National Library of Energy BETA

Sample records for quality metrics level

  1. Label-invariant Mesh Quality Metrics. (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Label-invariant Mesh Quality Metrics. Citation Details In-Document Search Title: Label-invariant Mesh Quality Metrics. Abstract not provided. Authors: Knupp, Patrick Publication...

  2. ARM - Evaluation Product - AERI Data Quality Metric (AERI-QC)

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

    ProductsAERI Data Quality Metric (AERI-QC) Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : AERI Data Quality Metric (AERI-QC) Ancillary NetCDF file to be used with the regular AERI data files to document times when the data may not be correct. Data Details Contact David Turner National Oceanic and Atmospheric Administration

  3. Analysis of Solar Cell Quality Using Voltage Metrics: Preprint

    SciTech Connect (OSTI)

    Toberer, E. S.; Tamboli, A. C.; Steiner, M.; Kurtz, S.

    2012-06-01

    The highest efficiency solar cells provide both excellent voltage and current. Of these, the open-circuit voltage (Voc) is more frequently viewed as an indicator of the material quality. However, since the Voc also depends on the band gap of the material, the difference between the band gap and the Voc is a better metric for comparing material quality of unlike materials. To take this one step further, since Voc also depends on the shape of the absorption edge, we propose to use the ultimate metric: the difference between the measured Voc and the Voc calculated from the external quantum efficiency using a detailed balance approach. This metric is less sensitive to changes in cell design and definition of band gap. The paper defines how to implement this metric and demonstrates how it can be useful in tracking improvements in Voc, especially as Voc approaches its theoretical maximum.

  4. Metrics

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

    Metrics Metrics Los Alamos expands its innovation network by engaging in sponsored research and licensing across technical disciplines. These agreements are the basis of a working relationship with industry and other research institutions and highlight the diversity of our collaborations. Los Alamos has a remarkable 70-year legacy of creating entirely new technologies that have revolutionized the country's understanding of science and engineering. Collaborations Data from Fiscal Year 2014. FY14

  5. Development of Technology Readiness Level (TRL) Metrics and Risk Measures

    SciTech Connect (OSTI)

    Engel, David W.; Dalton, Angela C.; Anderson, K. K.; Sivaramakrishnan, Chandrika; Lansing, Carina

    2012-10-01

    This is an internal project milestone report to document the CCSI Element 7 team's progress on developing Technology Readiness Level (TRL) metrics and risk measures. In this report, we provide a brief overview of the current technology readiness assessment research, document the development of technology readiness levels (TRLs) specific to carbon capture technologies, describe the risk measures and uncertainty quantification approaches used in our research, and conclude by discussing the next steps that the CCSI Task 7 team aims to accomplish.

  6. GPRA 2003 quality metrics methodology and results: Office of Industrial Technologies

    SciTech Connect (OSTI)

    None, None

    2002-04-19

    This report describes the results, calculations, and assumptions underlying the GPRA 2003 Quality Metrics results for all Planning Units withing the Office of Industrial Technologies.

  7. Quantitative metrics for assessment of chemical image quality and spatial resolution

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

    Kertesz, Vilmos; Cahill, John F.; Van Berkel, Gary J.

    2016-02-28

    Rationale: Currently objective/quantitative descriptions of the quality and spatial resolution of mass spectrometry derived chemical images are not standardized. Development of these standardized metrics is required to objectively describe chemical imaging capabilities of existing and/or new mass spectrometry imaging technologies. Such metrics would allow unbiased judgment of intra-laboratory advancement and/or inter-laboratory comparison for these technologies if used together with standardized surfaces. Methods: We developed two image metrics, viz., chemical image contrast (ChemIC) based on signal-to-noise related statistical measures on chemical image pixels and corrected resolving power factor (cRPF) constructed from statistical analysis of mass-to-charge chronograms across features of interest inmorean image. These metrics, quantifying chemical image quality and spatial resolution, respectively, were used to evaluate chemical images of a model photoresist patterned surface collected using a laser ablation/liquid vortex capture mass spectrometry imaging system under different instrument operational parameters. Results: The calculated ChemIC and cRPF metrics determined in an unbiased fashion the relative ranking of chemical image quality obtained with the laser ablation/liquid vortex capture mass spectrometry imaging system. These rankings were used to show that both chemical image contrast and spatial resolution deteriorated with increasing surface scan speed, increased lane spacing and decreasing size of surface features. Conclusions: ChemIC and cRPF, respectively, were developed and successfully applied for the objective description of chemical image quality and spatial resolution of chemical images collected from model surfaces using a laser ablation/liquid vortex capture mass spectrometry imaging system.less

  8. Recommendations for mass spectrometry data quality metrics for open access data(corollary to the Amsterdam principles)

    SciTech Connect (OSTI)

    Kingsinger, Christopher R.; Apffel, James; Baker, Mark S.; Bian, Xiaopeng; Borchers, Christoph H.; Bradshaw, Ralph A.; Brusniak, Mi-Youn; Chan, Daniel W.; Deutsch, Eric W.; Domon, Bruno; Gorman, Jeff; Grimm, Rudolf; Hancock, William S.; Hermjakob, Henning; Horn, David; Hunter, Christie; Kolar, Patrik; Kraus, Hans-Joachim; Langen, Hanno; Linding, Rune; Moritz, Robert L.; Omenn, Gilbert S.; Orlando, Ron; Pandey, Akhilesh; Ping, Peipei; Rahbar, Amir; Rivers, Robert; Seymour, Sean L.; Simpson, Richard J.; Slotta, Douglas; Smith, Richard D.; Stein, Stephen E.; Tabb, David L.; Tagle, Danilo; Yates, John R.; Rodriguez, Henry

    2011-12-01

    Policies supporting the rapid and open sharing of proteomic data are being implemented by the leading journals in the field. The proteomics community is taking steps to ensure that data are made publicly accessible and are of high quality, a challenging task that requires the development and deployment of methods for measuring and documenting data quality metrics. On September 18, 2010, the U.S. National Cancer Institute (NCI) convened the 'International Workshop on Proteomic Data Quality Metrics' in Sydney, Australia, to identify and address issues facing the development and use of such methods for open access proteomics data. The stakeholders at the workshop enumerated the key principles underlying a framework for data quality assessment in mass spectrometry data that will meet the needs of the search community, journals, funding agencies, and data repositories. Attendees discussed and agreed upon two primary needs for the wide use of quality metrics: (i)an evolving list of comprehensive quality metrics and (ii)standards accompanied by software analytics. Attendees stressed the importance of increased education and training programs to promote reliable protocols in proteomics. This workshop report explores the historic precedents, key discussions, and necessary next steps to enhance the quality of open access data. By agreement, this article is published simultaneously in Proteomics, Proteomics Clinical Applications, Journal of Proteome Research, and Molecular and Cellular Proteomics, as a public service to the research community.The peer review process was a coordinated effort conducted by a panel of referees selected by the journals.

  9. Derivation of a Levelized Cost of Coating (LCOC) metric for evaluation of solar selective absorber materials

    SciTech Connect (OSTI)

    Ho, C. K.; Pacheco, J. E.

    2015-06-05

    A new metric, the Levelized Cost of Coating (LCOC), is derived in this paper to evaluate and compare alternative solar selective absorber coatings against a baseline coating (Pyromark 2500). In contrast to previous metrics that focused only on the optical performance of the coating, the LCOC includes costs, durability, and optical performance for more comprehensive comparisons among candidate materials. The LCOC is defined as the annualized marginal cost of the coating to produce a baseline annual thermal energy production. Costs include the cost of materials and labor for initial application and reapplication of the coating, as well as the cost of additional or fewer heliostats to yield the same annual thermal energy production as the baseline coating. Results show that important factors impacting the LCOC include the initial solar absorptance, thermal emittance, reapplication interval, degradation rate, reapplication cost, and downtime during reapplication. The LCOC can also be used to determine the optimal reapplication interval to minimize the levelized cost of energy production. As a result, similar methods can be applied more generally to determine the levelized cost of component for other applications and systems.

  10. Derivation of a Levelized Cost of Coating (LCOC) metric for evaluation of solar selective absorber materials

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

    Ho, C. K.; Pacheco, J. E.

    2015-06-05

    A new metric, the Levelized Cost of Coating (LCOC), is derived in this paper to evaluate and compare alternative solar selective absorber coatings against a baseline coating (Pyromark 2500). In contrast to previous metrics that focused only on the optical performance of the coating, the LCOC includes costs, durability, and optical performance for more comprehensive comparisons among candidate materials. The LCOC is defined as the annualized marginal cost of the coating to produce a baseline annual thermal energy production. Costs include the cost of materials and labor for initial application and reapplication of the coating, as well as the costmore » of additional or fewer heliostats to yield the same annual thermal energy production as the baseline coating. Results show that important factors impacting the LCOC include the initial solar absorptance, thermal emittance, reapplication interval, degradation rate, reapplication cost, and downtime during reapplication. The LCOC can also be used to determine the optimal reapplication interval to minimize the levelized cost of energy production. As a result, similar methods can be applied more generally to determine the levelized cost of component for other applications and systems.« less

  11. Resilience Metrics

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

    of good metrics - Comprehensive - Understandable - Practical - Non-redundant - Minimal The above create defensible, transparent and repeatable metrics Metrics for ...

  12. Knowledge-based prediction of plan quality metrics in intracranial stereotactic radiosurgery

    SciTech Connect (OSTI)

    Shiraishi, Satomi; Moore, Kevin L.; Tan, Jun; Olsen, Lindsey A.

    2015-02-15

    Purpose: The objective of this work was to develop a comprehensive knowledge-based methodology for predicting achievable dose–volume histograms (DVHs) and highly precise DVH-based quality metrics (QMs) in stereotactic radiosurgery/radiotherapy (SRS/SRT) plans. Accurate QM estimation can identify suboptimal treatment plans and provide target optimization objectives to standardize and improve treatment planning. Methods: Correlating observed dose as it relates to the geometric relationship of organs-at-risk (OARs) to planning target volumes (PTVs) yields mathematical models to predict achievable DVHs. In SRS, DVH-based QMs such as brain V{sub 10Gy} (volume receiving 10 Gy or more), gradient measure (GM), and conformity index (CI) are used to evaluate plan quality. This study encompasses 223 linear accelerator-based SRS/SRT treatment plans (SRS plans) using volumetric-modulated arc therapy (VMAT), representing 95% of the institution’s VMAT radiosurgery load from the past four and a half years. Unfiltered models that use all available plans for the model training were built for each category with a stratification scheme based on target and OAR characteristics determined emergently through initial modeling process. Model predictive accuracy is measured by the mean and standard deviation of the difference between clinical and predicted QMs, δQM = QM{sub clin} − QM{sub pred}, and a coefficient of determination, R{sup 2}. For categories with a large number of plans, refined models are constructed by automatic elimination of suspected suboptimal plans from the training set. Using the refined model as a presumed achievable standard, potentially suboptimal plans are identified. Predictions of QM improvement are validated via standardized replanning of 20 suspected suboptimal plans based on dosimetric predictions. The significance of the QM improvement is evaluated using the Wilcoxon signed rank test. Results: The most accurate predictions are obtained when plans are stratified based on proximity to OARs and their PTV volume sizes. Volumes are categorized into small (V{sub PTV} < 2 cm{sup 3}), medium (2 cm{sup 3} < V{sub PTV} < 25 cm{sup 3}), and large (25 cm{sup 3} < V{sub PTV}). The unfiltered models demonstrate the ability to predict GMs to ∼1 mm and fractional brain V{sub 10Gy} to ∼25% for plans with large V{sub PTV} and critical OAR involvements. Increased accuracy and precision of QM predictions are obtained when high quality plans are selected for the model training. For the small and medium V{sub PTV} plans without critical OAR involvement, predictive ability was evaluated using the refined model. For training plans, the model predicted GM to an accuracy of 0.2 ± 0.3 mm and fractional brain V{sub 10Gy} to 0.04 ± 0.12, suggesting highly accurate predictive ability. For excluded plans, the average δGM was 1.1 mm and fractional brain V{sub 10Gy} was 0.20. These δQM are significantly greater than those of the model training plans (p < 0.001). For CI, predictions are close to clinical values and no significant difference was observed between the training and excluded plans (p = 0.19). Twenty outliers with δGM > 1.35 mm were identified as potentially suboptimal, and replanning these cases using predicted target objectives demonstrates significant improvements on QMs: on average, 1.1 mm reduction in GM (p < 0.001) and 23% reduction in brain V{sub 10Gy} (p < 0.001). After replanning, the difference of δGM distribution between the 20 replans and the refined model training plans was marginal. Conclusions: The results demonstrate the ability to predict SRS QMs precisely and to identify suboptimal plans. Furthermore, the knowledge-based DVH predictions were directly used as target optimization objectives and allowed a standardized planning process that bettered the clinically approved plans. Full clinical application of this methodology can improve consistency of SRS plan quality in a wide range of PTV volume and proximity to OARs and facilitate automated treatment planning for this critical treatment site.

  13. Determine metrics and set targets for soil quality on agriculture residue and energy crop pathways

    SciTech Connect (OSTI)

    Ian Bonner; David Muth

    2013-09-01

    There are three objectives for this project: 1) support OBP in meeting MYPP stated performance goals for the Sustainability Platform, 2) develop integrated feedstock production system designs that increase total productivity of the land, decrease delivered feedstock cost to the conversion facilities, and increase environmental performance of the production system, and 3) deliver to the bioenergy community robust datasets and flexible analysis tools for establishing sustainable and viable use of agricultural residues and dedicated energy crops. The key project outcome to date has been the development and deployment of a sustainable agricultural residue removal decision support framework. The modeling framework has been used to produce a revised national assessment of sustainable residue removal potential. The national assessment datasets are being used to update national resource assessment supply curves using POLYSIS. The residue removal modeling framework has also been enhanced to support high fidelity sub-field scale sustainable removal analyses. The framework has been deployed through a web application and a mobile application. The mobile application is being used extensively in the field with industry, research, and USDA NRCS partners to support and validate sustainable residue removal decisions. The results detailed in this report have set targets for increasing soil sustainability by focusing on primary soil quality indicators (total organic carbon and erosion) in two agricultural residue management pathways and a dedicated energy crop pathway. The two residue pathway targets were set to, 1) increase residue removal by 50% while maintaining soil quality, and 2) increase soil quality by 5% as measured by Soil Management Assessment Framework indicators. The energy crop pathway was set to increase soil quality by 10% using these same indicators. To demonstrate the feasibility and impact of each of these targets, seven case studies spanning the US are presented. The analysis has shown that the feedstock production systems are capable of simultaneously increasing productivity and soil sustainability.

  14. DOE JGI Quality Metrics; Approaches to Scaling and Improving Metagenome Assembly (Metagenomics Informatics Challenges Workshop: 10K Genomes at a Time)

    ScienceCinema (OSTI)

    Copeland, Alex [DOE JGI]; Brown, C Titus [Michigan State University

    2013-01-22

    DOE JGI's Alex Copeland on "DOE JGI Quality Metrics" and Michigan State University's C. Titus Brown on "Approaches to Scaling and Improving Metagenome Assembly" at the Metagenomics Informatics Challenges Workshop held at the DOE JGI on October 12-13, 2011.

  15. Instructions for EM Corporate Performance Metrics | Department of Energy

    Energy Savers [EERE]

    Instructions for EM Corporate Performance Metrics Instructions for EM Corporate Performance Metrics Quality Program Criteria PDF icon Instructions for EM Corporate Performance Metrics More Documents & Publications EM Corporate QA Performance Metrics CPMS Tables QA Corporate Board Meeting - July 2008

  16. Levelized cost of energy (LCOE) metric to characterize solar absorber coatings for the CSP industry

    SciTech Connect (OSTI)

    Boubault, Antoine; Ho, Clifford K.; Hall, Aaron; Lambert, Timothy N.; Ambrosini, Andrea

    2015-07-08

    The contribution of each component of a power generation plant to the levelized cost of energy (LCOE) can be estimated and used to increase the power output while reducing system operation and maintenance costs. The LCOE is used in order to quantify solar receiver coating influence on the LCOE of solar power towers. Two new parameters are introduced: the absolute levelized cost of coating (LCOC) and the LCOC efficiency. Depending on the material properties, aging, costs, and temperature, the absolute LCOC enables quantifying the cost-effectiveness of absorber coatings, as well as finding optimal operating conditions. The absolute LCOC is investigated for different hypothetic coatings and is demonstrated on Pyromark 2500 paint. Results show that absorber coatings yield lower LCOE values in most cases, even at significant costs. Optimal reapplication intervals range from one to five years. At receiver temperatures greater than 700 °C, non-selective coatings are not always worthwhile while durable selective coatings consistently reduce the LCOE—up to 12% of the value obtained for an uncoated receiver. Moreover the absolute LCOC is a powerful tool to characterize and compare different coatings, not only considering their initial efficiencies but also including their durability.

  17. Levelized cost of energy (LCOE) metric to characterize solar absorber coatings for the CSP industry

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

    Boubault, Antoine; Ho, Clifford K.; Hall, Aaron; Lambert, Timothy N.; Ambrosini, Andrea

    2015-07-08

    The contribution of each component of a power generation plant to the levelized cost of energy (LCOE) can be estimated and used to increase the power output while reducing system operation and maintenance costs. The LCOE is used in order to quantify solar receiver coating influence on the LCOE of solar power towers. Two new parameters are introduced: the absolute levelized cost of coating (LCOC) and the LCOC efficiency. Depending on the material properties, aging, costs, and temperature, the absolute LCOC enables quantifying the cost-effectiveness of absorber coatings, as well as finding optimal operating conditions. The absolute LCOC is investigatedmore » for different hypothetic coatings and is demonstrated on Pyromark 2500 paint. Results show that absorber coatings yield lower LCOE values in most cases, even at significant costs. Optimal reapplication intervals range from one to five years. At receiver temperatures greater than 700 °C, non-selective coatings are not always worthwhile while durable selective coatings consistently reduce the LCOE—up to 12% of the value obtained for an uncoated receiver. Moreover the absolute LCOC is a powerful tool to characterize and compare different coatings, not only considering their initial efficiencies but also including their durability.« less

  18. Surveillance metrics sensitivity study.

    SciTech Connect (OSTI)

    Hamada, Michael S.; Bierbaum, Rene Lynn; Robertson, Alix A.

    2011-09-01

    In September of 2009, a Tri-Lab team was formed to develop a set of metrics relating to the NNSA nuclear weapon surveillance program. The purpose of the metrics was to develop a more quantitative and/or qualitative metric(s) describing the results of realized or non-realized surveillance activities on our confidence in reporting reliability and assessing the stockpile. As a part of this effort, a statistical sub-team investigated various techniques and developed a complementary set of statistical metrics that could serve as a foundation for characterizing aspects of meeting the surveillance program objectives. The metrics are a combination of tolerance limit calculations and power calculations, intending to answer level-of-confidence type questions with respect to the ability to detect certain undesirable behaviors (catastrophic defects, margin insufficiency defects, and deviations from a model). Note that the metrics are not intended to gauge product performance but instead the adequacy of surveillance. This report gives a short description of four metrics types that were explored and the results of a sensitivity study conducted to investigate their behavior for various inputs. The results of the sensitivity study can be used to set the risk parameters that specify the level of stockpile problem that the surveillance program should be addressing.

  19. Resilience Metrics

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

    Dr. Julia Phillips and Angeli Tompkins Infrastructure Assurance Center Prepared for Quadrennial Energy Review Technical Workshop on Resilience Metrics for Energy Transmission and Distribution Infrastructure April 28, 2014 Infrastructure Assurance Center  Started as a follow on to work on the PCCIP in late 90s - Focused on critical infrastructure protection initially - Morphed into focus on resilience  ECIP program and RRAP  Center for Integrated Resilience Analysis - The CIRA vision is

  20. Evaluating IMRT and VMAT dose accuracy: Practical examples of failure to detect systematic errors when applying a commonly used metric and action levels

    SciTech Connect (OSTI)

    Nelms, Benjamin E.; Chan, Maria F.; Jarry, Genevive; Lemire, Matthieu; Lowden, John; Hampton, Carnell

    2013-11-15

    Purpose: This study (1) examines a variety of real-world cases where systematic errors were not detected by widely accepted methods for IMRT/VMAT dosimetric accuracy evaluation, and (2) drills-down to identify failure modes and their corresponding means for detection, diagnosis, and mitigation. The primary goal of detailing these case studies is to explore different, more sensitive methods and metrics that could be used more effectively for evaluating accuracy of dose algorithms, delivery systems, and QA devices.Methods: The authors present seven real-world case studies representing a variety of combinations of the treatment planning system (TPS), linac, delivery modality, and systematic error type. These case studies are typical to what might be used as part of an IMRT or VMAT commissioning test suite, varying in complexity. Each case study is analyzed according to TG-119 instructions for gamma passing rates and action levels for per-beam and/or composite plan dosimetric QA. Then, each case study is analyzed in-depth with advanced diagnostic methods (dose profile examination, EPID-based measurements, dose difference pattern analysis, 3D measurement-guided dose reconstruction, and dose grid inspection) and more sensitive metrics (2% local normalization/2 mm DTA and estimated DVH comparisons).Results: For these case studies, the conventional 3%/3 mm gamma passing rates exceeded 99% for IMRT per-beam analyses and ranged from 93.9% to 100% for composite plan dose analysis, well above the TG-119 action levels of 90% and 88%, respectively. However, all cases had systematic errors that were detected only by using advanced diagnostic techniques and more sensitive metrics. The systematic errors caused variable but noteworthy impact, including estimated target dose coverage loss of up to 5.5% and local dose deviations up to 31.5%. Types of errors included TPS model settings, algorithm limitations, and modeling and alignment of QA phantoms in the TPS. Most of the errors were correctable after detection and diagnosis, and the uncorrectable errors provided useful information about system limitations, which is another key element of system commissioning.Conclusions: Many forms of relevant systematic errors can go undetected when the currently prevalent metrics for IMRT/VMAT commissioning are used. If alternative methods and metrics are used instead of (or in addition to) the conventional metrics, these errors are more likely to be detected, and only once they are detected can they be properly diagnosed and rooted out of the system. Removing systematic errors should be a goal not only of commissioning by the end users but also product validation by the manufacturers. For any systematic errors that cannot be removed, detecting and quantifying them is important as it will help the physicist understand the limits of the system and work with the manufacturer on improvements. In summary, IMRT and VMAT commissioning, along with product validation, would benefit from the retirement of the 3%/3 mm passing rates as a primary metric of performance, and the adoption instead of tighter tolerances, more diligent diagnostics, and more thorough analysis.

  1. Metric Presentation

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

    MODERN GRID S T R A T E G Y Smart Grid Metrics Monitoring our Progress Smart Grid Implementation Workshop Joe Miller - Modern Grid Team June 19, 2008 1 Conducted by the National Energy Technology Laboratory Funded by the U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability 2 Office of Electricity Delivery and Energy Reliability MODERN GRID S T R A T E G Y Many are working on the Smart Grid FERC DOE-OE Grid 2030 GridWise Alliance EEI NERC (FM) DOE/NETL Modern Grid

  2. EM Corporate QA Performance Metrics | Department of Energy

    Energy Savers [EERE]

    Corporate QA Performance Metrics EM Corporate QA Performance Metrics Quality Program Criteria Summary PDF icon EM Corporate QA Performance Metrics More Documents & Publications QA Corporate Board Meeting - November 2008 Instructions for EM Corporate Performance Metrics FY 2015 SENIOR EXECUTIVE SERVICE (SES) AND SENIOR PROFESSIONAL (SP) PERFORMANCE APPRAISAL CYCLE - CLOSEOUT GUIDANCE

  3. ARM - 2007 Performance Metrics

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

    7 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) Earth System Modeling Regional & Global Climate Modeling Terrestrial Ecosystem Science Performance Metrics User Meetings Past ARM Science Team Meetings ASR Meetings Accomplishments Accomplishments in Atmospheric Science, 2008-2013 (PDF, 7.4MB) ARM Accomplishments from the Science Program and User Facility, 1989-2008 (PDF, 696KB) 2007 Performance Metrics A Single

  4. ARM - 2008 Performance Metrics

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

    8 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) Earth System Modeling Regional & Global Climate...

  5. ARM - 2006 Performance Metrics

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

    6 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) Earth System Modeling Regional & Global Climate...

  6. ARM - 2009 Performance Metrics

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

    9 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) Earth System Modeling Regional & Global Climate...

  7. STAR METRICS | Department of Energy

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

    STAR METRICS STAR METRICS May 4, 2011 - 4:47pm Addthis Energy continues to define Phase II of the STAR METRICS program, a collaborative initiative to track Research and Development...

  8. Metric Construction | Open Energy Information

    Open Energy Info (EERE)

    Metric Construction Jump to: navigation, search Name: Metric Construction Place: Boston, MA Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test...

  9. Cyber threat metrics.

    SciTech Connect (OSTI)

    Frye, Jason Neal; Veitch, Cynthia K.; Mateski, Mark Elliot; Michalski, John T.; Harris, James Mark; Trevino, Cassandra M.; Maruoka, Scott

    2012-03-01

    Threats are generally much easier to list than to describe, and much easier to describe than to measure. As a result, many organizations list threats. Fewer describe them in useful terms, and still fewer measure them in meaningful ways. This is particularly true in the dynamic and nebulous domain of cyber threats - a domain that tends to resist easy measurement and, in some cases, appears to defy any measurement. We believe the problem is tractable. In this report we describe threat metrics and models for characterizing threats consistently and unambiguously. The purpose of this report is to support the Operational Threat Assessment (OTA) phase of risk and vulnerability assessment. To this end, we focus on the task of characterizing cyber threats using consistent threat metrics and models. In particular, we address threat metrics and models for describing malicious cyber threats to US FCEB agencies and systems.

  10. NIF Target Shot Metrics

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

    Target Shot Metrics Exp Cap - Experimental Capability Natl Sec Appl - National Security Applications DS - Discovery Science SSP_ICF - SSP Inertial Confinement Fusion SSP_HED - SSP High Energy Density SSP - Stockpile Stewardship Program For internal LLNL firewall viewing - if the page is blank, please open www.google.com to flush out BCB

  11. Metrics for Energy Resilience

    SciTech Connect (OSTI)

    Paul E. Roege; Zachary A. Collier; James Mancillas; John A. McDonagh; Igor Linkov

    2014-09-01

    Energy lies at the backbone of any advanced society and constitutes an essential prerequisite for economic growth, social order and national defense. However there is an Achilles heel to today?s energy and technology relationship; namely a precarious intimacy between energy and the fiscal, social, and technical systems it supports. Recently, widespread and persistent disruptions in energy systems have highlighted the extent of this dependence and the vulnerability of increasingly optimized systems to changing conditions. Resilience is an emerging concept that offers to reconcile considerations of performance under dynamic environments and across multiple time frames by supplementing traditionally static system performance measures to consider behaviors under changing conditions and complex interactions among physical, information and human domains. This paper identifies metrics useful to implement guidance for energy-related planning, design, investment, and operation. Recommendations are presented using a matrix format to provide a structured and comprehensive framework of metrics relevant to a system?s energy resilience. The study synthesizes previously proposed metrics and emergent resilience literature to provide a multi-dimensional model intended for use by leaders and practitioners as they transform our energy posture from one of stasis and reaction to one that is proactive and which fosters sustainable growth.

  12. Sheet1 Water Availability Metric (Acre-Feet/Yr) Water Cost Metric ($/Acre-Foot)

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

    Sheet1 Water Availability Metric (Acre-Feet/Yr) Water Cost Metric ($/Acre-Foot) Current Water Use (Acre-Feet/Yr) Projected Use in 2030 (Acre-Feet/Yr) HUC_8 STATE BASIN SUBBASIN UNAPPROPRIATED SURFACE WATER METRIC UNAPPROPRIATED GROUNDWATER METRIC APPROPRIATED WATER METRIC BRACKISH GROUNDWATER METRIC WASTEWATER METRIC UNAPPROPRIATED GROUNDWATER COST METRIC APPROPRIATED WATER COST METRIC BRACKISH GROUNDWATER COST METRIC WASTEWATER COST METRIC M&I_2012 AG_2012 ENVIRONMENT 2012 THERMOELECTIC

  13. Resilient Control Systems Practical Metrics Basis for Defining Mission Impact

    SciTech Connect (OSTI)

    Craig G. Rieger

    2014-08-01

    "Resilience describes how systems operate at an acceptable level of normalcy despite disturbances or threats. In this paper we first consider the cognitive, cyber-physical interdependencies inherent in critical infrastructure systems and how resilience differs from reliability to mitigate these risks. Terminology and metrics basis are provided to integrate the cognitive, cyber-physical aspects that should be considered when defining solutions for resilience. A practical approach is taken to roll this metrics basis up to system integrity and business case metrics that establish proper operation and impact. A notional chemical processing plant is the use case for demonstrating how the system integrity metrics can be applied to establish performance, and

  14. Ames Laboratory Metrics | The Ames Laboratory

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

    Metrics Document Number: NA Effective Date: 01/2016 File (public): PDF icon ameslab_metrics_01-14-16

  15. FY 2014 Metric Summary | Department of Energy

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

    4 Q1 Metric Summary.pdf PDF icon FY 2014 Q2 Metric Summary.pdf PDF icon FY 2014 Q3 Metric Summary.pdf PDF icon FY 2014 Q4 Metric Summary.pdf More Documents & Publications FY 2014 Q3 Metric Summary FY 2015 METRIC SUMMARY

  16. FY 2015 METRIC SUMMARY | Department of Energy

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

    5 Q1 Metrics Summary.pdf PDF icon FY 2015 Q2 Metrics Summary.pdf PDF icon FY 2015 Q3 Metrics Summary.pdf PDF icon FY 2015 Q4 Metrics Summary.pdf More Documents & Publications FY 2014 Q3 Metric Summary FY 2014 Metric Summary

  17. EM Corporate Performance Metrics, Complex Level

    Office of Environmental Management (EM)

    98,053 106,526 LLLLMW disposed Legacy (Stored) and NGW Cubic Meters 1,558,048 1,209,709 1,237,779 1,265,849 MAAs eliminated Number of Material Access Areas 35 30 30 30 Nuclear...

  18. EM Corporate Performance Metrics, Site Level

    Office of Environmental Management (EM)

    completed 1 1 1 1 Grand Junction Geographic Sites Eliminated Number completed 3 2 2 2 Inhalation Toxicology Laboratory LLLLMW disposed Legacy (Stored) and NGW Cubic Meters 359...

  19. FY 2013 Metric Summary | Department of Energy

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

    3 Q1 Metric Summary_0.pdf PDF icon FY 2013 Q2 Metric Summary.pdf PDF icon FY 2013 Q3 Metric Summary.pdf PDF icon FY 2013 Q4 Metric Summary (Final).pdf More Documents & Publications FY 2012 Overall Contract and Project Management Improvement Performance Metrics and Targets FY 2014 Metric Summary FY 2011 Overall Contract and Project Management Improvement Performance Metrics and Targets

  20. Summary of Proposed Metrics - QER Technical Workshop on Energy Sector Resilience

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

    Summary of Proposed Metrics - QER Technical Workshop on Energy Sector Resilience Metrics (4/29/2014) Theory - RAND presentation  Guidelines for measuring resilience o Resilience describes the state of service from a system in response to a disruption (e.g., % service provided/time) o Best metrics depend on who is measuring resilience and why (systems, disruptions, responses, timescales) o Resilience metrics are used for many purposes and at may levels (supporting both strategic and

  1. Daylight metrics and energy savings

    SciTech Connect (OSTI)

    Mardaljevic, John; Heschong, Lisa; Lee, Eleanor

    2009-12-31

    The drive towards sustainable, low-energy buildings has increased the need for simple, yet accurate methods to evaluate whether a daylit building meets minimum standards for energy and human comfort performance. Current metrics do not account for the temporal and spatial aspects of daylight, nor of occupants comfort or interventions. This paper reviews the historical basis of current compliance methods for achieving daylit buildings, proposes a technical basis for development of better metrics, and provides two case study examples to stimulate dialogue on how metrics can be applied in a practical, real-world context.

  2. List of SEP Reporting Metrics

    Broader source: Energy.gov [DOE]

    DOE State Energy Program List of Reporting Metrics, which was produced by the Office of Energy Efficiency and Renewable Energy Weatherization and Intergovernmental Program for SEP and the Energy Efficiency and Conservation Block Grants (EECBG) programs.

  3. Module 6 - Metrics, Performance Measurements and Forecasting...

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

    This module focuses on the metrics and performance measurement tools used in Earned Value. This module reviews metrics such as cost and schedule variance along with cost and ...

  4. Common Carbon Metric | Open Energy Information

    Open Energy Info (EERE)

    Common Carbon Metric Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Common Carbon Metric AgencyCompany Organization: United Nations Environment Programme, World...

  5. ARM - Evaluation Product - Barrow Radiation Data (2009 metric)

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

    ProductsBarrow Radiation Data (2009 metric) ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Barrow Radiation Data (2009 metric) Observations from a suite of radiometers including Precision Spectral Pyranometers (PSPs), Precision Infrared Radiometers (PIRs), and a Normal Incident Pyrheliometer (NIP) are

  6. Buildings Performance Metrics Terminology | Department of Energy

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

    Buildings Performance Metrics Terminology Buildings Performance Metrics Terminology This document provides the terms and definitions used in the Department of Energys Performance Metrics Research Project. PDF icon metrics_terminology_20090203.pdf More Documents & Publications Procuring Architectural and Engineering Services for Energy Efficiency and Sustainability Transmittal Letter for the Statewide Benchmarking Process Evaluation Guide for Benchmarking Residential Energy Efficiency

  7. Performance Metrics Tiers | Department of Energy

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

    Commercial Buildings » Performance Metrics Tiers Performance Metrics Tiers The performance metrics defined by the Commercial Buildings Integration Program offer different tiers of information to address the needs of various users. On this page you will find information about the various goals users are trying to achieve by using performance metrics and the tiers of metrics. Goals in Measuring Performance Many individuals and groups are involved with a building over its lifetime, and all have

  8. Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.; Florita, A.; Lu, S.; Hamann, H. F.; Banunarayanan, V.

    2013-10-01

    Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.

  9. EECBG SEP Attachment 1 - Process metric list

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

    ... IT systems or software packages purchased Number of energy efficient outdoor area lights purchased 2 EECBG 10-07BSEP 10-006A Attachment 1: Process Metrics List Metric Area ...

  10. Multi-Metric Sustainability Analysis

    SciTech Connect (OSTI)

    Cowlin, S.; Heimiller, D.; Macknick, J.; Mann, M.; Pless, J.; Munoz, D.

    2014-12-01

    A readily accessible framework that allows for evaluating impacts and comparing tradeoffs among factors in energy policy, expansion planning, and investment decision making is lacking. Recognizing this, the Joint Institute for Strategic Energy Analysis (JISEA) funded an exploration of multi-metric sustainability analysis (MMSA) to provide energy decision makers with a means to make more comprehensive comparisons of energy technologies. The resulting MMSA tool lets decision makers simultaneously compare technologies and potential deployment locations.

  11. Definition of GPRA08 benefits metrics

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Background information for the FY 2007 GPRA methodology review on the definitions of GPRA08 benefits metrics.

  12. EECBG SEP Attachment 1 - Process metric list

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

    10-07B/SEP 10-006A Attachment 1: Process Metrics List Metric Area Metric Primary or Optional Metric Item(s) to Report On 1. Building Retrofits 1a. Buildings retrofitted, by sector Number of buildings retrofitted Square footage of buildings retrofitted 1b. Energy management systems installed, by sector Number of energy management systems installed Square footage of buildings under management 1c. Building roofs retrofitted, by sector Number of building roofs retrofitted Square footage of building

  13. Comparing Resource Adequacy Metrics: Preprint

    SciTech Connect (OSTI)

    Ibanez, E.; Milligan, M.

    2014-09-01

    As the penetration of variable generation (wind and solar) increases around the world, there is an accompanying growing interest and importance in accurately assessing the contribution that these resources can make toward planning reserve. This contribution, also known as the capacity credit or capacity value of the resource, is best quantified by using a probabilistic measure of overall resource adequacy. In recognizing the variable nature of these renewable resources, there has been interest in exploring the use of reliability metrics other than loss of load expectation. In this paper, we undertake some comparisons using data from the Western Electricity Coordinating Council in the western United States.

  14. Conceptual Soundness, Metric Development, Benchmarking, and Targeting for PATH Subprogram Evaluation

    SciTech Connect (OSTI)

    Mosey. G.; Doris, E.; Coggeshall, C.; Antes, M.; Ruch, J.; Mortensen, J.

    2009-01-01

    The objective of this study is to evaluate the conceptual soundness of the U.S. Department of Housing and Urban Development (HUD) Partnership for Advancing Technology in Housing (PATH) program's revised goals and establish and apply a framework to identify and recommend metrics that are the most useful for measuring PATH's progress. This report provides an evaluative review of PATH's revised goals, outlines a structured method for identifying and selecting metrics, proposes metrics and benchmarks for a sampling of individual PATH programs, and discusses other metrics that potentially could be developed that may add value to the evaluation process. The framework and individual program metrics can be used for ongoing management improvement efforts and to inform broader program-level metrics for government reporting requirements.

  15. Efficient Synchronization Stability Metrics for Fault Clearing...

    Office of Scientific and Technical Information (OSTI)

    Title: Efficient Synchronization Stability Metrics for Fault Clearing Authors: Backhaus, Scott N. 1 ; Chertkov, Michael 1 ; Bent, Russell Whitford 1 ; Bienstock, Daniel 2...

  16. FY 2014 Q3 Metric Summary | Department of Energy

    Office of Environmental Management (EM)

    4 Q3 Metric Summary FY 2014 Q3 Metric Summary FY 2014 Q3 Metric Summary PDF icon FY 2014 Q3 Metric Summary.pdf More Documents & Publications FY 2014 Overall Contract and Project Management Improvement Performance Metrics and Targets FY 2015 Overall Contract and Project Management Improvement Performance Metrics and Targets FY 2016 Overall Contract and Project Management Improvement Performance Metrics and Targets

  17. Smart Grid Status and Metrics Report Appendices

    SciTech Connect (OSTI)

    Balducci, Patrick J.; Antonopoulos, Chrissi A.; Clements, Samuel L.; Gorrissen, Willy J.; Kirkham, Harold; Ruiz, Kathleen A.; Smith, David L.; Weimar, Mark R.; Gardner, Chris; Varney, Jeff

    2014-07-01

    A smart grid uses digital power control and communication technology to improve the reliability, security, flexibility, and efficiency of the electric system, from large generation through the delivery systems to electricity consumers and a growing number of distributed generation and storage resources. To convey progress made in achieving the vision of a smart grid, this report uses a set of six characteristics derived from the National Energy Technology Laboratory Modern Grid Strategy. The Smart Grid Status and Metrics Report defines and examines 21 metrics that collectively provide insight into the grid’s capacity to embody these characteristics. This appendix presents papers covering each of the 21 metrics identified in Section 2.1 of the Smart Grid Status and Metrics Report. These metric papers were prepared in advance of the main body of the report and collectively form its informational backbone.

  18. Practical Diagnostics for Evaluating Residential Commissioning Metrics

    SciTech Connect (OSTI)

    Wray, Craig; Walker, Iain; Siegel, Jeff; Sherman, Max

    2002-06-11

    In this report, we identify and describe 24 practical diagnostics that are ready now to evaluate residential commissioning metrics, and that we expect to include in the commissioning guide. Our discussion in the main body of this report is limited to existing diagnostics in areas of particular concern with significant interactions: envelope and HVAC systems. These areas include insulation quality, windows, airtightness, envelope moisture, fan and duct system airflows, duct leakage, cooling equipment charge, and combustion appliance backdrafting with spillage. Appendix C describes the 83 other diagnostics that we have examined in the course of this project, but that are not ready or are inappropriate for residential commissioning. Combined with Appendix B, Table 1 in the main body of the report summarizes the advantages and disadvantages of all 107 diagnostics. We first describe what residential commissioning is, its characteristic elements, and how one might structure its process. Our intent in this discussion is to formulate and clarify these issues, but is largely preliminary because such a practice does not yet exist. Subsequent sections of the report describe metrics one can use in residential commissioning, along with the consolidated set of 24 practical diagnostics that the building industry can use now to evaluate them. Where possible, we also discuss the accuracy and usability of diagnostics, based on recent laboratory work and field studies by LBNL staff and others in more than 100 houses. These studies concentrate on evaluating diagnostics in the following four areas: the DeltaQ duct leakage test, air-handler airflow tests, supply and return grille airflow tests, and refrigerant charge tests. Appendix A describes those efforts in detail. In addition, where possible, we identify the costs to purchase diagnostic equipment and the amount of time required to conduct the diagnostics. Table 1 summarizes these data. Individual equipment costs for the 24 practical diagnostics range from a few hundred dollars to many thousands of dollars. The higher costs are associated with infrared thermography and state-of-the-art automated diagnostic systems. Most tests can be performed in one hour or less, using equipment priced toward the lower end of the cost spectrum.

  19. Deep-level emission in ZnO nanowires and bulk crystals: Excitation-intensity dependence versus crystalline quality

    SciTech Connect (OSTI)

    Hou, Dongchao; Voss, Tobias; Ronning, Carsten; Menzel, Andreas; Zacharias, Margit

    2014-06-21

    The excitation-intensity dependence of the excitonic near-band-edge emission (NBE) and deep-level related emission (DLE) bands in ZnO nanowires and bulk crystals is studied, which show distinctly different power laws. The behavior can be well explained with a rate-equation model taking into account deep donor and acceptor levels with certain capture cross sections for electrons from the conduction band and different radiative lifetimes. In addition, a further crucial ingredient of this model is the background n-type doping concentration inherent in almost all ZnO single crystals. The interplay of the deep defects and the background free-electron concentration in the conduction band at room temperature reproduces the experimental results well over a wide range of excitation intensities (almost five orders of magnitude). The results demonstrate that for many ZnO bulk samples and nanostructures, the relative intensity R?=?I{sub NBE}/I{sub DLE} can be adjusted over a wide range by varying the excitation intensity, thus, showing that R should not be taken as an indicator for the crystalline quality of ZnO samples unless absolute photoluminescence intensities under calibrated excitation conditions are compared. On the other hand, the results establish an all-optical technique to determine the relative doping levels in different ZnO samples by measuring the excitation-intensity dependence of the UV and visible luminescence bands.

  20. Microsoft Word - QER Resilience Metrics - Technical Workshp ...

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

    ... DOE should be made aware of, you should begin thinking about how your work on resilience metrics could be used to assess energy infrastructure within the context of the QER goals. ...

  1. Clean Cities Annual Metrics Report 2009 (Revised)

    SciTech Connect (OSTI)

    Johnson, C.

    2011-08-01

    Document provides Clean Cities coalition metrics about the use of alternative fuels; the deployment of alternative fuel vehicles, hybrid electric vehicles (HEVs), and idle reduction initiatives; fuel economy activities; and programs to reduce vehicle miles driven.

