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1

Property:EstimatedCostHighUSD | Open Energy Information  

Open Energy Info (EERE)

EstimatedCostHighUSD EstimatedCostHighUSD Jump to: navigation, search Property Name EstimatedCostHighUSD Property Type Quantity Description the high estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one US Dollar. http://en.wikipedia.org/wiki/Area Acceptable units (and their conversions) are: 100 cent USD,cents USD,Cent USD,Cents USD .001 k USD,thousand USD,Thousand USD .000001 M USD,million USD,Million USD .000000001 T USD,trillion USD,Trillion USD Pages using the property "EstimatedCostHighUSD" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 50050,000 centUSD 0.5 kUSD 5.0e-4 MUSD 5.0e-7 TUSD + A Acoustic Logs + 161,600 centUSD 0.016 kUSD 1.6e-5 MUSD 1.6e-8 TUSD + Aerial Photography + 2,360236,000 centUSD

2

Property:EstimatedCostLowUSD | Open Energy Information  

Open Energy Info (EERE)

EstimatedCostLowUSD EstimatedCostLowUSD Jump to: navigation, search Property Name EstimatedCostLowUSD Property Type Quantity Description the low estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one US Dollar. http://en.wikipedia.org/wiki/Area Acceptable units (and their conversions) are: 100 cent USD,cents USD,Cent USD,Cents USD .001 k USD,thousand USD,Thousand USD .000001 M USD,million USD,Million USD .000000001 T USD,trillion USD,Trillion USD Pages using the property "EstimatedCostLowUSD" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 20020,000 centUSD 0.2 kUSD 2.0e-4 MUSD 2.0e-7 TUSD + A Acoustic Logs + 1100 centUSD 1.0e-3 kUSD 1.0e-6 MUSD 1.0e-9 TUSD + Aerial Photography + 100.3610,036 centUSD

3

Property:EstimatedCostMedianUSD | Open Energy Information  

Open Energy Info (EERE)

EstimatedCostMedianUSD EstimatedCostMedianUSD Jump to: navigation, search Property Name EstimatedCostMedianUSD Property Type Quantity Description the median estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one US Dollar. http://en.wikipedia.org/wiki/Area Acceptable units (and their conversions) are: 100 cent USD,cents USD,Cent USD,Cents USD .001 k USD,thousand USD,Thousand USD .000001 M USD,million USD,Million USD .000000001 T USD,trillion USD,Trillion USD Pages using the property "EstimatedCostMedianUSD" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 30030,000 centUSD 0.3 kUSD 3.0e-4 MUSD 3.0e-7 TUSD + A Acoustic Logs + 4.62462 centUSD 0.00462 kUSD 4.62e-6 MUSD 4.62e-9 TUSD + Aerial Photography + 240.5424,054 centUSD

4

USD 422 Greensburg K-12 School  

Office of Energy Efficiency and Renewable Energy (EERE)

This poster highlights energy efficiency, renewable energy, and sustainable features of the high-performing USD 422 K-12 school in Greensburg, Kansas.

5

Rebuilding It Better: Greensburg, Kansas. USD 422 Greensburg...  

Energy Savers [EERE]

422 Greensburg K-12 School (Revised) (Brochure), Energy Efficiency & Renewable Energy (EERE) Rebuilding It Better: Greensburg, Kansas. USD 422 Greensburg K-12 School (Revised)...

6

The short-term effect of the movement of the USD on oil prices.  

E-Print Network [OSTI]

??The effect of the changes in the US dollar (USD) on oil prices was examined in several trials. An indexed value of the USD and… (more)

Wells, Lauren E.

2009-01-01T23:59:59.000Z

7

A New Forecasting Model for USD/CNY Exchange Rate  

E-Print Network [OSTI]

This paper models the return series of USD/CNY exchange rate by considering the conditional mean and conditional volatility simultaneously. An index type functional-coefficient model is adopted to model the conditional ...

