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Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
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1

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

NLE Websites -- All DOE Office Websites (Extended Search)

1 1 October 2009 Wind Levelized Cost of Energy: A Comparison of Technical and Financing Input Variables Karlynn Cory and Paul Schwabe National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-46671 October 2009 Wind Levelized Cost of Energy: A Comparison of Technical and Financing Input Variables Karlynn Cory and Paul Schwabe Prepared under Task No. WER9.3550 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

2

New continuous-input current charge pump power-factor-correction electronic ballast  

SciTech Connect

Continuous-input current charge pump power-factor-correction (CIC-CPPFC) electronic ballasts are proposed in this paper. The CPPFC circuit and unity power factor condition using the charge pump concept are derived and analyzed. The average lamp current control with switching frequency modulation was developed so that the low crest factor and constant lamp power operation can be achieved. The developed electronic ballast has continuous input current, so that a small line input filter can be used. The proposed CIC-CPPFC electronic ballast was implemented and tested with two 45-W fluorescent lamps. It is shown that the measured line input current harmonics satisfy IEC 1000-3-2 Class C requirements.

Qian, J.; Lee, F.C. [Virginia Polytechnic Inst. and State Univ., Blacksburg, VA (United States); Yamauchi, Tokushi [Matsushita Electric Works, Ltd., Osaka (Japan). Lighting Research and Development Center

1999-03-01T23:59:59.000Z

3

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

SciTech Connect

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)

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

4

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

DOE Green Energy (OSTI)

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

Cory, K.; Schwabe, P.

2009-10-01T23:59:59.000Z

5

Factors Associated with Photovoltaic System Costs (Topical Issues Brief)  

Science Conference Proceedings (OSTI)

A variety of factors can affect the cost of photovoltaic systems. This report analyses the relationship among such factors by using information entered into a voluntary registry of PV systems and performing regression analyses. The results showed statistically significant relationships between photovoltaic system cost and (a) grid connection, (b) installation year, (c) areas where the utility had entered into volume purchasing agreements.

Mortensen, J.

2001-06-12T23:59:59.000Z

6

Wind turbine cost of electricity and capacity factor  

Science Conference Proceedings (OSTI)

Wind turbines are currently designed to minimize the cost of electricity at the wind turbine (the busbar cost) in a given wind regime, ignoring constraints on the capacity factor (the ratio of the average power output to the maximum power output). The trade-off between these two quantities can be examined in a straightforward fashion; it is found that the capacity factor can be increased by a factor of 30 percent above its value at the cost minimum for a ten percent increase in the busbar cost of electricity. This has important implications for the large-scale integration of wind electricity on utility grids where the cost of transmission may be a significant fraction of the cost of delivered electricity, or where transmission line capacity may be limited.

Cavallo, A.J. [Cavallo (A.J.), Princeton, NJ (United States)

1997-11-01T23:59:59.000Z

7

Decommissioning Cost Estimating Factors And Earned Value Integration  

Science Conference Proceedings (OSTI)

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

Sanford, P.C.; Cimmarron, E. [Englewood, CO, B. Skokan, Office of Project Management Oversight, EM-53, United States Department of Energy, Washington, DC (United States)

2008-07-01T23:59:59.000Z

8

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

NLE Websites -- All DOE Office Websites (Extended Search)

Several additional studies were conducted to explore the sensitivity of sedimentary geothermal system costs to key assumptions in the base case model. 1. Decreased Drilling Costs...

9

ELECTRICITY CASE: ECONOMIC COST ESTIMATION FACTORS FOR ECONOMIC  

E-Print Network (OSTI)

of numbers of people affected DRAFT #12;6 · costs per hour of disruption or outage are used in conjunction with consequences in terms of duration, which is particularly common in electric power outages · costs per dollar for residences. Per Unit of Duration of Outage Duration as an influence in the cost of outages has received a lot

Wang, Hai

10

Factor Adjustment Costs: Implications for Domestic and Export Sales Dynamics.  

E-Print Network (OSTI)

??CHAPTER 1: Empirical work on export dynamics has generally assumed constant marginal production cost and therefore ignored domestic product market conditions. However, recent studies have (more)

Liu, Yanping

2013-01-01T23:59:59.000Z

11

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

NLE Websites -- All DOE Office Websites (Extended Search)

NISTIR 85-3273-28 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2013 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S....

12

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis- 2010  

Energy.gov (U.S. Department of Energy (DOE))

Report describes the 2010 edition of energy price indices and discount factors for performing life-cycle cost analyses of energy and water conservation and renewable energy projects in federal facilities.

13

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

NLE Websites -- All DOE Office Websites (Extended Search)

7 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2012 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S. Rushing Joshua D....

14

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

NLE Websites -- All DOE Office Websites (Extended Search)

5 (Rev. 510) Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2010 Annual Supplement to Amy S. Rushing NIST Handbook 135 and Joshua D. Kneifel NBS Special...

15

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2010  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5 5 (Rev. 5/10) Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2010 Annual Supplement to Amy S. Rushing NIST Handbook 135 and Joshua D. Kneifel NBS Special Publication 709 Barbara C. Lippiatt U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology Prepared for United States Department of Energy Federal Energy Management Program April 2005 May 2010 ENERGY PRICE INDICES AND DISCOUNT FACTORS FOR LIFE-CYCLE COST ANALYSIS Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 April 1, 2010 to March 31, 2011 Data for the Federal Methodology for Life-Cycle Cost Analysis, Title 10, CFR, Part 436, Subpart A; and for the Energy Conservation Mandatory Performance Standards for New Federal Residential Buildings,

16

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2011  

NLE Websites -- All DOE Office Websites (Extended Search)

April 2005 April 2005 NISTIR 85-3273-26 (Rev. 9/11) Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2011 Annual Supplement to Amy S. Rushing NIST Handbook 135 and Joshua D. Kneifel NBS Special Publication 709 Barbara C. Lippiatt U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology Prepared for United States Department of Energy Federal Energy Management Program September 2011 NISTIR 85-3273-26 ENERGY PRICE INDICES AND DISCOUNT FACTORS FOR LIFE-CYCLE COST ANALYSIS Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 April 1, 2011 to March 31, 2012 Data for the Federal Methodology for Life-Cycle Cost Analysis, Title 10, CFR, Part 436, Subpart A; and for the Energy Conservation Mandatory Performance Standards for New Federal Residential Buildings,

17

Climate Change and Forest Sinks: Factors Affecting the Costs of Carbon Sequestration  

E-Print Network (OSTI)

this paper may be reproduced without permission of the authors. Discussion papers are research materials circulated by their authors for purposes of information and discussion. They have not undergone formal peer review or the editorial treatment accorded RFF books and other publications. CLIMATE CHANGE AND FOREST SINKS: FACTORS AFFECTING THE COSTS OF CARBON SEQUESTRATION

Richard G. Newell; Richard G. Newell; Robert N. Stavins; Robert N. Stavins

1999-01-01T23:59:59.000Z

18

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

SciTech Connect

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

Augustine, C.

2013-10-01T23:59:59.000Z

19

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis- 2012  

Energy.gov (U.S. Department of Energy (DOE))

Report provides tables of present-value factors for use in the life-cycle cost analysis of capital investment projects for federal facilities. It also provides energy price indices based on the U.S. Department of Energy (DOE) forecasts from 2012 to 2042.

20

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis-2013  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8 8 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2013 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S. Rushing Joshua D. Kneifel Barbara C. Lippiatt http://dx.doi.org/10.6028/NIST.IR.85-3273-28 U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology Prepared for United States Department of Energy Federal Energy Management Program April 2005 NISTIR 85-3273-28 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2013 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S. Rushing Joshua D. Kneifel Barbara C. Lippiatt Applied Economics Office Engineering Laboratory http://dx.doi.org/10.6028/NIST.IR.85-3273-28

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2012  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7 7 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2012 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S. Rushing Joshua D. Kneifel Barbara C. Lippiatt http://dx.doi.org/10.6028/NIST.IR.85-3273-27 U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology Prepared for United States Department of Energy Federal Energy Management Program April 2005 NISTIR 85-3273-27 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2012 Annual Supplement to NIST Handbook 135 and NBS Special Publication 709 Amy S. Rushing Joshua D. Kneifel Barbara C. Lippiatt Applied Economics Office Engineering Laboratory http://dx.doi.org/10.6028/NIST.IR.85-3273-27

22

Software Cost Estimation  

E-Print Network (OSTI)

Software cost estimation is the process of predicting the effort required to develop a software system. Many estimation models have been proposed over the last 30 years. This paper provides a general overview of software cost estimation methods including the recent advances in the field. As a number of these models rely on a software size estimate as input, we first provide an overview of common size metrics. We then highlight the cost estimation models that have been proposed and used successfully. Models may be classified into 2 major categories: algorithmic and non-algorithmic. Each has its own strengths and weaknesses. A key factor in selecting a cost estimation model is the accuracy of its estimates. Unfortunately, despite the large body of experience with estimation models, the accuracy of these models is not satisfactory. The paper includes comment on the performance of the estimation models and description of several newer approaches to cost estimation.

Hareton Leung Zhang; Zhang Fan

2002-01-01T23:59:59.000Z

23

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

Science Conference Proceedings (OSTI)

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

Tidball, R.; Bluestein, J.; Rodriguez, N.; Knoke, S.

2010-11-01T23:59:59.000Z

24

Identifying factors and quantifying their impact on transportation costs of pre-processes biomass.  

E-Print Network (OSTI)

?? This research presents a rail transportation cost analysis of bulk agricultural commodities (such as grain and wood chips) with similar characteristics as pre-processed biomass. (more)

Gonzales, Daniela Sofia

2012-01-01T23:59:59.000Z

25

Survey on Cooling Costs and Related Factors for Apartments in an Urban Area of Osaka  

E-Print Network (OSTI)

A questionnaire survey was carried out to assess cooling behaviors and cooling costs for 290 apartments in an urban area. 1) Cooling costs are strongly related to the number of air conditioners, the months of occupation, and the air conditioner usage frequency during sleep. Lifestyle and ecological interest do not decrease costs. 2) Target temperatures of air conditioning are strongly related to the air pollution outdoors, and to the frequency of window opening. Cooling temperatures are affected by the residents' constitution. 3) Both cooling temperature and air-conditioner use frequency are higher for residents worried more about dew, humidity, odors, and mold. 4) Air-conditioner use frequency is higher for residents who are annoyed by glances from outside and for those with a higher preference of outdoors. 5) South openings are related to the lower cooling costs and higher cooling temperatures, whereas west openings are related to higher cooling costs.

Umemiya, N.; Lin, X.; Inoue, G.

2006-01-01T23:59:59.000Z

26

TART input manual  

Science Conference Proceedings (OSTI)

The TART code is a Monte Carlo neutron/photon transport code that is only on the CRAY computer. All the input cards for the TART code are listed, and definitions for all input parameters are given. The execution and limitations of the code are described, and input for two sample problems are given. (WHK)

Kimlinger, J.R.; Plechaty, E.F.

1982-04-01T23:59:59.000Z

27

OOTW COST TOOLS  

Science Conference Proceedings (OSTI)

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.

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

1998-09-01T23:59:59.000Z

28

Liquefaction and Pipeline Costs  

NLE Websites -- All DOE Office Websites (Extended Search)

factors add 20 percent to liquefaction plant total installed cost 6 Distribution Pipeline Costs Collected historical Oil & Gas Journal data, and surveyed for current urban and...

29

On test suite composition and cost-effective regression testing  

E-Print Network (OSTI)

Regression testing is an expensive testing process used to re-validate software as it evolves. Various methodologies for improving regression testing processes have been explored, but the cost-effectiveness of these methodologies has been shown to vary with characteristics of regression test suites. One such characteristic involves the way in which test inputs are composed into test cases within a test suite. This article reports the results of controlled experiments examining the effects of two factors in test suite composition test suite granularity and test input grouping on the costs and benefits of several regression-testing-related methodologies: retest-all, regression test selection, test suite reduction, and test case prioritization. These experiments consider the application of several specific techniques, from each of these methodologies, across ten releases each of two substantial software systems, using seven levels of test suite granularity and two types of test input grouping. The effects of granularity, technique, and grouping on the cost and fault-detection effectiveness of regression testing under the given methodologies are analyzed. This analysis shows that test suite granularity significantly affects several cost-benefit factors for the methodologies considered, while test input grouping has limited effects. Further, the results expose essential tradeoffs affecting the relationship between test suite design and regression testing cost-effectiveness, with several implications for practice. 1

Gregg Rothermel; Sebastian Elbaum; Alexey Malishevsky; Praveen Kallakuri

2004-01-01T23:59:59.000Z

30

Federal Energy Management Program: Energy Cost Calculator for...  

NLE Websites -- All DOE Office Websites (Extended Search)

Electric and Gas Water Heaters Vary equipment size, energy cost, hours of operation, and or efficiency level. INPUT SECTION Input the following data (if any parameter is missing,...

31

An in-depth analysis of data aggregation cost factors in a columnar in-memory database  

Science Conference Proceedings (OSTI)

Precise prediction of query execution performance is the basis for various database optimization strategies. With columnar in-memory databases, cost modeling changes in two dimensions: First, models for disk-based databases are not well-suited as the ... Keywords: aggregation, column store, cost model, in-memory

Stephan Mller; Hasso Plattner

2012-11-01T23:59:59.000Z

32

Highly Insulating Windows - Cost  

NLE Websites -- All DOE Office Websites (Extended Search)

Cost Cost The following is an estimate of the cost effective incremental cost of highly-insulating windows (U-factor=0.20 Btu/hr-ft2-F) compared to regular ENERGY STAR windows (U-factor 0.35 Btu/hr-ft2-F). Energy savings from lower U-factors were simulated with RESFEN over an assumed useful window life of 25 years. To determine the maximum incremental cost at which highly-insulating windows would still be cost-effective, we used a formula used by many utility companies to calculate the cost of saved energy from energy efficiency programs, based on the programs' cost and savings. We turned this formula around so that the cost of saved energy equals the present energy prices in the studied locations, whereas the program cost (the incremental cost of the windows) is the dependent variable. By entering 5%

33

The Complex and Multi-Faceted Nature of School Construction Costs: Factors Affecting California. A Report to the American Institute of Architects California Council  

E-Print Network (OSTI)

Cost (ln) and Cost per Square Foot (ln). The coefficientsdependent variable, Cost per Square Foot (ln). Consistentin our data. Measuring cost per square foot, however, yields

Vincent, Jeffrey M; McKoy, Deborah

2008-01-01T23:59:59.000Z

34

User manual for PACTOLUS: a code for computing power costs.  

SciTech Connect

PACTOLUS is a computer code for calculating the cost of generating electricity. Through appropriate definition of the input data, PACTOLUS can calculate the cost of generating electricity from a wide variety of power plants, including nuclear, fossil, geothermal, solar, and other types of advanced energy systems. The purpose of PACTOLUS is to develop cash flows and calculate the unit busbar power cost (mills/kWh) over the entire life of a power plant. The cash flow information is calculated by two principal models: the Fuel Model and the Discounted Cash Flow Model. The Fuel Model is an engineering cost model which calculates the cash flow for the fuel cycle costs over the project lifetime based on input data defining the fuel material requirements, the unit costs of fuel materials and processes, the process lead and lag times, and the schedule of the capacity factor for the plant. For nuclear plants, the Fuel Model calculates the cash flow for the entire nuclear fuel cycle. For fossil plants, the Fuel Model calculates the cash flow for the fossil fuel purchases. The Discounted Cash Flow Model combines the fuel costs generated by the Fuel Model with input data on the capital costs, capital structure, licensing time, construction time, rates of return on capital, tax rates, operating costs, and depreciation method of the plant to calculate the cash flow for the entire lifetime of the project. The financial and tax structure for both investor-owned utilities and municipal utilities can be simulated through varying the rates of return on equity and debt, the debt-equity ratios, and tax rates. The Discounted Cash Flow Model uses the principal that the present worth of the revenues will be equal to the present worth of the expenses including the return on investment over the economic life of the project. This manual explains how to prepare the input data, execute cases, and interpret the output results. (RWR)

Huber, H.D.; Bloomster, C.H.

1979-02-01T23:59:59.000Z

35

Updated Capital Cost Estimates for Electricity Generation Plants  

Reports and Publications (EIA)

This paper provides information on the cost of building new electricity power plants. These cost estimates are critical inputs in the development of energy projections and analyses.

Michael Leff

2010-11-18T23:59:59.000Z

36

DOE Seeks Input On Addressing Contractor Pension and Medical Benefits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Input On Addressing Contractor Pension and Medical Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 - 12:10pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced in the Federal Register that it is seeking public comment on how to address the increasing costs and liabilities of contractor employee pension and medical benefits. Under the Department of Energy's unique Management and Operating and other site management contracts, DOE reimburses its contractors for allowable costs incurred in providing contractor employee pension and medical benefits to current employees and retirees. In FY2006, these costs reached approximately $1.1 billion - a more than 226 percent increase since FY2000 - and are expected to grow in future years.

37

Code Completion From Abbreviated Input  

E-Print Network (OSTI)

Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated input - a different approach from conventional ...

Miller, Robert C.

38

The Complex and Multi-Faceted Nature of School Construction Costs: Factors Affecting California. A Report to the American Institute of Architects California Council  

E-Print Network (OSTI)

construction contract bid project costs comparable, below,of actual final project costs, and are highly applicable tothe construction project cost. The savings are realized over

Vincent, Jeffrey M; McKoy, Deborah

2008-01-01T23:59:59.000Z

39

Life-cycle cost analysis of energy efficiency design options for residential furnaces and boilers  

E-Print Network (OSTI)

of separate costs for natural gas or oil, and electricity.receives oil-fired boilers INPUTS First Cost Inputs The flowfurnaces, and oil-fired furnaces, we scaled the cost for

Lutz, James; Lekov, Alex; Whitehead, Camilla Dunham; Chan, Peter; Meyers, Steve; McMahon, James

2004-01-01T23:59:59.000Z

40

Wind Electrolysis: Hydrogen Cost Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

which needs to be 44% or better along with relatively high wind speeds. Along with low production costs, however, delivery and storage costs will also factor into the final cost...

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Refinery and Blender Net Inputs  

Annual Energy Outlook 2012 (EIA)

Refinery and Blender Net Inputs Crude OIl ... 14.54 15.14 15.26 15.08 14.51 15.30 15.70 14.93 14.47 15.30 15.54 14.97 15.01...

42

Commercial equipment cost database  

SciTech Connect

This report, prepared for DOE, Office of Codes and Standards, as part of the Commercial Equipment Standards Program at Pacific Northwest Laboratory, specifically addresses the equipment cost estimates used to evaluate the economic impacts of revised standards. A database including commercial equipment list prices and estimated contractor costs was developed, and through statistical modeling, estimated contractor costs are related to equipment parameters including performance. These models are then used to evaluate cost estimates developed by the ASHRAE 90.1 Standing Standards Project Committee, which is in the process of developing a revised ASHRAE 90.1 standard. The database will also be used to support further evaluation of the manufacturer and consumer impacts of standards. Cost estimates developed from the database will serve as inputs to economic modeling tools, which will be used to estimate these impacts. Preliminary results suggest that list pricing is a suitable measure from which to estimate contractor costs for commercial equipment. Models developed from these cost estimates accurately predict estimated costs. The models also confirm the expected relationships between equipment characteristics and cost. Cost models were developed for gas-fired and electric water heaters, gas-fired packaged boilers, and warm air furnaces for indoor installation. Because of industry concerns about the use of the data, information was not available for the other categories of EPAct-covered equipment. These concerns must be addressed to extend the analysis to all EPAct equipment categories.

Freeman, S.L.

1995-01-01T23:59:59.000Z

43

A cost analysis model for heavy equipment  

Science Conference Proceedings (OSTI)

Total cost is one of the most important factors for a heavy equipment product purchase decision. However, the different cost views and perspectives of performance expectations between the different involved stakeholders may cause customer relation problems ... Keywords: Cost responsibilities, Operating costs, Ownership costs, Post-Manufacturing Product Cost (PMPC), System life-cycle cost

Shibiao Chen; L. Ken Keys

2009-05-01T23:59:59.000Z

44

Environmental issues of material input in CDTE-module manufacturing  

DOE Green Energy (OSTI)

The goal of a low-cost and high-volume photovoltaic (PV) module fabrication demands an optimized process sequence to guarantee product quality and module stability on a long-term basis. Nevertheless, large-scale module manufacturing uses several input and auxiliary materials and generates waste from processing output materials. The mining and refining of the PV manufacturing material consumes input and auxiliary material and also creates waste. Therefore, investigations into these materials were conducted with respect to their risk potential for environment and health.

Steinberger, H.; Hochwimmer, R.; Schmid, H. [Fraunhofer Inst. fuer Festkoerpertechnologie, Muenchen (Germany); Thumm, W.; Kettrup, A. [GSF, Oberschleissheim (Germany). Inst. fuer Oekologische Chemie; Moskowitz, P. [Brookhaven National Lab., Upton, NY (United States). Biomedical and Environmental Assessment Group

1995-12-31T23:59:59.000Z

45

Electricity Regulation in California and Input Market Distortions  

E-Print Network (OSTI)

We provide an analysis of the soft price cap regulation that occurred in Californias electricity market between December 2000 and June 2001. We demonstrate the incentive it created to distort the prices of electricity inputs. After introducing a theoretical model of the incentive, we present empirical data from two important input markets: pollution emissions permits and natural gas. We find substantial evidence that generators manipulated these costs in a way that allowed them to justify bids in excess of the price cap and earn higher rents than they could otherwise. Our analysis suggests that the potential benefits of soft price cap regulation were likely undone by such behavior. 1

Mark R. Jacobsen; Azeem M. Shaikh

2004-01-01T23:59:59.000Z

46

On the Value of Input-Efficiency, Capacity-Efficiency, and the Flexibility to Rebalance Them  

E-Print Network (OSTI)

Abstract: A common characteristic of basic material manufacturers (which account for 85 % of all industrial energy use) and of cleantech manufacturers is that they are price-takers in their input and output markets. Variability in those prices has implications for how much a manufacturer should invest in three fundamental types of process improvement. Input price variability reduces the value of improving input-efficiency (output produced per unit input) but increases that of capacityefficiency (the rate at which a production facility can convert input into output). Output price variability increases the value of capacity-efficiency, but it increases the value of input-efficiency if and only if the expected margin is small. Moreover, as the expected input cost rises, the value of input-efficiency decreases. A third type of process improvement is to develop flexibility in inputefficiency versus capacity-efficiency (the ability to respond to a rise in input cost or fall in output price by increasing input-efficiency at the expense of capacity-efficiency). The value of this flexibility decreases with variability in input and output prices, if and only if the expected margin is thin. Together, these results suggest that a carbon tax or cap-and-trade system may reduce investment by basic material manufacturers in improving energy-efficiency.

Erica L. Plambeck; Terry A. Taylor

2013-01-01T23:59:59.000Z

47

Table 8. Capacity and Fresh Feed Input to Selected Downstream ...  

U.S. Energy Information Administration (EIA)

Capacity Inputs CapacityInputs Capacity Inputs Table 8. ... (EIA) Form EIA-820, "Annual Refinery Report." Inputs are from the form EIA-810, "Monthly Refinery Report."

48

DOE-2 Input File From WINDOW  

NLE Websites -- All DOE Office Websites (Extended Search)

an EnergyPlus input file from WINDOW 5 Last update: 12232008 01:54 PM Creating an EnergyPlus Input File for One Window In the WINDOW Window Library, which defines a complete...

49

DOE-2 Input File From WINDOW  

NLE Websites -- All DOE Office Websites (Extended Search)

a DOE2 input file from WINDOW 5 Last update: 02012008 01:19 PM Creating a DOE-2 Input File for One Window In the WINDOW Window Library, which defines a complete window including...

50

Federal Energy Management Program: Energy Cost Calculator for...  

NLE Websites -- All DOE Office Websites (Extended Search)

Urinals Vary water cost, frequency of operation, and or efficiency level. INPUT SECTION This calculator assumes that early replacement of a urinal or toilet will take place with...

51

Energy and Cost Savings Calculators for Energy-Efficient Products  

Energy.gov (U.S. Department of Energy (DOE))

The energy and cost calculators below allow Federal agencies to enter their own input values (such as utility rates, hours of use) to estimate energy and cost savings for energy-efficient products....

52

Energy Input Output Calculator | Open Energy Information  

Open Energy Info (EERE)

Input Output Calculator Input Output Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Input-Output Calculator Agency/Company /Organization: Department of Energy Sector: Energy Focus Area: Energy Efficiency Resource Type: Online calculator User Interface: Website Website: www2.eere.energy.gov/analysis/iocalc/Default.aspx Web Application Link: www2.eere.energy.gov/analysis/iocalc/Default.aspx OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: EERE Energy Input-Output Calculator[1] The Energy Input-Output Calculator (IO Calculator) allows users to estimate the economic development impacts from investments in alternate electricity generating technologies. About the Calculator The Energy Input-Output Calculator (IO Calculator) allows users to estimate

53

Input apparatus for dynamic signature verification systems  

DOE Patents (OSTI)

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

EerNisse, Errol P. (Albuquerque, NM); Land, Cecil E. (Albuquerque, NM); Snelling, Jay B. (Albuquerque, NM)

1978-01-01T23:59:59.000Z

54

Long-run marginal costs lower than average costs  

SciTech Connect

The thesis of this article is that the long-run marginal costs of electricity are not always greater than the present average costs, as is often assumed. As long as short-run costs decrease with new plant additions, the long-run marginal cost is less than long-run average cost. When average costs increase with new additions, long-run marginal costs are greater than long-run average costs. The long-run marginal costs of a particular utility may be less than, equal to, or greater than its long-run average costs - even with inflation present. The way to determine which condition holds for a given utility is to estimate costs under various combinations of assumptions: probable load growth, zero load growth, and load growth greater than expected; and changes in load factor with attendant costs. Utilities that can demonstrate long-run marginal costs lower than long-run average costs should be encouraged to build plant and increase load, for the resulting productivity gains and slowing of inflation. Utilities that face long-run marginal costs greater than long-run average costs should discourage growth in sales through any available means.

Hunter, S.R.

1980-01-03T23:59:59.000Z

55

An analysis of factors influencing wheat flour yield.  

E-Print Network (OSTI)

??The cost of wheat is the largest input cost for a flour mill, and as a result, profitability in wheat flour milling is determined in (more)

Mog, David L.

2011-01-01T23:59:59.000Z

56

Electricity Costs  

NLE Websites -- All DOE Office Websites (Extended Search)

Carbon Emissions Caps and the Impact of a Radical Change in Nuclear Electricity Costs journal International Journal of Energy Economics and Policy volume year month chapter...

57

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

DOE Green Energy (OSTI)

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

NONE

1995-01-31T23:59:59.000Z

58

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

SciTech Connect

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

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

1996-03-31T23:59:59.000Z

59

Deriving input syntactic structure from execution  

Science Conference Proceedings (OSTI)

Program input syntactic structure is essential for a wide range of applications such as test case generation, software debugging and network security. However, such important information is often not available (e.g., most malware programs make use of ... Keywords: bottom-up grammar, control dependence, input lineage, reverse engineering, syntax tree, top-down grammar

Zhiqiang Lin; Xiangyu Zhang

2008-11-01T23:59:59.000Z

60

U.S. Weekly Inputs & Utilization  

U.S. Energy Information Administration (EIA)

Crude Oil Inputs: 16,237: 16,031: 15,965: 15,893: 15,611: 15,845: 1982-2013: Gross Inputs: 16,539: 16,448: 16,257: 16,200: 15,927: 16,209: 1990-2013: Operable ...

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Designating required vs. optional input fields  

Science Conference Proceedings (OSTI)

This paper describes a study comparing different techniques for visually distingishing required from optional input fields in a form-filling application. Seven techniques were studied: no indication, bold field labels, chevrons in front of the labels, ... Keywords: data input, optional fields, required fields, visual design

Thomas S. Tullis; Ana Pons

1997-03-01T23:59:59.000Z

62

SWAT 2012 Input/Output Documentation  

E-Print Network (OSTI)

The Soil and Water Assessment Tool (SWAT) is a comprehensive model that requires a diversity of information in order to run. Novice users may feel overwhelmed by the variety and number of inputs when they first begin to use the model. This document provides a full description of model inputs. The inputs are organized by topic and emphasis is given to differentiating required inputs from optional inputs. The first chapter focuses on assisting the user in identifying inputs that must be defined for their particular dataset. The remaining chapters list variables by file and discuss methods used to measure or calculate values for the input parameters. SWAT is a public domain model jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M University System. SWAT is a small watershed to river basin-scale model to simulate the quality and quantity of surface and ground water and predict the environmental impact of land use, land management practices, and climate change. SWAT is widely used in assessing soil erosion prevention and control, non-point source pollution control and regional management in watersheds. Download the SWAT model, or read more information at the SWAT website.

Arnold, J.G.; Kiniry, J.R.; Srinivasan, R.; Williams, J.R.; Haney, E.B.; Neitsch, S.L.

2013-03-04T23:59:59.000Z

63

Estimating switching costs involved in changing mobile phone carriers in Japan: Evaluation of lock-in factors related to Japan's SIM card locks  

Science Conference Proceedings (OSTI)

This paper employs a web-based conjoint-type questionnaire to examine empirically user preference for a hypothetical Subscriber Identity Module (SIM) unlock situation in Japan's mobile phone market. This paper also analyzes carriers' other marketing ... Keywords: Discrete choice model, Mobile phone, Switching cost, Vertically integrated market

Akihiro Nakamura

2010-12-01T23:59:59.000Z

64

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining the equipment for reclamation? Types of Costs #12;· Marginal Cost: ­ Change in total cost ­ Any production process involves fixed and variable costs. As production increases/expands, fixed costs are unchanged, so

Boisvert, Jeff

65

Reclaiming lost capability in power plant coal conversions: an innovative, low-cost approach  

Science Conference Proceedings (OSTI)

Some of the capability lost during coal conversion can be recovered for midrange/peaking power generation through low cost, turbine cycle and economizer modifications. The additional output can be realized by shutting off adjacent high pressure feedwater heaters (as specified by turbogenerator manufacturers) and simultaneously increasing heat input to the economizer. The supplemental economizer heat input makes up for heat lost to the feedwater when extraction steam is shut off. Several options for applying this novel approach to capability recovery are described. The reclaimed capability is realized at somewhat lower efficiency but at low cost, compared to the overall cost of a coal conversion. Rather than return converted units to up to 100% oil or gas firing during periods of high system demand, the proposed method allows the continued comsumption of coal for the base-load portion of the plant's output. The development of the low NO/sub x/ Slagging Combustor will allow even the added economizer heat input to be supplied by relatively low cost coal. Following a brief review of factors affecting boiler capability in coal conversions and current approaches to coal conversion in this country and overseas, the results of a preliminary study that apply the proposed novel concept to a West Coast power plant are described.

Miliaras, E.S.; Kelleher, P.J.; Fujimura, K.S.

1983-01-01T23:59:59.000Z

66

Transmission line capital costs  

Science Conference Proceedings (OSTI)

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

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

1995-05-01T23:59:59.000Z

67

National Climate Assessment: Available Technical Inputs  

NLE Websites -- All DOE Office Websites (Extended Search)

Available Technical Inputs Print E-mail Available Technical Inputs Print E-mail Technical inputs for the 2013 National Climate Assessment were due March 1, 2012. Please note that these reports were submitted independently to the National Climate Assessment for consideration and have not been reviewed by the National Climate Assessment Development and Advisory Committee. Links to agency-sponsored reports will be posted here as they are made available. Sectors National Climate Assessment Health Sector Literature Review and Bibliography. Technical Input for the Interagency Climate Change and Human Health Group, September 2012. Overview Bibliography Bibliography User's Guide Search Strategy and Results Walthall et al. 2012. Climate Change and Agriculture in the United States: Effects and Adaptation. USDA Technical Bulletin 1935. Washington, DC. 186 pages. | Report FAQs

68

Wind Energy Input to the Ekman Layer  

Science Conference Proceedings (OSTI)

Wind stress energy input through the surface ageostrophic currents is studied. The surface ageostrophic velocity is calculated using the classical formula of the Ekman spiral, with the Ekman depth determined from an empirical formula. The total ...

