Sample records for total ownership cost

  1. An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered...

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

    An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material Handling Equipment An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material Handling...

  2. A Total Cost of Ownership Model for Low Temperature PEM Fuel...

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

    A Total Cost of Ownership Model for Low Temperature PEM Fuel Cells in Combined Heat and Power and Backup Power Applications A Total Cost of Ownership Model for Low Temperature PEM...

  3. An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered...

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

    An Evaluation of the Total Cost of Ownership of Fuel Cell- Powered Material Handling Equipment Todd Ramsden National Renewable Energy Laboratory Technical Report NRELTP-5600-56408...

  4. An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered...

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

    by the National Renewable Energy Laboratory discusses an analysis of the total cost of ownership of fuel cell-powered and traditional battery-powered material handling equipment,...

  5. Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material Handling Equipment

    SciTech Connect (OSTI)

    Ramsden, T.

    2013-04-01T23:59:59.000Z

    This report discusses an analysis of the total cost of ownership of fuel cell-powered and traditional battery-powered material handling equipment (MHE, or more typically 'forklifts'). A number of fuel cell MHE deployments have received funding support from the federal government. Using data from these government co-funded deployments, DOE's National Renewable Energy Laboratory (NREL) has been evaluating the performance of fuel cells in material handling applications. NREL has assessed the total cost of ownership of fuel cell MHE and compared it to the cost of ownership of traditional battery-powered MHE. As part of its cost of ownership assessment, NREL looked at a range of costs associated with MHE operation, including the capital costs of battery and fuel cell systems, the cost of supporting infrastructure, maintenance costs, warehouse space costs, and labor costs. Considering all these costs, NREL found that fuel cell MHE can have a lower overall cost of ownership than comparable battery-powered MHE.

  6. A Total Cost of Ownership Model for Low Temperature PEM Fuel...

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

    LBNL-6772E A Total Cost of Ownership Model for Low Temperature PEM Fuel Cells in Combined Heat and Power and Backup Power Applications Max Wei, Timothy Lipman 1 , Ahmad Mayyas 1 ,...

  7. Sharing the Total Cost of Ownership of Electric Vehicles: A Study on the Application of Game Theory

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Sharing the Total Cost of Ownership of Electric Vehicles: A Study on the Application of Game Theory, illustrated by a practical example in which the system of interest is a commercial electric vehicle in its their position in different markets. Like in other industries, car manufacturers are also affected

  8. A Total Cost of Ownership Model for Low Temperature PEM Fuel Cells in Combined Heat and Power and Backup Power Applications

    SciTech Connect (OSTI)

    University of California, Berkeley; Wei, Max; Lipman, Timothy; Mayyas, Ahmad; Chien, Joshua; Chan, Shuk Han; Gosselin, David; Breunig, Hanna; Stadler, Michael; McKone, Thomas; Beattie, Paul; Chong, Patricia; Colella, Whitney; James, Brian

    2014-06-23T23:59:59.000Z

    A total cost of ownership model is described for low temperature proton exchange membrane stationary fuel cell systems for combined heat and power (CHP) applications from 1-250kW and backup power applications from 1-50kW. System designs and functional specifications for these two applications were developed across the range of system power levels. Bottom-up cost estimates were made for balance of plant costs, and detailed direct cost estimates for key fuel cell stack components were derived using design-for-manufacturing-and-assembly techniques. The development of high throughput, automated processes achieving high yield are projected to reduce the cost for fuel cell stacks to the $300/kW level at an annual production volume of 100 MW. Several promising combinations of building types and geographical location in the U.S. were identified for installation of fuel cell CHP systems based on the LBNL modelling tool DER CAM. Life-cycle modelling and externality assessment were done for hotels and hospitals. Reduced electricity demand charges, heating credits and carbon credits can reduce the effective cost of electricity ($/kWhe) by 26-44percent in locations such as Minneapolis, where high carbon intensity electricity from the grid is displaces by a fuel cell system operating on reformate fuel. This project extends the scope of existing cost studies to include externalities and ancillary financial benefits and thus provides a more comprehensive picture of fuel cell system benefits, consistent with a policy and incentive environment that increasingly values these ancillary benefits. The project provides a critical, new modelling capacity and should aid a broad range of policy makers in assessing the integrated costs and benefits of fuel cell systems versus other distributed generation technologies.

  9. Backup Power Cost of Ownership Analysis and Incumbent Technology...

    Energy Savers [EERE]

    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...

  10. HVAC Modeling for Cost of Ownership Assessment in Biotechnology & Drugs Manufacturing

    E-Print Network [OSTI]

    Broomes, Peter; Dornfeld, David A

    2003-01-01T23:59:59.000Z

    2000 Broomes, Peter. , “HVAC Modeling for Cost of Ownership2000 Broomes, Peter. , “HVAC Results Comparison”, April,HVAC Modeling for Cost of Ownership Assessment in

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

    SciTech Connect (OSTI)

    Kurtz, J.; Saur, G.; Sprik, S.; Ainscough, C.

    2014-09-01T23:59:59.000Z

    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. The analysis compares three different backup power technologies (diesel, battery, and fuel cell) operating in similar circumstances in four run time scenarios (8, 52, 72, and 176 hours).

  12. EUV lithography cost of ownership analysis

    SciTech Connect (OSTI)

    Hawryluk, A.M.; Ceglio, N.M.

    1995-01-19T23:59:59.000Z

    The cost of fabricating state-of-the-art integrated circuits (ICs) has been increasing and it will likely be economic rather than technical factors that ultimately limit the progress of ICs toward smaller devices. It is estimated that lithography currently accounts for approximately one-third the total cost of fabricating modem ICs({sup 1}). It is expected that this factor will be fairly stable for the forseeable future, and as a result, any lithographic process must be cost-effective before it can be considered for production. Additionally, the capital equipment cost for a new fabrication facility is growing at an exponential rate (2); it will soon require a multibillion dollar investment in capital equipment alone to build a manufacturing facility. In this regard, it is vital that any advanced lithography candidate justify itself on the basis of cost effectiveness. EUV lithography is no exception and close attention to issues of wafer fabrication costs have been a hallmark of its early history. To date, two prior cost analyses have been conducted for EUV lithography (formerly called {open_quotes}Soft X-ray Projection Lithography{close_quotes}). The analysis by Ceglio, et. al., provided a preliminary system design, set performance specifications and identified critical technical issues for cost control. A follow-on analysis by Early, et.al., studied the impact of issues such as step time, stepper overhead, tool utilization, escalating photoresist costs and limited reticle usage on wafer exposure costs. This current study provides updated system designs and specifications and their impact on wafer exposure costs. In addition, it takes a first cut at a preliminary schematic of an EUVL fabrication facility along with an estimate of the capital equipment costs for such a facility.

  13. Development of a Method Using BIM Technology to Determine the Utility Bill and Total Cost of Ownership of a Single-family Home

    E-Print Network [OSTI]

    McGarity, Ashley

    2010-07-14T23:59:59.000Z

    they will or will not benefit from BIM. A ROI can be found by using a formula to establish the first year ROI that includes particular variables, such as the proposed systems cost, labor costs, the training time, expected percentage loss, and the percentage expected to gain... and labor. I used the wall areas to compute quantities, and made educated estimates. The RSMeans books were very good sources for all the building elements in both homes. Within the books they broke down the cost of materials and labor and explained...

  14. Ownership Unbuilding in Electricity Markets - A Social Cost Benefit Analysis of the German TSO'S

    E-Print Network [OSTI]

    Brunekreeft, Gert

    system operators in electricity and gas is proposed.2 This paper presents a comprehensive social cost benefit analysis (SCBA) of ownership unbundling of electricity TSOs in Germany. We restrict the analysis to the German case for two reasons; firstly... this seems to be the current focus of the European debate and secondly simply to constrain the calculations and data requirement. The main insights are more general, however, and with due caution, may be carried over to other countries as well. The SCBA...

  15. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    Services & Testing Contract September 2014 Contractor: Contract Number: Contract Type: Advanced Technologies & Labs International Inc. DE-AC27-10RV15051 Cost Plus Award Fee...

  16. Project Functions and Activities Definitions for Total Project Cost

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

    1997-03-28T23:59:59.000Z

    This chapter provides guidelines developed to define the obvious disparity of opinions and practices with regard to what exactly is included in total estimated cost (TEC) and total project cost (TPC).

  17. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    Office - Oak Ridge, TN Contract Name: Transuranic Waste Processing Contract Sep-14 2,433,940 Cost Plus Award Fee 150,664,017 Fee Information Minimum Fee 2,039,246 Maximum Fee...

  18. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    LLC (UCOR) DE-SC-0004645 April 29, 2011 - July 13, 2016 Contract Number: Maximum Fee Cost Plus Award Fee 1,640,839,964 Fee Information Minimum Fee 0 EM Contractor Fee Site:...

  19. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    FY2011 FY2012 Fee Information Minimum Fee Maximum Fee September 2014 Contract Number: Cost Plus Incentive Fee Contractor: 3,260,603,765 Contract Period: EM Contractor Fee Site:...

  20. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    Wastren-EnergX Mission Support LLC Contract Number: DE-CI0000004 Contract Type: Cost Plus Award Fee 128,879,762 Contract Period: December 2009 - July 2015 Fee Information...

  1. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    - September 2015 September 2014 Contractor: Contract Number: Contract Type: Idaho Treatment Group LLC DE-EM0001467 Cost Plus Award Fee Fee Information 444,161,295 Contract Period:...

  2. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    Cumulative Fee Paid 22,200,285 Wackenhut Services, Inc. DE-AC30-10CC60025 Contractor: Cost Plus Award Fee 989,000,000 Contract Period: Contract Type: January 2010 - December...

  3. Total Estimated Contract Cost:) Performance Period Total Fee...

    Office of Environmental Management (EM)

    Washington Closure LLC DE-AC06-05RL14655 Contractor: Contract Number: Contract Type: Cost Plus Incentive Fee 2,366,753,325 Fee Information 0 Maximum Fee 319,511,699...

  4. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    Number: Contract Type: Contract Period: 0 Minimum Fee Maximum Fee Washington River Protection Solutions LLC DE-AC27-08RV14800 Cost Plus Award Fee 5,553,789,617 Fee Information...

  5. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    & Wilcox Conversion Services, LLC Contract Number: DE-AC30-11CC40015 Contract Type: Cost Plus Award Fee Fee Available 4,324,912 408,822,369 Contract Period: December 2010 -...

  6. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    0 Contractor: Bechtel National Inc. Contract Number: DE-AC27-01RV14136 Contract Type: Cost Plus Award Fee Maximum Fee* 595,123,540 Fee Available 102,622,325 10,714,819,974...

  7. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    Fee Paid 127,390,991 Contract Number: Fee Available Contract Period: Contract Type: Cost Plus Award Fee 4,104,318,749 28,500,000 31,597,837 0 39,171,018 32,871,600 EM...

  8. Use Patterns of LED Flashlights in Kenya and a One-Year Cost Analysis of Flashlight Ownership

    SciTech Connect (OSTI)

    Tracy, Jennifer; Jacobson, Arne; Mills, Evan

    2010-02-16T23:59:59.000Z

    Flashlight usage is widespread across much of sub-Saharan Africa.1 In Kenya in particular, over half of all households report owning a flashlight (Kamfor, 2002). Aside from household use, flashlights are also widely used to perform income-earning jobs in Kenya. Lumina Research Note No.4, the first report in this series documenting flashlight use in Kenya, highlights flashlight use patterns of night watchmen and bicycle taxi drivers. Both of these are occupations that rely on the use of flashlights on a nightly basis (Tracy et al., 2009). Also highlighted by Research Note No.4, flashlight users in Kenya have reported being highly dissatisfied with the quality of the low-cost LED flashlights that are available, and they identify several reoccurring problems they have faced as flashlight end-users (Tracy et al., 2009). The fact that there exists a substantial dependency upon flashlights in Kenya and that users are disgruntled with the available products suggests reasons for concern about flashlight quality. This concern is present despite two recent technological transitions in the flashlight market. First, LED technology has quickly emerged as the dominant source of portable lighting in Kenya, outpacing incandescent flashlights (Johnstone et al., 2009). LED technology has the potential to provide efficiency and performance benefits relative to incandescent bulbs, and low-cost LEDs have achieved price levels that make them cost competitive with conventional lighting sources for a number of applications (Mills, 2005). Second, rechargeable sealed-lead acid (SLA) batteries are also becoming more prevalent alternatives to disposable dry cell batteries. Flashlights using rechargeable SLA batteries tend to have a lower total cost of ownership over a two-year period than a flashlight using dry cell batteries (Radecsky, 2009); however, as this current report highlights, this may vary depending on the intensity of use patterns. To avoid a potential market spoiling effect for off-grid lighting products based on LED technology (Mills and Jacobson, 2008; Lighting Africa, 2007) a better understanding of flashlight use-patterns is crucial (Tracy et al., 2009). In addition, the economic implications faced by rural flashlight end-users provide further incentive for a move toward higher quality low-cost flashlights. In this report, our team uses interviews with 46 end users of flashlights to collect information about their use patterns and costs associated with owning and operating flashlight products. While flashlights used in their portable mode typically do not represent a substitute for kerosene or other forms of fuel-based lighting, at times they are used in stationary applications in place of a fuel-based lamp. In either case, these products often represent end users first exposure to LED technology and rechargeable dry cell batteries, and thus stand to either provide a positive or negative impression of these technologies for a diversity of lighting applications.

  9. Developing a total replacement cost index for suburban office projects

    E-Print Network [OSTI]

    Hansen, David John, S.M. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    Understanding the components of replacement costs for office developments, and how these components combine to create total development costs is essential for success in office real estate development. Surprisingly, the ...

  10. Understanding the Total Costs of Commercial Fishing in the Northeast

    E-Print Network [OSTI]

    to be done? · 2014-2015: Analyze data collected over the past two years. -cost survey (2 years) -socio Payment/Lay Systems #12;What does the annual cost data get us? · The ability to communicate to decision1 Understanding the Total Costs of Commercial Fishing in the Northeast NEFSC Social Sciences Branch

  11. A brief study into the impact University of Bath has had on CO2 emissions and the cost of ownership of passenger cars.

    E-Print Network [OSTI]

    Burton, Geoffrey R.

    A brief study into the impact University of Bath has had on CO2 emissions and the cost of ownership. As legislators and customers focus their attention ever more on improving fuel economy and CO2 emissions and new oil reduced CO2 emissions by approximately 40,000 tonnes in 2012 based on 30,000 km per annum

  12. A Total Cost of Ownership Model for Low Temperature PEM Fuel...

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

    applications in stationary fuel cell systems. The analysis considers low temperature proton exchange membrane systems for use in combined heat and power applications from 1 to...

  13. An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1Albuquerque, NMPerformance | Department ofEnergyAn

  14. A Total Cost of Ownership Model for Low Temperature PEM Fuel Cells in

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 A Strategic Framework for SMR DeploymentCommunities (Fact

  15. Farmland Ownership

    E-Print Network [OSTI]

    Kastens, Terry L.; Dhuyvetter, Kevin C.; Falconer, Lawrence

    1999-09-25T23:59:59.000Z

    Farmland Ownership Terry L. Kastens, Kevin C. Dhuyvetter and Larry L. Falconer* Purchasing land can be a difficult and emotional process for agricultural pro- ducers. Many economic questions arise: Can land ever pay for itself? How much can I pay...

  16. Cost of Ownership and Well-to-Wheels Carbon Emissions/Oil Use of Alternative Fuels and Advanced Light-Duty Vehicle Technologies

    SciTech Connect (OSTI)

    Elgowainy, Mr. Amgad [Argonne National Laboratory (ANL); Rousseau, Mr. Aymeric [Argonne National Laboratory (ANL); Wang, Mr. Michael [Argonne National Laboratory (ANL); Ruth, Mr. Mark [National Renewable Energy Laboratory (NREL); Andress, Mr. David [David Andress & Associates, Inc.; Ward, Jacob [U.S. Department of Energy; Joseck, Fred [U.S. Department of Energy; Nguyen, Tien [U.S. Department of Energy; Das, Sujit [ORNL

    2013-01-01T23:59:59.000Z

    The U.S. Department of Energy (DOE), Argonne National Laboratory (Argonne), and the National Renewable Energy Laboratory (NREL) updated their analysis of the well-to-wheels (WTW) greenhouse gases (GHG) emissions, petroleum use, and the cost of ownership (excluding insurance, maintenance, and miscellaneous fees) of vehicle technologies that have the potential to significantly reduce GHG emissions and petroleum consumption. The analyses focused on advanced light-duty vehicle (LDV) technologies such as plug-in hybrid, battery electric, and fuel cell electric vehicles. Besides gasoline and diesel, alternative fuels considered include natural gas, advanced biofuels, electricity, and hydrogen. The Argonne Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) and Autonomie models were used along with the Argonne and NREL H2A models.

  17. A cost/benefit model for insertion of technological innovation into a total quality management program 

    E-Print Network [OSTI]

    Ratliff, William L

    1997-01-01T23:59:59.000Z

    justify quality improvement. The results of this study provide process-level engineers with a cost/benefit model template, which can be used to cost justify technological improvement based upon total quality costs....

  18. Development of a total landed cost and risk analysis model for global strategic sourcing

    E-Print Network [OSTI]

    Feller, Brian (Brian C.)

    2008-01-01T23:59:59.000Z

    Total landed cost and supply chain risk analysis are methods that many companies use to assess strategic sourcing decisions. For this project, landed cost is defined as those costs associated with material movement from a ...

  19. A Study of the Key Variables Affecting Bus Replacement Age Decisions and1 Total Costs2

    E-Print Network [OSTI]

    Bertini, Robert L.

    A Study of the Key Variables Affecting Bus Replacement Age Decisions and1 Total Costs2 3 Jesse operational3 and maintenance (O&M) per-mile costs increase as buses age. From a purely economic4 perspective, there is a cost tradeoff between the lower O&M costs of newer fleets and their5 higher initial capital costs

  20. Characterizing opportunities for short reach optical interconnect adoption : a market survey and total cost of ownership model approach

    E-Print Network [OSTI]

    Lindsey, Johnathan Jake, III

    2010-01-01T23:59:59.000Z

    Over the past decade, the demand for digital information has increased dramatically with the rising use of the Internet and various types of multimedia data - text, audio, graphics, video, and voice. As a consequence, the ...

  1. U.S. Total Refiner Acquisition Cost of Crude Oil

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009Feet) Decade2009 2010

  2. Electrochromic Windows: Process and Fabrication Improvements for Lower Total Costs

    SciTech Connect (OSTI)

    Mark Burdis; Neil Sbar

    2007-03-31T23:59:59.000Z

    The overall goal with respect to the U.S. Department of Energy (DOE) is to achieve significant national energy savings through maximized penetration of EC windows into existing markets so that the largest cumulative energy reduction can be realized. The speed with which EC windows can be introduced and replace current IGU's (and current glazings) is clearly a strong function of cost. Therefore, the aim of this project was to investigate possible improvements to the SageGlass{reg_sign} EC glazing products to facilitate both process and fabrication improvements resulting in lower overall costs. The project was split into four major areas dealing with improvements to the electrochromic layer, the capping layer, defect elimination and general product improvements. Significant advancements have been made in each of the four areas. These can be summarized as follows: (1) Plasma assisted deposition for the electrochromic layer was pursued, and several improvements made to the technology for producing a plasma beam were made. Functional EC devices were produced using the new technology, but there are still questions to be answered regarding the intrinsic properties of the electrochromic films produced by this method. (2) The capping layer work was successfully implemented into the existing SageGlass{reg_sign} product, thereby providing a higher level of transparency and somewhat lower reflectivity than the 'standard' product. (3) Defect elimination is an ongoing effort, but this project spurred some major defect reduction programs, which led to significant improvements in yield, with all the implicit benefits afforded. In particular, major advances were made in the development of a new bus bar application process aimed at reducing the numbers of 'shorts' developed in the finished product, as well as making dramatic improvements in the methods used for tempering the glass, which had previously been seen to produce a defect which appeared as a pinhole. (4) Improvements have also been made to the overall product to enhance the appearance and market acceptability. These include: (i) increasing the active electrochromic area to enable window manufacturers to install the SageGlass{reg_sign} IGU's into a variety of different framing systems, (ii) implementing a Pb free solder system for the electrical interconnections, (iii) development of a wire routing scheme to allow installation of SageGlass{reg_sign} units into a variety of different framing systems. This project has advanced the development of electrochromic glazing significantly, thereby advancing the introduction of the product and all the benefits of such a technology.

  3. Analysis of the total system life cycle cost for the Civilian Radioactive Waste Management Program

    SciTech Connect (OSTI)

    NONE

    1989-05-01T23:59:59.000Z

    The total-system life-cycle cost (TSLCC) analysis for the Department of Energy`s (DOE) Civilian Radioactive Waste Management Program is an ongoing activity that helps determine whether the revenue-producing mechanism established by the Nuclear Waste Policy Act of 1982 -- a fee levied on electricity generated in commercial nuclear power plants -- is sufficient to cover the cost of the program. This report provides cost estimates for the sixth annual evaluation of the adequacy of the fee and is consistent with the program strategy and plans contained in the DOE`s Draft 1988 Mission Plan Amendment. The total-system cost for the system with a repository at Yucca Mountain, Nevada, a facility for monitored retrievable storage (MRS), and a transportation system is estimated at $24 billion (expressed in constant 1988 dollars). In the event that a second repository is required and is authorized by the Congress, the total-system cost is estimated at $31 to $33 billion, depending on the quantity of spent fuel to be disposed of. The $7 billion cost savings for the single-repository system in comparison with the two-repository system is due to the elimination of $3 billion for second-repository development and $7 billion for the second-repository facility. These savings are offset by $2 billion in additional costs at the first repository and $1 billion in combined higher costs for the MRS facility and transportation. 55 refs., 2 figs., 24 tabs.

