National Library of Energy BETA

Sample records for learning parameters plants

  1. Optimal Online Learning with Matrix Parameters

    E-Print Network [OSTI]

    Nie, Jiazhong

    2015-01-01

    Learning Problem: the Expert Setting 1.2 Learning Matrixwith Dense Instance Matrices . . . . . . . . .Optimal Online Learning with Matrix Parameters by Jiazhong

  2. Organizational learning at nuclear power plants

    E-Print Network [OSTI]

    Carroll, John S.

    1991-01-01

    The Nuclear Power Plant Advisory Panel on Organizational Learning provides channels of communications between the management and organization research projects of the MIT International Program for Enhanced Nuclear Power ...

  3. Lessons learned from existing biomass power plants

    SciTech Connect (OSTI)

    Wiltsee, G.

    2000-02-24

    This report includes summary information on 20 biomass power plants, which represent some of the leaders in the industry. In each category an effort is made to identify plants that illustrate particular points. The project experiences described capture some important lessons learned that lead in the direction of an improved biomass power industry.

  4. Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data

    E-Print Network [OSTI]

    California at Los Angeles, University of

    in terms of the observed data, which is asymptotically consistent. Based on this framework, we contributeEfficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data Guy Van den Broeck and Karthika Mohan and Arthur Choi and Judea Pearl University of California, Los Angeles Los

  5. Machine learning of parameters for accurate semiempirical quantum chemical calculations

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

    Dral, Pavlo O.; von Lilienfeld, O. Anatole; Argonne National Lab.; Thiel, Walter

    2015-04-14

    We investigate possible improvements in the accuracy of semiempirical quantum chemistry (SQC) methods through the use of machine learning (ML) models for the parameters. For a given class of compounds, ML techniques require sufficiently large training sets to develop ML models that can be used for adapting SQC parameters to reflect changes in molecular composition and geometry. The ML-SQC approach allows the automatic tuning of SQC parameters for individual molecules, thereby improving the accuracy without deteriorating transferability to molecules with molecular descriptors very different from those in the training set. The performance of this approach is demonstrated for the semiempiricalmore »OM2 method using a set of 6095 constitutional isomers C7H10O2, for which accurate ab initio atomization enthalpies are available. The ML-OM2 results show improved average accuracy and a much reduced error range compared with those of standard OM2 results, with mean absolute errors in atomization enthalpies dropping from 6.3 to 1.7 kcal/mol. They are also found to be superior to the results from specific OM2 reparameterizations (rOM2) for the same set of isomers. The ML-SQC approach thus holds promise for fast and reasonably accurate high-throughput screening of materials and molecules.« less

  6. Regression analysis of technical parameters affecting nuclear power plant performances

    SciTech Connect (OSTI)

    Ghazy, R.; Ricotti, M. E.; Trueco, P.

    2012-07-01

    Since the 80's many studies have been conducted in order to explicate good and bad performances of commercial nuclear power plants (NPPs), but yet no defined correlation has been found out to be totally representative of plant operational experience. In early works, data availability and the number of operating power stations were both limited; therefore, results showed that specific technical characteristics of NPPs were supposed to be the main causal factors for successful plant operation. Although these aspects keep on assuming a significant role, later studies and observations showed that other factors concerning management and organization of the plant could instead be predominant comparing utilities operational and economic results. Utility quality, in a word, can be used to summarize all the managerial and operational aspects that seem to be effective in determining plant performance. In this paper operational data of a consistent sample of commercial nuclear power stations, out of the total 433 operating NPPs, are analyzed, mainly focusing on the last decade operational experience. The sample consists of PWR and BWR technology, operated by utilities located in different countries, including U.S. (Japan)) (France)) (Germany)) and Finland. Multivariate regression is performed using Unit Capability Factor (UCF) as the dependent variable; this factor reflects indeed the effectiveness of plant programs and practices in maximizing the available electrical generation and consequently provides an overall indication of how well plants are operated and maintained. Aspects that may not be real causal factors but which can have a consistent impact on the UCF, as technology design, supplier, size and age, are included in the analysis as independent variables. (authors)

  7. Parameter-insensitive kernel in extreme learning for non-linear support vector regression

    E-Print Network [OSTI]

    Verleysen, Michel

    Parameter-insensitive kernel in extreme learning for non-linear support vector regression Beno Available online 12 May 2011 Keywords: Extreme learning machine Support vector regression ELM kernel Infinite number of neurons a b s t r a c t Support vector regression (SVR) is a state-of-the-art method

  8. Estimating Building Simulation Parameters via Bayesian Structure Learning

    SciTech Connect (OSTI)

    Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

    2013-01-01

    Many key building design policies are made using sophisticated computer simulations such as EnergyPlus (E+), the DOE flagship whole-building energy simulation engine. E+ and other sophisticated computer simulations have several major problems. The two main issues are 1) gaps between the simulation model and the actual structure, and 2) limitations of the modeling engine's capabilities. Currently, these problems are addressed by having an engineer manually calibrate simulation parameters to real world data or using algorithmic optimization methods to adjust the building parameters. However, some simulations engines, like E+, are computationally expensive, which makes repeatedly evaluating the simulation engine costly. This work explores addressing this issue by automatically discovering the simulation's internal input and output dependencies from 20 Gigabytes of E+ simulation data, future extensions will use 200 Terabytes of E+ simulation data. The model is validated by inferring building parameters for E+ simulations with ground truth building parameters. Our results indicate that the model accurately represents parameter means with some deviation from the means, but does not support inferring parameter values that exist on the distribution's tail.

  9. Early Site Permit Demonstration Program: Plant parameters envelope report. Volume 1

    SciTech Connect (OSTI)

    Not Available

    1993-03-01

    The Early Site Permit (ESP) Demonstration Program is the nuclear industry`s initiative for piloting the early resolution of siting-related issues before the detailed design proceedings of the combined operating license review. The ESP Demonstration Program consists of three phases. The plant parameters envelopes task is part of Phase 1, which addresses the generic review of applicable federal regulations and develops criteria for safety and environmental assessment of potential sites. The plant parameters envelopes identify parameters that characterize the interface between an ALWR design and a potential site, and quantify the interface through values selected from the Utility Requirements Documents, vendor design information, or engineering assessments. When augmented with site-specific information, the plant parameters envelopes provide sufficient information to allow ESPs to be granted based on individual ALWR design information or enveloping design information for the evolutionary, passive, or generic ALWR plants. This document is expected to become a living document when used by future applicants.

  10. Nuclear power plant Generic Aging Lessons Learned (GALL). Appendix B

    SciTech Connect (OSTI)

    Kasza, K.E.; Diercks, D.R.; Holland, J.W.; Choi, S.U.

    1996-12-01

    The purpose of this generic aging lessons learned (GALL) review is to provide a systematic review of plant aging information in order to assess materials and component aging issues related to continued operation and license renewal of operating reactors. Literature on mechanical, structural, and thermal-hydraulic components and systems reviewed consisted of 97 Nuclear Plant Aging Research (NPAR) reports, 23 NRC Generic Letters, 154 Information Notices, 29 Licensee Event Reports (LERs), 4 Bulletins, and 9 Nuclear Management and Resources Council Industry Reports (NUMARC IRs) and literature on electrical components and systems reviewed consisted of 66 NPAR reports, 8 NRC Generic Letters, 111 Information Notices, 53 LERs, 1 Bulletin, and 1 NUMARC IR. More than 550 documents were reviewed. The results of these reviews were systematized using a standardized GALL tabular format and standardized definitions of aging-related degradation mechanisms and effects. The tables are included in volume s 1 and 2 of this report. A computerized data base has also been developed for all review tables and can be used to expedite the search for desired information on structures, components, and relevant aging effects. A survey of the GALL tables reveals that all ongoing significant component aging issues are currently being addressed by the regulatory process. However, the aging of what are termed passive components has been highlighted for continued scrutiny. This report consists of Volume 2, which consists of the GALL literature review tables for the NUMARC Industry Reports reviewed for the report.

  11. Display device for indicating the value of a parameter in a process plant

    DOE Patents [OSTI]

    Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

    1993-01-01

    An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

  12. Key Parameters for Operator Diagnosis of BWR Plant Condition during a Severe Accident

    SciTech Connect (OSTI)

    Clayton, Dwight A.; Poore, III, Willis P.

    2015-01-01

    The objective of this research is to examine the key information needed from nuclear power plant instrumentation to guide severe accident management and mitigation for boiling water reactor (BWR) designs (specifically, a BWR/4-Mark I), estimate environmental conditions that the instrumentation will experience during a severe accident, and identify potential gaps in existing instrumentation that may require further research and development. This report notes the key parameters that instrumentation needs to measure to help operators respond to severe accidents. A follow-up report will assess severe accident environmental conditions as estimated by severe accident simulation model analysis for a specific US BWR/4-Mark I plant for those instrumentation systems considered most important for accident management purposes.

  13. Plant Species Classification using a 3D LIDAR Sensor and Machine Learning Ulrich Weiss and Peter Biber

    E-Print Network [OSTI]

    Zell, Andreas

    Plant Species Classification using a 3D LIDAR Sensor and Machine Learning Ulrich Weiss and Peter of the plant and species. Automatically distinguishing between plant species is a challenging task, because of the appearances and the differences between the plants used by humans, into a formal, computer understandable form

  14. Rapid/PSM - lessons learned from using PSA for plant status monitoring

    SciTech Connect (OSTI)

    Chu, B.B.; Young, J.; Weinzimmer, F.

    1987-01-01

    Power plant operation requires decisions that can affect both the availability of the plant and its compliance with operating guidelines. Taking equipment out of service may affect the ability of the plant to produce power at a certain power level and may also affect the status of the plant with regard to technical specifications. However, plant operators and supervisors possess few tools that can rapidly determine plant availability and system status, can assess the impact on plant health (e.g., likelihood of continued operation) of taking equipment in or out of service, and can present information on required actions or desired alternatives. The plant status monitor (PSM), which is a part of Rapid software development under the risk assessment program of the Nuclear Power Division at the Electric Power Research Institute (EPRI), is designed to provide such information to plant personnel as an aid to their decision making. The Rapid/PSM can assist the management of plant safety and productivity and can minimize the potential technical specification violations. This paper describes the lessons learned from the development and demonstration of Rapid/PSM software at GPU Nuclear Corporation's (GPUN's) Oyster Creek Nuclear Generation Plant.

  15. To appear in the Proceedings of the World Multiconference on Systemics, Cybernetics, and Informatics (CSI'97), Caracas, Venezuela, July 1997. Learning of ParameterAdaptive Reactive Controllers for Robotic

    E-Print Network [OSTI]

    , and Informatics (CSI'97), Caracas, Venezuela, July 1997. Learning of Parameter­Adaptive Reactive Controllers

  16. Lessons Learned in International Safeguards - Implementation of Safeguards at the Rokkasho Reprocessing Plant

    SciTech Connect (OSTI)

    Ehinger, Michael H [ORNL; Johnson, Shirley [Tucker Creek Consulting

    2010-02-01

    The focus of this report is lessons learned at the Rokkasho Reprocessing Plant (RRP). However, the subject of lessons learned for application of international safeguards at reprocessing plants includes a cumulative history of inspections starting at the West Valley (New York, U.S.A.) reprocessing plant in 1969 and proceeding through all of the efforts over the years. The RRP is the latest and most challenging application the International Atomic Energy Agency has faced. In many ways the challenges have remained the same, timely inspection and evaluation with limited inspector resources, with the continuing realization that planning and preparations can never start early enough in the life cycle of a facility. Lessons learned over the years have involved the challenges of using ongoing advances in technology and dealing with facilities with increased throughput and continuous operation. This report will begin with a review of historical developments and lessons learned. This will provide a basis for a discussion of the experiences and lessons learned from the implementation of international safeguards at RRP.

  17. Preliminary performance assessment for the Waste Isolation Pilot Plant, December 1992. Volume 3, Model parameters: Sandia WIPP Project

    SciTech Connect (OSTI)

    Not Available

    1992-12-29

    This volume documents model parameters chosen as of July 1992 that were used by the Performance Assessment Department of Sandia National Laboratories in its 1992 preliminary performance assessment of the Waste Isolation Pilot Plant (WIPP). Ranges and distributions for about 300 modeling parameters in the current secondary data base are presented in tables for the geologic and engineered barriers, global materials (e.g., fluid properties), and agents that act upon the WIPP disposal system such as climate variability and human-intrusion boreholes. The 49 parameters sampled in the 1992 Preliminary Performance Assessment are given special emphasis with tables and graphics that provide insight and sources of data for each parameter.

  18. A preliminary user-friendly, digital console for the control room parameters supervision in old-generation Nuclear Plants

    SciTech Connect (OSTI)

    Memmi, F.; Falconi, L.; Cappelli, M.; Palomba, M.; Santoro, E.; Bove, R.; Sepielli, M.

    2012-07-01

    Improvements in the awareness of a system status is an essential requirement to achieve safety in every kind of plant. In particular, in the case of Nuclear Power Plants (NPPs), a progress is crucial to enhance the Human Machine Interface (HMI) in order to optimize monitoring and analyzing processes of NPP operational states. Firstly, as old-fashioned plants are concerned, an upgrading of the whole console instrumentation is desirable in order to replace an analog visualization with a full-digital system. In this work, we present a novel instrument able to interface the control console of a nuclear reactor, developed by using CompactRio, a National Instruments embedded architecture and its dedicated programming language. This real-time industrial controller composed by a real-time processor and FPGA modules has been programmed to visualize the parameters coming from the reactor, and to storage and reproduce significant conditions anytime. This choice has been made on the basis of the FPGA properties: high reliability, determinism, true parallelism and re-configurability, achieved by a simple programming method, based on LabVIEW real-time environment. The system architecture exploits the FPGA capabilities of implementing custom timing and triggering, hardware-based analysis and co-processing, and highest performance control algorithms. Data stored during the supervisory phase can be reproduced by loading data from a measurement file, re-enacting worthwhile operations or conditions. The system has been thought to be used in three different modes, namely Log File Mode, Supervisory Mode and Simulation Mode. The proposed system can be considered as a first step to develop a more complete Decision Support System (DSS): indeed this work is part of a wider project that includes the elaboration of intelligent agents and meta-theory approaches. A synoptic has been created to monitor every kind of action on the plant through an intuitive sight. Furthermore, another important aim of this work is the possibility to have a front panel available on a web interface: CompactRio acts as a remote server and it is accessible on a dedicated LAN. This supervisory system has been tested and validated on the basis of the real control console for the 1-MW TRIGA reactor RC-1 at the ENEA, Casaccia Research Center. In this paper we show some results obtained by recording each variable as the reactor reaches its maximum level of power. The choice of a research reactor for testing the developed system relies on its training and didactic importance for the education of plant operators: in this context a digital instrument can offer a better user-friendly tool for learning and training. It is worthwhile to remark that such a system does not interfere with the console instrumentation, the latter continuing to preserve the total control. (authors)

  19. Evolutionary parameter optimization of a fuzzy controller which is used to control a sewage treatment plant

    E-Print Network [OSTI]

    Ebner, Marc

    treatment plant Marc Ebner Eberhard Karls Universität Tübingen, Wilhelm-Schickard-Institut für Informatik, sewage treatment plants may need to be redesigned or extended. Instead of reconstructing large parts of a sewage treatment plant, which can be very costly, it is in many cases sufficient to install relatively

  20. Mentored Engagement of Secondary Science Students, Plant Scientists, and Teachers in an Inquiry-Based Online Learning Environment 

    E-Print Network [OSTI]

    Peterson, Cheryl

    2012-10-19

    ........................................................................................................... 198 APPENDIX B ........................................................................................................... 199 APPENDIX C... Page 2.1 Conceptual framework for organizing the literature on innovative learning systems ......................................................................................... 21 2.2 A framework for discussing the Innovative Planting...

  1. Guidebook for performance assessment parameters used in the Waste Isolation Pilot Plant compliance certification application. Volume 2: Appendices

    SciTech Connect (OSTI)

    Howarth, S.M.; Martell, M.A.; Weiner, R.; Lattier, C.

    1998-06-01

    The Waste Isolation Pilot Plant (WIPP) Compliance Certification Application (CCA) Performance Assessment (PA) Parameter Database and its ties to supporting information evolved over the course of two years. When the CCA was submitted to the Environmental Protection Agency (EPA) in October 1996, information such as identification of parameter value or distribution source was documented using processes established by Sandia National Laboratories WIPP Quality Assurance Procedures. Reviewers later requested additional supporting documentation, links to supporting information, and/or clarification for many parameters. This guidebook is designed to document a pathway through the complex parameter process and help delineate flow paths to supporting information for all WIPP CCA parameters. In addition, this report is an aid for understanding how model parameters used in the WIPP CCA were developed and qualified. To trace the source information for a particular parameter, a dual-route system was established. The first route uses information from the Parameter Records package as it existed when the CCA calculations were run. The second route leads from the EPA Parameter Database to additional supporting information.

  2. High Temperature Gas-Cooled Reactors Lessons Learned Applicable to the Next Generation Nuclear Plant

    SciTech Connect (OSTI)

    J. M. Beck; L. F. Pincock

    2011-04-01

    The purpose of this report is to identify possible issues highlighted by these lessons learned that could apply to the NGNP in reducing technical risks commensurate with the current phase of design. Some of the lessons learned have been applied to the NGNP and documented in the Preconceptual Design Report. These are addressed in the background section of this document and include, for example, the decision to use TRISO fuel rather than BISO fuel used in the Peach Bottom reactor; the use of a reactor pressure vessel rather than prestressed concrete found in Fort St. Vrain; and the use of helium as a primary coolant rather than CO2. Other lessons learned, 68 in total, are documented in Sections 2 through 6 and will be applied, as appropriate, in advancing phases of design. The lessons learned are derived from both negative and positive outcomes from prior HTGR experiences. Lessons learned are grouped according to the plant, areas, systems, subsystems, and components defined in the NGNP Preconceptual Design Report, and subsequent NGNP project documents.

  3. Designing and Operating for Safeguards: Lessons Learned From the Rokkasho Reprocessing Plant (RRP)

    SciTech Connect (OSTI)

    Johnson, Shirley J.; Ehinger, Michael

    2010-08-07

    This paper will address the lessons learned during the implementation of International Atomic Energy Agency (IAEA) safeguards at the Rokkasho Reprocessing Plant (RRP) which are relevant to the issue of ‘safeguards by design’. However, those lessons are a result of a cumulative history of international safeguards experiences starting with the West Valley reprocessing plant in 1969, continuing with the Barnwell plant, and then with the implementation of international safeguards at WAK in Germany and TRP in Japan. The design and implementation of safeguards at RRP in Japan is the latest and most challenging that the IAEA has faced. This paper will discuss the work leading up to the development of a safeguards approach, the design and operating features that were introduced to improve or aid in implementing the safeguards approach, and the resulting recommendations for future facilities. It will provide an overview of how ‘safeguardability’ was introduced into RRP.

  4. Sensitivity Analysis of Wind Plant Performance to Key Turbine Design Parameters: A Systems Engineering Approach; Preprint

    SciTech Connect (OSTI)

    Dykes, K.; Ning, A.; King, R.; Graf, P.; Scott, G.; Veers, P.

    2014-02-01

    This paper introduces the development of a new software framework for research, design, and development of wind energy systems which is meant to 1) represent a full wind plant including all physical and nonphysical assets and associated costs up to the point of grid interconnection, 2) allow use of interchangeable models of varying fidelity for different aspects of the system, and 3) support system level multidisciplinary analyses and optimizations. This paper describes the design of the overall software capability and applies it to a global sensitivity analysis of wind turbine and plant performance and cost. The analysis was performed using three different model configurations involving different levels of fidelity, which illustrate how increasing fidelity can preserve important system interactions that build up to overall system performance and cost. Analyses were performed for a reference wind plant based on the National Renewable Energy Laboratory's 5-MW reference turbine at a mid-Atlantic offshore location within the United States.

  5. Power plant capital investment cost estimates: current trends and sensitivity to economic parameters

    SciTech Connect (OSTI)

    Not Available

    1980-06-01

    This report describes power plant capital investment cost studies that were carried out as part of the activities of the Plans and Analysis Division, Office of Nuclear Energy Programs, US Department of Energy. The activities include investment cost studies prepared by an architect-engineer, including trends, effects of environmental and safety requirements, and construction schedules. A computer code used to prepare capital investment cost estimates under varying economic conditions is described, and application of this code is demonstrated by sensitivity studies.

  6. Nuclear power plant Generic Aging Lessons Learned (GALL). Main report and appendix A

    SciTech Connect (OSTI)

    Kaza, K.E.; Diercks, D.R.; Holland, J.W.; Choi, S.U.

    1996-12-01

    The purpose of this generic aging lessons learned (GALL) review is to provide a systematic review of plant aging information in order to assess materials and component aging issues related to continued operation and license renewal of operating reactors. Literature on mechanical, structural, and thermal-hydraulic components and systems reviewed consisted of 97 Nuclear Plant Aging Research (NPAR) reports, 23 NRC Generic Letters, 154 Information Notices, 29 Licensee Event Reports (LERs), 4 Bulletins, and 9 Nuclear Management and Resources Council Industry Reports (NUMARC IRs) and literature on electrical components and systems reviewed consisted of 66 NPAR reports, 8 NRC Generic Letters, 111 Information Notices, 53 LERs, 1 Bulletin, and 1 NUMARC IR. More than 550 documents were reviewed. The results of these reviews were systematized using a standardized GALL tabular format and standardized definitions of aging-related degradation mechanisms and effects. The tables are included in volume s 1 and 2 of this report. A computerized data base has also been developed for all review tables and can be used to expedite the search for desired information on structures, components, and relevant aging effects. A survey of the GALL tables reveals that all ongoing significant component aging issues are currently being addressed by the regulatory process. However, the aging of what are termed passive components has been highlighted for continued scrutiny. This document is Volume 1, consisting of the executive summary, summary and observations, and an appendix listing the GALL literature review tables.

  7. Lessons learned from an installation perspective for chemical demilitarization plant start-up at four operating incineration sites.

    SciTech Connect (OSTI)

    Motz, L.; Decision and Information Sciences

    2011-02-21

    This study presents the lessons learned by chemical storage installations as they prepared for the start of chemical demilitarization plant operations at the four current chemical incinerator sites in Alabama, Arkansas, Oregon, and Utah. The study included interviews with persons associated with the process and collection of available documents prepared at each site. The goal was to provide useful information for the chemical weapons storage sites in Colorado and Kentucky that will be going through plant start-up in the next few years. The study is not a compendium of what to do and what not to do. The information has been categorized into ten lessons learned; each is discussed individually. Documents that may be useful to the Colorado and Kentucky sites are included in the appendices. This study should be used as a basis for planning and training.

  8. Planning for coal power plant transition : lessons learned from communities in Massachusetts

    E-Print Network [OSTI]

    Nochur, Aditya Kumar

    2013-01-01

    As coal-fired power plants across the U.S. are retiring in increasing numbers - a trend likely to continue in the years ahead - the communities that host these plants will play a critical role in balancing local concerns ...

  9. Lessons Learned on University Education Programs of Chemical Engineering Principles for Nuclear Plant Operations - 13588

    SciTech Connect (OSTI)

    Ryu, Jun-hyung

    2013-07-01

    University education aims to supply qualified human resources for industries. In complex large scale engineering systems such as nuclear power plants, the importance of qualified human resources cannot be underestimated. The corresponding education program should involve many topics systematically. Recently a nuclear engineering program has been initiated in Dongguk University, South Korea. The current education program focuses on undergraduate level nuclear engineering students. Our main objective is to provide industries fresh engineers with the understanding on the interconnection of local parts and the entire systems of nuclear power plants and the associated systems. From the experience there is a huge opportunity for chemical engineering disciple in the context of giving macroscopic overview on nuclear power plant and waste treatment management by strengthening the analyzing capability of fundamental situations. (authors)

  10. Early Site Permit Demonstration Program, plant parameters envelopes: Comparison with ranges of values for four hypothetical sites. Volume 2

    SciTech Connect (OSTI)

    Not Available

    1992-09-01

    The purpose of this volume is to report the results of the comparison of the ALWR plan parameters envelope with values of site characteristics developed for our hypothetical sites that generally represent conditions encountered within the United States. This effort is not intended to identify or address the suitability of any existing site, site area, or region in the United States. Also included in this volume is Appendix F, SERCH Summaries Regarding Siting.

  11. Impact of operating parameters changing on energy, environment and economic efficiencies of a lean burn gas engine used in a cogeneration plant

    SciTech Connect (OSTI)

    Lemoult, B.; Tazerout, M.; Rousseau, S.

    1998-07-01

    The facts that national electrical company Electricite de France (EDF) has a monopoly on electrical power production in France and an extensive installed base of nuclear power plants, explain the difficulty encountered in developing cogeneration technology in France. Cogeneration only really first appeared in this country in the early 1990's, with the liberalization of energy markets and the government's encouragement. Since then, the number of cogeneration plants has continuously increased and electrical generating capacity is now approximately 1,200 MWe. Turbine and reciprocating engines (most of which are natural gas fired) account respectively for about 55% and 45% of the installed power. Unlike other countries, such as Germany--which has about two thousand 500 kWe and smaller units--the future of low-power cogeneration in France is far from assured, and there are currently less than 10 such plants. To help develop this efficient technology for producing electrical power and hot water, the Ecole des Mines de Nantes purchased a 210 kWe cogeneration generator set in 1996. This facility provides all or part of the school's electrical and heat requirements during five months between November and March. This cogeneration facility is also used during the rest of the year to perform research experiments in the field of lean-burn natural gas combustion. Lastly, it is also used to provide training for industry in cogeneration technology. Within this context, work was undertaken to study the set's energy and emissions performance, in relation to such parameters as spark advance and air factor, and at various loads.

  12. A NONLINEAR LEARNING CONTROL APPROACH FOR A CEMENT MILLING PROCESS

    E-Print Network [OSTI]

    Efe, Mehmet Önder

    A NONLINEAR LEARNING CONTROL APPROACH FOR A CEMENT MILLING PROCESS 1 OGUZ H. DAGCI, 2 M. ÖNDER EFE, control of a cement milling circuit is studied with time-varying set values, time-varying plant parameters popularity since the field of nonlinear control still does not offer systematized procedures. Cement mill

  13. Determination of transport parameters of coincident inorganic and organic plumes in the Savannah River Plant M-Area, Aiken, South Carolina 

    E-Print Network [OSTI]

    Cauffman, Toya Lyn

    1987-01-01

    River Plant (SRP) M-Area house the facilities for fabricating fuel and target elements to be irradiated in SRP reactors. Waste effluents from M-Area operations contain metal degreasers, nitric acid, sodium hydroxide, phosphoric acid and metals...-Area are (1) the A-14 sewer outfall, which drains to a small tributary of the Time Branch, (2) the M-Area settling basin, (3) the seepage area and Lost Lake, which receive overflow from the basin, and (4) the two main sewer lines which transport waste water...

  14. Power Plant Power Plant

    E-Print Network [OSTI]

    Stillwater Power Plant Wabuska Power Plant Casa Diablo Power Plant Glass Mountain Geothermal Area Lassen Geothermal Area Coso Hot Springs Power Plants Lake City Geothermal Area Thermo Geothermal Area Lakeview Geothermal Area Raft River Geothermal Area Cove Fort Power Plant Roosevelt Power Plant Borax Lake

  15. Optimal Online Learning with Matrix Parameters

    E-Print Network [OSTI]

    Nie, Jiazhong

    2015-01-01

    i ? 0, where the last inequality is by the dual feasibilityAuxiliary Lemmas Lemma 2.11. Inequality max{min{a, b}, c} ?and RHS is b. Hence, the inequality holds. If a ? c ? b or b

  16. Optimal Online Learning with Matrix Parameters

    E-Print Network [OSTI]

    Nie, Jiazhong

    2015-01-01

    Karthik Sridharan, and Ambuj Tewari. Smoothness, low noiseKarthik Sridharan, and Ambuj Tewari. On the universal- ityKarthik Sridharan and Ambuj Tewari. Convex games in banach

  17. CONSTRUCTION OF NUCLEAR POWER PLANTS

    E-Print Network [OSTI]

    CONSTRUCTION OF NUCLEAR POWER PLANTS A Workshop on "NUCLEAR ENERGY RENAISSANCE" Addressing OF ST. LUCIE-2 at FLORIDA POWER & LIGHT COMPANY · Robert E. Uhrig 1974-1986 ­ Vice President, Nuclear IN CONSTRUCTION OF ST. LUCIE-2 #12;LESSONS LEARNED FROM St. Lucie-2 NUCLEAR POWER PLANTS CAN BE BUILT

  18. MACHINE LEARNING REINFORCEMENT LEARNING

    E-Print Network [OSTI]

    Fleuret, François

    only on the current state. 7 / 54 Policy Example For instance, in the maze, here is a policy (an, etc. 2 / 54 #12;Reinforcement Learning Introduction We have seen two large families of machine case, since we have to explore the environment to collect the samples to learn. 3 / 54 Introduction

  19. Online Support Vector Regression with Varying Parameters for Time-Dependent Data

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A [ORNL; Jeong, Myong K [ORNL; Badiru, Adedeji B [ORNL

    2011-01-01

    Support vector regression (SVR) is a machine learning technique that continues to receive interest in several domains including manufacturing, engineering, and medicine. In order to extend its application to problems in which datasets arrive constantly and in which batch processing of the datasets is infeasible or expensive, an accurate online support vector regression (AOSVR) technique was proposed. The AOSVR technique efficiently updates a trained SVR function whenever a sample is added to or removed from the training set without retraining the entire training data. However, the AOSVR technique assumes that the new samples and the training samples are of the same characteristics; hence, the same value of SVR parameters is used for training and prediction. This assumption is not applicable to data samples that are inherently noisy and non-stationary such as sensor data. As a result, we propose Accurate On-line Support Vector Regression with Varying Parameters (AOSVR-VP) that uses varying SVR parameters rather than fixed SVR parameters, and hence accounts for the variability that may exist in the samples. To accomplish this objective, we also propose a generalized weight function to automatically update the weights of SVR parameters in on-line monitoring applications. The proposed function allows for lower and upper bounds for SVR parameters. We tested our proposed approach and compared results with the conventional AOSVR approach using two benchmark time series data and sensor data from nuclear power plant. The results show that using varying SVR parameters is more applicable to time dependent data.

  20. BIOL/ESRM 331, Spring 2015 Landscape Plant Recognition

    E-Print Network [OSTI]

    Brown, Sally

    parts of flowers in the field, but are not required. Written Materials A daily plant list and plant descriptions will be posted to the website. They will provide you with a list of the plants to be learned each. There are also photos of the plants available on the website. The daily plant list and descriptions

  1. Study of a transient identification system using a neural network for a PWR plant

    SciTech Connect (OSTI)

    Ishihara, Yoshinao; Kasai, Masao; Kambara, Masayuki [Mitsubishi Heavy Industries, Ltd., Yokohama (Japan); Mitsuda, Hiromichi; Kurata, Toshikazu; Shirosaki, Hidekazu [Inst. of Nuclear Safety System, Inc., Kyoto (Japan)

    1996-08-01

    This paper presents the procedure and results of a system for identifying PWR plant abnormal events, which uses neural network techniques. The neural network recognizes the abnormal event from the patterns of the transient changes of analog data from plant parameters when they deport from their normal state. For the identification of abnormal events in this study, events that cause a reactor to scram during power operation were selected as the design base events. The test data were prepared by simulating the transients on a compact PWR simulator. The simulation data were analyzed to determine how the plant parameters respond after the occurrence of a transient. A method of converting the pattern of the transient changes into characteristic parameters by fitting the data to pre-determined functions was developed. These characteristic parameters were used as the input data to the neural network. The neural network learning procedure used a generalized delta rule, namely a back-propagation algorithm. The neural network can identify the type of an abnormal event from a limited set of events by using these characteristic parameters obtained from the pattern of the changes in the analog data. From the results of this application of a neural network, it was concluded that it would be possible to use the method to identify abnormal events in a nuclear power plant.

  2. Using evidence informed approval to create online learning resources

    E-Print Network [OSTI]

    Tracy, Frances; Jordan, Katy; Johnstone, Keith; Carmichael, Patrick

    2007-06-14

    into undergraduate teaching and learning within the Department; and to develop online resources to support student learning. The research focused on the second year ‘Part IB Plant & Microbial Sciences’ (IB PMS) Course. A combination of focus groups, dual...

  3. What can I do with this degree? PLANT BIOLOGY

    E-Print Network [OSTI]

    Escher, Christine

    Industries including petrochemical, chemical, and lumber and paper Companiesincludingpharmaceutical computer skills. Joinrelatedprofessionalassociations. Learnfederalandstategovernmentjobapplication process agencies Applied Plant Science, Continued Learn federal, state and local government job application process

  4. Cesium Removal at Fukushima Nuclear Plant - 13215

    SciTech Connect (OSTI)

    Braun, James L.; Barker, Tracy A. [Avantech Incorporated, 95A Sunbelt Blvd Columbia, SC 29203 (United States)] [Avantech Incorporated, 95A Sunbelt Blvd Columbia, SC 29203 (United States)

    2013-07-01

    The Great East Japan Earthquake that took place on March 11, 2011 created a number of technical challenges at the Fukushima Daiichi Nuclear Plant. One of the primary challenges involved the treatment of highly contaminated radioactive wastewater. Avantech Inc. developed a unique patent pending treatment system that addressed the numerous technical issues in an efficient and safe manner. Our paper will address the development of the process from concept through detailed design, identify the lessons learned, and provide the updated results of the project. Specific design and operational parameters/benefits discussed in the paper include: - Selection of equipment to address radionuclide issues; - Unique method of solving the additional technical issues associated with Hydrogen Generation and Residual Heat; - Operational results, including chemistry, offsite discharges and waste generation. Results show that the customized process has enabled the utility to recycle the wastewater for cooling and reuse. This technology had a direct benefit to nuclear facilities worldwide. (authors)

  5. APS Storage Ring Parameters

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

    next up previous Next: Main Parameters APS Storage Ring Parameters M. Borland, G. Decker, L. Emery, W. Guo, K. Harkay, V. Sajaev, C.-Y. Yao Advanced Photon Source September 8, 2010...

  6. INCREMENTAL LEARNING OF ULTRASONIC WELD INSPECTION SIGNALS

    E-Print Network [OSTI]

    Polikar, Robi

    the classification performance of the algorithm on ultrasonic signals obtained from nuclear submarine hulls], in tubings and pipings of nuclear power plants [2,3], in artificial heart valves, etc. Currently used ASC applications warrant incremental learning algorithms. For example, in nuclear power plants, data are collected

  7. Physical Plant Power Plant - 32 

    E-Print Network [OSTI]

    Unknown

    2005-06-30

    Historically, a fixed cooling concept is used in the design of evaporative heat rejection systems for process and power plants. In the fixed cooling mode, a plant is designed for maximum output at the design summer wet bulb temperature...

  8. Pronunciation learning for automatic speech recognition

    E-Print Network [OSTI]

    Badr, Ibrahim

    2011-01-01

    In many ways, the lexicon remains the Achilles heel of modern automatic speech recognizers (ASRs). Unlike stochastic acoustic and language models that learn the values of their parameters from training data, the baseform ...

  9. Active Learning in Persistent Surveillance UAV Missions

    E-Print Network [OSTI]

    Redding, Joshua

    The performance of many complex UAV decision-making problems can be extremely sensitive to small errors in the model parameters. One way of mitigating this sensitivity is by designing algorithms that more effectively learn ...

  10. Science Learning+: Phase 1 projects Science Learning+

    E-Print Network [OSTI]

    Rambaut, Andrew

    Science Learning+: Phase 1 projects Science Learning+ Phase 1 projects 2 December 2014 #12..............................................................................................................4 Youth access and equity in informal science learning: developing a research and practice agenda..................................................................................................5 Enhancing informal learning through citizen science..............................................6

  11. Alignment-based Transfer Learning for Robot Models

    E-Print Network [OSTI]

    Alignment-based Transfer Learning for Robot Models Botond B´ocsi Lehel Csat´o Jan Peters Abstract-- Robot manipulation tasks require on robot mod- els. When exact physical parameters of the robot are not available, learning robot models from data becomes an ap- pealing alternative. Most learning approaches

  12. How the National Labs Help Us Understand the Inner Workings of Power Plants

    Broader source: Energy.gov [DOE]

    Learn more about research at the National Energy Technology Lab that's helping us understand more about what happens inside power plants.

