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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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1

GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process  

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

GAO Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process Step Description Associated task 1 Define estimate's purpose Determine estimate's purpose, required level of detail, and overall scope; Determine who will receive the estimate 2 Develop estimating plan Determine the cost estimating team and develop its master schedule; Determine who will do the independent cost estimate; Outline the cost estimating approach; Develop the estimate timeline 3 Define program characteristics In a technical baseline description document, identify the program's

2

Reclamation cost inputs for the resource allocation and mine costing model. Final working paper  

SciTech Connect (OSTI)

The purpose of this study is to improve estimates of surface mining reclamation cost components used as inputs to the Energy Information Administration's Resource Allocation and Mine Costing (RAMC) model. Costs ignored by the RAMC equations and input separately into the model on a regional basis were the focus of this study. Estimates of costs associated with the following reclamation activities were developed: valley fill construction, topsoil handling, runoff and diversion ditch construction and backfilling, sediment pond construction and backfilling, final pit backfilling and highwall reduction, revegetation, and permitting. For each activity, separate estimates were developed by cost component (initial capital, deferred capital, and annual operating), region (central Appalachia, northern Appalachia, the Midwest, and the West), and overburden ratio. For the first five activities, a ''composite mine'' approach was used. Basic engineering data on the quantity of material moved, and the distance over which it is moved, were obtained on a task-by-task basis for regional samples of actual mining operations. Mine permit applications filed with state and federal regulatory agencies were used as the source of these data. On the basis of the collected data, average material quantities and transportation distances were calculated for each region and reclamation task; these averages were used as the composite mine specifications assumed to be representative of the typical earthmoving requirements associated with each task in each region. Revegetation costs were estimated on the basis of published or publicly available data representing either the actual or estimated costs to state governments of revegetating abandoned mine sites. Permitting costs were developed on the basis of estimates of typical regional permitting costs solicited from engineering contractors providing permitting services to the coal industry. 11 tabs.

Not Available

1984-11-30T23:59:59.000Z

3

Frame-Scheduling for Input-Queued Switches with Energy Reconfiguration Costs  

E-Print Network [OSTI]

Frame-Scheduling for Input-Queued Switches with Energy Reconfiguration Costs Andrea Bianco, Paolo problems, mainly due to thermal issues that require complex cooling systems and to increasing energy costs scheduler determines a switching fabric configuration to transfer packets. We consider the energy

4

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

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

5

Energy input, carbon intensity and cost for ethanol produced from farmed seaweed  

Science Journals Connector (OSTI)

Abstract Macroalgae, commonly known as seaweed, has received significant interest as a potential source of ethanol because of its fast growth, significant sugar content and successful lab-scale conversion to ethanol. Issues such as energy input in seaweed conversion, lifecycle emissions, global production potential and cost have received limited attention. To address this gap, a well-to-tank model of ethanol production from brown seaweed is developed and applied to the case of ethanol production from Saccharina latissima in British Columbia, Canada. Animal feed is proposed as a co-product and co-product credits are estimated. In the case considered, seaweed ethanol is found to have an energy return on invested (EROI) of 1.7 and a carbon intensity (CI) of 10.8gCO2eMJ?1. Ethanol production from conventionally farmed seaweed could cost less than conventional ethanol and be produced on a scale comparable to 1% of global gasoline production. A drying system is required in regions such as British Columbia that require seasonal seaweed storage due to a limited harvest season. The results are significantly influenced by variations in animal feed processing energy, co-product credit value, seaweed composition, the value of seaweed animal feed and the cost of seaweed farming. We find EROI ranges from 0.64 to 26.7, CI from 33 to ?41gCO2eMJ?1 and ethanol production is not financially viable without animal feed production in some scenarios.

Aaron Philippsen; Peter Wild; Andrew Rowe

2014-01-01T23:59:59.000Z

6

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

SciTech Connect (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

7

Assessment of costs and benefits of flexible and alternative fuel use in the US transportation sector. Technical report twelve: Economic analysis of alternative uses for Alaskan North Slope natural gas  

SciTech Connect (OSTI)

As part of the Altemative Fuels Assessment, the Department of Energy (DOE) is studying the use of derivatives of natural gas, including compressed natural gas and methanol, as altemative transportation fuels. A critical part of this effort is determining potential sources of natural gas and the economics of those sources. Previous studies in this series characterized the economics of unutilized gas within the lower 48 United States, comparing its value for methanol production against its value as a pipelined fuel (US Department of Energy 1991), and analyzed the costs of developing undeveloped nonassociated gas reserves in several countries (US Department of Energy 1992c). This report extends those analyses to include Alaskan North Slope natural gas that either is not being produced or is being reinjected. The report includes the following: A description of discovered and potential (undiscovered) quantities of natural gas on the Alaskan North Slope. A discussion of proposed altemative uses for Alaskan North Slope natural gas. A comparison of the economics of the proposed alternative uses for Alaskan North Slope natural gas. The purpose of this report is to illustrate the costs of transporting Alaskan North Slope gas to markets in the lower 48 States as pipeline gas, liquefied natural gas (LNG), or methanol. It is not intended to recommend one alternative over another or to evaluate the relative economics or timing of using North Slope gas in new tertiary oil recovery projects. The information is supplied in sufficient detail to allow incorporation of relevant economic relationships (for example, wellhead gas prices and transportation costs) into the Altemative Fuels Trade Model, the analytical framework DOE is using to evaluate various policy options.

Not Available

1993-12-01T23:59:59.000Z

8

Comparative analysis of twelve Dothideomycete plant pathogens  

SciTech Connect (OSTI)

The Dothideomycetes are one of the largest and most diverse groups of fungi. Many are plant pathogens and pose a serious threat to agricultural crops grown for biofuel, food or feed. Most Dothideomycetes have only a single host and related Dothideomycete species can have very diverse host plants. Twelve Dothideomycete genomes have currently been sequenced by the Joint Genome Institute and other sequencing centers. They can be accessed via Mycocosm which has tools for comparative analysis

Ohm, Robin; Aerts, Andrea; Salamov, Asaf; Goodwin, Stephen B.; Grigoriev, Igor

2011-03-11T23:59:59.000Z

9

Twelve Steps to Successful Energy Project Management  

E-Print Network [OSTI]

by following twelve steps. These steps, which can be grouped into three phases, are outlined in the accompanying flow chart. Phase l, project initiation, includes idea generation, project defi nition and scope, preliminary economics, project support...-range reward for a valuable energy con servation suggestion generally is individual recognition. If interest and participation in the program are to continue, all ideas should be responded to promptly. ~2. Project Definition and Scope (Specifi ?~_tions...

Smith, W. P.

10

QGESS: Capital Cost Scaling Methodology  

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

(costs and values of inputs, outputs, and processes, including capital and operating costs) and performance (mass conversion, energy efficiency, and, generally speaking,...

11

Refiner Crude Oil Inputs  

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

Day) Refiner Percent Operable Utilization Net Inputs (Refiner and Blender) of Motor Gasoline Blending Comp Net Inputs (Refiner and Blender) of RBOB Blending Components Net...

12

MHK Projects/Twelve Mile Point Project | Open Energy Information  

Open Energy Info (EERE)

Twelve Mile Point Project Twelve Mile Point Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.9177,"lon":-89.9307,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

13

Automatic input rectification  

E-Print Network [OSTI]

We present a novel technique, automatic input rectification, and a prototype implementation, SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process correctly. ...

Long, Fan

14

Automatic Input Rectification  

E-Print Network [OSTI]

We present a novel technique, automatic input rectification, and a prototype implementation called SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process ...

Long, Fan

2011-10-03T23:59:59.000Z

15

TART input manual  

SciTech Connect (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

16

Estimating environmental costs  

Science Journals Connector (OSTI)

Added demands on natural resources and proposed environmental regulations could potentially have a significant impact on the production and operational costs of information technology (IT). In this paper, we utilize an Economic Input-Output Life-Cycle ...

Kiara Corrigan; Amip Shah; Chandrakant Patel

2010-02-01T23:59:59.000Z

17

Input to Priorities Panel August 7, 2012  

E-Print Network [OSTI]

Input to Priorities Panel August 7, 2012 Jeff Freidberg MIT 1 #12;The Emperor of Fusion has · Comparison (1 GW overnight cost) · Coal $ 3B · Gas $ 1B · Nuclear $ 4B · Wind $ 2B · Solar-T $ 3B · ITER $25B

18

Commercializing government-sponsored innovations: Twelve successful buildings case studies  

SciTech Connect (OSTI)

This report examines the commercialization and use of R and D results funded by DOE's Office of Buildings and Community Systems (OBCS), an office that is dedicated to improving the energy efficiency of the nation's buildings. Three goals guided the research described in this report: to improve understanding of the factors that hinder or facilitate the transfer of OBCS R and D results, to determine which technology transfer strategies are most effective and under what circumstances each is appropriate, and to document the market penetration and energy savings achieved by successfully-commercialized innovations that have received OBCS support. Twelve successfully-commercialized innovations are discussed here. The methodology employed involved a review of the literature, interviews with innovation program managers and industry personnel, and data collection from secondary sources. Six generic technology transfer strategies are also described. Of these, contracting R and D to industrial partners is found to be the most commonly used strategy in our case studies. The market penetration achieved to date by the innovations studied ranges from less than 1% to 100%. For the three innovations with the highest predicted levels of energy savings (i.e., the flame retention head oil burner, low-E windows, and solid-state ballasts), combined cumulative savings by the year 2000 are likely to approach 2 quads. To date the energy savings for these three innovations have been about 0.2 quads. Our case studies illustrate the important role federal agencies can play in commercializing new technologies. 27 refs., 21 figs., 4 tabs.

Brown, M.A.; Berry, L.G.; Goel, R.K.

1989-01-01T23:59:59.000Z

19

Cost Function Estimates  

Science Journals Connector (OSTI)

Abstract The cost function describes the cost-minimizing combinations of inputs required for production of different levels of output. Empirical cost function studies take both short-run and long-run approaches and can be structurally consistent with microeconomic theory versus more behavioral or real-world data oriented. Studies of health care providers face numerous challenges including the multiproduct nature of the firm, difficulty in controlling for quality of service, and frequent failure of the profit-maximization assumption. Cost function applications in health care are numerous and include such topics as optimal firm size, performance inefficiency measures, and comparisons of production costs with third-party payments.

K. Carey

2014-01-01T23:59:59.000Z

20

NUPlans Budgeting Grant Input View  

E-Print Network [OSTI]

NUPlans Budgeting Grant Input View FMS704 NUPlansGrantInputViewV2 Last updated 4/7/2014 - rb © 2014 Northwestern University FMS704 NUPlans Contributor Budgeting 1 of 5 NUPlans Grant Input View NUPlans enables schools and units with grant projects to input grant expense estimates per project for the next fiscal

Shull, Kenneth R.

Note: This page contains sample records for the topic "input costs twelve" 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 Cost Calculator for Electric and Gas Water Heaters | Department...  

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

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

22

Prioritization Tool Measurement Input Form  

Broader source: Energy.gov [DOE]

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

23

Startup Costs  

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

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

1997-03-28T23:59:59.000Z

24

Simulator evaluation of three low cost control input devices  

E-Print Network [OSTI]

and allow experienced crews to practice missions or phases of missions during inclement weather or during times when an aircraft is under repair. Engineering simulations are used by virtually every design team in the evolution of new configurations...&M University Aerospace Engineering Department, in early 1990, pur- chased a Silicon Graphics Integrated Raster Imaging System (IRIS) model 4D-210GTX computer to be the heart of a man-in-the-loop aircraft simulation. The primary purpose of the simulator...

Niestroy, Michael Anthony

1991-01-01T23:59:59.000Z

25

DOE Seeks Input On Addressing Contractor Pension and Medical Benefits  

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

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.

26

,"U.S. Blender Net Input"  

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

Blender Net Input of Residuum (Thousand Barrels)","U.S. Blender Net Input of Gasoline Blending Components (Thousand Barrels)","U.S. Blender Net Input of Reformulated...

27

Is it Worth it? A Comparative Analysis of Cost-Benefit Projections for State Renewables Portfolio Standards  

E-Print Network [OSTI]

most important input to the avoided cost estimate of severalstudies that assume that avoided costs will be effectivelyor implicitly assumed that avoided costs will be primarily

Chen, Cliff; Wiser, Ryan; Bolinger, Mark

2006-01-01T23:59:59.000Z

28

Commercial equipment cost database  

SciTech Connect (OSTI)

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

29

CALIBRATION OFTHE FINITE ELEMENT MODEL OFA TWELVE-SPAN PRESTRESSED CONCRETE BRIDGE USING  

E-Print Network [OSTI]

CALIBRATION OFTHE FINITE ELEMENT MODEL OFA TWELVE-SPAN PRESTRESSED CONCRETE BRIDGE USING AMBIENT health monitoring system was designed and installed in the bridge. As a critical part in the SHM process the implementation of the FE model calibration using ambient vibration data. The initial model of the bridge

Paris-Sud XI, Université de

30

Cost Containment  

Science Journals Connector (OSTI)

Cost containment in health care involves awide ... , the growth rate of expenditure or certain costs of health care services. These measures include ... patient education, etc. The reasons for increased cost ...

2008-01-01T23:59:59.000Z

31

Synthesis, Characterization, and Applications of a Melamine Based Dendrimer with Twelve Cysteine Groups on the Periphery  

E-Print Network [OSTI]

SYNTHESIS, CHARACTERIZATION, AND APLICATIONS OF A MELAMINE BASED ENDRIMER WITH TWELVE CYSTEINE GROUPS ON THE PERIPHERY A Thesis by BRANDON MARK VITUR Submited to the Ofice of Graduate Studies of Texas A&M University in partial... by BRANDON MARK VITUR Submited to the Ofice of Graduate Studies of Texas A&M University in partial fulfilment of the requirements for the degre of MASTER OF SCIENCE Approved by: Chair of Commite, Eric E. Simanek Commite Members, Jean...

Vittur, Brandon M.

2010-07-14T23:59:59.000Z

32

Intermediate inputs and economic productivity  

Science Journals Connector (OSTI)

...US sectoral-level production functions. Both the...316) and plastics and rubber-(326). The relationship...coefficients of the production function sum to a quantity...inputs were used in the production process. 16 This estimate...products 326 plastics and rubber products 327 non-metallic...

2013-01-01T23:59:59.000Z

33

PADD 3 Weekly Inputs & Utilization  

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

Utilization 97.4 95.3 94.8 94.9 95.9 92.2 2010-2015 Refiner and Blender Net Inputs Motor Gasoline Blending Components -2,174 -2,008 -2,012 -2,095 -2,214 -2,291 2004-2015 RBOB -283...

34

Resources Abstracts Input Transaction Form  

E-Print Network [OSTI]

#12;Resources Abstracts Input Transaction Form 4. Title 5. Report Date 6.Urban Aquaculture Covered The University of the District of Columbia 12. Sponsoring Organization Water Resources Research of the rainbow trout (Salmo gairdneri) in a closed recycling water system in an urban environment is described

District of Columbia, University of the

35

Heliostat cost-analysis tool  

SciTech Connect (OSTI)

Estimated production costs of solar energy systems serve as guides for future component development and as measures of the potential economic viability of the technologies. The analysis of heliostat costs is particularly important since the heliostat field is the largest cost component of a solar central receiver plant. A heliostat cost analysis tool (HELCAT) that processes manufacturing, transportation, and installation cost data has been developed to provide a consistent structure for cost analyses. HELCAT calculates a representative product price based on direct input data (e.g. direct materials, direct labor, capital requirements) and various economic, financial, and accounting assumptions. The characteristics of this tool and its initial application in the evaluation of second generation heliostat cost estimates are discussed. A set of nominal economic and financial parameters is also suggested.

Brandt, L.D.; Chang, R.E.

1981-10-01T23:59:59.000Z

36

Cost Estimator  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve as a senior cost and schedule estimator who is responsible for preparing life-cycle cost and schedule estimates and analyses associated with the...

37

Operating Costs  

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

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

1997-03-28T23:59:59.000Z

38

Definition of a Twelve-Point Polygonal SAA Boundaryfor the GLAST Mission  

SciTech Connect (OSTI)

The Gamma-Ray Large Area Space Telescope (GLAST), set to launch in early 2008, detects gamma rays within a huge energy range of 100 MeV - 300 GeV. Background cosmic radiation interferes with such detection resulting in confusion over distinguishing cosmic from gamma rays encountered. This quandary is resolved by encasing GLAST's Large Area Telescope (LAT) with an Anti-Coincidence Detector (ACD), a device which identifies and vetoes charged particles. The ACD accomplishes this through plastic scintillator tiles; when cosmic rays strike, photons produced induce currents in Photomultiplier Tubes (PMTs) attached to these tiles. However, as GLAST orbits Earth at altitudes {approx}550km and latitudes between -26 degree and 26 degree, it will confront the South Atlantic Anomaly (SAA), a region of high particle flux caused by trapped radiation in the geomagnetic field. Since the SAA flux would degrade the sensitivity of the ACD's PMTs over time, a determined boundary enclosing this region need be attained, signaling when to lower the voltage on the PMTs as a protective measure. The operational constraints on such a boundary require a convex SAA polygon with twelve edges, whose area is minimal ensuring GLAST has maximum observation time. The AP8 and PSB97 models describing the behavior of trapped radiation were used in analyzing the SAA and defining a convex SAA boundary of twelve sides. The smallest possible boundary was found to cover 14.58% of GLAST's observation time. Further analysis of defining a boundary safety margin to account for inaccuracies in the models reveals if the total SAA hull area is increased by {approx}20%, the loss of total observational area is < 5%. These twelve coordinates defining the SAA flux region are ready for implementation by the GLAST satellite.

Djomehri, Sabra I.; /UC, Santa Cruz /SLAC

2007-08-29T23:59:59.000Z

39

Cost Shifting  

Science Journals Connector (OSTI)

Abstract Cost shifting exists when a provider raises prices for one set of buyers because it has lowered prices for some other buyer. In theory, cost shifting can take place only if providers have unexploited market power. The empirical evidence on the extent of cost shifting is mixed. Taken as a whole, the evidence does not support the claims that cost shifting is a large and pervasive feature of the US health-care markets. At most, one can argue that perhaps one-fifth of Medicare payment reductions have been passed on to private payers. The majority of the rigorous studies, however, have found no evidence of cost shifting.

M.A. Morrisey

2014-01-01T23:59:59.000Z

40

Cost Study for Large Wind Turbine Blades  

SciTech Connect (OSTI)

The cost study for large wind turbine blades reviewed three blades of 30 meters, 50 meters, and 70 meters in length. Blade extreme wind design loads were estimated in accordance with IEC Class I recommendations. Structural analyses of three blade sizes were performed at representative spanwise stations assuming a stressed shell design approach and E-glass/vinylester laminate. A bill of materials was prepared for each of the three blade sizes using the laminate requirements prepared during the structural analysis effort. The labor requirements were prepared for twelve major manufacturing tasks. TPI Composites developed a conceptual design of the manufacturing facility for each of the three blade sizes, which was used for determining the cost of labor and overhead (capital equipment and facilities). Each of the three potential manufacturing facilities was sized to provide a constant annual rated power production (MW per year) of the blades it produced. The cost of the production tooling and overland transportation was also estimated. The results indicate that as blades get larger, materials become a greater proportion of total cost, while the percentage of labor cost is decreased. Transportation costs decreased as a percentage of total cost. The study also suggests that blade cost reduction efforts should focus on reducing material cost and lowering manufacturing labor, because cost reductions in those areas will have the strongest impact on overall blade cost.

ASHWILL, THOMAS D.

2003-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "input costs twelve" 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

cost savings  

National Nuclear Security Administration (NNSA)

reduced the amount of time involved in the annual chemical inventory for a cost savings of 18,282. Other presentations covered SRNS' award-winning employee suggestion...

42

BPA's Costs  

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

BPAsCosts Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance & Rates...

43

Code input alternatives John C. Wright  

E-Print Network [OSTI]

Code input alternatives John C. Wright John Wright Oct 2009 ­ CSWIM Workshop@ORNL Extensible markup

Wright, John C.