Cai, Zongwu; Chen, Linna; Fang, Ying

2012-09-18T23:59:59.000Z

8

USD 384 Blue Valley Wind Project | Open Energy Information  

Open Energy Info (EERE)

Blue Valley Wind Project Blue Valley Wind Project Jump to: navigation, search Name USD 384 Blue Valley Wind Project Facility USD 384 Blue Valley Sector Wind energy Facility Type Community Wind Location KS Coordinates 39.433575°, -96.758011° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","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":39.433575,"lon":-96.758011,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

9

USD 393 Solomon High School Wind Project | Open Energy Information  

Open Energy Info (EERE)

Solomon High School Wind Project Solomon High School Wind Project Jump to: navigation, search Name USD 393 Solomon High School Wind Project Facility USD 393 Solomon High School Sector Wind energy Facility Type Community Wind Location KS Coordinates 38.924103°, -97.369339° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","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":38.924103,"lon":-97.369339,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

10

USD 440 Halstead Schools Wind Project | Open Energy Information  

Open Energy Info (EERE)

Halstead Schools Wind Project Halstead Schools Wind Project Jump to: navigation, search Name USD 440 Halstead Schools Wind Project Facility USD 440 Halstead Schools Sector Wind energy Facility Type Community Wind Location KS Coordinates 37.998287°, -97.510193° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","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":37.998287,"lon":-97.510193,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

11

USD 376 Sterling High School Wind Project | Open Energy Information  

Open Energy Info (EERE)

High School Wind Project High School Wind Project Jump to: navigation, search Name USD 376 Sterling High School Wind Project Facility USD 376 Sterling High School Sector Wind energy Facility Type Community Wind Location KS Coordinates 38.216789°, -98.202492° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","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":38.216789,"lon":-98.202492,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

12

USD 375 Circle High School Wind Project | Open Energy Information  

Open Energy Info (EERE)

High School Wind Project High School Wind Project Jump to: navigation, search Name USD 375 Circle High School Wind Project Facility USD 375 Circle High School Sector Wind energy Facility Type Community Wind Location KS Coordinates 37.794674°, -96.994576° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","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":37.794674,"lon":-96.994576,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

13

USD 373 Walton Rural Life Wind Project | Open Energy Information  

Open Energy Info (EERE)

Walton Rural Life Wind Project Walton Rural Life Wind Project Jump to: navigation, search Name USD 373 Walton Rural Life Wind Project Facility USD 373 Walton Rural Life Sector Wind energy Facility Type Community Wind Location KS Coordinates 38.118351°, -97.260567° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","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":38.118351,"lon":-97.260567,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

14

USD 345 Seaman High School Wind Project | Open Energy Information  

Open Energy Info (EERE)

Seaman High School Wind Project Seaman High School Wind Project Jump to: navigation, search Name USD 345 Seaman High School Wind Project Facility USD 345 Seaman High School Sector Wind energy Facility Type Community Wind Location KS Coordinates 39.135315°, -95.66996° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","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":39.135315,"lon":-95.66996,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

15

USD 307 Ell-Saline Wind Project | Open Energy Information  

Open Energy Info (EERE)

Ell-Saline Wind Project Ell-Saline Wind Project Jump to: navigation, search Name USD 307 Ell-Saline Wind Project Facility USD 307 Ell-Saline Sector Wind energy Facility Type Community Wind Location KS Coordinates 38.77187°, -97.861519° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","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":38.77187,"lon":-97.861519,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

17

A Receit for the Curing of Castorium, according to the Method us'd in Russia  

Science Journals Connector (OSTI)

1686-1692 research-article A Receit for the Curing of Castorium, according to the Method us'd in Russia The Royal Society is collaborating with JSTOR to digitize, preserve, and extend access to Philosophical Transactions (1683-1775). www.jstor.org

1686-01-01T23:59:59.000Z

18

SRT | Open Energy Information  

Open Energy Info (EERE)

SRT SRT Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: SRT Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Active Sensors Parent Exploration Technique: Radar Information Provided by Technique Lithology: Stratigraphic/Structural: high-resolution DEMs Hydrological: Thermal: Cost Information Low-End Estimate (USD): 0.000 centUSD 0 kUSD 0 MUSD 0 TUSD / process Median Estimate (USD): 0.000 centUSD 0 kUSD 0 MUSD 0 TUSD / process High-End Estimate (USD): 0.000 centUSD 0 kUSD 0 MUSD 0 TUSD / process Time Required Low-End Estimate: 2 days0.00548 years 48 hours 0.286 weeks 0.0657 months / job Median Estimate: 2 days0.00548 years 48 hours 0.286 weeks

19

FLIR | Open Energy Information  

Open Energy Info (EERE)