Wei Wang; Rui Xin Huang

2004-05-01T23:59:59.000Z

69

Biotrans: Cost Optimization Model | Open Energy Information  

Open Energy Info (EERE)

Biotrans: Cost Optimization Model Biotrans: Cost Optimization Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Biotrans: Cost Optimization Model Focus Area: Ethanol Topics: Market Analysis Website: www.ecn.nl/units/ps/models-and-tools/biotrans/ Equivalent URI: cleanenergysolutions.org/content/biotrans-cost-optimization-model,http Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration & Implementation BIOTRANS optimizes the biofuel supply chain allocation by finding the least-cost configuration of resources and trade to meet a specified biofuel demand in the European transportation sector. The user can constrain the optimization by inputting a number of economic and technological assumptions for a specific target year. References Retrieved from

70

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

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building Environment, 1991" " (Estimates in Trillion Btu)" ,,"Presence of Computer Controls" ,," for Buildings Environment",,"RSE" "Enclosed Floorspace and"," ","--------------","--------------","Row" "Percent Conditioned Floorspace","Total","Present","Not Present","Factors" " "," " "RSE Column Factors:",0.8,1.3,0.9 "ALL SQUARE FEET CATEGORIES" "Approximate Conditioned Floorspace"

71

Agricultural and Environmental Input Parameters for the Biosphere Model  

SciTech Connect

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

K. Rasmuson; K. Rautenstrauch

2004-09-14T23:59:59.000Z

72

Electric power substation capital costs  

SciTech Connect

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

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

1997-12-01T23:59:59.000Z

73

Total Blender Net Input of Petroleum Products  

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

Input Input Product: Total Input Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquid Petroleum Gases Normal Butane Isobutane Other Liquids Oxygenates/Renewables Methyl Tertiary Butyl Ether (MTBE) Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - Conventional, CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

74

Opportunities for Public Input Into DOE Projects  

NLE Websites -- All DOE Office Websites (Extended Search)

Opportunities for Public Input Into DOE Projects Opportunities for Public Input Into DOE Projects There are currently several DOE-proposed activities that citizens can comment on in the near future. Here is a summary of each, as well as a description of how to provide your input into the project: Hanford Draft Closure and Waste Management Environmental Impact Statement Idahoans might be interested in this document because one of the proposed actions involves sending a small amount of radioactive waste (approximately 5 cubic meters of special reactor components) to the Idaho Nuclear Technology and Engineering Center on DOE's Idaho Site for treatment. Here is a link to more information about the document: http://www.hanford.gov . A public hearing on the draft EIS will be held in Boise on Tuesday, Feb. 2 at the Owyhee Plaza Hotel. It begins at 6 p.m.

75

PUBLIC INFORMATION AND INPUT ON WIPP  

E-Print Network (OSTI)

PUBLIC INFORMATION AND INPUT ON WIPP Get The Information You Need 1. Check the EPA Website, Fact Sheets and Issue Papers. EPA will make sure that key information is available on its WIPP Website. EPA the EPA WIPP Information Line at 1-800-331-WIPP (1-800-331-9477) to obtain information on upcoming events

76

Efficient concurrency-bug detection across inputs  

Science Conference Proceedings (OSTI)

In the multi-core era, it is critical to efficiently test multi-threaded software and expose concurrency bugs before software release. Previous work has made significant progress in detecting and validating concurrency bugs under a given input. Unfortunately, ... Keywords: bug detection, concurrency bugs, multi-threaded software, software testing

Dongdong Deng, Wei Zhang, Shan Lu

2013-10-01T23:59:59.000Z

77

Gravity Transform for Input Conditioning in  

E-Print Network (OSTI)

Gravity Transform for Input Conditioning in Brain Machine Interfaces António R. C. Paiva, José C. Motivation 2. Methods i. Gravity Transform ii. Modeling and output sensitivity analysis 3. Data Analysis #12;3 Outline 1. Motivation 2. Methods i. Gravity Transform ii. Modeling and output sensitivity analysis 3. Data

Paiva, António R. C.

78

Wind Energy Input to the Surface Waves  

Science Conference Proceedings (OSTI)

Wind energy input into the ocean is primarily produced through surface waves. The total rate of this energy source, integrated over the World Ocean, is estimated at 60 TW, based on empirical formulas and results from a numerical model of surface ...

Wei Wang; Rui Xin Huang

2004-05-01T23:59:59.000Z

79

Hydrogen Generation Rate Model Calculation Input Data  

DOE Green Energy (OSTI)

This report documents the procedures and techniques utilized in the collection and analysis of analyte input data values in support of the flammable gas hazard safety analyses. This document represents the analyses of data current at the time of its writing and does not account for data available since then.

KUFAHL, M.A.

2000-04-27T23:59:59.000Z

80

Repeat on input for data flow computers  

DOE Patents (OSTI)

A processing node for a data flow parallel processing computer is activated by an input token from the system. The token or the stored information in the node includes information to cause the node to repeat a specified sequence of operations upon initiation by the token, thereby increasing the efficiency system for some computing operations.

Grafe, V.G.; Hoch, J.E.

1989-12-27T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Multiple Input Microcantilever Sensor with Capacitive Readout  

DOE Green Energy (OSTI)

A surface-micromachined MEMS process has been used to demonstrate multiple-input chemical sensing using selectively coated cantilever arrays. Combined hydrogen and mercury-vapor detection was achieved with a palm-sized, self-powered module with spread-spectrum telemetry reporting.

Britton, C.L., Jr.; Brown, G.M.; Bryan, W.L.; Clonts, L.G.; DePriest, J.C.; Emergy, M.S.; Ericson, M.N.; Hu, Z.; Jones, R.L.; Moore, M.R.; Oden, P.I.; Rochelle, J.M.; Smith, S.F.; Threatt, T.D.; Thundat, T.; Turner, G.W.; Warmack, R.J.; Wintenberg, A.L.

1999-03-11T23:59:59.000Z

82

On the Input Problem for Massive Modularity  

Science Conference Proceedings (OSTI)

Jerry Fodor argues that the massive modularity thesis -- the claim that (human) cognition is wholly served by domain specific, autonomous computational devices, i.e., modules -- is a priori ... Keywords: Fodor, Sperber, input problem, language faculty, massive modularity, theory of mind

J. Collins

2005-02-01T23:59:59.000Z

83

Evaluating capacitive touch input on clothes  

Science Conference Proceedings (OSTI)

Wearable computing and smart clothing have attracted a lot of attention in the last years. For a variety of applications, it can be seen as potential future direction of mobile user interfaces. In this paper, we concentrate on usability and applicability ... Keywords: capacitive touch, design guidelines, input on textiles, wearable controls

Paul Holleis; Albrecht Schmidt; Susanna Paasovaara; Arto Puikkonen; Jonna Hkkil

2008-09-01T23:59:59.000Z

84

Modelling regional input markets with numerous processing plants: The case of green maize for biogas production in Germany  

Science Conference Proceedings (OSTI)

The location of first generation processing plants for biogas using bulky inputs is a prominent example of locational decisions of plants that face high per unit transport costs of feedstock and simultaneously depend to a large extent on feedstock availability. ... Keywords: Biogas, Biomass transportation, Competitive facility location, Modelling, Transport costs

Ruth Delzeit; Wolfgang Britz; Karin Holm-Mller

2012-06-01T23:59:59.000Z

85

PERSPECTIVES ON A DOE CONSEQUENCE INPUTS FOR ACCIDENT ANALYSIS APPLICATIONS  

Science Conference Proceedings (OSTI)

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

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

2008-07-30T23:59:59.000Z

86

Oil and Gas Lease Equipment and Operating Costs 1986 Through 2001  

U.S. Energy Information Administration (EIA)

Water handling costs are a major factor in coal bed methane operating costs and partially account for the difference in operating costs. Items tracked

87

T-623: HP Business Availability Center Input Validation Hole...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

88

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

89

U-219: Symantec Web Gateway Input Validation Flaws Lets Remote...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

9: Symantec Web Gateway Input Validation Flaws Lets Remote Users Inject SQL Commands, Execute Arbitrary Commands, and Change User Passwords U-219: Symantec Web Gateway Input...

90

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 -...

91

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

92

Documentation of Calculation Methodology, Input Data, and Infrastructu...  

NLE Websites -- All DOE Office Websites (Extended Search)

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

93

Table A31. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1991" " (Continued)" " (Estimates in Trillion Btu)",,,,"Value of Shipments and Receipts(b)" ,,,," (million dollars)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Groups and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors"

94

Multimodal interfaces with voice and gesture input  

SciTech Connect

The modalities of speech and gesture have different strengths and weaknesses, but combined they create synergy where each modality corrects the weaknesses of the other. We believe that a multimodal system such a one interwining speech and gesture must start from a different foundation than ones which are based solely on pen input. In order to provide a basis for the design of a speech and gesture system, we have examined the research in other disciplines such as anthropology and linguistics. The result of this investigation was a taxonomy that gave us material for the incorporation of gestures whose meanings are largely transparent to the users. This study describes the taxonomy and gives examples of applications to pen input systems.

Milota, A.D.; Blattner, M.M.

1995-07-20T23:59:59.000Z

95

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408) costs apply to those items that are consumed in production process and are roughly proportional to level in cash flow analysis and in the decision to use the equipment for reclamation? Types of Costs #12

Boisvert, Jeff

96

Risk information in support of cost estimates for the Baseline Environmental Management Report (BEMR). Section 1  

SciTech Connect

The Pacific Northwest Laboratory (PNL)(1) effort on the overall Baseline Environmental Management Report (BEMR) project consists of four installation-specific work components performed in succession. These components include (1) development of source terms, 92) collection of data and preparation of environmental settings reports, (3) calculation of unit risk factors, and (4) utilization of the unit risk factors in Automated Remedial Action Methodology (ARAM) for computation of target concentrations and cost estimates. This report documents work completed for the Nevada Test Site, Nevada, for components 2 and 3. The product of this phase of the BEMR project is the development of unit factors (i.e., unit transport factors, unit exposure factors, and unit risk factors). Thousands of these unit factors are gene rated and fill approximately one megabyte of computer information per installation. The final unit risk factors (URF) are transmitted electronically to BEMR-Cost task personnel as input to a computer program (ARAM). Abstracted files and exhibits of the URF information are included in this report. These visual formats are intended to provide a sample of the final task deliverable (the URF files) which can be easily read without a computer.

Gelston, G.M.; Jarvis, M.F.; Warren, B.R. [Pacific Northwest Lab., Richland, WA (United States); Von Berg, R. [ICF Kaiser Engineers, Inc., Oakland, CA (United States)

1995-06-01T23:59:59.000Z

97

Evaluation of Global Onshore Wind Energy Potential and Generation Costs  

SciTech Connect

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

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

2012-06-20T23:59:59.000Z

98

Increased Software Reliability Through Input Validation Analysis and Testing  

Science Conference Proceedings (OSTI)

The Input Validation Testing (IVT) technique has been developed to address the problem of statically analyzing input command syntax as defined in English textual interface and requirements specifications and then generating test cases for input validation ... Keywords: Software reliability, requirements analysis, system testing, quality control and assurance, interfaces, input validation

Jane Huffman Hayes; A. Jefferson Offutt

1999-11-01T23:59:59.000Z

99

East Coast (PADD 1) Gross Inputs to Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

East Coast (PADD 1) Gross Inputs to Atmospheric Crude Oil Distillation Units (Thousand Barrels per Day)

100

Rocky Mountains (PADD 4) Gross Inputs to Refineries (Thousand ...  

U.S. Energy Information Administration (EIA)

Gross Input to Atmospheric Crude Oil Distillation Units ; PAD District 4 Refinery Utilization and Capacity ...

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Refining District New Mexico Gross Inputs to Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

Refining District New Mexico Gross Inputs to Atmospheric Crude Oil Distillation Units (Thousand Barrels per Day)

102

Realistic costs of carbon capture  

Science Conference Proceedings (OSTI)

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.

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

103

PAFC Cost Challenges  

NLE Websites -- All DOE Office Websites (Extended Search)

PAFC Cost Challenges Sridhar Kanuri Manager, PAFC Technology *Sridhar.Kanuri@utcpower.com 2 AGENDA Purecell 400 cost challenge Cost reduction opportunities Summary 3 PURECELL ...

104

The role of natural resource and environmental economics in determining the trade-offs in consumption and production of energy inputs: The case of biomass energy crops  

DOE Green Energy (OSTI)

Natural resource economics issues deal with flows and funds of renewable and nonrenewable resources over time. These issues include topics concerned with management of fisheries, forests, mineral, energy resources, the extinction of species and the irreversibility of development over time. Environmental economics issues deal with regulation of polluting activities and the valuation of environmental amenities. In this study we outline a framework for studying both natural resource and environmental economics issues for any renewable or nonrenewable resource. Valuation from both the cost and benefit sides are addressed as they relate to the valuation of environmental programs or policies. By using this top-down approach to analyze and determine the costs and benefits of using renewable or nonrenewable resources, policy-makers on the global, national and local scales may be better informed as to the probable nonmarket and market ramifications of their natural resource and environmental policy decisions. This general framework for analysis is then focused to address biomass energy crops and their usage as inputs to energy production. As with any energy technology, a complete analysis must include an examination of the entire fuel cycle; specifically both production and consumption sides. From a production standpoint, market valuation issues such as crop management techniques, inputs to production, and community economics issues must be addressed as well as nonmarket valuation issues such as soil erosion, ground water effects and carbon sequestration. On the consumption side, market valuation considerations such as energy fuel efficiency and quality, cost of conversion and employment of labor are important factors while the critical nonmarket valuation factors are ambient air visibility, greenhouse gas release, and disposal of the by-products of conversion and combustion.

Downing, M.; Graham, R.L.

1993-12-31T23:59:59.000Z

105

EIA - Updated Capital Cost Estimates for Electricity Generation Plants  

U.S. Energy Information Administration (EIA)

Almost all of these factors can vary by region, as do capacity factors for renewable generation, operations and maintenance costs associated with individual ...

106

Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.2,1.1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",12605,1209,3303,6386,1706,2.9

107

Table A39. Selected Combustible Inputs of Energy for Heat, Power, and  

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

9. Selected Combustible Inputs of Energy for Heat, Power, and" 9. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type, Census" " Region, and End Use, 1991: Part 2" " (Estimates in Trillion Btu)" ,,,"Distillate",,,"Coal" ,"Net Demand",,"Fuel Oil",,,"(excluding","RSE" ,"for","Residual","and",,,"Coal Coke","Row" "End-Use Categories","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Factors" "Total United States" "RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6

108

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

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 2" ,,,"RSE" "SIC",,,"Row" "Code(a)","Industry Group and Industry","Total(b)","Factors" ,"RSE Column Factors:",1 20,"FOOD and KINDRED PRODUCTS" ,"Industry-Specific Technologies" ,"One or More Industry-Specific Technologies Present",2353,9 ," Infrared Heating",607,13 ," Microwave Drying",127,21 ," Closed-Cycle Heat Pump System Used to Recover Heat",786,19

109

Table A15. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," "," (million dollars)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Group and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors" ,"RSE Column Factors:",0.6,1.3,1,1,0.9,1.2,1.2

110

Table A41. Total Inputs of Energy for Heat, Power, and Electricity  

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

A41. Total Inputs of Energy for Heat, Power, and Electricity" A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",10743,1150,2819,5309,1464,2.6,,,"/WIR{D}~"

111

Ground motion input in seismic evaluation studies  

Science Conference Proceedings (OSTI)

This report documents research pertaining to conservatism and variability in seismic risk estimates. Specifically, it examines whether or not artificial motions produce unrealistic evaluation demands, i.e., demands significantly inconsistent with those expected from real earthquake motions. To study these issues, two types of artificial motions are considered: (a) motions with smooth response spectra, and (b) motions with realistic variations in spectral amplitude across vibration frequency. For both types of artificial motion, time histories are generated to match target spectral shapes. For comparison, empirical motions representative of those that might result from strong earthquakes in the Eastern U.S. are also considered. The study findings suggest that artificial motions resulting from typical simulation approaches (aimed at matching a given target spectrum) are generally adequate and appropriate in representing the peak-response demands that may be induced in linear structures and equipment responding to real earthquake motions. Also, given similar input Fourier energies at high-frequencies, levels of input Fourier energy at low frequencies observed for artificial motions are substantially similar to those levels noted in real earthquake motions. In addition, the study reveals specific problems resulting from the application of Western U.S. type motions for seismic evaluation of Eastern U.S. nuclear power plants.

Sewell, R.T.; Wu, S.C.

1996-07-01T23:59:59.000Z

112

Minimum Changeover Cost Arborescence  

E-Print Network (OSTI)

having minimum changeover cost, a cost that we now describe. ... We define the changeover cost at j, denoted by d(j), as the sum of the costs at j paid for each of ...

113

Energy Input, Carbon Intensity, and Cost for Ethanol Produced from Brown Seaweed  

E-Print Network (OSTI)

Fermentable fraction [a] Alginate Mannitol Laminarin Protein Cellulose [b] Celulose, fuans, lipids [c] #12

Victoria, University of

114

System cost model user`s manual, version 1.2  

SciTech Connect

The System Cost Model (SCM) was developed by Lockheed Martin Idaho Technologies in Idaho Falls, Idaho and MK-Environmental Services in San Francisco, California to support the Baseline Environmental Management Report sensitivity analysis for the U.S. Department of Energy (DOE). The SCM serves the needs of the entire DOE complex for treatment, storage, and disposal (TSD) of mixed low-level, low-level, and transuranic waste. The model can be used to evaluate total complex costs based on various configuration options or to evaluate site-specific options. The site-specific cost estimates are based on generic assumptions such as waste loads and densities, treatment processing schemes, existing facilities capacities and functions, storage and disposal requirements, schedules, and cost factors. The SCM allows customization of the data for detailed site-specific estimates. There are approximately forty TSD module designs that have been further customized to account for design differences for nonalpha, alpha, remote-handled, and transuranic wastes. The SCM generates cost profiles based on the model default parameters or customized user-defined input and also generates costs for transporting waste from generators to TSD sites.

Shropshire, D.

1995-06-01T23:59:59.000Z

115

Energy Efficiency Improvement and Cost Saving Opportunities for Cement Making. An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network (OSTI)

in start-up time and energy costs. The energy savings areload factor, running time, local energy costs, and available

Worrell, Ernst

2008-01-01T23:59:59.000Z

116

Estimates of Production Cost Variance Using Chronological Simulation  

Science Conference Proceedings (OSTI)

Forecasts of production costs are key inputs in the operational planning decisions of electric power utilities. This report describes the effects of uncertainty in annual load variation and uncertainty in generation availability on the variance of cost in an electrical power system.

1999-09-29T23:59:59.000Z

117

IQ-Station: a low cost portable immersive environment  

Science Conference Proceedings (OSTI)

The emergence of inexpensive 3D-TVs, affordable input and rendering hardware and open-source software has created a yeasty atmosphere for the development of low-cost immersive systems. A low cost system (here dubbed an IQ-station), fashioned from commercial ...

William R. Sherman; Patrick O'Leary; Eric T. Whiting; Shane Grover; Eric A. Wernert

2010-11-01T23:59:59.000Z

118

FACTORS AFFECTING THE COSTS OF CARBON SEQUESTRATION  

E-Print Network (OSTI)

No portion of this paper may be reproduced without permission of the authors. Discussion papers are research materials circulated by their authors for purposes of information and discussion. They have not undergone formal peer review or the editorial

Richard G. Newell; Robert N. Stavins; Richard G. Newell; Robert N. Stavins

1999-01-01T23:59:59.000Z

119

On the Wind Power Input to the Ocean General Circulation  

Science Conference Proceedings (OSTI)

The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically varying wind. Power ...

Xiaoming Zhai; Helen L. Johnson; David P. Marshall; Carl Wunsch

2012-08-01T23:59:59.000Z

120

On the Wind Power Input to the Ocean General Circulation  

E-Print Network (OSTI)

The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically ...

Zhai, Xiaoming

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

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

Annual Energy Outlook 2012 (EIA)

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

122

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

Gasoline and Diesel Fuel Update (EIA)

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

123

Estimation of time-dependent input from neuronal membrane potential  

Science Conference Proceedings (OSTI)

The set of firing rates of the presynaptic excitatory and inhibitory neurons constitutes the input signal to the postsynaptic neuron. Estimation of the time-varying input rates from intracellularly recorded membrane potential is investigated here. For ...

Ryota Kobayashi; Shigeru Shinomoto; Petr Lansky

2011-12-01T23:59:59.000Z

124

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

Gasoline and Diesel Fuel Update (EIA)

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

125

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

Gasoline and Diesel Fuel Update (EIA)

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

126

A survey of design issues in spatial input  

Science Conference Proceedings (OSTI)

We present a survey of design issues for developing effective free-space three-dimensional (3D) user interfaces. Our survey is based upon previous work in 3D interaction, our experience in developing free-space interfaces, and our informal observations ... Keywords: 3D interaction, ergonomics of virtual manipulation, haptic input, spatial input, two-handed input, virtual reality

Ken Hinckley; Randy Pausch; John C. Goble; Neal F. Kassell

1994-11-01T23:59:59.000Z

127

Cost objective PLM and CE  

E-Print Network (OSTI)

Concurrent engineering taking into account product life-cycle factors seems to be one of the industrial challenges of the next years. Cost estimation and management are two main strategic tasks that imply the possibility of managing costs at the earliest stages of product development. This is why it is indispensable to let people from economics and from industrial engineering collaborates in order to find the best solution for enterprise progress for economical factors mastering. The objective of this paper is to present who we try to adapt costing methods in a PLM and CE point of view to the new industrial context and configuration in order to give pertinent decision aid for product and process choices. A very important factor is related to cost management problems when developing new products. A case study is introduced that presents how product development actors have referenced elements to product life-cycle costs and impacts, how they have an idea bout economical indicators when taking decisions during the progression of the project of product development.

Nicolas Perry; Alain Bernard

2010-11-26T23:59:59.000Z

128

Project Anticipated Midpoint Date -1 January 2009 (MCP Index = 2454) Cost Escalation Factor = MCP Index 1 Jan 09 / MCP Index 1 Oct 2007 = 2454/2391 = 1.0263  

E-Print Network (OSTI)

ENGLISH Project Anticipated Midpoint Date - 1 January 2009 (MCP Index = 2454) Cost Escalation on historic construction award data. Unit costs for a category codes have a limited number of awarded projects. The init cost database includes only new construction projects and does not include data from renovation

US Army Corps of Engineers

129

U.S. Blender Net Input  

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

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Total Input 1,184,435 1,522,193 1,850,204 2,166,784 2,331,109 2,399,318 2005-2012 Natural Gas Plant Liquids and Liquefied Refinery Gases 3,445 5,686 6,538 7,810 10,663 2008-2012 Pentanes Plus 2,012 474 1,808 1,989 2,326 4,164 2005-2012 Liquid Petroleum Gases 2,971 3,878 4,549 5,484 6,499 2008-2012 Normal Butane 2,943 2,971 3,878 4,549 5,484 6,499 2005-2012 Isobutane 2005-2006 Other Liquids 1,518,748 1,844,518 2,160,246 2,323,299 2,388,655 2008-2012 Oxygenates/Renewables 234,047 274,974 286,837 295,004 2009-2012 Methyl Tertiary Butyl Ether (MTBE) 2005-2006 Renewable Fuels (incl. Fuel Ethanol) 234,047 274,974 286,837 295,004 2009-2012 Fuel Ethanol 131,810 182,772 232,677 273,107 281,507 287,433 2005-2012

130

U.S. Blender Net Input  

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

Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Total Input 206,541 217,867 212,114 216,075 219,783 208,203 2005-2013 Natural Gas Plant Liquids and Liquefied Refinery Gases 891 352 376 196 383 1,397 2008-2013 Pentanes Plus 261 301 313 67 287 393 2005-2013 Liquid Petroleum Gases 630 51 63 129 96 1,004 2008-2013 Normal Butane 630 51 63 129 96 1,004 2005-2013 Isobutane 2005-2006 Other Liquids 205,650 217,515 211,738 215,879 219,400 206,806 2008-2013 Oxygenates/Renewables 25,156 26,576 26,253 26,905 27,788 25,795 2009-2013 Methyl Tertiary Butyl Ether (MTBE) 2005-2006 Renewable Fuels (incl. Fuel Ethanol) 25,156 26,576 26,253 26,905 27,788 25,795 2009-2013 Fuel Ethanol 24,163 25,526 24,804 25,491 25,970 24,116 2005-2013

131

Standardized Cost Structure for the Environmental Industry  

Science Conference Proceedings (OSTI)

The underlying key to developing successful estimates, tracking project costs, and utilizing historical project cost information is the development of standardized and well-defined hierarchical listing of cost categories. Committees within the U.S. Federal agencies have pioneered efforts toward developing the Environmental Cost Element Structure (ECES), which is key in achieving these goals. The ECES was developed using an iterative process with input from federal agencies and industry. Experts from several disciplines participated including engineers, cost estimators, project/program managers, and contract personnel. The ECES benefits from an intense analytical effort, the knowledge gained from the maturation of the environmental industry, and incorporation of past user's experiences. Building upon this foundation, the E06 committee of the ASTM International has now fully developed and published a standard (ASTM 2150-04) that provides standardized cost categories with complete cost category definitions. This standard affords environmental and nuclear D and D project managers the opportunity to have a well defined hierarchical listing of their estimates and actual costs, readily adapted to performing summations and roll-ups, supported by a multi-level dictionary specifically defining the content of the cost elements as well as the summations. Owing to the dynamic nature of the environmental technologies, efforts need to be made to continue to update this standard by adding new technologies and methods as they are developed and employed in the field. Lastly, the Environmental Cost Element Structure that is embodied in this standard also presents opportunities to develop historical cost databases and comprehensive life cycle cost estimates and standardized cost estimating tools. (authors)

Skokan, B.; Melamed, D.; Guevara, K. [US DOE, Office of Project Planning and Controls, EM-32, 1000 Independence Ave. SW, Washington, DC 20585 (United States); Mallick, P. [US DOE, Office of Performance Assessment, EM-43, 1000 Independence Ave. SW, Washington, DC 20585 (United States); Bierman, G. [Legin Group, Inc., P.O. Box 3788, Gaithersburg, MD 20885-3788 (United States); Marshall, H.E. [Building and Fire Research Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Stop 8603, Gaithersburg, MD 20899-8603 (United States)

2006-07-01T23:59:59.000Z

132

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

DOE Green Energy (OSTI)

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

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

2010-10-01T23:59:59.000Z

133

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

SciTech Connect

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

Turchi, Craig (National Renewable Energy Laboratory, Golden, CO); Kolb, Gregory J.; Mehos, Mark Steven (National Renewable Energy Laboratory, Golden, CO); Ho, Clifford Kuofei

2010-08-01T23:59:59.000Z

134

Cost Study Manual  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

28, 2012 28, 2012 Cost Study Manual Executive Summary This Cost Study Manual documents the procedures for preparing a Cost Study to compare the cost of a contractor's employee benefits to the industry average from a broad-based national benefit cost survey. The annual Employee Benefits Cost Study Comparison (Cost Study) assists with the analysis of contractors' employee benefits costs. The Contracting Officer (CO) may require corrective action when the average benefit per capita cost or the benefit cost as a percent of payroll exceeds the comparator group by more than five percent. For example, if per capita benefit costs for the comparator group are $10,000 and the benefit costs as a percent of payroll for the comparator group are 20%, the threshold for the contractor's benefits as a

135

Development of a right-of-way cost estimation and cost estimate management process framework for highway projects  

E-Print Network (OSTI)

Escalation of right-of-way (ROW) costs have been shown to be a prime contributor to project cost escalation in the highway industry. Two problems contribute to ROW cost escalation: 1) the ROW cost estimation and cost estimate management process generally lacks structure and definition as compared to other areas of cost estimation; and 2) there is a lack of integration and communication between those responsible for ROW cost estimating and those responsible for general project cost estimating. The research for this thesis was preceded by a literature review to establish the basis for the study. Data collection was completed through interviews of seven state highway agencies (SHAs) and two local public agencies (LPAs). The findings of the research are presented in a set of ROW flowcharts which document the steps, inputs, and outputs of the ROW cost estimation and cost estimate management process. Three ROW cost estimates and a cost management process take place throughout project development. An effort was made from the onset of the research to relate the ROW cost estimating and cost estimate management process to the first four project development phases (planning, programming. preliminary design, and final design). There are five flowcharts produced as a result of this research: 1) an agency-level flowchart showing all cost estimates and the interaction of ROW with the project development process; 2) a conceptual ROW cost estimating flowchart which depicts the required steps during planning; 3) a baseline ROW cost estimating flowchart which depicts the required steps during programming; 4) an update ROW cost estimating flowchart which depicts the required steps during preliminary design to include a cost estimate management loop; and 5) a ROW cost management flowchart which depicts the required steps during final design. Although selected SHA contacts provided input following the development of the flowcharts, the flowcharts were only validated to a limited extent due to time and budget constraints. These flowcharts attempt to address the two contributing problems to ROW cost escalation by providing structure to the ROW cost estimation process and by developing the ROW process flowcharts linked to the project development process. Based on the input provided by SHA contacts, the flowcharts appear to have the potential to provide guidance to SHAs in improving the accuracy of ROW cost estimates through addressing these two problems.

Lucas, Matthew Allen

2007-12-01T23:59:59.000Z

136

Input devices in mental health applications: steering performance in a virtual reality paths with WiiMote  

Science Conference Proceedings (OSTI)

Recent studies present Virtual Reality (VR) as potentially effective technology in the Mental Health (MH) field. The objective of this paper is to evaluate two interaction techniques (traditional vs novel) using a popular and low-cost input device (WiiMote) ... Keywords: mental health, steering law, virtual reality

Maja Wrzesien; Mara Jos Ruprez; Mariano Alcaiz

2011-09-01T23:59:59.000Z

137

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

SciTech Connect

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

Rogge, Nicky, E-mail: Nicky.Rogge@hubrussel.be [Hogeschool-Universiteit Brussel (HUBrussel), Center for Business Management Research (CBMR), Warmoesberg 26, 1000 Brussels (Belgium); Katholieke Universiteit Leuven (KULeuven), Faculty of Business and Economics, Naamsestraat 69, 3000 Leuven (Belgium); De Jaeger, Simon [Katholieke Universiteit Leuven (KULeuven), Faculty of Business and Economics, Naamsestraat 69, 3000 Leuven (Belgium); Hogeschool-Universiteit Brussel (HUBrussel), Center for Economics and Corporate Sustainability (CEDON), Warmoesberg 26, 1000 Brussels (Belgium)

2012-10-15T23:59:59.000Z

138

Cost-effectiveness of multidisciplinary management of Tinnitus at a specialized Tinnitus centre  

E-Print Network (OSTI)

) will be quantified using the cost-effectiveness acceptability curve. Sensitivity analyses will be used to show the impact of variation in non-stochastic input parameters on the incremental cost- utility ratio, such as discount rate, unit prices, and design issues... using integral cost calcu- lations. Costs from productivity loss will be quantified using the friction cost method, as recommended in the Netherlands [28]. Ethical considerations Patients will be informed verbally and in written format about the research...

Cima, Rilana; Joore, Manuela; Maes, Iris; Scheyen, Dyon; El Refaie, Amr El; Baguley, David M; Vlaeyen, Johan W S; Anteunis, Lucien

2009-02-11T23:59:59.000Z

139

Energy Cost Calculator for Faucets and Showerheads | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Faucets and Showerheads Faucets and Showerheads Energy Cost Calculator for Faucets and Showerheads October 8, 2013 - 2:35pm Addthis Vary utility cost, hours of operation, and /or efficiency level. INPUT SECTION Input the following data (if any parameter is missing, calculator will set to the default value). Defaults Water Saving Product Faucet Showerhead Faucet Showerhead Flow Rate gpm 2.2 gpm 2.5 gpm Water Cost (including waste water charges) $/1000 gal $4/1000 gal $4/1000 gal Gas Cost $/therm 0.60 $/therm 0.60 $/therm Electricity Cost $/kWh 0.06 $/kWh 0.06 $/kWh Minutes per Day of Operation minutes 30 minutes 20 minutes Days per Year of Operation days 260 days 365 days Quantity to be Purchased unit(s) 1 unit 1 unit Calculate Reset

140

Economic Effect on Agricultural Production of Alternative Energy Input Prices: Texas High Plains  

E-Print Network (OSTI)

The Arab oil embargo of 1973 awakened the world to the reality of energy shortages and higher fuel prices. Agriculture in the United States is highly mechanized and thus energy intensive. This study seeks to develop an evaluative capability to readily determine the short-run effect of rising energy prices on agricultural production. The results are measured in terms of demand schedules for each input investigated, net revenue adjustments, cropping pattern shifts, and changes in agricultural output. The High Plains of Texas was selected as a study area due to the heterogeneous nature of agricultural production in the region and highly energy intensive methods of production employed. The region is associated with a diversity in crops and production practices as well as a high degree of mechanization and irrigation, which means agriculture is very dependent upon energy inputs and, in turn, is significantly affected by energy price changes. The study area was defined by the Texas Agricultural Extension subregions of High Plains II, High Plains III, and High Plains IV. The crops chosen for study were cotton, grain sorghum, wheat, corn, and soybeans. The energy and energy-related inputs under investigation were diesel, herbicide, natural gas, nitrogen fertilizer, and water. Mathematical linear programming was used as the analytical technique with parametric programming techniques incorporated into the LP model to evaluate effect of varying input price parameters over a specified range. Thus, demand schedules were estimated. The objective function was constructed using variable costs only; no fixed costs are considered. Therefore, the objective function maximizes net revenue above variable costs and thus limits the study to the short run. The data bases for the model were crop enterprise budgets developed by the Texas Agricultural Extension Service. These budgets were modified to adapt them to the study. Particularly important was the substitution of owner-operated harvesting equipment for custom-harvesting costs. This procedure made possible the delineation of fuel use by crop and production alternative which was necessary information in the accounting of costs. The completed LP model was applied to 16 alternative situations made up of various input and product price combinations which are considered as feasible in the short run future. The results reveal that diesel consumption would change very little in the short run unless commodity prices simultaneously decline below the lowest prices since 1971 or unless diesel price approaches $2.00 per gallon. Under average commodity price conditions, natural gas consumption would not decline appreciably until the price rose above $4.00 per 1000 cubic feet (mcf). Even when using the least product prices since 1971, natural gas would be consumed in substantial amounts as long as the price was below $1.28 per Mcf. The findings regarding nitrogen indicate that present nitrogen prices are within a critical range such that consumption would be immediately affected by nitrogen price increases. Water price was considered as the price a farmer can afford to pay for water above pumping and distribution costs. Application of water was defined as the price that would be paid for imported water. Under average commodity price conditions, the study results show that as water price rises from zero dollars to $22 per acre foot there would be less than a 4 percent reduction in consumption. However, as the price continues to rise, consumption would decline dramatically reaching zero at a water price of $71.75 per acre foot. This study indicates that rising input prices would cause acreage shifts from irrigated to dryland; however, with average commodity prices, these shifts do not occur until diesel reaches $2.69 per gallon, or natural gas sells for $1.92 per Mcf, or nitrogen price is $.41 per pound, or water price reaches $14.69 per acre foot. In general, the first crops that would shift out of production as energy input prices rise woul

Adams, B. M.; Lacewell, R. D.; Condra, G. D.