  13. BIOPHYSICAL PARAMETER ESTIMATION WITH ADAPTIVE GAUSSIAN PROCESSES G. Camps-Valls1

    E-Print Network [OSTI]

    Camps-Valls, Gustavo

    -Maravilla1 1 Image Processing Laboratory (IPL) 2 Dept. Plant Biology Universitat de Val`encia. Val-parametric kernel learn- ing. Very good numerical performance and stability has been reported in remote sensing

  14. A social learning particle swarm optimization algorithm for scalable optimization

    E-Print Network [OSTI]

    Jin, Yaochu

    into particle swarm optimization (PSO) to develop a social learning PSO (SL-PSO). Unlike classical PSO variants in the proposed SL-PSO learns from any better particles (termed demonstrators) in the current swarm. In addition, to ease the burden of parameter settings, the proposed SL-PSO adopts a dimension-dependent parameter

  15. Land O'Lakes Shaves Gas Usage through Steam System In-Plant Training

    Broader source: Energy.gov [DOE]

    Twelve participants from 6 different facilities learned and practiced energy efficiency assessment skills during the recent in-plant training at a Land O'Lakes dairy plant in Carlisle, Pennsylvania...

  16. Parameter Estimation Through Ignorance

    E-Print Network [OSTI]

    Hailiang Du; Leonard A. Smith

    2012-06-06

    Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.

  17. Storage Ring Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|SensitiveAprilPhoton Source Parameters Storage Ring Parameters

  18. Estimating Building Simulation Parameters via Bayesian Structure Learning

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    sophisti- cated computer simulations such as EnergyPlus (E+), the DOE flagship whole-building energy, Probabilistic Inference, Big Data 1. INTRODUCTION EnergyPlus is currently DOE's flagship whole-building en- ergy

  19. Parameterizing the Deceleration Parameter

    E-Print Network [OSTI]

    Diego Pavón; Ivan Duran; Sergio del Campo; Ramón Herrera

    2012-12-31

    We propose and constrain with the latest observational data three parameterizations of the deceleration parameter, valid from the matter era to the far future. They are well behaved and do not diverge at any redshift. On the other hand, they are model independent in the sense that in constructing them the only assumption made was that the Universe is homogeneous and isotropic at large scales.

  20. Physical Plant Power Plant - 43 

    E-Print Network [OSTI]

    Unknown

    2005-06-30

    with higher efficiency / R&D Climate friendly Power Plants Build coal fired Power Plants with CCS-technology 4 B a c k u p va W GGEHEN ESL-IC-08-10-27 Proceedings of the Eighth International Conference for Enhanced Building Operations, Berlin, Germany..., October 20-22, 2008 RWE Energy / Energieeffizienz bei Immobilien / U. K?nig / ICEBO '08 SEITE 9 Electricity Production: All Energy Sources have to be included! Lignite Power Plant (BoA) produces 8,8 TWh = appr. 12% of the annual demand for electricity...

  1. Storage Ring Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|SensitiveAprilPhoton Source Parameters Storage Ring

  2. Storage Ring Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effect Photovoltaics -7541C.3X-rays3 Prepared by:'!TransportStorage Ring Parameters

  3. Photon Source Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| DepartmentPeerFederal FleetUp in thePhoton Source Parameters Print

  4. Photon Source Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| DepartmentPeerFederal FleetUp in thePhoton Source Parameters

  5. Domestic Plant Guilds: A Novel Application for Sustainable HCI

    E-Print Network [OSTI]

    LaViola Jr., Joseph J.

    . Author Keywords Plant guild; sustainability; simple living; permaculture; human-computer interaction. ACM of these extraneous materials by providing themselves with materials they need. Practices like permaculture (the eco to learn these methodologies and their implementation. In permaculture, a domestic plant guild can foster

  6. The energy balancing parameter

    E-Print Network [OSTI]

    Walton R. Gutierrez

    2011-05-10

    A parameter method is introduced in order to estimate the relationship among the various variables of a system in equilibrium, where the potential energy functions are incompletely known or the quantum mechanical calculations very difficult. No formal proof of the method is given; instead, a sufficient number of valuable examples are shown to make the case for the method's usefulness in classical and quantum systems. The mathematical methods required are quite elementary: basic algebra and minimization of power functions. This method blends advantageously with a simple but powerful approximate method for quantum mechanics, sidestepping entirely formal operators and differential equations. It is applied to the derivation of various well-known results involving centrally symmetric potentials for a quantum particle such as the hydrogen-like atom, the elastic potential and other cases of interest. The same formulas provide estimates for previously unsolved cases. PACS: 03.65.-w 30.00.00

  7. Primitive Land Plants 37 PRIMITIVE LAND PLANTS

    E-Print Network [OSTI]

    Koptur, Suzanne

    appeared at this time. Both of these groups of plants had life cycles, involving two generations. One of the year these mosses will produce tiny sporophytes. Prior to this generation, the tiny plants producedPrimitive Land Plants 37 PRIMITIVE LAND PLANTS These are the plants that were present soon after

  8. Learning Curve

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

    1997-03-28

    It is a fundamental human characteristic that a person engaged in a repetitive task will improve his performance over time. If data are gathered on this phenomenon, a curve representing a decrease in effort per unit for repetitive operations can be developed. This phenomenon is real and has a specific application in cost analysis, cost estimating, or profitability studies related to the examination of future costs and confidence levels in an analysis. This chapter discusses the development and application of the learning curve.

  9. Course info Machine Learning

    E-Print Network [OSTI]

    Shi, Qinfeng "Javen"

    Course info Machine Learning Real life problems Lecture 1: Machine Learning Problem Qinfeng (Javen) Shi 28 July 2014 Intro. to Stats. Machine Learning COMP SCI 4401/7401 Qinfeng (Javen) Shi Lecture 1: Machine Learning Problem #12;Course info Machine Learning Real life problems Table of Contents I 1 Course

  10. Scholarship of and Learning

    E-Print Network [OSTI]

    Herbert, Bruce

    is characterized by: A clear focus on student learning. The scholarship of teaching and learning is drivenLeadership for the Scholarship of Teaching and Learning Improve student learning Stimulate and their students learning; many today are trying new classroom approaches in the hopes of strengthening

  11. Hydrocarbon Reservoir Parameter Estimation Using

    E-Print Network [OSTI]

    van Vliet, Lucas J.

    Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic #12;#12;Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic PROEFSCHRIFT ter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Recovery process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.3 Field

  12. LUNAR SOIL SIMULATION TRAFFICABILITY PARAMETERS

    E-Print Network [OSTI]

    Rathbun, Julie A.

    LUNAR SOIL SIMULATION and TRAFFICABILITY PARAMETERS by W. David Carrier, III Lunar Geotechnical.0 RECOMMENDED LUNAR SOIL TRAFFICABILITY PARAMETERS Table 9.14 in the Lunar Sourcebook (Carrier et al. 1991, p. 529) lists the current recommended lunar soil trafficability parameters: bc = 0.017 N/cm2 bN = 35° K

  13. Learning Communities Peer Mentor

    E-Print Network [OSTI]

    Lin, Zhiqun

    , focused communities in which students, staff, and faculty can learn and grow together. Intended Outcomes Experience -Student Evaluations Archive Materials -Reflections of Previous Peer Mentors -Learning Community Activities -Student Evaluation Archives -Former Mentor Contact list #12;Learning Communities Vision Statement

  14. Learning Nonlinear Dynamical Systems using an EM Algorithm

    E-Print Network [OSTI]

    Edinburgh, University of

    Learning Nonlinear Dynamical Systems using an EM Algorithm Zoubin Ghahramani and Sam T. Roweis present a generalization of the EM algorithm for parameter estimation in nonlinear dynamical systems Nonlinear Dynamical Systems We examine inference and learning in discrete-time dynamical systems with hidden

  15. Landscape Plants: Fertilizing & Watering

    E-Print Network [OSTI]

    Ishida, Yuko

    Landscape Plants: Fertilizing & Watering Landscape Plants: Fertilizing & Watering Prevent runoff and shrubs, either through directly killing plants or making them more prone to disease. Fertilizer runoff into storm drains pollutes waterways. Maintain plant health and protect water quality by fertilizing

  16. Comparison of two optimization methods to derive energy parameters for protein folding

    E-Print Network [OSTI]

    Domany, Eytan

    Comparison of two optimization methods to derive energy parameters for protein folding: perceptron potential, perceptron, Z­score 1 #12; Abstract Two methods were proposed recently to derive energy, by means of a perceptron learning scheme, energy parameters such that the native conformations have lower

  17. Impact of Advanced Physics and Technology on the Attractiveness of Tokamak Fusion Power Plants

    E-Print Network [OSTI]

    Najmabadi, Farrokh

    Impact of Advanced Physics and Technology on the Attractiveness of Tokamak Fusion Power Plants--During the past ten years, the ARIES Team has studied a variety of tokamak power plants with different degrees to apply lessons learned from each ARIES design to the next. The results of ARIES tokamak power plant

  18. Subsurface Geotechnical Parameters Report

    SciTech Connect (OSTI)

    D. Rigby; M. Mrugala; G. Shideler; T. Davidsavor; J. Leem; D. Buesch; Y. Sun; D. Potyondy; M. Christianson

    2003-12-17

    The Yucca Mountain Project is entering a the license application (LA) stage in its mission to develop the nation's first underground nuclear waste repository. After a number of years of gathering data related to site characterization, including activities ranging from laboratory and site investigations, to numerical modeling of processes associated with conditions to be encountered in the future repository, the Project is realigning its activities towards the License Application preparation. At the current stage, the major efforts are directed at translating the results of scientific investigations into sets of data needed to support the design, and to fulfill the licensing requirements and the repository design activities. This document addresses the program need to address specific technical questions so that an assessment can be made about the suitability and adequacy of data to license and construct a repository at the Yucca Mountain Site. In July 2002, the U.S. Nuclear Regulatory Commission (NRC) published an Integrated Issue Resolution Status Report (NRC 2002). Included in this report were the Repository Design and Thermal-Mechanical Effects (RDTME) Key Technical Issues (KTI). Geotechnical agreements were formulated to resolve a number of KTI subissues, in particular, RDTME KTIs 3.04, 3.05, 3.07, and 3.19 relate to the physical, thermal and mechanical properties of the host rock (NRC 2002, pp. 2.1.1-28, 2.1.7-10 to 2.1.7-21, A-17, A-18, and A-20). The purpose of the Subsurface Geotechnical Parameters Report is to present an accounting of current geotechnical information that will help resolve KTI subissues and some other project needs. The report analyzes and summarizes available qualified geotechnical data. It evaluates the sufficiency and quality of existing data to support engineering design and performance assessment. In addition, the corroborative data obtained from tests performed by a number of research organizations is presented to reinforce conclusions derived from the pool of data gathered within a full QA-controlled domain. An evaluation of the completeness of the current data is provided with respect to the requirements for geotechnical data to support design and performance assessment.

  19. Compressed Air System Modifications Improve Efficiency at a Plastics Blow Molding Plant (Southeastern Container Plant)

    SciTech Connect (OSTI)

    None

    2001-06-01

    This case study is one in a series on industrial firms who are implementing energy efficient technologies and system improvements into their manufacturing processes. This case study documents the activities, savings, and lessons learned on the plastics blow molding plant project.

  20. Advanced nuclear plant control complex

    DOE Patents [OSTI]

    Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

    1993-01-01

    An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

  1. Plant Operational Status - Pantex Plant

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation | Center for GasPhysics Physics PrintPicturePlant

  2. Learning Noise Michael Schmidt

    E-Print Network [OSTI]

    Fernandez, Thomas

    Learning Noise Michael Schmidt Computational Synthesis Laboratory Cornell University Ithaca NY to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data by modeling the maximum likelihood output or least squared error, assuming that noise

  3. DOE Lessons Learned

    Broader source: Energy.gov [DOE]

    DOE Lessons Learned Information Services Catches the Eye of Corporations and Educational Institutions

  4. Protocol for secure quantum machine learning at a distant place

    E-Print Network [OSTI]

    Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong

    2015-08-05

    The application of machine learning to quantum information processing has recently attracted keen interest, particularly for the optimization of control parameters in quantum tasks without any pre-programmed knowledge. By adapting the machine learning technique, we present a novel protocol in which an arbitrarily initialized device at a learner's location is taught by a provider located at a distant place. The protocol is designed such that any external learner who attempts to participate in or disrupt the learning process can be prohibited or noticed. We numerically demonstrate that our protocol works faithfully for single-qubit operation devices. A trade-off between the inaccuracy and the learning time is also analyzed.

  5. Protocol for secure quantum machine learning at a distant place

    E-Print Network [OSTI]

    Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong

    2015-04-20

    The application of machine learning to quantum information processing has recently attracted keen interest, particularly for the optimization of control parameters in quantum tasks without any pre-programmed knowledge. By adapting the machine learning technique, we present a novel protocol in which an arbitrarily initialized device at a learner's location is taught by a provider located at a distant place. The protocol is designed such that any external learner who attempts to participate in or disrupt the learning process can be prohibited or noticed. We numerically demonstrate that our protocol works faithfully for single-qubit operation devices. A tradeoff between the inaccuracy and the learning time is also analyzed.

  6. Quantum Learning Machine

    E-Print Network [OSTI]

    Jeongho Bang; James Lim; M. S. Kim; Jinhyoung Lee

    2008-03-31

    We propose a novel notion of a quantum learning machine for automatically controlling quantum coherence and for developing quantum algorithms. A quantum learning machine can be trained to learn a certain task with no a priori knowledge on its algorithm. As an example, it is demonstrated that the quantum learning machine learns Deutsch's task and finds itself a quantum algorithm, that is different from but equivalent to the original one.

  7. Learn More about Fusion & Lasers

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

    Learn More about Fusion & Lasers How Lasers Work Learn how lasers were developed and how they work. Outreach NIF & Photon Science researchers take learning opportunities on the...

  8. Waste Treatment Plant Overview

    Office of Environmental Management (EM)

    contracted Bechtel National, Inc., to design and build the world's largest radioactive waste treatment plant. The Waste Treatment and Immobilization Plant (WTP), also known as the...

  9. Incorporating Learning Styles in a Computer-Supported Collaborative Learning

    E-Print Network [OSTI]

    Griffiths, Nathan

    they think and learn. Roschelle and Teasley focus more on the nature of interaction in collaborative learning a specific problem. Student reading groups for language learning courses are an example of learning groupsIncorporating Learning Styles in a Computer-Supported Collaborative Learning Model Shuangyan Liua

  10. The Learning Environment 

    E-Print Network [OSTI]

    Howard, Jeff W.

    2005-05-10

    As a 4-H volunteer, you have tremendous influence in determining the learning that takes place within your 4-H club or group. Adult volunteers also have the task of making the learning experiences attractive to young people. ...

  11. Polyhydroxyalkanoate synthesis in plants

    DOE Patents [OSTI]

    Srienc, Friedrich (Lake Elmo, MN); Somers, David A. (Roseville, MN); Hahn, J. J. (New Brighton, MN); Eschenlauer, Arthur C. (Circle Pines, MN)

    2000-01-01

    Novel transgenic plants and plant cells are capable of biosynthesis of polyhydroxyalkanoate (PHA). Heterologous enzymes involved in PHA biosynthesis, particularly PHA polymerase, are targeted to the peroxisome of a transgenic plant. Transgenic plant materials that biosynthesize short chain length monomer PHAs in the absence of heterologous .beta.-ketothiolase and acetoacetyl-CoA reductase are also disclosed.

  12. Ethylene insensitive plants

    DOE Patents [OSTI]

    Ecker, Joseph R. (Carlsbad, CA); Nehring, Ramlah (La Jolla, CA); McGrath, Robert B. (Philadelphia, PA)

    2007-05-22

    Nucleic acid and polypeptide sequences are described which relate to an EIN6 gene, a gene involved in the plant ethylene response. Plant transformation vectors and transgenic plants are described which display an altered ethylene-dependent phenotype due to altered expression of EIN6 in transformed plants.

  13. Report on Lessons Learned from the NP 2010 Early Site Permit Program FINAL REPORT

    SciTech Connect (OSTI)

    2008-03-26

    This report provides a summary of lessons learned from the demonstration of the licensing process for three Early Site Permit (ESP) applications supported as part of the Department of Energy’s (DOE) Nuclear Power 2010 (NP 2010) program. The ESP process was established by the Nuclear Regulatory Commission (NRC) to enable completion of the site evaluation component of nuclear power plant licensing under 10 CFR Part 52 before a utility makes a decision to build a plant. Early Site Permits are valid for 10 to 20 years and can be renewed for an additional 10 to 20 years. NRC review of an ESP application addresses site safety issues, environmental protection issues, and plans for coping with emergencies. Successful completion of the ESP process will establish that a site is suitable for possible future construction and operation of a nuclear power plant. Most importantly, an ESP resolves significant site-related safety and environmental issues early in the decision process and helps achieve acceptance by the public. DOE competitively selected Dominion Nuclear Energy North Anna, LLC (Dominion); System Energy Resources, Inc. (an Entergy subsidiary); and Exelon Generation Company, LLC (Exelon) in 2002 to demonstrate the ESP process and provided cost-shared support through the NP 2010 program. Dominion pursued an ESP for the North Anna site in Virginia; System Energy Resources, Inc. pursued an ESP for the Grand Gulf site in Mississippi; and Exelon pursued an ESP for the Clinton site in Illinois. After successfully demonstrating the process, the NRC issued an ESP for Clinton on March 17, 2007; Grand Gulf on April 5, 2007; and North Anna on November 27, 2007. As with all successful projects, there are lessons to be learned from the NP 2010 early site permitting demonstration that can help improve future implementation guidance documents and regulatory review standards. In general, these lessons pertain to the effectiveness of the regulatory process, experience related to guidance for developing and reviewing ESP applications, issues involving ESP plant parameters, and suggestions for future ESP applicants. The development, submittal, and issuance of these first ESPs under DOE’s NP 2010 program started the momentum to exercise NRC’s new 10 CFR Part 52 licensing process. Several key questions that define critical issues regarding the effectiveness of regulations pertaining to ESPs have been identified and summarized in this report. However, the final resolution of whether the ESP component of the Part 52 process significantly contributes to the predictability in nuclear power plant licensing requires more experience and time, such as the completion of the ongoing combined Construction and Operating License (COL) process for the North Anna and Grand Gulf sites. The three ESP project participants prepared and submitted to DOE lessons learned reports from their experience in developing, submitting, and receiving an ESP. This document summarizes these reports, which are appended hereto. The Nuclear Energy Institute (http://www.nei.org/) and NRC (http://www.nrc.gov/) have also prepared reports regarding their perspectives on lessons learned during the ESP process. Their documents can be accessed on their respective web sites. Following is a summary of the lessons learned from the NP 2010 ESP projects. Effectiveness of the ESP Process: In general, the ESP process is expected (subject to demonstration of the ESP finality provisions in the North Anna and Grand Gulf ESPs) to provide high value for applicants as a site banking and risk mitigation strategy. However, several aspects of the initial process, such as NRC hearings and determining an acceptable approach to the NRC’s Emergency Planning requirements, proved challenging for the applicants. Project Execution: Initial regulatory and industry guidance for planning and executing an ESP application program proved to be insufficient to address NRC’s document review expectations. However, continuous communication between NRC and the applicants helped establish an acceptable framework

  14. Learning and risk aversion 

    E-Print Network [OSTI]

    Oyarzun, Carlos

    2009-06-02

    This dissertation contains three essays on learning and risk aversion. In the first essay we consider how learning may lead to risk averse behavior. A learning rule is said to be risk averse if it is expected to add more probability to an action...

  15. Altered Fire Regimes Affect Landscape Patterns of Plant

    E-Print Network [OSTI]

    Mladenoff, David

    , average parameters can be hard to define as the frequency of the disturbance is of the same order of magni of disturbance and plant succession, to examine the resilience of dominant plant species, representing different disturbance response strate- gies, to the effect of varying fire rotation intervals (FRI). The simulated fire

  16. Learning to change, changing to learn : district conditions for organizational learning

    E-Print Network [OSTI]

    Guthrie, Victor Anthony

    2011-01-01

    are each focused on student learning. ” By their reports,2011). The focused theme of students learning continues and

  17. Spatial Data Analysis and Modeling of Radioactively-Contaminated Territories: Lessons Learned from Chernobyl

    E-Print Network [OSTI]

    catastrophes in the history of nuclear power. A test designed to assess the reactor's safety margins ­ geostatistics, machine learning algorithms, statistical learning theory, and to discuss some generic problems nuclear power plant in Ukraine on April 26, 1986. This accident appeared to be one of the most serious

  18. The Java Machine Learning Library Thomas Abeel, Yvan Saeys and Yves Van de Peer

    E-Print Network [OSTI]

    Gent, Universiteit

    The Java Machine Learning Library Thomas Abeel, Yvan Saeys and Yves Van de Peer Department of Plant.abeel@psb.ugent.be What is Java-ML? Motivation Code & Documentation Applications 1. Machine learning techniques: · 18: java doc and explanation of the algorithm · Generated API: from the source code · Changelog

  19. Poisonous Plant Management. 

    E-Print Network [OSTI]

    McGinty, Allan

    1985-01-01

    range specialist, The Texas A&M University System . 2 DIAGNOSING POISONOOS PLANT PROBLEMS Accurate diagnosis of poisonous plant problems can be extremely difficult. Many cases of livestock poisoning by plants have been improperly diagnosed... Agricultural Extension Service ~-P~,IJ& H~iN!/ P~,IJ&--------------- poisonous Plant ___ Management_ ..... Texas Agricultural Extension Service. The Texas A&M University System. College Station, Texas POISONO(]S PLANT MANAGEMENT Allan McGinty* Poisonous...

  20. Plant fatty acid hydroxylases

    DOE Patents [OSTI]

    Somerville, Chris (Portola Valley, CA); Broun, Pierre (Burlingame, CA); van de Loo, Frank (Lexington, KY)

    2001-01-01

    This invention relates to plant fatty acyl hydroxylases. Methods to use conserved amino acid or nucleotide sequences to obtain plant fatty acyl hydroxylases are described. Also described is the use of cDNA clones encoding a plant hydroxylase to produce a family of hydroxylated fatty acids in transgenic plants. In addition, the use of genes encoding fatty acid hydroxylases or desaturases to alter the level of lipid fatty acid unsaturation in transgenic plants is described.

  1. Summary of Planned Implementation for the HTGR Lessons Learned Applicable to the NGNP

    SciTech Connect (OSTI)

    Ian Mckirdy

    2011-09-01

    This document presents a reconciliation of the lessons learned during a 2010 comprehensive evaluation of pertinent lessons learned from past and present high temperature gas-cooled reactors that apply to the Next Generation Nuclear Plant Project along with current and planned activities. The data used are from the latest Idaho National Laboratory research and development plans, the conceptual design report from General Atomics, and the pebble bed reactor technology readiness study from AREVA. Only those lessons related to the structures, systems, and components of the Next Generation Nuclear Plant (NGNP), as documented in the recently updated lessons learned report are addressed. These reconciliations are ordered according to plant area, followed by the affected system, subsystem, or component; lesson learned; and finally an NGNP implementation statement. This report (1) provides cross references to the original lessons learned document, (2) describes the lesson learned, (3) provides the current NGNP implementation status with design data needs associated with the lesson learned, (4) identifies the research and development being performed related to the lesson learned, and (5) summarizes with a status of how the lesson learned has been addressed by the NGNP Project.

  2. AN ASSESSMENT OF THE BRAYTON CYCLE FOR HIGH PERFORMANCE POWER PLANTS R. Schleicher A. R. Raffray C. P. Wong

    E-Print Network [OSTI]

    Raffray, A. René

    AN ASSESSMENT OF THE BRAYTON CYCLE FOR HIGH PERFORMANCE POWER PLANTS R. Schleicher A. R. Raffray C examines in detail these parameters and proposes near-term values for fusion power plant studies based of helium CCGTs to fusion power plants. This paper explores fusion plant performance that could be achieved

  3. Confidence belts on bounded parameters

    E-Print Network [OSTI]

    J. Bouchez

    2000-01-13

    We show that the unified method recently proposed by Feldman and Cousins to put confidence intervals on bounded parameters cannot avoid the possibility of getting null results. A modified bayesian approach is also proposed (although not advocated) which ensures no null results and proper coverage.

  4. Observational constraints and cosmological parameters

    E-Print Network [OSTI]

    Antony Lewis

    2006-04-02

    I discuss the extraction of cosmological parameter constraints from the recent WMAP 3-year data, both on its own and in combination with other data. The large degeneracies in the first year data can be largely broken with the third year data, giving much better parameter constraints from WMAP alone. The polarization constraint on the optical depth is crucial to obtain the main results, including n_s < 1 in basic six-parameter models. Almost identical constraints can also be obtained using only temperature data with a prior on the optical depth. I discuss the modelling of secondaries when extracting parameter constraints, and show that the effect of CMB lensing is about as important as SZ and slightly increases the inferred value of the spectral index. Constraints on correlated matter isocurvature modes are not radically better than before, and the data is consistent with a purely adiabatic spectrum. Combining WMAP 3-year data with data from the Lyman-alpha forest suggests somewhat higher values for sigma_8 than from WMAP alone.

  5. Strategy for quantum algorithm design assisted by machine learning

    E-Print Network [OSTI]

    Jeongho Bang; Junghee Ryu; Seokwon Yoo; Marcin Pawlowski; Jinhyoung Lee

    2014-07-17

    We propose a method for quantum algorithm design assisted by machine learning. The method uses a quantum-classical hybrid simulator, where a "quantum student" is being taught by a "classical teacher." In other words, in our method, the learning system is supposed to evolve into a quantum algorithm for a given problem assisted by classical main-feedback system. Our method is applicable to design quantum oracle-based algorithm. As a case study, we chose an oracle decision problem, called a Deutsch-Jozsa problem. We showed by using Monte-Carlo simulations that our simulator can faithfully learn quantum algorithm to solve the problem for given oracle. Remarkably, learning time is proportional to the square root of the total number of parameters instead of the exponential dependance found in the classical machine learning based method.

  6. Hebbian Learning and Gradient Descent Learning Neural Computation : Lecture 5

    E-Print Network [OSTI]

    Bullinaria, John

    Hebbian Learning and Gradient Descent Learning Neural Computation : Lecture 5 © John A. Bullinaria, 2014 1. Hebbian Learning 2. Learning by Error Minimisation 3. Gradient Descent Learning 4. Deriving or persistently takes part in firing it, some growth process or metabolic change takes place on one or both cells

  7. biogas for rural communities TD390 Supervised learning: Study report

    E-Print Network [OSTI]

    Sohoni, Milind

    0 biogas for rural communities TD390 Supervised learning: Study report Vaibhav Nasery Roll No. 08D highly successful rural biogas models wherein biogas is produced and utilized as a cooking fuel by the villagers. The two models studied are the Community Biogas plant established by SUMUL Dairy at Bhintbudrak

  8. Imitation guided Learning in Learning Classifier Systems

    E-Print Network [OSTI]

    Métivier, Marc

    in the framework of learning classi- fier systems. We present three different approaches in the way a behavior observed may be taken into account through a guidance interaction: two approaches using a model

  9. Department of Plant Sciences and Plant Pathology

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    Crop Science Option The challenge for crop scientists is to implement crop and soil management systems, weed science, and entomology. Graduates find careers in farming and ranching; as crop productionDepartment of Plant Sciences and Plant Pathology Unique, hands-on study programs for students

  10. Plant Phenotype Characterization System

    SciTech Connect (OSTI)

    Daniel W McDonald; Ronald B Michaels

    2005-09-09

    This report is the final scientific report for the DOE Inventions and Innovations Project: Plant Phenotype Characterization System, DE-FG36-04GO14334. The period of performance was September 30, 2004 through July 15, 2005. The project objective is to demonstrate the viability of a new scientific instrument concept for the study of plant root systems. The root systems of plants are thought to be important in plant yield and thus important to DOE goals in renewable energy sources. The scientific study and understanding of plant root systems is hampered by the difficulty in observing root activity and the inadequacy of existing root study instrumentation options. We have demonstrated a high throughput, non-invasive, high resolution technique for visualizing plant root systems in-situ. Our approach is based upon low-energy x-ray radiography and the use of containers and substrates (artificial soil) which are virtually transparent to x-rays. The system allows us to germinate and grow plant specimens in our containers and substrates and to generate x-ray images of the developing root system over time. The same plant can be imaged at different times in its development. The system can be used for root studies in plant physiology, plant morphology, plant breeding, plant functional genomics and plant genotype screening.

  11. Performance and Fiscal Analysis of Distributed Sensor Networks in a Power Plant

    E-Print Network [OSTI]

    Tumer, Kagan

    Performance and Fiscal Analysis of Distributed Sensor Networks in a Power Plant Mitchell Colby University 204 Rogers Hall Corvallis, OR 97331 kagan.tumer@oregonstate.edu ABSTRACT As power plants become power plant, showing that system parameters may be accurately measured and tracked more effectively than

  12. Using Genetic Algorithms to Improve the Visual Quality of Fractal Plants Generated with CSGPLSystems

    E-Print Network [OSTI]

    1 Using Genetic Algorithms to Improve the Visual Quality of Fractal Plants Generated with CSG­system, that generates a desired plant. Especially the tuning of the parameter values is time consuming and demands a lot genetic algorithms to find PL­systems that generate natural looking plants of a desired species. PL

  13. Geothermal Demonstration Plant

    Office of Scientific and Technical Information (OSTI)

    configuration by the preparation of process flow diagrams for the initial plant operating condition and the 1-2 mid-range plant operating condition. have been revised and expanded...

  14. Plant centromere compositions

    DOE Patents [OSTI]

    Mach; Jennifer M. (Chicago, IL), Zieler; Helge (Del Mar, CA), Jin; RongGuan (Chesterfield, MO), Keith; Kevin (Three Forks, MT), Copenhaver; Gregory P. (Chapel Hill, NC), Preuss; Daphne (Chicago, IL)

    2011-11-22

    The present invention provides for the nucleic acid sequences of plant centromeres. This will permit construction of stably inherited recombinant DNA constructs and minichromosomes which can serve as vectors for the construction of transgenic plant and animal cells.

  15. Plant centromere compositions

    DOE Patents [OSTI]

    Mach, Jennifer (Chicago, IL); Zieler, Helge (Chicago, IL); Jin, James (Chicago, IL); Keith, Kevin (Chicago, IL); Copenhaver, Gregory (Chapel Hill, NC); Preuss, Daphne (Chicago, IL)

    2006-06-26

    The present invention provides for the nucleic acid sequences of plant centromeres. This will permit construction of stably inherited recombinant DNA constructs and minichromosomes which can serve as vectors for the construction of transgenic plant and animal cells.

  16. Plant centromere compositions

    DOE Patents [OSTI]

    Mach, Jennifer M. (Chicago, IL); Zieler, Helge (Del Mar, CA); Jin, RongGuan (Chesterfield, MO); Keith, Kevin (Three Forks, MT); Copenhaver, Gregory P. (Chapel Hill, NC); Preuss, Daphne (Chicago, IL)

    2011-08-02

    The present invention provides for the nucleic acid sequences of plant centromeres. This will permit construction of stably inherited recombinant DNA constructs and minichromosomes which can serve as vectors for the construction of transgenic plant and animal cells.

  17. Plant centromere compositions

    DOE Patents [OSTI]

    Mach, Jennifer (Chicago, IL); Zieler, Helge (Chicago, IL); Jin, RongGuan (Chicago, IL); Keith, Kevin (Chicago, IL); Copenhaver, Gregory (Chapel Hill, NC); Preuss, Daphne (Chicago, IL)

    2007-06-05

    The present invention provides for the nucleic acid sequences of plant centromeres. This will permit construction of stably inherited recombinant DNA constructs and minichromosomes which can serve as vectors for the construction of transgenic plant and animal cells.

  18. Plant centromere compositions

    DOE Patents [OSTI]

    Keith, Kevin; Copenhaver, Gregory; Preuss, Daphne

    2006-10-10

    The present invention provides for the nucleic acid sequences of plant centromeres. This will permit construction of stably inherited recombinant DNA constructs and minichromosomes which can serve as vectors for the construction of transgenic plant and animal cells.

  19. HYDROCARBONS & ENERGY FROM PLANTS

    E-Print Network [OSTI]

    Nemethy, E.K.

    2011-01-01

    LBL-8596 itr-t C,d.. HYDROCARBONS & ENERGY FROM PLANTS jmethods of isolating the hydrocarbon-like material from I.privatelyownedrights. HYDROCARBONS AND ENERGY FROM PLANTS

  20. LPG-recovery processes for baseload LNG plants examined

    SciTech Connect (OSTI)

    Chiu, C.H.

    1997-11-24

    With demand on the rise, LPG produced from a baseload LNG plant becomes more attractive as a revenue-earning product similar to LNG. Efficient use of gas expanders in baseload LNG plants for LPG production therefore becomes more important. Several process variations for LPG recovery in baseload LNG plants are reviewed here. Exergy analysis (based on the Second Law of Thermodynamics) is applied to three cases to compare energy efficiency resulting from integration with the main liquefaction process. The paper discusses extraction in a baseload plant, extraction requirements, process recovery parameters, extraction process variations, and exergy analysis.

  1. Optimizing parameters for predicting the geochemical behavior...

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

    parameters for predicting the geochemical behavior and performance of discrete fracture networks in geothermal systems Optimizing parameters for predicting the geochemical...

  2. Plant evolution The Evolution

    E-Print Network [OSTI]

    Rieseberg, Loren

    Plant evolution The Evolution of Plants by Kathy J. Willis and Jenny C. McElwain. Oxford University Press, 2002. $40.00/£22.99 pbk (378 pages) ISBN 0 19 850065 3 Developmental Genetics and Plant Evolution is observed for treatments of evolution and development. Titles of major monographs on the subject imply

  3. Power Plant Cycling Costs

    SciTech Connect (OSTI)

    Kumar, N.; Besuner, P.; Lefton, S.; Agan, D.; Hilleman, D.

    2012-07-01

    This report provides a detailed review of the most up to date data available on power plant cycling costs. The primary objective of this report is to increase awareness of power plant cycling cost, the use of these costs in renewable integration studies and to stimulate debate between policymakers, system dispatchers, plant personnel and power utilities.

  4. NUCLEAR PLANT AND CONTROL

    E-Print Network [OSTI]

    NUCLEAR PLANT OPERATIONS AND CONTROL KEYWORDS: software require- ments, safety analysis, formal for the digital protection systems of a nuclear power plant. When spec- ifying requirements for software and CRSA processes are described using shutdown system 2 of the Wolsong nuclear power plants as the digital

  5. Discretization and Approximation Methods for Reinforcement Learning of Highly Reconfigurable Systems 

    E-Print Network [OSTI]

    Lampton, Amanda K.

    2010-07-14

    the development of three modular enhancements to the Q-learning algorithm that solve some of the unique problems that arise when working with this class of systems, such as the complex interaction of reconfigurable parameters and computationally intensive models...

  6. Real-Time Optimization Data Reconciliation & Parameter

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Hydrocracker Fractionation Plant (Bailey et al, 1993) #12;6/24/11 4 7 Model consists of 2836 equality

  7. The cosmological parameters from supernovae

    E-Print Network [OSTI]

    P. Ruiz-Lapuente

    1997-10-02

    Supernovae are bright luminous stellar objects observable up to redshifts close to z~1. They are used to probe the geometry of the Universe and its expansion rate by applying different methods. In this article, I review various approaches used to measure the present expansion rate of the Universe, $H_{0}$, and the paths to determine its matter density $\\Omega_{M}$ and the possible contribution of a non-zero cosmological constant $\\Lambda$. An account is given of the numerical estimates of those cosmological parameters according to the present status of the research.

  8. Machine Learning: Foundations and Algorithms

    E-Print Network [OSTI]

    Ben-David, Shai

    Ben-David and Shai Shalev-Shwartz. #12;ii Empirical Risk Minimization (ERM) learning rule, which shows "how can a ma- chine learn". We also quantify the amount of data needed for learning using the ERM rule

  9. To appear in Proceedings of QR98, May 1998, Cape Cod. Distributed Coaching for an Intelligent Learning Environment

    E-Print Network [OSTI]

    Forbus, Kenneth D.

    learning to real-world concerns. Students using CyclePad can design power plants, refrigerators, engines with the system to date and plans for future work. 2. CyclePad CyclePad is an articulate virtual laboratory (AVL

  10. Estimation of economic parameters of U.S. hydropower resources

    SciTech Connect (OSTI)

    Hall, Douglas G.; Hunt, Richard T.; Reeves, Kelly S.; Carroll, Greg R.