  4. Reducing the Environmental Footprint and Economic Costs of Automotive Manufacturing through an Alternative Energy Supply

    E-Print Network [OSTI]

    Yuan, Chris; Dornfeld, David

    2009-01-01T23:59:59.000Z

    technologies. The ownership cost of wind, before incentives,other hand, wind electricity, with an ownership cost of 6.9to wind electricity, about 60% of the ownership cost is

  5. Total Cost Per MwH for all common large scale power generation...

    Open Energy Info (EERE)

    power generation soruces ? I am talking about the cost of mountain top removal for coal mined that way, the trip to the power plant, the sludge pond or ash heap, the cost of...

  6. A cost/benefit model for insertion of technological innovation into a total quality management program

    E-Print Network [OSTI]

    Ratliff, William L

    1997-01-01T23:59:59.000Z

    for measuring quality improvement is the cost of quality. Traditionally, comprehensive quality cost reports have regularly been issued in a fixed format to identify opportunities for improvement and provide guidelines for improvement over time. However, current...

  7. The cost-effectiveness of computer-assisted navigation in total knee arthroplasty

    E-Print Network [OSTI]

    Novak, Erik J.; Silverstein, Marc D.; Bozic, Kevin J.

    2007-01-01T23:59:59.000Z

    of positioning of prosthesis in total knee re- placement. JThe Genesis total knee prosthesis: a 10-year followup study.C. Unicompartmental knee prosthesis implantation with a non-

  8. Preliminary estimates of the total-system cost for the restructured program: An addendum to the May 1989 analysis of the total-system life cycle cost for the Civilian Radioactive Waste Management Program

    SciTech Connect (OSTI)

    NONE

    1990-12-01T23:59:59.000Z

    The total-system life-cycle cost (TSLCC) analysis for the Department of Energy`s (DOE) Civilian Radioactive Waste Management Program is an ongoing activity that helps determine whether the revenue-producing mechanism established by the Nuclear Waste Policy Act of 1982 - a fee levied on electricity generated and sold by commercial nuclear power plants - is sufficient to cover the cost of the program. This report provides cost estimates for the sixth annual evaluation of the adequacy of the fee. The costs contained in this report represent a preliminary analysis of the cost impacts associated with the Secretary of Energy`s Report to Congress on Reassessment of the Civilian Radioactive Waste Management Program issued in November 1989. The major elements of the restructured program announced in this report which pertain to the program`s life-cycle costs are: a prioritization of the scientific investigations program at the Yucca Mountain candidate site to focus on identification of potentially adverse conditions, a delay in the start of repository operations until 2010, the start of limited waste acceptance at the monitored retrievable storage (MRS) facility in 1998, and the start of waste acceptance at the full-capability MRS facility in 2,000. Based on the restructured program, the total-system cost for the system with a repository at the candidate site at Yucca Mountain in Nevada, a facility for monitored retrievable storage (MRS), and a transportation system is estimated at $26 billion (expressed in constant 1988 dollars). In the event that a second repository is required and is authorized by the Congress, the total-system cost is estimated at $34 to $35 billion, depending on the quantity of spent fuel and high-level waste (HLW) requiring disposal. 17 figs., 17 tabs.

  9. Reducing the Environmental Footprint and Economic Costs of Automotive Manufacturing through an Alternative Energy Supply

    E-Print Network [OSTI]

    Yuan, Chris; Dornfeld, David

    2009-01-01T23:59:59.000Z

    patterns. The ownership costs of fuel cells fall in between.reduce the ownership cost of the fuel cell technologies byalternative options. Fuel cells cost the most, between $500~

  10. Total cost analysis of process time reduction as a green machining strategy

    E-Print Network [OSTI]

    Helu, Moneer; Behmann, Benjamin; Meier, Harald; Dornfeld, David; Lanza, Gisela; Schulze, Volker

    2012-01-01T23:59:59.000Z

    on the use of life cycle assessment (LCA) to quantifyLife Cycle Cost Analysis and LCA, in: International Journal of Life Cycle Assessment,

  11. Using a total landed cost model to foster global logistics strategy in the electronics industry

    E-Print Network [OSTI]

    Jearasatit, Apichart

    2010-01-01T23:59:59.000Z

    Global operation strategies have been widely used in the last several decades as many companies and industries have taken advantage of lower production costs. However, in choosing a location, companies often only consider ...

  12. Total Cost Per MwH for all common large scale power generation sources |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin Baxin Hydropower Station JumpOpenEI Community Cost Per MwH for

  13. Reducing the Environmental Footprint and Economic Costs of Automotive Manufacturing through an Alternative Energy Supply

    E-Print Network [OSTI]

    Yuan, Chris; Dornfeld, David

    2009-01-01T23:59:59.000Z

    Footprint, Alternative Energy, Cost of Ownership ABSTRACTmanufacturing is to use alternative energies to partiallyassesses three alternative energy technologies, including

  14. Ownership and Health Care

    E-Print Network [OSTI]

    Nighohossian, Jeremy

    2013-05-01T23:59:59.000Z

    nalized set. CMS also provides estimates for the case mix indices for the nation?s hospitals on an annual basis. However, the hospitals that submit cost reports to the CMS do not all receive a CMI gure. Of the hospital records included, CMS did... not report CMI?s for 2270 of them. Additionally, many hospitals were missing other data from the cost reports. To 16 address this issue, all missing data were lled in with zeros with the addition of a dummy indicating whether the data were missing...

  15. Reducing the Environmental Footprint and Economic Costs of Automotive Manufacturing through an Alternative Energy Supply

    E-Print Network [OSTI]

    Yuan, Chris; Dornfeld, David

    2009-01-01T23:59:59.000Z

    cost of ownership and environmental savings analyses: solarownership cost. ENVIRONMENTAL SAVINGS ANALYSIS Solar, wind,consumption. The environmental savings from solar PV falls

  16. Reducing the Environmental Footprint and Economic Costs of Automotive Manufacturing through an Alternative Energy Supply

    E-Print Network [OSTI]

    Yuan, Chris; Dornfeld, David

    2009-01-01T23:59:59.000Z

    cost of ownership and environmental savings analyses: solar photovoltaic, wind, andcost. ENVIRONMENTAL SAVINGS ANALYSIS Solar, wind, and fuelcost of ownership and environmental saving analyses here favor the use of wind

  17. Hay Harvesting Costs $$$$$ in Texas.

    E-Print Network [OSTI]

    Long, James T.; Taylor, Wayne D.

    1972-01-01T23:59:59.000Z

    Hay is an important crop in Ta 1 Harvesting costs constitute the major5 pense of hay production in many M Mg and Wayne D . Taylor INTRODUCTION .................................................... 2 Fixed Costs or Ownership Costs... ............................................. 10 Totarl Cost .............................................................. 10 HAY HARVESTING ALTERNATIVES COMPARED ...................... 11 HOW TO MAKE WISE DECISIONS CONCERNING INVESTMENTS IN MACHINERY...

  18. Directory of coal production ownership, 1979

    SciTech Connect (OSTI)

    Thompson, B.

    1981-10-01T23:59:59.000Z

    Ownership patterns in the coal industry are highly complex. Many producers are diversified into other lines of activity. The pattern and extent of this diversification has varied through time. In the past, steel and nonferrous metals companies had major coal industry involvement. This is still true today. However, other types of enterprises have entered the industry de novo or through merger. Those of greatest significance in recent times have involved petroleum and particularly public utility companies. This report attempts to identify, as accurately as possible, production ownership patterns in the coal industry. The audience for this Directory is anyone who is interested in accurately tracing the ownership of coal companies to parent companies, or who is concerned about the structure of ownership in the US coal industry. This audience includes coal industry specialists, coal industry policy analysts, economists, financial analysts, and members of the investment community.

  19. New Models of Public Ownership in Energy

    E-Print Network [OSTI]

    Haney, Aoife Brophy; Pollitt, Michael G.

    These included rural electric cooperatives in the US or customer owned utilities in Denmark. Nowadays, as we shall demonstrate, public involvement in ownership (in the sense of residual control rights, following Hart and Moore, 1990) takes many different... history of public ownership of the power sector in many countries was driven by the perceived inability of the private market to finance the large investment requirements of the sector during the electrification period (Millward, 2010). Third...

  20. Hydrogen refueling station costs in Shanghai

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Shaojun, Liu; Ogden, Joan M; Jianxin, Ma

    2007-01-01T23:59:59.000Z

    Elec Del Cali: Del Investment Cost Delivery Cost OperatingCost Feedstock Cost Investment Cost Delivery Cost Operatingcosts Annualized investment cost, 1000$/yr Total annualized

  1. Reducing the Environmental Footprint and Economic Costs of Automotive Manufacturing through an Alternative Energy Supply

    E-Print Network [OSTI]

    Yuan, Chris; Dornfeld, David

    2009-01-01T23:59:59.000Z

    MANUFACTURING THROUGH AN ALTERNATIVE ENERGY SUPPLY Chris Y.Footprint, Alternative Energy, Cost of Ownership ABSTRACTmanufacturing is to use alternative energies to partially

  2. Estimation of cost synergies from mergers without cost data: Application to U.S. radio

    E-Print Network [OSTI]

    Niebur, Ernst

    Estimation of cost synergies from mergers without cost data: Application to U.S. radio Przemyslaw without using actual data on cost. The estimator uses a structural model in which companies play a dynamic for cost data. It turns out that between 1996 and 2006 additional ownership concentration generated $2.5b

  3. Hydrogen Refueling Station Costs in Shanghai

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Shaojun, Liu; Ogden, J; Jianxin, Ma

    2006-01-01T23:59:59.000Z

    Costs Annualized Investment Cost, 1000$/yr Total AnnualizedH2 Fueling Stations Investment Cost Cost ($/yr) OperatingH2 Fueling Stations Investment Cost Cost ($/kg) Operating

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureComments fromof EnergyBILIWG:Background: Today's SolyndraBackup

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureComments fromof EnergyBILIWG:Background: Today's SolyndraBackup|

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform is alwaysISOSource1-01 AuditRevised: January 2005BY 2011 DOE|

  7. The Arguments For and Against Ownership Unbundling of Energy Transmission Networks

    E-Print Network [OSTI]

    Pollitt, Michael G.

    even be greater than in electricity (given the more concentrated starting point) and the transaction costs of separation might less given the less complicated nature of vertical economies between stages of production in gas relative to electricity... ), Sweden (from 2004 for one of two companies), and Netherlands (from 2005) had ownership unbundled gas transmission along the ITSO model (see Gomez-Acebo and Pombo Abogados SL et al, 2005). The UK has been a successful model with degrees of residential...

  8. Technology commercialization cost model and component case study. Final report

    SciTech Connect (OSTI)

    Not Available

    1991-12-01T23:59:59.000Z

    Fuel cells seem poised to emerge as a clean, efficient, and cost competitive source of fossil fuel based electric power and thermal energy. Sponsors of fuel cell technology development need to determine the validity and the attractiveness of a technology to the market in terms of meeting requirements and providing value which exceeds the total cost of ownership. Sponsors of fuel cell development have addressed this issue by requiring the developers to prepare projections of the future production cost of their fuel cells in commercial quantities. These projected costs, together with performance and life projections, provide a preliminary measure of the total value and cost of the product to the customer. Booz-Allen & Hamilton Inc. and Michael A. Cobb & Company have been retained in several assignments over the years to audit these cost projections. The audits have gone well beyond a simple review of the numbers. They have probed the underlying technical and financial assumptions, the sources of data on material and equipment costs, and explored issues such as the realistic manufacturing yields which can be expected in various processes. Based on the experience gained from these audits, the DOE gave Booz-Allen and Michael A. Cobb & company the task to develop a criteria to be used in the execution of future fuel cell manufacturing cost studies. It was thought that such a criteria would make it easier to execute such studies in the future as well as to cause such studies to be more understandable and comparable.

  9. Technology commercialization cost model and component case study

    SciTech Connect (OSTI)

    Not Available

    1991-12-01T23:59:59.000Z

    Fuel cells seem poised to emerge as a clean, efficient, and cost competitive source of fossil fuel based electric power and thermal energy. Sponsors of fuel cell technology development need to determine the validity and the attractiveness of a technology to the market in terms of meeting requirements and providing value which exceeds the total cost of ownership. Sponsors of fuel cell development have addressed this issue by requiring the developers to prepare projections of the future production cost of their fuel cells in commercial quantities. These projected costs, together with performance and life projections, provide a preliminary measure of the total value and cost of the product to the customer. Booz-Allen Hamilton Inc. and Michael A. Cobb Company have been retained in several assignments over the years to audit these cost projections. The audits have gone well beyond a simple review of the numbers. They have probed the underlying technical and financial assumptions, the sources of data on material and equipment costs, and explored issues such as the realistic manufacturing yields which can be expected in various processes. Based on the experience gained from these audits, the DOE gave Booz-Allen and Michael A. Cobb company the task to develop a criteria to be used in the execution of future fuel cell manufacturing cost studies. It was thought that such a criteria would make it easier to execute such studies in the future as well as to cause such studies to be more understandable and comparable.

  10. Hemophilia A Pseudoaneurysm in a Patient with High Responding Inhibitors Complicating Total Knee Arthroplasty: Embolization: A Cost-Reducing Alternative to Medical Therapy

    SciTech Connect (OSTI)

    Kickuth, Ralph, E-mail: ralph.kickuth@insel.ch; Anderson, Suzanne [Inselspital, University of Berne, Institute of Diagnostic, Interventional and Pediatric Radiology (Switzerland); Peter-Salonen, Kristiina; Laemmle, Bernhard [Inselspital, University of Berne, Department of Hematology (Switzerland); Eggli, Stefan [Inselspital, University of Berne, Department of Orthopedic Surgery (Switzerland); Triller, Juergen [Inselspital, University of Berne, Institute of Diagnostic, Interventional and Pediatric Radiology (Switzerland)

    2006-12-15T23:59:59.000Z

    Joint hemorrhages are very common in patients with severe hemophilia. Inhibitors in patients with hemophilia are allo-antibodies that neutralize the activity of the clotting factor. After total knee replacement, rare intra-articular bleeding complications might occur that do not respond to clotting factor replacement. We report a 40-year-old male with severe hemophilia A and high responding inhibitors presenting with recurrent knee joint hemorrhage after bilateral knee prosthetic surgery despite adequate clotting factor treatment. There were two episodes of marked postoperative hemarthrosis requiring extensive use of subsititution therapy. Eleven days postoperatively, there was further hemorrhage into the right knee. Digital subtraction angiography diagnosed a complicating pseudoaneurysm of the inferior lateral geniculate artery and embolization was successfully performed. Because clotting factor replacement therapy has proved to be excessively expensive and prolonged, especially in patients with inhibitors, we recommend the use of cost-effective early angiographic embolization.

  11. Foreign Ownership, Control, or Influence Program

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

    1993-06-14T23:59:59.000Z

    To establish the policies, responsibilities, and authorities for implementing the Department of Energy (DOE) Foreign Ownership, Control, or Influence (FOCI) program, which is designed to obtain information that indicates whether DOE offerors/bidders or contractors/subcontractors are owned, controlled, or influenced by foreign individuals, governments, or organizations, and whether that foreign involvement may pose an undue risk to the common defense and security. This directive does not cancel another directive. Canceled by DOE O 470.1 of 9-28-1995.

  12. Pyramidal Ownership in Ecuadorian Business Groups

    E-Print Network [OSTI]

    Granda Kuffo, Maria L.

    2010-01-16T23:59:59.000Z

    OF PHILOSOPHY Approved by: Chair of Committee, Steven Wiggins Committee Members, Li Gan Steven Puller Laszlo Tihanyi Head of Department, Larry Oliver May 2009 Major Subject: Economics iii ABSTRACT Pyramidal Ownership in Ecuadorian Business Groups. (May 2009) Mar... as an economist but also, and mostly, in my formation as a person. I also recognize the helpful advice of all the members of my committee, Prof. Li Gan, Prof. Steve Puller and Prof. Laszlo Tihanyi. I appreciate the continuous support and trust of my sponsors...

  13. Instant Personalization and Temporary Ownership of Handheld Devices Jurgen Bohn

    E-Print Network [OSTI]

    Instant Personalization and Temporary Ownership of Handheld Devices J¨urgen Bohn Institute a system for instant personalization and temporary ownership of mobile devices that addresses these issues of use, mobile user devices enable convenient ubiqui- tous access to personal user data in situations

  14. Battery Ownership Model: A Tool for Evaluating the Economics of Electrified Vehicles and Related Infrastructure (Presentation)

    SciTech Connect (OSTI)

    O'Keefe, M.; Brooker, A.; Johnson, C.; Mendelsohn, M.; Neubauer, J.; Pesaran, A.

    2010-11-01T23:59:59.000Z

    This presentation uses a vehicle simulator and economics model called the Battery Ownership Model to examine the levelized cost per mile of conventional (CV) and hybrid electric vehicles (HEVs) in comparison with the cost to operate an electric vehicle (EV) under a service provider business model. The service provider is assumed to provide EV infrastructure such as charge points and swap stations to allow an EV with a 100-mile range to operate with driving profiles equivalent to CVs and HEVs. Battery cost, fuel price forecast, battery life, and other variables are examined to determine under what scenarios the levelized cost of an EV with a service provider can approach that of a CV. Scenarios in both the United States as an average and Hawaii are examined. The levelized cost of operating an EV with a service provider under average U.S. conditions is approximately twice the cost of operating a small CV. If battery cost and life can be improved, in this study the cost of an EV drops to under 1.5 times the cost of a CV for U.S. average conditions. In Hawaii, the same EV is only slightly more expensive to operate than a CV.

  15. Micro-home ownership in a mega-metropolis

    E-Print Network [OSTI]

    MacCarroll, Christian D. (Christian David)

    2005-01-01T23:59:59.000Z

    As a means to keep pace with today's globally networked society, the home is reconceived as a portable, transformable device that adapts and reconfigures itself to coexist within a range of changing terrains. Ownership ...

  16. automobile ownership: Topics by E-print Network

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

    (number of cars per adult) and car use (annual mileage Paris-Sud XI, Universit de 5 HYBRID ELECTRIC VEHICLE OWNERSHIP AND FUEL ECONOMY ACROSS TEXAS: AN APPLICATION OF SPATIAL...

  17. Headquarters Security Operations Foreign Ownership Control or Influence Program

    Broader source: Energy.gov [DOE]

    The Headquarters Foreign Ownership Control or Influence (FOCI) Program is established by DOE Order to evaluate the foreign involvement of a company being considered for award of a contract that...

  18. Universal Ownership: Why Environmental Externalities Matter to...

    Open Energy Info (EERE)

    study assesses the financial implications of unsustainable natural resource use and pollution by business. Trucost calculated the cost of global environmental damage for seven...

  19. Financing end-use solar technologies in a restructured electricity industry: Comparing the cost of public policies

    SciTech Connect (OSTI)

    Jones, E.; Eto, J.

    1997-09-01T23:59:59.000Z

    Renewable energy technologies are capital intensive. Successful public policies for promoting renewable energy must address the significant resources needed to finance them. Public policies to support financing for renewable energy technologies must pay special attention to interactions with federal, state, and local taxes. These interactions are important because they can dramatically increase or decrease the effectiveness of a policy, and they determine the total cost of a policy to society as a whole. This report describes a comparative analysis of the cost of public policies to support financing for two end-use solar technologies: residential solar domestic hot water heating (SDHW) and residential rooftop photovoltaic (PV) systems. The analysis focuses on the cost of the technologies under five different ownership and financing scenarios. Four scenarios involve leasing the technologies to homeowners in return for a payment that is determined by the financing requirements of each form of ownership. For each scenario, the authors examine nine public policies that might be used to lower the cost of these technologies: investment tax credits (federal and state), production tax credits (federal and state), production incentives, low-interest loans, grants (taxable and two types of nontaxable), direct customer payments, property and sales tax reductions, and accelerated depreciation.

  20.  Underfloor air distribution (UFAD) cost study: analysis of first cost tradeoffs in UFAD systems

    E-Print Network [OSTI]

    Webster, Tom; Benedek, Corinne; Bauman, Fred

    2006-01-01T23:59:59.000Z

    Thermal Quality: Total HVAC Cost Trend Table 5. Wall Thermal20. Climate: Total HVAC Cost Trend HVAC Category Cost ($/the total perimeter HVAC cost trend for increased density of

  1. Cutting-Edge Savannah River Site Project Avoids Millions in Costs, Removes Chemical Solvents from Underground: Project avoided costs totaling more than $15 million, removed tons of chemical solvents from beneath the Savannah River Site

    Broader source: Energy.gov [DOE]

    AIKEN, S.C. – Workers recently completed a multiyear project that removed more than 33,000 gallons of non-radioactive chemical solvents from beneath a portion of the Savannah River Site (SRS), preventing those pollutants from entering the local water table and helping the site avoid costs of more than $15 million.