  2. Technical Workshop: Resilience Metrics for Energy Transmission...

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

    PDF icon April 29, 2014 Agenda PDF icon April 29, 2014 Meeting Notes PDF icon April 29, 2014 Attendee List PDF icon April 29, 2014 Summary of Proposed Metrics PDF icon Henry H. ...

  3. Microsoft Word - QER Resilience Metrics - Technical Workshp ...

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

    ... Financial devastation) 10:15 - 10:30 am Break 10:30 - 12:00 pm (1.5 hours) Presentation of Electricity Resilience Metrics in a Use-Case Context - Dr. Jean-Paul Watson, Information ...

  4. Conceptual Framework for Developing Resilience Metrics for the...

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

    Conceptual Framework for Developing Resilience Metrics for the Electricity, Oil, and Gas Sectors in the United States Conceptual Framework for Developing Resilience Metrics for the ...

  5. Shallow ground-water flow, water levels, and quality of water, 1980-84, Cowles Unit, Indiana Dunes National Lakeshore

    SciTech Connect (OSTI)

    Cohen, D.A.; Shedlock, R.J.

    1986-01-01

    The Cowles Unit of Indiana Dunes National Lakeshore in Porter County, northwest Indiana, contains a broad dune-beach complex along the southern shoreline of Lake Michigan and a large wetland, called the Great Marsh, that occupies the lowland between the shoreline dunes and an older dune-beach complex farther inland. Water levels and water quality in the surficial aquifer were monitored from 1977 to 1984 near settling ponds on adjacent industrial property at the western end of the Cowles Unit. Since 1980, when the settling pond bottoms were sealed, these intradunal lowlands contained standing water only during periods of high snowmelt or rainfall. Water level declines following the cessation of seepage ranged from 6 feet at the eastern-most settling pond to nearly 14 feet at the western-most pond. No general pattern of water table decline was observed in the Great Marsh or in the shoreline dune complex at distances > 3,000 ft east or north of the settling ponds. Since the settling ponds were sealed, the concentration of boron has decreased while concentrations of cadmium, arsenic, zinc, and molybdenum in shallow ground-water downgradient of the ponds show no definite trends in time. Arsenic, boron and molybdenum have remained at concentrations above those of shallow groundwater in areas unaffected by settling pond seepage. 11 refs., 10 figs., 1 tab.

  6. Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B.; Florita, A.; Lu, S.; Hamann, H.; Banunarayanan, V.

    2013-10-01

    This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

  7. Metrics for comparison of crystallographic maps

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

    Urzhumtsev, Alexandre; Afonine, Pavel V.; Lunin, Vladimir Y.; Terwilliger, Thomas C.; Adams, Paul D.

    2014-10-01

    Numerical comparison of crystallographic contour maps is used extensively in structure solution and model refinement, analysis and validation. However, traditional metrics such as the map correlation coefficient (map CC, real-space CC or RSCC) sometimes contradict the results of visual assessment of the corresponding maps. This article explains such apparent contradictions and suggests new metrics and tools to compare crystallographic contour maps. The key to the new methods is rank scaling of the Fourier syntheses. The new metrics are complementary to the usual map CC and can be more helpful in map comparison, in particular when only some of their aspects,more » such as regions of high density, are of interest.« less

  8. EECBG SEP Attachment 1 - Process metric list | Department of Energy

    Energy Savers [EERE]

    SEP Attachment 1 - Process metric list EECBG SEP Attachment 1 - Process metric list Reporting Guidance Process Metric List PDF icon eecbg_10_07b_sep__10_006a_attachment1_process_metric_list.pdf More Documents & Publications EECBG 10-07C/SEP 10-006B Attachment 1: Process Metrics List EECBG Program Notice 10-07A DOE Recovery Act Reporting Requirements for the State Energy Program

  9. FY 2008 Overall Contract and Project Management Improvement Performance Metrics and Targets

    Broader source: Energy.gov [DOE]

    FY 2008 4th Quarter Metrics Final -- Overall Contract and Project Management Performance Metrics and Targets.

  10. Mesh Quality Improvement Toolkit

    Energy Science and Technology Software Center (OSTI)

    2002-11-15

    MESQUITE is a linkable software library to be used by simulation and mesh generation tools to improve the quality of meshes. Mesh quality is improved by node movement and/or local topological modifications. Various aspects of mesh quality such as smoothness, element shape, size, and orientation are controlled by choosing the appropriate mesh qualtiy metric, and objective function tempate, and a numerical optimization solver to optimize the quality of meshes, MESQUITE uses the TSTT mesh interfacemore » specification to provide an interoperable toolkit that can be used by applications which adopt the standard. A flexible code design makes it easy for meshing researchers to add additional mesh quality metrics, templates, and solvers to develop new quality improvement algorithms by making use of the MESQUITE infrastructure.« less

  11. Clean Cities 2011 Annual Metrics Report

    SciTech Connect (OSTI)

    Johnson, C.

    2012-12-01

    This report details the petroleum savings and vehicle emissions reductions achieved by the U.S. Department of Energy's Clean Cities program in 2011. The report also details other performance metrics, including the number of stakeholders in Clean Cities coalitions, outreach activities by coalitions and national laboratories, and alternative fuel vehicles deployed.

  12. Clean Cities 2010 Annual Metrics Report

    SciTech Connect (OSTI)

    Johnson, C.

    2012-10-01

    This report details the petroleum savings and vehicle emissions reductions achieved by the U.S. Department of Energy's Clean Cities program in 2010. The report also details other performance metrics, including the number of stakeholders in Clean Cities coalitions, outreach activities by coalitions and national laboratories, and alternative fuel vehicles deployed.

  13. Performance Metrics Research Project - Final Report

    SciTech Connect (OSTI)

    Deru, M.; Torcellini, P.

    2005-10-01

    NREL began work for DOE on this project to standardize the measurement and characterization of building energy performance. NREL's primary research objectives were to determine which performance metrics have greatest value for determining energy performance and to develop standard definitions and methods of measuring and reporting that performance.

  14. Western Resource Adequacy: Challenges - Approaches - Metrics | Department

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

    of Energy West-Wide Resource Assessment Team. Committee on Regional Electric Power Cooperation. March 25, 2004 San Francisco, California PDF icon Western Resource Adequacy: Challenges - Approaches - Metrics More Documents & Publications Eastern Wind Integration and Transmission Study (EWITS) (Revised) Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations Congestion Analysis of the Eastern Interconnection: Simulation Results

  15. Widget:CrazyEggMetrics | Open Energy Information

    Open Energy Info (EERE)

    CrazyEggMetrics Jump to: navigation, search This widget runs javascript code for the Crazy Egg user experience metrics. This should not be on all pages, but on select pages...

  16. Non-minimal derivative couplings of the composite metric (Journal...

    Office of Scientific and Technical Information (OSTI)

    Non-minimal derivative couplings of the composite metric Citation Details In-Document Search Title: Non-minimal derivative couplings of the composite metric In the context of ...

  17. On the determination of reference levels for quality assurance of flattening filter free photon beams in radiation therapy

    SciTech Connect (OSTI)

    Clivio, Alessandro; Belosi, Maria Francesca; Cozzi, Luca; Nicolini, Giorgia; Vanetti, Eugenio; Fogliata, Antonella; Bolard, Grgory; Fenoglietto, Pascal; Krauss, Harald

    2014-02-15

    Purpose: New definitions for some dosimetric parameters for use in quality assurance of flattening filter free (FFF) beams generated by medical linear accelerators have been suggested. The present study aims to validate these suggestions and to propose possible reference levels. Methods: The main characteristics of FFF photon beams were described in terms of: field size, penumbra, unflatness, slope, and peak-position parameters. Data were collected for 6 and 10 MV-FFF beams from three different Varian TrueBeam Linacs. Measurements were performed with a 2D-array (Starcheck system from PTW-Freiburg) and with the portal dosimetry method GLAaS utilizing the build-in portal imager of TrueBeam. Data were also compared to ion chamber measurements. A cross check validation has been performed on a FFF beam of 6 MV generated by a Varian Clinac-iX upgraded to FFF capability. Results : All the parameters suggested to characterize the FFF beams resulted easily measurable and little variation was observed among different Linacs. Referring to two reference field sizes of 10 10 and 20 20 cm{sup 2}, at SDD = 100 cm and d = dmax, from the portal dosimetry data, the following results (averaging X and Y profiles) were obtained. Field size: 9.95 0.02 and 19.98 0.03 cm for 6 MV-FFF (9.94 0.02 and 19.98 0.03 cm for 10 MV-FFF). Penumbra: 2.7 0.3 and 2.9 0.3 mm for 6 MV-FFF (3.1 0.2 and 3.3 0.3 for 10 MV-FFF). Unflatness: 1.11 0.01 and 1.25 0.01 for 6 MV-FFF (1.21 0.01 and 1.50 0.01 for 10 MV-FFF). Slope: 0.320 0.020%/mm and 0.43 0.015%/mm for 6 MV-FFF (0.657 0.023%/mm and 0.795 0.017%/mm for 10 MV-FFF). Peak Position ?0.2 0.2 and ?0.4 0.2 mm for 6 MV-FFF (?0.3 0.2 and 0.7 0.3 mm for 10 MV-FFF). Results would depend upon measurement depth. With thresholds set to at least 95% confidence level from the measured data and to account for possible variations between detectors and methods and experimental settings, a tolerance set of: 1 mm for field size and penumbra, 0.04 for unflatness, 0.1%/mm for slope, and 1 mm for peak position could be proposed from our data. Conclusions : The parameters proposed for the characterization and routine control of stability of profiles of FFF beams appear to be a viable solution with a strong similarity to the conventional parameters used for flattened beams. The results from three different TrueBeams and the cross-validation against a Clinac-iX suggested the possible generalization of the methods and the possibility to use common tolerances for the parameters. The data showed also the reproducibility of beam characteristics among different systems (of the same vendor) and the resulting parameter values could therefore be possibly generalized.

  18. Smart Grid Status and Metrics Report

    SciTech Connect (OSTI)

    Balducci, Patrick J.; Weimar, Mark R.; Kirkham, Harold

    2014-07-01

    To convey progress made in achieving the vision of a smart grid, this report uses a set of six characteristics derived from the National Energy Technology Laboratory Modern Grid Strategy. It measures 21 metrics to provide insight into the grid’s capacity to embody these characteristics. This report looks across a spectrum of smart grid concerns to measure the status of smart grid deployment and impacts.

  19. Performance Metrics and Budget Division (HC-51) | Department of Energy

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

    Performance Metrics and Budget Division (HC-51) Performance Metrics and Budget Division (HC-51) MISSION: The mission of the Performance Metrics and Budget Division (HC-51) is to support the effective and efficient implementation of the Department of Energy's human capital initiatives and functions through the strategic integration of corporate human capital performance metrics and the budget of the Office of the Chief Human Capital Officer (HC). FUNCTIONS: Human capital performance measurement

  20. Module 6 - Metrics, Performance Measurements and Forecasting | Department

    Energy Savers [EERE]

    of Energy 6 - Metrics, Performance Measurements and Forecasting Module 6 - Metrics, Performance Measurements and Forecasting This module focuses on the metrics and performance measurement tools used in Earned Value. This module reviews metrics such as cost and schedule variance along with cost and schedule performance indices. In addition, this module will outline forecasting tools such as estimate to complete (ETC) and estimate at completion (EAC)

  1. Financial Metrics Data Collection Protocol, Version 1.0

    SciTech Connect (OSTI)

    Fowler, Kimberly M.; Gorrissen, Willy J.; Wang, Na

    2010-04-30

    Brief description of data collection process and plan that will be used to collect financial metrics associated with sustainable design.

  2. Annex A Metrics for the Smart Grid System Report

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

    Annex A Metrics for the Smart Grid System Report A.iii Table of Contents Introduction ........................................................................................................................................... A.1 Metric #1: The Fraction of Customers and Total Load Served by Real-Time Pricing, Critical Peak Pricing, and Time-of-Use Pricing ........................................................................................ A.2 Metric #2: Real-Time System Operations Data

  3. Metrics For Comparing Plasma Mass Filters

    SciTech Connect (OSTI)

    Abraham J. Fetterman and Nathaniel J. Fisch

    2012-08-15

    High-throughput mass separation of nuclear waste may be useful for optimal storage, disposal, or environmental remediation. The most dangerous part of nuclear waste is the fission product, which produces most of the heat and medium-term radiation. Plasmas are well-suited to separating nuclear waste because they can separate many different species in a single step. A number of plasma devices have been designed for such mass separation, but there has been no standardized comparison between these devices. We define a standard metric, the separative power per unit volume, and derive it for three different plasma mass filters: the plasma centrifuge, Ohkawa filter, and the magnetic centrifugal mass filter. __________________________________________________

  4. Metrics for comparing plasma mass filters

    SciTech Connect (OSTI)

    Fetterman, Abraham J.; Fisch, Nathaniel J.

    2011-10-15

    High-throughput mass separation of nuclear waste may be useful for optimal storage, disposal, or environmental remediation. The most dangerous part of nuclear waste is the fission product, which produces most of the heat and medium-term radiation. Plasmas are well-suited to separating nuclear waste because they can separate many different species in a single step. A number of plasma devices have been designed for such mass separation, but there has been no standardized comparison between these devices. We define a standard metric, the separative power per unit volume, and derive it for three different plasma mass filters: the plasma centrifuge, Ohkawa filter, and the magnetic centrifugal mass filter.

  5. Clean Cities 2013 Annual Metrics Report

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    3 Annual Metrics Report Caley Johnson and Mark Singer National Renewable Energy Laboratory Technical Report NREL/TP-5400-62838 October 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No. DE-AC36-08GO28308 National Renewable Energy Laboratory 15013

  6. Clean Cities 2014 Annual Metrics Report

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    4 Annual Metrics Report Caley Johnson and Mark Singer National Renewable Energy Laboratory Technical Report NREL/TP-5400-65265 December 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No. DE-AC36-08GO28308 National Renewable Energy Laboratory 15013

  7. Defining a Standard Metric for Electricity Savings

    SciTech Connect (OSTI)

    Brown, Marilyn; Akbari, Hashem; Blumstein, Carl; Koomey, Jonathan; Brown, Richard; Calwell, Chris; Carter, Sheryl; Cavanagh, Ralph; Chang, Audrey; Claridge, David; Craig, Paul; Diamond, Rick; Eto, Joseph H.; Fulkerson, William; Gadgil, Ashok; Geller, Howard; Goldemberg, Jose; Goldman, Chuck; Goldstein, David B.; Greenberg, Steve; Hafemeister, David; Harris, Jeff; Harvey, Hal; Heitz, Eric; Hirst, Eric; Hummel, Holmes; Kammen, Dan; Kelly, Henry; Laitner, Skip; Levine, Mark; Lovins, Amory; Masters, Gil; McMahon, James E.; Meier, Alan; Messenger, Michael; Millhone, John; Mills, Evan; Nadel, Steve; Nordman, Bruce; Price, Lynn; Romm, Joe; Ross, Marc; Rufo, Michael; Sathaye, Jayant; Schipper, Lee; Schneider, Stephen H; Sweeney, James L; Verdict, Malcolm; Vorsatz, Diana; Wang, Devra; Weinberg, Carl; Wilk, Richard; Wilson, John; Worrell, Ernst

    2009-03-01

    The growing investment by governments and electric utilities in energy efficiency programs highlights the need for simple tools to help assess and explain the size of the potential resource. One technique that is commonly used in this effort is to characterize electricity savings in terms of avoided power plants, because it is easier for people to visualize a power plant than it is to understand an abstraction such as billions of kilowatt-hours. Unfortunately, there is no standardization around the characteristics of such power plants. In this letter we define parameters for a standard avoided power plant that have physical meaning and intuitive plausibility, for use in back-of-the-envelope calculations. For the prototypical plant this article settles on a 500 MW existing coal plant operating at a 70percent capacity factor with 7percent T&D losses. Displacing such a plant for one year would save 3 billion kW h per year at the meter and reduce emissions by 3 million metric tons of CO2 per year. The proposed name for this metric is the Rosenfeld, in keeping with the tradition among scientists of naming units in honor of the person most responsible for the discovery and widespread adoption of the underlying scientific principle in question--Dr. Arthur H. Rosenfeld.

  8. Development and evaluation of aperture-based complexity metrics using film and EPID measurements of static MLC openings

    SciTech Connect (OSTI)

    Götstedt, Julia; Karlsson Hauer, Anna; Bäck, Anna

    2015-07-15

    Purpose: Complexity metrics have been suggested as a complement to measurement-based quality assurance for intensity modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT). However, these metrics have not yet been sufficiently validated. This study develops and evaluates new aperture-based complexity metrics in the context of static multileaf collimator (MLC) openings and compares them to previously published metrics. Methods: This study develops the converted aperture metric and the edge area metric. The converted aperture metric is based on small and irregular parts within the MLC opening that are quantified as measured distances between MLC leaves. The edge area metric is based on the relative size of the region around the edges defined by the MLC. Another metric suggested in this study is the circumference/area ratio. Earlier defined aperture-based complexity metrics—the modulation complexity score, the edge metric, the ratio monitor units (MU)/Gy, the aperture area, and the aperture irregularity—are compared to the newly proposed metrics. A set of small and irregular static MLC openings are created which simulate individual IMRT/VMAT control points of various complexities. These are measured with both an amorphous silicon electronic portal imaging device and EBT3 film. The differences between calculated and measured dose distributions are evaluated using a pixel-by-pixel comparison with two global dose difference criteria of 3% and 5%. The extent of the dose differences, expressed in terms of pass rate, is used as a measure of the complexity of the MLC openings and used for the evaluation of the metrics compared in this study. The different complexity scores are calculated for each created static MLC opening. The correlation between the calculated complexity scores and the extent of the dose differences (pass rate) are analyzed in scatter plots and using Pearson’s r-values. Results: The complexity scores calculated by the edge area metric, converted aperture metric, circumference/area ratio, edge metric, and MU/Gy ratio show good linear correlation to the complexity of the MLC openings, expressed as the 5% dose difference pass rate, with Pearson’s r-values of −0.94, −0.88, −0.84, −0.89, and −0.82, respectively. The overall trends for the 3% and 5% dose difference evaluations are similar. Conclusions: New complexity metrics are developed. The calculated scores correlate to the complexity of the created static MLC openings. The complexity of the MLC opening is dependent on the penumbra region relative to the area of the opening. The aperture-based complexity metrics that combined either the distances between the MLC leaves or the MLC opening circumference with the aperture area show the best correlation with the complexity of the static MLC openings.

  9. Toward a new metric for ranking high performance computing systems.

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Toward a new metric for ranking high performance computing systems. Citation Details In-Document Search Title: Toward a new metric for ranking high performance computing systems. The High Performance Linpack (HPL), or Top 500, benchmark [1] is the most widely recognized and discussed metric for ranking high performance computing systems. However, HPL is increasingly unreliable as a true measure of system performance for a growing collection of important

  10. Metrics for Measuring Progress Toward Implementation of the Smart Grid

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

    (June 2008) | Department of Energy Metrics for Measuring Progress Toward Implementation of the Smart Grid (June 2008) Metrics for Measuring Progress Toward Implementation of the Smart Grid (June 2008) Results of the breakout session discussions at the Smart Grid Implementation Workshop, June 19-20, 2008 PDF icon Metrics for Measuring Progress Toward Implementation of the Smart Grid More Documents & Publications 5th Annual CHP Roadmap Workshop Breakout Group Results, September 2004

  11. Technical Workshop: Resilience Metrics for Energy Transmission and

    Energy Savers [EERE]

    Distribution Infrastructure | Department of Energy Technical Workshop: Resilience Metrics for Energy Transmission and Distribution Infrastructure Technical Workshop: Resilience Metrics for Energy Transmission and Distribution Infrastructure During this workshop, EPSA invited technical experts from industry, national laboratories, academia, and NGOs to discuss the state of play of and need for resilience metrics and how they vary by natural gas, liquid fuels and electric grid infrastructures.

  12. Integration of the EM Corporate QA Performance Metrics With Performance

    Energy Savers [EERE]

    Analysis Process | Department of Energy the EM Corporate QA Performance Metrics With Performance Analysis Process Integration of the EM Corporate QA Performance Metrics With Performance Analysis Process August 2009 Presenter: Robert Hinds, Savannah River Remediation, LLC Track 9-12 Topics Covered: Implementing CPMS for QA Corporate QA Performance Metrics Contractor Performance Analysis Contractor Assessment Programs Assessment Program Structure CPMS Integration with P/A Process Validating

  13. Clean Cities 2013 Annual Metrics Report

    SciTech Connect (OSTI)

    Johnson, C.; Singer, M.

    2014-10-01

    Each year, the U.S. Department of Energy asks its Clean Cities program coordinators to submit annual reports of their activities and accomplishments for the previous calendar year. Data and information are submitted via an online database that is maintained as part of the Alternative Fuels Data Center (AFDC) at the National Renewable Energy Laboratory (NREL). Coordinators submit a range of data that characterize the membership, funding, projects, and activities of their coalitions. They also submit data about sales of alternative fuels, deployment of alternative fuel vehicles (AFVs) and hybrid electric vehicles (HEVs), idle-reduction (IR) initiatives, fuel economy activities, and programs to reduce vehicle miles traveled (VMT). NREL analyzes the data and translates them into petroleum-use reduction impacts, which are summarized in this 2013 Annual Metrics Report.

  14. Clean Cities 2014 Annual Metrics Report

    SciTech Connect (OSTI)

    Johnson, Caley; Singer, Mark

    2015-12-22

    Each year, the U.S. Department of Energy asks its Clean Cities program coordinators to submit annual reports of their activities and accomplishments for the previous calendar year. Data and information are submitted via an online database that is maintained as part of the Alternative Fuels Data Center (AFDC) at the National Renewable Energy Laboratory (NREL). Coordinators submit a range of data that characterize the membership, funding, projects, and activities of their coalitions. They also submit data about sales of alternative fuels, deployment of alternative fuel vehicles (AFVs) and hybrid electric vehicles (HEVs), idle-reduction (IR) initiatives, fuel economy activities, and programs to reduce vehicle miles traveled (VMT). NREL analyzes the data and translates them into petroleum-use reduction impacts, which are summarized in this 2014 Annual Metrics Report.

  15. Wave Energy Converter System Requirements and Performance Metrics

    Broader source: Energy.gov [DOE]

    The Energy Department and Wave Energy Scotland are holding a joint workshop on wave energy converter (WEC) system requirements and performance metrics on Friday, February 26.

  16. Exploration Cost and Time Metric | Open Energy Information

    Open Energy Info (EERE)

    lt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":"" Hide Map Language: English Exploration Cost and Time Metric Screenshot References: Conference Paper1...

  17. Metrics for Evaluating Conventional and Renewable Energy Technologies (Presentation)

    SciTech Connect (OSTI)

    Mann, M. K.

    2013-01-01

    With numerous options for the future of natural gas, how do we know we're going down the right path? How do we designate a metric to measure and demonstrate change and progress, and how does that metric incorporate all stakeholders and scenarios?

  18. Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions

    SciTech Connect (OSTI)

    Mathew, Paul; Ganguly, Srirupa; Greenberg, Steve; Sartor, Dale

    2009-07-13

    This guide describes energy efficiency metrics and benchmarks that can be used to track the performance of and identify potential opportunities to reduce energy use in data centers. This guide is primarily intended for personnel who have responsibility for managing energy use in existing data centers - including facilities managers, energy managers, and their engineering consultants. Additionally, data center designers may also use the metrics and benchmarks described in this guide for goal-setting in new construction or major renovation. This guide provides the following information: (1) A step-by-step outline of the benchmarking process. (2) A set of performance metrics for the whole building as well as individual systems. For each metric, the guide provides a definition, performance benchmarks, and potential actions that can be inferred from evaluating this metric. (3) A list and descriptions of the data required for computing the metrics. This guide is complemented by spreadsheet templates for data collection and for computing the benchmarking metrics. This guide builds on prior data center benchmarking studies supported by the California Energy Commission. Much of the benchmarking data are drawn from the LBNL data center benchmarking database that was developed from these studies. Additional benchmark data were obtained from engineering experts including facility designers and energy managers. This guide also builds on recent research supported by the U.S. Department of Energy's Save Energy Now program.

  19. Self-benchmarking Guide for Cleanrooms: Metrics, Benchmarks, Actions

    SciTech Connect (OSTI)

    Mathew, Paul; Sartor, Dale; Tschudi, William

    2009-07-13

    This guide describes energy efficiency metrics and benchmarks that can be used to track the performance of and identify potential opportunities to reduce energy use in laboratory buildings. This guide is primarily intended for personnel who have responsibility for managing energy use in existing laboratory facilities - including facilities managers, energy managers, and their engineering consultants. Additionally, laboratory planners and designers may also use the metrics and benchmarks described in this guide for goal-setting in new construction or major renovation. This guide provides the following information: (1) A step-by-step outline of the benchmarking process. (2) A set of performance metrics for the whole building as well as individual systems. For each metric, the guide provides a definition, performance benchmarks, and potential actions that can be inferred from evaluating this metric. (3) A list and descriptions of the data required for computing the metrics. This guide is complemented by spreadsheet templates for data collection and for computing the benchmarking metrics. This guide builds on prior research supported by the national Laboratories for the 21st Century (Labs21) program, supported by the U.S. Department of Energy and the U.S. Environmental Protection Agency. Much of the benchmarking data are drawn from the Labs21 benchmarking database and technical guides. Additional benchmark data were obtained from engineering experts including laboratory designers and energy managers.

  20. Self-benchmarking Guide for Laboratory Buildings: Metrics, Benchmarks, Actions

    SciTech Connect (OSTI)

    Mathew, Paul; Greenberg, Steve; Sartor, Dale

    2009-07-13

    This guide describes energy efficiency metrics and benchmarks that can be used to track the performance of and identify potential opportunities to reduce energy use in laboratory buildings. This guide is primarily intended for personnel who have responsibility for managing energy use in existing laboratory facilities - including facilities managers, energy managers, and their engineering consultants. Additionally, laboratory planners and designers may also use the metrics and benchmarks described in this guide for goal-setting in new construction or major renovation. This guide provides the following information: (1) A step-by-step outline of the benchmarking process. (2) A set of performance metrics for the whole building as well as individual systems. For each metric, the guide provides a definition, performance benchmarks, and potential actions that can be inferred from evaluating this metric. (3) A list and descriptions of the data required for computing the metrics. This guide is complemented by spreadsheet templates for data collection and for computing the benchmarking metrics. This guide builds on prior research supported by the national Laboratories for the 21st Century (Labs21) program, supported by the U.S. Department of Energy and the U.S. Environmental Protection Agency. Much of the benchmarking data are drawn from the Labs21 benchmarking database and technical guides. Additional benchmark data were obtained from engineering experts including laboratory designers and energy managers.

  1. Microsoft Word - QER Resilience Metrics - Technical Workshp Agenda_Final

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

    Quadrennial Energy Review Technical Workshop on Resilience Metrics for Energy Transmission and Distribution Infrastructure April, 29th, 2014 777 North Capitol St NE Ste 300, Washington, DC Contents Purpose .......................................................................................................................... 1 Background ................................................................................................................... 1 Technical Workshop Process

  2. A Graph Analytic Metric for Mitigating Advanced Persistent Threat

    SciTech Connect (OSTI)

    Johnson, John R.; Hogan, Emilie A.

    2013-06-04

    This paper introduces a novel graph analytic metric that can be used to measure the potential vulnerability of a cyber network to specific types of attacks that use lateral movement and privilege escalation such as the well known Pass The Hash, (PTH). The metric is computed from an oriented subgraph of the underlying cyber network induced by selecting only those edges for which a given property holds between the two vertices of the edge. The metric with respect to a select node on the subgraph is defined as the likelihood that the select node is reachable from another arbitrary node in the graph. This metric can be calculated dynamically from the authorization and auditing layers during the network security authorization phase and will potentially enable predictive deterrence against attacks such as PTH.

  3. DOE Announces Webinars on Solar Forecasting Metrics, the DOE...

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

    The Energy Department will present a live webinar titled "Solar Forecasting Metrics" on Thursday, February 13, from 3:00 p.m. to 5:00 p.m. Eastern Standard Time. During this ...

  4. Microsoft Word - followup to Fin Risk Metrics workshop.doc

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

    March 21, 2008 PurposeSubject: Follow-up to Financial Risk Metrics Workshop Page 1 of 1 Differences in Cash Flow between Net Billing and Direct Pay for Energy Northwest Attached...

  5. New IEC Specifications Help Define Wind Plant Performance Reporting Metrics

    Energy Savers [EERE]

    | Department of Energy IEC Specifications Help Define Wind Plant Performance Reporting Metrics New IEC Specifications Help Define Wind Plant Performance Reporting Metrics January 6, 2014 - 10:00am Addthis This is an excerpt from the Fourth Quarter 2013 edition of the Wind Program R&D Newsletter. The U.S. Department of Energy Wind Program and Sandia National Laboratories have been working with the International Electrotechnical Commission (IEC) Committee on wind turbine availability to

  6. Conceptual Framework for Developing Resilience Metrics for the Electricity,

    Office of Environmental Management (EM)

    Oil, and Gas Sectors in the United States | Department of Energy Conceptual Framework for Developing Resilience Metrics for the Electricity, Oil, and Gas Sectors in the United States Conceptual Framework for Developing Resilience Metrics for the Electricity, Oil, and Gas Sectors in the United States This study assessed five potential methane reduction scenarios from natural gas transmission, storage, and distribution (TS&D) infrastructure using published literature on the costs and the

  7. Weatherization Assistance Program Goals and Metrics | Department of Energy

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

    Goals and Metrics Weatherization Assistance Program Goals and Metrics UT - Bettelle - Oak Ridge National Laboratory Logo The U.S. Department of Energy (DOE) Weatherization Assistance Program (WAP) regularly reviews the work of states and grant recipients for effectiveness and for meeting program goals. DOE's Oak Ridge National Laboratory provides technical support to the program and conducts the evaluations. Goals The overall goal of WAP is to reduce the burden of energy prices on the

  8. Measures of agreement between computation and experiment:validation metrics.

    SciTech Connect (OSTI)

    Barone, Matthew Franklin; Oberkampf, William Louis

    2005-08-01

    With the increasing role of computational modeling in engineering design, performance estimation, and safety assessment, improved methods are needed for comparing computational results and experimental measurements. Traditional methods of graphically comparing computational and experimental results, though valuable, are essentially qualitative. Computable measures are needed that can quantitatively compare computational and experimental results over a range of input, or control, variables and sharpen assessment of computational accuracy. This type of measure has been recently referred to as a validation metric. We discuss various features that we believe should be incorporated in a validation metric and also features that should be excluded. We develop a new validation metric that is based on the statistical concept of confidence intervals. Using this fundamental concept, we construct two specific metrics: one that requires interpolation of experimental data and one that requires regression (curve fitting) of experimental data. We apply the metrics to three example problems: thermal decomposition of a polyurethane foam, a turbulent buoyant plume of helium, and compressibility effects on the growth rate of a turbulent free-shear layer. We discuss how the present metrics are easily interpretable for assessing computational model accuracy, as well as the impact of experimental measurement uncertainty on the accuracy assessment.

  9. Non-minimal derivative couplings of the composite metric

    SciTech Connect (OSTI)

    Heisenberg, Lavinia

    2015-11-04

    In the context of massive gravity, bi-gravity and multi-gravity non-minimal matter couplings via a specific composite effective metric were investigated recently. Even if these couplings generically reintroduce the Boulware-Deser ghost, this composite metric is unique in the sense that the ghost reemerges only beyond the decoupling limit and the matter quantum loop corrections do not detune the potential interactions. We consider non-minimal derivative couplings of the composite metric to matter fields for a specific subclass of Horndeski scalar-tensor interactions. We first explore these couplings in the mini-superspace and investigate in which scenario the ghost remains absent. We further study these non-minimal derivative couplings in the decoupling-limit of the theory and show that the equation of motion for the helicity-0 mode remains second order in derivatives. Finally, we discuss preliminary implications for cosmology.

  10. Primer Control System Cyber Security Framework and Technical Metrics

    SciTech Connect (OSTI)

    Wayne F. Boyer; Miles A. McQueen

    2008-05-01

    The Department of Homeland Security National Cyber Security Division supported development of a control system cyber security framework and a set of technical metrics to aid owner-operators in tracking control systems security. The framework defines seven relevant cyber security dimensions and provides the foundation for thinking about control system security. Based on the developed security framework, a set of ten technical metrics are recommended that allow control systems owner-operators to track improvements or degradations in their individual control systems security posture.

  11. Calabi-Yau metrics for quotients and complete intersections

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

    Braun, Volker; Brelidze, Tamaz; Douglas, Michael R.; Ovrut, Burt A.

    2008-05-22

    We extend previous computations of Calabi-Yau metrics on projective hypersurfaces to free quotients, complete intersections, and free quotients of complete intersections. In particular, we construct these metrics on generic quintics, four-generation quotients of the quintic, Schoen Calabi-Yau complete intersections and the quotient of a Schoen manifold with Z₃ x Z₃ fundamental group that was previously used to construct a heterotic standard model. Various numerical investigations into the dependence of Donaldson's algorithm on the integration scheme, as well as on the Kähler and complex structure moduli, are also performed.

  12. Energy Department Sponsored Project Captures One Millionth Metric Ton of

    Office of Environmental Management (EM)

    CO2 | Department of Energy Sponsored Project Captures One Millionth Metric Ton of CO2 Energy Department Sponsored Project Captures One Millionth Metric Ton of CO2 June 27, 2014 - 11:09am Addthis An aerial view of Air Products’ steam methane reforming facility at Port Arthur, Texas. | Photo courtesy of Air Products and Chemicals Inc. An aerial view of Air Products' steam methane reforming facility at Port Arthur, Texas. | Photo courtesy of Air Products and Chemicals Inc. Allison Lantero

  13. Stochastic inverse problems: Models and metrics

    SciTech Connect (OSTI)

    Sabbagh, Elias H.; Sabbagh, Harold A.; Murphy, R. Kim; Aldrin, John C.; Annis, Charles; Knopp, Jeremy S.

    2015-03-31

    In past work, we introduced model-based inverse methods, and applied them to problems in which the anomaly could be reasonably modeled by simple canonical shapes, such as rectangular solids. In these cases the parameters to be inverted would be length, width and height, as well as the occasional probe lift-off or rotation. We are now developing a formulation that allows more flexibility in modeling complex flaws. The idea consists of expanding the flaw in a sequence of basis functions, and then solving for the expansion coefficients of this sequence, which are modeled as independent random variables, uniformly distributed over their range of values. There are a number of applications of such modeling: 1. Connected cracks and multiple half-moons, which we have noted in a POD set. Ideally we would like to distinguish connected cracks from one long shallow crack. 2. Cracks of irregular profile and shape which have appeared in cold work holes during bolt-hole eddy-current inspection. One side of such cracks is much deeper than other. 3. L or C shaped crack profiles at the surface, examples of which have been seen in bolt-hole cracks. By formulating problems in a stochastic sense, we are able to leverage the stochastic global optimization algorithms in NLSE, which is resident in VIC-3D, to answer questions of global minimization and to compute confidence bounds using the sensitivity coefficient that we get from NLSE. We will also address the issue of surrogate functions which are used during the inversion process, and how they contribute to the quality of the estimation of the bounds.

  14. SU-E-T-359: Measurement of Various Metrics to Determine Changes in Megavoltage Photon Beam Energy

    SciTech Connect (OSTI)

    Gao, S; Balter, P; Rose, M; Simon, W

    2014-06-01

    Purpose: To examine the relationship between photon beam energy and various metrics for energy on the flattened and flattening filter free (FFF) beams generated by the Varian TrueBeam. Methods: Energy changes were accomplished by adjusting the bending magnet current 10% from the nominal value for the 4, 6, 8, and 10 MV flattened and 6 and 10 MV FFF beams. Profiles were measured for a 3030 cm{sup 2} field using a 2D ionization chamber array and a 3D water Scanner which was also used to measure PDDs. For flattened beams we compared several energy metrics; PDD at 10 cm depth in water (PDD(10)); the variation over the central 80% of the field (Flat); and the average of the highest reading along each diagonal divided by the CAX value, diagonal normalized flatness (FDN). For FFF beams we examined PDD(10), FDN, and the width of a chosen isodose level in a 3030 cm{sup 2} field (W(d%)). Results: Changes in PDD(10) were nearly linear with changes in energy for both flattened and FFF beams as were changes in FDN. Changes in W(d%) were also nearly linear with energy for the FFF beams. PDD(10) was not as sensitive to changes in energy compared to the other metrics for either flattened or FFF beams. Flat was not as sensitive to changes in energy compared to FDN for flattened beams and its behavior depends on depth. FDN was the metric that had the highest sensitivity to the changes in energy for flattened beams while W(d%) was the metric that had highest sensitivity to the changes in energy for FFF beams. Conclusions: The metric FDN was found to be most sensitive to energy changes for flattened beams, while the W(d%) was most sensitive to energy changes for FFF beams.

  15. Comparing Resource Adequacy Metrics and Their Influence on Capacity Value: Preprint

    SciTech Connect (OSTI)

    Ibanez, E.; Milligan, M.

    2014-04-01

    Traditional probabilistic methods have been used to evaluate resource adequacy. The increasing presence of variable renewable generation in power systems presents a challenge to these methods because, unlike thermal units, variable renewable generation levels change over time because they are driven by meteorological events. Thus, capacity value calculations for these resources are often performed to simple rules of thumb. This paper follows the recommendations of the North American Electric Reliability Corporation?s Integration of Variable Generation Task Force to include variable generation in the calculation of resource adequacy and compares different reliability metrics. Examples are provided using the Western Interconnection footprint under different variable generation penetrations.

  16. EERE Portfolio. Primary Benefits Metrics for FY09

    SciTech Connect (OSTI)

    none,

    2011-11-01

    This collection of data tables shows the benefits metrics related to energy security, environmental impacts, and economic impacts for both the entire EERE portfolio of renewable energy technologies as well as the individual technologies. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

  17. Methodology, Methods, and Metrics for Testing and Evaluating Augmented Cognition Systems

    SciTech Connect (OSTI)

    Greitzer, Frank L.

    2008-09-15

    The augmented cognition research community seeks cognitive neuroscience-based solutions to improve warfighter performance by applying and managing mitigation strategies to reduce workload and improve the throughput and quality of decisions. The focus of augmented cognition mitigation research is to define, demonstrate, and exploit neuroscience and behavioral measures that support inferences about the warfighters cognitive state that prescribe the nature and timing of mitigation. A research challenge is to develop valid evaluation methodologies, metrics and measures to assess the impact of augmented cognition mitigations. Two considerations are external validity, which is the extent to which the results apply to operational contexts; and internal validity, which reflects the reliability of performance measures and the conclusions based on analysis of results. The scientific rigor of the research methodology employed in conducting empirical investigations largely affects the validity of the findings. External validity requirements also compel us to demonstrate operational significance of mitigations. Thus it is important to demonstrate effectiveness of mitigations under specific conditions. This chapter reviews some cognitive science and methodological considerations in designing augmented cognition research studies and associated human performance metrics and analysis methods to assess the impact of augmented cognition mitigations.

  18. DOE Will Dispose of 34 Metric Tons of Plutonium by Turning it...

    National Nuclear Security Administration (NNSA)

    Apply for Our Jobs Our Jobs Working at NNSA Blog Home About Us Our History NNSA Timeline DOE Will Dispose of 34 Metric Tons ... DOE Will Dispose of 34 Metric Tons of ...

  19. Modified Anti-de-Sitter Metric, Light-Front Quantized QCD, and...

    Office of Scientific and Technical Information (OSTI)

    Modified Anti-de-Sitter Metric, Light-Front Quantized QCD, and Conformal Quantum Mechanics Citation Details In-Document Search Title: Modified Anti-de-Sitter Metric, Light-Front...

  20. DOE to Remove 200 Metric Tons of Highly Enriched Uranium from...

    Energy Savers [EERE]

    to Remove 200 Metric Tons of Highly Enriched Uranium from U.S. Nuclear Weapons Stockpile DOE to Remove 200 Metric Tons of Highly Enriched Uranium from U.S. Nuclear Weapons ...

  1. On the existence of certain axisymmetric interior metrics

    SciTech Connect (OSTI)

    Angulo Santacruz, C.; Batic, D.; Nowakowski, M.

    2010-08-15

    One of the effects of noncommutative coordinate operators is that the delta function connected to the quantum mechanical amplitude between states sharp to the position operator gets smeared by a Gaussian distribution. Although this is not the full account of the effects of noncommutativity, this effect is, in particular, important as it removes the point singularities of Schwarzschild and Reissner-Nordstroem solutions. In this context, it seems to be of some importance to probe also into ringlike singularities which appear in the Kerr case. In particular, starting with an anisotropic energy-momentum tensor and a general axisymmetric ansatz of the metric together with an arbitrary mass distribution (e.g., Gaussian), we derive the full set of Einstein equations that the noncommutative geometry inspired Kerr solution should satisfy. Using these equations we prove two theorems regarding the existence of certain Kerr metrics inspired by noncommutative geometry.

  2. Optimal recovery of linear operators in non-Euclidean metrics

    SciTech Connect (OSTI)

    Osipenko, K Yu

    2014-10-31

    The paper looks at problems concerning the recovery of operators from noisy information in non-Euclidean metrics. Anumber of general theorems are proved and applied to recovery problems for functions and their derivatives from the noisy Fourier transform. In some cases, afamily of optimal methods is found, from which the methods requiring the least amount of original information are singled out. Bibliography: 25 titles.

  3. Microsoft Word - DOE_ANNUAL_METRICS_2009Q3.docx

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

    14404 Third Quarter 2009 Modeling Program Metric: Coupled model comparison with observations using improved dynamics at coarse resolution Quantifying the impact of a finite volume dynamical core in CCSM3 on simulated precipitation over major catchment areas July 2009 Peter J. Gleckler and Karl E. Taylor Lawrence Livermore National Laboratory Livermore, CA Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research 
 2
 Disclaimer This

  4. FY 2010 Overall Contract and Project Management Improvement Performance Metrics and Targets

    Broader source: Energy.gov [DOE]

    Overall Contract and Project Management Performance Metrics and Targets for FY 2010, first quarter through fourth quarter.

  5. FY 2009 Overall Contract and Project Management Improvement Performance Metrics and Targets

    Broader source: Energy.gov [DOE]

    Overall Contract and Project Management Performance Metrics and Targets for FY 2009, first quarter through fourth quarter.

  6. FY 2012 Overall Contract and Project Management Improvement Performance Metrics and Targets

    Broader source: Energy.gov [DOE]

    Overall Contract and Project Management Performance Metrics and Targets for FY 2012, first quarter through fourth quarter.

  7. FY 2011 Overall Contract and Project Management Improvement Performance Metrics and Targets

    Broader source: Energy.gov [DOE]

    Overall Contract and Project Management Performance Metrics and Targets for FY 2011, first quarter through fourth quarter.

