National Library of Energy BETA

Sample records for input output variable

  1. Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs

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

    Smallwood, David O.

    2007-01-01

    A linear structure is excited at multiple points with a stationary normal random process. The response of the structure is measured at multiple outputs. If the autospectral densities of the inputs are specified, the phase relationships between the inputs are derived that will minimize or maximize the trace of the autospectral density matrix of the outputs. If the autospectral densities of the outputs are specified, the phase relationships between the outputs that will minimize or maximize the trace of the input autospectral density matrix are derived. It is shown that other phase relationships and ordinary coherence less than one willmore » result in a trace intermediate between these extremes. Least favorable response and some classes of critical response are special cases of the development. It is shown that the derivation for stationary random waveforms can also be applied to nonstationary random, transients, and deterministic waveforms.« less

  2. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S.

    1981-01-01

    A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

  3. PV output variability modeling using satellite imagery.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Ellis, Abraham; Reno, Matthew J.

    2010-11-01

    High frequency irradiance variability measured on the ground is caused by the formation, dissipation, and passage of clouds in the sky. If we can identify and associate different cloud types/patterns from satellite imagery, we may be able to predict irradiance variability in areas lacking sensors. With satellite imagery covering the entire U.S., this allows for more accurate integration planning and power flow modeling over wide areas. Satellite imagery from southern Nevada was analyzed at 15 minute intervals over a year. Methods for image stabilization, cloud detection, and textural classification of clouds were developed and tested. High Performance Computing parallel processing algorithms were also investigated and tested. Artificial Neural Networks using imagery as inputs were trained on ground-based measurements of irradiance to model the variability and were tested to show some promise as a means for predicting irradiance variability.

  4. Hydromechanical transmission with two planetary assemblies that are clutchable to both the input and output shafts

    DOE Patents [OSTI]

    Orshansky, Jr., deceased, Elias; Weseloh, William E.

    1979-01-01

    A power transmission having two planetary assemblies, each having its own carrier and its own planet, sun, and ring gears. A speed-varying module is connected in driving relation to the input shaft and in driving relationship to the two sun gears, which are connected together. The speed-varying means may comprise a pair of hydraulic units hydraulically interconnected so that one serves as a pump while the other serves as a motor and vice versa, one of the units having a variable stroke and being connected in driving relation to the input shaft, the other unit, which may have a fixed stroke, being connected in driving relation to the sun gears. A brake grounds the first carrier in the first range and in reverse and causes drive to be delivered to the output shaft through the first ring gear in a hydrostatic mode, the first ring gear being rigidly connected to the output shaft. The input shaft also is clutchable to either the carrier or the ring gear of the second planetary assembly. The output shaft is also clutchable to the carrier of the second planetary assembly when the input is clutched to the ring gear of the second planetary assembly, and is clutchable to the ring gear of the second planetary assembly when the input is clutched to the carrier thereof.

  5. Water Power Calculator Temperature and Analog Input/Output Module Ambient Temperature Testing

    SciTech Connect (OSTI)

    Mark D. McKay

    2011-02-01

    Water Power Calculator Temperature and Analog input/output Module Ambient Temperature Testing A series of three ambient temperature tests were conducted for the Water Power Calculator development using the INL Calibration Laboratorys Tenney Environmental Chamber. The ambient temperature test results demonstrate that the Moore Industries Temperature Input Modules, Analog Input Module and Analog Output Module, ambient temperature response meet or exceed the manufactures specifications

  6. Input-output model for MACCS nuclear accident impacts estimation¹

    SciTech Connect (OSTI)

    Outkin, Alexander V.; Bixler, Nathan E.; Vargas, Vanessa N

    2015-01-27

    Since the original economic model for MACCS was developed, better quality economic data (as well as the tools to gather and process it) and better computational capabilities have become available. The update of the economic impacts component of the MACCS legacy model will provide improved estimates of business disruptions through the use of Input-Output based economic impact estimation. This paper presents an updated MACCS model, bases on Input-Output methodology, in which economic impacts are calculated using the Regional Economic Accounting analysis tool (REAcct) created at Sandia National Laboratories. This new GDP-based model allows quick and consistent estimation of gross domestic product (GDP) losses due to nuclear power plant accidents. This paper outlines the steps taken to combine the REAcct Input-Output-based model with the MACCS code, describes the GDP loss calculation, and discusses the parameters and modeling assumptions necessary for the estimation of long-term effects of nuclear power plant accidents.

  7. Using Economic Input/Output Tables to Predict a Countrys Nuclear Status

    SciTech Connect (OSTI)

    Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

    2010-07-15

    Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nations efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a countrys or regions economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industrys output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.

  8. The effect of output-input isolation on the scaling and energy consumption of all-spin logic devices

    SciTech Connect (OSTI)

    Hu, Jiaxi; Haratipour, Nazila; Koester, Steven J.

    2015-05-07

    All-spin logic (ASL) is a novel approach for digital logic applications wherein spin is used as the state variable instead of charge. One of the challenges in realizing a practical ASL system is the need to ensure non-reciprocity, meaning the information flows from input to output, not vice versa. One approach described previously, is to introduce an asymmetric ground contact, and while this approach was shown to be effective, it remains unclear as to the optimal approach for achieving non-reciprocity in ASL. In this study, we quantitatively analyze techniques to achieve non-reciprocity in ASL devices, and we specifically compare the effect of using asymmetric ground position and dipole-coupled output/input isolation. For this analysis, we simulate the switching dynamics of multiple-stage logic devices with FePt and FePd perpendicular magnetic anisotropy materials using a combination of a matrix-based spin circuit model coupled to the Landau–Lifshitz–Gilbert equation. The dipole field is included in this model and can act as both a desirable means of coupling magnets and a source of noise. The dynamic energy consumption has been calculated for these schemes, as a function of input/output magnet separation, and the results show that using a scheme that electrically isolates logic stages produces superior non-reciprocity, thus allowing both improved scaling and reduced energy consumption.

  9. Methods to Register Models and Input/Output Parameters for Integrated Modeling

    SciTech Connect (OSTI)

    Droppo, James G.; Whelan, Gene; Tryby, Michael E.; Pelton, Mitchell A.; Taira, Randal Y.; Dorow, Kevin E.

    2010-07-10

    Significant resources can be required when constructing integrated modeling systems. In a typical application, components (e.g., models and databases) created by different developers are assimilated, requiring the framework’s functionality to bridge the gap between the user’s knowledge of the components being linked. The framework, therefore, needs the capability to assimilate a wide range of model-specific input/output requirements as well as their associated assumptions and constraints. The process of assimilating such disparate components into an integrated modeling framework varies in complexity and difficulty. Several factors influence the relative ease of assimilating components, including, but not limited to, familiarity with the components being assimilated, familiarity with the framework and its tools that support the assimilation process, level of documentation associated with the components and the framework, and design structure of the components and framework. This initial effort reviews different approaches for assimilating models and their model-specific input/output requirements: 1) modifying component models to directly communicate with the framework (i.e., through an Application Programming Interface), 2) developing model-specific external wrappers such that no component model modifications are required, 3) using parsing tools to visually map pre-existing input/output files, and 4) describing and linking models as dynamic link libraries. Most of these approaches are illustrated using the widely distributed modeling system called Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES). The review concludes that each has its strengths and weakness, the factors that determine which approaches work best in a given application.

  10. Input-output relations at dispersing and absorbing planar multilayers for the quantized electromagnetic field containing evanescent components

    SciTech Connect (OSTI)

    Khanbekyan, Mikayel; Knoell, Ludwig; Welsch, Dirk-Gunnar

    2003-06-01

    By using the Green-function concept of quantization of the electromagnetic field in dispersing and absorbing media, the quantized field in the presence of a dispersing and absorbing dielectric multilayer plate is studied. Three-dimensional input-output relations are derived for both amplitude operators in the k space and the field operators in the coordinate space. The conditions are discussed, under which the input-output relations can be expressed in terms of bosonic operators. The theory applies to both (effectively) free fields and fields, created by active atomic sources inside and/or outside the plate, including also evanescent-field components.

  11. US-CERT Control System Center Input/Output (I/O) Conceputal Design

    SciTech Connect (OSTI)

    Not Available

    2005-02-01

    This document was prepared for the US-CERT Control Systems Center of the National Cyber Security Division (NCSD) of the Department of Homeland Security (DHS). DHS has been tasked under the Homeland Security Act of 2002 to coordinate the overall national effort to enhance the protection of the national critical infrastructure. Homeland Security Presidential Directive HSPD-7 directs the federal departments to identify and prioritize critical infrastructure and protect it from terrorist attack. The US-CERT National Strategy for Control Systems Security was prepared by the NCSD to address the control system security component addressed in the National Strategy to Secure Cyberspace and the National Strategy for the Physical Protection of Critical Infrastructures and Key Assets. The US-CERT National Strategy for Control Systems Security identified five high-level strategic goals for improving cyber security of control systems; the I/O upgrade described in this document supports these goals. The vulnerability assessment Test Bed, located in the Information Operations Research Center (IORC) facility at Idaho National Laboratory (INL), consists of a cyber test facility integrated with multiple test beds that simulate the nation's critical infrastructure. The fundamental mission of the Test Bed is to provide industry owner/operators, system vendors, and multi-agency partners of the INL National Security Division a platform for vulnerability assessments of control systems. The Input/Output (I/O) upgrade to the Test Bed (see Work Package 3.1 of the FY-05 Annual Work Plan) will provide for the expansion of assessment capabilities within the IORC facility. It will also provide capabilities to connect test beds within the Test Range and other Laboratory resources. This will allow real time I/O data input and communication channels for full replications of control systems (Process Control Systems [PCS], Supervisory Control and Data Acquisition Systems [SCADA], and components). This will be accomplished through the design and implementation of a modular infrastructure of control system, communications, networking, computing and associated equipment, and measurement/control devices. The architecture upgrade will provide a flexible patching system providing a quick ''plug and play''configuration through various communication paths to gain access to live I/O running over specific protocols. This will allow for in-depth assessments of control systems in a true-to-life environment. The full I/O upgrade will be completed through a two-phased approach. Phase I, funded by DHS, expands the capabilities of the Test Bed by developing an operational control system in two functional areas, the Science & Technology Applications Research (STAR) Facility and the expansion of various portions of the Test Bed. Phase II (see Appendix A), funded by other programs, will complete the full I/O upgrade to the facility.

  12. Update to industrial drivers in the AEO2015 as a result of new input-output data

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

    Update to industrial drivers in the AEO2015 as a result of new input-output data Elizabeth Sendich May 4, 2015 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES April 2015 Elizabeth Sendich | U.S. Energy

  13. Ota City : characterizing output variability from 553 homes with residential PV systems on a distribution feeder.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Miyamoto, Yusuke; Nakashima, Eichi; Lave, Matthew

    2011-11-01

    This report describes in-depth analysis of photovoltaic (PV) output variability in a high-penetration residential PV installation in the Pal Town neighborhood of Ota City, Japan. Pal Town is a unique test bed of high-penetration PV deployment. A total of 553 homes (approximately 80% of the neighborhood) have grid-connected PV totaling over 2 MW, and all are on a common distribution line. Power output at each house and irradiance at several locations were measured once per second in 2006 and 2007. Analysis of the Ota City data allowed for detailed characterization of distributed PV output variability and a better understanding of how variability scales spatially and temporally. For a highly variable test day, extreme power ramp rates (defined as the 99th percentile) were found to initially decrease with an increase in the number of houses at all timescales, but the reduction became negligible after a certain number of houses. Wavelet analysis resolved the variability reduction due to geographic diversity at various timescales, and the effect of geographic smoothing was found to be much more significant at shorter timescales.

  14. Combining Multiple-Module Output Boundary Conditions to Produce a Single-Input-Module Boundary Condition in FRAMES

    SciTech Connect (OSTI)

    Whelan, Gene; Castleton, Karl J.; Buck, John W.; Taira, Randal Y.; Gelston, Gariann M.; Strenge, Dennis L.

    2006-10-03

    The Plus Operator thus provides a mechanism to group modules of similar output so that the output can be combined and supplied to downstream modules. This document provides requirements, the design, data-file specifications, the test plan, and the quality assurance/quality control (QA/QC) protocol for the Plus Operator.

  15. Hydromechanical transmission with three simple planetary assemblies, one sun gear being mounted on the output shaft and the other two on a common shaft connected to an input-driven hydraulic module

    DOE Patents [OSTI]

    Orshansky, Jr., deceased, Elias; Weseloh, William E.

    1978-01-01

    A power transmission having three simple planetary assemblies, each having its own carrier and its own planet, sun, and ring gears. A speed-varying module is connected in driving relation to the input shaft and in driving relationship to the sun gears of the first two planetary assemblies, these two sun gears being connected together on a common shaft. The speed-varying means may comprise a pair of hydraulic units hydraulically interconnected so that one serves as a pump while the other serves as a motor and vice versa, one of the units having a variable stroke and being connected in driving relation to the input shaft, the other unit, which may have a fixed stroke, being connected in driving relation to the sun gears. The input shaft is also connected to drive the second ring gear and, furthermore is clutchable to the carrier of the third planetary assembly. A brake grounds the first carrier in the first range and in reverse and causes drive to be delivered to the output through the first ring gear in a hydrostatic mode. The carrier of the second planetary assembly drives the ring gear of the third planetary assembly, which is clutchable to the output shaft, and the sun gear of the third planetary assembly is mounted rigidly to the output shaft.

  16. Method and apparatus for smart battery charging including a plurality of controllers each monitoring input variables

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.

    2013-10-15

    A method for managing the charging and discharging of batteries wherein at least one battery is connected to a battery charger, the battery charger is connected to a power supply. A plurality of controllers in communication with one and another are provided, each of the controllers monitoring a subset of input variables. A set of charging constraints may then generated for each controller as a function of the subset of input variables. A set of objectives for each controller may also be generated. A preferred charge rate for each controller is generated as a function of either the set of objectives, the charging constraints, or both, using an algorithm that accounts for each of the preferred charge rates for each of the controllers and/or that does not violate any of the charging constraints. A current flow between the battery and the battery charger is then provided at the actual charge rate.

  17. Revenue Requirements Modeling System (RRMS) documentation. Volume I. Methodology description and user's guide. Appendix A: model abstract; Appendix B: technical appendix; Appendix C: sample input and output. [Compustat

    SciTech Connect (OSTI)

    Not Available

    1986-03-01

    The Revenue Requirements Modeling System (RRMS) is a utility specific financial modeling system used by the Energy Information Administration (EIA) to evaluate the impact on electric utilities of changes in the regulatory, economic, and tax environments. Included in the RRMS is a power plant life-cycle revenue requirements model designed to assess the comparative economic advantage of alternative generating plant. This report is Volume I of a 2-volume set and provides a methodology description and user's guide, a model abstract and technical appendix, and sample input and output for the models. Volume II provides an operator's manual and a program maintenance guide.

  18. Examining the Variability of Wind Power Output in the Regulation Time Frame: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Shedd, S.; Florita, A.

    2012-08-01

    This work examines the distribution of changes in wind power for different time scales in the regulation time frame as well as the correlation of changes in power output for individual wind turbines in a wind plant.

  19. Variable gas spring for matching power output from FPSE to load of refrigerant compressor

    DOE Patents [OSTI]

    Chen, Gong; Beale, William T.

    1990-01-01

    The power output of a free piston Stirling engine is matched to a gas compressor which it drives and its stroke amplitude is made relatively constant as a function of power by connecting a gas spring to the drive linkage from the engine to the compressor. The gas spring is connected to the compressor through a passageway in which a valve is interposed. The valve is linked to the drive linkage so it is opened when the stroke amplitude exceeds a selected limit. This allows compressed gas to enter the spring, increase its spring constant, thus opposing stroke increase and reducing the phase lead of the displacer ahead of the piston to reduce power output and match it to a reduced load power demand.

  20. Variable gas spring for matching power output from FPSE to load of refrigerant compressor

    DOE Patents [OSTI]

    Chen, G.; Beale, W.T.

    1990-04-03

    The power output of a free piston Stirling engine is matched to a gas compressor which it drives and its stroke amplitude is made relatively constant as a function of power by connecting a gas spring to the drive linkage from the engine to the compressor. The gas spring is connected to the compressor through a passageway in which a valve is interposed. The valve is linked to the drive linkage so it is opened when the stroke amplitude exceeds a selected limit. This allows compressed gas to enter the spring, increase its spring constant, thus opposing stroke increase and reducing the phase lead of the displacer ahead of the piston to reduce power output and match it to a reduced load power demand. 6 figs.

  1. Comparing urban solid waste recycling from the viewpoint of urban metabolism based on physical input-output model: A case of Suzhou in China

    SciTech Connect (OSTI)

    Liang Sai; Zhang Tianzhu

    2012-01-15

    Highlights: Black-Right-Pointing-Pointer Impacts of solid waste recycling on Suzhou's urban metabolism in 2015 are analyzed. Black-Right-Pointing-Pointer Sludge recycling for biogas is regarded as an accepted method. Black-Right-Pointing-Pointer Technical levels of reusing scrap tires and food wastes should be improved. Black-Right-Pointing-Pointer Other fly ash utilization methods should be exploited. Black-Right-Pointing-Pointer Secondary wastes from reusing food wastes and sludge should be concerned. - Abstract: Investigating impacts of urban solid waste recycling on urban metabolism contributes to sustainable urban solid waste management and urban sustainability. Using a physical input-output model and scenario analysis, urban metabolism of Suzhou in 2015 is predicted and impacts of four categories of solid waste recycling on urban metabolism are illustrated: scrap tire recycling, food waste recycling, fly ash recycling and sludge recycling. Sludge recycling has positive effects on reducing all material flows. Thus, sludge recycling for biogas is regarded as an accepted method. Moreover, technical levels of scrap tire recycling and food waste recycling should be improved to produce positive effects on reducing more material flows. Fly ash recycling for cement production has negative effects on reducing all material flows except solid wastes. Thus, other fly ash utilization methods should be exploited. In addition, the utilization and treatment of secondary wastes from food waste recycling and sludge recycling should be concerned.

  2. Method and allocation device for allocating pending requests for data packet transmission at a number of inputs to a number of outputs of a packet switching device in successive time slots

    DOE Patents [OSTI]

    Abel, Francois; Iliadis, Ilias; Minkenberg, Cyriel J. A.

    2009-02-03

    A method for allocating pending requests for data packet transmission at a number of inputs to a number of outputs of a switching system in successive time slots, including a matching method including the steps of providing a first request information in a first time slot indicating data packets at the inputs requesting transmission to the outputs of the switching system, performing a first step in the first time slot depending on the first request information to obtain a first matching information, providing a last request information in a last time slot successive to the first time slot, performing a last step in the last time slot depending on the last request information and depending on the first matching information to obtain a final matching information, and assigning the pending data packets at the number of inputs to the number of outputs based on the final matching information.

  3. Wind Levelized Cost of Energy: A Comparison of Technical and Financing Input Variables

    SciTech Connect (OSTI)

    Cory, K.; Schwabe, P.

    2009-10-01

    The expansion of wind power capacity in the United States has increased the demand for project development capital. In response, innovative approaches to financing wind projects have emerged and are proliferating in the U.S. renewable energy marketplace. Wind power developers and financiers have become more efficient and creative in structuring their financial relationships, and often tailor them to different investor types and objectives. As a result, two similar projects may use very different cash flows and financing arrangements, which can significantly vary the economic competitiveness of wind projects. This report assesses the relative impact of numerous financing, technical, and operating variables on the levelized cost of energy (LCOE) associated with a wind project under various financing structures in the U.S. marketplace. Under this analysis, the impacts of several financial and technical variables on the cost of wind electricity generation are first examined individually to better understand the relative importance of each. Then, analysts examine a low-cost and a high-cost financing scenario, where multiple variables are modified simultaneously. Lastly, the analysis also considers the impact of a suite of financial variables versus a suite of technical variables.

  4. AEO2014: Preliminary Industrial Output

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

    are run for the ratio of gross output (production) and demand computed from Input-Output basis * Major drivers: capacity utilization, interest rates, relative prices, ...

  5. Embedding global barrier and collective in torus network with each node combining input from receivers according to class map for output to senders

    DOE Patents [OSTI]

    Chen, Dong; Coteus, Paul W; Eisley, Noel A; Gara, Alan; Heidelberger, Philip; Senger, Robert M; Salapura, Valentina; Steinmacher-Burow, Burkhard; Sugawara, Yutaka; Takken, Todd E

    2013-08-27

    Embodiments of the invention provide a method, system and computer program product for embedding a global barrier and global interrupt network in a parallel computer system organized as a torus network. The computer system includes a multitude of nodes. In one embodiment, the method comprises taking inputs from a set of receivers of the nodes, dividing the inputs from the receivers into a plurality of classes, combining the inputs of each of the classes to obtain a result, and sending said result to a set of senders of the nodes. Embodiments of the invention provide a method, system and computer program product for embedding a collective network in a parallel computer system organized as a torus network. In one embodiment, the method comprises adding to a torus network a central collective logic to route messages among at least a group of nodes in a tree structure.

  6. System and method for cancelling the effects of stray magnetic fields from the output of a variable reluctance sensor

    DOE Patents [OSTI]

    Chen, Chingchi; Degner, Michael W.

    2002-11-19

    A sensor system for sensing a rotation of a sensing wheel is disclosed. The sensor system has a sensing coil in juxtaposition with the sensing wheel. Moreover, the sensing coil has a sensing coil output signal indicative of the rotational speed of the sensing wheel. Further, a cancellation coil is located remotely from the sensing coil and connected in series therewith. Additionally, the cancellation coil has a cancellation coil output signal indicative of an environmental disturbance which is effecting the sensing coil output signal. The cancellation coil output signal operates to cancel the effects of the environmental disturbance on the sensing coil output signal.

  7. Method and apparatus for varying accelerator beam output energy

    DOE Patents [OSTI]

    Young, Lloyd M.

    1998-01-01

    A coupled cavity accelerator (CCA) accelerates a charged particle beam with rf energy from a rf source. An input accelerating cavity receives the charged particle beam and an output accelerating cavity outputs the charged particle beam at an increased energy. Intermediate accelerating cavities connect the input and the output accelerating cavities to accelerate the charged particle beam. A plurality of tunable coupling cavities are arranged so that each one of the tunable coupling cavities respectively connect an adjacent pair of the input, output, and intermediate accelerating cavities to transfer the rf energy along the accelerating cavities. An output tunable coupling cavity can be detuned to variably change the phase of the rf energy reflected from the output coupling cavity so that regions of the accelerator can be selectively turned off when one of the intermediate tunable coupling cavities is also detuned.

  8. PV output smoothing with energy storage.

    SciTech Connect (OSTI)

    Ellis, Abraham; Schoenwald, David Alan

    2012-03-01

    This report describes an algorithm, implemented in Matlab/Simulink, designed to reduce the variability of photovoltaic (PV) power output by using a battery. The purpose of the battery is to add power to the PV output (or subtract) to smooth out the high frequency components of the PV power that that occur during periods with transient cloud shadows on the PV array. The control system is challenged with the task of reducing short-term PV output variability while avoiding overworking the battery both in terms of capacity and ramp capability. The algorithm proposed by Sandia is purposely very simple to facilitate implementation in a real-time controller. The control structure has two additional inputs to which the battery can respond. For example, the battery could respond to PV variability, load variability or area control error (ACE) or a combination of the three.

  9. SAS Output

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

    6. Useful Thermal Output by Energy Source: Industrial Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas ...

  10. SAS Output

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

    C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) ...

  11. SAS Output

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

    C. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric ...

  12. SAS Output

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

    C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Barrels) Electric Power Sector Period Total (all sectors) ...

  13. SAS Output

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

    C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) ...

  14. SAS Output

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

    C. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) ...

  15. SAS Output

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

    C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all ...

  16. Variable ratio regenerative braking device

    DOE Patents [OSTI]

    Hoppie, Lyle O.

    1981-12-15

    Disclosed is a regenerative braking device (10) for an automotive vehicle. The device includes an energy storage assembly (12) having a plurality of rubber rollers (26, 28) mounted for rotation between an input shaft (36) and an output shaft (42), clutches (38, 46) and brakes (40, 48) associated with each shaft, and a continuously variable transmission (22) connectable to a vehicle drivetrain and to the input and output shafts by the respective clutches. The rubber rollers are torsionally stressed to accumulate energy from the vehicle when the input shaft is clutched to the transmission while the brake on the output shaft is applied, and are torsionally relaxed to deliver energy to the vehicle when the output shaft is clutched to the transmission while the brake on the input shaft is applied. The transmission ratio is varied to control the rate of energy accumulation and delivery for a given rotational speed of the vehicle drivetrain.