44

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

45

TRANSIT TIMING OBSERVATIONS FROM KEPLER. VIII. CATALOG OF TRANSIT TIMING MEASUREMENTS OF THE FIRST TWELVE QUARTERS  

SciTech Connect (OSTI)

Following the works of Ford et al. and Steffen et al. we derived the transit timing of 1960 Kepler objects of interest (KOIs) using the pre-search data conditioning light curves of the first twelve quarters of the Kepler data. For 721 KOIs with large enough signal-to-noise ratios, we obtained also the duration and depth of each transit. The results are presented as a catalog for the community to use. We derived a few statistics of our results that could be used to indicate significant variations. Including systems found by previous works, we have found 130 KOIs that showed highly significant times of transit variations (TTVs) and 13 that had short-period TTV modulations with small amplitudes. We consider two effects that could cause apparent periodic TTVthe finite sampling of the observations and the interference with the stellar activity, stellar spots in particular. We briefly discuss some statistical aspects of our detected TTVs. We show that the TTV period is correlated with the orbital period of the planet and with the TTV amplitude.

Mazeh, Tsevi; Nachmani, Gil; Holczer, Tomer; Sokol, Gil [School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978 (Israel); Fabrycky, Daniel C. [Department of Astronomy and Astrophysics, University of Chicago, 5640 Ellis Ave., Chicago, IL 60637 (United States); Ford, Eric B.; Ragozzine, Darin [Astronomy Department, University of Florida, Gainesville, FL 32111 (United States); Sanchis-Ojeda, Roberto [Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139 (United States); Rowe, Jason F.; Lissauer, Jack J. [NASA Ames Research Center, Moffett Field, CA 94035 (United States); Zucker, Shay [Department of Geophysical, Atmospheric and Planetary Sciences, Raymond and Beverly Sackler Faculty of Exact Sciences Tel Aviv University, 69978 Tel Aviv (Israel); Agol, Eric [Department of Astronomy, Box 351580, University of Washington, Seattle, WA 98195 (United States); Carter, Joshua A. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Quintana, Elisa V. [SETI Institute, 189 Bernardo Ave, Suite 100, Mountain View, CA 94043 (United States); Steffen, Jason H. [Fermilab Center for Particle Astrophysics, P.O. Box 500, MS 127, Batavia, IL 60510 (United States); Welsh, William [Astronomy Department, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182 (United States)

2013-10-01T23:59:59.000Z

46

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

47

Electric power substation capital costs  

SciTech Connect (OSTI)

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

48

Electricity costs  

Science Journals Connector (OSTI)

... index is used to correct for inflation. The short answer is given by the Central Electricity Generating Board's (CEGB's) 1980-81 report, paragraph 168. "The ... Generating Board's (CEGB's) 1980-81 report, paragraph 168. "The cost per kWh of fuel. . . rose by 18.6 per cent (between 1979 ...

J.W. JEFFERY

1982-03-18T23:59:59.000Z

49

Types of Costs Types of Cost Estimates  

E-Print Network [OSTI]

first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining-site management or corporate level expenditure · Direct vs. Indirect Costs ­ Direct (or variable) costs apply

Boisvert, Jeff

50

Types of Costs Types of Cost Estimates  

E-Print Network [OSTI]

-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408 ­ off-site management or corporate level expenditure · Direct vs. Indirect Costs ­ Direct (or variable

Boisvert, Jeff

51

Estimating Specialty Costs  

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

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

1997-03-28T23:59:59.000Z

52

Direct costing  

E-Print Network [OSTI]

oau 5e reduced. Under the same oonOitions, even ~Me on a bread scale entails not mere1y the conduct of the direct oyeraticns cf yrccessing the materials into finished products, but also the performance of auxiliary functions. these may 'ba power y... purposes have been advanced as folkway le Most of a o03RyaxO' 8 products Grc usual13r sold at prices which oovex' full product costs y plus 861ling a%el administrative expenses, plus normal profit. The inventoi~ valuate. on should be consistent...

Browning, Donald Bullock

2012-06-07T23:59:59.000Z

53

Cost Analysis Rate Settin  

E-Print Network [OSTI]

Cost Analysis and Rate Settin for Animal Research Facilities #12;#12;Cost Analysis and Rate ... .. . ...................... . . . ................................. . .... 7 Chapter 2 Preparation for Cost Analysis ......................................................... 9 Chapter 3 Assignment of Costs to Animal Research Facility Cost Centers

Baker, Chris I.

54

National Climate Assessment: Available Technical Inputs  

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

55

Evaluation of boolean formulas with restricted inputs  

E-Print Network [OSTI]

In this thesis, I will investigate the running time of quantum algorithms for evaluating boolean functions when the input is promised to satisfy certain conditions. The two quantum algorithms considered in this paper are ...

Zhan, Bohua

2010-01-01T23:59:59.000Z

56

Generation of RTL verification input stimulus  

E-Print Network [OSTI]

This thesis presents an approach for generating input stimulus for verification of register-transfer level (RTL) design of VLSI circuits. RTL design is often subjected to a significant verification effort due to errors introduced during manual...

Selvarathinam, Anand Manivannan

2012-06-07T23:59:59.000Z

57

Cost Sharing What is Cost Sharing?  

E-Print Network [OSTI]

1 Cost Sharing What is Cost Sharing? x Cost sharing is a commitment to use university resources and Expenses o Equipment x Committing to cost share is highly discouraged unless required by the sponsoring agency x Tracking of committed cost share is required to meet federal regulations (OMB A-110) x UCSD has

Tsien, Roger Y.

58

Evaluation of desalination costs with DEEP  

Science Journals Connector (OSTI)

Detailed analysis has shown several discrepancies and pitfalls of coupling an economic evaluation code, such as SEMER to the desalination cost evaluation code DEEP. This paper resumes our findings, which may be of interest to other DEEP users. The paper in particular deals with the following issues: why is it that power costs from nuclear systems are systematically higher in DEEP than those given by the economic evaluations made by individual organisations, (in our case, the SEMER code for example), even when the calculated construction costs are input into DEEP? Why corresponding power costs for fossil energy systems are lower? Why in particular desalination costs from Gas-Turbine Combined Cycle power system, which is now considered to be the cheapest fossil fuel option, are higher than desalination costs by Pulverised Coal system? Why DEEP calculation results with the backup heat source are 40% higher than those without the backup heat source?

S. Nisan; Linda Volpi

2004-01-01T23:59:59.000Z

59

Cost Sharing Basics Definitions  

E-Print Network [OSTI]

Cost Sharing Basics Definitions Some funding agencies require the grantee institution the project costs. Cost sharing is defined as project costs not borne by the sponsor. Cost sharing funds may resources or facilities. If the award is federal, only acceptable non-federal costs qualify as cost sharing

Finley Jr., Russell L.

60

FULL-COST ACCOUNTING  

Science Journals Connector (OSTI)

FULL-COST ACCOUNTING ... Environmental costs would be built into a product's cost, and consumers would be able to make informed purchases. ...

1993-01-11T23:59:59.000Z

Note: This page contains sample records for the topic "input costs twelve" 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

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

62

Opportunities for Public Input Into DOE Projects  

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

63

Cost-Effectiveness Ratio  

Science Journals Connector (OSTI)

The cost?effectiveness ratio (CER) is acalculation that summarizes the intervention's net cost and effectiveness. The three types of CER are: the average cost?effectiveness ratio (ACER), the marginal cost?...

2008-01-01T23:59:59.000Z

64

Cost Share-Cost Reimbursement Invoice Format Example | The Ames...  

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

Share-Cost Reimbursement Invoice Format Example Effective Date: 102014 File (public): Cost Share-Cost...

65

Community Energy Systems and the Law of Public Utilities. Volume Twelve. Georgia  

SciTech Connect (OSTI)

A detailed description of the laws and programs of the State of Georgia governing the regulation of public energy utilities, the siting of energy generating and transmission facilities, the municipal franchising of public energy utilities, and the prescription of rates to be charged by utilities including attendant problems of cost allocations, rate base and operating expense determinations, and rate of return allowances. These laws and programs are analyzed to identify impediments which they may present to the implementation of Integrated Community Energy Systems (ICES). This report is one of fifty-one separate volumes which describe such regulatory programs at the Federal level and in each state as background to the report entitled Community Energy Systems and the Law of Public Utilities - Volume One: An Overview. This report also contains a summary of a strategy described in Volume One - An Overview for overcoming these impediments by working within the existing regulatory framework and by making changes in the regulatory programs to enhance the likelihood of ICES implementation.

Feurer, D.A.; Weaver, C.L.

1981-01-01T23:59:59.000Z

66

Watfactory Virtual Manufacturing Process Varying Inputs  

E-Print Network [OSTI]

with the virtual process: · Allows quick exploration (i.e. during a short course) of process improvement ideasWatfactory Virtual Manufacturing Process Machine 1 Machine 2 Machine 3 Stream 1 Machine B Stream 2 Inputs Can be Set by Stream z19, ..., z24 The Watfactory virtual process simulates a manufacturing

Zhu, Mu

67

Automatic interpretation of loosely encoded input  

Science Journals Connector (OSTI)

Knowledge-based systems are often brittle when given unanticipated input, i.e. assertions or queries that misalign with the ontology of the knowledge base. We call such misalignments ''loose speak''. We found that loose speak occurs frequently in interactions ... Keywords: Knowledge based systems, Metonymy, Noun compound, Question answering

James Fan; Ken Barker; Bruce Porter

2009-02-01T23:59:59.000Z

68

U.S. Weekly Inputs & Utilization  

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

Utilization 95.4 93.5 93.5 94.4 93.9 91 1990-2015 Refiner and Blender Net Inputs Motor Gasoline Blending Components 8 234 445 192 -558 -219 2004-2015 RBOB 167 330 371 103 9 261...

69

Contractive Systems with Inputs Eduardo D. Sontag  

E-Print Network [OSTI]

Contractive Systems with Inputs Eduardo D. Sontag Dedicated to Y. Yamamoto on the occasion of his 60th birthday Abstract. Contraction theory provides an elegant way of analyzing the behaviors-contained introduction to some basic results, with a focus on contractions with respect to non-Euclidean metrics. 1

Sontag, Eduardo

70

Green Computing input for better outcomes  

E-Print Network [OSTI]

Journal Profile: Udi Dahan Green Maturity Model for Virtualization Profiling Energy Usage for Efficient suggests that tracking energy consumption at every level will become the factor of success for greenGreen Computing input for better outcomes Learn the discipline, pursue the art, and contribute

Amir, Yair

71

Dale Meade regarding input international collaboration panel  

E-Print Network [OSTI]

Dale Meade regarding input international collaboration panel 1 message Saskia to add 2 comments to this discussion: 1. This regards not only international collaborations, but also national collaborations. We need to decide on using 1 video conferencing system. One of the main

72

Results of primary central nervous system lymphoma treated by radiation and chemotherapy: Retrospective analysis of twelve institutions in the Tokai district of Japan, 19951999  

Science Journals Connector (OSTI)

We analyzed the therapeutic results and prognostic factors of 46 primary central nervous system lymphoma (PCNSL) patients who were treated at twelve institutions in the Tokai district of Japan between 1995 and...

Toshiki Kawamura M.D.; Tsuneo Ishiguchi; Yuta Shibamoto

2006-01-01T23:59:59.000Z

73

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

SciTech Connect (OSTI)

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

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

2011-10-27T23:59:59.000Z

74

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

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

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

75

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

Energy Savers [EERE]

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

76

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

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

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...

77

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

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

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...

78

Application of computer voice input/output  

SciTech Connect (OSTI)

The advent of microprocessors and other large-scale integration (LSI) circuits is making voice input and output for computers and instruments practical; specialized LSI chips for speech processing are appearing on the market. Voice can be used to input data or to issue instrument commands; this allows the operator to engage in other tasks, move about, and to use standard data entry systems. Voice synthesizers can generate audible, easily understood instructions. Using voice characteristics, a control system can verify speaker identity for security purposes. Two simple voice-controlled systems have been designed at Los Alamos for nuclear safeguards applicaations. Each can easily be expanded as time allows. The first system is for instrument control that accepts voice commands and issues audible operator prompts. The second system is for access control. The speaker's voice is used to verify his identity and to actuate external devices.

Ford, W.; Shirk, D.G.

1981-01-01T23:59:59.000Z

79

Costs Associated With Compressed Natural Gas Vehicle Fueling Infrastructure  

SciTech Connect (OSTI)

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

Smith, M.; Gonzales, J.

2014-09-01T23:59:59.000Z

80

Generalized Input-Output Inequality Systems  

SciTech Connect (OSTI)

In this paper two types of generalized Leontief input-output inequality systems are introduced. The minimax properties for a class of functions associated with the inequalities are studied. Sufficient and necessary conditions for the inequality systems to have solutions are obtained in terms of the minimax value. Stability analysis for the solution set is provided in terms of upper semi-continuity and hemi-continuity of set-valued maps.

Liu Yingfan [Department of Mathematics, Nanjing University of Post and Telecommunications, Nanjing 210009 (China)], E-mail: yingfanliu@hotmail.com; Zhang Qinghong [Department of Mathematics and Computer Science, Northern Michigan University, Marquette, MI 49855 (United States)], E-mail: qzhang@nmu.edu

2006-09-15T23:59:59.000Z

Note: This page contains sample records for the topic "input costs twelve" 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

Cost Model and Cost Estimating Software  

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

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

1997-03-28T23:59:59.000Z

82

Cost Study Manual  

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

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

83

Activity Based Costing  

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

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

1997-03-28T23:59:59.000Z

84

Levelized Electricity Costs  

Science Journals Connector (OSTI)

The concept of levelized energy costs responds to the necessity of disclosing the ... in order to recover the total life cycle cost of energy production. This chapter charts the effectiveness of levelized cost fo...

Nuno Luis Madureira

2014-01-01T23:59:59.000Z

85

Methods | Transparent Cost Database  

Open Energy Info (EERE)

information NREL has developed the following cost of energy tools: System Advisor Model (SAM): https:sam.nrel.gov SAM makes performance predictions and cost of...

86

Energy input, carbon intensity, and cost for ethanol produced from brown seaweed.  

E-Print Network [OSTI]

??Brown macroalgae or brown seaweed is a promising source of ethanol that may avoid the challenges of arable land use, water use, lignin content, and (more)

Philippsen, Aaron

2013-01-01T23:59:59.000Z

87

Los Alamos National Laboratory Building Cost Index  

SciTech Connect (OSTI)

The Los Alamos National Laboratory Building Cost Index indicates that actual escalation since 1970 is near 10% per year. Therefore, the Laboratory will continue using a 10% per year escalation rate for construction estimates through 1985 and a slightly lower rate of 8% per year from 1986 through 1990. The computerized program compares the different elements involved in the cost of a typical construction project, which for our purposes, is a complex of office buildings and experimental laboratores. The input data used in the program consist primarily of labor costs and material and equipment costs. The labor costs are the contractural rates of the crafts workers in the Los Alamos area. For the analysis, 12 field-labor draft categories are used; each is weighted corresponding to the labor craft distribution associated with the typical construction project. The materials costs are current Los Alamos prices. Additional information sources include material and equipment quotes obtained through conversations with vendors and from trade publications. The material and equipment items separate into 17 categories for the analysis and are weighted corresponding to the material and equipment distribution associated with the typical construction project. The building cost index is compared to other national building cost indexes.

Orr, H.D.; Lemon, G.D.

1983-01-01T23:59:59.000Z

88

Los Alamos National Laboratory building cost index  

SciTech Connect (OSTI)

The Los Alamos National Laboratory Building Cost Index indicates that actual escalation since 1970 is near 10% per year. Therefore, the Laboratory will continue using a 10% per year escalation rate for construction estimates through 1985 and a slightly lower rate of 8% per year from 1986 through 1990. The computerized program compares the different elements involved in the cost of a typical construction project, which for our purposes, is a complex of office buildings and experimental laboratories. The input data used in the program consist primarily of labor costs and material and equipment costs. The labor costs are the contractual rates of the crafts workers in the Los Alamos area. For the analysis, 12 field-labor craft categories are used; each is weighted corresponding to the labor craft distribution associated with the typical construction project. The materials costs are current Los Alamos prices. Additional information sources include material and equipment quotes obtained through conversations with vendors and from trade publications. The material and equipment items separate into 17 categories for the analysis and are weighted corresponding to the material and equipment distribution associated with the typical construction project. The building cost index is compared to other national building cost indexes.

Orr, H.D.; Lemon, G.D.

1982-10-01T23:59:59.000Z

89

Highly Insulating Windows - Cost  

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

90

Energy Cost Calculator for Faucets and Showerheads | Department of Energy  

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

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

91

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

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

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

92

Contracting with reading costs and renegotiation costs  

E-Print Network [OSTI]

OF CALIFORNIA, SAN DIEGO Contracting with Reading Costs andrents, and the competitive contracting process. Journal ofReiche. Foundation of incomplete contracting in a model of

Brennan, James R.

2007-01-01T23:59:59.000Z

93

Cost Estimating Handbook for Environmental Restoration  

SciTech Connect (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

94

Cost Estimation Package  

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

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

1997-03-28T23:59:59.000Z

95

Life Cycle Cost Estimate  

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

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

1997-03-28T23:59:59.000Z

96

A chronicle of costs  

SciTech Connect (OSTI)

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

Elioff, T.

1994-04-01T23:59:59.000Z

97

Early Station Costs Questionnaire  

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

98

Twelve Valuable Government Programs  

Science Journals Connector (OSTI)

As you can see by the size of the recent $25 billion settlement state attorneys general reached with the five biggest lenders in the country (described in the last chapter), or new laws that aim to improve len...

Chris Lauer

2013-01-01T23:59:59.000Z

99

Low Cost, Durable Seal  

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

100

Strengthening organizational performance through accreditation research-a framework for twelve interrelated studies: the ACCREDIT project study protocol  

Science Journals Connector (OSTI)

We present the framework for our studies in accreditation. Four specific aims of the ACCREDIT project, which will direct our findings, are to: (i) evaluate current accreditation processes; (ii) analyse the costs ...

Jeffrey Braithwaite; Johanna Westbrook; Brian Johnston; Stephen Clark

2011-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "input costs twelve" 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

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

102

INGEN: A COBRA-NC input generator user's manual  

SciTech Connect (OSTI)

The INGEN (INput GENerator) computer program has been developed as a preprocessor to simplify input generation for the COBRA-NC computer program. INGEN uses several empirical correlations and geometric assumptions to simplify the data input requirements for the COBRA-NC computer code. The simplified input scheme is obtained at the expense of much flexibility provided by COBRA-NC. For more complex problems requiring additional flexibility however, INGEN may be used to provide a skeletal input file to which the more detailed input may be added. This report describes the input requirements for INGEN and describes the algorithms and correlations used to generate the COBRA-NC input. 9 refs., 3 figs., 6 tabs.

Wheeler, C.L.; Dodge, R.E.

1986-12-01T23:59:59.000Z

103

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

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

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

104

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

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

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

105

How Sensitive is Processor Customization to the Workload's Input Datasets?  

E-Print Network [OSTI]

How Sensitive is Processor Customization to the Workload's Input Datasets? Maximilien Breughe Zheng though is to what extent processor customiza- tion is sensitive to the training workload's input datasets. Current practice is to consider a single or only a few input datasets per workload during the processor

Eeckhout, Lieven

106

Operations Cost Allocation Project  

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

107

Hydrogen Threshold Cost Calculation  

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

108

Hydrogen Pathway Cost Distributions  

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

109

Cost-Benefit Analysis  

Science Journals Connector (OSTI)

Acost-benefit analysis is an analytical procedure for determining the economic efficiency of intervention, expressed as the relationship between costs and outcomes, usually measured in monetary terms. In othe...

2008-01-01T23:59:59.000Z

110

Cost-Efficiency  

Science Journals Connector (OSTI)

Cost?efficiency is agoal that has been integrated by policy makers into all modern health care systems to control the expansion of costs over time. It relates to maximizing the quality of acomparable unit ...