    2003-06-01

    Tools for estimating the cost of developing and operating and maintaining hydropower resources in the form of regression curves were developed based on historical plant data. Development costs that were addressed included: licensing, construction, and five types of environmental mitigation. It was found that the data for each type of cost correlated well with plant capacity. A tool for estimating the annual and monthly electric generation of hydropower resources was also developed. Additional tools were developed to estimate the cost of upgrading a turbine or a generator. The development and operation and maintenance cost estimating tools, and the generation estimating tool were applied to 2,155 U.S. hydropower sites representing a total potential capacity of 43,036 MW. The sites included totally undeveloped sites, dams without a hydroelectric plant, and hydroelectric plants that could be expanded to achieve greater capacity. Site characteristics and estimated costs and generation for each site were assembled in a database in Excel format that is also included within the EERE Library under the title, “Estimation of Economic Parameters of U.S. Hydropower Resources - INL Hydropower Resource Economics Database.”

  11. Simulation Modeling of Plants and Plant Przemyslaw Prusinkiewicz

    E-Print Network [OSTI]

    Prusinkiewicz, Przemyslaw

    Simulation Modeling of Plants and Plant Ecosystems Przemyslaw Prusinkiewicz Reference Przemyslaw Prusinkiewicz: Simulation Modeling of Plants and Plant Ecosystems. Communications of the ACM vol. 43 no. 7, pp The modeling of plants and plant ecosystems has the captivating appeal of reproducing the visual beauty

  12. Potential nanotechnology applications for reducing freshwater consumption at coal fired power plants : an early view.

    SciTech Connect (OSTI)

    Elcock, D.

    2010-09-17

    This report was funded by the U.S. Department of Energy's (DOE's) National Energy Technology Laboratory (NETL) Existing Plants Research Program, which has an energy-water research effort that focuses on water use at power plants. This study complements the overall research effort of the Existing Plants Research Program by evaluating water issues that could impact power plants. A growing challenge to the economic production of electricity from coal-fired power plants is the demand for freshwater, particularly in light of the projected trends for increasing demands and decreasing supplies of freshwater. Nanotechnology uses the unique chemical, physical, and biological properties that are associated with materials at the nanoscale to create and use materials, devices, and systems with new functions and properties. It is possible that nanotechnology may open the door to a variety of potentially interesting ways to reduce freshwater consumption at power plants. This report provides an overview of how applications of nanotechnology could potentially help reduce freshwater use at coal-fired power plants. It was developed by (1) identifying areas within a coal-fired power plant's operations where freshwater use occurs and could possibly be reduced, (2) conducting a literature review to identify potential applications of nanotechnology for facilitating such reductions, and (3) collecting additional information on potential applications from researchers and companies to clarify or expand on information obtained from the literature. Opportunities, areas, and processes for reducing freshwater use in coal-fired power plants considered in this report include the use of nontraditional waters in process and cooling water systems, carbon capture alternatives, more efficient processes for removing sulfur dioxide and nitrogen oxides, coolants that have higher thermal conductivities than water alone, energy storage options, and a variety of plant inefficiencies, which, if improved, would reduce energy use and concomitant water consumption. These inefficiencies include air heater inefficiencies, boiler corrosion, low operating temperatures, fuel inefficiencies, and older components that are subject to strain and failure. A variety of nanotechnology applications that could potentially be used to reduce the amount of freshwater consumed - either directly or indirectly - by these areas and activities was identified. These applications include membranes that use nanotechnology or contain nanomaterials for improved water purification and carbon capture; nano-based coatings and lubricants to insulate and reduce heat loss, inhibit corrosion, and improve fuel efficiency; nano-based catalysts and enzymes that improve fuel efficiency and improve sulfur removal efficiency; nanomaterials that can withstand high temperatures; nanofluids that have better heat transfer characteristics than water; nanosensors that can help identify strain and impact damage, detect and monitor water quality parameters, and measure mercury in flue gas; and batteries and capacitors that use nanotechnology to enable utility-scale storage. Most of these potential applications are in the research stage, and few have been deployed at coal-fired power plants. Moving from research to deployment in today's economic environment will be facilitated with federal support. Additional support for research development and deployment (RD&D) for some subset of these applications could lead to reductions in water consumption and could provide lessons learned that could be applied to future efforts. To take advantage of this situation, it is recommended that NETL pursue funding for further research, development, or deployment for one or more of the potential applications identified in this report.

  13. THIRD AND FOURTH STOKES PARAMETERS IN POLARIMETRIC

    E-Print Network [OSTI]

    Tsang, Leung

    THIRD AND FOURTH STOKES PARAMETERS IN POLARIMETRIC PASSIVE MICROWAVE REMOTE SENSING OF ROUGH and fourth Stokes parameters. In particular, the fourth Stokes parameter can be large for such geometrical configurations. Results show that the nonzero third and fourth Stokes parameters exist for all frequencies

  14. ERASMUS EXCHANGE LEARNING AGREEMENT

    E-Print Network [OSTI]

    Pfeifer, Holger

    ERASMUS ­ EXCHANGE LEARNING AGREEMENT --FINAL THESIS / PROJECT -- Name of Applicant Exchange to conclude Bachelor Master PhD Other: Course No. Course Title Duration (Months) ECTS (5 ECTS / Month) N is approved. Date and Stamp: Coordinator Signature: #12;ERASMUS ­ EXCHANGE | LEARNING AGREEMENT --FINAL THESIS

  15. Research on Teaching & Learning

    E-Print Network [OSTI]

    Thompson, Michael

    #12;Research on Teaching & Learning GUIDEBOOK Nancy E.Fenton,RD,Ph.D Karen Szala-Meneok,Ph.D © Mc;............................ ..................... ................................................................................ Understanding Teaching and Learning Concepts What Counts as Research? Classroom Assessment Classroom Research ............................................................. ........................................... ...................... ..................................................................... ...............................Conducting Research at McMaster University Ethics of Conducting Pedagogical Research 22

  16. Learning in Parallel

    E-Print Network [OSTI]

    Vitter, Jeffrey Scott; Lin, Jyh-Han

    1992-01-01

    In this paper, we extend Valiant's sequential model of concept learning from examples [Valiant 1984] and introduce models for the e cient learning of concept classes from examples in parallel. We say that a concept class is NC-learnable if it can...

  17. PLANT DISEASES IN SOUTH CAROLINA

    E-Print Network [OSTI]

    Stuart, Steven J.

    INDEX OF PLANT DISEASES IN SOUTH CAROLINA James H. Blake, Ed.D. Director, Home & Garden Information to compile a list of plant diseases occurring on cultivated and native plants in South Carolina. The data or conclusive list of the diseases of plants in South Carolina. New plants as well as new plant pathogens

  18. Fast repetition rate (FRR) fluorometer and method for measuring fluorescence and photosynthetic parameters

    DOE Patents [OSTI]

    Kolber, Z.; Falkowski, P.

    1995-06-20

    A fast repetition rate fluorometer device and method for measuring in vivo fluorescence of phytoplankton or higher plants chlorophyll and photosynthetic parameters of phytoplankton or higher plants is revealed. The phytoplankton or higher plants are illuminated with a series of fast repetition rate excitation flashes effective to bring about and measure resultant changes in fluorescence yield of their Photosystem II. The series of fast repetition rate excitation flashes has a predetermined energy per flash and a rate greater than 10,000 Hz. Also, disclosed is a flasher circuit for producing the series of fast repetition rate flashes. 14 figs.

  19. Conditional sterility in plants

    DOE Patents [OSTI]

    Meagher, Richard B. (Athens, GA); McKinney, Elizabeth (Athens, GA); Kim, Tehryung (Taejeon, KR)

    2010-02-23

    The present disclosure provides methods, recombinant DNA molecules, recombinant host cells containing the DNA molecules, and transgenic plant cells, plant tissue and plants which contain and express at least one antisense or interference RNA specific for a thiamine biosynthetic coding sequence or a thiamine binding protein or a thiamine-degrading protein, wherein the RNA or thiamine binding protein is expressed under the regulatory control of a transcription regulatory sequence which directs expression in male and/or female reproductive tissue. These transgenic plants are conditionally sterile; i.e., they are fertile only in the presence of exogenous thiamine. Such plants are especially appropriate for use in the seed industry or in the environment, for example, for use in revegetation of contaminated soils or phytoremediation, especially when those transgenic plants also contain and express one or more chimeric genes which confer resistance to contaminants.

  20. System and method for motor parameter estimation

    DOE Patents [OSTI]

    Luhrs, Bin; Yan, Ting

    2014-03-18

    A system and method for determining unknown values of certain motor parameters includes a motor input device connectable to an electric motor having associated therewith values for known motor parameters and an unknown value of at least one motor parameter. The motor input device includes a processing unit that receives a first input from the electric motor comprising values for the known motor parameters for the electric motor and receive a second input comprising motor data on a plurality of reference motors, including values for motor parameters corresponding to the known motor parameters of the electric motor and values for motor parameters corresponding to the at least one unknown motor parameter value of the electric motor. The processor determines the unknown value of the at least one motor parameter from the first input and the second input and determines a motor management strategy for the electric motor based thereon.

  1. Concept Learning Learning Concepts from Examples

    E-Print Network [OSTI]

    on features #12;2 A Concept Learning Task Four Examples: Example Sky AirTemp Humidity Wind Water ForecastTemp Humidity Wind Water Forecast EnjoySport 1 Sunny Warm Normal Strong Warm Same Yes 2 Sunny Warm High Strong attributes Example Sky AirTemp Humidity Wind Water Forecast EnjoySpor 1 Sunny Warm Normal Strong Warm Same

  2. 2010 Plant Molecular Biology Gordon Research Conference

    SciTech Connect (OSTI)

    Michael Sussman

    2010-07-23

    The Plant Molecular Biology Conference has traditionally covered a breadth of exciting topics and the 2010 conference will continue in that tradition. Emerging concerns about food security have inspired a program with three main themes: (1) genomics, natural variation and breeding to understand adaptation and crop improvement, (2) hormonal cross talk, and (3) plant/microbe interactions. There are also sessions on epigenetics and proteomics/metabolomics. Thus this conference will bring together a range of disciplines, will foster the exchange of ideas and enable participants to learn of the latest developments and ideas in diverse areas of plant biology. The conference provides an excellent opportunity for individuals to discuss their research because additional speakers in each session will be selected from submitted abstracts. There will also be a poster session each day for a two-hour period prior to dinner. In particular, this conference plays a key role in enabling students and postdocs (the next generation of research leaders) to mingle with pioneers in multiple areas of plant science.

  3. Advanced nuclear plant control room complex

    DOE Patents [OSTI]

    Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

    1993-01-01

    An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

  4. SC Johnson Waxdale Plant

    SciTech Connect (OSTI)

    2010-01-01

    This is a combined heat and power (CHP) project profile on a 6.4 MW CHP application at SC Johnson Waxdale Plant in Racine, Wisconsin.

  5. HYDROCARBONS & ENERGY FROM PLANTS

    E-Print Network [OSTI]

    Nemethy, E.K.

    2011-01-01

    17 harvest was 19 rainfall contributed 5.6" water. Harvest.harvest 29 Aug~st, when plants began to flower, approximately 15 irrigation water

  6. BLENDED AND ONLINE LEARNING IN

    E-Print Network [OSTI]

    Ellis, Randy

    ) "Flipped classroom" - focus on active learning and enhanced student engagement in the classroom #12;First dissatisfied with student learning experience #12;Blended Learning Initiative Large, first-year courses student engagement improve student learning outcomes improve knowledge retention #12;Framework for Blended

  7. Time series association learning

    DOE Patents [OSTI]

    Papcun, George J. (Santa Fe, NM)

    1995-01-01

    An acoustic input is recognized from inferred articulatory movements output by a learned relationship between training acoustic waveforms and articulatory movements. The inferred movements are compared with template patterns prepared from training movements when the relationship was learned to regenerate an acoustic recognition. In a preferred embodiment, the acoustic articulatory relationships are learned by a neural network. Subsequent input acoustic patterns then generate the inferred articulatory movements for use with the templates. Articulatory movement data may be supplemented with characteristic acoustic information, e.g. relative power and high frequency data, to improve template recognition.

  8. A quantum speedup in machine learning: Finding a N-bit Boolean function for a classification

    E-Print Network [OSTI]

    Seokwon Yoo; Jeongho Bang; Changhyoup Lee; Jinhyoung Lee

    2014-10-14

    We compare quantum and classical machines designed for learning an N-bit Boolean function in order to address how a quantum system improves the machine learning behavior. The machines of the two types consist of the same number of operations and control parameters, but only the quantum machines utilize the quantum coherence naturally induced by unitary operators. We show that quantum superposition enables quantum learning that is faster than classical learning by expanding the approximate solution regions, i.e., the acceptable regions. This is also demonstrated by means of numerical simulations with a standard feedback model, namely random search, and a practical model, namely differential evolution.

  9. Learning a Representation of a Believable Virtual Character's Environment with an Imitation Algorithm

    E-Print Network [OSTI]

    Tencé, Fabien; De Loor, Pierre; Marc, Olivier

    2010-01-01

    In video games, virtual characters' decision systems often use a simplified representation of the world. To increase both their autonomy and believability we want those characters to be able to learn this representation from human players. We propose to use a model called growing neural gas to learn by imitation the topology of the environment. The implementation of the model, the modifications and the parameters we used are detailed. Then, the quality of the learned representations and their evolution during the learning are studied using different measures. Improvements for the growing neural gas to give more information to the character's model are given in the conclusion.

  10. Blind quantum machine learning

    E-Print Network [OSTI]

    Yu-Bo Sheng; Lan Zhou

    2015-07-26

    Blind quantum machine learning (BQML) enables a classical client with little quantum technology to delegate a remote quantum machine learning to the quantum server in such a approach that the privacy data is preserved. Here we propose the first BQML protocol that the client can classify two-dimensional vectors to different clusters, resorting to a remote small-scale photon quantum computation processor. During the protocol, the client is only required to rotate and measure the single qubit. The protocol is secure without leaking any relevant information to the Eve. Any eavesdropper who attempts to intercept and disturb the learning process can be noticed. In principle, this protocol can be used to classify high dimensional vectors and may provide a new viewpoint and application for quantum machine learning.

  11. Robot learning [TC Spotlight

    E-Print Network [OSTI]

    Tedrake, Russell Louis

    Creating autonomous robots that can learn to act in unpredictable environments has been a long-standing goal of robotics, artificial intelligence, and the cognitive sciences. In contrast, current commercially available ...

  12. Experiments in service learning

    E-Print Network [OSTI]

    Banzaert, Amy, 1976-

    2006-01-01

    Service learning, an educational method that involves the application of academic work to projects that benefit under-served communities, was explored in two complementary forms. First, the development of an alternative ...

  13. Computers for Learning

    Broader source: Energy.gov [DOE]

    Through Executive Order 12999, the Computers for Learning Program was established to provide Federal agencies a quick and easy system for donating excess and surplus computer equipment to schools...

  14. Modulating lignin in plants

    DOE Patents [OSTI]

    Apuya, Nestor; Bobzin, Steven Craig; Okamuro, Jack; Zhang, Ke

    2013-01-29

    Materials and methods for modulating (e.g., increasing or decreasing) lignin content in plants are disclosed. For example, nucleic acids encoding lignin-modulating polypeptides are disclosed as well as methods for using such nucleic acids to generate transgenic plants having a modulated lignin content.

  15. Plant pathogen resistance

    DOE Patents [OSTI]

    Greenberg, Jean T; Jung, Ho Won; Tschaplinski, Timothy

    2012-11-27

    Azelaic acid or its derivatives or analogs induce a robust and a speedier defense response against pathogens in plants. Azelaic acid treatment alone does not induce many of the known defense-related genes but activates a plant's defense signaling upon pathogen exposure.

  16. Plant fatty acid hydroxylase

    DOE Patents [OSTI]

    Somerville, Chris (Portola Valley, CA); van de Loo, Frank (Lexington, KY)

    2000-01-01

    The present invention relates to the identification of nucleic acid sequences and constructs, and methods related thereto, and the use of these sequences and constructs to produce genetically modified plants for the purpose of altering the composition of plant oils, waxes and related compounds.

  17. NUCLEAR PLANT OPERATIONS AND

    E-Print Network [OSTI]

    Demazière, Christophe

    NUCLEAR PLANT OPERATIONS AND CONTROL KEYWORDS: moderator temper ature coefficient, reactivity co reactor Unit 4 of the Ringhals Nuclear Power Plant (Sweden) during fuel cycle 16 is analyzed of Reactor Physics SE-41296 Gothenburg, Sweden GABOR PÓR Budapest University of Technology and Economics H

  18. NUCLEAR PLANT OPERATIONS AND

    E-Print Network [OSTI]

    Pázsit, Imre

    NUCLEAR PLANT OPERATIONS AND CONTROL KEYWORDS: moderator temper- ature coefficient, reactivity co reactor Unit 4 of the Ringhals Nuclear Power Plant (Sweden) during fuel cycle 16 is analyzed of Reactor Physics SE-41296 Gothenburg, Sweden GABOR PÓR Budapest University of Technology and Economics H

  19. Least square fitting with one parameter less

    E-Print Network [OSTI]

    Bernd A. Berg

    2015-05-28

    It is shown that whenever the multiplicative normalization of a fitting function is not known, least square fitting by $\\chi^2$ minimization can be performed with one parameter less than usual by converting the normalization parameter into a function of the remaining parameters and the data.

  20. AVESTAR Center for Operational Excellence of Electricity Generation Plants

    SciTech Connect (OSTI)

    Zitney, Stephen

    2012-08-29

    To address industry challenges in attaining operational excellence for electricity generation plants, the U.S. Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) has launched a world-class facility for Advanced Virtual Energy Simulation Training and Research (AVESTARTM). This presentation will highlight the AVESTARTM Center simulators, facilities, and comprehensive training, education, and research programs focused on the operation and control of high-efficiency, near-zero-emission electricity generation plants. The AVESTAR Center brings together state-of-the-art, real-time, high-fidelity dynamic simulators with full-scope operator training systems (OTSs) and 3D virtual immersive training systems (ITSs) into an integrated energy plant and control room environment. AVESTAR’s initial offering combines--for the first time--a “gasification with CO2 capture” process simulator with a “combined-cycle” power simulator together in a single OTS/ITS solution for an integrated gasification combined cycle (IGCC) power plant with carbon dioxide (CO2) capture. IGCC systems are an attractive technology option for power generation, especially when capturing and storing CO2 is necessary to satisfy emission targets. The AVESTAR training program offers a variety of courses that merge classroom learning, simulator-based OTS learning in a control-room operations environment, and immersive learning in the interactive 3D virtual plant environment or ITS. All of the courses introduce trainees to base-load plant operation, control, startups, and shutdowns. Advanced courses require participants to become familiar with coordinated control, fuel switching, power-demand load shedding, and load following, as well as to problem solve equipment and process malfunctions. Designed to ensure work force development, training is offered for control room and plant field operators, as well as engineers and managers. Such comprehensive simulator-based instruction allows for realistic training without compromising worker, equipment, and environmental safety. It also better prepares operators and engineers to manage the plant closer to economic constraints while minimizing or avoiding the impact of any potentially harmful, wasteful, or inefficient events. The AVESTAR Center is also used to augment graduate and undergraduate engineering education in the areas of process simulation, dynamics, control, and safety. Students and researchers gain hands-on simulator-based training experience and learn how the commercial-scale power plants respond dynamically to changes in manipulated inputs, such as coal feed flow rate and power demand. Students also analyze how the regulatory control system impacts power plant performance and stability. In addition, students practice start-up, shutdown, and malfunction scenarios. The 3D virtual ITSs are used for plant familiarization, walk-through, equipment animations, and safety scenarios. To further leverage the AVESTAR facilities and simulators, NETL and its university partners are pursuing an innovative and collaborative R&D program. In the area of process control, AVESTAR researchers are developing enhanced strategies for regulatory control and coordinated plant-wide control, including gasifier and gas turbine lead, as well as advanced process control using model predictive control (MPC) techniques. Other AVESTAR R&D focus areas include high-fidelity equipment modeling using partial differential equations, dynamic reduced order modeling, optimal sensor placement, 3D virtual plant simulation, and modern grid. NETL and its partners plan to continue building the AVESTAR portfolio of dynamic simulators, immersive training systems, and advanced research capabilities to satisfy industry’s growing need for training and experience with the operation and control of clean energy plants. Future dynamic simulators under development include natural gas combined cycle (NGCC) and supercritical pulverized coal (SCPC) plants with post-combustion CO2 capture. These dynamic simulators are targeted for us

  1. Modeling plant growth and development Przemyslaw Prusinkiewicz

    E-Print Network [OSTI]

    Prusinkiewicz, Przemyslaw

    Modeling plant growth and development Przemyslaw Prusinkiewicz Department of Computer Science plant models or "virtual plants" are increasingly seen as a useful tool for comprehending complex relationships between gene function, plant physiology, plant development, and the resulting plant form

  2. Unsupervised Learning of Object Descriptors and Compositions

    E-Print Network [OSTI]

    Ye, Xingyao

    2012-01-01

    Reported Experiments A New Experiment on Human Learning ofof previous experiments on human chunk learning, along withnew psychophysical experiment, where human observers learned

  3. Formative Assessment, Equity, and Opportunity to Learn

    E-Print Network [OSTI]

    Hilberg, Soleste

    2012-01-01

    inquiry focused on student learning, and to explore theirinquiry focused on student learning, and (c) how this workinquiry focused on student learning. Interrelatedly, there

  4. Lessons Learned Database | Department of Energy

    Office of Environmental Management (EM)

    Lessons Learned Database Lessons Learned Database The DOE Corporate Lessons Learned Database provides a central clearinghouse that allows ready access to and communication about...

  5. Neural predictors of auditory word learning

    E-Print Network [OSTI]

    2008-01-01

    N EURO R EPORT AUDITORY WORD LEARNING (a) (a) R Pre-trainingpredict the efficiency of word learning. Acknowledgementspredictors of visual word learning. Neuropsychologia 9.

  6. BIOENERGIZEME INFOGRAPHIC CHALLENGE: Photosynthesis: Plants Making...

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

    Photosynthesis: Plants Making Fuel BIOENERGIZEME INFOGRAPHIC CHALLENGE: Photosynthesis: Plants Making Fuel BIOENERGIZEME INFOGRAPHIC CHALLENGE: Photosynthesis: Plants Making Fuel...

  7. Derivative-free optimization of rate parameters of capsid assembly models from bulk in vitro data

    E-Print Network [OSTI]

    Xie, Lu; Schwartz, Russell

    2015-01-01

    The assembly of virus capsids from free coat proteins proceeds by a complicated cascade of association and dissociation steps, the great majority of which cannot be directly experimentally observed. This has made capsid assembly a rich field for computational models to attempt to fill the gaps in what is experimentally observable. Nonetheless, accurate simulation predictions depend on accurate models and there are substantial obstacles to model inference for such systems. Here, we describe progress in learning parameters for capsid assembly systems, particularly kinetic rate constants of coat-coat interactions, by computationally fitting simulations to experimental data. We previously developed an approach to learn rate parameters of coat-coat interactions by minimizing the deviation between real and simulated light scattering data monitoring bulk capsid assembly in vitro. This is a difficult data-fitting problem, however, because of the high computational cost of simulating assembly trajectories, the stochas...

  8. Plant Phenotype Characterization System | Department of Energy

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

    Plant Phenotype Characterization System Plant Phenotype Characterization System New X-Ray Technology Accelerates Plant Research The ability to analyze plant root structure and...

  9. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo

    E-Print Network [OSTI]

    Yildirim, Sinan

    2013-06-11

    , respectively. This approach is useful to handle the case where the columns of Y are generated sequentially in time, such as in audio signal processing. Usually very large number of columns in Y leads to the necessity of online algorithms to learn the model... .6 (dashed lines). For illustrative purposes, every 1000th estimate is shown . . . . . . . . . . . . . . . . . . . . . . . 130 6.1 Histograms of Monte Carlo estimates of gradients of log p?,?,?? (Y ?,?,?) w.r.t. the parameters of the ?-stable distribution...

  10. Iowa Nuclear Profile - Power Plants

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

    Iowa nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  11. Illinois Nuclear Profile - Power Plants

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

    Illinois nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  12. Arkansas Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  13. Nebraska Nuclear Profile - Power Plants

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

    Nebraska nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  14. Washington Nuclear Profile - Power Plants

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

    Washington nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  15. Mississippi Nuclear Profile - Power Plants

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

    Mississippi nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  16. Connecticut Nuclear Profile - Power Plants

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

    Connecticut nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  17. Maryland Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  18. Missouri Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  19. Virginia Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  20. Arizona Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  1. Pennsylvania Nuclear Profile - Power Plants

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

    Pennsylvania nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  2. Florida Nuclear Profile - Power Plants

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

    Florida nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  3. Ohio Nuclear Profile - Power Plants

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

    Ohio nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  4. Michigan Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  5. California Nuclear Profile - Power Plants

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

    California nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  6. Alabama Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  7. Tennessee Nuclear Profile - Power Plants

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

    Tennessee nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  8. Massachusetts Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  9. Georgia Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  10. Vermont Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  11. Kansas Nuclear Profile - Power Plants

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

    Kansas nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  12. Texas Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  13. Minnesota Nuclear Profile - Power Plants

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

    Minnesota nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  14. Wisconsin Nuclear Profile - Power Plants

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

    Wisconsin nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  15. GEOTHERMAL POWER GENERATION PLANT

    Broader source: Energy.gov [DOE]

    Project objectives: Drilling a deep geothermal well on the Oregon Institute of Technology campus, Klamath Falls, OR. Constructing a geothermal power plant on the Oregon Institute of Technology campus.

  16. Plant Site Refrigeration Upgrade 

    E-Print Network [OSTI]

    Zdrojewski, R.; Healy, M.; Ramsey, J.

    1999-01-01

    Bayer Corporation operates a multi-division manufacturing facility in Bushy Park, South Carolina. Low temperature refrigeration (-4°F) is required by many of the chemical manufacturing areas and is provided by a Plant Site Refrigeration System...

  17. HYDROCARBONS & ENERGY FROM PLANTS

    E-Print Network [OSTI]

    Nemethy, E.K.

    2011-01-01

    categories: I. Methods of extraction of the dried plants.d) Processing methods: optimum extraction procedures;is the traditional method of extraction for rUbber-pr~duci

  18. Heating Plant Emergency Instructions

    E-Print Network [OSTI]

    de Leon, Alex R.

    Heating Plant Emergency Instructions In the event of an EMERGENCY dial 403-220-5333 for Campus room, closet or hallway (ground floor, if possible) Stay away from outside walls, windows and doors

  19. Plant Vascular Biology 2010

    SciTech Connect (OSTI)

    Ding, Biao

    2014-11-17

    This grant supported the Second International Conference on Plant Vascular Biology (PVB 2010) held July 24-28, 2010 on the campus of Ohio State University, Columbus, Ohio. Biao Ding (Ohio State University; OSU) and David Hannapel (Iowa State University; ISU) served as co-chairs of this conference. Biao Ding served as the local organizer. PVB is defined broadly here to include studies on the biogenesis, structure and function of transport systems in plants, under conditions of normal plant growth and development as well as of plant interactions with pathogens. The transport systems cover broadly the xylem, phloem, plasmodesmata and vascular cell membranes. The PVB concept has emerged in recent years to emphasize the integrative nature of the transport systems and approaches to investigate them.

  20. & Immobilization Plant Project

    Office of Environmental Management (EM)

    and monitoring challenges at the Waste Treatment Plant (WTP) in Hanford. The "black cell" design concept and the use of Power Fluidic Pulse Jet Mixer technology on which WTP is...

  1. Long-term functional plasticity in plant hydraulic architecture in response to supplemental moisture

    E-Print Network [OSTI]

    Archer, Steven R.

    Long-term functional plasticity in plant hydraulic architecture in response to supplemental of nearby individuals growing where soil moisture had been supplemented for 14 years. Traditional parameters receiving supplemental moisture consistently showed significant responses in all considered traits related

  2. Compressed Air System Modifications Improve Efficiency at a Plastics Blow Molding Plant (Southeastern Container Plant): Office of Industrial Technologies (OIT) BestPractices Technical Case Study

    SciTech Connect (OSTI)

    Wogsland, J.

    2001-06-18

    This case study is one in a series on industrial firms who are implementing energy efficient technologies and system improvements into their manufacturing processes. This case study documents the activities, savings, and lessons learned on the plastics blow molding plant project.

  3. Adding a Learning Module -1 Adding a Learning Module

    E-Print Network [OSTI]

    Cui, Yan

    Items focused on a specific subject that students can navigate at their own pace. For example or No for Enforce Sequential Viewing for the Learning Module. Selecting Yes will require students to view the Learning Module within a Table of Contents, which students can also use to navigate through the Learning

  4. 1 Design by Autonomous Learning Design by Autonomous Learning

    E-Print Network [OSTI]

    Prabhakar, Sattiraju

    1 Design by Autonomous Learning Design by Autonomous Learning: Modeling Environment for Design Box 123, Broadway NSW 2007, Australia Email: {prabhakar, gjsmith}@socs.uts.edu.au 1. Design by Autonomous Learning An important area of expertise robots can provide is design of artefacts in physical

  5. PVLV: The Primary Value and Learned Value Pavlovian Learning Algorithm

    E-Print Network [OSTI]

    O'Reilly, Randall C.

    robust to variability in the environment. The primary value (PV) system controls performance and learning during primary rewards, whereas the learned value (LV) system learns about conditioned stimuli. The PV framework (Sutton, 1988; Sutton & Barto, 1998) is by far the most widely adopted computational level account

  6. Parameter study of a vehicle-scale hydrogen storage system.

    SciTech Connect (OSTI)

    Johnson, Terry Alan; Kanouff, Michael P.

    2010-04-01

    Sandia National Laboratories has developed a vehicle-scale prototype hydrogen storage system as part of a Work For Others project funded by General Motors. This Demonstration System was developed using the complex metal hydride sodium alanate. For the current work, we have continued our evaluation of the GM Demonstration System to provide learning to DOE's hydrogen storage programs, specifically the new Hydrogen Storage Engineering Center of Excellence. Baseline refueling data during testing for GM was taken over a narrow range of optimized parameter values. Further testing was conducted over a broader range. Parameters considered included hydrogen pressure and coolant flow rate. This data confirmed the choice of design pressure of the Demonstration System, but indicated that the system was over-designed for cooling. Baseline hydrogen delivery data was insufficient to map out delivery rate as a function of temperature and capacity for the full-scale system. A more rigorous matrix of tests was performed to better define delivery capabilities. These studies were compared with 1-D and 2-D coupled multi-physics modeling results. The relative merits of these models are discussed along with opportunities for improved efficiency or reduced mass and volume.

  7. Sensitivity analysis of Stirling engine design parameters

    SciTech Connect (OSTI)

    Naso, V.; Dong, W.; Lucentini, M.; Capata, R.

    1998-07-01

    In the preliminary Stirling engine design process, the values of some design parameters (temperature ratio, swept volume ratio, phase angle and dead volume ratio) have to be assumed; as a matter of fact it can be difficult to determine the best values of these parameters for a particular engine design. In this paper, a mathematical model is developed to analyze the sensitivity of engine's performance variations corresponding to variations of these parameters.

  8. Adsorption Thermodynamics and Intrinsic Activation Parameters...

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

    Adsorption Thermodynamics and Intrinsic Activation Parameters for Monomolecular Cracking of n-Alkanes on Bronsted Acid Sites in Zeolites Previous Next List Amber Janda, Bess...

  9. Learning Deep Generative Ruslan Salakhutdinov

    E-Print Network [OSTI]

    Toronto, University of

    Learning Deep Generative Models Ruslan Salakhutdinov Departments of Computer Science reserved Keywords deep learning, deep belief networks, deep Boltzmann machines, graphical models Abstract suggest that building such systems requires models with deep architectures that involve many layers

  10. Smart subtitles for vocabulary learning

    E-Print Network [OSTI]

    Kovacs, Geza

    Language learners often use subtitled videos to help them learn. However, standard subtitles are geared more towards comprehension than vocabulary learning, as translations are nonliteral and are provided only for phrases, ...

  11. MONITORING POWER PLANT EFFICIENCY USING THE MICROWAVE-EXCITED PHOTOACOUSTIC EFFECT TO MEASURE UNBURNED CARBON

    SciTech Connect (OSTI)

    Robert C. Brown; Robert J. Weber; Andrew A. Suby

    2002-05-13

    Three test instruments are being evaluated to determine the feasibility of using photo-acoustic technology for measuring unburned carbon in fly ash. The first test instrument is a single microwave frequency system previously constructed to measure photo-acoustic signals in an off-line configuration. This system was assembled and used to begin testing parameters thought to be influential in the resulting photo-acoustic signal output. A standard modulation frequency was chosen based upon signal to noise data gained from experimentation. Sample heterogeneity was tested and found not to be influential. Many other tests were performed during the second quarter. Preliminary results show that compression and photo-acoustic volume have an impact on photo-acoustic signal. Conclusions regarding the data for sample bulk density, temperature, humidity, moisture content, and linearity are pending further review. Conclusions for ambient temperature and humidity are pending further review as well. Simultaneously, a second instrument is to be constructed based in part on lessons learned with the first instrument, and to expand the capabilities of the first instrument. Improvements include a control loop to allow more constant microwave power output and an ability to operate over a range of microwave frequencies. To date, the design of the second instrument has been completed and most of the components received. The third instrument will be designed based on the experiences of the first two instruments and will operate in an on-line carbon-in-ash monitoring system for coal-fired power plants.

  12. Century Learning through Apple Technology

    E-Print Network [OSTI]

    21st Century Learning through Apple Technology July 4 ­ 5, 2013 This exciting institute will appeal to educators who wish to enhance their teaching in support of 21st century learning using Apple technology. This institute begins with a keynote address that looks at how new technologies can enhance 21st century learning

  13. Writing and Assessing Learning Outcomes

    E-Print Network [OSTI]

    Fernandez, Eduardo

    Outcomes... Are student-focused Focus on learning resulting from an activity rather than the activity outcomes) to describing effectiveness (Learning outcomes) · Links Student Affairs and Academic Affairs; links curricular and co-curricular #12;Biggest challenges to assessing learning · Students do

  14. EARLY ENTRANCE COPRODUCTION PLANT

    SciTech Connect (OSTI)

    Randy Roberts

    2003-04-25

    The overall objective of this project is the three phase development of an Early Entrance Coproduction Plant (EECP) which produces at least one product from at least two of the following three categories: (1) electric power (or heat), (2) fuels, and (3) chemicals using petroleum coke and ChevronTexaco's proprietary gasification technology. The objective of Phase I was to determine the feasibility and define the concept for the EECP located at a specific site; develop a Research, Development, and Testing (RD&T) Plan to mitigate technical risks and barriers; and prepare a Preliminary Project Financing Plan. The objective of Phase II is to implement the work as outlined in the Phase I RD&T Plan to enhance the development and commercial acceptance of coproduction technology. The objective of Phase III is to develop an engineering design package and a financing and testing plan for an EECP located at a specific site. The project's intended result is to provide the necessary technical, economic, and environmental information needed by industry to move the EECP forward to detailed design, construction, and operation. The partners in this project are Texaco Energy Systems LLC. (a subsidiary of ChevronTexaco), General Electric (GE), Praxair, and Kellogg Brown & Root (KBR) in addition to the U.S. Department of Energy (DOE). ChevronTexaco is providing gasification technology and Fischer-Tropsch technology developed by Rentech, GE is providing combustion turbine technology, Praxair is providing air separation technology and KBR is providing engineering. Each of the EECP subsystems were assessed for technical risks and barriers. A plan was identified to mitigate the identified risks (Phase II RD&T Plan, October 2000). The RD&T Plan identified F-T reactor scale-up as a potential technical risk. The objective of Task 2.3 was to confirm engineering models that allow scale-up to commercial slurry phase bubble column (SPBC) reactors operating in the churn-turbulent flow regime. In developmental work outside the scope of this project, historical data, literature references, and a scale-up from a 1 1/2-in. (3.8 cm) to 6-ft (1.8 m) SPBC reactor have been reviewed. This review formed the background for developing scale-up models for a SPBC reactor operating in the churn-turbulent flow regime. The necessary fundamental physical parameters have been measured and incorporated into the mathematical catalyst/kinetic model developed from the SPBC and CSTR work outside the scope of this EECP project. The mathematical catalyst/kinetic model was used to compare to experimental data obtained at Rentech during the EECP Fischer-Tropsch Confirmation Run (Task 2.1; reported separately). The prediction of carbon monoxide (CO) conversion as a function of days on stream compares quite closely to the experimental data.