1976-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Transparent Cost Database | Transparent Cost Database  

Open Energy Info (EERE)

Hide data for this chart (-)Show data for this chart (+) Loading data... Transparent Cost Database Generation Showing: Historical Projections Year Published: Release mouse to...

142

Prediction markets for cost and risk assessment  

E-Print Network (OSTI)

Several temporal and political factors can sometimes limit the effectiveness of traditional methods of project tracking and cost estimation. A large organization is susceptible to internal and external risks that are ...

Aggarwal, Taroon

2011-01-01T23:59:59.000Z

143

Low-Cost Installation of Concentrating Photovoltaic  

E-Print Network (OSTI)

Low-Cost Installation of Concentrating Photovoltaic Renewable Energy Research Renewable Energy Research http://www.energy.ca.gov/research/renewabl e/index.html August 2011 The Issue Several factors inhibit the potential growth of the California photovoltaic market: high installation costs, expenses

144

INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE ...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating Procedures INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating...

145

Early Station Costs Questionnaire  

NLE Websites -- All DOE Office Websites (Extended Search)

Early Station Costs Questionnaire Early Station Costs Questionnaire Marc Melaina Hydrogen Technologies and Systems Center Market Readiness Workshop February 16-17th, 2011 Washington, DC Questionnaire Goals * The Early Station Costs questionnaire provides an anonymous mechanism for organizations with direct experience with hydrogen station costs to provide feedback on current costs, near-term costs, economies of scale, and R&D priorities. * This feedback serves the hydrogen community and government agencies by increasing awareness of the status of refueling infrastructure costs National Renewable Energy Laboratory Innovation for Our Energy Future Questions for Market Readiness Workshop Attendees * Are these questions the right ones to be asking?

146

Press Release: DOE Seeks Public Input for Depleted Uranium Hexafluorid...  

NLE Websites -- All DOE Office Websites (Extended Search)

Perry, (865) 576-0885 September 24, 2001 www.oakridge.doe.gov DOE SEEKS PUBLIC INPUT FOR DEPLETED URANIUM HEXAFLUORIDE ENVIRONMENTAL IMPACT STATEMENT Public Meetings Planned in...

147

Cost Estimating Handbook for Environmental Restoration  

Science Conference Proceedings (OSTI)

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.

NONE

1990-09-01T23:59:59.000Z

148

Microalgae Production Cost Analysis: Development of Goals And Its Implications On Future Research  

DOE Green Energy (OSTI)

This paper presents an overview of the production and economic models, with specific discussion of input assumptions used to derive microalgae product costs for the state of the art, theoretical-best and for the 1994 attainability target. These product cost estimates form the basis for developing program cost goals for microalgae fuel technology.

Hill, A. M.; McIntosh, R. P.

1984-01-17T23:59:59.000Z

149

Low Cost, Durable Seal  

NLE Websites -- All DOE Office Websites (Extended Search)

Cost, Durable Seal Cost, Durable Seal George M. Roberts UTC Power Corporation February 14, 2007 This presentation does not contain any proprietary or confidential information 1 LOW COST, DURABLE SEAL Outline * Project Objective * Technical Approach * Timeline * Team Roles * Budget * Q&A 2 LOW COST, DURABLE SEAL Project Objective Develop advanced, low cost, durable seal materials and sealing techniques amenable to high volume manufacture of PEM cell stacks. DOE Targets/Goals/Objectives Project Goal Durability Transportation: 5,000 hr Stationary: 40,000 hr Durability Improve mechanical and chemical stability to achieve 40,000 hr of useful operating life. Low Cost Low Cost A material cost equivalent to or less than the cost of silicones in common use. 3 LOW COST, DURABLE SEAL

150

Unit costs of waste management operations  

SciTech Connect

This report provides estimates of generic costs for the management, disposal, and surveillance of various waste types, from the time they are generated to the end of their institutional control. Costs include monitoring and surveillance costs required after waste disposal. Available data on costs for the treatment, storage, disposal, and transportation of spent nuclear fuel and high-level radioactive, low-level radioactive, transuranic radioactive, hazardous, mixed (low-level radioactive plus hazardous), and sanitary wastes are presented. The costs cover all major elements that contribute to the total system life-cycle (i.e., ``cradle to grave``) cost for each waste type. This total cost is the sum of fixed and variable cost components. Variable costs are affected by operating rates and throughput capacities and vary in direct proportion to changes in the level of activity. Fixed costs remain constant regardless of changes in the amount of waste, operating rates, or throughput capacities. Key factors that influence cost, such as the size and throughput capacity of facilities, are identified. In many cases, ranges of values for the key variables are presented. For some waste types, the planned or estimated costs for storage and disposal, projected to the year 2000, are presented as graphics.

Kisieleski, W.E.; Folga, S.M.; Gillette, J.L.; Buehring, W.A.

1994-04-01T23:59:59.000Z

151

External Costs of Energy Technologies Position Statement  

E-Print Network (OSTI)

The American Nuclear Society believes that decisions concerning national energy policy should appropriately take external costs into account. In some energy options, external costs are not included in the cost of the energy produced; instead, they are borne by parties not involved in the original transaction, generally without consent or due compensation. External costs 1 may be related to many factors, including impacts on public health, environmental impacts, degradation of quality of life, degradation of agricultural land, depletion of natural resources, and reduction in security. These costs are incurred at various stages of the life cycle of an energy technology. While some energy technologies may appear to have smaller environmental impacts than others, their external costs may be significant when the complete life cycle costs are taken into account. Particularly, an energy source that is inherently intermittent will require, for applications demanding reliable performance, either a backup energy supply or an energy storage facility, whose external costs are not negligible. On the other hand, practically all the costs to make nuclear power technology safe and secure, including the costs of waste management and disposal, are already incorporated into the cost of electricity generation. 2 Appropriately accounting for external costs should be an essential element in energy policy since in doing so, the final product is compared based on a consistent set of parameters for all technologies, and the resulting mix of energy sources will more appropriately balance the competing economic, environmental, and social needs from energy production and consumption.

unknown authors

2010-01-01T23:59:59.000Z

152

Defense waste transportation: cost and logistics studies  

SciTech Connect

Transportation of nuclear wastes from defense programs is expected to significantly increase in the 1980s and 1990s as permanent waste disposal facilities come into operation. This report uses models of the defense waste transportation system to quantify potential transportation requirements for treated and untreated contact-handled transuranic (CH-TRU) wastes and high-level defense wastes (HLDW). Alternative waste management strategies in repository siting, waste retrieval and treatment, treatment facility siting, waste packaging and transportation system configurations were examined to determine their effect on transportation cost and hardware requirements. All cost estimates used 1980 costs. No adjustments were made for future changes in these costs relative to inflation. All costs are reported in 1980 dollars. If a single repository is used for defense wastes, transportation costs for CH-TRU waste currently in surface storage and similar wastes expected to be generated by the year 2000 were estimated to be 109 million dollars. Recovery and transport of the larger buried volumes of CH-TRU waste will increase CH-TRU waste transportation costs by a factor of 70. Emphasis of truck transportation and siting of multiple repositories would reduce CH-TRU transportation costs. Transportation of HLDW to repositories for 25 years beginning in 1997 is estimated to cost $229 M in 1980 costs and dollars. HLDW transportation costs could either increase or decrease with the selection of a final canister configuration. HLDW transportation costs are reduced when multiple repositories exist and emphasis is placed on truck transport.

Andrews, W.B.; Cole, B.M.; Engel, R.L.; Oylear, J.M.

1982-08-01T23:59:59.000Z

153

New England Wind Forum: Cost Trends  

Wind Powering America (EERE)

Cost Trends Cost Trends Figure 1: Cost of Energy and Cumulative Domestic Capacity This graph shows how the cumulative domestic wind capacity (MW) has increased since 1980, while the cost of energy from wind power has declined by a factor of approximately 20 times during the same period but has increased slightly since 2001. Click on the image to view a larger version. This graph shows how the cumulative domestic wind capacity (MW) has increased since 1980, while the cost of energy from wind power has declined by a factor of approximately 20 times during the same period but has increased slightly since 2001. View a larger version of the graph. Overall, the wind industry is experiencing long-term decreases in the cost to produce wind-generated electricity (Figure 1), despite recent short-term increases in upfront equipment costs. Even in the short term, however, the effect of increases in up-front capital costs on the cost of energy from wind power projects has been dampened by improvements in energy capture from the wind and decreases in operating and maintenance costs.

154

Utility-Scale Solar 2012: An Empirical Analysis of Project Cost...  

NLE Websites -- All DOE Office Websites (Extended Search)

through key findings from this report. The webinar covers trends in not only installed project costs or prices, but also operating costs, capacity factors, and power purchase...

155

DOE G 430.1-1 Chp 20, Estimating Specialty Costs  

Directives, Delegations, and Requirements

This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

1997-03-28T23:59:59.000Z

156

Using light emitting diode arrays as touchsensitive input and output devices  

E-Print Network (OSTI)

Light Emitting Diodes (LEDs) offer long life, low cost, efficiency, brightness, and a full range of colors. Because of these properties, they are widely used for simple displays in electronic devices. A previously characterized, but little known property of LEDs allows them to be used as photo sensors. In this paper, we show how this capability can be used to turn unmodified, off the shelf, LED arrays into touch sensitive input devices (while still remaining capable of producing output). The technique is simple and requires little or no extra hardware in some cases operating with the same micro-controller based circuitry normally used to produce output, requiring only software changes. We will describe a simple hybrid input/output device prototype implemented with this technique, and discuss the design opportunities that this type of device opens up. Categories and Subject Descriptors:

Scott E. Hudson

2004-01-01T23:59:59.000Z

157

Waste management facilities cost information: System cost model product description. Revision 2  

SciTech Connect

In May of 1994, Lockheed Idaho Technologies Company (LITCO) in Idaho Falls, Idaho and subcontractors developed the System Cost Model (SCM) application. The SCM estimates life-cycle costs of the entire US Department of Energy (DOE) complex for designing; constructing; operating; and decommissioning treatment, storage, and disposal (TSD) facilities for mixed low-level, low-level, transuranic, and mixed transuranic waste. The SCM uses parametric cost functions to estimate life-cycle costs for various treatment, storage, and disposal modules which reflect planned and existing facilities at DOE installations. In addition, SCM can model new facilities based on capacity needs over the program life cycle. The SCM also provides transportation costs for DOE wastes. Transportation costs are provided for truck and rail and include transport of contact-handled, remote-handled, and alpha (transuranic) wastes. The user can provide input data (default data is included in the SCM) including the volume and nature of waste to be managed, the time period over which the waste is to be managed, and the configuration of the waste management complex (i.e., where each installation`s generated waste will be treated, stored, and disposed). Then the SCM uses parametric cost equations to estimate the costs of pre-operations (designing), construction costs, operation management, and decommissioning these waste management facilities.

Lundeen, A.S.; Hsu, K.M.; Shropshire, D.E.

1996-02-01T23:59:59.000Z

158

Input--output capital coefficients for energy technologies. [Input-output model  

DOE Green Energy (OSTI)

Input-output capital coefficients are presented for five electric and seven non-electric energy technologies. They describe the durable goods and structures purchases (at a 110 sector level of detail) that are necessary to expand productive capacity in each of twelve energy source sectors. Coefficients are defined in terms of 1967 dollar purchases per 10/sup 6/ Btu of output from new capacity, and original data sources include Battelle Memorial Institute, the Harvard Economic Research Project, The Mitre Corp., and Bechtel Corp. The twelve energy sectors are coal, crude oil and gas, shale oil, methane from coal, solvent refined coal, refined oil products, pipeline gas, coal combined-cycle electric, fossil electric, LWR electric, HTGR electric, and hydroelectric.

Tessmer, R.G. Jr.

1976-12-01T23:59:59.000Z

159

Semi-valid input coverage for fuzz testing  

Science Conference Proceedings (OSTI)

We define semi-valid input coverage (SVCov), the first coverage criterion for fuzz testing. Our criterion is applicable whenever the valid inputs can be defined by a finite set of constraints. SVCov measures to what extent the tests cover the domain ... Keywords: coverage criteria, fuzz testing, security testing

Petar Tsankov, Mohammad Torabi Dashti, David Basin

2013-07-01T23:59:59.000Z

160

Finding input sub-spaces for polymorphic fuzzy signatures  

Science Conference Proceedings (OSTI)

A significant feature of fuzzy signatures is its applicability for complex and sparse data. To create Polymorphic Fuzzy Signatures (PFS) for sparse data, sparse input sub-spaces (ISSs) should be considered. Finding the optimal ISSs manually is not a ... Keywords: WRAO, fuzzy C-means, fuzzy signatures, input subspace clustering, polymorphic fuzzy signatures, trapezoidal approximation

A. H. Hadad; T. D. Gedeon; B. S. U. Mendis

2009-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Ancient runes: using text input for interaction in mobile games  

Science Conference Proceedings (OSTI)

Mobile phones are often carried in the pocket making them available for gaming any time. Mobile games typically rely on the joystick for input, but quality of the joystick is very different in the different devices. This paper presents Ancient Runes, ... Keywords: mobile multiplayer gaming, playability, text input

Elina M. I. Koivisto; Riku Suomela; Ari Koivisto

2006-07-01T23:59:59.000Z

162

Manual deskterity: an exploration of simultaneous pen + touch direct input  

Science Conference Proceedings (OSTI)

Manual Deskterity is a prototype digital drafting table that supports both pen and touch input. We explore a division of labor between pen and touch that flows from natural human skill and differentiation of roles of the hands. We also explore the simultaneous ... Keywords: bimanual input, gestures, pen, tabletop, tablets, touch

Ken Hinckley; Koji Yatani; Michel Pahud; Nicole Coddington; Jenny Rodenhouse; Andy Wilson; Hrvoje Benko; Bill Buxton

2010-04-01T23:59:59.000Z

163

Kernel principal component analysis for stochastic input model generation  

Science Conference Proceedings (OSTI)

Stochastic analysis of random heterogeneous media provides useful information only if realistic input models of the material property variations are used. These input models are often constructed from a set of experimental samples of the underlying random ... Keywords: Data-driven models, Flow in random porous media, Kernel principal component analysis, Non-linear model reduction, Stochastic partial differential equations

Xiang Ma; Nicholas Zabaras

2011-08-01T23:59:59.000Z

164

Skeletal input for user interaction in X3D  

Science Conference Proceedings (OSTI)

Recent developments in depth sensor technology enable developers to use skeletal input in interactive 3D environments with high user fluctuation like museum exhibits. However, the question of how to use natural user input and body movement to control ... Keywords: Kinect, X3D, natural interaction

Manuel Olbrich; Tobias Franke; Jens Keil; Sven Hertling

2013-06-01T23:59:59.000Z

165

BeThere: 3D mobile collaboration with spatial input  

Science Conference Proceedings (OSTI)

We present BeThere, a proof-of-concept system designed to explore 3D input for mobile collaborative interactions. With BeThere, we explore 3D gestures and spatial input which allow remote users to perform a variety of virtual interactions ... Keywords: around device interaction, augmented reality, collaboration, depth sensors

Rajinder S. Sodhi; Brett R. Jones; David Forsyth; Brian P. Bailey; Giuliano Maciocci

2013-04-01T23:59:59.000Z

166

Twinkle box: a three-dimensional computer input device  

Science Conference Proceedings (OSTI)

During the past fifteen years, use of two-dimensional computer input/output devices has become commonplace. Since the earliest uses of the light pen for target identification in air defense systems it has been obvious that two-dimensional input would ...

Robert P. Burton; Ivan E. Sutherland

1974-05-01T23:59:59.000Z

167

Energy efficiency improvement and cost saving opportunities forpetroleum refineries  

Science Conference Proceedings (OSTI)

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

Worrell, Ernst; Galitsky, Christina

2005-02-15T23:59:59.000Z

168

Geothermal: Sponsored by OSTI -- Parametric Analysis of the Factors...  

Office of Scientific and Technical Information (OSTI)

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

169

Aerogel commercialization: Technology, markets and costs  

SciTech Connect

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

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

1994-10-07T23:59:59.000Z

170

Cost Methodology for Biomass Feedstocks: Herbaceous Crops and Agricultural Residues  

DOE Green Energy (OSTI)

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

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

2009-12-01T23:59:59.000Z

171

T-623: HP Business Availability Center Input Validation Hole Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3: HP Business Availability Center Input Validation Hole 3: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks May 16, 2011 - 3:05pm Addthis PROBLEM: A vulnerability was reported in HP Business Availability Center. A remote user can conduct cross-site scripting attacks. PLATFORM: HP Business Availability Center software 8.06 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input before displaying the input. reference LINKS: SecurityTracker Alert ID:1025535 HP Knowledge Base CVE-2011-1856 Secunia ID: SA44569 HP Document ID:c02823184 | ESB-2011.0525 IMPACT ASSESSMENT: High Discussion: A remote user can cause arbitrary scripting code to be executed by the

172

Operations Cost Allocation Project  

NLE Websites -- All DOE Office Websites (Extended Search)

Operations Consolidation Project Operations Consolidation Project Operations Consolidation Project (OCP) Cost Allocation Presentation - September 20, 2011 OCP Cost Allocation Customer Presentation List of Acronyms OCP Cost Allocation Spreadsheets OCP Cost Allocation Customer Presentation - Questions and Answers - September 19 - 20, 2011 Additional Questions and Answers Customer Comments/Questions and Answers: Arizona Municipal Power Users Association Arizona Power Authority Central Arizona Project Colorado River Commission Colorado River Energy Distributors Association City of Gilbert, AZ Irrigation and Electrical Districts Association of Arizona Town of Marana, AZ City of Mesa, AZ Town of Wickenburg, AZ Western's Final Decision Regarding the Long-Term Cost Allocation Methodology for Operations Staff Costs

173

Minimum Cost Arborescences ?  

E-Print Network (OSTI)

In this paper, we analyze the cost allocation problem when a group of agents or nodes have to be connected to a source, and where the cost matrix describing the cost of connecting each pair of agents is not necessarily symmetric, thus extending the well-studied problem of minimum cost spanning tree games, where the costs are assumed to be symmetric. The focus is on rules which satisfy axioms representing incentive and fairness properties. We show that while some results are similar, there are also significant differences between the frameworks corresponding to symmetric and asymmetric cost matrices.

Bhaskar Dutta; Debasis Mishra; We Thank Daniel Granot; Anirban Kar; Herve Moulin For Comments

2011-01-01T23:59:59.000Z

174

Nuclear fuel cycle costs  

Science Conference Proceedings (OSTI)

The costs for the back-end of the nuclear fuel cycle, which were developed as part of the Nonproliferation Alternative Systems Assessment Program (NASAP), are presented. Total fuel cycle costs are given for the pressurized water reactor once-through and fuel recycle systems, and for the liquid-metal fast breeder reactor system. These calculations show that fuel cycle costs are a small part of the total power costs. For breeder reactors, fuel cycle costs are about half that of the present once-through system. The total power cost of the breeder reactor system is greater than that of light-water reactor at today's prices for uranium and enrichment.

Burch, W.D.; Haire, M.J.; Rainey, R.H.

1982-02-01T23:59:59.000Z

175

Table A52. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

2. Total Inputs of Energy for Heat, Power, and Electricity Generation by Employment Size" 2. Total Inputs of Energy for Heat, Power, and Electricity Generation by Employment Size" " Categories and Presence of General Technologies and Cogeneration Technologies, 1994" " (Estimates in Trillion Btu)" ,,,,"Employment Size(a)" ,,,,,,,,"RSE" ,,,,,,,"1000 and","Row" "General/Cogeneration Technologies","Total","Under 50","50-99","100-249","250-499","500-999","Over","Factors" "RSE Column Factors:",0.5,2,2.1,1,0.7,0.7,0.9 "One or More General Technologies Present",14601,387,781,2054,2728,3189,5462,3.1 " Computer Control of Building Environment (b)",5079,64,116,510,802,1227,2361,5

176

PREDICTING THE TIME RESPONSE OF A BUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATING SYSTEMS  

E-Print Network (OSTI)

solar space heating system with heat input and building loadBUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATINGBUILDING UNDER HEAT INPUT CONDITIONS FOR ACTIVE SOLAR HEATING

Warren, Mashuri L.

2013-01-01T23:59:59.000Z

177

2006 Update of Business Downtime Costs  

SciTech Connect

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

Hinrichs, Mr. Doug [Sentech, Inc.; Goggin, Mr. Michael [Sentech, Inc.

2007-01-01T23:59:59.000Z

178

2006 Update of Business Downtime Costs  

SciTech Connect

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

Hinrichs, Mr. Doug [Sentech, Inc.; Goggin, Mr. Michael [Sentech, Inc.

2007-01-01T23:59:59.000Z

179

Energy Efficiency Improvement and Cost Saving Opportunities for the Petrochemical Industry - An ENERGY STAR(R) Guide for Energy and Plant Managers  

E-Print Network (OSTI)

such an important cost factor, energy efficiency is a verythe cost-effectiveness of energy efficiency opportunities2005). Energy Efficiency Improvement and Cost Saving

Neelis, Maarten

2008-01-01T23:59:59.000Z

180

Input Price Risk and Optimal Timing of Energy Investment: Choice between Fossil- and Biofuels  

E-Print Network (OSTI)

Ve consider energy investment, when a choice has to be made between fossil fuel and biomass fired production technologies. A dynamic model is presented to illustrate the effect of the different degrees of input price uncer- tainty on the choice of technolog2 and the timing of the investment. It is shown that when the choice of technology is irreversible, it may be optimal to postpone the investment even if it would otherwise be optimal to invest in one or both of the plant types. Ve provide a numerical example based on cost estimates of two different power plant types.

Pauli Murto; Gjermund Nese

2002-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Computerized Energy and Treatment Cost Calculations  

E-Print Network (OSTI)

A computer program has been developed that quickly calculates blowdown heat loss as a function of makeup water, boiler water chemistry, and blowdown recovery equipment. By inputting water analysis, basic system parameters, and type of fuel, the cost of heat loss in the blowdown can be quickly and accurately determined. Present operating systems can quickly be evaluated as to potential cost savings on the addition of a blowdown flash tank and/or a recovery heat exchanger. Proposed systems can be engineered from the start with an eye to decreasing energy loss and saving money. In addition, the proper internal treatment is recommended along with appropriate products. Cost of energy lost in the blowdown is calculated based on different levels of blowdown heat recovery. Accurate calculations are readily available to make more intelligent decisions on the purchase of recovery equipment, rather than depending on very tedious, potentially inaccurate determinations by long hand.

Trace, W. L.

1981-01-01T23:59:59.000Z

182

Hydrogen Threshold Cost Calculation  

NLE Websites -- All DOE Office Websites (Extended Search)

Program Record (Offices of Fuel Cell Technologies) Program Record (Offices of Fuel Cell Technologies) Record #: 11007 Date: March 25, 2011 Title: Hydrogen Threshold Cost Calculation Originator: Mark Ruth & Fred Joseck Approved by: Sunita Satyapal Date: March 24, 2011 Description: The hydrogen threshold cost is defined as the hydrogen cost in the range of $2.00-$4.00/gge (2007$) which represents the cost at which hydrogen fuel cell electric vehicles (FCEVs) are projected to become competitive on a cost per mile basis with the competing vehicles [gasoline in hybrid-electric vehicles (HEVs)] in 2020. This record documents the methodology and assumptions used to calculate that threshold cost. Principles: The cost threshold analysis is a "top-down" analysis of the cost at which hydrogen would be

183

Hydrogen Pathway Cost Distributions  

NLE Websites -- All DOE Office Websites (Extended Search)

Pathway Cost Distributions Pathway Cost Distributions Jim Uihlein Fuel Pathways Integration Tech Team January 25, 2006 2 Outline * Pathway-Independent Cost Goal * Cost Distribution Objective * Overview * H2A Influence * Approach * Implementation * Results * Discussion Process * Summary 3 Hydrogen R&D Cost Goal * Goal is pathway independent * Developed through a well defined, transparent process * Consumer fueling costs are equivalent or less on a cents per mile basis * Evolved gasoline ICE and gasoline-electric hybrids are benchmarks * R&D guidance provided in two forms * Evolved gasoline ICE defines a threshold hydrogen cost used to screen or eliminate options which can't show ability to meet target * Gasoline-electric hybrid defines a lower hydrogen cost used to prioritize projects for resource allocation

184

Documents: Cost Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

Analysis Search Documents: Search PDF Documents View a list of all documents Cost Analysis PDF Icon Summary of the Cost Analysis Report for the Long-term Management of Depleted UF6...

185

Reduce Oil Dependence Costs  

NLE Websites -- All DOE Office Websites (Extended Search)

Reduce Oil Dependence Costs U.S. Petroleum Use, 1970-2010 Nearly 40% of the oil we use is imported, costing us roughly 300 billion annually. Increased domestic oil production from...

186

Chemical Lifecycle Management Cost  

NLE Websites -- All DOE Office Websites (Extended Search)

Chemical Lifecycle Management Cost Presented by: J.M. Hieb, CH2M HILL Plateau Remediation Company CHPRC1204-04 Chemical Lifecycle Management Cost Everyone is trying to stretch a...

187

Cost Estimation Recommendations  

Science Conference Proceedings (OSTI)

...D.P. Hoult and C.L. Meador, Manufacturing Cost Estimating, Materials Selection and Design, Vol 20, ASM Handbook,

188

A. Appendix: Cost Estimate for the Facility  

NLE Websites -- All DOE Office Websites (Extended Search)

Appendix: Cost Estimate for the Facility Appendix: Cost Estimate for the Facility Determining the cost of a facility as complex as the neutrino source presented here is a very difficult task within the short time period of six months. Three factors contribute to the uncertainty significantly: 1. The number of subsystems in the facility, which are described throughout the report, is comparatively large. All of the subsystems contribute a considerable amount of complexity and cost that have to be addressed by specific expertise in order to find a technical solution and a reasonable cost estimate. The variety of technologies is large and many of them have to be pushed to the edge or beyond and therefore has to be addressed with an appropriate R&D program. Cost savings from mass production will not be

189

Power Plant Cycling Costs  

Science Conference Proceedings (OSTI)

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.

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

2012-07-01T23:59:59.000Z

190

Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes  

E-Print Network (OSTI)

production(abovetheutilityratefor electricitysoldlocalenergycostsandutilityrate structures. NetZero1:BaseCaseInputs Theutilityratesusedshouldalsobe

Al-Beaini, S.

2010-01-01T23:59:59.000Z

191

EUV lithography cost of ownership analysis  

SciTech Connect

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.

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

1995-01-19T23:59:59.000Z

192

Table A12. Selected Combustible Inputs of Energy for Heat, Power, and  

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

Type" Type" " and End Use, 1994: Part 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,"Residual","Distillate",,,"(excluding","RSE" "SIC",,"Net Demand","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code(a)","End-Use Categories","for Electricity(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and Breeze)","Factors" "20-39","ALL INDUSTRY GROUPS" ,"RSE Column Factors:",0.5,1.4,1.4,0.8,1.2,1.2 ,"TOTAL INPUTS",3132,441,152,6141,99,1198,2.4

193

Table A38. Selected Combustible Inputs of Energy for Heat, Power, and  

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

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,"Net Demand","Residual","Distillate",,,"(excluding","RSE" "SIC",,"for Electri-","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code","End-Use Categories","city(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and Breeze)","Factors" "20-39","ALL INDUSTRY GROUPS" ,"RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6 ,"TOTAL INPUTS",2799,414,139,5506,105,1184,3 ,"Boiler Fuel",32,296,40,2098,18,859,3.6 ,"Total Process Uses",2244,109,34,2578,64,314,4.1

194

Table A37. Total Inputs of Energy for Heat, Power, and Electricity  

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

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","Breeze)","Other(d)","Factors" "Total United States" "RSE Column Factors:","NF",0.4,1.6,1.5,0.7,1,1.6,"NF" "TOTAL INPUTS",15027,2370,414,139,5506,105,1184,5309,3 "Boiler Fuel","--","W",296,40,2098,18,859,"--",3.6

195

Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","Breeze)","Other(d)","Factors" ,"Total United States" "RSE Column Factors:"," NF",0.5,1.3,1.4,0.8,1.2,1.2," NF" "TOTAL INPUTS",16515,2656,441,152,6141,99,1198,5828,2.7 "Indirect Uses-Boiler Fuel"," --",28,313,42,2396,15,875," --",4

196

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

Science Conference Proceedings (OSTI)

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

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

1984-10-01T23:59:59.000Z

197

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Industry Input on Nickel Disposition Strategy Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy March 23, 2012 - 12:00pm Addthis WASHINGTON, D.C. - The Energy Department's prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel. The EOI requests technical, financial, and product market information to review the feasibility of technologies capable of decontaminating the nickel to a level indistinguishable from what is commercially available, such that it could be safely recycled and reused. The EOI scope is for 6,400 tons of nickel to be recovered from the uranium enrichment process

198

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Seeks Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy March 23, 2012 - 12:00pm Addthis WASHINGTON, D.C. - The Energy Department's prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel. The EOI requests technical, financial, and product market information to review the feasibility of technologies capable of decontaminating the nickel to a level indistinguishable from what is commercially available, such that it could be safely recycled and reused. The EOI scope is for 6,400 tons of nickel to be recovered from the uranium enrichment process

199

Input to the 2012-2021 Strategic Plan  

NLE Websites -- All DOE Office Websites (Extended Search)

Related Federal Climate Efforts Related Federal Climate Efforts Input to the 2012-2021 Strategic Plan Print E-mail Engaging Stakeholders The USGCRP is dedicated to engaging stakeholders in strategic planning efforts. Our community outreach activities created a dialogue with our stakeholders through various communication channels, such as opportunities for interagency collaboration, town hall meetings, public presentations and listening sessions. These channels alongside our 60 day public comment period enabled the program to incorporate stakeholder input int the process of drafting this decadal plan. In addition, we welcome input - particularly on the future direction of USGCRP and on the climate information you need and use. Please send your comments to input@usgcrp.gov. Listening Sessions

200

V-192: Symantec Security Information Manager Input Validation Flaws Permit  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

92: Symantec Security Information Manager Input Validation Flaws 92: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks July 4, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in Symantec Security Information Manager PLATFORM: Symantec Security Information Manager Appliance Version 4.7.x and 4.8.0 ABSTRACT: Symantec was notified of multiple security issues impacting the SSIM management console REFERENCE LINKS: SecurityTracker Alert ID: 1028727 Symantec Security Advisory SYM13-006 CVE-2013-1613 CVE-2013-1614 CVE-2013-1615 IMPACT ASSESSMENT: Medium DISCUSSION: The console does not properly filter HTML code from user-supplied input

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Abandoned Uranium Mines Report to Congress: LM Wants Your Input Abandoned Uranium Mines Report to Congress: LM Wants Your Input Abandoned Uranium Mines Report to Congress: LM Wants Your Input April 11, 2013 - 1:33pm Addthis C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts What does this project do? Goal 4. Optimize the use of land and assets Abandoned Uranium Mines Report to Congress The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is seeking stakeholder input on an abandoned uranium mines report to Congress. On January 2, 2013, President Obama signed into law the National Defense Authorization Act for Fiscal Year 2013, which requires the Secretary of Energy, in consultation with the Secretary of the U.S Department of the Interior (DOI) and the Administrator

202

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

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

,,"(202) 586-8800",,,"7242013 11:46:42 PM" "Back to Contents","Data 1: U.S. Refinery Crude Oil Input Qualities" "Sourcekey","MCRS1US2","MCRAPUS2" "Date","U.S. Sulfur...

203

Speech recognition as a computer graphics input technique (Panel Session)  

Science Conference Proceedings (OSTI)

Richard Rabin Interactive graphics systems typically require intense hands busy/eyes busy and brains busy activity on the part of the system user/operator. Voice input by means of automatic speech recognition equipment, offers major potential ...