  2. Market Risks and Oilfield Ownership - Refining SEC Oil and Gas Disclosures 

    E-Print Network [OSTI]

    Kretzschmar, Gavin Lee; Hatherly, David; Misund, Bard

    2006-01-01T23:59:59.000Z

    ownership, concession and production sharing contracts (PSCs). SEC present value disclosures for both forms of ownership are shown to be significantly more responsive to oil prices than stock return sensitivities noted by Rajgopal (1999). Importantly, we...

  3. The relationship between ownership fragmentation and landscape structure in Bastrop County, Texas 

    E-Print Network [OSTI]

    Engle, Jason Allen

    2002-01-01T23:59:59.000Z

    Few formalized studies have documented the relationships between land ownership fragmentation and landscape structure. The increasing demand for rural land, especially near urban areas, is causing ownership fragmentation. Several parts of Texas...

  4. To own or not to own: How ownership impacts user innovation–An empirical study

    E-Print Network [OSTI]

    Tietze, Frank; Pieper, Thorsten; Herstatt, Cornelius

    2014-12-11T23:59:59.000Z

    , the producing firms continue to possess ownership along the product lifecycle while users exercise control when using products. In order to contribute to a better understanding of user innovation behavior, we question whether the separation of ownership... in which users purchase products and, thus, both own and control the acquired good. However, users also use products that they do not own, in which case ownership and control are separated. Property rights theory predicts that the separation of ownership...

  5. My body in the brain: a neurocognitive model of body-ownership

    E-Print Network [OSTI]

    Sheldon, Nathan D.

    in the brain: a neurocognitive model of body- ownership. Neuropsychologia, 48(3):703-12. #12;Abstract EmpiricalMy body in the brain: a neurocognitive model of body-ownership Manos Tsakiris Department the experience of body-ownership. This review puts forward a neurocognitive model according to which body

  6. CSEM WP 140 Ownership Change, Incentives and Plant Efficiency

    E-Print Network [OSTI]

    Kammen, Daniel M.

    CSEM WP 140 Ownership Change, Incentives and Plant Efficiency: The Divestiture of U.S. Electric and Plant Efficiency: The Divestiture of U.S. Electric Generation Plants James B. Bushnell and Catherine efficiency from the Environmental Protection Agency's Continuous Emissions Monitoring System (CEMS

  7. Ownership and Hospital Productivity Brigitte Dormont* et Carine Milcent**

    E-Print Network [OSTI]

    Ownership and Hospital Productivity Brigitte Dormont* et Carine Milcent** 1 July, 12, 2012 Abstract quality. This paper proposes an analysis of the differences in productivity and efficiency between French between these two sectors. The purpose of this paper is to compare the productivity of public and private

  8. Community wind power ownership schemes in Europe and their relevance to the United States

    SciTech Connect (OSTI)

    Bolinger, Mark

    2001-05-15T23:59:59.000Z

    With varying success, the United States and Europe have followed a more or less parallel path of policies to support wind development over the past twenty years. Feed-in laws and tax incentives first popularized in California in the early 1980s and greatly expanded upon in Europe during the 1990s are gradually giving way to market-based support mechanisms such as renewable portfolio standards, which are being implemented in one form or another in ten US states and at least three European nations. At the same time, electricity markets are being liberalized in both the US and Europe, and many electricity consumers are being given the choice to support the development of renewable energy through higher tariffs, both in traditionally regulated and newly competitive markets. One notable area in which wind development in Europe and United States has not evolved in common, however, is with respect to the level of community ownership of wind turbines or clusters. While community ownership of wind projects is unheard of in the United States, in Europe, local wind cooperatives or other participatory business schemes have been responsible for a large share of total wind development. In Denmark, for example, approximately 80% of all wind turbines are either individually or cooperatively owned, and a similar pattern holds in Germany, the world leader in installed wind capacity. Sweden also has a strong wind cooperative base, and the UK has recently made forays into community wind ownership. Why is it that wind development has evolved this way in Europe, but not in the United States? What incremental effect have community-owned wind schemes had on European wind development? Have community-owned wind schemes driven development in Europe, or are they merely a vehicle through which the fundamental driving institutions have been channeled? Is there value to having community wind ownership in the US? Is there reason to believe that such schemes would succeed in the US? If so, which model seems most appropriate, and what barriers--legal, regulatory, tax, market, or investment--stand in the way of implementing such a scheme? These are the questions this report seeks to address. The report begins with a discussion of the relative advantages and disadvantages of community wind ownership, as opposed to the large commercially-owned projects that have so far dominated US wind development. Next, four detailed case studies relate community-owned wind experience in Denmark, Sweden, the UK, Germany, focusing primarily on the different participatory models employed in each country. The report then categorizes the various models into three main groupings--community-led, developer-led, and investment funds--and draws general conclusions about the success of each category in Europe, and the conditions that dictate the effective use of one approach over another. Finally, the focus shifts to the US, where the report discusses the domestic barriers facing each model category, and identifies the category offering the most value with the fewest barriers to implementation. The report concludes with a high-level introduction to potential applications for community wind ownership within the United States.

  9. Preemptive scheduling with position costs

    E-Print Network [OSTI]

    In most scheduling models presented in the literature [3, 10], the cost for ... Preemptive scheduling in order to minimize the total position costs also stems.

  10. Hydrogen refueling station costs in Shanghai

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Shaojun, Liu; Ogden, Joan M; Jianxin, Ma

    2007-01-01T23:59:59.000Z

    Kingdom; 2004. [8] Amos W. Costs of storing and transportingcon- nections). Capital costs for this equipment must bein an analysis of station costs. Total station construction

  11. Project Profile: Transformational Approach to Reducing the Total...

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

    Transformational Approach to Reducing the Total System Costs of Building-Integrated Photovoltaics Project Profile: Transformational Approach to Reducing the Total System Costs of...

  12. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy SolarRadioactiveI DisposalFive FY2002 $15,829 FY2003

  13. Total Estimated Contract Cost: Performance Period Total Fee Paid

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy SolarRadioactiveI DisposalFive FY2002 $15,829 FY2003 FY2008

  14. Student Ownership of Work Created in Computer Science Classes and Ownership of software, including the source code, that students create as part of his or

    E-Print Network [OSTI]

    Dyer, Bill

    Student Ownership of Work Created in Computer Science Classes and Projects Ownership of software, including the source code, that students create as part of his or her MSU education activities a perpetual royaltyfree nonexclusive right to use the source code and make derivative works for educational

  15. Falcon 9 Launch Vehicle NAFCOM Cost Estimates

    E-Print Network [OSTI]

    . ­ The updated estimates provided both Cost Plus Fee and Firm Fixed Price approaches and included two flight Updated Estimate Cost Plus Fee Cost Plus Fee Firm Fixed Price Cost Plus Fee Total Total Total Total in structure Interstage (composite material) was included in structures (aluminum lithium material) Interstage

  16. Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies (Presentation)

    SciTech Connect (OSTI)

    Neubauer, J.; Ahmad, P.; Brooker, A.; Wood, E.; Smith, K.; Johnson, C.; Mendelsohn, M.

    2012-05-01T23:59:59.000Z

    This Annual Merit Review presentation describes the application of the Battery Ownership Model for strategies for optimal battery use in electric drive vehicles (PEVs, PHEVs, and BEVs).

  17. Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation Policy

    E-Print Network [OSTI]

    Raphael, S; Berube, A; Deakin, Elizabeth

    2006-01-01T23:59:59.000Z

    Differences in 10 Household Automobile Ownership Rates:hauseltoldr lacking automobiles were mmit like! ) to be leftWithout 3 Access to an Automobile. Top Ten Metropolitan

  18. JUMP DIFFUSION OPTION WITH TRANSACTION COSTS

    E-Print Network [OSTI]

    Mocioalca, Oana

    JUMP DIFFUSION OPTION WITH TRANSACTION COSTS "non-systematic" risk, inclusive of transaction costs. We compute the total transac- tion costs and the turnover for different options, transaction costs, and revision intervals

  19. Lessons Learned: The Grand Junction Office Site Transfer to Private Ownership

    SciTech Connect (OSTI)

    none,

    2001-02-01T23:59:59.000Z

    The U.S. Department of Energy Grand Junction Office (DOE?GJO) in Grand Junction, Colorado, has played an integral role within the DOE complex for many years. GJO has a reputation for outstanding quality in the performance of complex environmental restoration projects, utilizing state-of-the-art technology. Many of the GJO missions have been completed in recent years. In 1998, DOE Headquarters directed GJO to reduce its mortgage costs by transferring ownership of the site and to lease space at a reasonable rate for its ongoing work. A local community group and GJO have entered into a sales contract; signing of the Quitclaim Deed is planned for February 16, 2001. Site transfer tasks were organized as a project with a critical-path schedule to track activities and a Site Transition Decision Plan was prepared that included a decision process flow chart, key tasks, and responsibilities. Specifically, GJO identified the end state with affected parties early on, successfully dealt with site contamination issues, and negotiated a lease-back arrangement, resulting in an estimated savings of more than 60 percent of facility maintenance costs annually. Lessons learned regarding these transition activities could be beneficial to many other sites.

  20. Property:Building/OwnershipCategory | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar Group BV Jump to:InformationCaseType JumpProperty EditOwnershipCategory

  1. Property:EIA/861/Ownership | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,PillarPublicationType JumpDOEInvolve JumpallowedAltFuelVehicleNercRfcOwnership

  2. Startup Costs

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

    1997-03-28T23:59:59.000Z

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

  3. Disturbances in Body Ownership in Schizophrenia: Evidence from the Rubber Hand Illusion and Case Study

    E-Print Network [OSTI]

    Park, Sohee

    Disturbances in Body Ownership in Schizophrenia: Evidence from the Rubber Hand Illusion and Case to psychotic experiences. Body ownership, one component of self- awareness, can be studied with the rubber hand illusion (RHI). Watching a rubber hand being stroked while one's unseen hand is stroked synchronously can

  4. AnonymousCloud: A Data Ownership Privacy Provider Framework in Cloud Computing

    E-Print Network [OSTI]

    Hamlen, Kevin W.

    AnonymousCloud: A Data Ownership Privacy Provider Framework in Cloud Computing Safwan Mahmud Khan their computation results are ultimately delivered. To provide this data ownership privacy, the cloud's distributed-anonymity; authentication; cloud computing; in- formation security; privacy; Tor I. INTRODUCTION Revolutionary advances

  5. SOM ARRA Grant Activity Proposals Submitted as of 7-15-2010 Project Costs*

    E-Print Network [OSTI]

    Bushman, Frederic

    SOM ARRA Grant Activity Proposals Submitted as of 7-15-2010 Project Costs* Total # of Proposals 1,264 Total Project Costs $1,093,036,719 Total Direct Costs $803,739,425 Total Indirects $290,408,131 Awards Received as of 2-11-2011 Project Costs* Year 1 Costs Total # of Awards 333 Total Project Costs $186

  6. Guide to Minimizing Compress-based Cooling

    Broader source: Energy.gov [DOE]

    Guide describes best practices for reducing energy use and total-cost-of-ownership for data center cooling systems.

  7. Does Dual Ownership of Waste Imply a Regional Disposal Approach?

    SciTech Connect (OSTI)

    Mele, I. [ARAO - Agency for Radwaste Management, Parmova 53, Si-1000 Ljubljana (Slovenia)

    2006-07-01T23:59:59.000Z

    The construction of the Nuclear Power Plant Krsko, being located in Slovenia near the Slovenian-Croatian border, was a joint investment by Slovenia and Croatia, two republics of the former Yugoslavia. The plant was completed in 1981 and the commercial operation started early in 1983. The obligations and rights of both investors during the construction and operation were specified in two bilateral contracts signed in 1974 and 1982. These contracts were fairly detailed on construction, operation and exploitation of the nuclear power plant (NPP), but they said very little about future nuclear liabilities. The electricity production was equally shared between the two countries and both parties participated in management of the NPP. In 1991, after Slovenia and Croatia became two independent countries, the agreement on the ownership and exploitation of the NPP Krsko was re-negotiated and a new contract signed in 2003. By the new contract the decommissioning and the disposal of spent fuel (SF) as well as low and intermediate level waste (LILW) is the responsibility of both parties, and the financial resources for covering these liabilities should be equally provided. Regardless of shared ownership of waste, the agreement opts for a single disposal solution for LILW as well as for SF, but the details are left open. More clear elaboration of these responsibilities is given in the programme of the decommissioning and disposal of radioactive waste from the NPP which was jointly prepared by the Slovenian and Croatian waste management organisations in 2004. The programme is clearly opting for only one repository for LILW and one repository for spent fuel, which can be located either in Slovenia or Croatia. Irrespective of the country where such a repository will be sited, dual ownership of waste opens up another dimension of such a solution: will such a repository be regarded as a national facility or as a regional or multinational facility? Both options-national and regional/multinational- may have a strong influence on future agreements on waste disposal, but so far these aspects have not been addressed either in Slovenia or Croatia. The paper brings reflections and discussion on these aspects of waste management in Slovenia and reveals the current situation of the waste disposal project in the country. (authors)

  8. Slide 1

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

    * Electrical cost usually exceeds 75% of the total operating expense. Compressed Air Systems Total Cost of Ownership Source: Compressed Air Challenge 8 | Advanced...

  9. Cost of a Ride: The Effects of Densities on Fixed-Guideway Transit Ridership and Capital Costs

    E-Print Network [OSTI]

    Guerra, Erick; Cervero, Robert

    2010-01-01T23:59:59.000Z

    transit – exceeded capital cost estimates by 40% duringfound that capital costs exceeded estimates by an averagesystems. We estimate the total capital cost, average weekday

  10. Operating Costs Estimates Cost Indices

    E-Print Network [OSTI]

    Boisvert, Jeff

    to update costs of specific equipment, raw material or labor or CAPEX and OPEX of entire plants Cost Indices

  11. Photovoltaic balance-of-system designs and costs at PVUSA

    SciTech Connect (OSTI)

    Reyes, A.B.; Jennings, C.

    1995-05-01T23:59:59.000Z

    This report is one in a series of 1994-1995 PVUSA reports that document PVUSA lessons learned at demonstration sites in California and Texas. During the last 7 years (1988 to 1994), 16 PV systems ranging from 20 kW to 500 kW have been installed. Six 20-kW emerging module technology (EMT) arrays and three turnkey (i.e., vendor designed and integrated) utility-scale systems were procured and installed at PVUSA`s main test site in Davis, California. PVUSA host utilities have installed a total of seven EMT arrays and utility-scale systems in their service areas. Additional systems at Davis and host utility sites are planned. One of PVUSA`s key objectives is to evaluate the performance, reliability, and cost of PV balance-of-system (BOS). In the procurement stage PVUSA encouraged innovative design to improve upon present practice by reducing maintenance, improving reliability, or lowering manufacturing or construction costs. The project team worked closely with suppliers during the design stage not only to ensure designs met functional and safety specifications, but to provide suggestions for improvement. This report, intended for the photovoltaic (PV) industry and for utility project managers and engineers considering PV plant construction and ownership, documents PVUSA utility-scale system design and cost lessons learned. Complementary PVUSA topical reports document: construction and safety experience; five-year assessment of EMTs; validation of the Kerman 500-kW grid-support PV plant benefits; PVUSA instrumentation and data analysis techniques; procurement, acceptance, and rating practices for PV power plants; experience with power conditioning units and power quality.

  12. The effect of pet ownership/attachment on the stress level of multiple sclerosis patients

    E-Print Network [OSTI]

    Loven, Ashley Marie

    2005-11-01T23:59:59.000Z

    whether or not pet ownership and/or attachment influenced the perceived stress level and number of negative life events experienced by MS patients in the relapsing remitting stage. Participants were given a questionnaire that consisted of 7 surveys...

  13. Community wind power ownership schemes in Europe and their relevance to the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2001-01-01T23:59:59.000Z

    Wizelius, T. 1999c. “Wind bank opens to Swedish co-ops. ”Andersen, P.D. 1998. Wind Power in Denmark: Technology,of Community Ownership in a Wind Energy Project at Harlock

  14. TOTAL M F Total M F Total M F Total M F Total M F Total M F Total M F Total M F Total M F Total M F Total M F Total M F Total Spring 2010

    E-Print Network [OSTI]

    Hayes, Jane E.

    202 51 *total new freshmen 684: 636 Lexington campus, 48 Paducah campus MS Total 216 12 5 17 2 0 2 40 248 247 648 45 210 14 *total new freshmen 647: 595 Lexington campus, 52 Paducah campus MS Total 192 14

  15. Project Functions and Activities Definitions for Total Project...

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

    exactly is included in total estimated cost (TEC) and total project cost (TPC). g4301-1chp6.pdf -- PDF Document, 46 KB Writer: John Makepeace Subjects: Administration Management...

  16. Methodology for Calculating Cost-per-Mile for Current and Future Vehicle Powertrain Technologies, with Projections to 2024: Preprint

    SciTech Connect (OSTI)

    Ruth, M.; Timbario, T. A.; Timbario, T. J.; Laffen, M.

    2011-01-01T23:59:59.000Z

    Currently, several cost-per-mile calculators exist that can provide estimates of acquisition and operating costs for consumers and fleets. However, these calculators are limited in their ability to determine the difference in cost per mile for consumer versus fleet ownership, to calculate the costs beyond one ownership period, to show the sensitivity of the cost per mile to the annual vehicle miles traveled (VMT), and to estimate future increases in operating and ownership costs. Oftentimes, these tools apply a constant percentage increase over the time period of vehicle operation, or in some cases, no increase in direct costs at all over time. A more accurate cost-per-mile calculator has been developed that allows the user to analyze these costs for both consumers and fleets. The calculator was developed to allow simultaneous comparisons of conventional light-duty internal combustion engine (ICE) vehicles, mild and full hybrid electric vehicles (HEVs), and fuel cell vehicles (FCVs). This paper is a summary of the development by the authors of a more accurate cost-per-mile calculator that allows the user to analyze vehicle acquisition and operating costs for both consumer and fleets. Cost-per-mile results are reported for consumer-operated vehicles travelling 15,000 miles per year and for fleets travelling 25,000 miles per year.

  17. Improved supplier selection and cost management for globalized automotive production

    E-Print Network [OSTI]

    Franken, Joseph P., II (Joseph Philip)

    2012-01-01T23:59:59.000Z

    For many manufacturing and automotive companies, traditional sourcing decisions rely on total landed cost models to determine the cheapest supplier. Total landed cost models calculate the cost to purchase a part plus all ...

  18. Cost per-User as Key Factor in Project Prioritization: A Case Study of the San Francisco Bay Area

    E-Print Network [OSTI]

    Nuworsoo, Cornelius; Parks, Kamala; Deakin, Elizabeth

    2006-01-01T23:59:59.000Z

    The total estimated investment cost of network-related. ll0Vdistribution of capital investment costs and consequentlyThe total estimated investment cost of service-related

  19. Study of Possible Applications of Currently Available Building Information Modeling Tools for the Analysis of Initial Costs and Energy Costs for Performing Life Cycle Cost Analysis 

    E-Print Network [OSTI]

    Mukherji, Payal Tapandev

    2011-02-22T23:59:59.000Z

    Technology BLCC Building Life Cycle Cost DOE Department of Energy BIPV Building Integrated Photovoltaic Systems BEES Building for Environmental And Economic Sustainability HVAC Heating, Ventilation and Air-Conditioning SMACNA Sheet Metal and Air..., Fee Costs Construction Costs Other Costs Financing Costs Operation Costs (Energy, water, utilities, energy price, energy price projections etc.) Maintenance Costs Initial Costs (Purchase and Acquisition) Owner?s Total Costs Residual...

  20. Operating Costs

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

    1997-03-28T23:59:59.000Z

    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.

  1. Cost analysis guidelines

    SciTech Connect (OSTI)

    Strait, R.S.

    1996-01-10T23:59:59.000Z

    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.

  2. INDIRECT COST CALCULATION [IN REVERSE] YOU WANT TO CALCULATE THE DIRECT COSTS

    E-Print Network [OSTI]

    Finley Jr., Russell L.

    INDIRECT COST CALCULATION [IN REVERSE] YOU WANT TO CALCULATE THE DIRECT COSTS YOU KNOW WHAT THE TUITION, STIPEND AND EQUIPMENT COSTS ARE YOU KNOW WHAT THE TOTAL COST IS CALCULATION IS USING THE 2010 FED F&A RATE FOR WSU OF 52% (.52) [ DIRECT COST ­ TUITION ­ STIPEND ­ EQUIPMENT] (.52 ) + DIRECT

  3. Using ownership types to support library aliasing boundaries Luke Wagner Jaakko Jarvi Bjarne Stroustrup

    E-Print Network [OSTI]

    Wrigstad, Tobias

    Using ownership types to support library aliasing boundaries Luke Wagner Jaakko J¨arvi Bjarne types. Based on the positive experience with the concurrency library, this paper considers a family of the aliasing boundaries required by the library with those expressed with own- ership types; (3) describes

  4. HOW THE BIOECONOMY COULD CHANGE LAND OWNERSHIP AND Mike Duffy1

    E-Print Network [OSTI]

    Duffy, Michael D.