  8. Office of HC Strategy Budget and Performance Metrics (HC-50) | Department

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

    of Energy Strategy Budget and Performance Metrics (HC-50) Office of HC Strategy Budget and Performance Metrics (HC-50) Mission Statement and Function Statement The Office of Human Capital Strategy, Budget, and Performance Metrics provides strategic direction and advice to its stakeholders through the integration of budget analysis, workforce projections, and performance metrics in support of the goals and missions of the Department of Energy. Functions: Promotes business partnerships with

  9. Guidebook for ARRA Smart Grid Program Metrics and Benefits | Department of

    Office of Environmental Management (EM)

    Energy Guidebook for ARRA Smart Grid Program Metrics and Benefits Guidebook for ARRA Smart Grid Program Metrics and Benefits The Guidebook for American Recovery and Reinvestment Act (ARRA) Smart Grid Program Metrics and Benefits describes the type of information to be collected from each of the Project Teams and how it will be used by the Department of Energy to communicate overall conclusions to the public. PDF icon Guidebook for ARRA Smart Grid Program Metrics and Benefits More Documents

  10. Method and system for assigning a confidence metric for automated determination of optic disc location

    DOE Patents [OSTI]

    Karnowski, Thomas P. (Knoxville, TN); Tobin, Jr., Kenneth W. (Harriman, TN); Muthusamy Govindasamy, Vijaya Priya (Knoxville, TN); Chaum, Edward (Memphis, TN)

    2012-07-10

    A method for assigning a confidence metric for automated determination of optic disc location that includes analyzing a retinal image and determining at least two sets of coordinates locating an optic disc in the retinal image. The sets of coordinates can be determined using first and second image analysis techniques that are different from one another. An accuracy parameter can be calculated and compared to a primary risk cut-off value. A high confidence level can be assigned to the retinal image if the accuracy parameter is less than the primary risk cut-off value and a low confidence level can be assigned to the retinal image if the accuracy parameter is greater than the primary risk cut-off value. The primary risk cut-off value being selected to represent an acceptable risk of misdiagnosis of a disease having retinal manifestations by the automated technique.

  11. Assessing the Effects of Data Compression in Simulations Using Physically Motivated Metrics

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

    Laney, Daniel; Langer, Steven; Weber, Christopher; Lindstrom, Peter; Wegener, Al

    2014-01-01

    This paper examines whether lossy compression can be used effectively in physics simulations as a possible strategy to combat the expected data-movement bottleneck in future high performance computing architectures. We show that, for the codes and simulations we tested, compression levels of 3–5X can be applied without causing significant changes to important physical quantities. Rather than applying signal processing error metrics, we utilize physics-based metrics appropriate for each code to assess the impact of compression. We evaluate three different simulation codes: a Lagrangian shock-hydrodynamics code, an Eulerian higher-order hydrodynamics turbulence modeling code, and an Eulerian coupled laser-plasma interaction code. Wemore » compress relevant quantities after each time-step to approximate the effects of tightly coupled compression and study the compression rates to estimate memory and disk-bandwidth reduction. We find that the error characteristics of compression algorithms must be carefully considered in the context of the underlying physics being modeled.« less

  12. Water Quality

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

    Water Quality Water Quality We protect water quality through stormwater control measures and an extensive network of monitoring wells and stations encompassing groundwater, surface...

  13. Career Map: Quality Engineer | Department of Energy

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

    Quality Engineer Career Map: Quality Engineer A male quality engineer sits at a desk with several computers showing data. Quality Engineer Position Title Quality Engineer Alternate Title(s) Quality Assurance, Quality Control Education & Training Level Advanced, Bachelors required, prefer graduate degree or equivalent experience Education & Training Level Description Quality engineers need a bachelor's degree in an engineering field, plus experience. Professional certifications may be

  14. Metrics for the National SCADA Test Bed Program

    SciTech Connect (OSTI)

    Craig, Philip A.; Mortensen, J.; Dagle, Jeffery E.

    2008-12-05

    The U.S. Department of Energy Office of Electricity Delivery and Energy Reliability (DOE-OE) National SCADA Test Bed (NSTB) Program is providing valuable inputs into the electric industry by performing topical research and development (R&D) to secure next generation and legacy control systems. In addition, the program conducts vulnerability and risk analysis, develops tools, and performs industry liaison, outreach and awareness activities. These activities will enhance the secure and reliable delivery of energy for the United States. This report will describe metrics that could be utilized to provide feedback to help enhance the effectiveness of the NSTB Program.

  15. User's Guide to the Energy Charting and Metrics Tool (ECAM)

    SciTech Connect (OSTI)

    Taasevigen, Danny J.; Koran, William

    2012-02-28

    The intent of this user guide is to provide a brief description of the functionality of the Energy Charting and Metrics (ECAM) tool, including the expanded building re-tuning functionality developed for Pacific Northwest National laboratory (PNNL). This document describes the tool's general functions and features, and offers detailed instructions for PNNL building re-tuning charts, a feature in ECAM intended to help building owners and operators look at trend data (recommended 15-minute time intervals) in a series of charts (both time series and scatter) to analyze air-handler, zone, and central plant information gathered from a building automation system (BAS).

  16. Measurement Practices for Reliability and Power Quality

    SciTech Connect (OSTI)

    Kueck, JD

    2005-05-06

    This report provides a distribution reliability measurement ''toolkit'' that is intended to be an asset to regulators, utilities and power users. The metrics and standards discussed range from simple reliability, to power quality, to the new blend of reliability and power quality analysis that is now developing. This report was sponsored by the Office of Electric Transmission and Distribution, U.S. Department of Energy (DOE). Inconsistencies presently exist in commonly agreed-upon practices for measuring the reliability of the distribution systems. However, efforts are being made by a number of organizations to develop solutions. In addition, there is growing interest in methods or standards for measuring power quality, and in defining power quality levels that are acceptable to various industries or user groups. The problems and solutions vary widely among geographic areas and among large investor-owned utilities, rural cooperatives, and municipal utilities; but there is still a great degree of commonality. Industry organizations such as the National Rural Electric Cooperative Association (NRECA), the Electric Power Research Institute (EPRI), the American Public Power Association (APPA), and the Institute of Electrical and Electronics Engineers (IEEE) have made tremendous strides in preparing self-assessment templates, optimization guides, diagnostic techniques, and better definitions of reliability and power quality measures. In addition, public utility commissions have developed codes and methods for assessing performance that consider local needs. There is considerable overlap among these various organizations, and we see real opportunity and value in sharing these methods, guides, and standards in this report. This report provides a ''toolkit'' containing synopses of noteworthy reliability measurement practices. The toolkit has been developed to address the interests of three groups: electric power users, utilities, and regulators. The report will also serve to support activities to develop and share information among industry and regulatory participants about critical resources and practices. The toolkit has been developed by investigating the status of indices and definitions, surveying utility organizations on information sharing, and preparing summaries of reliability standards and monitoring requirements--the issues, needs, work under way, existing standards, practices and guidelines--for the following three classifications: (1) terms and definitions of reliability; (2) power quality standards, guidelines, and measurements; and (3) activities and organizations developing and sharing information on distribution reliability. As these synopses of reliability measurement practices are provided, it must be noted that an economic penalty may be associated with requiring too high a reliability level from the distribution system for all customers. It may be appropriate for the distribution system to supply only some base, generally accepted level of reliability. This base level would be adequate for the majority of customers. Users who need a higher level may find it economical to supply using distributed energy resources (DER) and other local solutions to reliability and power quality needs. Local solutions implemented by the customer may be the most cost-effective method for addressing the more stringent needs of a digital economy. These local solutions include energy storage, small distributed generators, and microgrids. This report also considers the market's role in addressing reliability issues and requirements. The customer's needs are discussed in view of issues such as power quality requirements of digital electronic equipment, the cost of outages, the cost of storage and new infrastructure, and natural gas prices. The market role in addressing these issues and requirements is explored. The economic considerations associated with the reliability issues are discussed, as well as the levels at which these economic decisions could be made. Finally, a discussion is provided of the role DER could play in addressing

  17. Taking the One-Metric-Ton Challenge | Y-12 National Security Complex

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

    Taking the One-Metric-Ton ... Taking the One-Metric-Ton Challenge Posted: January 13, 2016 - 4:46pm NNSA Uranium Program Manager Tim Driscoll speaks with the One-Metric-Ton Challenge team in Building 9212. The team has undertaken an extensive dedicated maintenance effort to improve metal production equipment reliability and reduce unexpected down time, with an end goal of significantly increasing purified metal production by fiscal year 2017. Last year, NNSA Uranium Program Manager Tim Driscoll

  18. U.S. Removes Nine Metric Tons of Plutonium From Nuclear Weapons Stockpile |

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

    Department of Energy Removes Nine Metric Tons of Plutonium From Nuclear Weapons Stockpile U.S. Removes Nine Metric Tons of Plutonium From Nuclear Weapons Stockpile September 17, 2007 - 2:41pm Addthis Declaration Reinforces U.S. Commitment to Nonproliferation VIENNA, AUSTRIA - Secretary of Energy Samuel W. Bodman today announced that the Department of Energy's National Nuclear Security Administration (NNSA) will remove nine metric tons of plutonium from further use as fissile material in U.S.

  19. EECBG 10-07C/SEP 10-006B Attachment 1: Process Metrics List |

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

    Department of Energy 10-07C/SEP 10-006B Attachment 1: Process Metrics List EECBG 10-07C/SEP 10-006B Attachment 1: Process Metrics List PDF icon eecbg_sep_reporting_guidance_attachment_06242011.pdf More Documents & Publications EECBG SEP Attachment 1 - Process metric list EECBG Program Notice 10-07A DOE Recovery Act Reporting Requirements for the State Energy Program

  20. EAC Presentation: Metrics and Benefits Analysis for the ARRA Smart Grid

    Office of Environmental Management (EM)

    Programs - March 10, 2011 | Department of Energy Presentation: Metrics and Benefits Analysis for the ARRA Smart Grid Programs - March 10, 2011 EAC Presentation: Metrics and Benefits Analysis for the ARRA Smart Grid Programs - March 10, 2011 PowerPoint presentation by Joe Paladino from the Office of Electricity Delivery and Energy Reliability before the Electricity Advisory Committee (EAC) on metrics and benefits analysis for the American Recovery and Reinvestment Act smart grid programs

  1. New Selection Metric for Design of Thin-Film Solar Cell Absorber...

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

    guidance for the experimental synthesis. New Selection Metric for Design of Thin-Film Solar Cell Absorber Materials Research Details * SLME account s for the physics of...

  2. Building Cost and Performance Metrics: Data Collection Protocol, Revision 1.0

    SciTech Connect (OSTI)

    Fowler, Kimberly M.; Solana, Amy E.; Spees, Kathleen L.

    2005-09-29

    This technical report describes the process for selecting and applying the building cost and performance metrics for measuring sustainably designed buildings in comparison to traditionally designed buildings.

  3. EVMS Training Snippet: 3.2 Schedule Health Metrics | Department of Energy

    Office of Environmental Management (EM)

    2 Schedule Health Metrics EVMS Training Snippet: 3.2 Schedule Health Metrics This EVMS Training Snippet sponsored by the Office of Project Management (PM) focuses on 'what' the metrics are, 'why' they are important, and what they tell us about the schedule health. This Snippet does not focus on the 'how' the metrics are calculated, other than to provide a basic understanding of what is being calculated. Link to Video Presentation | Prior Snippet (3.1B) | Next Snippet (3.3) | Return to Index PDF

  4. Variable-metric diffraction crystals for x-ray optics

    SciTech Connect (OSTI)

    Smither, R.K.; Fernandez, P.B. )

    1992-02-01

    A variable-metric (VM) crystal is one in which the spacing between the crystalline planes changes with position in the crystal. This variation can be either parallel to the crystalline planes or perpendicular to the crystalline planes of interest and can be produced by either introducing a thermal gradient in the crystal or by growing a crystal made of two or more elements and changing the relative percentages of the two elements as the crystal is grown. A series of experiments were performed in the laboratory to demonstrate the principle of the variable-metric crystal and its potential use in synchrotron beam lines. One of the most useful applications of the VM crystal is to increase the number of photons per unit bandwidth in a diffracted beam without losing any of the overall intensity. In a normal synchrotron beam line that uses a two-crystal monochromator, the bandwidth of the diffracted photon beam is determined by the vertical opening angle of the beam which is typically 0.10--0.30 mrad or 20--60 arcsec. When the VM crystal approach is applied, the bandwidth of the beam can be made as narrow as the rocking curve of the diffracting crystal, which is typically 0.005--0.050 mrad or 1--10 arcsec. Thus a very large increase of photons per unit bandwidth (or per unit energy) can be achieved through the use of VM crystals. When the VM principle is used with bent crystals, new kinds of x-ray optical elements can be generated that can focus and defocus x-ray beams much like simple lenses where the focal length of the lens can be changed to match its application. Thus both large magnifications and large demagnifications can be achieved as well as parallel beams with narrow bandwidths.

  5. Metrics for Assessment of Smart Grid Data Integrity Attacks

    SciTech Connect (OSTI)

    Annarita Giani; Miles McQueen; Russell Bent; Kameshwar Poolla; Mark Hinrichs

    2012-07-01

    There is an emerging consensus that the nation’s electricity grid is vulnerable to cyber attacks. This vulnerability arises from the increasing reliance on using remote measurements, transmitting them over legacy data networks to system operators who make critical decisions based on available data. Data integrity attacks are a class of cyber attacks that involve a compromise of information that is processed by the grid operator. This information can include meter readings of injected power at remote generators, power flows on transmission lines, and relay states. These data integrity attacks have consequences only when the system operator responds to compromised data by redispatching generation under normal or contingency protocols. These consequences include (a) financial losses from sub-optimal economic dispatch to service loads, (b) robustness/resiliency losses from placing the grid at operating points that are at greater risk from contingencies, and (c) systemic losses resulting from cascading failures induced by poor operational choices. This paper is focused on understanding the connections between grid operational procedures and cyber attacks. We first offer two examples to illustrate how data integrity attacks can cause economic and physical damage by misleading operators into taking inappropriate decisions. We then focus on unobservable data integrity attacks involving power meter data. These are coordinated attacks where the compromised data are consistent with the physics of power flow, and are therefore passed by any bad data detection algorithm. We develop metrics to assess the economic impact of these attacks under re-dispatch decisions using optimal power flow methods. These metrics can be use to prioritize the adoption of appropriate countermeasures including PMU placement, encryption, hardware upgrades, and advance attack detection algorithms.

  6. New risk metrics and mathematical tools for risk analysis: Current and future challenges

    SciTech Connect (OSTI)

    Skandamis, Panagiotis N. Andritsos, Nikolaos Psomas, Antonios Paramythiotis, Spyridon

    2015-01-22

    The current status of the food safety supply world wide, has led Food and Agriculture Organization (FAO) and World Health Organization (WHO) to establishing Risk Analysis as the single framework for building food safety control programs. A series of guidelines and reports that detail out the various steps in Risk Analysis, namely Risk Management, Risk Assessment and Risk Communication is available. The Risk Analysis approach enables integration between operational food management systems, such as Hazard Analysis Critical Control Points, public health and governmental decisions. To do that, a series of new Risk Metrics has been established as follows: i) the Appropriate Level of Protection (ALOP), which indicates the maximum numbers of illnesses in a population per annum, defined by quantitative risk assessments, and used to establish; ii) Food Safety Objective (FSO), which sets the maximum frequency and/or concentration of a hazard in a food at the time of consumption that provides or contributes to the ALOP. Given that ALOP is rather a metric of the public health tolerable burden (it addresses the total failure that may be handled at a national level), it is difficult to be interpreted into control measures applied at the manufacturing level. Thus, a series of specific objectives and criteria for performance of individual processes and products have been established, all of them assisting in the achievement of FSO and hence, ALOP. In order to achieve FSO, tools quantifying the effect of processes and intrinsic properties of foods on survival and growth of pathogens are essential. In this context, predictive microbiology and risk assessment have offered an important assistance to Food Safety Management. Predictive modelling is the basis of exposure assessment and the development of stochastic and kinetic models, which are also available in the form of Web-based applications, e.g., COMBASE and Microbial Responses Viewer), or introduced into user-friendly softwares, (e.g., Seafood Spoilage Predictor) have evolved the use of information systems in the food safety management. Such tools are updateable with new food-pathogen specific models containing cardinal parameters and multiple dependent variables, including plate counts, concentration of metabolic products, or even expression levels of certain genes. Then, these tools may further serve as decision-support tools which may assist in product logistics, based on their scientifically-based and momentary expressed spoilage and safety level.

  7. Air Quality

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

    Air Quality Air Quality Tour The Laboratory calculates the dose to the maximally exposed individual (MEI) to determine effects of Laboratory operations on the public.

  8. Air Quality

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

    Air Quality Air Quality Tour The Laboratory calculates the dose to the maximally exposed individual (MEI) to determine effects of Laboratory operations on the public. Open full...

  9. Enhanced Accident Tolerant LWR Fuels National Metrics Workshop Report

    SciTech Connect (OSTI)

    Lori Braase

    2013-01-01

    The U.S. Department of Energy Office of Nuclear Energy (DOE-NE), in collaboration with the nuclear industry, has been conducting research and development (R&D) activities on advanced Light Water Reactor (LWR) fuels for the last few years. The emphasis for these activities was on improving the fuel performance in terms of increased burnup for waste minimization and increased power density for power upgrades, as well as collaborating with industry on fuel reliability. After the events at the Fukushima Nuclear Power Plant in Japan in March 2011, enhancing the accident tolerance of LWRs became a topic of serious discussion. In the Consolidated Appropriations Act, 2012, Conference Report 112-75, the U.S. Congress directed DOE-NE to: Give priority to developing enhanced fuels and cladding for light water reactors to improve safety in the event of accidents in the reactor or spent fuel pools. Give special technical emphasis and funding priorityto activities aimed at the development and near-term qualification of meltdown-resistant, accident-tolerant nuclear fuels that would enhance the safety of present and future generations of light water reactors. Report to the Committee, within 90 days of enactment of this act, on its plan for development of meltdown-resistant fuels leading to reactor testing and utilization by 2020. Fuels with enhanced accident tolerance are those that, in comparison with the standard UO2-zirconium alloy system currently used by the nuclear industry, can tolerate loss of active cooling in the reactor core for a considerably longer time period (depending on the LWR system and accident scenario) while maintaining or improving the fuel performance during normal operations, and operational transients, as well as design-basis and beyond design-basis events. The overall draft strategy for development and demonstration is comprised of three phases: Feasibility Assessment and Down-selection; Development and Qualification; and Commercialization. The activities performed during the feasibility assessment phase include laboratory scale experiments; fuel performance code updates; and analytical assessment of economic, operational, safety, fuel cycle, and environmental impacts of the new concepts. The development and qualification stage will consist of fuel fabrication and large scale irradiation and safety basis testing, leading to qualification and ultimate NRC licensing of the new fuel. The commercialization phase initiates technology transfer to industry for implementation. Attributes for fuels with enhanced accident tolerance include improved reaction kinetics with steam and slower hydrogen generation rate, while maintaining acceptable cladding thermo-mechanical properties; fuel thermo-mechanical properties; fuel-clad interactions; and fission-product behavior. These attributes provide a qualitative guidance for parameters that must be considered in the development of fuels and cladding with enhanced accident tolerance. However, quantitative metrics must be developed for these attributes. To initiate the quantitative metrics development, a Light Water Reactor Enhanced Accident Tolerant Fuels Metrics Development Workshop was held October 10-11, 2012, in Germantown, Maryland. This document summarizes the structure and outcome of the two-day workshop. Questions regarding the content can be directed to Lori Braase, 208-526-7763, lori.braase@inl.gov.

  10. Description of the Sandia National Laboratories science, technology & engineering metrics process.

    SciTech Connect (OSTI)

    Jordan, Gretchen B.; Watkins, Randall D.; Trucano, Timothy Guy; Burns, Alan Richard; Oelschlaeger, Peter

    2010-04-01

    There has been a concerted effort since 2007 to establish a dashboard of metrics for the Science, Technology, and Engineering (ST&E) work at Sandia National Laboratories. These metrics are to provide a self assessment mechanism for the ST&E Strategic Management Unit (SMU) to complement external expert review and advice and various internal self assessment processes. The data and analysis will help ST&E Managers plan, implement, and track strategies and work in order to support the critical success factors of nurturing core science and enabling laboratory missions. The purpose of this SAND report is to provide a guide for those who want to understand the ST&E SMU metrics process. This report provides an overview of why the ST&E SMU wants a dashboard of metrics, some background on metrics for ST&E programs from existing literature and past Sandia metrics efforts, a summary of work completed to date, specifics on the portfolio of metrics that have been chosen and the implementation process that has been followed, and plans for the coming year to improve the ST&E SMU metrics process.

  11. Impact of Different Economic Performance Metrics on the Perceived Value of Solar Photovoltaics

    SciTech Connect (OSTI)

    Drury, E.; Denholm, P.; Margolis, R.

    2011-10-01

    Photovoltaic (PV) systems are installed by several types of market participants, ranging from residential customers to large-scale project developers and utilities. Each type of market participant frequently uses a different economic performance metric to characterize PV value because they are looking for different types of returns from a PV investment. This report finds that different economic performance metrics frequently show different price thresholds for when a PV investment becomes profitable or attractive. Several project parameters, such as financing terms, can have a significant impact on some metrics [e.g., internal rate of return (IRR), net present value (NPV), and benefit-to-cost (B/C) ratio] while having a minimal impact on other metrics (e.g., simple payback time). As such, the choice of economic performance metric by different customer types can significantly shape each customer's perception of PV investment value and ultimately their adoption decision.

  12. Sensitivity of Multi-gas Climate Policy to Emission Metrics

    SciTech Connect (OSTI)

    Smith, Steven J.; Karas, Joseph F.; Edmonds, James A.; Eom, Jiyong; Mizrahi, Andrew H.

    2013-04-01

    Multi-gas greenhouse emission targets require that different emissions be combined into an aggregate total. The Global Warming Potential (GWP) index is currently used for this purpose, despite various criticisms of the underlying concept. It is not possible to uniquely define a single metric that perfectly captures the different impacts of emissions of substances with widely disparate atmospheric lifetimes, which leads to a wide range of possible index values. We examine the sensitivity of emissions and climate outcomes to the value of the index used to aggregate methane emissions using a technologically detailed integrated assessment model. We find that the sensitivity to index value is of order 4-14% in terms of methane emissions and 2% in terms of total radiative forcing, using index values between 4 and 70 for methane, with larger regional differences in some cases. The sensitivity to index value is much higher in economic terms, with total 2-gas mitigation cost decreasing 4-5% for a lower index and increasing 10-13% for a larger index, with even larger changes if the emissions reduction targets are small. The sensitivity to index value also depends on the assumed maximum amount of mitigation available in each sector. Evaluation of the maximum mitigation potential for major sources of non-CO2 greenhouse gases would greatly aid analysis

  13. 11,970,363 Metric Tons of CO2 Injected as of February 23, 2016 | Department

    Energy Savers [EERE]

    of Energy 11,970,363 Metric Tons of CO2 Injected as of February 23, 2016 11,970,363 Metric Tons of CO2 Injected as of February 23, 2016 This carbon dioxide (CO2) has been injected in the United States as part of DOE's Clean Coal Research, Development, and Demonstration Programs. One million metric tons of CO2 is equivalent to the annual greenhouse gas emissions from 210,526 passenger vehicles. The projects currently injecting CO2 within DOE's Regional Carbon Sequestration Partnership Program

  14. 11,202,720 Metric Tons of CO2 Injected as of October 14, 2015 | Department

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

    of Energy 11,202,720 Metric Tons of CO2 Injected as of October 14, 2015 11,202,720 Metric Tons of CO2 Injected as of October 14, 2015 This carbon dioxide (CO2) has been injected in the United States as part of DOE's Clean Coal Research, Development, and Demonstration Programs. One million metric tons of CO2 is equivalent to the annual greenhouse gas emissions from 210,526 passenger vehicles. The projects currently injecting CO2 within DOE's Regional Carbon Sequestration Partnership Program

  15. Enclosure - FY 2016 Q1 Metrics Report 2016-02-11.xlsx

    Office of Environmental Management (EM)

    First Quarter Overall Root Cause Analysis (RCA)/Corrective Action Plan (CAP) Performance Metrics No. Contract/Project Management Performance Metrics FY 2016 Target No. 2 3 4 5 6 7 Comment FY 2016 Forecast Certified Contracting Staff: By the end of FY 2011, 85% of the 1102 contracting series will be certified. Schedule Compliance, Projects Less Than 5 Years Duration: Projects will meet the project schedule metric that follows: from CD-3 to CD- 4, projects less than five years duration will be

  16. Microsoft Word - QER Resilience Metrics - Technical Workshp Agenda_June 10_version 2

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

    Workshop Resilience Metrics for Energy Transmission and Distribution Infrastructure Offices of Electricity Delivery and Energy Reliability (OE) and Energy Policy and Systems Analysis (EPSA) June, 10th, 2014 Brookhaven National Lab Contents Purpose ............................................................................................ 1 Background ..................................................................................... 1 Workshop Agenda

  17. Modified Anti-de-Sitter Metric, Light-Front Quantized QCD, and...

    Office of Scientific and Technical Information (OSTI)

    Modified Anti-de-Sitter Metric, Light-Front Quantized QCD, and Conformal Quantum Mechanics Dosch, Hans Gunter; U. Heidelberg, ITP; Brodsky, Stanley J.; SLAC; de Teramond, Guy F.;...

  18. 11,202,720 Metric Tons of CO2 Injected as of October 14, 2015

    Office of Energy Efficiency and Renewable Energy (EERE)

    This carbon dioxide (CO2) has been injected in the United States as part of DOEs Clean Coal Research, Development, and Demonstration Programs. One million metric tons of CO2 is equivalent to the...

  19. Metrics for Developing an Endorsed Set of Radiographic Threat Surrogates for JINII/CAARS

    SciTech Connect (OSTI)

    Wurtz, R; Walston, S; Dietrich, D; Martz, H

    2009-02-11

    CAARS (Cargo Advanced Automated Radiography System) is developing x-ray dual energy and x-ray backscatter methods to automatically detect materials that are greater than Z=72 (hafnium). This works well for simple geometry materials, where most of the radiographic path is through one material. However, this is usually not the case. Instead, the radiographic path includes many materials of different lengths. Single energy can be used to compute {mu}y{sub l} which is related to areal density (mass per unit area) while dual energy yields more information. This report describes a set of metrics suitable and sufficient for characterizing the appearance of assemblies as detected by x-ray radiographic imaging systems, such as those being tested by Joint Integrated Non-Intrusive Inspection (JINII) or developed under CAARS. These metrics will be simulated both for threat assemblies and surrogate threat assemblies (such as are found in Roney et al. 2007) using geometrical and compositional information of the assemblies. The imaging systems are intended to distinguish assemblies containing high-Z material from those containing low-Z material, regardless of thickness, density, or compounds and mixtures. The systems in question operate on the principle of comparing images obtained by using two different x-ray end-point energies--so-called 'dual energy' imaging systems. At the direction of the DHS JINII sponsor, this report does not cover metrics that implement scattering, in the form of either forward-scattered radiation or high-Z detection systems operating on the principle of backscatter detection. Such methods and effects will be covered in a later report. The metrics described here are to be used to compare assemblies and not x-ray radiography systems. We intend to use these metrics to determine whether two assemblies do or do not look the same. We are tasked to develop a set of assemblies whose appearance using this class of detection systems is indistinguishable from the real threats. To check such an indistinguishability, we must define metrics that are broad enough to cover systems of different source spectra and detector spectral response; in other words, the best metrics should capture physical properties of the assemblies and not the source and detectors employed. In fact, one requirement for the metrics is that, as the detection circumstances change, the similarity or difference of the metrics of two assemblies should be maintained. This report describes the set of two simple 'dual energy' metrics that we have selected. A second report (Wurtz, et al. 2009) goes on to demonstrate several characteristics of the metrics, including how sensitive they are (or are not) to changes in the detection systems, shielding, etc.

  20. Microsoft PowerPoint - Snippet 3.2 Schedule Health Metrics 20140713 [Compatibility Mode]

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

    focuses on 'what' the metrics are, 'why' they are important, and what they tell us about the schedule health. This Snippet does not focus on the 'how' the metrics are calculated, other than to provide a basic understanding of what is being calculated. 1 As stated in the National Defense Industrial Association's Planning and Scheduling Excellence Guide (PASEG), "Periodic schedule health assessments are essential to ensure the IMS is valid and effective for reporting on accomplishments and

  1. DOE Announces Webinars on Solar Forecasting Metrics, the DOE Wind Vision,

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

    and More | Department of Energy Solar Forecasting Metrics, the DOE Wind Vision, and More DOE Announces Webinars on Solar Forecasting Metrics, the DOE Wind Vision, and More February 12, 2014 - 7:38pm Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies to training for the clean energy workforce. Webinars are free; however, advanced registration is typically required. You can also watch archived webinars

  2. Method for Confidence Metric in Optic Disk Location in Retinal Images -

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

    Energy Innovation Portal Method for Confidence Metric in Optic Disk Location in Retinal Images Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing Summary To improve accuracy in diagnosis of retinal disease, ORNL researchers invented a method for assigning a confidence metric to computer-aided optic disc analysis. The physical condition of the optic disk determines the presence of various ophthalmic pathologies, including glaucoma and diabetic retinopathy.

  3. Implementing the Data Center Energy Productivity Metric in a High Performance Computing Data Center

    SciTech Connect (OSTI)

    Sego, Landon H.; Marquez, Andres; Rawson, Andrew; Cader, Tahir; Fox, Kevin M.; Gustafson, William I.; Mundy, Christopher J.

    2013-06-30

    As data centers proliferate in size and number, the improvement of their energy efficiency and productivity has become an economic and environmental imperative. Making these improvements requires metrics that are robust, interpretable, and practical. We discuss the properties of a number of the proposed metrics of energy efficiency and productivity. In particular, we focus on the Data Center Energy Productivity (DCeP) metric, which is the ratio of useful work produced by the data center to the energy consumed performing that work. We describe our approach for using DCeP as the principal outcome of a designed experiment using a highly instrumented, high-performance computing data center. We found that DCeP was successful in clearly distinguishing different operational states in the data center, thereby validating its utility as a metric for identifying configurations of hardware and software that would improve energy productivity. We also discuss some of the challenges and benefits associated with implementing the DCeP metric, and we examine the efficacy of the metric in making comparisons within a data center and between data centers.

  4. Quality Assurance Specialist

    Broader source: Energy.gov [DOE]

    Alternate Title(s):Quality Control Technician; Quality Assurance Inspector; Quality Assurance Representative

  5. Water Quality

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

    Water Quality Water Quality We protect water quality through stormwater control measures and an extensive network of monitoring wells and stations encompassing groundwater, surface water, storm water and springs. April 12, 2012 Quarterly Groundwater monitoring attended by LANL managers and the Northern New Mexico Citizens Advisory Board LANL scientists brief the Northern New Mexico Citizens Advisory Board during quarterly groundwater monitoring of the well network around Area G. Contact

  6. Air Quality

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

    Air Quality Air Quality To preserve our existing wilderness-area air quality, LANL implements a conscientious program of air monitoring. March 17, 2015 Real-time data monitoring for particulate matter An air monitoring field team member tests one of LANL's tapered element oscillating microbalance samplers, which collects real-time particulate matter data. Contact Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 Email LANL monitors air

  7. Quality Management

    Broader source: Energy.gov [DOE]

    The Office of Quality Management, within the Office of Health, Safety and Security develops policies and procedures to ensure the classification and control of information is effective and...

  8. Quality Policy

    Broader source: Energy.gov [DOE]

    Quality Policy It is the policy of the Department of Energy to establish quality requirements to ensure that risks and environmental impacts are minimized and that safety, reliability, and performance are maximized through the application of effective management systems commensurate with the risks posed by the facility or activity and its work. The Department implements this policy through the QA Order and the QA rule directives to ensure quality assurance requirements are clearly specified for the broad spectrum of work performed by DOE and its contractors.

  9. Quality Assurance

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

    2005-06-17

    This Order ensures that the quality of DOE/NNSA products and services meets or exceeds the customers' expectations. Cancels DOE O 414.1B and DOE N 411.1. Canceled by DOE O 414.1D.

  10. Quality Assurance

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

    2011-04-25

    The Order defines roles and responsibilities for providing quality assurance for DOE products and services.Admin Chg 1, dated 5-8-13, supersedes DOE O 414.1D.

  11. Quality Assurance

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

    1999-09-29

    To establish an effective management system [i.e., quality assurance programs (QAPs)] using the performance requirements of this Order, coupled with technical standards where appropriate. Cancels DOE O 414.1.

  12. Quality Assurance

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

    2004-04-29

    This Order ensures that the quality of DOE/NNSA products and services meets or exceeds the customer's expectations. This Order cancels DOE O 414.1A, Quality Assurance, dated 9-29-99, and Attachment 1, paragraph 8, and Attachment 2, paragraph 22, of DOE O 440.1A, Worker Protection Management for DOE Federal and Contractor Employees, dated 3-27-98. Cancels: DOE O 414.1A and DOE O 440.1A, parts as noted.

  13. Quality Program

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

    QP001 Revision 0 Effective October 15, 2001 QUALITY PROGRAM Prepared by Electric Transportation Applications Prepared by: _______________________________ Date:__________ Jude M. Clark Approved by: _______________________________________________ Date: ______________ Donald B. Karner Procedure ETA-QP001 Revision 0 2 2001 Electric Transportation Applications All Rights Reserved TABLE OF CONTENTS 1.0 Objectives 3 2.0 Scope 3 3.0 Documentation 3 4.0 Prerequisites 4 5.0 Exclusions 5 6.0 Quality

  14. (SSS)GAO Metrics - Project Success 2015-04-29 1100.xls

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

    Second Quarter Overall Root Cause Analysis (RCA)/Corrective Action Plan (CAP) Performance Metrics No. Contract/Project Management Performance Metrics FY 2015 Target FY 2015 Pre- & Post- CAP* Forecast Comment 1 Capital Asset Project Success: Complete 90% of capital asset projects at original scope and within 110% of CD-2 TPC. 90% 100% Pre-CAP 77% Post-CAP Based on 3-year rolling period (FY13 to FY15). TPC is Total Project Cost. No. FY 2015 Target FY 2015 2nd Qtr Actual 2 95% 85% 3 95% 98% 4

  15. DOE to Remove 200 Metric Tons of Highly Enriched Uranium from U.S. Nuclear

    Energy Savers [EERE]

    Weapons Stockpile | Department of Energy to Remove 200 Metric Tons of Highly Enriched Uranium from U.S. Nuclear Weapons Stockpile DOE to Remove 200 Metric Tons of Highly Enriched Uranium from U.S. Nuclear Weapons Stockpile November 7, 2005 - 12:38pm Addthis Will Be Redirected to Naval Reactors, Down-blended or Used for Space Programs WASHINGTON, DC - Secretary of Energy Samuel W. Bodman today announced that the Department of Energy's (DOE) National Nuclear Security Administration (NNSA) will

  16. Energy Department Project Captures and Stores more than One Million Metric

    Office of Environmental Management (EM)

    Tons of CO2 | Department of Energy Project Captures and Stores more than One Million Metric Tons of CO2 Energy Department Project Captures and Stores more than One Million Metric Tons of CO2 June 26, 2014 - 11:30am Addthis Aerial view of Air Products’ existing steam methane reforming facility at Port Arthur, Texas, with new carbon-capture units and central co-gen and CO2 product compressor. | Photo courtesy of Air Products and Chemicals Inc. Aerial view of Air Products' existing steam

  17. FY 2014 Q3 RCA CAP Performance Metrics Report 2014-09-05.xlsx

    Office of Environmental Management (EM)

    Third Quarter Overall Root Cause Analysis (RCA)/Corrective Action Plan (CAP) Performance Metrics No. Contract/Project Management Performance Metrics FY 2014 Target FY 2014 Pre- & Post- CAP* Projected Comment 1 Capital Asset Project Success: Complete 90% of capital asset projects at original scope and within 110% of CD-2 TPC. 90% 67% Pre-CAP 75% Post-CAP Based on 3-year rolling period (FY12 to FY14). TPC is Total Project Cost. No. FY 2014 Target FY 2014 3rd Qtr Actual 2 95% 92% 3 95% 90% 4

  18. FY 2014 Q4 Metrics Report 2014-11-06.xlsx

    Office of Environmental Management (EM)

    Fourth Quarter Overall Root Cause Analysis (RCA)/Corrective Action Plan (CAP) Performance Metrics No. Contract/Project Management Performance Metrics FY 2014 Target FY 2014 Pre- & Post- CAP* Actual Comment 1 Capital Asset Project Success: Complete 90% of capital asset projects at original scope and within 110% of CD-2 TPC. 90% 67% Pre-CAP 76% Post-CAP Based on 3-year rolling period (FY12 to FY14). TPC is Total Project Cost. No. FY 2014 Target FY 2014 4th Qtr Actual 2 95% 89% 3 95% 94% 4 90%

  19. FY 2015 Q1 Metrics Supporting Documentation 2015-02-09.xls

    Office of Environmental Management (EM)

    First Quarter Overall Root Cause Analysis (RCA)/Corrective Action Plan (CAP) Performance Metrics No. Contract/Project Management Performance Metrics FY 2015 Target FY 2015 Pre- & Post- CAP* Forecast Comment 1 Capital Asset Project Success: Complete 90% of capital asset projects at original scope and within 110% of CD-2 TPC. 90% 100% Pre-CAP 77% Post-CAP Based on 3-year rolling period (FY13 to FY15). TPC is Total Project Cost. No. FY 2015 Target FY 2015 1st Qtr Actual 2 95% 83% 3 95% 100% 4

  20. Microsoft Word - 2014-1-1 RCA Qtr 1 Metrics Attachment_R1

    Office of Environmental Management (EM)

    4 First Quarter Overall Root Cause Analysis (RCA)/Corrective Action Plan (CAP) Performance Metrics 1 Contract/Project Management Performance Metric FY 2014 Target FY 2014 Projected FY 2014 Pre- & Post-CAP* Projected Comment Capital Asset Project Success: Complete 90% of capital asset projects at original scope and within 110% of CD-2 TPC. 90% 75% Construction 81% Cleanup 67% 67% Pre-CAP 75% Post-CAP Based on 3-year rolling period (FY12 to FY14) TPC is Total Project Cost. Contract/Project

  1. Microsoft Word - 2014-5-27 RCA Qtr 2 Metrics Attachment_R1

    Office of Environmental Management (EM)

    Second Quarter Overall Root Cause Analysis (RCA)/Corrective Action Plan (CAP) Performance Metrics 1 Contract/Project Management Performance Metric FY 2014 Target FY 2014 Projected FY 2014 Pre- & Post-CAP* Projected Comment Capital Asset Project Success: Complete 90% of capital asset projects at original scope and within 110% of CD-2 TPC. 90% 75% Construction 81% Cleanup 67% 67% Pre-CAP 75% Post-CAP Based on 3-year rolling period (FY12 to FY14) TPC is Total Project Cost. Contract/Project

  2. Enclosure - FY 2015 Q3 Metrics Report 2015-08-12.xlsx

    Office of Environmental Management (EM)

    Third Quarter Overall Root Cause Analysis (RCA)/Corrective Action Plan (CAP) Performance Metrics No. Contract/Project Management Performance Metrics FY 2015 Target FY 2015 Pre- & Post- CAP* Forecast Comment 1 Capital Asset Project Management Success: Complete 90% of capital asset projects at original scope and within 110% of CD-2 TPC. 90% 100% Pre-CAP 77% Post-CAP Based on 3-year rolling period (FY13 to FY15). TPC is Total Project Cost. No. FY 2015 Target FY 2015 3rd Qtr Actual 2 95% 80% 3

  3. Enclosure - FY 2015 Q4 Metrics Report 2015-11-02.xlsx

    Office of Environmental Management (EM)

    Fourth Quarter Overall Root Cause Analysis (RCA)/Corrective Action Plan (CAP) Performance Metrics No. Contract/Project Management Performance Metrics FY 2015 Target Comment No. 2 3 4 5 6 7 1 Capital Asset Project Success: Complete 90% of capital asset projects at original scope and within 110% of CD-2 TPC. 90% FY13-FY15: 40 completions through 4th Qtr. CD-4: Critical Decision-4, Approve Start of Operations/Project Completion. FY13-FY15: 4 completions through 4th Qtr. Based on 3-year rolling

  4. Hydrogen Fuel Quality

    SciTech Connect (OSTI)

    Rockward, Tommy

    2012-07-16

    For the past 6 years, open discussions and/or meetings have been held and are still on-going with OEM, Hydrogen Suppliers, other test facilities from the North America Team and International collaborators regarding experimental results, fuel clean-up cost, modeling, and analytical techniques to help determine levels of constituents for the development of an international standard for hydrogen fuel quality (ISO TC197 WG-12). Significant progress has been made. The process for the fuel standard is entering final stages as a result of the technical accomplishments. The objectives are to: (1) Determine the allowable levels of hydrogen fuel contaminants in support of the development of science-based international standards for hydrogen fuel quality (ISO TC197 WG-12); and (2) Validate the ASTM test method for determining low levels of non-hydrogen constituents.

  5. Multidimensional metrics for estimating phage abundance, distribution, gene density, and sequence coverage in metagenomes

    SciTech Connect (OSTI)

    Aziz, Ramy K.; Dwivedi, Bhakti; Akhter, Sajia; Breitbart, Mya; Edwards, Robert A.

    2015-05-08

    Phages are the most abundant biological entities on Earth and play major ecological roles, yet the current sequenced phage genomes do not adequately represent their diversity, and little is known about the abundance and distribution of these sequenced genomes in nature. Although the study of phage ecology has benefited tremendously from the emergence of metagenomic sequencing, a systematic survey of phage genes and genomes in various ecosystems is still lacking, and fundamental questions about phage biology, lifestyle, and ecology remain unanswered. To address these questions and improve comparative analysis of phages in different metagenomes, we screened a core set of publicly available metagenomic samples for sequences related to completely sequenced phages using the web tool, Phage Eco-Locator. We then adopted and deployed an array of mathematical and statistical metrics for a multidimensional estimation of the abundance and distribution of phage genes and genomes in various ecosystems. Experiments using those metrics individually showed their usefulness in emphasizing the pervasive, yet uneven, distribution of known phage sequences in environmental metagenomes. Using these metrics in combination allowed us to resolve phage genomes into clusters that correlated with their genotypes and taxonomic classes as well as their ecological properties. By adding this set of metrics to current metaviromic analysis pipelines, where they can provide insight regarding phage mosaicism, habitat specificity, and evolution.

  6. Metrics of closed world of Friedmann, agitated by electric charge (towards a theory electromagnetic Friedmanns)

    SciTech Connect (OSTI)

    Markov, M.A.; Frolov, V.P.