Alan R. Strass; Mark Robillard; Sue Schedler; Matthew Peterson / Richard Rabin

1982-07-01T23:59:59.000Z

204

Comparison of wind stress algorithms, datasets and oceanic power input  

E-Print Network (OSTI)

If the ocean is in a statistically steady state, energy balance is a strong constraint, suggesting that the energy input into the world ocean is dissipated simultaneously at the same rate. Energy conservation is one of the ...

Yuan, Shaoyu

2009-01-01T23:59:59.000Z

205

Constructing Verifiable Random Functions with Large Input Spaces Susan Hohenberger  

E-Print Network (OSTI)

idea is to apply a simulation technique where the large space of VRF inputs is collapsed into a small, the verification should remain secure even if the public commitment were setup in a malicious manner. The VRF

206

On the Energy Input from Wind to Surface Waves  

Science Conference Proceedings (OSTI)

A basic model relating the energy dissipation in the ocean mixed layer to the energy input into the surface wave field is combined with recent measurements of turbulent kinetic energy dissipation to determine the average phase speed of the waves ...

J. R. Gemmrich; T. D. Mudge; V. D. Polonichko

1994-11-01T23:59:59.000Z

207

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Sensitive Information U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands U-015: CiscoWorks Common Services Home...

208

Eclat : automatic generation and classification of test inputs  

E-Print Network (OSTI)

This thesis describes a technique that selects, from a large set of test inputs, a small subset likely to reveal faults in the software under test. The technique takes a program or software component, plus a set of correct ...

Pacheco, Carlos, S.M. Massachusetts Institute of Technology

2005-01-01T23:59:59.000Z

209

IMPACT OF HIGH-INPUT PRODUCTION PRACTICES ON SOYBEAN YIELD.  

E-Print Network (OSTI)

??High-input management practices are often heavily marketed to producers to increase soybean [Glycine max (L) Merr.] yield in already high-yielding environments. Field research was conducted (more)

Jordan, Daniel L.

2010-01-01T23:59:59.000Z

210

T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3: Symantec Endpoint Protection Manager Input Validation Hole 3: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks August 15, 2011 - 3:42pm Addthis PROBLEM: Two vulnerabilities were reported in Symantec Endpoint Protection Manager. A remote user can conduct cross-site scripting attacks. A remote user can conduct cross-site request forgery attacks. PLATFORM: Version(s): 11.0 RU6(11.0.600x), 11.0 RU6-MP1(11.0.6100), 11.0 RU6-MP2(11.0.6200), 11.0 RU6-MP3(11.0.6300) ABSTRACT: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks. reference LINKS:

211

Indiana, Illinois, Kentucky Refinery District Gross Inputs to ...  

U.S. Energy Information Administration (EIA)

Indiana, Illinois, Kentucky Refinery District Gross Inputs to Refineries (Thousand Barrels per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1985: 1,739 ...

212

Rocky Flats Closure Unit Cost Data  

SciTech Connect

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

Sanford, P.C. [1129 Business Parkway South, Westminister, MD (United States); Skokan, B. [United States Department of Energy, Washington, DC (United States)

2007-07-01T23:59:59.000Z

213

Fast Algorithms for Slew-Constrained Minimum Cost Buffering  

Science Conference Proceedings (OSTI)

As a prevalent constraint, sharp slew rate is often required in circuit design, which causes a huge demand for buffering resources. This problem requires ultrafast buffering techniques to handle large volume of nets while also minimizing buffering cost. ... Keywords: Buffer insertion, NP-complete, input slew, interconnect, slew constraint

Shiyan Hu; C. J. Alpert; Jiang Hu; S. K. Karandikar; Zhuo Li; Weiping Shi; C. N. Sze

2007-11-01T23:59:59.000Z

214

Coal supply and cost under technological and environmental uncertainty  

E-Print Network (OSTI)

Coal supply and cost under technological and environmental uncertainty Submitted in partial, and Rod Lawrence at Foundation Coal. I received a lot of feedback and input on this report, and would like chapters. My conversations with Kurt Walzer at Clean Air Task Force and Rory McIlmoil at Coal Valley Wind

215

FSM Research Administrators' Workshop Series Cost Principles for Sponsored Projects  

E-Print Network (OSTI)

FSM Research Administrators' Workshop Series Cost Principles for Sponsored Projects October 4, 2012 degree of accuracy #12;Examples of Direct Costs · Salaries and fringe benefits of project personnel, unallowable. Other factors affecting allowability of costs: · Reasonable · Allocable to the proposed project

Chisholm, Rex L.

216

Estimate Costs to Implement Greenhouse Gas Mitigation Strategies Using  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Costs to Implement Greenhouse Gas Mitigation Strategies Costs to Implement Greenhouse Gas Mitigation Strategies Using Renewable Energy in Buildings Estimate Costs to Implement Greenhouse Gas Mitigation Strategies Using Renewable Energy in Buildings October 7, 2013 - 11:25am Addthis After determining the best greenhouse gas (GHG) reduction strategies using renewable energy, a Federal agency should estimate the cost of implementing them in a building or buildings. There are several cost factors that need to be considered when developing a renewable energy project. Capital costs, fixed and variable operations and maintenance (O&M) costs and in the case of biomass and waste-to-energy projects, fuel costs all contribute to the total cost of operating a renewable energy system. The levelized system cost takes into account these

217

Methods | Transparent Cost Database  

Open Energy Info (EERE)

Methods Methods Disclaimer The data gathered here are for informational purposes only. Inclusion of a report in the database does not represent approval of the estimates by DOE or NREL. Levelized cost calculations DO NOT represent real world market conditions. The calculation uses a single discount rate in order to compare technology costs only. About the Cost Database For emerging energy technologies, a variety of cost and performance numbers are cited in presentations and reports for present-day characteristics and potential improvements. Amid a variety of sources and methods for these data, the Office of Energy Efficiency and Renewable Energy's technology development programs determine estimates for use in program planning. The Transparent Cost Database collects program cost and performance

218

Low cost MCFC anodes  

DOE Green Energy (OSTI)

This paper outlines a project, funded under a DOE SBIR grant, which tested a potentially lower cost method of manufacturing MCFC stack anodes and evaluated the feasibility of using the technology in the existing M-C Power Corp. manufacturing facility. The procedure involves adding activator salts to the anode tape casting slurry with the Ni and Cr or Al powders. Two different processes occur during heat treatment in a reducing environment: sintering of the base Ni structure, and alloying or cementation of the Cr or Al powders. To determine whether it was cost-effective to implement the cementation alloying manufacturing process, the M-C Power manufacturing cost model was used to determine the impact of different material costs and processing parameters on total anode cost. Cost analysis included equipment expenditures and facility modifications required by the cementation alloying process.

Erickson, D.S.

1996-12-31T23:59:59.000Z

219

What solar heating costs  

SciTech Connect

Few people know why solar energy systems cost what they do. Designers and installers know what whole packages cost, but rarely how much goes to piping, how much for labor and how much for the collectors. Yet one stands a better chance of controlling costs if one can compare where the money is going against where it should be going. A detailed Tennessee Valley Authority study of large solar projects shows how much each component contributes to the total bill.

Adams, J.A.

1985-05-01T23:59:59.000Z

220

Cost analysis guidelines  

Science Conference Proceedings (OSTI)

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.

Strait, R.S.

1996-01-10T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

CAES Updated Cost Assessment  

Science Conference Proceedings (OSTI)

Compressed Air Energy Storage Systems (CAES) for bulk energy storage applications have been receiving renewed interest. Increased penetration of large quantities of intermittent wind generation are requiring utilities to re-examine the cost and value of CAES systems. New second generation CAES cycles have been identified which offer the potential for lower capital and operating costs. This project was undertaken to update and summarize the capital and operating costs and performance features of second ge...

2008-12-23T23:59:59.000Z

222

For appliances, choosing the most cost-effective option depends on ...  

U.S. Energy Information Administration (EIA)

Environment. Greenhouse gas data, ... Solar Energy in Brief ... Customers can quickly review costs, factor in rebates or incentives, ...

223

Target Cost Management Strategy  

E-Print Network (OSTI)

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

Okano, Hiroshi

1996-01-01T23:59:59.000Z

224

Cost Affordable Titanium IV  

Science Conference Proceedings (OSTI)

Jul 31, 2012 ... Enhancing the Cost Effectiveness of High Performance Titanium Alloy Component Production by Powder Metallurgy Evolution of Texture in...

225

Cost Effective Single Crystals  

Science Conference Proceedings (OSTI)

three relevant technologies, namely casting, alloy development and orientation measurement, developed by Rolls-Royce to enable the cost effective production.

226

Sharing Supermodular Costs  

E-Print Network (OSTI)

the costs collectively incurred by a group of cooperating agents. ..... Mixed integer programming formulations for production planning and scheduling prob- lems.

227

Petroleum well costs.  

E-Print Network (OSTI)

??This is the first academic study of well costs and drilling times for Australia?s petroleum producing basins, both onshore and offshore. I analyse a substantial (more)

Leamon, Gregory Robert

2006-01-01T23:59:59.000Z

228

COST REVIEW and ESTIMATING  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Programming Guide. OMB Circular A-94, Guidelines and Discount Rates for Benefit-Cost Analysis of Federal Programs, dated October 29, 1992 Page | 41 APPENDIX A ICRICE...

229

The Cost of Debt ?  

E-Print Network (OSTI)

We estimate firm-specific marginal cost of debt functions for a large panel of companies between 1980 and 2007. The marginal cost curves are identified by exogenous variation in the marginal tax benefits of debt. The location of a given companys cost of debt function varies with characteristics such as asset collateral, size, book-to-market, asset tangibility, cash flows, and whether the firm pays dividends. By integrating the area between benefit and cost functions we estimate that the equilibrium net benefit of debt is 3.5 % of asset value, resulting from an estimated gross benefit of debt of 10.4 % of asset value and an estimated cost of debt of 6.9%. We find that the cost of being overlevered is asymmetrically higher than the cost of being underlevered and that expected default costs constitute approximately half of the total ex ante cost of debt. We thank Rick Green (the Acting Editor), and an anonymous referee, Heitor Almeida, Ravi Bansal,

Jules H. Van Binsbergen; John R. Graham; Jie Yang

2010-01-01T23:59:59.000Z

230

Hydrogen and Infrastructure Costs  

NLE Websites -- All DOE Office Websites (Extended Search)

FUEL CELL TECHNOLOGIES PROGRAM Hydrogen and Infrastructure Costs Hydrogen Infrastructure Market Readiness Workshop Washington D.C. February 17, 2011 Fred Joseck U.S. Department of...

231

Reducing Energy Costs  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy expense is becoming increasingly dominant in the operating costs of high-performance computing (HPC) systems. At the same time, electricity prices vary significantly at...

232

Application of a Linear Input/Output Model to Tankless Water Heaters  

DOE Green Energy (OSTI)

In this study, the applicability of a linear input/output model to gas-fired, tankless water heaters has been evaluated. This simple model assumes that the relationship between input and output, averaged over both active draw and idle periods, is linear. This approach is being applied to boilers in other studies and offers the potential to make a small number of simple measurements to obtain the model parameters. These parameters can then be used to predict performance under complex load patterns. Both condensing and non-condensing water heaters have been tested under a very wide range of load conditions. It is shown that this approach can be used to reproduce performance metrics, such as the energy factor, and can be used to evaluate the impacts of alternative draw patterns and conditions.

Butcher T.; Schoenbauer, B.

2011-12-31T23:59:59.000Z

233

Economic analysis of geothermal energy costs  

SciTech Connect

A description is given of the computer program, GEOCOST, and its application to some analyses of the economics of geothermal energy. GEOCOST combines both technical and economic factors into one systematic cost accounting framework. The program, which simulates production of electricity from most types of geothermal resources, is composed of two parts: a reservoir model which simulates the costs associated with the exploration, development, and operation of a geothermal reservoir; and a power-plant model which simulates the costs associated with the design, construction, and operation of the power plant. The costs from the reservoir model become the energy supply costs to the power plant. The combined reservoir and power plant models represent the complete energy production system. (LBS)

Bloomster, C.H.

1975-01-01T23:59:59.000Z

234

How to Reduce Energy Supply Costs  

E-Print Network (OSTI)

Rising energy costs have many businesses looking for creative ways to reduce their energy usage and lower the costs of energy delivered to their facilities. This paper explores innovative renewable and alternative energy technologies that can help customers control their supply-side costs of energy. Specific topics include distributive wind power generation and solid fuel boilers. It identities factors to consider in determining whether these technologies are economically viable for customers and stresses the importance of fully researching alternatives before committing to major equipment investments.

Swanson, G.

2007-01-01T23:59:59.000Z

235

ONTOCOM: A Cost Estimation Model for Ontology Engineering  

E-Print Network (OSTI)

Abstract: This paper introduces ONTOCOM, a parametric cost estimation model for Semantic Web ontologies. After analyzing established, general-purpose cost estimation methodologies we propose a methodology, which can be applied to develop cost models for ontology engineering. We examine the particularities of this engineering field on the basis of the proposed methodology, in order to identify cost factors which influence the effort invested in ontology building, reuse and maintenance. 1

Elena Paslaru Bontas; Malgorzata Mochol; Freie Universitt

2006-01-01T23:59:59.000Z

236

Energy Cost Calculator for Commercial Ice Machines | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Ice Machines Ice Machines Energy Cost Calculator for Commercial Ice Machines October 8, 2013 - 2:25pm Addthis Vary capacity size, energy cost, hours of operation, and /or efficiency level. INPUT SECTION Input the following data (if any parameter is missing, calculator will set to default value). Defaults Type of Ice Cube Machine Ice Making Head Self-Contained Remote Condensing Unit Ice Making Head Type of Condenser Air Cooled Water Cooled Air Cooled Ice Harvest Rate (lbs. ice per 24 hrs.) lbs. per 24 hrs. 500 lbs. per 24 hrs. Energy Consumption (per 100 lbs. of ice) kWh 5.5 kWh Quantity of ice machines to be purchased 1 Energy Cost $/kWh 0.06 $/kWh Annual Hours of Operation hrs. 3000 hrs. Calculate Reset OUTPUT SECTION Performance per Ice Cube Machine Your

237

Energy Cost Calculator for Urinals | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Urinals Urinals Energy Cost Calculator for Urinals October 8, 2013 - 2:38pm Addthis Vary water cost, frequency of operation, and /or efficiency level. INPUT SECTION This calculator assumes that early replacement of a urinal or toilet will take place with 10 years of life remaining for existing fixture. Input the following data (if any parameter is missing, calculator will set to default value). Defaults Water Saving Product Urinal Urinal Gallons per Flush gpf 1.0 gpf Quantity to be Purchased 1 Water Cost (including waste water charges) $/1000 gal $4/1000 gal Flushes per Day flushes 30 flushes Days per Year days 260 days Calculate Reset OUTPUT SECTION Performance per Your Choice Typical Existing Unit Recommended Level (New Unit) Best Available

238

Cost-Affordable Titanium III  

Science Conference Proceedings (OSTI)

Cost-Effective Production and Thermomechanical Consolidation of Titanium Alloy Powders Cost Affordable Developments in Titanium Technology and...

239

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 774 720 582 328 681 509 362 464 492 592 1990's 205 128 96 154 160 90 147 102 103 111 2000's 180 86 66 58 91 84 92 9 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas New Hampshire Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

240

OECD Input-Output Tables | Open Energy Information  

Open Energy Info (EERE)

OECD Input-Output Tables OECD Input-Output Tables Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Input-Output Tables Agency/Company /Organization: Organisation for Economic Co-Operation and Development Topics: Co-benefits assessment, Market analysis, Co-benefits assessment, Pathways analysis Resource Type: Dataset Website: www.oecd.org/document/3/0,3343,en_2649_34445_38071427_1_1_1_1,00.html Country: Sweden, Finland, Japan, South Korea, Argentina, Australia, China, Israel, United Kingdom, Portugal, Romania, Greece, Poland, Slovakia, Chile, India, Canada, New Zealand, United States, Denmark, Norway, Spain, Austria, Italy, Netherlands, Ireland, France, Belgium, Brazil, Czech Republic, Estonia, Germany, Hungary, Luxembourg, Mexico, Slovenia, South Africa, Turkey, Indonesia, Switzerland, Taiwan, Russia

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15 13 15 11 11 9 10 21 79 154 1990's 181 154 180 4 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Washington Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

242

Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 48 106 337 1 3 11 2 1 385 315 1990's 56 49 52 78 289 194 709 172 50 64 2000's 101 118 13 42 71 154 13 54 46 47 2010's 12 20 9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Minnesota Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

243

District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 2 1 46 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas District of Columbia Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition)

244

Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 484 498 984 352 332 373 155 136 743 899 1990's 24 72 126 418 987 609 882 178 80 498 2000's 319 186 48 160 124 382 41 245 181 170 2010's 115 89 116 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Maryland Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

245

Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 57 64 68 23 53 45 44 40 34 82 1990's 81 46 45 84 123 96 301 137 17 12 2000's 44 39 23 143 30 31 46 40 27 3 2010's 2 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Iowa Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

246

Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3,127 10,532 5,621 3,844 82 221 196 247 254 305 1990's 220 222 132 110 252 75 266 135 80 119 2000's 261 107 103 126 131 132 124 145 123 205 2010's 4 2 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Pennsylvania Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

247

Possible Magmatic Input to the Dixie Valley Geothermal Field, and  

Open Energy Info (EERE)

Possible Magmatic Input to the Dixie Valley Geothermal Field, and Possible Magmatic Input to the Dixie Valley Geothermal Field, and Implications for District-Scale Resource Exploration, Inferred from Magnetotelluric (MT) Resistivity Surveying Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Possible Magmatic Input to the Dixie Valley Geothermal Field, and Implications for District-Scale Resource Exploration, Inferred from Magnetotelluric (MT) Resistivity Surveying Abstract Magnetotelluric (MT) profiling in northwestern Nevadais used to test hypotheses on the main sources of heat andhydrothermal fluid for the Dixie Valley-Central NevadaSeismic Belt area. The transect reveals families of resistivitystructures commonly dominated by steeply-dipping features,some of which may be of key geothermal significance. Mostnotably, 2-D inversion

248

Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 65 60 2,129 1,278 326 351 1 1 2 1,875 1990's 0 0 0 0 371 4 785 719 40 207 2000's 972 31 62 1,056 917 15 78 66 6 10 2010's 18 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Missouri Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

249

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 257 951 718 594 102 130 182 109 391 219 1990's 51 92 155 126 0 27 42 18 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Rhode Island Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

250

Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 24 57 151 84 28 121 124 248 241 292 1990's 209 185 166 199 123 130 94 14 16 12 2000's 73 51 7 14 5 0 3 2 52 2010's 732 701 660 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Georgia Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

251

Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 55 135 56 20 13 12 9 0 2 18 1990's 4,410 4,262 3,665 3,597 3,032 1 1 2 0 0 2000's 6 0 0 7 17 0 W 5 2 2 2010's 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Delaware Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

252

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 24 50 1 0 0 0 0 10 16 1990's 10 3 10 9 61 37 87 30 4 5 2000's 13 5 3 57 5 4 0 1 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas South Dakota Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

253

Incorporating uncertainty in RADTRAN 6.0 input files.  

SciTech Connect

Uncertainty may be introduced into RADTRAN analyses by distributing input parameters. The MELCOR Uncertainty Engine (Gauntt and Erickson, 2004) has been adapted for use in RADTRAN to determine the parameter shape and minimum and maximum of the distribution, to sample on the distribution, and to create an appropriate RADTRAN batch file. Coupling input parameters is not possible in this initial application. It is recommended that the analyst be very familiar with RADTRAN and able to edit or create a RADTRAN input file using a text editor before implementing the RADTRAN Uncertainty Analysis Module. Installation of the MELCOR Uncertainty Engine is required for incorporation of uncertainty into RADTRAN. Gauntt and Erickson (2004) provides installation instructions as well as a description and user guide for the uncertainty engine.

Dennis, Matthew L.; Weiner, Ruth F.; Heames, Terence John (Alion Science and Technology)

2010-02-01T23:59:59.000Z

254

Optical device with conical input and output prism faces  

DOE Patents (OSTI)

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

Brunsden, Barry S. (Chicago, IL)

1981-01-01T23:59:59.000Z

255

Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 144 1,584 1,077 291 239 343 298 180 245 251 1990's 111 146 40 94 29 68 48 37 33 31 2000's 20 6 6 57 191 273 91 0 0 1 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Connecticut Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

256

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 74 184 63 73 62 87 31 22 191 201 1990's 17 47 26 34 154 62 178 10 0 18 2000's 63 6 3 15 2 86 75 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas South Carolina Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

257

Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 12 42 90 39 25 36 13 26 36 78 1990's 3 8 12 13 84 33 73 19 4 11 2000's 13 0 1 1 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Tennessee Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition

258

Cost update technology, safety, and costs of decommissioning a reference uranium hexafluoride conversion plant  

Science Conference Proceedings (OSTI)

The purpose of this study is to update the cost estimates developed in a previous report, NUREG/CR-1757 (Elder 1980) for decommissioning a reference uranium hexafluoride conversion plant from the original mid-1981 dollars to values representative of January 1993. The cost updates were performed by using escalation factors derived from cost index trends over the past 11.5 years. Contemporary price quotes wee used for costs that have increased drastically or for which is is difficult to find a cost trend. No changes were made in the decommissioning procedures or cost element requirements assumed in NUREG/CR-1757. This report includes only information that was changed from NUREG/CR-1757. Thus, for those interested in detailed descriptions and associated information for the reference uranium hexafluoride conversion plant, a copy of NUREG/CR-1757 will be needed.

Miles, T.L.; Liu, Y.

1995-08-01T23:59:59.000Z

259

Table 3. U.S. Inputs to Biodiesel Production  

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

U.S. Inputs to Biodiesel Production U.S. Inputs to Biodiesel Production (million pounds) 2011 January 8 17 - W 150 W 14 11 February 26 13 - W 150 W 14 11 March 68 14 - W 190 W 19 27 April 88 20 - W 236 W 15 47 May 113 21 - W 264 W 16 36 June 75 34 - W 311 W 23 49 July 77 35 - W 367 W 26 64 August 84 37 W W 398 W 34 38 September 84 27 W W 430 W

260

Production cost analysis of Euphorbia lathyris. Final report  

DOE Green Energy (OSTI)

The purpose of this study is to estimate costs of production for Euphorbia lathyris (hereafter referred to as Euphorbia) in commercial-scale quantities. Selection of five US locations for analysis was based on assumed climatic and cultivation requirements. The five areas are: nonirrigated areas (Southeast Kansas and Central Oklahoma, Northeast Louisiana and Central Mississippi, Southern Illinois), and irrigated areas: (San Joaquin Valley and the Imperial Valley, California and Yuma, Arizona). Cost estimates are tailored to reflect each region's requirements and capabilities. Variable costs for inputs such as cultivation, planting, fertilization, pesticide application, and harvesting include material costs, equipment ownership, operating costs, and labor. Fixed costs include land, management, and transportation of the plant material to a conversion facility. Euphorbia crop production costs, on the average, range between $215 per acre in nonirrigated areas to $500 per acre in irrigated areas. Extraction costs for conversion of Euphorbia plant material to oil are estimated at $33.76 per barrel of oil, assuming a plant capacity of 3000 dry ST/D. Estimated Euphorbia crop production costs are competitive with those of corn. Alfalfa production costs per acre are less than those of Euphorbia in the Kansas/Oklahoma and Southern Illinois site, but greater in the irrigated regions. This disparity is accounted for largely by differences in productivity and irrigation requirements.

Mendel, D.A.

1979-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Production cost analysis of Euphorbia lathyris. Final report  

SciTech Connect

The purpose of this study is to estimate costs of production for Euphorbia lathyris (hereafter referred to as Euphorbia) in commercial-scale quantities. Selection of five US locations for analysis was based on assumed climatic and cultivation requirements. The five areas are: nonirrigated areas (Southeast Kansas and Central Oklahoma, Northeast Louisiana and Central Mississippi, Southern Illinois), and irrigated areas: (San Joaquin Valley and the Imperial Valley, California and Yuma, Arizona). Cost estimates are tailored to reflect each region's requirements and capabilities. Variable costs for inputs such as cultivation, planting, fertilization, pesticide application, and harvesting include material costs, equipment ownership, operating costs, and labor. Fixed costs include land, management, and transportation of the plant material to a conversion facility. Euphorbia crop production costs, on the average, range between $215 per acre in nonirrigated areas to $500 per acre in irrigated areas. Extraction costs for conversion of Euphorbia plant material to oil are estimated at $33.76 per barrel of oil, assuming a plant capacity of 3000 dry ST/D. Estimated Euphorbia crop production costs are competitive with those of corn. Alfalfa production costs per acre are less than those of Euphorbia in the Kansas/Oklahoma and Southern Illinois site, but greater in the irrigated regions. This disparity is accounted for largely by differences in productivity and irrigation requirements.

Mendel, D.A.

1979-08-01T23:59:59.000Z

262

Lookin g for data personnel costs, indirect costs, equipment costs  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Negotiating Group Question/Answer Sessions November 19, 2009 Q: What happens now? A: The negotiation process starts tomorrow [November 20, 2009], when DOE will be sending the Awardees an e-mail with information about which website to go to for clarification and direction, information from the Office of Civil Rights, and answers to some of the questions that came up in the meeting. DOE will be gathering information about the questions concerning cyber requirements, metrics, and reporting requirements and will be getting back to the awardees about those issues the week after Thanksgiving. We have done a review of the budgets, and emails will be sent giving opportunities to address any issues. We will also re-review technical and cost proposals.

263

Energy Tips: Benchmark the Fuel Cost of Steam Generation  

NLE Websites -- All DOE Office Websites (Extended Search)

Type (sales unit) Type (sales unit) Energy Content Combustion (Btu/sales unit) Efficiency (%) Natural Gas (therm) 100,000 81.7 Natural Gas (cubic foot) 1,030 81.7 Distillate/No. 2 Oil (gallon) 138,700 84.6 Residual/No. 6 Oil (gallon) 149,700 86.1 Coal (ton) 27,000,000 87.6 Benchmark the Fuel Cost of Steam Generation Benchmarking the fuel cost of steam generation ($/1000 lbs of steam) is an effective way to assess the efficiency of your steam system. This cost is dependent upon fuel type, unit fuel cost, boiler efficiency, feedwater temperature, and steam pressure. This calculation provides a good first approximation for the cost of generating steam and serves as a tracking device to allow for boiler performance monitoring. Table 1 shows the heat input required to produce one pound of saturated

264

Uncertainty Quantification and Calibration in Well Construction Cost Estimates  

E-Print Network (OSTI)

The feasibility and success of petroleum development projects depend to a large degree on well construction costs. Well construction cost estimates often contain high levels of uncertainty. In many cases, these costs have been estimated using deterministic methods that do not reliably account for uncertainty, leading to biased estimates. The primary objective of this work was to improve the reliability of deterministic well construction cost estimates by incorporating probabilistic methods into the estimation process. The method uses historical well cost estimates and actual well costs to develop probabilistic correction factors that can be applied to future well cost estimates. These factors can be applied to the entire well cost or to individual cost components. Application of the methodology to estimation of well construction costs for horizontal wells in a shale gas play resulted in well cost estimates that were well calibrated probabilistically. Overall, average estimated well cost using this methodology was significantly more accurate than average estimated well cost using deterministic methods. Systematic use of this methodology can provide for more accurate and efficient allocation of capital for drilling campaigns, which should have significant impacts on reservoir development and profitability.

Valdes Machado, Alejandro

2013-08-01T23:59:59.000Z

265

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

Science Conference Proceedings (OSTI)

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

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

1981-12-01T23:59:59.000Z

266

A toolbox for calculating net anthropogenic nitrogen inputs (NANI)  

Science Conference Proceedings (OSTI)

The ''Net Anthropogenic Nitrogen Input'' (NANI) to a region represents an estimate of anthropogenic net nitrogen (N) fluxes across its boundaries, and is thus a measure of the effect of human activity on the regional nitrogen cycle. NANI accounts for ... Keywords: Anthropogenic, Nitrogen, Synthesis, Toolbox, Watershed

Bongghi Hong; Dennis P. Swaney; Robert W. Howarth

2011-05-01T23:59:59.000Z

267

cost | OpenEI  

Open Energy Info (EERE)

cost cost Dataset Summary Description The following data-set is for a benchmark residential home for all TMY3 locations across all utilities in the US. The data is indexed by utility service provider which is described by its "unique" EIA ID ( Source National Renewable Energy Laboratory Date Released April 05th, 2012 (2 years ago) Date Updated April 06th, 2012 (2 years ago) Keywords AC apartment CFL coffeemaker Computer cooling cost demand Dishwasher Dryer Furnace gas HVAC Incandescent Laptop load Microwave model NREL Residential television tmy3 URDB Data text/csv icon Residential Cost Data for Common Household Items (csv, 14.5 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL)

268

Vehicle Cost Calculator  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric Plug-in Hybrid Electric Natural Gas (CNG) Flex Fuel (E85) Biodiesel (B20) Next Vehicle Cost Calculator U.S. Department of Energy Energy Efficiency and Renewable Energy...

269

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

DOE Green Energy (OSTI)

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

Not Available

1993-06-30T23:59:59.000Z

270

COSTS OF NUCLEAR POWER  

SciTech Connect

The discussion on the costs of nuclear power from stationary plants, designed primarily for the generation of electricity. deals with those plants in operation, being built, or being designed for construction at an early date. An attempt is made to consider the power costs on the basis of consistent definitions and assumptions for the various nuclear plants and for comparable fossil-fuel plants. Information on several new power reactor projects is included. (auth)

1961-01-01T23:59:59.000Z

271

Economic costs of conventional surface-water treatment: A case study of the Mcallen northwest facility  

E-Print Network (OSTI)

Conventional water treatment facilities are the norm for producing potable water for U.S. metropolitan areas. Rapidly-growing urban populations, competing demands for water, imperfect water markets, and uncertainty of future water supplies contribute to high interests in alternative sources of potable water for many U.S. municipalities. In situations where multiple supply alternatives exist, properly analyzing which alternative is the most-economically efficient over the course of its useful life requires a sound economic and financial analysis of each alternative using consistent methodology. This thesis discusses such methodology and provides an assessment of the life-cycle costs of conventional water treatment using actual data from an operating surface-water treatment facility located in McAllen, Texas: the McAllen Northwest facility. This facility has a maximum-designed operating capacity of 8.25 million gallons per day (mgd), but due to required shutdown time and other limitations, it is currently operating at 78% of the designed capacity (6.44 mgd). The economic and financial life-cycle costs associated with constructing and operating the McAllen Northwest facility are analyzed using a newly-developed Excel 2 spreadsheet model, CITY H O ECONOMICS . Although specific results are applicable only to the McAllen Northwest facility, the baseline results of $771.67/acre-foot (acft)/ yr {$2.37/1,000 gallons/yr} for this analysis provide insight regarding the life-cycle costs for conventional surface-water treatment. The baseline results are deterministic (i.e., noninclusive of risk/uncertainty about datainput values), but are expanded to include sensitivity analyses with respect to several critical factors including the facilitys useful life, water rights costs, initial construction costs, and annual operations and maintenance, chemical, and energy costs. For example, alternative costs for water rights associated with sourcing water for conventional treatment facilities are considered relative to the assumed baseline cost of $2,300/ac-ft, with results ranging from a low of $653.34/ac-ft/yr (when water rights are $2,000/ac-ft) to a high of $1,061.83/ac-ft/yr (when water rights are $2,600/ac-ft). Furthermore, modifications to key data-input parameters and results are included for a more consistent basis of comparison to enable comparisons across facilities and/or technologies. The modified results, which are considered appropriate to compare to other similarly calculated values, are $667.74/ac-ft/yr {2.05/1,000 gallons/yr}.

Rogers, Callie Sue

2008-05-01T23:59:59.000Z

272

Simple cost model for EV traction motors  

DOE Green Energy (OSTI)

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

Cuenca, R.M.

1995-02-01T23:59:59.000Z

273

Costs to build Fermilab in 1984 dollars  

SciTech Connect

It is of current interest to examine the costs incurred to date to build Fermi National Accelerator Laboratory and to determine what those costs are when stated in FY 1984 constant dollars. The appended tables are in support of this exercise and are based on all costs for Equipment items (reduced by obsolescence) and all Plant Projects which have been appropriated through FY 1984. Also included are non-plant costs which are required to complete the Energy Saver, Tevatron I and II projects (i.e., Equipment and R and D in support of Construction). This study makes the assumption that all funding through FY 1984 will have been costed by the end of FY 1986. Those costs incurred in FY 1985 and FY 1986 have been deflated to FY 1984 dollars. See Appendix A for the DOE inflation factors used in the conversion to FY 1984 dollars. The costs are identified in three categories. The Accelerator Facilities include all accelerator components, the buildings which enclose them and utilities which support them. The Experimental Facilities include all beam lines, enclosures, utilities and experimental equipment which are usable in current experimental programs. The Support Facilities include lab and office space, shops, assembly facilities, roads, grounds and the utilities which do not specifically support the Accelerator or Experimental Facilities, etc.