    HOW THE BIOECONOMY COULD CHANGE LAND OWNERSHIP AND VALUES Mike Duffy1 Agriculture is undergoing a fundamental change based on the move toward a bioeconomy. Currently the bioeconomy consists primarily of fuels stages of development. The bioeconomy has been described as "nothing less than a revolution in the way

  5. Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation Policy

    E-Print Network [OSTI]

    Sekhon, Jasjeet S.

    Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation's aftermath concerned the size and composition of the area's populations that lacked access to an automobile for all U.S. metropolitan areas that reside in a household without access to an automobile. Finally, we

  6. Contracting with reading costs and renegotiation costs

    E-Print Network [OSTI]

    Brennan, James R.

    2007-01-01T23:59:59.000Z

    Reading Costs, Competition, and ContractReading Costs . . . . . . . . . . . . . . . . C. EquilibriumUnconscionability A?ect Reading Costs . . . . . . . . . .

  7. Allocating Costs in Ninth Circuit Predatory Pricing Cases: Marsann Co. v. Brammall, Inc. and its Problematic Progeny, Inglis v. Continental Baking and Thales v. Matsushita

    E-Print Network [OSTI]

    Frech, Ted E; Wazzan, C. Paul

    2008-01-01T23:59:59.000Z

    treatment of prices above average variable cost, but belowaverage total cost varies greatly. In the Sixth and Ninthto be below Average Total Cost, but above Average Variable

  8. Ownership unbundling in electricity distribution: empircal evidence from New Zealand

    E-Print Network [OSTI]

    Nillesen, Paul; Pollitt, Michael G.

    is unrealistic. First, double marginalisation assumes a one-part price. This is not the case in network service pricing, where multipart pricing is practised and marginal prices often equal marginal cost. Second, the paper assumes that regulators only reduce... and snow), and thus wholesale spot prices fluctuate strongly. Furthermore, the hydro lakes are located predominantly in steeply sloping river valleys, which mean that changes in rainfall conditions quickly have an impact on generation capacity. Consumption...

  9. Hydrogen refueling station costs in Shanghai

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Shaojun, Liu; Ogden, Joan M; Jianxin, Ma

    2007-01-01T23:59:59.000Z

    total installed capital cost (TIC) 1% Of TIC 25% Estimate ofcost estimates for six station types SMR 100 a Equipment capital

  10. CIGNA Study Uncovers Relationship of Disabilities to Total Benefits...

    Office of Environmental Management (EM)

    findings of a new study reveal an interesting trend. Integrating disability programs with health care programs can potentially lower employers' total benefits costs and help...

  11. The effects of demographics and pet ownership on attachment towards and opinion about owned and unowned free-roaming cats

    E-Print Network [OSTI]

    Ramon, Melanie Elaine

    2009-05-15T23:59:59.000Z

    A telephone questionnaire was developed to collect information on pet owners, cat ownership patterns, and people's opinions about homeless pets. A 7-day observation log was also developed to gather information about free-roaming cats in Caldwell, TX...

  12. Founder-CEO values, the conception of ownership and governance models illustrated in a case study of Auchan.

    E-Print Network [OSTI]

    Boyer, Edmond

    and Monique Demonchy for receiving us and answering our numerous questions. The analyses presented of dysfunction in major publicly traded companies was due to the separation of ownership and control, the former

  13. EA-1338: Transfer of the Department of Energy Grand Junction Office to Non-DOE Ownership, Grand Junction, Colorado

    Broader source: Energy.gov [DOE]

    This EA evaluates the environmental impacts for the proposed transfer of real and personal property at the U.S. Department of Energy's Grand Junction Office to non-DOE ownership.

  14. The relationship between ownership fragmentation and landscape structure in Bastrop County, Texas

    E-Print Network [OSTI]

    Engle, Jason Allen

    2002-01-01T23:59:59.000Z

    ) and 0 (Iow) for contrast. . . . . 21 Table 6. Summary of linear regressions relating ownership density to landscape metrics (Fig. 3 ? Fig, 6) in landscapes at multiple spatial extents for 2 time periods in Bastrop County, TX...), increased by 51'/& since 1990, compared to a 23'zo increase statewide (U. S. Census Bureau 2000), State highways 290 and 21 bisect the county, and its northwestern boarder is only 15 km (9. 3 mi) from Austin, Texas city limits. Also, the "Lost Pines...

  15. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

    · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining% accuracy. ­ 2-5% of pre-production capital Types of Cost Estimates #12;3. Definitive ­ Based on definitive-even $ Production Level Fixed Cost Break-even $ Production Level Cost-Revenue Relationships · Capital Costs (or

  16. TRANSACTION COSTS AND NONMARKOVIAN DELTA HEDGING

    E-Print Network [OSTI]

    TRANSACTION COSTS AND NON­MARKOVIAN DELTA HEDGING Claudio Albanese and Stathis Tompaidis. The underlying security is a stock whose trading involves a small relative transaction cost k . If k = 0 find an optimal trading strategy that minimizes total transaction costs for a given degree of risk

  17. 2014-2015 Projected Aviation Program Costs

    E-Print Network [OSTI]

    Delene, David J.

    2014-2015 Projected Aviation Program Costs UND Aerospace offers two aviation degree programs with a total of seven academic majors. Each has its own flight course requirements, which affect the cost of a degree program. BACHELOR of BUSINESS ADMINISTRATION ** Flight Costs Airport Management Survey of Flight

  18. Memorial University of Newfoundland Indirect Costs Report

    E-Print Network [OSTI]

    deYoung, Brad

    Memorial University of Newfoundland Indirect Costs Report 2012-13 The grant provided through the Government of Canada Indirect Costs Program (ICP) is essential to Memorial's research success. Funding and impact can be found in the following section. Total 2013 Indirect Costs Grant: $4,318,814 Management

  19. Hydrogen Pathway Cost Distributions Jim Uihlein

    E-Print Network [OSTI]

    Components Feedstock Production Delivery Total Delivered Hydrogen Cost Biomass Central Pipeline Distribution produce hydrogen at 300 psi · Liquefaction or pipeline compression included in delivery · Delivery costsHydrogen Pathway Cost Distributions Jim Uihlein Fuel Pathways Integration Tech Team January 25

  20. Total Estimated Contract Cost: Contract Option Period: Maximum Fee

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy SolarRadioactiveI DisposalFive ThingsWesternDefinition

  1. Total Estimated Contract Cost: Contract Option Period: Performance

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy SolarRadioactiveI DisposalFive

  2. Property:Geothermal/TotalProjectCost | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska:PrecourtOid Jump to:DocketFlowGpm Jump

  3. Costing of Joining Methods -Arc Welding Costs

    E-Print Network [OSTI]

    Colton, Jonathan S.

    Costing of Joining Methods - Arc Welding Costs ver. 1 ME 6222: Manufacturing Processes and Systems Prof. J.S. Colton © GIT 2009 1 #12;OverviewOverview · Cost components · Estimation of costsEstimation of costs · Examples ME 6222: Manufacturing Processes and Systems Prof. J.S. Colton © GIT 2009 2 #12;Cost

  4. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

    05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main classes of capital costs: 1. Depreciable Investment: · Investment allocated

  5. Use Patterns of LED Flashlights in Kenya and a One-Year Cost Analysis of Flashlight Ownership

    E-Print Network [OSTI]

    Tracy, Jennifer

    2010-01-01T23:59:59.000Z

    Project includes an Off-Grid Lighting Technology Assessmentand the market success of off-grid lighting solutions formarket spoiling effect for off-grid lighting products based

  6. Use Patterns of LED Flashlights in Kenya and a One-Year Cost Analysis of Flashlight Ownership

    E-Print Network [OSTI]

    Tracy, Jennifer

    2010-01-01T23:59:59.000Z

    rechargeable sealed-lead acid (SLA) batteries are alsolead-acid (SLA) battery, LED flashlights powered by dry cell batteries,

  7. Cummins Next Generation Tier 2, Bin 2 Light Truck Diesel Engine

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

    equivalent US Tier 2, Bin 2 emissions levels Commercially Viable Solutions - High quality, Great Performance, Low Total Cost of Ownership Program Targets 2010 Nissan Titan...

  8. FEMP Offers New eTraining Core Course on Fundamentals of Life...

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

    Federal economic-based decision making, determine the total cost of ownership of project alternatives, and inform decisions for energy and water efficiency investments. In...

  9. Transformative Wave Technologies Kent, Washington

    E-Print Network [OSTI]

    California at Davis, University of

    space humidity, temperature, and IAQ. ·Non-proprietary, open architecture, open source license, vendor downtime ·Maximizes productivity ·Predictive maintenance ·Lowers total cost of ownership ·Reduced wear

  10. Estimating Specialty Costs

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

    1997-03-28T23:59:59.000Z

    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.

  11. Cost Sharing What is Cost Sharing?

    E-Print Network [OSTI]

    Tsien, Roger Y.

    sharing using various data fields (bin, fund, PI, index, etc.) x Create a Bin Generate a bin where cost;3 Cost Sharing Steps Search for & Create a Bin Search Results Display Select AWARD Type the correct data1 Cost Sharing What is Cost Sharing? x Cost sharing is a commitment to use university resources

  12. Total Light Management

    Broader source: Energy.gov [DOE]

    Presentation covers total light management, and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Providence, Rhode Island.

  13. Total Space Heat-

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Commercial Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration...

  14. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

  15. Expenses as a component of inventory cost

    E-Print Network [OSTI]

    Lott, Eugene H

    1949-01-01T23:59:59.000Z

    ?ocess cost accounting. While it is not necessary to give exhaust1ve t eetment to this sub]ect, a short desc?ip tion of the method' used 1. necessa?y to establish an 1m- portant point Job order cost accounting is us, d in manufactu?ing when p?oduction... of total manufacturing cost applicable to clearly dis tinguishable lots as they pass through various manufacturing processes or depa?tments ~ In this system, it is possible to compute the unit cost of each finished p?oduct by accumulating the total...

  16. Employee Replacement Costs

    E-Print Network [OSTI]

    Dube, Arindrajit; Freeman, Eric; Reich, Michael

    2010-01-01T23:59:59.000Z

    Samuel Schenker, “The Costs of Hir- u ing Skilled Workers”,Employee Replacement Costs Arindrajit Dube, Eric Freeman andof employee replacement costs, using a panel survey of

  17. Employee Replacement Costs

    E-Print Network [OSTI]

    Dube, Arindrajit; Freeman, Eric; Reich, Michael

    2010-01-01T23:59:59.000Z

    Employee Replacement Costs Arindrajit Dube, Eric Freeman andproperties of employee replacement costs, using a panel2008. We establish that replacement costs are sub- stantial

  18. Veeco Develops Tools to Drive Down HBLED Costs

    Broader source: Energy.gov [DOE]

    Veeco is working in partnership with Sandia National Laboratories and Philips Lumileds to drive down the cost of high-brightness LEDs by implementing process simulation tools and by improving temperature measurement and control methods to increase MOCVD yield. Veeco is working with Sandia to reduce the cost of ownership (COO) of the deposition equipment by, for example, using a heated flow flange, which reduces the consumption of the expensive precursors (ammonia, nitrogen, hydrogen, and the metal organics) by 40 percent. Two different types of pyrometers developed by Sandia and Veeco are being tested by Philips Lumileds to control the substrate temperature, which helps determine the color of the LED. If all works according to plan, the COO will be reduced by at least 75 percent by improving throughput, growth uniformity, yield, and temperature stabilization.

  19. Costs and Consequences of Flooding Camilo Sarmiento, Ph.D.

    E-Print Network [OSTI]

    Costs and Consequences of Flooding Camilo Sarmiento, Ph.D. Senior Economist Fannie Mae #12 the impact that the NFIP has had on the flooding costs and the distribution of these costs among payers the NFIP loss database, the model examines losses in known flood events, infers total losses by cost

  20. Table 1 -ESTIMATED REDUCTION IN 1985 COTTON YIELDS RESULTING FROM INSECTDAMAGE TOTAL YIELD 13,622 bales INSECTS Loss in AL AZ AR CA FL GA LA MS MO NM NC OK SC TN TX VA No.

    E-Print Network [OSTI]

    Ray, David

    Average cost for all states nTotal yield for all states o Total acres for all states *Does not include BWE cost

  1. Energy Use and Costs in Texas Schools and Hospitals

    E-Print Network [OSTI]

    Dunn, J. R.

    1998-01-01T23:59:59.000Z

    Procedures are presented for documenting and graphically presenting the monthly and annual energy use and costs for schools and hospitals. Collected data include monthly electrical energy consumed, monthly total electrical cost, monthly electrical...

  2. Incorporating uncertainty in the Life Cycle Cost Analysis of pavements

    E-Print Network [OSTI]

    Swei, Omar Abdullah

    2012-01-01T23:59:59.000Z

    Life Cycle Cost Analysis (LCCA) is an important tool to evaluate the economic performance of alternative investments for a given project. It considers the total cost to construct, maintain, and operate a pavement over its ...

  3. Total Synthesis of (?)-Himandrine

    E-Print Network [OSTI]

    Movassaghi, Mohammad

    We describe the first total synthesis of (?)-himandrine, a member of the class II galbulimima alkaloids. Noteworthy features of this chemistry include a diastereoselective Diels?Alder reaction in the rapid synthesis of the ...

  4. Using Pinch Technology to Explore Trade-Offs Between Energy Cost, Capital Cost, Process Modifications, and Utility Selection 

    E-Print Network [OSTI]

    McMullan, A. S.

    1988-01-01T23:59:59.000Z

    on the total cost of installing and operatlng a process. Understanding the impact of these decisions in the context of the overall process can lead to significant savings in both capital and operating costs. Full investigation of these interactions through...

  5. The unit cost factors and calculation methods for decommissioning - Cost estimation of nuclear research facilities

    SciTech Connect (OSTI)

    Kwan-Seong Jeong; Dong-Gyu Lee; Chong-Hun Jung; Kune-Woo Lee [Korea Atomic Energy Research Institute, Deokjin-dong 150, Yuseong-gu, Daejeon 305-353 (Korea, Republic of)

    2007-07-01T23:59:59.000Z

    Available in abstract form only. Full text of publication follows: The uncertainties of decommissioning costs increase high due to several conditions. Decommissioning cost estimation depends on the complexity of nuclear installations, its site-specific physical and radiological inventories. Therefore, the decommissioning costs of nuclear research facilities must be estimated in accordance with the detailed sub-tasks and resources by the tasks of decommissioning activities. By selecting the classified activities and resources, costs are calculated by the items and then the total costs of all decommissioning activities are reshuffled to match with its usage and objectives. And the decommissioning cost of nuclear research facilities is calculated by applying a unit cost factor method on which classification of decommissioning works fitted with the features and specifications of decommissioning objects and establishment of composition factors are based. Decommissioning costs of nuclear research facilities are composed of labor cost, equipment and materials cost. Of these three categorical costs, the calculation of labor costs are very important because decommissioning activities mainly depend on labor force. Labor costs in decommissioning activities are calculated on the basis of working time consumed in decommissioning objects and works. The working times are figured out of unit cost factors and work difficulty factors. Finally, labor costs are figured out by using these factors as parameters of calculation. The accuracy of decommissioning cost estimation results is much higher compared to the real decommissioning works. (authors)

  6. Ownership transfer for non-federate object and time management in developing an hla compliant logistics model.

    SciTech Connect (OSTI)

    Li, Z.

    1998-01-12T23:59:59.000Z

    A seaport simulation model, PORTSIM, has been developed for the Department of Defense (DOD) at Argonne National Laboratory. PORTSIM simulates the detailed processes of cargo loading and unloading in a seaport and provides throughput capability, resource utilization, and other important information on the bottlenecks in a seaport operation, which are crucial data in determining troop and equipment deployment capability. There are two key problems to solve in developing the HLA-compliant PORTSIM model. The first is the cargo object ownership transfer problem. In PORTSIM, cargo items, e.g. vehicles, containers, and pallets, are objects having asset attributes. Cargo comes to a seaport for loading or unloading. The ownership of a cargo object transfers from its carrier to the port and then from the port to a new carrier. Each owner of the cargo object is responsible for publishing and updating the attributes of the cargo object when it has the ownership. This creates a unique situation in developing the PORTSIM federate object model, that is, the ownership of the object instead of the attributes needs to be changed in handling the cargo object in the PORTSIM federate. The ownership management service provided by the current RTI does not directly address this issue. The second is the time management issue. PORTSIM is an event-driven simulation that models seaport operations over time. To make PORTSIM HLA compliant, time management must be addressed to allow for synchronization with other simulation models. This paper attempts to address these two issues and methodologies developed for solving these two problems.

  7. Rangeland Resource Management for Texans: Total Resource Management

    E-Print Network [OSTI]

    Hanselka, C. Wayne; Fox, William E.; White, Larry D.

    2004-03-26T23:59:59.000Z

    The Total Resource Management approach helps ranchers make strategic, tactical and operational decisions for the best, most cost-effective use of resources. This publication offers step-by-step directions for implementing TRM for a profitable...

  8. Total Energy Monitor

    SciTech Connect (OSTI)

    Friedrich, S

    2008-08-11T23:59:59.000Z

    The total energy monitor (TE) is a thermal sensor that determines the total energy of each FEL pulse based on the temperature rise induced in a silicon wafer upon absorption of the FEL. The TE provides a destructive measurement of the FEL pulse energy in real-time on a pulse-by-pulse basis. As a thermal detector, the TE is expected to suffer least from ultra-fast non-linear effects and to be easy to calibrate. It will therefore primarily be used to cross-calibrate other detectors such as the Gas Detector or the Direct Imager during LCLS commissioning. This document describes the design of the TE and summarizes the considerations and calculations that have led to it. This document summarizes the physics behind the operation of the Total Energy Monitor at LCLS and derives associated engineering specifications.

  9. Total Precipitable Water

    SciTech Connect (OSTI)

    None

    2012-01-01T23:59:59.000Z

    The simulation was performed on 64K cores of Intrepid, running at 0.25 simulated-years-per-day and taking 25 million core-hours. This is the first simulation using both the CAM5 physics and the highly scalable spectral element dynamical core. The animation of Total Precipitable Water clearly shows hurricanes developing in the Atlantic and Pacific.

  10. Cost Model and Cost Estimating Software

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

    1997-03-28T23:59:59.000Z

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

  11. Tracking the Sun III; The Installed Cost of Photovoltaics in the United States from 1998-2009

    SciTech Connect (OSTI)

    Barbose, Galen; Darghouth, Naim; Wiser, Ryan

    2010-12-13T23:59:59.000Z

    Installations of solar photovoltaic (PV) systems have been growing at a rapid pace in recent years. In 2009, approximately 7,500 megawatts (MW) of PV were installed globally, up from approximately 6,000 MW in 2008, consisting primarily of grid-connected applications. With 335 MW of grid-connected PV capacity added in 2009, the United States was the world's fourth largest PV market in 2009, behind Germany, Italy, and Japan. The market for PV in the United States is driven by national, state, and local government incentives, including up-front cash rebates, production-based incentives, requirements that electricity suppliers purchase a certain amount of solar energy, and federal and state tax benefits. These programs are, in part, motivated by the popular appeal of solar energy, and by the positive attributes of PV - modest environmental impacts, avoidance of fuel price risks, coincidence with peak electrical demand, and the possible deployment of PV at the point of use. Given the relatively high cost of PV, however, a key goal of these policies is to encourage cost reductions over time. Therefore, as policy incentives have become more significant and as PV deployment has accelerated, so too has the desire to track the installed cost of PV systems over time, by system characteristics, by system location, and by component. Despite the significant year-on-year growth, however, the share of global and U.S. electricity supply met with PV remains small, and annual PV additions are currently modest in the context of the overall electric system. To address this need, Lawrence Berkeley National Laboratory initiated a report series focused on describing trends in the installed cost of grid-connected PV systems in the United States. The present report, the third in the series, describes installed cost trends from 1998 through 2009, and provides preliminary cost data for systems installed in 2010. The analysis is based on project-level cost data from approximately 78,000 residential and non-residential PV systems in the U.S., all of which are installed at end-use customer facilities (herein referred to as 'customer-sited' systems). The combined capacity of systems in the data sample totals 874 MW, equal to 70% of all grid-connected PV capacity installed in the United States through 2009 and representing one of the most comprehensive sources of installed PV cost data for the U.S. The report also briefly compares recent PV installed costs in the United States to those in Germany and Japan. Finally, it should be noted that the analysis presented here focuses on descriptive trends in the underlying data, serving primarily to summarize the data in tabular and graphical form; later analysis may explore some of these trends with more-sophisticated statistical techniques. The report begins with a summary of the data collection methodology and resultant dataset (Section 2). The primary findings of the analysis are presented in Section 3, which describes trends in installed costs prior to receipt of any financial incentives: over time and by system size, component, state, system ownership type (customer-owned vs. third party-owned), host customer segment (residential vs. commercial vs. public-sector vs. non-profit), application (new construction vs. retrofit), and technology type (building-integrated vs. rack-mounted, crystalline silicon vs. thin-film, and tracking vs. fixed-axis). Section 4 presents additional findings related to trends in PV incentive levels over time and among states (focusing specifically on state and utility incentive programs as well as state and federal tax credits), and trends in the net installed cost paid by system owners after receipt of such incentives. Brief conclusions are offered in the final section, and several appendices provide additional details on the analysis methodology and additional tabular summaries of the data.

  12. Activity Based Costing

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

    1997-03-28T23:59:59.000Z

    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.