    1986-06-10

    The generalization is considered of the well-known Tolman problem to the case of electrically charged dust-like matter of the central symmetrical system. The first integrals of the correspondent system of the Einstein-Maxwell equations are found. The problem is specificated in such a way that with the full charge of the system going to zero, the metrics of the closed Friedman world arises. Such a system is considered at the initial moment, that of maximal enlargement. With any nonvanishing but no-matter-how-small value of the electric charge, the metrics is unclosed. The metrics of the almost-Friedmanian part of the world allows the continuation through the narrow manhole (at the small charge) as the Nordstroem Reissner metrics with the parameters m/sub O/ sq rt (chi) = e/sub o/. The expression for the electric potential in the manhole phi/sub h/ = c-squared/sq rt chi does not depend upon the value of the electric charge. The radius of the manhole r/sub h/ = e/sub O/ sq. rt (chi)/ c-squared increases with the increase of the charge. The state of the manhole as given by the classical description appears as essentially unstable from the quantum-physics viewpoint. The production of various pairs in the enormous electric fields of the manhole gives rise to the polarisation of the latter up to effective charge Z < 137e irrespective of the initial (no matter how great) charge of the system.

  7. Energy Department Project Captures and Stores One Million Metric Tons of Carbon

    Broader source: Energy.gov [DOE]

    As part of President Obama’s all-of-the-above energy strategy, the Department of Energy announced today that its Illinois Basin-Decatur Project successfully captured and stored one million metric tons of carbon dioxide (CO2) and injected it into a deep saline formation.

  8. Multidimensional metrics for estimating phage abundance, distribution, gene density, and sequence coverage in metagenomes

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

    Aziz, Ramy K.; Dwivedi, Bhakti; Akhter, Sajia; Breitbart, Mya; Edwards, Robert A.

    2015-05-08

    Phages are the most abundant biological entities on Earth and play major ecological roles, yet the current sequenced phage genomes do not adequately represent their diversity, and little is known about the abundance and distribution of these sequenced genomes in nature. Although the study of phage ecology has benefited tremendously from the emergence of metagenomic sequencing, a systematic survey of phage genes and genomes in various ecosystems is still lacking, and fundamental questions about phage biology, lifestyle, and ecology remain unanswered. To address these questions and improve comparative analysis of phages in different metagenomes, we screened a core set ofmore » publicly available metagenomic samples for sequences related to completely sequenced phages using the web tool, Phage Eco-Locator. We then adopted and deployed an array of mathematical and statistical metrics for a multidimensional estimation of the abundance and distribution of phage genes and genomes in various ecosystems. Experiments using those metrics individually showed their usefulness in emphasizing the pervasive, yet uneven, distribution of known phage sequences in environmental metagenomes. Using these metrics in combination allowed us to resolve phage genomes into clusters that correlated with their genotypes and taxonomic classes as well as their ecological properties. By adding this set of metrics to current metaviromic analysis pipelines, where they can provide insight regarding phage mosaicism, habitat specificity, and evolution.« less

  9. Quality Assurance

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

    1981-01-16

    To provide Department of Energy (DOE) policy, set forth principles, and assign responsibilities for establishing, implementing, and maintaining programs of plans and actions to assure quality achievement in DOE programs. Canceled by DOE O 5700.6A, dated 7-21-1981.

  10. Quality Assurance

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

    1981-07-21

    To provide Department of Energy (DOE) policy, set forth principles, and assign responsibilities for establishing, implementing, and maintaining programs of plans and actions to assure quality achievement in DOE programs. Cancels DOE O 5700.6, dated 1-16-1981. Canceled by DOE O 5700.6B, dated 9-23-1986.

  11. Development of new VOC exposure metrics and their relationship to ''Sick Building Syndrome'' symptoms

    SciTech Connect (OSTI)

    Ten Brinke, JoAnn

    1995-08-01

    Volatile organic compounds (VOCs) are suspected to contribute significantly to ''Sick Building Syndrome'' (SBS), a complex of subchronic symptoms that occurs during and in general decreases away from occupancy of the building in question. A new approach takes into account individual VOC potencies, as well as the highly correlated nature of the complex VOC mixtures found indoors. The new VOC metrics are statistically significant predictors of symptom outcomes from the California Healthy Buildings Study data. Multivariate logistic regression analyses were used to test the hypothesis that a summary measure of the VOC mixture, other risk factors, and covariates for each worker will lead to better prediction of symptom outcome. VOC metrics based on animal irritancy measures and principal component analysis had the most influence in the prediction of eye, dermal, and nasal symptoms. After adjustment, a water-based paints and solvents source was found to be associated with dermal and eye irritation. The more typical VOC exposure metrics used in prior analyses were not useful in symptom prediction in the adjusted model (total VOC (TVOC), or sum of individually identified VOCs ({Sigma}VOC{sub i})). Also not useful were three other VOC metrics that took into account potency, but did not adjust for the highly correlated nature of the data set, or the presence of VOCs that were not measured. High TVOC values (2--7 mg m{sup {minus}3}) due to the presence of liquid-process photocopiers observed in several study spaces significantly influenced symptoms. Analyses without the high TVOC values reduced, but did not eliminate the ability of the VOC exposure metric based on irritancy and principal component analysis to explain symptom outcome.

  12. DOE Order Self Study Modules - DOE O 414.1D Quality Assurance

    Office of Environmental Management (EM)

    14.1D QUALITY ASSURANCE DOE O 414.1D Familiar Level August 2011 1 DOE O 414.1D QUALITY ASSURANCE FAMILIAR LEVEL ...

  13. Quality Assurance

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

    2001-07-12

    To establish an effective management system [i.e., quality assurance programs(QAPs)] using the performance requirements of this Order, coupled with technical standards where appropriate. Change 1, dated 7/12/01, facilitates the Department's organizational transition necessitated by establishment of the NNSA. (Attachment 2 of this Order is canceled by DOE O 470.2B.) Cancels: DOE O 414.1

  14. Comparative hazard analysis and toxicological modeling of diverse nanomaterials using the embryonic zebrafish (EZ) metric of toxicity

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

    Harper, Bryan; Thomas, Dennis G.; Chikkagoudar, Satish; Baker, Nathan A.; Tang, Kaizhi; Heredia-Langner, Alejandro; Lins, Roberto D.; Harper, Stacey

    2015-06-04

    The integration of rapid assays, large data sets, informatics and modeling can overcome current barriers in understanding nanomaterial structure-toxicity relationships by providing a weight-of-the-evidence mechanism to generate hazard rankings for nanomaterials. Here we present the use of a rapid, low-cost assay to perform screening-level toxicity evaluations of nanomaterials in vivo. Calculated EZ Metric scores, a combined measure of morbidity and mortality, were established at realistic exposure levels and used to develop a predictive model of nanomaterial toxicity. Hazard ranking and clustering analysis of 68 diverse nanomaterials revealed distinct patterns of toxicity related to both core composition and outermost surface chemistrymore » of nanomaterials. The resulting clusters guided the development of a predictive model of gold nanoparticle toxicity to embryonic zebrafish. In addition, our findings suggest that risk assessments based on the size and core composition of nanomaterials alone may be wholly inappropriate, especially when considering complex engineered nanomaterials. These findings reveal the need to expeditiously increase the availability of quantitative measures of nanomaterial hazard and broaden the sharing of that data and knowledge to support predictive modeling. In addition, research should continue to focus on methodologies for developing predictive models of nanomaterial hazard based on sub-lethal responses to low dose exposures.« less

  15. Comparative hazard analysis and toxicological modeling of diverse nanomaterials using the embryonic zebrafish (EZ) metric of toxicity

    SciTech Connect (OSTI)

    Harper, Bryan; Thomas, Dennis G.; Chikkagoudar, Satish; Baker, Nathan A.; Tang, Kaizhi; Heredia-Langner, Alejandro; Lins, Roberto D.; Harper, Stacey

    2015-06-04

    The integration of rapid assays, large data sets, informatics and modeling can overcome current barriers in understanding nanomaterial structure-toxicity relationships by providing a weight-of-the-evidence mechanism to generate hazard rankings for nanomaterials. Here we present the use of a rapid, low-cost assay to perform screening-level toxicity evaluations of nanomaterials in vivo. Calculated EZ Metric scores, a combined measure of morbidity and mortality, were established at realistic exposure levels and used to develop a predictive model of nanomaterial toxicity. Hazard ranking and clustering analysis of 68 diverse nanomaterials revealed distinct patterns of toxicity related to both core composition and outermost surface chemistry of nanomaterials. The resulting clusters guided the development of a predictive model of gold nanoparticle toxicity to embryonic zebrafish. In addition, our findings suggest that risk assessments based on the size and core composition of nanomaterials alone may be wholly inappropriate, especially when considering complex engineered nanomaterials. These findings reveal the need to expeditiously increase the availability of quantitative measures of nanomaterial hazard and broaden the sharing of that data and knowledge to support predictive modeling. In addition, research should continue to focus on methodologies for developing predictive models of nanomaterial hazard based on sub-lethal responses to low dose exposures.

  16. ARM - Data Quality Program

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

    Quality Program DQ Resources Data Quality Assessment and Control Report (PDF, 747KB) Data Quality Office Data Quality Problem Reporting (DQPR) Contact Us Submit Data Quality Findings Randy Peppler, Data Quality Manager Ken Kehoe, Data Quality Specialist Justin Monroe, Data Quality Specialist Adam Theisen, Data Quality Specialist Sean Moore, Data Quality Consultant Instrument and Site Contacts Instrument Mentors AAF Contacts AMF Contacts NSA Site Contacts SGP Site Contacts TWP Site Contacts Data

  17. FUEL CYCLE TECHNOLOGIES QUALITY ASSURANCE PROGRAM DOCUMENT

    Broader source: Energy.gov [DOE]

    This Quality Assurance Program Document (QAPD) is the top-level quality policy and requirements document for the Fuel Cycle Technologies (FCT) program. The quality assurance (QA) requirements specified herein apply to Participants that manage and/or perform work within FCT Program.

  18. Metric Presentation

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

    Office of Electricity Delivery and Energy Reliability MODERN ... 6.00 7.00 8.00 9.00 10.00 1995 1996 1997 1998 1999 2000 ... Transmission congestion costs Cost of interruptions and ...

  19. Performance Metrics

    Broader source: Energy.gov [DOE]

    RCA/CAP Closure Report 2011 - This RCA/CAP Closure Report presents a status of the Department’s initiatives to address the most significant issues and their corresponding root causes and officially...

  20. Microsoft Word - McIntyre-Metrics Report SAND draft9-14.doc

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

    2070P Unlimited Release September 2007 Security Metrics for Process Control Systems Annie McIntyre, Blair Becker, Ron Halbgewachs Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under Contract DE-AC04-94AL85000. Approved for public release; further dissemination

  1. DOE Will Dispose of 34 Metric Tons of Plutonium by Turning it into Fuel for

    National Nuclear Security Administration (NNSA)

    Civilian Reactors | National Nuclear Security Administration Will Dispose of 34 Metric Tons of Plutonium by Turning it into Fuel for Civilian Reactors | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations

  2. Microsoft Word - McIntyre-Metrics Report SAND draft9-14.doc

    Office of Environmental Management (EM)

    2070P Unlimited Release September 2007 Security Metrics for Process Control Systems Annie McIntyre, Blair Becker, Ron Halbgewachs Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under Contract DE-AC04-94AL85000. Approved for public release; further dissemination

  3. Performance metrics and life-cycle information management for building performance assurance

    SciTech Connect (OSTI)

    Hitchcock, R.J.; Piette, M.A.; Selkowitz, S.E.

    1998-06-01

    Commercial buildings account for over $85 billion per year in energy costs, which is far more energy than technically necessary. One of the primary reasons buildings do not perform as well as intended is that critical information is lost, through ineffective documentation and communication, leading to building systems that are often improperly installed and operated. A life-cycle perspective on the management of building information provides a framework for improving commercial building energy performance. This paper describes a project to develop strategies and techniques to provide decision-makers with information needed to assure the desired building performance across the complete life cycle of a building project. A key element in this effort is the development of explicit performance metrics that quantitatively represent performance objectives of interest to various building stakeholders. The paper begins with a discussion of key problems identified in current building industry practice, and ongoing work to address these problems. The paper then focuses on the concept of performance metrics and their use in improving building performance during design, commissioning, and on-going operations. The design of a Building Life-cycle Information System (BLISS) is presented. BLISS is intended to provide an information infrastructure capable of integrating a variety of building information technologies that support performance assurance. The use of performance metrics in case study building projects is explored to illustrate current best practice. The application of integrated information technology for improving current practice is discussed.

  4. Specification and implementation of IFC based performance metrics to support building life cycle assessment of hybrid energy systems

    SciTech Connect (OSTI)

    Morrissey, Elmer; O'Donnell, James; Keane, Marcus; Bazjanac, Vladimir

    2004-03-29

    Minimizing building life cycle energy consumption is becoming of paramount importance. Performance metrics tracking offers a clear and concise manner of relating design intent in a quantitative form. A methodology is discussed for storage and utilization of these performance metrics through an Industry Foundation Classes (IFC) instantiated Building Information Model (BIM). The paper focuses on storage of three sets of performance data from three distinct sources. An example of a performance metrics programming hierarchy is displayed for a heat pump and a solar array. Utilizing the sets of performance data, two discrete performance effectiveness ratios may be computed, thus offering an accurate method of quantitatively assessing building performance.

  5. Data Driven Quality Assurance and Quality Control

    Broader source: Energy.gov [DOE]

    "Data Driven Quality Assurance & Quality Control," Patrick Roche, Conservation Services Group. Provides an overview of data QA/QC system design.

  6. How Does Your Data Center Measure Up? Energy Efficiency Metrics and Benchmarks for Data Center Infrastructure Systems

    SciTech Connect (OSTI)

    Mathew, Paul; Greenberg, Steve; Ganguly, Srirupa; Sartor, Dale; Tschudi, William

    2009-04-01

    Data centers are among the most energy intensive types of facilities, and they are growing dramatically in terms of size and intensity [EPA 2007]. As a result, in the last few years there has been increasing interest from stakeholders - ranging from data center managers to policy makers - to improve the energy efficiency of data centers, and there are several industry and government organizations that have developed tools, guidelines, and training programs. There are many opportunities to reduce energy use in data centers and benchmarking studies reveal a wide range of efficiency practices. Data center operators may not be aware of how efficient their facility may be relative to their peers, even for the same levels of service. Benchmarking is an effective way to compare one facility to another, and also to track the performance of a given facility over time. Toward that end, this article presents the key metrics that facility managers can use to assess, track, and manage the efficiency of the infrastructure systems in data centers, and thereby identify potential efficiency actions. Most of the benchmarking data presented in this article are drawn from the data center benchmarking database at Lawrence Berkeley National Laboratory (LBNL). The database was developed from studies commissioned by the California Energy Commission, Pacific Gas and Electric Co., the U.S. Department of Energy and the New York State Energy Research and Development Authority.

  7. LANL sponsors Quality New Mexico

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

    Quality New Mexico performance excellence conference April 19, 2011 April 12, 2011 LOS ALAMOS, New Mexico, April 12, 2011-Want to take your organization to the next level and network with performance leaders from across the nation? Los Alamos National Laboratory is the lead sponsor of the 17th annual Quality New Mexico Learning Summit and New Mexico Quality Awards ceremony, to be held April 19 and 20 at the Albuquerque Marriott Pyramid North."In the end, it all comes down to learning,"

  8. Genome Assembly Forensics: Metrics for Assessing Assembly Correctness (Metagenomics Informatics Challenges Workshop: 10K Genomes at a Time)

    ScienceCinema (OSTI)

    Pop, Mihai [University of Maryland

    2013-01-22

    University of Maryland's Mihai Pop on "Genome Assembly Forensics: Metrics for Assessing Assembly Correctness" at the Metagenomics Informatics Challenges Workshop held at the DOE JGI on October 12-13, 2011.

  9. Light Water Reactor Sustainability Program Operator Performance Metrics for Control Room Modernization: A Practical Guide for Early Design Evaluation

    SciTech Connect (OSTI)

    Ronald Boring; Roger Lew; Thomas Ulrich; Jeffrey Joe

    2014-03-01

    As control rooms are modernized with new digital systems at nuclear power plants, it is necessary to evaluate the operator performance using these systems as part of a verification and validation process. There are no standard, predefined metrics available for assessing what is satisfactory operator interaction with new systems, especially during the early design stages of a new system. This report identifies the process and metrics for evaluating human system interfaces as part of control room modernization. The report includes background information on design and evaluation, a thorough discussion of human performance measures, and a practical example of how the process and metrics have been used as part of a turbine control system upgrade during the formative stages of design. The process and metrics are geared toward generalizability to other applications and serve as a template for utilities undertaking their own control room modernization activities.

  10. Specified assurance level sampling procedure

    SciTech Connect (OSTI)

    Willner, O.

    1980-11-01

    In the nuclear industry design specifications for certain quality characteristics require that the final product be inspected by a sampling plan which can demonstrate product conformance to stated assurance levels. The Specified Assurance Level (SAL) Sampling Procedure has been developed to permit the direct selection of attribute sampling plans which can meet commonly used assurance levels. The SAL procedure contains sampling plans which yield the minimum sample size at stated assurance levels. The SAL procedure also provides sampling plans with acceptance numbers ranging from 0 to 10, thus, making available to the user a wide choice of plans all designed to comply with a stated assurance level.

  11. CT head-scan dosimetry in an anthropomorphic phantom and associated measurement of ACR accreditation-phantom imaging metrics under clinically representative scan conditions

    SciTech Connect (OSTI)

    Brunner, Claudia C.; Stern, Stanley H.; Chakrabarti, Kish; Minniti, Ronaldo; Parry, Marie I.; Skopec, Marlene

    2013-08-15

    Purpose: To measure radiation absorbed dose and its distribution in an anthropomorphic head phantom under clinically representative scan conditions in three widely used computed tomography (CT) scanners, and to relate those dose values to metrics such as high-contrast resolution, noise, and contrast-to-noise ratio (CNR) in the American College of Radiology CT accreditation phantom.Methods: By inserting optically stimulated luminescence dosimeters (OSLDs) in the head of an anthropomorphic phantom specially developed for CT dosimetry (University of Florida, Gainesville), we measured dose with three commonly used scanners (GE Discovery CT750 HD, Siemens Definition, Philips Brilliance 64) at two different clinical sites (Walter Reed National Military Medical Center, National Institutes of Health). The scanners were set to operate with the same data-acquisition and image-reconstruction protocols as used clinically for typical head scans, respective of the practices of each facility for each scanner. We also analyzed images of the ACR CT accreditation phantom with the corresponding protocols. While the Siemens Definition and the Philips Brilliance protocols utilized only conventional, filtered back-projection (FBP) image-reconstruction methods, the GE Discovery also employed its particular version of an adaptive statistical iterative reconstruction (ASIR) algorithm that can be blended in desired proportions with the FBP algorithm. We did an objective image-metrics analysis evaluating the modulation transfer function (MTF), noise power spectrum (NPS), and CNR for images reconstructed with FBP. For images reconstructed with ASIR, we only analyzed the CNR, since MTF and NPS results are expected to depend on the object for iterative reconstruction algorithms.Results: The OSLD measurements showed that the Siemens Definition and the Philips Brilliance scanners (located at two different clinical facilities) yield average absorbed doses in tissue of 42.6 and 43.1 mGy, respectively. The GE Discovery delivers about the same amount of dose (43.7 mGy) when run under similar operating and image-reconstruction conditions, i.e., without tube current modulation and ASIR. The image-metrics analysis likewise showed that the MTF, NPS, and CNR associated with the reconstructed images are mutually comparable when the three scanners are run with similar settings, and differences can be attributed to different edge-enhancement properties of the applied reconstruction filters. Moreover, when the GE scanner was operated with the facility's scanner settings for routine head exams, which apply 50% ASIR and use only approximately half of the 100%-FBP dose, the CNR of the images showed no significant change. Even though the CNR alone is not sufficient to characterize the image quality and justify any dose reduction claims, it can be useful as a constancy test metric.Conclusions: This work presents a straightforward method to connect direct measurements of CT dose with objective image metrics such as high-contrast resolution, noise, and CNR. It demonstrates that OSLD measurements in an anthropomorphic head phantom allow a realistic and locally precise estimation of magnitude and spatial distribution of dose in tissue delivered during a typical CT head scan. Additional objective analysis of the images of the ACR accreditation phantom can be used to relate the measured doses to high contrast resolution, noise, and CNR.

  12. Perfect fluid and scalar field in the Reissner-Nordstroem metric

    SciTech Connect (OSTI)

    Babichev, E. O.; Dokuchaev, V. I. Eroshenko, Yu. N.

    2011-05-15

    We describe the spherically symmetric steady-state accretion of perfect fluid in the Reissner-Nordstroem metric. We present analytic solutions for accretion of a fluid with linear equations of state and of the Chaplygin gas. We also show that under reasonable physical conditions, there is no steady-state accretion of a perfect fluid onto a Reissner-Nordstroem naked singularity. Instead, a static atmosphere of fluid is formed. We discuss a possibility of violation of the third law of black hole thermodynamics for a phantom fluid accretion.

  13. Ultrahard fluid and scalar field in the Kerr-Newman metric

    SciTech Connect (OSTI)

    Babichev, E.; Chernov, S.; Dokuchaev, V.; Eroshenko, Yu.

    2008-11-15

    An analytic solution for the accretion of ultrahard perfect fluid onto a moving Kerr-Newman black hole is found. This solution is a generalization of the previously known solution by Petrich, Shapiro, and Teukolsky for a Kerr black hole. We show that the found solution is applicable for the case of a nonextreme black hole, however it cannot describe the accretion onto an extreme black hole due to violation of the test fluid approximation. We also present a stationary solution for a massless scalar field in the metric of a Kerr-Newman naked singularity.

  14. Integration of Sustainability Metrics into Design Cases and State of Technology Assessments

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

    This presentation does not contain any proprietary, confidential, or otherwise restricted information DOE Bioenergy Technologies Office (BETO) 2015 Project Peer Review Integration of Sustainability Metrics into Design Cases and State of Technology Assessments 2.1.0.100/2.1.0.302 NREL 2.1.0.301 PNNL Mary Biddy On behalf Eric Tan, Abhijit Dutta, Ryan Davis, Mike Talmadge NREL Lesley Snowden-Swan On behalf of Sue Jones, Aye Meyer, Ken Rappe, Kurt Spies PNNL Goal Statement 2 Support the development

  15. Table 11.4 Nitrous Oxide Emissions, 1980-2009 (Thousand Metric Tons of Nitrous Oxide)

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

    Nitrous Oxide Emissions, 1980-2009 (Thousand Metric Tons of Nitrous Oxide) Year Energy Sources Waste Management Agricultural Sources Industrial Processes 3 Total Mobile Combustion 1 Stationary Combustion 2 Total Waste Combustion Human Sewage in Wastewater Total Nitrogen Fertilization of Soils Crop Residue Burning Solid Waste of Domesticated Animals Total 1980 60 44 104 1 10 11 364 1 75 440 88 642 1981 63 44 106 1 10 11 364 2 74 440 84 641 1982 67 42 108 1 10 11 339 2 74 414 80 614 1983 71 43 114

  16. Rapid production of optimal-quality reduced-resolution representations of very large databases

    DOE Patents [OSTI]

    Sigeti, David E.; Duchaineau, Mark; Miller, Mark C.; Wolinsky, Murray; Aldrich, Charles; Mineev-Weinstein, Mark B.

    2001-01-01

    View space representation data is produced in real time from a world space database representing terrain features. The world space database is first preprocessed. A database is formed having one element for each spatial region corresponding to a finest selected level of detail. A multiresolution database is then formed by merging elements and a strict error metric is computed for each element at each level of detail that is independent of parameters defining the view space. The multiresolution database and associated strict error metrics are then processed in real time for real time frame representations. View parameters for a view volume comprising a view location and field of view are selected. The error metric with the view parameters is converted to a view-dependent error metric. Elements with the coarsest resolution are chosen for an initial representation. Data set first elements from the initial representation data set are selected that are at least partially within the view volume. The first elements are placed in a split queue ordered by the value of the view-dependent error metric. If the number of first elements in the queue meets or exceeds a predetermined number of elements or whether the largest error metric is less than or equal to a selected upper error metric bound, the element at the head of the queue is force split and the resulting elements are inserted into the queue. Force splitting is continued until the determination is positive to form a first multiresolution set of elements. The first multiresolution set of elements is then outputted as reduced resolution view space data representing the terrain features.

  17. Advanced Fuels Campaign Light Water Reactor Accident Tolerant Fuel Performance Metrics Executive Summary

    SciTech Connect (OSTI)

    Shannon Bragg-Sitton

    2014-02-01

    Research and development (R&D) activities on advanced, higher performance Light Water Reactor (LWR) fuels have been ongoing for the last few years. Following the unfortunate March 2011 events at the Fukushima Nuclear Power Plant in Japan, the R&D shifted toward enhancing the accident tolerance of LWRs. Qualitative attributes for fuels with enhanced accident tolerance, such as improved reaction kinetics with steam resulting in slower hydrogen generation rate, provide guidance for the design and development of fuels and cladding with enhanced accident tolerance. A common set of technical metrics should be established to aid in the optimization and down selection of candidate designs on a more quantitative basis. Metrics describe a set of technical bases by which multiple concepts can be fairly evaluated against a common baseline and against one another. This report describes a proposed technical evaluation methodology that can be applied to evaluate the ability of each concept to meet performance and safety goals relative to the current UO2 zirconium alloy system and relative to one another. The resultant ranked evaluation can then inform concept down-selection, such that the most promising accident tolerant fuel design option(s) can continue to be developed toward qualification.

  18. Data Quality of Quality Measurement Experiments

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

    Data Quality of Quality Measurement Experiments S. Bottone and S. Moore Mission Research Corporation Santa Barbara, California Introduction Quality Measurement Experiments (QME) are a special class of Value-Added Products (VAP). QMEs add value to Atmospheric Radiation Measurement (ARM) Program datastreams by providing for continuous assessment of the quality of incoming data based on internal consistency checks, comparisons between independent similar measurements, or comparisons between

  19. HSS Quality Initiatives

    Broader source: Energy.gov [DOE]

    Presenter: Colette Broussard, Office of Quality Assurance Policy and Assistance, Office of Nuclear Safety, Quality Assurance and Environment Track 9-2

  20. Section 22: Quality Assurance

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

    Carlsbad Field Office Carlsbad, New Mexico Compliance Recertification Application 2014 Quality Assurance (40 CFR 194.22) Table of Contents 22.0 Quality Assurance (40 CFR ...

  1. Keys to Successful Quality Assurance and Quality Control Programs (101) |

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

    Department of Energy Keys to Successful Quality Assurance and Quality Control Programs (101) Keys to Successful Quality Assurance and Quality Control Programs (101) January 28

  2. Keys to Successful Quality Assurance and Quality Control Programs...

    Office of Environmental Management (EM)

    Keys to Successful Quality Assurance and Quality Control Programs (101) Keys to Successful Quality Assurance and Quality Control Programs (101) January 28...

  3. SWQM: Source Water Quality Modeling Software

    Energy Science and Technology Software Center (OSTI)

    2008-01-08

    The Source Water Quality Modeling software (SWQM) simulates the water quality conditions that reflect properties of water generated by water treatment facilities. SWQM consists of a set of Matlab scripts that model the statistical variation that is expected in a water treatment facility’s water, such as pH and chlorine levels.

  4. DOE Challenge Home Recommended Quality Management Provisions

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

    Recommended Quality Management Provisions RECOMMENDED QUALITY MANAGEMENT PROVISIONS QM Provision Builder Documentation & Verification Requirements Rater/Verifier Requirements QM #1: Project Documentation Complete construction documents shall be qualified as Designed to Earn ENERGY STAR and document all additional provisions and specifications required for DOE Challenge Home including mandatory provisions: 2012 IECC envelope insulation levels, ENERGY STAR windows, duct work in conditioned

  5. Quantifying Availability in SCADA Environments Using the Cyber Security Metric MFC

    SciTech Connect (OSTI)

    Aissa, Anis Ben; Rabai, Latifa Ben Arfa; Abercrombie, Robert K; Sheldon, Frederick T; Mili, Ali

    2014-01-01

    Supervisory Control and Data Acquisition (SCADA) systems are distributed networks dispersed over large geographic areas that aim to monitor and control industrial processes from remote areas and/or a centralized location. They are used in the management of critical infrastructures such as electric power generation, transmission and distribution, water and sewage, manufacturing/industrial manufacturing as well as oil and gas production. The availability of SCADA systems is tantamount to assuring safety, security and profitability. SCADA systems are the backbone of the national cyber-physical critical infrastructure. Herein, we explore the definition and quantification of an econometric measure of availability, as it applies to SCADA systems; our metric is a specialization of the generic measure of mean failure cost.

  6. MULTI-SCALE MORPHOLOGICAL ANALYSIS OF SDSS DR5 SURVEY USING THE METRIC SPACE TECHNIQUE

    SciTech Connect (OSTI)

    Wu Yongfeng; Batuski, David J.; Khalil, Andre

    2009-12-20

    Following the novel development and adaptation of the Metric Space Technique (MST), a multi-scale morphological analysis of the Sloan Digital Sky Survey (SDSS) Data Release 5 (DR5) was performed. The technique was adapted to perform a space-scale morphological analysis by filtering the galaxy point distributions with a smoothing Gaussian function, thus giving quantitative structural information on all size scales between 5 and 250 Mpc. The analysis was performed on a dozen slices of a volume of space containing many newly measured galaxies from the SDSS DR5 survey. Using the MST, observational data were compared to galaxy samples taken from N-body simulations with current best estimates of cosmological parameters and from random catalogs. By using the maximal ranking method among MST output functions, we also develop a way to quantify the overall similarity of the observed samples with the simulated samples.

  7. Table 11.3 Methane Emissions, 1980-2009 (Million Metric Tons of Methane)

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

    Methane Emissions, 1980-2009 (Million Metric Tons of Methane) Year Energy Sources Waste Management Agricultural Sources Industrial Processes 9 Total 5 Coal Mining Natural Gas Systems 1 Petroleum Systems 2 Mobile Com- bustion 3 Stationary Com- bustion 4 Total 5 Landfills Waste- water Treatment 6 Total 5 Enteric Fermen- tation 7 Animal Waste 8 Rice Cultivation Crop Residue Burning Total 5 1980 3.06 4.42 NA 0.28 0.45 8.20 10.52 0.52 11.04 5.47 2.87 0.48 0.04 8.86 0.17 28.27 1981 2.81 5.02 NA .27

  8. Interval Data Analysis with the Energy Charting and Metrics Tool (ECAM)

    SciTech Connect (OSTI)

    Taasevigen, Danny J.; Katipamula, Srinivas; Koran, William

    2011-07-07

    Analyzing whole building interval data is an inexpensive but effective way to identify and improve building operations, and ultimately save money. Utilizing the Energy Charting and Metrics Tool (ECAM) add-in for Microsoft Excel, building operators and managers can begin implementing changes to their Building Automation System (BAS) after trending the interval data. The two data components needed for full analyses are whole building electricity consumption (kW or kWh) and outdoor air temperature (OAT). Using these two pieces of information, a series of plots and charts and be created in ECAM to monitor the buildings performance over time, gain knowledge of how the building is operating, and make adjustments to the BAS to improve efficiency and start saving money.

  9. Anomaly metrics to differentiate threat sources from benign sources in primary vehicle screening.

    SciTech Connect (OSTI)

    Cohen, Israel Dov; Mengesha, Wondwosen

    2011-09-01

    Discrimination of benign sources from threat sources at Port of Entries (POE) is of a great importance in efficient screening of cargo and vehicles using Radiation Portal Monitors (RPM). Currently RPM's ability to distinguish these radiological sources is seriously hampered by the energy resolution of the deployed RPMs. As naturally occurring radioactive materials (NORM) are ubiquitous in commerce, false alarms are problematic as they require additional resources in secondary inspection in addition to impacts on commerce. To increase the sensitivity of such detection systems without increasing false alarm rates, alarm metrics need to incorporate the ability to distinguish benign and threat sources. Principal component analysis (PCA) and clustering technique were implemented in the present study. Such techniques were investigated for their potential to lower false alarm rates and/or increase sensitivity to weaker threat sources without loss of specificity. Results of the investigation demonstrated improved sensitivity and specificity in discriminating benign sources from threat sources.

  10. A Year of Radiation Measurements at the North Slope of Alaska Second Quarter 2009 ARM and Climate Change Prediction Program Metric Report

    SciTech Connect (OSTI)

    S.A. McFarlane, Y. Shi, C.N. Long

    2009-04-15

    In 2009, the Atmospheric Radiation Measurement (ARM) Program and the Climate Change Prediction Program (CCPP) have been asked to produce joint science metrics. For CCPP, the second quarter metrics are reported in Evaluation of Simulated Precipitation in CCSM3: Annual Cycle Performance Metrics at Watershed Scales. For ARM, the metrics will produce and make available new continuous time series of radiative fluxes based on one year of observations from Barrow, Alaska, during the International Polar Year and report on comparisons of observations with baseline simulations of the Community Climate System Model (CCSM).

  11. Conceptual Framework for Developing Resilience Metrics for the Electricity, Oil, and Gas Sectors in the United States

    SciTech Connect (OSTI)

    Watson, Jean-Paul; Guttromson, Ross; Silva-Monroy, Cesar; Jeffers, Robert; Jones, Katherine; Ellison, James; Rath, Charles; Gearhart, Jared; Jones, Dean; Corbet, Tom; Hanley, Charles; Walker, La Tonya

    2014-09-01

    This report has been written for the Department of Energy’s Energy Policy and Systems Analysis Office to inform their writing of the Quadrennial Energy Review in the area of energy resilience. The topics of measuring and increasing energy resilience are addressed, including definitions, means of measuring, and analytic methodologies that can be used to make decisions for policy, infrastructure planning, and operations. A risk-based framework is presented which provides a standard definition of a resilience metric. Additionally, a process is identified which explains how the metrics can be applied. Research and development is articulated that will further accelerate the resilience of energy infrastructures.

  12. Advanced Fuels Campaign Light Water Reactor Accident Tolerant Fuel Performance Metrics

    SciTech Connect (OSTI)

    Brad Merrill; Melissa Teague; Robert Youngblood; Larry Ott; Kevin Robb; Michael Todosow; Chris Stanek; Mitchell Farmer; Michael Billone; Robert Montgomery; Nicholas Brown; Shannon Bragg-Sitton

    2014-02-01

    The safe, reliable and economic operation of the nations nuclear power reactor fleet has always been a top priority for the United States nuclear industry. As a result, continual improvement of technology, including advanced materials and nuclear fuels, remains central to industrys success. Decades of research combined with continual operation have produced steady advancements in technology and yielded an extensive base of data, experience, and knowledge on light water reactor (LWR) fuel performance under both normal and accident conditions. In 2011, following the Great East Japan Earthquake, resulting tsunami, and subsequent damage to the Fukushima Daiichi nuclear power plant complex, enhancing the accident tolerance of LWRs became a topic of serious discussion. As a result of direction from the U.S. Congress, the U.S. Department of Energy Office of Nuclear Energy (DOE-NE) initiated an Accident Tolerant Fuel (ATF) Development program. The complex multiphysics behavior of LWR nuclear fuel makes defining specific material or design improvements difficult; as such, establishing qualitative attributes is critical to guide the design and development of fuels and cladding with enhanced accident tolerance. This report summarizes a common set of technical evaluation metrics to aid in the optimization and down selection of candidate designs. As used herein, metrics describe a set of technical bases by which multiple concepts can be fairly evaluated against a common baseline and against one another. Furthermore, this report describes a proposed technical evaluation methodology that can be applied to assess the ability of each concept to meet performance and safety goals relative to the current UO2 zirconium alloy system and relative to one another. The resultant ranked evaluation can then inform concept down-selection, such that the most promising accident tolerant fuel design option(s) can continue to be developed for lead test rod or lead test assembly insertion into a commercial reactor within the desired timeframe (by 2022).

  13. Geoecology: a county-level environmental data base for the conterminous United States

    SciTech Connect (OSTI)

    Olson, R.J.; Emerson, C.J.; Nungesser, M.K.

    1980-09-01

    The Geoecology Data Base represents a unique compilation of computerized environmental data for research and development needs. Environmental assessment and planning for energy development require rapid access to data at appropriate spatial and temporal scales. In the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL), we have developed an integrated data base of diverse environmental resource information from extant sources. Data are stored at the county level of resolution for the conterminous United States with some data available for subcounty units within larger, more diverse eastern counties. The Geoecology Data Base contains selected data on terrain and soils, water resources, forestry, vegetation, agriculture, land use, wildlife, air quality, climate, natural areas, and endangered species. Basic files on human population are also included to complement the environmental files. Data are stored in metric-SI units. The Geoecology Data Base is currently fulfilling diverse ongoing research needs while it is being expanded and updated as needs and new data are identified. This report is both a documentation and a user's guide to the Geoecology Data Base. It describes the Data Base design, illustrates applications, provides examples of accessing the Data Base, and gives general information on the data set contents.

  14. Track 9: Quality Assurance

    Broader source: Energy.gov [DOE]

    ISM Workshop Presentations Knoxville Convention Center, Knoxville, TN August 2009 Track 9: Quality Assurance

  15. Implementation Guide - Performance Indicators (Metrics ) for Use with DOE O 440.2B, Aviation Management and Safety

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

    2005-09-19

    The Guide provides information regarding specific provisions of DOE O 440.2B and is intended to be useful in understanding and implementing performance indicators (metrics) required by the Order. Cancels DOE G 440.2B-1. Canceled by DOE N 251.98.

  16. Implementation Guide - Aviation Program Performance Indicators (Metrics) for use with DOE O 440.2B, Aviation Management And Safety

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

    2002-12-10

    The Guide provides information regarding Departmental expectations on provisions of DOE 440.2B, identifies acceptable methods of implementing Aviation Program Performance Indicators (Metrics) requirements in the Order, and identifies relevant principles and practices by referencing Government and non-Government standards. Canceled by DOE G 440.2B-1A.

  17. Analyst Tools and Quality Control Software for the ARM Data System

    SciTech Connect (OSTI)

    Moore, S.T.

    2004-12-14

    ATK Mission Research develops analyst tools and automated quality control software in order to assist the Atmospheric Radiation Measurement (ARM) Data Quality Office with their data inspection tasks. We have developed a web-based data analysis and visualization tool, called NCVweb, that allows for easy viewing of ARM NetCDF files. NCVweb, along with our library of sharable Interactive Data Language procedures and functions, allows even novice ARM researchers to be productive with ARM data with only minimal effort. We also contribute to the ARM Data Quality Office by analyzing ARM data streams, developing new quality control metrics, new diagnostic plots, and integrating this information into DQ HandS - the Data Quality Health and Status web-based explorer. We have developed several ways to detect outliers in ARM data streams and have written software to run in an automated fashion to flag these outliers.

  18. Reduced order models for prediction of groundwater quality impacts from CO₂ and brine leakage

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

    Zheng, Liange; Carroll, Susan; Bianchi, Marco; Mansoor, Kayyum; Sun, Yunwei; Birkholzer, Jens

    2014-12-31

    A careful assessment of the risk associated with geologic CO₂ storage is critical to the deployment of large-scale storage projects. A potential risk is the deterioration of groundwater quality caused by the leakage of CO₂ and brine leakage from deep subsurface reservoirs. In probabilistic risk assessment studies, numerical modeling is the primary tool employed to assess risk. However, the application of traditional numerical models to fully evaluate the impact of CO₂ leakage on groundwater can be computationally complex, demanding large processing times and resources, and involving large uncertainties. As an alternative, reduced order models (ROMs) can be used as highlymore » efficient surrogates for the complex process-based numerical models. In this study, we represent the complex hydrogeological and geochemical conditions in a heterogeneous aquifer and subsequent risk by developing and using two separate ROMs. The first ROM is derived from a model that accounts for the heterogeneous flow and transport conditions in the presence of complex leakage functions for CO₂ and brine. The second ROM is obtained from models that feature similar, but simplified flow and transport conditions, and allow for a more complex representation of all relevant geochemical reactions. To quantify possible impacts to groundwater aquifers, the basic risk metric is taken as the aquifer volume in which the water quality of the aquifer may be affected by an underlying CO₂ storage project. The integration of the two ROMs provides an estimate of the impacted aquifer volume taking into account uncertainties in flow, transport and chemical conditions. These two ROMs can be linked in a comprehensive system level model for quantitative risk assessment of the deep storage reservoir, wellbore leakage, and shallow aquifer impacts to assess the collective risk of CO₂ storage projects.« less

  19. Reduced order models for prediction of groundwater quality impacts from CO? and brine leakage

    SciTech Connect (OSTI)

    Zheng, Liange; Carroll, Susan; Bianchi, Marco; Mansoor, Kayyum; Sun, Yunwei; Birkholzer, Jens

    2014-12-31

    A careful assessment of the risk associated with geologic CO? storage is critical to the deployment of large-scale storage projects. A potential risk is the deterioration of groundwater quality caused by the leakage of CO? and brine leakage from deep subsurface reservoirs. In probabilistic risk assessment studies, numerical modeling is the primary tool employed to assess risk. However, the application of traditional numerical models to fully evaluate the impact of CO? leakage on groundwater can be computationally complex, demanding large processing times and resources, and involving large uncertainties. As an alternative, reduced order models (ROMs) can be used as highly efficient surrogates for the complex process-based numerical models. In this study, we represent the complex hydrogeological and geochemical conditions in a heterogeneous aquifer and subsequent risk by developing and using two separate ROMs. The first ROM is derived from a model that accounts for the heterogeneous flow and transport conditions in the presence of complex leakage functions for CO? and brine. The second ROM is obtained from models that feature similar, but simplified flow and transport conditions, and allow for a more complex representation of all relevant geochemical reactions. To quantify possible impacts to groundwater aquifers, the basic risk metric is taken as the aquifer volume in which the water quality of the aquifer may be affected by an underlying CO? storage project. The integration of the two ROMs provides an estimate of the impacted aquifer volume taking into account uncertainties in flow, transport and chemical conditions. These two ROMs can be linked in a comprehensive system level model for quantitative risk assessment of the deep storage reservoir, wellbore leakage, and shallow aquifer impacts to assess the collective risk of CO? storage projects.