Jordan, N.G.; Livdahl, P.V.

1984-02-01T23:59:59.000Z

274

Total Refinery Net Input of Crude Oil and Petroleum Products  

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

Input Input Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids Pentanes Plus Liquefied Petroleum Gases Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Conventional MGBC - CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Aviation Gasoline Blending Components (net) Alaskan Crude Oil Receipts Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

275

Refinery & Blenders Net Input of Crude Oil  

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

Input Input Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquefied Petroleum Gases Ethane Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished Oils, Naphthas and Lighter Unfinished Oils, Kerosene and Light Gas Oils Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Components (MGBC) (net) MGBC - Reformulated MGBC - Reformulated - RBOB MGBC - Reformulated, RBOB for Blending w/ Alcohol MGBC - Reformulated, RBOB for Blending w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - CBOB MGBC - Conventional, GTAB MGBC - Other Conventional Aviation Gasoline Blending Components (net) Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

276

Documentation of Calculation Methodology, Input Data, and Infrastructure  

NLE Websites -- All DOE Office Websites (Extended Search)

Documentation of Calculation Methodology, Input Data, and Infrastructure Documentation of Calculation Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Title Documentation of Calculation Methodology, Input Data, and Infrastructure for the Home Energy Saver Web Site Publication Type Report LBNL Report Number LBNL-51938 Year of Publication 2005 Authors Pinckard, Margaret J., Richard E. Brown, Evan Mills, James D. Lutz, Mithra M. Moezzi, Celina S. Atkinson, Christopher A. Bolduc, Gregory K. Homan, and Katie Coughlin Document Number LBNL-51938 Pagination 108 Date Published July 13 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract The Home Energy Saver (HES, http://HomeEnergySaver.lbl.gov) is an interactive web site designed to help residential consumers make decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major categories (end uses); heating, cooling, water heating, major appliances, lighting, and miscellaneous equipment. The approach taken by the Home Energy Saver is to provide users with initial results based on a minimum of user input, allowing progressively greater control in specifying the characteristics of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations. Real-world electricity tariffs are used for many locations, making the bill estimates even more accurate. Where information about the house is not available from the user, default values are used based on end-use surveys and engineering studies. An extensive body of qualitative decision-support information augments the analytical results.

277

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 196 417 102 0 8,335 40,370 49,847 51,543 49,014 54,408 1990's 53,144 52,557 58,496 57,680 57,127 57,393 55,867 53,179 54,672 53,185 2000's 49,190 51,004 53,184 53,192 47,362 51,329 54,361 51,103 50,536 53,495 2010's 54,813 51,303 52,541 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas

278

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

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,574 11,504 9,786 9,896 8,616 13,421 12,099 13,774 14,846 14,539 1990's 9,962 14,789 14,362 14,950 7,737 7,291 6,778 6,464 9,082 5,761 2000's 8,296 12,330 3,526 473 530 435 175 379 489 454 2010's 457 392 139 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas New Jersey Supplemental Supplies of Natural Gas

279

Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 1,838 63 2,006 2,470 2,689 2,142 2,199 1,948 2,088 1990's 2,361 2,032 1,437 791 890 15 315 134 11 4 2000's 339 6 1 13 39 16 19 33 28 18 2010's 12 9 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Nebraska Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

280

Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3 3,038 2,473 2,956 2,773 2,789 2,754 2,483 2,402 2,402 1990's 19,106 15,016 14,694 12,795 13,688 21,378 21,848 22,238 21,967 20,896 2000's 12,423 4,054 0 0 0 0 0 0 0 0 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Michigan Supplemental Supplies of Natural Gas

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,868 9,133 8,877 7,927 9,137 8,934 8,095 8,612 10,322 9,190 1990's 15,379 6,778 7,158 8,456 8,168 7,170 6,787 6,314 5,292 4,526 2000's 4,772 5,625 5,771 5,409 5,308 5,285 6,149 6,869 6,258 7,527 2010's 5,148 4,268 4,412 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Colorado Supplemental Supplies of Natural Gas

282

Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 69,169 69,850 64,812 62,032 43,866 24,444 5,182 18 44 348 1990's 849 891 1,051 992 1,432 904 1,828 1,423 1,194 1,200 2000's 1,442 1,149 79 1,002 492 579 423 608 460 522 2010's 353 296 366 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Ohio Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

283

Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,190 2,993 2,899 2,775 2,449 2,655 2,630 2,461 2,801 2,844 1990's 2,817 2,725 2,711 2,705 2,831 2,793 2,761 2,617 2,715 2,752 2000's 2,769 2,689 2,602 2,602 2,626 2,606 2,613 2,683 2,559 2,447 2010's 2,472 2,467 2,510 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Hawaii Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

284

Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15,366 21,828 17,586 10,732 6,545 3,668 2,379 1,404 876 692 1990's 317 120 105 61 154 420 426 147 68 134 2000's 26 16 137 324 80 46 51 15 13 10 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Massachusetts Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply &

285

Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1,602 5,056 3,496 4,142 4,027 2,711 2,351 3,890 4,243 3,512 1990's 3,015 3,077 3,507 3,232 2,457 3,199 3,194 3,580 3,149 5,442 2000's 5,583 5,219 1,748 2,376 2,164 1,988 1,642 635 30 1 2010's 1 5 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Indiana Supplemental Supplies of Natural Gas

286

Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet)  

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

Input Supplemental Fuels (Million Cubic Feet) Input Supplemental Fuels (Million Cubic Feet) Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 36,713 29,509 19,005 19,734 17,308 19,805 22,980 12,514 9,803 9,477 1990's 8,140 6,869 8,042 9,760 7,871 6,256 3,912 4,165 2,736 2,527 2000's 1,955 763 456 52 14 15 13 11 15 20 2010's 17 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Total Supplemental Supply of Natural Gas Illinois Supplemental Supplies of Natural Gas

287

Low cost performance evaluation of passive solar buildings  

DOE Green Energy (OSTI)

An approach to low-cost instrumentation and performance evaluation of passive solar heated buildings is presented. Beginning with a statement of the need for a low-cost approach, a minimum list of measured quantities necessary to compute a set of recommended performance factors is developed. Conflicts and confusion surrounding the definition of various performance factors are discussed and suggestions are made for dealing with this situation. Available instrumentation and data processing equipment is presented. The recommended system would monitor approximately ten variables and compute numerous performance factors on site at a projected system cost of less than $3,000 per installation.

Palmiter, L.S.; Hamilton, L.B.; Holtz, M.J.

1979-10-01T23:59:59.000Z

288

Roadway Improvement Project Cost Allocation  

E-Print Network (OSTI)

Roadway Improvement Project Cost Allocation CTS 21st Annual Transportation Research Conference costs #12;Potential Applications · Roadway Project Feasibility Studies ­ Identified potential roadway infrastructure improvement ­ Documentation of estimated project costs ­ Determine property assessments

Minnesota, University of

289

Power Plant Cycling Costs  

NLE Websites -- All DOE Office Websites (Extended Search)

Power Plant Cycling Costs Power Plant Cycling Costs April 2012 N. Kumar, P. Besuner, S. Lefton, D. Agan, and D. Hilleman Intertek APTECH Sunnyvale, California NREL Technical Monitor: Debra Lew Subcontract Report NREL/SR-5500-55433 July 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Power Plant Cycling Costs April 2012 N. Kumar, P. Besuner, S. Lefton, D. Agan, and D. Hilleman Intertek APTECH Sunnyvale, California NREL Technical Monitor: Debra Lew Prepared under Subcontract No. NFT-1-11325-01

290

INDEPENDENT COST REVIEW (ICR)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

COST REVIEW (ICR) COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) STANDARD OPERATING PROCEDURES (SOP) Revision 1 DEPARTMENT OF ENERGY (DOE) OFFICE OF ACQUISITION AND PROJECT MANAGEMENT (OAPM) September 2013 SUMMARY OF UPDATES: This revision includes the following significant changes since the December 2011 SOP release: 1. The original SOP discussed how an EIR and an ICE could be executed in tandem, but since we are no longer advocating this approach the ICE process has been completely separated from the EIR process and references to EIRs have been removed. 2. Section 1 adds a reference to Public Law 2055 reflecting that we must now, as a matter of law, perform an ICE at CD-3 for projects with a TPC over $100 million. 3. Section 2 notes that DOE Programs must now pay for ICRs and ICEs and reflects that PARS II must be

291

INDEPENDENT COST REVIEW (ICR)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

COST REVIEW (ICR) COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) STANDARD OPERATING PROCEDURES (SOP) Revision 1 DEPARTMENT OF ENERGY (DOE) OFFICE OF ACQUISITION AND PROJECT MANAGEMENT (OAPM) September 2013 SUMMARY OF UPDATES: This revision includes the following significant changes since the December 2011 SOP release: 1. The original SOP discussed how an EIR and an ICE could be executed in tandem, but since we are no longer advocating this approach the ICE process has been completely separated from the EIR process and references to EIRs have been removed. 2. Section 1 adds a reference to Public Law 2055 reflecting that we must now, as a matter of law, perform an ICE at CD-3 for projects with a TPC over $100 million. 3. Section 2 notes that DOE Programs must now pay for ICRs and ICEs and reflects that PARS II must be

292

Prime Factorization in the Duality Computer  

E-Print Network (OSTI)

We give algorithms to factorize large integers in the duality computer. We provide three duality algorithms for factorization based on a naive factorization method, the Shor algorithm in quantum computing, and the Fermat's method in classical computing. All these algorithms are polynomial in the input size.

Wan-Ying Wang; Bin Shang; Chuan Wang; Gui Lu Long

2006-07-04T23:59:59.000Z

293

Production Cost Optimization Assessments  

Science Conference Proceedings (OSTI)

The benefits of improved thermal performance of coal-fired power plants continue to grow, as the costs of fuel rise and the prospect of a carbon dioxide cap and trade program looms on the horizon. This report summarizes the efforts to date of utilities committed to reducing their heat rate by 1.0% in the Production Cost Optimization (PCO) Project. The process includes benchmarking of plant thermal performance using existing plant data and a site-specific performance appraisal. The appraisal determines po...

2008-12-11T23:59:59.000Z

294

Low Cost, Durable Seal  

SciTech Connect

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.

Roberts, George; Parsons, Jason; Friedman, Jake

2010-12-17T23:59:59.000Z

295

Argonne CNM Highlight: Deciphering Uncertainties in the Cost of Solar  

NLE Websites -- All DOE Office Websites (Extended Search)

Deciphering Uncertainties in the Cost of Solar Energy Deciphering Uncertainties in the Cost of Solar Energy Photovoltaic electricity is a rapidly growing renewable energy source and will ultimately assume a major role in global energy production. The cost of solar-generated electricity is typically compared with electricity produced by traditional sources with a levelized cost of energy (LCOE) calculation. Generally, LCOE is treated as a definite number, and the assumptions lying beneath that result are rarely reported or even understood. We shed light on some of the key assumptions and offer a new approach to calculating LCOE for photovoltaics based on input parameter distributions feeding a Monte Carlo simulation. In this framework, the influence of assumptions and confidence intervals becomes clear.

296

SunShot Initiative: Low-Cost Heliostat Development  

NLE Websites -- All DOE Office Websites (Extended Search)

Cost Heliostat Development Cost Heliostat Development HiTek logo Photo of a machine with two round discs connected by intertwined chains. A staged-chain drive unit eliminates destructive coupling loads from severe wind conditions and greatly reduces cumulative fatigue damage. HiTek Services, under the Baseload CSP FOA, is conducting fundamental parametric analyses of the optimum heliostat size and developing a novel low-cost heliostat design. Approach There are four tasks under this award: Develop a means to determine the optimum size range of the heliostat, in terms of the applied forces and moments, manufacturing learning curve effects, O&M, and optical efficiency. The outcome of this task will be a spreadsheet analysis tool for parametrically determining heliostat costs that are appropriately allocated into categories with inputs for a specific design.

297

Federal Energy Management Program: Energy and Cost Savings Calculators for  

NLE Websites -- All DOE Office Websites (Extended Search)

and Cost Savings Calculators for Energy-Efficient Products and Cost Savings Calculators for Energy-Efficient Products The energy and cost calculators below allow Federal agencies to enter their own input values (such as utility rates, hours of use) to estimate energy and cost savings for energy-efficient products. Some are Web-based tools; others are Excel spreadsheets provided by ENERGY STAR® for download. Lighting Compact Fluorescent Lamps Exit Signs Commercial and Industrial Equipment Commercial Unitary Air Conditioners Air-Cooled Chillers Commercial Heat Pumps Boilers Food Service Equipment Dishwashers Freezers Fryers Griddles Hot Food Holding Cabinets Ovens Refrigerators Steam Cookers Ice Machines Office Equipment Computers, Monitors, and Imaging Equipment Appliances Dishwashers Clothes Washers Residential Equipment Central Air Conditioners

298

Entanglement cost of implementing controlled-unitary operations  

E-Print Network (OSTI)

We investigate the minimum entanglement cost of the deterministic implementation of two-qubit controlled-unitary operations using local operations and classical communication (LOCC). We show that any such operation can be implemented by a three-turn LOCC protocol, which requires at least 1 ebit of entanglement when the resource is given by a bipartite entangled state with Schmidt number 2. Our result implies that there is a gap between the minimum entanglement cost and the entangling power of controlled-unitary operations. This gap arises due to the requirement of implementing the operations while oblivious to the identity of the inputs.

Akihito Soeda; Peter S. Turner; Mio Murao

2010-08-06T23:59:59.000Z

299

Service Provider Competition: Delay Cost Structure, Segmentation, and Cost Advantage  

Science Conference Proceedings (OSTI)

We model competition between two providers who serve delay-sensitive customers. We compare a generalized delay cost structure, where a customer's delay cost depends on her service valuation, with the traditional additive delay cost structure, where the ... Keywords: delay cost structure, service competition, value-based market segmentation

Maxim Afanasyev; Haim Mendelson

2010-04-01T23:59:59.000Z

300

Heliostat cost reduction study.  

DOE Green Energy (OSTI)

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.

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

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Current mode instrumentation amplifier with rail-to-rail input and output  

Science Conference Proceedings (OSTI)

A Current Mode Instrumentation Amplifier with rail-to-rail input and output is presented. It is based on constant gm input stages, and cascode output stages. Although this CMIA structure has a good Input Common Mode Voltage, it suffers from a poor output ... Keywords: analog integrated circuits, current mode instrumentation amplifier, rail-to-rail input and output

Filipe Costa Beber Vieira; Cesar Augusto Prior; Cesar Ramos Rodrigues; Leonardo Perin; Joao Baptista dos Santos Martins

2007-09-01T23:59:59.000Z

302

Estimating decommissioning costs: The 1994 YNPS decommissioning cost study  

Science Conference Proceedings (OSTI)

Early this year, Yankee Atomic Electric Company began developing a revised decommissioning cost estimate for the Yankee Nuclear Power Station (YNPS) to provide a basis for detailed decommissioning planning and to reflect slow progress in siting low-level waste (LLW) and spent-nuclear-fuel disposal facilities. The revision also reflects the need to change from a cost estimate that focuses on overall costs to a cost estimate that is sufficiently detailed to implement decommissioning and identify the final cost of decommissioning.

Szymczak, W.J.

1994-12-31T23:59:59.000Z

303

Percent of 2010 Luminaire Cost LED Luminaire Cost  

E-Print Network (OSTI)

LEDs promise to change the world, and few doubt that they will, but a key limiter to more rapid adoption is the cost of the LED themselves. The cost breakdown of LED luminaires vary, but it is safe to put the cost of the LED at around 25% to 40 % of the total luminaire cost. It is projected to remain a significant cost of the total luminaire for many years.

unknown authors

2012-01-01T23:59:59.000Z

304

Geothermal materials project input for conversion technology task  

DOE Green Energy (OSTI)

This ongoing laboratory-based high risk/high payoff R D program has already yielded several durable cost-effective materials of construction which are being used by the geothermal energy industry. In FY 1992, R D in the following areas will be performed: (1) advanced high-temperature (300{degrees}C) CO{sub 2}-resistant lightweight well-cementing materials, (2) high-temperature chemical systems for lost-circulation control, (3) thermally conductive composites for heat exchange applications, (4) corrosion mitigation at the Geysers, and (5) high-temperature chemical coupling materials to bond elastomers to steel substrates. Work to address other materials problems will commence in FY 1993, as their needs are verified. All of the activities will be performed as cost-shared activities with other National Laboratories and/or industry. Successful developments will significantly reduce the cost of well drilling and completion, and energy-extraction processes. 3 figs., 2 tabs.

Kukacka, L.E.

1991-04-01T23:59:59.000Z

305

Study of photovoltaic cost elements. Volume 4. Installation cost model for residential PV systems: users manual. Final report  

SciTech Connect

A quantitative methodology is presented for estimating installation costs of residential photovoltaic systems. The Installation Cost Model for Residential PV Systems is comprised of 144 estimating equations selectively exercised, based on user definition of the system. At the input stage, Residential PV systems can be fully described by 9 design option categories and 9 system specification categories. All assumptions have been validated with installers of solar thermal systems and with TB and A's Architects and Engineers Division. A discussion of the model is included as well as an example of its use with an 8 KW PV system for a Southwest All-Electric Residential design.

1981-07-01T23:59:59.000Z

306

When Does Information Asymmetry Affect the Cost of Capital?  

E-Print Network (OSTI)

This paper examines when information asymmetry among investors affects the cost of capital in excess of standard risk factors. When equity markets are perfectly competitive, information asymmetry has no separate effect on ...

Armstrong, Christopher S.

307

Multidisciplinary structural design and optimization for performance, cost, and flexibility  

E-Print Network (OSTI)

Reducing cost and improving performance are two key factors in structural design. In the aerospace and automotive industries, this is particularly true with respect to design criteria such as strength, stiffness, mass, ...

Nadir, William David, 1979-

2005-01-01T23:59:59.000Z

308

Characterization of industrial process waste heat and input heat streams  

SciTech Connect

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

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

1984-05-01T23:59:59.000Z

309

Role of Data Communications in Hybrid Cloud Costs  

Science Conference Proceedings (OSTI)

Rapid adoption of cloud services in recent years has been driven by multiple factors, such as faster time-to-market and improved scalability enabled by public cloud infrastructure. Hybrid clouds, combining the in-house capacities with on-demand capacity ... Keywords: hybrid cloud, cost model, data communications cost

Oleksiy Mazhelis; Pasi Tyrvainen

2011-08-01T23:59:59.000Z

310

Recent Developments in the Levelized Cost of Energy from  

E-Print Network (OSTI)

1 Recent Developments in the Levelized Cost of Energy from U.S. Wind Power Projects Ryan Wiser This analysis was funded by the Wind & Water Power Program, Office of Energy Efficiency and Renewable Energy factor trends fails to convey recent improvements in the levelized cost of energy (LCOE) from wind

311

Transition-cost issues for a restructuring US electricity industry  

Science Conference Proceedings (OSTI)

Utilities regulators can use a variety of approaches to calculate transition costs. We categorized these approaches along three dimensions. The first dimension is the use of administrative vs. market procedures to value the assets in question. Administrative approaches use analytical techniques to estimate transition costs. Market valuation relies on the purchase price of particular assets to determine their market values. The second dimension concerns when the valuation is done, either before or after the restructuring of the electricity industry. The third dimension concerns the level of detail involved in the valuation, what is often called top-down vs. bottom-up valuation. This paper discusses estimation approaches, criteria to assess estimation methods, specific approaches to estimating transition costs, factors that affect transition-cost estimates, strategies to address transition costs, who should pay transition costs, and the integration of cost recovery with competitive markets.

NONE

1997-03-01T23:59:59.000Z

312

Energy Technology Cost and Performance Data | OpenEI  

Open Energy Info (EERE)

Technology Cost and Performance Data Technology Cost and Performance Data Dataset Summary Description This data indicates the range of recent cost estimates for renewable energy and other technologies. The estimates are shown in dollars per installed kilowatts of generating capacity. This data provides a compilation of available national-level cost data from a variety of sources. Costs in your specific location will vary. All costs are in 2006 dollars per installed kilowatts in the United States. Source NREL Date Released August 06th, 2009 (5 years ago) Date Updated August 06th, 2009 (5 years ago) Keywords analysis Department of Energy DOE National Renewable Energy Laboratory Data application/vnd.ms-excel icon Energy Technology Cost and Performance Data (xls, 107.5 KiB) text/csv icon Capacity Factor (csv, 1.8 KiB)

313

Feature-based investment cost estimation based on modular design of a continuous pharmaceutical manufacturing system  

E-Print Network (OSTI)

Previous studies of continuous manufacturing processes have used equipment-factored cost estimation methods to predict savings in initial plant investment costs. In order to challenge and validate the existing methods of ...

Collins, Donovan (Donovan Scott)

2011-01-01T23:59:59.000Z

314

costs | OpenEI  

Open Energy Info (EERE)

7 7 Varnish cache server costs Dataset Summary Description This dataset represents a historical repository of all the numerical data from the smartgrid.gov website condensed into spreadsheets to enable analysis of the data. Below are a couple of things worth noting: Source Smartgrid.gov Date Released March 04th, 2013 (11 months ago) Date Updated March 04th, 2013 (11 months ago) Keywords AMI costs distribution smart grid transmission Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon SmartGrid.gov Quarterly Data Summary 4Q12 (xlsx, 112.1 KiB) application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon SmartGrid.gov Quarterly Data Summary 3Q12 (xlsx, 107.9 KiB) application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon SmartGrid.gov Quarterly Data Summary 2Q12 (xlsx, 111.9 KiB)

315

Geothermal probabilistic cost study  

DOE Green Energy (OSTI)

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)

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

1981-08-01T23:59:59.000Z

316

SUSTAINABILITY, RESOURCE SUBSTITUTION IN ENERGY INPUTS AND LEARNING  

E-Print Network (OSTI)

. In Brazil, Ethanol became the main substitute for petrol (85% of cars are flex-fuel in Brazil resources (in the sense of non-depletable energy which also includes hydro power, wind energy, solar energy)). This is mainly due to the currently higher costs of alternative energy sources like solar, hydro or biomass (IEA

Paris-Sud XI, Université de

317

Residential oil burners with low input and two stages firing  

SciTech Connect

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

Butcher, T.; Krajewski, R.; Leigh, R. [and others

1997-12-31T23:59:59.000Z

318

Design of the spoke cavity ED&D input coupler.  

DOE Green Energy (OSTI)

The current design of the Accelerator Driven Test Facility (ADTF) accelerator contains multiple {beta}, superconducting, resonant cavities. Spoke-type resonators ({beta} = 0.175 and {beta} = 0.34) are proposed for the low energy linac immediately following the radio frequency quadrupole. A continuous wave power requirement of 8.5 - 211.8 kW, 350 MHz has been established for the input couplers of these spoke cavities. The coupler design approach was to have a single input coupler design for beam currents of 13.3 mA and 100 mA and both cavity {beta}'s. The baseline design consists of a half-height WR2300 waveguide section merged with a shorted coaxial conductor. At the transition is a 4.8-mm thick cylindrical ceramic window creating the air/vacuum barrier. The coax is 103-mm inner diameter, 75 Ohm. The coax extends from the short through the waveguide and terminates with an antenna tip in the sidewall of the cavity. A full diameter pumping port is located in the quarter-wave stub to facilitate good vacuum. The coaxial geometry chosen was based on multipacting and thermal design considerations. The coupling coefficient is adjusted by statically adjusting the outer conductor length. The RF-physics, thermal, vacuum, and structural design considerations will be discussed in this paper, in addition to future room temperature testing plans.

Schmierer, E. N. (Eric N.); Chan, K. D. (Kwok-Chi D.); Gentzlinger, R.C. (Robert C.); Haynes, W. B. (William B.); Krawczyk, F. L. (Frank L.); Montoya, D. I. (Debbie I.); Roybal, P. L. (Phillip L.); Schrage, D. L. (Dale L.); Tajima, T. (Tsuyoshi)

2001-01-01T23:59:59.000Z

319

Cost Study Manual | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Cost Study Manual Cost Study Manual Update 62912. Memo regarding Cost Study Manual Cost Study Manual More Documents & Publications Technical Standards, Newsletter-June 1999 Build...

320

Hydrogen Refueling Station Costs in Shanghai  

E-Print Network (OSTI)

E. Hydrogen Supply: Cost Estimate for Hydrogen Pathways -costs are compared with cost estimates of similar stationsHydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping

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

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

User's manual: GCOST: A gas cost-of-service program: Version 1. 0  

SciTech Connect

The process of rate design for a gas distribution utility requires the use of cost-of-service studies. A cost-of-service study finds the various costs of serving all of a utility's customers, and allocates these costs to individual customer classes. Costs include investments in plant and equipment, operating expenses, and taxes. There are two distinct approaches that underlie cost-of-service studies. One approach is based on marginal costs and the other on embedded costs. The marginal-cost allocation can be defined as the incremental cost of adding a single customer to the system. The embedded cost is the customer's share of historical costs. Of the two approaches, the latter is easier to implement and traditionally has been used for rate-making purposes. GCOST is designed to perform cost-of-service studies using the traditional embedded cost approach. It accepts accounting, financial, and operating data as user input. It then allocates the various items of utility plant and operating expenses to each customer class according to user-specified methods. For each cost item or account, the user has the option of specifying an allocation method or formula. This flexibility allows the user to experiment with different combinations of allocation methods. GCOST is interfaced with a database management program, which is used to prepare input data files prior to running GCOST. The user has the choice of either using DBMGR, developed by NRRI, or the commercial software dBASE III PLUS, as the database management program. GCOST is designed for use on an IBM Personal Computer XT, AT, or compatible system.

Harunuzzaman, M.; Iyyuni, G.

1989-05-01T23:59:59.000Z

322

Tight gas sands study breaks down drilling and completion costs  

Science Conference Proceedings (OSTI)

Given the high cost to drill and complete tight gas sand wells, advances in drilling and completion technology that result in even modest cost savings to the producer have the potential to generate tremendous savings for the natural gas industry. The Gas Research Institute sponsored a study to evaluate drilling and completion costs in selected tight gas sands. The objective of the study was to identify major expenditures associated with tight gas sand development and determine their relative significance. A substantial sample of well cost data was collected for the study. Individual well cost data were collected from nearly 300 wells in three major tight gas sand formations: the Cotton Valley sand in East Texas, the Frontier sand in Wyoming, and the Wilcox sand in South Texas. The data were collected and organized by cost category for each formation. After the information was input into a data base, a simple statistical analysis was performed. The statistical analysis identified data discrepancies that were then resolved, and it helped allow conclusions to be drawn regarding drilling and completion costs in these tight sand formations. Results are presented.

Brunsman, B. (Gas Research Inst., Chicago, IL (United States)); Saunders, B. (S.A. Holditch Associates Inc., College Station, TX (United States))

1994-06-06T23:59:59.000Z

323

US Nuclear Regulatory Commission Input to DOE Request for Information Smart  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

US Nuclear Regulatory Commission Input to DOE Request for US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input. Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New Technologies" and "Reliability and Cyber-Security," US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input More Documents & Publications Comments of DRSG to DOE Smart Grid RFI: Addressing Policy and Logistical Challenges Reply Comments of Entergy Services, Inc. Progress Energy draft regarding Smart Grid RFI: Addressing Policy and

324

Pennsylvania life cycle costing manual  

SciTech Connect

Until the 1970s, it was commonplace for institutions and governments to purchase equipment based on lowest initial (first) costs. Recurring costs such as operational, maintenance, and energy costs often were not considered in the purchase decision. If an agency wanted to buy something, it published specifications and requested bids from several manufacturers. Often, the lowest bidder who met the specifications won the job, with no consideration given to the economic life of the equipment or yearly recurring costs such as energy and maintenance costs. The practice of purchasing based on lowest initial costs probably did not make good economic sense prior to 1970, and it certainly does not make good sense now. The wise person will consider all costs and benefits associated with a purchase, both initial and post-purchase, in order to make procurement decisions that are valid for the life of the equipment. This describes a method of financial analysis that considers all pertinent costs: life cycle costing (LCC).

1996-02-01T23:59:59.000Z

325

Analysis of nuclear power plant construction costs  

SciTech Connect

The objective of this report is to present the results of a statistical analysis of nuclear power plant construction costs and lead-times (where lead-time is defined as the duration of the construction period), using a sample of units that entered construction during the 1966-1977 period. For more than a decade, analysts have been attempting to understand the reasons for the divergence between predicted and actual construction costs and lead-times. More importantly, it is rapidly being recognized that the future of the nuclear power industry rests precariously on an improvement in the cost and lead-time situation. Thus, it is important to study the historical information on completed plants, not only to understand what has occurred to also to improve the ability to evaluate the economics of future plants. This requires an examination of the factors that have affected both the realized costs and lead-times and the expectations about these factors that have been formed during the construction process. 5 figs., 22 tabs.

1986-01-01T23:59:59.000Z

326

Battery-level material cost model facilitates high-power li-ion battery cost reductions.  

SciTech Connect

Under the FreedomCAR Partnership, Argonne National Laboratory (ANL) is working to identify and develop advanced anode, cathode, and electrolyte components that can significantly reduce the cost of the cell chemistry, while simultaneously enhancing the calendar life and inherent safety of high-power Li-Ion batteries. Material cost savings are quantified and tracked via the use of a cell and battery design model that establishes the quantity of each material needed in batteries designed to meet the requirements of hybrid electric vehicles (HEVs). In order to quantify the material costs, relative to the FreedomCAR battery cost goals, ANL uses (1) laboratory cell performance data, (2) its battery design model and (3) battery manufacturing process yields to create battery-level material cost models. Using these models and industry-supplied material cost information, ANL assigns battery-level material costs for different cell chemistries. These costs can then be compared to the battery cost goals to determine the probability of meeting the goals with these cell chemistries. The most recent freedomCAR cost goals for 25-kW and 40-kW power-assist HEV batteries are $500 and $800, respectively, which is $20/kW in both cases. In 2001, ANL developed a high-power cell chemistry that was incorporated into high-power 18650 cells for use in extensive accelerated aging and thermal abuse characterization studies. This cell chemistry serves as a baseline for this material cost study. It incorporates a LiNi0.8Co0.15Al0.05O2 cathode, a synthetic graphite anode, and a LiPF6 in EC:EMC electrolyte. Based on volume production cost estimates for these materials-as well as those for binders/solvents, cathode conductive additives, separator, and current collectors--the total cell winding material cost for a 25-kW power-assist HEV battery is estimated to be $399 (based on a 48- cell battery design, each cell having a capacity of 15.4 Ah). This corresponds to {approx}$16/kW. Our goal is to reduce the cell winding material cost to <$10/kW, in order to allow >$10/kW for the cell and battery manufacturing costs, as well as profit for the industrial manufacturer. The material cost information is obtained directly from the industrial material suppliers, based on supplying the material quantities necessary to support an introductory market of 100,000 HEV batteries/year. Using its battery design model, ANL provides the material suppliers with estimates of the material quantities needed to meet this market, for both 25-kW and 40-kW power-assist HEV batteries. Also, ANL has funded a few volume-production material cost analyses, with industrial material suppliers, to obtain needed cost information. In a related project, ANL evaluates and develops low-cost advanced materials for use in high-power Li-Ion HEV batteries. [This work is the subject of one or more separate papers at this conference.] Cell chemistries are developed from the most promising low-cost materials. The performance characteristics of test cells that employ these cell chemistries are used as input to the cost model. Batteries, employing these cell chemistries, are designed to meet the FreedomCAR power, energy, weight, and volume requirements. The cost model then provides a battery-level material cost and material cost breakdown for each battery design. Two of these advanced cell chemistries show promise for significantly reducing the battery-level material costs (see Table 1), as well as enhancing calendar life and inherent safety. It is projected that these two advanced cell chemistries (A and B) could reduce the battery-level material costs by an estimated 24% and 43%, respectively. An additional cost advantage is realized with advanced chemistry B, due to the high rate capability of the 3-dimensional LiMn{sub 2}O{sub 4} spinel cathode. This means that a greater percentage of the total Ah capacity of the cell is usable and cells with reduced Ah capacity can be used. This allows for a reduction in the quantity of the anode, electrolyte, separator, and current collector materials needed f

Henriksen, G.; Chemical Engineering

2003-01-01T23:59:59.000Z

327

LIFE Cost of Electricity, Capital and Operating Costs  

Science Conference Proceedings (OSTI)

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.

Anklam, T

2011-04-14T23:59:59.000Z

328

Cost-sensitive classifier evaluation using cost curves  

Science Conference Proceedings (OSTI)

The evaluation of classifier performance in a cost-sensitive setting is straightforward if the operating conditions (misclassification costs and class distributions) are fixed and known. When this is not the case, evaluation requires a method of visualizing ...