  13. Turfgrass: Maintenance Costs in Texas.

    E-Print Network [OSTI]

    Holt, Ethan C.; Allen, W. Wayne; Ferguson, Marvin H.

    1964-01-01T23:59:59.000Z

    . These regions also have high water costs. The Gulf Coast, where water is a minor item, has an average expenditure only slightly greater than half that in West Texas. Average lawn sizes in these two regions are almost identical. Use of com- post, commercial.... Individuals with grasses other than bermuda and St. Augustine spend on the average about 53 percent TARLE 2. TOTALS OF VARIOUS HOME LAWN MAINTENANCE EXPENDITURES WITHIN REGIONS AND FOR THE STATE1 Number of Maintenance items Region households Commercial...

  14. Sharing Supermodular Costs

    E-Print Network [OSTI]

    2010-06-23T23:59:59.000Z

    For a particular class of supermodular cost cooperative games that arises from a scheduling ... the costs collectively incurred by a group of cooperating agents.

  15. Operations Cost Allocation Project

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

    Operations Consolidation Project Operations Consolidation Project (OCP) Cost Allocation Presentation - September 20, 2011 OCP Cost Allocation Customer Presentation List of Acronyms...

  16. TotalView Training

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesisAppliances » Top InnovativeTopoisomeraseTotalView

  17. ANALYSIS OF THE PERFORMANCE AND COST EFFECTIVENESS OF NINE SMALL WIND ENERGY CONVERSION SYSTEMS FUNDED BY THE DOE SMALL GRANTS PROGRAM

    E-Print Network [OSTI]

    Kay, J.

    2009-01-01T23:59:59.000Z

    Thus, the net marginal investment costs of the wind systemi f any: Total net investment costs before: and after tax:$426 = (11) Total net investment costs before: $5836 and

  18. The effects of demographics and pet ownership on attachment towards and opinion about owned and unowned free-roaming cats 

    E-Print Network [OSTI]

    Ramon, Melanie Elaine

    2009-05-15T23:59:59.000Z

    THE EFFECTS OF DEMOGRAPHICS AND PET OWNERSHIP ON ATTACHMENT TOWARDS AND OPINION ABOUT OWNED AND UNOWNED FREE-ROAMING CATS A Thesis by MELANIE ELAINE RAMON Submitted to the Office of Graduate Studies of Texas A&M University in partial... A Thesis by MELANIE ELAINE RAMON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved by: Chair of Committee, Margaret Slater...

  19. PHENIX WBS notes. Cost and schedule review copy

    SciTech Connect (OSTI)

    Not Available

    1994-02-01T23:59:59.000Z

    The Work Breakdown Structure (WBS) Book begins with this Overview section, which contains the high-level summary cost estimate, the cost profile, and the global construction schedule. The summary cost estimate shows the total US cost and the cost in terms of PHENIX construction funds for building the PHENIX detector. All costs in the WBS book are shown in FY 1993 dollars. Also shown are the institutional and foreign contributions, the level of pre-operations funding, and the cost of deferred items. Pie charts are presented at PHENIX WBS level 1 and 2 that show this information. The PHENIX construction funds are shown broken down to PHENIX WBS level 3 items per fiscal year, and the resulting profile is compared to the RHIC target profile. An accumulated difference of the two profiles is also shown. The PHENIX global construction schedule is presented at the end of the Overview section. Following the Overview are sections for each subsystem. Each subsystem section begins with a summary cost estimate, cost profile, and critical path. The total level 3 cost is broken down into fixed costs (M&S), engineering costs (EDIA) and labor costs. Costs are further broken down in terms of PHENIX construction funds, institutional and foreign contributions, pre-operations funding, and deferred items. Also shown is the contingency at level 3 and the level 4 breakdown of the total cost. The cost profile in fiscal years is shown at level 3. The subsystem summaries are followed by the full cost estimate and schedule sheets for that subsystem. These detailed sheets are typically carried down to level 7 or 8. The cost estimate Total, M&S, EDIA, and Labor breakdowns, as well as contingency, for each WBS entry.

  20. What History Can Teach Us about the Future Costs

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Viewpointt What History Can Teach Us about the Future Costs of U.S. NUCLEAR POWER Past experience suggests that high-cost surprises should be included in the planning process. NATHAN E. HULTMAN GEORGETOWN total cost, and incur financial risks no greater than those for other energy technologies. In this ar

  1. Wind Power: How Much, How Soon, and At What Cost?

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01T23:59:59.000Z

    wind energy and that allow the model to incorporate the costsCost and Electricity Production of High Penetration Levels of Intermittent Electricity in OECD Europe and the USA, Results for Wind Energy."wind energy are projected to be relatively modest. Figure 11 shows the total estimated electric-sector costs

  2. Material World: Forecasting Household Appliance Ownership in a Growing Global Economy

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23T23:59:59.000Z

    Over the past years the Lawrence Berkeley National Laboratory (LBNL) has developed an econometric model that predicts appliance ownership at the household level based on macroeconomic variables such as household income (corrected for purchase power parity), electrification, urbanization and climate variables. Hundreds of data points from around the world were collected in order to understand trends in acquisition of new appliances by households, especially in developing countries. The appliances covered by this model are refrigerators, lighting fixtures, air conditioners, washing machines and televisions. The approach followed allows the modeler to construct a bottom-up analysis based at the end use and the household level. It captures the appliance uptake and the saturation effect which will affect the energy demand growth in the residential sector. With this approach, the modeler can also account for stock changes in technology and efficiency as a function of time. This serves two important functions with regard to evaluation of the impact of energy efficiency policies. First, it provides insight into which end uses will be responsible for the largest share of demand growth, and therefore should be policy priorities. Second, it provides a characterization of the rate at which policies affecting new equipment penetrate the appliance stock. Over the past 3 years, this method has been used to support the development of energy demand forecasts at the country, region or global level.

  3. Cost Estimation Package

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

    1997-03-28T23:59:59.000Z

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

  4. Systems Engineering Cost Estimation

    E-Print Network [OSTI]

    Bryson, Joanna J.

    on project, human capital impact. 7 How to estimate Cost? Difficult to know what we are building early on1 Systems Engineering Lecture 3 Cost Estimation Dr. Joanna Bryson Dr. Leon Watts University of Bath: Contrast approaches for estimating software project cost, and identify the main sources of cost

  5. Life Cycle Cost Estimate

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

    1997-03-28T23:59:59.000Z

    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.

  6. OOTW COST TOOLS

    SciTech Connect (OSTI)

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

    1998-09-01T23:59:59.000Z

    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.

  7. The cost effectiveness of geotechnical investigations in commercial building construction

    E-Print Network [OSTI]

    Temple, Merdith Wyndham Bolling

    1985-01-01T23:59:59.000Z

    and conducting thorough geotechnical investigations will be demonstrated. A range estimation and frequency histogram are introduced to illustrate the nominal expense of such studies compared to total project cost. These cost estimation techniques are based... have on project construction costs, particularly with respect to foundation expenditures. This data ". . . is believed by many to hold the key to significant cost reductions in. . . construction programs" . (46). It will be clearly demonstrated...

  8. Purpose Destination Date Parts Labor Costs

    E-Print Network [OSTI]

    Rock, Chris

    Report Previous Month Odometer Lub./ Fluid or Fuel Qty. Cost YearType Trip/Daily Ending Odometer Vehicle as necessary. $ $ $ Fuel/Fluid Type CNG=COMP.NAT.GAS DSL=DIESEL ELE=ELECTRICITY ETH=ETHANOL GAS=UNLEADEDGAS LPG=PROPANE MTH=METHANOL BDL=BIODIESEL Total Costs $ $ $ Fuel data entry must be per transaction A D D A D D #12;

  9. ICPP tank farm closure study. Volume 3: Cost estimates, planning schedules, yearly cost flowcharts, and life-cycle cost estimates

    SciTech Connect (OSTI)

    NONE

    1998-02-01T23:59:59.000Z

    This volume contains information on cost estimates, planning schedules, yearly cost flowcharts, and life-cycle costs for the six options described in Volume 1, Section 2: Option 1 -- Total removal clean closure; No subsequent use; Option 2 -- Risk-based clean closure; LLW fill; Option 3 -- Risk-based clean closure; CERCLA fill; Option 4 -- Close to RCRA landfill standards; LLW fill; Option 5 -- Close to RCRA landfill standards; CERCLA fill; and Option 6 -- Close to RCRA landfill standards; Clean fill. This volume is divided into two portions. The first portion contains the cost and planning schedule estimates while the second portion contains life-cycle costs and yearly cash flow information for each option.

  10. Facilities and Administration (Indirect) Costs Rates Facilities and Administrative (indirect) costs rates are the result of negotiations with the U.S.

    E-Print Network [OSTI]

    Saldin, Dilano

    Facilities and Administration (Indirect) Costs Rates Facilities and Administrative (indirect) costs (Indirect Costs) Source of Funds Applicable To F&A Rate DHHS Federally Negotiated Rates: Federal, Non or a different rate has been approved by the Director of OSP. *MTDC Base: Modified total direct costs consist

  11. Pollution prevention cost savings potential

    SciTech Connect (OSTI)

    Celeste, J.

    1994-12-01T23:59:59.000Z

    The waste generated by DOE facilities is a serious problem that significantly impacts current operations, increases future waste management costs, and creates future environmental liabilities. Pollution Prevention (P2) emphasizes source reduction through improved manufacturing and process control technologies. This concept must be incorporated into DOE`s overall operating philosophy and should be an integral part of Total Quality Management (TQM) program. P2 reduces the amount of waste generated, the cost of environmental compliance and future liabilities, waste treatment, and transportation and disposal costs. To be effective, P2 must contribute to the bottom fine in reducing the cost of work performed. P2 activities at LLNL include: researching and developing innovative manufacturing; evaluating new technologies, products, and chemistries; using alternative cleaning and sensor technologies; performing Pollution Prevention Opportunity Assessments (PPOAs); and developing outreach programs with small business. Examples of industrial outreach are: innovative electroplating operations, printed circuit board manufacturing, and painting operations. LLNL can provide the infrastructure and technical expertise to address a wide variety of industrial concerns.

  12. An analysis of costs and economies of size in Texas feedlots

    E-Print Network [OSTI]

    Thomas, Peter John

    1986-01-01T23:59:59.000Z

    of Ownership Panhandle- Plains Plateau- Pecos East Texas Feeding Are Cuff Coast- Rio Grande Totol Plains Single Proprietor Partnership Cooperative Corporation Other Total 7. 1 16. 7 NR 76. 2 NR lee. g 9. 1 9. 1 NR 81. 8 NR tee. e... percent NR NR NR NR 46. 2 NR SS. 8 188. 8 5. 6 19. 4 75. 6 1. 4 186. 8 NR ? None reported by respondents interviewed. 20 their customers. Source of Financing for Operating Capital Financing an agricultural business in the early 1980's...

  13. Direct/Indirect Costs

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

    1997-03-28T23:59:59.000Z

    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.

  14. About Cost Center

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

    from the university, fee-for-service contracts, as well as establishing CAMD as a cost center. We know that our users are reluctant to see CAMD become a cost center, however...

  15. Tracking the Sun III; The Installed Cost of Photovoltaics in the United States from 1998-2009

    E-Print Network [OSTI]

    Barbose, Galen

    2011-01-01T23:59:59.000Z

    from 1998-2009 Tracking the Sun III: The Installed Cost ofSystems MW Total Tracking the Sun III: The Installed Cost ofthrough 2009. Tracking the Sun III: The Installed Cost of

  16. Tracking the Sun II: The Installed Cost of Photovoltaics in the U.S. from 1998-2008

    E-Print Network [OSTI]

    Barbose, Galen L

    2010-01-01T23:59:59.000Z

    Systems MW Total Tracking the Sun II: The Installed Cost of PhotovoltaicsSystems Tracking the Sun II: The Installed Cost of PhotovoltaicsSystem Size Tracking the Sun II: The Installed Cost of Photovoltaics

  17. Tracking the Sun III; The Installed Cost of Photovoltaics in the United States from 1998-2009

    E-Print Network [OSTI]

    Barbose, Galen

    2011-01-01T23:59:59.000Z

    Systems MW Total Tracking the Sun III: The Installed Cost of PhotovoltaicsSystem Size Tracking the Sun III: The Installed Cost of PhotovoltaicsSystems >10 kW Tracking the Sun III: The Installed Cost of Photovoltaics

  18. Power Plant Cycling Costs

    SciTech Connect (OSTI)

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

    2012-07-01T23:59:59.000Z

    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.

  19. The Impact of Stewardship on Firm Performance: A Family Ownership and Internal Governance Perspective

    E-Print Network [OSTI]

    Wesley, Curtis Leonus

    2012-02-14T23:59:59.000Z

    Current research in corporate governance focuses primarily upon minimization of agency costs in the shareholder-management relationship. In this dissertation, I examine a complimentary perspective based upon stewardship theory. The model developed...

  20. A preliminary analysis of comparable cooling-thermal loading-reservoir ownership as a factor in annual recreation attendance

    E-Print Network [OSTI]

    Darga, Thomas Jerome

    1978-01-01T23:59:59.000Z

    LAKE FRONT LEASE: AVAILABLE INDEF INI I E ZONED RECREATION FACILITIES: PRIVATE S I'ATE COUNTY-CITY WATER DIST RICT YES NO To aid in understanding how ownership patterns may in reality affect annual attendance, the comparison ot the two... CONTROLLED BUT NOT OWNED LAKE FRONT LEASE: A VAILABLE INDEFINITE ZONED RECREATIO/I FACII ITIES: PRIVATE STATE COUNTY-CITY iJATER DISTRICT X X X X X X X X X X X Braunig reservoir policy does not provide for private access, thus dif Fering...

  1. Cost of Handling Texas Citrus, Fresh and Processed, 1946-47. 

    E-Print Network [OSTI]

    Samuels, J. K. (James Kenneth); Fugett, Kenneth A.

    1949-01-01T23:59:59.000Z

    2 2 23, 95 79 Indirect 1 1 Warehousing & shipping 1 2 2 3 1 2 Total labor 13 11 a- 96 97 82- Other manufacturing cost 30 23 18 22 19 22- 101 Total processing & whse. cost 109 93 187 182 173- Administrative cost 13 1 35 10 128 Selling cost 2... case of 121404 cans of grape- fruit juice, and represented 62 percent of the total cost of processing (Table 10). Cans, cartons and labels are now the most expensive items in processing citrus juices because the cost of these items hasl risen...

  2. MUJERES TOTAL BIOLOGIA 16 27

    E-Print Network [OSTI]

    Autonoma de Madrid, Universidad

    , PLASTICA Y VISUAL 2 2 EDUCACION FISICA, DEPORTE Y MOTRICIDAD HUMANA 1 1 6 11 TOTAL CIENCIAS Nº DE TESIS

  3. MUJERES ( * ) TOTAL BIOLOGA 16 22

    E-Print Network [OSTI]

    Autonoma de Madrid, Universidad

    , DEPORTE Y MOTRICIDAD HUMANA 0 4 TOTAL FORMACIÓN DE PROFESORADO Y EDUCACIÓN 0 6 ANATOMÍA PATOLÓGICA 2 5

  4. Battery Ownership Model: A Tool for Evaluating the Economics of Electrified Vehicles and Related Infrastructure; Preprint

    SciTech Connect (OSTI)

    O'Keefe, M.; Brooker, A.; Johnson, C.; Mendelsohn, M.; Neubauer, J.; Pesaran, A.

    2011-01-01T23:59:59.000Z

    Electric vehicles could significantly reduce greenhouse gas (GHG) emissions and dependence on imported petroleum. However, for mass adoption, EV costs have historically been too high to be competitive with conventional vehicle options due to the high price of batteries, long refuel time, and a lack of charging infrastructure. A number of different technologies and business strategies have been proposed to address some of these cost and utility issues: battery leasing, battery fast-charging stations, battery swap stations, deployment of charge points for opportunity charging, etc. In order to investigate these approaches and compare their merits on a consistent basis, the National Renewable Energy Laboratory (NREL) has developed a new techno-economic model. The model includes nine modules to examine the levelized cost per mile for various types of powertrain and business strategies. The various input parameters such as vehicle type, battery, gasoline, and electricity prices; battery cycle life; driving profile; and infrastructure costs can be varied. In this paper, we discuss the capabilities of the model; describe key modules; give examples of how various assumptions, powertrain configurations, and business strategies impact the cost to the end user; and show the vehicle's levelized cost per mile sensitivity to seven major operational parameters.

  5. The Total RNA Story Introduction

    E-Print Network [OSTI]

    Goldman, Steven A.

    The Total RNA Story Introduction Assessing RNA sample quality as a routine part of the gene about RNA sample quality. Data from a high quality total RNA preparation Although a wide variety RNA data interpretation and identify features from total RNA electropherograms that reveal information

  6. Costs of mixed low-level waste stabilization options

    SciTech Connect (OSTI)

    Schwinkendorf, W.E.; Cooley, C.R.

    1998-03-01T23:59:59.000Z

    Selection of final waste forms to be used for disposal of DOE`s mixed low-level waste (MLLW) depends on the waste form characteristics and total life cycle cost. In this paper the various cost factors associated with production and disposal of the final waste form are discussed and combined to develop life-cycle costs associated with several waste stabilization options. Cost factors used in this paper are based on a series of treatment system studies in which cost and mass balance analyses were performed for several mixed low-level waste treatment systems and various waste stabilization methods including vitrification, grout, phosphate bonded ceramic and polymer. Major cost elements include waste form production, final waste form volume, unit disposal cost, and system availability. Production of grout costs less than the production of a vitrified waste form if each treatment process has equal operating time (availability) each year; however, because of the lower volume of a high temperature slag, certification and handling costs and disposal costs of the final waste form are less. Both the total treatment cost and life cycle costs are higher for a system producing grout than for a system producing high temperature slag, assuming equal system availability. The treatment costs decrease with increasing availability regardless of the waste form produced. If the availability of a system producing grout is sufficiently greater than a system producing slag, then the cost of treatment for the grout system will be less than the cost for the slag system, and the life cycle cost (including disposal) may be less depending on the unit disposal cost. Treatment and disposal costs will determine the return on investment in improved system availability.

  7. Cost Model for Digital Curation: Cost of Digital Migration

    E-Print Network [OSTI]

    Kejser, Ulla Bøgvad; Nielsen, Anders Bo; Thirifays, Alex

    2009-01-01T23:59:59.000Z

    notes that comparisons of cost data remain difficult becausethese resources into cost data, and a description of themigrations), the cost of processing the data may rise

  8. Brush Busters: How to Estimate Costs for Controlling Small Cedar

    E-Print Network [OSTI]

    Ueckert, Darrell; McGinty, Allan

    2001-04-25T23:59:59.000Z

    method. Figure 3 is for the top-removal method). In Figures 1 and 2, the upper graph shows the cost for the spray only. The center graph shows total cost for spray + labor at $6 per hour. The bottom graph shows total cost for spray + labor at $12 per... hour. Figure 3 shows the costs for the top-removal method, with labor at $6 per hour in the upper graph and $12 per hour in the lower graph. ? Locate your average cedar density (the average calculated in Step #1) on the lower, horizontal axis (density...

  9. Cost of Oil Dependence: A 2000 Update

    SciTech Connect (OSTI)

    Greene, D.L.; Tishchishyna, N.I.

    2000-05-01T23:59:59.000Z

    Oil dependence remains a potentially serious economic and strategic problem for the United States. This report updates previous estimates of the costs of oil dependence to the U.S. economy and introduces several methodological enhancements. Estimates of the costs to the U.S. economy of the oil market upheavals of the last 30 years are in the vicinity of $7 trillion, present value 1998 dollars, about as large as the sum total of payments on the national debt over the same period. Simply adding up historical costs in 1998 dollars without converting to present value results in a Base Case cost estimate of $3.4 trillion. Sensitivity analysis indicates that cost estimates are sensitive to key parameters. A lower bound estimate of $1.7 trillion and an upper bound of $7.1 trillion (not present value) indicate that the costs of oil dependence have been large under almost any plausible set of assumptions. These cost estimates do not include military, strategic or political costs associated with U.S. and world dependence on oil imports.

  10. Costs of Oil Dependence: A 2000 Update

    SciTech Connect (OSTI)

    Greene, D.L.

    2000-05-17T23:59:59.000Z

    Oil dependence remains a potentially serious economic and strategic problem for the United States. This report updates previous estimates of the costs of oil dependence to the U.S. economy and introduces several methodological enhancements. Estimates of the costs to the U.S. economy of the oil market upheavals of the last 30 years are in the vicinity of $7 trillion, present value 1998 dollars, about as large as the sum total of payments on the national debt over the same period. Simply adding up historical costs in 1998 dollars without converting to present value results in a Base Case cost estimate of $3.4 trillion. Sensitivity analysis indicates that cost estimates are sensitive to key parameters. A lower bound estimate of $1.7 trillion and an upper bound of $7.1 trillion (not present value) indicate that the costs of oil dependence have been large under almost any plausible set of assumptions. These cost estimates do not include military, strategic or political costs associated with U.S. and world dependence on oil imports.

  11. Updating Texas Energy Cost Containment Audit Reports

    E-Print Network [OSTI]

    Burke, T. E.; Heffington, W. M.