  20. Use of Frequency Response Metrics to Assess the Planning and Operating Requirements for Reliable Integration of Variable Renewable Generation

    SciTech Connect (OSTI)

    Eto, Joseph H.; Undrill, John; Mackin, Peter; Daschmans, Ron; Williams, Ben; Haney, Brian; Hunt, Randall; Ellis, Jeff; Illian, Howard; Martinez, Carlos; O'Malley, Mark; Coughlin, Katie; LaCommare, Kristina Hamachi

    2010-12-20

    An interconnected electric power system is a complex system that must be operated within a safe frequency range in order to reliably maintain the instantaneous balance between generation and load. This is accomplished by ensuring that adequate resources are available to respond to expected and unexpected imbalances and restoring frequency to its scheduled value in order to ensure uninterrupted electric service to customers. Electrical systems must be flexible enough to reliably operate under a variety of"change" scenarios. System planners and operators must understand how other parts of the system change in response to the initial change, and need tools to manage such changes to ensure reliable operation within the scheduled frequency range. This report presents a systematic approach to identifying metrics that are useful for operating and planning a reliable system with increased amounts of variable renewable generation which builds on existing industry practices for frequency control after unexpected loss of a large amount of generation. The report introduces a set of metrics or tools for measuring the adequacy of frequency response within an interconnection. Based on the concept of the frequency nadir, these metrics take advantage of new information gathering and processing capabilities that system operators are developing for wide-area situational awareness. Primary frequency response is the leading metric that will be used by this report to assess the adequacy of primary frequency control reserves necessary to ensure reliable operation. It measures what is needed to arrest frequency decline (i.e., to establish frequency nadir) at a frequency higher than the highest set point for under-frequency load shedding within an interconnection. These metrics can be used to guide the reliable operation of an interconnection under changing circumstances.

  1. Accredited Certifications Bring a Higher Level of Quality to...

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

    Recognized as the gold standard, ISO 17024 accreditation of the HEP certifications allows consumers and program administrators to validate contractor experience with credentials ...

  2. Evaluation of metrics and baselines for tracking greenhouse gas emissions trends: Recommendations for the California climate action registry

    SciTech Connect (OSTI)

    Price, Lynn; Murtishaw, Scott; Worrell, Ernst

    2003-06-01

    Executive Summary: The California Climate Action Registry, which was initially established in 2000 and began operation in Fall 2002, is a voluntary registry for recording annual greenhouse gas (GHG) emissions. The purpose of the Registry is to assist California businesses and organizations in their efforts to inventory and document emissions in order to establish a baseline and to document early actions to increase energy efficiency and decrease GHG emissions. The State of California has committed to use its ''best efforts'' to ensure that entities that establish GHG emissions baselines and register their emissions will receive ''appropriate consideration under any future international, federal, or state regulatory scheme relating to greenhouse gas emissions.'' Reporting of GHG emissions involves documentation of both ''direct'' emissions from sources that are under the entity's control and indirect emissions controlled by others. Electricity generated by an off-site power source is consider ed to be an indirect GHG emission and is required to be included in the entity's report. Registry participants include businesses, non-profit organizations, municipalities, state agencies, and other entities. Participants are required to register the GHG emissions of all operations in California, and are encouraged to report nationwide. For the first three years of participation, the Registry only requires the reporting of carbon dioxide (CO2) emissions, although participants are encouraged to report the remaining five Kyoto Protocol GHGs (CH4, N2O, HFCs, PFCs, and SF6). After three years, reporting of all six Kyoto GHG emissions is required. The enabling legislation for the Registry (SB 527) requires total GHG emissions to be registered and requires reporting of ''industry-specific metrics'' once such metrics have been adopted by the Registry. The Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) was asked to provide technical assistance to the California Energy Commission (Energy Commission) related to the Registry in three areas: (1) assessing the availability and usefulness of industry-specific metrics, (2) evaluating various methods for establishing baselines for calculating GHG emissions reductions related to specific actions taken by Registry participants, and (3) establishing methods for calculating electricity CO2 emission factors. The third area of research was completed in 2002 and is documented in Estimating Carbon Dioxide Emissions Factors for the California Electric Power Sector (Marnay et al., 2002). This report documents our findings related to the first areas of research. For the first area of research, the overall objective was to evaluate the metrics, such as emissions per economic unit or emissions per unit of production that can be used to report GHG emissions trends for potential Registry participants. This research began with an effort to identify methodologies, benchmarking programs, inventories, protocols, and registries that u se industry-specific metrics to track trends in energy use or GHG emissions in order to determine what types of metrics have already been developed. The next step in developing industry-specific metrics was to assess the availability of data needed to determine metric development priorities. Berkeley Lab also determined the relative importance of different potential Registry participant categories in order to asses s the availability of sectoral or industry-specific metrics and then identified industry-specific metrics in use around the world. While a plethora of metrics was identified, no one metric that adequately tracks trends in GHG emissions while maintaining confidentiality of data was identified. As a result of this review, Berkeley Lab recommends the development of a GHG intensity index as a new metric for reporting and tracking GHG emissions trends.Such an index could provide an industry-specific metric for reporting and tracking GHG emissions trends to accurately reflect year to year changes while protecting proprietary data. This GHG intensity index changes while protecting proprietary data. This GHG intensity index would provide Registry participants with a means for demonstrating improvements in their energy and GHG emissions per unit of production without divulging specific values. For the second research area, Berkeley Lab evaluated various methods used to calculate baselines for documentation of energy consumption or GHG emissions reductions, noting those that use industry-specific metrics. Accounting for actions to reduce GHGs can be done on a project-by-project basis or on an entity basis. Establishing project-related baselines for mitigation efforts has been widely discussed in the context of two of the so-called ''flexible mechanisms'' of the Kyoto Protocol to the United Nations Framework Convention on Climate Change (Kyoto Protocol) Joint Implementation (JI) and the Clean Development Mechanism (CDM).

  3. Quality Assurance | Jefferson Lab

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

    Quality Assurance Is A Key Focus At Jefferson Lab Quality assurance is a critical function at Jefferson Lab, protecting workers, lab facilities, the environment and the public. A D D I T I O N A L L I N K S: Quality Home Lessons Learned Quality Plan ESH&Q Home top-right bottom-left-corner bottom-right-corner Quality Assurance The Quality Assurance & Continuous Improvement Department has the critical role of working with the U.S. Department of Energy and other regulators on the

  4. Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing

    SciTech Connect (OSTI)

    Price, Phillip N.; Granderson, Jessica; Sohn, Michael; Addy, Nathan; Jump, David

    2013-09-01

    The overarching goal of this work is to advance the capabilities of technology evaluators in evaluating the building-level baseline modeling capabilities of Energy Management and Information System (EMIS) software. Through their customer engagement platforms and products, EMIS software products have the potential to produce whole-building energy savings through multiple strategies: building system operation improvements, equipment efficiency upgrades and replacements, and inducement of behavioral change among the occupants and operations personnel. Some offerings may also automate the quantification of whole-building energy savings, relative to a baseline period, using empirical models that relate energy consumption to key influencing parameters, such as ambient weather conditions and building operation schedule. These automated baseline models can be used to streamline the whole-building measurement and verification (M&V) process, and therefore are of critical importance in the context of multi-measure whole-building focused utility efficiency programs. This report documents the findings of a study that was conducted to begin answering critical questions regarding quantification of savings at the whole-building level, and the use of automated and commercial software tools. To evaluate the modeling capabilities of EMIS software particular to the use case of whole-building savings estimation, four research questions were addressed: 1. What is a general methodology that can be used to evaluate baseline model performance, both in terms of a) overall robustness, and b) relative to other models? 2. How can that general methodology be applied to evaluate proprietary models that are embedded in commercial EMIS tools? How might one handle practical issues associated with data security, intellectual property, appropriate testing blinds, and large data sets? 3. How can buildings be pre-screened to identify those that are the most model-predictable, and therefore those whose savings can be calculated with least error? 4. What is the state of public domain models, that is, how well do they perform, and what are the associated implications for whole-building measurement and verification (M&V)? Additional project objectives that were addressed as part of this study include: (1) clarification of the use cases and conditions for baseline modeling performance metrics, benchmarks and evaluation criteria, (2) providing guidance for determining customer suitability for baseline modeling, (3) describing the portfolio level effects of baseline model estimation errors, (4) informing PG&Es development of EMIS technology product specifications, and (5) providing the analytical foundation for future studies about baseline modeling and saving effects of EMIS technologies. A final objective of this project was to demonstrate the application of the methodology, performance metrics, and test protocols with participating EMIS product vendors.

  5. IT Quality Assurance

    Broader source: Energy.gov [DOE]

    Quality, error-free work holds down costs. Avoiding mistakes and rework saves valuable time, effort, and materials. Quality assurance provides the mechanisms for paying close attention to details...

  6. Downhole steam quality measurement

    DOE Patents [OSTI]

    Lee, David O. (Albuquerque, NM); Montoya, Paul C. (Albuquerque, NM); Muir, James F. (Albuquerque, NM); Wayland, Jr., J. Robert (Albuquerque, NM)

    1987-01-01

    An empirical method for the remote sensing of steam quality that can be easily adapted to downhole steam quality measurements by measuring the electrical properties of two-phase flow across electrode grids at low frequencies.

  7. Quality Work Plan Update

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

    1 | Energy Efficiency and Renewable Energy eere.energy.gov ACI Detroit Quality Work Plan Update April 2014 QWP: Background Culmination of a multi-year investment aimed at demonstrating quality and accountability in the WAP Taking action on lessons learned through various quality assurance reviews Establishing WAP as a national leader in technical resources and quality assurance Improving long term sustainability by building the foundation of the national industry with WAP at the core 2

  8. Simulation information regarding Sandia National Laboratories%3CU%2B2019%3E trinity capability improvement metric.

    SciTech Connect (OSTI)

    Agelastos, Anthony Michael; Lin, Paul T.

    2013-10-01

    Sandia National Laboratories, Los Alamos National Laboratory, and Lawrence Livermore National Laboratory each selected a representative simulation code to be used as a performance benchmark for the Trinity Capability Improvement Metric. Sandia selected SIERRA Low Mach Module: Nalu, which is a uid dynamics code that solves many variable-density, acoustically incompressible problems of interest spanning from laminar to turbulent ow regimes, since it is fairly representative of implicit codes that have been developed under ASC. The simulations for this metric were performed on the Cielo Cray XE6 platform during dedicated application time and the chosen case utilized 131,072 Cielo cores to perform a canonical turbulent open jet simulation within an approximately 9-billion-elementunstructured- hexahedral computational mesh. This report will document some of the results from these simulations as well as provide instructions to perform these simulations for comparison.

  9. How to implement a quality program in a coking plant. The AHMSA experience

    SciTech Connect (OSTI)

    Reyes M, M.A.; Perez, J.L.; Garza, C. de la; Morales, M.

    1995-12-01

    AHMSA (Altos Hornos de Mexico) is the largest integrated Steel Plant in Mexico, with its 3.1 MMMT of Liquid Steel production program for 1995. AHMSA operates two coke plants which began operations in 1955 and 1976. Total coke monthly production capacity amounts to as much as 106,000 Metric Tons (MT). The coke plants working philosophy was discussed and established in 1986 as part of the Quality Improvement Program, where its ultimate goal is to give the best possible coke quality to its main client--the blast furnaces. With this goal in mind, a planned joint effort with their own coal mines was initiated. This paper deals with the implementation process of the Quality Program, and the results of this commitment at the coal mines, coke plants and blast furnaces. The coke quality improvement is shown since 1985 to 1994, as well as the impact on the blast furnace operation.

  10. Assuring quality in high-consequence engineering

    SciTech Connect (OSTI)

    Hoover, Marcey L.; Kolb, Rachel R.

    2014-03-01

    In high-consequence engineering organizations, such as Sandia, quality assurance may be heavily dependent on staff competency. Competency-dependent quality assurance models are at risk when the environment changes, as it has with increasing attrition rates, budget and schedule cuts, and competing program priorities. Risks in Sandia's competency-dependent culture can be mitigated through changes to hiring, training, and customer engagement approaches to manage people, partners, and products. Sandia's technical quality engineering organization has been able to mitigate corporate-level risks by driving changes that benefit all departments, and in doing so has assured Sandia's commitment to excellence in high-consequence engineering and national service.

  11. Downhole steam quality measurement

    DOE Patents [OSTI]

    Lee, D.O.; Montoya, P.C.; Muir, J.F.; Wayland, J.R. Jr.

    1985-06-19

    The present invention relates to an empirical electrical method for remote sensing of steam quality utilizing flow-through grids which allow measurement of the electrical properties of a flowing two-phase mixture. The measurement of steam quality in the oil field is important to the efficient application of steam assisted recovery of oil. Because of the increased energy content in higher quality steam it is important to maintain the highest possible steam quality at the injection sandface. The effectiveness of a steaming operation without a measure of steam quality downhole close to the point of injection would be difficult to determine. Therefore, a need exists for the remote sensing of steam quality.

  12. Report: EM Quality Assurance

    Office of Environmental Management (EM)

    EM QUALITY ASSURANCE September 25, 2008 Submitted by the EMAB Quality Assurance Subcommittee Background: In Fiscal Year (FY) 2008, the Environmental Management Advisory Board (EMAB) was tasked to dialogue with the Office of Quality Assurance (EM-60, QA) as it works to revitalize standards and institutionalize QA into Departmental and EM processes. In addition, EMAB was directed to dialogue with EM-60 on incorporating QA and engineering into the procurement process. Board members reviewed and

  13. New Pathways and Metrics for Enhanced, Reversible Hydrogen Storage in Boron-Doped Carbon Nanospaces

    SciTech Connect (OSTI)

    Pfeifer, Peter; Wexler, Carlos; Hawthorne, M. Frederick; Lee, Mark W.; Jalistegi, Satish S.

    2014-08-14

    This project, since its start in 2007entitled Networks of boron-doped carbon nanopores for low-pressure reversible hydrogen storage (2007-10) and New pathways and metrics for enhanced, reversible hydrogen storage in boron-doped carbon nanospaces (2010-13)is in support of the DOE's National Hydrogen Storage Project, as part of the DOE Hydrogen and Fuel Cells Programs comprehensive efforts to enable the widespread commercialization of hydrogen and fuel cell technologies in diverse sectors of the economy. Hydrogen storage is widely recognized as a critical enabling technology for the successful commercialization and market acceptance of hydrogen powered vehicles. Storing sufficient hydrogen on board a wide range of vehicle platforms, at energy densities comparable to gasoline, without compromising passenger or cargo space, remains an outstanding technical challenge. Of the main three thrust areas in 2007metal hydrides, chemical hydrogen storage, and sorption-based hydrogen storagesorption-based storage, i.e., storage of molecular hydrogen by adsorption on high-surface-area materials (carbons, metal-organic frameworks, and other porous organic networks), has emerged as the most promising path toward achieving the 2017 DOE storage targets of 0.055 kg H2/kg system (5.5 wt%) and 0.040 kg H2/liter system. The objective of the project is to develop high-surface-area carbon materials that are boron-doped by incorporation of boron into the carbon lattice at the outset, i.e., during the synthesis of the material. The rationale for boron-doping is the prediction that boron atoms in carbon will raise the binding energy of hydro- gen from 4-5 kJ/mol on the undoped surface to 10-14 kJ/mol on a doped surface, and accordingly the hydro- gen storage capacity of the material. The mechanism for the increase in binding energy is electron donation from H2 to electron-deficient B atoms, in the form of sp2 boron-carbon bonds. Our team is proud to have demonstrated the predicted increase in binding energy experimentally, currently at ~10 kJ/mol. The synthetic route for incorporation of boron at the outset is to create appropriately designed copoly- mers, with a boron-free and a boron-carrying monomer, followed by pyrolysis of the polymer, yielding a bo- ron-substituted carbon scaffold in which boron atoms are bonded to carbon atoms by synthesis. This is in contrast to a second route (funded by DE-FG36-08GO18142) in which first high-surface area carbon is cre- ated and doped by surface vapor deposition of boron, with incorporation of the boron into the lattice the final step of the fabrication. The challenge in the first route is to create high surface areas without compromising sp2 boron-carbon bonds. The challenge in the second route is to create sp2 boron-carbon bonds without com- promising high surface areas.

  14. 222-S laboratory quality assurance plan

    SciTech Connect (OSTI)

    Meznarich, H.K.

    1995-04-01

    This document provides quality assurance guidelines and quality control requirements for analytical services. This document is designed on the basis of Hanford Analytical Services Quality Assurance Plan (HASQAP) technical guidelines and is used for governing 222-S and 222-SA analytical and quality control activities. The 222-S Laboratory provides analytical services to various clients including, but not limited to, waste characterization for the Tank Waste Remediation Systems (TWRS), waste characterization for regulatory waste treatment, storage, and disposal (TSD), regulatory compliance samples, radiation screening, process samples, and TPA samples. A graded approach is applied on the level of sample custody, QC, data verification, and data reporting to meet the specific needs of the client.

  15. Levelized Cost of Coating (LCOC) for selective absorber materials

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

    Ho, Clifford K.; Pacheco, James E.

    2014-08-08

    A new metric has been developed to evaluate and compare selective absorber coatings for concentrating solar power applications. Previous metrics have typically considered the performance of the selective coating (i.e., solar absorptance and thermal emittance), but cost and durability were not considered. This report describes the development of the levelized cost of coating (LCOC), which is similar to the levelized cost of energy (LCOE) commonly used to evaluate alternative energy technologies. The LCOC is defined as the ratio of the annualized cost of the coating (and associated costs such as labor and number of heliostats required) to the average annualmore » thermal energy produced by the receiver. The baseline LCOC using Pyromark 2500 paint was found to be %240.055/MWht, and the distribution of LCOC values relative to this baseline were determined in a probabilistic analysis to range from -%241.6/MWht to %247.3/MWht, accounting for the cost of additional (or fewer) heliostats required to yield the same baseline average annual thermal energy produced by the receiver. A stepwise multiple rank regression analysis showed that the initial solar absorptance was the most significant parameter impacting the LCOC, followed by thermal emittance, degradation rate, reapplication interval, and downtime during reapplication.« less

  16. Levelized Cost of Coating (LCOC) for selective absorber materials

    SciTech Connect (OSTI)

    Ho, Clifford K.; Pacheco, James E.

    2014-08-08

    A new metric has been developed to evaluate and compare selective absorber coatings for concentrating solar power applications. Previous metrics have typically considered the performance of the selective coating (i.e., solar absorptance and thermal emittance), but cost and durability were not considered. This report describes the development of the levelized cost of coating (LCOC), which is similar to the levelized cost of energy (LCOE) commonly used to evaluate alternative energy technologies. The LCOC is defined as the ratio of the annualized cost of the coating (and associated costs such as labor and number of heliostats required) to the average annual thermal energy produced by the receiver. The baseline LCOC using Pyromark 2500 paint was found to be %240.055/MWht, and the distribution of LCOC values relative to this baseline were determined in a probabilistic analysis to range from -%241.6/MWht to %247.3/MWht, accounting for the cost of additional (or fewer) heliostats required to yield the same baseline average annual thermal energy produced by the receiver. A stepwise multiple rank regression analysis showed that the initial solar absorptance was the most significant parameter impacting the LCOC, followed by thermal emittance, degradation rate, reapplication interval, and downtime during reapplication.

  17. Quality Assurance Specialist

    Broader source: Energy.gov [DOE]

    This position is located in the Office of the Assistant Secretary for Environmental Management (EM), Office of Standards and Quality Assurance. The EM mission is to achieve safe and compliant...

  18. Software Quality Assurance

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

    2000-10-02

    DOE N 251.40, dated 5/3/01, extends this directive until 12/31/01. To define requirements and responsibilities for software quality assurance (SQA) within the Department of Energy (DOE). Does not cancel other directives.

  19. Software Quality Assurance

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

    2000-10-02

    To define requirements and responsibilities for software quality assurance (SQA) within the Department of Energy (DOE). DOE N 251.40, dated 5/3/01, extends this directive until 12/31/01.

  20. Quality Assurance Corporate Board

    Broader source: Energy.gov [DOE]

    The Office of Environmental Management (EM) Quality Assurance Corporate Board is an executive board that includes both senior U.S. Department of Energy (DOE) and contractor representatives who are...

  1. Quality Assurance Program Guide

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

    2011-08-16

    This Guide provides information on principles, requirements, and practices used to establish and implement an effective Quality Assurance Program. Admin Chg 2, dated 5-8-13, Admin Chg 1.

  2. Retrospective evaluation of dosimetric quality for prostate carcinomas treated with 3D conformal, intensity modulated and volumetric modulated arc radiotherapy

    SciTech Connect (OSTI)

    Crowe, Scott B; Kairn, Tanya; Middlebrook, Nigel; Hill, Brendan; Christie, David R H; Knight, Richard T; Kenny, John; Langton, Christian M; Trapp, Jamie V

    2013-12-15

    This study examines and compares the dosimetric quality of radiotherapy treatment plans for prostate carcinoma across a cohort of 163 patients treated across five centres: 83 treated with three-dimensional conformal radiotherapy (3DCRT), 33 treated with intensity modulated radiotherapy (IMRT) and 47 treated with volumetric modulated arc therapy (VMAT). Treatment plan quality was evaluated in terms of target dose homogeneity and organs at risk (OAR), through the use of a set of dose metrics. These included the mean, maximum and minimum doses; the homogeneity and conformity indices for the target volumes; and a selection of dose coverage values that were relevant to each OAR. Statistical significance was evaluated using two-tailed Welch's T-tests. The Monte Carlo DICOM ToolKit software was adapted to permit the evaluation of dose metrics from DICOM data exported from a commercial radiotherapy treatment planning system. The 3DCRT treatment plans offered greater planning target volume dose homogeneity than the other two treatment modalities. The IMRT and VMAT plans offered greater dose reduction in the OAR: with increased compliance with recommended OAR dose constraints, compared to conventional 3DCRT treatments. When compared to each other, IMRT and VMAT did not provide significantly different treatment plan quality for like-sized tumour volumes. This study indicates that IMRT and VMAT have provided similar dosimetric quality, which is superior to the dosimetric quality achieved with 3DCRT.

  3. Development of Metric for Measuring the Impact of RD&D Funding on GTO's Geothermal Exploration Goals (Presentation)

    SciTech Connect (OSTI)

    Jenne, S.; Young, K. R.; Thorsteinsson, H.

    2013-04-01

    The Department of Energy's Geothermal Technologies Office (GTO) provides RD&D funding for geothermal exploration technologies with the goal of lowering the risks and costs of geothermal development and exploration. In 2012, NREL was tasked with developing a metric to measure the impacts of this RD&D funding on the cost and time required for exploration activities. The development of this metric included collecting cost and time data for exploration techniques, creating a baseline suite of exploration techniques to which future exploration and cost and time improvements could be compared, and developing an online tool for graphically showing potential project impacts (all available at http://en.openei.org/wiki/Gateway:Geothermal). The conference paper describes the methodology used to define the baseline exploration suite of techniques (baseline), as well as the approach that was used to create the cost and time data set that populates the baseline. The resulting product, an online tool for measuring impact, and the aggregated cost and time data are available on the Open EI website for public access (http://en.openei.org).

  4. User's Guide to Pre-Processing Data in Universal Translator 2 for the Energy Charting and Metrics Tool (ECAM)

    SciTech Connect (OSTI)

    Taasevigen, Danny J.

    2011-11-30

    This document is a user's guide for the Energy Charting and Metrics Tool to facilitate the examination of energy information from buildings, reducing the time spent analyzing trend and utility meter data. This user guide was generated to help pre-process data with the intention of utilizing the Energy Charting and Metrics (ECAM) tool to improve building operational efficiency. There are numerous occasions when the metered data that is received from the building automation system (BAS) isn't in the right format acceptable for ECAM. This includes, but isn't limited to, cases such as inconsistent time-stamps for the trends (e.g., each trend has its own time-stamp), data with holes (e.g., some time-stamps have data and others are missing data), each point in the BAS is trended and exported into an individual .csv or .txt file, the time-stamp is unrecognizable by ECAM, etc. After reading through this user guide, the user should be able to pre-process all data files and be ready to use this data in ECAM to improve their building operational efficiency.

  5. The social values at risk from sea-level rise

    SciTech Connect (OSTI)

    Graham, Sonia; Barnett, Jon; Fincher, Ruth; Hurlimann, Anna; Mortreux, Colette; Waters, Elissa

    2013-07-15

    Analysis of the risks of sea-level rise favours conventionally measured metrics such as the area of land that may be subsumed, the numbers of properties at risk, and the capital values of assets at risk. Despite this, it is clear that there exist many less material but no less important values at risk from sea-level rise. This paper re-theorises these multifarious social values at risk from sea-level rise, by explaining their diverse nature, and grounding them in the everyday practices of people living in coastal places. It is informed by a review and analysis of research on social values from within the fields of social impact assessment, human geography, psychology, decision analysis, and climate change adaptation. From this we propose that it is the lived values of coastal places that are most at risk from sea-level rise. We then offer a framework that groups these lived values into five types: those that are physiological in nature, and those that relate to issues of security, belonging, esteem, and self-actualisation. This framework of lived values at risk from sea-level rise can guide empirical research investigating the social impacts of sea-level rise, as well as the impacts of actions to adapt to sea-level rise. It also offers a basis for identifying the distribution of related social outcomes across populations exposed to sea-level rise or sea-level rise policies.

  6. Keys to Successful Quality Assurance and Quality Control Programs (101)

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Peer Exchange Call Series: Keys to Successful Quality Assurance and Quality Control Programs (101), call slides and discussion summary.

  7. Air Quality | Open Energy Information

    Open Energy Info (EERE)

    Air Quality Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleAirQuality&oldid612070" Feedback Contact needs updating Image needs updating...

  8. Environmental Management (EM) Quality Procedures

    Broader source: Energy.gov [DOE]

    Formal EM Quality Procedures that assist the Office of Standards and Quality Assurance personnel during the execution and operation of its activities.

  9. Baseline air quality study at Fermilab

    SciTech Connect (OSTI)

    Dave, M.J.; Charboneau, R.

    1980-10-01

    Air quality and meteorological data collected at Fermi National Accelerator Laboratory are presented. The data represent baseline values for the pre-construction phase of a proposed coal-gasification test facility. Air quality data were characterized through continuous monitoring of gaseous pollutants, collection of meteorological data, data acquisition and reduction, and collection and analysis of discrete atmospheric samples. Seven air quality parameters were monitored and recorded on a continuous real-time basis: sulfur dioxide, ozone, total hydrocarbons, nonreactive hydrocarbons, nitric oxide, nitrogen oxides, and carbon monoxide. A 20.9-m tower was erected near Argonne's mobile air monitoring laboratory, which was located immediately downwind of the proposed facility. The tower was instrumented at three levels to collect continuous meteorological data. Wind speed was monitored at three levels; wind direction, horizontal and vertical, at the top level; ambient temperature at the top level; and differential temperature between all three levels. All continuously-monitored parameters were digitized and recorded on magnetic tape. Appropriate software was prepared to reduce the data. Statistical summaries, grphical displays, and correlation studies also are presented.

  10. Hydrogen Fuel Quality - Focus: Analytical Methods Development...

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

    Fuel Quality - Focus: Analytical Methods Development & Hydrogen Fuel Quality Results Hydrogen Fuel Quality - Focus: Analytical Methods Development & Hydrogen Fuel Quality Results...

  11. Table B1. Summary statistics for natural gas in the United States, metric equivalents, 2010-2014

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

    8 Table B1. Summary statistics for natural gas in the United States, metric equivalents, 2010-2014 See footnotes at end of table. Number of Wells Producing at End of Year 487,627 514,637 482,822 R 484,994 514,786 Production (million cubic meters) Gross Withdrawals From Gas Wells 375,127 348,044 354,080 R 304,676 294,045 From Oil Wells 165,220 167,294 140,617 R 153,044 167,695 From Coalbed Wells 54,277 50,377 43,591 R 40,374 36,392 From Shale Gas Wells 164,723 240,721 298,257 R 337,891 389,474

  12. On use of CO{sub 2} chemiluminescence for combustion metrics in natural gas fired reciprocating engines.

    SciTech Connect (OSTI)

    Gupta, S. B.; Bihari, B.; Biruduganti, M.; Sekar, R.; Zigan, J.

    2011-01-01

    Flame chemiluminescence is widely acknowledged to be an indicator of heat release rate in premixed turbulent flames that are representative of gas turbine combustion. Though heat release rate is an important metric for evaluating combustion strategies in reciprocating engine systems, its correlation with flame chemiluminescence is not well studied. To address this gap an experimental study was carried out in a single-cylinder natural gas fired reciprocating engine that could simulate turbocharged conditions with exhaust gas recirculation. Crank angle resolved spectra (266-795 nm) of flame luminosity were measured for various operational conditions by varying the ignition timing for MBT conditions and by holding the speed at 1800 rpm and Brake Mean effective Pressure (BMEP) at 12 bar. The effect of dilution on CO*{sub 2}chemiluminescence intensities was studied, by varying the global equivalence ratio (0.6-1.0) and by varying the exhaust gas recirculation rate. It was attempted to relate the measured chemiluminescence intensities to thermodynamic metrics of importance to engine research -- in-cylinder bulk gas temperature and heat release rate (HRR) calculated from measured cylinder pressure signals. The peak of the measured CO*{sub 2} chemiluminescence intensities coincided with peak pressures within {+-}2 CAD for all test conditions. For each combustion cycle, the peaks of heat release rate, spectral intensity and temperature occurred in that sequence, well separated temporally. The peak heat release rates preceded the peak chemiluminescent emissions by 3.8-9.5 CAD, whereas the peak temperatures trailed by 5.8-15.6 CAD. Such a temporal separation precludes correlations on a crank-angle resolved basis. However, the peak cycle heat release rates and to a lesser extent the peak cycle temperatures correlated well with the chemiluminescent emission from CO*{sub 2}. Such observations point towards the potential use of flame chemiluminescence to monitor peak bulk gas temperatures as well as peak heat release rates in natural gas fired reciprocating engines.

  13. Office of Quality Management

    Broader source: Energy.gov [DOE]

    The Office of Quality Management develops and interprets Government-wide policies and procedures and conducts training to ensure the accurate identification of information and documents that must be classified or controlled under statute or Executive order to protect the national security and controlled unclassified Official Use Only information for the effective operation of the Government.

  14. Quality Assurance Program Guide

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

    2011-08-16

    This Guide provides information on principles, requirements, and practices used to establish and implement an effective Quality Assurance Program. Cancels DOE G 414.1-2A, DOE G 414.1-3 and DOE G 414.1-5. Admin Chg 1, dated 9-27-11. Admin Chg 2, dated 5-8-13.

  15. Quality Assurance Program Guide

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

    2011-08-16

    The directive provides guidance for DOE elements and contractors in developing and implementing an effective Quality Assurance Program. Cancels DOE G 414.1-2A, DOE G 414.1-3 and DOE G 414.1-5. Superseded by Admin Chg 1, 9-27-11.

  16. Quality Assurance | Department of Energy

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

    Quality Assurance Quality Assurance QUALITY ASSURANCE IN THE DEPARTMENT OF ENERGY When properly implemented, the principles and requirements form a management system to plan, perform, assess, and improve work. The requirements are performance oriented and offer implementation flexibility. The DOE quality management system moves beyond the traditional quality assurance requirements that had become narrowly focused on compliance, and inspections. The management system is designed to link with an

  17. Level III Mentoring Requirement

    Broader source: Energy.gov [DOE]

    Level III applicants must be mentored (minimum of six months) by a Level III or IV FPD or demonstrate equivalency (see below Competency 3.12.2 in the PMCDP's CEG). A formal mentoring agreement must...

  18. Company Level Imports Archives

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

    Company Level Imports Company Level Imports Archives 2015 Imports by Month January XLS February XLS March XLS April XLS May XLS June XLS July XLS August XLS September XLS October...

  19. Tables of Energy Levels

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

    of Energy Levels The Image Map below will direct you to the table of energy levels PDF format only for that particular nuclide from the most recent publication found within...

  20. Liquid level detector

    DOE Patents [OSTI]

    Grasso, A.P.

    1984-02-21

    A liquid level detector for low pressure boilers. A boiler tank, from which vapor, such as steam, normally exits via a main vent, is provided with a vertical side tube connected to the tank at the desired low liquid level. When the liquid level falls to the level of the side tube vapor escapes therethrough causing heating of a temperature sensitive device located in the side tube, which, for example, may activate a liquid supply means for adding liquid to the boiler tank. High liquid level in the boiler tank blocks entry of vapor into the side tube, allowing the temperature sensitive device to cool, for example, to ambient temperature.

  1. Liquid level detector

    DOE Patents [OSTI]

    Grasso, Albert P.

    1986-01-01

    A liquid level detector for low pressure boilers. A boiler tank, from which apor, such as steam, normally exits via a main vent, is provided with a vertical side tube connected to the tank at the desired low liquid level. When the liquid level falls to the level of the side tube vapor escapes therethrough causing heating of a temperature sensitive device located in the side tube, which, for example, may activate a liquid supply means for adding liquid to the boiler tank. High liquid level in the boiler tank blocks entry of vapor into the side tube, allowing the temperature sensitive device to cool, for example, to ambient temperature.

  2. Beyond Human Capital Development: Balanced Safeguards Workforce Metrics and the Next Generation Safeguards Workforce

    SciTech Connect (OSTI)

    Burbank, Roberta L.; Frazar, Sarah L.; Gitau, Ernest TN; Shergur, Jason M.; Scholz, Melissa A.; Undem, Halvor A.

    2014-03-28

    Since its establishment in 2008, the Next Generation Safeguards Initiative (NGSI) has achieved a number of objectives under its five pillars: concepts and approaches, policy development and outreach, international nuclear safeguards engagement, technology development, and human capital development (HCD). As a result of these efforts, safeguards has become much more visible as a critical U.S. national security interest across the U.S. Department of Energy (DOE) complex. However, limited budgets have since created challenges in a number of areas. Arguably, one of the more serious challenges involves NGSIs ability to integrate entry-level staff into safeguards projects. Laissez fair management of this issue across the complex can lead to wasteful project implementation and endanger NGSIs long-term sustainability. The authors provide a quantitative analysis of this problem, focusing on the demographics of the current safeguards workforce and compounding pressures to operate cost-effectively, transfer knowledge to the next generation of safeguards professionals, and sustain NGSI safeguards investments.

  3. Letter on Low-Level Radiation Research | Department of Energy

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

    Letter on Low-Level Radiation Research Letter on Low-Level Radiation Research The Secretary of Energy Advisory Board (SEAB) transmitted a letter to the Department regarding its perspective on how DOE should pursue research on low-level radiation. SEAB recommends DOE continue to sponsor a small, sustained, high quality research program primarily in DOE laboratories as well as centers of excellence within universities, medical schools, and hospitals. PDF icon SEAB Letter on Low-Level Radiation

  4. SU-E-T-379: Concave Approximations of Target Volume Dose Metrics for Intensity- Modulated Radiotherapy Treatment Planning

    SciTech Connect (OSTI)

    Xie, Y; Chen, Y; Wickerhauser, M; Deasy, J

    2014-06-01

    Purpose: The widely used treatment plan metric Dx (mimimum dose to the hottest x% by volume of the target volume) is simple to interpret and use, but is computationally poorly behaved (non-convex), this impedes its use in computationally efficient intensity-modulated radiotherapy (IMRT) treatment planning algorithms. We therefore searched for surrogate metrics that are concave, computationally efficient, and accurately correlated to Dx values in IMRT treatment plans. Methods: To find concave surrogates of D95and more generally, Dx values with variable x valueswe tested equations containing one or two generalized equivalent uniform dose (gEUD) functions. Fits were obtained by varying gEUD a parameter values, as well as the linear equation coefficients. Fitting was performed using a dataset of dose-volume histograms from 498 de-identified head and neck IMRT treatment plans. Fit characteristics were tested using a crossvalidation process. Reported root-mean-square error values were averaged over the cross-validation shuffles. Results: As expected, the two-gEUD formula provided a superior fit, compared to the single-gEUD formula. The best approximation uses two gEUD terms: 16.25 x gEUD[a=0.45] 15.30 x gEUD[a=1.75] 0.69. The average root-mean-square error on repeated (70/30) cross validation was 0.94 Gy. In addition, a formula was found that reasonably approximates Dx for x between 80% and 96%. Conclusion: A simple concave function using two gEUD terms was found that correlates well with PTV D95s for these head and neck treatment plans. More generally, a formula was found that represents well the Dx for x values from 80% to 96%, thus providing a computationally efficient formula for use in treatment planning optimization. The formula may need to be adjusted for other institutions with different treatment planning protocols. We conclude that the strategy of replacing Dx values with gEUD-based formulas is promising.

  5. Tiltmeter leveling mechanism

    DOE Patents [OSTI]

    Hunter, Steven L. (Livermore, CA); Boro, Carl O. (Milpitas, CA); Farris, Alvis (late of Byron, CA)

    2002-01-01

    A tiltmeter device having a pair of orthogonally disposed tilt sensors that are levelable within an inner housing containing the sensors. An outer housing can be rotated to level at least one of the sensor pair while the inner housing can be rotated to level the other sensor of the pair. The sensors are typically rotated up to about plus or minus 100 degrees. The device is effective for measuring tilts in a wide range of angles of inclination of wells and can be employed to level a platform containing a third sensor.

  6. An Approach for Assessing the Signature Quality of Various Chemical Assays when Predicting the Culture Media Used to Grow Microorganisms

    SciTech Connect (OSTI)

    Holmes, Aimee E.; Sego, Landon H.; Webb-Robertson, Bobbie-Jo M.; Kreuzer, Helen W.; Anderson, Richard M.; Unwin, Stephen D.; Weimar, Mark R.; Tardiff, Mark F.; Corley, Courtney D.

    2013-02-01

    We demonstrate an approach for assessing the quality of a signature system designed to predict the culture medium used to grow a microorganism. The system was comprised of four chemical assays designed to identify various ingredients that could be used to produce the culture medium. The analytical measurements resulting from any combination of these four assays can be used in a Bayesian network to predict the probabilities that the microorganism was grown using one of eleven culture media. We evaluated combinations of the signature system by removing one or more of the assays from the Bayes network. We measured and compared the quality of the various Bayes nets in terms of fidelity, cost, risk, and utility, a method we refer to as Signature Quality Metrics

  7. 2011 Quality Council Annual Report

    Office of Energy Efficiency and Renewable Energy (EERE)

    DEPARTMENT OF ENERGY QUALITY COUNCIL ANNUAL REPORT For Calendar Year 2011 Office of Health Safety and Security

  8. 2010 Quality Council Annual Report

    Broader source: Energy.gov [DOE]

    DEPARTMENT OF ENERGY QUALITY COUNCIL ANNUAL REPORT For Calendar Year 2010 Office of Health Safety and Security

  9. Quality Work Plan Training Requirement

    Broader source: Energy.gov [DOE]

    Weatherization Assistance Program's comprehensive Quality Work Plan requirements and resources to meet this obligation in the field.

  10. Precision liquid level sensor

    DOE Patents [OSTI]

    Field, M.E.; Sullivan, W.H.

    1985-01-29

    A precision liquid level sensor utilizes a balanced R. F. bridge, each arm including an air dielectric line. Changes in liquid level along one air dielectric line imbalance the bridge and create a voltage which is directly measurable across the bridge. 2 figs.

  11. Precision liquid level sensor

    DOE Patents [OSTI]

    Field, Michael E. (Albuquerque, NM); Sullivan, William H. (Albuquerque, NM)

    1985-01-01

    A precision liquid level sensor utilizes a balanced R. F. bridge, each arm including an air dielectric line. Changes in liquid level along one air dielectric line imbalance the bridge and create a voltage which is directly measurable across the bridge.

  12. Underlying Quality Principles

    Broader source: Energy.gov [DOE]

    These principles are consistent with Integrated Safety Management Policy, P 450.4A and support ISM implementation. 1. Define Policies and Objectives--Ensure they are Understood and Accepted. Management must set expectations for the organization as a whole before employees can do their jobs, satisfy their customers, and strive to improve the quality of their work. This is accomplished by developing and implementing specific policies and objectives that reflect the operating philosophy of the facility's management. Once these policies and objectives have been established, all managers must take the necessary actions to ensure that each employee shares their vision of the organization's purpose.

  13. Groundwater Level Status Report for 2005 Los Alamos National Laboratory

    SciTech Connect (OSTI)

    S.P. Allen; R.J. Koch

    2006-05-15

    The status of groundwater level monitoring at Los Alamos National Laboratory (LANL) in 2005 is provided in this report. The Groundwater Level Monitoring Project was instituted in 2005 to provide a framework for the collection and processing of quality controlled groundwater level data. This report summarizes groundwater level data for 137 monitoring wells, including 41 regional aquifer wells, 22 intermediate wells, and 74 alluvial wells. Pressure transducers were installed in 118 monitoring wells for continuous monitoring of groundwater levels. Time-series hydrographs of groundwater level data are presented along with pertinent construction and location information for each well.

  14. Hanford analytical services quality assurance requirements documents

    SciTech Connect (OSTI)

    Hyatt, J.E.

    1997-09-25

    Hanford Analytical Services Quality Assurance Requirements Document (HASQARD) is issued by the Analytical Services, Program of the Waste Management Division, US Department of Energy (US DOE), Richland Operations Office (DOE-RL). The HASQARD establishes quality requirements in response to DOE Order 5700.6C (DOE 1991b). The HASQARD is designed to meet the needs of DOE-RL for maintaining a consistent level of quality for sampling and field and laboratory analytical services provided by contractor and commercial field and laboratory analytical operations. The HASQARD serves as the quality basis for all sampling and field/laboratory analytical services provided to DOE-RL through the Analytical Services Program of the Waste Management Division in support of Hanford Site environmental cleanup efforts. This includes work performed by contractor and commercial laboratories and covers radiological and nonradiological analyses. The HASQARD applies to field sampling, field analysis, and research and development activities that support work conducted under the Hanford Federal Facility Agreement and Consent Order Tri-Party Agreement and regulatory permit applications and applicable permit requirements described in subsections of this volume. The HASQARD applies to work done to support process chemistry analysis (e.g., ongoing site waste treatment and characterization operations) and research and development projects related to Hanford Site environmental cleanup activities. This ensures a uniform quality umbrella to analytical site activities predicated on the concepts contained in the HASQARD. Using HASQARD will ensure data of known quality and technical defensibility of the methods used to obtain that data. The HASQARD is made up of four volumes: Volume 1, Administrative Requirements; Volume 2, Sampling Technical Requirements; Volume 3, Field Analytical Technical Requirements; and Volume 4, Laboratory Technical Requirements. Volume 1 describes the administrative requirements applicable to each of the other three volumes and is intended to be used in conjunction with the technical volumes.