FLIR FLIR Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: FLIR Details Activities (2) Areas (1) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Map surface temperatures Cost Information Low-End Estimate (USD): 241.3524,135 centUSD 0.241 kUSD 2.4135e-4 MUSD 2.4135e-7 TUSD / mile Median Estimate (USD): 643.6064,360 centUSD 0.644 kUSD 6.436e-4 MUSD 6.436e-7 TUSD / mile High-End Estimate (USD): 1,609.00160,900 centUSD 1.609 kUSD 0.00161 MUSD 1.609e-6 TUSD / mile Time Required Low-End Estimate: 0.25 days6.844627e-4 years

20

Resistivity Tomography | Open Energy Information  

Open Energy Info (EERE)

Resistivity Tomography Resistivity Tomography Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Resistivity Tomography Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Log Techniques Parent Exploration Technique: Resistivity Log Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 60.986,098 centUSD 0.061 kUSD 6.098e-5 MUSD 6.098e-8 TUSD / foot Median Estimate (USD): 76.227,622 centUSD 0.0762 kUSD 7.622e-5 MUSD 7.622e-8 TUSD / foot High-End Estimate (USD): 106.7110,671 centUSD 0.107 kUSD 1.0671e-4 MUSD 1.0671e-7 TUSD / foot Time Required Low-End Estimate: 1 days0.00274 years

Note: This page contains sample records for the topic "low-end estimate usd" 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

Radiometrics | Open Energy Information  

Open Energy Info (EERE)

Radiometrics Radiometrics Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Radiometrics Details Activities (5) Areas (4) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: Primary use is in mapping potassium alterations Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 8.04804 centUSD 0.00804 kUSD 8.04e-6 MUSD 8.04e-9 TUSD / mile Median Estimate (USD): 4,609.55460,955 centUSD 4.61 kUSD 0.00461 MUSD 4.60955e-6 TUSD / mile High-End Estimate (USD): 16,000.001,600,000 centUSD 16 kUSD 0.016 MUSD 1.6e-5 TUSD / mile Time Required Low-End Estimate: 0.05 days1.368925e-4 years

22

SWIR | Open Energy Information  

Open Energy Info (EERE)

SWIR SWIR Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: SWIR Details Activities (1) Areas (1) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: map characteristic minerals associated with hot springs/mineral deposits Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 450.0045,000 centUSD 0.45 kUSD 4.5e-4 MUSD 4.5e-7 TUSD / subject Median Estimate (USD): 800.0080,000 centUSD 0.8 kUSD 8.0e-4 MUSD 8.0e-7 TUSD / subject High-End Estimate (USD): 6,000.00600,000 centUSD 6 kUSD 0.006 MUSD 6.0e-6 TUSD / subject Time Required Low-End Estimate: 1 days0.00274 years

23

Near Infrared Surveys | Open Energy Information  

Open Energy Info (EERE)

Near Infrared Surveys Near Infrared Surveys Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Near Infrared Surveys Details Activities (18) Areas (14) Regions (1) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 450.0045,000 centUSD 0.45 kUSD 4.5e-4 MUSD 4.5e-7 TUSD / sq. mile Median Estimate (USD): 800.0080,000 centUSD 0.8 kUSD 8.0e-4 MUSD 8.0e-7 TUSD / sq. mile High-End Estimate (USD): 1,350.00135,000 centUSD 1.35 kUSD 0.00135 MUSD 1.35e-6 TUSD / sq. mile Time Required Low-End Estimate: 6 weeks0.115 years

24

Geodetic Survey | Open Energy Information  

Open Energy Info (EERE)

Geodetic Survey Geodetic Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Geodetic Survey Details Activities (17) Areas (10) Regions (5) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: Stratigraphic/Structural: Map regional strain rates Hydrological: Thermal: Cost Information Low-End Estimate (USD): 250.0025,000 centUSD 0.25 kUSD 2.5e-4 MUSD 2.5e-7 TUSD / point Median Estimate (USD): 600.0060,000 centUSD 0.6 kUSD 6.0e-4 MUSD 6.0e-7 TUSD / point High-End Estimate (USD): 1,500.00150,000 centUSD 1.5 kUSD 0.0015 MUSD 1.5e-6 TUSD / point Time Required Low-End Estimate: 5 days0.0137 years

25

From Clark Lake to Chandra: Closing in on the Low End of the Relativistic Electron Spectra in Extragalactic Sources  

E-Print Network [OSTI]