  15. Power plant computer aided design software char properties generated by a fluidized bed gasifier 

    E-Print Network [OSTI]

    Siebold, Walter Joachim

    1987-01-01

    POWER PLANT COMPUTER AIDED DESIGN SOFTWARE CHAR PROPERTIES GENERATED BY A FLUIDIZED BED GASIFIER A Thesis by WALTER JOACHIM SIEBOLD Submitted to the Graduate College of Texas ASM University In partial fulfillment of the requirements... incorporates the application of many engineering disciplines. Some of the design parameters are company's well kept secrets. However, using basic engineering fundamentals, a rough power plant layout can be designed. The power plant design shoul d star...

  16. DER Program Weibull Strength Parameter Requirements for

    E-Print Network [OSTI]

    Pennycook, Steve

    an acceptable component failure rate. Utilize NASA/CARES to back-calculate Weibull parameter pairs that when Wereszczak Oak Ridge National Laboratory Curt Johnson General Electric Corporate Research & Development the quality of the parameter estimates. This effect is depicted relative to the material performance curves

  17. PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING

    E-Print Network [OSTI]

    Ewing, Richard E.

    PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely used parameters in petroleum and groundwater models. It is not intended to be exhaustive, but rather to give

  18. Software Carpentry: Lessons Learned

    E-Print Network [OSTI]

    Greg Wilson

    2014-01-29

    Over the last 15 years, Software Carpentry has evolved from a week-long training course at the US national laboratories into a worldwide volunteer effort to raise standards in scientific computing. This article explains what we have learned along the way the challenges we now face, and our plans for the future.

  19. GEOTHERMAL POWER GENERATION PLANT

    SciTech Connect (OSTI)

    Boyd, Tonya

    2013-12-01

    Oregon Institute of Technology (OIT) drilled a deep geothermal well on campus (to 5,300 feet deep) which produced 196oF resource as part of the 2008 OIT Congressionally Directed Project. OIT will construct a geothermal power plant (estimated at 1.75 MWe gross output). The plant would provide 50 to 75 percent of the electricity demand on campus. Technical support for construction and operations will be provided by OIT’s Geo-Heat Center. The power plant will be housed adjacent to the existing heat exchange building on the south east corner of campus near the existing geothermal production wells used for heating campus. Cooling water will be supplied from the nearby cold water wells to a cooling tower or air cooling may be used, depending upon the type of plant selected. Using the flow obtained from the deep well, not only can energy be generated from the power plant, but the “waste” water will also be used to supplement space heating on campus. A pipeline will be construction from the well to the heat exchanger building, and then a discharge line will be construction around the east and north side of campus for anticipated use of the “waste” water by facilities in an adjacent sustainable energy park. An injection well will need to be drilled to handle the flow, as the campus existing injection wells are limited in capacity.

  20. Experimental critical parameters of plutonium metal cylinders flooded with water

    SciTech Connect (OSTI)

    NONE

    1996-07-01

    Forty-nine critical configurations are reported for experiments involving arrays of 3 kg plutonium metal cylinders moderated and reflected by water. Thirty-four of these describe systems assembled in the laboratory, while 15 others are derived critical parameters inferred from 46 subcritical cases. The arrays included 2x2xN, N = 2, 3, 4, and 5, in one program and 3x3x3 configurations in a later study. All were three-dimensional, nearly square arrays with equal horizontal lattice spacings but a different vertical lattice spacing. Horizontal spacings ranged from units in contact to 180 mm center-to-center; and vertical spacings ranged from about 80 mm to almost 400 mm center-to-center. Several nearly-equilateral 3x3x3 arrays exhibit an extremely sensitive dependence upon horizontal separation for identical vertical spacings. A line array of unreflected and essentially unmoderated canned plutonium metal units appeared to be well subcritical based on measurements made to assure safety during the manual assembly operations. All experiments were performed at two widely separated times in the mid-1970s and early 1980s under two programs at the Rocky Flats Plant`s Critical Mass Laboratory.

  1. Abiotic Stress Effects on Physiological, Agronomic and Molecular Parameters of 1-MCP Treated Cotton Plants 

    E-Print Network [OSTI]

    Da Costa, Vladimir Azevedo

    2012-02-14

    ., 1986; Morgan et al., 1990; Narayana et al., 1991). Two key enzymes are involved in the ethylene synthesis pathway. The first enzyme ACC-synthase (ACS) converts S-adenosylmethionine (SAM), which originates in the methionine cycle, to 1..., but upon stimulation ACS activity can be quickly induced (Chae et al., 2003). Both ACS and ACO can be induced upon stress (Morgan and Drew, 1997). Unlike ACS, ACO has a constitutive activity present in most tissues. Thus, one of the major steps during...

  2. Geothermal Plant Capacity Factors

    SciTech Connect (OSTI)

    Greg Mines; Jay Nathwani; Christopher Richard; Hillary Hanson; Rachel Wood

    2015-01-01

    The capacity factors recently provided by the Energy Information Administration (EIA) indicated this plant performance metric had declined for geothermal power plants since 2008. Though capacity factor is a term commonly used by geothermal stakeholders to express the ability of a plant to produce power, it is a term frequently misunderstood and in some instances incorrectly used. In this paper we discuss how this capacity factor is defined and utilized by the EIA, including discussion on the information that the EIA requests from operations in their 923 and 860 forms that are submitted both monthly and annually by geothermal operators. A discussion is also provided regarding the entities utilizing the information in the EIA reports, and how those entities can misinterpret the data being supplied by the operators. The intent of the paper is to inform the facility operators as the importance of the accuracy of the data that they provide, and the implications of not providing the correct information.

  3. Lessons learned bulletin. Number 2

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    During the past four years, the Department of Energy -- Savannah River Operations Office and the Westinghouse Savannah River Company (WSRC) Environmental Restoration (ER) Program completed various activities ranging from waste site investigations to closure and post closure projects. Critiques for lessons learned regarding project activities are performed at the completion of each project milestone, and this critique interval allows for frequent recognition of lessons learned. In addition to project related lessons learned, ER also performs lessons learned critiques. T`he Savannah River Site (SRS) also obtains lessons learned information from general industry, commercial nuclear industry, naval nuclear programs, and other DOE sites within the complex. Procedures are approved to administer the lessons learned program, and a database is available to catalog applicable lessons learned regarding environmental remediation, restoration, and administrative activities. ER will continue to use this database as a source of information available to SRS personnel.

  4. MFV Reductions of MSSM Parameter Space

    E-Print Network [OSTI]

    S. S. AbdusSalam; C. P. Burgess; F. Quevedo

    2015-02-09

    The 100+ free parameters of the minimal supersymmetric standard model (MSSM) make it computationally difficult to compare systematically with data, motivating the study of specific parameter reductions such as the cMSSM and pMSSM. Here we instead study the reductions of parameter space implied by using minimal flavour violation (MFV) to organise the R-parity conserving MSSM, with a view towards systematically building in constraints on flavour-violating physics. Within this framework the space of parameters is reduced by expanding soft supersymmetry-breaking terms in powers of the Cabibbo angle, leading to a 24-, 30- or 42-parameter framework (which we call MSSM-24, MSSM-30, and MSSM-42 respectively), depending on the order kept in the expansion. We provide a Bayesian global fit to data of the MSSM-30 parameter set to show that this is manageable with current tools. We compare the MFV reductions to the 19-parameter pMSSM choice and show that the pMSSM is not contained as a subset. The MSSM-30 analysis favours a relatively lighter TeV-scale pseudoscalar Higgs boson and $\\tan \\beta \\sim 10$ with multi-TeV sparticles.

  5. R&D ERL: Beam dynamics, parameters, and physics to be learned

    SciTech Connect (OSTI)

    Kayran, D.

    2010-02-01

    The R&D ERL facility at BNL aims to demonstrate CW operation of ERL with average beam current in the range of 0.1-1 ampere, combined with very high efficiency of energy recovery. The ERL is being installed in one of the spacious bays in Bldg. 912 of the RHIC/AGS complex (Fig. 1). The bay is equipped with an overhead crane. The facility has a control room, two service rooms and a shielded ERL cave. The control room is located outside of the bay in a separate building. The single story house is used for a high voltage power supply for 1 MW klystron. The two-story unit houses a laser room, the CW 1 MW klystron with its accessories, most of the power supplies and electronics. The ERL R&D program has been started by the Collider Accelerator Department (C-AD) at BNL as an important stepping-stone for 10-fold increase of the luminosity of the Relativistic Heavy Ion Collider (RHIC) using relativistic electron cooling of gold ion beams with energy of 100 GeV per nucleon. Furthermore, the ERL R&D program extends toward a possibility of using 10-20 GeV ERL for future electron-hadron/heavy ion collider, MeRHIC/eRHIC. These projects are the driving force behind the development of ampere-class ERL technology, which will find many applications including light sources and FELs. The intensive R&D program geared towards the construction of the prototype ERL is under way: from development of high efficiency photo-cathodes to the development of new merging system compatible with emittance compensation.

  6. ASME PTC 47 -- Calculation of overall IGCC plant performance

    SciTech Connect (OSTI)

    Xiong, T.; Horazak, D.A.

    1999-07-01

    An integrated gasification combined cycle (IGCC) plant is a combined chemical and power system that converts coal or other unrefined fuel into clean gaseous fuel, electric power, and other byproducts. The conversion process requires interactions among the gasification, gas cleaning, air or oxygen production, power and steam generation systems. Overall performance testing of IGCC plants. however, is based only on the streams that cross the overall plant boundary. This paper describes the calculation procedures required to conduct a fair and accurate performance test of an IGCC plant, as proposed for ASME Performance Test Code 47. Discussions include identification of parameters to be measured, calculations needed to evaluate performance, and corrections to performance data for test conditions that differ from reference conditions.

  7. Wind Power Variability, Its Cost, and Effect on Power Plant Emissions

    E-Print Network [OSTI]

    Wind Power Variability, Its Cost, and Effect on Power Plant Emissions A Dissertation Submitted The recent growth in wind power is transforming the operation of electricity systems by introducing. As a result, system operators are learning in real-time how to incorporate wind power and its variability

  8. Motor Assembly Plant Saves $85,000 with Compressed Air System Improvements (Bodine Electric's Chicago Facility)

    SciTech Connect (OSTI)

    2001-06-01

    This case study is one in a series on industrial firms who are implementing energy efficient technologies and system improvements into their manufacturing processes. This case study documents the activities, savings, and lessons learned on the Bodine Electric motor assembly plant project.

  9. Precision Measurement of Neutrino Oscillation Parameters with KamLAND

    E-Print Network [OSTI]

    ODonnell, Thomas Michael

    2011-01-01

    resolution parameters. . . . . . Best-fit energy resolutionBest-fit energy scale parameters . . . . . . . . DescriptionTable 4.3: Best-fit energy resolution parameters (Equation

  10. Inverse Modeling of Hydrologic Parameters Using Surface Flux...

    Office of Scientific and Technical Information (OSTI)

    estimated include surface and subsurface runoff generation parameters and vadose zone soil water parameters. We find that using model parameters calibrated by the least-square...

  11. NUCLEAR PLANT OPERATIONS AND

    E-Print Network [OSTI]

    Pázsit, Imre

    NUCLEAR PLANT OPERATIONS AND CONTROL KEYWORDS: neutron flux, cur- rent noise, vibration diagnostics, localization algorithm LOCALIZATION OF A VIBRATING CONTROL ROD PIN IN PRESSURIZED WATER REACTORS USING. The possibility of the localization of a vibrating control rod pin in a pressurized water reactor control assembly

  12. Mechanisms in Plant Development

    SciTech Connect (OSTI)

    Hake, Sarah

    2013-08-21

    This meeting has been held every other year for the past twenty-two years and is the only regularly held meeting focused specifically on plant development. Topics covered included: patterning in developing tissues; short and long distance signaling; differentiation of cell types; the role of epigenetics in development; evolution; growth.

  13. Quantifying the parameters of successful agricultural producers 

    E-Print Network [OSTI]

    Kaase, Gregory Herman

    2006-08-16

    The primary purpose of the study was to quantify the parameters of successful agricultural producers. Through the use of the Financial and Risk Management (FARM) Assistance database, this study evaluated economic measures ...

  14. Precision Electroweak Parameters and the Higgs Mass

    E-Print Network [OSTI]

    William J. Marciano

    2000-03-17

    The status of various precisely measured electroweak parameters is reviewed. Natural relations among them are shown to constrain the Higgs mass, m_H, via quantum loop effects to relatively low values. A comparison with direct Higgs searches is made.

  15. Lensed CMB simulation and parameter estimation

    E-Print Network [OSTI]

    Antony Lewis

    2010-11-16

    Modelling of the weak lensing of the CMB will be crucial to obtain correct cosmological parameter constraints from forthcoming precision CMB anisotropy observations. The lensing affects the power spectrum as well as inducing non-Gaussianities. We discuss the simulation of full sky CMB maps in the weak lensing approximation and describe a fast numerical code. The series expansion in the deflection angle cannot be used to simulate accurate CMB maps, so a pixel remapping must be used. For parameter estimation accounting for the change in the power spectrum but assuming Gaussianity is sufficient to obtain accurate results up to Planck sensitivity using current tools. A fuller analysis may be required to obtain accurate error estimates and for more sensitive observations. We demonstrate a simple full sky simulation and subsequent parameter estimation at Planck-like sensitivity. The lensed CMB simulation and parameter estimation codes are publicly available.

  16. Integral data analysis for resonance parameters determination

    SciTech Connect (OSTI)

    Larson, N.M.; Leal, L.C.; Derrien, H.

    1997-09-01

    Neutron time-of-flight experiments have long been used to determine resonance parameters. Those resonance parameters have then been used in calculations of integral quantities such as Maxwellian averages or resonance integrals, and results of those calculations in turn have been used as a criterion for acceptability of the resonance analysis. However, the calculations were inadequate because covariances on the parameter values were not included in the calculations. In this report an effort to correct for that deficiency is documented: (1) the R-matrix analysis code SAMMY has been modified to include integral quantities of importance, (2) directly within the resonance parameter analysis, and (3) to determine the best fit to both differential (microscopic) and integral (macroscopic) data simultaneously. This modification was implemented because it is expected to have an impact on the intermediate-energy range that is important for criticality safety applications.

  17. Compressing measurements in quantum dynamic parameter estimation

    E-Print Network [OSTI]

    Magesan, Easwar

    We present methods that can provide an exponential savings in the resources required to perform dynamic parameter estimation using quantum systems. The key idea is to merge classical compressive sensing techniques with ...

  18. Learning Inverse Dynamics: a Comparison Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Bernhard Scholkopf

    E-Print Network [OSTI]

    Seeger, Matthias

    weighted projection regression (LWPR), has been the standard method as it is capable of online, real achieve a superior learning precision and can be applied for real-time control obtaining higher accuracy be considered as an inverse prob- lem, where the plant model, e.g, the dynamics model of a robot described

  19. Top 10 plant pathogenic bacteria in molecular plant pathology.

    E-Print Network [OSTI]

    2012-01-01

    Foster, G.D. (2012) The top 10 fungal pathogens in molecularBLACKWELL PUBLISHING LTD Top 10 plant pathogenic bacteriaC. and Foster, G.D. (2011) Top 10 plant viruses in molecular

  20. Robotics for Learning

    E-Print Network [OSTI]

    Toh, Dennis; Lim, Matthew; Wee, Loo Kang; Ong, Matthew

    2015-01-01

    Teaching Robotics is about empowering students to create and configure robotics devices and program computers to nurture in students the skill sets necessary to play an active role in society. The robot in Figure 1 focuses on the design of scaffolds and physical assembly methods, coupled with a computer logic program to make that makes it move or behave in a very precise (remote controlled or autonomous) manner. This enables students to investigate, explore and refine the program to affect the robots. The Robotics approach takes into account the increasing popularity of Computer Science and the learning by doing (Schank, Berman, & Macpherson, 1999) approach to solve complex problems and use computers meaningfully in learning (Barron & Darling-Hammond, 2008; Jonassen, Howland, Marra, & Crismond, 2008). In Singapore, teachers and students in Woodlands Ring Secondary and Rulang Primary have incorporated robotics to varying extents into formal and informal curricula. In addition, other less expensive ...

  1. Distance Learning Faculty Handbook

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    ;3. Course Delivery 3.1. Managing Multiple Sites 9 3.2. Things You Should and Should Not Do On Camera 9 3.5. Troubleshooting Technical Issues 19 4. Getting Help 4.1. Logistics and Administration 20 4.2. Course Design 20 4.3. Technical Support 20 5. Faculty Resources 5.1. Institute for Teaching and Learning 21 5.1.1. IDD

  2. System Definition and Analysis: Power Plant Design and Layout

    SciTech Connect (OSTI)

    1996-05-01

    This is the Topical report for Task 6.0, Phase 2 of the Advanced Turbine Systems (ATS) Program. The report describes work by Westinghouse and the subcontractor, Gilbert/Commonwealth, in the fulfillment of completing Task 6.0. A conceptual design for critical and noncritical components of the gas fired combustion turbine system was completed. The conceptual design included specifications for the flange to flange gas turbine, power plant components, and balance of plant equipment. The ATS engine used in the conceptual design is an advanced 300 MW class combustion turbine incorporating many design features and technologies required to achieve ATS Program goals. Design features of power plant equipment and balance of plant equipment are described. Performance parameters for these components are explained. A site arrangement and electrical single line diagrams were drafted for the conceptual plant. ATS advanced features include design refinements in the compressor, inlet casing and scroll, combustion system, airfoil cooling, secondary flow systems, rotor and exhaust diffuser. These improved features, integrated with prudent selection of power plant and balance of plant equipment, have provided the conceptual design of a system that meets or exceeds ATS program emissions, performance, reliability-availability-maintainability, and cost goals.

  3. Nucleus Implant Parameters Significantly Change the Compressive

    E-Print Network [OSTI]

    Karduna, Andrew

    stiffness of the denucleated intervertebral disc IVD when im- planted in the created nuclear defect into the custom made molds of three different diameters D1=15 mm, D2=16 mm, and D3=17 mm to achieve variation in the hydrogel implant diameter. The filled molds were gelled by six repeated cycles of freezing for 21 h at -19

  4. Production of virus resistant plants

    DOE Patents [OSTI]

    Dougherty, William G. (Philomath, OR); Lindbo, John A. (Kent, WA)

    1996-01-01

    A method of suppressing virus gene expression in plants using untranslatable plus sense RNA is disclosed. The method is useful for the production of plants that are resistant to virus infection.

  5. Louisiana Nuclear Profile - Power Plants

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

    Louisiana nuclear power plants, summer capacity and net generation, 2010" "Plant NameTotal Reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  6. Production of virus resistant plants

    DOE Patents [OSTI]

    Dougherty, W.G.; Lindbo, J.A.

    1996-12-10

    A method of suppressing virus gene expression in plants using untranslatable plus sense RNA is disclosed. The method is useful for the production of plants that are resistant to virus infection. 9 figs.

  7. Gene encoding plant asparagine synthetase

    DOE Patents [OSTI]

    Coruzzi, Gloria M. (New York, NY); Tsai, Fong-Ying (New York, NY)

    1993-10-26

    The identification and cloning of the gene(s) for plant asparagine synthetase (AS), an important enzyme involved in the formation of asparagine, a major nitrogen transport compound of higher plants is described. Expression vectors constructed with the AS coding sequence may be utilized to produce plant AS; to engineer herbicide resistant plants, salt/drought tolerant plants or pathogen resistant plants; as a dominant selectable marker; or to select for novel herbicides or compounds useful as agents that synchronize plant cells in culture. The promoter for plant AS, which directs high levels of gene expression and is induced in an organ specific manner and by darkness, is also described. The AS promoter may be used to direct the expression of heterologous coding sequences in appropriate hosts.

  8. Getting Inside Plants | Jefferson Lab

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

    ability to use additional CO2, how plants pass on additional CO2 to bacteria in the soil (carbon sequestration), and in what ways potential biofuel-producing plants can be...

  9. EARLY ENTRANCE COPRODUCTION PLANT

    SciTech Connect (OSTI)

    Abdalla H. Ali; John H. Anderson; Earl R. Berry; Charles H. Schrader; Lalit S. Shah

    2003-04-16

    The overall objective of this project is the three phase development of an Early Entrance Coproduction Plant (EECP) which produces at least one product from at least two of the following three categories: (1) electric power (or heat), (2) fuels, and (3) chemicals using ChevronTexaco's proprietary gasification technology. The objective of Phase I is to determine the feasibility and define the concept for the EECP located at a specific site; develop a Research, Development, and Testing (RD&T) Plan to mitigate technical risks and barriers; and prepare a Preliminary Project Financing Plan. The objective of Phase II is to implement the work as outlined in the Phase I RD&T Plan to enhance the development and commercial acceptance of coproduction technology. The objective of Phase III is to develop an engineering design package and a financing and testing plan for an EECP located at a specific site. The project's intended result is to provide the necessary technical, economic, and environmental information needed by industry to move the EECP forward to detailed design, construction, and operation. The partners in this project are TES (a subsidiary of ChevronTexaco), General Electric (GE), Praxair, and Kellogg Brown & Root (KBR) in addition to the U.S. Department of Energy (DOE). TES is providing gasification technology and Fischer-Tropsch (F-T) technology developed by Rentech, GE is providing combustion turbine technology, Praxair is providing air separation technology, and KBR is providing engineering. Each of the EECP subsystems were assessed for technical risks and barriers. A plan was identified to mitigate the identified risks (Phase II RD&T Plan, October 2000). The RD&T Plan identified petroleum coke characteristics as a potential technical risk. The composition of petroleum coke varies from one refinery to another. Petroleum coke characteristics are a function of the crude oil slate available at the refinery and the coker operating parameters. The specific petroleum coke characteristics at a refinery affect the design of the Gasification and Acid Gas Removal (AGR) subsystems. Knowing the petroleum coke composition provides the necessary data to proceed to the EECP Phase III engineering design of the gasification process. Based on ChevronTexaco's experience, the EECP team ranked the technical, economic, and overall risks of the petroleum coke composition related to the gasification subsystem as low. In Phase I of the EECP Project, the Motiva Port Arthur Refinery had been identified as the potential EECP site. As a result of the merger between Texaco and Chevron in October 2001, Texaco was required to sell its interest in the Motiva Enterprises LLC joint venture to Shell Oil Company and Saudi Refining Inc. To assess the possible impact of moving the proposed EECP host site to a ChevronTexaco refinery, samples of petroleum coke from two ChevronTexaco refineries were sent to MTC for bench-scale testing. The results of the analysis of these samples were compared to the Phase I EECP Gasification Design Basis developed for Motiva's Port Arthur Refinery. The analysis confirms that if the proposed EECP is moved to a new refinery site, the Phase I EECP Gasification Design Basis would have to be updated. The lower sulfur content of the two samples from the ChevronTexaco refineries indicates that if one of these sites were selected, the Sulfur Recovery Unit (SRU) might be sized smaller than the current EECP design. This would reduce the capital expense of the SRU. Additionally, both ChevronTexaco samples have a higher hydrogen to carbon monoxide ratio than the Motiva Port Arthur petroleum coke. The higher hydrogen to carbon monoxide ratio could give a slightly higher F-T products yield from the F-T Synthesis Reactor. However, the EECP Gasification Design Basis can not be updated until the site for the proposed EECP site is finalized. Until the site is finalized, the feedstock (petroleum coke) characteristics are a low risk to the EECP project.

  10. Independent Oversight Evaluation, Pantex Plant - November 2000...

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

    Evaluation, Pantex Plant - November 2000 Independent Oversight Evaluation, Pantex Plant - November 2000 November 2000 Evaluation of the Pantex Plant Emergency Response Exercise...

  11. Fate of Radionuclides in Wastewater Treatment Plants

    E-Print Network [OSTI]

    Shabani Samgh Abadi, Farzaneh

    2013-01-01

    21 3. NUCLEAR POWER PLANTS……………………………………………….. 23 3.1-25 3.2- WASTES FROM NUCLEAR POWER PLANTS………………………… 28 4.radionuclides 3. Nuclear Power Plants, which includes some

  12. Fate of Radionuclides in Wastewater Treatment Plants

    E-Print Network [OSTI]

    Shabani Samgh Abadi, Farzaneh

    2013-01-01

    concerns about nuclear power plants safety after the Threedoubts regarding nuclear power plants safety. 3.1- Nuclearof nuclear power plants in order to meet safety requirements

  13. Bayesian Inference for Time Trends in Parameter Values using Weighted Evidence Sets

    SciTech Connect (OSTI)

    D. L. Kelly; A. Malkhasyan

    2010-09-01

    There is a nearly ubiquitous assumption in PSA that parameter values are at least piecewise-constant in time. As a result, Bayesian inference tends to incorporate many years of plant operation, over which there have been significant changes in plant operational and maintenance practices, plant management, etc. These changes can cause significant changes in parameter values over time; however, failure to perform Bayesian inference in the proper time-dependent framework can mask these changes. Failure to question the assumption of constant parameter values, and failure to perform Bayesian inference in the proper time-dependent framework were noted as important issues in NUREG/CR-6813, performed for the U. S. Nuclear Regulatory Commission’s Advisory Committee on Reactor Safeguards in 2003. That report noted that “in-dustry lacks tools to perform time-trend analysis with Bayesian updating.” This paper describes an applica-tion of time-dependent Bayesian inference methods developed for the European Commission Ageing PSA Network. These methods utilize open-source software, implementing Markov chain Monte Carlo sampling. The paper also illustrates an approach to incorporating multiple sources of data via applicability weighting factors that address differences in key influences, such as vendor, component boundaries, conditions of the operating environment, etc.

  14. (Carbon isotope fractionation in plants): Annual technical progress report

    SciTech Connect (OSTI)

    O'Leary, M.H.

    1988-01-01

    Plants fractionate carbon isotopes during photosynthesis in ways which reflect photosynthetic pathway and environment. The fractionation is product of contributions from diffusion, carboxylation and other factors which can be understood using models which have been developed in our work. The object of our work is to use this fractionation to learn about the factors which control the efficiency of photosynthesis. Unlike previous studies, we do not rely principally on combustion methods, but instead develop more specific methods with substantially higher resolving power. We have recently developed a new short-term method for studying carbon isotope fractionation which promises to provide a level of detail about temperature, species, and light intensity effects on photosynthesis which has not been available until now. We are studying the isotopic compositions of metabolites (particularly aspartic acid) in C/sub 3/ plants in order to determine the role of phosphoenolpyruvate carboxylase in C/sub 3/ photosynthesis. We are studying the relative roles of diffusion and carboxylation in nocturnal CO/sub 2/ fixation in CAM plants. We are studying the use of isotopic content as an index of water-use efficiency in C/sub 3/ plants. We are developing new methods for studying carbon metabolism in plants. 3 refs

  15. US prep plant census 2008

    SciTech Connect (OSTI)

    Fiscor, S.

    2008-10-15

    Each year Coal Age conducts a fairly comprehensive survey of the industry to produce the US coal preparation plant survey. This year's survey shows how many mergers and acquisitions have given coal operators more coal washing capacity. The plants are tabulated by state, giving basic details including company owner, plant name, raw feed, product ash %, quality, type of plant builder and year built. 1 tab., 1 photo.

  16. Machine LearningMachine Learning SrihariSrihari Linear Dynamical Systems

    E-Print Network [OSTI]

    Machine LearningMachine Learning SrihariSrihari Linear Dynamical Systems Sargur N. Srihari srihari@cedar.buffalo.edu Machine Learning Course: http://www.cedar.buffalo.edu/~srihari/CSE574/index.html #12;Machine LearningMachine;Machine LearningMachine Learning SrihariSrihari Motivation · Simple problem in practical settings

  17. Nuclear power plant control room operator control and monitoring tasks

    SciTech Connect (OSTI)

    Bovell, C.R.; Beck, M.G. [Concord Associates, Inc., Knoxville, TN (United States); Carter, R.J. [Oak Ridge National Labs., TN (United States)

    1998-07-01

    Oak Ridge National Laboratory is conducting a research project the purpose of which is to develop the technical bases for regulatory review criteria for use in evaluating the safety implications of human factors associated with the use of artificial intelligence and expert systems, and with advanced instrumentation and control (I and C) systems in nuclear power plants (NPP). This report documents the results from Task 8 of that project. The primary objectives of the task was to identify the scope and type of control and monitoring tasks now performed by control-room operators. Another purpose was to address the types of controls and safety systems needed to operate the nuclear plant. The final objective of Task 8 was to identify and categorize the type of information and displays/indicators required to monitor the performance of the control and safety systems. This report also discusses state-of-the-art controls and advanced display devices which will be available for use in control-room retrofits and in control room of future plants. The fundamental types of control and monitoring tasks currently conducted by operators can be divided into four classifications: function monitoring tasks, control manipulation tasks, fault diagnostic tasks, and administrative tasks. There are three general types of controls used in today`s NPPs, switches, pushbuttons, and analog controllers. Plant I and C systems include components to achieve a number of safety-related functions: measuring critical plant parameters, controlling critical plant parameters within safety limits, and automatically actuating protective devices if safe limits are exceeded. The types of information monitored by the control-room operators consist of the following parameters: pressure, fluid flow and level, neutron flux, temperature, component status, water chemistry, electrical, and process and area radiation. The basic types of monitoring devices common to nearly all NPP control rooms include: analog meters, graphic recorders, digital displays and counters, light indicators, visual and audio alarms, and cathode-ray tubes.

  18. Regulating nutrient allocation in plants

    DOE Patents [OSTI]

    Udvardi, Michael; Yang, Jiading; Worley, Eric

    2014-12-09

    The invention provides coding and promoter sequences for a VS-1 and AP-2 gene, which affects the developmental process of senescence in plants. Vectors, transgenic plants, seeds, and host cells comprising heterologous VS-1 and AP-2 genes are also provided. Additionally provided are methods of altering nutrient allocation and composition in a plant using the VS-1 and AP-2 genes.

  19. Plant Microbiology Lab SYLLABUS 2014

    E-Print Network [OSTI]

    Brown, Sally

    of beneficial microorganisms on plants. Assays will include colonization of the plants, N stress alleviation for sequencing Mon Mar 3 Measure seedlings (5 wk data). Other plant phys expts? Early in the week: your sequencing results will be emailed to you Fri Mar 7 Lab write-up #2 on Strai

  20. North City Water Reclamation Plant

    E-Print Network [OSTI]

    Prevedouros, Panos D.

    -Site Cogeneration Methane Power Plant Methane piped in from: Miramar LandfillMiramar Landfill Metropolitan BiosolidsNorth City Water Reclamation Plant Maja Caroee Diana Lee Niko Salvador #12;What is Water% for plant operation 25% sold to local power grid #12;Technical Issues & Innovations COMNET Clean water

  1. Lessons Learned | Department of Energy

    Energy Savers [EERE]

    Articles: NQA-1 Light Coherent Linac Source National Ignition Facility Spallation Neutron Source National Ignition Facility Other Helpful Links DOE Corporate Lessons Learned...

  2. Learning Tiny Theories Tim Menzies

    E-Print Network [OSTI]

    Menzies, Tim

    Learning Tiny Theories Tim Menzies , Rajesh Gunnalan , Kalaivani Appukutty , Amarnath Srinivasan Engineering, University of British Columbia, Canada {gunnalan|avani|amarnath}@csee

  3. Inhomogeneity-induced variance of cosmological parameters

    E-Print Network [OSTI]

    Alexander Wiegand; Dominik J. Schwarz

    2012-02-18

    Modern cosmology relies on the assumption of large-scale isotropy and homogeneity of the Universe. However, locally the Universe is inhomogeneous and anisotropic. So, how can local measurements (at the 100 Mpc scale) be used to determine global cosmological parameters (defined at the 10 Gpc scale)? We use Buchert's averaging formalism and determine a set of locally averaged cosmological parameters in the context of the flat Lambda cold dark matter model. We calculate their ensemble means (i.e. their global values) and variances (i.e. their cosmic variances). We apply our results to typical survey geometries and focus on the study of the effects of local fluctuations of the curvature parameter. By this means we show, that in the linear regime cosmological backreaction and averaging can be reformulated as the issue of cosmic variance. The cosmic variance is found largest for the curvature parameter and discuss some of its consequences. We further propose to use the observed variance of cosmological parameters to measure the growth factor. [abbreviated

  4. Integrated turbomachine oxygen plant

    SciTech Connect (OSTI)

    Anand, Ashok Kumar; DePuy, Richard Anthony; Muthaiah, Veerappan

    2014-06-17

    An integrated turbomachine oxygen plant includes a turbomachine and an air separation unit. One or more compressor pathways flow compressed air from a compressor through one or more of a combustor and a turbine expander to cool the combustor and/or the turbine expander. An air separation unit is operably connected to the one or more compressor pathways and is configured to separate the compressed air into oxygen and oxygen-depleted air. A method of air separation in an integrated turbomachine oxygen plant includes compressing a flow of air in a compressor of a turbomachine. The compressed flow of air is flowed through one or more of a combustor and a turbine expander of the turbomachine to cool the combustor and/or the turbine expander. The compressed flow of air is directed to an air separation unit and is separated into oxygen and oxygen-depleted air.

  5. Grasses and Forage Plants

    E-Print Network [OSTI]

    Pittuck, B. C.

    1898-01-01

    State. A large number of the grasses, including many of the common culti? vated clovers and legumes, and many rare hay plants, on our experi? mental plots during 1897, were gathered and supplied by special agents of the United States Agricultural...), Trifolium hybridum (Alsike Clover), Large Red Clover, Trifolium repens (White Dutch Clover), suffered from the drouth and sun, but have made better growth at this place than during previous years. SPOROBOLUS. 8. wrighti*?Perennial. Germinated April 2...

  6. Mobile Learning Environment System (MLES): The Case of Android-based Learning Application on Undergraduates' Learning

    E-Print Network [OSTI]

    Hanafi, Hafizul Fahri

    2012-01-01

    Of late, mobile technology has introduced new, novel environment that can be capitalized to further enrich the teaching and learning process in classrooms. Taking cognizance of this promising setting, a study was undertaken to investigate the impact of such an environment enabled by android platform on the learning process among undergraduates of Sultan Idris Education University, Malaysia; in particular, this paper discusses critical aspects of the design and implementation of the android learning system. Data were collected through a survey involving 56 respondents, and these data were analyzed by using SPSS 12.0. Findings showed that the respondents were very receptive to the interactivity, accessibility, and convenience of the system, but they were quite frustrated with the occasional interruptions due to internet connectivity problems. Overall, the mobile learning system can be utilized as an inexpensive but potent learning tool that complements undergraduates' learning process.

  7. Beyond six parameters: extending $\\Lambda$CDM

    E-Print Network [OSTI]

    Di Valentino, Eleonora; Silk, Joseph

    2015-01-01

    Cosmological constraints are usually derived under the assumption of a $6$ parameters $\\Lambda$-CDM theoretical framework or simple one-parameter extensions. In this paper we present, for the first time, cosmological constraints in a significantly extended scenario, varying up to $12$ cosmological parameters simultaneously, including the sum of neutrino masses, the neutrino effective number, the dark energy equation of state, the gravitational waves background and the running of the spectral index of primordial perturbations. Using the latest Planck 2015 data release (with polarization) we found no significant indication for extensions to the standard $\\Lambda$-CDM scenario, with the notable exception of the angular power spectrum lensing amplitude, $A_{\\rm lens}$ that is larger than the expected value at more than two standard deviations even when combining the Planck data with BAO and supernovae type Ia external datasets. In our extended cosmological framework, we find that a combined Planck+BAO analysis co...

  8. Earth Similarity Index with two free parameters

    E-Print Network [OSTI]

    Chandra, Suresh; Sharma, Mohit K

    2015-01-01

    We have derived Earth Similarity Index (ESI) with two free parameters m and T. These free parameters are optimized with the consideration that the planet Mars is almost similar to the Earth. For the optimized values of free parameters, the interior-ESI, surface-ESI and ESI for some planets are calculated. The results for m = 0.8 and T = 0.8 are compared with the values obtained by Schulze-Makuch {\\it et al.} (2011). We have found that the exoplanet 55 Cnc f is within 10% away from the threshold value T. The exoplanets HD 69830 c, 55 Cnc c, 55 Cnc f, 61 Vir d and HIP 57050 b are found to have ESI within 10% from the threshold value.

  9. Lessons Learned Quarterly Report, June 2004

    Broader source: Energy.gov [DOE]

    Welcome to the 39th quarterly report on lessons learned in the NEPA process. In this issue we are continuing a multi-part examination of lessons learned from Lessons Learned.

  10. Scaling Reinforcement Learning Paradigms for Motor Control 

    E-Print Network [OSTI]

    Vijayakumar, Sethu; Peters, Jan; Schaal, Stefan

    Reinforcement learning offers a general framework to explain reward related learning in artificial and biological motor control. However, current reinforcement learning methods rarely scale to high dimensional movement systems ...