  15. First Steps Toward a Quality of Climate Finance Scorecard (QUODA-CF): Creating a Comparative Index to Assess International Climate Finance Contributions

    SciTech Connect (OSTI)

    Sierra, Katherine; Roberts, Timmons; de Nevers, Michele; Langley, Claire; Smith, Cory

    2013-06-15

    Are climate finance contributor countries, multilateral aid agencies and specialized funds using widely accepted best practices in foreign assistance? How is it possible to measure and compare international climate finance contributions when there are as yet no established metrics or agreed definitions of the quality of climate finance? As a subjective metric, quality can mean different things to different stakeholders, while of donor countries, recipients and institutional actors may place quality across a broad spectrum of objectives. This subjectivity makes the assessment of the quality of climate finance contributions a useful and necessary exercise, but one that has many challenges. This work seeks to enhance the development of common definitions and metrics of the quality of climate finance, to understand what we can about those areas where climate finance information is available and shine a light on the areas where there is a severe dearth of data. Allowing for comparisons of the use of best practices across funding institutions in the climate sector could begin a process of benchmarking performance, fostering learning across institutions and driving improvements when incorporated in internal evaluation protocols of those institutions. In the medium term, this kind of benchmarking and transparency could support fundraising in contributor countries and help build trust with recipient countries. As a feasibility study, this paper attempts to outline the importance of assessing international climate finance contributions while describing the difficulties in arriving at universally agreed measurements and indicators for assessment. In many cases, data are neither readily available nor complete, and there is no consensus on what should be included. A number of indicators are proposed in this study as a starting point with which to analyze voluntary contributions, but in some cases their methodologies are not complete, and further research is required for a robust measurement tool to be created.

  16. Quality Procedure - Audits | Department of Energy

    Energy Savers [EERE]

    Audits Quality Procedure - Audits This procedure establishes the responsibilities and process for scheduling, planning, performing, and reporting Quality Assurance (QA) audits of EM-QA-001, Environmental Management Quality Assurance Program implementation at EM Headquarters and Field Office programs, facilities and projects. PDF icon Quality Procedure - Audits More Documents & Publications Quality Procedure - Document Control Quality Procedure - Supplier Qualification Quality Procedure -

  17. Quality Procedure - Document Control | Department of Energy

    Energy Savers [EERE]

    Control Quality Procedure - Document Control This procedure establishes the responsibilities and process for preparing, managing, and revising EM Headquarters Office of Standards and Quality Assurance controlled documents in accordance with EM-QA-001, Environmental Management Quality Assurance Program. PDF icon Quality Procedure - Document Control More Documents & Publications Quality Procedure - Supplier Qualification Quality Procedure - Approved Suppliers List Quality Procedure - Records

  18. Air quality committee

    SciTech Connect (OSTI)

    Not Available

    1980-01-01

    Committees on air quality, coal, forest resources, and public lands and land use report on legislative, judicial, and administrative developments in 1979. There was no new significant air quality legislation, but a number of lawsuits raised questions about State Implementation Plans, prevention of significant deterioration, the Clean Air Act Amendments, new source performance standards, and motor vehicle emissions. Efforts to increase coal utilization emphasized implementation of the Power Plant and Industrial Fuel Use Act of 1978 and the Surface Mining Program. New legislation protects certain forest products from exploitation and exportation. Forest-related lawsuits focused on the RARE II process. Land-use legislation modified credit assistance to coastal zones and the language of interstate land sales, established a new agency to consolidate flood-insurance programs, and added protection to archaeological resources. Land-use-related lawsuits covered coastal zone management, interstate land sales, Indian reservations, and land-use planning in the context of civil rights, antitrust action, exclusionary zoning, comprehensive planning, and regional general welfare. Other suits addressed grants, leasing, claims, grazing rights, surveys, and other matters of public lands concern. Administrative actions centered on implementing the Coastal Zone Management Act, establishing the Council of Energy Resource Tribes, and developing guidelines for energy development. 147 references. (DCK)

  19. Renewables and air quality

    SciTech Connect (OSTI)

    Wooley, D.R.

    2000-08-01

    The US heavy reliance on fossil fuels is a central obstacle to improving air quality and preventing catastrophic climate change. To solve this problem will require a combination of financial incentives and market rules that strongly encourage development of renewable energy resources to meet electric power demand. One promising policy option is to allow renewable energy resources to directly participate in air pollution emission trading mechanisms. Currently, the clean air benefits of renewable energy generally go unrecognized by regulators, under-appreciated by consumers and uncompensated by markets. Renewable energy is a key clean air alternative to conventional electricity generation, and the development of renewables could be stimulated by changes to the Clean Air Act's emissions trading programs. As Congress revisits clean air issues over the next several years, renewable energy representatives could push for statutory changes that reward the renewable energy industry for the air quality benefits it provides. By also becoming involved in key US Environmental Protection Agency (EPA) and state rule-making cases, the renewables industry could influence the structure of emissions trading programs and strengthen one of the most persuasive arguments for wind, solar and biomass energy development.

  20. NIF Projects Controls and Information Systems Software Quality Assurance Plan

    SciTech Connect (OSTI)

    Fishler, B

    2011-03-18

    Quality achievement for the National Ignition Facility (NIF) and the National Ignition Campaign (NIC) is the responsibility of the NIF Projects line organization as described in the NIF and Photon Science Directorate Quality Assurance Plan (NIF QA Plan). This Software Quality Assurance Plan (SQAP) is subordinate to the NIF QA Plan and establishes quality assurance (QA) activities for the software subsystems within Controls and Information Systems (CIS). This SQAP implements an activity level software quality assurance plan for NIF Projects as required by the LLNL Institutional Software Quality Assurance Program (ISQAP). Planned QA activities help achieve, assess, and maintain appropriate quality of software developed and/or acquired for control systems, shot data systems, laser performance modeling systems, business applications, industrial control and safety systems, and information technology systems. The objective of this SQAP is to ensure that appropriate controls are developed and implemented for management planning, work execution, and quality assessment of the CIS organization's software activities. The CIS line organization places special QA emphasis on rigorous configuration control, change management, testing, and issue tracking to help achieve its quality goals.

  1. NREL Helps Establish New PV Quality Standards for Manufacturers - News

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

    Releases | NREL Helps Establish New PV Quality Standards for Manufacturers February 8, 2016 Working with partners around the world, researchers at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) have completed five years of work toward helping establish an international quality standard for manufacturing photovoltaic (PV) modules. PV manufacturers will use the new standard to increase the level of confidence investors, utilities, and consumers have in solar panel

  2. Cost and quality of fuels for electric plants 1993

    SciTech Connect (OSTI)

    Not Available

    1994-07-01

    The Cost and Quality of Fuels for Electric Utility Plants (C&Q) presents an annual summary of statistics at the national, Census division, State, electric utility, and plant levels regarding the quantity, quality, and cost of fossil fuels used to produce electricity. The purpose of this publication is to provide energy decision-makers with accurate and timely information that may be used in forming various perspectives on issues regarding electric power.

  3. ARM - Evaluation Product - Quality Controlled Eddy Correlation Flux

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

    (QCECOR) ProductsQuality Controlled Eddy Correlation Flux (QCECOR) Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Quality Controlled Eddy Correlation Flux (QCECOR) Eddy correlation flux measurement systems (ECOR) are used by ARM to provide surface turbulence flux measurements. With the help of the Recovery Act, ARM has

  4. Mid-Level Ethanol Blends | Department of Energy

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

    Mid-Level Ethanol Blends Mid-Level Ethanol Blends 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. PDF icon ft_05_knoll.pdf More Documents & Publications Mid-Level Ethanol Blends Test Program Biofuels Quality Surveys Effects of Intermediate Ethanol Blends on Legacy Vehicles and Small Non-Road Engines, Report 1 … Updated Feb 2009

  5. A Comparison of Image Quality Evaluation Techniques for Transmission X-Ray Microscopy

    SciTech Connect (OSTI)

    Bolgert, Peter J; /Marquette U. /SLAC

    2012-08-31

    Beamline 6-2c at Stanford Synchrotron Radiation Lightsource (SSRL) is capable of Transmission X-ray Microscopy (TXM) at 30 nm resolution. Raw images from the microscope must undergo extensive image processing before publication. Since typical data sets normally contain thousands of images, it is necessary to automate the image processing workflow as much as possible, particularly for the aligning and averaging of similar images. Currently we align images using the 'phase correlation' algorithm, which calculates the relative offset of two images by multiplying them in the frequency domain. For images containing high frequency noise, this algorithm will align noise with noise, resulting in a blurry average. To remedy this we multiply the images by a Gaussian function in the frequency domain, so that the algorithm ignores the high frequency noise while properly aligning the features of interest (FOI). The shape of the Gaussian is manually tuned by the user until the resulting average image is sharpest. To automatically optimize this process, it is necessary for the computer to evaluate the quality of the average image by quantifying its sharpness. In our research we explored two image sharpness metrics, the variance method and the frequency threshold method. The variance method uses the variance of the image as an indicator of sharpness while the frequency threshold method sums up the power in a specific frequency band. These metrics were tested on a variety of test images, containing both real and artificial noise. To apply these sharpness metrics, we designed and built a MATLAB graphical user interface (GUI) called 'Blur Master.' We found that it is possible for blurry images to have a large variance if they contain high amounts of noise. On the other hand, we found the frequency method to be quite reliable, although it is necessary to manually choose suitable limits for the frequency band. Further research must be performed to design an algorithm which automatically selects these parameters.

  6. Fire Protection Program Metrics

    Broader source: Energy.gov [DOE]

    Presenter: Perry E. D ’Antonio, P.E., Acting Sr. Manager, Fire Protection - Sandia National Laboratories

  7. ASR - 2011 Performance Metrics

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

    climate modeling within BER CESD. The goal of the climate modeling program is the development of climate models that include natural and human systems, which will project...

  8. Oil Security Metrics Model

    SciTech Connect (OSTI)

    Greene, David L.; Leiby, Paul N.

    2005-03-06

    A presentation to the IWG GPRA USDOE, March 6, 2005, Washington, DC. OSMM estimates oil security benefits of changes in the U.S. oil market.

  9. Signed Quality Assurance Hub Memo

    Office of Environmental Management (EM)

    :I I! DR. STEVEN L. KRAHN DEPUTY ASSISTANT SEC SAFETY AND SECCTRITY PROGRAM ENVIRONMENTAL MANAGEMENT SUBJECT: Office of Environmental Management Quality Assurance Performance Assessment, Commitment, and Corrective Action Management Program Launch In a memorandum to the FieldlSite Managers dated July 10,2009, it was announced that the Office of Standards and Quality Assurance (EM-23) had deployed a pilot prototype web-based system (Hub) to facilitate providing real-time status of Quality

  10. Quality Assurance | Department of Energy

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

    Quality Assurance Quality Assurance PPPO's Quality Assurance (QA) program effectively and efficiently implements DOE Environmental Management (EM) QA and oversight policies/requirements across the PPPO organization and among its contractors. The EM QA program describes the methods by which QA is implemented into the Integrated Safety Management System (ISMS), Contractor Assurance System (CAS), and the overall work processes conducted on EM's projects. PPPO uses approved QA procedures, plans, and

  11. Emerging Latin American air quality regulation

    SciTech Connect (OSTI)

    Hosmer, A.W.; Vitale, E.M.; Guerrero, C.R.; Solorzano-Vincent, L.

    1998-12-31

    Latin America is the most urbanized region in the developing world. In recent years, significant economic growth has resulted in population migration from rural areas to urban centers, as well as in a substantial rise in the standard of living within the Region. These changes have impacted the air quality of Latin American countries as increased numbers of industrial facilities and motor vehicles release pollutants into the air. With the advent of new free trade agreements such as MERCOSUR and NAFTA, economic activity and associated pollutant levels can only be expected to continue to expand in the future. In order to address growing air pollution problems, many Latin America countries including Argentina, Brazil, Chile, Columbia, Costa Rica, and Mexico have passed, or will soon pass, new legislation to develop and strengthen their environmental frameworks with respect to air quality. As a first step toward understanding the impacts that this increased environmental regulation will have, this paper will examine the regulatory systems in six Latin American countries with respect to ambient air quality and for each of these countries: review a short history of the air quality problems within the country; outline the legal and institutional framework including key laws and implementing institutions; summarize in brief the current status of the country in terms of program development and implementation; and identify projected future trends. In addition, the paper will briefly review the international treaties that have bearing on Latin American air quality. Finally, the paper will conclude by identifying and exploring emerging trends in individual countries and the region as a whole.

  12. Ultrasonic liquid level detector

    DOE Patents [OSTI]

    Kotz, Dennis M. (North Augusta, SC); Hinz, William R. (Augusta, GA)

    2010-09-28

    An ultrasonic liquid level detector for use within a shielded container, the detector being tubular in shape with a chamber at its lower end into which liquid from in the container may enter and exit, the chamber having an ultrasonic transmitter and receiver in its top wall and a reflector plate or target as its bottom wall whereby when liquid fills the chamber a complete medium is then present through which an ultrasonic wave may be transmitted and reflected from the target thus signaling that the liquid is at chamber level.

  13. Liquid-level detector

    DOE Patents [OSTI]

    Not Available

    1981-01-29

    Aliquid level sensor is described which has a pair of upright conductors spaced by an insulator defining a first high resistance path between the conductors. An electrically conductive path is interposed between the upright conductors at a discrete location at which liquid level is to be measured. It includes a liquid accessible gap of a dimension such that the electrical resistance across the conductor when the gap is filled with the liquid is detectably less than when the gap is emptied. The conductor might also be physically altered by temperature changes to serve also as an indicator of elevated temperature.

  14. SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM: Software Configuration...

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

    SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM: Software Configuration Management Checklist SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM: Software Configuration Management...

  15. Used Fuel Disposition Campaign Preliminary Quality Assurance...

    Energy Savers [EERE]

    Used Fuel Disposition Campaign Preliminary Quality Assurance Implementation Plan Used Fuel Disposition Campaign Preliminary Quality Assurance Implementation Plan The primary...

  16. International Quality Assurance Standards (Presentation)

    SciTech Connect (OSTI)

    Kurtz, S.; Hacke, P.; Wohlgemuth, J.; Kempe, M.; Yamamichi, M.

    2011-02-01

    Tests to make quantitative predictions about photovoltaic (PV) modules are needed. This presentation proposes the creation of international quality assurance standards for PV modules.

  17. Communication Product Quality Assurance Checklists

    Broader source: Energy.gov [DOE]

    These quality assurance checklists list the requirements for Office of Energy Efficiency and Renewable Energy (EERE) publication and exhibit communication products.

  18. Quality Procedure - Supplier Qualification | Department of Energy

    Energy Savers [EERE]

    Supplier Qualification Quality Procedure - Supplier Qualification This procedure establishes the responsibilities and process for supplier qualification activities conducted by Environmental Management (EM) Headquarters (HQ) Office of Standards and Quality Assurance in accordance with EM-QA-001, Environmental Management Quality Assurance Program. PDF icon Quality Procedure - Supplier Qualification More Documents & Publications Quality Procedure - Approved Suppliers List Quality Procedure -

  19. FY 2009 Annual Report of Joule Software Metric SC GG 3.1/2.5.2, Improve Computational Science Capabilities

    SciTech Connect (OSTI)

    Kothe, Douglas B; Roche, Kenneth J; Kendall, Ricky A

    2010-01-01

    The Joule Software Metric for Computational Effectiveness is established by Public Authorizations PL 95-91, Department of Energy Organization Act, and PL 103-62, Government Performance and Results Act. The U.S. Office of Management and Budget (OMB) oversees the preparation and administration of the President s budget; evaluates the effectiveness of agency programs, policies, and procedures; assesses competing funding demands across agencies; and sets the funding priorities for the federal government. The OMB has the power of audit and exercises this right annually for each federal agency. According to the Government Performance and Results Act of 1993 (GPRA), federal agencies are required to develop three planning and performance documents: 1.Strategic Plan: a broad, 3 year outlook; 2.Annual Performance Plan: a focused, 1 year outlook of annual goals and objectives that is reflected in the annual budget request (What results can the agency deliver as part of its public funding?); and 3.Performance and Accountability Report: an annual report that details the previous fiscal year performance (What results did the agency produce in return for its public funding?). OMB uses its Performance Assessment Rating Tool (PART) to perform evaluations. PART has seven worksheets for seven types of agency functions. The function of Research and Development (R&D) programs is included. R&D programs are assessed on the following criteria: Does the R&D program perform a clear role? Has the program set valid long term and annual goals? Is the program well managed? Is the program achieving the results set forth in its GPRA documents? In Fiscal Year (FY) 2003, the Department of Energy Office of Science (DOE SC-1) worked directly with OMB to come to a consensus on an appropriate set of performance measures consistent with PART requirements. The scientific performance expectations of these requirements reach the scope of work conducted at the DOE national laboratories. The Joule system emerged from this interaction. Joule enables the chief financial officer and senior DOE management to track annual performance on a quarterly basis. Joule scores are reported as success, goal met (green light in PART), mixed results, goal partially met (yellow light in PART), and unsatisfactory, goal not met (red light in PART). Joule links the DOE strategic plan to the underlying base program targets.

  20. Solar Radiation Empirical Quality Assessment

    Energy Science and Technology Software Center (OSTI)

    1994-03-01

    The SERIQC1 subroutine performs quality assessment of one, two, or three-component solar radiation data (global horizontal, direct normal, and diffuse horizontal) obtained from one-minute to one-hour integrations. Included in the package is the QCFIT tool to derive expected values from historical data, and the SERIQC1 subroutine to assess the quality of measurement data.

  1. Level: National Data;

    Gasoline and Diesel Fuel Update (EIA)

    .5 First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National Data; Row: Energy Sources and Shipments, including Further Classification of 'Other' Energy Sources; Column: First Use per Energy Sources and Shipments; Unit: Trillion Btu. Total Energy Source First Use Total United States Coal 1,433 Natural Gas 5,911 Net Electricity 2,851 Purchases 2,894 Transfers In 20 Onsite Generation from Noncombustible Renewable Energy 4 Sales and Transfers Offsite 67 Coke and Breeze 272

  2. Company Level Imports

    Gasoline and Diesel Fuel Update (EIA)

    All Petroleum & Other Liquids Reports Company Level Imports With Data for December 2015 | Release Date: February 29, 2016 | Next Release Date: March 31, 2016 | XLS Previous Issues Month: December 2015 November 2015 October 2015 September 2015 August 2015 July 2015 June 2015 May 2015 April 2015 March 2015 February 2015 January 2015 prior issues Go December 2015 Import Highlights Monthly data on the origins of crude oil imports in December 2015 show that two countries, Canada and Saudi Arabia,

  3. West Valley Demonstration Project High-Level Waste Management

    Office of Environmental Management (EM)

    DRAFT_19507_1 High-Level Waste Management Bryan Bower, DOE Director - WVDP DOE High-Level Waste Corporate Board Meeting Savannah River Site April 1, 2008 West Valley Demonstration Project West Valley Demonstration Project DRAFT_19507_2 West Valley High-Level Waste To solidify the radioactive material from approximately 600,000 gallons of high-level radioactive waste into a durable, high-quality glass, both a pretreatment system to remove salts and sulfates from the waste and a vitrification

  4. Low-Level Waste Disposal Facility Federal Review Group Manual

    Office of Environmental Management (EM)

    Low- LEVEL WASTE DISPOSAL FACILITY FEDERAL REVIEW GROUP MANUAL REVISION 3 JUNE 2008 (This page intentionally left blank) Low-Level JVllsfe Disposal Fllcili~l' Federal Review Group il1allUlli Revision 3, June 200S Concurrence The Low-Level Waste Disposal Facility Federal Review Group Manual, Revision 3, is approved for use as of the most recent date below. Date Chair, Low-Level Waste Disposal Federal Review Group Andrew WalJo, 1II Deputy Director, Otlice of Nuclear Safety, Quality Assurance, and

  5. THE POSSIBLE ROLE OF CORONAL STREAMERS AS MAGNETICALLY CLOSED STRUCTURES IN SHOCK-INDUCED ENERGETIC ELECTRONS AND METRIC TYPE II RADIO BURSTS

    SciTech Connect (OSTI)

    Kong, Xiangliang; Chen, Yao; Feng, Shiwei; Wang, Bing; Du, Guohui; Guo, Fan; Li, Gang

    2015-01-10

    Two solar typeII radio bursts, separated by ?24 hr in time, are examined together. Both events are associated with coronal mass ejections (CMEs) erupting from the same active region (NOAA 11176) beneath a well-observed helmet streamer. We find that the typeII emissions in both events ended once the CME/shock fronts passed the white-light streamer tip, which is presumably the magnetic cusp of the streamer. This leads us to conjecture that the closed magnetic arcades of the streamer may play a role in electron acceleration and typeII excitation at coronal shocks. To examine such a conjecture, we conduct a test-particle simulation for electron dynamics within a large-scale partially closed streamer magnetic configuration swept by a coronal shock. We find that the closed field lines play the role of an electron trap via which the electrons are sent back to the shock front multiple times and therefore accelerated to high energies by the shock. Electrons with an initial energy of 300 eV can be accelerated to tens of keV concentrating at the loop apex close to the shock front with a counter-streaming distribution at most locations. These electrons are energetic enough to excite Langmuir waves and radio bursts. Considering the fact that most solar eruptions originate from closed field regions, we suggest that the scenario may be important for the generation of more metric typeIIs. This study also provides an explanation of the general ending frequencies of metric typeIIs at or above 20-30 MHz and the disconnection issue between metric and interplanetary typeIIs.

  6. Cost and quality of fuels for electric utility plants, 1992

    SciTech Connect (OSTI)

    Not Available

    1993-08-02

    This publication presents an annual summary of statistics at the national, Census division, State, electric utility, and plant levels regarding the quantity, quality, and cost of fossil fuels used to produce electricity. The purpose of this publication is to provide energy decision-makers with accurate and timely information that may be used in forming various perspectives on issues regarding electric power.

  7. Cost and quality of fuels for electric utility plants, 1994

    SciTech Connect (OSTI)

    1995-07-14

    This document presents an annual summary of statistics at the national, Census division, State, electric utility, and plant levels regarding the quantity, quality, and cost of fossil fuels used to produce electricity. Purpose of this publication is to provide energy decision-makers with accurate, timely information that may be used in forming various perspectives on issues regarding electric power.

  8. Table 11.1 Carbon Dioxide Emissions From Energy Consumption by Source, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    Carbon Dioxide Emissions From Energy Consumption by Source, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal 3 Natural Gas 4 Petroleum Total 2,9 Biomass 2 Aviation Gasoline Distillate Fuel Oil 5 Jet Fuel Kero- sene LPG 6 Lubri- cants Motor Gasoline 7 Petroleum Coke Residual Fuel Oil Other 8 Total Wood 10 Waste 11 Fuel Ethanol 12 Bio- diesel Total 1949 1,118 270 12 140 NA 42 13 7 329 8 244 25 820 2,207 145 NA NA NA 145 1950 1,152 313 14 168 NA 48 16 9 357 8 273 26 918 2,382 147 NA NA

  9. Table 11.2a Carbon Dioxide Emissions From Energy Consumption: Residential Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    a Carbon Dioxide Emissions From Energy Consumption: Residential Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Natural Gas 3 Petroleum Retail Electricity 5 Total 2 Biomass 2 Distillate Fuel Oil 4 Kerosene Liquefied Petroleum Gases Total Wood 6 Total 6 1949 121 55 51 21 7 80 66 321 99 99 1950 120 66 61 25 9 95 69 350 94 94 1951 111 81 68 27 10 105 78 374 90 90 1952 103 89 70 27 10 108 85 385 84 84 1953 92 93 71 26 11 108 94 387 78 78 1954 82 104 79 27 12 118 99 404 75 75

  10. Table 11.2c Carbon Dioxide Emissions From Energy Consumption: Industrial Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    c Carbon Dioxide Emissions From Energy Consumption: Industrial Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Coal Coke Net Imports Natural Gas 3 Petroleum Retail Elec- tricity 8 Total 2 Biomass 2 Distillate Fuel Oil 4 Kero- sene LPG 5 Lubri- cants Motor Gasoline 6 Petroleum Coke Residual Fuel Oil Other 7 Total Wood 9 Waste 10 Fuel Ethanol 11 Total 1949 500 -1 166 41 18 3 3 16 8 95 25 209 120 995 44 NA NA 44 1950 531 (s) 184 51 20 4 3 18 8 110 26 239 140 1,095 50 NA NA 50

  11. Table 11.2d Carbon Dioxide Emissions From Energy Consumption: Transportation Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    d Carbon Dioxide Emissions From Energy Consumption: Transportation Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Natural Gas 3 Petroleum Retail Elec- tricity 7 Total 2 Biomass 2 Aviation Gasoline Distillate Fuel Oil 4 Jet Fuel LPG 5 Lubricants Motor Gasoline 6 Residual Fuel Oil Total Fuel Ethanol 8 Biodiesel Total 1949 161 NA 12 30 NA (s) 4 306 91 443 6 611 NA NA NA 1950 146 7 14 35 NA (s) 5 332 95 481 6 640 NA NA NA 1951 129 11 18 42 NA (s) 6 360 102 529 7 675 NA NA NA

  12. Liquid level detector

    DOE Patents [OSTI]

    Tshishiku, Eugene M. (Augusta, GA)

    2011-08-09

    A liquid level detector for conductive liquids for vertical installation in a tank, the detector having a probe positioned within a sheath and insulated therefrom by a seal so that the tip of the probe extends proximate to but not below the lower end of the sheath, the lower end terminating in a rim that is provided with notches, said lower end being tapered, the taper and notches preventing debris collection and bubble formation, said lower end when contacting liquid as it rises will form an airtight cavity defined by the liquid, the interior sheath wall, and the seal, the compression of air in the cavity preventing liquid from further entry into the sheath and contact with the seal. As a result, the liquid cannot deposit a film to form an electrical bridge across the seal.

  13. Switch wear leveling

    DOE Patents [OSTI]

    Wu, Hunter; Sealy, Kylee; Gilchrist, Aaron

    2015-09-01

    An apparatus for switch wear leveling includes a switching module that controls switching for two or more pairs of switches in a switching power converter. The switching module controls switches based on a duty cycle control technique and closes and opens each switch in a switching sequence. The pairs of switches connect to a positive and negative terminal of a DC voltage source. For a first switching sequence a first switch of a pair of switches has a higher switching power loss than a second switch of the pair of switches. The apparatus includes a switch rotation module that changes the switching sequence of the two or more pairs of switches from the first switching sequence to a second switching sequence. The second switch of a pair of switches has a higher switching power loss than the first switch of the pair of switches during the second switching sequence.

  14. CRAD, NNSA- Quality Assurance (QA)

    Broader source: Energy.gov [DOE]

    CRAD for Quality Assurance (QA). Criteria Review and Approach Documents (CRADs) that can be used to conduct a well-organized and thorough assessment of elements of safety and health programs.

  15. Council on Environmental Quality (CEQ)

    Broader source: Energy.gov [DOE]

    Congress established the Council on Environmental Quality within the Executive Office of the President as part of the National Environmental Policy Act of 1969 (NEPA). In enacting NEPA, Congress...

  16. Radioanalytical Data Quality Objectives and Measurement Quality Objectives during a Federal Radiological Monitoring and Assessment Center Response

    SciTech Connect (OSTI)

    E. C. Nielsen

    2006-01-01

    During the early and intermediate phases of a nuclear or radiological incident, the Federal Radiological Monitoring and Assessment Center (FRMAC) collects environmental samples that are analyzed by organizations with radioanalytical capability. Resources dedicated to quality assurance (QA) activities must be sufficient to assure that appropriate radioanalytical measurement quality objectives (MQOs) and assessment data quality objectives (DQOs) are met. As the emergency stabilizes, QA activities will evolve commensurate with the need to reach appropriate DQOs. The MQOs represent a compromise between precise analytical determinations and the timeliness necessary for emergency response activities. Minimum detectable concentration (MDC), lower limit of detection, and critical level tests can all serve as measurements reflecting the MQOs. The relationship among protective action guides (PAGs), derived response levels (DRLs), and laboratory detection limits is described. The rationale used to determine the appropriate laboratory detection limit is described.

  17. DOE Order on Quality Assurance

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

    AVAILABLE ONLINE AT: INITIATED BY: www.directives.doe.gov Office of Health, Safety and Security U.S. Department of Energy ORDER Washington, D.C. Approved: 4-25-2011 SUBJECT: QUALITY ASSURANCE 1. PURPOSE. a. To ensure that Department of Energy (DOE), including National Nuclear Security Administration (NNSA), products and services meet or exceed customers' requirements and expectations. b. To achieve quality for all work based upon the following principles: (1) All work, as defined in this Order,

  18. Development of a Coal Quality Expert

    SciTech Connect (OSTI)

    1998-06-20

    ABB Power Plant Laboratories Combustion Engineering, Inc., (ABB CE) and CQ Inc. completed a broad, comprehensive program to demonstrate the economic and environmental benefits of using higher quality U.S. coals for electrical power generation and developed state-of-the-art user-friendly software--Coal Quality Expert (CQE)-to reliably predict/estimate these benefits in a consistent manner. The program was an essential extension and integration of R and D projects performed in the past under U.S. DOE and EPRI sponsorship and it expanded the available database of coal quality and power plant performance information. This software will permit utilities to purchase the lowest cost clean coals tailored to their specific requirements. Based on common interest and mutual benefit, the subject program was cosponsored by the U.S. DOE, EPRI, and eight U.S. coal-burning utilities. In addition to cosponsoring this program, EPN contributed its background research, data, and computer models, and managed some other supporting contracts under the terms of a project agreement established between CQ Inc. and EPRI. The essential work of the proposed project was performed under separate contracts to CQ Inc. by Electric Power Technologies (El?'T), Black and Veatch (B and V), ABB Combustion Engineering, Babcock and Wilcox (B and W), and Decision Focus, Inc. Although a significant quantity of the coals tied in the United States are now cleaned to some degree before firing, for many of these coals the residual sulfur content requires users to install expensive sulfur removal systems and the residual ash causes boilers to operate inefficiently and to require frequent maintenance. Disposal of the large quantities of slag and ash at utility plant sites can also be problematic and expensive. Improved and advanced coal cleaning processes can reduce the sulfur content of many coals to levels conforming to environmental standards without requiring post-combustion desulfurization systems. Also, some coals may be beneficiated or blended to a quality level where significantly less costly desulfurization systems are needed. Coal cleaning processes may also be used to remove the precursors of other troublesome emissions that can be identified now or in the future. An added benefit of coal cleaning and blending is the reduction in concentrations of mineral impurities in the fuel leading to improved performance and operation of the'' boiler in which it is fired. The ash removed during the pre-combustion cleaning process can be more easily and safely disposed of at the mine than at the utility plant after combustion. EPRI's Coal Quality Impact Model (CQIM) has shown that improved fuel quality can result in savings in unit capital and operating costs. This project produced new and improved software to select coal types and specifications resulting in the best quality and lowest cost fuel to meet specific environmental requirements.

  19. Quality Assurance Program Plan | Department of Energy

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

    Quality Assurance Program Plan Quality Assurance Program Plan The achievement of quality in LM activities and products requires implementation of a formal Quality Assurance (QA) Program. This program establishes principles, requirements, practices, and methods for integrating quality into the daily operations of our programs and projects. The QA Program functions as a management tool to ensure that quality objectives are achieved throughout LM's technical, administrative, and operational

  20. Quality Assurance Program | Department of Energy

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

    Program Quality Assurance Program Formal EM policy on the use of the corporate Quality Assurance Program (EM-QA-001 Rev. 1) to ensure all EM projects utilize a consistent quality assurance approach. PDF icon Quality Assurance Policy, Revision 1 PDF icon EM Quaility Assurance Program (EM-QA-001 Revision 1) More Documents & Publications EM Quality Assurance Program (EM-QA-001 Revision 1) EM Quality Assurance Program (EM-QA-001 Revision 0)

  1. Quality Procedure - Document Review | Department of Energy

    Energy Savers [EERE]

    Review Quality Procedure - Document Review This procedure establishes the process for the reivew and approval of Environmental Managemnt (EM) Quality Assurance (QA) program documents as performed by the Office of Standards and Quality Assurance. This procedure also establishes the process for review and approval of other EM documents external to the EM Headquarters Office of Standards and Quality Assurance. PDF icon Quality Procedure - Document Review More Documents & Publications Quality

  2. Quality Procedure - Records Management | Department of Energy

    Energy Savers [EERE]

    Records Management Quality Procedure - Records Management This procedure establishes the responsibilities and process for identifying and managing records, including quality records, generated by EM Headquarters Office of Standards and Quality Assurance personnel as well as Office of Standards and Quality Assurance representatives located in DOE EM Field Offices in accordance with EM-QA-001, Environmental Management Quality Assurance Program. PDF icon Quality Procedure - Records Management More

  3. SU-C-9A-02: Structured Noise Index as An Automated Quality Control for Nuclear Medicine: A Two Year Experience

    SciTech Connect (OSTI)

    Nelson, J; Christianson, O; Samei, E

    2014-06-01

    Purpose: Flood-field uniformity evaluation is an essential element in the assessment of nuclear medicine (NM) gamma cameras. It serves as the central element of the quality control (QC) program, acquired and analyzed on a daily basis prior to clinical imaging. Uniformity images are traditionally analyzed using pixel value-based metrics which often fail to capture subtle structure and patterns caused by changes in gamma camera performance requiring additional visual inspection which is subjective and time demanding. The goal of this project was to develop and implement a robust QC metrology for NM that is effective in identifying non-uniformity issues, reporting issues in a timely manner for efficient correction prior to clinical involvement, all incorporated into an automated effortless workflow, and to characterize the program over a two year period. Methods: A new quantitative uniformity analysis metric was developed based on 2D noise power spectrum metrology and confirmed based on expert observer visual analysis. The metric, termed Structured Noise Index (SNI) was then integrated into an automated program to analyze, archive, and report on daily NM QC uniformity images. The effectiveness of the program was evaluated over a period of 2 years. Results: The SNI metric successfully identified visually apparent non-uniformities overlooked by the pixel valuebased analysis methods. Implementation of the program has resulted in nonuniformity identification in about 12% of daily flood images. In addition, due to the vigilance of staff response, the percentage of days exceeding trigger value shows a decline over time. Conclusion: The SNI provides a robust quantification of the NM performance of gamma camera uniformity. It operates seamlessly across a fleet of multiple camera models. The automated process provides effective workflow within the NM spectra between physicist, technologist, and clinical engineer. The reliability of this process has made it the preferred platform for NM uniformity analysis.

  4. Dilaton field minimally coupled to 2+1 gravity; uniqueness of the static Chan-Mann black hole and new dilaton stationary metrics

    SciTech Connect (OSTI)

    Garca-Diaz, Alberto A.

    2014-01-14

    Using the Schwarzschild coordinate frame for a static cyclic symmetric metric in 2+1 gravity coupled minimally to a dilaton logarithmically depending on the radial coordinate in the presence of an exponential potential, by solving first order linear Einstein equations, the general solution is derived and it is identified with the ChanMann dilaton solution. In these coordinates, a new stationary dilaton solution is obtained; it does not allow for a de SitterAnti-de Sitter limit at spatial infinity, where its structural functions increase indefinitely. On the other hand, it is horizonless and allows for a naked singularity at the origin of coordinates; moreover, one can identify at a large radial coordinate a (quasi-local) mass parameter and in the whole space a constant angular momentum. Via a general SL(2,R)transformation, applied on the static cyclic symmetric metric, a family of stationary dilaton solutions has been generated. A particular SL(2,R)transformation is identified, which gives rise to the rotating ChanMann dilaton solution. All the exhibited solutions have been characterized by their quasi-local energy, mass, and momentum through their series expansions at spatial infinity. The algebraic structure of the Riccienergy-momentum, and Cotton tensors is given explicitly.

  5. Vermont Section 401 Water Quality Certification Application ...

    Open Energy Info (EERE)

    Abstract Application required for Section 401 water quality certification under the Clean Water Act. Form Type ApplicationNotice Form Topic Section 401 Water Quality...

  6. Vermont Water Quality Certification Application for Hydroelectric...

    Open Energy Info (EERE)

    Water Quality Certification Application for Hydroelectric Facilities Jump to: navigation, search OpenEI Reference LibraryAdd to library Form: Vermont Water Quality Certification...

  7. Vermont Water Quality Standards | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search OpenEI Reference LibraryAdd to library General: Vermont Water Quality Standards Abstract Vermont 401 Water Quality Certification Policy Guidance for...

  8. Alaska Water Quality Standards | Open Energy Information

    Open Energy Info (EERE)

    Water Quality Standards Jump to: navigation, search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: Alaska Water Quality...

  9. Quality Assurance Corporate Board | Department of Energy

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

    Quality Assurance Corporate Board The Office of Environmental Management (EM) Quality ... Safety and Security Program, who is the Chief Executive Officer and Chair of the Board. ...

  10. WIPP Documents - Quality Assurance and Safety

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

    Quality Assurance and Safety Quality Assurance Program Document DOE/CBFO-94-1012 Rev. 12 Effective date: 8/15

  11. Quality Assurance Program Guide - DOE Directives, Delegations...

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

    CURRENT DOE G 414.1-2B Admin Chg 2, Quality Assurance Program Guide by Colette Broussard Functional areas: Administrative Change, Quality Assurance and Oversight This Guide...

  12. Rapid evaluation and quality control of next generation sequencing data with FaQCs

    SciTech Connect (OSTI)

    Lo, Chien -Chi; Chain, Patrick S. G.

    2014-12-01

    Background: Next generation sequencing (NGS) technologies that parallelize the sequencing process and produce thousands to millions, or even hundreds of millions of sequences in a single sequencing run, have revolutionized genomic and genetic research. Because of the vagaries of any platform's sequencing chemistry, the experimental processing, machine failure, and so on, the quality of sequencing reads is never perfect, and often declines as the read is extended. These errors invariably affect downstream analysis/application and should therefore be identified early on to mitigate any unforeseen effects. Results: Here we present a novel FastQ Quality Control Software (FaQCs) that can rapidly process large volumes of data, and which improves upon previous solutions to monitor the quality and remove poor quality data from sequencing runs. Both the speed of processing and the memory footprint of storing all required information have been optimized via algorithmic and parallel processing solutions. The trimmed output compared side-by-side with the original data is part of the automated PDF output. We show how this tool can help data analysis by providing a few examples, including an increased percentage of reads recruited to references, improved single nucleotide polymorphism identification as well as de novo sequence assembly metrics. Conclusion: FaQCs combines several features of currently available applications into a single, user-friendly process, and includes additional unique capabilities such as filtering the PhiX control sequences, conversion of FASTQ formats, and multi-threading. The original data and trimmed summaries are reported within a variety of graphics and reports, providing a simple way to do data quality control and assurance.

  13. Rapid evaluation and quality control of next generation sequencing data with FaQCs

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

    Lo, Chien -Chi; Chain, Patrick S. G.

    2014-12-01

    Background: Next generation sequencing (NGS) technologies that parallelize the sequencing process and produce thousands to millions, or even hundreds of millions of sequences in a single sequencing run, have revolutionized genomic and genetic research. Because of the vagaries of any platform's sequencing chemistry, the experimental processing, machine failure, and so on, the quality of sequencing reads is never perfect, and often declines as the read is extended. These errors invariably affect downstream analysis/application and should therefore be identified early on to mitigate any unforeseen effects. Results: Here we present a novel FastQ Quality Control Software (FaQCs) that can rapidly processmore » large volumes of data, and which improves upon previous solutions to monitor the quality and remove poor quality data from sequencing runs. Both the speed of processing and the memory footprint of storing all required information have been optimized via algorithmic and parallel processing solutions. The trimmed output compared side-by-side with the original data is part of the automated PDF output. We show how this tool can help data analysis by providing a few examples, including an increased percentage of reads recruited to references, improved single nucleotide polymorphism identification as well as de novo sequence assembly metrics. Conclusion: FaQCs combines several features of currently available applications into a single, user-friendly process, and includes additional unique capabilities such as filtering the PhiX control sequences, conversion of FASTQ formats, and multi-threading. The original data and trimmed summaries are reported within a variety of graphics and reports, providing a simple way to do data quality control and assurance.« less

  14. Quality data validation: Comprehensive approach to environmental data validation

    SciTech Connect (OSTI)

    Matejka, L.A. Jr.

    1993-10-01

    Environmental data validation consists of an assessment of three major areas: analytical method validation; field procedures and documentation review; evaluation of the level of achievement of data quality objectives based in part on PARCC parameters analysis and expected applications of data. A program utilizing matrix association of required levels of validation effort and analytical levels versus applications of this environmental data was developed in conjunction with DOE-ID guidance documents to implement actions under the Federal Facilities Agreement and Consent Order in effect at the Idaho National Engineering Laboratory. This was an effort to bring consistent quality to the INEL-wide Environmental Restoration Program and database in an efficient and cost-effective manner. This program, documenting all phases of the review process, is described here.

  15. Better Buildings Workforce Peer Exchange Quality Assurance Strategies...

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

    Quality Assurance Strategies Better Buildings Workforce Peer Exchange Quality Assurance Strategies Better Buildings Workforce Peer Exchange Quality Assurance Strategies, call ...

  16. Melter technology evaluation for vitrification of Hanford Site low-level waste

    SciTech Connect (OSTI)

    Wilson, C.N.; Burgard, K.C.; Weber, E.T.; Brown, N.R.

    1995-04-01

    The current plan at the Hanford Site, in accordance with the Tri-Party Agreement among Washington State, the US Environmental Protection Agency, and the US Department of Energy, is to convert the low-level tank waste fraction into a silicate glass. The low-level waste will be composed primarily of sodium nitrate and nitrite salts concentrated in a highly alkaline aqueous solution. The capability to process up to 200 metric tons/day off glass will be established to produce an estimated 210,000 m{sup 3} for onsite disposal. A program to test and evaluate high-capacity melter technologies is in progress. Testing performed by seven different industrial sources using Joule heating, combustion, plasma, and carbon arc melters is described.