    1989-01-01T23:59:59.000Z

    moneys in a program known as LoanSTAR. Due to the time between the audits and availability of funds, update of the reports for current energy and equipment cost, and for accomplishment of projects was necessary. Audits in 1984 and 1986 identified total...

  12. Cost Estimating Handbook for Environmental Restoration

    SciTech Connect (OSTI)

    NONE

    1990-09-01T23:59:59.000Z

    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.

  13. The cost of agriculturally based greenhouse gas offsets in the Texas High Plains

    E-Print Network [OSTI]

    Chandrasena, Rajapakshage Inoka Ilmi

    2004-09-30T23:59:59.000Z

    as shown in equation (2), (2) ) NR is the net revenue ($ per acre), TR is the total revenue ($ per acre), TVC is the total variable cost ($ per acre), and TFC is the total fixed cost ($ per acre). 21 3.1.2 Calculation of Breakeven Carbon Price (BCP...

  14. Assessing the Costs Attributed to Project Delay Curtis Beaty, P.E.

    E-Print Network [OSTI]

    and Commercial Value of Time Change in Highway Cost Index Total Month of Delay Estimated Return on Investment Cost Index (HCI) (during Delay) 11% 29% 3% Travel-Related Variables Length of Project 2.7 2.6 1 Impacts 8.0% 8.0% 8.0% Examples of Cost of Construction Delay #12;Monthly Cost of Project Delay Small

  15. Pension costs and liabilities

    E-Print Network [OSTI]

    Courtney, Harley Macon

    1961-01-01T23:59:59.000Z

    be to charge the cost over the current and subsequent years on the assumption that the cost, even though measured by past services, is incurred in contemplation of present and future 1 services. 1'he development of accounting thought concerning retire...? present liabilities are under- stated and owner's equity is overstated by a corresponding amount. It seems, however, that charging retained earnings with the past service cost does not, represent the true picture. Pension payments based solely on past...

  16. INDEPENDENT COST REVIEW (ICR)

    Energy Savers [EERE]

    experience - as needed - in project management, scheduling, cost estimatingcost engineering, risk management, as well as subject matter experts (SMEs) with knowledge of...

  17. Target Cost Management Strategy

    E-Print Network [OSTI]

    Okano, Hiroshi

    1996-01-01T23:59:59.000Z

    Target cost management (TCM) is an innovation of Japanese management accounting system and by common sense has been considered with great interest by practitioners. Nowadays, TCM related

  18. Total..........................................................

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

    Q 0.4 3 or More Units... 5.4 0.3 Q Q Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  19. Total..........................................................

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

    ... 1.9 1.1 Q Q 0.3 Q Do Not Use Central Air-Conditioning... 45.2 24.6 3.6 5.0 8.8 3.2 Use a Programmable...

  20. Total..........................................................

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

    Q 0.6 3 or More Units... 5.4 3.8 2.9 0.4 Q N 0.2 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  1. Total..........................................................

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

    1.3 Q 3 or More Units... 5.4 1.6 0.8 Q 0.3 0.3 Q Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  2. Total..........................................................

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

    3 or More Units... 5.4 2.4 1.4 0.7 0.9 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  3. Total..........................................................

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

    3 or More Units... 5.4 2.3 1.7 0.6 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  4. Total..........................................................

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

    8.6 Have Equipment But Do Not Use it... 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System......

  5. Total..........................................................

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

    3 or More Units... 5.4 2.1 0.9 0.2 1.0 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  6. Total..........................................................

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

    30.3 Have Equipment But Do Not Use it... 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System......

  7. Total..........................................................

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

    0.3 3 or More Units... 5.4 0.7 0.5 Q Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  8. Total..........................................................

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

    3 or More Units... 5.4 2.3 0.7 2.1 0.3 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  9. Total..........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......

  10. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......

  11. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    Personal Computers Do Not Use a Personal Computer... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer... 75.6...

  12. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer... 35.5 8.1 5.6 2.5 Use a Personal Computer......

  13. Total..........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer... 35.5 6.4 2.2 4.2 Use a Personal Computer......

  14. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer......

  15. Total..........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......

  16. Total..........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    1.3 0.8 0.5 Once a Day... 19.2 4.6 3.0 1.6 Between Once a Day and Once a Week... 32.0 8.9 6.3 2.6 Once a...

  17. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    AppliancesTools.... 56.2 11.6 3.3 8.2 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 0.2 Q 0.1 Hot Tub or Spa......

  18. Total..........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Tools... 56.2 20.5 10.8 3.6 6.1 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 N N N N Hot Tub or Spa......

  19. Total..........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Tools... 56.2 27.2 10.6 9.3 9.2 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 Q Q Q 0.4 Hot Tub or Spa......

  20. Total..........................................................

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

    AppliancesTools.... 56.2 12.2 9.4 2.8 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 Q Q Q Hot Tub or Spa......

  1. Total..........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    1.3 3.8 Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for Federal Assistance 1 40,000 to 59,999 60,000 to 79,999 80,000...

  2. Total..............................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6 2,720

  3. Total................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6 2,720..

  4. Total........................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6 2,720..

  5. Total..........................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6

  6. Total...........................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6Q Table

  7. Total...........................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6Q TableQ

  8. Total...........................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6Q

  9. Total...........................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6Q26.7

  10. Total............................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1

  11. Total............................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1

  12. Total.............................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.7 28.8 20.6

  13. Total..............................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.7 28.8

  14. Total..............................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.7 28.8,171

  15. Total...............................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.7

  16. Total...............................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.70.7 21.7

  17. Total...............................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.70.7

  18. Total...............................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.70.747.1

  19. Total...............................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.70.747.1Do

  20. Total................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.70.747.1Do

  1. Total.................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.

  2. Total.................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4 12.5 12.5

  3. Total.................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4 12.5

  4. Total..................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4 12.578.1

  5. Total..................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4

  6. Total..................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4. 111.1 14.7

  7. Total...................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4. 111.1

  8. Total...................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4. 111.115.2

  9. Total...................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4.

  10. Total...................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7

  11. Total...................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,033 1,618

  12. Total....................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,033 1,61814.7

  13. Total.......................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,033

  14. Total.......................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.6 17.7

  15. Total.......................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.6 17.74.2

  16. Total........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.6

  17. Total........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.615.1 5.5

  18. Total........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.615.1

  19. Total........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.615.10.7

  20. Total........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:

  1. Total........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not Have

  2. Total........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not Have7.1

  3. Total.........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not

  4. Total..........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not25.6 40.7

  5. Total..........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not25.6

  6. Total..........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not25.65.6

  7. Total..........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do

  8. Total..........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.2 7.6 16.6

  9. Total..........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.2 7.6

  10. Total..........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.2 7.67.1

  11. Total...........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.2 7.67.10.6

  12. Total...........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.2

  13. Total...........................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.24.2 7.6

  14. Total.............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.24.2

  15. Total.............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.24.2Cooking

  16. Total.............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1

  17. Total.............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do Not Have

  18. Total.............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do Not HaveDo

  19. Total.............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do Not HaveDoDo

  20. Total.............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do Not

  1. Total.............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo Not

  2. Total..............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo Not

  3. Total..............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo Not20.6

  4. Total..............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo

  5. Total..............................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo7.1 19.0

  6. Total.................................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo7.1

  7. Total.................................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo7.1...

  8. Total....................................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do

  9. Total....................................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1DoCooking

  10. Total....................................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1DoCooking25.6

  11. Total....................................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1DoCooking25.65.6

  12. Total....................................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0

  13. Total....................................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.04.2 7.6 16.6 Personal

  14. Total....................................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.04.2 7.6 16.6 Personal

  15. Total.........................................................................................

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.04.2 7.6 16.6

  16. Total

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear Jan Feb Mar Apr May(MillionFeet)July 23,

  17. Total

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear Jan Feb Mar Apr May(MillionFeet)July 23,Product:

  18. Total..............................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720 1,970

  19. Total................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720

  20. Total........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720 111.1

  1. Total..........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720

  2. Total...........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720Q Table

  3. Total...........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720Q

  4. Total...........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720Q14.7

  5. Total...........................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6

  6. Total............................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1

  7. Total............................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1

  8. Total.............................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.8 20.6

  9. Total..............................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.8 20.6,171

  10. Total..............................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.8

  11. Total...............................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.820.6 25.6

  12. Total...............................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.820.6

  13. Total...............................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.820.626.7

  14. Total...............................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7

  15. Total...............................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.1 19.0 22.7

  16. Total................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.1 19.0 22.7

  17. Total.................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.1 19.0

  18. Total.................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.1 19.014.7

  19. Total.................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.1

  20. Total..................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.178.1 64.1

  1. Total..................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.178.1

  2. Total..................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.178.1.

  3. Total...................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770

  4. Total...................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.2 3.3 1.9

  5. Total...................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.2 3.3

  6. Total...................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.2 3.3Type

  7. Total...................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.2

  8. Total....................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.214.7 7.4

  9. Total.......................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.214.7

  10. Total.......................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.214.75.6

  11. Total.......................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0

  12. Total........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.025.6 40.7

  13. Total........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.025.6

  14. Total........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.025.65.6 17.7

  15. Total........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.025.65.6

  16. Total........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.025.65.64.2

  17. Total........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8

  18. Total........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1 19.0 22.7

  19. Total.........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1 19.0

  20. Total..........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1 19.025.6

  1. Total..........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1 19.025.6.

  2. Total..........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1 19.025.6.5.6

  3. Total..........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1

  4. Total..........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.2 7.6 16.6

  5. Total..........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.2 7.6

  6. Total..........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.2 7.67.1

  7. Total...........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.2 7.67.10.6

  8. Total...........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.2

  9. Total...........................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.24.2 7.6

  10. Total.............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.24.2 7.6Do

  11. Total.............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.24.2

  12. Total.............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.24.2Cooking

  13. Total.............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2

  14. Total.............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not Have Cooling

  15. Total.............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not Have

  16. Total.............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo Not

  17. Total.............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo NotDo

  18. Total..............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo

  19. Total..............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo0.7

  20. Total..............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo0.7

  1. Total..............................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo0.77.1

  2. Total.................................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not

  3. Total.................................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1 7.0 8.0

  4. Total....................................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1 7.0

  5. Total....................................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1 7.05.6

  6. Total....................................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1

  7. Total....................................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1Personal

  8. Total....................................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1Personal4.2

  9. Total....................................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do

  10. Total....................................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do 111.1 47.1 19.0

  11. Total.........................................................................................

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do 111.1 47.1

  12. Utilizing Mobility to Minimize the Total Communication and Motion Energy

    E-Print Network [OSTI]

    Mostofi, Yasamin

    Utilizing Mobility to Minimize the Total Communication and Motion Energy Consumption of a Robotic costs. However, simplified path loss models are utilized to model the communication channels. In Yan Operation Yuan Yan and Yasamin Mostofi Department of Electrical and Computer Engineering University

  13. OGJ300; Smaller list, bigger financial totals

    SciTech Connect (OSTI)

    Beck, R.J.; Biggs, J.B.

    1991-09-30T23:59:59.000Z

    This paper reports on Oil and Gas Journal's list of the largest, publicly traded oil and gas producing companies in the U.S. which is both smaller and larger this year than it was in 1990. It's smaller because it covers fewer companies. Industry consolidation has slashed the number of public companies. As a result, the former OGJ400 has become the OGJ300, which includes the 30 largest limited partnerships. But the assets-ranked list is larger because important financial totals - representing 1990 results - are significantly higher than those of a year ago, despite the lower number of companies. Consolidation of the U.S. producing industry gained momentum throughout the 1980s. Unable to sustain profitability in a period of sluggish energy prices and, for many, rising costs, companies sought relief through mergers or liquidation of producing properties. As this year's list shows, however, surviving companies have managed to grow. Assets for the OGJ300 group totaled $499.3 billion in 1990 - up 6.3% from the 1989 total of last year's OGJ400. Stockholders' equity moved up 5.3% to $170.7 billion. Stockholders' equity was as high as $233.8 billion in 1983.

  14. External Costs of Transport in the U.S.

    E-Print Network [OSTI]

    Delucchi, Mark A.; McCubbin, Donald R.

    2010-01-01T23:59:59.000Z

    oil is 58.6% of total oil demand, which results in $1.20 toof regional oil supply and demand. Wealth transfer cost.oil. Leiby (2007) also estimates “monopsony” or demand-

  15. On Perimeter Coverage in Wireless Sensor Networks with Minimum Cost

    E-Print Network [OSTI]

    Tam, Vincent W. L.

    , and asset tracking [1], [2]. In monitoring applications, small battery-powered sensor nodes are deployed of the white house so as to ensure its security. Each sensor is associated with a cost. To reduce the total

  16. The Effect of Dividends Tax and Tax Integration on Stock Ownership and Expected Returns: Evidence from

    E-Print Network [OSTI]

    Lin, Xiaodong

    can shed light on fundamental issues such as the cost of equity capital and the optimal dividend and firm value. Taiwanese individual-shareholder shareholding data allows us to estimate the weighted the traditional view of dividend tax capitalization effect and the implications of the role of marginal investors

  17. Costs Associated With Compressed Natural Gas Vehicle Fueling Infrastructure

    SciTech Connect (OSTI)

    Smith, M.; Gonzales, J.

    2014-09-01T23:59:59.000Z

    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.

  18. Waste management facilities cost information for hazardous waste. Revision 1

    SciTech Connect (OSTI)

    Shropshire, D.; Sherick, M.; Biagi, C.

    1995-06-01T23:59:59.000Z

    This report contains preconceptual designs and planning level life-cycle cost estimates for managing hazardous waste. The report`s information on treatment, storage, and disposal modules can be integrated to develop total life-cycle costs for various waste management options. A procedure to guide the US Department of Energy and its contractor personnel in the use of cost estimation data is also summarized in this report.

  19. Decommissioning Unit Cost Data

    SciTech Connect (OSTI)

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

    2002-02-26T23:59:59.000Z

    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 decommissioning at other facilities with similar equipment and labor costs. It also provides techniques for extracting information from limited data using extrapolation and interpolation techniques.

  20. Hydrogen Refueling Station Costs in Shanghai

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Shaojun, Liu; Ogden, Joan M; Jianxin, Ma

    2006-01-01T23:59:59.000Z

    identify particularly useful cost data and cost models thatcontaining hydrogen cost data for production, storage,Volume Validates cost data with Industry Operating Costs

  1. Structural Models and Endogeneity in Corporate Finance: The Link Between Managerial Ownership and Corporate Performance

    E-Print Network [OSTI]

    Coles, Jeffrey L.; Lemmon, Michael L.; Meschke, Felix

    2012-01-01T23:59:59.000Z

    ).7 Sales average $4,268 million and range from $0.394 million to $206,083 million (Exxon Mobil in 2000). Leverage averages 0.188, and the mean values of R&D and advertising expense scaled by total assets are 0.031 and 0.011, respectively. Finally..., z, and investment, y.4 Shareholders maximize expected total surplus }2 )()]([{})]([]{[ 222~~~ mgImrfmEIfEfES x ???++??= ???? (6) subject to the reservation utility constraint that ~ 2 2 2 2 2 2( ) ( )[ ] 2 2 x y z xr m r mm E f I g m pI g I g...

  2. Totally Corrective Boosting with Cardinality Penalization

    E-Print Network [OSTI]

    Vasil S. Denchev; Nan Ding; Shin Matsushima; S. V. N. Vishwanathan; Hartmut Neven

    2015-04-07T23:59:59.000Z

    We propose a totally corrective boosting algorithm with explicit cardinality regularization. The resulting combinatorial optimization problems are not known to be efficiently solvable with existing classical methods, but emerging quantum optimization technology gives hope for achieving sparser models in practice. In order to demonstrate the utility of our algorithm, we use a distributed classical heuristic optimizer as a stand-in for quantum hardware. Even though this evaluation methodology incurs large time and resource costs on classical computing machinery, it allows us to gauge the potential gains in generalization performance and sparsity of the resulting boosted ensembles. Our experimental results on public data sets commonly used for benchmarking of boosting algorithms decidedly demonstrate the existence of such advantages. If actual quantum optimization were to be used with this algorithm in the future, we would expect equivalent or superior results at much smaller time and energy costs during training. Moreover, studying cardinality-penalized boosting also sheds light on why unregularized boosting algorithms with early stopping often yield better results than their counterparts with explicit convex regularization: Early stopping performs suboptimal cardinality regularization. The results that we present here indicate it is beneficial to explicitly solve the combinatorial problem still left open at early termination.

  3. DOE Publishes CALiPER Report on Cost-Effectiveness of Linear...

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

    LED lamps. Report 21.3 details a set of life-cycle cost simulations that compared a two-lamp troffer using LED lamps (38W total power draw) or fluorescent lamps (51W total power...

  4. Benchmarking Non-Hardware Balance-of-System (Soft) Costs for U.S. Photovoltaic Systems Using a Bottom-Up Approach and Installer Survey

    E-Print Network [OSTI]

    Ardani, Kristen

    2014-01-01T23:59:59.000Z

    Non-Hardware Balance-of-System (Soft) Costs for U.S.Non-Hardware Balance-of-System (Soft) Costs for U.S.equivalent to 45% of total system soft costs ($3.32/W) and

  5. An Analysis of the Economic and Financial Life-Cycle Costs of Reverse-Osmosis Desalination in South Texas: A Case Study of the Southmost Facility 

    E-Print Network [OSTI]

    Sturdivant, A.; Rister, M.; Rogers, C.; Lacewell, R.; Norris, J.; Leal, J.; Garza, J.; Adams, J.

    2009-01-01T23:59:59.000Z

    to include sensitivity analyses of useful life, initial construction costs, annual energy costs, and production efficiency rate, amongst others. The current estimated total annual life-cycle costs (in 2006 dollars) to produce and deliver desalinated water...

  6. Cost Estimating Guide

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

    2011-05-09T23:59:59.000Z

    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.

  7. Estimating Renewable Energy Costs

    Broader source: Energy.gov [DOE]

    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...

  8. Investments of uncertain cost

    E-Print Network [OSTI]

    Pindyck, Robert S.

    1992-01-01T23:59:59.000Z

    I study irreversible investment decisions when projects take time to complete, and are subject to two types of uncertainty over the cost of completion. The first is technical uncertainty, i.e., uncertainty over the amount ...

  9. Standard costs for labor

    E-Print Network [OSTI]

    Khan, Mohammed Nurul Absar

    1960-01-01T23:59:59.000Z

    STANDARD COSTS FOR LABOR A Thesis By MD. NURUL ABSAR KHAN Submitted to the Graduate School of the Agricultural and Mechanical College of Texms in partial fulfillment of the requirements for the degree of MASTER OF BUSINESS ADMINISTRATION... January 1960 Ma/or Sub)acts Accounting STANOAHD COSTS FOR LABOR ND, NURUL ABSAR KHAN Approved as t style and content bys Chairman of Committee Head of Hepartment January 1960 The author acknowledges his indebtedness to Mr. T. M. Leland, Mr. T. D...

  10. Binghamton University offers this worksheet to help you compare costs and financial aid offers and calculate the bottom line. Since financial aid offers can vary greatly from school to school, it is recommended that you review them carefully, ask

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    Must be repaid Binghamton University offers this worksheet to help you compare costs and financial is for 1, 2, 3 or 4 years. + + + Fees + + + Room & Board (Housing & Meals) + + + A. ESTIMATED COST (as.TOTALSTUDENTLOANS = = = A. TOTAL COST OF ATTENDANCE = TOTAL OUT-OF-POCKET COSTS = $ $ $ D. TOTAL FINANCIAL AID OFFER

  11. Cost Model for Digital Curation: Cost of Digital Migration

    E-Print Network [OSTI]

    Kejser, Ulla Bøgvad; Nielsen, Anders Bo; Thirifays, Alex

    2009-01-01T23:59:59.000Z

    and Monitor Technology functions each consists of two costinfluence, the fewer costs. Monitor Technology depends onCost Critical Activities Monitor community Report on monitoring Monitor technology

  12. SLA-based Optimization of Power and Migration Cost in Cloud Computing Hadi Goudarzi, Mohammad Ghasemazar and Massoud Pedram

    E-Print Network [OSTI]

    Pedram, Massoud

    the total energy cost of cloud computing system while meeting the specified client-level SLAs, and infrastructure-independent computing are examples of motivations of such systems. Electrical energy cost the system. These constraints result in a basic trade-off between the total energy cost and client

  13. MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT

    SciTech Connect (OSTI)

    R.E. Sweeney

    2001-02-08T23:59:59.000Z

    The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost (LCC) estimate and schedule update incorporating information from the Viability Assessment (VA) , License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

  14. Factors Impacting Decommissioning Costs - 13576

    SciTech Connect (OSTI)

    Kim, Karen; McGrath, Richard [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)] [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)

    2013-07-01T23:59:59.000Z

    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)

  15. Mandatory Photovoltaic System Cost Analysis

    Broader source: Energy.gov [DOE]

    The Arizona Corporation Commission requires electric utilities to conduct a cost/benefit analysis to compare the cost of line extension with the cost of installing a stand-alone photovoltaic (PV)...