2008-01-01T23:59:59.000Z

111

About Cost Center  

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

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

112

Costs of Electricity  

Science Journals Connector (OSTI)

A major reason for the decreased interest in the building of new nuclear power plants in recent years has been the relatively high cost of nuclear power. In this section, we will consider the role of costs in electricity

2005-01-01T23:59:59.000Z

113

Direct/Indirect Costs  

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

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

1997-03-28T23:59:59.000Z

114

Cost Optimal Energy Performance  

Science Journals Connector (OSTI)

EPBD recast requires Member States (MS) to ensure that minimum energy performance requirements of buildings are set with a view to achieving cost optimal levels using a comparative methodology framework...1]. Cost

Jarek Kurnitski

2013-01-01T23:59:59.000Z

115

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

116

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

117

Cost Containment and Productivity  

E-Print Network [OSTI]

Cost Containment and Productivity Faculty Assembly Presentation January 22, 2013 Arthur G. Ramicone, CFO David N. DeJong, Vice Provost, Academic Planning and Resources Management #12;Cost Containment Resources to Enhance the Student Experience · Reduce the Cost and Complexity of Administrative Operations

Jiang, Huiqiang

118

Power Plant Cycling Costs  

SciTech Connect (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

119

Lunch & Learn Cost Sharing  

E-Print Network [OSTI]

Lunch & Learn Cost Sharing #12;Today's Agenda Policy Procedures OMNI Child Budget Setup Transactions in OMNI FACET Common Issues #12;Cost Sharing Policy http://www.research.fsu.edu/contractsgra nts ­ Not quantified ­ Do not have to account for and report #12;Cost Sharing Procedures http

McQuade, D. Tyler

120

DOEs New Cost-Effectiveness Tool Builds the Business Case for Program Administrators  

Broader source: Energy.gov [DOE]

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

Note: This page contains sample records for the topic "input costs twelve" 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

Development of a Measurement and Verification (M&V) Costing Toolkit  

E-Print Network [OSTI]

into two parts, including the cost summary and detailed costing information. Labor costs and weather information spreadsheets are also included in each of the workbooks. DESCRIPTION OF THE TOOLKIT Costing Information Input for the Utility... utility billing analysis across 100s of meters for a large retrofit project, which uses weather data from the National Weather Service (NWS). In this figure it is estimated that the one-time setup will take 4 hours of time at $40 per hour, and ? hour...

Haberl, J. S.; Lewis, T.; Im, P.; Carlson, K. A.; Underwood, D.

2004-01-01T23:59:59.000Z

122

Cost effective lighting  

SciTech Connect (OSTI)

Long-life replacement lamps for the incandescent lamp have been evaluated with regard to their cost effectiveness. The replacements include the use of energy buttons that extend lamp life as well as an adaptive fluorescent circline lamp that will fit into existing incandescent lamp sockets. The initial, operating, and replacement costs for one million lumen-hours are determined for each lamp system. We find the most important lighting cost component is the operating cost. Using lamps that are less efficient or devices that cause lamps to operate less efficiently are not cost-effective. The adaptive fluorescent circline lamp, even at an initial cost of $15.00, is the most cost effective source of illumination compared to the incandescent lamp and lamp systems examined. 3 refs., 6 tabs.

Morse, O.; Verderber, R.

1987-07-01T23:59:59.000Z

123

Cost Model for Digital Curation: Cost of Digital Migration  

E-Print Network [OSTI]

Steece, B. 2000. Software cost estimation with COCOMO II.Developing a Framework of Cost Elements for PreservingAshley, K. 1999. Digital archive costs: Facts and fallacies.

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

2009-01-01T23:59:59.000Z

124

Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellations  

E-Print Network [OSTI]

Mercury/Waterfilling: Optimum Power Allocation with Arbitrary Input Constellations Angel Lozano gives the power allocation policy, referred to as mercury/waterfilling, that maximizes the sum mutual

Verdú, Sergio

125

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

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

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...

126

,"New York Natural Gas Input Supplemental Fuels (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2013 ,"Release Date:","1031...

127

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

128

LMFBR fuel component costs  

SciTech Connect (OSTI)

A significant portion of the cost of fabricating LMFBR fuels is in the non-fuel components such as fuel pin cladding, fuel assembly ducts and end fittings. The contribution of these to fuel fabrication costs, based on FFTF experience and extrapolated to large LMFBR fuel loadings, is discussed. The extrapolation considers the expected effects of LMFBR development programs in progress on non-fuel component costs.

Epperson, E.M.; Borisch, R.R.; Rice, L.H.

1981-10-29T23:59:59.000Z

129

Cost analysis guidelines  

SciTech Connect (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

130

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

131

Early Station Costs Questionnaire  

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

of refueling infrastructure costs National Renewable Energy Laboratory Innovation for Our Energy Future Questions for Market Readiness Workshop Attendees * Are these questions the...

132

''When Cost Measures Contradict''  

SciTech Connect (OSTI)

When regulators put forward new economic or regulatory policies, there is a need to compare the costs and benefits of these new policies to existing policies and other alternatives to determine which policy is most cost-effective. For command and control policies, it is quite difficult to compute costs, but for more market-based policies, economists have had a great deal of success employing general equilibrium models to assess a policy's costs. Not all cost measures, however, arrive at the same ranking. Furthermore, cost measures can produce contradictory results for a specific policy. These problems make it difficult for a policy-maker to determine the best policy. For a cost measures to be of value, one would like to be confident of two things. First one wants to be sure whether the policy is a winner or loser. Second, one wants to be confident that a measure produces the correct policy ranking. That is, one wants to have confidence in a policy measure's ability to correctly rank policies from most beneficial to most harmful. This paper analyzes empirically these two properties of different costs measures as they pertain to assessing the costs of the carbon abatement policies, especially the Kyoto Protocol, under alternative assumptions about implementation.

Montgomery, W. D.; Smith, A. E.; Biggar, S. L.; Bernstein, P. M.

2003-05-09T23:59:59.000Z

133

Low Cost, Durable Seal  

Broader source: Energy.gov [DOE]

This presentation, which focuses on low cost, durable seals, was given by George Roberts of UTC Power at a February 2007 meeting on new fuel cell projects.

134

Avoidable waste management costs  

SciTech Connect (OSTI)

This report describes the activity based costing method used to acquire variable (volume dependent or avoidable) waste management cost data for routine operations at Department of Energy (DOE) facilities. Waste volumes from environmental restoration, facility stabilization activities, and legacy waste were specifically excluded from this effort. A core team consisting of Idaho National Engineering Laboratory, Los Alamos National Laboratory, Rocky Flats Environmental Technology Site, and Oak Ridge Reservation developed and piloted the methodology, which can be used to determine avoidable waste management costs. The method developed to gather information was based on activity based costing, which is a common industrial engineering technique. Sites submitted separate flow diagrams that showed the progression of work from activity to activity for each waste type or treatability group. Each activity on a flow diagram was described in a narrative, which detailed the scope of the activity. Labor and material costs based on a unit quantity of waste being processed were then summed to generate a total cost for that flow diagram. Cross-complex values were calculated by determining a weighted average for each waste type or treatability group based on the volume generated. This study will provide DOE and contractors with a better understanding of waste management processes and their associated costs. Other potential benefits include providing cost data for sites to perform consistent cost/benefit analysis of waste minimization and pollution prevention (WMIN/PP) options identified during pollution prevention opportunity assessments and providing a means for prioritizing and allocating limited resources for WMIN/PP.

Hsu, K.; Burns, M.; Priebe, S.; Robinson, P.

1995-01-01T23:59:59.000Z

135

Capturing the impact of fuel price on jet aircraft operating costs with Leontief technology and econometric models  

Science Journals Connector (OSTI)

Investigation of the airline response to a fuel price increase is in effect an investigation of the role of variable interactions in aircraft cost models. We examine the impact of fuel price on aircraft costs and airline operational strategies by developing two classes of operating cost models for jet aircraft and comparing the results. The translog operating cost model is a flexible functional form that provides a detailed representation of the empirical relationship between fuel cost and operating cost, allowing for substitution, scale, aircraft age, and variable interactions to be captured. The simpler Leontief model assumes that inputs of a cost model must be used in fixed proportions regardless of their prices. While it does not capture variable interactions, the Leontief model is more transparent, requires fewer inputs, and allows the contribution of a single factor, such as fuel price, to operating cost to be more easily isolated. An analysis of the translog operating cost model reveals that as fuel price increases, airlines will take steps to use fuel more efficiently by leveraging other inputs; a comparison of the translog and the Leontief technology models, however, show that the potential for this supplier input substitution for fuel is rather modest. By building the two operating cost models and comparing their predictions, we illustrate a method to determine the prediction potential of a Leontief technology model and assess the importance of input substitution at the vehicle level.

Megan Smirti Ryerson; Mark Hansen

2013-01-01T23:59:59.000Z

136

Cost Estimating and Cost Management Capacity Building Workshop  

E-Print Network [OSTI]

Cost Estimating and Cost Management Capacity Building Workshop August 11-13, 2010 Coffman Memorial 574 guidebook on cost estimating and cost management · To learn how states are moving forward with the implementation of the guidebook or other initiatives related to cost estimating and cost management · To share

Minnesota, University of

137

Simple Modular LED Cost Model  

Broader source: Energy.gov [DOE]

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

138

Energy Cost Calculator for Commercial Ice Machines | Department of Energy  

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

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

139

Energy Cost Calculator for Urinals | Department of Energy  

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

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

140

Performance Measures For Input Shaping and Command Generation  

E-Print Network [OSTI]

Performance Measures For Input Shaping and Command Generation Kris Kozak Department of Precision performance measures for input shaping and command generation have appeared in the literature, but very rarely have these measures been critically evaluated or thoroughly discussed. In this paper we review

Singhose, William

Note: This page contains sample records for the topic "input costs twelve" 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

Univariate input models for stochastic simulation , NM Steiger4  

E-Print Network [OSTI]

of the continuous univariate probabilistic input processes that drive discrete-event simulation experiments that accu- rately mimic the behaviour of the random input processes driving the system under study. Often the following interrelated difficulties arise in attempts to use standard distribution families for simulation

142

ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO  

E-Print Network [OSTI]

ADIOS ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO NATIONAL RADIO ASTRONOMY OBSERVATORY TABLES ADIOS - ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE COMPUTER TABLE FOR CONTENTS Page I Module and Apple Card (Photograph) Figure 3 Complete Apple/ADIOS System (Photograph) Figure 4 Analog

Groppi, Christopher

143

Soft-Input Soft-Output Sphere Decoding Christoph Studer  

E-Print Network [OSTI]

Soft-Input Soft-Output Sphere Decoding Christoph Studer Integrated Systems Laboratory ETH Zurich Laboratory ETH Zurich, 8092 Zurich, Switzerland Email: boelcskei@nari.ee.ethz.ch Abstract--Soft-input soft, 8092 Zurich, Switzerland Email: studer@iis.ee.ethz.ch Helmut Bölcskei Communication Technology

144

Link: exploiting the web of data to generate test inputs  

Science Journals Connector (OSTI)

Applications that process complex data, such as maps, personal data, book information, travel data, etc., are becoming extremely common. Testing such applications is hard, because they require realistic and coherent test inputs that are expensive to ... Keywords: System testing, Web of data, realistic test input

Leonardo Mariani; Mauro Pezz; Oliviero Riganelli; Mauro Santoro

2014-07-01T23:59:59.000Z

145

Costing climate change  

Science Journals Connector (OSTI)

...Costenergy analyses of such schemes...and tidal power at costs...consider in economic analyses of GHG abatement...pertaining to wind power in Denmark...In a cost analysis of implementing...Cutting coal combustion...large an economic burden...

2002-01-01T23:59:59.000Z

147

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

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

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

148

An Examination of Avoided Costs in Utah  

E-Print Network [OSTI]

existing avoided cost methodology and established thefor certain avoided cost methodologies or avoided cost inpu

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

149

Transmission line capital costs  

SciTech Connect (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

150

Decommissioning Unit Cost Data  

SciTech Connect (OSTI)

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

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

2002-02-26T23:59:59.000Z

151

Energy Tips: Benchmark the Fuel Cost of Steam Generation  

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

152

Income and Cost Analysis: Cooperative Cotton Gins and Cooperative Supply Associations of Texas, Season 1949-50.  

E-Print Network [OSTI]

inputs. The de~ivation of cost estimating equations enables the gin manager to evaluate his own total cost and items of cost in terms of average performance of the whole industry. The gin manager who compares his own costs with standard costs over a...- ard income and costs can evaluate his own net margin situation as to additions or deductions as income is higher or lower than standard and as costs are Power or higher than standard. CONTENTS I I Page Digest 2 "Break-even" Volume-A Concept...

Paulson, W. E.

1955-01-01T23:59:59.000Z

153

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

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

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.

154

Wavelength meter having single mode fiber optics multiplexed inputs  

DOE Patents [OSTI]

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

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

1993-02-23T23:59:59.000Z

155

Wavelength meter having single mode fiber optics multiplexed inputs  

DOE Patents [OSTI]

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

Hackel, Richard P. (Livermore, CA); Paris, Robert D. (San Ramon, CA); Feldman, Mark (Pleasanton, CA)

1993-01-01T23:59:59.000Z

156

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)

157

Estimating Renewable Energy Costs  

Broader source: Energy.gov [DOE]

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

158

Cost Effective Sustainable Housing.  

E-Print Network [OSTI]

??Cost Effective Sustainable Housing The topic of research which was discussed throughout this study was an analysis of sustainable development between single-family and multi-family structures. (more)

Morton, Joshua

2009-01-01T23:59:59.000Z

159

Cost Estimating Guide  

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

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

2011-05-09T23:59:59.000Z

160

Vehicle Cost Calculator  

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

Annual GHG Emissions (lbs of CO2) Vehicle Cost Calculator See Assumptions and Methodology Back Next U.S. Department of Energy Energy Efficiency and Renewable Energy Get Widget Code...

Note: This page contains sample records for the topic "input costs twelve" 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

Costing climate change  

Science Journals Connector (OSTI)

...even whether man-made greenhouse-gas emissions should...and monetary savings from lighting policy calculated using `Work Energy Smart Lighting Calculator', assuming...reducing energy costs and greenhouse gases. Australian Greenhouse...

2002-01-01T23:59:59.000Z

162

Standard costs for labor  

E-Print Network [OSTI]

STANDARD COSTS FOR LABOR A Thesis By MD. NURUL ABSAR KHAN Submitted to the Graduate School of the Agricultural and Mechanical College of Texms in partial fulfillment of the requirements for the degree of MASTER OF BUSINESS ADMINISTRATION... Administration and the government of East Pakistan. CONTENTS Chapter Page I. Introduction and Prelisd. nary Discussion II. Installation and Accounting Aspects of Standard Costs for Labor III, Recording~ Analysing and Reporting of Labor Vaxlances . 45 IV...

Khan, Mohammed Nurul Absar

2012-06-07T23:59:59.000Z

163

A calendar of the letters of Martin Donisthorpe Armstrong (1882-1974) with an introductory essay, notes, and the texts of twelve hitherto unpublished letters  

E-Print Network [OSTI]

A C~AR OF THE LETIERS OF MARTIN DONISTHORPE ARMSTRONG (1882-1974) WITH AN INIRODUCI'ORY ESSAY, NOTES, AND THE TEXTS OF TWELVE HITHERTO UNPUBLISHED LETTERS A Thesis by Kenneth Allen Womack Submitted to the Office of Graduate Studies of Texas... A&M University in partial fulfillment of the requirements for the degree of MASTER OF ARTS May 1992 Major Subject: English A CALENDAR OF THE LETIERS OF MARTIN DONISTHORPE ARMSTRONG (1882-1974) With an Introductory Essay, Notes, and the Texts...

Womack, Kenneth Allen

1992-01-01T23:59:59.000Z

164

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

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

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

165

Input to the 2012-2021 Strategic Plan  

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

166

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

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

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

167

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

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

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

168

DOE Seeks Industry Input on Nickel Disposition Strategy | Department of  

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

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

169

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

170

Operation of buck regulator with ultra-low input voltage  

E-Print Network [OSTI]

Based on the LTC3621 and LTC3624, the designed buck regulator proposed in this thesis aims to lower the allowed input voltage and increase efficiency compared to the original part without making significant changes to ...

Harris, Cory Angelo

2014-01-01T23:59:59.000Z

171

Data sheet acquired from Harris Semiconductor Buffered Inputs  

E-Print Network [OSTI]

1 Data sheet acquired from Harris Semiconductor SCHS121D Features · Buffered Inputs · Typical. The suffixes 96 and R denote tape and reel. The suffix T denotes a small-quantity reel of 250. CAUTION

Kretchmar, R. Matthew

172

Automatic testing of software with structurally complex inputs  

E-Print Network [OSTI]

Modern software pervasively uses structurally complex data such as linked data structures. The standard approach to generating test suites for such software, manual generation of the inputs in the suite, is tedious and ...

Marinov, Darko, 1976-

2005-01-01T23:59:59.000Z

173

Face Interface : a methodology for experimental learning of input modalities  

E-Print Network [OSTI]

This thesis demonstrates that creating a system with a visual representation of the face which mirrors the user's facial gestures appears to solve problems in teaching a user to use the new input affordances of face-based ...

Wetzel, Jon William

2007-01-01T23:59:59.000Z

174

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

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

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:

175

Tokamak reactor cost model based on STARFIRE/WILDCAT costing  

SciTech Connect (OSTI)

A cost model is presented which is useful for survey and comparative studies of tokamak reactors. The model is heavily based on STARFIRE and WILDCAT costing guidelines, philosophies, and procedures and reproduces the costing for these devices quite accurately.

Evans, K. Jr.

1983-03-01T23:59:59.000Z

176

Charged-Particle Thermonuclear Reaction Rates: III. Nuclear Physics Input  

E-Print Network [OSTI]

The nuclear physics input used to compute the Monte Carlo reaction rates and probability density functions that are tabulated in the second paper of this series (Paper II) is presented. Specifically, we publish the input files to the Monte Carlo reaction rate code RatesMC, which is based on the formalism presented in the first paper of this series (Paper I). This data base contains overwhelmingly experimental nuclear physics information. The survey of literature for this review was concluded in November 2009.

Christian Iliadis; Richard Longland; Art Champagne; Alain Coc

2010-04-23T23:59:59.000Z

177

Low-Cost "Vacuum Desiccator"  

Science Journals Connector (OSTI)

Low-Cost "Vacuum Desiccator" ... Described are individualized, low-cost, and safe desiccators that can be efficiently and rapidly made with an inexpensive kitchen aid sold for shrink-wrapping food. ... Cost-Effective Teacher ...

Frederick Sweet

2004-10-01T23:59:59.000Z

178

Factors Impacting Decommissioning Costs - 13576  

SciTech Connect (OSTI)

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

Kim, Karen; McGrath, Richard [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)] [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)

2013-07-01T23:59:59.000Z

179

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

180

Sunk Costs and Competitive Bidding  

E-Print Network [OSTI]

SUNK COSTS AND COMPETITIVE BIDDING Kenneth R. FrenchRevised: November 1982 SUNK COSTS AND COMPETITIVE BIDDINGl the winning bid be? I f sunk costs do not matter, I f the

French, Kenneth R.; McCormick, Robert E.

1982-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "input costs twelve" 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

Assigning research and development costs  

E-Print Network [OSTI]

and Development Cost Components RESEARCH AND DEVELOPMENT COSTS IN FINANCIAL STATEMENTS . 10 Capitalization Basis for Reporting Research and Development Costs Revenue Basis for Reporting Research and Development Costs Reasons Why Most Companies Expense... PRACTICE WITH ACCOUNTING THEORY Unknown Results at the End of an Accounting Period Uncertain Useful Life of Results. . . . . . . . . . . . . Recurrence of Annual Costs Permissive Feature of the Internal Revenue Code Uniform Amounts of Annual Costs...

Edwards, Wendell Edward

2012-06-07T23:59:59.000Z

182

INDEPENDENT COST REVIEW (ICR)  

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

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

183

INDEPENDENT COST REVIEW (ICR)  

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

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

184

Power Plant Cycling Costs  

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

185

Cost Controls Pay Off Big  

Science Journals Connector (OSTI)

Cost Controls Pay Off Big ... Biggest plus was the general improvement in the economy; but to this must be added successful efforts by industry to control costs. ...

1959-02-16T23:59:59.000Z

186

SunShot Initiative: Low-Cost Heliostat Development  

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

187

Federal Energy Management Program: Energy and Cost Savings Calculators for  

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

188

Argonne CNM Highlight: Deciphering Uncertainties in the Cost of Solar  

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

189

Low Cost, Durable Seal  

SciTech Connect (OSTI)

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

190

Cost Type Examples Salary costs for staff working  

E-Print Network [OSTI]

Cost Type Examples Salary costs for staff working on the grant Fellows, research assistants by the technician can be supported by a verifiable audit trail. Specialist consultancy fees Recruitment costs Staff recruitment and advertising costs, including interviewee travel. Materials & consumables Laboratory chemicals

Rambaut, Andrew

191

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 fiber reinforced composites have enjoyed limited acceptance in the automotive industry due to high costs to bond with composite matrix material. It is important that a carbon fiber manufacturing cost model

192

Estimating SCR installation costs  

SciTech Connect (OSTI)

The EUCG surveyed 72 separate US installations of selective catalytic reduction (SCR) systems at coal-fired units totalling 41 GW of capacity to identify the systems' major cost drivers. The results, summarized in this article, provide excellent first-order estimates and guidance for utilities considering installing the downstream emissions-control technology. 4 figs., 1 tab.