  17. SAS Output

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

    E. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,158 0 415 5 738 2005 994 0 519 212 263 2006 1,034 0 267 549 218 2007 985 0 226 532 228 2008 552 0 271 211 70 2009 440 0 313 91 37 2010 847 0 643 174 30 2011 1,635 0 1,422 165 48 2012 1,630 0 1,441 156 32 2013 414 0 132 206 76 2014 852 88 266 326 173

  18. SAS Output

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

    4. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 39,014 5,731 2,486 239,416 18,200 17,347 3,822 326,017 2005 39,652 5,571 2,238 239,324 36,694 18,240 3,884 345,605 2006 38,133 4,812 2,253 207,095 22,567 17,284 4,435 296,579 2007 38,260 5,294 1,862 212,705 20,473 19,166 4,459 302,219 2008 37,220 5,479 1,353 204,167

  19. SAS Output

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

    5. Useful Thermal Output by Energy Source: Commercial Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 22,450 4,118 165 21,851 0 8,936 6,350 63,871 2005 22,601 3,518 166 20,227 0 8,647 5,921 61,081 2006 22,186 2,092 172 19,370 0.22 9,359 6,242 59,422 2007 22,595 1,640 221 20,040 0 6,651 3,983 55,131 2008 22,991 1,822 177 20,183 0 8,863 6,054 60,091 2009 20,057 1,095 155

  20. SAS Output

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

    B. Coal: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 24,275 0 3,809 1,540 18,926 2005 23,833 0 3,918 1,544 18,371 2006 23,227 0 3,834 1,539 17,854 2007 22,810 0 3,795 1,566 17,449 2008 22,168 0 3,689 1,652 16,827 2009 20,507 0 3,935 1,481 15,091 2010 21,727 0 3,808 1,406 16,513 2011 21,532 0 3,628 1,321 16,584

  1. SAS Output

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

    E. Coal: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 564,497 0 87,981 34,538 441,978 2005 548,666 0 88,364 34,616 425,685 2006 532,561 0 84,335 34,086 414,140 2007 521,717 0 83,838 34,690 403,189 2008 503,096 0 81,416 36,163 385,517 2009 462,674 0 90,867 32,651 339,156 2010 490,931 0 90,184 30,725 370,022 2011

  2. SAS Output

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

    F. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 20,940,247 15,610,335 4,694,565 42,789 592,559 2005 21,350,382 15,397,688 5,339,188 42,931 570,574 2006 21,059,972 15,211,077 5,250,336 41,612 556,948 2007 21,363,588 15,436,110 5,371,039 42,523 513,916 2008 21,051,706 15,189,050

  3. SAS Output

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

    B. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 20,654 0 1,501 1,203 17,951 2005 20,494 0 1,392 1,004 18,097 2006 14,077 0 1,153 559 12,365 2007 13,462 0 1,303 441 11,718 2008 7,533 0 1,311 461 5,762 2009 8,128 0 1,301 293 6,534 2010 4,866 0 1,086 212 3,567 2011 3,826 0 1,004 168 2,654 2012

  4. SAS Output

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

    E. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 124,809 0 8,592 7,219 108,997 2005 125,689 0 8,134 6,145 111,410 2006 87,137 0 6,740 3,481 76,916 2007 82,768 0 7,602 2,754 72,412 2008 45,481 0 7,644 2,786 35,051 2009 48,912 0 7,557 1,802 39,552 2010 29,243 0 6,402 1,297 21,545 2011 22,799 0 5,927

  5. SAS Output

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

    F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,156,763 651,712 358,685 11,763 134,603 2005 1,160,733 618,811 395,489 9,614 136,820 2006 546,529 335,130 112,052 5,444 93,903 2007 595,191 355,999 147,579 4,259 87,354 2008 377,848 242,379 87,460 3,743 44,266 2009 315,420

  6. SAS Output

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

    B. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,043 0 237 8 798 2005 783 0 206 8 568 2006 1,259 0 195 9 1,055 2007 1,262 0 162 11 1,090 2008 897 0 119 9 769 2009 1,007 0 126 8 873 2010 1,059 0 98 11 950 2011 1,080 0 112 6 962 2012 1,346 0 113 11 1,222 2013 1,486 0 96 11 1,379 2014 1,283 3 90 16

  7. SAS Output

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

    E. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 29,342 0 6,768 226 22,347 2005 22,224 0 5,935 228 16,061 2006 38,169 0 5,672 236 32,262 2007 38,033 0 4,710 303 33,019 2008 27,100 0 3,441 243 23,416 2009 29,974 0 3,652 213 26,109 2010 31,303 0 2,855 296 28,152 2011 31,943 0 3,244 153 28,546 2012

  8. SAS Output

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

    F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 245,389 116,086 90,747 259 38,297 2005 256,441 115,727 111,098 260 29,356 2006 246,687 102,117 98,314 269 45,987 2007 208,198 77,941 81,845 348 48,064 2008 180,034 64,843 79,856 280 35,055 2009 166,449 77,919 52,428 245 35,856

  9. SAS Output

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

    B. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,052,100 0 388,424 39,233 624,443 2005 984,340 0 384,365 34,172 565,803 2006 942,817 0 330,878 33,112 578,828 2007 872,579 0 339,796 35,987 496,796 2008 793,537 0 326,048 32,813 434,676 2009 816,787 0 305,542 41,275 469,970 2010 821,775 0 301,769

  10. SAS Output

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

    E. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,085,191 0 398,476 40,122 646,593 2005 1,008,404 0 392,842 35,037 580,525 2006 968,574 0 339,047 33,928 595,599 2007 894,272 0 347,181 36,689 510,402 2008 813,794 0 333,197 33,434 447,163 2009 836,863 0 312,553 42,032 482,279 2010 841,521 0 308,246 47,001

  11. SAS Output

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

    F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 6,912,661 1,857,247 3,749,945 73,744 1,231,725 2005 7,220,520 2,198,098 3,837,717 69,682 1,115,023 2006 7,612,500 2,546,169 3,847,644 69,401 1,149,286 2007 8,181,986 2,808,500 4,219,827 71,560 1,082,099 2008 7,900,986 2,803,283

  12. SAS Output

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

    E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,016,124 0 14,968 1,493 999,663 2005 997,331 0 19,193 1,028 977,111 2006 1,049,161 0 18,814 1,045 1,029,303 2007 982,486 0 21,435 1,756 959,296 2008 923,889 0 18,075 1,123 904,690 2009 816,285 0 19,587 1,135 795,563 2010 876,041 0 18,357

  13. SAS Output

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

    F. Wood / Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,360,258 19,973 145,216 1,661 1,193,408 2005 1,352,582 27,373 157,600 1,235 1,166,373 2006 1,399,235 27,455 154,360 1,314 1,216,106 2007 1,335,511 31,568 154,388 2,040 1,147,516 2008 1,262,675 29,150 148,198 1,410

  14. SAS Output

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

    B. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 2,174 0 735 10 1,429 2005 1,923 0 965 435 522 2006 2,051 0 525 1,094 433 2007 1,988 0 386 1,102 501 2008 1,025 0 454 433 138 2009 793 0 545 176 72 2010 1,623 0 1,195 370 58 2011 3,195 0 2,753 351 91 2012 3,189 0 2,788 340 61 2013 831 0 261 423 147

  15. SAS Output

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

    F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 70,489 5,373 60,929 2,098 2,089 2005 68,897 5,650 59,144 2,571 1,532 2006 77,004 8,287 64,217 3,937 563 2007 80,697 8,620 68,657 2,875 544 2008 94,768 10,242 81,300 2,879 346 2009 100,261 9,748 87,086 3,089 337 2010 106,681

  16. SAS Output

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

    B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 2,743 0 651 1,628 464 2005 2,719 0 623 1,536 560 2006 2,840 0 725 1,595 520 2007 2,219 0 768 1,136 315 2008 2,328 0 806 1,514 8 2009 2,426 0 823 1,466 137 2010 2,287 0 819 1,316 152 2011 2,044 0 742 1,148 154 2012 1,986 0 522 1,273 190

  17. SAS Output

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

    E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 19,991 0 4,746 12,295 2,950 2005 20,296 0 4,551 11,991 3,754 2006 21,729 0 5,347 12,654 3,728 2007 16,174 0 5,683 8,350 2,141 2008 18,272 0 6,039 12,174 59 2009 18,785 0 6,229 11,535 1,021 2010 17,502 0 6,031 10,333 1,138 2011 16,766 0

  18. SAS Output

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

    F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 161,567 3,705 129,562 25,204 3,096 2005 164,635 4,724 131,080 24,914 3,918 2006 168,716 4,078 135,127 25,618 3,893 2007 162,482 4,557 133,509 21,393 3,022 2008 166,723 4,476 136,080 26,108 59 2009 165,755 3,989

  19. SAS Output

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

    E. Other Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 30,228 0 12,055 2,627 15,547 2005 38,010 0 10,275 2,086 25,649 2006 36,966 0 8,561 2,318 26,087 2007 41,757 0 10,294 2,643 28,820 2008 41,851 0 9,674 1,542 30,635 2009 41,810 0 10,355 1,638 29,817 2010 47,153 0 8,436 1,648 37,070 2011 43,483 0

  20. SAS Output

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

    F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 49,443 2,014 21,294 6,935 19,201 2005 55,862 2,485 17,640 6,763 28,974 2006 54,693 2,611 16,348 6,755 28,980 2007 60,840 2,992 19,155 6,692 32,001 2008 66,139 3,409 22,419 5,227 35,085 2009 66,658 3,679 23,586 5,398

  1. ALGEBRA: a computer program that algebraically manipulates finite element output data. [In extended FORTRAN for CDC 7600 or CYBER 76 only

    SciTech Connect (OSTI)

    Richgels, M A; Biffle, J H

    1980-09-01

    ALGEBRA is a program that allows the user to process output data from finite-element analysis codes before they are sent to plotting routines. These data take the form of variable values (stress, strain, and velocity components, etc.) on a tape that is both the output tape from the analyses code and the input tape to ALGEBRA. The ALGEBRA code evaluates functions of these data and writes the function values on an output tape that can be used as input to plotting routines. Convenient input format and error detection capabilities aid the user in providing ALGEBRA with the functions to be evaluated. 1 figure.

  2. Compact waveguide power divider with multiple isolated outputs

    DOE Patents [OSTI]

    Moeller, Charles P. (Del Mar, CA)

    1987-01-01

    A waveguide power divider (10) for splitting electromagnetic microwave power and directionally coupling the divided power includes an input waveguide (21) and reduced height output waveguides (23) interconnected by axial slots (22) and matched loads (25) and (26) positioned at the unused ends of input and output guides (21) and (23) respectively. The axial slots are of a length such that the wave in the input waveguide (21) is directionally coupled to the output waveguides (23). The widths of input guide (21) and output guides (23) are equal and the width of axial slots (22) is one half of the width of the input guide (21).

  3. Wireless, relative-motion computer input device

    DOE Patents [OSTI]

    Holzrichter, John F.; Rosenbury, Erwin T.

    2004-05-18

    The present invention provides a system for controlling a computer display in a workspace using an input unit/output unit. A train of EM waves are sent out to flood the workspace. EM waves are reflected from the input unit/output unit. A relative distance moved information signal is created using the EM waves that are reflected from the input unit/output unit. Algorithms are used to convert the relative distance moved information signal to a display signal. The computer display is controlled in response to the display signal.

  4. Improved input and output couplers for SC acceleration structure

    SciTech Connect (OSTI)

    Solyak, N.; Gonin, I.; Latina, A.; Lunin, A.; Poloubotko, V.; Yakovlev, V.; /Fermilab

    2009-04-01

    Different couplers are described that allow the reduction of both transverse wake potential and RF kick in the SC acceleration structure of ILC. A simple rotation of the couplers reducing the RF kick and transverse wake kick is discussed for both the main linac and bunch compressors, along with possible limitations of this method. Designs of a coupler unit are presented which preserve axial symmetry of the structure, and provide reduced both the RF kick and transverse wake field.

  5. OECD Input-Output Tables | Open Energy Information

    Open Energy Info (EERE)

    714271111,00.html Country: Sweden, Finland, Japan, South Korea, Argentina, Australia, China, Israel, United Kingdom, Portugal, Romania, Greece, Poland, Slovakia, Chile, India,...

  6. Wind Power Curve Modeling Using Statistical Models: An Investigation of Atmospheric Input Variables at a Flat and Complex Terrain Wind Farm

    SciTech Connect (OSTI)

    Wharton, S.; Bulaevskaya, V.; Irons, Z.; Qualley, G.; Newman, J. F.; Miller, W. O.

    2015-09-28

    The goal of our FY15 project was to explore the use of statistical models and high-resolution atmospheric input data to develop more accurate prediction models for turbine power generation. We modeled power for two operational wind farms in two regions of the country. The first site is a 235 MW wind farm in Northern Oklahoma with 140 GE 1.68 turbines. Our second site is a 38 MW wind farm in the Altamont Pass Region of Northern California with 38 Mitsubishi 1 MW turbines. The farms are very different in topography, climatology, and turbine technology; however, both occupy high wind resource areas in the U.S. and are representative of typical wind farms found in their respective areas.

  7. Missing pulse detector for a variable frequency source

    DOE Patents [OSTI]

    Ingram, Charles B.; Lawhorn, John H.

    1979-01-01

    A missing pulse detector is provided which has the capability of monitoring a varying frequency pulse source to detect the loss of a single pulse or total loss of signal from the source. A frequency-to-current converter is used to program the output pulse width of a variable period retriggerable one-shot to maintain a pulse width slightly longer than one-half the present monitored pulse period. The retriggerable one-shot is triggered at twice the input pulse rate by employing a frequency doubler circuit connected between the one-shot input and the variable frequency source being monitored. The one-shot remains in the triggered or unstable state under normal conditions even though the source period is varying. A loss of an input pulse or single period of a fluctuating signal input will cause the one-shot to revert to its stable state, changing the output signal level to indicate a missing pulse or signal.

  8. Refiner Crude Oil Inputs

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

    Data Series: Refiner Crude Oil Inputs Refiner Gross Inputs Refiner Operable Capacity ... Download Series History Download Series History Definitions, Sources & Notes Definitions, ...

  9. Control device of an infinitely variable transmission

    SciTech Connect (OSTI)

    Tanaka, H.

    1987-01-27

    An automatic control system is described for a toric type infinitely variable transmission of a running vehicle, the speed of which is changed by varying a gear ratio corresponding to a running mode of the vehicle selected by a driver. The transmission comprises coaxially disposed input and output shafts with input and output disks having toroidal surfaces and respectively secured to the input and output shafts, a traction roller engaged with the toroidal surfaces of the disks, and a trunnion rotatably supporting the traction roller on a rotary shaft. The trunnion is linearly movable in the direction of a pivot axis which is perpendicular to the rotary shaft of the traction roller and is pivotable around the pivot axis so that the gear ratio between the input shaft and the output shaft may be changed. The control system comprises: a hydraulic cylinder receiving an axial end of the trunnion; and a hydraulic circuit connecting the hydraulic cylinder with a hydraulic source, the hydraulic circuit including a solenoid valve. The valve has means for repeatedly opening and closing the valve at predetermined intervals and controlling hydraulic supply to the hydraulic cylinder and thereby controlling the linear movement of the trunnion in the direction of the pivot axis so as to vary the gear ratio.

  10. High-frequency matrix converter with square wave input

    DOE Patents [OSTI]

    Carr, Joseph Alexander; Balda, Juan Carlos

    2015-03-31

    A device for producing an alternating current output voltage from a high-frequency, square-wave input voltage comprising, high-frequency, square-wave input a matrix converter and a control system. The matrix converter comprises a plurality of electrical switches. The high-frequency input and the matrix converter are electrically connected to each other. The control system is connected to each switch of the matrix converter. The control system is electrically connected to the input of the matrix converter. The control system is configured to operate each electrical switch of the matrix converter converting a high-frequency, square-wave input voltage across the first input port of the matrix converter and the second input port of the matrix converter to an alternating current output voltage at the output of the matrix converter.

  11. Variable frequency microwave furnace system

    DOE Patents [OSTI]

    Bible, Don W.; Lauf, Robert J.

    1994-01-01

    A variable frequency microwave furnace system (10) designed to allow modulation of the frequency of the microwaves introduced into a furnace cavity (34) for testing or other selected applications. The variable frequency microwave furnace system (10) includes a microwave signal generator (12) or microwave voltage-controlled oscillator (14) for generating a low-power microwave signal for input to the microwave furnace. A first amplifier (18) may be provided to amplify the magnitude of the signal output from the microwave signal generator (12) or the microwave voltage-controlled oscillator (14). A second amplifier (20) is provided for processing the signal output by the first amplifier (18). The second amplifier (20) outputs the microwave signal input to the furnace cavity (34). In the preferred embodiment, the second amplifier (20) is a traveling-wave tube (TWT). A power supply (22) is provided for operation of the second amplifier (20). A directional coupler (24) is provided for detecting the direction of a signal and further directing the signal depending on the detected direction. A first power meter (30) is provided for measuring the power delivered to the microwave furnace (32). A second power meter (26) detects the magnitude of reflected power. Reflected power is dissipated in the reflected power load (28).

  12. Variable frequency microwave furnace system

    DOE Patents [OSTI]

    Bible, D.W.; Lauf, R.J.

    1994-06-14

    A variable frequency microwave furnace system designed to allow modulation of the frequency of the microwaves introduced into a furnace cavity for testing or other selected applications. The variable frequency microwave furnace system includes a microwave signal generator or microwave voltage-controlled oscillator for generating a low-power microwave signal for input to the microwave furnace. A first amplifier may be provided to amplify the magnitude of the signal output from the microwave signal generator or the microwave voltage-controlled oscillator. A second amplifier is provided for processing the signal output by the first amplifier. The second amplifier outputs the microwave signal input to the furnace cavity. In the preferred embodiment, the second amplifier is a traveling-wave tube (TWT). A power supply is provided for operation of the second amplifier. A directional coupler is provided for detecting the direction of a signal and further directing the signal depending on the detected direction. A first power meter is provided for measuring the power delivered to the microwave furnace. A second power meter detects the magnitude of reflected power. Reflected power is dissipated in the reflected power load. 5 figs.

  13. Device for adapting continuously variable transmissions to infinitely variable transmissions with forward-neutral-reverse capabilities

    DOE Patents [OSTI]

    Wilkes, Donald F.; Purvis, James W.; Miller, A. Keith

    1997-01-01

    An infinitely variable transmission is capable of operating between a maximum speed in one direction and a minimum speed in an opposite direction, including a zero output angular velocity, while being supplied with energy at a constant angular velocity. Input energy is divided between a first power path carrying an orbital set of elements and a second path that includes a variable speed adjustment mechanism. The second power path also connects with the orbital set of elements in such a way as to vary the rate of angular rotation thereof. The combined effects of power from the first and second power paths are combined and delivered to an output element by the orbital element set. The transmission can be designed to operate over a preselected ratio of forward to reverse output speeds.

  14. Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant

    DOE Patents [OSTI]

    Kumar, Aditya; Shi, Ruijie; Dokucu, Mustafa

    2013-09-17

    System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.

  15. Influential input classification in probabilistic multimedia models

    SciTech Connect (OSTI)

    Maddalena, Randy L.; McKone, Thomas E.; Hsieh, Dennis P.H.; Geng, Shu

    1999-05-01

    Monte Carlo analysis is a statistical simulation method that is often used to assess and quantify the outcome variance in complex environmental fate and effects models. Total outcome variance of these models is a function of (1) the uncertainty and/or variability associated with each model input and (2) the sensitivity of the model outcome to changes in the inputs. To propagate variance through a model using Monte Carlo techniques, each variable must be assigned a probability distribution. The validity of these distributions directly influences the accuracy and reliability of the model outcome. To efficiently allocate resources for constructing distributions one should first identify the most influential set of variables in the model. Although existing sensitivity and uncertainty analysis methods can provide a relative ranking of the importance of model inputs, they fail to identify the minimum set of stochastic inputs necessary to sufficiently characterize the outcome variance. In this paper, we describe and demonstrate a novel sensitivity/uncertainty analysis method for assessing the importance of each variable in a multimedia environmental fate model. Our analyses show that for a given scenario, a relatively small number of input variables influence the central tendency of the model and an even smaller set determines the shape of the outcome distribution. For each input, the level of influence depends on the scenario under consideration. This information is useful for developing site specific models and improving our understanding of the processes that have the greatest influence on the variance in outcomes from multimedia models.

  16. Climate Model Output Rewriter

    Energy Science and Technology Software Center (OSTI)

    2004-06-21

    CMOR comprises a set of FORTRAN 90 dunctions that can be used to produce CF-compliant netCDF files. The structure of the files created by CMOR and the metadata they contain fulfill the requirements of many of the climate community’s standard model experiments (which are referred to here as "MIPS", which stands for "model intercomparison project", including, for example, AMIP, CMIP, CFMIP, PMIP, APE, and IPCC scenario runs), CMOR was not designed to serve as anmore » all-purpose wfiter of CF-compliant netCDF files, but simply to reduce the effort required to prepare and manage MIP data. Although MIPs encourage systematic analysis of results across models, this is only easy to do if the model output is written in a common format with files structured similarly and with sufficient metadata uniformly stored according to a common standard. Individual modeling groups store their data in different ways. but if a group can read its own data with FORTRAN, then it should easily be able to transform the data, using CMOR, into the common format required by the MIPs, The adoption of CMOR as a standard code for exchanging climate data will facilitate participation in MIPs because after learning how to satisfy the output requirements of one MIP, it will be easy to prepare output for the other MIPs.« less

  17. Analysis of Stochastic Response of Neural Networks with Stochastic Input

    Energy Science and Technology Software Center (OSTI)

    1996-10-10

    Software permits the user to extend capability of his/her neural network to include probablistic characteristics of input parameter. User inputs topology and weights associated with neural network along with distributional characteristics of input parameters. Network response is provided via a cumulative density function of network response variable.

  18. Off-set stabilizer for comparator output

    DOE Patents [OSTI]

    Lunsford, James S.

    1991-01-01

    A stabilized off-set voltage is input as the reference voltage to a comparator. In application to a time-interval meter, the comparator output generates a timing interval which is independent of drift in the initial voltage across the timing capacitor. A precision resistor and operational amplifier charge a capacitor to a voltage which is precisely offset from the initial voltage. The capacitance of the reference capacitor is selected so that substantially no voltage drop is obtained in the reference voltage applied to the comparator during the interval to be measured.

  19. Thermoelectric power generator for variable thermal power source

    DOE Patents [OSTI]

    Bell, Lon E; Crane, Douglas Todd

    2015-04-14

    Traditional power generation systems using thermoelectric power generators are designed to operate most efficiently for a single operating condition. The present invention provides a power generation system in which the characteristics of the thermoelectrics, the flow of the thermal power, and the operational characteristics of the power generator are monitored and controlled such that higher operation efficiencies and/or higher output powers can be maintained with variably thermal power input. Such a system is particularly beneficial in variable thermal power source systems, such as recovering power from the waste heat generated in the exhaust of combustion engines.

  20. Enhanced performance CCD output amplifier

    DOE Patents [OSTI]

    Dunham, Mark E.; Morley, David W.

    1996-01-01

    A low-noise FET amplifier is connected to amplify output charge from a che coupled device (CCD). The FET has its gate connected to the CCD in common source configuration for receiving the output charge signal from the CCD and output an intermediate signal at a drain of the FET. An intermediate amplifier is connected to the drain of the FET for receiving the intermediate signal and outputting a low-noise signal functionally related to the output charge signal from the CCD. The amplifier is preferably connected as a virtual ground to the FET drain. The inherent shunt capacitance of the FET is selected to be at least equal to the sum of the remaining capacitances.

  1. Prioritization Tool Measurement Input Form

    Broader source: Energy.gov [DOE]

    BTO encourages stakeholders to recommend updates and improvements to the Prioritization Tool by using the below Measure Input Form.

  2. Simulating solar power plant variability : a review of current methods.

    SciTech Connect (OSTI)

    Lave, Matthew; Ellis, Abraham; Stein, Joshua S.

    2013-06-01

    It is important to be able to accurately simulate the variability of solar PV power plants for grid integration studies. We aim to inform integration studies of the ease of implementation and application-specific accuracy of current PV power plant output simulation methods. This report reviews methods for producing simulated high-resolution (sub-hour or even sub-minute) PV power plant output profiles for variability studies and describes their implementation. Two steps are involved in the simulations: estimation of average irradiance over the footprint of a PV plant and conversion of average irradiance to plant power output. Six models are described for simulating plant-average irradiance based on inputs of ground-measured irradiance, satellite-derived irradiance, or proxy plant measurements. The steps for converting plant-average irradiance to plant power output are detailed to understand the contributions to plant variability. A forthcoming report will quantify the accuracy of each method using application-specific validation metrics.

  3. Message Passage Interface Input/Output (MPI-IO Test) Version 1.0

    Energy Science and Technology Software Center (OSTI)

    2005-04-08

    Although there a host of existing file system and I/O test programs available, most were not designed with parallel I/O in mind and are not useful at the scale of our clusters. Los Alamos National Lab's MPI-IO test was written with I/O and scale in mind. The MPI-IO test is built on top of MPI's I/O calls and is used to gather timing information for reading from and writing to file(s) using a variety ofmore » I/O profiles; N processes writing to N files, N processes writing to one file, N processes sending data to m processes writing to m files, or n processes sending data to m processes to one file. A data aggregation capability is available and the user can pass down MPI-IO, ROMIO and some file system specific MPI hints. By default, the MPI-IO Test will write and specific pattern to a file, close the file, open the file for read, read the data, check for data integrity and close the file. Timing information is reported for file open, close, read and write data rates, and effective bandwidths. The MPI-IO Test can be used for performance benchmarking and, in some cases, to diagnost problems with file systems or I/O networks.« less

  4. Variable Delay Element For Jitter Control In High Speed Data Links

    DOE Patents [OSTI]

    Livolsi, Robert R.

    2002-06-11

    A circuit and method for decreasing the amount of jitter present at the receiver input of high speed data links which uses a driver circuit for input from a high speed data link which comprises a logic circuit having a first section (1) which provides data latches, a second section (2) which provides a circuit generates a pre-destorted output and for compensating for level dependent jitter having an OR function element and a NOR function element each of which is coupled to two inputs and to a variable delay element as an input which provides a bi-modal delay for pulse width pre-distortion, a third section (3) which provides a muxing circuit, and a forth section (4) for clock distribution in the driver circuit. A fifth section is used for logic testing the driver circuit.

  5. Appendix A Scoping Input Appendix ...

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

    Species Act Correspondence with the U.S. Fish & Wildlife Service Appendix F Section 106 ... December 13, 2013. The following input was received during the Scoping period: * U.S. Fish ...

  6. VARIABLE TIME-INTERVAL GENERATOR

    DOE Patents [OSTI]

    Gross, J.E.

    1959-10-31

    This patent relates to a pulse generator and more particularly to a time interval generator wherein the time interval between pulses is precisely determined. The variable time generator comprises two oscillators with one having a variable frequency output and the other a fixed frequency output. A frequency divider is connected to the variable oscillator for dividing its frequency by a selected factor and a counter is used for counting the periods of the fixed oscillator occurring during a cycle of the divided frequency of the variable oscillator. This defines the period of the variable oscillator in terms of that of the fixed oscillator. A circuit is provided for selecting as a time interval a predetermined number of periods of the variable oscillator. The output of the generator consists of a first pulse produced by a trigger circuit at the start of the time interval and a second pulse marking the end of the time interval produced by the same trigger circuit.

  7. Multiple input electrode gap controller

    DOE Patents [OSTI]

    Hysinger, Christopher L.; Beaman, Joseph J.; Melgaard, David K.; Williamson, Rodney L.

    1999-01-01

    A method and apparatus for controlling vacuum arc remelting (VAR) furnaces by estimation of electrode gap based on a plurality of secondary estimates derived from furnace outputs. The estimation is preferably performed by Kalman filter. Adaptive gain techniques may be employed, as well as detection of process anomalies such as glows.

  8. Multiple input electrode gap controller

    DOE Patents [OSTI]

    Hysinger, C.L.; Beaman, J.J.; Melgaard, D.K.; Williamson, R.L.

    1999-07-27

    A method and apparatus for controlling vacuum arc remelting (VAR) furnaces by estimation of electrode gap based on a plurality of secondary estimates derived from furnace outputs. The estimation is preferably performed by Kalman filter. Adaptive gain techniques may be employed, as well as detection of process anomalies such as glows. 17 figs.

  9. Overload protection circuit for output driver

    DOE Patents [OSTI]

    Stewart, Roger G.

    1982-05-11

    A protection circuit for preventing excessive power dissipation in an output transistor whose conduction path is connected between a power terminal and an output terminal. The protection circuit includes means for sensing the application of a turn on signal to the output transistor and the voltage at the output terminal. When the turn on signal is maintained for a period of time greater than a given period without the voltage at the output terminal reaching a predetermined value, the protection circuit decreases the turn on signal to, and the current conduction through, the output transistor.

  10. Phasing surface emitting diode laser outputs into a coherent laser beam

    DOE Patents [OSTI]

    Holzrichter, John F.

    2006-10-10

    A system for generating a powerful laser beam includes a first laser element and at least one additional laser element having a rear laser mirror, an output mirror that is 100% reflective at normal incidence and <5% reflective at an input beam angle, and laser material between the rear laser mirror and the output mirror. The system includes an injector, a reference laser beam source, an amplifier and phase conjugater, and a combiner.

  11. High-output microwave detector using voltage-induced ferromagnetic resonance

    SciTech Connect (OSTI)

    Shiota, Yoichi Suzuki, Yoshishige; Miwa, Shinji; Tamaru, Shingo; Nozaki, Takayuki; Kubota, Hitoshi; Fukushima, Akio; Yuasa, Shinji

    2014-11-10

    We investigated the voltage-induced ferromagnetic resonance (FMR) with various DC bias voltage and input RF power in magnetic tunnel junctions. We found that the DC bias monotonically increases the homodyne detection voltage due to the nonlinear FMR originating in an asymmetric magnetization-potential in the free layer. In addition, the linear increase of an output voltage to the input RF power in the voltage-induced FMR is more robust than that in spin-torque FMR. These characteristics enable us to obtain an output voltage more than ten times than that of microwave detectors using spin-transfer torque.

  12. Generation Inputs Workshop June 25, 2014

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

    Inputs Workshop 25 June 2014 BPA's Centralized Wind Power Forecasting Initiative Scott Winner June 25, 2014 Generation Inputs Workshop Predecisional. For Discussion Purposes Only....

  13. Engineering microbial consortia for controllable outputs

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

    Lindemann, Stephen R.; Bernstein, Hans C.; Song, Hyun -Seob; Fredrickson, Jim K.; Fields, Matthew W.; Shou, Wenying; Johnson, David R.; Beliaev, Alexander S.

    2016-03-11

    In this study, much research has been invested into engineering microorganisms to perform desired biotransformations; nonetheless, these efforts frequently fall short of expected results due to the unforeseen effects of biofeedback regulation and functional incompatibility. In nature, metabolic function is compartmentalized into diverse organisms assembled into robust consortia, in which the division of labor is thought to lead to increased community efficiency and productivity. Here we consider whether and how consortia can be designed to perform bioprocesses of interest beyond the metabolic flexibility limitations of a single organism. Advances in post-genomic analysis of microbial consortia and application of high-resolution globalmore » measurements now offer the promise of systems-level understanding of how microbial consortia adapt to changes in environmental variables and inputs of carbon and energy. We argue that, when combined with appropriate modeling frameworks, systems-level knowledge can markedly improve our ability to predict the fate and functioning of consortia. Here we articulate our collective perspective on the current and future state of microbial community engineering and control while placing specific emphasis on ecological principles that promote control over community function and emergent properties.« less

  14. AEO2016 Preliminary Industrial Output Results

    Gasoline and Diesel Fuel Update (EIA)

    - Enhancements of the industrial output model to incorporate additional detail of chemical, glass, and paper industries. - The extension of the supply matrices allowing for ...

  15. Variable loading roller

    DOE Patents [OSTI]

    Williams, Daniel M.