  16. Reported Energy and Cost Savings from the DOE ESPC Program

    SciTech Connect (OSTI)

    Shonder, John A [ORNL; Slattery, Bob S [ORNL; Atkin, Erica [ORNL

    2012-01-01T23:59:59.000Z

    The objective of this work was to determine the realization rate of energy and cost savings from the Department of Energy's Savings Performance Contract (ESPC) program based on information reported by the energy services companies (ESCOs) that are carrying out ESPC projects at federal sites. Information was extracted from 134 Measurement and Verification (M&V) reports to determine reported, estimated, and guaranteed cost savings and reported and estimated energy savings for the previous contract year. Because the quality of the reports varied, it was not possible to determine all of these parameters for each project. For 133 of the 134 projects, there was sufficient information to compare estimated, reported, and guaranteed cost savings. For this group, the total estimated cost savings for the reporting periods addressed were $95.7 million, total reported cost savings were $96.8 million, and total guaranteed cost savings were $92.1 million. This means that on average: ESPC contractors guaranteed 96% of the estimated cost savings, projects reported achieving 101% of the estimated cost savings, and projects reported achieving 105% of the guaranteed cost savings. For 129 of the projects examined, there was sufficient information to compare estimated and reported energy savings. On the basis of site energy, estimated savings for those projects for the previous year totaled 5.371 million MMBtu, and reported savings were 5.374 million MMBtu, just over 100% of the estimated energy savings. On the basis of source energy, total estimated energy savings for the 129 projects were 10.400 million MMBtu, and reported saving were 10.405 million MMBtu, again, just over 100.0% of the estimated energy savings.

  17. Advances in total scattering analysis

    SciTech Connect (OSTI)

    Proffen, Thomas E [Los Alamos National Laboratory; Kim, Hyunjeong [Los Alamos National Laboratory

    2008-01-01T23:59:59.000Z

    In recent years the analysis of the total scattering pattern has become an invaluable tool to study disordered crystalline and nanocrystalline materials. Traditional crystallographic structure determination is based on Bragg intensities and yields the long range average atomic structure. By including diffuse scattering into the analysis, the local and medium range atomic structure can be unravelled. Here we give an overview of recent experimental advances, using X-rays as well as neutron scattering as well as current trends in modelling of total scattering data.

  18. Total Imports of Residual Fuel

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"YearProductionShaleInput Product: TotalCountry:

  19. OPTIONS - ALLOCATION FUNDS - TRANSACTION COSTS

    E-Print Network [OSTI]

    Admin

    2009-03-25T23:59:59.000Z

    One first problem to overcome is the impact of transaction costs. ... They entail a reduction of transaction costs and improve the investor's economic welfare.

  20. Optimization Online - Sharing Supermodular Costs

    E-Print Network [OSTI]

    Andreas S. Schulz

    2007-08-28T23:59:59.000Z

    Aug 28, 2007 ... Abstract: We study cooperative games with supermodular costs. We show that supermodular costs arise in a variety of situations: in particular, ...

  1. Price/Cost Proposal Form

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

    PREPARATION INSTRUCTIONS PriceCost Proposal: Provide complete, current, and accurate cost or pricing data in accordance with Federal and Department of Energy Acquisition...

  2. Page (Total 3) Philadelphia University

    E-Print Network [OSTI]

    Page (Total 3) Philadelphia University Faculty of Science Department of Biotechnology and Genetic be used in animals or plants. It can be also used in environmental monitoring, food processing ...etc are developed and marketed in kit format by biotechnology companies. The main source of information is web sites

  3. U.S. Department of Energy Hydrogen Storage Cost Analysis

    SciTech Connect (OSTI)

    Law, Karen; Rosenfeld, Jeffrey; Han, Vickie; Chan, Michael; Chiang, Helena; Leonard, Jon

    2013-03-11T23:59:59.000Z

    The overall objective of this project is to conduct cost analyses and estimate costs for on- and off-board hydrogen storage technologies under development by the U.S. Department of Energy (DOE) on a consistent, independent basis. This can help guide DOE and stakeholders toward the most-promising research, development and commercialization pathways for hydrogen-fueled vehicles. A specific focus of the project is to estimate hydrogen storage system cost in high-volume production scenarios relative to the DOE target that was in place when this cost analysis was initiated. This report and its results reflect work conducted by TIAX between 2004 and 2012, including recent refinements and updates. The report provides a system-level evaluation of costs and performance for four broad categories of on-board hydrogen storage: (1) reversible on-board metal hydrides (e.g., magnesium hydride, sodium alanate); (2) regenerable off-board chemical hydrogen storage materials(e.g., hydrolysis of sodium borohydride, ammonia borane); (3) high surface area sorbents (e.g., carbon-based materials); and 4) advanced physical storage (e.g., 700-bar compressed, cryo-compressed and liquid hydrogen). Additionally, the off-board efficiency and processing costs of several hydrogen storage systems were evaluated and reported, including: (1) liquid carrier, (2) sodium borohydride, (3) ammonia borane, and (4) magnesium hydride. TIAX applied a â��bottom-upâ� costing methodology customized to analyze and quantify the processes used in the manufacture of hydrogen storage systems. This methodology, used in conjunction with DFMA�® software and other tools, developed costs for all major tank components, balance-of-tank, tank assembly, and system assembly. Based on this methodology, the figure below shows the projected on-board high-volume factory costs of the various analyzed hydrogen storage systems, as designed. Reductions in the key cost drivers may bring hydrogen storage system costs closer to this DOE target. In general, tank costs are the largest component of system cost, responsible for at least 30 percent of total system cost, in all but two of the 12 systems. Purchased BOP cost also drives system cost, accounting for 10 to 50 percent of total system cost across the various storage systems. Potential improvements in these cost drivers for all storage systems may come from new manufacturing processes and higher production volumes for BOP components. In addition, advances in the production of storage media may help drive down overall costs for the sodium alanate, SBH, LCH2, MOF, and AX-21 systems.

  4. Low Cost, Durable Seal

    SciTech Connect (OSTI)

    Roberts, George; Parsons, Jason; Friedman, Jake

    2010-12-17T23:59:59.000Z

    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.

  5. Cost Type Examples Salary costs for staff working

    E-Print Network [OSTI]

    Rambaut, Andrew

    . Equipment access charges Service contracts, running costs, materials and consumables and staff time

  6. Green HPC : a system design approach to energy-efficient datacenters

    E-Print Network [OSTI]

    Keville, Kurt (Kurt Lawrence)

    2011-01-01T23:59:59.000Z

    Green HPC is the new standard for High Performance Computing (HPC). This has now become the primary interest among HPC researchers because of a renewed emphasis on Total Cost of Ownership (TCO) and the pursuit of higher ...

  7. The HMIS HIP Portfolio: Bridging Computing and Global Health

    E-Print Network [OSTI]

    Anderson, Richard

    , "SDLC" software development life cycle, "OS" operating systems, "TCO" total cost of ownership. Deploy Interfaces Standards SDLC* Dev Tools Data base OS* Network Road map User Training Migration plan

  8. Buildings","Total

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J 9Decade Year-0Overview FullL1.

  9. Buildings","Total

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J 9Decade Year-0Overview FullL1.L2.

  10. Buildings","Total

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J 9Decade Year-0Overview FullL1.L2.L3.

  11. Total Eolica | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin Baxin Hydropower Station JumpOpenEI Community Cost Per MwH

  12. FACILITIES AND ADMINISTRATIVE (F&A) COST AND IDC RATES The cost of conducting research consists of two broad types of costs direct costs and facilities and

    E-Print Network [OSTI]

    Keinan, Alon

    FACILITIES AND ADMINISTRATIVE (F&A) COST AND IDC RATES The cost of conducting research consists of two broad types of costs ­ direct costs and facilities and administrative costs (F&A), also known as indirect costs. Direct

  13. Dynamic of car ownership and car use in France since the 1960s ROUX, Sophie; ARMOOGUM, Jimmy; MADRE, Jean-Loup

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Dynamic of car ownership and car use in France since the 1960s ROUX, Sophie; ARMOOGUM, Jimmy; MADRE.roux@inrets.fr ARMOOGUM Jimmy Institut national de recherche sur les transports et leur sécurité (INRETS) Département-le-Grand cedex Tel : +33 (0)1.45.92.55.79 jimmy.armoogum@inrets.fr MADRE Jean-Loup Institut national de recherche

  14. 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 (Advanced Thermal Systems, Larkspur, CO); Kolb, Gregory J.; Donnelly, Matthew W.

    2007-06-01T23:59:59.000Z

    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.

  15. Transaction Costs, Information Technology and Development

    E-Print Network [OSTI]

    Singh, Nirvikar

    2004-01-01T23:59:59.000Z

    Transaction Costs, Information Technology and Development 1.Transaction Costs, Information Technology and DevelopmentTransaction Costs, Information Technology and Development *

  16. Transaction Costs, Information Technology and Development

    E-Print Network [OSTI]

    Singh, Nirvikar

    2004-01-01T23:59:59.000Z

    Transaction Costs, Information Technology and Development 1.Transaction Costs, Information Technology and DevelopmentTransaction Costs, Information Technology and Development

  17. Allocable costs What are they?

    E-Print Network [OSTI]

    Massachusetts at Lowell, University of

    Allocable costs What are they? The A-21 circular definition: a. A cost is allocable to a particular cost objective (i.e., a specific function, project, sponsored agreement, department, or the like) if the goods or services involved are chargeable or assignable to such cost objective in accordance

  18. The Costs and Revenues of

    E-Print Network [OSTI]

    The Costs and Revenues of Transformation to Continuous Cover Forestry Owen Davies & Gary Kerr March 2011 #12;2 | Costs and Revenues of CCF | Owen Davies & Gary Kerr | March 2011 Costs and Revenues of CCF The costs and revenues of transformation to continuous cover forestry: Modelling silvicultural options

  19. Construction Cost March 6, 2007

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    ...................................................................................................................................... 14 3.3 UMass Historical Cost Trends-- John Mathews, P.E., MPA, UMass Amherst............. 17 4 PartConstruction Cost Symposium March 6, 2007 University of Massachusetts Amherst #12;Construction Cost .......................................................... 22 4.3.2 The need for summer construction schedules and the impact on project cost......... 23 4

  20. Costs, Culture, and Complexity: An Analysis of Technology Enhancements in a Large Lecture Course at UC Berkeley

    E-Print Network [OSTI]

    2003-01-01T23:59:59.000Z

    $ 68,731 total. Table 5: Development/Revision Costs ActivityWhile Table 5 presents development/revision costs thatof development/revision activities, which appear in Table 5,

  1. Cost Estimating, Analysis, and Standardization

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

    1984-11-02T23:59:59.000Z

    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

  2. Total Adjusted Sales of Kerosene

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear Jan Feb Mar Apr May(MillionFeet)JulyEnd Use: Total

  3. U.S. Total Exports

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009 2010(Billion

  4. U.S. Total Exports

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009 2010(Billion120,814 136,932

  5. U.S. Total Imports

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009 2010(Billion120,814

  6. U.S. Total Imports

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009 2010(Billion120,814Pipeline

  7. U.S. Total Stocks

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009Feet)

  8. 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.

    1981-08-01T23:59:59.000Z

    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)

  9. Lower Cost Energy Options

    E-Print Network [OSTI]

    Maze, M. E.

    the last f1ve years we have saved over $177 m11110n. 0= o u.vncGS AlIOTT DOMUTtC ENERGY COST & SAVINGS 11(000) uxm llOOOO lDXD ""'"lIXlIl ,..,.., 6CIlOll DlOO :om om a L--=.lLol.uLJULl:LJJU11.Lil:Ll..L<.LLLJ..lLo 7374.75'71i771BNlIJ nAIl F...

  10. Controlling landfill closure costs

    SciTech Connect (OSTI)

    Millspaugh, M.P.; Ammerman, T.A. [Spectra Engineering, Latham, NY (United States)

    1995-05-01T23:59:59.000Z

    Landfill closure projects are significant undertakings typically costing well over $100,000/acre. Innovative designs, use of alternative grading and cover materials, and strong project management will substantially reduce the financial impact of a landfill closure project. This paper examines and evaluates the various elements of landfill closure projects and presents various measures which can be employed to reduce costs. Control measures evaluated include: the beneficial utilization of alternative materials such as coal ash, cement kiln dust, paper mill by-product, construction surplus soils, construction debris, and waste water treatment sludge; the appropriate application of Mandate Relief Variances to municipal landfill closures for reduced cover system requirements and reduced long-term post closure monitoring requirements; equivalent design opportunities; procurement of consulting and contractor services to maximize project value; long-term monitoring strategies; and grant loan programs. An analysis of closure costs under differing assumed closure designs based upon recently obtained bid data in New York State, is also provided as a means for presenting the potential savings which can be realized.

  11. Driving Down HB-LED Costs: Implementation of Process Simulation Tools and Temperature Control Methods of High Yield MOCVD Growth

    SciTech Connect (OSTI)

    William Quinn

    2012-04-30T23:59:59.000Z

    The overall objective of this multi-faceted program is to develop epitaxial growth systems that meet a goal of 75% (4X) cost reduction in the epitaxy phase of HB-LED manufacture. A 75% reduction in yielded epitaxy cost is necessary in order to achieve the cost goals for widespread penetration of HB-LEDâ??s into back-lighting units (BLU) for LCD panels and ultimately for solid-state lighting (SSL). To do this, the program will address significant improvements in overall equipment Cost of Ownership, or CoO. CoO is a model that includes all costs associated with the epitaxy portion of production. These aspects include cost of yield, capital cost, operational costs, and maintenance costs. We divide the program into three phases where later phases will incorporate the gains of prior phases. Phase one activities are enabling technologies. In collaboration with Sandia National Laboratories we develop a Fluent-compatible chemistry predictive model and a set of mid-infrared and near-ultraviolet pyrometer monitoring tools. Where previously the modeling of the reactor dynamics were studied within FLUENT alone, here, FLUENT and Chemkin are integrated into a comprehensive model of fluid dynamics and the most advanced transport equations developed for Chemkin. Specifically, the Chemkin model offered the key reaction terms for gas-phase nucleation, a key consideration in the optimization of the MOCVD process. This new predictive model is used to design new MOCVD reactors with optimized growth conditions and the newly developed pyrometers are used monitor and control the MOCVD process temperature to within 0.5°C run-to-run and within each wafer. This portion of the grant is in collaboration with partners at Sandia National Laboratories. Phase two activities are continuous improvement projects which extend the current reactor platform along the lines of improved operational efficiency, improved systems control for throughput, and carrier modifications for increased yield. Programmatically, improvements made in Phase I are applied to developments of Phase II when applicable. Phase three is the culmination of the individual tasks from both phases one and two applied to proposed production platforms. We selectively combine previously demonstrated tasks and other options to develop a high-volume production-worthy MOCVD system demonstrating >3x throughput, 1.3x capital efficiency, and 0.7x cost of ownership. In a parallel demonstration we validate the concept of an improved, larger deposition system which utilizes the predictive modeling of chemistry-based flow analysis and extensions of the improvements demonstrated on the current platforms. This validation includes the build and testing of a prototype version of the hardware and demonstration of 69% reduction in the cost of ownership. Also, in this phase we present a stand-alone project to develop a high-temperature system which improves source efficiency by 30% while concurrently increasing growth rate by 1.3x. The material quality is held to the same material quality specifications of our existing baseline processes. The merits of other line item tasks in phase three are discussed for inclusion on next-generation platforms.

  12. Fuel cycle cost study with HEU and LEU fuels

    SciTech Connect (OSTI)

    Matos, J.E.; Freese, K.E.

    1984-01-01T23:59:59.000Z

    Fuel cycle costs are compared for a range of /sup 235/U loadings with HEU and LEU fuels using the IAEA generic 10 MW reactor as an example. If LEU silicide fuels are successfully demonstrated and licensed, the results indicate that total fuel cycle costs can be about the same or lower than those with the HEU fuels that are currently used in most research reactors.

  13. Electric Demand Cost Versus Labor Cost: A Case Study

    E-Print Network [OSTI]

    Agrawal, S.; Jensen, R.

    Electric Utility companies charge industrial clients for two things: demand and usage. Depending on type of business and hours operation, demand cost could be very high. Most of the operations scheduling in a plant is achieved considering labor cost...

  14. Electric Demand Cost Versus Labor Cost: A Case Study 

    E-Print Network [OSTI]

    Agrawal, S.; Jensen, R.

    1998-01-01T23:59:59.000Z

    ELEcrRIC DEMAND COST Versus LABOR COST: A CASE STUDY Sanjay Agrawal Richard Jensen Assistant Director Director Industrial Assessment Center Department of Engineering Hofstra University, Hempstead, NY 11549 ABSTRAcr Electric Utility companies...

  15. LIFE Cost of Electricity, Capital and Operating Costs

    SciTech Connect (OSTI)

    Anklam, T

    2011-04-14T23:59:59.000Z

    Successful commercialization of fusion energy requires economic viability as well as technical and scientific feasibility. To assess economic viability, we have conducted a pre-conceptual level evaluation of LIFE economics. Unit costs are estimated from a combination of bottom-up costs estimates, working with representative vendors, and scaled results from previous studies of fission and fusion plants. An integrated process model of a LIFE power plant was developed to integrate and optimize unit costs and calculate top level metrics such as cost of electricity and power plant capital cost. The scope of this activity was the entire power plant site. Separately, a development program to deliver the required specialized equipment has been assembled. Results show that LIFE power plant cost of electricity and plant capital cost compare favorably to estimates for new-build LWR's, coal and gas - particularly if indicative costs of carbon capture and sequestration are accounted for.

  16. Utility Cost Analysis

    E-Print Network [OSTI]

    Horn, S.

    1984-01-01T23:59:59.000Z

    W Computere 6 Computer HVAC Computers Liebert Unite CRT's Subtotal WAC System VAV AHU' s TABLE 3: OPERATING kW BY SEASON Computers 6 Computer WAC Comput err Liebert Unitr CRT'B Sub total HVAC System VAV AHU's AHU1# Pumps Chillerr Subtotal...

  17. Electronic copy available at: http://ssrn.com/abstract=2065816 Ultimate Ownership Structure and Bank Regulatory Capital Adjustment

    E-Print Network [OSTI]

    Boyer, Edmond

    their capital structure (debt/equity), firms in general and banks more specifically take control dilution costs into consideration, beyond the asymmetric information and transaction costs considered in prior research on capital and Bank Regulatory Capital Adjustment: Evidence from European Commercial Banks Laetitia Lepetita , Amine

  18. SPS susceptible-system cost factors investment summary and mitigation-cost-increment estimates

    SciTech Connect (OSTI)

    Morrison, E L

    1980-05-01T23:59:59.000Z

    The Electromagnetic Compatibility (EMC) evaluation program supporting the SPS Concept Development Evaluation Phase has included examinations of the degradation in capability of all susceptible communications and electronic systems that could be exposed to SPS emissions, the development and testing of mitigation techniques to allow operation in the SPS environment, and the development of total investment and mitigation cost data. Mitigation costs relate only to the modification or reconfiguration of susceptible systems; redeployment being a possible consideration for rectenna siting exercises during the SPS Engineering Development Phase. An extensive survey is summarized regarding the current and planned facilities using the equipment categories listed: microwave communications; radar systems; sensors; computers; medical equipment; and research support. Current investment, future plans, and mitigation costs are presented, with geographic distribution in six CONUS areas.

  19. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,602 1,397...

  20. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All...

  1. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,870 1,276...

  2. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,037...

  3. Using Pinch Technology to Explore Trade-Offs Between Energy Cost, Capital Cost, Process Modifications, and Utility Selection

    E-Print Network [OSTI]

    McMullan, A. S.

    , energy cost, process modifications and utility selection. The application of Pinch' Technology to a Chemi-Thermo Mechanical Pulping process is used to illustrate the approach and the results. INTRODUCTION The general approach to process design.... AN EXAMPLE - THE CTMP PROCESS The Chemi-Thermo Mechanical Pulping (CTMP) process will be used as an example to illustrate how process modifications and utility selection impact total capital and operating costs. For each of the possible process...

  4. Cost and Profit of Ginning Cotton in Texas.

    E-Print Network [OSTI]

    Paulson, W. E. (William E.)

    1942-01-01T23:59:59.000Z

    his actual cost and profit with his computed standard cost and profit may ascertain his om relative efficiency. The profit outlook of the ginning enterprise and the valuation forming the basis of purchase and sale engage the attention of bankers... as Percentages of Total Number1 Number Type of Power Year Gaso- Elec- Steam Water line Animal tric Diesel Gas Total IDepartm~nt of Commerce, Bureau of the Census: Cotton Production and Distribution, Sea- son of 1919-20, Bulletin 145, pages 36-43. Cotton...

  5. Vehicle operating costs: evidence from developing countries

    SciTech Connect (OSTI)

    Chesher, A.; Harrison, R.

    1987-01-01T23:59:59.000Z

    The document presents information concerning the relationships between vehicle operating costs and highway conditions derived from four studies performed in Kenya, the Caribbean, Brazil, and India in the 1970s and early 1980s. The levels of transport costs and the amounts by which they are altered when highway conditions change depend on two main factors. The first is the production technology facing firms, in particular, the types and designs of vehicles to which firms have access. The second is the economic environment that firms face, in particular, relative prices of inputs to the production of transportation, such as fuel, tires, labor, and vehicles, and the nature of the transport markets that firms serve. The first part of the book sets out an economic model of firms managing vehicle fleets within which these influences can be examined. The second part of the book reports and interprets the results of the four major research projects which were designed to study the influences on vehicle operating costs. The third part of the book examines total vehicle operating costs.