Marano, M.; Sharp, G. [American Electric Power (United States)

2006-01-15T23:59:59.000Z

193

Invoice Statement of Cost Cost Type/Cost Share UT-B Contracts Div Page 1 of 1  

E-Print Network [OSTI]

Invoice Statement of Cost ­ Cost Type/Cost Share UT-B Contracts Div Aug 2009 Page 1 of 1 invoice-state-cost-ext-venx-aug09 Company Name: Statement of Amounts Claimed Invoice Number: Statement of Cost ­ Cost Type/Cost Cost Subcontractor Cost Job Title Name Current Hours Rate Current Amount Cumulative Hours Cumulative

Pennycook, Steve

194

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

195

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 &

196

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)

197

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 &

198

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

199

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 &

200

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

Note: This page contains sample records for the topic "input costs twelve" 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

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 &

202

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 &

203

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 &

204

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

205

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

206

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 &

207

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

208

Formalization of computer input and output: the Hadley model  

Science Journals Connector (OSTI)

Current digital evidence acquisition tools are effective, but are tested rather than formally proven correct. We assert that the forensics community will benefit in evidentiary ways and the scientific community will benefit in practical ways by moving beyond simple testing of systems to a formal model. To this end, we present a hierarchical model of peripheral input to and output from von Neumann computers, patterned after the Open Systems Interconnection model of networking. The Hadley model categorizes all components of peripheral input and output in terms of data flow; with constructive aspects concentrated in the data flow between primary memory and the computer sides of peripherals' interfaces. The constructive domain of Hadley is eventually expandable to all areas of the I/O hierarchy, allowing for a full view of peripheral input and output and enhancing the forensics community's capabilities to analyze, obtain, and give evidentiary force to data.

Matthew Gerber; John Leeson

2004-01-01T23:59:59.000Z

209

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 &

210

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 &

211

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

212

Robust Cost Colorings Takuro Fukunaga  

E-Print Network [OSTI]

Robust Cost Colorings Takuro Fukunaga Magn´us M. Halld´orsson Hiroshi Nagamochi Abstract We consider graph coloring problems where the cost of a coloring is the sum of the costs of the colors, and the cost of a color is a monotone concave function of the total weight of the class. This models resource

Halldórsson, Magnús M.

213

Cost Estimates for New Molecules  

Science Journals Connector (OSTI)

Cost Estimates for New Molecules ... Once this has been carried out, the projected cost/kilogram for the new drug substance (if only raw material costs and no manufacturing/overhead/labour costs are considered) may well come down by a factor of 10 or even 100, and this is often more acceptable to management trying to make strategic decisions about potential profitability. ...

Trevor Laird

2005-02-22T23:59:59.000Z

214

Cost Sharing Why and How  

E-Print Network [OSTI]

Cost Sharing Why and How Trudy M. Riley Assistant Provost, Research Administration Susan M. Tkachick Sponsored Research Accountant $ Research Office #12;Research Office AGENDA What is Cost Sharing Why Cost Share What is Allowable Managing Cost Sharing during the life of the project What happens

Firestone, Jeremy

215

7 - Cost-Efficiency Evaluation  

Science Journals Connector (OSTI)

The purpose of cost-efficiency evaluations is to make the connection between cost and outcomes. Using methods like cost-benefit analysis and cost-effective analysis, this allows evaluators to provide the most complete information. The information may be used to make better decisions about implementation or continuing a program.

Gennaro F. Vito; George E. Higgins

2015-01-01T23:59:59.000Z

216

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

217

Cost Estimating, Analysis, and Standardization  

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

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

1984-11-02T23:59:59.000Z

218

Cost Study Manual | Department of Energy  

Energy Savers [EERE]

Cost Study Manual Cost Study Manual Update 62912. Memo regarding Cost Study Manual Cost Study Manual More Documents & Publications Policy Flash 2013-62 Acquisition Letter 09 -...

219

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)

220

Tight gas sands study breaks down drilling and completion costs  

SciTech Connect (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

Note: This page contains sample records for the topic "input costs twelve" 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

Developing prototype indicators of value and costs added through public involvement programs  

SciTech Connect (OSTI)

As more managers realize that public input in public sector decision making is a given in the current political and social climate, many are turning to public involvement (PI) as a way to manage the input so that it is beneficial to their decisions and projects. Public involvement is starting to become a familiar way of doing business for the Department of Energy (DOE) and its contractors. DOE and contractors are still unclear about the value and costs that PI can provide to their projects. Proponents claim that PI increases the acceptability of project goals by increasing stakeholders knowledge about and involvement in decisions of importance to them. In spite of these assertions avowing the benefits of PI, proponents have not generated methods that demonstrate or provide evidence of the value added through incorporating PI into projects. As DOE and contract managers are increasingly directed to incorporate public input in their project planning and decision making, questions are beginning to surface about the value and costs of PI as a way to manage that input. There is a pressing need to document the value and costs of PI for the participants in these processes--the stakeholders--and to present this information to decision makers in a way that helps them assess the value and costs of managing public input through a PI program. This research project focuses on developing a series of indicators to assess the value and costs of using public involvement programs to manage public input in decision making processes. The dimensions of public involvement that participants perceive as adding value or costs to projects; and developing ways to measure those dimensions through social indicators and metrics of behavior are outlined.

Lach, D.; Hixson, P.; Silbernagel, M.; Branch, K.; Heerwagen, J.; Bradbury, J.

1995-01-01T23:59:59.000Z

222

FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS,  

E-Print Network [OSTI]

FULL FUEL CYCLE ASSESSMENT WELL TO TANK ENERGY INPUTS, EMISSIONS, AND WATER IMPACTS Prepared For be divided into two parts: · Well-to-Tank (WTT) Feedstock extraction, transport, storage, processing, distribution, transport, and storage · Tank-to-Wheels (TTW) Refueling, consumption and evaporation The full

223

"Why Are Some Firms More Innovative? Knowledge Inputs, Knowledge Stocks,  

E-Print Network [OSTI]

"Why Are Some Firms More Innovative? Knowledge Inputs, Knowledge Stocks, and the Role of Global, Exporting, Knowledge and Technological Change Abstract Why do some firms create more knowledge than others stock of knowledge. But there is very little empirical evidence on production functions for new ideas

Sadoulet, Elisabeth

224

Fast RNA Structure Alignment for Crossing Input Rolf Backofena  

E-Print Network [OSTI]

is to predict for every input sequence the minimum free-energy non-crossing structure (in O(n3 ) time function. Since the structure of RNA is evolu- tionarily more conserved than its sequence, predicting a folding with minimal free energy [5, 6, 7, 8, 9]. Albeit this so-named thermodynamic approach is a success

Tsur, Dekel

225

Input to review of STFC UK Nuclear Physics Community  

E-Print Network [OSTI]

Input to review of STFC UK Nuclear Physics Community Introduction STFC covers essentially and project funding for Astronomy, Nuclear Physics, Particle Physics and Space Science Since STFC was formed programme. Grant funding Nuclear Physics grant funding was in EPSRC until 2007 and then moved to STFC

Crowther, Paul

226

Global sensitivity analysis of computer models with functional inputs  

E-Print Network [OSTI]

function. Lastly, the new methodology is applied to an industrial computer code that simulates the nuclear with scalar input variables. For example, in the nuclear engineering domain, global SA tools have been applied (Helton et al. [7]), environmental model of dose calculations (Iooss et al. [10]), reactor dosimetry

Boyer, Edmond

227

Toward a Theory of Input Acceptance for Transactional Memories  

E-Print Network [OSTI]

-core architectures requires numerous events to be treated upon reception. In fact, the transactional code executed, experimental validation compares the presented TM designs in terms of input acceptance with realistic workloads database systems transac- tional events can be buffered on the server-side before treatment

Guerraoui, Rachid

228

The Matrix Converter Drive Performance Under Abnormal Input Voltage Conditions  

E-Print Network [OSTI]

that generates variable magnitude variable frequency output voltage from the ac utility line. It has high power voltage disturbance related performance issues of the MC drive. Since the MC is a direct frequencyThe Matrix Converter Drive Performance Under Abnormal Input Voltage Conditions Jun-Koo Kang

Hava, Ahmet

229

Residential photovoltaic systems costs  

SciTech Connect (OSTI)

A study of costs associated with the installation and operation of a residential photovoltaic system has been conducted to determine present and projected (1986) status. As a basis for the study, a residential photovoltaic system design projected for 1986 was assumed, consisting of two principal components: a roof-mounted array and a utility-interactive inverter. The scope of the study encompassed both silicon and cadmium sulfide photovoltaic modules. Cost estimates were obtained by a survey and study of reports generated by companies and agencies presently active in each of the subsystem area. Where necessary, supplemental estimates were established as part of this study. The range of estimates for silicon-based systems strongly suggest that such systems will be competitive for new installations and reasonably competitive for retrofit applications. The cadmium-sulfide-based system cost estimates, which are less certain than those for silicon, indicate that these systems will be marginally competitive with silicon-based systems for new construction, but not competitive for retrofit applications. Significant variations from the DOE system price sub-goals were found, however, particularly in the areas of array mounting, wiring and cleaning. Additional development work appears needed in these areas.

Cox, C.H. III

1980-01-01T23:59:59.000Z

230

Estimation and decomposition of cost efficiency in the health care food service sector: an extended stochastic frontier approach  

Science Journals Connector (OSTI)

......full-time employees, energy cost, capital, overheads), outputs (number of meals...ln qi , ln wi ; ) - vi /r]. Actual expenditure exceeds minimum cost for either or both...variables because the third input variable (capital) and the environmental variables were......

A. Assaf; K. M. Matawie

2008-01-01T23:59:59.000Z

231

Low Cost Radio Telescope  

Science Journals Connector (OSTI)

A radio interferometer has been constructed at Haverford College as an aid to learning the fundamentals of radio astronomy. Its cost both in cash outlay and in construction time make it a feasible year-long project for an undergraduate. Its simplicity does not prevent it from being a useful instrument for instruction at the college or high-school level; among its capabilities are the measurement of the positions of at least four of the strongest discrete cosmic-noisesources and the diameter of the radio sun.

Joseph H. Taylor Jr.

1964-01-01T23:59:59.000Z

232

Wood pellets production costs and energy consumption under different framework conditions in Northeast Argentina  

Science Journals Connector (OSTI)

The development of cleaner and renewable energy sources are needed in order to reduce dependency and global warming. Wood pellets are a clean renewable fuel and has been considered as one of the substitutes for fossil fuels. In Argentina, large quantities of sawmill residues are still unused and wood pellets production could be seen as both, as an environmental solution and an extra economical benefit. The general aim of this study was to determine the wood pellets production costs and energy consumption under different framework conditions in northeast Argentina. The specific costs of wood pellets for the different scenarios showed relative lower costs comparing to the ones reported in other studies, ranging from 35 to 47 /Mgpellets. Raw material costs represented the main cost factor in the calculation of the total pellets production costs. A lower specific production cost was observed when 50% of the raw material input was wood shavings. The specific electricity consumption per metric ton of pellet was lower in scenarios with higher production rate. Lower heat energy consumption was observed in scenarios that have a mixed raw material input. The most promising framework condition for Northeast Argentina, in terms of costs effectiveness and energy consumption could be acquired with production rates of 6Mg/h with sawdust and wood shavings as raw material. However, simultaneous increment of the electricity by 50% and raw material price by 100% may increase the specific costs up to 50%.

Augusto Uasuf; Gero Becker

2011-01-01T23:59:59.000Z

233

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

234

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

235

Wind Integration Cost and Cost-Causation: Preprint  

SciTech Connect (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

236

Reducing LED Costs Through Innovation  

Broader source: Energy.gov [DOE]

A Wisconsin-based company is developing an innovative way to reduce manufacturing costs of light-emitting diodes (LEDs).

237

Documentation of Calculation Methodology, Input Data, and Infrastructure  

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

238

Environmental Transport Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment for the license application (TSPA-LA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA-LA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]) (TWP). This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA). This report is one of the five reports that develop input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the conceptual model and the mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed description of the model input parameters. The output of this report is used as direct input in the ''Nominal Performance Biosphere Dose Conversion Factor Analysis'' and in the ''Disruptive Event Biosphere Dose Conversion Factor Analysis'' that calculate the values of biosphere dose conversion factors (BDCFs) for the groundwater and volcanic ash exposure scenarios, respectively. The purpose of this analysis was to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or in volcanic ash). The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]).

M. Wasiolek

2004-09-10T23:59:59.000Z

239

Inhalation Exposure Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis is one of 10 reports that support the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN) biosphere model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the conceptual model as well as the mathematical model and its input parameters. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading 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 a Yucca Mountain repository. Inhalation Exposure Input Parameters for the Biosphere Model is one of five reports that develop input parameters for the biosphere model. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the plan for development of the biosphere abstraction products for TSPA, as identified in the Technical Work Plan for Biosphere Modeling and Expert Support (BSC 2004 [DIRS 169573]). This analysis report defines and justifies values of mass loading for the biosphere model. Mass loading is the total mass concentration of resuspended particles (e.g., dust, ash) in a volume of air. Mass loading values are used in the air submodel of ERMYN to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in air surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed from uptake by foliar interception.

K. Rautenstrauch

2004-09-10T23:59:59.000Z

240

Twelve years of Wikipedia research  

Science Journals Connector (OSTI)

Wikipedia was formally launched in 2001, but the first research papers mentioning it appeared only in 2002. Since then it raised a huge amount of interest in the research community. At first mainly the content creation processes and the quality of the ... Keywords: analysis, longitudinal trends, wikipedia

Judit Bar-Ilan, Noa Aharony

2014-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "input costs twelve" 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

Cost Effectiveness NW Energy Coalition  

E-Print Network [OSTI]

1 Action 8 Cost Effectiveness Manual Kim Drury NW Energy Coalition Context · Inconsistent understanding of cost effectiveness contributed to under performing conservation E.g: individual measures vs at end of 2009 #12;2 The thinking was . . . That a Cost Effectiveness Guide could: · Increase regionally

242

The cost of a bodyguard  

Science Journals Connector (OSTI)

...research-article Animal behaviour 1001 60 70 14 The cost of a bodyguard Fanny Maure 1 2 * Jacques...benefits of host manipulation and their costs to fitness-related traits, such as longevity...study provides the first evidence of a cost required for manipulating host behaviour...

2011-01-01T23:59:59.000Z

243

Check Estimates and Independent Costs  

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

Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

1997-03-28T23:59:59.000Z

244

ROC curves in cost space  

Science Journals Connector (OSTI)

ROC curves and cost curves are two popular ways of visualising classifier performance, finding appropriate thresholds according to the operating condition, and deriving useful aggregated measures such as the area under the ROC curve (AUC) or ... Keywords: Area Under the ROC Curve (AUC), Cost curves, Cost-sensitive evaluation, Kendall tau distance, Operating condition, ROC curves, Ranking performance

Jos Hernndez-Orallo; Peter Flach; Csar Ferri

2013-10-01T23:59:59.000Z

245

Historical pipeline construction cost analysis  

Science Journals Connector (OSTI)

This study aims to provide a reference for the pipeline construction cost, by analysing individual pipeline cost components with historical pipeline cost data. Cost data of 412 pipelines recorded between 1992 and 2008 in the Oil and Gas Journal are collected and adjusted to 2008 dollars with the chemical engineering plant cost index (CEPCI). The distribution and share of these 412 pipeline cost components are assessed based on pipeline diameter, pipeline length, pipeline capacity, the year of completion, locations of pipelines. The share of material and labour cost dominates the pipeline construction cost, which is about 71% of the total cost. In addition, the learning curve analysis is conducted to attain learning rate with respect to pipeline material and labour costs for different groups. Results show that learning rate and construction cost are varied by pipeline diameters, pipeline lengths, locations of pipelines and other factors. This study also investigates the causes of pipeline construction cost differences among different groups. [Received: October 13, 2010; Accepted: December 20, 2010

Zhenhua Rui; Paul A. Metz; Doug B. Reynolds; Gang Chen; Xiyu Zhou

2011-01-01T23:59:59.000Z

246

Design of an input filter for power factor correction (PFC) AC to DC converters employing an active ripple cancellation  

SciTech Connect (OSTI)

An active input filter for power factor correction (PFC) circuit employing ripple current cancellation is proposed to reduce the filter`s size and cost.Switching ripple current can be filtered by an active circuit from the line current. A single stage passive filter with the active filter compensation circuit, a high filter can be synthesized to meet the electromagnetic interference (EMI) and power factor requirements. Analysis of the active filter and design procedure are detailed. Simulation result is presented to verify the high order filter characteristics of proposed scheme.

Lee, D.Y.; Cho, B.H. [Seoul National Univ. (Korea, Republic of). Electrical Engineering Dept.

1996-12-31T23:59:59.000Z

247

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

248

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 &

249

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

250

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

251

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 &

252

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 &

253

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 &

254

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

255

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

256

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

257

COST-EFFECTIVE TARGET FABRICATION FOR INERTIAL FUSION ENERGY  

SciTech Connect (OSTI)

A central feature of an Inertial Fusion Energy (IFE) power plant is a target that has been compressed and heated to fusion conditions by the energy input of the driver. The IFE target fabrication programs are focusing on methods that will scale to mass production, and working closely with target designers to make material selections that will satisfy a wide range of required and desirable characteristics. Targets produced for current inertial confinement fusion experiments are estimated to cost about $2500 each. Design studies of cost-effective power production from laser and heavy-ion driven IFE have found a cost requirement of about $0.25-0.30 each. While four orders of magnitude cost reduction may seem at first to be nearly impossible, there are many factors that suggest this is achievable. This paper summarizes the paradigm shifts in target fabrication methodologies that will be needed to economically supply targets and presents the results of ''nth-of-a-kind'' plant layouts and concepts for IFE power plant fueling. Our engineering studies estimate the cost of the target supply in a fusion economy, and show that costs are within the range of commercial feasibility for laser-driven and for heavy ion driven IFE.

GOODIN,D.T; NOBILE,A; SCHROEN,D.G; MAXWELL,J.L; RICKMAN,W.S

2004-03-01T23:59:59.000Z

258

Retail Infrastructure Costs Comparison for Hydrogen and Electricity for Light-Duty Vehicles: Preprint  

SciTech Connect (OSTI)

Both hydrogen and plug-in electric vehicles offer significant social benefits to enhance energy security and reduce criteria and greenhouse gas emissions from the transportation sector. However, the rollout of electric vehicle supply equipment (EVSE) and hydrogen retail stations (HRS) requires substantial investments with high risks due to many uncertainties. We compare retail infrastructure costs on a common basis - cost per mile, assuming fueling service to 10% of all light-duty vehicles in a typical 1.5 million person city in 2025. Our analysis considers three HRS sizes, four distinct types of EVSE and two distinct EVSE scenarios. EVSE station costs, including equipment and installation, are assumed to be 15% less than today's costs. We find that levelized retail capital costs per mile are essentially indistinguishable given the uncertainty and variability around input assumptions. Total fuel costs per mile for battery electric vehicle (BEV) and plug-in hybrid vehicle (PHEV) are, respectively, 21% lower and 13% lower than that for hydrogen fuel cell electric vehicle (FCEV) under the home-dominant scenario. Including fuel economies and vehicle costs makes FCEVs and BEVs comparable in terms of costs per mile, and PHEVs are about 10% less than FCEVs and BEVs. To account for geographic variability in energy prices and hydrogen delivery costs, we use the Scenario Evaluation, Regionalization and Analysis (SERA) model and confirm the aforementioned estimate of cost per mile, nationally averaged, but see a 15% variability in regional costs of FCEVs and a 5% variability in regional costs for BEVs.

Melaina, M.; Sun, Y.; Bush, B.

2014-08-01T23:59:59.000Z

259

COST SHARING Cost sharing is the portion of total project costs of a sponsored agreement that is not bourn by  

E-Print Network [OSTI]

1 COST SHARING Cost sharing is the portion of total project costs of a sponsored agreement. There are primarily three types of cost sharing that may occur on sponsored projects: Mandatory cost sharing. For example, the National Science Foundation requires mandatory cost sharing for some of its projects. COST

Cui, Yan

260

17.2 - Cost Participation  

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

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

Note: This page contains sample records for the topic "input costs twelve" 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

Realistic costs of carbon capture  

SciTech Connect (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

262

Geothermal materials project input for conversion technology task  

SciTech Connect (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

263

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

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

264

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"

265

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

266

LIFE CYCLE COST HANDBOOK Guidance for Life Cycle Cost Estimation...  