  11. Lessons Learned Quarterly Report, March 2004

    Office of Energy Efficiency and Renewable Energy (EERE)

    Welcome to the 38th quarterly report on lessons learned in the NEPA process. In this issue we are continuing a multi-part examination of lessons learned from Lessons Learned.

  12. Feedback controller parameterizations for reinforcement learning

    E-Print Network [OSTI]

    Roberts, John William

    Reinforcement Learning offers a very general framework for learning controllers, but its effectiveness is closely tied to the controller parameterization used. Especially when learning feedback controllers for weakly stable ...

  13. Try-A Global Database of Plant Traits

    SciTech Connect (OSTI)

    Thornton, Peter E [ORNL

    2011-01-01

    Plant traits the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world s 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.

  14. Time as a parameter of statistical ensemble

    E-Print Network [OSTI]

    Sergei Viznyuk

    2011-11-26

    The notion of time is derived as a parameter of statistical ensemble representing the underlying system. Varying population numbers of microstates in statistical ensemble result in different expectation values corresponding to different times. We show a single parameter which equates to the notion of time is logarithm of the total number of microstates in statistical ensemble. We discuss the implications of proposed model for some topics of modern physics: Poincar\\'e recurrence theorem vs. Second Law of Thermodynamics, matter vs. anti-matter asymmetry of the universe, expansion of the universe, Big Bang.

  15. Learning | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPLforLDRDEnergyTurbine bladesJune 22, 2015BoydLearn More

  16. Early Lessons Learned

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES Science Network Requirements Report ofEnergy andLessons Learned

  17. Pinellas Plant Environmental Baseline Report

    SciTech Connect (OSTI)

    Not Available

    1997-06-01

    The Pinellas Plant has been part of the Department of Energy`s (DOE) nuclear weapons complex since the plant opened in 1957. In March 1995, the DOE sold the Pinellas Plant to the Pinellas County Industry Council (PCIC). DOE has leased back a large portion of the plant site to facilitate transition to alternate use and safe shutdown. The current mission is to achieve a safe transition of the facility from defense production and prepare the site for alternative uses as a community resource for economic development. Toward that effort, the Pinellas Plant Environmental Baseline Report (EBR) discusses the current and past environmental conditions of the plant site. Information for the EBR is obtained from plant records. Historical process and chemical usage information for each area is reviewed during area characterizations.

  18. System Design - Lessons Learned, Generic Concepts, Characteristics...

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

    Design - Lessons Learned, Generic Concepts, Characteristics & Impacts System Design - Lessons Learned, Generic Concepts, Characteristics & Impacts Presented at the DOE-DOD...

  19. HYDROCARBONS FROM PLANTS: ANALYTICAL METHODS AND OBSERVATIONS

    E-Print Network [OSTI]

    Calvin, Melvin

    2013-01-01

    the green plant to capture and store solar energy, is Brazilsolar energy capturing machine we know, namely, the green plant,

  20. A best estimate method for the diagnosis and mitigation of multiple-failure transients in nuclear power plants 

    E-Print Network [OSTI]

    Martin, Robert Paul

    1989-01-01

    of uncertainty exists for a nuclear power plant operator during a transient situation. The expert reactor operator can respond to this information from experience, research, learning, or intuition; however, these concepts are not pro~le into a mechanistic.... These include a program for probabilistic risk assessment, '4 operauons analysis of the Savannah River reactors, ts automated monitoring of plant performance for the Oak Ridge National Laboratory High Flux Intensity Reactor, && and refuelling assistance...

  1. Front End Chicane Parameters J. Scott Berg

    E-Print Network [OSTI]

    McDonald, Kirk

    with best transmission for a given proton energy cutoff For higher proton energy cutoffs, two sets proton energy cutoffs Best cutoff will depend on downstream details Lower cutoff energy requires less parameters for high energy cutoff Not dealing with absorber for low energy protons Chicane field is 2 T Could

  2. Breaking parameter modulated chaotic secure communication system

    E-Print Network [OSTI]

    G. Alvarez; F. Montoya; M. Romera; G. Pastor

    2003-11-20

    This paper describes the security weakness of a recently proposed secure communication method based on parameter modulation of a chaotic system and adaptive observer-based synchronization scheme. We show that the security is compromised even without precise knowledge of the chaotic system used.

  3. MIXMAX random number generator. Generalised parameters

    E-Print Network [OSTI]

    Savvidy, Konstantin

    2015-01-01

    We are exploring the parameter space of the MIXMAX random number generator, which is based on Kolmogorov-Anosov C-system defined on a torus. For a two-parameter family of C-system operators A(N,s), parametrised by the integers N and s, we found new larger values of N. One can deduce from this data that the entropy and the period are sharply increasing with N. For all of these parameters, the sequence passes all tests in the BigCrush suite. For the largest of them, N=44851, the period approaches million digits. The generator with N=256 and s=487013230256099064 has the best combination of speed, reasonable size of the state and availability for implementing the parallelisation and is currently the default generator in the ROOT software package at CERN. A three-parameter generator A(N,s,m) of the MIXMX family of generators is also presented, and it provides high quality statistical properties for small values of N.

  4. Filtering and parameter estimation for electricity

    E-Print Network [OSTI]

    Fournier, John J.F.

    Filtering and parameter estimation for electricity markets by Alberto Molina-Escobar B to be particularly difficult for electricity, where markets are complex, and ex- hibit a number of unique features, mainly due to the problems involved in storing electricity. In this thesis we propose three models

  5. Socio-Economic Status "Defining" SES parameters

    E-Print Network [OSTI]

    Gabrieli, John

    Socio-Economic Status Data "Defining" SES parameters · Objective SES: · Individual and/or householdArthur Ladder) · In Community (MacArthur Ladder) · Other considerations: · Social, economic, and psychological personal evaluation be reflection of self-esteem? - Half parent/half subject reports - Evidence

  6. Adaptation, Learning, and Optimization over

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Adaptation, Learning, and Optimization over Networks Ali H. Sayed University of California at Los 2014 A. H. Sayed DOI: 10.1561/2200000051 Adaptation, Learning, and Optimization over Networks Ali H . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.6 Notation and Symbols . . . . . . . . . . . . . . . . . . . . 8 2 Optimization by Single Agents

  7. Bachelor of Teaching & Learning (Primary)

    E-Print Network [OSTI]

    Hickman, Mark

    Primary. 2015 Bachelor of Teaching & Learning (Primary) College of Education Education #12 of Teaching and Learning (Primary) Primary Teaching Primary teaching (for Years 1­8, ages 5­13) allows you to use your energy, commitment and creativity in a rewarding and satisfying career, which can make a real

  8. Kinematic Motor Learning Wolfram Schenck

    E-Print Network [OSTI]

    Moeller, Ralf

    Kinematic Motor Learning Wolfram Schenck Computer Engineering Group Faculty of Technology Bielefeld-521-106-6440 mail: wschenck@ti.uni-bielefeld.de Abstract This paper focuses on adaptive motor control in the kinematic domain. Several motor learning strategies from the literature are adopted to kinematic problems

  9. Fast learning from -mixing Observations

    E-Print Network [OSTI]

    Steinwart, Ingo

    rates for some learning methods such as empirical risk minimization (ERM), least squares support vector and quantile regression. It turns out that for i.i.d. processes our learning rates for ERM and SVMs for empirical risk minimization (ERM) when the sampling sequence satisfies an -mixing condition. More recently

  10. EDUCATION 01 THE LEARNING BRAIN

    E-Print Network [OSTI]

    1 EDUCATION 01 THE LEARNING BRAIN: INTRODUCTION TO CHILD DEVELOPEMENT AND EDUCATION FALL of the typically developing learning brain. Course Goals · Introduce the developing field of Mind, Brain is to explore the connections between brain research and education. The assignment has 3 parts. 1) Find

  11. Recovery of coal fines from preparation plant effluents

    SciTech Connect (OSTI)

    Choudhry, V. (Praxis Engineers, Inc., Milpitas, CA (USA)); Khan, L. (Illinois State Geological Survey, Champaign, IL (USA)); Yang, D. (Michigan Technological Univ., Houghton, MI (USA))

    1990-01-01

    The objectives of this project are to test and demonstrate the feasibility of recovering the coal fines which are currently disposed of with plant effluent streams in order to produce a fine clean coal product. This product can then be blended with the coarse clean coal from the preparation plant. Recovery of carbonaceous material from the effluent streams will be effected by means of Michigan Technological University's static tube flotation process in conjunction with pyrite depressants. This process has been successfully demonstrated on a number of coals to reject 85% of the pyritic sulfur and recover 90% of the Btu value. The process parameters will be modified to accept preparation plant effluents in order to produce a low-ash, low-sulfur clean coal product that at a minimum is compatible with the quality requirements of the plant clean coal. This report covers the first quarter of the project. The main activities during this period were the drafting of a project work plan and the collection of four coal preparation plant effluent samples for testing. Effluent slurry samples were collected from four operating preparation plants in Illinois and shipped to Michigan Technological University for experimental work.

  12. COURSE INFORMATION Plant Diversity and Evolution

    E-Print Network [OSTI]

    Chen, Kuang-Yu

    and experimental tools used to understand plant diversity. 4. "Vocabulary" of plant description (see list list) 7. Distinctive features of land plant diversity 8. The history of land plants through time #12COURSE INFORMATION Fall 2009 Plant Diversity and Evolution (11:704:411) and Advanced Plant

  13. Propagation of Ornamental Plants

    E-Print Network [OSTI]

    DeWerth, A. F.

    1955-01-01

    . Whenever possible, sow the seed of most After the seed have germinated, place th~ Texas ornamentals in flats or pots than container where the seedlings will get an abw directly in the open ground. dance of light. If kept in a shady location, leg...!! weak plants will result. Be sure there are cracks or holes in the bot- tom of the flat or that the hole in the bottom - Water from below whenever the soil becomP of the flower pot is kept open to allow excess water to pass quickly out of the soil...

  14. Nuclear Plant Data Bank

    SciTech Connect (OSTI)

    Booker, C.P.; Turner, M.R.; Spore, J.W.

    1986-01-01

    The Nuclear Plant Data Bank (NPDB) is being developed at the Los Alamos National Laboratory to assist analysts in the rapid and accurate creation of input decks for reactor transient analysis. The NPDB will reduce the time and cost of the creation or modification of a typical input deck. This data bank will be an invaluable tool in the timely investigation of recent and ongoing nuclear reactor safety analysis. This paper discusses the status and plans for the NPDB development and describes its anticipated structure and capabilities.

  15. Propagation of Ornamental Plants

    E-Print Network [OSTI]

    DeWerth, A. F.

    1955-01-01

    '~ihtenecl with a fine mist spray of water, since an important factor in rooting cuttings is to keep the cuttings moist. There are many advantages in the use of mist by the home gardener. A cutting continues to lose water by transpiration after... it is removed from the parent plant. It is impossible for the cuttings to take up sufficient water to replace that lost by rapid transpiration until new roots are formed. The mist system prevents ex- cessive loss of water by the cutting. Maintain- ing...

  16. Better Buildings, Better Plants:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p uBUSEnergy|| Department ofBuildings, Better Plants: AMO

  17. Gasification Plant Databases

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERALProblems I n QEstimatesPlant Databases

  18. Plants & Animals

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEYI/OPerformancePi Day Pi Day Pi Day isPlanning forPlants &

  19. Introduction Angluin's Learning Approach Learning Design Models Dedicated Tool: Smyle Conclusion Replaying Play-In Play-Out

    E-Print Network [OSTI]

    Ábrahám, Erika

    Introduction Angluin's Learning Approach Learning Design Models Dedicated Tool: Smyle Conclusion Approach Learning Design Models Dedicated Tool: Smyle Conclusion Outline 1 Introduction 2 Angluin's Learning Approach 3 Learning Design Models 4 Dedicated Tool: Smyle 5 Conclusion #12;Introduction Angluin

  20. Perspectives on plant vulnerabilities & other plant and containment improvements

    SciTech Connect (OSTI)

    LaChance, J.; Kolaczkowski, A.; Kahn, J. [and others

    1996-01-01

    The primary goal of the Individual Plant Examination (IPE) Program was for licensees to identify plant-unique vulnerabilities and actions to address these vulnerabilities. A review of these vulnerabilities and plant improvements that were identified in the IPEs was performed as part of the IPE Insights Program sponsored by the U.S. Nuclear Regulatory Commission (NRC). The purpose of this effort was to characterize the identified vulnerabilities and the impact of suggested plant improvements. No specific definition for {open_quotes}vulnerability{close_quotes} was provided in NRC Generic Letter 88-20 or in the subsequent NRC IPE submittal guidance documented in NUREG-1335. Thus licensees were left to use their own definitions. Only 20% of the plants explicitly stated that they had vulnerabilities. However, most licensees identified other plant improvements to address issues not explicitly classified as vulnerabilities, but pertaining to areas in which overall plant safety could potentially be increased. The various definitions of {open_quotes}vulnerability{close_quotes} used by the licensees, explicitly identified vulnerabilities, proposed plant improvements to address these vulnerabilities, and other plant improvements are summarized and discussed.

  1. Plant–herbivore interactions mediated by plant toxicity

    E-Print Network [OSTI]

    2008-03-25

    Dec 17, 2007 ... O. Box 249118, Coral Gables, FL 33124, United States. .... Per capital death rate of herbivore unrelated to plant toxicity. 2. Analysis of the ...

  2. The SONATRACH jumbo LPG plant

    SciTech Connect (OSTI)

    Ahmed Khodja, A.; Bennaceur, A.

    1988-01-01

    The authors aim is to give to the 17 TH world gas conference a general idea on SONATRACH LPG PLANT which is located in the ARZEW area. They develop this communication as follows: general presentation of LPG plant: During the communication, the author's will give the assistance all the information concerning the contractions the erection's date and the LPG PLANT process, start-up of the plant: In this chapter, the authors's will describe the start-up condition, the performance test result, the flexibility test result and the total mechanical achievement of the plant; operation by SONATRACH: After the success that obtained during the mechanical achievement and performance test, the contractor handed over the plant to SONATRACH.

  3. Calibrated Hydrothermal Parameters, Barrow, Alaska, 2013

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

    Atchley, Adam; Painter, Scott; Harp, Dylan; Coon, Ethan; Wilson, Cathy; Liljedahl, Anna; Romanovsky, Vladimir

    A model-observation-experiment process (ModEx) is used to generate three 1D models of characteristic micro-topographical land-formations, which are capable of simulating present active thaw layer (ALT) from current climate conditions. Each column was used in a coupled calibration to identify moss, peat and mineral soil hydrothermal properties to be used in up-scaled simulations. Observational soil temperature data from a tundra site located near Barrow, AK (Area C) is used to calibrate thermal properties of moss, peat, and sandy loam soil to be used in the multiphysics Advanced Terrestrial Simulator (ATS) models. Simulation results are a list of calibrated hydrothermal parameters for moss, peat, and mineral soil hydrothermal parameters.

  4. Dynamical Topological Order Parameters far from Equilibrium

    E-Print Network [OSTI]

    Jan Carl Budich; Markus Heyl

    2015-09-21

    We report the discovery of a novel topological quantum number, represented by a momentum space winding number of the Pancharatnam geometric phase, that is dynamically defined and can change its integer value at discrete times where so called dynamical quantum phase transitions (DQPTs) occur. By contrast, straightforward non-equilibrium generalizations of conventional topological invariants are well known to be constants of motion under coherent time evolution. DQPTs have been recently introduced as a non-equilibrium analog in quantum real-time evolution of conventional phase transitions, where increasing time replaces the notion of conventional control parameters such as temperature. Here, studying quantum quenches in two-banded Bogoliubov de Gennes models, we identify for the first time a quantity that can be seen as the dynamical analog of an order parameter which changes its topologically quantized value at DQPTs.

  5. UPRE method for total variation parameter selection

    SciTech Connect (OSTI)

    Wohlberg, Brendt [Los Alamos National Laboratory; Lin, Youzuo [Los Alamos National Laboratory

    2008-01-01

    Total Variation (TV) Regularization is an important method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is important to choose the optimal regularization parameter. The Unbiased Predictive Risk Estimator (UPRE) has been shown to give a very good estimate of this parameter for Tikhonov Regularization. In this paper we propose an approach to extend UPRE method to the TV problem. However, applying the extended UPRE is impractical in the case of inverse problems such as de blurring, due to the large scale of the associated linear problem. We also propose an approach to reducing the large scale problem to a small problem, significantly reducing computational requirements while providing a good approximation to the original problem.

  6. Parameter estimation, nonlinearity and Occam's razor

    E-Print Network [OSTI]

    Leandro M. Alonso

    2014-10-30

    Nonlinear systems are capable of displaying complex behavior even if this is the result of a small number of interacting time scales. A widely studied case is when complex dynamics emerges out of a nonlinear system being forced by a simple harmonic function. In order to identify if a recorded time series is the result of a nonlinear system responding to a simpler forcing, we develop a discrete nonlinear transformation for time series based on synchronization techniques. This allows a parameter estimation procedure which simultaneously searches for a good fit of the recorded data, and small complexity of a fluctuating driving parameter. We illustrate this procedure using data from respiratory patterns during birdsong production.

  7. Calibrated Hydrothermal Parameters, Barrow, Alaska, 2013

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

    Atchley, Adam; Painter, Scott; Harp, Dylan; Coon, Ethan; Wilson, Cathy; Liljedahl, Anna; Romanovsky, Vladimir

    2015-01-29

    A model-observation-experiment process (ModEx) is used to generate three 1D models of characteristic micro-topographical land-formations, which are capable of simulating present active thaw layer (ALT) from current climate conditions. Each column was used in a coupled calibration to identify moss, peat and mineral soil hydrothermal properties to be used in up-scaled simulations. Observational soil temperature data from a tundra site located near Barrow, AK (Area C) is used to calibrate thermal properties of moss, peat, and sandy loam soil to be used in the multiphysics Advanced Terrestrial Simulator (ATS) models. Simulation results are a list of calibrated hydrothermal parameters for moss, peat, and mineral soil hydrothermal parameters.

  8. Bayesian parameter estimation for effective field theories

    E-Print Network [OSTI]

    Wesolowski, S; Furnstahl, R J; Phillips, D R; Thapaliya, A

    2015-01-01

    We present procedures based on Bayesian statistics for effective field theory (EFT) parameter estimation from data. The extraction of low-energy constants (LECs) is guided by theoretical expectations that supplement such information in a quantifiable way through the specification of Bayesian priors. A prior for natural-sized LECs reduces the possibility of overfitting, and leads to a consistent accounting of different sources of uncertainty. A set of diagnostic tools are developed that analyze the fit and ensure that the priors do not bias the EFT parameter estimation. The procedures are illustrated using representative model problems and the extraction of LECs for the nucleon mass expansion in SU(2) chiral perturbation theory from synthetic lattice data.

  9. Surveillance of industrial processes with correlated parameters

    DOE Patents [OSTI]

    White, A.M.; Gross, K.C.; Kubic, W.L.; Wigeland, R.A.

    1996-12-17

    A system and method for surveillance of an industrial process are disclosed. The system and method includes a plurality of sensors monitoring industrial process parameters, devices to convert the sensed data to computer compatible information and a computer which executes computer software directed to analyzing the sensor data to discern statistically reliable alarm conditions. The computer software is executed to remove serial correlation information and then calculate Mahalanobis distribution data to carry out a probability ratio test to determine alarm conditions. 10 figs.

  10. Surveillance of industrial processes with correlated parameters

    DOE Patents [OSTI]

    White, Andrew M. (Skokie, IL); Gross, Kenny C. (Bolingbrook, IL); Kubic, William L. (Sante Fe, NM); Wigeland, Roald A. (Olympia Fields, IL)

    1996-01-01

    A system and method for surveillance of an industrial process. The system and method includes a plurality of sensors monitoring industrial process parameters, devices to convert the sensed data to computer compatible information and a computer which executes computer software directed to analyzing the sensor data to discern statistically reliable alarm conditions. The computer software is executed to remove serial correlation information and then calculate Mahalanobis distribution data to carry out a probability ratio test to determine alarm conditions.

  11. Towards Learning-based Sensor Management Karsten Steinhaeuser, Nitesh V. Chawla and Christian Poellabauer

    E-Print Network [OSTI]

    Chawla, Nitesh V.

    the available data and steer the progress. The two problems of communication delay and power con- sumption have problem in systems research. Existing methods perform well when optimized for a single parameter (such-of-concept that techniques and algorithms from the machine learning and data mining domains can be applied to network data

  12. Robustness of Learning That Is Based on Covariance-Driven Synaptic Plasticity

    E-Print Network [OSTI]

    Robustness of Learning That Is Based on Covariance- Driven Synaptic Plasticity Yonatan Loewenstein of synaptic plasticity rules, in which synaptic changes are driven by covariance, is particularly useful. Covariance-based plasticity is inherently sensitive. Even a slight mistuning of the parameters

  13. Plant Physiology: Manipulating Plant Growth with Solar Radiation Dennis Decoteau, Ph.D.

    E-Print Network [OSTI]

    Decoteau, Dennis R.

    Plant Physiology: Manipulating Plant Growth with Solar Radiation Dennis Decoteau, Ph.D. Department of light that surrounds the plant. Light ­ Radiant Energy All light is made up of energy. Light to plants (Villee, 1977). Plant Uses Of Radiant Energy And Plant "Vision" Plants utilize specialized pigments

  14. Wind Plant Cost of Energy: Past and Future (Presentation)

    SciTech Connect (OSTI)

    Hand, M.

    2013-03-01

    This presentation examines trends in wind plant cost of energy over the last several decades and discusses methods and examples of projections for future cost trends. First, the presentation explores cost trends for wind energy from the 1980s, where there had been an overall downward trend in wind plant energy costs. Underlying factors that influenced these trends, including turbine technology innovation for lower wind speed sites, are explored. Next, the presentation looks at projections for the future development of wind energy costs and discusses a variety of methods for establishing these projections including the use of learning curves, qualitative assessment using expert elicitation, and engineering-based analysis. A comparison of the methods is provided to explore their relative merits. Finally, a brief introduction is provided for the U.S. Department of Energy program-wide shift towards an integrative use of qualitative and quantitative methods for assessing the potential impacts of wind plant technology innovations on reducing the wind plant cost of energy.

  15. Fast cosmological parameter estimation using neural networks

    E-Print Network [OSTI]

    T. Auld; M. Bridges; M. P. Hobson; S. F. Gull

    2007-09-17

    We present a method for accelerating the calculation of CMB power spectra, matter power spectra and likelihood functions for use in cosmological parameter estimation. The algorithm, called CosmoNet, is based on training a multilayer perceptron neural network and shares all the advantages of the recently released Pico algorithm of Fendt & Wandelt, but has several additional benefits in terms of simplicity, computational speed, memory requirements and ease of training. We demonstrate the capabilities of CosmoNet by computing CMB power spectra over a box in the parameter space of flat \\Lambda CDM models containing the 3\\sigma WMAP1 confidence region. We also use CosmoNet to compute the WMAP3 likelihood for flat \\Lambda CDM models and show that marginalised posteriors on parameters derived are very similar to those obtained using CAMB and the WMAP3 code. We find that the average error in the power spectra is typically 2-3% of cosmic variance, and that CosmoNet is \\sim 7 \\times 10^4 faster than CAMB (for flat models) and \\sim 6 \\times 10^6 times faster than the official WMAP3 likelihood code. CosmoNet and an interface to CosmoMC are publically available at www.mrao.cam.ac.uk/software/cosmonet.

  16. Indicator system for a process plant control complex

    DOE Patents [OSTI]

    Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

    1993-01-01

    An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

  17. Indicator system for advanced nuclear plant control complex

    DOE Patents [OSTI]

    Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

    1993-01-01

    An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

  18. Better Buildings, Better Plants Program

    SciTech Connect (OSTI)

    2011-12-08

    The Better Buildings, Better Plants Program is part of a national leadership initiative calling on business leaders and others to create American jobs through energy efficiency.

  19. Power Plant Modeling and Simulation

    ScienceCinema (OSTI)

    None

    2010-01-08

    The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.

  20. MHD plant turn down considerations

    SciTech Connect (OSTI)

    Lineberry, J.T.; Chapman, J.N.

    1991-01-01

    The topic of part load operation of the MHD power plant is assessed. Current and future planned MHD research is reviewed in terms of addressing topping and bottoming cycle integration needs. The response of the MHD generator to turn up and down scenarios is reviewed. The concept of turning the MHD power to met changes in plant load is discussed. The need for new ideas and focused research to study MHD plant integration and problems of plant turn down and up is cited. 7 refs., 5 figs., 1 tab.

  1. Better Plants | Department of Energy

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

    Partners and welcomed more than 20 manufacturers into the program at the World Energy Engineering Congress on October 2, 2014. Read more Better Plants Program Logo Leading...

  2. Nuclear Power Plant Design Project

    E-Print Network [OSTI]

    Nuclear Power Plant Design Project A Response to the Environmental and Economic Challenge Of Global) .................................................................... 14 4.4 High Temperature Gas Reactor

  3. Power Plant Modeling and Simulation

    SciTech Connect (OSTI)

    2008-07-21

    The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.

  4. Batch-mode Supervised Learning Linear regression

    E-Print Network [OSTI]

    Wehenkel, Louis

    Batch-mode Supervised Learning Linear regression Applied inductive learning - Lecture 3 Louis (& Pierre Geurts)AIA... (1/19) #12;Batch-mode Supervised Learning Linear regression Batch-mode Supervised Learning Linear regression Least mean square error solution Regularization and algorithmics Residual

  5. Interactive Q-Learning Eric B. Laber

    E-Print Network [OSTI]

    Davidian, Marie

    . Artificial Intelligence and Reinforcement Learning (autonomous helicopter, drones, etc., Ng 2003) 2

  6. 1Building virtual learning communities and the learning of mathematics teacher student

    E-Print Network [OSTI]

    Spagnolo, Filippo

    1 1Building virtual learning communities and the learning of mathematics teacher student Salvador of learning for student teachers. Firstly, I shall describe the characteristics of the design of learning trajectories in a video-based learning environment focusing on the exploration of mathematics teaching to help

  7. Assessing Student Learning We typically assess student learning in terms of their grades on

    E-Print Network [OSTI]

    Champagne, Frances A.

    need to be student-focused rather than instructor-focused. Focus on the learning resulting fromAssessing Student Learning We typically assess student learning in terms of their grades on quizzes should be linked to our learning objectives. To properly assess student learning, you need to know what

  8. E ective Neuronal Learning with Ine ective Hebbian Learning Rules

    E-Print Network [OSTI]

    Chechik, Gal

    ; Palm & Sommer, 1996) derived the learn- ing rule that maximizes the network memory capacity, and showed of papers (Palm & Sommer, 1988; Palm, 1992; Palm & Sommer, 1996), Palm and Sommer have further studied

  9. Effective Neuronal Learning with Ineffective Hebbian Learning Rules

    E-Print Network [OSTI]

    Chechik, Gal

    ; Palm & Sommer, 1996) derived the learn- ing rule that maximizes the network memory capacity, and showed of papers (Palm & Sommer, 1988; Palm, 1992; Palm & Sommer, 1996), Palm and Sommer have further studied

  10. Plant Molecular Biology 2008 Gordon Research Conference - July 13-18, 2008

    SciTech Connect (OSTI)

    Richard M. Amasino

    2009-08-28

    The Plant Molecular Biology Conference has traditionally covered a breadth of exciting topics and the 2008 conference will continue in that tradition. There will be sessions on metabolism; new methods to study genomes, proteomes and metabolomes; plant-microbe interactions; plant hormones; epigenetics. A new topic for the conference this year will be bioenergy. Thus this conference will bring together a range of disciplines to foster the exchange ideas and to permit the participants to learn of the latest developments and ideas in diverse areas of plant biology. The conference provides an excellent opportunity for individuals to discuss their research because additional speakers in each session will be selected from submitted abstracts. There will also be a poster session each day for a two-hour period prior to dinner.

  11. Planting and Mulching Trees and Shrubs Selecting healthy plants

    E-Print Network [OSTI]

    New Hampshire, University of

    Planting and Mulching Trees and Shrubs Selecting healthy plants Take a step back to examine swollen nodules at the container edge, rather than circling like in a plastic container. The nodules store with soil or mulch ­ ignore these and find the first permanent woody root growing radially out from

  12. Ownership Change, Incentives and Plant Efficiency: The Divestiture of U.S. Electric Generation Plants

    E-Print Network [OSTI]

    Bushnell, James B.; Wolfram, Catherine

    2005-01-01

    ciency of Electric Generating Plants: A Stochastic Frontierthe existing stock of electricity generating plants. Betweenover 300 electric generating plants in the US, accounting

  13. Master Plant List for Texas Range and Pasture Plant Identification Contests 

    E-Print Network [OSTI]

    Ragsdale, Bobby

    2000-05-03

    Entrants in range and pasture plant identification contests will find this reference useful. It includes explanations of plant characteristics and a master list of plants....

  14. Next Generation Geothermal Power Plants

    SciTech Connect (OSTI)

    Brugman, John; Hattar, Mai; Nichols, Kenneth; Esaki, Yuri

    1995-09-01

    A number of current and prospective power plant concepts were investigated to evaluate their potential to serve as the basis of the next generation geothermal power plant (NGGPP). The NGGPP has been envisaged as a power plant that would be more cost competitive (than current geothermal power plants) with fossil fuel power plants, would efficiently use resources and mitigate the risk of reservoir under-performance, and minimize or eliminate emission of pollutants and consumption of surface and ground water. Power plant concepts were analyzed using resource characteristics at ten different geothermal sites located in the western United States. Concepts were developed into viable power plant processes, capital costs were estimated and levelized busbar costs determined. Thus, the study results should be considered as useful indicators of the commercial viability of the various power plants concepts that were investigated. Broadly, the different power plant concepts that were analyzed in this study fall into the following categories: commercial binary and flash plants, advanced binary plants, advanced flash plants, flash/binary hybrid plants, and fossil/geothed hybrid plants. Commercial binary plants were evaluated using commercial isobutane as a working fluid; both air-cooling and water-cooling were considered. Advanced binary concepts included cycles using synchronous turbine-generators, cycles with metastable expansion, and cycles utilizing mixtures as working fluids. Dual flash steam plants were used as the model for the commercial flash cycle. The following advanced flash concepts were examined: dual flash with rotary separator turbine, dual flash with steam reheater, dual flash with hot water turbine, and subatmospheric flash. Both dual flash and binary cycles were combined with other cycles to develop a number of hybrid cycles: dual flash binary bottoming cycle, dual flash backpressure turbine binary cycle, dual flash gas turbine cycle, and binary gas turbine cycle. Results of this study indicate that dual flash type plants are preferred at resources with temperatures above 400 F. Closed loop (binary type) plants are preferred at resources with temperatures below 400 F. A rotary separator turbine upstream of a dual flash plant can be beneficial at Salton Sea, the hottest resource, or at high temperature resources where there is a significant variance in wellhead pressures from well to well. Full scale demonstration is required to verify cost and performance. Hot water turbines that recover energy from the spent brine in a dual flash cycle improve that cycle's brine efficiency. Prototype field tests of this technology have established its technical feasibility. If natural gas prices remain low, a combustion turbine/binary hybrid is an economic option for the lowest temperature sites. The use of mixed fluids appear to be an attractive low risk option. The synchronous turbine option as prepared by Barber-Nichols is attractive but requires a pilot test to prove cost and performance. Dual flash binary bottoming cycles appear promising provided that scaling of the brine/working fluid exchangers is controllable. Metastable expansion, reheater, Subatmospheric flash, dual flash backpressure turbine, and hot dry rock concepts do not seem to offer any cost advantage over the baseline technologies. If implemented, the next generation geothermal power plant concept may improve brine utilization but is unlikely to reduce the cost of power generation by much more than 10%. Colder resources will benefit more from the development of a next generation geothermal power plant than will hotter resources. All values presented in this study for plant cost and for busbar cost of power are relative numbers intended to allow an objective and meaningful comparison of technologies. The goal of this study is to assess various technologies on an common basis and, secondarily, to give an approximate idea of the current costs of the technologies at actual resource sites. Absolute costs at a given site will be determined by the specifics of a given pr

  15. The Efficacy of Galaxy Shape Parameters in Photometric Redshift...

    Office of Scientific and Technical Information (OSTI)

    of these parameters may result in a trade-off between extra information and additional noise, with the additional noise becoming more dominant as more parameters are added....

  16. Critical Performance and Durability Parameters of an Integrated...

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

    and Durability Parameters of an Integrated Aftertreatment System used to Meet Tier II Emission Standards Critical Performance and Durability Parameters of an Integrated...

  17. Derivative-free optimization for parameter estimation in computational...

    Office of Scientific and Technical Information (OSTI)

    Derivative-free optimization for parameter estimation in computational nuclear physics Citation Details In-Document Search Title: Derivative-free optimization for parameter...

  18. Study of Engine Operating Parameter Effects on GDI Engine Particle...

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

    Study of Engine Operating Parameter Effects on GDI Engine Particle-Number Emissions Study of Engine Operating Parameter Effects on GDI Engine Particle-Number Emissions Results show...

  19. Become part of the William and Mary community! New employees are encouraged to tackle learning about the College...one day at a time. Here's a list of things you can do to learn a little bit more about

    E-Print Network [OSTI]

    Lewis, Robert Michael

    about the College...one day at a time. Here's a list of things you can do to learn a little bit more" list below. You'll be surprised at how quickly you feel like you are no longer a newcomer but a full species and varieties of woody plants can be found on campus? Pick a beautiful day and walk the campus

  20. Directional learning and the provisioning of public goods

    E-Print Network [OSTI]

    Nax, Heinrich H

    2015-01-01

    We consider an environment where players are involved in a public goods game and must decide repeatedly whether to make an individual contribution or not. However, players lack strategically relevant information about the game and about the other players in the population. The resulting behavior of players is completely uncoupled from such information, and the individual strategy adjustment dynamics are driven only by reinforcement feedbacks from each player's own past. We show that the resulting "directional learning" is sufficient to explain cooperative deviations away from the Nash equilibrium. We introduce the concept of k-strong equilibria, which nest both the Nash equilibrium and the Aumann-strong equilibrium as two special cases, and we show that, together with the parameters of the learning model, the maximal k-strength of equilibrium determines the stationary distribution. The provisioning of public goods can be secured even under adverse conditions, as long as players are sufficiently responsive to ...

  1. Enhancing the Engineering Curriculum: Defining Discovery Learning at Marquette University

    E-Print Network [OSTI]

    Nagurka, Mark L.

    learning is a form of student-centered learning in which the focus shifts from the teacher to the learn, student-centered learning, active learning. I. INTRODUCTION The College of Engineering at Marquette forms of experiential learning. Other schools include student-centered learning methods, such as active

  2. Learning from Roman Seawater Concrete

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

    12.3.2. Environmentally friendly modern concretes already include volcanic ash or fly ash from coal-burning power plants as partial substitutes for Portland cement, with...

  3. Assessment of LWR piping design loading based on plant operating experience

    SciTech Connect (OSTI)

    Svensson, P. O.

    1980-08-01

    The objective of this study has been to: (1) identify current Light Water Reactor (LWR) piping design load parameters, (2) identify significant actual LWR piping loads from plant operating experience, (3) perform a comparison of these two sets of data and determine the significance of any differences, and (4) make an evaluation of the load representation in current LWR piping design practice, in view of plant operating experience with respect to piping behavior and response to loading.

  4. Learning task-specific similarity

    E-Print Network [OSTI]

    Shakhnarovich, Gregory

    2006-01-01

    The right measure of similarity between examples is important in many areas of computer science. In particular it is a critical component in example-based learning methods. Similarity is commonly defined in terms of a ...

  5. Learning in the labor market

    E-Print Network [OSTI]

    Li, Jin, Ph. D. Massachusetts Institute of Technology

    2007-01-01

    This thesis is a collection of three independent essays that study the implication of learning on labor mobility, labor supply, wage distribution, wage dynamics, and allocations of workers under different assumptions about ...

  6. Project PROCEED and Continuous Learning 

    E-Print Network [OSTI]

    Cohen, K. C.

    1982-01-01

    The concept of learning as a continuous activity, meshing appropriately with one's work environment around real on-the-job problem-solving needs, is gaining increasing popularity. Project PROCEED (Program for Continuing ...