  17. Research Finds Vitamin D Deficiency Affects Bone Quality

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

    Research Finds Vitamin D Deficiency Affects Bone Quality Research Finds Vitamin D Deficiency Affects Bone Quality Print Wednesday, 30 April 2014 00:00 Vitamin D deficiency is a widespread medical condition that plays a major role in human bone health. Scientists know that a lack of vitamin D can cause bone diseases such as rickets and osteomalacia. Now a team of researchers working at the ALS has also found that vitamin D deficiency plays a significant role in the bone-aging process. Low levels

  18. CALiPER Report 20.1: Subjective Evaluation of Beam Quality, Shadow Quality,

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

    and Color Quality for LED PAR38 Lamps | Department of Energy Report 20.1: Subjective Evaluation of Beam Quality, Shadow Quality, and Color Quality for LED PAR38 Lamps CALiPER Report 20.1: Subjective Evaluation of Beam Quality, Shadow Quality, and Color Quality for LED PAR38 Lamps This December 3, 2013 webinar explored the findings of CALiPER 20.1: Subjective Evaluation of Beam Quality, Shadow Quality, and Color Quality for LED PAR38 Lamps and discussed what attributes to look for to increase

  19. A Seasonal Perspective on Regional Air Quality in CentralCalifornia - Phase 1

    SciTech Connect (OSTI)

    Harley, Robert A.; Brown, Nancy J.; Tonse, Shaheen R.; Jin, Ling

    2006-12-01

    Central California spans a wide variety of urban, agricultural, and natural terrain, including the San Francisco Bay area, the Central Valley, and the Sierra Nevada Mountains. Population within this region is growing rapidly, and there are persistent, serious air pollution problems including fine particulate matter (PM{sub 2.5}) and ozone. Summertime photochemical air pollution is the focus of the present study, which represents a first phase in the development and application of a modeling capability to assess formation and transport of ozone and its precursors within Central California over an entire summer season. This contrasts with past studies that have examined pollutant dynamics for a few selected high-ozone episodes each lasting 3-5 days. The Community Multiscale Air Quality model (CMAQ) has been applied to predict air pollutant formation and transport in Central California for a 15-day period beginning on July 24, 2000. This period includes a 5-day intensive operating period (July 29 to August 2) from the Central California Ozone Study (CCOS). Day-specific meteorological conditions were modeled by research collaborators at NOAA using a mesoscale meteorological model (MM5). Pollutant emissions within the study domain were based on CARB emission inventory estimates, with additional efforts conducted as part of this research to capture relevant emissions variability including (1) temperature and sunlight-driven changes in biogenic VOC, (2) weekday/weekend and diurnal differences in light-duty (LD) and heavy-duty (HD) motor vehicle emissions, (3) effects of day-specific meteorological conditions on plume rise from point sources such as power plants. We also studied the effects of using cleaner pollutant inflow boundary conditions, lower than indicated during CCOS aircraft flights over the Pacific Ocean, but supported by other surface, ship-based, balloon and aircraft sampling studies along the west coast. Model predictions were compared with measured concentrations for O{sub 3}, NO{sub x}, NO{sub y}, and CO at about 100 ground observation stations within the CCOS domain. Comparisons were made both for time series and for statistically aggregated metrics, to assess model performance over the whole modeling domain and for the individual air basins within the domain. The model tends to over-predict ozone levels along the coast where observed levels are generally low. Inland performance in the San Joaquin Valley is generally better. Model-measurement agreement for night-time ozone is improved by evaluating the sum of predicted O{sub 3} + NO{sub 2} against observations; this removes from the comparison the effect of any ozone titration that may occur. A variety of diagnostic simulations were conducted to investigate the causes for differences between predictions and observations. These included (1) enhanced deposition of O{sub 3} to the ocean, (2) reduced vertical mixing over the ocean, (3) attenuation of sunlight by coastal stratus, (4) the influence of surface albedo on photochemistry, and (5) the effects of observation nudging on wind fields. Use of advanced model probing tools such as process analysis and sensitivity analysis is demonstrated by diagnosing model sensitivity to boundary conditions and to weekday-weekend emission changes.

  20. Data Quality Objectives Summary Report:

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

    1-68 Revision 0 Data Quality Objectives Summary Report: Evaluation of Natural Beryllium and Its Ratio to Other Metals in Background Hanford Surface Soils Prepared for the U.S. Department of Energy Assistant Secretary for Environmental Management U.S. DEPARTMENT OF Rich land Operations S ENERGY Office RO. Box 550 Richland, Washington 99352 APProwed for Public Rehe Futw Dlserrdn Ur~kled DOE/RL-201 1-68 Revision 0 Data Quality Objectives Summary Report: Evaluation of Natural Beryllium and Its

  1. Weapons Quality Assurance Qualification Standard

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

    5-2008 September 2008 DOE STANDARD WEAPON QUALITY ASSURANCE QUALIFICATION STANDARD NNSA Weapon Quality Assurance Technical Personnel U.S. Department of Energy AREA TRNG Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. DOE-STD-1025-2008 This document is available on the Department of Energy Technical Standards Program Web Site at http://www.hss.energy.gov/nuclearsafety/techstds/ DOE-STD-1025-2008 iv INTENTIONALLY BLANK DOE-STD-1025-2008 v

  2. Maintaining System Air Quality | Department of Energy

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

    Maintaining System Air Quality Maintaining System Air Quality This tip sheet discusses how to maintain air quality in compressed air systems through proper use of equipment. COMPRESSED AIR TIP SHEET #12 PDF icon Maintaining System Air Quality (August 2004) More Documents & Publications Remove Condensate with Minimal Air Loss Engineer End Uses for Maximum Efficiency Stabilizing System Pressure

  3. Quality engineering as a discipline of study.

    SciTech Connect (OSTI)

    Kolb, Rachel R.; Hoover, Marcey L.

    2012-12-01

    The current framework for quality scholarship in the United States ranges from the training and education of future quality engineers, managers, and professionals to focused and sustained research initiatives that, through academic institutions and other organizations, aim to improve the knowledge and application of quality across a variety of sectors. Numerous quality journals also provide a forum for professional dissemination of information.

  4. Quality Work Plan Inspection and Monitoring Requirement

    Broader source: Energy.gov [DOE]

    Inspection and monitoring requirements for Weatherization Assistance Program's comprehensive Quality Work Plan.

  5. Quality monitored distributed voting system

    DOE Patents [OSTI]

    Skogmo, David

    1997-01-01

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

  6. Quality monitored distributed voting system

    DOE Patents [OSTI]

    Skogmo, D.

    1997-03-18

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

  7. Forecasting Water Quality & Biodiversity

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

    Forecasting Water Quality & Biodiversity March 25, 2015 Cross-cutting Sustainability Platform Review Principle Investigator: Dr. Henriette I. Jager Organization: Oak Ridge National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information 2015 DOE Bioenergy Technologies Office (BETO) Project Peer Review Goal Statement Addresses the following MYPP BETO goals:  Advance scientific methods and models for measuring and understanding

  8. Radiation Levels in Real Time?

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

    Levels in Real Time? There's an App for That Gamma radiation levels in the southern Nevada area will soon be accessible around the world at the touch of a finger. Makers of the ...

  9. Table 11.2b Carbon Dioxide Emissions From Energy Consumption: Commercial Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    b Carbon Dioxide Emissions From Energy Consumption: Commercial Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Natural Gas 3 Petroleum Retail Electricity 7 Total 2 Biomass 2 Distillate Fuel Oil 4 Kerosene LPG 5 Motor Gasoline 6 Petroleum Coke Residual Fuel Oil Total Wood 8 Waste 9 Fuel Ethanol 10 Total 1949 148 19 16 3 2 7 NA 28 55 58 280 2 NA NA 2 1950 147 21 19 3 2 7 NA 33 66 63 297 2 NA NA 2 1951 125 25 21 4 3 8 NA 34 70 69 289 2 NA NA 2 1952 112 28 22 4 3 8 NA 35 71 73

  10. Table 11.2e Carbon Dioxide Emissions From Energy Consumption: Electric Power Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    e Carbon Dioxide Emissions From Energy Consumption: Electric Power Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Natural Gas 3 Petroleum Geo- thermal Non- Biomass Waste 5 Total 2 Biomass 2 Distillate Fuel Oil 4 Petroleum Coke Residual Fuel Oil Total Wood 6 Waste 7 Total 1949 187 30 2 NA 30 33 NA NA 250 1 NA 1 1950 206 35 2 NA 35 37 NA NA 278 1 NA 1 1951 235 42 2 NA 29 31 NA NA 308 1 NA 1 1952 240 50 2 NA 31 33 NA NA 323 1 NA 1 1953 260 57 3 NA 38 40 NA NA 358 (s) NA (s)

  11. Systems Level Engineering of Plant Cell Wall Biosynthesis to Improve Biofuel Feedstock Quality

    SciTech Connect (OSTI)

    Hazen, Samuel

    2013-09-27

    Our new regulatory model of cell wall biosynthesis proposes original network architecture with several newly incorporated components. The mapped set of protein-DNA interactions will serve as a foundation for 1) understanding the regulation of a complex and integral plant component and 2) the manipulation of crop species for biofuel and biotechnology purposes. This study revealed interesting and novel aspects of grass growth and development and further enforce the importance of a grass model system. By functionally characterizing a suite of genes, we have begun to improve the sparse model for transcription regulation of biomass accumulation in grasses. In the process, we have advanced methodology and brachy molecular genetic tools that will serve as valuable community resource.

  12. Accredited Certifications Bring a Higher Level of Quality to the Weatherization Industry

    Broader source: Energy.gov [DOE]

    With the announcement of the newly accredited Home Energy Professional certifications, the U.S. Department of Energy (DOE) continues to reaffirm its commitment to supporting an effective and highly skilled weatherization workforce.

  13. Near Facility Environmental Monitoring Quality Assurance Project Plan

    SciTech Connect (OSTI)

    MCKINNEY, S.M.

    2000-05-01

    This Quality Assurance Project Plan addresses the quality assurance requirements for the activities associated with the preoperational and near-facility environmental monitoring directed by Waste Management Technical Services and supersedes HNF-EP-0538-4. This plan applies to all sampling and monitoring activities performed by Waste Management Technical Services in implementing near-facility environmental monitoring at the Hanford Site. This Quality Assurance Project Plan is required by U.S. Department of Energy Order 5400.1 (DOE 1990) as a part of the Environmental Monitoring Plan (DOE-RL 1997) and is used to define: Environmental measurement and sampling locations used to monitor environmental contaminants near active and inactive facilities and waste storage and disposal sites; Procedures and equipment needed to perform the measurement and sampling; Frequency and analyses required for each measurement and sampling location; Minimum detection level and accuracy; Quality assurance components; and Investigation levels. Near-facility environmental monitoring for the Hanford Site is conducted in accordance with the requirements of U.S. Department of Energy Orders 5400.1 (DOE 1990), 5400.5 (DOE 1993), 5484.1 (DOE 1990), and 435.1 (DOE 1999), and DOE/EH-O173T (DOE 1991). It is Waste Management Technical Services' objective to manage and conduct near-facility environmental monitoring activities at the Hanford Site in a cost-effective and environmentally responsible manner that is in compliance with the letter and spirit of these regulations and other environmental regulations, statutes, and standards.

  14. 1998 Cost and Quality Annual

    Gasoline and Diesel Fuel Update (EIA)

    8) Distribution Category UC-950 Cost and Quality of Fuels for Electric Utility Plants 1998 Tables June 1999 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels U.S. Department of Energy Washington DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of

  15. CBEI - Improving Benchmarking Data Quality

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

    Improving Benchmarking Data Quality 2015 Building Technologies Office Peer Review Scott Wagner, swagner@engr.psu.edu CBEI - Pennsylvania State University Project Summary Timeline: Start date: 5/1/2014 Planned end date: 4/30/2016 Key Milestones: 1. Analysis of 2013 Philadelphia benchmarking data; Evaluation of Proficiency in Benchmarking Certificate program; Draft engagement strategy for Baltimore; 6/30/2014 2. Final Guide to Community-Wide Benchmarking Analysis, facts sheets and web content;

  16. Quality Procedure- Management Assessment and Self-Assessment

    Broader source: Energy.gov [DOE]

    This procedure establishes the roles, responsibilities, requirements, and process for conducting Environmental Management (EM) Office of Standards and Quality Assurance management assessments and self-assessments. Effective management assessments and self-assessments are built on self-evaluation, work process analysis, clear communication with management, and honest feedback that promote a high level of awareness of management processes that need or require improvement and that will recognize areas where excellence has been achieved.

  17. Aircraft Cabin Environmental Quality Sensors

    SciTech Connect (OSTI)

    Gundel, Lara; Kirchstetter, Thomas; Spears, Michael; Sullivan, Douglas

    2010-05-06

    The Indoor Environment Department at Lawrence Berkeley National Laboratory (LBNL) teamed with seven universities to participate in a Federal Aviation Administration (FAA) Center of Excellence (COE) for research on environmental quality in aircraft. This report describes research performed at LBNL on selecting and evaluating sensors for monitoring environmental quality in aircraft cabins, as part of Project 7 of the FAA's COE for Airliner Cabin Environmental Research (ACER)1 effort. This part of Project 7 links to the ozone, pesticide, and incident projects for data collection and monitoring and is a component of a broader research effort on sensors by ACER. Results from UCB and LBNL's concurrent research on ozone (ACER Project 1) are found in Weschler et al., 2007; Bhangar et al. 2008; Coleman et al., 2008 and Strom-Tejsen et al., 2008. LBNL's research on pesticides (ACER Project 2) in airliner cabins is described in Maddalena and McKone (2008). This report focused on the sensors needed for normal contaminants and conditions in aircraft. The results are intended to complement and coordinate with results from other ACER members who concentrated primarily on (a) sensors for chemical and biological pollutants that might be released intentionally in aircraft; (b) integration of sensor systems; and (c) optimal location of sensors within aircraft. The parameters and sensors were selected primarily to satisfy routine monitoring needs for contaminants and conditions that commonly occur in aircraft. However, such sensor systems can also be incorporated into research programs on environmental quality in aircraft cabins.

  18. Quality at Y-12, part 2Or: Looking at Y-12 weapons quality ...

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

    Quality at Y-12, part 2 Or: Looking at Y-12 weapons quality (title as it appeared in The Oak Ridger) Thanks to Ken Bernander and Bud Leete we continue with the history of Quality...

  19. Quality at Y-12, part 3 -- Or: Quality goes beyond nuclear weapons...

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

    Quality at Y-12, part 3 Or: Quality goes beyond nuclear weapons (title as it appeared in The Oak Ridger) As we continue our look at the history of Quality at Y-12, Bud Leete, Y-12 ...

  20. Radiation Levels in Real Time?

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

    Levels in Real Time? There's an App for That! Gamma radiation levels in the southern Nevada area will soon be accessible around the world at the touch of a finger. Makers of the cell phone application EcoData: Radiation are expanding their global network of radiation monitoring stations to include up-to-date readings from the Community Environmental Monitoring Program (CEMP) based out of southern Nevada. The CEMP was established in 1981 to monitor manmade and natural radiation levels surrounding

  1. Effect of Sea Level Rise

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

    Effect of Sea Level Rise on Energy Infrastructure in Four Major Metropolitan Areas September 2014 U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Pilot Study on the Effect of Sea Level Rise on Energy Infrastructure in Four Major Metropolitan Areas August 2014 Effect of Sea Level Rise on Energy Infrastructure in Four Major Metropolitan Areas Office of Electricity Delivery and Energy Reliability U.S. Department of Energy September 2014 i Table of Contents 1.

  2. Natural Gas Quality Biogas | Argonne National Laboratory

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

    Natural Gas Quality Biogas Transportation fuel and organic solid fertilizer from anaerobic digestion of wastewater solids and other organic wastes Organic solid fertilizer is rich in nitrogen, phosphorous, potassium, and sulfur. PDF icon NATURAL GAS-QUALITY BIOGAS

  3. ADEQ Water Quality Forms | Open Energy Information

    Open Energy Info (EERE)

    ADEQ Water Quality Forms Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: ADEQ Water Quality FormsLegal Abstract The Arizona...

  4. Quality Assurance Guide for Project Management

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

    2008-06-27

    This Guide provides acceptable approaches for implementing the Quality Assurance requirements and criteria of DOE O 413.3A related to the development and implementation of a Quality Assurance Program for the project. No cancellations.

  5. Quality Control Inspector: Different Programs, Different Responsibilities

    Broader source: Energy.gov [DOE]

    This document explains the role of the Quality Control Inspector (QCI) in regards to the Home Energy Professional Certification Exam.

  6. Slag pit practices to improve slag quality

    SciTech Connect (OSTI)

    Mertdogan, A.; Gambol, F.C.; Spaeth, J.R.; Zbos, J.; Batka, R.; Tolliver, D.

    1996-12-31

    Slag quality had deteriorated recently. Without the explicit approval for slag quality by the Illinois Department of Transportation, the slag would not be saleable. Disposal of slag to landfills was going to be an expensive solution and rife with environmental concerns. A slag quality control program embarked on in mid-1994 restored slag quality to desired specifications. This paper describes the changes in slag pit practice adopted following extensive tests performed on cooling slag under controlled conditions.

  7. Quality Assurance for Residential Retrofit Programs

    Broader source: Energy.gov [DOE]

    This webinar covered quality assurance and how to assure that your investment achieves a desired result of saving energy.

  8. Weatherization Assistance Program Quality Work Plan Requirements |

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

    Department of Energy Quality Work Plan Requirements Weatherization Assistance Program Quality Work Plan Requirements Four square graphic of a document, a conversation bubble, a checkbox and a certification seal. The U.S. Department of Energy's Weatherization Assistance Program (WAP) has introduced a comprehensive Quality Work Plan (QWP) that will establish a benchmark for quality home energy upgrades. This plan defines what is required when federal dollars are used to purchase weatherization

  9. Quality Work Plan Requirements | Department of Energy

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

    Quality Work Plan Requirements Quality Work Plan Requirements The U.S. Department of Energy's Weatherization Assistance Program (WAP) has introduced a comprehensive Quality Work Plan (QWP) that will establish a benchmark for quality home energy upgrades. This plan defines what is required when federal dollars are used to purchase weatherization services and leverages the resources developed through the Guidelines for Home Energy Professionals project. Below you will find links to QWP guidance,

  10. Post-processing V&V level II ASC milestone (2360) results.

    SciTech Connect (OSTI)

    Chavez, Elmer; Karelitz, David B.; Brunner, Thomas A.; Trucano, Timothy Guy; Moreland, Kenneth D.; Weirs, V. Gregory; Shead, Timothy M.

    2007-09-01

    The 9/30/2007 ASC Level 2 Post-Processing V&V Milestone (Milestone 2360) contains functionality required by the user community for certain verification and validation tasks. These capabilities include loading of edge and face data on an Exodus mesh, run-time computation of an exact solution to a verification problem, delivery of results data from the server to the client, computation of an integral-based error metric, simultaneous loading of simulation and test data, and comparison of that data using visual and quantitative methods. The capabilities were tested extensively by performing a typical ALEGRA HEDP verification task. In addition, a number of stretch criteria were met including completion of a verification task on a 13 million element mesh.

  11. Workshop on indoor air quality research needs

    SciTech Connect (OSTI)

    Not Available

    1980-01-01

    Workshop participants report on indoor air quality research needs including the monitoring of indoor air quality, report of the instrumentation subgroup of indoor air quality, health effects, and the report of the control technology session. Risk analysis studies addressing indoor environments were also summarized. (DLS)

  12. Transuranic Waste Characterization Quality Assurance Program Plan

    SciTech Connect (OSTI)

    NONE

    1995-04-30

    This quality assurance plan identifies the data necessary, and techniques designed to attain the required quality, to meet the specific data quality objectives associated with the DOE Waste Isolation Pilot Plant (WIPP). This report specifies sampling, waste testing, and analytical methods for transuranic wastes.

  13. Biofuels Quality Surveys | Department of Energy

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

    Quality Surveys Biofuels Quality Surveys 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon ft013_alleman_2012_p.pdf More Documents & Publications Performance of Biofuels and Biofuel Blends Performance of Biofuels and Biofuel Blends Quality, Performance, and Emission Impacts of Biofuels and Biofuel Blends

  14. Groundwater Level Status Report for Fiscal Year 2007 - Los Alamos National Laboratory

    SciTech Connect (OSTI)

    Shannon P. Allen, Richard J. Koch

    2008-03-17

    The status of groundwater level monitoring at Los Alamos National Laboratory in Fiscal Year 2007 is provided in this report. The Groundwater Level Monitoring Project was instituted in 2005 to provide a framework for the collection and processing of quality controlled groundwater level data. This report summarizes groundwater level data for 166 monitoring wells, including 45 regional aquifer wells, 25 intermediate wells, and 96 alluvial wells, and 11 water supply wells. Pressure transducers were installed in 133 monitoring wells for continuous monitoring of groundwater levels. Time-series hydrographs of groundwater level data are presented along with pertinent construction and location information for each well.

  15. Graded quality assurance in procurement

    SciTech Connect (OSTI)

    Fan, D.C.

    1995-12-31

    The Code of Federal Regulations, Part 50, Appendix B, requires every applicant for an operating license to include in its final safety analysis report information pertaining to the managerial and administrative controls to be used to ensure safe operation. This appendix establishes quality assurance requirements for the design, construction, and operation of those structures, systems, and components (SSC) that perform safety-related functions. The activities affecting safety-related SSC functions include designing, purchasing, fabricating, and so forth, Title 10 CFR 50.65 established requirements to ensure that the maintenance activities conducted by licensees are effective. This is also known as the maintenance rule.

  16. The Oil Security Metrics Model: A Tool for Evaluating the Prospective Oil Security Benefits of DOE's Energy Efficiency and Renewable Energy R&D Programs

    SciTech Connect (OSTI)

    Greene, David L; Leiby, Paul Newsome

    2006-05-01

    Energy technology R&D is a cornerstone of U.S. energy policy. Understanding the potential for energy technology R&D to solve the nation's energy problems is critical to formulating a successful R&D program. In light of this, the U.S. Congress requested the National Research Council (NRC) to undertake both retrospective and prospective assessments of the Department of Energy's (DOE's) Energy Efficiency and Fossil Energy Research programs (NRC, 2001; NRC, 2005). ("The Congress continued to express its interest in R&D benefits assessment by providing funds for the NRC to build on the retrospective methodology to develop a methodology for assessing prospective benefits." NRC, 2005, p. ES-2) In 2004, the NRC Committee on Prospective Benefits of DOE's Energy Efficiency and Fossil Energy R&D Programs published a report recommending a new framework and principles for prospective benefits assessment. The Committee explicitly deferred the issue of estimating security benefits to future work. Recognizing the need for a rigorous framework for assessing the energy security benefits of its R&D programs, the DOE's Office of Energy Efficiency and Renewable Energy (EERE) developed a framework and approach for defining energy security metrics for R&D programs to use in gauging the energy security benefits of their programs (Lee, 2005). This report describes methods for estimating the prospective oil security benefits of EERE's R&D programs that are consistent with the methodologies of the NRC (2005) Committee and that build on Lee's (2005) framework. Its objective is to define and implement a method that makes use of the NRC's typology of prospective benefits and methodological framework, satisfies the NRC's criteria for prospective benefits evaluation, and permits measurement of that portion of the prospective energy security benefits of EERE's R&D portfolio related to oil. While the Oil Security Metrics (OSM) methodology described in this report has been specifically developed to estimate the prospective oil security benefits of DOE's R&D programs, it is also applicable to other strategies and policies aimed at changing U.S. petroleum demand.

  17. SERI QC Solar Data Quality Assessment Software

    Energy Science and Technology Software Center (OSTI)

    1994-12-31

    SERI QC is a mathematical software package that assesses the quality of solar radiation data. The SERI QC software is a function written in the C programming language. IT IS NOT A STANDALONE SOFTWARE APPLICATION. The user must write the calling application that requires quality assessment of solar data. The C function returns data quality flags to the calling program. A companion program, QCFIT, is a standalone Windows application that provides support files for themore » SERI QC function (data quality boundaries). The QCFIT software can also be used as an analytical tool for visualizing solar data quality independent of the SERI QC function.« less

  18. National Coal Quality Inventory (NACQI)

    SciTech Connect (OSTI)

    Robert Finkelman

    2005-09-30

    The U.S. Geological Survey (USGS) conducted the National Coal Quality Inventory (NaCQI) between 1999 and 2005 to address a need for quality information on coals that will be mined during the next 20-30 years. Collaboration between the USGS, State geological surveys, universities, coal burning utilities, and the coal mining industry plus funding support from the Electric Power Research Institute (EPRI) and the U.S. Department of Energy (DOE) permitted collection and submittal of coal samples for analysis. The chemical data (proximate and ultimate analyses; major, minor and trace element concentrations) for 729 samples of raw or prepared coal, coal associated shale, and coal combustion products (fly ash, hopper ash, bottom ash and gypsum) from nine coal producing States are included. In addition, the project identified a new coal reference analytical standard, to be designated CWE-1 (West Elk Mine, Gunnison County, Colorado) that is a high-volatile-B or high-volatile-A bituminous coal with low contents of ash yield and sulfur, and very low, but detectable contents of chlorine, mercury and other trace elements.

  19. Low-Level Waste Requirements

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

    1999-07-09

    The guide provides criteria for determining which DOE radioactive wastes are to be managed as low-level waste in accordance with DOE M 435.1-1, Chapter IV.

  20. High-Level Waste Requirements

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

    1999-07-09

    The guide provides the criteria for determining which DOE radioactive wastes are to be managed as high-level waste in accordance with DOE M 435.1-1.

  1. 2011 Air Quality Regulations Report | Department of Energy

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

    Air Quality Regulations Report 2011 Air Quality Regulations Report PDF icon 2011 Air Quality Regulations Report120111.pdf More Documents & Publications 2011:...

  2. 2011: Air Quality Regulations Report | Department of Energy

    Office of Environmental Management (EM)

    : Air Quality Regulations Report 2011: Air Quality Regulations Report PDF icon 2011 Air Quality Regulations ReportA120911.pdf More Documents & Publications 2011...

  3. RAPID/Geothermal/Air Quality/Alaska | Open Energy Information

    Open Energy Info (EERE)

    RAPIDGeothermalAir QualityAlaska < RAPID | Geothermal | Air Quality(Redirected from RAPIDOverviewGeothermalAir QualityAlaska) Jump to: navigation, search RAPID...

  4. 1994 Ergonomics Program Quality Evaluation

    SciTech Connect (OSTI)

    Longbotham, L.; Miller, D.P.

    1995-06-01

    A telephone survey was conducted to evaluate the quality of service provided to the primary customers of the Corporate Ergonomics Group (CEG). One hundred clients who received services between October 1993 and June 1994 were asked questions on their expectations, implementation of ergonomic recommendations, follow-ups, time required, productivity improvements, symptom alleviation, and satisfaction. Suggestions on how processes could be improved were also solicited. In general, recommendations are being implemented, worksite evaluations are going smoothly, and customers are satisfied with the process. The CEG was pleased to learn that half of the people who implemented recommendations experienced improvements in productivity, and four out of five symptomatic customers experienced partial or complete relief. Through analysis of the data and by studying clients` suggestions for process improvement, the CEG has developed a strategy for changing and improving current procedures and practices. These plans can be found in the last section of this report.

  5. Opening Remarks, Achieving Air Quality and Climate Change Goals through Energy and Transportation Transformation

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

    Air Quality and Climate Change Goals through Energy and Transportation Transformation Analisa Bevan CARB May 14, 2014 Sacramento California  Healthy Air Quality for All Californians  Continued progress towards ozone attainment  Reduce localized exposure to pollutants and toxics  Stable Global Climate  Reduce greenhouse gases (GHG) 80% below 1990 levels by 2050 Driving Forces Behind CARB Policies 2 Source: American Lung Association Over 90% of Californians still breathing unhealthy

  6. U.S. NO₂ trends (2005-2013): EPA air quality system (AQS) data versus

    Office of Scientific and Technical Information (OSTI)

    improved observations from the Ozone Monitoring Instrument (OMI) (Journal Article) | DOE PAGES Accepted Manuscript: U.S. NO₂ trends (2005-2013): EPA air quality system (AQS) data versus improved observations from the Ozone Monitoring Instrument (OMI) Title: U.S. NO₂ trends (2005-2013): EPA air quality system (AQS) data versus improved observations from the Ozone Monitoring Instrument (OMI) Emissions of nitrogen oxides (NOx) and, subsequently, atmospheric levels of nitrogen dioxide

  7. High pressure liquid level monitor

    DOE Patents [OSTI]

    Bean, Vern E. (Frederick, MD); Long, Frederick G. (Ijamsville, MD)

    1984-01-01

    A liquid level monitor for tracking the level of a coal slurry in a high-pressure vessel including a toroidal-shaped float with magnetically permeable bands thereon disposed within the vessel, two pairs of magnetic field generators and detectors disposed outside the vessel adjacent the top and bottom thereof and magnetically coupled to the magnetically permeable bands on the float, and signal processing circuitry for combining signals from the top and bottom detectors for generating a monotonically increasing analog control signal which is a function of liquid level. The control signal may be utilized to operate high-pressure control valves associated with processes in which the high-pressure vessel is used.

  8. Level indicator for pressure vessels

    DOE Patents [OSTI]

    Not Available

    1982-04-28

    A liquid-level monitor for tracking the level of a coal slurry in a high-pressure vessel including a toroidal-shaped float with magnetically permeable bands thereon disposed within the vessel, two pairs of magnetic-field generators and detectors disposed outside the vessel adjacent the top and bottom thereof and magnetically coupled to the magnetically permeable bands on the float, and signal-processing circuitry for combining signals from the top and bottom detectors for generating a monotonically increasing analog control signal which is a function of liquid level. The control signal may be utilized to operate high-pressure control valves associated with processes in which the high-pressure vessel is used.

  9. Downstream effects of mountaintop coal mining: comparing biological conditions using family- and genus-level macroinvertebrate bioassessment tools

    SciTech Connect (OSTI)

    Pond, G.J.; Passmore, M.E.; Borsuk, F.A.; Reynolds, L.; Rose, C.J.

    2008-09-15

    Surface coal mining with valley fills has impaired the aquatic life in numerous streams in the Central Appalachian Mountains. We characterized macroinvertebrate communities from riffles in 37 small West Virginia streams (10 unmined and 27 mined sites with valley fills) sampled in the spring index period (March-May) and compared the assessment results using family- and genus-level taxonomic data. Specific conductance was used to categorize levels of mining disturbance in mined watersheds as low (<500 {mu} S/cm), medium (500-1000 {mu} S/cm), or high (>1000 {mu} S/cm). Four lines of evidence indicate that mining activities impair biological condition of streams: shift in species assemblages, loss of Epherneroptera taxa, changes in individual metrics and indices, and differences in water chemistry. Results were consistent whether family- or genus-level data were used. In both family- and genus-level nonmetric multidimensional scaling (NMS) ordinations, mined sites were significantly separated from unmined sites, indicating that shifts in community structure were caused by mining. Several Epherneroptera genera (e.g., Ephemerella, Epeorus, Drunella) and their families (Ephemerellidae, Heptageniidae) were correlated most strongly with the primary NMS axis. These same Ephemeroptera were absent and, thus, eliminated from most of the mined sites. Total Ephemeroptera richness and relative abundance both declined with increasing mining disturbance. Several other metrics, such as richness, composition, tolerance, and diversity, clearly discriminated unmined vs mined sites. The results show that mining activity has had subtle to severe impacts on benthic macroinvertebrate communities and that the biological condition most strongly correlates with a gradient of ionic strength.

  10. Energy Level Diagrams A=12

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

    2 Available in the following years: (1990), (1985), (1980), (1975), (1968), (1959) A=12 Energy Level Diagrams from (1990AJ01) GIF (Graphic Interchange Format): 12Be (48 KB) 12B (93 KB) 12C (129 KB) 12N (63 KB) Isobar diagram (91 KB) PDF (Portable Document Format): 12Be (30 KB) 12B (52 KB) 12C (72 KB) 12N (40 KB) Isobar diagram (57 KB) EPS (Encapsulated Postscript): 12Be (1.39 MB) 12B (1.80 MB) 12C (1.89 MB) 12N (1.66 MB) Isobar diagram (1.75 MB) A=12 Energy Level Diagrams from (1985AJ01) GIF

  11. Energy Level Diagrams A=13

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

    3 Available in the following years: (1991), (1986), (1981), (1976), (1970), (1959) A=13 Energy Level Diagrams from (1991AJ01) GIF (Graphic Interchange Format): 13B (53 KB) 13C (115 KB) 13N (107 KB) Isobar diagram (94 KB) PDF (Portable Document Format): 13B (35 KB) 13C (63 KB) 13N (56 KB) Isobar diagram (56 KB) EPS (Encapsulated Postscript): 13B (1.5 MB) 13C (1.7 MB) 13N (1.4 MB) Isobar diagram (1.5 MB) A=13 Energy Level Diagrams from (1986AJ01) GIF (Graphic Interchange Format): 13B (72 KB) 13C

  12. Energy Level Diagrams A=15

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

    5 Available in the following years: (1991), (1986), (1981), (1976), (1970), (1959) A=15 Energy Level Diagrams from (1991AJ01) GIF (Graphic Interchange Format): 15C (67 KB) 15N (114 KB) 15O (106 KB) Isobar diagram (100 KB) PDF (Portable Document Format): 15C (43 KB) 15N (69 KB) 15O (59 KB) Isobar diagram (58 KB) EPS (Encapsulated Postscript): 15C (1.82 MB) 15N (1.98 MB) 15O (1.67 MB) Isobar diagram (1.83 MB) A=15 Energy Level Diagrams from (1986AJ01) GIF (Graphic Interchange Format): 15C (52 KB)

  13. Energy Level Diagrams A=16

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

    6 Available in the following years: (1993), (1986), (1982), (1977), (1971), (1959) A=16 Energy Level Diagrams from (1993TI07) GIF (Graphic Interchange Format): 16C (223 KB) 16N (274 KB) 16O (176 KB) 16F (106 KB) Isobar diagram (190 KB) PDF (Portable Document Format): 16C (154 KB) 16N (71 KB) 16O (178 KB) 16F (108 KB) Isobar diagram (266 KB) EPS (Encapsulated Postscript): 16C (542 KB) 16N (430 KB) 16O (178 KB) 16F (357 KB) Isobar diagram (190 KB) A=16 Energy Level Diagrams from (1986AJ04) GIF

  14. Energy Level Diagrams A=17

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

    7 Available in the following years: (1993), (1986), (1982), (1977), (1971), (1959) A=17 Energy Level Diagrams from (1993TI07) GIF (Graphic Interchange Format): 17N (104 KB) 17O (148 KB) 17F (155 KB) Isobar diagram (82 KB) PDF (Portable Document Format): 17N (107 KB) 17O (141 KB) 17F (147 KB) Isobar diagram (90 KB) EPS (Encapsulated Postscript): 17N (107 KB) 17O (141 KB) 17F (147 KB) Isobar diagram (90 KB) A=17 Energy Level Diagrams from (1986AJ04) GIF (Graphic Interchange Format): 17N (76 KB)

  15. Energy Level Diagrams A=18

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

    8 Available in the following years: (1995), (1987), (1983), (1978), (1972), (1959) A=18 Energy Level Diagrams from (1995TI07) GIF (Graphic Interchange Format): 18N (34 KB) 18O (97 KB) 18F (89 KB) 18Ne (56 KB) Isobar diagram (87 KB) PDF (Portable Document Format): 18N (13 KB) 18O (56 KB) 18F (54 KB) 18Ne (36 KB) Isobar diagram (50 KB) EPS (Encapsulated Postscript): 18N (13 KB) 18O (1.98 MB) 18F (1.40 MB) 18Ne (1.64 MB) Isobar diagram (1.79 MB) A=18 Energy Level Diagrams from (1987AJ02) GIF

  16. Energy Level Diagrams A=19

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

    19 Available in the following years: (1995), (1987), (1983), (1978), (1972), (1959) A=19 Energy Level Diagrams from (1995TI07) GIF (Graphic Interchange Format): 19O (50 KB) 19F (99 KB) 19Ne (53 KB) Isobar diagram (65 KB) PDF (Portable Document Format): 19O (34 KB) 19F (63 KB) 19Ne (35 KB) Isobar diagram (43 KB) EPS (Encapsulated Postscript): 19O (1.60 MB) 19F (1.82 MB) 19Ne (1.26 MB) Isobar diagram (1.55 MB) A=19 Energy Level Diagrams from (1987AJ02) GIF (Graphic Interchange Format): 19O (204

  17. Energy Level Diagrams A=20

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

    20 Available in the following years: (1998), (1987), (1983), (1978), (1972), (1959) A=20 Energy Level Diagrams from (1998TI06) GIF (Graphic Interchange Format): 20O (47 KB) 20F (61 KB) 20Ne (75 KB) 20Na (61 KB) Isobar diagram (73 KB) PDF (Portable Document Format): 20O (31 KB) 20F (40 KB) 20Ne (51 KB) 20Na (41 KB) Isobar diagram (47 KB) EPS (Encapsulated Postscript): 20O (1.44 MB) 20F (1.45 MB) 20Ne (1.38 MB) 20Na (1.75 MB) Isobar diagram (1.73 MB) A=20 Energy Level Diagrams from (1987AJ02) GIF

  18. Energy Level Diagrams A=5

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

    5 Available in the following years: (2002), (1988), (1984), (1979), (1974), (1966), (1959) A=5 Energy Level Diagrams from (2002TI10) GIF (Graphic Interchange Format): 5He (28 KB) 5Li (28 KB) Isobar diagram (20 KB) PDF (Portable Document Format): 5He (40 KB) 5Li (40 KB) Isobar diagram (36 KB) EPS (Encapsulated Postscript): 5He (1.7 MB) 5Li (1.7 MB) Isobar diagram (1.6 MB) A=5 Energy Level Diagrams from (1988AJ01) GIF (Graphic Interchange Format): 5He (67 KB) 5Li (70 KB) Isobar diagram (55 KB) PDF

  19. Energy Level Diagrams A=6

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

    6 Available in the following years: (2002), (1988), (1984), (1979), (1974), (1966), (1959) A=6 Energy Level Diagrams from (2002TI10) GIF (Graphic Interchange Format): 6He (98 KB) 6Li (98 KB) 6Be (98 KB) Isobar Diagram (130 KB) PDF (Portable Document Format): 6He (65 KB) 6Li (65 KB) 6Be (33 KB) Isobar Diagram (65 KB) EPS (Encapsulated Postscript): 6He (1.5 MB) 6Li (1.5 MB) 6Be (1.3 MB) Isobar Diagram (1.7 MB) A=6 Energy Level Diagrams from (1988AJ01) GIF (Graphic Interchange Format): 6He (50 KB)

  20. Energy Level Diagrams A=7

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

    7 Available in the following years: (2002), (1988), (1984), (1979), (1974), (1966), (1959) A=7 Energy Level Diagrams from (2002TI10) GIF (Graphic Interchange Format): 7He (65 KB) 7Li (130 KB) 7Be (65 KB) Isobar Diagram (65 KB) PDF (Portable Document Format): 7He (35 KB) 7Li (65 KB) 7Be (65 KB) Isobar Diagram (65 KB) EPS (Encapsulated Postscript): 7He (1.7 MB) 7Li (1.8 MB) 7Be (1.6 MB) Isobar Diagram (1.6 MB) A=7 Energy Level Diagrams from (1988AJ01) GIF (Graphic Interchange Format): 7Li (80 KB)

  1. Energy Level Diagrams A=8

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

    8 Available in the following years: (2004), (1988), (1984), (1979), (1974), (1966), (1959) A=8 Energy Level Diagrams from (2004TI06) GIF (Graphic Interchange Format): 8He (20 KB) 8Li (194 KB) 8Be (44 KB) 8B (24 KB) Isobar diagram (36 KB) PDF (Portable Document Format): 8He (28 KB) 8Li (703 KB) 8Be (60 KB) 8B (32 KB) Isobar diagram (48 KB) EPS (Encapsulated Postscript): 8He (1.7 MB) 8Li (1.1 MB) 8Be (1.5 MB) 8B (1.4 MB) Isobar diagram (1.5 MB) A=8 Energy Level Diagrams from (1988AJ01) GIF

  2. Toward accurate tooth segmentation from computed tomography images using a hybrid level set model

    SciTech Connect (OSTI)

    Gan, Yangzhou; Zhao, Qunfei; Xia, Zeyang E-mail: jing.xiong@siat.ac.cn; Hu, Ying; Xiong, Jing E-mail: jing.xiong@siat.ac.cn; Zhang, Jianwei

    2015-01-15

    Purpose: A three-dimensional (3D) model of the teeth provides important information for orthodontic diagnosis and treatment planning. Tooth segmentation is an essential step in generating the 3D digital model from computed tomography (CT) images. The aim of this study is to develop an accurate and efficient tooth segmentation method from CT images. Methods: The 3D dental CT volumetric images are segmented slice by slice in a two-dimensional (2D) transverse plane. The 2D segmentation is composed of a manual initialization step and an automatic slice by slice segmentation step. In the manual initialization step, the user manually picks a starting slice and selects a seed point for each tooth in this slice. In the automatic slice segmentation step, a developed hybrid level set model is applied to segment tooth contours from each slice. Tooth contour propagation strategy is employed to initialize the level set function automatically. Cone beam CT (CBCT) images of two subjects were used to tune the parameters. Images of 16 additional subjects were used to validate the performance of the method. Volume overlap metrics and surface distance metrics were adopted to assess the segmentation accuracy quantitatively. The volume overlap metrics were volume difference (VD, mm{sup 3}) and Dice similarity coefficient (DSC, %). The surface distance metrics were average symmetric surface distance (ASSD, mm), RMS (root mean square) symmetric surface distance (RMSSSD, mm), and maximum symmetric surface distance (MSSD, mm). Computation time was recorded to assess the efficiency. The performance of the proposed method has been compared with two state-of-the-art methods. Results: For the tested CBCT images, the VD, DSC, ASSD, RMSSSD, and MSSD for the incisor were 38.16 ± 12.94 mm{sup 3}, 88.82 ± 2.14%, 0.29 ± 0.03 mm, 0.32 ± 0.08 mm, and 1.25 ± 0.58 mm, respectively; the VD, DSC, ASSD, RMSSSD, and MSSD for the canine were 49.12 ± 9.33 mm{sup 3}, 91.57 ± 0.82%, 0.27 ± 0.02 mm, 0.28 ± 0.03 mm, and 1.06 ± 0.40 mm, respectively; the VD, DSC, ASSD, RMSSSD, and MSSD for the premolar were 37.95 ± 10.13 mm{sup 3}, 92.45 ± 2.29%, 0.29 ± 0.06 mm, 0.33 ± 0.10 mm, and 1.28 ± 0.72 mm, respectively; the VD, DSC, ASSD, RMSSSD, and MSSD for the molar were 52.38 ± 17.27 mm{sup 3}, 94.12 ± 1.38%, 0.30 ± 0.08 mm, 0.35 ± 0.17 mm, and 1.52 ± 0.75 mm, respectively. The computation time of the proposed method for segmenting CBCT images of one subject was 7.25 ± 0.73 min. Compared with two other methods, the proposed method achieves significant improvement in terms of accuracy. Conclusions: The presented tooth segmentation method can be used to segment tooth contours from CT images accurately and efficiently.

  3. EERE Quality Control Workshop | Department of Energy

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

    EERE Quality Control Workshop EERE Quality Control Workshop The U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) held the Office of Energy Efficiency and Renewable Energy (EERE) Quality Control Workshop on December 9-10, 2013, in Golden, Colorado. The workshop was co-sponsored by the following EERE offices: Fuel Cell Technologies Office Solar Energy Technologies Office Vehicle Technologies Office Building Technologies Office Advanced Manufacturing Office. The

  4. Waste Receipt Quality Assurance Program - Hanford Site

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

    Receipt Quality Assurance Program About Us Hanford Site Solid Waste Acceptance Program What's New Acceptance Criteria Acceptance Process Becoming a new Hanford Customer Annual Waste Forecast and Funding Arrangements Waste Stream Approval Waste Shipment Approval Waste Receipt Quality Assurance Program Waste Specification Records Tools Points of Contact Waste Receipt Quality Assurance Program Email Email Page | Print Print Page |Text Increase Font Size Decrease Font Size The Hanford Site has a

  5. Council on Environmental Quality | Department of Energy

    Energy Savers [EERE]

    Council on Environmental Quality Council on Environmental Quality Selected documents prepared by the Council on Environmental Quality that provide guidance on the NEPA process. December 18, 2014 Final Guidance for Effective Use of Programmatic NEPA Review On December 18, 2014, CEQ published final guidance that provides clarification on when and how Federal agencies can use programmatic NEPA reviews in accordance with the National Environmental Policy Act (NEPA) and the CEQ NEPA Regulations.