Robert C. Holte; Chris Drummond

2008-05-01T23:59:59.000Z

329

Plug-In Electric Vehicle Lithium-Ion Battery Cost and Advanced Battery Technologies Forecasts  

Science Conference Proceedings (OSTI)

Batteries are a critical cost factor for plug-in electric vehicles, and the current high cost of lithium ion batteries poses a serious challenge for the competitiveness of Plug-In Electric Vehicles (PEVs). Because the market penetration of PEVs will depend heavily on future battery costs, determining the direction of battery costs is very important. This report examines the cost drivers for lithium-ion PEV batteries and also presents an assessment of recent advancements in the growing attempts to ...

2012-12-12T23:59:59.000Z

330

Geothermal Electricity Technologies Evaluation Model DOE Tool for Assessing Impact of Research on Cost of Power  

DOE Green Energy (OSTI)

The U.S. Department of Energy (DOE) has developed a spreadsheet model to provide insight as to how its research activities can impact of cost of producing power from geothermal energy. This model is referred to as GETEM, which stands for Geothermal Electricity Technologies Evaluation Model. Based on user input, the model develops estimates of costs associated with exploration, well field development, and power plant construction that are used along with estimated operating costs to provide a predicted power generation cost. The model allows the user to evaluate how reductions in cost, or increases in performance or productivity will impact the predicted power generation cost. This feature provides a means of determining how specific technology improvements can impact generation costs, and as such assists DOE in both prioritizing research areas and identifying where research is needed.

Greg Mines

2008-01-01T23:59:59.000Z

331

Cost Sensitive Conditional Planning  

E-Print Network (OSTI)

While POMDPs provide a general platform for conditional planning under a wide range of quality metrics they have limited scalability. On the other hand, uniform probability conditional planners scale very well, but many lack the ability to optimize plan quality metrics. We present an innovation to planning graph based heuristics that helps uniform probability conditional planners both scale and generate high quality plans when using actions with non uniform costs. We make empirical comparisons with two state of the art planners to show the benefit of our techniques.

Daniel Bryce; Subbarao Kambhampati

2005-01-01T23:59:59.000Z

332

MULTIPLE INPUT BINARY ADDER EMPLOYING MAGNETIC DRUM DIGITAL COMPUTING APPARATUS  

DOE Patents (OSTI)

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

Cooke-Yarborough, E.H.

1960-12-01T23:59:59.000Z

333

Geothermal materials project input for conversion technology task  

DOE Green Energy (OSTI)

This ongoing laboratory-based high risk/high payoff R and D program has already yielded several durable cost-effective materials of construction for geothermal energy processes. In FY 1991, R and D in the following areas will be performed: (1) development and downhole testing of advanced high-temperature (300{degrees}C) CO{sub 2}-resistant lightweight (1.1 g/cc) well-cementing materials, (2) high-temperature chemical systems for lost-circulation control, (3) thermally conductive scale-resistant composites for heat-exchanger tubing, (4) high-temperature chemical coupling materials which can be used to bond elastomers to steel substrates, and (5) high-temperature elastomers for use in downhole drill motors. Contingent upon the results, work on heat-exchanger tubing and lost-circulation control materials will be completed FY 1991 and the other activities will be continued in FY 1992. Work on other materials needs will commence in FY 1992. These include the in situ conversion of drilling fluids into well-completion materials and ceramic-type well casing. All of the subtasks will be performed as cost-shared activities with other National Laboratories and/or industry. Successful developments will significantly reduce the cost of well drilling and completion, and energy-extraction processes. Results to date are discussed. 2 refs., 2 figs., 2 tabs.

Kukacka, L.E.

1990-08-01T23:59:59.000Z

334

References 16.1 Haptic Input 3 January, 2013 Buxton  

E-Print Network (OSTI)

-feedback joystick for telemanipulaion. Proceedings of the NASA Workshop on Space Telerobotics, 341-348. Ahlberg, C issues. Human Factors, 14(4), 275-293. Alford, R. (1990). The mouse that roared. Byte, 15(12), 395

Buxton, William

335

Reduction in Fabrication Costs of Gas Diffusion Layers  

Science Conference Proceedings (OSTI)

Ballard Material Products (BMP) performed a pre-design technical and cost analysis of state of the art production technologies feasible for high volume GDL manufacturing. Based upon criteria that also included environmental health and safety, customer quality requirements, and future needs, BMP selected technologies that can be integrated into its current manufacturing process. These selections included Many-At-A-Time (MAAT) coating and continuous mixing technologies, as well as various on-line process control tools. These processes have allowed BMP to produce high performance GDLs at lower cost for near-term markets, as well as to define the inputs needed to develop a conceptual Greenfield facility to meet the cost targets for automotive volumes of 500,000 vehicles per year.

Jason Morgan; Donald Connors; Michael Hickner

2012-07-10T23:59:59.000Z

336

Cost effective multimedia courseware development  

Science Conference Proceedings (OSTI)

Multimedia technology offers considerable potential for education though the costs of production of courseware are prohibitive especially in a rapidly changing discipline such as computer science. This paper proposes a cost-effective technique which ...

C. J. Pilgrim; Y. K. Leung; D. D. Grant

1997-06-01T23:59:59.000Z

337

Overview and Low Cost Processing  

Science Conference Proceedings (OSTI)

Mar 4, 2013 ... The major reason that there is not more widespread use of titanium and its alloys is the high cost. Developments in reducing the cost of titanium...

338

Cost and Impacts of Policies  

NLE Websites -- All DOE Office Websites (Extended Search)

and Policies RESULTS 2010-2025 and long-run impacts 2010-2025 GovernmentIndustry Costs Hydrogen production, infrastructure & cost HyTrans merges the early transition...

339

User cost in oil production  

E-Print Network (OSTI)

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 ...

Adelman, Morris Albert

1990-01-01T23:59:59.000Z

340

Cost-sensitive classifier evaluation  

Science Conference Proceedings (OSTI)

Evaluating classifier performance in a cost-sensitive setting is straightforward if the operating conditions (misclassification costs and class distributions) are fixed and known. When this is not the case, evaluation requires a method of visualizing ...

Robert C. Holte; Chris Drummond

2005-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

GEOCITY: a computer code for calculating costs of district heating using geothermal resources  

DOE Green Energy (OSTI)

GEOCITY is a computer simulation model developed to study the economics of district heating using geothermal energy. GEOCITY calculates the cost of district heating based on climate, population, resource characteristics, and financing conditions. The principal input variables are minimum temperature, heating degree days, population size and density, resource temperature and distance from load center, and the interest rate. From this input data the model designs the transmission and district heating systems. From this design, GEOCITY calculates the capital and operating costs for the entire system, including the production and disposal of the geothermal water. GEOCITY consists of two major submodels: the geothermal reservoir model and the distribution system model. The distribution system model calculates the cost of heat by simulating the design and the operation of the district heating system. The reservoir model calculates the cost of energy by simulating the discovery, development and operation of a geothermal resource and the transmission of this energy to a distribution center.

McDonald, C.L.; Bloomster, C.H.; Schulte, S.C.

1977-02-01T23:59:59.000Z

342

Energy Efficiency Improvement and Cost Saving Opportunities for the Dairy Processing Industry  

E-Print Network (OSTI)

load factor, running time, local energy costs, and availablecosts, reduced processing time, and increased resource and energycosts and to increase predictable earnings, especially in times of high energy

Brush, Adrian

2012-01-01T23:59:59.000Z

343

Wind Integration Cost and Cost-Causation: Preprint  

DOE Green Energy (OSTI)

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.

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

344

3800 Green Series Cost Elements  

Energy.gov (U.S. Department of Energy (DOE))

Stoller - Legacy ManagementSustainable Acquisition (formerly EPP) Program 3800 Series Cost Elements01/30/2012 (Rev. 4)

345

Empirical Methods of Cost Estimation  

Science Conference Proceedings (OSTI)

...D.P. Hoult and C.L. Meador, Manufacturing Cost Estimating, Materials Selection and Design, Vol 20, ASM Handbook,

346

Bifacial Efficiency at Monofacial Cost  

solar cells; photovoltaics; PV; bifacial efficiency; Monofacial Cost, Bifacial Cells; bifacial Modules; industry growth forum; gamma solar Created ...

347

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

348

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

349

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

350

U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet...  

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

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

351

Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results  

Science Conference Proceedings (OSTI)

A system making optimal use of available information in incremental language comprehension might be expected to use linguistic knowledge together with current input to revise beliefs about previous input. Under some circumstances, such an error-correction ...

Roger Levy

2011-06-01T23:59:59.000Z

352

U-270:Trend Micro Control Manager Input Validation Flaw in Ad...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0:Trend Micro Control Manager Input Validation Flaw in Ad Hoc Query Module Lets Remote Users Inject SQL Commands U-270:Trend Micro Control Manager Input Validation Flaw in Ad Hoc...

353

COST SHARING ON SPONSORED PROJECTS  

E-Print Network (OSTI)

COST SHARING ON SPONSORED PROJECTS 1 California Institute of Technology Issuing Authority: Office is that portion of the total cost of an externally funded project that is not funded by the sponsor. Depending as a demonstration of its commitment to the project. When voluntary cost sharing is included in the proposal budget

Tai, Yu-Chong

354

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

contractual, energy and market-related characteristics. Alocal-level wholesale energy market price dynamics and localexpenses, and energy factor market inputs. In a companion

Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

2010-01-01T23:59:59.000Z

355

Energy and cost analysis of residential heating systems  

SciTech Connect

Several energy-saving design changes in residential space-heating systems were examined to determine their energy-conservation potential and cost effectiveness. Changes in conventional and advanced systems (such as the gas heat pump) were considered. The energy and cost estimates were developed from current literature, conversations with heating and equipment manufacturers and dealers, and discussions with individuals doing research and testing on residential space-heating equipment. Energy savings as large as 26, 20, 57% were estimated for design changes in conventional gas, oil, and electric space-heating systems, respectively. These changes increased capital cost of the three systems by 27, 16, and 26%, respectively. For advanced gas and electric systems, energy savings up to 45 and 67%, respectively, were calculated. The design changes needed to produce these energy savings increased capital costs 80 and 35%. The energy use and cost relationships developed for the space heating systems were used as input to the ORNL residential energy-use simulation model to evaluate the effect of space-heating improvements on national energy use to the year 2000. Results indicated a large reduction in national energy use if improved conventional and advanced systems were made available to consumers and if consumers minimized life-cycle costs when purchasing these systems.

O' Neal, D.L.

1978-07-01T23:59:59.000Z

356

An analysis of nuclear power plant operating costs: A 1995 update  

SciTech Connect

Over the years real (inflation-adjusted) O&M cost have begun to level off. The objective of this report is to determine whether the industry and NRC initiatives to control costs have resulted in this moderation in the growth of O&M costs. Because the industry agrees that the control of O&M costs is crucial to the viability of the technology, an examination of the factors causing the moderation in costs is important. A related issue deals with projecting nuclear operating costs into the future. Because of the escalation in nuclear operating costs (and the fall in fossil fuel prices) many State and Federal regulatory commissions are examining the economics of the continued operation of nuclear power plants under their jurisdiction. The economics of the continued operation of a nuclear power plant is typically examined by comparing the cost of the plants continued operation with the cost of obtaining the power from other sources. This assessment requires plant-specific projections of nuclear operating costs. Analysts preparing these projections look at past industry-wide cost trends and consider whether these trends are likely to continue. To determine whether these changes in trends will continue into the future, information about the causal factors influencing costs and the future trends in these factors are needed. An analysis of the factors explaining the moderation in cost growth will also yield important insights into the question of whether these trends will continue.

1995-04-21T23:59:59.000Z

357

An Electricity-focused Economic Input-output Model: Life-cycle Assessment and Policy Implications of Future Electricity Generation Scenarios  

E-Print Network (OSTI)

chains and emission factors for the generation, transmission and distribution portions of the electricityAn Electricity-focused Economic Input-output Model: Life-cycle Assessment and Policy Implications of Future Electricity Generation Scenarios Joe Marriott Submitted in Partial Fulfillment of the Requirements

358

A CMOS Voltage Comparator with Rail-to-Rail Input-Range  

Science Conference Proceedings (OSTI)

A simple new continuous-time CMOS comparator circuit with rail-to-rail input common-mode range and rail-to-rail output is presented. This design uses parallel complementary decision paths to accommodate power-supply-valued inputs. The 2 decision results ... Keywords: CMOS continuous-time voltage comparator, rail-to-rail input range

Wei-Shang Chu; K. Wayne Current

1999-05-01T23:59:59.000Z

359

17.2 - Cost Participation  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

17.2 (June 2004) 17.2 (June 2004) 1 Cost Participation [Reference: FAR 35.003(b), DEAR 917.70] Overview This section discusses DOE treatment of cost participation by organizations performing research, development, and demonstration projects under DOE prime contracts. This section does not cover efforts and projects performed for DOE by other Federal agencies. Background Cost participation is a generic term denoting any situation where the Government does not fully reimburse the contractor for all allowable costs necessary to accomplish the project or effort under the contract. The term includes, but is not limited to: * Cost Sharing * Cost Matching * Cost Limitation, which may be direct or indirect * Participation in-kind

360

Gross Input to Atmospheric Crude Oil Distillation Units  

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

Day) Day) Process: Gross Input to Atmospheric Crude Oil Dist. Units Operable Capacity (Calendar Day) Operating Capacity Idle Operable Capacity Operable Utilization Rate Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Process Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. 15,283 15,709 16,327 16,490 16,306 16,162 1985-2013 PADD 1 1,134 1,188 1,178 1,142 1,122 1,130 1985-2013 East Coast 1,077 1,103 1,080 1,058 1,031 1,032 1985-2013 Appalachian No. 1 57 85 98 84 90 97 1985-2013 PADD 2 3,151 3,087 3,336 3,572 3,538 3,420 1985-2013 Ind., Ill. and Ky. 2,044 1,947 2,069 2,299 2,330 2,266 1985-2013

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

,"U.S. Blender Net Input"  

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

Monthly","9/2013","1/15/2005" Monthly","9/2013","1/15/2005" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_inpt3_dc_nus_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt3_dc_nus_mbbl_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:22:43 AM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRB_NUS_1","M_EPL0_YIB_NUS_MBBL","MPPRB_NUS_1","M_EPLL_YIB_NUS_MBBL","MBNRB_NUS_1","MBIRB_NUS_1","M_EPOL_YIB_NUS_MBBL","M_EPOOXR_YIB_NUS_MBBL","MMTRB_NUS_1","M_EPOOR_YIB_NUS_MBBL","MFERB_NUS_1","M_EPOORD_YIB_NUS_MBBL","M_EPOORO_YIB_NUS_MBBL","M_EPPU_YIB_NUS_MBBL","M_EPOUN_YIB_NUS_MBBL","M_EPOUK_YIB_NUS_MBBL","M_EPOUH_YIB_NUS_MBBL","M_EPOUR_YIB_NUS_MBBL","MBCRB_NUS_1","MO1RB_NUS_1","M_EPOBGRR_YIB_NUS_MBBL","MO3RB_NUS_1","MO4RB_NUS_1","MO2RB_NUS_1","MO5RB_NUS_1","MO6RB_NUS_1","MO7RB_NUS_1","MO9RB_NUS_1"

362

Interface module for transverse energy input to dye laser modules  

SciTech Connect

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

English, Jr., Ronald E. (Tracy, CA); Johnson, Steve A. (Tracy, CA)

1994-01-01T23:59:59.000Z

363

Interface module for transverse energy input to dye laser modules  

DOE Patents (OSTI)

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

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

1994-10-11T23:59:59.000Z

364

KEPLER INPUT CATALOG: PHOTOMETRIC CALIBRATION AND STELLAR CLASSIFICATION  

Science Conference Proceedings (OSTI)

We describe the photometric calibration and stellar classification methods used by the Stellar Classification Project to produce the Kepler Input Catalog (KIC). The KIC is a catalog containing photometric and physical data for sources in the Kepler mission field of view; it is used by the mission to select optimal targets. Four of the visible-light (g, r, i, z) magnitudes used in the KIC are tied to Sloan Digital Sky Survey magnitudes; the fifth (D51) is an AB magnitude calibrated to be consistent with Castelli and Kurucz (CK) model atmosphere fluxes. We derived atmospheric extinction corrections from hourly observations of secondary standard fields within the Kepler field of view. For these filters and extinction estimates, repeatability of absolute photometry for stars brighter than magnitude 15 is typically 2%. We estimated stellar parameters {l_brace}T{sub eff}, log (g), log (Z), E{sub B-V}{r_brace} using Bayesian posterior probability maximization to match observed colors to CK stellar atmosphere models. We applied Bayesian priors describing the distribution of solar-neighborhood stars in the color-magnitude diagram, in log (Z), and in height above the galactic plane. Several comparisons with samples of stars classified by other means indicate that for 4500 K {data archive.

Brown, Timothy M. [Las Cumbres Observatory Global Telescope, Goleta, CA 93117 (United States); Latham, David W.; Esquerdo, Gilbert A. [Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138 (United States); Everett, Mark E., E-mail: tbrown@lcogt.net, E-mail: latham@cfa.harvard.edu, E-mail: gesquerd@cfa.harvard.edu, E-mail: everett@noao.edu [National Optical Astronomy Observatories, Tucson, AZ 85721 (United States)

2011-10-15T23:59:59.000Z

365

An improved charge pump power factor correction electronic ballast  

SciTech Connect

An improved charge pump power factor correction (CPPFC) electronic ballast using the charge pump concept is proposed in this paper. Circuit derivation, principle of operation, and the conditions for achieving unity power factor are discussed. The proposed electronic ballast is implemented and tested with two 40-W fluorescent lamps. It is shown that 84% of overall efficiency and 1.6 of crest factor can be achieved with 200-V line input voltage. The measured line input current harmonics satisfy IEC 1000-3-2 Class C requirements. The lamp power variation range is automatically limited within {+-}15% for {+-}10% line input voltage variation without feedback control.

Qian, J.; Lee, F.C.; Yamauchi, T.

1999-11-01T23:59:59.000Z

366

Larger Turbines and the Future Cost of Wind Energy (Poster)  

DOE Green Energy (OSTI)

The move to larger turbines has been observed in the United States and around the world. Turbine scaling increases energy capture while reducing general project infrastructure costs and landscape impacts, each of which of can reduce the cost of wind energy. However, scaling in the absence of innovation, can increase turbine costs. The ability of turbine designers and manufacturers to continue to scale turbines, while simultaneously reducing costs, is an important factor in long-term viability of the industry. This research seeks to better understand how technology innovation can allow the continued development of larger turbines on taller towers while also achieving lower cost of energy. Modeling incremental technology improvements identified over the past decade demonstrates that cost reductions on the order of 10%, and capacity factor improvements on the order of 5% (for sites with annual mean wind speed of 7.25 m/s at 50m), are achievable for turbines up to 3.5 MW. However, to achieve a 10% cost reduction and a 10% capacity factor improvement for turbines up to 5 MW, additional technology innovations must be developed and implemented.

Lantz, E.; Hand, M.

2011-03-01T23:59:59.000Z

367

GUIDE TO NUCLEAR POWER COST EVALUATION. VOLUME 4. FUEL CYCLE COSTS  

SciTech Connect

Information on fuel cycle cost is presented. Topics covered include: nuclear fuel, fuel management, fuel cost, fissionable material cost, use charge, conversion and fabrication costs, processing cost, and shipping cost. (M.C.G.)

1962-03-15T23:59:59.000Z

368

Nuclear fuel fabrication and refabrication cost estimation methodology  

SciTech Connect

The costs for construction and operation of nuclear fuel fabrication facilities for several reactor types and fuels were estimated, and the unit costs (prices) of the fuels were determined from these estimates. The techniques used in estimating the costs of building and operating these nuclear fuel fabrication facilities are described in this report. Basically, the estimation techniques involve detailed comparisons of alternative and reference fuel fabrication plants. Increases or decreases in requirements for fabricating the alternative fuels are identified and assessed for their impact on the capital and operating costs. The impact on costs due to facility size or capacity was also assessed, and scaling factors for the various captial and operating cost categories are presented. The method and rationale by which these scaling factors were obtained are also discussed. By use of the techniques described herein, consistent cost information for a wide variety of fuel types can be obtained in a relatively short period of time. In this study, estimates for 52 fuel fabrication plants were obtained in approximately two months. These cost estimates were extensively reviewed by experts in the fabrication of the various fuels, and, in the opinion of the reviewers, the estimates were very consistent and sufficiently accurate for use in overall cycle assessments.

Judkins, R.R.; Olsen, A.R.

1979-11-01T23:59:59.000Z

369

Proper input phase-space filling for accurate beam-dynamics codes  

Science Conference Proceedings (OSTI)

In the future, more attention will be required concerning the filling of the input phase space used by particle-simulation codes. The prospect of greatly improved particle-tracking codes implies that code input distributions must be accurate models of real input distributions. Much of present simulation work is done using artificial phase-space distributions (K-V, waterbag, etc.). Real beams can differ dramatically from such ideal input. We have already developed a method for deriving code input distributions from measurements. This paper addresses the problem of determining the number of pseudoparticles needed to model the measured distribution properly.

Boicourt, G.P.; Vasquez, M.C.

1986-01-01T23:59:59.000Z

370

Emerging Input Technologies for Always-Available Mobile Interaction  

Science Conference Proceedings (OSTI)

Miniaturizing our computers so we can carry them in our pockets has drastically changed the way we use technology. However, mobile computing is often peripheral to the act of operating in the real world, and the form factor of today's mobile devices ...

Dan Morris; T. Scott Saponas; Desney Tan

2011-04-01T23:59:59.000Z

371

Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Application  

NLE Websites -- All DOE Office Websites (Extended Search)

presentation presentation does not contain any proprietary, confidential, or otherwise restricted information page 1 Overview * Base Period: - 100% complete * Manufacturing costs * Materials costs (particularly precious Timeline Barriers - Feb 17, 2006 to Feb. 16, 2008 * Option year 1 of 3: - 65% complete - Started Feb 16, 2008 metal catalysts) Characteristic Units 2008 2010 2015 Stack Cost $/kW e (net) - $25 $15 - $325K (2 year base period) - $182k (opt. yr. 1) - Contractor share: $0 * Funding for FY 2008 * Extensive interaction with Collaborations System Cost $/kW e (net) - $45 $30 * Funding for FY 2008 - $182k industry/researchers to solicit design & manufacturing metrics as input to cost analysis. page 2 Started Feb 16, 2008 Budget * Total project funding DOE Cost Targets

372

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

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

Updated estimates of power plant capital and operating costs" Updated estimates of power plant capital and operating costs" ,"Plant Characteristics",,,"Plant Costs (2012$)" ,"Nominal Capacity (MW)","Heat Rate (Btu/kWh)",,"Overnight Capital Cost ($/kW)","Fixed O&M Cost ($/kW-yr)","Variable O&M Cost ($/MWh)" ,,,,,,,"NEMS Input" " Coal" "Single Unit Advanced PC",650,8800,,3246,37.8,4.47,"N" "Dual Unit Advanced PC",1300,8800,,2934,31.18,4.47,"Y" "Single Unit Advanced PC with CCS",650,12000,,5227,80.53,9.51,"Y" "Dual Unit Advanced PC with CCS",1300,12000,,4724,66.43,9.51,"N" "Single Unit IGCC ",600,8700,,4400,62.25,7.22,"N"

373

Electric Demand Cost Versus Labor Cost: A Case Study  

E-Print Network (OSTI)

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. For small plants, it is quite possible that a decrease in labor could result in an increase in electric demand and cost or vice versa. In this paper two cases are presented which highlight the dependence of one on other.

Agrawal, S.; Jensen, R.

1998-04-01T23:59:59.000Z

374

A mission taxonomy-based approach to planetary rover cost-reliability tradeoffs  

Science Conference Proceedings (OSTI)

Our earlier work on robot mission reliability provides tradeoff analysis between input parameters such as mission success rate, robot team size, and robot component reliability, but only for specific tasks. Here we take a more comprehensive approach ... Keywords: failure, mission cost, mission design, mission taxonomy, planetary robot, reliability, robot configuration optimization

David Asikin; John M. Dolan

2009-09-01T23:59:59.000Z

375

Environmental, economic, and energetic costs and benefits of biodiesel and ethanol biofuels  

E-Print Network (OSTI)

Environmental, economic, and energetic costs and benefits of biodiesel and ethanol biofuels Jason for renewable transportation biofuels. To be a viable alternative, a biofuel should provide a net energy gain inputs and more efficient conversion of feed- stocks to fuel. Neither biofuel can replace much petroleum

Minnesota, University of

376

Optimizing Power Factor Correction  

E-Print Network (OSTI)

The optimal investment for power factor correcting capacitors for Kansas Power and Light Company large power contract customers is studied. Since the billing capacity is determined by dividing the real demand by the power factor (the minimum billing capacity is based on 80 percent of the summer peak billing capacity) and the billing capacity is used to determine the number of kilowatt-hours billed at each pricing tier, the power factor affects both the demand and the energy charge. There is almost no information available in the literature concerning recommended power factor corrections for this situation. The general advice commonly given in the past has been that power factor should be corrected to above 0.9 if it is below that value to begin with, but that does not take into account the facts of the situation studied here. Calculations relevant to a commercial consumer of electricity were made for demands of 200, 400, 800, 1,600, 3,200, and 6,400 kW and monthly energy consumption periods of 100, 150, 200, 300, 400, and 500 hours for several capacitor purchase and installation costs. The results are displayed in a series of graphs that enable annual cost savings and payback periods to be readily determined over a range of commonly encountered parameter values. It is found that it is often economically advantageous to correct a power factor to near unity.

Phillips, R. K.; Burmeister, L. C.

1986-06-01T23:59:59.000Z

377

Comparison of indirect cost multipliers for vehicle manufacturing  

SciTech Connect

In the process of manufacturing and selling vehicles, a manufacturer incurs certain costs. Among these costs are those incurred directly as a part of manufacturing operations and those incurred indirectly in the processes of manufacturing and selling. The indirect costs may be production-related, such as R and D and engineering; business-related, such as corporate staff salaries and pensions; or retail-sales-related, such as dealer support and marketing. These indirect costs are recovered by allocating them to each vehicle. Under a stable, high-volume production process, the allocation of these indirect costs can be approximated as multipliers (or factors) applied to the direct cost of manufacturing. A manufacturer usually allocates indirect costs to finished vehicles according to a corporation-specific pricing strategy. Because the volumes of sales and production vary widely by model within a corporation, the internal corporate percent allocation of various accounting categories (such as profit or corporate overheat) can vary widely among individual models. Approaches also vary across corporations. For these purposes, an average value is constructed, by means of a generic representative method, for vehicle models produced at high volume. To accomplish this, staff at Argonne National Laboratory's (ANL's) Center for Transportation Research analyzed the conventional vehicle cost structure and developed indirect cost multipliers for passenger vehicles. This memorandum summarizes the results of an effort to compare and put on a common basis the cost multipliers used in ANL's electric and hybrid electric vehicle cost estimation procedures with those resulting from two other methodologies. One of the two compared methodologies is derived from a 1996 presentation by Dr. Chris Borroni-Bird of Chrysler Corporation, the other is by Energy and Environmental Analysis, Inc. (EEA), as described in a 1995 report by the Office of Technology Assessment (OTA), Congress of the United States. The cost multipliers are used for scaling the component costs to retail prices.

Vyas, A.; Santini, D.; Cuenca, R.

2000-05-16T23:59:59.000Z

378

Advanced Fuel Cycle Cost Basis  

SciTech Connect

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 modules23 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.

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

379

Advanced Fuel Cycle Cost Basis  

SciTech Connect

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 modules24 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.

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

380

Advanced Fuel Cycle Cost Basis  

SciTech Connect

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 modules23 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.

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

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

U-001:Symantec IM Manager Input Validation Flaws | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

U-001:Symantec IM Manager Input Validation Flaws U-001:Symantec IM Manager Input Validation Flaws U-001:Symantec IM Manager Input Validation Flaws October 3, 2011 - 12:45pm Addthis PROBLEM: Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks. PLATFORM: Version(s): prior to 8.4.18 ABSTRACT: Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks. reference LINKS: Security Advisory: SYM11-012 SecurityTracker Alert ID: 1026130 IMPACT ASSESSMENT: Medium Discussion: Several vulnerabilities were reported in Symantec IM Manager. A remote user can conduct cross-site scripting attacks. A remote user can inject SQL commands. Several scripts do not properly filter HTML code from user-supplied input before displaying the input [CVE-2011-0552]. A remote user can create a

382

Impacts on irrigated agriculture of changes in electricity costs resulting from Western Area Power Administration`s power marketing alternatives  

DOE Green Energy (OSTI)

Irrigation is a major factor in the growth of US agricultural productivity, especially in western states, which account for more than 85% of the nation`s irrigated acreage. In some of these states, almost all cropland is irrigated, and nearly 50% of the irrigation is done with electrically powered pumps. Therefore, even small increases in the cost of electricity could have a disproportionate impact on irrigated agriculture. This technical memorandum examines the impacts that could result from proposed changes in the power marketing programs of the Western Area Power Administration`s Salt Lake City Area Office. The changes could increase the cost of power to all Western customers, including rural municipalities and irrigation districts that rely on inexpensive federal power to pump water. The impacts are assessed by translating changes in Western`s wholesale power rate into changes in the cost of pumping water as an input for agricultural production. Farmers can adapt to higher electricity prices in many ways, such as (1) using different pumping fuels, (2) adding workers and increasing management to irrigate more efficiently, and (3) growing more drought-tolerant crops. This study projects several responses, including using less groundwater and planting fewer waterintensive crops. The study finds that when dependence on Western`s power is high, the cost of power can have a major effect on energy use, agricultural practices, and the distribution of planted acreage. The biggest percentage changes in farm income would occur (1) in Nevada and Utah (however, all projected changes are less than 2% of the baseline) and (2) under the marketing alternatives that represent the lowest capacity and energy offer considered in Western`s Electric Power Marketing Environmental Impact Statement. The aggregate impact on farm incomes and the value of total farm production would be much smaller than that suggested by the changes in water use and planted acreage.

Edwards, B.K.; Flaim, S.J.; Howitt, R.E. [Argonne National Lab., IL (United States); Palmer, S.C. [Western Area Power Administration, Salt Lake City, UT (United States)

1995-03-01T23:59:59.000Z

383

Today in Energy - High airline jet fuel costs prompt cost ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... and idling time. ... Delta stated that it anticipates cost savings of $300 million per year as a result of this ...

384

,"U.S. Refinery Net Input"  

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

2,"Annual",2012,"6/30/2005" 2,"Annual",2012,"6/30/2005" ,"Data 2","Alaskan Crude Oil Receipts",1,"Annual",2012,"6/30/1986" ,"Release Date:","9/27/2013" ,"Next Release Date:","9/26/2014" ,"Excel File Name:","pet_pnp_inpt2_dc_nus_mbbl_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt2_dc_nus_mbbl_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:21:04 AM" "Back to Contents","Data 1: Refinery Net Input" "Sourcekey","MTTRO_NUS_1","MCRRO_NUS_1","MNGRO_NUS_1","MPPRO_NUS_1","MLPRO_NUS_1","MBNRO_NUS_1","MBIRO_NUS_1","MOLRO_NUS_1","MOHRO_NUS_1","M_EPOOOH_YIY_NUS_MBBL","M_EPOOXXFE_YIY_NUS_MBBL","MMTRO_NUS_1","MOORO_NUS_1","M_EPOOR_YIY_NUS_MBBL","MFERO_NUS_1","M_EPOORD_YIY_NUS_MBBL","M_EPOOOXH_YIY_NUS_MBBL","MUORO_NUS_1","MNLRO_NUS_1","MKORO_NUS_1","MH1RO_NUS_1","MRURO_NUS_1","MBCRO_NUS_1","MO1RO_NUS_1","M_EPOBGRR_YIY_NUS_MBBL","MO3RO_NUS_1","MO4RO_NUS_1","MO5RO_NUS_1","MO6RO_NUS_1","MO7RO_NUS_1","MO9RO_NUS_1","MBARO_NUS_1"

385

,"U.S. Refinery Net Input"  

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

3,"Monthly","9/2013","1/15/2005" 3,"Monthly","9/2013","1/15/2005" ,"Data 2","Alaskan Crude Oil Receipts",1,"Monthly","9/2013","1/15/1986" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_inpt2_dc_nus_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt2_dc_nus_mbbl_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"11/25/2013 11:21:05 AM" "Back to Contents","Data 1: Refinery Net Input" "Sourcekey","MTTRO_NUS_1","MCRRO_NUS_1","MNGRO_NUS_1","MPPRO_NUS_1","MLPRO_NUS_1","MBNRO_NUS_1","MBIRO_NUS_1","MOLRO_NUS_1","MOHRO_NUS_1","M_EPOOOH_YIY_NUS_MBBL","M_EPOOXXFE_YIY_NUS_MBBL","MMTRO_NUS_1","MOORO_NUS_1","M_EPOOR_YIY_NUS_MBBL","MFERO_NUS_1","M_EPOORD_YIY_NUS_MBBL","M_EPOORO_YIY_NUS_MBBL","M_EPOOOXH_YIY_NUS_MBBL","MUORO_NUS_1","MNLRO_NUS_1","MKORO_NUS_1","MH1RO_NUS_1","MRURO_NUS_1","MBCRO_NUS_1","MO1RO_NUS_1","M_EPOBGRR_YIY_NUS_MBBL","MO3RO_NUS_1","MO4RO_NUS_1","MO5RO_NUS_1","MO6RO_NUS_1","MO7RO_NUS_1","MO9RO_NUS_1","MBARO_NUS_1"

386

COST COMPARISONS OF CAPITOL INVESTMENT IN VARIOUS NUCLEAR POWER PLANTS FOR CENTRAL STATION APPLICATION  

SciTech Connect

The capital costs for a number of power reactors are compared after escalation to equivalent construction dates. It is shown that the most important factor affecting nuclear power plant capital costs is the net capacity of the plant. Steam conditions are shown to have a relatively minor effect on capital costs. (auth)

Bender, M.; Stulting, R.D.