  7. SPANISH STUDIES Program Learning Outcomes

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    SPANISH STUDIES Program Learning Outcomes 1. Students will achieve advanced language proficiency in Spanish: they will have the ability to narrate language and literacy skills in Spanish: Students will acquire a foundation

  8. DOE Online Learning Center (OLC)

    Broader source: Energy.gov [DOE]

    DOE Online Learning Center offers SkillSoft online courses that can lead to business, desktop and IT professional certifications. The online classes can be accessed 365 days a year from any desktop and are completed at your own pace

  9. Marquette University Learning Assessment Plan

    E-Print Network [OSTI]

    Reid, Scott A.

    (analytical, inorganic, organic, and physical chemistry). Grades in three of the designated core courses (CHEMMarquette University Learning Assessment Plan Chemistry Program: Chemistry Degree: M.S. Date to a scientific audience. Present chemistry research accurately Utilize appropriate presentation graphics; Answer

  10. Bias-limited extraction of cosmological parameters

    SciTech Connect (OSTI)

    Shimon, Meir; Itzhaki, Nissan; Rephaeli, Yoel, E-mail: meirs@wise.tau.ac.il, E-mail: nitzhaki@post.tau.ac.il, E-mail: yoelr@wise.tau.ac.il [School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978 (Israel)

    2013-03-01

    It is known that modeling uncertainties and astrophysical foregrounds can potentially introduce appreciable bias in the deduced values of cosmological parameters. While it is commonly assumed that these uncertainties will be accounted for to a sufficient level of precision, the level of bias has not been properly quantified in most cases of interest. We show that the requirement that the bias in derived values of cosmological parameters does not surpass nominal statistical error, translates into a maximal level of overall error O(N{sup ?½}) on |?P(k)|/P(k) and |?C{sub l}|/C{sub l}, where P(k), C{sub l}, and N are the matter power spectrum, angular power spectrum, and number of (independent Fourier) modes at a given scale l or k probed by the cosmological survey, respectively. This required level has important consequences on the precision with which cosmological parameters are hoped to be determined by future surveys: in virtually all ongoing and near future surveys N typically falls in the range 10{sup 6}?10{sup 9}, implying that the required overall theoretical modeling and numerical precision is already very high. Future redshifted-21-cm observations, projected to sample ? 10{sup 14} modes, will require knowledge of the matter power spectrum to a fantastic 10{sup ?7} precision level. We conclude that realizing the expected potential of future cosmological surveys, which aim at detecting 10{sup 6}?10{sup 14} modes, sets the formidable challenge of reducing the overall level of uncertainty to 10{sup ?3}?10{sup ?7}.

  11. The Development of a Human Systems Simulation Laboratory at Idaho National Laoboratory: Progress, Requirements and Lessons Learned

    SciTech Connect (OSTI)

    David I Gertman; Katya L. LeBlanc; William phoenix; Alan R Mecham

    2010-11-01

    Next generation nuclear power plants and digital upgrades to the existing nuclear fleet introduce potential human performance issues in the control room. Safe application of new technologies calls for a thorough understanding of how those technologies affect human performance and in turn, plant safety. In support of advancing human factors for small modular reactors and light water reactor sustainability, the Idaho National Laboratory (INL) has developed a reconfigurable simulation laboratory capable of testing human performance in multiple nuclear power plant (NPP) control room simulations. This paper discusses the laboratory infrastructure and capabilities, the laboratory’ s staffing requirements, lessons learned, and the researcher’s approach to measuring human performance in the simulation lab.

  12. Monte-Carlo study of the $??$ parameter

    E-Print Network [OSTI]

    J. -L. Alonso; Ph. Boucaud; A. J. van der Sijs

    1996-08-07

    We present results concerning a lattice study of the electroweak $\\rho$-parameter. We have used an SU(2)$\\times$U(1) symmetric chiral Yukawa model built with Zaragoza fermions. The decoupling of the species doublers in this model is verified numerically. We find that the numerical data for $\\Delta\\rho$ are well described by one-loop perturbation theory with the same finite volume and with the same finite cut-off. However, a finite cut-off can cause substantial deviations of $\\Delta\\rho$ from the standard value, even in infinite volume.

  13. Sedimentary parameters of upper Barataria Bay, Louisiana 

    E-Print Network [OSTI]

    Siegert, Rudolf B

    1961-01-01

    SEDIMENTARY PARAMETERS OF UPPER BARATARIA BAY, LOUISIANA A Thesis Rudolf Bernhardt Siegert Submitted to the Graduate School of the Agricultural snd Mechanical College of Texas in partial fulfillment of the reGulremente for the d. agree... of MASTER OF SCIENCE August 1961 Ma)or Sub)ect GeologP SEDYIKNTARY PARAI'ZTEHS OF DT'PBR BARATARIA BAY, LOUISIANA A Thesis By Rudolf Bernhardt Siegert Approved as to style and content by: Chairman of C 'tice Bea of Department or Student Advisor...

  14. Refinery, petrochemical plant injuries decline

    SciTech Connect (OSTI)

    Not Available

    1994-07-25

    The National Petroleum Refiners Association (NPRA) reports a 7% reduction in workplace injury and illness incidence rates for refineries in 1993, and a 21% decrease for petrochemical plants. The report summarizes data from 135 of the 162 US member refineries, and 117 of the 172 US member petrochemical plants. This paper summarizes the report findings.

  15. Do Plants Sweat? Core Content

    E-Print Network [OSTI]

    Kessler, Bruce

    in the bright sun and others are grouped together and are regularly sprinkled with water. You begin to wonder plant distribution where you see this principle in action? -Can you predict the effect of seasons data/graph] Three plants are grown in the same greenhouse with the same air temperature, amount

  16. Overview of enrichment plant safeguards

    SciTech Connect (OSTI)

    Swindle, D.W. Jr.; Wheeler, L.E.

    1982-01-01

    The relationship of enrichment plant safeguards to US nonproliferation objectives and to the operation and management of enrichment facilities is reviewed. During the review, the major components of both domestic and international safeguards systems for enrichment plants are discussed. In discussing domestic safeguards systems, examples of the technology currently in use to support nuclear materials accountability are described including the measurement methods, procedures and equipment used for weighing, sampling, chemical and isotopic analyses and nondestructive assay techniques. Also discussed is how the information obtained as part of the nuclear material accountancy task is useful to enrichment plant operations. International material accountancy verification and containment/surveillance concepts for enrichment plants are discussed, and the technologies presently being developed for international safeguards in enrichment plants are identified and the current development status is reported.

  17. Graduate Programs in Plant Biology and

    E-Print Network [OSTI]

    Wildermuth, Mary C

    not re- biochemistry, cell and molecular biology (B22). pmb.berkeley.edu Plant&Microbial Biology #12;The to the environment will continue to fuel the expansion of plant research well into the future. The plant biology program focuses on contemporary ba- sic plant research, design of biotechnologies, and plant-microbe

  18. Native Plants and PollinatorsNative Plants and PollinatorsNative Plants and PollinatorsNative Plants and Pollinators of Loney Meadowof Loney Meadowof Loney Meadowof Loney Meadow

    E-Print Network [OSTI]

    Ishida, Yuko

    Native Plants and PollinatorsNative Plants and PollinatorsNative Plants and PollinatorsNative Plants and Pollinators of Loney Meadowof Loney Meadowof Loney Meadowof Loney Meadow A walk with Dr.footwear. No dogs please.footwear. No dogs please. For more information please call: Kathy Van Zuuk, PlantFor more

  19. NRES 725 PLANT PHYSIOLOGICAL ECOLOGY Spring 2006

    E-Print Network [OSTI]

    Nowak, Robert S.

    1 NRES 725 ­ PLANT PHYSIOLOGICAL ECOLOGY Spring 2006 Reading List ­ Water Balance of Plants I) Water Balance of Plants A) Water potential B) Soil, plant, air continuum C) Physiological control 1 Kramer & Boyer (95) pp 16-41 & 42-83 Kramer & Boyer (95) pp 201-256 *Steudle (01) Ann Rev Plant Phy Mol

  20. Computer Automated Start-Up and Shutdown of an Air Separation Plant 

    E-Print Network [OSTI]

    Russek, S. L.; Beckowski, T. M.; Vinson, D. R.

    1985-01-01

    halted. The expanders are shutdown. The a1r 1s removed from the plant. and the alr compressor ls shutdown. The ma1n heat exchangers are blocked 1n and are then vented at the cold end. By vent1ng the cold gas at the cold end, the warm end w111 rema1n... and rellab1l1ty. II Incorporate a "Best Operator" ph110sophy. II Mlnlmlze unproductlve power. II Be easy to learn. II Be easy to use. II Allow one operator to start-up and shutdown the plant. PROCESS DESCRIPTION The computer start-up and shutdown...

  1. Large eddy simulations of surface roughness parameter sensitivity to canopy-structure characteristics

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

    Maurer, K. D.; Bohrer, G.; Ivanov, V. Y.

    2014-11-27

    Surface roughness parameters are at the core of every model representation of the coupling and interactions between land-surface and atmosphere, and are used in every model of surface fluxes. However, most models assume these parameters to be a fixed property of plant functional type and do not vary them in response to spatial or temporal changes to canopy structure. In part, this is due to the difficulty of reducing the complexity of canopy structure and its spatiotemporal dynamic and heterogeneity to less than a handful of parameters describing its effects of atmosphere–surface interactions. In this study we use large-eddy simulationsmore »to explore, in silico, the effects of canopy structure characteristics on surface roughness parameters. We performed a virtual experiment to test the sensitivity of resolved surface roughness to four axes of canopy structure: (1) leaf area index, (2) the vertical profile of leaf density, (3) canopy height, and (4) canopy gap fraction. We found roughness parameters to be highly variable, but were able to find positive relationships between displacement height and maximum canopy height, aerodynamic canopy height and maximum canopy height and leaf area index, and eddy-penetration depth and gap fraction. We also found negative relationships between aerodynamic canopy height and gap fraction, and between eddy-penetration depth and maximum canopy height and leaf area index. Using a decade of wind and canopy structure observations in a site in Michigan, we tested the effectiveness of our model-resolved parameters in predicting the frictional velocity over heterogeneous and disturbed canopies. We compared it with three other semi-empirical models and with a decade of meteorological observations. We found that parameterizations with fixed representations of roughness performed relatively well. Nonetheless, some empirical approaches that incorporate seasonal and inter-annual changes to the canopy structure performed even better than models with temporally fixed parameters.« less

  2. Fukushima Daiichi unit 1 uncertainty analysis--Preliminary selection of uncertain parameters and analysis methodology

    SciTech Connect (OSTI)

    Cardoni, Jeffrey N.; Kalinich, Donald A.

    2014-02-01

    Sandia National Laboratories (SNL) plans to conduct uncertainty analyses (UA) on the Fukushima Daiichi unit (1F1) plant with the MELCOR code. The model to be used was developed for a previous accident reconstruction investigation jointly sponsored by the US Department of Energy (DOE) and Nuclear Regulatory Commission (NRC). However, that study only examined a handful of various model inputs and boundary conditions, and the predictions yielded only fair agreement with plant data and current release estimates. The goal of this uncertainty study is to perform a focused evaluation of uncertainty in core melt progression behavior and its effect on key figures-of-merit (e.g., hydrogen production, vessel lower head failure, etc.). In preparation for the SNL Fukushima UA work, a scoping study has been completed to identify important core melt progression parameters for the uncertainty analysis. The study also lays out a preliminary UA methodology.

  3. Native Plant Uptake Model for Radioactive Waste Disposal Areas at the Nevada Test Site

    SciTech Connect (OSTI)

    BROWN,THERESA J.; WIRTH,SHARON

    1999-09-01

    This report defines and defends the basic framework, methodology, and associated input parameters for modeling plant uptake of radionuclides for use in Performance Assessment (PA) activities of Radioactive Waste Management Sites (RWMS) at the Nevada Test Site (NTS). PAs are used to help determine whether waste disposal configurations meet applicable regulatory standards for the protection of human health, the environment, or both. Plants adapted to the arid climate of the NTS are able to rapidly capture infiltrating moisture. In addition to capturing soil moisture, plant roots absorb nutrients, minerals, and heavy metals, transporting them within the plant to the above-ground biomass. In this fashion, plant uptake affects the movement of radionuclides. The plant uptake model presented reflects rooting characteristics important to plant uptake, biomass turnover rates, and the ability of plants to uptake radionuclides from the soil. Parameters are provided for modeling plant uptake and estimating surface contaminant flux due to plant uptake under both current and potential future climate conditions with increased effective soil moisture. The term ''effective moisture'' is used throughout this report to indicate the soil moisture that is available to plants and is intended to be inclusive of all the variables that control soil moisture at a site (e.g., precipitation, temperature, soil texture, and soil chemistry). Effective moisture is a concept used to simplify a number of complex, interrelated soil processes for which there are too little data to model actual plant available moisture. The PA simulates both the flux of radionuclides across the land surface and the potential dose to humans from that flux. Surface flux is modeled here as the amount of soil contamination that is transferred from the soil by roots and incorporated into aboveground biomass. Movement of contaminants to the surface is the only transport mechanism evaluated with the model presented here. Parameters necessary for estimating surface contaminant flux due to native plants expected to inhabit the NTS RWMSS are developed in this report. The model is specific to the plant communities found at the NTS and is designed for both short-term (<1,000 years) and long-term (>1,000 years) modeling efforts. While the model has been crafted for general applicability to any NTS PA, the key radionuclides considered are limited to the transuranic (TRU) wastes disposed of at the NTS.

  4. Cosmological parameters and the WMAP data

    E-Print Network [OSTI]

    Antony Lewis

    2003-10-07

    I discuss whether the standard cosmological models fit the WMAP data well enough to justify parameter estimation with standard assumptions. The observed quadrupole is low (but has significant foreground uncertainty) and drives weak evidence for theoretical models predicting low values, such as models with a running spectral index. Other more seriously outlying points of the WMAP power spectrum appear not to fit the expectations of simple Gaussian models very well. The effective temperature chi-squared is however acceptable on large scales. There also appears to be evidence for an anisotropic distribution of power, which taken together with the other points may indicate that either there is a problem with the WMAP data or that standard cosmological models are incorrect. These issues should be clarified before cosmological parameter extraction for the usual standard models can be trusted, and hint that maybe the CMB is more interesting than we imagined. I also discuss various systematic and analysis issues, and comment on various oddities in the publicly available first year WMAP data and code.

  5. Parents Provide Children with Social Cues for Word Learning

    E-Print Network [OSTI]

    Kyger, Mariel F.

    2013-01-01

    2007). A unified model of early word learning: IntegratingSmith, L. B. (2007). Rapid word learning under uncertaintyM. A. (2001). Learning words through overhearing. Child

  6. Partial Recombination for the CoEvolution of Model Parameters

    E-Print Network [OSTI]

    Parker, Gary B.

    with standard genetic algorithm to evolve parameters by model a hexapod robot. Tests were to progress

  7. Computing Biological Model Parameters by Parallel Statistical Model Checking

    E-Print Network [OSTI]

    Tronci, Enrico

    of Treatments for Infertility Related Endocrinological Diseases, 600773). #12;patient-specific model parameters

  8. Plant maintenance and plant life extension issue, 2007

    SciTech Connect (OSTI)

    Agnihotri, Newal (ed.)

    2007-03-15

    The focus of the March-April issue is on plant maintenance and plant life extension. Major articles/reports in this issue include: Three proposed COLs expected in 2007, by Dale E. Klein, U.S. Nuclear Regulatory Commission; Delivering behaviors that our customers value, by Jack Allen, Westinghouse Electric Company; Facilitating high-level and fuel waste disposal technologies, by Malcolm Gray, IAEA, Austria; Plant life management and long-term operation, by Pal Kovacs, OECD-NEA, France; Measuring control rod position, by R. Taymanov, K. Sapozhnikova, I. Druzhinin, D.I. Mendeleyev, Institue for Metrology, Russia; and, 'Modernization' means higher safety, by Svetlana Genova, Kozluduy NPP plc, Bulgaria.

  9. EARLY ENTRANCE COPRODUCTION PLANT

    SciTech Connect (OSTI)

    Lalit S. Shah; William K. Davis

    2000-05-01

    The overall objective of this project is the three phase development of an Early Entrance Coproduction Plant (EECP) which produces at least one product from at least two of the following three categories: (1) electric power (or heat), (2) fuels, and (3) chemicals. The objective is to have these products produced by technologies capable of using synthesis gas derived from coal or coal in combination with some other carbonaceous feedstock. The objective of Phase I is to determine the feasibility and define the concept for the EECP located at a specific site and to develop a Research, Development, and Test Plan (RD and T) for implementation in Phase II. The objective of Phase II is to conduct RD and T as outlined in the Phase I RD and T Plan to enhance the development and commercial acceptance of Coproduction technology that produces high-value products, particularly those that are critical to our domestic fuel and power requirements. The project will resolve critical knowledge and technology gaps on the integration of gasification and downstream processing to coproduce some combination of power, fuels, and chemicals from coal and other feedstocks. The objective of Phase III is to develop an engineering design package and a financing plan for an EECP located at a specific site. The project's intended result is to provide the necessary technical, economic, and environmental information that will be needed to move the EECP forward to detailed design, construction, and operation by industry.

  10. National Wind Distance Learning Collaborative

    SciTech Connect (OSTI)

    Dr. James B. Beddow

    2013-03-29

    Executive Summary The energy development assumptions identified in the Department of Energy's position paper, 20% Wind Energy by 2030, projected an exploding demand for wind energy-related workforce development. These primary assumptions drove a secondary set of assumptions that early stage wind industry workforce development and training paradigms would need to undergo significant change if the workforce needs were to be met. The current training practice and culture within the wind industry is driven by a relatively small number of experts with deep field experience and knowledge. The current training methodology is dominated by face-to-face, classroom based, instructor present training. Given these assumptions and learning paradigms, the purpose of the National Wind Distance Learning Collaborative was to determine the feasibility of developing online learning strategies and products focused on training wind technicians. The initial project scope centered on (1) identifying resources that would be needed for development of subject matter and course design/delivery strategies for industry-based (non-academic) training, and (2) development of an appropriate Learning Management System (LMS). As the project unfolded, the initial scope was expanded to include development of learning products and the addition of an academic-based training partner. The core partners included two training entities, industry-based Airstreams Renewables and academic-based Lake Area Technical Institute. A third partner, Vision Video Interactive, Inc. provided technology-based learning platforms (hardware and software). The revised scope yielded an expanded set of results beyond the initial expectation. Eight learning modules were developed for the industry-based Electrical Safety course. These modules were subsequently redesigned and repurposed for test application in an academic setting. Software and hardware developments during the project's timeframe enabled redesign providing for student access through the use of tablet devices such as iPads. Early prototype Learning Management Systems (LMS) featuring more student-centric access and interfaces with emerging social media were developed and utilized during the testing applications. The project also produced soft results involving cross learning between and among the partners regarding subject matter expertise, online learning pedagogy, and eLearning technology-based platforms. The partners believe that the most significant, overarching accomplishment of the project was the development and implementation of goals, activities, and outcomes that significantly exceeded those proposed in the initial grant application submitted in 2009. Key specific accomplishments include: (1) development of a set of 8 online learning modules addressing electrical safety as it relates to the work of wind technicians; (3) development of a flexible, open-ended Learning Management System (LMS): (3) creation of a robust body of learning (knowledge, experience, skills, and relationships). Project leaders have concluded that there is substantial resource equity that could be leverage and recommend that it be carried forward to pursue a Next Stage Opportunity relating to development of an online core curriculum for institute and community college energy workforce development programs.

  11. A New Learning Algorithm for Mean Field Boltzmann Machines

    E-Print Network [OSTI]

    Welling, Max

    / hhh T i 0 hhh T i EQ ÆV / hvv T i 0 hvv T i EQ ÆJ / hvh T i 0 hvh T i EQ (2) This learning rule) approximation which replaces the averages in eqn. 2 with averages over factorized distributions. hhh T i 0 ! 1 N N X n=1 q 0;n q T 0;n hvv T i EQ ! r EQ r T EQ hhh T i EQ ! q EQ q T EQ (3) where the parameters q 0

  12. Use of neural networks in the operation of nuclear power plants

    SciTech Connect (OSTI)

    Uhrig, R.E. (Tennessee Univ., Knoxville, TN (USA) Oak Ridge National Lab., TN (USA))

    1990-01-01

    Application of neural networks to the operation of nuclear power plants is being investigated under a US Department of Energy sponsored program at the University of Tennessee. Projects include the feasibility of using neural networks for the following tasks: (a) diagnosing specific abnormal conditions, (b) detection of the change of mode of operation, (c) signal validation, (d) monitoring of check valves, (e) modeling of the plant thermodynamics, (f) emulation of core reload calculations, (g) analysis of temporal sequences in NRC's licensee event report,'' (h) monitoring of plant parameters, and (i) analysis of plant vibrations. Each of these projects and its status are described briefly in this article. the objective of each of these projects is to enhance the safety and performance of nuclear plants through the use of neural networks. 6 refs.

  13. Preliminary result of rapid solenoid for controlling heavy-ion beam parameters of laser ion source

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

    Okamura, M.; Sekine, M.; Ikeda, S.; Kanesue, T.; Kumaki, M.; Fuwa, Y.

    2015-03-13

    To realize a heavy ion inertial fusion driver, we have studied a possibility of laser ion source (LIS). A LIS can provide high current high brightness heavy ion beams, however it was difficult to manipulate the beam parameters. To overcome the issue, we employed a pulsed solenoid in the plasma drift section and investigated the effect of the solenoid field on singly charged iron beams. The rapid ramping magnetic field could enhance limited time slice of the current and simultaneously the beam emittance changed accordingly. This approach may also useful to realize an ion source for HIF power plant.

  14. Plant Energy Cost Optimization Program (PECOP) 

    E-Print Network [OSTI]

    Robinson, A. M.

    1980-01-01

    The Plant Energy Cost Optimization Program (PECOP) is a Management System designed to reduce operating cost in a continuous operating multi product plant by reviewing all cost factors and selecting plant wide production schedules which are most...

  15. Preliminary design of the Carrisa Plains solar central receiver power plant. Volume III, Book 3. Appendices. Part 2

    SciTech Connect (OSTI)

    Lee, S. K.

    1983-12-31

    The auxiliary heat transport systems of the Carrisa Plains Solar Power Plant (CPSPP) comprise facilities which are used to support plant operation and provide plant safety and maintenance. The facilities are the sodium purification system, argon cover gas system, sodium receiving and filling system, sodium-water reaction product receiving system, and safety and maintenance equipment. The functions of the facilities of the auxiliary system are described. Design requirements are established based on plant operating parameters. Descriptions are given on the system which will be adequate to perform the function and satisfy the requirements. Valve and equipment lists are included in the appendix.

  16. SENSIBLE HEAT STORAGE FOR A SOLAR THERMAL POWER PLANT

    E-Print Network [OSTI]

    Baldwin, Thomas F.

    2011-01-01

    of the Proposed Solar Power Plant Design The Impact ofof the Thesis SOLAR POWER PLANT DESIGN , Study Guidelines a.Reference Solar Power Plant Design e. Power Plant

  17. SENSIBLE HEAT STORAGE FOR A SOLAR THERMAL POWER PLANT

    E-Print Network [OSTI]

    Baldwin, Thomas F.

    2011-01-01

    storage can provide solar power plant energy storage for aconfiguration for a solar power plant without energy storagefor a solar power plant greatly influences the plant energy

  18. Data used in preliminary performance assessment of the Waste Isolation Pilot Plant (1990)

    SciTech Connect (OSTI)

    Rechard, R.P (Sandia National Labs., Albuquerque, NM (USA)); Luzzolino, H. (Geo-Centers, Inc., Albuquerque, NM (USA)); Sandha, J.S. (Science Applications International Corp., Albuquerque, NM (USA))

    1990-12-01

    This report documents the data available as of August 1990 and used by the Performance Assessment Division of Sandia National Laboratories in its December 1990 preliminary performance assessment of the Waste Isolation Pilot Plant (WIPP). Parameter values are presented in table form for the geologic subsystem, engineered barriers, borehole flow properties, climate variability, and intrusion characteristics. Sources for the data and a brief discussion of each parameter are provided. 101 refs., 72 figs., 21 tabs.

  19. Parameter monitoring compensation system and method

    DOE Patents [OSTI]

    Barkman, W.E.; Babelay, E.F.; DeMint, P.D.; Hebble, T.L.; Igou, R.E.; Williams, R.R.; Klages, E.J.; Rasnick, W.H.

    1995-02-07

    A compensation system is described for a computer-controlled machining apparatus having a controller and including a cutting tool and a workpiece holder which are movable relative to one another along a preprogrammed path during a machining operation. It utilizes sensors for gathering information at a preselected stage of a machining operation relating to an actual condition. The controller compares the actual condition to a condition which the program presumes to exist at the preselected stage and alters the program in accordance with detected variations between the actual condition and the assumed condition. Such conditions may be related to process parameters, such as a position, dimension or shape of the cutting tool or workpiece or an environmental temperature associated with the machining operation, and such sensors may be a contact or a non-contact type of sensor or a temperature transducer. 7 figs.

  20. Parameter monitoring compensation system and method

    DOE Patents [OSTI]

    Barkman, William E. (Oak Ridge, TN); Babelay, Edwin F. (Knoxville, TN); DeMint, Paul D. (Kingston, TN); Hebble, Thomas L. (Oak Ridge, TN); Igou, Richard E. (Knoxville, TN); Williams, Richard R. (Oak Ridge, TN); Klages, Edward J. (Oak Ridge, TN); Rasnick, William H. (Knoxville, TN)

    1995-01-01

    A compensation system for a computer-controlled machining apparatus having a controller and including a cutting tool and a workpiece holder which are movable relative to one another along preprogrammed path during a machining operation utilizes sensors for gathering information at a preselected stage of a machining operation relating to an actual condition. The controller compares the actual condition to a condition which the program presumes to exist at the preselected stage and alters the program in accordance with detected variations between the actual condition and the assumed condition. Such conditions may be related to process parameters, such as a position, dimension or shape of the cutting tool or workpiece or an environmental temperature associated with the machining operation, and such sensors may be a contact or a non-contact type of sensor or a temperature transducer.

  1. Scanning the Parameter Space of Holographic Superconductors

    E-Print Network [OSTI]

    Obinna C. Umeh

    2009-07-17

    We study various physical quantities associated with holographic s-wave superconductors as functions of the scaling dimensions of the dual condensates. A bulk scalar field with negative mass squared $m^2$, satisfying the Breitenlohner-Freedman stability bound and the unitarity bound, and allowed to vary in $0.5$ unit intervals, were considered. We observe that all the physical quantities investigated are sensitive to the scaling dimensions of the dual condensates. For all the $m^2$, the characteristic lengths diverge at the critical temperature in agreement with the Ginzburg-Landau theory. The Ginzburg-Landau parameter, obtained from these length scales indicates that the holographic superconductors can be type I or type II depending on the charge and the scaling dimensions of the dual condensates. For a fixed charge, there exists a critical scaling dimension, above which a holographic superconductor is type I, below which it becomes a type II.

  2. Analysis report for WIPP colloid model constraints and performance assessment parameters

    SciTech Connect (OSTI)

    Mariner, Paul E.; Sassani, David Carl

    2014-03-01

    An analysis of the Waste Isolation Pilot Plant (WIPP) colloid model constraints and parameter values was performed. The focus of this work was primarily on intrinsic colloids, mineral fragment colloids, and humic substance colloids, with a lesser focus on microbial colloids. Comments by the US Environmental Protection Agency (EPA) concerning intrinsic Th(IV) colloids and Mg-Cl-OH mineral fragment colloids were addressed in detail, assumptions and data used to constrain colloid model calculations were evaluated, and inconsistencies between data and model parameter values were identified. This work resulted in a list of specific conclusions regarding model integrity, model conservatism, and opportunities for improvement related to each of the four colloid types included in the WIPP performance assessment.

  3. Enterprise Assessments Review, Waste Isolation Pilot Plant -...

    Office of Environmental Management (EM)

    Enterprise Assessments Review, Waste Isolation Pilot Plant - December 2014 Enterprise Assessments Review, Waste Isolation Pilot Plant - December 2014 December, 2014 Review of the...

  4. Independent Oversight Inspection, Pantex Plant - August 2005...

    Energy Savers [EERE]

    August 2005 Independent Oversight Inspection, Pantex Plant - August 2005 August 2005 Inspection of Emergency Management at the Pantex Site Office and the Pantex Plant This report...

  5. New Jersey Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  6. New York Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  7. North Carolina Nuclear Profile - Power Plants

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

    Carolina nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  8. South Carolina Nuclear Profile - Power Plants

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

    South Carolina nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  9. New Hampshire Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (nw)","Net generation (thousand mwh)","Share of State nuclear net...

  10. Pre-In-Plant Training Webinar (Steam)

    Broader source: Energy.gov [DOE]

    This pre-In-Plant training webinar for the Better Plants Program covers how to find energy savings in steam systems.

  11. Independent Oversight Review, Portsmouth Gaseous Diffusion Plant...

    Office of Environmental Management (EM)

    January 2013 Independent Oversight Review, Portsmouth Gaseous Diffusion Plant - January 2013 January 2013 Review of the Portsmouth Gaseous Diffusion Plant Work Planning and Control...

  12. Independent Activity Report, Portsmouth Gaseous Diffusion Plant...

    Office of Environmental Management (EM)

    Portsmouth Gaseous Diffusion Plant - August 2011 Independent Activity Report, Portsmouth Gaseous Diffusion Plant - August 2011 August 2011 Orientation Visit to the Portsmouth...

  13. HYDROCARBONS FROM PLANTS: ANALYTICAL METHODS AND OBSERVATIONS

    E-Print Network [OSTI]

    Calvin, Melvin

    2013-01-01

    molecular weights of various hydrocarbon materials for fuelof oil and alcohol from hydrocarbon-producing plants. Into Die Naturwissenschaften HYDROCARBONS FROM PLANTS: METHODS

  14. EARLY ENTRANCE COPRODUCTION PLANT

    SciTech Connect (OSTI)

    John H. Anderson; William K. Davis; Thomas W. Sloop

    2001-03-21

    As part of the Department of Energy's (DOE) Gasification Technologies and Transportation Fuels and Chemicals programs, DOE and Texaco are partners through Cooperative Agreement DE-FC26-99FT40658 to determine the feasibility of developing, constructing and operating an Early Entrance Coproduction Plant (EECP). The overall objective of the project is the three-phase development of an EECP that produces at least one product from at least two of the following three categories: Electric power (or heat); Fuels; and Chemicals. The objective is to have these products produced by technologies capable of using synthesis gas derived from coal and/or some other carbonaceous feedstock, such as petroleum coke. The objective of Phase I was to determine the feasibility and define the concept for the EECP located at a specific site and to develop a Research, Development, and Testing (RD and T) Plan for implementation in Phase II. This objective has now been accomplished. A specific site, Motiva Refinery in Port Arthur, Texas, has been selected as the location best suited for the EECP. The specific work requirements of Phase I included: Prepare an EECP Preliminary Concept Report covering Tasks 2-8 specified in the Cooperative Agreement; Develop a Research, Development, and Testing (RD and T) Plan as specified in Task 9 of the Cooperative Agreement for implementation in Phase II; and Develop a Preliminary Project Financing Plan for the EECP Project as specified in Task 10 of the Cooperative Agreement. This document is the Preliminary Project Financing Plan for the design, construction, and operation of the EECP at the Motiva Port Arthur Refinery.

  15. Learning from history: Adaptive calibration of 'tilting spine' fiber positioners

    E-Print Network [OSTI]

    Gilbert, James

    2015-01-01

    This paper discusses a new approach for determining the calibration parameters of independently-actuated optical fibers in multi-object astronomical fiber positioning systems. This work comes from the development of a new type of piezoelectric motor intended to enhance the 'tilting spine' fiber positioning technology originally created by the Australian Astronomical Observatory. Testing has shown that the motor's performance can vary depending on the fiber's location within its accessible field, meaning that an individual fiber is difficult calibrate with a one-time routine. Better performance has resulted from constantly updating calibration parameters based on the observed movements of the fiber during normal closed-loop positioning. Over time, location-specific historical data is amassed that can be used to better predict the results of a future fiber movement. This is similar to a technique previously proposed by the Australian Astronomical Observatory, but with the addition of location-specific learning....

  16. Plant salt-tolerance mechanisms

    SciTech Connect (OSTI)

    Deinlein, Ulrich; Stephan, Aaron B.; Horie, Tomoaki; Luo, Wei; Xu, Guohua; Schroeder, Julian I.

    2014-06-01

    Crop performance is severely affected by high salt concentrations in soils. To engineer more salt-tolerant plants it is crucial to unravel the key components of the plant salt-tolerance network. Here we review our understanding of the core salt-tolerance mechanisms in plants. Recent studies have shown that stress sensing and signaling components can play important roles in regulating the plant salinity stress response. We also review key Na+ transport and detoxification pathways and the impact of epigenetic chromatin modifications on salinity tolerance. In addition, we discuss the progress that has been made towards engineering salt tolerance in crops, including marker-assisted selection and gene stacking techniques. We also identify key open questions that remain to be addressed in the future.

  17. The Annual Growth In Plants

    E-Print Network [OSTI]

    Courtright, J. E.

    1903-01-01

    KU ScholarWorks | The University of Kansas Pre-1923 Dissertations and Theses Collection The Annual Growth In Plants 1903 by J. E. Courtright This work was digitized by the Scholarly Communications program staff in the KU Libraries’ Center...

  18. Water Filtration Using Plant Xylem

    E-Print Network [OSTI]

    Boutilier, Michael Stephen Ha

    Effective point-of-use devices for providing safe drinking water are urgently needed to reduce the global burden of waterborne disease. Here we show that plant xylem from the sapwood of coniferous trees – a readily available, ...

  19. USF PHYSICAL PLANT VEHICLE MAINTENANCE

    E-Print Network [OSTI]

    Meyers, Steven D.

    USF PHYSICAL PLANT VEHICLE MAINTENANCE TELEPHONE NO. 974-2500 GAS PUMP AUTHORIZATION FORM PLEASE. _____ THE FOLLOWING PERSONNEL ARE AUTHORIZED BY THIS DOCUMENT TO PUMP GASOLINE/DIESEL FUEL FOR OUR USF OWNED VEHICLES

  20. A neighborhood alternative energy plant

    E-Print Network [OSTI]

    Brooks, Douglas James

    1982-01-01

    A design that proposes the redefinition of the role of a power plant facility within a community by creating a humane environment for recreation, education, community gathering, living, and energy production; rather than ...

  1. Computer Control of Unattended Plants 

    E-Print Network [OSTI]

    Vinson, D. R.; Chatterjee, N.

    1984-01-01

    Providing a cost-effective and reliable computer monitoring, control, and optimization package is a greater challenge for small, unattended plants than for large energy intensive facilities. This paper describes the successful application of a...

  2. Development of BWR plant analyzer

    SciTech Connect (OSTI)

    Wulff, W.; Cheng, H.S.; Lekach, S.V.; Stritar, A.; Mallen, A.N.

    1984-01-01

    The BWR Plant Analyzer has been developed for realistic and accurate simulations of normal and severe abnormal transients in BWR power plants at high simulation speeds, low capital and operating costs and with outstanding user conveniences. The simulation encompasses neutron kinetics, heat conduction in fuel structures, nonequilibrium, nonhomogeneous coolant dynamics, steam line acoustics, and the dynamics of turbines, condensers, feedwater pumps and heaters, of the suppression pool, the control systems and the plant protection systems. These objectives have been achieved. Advanced modeling, using extensively analytical integration and dynamic evaluation of analytical solutions, has been combined with modern minicomputer technology for high-speed simulation of complex systems. The High-Speed Interactive Plant Analyzer code HIPA-BWR has been implemented on the AD10 peripheral parallel processor.

  3. Morris Plant Energy Efficiency Program 

    E-Print Network [OSTI]

    Betczynski, M. T.

    2004-01-01

    to existing operating practices. Plant management also takes an active role in recognizing accomplishments and holding personnel accountable for continued improvement in energy efficiency. The control systems group at Equistar has integrated an Aspen...

  4. Upgrading coal plant damper drives

    SciTech Connect (OSTI)

    Hood, N.R.; Simmons, K. [Alamaba Power (United States)

    2009-11-15

    The replacement of damper drives on two coal-fired units at the James H. Miller Jr. electric generating plant by Intelligent Contrac electric rotary actuators is discussed. 2 figs.

  5. Plant salt-tolerance mechanisms

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

    Deinlein, Ulrich; Stephan, Aaron B.; Horie, Tomoaki; Luo, Wei; Xu, Guohua; Schroeder, Julian I.

