National Library of Energy BETA

Sample records for factor input costs

  1. Factors Impacting Decommissioning Costs - 13576

    SciTech Connect (OSTI)

    Kim, Karen; McGrath, Richard

    2013-07-01

    The Electric Power Research Institute (EPRI) studied United States experience with decommissioning cost estimates and the factors that impact the actual cost of decommissioning projects. This study gathered available estimated and actual decommissioning costs from eight nuclear power plants in the United States to understand the major components of decommissioning costs. Major costs categories for decommissioning a nuclear power plant are removal costs, radioactive waste costs, staffing costs, and other costs. The technical factors that impact the costs were analyzed based on the plants' decommissioning experiences. Detailed cost breakdowns by major projects and other cost categories from actual power plant decommissioning experiences will be presented. Such information will be useful in planning future decommissioning and designing new plants. (authors)

  2. Reducing Power Factor Cost

    Broader source: Energy.gov [DOE]

    Low power factor is expensive and inefficient. Many utility companies charge an additional fee if your power factor is less than 0.95. Low power factor also reduces your electrical system’s distribution capacity by increasing current flow and causing voltage drops. This fact sheet describes power factor and explains how you can improve your power factor to reduce electric bills and enhance your electrical system’s capacity.

  3. Factors Affecting PMU Installation Costs

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

    ... information to improve the modeling, forecasting and controls of the grid Standards ... Department of Energy |September 2014 Factors Affecting PMU Installation Costs | Page 3 ...

  4. Reducing Power Factor Cost

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

    ... The presence of both in the same circuit results in the continuous alternating transfer of ... In the diagram below, the power triangle shows an initial 0.70 power factor for a 100-kW ...

  5. Factors Affecting PMU Installation Costs (October 2014)

    Broader source: Energy.gov [DOE]

    The Department of Energy investigated the major cost factors that affected PMU installation costs for the synchrophasor projects funded through the Recovery Act Smart Grid Programs. The data was compiled through interviews with the nine projects that deployed production grade synchrophasor systems.

  6. Sensitivity of injection costs to input petrophysical parameters in numerical geologic carbon sequestration models

    SciTech Connect (OSTI)

    Cheng, C. L.; Gragg, M. J.; Perfect, E.; White, Mark D.; Lemiszki, P. J.; McKay, L. D.

    2013-08-24

    Numerical simulations are widely used in feasibility studies for geologic carbon sequestration. Accurate estimates of petrophysical parameters are needed as inputs for these simulations. However, relatively few experimental values are available for CO2-brine systems. Hence, a sensitivity analysis was performed using the STOMP numerical code for supercritical CO2 injected into a model confined deep saline aquifer. The intrinsic permeability, porosity, pore compressibility, and capillary pressure-saturation/relative permeability parameters (residual liquid saturation, residual gas saturation, and van Genuchten alpha and m values) were varied independently. Their influence on CO2 injection rates and costs were determined and the parameters were ranked based on normalized coefficients of variation. The simulations resulted in differences of up to tens of millions of dollars over the life of the project (i.e., the time taken to inject 10.8 million metric tons of CO2). The two most influential parameters were the intrinsic permeability and the van Genuchten m value. Two other parameters, the residual gas saturation and the residual liquid saturation, ranked above the porosity. These results highlight the need for accurate estimates of capillary pressure-saturation/relative permeability parameters for geologic carbon sequestration simulations in addition to measurements of porosity and intrinsic permeability.

  7. 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.

  8. Decommissioning Cost Estimating Factors And Earned Value Integration

    SciTech Connect (OSTI)

    Sanford, P.C.; Cimmarron, E.

    2008-07-01

    The Rocky Flats 771 Project progressed from the planning stage of decommissioning a plutonium facility, through the strip-out of highly-contaminated equipment, removal of utilities and structural decontamination, and building demolition. Actual cost data was collected from the strip-out activities and compared to original estimates, allowing the development of cost by equipment groupings and types and over time. Separate data was developed from the project control earned value reporting and compared with the equipment data. The paper discusses the analysis to develop the detailed factors for the different equipment types, and the items that need to be considered during characterization of a similar facility when preparing an estimate. The factors are presented based on direct labor requirements by equipment type. The paper also includes actual support costs, and examples of fixed or one-time start-up costs. The integration of the estimate and the earned value system used for the 771 Project is also discussed. The paper covers the development of the earned value system as well as its application to a facility to be decommissioned and an existing work breakdown structure. Lessons learned are provided, including integration with scheduling and craft supervision, measurement approaches, and verification of scope completion. In summary: The work of decommissioning the Rocky Flats 771 Project process equipment was completed in 2003. Early in the planning process, we had difficulty in identifying credible data and implementing processes for estimating and controlling this work. As the project progressed, we were able to collect actual data on the costs of removing plutonium contaminated equipment from various areas over the life of this work and associate those costs with individual pieces of equipment. We also were able to develop and test out a system for measuring the earned value of a decommissioning project based on an evolving estimate. These were elements that

  9. Parametric Analysis of the Factors Controlling the Costs of Sedimentar...

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

    ... Drilling costs have a significant impact on overall project costs. The default drilling cost curves in GETEM were used to estimate well costs. The table below shows the casing ...

  10. Energy Price Indices and Discount Factors for Life-Cycle Cost...

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

    Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2015 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2015 Handbook describes the annual ...

  11. Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis -

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

    2015 | Department of Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2015 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2015 Handbook describes the annual supplements to the NIST Handbook 135 and NBS Special Publication 709. Download the handbook. (564.47 KB) More Documents & Publications Guidance on Life-Cycle Cost Analysis Required by Executive Order 13123 Vehicle Technologies Office Merit Review 2015: Fuel-Neutral Studies of

  12. Parametric Analysis of the Factors Controlling the Costs of Sedimentary Geothermal Systems - Preliminary Results (Poster)

    SciTech Connect (OSTI)

    Augustine, C.

    2013-10-01

    Parametric analysis of the factors controlling the costs of sedimentary geothermal systems was carried out using a modified version of the Geothermal Electricity Technology Evaluation Model (GETEM). The sedimentary system modeled assumed production from and injection into a single sedimentary formation.

  13. Refiner Crude Oil Inputs

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

    Net Inputs (Refiner and Blender) of RBOB Blending Components Net Inputs (Refiner and Blender) of CBOB Blending Components Net Inputs (Refiner and Blender) of GTAB Blending ...

  14. Cost and Performance Assumptions for Modeling Electricity Generation Technologies

    SciTech Connect (OSTI)

    Tidball, Rick; Bluestein, Joel; Rodriguez, Nick; Knoke, Stu

    2010-11-01

    The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.

  15. Costs Associated With Compressed Natural Gas Vehicle Fueling Infrastructure

    SciTech Connect (OSTI)

    Smith, M.; Gonzales, J.

    2014-09-01

    This document is designed to help fleets understand the cost factors associated with fueling infrastructure for compressed natural gas (CNG) vehicles. It provides estimated cost ranges for various sizes and types of CNG fueling stations and an overview of factors that contribute to the total cost of an installed station. The information presented is based on input from professionals in the natural gas industry who design, sell equipment for, and/or own and operate CNG stations.

  16. Estimating Specialty Costs

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

    1997-03-28

    Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

  17. OOTW COST TOOLS

    SciTech Connect (OSTI)

    HARTLEY, D.S.III; PACKARD, S.L.

    1998-09-01

    This document reports the results of a study of cost tools to support the analysis of Operations Other Than War (OOTW). It recommends the continued development of the Department of Defense (DoD) Contingency Operational Support Tool (COST) as the basic cost analysis tool for 00TWS. It also recommends modifications to be included in future versions of COST and the development of an 00TW mission planning tool to supply valid input for costing.

  18. Prioritization Tool Measurement Input Form

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  19. ASPEN costing manual

    SciTech Connect (OSTI)

    Schwint, K.J.

    1986-07-25

    The ASPEN program contains within it a Cost Estimation System (CES) which estimates the purchase cost and utility consumption rates for major pieces of equipment in a process flowsheet as well as installed equipment costs. These estimates are ''preliminary-study grade'' with an accuracy of plus or minus 30%. The ASPEN program also contains within it an Economic Evaluation System (EES) which estimates overall capital investment costs, annual operating expenses and profitability indices for a chemical plant. This ASPEN costing manual has been written as a guide for those inexperienced in the use of ASPEN and unfamiliar with standard cost estimating techniques who want to use the ASPEN CES and EES. The ASPEN Costing Manual is comprised of the following sections: (1) Introduction, (2) ASPEN Input Language, (3) ASPEN Cost Estimation System (CES), (4) ASPEN Cost Blocks; and (5) ASPEN Economic Evaluation System (EES).

  20. Energy Cost Calculator for Electric and Gas Water Heaters | Department...

    Office of Environmental Management (EM)

    Electric and Gas Water Heaters Energy Cost Calculator for Electric and Gas Water Heaters Vary equipment size, energy cost, hours of operation, and or efficiency level. INPUT ...

  1. 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

  2. A Framework for Federated Two-Factor Authentication Enabling Cost-Effective Secure Access to Distributed Cyberinfrastructure

    SciTech Connect (OSTI)

    Ezell, Matthew A; Rogers, Gary L; Peterson, Gregory D.

    2012-01-01

    As cyber attacks become increasingly sophisticated, the security measures used to mitigate the risks must also increase in sophistication. One time password (OTP) systems provide strong authentication because security credentials are not reusable, thus thwarting credential replay attacks. The credential changes regularly, making brute-force attacks significantly more difficult. In high performance computing, end users may require access to resources housed at several different service provider locations. The ability to share a strong token between multiple computing resources reduces cost and complexity. The National Science Foundation (NSF) Extreme Science and Engineering Discovery Environment (XSEDE) provides access to digital resources, including supercomputers, data resources, and software tools. XSEDE will offer centralized strong authentication for services amongst service providers that leverage their own user databases and security profiles. This work implements a scalable framework built on standards to provide federated secure access to distributed cyberinfrastructure.

  3. Startup Costs

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

    1997-03-28

    This chapter discusses startup costs for construction and environmental projects, and estimating guidance for startup costs.

  4. 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....