Office of Environmental Management (EM)

of the parts of a cost estimate (those elements not truly independent of each other in terms of their accuracy and expected values), consider evaluating certain elements as...

267

Characterization of industrial process waste heat and input heat streams  

SciTech Connect (OSTI)

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

268

A comparative study of avionics control input methods  

E-Print Network [OSTI]

Standardization of avionics locations in early models of small general aviation aircraft was almost non-existent, due largely to limited panel space and lack of human engineering considerations. Aircraft were typically purchased with a limited avionics package... Major Subject: Industrial Engineering A COMPARATIVE STUDY OF AVIONICS CONTROL INPUT METHODS A Thesis by JOHN ROBERT BARBER, JR. Approved as to style and content by: C airman of C ittee Dr. R. Dale H ingson Co-ch i n Dr. Rodger J. Koppa Member...

Barber, John Robert

1984-01-01T23:59:59.000Z

269

Inhalation Exposure Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis is one of the technical reports that support the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), referred to in this report as the biosphere model. ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the conceptual model as well as the mathematical model and its input parameters. This report documents development of input parameters for the biosphere model that are related to atmospheric mass loading 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 a Yucca Mountain repository. ''Inhalation Exposure Input Parameters for the Biosphere Model'' is one of five reports that develop input parameters for the biosphere model. A graphical representation of the documentation hierarchy for the biosphere model is presented in Figure 1-1 (based on BSC 2006 [DIRS 176938]). This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and how this analysis report contributes to biosphere modeling. This analysis report defines and justifies values of atmospheric mass loading for the biosphere model. Mass loading is the total mass concentration of resuspended particles (e.g., dust, ash) in a volume of air. Mass loading values are used in the air submodel of the biosphere model to calculate concentrations of radionuclides in air inhaled by a receptor and concentrations in air surrounding crops. Concentrations in air to which the receptor is exposed are then used in the inhalation submodel to calculate the dose contribution to the receptor from inhalation of contaminated airborne particles. Concentrations in air surrounding plants are used in the plant submodel to calculate the concentrations of radionuclides in foodstuffs contributed from uptake by foliar interception. This report is concerned primarily with the physical attributes of airborne particulate matter, such as the airborne concentrations of particles and their sizes. The conditions of receptor exposure (duration of exposure in various microenvironments), breathing rates, and dosimetry of inhaled particulates are discussed in more detail in ''Characteristics of the Receptor for the Biosphere Model'' (BSC 2005 [DIRS 172827]).

M. Wasiolek

2006-06-05T23:59:59.000Z

270

Year Average Transportation Cost of Coal  

Gasoline and Diesel Fuel Update (EIA)

delivered costs of coal, by year and primary transport mode Year Average Transportation Cost of Coal (Dollars per Ton) Average Delivered Cost of Coal (Dollars per Ton)...

271

Project Cost Profile Spreadsheet | Department of Energy  

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

Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet.xlsx More Documents & Publications Statement of Work (SOW) Template (Combined...

272

EGov PMA Scorecard Cost, Schedule & Performance Standard...  

Energy Savers [EERE]

EGov PMA Scorecard Cost, Schedule & Performance Standard.tif EGov PMA Scorecard Cost, Schedule & Performance Standard.tif EGov PMA Scorecard Cost, Schedule &...

273

Hydrogen Threshold Cost Calculation | Department of Energy  

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

Hydrogen Threshold Cost Calculation Hydrogen Threshold Cost Calculation DOE Hydrogen Program Record number11007, Hydrogen Threshold Cost Calculation, documents the methodology and...

274

High Energy Cost Grants | Department of Energy  

Energy Savers [EERE]

High Energy Cost Grants High Energy Cost Grants The High Energy Cost Grant Program provides financial assistance for the improvement of energy generation, transmission, and...

275

An Examination of Avoided Costs in Utah  

E-Print Network [OSTI]

Subject An Examination of Avoided Costs in Utah Date Januarystate by seeking changes to the avoided cost tariff paid tomethod of calculating avoided costs that has been officially

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

276

US Nuclear Regulatory Commission Input to DOE Request for Information Smart  

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

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

277

Residential oil burners with low input and two stages firing  

SciTech Connect (OSTI)

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

278

Heat transfer analysis in Stirling engine heat input system  

SciTech Connect (OSTI)

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

Chung, W.; Kim, S. [LG Electronics Inc., Seoul (Korea, Republic of). Living System Lab.

1995-12-31T23:59:59.000Z

279

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...

280

Turfgrass: Maintenance Costs in Texas.  

E-Print Network [OSTI]

LAW FOR VARIOUS M-AINTENANCE ITEMS BASED ON O\\!'\\'S. ERSHIP AND TYPE OF GRASS WITHIN EACH REGION Maintenance items TY PC Percent Lot size, Region of oz;r- of lawns square Com~osty Fertilizer Chemicals Water Average grass in region feet cost cost... LAW FOR VARIOUS M-AINTENANCE ITEMS BASED ON O\\!'\\'S. ERSHIP AND TYPE OF GRASS WITHIN EACH REGION Maintenance items TY PC Percent Lot size, Region of oz;r- of lawns square Com~osty Fertilizer Chemicals Water Average grass in region feet cost cost...

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

1964-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "input costs twelve" 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

Reviewing electricity generation cost assessments.  

E-Print Network [OSTI]

?? Studies assessing the electricity generation cost of various power generating technologies are becoming increasingly common and references to such studies can often be heard (more)

Larsson, Simon

2012-01-01T23:59:59.000Z

282

Building Life Cycle Cost Programs  

Broader source: Energy.gov [DOE]

The National Institute of Standards and Technology (NIST) developed the Building Life Cycle Cost (BLCC) Program to provide computational support for the analysis of capital investments in buildings.

283

Lower Cost Carbon Fiber Precursors  

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

performing fiber. (600-750 KSI) Barriers: Addresses the need for higher performance low cost fiber for hydrogen storage tanks and energy management structures of automobiles....

284

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...

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

1987-01-01T23:59:59.000Z

285

Costs of Storing and Transporting Hydrogen  

Broader source: Energy.gov [DOE]

An analysis was performed to estimate the costs associated with storing and transporting hydrogen. These costs can be added to a hydrogen production cost to determine the total delivered cost of hydrogen.

286

A low cost ECL-bus multiplexer: bus switch  

Science Journals Connector (OSTI)

A fast low cost ECL differential bus multiplexer, Bus Switch (BS), has been constructed as a single CAMAC unit. It has been designed with two strobed 16-bit latches to capture and hold two 16-bit input ECL data words. Its design has foreseen the possibility of connecting 16-bit differential ECL outputs of many BS modules to the same bus. Its simplicity and flexibility make it a useful element for all kind of acquisition systems. It will be used, for example, in the first level trigger of the L3 experiment at LEP.

F. Cesaroni; E. Gennari; S. Gentile; P. Pacchiarotti

1987-01-01T23:59:59.000Z

287

Fast RNA Structure Alignment for Crossing Input Rolf Backofena  

E-Print Network [OSTI]

$5.9 B $7.5 B $4.3 B $7.1 B $7.0 B $9.3 B #12;Utah Oil and Gas Conservation Act · Established in 1955 are required ­ Bond ­ standardized unit cost of disturbance · Small Mines ­ less than 10 acres (in unincorporated areas) ­ Mining, hauling, and processing ­ Applications are 6-7 pages in length ­ Minimum of two

Will, Sebastian

288

Soil-related Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the geologic repository at Yucca Mountain. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A graphical representation of the documentation hierarchy for the ERMYN biosphere model is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the plan for development of the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (BSC 2003 [163602]). It should be noted that some documents identified in Figure 1-1 may be under development at the time this report is issued and therefore not available. This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. ''The Biosphere Model Report'' (BSC 2003 [160699]) describes in detail the conceptual model as well as the mathematical model and its input parameters. The purpose of this analysis was to develop the biosphere model parameters needed to evaluate doses from pathways associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation and ash deposition and, as a direct consequence, radionuclide concentration in resuspended particulate matter in the atmosphere. The analysis was performed in accordance with the technical work plan for the biosphere modeling and expert support (TWP) (BSC 2003 [163602]). This analysis revises the previous one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [152517]). In REV 00 of this report, the data generated were fixed (i.e., taking no account of uncertainty and variability) values. This revision incorporates uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content.

A. J. Smith

2003-07-02T23:59:59.000Z

289

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

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

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

290

Use of Cost Estimating Relationships  

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

Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.

1997-03-28T23:59:59.000Z

291

The future costs of energy  

Science Journals Connector (OSTI)

...2002 GDP per capita: Argentina...15 000 in GDP per capita, then a...afford higher energy cost? Or, should we demand OPEC countries...15 000 in GDP per capita, then a...afford higher energy cost? Or, should we demand OPEC countries...

Matthew R. Simmons

292

Hay Harvesting Costs $$$$$ in Texas.  

E-Print Network [OSTI]

.............. .. ................. 6 LOOSE HAY STACKING ................................... 7 Tractor-Mounted (Front-End Loader) Hay Stacking Equipment .......... .... ............. 8 Fixed Costs ............................................................ 8 Operating Costs..., there is no economic advantage to At least two tractors are usually needed for baling. Most livestock producers who use custom balers will probably have to buy another tractor. This machine may be used for other operations, but the equivalent of one full...

Long, James T.; Taylor, Wayne D.

1972-01-01T23:59:59.000Z

293

Soil-Related Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This report presents one of the analyses that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the details of the conceptual model as well as the mathematical model and the required input parameters. The biosphere model is one of a series of process models supporting the postclosure Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A schematic representation of the documentation flow for the Biosphere input to TSPA is presented in Figure 1-1. This figure shows the evolutionary relationships among the products (i.e., analysis and model reports) developed for biosphere modeling, and the biosphere abstraction products for TSPA, as identified in the ''Technical Work Plan for Biosphere Modeling and Expert Support'' (TWP) (BSC 2004 [DIRS 169573]). This figure is included to provide an understanding of how this analysis report contributes to biosphere modeling in support of the license application, and is not intended to imply that access to the listed documents is required to understand the contents of this report. This report, ''Soil-Related Input Parameters for the Biosphere Model'', is one of the five analysis reports that develop input parameters for use in the ERMYN model. This report is the source documentation for the six biosphere parameters identified in Table 1-1. The purpose of this analysis was to develop the biosphere model parameters associated with the accumulation and depletion of radionuclides in the soil. These parameters support the calculation of radionuclide concentrations in soil from on-going irrigation or ash deposition and, as a direct consequence, radionuclide concentration in other environmental media that are affected by radionuclide concentrations in soil. The analysis was performed in accordance with the TWP (BSC 2004 [DIRS 169573]) where the governing procedure was defined as AP-SIII.9Q, ''Scientific Analyses''. This analysis revises the previous version with the same name (BSC 2003 [DIRS 161239]), which was itself a revision of one titled ''Evaluate Soil/Radionuclide Removal by Erosion and Leaching'' (CRWMS M&O 2001 [DIRS 152517]). In Revision 00 of this report, the data generated were fixed values (i.e., taking no account of uncertainty and variability). Revision 01 (BSC 2003 [DIRS 161239]) incorporated uncertainty and variability into the values for the bulk density, elemental partition coefficients, average annual loss of soil from erosion, resuspension enhancement factor, and field capacity water content. The current revision of this document improves the transparency and traceability of the products without changing the details of the analysis. This analysis report supports the treatment of six of the features, events, and processes (FEPs) applicable to the Yucca Mountain reference biosphere (DTN: MO0407SEPFEPLA.000 [DIRS 170760]). The use of the more recent FEP list in DTN: MO0407SEPFEPLA.000 [DIRS 170760] represents a deviation from the detail provided in the TWP (BSC 2004 [DIRS 169573]), which referenced a previous version of the FEP list. The parameters developed in this report support treatment of these six FEPs addressed in the biosphere model that are listed in Table 1-1. Inclusion and treatment of FEPs in the biosphere model is described in the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460], Section 6.2).

A. J. Smith

2004-09-09T23:59:59.000Z

294

Cost Principles Policy Responsible Office: Cost Analysis Effective Date: November 1, 2013  

E-Print Network [OSTI]

Cost Principles Policy Responsible Office: Cost Analysis Effective Date: November 1, 2013 Last-21, Cost Principles for Educational Institutions and the Cost Accounting Standards Board (CASB)) identify cost accounting policies that must be followed to receive federal awards. These regulations

Jawitz, James W.

295

Entanglement cost of generalised measurements  

E-Print Network [OSTI]

Bipartite entanglement is one of the fundamental quantifiable resources of quantum information theory. We propose a new application of this resource to the theory of quantum measurements. According to Naimark's theorem any rank 1 generalised measurement (POVM) M may be represented as a von Neumann measurement in an extended (tensor product) space of the system plus ancilla. By considering a suitable average of the entanglements of these measurement directions and minimising over all Naimark extensions, we define a notion of entanglement cost E_min(M) of M. We give a constructive means of characterising all Naimark extensions of a given POVM. We identify various classes of POVMs with zero and non-zero cost and explicitly characterise all POVMs in 2 dimensions having zero cost. We prove a constant upper bound on the entanglement cost of any POVM in any dimension. Hence the asymptotic entanglement cost (i.e. the large n limit of the cost of n applications of M, divided by n) is zero for all POVMs. The trine measurement is defined by three rank 1 elements, with directions symmetrically placed around a great circle on the Bloch sphere. We give an analytic expression for its entanglement cost. Defining a normalised cost of any d-dimensional POVM by E_min(M)/log(d), we show (using a combination of analytic and numerical techniques) that the trine measurement is more costly than any other POVM with d>2, or with d=2 and ancilla dimension 2. This strongly suggests that the trine measurement is the most costly of all POVMs.

Richard Jozsa; Masato Koashi; Noah Linden; Sandu Popescu; Stuart Presnell; Dan Shepherd; Andreas Winter

2003-03-27T23:59:59.000Z

296

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

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

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...

297

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

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

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...

298

E-Print Network 3.0 - ac input power Sample Search Results  

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

factor with high total harmonic... input cur- rent shape at near unity power factor. Advantages of the proposed topology are: no dc... as well as input supply variations. Matrix...

299

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

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

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...

300

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

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

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...

Note: This page contains sample records for the topic "input costs twelve" 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

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

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

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

302

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

Science Journals Connector (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

303

Hybrid energy system cost analysis: San Nicolas Island, California  

SciTech Connect (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

304

A Proposed Cost-Benefit Analysis Approach for Evaluating DOE Nuclear  

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

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

305

Time-lag of record inputs to the international nuclear information system bibliographic database  

Science Journals Connector (OSTI)

This paper discusses the timeliness in inputting bibliographical records to international databases with a case study of the international nuclear information system bibliographic database from the inception (1970) to the year 2008. The authors have attempted to calculate the overall and average inputting time-lag of the database. The time-lags of inputting countries and international organisations are analysed separately. The study also tries to identify the nature of inputs that are responsible for this delayed response.

E.R. Prakasan; Nita Bhaskar; K. Bhanumurthy

2011-01-01T23:59:59.000Z

306

Chapter 6 - Subsea Cost Estimation  

Science Journals Connector (OSTI)

Publisher Summary This chapter provides guidelines for cost estimation during a project feasibility study, where the accuracy range is between 30% for subsea field development projects. Subsea cost refers to the cost of the whole project, which generally includes the capital expenditures (CAPEX) and operation expenditures (OPEX) of the subsea field development. The feasibility studies are performed before execution of the project, which may include three phases as shown in the figure: prefield development; conceptual/feasibility study; and front-end engineering design (FEED). Cost estimations are made for several purposes, and the methods used for the estimations as well as the desired amount of accuracy will be different. The cost estimation classifications according to Association for the Advancement of Cost Engineering (AACE): level of project definition: expressed as percentage of complete definition; end usage: typical purpose of estimation; methodology: typical estimating method; expected accuracy range: typical range relative to best index of 1; and preparation effort: typical degree of effort relative to least cost index of 1.

Yong Bai; Qiang Bai

2010-01-01T23:59:59.000Z

307

Geothermal Exploration Cost and Time  

SciTech Connect (OSTI)

The Department of Energys Geothermal Technology Office (GTO) provides RD&D funding for geothermal exploration technologies with the goal of lowering the risks and costs of geothermal development and exploration. The National Renewable Energy Laboratory (NREL) was tasked with developing a metric in 2012 to measure the impacts of this RD&D funding on the cost and time required for exploration activities. The development of this cost and time metric included collecting cost and time data for exploration techniques, creating a baseline suite of exploration techniques to which future exploration cost and time improvements can be compared, and developing an online tool for graphically showing potential project impacts (all available at http://en.openei.org/wiki/Gateway: Geothermal). This paper describes the methodology used to define the baseline exploration suite of techniques (baseline), as well as the approach that was used to create the cost and time data set that populates the baseline. The resulting product, an online tool for measuring impact, and the aggregated cost and time data are available on the Open Energy Information website (OpenEI, http://en.openei.org) for public access. - Published 01/01/2013 by US National Renewable Energy Laboratory NREL.

Scott Jenne

2013-02-13T23:59:59.000Z

308

Energy Cost Calculator for Electric and Gas Water Heaters | Department of  

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

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.

309

Environmental Transport Input Parameters for the Biosphere Model  

SciTech Connect (OSTI)

This analysis report is one of the technical reports documenting the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the geologic repository at Yucca Mountain. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows relationships among the reports developed for biosphere modeling and biosphere abstraction products for the TSPA, as identified in the ''Technical Work Plan: for Biosphere Modeling and Expert Support'' (TWP) (BSC 2003 [163602]). Some documents in Figure 1-1 may be under development and not available when this report is issued. This figure provides an understanding of how this report contributes to biosphere modeling in support of the license application (LA), but access to the listed documents is not required to understand the contents of this report. This report is one of the reports that develops input parameter values for the biosphere model. The ''Biosphere Model Report'' (BSC 2003 [160699]) describes the conceptual model, the mathematical model, and the input parameters. The purpose of this analysis is to develop biosphere model parameter values related to radionuclide transport and accumulation in the environment. These parameters support calculations of radionuclide concentrations in the environmental media (e.g., soil, crops, animal products, and air) resulting from a given radionuclide concentration at the source of contamination (i.e., either in groundwater or volcanic ash). The analysis was performed in accordance with the TWP (BSC 2003 [163602]). This analysis develops values of parameters associated with many features, events, and processes (FEPs) applicable to the reference biosphere (DTN: M00303SEPFEPS2.000 [162452]), which are addressed in the biosphere model (BSC 2003 [160699]). The treatment of these FEPs is described in BSC (2003 [160699], Section 6.2). Parameter values developed in this report, and the related FEPs, are listed in Table 1-1. The relationship between the parameters and FEPs was based on a comparison of the parameter definition and the FEP descriptions as presented in BSC (2003 [160699], Section 6.2). The parameter values developed in this report support the biosphere model and are reflected in the TSPA through the biosphere dose conversion factors (BDCFs). Biosphere modeling focuses on radionuclides screened for the TSPA-LA (BSC 2002 [160059]). The same list of radionuclides is used in this analysis (Section 6.1.4). The analysis considers two human exposure scenarios (groundwater and volcanic ash) and climate change (Section 6.1.5). This analysis combines and revises two previous reports, ''Transfer Coefficient Analysis'' (CRWMS M&O 2000 [152435]) and ''Environmental Transport Parameter Analysis'' (CRWMS M&O 2001 [152434]), because the new ERMYN biosphere model requires a redefined set of input parameters. The scope of this analysis includes providing a technical basis for the selection of radionuclide- and element-specific biosphere parameters (except for Kd) that are important for calculating BDCFs based on the available radionuclide inventory abstraction data. The environmental transport parameter values were developed specifically for use in the biosphere model and may not be appropriate for other applications.

M. A. Wasiolek

2003-06-27T23:59:59.000Z

310

We have developed a software system that takes standard electro-cardiogram (ECG) input and interprets this input along with user-  

E-Print Network [OSTI]

a software system that takes standard electro- cardiogram (ECG) input and interprets this input along months 30 patients were monitored using a digital ECG system and this information was used to test that T wave inversions are sometimes seen on normal ECGs. Control ECGs of normal hearts were also taken

O'Sullivan, Carol

311

Memory cost of quantum protocols  

E-Print Network [OSTI]

In this paper we consider the problem of minimizing the ancillary systems required to realize an arbitrary strategy of a quantum protocol, with the assistance of classical memory. For this purpose we introduce the notion of memory cost of a strategy, which measures the resources required in terms of ancillary dimension. We provide a condition for the cost to be equal to a given value, and we use this result to evaluate the cost in some special cases. As an example we show that any covariant protocol for the cloning of a unitary transformation requires at most one ancillary qubit. We also prove that the memory cost has to be determined globally, and cannot be calculated by optimizing the resources independently at each step of the strategy.