    2014-06-01

    Crop performance is severely affected by high salt concentrations in soils. To engineer more salt-tolerant plants it is crucial to unravel the key components of the plant salt-tolerance network. Here we review our understanding of the core salt-tolerance mechanisms in plants. Recent studies have shown that stress sensing and signaling components can play important roles in regulating the plant salinity stress response. We also review key Na+ transport and detoxification pathways and the impact of epigenetic chromatin modifications on salinity tolerance. In addition, we discuss the progress that has been made towards engineering salt tolerance in crops, including marker-assisted selectionmore »and gene stacking techniques. We also identify key open questions that remain to be addressed in the future.« less

  6. Scale Insects on Ornamental Plants 

    E-Print Network [OSTI]

    Muegge, Mark A.; Merchant, Michael E.

    2000-08-21

    Scale insects damage landscape plants, shrubs and trees. This publication explains how to control scale insects economically without damaging the environment, including sampling for scale crawlers, using natural enemies and applying pesticides....

  7. Assessing FPAR Source and Parameter Optimization Scheme in Application of a Diagnostic Carbon Flux Model

    SciTech Connect (OSTI)

    Turner, D P; Ritts, W D; Wharton, S; Thomas, C; Monson, R; Black, T A

    2009-02-26

    The combination of satellite remote sensing and carbon cycle models provides an opportunity for regional to global scale monitoring of terrestrial gross primary production, ecosystem respiration, and net ecosystem production. FPAR (the fraction of photosynthetically active radiation absorbed by the plant canopy) is a critical input to diagnostic models, however little is known about the relative effectiveness of FPAR products from different satellite sensors nor about the sensitivity of flux estimates to different parameterization approaches. In this study, we used multiyear observations of carbon flux at four eddy covariance flux tower sites within the conifer biome to evaluate these factors. FPAR products from the MODIS and SeaWiFS sensors, and the effects of single site vs. cross-site parameter optimization were tested with the CFLUX model. The SeaWiFs FPAR product showed greater dynamic range across sites and resulted in slightly reduced flux estimation errors relative to the MODIS product when using cross-site optimization. With site-specific parameter optimization, the flux model was effective in capturing seasonal and interannual variation in the carbon fluxes at these sites. The cross-site prediction errors were lower when using parameters from a cross-site optimization compared to parameter sets from optimization at single sites. These results support the practice of multisite optimization within a biome for parameterization of diagnostic carbon flux models.

  8. Review and analysis of parameters for assessing transport of environmentally released radionuclides through agriculture

    SciTech Connect (OSTI)

    Baes, C.F. III; Sharp, R.D.; Sjoreen, A.L.; Shor, R.W.

    1984-09-01

    Most of the default parameters incorporated into the TERRA computer code are documented including a literature review and systematic analysis of element-specific transfer parameters B/sub v/, B/sub r/, F/sub m/, F/sub f/, and K/sub d/. This review and analysis suggests default values which are consistent with the modeling approaches taken in TERRA and may be acceptable for most assessment applications of the computer code. However, particular applications of the code and additional analysis of elemental transport may require alternative default values. Use of the values reported herein in other computer codes simulating terrestrial transport is not advised without careful interpretation of the limitations and scope these analyses. An approach to determination of vegetation-specific interception fractions is also discussed. The limitations of this approach are many, and its use indicates the need for analysis of deposition, interception, and weathering processes. Judgement must be exercised in interpretation of plant surface concentrations generated. Finally, the location-specific agricultural, climatological, and population parameters in the default SITE data base documented. These parameters are intended as alternatives to average values currently used. Indeed, areas in the United States where intensive crop, milk, or beef production occurs will be reflected in the parameter values as will areas where little agricultural activity occurs. However, the original information sources contained some small error and the interpolation and conversion methods used will add more. Parameters used in TERRA not discussed herein are discussed in the companion report to this one - ORNL-5785. In the companion report the models employed in and the coding of TERRA are discussed. These reports together provide documentation of the TERRA code and its use in assessments. 96 references, 78 figures, 21 tables.

  9. COKEMASTER: Coke plant management system

    SciTech Connect (OSTI)

    Johanning, J.; Reinke, M. [Krupp Koppers GmbH, Essen (Germany)

    1996-12-31

    To keep coke utilization in ironmaking as competitive as possible, the potential to improve the economics of coke production has to be utilized. As one measure to meet this need of its customers, Krupp Koppers has expanded its existing ECOTROL computer system for battery heating control to a comprehensive Coke Plant Management System. Increased capacity utilization, lower energy consumption, stabilization of plant operation and ease of operation are the main targets.

  10. Researching power plant water recovery

    SciTech Connect (OSTI)

    NONE

    2008-04-01

    A range of projects supported by NETl under the Innovations for Existing Plant Program are investigating modifications to power plant cooling systems for reducing water loss, and recovering water from the flue gas and the cooling tower. This paper discusses two technologies showing particular promise condense water that is typically lost to evaporation, SPX technologies' Air2Air{sup trademark} condenses water from a cooling tower, while Lehigh University's process condenses water and acid in flue gas. 3 figs.

  11. Common Aquatic Plants -- Identification, Control. 

    E-Print Network [OSTI]

    Klussmann, Wallace G. (Wallace Glenn); Lowman, Fred G.

    1964-01-01

    root. Duckweed float freely and are moved by wind current. Often they can be removed mechanically by net or similar device when plants are crowded against the shore by a strong wind. Use Chemical Control No.8. FLOATING PLANTS WATER STAR GRASS.... The genus Potamogeton J commonly called pond weeds, includes many species common to Texas waters. Group characteristics include alternate leaves with flowers and fruits in spikes or heads. Many have two kinds of leaves: (1) floating and firm textured and (2...

  12. Controlling Diseases on Ornamental Plants

    E-Print Network [OSTI]

    Horne, C. Wendell; Johnson, Jerral D.; Walla, Walter J.

    1979-01-01

    on elms and other shade trees. Mushroom-type fu ngal growths appear on trunk, limbs or roots near the soil surface. Rots may be present for several years before mushrooms ap pear. Tree becomes sus ceptible to wi nd damage. Plants may die back..., irises, lilies, narcissus and tulips. ROOT DISEASES Disease Cotton root rot (fungi) Crown gall Mushroom root rot Symptoms Small flowering plants die within a few days. Shrubs and trees die more slowly. Large trees may die within several...

  13. Parameter estimation with Sandage-Loeb test

    E-Print Network [OSTI]

    Jia-Jia Geng; Jing-Fei Zhang; Xin Zhang

    2014-11-28

    The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of $2\\lesssim z\\lesssim 5$ by detecting redshift drift in the spectra of Lyman-$\\alpha$ forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the $\\Lambda$CDM, the $w$CDM, and the $w_0w_a$CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between $\\Omega_m$ and $H_0$ in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on $\\Omega_m$ and $H_0$ by more than 60\\% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant $w$ by about 25\\%, and improve the constraints on $w_0$ and $w_a$ by about 20\\% and 15\\%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of $\\Omega_m$, $H_0$, and $w_a$ by more than 70\\%, 20\\%, and 60\\%, respectively, for the $w_0w_a$CDM model.

  14. Parameter estimation with Sandage-Loeb test

    SciTech Connect (OSTI)

    Geng, Jia-Jia; Zhang, Jing-Fei; Zhang, Xin E-mail: jfzhang@mail.neu.edu.cn

    2014-12-01

    The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of 2 ?< z ?< 5 by detecting redshift drift in the spectra of Lyman-? forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the ?CDM, the wCDM, and the w{sub 0}w{sub a}CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between ?{sub m} and H{sub 0} in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on ?{sub m} and H{sub 0} by more than 60% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant w by about 25%, and improve the constraints on w{sub 0} and w{sub a} by about 20% and 15%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of ?{sub m}, H{sub 0}, and w{sub a} by more than 70%, 20%, and 60%, respectively, for the w{sub 0}w{sub a}CDM model.

  15. On Learning Algorithms for Nash Equilibria

    E-Print Network [OSTI]

    Daskalakis, Constantinos

    Can learning algorithms find a Nash equilibrium? This is a natural question for several reasons. Learning algorithms resemble the behavior of players in many naturally arising games, and thus results on the convergence or ...

  16. 6.867 Machine Learning, Fall 2002

    E-Print Network [OSTI]

    Jaakkola, Tommi S. (Tommi Sakari)

    Principles, techniques, and algorithms in machine learning from the point of view of statistical inference; representation, generalization, and model selection; and methods such as linear/additive models, active learning, ...

  17. General conditions for predictivity in learning theory

    E-Print Network [OSTI]

    Poggio, Tomaso

    that ensure generalization for the natural class of empirical risk minimization (ERM) learning algorithms- ditions on the learning map rather than on the hypothesis space, subsumes the classical theory for ERM

  18. Early word learning through communicative inference

    E-Print Network [OSTI]

    Frank, Michael C., Ph. D. Massachusetts Institute of Technology

    2010-01-01

    How do children learn their first words? Do they do it by gradually accumulating information about the co-occurrence of words and their referents over time, or are words learned via quick social inferences linking what ...

  19. Total learning : education beyond the classroom

    E-Print Network [OSTI]

    Im, Soo O., 1972-

    2002-01-01

    What is a quality learning space? This thesis is a study of a prototype for secondary school to provide a stimulating learning environment and a nurturing growing space in an urban site through exploration of different ...

  20. Interactions between learning and decision making

    E-Print Network [OSTI]

    Tulabandhula, Theja

    2014-01-01

    We quantify the effects of learning and decision making on each other in three parts. In the first part, we look at how knowledge about decision making can influence learning. Let the decision cost be the amount spent by ...

  1. EARLY ENTRANCE COPRODUCTION PLANT

    SciTech Connect (OSTI)

    Fred D. Brent; Lalit Shah; Earl Berry; Charles H. Schrader; John Anderson; Ming He; James F. Stevens; Centha A. Davis; Michael Henley; Jerome Mayer; Harry Tsang; Jimell Erwin; Jennifer Adams; Michael Tillman; Chris Taylor; Marjan J. Roos; Robert F. Earhart

    2004-01-27

    The overall objective of this project is the three phase development of an Early Entrance Coproduction Plant (EECP) which uses petroleum coke to produce at least one product from at least two of the following three categories: (1) electric power (or heat), (2) fuels, and (3) chemicals using ChevronTexaco's proprietary gasification technology. The objective of Phase I is to determine the feasibility and define the concept for the EECP located at a specific site; develop a Research, Development, and Testing (RD&T) Plan to mitigate technical risks and barriers; and prepare a Preliminary Project Financing Plan. The objective of Phase II is to implement the work as outlined in the Phase I RD&T Plan to enhance the development and commercial acceptance of coproduction technology. The objective of Phase III is to develop an engineering design package and a financing and testing plan for an EECP located at a specific site. The project's intended result is to provide the necessary technical, economic, and environmental information needed by industry to move the EECP forward to detailed design, construction, and operation. The partners in this project are Texaco Energy Systems LLC or TES (a subsidiary of ChevronTexaco), General Electric (GE), Praxair, and Kellogg Brown & Root (KBR) in addition to the U.S. Department of Energy (DOE). TES is providing gasification technology and Fischer-Tropsch (F-T) technology developed by Rentech, GE is providing combustion turbine technology, Praxair is providing air separation technology, and KBR is providing engineering. Each of the EECP subsystems was assessed for technical risks and barriers. A plan was developed to mitigate the identified risks (Phase II RD&T Plan, October 2000). The potential technical and economic risks to the EECP from Task 2.5 can be mitigated by demonstrating that the end-use products derived from the upgrading of the F-T synthesis total liquid product can meet or exceed current specifications for the manufacture of ethylene and propylene chemicals from F-T naphtha, for the generation of hydrogen from F-T naphtha to power fuel cells, for direct blending of F-T diesels into transportation fuels, for the conversion of F-T heavy product wax to transportation fuels, and the conversion of F-T Heavy product wax to a valuable high melting point food-grade specialty wax product. Product evaluations conducted under Task 2.5 of Phase II successfully mitigated the above technical and economic risks to the EECP with the development of product yields and product qualities for the production of chemicals, transportation fuels, and specialty food-grade waxes from the F-T synthesis products.

  2. EARLY ENTRANCE COPRODUCTION PLANT

    SciTech Connect (OSTI)

    John Anderson; Charles Schrader

    2004-01-26

    In 1999, the U. S. Department of Energy (DOE) awarded a Cooperative Agreement to Texaco Energy Systems Inc. to provide a preliminary engineering design of an Early Entrance Coproduction Plant (EECP). Since the award, continuous and diligent work has been undertaken to achieve the design of an economical facility that makes strides toward attaining the goal of DOE's Vision 21 Program. The objective of the EECP is to convert coal and/or petroleum coke to power while coproducing transportation fuels, chemicals, and useful utilities such as steam. This objective is being pursued in a three-phase effort through the partnership of the DOE with prime contractor Texaco Energy Systems, LLC. (TES), the successor to Texaco Energy Systems, Inc. The key subcontractors to TES include General Electric (GE), Praxair, and Kellogg Brown and Root. ChevronTexaco provided gasification technology and Rentech Inc.'s Fischer-Tropsch (F-T) technology that has been developed for non-natural gas sources. GE provided gas turbine technology for the combustion of low energy content gas. Praxair provided air separation technology and KBR provided engineering to integrate the facility. A conceptual design was completed in Phase I and the report was accepted by the DOE in May 2001. The Phase I work identified risks and critical research, development, and testing that would improve the probability of technical success of the EECP. The objective of Phase II was to mitigate the risks by executing research, development, and testing. Results from the Phase II work are the subject of this report. As the work of Phase II concluded, it became evident that sufficient, but not necessarily complete, technical information and data would be available to begin Phase III - Preliminary Engineering Design. Work in Phase II requires additional technical development work to correctly apply technology at a specific site. The project's intended result is to provide the necessary technical, economic, and environmental information needed by industry to move the EECP forward to detailed design, construction, and operation. The decision to proceed with Phase III centers on locating a new site and favorable commercial and economic factors.

  3. EARLY ENTRANCE COPRODUCTION PLANT

    SciTech Connect (OSTI)

    David Storm; Govanon Nongbri; Steve Decanio; Ming He; Lalit Shah; Charles Schrader; Earl Berry; Peter Ricci; Belma Demirel; Charles Benham; Mark Bohn

    2004-01-12

    The overall objective of this project is the three phase development of an Early Entrance Coproduction Plant (EECP) which uses petroleum coke to produce at least one product from at least two of the following three categories: (1) electric power (or heat), (2) fuels, and (3) chemicals using ChevronTexaco's proprietary gasification technology. The objective of Phase I is to determine the feasibility and define the concept for the EECP located at a specific site; develop a Research, Development, and Testing (RD&T) Plan to mitigate technical risks and barriers; and prepare a Preliminary Project Financing Plan. The objective of Phase II is to implement the work as outlined in the Phase I RD&T Plan to enhance the development and commercial acceptance of coproduction technology. The objective of Phase III is to develop an engineering design package and a financing and testing plan for an EECP located at a specific site. The project's intended result is to provide the necessary technical, economic, and environmental information needed by industry to move the EECP forward to detailed design, construction, and operation. The partners in this project are Texaco Energy Systems LLC or TES (a subsidiary of ChevronTexaco), General Electric (GE), Praxair, and Kellogg Brown & Root (KBR) in addition to the U.S. Department of Energy (DOE). TES is providing gasification technology and Fischer-Tropsch (F-T) technology developed by Rentech, Inc., GE is providing combustion turbine technology, Praxair is providing air separation technology, and KBR is providing engineering. During Phase I, a design basis for the Fischer-Tropsch Synthesis section was developed based on limited experience with the specified feed gas and operating conditions. The objective of this Task in Phase II RD&T work was to confirm the performance of the F-T reactor at the set design conditions. Although much of the research, development, and testing work were done by TES outside of this project, several important issues were addressed in this phase of the project. They included Rejuvenation/Regeneration of the Fischer-Tropsch Catalyst, online Catalyst Withdrawal and Addition from the synthesis reactor, and the Fischer-Tropsch Design Basis Confirmation. In Phase III the results from these RD&T work will be incorporated in developing the engineering design package. This Topical Report documents the Phase II RD&T work that was completed for this task.

  4. WRITING EXPECTED LEARNING OUTCOMES FOR AWRITING EXPECTED LEARNING OUTCOMES FOR A COURSECOURSE

    E-Print Network [OSTI]

    Rock, Chris

    for a course, it is a good idea to think broadly. Course-level expected learning outcomes do not need to focus will know). Be sure to include learning outcomes that describe what the student can do and who they are2424 WRITING EXPECTED LEARNING OUTCOMES FOR AWRITING EXPECTED LEARNING OUTCOMES FOR A COURSECOURSE

  5. Learning physics in context: a study of student learning about electricity and magnetism

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    re-centres the discussion of student learning in physics to focus on context. In order to do soLearning physics in context: a study of student learning about electricity and magnetism This paper and inextricable role of context in student learning. This work sits within a broader effort to create and analyze

  6. Developing Program Learning Outcomes Page 1 DevelopingProgramLearningOutcomes

    E-Print Network [OSTI]

    Dyer, Bill

    ..." you help ensure that the focus is on student learning and abilities. These are not student learning, 2011, R. W. Larsen Student learning outcomes (SLOs) can be written for a course, a program, or an institution. This document focuses specifically on learning outcomes for programs (e.g., degree programs

  7. FUNDAMENTAL PARAMETERS AND CHEMICAL COMPOSITION OF ARCTURUS

    SciTech Connect (OSTI)

    Ramirez, I. [Observatories of the Carnegie Institution for Science, 813 Santa Barbara Street, Pasadena, CA 91101 (United States); Allende Prieto, C., E-mail: ivan@obs.carnegiescience.edu, E-mail: callende@iac.es [Instituto de Astrofisica de Canarias, 38205 La Laguna, Tenerife (Spain)

    2011-12-20

    We derive a self-consistent set of atmospheric parameters and abundances of 17 elements for the red giant star Arcturus: T{sub eff} = 4286 {+-} 30 K, log g = 1.66 {+-} 0.05, and [Fe/H] = -0.52 {+-} 0.04. The effective temperature was determined using model atmosphere fits to the observed spectral energy distribution from the blue to the mid-infrared (0.44 to 10 {mu}m). The surface gravity was calculated using the trigonometric parallax of the star and stellar evolution models. A differential abundance analysis relative to the solar spectrum allowed us to derive iron abundances from equivalent width measurements of 37 Fe I and 9 Fe II lines, unblended in the spectra of both Arcturus and the Sun; the [Fe/H] value adopted is derived from Fe I lines. We also determine the mass, radius, and age of Arcturus: M = 1.08 {+-} 0.06 M{sub Sun }, R = 25.4 {+-} 0.2 R{sub Sun }, and {tau} = 7.1{sup +1.5}{sub -1.2} Gyr. Finally, abundances of the following elements are measured from an equivalent width analysis of atomic features: C, O, Na, Mg, Al, Si, K, Ca, Sc, Ti, V, Cr, Mn, Co, Ni, and Zn. We find the chemical composition of Arcturus typical of that of a local thick-disk star, consistent with its kinematics.

  8. Transparency parameters from relativistically expanding outflows

    SciTech Connect (OSTI)

    Bégué, D. [University of Roma "Sapienza," I-00185, p.le A. Moro 5, Rome (Italy); Iyyani, S. [Department of Physics, KTH Royal Institute of Technology, AlbaNova University Center, SE-106 91 Stockholm (Sweden)

    2014-09-01

    In many gamma-ray bursts a distinct blackbody spectral component is present, which is attributed to the emission from the photosphere of a relativistically expanding plasma. The properties of this component (temperature and flux) can be linked to the properties of the outflow and have been presented in the case where there is no sub-photospheric dissipation and the photosphere is in coasting phase. First, we present the derivation of the properties of the outflow for finite winds, including when the photosphere is in the accelerating phase. Second, we study the effect of localized sub-photospheric dissipation on the estimation of the parameters. Finally, we apply our results to GRB 090902B. We find that during the first epoch of this burst the photosphere is most likely to be in the accelerating phase, leading to smaller values of the Lorentz factor than the ones previously estimated. For the second epoch, we find that the photosphere is likely to be in the coasting phase.

  9. PHYSICAL PARAMETERS OF STANDARD AND BLOWOUT JETS

    SciTech Connect (OSTI)

    Pucci, Stefano; Romoli, Marco; Poletto, Giannina; Sterling, Alphonse C.

    2013-10-10

    The X-ray Telescope on board the Hinode mission revealed the occurrence, in polar coronal holes, of much more numerous jets than previously indicated by the Yohkoh/Soft X-ray Telescope. These plasma ejections can be of two types, depending on whether they fit the standard reconnection scenario for coronal jets or if they include a blowout-like eruption. In this work, we analyze two jets, one standard and one blowout, that have been observed by the Hinode and STEREO experiments. We aim to infer differences in the physical parameters that correspond to the different morphologies of the events. To this end, we adopt spectroscopic techniques and determine the profiles of the plasma temperature, density, and outflow speed versus time and position along the jets. The blowout jet has a higher outflow speed, a marginally higher temperature, and is rooted in a stronger magnetic field region than the standard event. Our data provide evidence for recursively occurring reconnection episodes within both the standard and the blowout jet, pointing either to bursty reconnection or to reconnection occurring at different locations over the jet lifetimes. We make a crude estimate of the energy budget of the two jets and show how energy is partitioned among different forms. Also, we show that the magnetic energy that feeds the blowout jet is a factor of 10 higher than the magnetic energy that fuels the standard event.

  10. Engaging Faculty With Rethinking Learning and Teaching With Technology

    E-Print Network [OSTI]

    Szmolyan, Peter

    for student learning'. (within the lecture as well as out of class ) Shift the focus from `how do I teach this student learning - educational implications ­ `learning time' / `learning space' During this presentation Online or face to face ? #12;"Learning is not a spectator sport. Students do not learn much just

  11. Bayesian Inference for Time Trends in Parameter Values: Case Study for the Ageing PSA Network of the European Commission

    SciTech Connect (OSTI)

    Dana L. Kelly; Albert Malkhasyan

    2010-06-01

    There is a nearly ubiquitous assumption in PSA that parameter values are at least piecewise-constant in time. As a result, Bayesian inference tends to incorporate many years of plant operation, over which there have been significant changes in plant operational and maintenance practices, plant management, etc. These changes can cause significant changes in parameter values over time; however, failure to perform Bayesian inference in the proper time-dependent framework can mask these changes. Failure to question the assumption of constant parameter values, and failure to perform Bayesian inference in the proper time-dependent framework were noted as important issues in NUREG/CR-6813, performed for the U. S. Nuclear Regulatory Commission’s Advisory Committee on Reactor Safeguards in 2003. That report noted that “industry lacks tools to perform time-trend analysis with Bayesian updating.” This paper describes an application of time-dependent Bayesian inference methods developed for the European Commission Ageing PSA Network. These methods utilize open-source software, implementing Markov chain Monte Carlo sampling. The paper also illustrates the development of a generic prior distribution, which incorporates multiple sources of generic data via weighting factors that address differences in key influences, such as vendor, component boundaries, conditions of the operating environment, etc.

  12. Learning-Theoretic Methods in Vector Quantization

    E-Print Network [OSTI]

    Linder, Tamás

    Learning L. Gy¨orfi, editor, CISM Lecture Notes, Wien, New York: Springer 2001. Tam´as Linder Department

  13. Webinar: National Hydrogen Learning Demonstration Status

    Broader source: Energy.gov [DOE]

    Video recording and text version of the webinar, "National Hydrogen Learning Demonstration Status," originally presented on February 6, 2012.

  14. EM Recovery Act Lessons Learned (Sites)

    Broader source: Energy.gov [DOE]

    Presentation slides from EM ARRA Best Practices and Lessons Learned WorkshopWaste Management SymposiumPhoenix, AZMarch 1, 2012.

  15. EARLY ENTRANCE COPRODUCTION PLANT

    SciTech Connect (OSTI)

    Fred D. Brent; Lalit Shah; Earl Berry; Charles H. Schrader; John Anderson; J. Erwin; Matthew G. Banks; Terry L. Ullman

    2004-01-12

    The overall objective of this project is the three phase development of an Early Entrance Coproduction Plant (EECP) which uses petroleum coke to produce at least one product from at least two of the following three categories: (1) electric power (or heat), (2) fuels, and (3) chemicals using ChevronTexaco's proprietary gasification technology. The objective of Phase I is to determine the feasibility and define the concept for the EECP located at a specific site; develop a Research, Development, and Testing (RD&T) Plan to mitigate technical risks and barriers; and prepare a Preliminary Project Financing Plan. The objective of Phase II is to implement the work as outlined in the Phase I RD&T Plan to enhance the development and commercial acceptance of coproduction technology. The objective of Phase III is to develop an engineering design package and a financing and testing plan for an EECP located at a specific site. The project's intended result is to provide the necessary technical, economic, and environmental information needed by industry to move the EECP forward to detailed design, construction, and operation. The partners in this project are Texaco Energy Systems LLC or TES (a subsidiary of ChevronTexaco), General Electric (GE), Praxair, and Kellogg Brown & Root (KBR) in addition to the U.S. Department of Energy (DOE). TES is providing gasification technology and Fischer-Tropsch (F-T) technology developed by Rentech, GE is providing combustion turbine technology, Praxair is providing air separation technology, and KBR is providing engineering. Each of the EECP subsystems was assessed for technical risks and barriers. A plan was developed to mitigate the identified risks (Phase II RD&T Plan, October 2000). Phase II RD&T Task 2.6 identified as potential technical risks to the EECP the fuel/engine performance and emissions of the F-T diesel fuel products. Hydrotreating the neat F-T diesel product reduces potentially reactive olefins, oxygenates, and acids levels and alleviates corrosion and fuel stability concerns. Future coproduction plants can maximize valuable transportation diesel by hydrocracking the F-T Synthesis wax product to diesel and naphtha. The upgraded neat F-T diesel, hydrotreater F-T diesel, and hydrocracker F-T diesel products would be final blending components in transportation diesel fuel. Phase II RD&T Task 2.6 successfully carried out fuel lubricity property testing, fuel response to lubricity additives, and hot-start transient emission tests on a neat F-T diesel product, a hydrocracker F-T diesel product, a blend of hydrotreater and hydrocracker F-T diesel products, and a Tier II California Air Resources Board (CARB)-like diesel reference fuel. Only the neat F-T diesel passed lubricity inspection without additive while the remaining three fuel candidates passed with conventional additive treatment. Hot-start transient emission tests were conducted on the four fuels in accordance with the U.S. Environmental Protection Agency (EPA) Federal Test Procedure (FTP) specified in Code of Federal Regulations, Title 40, Part 86, and Subpart N on a rebuilt 1991 Detroit Diesel Corporation Series 60 heavy-duty diesel engine. Neat F-T diesel fuel reduced oxides of nitrogen (NO{sub x}), total particulate (PM), hydrocarbons (HC), carbon monoxide (CO), and the Soluble Organic Fraction (SOF) by 4.5%, 31%, 50%, 29%, and 35%, respectively, compared to the Tier II CARB-like diesel. The hydrocracker F-T diesel product and a blend of hydrocracker and hydrotreater F-T diesel products also reduced NO{sub x}, PM, HC, CO and SOF by 13%, 16% to 17%, 38% to 63%, 17% to 21% and 21% to 39% compared to the Tier II CARB-like diesel. The fuel/engine performance and emissions of the three F-T diesel fuels exceed the performance of a Tier II CARB-like diesel. Phase II RD&T Task 2.6 successfully met the lubricity property testing and F-T diesel fuel hot-start transient emissions test objectives. The results of the testing help mitigate potential economic risks on obtaining a premium price for the F-T diesel fuel

  16. Assessment of operating parameter variation on electrostatic precipitator performance 

    E-Print Network [OSTI]

    Gunn, Roam Anthony

    1974-01-01

    , and the treatment and disposal of collected materials such as flyash from coal-fired power generating plants. ~Ca ital ~Char es. Capital charges general'ly include the costs incurred from property taxes, insurance premiums on plant facilities and other.... Summary of field results of SO flyash conditioning. 5. Sulfur conditioning of flyash 6. Sodium conditioning of flyash 7. Gallatin steam plant economic data 8. Precipitator related costs, 1960 to 1969 26 27 29 35 36 9. Overall costs...

  17. Henry and Fred Learn about Lead

    E-Print Network [OSTI]

    Holsinger, Kent

    Henry and Fred Learn about Lead Joan Bothell Activity book #12;Henry and Fred Learn about Lead the children's storybook Henry and Fred Learn about Lead/Enrique y Federico aprenden sobre el plomo (2003 of this activity book. The Henry and Fred storybook is about keeping children safe from lead poisoning, a serious

  18. Learning Plan Section I: Student Data

    E-Print Network [OSTI]

    Su, Xiao

    and type of criminal activity or hazardous materials at or near the location of the learning activity, (e at the Learning Site, (g) the criminal, mental and social backgrounds of the individuals I will be working without permission the Learning Site's proprietary information, records or confidential information

  19. PUNCTUATED ANYTIME LEARNING FOR EVOLUTIONARY ROBOTICS

    E-Print Network [OSTI]

    Parker, Gary B.

    PUNCTUATED ANYTIME LEARNING FOR EVOLUTIONARY ROBOTICS GARY B. PARKER and KAREN J. LAROCHELLE­line on a simple model while periodic checks on the actual robot help to improve the learning system's output. We discuss this concept by learning gaits for a hexapod robot, which is modeled after the ServoBot. We use

  20. PUNCTUATED ANYTIME LEARNING FOR EVOLUTIONARY ROBOTICS

    E-Print Network [OSTI]

    Parker, Gary B.

    PUNCTUATED ANYTIME LEARNING FOR EVOLUTIONARY ROBOTICS GARY B. PARKER and KAREN J. LAROCHELLE-line on a simple model while periodic checks on the actual robot help to improve the learning system's output. We discuss this concept by learning gaits for a hexapod robot, which is modeled after the ServoBot. We use

  1. Embedding Learning Strategies into the Curriculum

    E-Print Network [OSTI]

    Northern British Columbia, University of

    Embedding Learning Strategies into the Curriculum VI VI AN FA YOWSKI BRENDA KOLLER Academic Success can you embed learning strategies into the curriculum? Use your syllabus Build time management skills learning strategies into the curriculum? 2. Tie the textbook to effective note-taking · "Walk through

  2. Learning Artistic Lighting Template from Portrait Photographs

    E-Print Network [OSTI]

    Zhu, Song Chun

    Learning Artistic Lighting Template from Portrait Photographs Xin Jin1 , Mingtian Zhao2,3 , Xiaowu artistic portrait lighting template from a dataset of artistic and daily portrait photographs. The learned aesthetic quality assess- ment of these photographs in lighting usage. For learning the template, we adopt

  3. Service-Learning & Student Civic Engagement

    E-Print Network [OSTI]

    Service-Learning & Student Civic Engagement: Journeys toward Discovery, Contribution & Civic is service-learning? Intentional student engagement that combines community service with academic instruction and/or co-curricular learning that is focused on critical, reflective thinking and civic

  4. Spring 2012 Mobile Learning Scholars Assessment Report

    E-Print Network [OSTI]

    Barrash, Warren

    is an immersive semester of exploration focused on leveraging mobile learning strategies to achieve course goals and on student learning. During the Spring 2012 semester, two cohorts of faculty were supported. Each faculty of the experience was assessed in the following ways: a) students enrolled in these mLearning courses were surveyed

  5. Neural Plasticity of Development and Learning

    E-Print Network [OSTI]

    Gabrieli, John

    Neural Plasticity of Development and Learning Galvan, 2010 Presented by Kristen Morin and Sunil Patel I. Defining Development and Learning II. Neural Plasticity III. Progressive and Regressive Changes with Learning IV. Plasticity of Developmental Timing V. Neural Mechanism- Same or Different? VI. Methodological

  6. ARTIFICIAL INTELLIGENCE Learning to see and act

    E-Print Network [OSTI]

    Meeden, Lisa A.

    ARTIFICIAL INTELLIGENCE Learning to see and act An artificial-intelligence system uses machine to process large amounts of data have led to progress in many areas of science, not least artificial intelligence (AI). With advances in machine learning has come the development of machines that can learn

  7. Environmental Restoration Disposal Facility Lessons Learned

    SciTech Connect (OSTI)

    Caulfield, R.

    2012-07-12

    The purpose of lessons learned is to identify insight gained during a project – successes or failures – that can be applied on future projects. Lessons learned can contribute to the overall success of a project by building on approaches that have worked well and avoiding previous mistakes. Below are examples of lessons learned during ERDF’s ARRA-funded expansion project.

  8. LANGUAGE LEARNING AND NONLINEAR DYNAMICAL SYSTEMS

    E-Print Network [OSTI]

    Andrews, Mark W.

    LANGUAGE LEARNING AND NONLINEAR DYNAMICAL SYSTEMS A Dissertation Presented to the Faculty LEARNING AND NONLINEAR DYNAMICAL SYSTEMS Mark William Andrews, Ph.D. Cornell University 2003 The thesis be provided by an better appreciation of the capacities of nonlinear dynamical systems to learn, rep- resent

  9. Ecophysiology and plant size in a tropical epiphytic fern, Asplenium nidus, in Taiwan

    E-Print Network [OSTI]

    Martin, Craig E.; Lin, Teng-Chiu; Hsu, Chia-Chin; Lin, Shin-Hwei; Lin, Kuo-Chuan; Hsia, Yue-Joe; Chiou, Wen-Liang

    2004-01-01

    lost water at lower rates in laboratory drying experiments. Although rates of net CO2 exchange of the fronds measured in situ in the field appeared to increase with plant size, this increase and other size-related differences in gas exchange parameters...

  10. Plant and Soil 250: 155165, 2003. 2003 Kluwer Academic Publishers. Printed in the Netherlands.

    E-Print Network [OSTI]

    van Kessel, Chris

    Plant and Soil 250: 155­165, 2003. © 2003 Kluwer Academic Publishers. Printed in the Netherlands. 155 NIR and DRIFT-MIR spectrometry of soils for predicting soil and crop parameters in a flooded field, near infrared, PLS regression, rice, soil fertility Abstract The increasing popularity of site

  11. SOW and Key Performance Parameters (KPP) Handbook Final Version...

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

    SOW and Key Performance Parameters (KPP) Handbook Final Version 9-30-2014 SOW and Key Performance Parameters (KPP) Handbook Final Version 9-30-2014 This handbook provides suggested...

  12. Adaptive Distributed Parameter and Input Estimation in Plasma Tokamak Heat

    E-Print Network [OSTI]

    Boyer, Edmond

    . Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation, adaptive infinite-dimensional estimation, Galerkin method 1. INTRODUCTION In a controlled thermonuclear fusion reactor, the plasma thermal diffusivity and heating energy play an important role

  13. Comparison of Options for a Pilot Plant Fusion Nuclear Mission

    SciTech Connect (OSTI)

    Brown, T; Goldston, R J; El-Guebaly, L; Kessel, C; Neilson, G H; Malang, S; Menard, J E; Prager, S; Waganer, L; Titus, P

    2012-08-27

    A fusion pilot plant study was initiated to clarify the development needs in moving from ITER to a first of a kind fusion power plant, following a path similar to the approach adopted for the commercialization of fission. The pilot plant mission encompassed component test and fusion nuclear science missions plus the requirement to produce net electricity with high availability in a device designed to be prototypical of the commercial device. Three magnetic configuration options were developed around this mission: the advanced tokamak (AT), spherical tokamak (ST) and compact stellarator (CS). With the completion of the study and separate documentation of each design option a question can now be posed; how do the different designs compare with each other as candidates for meeting the pilot plant mission? In a pro/con format this paper will examine the key arguments for and against the AT, ST and CS magnetic configurations. Key topics addressed include: plasma parameters, device configurations, size and weight comparisons, diagnostic issues, maintenance schemes, availability influences and possible test cell arrangement schemes.

  14. Neural network recognition of nuclear power plant transients

    SciTech Connect (OSTI)

    Bartlett, E.B.; Danofsky, R.; Adams, J.; AlJundi, T.; Basu, A.; Dhanwada, C.; Kerr, J.; Kim, K.; Lanc, T.

    1993-02-23

    The objective of this report is to describe results obtained during the first year of funding that will lead to the development of an artificial neural network (ANN) fault - diagnostic system for the real - time classification of operational transients at nuclear power plants. The ultimate goal of this three-year project is to design, build, and test a prototype diagnostic adviser for use in the control room or technical support center at Duane Arnold Energy Center (DAEC); such a prototype could be integrated into the plant process computer or safety - parameter display system. The adviser could then warn and inform plant operators and engineers of plant component failures in a timely manner. This report describes the work accomplished in the first of three scheduled years for the project. Included herein is a summary of the first year's results as, well as individual descriptions of each of the major topics undertaken by the researchers. Also included are reprints of the articles written under this funding as well as those that were published during the funded period.