  6. EM Quality Assurance Policy, Revision 0

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

    Office of Environmental Management Corporate Quality Policy The Office of Environmental Management recognizes that individuals performing work determine whether it is done correctly in accordance with all requirements and therefore achieves quality. Although "do work safely" is our first priority, we understand it is also essential to "do work correctly" or both safety and quality are jeopardized. While plans, procedures, and instructions are commonly understood elements of

  7. Quality Procedure - Lessons Learned | Department of Energy

    Energy Savers [EERE]

    Lessons Learned Quality Procedure - Lessons Learned The purpose of this Quality Procedure is to assist the Office of Standards and Quality Assurance personnel during the execution and operation of its activities, specifically in oversight activities, to compile and disseminate information related to lessons learned. The purpose of lessons learned is to share and use knowledge derived from experience to promote the recurrence of desirable outcomes, or preclude the recurrence of undesirable

  8. Quality Procedure - Stop Work | Department of Energy

    Energy Savers [EERE]

    Stop Work Quality Procedure - Stop Work This Quality Procedure establishes the Office of Standards and Quality Assurance authority, responsibilities, and instructions to direct that unsafe work be stopped, during the execution and operations of its activities, specifically in oversight activities. this procedure is utilized and accomplished upon coordination with management of the Environmental Management (EM) Headquarters and Field Office. This procedure also provides provisions for the restart

  9. Safety & Quality Assurance | Department of Energy

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

    Safety & Quality Assurance Safety & Quality Assurance Federal oversight helps ensure employees observe best practices as they perform building demolitions and site cleanup. Federal oversight helps ensure employees observe best practices as they perform building demolitions and site cleanup. Together, our Facility Operations Division and Engineering, Safety and Quality Division work to ensure EM conducts its operations and cleanup safely through sound practices. These divisions ensure

  10. QUALITY ASSURANCE EXCHANGE July 2005 Volume 1 Issue 1

    Broader source: Energy.gov [DOE]

    QUALITY ASSURANCE EXCHANGE July 2005 Volume 1 Issue 1 US Department of Energy, Office of Quality Assurance Programs (EH-31)

  11. Quality Control, Standardization of Upgrades, and Workforce Expectatio...

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

    Quality Control, Standardization of Upgrades, and Workforce Expectations Quality Control, Standardization of Upgrades, and Workforce Expectations Better Buildings Residential ...

  12. Arizona Department of Environmental Quality's AZPDES Website...

    Open Energy Info (EERE)

    AZPDES Website Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Arizona Department of Environmental Quality's AZPDES Website Abstract This website...

  13. Safety Software Quality Assurance Functional Area Qualification...

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

    72-2011, Safety Software Quality Assurance Functional Area Qualification Standard by Diane Johnson This SSQA FAQS identifies the minimum technical competency requirements for DOE...

  14. Montana Environmental Quality Council | Open Energy Information

    Open Energy Info (EERE)

    Council Jump to: navigation, search Name: Montana Environmental Quality Council Address: Legislative Environmental Policy Office PO Box 201704 Place: Helena, Montana Zip:...

  15. Council on Environmental Quality - Guidance for Environmental...

    Open Energy Info (EERE)

    Jump to: navigation, search OpenEI Reference LibraryAdd to library Memorandum: Council on Environmental Quality - Guidance for Environmental Assessments of Forest Health...

  16. Quality Control Inspector: Different Programs, Different Responsibilit...

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

    More Documents & Publications QCI Exam Test-Taking Tips from Community Housing Partners (CHP) Assorted QCI Tips and Standards Review Quality Control Inspector (QCI) Pre-Exam Quiz...

  17. Cal. PRC Section 21065 - Environmental Quality Definitions |...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: Cal. PRC Section 21065 - Environmental Quality DefinitionsLegal Abstract Contains...

  18. Colorado Water Quality Certification General Information | Open...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: Colorado Water Quality Certification General InformationLegal Abstract The Colorado Department of...

  19. Montana Water Quality Permit Application, Nondegradation Authorization...

    Open Energy Info (EERE)

    Water Quality Permit Application, Nondegradation Authorization, and Permit Fees Jump to: navigation, search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance -...

  20. SWiFT Software Quality Assurance Plan.

    SciTech Connect (OSTI)

    Berg, Jonathan Charles

    2016-01-01

    This document describes the software development practice areas and processes which contribute to the ability of SWiFT software developers to provide quality software. These processes are designed to satisfy the requirements set forth by the Sandia Software Quality Assurance Program (SSQAP). APPROVALS SWiFT Software Quality Assurance Plan (SAND2016-0765) approved by: Department Manager SWiFT Site Lead Dave Minster (6121) Date Jonathan White (6121) Date SWiFT Controls Engineer Jonathan Berg (6121) Date CHANGE HISTORY Issue Date Originator(s) Description A 2016/01/27 Jon Berg (06121) Initial release of the SWiFT Software Quality Assurance Plan

  1. Oregon Water Quality Permit Program (Stormwater - Industrial...

    Open Energy Info (EERE)

    Activities) Website Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Oregon Water Quality Permit Program (Stormwater - Industrial Activities) Website...

  2. Quality New Mexico recognizes Community Programs Office

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

    Quality New Mexico recognizes Community Programs Office March 6, 2012 LOS ALAMOS, New Mexico, March 6, 2012-Los Alamos National Laboratory's Community Programs Office received...

  3. Arizona Department of Environmental Quality's Individual Permits...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Web Site: Arizona Department of Environmental Quality's Individual Permits Website Abstract This website contains information...

  4. Arizona Department of Environmental Quality's General Permits...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Web Site: Arizona Department of Environmental Quality's General Permits Website Abstract This website provides information...

  5. Arizona Department of Environmental Quality's Application Forms...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Web Site: Arizona Department of Environmental Quality's Application Forms and Guidance Website Abstract This site contains forms...

  6. Oregon Department of Environmental Quality Contacts Webpage ...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Web Site: Oregon Department of Environmental Quality Contacts Webpage Abstract Contact information for DEQ. Author Oregon...

  7. NREL Job Task Analysis: Quality Control Inspector

    SciTech Connect (OSTI)

    Kurnik, C.; Woodley, C.

    2011-05-01

    A summary of job task analyses for the position of quality control inspector when evaluating weatherization work that has been done on a residence.

  8. DOE Challenge Home Recommended Quality Management Provisions...

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

    DOE Challenge Home Recommended Quality Management Provisions. PDF icon qm6-14-13.pdf More Documents & Publications Version Tracking Document for DOE Challenge Homes, National ...

  9. Safety, Quality, Innovation Highlight Accomplishments at Savannah...

    National Nuclear Security Administration (NNSA)

    Safety, Quality, Innovation Highlight Accomplishments at Savannah River Site Tritium Programs for FY 2011 | National Nuclear Security Administration Facebook Twitter Youtube Flickr...

  10. SOPP-43, EM-23 Quality Assurance Oversight

    Energy Savers [EERE]

    POLICY: The Office of Environmental Management (EM) Quality Assurance program requirements and expectations are documented in the EM Quality Assurance Program (QAP), EM-QA-001, dated October 2008. The QAP is the EM management system to ensure that all EM organizations "do work correctly." The QAP meets the requirements of DOE O 414.1C, Quality Assurance, and 10 CFR 830 Subpart A "Quality Assurance Requirements." The QAP demonstrates how QA and the Integrated Safety

  11. Maintaining System Air Quality | Department of Energy

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

    PDF icon Maintaining System Air Quality (August 2004) More Documents & Publications Remove Condensate with Minimal Air Loss Engineer End Uses for Maximum Efficiency Stabilizing ...

  12. FAQS Reference Guide – Weapon Quality Assurance

    Office of Energy Efficiency and Renewable Energy (EERE)

    This reference guide addresses the competency statements in the August 2008 edition of DOE-STD-1025-2008, Weapon Quality Assurance Functional Area Qualification Standard.

  13. Waste Receipt Quality Assurance Program - Hanford Site

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

    Receipt Quality Assurance Program About Us Hanford Site Solid Waste Acceptance Program What's New Acceptance Criteria Acceptance Process Becoming a new Hanford Customer Annual...

  14. A File System Utilization Metric

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

    in order to ensure resources are adequately provisioned. Although it is relatively straightforward to- day to measure the total amount of IO to and from a file system, and the...

  15. The role of Health Impact Assessment in the setting of air quality standards: An Australian perspective

    SciTech Connect (OSTI)

    Spickett, Jeffery; Faculty of Health Sciences, School of Public Health, Curtin University, Perth, Western Australia ; Katscherian, Dianne; Faculty of Health Sciences, School of Public Health, Curtin University, Perth, Western Australia ; Harris, Patrick

    2013-11-15

    The approaches used for setting or reviewing air quality standards vary from country to country. The purpose of this research was to consider the potential to improve decision-making through integration of HIA into the processes to review and set air quality standards used in Australia. To assess the value of HIA in this policy process, its strengths and weaknesses were evaluated aligned with review of international processes for setting air quality standards. Air quality standard setting programmes elsewhere have either used HIA or have amalgamated and incorporated factors normally found within HIA frameworks. They clearly demonstrate the value of a formalised HIA process for setting air quality standards in Australia. The following elements should be taken into consideration when using HIA in standard setting. (a) The adequacy of a mainly technical approach in current standard setting procedures to consider social determinants of health. (b) The importance of risk assessment criteria and information within the HIA process. The assessment of risk should consider equity, the distribution of variations in air quality in different locations and the potential impacts on health. (c) The uncertainties in extrapolating evidence from one population to another or to subpopulations, especially the more vulnerable, due to differing environmental factors and population variables. (d) The significance of communication with all potential stakeholders on issues associated with the management of air quality. In Australia there is also an opportunity for HIA to be used in conjunction with the NEPM to develop local air quality standard measures. The outcomes of this research indicated that the use of HIA for air quality standard setting at the national and local levels would prove advantageous. -- Highlights: Health Impact Assessment framework has been applied to a policy development process. HIA process was evaluated for application in air quality standard setting. Advantages of HIA in the air quality standard setting process are demonstrated.

  16. High temperature liquid level sensor

    DOE Patents [OSTI]

    Tokarz, Richard D. (West Richland, WA)

    1983-01-01

    A length of metal sheathed metal oxide cable is perforated to permit liquid access to the insulation about a pair of conductors spaced close to one another. Changes in resistance across the conductors will be a function of liquid level, since the wetted insulation will have greater electrical conductivity than that of the dry insulation above the liquid elevation.

  17. Quality Procedure - Approved Suppliers List | Department of Energy

    Energy Savers [EERE]

    Approved Suppliers List Quality Procedure - Approved Suppliers List This procedure establishes the responsibilities, process, and records for developing and maintaining the Approved Suppliers List (ASL) for EM Headquarters Office of Standards and Quality Assurance in accordance with EM-QA-001, Environmental Management Quality Assurance Program. PDF icon Quality Procedure - Approved Suppliers List More Documents & Publications Quality Procedure - Supplier Qualification Quality Procedure -

  18. Environmental Restoration Quality Program Plan

    SciTech Connect (OSTI)

    Colley, J.S.

    1992-08-01

    The Martin Marietta Energy Systems, Inc., Environmental Restoration (ER) Program was initially chartered on October 1, 1989, as a entral Environmental Restoration Division'' to manage the investigation and remediation of inactive sites and facilities that have been declared surplus and have no further programmatic use. The Energy Systems ER Division was established to support the DOE Oak Ridge Field Office (DOE-OR) consolidated ER Program. The DOE-OR Assistant Manager for Environmental Restoration and Waste Management provides program and budget direction to the Energy Systems ER Program for environmental restoration activities at the sites operated by Energy Systems (Oak Ridge K-25 Site, Oak Ridge National Laboratory, Oak Ridge Y-12 Plant, Paducah Gaseous Diffusion Plant, Portsmouth Gaseous Diffusion Plant) and at the off-site locations. The Energy Systems ER Division is specifically charged with assessing these sites for potential contamination and managing the cleanup processes. The Energy Systems Environmental Restoration Division was chartered on October 1, 1989, as a central organization to manage the Remedial Action (RA) Program. The purpose of this document is to ensure that: senior ER management provides planning, organization, direction, control, and support to achieve the organization's objectives; the line organization achieves quality; and overall performance is reviewed and evaluated using a rigorous assessment process.

  19. Research Finds Vitamin D Deficiency Affects Bone Quality

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

    Research Finds Vitamin D Deficiency Affects Bone Quality Print Vitamin D deficiency is a widespread medical condition that plays a major role in human bone health. Scientists know that a lack of vitamin D can cause bone diseases such as rickets and osteomalacia. Now a team of researchers working at the ALS has also found that vitamin D deficiency plays a significant role in the bone-aging process. Low levels of vitamin D, the "sunshine vitamin," have been previously linked to the

  20. Research Finds Vitamin D Deficiency Affects Bone Quality

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

    Research Finds Vitamin D Deficiency Affects Bone Quality Print Vitamin D deficiency is a widespread medical condition that plays a major role in human bone health. Scientists know that a lack of vitamin D can cause bone diseases such as rickets and osteomalacia. Now a team of researchers working at the ALS has also found that vitamin D deficiency plays a significant role in the bone-aging process. Low levels of vitamin D, the "sunshine vitamin," have been previously linked to the

  1. Research Finds Vitamin D Deficiency Affects Bone Quality

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

    Research Finds Vitamin D Deficiency Affects Bone Quality Print Vitamin D deficiency is a widespread medical condition that plays a major role in human bone health. Scientists know that a lack of vitamin D can cause bone diseases such as rickets and osteomalacia. Now a team of researchers working at the ALS has also found that vitamin D deficiency plays a significant role in the bone-aging process. Low levels of vitamin D, the "sunshine vitamin," have been previously linked to the

  2. Research Finds Vitamin D Deficiency Affects Bone Quality

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

    Research Finds Vitamin D Deficiency Affects Bone Quality Print Vitamin D deficiency is a widespread medical condition that plays a major role in human bone health. Scientists know that a lack of vitamin D can cause bone diseases such as rickets and osteomalacia. Now a team of researchers working at the ALS has also found that vitamin D deficiency plays a significant role in the bone-aging process. Low levels of vitamin D, the "sunshine vitamin," have been previously linked to the

  3. Research Finds Vitamin D Deficiency Affects Bone Quality

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

    Research Finds Vitamin D Deficiency Affects Bone Quality Print Vitamin D deficiency is a widespread medical condition that plays a major role in human bone health. Scientists know that a lack of vitamin D can cause bone diseases such as rickets and osteomalacia. Now a team of researchers working at the ALS has also found that vitamin D deficiency plays a significant role in the bone-aging process. Low levels of vitamin D, the "sunshine vitamin," have been previously linked to the

  4. Research Finds Vitamin D Deficiency Affects Bone Quality

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

    Research Finds Vitamin D Deficiency Affects Bone Quality Print Vitamin D deficiency is a widespread medical condition that plays a major role in human bone health. Scientists know that a lack of vitamin D can cause bone diseases such as rickets and osteomalacia. Now a team of researchers working at the ALS has also found that vitamin D deficiency plays a significant role in the bone-aging process. Low levels of vitamin D, the "sunshine vitamin," have been previously linked to the

  5. Levelized Power Generation Cost Codes

    Energy Science and Technology Software Center (OSTI)

    1996-04-30

    LPGC is a set of nine microcomputer programs for estimating power generation costs for large steam-electric power plants. These programs permit rapid evaluation using various sets of economic and technical ground rules. The levelized power generation costs calculated may be used to compare the relative economics of nuclear and coal-fired plants based on life-cycle costs. Cost calculations include capital investment cost, operation and maintenance cost, fuel cycle cost, decommissioning cost, and total levelized power generationmore » cost. These programs can be used for quick analyses of power generation costs using alternative economic parameters, such as interest rate, escalation rate, inflation rate, plant lead times, capacity factor, fuel prices, etc. The two major types of electric generating plants considered are pressurized water reactor (PWR) and pulverized coal-fired plants. Data are also provided for the Large Scale Prototype Breeder (LSPB) type liquid metal reactor.« less

  6. Energy Level Diagrams A=9

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

    9 Available in the following years: (2004), (1988), (1984), (1979), (1974), (1966), (1959) A=9 Energy Level Diagrams from (2004TI06) GIF (Graphic Interchange Format): 9Li (24 KB) 9Be (44 KB) 9B (36 KB) 9C (20 KB) Isobar diagram (36 KB) PDF (Portable Document Format): 9Li (36 KB) 9Be (60 KB) 9B (48 KB) 9C (28 KB) Isobar diagram (56 KB) EPS (Encapsulated Postscript): 9Li (1.7 MB) 9Be (1.7 MB) 9B (1.6 MB) 9C (1.7 MB) Isobar diagram (1.8 MB) A=9 Energy Level Diagrams from (1988AJ01) GIF (Graphic

  7. Saving Energy and Improving Environmental Quality

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

    Laboratory Lawrence Berkeley National Laboratory Environmental Energy Technologies Division Environmental Energy Technologies Division (EETD) (EETD) Saving Energy and Improving Saving Energy and Improving Environmental Quality Environmental Quality William J. Fisk William J. Fisk Acting Division Director Acting Division Director What is the Environmental Energy Technologies Division? US Department of Energy National Laboratory System Lawrence Berkeley National Laboratory ~4000 Employees Managed

  8. Quality assurance manual: Volume 2, Appendices

    SciTech Connect (OSTI)

    Oijala, J.E.

    1988-06-01

    This paper contains quality assurance information on departments of the Stanford Linear Accelerator Center. Particular quality assurance policies and standards discussed are on: Mechanical Systems; Klystron and Microwave Department; Electronics Department; Plant Engineering; Accelerator Department; Purchasing; and Experimental Facilities Department. (LSP)

  9. Energy Level Diagrams A=4

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

    4 Available in the following year: (1992) A=4 Energy Level Diagrams from (1992TI02) GIF (Graphic Interchange Format): 4H (38 KB) 4He (90 KB) 4Li (36 KB) Isobar diagram (60 KB) PDF (Portable Document Format): 4H (26 KB) 4He (47 KB) 4Li (24 KB) Isobar diagram (36 KB) EPS (Encapsulated Postscript): 4H (1.32 MB) 4He (1.79 MB) 4Li (1.13 MB) Isobar diagram (1.54 MB

  10. Mid-Level Ethanol Blends

    Office of Environmental Management (EM)

    Mid-Level Ethanol Blends Test Program DOE, NREL, and ORNL Team Presented by Keith Knoll Work supported by DOE/EERE Vehicle Technologies Program Annual Merit Review and Peer Evaluation meeting May 19, 2009 Kevin Stork Vehicle Technologies Program Shab Fardanesh and Joan Glickman Office of the Biomass Program This presentation does not contain any proprietary or classified information Project ID: ft_05_knoll Collaborators Kevin Stork DOE OVT Shab Fardanesh DOE OBP Joan Glickman DOE OBP Wendy Clark

  11. Microgrids and Heterogeneous Power Quality and Reliability

    SciTech Connect (OSTI)

    LaCommare, Kristina; Marnay, Chris

    2007-10-01

    This paper describes two stylized alternative visions of how the power system might evolve to meet future requirements for the high quality electricity service that modern digital economies demand, a supergrids paradigm and a dispersed paradigm. Some of the economics of the dispersed vision are explored, and perspectives are presented on both the choice of homogeneous universal power quality upstream in the electricity supply chain and on the extremely heterogeneous requirements of end-use loads. It is argued that meeting the demanding requirements of sensitive loads by local provision of high quality power may be more cost effective than increasing the quality of universal homogeneous supply upstream in the legacy grid. Finally, the potential role of microgrids in delivering heterogeneous power quality is demonstrated by reference to two ongoing microgrid tests in the U.S. and Japan.

  12. Load Leveling Battery System Costs

    Energy Science and Technology Software Center (OSTI)

    1994-10-12

    SYSPLAN evaluates capital investment in customer side of the meter load leveling battery systems. Such systems reduce the customer's monthly electrical demand charge by reducing the maximum power load supplied by the utility during the customer's peak demand. System equipment consists of a large array of batteries, a current converter, and balance of plant equipment and facilities required to support the battery and converter system. The system is installed on the customer's side of themore » meter and controlled and operated by the customer. Its economic feasibility depends largely on the customer's load profile. Load shape requirements, utility rate structures, and battery equipment cost and performance data serve as bases for determining whether a load leveling battery system is economically feasible for a particular installation. Life-cycle costs for system hardware include all costs associated with the purchase, installation, and operation of battery, converter, and balance of plant facilities and equipment. The SYSPLAN spreadsheet software is specifically designed to evaluate these costs and the reduced demand charge benefits; it completes a 20 year period life cycle cost analysis based on the battery system description and cost data. A built-in sensitivity analysis routine is also included for key battery cost parameters. The life cycle cost analysis spreadsheet is augmented by a system sizing routine to help users identify load leveling system size requirements for their facilities. The optional XSIZE system sizing spreadsheet which is included can be used to identify a range of battery system sizes that might be economically attractive. XSIZE output consisting of system operating requirements can then be passed by the temporary file SIZE to the main SYSPLAN spreadsheet.« less

  13. Energy Level Diagrams A=10

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

    10 Available in the following years: (2004), (1988), (1984), (1979), (1974), (1966), (1959) A=10 Energy Level Diagrams from (2004TI06) GIF (Graphic Interchange Format): 10He (16 KB) 10Li (20 KB) 10Be (36 KB) 10B (44 KB) γ transitions for 10B (32 KB) 10C (20 KB) Isobar diagram (40 KB) PDF (Portable Document Format): 10He (16 KB) 10Li (24 KB) 10Be (48 KB) 10B (56 KB) γ transitions for 10B (44 KB) 10C (28 KB) Isobar diagram (56 KB) EPS (Encapsulated Postscript): 10He (1.6 MB) 10Li (1.6 MB) 10Be

  14. Energy Level Diagrams A=11

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

    1 Available in the following years: (2012), (1990), (1985), (1980), (1975), (1968), (1959) A=11 Energy Level Diagrams from (2012KE01) PNG (Graphic Interchange Format): 11Li (26 KB) 11Be (66 KB) 11Li decay scheme (95 KB) 11B (147 KB) 11C (109 KB) 11N (25 KB) Isobar diagram (74 KB) PDF (Portable Document Format): 11Li (28 KB) 11Be (126 KB) 11Li decay scheme (185 KB) 11B (287 KB) 11C (185 KB) 11N (28 KB) Isobar diagram (245 KB) EPS (Encapsulated Postscript): 11Li (1807 KB) 11Be (2213 KB) 11Li decay

  15. SAPHIRE 8 Software Quality Assurance Oversight

    SciTech Connect (OSTI)

    Kurt G. Vedros

    2011-09-01

    The software quality assurance oversight consists of updating and maintaining revision control of the SAPHIRE 8 quality assurance program documentation and of monitoring revision control of the SAPHIRE 8 source code. This report summarizes the oversight efforts through description of the revision control system (RCS) setup, operation and contents. Documents maintained under revision control include the Acceptance Test Plan (ATP), Configuration Management Plan, Quality Assurance Plan, Software Project Plan, Requirements Traceability Matrix (RTM), System Test Plan, SDP Interface Training Manual, and the SAPHIRE 8, 'New Features and Capabilities Overview'.

  16. Office of Civilian Radioactive Waste Management-Quality Assurance

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

    Requirements and Description | Department of Energy Management-Quality Assurance Requirements and Description Office of Civilian Radioactive Waste Management-Quality Assurance Requirements and Description A report detailling the requirements and description of the Quality Assurance program. PDF icon Office of Civilian Radioactive Waste Management-Quality Assurance Requirements and Description More Documents & Publications Quality Assurance Requirements Civilian Radioactive Waste

  17. Fluorescent optical liquid level sensor

    DOE Patents [OSTI]

    Weiss, Jonathan D. (Albuquerque, NM)

    2001-01-01

    A liquid level sensor comprising a transparent waveguide containing fluorescent material that is excited by light of a first wavelength and emits at a second, longer wavelength. The upper end of the waveguide is connected to a light source at the first wavelength through a beveled portion of the waveguide such that the input light is totally internally reflected within the waveguide above an air/liquid interface in a tank but is transmitted into the liquid below this interface. Light is emitted from the fluorescent material only in those portions of the waveguide that are above the air/liquid interface, to be collected at the upper end of the waveguide by a detector that is sensitive only to the second wavelength. As the interface moves down in the tank, the signal strength from the detector will increase.

  18. Effects on carbon monoxide levels in mobile homes using unvented kerosene heaters for residential heating

    SciTech Connect (OSTI)

    Williams, R.; Walsh, D.; White, J.; Jackson, M.; Mumford, J.

    1992-01-01

    Carbon monoxide (CO) emission levels were continuously monitored in 8 mobile trailer homes less than 10 years old. These homes were monitored in an US EPA study on indoor air quality as affected by unvented portable kerosene heaters. Respondents were asked to operate their heaters in a normal fashion. CO, air exchange and temperature values were measured during the study in each home. Results indicate that consumers using unvented kerosene heaters may be unknowingly exposed to high CO levels without taking proper precautions.

  19. 2012 National Tribal Forum on Air Quality

    Broader source: Energy.gov [DOE]

    This forum on improving air quality will take place May 22-24, 2012, in Tulsa, Oklahoma. It is co-sponsored by the Institute for Tribal Environmental Professionals (ITEP) and the National Tribal...

  20. Sandia National Laboratories Supplier Quality Requirements for...

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

    Note 118-QC-l Certification Note 119: ANSINSCL Z540-1-1994 Note 120: Control by Item Serial Numbers Other Quality Notes: (as needed) Note 121: ISO 10012-1 Note 122: Seller...

  1. Quality Assurance Guide for Project Management

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

    2008-06-27

    This Guide provides information to assist U.S. Department of Energy (DOE) Federal Project Directors (FPD) and their Integrated Project Teams (IPT) in carrying out their Quality Assurance (QA)-related roles and responsibilities.

  2. Oregon Environmental Quality Commission | Open Energy Information

    Open Energy Info (EERE)

    Commission Jump to: navigation, search Name: Oregon Environmental Quality Commission Address: 811 SW 6th Avenue Place: Portland, Oregon Zip: 97204-1390 Phone Number: 503-229-5301...

  3. Safety Software Quality Assurance Functional Area Qualification...

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

    ... of Electrical and Electronics Engineers (IEEE) Certification may serve as the basis for ... II Subpart 2.7 and Part IV Subpart 4.1 * IEEE 730.1, IEEE Standard for Software Quality ...

  4. NREL Job Task Analysis: Quality Control Inspector

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

    DE-AC36-08GO28308 NREL Job Task Analysis: Quality Control Inspector Chuck Kurnik National ... constitute or imply its endorsement, recommendation, or favoring by the United States ...

  5. FAQS Reference Guide – Quality Assurance

    Broader source: Energy.gov [DOE]

    This reference guide has been developed to address the competency statements in the April 2002 edition of DOE-Standard (STD)-1150-2002, Quality Assurance Functional Area Qualification Standard.

  6. Development of a dynamic quality assurance testing protocol for multisite clinical trial DCE-CT accreditation

    SciTech Connect (OSTI)

    Driscoll, B.; Keller, H.; Jaffray, D.; Coolens, C.; Department of Radiation Oncology, University of Toronto, 150 College Street, Toronto, Ontario M5S 3E2; Techna Institute, University Health Network, 124-100 College Street, Toronto, Ontario M5G 1L5

    2013-08-15

    Purpose: Credentialing can have an impact on whether or not a clinical trial produces useful quality data that is comparable between various institutions and scanners. With the recent increase of dynamic contrast enhanced-computed tomography (DCE-CT) usage as a companion biomarker in clinical trials, effective quality assurance, and control methods are required to ensure there is minimal deviation in the results between different scanners and protocols at various institutions. This paper attempts to address this problem by utilizing a dynamic flow imaging phantom to develop and evaluate a DCE-CT quality assurance (QA) protocol.Methods: A previously designed flow phantom, capable of producing predictable and reproducible time concentration curves from contrast injection was fully validated and then utilized to design a DCE-CT QA protocol. The QA protocol involved a set of quantitative metrics including injected and total mass error, as well as goodness of fit comparison to the known truth concentration curves. An additional region of interest (ROI) sensitivity analysis was also developed to provide additional details on intrascanner variability and determine appropriate ROI sizes for quantitative analysis. Both the QA protocol and ROI sensitivity analysis were utilized to test variations in DCE-CT results using different imaging parameters (tube voltage and current) as well as alternate reconstruction methods and imaging techniques. The developed QA protocol and ROI sensitivity analysis was then applied at three institutions that were part of clinical trial involving DCE-CT and results were compared.Results: The inherent specificity of robustness of the phantom was determined through calculation of the total intraday variability and determined to be less than 2.2 1.1% (total calculated output contrast mass error) with a goodness of fit (R{sup 2}) of greater than 0.99 0.0035 (n= 10). The DCE-CT QA protocol was capable of detecting significant deviations from the expected phantom result when scanning at low mAs and low kVp in terms of quantitative metrics (Injected Mass Error 15.4%), goodness of fit (R{sup 2}) of 0.91, and ROI sensitivity (increase in minimum input function ROI radius by 146 86%). These tests also confirmed that the ASIR reconstruction process was beneficial in reducing noise without substantially increasing partial volume effects and that vendor specific modes (e.g., axial shuttle) did not significantly affect the phantom results. The phantom and QA protocol were finally able to quickly (<90 min) and successfully validate the DCE-CT imaging protocol utilized at the three separate institutions of a multicenter clinical trial; thereby enhancing the confidence in the patient data collected.Conclusions: A DCE QA protocol was developed that, in combination with a dynamic multimodality flow phantom, allows the intrascanner variability to be separated from other sources of variability such as the impact of injection protocol and ROI selection. This provides a valuable resource that can be utilized at various clinical trial institutions to test conformance with imaging protocols and accuracy requirements as well as ensure that the scanners are performing as expected for dynamic scans.

  7. Method for Implementing Subsurface Solid Derived Concentration Guideline Levels (DCGL) - 12331

    SciTech Connect (OSTI)

    Lively, J.W.

    2012-07-01

    The U.S. Nuclear Regulatory Commission (NRC) and other federal agencies currently approve the Multi-Agency Radiation Site Survey and Investigation Manual (MARSSIM) as guidance for licensees who are conducting final radiological status surveys in support of decommissioning. MARSSIM provides a method to demonstrate compliance with the applicable regulation by comparing residual radioactivity in surface soils with derived concentration guideline levels (DCGLs), but specifically discounts its applicability to subsurface soils. Many sites and facilities undergoing decommissioning contain subsurface soils that are potentially impacted by radiological constituents. In the absence of specific guidance designed to address the derivation of subsurface soil DCGLs and compliance demonstration, decommissioning facilities have attempted to apply DCGLs and final status survey techniques designed specifically for surface soils to subsurface soils. The decision to apply surface soil limits and surface soil compliance metrics to subsurface soils typically results in significant over-excavation with associated cost escalation. MACTEC, Inc. has developed the overarching concepts and principles found in recent NRC decommissioning guidance in NUREG 1757 to establish a functional method to derive dose-based subsurface soil DCGLs. The subsurface soil method developed by MACTEC also establishes a rigorous set of criterion-based data evaluation metrics (with analogs to the MARSSIM methodology) that can be used to demonstrate compliance with the developed subsurface soil DCGLs. The method establishes a continuum of volume factors that relate the size and depth of a volume of subsurface soil having elevated concentrations of residual radioactivity with its ability to produce dose. The method integrates the subsurface soil sampling regime with the derivation of the subsurface soil DCGL such that a self-regulating optimization is naturally sought by both the responsible party and regulator. This paper describes the concepts and basis used by MACTEC to develop the dose-based subsurface soil DCGL method. The paper will show how MACTEC's method can be used to demonstrate that higher concentrations of residual radioactivity in subsurface soils (as compared with surface soils) can meet the NRC's dose-based regulations. MACTEC's method has been used successfully to obtain the NRC's radiological release at a site with known radiological impacts to subsurface soils exceeding the surface soil DCGL, saving both time and cost. Having considered the current NRC guidance for consideration of residual radioactivity in subsurface soils during decommissioning, MACTEC has developed a technically based approach to the derivation of and demonstration of compliance with subsurface soil DCGLs for radionuclides. In fact, the process uses the already accepted concepts and metrics approved for surface soils as the foundation for deriving scaling factors used to calculate subsurface soil DCGLs that are at least equally protective of the decommissioning annual dose standard. Each of the elements identified for consideration in the current NRC guidance is addressed in this proposed method. Additionally, there is considerable conservatism built into the assumptions and techniques used to arrive at subsurface soil scaling factors and DCGLs. The degree of conservatism embodied in the approach used is such that risk managers and decision makers approving and using subsurface soil DCGLs derived in accordance with this method can be confident that the future exposures will be well below permissible and safe levels. The technical basis for the method can be applied to a broad variety of sites with residual radioactivity in subsurface soils. Given the costly nature of soil surveys, excavation, and disposal of soils as low-level radioactive waste, MACTEC's method for deriving and demonstrating compliance with subsurface soil DCGLs offers the possibility of significant cost savings over the traditional approach of applying surface soil DCGLs to subsurface soils. Furthermore, while yet untested, MACTEC believes that the concepts and methods embodied in this approach could readily be applied to other types of contamination found in subsurface soils. (author)

  8. Quality Teaching in Northern New Mexico

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

    Quality Teaching in Northern New Mexico Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:Mar. 2016 all issues All Issues » submit Quality Teaching in Northern New Mexico A personal message from the Community Programs Office Director February 1, 2014 Kurt Steinhaus, Community Programs Office Director Kurt Steinhaus, Community Programs Office Director Contacts Community Programs Office Director Kurt Steinhaus Email Editor Linda Anderman

  9. EERE Quality Control Workshop Final Report

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

    EERE Quality Control Workshop Final Report Proceedings from the EERE Quality Control Workshop, in support of the DOE Clean Energy Manufacturing Initiative Golden, Colorado December 9-10, 2013 Workshop Proceedings NREL/BK-5900-61889 May 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at

  10. Hanford Sampling Quality Management Plan (HSQMP)

    SciTech Connect (OSTI)

    Hyatt, J.E.

    1995-06-01

    HSQMP establishes quality requirements in response to DOE Order 5700. 6C and to 10 Code of Federal Regulations 830.120. HSQMP is designed to meet the needs of Richland Operations Office for controlling the quality of services provided by sampling operations. It is issued through the Analytical Services Program of the Waste Programs Division. This document describes the Environmental Sampling and Analysis Program activities considered to represent the best management activities necessary to achieve a sampling program with adequate control.

  11. ETA-HIQP01 - Quality Program

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

    HIQP01 Revision 0 Effective May 1, 2004 QUALITY PROGRAM Prepared by Electric Transportation Applications Prepared by: _______________________________ Date:__________ Roberta Brayer Approved by: _______________________________________________ Date: ______________ Donald B. Karner Procedure ETA-HIQP01 Revision 0 2 2004 Electric Transportation Applications All Rights Reserved TABLE OF CONTENTS 1.0 Objectives 3 2.0 Scope 3 3.0 Documentation 3 4.0 Prerequisites 3 5.0 Exclusions 4 6.0 Quality

  12. ETA-HQP01 - Quality Program

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

    HQP01 Revision 1 Effective November 1, 2004 QUALITY PROGRAM Prepared by Electric Transportation Applications Prepared by: _______________________________ Date:__________ Roberta Brayer Approved by: _______________________________________________ Date: ______________ Donald B. Karner Procedure ETA-HQP01 Revision 1 2 2004 Electric Transportation Applications All Rights Reserved TABLE OF CONTENTS 1.0 Objectives 3 2.0 Scope 3 3.0 Documentation 3 4.0 Prerequisites 3 5.0 Exclusions 4 6.0 Quality

  13. ETA-NQP001 - Quality Program

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

    NQP001 Revision 0 Effective October 15, 2001 QUALITY PROGRAM Prepared by Electric Transportation Applications Prepared by: _______________________________ Date:__________ Jude M. Clark Approved by: _______________________________________________ Date: ______________ Donald B. Karner Procedure ETA-NQP001 Revision 0 2 2001 Electric Transportation Applications All Rights Reserved TABLE OF CONTENTS 1.0 Objectives 3 2.0 Scope 3 3.0 Documentation 3 4.0 Prerequisites 4 5.0 Exclusions 4 6.0 Quality

  14. Quality of Big Data in Healthcare

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

    Sukumar, Sreenivas R.; Ramachandran, Natarajan; Ferrell, Regina Kay

    2015-01-01

    The current trend in Big Data Analytics and in particular Health information technology is towards building sophisticated models, methods and tools for business, operational and clinical intelligence, but the critical issue of data quality required for these models is not getting the attention it deserves. The objective of the paper is to highlight the issues of data quality in the context of Big Data Healthcare Analytics.

  15. Quality Procedure - Independent Assessments | Department of Energy

    Energy Savers [EERE]

    Independent Assessments Quality Procedure - Independent Assessments This procedure establishes the process for planning, performing, and reporting Independent Assessments (i.e., assist visits, program/project reviews, direct observations, etc.) as conducted by the Office of Standards and Quality Assurance. Independent assessments are performed at EM Headquarters and Field Offices to determine compliance to requirements and to identify systemic issues, potential risk, emerging issues, and for

  16. Environmental Quality Improvement Act of 1970

    Office of Environmental Management (EM)

    ENVIRONMENTAL QUALITY IMPROVEMENT ACT OF 1970* SHORT TITLE This title may be cited as the "Environmental Quality Improvement Act of 1970" Sec. 4371. Congressional findings, declarations, and purposes (a) The Congress finds - (1) that man has caused changes in the environment; (2) that many of these changes may affect the relationship between man and his environment; and (3) that population increases and urban concentration contribute directly to pollution and the degradation of our

  17. Program Secretarial Office Name Certification Level

    Energy Savers [EERE]

    Secretarial Office Name Certification Level Original Date of Certification EE BUMBACA,PRISCILLA B Level I 1/25/2011 EE COLLETTE,GREGORY D Level II 3/13/2009 EE DINS,RANDALL S Level II 8/31/2011 EE GRAHAM,MATT E Level III 9/26/2012 EE SWEENEY,ROBIN L Level I 11/21/2008 EIA LOW,JAMES O Level I 10/14/2009 EIA SNOOK,JEFFREY G Level I 1/22/2010 EM ABDUL,WAHED NMN Level III 6/27/2008 EM ADAMS,KAREN M Level I 7/31/2009 EM ADAMS,VINCENT NMN Level III 12/8/2006 EM APPENZELLER-WING,JANET L Level III

  18. Quality Scores for 32,000 Genomes

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

    Land, Miriam L; Hyatt, Philip Douglas; Jun, Se Ran; Kora, Guruprasad H; Hauser, Loren John; Ussery, David W

    2014-01-01

    More than 80% of the microbial genomes in GenBank are of draft quality (12,553 draft vs. 2,679 finished, as of October, 2013). We examined the microbial DNA sequences available for complete, draft, and Sequence Read Archive genomes in GenBank as well as three other major public databases and assigned quality scores for more than 30,000 prokaryotic genome sequences. Scores were assigned using four categories: the completeness of the assembly, the presence of full-length rRNA genes, tRNA composition and the presence of a set of 120 conserved genes in prokaryotes. Most (~87.6%) of the genomes had quality scores of 0.8 ormore » better and can be safely used for standard comparative genomics analysis, although only 6.1% of the genomes had a perfect quality score. We find that about 2.9% of the genomes had a score below 0.6 and probably have too low a quality to yield reliable analysis. This score corresponds to more than 1000 contigs. Comparison of the codon usage across 15,000 quality genomes found that anti-codons beginning with an A (codons ending with a U ) are almost non-existent, with the exception of one arginine codon (CGU).« less

  19. Quality Assessment of Biodiesel and Biodiesel Blends | Department...

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

    Quality Assessment of Biodiesel and Biodiesel Blends Quality Assessment of Biodiesel and Biodiesel Blends The results of a quality survey of B20 fuel in the United States were ...

  20. PROGRESS TOWARDS NEXT GENERATION, WAVEFORM BASED THREE-DIMENSIONAL MODELS AND METRICS TO IMPROVE NUCLEAR EXPLOSION MONITORING IN THE MIDDLE EAST

    SciTech Connect (OSTI)

    Savage, B; Peter, D; Covellone, B; Rodgers, A; Tromp, J

    2009-07-02

    Efforts to update current wave speed models of the Middle East require a thoroughly tested database of sources and recordings. Recordings of seismic waves traversing the region from Tibet to the Red Sea will be the principal metric in guiding improvements to the current wave speed model. Precise characterizations of the earthquakes, specifically depths and faulting mechanisms, are essential to avoid mapping source errors into the refined wave speed model. Errors associated with the source are manifested in amplitude and phase changes. Source depths and paths near nodal planes are particularly error prone as small changes may severely affect the resulting wavefield. Once sources are quantified, regions requiring refinement will be highlighted using adjoint tomography methods based on spectral element simulations [Komatitsch and Tromp (1999)]. An initial database of 250 regional Middle Eastern events from 1990-2007, was inverted for depth and focal mechanism using teleseismic arrivals [Kikuchi and Kanamori (1982)] and regional surface and body waves [Zhao and Helmberger (1994)]. From this initial database, we reinterpreted a large, well recorded subset of 201 events through a direct comparison between data and synthetics based upon a centroid moment tensor inversion [Liu et al. (2004)]. Evaluation was done using both a 1D reference model [Dziewonski and Anderson (1981)] at periods greater than 80 seconds and a 3D model [Kustowski et al. (2008)] at periods of 25 seconds and longer. The final source reinterpretations will be within the 3D model, as this is the initial starting point for the adjoint tomography. Transitioning from a 1D to 3D wave speed model shows dramatic improvements when comparisons are done at shorter periods, (25 s). Synthetics from the 1D model were created through mode summations while those from the 3D simulations were created using the spectral element method. To further assess errors in source depth and focal mechanism, comparisons between the three methods were made. These comparisons help to identify problematic stations and sources which may bias the final solution. Estimates of standard errors were generated for each event's source depth and focal mechanism to identify poorly constrained events. A final, well characterized set of sources and stations will be then used to iteratively improve the wave speed model of the Middle East. After a few iterations during the adjoint inversion process, the sources will be reexamined and relocated to further reduce mapping of source errors into structural features. Finally, efforts continue in developing the infrastructure required to 'quickly' generate event kernels at the n-th iteration and invert for a new, (n+1)-th, wave speed model of the Middle East. While development of the infrastructure proceeds, initial tests using a limited number of events shows the 3D model, while showing vast improvement compared to the 1D model, still requires substantial modifications. Employing our new, full source set and iterating the adjoint inversions at successively shorter periods will lead to significant changes and refined wave speed structures of the Middle East.