Alessandro Bisio; Giacomo Mauro D'Ariano; Paolo Perinotti; Michal Sedlak

2011-12-16T23:59:59.000Z

312

Engineering Evaluation/Cost Analysis  

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

DOEPPPO03-0145&D2 Engineering EvaluationCost Analysis for Group 1 Buildings X-103, X-334, and X-344B at the Portsmouth Gaseous Diffusion Plant, Piketon, Ohio This document has...

313

Wind Electrolysis: Hydrogen Cost Optimization  

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

Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Wind Electrolysis: Hydrogen Cost Optimization Genevieve Saur, Todd Ramsden Prepared under...

314

Rising Cost of Generating Electricity  

Science Journals Connector (OSTI)

... METHODS are being discussed by electrical engineers to meet the rising costs of generating ... of generating electricity. Even before the War this was becoming a serious problem. In some cases it ...

1940-07-20T23:59:59.000Z

315

Cost Effective Water Heating Solutions  

Broader source: Energy.gov [DOE]

This presentation was given at the Summer 2012 DOE Building America meeting on July 25, 2012, and addressed the question"Are high-efficiency hot water heating systems worth the cost?"

316

Lower Cost Carbon Fiber Precursors  

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

1 Lower Cost Carbon Fiber Precursors P.I. Name: Dave Warren Presenter: Dr. Amit K. Naskar Oak Ridge National Laboratory 05162012 Project ID LM004 This presentation does not...

317

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

318

Search Costs in Airline Markets  

E-Print Network [OSTI]

SEARCH COSTS IN AIRLINE MARKETS A Dissertation by JOSE ANTONIO PELLERANO GUZMAN Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree... Copyright 2013 Jos Antonio Pellerano Guzmn ii ABSTRACT This paper recovers consumer search cost estimates in airline markets consistent with theoretical search models. We follow an empirical framework developed in the recent literature...

Pellerano Guzman, Jose

2013-12-04T23:59:59.000Z

319

,"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"

320

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 "input costs twelve" 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

Interface module for transverse energy input to dye laser modules  

DOE Patents [OSTI]

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

322

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

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

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

323

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

SciTech Connect (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

324

Letting The Sun Shine On Solar Costs: An Empirical Investigation Of Photovoltaic Cost Trends In California  

E-Print Network [OSTI]

INVESTIGATION OF PHOTOVOLTAIC COST TRENDS IN CALIFORNIA RyanInvestigation of Photovoltaic Cost Trends in California,cost of customer-sited, grid-connected solar photovoltaic (

Wiser, Ryan; Bolinger, Mark; Cappers, Peter; Margolis, Robert

2006-01-01T23:59:59.000Z

325

CAS Indirect Cost Recovery Practices "Facilities and Administration" (F&A) Costs or, "Indirect Cost Recovery (ICR)," are costs incurred by the  

E-Print Network [OSTI]

CAS Indirect Cost Recovery Practices "Facilities and Administration" (F&A) Costs or, "Indirect Cost Recovery (ICR)," are costs incurred by the University for common or joint projects and cannot be specifically attributed to an individual project. Some examples of indirect costs include accounting staff

Vonessen, Nikolaus

326

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

327

COST ACCOUNTING IN US CITIES: TRANSACTION COSTS AND GOVERNANCE FACTORS AFFECTING COST ACCOUNTING DEVELOPMENT AND USE  

E-Print Network [OSTI]

Cost accounting in government is a topic that has an oddly uncertain place in public financial management. Many people know what it is as an ideal construct but do not know what it is in practice. This uncertainty of ...

Mohr, Zachary Thomas

2013-05-31T23:59:59.000Z

328

NUCLEAR ENERGY SYSTEM COST MODELING  

SciTech Connect (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

329

Preconstruction schedules, costs, and permit requirements for electric power generating resources in the Pacific Northwest  

SciTech Connect (OSTI)

This report was prepared for the Generation Programs Branch, Office of Energy Resources, Bonneville Power Administration (BPA). The principal objective of the report is to assemble in one document preconstruction cost, schedule, and permit information for twelve specific generating resources. The report is one of many documents that provide background information for BPA's Resource Program, which is designed to identify the type and amount of new resources that BPA may have to add over the next twenty years to maintain an adequate and reliable electric power supply in the Pacific Northwest. A predecessor to this report is a 1982 report prepared by the Pacific Northwest Laboratory (PNL) for the Northwest Power Planning Council (the Council''). The 1982 report had a similar, but not identical, content and format. 306 refs., 14 figs., 22 tabs.

Hendrickson, P.L.; Smith, S.A.; Thurman, A.G.; Watts, R.L.; Weakley, S.A.

1990-07-01T23:59:59.000Z

330

Fuel Cell System Cost for Transporationa--2008 Cost Estimate  

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

331

,"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"

332

,"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"

333

Designing for cost In an aerospace company  

E-Print Network [OSTI]

Companies take different approaches, and achieve different degrees of implementation, in designing products for cost. This thesis discusses Target Costing and its application at The Boeing Company. Target Costing is a ...

Hammar, Elizabeth (Elizabeth Deming)

2014-01-01T23:59:59.000Z

334

Benefit-cost in a Benevolent Society  

E-Print Network [OSTI]

that there is a well-de?ned cost function C( y) for publicthe private values bene?t-cost test, but is potentiallythe private values bene?t-cost test, Lemma 4 implies y-

Bergstrom, Ted

2005-01-01T23:59:59.000Z

335

Maintenance cost studies of present aircraft subsystems  

E-Print Network [OSTI]

This report describes two detailed studies of actual maintenance costs for present transport aircraft. The first part describes maintenance costs for jet transport aircraft broken down into subsystem costs according to an ...

Pearlman, Chaim Herman Shalom

1966-01-01T23:59:59.000Z

336

Total cost model for making sourcing decisions  

E-Print Network [OSTI]

This thesis develops a total cost model based on the work done during a six month internship with ABB. In order to help ABB better focus on low cost country sourcing, a total cost model was developed for sourcing decisions. ...

Morita, Mark, M.B.A. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

337

Pipeline compressor station construction cost analysis  

Science Journals Connector (OSTI)

This study aims to provide a reference for pipeline compressor station construction costs by analysing individual compressor station cost components using historical compressor station cost data between 1992 and 2008. Distribution and share of these pipeline compressor station cost components are assessed based on compressor station capacity, year of completion, and locations. Average unit costs in material, labour, miscellaneous, land, and total costs are $866/hp, $466/hp, $367/hp, $13/hp, and $1,712/hp, respectively. Primary costs for compressor stations are material cost, approximately 50.6% of the total cost. This study conducts a learning curve analysis to investigate the learning rate of material and labour costs for different groups. Results show that learning rates and construction component costs vary by capacity and locations. This study also investigates the causes of pipeline compressor station construction cost differences. [Received: March 25, 2012; Accepted; 20 February 2013

Yipeng Zhao; Zhenhua Rui

2014-01-01T23:59:59.000Z

338

The relative cost of biomass energy transport  

Science Journals Connector (OSTI)

Logistics cost, the cost of moving feedstock or products, is a key component of the overall cost of recovering energy from biomass. In this study, we calculate for ... , rail, ship, and pipeline for three biomass

Erin Searcy; Peter Flynn; Emad Ghafoori

2007-01-01T23:59:59.000Z

339

The Relative Cost of Biomass Energy Transport  

Science Journals Connector (OSTI)

Logistics cost, the cost of moving feedstock or products, is a key component of the overall cost of recovering energy from biomass. In this study, we calculate for ... , rail, ship, and pipeline for three biomass

Erin Searcy; Peter Flynn; Emad Ghafoori

2007-01-01T23:59:59.000Z

340

RaisingRivals'FixedCosts Matthew Olczak  

E-Print Network [OSTI]

. In addition much of the recent Industrial Organisation literature has focused on the importance of sunk costs, whereas this paper considers fixed costs that do not have to be sunk costs. A set of guidelines produced

Feigon, Brooke

Note: This page contains sample records for the topic "input costs twelve" 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

Hydrogen Refueling Station Costs in Shanghai  

E-Print Network [OSTI]

to hydrogen storage vessels and compressors. Feedstock CostHydrogen Production Equipment Purifier Storage System Compressor Dispenser Additional Equipment Installation Costshydrogen equipment costs. Meyers [2] provides an in depth analyses of reformer, compressor, and storage equipment costs.

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

2006-01-01T23:59:59.000Z

342

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

343

Microsoft Word - CR-091 Primary Basis of Cost Savings and Cost...  

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

CR-091 Primary Basis of Cost Savings and Cost Savings Amount Custom Fields Primary Basis of Cost Savings and Cost Savings Amount Custom Fields Background On August 29 th , 2013 the...

344

Cost Principles Directives & Procedures Responsible Office: Cost Analysis Effective Date: November 1, 2013  

E-Print Network [OSTI]

1 Cost Principles Directives & Procedures Responsible Office: Cost Analysis Effective Date....................................................................................................................... 2 2. Guiding Principles to Determine the Charge of a Cost to a Sponosred Agreement ................................................................................................. 5 5.1. Personnel Costs

Jawitz, James W.

345

NETL: Turbine Projects - Cost Reduction  

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

Cost Reduction Cost Reduction Turbine Projects Cost Reduction Single Crystal Turbine Blades Enhancing Gas Turbine Efficiency Data/Fact Sheets Enabling and Information Technologies to Increase RAM of Advanced Powerplants Data/Fact Sheets Development of NDE Technology for Environmental Barrier Coating and Residual Life Estimation Data/Fact Sheets Welding and Weld Repair of Single Crystal Gas Turbine Alloy Data/Fact Sheets Combustion Turbine Hot Section Coating Life Management Data/Fact Sheets On-Line Thermal Barrier Coating Monitor for Real-Time Failure Protection and Life Maximization Data/Fact Sheets On-Line Thermal Barrier Coating [PDF] Advanced Monitoring to Improve Combustion Turbine/Combined Cycle RAM Data/Fact Sheets Advanced Monitoring to Improve Combustion Turbine [PDF]

346

Chapter 30 - Cost Accounting Standards Administration | Department...  

Office of Environmental Management (EM)

30 - Cost Accounting Standards Administration Chapter 30 - Cost Accounting Standards Administration 30.1DOE'sOversightofCertainContractorDefinedPensionPlansandItsEffect...

347

Definition: Reduced Electricity Cost | Open Energy Information  

Open Energy Info (EERE)

Cost Jump to: navigation, search Dictionary.png Reduced Electricity Cost Functions that provide this benefit could help alter customer usage patterns (demand response with price...

348

Cost Recovery Charge (CRC) Calculation Tables  

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

Cost Recovery Charge (CRC) Calculation Table Updated: October 6, 2014 FY 2016 September 2014 CRC Calculation Table (pdf) Final FY 2015 CRC Letter & Table (pdf) Note: The Cost...

349

Example Cost Codes for Construction Projects  

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

This chapter provides an example outline of cost items and their corresponding cost codes that may be used for construction projects.

1997-03-28T23:59:59.000Z

350

Hydrogen refueling station costs in Shanghai  

E-Print Network [OSTI]

pieces of hardware: 1. Hydrogen production equipment (e.g.when evaluating hydrogen production costs. Many analyses inrespect to size and hydrogen production method. These costs

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

2007-01-01T23:59:59.000Z

351

Benchmark the Fuel Cost of Steam Generation  

Broader source: Energy.gov [DOE]

This tip sheet on benchmarking the fuel cost of steam provides how-to advice for improving industrial steam systems using low-cost, proven practices and technologies.

352

Cost Analysis: Technology, Competitiveness, Market Uncertainty...  

Office of Environmental Management (EM)

policy impacts on system financing, and to perform detailed levelized cost of energy (LCOE) analyses. This shows the path to cost-equalizing as envisioned under the...

353

Low-Cost Microchannel Heat Exchanger  

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

psi pressure capability High effectiveness > 90% 80% lower estimated external heat loss 60% estimated lower cost Complete remaining tests and refine cost...

354

Cutting Biofuel Production Costs | The Ames Laboratory  

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

Cutting Biofuel Production Costs Working to use sunlight to convert biomass to biofuels, researchers have found a pathway toward reducing the energy costs associated with making...

355

PHEV Battery Cost Assessment | Department of Energy  

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

PHEV Battery Cost Assessment PHEV Battery Cost Assessment 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting...

356

PHEV Battery Cost Assessment | Department of Energy  

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

PHEV Battery Cost Assessment PHEV Battery Cost Assessment 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation...

357

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

SciTech Connect (OSTI)

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] [ORNL; Rearden, Bradley T [ORNL] [ORNL

2013-01-01T23:59:59.000Z

358

Entanglement cost in practical scenarios  

E-Print Network [OSTI]

We quantify the one-shot entanglement cost of an arbitrary bipartite state, that is the minimum number of singlets needed by two distant parties to create a single copy of the state up to a finite accuracy, using local operations and classical communication only. This analysis, in contrast to the traditional one, pertains to scenarios of practical relevance, in which resources are finite and transformations can only be achieved approximately. Moreover, it unveils a fundamental relation between two well-known entanglement measures, namely, the Schmidt number and the entanglement of formation. Using this relation, we are able to recover the usual expression of the entanglement cost as a special case.

Francesco Buscemi; Nilanjana Datta

2009-06-19T23:59:59.000Z

359

Quantum cost for sending entanglement  

E-Print Network [OSTI]

Establishing quantum entanglement between two distant parties is an essential step of many protocols in quantum information processing. One possibility for providing long-distance entanglement is to create an entangled composite state within a lab and then physically send one subsystem to a distant lab. However, is this the "cheapest" way? Here, we investigate the minimal "cost" that is necessary for establishing a certain amount of entanglement between two distant parties. We prove that this cost is intrinsically quantum, and is specified by quantum correlations. Our results provide an optimal protocol for entanglement distribution and show that quantum correlations are the essential resource for this task.

Alexander Streltsov; Hermann Kampermann; Dagmar Bru

2012-03-06T23:59:59.000Z

360

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

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

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

Note: This page contains sample records for the topic "input costs twelve" 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-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site  

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

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

362

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

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

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"

363

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

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

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

364

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

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

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

365

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

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

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"

366

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

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

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

367

Evaluation of Indian input to the international nuclear information system database  

Science Journals Connector (OSTI)

The study is aimed at analysing the INIS bibliographic records of publications in India during the period 2000-2008. The analysis includes the inputting trend, time-lag, contributing journals, country collaboration, content analysis through the classification and keywords. India has a total number of 14,697 records input to the database with an yearly average of 1631 records. The timeliness of input is very noteworthy as 29.15% of all articles are input in the same publication year, 52.57% articles are of only one year delay in inputting. Pramana, Journal of Medical Physics, Radiation Protection and Environment are found as the most contributed Indian journals. Scientists from USA, Germany, Japan, etc., are the main contributors. Nuclear physics and radiation physics, specific nuclear reactors and associated plants, particle accelerators, inorganic, organic, physical and analytical chemistry, etc., are main areas of the Indian input.

Anil Kumar; E.R. Prakasan; Sandeep Kadam; Nita Bhaskar

2011-01-01T23:59:59.000Z

368

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

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

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

369

Cost-Parity and Cost-Streett Games Nathanael Fijalkow1,2  

E-Print Network [OSTI]

Cost-Parity and Cost-Streett Games Nathana¨el Fijalkow1,2 and Martin Zimmermann2 1 LIAFA, Universit@mimuw.edu.pl Abstract. We consider games played on graphs equipped with costs on edges, and introduce two winning conditions, cost-parity and cost- Streett, which require bounds on the cost between requests

370

Alternative Fuels Data Center: Vehicle Cost Calculator  

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

Vehicle Cost Vehicle Cost Calculator to someone by E-mail Share Alternative Fuels Data Center: Vehicle Cost Calculator on Facebook Tweet about Alternative Fuels Data Center: Vehicle Cost Calculator on Twitter Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator on Google Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator on Delicious Rank Alternative Fuels Data Center: Vehicle Cost Calculator on Digg Find More places to share Alternative Fuels Data Center: Vehicle Cost Calculator on AddThis.com... Vehicle Cost Calculator Vehicle Cost Calculator This tool uses basic information about your driving habits to calculate total cost of ownership and emissions for makes and models of most vehicles, including alternative fuel and advanced technology vehicles. Also

371

Low-Cost Hydrogen-from-Ethanol: A Distributed Production System (Presentation)  

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

Hydrogen-from- Hydrogen-from- Ethanol: A Distributed Production System Presented at the Bio-Derived Liquids to Hydrogen Distributed Reforming Working Group Meeting Laurel, Maryland Tuesday, November 6, 2007 H 2 Gen Innovations, Inc. Alexandria, Virginia www.h2gen.com 2 Topics * H 2 Gen Reformer System Innovation * Natural Gas Reformer - Key performance metrics - Summary unique H2A inputs * Ethanol Reformer - Key performance metrics - Summary unique H2A inputs * Questions from 2007 Merit Review 3 H 2 Gen Innovations' Commercial SMR * Compact, low-cost 115 kg/day natural gas reformer proven in commercial practice [13 US Patents granted] * Built-in, unique, low-cost PSA system * Unique sulfur-tolerant catalyst developed with Süd Chemie 4 DOE Program Results * Task 1- Natural Gas Reformer Scaling:

372

Physical time-energy cost of a quantum process determines its information fidelity  

E-Print Network [OSTI]

A quantum system can be described and characterized by at least two different concepts, namely, its physical and informational properties. Here, we explicitly connect these two concepts, by equating the time-energy cost which is the product of the largest energy of a Hamiltonian of quantum dynamics and the evolution time, and the entanglement fidelity which is the informational difference between an input state and the corresponding output state produced by a quantum channel characterized by the Hamiltonian. Specifically, the worst-case entanglement fidelity between the input and output states is exactly the cosine of the channel's time-energy cost (except when the fidelity is zero). The exactness of our relation makes a strong statement about the intimate connection between information and physics. Our exact result may also be regarded as a time-energy uncertainty relation for the fastest state that achieves a certain fidelity.

Chi-Hang Fred Fung; H. F. Chau

2014-04-12T23:59:59.000Z

373

Relation between physical time-energy cost of a quantum process and its information fidelity  

Science Journals Connector (OSTI)

A quantum system can be described and characterized by at least two different concepts, namely, its physical and informational properties. Here, we explicitly connect these two concepts, by equating the time-energy cost which is the product of the largest energy of a Hamiltonian of quantum dynamics and the evolution time, and the entanglement fidelity which is the informational difference between an input state and the corresponding output state produced by a quantum channel characterized by the Hamiltonian. Specifically, the worst-case entanglement fidelity between the input and output states is exactly the cosine of the channel's time-energy cost (except when the fidelity is zero). The exactness of our relation makes a strong statement about the intimate connection between information and physics. Our exact result may also be regarded as a time-energy uncertainty relation for the fastest state that achieves a certain fidelity.

Chi-Hang Fred Fung and H. F. Chau

2014-08-27T23:59:59.000Z

374

Capital, labor, and energy cost prediction in timber harvesting: a microcomputer solution  

E-Print Network [OSTI]

, and rates for taxes, insurance, and interest. In case of an error or change in the input figures, included in the program is a handy error correction routine. Figure 2 The Programs Chained to Form CAPLEN CAPLEN MENU/CMP LABOR/CMP ENERGY/CMP CAPITAL/CMP... SUMMARY/CMP HARDCOPY/CMP END CAPLEN-Introduction and Directions, MENU/CMP-Allows access to linked programs. LABOR/CMP-Calculates labor and fringe benefit costs in harvest system. ENERGY/CMp-predicts, statistically, the energy requirements and cost...

Kusmertz, Timothy Jon

2012-06-07T23:59:59.000Z

375

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

Broader source: Energy.gov [DOE]

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

376

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

377

Combining frequency and time domain approaches to systems with multiple spike train input and output  

E-Print Network [OSTI]

between neuronal spike trains. Prog Biophys Mol Biol Vapnikto systems with multiple spike train input and output D. R.Keywords Multiple spike trains Neural coding Maximum

Brillinger, D. R.; Lindsay, K. A.; Rosenberg, J. R.