  15. Pilot Plant Options for the MFE Roadmap

    E-Print Network [OSTI]

    Pilot Plant Options for the MFE Roadmap Hutch Neilson Princeton Plasma Physics Laboratory International Workshop MFE Roadmapping for the ITER Era Princeton, NJ 10 September 2011 #12;Outline 2 · Pilot plant ­ mission, motivation, and description. · Role of pilot plants on the Roadmap to Demo. Pilot Plant

  16. Fate of Radionuclides in Wastewater Treatment Plants

    E-Print Network [OSTI]

    Shabani Samgh Abadi, Farzaneh

    2013-01-01

    nuclear facility accident was the 2011 Fukushima Daiichi power plant accident in Japan, following the tsunami.

  17. Plant Pathology 290 Graduate Seminar Series

    E-Print Network [OSTI]

    Ishida, Yuko

    Plant Pathology 290 Graduate Seminar Series Fall 2014 CRN: 57411 Mondays 9:00-10:00am 115 Hutchison Storer Seminar Speaker Professor, Plant Pathology University of Wisconsin-Madison Multi-gene copy number Detection of plant diseases by smell. October 27 Jeremy Warren, PhD Candidate, Plant Pathology Exit Seminar

  18. Biochemical Conversion Pilot Plant (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-06-01

    This fact sheet provides information about Biochemical Conversion Pilot Plant capabilities and resources at NREL.

  19. Method of identifying plant pathogen tolerance

    DOE Patents [OSTI]

    Ecker, Joseph R. (Erial, NJ); Staskawicz, Brian J. (Castro Valley, CA); Bent, Andrew F. (Piedmont, CA); Innes, Roger W. (Bloomington, IN)

    1997-10-07

    A process for identifying a plant having disease tolerance comprising administering to a plant an inhibitory amount of ethylene and screening for ethylene insensitivity, thereby identifying a disease tolerant plant, is described. Plants identified by the foregoing process are also described.

  20. Method of identifying plant pathogen tolerance

    DOE Patents [OSTI]

    Ecker, J.R.; Staskawicz, B.J.; Bent, A.F.; Innes, R.W.

    1997-10-07

    A process for identifying a plant having disease tolerance comprising administering to a plant an inhibitory amount of ethylene and screening for ethylene insensitivity, thereby identifying a disease tolerant plant, is described. Plants identified by the foregoing process are also described. 7 figs.

  1. Fate of Radionuclides in Wastewater Treatment Plants

    E-Print Network [OSTI]

    Shabani Samgh Abadi, Farzaneh

    2013-01-01

    by Aerobic Treatment. Journal (Water Pollution ControlWastewater Treatment Plants. Journal (Water Pollution

  2. Waste Treatment Plant - 12508

    SciTech Connect (OSTI)

    Harp, Benton; Olds, Erik

    2012-07-01

    The Waste Treatment Plant (WTP) will immobilize millions of gallons of Hanford's tank waste into solid glass using a proven technology called vitrification. The vitrification process will turn the waste into a stable glass form that is safe for long-term storage. Our discussion of the WTP will include a description of the ongoing design and construction of this large, complex, first-of-a-kind project. The concept for the operation of the WTP is to separate high-level and low-activity waste fractions, and immobilize those fractions in glass using vitrification. The WTP includes four major nuclear facilities and various support facilities. Waste from the Tank Farms is first pumped to the Pretreatment Facility at the WTP through an underground pipe-in-pipe system. When construction is complete, the Pretreatment Facility will be 12 stories high, 540 feet long and 215 feet wide, making it the largest of the four major nuclear facilities that compose the WTP. The total size of this facility will be more than 490,000 square feet. More than 8.2 million craft hours are required to construct this facility. Currently, the Pretreatment Facility is 51 percent complete. At the Pretreatment Facility the waste is pumped to the interior waste feed receipt vessels. Each of these four vessels is 55-feet tall and has a 375,000 gallon capacity, which makes them the largest vessels inside the Pretreatment Facility. These vessels contain a series of internal pulse-jet mixers to keep incoming waste properly mixed. The vessels are inside the black-cell areas, completely enclosed behind thick steel-laced, high strength concrete walls. The black cells are designed to be maintenance free with no moving parts. Once hot operations commence the black-cell area will be inaccessible. Surrounded by black cells, is the 'hot cell canyon'. The hot cell contains all the moving and replaceable components to remove solids and extract liquids. In this area, there is ultrafiltration equipment, cesium-ion exchange columns, evaporator boilers and recirculation pumps, and various mechanical process pumps for transferring process fluids. During the first phase of pretreatment, the waste will be concentrated using an evaporation process. Solids will be filtered out, and the remaining soluble, highly radioactive isotopes will be removed using an ion-exchange process. The high-level solids will be sent to the High-Level Waste (HLW) Vitrification Facility, and the low activity liquids will be sent to the Low-Activity Waste (LAW) Vitrification Facility for further processing. The high-level waste will be transferred via underground pipes to the HLW Facility from the Pretreatment Facility. The waste first arrives at the wet cell, which rests inside a black-cell area. The pretreated waste is transferred through shielded pipes into a series of melter preparation and feed vessels before reaching the melters. Liquids from various facility processes also return to the wet cell for interim storage before recycling back to the Pretreatment Facility. (authors)

  3. EARLY ENTRANCE COPRODUCTION PLANT

    SciTech Connect (OSTI)

    Abdalla H. Ali; Raj Kamarthi; John H. Anderson; Earl R. Berry; Charles H. Schrader; Lalit S. Shah

    2003-04-16

    The overall objective of this project is the three phase development of an Early Entrance Coproduction Plant (EECP) which produces at least one product from at least two of the following three categories: (1) electric power (or heat), (2) fuels, and (3) chemicals using ChevronTexaco's proprietary gasification technology. The objective of Phase I is to determine the feasibility and define the concept for the EECP located at a specific site; develop a Research, Development, and Testing (RD&T) Plan to mitigate technical risks and barriers; and prepare a Preliminary Project Financing Plan. The objective of Phase II is to implement the work as outlined in the Phase I RD&T Plan to enhance the development and commercial acceptance of coproduction technology. The objective of Phase III is to develop an engineering design package and a financing and testing plan for an EECP located at a specific site. The project's intended result is to provide the necessary technical, economic, and environmental information needed by industry to move the EECP forward to detailed design, construction, and operation. The partners in this project are TES (a subsidiary of ChevronTexaco), General Electric (GE), Praxair, and Kellogg Brown & Root (KBR) in addition to the U.S. Department of Energy (DOE). TES is providing gasification technology and Fischer-Tropsch (F-T) technology developed by Rentech, GE is providing combustion turbine technology, Praxair is providing air separation technology, and KBR is providing engineering. During Phase I the team identified the integration of the water produced in the F-T synthesis section with the gasification section as an area of potential synergy. By utilizing the F-T water in the petroleum coke slurry for the gasifier, the EECP can eliminate a potential waste stream and reduce capital costs. There is a low technical risk for this synergy, however, the economic risk, particularly in regards to the water, can be high. The economic costs include the costs of treating the water to meet the locally applicable environmental standards. This option may require expensive chemicals and treatment facilities. EECP Phase II included tests conducted to confirm the viability of integrating F-T water in the slurry feed for the gasifier. Testing conducted at ChevronTexaco's Montebello Technology Center (MTC) included preparing slurries made using petroleum coke with F-T water collected at the LaPorte Alternative Fuels Development Unit (AFDU). The work included bench scale tests to determine the slurry ability of the petroleum coke and F-T water. The results of the tests show that F-T water does not adversely affect slurries for the gasifier. There are a few cases where in fact the addition of F-T water caused favorable changes in viscosity of the slurries. This RD&T task was executed in Phase II and results are reported herein.

  4. Expression of multiple proteins in transgenic plants

    DOE Patents [OSTI]

    Vierstra, Richard D. (Madison, WI); Walker, Joseph M. (Madison, WI)

    2002-01-01

    A method is disclosed for the production of multiple proteins in transgenic plants. A DNA construct for introduction into plants includes a provision to express a fusion protein of two proteins of interest joined by a linking domain including plant ubiquitin. When the fusion protein is produced in the cells of a transgenic plant transformed with the DNA construction, native enzymes present in plant cells cleave the fusion protein to release both proteins of interest into the cells of the transgenic plant. Since the proteins are produced from the same fusion protein, the initial quantities of the proteins in the cells of the plant are approximately equal.

  5. The Water Circuit of the Plants - Do Plants have Hearts ?

    E-Print Network [OSTI]

    Wolfgang Kundt; Eva Gruber

    2006-03-17

    There is a correspondence between the circulation of blood in all higher animals and the circulation of sap in all higher plants - up to heights h of 140 m - through the xylem and phloem vessels. Plants suck in water from the soil, osmotically through the roothair zone, and subsequently lift it osmotically again, and by capillary suction (via their buds, leaves, and fruits) into their crowns. In between happens a reverse osmosis - the endodermis jump - realized by two layers of subcellular mechanical pumps in the endodermis walls which are powered by ATP, or in addition by two analogous layers of such pumps in the exodermis. The thus established root pressure helps forcing the absorbed ground water upward, through the whole plant, and often out again, in the form of guttation, or exudation.

  6. Initial Activation Assessment for ARIES Compact Stellarator Power Plant

    SciTech Connect (OSTI)

    El-Guebaly, L.; Wilson, P.; Paige, D. [University of Wisconsin, Fusion Technology Institute (United States)] (and others)

    2005-04-15

    As the safety assessment frequently requires knowledge of the activation parameters, we estimated the highest possible activity, decay heat, and waste disposal rating on the time scale after shutdown for the compact stellarator power plant ARIES-CS. We selected two widely different systems employing SiC/SiC composites and low-activation ferritic steel (FS) as structural materials. Our results show that components of both systems qualify as Class C low-level waste (LLW) at the end of a 100 y storage period following the decommissioning of the plant. The SiC blanket, vacuum vessel, and magnet offer very low waste disposal rating to the extent that a Class A LLW seems achievable for these components. On this last point, we discussed the split between the Class A and Class C wastes, emphasizing our motivation to lower the level of ARIES-CS radioactive waste.

  7. Comparative risk analysis for the Rocky Flats Plant integrated project planning

    SciTech Connect (OSTI)

    Jones, M.E.; Shain, D.I.

    1994-05-01

    The Rocky Flats Plant is developing, with active stakeholder a comprehensive planning strategy that will support transition of the Rocky Flats Plant from a nuclear weapons production facility to site cleanup and final disposition. Final disposition of the Rocky Flats Plant materials and contaminants requires consideration of the interrelated nature of sitewide problems, such as material movement and disposition, facility and land use endstates, costs relative risks to workers and the public, and waste disposition. Comparative Risk Analysis employs both incremental risk and cumulative risk evaluations to compare risks from postulated options or endstates. These postulated options or endstates can be various remedial alternatives, or future endstate uses of federal agency land. Currently, there does not exist any approved methodology that aggregates various incremental risk estimates. Comparative Risk Analysis has been developed to aggregate various incremental risk estimates to develop a site cumulative risk estimate. This paper discusses development of the Comparative Risk Analysis methodology, stakeholder participation and lessons learned from these challenges.

  8. *Supported by the Visiting Scholar Foundation of Shanxi Province P. R. China1 A Fuzzy Neural Network Based on the TS Model with Dynamic Consequent Parameters and its

    E-Print Network [OSTI]

    Lin, Tsau Young

    control system of superheated steam temperature in power plants. The approach is simulated in MATLAB neural-network, TS model, Cascade control, Superheated steam temperature 1. Introduction There are two Network Based on the TS Model with Dynamic Consequent Parameters and its Application to Steam Temperature

  9. Plants having modified response to ethylene

    DOE Patents [OSTI]

    Meyerowitz, E.M.; Chang, C.; Bleecker, A.B.

    1997-11-18

    The invention includes transformed plants having at least one cell transformed with a modified ETR nucleic acid. Such plants have a phenotype characterized by a decrease in the response of at least one transformed plant cell to ethylene as compared to a plant not containing the transformed plant cell. Tissue and/or temporal specificity for expression of the modified ETR nucleic acid is controlled by selecting appropriate expression regulation sequences to target the location and/or time of expression of the transformed nucleic acid. The plants are made by transforming at least one plant cell with an appropriate modified ETR nucleic acid, regenerating plants from one or more of the transformed plant cells and selecting at least one plant having the desired phenotype. 31 figs.

  10. Plants having modified response to ethylene

    DOE Patents [OSTI]

    Meyerowitz, Elliot M. (Pasadena, CA); Chang, Caren (Pasadena, CA); Bleecker, Anthony B. (Madison, WI)

    1998-01-01

    The invention includes transformed plants having at least one cell transformed with a modified ETR nucleic acid. Such plants have a phenotype characterized by a decrease in the response of at least one transformed plant cell to ethylene as compared to a plant not containing the transformed plant cell. Tissue and/or temporal specificity for expression of the modified ETR nucleic acid is controlled by selecting appropriate expression regulation sequences to target the location and/or time of expression of the transformed nucleic acid. The plants are made by transforming at least one plant cell with an appropriate modified ETR nucleic acid, regenerating plants from one or more of the transformed plant cells and selecting at least one plant having the desired phenotype.

  11. Plants having modified response to ethylene

    DOE Patents [OSTI]

    Meyerowitz, Elliott M. (Pasadena, CA); Chang, Caren (Pasadena, CA); Bleecker, Anthony B. (Madison, WI)

    1997-01-01

    The invention includes transformed plants having at least one cell transformed with a modified ETR nucleic acid. Such plants have a phenotype characterized by a decrease in the response of at least one transformed plant cell to ethylene as compared to a plant not containing the transformed plant cell. Tissue and/or temporal specificity for expression of the modified ETR nucleic acid is controlled by selecting appropriate expression regulation sequences to target the location and/or time of expression of the transformed nucleic acid. The plants are made by transforming at least one plant cell with an appropriate modified ETR nucleic acid, regenerating plants from one or more of the transformed plant cells and selecting at least one plant having the desired phenotype.

  12. Plants having modified response to ethylene

    DOE Patents [OSTI]

    Meyerowitz, E.M.; Chang, C.; Bleecker, A.B.

    1998-10-20

    The invention includes transformed plants having at least one cell transformed with a modified ETR nucleic acid. Such plants have a phenotype characterized by a decrease in the response of at least one transformed plant cell to ethylene as compared to a plant not containing the transformed plant cell. Tissue and/or temporal specificity for expression of the modified ETR nucleic acid is controlled by selecting appropriate expression regulation sequences to target the location and/or time of expression of the transformed nucleic acid. The plants are made by transforming at least one plant cell with an appropriate modified ETR nucleic acid, regenerating plants from one or more of the transformed plant cells and selecting at least one plant having the desired phenotype. 67 figs.

  13. OPTIMIZATION OF STELLARATOR REACTOR PARAMETERS J. F. Lyon1

    E-Print Network [OSTI]

    OPTIMIZATION OF STELLARATOR REACTOR PARAMETERS J. F. Lyon1 , L.P. Ku2 , P. Garabedian3 , L. El-average) approach for optimizing the main reactor parameters allows study of the relationship between global developed to optimize the main reactor parameters (, the average magnetic field on axis , etc

  14. INNOVATIVE CONCEPTS FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION

    E-Print Network [OSTI]

    INNOVATIVE CONCEPTS FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION by Elias Kyriakides FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION by Elias Kyriakides has been approved December ABSTRACT A method to identify synchronous generator parameters from on-line measurements is presented

  15. Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion

    E-Print Network [OSTI]

    Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion J. Rico G. T. Heydt A an alternative to estimate armature circuit parameters of large utility generators using real time operating data of digital fault recorder data to identify synchronous machine parameters. 1. INTRODUCTION The use orthogonal

  16. Feudal Reinforcement Learning Peter Dayan

    E-Print Network [OSTI]

    Dayan, Peter

    Feudal Reinforcement Learning Peter Dayan CNL The Salk Institute PO Box 85800 San Diego CA 92186-grid division of the space in which the agent moves, and section 4 draws some conclusions. 2 FEUDAL CONTROL We sought to build a system that mirrored the hierarchical aspects of a feudal fief- dom, since this is one

  17. Reputational Learning and Network Dynamics

    E-Print Network [OSTI]

    Zhang, Simpson

    2015-01-01

    In many real world networks agents are initially unsure of each other's qualities and learn about each other over time via repeated interactions. This paper is the first to provide a methodology for studying the formation of such networks, taking into account that agents differ from each other, that they begin with incomplete information, and that they must learn through observations which connections/links to form and which to break. The network dynamics in our model vary drastically from the dynamics emerging in models of complete information. With incomplete information and learning, agents who provide high benefits will develop high reputations and remain in the network, while agents who provide low benefits will drop in reputation and become ostracized. We show, among many other things, that the information to which agents have access and the speed at which they learn and act can have tremendous impact on the resulting network dynamics. Using our model, we can also compute the \\textit{ex ante} social wel...

  18. Climate risk Learning from practice

    E-Print Network [OSTI]

    Smerdon, Jason E.

    Climate risk management in Africa: Learning from practice ClimateandSocietyNo.1 #12;The Climate and Society series is devoted to providing authoritative and accessible information on climate risk management of the International Research Institute for Climate and Society (IRI). IRI aims to contribute to sustainable living

  19. Accelerated learning approaches for maintenance training

    SciTech Connect (OSTI)

    Erickson, E.J.

    1991-01-01

    As a training tool, Accelerated Learning techniques have been in use since 1956. Trainers from a variety of applications and disciplines have found success in using Accelerated Learning approaches, such as training aids, positive affirmations, memory aids, room arrangement, color patterns, and music. Some have thought that maintenance training and Accelerated Learning have nothing in common. Recent training applications by industry and education of Accelerated Learning are proving very successful by several standards. This paper cites available resource examples and challenges maintenance trainers to adopt new ideas and concepts to accelerate learning in all training setting. 7 refs.

  20. NRES 725 PLANT PHYSIOLOGICAL ECOLOGY Reading List Water Balance of Plants

    E-Print Network [OSTI]

    Nowak, Robert S.

    1 NRES 725 ­ PLANT PHYSIOLOGICAL ECOLOGY Fall 2008 Reading List ­ Water Balance of Plants I) Water Balance of Plants A) Water potential B) Soil, plant, air continuum C) Physiological control 1) Roots-256 *Steudle (01) Ann Rev Plant Phy Mol Biol 52:847-875 Kirkham (05) pp 207-216 Kramer & Boyer (95) pp 115

  1. NUCLEAR POWER PLANT Nuclear power plants have safety and security procedures in place and

    E-Print Network [OSTI]

    NUCLEAR POWER PLANT ACCIDENTS Nuclear power plants have safety and security procedures in place and are closely monitored by the Nuclear Regulatory Commission (NRC). An accident at a nuclear power plant could of nuclear power plant accidents? Radioactive materials in the plume from the nuclear power plant can settle

  2. ADVANCED HYDROGEN TRANSPORT MEMBRANES FOR VISION 21 FOSSIL FUEL PLANTS

    SciTech Connect (OSTI)

    Carl R. Evenson; Anthony F. Sammells; Richard T. Treglio; Jim Fisher; U. Balachandran; Richard N. Kleiner; James E. Stephan; Frank E. Anderson; Chandra Ratnasamy; Mahendra Sunkara; Jyothish Thangla; Clive Brereton; Warren Wolfs; James Lockhart

    2005-01-28

    During this quarter work was continued on characterizing the stability of layered composite membranes under a variety of conditions. Membrane permeation was tested up to 100 hours at constant pressure, temperature, and flow rates. In addition, design parameters were completed for a scale-up hydrogen separation demonstration unit. Evaluation of microstructure and effect of hydrogen exposure on BCY/Ni cermet mechanical properties was initiated. The fabrication of new cermets containing high permeability metals is reported and progress in the preparation of sulfur resistant catalysts is discussed. Finally, a report entitled ''Criteria for Incorporating Eltron's Hydrogen Separation Membranes into Vision 21 IGCC Systems and FutureGen Plants'' was completed.

  3. Evaluation of plant life extension modifications; A condenser retubing example

    SciTech Connect (OSTI)

    Lula, J.J.; Kostyk, D.A.; Franceschinis, R.D. (Fluor Daniel, Inc., Chicago, IL (US))

    1989-01-01

    An integral part of plant life extension programs is the development of an implementation plan for the modifications identified during the study phase. A systematic approach for evaluating these modifications and making timing decisions is needed. A methodology must be used to identify and quantify important factors and assign economic parameters to these factors to provide a common basis for an overall evaluation. The development of a cash flow schedule from this analysis provides the technique for quantifying the total value of a modification and also can be used to determine the effect of installation timing. To illustrate this evaluation methodology, a condenser retubing example is presented.

  4. Parameter extraction from I-V characteristics of PV devices

    SciTech Connect (OSTI)

    Macabebe, Erees Queen B.; Sheppard, Charles J.; Dyk, E. Ernest van

    2011-01-15

    Device parameters such as series and shunt resistances, saturation current and diode ideality factor influence the behaviour of the current-voltage (I-V) characteristics of solar cells and photovoltaic modules. It is necessary to determine these parameters since performance parameters are derived from the I-V curve and information provided by the device parameters are useful in analyzing performance losses. This contribution presents device parameters of CuIn(Se,S){sub 2}- and Cu(In,Ga)(Se,S){sub 2}-based solar cells, as well as, CuInSe{sub 2}, mono- and multicrystalline silicon modules determined using a parameter extraction routine that employs Particle Swarm Optimization. The device parameters of the CuIn(Se,S){sub 2}- and Cu(In,Ga)(Se,S){sub 2}-based solar cells show that the contribution of recombination mechanisms exhibited by high saturation current when coupled with the effects of parasitic resistances result in lower maximum power and conversion efficiency. Device parameters of photovoltaic modules extracted from I-V characteristics obtained at higher temperature show increased saturation current. The extracted values also reflect the adverse effect of temperature on parasitic resistances. The parameters extracted from I-V curves offer an understanding of the different mechanisms involved in the operation of the devices. The parameter extraction routine utilized in this study is a useful tool in determining the device parameters which reveal the mechanisms affecting device performance. (author)

  5. Systems approach used in the Gas Centrifuge Enrichment Plant

    SciTech Connect (OSTI)

    Rooks, W.A. Jr.

    1982-01-01

    A requirement exists for effective and efficient transfer of technical knowledge from the design engineering team to the production work force. Performance-Based Training (PBT) is a systematic approach to the design, development, and implementation of technical training. This approach has been successfully used by the US Armed Forces, industry, and other organizations. The advantages of the PBT approach are: cost-effectiveness (lowest life-cycle training cost), learning effectiveness, reduced implementation time, and ease of administration. The PBT process comprises five distinctive and rigorous phases: Analysis of Job Performance, Design of Instructional Strategy, Development of Training Materials and Instructional Media, Validation of Materials and Media, and Implementation of the Instructional Program. Examples from the Gas Centrifuge Enrichment Plant (GCEP) are used to illustrate the application of PBT.

  6. Water Filtration Using Plant Xylem

    E-Print Network [OSTI]

    Lee, Jongho; Chambers, Valerie; Venkatesh, Varsha; Karnik, Rohit

    2013-01-01

    Effective point-of-use devices for providing safe drinking water are urgently needed to reduce the global burden of waterborne disease. Here we show that plant xylem from the sapwood of coniferous trees - a readily available, inexpensive, biodegradable, and disposable material - can remove bacteria from water by simple pressure-driven filtration. Approximately 3 cm3 of sapwood can filter water at the rate of several liters per day, sufficient to meet the clean drinking water needs of one person. The results demonstrate the potential of plant xylem to address the need for pathogen-free drinking water in developing countries and resource-limited settings.

  7. Automating An Industrial Power Plant 

    E-Print Network [OSTI]

    Williams, D. R.; McCowen, R. R.

    1987-01-01

    ,OOO/year. The upgrading process began with a search for a design/ build contractor that could provide complete turn key capability, beginning with a site survey and ending with operator acceptanoe. The contractor was selected through. a group...ATING AN INDUSTRIAL POWER PLANT DAVID R. WILLIAMS, P.E. Energy Coordi?nator John Deere Component Works Waterloo, Iowa ABSTRACT The need for an upgrade of boiler and turbine controls in the 15 MW coal-fired cogeneration plant at the John Deere Component Works...

  8. PLANT DIAGNOSTIC LABORATORY The Plant Diagnostic Laboratory is a

    E-Print Network [OSTI]

    Goodman, Robert M.

    Lilac - Fungus and Mold Identification Green - Plant Identification Gray - Nematode Soil Assay 2 Identification · Fungus and Mold Identification · Nematode Assays · Acremonium Endophyte Screening · Fungicide Resistance Screening · Other Services Available by Contract Take the NJ Turnpike to Exit 9. Take Rt. 18 North

  9. Learning Scene Categories from High Resolution Satellite Image for Aerial Video Analysis

    SciTech Connect (OSTI)

    Cheriyadat, Anil M

    2011-01-01

    Automatic scene categorization can benefit various aerial video processing applications. This paper addresses the problem of predicting the scene category from aerial video frames using a prior model learned from satellite imagery. We show that local and global features in the form of line statistics and 2-D power spectrum parameters respectively can characterize the aerial scene well. The line feature statistics and spatial frequency parameters are useful cues to distinguish between different urban scene categories. We learn the scene prediction model from highresolution satellite imagery to test the model on the Columbus Surrogate Unmanned Aerial Vehicle (CSUAV) dataset ollected by high-altitude wide area UAV sensor platform. e compare the proposed features with the popular Scale nvariant Feature Transform (SIFT) features. Our experimental results show that proposed approach outperforms te SIFT model when the training and testing are conducted n disparate data sources.

  10. Thermodynamics -2 A cogeneration plant (plant which provides both electricity and thermal energy) executes a cycle

    E-Print Network [OSTI]

    Virginia Tech

    Thermodynamics - 2 A cogeneration plant (plant which provides both electricity and thermal energy] Determine the rate of heat addition in the steam generator. Now consider an ideal, reversible cogeneration 1 2 3 45 6 Cogeneration Plant Boundary #12;

  11. Use of artificial intelligence to enhance the safety of nuclear power plants

    SciTech Connect (OSTI)

    Uhrig, R.E.

    1988-01-01

    In the operation of a nuclear power plant, the sheer magnitude of the number of process parameters and systems interactions poses difficulties for the operators, particularly during abnormal or emergency situations. Recovery from an upset situation depends upon the facility with which the available raw data can be converted into and assimilated as meaningful knowledge. Plant personnel are sometimes affected by stress and emotion, which may have varying degrees of influence on their performance. Expert systems can take some of the uncertainty and guesswork out of their decisions by providing expert advice and rapid access to a large information base. Application of artificial intelligence technologies, particularly expert systems, to control room activities in a nuclear power plant has the potential to reduce operator error and improve power plant safety and reliability. 12 refs.

  12. English language learners' reading self-efficacy and achievement using 1:1 mobile learning devices

    E-Print Network [OSTI]

    Walters, Jennifer L.

    2012-01-01

    when mobile learning devices and mobile learning tasks areinteraction with mobile devices and services. SpringerTechnology Learning Devices Mobile learning devices afford

  13. PUREX/UO{sub 3} facilities deactivation lessons learned history

    SciTech Connect (OSTI)

    Hamrick, D.G.; Gerber, M.S.

    1995-01-01

    The Plutonium-Uranium Extraction (PUREX) Facility operated from 1956-1972, from 1983-1988, and briefly during 1989-1990 to produce for national defense at the Hanford Site in Washington State. The Uranium Trioxide (UO{sub 3}) Facility operated at the Hanford Site from 1952-1972, 1984-1988, and briefly in 1993. Both plants were ordered to permanent shutdown by the U.S. Department of Energy (DOE) in December 1992, thus initiating their deactivation phase. Deactivation is that portion of a facility`s life cycle that occurs between operations and final decontamination and decommissioning (D&D). This document details the history of events, and the lessons learned, from the time of the PUREX Stabilization Campaign in 1989-1990, through the end of the first full fiscal year (FY) of the deactivation project (September 30, 1994).

  14. Methodology for Scaling Fusion Power Plant Availability

    SciTech Connect (OSTI)

    Lester M. Waganer

    2011-01-04

    Normally in the U.S. fusion power plant conceptual design studies, the development of the plant availability and the plant capital and operating costs makes the implicit assumption that the plant is a 10th of a kind fusion power plant. This is in keeping with the DOE guidelines published in the 1970s, the PNL report1, "Fusion Reactor Design Studies - Standard Accounts for Cost Estimates. This assumption specifically defines the level of the industry and technology maturity and eliminates the need to define the necessary research and development efforts and costs to construct a one of a kind or the first of a kind power plant. It also assumes all the "teething" problems have been solved and the plant can operate in the manner intended. The plant availability analysis assumes all maintenance actions have been refined and optimized by the operation of the prior nine or so plants. The actions are defined to be as quick and efficient as possible. This study will present a methodology to enable estimation of the availability of the one of a kind (one OAK) plant or first of a kind (1st OAK) plant. To clarify, one of the OAK facilities might be the pilot plant or the demo plant that is prototypical of the next generation power plant, but it is not a full-scale fusion power plant with all fully validated "mature" subsystems. The first OAK facility is truly the first commercial plant of a common design that represents the next generation plant design. However, its subsystems, maintenance equipment and procedures will continue to be refined to achieve the goals for the 10th OAK power plant.

  15. The System 80+ Standard Plant design control document. Volume 17

    SciTech Connect (OSTI)

    1997-12-31

    This Design Control Document (DCD) is a repository of information comprising the System 80+{trademark} Standard Plant Design. The DCD also provides that design-related information to be incorporated by reference in the design certification rule for the System 80+ Standard Plant Design. Applicants for a combined license pursuant to 10 CFR 52 must ensure that the final Design Certification Rule and the associated Statements of Consideration are used when making all licensing decisions relevant to the System 80+ Standard Plant Design. The Design Control Document contains the DCD introduction, The Certified Design Material (CDM) [i.e., ``Tier 1``] and the Approved Design Material (ADM) [i.e., ``Tier 2``] for the System 80+ Standard Plant Design. The CDM includes the following sections: (1) Introductory material; (2) Certified Design Material for System 80+ systems and structures; (3) Certified Design Material for non-system-based aspects of the System 80+ Certified design; (4) Interface requirements; and (5) Site parameters. The ADM, to the extent applicable for the System 80+ Standard Plant Design, includes: (1) the information required for the final safety analysis report under 20 CFR 50.34; (2) other relevant information required by 10 CFR 52.47; and (3) emergency operations guidelines. This volume contains parts 2-7 and appendix 15A for section 15 (Accident Analysis) of the ADM Design and Analysis. Topics covered in these parts are: decrease in heat removal; decrease in RCS flow rate; power distribution anomalies; increase in RCS inventory; decrease in RCS inventory; release of radioactive materials. The appendix covers radiological release models. Also contained here are five technical specifications for section 16 (Technical Specifications) of the ADM Design and Analysis. They are: TS 1.0 Use and Applications; TS 2.0 Safety Limits; TS 3.0 LCO Availability; TS 3.1 Reactivity Control; and TS 3.2 Power Distribution.

  16. (Recovery of coal fines from preparation plant effluents)

    SciTech Connect (OSTI)

    Choudhry, V. (Praxis Engineers, Inc., Milpitas, CA (USA)); Khan, L. (Illinois State Geological Survey, Champaign, IL (USA)); Yang, D. (Michigan Technological Univ., Houghton, MI (USA))

    1991-01-01

    The objectives of this project are to test and demonstrate the feasibility of recovering coal fines which are currently disposed of with plant effluent streams, in order to produce a fine clean coal product. This product can then be blended with the coarse clean coal from the preparation plant. Recovery of coal from the effluent stream samples will be effected by means of Michigan Technological University's static tube flotation process. This process has been successfully demonstrated on a number of raw coals to reject 85% of the pyritic sulfur and recover 90% of the combustible matter. The process parameters will be modified so that this technology can be applied to preparation plant effluents in order to recover a low-ash, low-sulfur clean coal that is, at a minimum, compatible with the quality of the clean coal currently produced from the preparation plant. The main activities during this period were setting up the static tube test unit to conduct the experimental work as outlined in the project work plan. The first of four effluent slurry samples collected from four operating Illinois preparation plants was tested at Michigan Technological University. The first batch of tests resulted in a clean coal containing 7.5% ash at 94.5% combustible matter recovery. Another test aimed at lowering the ash further analyzed at 3.0% ash and 0.92% total sulfur. In addition, analyses of particle size distribution and sink-float testing of the +200 mesh material were undertaken as a part of the effluent characterization work. 5 tabs.

  17. Efficient Cosmological Parameter Estimation from Microwave Background Anisotropies

    E-Print Network [OSTI]

    Arthur Kosowsky; Milos Milosavljevic; Raul Jimenez

    2002-06-02

    We revisit the issue of cosmological parameter estimation in light of current and upcoming high-precision measurements of the cosmic microwave background power spectrum. Physical quantities which determine the power spectrum are reviewed, and their connection to familiar cosmological parameters is explicated. We present a set of physical parameters, analytic functions of the usual cosmological parameters, upon which the microwave background power spectrum depends linearly (or with some other simple dependence) over a wide range of parameter values. With such a set of parameters, microwave background power spectra can be estimated with high accuracy and negligible computational effort, vastly increasing the efficiency of cosmological parameter error determination. The techniques presented here allow calculation of microwave background power spectra $10^5$ times faster than comparably accurate direct codes (after precomputing a handful of power spectra). We discuss various issues of parameter estimation, including parameter degeneracies, numerical precision, mapping between physical and cosmological parameters, and systematic errors, and illustrate these considerations with an idealized model of the MAP experiment.

  18. Disease Management in Organic Plantings

    E-Print Network [OSTI]

    Isaacs, Rufus

    cooling or proper drying · Clean harvesting and processing equipment · Control insects that may createGard (Gliocladium virens) Blight Ban (Pseudomonas fluorescens) PlantShield (Trichoderma harzianum) Agri Antibiotics for control of bacterial diseases #12;Effect of Trichoderma hamatum (T382) in potting mix

  19. AQUATIC PLANT CONTROL RESEARCH PROGRAM

    E-Print Network [OSTI]

    US Army Corps of Engineers

    . PERSONAL AUTHOR(S) Twillev Robert R.· 1301. TYPE OF REPORT Barko John W. r3b. TIME COVERED r4. DATE. Plants were grown in microcosms (1.2 m ) under ambient photoperiod adjusted to 50 and 8 percent of solar radiation. The culture solution in five pairs of tanks was gradually adjusted to salinities of 0, 2, 4, 6

  20. Soil-to-Plant Concentration Ratios for Assessing Food Chain Pathways in Biosphere Models

    SciTech Connect (OSTI)

    Napier, Bruce A.; Fellows, Robert J.; Krupka, Kenneth M.

    2007-10-01

    This report describes work performed for the U.S. Nuclear Regulatory Commission’s project Assessment of Food Chain Pathway Parameters in Biosphere Models, which was established to assess and evaluate a number of key parameters used in the food-chain models used in performance assessments of radioactive waste disposal facilities. Section 2 of this report summarizes characteristics of samples of soils and groundwater from three geographical regions of the United States, the Southeast, Northwest, and Southwest, and analyses performed to characterize their physical and chemical properties. Because the uptake and behavior of radionuclides in plant roots, plant leaves, and animal products depends on the chemistry of the water and soil coming in contact with plants and animals, water and soil samples collected from these regions of the United States were used in experiments at Pacific Northwest National Laboratory to determine radionuclide soil-to-plant concentration ratios. Crops and forage used in the experiments were grown in the soils, and long-lived radionuclides introduced into the groundwater provide the contaminated water used to water the grown plants. The radionuclides evaluated include 99Tc, 238Pu, and 241Am. Plant varieties include alfalfa, corn, onion, and potato. The radionuclide uptake results from this research study show how regional variations in water quality and soil chemistry affect radionuclide uptake. Section 3 summarizes the procedures and results of the uptake experiments, and relates the soil-to-plant uptake factors derived. In Section 4, the results found in this study are compared with similar values found in the biosphere modeling literature; the study’s results are generally in line with current literature, but soil- and plant-specific differences are noticeable. This food-chain pathway data may be used by the NRC staff to assess dose to persons in the reference biosphere (e.g., persons who live and work in an area potentially affected by radionuclide releases) of waste disposal facilities and decommissioning sites.