    1989-01-01

    An automatic loading roller for transmitting torque in traction drive devices in manipulator arm joints includes a two-part camming device having a first cam portion rotatable in place on a shaft by an input torque and a second cam portion coaxially rotatable and translatable having a rotating drive surface thereon for engaging the driven surface of an output roller with a resultant force proportional to the torque transmitted. Complementary helical grooves on the respective cam portions interconnected through ball bearings interacting with those grooves effect the rotation and translation of the second cam portion in response to rotation of the first.

  16. Variable loading roller

    DOE Patents [OSTI]

    Williams, D.M.

    1988-01-21

    An automatic loading roller for transmitting torque in traction drive devices in manipulator arm joints includes a two-part camming device having a first cam portion rotatable in place on a shaft by an input torque and a second cam portion coaxially rotatable and translatable having a rotating drive surface thereon for engaging the driven surface of an output roller with a resultant force proportional to the torque transmitted. Complementary helical grooves in the respective cam portions interconnected through ball bearings interacting with those grooves effect the rotation and translation of the second cam portion in response to rotation of the first. 14 figs.

  17. U.S. Weekly Inputs & Utilization

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

    Data Series Area 031116 031816 032516 040116 040816 041516 View History Refiner Inputs and Utilization Crude Oil Inputs 15,996 15,820 16,234 16,433 15,941 16,104 ...

  18. Recommendation 177: Facilitating Early Public Input

    Broader source: Energy.gov [DOE]

    DOE should initiate consultation meetings with stake holders immediately to allow early public input into the planning for IFDP

  19. High Energy Output Marx Generator Design

    SciTech Connect (OSTI)

    Monty Lehmann

    2011-07-01

    High Energy Output Marx Generator Design a design of a six stage Marx generator that has a unipolar pulse waveform of 200 kA in a 50500 microsecond waveform is presented. The difficulties encountered in designing the components to withstand the temperatures and pressures generated during the output pulse are discussed. The unique methods and materials used to successfully overcome these problems are given. The steps necessary to increase the current output of this Marx generator design to the meg-ampere region or higher are specified.

  20. Sub-daily Statistical Downscaling of Meteorological Variables...

    Office of Scientific and Technical Information (OSTI)

    and variance that was accurate within 1% for all variables except atmospheric pressure, wind speed, and precipitation. Correlations between downscaled output and the expected...

  1. Boosting America's Hydropower Output | Department of Energy

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

    Boosting America's Hydropower Output Boosting America's Hydropower Output October 9, 2012 - 2:10pm Addthis The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. City of Boulder employees celebrate the completion of the Boulder Canyon Hydroelectric Modernization project. | Photo courtesy of the city of

  2. ,"Maine Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  3. ,"Washington Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","09...

  4. Input apparatus for dynamic signature verification systems

    DOE Patents [OSTI]

    EerNisse, Errol P.; Land, Cecil E.; Snelling, Jay B.

    1978-01-01

    The disclosure relates to signature verification input apparatus comprising a writing instrument and platen containing piezoelectric transducers which generate signals in response to writing pressures.

  5. ,"Hawaii Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  6. ,"Texas Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  7. Multiple output timing and trigger generator

    SciTech Connect (OSTI)

    Wheat, Robert M.; Dale, Gregory E

    2009-01-01

    In support of the development of a multiple stage pulse modulator at the Los Alamos National Laboratory, we have developed a first generation, multiple output timing and trigger generator. Exploiting Commercial Off The Shelf (COTS) Micro Controller Units (MCU's), the timing and trigger generator provides 32 independent outputs with a timing resolution of about 500 ns. The timing and trigger generator system is comprised of two MCU boards and a single PC. One of the MCU boards performs the functions of the timing and signal generation (the timing controller) while the second MCU board accepts commands from the PC and provides the timing instructions to the timing controller. The PC provides the user interface for adjusting the on and off timing for each of the output signals. This system provides 32 output or timing signals which can be pre-programmed to be in an on or off state for each of 64 time steps. The width or duration of each of the 64 time steps is programmable from 2 {micro}s to 2.5 ms with a minimum time resolution of 500 ns. The repetition rate of the programmed pulse train is only limited by the time duration of the programmed event. This paper describes the design and function of the timing and trigger generator system and software including test results and measurements.

  8. Porous radiant burners having increased radiant output

    DOE Patents [OSTI]

    Tong, Timothy W.; Sathe, Sanjeev B.; Peck, Robert E.

    1990-01-01

    Means and methods for enhancing the output of radiant energy from a porous radiant burner by minimizing the scattering and increasing the adsorption, and thus emission of such energy by the use of randomly dispersed ceramic fibers of sub-micron diameter in the fabrication of ceramic fiber matrix burners and for use therein.

  9. US Nuclear Regulatory Commission Input to DOE Request for Information...

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

    US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart ...

  10. MULTIPLE INPUT BINARY ADDER EMPLOYING MAGNETIC DRUM DIGITAL COMPUTING APPARATUS

    DOE Patents [OSTI]

    Cooke-Yarborough, E.H.

    1960-12-01

    A digital computing apparatus is described for adding a plurality of multi-digit binary numbers. The apparatus comprises a rotating magnetic drum, a recording head, first and second reading heads disposed adjacent to the first and second recording tracks, and a series of timing signals recorded on the first track. A series of N groups of digit-representing signals is delivered to the recording head at time intervals corresponding to the timing signals, each group consisting of digits of the same significance in the numbers, and the signal series is recorded on the second track of the drum in synchronism with the timing signals on the first track. The multistage registers are stepped cyclically through all positions, and each of the multistage registers is coupled to the control lead of a separate gate circuit to open the corresponding gate at only one selected position in each cycle. One of the gates has its input coupled to the bistable element to receive the sum digit, and the output lead of this gate is coupled to the recording device. The inputs of the other gates receive the digits to be added from the second reading head, and the outputs of these gates are coupled to the adding register. A phase-setting pulse source is connected to each of the multistage registers individually to step the multistage registers to different initial positions in the cycle, and the phase-setting pulse source is actuated each N time interval to shift a sum digit to the bistable element, where the multistage register coupled to bistable element is operated by the phase- setting pulse source to that position in its cycle N steps before opening the first gate, so that this gate opens in synchronism with each of the shifts to pass the sum digits to the recording head.

  11. Error estimates for fission neutron outputs (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Error estimates for fission neutron outputs Citation Details In-Document Search Title: Error estimates for fission neutron outputs You are accessing a document from the...

  12. Neutron light output and detector efficiency (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Neutron light output and detector efficiency Citation Details In-Document Search Title: Neutron light output and detector efficiency You are accessing a document from the ...

  13. U-139: IBM Tivoli Directory Server Input Validation Flaw

    Broader source: Energy.gov [DOE]

    The Web Admin Tool does not properly filter HTML code from user-supplied input before displaying the input.

  14. U-147:Red Hat Enterprise MRG Grid Input Validation Flaw

    Broader source: Energy.gov [DOE]

    The MRG Management Console (Cumin) does not properly filter HTML code from user-supplied input before displaying the input.

  15. Method for guessing the response of a physical system to an arbitrary input

    DOE Patents [OSTI]

    Wolpert, David H.

    1996-01-01

    Stacked generalization is used to minimize the generalization errors of one or more generalizers acting on a known set of input values and output values representing a physical manifestation and a transformation of that manifestation, e.g., hand-written characters to ASCII characters, spoken speech to computer command, etc. Stacked generalization acts to deduce the biases of the generalizer(s) with respect to a known learning set and then correct for those biases. This deduction proceeds by generalizing in a second space whose inputs are the guesses of the original generalizers when taught with part of the learning set and trying to guess the rest of it, and whose output is the correct guess. Stacked generalization can be used to combine multiple generalizers or to provide a correction to a guess from a single generalizer.

  16. Variable current speed controller for eddy current motors

    DOE Patents [OSTI]

    Gerth, H.L.; Bailey, J.M.; Casstevens, J.M.; Dixon, J.H.; Griffith, B.O.; Igou, R.E.

    1982-03-12

    A speed control system for eddy current motors is provided in which the current to the motor from a constant frequency power source is varied by comparing the actual motor speed signal with a setpoint speed signal to control the motor speed according to the selected setpoint speed. A three-phase variable voltage autotransformer is provided for controlling the voltage from a three-phase power supply. A corresponding plurality of current control resistors is provided in series with each phase of the autotransformer output connected to inputs of a three-phase motor. Each resistor is connected in parallel with a set of normally closed contacts of plurality of relays which are operated by control logic. A logic circuit compares the selected speed with the actual motor speed obtained from a digital tachometer monitoring the motor spindle speed and operated the relays to add or substract resistance equally in each phase of the motor input to vary the motor current to control the motor at the selected speed.

  17. World crude output overcomes Persian Gulf disruption

    SciTech Connect (OSTI)

    Not Available

    1992-02-01

    Several OPEC producers made good on their promises to replace 2.7 MMbpd of oil exports that vanished from the world market after Iraq took over Kuwait. Even more incredibly, they accomplished this while a breathtaking 1.2- MMbopd reduction in Soviet output took place during the course of 1991. After Abu Dhabi, Indonesia, Iran, Libya, Nigeria, Saudi Arabia and Venezuela turned the taps wide open, their combined output rose 2.95 MMbopd. Put together with a 282,000-bopd increase by Norway and contributions from smaller producers, this enabled world oil production to remain within 400,000 bopd of its 1990 level. The 60.5-MMbopd average was off by just 0.7%. This paper reports that improvement took place in five of eight regions. Largest increases were in Western Europe and Africa. Greatest reductions occurred in Eastern Europe and the Middle East. Fifteen nations produced 1 MMbopd or more last year, compared with 17 during 1990.

  18. U.S. Blender Net Input

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

    2010 2011 2012 2013 2014 2015 View History Total Input 2,166,784 2,331,109 2,399,318 2,539,812 2,824,480 2,987,634 2005-2015 Natural Gas Plant Liquids and Liquefied Refinery Gases ...

  19. Room-return scattering in fission neutron outputs (Conference...

    Office of Scientific and Technical Information (OSTI)

    Room-return scattering in fission neutron outputs Citation Details In-Document Search Title: Room-return scattering in fission neutron outputs You are accessing a document from...

  20. Midwest (PADD 2) Weekly Inputs & Utilization

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

    3,290 3,276 3,258 3,350 3,411 3,475 1992-2016 Gross Inputs 3,294 3,279 3,262 3,353 3,414 3,478 1990-2016 Operable Capacity (Calendar Day) 3,882 3,893 3,904 3,915 3,922 3,922 2010-2016 Percent Operable Utilization 84.9 84.3 83.6 85.7 87.0 88.7 2010-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components 416 444 485 464 486 472 2010-2016 RBOB 51 57 69 56 60 67 2010-2016 CBOB 290 327 361 373 396 348 2010-2016 GTAB 0 0 0 0 0 0 2010-2016 All Other 75 60 55 35 30 56 2010-2016 Fuel

  1. XBox Input -Version 1.0

    Energy Science and Technology Software Center (OSTI)

    2012-10-03

    Contains class for connecting to the Xbox 360 controller, displaying the user inputs {buttons, triggers, analog sticks), and controlling the rumble motors. Also contains classes for converting the raw Xbox 360 controller inputs into meaningful commands for the following objects: • Robot arms - Provides joint control and several tool control schemes • UGV's - Provides translational and rotational commands for "skid-steer" vehicles • Pan-tilt units - Provides several modes of control including velocity, position,more » and point-tracking • Head-mounted displays (HMO)- Controls the viewpoint of a HMO • Umbra frames - Controls the position andorientation of an Umbra posrot object • Umbra graphics window - Provides several modes of control for the Umbra OSG window viewpoint including free-fly, cursor-focused, and object following.« less

  2. Minnesota Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Minnesota Natural Gas Input Supplemental ... Total Supplemental Supply of Natural Gas Minnesota Supplemental Supplies of Natural Gas ...

  3. U-252: Barracuda Web Filter Input Validation Flaws Permit Cross...

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

    2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September...

  4. T-693: Symantec Endpoint Protection Manager Input Validation...

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

    Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site...

  5. Addressing Uncertainties in Design Inputs: A Case Study of Probabilist...

    Office of Environmental Management (EM)

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Addressing Uncertainties in Design Inputs: A Case...

  6. V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated...

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

    Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated Privileges V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated...

  7. V-153: Symantec Brightmail Gateway Input Validation Flaw Permits...

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

    3: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting...

  8. T-701: Citrix Access Gateway Enterprise Edition Input Validation...

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

    1: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks T-701: Citrix Access Gateway Enterprise Edition Input...

  9. Tribal Leaders Provide White House with Input on Bolstering Climate...

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

    Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 - 10:29am ...

  10. decreasing water input and waste generation

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

    decreasing water input and waste generation - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste

  11. Eliminating livelock by assigning the same priority state to each message that is inputted into a flushable routing system during N time intervals

    DOE Patents [OSTI]

    Faber, Vance

    1994-01-01

    Livelock-free message routing is provided in a network of interconnected nodes that is flushable in time T. An input message processor generates sequences of at least N time intervals, each of duration T. An input register provides for receiving and holding each input message, where the message is assigned a priority state p during an nth one of the N time intervals. At each of the network nodes a message processor reads the assigned priority state and awards priority to messages with priority state (p-1) during an nth time interval and to messages with priority state p during an (n+1) th time interval. The messages that are awarded priority are output on an output path toward the addressed output message processor. Thus, no message remains in the network for a time longer than T.

  12. Eliminating livelock by assigning the same priority state to each message that is input into a flushable routing system during N time intervals

    DOE Patents [OSTI]

    Faber, V.

    1994-11-29

    Livelock-free message routing is provided in a network of interconnected nodes that is flushable in time T. An input message processor generates sequences of at least N time intervals, each of duration T. An input register provides for receiving and holding each input message, where the message is assigned a priority state p during an nth one of the N time intervals. At each of the network nodes a message processor reads the assigned priority state and awards priority to messages with priority state (p-1) during an nth time interval and to messages with priority state p during an (n+1) th time interval. The messages that are awarded priority are output on an output path toward the addressed output message processor. Thus, no message remains in the network for a time longer than T. 4 figures.

  13. Fail safe controllable output improved version of the electromechanical battery

    DOE Patents [OSTI]

    Post, R.F.

    1999-01-19

    Mechanical means are provided to control the voltages induced in the windings of a generator/motor. In one embodiment, a lever is used to withdraw or insert the entire stator windings from the cavity where the rotating field exists. In another embodiment, voltage control and/or switching off of the output is achievable with a variable-coupling generator/motor. A stator is made up of two concentric layers of windings, with a larger number of turns on the inner layer of windings than the outer layer of windings. The windings are to be connected in series electrically, that is, their voltages add vectorially. The mechanical arrangement is such that one or both of the windings can be rotated with respect to the other winding about their common central axis. Another improved design for the stator assembly of electromechanical batteries provides knife switch contacts that are in electrical contact with the stator windings. The operation of this embodiment depends on the fact that an abnormally large torque will be exerted on the stator structure during any short-circuit condition. 4 figs.

  14. Fail safe controllable output improved version of the Electromechanical battery

    DOE Patents [OSTI]

    Post, Richard F. (Walnut Creek, CA)

    1999-01-01

    Mechanical means are provided to control the voltages induced in the windings of a generator/motor. In one embodiment, a lever is used to withdraw or insert the entire stator windings from the cavity where the rotating field exists. In another embodiment, voltage control and/or switching off of the output is achievable with a variable-coupling generator/motor. A stator is made up of two concentric layers of windings, with a larger number of turns on the inner layer of windings than the outer layer of windings. The windings are to be connected in series electrically, that is, their voltages add vectorially. The mechanical arrangement is such that one or both of the windings can be rotated with respect to the other winding about their common central axis. Another improved design for the stator assembly of electromechanical batteries provides knife switch contacts that are in electrical contact with the stator windings. The operation of this embodiment depends on the fact that an abnormally large torque will be exerted on the stator structure during any short-circuit condition.

  15. PADD 3 Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update (EIA)

    8,932 8,698 8,654 8,467 8,531 8,502 1992-2016 Gross Inputs 8,973 8,796 8,658 8,607 8,811 8,490 1990-2016 Operable Capacity (Calendar Day) 9,437 9,437 9,437 9,512 9,512 9,512 2010-2016 Percent Operable Utilization 95.1 93.2 91.7 90.5 92.6 89.3 2010-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components -2,198 -2,086 -2,262 -2,381 -2,286 -2,129 2004-2016 RBOB -454 -429 -442 -405 -342 -355 2010-2016 CBOB -1,777 -1,684 -1,862 -1,882 -1,896 -1,869 2004-2016 GTAB 0 0 0 0 0 0 2004-2016

  16. Local Sensitivity of Predicted CO2 Injectivity and Plume Extent to Model Inputs for the FutureGen 2.0 site

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

    Zhang, Z. Fred; White, Signe K.; Bonneville, Alain; Gilmore, Tyler J.

    2014-12-31

    Numerical simulations have been used for estimating CO2 injectivity, CO2 plume extent, pressure distribution, and Area of Review (AoR), and for the design of CO2 injection operations and monitoring network for the FutureGen project. The simulation results are affected by uncertainties associated with numerous input parameters, the conceptual model, initial and boundary conditions, and factors related to injection operations. Furthermore, the uncertainties in the simulation results also vary in space and time. The key need is to identify those uncertainties that critically impact the simulation results and quantify their impacts. We introduce an approach to determine the local sensitivity coefficientmore » (LSC), defined as the response of the output in percent, to rank the importance of model inputs on outputs. The uncertainty of an input with higher sensitivity has larger impacts on the output. The LSC is scalable by the error of an input parameter. The composite sensitivity of an output to a subset of inputs can be calculated by summing the individual LSC values. We propose a local sensitivity coefficient method and applied it to the FutureGen 2.0 Site in Morgan County, Illinois, USA, to investigate the sensitivity of input parameters and initial conditions. The conceptual model for the site consists of 31 layers, each of which has a unique set of input parameters. The sensitivity of 11 parameters for each layer and 7 inputs as initial conditions is then investigated. For CO2 injectivity and plume size, about half of the uncertainty is due to only 4 or 5 of the 348 inputs and 3/4 of the uncertainty is due to about 15 of the inputs. The initial conditions and the properties of the injection layer and its neighbour layers contribute to most of the sensitivity. Overall, the simulation outputs are very sensitive to only a small fraction of the inputs. However, the parameters that are important for controlling CO2 injectivity are not the same as those controlling the plume size. The three most sensitive inputs for injectivity were the horizontal permeability of Mt Simon 11 (the injection layer), the initial fracture-pressure gradient, and the residual aqueous saturation of Mt Simon 11, while those for the plume area were the initial salt concentration, the initial pressure, and the initial fracture-pressure gradient. The advantages of requiring only a single set of simulation results, scalability to the proper parameter errors, and easy calculation of the composite sensitivities make this approach very cost-effective for estimating AoR uncertainty and guiding cost-effective site characterization, injection well design, and monitoring network design for CO2 storage projects.« less

  17. Local Sensitivity of Predicted CO2 Injectivity and Plume Extent to Model Inputs for the FutureGen 2.0 site

    SciTech Connect (OSTI)

    Zhang, Z. Fred; White, Signe K.; Bonneville, Alain; Gilmore, Tyler J.

    2014-12-31

    Numerical simulations have been used for estimating CO2 injectivity, CO2 plume extent, pressure distribution, and Area of Review (AoR), and for the design of CO2 injection operations and monitoring network for the FutureGen project. The simulation results are affected by uncertainties associated with numerous input parameters, the conceptual model, initial and boundary conditions, and factors related to injection operations. Furthermore, the uncertainties in the simulation results also vary in space and time. The key need is to identify those uncertainties that critically impact the simulation results and quantify their impacts. We introduce an approach to determine the local sensitivity coefficient (LSC), defined as the response of the output in percent, to rank the importance of model inputs on outputs. The uncertainty of an input with higher sensitivity has larger impacts on the output. The LSC is scalable by the error of an input parameter. The composite sensitivity of an output to a subset of inputs can be calculated by summing the individual LSC values. We propose a local sensitivity coefficient method and applied it to the FutureGen 2.0 Site in Morgan County, Illinois, USA, to investigate the sensitivity of input parameters and initial conditions. The conceptual model for the site consists of 31 layers, each of which has a unique set of input parameters. The sensitivity of 11 parameters for each layer and 7 inputs as initial conditions is then investigated. For CO2 injectivity and plume size, about half of the uncertainty is due to only 4 or 5 of the 348 inputs and 3/4 of the uncertainty is due to about 15 of the inputs. The initial conditions and the properties of the injection layer and its neighbour layers contribute to most of the sensitivity. Overall, the simulation outputs are very sensitive to only a small fraction of the inputs. However, the parameters that are important for controlling CO2 injectivity are not the same as those controlling the plume size. The three most sensitive inputs for injectivity were the horizontal permeability of Mt Simon 11 (the injection layer), the initial fracture-pressure gradient, and the residual aqueous saturation of Mt Simon 11, while those for the plume area were the initial salt concentration, the initial pressure, and the initial fracture-pressure gradient. The advantages of requiring only a single set of simulation results, scalability to the proper parameter errors, and easy calculation of the composite sensitivities make this approach very cost-effective for estimating AoR uncertainty and guiding cost-effective site characterization, injection well design, and monitoring network design for CO2 storage projects.

  18. Halbach array generator/motor having mechanically regulated output voltage and mechanical power output

    DOE Patents [OSTI]

    Post, Richard F.

    2005-06-14

    A motor/generator has its stationary portion, i.e., the stator, positioned concentrically within its rotatable element, i.e., the rotor, along the axis of rotation of the rotor. The rotor includes a Halbach array of magnets. The voltage and power outputs are regulated by varying the radial gap in between the stator windings and the rotating Halbach array. The gap is varied by extensible and retractable supports attached to the stator windings that can move the windings in a radial direction.

  19. High output lamp with high brightness

    DOE Patents [OSTI]

    Kirkpatrick, Douglas A.; Bass, Gary K.; Copsey, Jesse F.; Garber, Jr., William E.; Kwong, Vincent H.; Levin, Izrail; MacLennan, Donald A.; Roy, Robert J.; Steiner, Paul E.; Tsai, Peter; Turner, Brian P.

    2002-01-01

    An ultra bright, low wattage inductively coupled electrodeless aperture lamp is powered by a solid state RF source in the range of several tens to several hundreds of watts at various frequencies in the range of 400 to 900 MHz. Numerous novel lamp circuits and components are disclosed including a wedding ring shaped coil having one axial and one radial lead, a high accuracy capacitor stack, a high thermal conductivity aperture cup and various other aperture bulb configurations, a coaxial capacitor arrangement, and an integrated coil and capacitor assembly. Numerous novel RF circuits are also disclosed including a high power oscillator circuit with reduced complexity resonant pole configuration, parallel RF power FET transistors with soft gate switching, a continuously variable frequency tuning circuit, a six port directional coupler, an impedance switching RF source, and an RF source with controlled frequency-load characteristics. Numerous novel RF control methods are disclosed including controlled adjustment of the operating frequency to find a resonant frequency and reduce reflected RF power, controlled switching of an impedance switched lamp system, active power control and active gate bias control.

  20. Multi-input and binary reproducible, high bandwidth floating point adder in a collective network

    DOE Patents [OSTI]

    Chen, Dong; Eisley, Noel A; Heidelberger, Philip; Steinmacher-Burow, Burkhard

    2015-03-10

    To add floating point numbers in a parallel computing system, a collective logic device receives the floating point numbers from computing nodes. The collective logic devices converts the floating point numbers to integer numbers. The collective logic device adds the integer numbers and generating a summation of the integer numbers. The collective logic device converts the summation to a floating point number. The collective logic device performs the receiving, the converting the floating point numbers, the adding, the generating and the converting the summation in one pass. One pass indicates that the computing nodes send inputs only once to the collective logic device and receive outputs only once from the collective logic device.

  1. High natural gas output and inventories contribute to lower prices

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

    High natural gas output and inventories contribute to lower prices High natural gas production and ample gas inventories are expected to keep natural gas prices relatively low for ...

  2. Output-Based Error Estimation and Adaptation for Uncertainty...

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

    Output-Based Error Estimation and Adaptation for Uncertainty Quantification Isaac M. Asher and Krzysztof J. Fidkowski University of Michigan US National Congress on Computational...

  3. U.S. Blender Net Input

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

    Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History Total Input 248,620 258,292 242,060 252,467 242,396 238,655 2005-2016 Natural Gas Plant Liquids and Liquefied Refinery Gases 1,681 2,789 2,599 2,073 2,044 1,531 2008-2016 Pentanes Plus 111 413 479 223 489 347 2005-2016 Liquid Petroleum Gases 1,570 2,376 2,120 1,850 1,555 1,184 2008-2016 Normal Butane 1,563 2,376 2,120 1,850 1,555 1,184 2005-2016 Isobutane 7 2005-2015 Other Liquids 246,939 255,503 239,461 250,394 240,352 237,124 2008-2016

  4. A New Ensemble of Perturbed-Input-Parameter Simulations by the Community Atmosphere Model

    SciTech Connect (OSTI)

    Covey, C; Brandon, S; Bremer, P T; Domyancis, D; Garaizar, X; Johannesson, G; Klein, R; Klein, S A; Lucas, D D; Tannahill, J; Zhang, Y

    2011-10-27

    Uncertainty quantification (UQ) is a fundamental challenge in the numerical simulation of Earth's weather and climate, and other complex systems. It entails much more than attaching defensible error bars to predictions: in particular it includes assessing low-probability but high-consequence events. To achieve these goals with models containing a large number of uncertain input parameters, structural uncertainties, etc., raw computational power is needed. An automated, self-adapting search of the possible model configurations is also useful. Our UQ initiative at the Lawrence Livermore National Laboratory has produced the most extensive set to date of simulations from the US Community Atmosphere Model. We are examining output from about 3,000 twelve-year climate simulations generated with a specialized UQ software framework, and assessing the model's accuracy as a function of 21 to 28 uncertain input parameter values. Most of the input parameters we vary are related to the boundary layer, clouds, and other sub-grid scale processes. Our simulations prescribe surface boundary conditions (sea surface temperatures and sea ice amounts) to match recent observations. Fully searching this 21+ dimensional space is impossible, but sensitivity and ranking algorithms can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination. Bayesian statistical constraints, employing a variety of climate observations as metrics, also seem promising. Observational constraints will be important in the next step of our project, which will compute sea surface temperatures and sea ice interactively, and will study climate change due to increasing atmospheric carbon dioxide.

  5. Nonferromagnetic linear variable differential transformer

    DOE Patents [OSTI]

    Ellis, James F.; Walstrom, Peter L.

    1977-06-14

    A nonferromagnetic linear variable differential transformer for accurately measuring mechanical displacements in the presence of high magnetic fields is provided. The device utilizes a movable primary coil inside a fixed secondary coil that consists of two series-opposed windings. Operation is such that the secondary output voltage is maintained in phase (depending on polarity) with the primary voltage. The transducer is well-suited to long cable runs and is useful for measuring small displacements in the presence of high or alternating magnetic fields.

  6. Variable energy constant current accelerator structure

    DOE Patents [OSTI]

    Anderson, O.A.

    1988-07-13

    A variable energy, constant current ion beam accelerator structure is disclosed comprising an ion source capable of providing the desired ions, a pre-accelerator for establishing an initial energy level, a matching/pumping module having means for focusing means for maintaining the beam current, and at least one main accelerator module for continuing beam focus, with means capable of variably imparting acceleration to the beam so that a constant beam output current is maintained independent of the variable output energy. In a preferred embodiment, quadrupole electrodes are provided in both the matching/pumping module and the one or more accelerator modules, and are formed using four opposing cylinder electrodes which extend parallel to the beam axis and are spaced around the beam at 90/degree/ intervals with opposing electrodes maintained at the same potential. 12 figs., 3 tabs.

  7. Optimization of the output and efficiency of a high power cascaded arc hydrogen plasma source

    SciTech Connect (OSTI)

    Vijvers, W. A. J.; Gils, C. A. J. van; Goedheer, W. J.; Meiden, H. J. van der; Veremiyenko, V. P.; Westerhout, J.; Lopes Cardozo, N. J.; Rooij, G. J. van; Schram, D. C.