2009-01-01T23:59:59.000Z

378

E-Print Network 3.0 - alpha motoneurone input Sample Search Results  

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

such as input resistance (Ri,), membrane time constant (T... Spinalization on Ankle Extensor Motoneurons II. Motoneuron Electrical Properties S. HOCHMAN AND D. A. Mc......

379

A CSP Timed Input-Output Relation and a Strategy for Mechanised Conformance Verification  

Science Journals Connector (OSTI)

Here we propose a timed input-output conformance relation (named CSPTIO) based on the process algebra CSP. In contrast to other relations, CSPTIO...

Gustavo Carvalho; Augusto Sampaio

2013-01-01T23:59:59.000Z

380

Factors Controlling the Input of Electrical Energy into a Fish in an ...  

Science Journals Connector (OSTI)

In order to determine the electrical energy - input into a fish, both voltage and resistance, as applied to the fish itself, should be known. Neither of these quantities...

1999-12-13T23:59:59.000Z

Note: This page contains sample records for the topic "input costs twelve" 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

Table A10. Total Inputs of Energy for Heat, Power, and Electricity...  

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

0. 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 Trillion...

382

FORMALIZATION OF INPUT AND OUTPUT IN MODERN OPERATING SYSTEMS: THE HADLEY MODEL.  

E-Print Network [OSTI]

??We present the Hadley model, a formal descriptive model of input and output for modern computer operating systems. Our model is intentionally inspired by the (more)

Gerber, Matthew

2005-01-01T23:59:59.000Z

383

Examples of Cost Estimation Packages  

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

Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.

1997-03-28T23:59:59.000Z

384

Basic Costs in Electricity Supply  

Science Journals Connector (OSTI)

... ONE of the principal problems in the management of public electricity supply companies is how to reconcile the ... supply companies is how to reconcile the costs with the charges not only from year to year but also in their irregular secular ...

1941-07-12T23:59:59.000Z

385

Market Equilibrium with Transaction Costs  

E-Print Network [OSTI]

Identical products being sold at different prices in different locations is a common phenomenon. Price differences might occur due to various reasons such as shipping costs, trade restrictions and price discrimination. We give a way to model such scenarios by supplementing the classical Fisher model of a market by introducing {\\em transaction costs}. For every buyer $i$ and every good $j$, there is a transaction cost of $\\cij$; if the price of good $j$ is $p_j$, then the cost to the buyer $i$ {\\em per unit} of $j$ is $p_j + \\cij$. This allows the same good to be sold at different (effective) prices to different buyers. We study questions regarding existence, uniqueness and computability of equilibrium in such a model. Our results can be summarized as such: The convex program of \\cite{Dev09} can be generalized to prove existence and uniqueness of equilibrium. We also provide a combinatorial algorithm that computes $\\epsilon$-approximate equilibrium prices and allocations in $O(\\frac{1}{\\epsilon}(n+\\log{m})mn\\l...

Chakraborty, Sourav; Karande, Chinmay

2010-01-01T23:59:59.000Z

386

An Attack on Centrifugal Costs  

E-Print Network [OSTI]

AN ATTACK ON CENTRIFUGAL COSTS j P. ~,t~~c1ier Mwra~ I Mons'anto ' Alvin, 'ie~as I ABSTRACT Energy conservation in small and medium horse power industrial centrifugal power users has re ceived very little attention to date. Monsanto...

Murray, P. F.

387

Oil cost hits ship studies  

Science Journals Connector (OSTI)

... March 2007 to March 2009, are under threat because of the steep rise in marine-fuel costs. Hundreds of Arctic and Antarctic scientists face uncertainty as polar science programmes worldwide ... scientists face uncertainty as polar science programmes worldwide are curtailed, postponed or cancelled. The price of a barrel of oil has more than doubled since March 2007, from US$ ...

Quirin Schiermeier

2008-07-23T23:59:59.000Z

388

COST 227/08 1 European Cooperation  

E-Print Network [OSTI]

COST 227/08 1 DG C II EN European Cooperation in the field of Scientific and Technical Research - COST - -------------------- Secretariat ------- Brussels, 2 July 2008 COST 227/08 MEMORANDUM Action designated as COST Action ES0801: The ocean chemistry of bioactive trace elements and paleoclimate

Henderson, Gideon

389

COST 4138/10 1 European Cooperation  

E-Print Network [OSTI]

COST 4138/10 1 EN European Cooperation in Science and Technology - COST - -------------------- Secretariat ------- Brussels, 2 July 2010 COST 4138/10 MEMORANDUM OF UNDERSTANDING Subject : Memorandum of Understanding for the implementation of a European Concerted Research Action designated as COST Action FP1002

390

COST SHARING ON SPONSORED PROGRAMS Policy Statement  

E-Print Network [OSTI]

Page 1 COST SHARING ON SPONSORED PROGRAMS Policy Statement Northwestern University engages in cost and compelling circumstances. This document was developed to set forth University policy on cost sharing, and to provide guidance on the appropriate and consistent management and reporting of cost sharing throughout

Shahriar, Selim

391

WVU Personal Rapid Transit Benefit Cost Analysis  

E-Print Network [OSTI]

....................................................................... 6 Demographic Trends - Engineering Station .................................................................... 7 Demographic Trends - Engineering Station ............................................................................. 18 Economic Cost of Increased Congestion

Mohaghegh, Shahab

392

Conservation Cost-Effectiveness Determination Methodology  

E-Print Network [OSTI]

Conservation Cost-Effectiveness Determination Methodology CONSERVATION COST-EFFECTIVENESS As with all other resources, the Council uses its portfolio model to determine how much conservation is cost the amount of savings achievable at varying costs. In order to capture the impact of variations in wholesale

393

Analytical model for solar PV and CSP electricity costs: Present LCOE values and their future evolution  

Science Journals Connector (OSTI)

In this paper we first make a review of the past annual production of electricity and the cumulative installed capacity for photovoltaic (PV) and concentrating solar power (CSP) technologies. This together with the annual costs of PV modules and CSP systems allows us the determination of the experience curves and the corresponding learning rates. Then, we go over a rigorous exposition of the methodology employed for the calculation of the value of the levelized cost of electricity (LCOE) for PV and CSP. Based on this knowledge, we proceed to establish a mathematical model which yields closed-form analytical expressions for the present value of the LCOE, as well as its future evolution (20102050) based on the International Energy Agency roadmaps for the cumulative installed capacity. Next, we explain in detail how specific values are assigned to the twelve independent variables which enter the LCOE formula: solar resource, discount and learning rates, initial cost and lifetime of the system, operational and maintenance costs, etc. With all this background, and making use of a simple computer simulation program, we can generate the following: sensitivity analysis curves, graphs on the evolution of the LCOE in the period 20102050, and calculations of the years at which grid parities will be reached. These representations prove to be very useful in energy planning policies, like tariff-in schemes, tax exemptions, etc., and in making investment decisions, since they allow, for a given location, to directly compare the costs of PV vs CSP power generation technologies for the period 20102050. Among solar technologies, PV seems always more appropriate for areas located in middle to high latitudes of the Earth, while CSP systems, preferably with thermal storage incorporated, yield their best performance in arid areas located at relatively low latitudes.

J. Hernndez-Moro; J.M. Martnez-Duart

2013-01-01T23:59:59.000Z

394

Technological Feasibility and Cost Analysis | Department of Energy  

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

Analysis Analysis Methodologies Technological Feasibility and Cost Analysis Technological Feasibility and Cost Analysis Technology Feasibility and Cost Analysis is performed...

395

Interruption Cost Estimate Calculator | Open Energy Information  

Open Energy Info (EERE)

Interruption Cost Estimate Calculator Interruption Cost Estimate Calculator Jump to: navigation, search Tool Summary Name: Interruption Cost Estimate (ICE) Calculator Agency/Company /Organization: Freeman, Sullivan & Co. Sector: Energy Focus Area: Grid Assessment and Integration, Energy Efficiency Resource Type: Online calculator, Software/modeling tools User Interface: Website Website: icecalculator.com/ Country: United States Cost: Free Northern America References: [1] Logo: Interruption Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are interested in estimating interruption costs and/or the benefits associated with reliability improvements. About The Interruption Cost Estimate (ICE) Calculator is an electric reliability

396

Transparent Cost Database | Open Energy Information  

Open Energy Info (EERE)

Transparent Cost Database Transparent Cost Database Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Transparent Cost Database Agency/Company /Organization: Department of Energy Partner: National Renewable Energy Laboratory Sector: Energy Focus Area: Renewable Energy, Solar, Transportation Topics: Baseline projection, Low emission development planning, -LEDS, Resource assessment, Technology characterizations Resource Type: Dataset, Lessons learned/best practices, Software/modeling tools User Interface: Website Web Application Link: en.openei.org/apps/TCDB/ Cost: Free OpenEI Keyword(s): Featured Equivalent URI: cleanenergysolutions.org/content/united-states-transparent-cost-databa Language: English The Transparent Cost Database collects program cost and performance

397

Part cost estimation at early design phase  

Science Journals Connector (OSTI)

Abstract Although 70% of part cost is determined during the early design stage, designers rarely accurately estimate the costs of their designs. Based on extensive literature review, in-depth industrial survey and close collaboration with multiple manufacturers, forty factors were identified as governing part cost and ranked according to cost impact. Based on parameter ranking and availability at the early stages of design, a cost estimator for designers is proposed. As the design progresses and more parameters become available, a more accurate cost model is derived and proposed to manufacturers. Results are analyzed and compared to actual manufacturing costing demonstrating good fit.

Gila Molcho; Asher Cristal; Moshe Shpitalni

2014-01-01T23:59:59.000Z

398

SunShot Initiative: Reducing Photovoltaic Costs  

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

Reducing Photovoltaic Costs to Reducing Photovoltaic Costs to someone by E-mail Share SunShot Initiative: Reducing Photovoltaic Costs on Facebook Tweet about SunShot Initiative: Reducing Photovoltaic Costs on Twitter Bookmark SunShot Initiative: Reducing Photovoltaic Costs on Google Bookmark SunShot Initiative: Reducing Photovoltaic Costs on Delicious Rank SunShot Initiative: Reducing Photovoltaic Costs on Digg Find More places to share SunShot Initiative: Reducing Photovoltaic Costs on AddThis.com... Concentrating Solar Power Photovoltaics Research & Development Competitive Awards Systems Integration Balance of Systems Reducing Photovoltaic Costs Photo of gloved hands pouring liquid from a glass bottle to glass beaker. Past Incubator awardee, Innovalight, is creating high-efficiency, low-cost

399

Low-Cost Titanium Alloy Production | Department of Energy  

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

Cost Titanium Alloy Production Low-Cost Titanium Alloy Production titaniumalloyproduction.pdf More Documents & Publications Low Cost Titanium Propulsion Applications Low Cost...

400

Generalized Mercury/Waterfilling for Multiple-Input Multiple-Output Channels  

E-Print Network [OSTI]

Generalized Mercury/Waterfilling for Multiple-Input Multiple-Output Channels Fernando P procedure that generalizes the mercury/waterfilling algorithm, previously proposed for parallel non-interfering chan- nels. In this generalization the mercury level accounts for the sub- optimal (non-Gaussian) input

Verdú, Sergio

Note: This page contains sample records for the topic "input costs twelve" 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

April 3-4, 2007/ARR Engineering Input to System Code and  

E-Print Network [OSTI]

with providing input to system code - Assessing high-leverage engineering parameters to guide integrated trade 3-4, 2007/ARR 2 Schematic of ARIES Next Step Study as I Understand It (TBD) Design Requirements to Demonstrate Those System Code Development and Integration (ARIES-AT as starting point) Translating Input to

Raffray, A. René

402

Polar study of ionospheric ion outflow versus energy input Yihua Zheng,1  

E-Print Network [OSTI]

versus energy input is performed by using multi- instrument data (TIDE, EFI, MFI, HYDRA) from PolarPolar study of ionospheric ion outflow versus energy input Yihua Zheng,1 Thomas E. Moore,2 Forrest/6 Hz), the electron density, temperature, and the electron energy flux. The perturbation fields used

California at Berkeley, University of

403

Pinch-drag-flick vs. spatial input: rethinking zoom & pan on mobile displays  

Science Journals Connector (OSTI)

The multi-touch-based pinch to zoom, drag and flick to pan metaphor has gained wide popularity on mobile displays, where it is the paradigm of choice for navigating 2D documents. But is finger-based navigation really the gold standard' In this paper, ... Keywords: mobile displays, multi-touch input, spatial input, spatially aware displays, user study

Martin Spindler; Martin Schuessler; Marcel Martsch; Raimund Dachselt

2014-04-01T23:59:59.000Z

404

Feeling Music: Integration of Auditory and Tactile Inputs in Musical Meter Perception  

E-Print Network [OSTI]

Feeling Music: Integration of Auditory and Tactile Inputs in Musical Meter Perception Juan Huang1 are integrated in humans performing a musical meter recognition task. Subjects discriminated between two types coherent meter percepts, and 3) Simultaneously presented bimodal inputs where the two channels contained

Wang, Xiaoqin

405

Estimation of input energy in rocket-triggered lightning Vinod Jayakumar,1  

E-Print Network [OSTI]

the input power and energy, each per unit channel length and as a function of time, associated with return- lightning first stroke, based on the conversion of measured optical energy to total energy using energy., 2002] and measured current, I(t), at the channel base to estimate the input power per unit length, P

Florida, University of

406

Asynchronous Gate-Diffusion----Input (GDI) Circuits Arkadiy Morgenshtein, Michael Moreinis and Ran Ginosar  

E-Print Network [OSTI]

1 Asynchronous Gate-Diffusion----Input (GDI) Circuits Arkadiy Morgenshtein, Michael Moreinis, Israel [ran@ee.technion.ac.il] Abstract: Novel Gate-Diffusion Input (GDI) circuits are applied to asynchronous design. A variety of GDI implementations are compared with typical CMOS asynchronous circuits

Ginosar, Ran

407

Lean and Steering Motorcycle Dynamics Reconstruction : An Unknown Input HOSMO Approach  

E-Print Network [OSTI]

Lean and Steering Motorcycle Dynamics Reconstruction : An Unknown Input HOSMO Approach L. Nehaoua1. For this purpose, we consider a unknown input high order sliding mode observer (UIHOSMO). First, a motorcycle- flected by an important increase of motorcycle's fatalities. Recent statistics confirm this fact

Paris-Sud XI, Université de

408

1998 Cost and Quality Annual  

Gasoline and Diesel Fuel Update (EIA)

8) 8) Distribution Category UC-950 Cost and Quality of Fuels for Electric Utility Plants 1998 Tables June 1999 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels U.S. Department of Energy Washington DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts The annual publication Cost and Quality of Fuels for Electric Utility Plants (C&Q) is no longer published by the EIA. The tables presented in this document are intended to replace that annual publication. Questions regarding the availability of these data should

409

Entanglement Cost of Nonlocal Measurements  

E-Print Network [OSTI]

For certain joint measurements on a pair of spatially separated particles, we ask how much entanglement is needed to carry out the measurement exactly. For a class of orthogonal measurements on two qubits with partially entangled eigenstates, we present upper and lower bounds on the entanglement cost. The upper bound is based on a recent result by D. Berry [Phys. Rev. A 75, 032349 (2007)]. The lower bound, based on the entanglement production capacity of the measurement, implies that for almost all measurements in the class we consider, the entanglement required to perform the measurement is strictly greater than the average entanglement of its eigenstates. On the other hand, we show that for any complete measurement in d x d dimensions that is invariant under all local Pauli operations, the cost of the measurement is exactly equal to the average entanglement of the states associated with the outcomes.

Somshubhro Bandyopadhyay; Gilles Brassard; Shelby Kimmel; William K. Wootters

2008-09-12T23:59:59.000Z

410

Entanglement cost of nonlocal measurements  

SciTech Connect (OSTI)

For certain joint measurements on a pair of spatially separated particles, we ask how much entanglement is needed to carry out the measurement exactly. For a class of orthogonal measurements on two qubits with partially entangled eigenstates, we present upper and lower bounds on the entanglement cost. The upper bound is based on a recent result by Berry [Phys. Rev. A 75, 032349 (2007)]. The lower bound, based on the entanglement production capacity of the measurement, implies that for almost all measurements in the class we consider, the entanglement required to perform the measurement is strictly greater than the average entanglement of its eigenstates. On the other hand, we show that for any complete measurement in dxd dimensions that is invariant under all local generalized Pauli operations, the cost of the measurement is exactly equal to the average entanglement of the states associated with the outcomes.

Bandyopadhyay, Somshubhro; Brassard, Gilles [Departement IRO, Universite de Montreal, Montreal, Quebec, H3C 3J7 (Canada); Kimmel, Shelby; Wootters, William K. [Department of Physics, Williams College, Williamstown, Massachusetts 01267 (United States)

2009-07-15T23:59:59.000Z

411

Estimated Cost Description Determination Date:  

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

and posted 2/10/2011 and posted 2/10/2011 *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain $50,000 FONSI: uncertain Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $70,000 Attachment: Memo, Moody to Marcinowski, III, SUBJECT: NEPA 2011 APS for DOE-SRS, Dated: Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next 12 Months Department of Energy (DOE) Savannah River Site (SRS) Jan-11 Estimated Schedule (**NEPA Milestones) South Carolina Department of Health and Environmental Control (SCDHEC) issued a National Pollutant Discharge Elimination System (NPDES) Industrial Stormwater General Permit (IGP) # SCR000000 November 12, with an effective date of January

412

Consumer Winter Heating Oil Costs  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: The outlook for heating oil costs this winter, due to high crude oil costs and tight heating oil supplies, breaks down to an expected increase in heating expenditures for a typical oil-heated household of more than $200 this winter, the result of an 18% increase in the average price and an 11% increase in consumption. The consumption increase is due to the colder than normal temperatures experienced so far this winter and our expectations of normal winter weather for the rest of this heating season. Last winter, Northeast heating oil (and diesel fuel) markets experienced an extremely sharp spike in prices when a severe weather situation developed in late January. It is virtually impossible to gauge the probability of a similar (or worse) price shock recurring this winter,

413

U-102: Cisco IronPort Encryption Appliance Input Validation Flaw Permits  

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

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

414

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

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

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

415

U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site  

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

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

416

Oak Ridge's EM Program Seeks Public Input on Cleanup | Department of  

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

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.

417

V-139: Cisco Network Admission Control Input Validation Flaw Lets Remote  

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

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.

418

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

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

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

419

How are basement walls input in REScheck? | Building Energy Codes Program  

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

420

Oak Ridge's EM Program Seeks Public Input on Cleanup | Department of  

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

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.

Note: This page contains sample records for the topic "input costs twelve" 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

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

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

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

422

V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site  

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

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

423

U-255: Apache Wicket Input Validation Flaw Permits Cross-Site Scripting  

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

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

424

U-139: IBM Tivoli Directory Server Input Validation Flaw | Department of  

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

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

425

V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting  

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

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

426

U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site  

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

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

427

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

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

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.

428

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

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

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.

429

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

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

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

430

V-085: Cisco Unity Express Input Validation Hole Permits Cross-Site Request  

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

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

431

Evaluating capital and operating cost efficiency of offshore wind farms: A DEA approach  

Science Journals Connector (OSTI)

Abstract An actual growth rate greater than 30% indicates that offshore wind is a reasonable alternative to other energy sources. The industry today is faced with the challenge of becoming competitive and thus significantly reduce the cost of electricity from offshore wind. This situation implies that the evaluation of costs incurred during development, installation and operation is one of the most pressing issues in this industry at the moment. Unfortunately, actual cost analyses suffer from less resilient input data and the application of simple methodologies. Therefore, the objective of this study was to elevate the discussion, providing stakeholders with a sophisticated methodology and representative benchmark figures. The use of Data Envelopment Analysis (DEA) allowed for plants to be modelled as entities and costs to be related to the main specifics, such as distance to shore and water depth, ensuring the necessary comparability. Moreover, a particularly reliable database was established using cost data from annual reports. Offshore wind capacity of 3.6GW was benchmarked regarding capital and operating cost efficiency, best-practice cost frontiers were determined, and the effects of learning-by-doing and economies of scale were investigated, ensuring that this article is of significant interest for the offshore wind industry.