  5. Cost Reductions with Multi-Megawatt Centralized Inverter Systems

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

    INTEGRATION Cost Reductions with Multi-Megawatt Centralized Inverter Systems Alencon Systems, LLC *99.1% Efficient Inverter System *Power Factor Control +/- 0.9 *2,500VDC *Low/Zero Voltage Ride Through *Compact Design *Liquid Cooling *Hot-Swap Capability *Lower Total Cost of Ownership *Large BOS System Savings Designed to be "Made in the USA" * Up to 25kW * String-wise MPPT * 300 to 1,000V DC Input Voltage * 2,500V DC Bi-polar Output Voltage * "Plug and Play" Topology *

  6. 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

  7. 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

  8. ,"U.S. Blender Net Input"

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

    11:31:21 PM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRBNUS...NUS1","MO7RBNUS1","MO9RBNUS1" "Date","U.S. Blender Net Input of Total Petroleum ...

  9. ,"U.S. Refinery Net Input"

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

    ...RONUS1","MO9RONUS1","MBARONUS1" "Date","U.S. Refinery Net Input of Crude Oil and Petroleum Products (Thousand Barrels)","U.S. Refinery Net Input of Crude Oil (Thousand ...

  10. Levelized cost and levelized avoided cost of new generation resources...

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

    3 The importance of the factors varies among the technologies. For technologies such as solar and wind generation that have no fuel costs and relatively small variable O&M costs,...

  11. 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

  12. Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants

    Reports and Publications (EIA)

    2013-01-01

    The current and future projected cost and performance characteristics of new electric generating capacity are a critical input into the development of energy projections and analyses.

  13. Operating Costs

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

    1997-03-28

    This chapter is focused on capital costs for conventional construction and environmental restoration and waste management projects and examines operating cost estimates to verify that all elements of the project have been considered and properly estimated.

  14. Analysis of environmental factors impacting the life cycle cost analysis of conventional and fuel cell/battery-powered passenger vehicles. Final report

    SciTech Connect (OSTI)

    1995-01-31

    This report presents the results of the further developments and testing of the Life Cycle Cost (LCC) Model previously developed by Engineering Systems Management, Inc. (ESM) on behalf of the U.S. Department of Energy (DOE) under contract No. DE-AC02-91CH10491. The Model incorporates specific analytical relationships and cost/performance data relevant to internal combustion engine (ICE) powered vehicles, battery powered electric vehicles (BPEVs), and fuel cell/battery-powered electric vehicles (FCEVs).

  15. ,"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...

  16. 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 ... Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 ...

  17. ,"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...

  18. ,"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...

  19. ,"U.S. Refinery Net Input"

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

    ...petpnpinpt2dcnusmbbla.htm" ,"Source:","Energy Information Administration" ,"For Help, ... Barrels)","U.S. Refinery Net Input of Hydrogen (Thousand Barrels)","U.S. Refinery Net ...

  20. ,"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...

  1. 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.

  2. BPA's Costs

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

    links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases BP-18 Rate Case Related Publications Meetings and Workshops Customer...

  3. ,"U.S. Blender Net Input"

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

    10:21:53 PM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRBNUS1...US1","MO7RBNUS1","MO9RBNUS1" "Date","U.S. Blender Net Input of Total Petroleum ...

  4. Levelized Power Generation Cost Codes

    Energy Science and Technology Software Center (OSTI)

    1996-04-30

    LPGC is a set of nine microcomputer programs for estimating power generation costs for large steam-electric power plants. These programs permit rapid evaluation using various sets of economic and technical ground rules. The levelized power generation costs calculated may be used to compare the relative economics of nuclear and coal-fired plants based on life-cycle costs. Cost calculations include capital investment cost, operation and maintenance cost, fuel cycle cost, decommissioning cost, and total levelized power generationmore » cost. These programs can be used for quick analyses of power generation costs using alternative economic parameters, such as interest rate, escalation rate, inflation rate, plant lead times, capacity factor, fuel prices, etc. The two major types of electric generating plants considered are pressurized water reactor (PWR) and pulverized coal-fired plants. Data are also provided for the Large Scale Prototype Breeder (LSPB) type liquid metal reactor.« less

  5. Factory Cost Model

    Energy Science and Technology Software Center (OSTI)

    1996-12-17

    The Factory Cost Model (FCM) is an economic analysis tool intended to provide flat panel display (FPD) and other similar discrete component manufacturers with the ability to make first-order estimates of the cost of unit production. This software has several intended uses. Primary among these is the ability to provide first-order economic analysis for future factories. Consequently, the model requires a minimal level of input detail, and accomodates situations where actual production data are notmore » available. This software is designed to be activity based such that most of the calculated direct costs are associated with the steps of a manufacturibg process. The FCM architecture has the ability to accomodate the analysis of existing manufacturing facilities. The FCM can provide assistance with strategic economic decisions surrounding production related matters. For instance, the program can project the effect on costs and resources of a new product''s introduction, or it can assess the potential cost reduction produced by step yield improvements in the manufacturing process.« less

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

    Energy Savers [EERE]

    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 ...

  7. Department of Energy Environmental Management cost infrastructure development program: Cost analysis requirements

    SciTech Connect (OSTI)

    Custer, W.R. Jr.; Messick, C.D.

    1996-03-31

    This report was prepared to support development of the Department of Energy Environmental Management cost infrastructure -- a new capability to independently estimate and analyze costs. Currently, the cost data are reported according to a structure that blends level of effort tasks with product and process oriented tasks. Also. the budgetary inputs are developed from prior year funding authorizations and from contractor-developed parametric estimates that have been adjusted to planned funding levels or appropriations. Consequently, it is difficult for headquarters and field-level activities to use actual cost data and technical requirements to independently assess the costs generated and identify trends, potential cost savings from process improvements, and cost reduction strategies.

  8. 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.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  10. 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.

  11. 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.

  12. Transmission line capital costs

    SciTech Connect (OSTI)

    Hughes, K.R.; Brown, D.R.

    1995-05-01

    The displacement or deferral of conventional AC transmission line installation is a key benefit associated with several technologies being developed with the support of the U.S. Department of Energy`s Office of Energy Management (OEM). Previous benefits assessments conducted within OEM have been based on significantly different assumptions for the average cost per mile of AC transmission line. In response to this uncertainty, an investigation of transmission line capital cost data was initiated. The objective of this study was to develop a database for preparing preliminary estimates of transmission line costs. An extensive search of potential data sources identified databases maintained by the Bonneville Power Administration (BPA) and the Western Area Power Administration (WAPA) as superior sources of transmission line cost data. The BPA and WAPA data were adjusted to a common basis and combined together. The composite database covers voltage levels from 13.8 to 765 W, with cost estimates for a given voltage level varying depending on conductor size, tower material type, tower frame type, and number of circuits. Reported transmission line costs vary significantly, even for a given voltage level. This can usually be explained by variation in the design factors noted above and variation in environmental and land (right-of-way) costs, which are extremely site-specific. Cost estimates prepared from the composite database were compared to cost data collected by the Federal Energy Regulatory Commission (FERC) for investor-owned utilities from across the United States. The comparison was hampered because the only design specifications included with the FERC data were voltage level and line length. Working within this limitation, the FERC data were not found to differ significantly from the composite database. Therefore, the composite database was judged to be a reasonable proxy for estimating national average costs.

  13. 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.

  14. U.S. Weekly Inputs & Utilization

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

    Area: U.S. East Coast (PADD 1) Midwest (PADD 2) Gulf Coast (PADD 3) Rocky Mountain (PADD 4) West Coast (PADD 5) Period: Weekly 4-Week Average Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 07/29/16 08/05/16 08/12/16 08/19/16 08/26/16 09/02/16 View History Refiner Inputs and Utilization Crude Oil Inputs 16,852 16,597 16,865 16,679 16,615 16,930 1982-2016 Gross Inputs 17,097 16,883 17,127 16,937

  15. Electric power substation capital costs

    SciTech Connect (OSTI)

    Dagle, J.E.; Brown, D.R.

    1997-12-01

    The displacement or deferral of substation equipment is a key benefit associated with several technologies that are being developed with the support of the US Department of Energy`s Office of Utility Technologies. This could occur, for example, as a result of installing a distributed generating resource within an electricity distribution system. The objective of this study was to develop a model for preparing preliminary estimates of substation capital costs based on rudimentary conceptual design information. The model is intended to be used by energy systems analysts who need ``ballpark`` substation cost estimates to help establish the value of advanced utility technologies that result in the deferral or displacement of substation equipment. This cost-estimating model requires only minimal inputs. More detailed cost-estimating approaches are recommended when more detailed design information is available. The model was developed by collecting and evaluating approximately 20 sets of substation design and cost data from about 10 US sources, including federal power marketing agencies and private and public electric utilities. The model is principally based on data provided by one of these sources. Estimates prepared with the model were compared with estimated and actual costs for the data sets received from the other utilities. In general, good agreement (for conceptual level estimating) was found between estimates prepared with the cost-estimating model and those prepared by the individual utilities. Thus, the model was judged to be adequate for making preliminary estimates of typical substation costs for US utilities.

  16. levelized costs

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

    levelized costs - 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 Energy Defense Waste Management Programs Advanced Nuclear

  17. 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.

  18. Costs Associated With Propane Vehicle Fueling Infrastructure

    SciTech Connect (OSTI)

    Smith, M.; Gonzales, J.

    2014-08-01

    This document is designed to help fleets understand the cost factors associated with propane vehicle fueling infrastructure. It provides an overview of the equipment and processes necessary to develop a propane fueling station and offers estimated cost ranges.

  19. Costs Associated With Propane Vehicle Fueling Infrastructure

    SciTech Connect (OSTI)

    Smith, M.; Gonzales, J.

    2014-08-05

    This document is designed to help fleets understand the cost factors associated with propane vehicle fueling infrastructure. It provides an overview of the equipment and processes necessary to develop a propane fueling station and offers estimated cost ranges.

  20. Computerized operating cost model for industrial steam generation

    SciTech Connect (OSTI)

    Powers, T.D.

    1983-02-01

    Pending EPA regulations, establishing revised emission levels for industrial boilers are perceived to have an effect on the relative costs of steam production technologies. To aid in the comparison of competitive boiler technologies, the Steam Cost Code was developed which provides levelized steam costs reflecting the effects of a number of key steam cost parameters. The Steam Cost Code is a user interactive FORTRAN program designed to operate on a VAX computer system. The program requires the user to input a number of variables describing the design characteristics, capital costs, and operating conditions for a specific boiler system. Part of the input to the Steam Cost Code is the capital cost of the steam production system. The capital cost is obtained from a program called INDCEPT, developed by Oak Ridge National Laboratory under Department of Energy, Morgantown Energy Technology Center sponsorship.