    2008-09-15

    The operation of a cascaded arc hydrogen plasma source was experimentally investigated to provide an empirical basis for the scaling of this source to higher plasma fluxes and efficiencies. The flux and efficiency were determined as a function of the input power, discharge channel diameter, and hydrogen gas flow rate. Measurements of the pressure in the arc channel show that the flow is well described by Poiseuille flow and that the effective heavy particle temperature is approximately 0.8 eV. Interpretation of the measured I-V data in terms of a one-parameter model shows that the plasma production is proportional to the input power, to the square root of the hydrogen flow rate, and is independent of the channel diameter. The observed scaling shows that the dominant power loss mechanism inside the arc channel is one that scales with the effective volume of the plasma in the discharge channel. Measurements on the plasma output with Thomson scattering confirm the linear dependence of the plasma production on the input power. Extrapolation of these results shows that (without a magnetic field) an improvement in the plasma production by a factor of 10 over where it was in van Rooij et al. [Appl. Phys. Lett. 90, 121501 (2007)] should be possible.

  8. Connecticut Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  9. Maine Natural Gas Input Supplemental Fuels (Million Cubic Feet...

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

    Input Supplemental Fuels (Million Cubic Feet) Maine Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  10. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross...

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

    3: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks July 5, 2013 -...

  11. Clean Energy Investment Center Seeks Input to Enhance Its Services...

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

    Clean Energy Investment Center Seeks Input to Enhance Its Services Clean Energy Investment Center Seeks Input to Enhance Its Services March 2, 2016 - 9:21am Addthis On March 1, the ...

  12. U-144:Juniper Secure Access Input Validation Flaw Permits Cross...

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

    4:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks April 10,...

  13. Arizona Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Arizona Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  14. Developing a low input and sustainable switchgrass feedstock...

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

    switchgrass feedstock production system utilizing beneficial bacterial endophytes Developing a low input and sustainable switchgrass feedstock production system utilizing ...

  15. Refinery Input by PADD - Petroleum Supply Annual (2004)

    SciTech Connect (OSTI)

    2009-01-18

    Table showing refinery input of crude oil and petroleum products by Petroleum Administration for Defense Districts (PADD).

  16. U-001:Symantec IM Manager Input Validation Flaws

    Broader source: Energy.gov [DOE]

    Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks.

  17. Input File Creation for the Molecular Dynamics Program LAMMPS.

    Energy Science and Technology Software Center (OSTI)

    2001-05-30

    The program creates an input data file for the molecular dynamics program LAMMPS. The input file created is a liquid mixture between two walls explicitly composed of particles. The liquid molecules are modeled as a bead-spring molecule. The input data file specifies the position and topology of the starting state. The data structure of input allows for dynamic bond creation (cross-linking) within the LAMMPS code.

  18. Using Weather Data and Climate Model Output in Economic Analyses of Climate Change

    SciTech Connect (OSTI)

    Auffhammer, Maximilian; Hsiang, Solomon M.; Schlenker, Wolfram; Sobel, Adam H.

    2013-06-28

    Economists are increasingly using weather data and climate model output in analyses of the economic impacts of climate change. This article introduces a set of weather data sets and climate models that are frequently used, discusses the most common mistakes economists make in using these products, and identifies ways to avoid these pitfalls. We first provide an introduction to weather data, including a summary of the types of datasets available, and then discuss five common pitfalls that empirical researchers should be aware of when using historical weather data as explanatory variables in econometric applications. We then provide a brief overview of climate models and discuss two common and significant errors often made by economists when climate model output is used to simulate the future impacts of climate change on an economic outcome of interest.

  19. Input visualization for the Cyclus nuclear fuel cycle simulator: CYClus Input Control

    SciTech Connect (OSTI)

    Flanagan, R.; Schneider, E.

    2013-07-01

    This paper discusses and demonstrates the methods used for the graphical user interface for the Cyclus fuel cycle simulator being developed at the University of Wisconsin-Madison. Cyclus Input Control (CYCIC) is currently being designed with nuclear engineers in mind, but future updates to the program will be made to allow even non-technical users to quickly and efficiently simulate fuel cycles to answer the questions important to them. (authors)

  20. Biased low differential input impedance current receiver/converter device and method for low noise readout from voltage-controlled detectors

    DOE Patents [OSTI]

    Degtiarenko, Pavel V.; Popov, Vladimir E.

    2011-03-22

    A first stage electronic system for receiving charge or current from voltage-controlled sensors or detectors that includes a low input impedance current receiver/converter device (for example, a transimpedance amplifier), which is directly coupled to the sensor output, a source of bias voltage, and the device's power supply (or supplies), which use the biased voltage point as a baseline.

  1. Device for frequency modulation of a laser output spectrum

    DOE Patents [OSTI]

    Beene, James R.; Bemis, Jr., Curtis E.

    1986-01-01

    A device is provided for fast frequency modulating the output spectrum of multimode lasers and single frequency lasers that are not actively stabilized. A piezoelectric transducer attached to a laser cavity mirror is driven in an unconventional manner to excite resonance vibration of the transducer to rapidly, cyclicly change the laser cavity length. The result is a cyclic sweeping of the output wavelength sufficient to fill the gaps in the laser output frequency spectrum. When such a laser is used to excite atoms or molecules, complete absorption line coverage is made possible.

  2. Dual output acoustic wave sensor for molecular identification

    DOE Patents [OSTI]

    Frye, Gregory C.; Martin, Stephen J.

    1991-01-01

    A method of identification and quantification of absorbed chemical species by measuring changes in both the velocity and the attenuation of an acoustic wave traveling through a thin film into which the chemical species is sorbed. The dual output response provides two independent sensor responses from a single sensing device thereby providing twice as much information as a single output sensor. This dual output technique and analysis allows a single sensor to provide both the concentration and the identity of a chemical species or permits the number of sensors required for mixtures to be reduced by a factor of two.

  3. Device for frequency modulation of a laser output spectrum

    DOE Patents [OSTI]

    Beene, J.R.; Bemis, C.E. Jr.

    1984-07-17

    A device is provided for fast frequency modulating the output spectrum of multimode lasers and single frequency lasers that are not actively stabilized. A piezoelectric transducer attached to a laser cavity mirror is driven in an unconventional manner to excite resonance vibration of the tranducer to rapidly, cyclicly change the laser cavity length. The result is a cyclic sweeping of the output wavelength sufficient to fill the gaps in the laser output frequency spectrum. When a laser is used to excite atoms or molecules, complete absorption line coverage is made possible.

  4. Reprogrammable read only variable threshold transistor memory with isolated addressing buffer

    DOE Patents [OSTI]

    Lodi, Robert J.

    1976-01-01

    A monolithic integrated circuit, fully decoded memory comprises a rectangular array of variable threshold field effect transistors organized into a plurality of multi-bit words. Binary address inputs to the memory are decoded by a field effect transistor decoder into a plurality of word selection lines each of which activates an address buffer circuit. Each address buffer circuit, in turn, drives a word line of the memory array. In accordance with the word line selected by the decoder the activated buffer circuit directs reading or writing voltages to the transistors comprising the memory words. All of the buffer circuits additionally are connected to a common terminal for clearing all of the memory transistors to a predetermined state by the application to the common terminal of a large magnitude voltage of a predetermined polarity. The address decoder, the buffer and the memory array, as well as control and input/output control and buffer field effect transistor circuits, are fabricated on a common substrate with means provided to isolate the substrate of the address buffer transistors from the remainder of the substrate so that the bulk clearing function of simultaneously placing all of the memory transistors into a predetermined state can be performed.

  5. Community Climate System Model (CCSM) Experiments and Output Data

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

    The CCSM web makes the source code of various versions of the model freely available and provides access to experiments that have been run and the resulting output data.

  6. Method And Aparatus For Improving Resolution In Spectrometers Processing Output Steps From Non-Ideal Signal Sources

    DOE Patents [OSTI]

    Warburton, William K.; Momayezi, Michael

    2003-07-01

    A method and apparatus for processing step-like output signals generated by non-ideal, nominally single-pole ("N-1P") devices responding to possibly time-varying, pulse-like input signals of finite duration, wherein the goal is to recover the integrated areas of the input signals. Particular applications include processing step-like signals generated by detector systems in response to absorbed radiation or particles and, more particularly, to digitally processing such step-like signals in high resolution, high rate gamma ray (.gamma.-ray) spectrometers with resistive feedback preamplifiers connected to large volume germanium detectors. Superconducting bolometers can be similarly treated. The method comprises attaching a set of one or more filters to the device's (e.g., preamplifier's) output, capturing a correlated multiple output sample from the filter set in response to a detected event, and forming a weighted sum of the sample values to accurately recover the total area (e.g., charge) of the detected event.

  7. Bayesian approaches for combining computational model output and physical

    Office of Scientific and Technical Information (OSTI)

    observations (Conference) | SciTech Connect Bayesian approaches for combining computational model output and physical observations Citation Details In-Document Search Title: Bayesian approaches for combining computational model output and physical observations Authors: Higdon, David M [1] ; Lawrence, Earl [1] ; Heitmann, Katrin [2] ; Habib, Salman [2] + Show Author Affiliations Los Alamos National Laboratory ANL Publication Date: 2011-07-25 OSTI Identifier: 1084581 Report Number(s):

  8. Multiple scattering effects in fission neutron outputs (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Conference: Multiple scattering effects in fission neutron outputs Citation Details In-Document Search Title: Multiple scattering effects in fission neutron outputs Authors: Taddeucci, Terry N [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2011-02-24 OSTI Identifier: 1053153 Report Number(s): LA-UR-11-01326; LA-UR-11-1326 DOE Contract Number: AC52-06NA25396 Resource Type: Conference Resource Relation: Conference: Fission fprogram Review, ;

  9. PROJECT PROFILE: Advanced Thermal Management for Higher Module Power Output

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

    | Department of Energy Advanced Thermal Management for Higher Module Power Output PROJECT PROFILE: Advanced Thermal Management for Higher Module Power Output Funding Opportunity: SuNLaMP SunShot Subprogram: Photovoltaics Location: National Renewable Energy Laboratory, Golden, CO Amount Awarded: $2,816,911 Higher temperatures of photovoltaic (PV) modules are causing lower than projected module performance. For example, a free-standing Si PV module has 0.4% decrease in efficiency per degree

  10. A 30 MW, 200 MHz Inductive Output Tube for RF Accelerators

    SciTech Connect (OSTI)

    R. Lawrence Ives; Michael Read

    2008-06-19

    This program investigated development of a multiple beam inductive output tube (IOT) to produce 30 MW pulses at 200 MHz. The program was successful in demonstrating feasibility of developing the source to achieve the desired power in microsecond pulses with 70% efficiency. The predicted gain of the device is 24 dB. Consequently, a 200 kW driver would be required for the RF input. Estimated cost of this driver is approximately $1.25 M. Given the estimated development cost of the IOT of approximately $750K and the requirements for a test set that would significantly increase the cost, it was determined that development could not be achieved within the funding constraints of a Phase II program.

  11. NIDR (New Input Deck Reader) V2.0 2

    Energy Science and Technology Software Center (OSTI)

    2010-03-31

    NIDR (New Input Deck Reader) is a facility for processing block-structured input to large programs. NIDR was written to simplify maintenance of DAKOTA (a program for uncertainty quantification and optimization), to provide better error checking of input and to allow use of aliases in the input. While written to support DAKOTA input conventions, NIDR itself is independent of DAKOTA and can be used in many kinds of programs. The initial version of NIDR was copyrightedmore » in 2008. We have since extended NIDR to support a graphical user interface called Jaguar for DAKOTA. In the Review and Approval process for an updated paper on NIDR, the Classification Approver states that a new copyright assertion should be performed.processing input to programs. NIDR is not primarily for military applications.« less

  12. Controlling output pulse and prepulse in a resonant microwave pulse compressor

    SciTech Connect (OSTI)

    Shlapakovski, A.; Artemenko, S.; Chumerin, P.; Yushkov, Yu.

    2013-02-07

    A resonant microwave pulse compressor with a waveguide H-plane-tee-based energy extraction unit was studied in terms of its capability to produce output pulses that comprise a low-power long-duration (prepulse) and a high-power short-duration part. The application of such combined pulses with widely variable prepulse and high-power pulse power and energy ratios is of interest in the research area of electronic hardware vulnerability. The characteristics of output radiation pulses are controlled by the variation of the H-plane tee transition attenuation at the stage of microwave energy storage in the compressor cavity. Results of theoretical estimations of the parameters tuning range and experimental investigations of the prototype S-band compressor (1.5 MW, 12 ns output pulse; {approx}13.2 dB gain) are presented. The achievable maximum in the prepulse power is found to be about half the power of the primary microwave source. It has been shown that the energy of the prepulse becomes comparable with that of the short-duration (nanosecond) pulse, while the power of the latter decreases insignificantly. The possible range of variation of the prepulse power and energy can be as wide as 40 dB. In the experiments, the prepulse level control within the range of {approx}10 dB was demonstrated.

  13. Generates 2D Input for DYNA NIKE & TOPAZ

    Energy Science and Technology Software Center (OSTI)

    1996-07-15

    MAZE is an interactive program that serves as an input and two-dimensional mesh generator for DYNA2D, NIKE2D, TOPAZ2D, and CHEMICAL TOPAZ2D. MAZE also generates a basic template for ISLAND input. MAZE has been applied to the generation of input data to study the response of two-dimensional solids and structures undergoing finite deformations under a wide variety of large deformation transient dynamic and static problems and heat transfer analyses.

  14. Abandoned Uranium Mines Report to Congress: LM Wants Your Input

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is seeking stakeholder input on an abandoned uranium mines report to Congress.

  15. ,"Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities...

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

    Weighted Average Refinery Crude Oil Input Qualities",16,"Monthly","22016","1151985" ,"Release Date:","4292016" ,"Next Release Date:","5312016" ,"Excel File ...

  16. ,"New Mexico Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  17. V-192: Symantec Security Information Manager Input Validation...

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

    Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site...

  18. Method for separating FEL output beams from long wavelength radiation

    DOE Patents [OSTI]

    Neil, George; Shinn, Michelle D.; Gubeli, Joseph

    2016-04-26

    A method for improving the output beam quality of a free electron laser (FEL) by reducing the amount of emission at wavelengths longer than the electron pulse length and reducing the amount of edge radiation. A mirror constructed of thermally conductive material and having an aperture therein is placed at an oblique angle with respect to the beam downstream of the bending magnet but before any sensitive use of the FEL beam. The aperture in the mirror is sized to deflect emission longer than the wavelength of the FEL output while having a minor impact on the FEL output beam. A properly sized aperture will enable the FEL radiation, which is coherent and generally at a much shorter wavelength than the bending radiations, to pass through the aperture mirror. The much higher divergence bending radiations will subsequently strike the aperture mirror and be reflected safely out of the way.

  19. Control Board Digital Interface Input Devices Touchscreen, Trackpad, or Mouse?

    SciTech Connect (OSTI)

    Thomas A. Ulrich; Ronald L. Boring; Roger Lew

    2015-08-01

    The authors collaborated with a power utility to evaluate input devices for use in the human system interface (HSI) for a new digital Turbine Control System (TCS) at a nuclear power plant (NPP) undergoing a TCS upgrade. A standalone dynamic software simulation of the new digital TCS and a mobile kiosk were developed to conduct an input device study to evaluate operator preference and input device effectiveness. The TCS software presented the anticipated HSI for the TCS and mimicked (i.e., simulated) the turbine systems responses to operator commands. Twenty-four licensed operators from the two nuclear power units participated in the study. Three input devices were tested: a trackpad, mouse, and touchscreen. The subjective feedback from the survey indicates the operators preferred the touchscreen interface. The operators subjectively rated the touchscreen as the fastest and most comfortable input device given the range of tasks they performed during the study, but also noted a lack of accuracy for selecting small targets. The empirical data suggest the mouse input device provides the most consistent performance for screen navigation and manipulating on screen controls. The trackpad input device was both empirically and subjectively found to be the least effective and least desired input device.

  20. Developing a low input and sustainable switchgrass feedstock production

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

    system utilizing beneficial bacterial endophytes | Department of Energy Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Dr. Chuansheng Mei gave this presentation at the Symbiosis Conference. PDF icon symbiosis_conference_mei.pdf More Documents & Publications Symbiosis Biofeedstock Conference:

  1. Motor vehicle output and GDP, 1968-2007.

    SciTech Connect (OSTI)

    Santini, D. J.; Poyer, D. A.

    2008-01-01

    In this paper, we assess the performance of the BEA series 'value of motor vehicle output' as an indicator of the business cycle over the period 1968-2007. We statistically assess the causal relationship between real motor vehicle output (RMVO) and real gross domestic product (RGDP). This is accomplished by standard estimation and statistical methods used to assess vector autoregressive models. This assessment represents the initial results of a more encompassing research project, the intent of which is to determine the dynamic interaction of the transport sector with the overall economy. It's a start to a more comprehensive assessment of how transport and economic activity interrelate.

  2. Variable residence time vortex combustor

    DOE Patents [OSTI]

    Melconian, Jerry O.

    1987-01-01

    A variable residence time vortex combustor including a primary combustion chamber for containing a combustion vortex, and a plurality of louvres peripherally disposed about the primary combustion chamber and longitudinally distributed along its primary axis. The louvres are inclined to impel air about the primary combustion chamber to cool its interior surfaces and to impel air inwardly to assist in driving the combustion vortex in a first rotational direction and to feed combustion in the primary combustion chamber. The vortex combustor also includes a second combustion chamber having a secondary zone and a narrowed waist region in the primary combustion chamber interconnecting the output of the primary combustion chamber with the secondary zone for passing only lower density particles and trapping higher density particles in the combustion vortex in the primary combustion chamber for substantial combustion.

  3. Input-independent, Scalable and Fast String Matching on the Cray XMT

    SciTech Connect (OSTI)

    Villa, Oreste; Chavarra-Miranda, Daniel; Maschhoff, Kristyn J.

    2009-05-25

    String searching is at the core of many security and network applications like search engines, intrusion detection systems, virus scanners and spam ?lters. The growing size of on-line content and the increasing wire speeds push the need for fast, and often real- time, string searching solutions. For these conditions, many software implementations (if not all) targeting conventional cache-based microprocessors do not perform well. They either exhibit overall low performance or exhibit highly variable performance depending on the types of inputs. For this reason, real-time state of the art solutions rely on the use of either custom hardware or Field-Programmable Gate Arrays (FPGAs) at the expense of overall system ?exibility and programmability. This paper presents a software based implementation of the Aho-Corasick string searching algorithm on the Cray XMT multithreaded shared memory machine. Our so- lution relies on the particular features of the XMT architecture and on several algorith- mic strategies: it is fast, scalable and its performance is virtually content-independent. On a 128-processor Cray XMT, it reaches a scanning speed of ? 28 Gbps with a performance variability below 10 %. In the 10 Gbps performance range, variability is below 2.5%. By comparison, an Intel dual-socket, 8-core system running at 2.66 GHz achieves a peak performance which varies from 500 Mbps to 10 Gbps depending on the type of input and dictionary size.

  4. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, Richard P.; Paris, Robert D.; Feldman, Mark

    1993-01-01

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  5. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, R.P.; Paris, R.D.; Feldman, M.

    1993-02-23

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  6. Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004

    Broader source: Energy.gov [DOE]

    Handbook providing practical information to help regulators decide if they want to use output-based regulations and explains how to develop an output-based emission standard

  7. V-139: Cisco Network Admission Control Input Validation Flaw...

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

    PROBLEM: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands PLATFORM: Cisco NAC Manager versions prior to 4.8.3.1 and 4.9.2 ABSTRACT: A...

  8. Summary of Stakeholder Input From May 2015 Request for Information...

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

    Summary of Stakeholder Input From May 2015 Request for Information The U.S. Department of Energy (DOE) sought FY15 feedback through issuance of a Request for Information from ...

  9. DOE Seeks Input On Addressing Contractor Pension and Medical Benefits

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

    Liabilities | Department of Energy Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 - 12:10pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced in the Federal Register that it is seeking public comment on how to address the increasing costs and liabilities of contractor employee pension and medical benefits. Under the Department of Energy's unique

  10. T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input before displaying the input.

  11. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Several scripts do not properly filter HTML code from user-supplied input before displaying the input via several parameters

  12. An Advanced simulation Code for Modeling Inductive Output Tubes

    SciTech Connect (OSTI)

    Thuc Bui; R. Lawrence Ives

    2012-04-27

    During the Phase I program, CCR completed several major building blocks for a 3D large signal, inductive output tube (IOT) code using modern computer language and programming techniques. These included a 3D, Helmholtz, time-harmonic, field solver with a fully functional graphical user interface (GUI), automeshing and adaptivity. Other building blocks included the improved electrostatic Poisson solver with temporal boundary conditions to provide temporal fields for the time-stepping particle pusher as well as the self electric field caused by time-varying space charge. The magnetostatic field solver was also updated to solve for the self magnetic field caused by time changing current density in the output cavity gap. The goal function to optimize an IOT cavity was also formulated, and the optimization methodologies were investigated.

  13. Light-operated proximity detector with linear output

    DOE Patents [OSTI]

    Simpson, M.L.; McNeilly, D.R.

    1984-01-01

    A light-operated proximity detector is described in which reflected light intensity from a surface whose proximity to the detector is to be gauged is translated directly into a signal proportional to the distance of the detector from the surface. A phototransistor is used to sense the reflected light and is connected in a detector circuit which maintains the phtotransistor in a saturated state. A negative feedback arrangement using an operational amplifier connected between the collector and emitter of the transistor provides an output at the output of the amplifier which is linearly proportional to the proximity of the surface to the detector containing the transistor. This direct proportional conversion is true even though the light intensity is varying with the proximity in proportion to the square of the inverse of the distance. The detector may be used for measuring the distance remotely from any target surface.

  14. Light-operated proximity detector with linear output

    DOE Patents [OSTI]

    Simpson, Marc L.; McNeilly, David R.

    1985-01-01

    A light-operated proximity detector is described in which reflected light intensity from a surface whose proximity to the detector is to be gauged is translated directly into a signal proportional to the distance of the detector from the surface. A phototransistor is used to sense the reflected light and is connected in a detector circuit which maintains the phototransistor in a saturated state. A negative feedback arrangement using an operational amplifier connected between the collector and emitter of the transistor provides an output at the output of the amplifier which is linearly proportional to the proximity of the surface to the detector containing the transistor. This direct proportional conversion is true even though the light intensity is varying with the proximity in proportion to the square of the inverse of the distance. The detector may be used for measuring the distance remotely from any target surface.

  15. Development of a high-output dual-fuel engine

    SciTech Connect (OSTI)

    Danyluk, P.R. . Fairbanks Morse Engineering Division)

    1993-10-01

    This paper presents the results of a new dual-fuel engine development program. The engine is the largest commercially available in terms of power output (650 hp/cyl) and features very low emissions (1 g/hp-hr NO[sub x]) and excellent fuel consumption (43 percent thermal efficiency). A two-cylinder turbocharged prototype was designed and built for the initial development. Results from testing on 18-cylinder production versions are also reported.

  16. Ring laser having an output at a single frequency

    DOE Patents [OSTI]

    Hackell, Lloyd A.

    1991-01-01

    A ring laser is disclosed that produces a single frequency of laser radiation in either the pulsed mode of operation or the continuous waveform (cw) mode of operation. The laser comprises a ring laser in a bowtie configuration, a birefringent gain material such as Nd:YLF, an improved optical diode that supports laser oscillation having a desired direction of travel and linear polarization, and a Q-switch. An output coupler (mirror) having a high reflectivity, such as 94%, is disclosed. Also disclosed is a self-seeded method of operation in which the laser can provide a pulse or a series of pulses of high power laser radiation at a consistent single frequency with a high degree of amplitude stability and temporal stability. In operation, the laser is operated in continuous waveform (cw) at a low power output with the Q-switch introducing a loss into the resonating cavity. Pumping is continued at a high level, causing the gain material to store energy. When a pulse is desired, the Q-switch is actuated to substantially reduce the losses so that a pulse can build up based on the low level cw oscillation. The pulse quickly builds, using the stored energy in the gain medium to provide a high power output pulse. The process may be repeated to provide a series of high power pulses of a consistent single frequency.

  17. Development of output user interface software to support analysis

    SciTech Connect (OSTI)

    Wahanani, Nursinta Adi Natsir, Khairina Hartini, Entin

    2014-09-30

    Data processing software packages such as VSOP and MCNPX are softwares that has been scientifically proven and complete. The result of VSOP and MCNPX are huge and complex text files. In the analyze process, user need additional processing like Microsoft Excel to show informative result. This research develop an user interface software for output of VSOP and MCNPX. VSOP program output is used to support neutronic analysis and MCNPX program output is used to support burn-up analysis. Software development using iterative development methods which allow for revision and addition of features according to user needs. Processing time with this software 500 times faster than with conventional methods using Microsoft Excel. PYTHON is used as a programming language, because Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. Values that support neutronic analysis are k-eff, burn-up and mass Pu{sup 239} and Pu{sup 241}. Burn-up analysis used the mass inventory values of actinide (Thorium, Plutonium, Neptunium and Uranium). Values are visualized in graphical shape to support analysis.

  18. Powertrain with powersplit pump input and method of use thereof

    DOE Patents [OSTI]

    Johnson, Kris W.; Rose, Charles E.

    2009-04-28

    A powertrain includes an engine operatively connected to a primary power consuming device to transmit power thereto. The powertrain also includes a motor and a pump. The power output of the motor is independent of the power output of the engine. An epicyclic geartrain includes first, second and third members. The first member is operatively connected to the engine to receive power therefrom. The second member is operatively connected to the motor to receive power therefrom. The third member is operatively connected to the pump to transmit power thereto.

  19. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    SciTech Connect (OSTI)

    Wang, Feng; Huisman, Jaco; Stevels, Ab; Baldé, Cornelis Peter

    2013-11-15

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e-waste estimation studies.

  20. A non-linear dimension reduction methodology for generating data-driven stochastic input models

    SciTech Connect (OSTI)

    Ganapathysubramanian, Baskar; Zabaras, Nicholas

    2008-06-20

    Stochastic analysis of random heterogeneous media (polycrystalline materials, porous media, functionally graded materials) provides information of significance only if realistic input models of the topology and property variations are used. This paper proposes a framework to construct such input stochastic models for the topology and thermal diffusivity variations in heterogeneous media using a data-driven strategy. Given a set of microstructure realizations (input samples) generated from given statistical information about the medium topology, the framework constructs a reduced-order stochastic representation of the thermal diffusivity. This problem of constructing a low-dimensional stochastic representation of property variations is analogous to the problem of manifold learning and parametric fitting of hyper-surfaces encountered in image processing and psychology. Denote by M the set of microstructures that satisfy the given experimental statistics. A non-linear dimension reduction strategy is utilized to map M to a low-dimensional region, A. We first show that M is a compact manifold embedded in a high-dimensional input space R{sup n}. An isometric mapping F from M to a low-dimensional, compact, connected set A is contained in R{sup d}(d<input in the solution of stochastic partial differential equations that describe the evolution of dependant variables. A sparse grid collocation strategy (Smolyak algorithm) is utilized to solve these stochastic equations efficiently. We showcase the methodology by constructing low-dimensional input stochastic models to represent thermal diffusivity in two-phase microstructures. This model is used in analyzing the effect of topological variations of two-phase microstructures on the evolution of temperature in heat conduction processes.

  1. Variable energy constant current accelerator structure

    DOE Patents [OSTI]

    Anderson, Oscar A.

    1990-01-01

    A variable energy, constant current ion beam accelerator structure is disclosed comprising an ion source capable of providing the desired ions, a pre-accelerator for establishing an initial energy level, a matching/pumping module having means for focusing means for maintaining the beam current, and at least one main accelerator module for continuing beam focus, with means capable of variably imparting acceleration to the beam so that a constant beam output current is maintained independent of the variable output energy. In a preferred embodiment, quadrupole electrodes are provided in both the matching/pumping module and the one or more accelerator modules, and are formed using four opposing cylinder electrodes which extend parallel to the beam axis and are spaced around the beam at 90.degree. intervals with opposing electrodes maintained at the same potential. Adjacent cylinder electrodes of the quadrupole structure are maintained at different potentials to thereby reshape the cross section of the charged particle beam to an ellipse in cross section at the mid point along each quadrupole electrode unit in the accelerator modules. The beam is maintained in focus by alternating the major axis of the ellipse along the x and y axis respectively at adjacent quadrupoles. In another embodiment, electrostatic ring electrodes may be utilized instead of the quadrupole electrodes.