The limited angular resolutions and sensitivities historically available below 300 MHz have made it difficult to define the low end of the electron energy distribution, N(gamma). We extrapolate down from the well observed segments of radio spectra with almost complete ignorance of what N(gamma) is actually doing. We do not know if there is a low energy cutoff or if there are other deviations from extrapolated power laws. The result is that we really do not have a good estimate of the total energy density and pressure of the relativistic plasmas we study. The situation is even worse for Inverse Compton (IC) X-ray emission, several flavors of which rely on electrons of Lorentz factors, gamma, of 1000, 300, or in some cases of order 50. If our assumed extrapolations are wrong, some IC emission models may have to be abandoned. We present several examples and demonstrate that the Long Wave Array (LWA) should have sufficient sensitivity and resolution to obtain meaningful constraints on N(gamma) at low energies.

D. E. Harris

2004-10-20T23:59:59.000Z

26

Rebuilding It Better: Greensburg, Kansas. USD 422 Greensburg K-12 School (Revised) (Brochure), Energy Efficiency & Renewable Energy (EERE)  

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

USD 422 Greensburg K-12 School USD 422 Greensburg K-12 School The tornado destroyed Greensburg's original school, so the new school was built green from the ground up. School leaders and the design/construction team worked closely together to design an environmentally responsible, student-focused academic environment that reinforces Greensburg's community-wide commitment to sustain- ability. The 120,000-square-foot, two-story facility has the capacity to hold more than 300 students ranging from preschoolers to high-school seniors. LEED® Platinum The school is designed to achieve the U.S. Green Building Council's Leadership in Energy and Environmental Design (LEED ® ) for Schools Platinum designation. NREL, with the support of DOE, provided technical assistance to determine the

27

A Hidden Markov Model for Localization Using Low-End GSM Cell Phones  

E-Print Network [OSTI]

Research in location determination for GSM phones has gained interest recently as it enables a wide set of location based services. RSSI-based techniques have been the preferred method for GSM localization on the handset as RSSI information is available in all cell phones. Although the GSM standard allows for a cell phone to receive signal strength information from up to seven cell towers, many of today's cell phones are low-end phones, with limited API support, that gives only information about the associated cell tower. In addition, in many places in the world, the density of cell towers is very small and therefore, the available cell tower information for localization is very limited. This raises the challenge of accurately determining the cell phone location with very limited information, mainly the RSSI of the associated cell tower. In this paper we propose a Hidden Markov Model based solution that leverages the signal strength history from only the associated cell tower to achieve accurate GSM localizat...

Ibrahim, Mohamed

2010-01-01T23:59:59.000Z

28

Geothermometry | Open Energy Information  

Open Energy Info (EERE)

Geothermometry Geothermometry Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Geothermometry Details Activities (65) Areas (48) Regions (5) NEPA(0) Exploration Technique Information Exploration Group: Geochemical Techniques Exploration Sub Group: Geochemical Data Analysis Parent Exploration Technique: Geochemical Data Analysis Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: used to estimate reservoir temperatures Cost Information Low-End Estimate (USD): 30.003,000 centUSD 0.03 kUSD 3.0e-5 MUSD 3.0e-8 TUSD / sample Median Estimate (USD): 30.003,000 centUSD 0.03 kUSD 3.0e-5 MUSD 3.0e-8 TUSD / sample High-End Estimate (USD): 30.003,000 centUSD 0.03 kUSD 3.0e-5 MUSD 3.0e-8 TUSD / sample Dictionary.png Geothermometry:

29

Near Infrared Surveys | Open Energy Information  

Open Energy Info (EERE)

Near Infrared Surveys Near Infrared Surveys (Redirected from Thermal And-Or Near Infrared) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Near Infrared Surveys Details Activities (18) Areas (14) Regions (1) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 450.0045,000 centUSD 0.45 kUSD 4.5e-4 MUSD 4.5e-7 TUSD / sq. mile Median Estimate (USD): 800.0080,000 centUSD 0.8 kUSD 8.0e-4 MUSD 8.0e-7 TUSD / sq. mile High-End Estimate (USD): 1,350.00135,000 centUSD 1.35 kUSD 0.00135 MUSD 1.35e-6 TUSD / sq. mile

30

Static Temperature Survey | Open Energy Information  

Open Energy Info (EERE)