  1. 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...

  2. 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...

  3. 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...

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

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

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

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

    Office of Environmental Management (EM)

    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 ...

  6. 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 ...

  7. 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...

  8. New York Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) New York Natural Gas Input Supplemental ... Referring Pages: Total Supplemental Supply of Natural Gas New York Supplemental Supplies ...

  9. New Mexico Natural Gas Input Supplemental Fuels (Million Cubic...

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

    Input Supplemental Fuels (Million Cubic Feet) New Mexico Natural Gas Input Supplemental ... Referring Pages: Total Supplemental Supply of Natural Gas New Mexico Supplemental Supplies ...

  10. New Jersey Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) New Jersey Natural Gas Input Supplemental ... Referring Pages: Total Supplemental Supply of Natural Gas New Jersey Supplemental Supplies ...

  11. North Carolina Natural Gas Input Supplemental Fuels (Million...

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

    Input Supplemental Fuels (Million Cubic Feet) North Carolina Natural Gas Input ... Referring Pages: Total Supplemental Supply of Natural Gas North Carolina Supplemental ...

  12. North Dakota Natural Gas Input Supplemental Fuels (Million Cubic...

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

    Input Supplemental Fuels (Million Cubic Feet) North Dakota Natural Gas Input Supplemental ... Referring Pages: Total Supplemental Supply of Natural Gas North Dakota Supplemental ...

  13. 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...

  14. 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 ... Administration, Form EIA-22M ""Monthly Biodiesel Production Survey""" "U.S. Energy ...

  15. STCH Annual Merit Review Input - EERE Hydrogen Program. (Conference...

    Office of Scientific and Technical Information (OSTI)

    STCH Annual Merit Review Input - EERE Hydrogen Program. Citation Details In-Document Search Title: STCH Annual Merit Review Input - EERE Hydrogen Program. Abstract not provided. ...

  16. PADD 2 Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update (EIA)

    3 3,834 3,663 3,734 3,734 3,802 1992-2016 Gross Inputs 3,719 3,835 3,666 3,734 3,752 3,806 1990-2016 Operable Capacity (Calendar Day) 3,924 3,924 3,924 3,924 3,924 3,924 2010-2016 Percent Operable Utilization 94.8 97.7 93.4 95.2 95.6 97.0 2010-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components 473 498 590 583 331 302 2004-2016 RBOB 68 52 121 69 -1 56 2010-2016 CBOB 331 433 450 513 227 261 2004-2016 GTAB 0 0 0 0 0 0 2004-2016 All Other 74 13 19 1 105 -15 2004-2016 Fuel Ethanol

  17. 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

  18. CASIM input parameters for various materials

    SciTech Connect (OSTI)

    Malensek, A.J.; Elwyn, A.J.

    1994-07-14

    During the past year, the computer program CASIM has been placed in a common area from which copies can be obtained by a wide array of users. The impetus for this arrangement was the need to have a standard code that could be maintained and transported to other platforms. In addition, an historical record would be kept of each version as the program evolved. CASIM requires a series of parameters (input by the user) that describe the medium in which the cascade develops. Presently a total of 9 materials can be defined. Occasions arise when one needs to know the properties of materials (elements, compounds, and mixtures) that have not been defined. Because it is desirable to have a uniform set of values for all CASIM users, this note presents a methodology for obtaining the input parameters for an arbitrary material. They are read in by the Subroutine CASIM{underscore}PROG from the user supplied file CASIM.DAT.

  19. Energy Department Report Calculates Emissions and Costs of Power...

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

    does not consider other factors such as capital costs of construction for wind, solar, fossil-fueled power plants, or transmission. These costs are significant, but outside the...

  20. Cost Study Manual

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

    2 Cost Study Manual Executive Summary This Cost Study Manual documents the procedures for preparing a Cost Study to compare the cost of a contractor's employee benefits to the industry average from a broad-based national benefit cost survey. The annual Employee Benefits Cost Study Comparison (Cost Study) assists with the analysis of contractors' employee benefits costs. The Contracting Officer (CO) may require corrective action when the average benefit per capita cost or the benefit cost as a

  1. PADD 3 Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update (EIA)

    8,788 8,791 8,855 8,956 8,712 8,580 1992-2016 Gross Inputs 8,889 8,871 8,976 9,014 8,783 8,817 1990-2016 Operable Capacity (Calendar Day) 9,515 9,515 9,515 9,515 9,515 9,515 2010-2016 Percent Operable Utilization 93.4 93.2 94.3 94.7 92.3 92.7 2010-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components -2,249 -1,993 -2,117 -2,108 -2,293 -2,034 2004-2016 RBOB -419 -380 -321 -406 -471 -291 2010-2016 CBOB -1,794 -1,684 -1,852 -1,798 -1,870 -1,981 2004-2016 GTAB 0 0 0 0 0 0 2004-2016

  2. Evaluation of Global Onshore Wind Energy Potential and Generation Costs

    SciTech Connect (OSTI)

    Zhou, Yuyu; Luckow, Patrick; Smith, Steven J.; Clarke, Leon E.

    2012-06-20

    In this study, we develop an updated global estimate of onshore wind energy potential using reanalysis wind speed data, along with updated wind turbine technology performance and cost assumptions as well as explicit consideration of transmission distance in the calculation of transmission costs. We find that wind has the potential to supply a significant portion of world energy needs, although this potential varies substantially by region as well as with assumptions such as on what types of land can be used to site wind farms. Total global wind potential under central assumptions is estimated to be approximately 89 petawatt hours per year at less than 9 cents/kWh with substantial regional variations. One limitation of global wind analyses is that the resolution of current global wind speed reanalysis data can result in an underestimate of high wind areas. A sensitivity analysis of eight key parameters is presented. Wind potential is sensitive to a number of input parameters, particularly those related to land suitability and turbine density as well as cost and financing assumptions which have important policy implications. Transmission cost has a relatively small impact on total wind costs, changing the potential at a given cost by 20-30%. As a result of sensitivities studied here we suggest that further research intended to inform wind supply curve development focus not purely on physical science, such as better resolved wind maps, but also on these less well-defined factors, such as land-suitability, that will also have an impact on the long-term role of wind power.

  3. Realistic costs of carbon capture

    SciTech Connect (OSTI)

    Al Juaied, Mohammed . Belfer Center for Science and International Affiaris); Whitmore, Adam )

    2009-07-01

    transport and storage costs appears to be US$100-150/tCO2 for first-of-a-kind plants and perhaps US$30-50/tCO2 for nth-of-a-kind plants.The estimates for FOAK and NOAK costs appear to be broadly consistent in the light of estimates of the potential for cost reductions with increased experience. Cost reductions are expected from increasing scale, learning on individual components, and technological innovation including improved plant integration. Innovation and integration can both lower costs and increase net output with a given cost base. These factors are expected to reduce abatement costs by approximately 65% by 2030. The range of estimated costs for NOAK plants is within the range of plausible future carbon prices, implying that mature technology would be competitive with conventional fossil fuel plants at prevailing carbon prices.

  4. 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

  5. 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.

  6. Radiation View Factor With Shadowing

    Energy Science and Technology Software Center (OSTI)

    1992-02-24

    FACET calculates the radiation geometric view factor (alternatively called shape factor, angle factor, or configuration factor) between surfaces for axisymmetric, two-dimensional planar and three-dimensional geometries with interposed third surface obstructions. FACET was developed to calculate view factors as input data to finite element heat transfer analysis codes.

  7. U.S. Blender Net Input

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

    Jan-16 Feb-16 Mar-16 Apr-16 May-16 Jun-16 View History Total Input 242,396 238,655 257,960 253,448 266,176 262,899 2005-2016 Natural Gas Plant Liquids and Liquefied Refinery Gases 2,044 1,531 1,783 1,315 339 414 2008-2016 Pentanes Plus 489 347 423 177 194 276 2005-2016 Liquid Petroleum Gases 1,555 1,184 1,360 1,138 145 138 2008-2016 Normal Butane 1,555 1,184 1,360 1,138 145 138 2005-2016 Isobutane 2005-2015 Other Liquids 240,352 237,124 256,177 252,133 265,837 262,485 2008-2016

  8. 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 6,538 7,810 10,663 12,304 14,038 16,334 2008-2015 Pentanes Plus 1,989 2,326 4,164 4,241 3,184 2,554 2005-2015 Liquid Petroleum Gases 4,549 5,484 6,499 8,063 10,854 13,780 2008-2015 Normal Butane 4,549 5,484 6,499 8,063 10,823 13,741 2005-2015 Isobutane 31 39 2005-2015 Other Liquids 2,160,246 2,323,299 2,388,655

  9. Environmental geological input into urban construction planning

    SciTech Connect (OSTI)

    Berry, W.B.N. . Dept. of Geology and Geophysics)

    1992-01-01

    Environmental issues resulting from planning new construction in urban areas requires understanding of geological processes at many steps in project development. Steps include: assessments of geological characteristics of the proposed construction site, building design features in light of the geological characteristics, development of the geology component of the EIR as well as any mitigations required, and writing special environmental geological concerns into specifications required of the contractor. The latter step may be exemplified in planning a new underground library being constructed in the center of the Berkeley Campus. The site is within 50 yards of a creek that has been restored such that fish now live in it whereas none could three years ago. Runoff from paved parking lots and walkways around existing buildings goes into storm drains that empty directly into the creek. Because they do, creek water is monitored for chemical and solid wastes as well as turbidity. Based on geological input, special project procedures were written to which the contractor must adhere during site preparation and construction. These include: all liquid wastes must be contained in impermeable containers, all hazardous wastes must be removed under state waste removal guidelines, dewatering procedures were developed to remove groundwater that flows through permeable sands and gravels from the creek bed into the construction site and must be followed, and soil flux into the creek must be prevented. Mitigation of soil flux includes watering areas of the site as soil is excavated. Watering must be monitored because the contractor tends to overwater which flushes soil down nearby storm drains into the creek. As well, soil control monitoring includes preventing the contractor from sweeping soil into the storm drains and flushing it into the creek. Geological input has proven valuable in addressing different environmental concerns.