Nikolaus Ederer

2015-01-01T23:59:59.000Z

432

Comparative life-cycle cost analysis for low-level mixed waste remediation alternatives  

SciTech Connect (OSTI)

The purpose of this study is two-fold: (1) to develop a generic, life-cycle cost model for evaluating low-level, mixed waste remediation alternatives, and (2) to apply the model specifically, to estimate remediation costs for a site similar to the Fernald Environmental Management Project near Cincinnati, OH. Life-cycle costs for vitrification, cementation, and dry removal process technologies are estimated. Since vitrification is in a conceptual phase, computer simulation is used to help characterize the support infrastructure of a large scale vitrification plant. Cost estimating relationships obtained from the simulation data, previous cost estimates, available process data, engineering judgment, and expert opinion all provide input to an Excel based spreadsheet for generating cash flow streams. Crystal Ball, an Excel add-on, was used for discounting cash flows for net present value analysis. The resulting LCC data was then analyzed using multi-attribute decision analysis techniques with cost and remediation time as criteria. The analytical framework presented allows alternatives to be evaluated in the context of budgetary, social, and political considerations. In general, the longer the remediation takes, the lower the net present value of the process. This is true because of the time value of money and large percentage of the costs attributed to storage or disposal.

Jackson, J.A.; White, T.P.; Kloeber, J.M.; Toland, R.J.; Cain, J.P.; Buitrago, D.Y.

1995-03-01T23:59:59.000Z

433

Entanglement Cost of Quantum Channels  

E-Print Network [OSTI]

The entanglement cost of a quantum channel is the minimal rate at which entanglement (between sender and receiver) is needed in order to simulate many copies of a quantum channel in the presence of free classical communication. In this paper we show how to express this quantity as a regularized optimization of the entanglement formation over states that can be generated between sender and receiver. Our formula is the channel analog of a well-known formula for the entanglement cost of quantum states in terms of the entanglement of formation; and shares a similar relation to the recently shattered hope for additivity. The entanglement cost of a quantum channel can be seen as the analog of the quantum reverse Shannon theorem in the case where free classical communication is allowed. The techniques used in the proof of our result are then also inspired by a recent proof of the quantum reverse Shannon theorem and feature the one-shot formalism for quantum information theory, the post-selection technique for quantum channels as well as von Neumann's minimax theorem. We discuss two applications of our result. First, we are able to link the security in the noisy-storage model to a problem of sending quantum rather than classical information through the adversary's storage device. This not only improves the range of parameters where security can be shown, but also allows us to prove security for storage devices for which no results were known before. Second, our result has consequences for the study of the strong converse quantum capacity. Here, we show that any coding scheme that sends quantum information through a quantum channel at a rate larger than the entanglement cost of the channel has an exponentially small fidelity.

Mario Berta; Fernando Brandao; Matthias Christandl; Stephanie Wehner

2011-08-26T23:59:59.000Z

434

Energy Cost of Information Transfer  

Science Journals Connector (OSTI)

From thermodynamic and causality considerations a general upper bound on the rate at which information can be transferred in terms of the message energy is inferred. This bound is consistent with Shannon's bounds for a band-limited channel. It prescribes the minimum energy cost for information transferred over a given time interval. As an application, a fundamental upper bound of 1015 operations/sec on the speed of an ideal digital computer is established.

Jacob D. Bekenstein

1981-03-09T23:59:59.000Z

435

Low Cost Hydrogen Production Platform  

SciTech Connect (OSTI)

A technology and design evaluation was carried out for the development of a turnkey hydrogen production system in the range of 2.4 - 12 kg/h of hydrogen. The design is based on existing SMR technology and existing chemical processes and technologies to meet the design objectives. Consequently, the system design consists of a steam methane reformer, PSA system for hydrogen purification, natural gas compression, steam generation and all components and heat exchangers required for the production of hydrogen. The focus of the program is on packaging, system integration and an overall step change in the cost of capital required for the production of hydrogen at small scale. To assist in this effort, subcontractors were brought in to evaluate the design concepts and to assist in meeting the overall goals of the program. Praxair supplied the overall system and process design and the subcontractors were used to evaluate the components and system from a manufacturing and overall design optimization viewpoint. Design for manufacturing and assembly (DFMA) techniques, computer models and laboratory/full-scale testing of components were utilized to optimize the design during all phases of the design development. Early in the program evaluation, a review of existing Praxair hydrogen facilities showed that over 50% of the installed cost of a SMR based hydrogen plant is associated with the high temperature components (reformer, shift, steam generation, and various high temperature heat exchange). The main effort of the initial phase of the program was to develop an integrated high temperature component for these related functions. Initially, six independent concepts were developed and the processes were modeled to determine overall feasibility. The six concepts were eventually narrowed down to the highest potential concept. A US patent was awarded in February 2009 for the Praxair integrated high temperature component design. A risk analysis of the high temperature component was conducted to identify any potential design deficiency related to the concept. The analysis showed that no fundamental design flaw existed with the concept, but additional simulations and prototypes would be required to verify the design prior to fabricating a production unit. These identified risks were addressed in detail during Phase II of the development program. Along with the models of the high temperature components, a detailed process and 3D design model of the remainder of system, including PSA, compression, controls, water treatment and instrumentation was developed and evaluated. Also, in Phase II of the program, laboratory/fullscale testing of the high temperature components was completed and stable operation/control of the system was verified. The overall design specifications and test results were then used to develop accurate hydrogen costs for the optimized system. Praxair continued development and testing of the system beyond the Phase II funding provided by the DOE through the end of 2008. This additional testing is not documented in this report, but did provide significant additional data for development of a prototype system as detailed in the Phase III proposal. The estimated hydrogen product costs were developed (2007 basis) for the 4.8 kg/h system at production rates of 1, 5, 10, 100 and 1,000 units built per year. With the low cost SMR approach, the product hydrogen costs for the 4.8 kg/h units at 50 units produced per year were approximately $3.02 per kg. With increasing the volume production to 1,000 units per year, the hydrogen costs are reduced by about 12% to $2.67 per kg. The cost reduction of only 12% is a result of significant design and fabrication efficiencies being realized in all levels of production runs through utilizing the DFMA principles. A simplified and easily manufactured design does not require large production volumes to show significant cost benefits. These costs represent a significant improvement and a new benchmark in the cost to produce small volume on-site hydrogen using existing process technologies. The cost mo

Timothy M. Aaron, Jerome T. Jankowiak

2009-10-16T23:59:59.000Z

436

RTO heat recovery system decreases production costs and provides payback  

SciTech Connect (OSTI)

Application of a heat recovery system to an existing regenerative thermal oxidizer (RTO) was considered, tested, and selected for decreasing production costs at a pressure sensitive tape manufacturing facility. Heat recovery systems on RTO's are less common than those on other thermal oxidizers (e.g., recuperative) because RTO's, by the nature of the technology, usually provide high thermal efficiencies (without the application of external heat recovery systems). In this case, the production processes were integrated with the emission controls by applying an external heat recovery system and by optimizing the design and operation of the existing drying and cure ovens, RTO system, and ductwork collection system. Integration of these systems provides an estimated annual production cost savings of over $400,000 and a simplified capital investment payback of less than 2 years, excluding possible savings from improved dryer operations. These additional process benefits include more consistent and simplified control of seasonal dryer performance and possibly production throughput increases. The production costs savings are realized by substituting excess RTO heat for a portion of the infrared (IR) electrical heat input to the dryers/ovens. This will be accomplished by preheating the supply air to the oven zones with the excess RTO heat (i.e., heat at the RTO exceeding auto-thermal conditions). Several technologies, including direct air-to-air, indirect air-to-air, hot oil-to-air, waste heat boiler (steam-to-air) were evaluated for transferring the excess RTO heat (hot gas) to the ovens. A waste heat boiler was selected to transfer the excess RTO heat to the ovens because this technology provided the most economical, reliable, and feasible operation. Full-scale production test trials on the coating lines were performed and confirmed the IR electrical costs could be reduced up to 70%.

Lundquist, P.R.

1999-07-01T23:59:59.000Z

437

Rebalancing an Investment Portfolio in the Presence of Convex Transaction Costs and Market Impact Costs  

E-Print Network [OSTI]

Rebalancing an Investment Portfolio in the Presence of Convex Transaction Costs and Market Impact transaction costs. The loss to a portfolio from market impact costs is typically modeled with a convex, transaction costs, market impact costs, rebalanc- ing, conic optimization, convex optimization. 1 #12

Mitchell, John E.

438

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

E-Print Network [OSTI]

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

Finley Jr., Russell L.

439

5. ESTIMATING THE COSTS OF DIGITAL PRESERVATION 5.1 Isolating a `preservation cost'  

E-Print Network [OSTI]

44 5. ESTIMATING THE COSTS OF DIGITAL PRESERVATION 5.1 Isolating a `preservation cost' Deciding preservation is--how much will it cost? One of the problems encountered in trying to answer this question costs do relate specifically to preservation, but this does not mean that those are the only costs

Carr, Leslie

440

Breaking the Fuel Cell Cost Barrier  

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

Breaking the Fuel Cell Cost Barrier Breaking the Fuel Cell Cost Barrier AMFC Workshop May 8 th , 2011, Arlington, VA Shimshon Gottesfeld, CTO The Fuel Cell Cost Challenge 2 CellEra's goal - achieve price parity with incumbents earlier on in market entry process ! Mainstream Polymer Electrolyte Fuel Cell ( PEM) Cost Barriers 3 Graphite / stainless steel hardware Acidic membrane Platinum based electrodes Cost barriers deeply embedded in core tech materials BOM-based cost barriers - 90% of stack cost Cost volatility - Platinum $500/Oz - $2,500/Oz The possibility of an OH - ion conducting membrane 4 Non-acidic membrane CellEra Took Advantage of this Opportunity A new type of membrane component with potential for strong fuel cell cost cuts was revealed in 2006, but was accompanied by general industry skepticism

Note: This page contains sample records for the topic "input costs twelve" 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

Cost of Fuel to General Electricity  

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

of Fuel to Generate Electricity of Fuel to Generate Electricity Cost of Fuel to Generate Electricity Herb Emmrich Gas Demand Forecast, Economic Analysis & Tariffs Manager SCG/SDG&E SCG/SDG&E Federal Utility Partnership Working Group (FUPWG) 2009 Fall Meeting November 18, 2009 Ontario, California The Six Main Costs to Price Electricity are:  Capital costs - the cost of capital investment (debt & equity), depreciation, Federal & State income taxes and property taxes and property taxes  Fuel costs based on fuel used to generate electricity - hydro, natural gas, coal, fuel oil, wind, solar, photovoltaic geothermal biogas photovoltaic, geothermal, biogas  Operating and maintenance costs  Transmission costs  Distribution costs  Social adder costs - GHG adder, low income adder,

442

Development of surface mine cost estimating equations  

SciTech Connect (OSTI)

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

Not Available

1980-09-26T23:59:59.000Z

443

DOE Hydrogen Analysis Repository: PEMFC Manufacturing Cost  

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

PEMFC Manufacturing Cost PEMFC Manufacturing Cost Project Summary Full Title: Manufacturing Cost of Stationary Polymer Electrolyte Membrane (PEM) Fuel Cell Systems Project ID: 85 Principal Investigator: Brian James Keywords: Costs; fuel cells; stationary Performer Principal Investigator: Brian James Organization: Directed Technologies, Inc. (DTI) Address: 3601 Wilson Blvd., Suite 650 Arlington, VA 22201 Telephone: 703-243-3383 Email: brian_james@directedtechnologies.com Period of Performance End: November 1999 Project Description Type of Project: Analysis Category: Cross-Cutting Objectives: Estimate the cost of the fuel cell system using the Directed Technologies, Inc. cost database built up over the several years under U.S. Department of Energy and Ford Motor Company contracts.

444

CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions  

E-Print Network [OSTI]

Building Maintenance and Repair Cost Reference. WhitestoneJ. Wallis and H. Lin. 2008. CBE UFAD Cost Analysis Tool:UFAD First Cost Model, Issues and Assumptions. Center for

Webster, Tom; Benedek, Corinne; Bauman, Fred

2008-01-01T23:59:59.000Z

445

Seize Opportunities to Reduce Cost  

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

Specify for maximum energy savings Specify for maximum energy savings Windows must meet local energy code requirements. For even higher energy performance, consider ENERGY STAR windows, which are recommended for low-rise dwellings and are often suitable for mid-rise dwellings as well. For window and storm window options with superior performance in cold climates, check out the U.S. Department of Energy's highly insulating windows purchasing program (see next page). Seize Opportunities to Reduce Cost Government or utility incentives and financing may be available for energy efficiency in low-income housing. Check www.dsireusa.org for up-to-date information on incentive

446

Cost effectiveness of sonic drilling  

SciTech Connect (OSTI)

Sonic drilling (combination of mechanical vibrations and rotary power) is an innovative environmental technology being developed in cooperation with DOE`s Arid-Site Volatile Organic Compounds Integrated Demonstration at Hanford and the Mixed Waste Landfill Integrated Demonstration at Sandia. This report studies the cost effectiveness of sonic drilling compared with cable-tool and mud rotary drilling. Benefit of sonic drilling is its ability to drill in all types of formations without introducing a circulating medium, thus producing little secondary waste at hazardous sites. Progress has been made in addressing the early problems of failures and downtime.

Masten, D.; Booth, S.R.

1996-03-01T23:59:59.000Z

447

Private trucking costs and records  

E-Print Network [OSTI]

were asked of the appro- priate officials in each case. Tbe interviewer observed the methods of keeping cost and operating statistics in order to determine the different systems in use and also to estimate the time and expense involved in keeping... TBB OHR4TIOI Oy TBBXR OMN TROCHE FLBBT@?1956 Losel Xaeareity Total Operation Rsysaeaa: Qrkviag Bayeaaes Motor tueL aa6 Oil Other operatiaO Bryaaeea 855, 104. 00 62?915 ?00 oO? 91?979?$65?00 040?0$7. 00 197 ' 725 ?00 62)054?667?00 911, 7...

Haning, Charles R

2012-06-07T23:59:59.000Z

448

,"Maryland Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_smd_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_smd_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

449

,"New Jersey Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snj_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snj_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

450

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

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_shi_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_shi_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

451

,"Rhode Island Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Rhode Island Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sri_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sri_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:55 AM"

452

,"Louisiana 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)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","nga_epg0_ovi_sla_mmcfa.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/nga_epg0_ovi_sla_mmcfa.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

453

,"North Carolina Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Carolina Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snc_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snc_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

454

,"Alaska 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)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na_epg0_ovi_sak_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na_epg0_ovi_sak_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

455

,"Connecticut Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sct_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sct_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

456

,"Minnesota Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Minnesota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_smn_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_smn_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

457

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

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snm_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snm_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

458

,"Wyoming Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_swy_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_swy_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

459

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

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_swa_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_swa_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

460

,"Wisconsin Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_swi_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_swi_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

Note: This page contains sample records for the topic "input costs twelve" 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

,"New Hampshire Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Hampshire Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snh_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snh_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

462

,"Kentucky Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sky_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sky_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

463

,"Tennessee Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_stn_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_stn_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

464

,"Indiana Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sin_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sin_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

465

,"Michigan Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_smi_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_smi_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

466

,"Virginia Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sva_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sva_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

467

,"Georgia Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Georgia Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sga_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sga_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

468

,"South Dakota Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_ssd_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_ssd_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

469

,"Nebraska Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sne_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sne_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

470

,"Delaware Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sde_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sde_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

471

,"Arkansas Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sar_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sar_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:49 AM"

472

,"Illinois Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sil_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sil_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

473

,"Catalytic Reforming Downstream Processing of Fresh Feed Input"  

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

Catalytic Reforming Downstream Processing of Fresh Feed Input" Catalytic Reforming Downstream Processing of Fresh Feed Input" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Catalytic Reforming Downstream Processing of Fresh Feed Input",16,"Monthly","9/2013","1/15/2010" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_dwns_a_(na)_ydr_mbblpd_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_dwns_a_(na)_ydr_mbblpd_m.htm" ,"Source:","Energy Information Administration"

474

,"Pennsylvania Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_spa_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_spa_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:55 AM"

475

,"Iowa Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sia_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sia_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:51 AM"

476

,"Alabama Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sal_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sal_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:49 AM"

477

All-optical routing of single photons with multiple input and output ports by interferences  

E-Print Network [OSTI]

We propose a waveguide-cavity coupled system to achieve the routing of photons by the phases of other photons. Our router has four input ports and four output ports. The transport of the coherent-state photons injected through any input port can be controlled by the phases of the coherent-state photons injected through other input ports. This control can be achieved when the mean numbers of the routed and control photons are small enough and require no additional control fields. Therefore, the all-optical routing of photons can be achieved at the single-photon level.

Wei-Bin Yan; Bao Liu; Ling Zhou; Heng Fan

2014-09-23T23:59:59.000Z

478

,"North Dakota Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snd_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snd_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:53 AM"

479

,"South Carolina Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_ssc_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_ssc_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

480

,"Massachusetts Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Massachusetts Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sma_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sma_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

Note: This page contains sample records for the topic "input costs twelve" 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.


481

,"Nevada Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_snv_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_snv_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:54 AM"

482

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

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_stx_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_stx_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:56 AM"

483

,"U.S. Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9090us2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9090us2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:57:08 AM"

484

,"Colorado Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sco_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sco_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:49 AM"

485

,"Oregon Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sor_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sor_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:55 AM"

486

,"Florida Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sfl_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sfl_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:50 AM"

487

,"Vermont Natural Gas Input Supplemental Fuels (MMcf)"  

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Vermont Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_svt_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_svt_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:57 AM"

488

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

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

Input Supplemental Fuels (MMcf)" Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1400_sme_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1400_sme_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:58:52 AM"

489

Reducing Power Factor Cost | Department of Energy  

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

Power Factor Cost Reducing Power Factor Cost Low power factor is expensive and inefficient. Many utility companies charge an additional fee if your power factor is less than 0.95....

490

Breaking the Fuel Cell Cost Barrier  

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

the Fuel Cell Cost Barrier AMFC Workshop May 8 th , 2011, Arlington, VA Shimshon Gottesfeld, CTO The Fuel Cell Cost Challenge 2 CellEra's goal - achieve price parity with...

491

Low-Cost, Lightweight Solar Concentrator  

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

sunshot DOEGO-102012-3663 * September 2012 MOTIVATION Solar concentrators currently cost 150-250m 2 , which represents as much as half of the total installed cost for a...

492

Certificate of Current Cost and Pricing Data  

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

CERTIFICATE OF CURRENT COST AND PRICING DATA (OCT 1997) This is to certify that, to the best of my knowledge and belief, the cost or pricing data (as defined in section 15.401 of...

493

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network [OSTI]

Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory% postconsumer waste #12;i Independent Review Panel Summary Report September 28, 2011 From: Independent Review Panel, Hydrogen Production Cost Estimate Using Biomass Gasification To: Mr. Mark Ruth, NREL, DOE

494

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...

Swanson, G.

2007-01-01T23:59:59.000Z

495

COMPARATIVE COSTS OF CALIFORNIA CENTRAL STATION ELECTRICITY  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION COMPARATIVE COSTS OF CALIFORNIA CENTRAL STATION ELECTRICITY GENERATION and Anitha Rednam, Comparative Costs of California Central Station Electricity Generation Technologies Manager Ruben Tavares - Acting Manager ELECTRICITY ANALYSIS OFFICE Sylvia Bender Deputy Director

Laughlin, Robert B.

496

Costs Associated With Propane Vehicle Fueling Infrastructure  

SciTech Connect (OSTI)

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

Smith, M.; Gonzales, J.

2014-08-01T23:59:59.000Z

497

The real costs of tuition tax credits  

Science Journals Connector (OSTI)

Calculations of the costs of tuition tax credits should include estimates of the induced migration ... by the President's advisors that his 1983 tax credit proposal would cost up to $800 million ... migrants that...

Edwin G. West

1985-01-01T23:59:59.000Z

498

Challenges in estimating waste confinement costs  

SciTech Connect (OSTI)

This paper presents a systems analysis framework for cost estimating and outlines the challenges likely to be confronted during the cost estimating and data base development process. 1 ref., 8 figs.

Rivera, A.L.

1990-01-01T23:59:59.000Z

499

Benchmark the Fuel Cost of Steam Generation  

SciTech Connect (OSTI)

This revised ITP tip sheet on benchmarking the fuel cost of steam provides how-to advice for improving industrial steam systems using low-cost, proven practices and technologies.

Not Available

2006-01-01T23:59:59.000Z

500

Sunk Costs and Real Options in Antitrust  

E-Print Network [OSTI]

Sunk costs play a central role in antitrust economics, but are often misunderstood and mismeasured. I will try to clarify some of the conceptual and empirical issues related to sunk costs, and explain their implications ...

Pindyck, Robert S.

2005-07-29T23:59:59.000Z