  2. Factors Affecting Power Output by Photovoltaic Cells Lesson

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

    Suzanne McClung Unit Title: Option C: Energy Subject: Chemistry Lesson Title: Factors Affecting Power Output by Photovoltaic Cells Grade Level(s): IB 2 (Senior - 3 rd year of chemistry) Lesson Length: 2-90 minute blocks with 30 minutes for wrap up in a 3 rd class period Date(s): * Learning Goals o Students will make observations of voltage and current in a solar panel system o Students will calculate power of a solar panel system o Students will determine the effect of a factor on the power

  3. US Nuclear Regulatory Commission Input to DOE Request for Information Smart

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

    Grid Implementation Input | Department of Energy US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input. Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New

  4. South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 74 184 63 73 62 87 31 22 191 201 1990's 17 47 26 34 154 62 178 10 0 18 2000's 63 6 3 15 2 86 75 0 2010's 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  5. Virginia Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Virginia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 127 443 454 375 209 414 75 141 643 428 1990's 59 240 245 538 1,195 445 716 350 148 179 2000's 493 239 124 368 145 192 39 89 89 247 2010's 159 89 48 130 301 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  6. Table 3. U.S. Inputs to biodiesel production

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

    U.S. Inputs to biodiesel production" "million pounds" ,"Feedstock inputs" ,"Vegetable oils",,,,,,,,,,,,"Animal fats" "Period","Canola oil",,"Corn oil",,"Cottonseed oil",,"Palm oil",,"Soybean oil",,"Other",,"Poultry",,"Tallow" 2014 "January",35.75,,72.72,,"W",,"W",,273,,"W",,2,,15

  7. Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 24 57 151 84 28 121 124 248 241 292 1990's 209 185 166 199 123 130 94 14 16 12 2000's 73 51 7 14 5 0 3 2 52 2010's 732 701 660 642 635 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  8. New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 774 720 582 328 681 509 362 464 492 592 1990's 205 128 96 154 160 90 147 102 103 111 2000's 180 86 66 58 91 84 92 9 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  9. Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 249 435 553 560 517 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Total Supplemental Supply of Natural Gas Louisiana Supplemental Supplies of

  10. Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 484 498 984 352 332 373 155 136 743 899 1990's 24 72 126 418 987 609 882 178 80 498 2000's 319 186 48 160 124 382 41 245 181 170 2010's 115 89 116 107 809 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  11. Stirling converters for space dynamic power concepts with 2 to 130 W{sub e} output

    SciTech Connect (OSTI)

    Ross, B.A.

    1995-12-31

    Three innovative Stirling converter concepts are described. Two concepts are based on Pluto Fast Flyby (PFF) mission requirements, where two General Purpose Heat Source (GPHS) modules provide the thermal input. The first concept (PFF2) considers a power system with two opposed Stirling converters; the second concept (PFF4) considers four opposed Stirling converters. For both concepts the Stirling converters are designed to vary their power production capability to compensate for the failure of one Stirling converter. While the net thermal efficiency of PFF4 is a few percentage points lower than PFF2, the total Stirling converter mass of PFF4 is half that for PFF2. The third concept (ITTI) is designed to supply 2 watts of power for weather stations on the Martian surface. The predicted thermal performance of the ITTI is low compared to PFF2 and PFF4, yet the ITTI concept offers significant advantages compared to currently available power systems at the 2-watt power level. All three concepts are based on long-life technology demonstrated by an 11-watt output Stirling generator that as of March 1995 has accumulated over 15,000 operating hours without maintenance.

  12. Efficient Screening of Climate Model Sensitivity to a Large Number of Perturbed Input Parameters [plus supporting information

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

    Covey, Curt; Lucas, Donald D.; Tannahill, John; Garaizar, Xabier; Klein, Richard

    2013-07-01

    Modern climate models contain numerous input parameters, each with a range of possible values. Since the volume of parameter space increases exponentially with the number of parameters N, it is generally impossible to directly evaluate a model throughout this space even if just 2-3 values are chosen for each parameter. Sensitivity screening algorithms, however, can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination.This can aid both model development and the uncertainty quantification (UQ) process. Here we report results from a parameter sensitivity screening algorithm hitherto untested in climate modeling,more » the Morris one-at-a-time (MOAT) method. This algorithm drastically reduces the computational cost of estimating sensitivities in a high dimensional parameter space because the sample size grows linearly rather than exponentially with N. It nevertheless samples over much of the N-dimensional volume and allows assessment of parameter interactions, unlike traditional elementary one-at-a-time (EOAT) parameter variation. We applied both EOAT and MOAT to the Community Atmosphere Model (CAM), assessing CAM’s behavior as a function of 27 uncertain input parameters related to the boundary layer, clouds, and other subgrid scale processes. For radiation balance at the top of the atmosphere, EOAT and MOAT rank most input parameters similarly, but MOAT identifies a sensitivity that EOAT underplays for two convection parameters that operate nonlinearly in the model. MOAT’s ranking of input parameters is robust to modest algorithmic variations, and it is qualitatively consistent with model development experience. Supporting information is also provided at the end of the full text of the article.« less

  13. Long-Term Wind Power Variability

    SciTech Connect (OSTI)

    Wan, Y. H.

    2012-01-01

    The National Renewable Energy Laboratory started collecting wind power data from large commercial wind power plants (WPPs) in southwest Minnesota with dedicated dataloggers and communication links in the spring of 2000. Over the years, additional WPPs in other areas were added to and removed from the data collection effort. The longest data stream of actual wind plant output is more than 10 years. The resulting data have been used to analyze wind power fluctuations, frequency distribution of changes, the effects of spatial diversity, and wind power ancillary services. This report uses the multi-year wind power data to examine long-term wind power variability.

  14. System and method of modulating electrical signals using photoconductive wide bandgap semiconductors as variable resistors

    DOE Patents [OSTI]

    Harris, John Richardson; Caporaso, George J; Sampayan, Stephen E

    2013-10-22

    A system and method for producing modulated electrical signals. The system uses a variable resistor having a photoconductive wide bandgap semiconductor material construction whose conduction response to changes in amplitude of incident radiation is substantially linear throughout a non-saturation region to enable operation in non-avalanche mode. The system also includes a modulated radiation source, such as a modulated laser, for producing amplitude-modulated radiation with which to direct upon the variable resistor and modulate its conduction response. A voltage source and an output port, are both operably connected to the variable resistor so that an electrical signal may be produced at the output port by way of the variable resistor, either generated by activation of the variable resistor or propagating through the variable resistor. In this manner, the electrical signal is modulated by the variable resistor so as to have a waveform substantially similar to the amplitude-modulated radiation.

  15. Turbo-generator control with variable valve actuation

    DOE Patents [OSTI]

    Vuk, Carl T.

    2011-02-22

    An internal combustion engine incorporating a turbo-generator and one or more variably activated exhaust valves. The exhaust valves are adapted to variably release exhaust gases from a combustion cylinder during a combustion cycle to an exhaust system. The turbo-generator is adapted to receive exhaust gases from the exhaust system and rotationally harness energy therefrom to produce electrical power. A controller is adapted to command the exhaust valve to variably open in response to a desired output for the turbo-generator.

  16. TRUST: A Computer Program for Variably Saturated Flow in Multidimensional, Deformable Media

    SciTech Connect (OSTI)

    Reisenauer, A. E.; Key, K. T.; Narasimhan, T. N.; Nelson, R. W.

    1982-01-01

    The computer code, TRUST. provides a versatile tool to solve a wide spectrum of fluid flow problems arising in variably saturated deformable porous media. The governing equations express the conservation of fluid mass in an elemental volume that has a constant volume of solid. Deformation of the skeleton may be nonelastic. Permeability and compressibility coefficients may be nonlinearly related to effective stress. Relationships between permeability and saturation with pore water pressure in the unsaturated zone may include hysteresis. The code developed by T. N. Narasimhan grew out of the original TRUNP code written by A. L. Edwards. The code uses an integrated finite difference algorithm for numerically solving the governing equation. Narching in time is performed by a mixed explicit-implicit numerical procedure in which the time step is internally controlled. The time step control and related feature in the TRUST code provide an effective control of the potential numerical instabilities that can arise in the course of solving this difficult class of nonlinear boundary value problem. This document brings together the equations, theory, and users manual for the code as well as a sample case with input and output.

  17. DOE Seeks Industry Input on Nickel Disposition Strategy

    Broader source: Energy.gov [DOE]

    WASHINGTON, D.C. – The Energy Department’s prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel.

  18. Fee Determinations: Requirement to Obtain Acquisition Executive's Input

    Broader source: Energy.gov [DOE]

    On January 28, 2013, the Deputy Secretary issued the attached memorandum to the Department's senior officials requiring any Fee Determining Official whose contract falls under the cognizance of an Acquisition Executive to brief and obtain the input of that Acquisition Executive before determining earned fee under the contract.

  19. Method and system for managing an electrical output of a turbogenerator

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean; Vuk, Carl Thomas

    2009-06-02

    The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

  20. Method and system for managing an electrical output of a turbogenerator

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean; Vuk, Carl Thomas

    2010-08-24

    The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

  1. High lumen compact fluorescents boost light output in new fixtures

    SciTech Connect (OSTI)

    1992-12-31

    Some compact fluorescent lamps aren`t so compact. General Electric (GE), OSRAM, and Philips have been expanding offerings in longer, more powerful, hard wired CFLs that generate enough light to serve applications once limited to conventional fluorescents and metal halide systems. All three of these manufacturers have for some time offered 18- to 40-watt high-output CFLs, which use a fluorescent tube doubled back on itself to produce a lot of light in a compact source. Now GE has introduced an even larger, more powerful 50-watt unit, and OSRAM is soon to follow suit with a 55-watt lamp. These new entries to the field of turbocharged CFLs can provide general lighting at ceiling heights of 12 feet or more as well as indirect lighting, floodlighting, and wall washing. They are such a concentrated source of light that they can provide the desired illumination using fewer lamps and fixtures than would be needed with competing sources.

  2. VARIABLE TIME DELAY MEANS

    DOE Patents [OSTI]

    Clemensen, R.E.

    1959-11-01

    An electrically variable time delay line is described which may be readily controlled simuitaneously with variable impedance matching means coupied thereto such that reflections are prevented. Broadly, the delay line includes a signal winding about a magnetic core whose permeability is electrically variable. Inasmuch as the inductance of the line varies directly with the permeability, the time delay and characteristic impedance of the line both vary as the square root of the permeability. Consequently, impedance matching means may be varied similariy and simultaneously w:th the electrically variable permeability to match the line impedance over the entire range of time delay whereby reflections are prevented.

  3. Variable Frequency Drives

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

    Marketing Toolkit The Benefits of Variable Frequency Drives (VFDs) VFDs help adjust motor speeds to match loads and improve efficiency while conserving energy. The benefits...

  4. Method and apparatus for improving resolution in spectrometers processing output steps from non-ideal signal sources

    DOE Patents [OSTI]

    Warburton, William K.; Momayezi, Michael

    2006-06-20

    A method and apparatus for processing step-like output signals (primary signals) generated by non-ideal, for example, nominally single-pole ("N-1P ") devices. An exemplary method includes creating a set of secondary signals by directing the primary signal along a plurality of signal paths to a signal summation point, summing the secondary signals reaching the signal summation point after propagating along the signal paths to provide a summed signal, performing a filtering or delaying operation in at least one of said signal paths so that the secondary signals reaching said summing point have a defined time correlation with respect to one another, applying a set of weighting coefficients to the secondary signals propagating along said signal paths, and performing a capturing operation after any filtering or delaying operations so as to provide a weighted signal sum value as a measure of the integrated area QgT of the input signal.

  5. New Research Center to Increase Safety and Power Output of U...

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

    Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors New Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors May 3, 2011 - 12:00am ...

  6. Output-Based Regulations: A Handbook for Air Regulators (U.S...

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

    Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 The U.S. ...

  7. Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 257 951 718 594 102 130 182 109 391 219 1990's 51 92 155 126 0 27 42 18 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  8. South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 24 50 1 0 0 0 0 10 16 1990's 10 3 10 9 61 37 87 30 4 5 2000's 13 5 3 57 5 4 0 1 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  9. Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 12 42 90 39 25 36 13 26 36 78 1990's 3 8 12 13 84 33 73 19 4 11 2000's 13 0 1 1 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  10. Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 0 1 14 2 9 19 4 4 9 1990's 1,240 1,076 1 3 1 1 0 0 0 17 2000's 0 1,505 2 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release

  11. Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 0 0 0 0 0 0 0 1990's 0 6 3 4 9 4 5 6 0 1 2000's 7 104 2 10 12 9 2 2 1 2 2010's 1 2 3 3 5 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  12. Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15 13 15 11 11 9 10 21 79 154 1990's 181 154 180 4 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  13. Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 2 4 13 2 6 14 1 1 2 5 1990's 1 1 1 3 5 2 21 5 21 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  14. Arkansas Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Arkansas Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 7 8 6 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  15. Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 55 135 56 20 13 12 9 0 2 18 1990's 4,410 4,262 3,665 3,597 3,032 1 1 2 0 0 2000's 6 0 0 7 17 0 W 5 2 2 2010's 1 0 6 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016

  16. District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic

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

    Feet) Input Supplemental Fuels (Million Cubic Feet) District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 2 1 46 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016

  17. Florida Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Florida Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1 3 1 0 3 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  18. Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,190 2,993 2,899 2,775 2,449 2,655 2,630 2,461 2,801 2,844 1990's 2,817 2,725 2,711 2,705 2,831 2,793 2,761 2,617 2,715 2,752 2000's 2,769 2,689 2,602 2,602 2,626 2,606 2,613 2,683 2,559 2,447 2010's 2,472 2,467 2,510 2,658 2,743 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  19. Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 36,713 29,509 19,005 19,734 17,308 19,805 22,980 12,514 9,803 9,477 1990's 8,140 6,869 8,042 9,760 7,871 6,256 3,912 4,165 2,736 2,527 2000's 1,955 763 456 52 14 15 13 11 15 20 2010's 17 1 1 63 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  20. Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1,602 5,056 3,496 4,142 4,027 2,711 2,351 3,890 4,243 3,512 1990's 3,015 3,077 3,507 3,232 2,457 3,199 3,194 3,580 3,149 5,442 2000's 5,583 5,219 1,748 2,376 2,164 1,988 1,642 635 30 1 2010's 1 5 1 6 69 - = No Data Reported; -- = Not Applicable; NA = Not

  1. Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 57 64 68 23 53 45 44 40 34 82 1990's 81 46 45 84 123 96 301 137 17 12 2000's 44 39 23 143 30 31 46 40 27 3 2010's 2 1 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  2. New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,574 11,504 9,786 9,896 8,616 13,421 12,099 13,774 14,846 14,539 1990's 9,962 14,789 14,362 14,950 7,737 7,291 6,778 6,464 9,082 5,761 2000's 8,296 12,330 3,526 473 530 435 175 379 489 454 2010's 457 392 139 255 530 - = No Data Reported; -- = Not Applicable;

  3. New Mexico Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New Mexico Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1 3 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  4. New York Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New York Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3,226 4,722 2,350 1,646 1,792 1,797 707 416 728 1,239 1990's 385 678 1,190 1,638 1,460 1,490 1,259 881 699 459 2000's 858 970 1 18 8 14 4 13 7 6 2010's 2 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  5. North Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) North Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 7 42 58 59 60 43 43 0 0 0 1990's 0 0 2 4 3 0 0 0 0 21 2000's 2 0 1 1 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  6. North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 196 417 102 0 8,335 40,370 49,847 51,543 49,014 54,408 1990's 53,144 52,557 58,496 57,680 57,127 57,393 55,867 53,179 54,672 53,185 2000's 49,190 51,004 53,184 53,192 47,362 51,329 54,361 51,103 50,536 53,495 2010's 54,813 51,303 52,541 45,736 48,394 - = No

  7. Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 69,169 69,850 64,812 62,032 43,866 24,444 5,182 18 44 348 1990's 849 891 1,051 992 1,432 904 1,828 1,423 1,194 1,200 2000's 1,442 1,149 79 1,002 492 579 423 608 460 522 2010's 353 296 366 416 641 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  8. Oregon Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Oregon Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 24 3 6 6 10 10 6 3 1990's 3 4 2 3 2 2 2 2 2 3 2000's 2 2 5 5 2 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  9. Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3,127 10,532 5,621 3,844 82 221 196 247 254 305 1990's 220 222 132 110 252 75 266 135 80 119 2000's 261 107 103 126 131 132 124 145 123 205 2010's 4 2 2 3 20 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  10. Kentucky Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Kentucky Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 42 2 131 259 94 4 1 0 6 44 1990's 2 2 5 16 50 6 45 24 2 3 2000's 10 2 1 98 0 15 3 124 15 18 2010's 5 8 1 29 52 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  11. Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15,366 21,828 17,586 10,732 6,545 3,668 2,379 1,404 876 692 1990's 317 120 105 61 154 420 426 147 68 134 2000's 26 16 137 324 80 46 51 15 13 10 2010's 0 3 8 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  12. Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3 3,038 2,473 2,956 2,773 2,789 2,754 2,483 2,402 2,402 1990's 19,106 15,016 14,694 12,795 13,688 21,378 21,848 22,238 21,967 20,896 2000's 12,423 4,054 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  13. Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 65 60 2,129 1,278 326 351 1 1 2 1,875 1990's 0 0 0 0 371 4 785 719 40 207 2000's 972 31 62 1,056 917 15 78 66 6 10 2010's 18 172 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  14. Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 1,838 63 2,006 2,470 2,689 2,142 2,199 1,948 2,088 1990's 2,361 2,032 1,437 791 890 15 315 134 11 4 2000's 339 6 1 13 39 16 19 33 28 18 2010's 12 9 4 2 376 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  15. Nevada Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Nevada Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 4 0 2 2 2 4 11 11 32 37 1990's 125 0 30 38 9 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  16. Agricultural and Environmental Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    K. Rasmuson; K. Rautenstrauch

    2004-09-14

    This analysis is one of 10 technical reports that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN) (i.e., the biosphere model). It documents development of agricultural and environmental input parameters for the biosphere model, and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for the repository at Yucca Mountain. The ERMYN provides the TSPA with the capability to perform dose assessments. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships between the major activities and their products (the analysis and model reports) that were planned in ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the ERMYN and its input parameters.

  17. Microchannel cross load array with dense parallel input

    DOE Patents [OSTI]

    Swierkowski, Stefan P.

    2004-04-06

    An architecture or layout for microchannel arrays using T or Cross (+) loading for electrophoresis or other injection and separation chemistry that are performed in microfluidic configurations. This architecture enables a very dense layout of arrays of functionally identical shaped channels and it also solves the problem of simultaneously enabling efficient parallel shapes and biasing of the input wells, waste wells, and bias wells at the input end of the separation columns. One T load architecture uses circular holes with common rows, but not columns, which allows the flow paths for each channel to be identical in shape, using multiple mirror image pieces. Another T load architecture enables the access hole array to be formed on a biaxial, collinear grid suitable for EDM micromachining (square holes), with common rows and columns.

  18. Alabama Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Alabama Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 50 23 91 9 54 14 3 2 17 16 1990's 320 332 171 410 69 0 18 21 2 4 2000's 0 0 0 22 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  19. Wyoming Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Wyoming Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 124 222 518 373 271 316 339 303 291 167 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  20. Present and Future Modes of Low Frequency Climate Variability

    SciTech Connect (OSTI)

    Cane, Mark A.

    2014-02-20

    This project addressed area (1) of the FOA, “Interaction of Climate Change and Low Frequency Modes of Natural Climate Variability”. Our overarching objective is to detect, describe and understand the changes in low frequency variability between model simulations of the preindustrial climate and simulations of a doubled CO2 climate. The deliverables are a set of papers providing a dynamical characterization of interannual, decadal, and multidecadal variability in coupled models with attention to the changes in this low frequency variability between pre-industrial concentrations of greenhouse gases and a doubling of atmospheric concentrations of CO2. The principle mode of analysis, singular vector decomposition, is designed to advance our physical, mechanistic understanding. This study will include external natural variability due to solar and volcanic aerosol variations as well as variability internal to the climate system. An important byproduct is a set of analysis tools for estimating global singular vector structures from the archived output of model simulations.

  1. U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Flex applications created using the Flex SDK may not properly filter HTML code from user-supplied input before displaying the input.

  2. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON

    Office of Scientific and Technical Information (OSTI)

    INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS Wei Tang, Jian Chen, Xinghua Yu, David A. Frederick, Zhili Feng Oak Ridge National Laboratory, Oak Ridge, TN Keywords: Eurofer'97, friction stir welding, microstructure, microhardness Abstract Reduced-activation ferritic/martensitic (RAFM) steels are an important class of structural materials for fusion reactor internals developed in recent years because of their improved irradiation

  3. PERSPECTIVES ON A DOE CONSEQUENCE INPUTS FOR ACCIDENT ANALYSIS APPLICATIONS

    SciTech Connect (OSTI)

    , K; Jonathan Lowrie, J; David Thoman , D; Austin Keller , A

    2008-07-30

    Department of Energy (DOE) accident analysis for establishing the required control sets for nuclear facility safety applies a series of simplifying, reasonably conservative assumptions regarding inputs and methodologies for quantifying dose consequences. Most of the analytical practices are conservative, have a technical basis, and are based on regulatory precedent. However, others are judgmental and based on older understanding of phenomenology. The latter type of practices can be found in modeling hypothetical releases into the atmosphere and the subsequent exposure. Often the judgments applied are not based on current technical understanding but on work that has been superseded. The objective of this paper is to review the technical basis for the major inputs and assumptions in the quantification of consequence estimates supporting DOE accident analysis, and to identify those that could be reassessed in light of current understanding of atmospheric dispersion and radiological exposure. Inputs and assumptions of interest include: Meteorological data basis; Breathing rate; and Inhalation dose conversion factor. A simple dose calculation is provided to show the relative difference achieved by improving the technical bases.

  4. Enzymatic Filter for Improved Separation of Output Signals in Enzyme Logic Systems towards 'Sense and Treat' Medicine

    SciTech Connect (OSTI)

    Mailloux, Shay; Zavalov, Oleksandr; Guz, Nataliia; Katz, Evgeny; Bocharova, Vera

    2014-01-01

    The major challenge for application of autonomous medical sensing systems is the noise produced by non-zero physiological concentrations of the sensed target. If the level of noise is high, then a real signal indicating abnormal changes in the physiological levels of the analytes might be hindered. Inevitably, this could lead to wrong diagnostics and treatment, and would have a negative impact on human health. Here, we report the realization of a filter system implemented to improve both the fidelity of sensing and accuracy of consequent drug release. A new filtering method was tested in the sensing system for the diagnosis of liver injury. This sensing system used the enzymes alanine transaminase (ALT) and aspartate transaminase (AST) as the inputs. Furthermore, the output of the sensing system was designed to trigger drug release, and therefore, the role of the filter in drug release was also investigated. The drug release system consists of beads with an iron - cross-linked alginate core coated with different numbers of layers of poly-L-lysine. Dissolution of the beads by the output signals of the sensing system in the presence and absence of the filter was monitored by release of encapsulated in the beads rhodamine - 6G dye mimicking release of a real drug. The obtained results offer a new view on the problem of noise reduction for systems intended to be part of sense and treat medical devices.

  5. Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site

    SciTech Connect (OSTI)

    Pinckard, Margaret J.; Brown, Richard E.; Mills, Evan; Lutz, James D.; Moezzi, Mithra M.; Atkinson, Celina; Bolduc, Chris; Homan, Gregory K.; Coughlin, Katie

    2005-07-13

    The Home Energy Saver (HES, http://HomeEnergySaver.lbl.gov) is an interactive web site designed to help residential consumers make decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major categories (end uses); heating, cooling, water heating, major appliances, lighting, and miscellaneous equipment. The approach taken by the Home Energy Saver is to provide users with initial results based on a minimum of user input, allowing progressively greater control in specifying the characteristics of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations. Real-world electricity tariffs are used for many locations, making the bill estimates even more accurate. Where information about the house is not available from the user, default values are used based on end-use surveys and engineering studies. An extensive body of qualitative decision-support information augments the analytical results.

  6. The importance of input variables to a neural network fault-diagnostic system for nuclear power plants

    SciTech Connect (OSTI)

    Lanc, T.L.

    1992-01-01

    This thesis explores safety enhancement for nuclear power plants. Emergency response systems currently in use depend mainly on automatic systems engaging when certain parameters go beyond a pre-specified safety limit. Often times the operator has little or no opportunity to react since a fast scram signal shuts down the reactor smoothly and efficiently. These accidents are of interest to technical support personnel since examining the conditions that gave rise to these situations help determine causality. In many other cases an automated fault-diagnostic advisor would be a valuable tool in assisting the technicians and operators to determine what just happened and why.

  7. The importance of input variables to a neural network fault-diagnostic system for nuclear power plants

    SciTech Connect (OSTI)

    Lanc, T.L.

    1992-12-31

    This thesis explores safety enhancement for nuclear power plants. Emergency response systems currently in use depend mainly on automatic systems engaging when certain parameters go beyond a pre-specified safety limit. Often times the operator has little or no opportunity to react since a fast scram signal shuts down the reactor smoothly and efficiently. These accidents are of interest to technical support personnel since examining the conditions that gave rise to these situations help determine causality. In many other cases an automated fault-diagnostic advisor would be a valuable tool in assisting the technicians and operators to determine what just happened and why.

  8. Understanding Biomass Feedstock Variability

    SciTech Connect (OSTI)

    Kevin L. Kenney; William A. Smith; Garold L. Gresham; Tyler L. Westover

    2013-01-01

    If the singular goal of biomass logistics and the design of biomass feedstock supply systems is to reduce the per ton supply cost of biomass, these systems may very well develop with ultimate unintended consequences of highly variable and reduced quality biomass feedstocks. This paper demonstrates that due to inherent species variabilities, production conditions, and differing harvest, collection, and storage practices, this is a very real scenario that biomass producers and suppliers as well as conversion developers should be aware of. Biomass feedstock attributes of ash, carbohydrates, moisture, and particle morphology will be discussed. We will also discuss specifications for these attributes, inherent variability of these attributes in biomass feedstocks, and approaches and solutions for reducing variability for improving feedstock quality.

  9. Understanding Biomass Feedstock Variability

    SciTech Connect (OSTI)

    Kevin L. Kenney; Garold L. Gresham; William A. Smith; Tyler L. Westover

    2013-01-01

    If the singular goal of biomass logistics and the design of biomass feedstock supply systems is to reduce the per-ton supply cost of biomass, these systems may very well develop with ultimate unintended consequences of highly variable and reduced quality biomass feedstocks. This paper demonstrates that, due to inherent species variabilities, production conditions and differing harvest, collection and storage practices, this is a very real scenario that biomass producers and suppliers as well as conversion developers should be aware of. Biomass feedstock attributes of ash, carbohydrates, moisture and particle morphology will be discussed. We will also discuss specifications for these attributes, inherent variability of these attributes in biomass feedstocks, and approaches and solutions for reducing variability for improving feedstock quality.

  10. Method for optimizing the mechanical output of a fluid pressure free piston engine

    SciTech Connect (OSTI)

    Dibrell, E.W.; Schaich, W.A.

    1988-07-05

    The method is described for minimizing rotational speed variations of a centrifugal piston expander engine comprising the steps of: (1) supplying a pressured gas to a centrifugal piston expander engine having a rotatable output element and a discharge conduit for cooled exhaust gas; (2) expanding and cooling the pressured gas in the centrifugal piston expander engine to produce cyclically varying oppositely directed, positive and negative torques on the rotatable output shaft; (3) driving a rotary load in the positive torque direction by the rotatable output element through one rotatable element of a unidirectional clutch having two rotating elements relatively movable in only the negative torque direction; and (4) connecting a battery operated motor-generator unit to the rotatable output shaft to supplement the rotary speed of the output shaft during periods of negative torque output by the centrifugal piston expander engine and to recharge the battery during periods of maximum positive torque output of the centrifugal expander engine.

  11. VARIABLE-THROW CAM

    DOE Patents [OSTI]

    Godsil, E.C.; Robinson, E.Y.