  10. PAFC Cost Challenges

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

    PAFC Cost Challenges Sridhar Kanuri Manager, PAFC Technology *Sridhar.Kanuri@utcpower.com 2 AGENDA Purecell® 400 cost challenge Cost reduction opportunities Summary 3 PURECELL ® FUEL CELL SYSTEM First cost 2010 cost reduction is being accomplished by incremental changes in technology & low cost sourcing Technology advances are required to reduce further cost and attain UTC Power's commercialization targets 2010 First unit 2010 Last unit Commercialization target Powerplant cost 4

  11. New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic...

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

    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 ...

  12. 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 ...

  13. 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 -...

  14. 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 ...

  15. Missouri Natural Gas Input Supplemental Fuels (Million Cubic...

    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 ...

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

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

    Input Supplemental Fuels (Million Cubic Feet) Minnesota 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 ...

  17. 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 ...

  18. 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 ...

  19. Kentucky Natural Gas Input Supplemental Fuels (Million Cubic...

    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 ...

  20. Louisiana Natural Gas Input Supplemental Fuels (Million Cubic...

    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 ...

  1. Michigan Natural Gas Input Supplemental Fuels (Million Cubic...

    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 ...

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

    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 ...

  3. 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 ...

  4. Virginia Natural Gas Input Supplemental Fuels (Million Cubic...

    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 ...

  5. 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 ...

  6. Washington Natural Gas Input Supplemental Fuels (Million Cubic...

    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 ...

  7. Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic...

    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 ...

  8. 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 ...

  9. Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic...

    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 ...

  10. 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,...

  11. ,"U.S. Downstream Processing of Fresh Feed Input"

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

    (Thousand Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input by Catalytic Cracking Units (Thousand Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input ...

  12. ,"U.S. Refinery Crude Oil Input Qualities"

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

    Content (Weighted Average) of Crude Oil Input to Refineries (Percent)","U.S. API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degrees)" 31062,0.88,32.64 ...

  13. ,"U.S. Refinery Crude Oil Input Qualities"

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

    Content (Weighted Average) of Crude Oil Input to Refineries (Percent)","U.S. API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degrees)" 31228,0.91,32.46 ...

  14. 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.

  15. 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.

  16. 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).

  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. 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)

  19. Cost Model and Cost Estimating Software

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

    1997-03-28

    This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.

  20. High-frequency matrix converter with square wave input

    SciTech Connect (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.

  1. H2A Delivery: Miscellaneous Cost and H2 Losses

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

    Miscellaneous Costs and H2 Losses Hydrogen Delivery Analysis Meeting May 8-9, 2006 Matt Ringer National Renewable Energy Laboratory H2A Delivery Presentation Outline * Direct and Indirect Costs * Operating and Maintenance Costs * Labor Costs and Scaling Factor * Component Hydrogen Losses H2A Delivery Direct and Indirect Costs * Currently posted model includes site preparation, engineering and design, project contingency, one-time licensing fees and permitting - Factor of 1.225 above installed

  2. Technological Feasibility and Cost Analysis | Department of Energy

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

    Systems Analysis » Analysis Methodologies » Technological Feasibility and Cost Analysis Technological Feasibility and Cost Analysis Technology Feasibility and Cost Analysis is performed to determine the potential economic viability of a process or technology, and helps to identify which technologies have the greatest likelihood of economic success. Results from technology feasibility analysis efforts provide input to balanced portfolio development and technology validation plans. The economic

  3. Development of surface mine cost estimating equations

    SciTech Connect (OSTI)

    Not Available

    1980-09-26

    Cost estimating equations were developed to determine capital and operating costs for five surface coal mine models in Central Appalachia, Northern Appalachia, Mid-West, Far-West, and Campbell County, Wyoming. Engineering equations were used to estimate equipment costs for the stripping function and for the coal loading and hauling function for the base case mine and for several mines with different annual production levels and/or different overburden removal requirements. Deferred costs were then determined through application of the base case depreciation schedules, and direct labor costs were easily established once the equipment quantities (and, hence, manpower requirements) were determined. The data points were then fit with appropriate functional forms, and these were then multiplied by appropriate adjustment factors so that the resulting equations yielded the model mine costs for initial and deferred capital and annual operating cost. (The validity of this scaling process is based on the assumption that total initial and deferred capital costs are proportional to the initial and deferred costs for the primary equipment types that were considered and that annual operating cost is proportional to the direct labor costs that were determined based on primary equipment quantities.) Initial capital costs ranged from $3,910,470 in Central Appalachia to $49,296,785; deferred capital costs ranged from $3,220,000 in Central Appalachia to $30,735,000 in Campbell County, Wyoming; and annual operating costs ranged from $2,924,148 in Central Appalachia to $32,708,591 in Campbell County, Wyoming. (DMC)

  4. Activity Based Costing

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

    1997-03-28

    Activity Based Costing (ABC) is method for developing cost estimates in which the project is subdivided into discrete, quantifiable activities or a work unit. This chapter outlines the Activity Based Costing method and discusses applicable uses of ABC.

  5. Evaluating the efficiency of municipalities in collecting and processing municipal solid waste: A shared input DEA-model

    SciTech Connect (OSTI)

    Rogge, Nicky; De Jaeger, Simon

    2012-10-15

    Highlights: Black-Right-Pointing-Pointer Complexity in local waste management calls for more in depth efficiency analysis. Black-Right-Pointing-Pointer Shared-input Data Envelopment Analysis can provide solution. Black-Right-Pointing-Pointer Considerable room for the Flemish municipalities to improve their cost efficiency. - Abstract: This paper proposed an adjusted 'shared-input' version of the popular efficiency measurement technique Data Envelopment Analysis (DEA) that enables evaluating municipality waste collection and processing performances in settings in which one input (waste costs) is shared among treatment efforts of multiple municipal solid waste fractions. The main advantage of this version of DEA is that it not only provides an estimate of the municipalities overall cost efficiency but also estimates of the municipalities' cost efficiency in the treatment of the different fractions of municipal solid waste (MSW). To illustrate the practical usefulness of the shared input DEA-model, we apply the model to data on 293 municipalities in Flanders, Belgium, for the year 2008.

  6. Current and future costs for parabolic trough and power tower systems in the US market.

    SciTech Connect (OSTI)

    Turchi, Craig; Kolb, Gregory J.; Mehos, Mark Steven; Ho, Clifford Kuofei

    2010-08-01

    NREL's Solar Advisor Model (SAM) is employed to estimate the current and future costs for parabolic trough and molten salt power towers in the US market. Future troughs are assumed to achieve higher field temperatures via the successful deployment of low melting-point, molten-salt heat transfer fluids by 2015-2020. Similarly, it is assumed that molten salt power towers are successfully deployed at 100MW scale over the same time period, increasing to 200MW by 2025. The levelized cost of electricity for both technologies is predicted to drop below 11 cents/kWh (assuming a 10% investment tax credit and other financial inputs outlined in the paper), making the technologies competitive in the marketplace as benchmarked by the California MPR. Both technologies can be deployed with large amounts of thermal energy storage, yielding capacity factors as high as 65% while maintaining an optimum LCOE.

  7. Current and Future Costs for Parabolic Trough and Power Tower Systems in the US Market: Preprint

    SciTech Connect (OSTI)

    Turchi, C.; Mehos, M.; Ho, C. K.; Kolb, G. J.

    2010-10-01

    NREL's Solar Advisor Model (SAM) is employed to estimate the current and future costs for parabolic trough and molten salt power towers in the US market. Future troughs are assumed to achieve higher field temperatures via the successful deployment of low melting-point, molten-salt heat transfer fluids by 2015-2020. Similarly, it is assumed that molten salt power towers are successfully deployed at 100MW scale over the same time period, increasing to 200MW by 2025. The levelized cost of electricity for both technologies is predicted to drop below 11 cents/kWh (assuming a 10% investment tax credit and other financial inputs outlined in the paper), making the technologies competitive in the marketplace as benchmarked by the California MPR. Both technologies can be deployed with large amounts of thermal energy storage, yielding capacity factors as high as 65% while maintaining an optimum LCOE.

  8. Cellulosic Ethanol Cost Target

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

    Plenary Talk May 21, 2013 Cellulosic Ethanol Cost Target 2 | Biomass Program ... "Our goal is to make cellulosic ethanol practical and cost competitive within 6 ...

  9. 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

  10. 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.

  11. DOE Seeks Industry Input on Nickel Disposition Strategy | Department of

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

    Energy Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy March 23, 2012 - 12:00pm Addthis 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. The EOI requests technical,

  12. ,"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...

  13. BETO Seeks Stakeholder Input on Achieving High Yields from Algal...

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

    BETO is seeking input from industry, academia, and other stakeholders regarding supply systems and services for the cultivation, logistics, and preprocessing of algal feedstocks. ...

  14. 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...

  15. USDA, Departments of Energy and Navy Seek Input from Industry...

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

    Industry to Advance Biofuels for Military and Commercial Transportation USDA, Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and ...

  16. Cost Estimation Package

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

    1997-03-28

    This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

  17. Life Cycle Cost Estimate

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

    1997-03-28

    Life-cycle costs (LCCs) are all the anticipated costs associated with a project or program alternative throughout its life. This includes costs from pre-operations through operations or to the end of the alternative.This chapter discusses life cycle costs and the role they play in planning.

  18. A chronicle of costs

    SciTech Connect (OSTI)

    Elioff, T.

    1994-04-01

    This report contains the history of all estimated costs associated with the superconducting super collider.

  19. Hydrogen Threshold Cost Calculation

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

    Program Record (Offices of Fuel Cell Technologies) Record #: 11007 Date: March 25, 2011 Title: Hydrogen Threshold Cost Calculation Originator: Mark Ruth & Fred Joseck Approved by: Sunita Satyapal Date: March 24, 2011 Description: The hydrogen threshold cost is defined as the hydrogen cost in the range of $2.00-$4.00/gge (2007$) which represents the cost at which hydrogen fuel cell electric vehicles (FCEVs) are projected to become competitive on a cost per mile basis with the competing

  20. Hydrogen Pathway Cost Distributions

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

    Pathway Cost Distributions Jim Uihlein Fuel Pathways Integration Tech Team January 25, 2006 2 Outline * Pathway-Independent Cost Goal * Cost Distribution Objective * Overview * H2A Influence * Approach * Implementation * Results * Discussion Process * Summary 3 Hydrogen R&D Cost Goal * Goal is pathway independent * Developed through a well defined, transparent process * Consumer fueling costs are equivalent or less on a cents per mile basis * Evolved gasoline ICE and gasoline-electric

  1. Cost Estimating Handbook for Environmental Restoration

    SciTech Connect (OSTI)

    1990-09-01

    Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.