1958-10-14T23:59:59.000Z

387

An Explanation of F&A Costs What are F&A Costs?  

E-Print Network (OSTI)

An Explanation of F&A Costs What are F&A Costs? Costs involved in conducting sponsored projects costs and F&A costs together are the actual cost of a sponsored project. Direct costs are "those costs, indirect costs cannot be specifically attributed to an individual project. For example, it is difficult

388

Hydrogen refueling station costs in Shanghai  

E-Print Network (OSTI)

tool to compare existing cost estimates from the literature,It compiles and organizes cost estimates obtained from aE. Hydrogen supply: cost estimate for hydrogen pathways

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

2007-01-01T23:59:59.000Z

389

Biodiesel Performance, Costs, and Use  

U.S. Energy Information Administration (EIA)

Biodiesel Performance, Costs, and Use. by Anthony Radich. Introduction. The idea of using vegetable oil for fuel has been around as long as the diesel engine.

390

HTGR Cost Model Users' Manual  

Science Conference Proceedings (OSTI)

The High Temperature Gas-Cooler Reactor (HTGR) Cost Model was developed at the Idaho National Laboratory for the Next Generation Nuclear Plant Project. The HTGR Cost Model calculates an estimate of the capital costs, annual operating and maintenance costs, and decommissioning costs for a high-temperature gas-cooled reactor. The user can generate these costs for multiple reactor outlet temperatures; with and without power cycles, including either a Brayton or Rankine cycle; for the demonstration plant, first of a kind, or nth of a kind project phases; for a single or four-pack configuration; and for a reactor size of 350 or 600 MWt. This users manual contains the mathematical models and operating instructions for the HTGR Cost Model. Instructions, screenshots, and examples are provided to guide the user through the HTGR Cost Model. This model was design for users who are familiar with the HTGR design and Excel. Modification of the HTGR Cost Model should only be performed by users familiar with Excel and Visual Basic.

A.M. Gandrik

2012-01-01T23:59:59.000Z

391

Download Data | Transparent Cost Database  

Open Energy Info (EERE)

in the database does not represent approval of the estimates by DOE or NREL. Levelized cost calculations DO NOT represent real world market conditions. The calculation uses a...

392

Preemptive scheduling with position costs  

E-Print Network (OSTI)

horizon is divided into time periods. In these models, the whole production is not processed in a single period, and production and holding costs are introduced...

393

FIRM PRODUCTIVITY AND SUNK COSTS  

E-Print Network (OSTI)

The main objective of this paper is to explore whether or not sunk costs are systematically related to productivity dierences at the rm level, as suggested by models of industry dynamics (Hopenhayn, 1992).The comparisons of productivity distributions for groups of rms with dierent levels of sunk costs are performed by non-parametric procedures and for a large scale rm-level panel data set of Spanish manufacturing rms. We nd that sunk costs are an important source of heterogeneity across rm productivity. The evidence we nd is consistent with models of industry dynamics predicting lower productivity for rms with a higher level of sunk costs.

Jose C. Farias; Sonia Ruano

2004-01-01T23:59:59.000Z

394

WSRC Nuclear Materials Cost Module  

National Nuclear Security Administration (NNSA)

Office (GAO) WSRC NM Cost Module Generates WSRC monthly and fiscal year to date Inventory and Manufacturing Statement for government owned accountable nuclear materials....

395

Low Cost Carbon Fiber Production Carbon Fiber Manufacturing Cost Modeling  

E-Print Network (OSTI)

Low Cost Carbon Fiber Production Carbon Fiber Manufacturing Cost Modeling Oak Ridge National been identified by carbon fiber manufacturers as a market with substantial growth potential. When manufactured with carbon fiber as opposed to traditional materials such as steel, automotive parts are able

396

Processing Cost Analysis for Biomass Feedstocks  

DOE Green Energy (OSTI)

The receiving, handling, storing, and processing of woody biomass feedstocks is an overlooked component of biopower systems. The purpose of this study was twofold: (1) to identify and characterize all the receiving, handling, storing, and processing steps required to make woody biomass feedstocks suitable for use in direct combustion and gasification applications, including small modular biopower (SMB) systems, and (2) to estimate the capital and operating costs at each step. Since biopower applications can be varied, a number of conversion systems and feedstocks required evaluation. In addition to limiting this study to woody biomass feedstocks, the boundaries of this study were from the power plant gate to the feedstock entry point into the conversion device. Although some power plants are sited at a source of wood waste fuel, it was assumed for this study that all wood waste would be brought to the power plant site. This study was also confined to the following three feedstocks (1) forest residues, (2) industrial mill residues, and (3) urban wood residues. Additionally, the study was confined to grate, suspension, and fluidized bed direct combustion systems; gasification systems; and SMB conversion systems. Since scale can play an important role in types of equipment, operational requirements, and capital and operational costs, this study examined these factors for the following direct combustion and gasification system size ranges: 50, 20, 5, and 1 MWe. The scope of the study also included: Specific operational issues associated with specific feedstocks (e.g., bark and problems with bridging); Opportunities for reducing handling, storage, and processing costs; How environmental restrictions can affect handling and processing costs (e.g., noise, commingling of treated wood or non-wood materials, emissions, and runoff); and Feedstock quality issues and/or requirements (e.g., moisture, particle size, presence of non-wood materials). The study found that over the years the industry has shown a good deal of ingenuity and, as a result, has developed several cost effective methods of processing and handling wood. SMB systems usually cannot afford to perform much onsite processing and therefore usually purchase fuels processed to specification. Owners of larger systems try to minimize onsite processing to minimize processing costs. Whole truck dumpers are expensive, but allow for faster and easier unloading, which reduces labor costs and charges by the haulers. Storage costs are a major factor in overall costs, thus the amount of fuel reserve is an important consideration. Silos and bins are relatively expensive compared to open piles used for larger facilities, but may be required depending on space available, wood characteristics, and amount of wood to be stored. For larger systems, a front-end loader has a lot of flexibility in use and is an essential piece of equipment for moving material. Few opportunities appear to exist for improving the cost effectiveness of these systems.

Badger, P.C.

2002-11-20T23:59:59.000Z

397

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

SciTech Connect

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

Marshall, William BJ J [ORNL; Rearden, Bradley T [ORNL

2013-01-01T23:59:59.000Z

398

LOW COST HEAT PUMP WATER HEATER (HPWH)  

Science Conference Proceedings (OSTI)

Water heating accounts for the second largest portion of residential building energy consumption, after space conditioning. Existing HPWH products are a technical success, with demonstrated energy savings of 50% or more compared with standard electric resistance water heaters. However, current HPWHs available on the market cost an average of $1000 or more, which is too expensive for significant market penetration. What is needed is a method to reduce the first cost of HPWHs, so that the payback period will be reduced from 8 years to a period short enough for the market to accept this technology. A second problem with most existing HPWH products is the reliability issue associated with the pump and water loop needed to circulate cool water from the storage tank to the HPWH condenser. Existing integral HPWHs have the condenser wrapped around the water tank and thus avoid the pump and circulation issues but require a relatively complex and expensive manufacturing process. A more straightforward potentially less costly approach to the integral, single package HPWH design is to insert the condenser directly into the storage tank, or immersed direct heat exchanger (IDX). Initial development of an IDX HPWH met technical performance goals, achieving measured efficiencies or energy factors (EF) in excess of 1.79. In comparison conventional electric water heaters (EWH) have EFs of about 0.9. However, the initial approach required a 2.5" hole on top of the tank for insertion of the condenser - much larger than the standard openings typically provided. Interactions with water heater manufacturers indicated that the non standard hole size would likely lead to increased manufacturing costs (at least initially) and largely eliminate any cost advantage of the IDX approach. Recently we have been evaluating an approach to allow use of a standard tank hole size for insertion of the IDX condenser. Laboratory tests of a prototype have yielded an EF of 2.02.

Mei, Vince C [ORNL; Baxter, Van D [ORNL

2006-01-01T23:59:59.000Z

399

The cost of wetland creation and restoration. Final report  

SciTech Connect

This report examines the economics of wetland creation, restoration, and enhancement projects, especially as they are used within the context of mitigation for unavoidable wetland losses. Complete engineering-cost-accounting profiles of over 90 wetland projects were developed in collaboration with leading wetland restoration and creation practitioners around the country to develop a primary source database. Data on the costs of over 1,000 wetland projects were gathered from published sources and other available databases to develop a secondary source database. Cases in both databases were carefully analyzed and a set of baseline cost per acre estimates were developed for wetland creation, restoration, and enhancement. Observations of costs varied widely, ranging from $5 per acre to $1.5 million per acre. Differences in cost were related to the target wetland type, and to site-specific and project-specific factors that affected the preconstruction, construction, and post-construction tasks necessary to carry out each particular project. Project-specific and site-specific factors had a much larger effect on project costs than wetland type for non-agricultural projects. Costs of wetland creation and restoration were also shown to differ by region, but not by as much as expected, and in response to the regulatory context. The costs of wetland creation, restoration, and enhancement were also analyzed in a broader economic context through examination of the market for wetland mitigation services, and through the development of a framework for estimating compensation ratios-the number of acres of created, restored, or enhanced wetland required to compensate for an acre of lost natural wetland. The combination of per acre creation, restoration, and enhancement costs and the compensation ratio determine the overall mitigation costs associated with alternative mitigation strategies.

King, D.; Bohlen, C.

1995-08-01T23:59:59.000Z

400

The role of R and D in geothermal drilling cost reduction  

DOE Green Energy (OSTI)

The role that drilling technology development can play in reducing the cost of geothermal power is examined. Factors contributing to the relatively high cost of geothermal drilling are discussed, and potential technology improvements that could reduce those costs are identified. Projects under way at Sandia National Laboratories to address these technology needs are summarized, and estimates are made of the potential drilling cost savings resulting from these projects.

Glowka, D.A. [Sandia National Lab., Albuquerque, NM (United States). Geothermal Research Dept.

1997-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Postmortem Cost and Schedule Analysis - Lessons Learned On NCSX  

Science Conference Proceedings (OSTI)

The National Compact Stellarator Experiment (NCSX) was designed to test physics principles of an innovative fusion energy confinement device developed by the Princeton Plasma Physics Laboratory (PPPL) and Oak Ridge National Laboratory (ORNL) under contract from the US Department of Energy. The project was technically very challenging, primarily due to the complex component geometries and tight tolerances that were required. As the project matured these challenges manifested themselves in significant cost overruns through all phases of the project (i.e. design, R&D, fabrication and assembly). The project was subsequently cancelled by the DOE in 2008. Although the project was not completed, several major work packages, comprising about 65% of the total estimated cost (excluding management and contingency), were completed, providing a data base of actual costs that can be analyzed to understand cost drivers. Technical factors that drove costs included the complex geometry, tight tolerances, material requirements, and performance requirements. Management factors included imposed annual funding constraints that throttled project cash flow, staff availability, and inadequate R&D. Understanding how requirements and design decisions drove cost through this top-down forensic cost analysis could provide valuable insight into the configuration and design of future state-of-the art machines and other devices.

R. Strykowsky, T. Brown, J. Chrzanowski, M. Cole, P. Heitzenroeder, G.H. Neilson, Donald Rej, and M. Viola

2012-03-08T23:59:59.000Z

402

Energy Cost Calculator for Commercial Heat Pumps (5.4 >=< 20 Tons) |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Heat Pumps (5.4 >=< 20 Tons) Heat Pumps (5.4 >=< 20 Tons) Energy Cost Calculator for Commercial Heat Pumps (5.4 >=< 20 Tons) October 8, 2013 - 2:22pm Addthis Vary equipment size, energy cost, hours of operation, and /or efficiency level. INPUT SECTION Input the following data (if any parameter is missing, calculator will set to default value). Defaults Project Type New Installation Replacement New Installation Condenser Type Air Source Water Source Air Source Existing Capacity * ton - Existing Cooling Efficiency * EER - Existing Heating Efficiency * COP - Existing IPLV Efficiency * IPLV - New Capacity ton 10 tons New Cooling Efficiency EER 10.1 EER New Heating Efficiency COP 3.2 COP New IPLV Efficiency IPLV 10.4 IPLV Energy Cost $ per kWh $0.06 per kWh

403

Energy Efficiency Improvement and Cost Saving Opportunities for the Pharmaceutical Industry. An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network (OSTI)

load factor, running time, local energy costs, and availableto significant energy cost savings over time (U.S. EPA/DOEcosts and to increase predictable earnings, especially in times of high energy

Galitsky, Christina

2008-01-01T23:59:59.000Z

404

Cost prediction for ray shooting  

Science Conference Proceedings (OSTI)

The ray shooting problem arises in many different contexts. For example, solving it efficiently would remove a bottleneck when images are ray-traced in computer graphics. Unfortunately, theoretical solutions to the problem are not very practical, ... Keywords: average performance, cost model, cost prediction, octree, ray shooting, space decomposition

Boris Aronov; Herv Brnnimann; Allen Y. Chang; Yi-Jen Chiang

2002-06-01T23:59:59.000Z

405

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' 8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks August 22, 2011 - 3:54pm Addthis PROBLEM: A vulnerability was reported in Adobe ColdFusion. A remote user can conduct cross-site scripting attacks. PLATFORM: Adobe ColdFusion 9.x ABSTRACT: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks. reference LINKS: Adobe Vulnerability Report Adobe Security Bulletin ColdFusion Support SecurityTracker Alert ID: 1025957 IMPACT ASSESSMENT: Medium Discussion: The 'probe.cfm' script does not properly filter HTML code from user-supplied input in the 'name' parameter before displaying the input. A remote user can create a specially crafted URL that, when loaded by a

406

T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: Skype Input Validation Flaw in 'mobile phone' Profile Entry 0: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks July 18, 2011 - 7:09am Addthis PROBLEM: A vulnerability was reported in Skype. A remote user can conduct cross-site scripting attacks. PLATFORM: 5.3.0.120 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input. reference LINKS: SecurityTracker Alert ID: 1025789 Skype Security Advisory KoreSecure News H Security ID: 1279864 IMPACT ASSESSMENT: High Discussion: Skype suffers from a persistent Cross-Site Scripting vulnerability due to a lack of input validation and output sanitization of the "mobile phone"

407

U-132: Apache Wicket Input Validation Flaw in 'wicket:pageMapName'  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' 2: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks U-132: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks March 23, 2012 - 7:42am Addthis PROBLEM: Apache Wicket Input Validation Flaw in 'wicket:pageMapName' Parameter Permits Cross-Site Scripting Attacks PLATFORM: Apache Wicket 1.4.x ABSTRACT: A remote user can conduct cross-site scripting attacks. reference LINKS: Apache Wicket CVE-2012-0047 SecurityTracker Alert ID: 1026839 IMPACT ASSESSMENT: High Discussion: The software does not properly filter HTML code from user-supplied input in the 'wicket:pageMapName' request parameter before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target

408

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4: Splunk Web Input Validation Flaw Permits Cross-Site 4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis PROBLEM: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 4.3.0 through 4.3.5 ABSTRACT: A vulnerability was reported in Splunk Web. REFERENCE LINKS: SecurityTracker Alert ID: 1028371 Splunk IMPACT ASSESSMENT: High DISCUSSION: Splunk Web does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. The code will originate from the site running the Splunk Web software and will run in the security context of that site. As a result, the code will be able to access the

409

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Barracuda Web Filter Input Validation Flaws Permit 2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September 6, 2012 - 6:00am Addthis PROBLEM: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks PLATFORM: Barracuda Web Filter 5.0.015 is vulnerable; other versions may also be affected. ABSTRACT: Barracuda Web Filter Authentication Module Multiple HTML Injection Vulnerabilities reference LINKS: Barracuda Networks Barracuda Networks Security ID: BNSEC-279/BNYF-5533 SecurityTracker Alert ID: 1027500 Bugtraq ID: 55394 seclists.org IMPACT ASSESSMENT: Medium Discussion: Two scripts not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to

410

T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

70: Skype Input Validation Flaw in 'mobile phone' Profile Entry 70: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks July 18, 2011 - 7:09am Addthis PROBLEM: A vulnerability was reported in Skype. A remote user can conduct cross-site scripting attacks. PLATFORM: 5.3.0.120 and prior versions ABSTRACT: The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input. reference LINKS: SecurityTracker Alert ID: 1025789 Skype Security Advisory KoreSecure News H Security ID: 1279864 IMPACT ASSESSMENT: High Discussion: Skype suffers from a persistent Cross-Site Scripting vulnerability due to a lack of input validation and output sanitization of the "mobile phone"

411

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: Adobe Flex SDK Input Validation Flaw Permits Cross-Site 0: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks December 2, 2011 - 5:24am Addthis PROBLEM: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks. PLATFORM: Adobe Flex SDK 4.5.1 and earlier 4.x versions for Windows, Macintosh and Linux Adobe Flex SDK 3.6 and earlier 3.x versions for Windows, Macintosh and Linux ABSTRACT: Flex applications created using the Flex SDK may not properly filter HTML code from user-supplied input before displaying the input. reference LINKS: Adobe Security Bulletin CVE-2011-2461 SecurityTracker Alert ID: 1026361 IMPACT ASSESSMENT: High Discussion: A remote user may be able to cause arbitrary scripting code to be executed

412

T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' 8: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks T-698: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks August 22, 2011 - 3:54pm Addthis PROBLEM: A vulnerability was reported in Adobe ColdFusion. A remote user can conduct cross-site scripting attacks. PLATFORM: Adobe ColdFusion 9.x ABSTRACT: Adobe ColdFusion Input Validation Flaw in 'probe.cfm' Permits Cross-Site Scripting Attacks. reference LINKS: Adobe Vulnerability Report Adobe Security Bulletin ColdFusion Support SecurityTracker Alert ID: 1025957 IMPACT ASSESSMENT: Medium Discussion: The 'probe.cfm' script does not properly filter HTML code from user-supplied input in the 'name' parameter before displaying the input. A remote user can create a specially crafted URL that, when loaded by a

413

Audit Costs for the 1986 Texas Energy Cost Containment Program  

E-Print Network (OSTI)

Direct program costs for detailed audits of 13.5 million square feet of institutional building space in the 1986 Texas Energy Cost Containment Program were $0.047/SF. The building area was 63 percent simple (offices, schools, and universities) and 37 percent complex (medical buildings and power plants). Allowing for the influence of one large facility which received less-extensive treatment due to previous work, thorough audits were obtained for an average cost of $0.050/SF. Large medical buildings (greater than about 170,000 square feet) were audited for $0.050/SF or less, and program costs for survey audits of 17.2 million square feet were $0.0028/SF. The effect on audit costs of complexity of recommended modifications, amount of savings determined, amount of implementation costs, building size, and building complexity are discussed. Primary effects on audit costs are size and complexity of buildings. Program guidelines limited consideration of projects with greater than a four year payback.

Heffington, W. M.; Lum, S. K.; Bauer, V. A.; Turner, W. D.

1987-01-01T23:59:59.000Z

414

Hybrid energy system cost analysis: San Nicolas Island, California  

DOE Green Energy (OSTI)

This report analyzes the local wind resource and evaluates the costs and benefits of supplementing the current diesel-powered energy system on San Nicolas Island, California (SNI), with wind turbines. In Section 2.0 the SNI site, naval operations, and current energy system are described, as are the data collection and analysis procedures. Section 3.0 summarizes the wind resource data and analyses that were presented in NREL/TP 442-20231. Sections 4.0 and 5.0 present the conceptual design and cost analysis of a hybrid wind and diesel energy system on SNI, with conclusions following in Section 6. Appendix A presents summary pages of the hybrid system spreadsheet model, and Appendix B contains input and output files for the HYBRID2 program.

Olsen, T.L.; McKenna, E.

1996-07-01T23:59:59.000Z

415

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

Science Conference Proceedings (OSTI)

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

Cook, J.R.

1997-09-01T23:59:59.000Z

416

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

SciTech Connect

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

Chandler, L.R. Jr.

2000-01-05T23:59:59.000Z

417

Table A4. Total Inputs of Energy for Heat, Power, and Electricity...  

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

"Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, and Selected Industries, 1994: Part 2" "...

418

Table A36. Total Inputs of Energy for Heat, Power, and Electricity  

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

"Table A36. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Fuel Type, Industry Group, Selected Industries, and End Use, 1991:" " Part 2" " (Estimates in...

419

Table A10. Total Inputs of Energy for Heat, Power, and Electricity...  

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

"Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in...

420

Use of probabilistic inversion to model qualitative expert input when selecting a new nuclear reactor technology.  

E-Print Network (OSTI)

?? Complex investment decisions by corporate executives often require the comparison of dissimilar attributes and competing technologies. A technique to evaluate qualitative input from experts (more)

Merritt, Charles R., Jr.

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

DOE Seeks Public Input on an Integrated, Interagency Pre-Application...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

on an Integrated, Interagency Pre-Application Process for Transmission Authorizations August 29, 2013 - 9:09am Addthis A Request for Information (RFI) seeking public input for...

422

Table A12. Total Inputs of Energy for Heat, Power, and Electricity...  

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

2. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region and Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical...

423

Calibration of a distributed flood forecasting model with input uncertainty using a Bayesian framework  

E-Print Network (OSTI)

Calibrated probabilistic forecasting using ensemble modelSutcliffe (1970), River flow forecasting through conceptuala Distributed Flood Forecasting Model with Input Uncertainty

Li, M.

2013-01-01T23:59:59.000Z

424

Fossil energy use in conventional and low-external-input cropping systems.  

E-Print Network (OSTI)

??The production of fossil fuels will crest within the next decade and with reliance of modern conventional agriculture on fossil fuel energy inputs, food production (more)

Cruse, Michael James

2009-01-01T23:59:59.000Z

425

A Proposed Cost-Benefit Analysis Approach for Evaluating DOE Nuclear  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A Proposed Cost-Benefit Analysis Approach for Evaluating DOE A Proposed Cost-Benefit Analysis Approach for Evaluating DOE Nuclear Facility Design Options A Proposed Cost-Benefit Analysis Approach for Evaluating DOE Nuclear Facility Design Options A Proposed Cost-Benefit Analysis Approach for Evaluating DOE Nuclear Facility Design Options September 19, 2012 Presenter: Dr. Kamiar Jamali, Senior Technical Advisor to the Chief of Defense Nuclear Safety, National Nuclear Security Administration, Office of Nuclear Safety NA-SH Topics Covered: The National Nuclear Security Administration (NNSA) has begun an initiative to develop a methodology to perform cost-benefit analysis for some Department of Energy (DOE) nuclear facility applications as one potential input into nuclear safety decision-making processes. The scope, approach, precedence, and example of how it might be

426

Cost effectiveness of park-and-ride lots in the Puget Sound region area. Final report  

SciTech Connect

A cost-effectiveness evaluation and a cost-benefit analysis was performed on a park-and-ride system consisting of 26 park-and-ride lots in the Seattle metropolitan area. Costs and benefits of the system were examined with respect to the user, the community at large, and the public agencies responsible for providing for the community's transportation needs. Using survey and other data as input, a model was developed to calculate the total incurred trip costs of both the park-and-ride trip and the corresponding trip not involving the park-and-ride lot. General results indicated that the park-and-ride system in the Seattle area is cost effective.

Rutherford, G.S.; Wellander, C.A.

1986-10-01T23:59:59.000Z

427

Energy Cost Calculator for Electric and Gas Water Heaters | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Electric and Gas Water Heaters Electric and Gas Water Heaters Energy Cost Calculator for Electric and Gas Water Heaters October 8, 2013 - 2:26pm Addthis Vary equipment size, energy cost, hours of operation, and /or efficiency level. INPUT SECTION Input the following data (if any parameter is missing, calculator will set to default value). Defaults Type of Water Heater Electric Gas Electric Average Daily Usage (gallons per day)* gallons 64* Energy Factor† 0.92 (electric) 0.61 (gas) Energy Cost $ / kWh $0.06 per kWh $.60 per therm Quantity of Water Heaters to be Purchased unit(s) 1 unit * See assumptions for various daily water use totals. † The comparison assumes a storage tank water heater as the input type. To allow demand water heaters as the comparison type, users can specify an input EF of up to 0.85; however, 0.66 is currently the best available EF for storage water heaters.

428

THE EFFECT OF INCREASING TRANSPORTATION COST ON FOREIGN DIRECT INVESTMENT.  

E-Print Network (OSTI)

This study showed that certain influences in the global environment may have an impact on FDIs regional or country choice of investment. The following research questions were explored. Are changes in FDI location choices due to elevated transportation costs? Has the emphasis on market changed to a stauncher stance toward efficiency factors due to current oil pricing? The data was tested by applying multiple linear regressions using archival data from Dun and Bradstreet, the World Bank, and the Bureau of Economic Analysis (BEA). This study looked at data in snapshots of two years of a decade beginning with 1997 and ending with 2007. A broader dataset which has already been developed will be expanded to include the dramatic changes in oil prices pre Y2K and post Y2K. It was hypothesized that results will reflect that the cost of transportation will drive investment closer, rather than further, from the origin of investment. Due to the nature of FDI immobility, it is further hypothesized that emphasis will be placed on efficiency factors rather than market because of concern about transportation costs. The purpose will be to explore the features that affect the location of the foreign direct investment, and to address the differences in emphasis, if any, by decision-makers upon locations chosen because of the present transport costs. The findings of the tests were theoretically along the same lines as the hypothesis predicted. In 1997 market factors were dominant instead of efficiency factors. This was seen through the significance of GDP growth and the amount of roads paved. In 2007 exchange rates and distance showed significance, moving factors to a stauncher stance toward efficiency. A pooled regression showed the results of the effect of transportation cost over all. When looking at the variances at the 0.1 p level a rise in the level of FDI investment was found, concluding that the hypothesis and transportation cost results were counter intuitive.

Gressler, Kimberly

2009-06-09T23:59:59.000Z

429

An analysis of the costs of running a station car fleet  

SciTech Connect

Station cars are electric vehicles available at transit stations which may be used for transportation between the transit station and home, work, and/or for errands. This transportation service would be provided by the local transit agency. This report discusses an economic model of the costs of running a station car fleet. While some of these costs are highly uncertain, this analysis is a first look at the required user fees for full cost recovery. The model considers the capital costs of the vehicles and the required infrastructure; the annual fixed vehicle costs for insurance, registration, etc.; the mileage-based costs; and the annual non-vehicle costs for administration, infrastructure maintenance, etc. The model also includes various factors such as the fleet size, the annual mileage, the number of transit stations that would have facilities for station cars, and the number of users. The model specifically examines the cost of using of electric vehicles; however, for comparison, the cost of using a fleet of gasoline-powered vehicles also is calculated. This report examines the sensitivity of the model to the various factors. A principal conclusion from the analysis is that the largest cost contributor is the initial vehicle purchase price. For a given initial purchase price, the factor driving the user fee required for full cost recovery is the number of different daily users of a vehicle. The model also compares the annual cost of transportation using station cars and mass transit to the annual cost of solo commuting. If a station car is used by more than one person a day, and this use replaces the ownership of a conventional vehicle, the annual cost of transportation may be similar. However, for the base case assumptions, the station car user fee required for full cost recovery is higher than the cost of solo commuting.

Zurn, R.M.

1995-02-01T23:59:59.000Z

430

Affordable housing: Reducing the energy cost burden  

SciTech Connect

Residential energy expenditures are a key determinant of housing affordability, particularly for lower Income households. For years, federal, state and local governments and agencies have sought to defray energy expenses and Increase residential energy efficiency for low Income households through legislative and regulatory actions and programs. Nevertheless, household energy costs continue to place a major burden on lower Income families. This issue paper was written to help formulate national energy policy by providing the United States Department of Energy`s (DOE`s) Office of Energy Efficiency and Renewable Energy (EE) with Information to help define the affordable housing issue; Identify major drivers, key factors, and primary stakeholders shaping the affordable housing issue; and review how responding to this Issue may impact EE`s goals and objectives and Influence the strategic direction of the office. Typically, housing affordability is an Issue associated with lower income households. This issue paper adopts this perspective, but it is important to note that reducing energy utility costs can make {open_quotes}better{close_quote} housing affordable to any household regardless of income. As energy efficiency is improved throughout all sectors of the economy, special consideration must be given to low income households. Of all households, low income households are burdened the most by residential energy costs; their residences often are the least energy-efficient and have the greatest potential for efficiency improvements, but the occupants have the fewest resources to dedicate to conservation measures. This paper begins with a definition of {open_quotes}affordability{close_quotes} as it pertains to total housing costs and summarizes several key statistics related to housing affordability and energy use by lower income households.

Lee, A.D.; Chin, R.I.; Marden, C.L.

1995-01-01T23:59:59.000Z

431

Preemptive scheduling with position costs  

E-Print Network (OSTI)

imization of the sum of the position costs of all the jobs, which will be denoted by. ??fi in the ?-field of the ..... http://www-poleia.lip6.fr/~sourd/project/position. 5...

432

Engineering Cost Analysis - Chapter 17  

NLE Websites -- All DOE Office Websites (Extended Search)

of these is that costs over the life of the project must be estimated based on some forecast, and forecasts have proven to be highly variable and frequently inaccurate. The...

433

Cost | OpenEI Community  

Open Energy Info (EERE)

Cost Cost Home Ocop's picture Submitted by Ocop(5) Member 18 April, 2013 - 13:41 MHK LCOE Reporting Guidance Draft Cost Current DOE LCOE numerical modeling Performance Tidal Wave To normalize competing claims of LCOE, DOE has developed-for its own use-a standardized cost and performance data reporting process to facilitate uniform calculation of LCOE from MHK device developers. This standardization framework is only the first version in what is anticipated to be an iterative process that involves industry and the broader DOE stakeholder community. Multiple files are attached here for review and comment.Upload Files: application/vnd.openxmlformats-officedocument.wordprocessingml.document icon device_performance_validation_data_request.docx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon

434

Cost Effective Water Heating Solutions  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ELECTRIC 0.92 ELECTRIC 0.92 ELECTRIC HPWH(2) HPWH(3) HPWH Standard 0.62 EF WH unless high natural gas costs (>1.50therm), in which case recommendations consistent with new...

435

Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought  

Science Conference Proceedings (OSTI)

Crop growth models are increasingly used as part of research into areas such as climate change and bioenergy, so it is particularly important to understand the effects of environmental inputs on model results. Rather than investigating the effects of ... Keywords: Crop growth model, Drought, Input data, Parameterisation, Sensitivity analysis, Soil water

Mark Pogson; Astley Hastings; Pete Smith

2012-03-01T23:59:59.000Z

436

Technical communication: Extending the analog input capabilities of the DS1102 DSP controller board  

Science Conference Proceedings (OSTI)

The paper deals with an extention of the number of analog inputs of the DS1102 controller board which is commonly used in the area of electric machines. Manufactured with just four analog inputs, the DS1102 has been found inadequate for the implementation ... Keywords: Analog multiplexing, Analog to digital converters, Digital signal processor, Doubly-fed machine, Field oriented control

Badreddine Louhichi; Ahmed Masmoudi; Luc Loron

2005-01-01T23:59:59.000Z

437

Simulation for Performance Analysis of Grid-Connected Induction Generators with Input Voltage Control  

Science Conference Proceedings (OSTI)

With the increasing application of wind energy, various technologies are developed for analyzing the performance of grid-connected induction generator (GIG) based wind energy conversion systems (WECSs). Input voltage control is one among them. In the ... Keywords: grid-connected induction generators (GIGs), wind energy conversion systems (WECSs), input voltage control, performance analysis, MATLAB

Farhad Ilahi Bakhsh, Shirazul Islam, Sayeed Ahmad

2013-04-01T23:59:59.000Z

438

Call for White Papers: Soliciting Community Input for Alternate Science Investigations for the Kepler Spacecraft  

E-Print Network (OSTI)

Call for White Papers: Soliciting Community Input for Alternate Science Investigations of this call for white papers is to solicit community input for alternate science investigations that may project office personnel and expertise already in place. All white papers submitted in response

Rodriguez, Carlos

439

Production Cost Optimization Project 2010  

Science Conference Proceedings (OSTI)

The EPRI Production Cost Optimization project assists participating members in implementing or enhancing heat rate optimization programs to reduce production costs through sustainable performance improvements. This Technical Update summarizes the status of the project and presents results for five (5) sites that have completed initial and follow-up assessments. A PCO assessment consists of benchmarking plant thermal performance using historical plant data along with an on-site performance appraisal to id...