    1963-07-16

    A variable-throw cam comprising inner and outer eccentric sleeves which are adjustably locked together is described. The cam throw is varied by unlocking the inner and outer sleeves, rotating the outer sleeve relative to the inner one until the desired throw is obtained, and locking the sleeves together again. The cam is useful in applications wherein a continuously-variable throw is required, e.g., ram-and-die pressing operations, cyclic fatigue testing of materials, etc. (AEC)

  12. PV output smoothing using a battery and natural gas engine-generator.

    SciTech Connect (OSTI)

    Johnson, Jay; Ellis, Abraham; Denda, Atsushi; Morino, Kimio; Shinji, Takao; Ogata, Takao; Tadokoro, Masayuki

    2013-02-01

    In some situations involving weak grids or high penetration scenarios, the variability of photovoltaic systems can affect the local electrical grid. In order to mitigate destabilizing effects of power fluctuations, an energy storage device or other controllable generation or load can be used. This paper describes the development of a controller for coordinated operation of a small gas engine-generator set (genset) and a battery for smoothing PV plant output. There are a number of benefits derived from using a traditional generation resource in combination with the battery; the variability of the photovoltaic system can be reduced to a specific level with a smaller battery and Power Conditioning System (PCS) and the lifetime of the battery can be extended. The controller was designed specifically for a PV/energy storage project (Prosperity) and a gas engine-generator (Mesa Del Sol) currently operating on the same feeder in Albuquerque, New Mexico. A number of smoothing simulations of the Prosperity PV were conducted using power data collected from the site. By adjusting the control parameters, tradeoffs between battery use and ramp rates could be tuned. A cost function was created to optimize the control in order to balance, in this example, the need to have low ramp rates with reducing battery size and operation. Simulations were performed for cases with only a genset or battery, and with and without coordinated control between the genset and battery, e.g., without the communication link between sites or during a communication failure. The degree of smoothing without coordinated control did not change significantly because the battery dominated the smoothing response. It is anticipated that this work will be followed by a field demonstration in the near future.

  13. Method of validating measurement data of a process parameter from a plurality of individual sensor inputs

    DOE Patents [OSTI]

    Scarola, Kenneth; Jamison, David S.; Manazir, Richard M.; Rescorl, Robert L.; Harmon, Daryl L.

    1998-01-01

    A method for generating a validated measurement of a process parameter at a point in time by using a plurality of individual sensor inputs from a scan of said sensors at said point in time. The sensor inputs from said scan are stored and a first validation pass is initiated by computing an initial average of all stored sensor inputs. Each sensor input is deviation checked by comparing each input including a preset tolerance against the initial average input. If the first deviation check is unsatisfactory, the sensor which produced the unsatisfactory input is flagged as suspect. It is then determined whether at least two of the inputs have not been flagged as suspect and are therefore considered good inputs. If two or more inputs are good, a second validation pass is initiated by computing a second average of all the good sensor inputs, and deviation checking the good inputs by comparing each good input including a present tolerance against the second average. If the second deviation check is satisfactory, the second average is displayed as the validated measurement and the suspect sensor as flagged as bad. A validation fault occurs if at least two inputs are not considered good, or if the second deviation check is not satisfactory. In the latter situation the inputs from each of all the sensors are compared against the last validated measurement and the value from the sensor input that deviates the least from the last valid measurement is displayed.

  14. Characterization of industrial process waste heat and input heat streams

    SciTech Connect (OSTI)

    Wilfert, G.L.; Huber, H.B.; Dodge, R.E.; Garrett-Price, B.A.; Fassbender, L.L.; Griffin, E.A.; Brown, D.R.; Moore, N.L.

    1984-05-01

    The nature and extent of industrial waste heat associated with the manufacturing sector of the US economy are identified. Industry energy information is reviewed and the energy content in waste heat streams emanating from 108 energy-intensive industrial processes is estimated. Generic types of process equipment are identified and the energy content in gaseous, liquid, and steam waste streams emanating from this equipment is evaluated. Matchups between the energy content of waste heat streams and candidate uses are identified. The resultant matrix identifies 256 source/sink (waste heat/candidate input heat) temperature combinations. (MHR)

  15. Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Total Supplemental Supply of Natural Gas Alaska Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual

  16. New runners to boost peak output at Niagara Falls

    SciTech Connect (OSTI)

    Reason, J.

    1990-01-01

    Retrofitted Francis turbines will improve the value of power generated from Niagara Falls by increasing the peak output of the hydroturbine units at the Robert Moses hydroelectric plant. The computer-designed runners are expected to add 330 MW to the peak capacity of the 28-yr-old plant and significantly increase the efficiency at high flow rates. Next year, the first new runner will be retrofit to the highly instrumented Unit 4. If the retrofit unit meets it increased-performance expectations, the other 12 units will be upgraded between 1993 and 1998. The work is part of an overall expansion of the Niagara Power Project designed to made better use of the power value of Niagara river water, within the constraints of a treaty with Canada and the scenic value of the falls. These constraints, together with varying flows and heads, introduced enormous complexities into the selection and design of the new runners. The alterations being made to Unit 4, in addition to replacing the turbine runner, include modifying the draft tube-liners, increasing the wicket-gate stroke, replacing the turbine discharge ring (to accommodate longer blades), making various electrical modifications to the generator, and replacing the transformer. But the key to the retrofit is the computer-designed runner. Charles Grose, senior project manager, New York Power Authority, White Plains, NY, emphasizes that such computer design techniques were not available a few years ago; neither were the computer-controlled machining techniques necessary to manufacture the new runners. Other aspects of the upgrading that were analyzed include runner stability, resonance, shaft torsional stress, and runaway speed.

  17. Summary of Input Request for Information DE-FOA-0001346 | Department of

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

    Energy Input Request for Information DE-FOA-0001346 Summary of Input Request for Information DE-FOA-0001346 PDF icon September 2015 More Documents & Publications Summary of Stakeholder Input From May 2015 Request for Information Summary of Input Request for Information DE-FOA-0001346 DE-FOA-0001346 -- Request for Information (RFI) Summary of Input Request for Information DE-FOA-0001346

  18. Residential oil burners with low input and two stages firing

    SciTech Connect (OSTI)

    Butcher, T.; Krajewski, R.; Leigh, R.

    1997-12-31

    The residential oil burner market is currently dominated by the pressure-atomized, retention head burner. At low firing rates pressure atomizing nozzles suffer rapid fouling of the small internal passages, leading to bad spray patterns and poor combustion performance. To overcome the low input limitations of conventional burners, a low pressure air-atomized burner has been developed watch can operate at fining rates as low as 0.25 gallons of oil per hour (10 kW). In addition, the burner can be operated in a high/low fining rate mode. Field tests with this burner have been conducted at a fixed input rate of 0.35 gph (14 kW) with a side-wall vented boiler/water storage tank combination. At the test home, instrumentation was installed to measure fuel and energy flows and record trends in system temperatures. Laboratory efficiency testing with water heaters and boilers has been completed using standard single purpose and combined appliance test procedures. The tests quantify benefits due to low firing rates and other burner features. A two stage oil burner gains a strong advantage in rated efficiency while maintaining capacity for high domestic hot water and space heating loads.

  19. Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,868 9,133 8,877 7,927 9,137 8,934 8,095 8,612 10,322 9,190 1990's 15,379 6,778 7,158 8,456 8,168 7,170 6,787 6,314 5,292 4,526 2000's 4,772 5,625 5,771 5,409 5,308 5,285 6,149 6,869 6,258 7,527 2010's 5,148 4,268 4,412 4,077 4,120 - = No Data Reported; -- = Not

  20. RF Input Power Couplers for High Current SRF Applications

    SciTech Connect (OSTI)

    Khan, V. F.; Anders, W.; Burrill, Andrew; Knobloch, Jens; Kugeler, Oliver; Neumann, Axel; Wang, Haipeng

    2014-12-01

    High current SRF technology is being explored in present day accelerator science. The bERLinPro project is presently being built at HZB to address the challenges involved in high current SRF machines with the goal of generating and accelerating a 100 mA electron beam to 50 MeV in continuous wave (cw) mode at 1.3 GHz. One of the main challenges in this project is that of handling the high input RF power required for the photo-injector as well as booster cavities where there is no energy recovery process. A high power co-axial input power coupler is being developed to be used for the photo-injector and booster cavities at the nominal beam current. The coupler is based on the KEK–cERL design and has been modified to minimise the penetration of the coupler tip in the beam pipe without compromising on beam-power coupling (Qext ~105). Herein we report on the RF design of the high power (115 kW per coupler, dual couplers per cavity) bERLinPro (BP) coupler along with initial results on thermal calculations. We summarise the RF conditioning of the TTF-III couplers (modified for cw operation) performed in the past at BESSY/HZB. A similar conditioning is envisaged in the near future for the low current SRF photo-injector and the bERLinPro main linac cryomodule.

  1. Heat transfer analysis in Stirling engine heat input system

    SciTech Connect (OSTI)

    Chung, W.; Kim, S.

    1995-12-31

    One of the major factor in commercialization of Stirling engine is mass productivity, and the heat input system including tubular heater is one of the obstacles to mass production because of its complexity in shape and difficulty in manufacturing, which resulted from using oxidation-resistant, low-creep alloys which are not easy to machine and weld. Therefore a heater heat exchanger which is very simple in shape and easy to make has been devised, and a burner system appropriate to this heater also has been developed. In this paper specially devised heat input system which includes a heater shell shaped like U-cup and a flame tube located in the heater shell is analyzed in point of heat transfer processes to find optimum heat transfer. To enhance the heat transfer from the flame tube to the heater shell wall, it is required that the flame tube diameter be enlarged as close to the heater shell diameter as possible, and the flame tube temperature be raised as high as possible. But the enlargement of the flame tube diameter should be restricted by the state of combustion affected by hydraulic resistance of combustion gas, and the boost of the flame tube temperature should be considered carefully in the aspects of the flame tube`s service life.

  2. Validation of Power Output for the WIND Toolkit

    SciTech Connect (OSTI)

    King, J.; Clifton, A.; Hodge, B. M.

    2014-09-01

    Renewable energy integration studies require wind data sets of high quality with realistic representations of the variability, ramping characteristics, and forecast performance for current wind power plants. The Wind Integration National Data Set (WIND) Toolkit is meant to be an update for and expansion of the original data sets created for the weather years from 2004 through 2006 during the Western Wind and Solar Integration Study and the Eastern Wind Integration Study. The WIND Toolkit expands these data sets to include the entire continental United States, increasing the total number of sites represented, and it includes the weather years from 2007 through 2012. In addition, the WIND Toolkit has a finer resolution for both the temporal and geographic dimensions. Three separate data sets will be created: a meteorological data set, a wind power data set, and a forecast data set. This report describes the validation of the wind power data set.

  3. Statistical Characterization of Solar Photovoltaic Power Variability at Small Timescales: Preprint

    SciTech Connect (OSTI)

    Shedd, S.; Hodge, B.-M.; Florita, A.; Orwig, K.

    2012-08-01

    Integrating large amounts of variable and uncertain solar photovoltaic power into the electricity grid is a growing concern for power system operators in a number of different regions. Power system operators typically accommodate variability, whether from load, wind, or solar, by carrying reserves that can quickly change their output to match the changes in the solar resource. At timescales in the seconds-to-minutes range, this is known as regulation reserve. Previous studies have shown that increasing the geographic diversity of solar resources can reduce the short term-variability of the power output. As the price of solar has decreased, the emergence of very large PV plants (greater than 10 MW) has become more common. These plants present an interesting case because they are large enough to exhibit some spatial smoothing by themselves. This work examines the variability of solar PV output among different arrays in a large ({approx}50 MW) PV plant in the western United States, including the correlation in power output changes between different arrays, as well as the aggregated plant output, at timescales ranging from one second to five minutes.

  4. Variable capacity gasification burner

    SciTech Connect (OSTI)

    Saxon, D.I.

    1985-03-05

    A variable capacity burner that may be used in gasification processes, the burner being adjustable when operating in its intended operating environment to operate at two different flow capacities, with the adjustable parts being dynamically sealed within a statically sealed structural arrangement to prevent dangerous blow-outs of the reactants to the atmosphere.

  5. Variable thrust cartridge

    DOE Patents [OSTI]

    Taleyarkhan, Rusi P.

    2000-11-07

    The present invention is a variable thrust cartridge comprising a water-molten aluminum reaction chamber from which a slug is propelled. The cartridge comprises a firing system that initiates a controlled explosion from the reaction chamber. The explosive force provides a thrust to a slug, preferably contained within the cartridge.

  6. Analysis of a teetered, variable-speed rotor: final report

    SciTech Connect (OSTI)

    Weber, T.L.; Wilson, R.E.; Walker, S.N. . Dept. of Mechanical Engineering)

    1991-06-01

    A computer model of a horizontal axis wind turbine (HOOT) with four structural degrees of freedom has been derived and verified. The four degrees of freedom include flapwise motion of the blades, teeter motion, and variable rotor speed. Options for the variable rotor speed include synchronous, induction, and constant-tip speed generator models with either start, stop, or normal operations. Verification is made by comparison with analytical solutions and mean and cyclic ESI-80 data. The Veers full-field turbulence model is used as a wind input for a synchronous and induction generator test case during normal operation. As a result of the comparison, it is concluded that the computer model can be used to predict accurately mean and cyclic loads with a turbulent wind input. 47 refs., 19 figs.

  7. V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis...

  8. T-602: BlackBerry Enterprise Server Input Validation Flaw in...

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

    02: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks T-602: BlackBerry Enterprise Server Input Validation...

  9. V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis...

  10. U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The VPN management interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser.

  11. V-112: Microsoft SharePoint Input Validation Flaws Permit Cross...

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

    Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial...

  12. BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends...

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

    Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines June 22, 2015 - ...

  13. Variable laser attenuator

    DOE Patents [OSTI]

    Foltyn, S.R.

    1987-05-29

    The disclosure relates to low loss, high power variable attenuators comprising one or more transmissive and/or reflective multilayer dielectric filters. The attenuator is particularly suitable to use with unpolarized lasers such as excimer lasers. Beam attenuation is a function of beam polarization and the angle of incidence between the beam and the filter and is controlled by adjusting the angle of incidence the beam makes to the filter or filters. Filters are selected in accordance with beam wavelength. 9 figs.

  14. Variable laser attenuator

    DOE Patents [OSTI]

    Foltyn, Stephen R.

    1988-01-01

    The disclosure relates to low loss, high power variable attenuators comprng one or more transmissive and/or reflective multilayer dielectric filters. The attenuator is particularly suitable to use with unpolarized lasers such as excimer lasers. Beam attenuation is a function of beam polarization and the angle of incidence between the beam and the filter and is controlled by adjusting the angle of incidence the beam makes to the filter or filters. Filters are selected in accordance with beam wavelength.

  15. Variable depth core sampler

    DOE Patents [OSTI]

    Bourgeois, P.M.; Reger, R.J.

    1996-02-20

    A variable depth core sampler apparatus is described comprising a first circular hole saw member, having longitudinal sections that collapses to form a point and capture a sample, and a second circular hole saw member residing inside said first hole saw member to support the longitudinal sections of said first hole saw member and prevent them from collapsing to form a point. The second hole saw member may be raised and lowered inside said first hole saw member. 7 figs.

  16. Variable percentage sampler

    DOE Patents [OSTI]

    Miller, Jr., William H.

    1976-01-01

    A remotely operable sampler is provided for obtaining variable percentage samples of nuclear fuel particles and the like for analyses. The sampler has a rotating cup for a sample collection chamber designed so that the effective size of the sample inlet opening to the cup varies with rotational speed. Samples of a desired size are withdrawn from a flowing stream of particles without a deterrent to the flow of remaining particles.

  17. Variable depth core sampler

    DOE Patents [OSTI]

    Bourgeois, Peter M.; Reger, Robert J.

    1996-01-01

    A variable depth core sampler apparatus comprising a first circular hole saw member, having longitudinal sections that collapses to form a point and capture a sample, and a second circular hole saw member residing inside said first hole saw member to support the longitudinal sections of said first hole saw member and prevent them from collapsing to form a point. The second hole saw member may be raised and lowered inside said first hole saw member.

  18. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, R.E. Jr.; Johnson, S.A.

    1994-10-11

    An interface module for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams in the form of illumination bar to the lasing zone of a dye laser device, in particular to a dye laser amplifier. The preferred interface module includes an optical fiber array having a plurality of optical fibers arrayed in a co-planar fashion with their distal ends receiving coherent laser energy from an enhancing laser source, and their proximal ends delivered into a relay structure. The proximal ends of the optical fibers are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array delivered from the optical fiber array is acted upon by an optical element array to produce an illumination bar which has a cross section in the form of a elongated rectangle at the position of the lasing window. The illumination bar is selected to have substantially uniform intensity throughout. 5 figs.

  19. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, Jr., Ronald E.; Johnson, Steve A.

    1994-01-01

    An interface module (10) for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams (36) in the form of illumination bar (54) to the lasing zone (18) of a dye laser device, in particular to a dye laser amplifier (12). The preferred interface module (10) includes an optical fiber array (30) having a plurality of optical fibers (38) arrayed in a co-planar fashion with their distal ends (44) receiving coherent laser energy from an enhancing laser source (46), and their proximal ends (4) delivered into a relay structure (3). The proximal ends (42) of the optical fibers (38) are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array (36) delivered from the optical fiber array (30) is acted upon by an optical element array (34) to produce an illumination bar (54) which has a cross section in the form of a elongated rectangle at the position of the lasing window (18). The illumination bar (54) is selected to have substantially uniform intensity throughout.

  20. Geological input to reservoir simulation, Champion Field, offshore Brunei

    SciTech Connect (OSTI)

    Carter, R.; Salahudin, S.; Ho, T.C.

    1994-07-01

    Brunei Shell Petroleum's giant Champion field is in a mature stage of development with about 23 yr of production history to date. The field comprises a complex sequence of Miocene shallow marine and deltaic layered clastic reservoirs cut by numerous growth faults. This study was aimed at providing a quantified estimate of the effect of lateral and vertical discontinuities within the I and J reservoirs on the recovery for both depletion drive and in a waterflood, with a view to identifying the optimal method of completing the development of the oil reserves in this area. Geological input to the ECLIPSE simulator was aimed at quantifying two key parameters: (1) STOIIP connected to the well bore and (2) permeability contrast. Connected STOIIP is a function of the domain size of interconnected sand bodies, and this parameter was quantified by the use of detailed sedimentology resulting in sand-body facies maps for each reservoir sublayer. Permeability contrast was quantified by using a wireline-log based algorithm, calibrated against core data, which improved the existing accuracy of permeability estimates in this part of the field. Results of simulation runs illustrate the importance of quantifying geologic heterogeneity and provide valuable information for future field development planning.

  1. Neutron light output and detector efficiency (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Neutron light output and detector efficiency Citation Details In-Document Search Title: Neutron light output and detector efficiency Authors: Taddeucci, Terry N [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2012-03-07 OSTI Identifier: 1170660 Report Number(s): LA-UR-12-01236; LA-UR-12-1236

  2. Estimating Solar PV Output Using Modern Space/Time Geostatistics (Presentation)

    SciTech Connect (OSTI)

    Lee, S. J.; George, R.; Bush, B.

    2009-04-29

    This presentation describes a project that uses mapping techniques to predict solar output at subhourly resolution at any spatial point, develop a methodology that is applicable to natural resources in general, and demonstrate capability of geostatistical techniques to predict the output of a potential solar plant.

  3. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  4. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

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

    Karen Johnson; Michael Jensen

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  5. System for adjusting frequency of electrical output pulses derived from an oscillator

    DOE Patents [OSTI]

    Bartholomew, David B.

    2006-11-14

    A system for setting and adjusting a frequency of electrical output pulses derived from an oscillator in a network is disclosed. The system comprises an accumulator module configured to receive pulses from an oscillator and to output an accumulated value. An adjustor module is configured to store an adjustor value used to correct local oscillator drift. A digital adder adds values from the accumulator module to values stored in the adjustor module and outputs their sums to the accumulator module, where they are stored. The digital adder also outputs an electrical pulse to a logic module. The logic module is in electrical communication with the adjustor module and the network. The logic module may change the value stored in the adjustor module to compensate for local oscillator drift or change the frequency of output pulses. The logic module may also keep time and calculate drift.

  6. Method for leveling the power output of an electromechanical battery as a function of speed

    DOE Patents [OSTI]

    Post, R.F.

    1999-03-16

    The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range. 3 figs.

  7. Method for leveling the power output of an electromechanical battery as a function of speed

    DOE Patents [OSTI]

    Post, Richard F.

    1999-01-01

    The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range.

  8. Technique for enhancing the power output of an electrostatic generator employing parametric resonance

    DOE Patents [OSTI]

    Post, Richard F.

    2016-02-23

    A circuit-based technique enhances the power output of electrostatic generators employing an array of axially oriented rods or tubes or azimuthal corrugated metal surfaces for their electrodes. During generator operation, the peak voltage across the electrodes occurs at an azimuthal position that is intermediate between the position of minimum gap and maximum gap. If this position is also close to the azimuthal angle where the rate of change of capacity is a maximum, then the highest rf power output possible for a given maximum allowable voltage at the minimum gap can be attained. This rf power output is then coupled to the generator load through a coupling condenser that prevents suppression of the dc charging potential by conduction through the load. Optimized circuit values produce phase shifts in the rf output voltage that allow higher power output to occur at the same voltage limit at the minimum gap position.

  9. Variable leak gas source

    DOE Patents [OSTI]

    Henderson, Timothy M.; Wuttke, Gilbert H.

    1977-01-01

    A variable leak gas source and a method for obtaining the same which includes filling a quantity of hollow glass micro-spheres with a gas, storing said quantity in a confined chamber having a controllable outlet, heating said chamber above room temperature, and controlling the temperature of said chamber to control the quantity of gas passing out of said controllable outlet. Individual gas filled spheres may be utilized for calibration purposes by breaking a sphere having a known quantity of a known gas to calibrate a gas detection apparatus.

  10. Variability of Load and Net Load in Case of Large Scale Distributed Wind Power

    SciTech Connect (OSTI)

    Holttinen, H.; Kiviluoma, J.; Estanqueiro, A.; Gomez-Lazaro, E.; Rawn, B.; Dobschinski, J.; Meibom, P.; Lannoye, E.; Aigner, T.; Wan, Y. H.; Milligan, M.

    2011-01-01

    Large scale wind power production and its variability is one of the major inputs to wind integration studies. This paper analyses measured data from large scale wind power production. Comparisons of variability are made across several variables: time scale (10-60 minute ramp rates), number of wind farms, and simulated vs. modeled data. Ramp rates for Wind power production, Load (total system load) and Net load (load minus wind power production) demonstrate how wind power increases the net load variability. Wind power will also change the timing of daily ramps.

  11. Method and apparatus for calibrating a linear variable differential transformer

    DOE Patents [OSTI]

    Pokrywka, Robert J.

    2005-01-18

    A calibration apparatus for calibrating a linear variable differential transformer (LVDT) having an armature positioned in au LVDT armature orifice, and the armature able to move along an axis of movement. The calibration apparatus includes a heating mechanism with an internal chamber, a temperature measuring mechanism for measuring the temperature of the LVDT, a fixture mechanism with an internal chamber for at least partially accepting the LVDT and for securing the LVDT within the heating mechanism internal chamber, a moving mechanism for moving the armature, a position measurement mechanism for measuring the position of the armature, and an output voltage measurement mechanism. A method for calibrating an LVDT, including the steps of: powering the LVDT; heating the LVDT to a desired temperature; measuring the position of the armature with respect to the armature orifice; and measuring the output voltage of the LVDT.

  12. Variable Valve Actuation

    SciTech Connect (OSTI)

    Jeffrey Gutterman; A. J. Lasley

    2008-08-31

    Many approaches exist to enable advanced mode, low temperature combustion systems for diesel engines - such as premixed charge compression ignition (PCCI), Homogeneous Charge Compression Ignition (HCCI) or other HCCI-like combustion modes. The fuel properties and the quantity, distribution and temperature profile of air, fuel and residual fraction in the cylinder can have a marked effect on the heat release rate and combustion phasing. Figure 1 shows that a systems approach is required for HCCI-like combustion. While the exact requirements remain unclear (and will vary depending on fuel, engine size and application), some form of substantially variable valve actuation is a likely element in such a system. Variable valve actuation, for both intake and exhaust valve events, is a potent tool for controlling the parameters that are critical to HCCI-like combustion and expanding its operational range. Additionally, VVA can be used to optimize the combustion process as well as exhaust temperatures and impact the after treatment system requirements and its associated cost. Delphi Corporation has major manufacturing and product development and applied R&D expertise in the valve train area. Historical R&D experience includes the development of fully variable electro-hydraulic valve train on research engines as well as several generations of mechanical VVA for gasoline systems. This experience has enabled us to evaluate various implementations and determine the strengths and weaknesses of each. While a fully variable electro-hydraulic valve train system might be the 'ideal' solution technically for maximum flexibility in the timing and control of the valve events, its complexity, associated costs, and high power consumption make its implementation on low cost high volume applications unlikely. Conversely, a simple mechanical system might be a low cost solution but not deliver the flexibility required for HCCI operation. After modeling more than 200 variations of the mechanism it was determined that the single cam design did not have enough flexibility to satisfy three critical OEM requirements simultaneously, (maximum valve lift variation, intake valve opening timing and valve closing duration), and a new approach would be necessary. After numerous internal design reviews including several with the OEM a dual cam design was developed that had the flexibility to meet all motion requirements. The second cam added complexity to the mechanism however the cost was offset by the deletion of the electric motor required in the previous design. New patent applications including detailed drawings and potential valve motion profiles were generated and alternate two cam designs were proposed and evaluated for function, cost, reliability and durability. Hardware was designed and built and testing of sample hardware was successfully completed on an engine test stand. The mechanism developed during the course of this investigation can be applied by Original Equipment Manufacturers, (OEM), to their advanced diesel engines with the ultimate goal of reducing emissions and improving fuel economy. The objectives are: (1) Develop an optimal, cost effective, variable valve actuation (VVA) system for advanced low temperature diesel combustion processes. (2) Design and model alternative mechanical approaches and down-select for optimum design. (3) Build and demonstrate a mechanism capable of application on running engines.

  13. The SCALE Verified, Archived Library of Inputs and Data - VALID

    SciTech Connect (OSTI)

    Marshall, William BJ J; Rearden, Bradley T

    2013-01-01

    The Verified, Archived Library of Inputs and Data (VALID) at ORNL contains high quality, independently reviewed models and results that improve confidence in analysis. VALID is developed and maintained according to a procedure of the SCALE quality assurance (QA) plan. This paper reviews the origins of the procedure and its intended purpose, the philosophy of the procedure, some highlights of its implementation, and the future of the procedure and associated VALID library. The original focus of the procedure was the generation of high-quality models that could be archived at ORNL and applied to many studies. The review process associated with model generation minimized the chances of errors in these archived models. Subsequently, the scope of the library and procedure was expanded to provide high quality, reviewed sensitivity data files for deployment through the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). Sensitivity data files for approximately 400 such models are currently available. The VALID procedure and library continue fulfilling these multiple roles. The VALID procedure is based on the quality assurance principles of ISO 9001 and nuclear safety analysis. Some of these key concepts include: independent generation and review of information, generation and review by qualified individuals, use of appropriate references for design data and documentation, and retrievability of the models, results, and documentation associated with entries in the library. Some highlights of the detailed procedure are discussed to provide background on its implementation and to indicate limitations of data extracted from VALID for use by the broader community. Specifically, external users of data generated within VALID must take responsibility for ensuring that the files are used within the QA framework of their organization and that use is appropriate. The future plans for the VALID library include expansion to include additional experiments from the IHECSBE, to include experiments from areas beyond criticality safety, such as reactor physics and shielding, and to include application models. In the future, external SCALE users may also obtain qualification under the VALID procedure and be involved in expanding the library. The VALID library provides a pathway for the criticality safety community to leverage modeling and analysis expertise at ORNL.

  14. X-ray source assembly having enhanced output stability, and fluid stream analysis applications thereof

    DOE Patents [OSTI]

    Radley, Ian; Bievenue, Thomas J.; Burdett Jr., John H.; Gallagher, Brian W.; Shakshober, Stuart M.; Chen, Zewu; Moore, Michael D.

    2007-04-24

    An x-ray source assembly (2700) and method of operation are provided having enhanced output stability. The assembly includes an anode (2125) having a source spot upon which electrons (2120) impinge and a control system (2715/2720) for controlling position of the anode source spot relative to an output structure. The control system can maintain the anode source spot location relative to the output structure (2710) notwithstanding a change in one or more operating conditions of the x-ray source assembly. One aspect of the disclosed invention is most amenable to the analysis of sulfur in petroleum-based fuels.

  15. X-ray source assembly having enhanced output stability, and fluid stream analysis applications thereof

    DOE Patents [OSTI]

    Radley, Ian; Bievenue, Thomas J.; Burdett, John H.; Gallagher, Brian W.; Shakshober, Stuart M.; Chen, Zewu; Moore, Michael D.