Static Temperature Survey Static Temperature Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Static Temperature Survey Details Activities (28) Areas (24) Regions (2) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Testing Techniques Parent Exploration Technique: Well Testing Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Extrapolate the true temperature of the formation the well penetrates Cost Information Low-End Estimate (USD): 0.2525 centUSD 2.5e-4 kUSD 2.5e-7 MUSD 2.5e-10 TUSD / foot Median Estimate (USD): 0.3535 centUSD 3.5e-4 kUSD 3.5e-7 MUSD 3.5e-10 TUSD / foot High-End Estimate (USD): 0.7575 centUSD 7.5e-4 kUSD 7.5e-7 MUSD

31

Z-Axis Tipper Electromagnetics | Open Energy Information  

Open Energy Info (EERE)

Z-Axis Tipper Electromagnetics Z-Axis Tipper Electromagnetics Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Z-Axis Tipper Electromagnetics Details Activities (2) Areas (2) Regions (0) NEPA(1) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Magnetotelluric Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 4,827.00482,700 centUSD 4.827 kUSD 0.00483 MUSD 4.827e-6 TUSD / mile Median Estimate (USD): 6,206.14620,614 centUSD 6.206 kUSD 0.00621 MUSD 6.20614e-6 TUSD / mile High-End Estimate (USD): 17,239.291,723,929 centUSD 17.239 kUSD 0.0172 MUSD 1.723929e-5 TUSD / mile Dictionary.png

32

Cuttings Analysis | Open Energy Information  

Open Energy Info (EERE)

Cuttings Analysis Cuttings Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Cuttings Analysis Details Activities (36) Areas (28) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Rock Lab Analysis Parent Exploration Technique: Rock Lab Analysis Information Provided by Technique Lithology: Cuttings are used to define lithology Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 1,000.00100,000 centUSD 1 kUSD 1.0e-3 MUSD 1.0e-6 TUSD / 100 feet cut Median Estimate (USD): 4,000.00400,000 centUSD 4 kUSD 0.004 MUSD 4.0e-6 TUSD / 100 feet cut High-End Estimate (USD): 10,000.001,000,000 centUSD 10 kUSD 0.01 MUSD 1.0e-5 TUSD / 100 feet cut Time Required

33

2-M Probe Survey | Open Energy Information  

Open Energy Info (EERE)

2-M Probe Survey 2-M Probe Survey (Redirected from 2-M Probe) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: 2-M Probe Survey Details Activities (27) Areas (21) Regions (0) NEPA(3) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Identify and delineate shallow thermal anomalies Cost Information Low-End Estimate (USD): 200.0020,000 centUSD 0.2 kUSD 2.0e-4 MUSD 2.0e-7 TUSD / station Median Estimate (USD): 300.0030,000 centUSD 0.3 kUSD 3.0e-4 MUSD 3.0e-7 TUSD / station High-End Estimate (USD): 500.0050,000 centUSD 0.5 kUSD 5.0e-4 MUSD

34

Acoustic Logs | Open Energy Information  

Open Energy Info (EERE)

Acoustic Logs Acoustic Logs Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Acoustic Logs Details Activities (7) Areas (6) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Log Techniques Parent Exploration Technique: Well Log Techniques Information Provided by Technique Lithology: determine porosity of layers Stratigraphic/Structural: map discontinuities to determine their orientation. Hydrological: Thermal: Cost Information Low-End Estimate (USD): 1.00100 centUSD 1.0e-3 kUSD 1.0e-6 MUSD 1.0e-9 TUSD / foot Median Estimate (USD): 4.62462 centUSD 0.00462 kUSD 4.62e-6 MUSD 4.62e-9 TUSD / foot High-End Estimate (USD): 16.001,600 centUSD 0.016 kUSD 1.6e-5 MUSD 1.6e-8 TUSD / foot

35

Petrography Analysis | Open Energy Information  

Open Energy Info (EERE)

Petrography Analysis Petrography Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Petrography Analysis Details Activities (6) Areas (5) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Rock Lab Analysis Parent Exploration Technique: Rock Lab Analysis Information Provided by Technique Lithology: Provides detailed information about rock composition and morphology Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 275.0027,500 centUSD 0.275 kUSD 2.75e-4 MUSD 2.75e-7 TUSD / sample Median Estimate (USD): 420.0042,000 centUSD 0.42 kUSD 4.2e-4 MUSD 4.2e-7 TUSD / sample High-End Estimate (USD): 625.0062,500 centUSD 0.625 kUSD 6.25e-4 MUSD 6.25e-7 TUSD / sample