  2. Electricity Generation Cost Simulation Model

    Energy Science and Technology Software Center (OSTI)

    2003-04-25

    The Electricity Generation Cost Simulation Model (GENSIM) is a user-friendly, high-level dynamic simulation model that calculates electricity production costs for variety of electricity generation technologies, including: pulverized coal, gas combustion turbine, gas combined cycle, nuclear, solar (PV and thermal), and wind. The model allows the user to quickly conduct sensitivity analysis on key variables, including: capital, O&M, and fuel costs; interest rates; construction time; heat rates; and capacity factors. The model also includes consideration ofmore » a wide range of externality costs and pollution control options for carbon dioxide, nitrogen oxides, sulfur dioxide, and mercury. Two different data sets are included in the model; one from the U.S. Department of Energy (DOE) and the other from Platt's Research Group. Likely users of this model include executives and staff in the Congress, the Administration and private industry (power plant builders, industrial electricity users and electric utilities). The model seeks to improve understanding of the economic viability of various generating technologies and their emission trade-offs. The base case results using the DOE data, indicate that in the absence of externality costs, or renewable tax credits, pulverized coal and gas combined cycle plants are the least cost alternatives at 3.7 and 3.5 cents/kwhr, respectively. A complete sensitivity analysis on fuel, capital, and construction time shows that these results coal and gas are much more sensitive to assumption about fuel prices than they are to capital costs or construction times. The results also show that making nuclear competitive with coal or gas requires significant reductions in capital costs, to the $1000/kW level, if no other changes are made. For renewables, the results indicate that wind is now competitive with the nuclear option and is only competitive with coal and gas for grid connected applications if one includes the federal production tax

  3. 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. symbiosis_conference_mei.pdf (2.47 MB) More Documents & Publications Symbiosis Biofeedstock Conference:

  4. Costs | Y-12 National Security Complex

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

    Costs Associated With Compressed Natural Gas Vehicle Fueling Infrastructure Factors to consider in the implementation of fueling stations and equipment Margaret Smith, New West Technologies (DOE HQ Technical Support) John Gonzales, National Renewable Energy Laboratory This document has been peer reviewed by the natural gas industry. September 2014 2 Introduction This document is designed to help fleets understand the cost factors associated with fueling infrastructure for compressed natural gas

  5. Energy efficiency improvement and cost saving opportunities forpetroleum refineries

    SciTech Connect (OSTI)

    Worrell, Ernst; Galitsky, Christina

    2005-02-15

    The petroleum refining industry in the United States is the largest in the world, providing inputs to virtually any economic sector,including the transport sector and the chemical industry. The industry operates 146 refineries (as of January 2004) around the country,employing over 65,000 employees. The refining industry produces a mix of products with a total value exceeding $151 billion. Refineries spend typically 50 percent of cash operating costs (i.e., excluding capital costs and depreciation) on energy, making energy a major cost factor and also an important opportunity for cost reduction. Energy use is also a major source of emissions in the refinery industry making energy efficiency improvement an attractive opportunity to reduce emissions and operating costs. Voluntary government programs aim to assist industry to improve competitiveness through increased energy efficiency and reduced environmental impact. ENERGY STAR (R), a voluntary program managed by the U.S. Environmental Protection Agency, stresses the need for strong and strategic corporate energy management programs. ENERGY STAR provides energy management tools and strategies for successful corporate energy management programs. This Energy Guide describes research conducted to support ENERGY STAR and its work with the petroleum refining industry.This research provides information on potential energy efficiency opportunities for petroleum refineries. This Energy Guide introduces energy efficiency opportunities available for petroleum refineries. It begins with descriptions of the trends, structure, and production of the refining industry and the energy used in the refining and conversion processes. Specific energy savings for each energy efficiency measure based on case studies of plants and references to technical literature are provided. If available, typical payback periods are also listed. The Energy Guide draws upon the experiences with energy efficiency measures of petroleum refineries worldwide

  6. Cost Methodology for Biomass Feedstocks: Herbaceous Crops and Agricultural Residues

    SciTech Connect (OSTI)

    Turhollow Jr, Anthony F; Webb, Erin; Sokhansanj, Shahabaddine

    2009-12-01

    This report describes a set of procedures and assumptions used to estimate production and logistics costs of bioenergy feedstocks from herbaceous crops and agricultural residues. The engineering-economic analysis discussed here is based on methodologies developed by the American Society of Agricultural and Biological Engineers (ASABE) and the American Agricultural Economics Association (AAEA). An engineering-economic analysis approach was chosen due to lack of historical cost data for bioenergy feedstocks. Instead, costs are calculated using assumptions for equipment performance, input prices, and yield data derived from equipment manufacturers, research literature, and/or standards. Cost estimates account for fixed and variable costs. Several examples of this costing methodology used to estimate feedstock logistics costs are included at the end of this report.

  7. Aerogel commercialization: Technology, markets and costs

    SciTech Connect (OSTI)

    Carlson, G.; Lewis, D.; McKinley, K.; Richardson, J.; Tillotson, T.

    1994-10-07

    Commercialization of aerogels has been slow due to several factors including cost and manufacturability issues. The technology itself is well enough developed as a result of work over the past decade by an international-community of researchers. Several extensive substantial markets appear to exist for aerogels as thermal and sound insulators, if production costs can keep prices in line with competing established materials. The authors discuss here the elements which they have identified as key cost drivers, and they give a prognosis for the evolution of the technology leading to reduced cost aerogel production.

  8. 2006 Update of Business Downtime Costs

    SciTech Connect (OSTI)

    Hinrichs, Mr. Doug; Goggin, Mr. Michael

    2007-01-01

    The objective of this paper is to assess the downtime cost of power outages to businesses in the commercial and industrial sectors, updating and improving upon studies that have already been published on this subject. The goal is to produce a study that, relative to existing studies, (1) applies to a wider set of business types (2) reflects more current downtime costs, (3) accounts for the time duration factor of power outages, and (4) includes data on the costs imposed by real outages in a well-defined market. This study examines power outage costs in 11 commercial subsectors and 5 industrial subsectors, using data on downtime costs that was collected in the 1990's. This study also assesses power outage costs for power outages of 20 minutes, 1 hour, and 4 hours duration. Finally, this study incorporates data on the costs of real power outages for two business subsectors. However, the current limited state of data availability on the topic of downtime costs means there is room to improve upon this study. Useful next steps would be to generate more recent data on downtime costs, data that covers outages shorter than 20 minutes duration and longer than 4 hours duration, and more data that is based on the costs caused by real-world outages. Nevertheless, with the limited data that is currently available, this study is able to generate a clear and detailed picture of the downtime costs that are faced by different types of businesses.

  9. 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.

  10. 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.

  11. Vehicle Cost Calculator

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

    Annual Fuel Cost gal Annual GHG Emissions (lbs of CO2) Vehicle Cost Calculator See Assumptions and Methodology Back Next U.S. Department of Energy Energy Efficiency and ...

  12. Direct/Indirect Costs

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

    1997-03-28

    This chapter provides recommended categories for direct and indirect elements developed by the Committee for Cost Methods Development (CCMD) and describes various estimating techniques for direct and indirect costs.

  13. User manual for IOSYM: an input-oriented simulation language for continuous systems

    SciTech Connect (OSTI)

    Polito, J.

    1981-03-01

    IOSYM is an extension of the GASP IV simulation language. It permits systems which are sequences of continuous processes to be modeled graphically. Normally the system can be described by data input only. The language permits stochastic sequencing and termination criteria for processes and allows crossing conditions for ending operations that are more general than GASP IV. Extensive capability exists for conditional branching and logical modification of the network. IOSYM has been used to model the cost of geothermal drilling where the various costly processes of drilling are represented by IOSYM operations. The language is much more general, however, since it retains most of GASP IV's discrete event capabilities and permits easy modeling of continuous processes.

  14. Power Plant Cycling Costs

    SciTech Connect (OSTI)

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

    2012-07-01

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

  15. Table A56. Number of Establishments by Total Inputs of Energy for Heat, Powe

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

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 2" ,,,"RSE" "SIC",,,"Row" "Code(a)","Industry Group and Industry","Total(b)","Factors" ,"RSE Column Factors:",1 20,"FOOD and KINDRED PRODUCTS"

  16. 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

  17. 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.

  18. 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...

  19. ,"U.S. Downstream Processing of Fresh Feed Input"

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

    Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input by Delayed and Fluid Coking Units (Thousand Barrels per Day)" 31958,,4370,946,1265 32324,,4514,931,1364 ...

  20. NREL Seeks Industry Input to Illuminate Trends in Renewable Energy

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

    Financing - News Releases | NREL NREL Seeks Industry Input to Illuminate Trends in Renewable Energy Financing August 8, 2011 The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) is seeking input from energy developers and financiers as part of an ongoing effort to collect and share quantitative data on renewable energy financing terms and to assess barriers to renewable energy development. The current Renewable Energy Finance Tracking Initiative (REFTI)

  1. DOE’s New Cost-Effectiveness Tool Builds the Business Case for Program Administrators

    Broader source: Energy.gov [DOE]

    In February, DOE released the beta version of a user-friendly tool that estimates the cost-effectiveness of a residential energy efficiency program based on a program administrator’s inputs. Public...

  2. DOE's New Cost-Effectiveness Tool Builds the Business Case for...

    Energy Savers [EERE]

    DOE released the beta version of a user-friendly tool that estimates the cost-effectiveness of a residential energy efficiency program based on a program administrator's inputs. ...

  3. Cost Contributors to Geothermal Power Production

    SciTech Connect (OSTI)

    Nathwani, Jay; Mines, Greg

    2011-07-01

    The US Department of Energy Geothermal Technologies Office (DOE-GTO) has developed the tool Geothermal Electricity Technologies Evaluation Model (GETEM) to assess the levelized cost of electricity (LCOE) of power produced from geothermal resources. Recently modifications to GETEM allow the DOE-GTO to better assess how different factors impact the generation costs, including initial project risk, time required to complete a development, and development size. The model characterizes the costs associated with project risk by including the costs to evaluate and drill those sites that are considered but not developed for commercial power generation, as well as to assign higher costs to finance those activities having more risk. This paper discusses how the important parameters impact the magnitude project costs for different project scenarios. The cost distributions presented include capital cost recovery for the exploration, confirmation, well field completion and power plant construction, as well as the operation and maintenance (O&M) costs. The paper will present these cost distributions for both EGS and hydrothermal resources.