    2008-06-08

    An x-ray source assembly and method of operation are provided having enhanced output stability. The assembly includes an anode having a source spot upon which electrons impinge and a control system for controlling position of the anode source spot relative to an output structure. The control system can maintain the anode source spot location relative to the output structure notwithstanding a change in one or more operating conditions of the x-ray source assembly. One aspect of the disclosed invention is most amenable to the analysis of sulfur in petroleum-based fuels.

  16. Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An...

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

    Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An Economic Impact Tool Developed for USDOE Presented at the Technology Transition Corporation and U.S. Department of ...

  17. EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    e Page Last Modified: May 2010 Table 4e. Gross Output1by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002...

  18. EIA Energy Efficiency-Table 3e. Gross Output by Selected Industries...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    e Page Last Modified: May 2010 Table 3e. Gross Output1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998...

  19. Enhancing the Output of LED Lighting | U.S. DOE Office of Science (SC)

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

    Enhancing the Output of LED Lighting Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: Email Us More Information » 04.01.12 Enhancing the Output of LED Lighting Adding

  20. New Research Center to Increase Safety and Power Output of U.S. Nuclear

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

    Reactors | Department of Energy Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors New Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors May 3, 2011 - 3:41pm Addthis Oak Ridge, Tenn. - Today the Department of Energy dedicated the Consortium for Advanced Simulation of Light Water Reactors (CASL), an advanced research facility that will accelerate the advancement of nuclear reactor technology. CASL researchers are using supercomputers to

  1. BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small

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

    Engines | Department of Energy Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines June 22, 2015 - 4:39pm Addthis The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy's Bioenergy Technologies Office has released a Request for Information (RFI) seeking stakeholder input on the following topics related to the use of advanced biofuel blends in small engines:

  2. DOE Seeking Input on Alternative Uses of Nickel Inventory | Department of

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

    Energy Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory March 9, 2007 - 10:28am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) is seeking input from industry representatives on the safe disposition of approximately 15,300 tons of nickel scrap recovered from uranium enrichment process equipment at the Department's Oak Ridge, TN, and Paducah, KY, facilities. The Expression of Interest (EOI), released today, will

  3. DOE Seeks Additional Input on Next Generation Nuclear Plant | Department of

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

    Energy Additional Input on Next Generation Nuclear Plant DOE Seeks Additional Input on Next Generation Nuclear Plant April 17, 2008 - 10:49am Addthis WASHINGTON, DC -The U.S. Department of Energy (DOE) today announced it is seeking public and industry input on how to best achieve the goals and meet the requirements for the Next Generation Nuclear Plant (NGNP) demonstration project work at DOE's Idaho National Laboratory. DOE today issued a Request for Information and Expressions of Interest

  4. A Requirement for Significant Reduction in the Maximum BTU Input Rate of

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

    Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers | Department of Energy A Requirement for Significant Reduction in the Maximum BTU Input Rate of Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers A Requirement for Significant Reduction in the Maximum BTU Input Rate of Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers Comment that a requirement to reduce the BTU input rate of existing decorative

  5. Rail-to-rail differential input amplification stage with main and surrogate differential pairs

    DOE Patents [OSTI]

    Britton, Jr., Charles Lanier; Smith, Stephen Fulton

    2007-03-06

    An operational amplifier input stage provides a symmetrical rail-to-rail input common-mode voltage without turning off either pair of complementary differential input transistors. Secondary, or surrogate, transistor pairs assume the function of the complementary differential transistors. The circuit also maintains essentially constant transconductance, constant slew rate, and constant signal-path supply current as it provides rail-to-rail operation.

  6. BETO Seeks Stakeholder Input on Achieving High Yields from Algal Feedstocks

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

    | Department of Energy Seeks Stakeholder Input on Achieving High Yields from Algal Feedstocks BETO Seeks Stakeholder Input on Achieving High Yields from Algal Feedstocks September 3, 2015 - 4:09pm Addthis The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy's Bioenergy Technologies Office (BETO) has released a Request for Information (RFI) titled "High Yields through Productivity and Integration Research." BETO is seeking input from industry, academia,

  7. SRTC input to DOE-HQ R and D database for FY99

    SciTech Connect (OSTI)

    Chandler, L.R. Jr.

    2000-01-05

    This is a database of the Savannah River Site input to the DOE Research and Development database. The report contains approximately 50 project abstracts.

  8. Summary of Input to DOE Request for Information DE-FOA-0000225

    Broader source: Energy.gov [DOE]

    Presentation on Sumary of Input to DOE Request for Information DE-FOA-0000225 - U.S. DOE Fuel Cells Technology Program

  9. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION...

    Office of Scientific and Technical Information (OSTI)

    are an important class of structural materials for fusion reactor internals developed ... among welding heat input, weld structure characterization and mechanical properties. ...

  10. [Composite analysis E-area vaults and saltstone disposal facilities]. PORFLOW and FACT input files

    SciTech Connect (OSTI)

    Cook, J.R.

    1997-09-01

    This diskette contains the PORFLOW and FACT input files described in Appendix B of the accompanying report `Composite Analysis E-Area Vaults and Saltstone Disposal Facilities`.

  11. Table A45. Total Inputs of Energy for Heat, Power, and Electricity...

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

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building ...

  12. Role of the nonperturbative input in QCD resummed Drell-Yan Q...

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Search Results Journal Article: Role of the nonperturbative input in QCD ... Sponsoring Org: (US) Country of Publication: United States Language: English Subject: 71 ...

  13. Table A55. Number of Establishments by Total Inputs of Energy...

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

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity ... Industry","Total(b)","Bed Boilers","Heat Recovery","Turbines","Heat Recovery","Processes",...

  14. SAS Output

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

    Form EIA-923, "Power Plant Operations Report" and predecessor form(s) including U.S. Energy Information Administration, Form EIA-906, "Power Plant Report;" and Form ...

  15. SAS Output

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

    ... Form EIA-861, "Annual Electric Power Industry Report.", Form EIA-861S, "Annual Electric Power Industry Report (Short Form)" and Form EIA-923, "Power Plant Operations Report

  16. SAS Output

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

    2008 55,731,229 23,614,158 1,288,152 584,001 57,019,381 24,198,159 2009 50,870,451 17,517,112 1,320,144 620,872 52,190,595 18,137,984 2010 43,763,091 18,481,678 1,320,095 ...

  17. SAS Output

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

    Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 10,682 451 2.08 49.32 2.48 23.5 3,066 527 6.19 35.96 0.20 26.9 2005 11,081 464 2.57 61.21 2.43 24.2 ...

  18. SAS Output

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

    22,604 17,521 4,110 272 702 2013 23,231 16,827 5,494 328 582 2014 31,531 19,652 10,689 451 739 Year 2012 January 1,933 1,495 317 28 93 February 1,544 1,245 218 18 64 March 1,629 ...

  19. SAS Output

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

    A. Net Generation by Energy Source: Industrial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From ...

  20. SAS Output

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

    1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2004 - 2014 Electric Power Sector Electric Utilities Independent Power Producers Period Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) End of Year Stocks 2004 106,669 46,750 937 84,917 29,144 627

  1. SAS Output

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

    2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by State, 2014 and 2013 Census Division and State Coal (Thousand Tons) Petroleum Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) December 2014 December 2013 Percentage Change December 2014 December 2013 Percentage Change December 2014 December 2013 Percentage Change New England 1,611 1,129 42.7% 4,989 3,613 38.1% 0 0 -- Connecticut W W W 1,498 1,141 31.3% 0 0 -- Maine 0 0 -- W W W 0 0 -- Massachusetts W 582

  2. SAS Output

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

    3 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by Census Divison, 2014 and 2013 Electric Power Sector Electric Utilities Independent Power Producers Census Division December 2014 December 2013 Percentage Change December 2014 December 2013 December 2014 December 2013 Coal (Thousand Tons) New England 1,611 1,129 42.7% W W W W Middle Atlantic 8,079 5,973 35.3% W 0 W 5,973 East North Central 33,839 28,279 19.7% 23,394 22,076 10,446 6,203 West North Central 20,648

  3. SAS Output

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

    4. Stocks of Coal by Coal Rank: Electric Power Sector, 2004 - 2014 Electric Power Sector Period Bituminous Coal Subbituminous Coal Lignite Coal Total End of Year Stocks 2004 49,022 53,618 4,029 106,669 2005 52,923 44,377 3,836 101,137 2006 67,760 68,408 4,797 140,964 2007 63,964 82,692 4,565 151,221 2008 65,818 91,214 4,556 161,589 2009 91,922 92,448 5,097 189,467 2010 81,108 86,915 6,894 174,917 2011 82,056 85,151 5,179 172,387 2012 86,437 93,833 4,846 185,116 2013 73,113 69,720 5,051 147,884

  4. SAS Output

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

    . Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2004 through 2014 Coal Petroleum Natural Gas All Fossil Fuels Average Cost Average Cost Average Cost Average Cost Period Receipts (Thousand Tons) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Ton) Receipts (Thousand Barrels) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Barrel) Receipts (Thousand Mcf) (Dollars per MMBtu) (Dollars per MMBtu) 2004 1,002,032 0.97 1.36 27.42

  5. SAS Output

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

    3. Average Quality of Fossil Fuel Receipts for the Electric Power Industry, 2004 through 2014 Coal Petroleum Natural Gas Period Average Btu per Pound Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Gallon Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Cubic Foot 2004 10,074 0.97 9.0 147,286 1.66 0.2 1,027 2005 10,107 0.98 9.0 146,481 1.61 0.2 1,028 2006 10,063 0.97 9.0 143,883 2.31 0.2 1,027 2007 10,028 0.96 8.8 144,546 2.10 0.1

  6. SAS Output

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

    4. Weighted Average Cost of Fossil Fuels for the Electric Power Industry, 2004 through 2014 Coal Petroleum Natural Gas Total Fossil Bituminous Subbituminous Lignite All Coal Ranks Period Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu)

  7. SAS Output

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

    5. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 15,440,681 758,557 1.34 27.30 0.91 98.2 592,478 93,034 4.80

  8. SAS Output

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

    6. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 107,985 3,817 0.89 25.15 5.10

  9. SAS Output

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

    7 Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 4,410,775 227,700 1.41 27.27 1.13 93.3 337,011

  10. SAS Output

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

    8. Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 73,745 2,609 0.72 20.30

  11. SAS Output

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

    0. Receipts, Average Cost, and Quality of Fossil Fuels: Commerical Sector, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 0 0 -- -- -- 0.0 16,176 15,804

  12. SAS Output

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

    1. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 326,495 15,324 1.63 34.79 1.43 57.6 25,491 4,107 4.98 30.93

  13. SAS Output

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

    2. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 14,876 540 0.98 27.01 5.59 40.4

  14. SAS Output

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

    3. Receipts of Coal Delivered for Electricity Generation by State, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 2,577 2,917 -12% 526 726 2,019 2,163 0 0 32 28 Connecticut 487 320 52% 0 0 487 320 0 0 0 0 Maine 85 66 30% 0 0 53 38 0 0 32 28

  15. SAS Output

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

    4. Receipts of Petroleum Liquids Delivered for Electricity Generation by State, 2014 and 2013 (Thousand Barrels) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 4,554 3,177 43% 755 421 3,748 2,730 0 0 50 25 Connecticut 1,092 594 84% 0 0 1,092 594 0 0 0 0 Maine 637 898 -29% 0

  16. SAS Output

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

    5. Receipts of Petroleum Coke Delivered for Electricity Generation by State, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0

  17. SAS Output

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

    6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2014 and 2013 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 329,008 364,201 -9.7% 1,968 1,600 321,630 348,352 0 0 5,409 14,249 Connecticut 96,817 104,666 -7.5% 0 0 96,817 104,666

  18. SAS Output

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

    7. Average Cost of Coal Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England W W W 4.27 4.21 W W Connecticut W W W -- -- W W Maine W W W -- -- W W Massachusetts W W W -- -- W W New Hampshire 4.27 4.21 1.4% 4.27 4.21 -- -- Rhode Island W -- W -- -- W -- Vermont -- -- -- -- -- -- --

  19. SAS Output

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

    8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England 17.53 W W 16.96 18.60 17.64 W Connecticut W W W -- -- W W Maine W W W -- -- W W Massachusetts 18.09 18.16 -0.4% 19.94 21.91 17.75 17.68 New Hampshire W W W 15.16 16.84 W W Rhode Island W W W -- --

  20. SAS Output

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

    9. Average Cost of Petroleum Coke Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England -- -- -- -- -- -- -- Connecticut -- -- -- -- -- -- -- Maine -- -- -- -- -- -- -- Massachusetts -- -- -- -- -- -- -- New Hampshire -- -- -- -- -- -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- --

  1. SAS Output

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

    0. Average Cost of Natural Gas Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England 6.49 5.89 10% 5.65 7.29 6.50 5.88 Connecticut 6.65 6.06 9.7% -- -- 6.65 6.06 Maine W W W -- -- W W Massachusetts 6.46 5.75 12% 5.54 6.84 6.47 5.74 New Hampshire W W W 6.05 8.85 W W Rhode Island W 5.67 W

  2. SAS Output

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

    1. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Total (All Sectors) by State, 2014 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 1,836 1.20 10.1 741 0.09 2.0 0 -- -- Connecticut 0

  3. SAS Output

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

    2. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Electric Utilties by State, 2014 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 526 2.29 7.8 0 -- -- 0 -- -- Connecticut 0 -- -- 0 --

  4. SAS Output

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

    3. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Independent Power Producers by State, 2014 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 1,278 0.72 11.1 741 0.09 2.0 0 -- --

  5. SAS Output

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

    4. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Commercial Sector by State, 2014 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 0 -- -- 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0

  6. SAS Output

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

    5. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Industrial Sector by State, 2014 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 32 0.94 8.4 0 -- -- 0 -- -- Connecticut 0 -- -- 0 --

  7. SAS Output

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

    8.1. Average Operating Heat Rate for Selected Energy Sources, 2004 through 2014 (Btu per Kilowatthour) Year Coal Petroleum Natural Gas Nuclear 2004 10331 10571 8647 10428 2005 10373 10631 8551 10436 2006 10351 10809 8471 10435 2007 10375 10794 8403 10489 2008 10378 11015 8305 10452 2009 10414 10923 8160 10459 2010 10415 10984 8185 10452 2011 10444 10829 8152 10464 2012 10498 10991 8039 10479 2013 10459 10713 7948 10449 2014 10428 10814 7907 10459 Coal includes anthracite, bituminous,

  8. SAS Output

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

    2. Average Tested Heat Rates by Prime Mover and Energy Source, 2007 - 2014 (Btu per Kilowatthour) Prime Mover Coal Petroluem Natural Gas Nuclear 2007 Steam Generator 10,158 10,398 10,440 10,489 Gas Turbine -- 13,217 11,632 -- Internal Combustion -- 10,447 10,175 -- Combined Cycle W 10,970 7,577 -- 2008 Steam Generator 10,138 10,356 10,377 10,452 Gas Turbine -- 13,311 11,576 -- Internal Combustion -- 10,427 9,975 -- Combined Cycle W 10,985 7,642 -- 2009 Steam Generator 10,150 10,349 10,427 10,459

  9. SAS Output

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

    3. Revenue and Expense Statistics for Major U.S. Investor-Owned Electric Utilities, 2004 through 2014 (Million Dollars) Description 2004 2005 2006 2007 2008 2009 Utility Operating Revenues 238,759 265,652 275,501 270,964 298,962 276,124 ......Electric Utility 213,012 234,909 246,736 240,864 266,124 249,303 ......Other Utility 25,747 30,743 28,765 30,100 32,838 26,822 Utility Operating Expenses 206,960 236,786 245,589 241,198 267,263 244,243 ......Electric Utility 183,121 207,830 218,445 213,076

  10. SAS Output

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

    4. Average Power Plant Operating Expenses for Major U.S. Investor-Owned Electric Utilities, 2004 through 2014 (Mills per Kilowatthour) Operation Maintenance Year Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale 2004 8.97 3.13 3.83 4.27 5.38 2.96 2.76 2.14 2005 8.26 3.21 3.95 3.69 5.27 2.98 2.73 1.89 2006 9.03 3.57 3.76 3.51 5.69 3.19 2.70 2.16 2007 9.54 3.63 5.44 3.26 5.79 3.37 3.87 2.42 2008 9.89 3.72 5.78 3.77 6.20

  11. SAS Output

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

    3. Quantity and Net Summer Capacity of Operable Cooling Systems, by Energy Source and Cooling System Type, 2004 - 2014 Once-Through Cooling Systems Recirculating Cooling Systems Cooling Ponds Dry Cooling Systems Hybrid Wet and Dry Cooling Systems Other Cooling System Types Energy Source Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer

  12. SAS Output

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

    4. Average Costs of Existing Flue Gas Desulfurization Units Operating in Electric Power Sector, 2004 - 2014 Year Average Operation and Maintenance Costs (Dollars per Megawatthour) Average Installed Capital Costs (Dollars per Kilowatt) 2004 1.25 43.25 2005 1.37 142.67 2006 -- 149.62 2007 1.26 240.68 2008 1.44 265.83 2009 1.44 357.46 2010 1.52 360.69 2011 1.79 410.62 2012 1.87 275.49 2013 1.74 235.42 2014 1.84 227.29 Notes: Average Installed Capital Costs reflect units which began operating in the

  13. SAS Output

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

    5. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants, by State, 2013 and 2014 (Thousand Metric Tons) Census Division and State Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 30,810 33,437 21 31 34 37 Connecticut 8,452 8,726 2 3 8 9 Maine 3,403 3,675 10 12 8 9 Massachusetts 12,917 14,735 6 11 13 14 New Hampshire 3,458 3,447 3 3 4 5 Rhode Island 2,566 2,838 0.09

  14. SAS Output

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

    . Demand-Side Management Program Annual Effects by Program Category, 2004 through 2012 (Table Discontinued) Energy Efficiency Load Management Total Year Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Potential Peak Load Reduction (MW) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) 2004 52,663 14,272 1,966 20,997 9,263 54,629 23,535 2005 59,000 15,394 930 21,259 10,341 59,930 25,735 2006 63,076 16,006 790

  15. SAS Output

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

    2. Demand-Side Management Program Annual Effects by Program Category, by Sector, 2004 through 2012 (Table Discontinued) Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2004 17,185 24,290 11,137 50 52,663 2005 18,894 28,073 11,986 47 59,000 2006 21,150 28,720 13,155 50 63,076 2007 22,772 30,359 14,038 108 67,278 2008 25,396 34,634 14,766 75 74,871 2009 27,395 34,831 14,610 76 76,912 2010 32,150 37,416 17,259 89 86,914 2011 46,790

  16. SAS Output

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

    3. Demand-Side Management Program Incremental Effects by Program Category, 2004 through 2012 (Table Discontinued) Energy Efficiency Load Management Total Year Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Potential Peak Load Reduction (MW) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) 2004 4,532 1,727 36 3,064 1,163 4,569 2,890 2005 5,879 1,705 137 2,223 1,162 6,016 2,867 2006 5,394 1,268 99 2,817 1,690

  17. SAS Output

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

    4. Demand-Side Management Program Incremental Effects by Program Category, by Sector, 2004 through 2012 (Table Discontinued) Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2004 1,827 1,812 894 -- 4,532 2005 2,249 2,559 1,071 -- 5,879 2006 2,127 2,281 986 -- 5,394 2007 3,659 2,830 1,178 13 7,680 2008 4,568 4,383 1,477 1 10,428 2009 5,030 4,959 2,918 1 12,907 2010 6,492 5,325 1,771 5 13,592 2011 9,989 8,166 3,261 6 21,421 2012 9,531

  18. SAS Output

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

    5. Demand-Side Management Program Direct and Indirect Costs, 2004 through 2012 (Thousand Dollars) (Table Discontinued) Year Energy Efficiency Load Management Direct Cost Indirect Cost Total Cost 2004 910,816 510,281 1,421,097 132,295 1,560,578 2005 1,180,576 622,287 1,802,863 127,925 1,939,115 2006 1,270,602 663,980 1,934,582 128,886 2,072,962 2007 1,677,969 700,362 2,378,331 160,326 2,604,711 2008 2,137,452 836,359 2,973,811 181,843 3,186,742 2009 2,221,480 944,261 3,165,741 394,193 3,607,076

  19. SAS Output

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

    6. Energy Efficiency Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Incremental Annual Savings - Energy Savings (MWh) 2013 11,031,419 10,478,997 3,141,213 29,894 24,681,523 2014 11,442,191 11,928,895 3,074,819 19,316 26,465,221 Incremental Annual Savings - Peak Demand Savings (MW) 2013 6,812 11,319 1,463 5 19,599 2014 3,031 2,920 564 2 6,517 Incremental Costs - Customer Incentive (thousand dollars) 2013 1,252,085 1,274,406 345,676 5 2,872,171

  20. SAS Output

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

    7. Energy Efficiency - Life Cycle Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Life Cycle Savings - Energy Savings (MWh) 2013 84,525,515 128,026,835 38,500,862 448,421 251,464,746 2014 100,729,499 149,493,353 39,631,016 287,925 290,141,793 Life Cycle Savings - Peak Demand Savings (MW) 2013 44,351 70,979 19,524 6 134,861 2014 17,911 46,600 12,248 2 76,760 Life Cycle Costs - Customer Incentive (thousand dollars) 2013 2,698,741 2,875,605 455,357

  1. SAS Output

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

    8. Demand Response - Yearly Energy and Demand Savings Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Number of Customers Enrolled 2013 8,419,233 611,826 155,893 398 9,187,350 2014 8,603,402 605,094 57,129 4 9,265,629 Energy Savings (MWh) 2013 799,743 486,348 115,895 1 1,401,987 2014 881,563 462,337 92,549 -- 1,436,449 Potential Peak Demand Savings (MW) 2013 7,003 5,124 14,800 168 27,095 2014 8,118 6,215 16,505 353 31,191 Actual Peak Demand

  2. SAS Output

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

    9. Demand Response - Program Costs Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Customer Incentives (thousand dollars) 2013 398,598 286,057 421,208 6,919 1,112,782 2014 345,894 345,435 514,751 11,716 1,217,796 All Other Costs (thousand dollars) 2013 338,353 95,748 50,982 50 485,133 2014 301,389 101,127 45,028 115 447,659

  3. SAS Output

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

    0. Advanced Metering Count by Technology Type, 2007 through 2014 Year Residential Commercial Industrial Transportation Total Automated Meter Reading (AMR) 2007 25,785,782 2,322,329 44,015 109 28,152,235 2008 36,425,943 3,529,985 77,122 13 40,033,063 2009 41,462,111 4,239,531 107,033 11 45,808,686 2010 43,913,225 4,611,877 159,315 626 48,685,043 2011 41,451,888 4,341,105 172,692 77 45,965,762 2012 43,455,437 4,691,018 185,862 125 48,330,822 2013 42,491,242 4,632,744 196,132 1,202 47,321,320 2014

  4. SAS Output

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

    1. Sulfur Dioxide Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Cyclone Firing Boiler Fluidized Bed Firing Boiler Stoker Boiler Tangential Firing Boiler All Other Boiler Types Combustion Turbine Internal Combustion Engine Distillate Fuel Oil* DFO Source: 2, Table 3.1-2a, 3.4-1 & 1.3-1 Lbs per MG

  5. SAS Output

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

    2. Nitrogen Oxides Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Tangential Boiler All Other Boiler Types Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Cyclone Firing Boiler Fluidized Bed Firing Boiler Stoker Boiler Dry-Bottom Boilers Wet-Bottom Boilers Dry-Bottom Boilers Wet-Bottom Boilers Combustion Turbine Internal Combustion Engine

  6. SAS Output

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

    3. Carbon Dioxide Uncontrolled Emission Factors Fuel EIA Fuel Code Factor (Kilograms of CO2 Per Million Btu)*** Notes Bituminous Coal BIT 93.3 Distillate Fuel Oil DFO 73.16 Geothermal GEO 7.71 Jet Fuel JF 70.9 Kerosene KER 72.3 Lignite Coal LIG 97.7 Municipal Solid Waste MSW 41.69 Natural Gas NG 53.07 Petroleum Coke PC 102.1 Propane Gas PG 63.07 Residual Fuel Oil RFO 78.79 Coal-Derived Synthesis Gas SGC 53.07 Assumed to have emissions similar to Natural Gas Synthesis Gas from Petroleum Coke SGP

  7. SAS Output

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

    4. Nitrogen Oxides Control Technology Emissions Reduction Factors Reduction Factor Nitrogen Oxides Control Technology EIA Code Coal Residual Fuel Oil and Distallate Fuel Oil Natural Gas Wood Other Solids Other Liquids Other Gases Other Fuels Burner Out of Service BO 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Low Excess Air LA 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Biased Firing (Alternative Burners) BF 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Overfire Air OV 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25

  8. SAS Output

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

    5. Unit of Measure Equivalents Unit Equivalent Kilowatt (kW) 1,000 (One Thousand) Watts Megawatt (MW) 1,000,000 (One Million) Watts Gigawatt (GW) 1,000,000,000 (One Billion) Watts Terawatt (TW) 1,000,000,000,000 (One Trillion) Watts Gigawatt 1,000,000 (One Million) Kilowatts Thousand Gigawatts 1,000,000,000 (One Billion) Kilowatts Kilowatthours (kWh) 1,000 (One Thousand) Watthours Megawatthours (MWh) 1,000,000 (One Million) Watthours Gigawatthours (GWh) 1,000,000,000 (One Billion) Watthours

  9. SAS Output

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

    mile. Some structures were designed and then built to carry future transmission circuits in order to handle expected growth in new capability requirements. Lines are taken...

  10. SAS Output

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

    Underground Coal Production by State and Mining Method, 2014" "(thousand short tons)" "Coal-Producing State and Region1","Continuous2","Conventional and","Longwall4","Total" ...

  11. SAS Output

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

    Coal Production and Number of Mines by State and Coal Rank, 2014" "(thousand short tons)" ,"Bituminous",,"Subbituminous",,"Lignite",,"Anthracite",,"Total" "Coal-Producing","Number ...

  12. SAS Output

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

    2. Underground Coal Mining Productivity by State and Mining Method, 2014" "(short tons produced per employee hour)" "Coal-Producing State, Region1 and Mine Type","Continuous2","Con...

  13. SAS Output

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

    3. Average Sales Price of U.S. Coal by State and Disposition, 2014" "(dollars per short ton)" "Coal-Producing State","Open Market1","Captive2","Total3" "Alabama",84.48,"-",87.17 ...

  14. SAS Output

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

    3. Coal Mining Productivity by State, Mine Type, and Mine Production Range, 2014" "(short tons produced per employee hour)" ,"Mine Production Range (thousand short tons)" ...

  15. SAS Output

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

    Coal Disposition by State, 2014" "(thousand short tons)" "Coal-Producing State","Open Market Sales1","Captive Sales Transactions2","Exports3","Total" "Alabama",5310,"-",12049,173...

  16. SAS Output

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

    Coal Production and Number of Mines by State and Mine Type, 2014 and 2013" "(thousand short tons)" ,2014,,2013,,"Percent Change" "Coal-Producing","Number of Mines","Production","Nu...

  17. SAS Output

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

    Average Number of Employees by State and Mine Type, 2014 and 2013" ,2014,,,2013,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total",...

  18. SAS Output

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

    Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve Base by Mining Method, 2014" "(million short tons)" ,"Underground - Minable ...

  19. SAS Output

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

    Average Number of Employees at Underground and Surface Mines by State and Union Status, 2014" ,"Union",,"Nonunion" "Coal-Producing State","Underground","Surface","Underground","Sur...

  20. SAS Output

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

    4. Coal Mining Productivity by State, Mine Type, and Union Status, 2014" "(short tons produced per employee hour)" ,"Union",,"Nonunion" "Coal-Producing State and ...

  1. SAS Output

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

    1. Average Sales Price of Coal by State and Coal Rank, 2014" "(dollars per short ton)" "Coal-Producing State","Bituminous","Subbituminous","Lignite","Anthracite","Total" ...

  2. SAS Output

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

    9. Average Sales Price of Coal by State and Underground Mining Method, 2014" "(dollars per short ton)" "Coal-Producing State","Continuous1","Conventional and","Longwall3","Total" ...

  3. SAS Output

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

    Coal Productivity by State and Mine Type, 2014 and 2013" ,"Number of Mining Operations2",,,"Number of Employees3",,,"Average Production per Employee Hour" ,,,..."(short tons)4" ...

  4. SAS Output

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

    Number of Employees at Underground and Surface Mines by State and Mine Production Range, 2014" ,"Mine Production Range (thousand short tons)" "Coal-Producing State, Region1","Above ...