  6. Costs of lithium-ion batteries for vehicles

    SciTech Connect (OSTI)

    Gaines, L.; Cuenca, R.

    2000-08-21T23:59:59.000Z

    One of the most promising battery types under development for use in both pure electric and hybrid electric vehicles is the lithium-ion battery. These batteries are well on their way to meeting the challenging technical goals that have been set for vehicle batteries. However, they are still far from achieving the current cost goals. The Center for Transportation Research at Argonne National Laboratory undertook a project for the US Department of Energy to estimate the costs of lithium-ion batteries and to project how these costs might change over time, with the aid of research and development. Cost reductions could be expected as the result of material substitution, economies of scale in production, design improvements, and/or development of new material supplies. The most significant contributions to costs are found to be associated with battery materials. For the pure electric vehicle, the battery cost exceeds the cost goal of the US Advanced Battery Consortium by about $3,500, which is certainly enough to significantly affect the marketability of the vehicle. For the hybrid, however, the total cost of the battery is much smaller, exceeding the cost goal of the Partnership for a New Generation of Vehicles by only about $800, perhaps not enough to deter a potential buyer from purchasing the power-assist hybrid.

  7. Efficient Network Structures with Separable Heterogeneous Connection Costs

    E-Print Network [OSTI]

    Heydari, Babak; Dalili, Kia

    2015-01-01T23:59:59.000Z

    We introduce a heterogeneous connection model for network formation to capture the effect of cost heterogeneity on the structure of efficient networks. In the proposed model, connection costs are assumed to be separable, which means the total connection cost for each agent is uniquely proportional to its degree. For these sets of networks, we provide the analytical solution for the efficient network and discuss stability impli- cations. We show that the efficient network exhibits a core-periphery structure, and for a given density, we find a lower bound for clustering coefficient of the efficient network.

  8. New results on (LAMPF II) superconducting linac cost

    SciTech Connect (OSTI)

    Schaffer, G.

    1989-01-01T23:59:59.000Z

    A consolidated cost estimate for a superconducting 800 MeV extension of the LAMPF I linac is presented in this note. Based on recent CERN-LEP tender results for 20 superconducting cavities, the cost of a superconducting linac structure (402.5 MHz) can be projected with much better accuracy than so far. The total construction cost for an 800 MeV extension amounts to 99.5 M$, buildings, cryoplant etc. included. The corresponding figure for a normal conducting structure (1207.5 MHz, on axis coupled) is 104.6 M$.

  9. Looking at Resource Sharing Costs

    E-Print Network [OSTI]

    Leon, Lars; Kress, Nancy

    2012-05-23T23:59:59.000Z

    Purpose – This paper is the result of a small cost study of resource sharing services in 23 North American libraries. Trends that have affected resource sharing costs since the last comprehensive study are discussed. Design/methodology approach...

  10. User cost in oil production

    E-Print Network [OSTI]

    Adelman, Morris Albert

    1990-01-01T23:59:59.000Z

    The assumption of an initial fixed mineral stock is superfluous and wrong. User cost (resource rent) in mineral production is the present value of expected increases in development cost. It can be measured as the difference ...

  11. Low Cost Carbon Fiber Overview

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

    UT-Battelle for the U.S. Department of Energy Presentationname CARBON FIBER OVERVIEW Materials LM002 Task FY 2010 Budget Industry Cost Share FY 2011 Budget Industry Cost Share...

  12. Fuel-cycle cost comparisons with oxide and silicide fuels

    SciTech Connect (OSTI)

    Matos, J.E.; Freese, K.E.

    1982-01-01T23:59:59.000Z

    This paper addresses fuel cycle cost comparisons for a generic 10 MW reactor with HEU aluminide fuel and with LEU oxide and silicide fuels in several fuel element geometries. The intention of this study is to provide a consistent assessment of various design options from a cost point of view. Fuel cycle cost benefits could result if a number of reactors were to utilize fuel elements with the same number or different numbers of the same standard fuel plate. Data are presented to quantify these potential cost benefits. This analysis shows that there are a number of fuel element designs using LEU oxide or silicide fuels that have either the same or lower total fuel cycle costs than the HEU design. Use of these fuels with the uranium densities considered requires that they are successfully demonstrated and licensed.

  13. Low Cost Heliostat Development Phase II Final Report

    SciTech Connect (OSTI)

    Kusek, Stephen M.

    2014-04-21T23:59:59.000Z

    The heliostat field in a central receiver plant makes up roughly one half of the total plant cost. As such, cost reductions for the installed heliostat price greatly impact the overall plant cost and hence the plant’s Levelized Cost of Energy. The general trend in heliostat size over the past decades has been to make them larger. One part of our thesis has been that larger and larger heliostats may drive the LCOE up instead of down due to the very nature of the precise aiming and wind-load requirements for typical heliostats. In other words, it requires more and more structure to precisely aim the sunlight at the receiver as one increases heliostat mirror area and that it becomes counter-productive, cost-wise, at some point.

  14. PHEV Battery Cost Assessment

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartmentOutreachDepartment ofProgram49,PHEV Battery Cost

  15. Considering the total cost of electricity from sunlight and the alternatives

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

    Fthenakis, Vasilis

    2015-03-01T23:59:59.000Z

    Photovoltaic (PV) electricity generation has grown to about 17 GW in the United States, corresponding to one tenth of the global capacity. Most deployment in the country has happened during the last 6 years. Reflecting back in time, in early 2008 this author and his collaborators James Mason and Ken Zweibel, published in Scientific American and in Energy Policy a Solar Grand Plan demonstrating the feasibility of renewable energy in providing 69% of the U.S. electricity demand by 2050, while reducing CO2 emissions by 60% from 2005 levels; the PV contribution to this plan was assessed to be 250 GWmore »by 2030, and 2,900 GW by 2050 [1]. The DOE’s more detailed SunShot vision study, released in 2012, showed the possibility of having 300 GW of PV installed in the United States by 2030, and 630 GW by 2050.« less

  16. Sustainable Transportation Decision-Making: Spatial Decision Support Systems (SDSS) and Total Cost Analysis

    E-Print Network [OSTI]

    Kim, Hwan Yong

    2013-04-04T23:59:59.000Z

    the TUT research generated diverse variables and created possible implementations of spatial decision support system (SDSS), the methodology still demands improvement. The current method has been developed to create suitable routes but is not designed...

  17. Considering the total cost of electricity from sunlight and the alternatives

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

    Fthenakis, Vasilis [Brookhaven National Lab. (BNL), Upton, NY (United States); Columbia Univ., New York, NY (United States)

    2015-03-01T23:59:59.000Z

    Photovoltaic (PV) electricity generation has grown to about 17 GW in the United States, corresponding to one tenth of the global capacity. Most deployment in the country has happened during the last 6 years. Reflecting back in time, in early 2008 this author and his collaborators James Mason and Ken Zweibel, published in Scientific American and in Energy Policy a Solar Grand Plan demonstrating the feasibility of renewable energy in providing 69% of the U.S. electricity demand by 2050, while reducing CO2 emissions by 60% from 2005 levels; the PV contribution to this plan was assessed to be 250 GW by 2030, and 2,900 GW by 2050 [1]. The DOE’s more detailed SunShot vision study, released in 2012, showed the possibility of having 300 GW of PV installed in the United States by 2030, and 630 GW by 2050.

  18. 3/1/2014 to 3/31/2014 Total Costs: $1,207,200.00

    E-Print Network [OSTI]

    Goodman, Robert M.

    of Agriculture 4/16/2014 12/31/2013 OUDEMANS, PETER None Delivery of Grape IPM Predication Models to NJ Wine/Environment al Science US Department of Energy US Department of Energy 3/1/2014 2/28/2015 BARKAY, TAMAR Service 3/6/2014 6/30/2014 BOTH, AREND- JAN None Delivery of two webinars on greenhouse energy issues

  19. Project Profile: Transformational Approach to Reducing the Total System Costs of Building-Integrated Photovoltaics

    Broader source: Energy.gov [DOE]

    The Dow Chemical Company, under the BOS-X funding opportunity, has launched a transformational product in the building-integrated photovoltaics (BIPV) industry: the Dow POWERHOUSE Solar Shingle.

  20. ,"U.S. Total Refiner Acquisition Cost of Crude Oil"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, and Natural Gas Plant Stocks

  1. FY 2007 Total System Life Cycle Cost, Pub 2008 | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment ofAppropriationBudget DOE:5 FY 2006

  2. U.S. Department of Energy Releases Revised Total System Life Cycle Cost

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015 -Helicopter Accident at RatonU.S. -DepartmentInspectorof theEstimate

  3. U.S. Department of Energy Releases Revised Total System Life Cycle Cost

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic|IndustrialCenterMarchC.Department of Energy U.S. Department

  4. Ensuring cost effectiveness in the TAP process

    SciTech Connect (OSTI)

    Trego, A.L.

    1992-06-16T23:59:59.000Z

    The Training Accredition Program (TAP) at the Waste Isolation Division (WID) is discussed by the general manager. Cost effectiveness in the TAP process is made possible by saving through sharing which refers to the exchange and co-development of information and technology among Westinghouse Government owned-contractor operators and with other organizations. In 1990 a comprehensive management and supervisor training (MAST) program plan was devised and a MAST certification program of 31 self-paced written moduler was developed. This program has proven to be inexpensive to develop and implement when compared to classroom training. In addition, total quality is used as a tool to continuously improve work process. Continuous improvement requires continued evaluation of work process, such as TAP analysis and development in summary to make training at DOE facilities the most cost-effective training anywhere, we need to share, challenge conventional wisdom, and seek to continuously improve.

  5. Cost analysis of German waste repositories

    SciTech Connect (OSTI)

    Berg, H.P.; Debski, H.J. [Bundesamt fuer Strahlenschutz, Salzgitter (Germany)

    1993-12-31T23:59:59.000Z

    In forecasting costs of final disposal for radioactive waste, the determined disposal concept and operational aspects such as the necessary amount for personnel to operate the repository are important. Even for the German deep geological concept, there are large differences resulting from the assessment to select an already existing mine or a completely new formation as a disposal site. Based on actual planning, the expected total costs of the running waste repository projects in the Federal Republic of Germany are presented including their distribution to single aspects like project management, underground investigation, licensing work and construction. Moreover, the actual expenditures for the different waste repositories are given and as far as possible the prices per m{sup 3}.

  6. Wind Integration Cost and Cost-Causation: Preprint

    SciTech Connect (OSTI)

    Milligan, M.; Kirby, B.; Holttinen, H.; Kiviluoma, J.; Estanqueiro, A.; Martin-Martinez, S.; Gomez-Lazaro, E.; Peneda, I.; Smith, C.

    2013-10-01T23:59:59.000Z

    The question of wind integration cost has received much attention in the past several years. The methodological challenges to calculating integration costs are discussed in this paper. There are other sources of integration cost unrelated to wind energy. A performance-based approach would be technology neutral, and would provide price signals for all technology types. However, it is difficult to correctly formulate such an approach. Determining what is and is not an integration cost is challenging. Another problem is the allocation of system costs to one source. Because of significant nonlinearities, this can prove to be impossible to determine in an accurate and objective way.

  7. RETHINKING STANDBY & FIXED COST CHARGES

    E-Print Network [OSTI]

    intended to recover a more significant share of fixed costs solely from solar PV customer- generators rooftop solar PV development at limited to no cost to taxpayers and non-solar utility customers. StandbyPage | i RETHINKING STANDBY & FIXED COST CHARGES: REGULATORY & RATE DESIGN PATHWAYS TO DEEPER SOLAR

  8. Check Estimates and Independent Costs

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

    1997-03-28T23:59:59.000Z

    Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

  9. Total termination of term rewriting is undecidable

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Total termination of term rewriting is undecidable Hans Zantema Utrecht University, Department Usually termination of term rewriting systems (TRS's) is proved by means of a monotonic well­founded order. If this order is total on ground terms, the TRS is called totally terminating. In this paper we prove that total

  10. Total Petroleum Systems and Assessment Units (AU)

    E-Print Network [OSTI]

    Torgersen, Christian

    Total Petroleum Systems (TPS) and Assessment Units (AU) Field type Surface water Groundwater X X X X X X X X AU 00000003 Oil/ Gas X X X X X X X X Total X X X X X X X Total Petroleum Systems (TPS) and Assessment Units (AU) Field type Total undiscovered petroleum (MMBO or BCFG) Water per oil

  11. Global transportation cost modeling for long-range planning

    SciTech Connect (OSTI)

    Pope, R.B.; Michelhaugh, R.D.; Singley, P.T. [Oak Ridge National Lab., TN (United States); Lester, P.B. [Dept. of Energy, Oak Ridge, TN (United States)

    1998-02-01T23:59:59.000Z

    The US Department of Energy (DOE) is preparing to perform significant remediation activities of the sites for which it is responsible. To accomplish this, it is preparing a corporate global plan focused on activities over the next decade. Significant in these planned activities is the transportation of the waste arising from the remediation. The costs of this transportation are expected to be large. To support the initial assessment of the plan, a cost estimating model was developed, peer-reviewed against other available packaging and transportation cost data, and applied to a significant number of shipping campaigns of radioactive waste. This cost estimating model, known as the Ten-year Plan Transportation Cost Model (TEPTRAM), can be used to model radioactive material shipments between DOE sites or from DOE sites to non-DOE destinations. The model considers the costs for (a) recovering and processing of the wastes, (b)packaging the wastes for transport, and (c) the carriage of the waste. It also provides a rough order of magnitude estimate of labor costs associated with preparing and undertaking the shipments. At the user`s direction, the model can also consider the cost of DOE`s interactions with its external stakeholders (e.g., state and local governments and tribal entities) and the cost associated with tracking and communicating with the shipments. By considering all of these sources of costs, it provides a mechanism for assessing and comparing the costs of various waste processing and shipping campaign alternatives to help guide decision-making. Recent analyses of specific planned shipments of transuranic (TRU) waste which consider alternative packaging options are described. These analyses show that options are available for significantly reducing total costs while still satisfying regulatory requirements.

  12. Realistic costs of carbon capture

    SciTech Connect (OSTI)

    Al Juaied, Mohammed (Harvard Univ., Cambridge, MA (US). Belfer Center for Science and International Affiaris); Whitmore, Adam (Hydrogen Energy International Ltd., Weybridge (GB))

    2009-07-01T23:59:59.000Z

    There is a growing interest in carbon capture and storage (CCS) as a means of reducing carbon dioxide (CO2) emissions. However there are substantial uncertainties about the costs of CCS. Costs for pre-combustion capture with compression (i.e. excluding costs of transport and storage and any revenue from EOR associated with storage) are examined in this discussion paper for First-of-a-Kind (FOAK) plant and for more mature technologies, or Nth-of-a-Kind plant (NOAK). For FOAK plant using solid fuels the levelised cost of electricity on a 2008 basis is approximately 10 cents/kWh higher with capture than for conventional plants (with a range of 8-12 cents/kWh). Costs of abatement are found typically to be approximately US$150/tCO2 avoided (with a range of US$120-180/tCO2 avoided). For NOAK plants the additional cost of electricity with capture is approximately 2-5 cents/kWh, with costs of the range of US$35-70/tCO2 avoided. Costs of abatement with carbon capture for other fuels and technologies are also estimated for NOAK plants. The costs of abatement are calculated with reference to conventional SCPC plant for both emissions and costs of electricity. Estimates for both FOAK and NOAK are mainly based on cost data from 2008, which was at the end of a period of sustained escalation in the costs of power generation plant and other large capital projects. There are now indications of costs falling from these levels. This may reduce the costs of abatement and costs presented here may be 'peak of the market' estimates. If general cost levels return, for example, to those prevailing in 2005 to 2006 (by which time significant cost escalation had already occurred from previous levels), then costs of capture and compression for FOAK plants are expected to be US$110/tCO2 avoided (with a range of US$90-135/tCO2 avoided). For NOAK plants costs are expected to be US$25-50/tCO2. Based on these considerations a likely representative range of costs of abatement from CCS excluding 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.

  13. Hydrogen Refueling Station Costs in Shanghai

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Shaojun, Liu; Ogden, J; Jianxin, Ma

    2006-01-01T23:59:59.000Z

    04 Hydrogen Refueling Station Costs in Shanghai Jonathan X.Hydrogen Refueling Station Costs in Shanghai Jonathan X.voltage connections) Capital costs for this equipment must

  14. Hydrogen refueling station costs in Shanghai

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Shaojun, Liu; Ogden, Joan M; Jianxin, Ma

    2007-01-01T23:59:59.000Z

    Fueling stations; Cost; Shanghai; Fuel cell vehicles 1.and the delivery cost for fuel cell vehicles, however, itthus hydrogen cost therefore depend on the ?eet of fuel cell

  15. Hydrogen Refueling Station Costs in Shanghai

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Shaojun, Liu; Ogden, J; Jianxin, Ma

    2006-01-01T23:59:59.000Z

    systems in China, particularly for the cost of hydrogenthe capital cost for equipment imported to China. Hydrogenestate costs in Shanghai are among the highest in China. $

  16. Advanced Fuel Cycle Cost Basis

    SciTech Connect (OSTI)

    D. E. Shropshire; K. A. Williams; W. B. Boore; J. D. Smith; B. W. Dixon; M. Dunzik-Gougar; R. D. Adams; D. Gombert; E. Schneider

    2009-12-01T23:59:59.000Z

    This report, commissioned by the U.S. Department of Energy (DOE), provides a comprehensive set of cost data supporting a cost analysis for the relative economic comparison of options for use in the Advanced Fuel Cycle Initiative (AFCI) Program. The report describes the AFCI cost basis development process, reference information on AFCI cost modules, a procedure for estimating fuel cycle costs, economic evaluation guidelines, and a discussion on the integration of cost data into economic computer models. This report contains reference cost data for 25 cost modules—23 fuel cycle cost modules and 2 reactor modules. The cost modules were developed in the areas of natural uranium mining and milling, conversion, enrichment, depleted uranium disposition, fuel fabrication, interim spent fuel storage, reprocessing, waste conditioning, spent nuclear fuel (SNF) packaging, long-term monitored retrievable storage, near surface disposal of low-level waste (LLW), geologic repository and other disposal concepts, and transportation processes for nuclear fuel, LLW, SNF, transuranic, and high-level waste.

  17. Advanced Fuel Cycle Cost Basis

    SciTech Connect (OSTI)

    D. E. Shropshire; K. A. Williams; W. B. Boore; J. D. Smith; B. W. Dixon; M. Dunzik-Gougar; R. D. Adams; D. Gombert; E. Schneider

    2008-03-01T23:59:59.000Z

    This report, commissioned by the U.S. Department of Energy (DOE), provides a comprehensive set of cost data supporting a cost analysis for the relative economic comparison of options for use in the Advanced Fuel Cycle Initiative (AFCI) Program. The report describes the AFCI cost basis development process, reference information on AFCI cost modules, a procedure for estimating fuel cycle costs, economic evaluation guidelines, and a discussion on the integration of cost data into economic computer models. This report contains reference cost data for 25 cost modules—23 fuel cycle cost modules and 2 reactor modules. The cost modules were developed in the areas of natural uranium mining and milling, conversion, enrichment, depleted uranium disposition, fuel fabrication, interim spent fuel storage, reprocessing, waste conditioning, spent nuclear fuel (SNF) packaging, long-term monitored retrievable storage, near surface disposal of low-level waste (LLW), geologic repository and other disposal concepts, and transportation processes for nuclear fuel, LLW, SNF, transuranic, and high-level waste.

  18. Advanced Fuel Cycle Cost Basis

    SciTech Connect (OSTI)

    D. E. Shropshire; K. A. Williams; W. B. Boore; J. D. Smith; B. W. Dixon; M. Dunzik-Gougar; R. D. Adams; D. Gombert

    2007-04-01T23:59:59.000Z

    This report, commissioned by the U.S. Department of Energy (DOE), provides a comprehensive set of cost data supporting a cost analysis for the relative economic comparison of options for use in the Advanced Fuel Cycle Initiative (AFCI) Program. The report describes the AFCI cost basis development process, reference information on AFCI cost modules, a procedure for estimating fuel cycle costs, economic evaluation guidelines, and a discussion on the integration of cost data into economic computer models. This report contains reference cost data for 26 cost modules—24 fuel cycle cost modules and 2 reactor modules. The cost modules were developed in the areas of natural uranium mining and milling, conversion, enrichment, depleted uranium disposition, fuel fabrication, interim spent fuel storage, reprocessing, waste conditioning, spent nuclear fuel (SNF) packaging, long-term monitored retrievable storage, near surface disposal of low-level waste (LLW), geologic repository and other disposal concepts, and transportation processes for nuclear fuel, LLW, SNF, and high-level waste.

  19. Cost Analysis of NEMO Protocol Md. Shohrab Hossain , Mohammed

    E-Print Network [OSTI]

    Atiquzzaman, Mohammed

    based on all-IP technology, compounded by the fact that the number of mobile nodes requiring mobility have developed analytical models to estimate total costs of key mobility management entities of NEMO, mobility management entities, computer networks. I. INTRODUCTION To ensure continuous Internet connectivity

  20. Cost Model and Cost Estimating Software - DOE Directives, Delegations...

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

    is basically a cost model, which forms the basis for estimating software. g4301-1chp22.pdf -- PDF Document, 190 KB Writer: John Makepeace Subjects: Administration...