  4. Handbook for cost estimating. A method for developing estimates of costs for generic actions for nuclear power plants

    SciTech Connect (OSTI)

    Ball, J.R.; Cohen, S.; Ziegler, E.Z.

    1984-10-01

    This document provides overall guidance to assist the NRC in preparing the types of cost estimates required by the Regulatory Analysis Guidelines and to assist in the assignment of priorities in resolving generic safety issues. The Handbook presents an overall cost model that allows the cost analyst to develop a chronological series of activities needed to implement a specific regulatory requirement throughout all applicable commercial LWR power plants and to identify the significant cost elements for each activity. References to available cost data are provided along with rules of thumb and cost factors to assist in evaluating each cost element. A suitable code-of-accounts data base is presented to assist in organizing and aggregating costs. Rudimentary cost analysis methods are described to allow the analyst to produce a constant-dollar, lifetime cost for the requirement. A step-by-step example cost estimate is included to demonstrate the overall use of the Handbook.

  5. Rocky Flats Closure Unit Cost Data

    SciTech Connect (OSTI)

    Sanford, P.C.; Skokan, B.

    2007-07-01

    The Rocky Flats Closure Project has completed the process of stabilizing residual nuclear materials, decommissioning nuclear facilities, remediating environmental media and closing the Rocky Flats Site (Site). The project cost approximately $4.1 B and included the decommissioning of over 700 structures including 5 major plutonium facilities and 5 major uranium facilities, shipping over 14,600 cubic meters of transuranic and 565,000 cubic meters of low level radioactive waste, and remediating a 385-acre industrial area and the surrounding land. Actual costs were collected for a large variety of closure activities. These costs can be correlated with metrics associated with the facilities and environmental media to capture cost factors from the project that could be applicable to a variety of other closure projects both within and outside of the Department of Energy's weapons complex. The paper covers four general topics: the process to correlate the actual costs and metrics, an example of the correlated data for one large sub-project, a discussion of the results, and the additional activities that are planned to correlate and make this data available to the public. The process to collect and arrange the project control data of the Closure Project relied on the actual Closure Project cost information. It was used to correlate these actual costs with the metrics for the physical work, such as building area or waste generated, to support the development of parametric cost factors. The example provides cost factors for the Industrial Sites Project. The discussion addresses the strengths and weaknesses of the data, followed by a section identifying future activities to improve and extend the analyses and integrate it within the Department's Environmental Cost Analysis System. (authors)

  6. Cost analysis guidelines

    SciTech Connect (OSTI)

    Strait, R.S.

    1996-01-10

    The first phase of the Depleted Uranium Hexafluoride Management Program (Program)--management strategy selection--consists of several program elements: Technology Assessment, Engineering Analysis, Cost Analysis, and preparation of an Environmental Impact Statement (EIS). Cost Analysis will estimate the life-cycle costs associated with each of the long-term management strategy alternatives for depleted uranium hexafluoride (UF6). The scope of Cost Analysis will include all major expenditures, from the planning and design stages through decontamination and decommissioning. The costs will be estimated at a scoping or preconceptual design level and are intended to assist decision makers in comparing alternatives for further consideration. They will not be absolute costs or bid-document costs. The purpose of the Cost Analysis Guidelines is to establish a consistent approach to analyzing of cost alternatives for managing Department of Energy`s (DOE`s) stocks of depleted uranium hexafluoride (DUF6). The component modules that make up the DUF6 management program differ substantially in operational maintenance, process-options, requirements for R and D, equipment, facilities, regulatory compliance, (O and M), and operations risk. To facilitate a consistent and equitable comparison of costs, the guidelines offer common definitions, assumptions or basis, and limitations integrated with a standard approach to the analysis. Further, the goal is to evaluate total net life-cycle costs and display them in a way that gives DOE the capability to evaluate a variety of overall DUF6 management strategies, including commercial potential. The cost estimates reflect the preconceptual level of the designs. They will be appropriate for distinguishing among management strategies.

  7. Workplace Charging Installation Costs

    Broader source: Energy.gov [DOE]

    Installation costs and services vary considerably, so employers are encouraged to obtain a number of quotes before moving forward with any installation. An initial site investigation should include:

  8. Low Cost, Durable Seal

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

    UTC Power Corporation February 14, 2007 This presentation does not contain any proprietary or confidential information 1 LOW COST, DURABLE SEAL Outline * Project Objective * ...

  9. substantially reduced production costs

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

    production costs - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy ...

  10. SOFT COST GRAND CHALLENGE

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

    energycenter.org California Center for Sustainable Energy Soft Cost Grand Challenge May 22, 2014 Accelerating the transition to a sustainable world powered by clean energy 2...

  11. 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

  12. 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.

  13. Social cost impact assessment of pipeline infrastructure projects

    SciTech Connect (OSTI)

    Matthews, John C.; Allouche, Erez N.; Sterling, Raymond L.

    2015-01-15

    A key advantage of trenchless construction methods compared with traditional open-cut methods is their ability to install or rehabilitate underground utility systems with limited disruption to the surrounding built and natural environments. The equivalent monetary values of these disruptions are commonly called social costs. Social costs are often ignored by engineers or project managers during project planning and design phases, partially because they cannot be calculated using standard estimating methods. In recent years some approaches for estimating social costs were presented. Nevertheless, the cost data needed for validation of these estimating methods is lacking. Development of such social cost databases can be accomplished by compiling relevant information reported in various case histories. This paper identifies eight most important social cost categories, presents mathematical methods for calculating them, and summarizes the social cost impacts for two pipeline construction projects. The case histories are analyzed in order to identify trends for the various social cost categories. The effectiveness of the methods used to estimate these values is also discussed. These findings are valuable for pipeline infrastructure engineers making renewal technology selection decisions by providing a more accurate process for the assessment of social costs and impacts. - Highlights: • Identified the eight most important social cost factors for pipeline construction • Presented mathematical methods for calculating those social cost factors • Summarized social cost impacts for two pipeline construction projects • Analyzed those projects to identify trends for the social cost factors.

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

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

    Department of Energy Abandoned Uranium Mines Report to Congress: LM Wants Your Input Abandoned Uranium Mines Report to Congress: LM Wants Your Input April 11, 2013 - 1:33pm Addthis C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts What does this project do? Goal 4. Optimize the use of land and assets Abandoned Uranium Mines Report to Congress The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is seeking stakeholder

  15. 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.

  16. 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:

  17. DOE Seeks Input On Addressing Contractor Pension and Medical...

    Office of Environmental Management (EM)

    the increasing costs and liabilities of contractor employee pension and medical benefits. ... contractor employee pension and medical benefits to current employees and retirees. ...

  18. Simple Modular LED Cost Model

    Broader source: Energy.gov [DOE]

    The LED Cost Model, developed by the DOE Cost Modeling Working Group, provides a simplified method for analyzing the manufacturing costs of an LED package. The model focuses on the major cost...

  19. Decommissioning Unit Cost Data

    SciTech Connect (OSTI)

    Sanford, P. C.; Stevens, J. L.; Brandt, R.

    2002-02-26

    The Rocky Flats Closure Site (Site) is in the process of stabilizing residual nuclear materials, decommissioning nuclear facilities, and remediating environmental media. A number of contaminated facilities have been decommissioned, including one building, Building 779, that contained gloveboxes used for plutonium process development but did little actual plutonium processing. The actual costs incurred to decommission this facility formed much of the basis or standards used to estimate the decommissioning of the remaining plutonium-processing buildings. Recent decommissioning activities in the first actual production facility, Building 771, implemented a number of process and procedural improvements. These include methods for handling plutonium contaminated equipment, including size reduction, decontamination, and waste packaging, as well as management improvements to streamline planning and work control. These improvements resulted in a safer working environment and reduced project cost, as demonstrated in the overall project efficiency. The topic of this paper is the analysis of how this improved efficiency is reflected in recent unit costs for activities specific to the decommissioning of plutonium facilities. This analysis will allow the Site to quantify the impacts on future Rocky Flats decommissioning activities, and to develop data for planning and cost estimating the decommissioning of future facilities. The paper discusses the methods used to collect and arrange the project data from the individual work areas within Building 771. Regression and data correlation techniques were used to quantify values for different types of decommissioning activities. The discussion includes the approach to identify and allocate overall project support, waste management, and Site support costs based on the overall Site and project costs to provide a ''burdened'' unit cost. The paper ultimately provides a unit cost basis that can be used to support cost estimates for

  20. 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.

  1. Procedure for developing biological input for the design, location, or modification of water-intake structures

    SciTech Connect (OSTI)

    Neitzel, D.A.; McKenzie, D.H.

    1981-12-01

    To minimize adverse impact on aquatic ecosystems resulting from the operation of water intake structures, design engineers must have relevant information on the behavior, physiology and ecology of local fish and shellfish. Identification of stimulus/response relationships and the environmental factors that influence them is the first step in incorporating biological information in the design, location or modification of water intake structures. A procedure is presented in this document for providing biological input to engineers who are designing, locating or modifying a water intake structure. The authors discuss sources of stimuli at water intakes, historical approaches in assessing potential/actual impact and review biological information needed for intake design.

  2. Computerized management report system for monitoring manpower and cost

    SciTech Connect (OSTI)

    Bullington, V.R.; Stephenson, R.L.; Cardwell, R.G.

    1980-04-01

    Although most cost systems offer complete detail and traceability, not all provide timely detail in a concise form useful to senior management. This system was developed for a multifunction research organization funded from many sources. It extracts cost and manpower data from the general cost systems, summarizes it, compares it by program with previous cost periods, and presents it with minimum detail yet with maximum overview. The system monitors the basic manpower distribution of effort at the source, that is, the division time-card input. Cost data are taken from the central computer ahead of the print-out and report-distribution steps; thus, the summary information is available several days ahead of the detailed reports. This procedure has been regularly used for several months, and has proven to be a valuable tool in management action and planning. 9 figures.

  3. Workplace Charging Equipment Costs

    Broader source: Energy.gov [DOE]

    Charging stations are available from a variety of manufacturers in a range of models for all charging applications. For a single port charging station, Level 1 hardware costs range from $300-$1,500...