2010-12-22T23:59:59.000Z

440

Energy Efficiency Improvement and Cost Saving Opportunities for the Glass Industry. An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network (OSTI)

load factor, running time, local energy costs, and availablecosts, reduced processing time, and increased resource and energycosts and to increase predictable earnings, especially in times of high energy

Worrell, Ernst

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

U-255: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5: Apache Wicket Input Validation Flaw Permits Cross-Site 5: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting Attacks U-255: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting Attacks September 11, 2012 - 6:00am Addthis PROBLEM: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting Attacks PLATFORM: Apache Software Foundation Apache Wicket 1.5.5 Apache Software Foundation Apache Wicket 1.5-RC5.1 Apache Software Foundation Apache Wicket 1.4.20 Apache Software Foundation Apache Wicket 1.4.18 Apache Software Foundation Apache Wicket 1.4.17 Apache Software Foundation Apache Wicket 1.4.16 ABSTRACT: A vulnerability was reported in Apache Wicket reference LINKS: Apache Wicket SecurityTracker Alert ID: 1027508 Bugtraq ID: 55445 CVE-2012-3373 IMPACT ASSESSMENT: Medium Discussion: The software does not properly filter HTML code from user-supplied input in

442

U-139: IBM Tivoli Directory Server Input Validation Flaw | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

39: IBM Tivoli Directory Server Input Validation Flaw 39: IBM Tivoli Directory Server Input Validation Flaw U-139: IBM Tivoli Directory Server Input Validation Flaw April 3, 2012 - 7:00am Addthis PROBLEM: A vulnerability was reported in IBM Tivoli Directory Server. A remote user can conduct cross-site scripting attacks PLATFORM: Version(s): 6.2, 6.3 ABSTRACT: The Web Admin Tool does not properly filter HTML code from user-supplied input before displaying the input. Reference LINKS: Vendor Advisory Security Tracker ID 1026880 CVE-2012-0740 IMPACT ASSESSMENT: Medium Discussion: A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will originate from the site running the IBM Tivoli Directory Server software and will run in the security context

443

V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks August 28, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in IBM Lotus iNotes PLATFORM: IBM Lotus iNotes 8.5.x ABSTRACT: IBM Lotus iNotes 8.5.x contains four cross-site scripting vulnerabilities REFERENCE LINKS: Security Tracker Alert ID 1028954 IBM Security Bulletin 1647740 Seclist.org CVE-2013-0590 CVE-2013-0591 CVE-2013-0595 IMPACT ASSESSMENT: Medium DISCUSSION: The software does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. The code will originate

444

U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

204: HP Network Node Manager i Input Validation Hole Permits 204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks July 3, 2012 - 7:00am Addthis PROBLEM: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 8.x, 9.0x, 9.1x ABSTRACT: Potential security vulnerabilities have been identified with HP Network Node Manager I (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS). reference LINKS: The Vendor's Advisory SecurityTracker Alert ID: 1027215 CVE-2012-2018 IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in HP Network Node Manager i. The software does not properly filter HTML code from user-supplied input before

445

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Seeking Input on Alternative Uses of Nickel Inventory Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory March 9, 2007 - 10:28am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) is seeking input from industry representatives on the safe disposition of approximately 15,300 tons of nickel scrap recovered from uranium enrichment process equipment at the Department's Oak Ridge, TN, and Paducah, KY, facilities. The Expression of Interest (EOI), released today, will assist in DOE's evaluation of restricted uses of its nickel material for controlled radiological applications. These restricted uses could include use in commercial nuclear power plants, DOE nuclear facilities, or by the U.S. Navy. The Department will solicit input through May 8, 2007.

446

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory March 9, 2007 - 10:28am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) is seeking input from industry representatives on the safe disposition of approximately 15,300 tons of nickel scrap recovered from uranium enrichment process equipment at the Department's Oak Ridge, TN, and Paducah, KY, facilities. The Expression of Interest (EOI), released today, will assist in DOE's evaluation of restricted uses of its nickel material for controlled radiological applications. These restricted uses could include use in commercial nuclear power plants, DOE nuclear facilities, or by the U.S. Navy. The Department will solicit input through May 8, 2007.

447

U-102: Cisco IronPort Encryption Appliance Input Validation Flaw Permits  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Cisco IronPort Encryption Appliance Input Validation Flaw 2: Cisco IronPort Encryption Appliance Input Validation Flaw Permits Cross-Site Scripting Attacks U-102: Cisco IronPort Encryption Appliance Input Validation Flaw Permits Cross-Site Scripting Attacks February 14, 2012 - 8:00am Addthis PROBLEM: A vulnerability was reported in Cisco IronPort Encryption Appliance. PLATFORM: Version(s): prior to 6.5.3 ABSTRACT: A remote user can conduct cross-site scripting reference LINKS: Vendor URL CVE-2012-0340 Security Tracker ID:1026669 IMPACT ASSESSMENT: Medium Discussion: The interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will originate from

448

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: Splunk Web Input Validation Flaw Permits Cross-Site 8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in Splunk Web PLATFORM: Version(s) prior to 5.0.3 ABSTRACT: A reflected cross-site scripting vulnerability was identified in Splunk Web REFERENCE LINKS: SecurityTracker Alert ID: 1028605 Splunk Security Advisory SPL-59895 CVE-2012-6447 IMPACT ASSESSMENT: Medium DISCUSSION: The web interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will

449

U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4: HP Network Node Manager i Input Validation Hole Permits 4: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks July 3, 2012 - 7:00am Addthis PROBLEM: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks PLATFORM: Version(s): 8.x, 9.0x, 9.1x ABSTRACT: Potential security vulnerabilities have been identified with HP Network Node Manager I (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS). reference LINKS: The Vendor's Advisory SecurityTracker Alert ID: 1027215 CVE-2012-2018 IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in HP Network Node Manager i. The software does not properly filter HTML code from user-supplied input before

450

Oak Ridge's EM Program Seeks Public Input on Cleanup | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Seeks Public Input on Cleanup Seeks Public Input on Cleanup Oak Ridge's EM Program Seeks Public Input on Cleanup April 25, 2013 - 12:00pm Addthis Oak Ridge’s EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Oak Ridge's EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Oak Ridge EM Manager Mark Whitney addresses participants on EM’s mission and priorities.

451

V-139: Cisco Network Admission Control Input Validation Flaw Lets Remote  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

9: Cisco Network Admission Control Input Validation Flaw Lets 9: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands V-139: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands April 21, 2013 - 11:50pm Addthis PROBLEM: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands PLATFORM: Cisco NAC Manager versions prior to 4.8.3.1 and 4.9.2 ABSTRACT: A vulnerability was reported in Cisco Network Admission Control. REFERENCE LINKS: SecurityTracker Alert ID: 1028451 Cisco Advisory ID: cisco-sa-20130417-nac CVE-2013-1177 IMPACT ASSESSMENT: High DISCUSSION: The Cisco Network Admission Control (NAC) Manager does not properly validate user-supplied input. A remote user can supply a specially crafted parameter value to execute SQL commands on the underlying database.

452

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4:Juniper Secure Access Input Validation Flaw Permits 4:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks April 10, 2012 - 7:30am Addthis PROBLEM: A vulnerability was reported in Juniper Secure Access/Instant Virtual Extranet (IVE). A remote user can conduct cross-site scripting attacks. PLATFORM: Version(s): prior to 7.0R9 and 7.1R ABSTRACT: The VPN management interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. reference LINKS: Vendor URL SecurityTracker Alert ID: 1026893 IMPACT ASSESSMENT: High Discussion: The code will originate from the interface and will run in the security

453

How are basement walls input in REScheck? | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

basement walls input in REScheck? basement walls input in REScheck? After selecting a basement wall type, a basement wall illustration will appear with input boxes for the basement wall height, depth below grade, and depth of insulation. The illustration helps identify the dimensions being requested. You may enter basement wall dimensions directly into this illustration and select the OK button to have them transferred to the corresponding row in the table on the Envelope screen. If you prefer to enter the dimensions directly into the table on the Envelope screen, you can select Cancel to remove the illustration without entering dimensions. To view the basement wall illustration and inputs at a later time, click the right-mouse button anywhere on the basement row and select Edit Basement Inputs from the popup menu.

454

Oak Ridge's EM Program Seeks Public Input on Cleanup | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Oak Ridge's EM Program Seeks Public Input on Cleanup Oak Ridge's EM Program Seeks Public Input on Cleanup Oak Ridge's EM Program Seeks Public Input on Cleanup April 25, 2013 - 12:00pm Addthis Oak Ridge’s EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Oak Ridge's EM leadership informed members of the public about projects and goals and answered questions during a public workshop this week. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Local residents and other stakeholders listen to Oak Ridge's EM senior leadership in a public workshop to learn about EM and provide input about future mission work. Oak Ridge EM Manager Mark Whitney addresses participants on EM’s mission and priorities.

455

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

93: Barracuda SSL VPN Input Validation Hole Permits Cross-Site 93: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks July 5, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in Barracuda SSL VPN PLATFORM: Version(s) prior to 2.3.3.216 ABSTRACT: Several scripts do not properly filter HTML code from user-supplied input before displaying the input via several parameters REFERENCE LINKS: SecurityTracker Alert ID: 1028736 Barracuda SSL VPN Release Notes Zero Science Lab IMPACT ASSESSMENT: Medium DISCUSSION: The code will originate from the Barracuda SSL VPN interface and will run in the security context of that site. As a result, the code will be able to access the target user's cookies (including authentication cookies), if

456

V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3: Symantec Brightmail Gateway Input Validation Flaw Permits 3: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks May 10, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in Symantec Brightmail Gateway PLATFORM: The vulnerabilities are reported in versions prior to 9.5.x ABSTRACT: Symantec's Brightmail Gateway management console is susceptible to stored cross-site scripting (XSS) issues found in some of the administrative interface pages. REFERENCE LINKS: Security Tracker Alert ID: 1028530 Symantec Security Advisory CVE-2013-1611 IMPACT ASSESSMENT: Medium DISCUSSION: The administrative interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause

457

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

68: Splunk Web Input Validation Flaw Permits Cross-Site 68: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in Splunk Web PLATFORM: Version(s) prior to 5.0.3 ABSTRACT: A reflected cross-site scripting vulnerability was identified in Splunk Web REFERENCE LINKS: SecurityTracker Alert ID: 1028605 Splunk Security Advisory SPL-59895 CVE-2012-6447 IMPACT ASSESSMENT: Medium DISCUSSION: The web interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed by the target user's browser. The code will

458

V-085: Cisco Unity Express Input Validation Hole Permits Cross-Site Request  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5: Cisco Unity Express Input Validation Hole Permits Cross-Site 5: Cisco Unity Express Input Validation Hole Permits Cross-Site Request Forgery Attacks V-085: Cisco Unity Express Input Validation Hole Permits Cross-Site Request Forgery Attacks February 6, 2013 - 1:06am Addthis PROBLEM: Cisco Unity Express Input Validation Hole Permits Cross-Site Request Forgery Attacks PLATFORM: Cisco Unity Express prior to 8.0 ABSTRACT: A vulnerability was reported in Cisco Unity Express. REFERENCE LINKS: Cisco Security Notice SecurityTracker Alert ID: 1028075 CVE-2013-1120 IMPACT ASSESSMENT: Medium DISCUSSION: Cisco Unity Express software prior to version 8.0 contains vulnerabilities that could allow an unauthenticated, remote attacker to conduct cross site request forgery attacks. The vulnerabilities are due to insufficient input validation. An attacker could exploit these vulnerabilities by

459

Evaluating the costs of desalination and water transport  

E-Print Network (OSTI)

Working paper FNU-41 revised Many regions of the world are facing formidable freshwater scarcity. Although there is substantial scope for economizing on the consumption of water without affecting its service level, the main response to water scarcity has been to increase the supply. To a large extent, this is done by transporting water from places where it is abundant to places where it is scarce. At a smaller scale, and without a lot of public and political attention, people have started to tap into the sheer limitless resource of desalinated water. This study looks at the development of desalination and its costs over time. The unit costs of desalinated water for five main processes are evaluated, followed by regressions to analyze the main influencing factors to the costs. The unit costs for all processes have fallen considerably over the years. This study suggests that a cost of 1 $/m 3 for seawater desalination and 0.6 $/m 3 for brackish water would be feasible today. The costs will continue to decline in the future as technology progresses. In addition, a literature review on the costs of water transport is conducted in order to estimate the total cost of desalination and the transport of desalinated water to selected water stress cities. Transport costs range from a few cents per cubic meter to over a dollar. A 100 m vertical lift is about as costly as a 100 km horizontal transport (0.05-0.06$/m 3). Transport makes desalinated water prohibitively expensive in highlands and continental interiors, but not elsewhere.

Yuan Zhou A; Richard S. J. Tol B

2004-01-01T23:59:59.000Z

460

Evaluating the costs of desalination and water transport  

E-Print Network (OSTI)

[1] Many regions of the world are facing formidable freshwater scarcity. Although there is substantial scope for economizing on the consumption of water without affecting its service level, the main response to water scarcity has been to increase the supply. To a large extent, this is done by transporting water from places where it is abundant to places where it is scarce. At a smaller scale and without a lot of public and political attention, people have started to tap into the sheer limitless resource of desalinated water. This study looks at the development of desalination and its costs over time. The unit costs of desalinated water for five main processes are evaluated, followed by regressions to analyze the main influencing factors to the costs. The unit costs for all processes have fallen considerably over the years. This study suggests that a cost of $1/m 3 for seawater desalination and $0.6/m 3 for brackish water would be feasible today. The costs will continue to decline in the future as technology progresses. In addition, a literature review on the costs of water transport is conducted in order to estimate the total cost of desalination and the transport of desalinated water to selected water stress cities. Transport costs range from a few cents per cubic meter to over a dollar. A 100 m vertical lift is about as costly as a 100 km horizontal transport ($0.050.06/m 3). Transport makes desalinated water prohibitively expensive in highlands and continental interiors but not elsewhere.

Yuan Zhou; Richard S. J. Tol

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "factor input costs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

LHC Civil Engineering Construction Contracts Cost Monitoring and Budget Forecasting  

E-Print Network (OSTI)

The Civil Engineering project for the LHC is estimated at 350 MCHF, of which about 316 MCHF is for the construction contracts. These contracts are based on a system of remeasurement whereby the consultant estimates the quantities required for the construction of each structure and the contractor commits himself to the unit price, which define the initial tender price. There are many factors that affect the final price for these contracts, from increases or decreases in quantities of the estimated amounts in the original bill of quantities to variations to the contract. This paper will look at how these factors change costs at the individual level of a structure to the overall costs of the contract. It will look at how the Civil Engineering Group monitors these changes to calculate cash flows and final costs and how this information is used as a basis for budget forecasts.

Skelton, K

2000-01-01T23:59:59.000Z

462

NREL: Jobs and Economic Competitiveness - Solar PV Manufacturing Cost  

NLE Websites -- All DOE Office Websites (Extended Search)

Solar PV Manufacturing Cost Analysis Solar PV Manufacturing Cost Analysis Between 2000 and 2010 global shipments of PV cells/modules grew 53% (compound annual growth rate [CAGR]). At the same time, the U.S. market share has slipped from 30% to 7% (30% CAGR) while China/Taiwan has grown from <2% to 54% (115% CAGR) to become the leader in global production. NREL's manufacturing cost analysis has focused on understanding the regional competitiveness of solar PV manufacturing specifically: What factors have led to China's dramatic growth in PV? Is it sustainable? Can the US compete? NREL's manufacturing cost analysis studies show that: U.S. incentives to strengthen access to capital for investment in innovative solar technologies could offset China's current advantage U.S. incentives are dwarfed by the scale of Chinese incentives

463

Distributed Generation System Characteristics and Costs in the Buildings  

Gasoline and Diesel Fuel Update (EIA)

1.6 mb) 1.6 mb) Appendix A - Photovoltaic (PV) Cost and Performance Characteristics for Residential and Commercial Applications (1.0 mb) Appendix B - The Cost and Performance of Distributed Wind Turbines, 2010-35 (0.5 mb) Distributed Generation System Characteristics and Costs in the Buildings Sector Release date: August 7, 2013 Distributed generation in the residential and commercial buildings sectors refers to the on-site generation of energy, often electricity from renewable energy systems such as solar photovoltaics (PV) and small wind turbines. Many factors influence the market for distributed generation, including government policies at the local, state, and federal level, and project costs, which vary significantly depending on time, location, size, and application.

464

NUCLEAR ENERGY SYSTEM COST MODELING  

Science Conference Proceedings (OSTI)

The U.S. Department of Energys Fuel Cycle Technologies (FCT) Program is preparing to perform an evaluation of the full range of possible Nuclear Energy Systems (NES) in 2013. These include all practical combinations of fuels and transmuters (reactors and sub-critical systems) in single and multi-tier combinations of burners and breeders with no, partial, and full recycle. As part of this evaluation, Levelized Cost of Electricity at Equilibrium (LCAE) ranges for each representative system will be calculated. To facilitate the cost analyses, the 2009 Advanced Fuel Cycle Cost Basis Report is being amended to provide up-to-date cost data for each step in the fuel cycle, and a new analysis tool, NE-COST, has been developed. This paper explains the innovative Island approach used by NE-COST to streamline and simplify the economic analysis effort and provides examples of LCAE costs generated. The Island approach treats each transmuter (or target burner) and the associated fuel cycle facilities as a separate analysis module, allowing reuse of modules that appear frequently in the NES options list. For example, a number of options to be screened will include a once-through uranium oxide (UOX) fueled light water reactor (LWR). The UOX LWR may be standalone, or may be the first stage in a multi-stage system. Using the Island approach, the UOX LWR only needs to be modeled once and the module can then be reused on subsequent fuel cycles. NE-COST models the unit operations and life cycle costs associated with each step of the fuel cycle on each island. This includes three front-end options for supplying feedstock to fuel fabrication (mining/enrichment, reprocessing of used fuel from another island, and/or reprocessing of this islands used fuel), along with the transmuter and back-end storage/disposal. Results of each island are combined based on the fractional energy generated by each islands in an equilibrium system. The cost analyses use the probability distributions of key parameters and employs Monte Carlo sampling to arrive at an islands cost probability density function (PDF). When comparing two NES to determine delta cost, strongly correlated parameters can be cancelled out so that only the differences in the systems contribute to the relative cost PDFs. For example, one comparative analysis presented in the paper is a single stage LWR-UOX system versus a two-stage LWR-UOX to LWR-MOX system. In this case, the first stage of both systems is the same (but with different fractional energy generation), while the second stage of the UOX to MOX system uses the same type transmuter but the fuel type and feedstock sources are different. In this case, the cost difference between systems is driven by only the fuel cycle differences of the MOX stage.

Francesco Ganda; Brent Dixon

2012-09-01T23:59:59.000Z

465

Policy 1306 Cost Sharing on Sponsored Projects  

E-Print Network (OSTI)

Policy 1306 Cost Sharing on Sponsored Projects Responsible Office Office of Research Administration committed cost sharing, and in-kind/matching requirements associated with sponsored projects. Definitions Cost Sharing A portion of total sponsored project costs not funded by the sponsor. Mandatory Cost

466

Sponsored Project Account Cost Transfer Explanation  

E-Print Network (OSTI)

Sponsored Project Account Cost Transfer Explanation Check-Off List December 2011 The explanations checked below best describe the reasons for why the cost transfers are being made. Costs as to how to allocate the cost, temporarily assigned the cost to an existing account that acted

He, Chuan

467

FACILITY AND ADMINISTRATIVE (INDIRECT) COSTS September 2007  

E-Print Network (OSTI)

, 2015. Definitions: Direct Costs: Costs that can be specifically identified with a particular project(s) Cost: A broad category of costs that are common to all research projects. "Facilities" is defined one F&A cost rate. If 50% or more of a project is performed off-campus (exclusive of any subcontract

Albertini, David

468

Handbook for quick cost estimates. A method for developing quick approximate estimates of costs for generic actions for nuclear power plants  

Science Conference Proceedings (OSTI)

This document is a supplement to a ''Handbook for Cost Estimating'' (NUREG/CR-3971) and provides specific guidance for developing ''quick'' approximate estimates of the cost of implementing generic regulatory requirements for nuclear power plants. A method is presented for relating the known construction costs for new nuclear power plants (as contained in the Energy Economic Data Base) to the cost of performing similar work, on a back-fit basis, at existing plants. Cost factors are presented to account for variations in such important cost areas as construction labor productivity, engineering and quality assurance, replacement energy, reworking of existing features, and regional variations in the cost of materials and labor. Other cost categories addressed in this handbook include those for changes in plant operating personnel and plant documents, licensee costs, NRC costs, and costs for other government agencies. Data sheets, worksheets, and appropriate cost algorithms are included to guide the user through preparation of rough estimates. A sample estimate is prepared using the method and the estimating tools provided.

Ball, J.R.

1986-04-01T23:59:59.000Z

469

Fuel Cell System Cost for Transporationa--2008 Cost Estimate  

NLE Websites -- All DOE Office Websites (Extended Search)

Fuel Cell System Cost for Fuel Cell System Cost for Transportation-2008 Cost Estimate National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Independent Review Published for the U.S. Department of Energy Hydrogen Program NREL/BK-6A1-45457 May 2009 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or

470

Estimating production and cost for clamshell mechanical dredges  

E-Print Network (OSTI)

Clamshell dredges are used around the United States for both navigational and environmental dredging projects. Clamshell dredges are extremely mobile and can excavate sediment over a wide range of depths. The object of this thesis is to develop a methodology for production and cost estimation for clamshell dredge projects. There are current methods of predicting clamshell dredge production which rely on production curves and constant cycle times. This thesis calculates production estimation by predicting cycle time which is the time required to complete one dredge cycle. By varying the cycle time according to site characteristics production can be predicted. A second important component to predicting clamshell dredge production is bucket fill factor. This is the percent of the bucket that will fill with sediment depending on the type of soil being excavated. Using cycle time as the basis for production calculation a spreadsheet has been created to simplify the calculation of production and project cost. The production calculation also factors in soil type and region of the United States. The spreadsheet is capable of operating with basic site characteristics, or with details about the dredge, bucket size, and region. Once the production is calculated the project cost can be determined. First the project length is found by dividing the total amount of sediment that is to be excavated by the production rate. Once the project length is calculated the remainder of the project cost can be found. The methods discussed in this thesis were used to calculate project cost for 5 different projects. The results were then compared to estimates by the government and the actual cost of the project. The government estimates were an average of 39% higher than the actual project cost. The method discussed in this thesis was only 6% higher than the actual cost.

Adair, Robert Fletcher

2004-12-01T23:59:59.000Z

471

Replacement energy, capacity, and reliability costs for permanent nuclear reactor shutdowns  

SciTech Connect

Average replacement power costs are estimated for potential permanent shutdowns of nuclear electricity-generating units. Replacement power costs are considered to include replacement energy, capacity, and reliability cost components. These estimates were developed to assist the US Nuclear Regulatory Commission in evaluating regulatory issues that potentially affect changes in serious reactor accident frequencies. Cost estimates were derived from long-term production-cost and capacity expansion simulations of pooled utility-system operations. Factors that affect replacement power cost, such as load growth, replacement sources of generation, and capital costs for replacement capacity, were treated in the analysis. Costs are presented for a representative reactor and for selected subcategories of reactors, based on estimates for 112 individual reactors.

VanKuiken, J.C., Buehring, W.A.; Hamilton, S.; Kavicky, J.A.; Cavallo, J.D.; Veselka, T.D.; Willing, D.L. [Argonne National Lab., IL (United States)

1993-10-01T23:59:59.000Z

472

Costs of electronuclear fuel production  

SciTech Connect

The Los Alamos Scientific Laboratory (LASL) proposes to study the electronuclear fuel producer (EFP) as a means of producing fissile fuel to generate electricity. The main advantage of the EFP is that it may reduce the risks of nuclear proliferation by breeding /sup 233/U from thorium, thereby avoiding plutonium separation. A report on the costs of electronuclear fuel production based upon two designs considered by LASL is presented. The findings indicate that the EFP design variations considered are not likely to result in electricity generation costs as low as the uranium fuel cycle used in the US today. At current estimates of annual fuel output (500 kg /sup 233/U per EFP), the costs of electricity generation using fuel produced by the EFP are more than three times higher than generating costs using the traditional fuel cycle. Sensitivity analysis indicates that electronuclear fuel production would become cost competitive with the traditional uranium fuel cycle when U/sub 3/O/sub 8/ (yellowcake) prices approach $1000 per pound.

Flaim, T.; Loose, V.

1978-07-01T23:59:59.000Z

473

FY 1996 cost savings report  

SciTech Connect

Cost savings are an integral part of Hanford site operations. Congressional actions towards establishing a balanced budget have resulted in reductions to funding for all federal agencies, including the Department of Energy (DOE) Environmental Management (EM) cleanup mission. In September 1994 the DOE Richland Operations Office (RL) approved the FY 1995 multi-year baseline that included a cost estimate of $1.9 billion for FY 1996. However, Congress only appropriated $1.3 billion for that year. The shortfall of $600 million resulted in a significant challenge to accomplish the required workscope. Therefore, RL initiated an aggressive cost savings program to eliminate the shortfall by deleting workscope that was unnecessary and performing the remaining workscope more efficiently. RL initiated baseline planning actions (including deletions, deferrals, transfers, and additions) during the FY 1996 multi-year baseline development process to match workscope and anticipated funding and identified $205 million of workscope deletions. CFR (Contract Finance and Review Division) then reviewed over 200 cost baseline change requests during FY 1996 and documented an additional $95 million of FY 1996 cost savings. This included $73 million of workscope deletions and $22 million of efficiencies. Total savings as a result of FY 1996 initiatives, including baseline planning actions and current year initiatives, were $300 million.

Andrews-Smith, K.L.

1997-08-15T23:59:59.000Z

474

Hydrogen demand, production, and cost by region to 2050.  

DOE Green Energy (OSTI)

This report presents an analysis of potential hydrogen (H{sub 2}) demand, production, and cost by region to 2050. The analysis was conducted to (1) address the Energy Information Administration's (EIA's) request for regional H{sub 2} cost estimates that will be input to its energy modeling system and (2) identify key regional issues associated with the use of H{sub 2} that need further study. Hydrogen costs may vary substantially by region. Many feedstocks may be used to produce H{sub 2}, and the use of these feedstocks is likely to vary by region. For the same feedstock, regional variation exists in capital and energy costs. Furthermore, delivery costs are likely to vary by region: some regions are more rural than others, and so delivery costs will be higher. However, to date, efforts to comprehensively and consistently estimate future H{sub 2} costs have not yet assessed regional variation in these costs. To develop the regional cost estimates and identify regional issues requiring further study, we developed a H{sub 2} demand scenario (called 'Go Your Own Way' [GYOW]) that reflects fuel cell vehicle (FCV) market success to 2050 and allocated H{sub 2} demand by region and within regions by metropolitan versus non-metropolitan areas. Because we lacked regional resource supply curves to develop our H{sub 2} production estimates, we instead developed regional H{sub 2} production estimates by feedstock by (1) evaluating region-specific resource availability for centralized production of H{sub 2} and (2) estimating the amount of FCV travel in the nonmetropolitan areas of each region that might need to be served by distributed production of H{sub 2}. Using a comprehensive H{sub 2} cost analysis developed by SFA Pacific, Inc., as a starting point, we then developed cost estimates for each H{sub 2} production and delivery method by region and over time (SFA Pacific, Inc. 2002). We assumed technological improvements over time to 2050 and regional variation in energy and capital costs. Although we estimate substantial reductions in H{sub 2} costs over time, our cost estimates are generally higher than the cost goals of the U.S. Department of Energy's (DOE's) hydrogen program. The result of our analysis, in particular, demonstrates that there may be substantial variation in H{sub 2} costs between regions: as much as $2.04/gallon gasoline equivalent (GGE) by the time FCVs make up one-half of all light-vehicle sales in the GYOW scenario (2035-2040) and $1.85/GGE by 2050 (excluding Alaska). Given the assumptions we have made, our analysis also shows that there could be as much as a $4.82/GGE difference in H{sub 2} cost between metropolitan and non-metropolitan areas by 2050 (national average). Our national average cost estimate by 2050 is $3.68/GGE, but the average H{sub 2} cost in metropolitan areas in that year is $2.55/GGE and that in non-metropolitan areas is $7.37/GGE. For these estimates, we assume that the use of natural gas to produce H{sub 2} is phased out. This phase-out reflects the desire of DOE's Office of Hydrogen, Fuel Cells and Infrastructure Technologies (OHFCIT) to eliminate reliance on natural gas for H{sub 2} production. We conducted a sensitivity run in which we allowed natural gas to continue to be used through 2050 for distributed production of H{sub 2} to see what effect changing that assumption had on costs. In effect, natural gas is used for 66% of all distributed production of H{sub 2} in this run. The national average cost is reduced to $3.10/GGE, and the cost in non-metropolitan areas is reduced from $7.37/GGE to $4.90, thereby reducing the difference between metropolitan and non-metropolitan areas to $2.35/GGE. Although the cost difference is reduced, it is still substantial. Regional differences are similarly reduced, but they also remain substantial. We also conducted a sensitivity run in which we cut in half our estimate of the cost of distributed production of H{sub 2} from electrolysis (our highest-cost production method). In this run, our national average cost estimate is reduced even further, to

Singh, M.; Moore, J.; Shadis, W.; Energy Systems; TA Engineering, Inc.

2005-10-31T23:59:59.000Z

475

Hydrogen demand, production, and cost by region to 2050.  

SciTech Connect

This report presents an analysis of potential hydrogen (H{sub 2}) demand, production, and cost by region to 2050. The analysis was conducted to (1) address the Energy Information Administration's (EIA's) request for regional H{sub 2} cost estimates that will be input to its energy modeling system and (2) identify key regional issues associated with the use of H{sub 2} that need further study. Hydrogen costs may vary substantially by region. Many feedstocks may be used to produce H{sub 2}, and the use of these feedstocks is likely to vary by region. For the same feedstock, regional variation exists in capital and energy costs. Furthermore, delivery costs are likely to vary by region: some regions are more rural than others, and so delivery costs will be higher. However, to date, efforts to comprehensively and consistently estimate future H{sub 2} costs have not yet assessed regional variation in these costs. To develop the regional cost estimates and identify regional issues requiring further study, we developed a H{sub 2} demand scenario (called 'Go Your Own Way' [GYOW]) that reflects fuel cell vehicle (FCV) market success to 2050 and allocated H{sub 2} demand by region and within regions by metropolitan versus non-metropolitan areas. Because we lacked regional resource supply curves to develop our H{sub 2} production estimates, we instead developed regional H{sub 2} production estimates by feedstock by (1) evaluating region-specific resource availability for centralized production of H{sub 2} and (2) estimating the amount of FCV travel in the nonmetropolitan areas of each region that might need to be served by distributed production of H{sub 2}. Using a comprehensive H{sub 2} cost analysis developed by SFA Pacific, Inc., as a starting point, we then developed cost estimates for each H{sub 2} production and delivery method by region and over time (SFA Pacific, Inc. 2002). We assumed technological improvements over time to 2050 and regional variation in energy and capital costs. Although we estimate substantial reductions in H{sub 2} costs over time, our cost estimates are generally higher than the cost goals of the U.S. Department of Energy's (DOE's) hydrogen program. The result of our analysis, in particular, demonstrates that there may be substantial variation in H{sub 2} costs between regions: as much as $2.04/gallon gasoline equivalent (GGE) by the time FCVs make up one-half of all light-vehicle sales in the GYOW scenario (2035-2040) and $1.85/GGE by 2050 (excluding Alaska). Given the assumptions we have made, our analysis also shows that there could be as much as a $4.82/GGE difference in H{sub 2} cost between metropolitan and non-metropolitan areas by 2050 (national average). Our national average cost estimate by 2050 is $3.68/GGE, but the average H{sub 2} cost in metropolitan areas in that year is $2.55/GGE and that in non-metropolitan areas is $7.37/GGE. For these estimates, we assume that the use of natural gas to produce H{sub 2} is phased out. This phase-out reflects the desire of DOE's Office of Hydrogen, Fuel Cells and Infrastructure Technologies (OHFCIT) to eliminate reliance on natural gas for H{sub 2} production. We conducted a sensitivity run in which we allowed natural gas to continue to be used through 2050 for distributed production of H{sub 2} to see what effect changing that assumption had on costs. In effect, natural gas is used for 66% of all distributed production of H{sub 2} in this run. The national average cost is reduced to $3.10/GGE, and the cost in non-metropolitan areas is reduced from $7.37/GGE to $4.90, thereby reducing the difference between metropolitan and non-metropolitan areas to $2.35/GGE. Although the cost difference is reduced, it is still substantial. Regional differences are similarly reduced, but they also remain substantial. We also conducted a sensitivity run in which we cut in half our estimate of the cost of distributed production of H{sub 2} from electrolysis (our highest-cost production method). In this run, our national average cost es

Singh, M.; Moore, J.; Shadis, W.; Energy Systems; TA Engineering, Inc.

2005-10-31T23:59:59.000Z