  5. SAS Output

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

    8. Average Sales Price of Coal by State and Mine Type, 2014 and 2013" "(dollars per short ton)" ,2014,,,2013,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Un...

  6. SAS Output

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

    2. Average Sales Price of Coal by Mine Production Range and Mine Type, 2014" "(dollars per short ton)" "Mine Production Range (thousand short tons)","Underground","Surface","Total" ...

  7. SAS Output

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

    Reliability web page: http:www.eia.govcneafelectricitypageeia411eia411.html Projected data are updated annually. Net Energy for Load represents net Balancing...

  8. SAS Output

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

    Rosebud","-",12756,12756,250,186,276 "1787 Roland","-",12094,12094,464,384,495 "1701 Smith","-",12069,12069,912,912,912 "0280 Blue Creek",11738,190,11928,50,12,52 "1570 ...

  9. SAS Output

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

    " Franklin",1,9098,"-","-",1,9098 " Gallatin","-","-",1,1919,1,1919 " Hamilton",1,1737,"-","-",1,1737 " Jackson","-","-",1,15,1,15 " Macoupin",1,1634,"-","-",1,1634 ...

  10. SAS Output

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

    "Illinois",22,55842,47.11 " Franklin",1,"w","w" " Gallatin",1,"w","w" " Hamilton",1,"w","w" " Jackson",1,"w","w" " Macoupin",1,"w","w" " Montgomery",1,"w","w" " ...

  11. SAS Output

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

    289 12,454.6 5,169.1 1970-1974 338 17,648.0 6,483.6 1975-1979 93 10,147.5 2,252.6 1980-1984 48 1,019.5 216.3 1985-1989 90 2,781.9 391.0 1990-1994 219 12,124.9 1,584.9 1995-1999 ...

  12. SAS Output

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

    Totals 2004 8.95 8.17 5.25 7.18 7.61 2005 9.45 8.67 5.73 8.57 8.14 2006 10.40 9.46 6.16 ... 6.89 10.55 10.07 2014 12.52 10.74 7.10 10.45 10.44 Year 2012 January 11.41 9.84 6.44 ...

  13. SAS Output

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

    Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 351,871 80,824 16,659 654,242 126,157 667,341 45,456 1,942,550 ...

  14. SAS Output

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

    2004 8.95 8.17 5.25 7.18 7.61 2005 9.45 8.67 5.73 8.57 8.14 2006 10.40 9.46 6.16 ... 6.89 10.55 10.07 2014 12.52 10.74 7.10 10.45 10.44 Full-Service Providers 2004 8.91 8.02 ...

  15. SAS Output

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

    ...,22454,3861,82165,21532,281.6 " Honolulu, HI",179816,180315,179281,716657,725127,-1.2 " Los Angeles, CA",61,"-",2622,221,9435,-97.7 " San Francisco, CA","-","-","-",131,109,20.2 " ...

  16. SAS Output

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

    D. Landfill Gas: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power ...

  17. SAS Output

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

    D. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent ...

  18. SAS Output

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

    D. Coal: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power ...

  19. SAS Output

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

    D. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent ...

  20. SAS Output

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

    D. Natural Gas: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power ...

  1. SAS Output

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

    6. Net Generation by Energy Source: Residential Sector, 2014 ... Distributed Generation Period Estimated Distributed Solar ... WWithheld to avoid disclosure of individual company data. ...

  2. SAS Output

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

    Generation Estimated Total Solar Generation Annual Totals 2004 0 0 0 ... WWithheld to avoid disclosure of individual company data. Sources: U.S. Energy Information ...

  3. SAS Output

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

    1,118 4,978 5,113 0 0 All Energy Sources Utility Scale ... 0 0 Estimated Distributed Solar Photovoltaic Distributed ... W Withheld to avoid disclosure of individual company data. ...

  4. SAS Output

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

    ... Plants Report; and Federal Energy Regulatory Commission, FERC ... generation and distributed solar photovoltaic capacity are based on data from Form EIA-826, Form EIA-861 ...

  5. SAS Output

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

    A. Net Generation by Energy Source: Total (All Sectors), ... Hydroelectric Conventional Solar Renewable Sources Excluding ... Notes: Beginning with 2001 data, non-biogenic municipal ...

  6. SAS Output

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

    3.A. Net Generation by Energy Source: Independent Power ... Hydroelectric Conventional Solar Renewable Sources Excluding ... Notes: Beginning with 2001 data, non-biogenic municipal ...

  7. SAS Output

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

    A. Net Generation by Energy Source: Commercial Sector, 2004 ... Hydroelectric Conventional Solar Renewable Sources Excluding ... Notes: Beginning with 2001 data, non-biogenic municipal ...

  8. SAS Output

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

    A. Net Generation by Energy Source: Electric Utilities, 2004 ... Hydroelectric Conventional Solar Renewable Sources Excluding ... Notes: Beginning with 2001 data, non-biogenic municipal ...

  9. SAS Output

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

    10,364.7 2 3.1 96 10,361.6 Solar Thermal and Photovoltaic ... -- -- -- -- -- -- Other Energy Sources 9 109.6 2 1.0 7 ... Notes: These data reflect plans as of December 31, 2014 Coal ...

  10. SAS Output

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

    ... See Glossary for definitions. Values are final. See Technical Notes for a discussion of the sample design for the Form EIA-923 and predecessor forms. Totals may not equal sum of ...

  11. SAS Output

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

    changes in the sample design of Form EIA-923 and the imputation process. - See the EIA-923 section of the Technical Notes for a discussion of the sample design for the Form EIA-923 ...

  12. SAS Output

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

    Inc","AL, CA, CO, FL, GA, KY, OH, TN, TX" "Dakota Gasification Company","ND" "Eastman Chemical Company","TN" "Georgia-Pacific Consumer Products LP","AL, GA, OK, VA, WI" "Holcim ...

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. U.S. Transmission Circuit Outages by Type and NERC region, 2013 Outage Type FRCC MRO NPCC RFC SERC SPP TRE WECC Contiguous U.S. Circuit Outage Counts Automatic Outages...

  14. SAS Output

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

    Major U.S. Coal Producers, 2014" "Rank","Controlling Company Name","Production (thousand short tons)","Percent of Total Production" 1,"Peabody Energy Corp",189531,19 2,"Arch Coal Inc",135801,13.6 3,"Cloud Peak Energy",85794,8.6 4,"Alpha Natural Resources",80153,8 5,"Murray Energy Corp",62815,6.3 6,"Alliance Resource Partners LP",40964,4.1 7,"Westmoreland Coal Company",35580,3.6

  15. SAS Output

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

    Capacity Utilization of Coal Mines by State, 2014 and 2013" "(percent)" ,2014,,,2013 "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",89.95,68.96,83.98,89.38,66.73,81.78 "Alaska","-",50.06,50.06,"-",54.39,54.39 "Arizona","-",94.71,94.71,"-",89.44,89.44

  16. SAS Output

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

    Productive Capacity and Capacity Utilization of Underground Coal Mines by State and Mining Method, 2014" "(thousand short tons)" ,"Continuous1",,"Conventional and Other2",,"Longwall3",,"Total" "Coal-Producing","Productive","Capacity","Productive","Capacity","Productive","Capacity","Productive","Capacity"

  17. SAS Output

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

    Recoverable Coal Reserves and Average Recovery Percentage at Producing Mines by State, 2014 and 2013" "(million short tons)" ,2014,,2013 "Coal-Producing","Recoverable Coal","Average Recovery","Recoverable Coal","Average Recovery","Percent Change" "State","Reserves","Percentage","Reserves","Percentage","Recoverable Coal" ,,,,,"Reserves"

  18. SAS Output

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

    6. U.S. Coal Consumption by End Use Sector, Census Division, and State, 2014 and 2013" "(thousand short tons)" ,2014,,,,2013,,,,"Total" "Census Division","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial",2014,2013,"Percent" "and

  19. SAS Output

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

    7. Year-End Coal Stocks by Sector, Census Division, and State, 2014 and 2013" "(thousand short tons)" ,2014,,,,,2013,,,,,"Total" "Census Division","Electric","Other","Coke","Commercial","Producer","Electric","Other","Coke","Commercial","Producer",2014,2013,"Percent" "and

  20. SAS Output

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

    4. Average Price of Coal Delivered to End Use Sector by Census Division and State, 2014 and 2013" "(dollars per short ton)" ,2014,,,,2013,,,,"Annual Percent Change" "Census Division","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial" "and

  1. SAS Output

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

    . Coal Production by State, Mine Type, and Union Status, 2014" "(thousand short tons)" ,"Union",,"Nonunion",,"Total" "Coal-Producing","Underground","Surface","Underground","Surface","Underground","Surface" "State and Region1" "Alabama",12081,327,435,3486,12516,3813 "Alaska","-",1502,"-","-","-",1502

  2. SAS Output

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

    Major U.S. Coal Mines, 2014" "Rank","Mine Name / Operating Company","Mine Type","State","Production (short tons)" 1,"North Antelope Rochelle Mine / Peabody Powder River Mining LLC","Surface","Wyoming",117965515 2,"Black Thunder / Thunder Basin Coal Company LLC","Surface","Wyoming",101016860 3,"Cordero Mine / Cordero Mining

  3. SAS Output

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

    2. Summary Statistics for the United States, 2004 - 2014 (From Table 2.1.) Number of Ultimate Customers Year Residential Commercial Industrial Transportation Other Total 2004 118,763,768 16,606,783 747,600 1,025 N/A 136,119,176 2005 120,760,839 16,871,940 733,862 518 N/A 138,367,159 2006 122,471,071 17,172,499 759,604 791 N/A 140,403,965 2007 123,949,916 17,377,219 793,767 750 N/A 142,121,652 2008 125,037,837 17,582,382 774,808 726 N/A 143,395,753 2009 125,208,829 17,562,235 757,537 704 N/A

  4. SAS Output

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

    . Number of Ultimate Customers Served by Sector, by Provider, 2004 through 2014 Year Residential Commercial Industrial Transportation Total Total Electric Industry 2004 118,763,768 16,606,783 747,600 1,025 136,119,176 2005 120,760,839 16,871,940 733,862 518 138,367,159 2006 122,471,071 17,172,499 759,604 791 140,403,965 2007 123,949,916 17,377,219 793,767 750 142,121,652 2008 125,037,837 17,582,382 774,808 726 143,395,753 2009 125,208,829 17,562,235 757,537 704 143,529,305 2010 125,717,935

  5. SAS Output

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

    3. Revenue from Sales of Electricity to Ultimate Customers by Sector, by Provider, 2004 through 2014 (Million Dollars) Year Residential Commercial Industrial Transportation Total Total Electric Industry 2004 115,577 100,546 53,477 519 270,119 2005 128,393 110,522 58,445 643 298,003 2006 140,582 122,914 62,308 702 326,506 2007 148,295 128,903 65,712 792 343,703 2008 155,496 137,036 70,231 820 363,583 2009 157,044 132,747 62,670 828 353,289 2010 166,778 135,554 65,772 814 368,918 2011 166,714

  6. SAS Output

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

    5. Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2004 - December 2014 (Thousand Megawatthours) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2004 1,291,982 1,230,425 1,017,850 7,224 3,547,479 2005 1,359,227 1,275,079 1,019,156 7,506 3,660,969 2006 1,351,520 1,299,744 1,011,298 7,358 3,669,919 2007 1,392,241 1,336,315 1,027,832 8,173 3,764,561 2008 1,380,662 1,336,133 1,009,516 7,653 3,733,965 2009 1,364,758 1,306,853 917,416 7,768

  7. SAS Output

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

    6. Revenue from Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2004 - December 2014 (Million Dollars) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2004 115,577 100,546 53,477 519 270,119 2005 128,393 110,522 58,445 643 298,003 2006 140,582 122,914 62,308 702 326,506 2007 148,295 128,903 65,712 792 343,703 2008 155,496 137,036 70,231 820 363,583 2009 157,044 132,747 62,670 828 353,289 2010 166,778 135,554 65,772 814 368,918 2011 166,714

  8. SAS Output

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

    8. Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2014 and 2013 (Thousand Megawatthours) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 47,212 48,369 53,107 44,938 19,107 27,472 557 577 119,983 121,357 Connecticut 12,778 13,135 12,894 13,009 3,515 3,490 169 190 29,354 29,825 Maine 4,661 4,662 3,985 4,016 3,357 3,177 0 0

  9. SAS Output

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

    9. Revenue from Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2014 and 2013 (Million Dollars) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 8,414 7,846 7,806 6,277 2,263 3,365 58 70 18,541 17,558 Connecticut 2,523 2,306 2,005 1,904 454 440 22 20 5,004 4,669 Maine 712 669 506 471 300 265 0 0 1,518 1,406 Massachusetts

  10. SAS Output

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

    0. Average Price of Electricity to Ultimate Customers by End-Use Sector, by State, 2014 and 2013 (Cents per Kilowatthour) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 17.82 16.22 14.70 13.97 11.84 12.25 10.38 12.15 15.45 14.47 Connecticut 19.75 17.55 15.55 14.63 12.92 12.61 13.08 10.31 17.05 15.66 Maine 15.27 14.35 12.70 11.74 8.95 8.34 -- --

  11. SAS Output

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

    1. Electric Power Industry - Electricity Purchases, 2004 through 2014 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total 2005 2,760,043 3,250,298 12,201 69,744 6,092,285 2006 2,605,315 2,793,288 26,628 77,353 5,502,584 2007 2,504,002 2,805,833 24,942 76,646 5,411,422 2008 2,483,927 3,024,730 25,431 78,693 5,612,781 2009 2,364,648 2,564,407 27,922 71,669 5,028,647 2010 2,353,086 3,319,211 23,976 73,861 5,770,134

  12. SAS Output

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

    2. Electric Power Industry - Electricity Sales for Resale, 2004 through 2014 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total 2004 1,923,440 3,756,175 1,053,364 25,996 6,758,975 2005 1,925,710 2,867,048 1,252,796 26,105 6,071,659 2006 1,698,389 2,446,104 1,321,342 27,638 5,493,473 2007 1,603,179 2,476,740 1,368,310 31,165 5,479,394 2008 1,576,976 2,718,661 1,355,017 30,079 5,680,733 2009 1,495,636 2,240,399

  13. SAS Output

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

    4. Green Pricing Customers by End Use Sector, 2005 through 2012 (Table Discontinued) Year Residential Commercial Industrial Transportation Total 2005 871,774 70,303 695 -- 942,772 2006 606,919 35,414 522 1 642,856 2007 773,391 61,608 553 99 835,651 2008 918,284 63,521 987 203 982,995 2009 1,058,185 64,139 1,454 -- 1,123,778 2010 1,137,047 78,128 1,407 -- 1,216,582 2011 1,187,867 89,677 1,440 -- 1,278,984 2012 2,162,230 102,223 1,509 -- 2,265,963 2012 was the last year this data was collected. In

  14. SAS Output

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

    B. Net Generation from Renewable Sources: Total (All Sectors), 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  15. SAS Output

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

    B. Net Generation from Renewable Sources: Industrial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  16. SAS Output

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

    7. Utility Scale Facility Net Generation by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014 Year 2013

  17. SAS Output

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

    8. Utility Scale Facility Net Generation from Coal by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014

  18. SAS Output

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

    9. Utility Scale Facility Net Generation from Petroleum Liquids by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  19. SAS Output

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

    0. Utility Scale Facility Net Generation from Petroleum Coke by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  20. SAS Output

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

    1. Utility Scale Facility Net Generation from Natural Gas by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  1. SAS Output

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

    2. Utility Scale Facility Net Generation from Other Gases by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  2. SAS Output

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

    3. Utility Scale Facility Net Generation from Nuclear Energy by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  3. SAS Output

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

    4. Utility Scale Facility Net Generation from Hydroelectric (Conventional) Power by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013

  4. SAS Output

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

    5. Utility Scale Facility Net Generation from Renewable Sources Excluding Hydroelectric by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year

  5. SAS Output

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

    6. Utility Scale Facility Net Generation from Hydroelectric (Pumped Storage) Power by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013

  6. SAS Output

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

    7. Utility Scale Facility Net Generation from Other Energy Sources by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage

  7. SAS Output

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

    8. Utility Scale Facility Net Generation from Wind by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014

  8. SAS Output

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

    9. Utility Scale Facility Net Generation from Biomass by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014

  9. SAS Output

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

    0. Utility Scale Facility Net Generation from Geothermal by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  10. SAS Output

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

    1. Utility Scale Facility Net Generation from Solar Photovoltaic by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  11. SAS Output

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

    2. Utility Scale Facility Net Generation from Solar Thermal by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  12. SAS Output

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

    B. Existing Net Summer Capacity of Other Renewable Sources by Producer Type, 2004 through 2014 (Megawatts) Year Wind Solar Thermal and Photovoltaic Wood and Wood-Derived Fuels Geothermal Other Biomass Total (Other Renewable Sources) Total (All Sectors) 2004 6,456.0 398.0 6,182.0 2,152.0 3,529.0 18,717.0 2005 8,706.0 411.0 6,193.0 2,285.0 3,609.0 21,205.0 2006 11,329.0 411.0 6,372.0 2,274.0 3,727.0 24,113.0 2007 16,515.0 502.0 6,704.0 2,214.0 4,134.0 30,069.0 2008 24,651.0 536.0 6,864.0 2,229.0

  13. SAS Output

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

    3. Existing Capacity by Energy Source, 2014 (Megawatts) Energy Source Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Coal 1,145 325,831.5 299,094.2 300,699.8 Petroleum 3,573 46,897.8 41,135.4 44,739.7 Natural Gas 5,727 495,120.2 432,150.3 464,784.7 Other Gases 93 2,227.6 1,914.3 1,889.9 Nuclear 99 103,860.4 98,569.3 100,610.3 Hydroelectric Conventional 4,029 78,792.9 79,677.3 79,090.6 Wind 1,032 65,300.1 64,231.5 64,325.1 Solar Thermal and Photovoltaic

  14. SAS Output

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

    4. Existing Capacity by Producer Type, 2014 (Megawatts) Producer Type Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Electric Power Sector Electric Utilities 9,510 675,675.4 616,631.5 637,857.0 Independent Power Producers, Non-Combined Heat and Power Plants 6,975 423,782.6 387,561.6 401,581.5 Independent Power Producers, Combined Heat and Power Plants 559 37,890.2 33,362.6 35,972.8 Total 17,044 1,137,348.2 1,037,555.7 1,075,411.3 Commercial and

  15. SAS Output

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

    6. Capacity Additions, Retirements and Changes by Energy Source, 2014 (Count, Megawatts) Generator Additions Generator Retirements Energy Source Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Coal 1 106.2 52.0 52.0 53 5,083.4 4,489.7 4,552.3 Petroleum 28 62.2 62.0 62.0 55 1,261.0 1,018.6 1,120.0 Natural Gas 92 9,275.2 8,300.8 8,849.5 87 4,184.5 3,834.4 3,918.8

  16. SAS Output

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

    7.A. Net Summer Capacity of Utility Scale Units by Technology and by State, 2014 and 2013 (Megawatts) Census Division and State Renewable Sources Fossil Fuels Hydroelectric Pumped Storage Other Energy Storage Nuclear All Other Sources All Sources Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 4,577.6 4,403.4 22,853.0 23,564.2 1,775.4 1,753.4 3.0 3.0 4,046.3 4,645.4 52.9 52.9 33,308.2 34,422.3

  17. SAS Output

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

    B. Net Summer Capacity Using Primarily Renewable Energy Sources and by State, 2014 and 2013 (Megawatts) Summer Capacity at Utility Scale Facilities Distributed Capacity Summer Capacity From Utility Scale Facilities and Distributed Capacity Census Division and State Wind Solar Photovoltaic Solar Thermal Conventional Hydroelectric Biomass Sources Geothermal Total Renewable Sources Estimated Distributed Solar Photovoltaic Capacity Estimated Total Solar Photovoltaic Capacity Estimated Total Solar

  18. SAS Output

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

    7.C. Net Summer Capacity of Utility Scale Units Using Primarily Fossil Fuels and by State, 2014 and 2013 (Megawatts) Census Division and State Natural Gas Fired Combined Cycle Natural Gas Fired Combustion Turbine Other Natural Gas Coal Petroleum Coke Petroleum Liquids Other Gases Total Fossil Fuels Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 11,742.0 11,720.9 1,110.1

  19. SAS Output

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

    A. Capacity Factors for Utility Scale Generators Primarily Using Fossil Fuels, January 2013-December 2014 Coal Natural Gas Petroleum Period Natural Gas Fired Combined Cycle Natural Gas Fired Combustion Turbine Steam Turbine Internal Combustion Engine Steam Turbine Petroleum Liquids Fired Combustion Turbine Internal Combustion Engine Annual Factors 2013 59.7% 48.2% 4.9% 10.6% 6.1% 12.1% 0.8% 2.2% 2014 61.0% 48.3% 5.2% 10.4% 8.5% 12.5% 1.1% 1.4% Year 2013 January 61.2% 46.3% 3.6% 7.3% 4.6% 10.0%

  20. SAS Output

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

    B. Capacity Factors for Utility Scale Generators Not Primarily Using Fossil Fuels, January 2013-December 2014 Period Nuclear Conventional Hydropower Wind Solar Photovoltaic Solar Thermal Landfill Gas and Muncipal Solid Waste Other Biomass Including Wood Geothermal Annual Factors 2013 89.9% 38.9% 32.4% NA NA 68.9% 56.7% 73.6% 2014 91.7% 37.3% 34.0% 25.9% 19.8% 68.9% 58.9% 74.0% Year 2013 January 93.9% 42.3% 33.5% NA NA 66.0% 56.5% 76.9% February 90.3% 38.3% 35.4% NA NA 65.2% 56.0% 76.1% March

  1. SAS Output

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

    9. Total Capacity of Distributed and Dispersed Generators by Technology Type, 2005 through 2014 Capacity (MW) Year Internal Combustion Combustion Turbine Steam Turbine Hydro Wind Photovoltaic Storage Other Wind and Other Total Number of Generators Distributed Generators 2005 4,025.0 1,917.0 1,830.0 999.0 -- -- -- -- 995.0 9,766.0 17,371 2006 3,646.0 1,298.0 2,582.0 806.0 -- -- -- -- 1,081.0 9,411.0 5,044 2007 4,624.0 1,990.0 3,596.0 1,051.0 -- -- -- -- 1,441.0 12,702.0 7,103 2008 5,112.0 1,949.0

  2. SAS Output

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

    0. Net Metering Customers and Capacity by Technology Type, by End Use Sector, 2004 through 2014 Capacity (MW) Customers Year Residential Commercial Industrial Transportation Total Residential Commercial Industrial Transportation Total Historical Data 2004 N/A N/A N/A N/A N/A 14,114 1,494 215 3 15,826 2005 N/A N/A N/A N/A N/A 19,244 1,565 337 -- 21,146 2006 N/A N/A N/A N/A N/A 30,689 2,553 376 -- 33,618 2007 N/A N/A N/A N/A N/A 44,450 3,513 391 -- 48,354 2008 N/A N/A N/A N/A N/A 64,400 5,305 304

  3. SAS Output

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

    1. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Producer Type, 2014 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Natural Gas as the Primary Fuel Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Petroleum Liquids Fuel Switchable Net

  4. SAS Output

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

    2. Fuel-Switching Capacity of Operable Generators Reporting Petroleum Liquids as the Primary Fuel, by Producer Type, 2014 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Petroleum Liquids as the Primary Fuel Net Summer Capacity of Petroleum Liquids-Fired Generators Reporting the Ability to Switch to Natural Gas Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Natural Gas Electric

  5. SAS Output

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

    3. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Type of Prime Mover, 2014 (Megawatts, Percent) Prime Mover Type Number of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Net Summer Capacity Reported to Have No Factors that Limit the Ability to Switch to Petroleum Liquids Steam Generator 178

  6. SAS Output

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

    A. Coal: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,020,523 772,224 240,235 377 7,687 2005 1,041,448 761,349 272,218 377 7,504 2006 1,030,556 753,390 269,412 347 7,408 2007 1,046,795 764,765 276,581 361 5,089 2008 1,042,335 760,326 276,565 369 5,075 2009 934,683 695,615 234,077 317 4,674 2010 979,684 721,431

  7. SAS Output

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

    A. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 7,677 4,150 2,985 1 541 2005 8,330 4,130 3,746 1 452 2006 7,363 3,619 3,286 1 456 2007 6,036 2,808 2,715 2 512 2008 5,417 2,296 2,704 1 416 2009 4,821 2,761 1,724 1 335 2010 4,994 3,325 1,354 2 313 2011 5,012 3,449 1,277 1 286 2012 3,675 2,105 756 1

  8. SAS Output

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

    A. Natural Gas: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 5,674,580 1,809,443 3,265,896 32,839 566,401 2005 6,036,370 2,134,859 3,349,921 33,785 517,805 2006 6,461,615 2,478,396 3,412,826 34,623 535,770 2007 7,089,342 2,736,418 3,765,194 34,087 553,643 2008 6,895,843 2,730,134 3,612,197 33,403 520,109 2009

  9. SAS Output

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

    D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 344,134 19,973 130,248 168 193,745 2005 355,250 27,373 138,407 207 189,263 2006 350,074 27,455 135,546 269 186,803 2007 353,025 31,568 132,953 284 188,220 2008 338,786 29,150 130,122 287 179,227 2009 320,444 29,565 130,894 274 159,712 2010

  10. SAS Output

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

    A. Landfill Gas: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 143,844 11,250 125,848 4,081 2,665 2005 141,899 11,490 123,064 4,797 2,548 2006 160,033 16,617 136,108 6,644 664 2007 166,774 17,442 144,104 4,598 630 2008 195,777 20,465 169,547 5,235 530 2009 206,792 19,583 180,689 5,931 589 2010 218,331 19,975

  11. SAS Output

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

    A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 19,587 444 17,308 1,811 24 2005 19,370 560 17,033 1,753 25 2006 19,629 500 17,343 1,761 25 2007 19,576 553 17,116 1,785 122 2008 19,805 509 17,487 1,809 0 2009 19,669 465 17,048 2,155 0 2010 19,437 402 16,802 2,233 0 2011 16,972 388

  12. SAS Output

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

    D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 141,577 3,705 124,815 12,909 146 2005 144,339 4,724 126,529 12,923 164 2006 146,987 4,078 129,779 12,964 165 2007 146,308 4,557 127,826 13,043 881 2008 148,452 4,476 130,041 13,934 0 2009 146,971 3,989 126,649 16,333 0 2010 144,934

  13. SAS Output

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

    D. Other Waste Biomass: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 19,215 2,014 9,240 4,308 3,654 2005 17,852 2,485 7,365 4,677 3,325 2006 17,727 2,611 7,788 4,436 2,893 2007 19,083 2,992 8,861 4,049 3,181 2008 24,288 3,409 12,745 3,684 4,450 2009 24,847 3,679 13,231 3,760 4,177 2010 29,996 3,668 14,449 3,790

  14. SAS Output

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

    9. Consumption of Coal for Electricity Generation by State by Sector, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 2,310 2,773 -17% 544 616 1,753 2,144 0 0 13 13 Connecticut 499 419 19% 0 0 499 419 0 0 0 0 Maine 19 15 27% 0 0 10 7 0 0 9 8

  15. SAS Output

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

    0. Consumption of Petroleum Liquids for Electricity Generation by State, by Sector,. 2014 and 2013 (Thousand Barrels) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 3,673 2,017 82% 509 308 2,976 1,584 138 90 51 35 Connecticut 908 555 64% 17 11 871 535 15 6 6 2 Maine 526 461

  16. SAS Output

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

    1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0

  17. SAS Output

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

    2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2014 and 2013 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 356,658 388,323 -8.2% 3,585 2,587 330,872 354,489 9,416 8,407 12,786 22,839 Connecticut 108,833 115,211 -5.5% 121

  18. SAS Output

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

    3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 2014 and 2013 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 12,064 8,911 35% 0 0 11,388 8,201 676 711 0 0 Connecticut 531 549 -3.4% 0 0 531 549 0 0 0 0 Maine 860 829 3.8% 0

  19. SAS Output

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

    4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 3,947 3,913 0.9% 0 0 3,670 3,630 277 283 0 0 Connecticut 1,439 1,416 1.6% 0 0 1,362 1,330 77 86 0 0

  20. SAS Output

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

    ...4346,7250,132284,-94.5 "Southern Total",1590130,2345566,3254385,9855110,13781369,-28.5 " El Paso, TX","-","-","-",12,44,-72.7 " Houston-Galveston, TX","-","-",232716,9,844183,-100 ...