  4. Cost Estimating Guide

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

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

  5. Liquefaction and Pipeline Costs

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

    Distribution Pipeline Costs Collected historical Oil & Gas Journal data, and surveyed for ... mile Downtown: 1 to 8 in. Downtown: 4 to 20 in. Urban H2A Right of Way Oil & Gas Journal

  6. INDEPENDENT COST REVIEW (ICR)

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

    ... Report SOP Standard Operating Procedure TEC Total Estimated Cost TIPR Technical ... FY13 FY14 FY15 FY16 Total PED Construction TEC OPC TPC Note: above values include MR...

  7. Soft Costs Fact Sheet

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

    Energy SunShot Initiative is a collaborative national effort to make solar energy technologies cost-competitive with conventional forms of energy by the end of the decade. ...

  8. Estimating Renewable Energy Costs

    Office of Energy Efficiency and Renewable Energy (EERE)

    Some renewable energy measures, such as daylighting, passive solar heating, and cooling load avoidance, do not add much to the cost of a building. However, renewable energy technologies typically...

  9. Vehicle Cost Calculator

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

    Choose a vehicle to compare fuel cost and emissions with a conventional vehicle. Select FuelTechnology Electric Hybrid Electric Plug-in Hybrid Electric Natural Gas (CNG) Flex Fuel ...

  10. Cost Estimating Guide

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

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates.

  11. Cost Estimating Guide

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

    1997-03-28

    The objective of this Guide is to improve the quality of cost estimates and further strengthen the DOE program/project management system. The original 25 separate chapters and three appendices have been combined to create a single document.

  12. System Cost Model

    Energy Science and Technology Software Center (OSTI)

    1996-03-27

    SCM is used for estimation of the life-cycle impacts (costs, health and safety risks) of waste management facilities for mixed low-level, low-level, and transuranic waste. SCM uses parametric cost functions to estimate life-cycle costs for various treatment, storage, and disposal modules which reflect planned and existing waste management facilities at Department of Energy (DOE) installations. SCM also provides transportation costs for intersite transfer of DOE wastes. SCM covers the entire DOE waste management complex tomore » allow system sensitivity analysis including: treatment, storage, and disposal configuration options; treatment technology selection; scheduling options; transportation options; waste stream and volume changes; and site specific conditions.« less

  13. Power Plant Cycling Costs

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

    ... Intertek APTECH has organized the cycling cost data in consultation with NREL and WECC by the following eight generator plant types: 1. Small coal-fired sub-critical steam (35-299 ...

  14. Independent Cost Estimate (ICE)

    Broader source: Energy.gov [DOE]

    Independent Cost Estimate (ICE). On August 8-12, the Office of Project Management Oversight and Assessments (PM) will conduct an ICE on the NNSA Albuquerque Complex Project (NACP) at Albuquerque, NM. This estimate will support the Critical Decision (CD) for establishing the performance baseline and approval to start construction (CD-2/3). This project is at CD-1, with a total project cost range of $183M to $251M.

  15. Vehicle Cost Calculator

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

    Choose a vehicle to compare fuel cost and emissions with a conventional vehicle. Select Fuel/Technology Electric Hybrid Electric Plug-in Hybrid Electric Natural Gas (CNG) Flex Fuel (E85) Biodiesel (B20) Next Vehicle Cost Calculator Update Your Widget Code This widget version will stop working on March 31. Update your widget code. × Widget Code Select All Close U.S. Department of Energy Energy Efficiency and Renewable Energy

  16. Soft Costs | Department of Energy

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

    Soft Costs » Soft Costs Soft Costs The U.S. Department of Energy (DOE) SunShot Initiative's soft costs program works to lower the non-hardware costs of solar and accelerate the adoption of solar energy technologies throughout the United States. In support of the SunShot Initiative goals, the soft costs program works in the following strategic areas: networking and technical assistance, data analysis, business innovation, and training. Soft Costs Activity Areas, Business Innovation, Networking

  17. Input for solar annual merit review. (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Input for solar annual merit review. Citation Details In-Document Search Title: Input for solar annual merit review. Abstract not provided. Authors: Siegel, Nathan Phillip ...

  18. 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.

  19. 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

  20. 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: 08/31/2016 Next Release

  1. 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 =

  2. 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: 08/31/2016 Next Release Date:

  3. 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

  4. 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.

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

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

    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 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 7 0 0 0 91 101 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: 08/31/2016 Next Release Date:

  6. 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: 08/31/2016 Next Release Date:

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

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

    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 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 144 1,584 1,077 291 239 343 298 180 245 251 1990's 111 146 40 94 29 68 48 37 33 31 2000's 20 6 6 57 191 273 91 0 0 1 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  8. 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:

  9. 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: 08/31/2016

  10. 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: 08/31/2016 Next Release Date:

  11. 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 =

  12. 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 =

  13. 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:

  14. 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: 08/31/2016 Next

  15. 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: 08/31/2016 Next

  16. 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: 08/31/2016 Next Release

  17. An input shaping controller enabling cranes to move without sway

    SciTech Connect (OSTI)

    Singer, N.; Singhose, W.; Kriikku, E.

    1997-06-01

    A gantry crane at the Savannah River Technology Center was retrofitted with an Input Shaping controller. The controller intercepts the operator`s pendant commands and modifies them in real time so that the crane is moved without residual sway in the suspended load. Mechanical components on the crane were modified to make the crane suitable for the anti-sway algorithm. This paper will describe the required mechanical modifications to the crane, as well as, a new form of Input Shaping that was developed for use on the crane. Experimental results are presented which demonstrate the effectiveness of the new process. Several practical considerations will be discussed including a novel (patent pending) approach for making small, accurate moves without residual oscillations.

  18. U.S. Total Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update (EIA)

    670 16,711 16,725 16,725 16,748 16,689 1982-2016 Gross Inputs 16,957 16,999 16,994 17,008 17,011 16,988 1990-2016 Operable Capacity (Calendar Day) 18,317 18,320 18,320 18,320 18,320 18,320 1990-2016 Percent Operable Utilization 92.6 92.8 92.8 92.8 92.9 92.7 1990-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components 790 821 948 1,053 1,041 989 2008-2016 RBOB 271 297 418 463 452 458 2010-2016 CBOB 8 90 145 174 167 39 2010-2016 GTAB 182 148 162 169 127 125 2010-2016 All Other 329

  19. Helstat: an anticipatory storage-heater input controller

    SciTech Connect (OSTI)

    McIntyre, D.A.

    1985-07-01

    A new charge input controller is described, for use with static emission or damper controlled storage radiators. The controller senses the inside surface temperature of an external wall at skirting level. The measurement position has the following advantages: it is influenced by both inside and outside temperatures; it dampens out external temperature fluctuations; and it is relatively insensitive to short-term internal air temperature variations.

  20. A model of the Capital Cost of a natural gas-fired fuel cell based Central Utilities Plant

    SciTech Connect (OSTI)

    Not Available

    1993-06-30

    This model defines the methods used to estimate the cost associated with acquisition and installation of capital equipment of the fuel cell systems defined by the central utility plant model. The capital cost model estimates the cost of acquiring and installing the fuel cell unit, and all auxiliary equipment such as a boiler, air conditioning, hot water storage, and pumps. The model provides a means to adjust initial cost estimates to consider learning associated with the projected level of production and installation of fuel cell systems. The capital cost estimate is an input to the cost of ownership analysis where it is combined with operating cost and revenue model estimates.

  1. 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.

  2. Simple cost model for EV traction motors

    SciTech Connect (OSTI)

    Cuenca, R.M.

    1995-02-01

    A simple cost model has been developed that allows the calculation of the OEM cost of electric traction motors of three different types, normalized as a function of power in order to accommodate different power and size. The model includes enough information on the various elements integrated in the motors to allow analysis of individual components and to factor-in the effects of changes in commodities prices. A scalable cost model for each of the main components of an electric vehicle (EV) is a useful tool that can have direct application in computer simulation or in parametric studies. For the cost model to have wide usefulness, it needs to be valid for a range of values of some parameter that determines the magnitude or size of the component. For instance, in the case of batteries, size may be determined by energy capacity, usually expressed in kilowatt-hours (kWh), while in the case of traction motors, size is better determined by rated power, usually expressed in kilowatts (kW). The simplest case is when the cost of the component in question is a direct function of its size; then cost is simply the product of its specific cost ($/unit size) and the number of units (size) in the vehicle in question. Batteries usually fall in this category (cost = energy capacity x $/kWh). But cost is not always linear with size or magnitude; motors (and controllers), for instance, become relatively less expensive as power rating increases. Traction motors, one of the main components for EV powertrains are examined in this paper, and a simplified cost model is developed for the three most popular design variations.

  3. Contaminant transport in unconfined aquifer, input to low-level tank waste interim performance assessment

    SciTech Connect (OSTI)

    Lu, A.H., Westinghouse Hanford

    1996-08-14

    This report describes briefly the Hanford sitewide groundwater model and its application to the Low-Level Tank Waste Disposal (LLTWD) interim Performance Assessment (PA). The Well Intercept Factor (WIF) or dilution factor from a given areal flux entering the aquifer released from the LLTWD site are calculated for base case and various sensitivity cases. In conjunction with the calculation for released fluxes through vadose zone transport,the dose at the compliance point can be obtained by a simple multiplication. The relative dose contribution from the upstream sources was also calculated and presented in the appendix for an equal areal flux at the LLTWD site. The results provide input for management decisions on remediation action needed for reduction of the released fluxes from the upstream facilities to the allowed level to meet the required dose criteria.

  4. Human factors: a necessary tool for industry

    SciTech Connect (OSTI)

    Starcher, K.O.

    1984-03-09

    The need for human factors (ergonomics) input in the layout of a ferroelectric ceramics laboratory is presented as an example of the overall need for human factors professionals in industry. However, even in the absence of one trained in human factors, knowledge of a few principles in ergonomics will provide many possibilities for improving performance in the industrial environment.

  5. Table 1. Updated estimates of power plant capital and operating costs

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

    Updated estimates of power plant capital and operating costs" ,"Plant Characteristics",,,"Plant Costs (2012$)" ,"Nominal Capacity (MW)","Heat Rate (Btu/kWh)",,"Overnight Capital Cost ($/kW)","Fixed O&M Cost ($/kW-yr)","Variable O&M Cost ($/MWh)" ,,,,,,,"NEMS Input" " Coal" "Single Unit Advanced PC",650,8800,,3246,37.8,4.47,"N" "Dual Unit Advanced

  6. Cost estimates for the Uranium-in-Soils Integrated Demonstration field screening technologies

    SciTech Connect (OSTI)

    Douthat, D.M.; Armstrong, A.Q.; Ladd, B.

    1993-09-01

    The objective of this document is to describe the work conducted by the ORNL Performance Assessment Group members responsible for developing the cost analysis reports for the uranium-in-soils Integrated Demonstration (ID). The following information is provided in this report: (1) an explanation of the cost input questionnaires, which were sent to the developers of the field screening technologies and used by the cost estimator to acquire information and develop the cost estimates, (2) a description of the computer software package chosen to create the cost estimates, as well as why it was chosen, (3) a description of how the Uranium-in-Soils ID project is broken down structurally in terms of a work breakdown structure (WBS) for the cost estimates, (4) an explanation of the assumptions made by the cost estimator in developing the cost estimates, (5) a summary of the expected costs for each field screening technology, and (6) an explanation of how the cost analysis reports for a scenario evaluation (provided in the cost input questionnaires) were derived, as well as a summary of the scenario evaluation costs for each technology.

  7. Soft Costs | Department of Energy

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

    costs program works to lower the non-hardware costs of ... data analysis, business innovation, and training. ... for as much as 64% of the total cost of a new solar system. ...

  8. QGESS: Capital Cost Scaling Methodology

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

    the tonnes of CO2 utilized. The costs of the process are to include infrastructure, raw materials, processing, byproduct disposal, and utilities costs, as well as any other costs....

  9. Low Cost, Durable Seal

    SciTech Connect (OSTI)

    Roberts, George; Parsons, Jason; Friedman, Jake

    2010-12-17

    Seal durability is critical to achieving the 2010 DOE operational life goals for both stationary and transportation PEM fuel cell stacks. The seal material must be chemically and mechanically stable in an environment consisting of aggressive operating temperatures, humidified gases, and acidic membranes. The seal must also be producible at low cost. Currentlyused seal materials do not meet all these requirements. This project developed and demonstrated a high consistency hydrocarbon rubber seal material that was able to meet the DOE technical and cost targets. Significant emphasis was placed on characterization of the material and full scale molding demonstrations.

  10. Economic Competitiveness of U.S. Utility-Scale Photovoltaics Systems in 2015: Regional Cost Modeling of Installed Cost ($/W) and LCOE ($/kWh)

    SciTech Connect (OSTI)

    Fu, Ran; James, Ted L.; Chung, Donald; Gagne, Douglas; Lopez, Anthony; Dobos, Aron

    2015-06-14

    Utility-scale photovoltaics (PV) system growth is largely driven by the economic metrics of total installed costs and levelized cost of electricity (LCOE), which differ by region. This study details regional cost factors, including environment (wind speed and snow loads), labor costs, material costs, sales taxes, and permitting costs using a new system-level bottom-up cost modeling approach. We use this model to identify regional all-in PV installed costs for fixed-tilt and one-axis tracker systems in the United States with consideration of union and non-union labor costs in 2015. LCOEs using those regional installed costs are then modeled and spatially presented. Finally, we assess the cost reduction opportunities of increasing module conversion efficiencies on PV system costs in order to indicate the possible economic impacts of module technology advancements and help future research and development (R&D) effects in the context of U.S. SunShot targets.

  11. 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.

  12. Turbine Cost Systems Engineering Model

    Energy Science and Technology Software Center (OSTI)

    2012-09-30

    turb_costSE is a set of models that link wind turbine component masses (and a few other key variables) to component costs.

  13. Heliostat cost reduction study.

    SciTech Connect (OSTI)

    Jones, Scott A.; Lumia, Ronald. (University of New Mexico, Albuquerque, NM); Davenport, Roger (Science Applications International Corporation, San Diego, CA); Thomas, Robert C. (Advanced Thermal Systems, Centennial, CO); Gorman, David; Kolb, Gregory J.; Donnelly, Matthew W.

    2007-06-01

    Power towers are capable of producing solar-generated electricity and hydrogen on a large scale. Heliostats are the most important cost element of a solar power tower plant. Since they constitute {approx} 50% of the capital cost of the plant it is important to reduce heliostat cost as much as possible to improve the economic performance of power towers. In this study we evaluate current heliostat technology and estimate a price of $126/m{sup 2} given year-2006 materials and labor costs for a deployment of {approx}600 MW of power towers per year. This 2006 price yields electricity at $0.067/kWh and hydrogen at $3.20/kg. We propose research and development that should ultimately lead to a price as low as $90/m{sup 2}, which equates to $0.056/kWh and $2.75/kg H{sup 2}. Approximately 30 heliostat and manufacturing experts from the United States, Europe, and Australia contributed to the content of this report during two separate workshops conducted at the National Solar Thermal Test Facility.

  14. Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic

    Office of Environmental Management (EM)

    Activities and Events Activities and Events Upcoming Events On September 15, 2016, the Department will host a meeting to summarize the input received in the initial phase of public engagement on consent-based siting and discuss next steps in designing a process. The meeting will be held in Washington, DC at the Embassy Suites by Hilton Washington, D.C. Convention Center (900 10th Street, NW, Washington, DC 20001). Meeting Information: To learn more about this event and view an agenda, please

  15. 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)

  16. 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: 08/31/2016 Next Release Date: 09/30/2016 Referring Pages: Total Supplemental Supply of Natural Gas Alaska Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels

  17. Gross Input to Atmospheric Crude Oil Distillation Units

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

    Day) Process: Gross Input to Atmospheric Crude Oil Dist. Units Operable Capacity (Calendar Day) Operating Capacity Idle Operable Capacity Operable Utilization Rate Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Process Area Jan-16 Feb-16 Mar-16 Apr-16 May-16 Jun-16 View History U.S. 16,365 16,167 16,261 16,222 16,477 16,803 1985-2016 PADD 1 1,136 1,080 1,052 1,148 1,174 1,155 1985-2016 East

  18. Module: Emission Factors for Deforestation | Open Energy Information

    Open Energy Info (EERE)

    www.leafasia.orgtoolstechnical-guidance-series-emission-factors-defo Cost: Free Language: English Module: Emission Factors for Deforestation Screenshot Logo: Module: Emission...

  19. 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

  20. 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 September 2015 (140.96 KB) 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

  1. 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.

  2. 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.

  3. 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

  4. Cost Estimating, Analysis, and Standardization

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

    1984-11-02

    To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

  5. Hydrogen and Infrastructure Costs

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

    FUEL CELL TECHNOLOGIES PROGRAM Hydrogen and Infrastructure Costs Hydrogen Infrastructure Market Readiness Workshop Washington D.C. February 17, 2011 Fred Joseck U.S. Department of Energy Fuel Cell Technologies Program Fuel Cells: Diverse Fuels and Applications More than $40 million from the 2009 American Recovery and Reinvestment Act to fund 12 projects to deploy up to 1,000 fuel cells Recovery Act Funding for Fuel Cells COMPANY AWARD APPLICATION Delphi Automotive $2.4 M Auxiliary Power FedEx

  6. Geothermal probabilistic cost study

    SciTech Connect (OSTI)

    Orren, L.H.; Ziman, G.M.; Jones, S.C.; Lee, T.K.; Noll, R.; Wilde, L.; Sadanand, V.

    1981-08-01

    A tool is presented to quantify the risks of geothermal projects, the Geothermal Probabilistic Cost Model (GPCM). The GPCM model is used to evaluate a geothermal reservoir for a binary-cycle electric plant at Heber, California. Three institutional aspects of the geothermal risk which can shift the risk among different agents are analyzed. The leasing of geothermal land, contracting between the producer and the user of the geothermal heat, and insurance against faulty performance are examined. (MHR)

  7. Manufacturing Cost Levelization Model – A User’s Guide

    SciTech Connect (OSTI)

    Morrow, William R.; Shehabi, Arman; Smith, Sarah Josephine

    2015-08-01

    The Manufacturing Cost Levelization Model is a cost-performance techno-economic model that estimates total large-scale manufacturing costs for necessary to produce a given product. It is designed to provide production cost estimates for technology researchers to help guide technology research and development towards an eventual cost-effective product. The model presented in this user’s guide is generic and can be tailored to the manufacturing of any product, including the generation of electricity (as a product). This flexibility, however, requires the user to develop the processes and process efficiencies that represents a full-scale manufacturing facility. The generic model is comprised of several modules that estimate variable costs (material, labor, and operating), fixed costs (capital & maintenance), financing structures (debt and equity financing), and tax implications (taxable income after equipment and building depreciation, debt interest payments, and expenses) of a notional manufacturing plant. A cash-flow method is used to estimate a selling price necessary for the manufacturing plant to recover its total cost of production. A levelized unit sales price ($ per unit of product) is determined by dividing the net-present value of the manufacturing plant’s expenses ($) by the net present value of its product output. A user defined production schedule drives the cash-flow method that determines the levelized unit price. In addition, an analyst can increase the levelized unit price to include a gross profit margin to estimate a product sales price. This model allows an analyst to understand the effect that any input variables could have on the cost of manufacturing a product. In addition, the tool is able to perform sensitivity analysis, which can be used to identify the key variables and assumptions that have the greatest influence on the levelized costs. This component is intended to help technology researchers focus their research attention on tasks

  8. Backup Power Cost of Ownership Analysis and Incumbent Technology Comparison

    Office of Energy Efficiency and Renewable Energy (EERE)

    This cost of ownership analysis identifies the factors impacting the value proposition for fuel cell backup power and presents the estimated annualized cost of ownership for fuel cell backup power systems compared with the incumbent technologies of battery and diesel generator systems.

  9. Cost estimating issues in the Russian integrated system planning context

    SciTech Connect (OSTI)

    Allentuck, J.

    1996-03-01

    An important factor in the credibility of an optimal capacity expansion plan is the accuracy of cost estimates given the uncertainty of future economic conditions. This paper examines the problems associated with estimating investment and operating costs in the Russian nuclear power context over the period 1994 to 2010.

  10. Cogeneration of electricity: Cost-effective over long term

    SciTech Connect (OSTI)

    Barger, R.L.; Barham, J. )

    1991-08-01

    This article describes the determination of the cost-effectiveness of a cogeneration project five years after it became operational in 1984. The cogeneration project uses digester sludge gas from a wastewater treatment plant. The topics covered include the history of electrical cogeneration at the site, cogeneration economics in the short term and the long term, and the factors in cost-effectiveness.