36

PSInSAR | Open Energy Information  

Open Energy Info (EERE)

PSInSAR PSInSAR Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: PSInSAR Details Activities (2) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Active Sensors Parent Exploration Technique: Radar Information Provided by Technique Lithology: Stratigraphic/Structural: Detect fault and ground movement Hydrological: Can give indications about subsurface geothermal fluid flow Thermal: Cost Information Low-End Estimate (USD): 20.722,072 centUSD 0.0207 kUSD 2.072e-5 MUSD 2.072e-8 TUSD / sq. mile Median Estimate (USD): 103.6010,360 centUSD 0.104 kUSD 1.036e-4 MUSD 1.036e-7 TUSD / sq. mile High-End Estimate (USD): 259.0025,900 centUSD 0.259 kUSD 2.59e-4 MUSD 2.59e-7 TUSD / sq. mile

37

Trace Element Analysis | Open Energy Information  

Open Energy Info (EERE)

Trace Element Analysis Trace Element Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Trace Element Analysis Details Activities (8) Areas (8) Regions (4) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Fluid Lab Analysis Parent Exploration Technique: Fluid Lab Analysis Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Reconstructing the fluid circulation of a hydrothermal system Thermal: Cost Information Low-End Estimate (USD): 15.001,500 centUSD 0.015 kUSD 1.5e-5 MUSD 1.5e-8 TUSD / element Median Estimate (USD): 18.001,800 centUSD 0.018 kUSD 1.8e-5 MUSD 1.8e-8 TUSD / element High-End Estimate (USD): 106.0010,600 centUSD 0.106 kUSD 1.06e-4 MUSD 1.06e-7 TUSD / element

38

LiDAR | Open Energy Information  

Open Energy Info (EERE)

LiDAR LiDAR Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: LiDAR Details Activities (10) Areas (5) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Active Sensors Parent Exploration Technique: Active Sensors Information Provided by Technique Lithology: Stratigraphic/Structural: delineate faults, create high-resolution DEMS, quantify fault kinemaics, develop lineament maps Hydrological: Thermal: Cost Information Low-End Estimate (USD): 300.0030,000 centUSD 0.3 kUSD 3.0e-4 MUSD 3.0e-7 TUSD / sq. mile Median Estimate (USD): 850.0085,000 centUSD 0.85 kUSD 8.5e-4 MUSD 8.5e-7 TUSD / sq. mile High-End Estimate (USD): 1,300.00130,000 centUSD 1.3 kUSD 0.0013 MUSD 1.3e-6 TUSD / sq. mile

39

Macrophotography | Open Energy Information  

Open Energy Info (EERE)

Macrophotography Macrophotography Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Macrophotography Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Identify and document surface geology and mineralogy Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 220.0022,000 centUSD 0.22 kUSD 2.2e-4 MUSD 2.2e-7 TUSD / hour Median Estimate (USD): 220.0022,000 centUSD 0.22 kUSD 2.2e-4 MUSD 2.2e-7 TUSD / hour High-End Estimate (USD): 500.0050,000 centUSD 0.5 kUSD 5.0e-4 MUSD 5.0e-7 TUSD / hour Time Required

40

2-M Probe Survey | Open Energy Information  

Open Energy Info (EERE)

2-M Probe Survey 2-M Probe Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: 2-M Probe Survey Details Activities (27) Areas (21) Regions (0) NEPA(3) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Identify and delineate shallow thermal anomalies Cost Information Low-End Estimate (USD): 200.0020,000 centUSD 0.2 kUSD 2.0e-4 MUSD 2.0e-7 TUSD / station Median Estimate (USD): 300.0030,000 centUSD 0.3 kUSD 3.0e-4 MUSD 3.0e-7 TUSD / station High-End Estimate (USD): 500.0050,000 centUSD 0.5 kUSD 5.0e-4 MUSD 5.0e-7 TUSD / station

Note: This page contains sample records for the topic "low-end estimate usd" 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

Oblique Aerial & Ground Visible Band & Thermographic Imaging | Open Energy  

Open Energy Info (EERE)

Oblique Aerial & Ground Visible Band & Thermographic Imaging Oblique Aerial & Ground Visible Band & Thermographic Imaging Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Oblique Aerial & Ground Visible Band & Thermographic Imaging Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 400.0040,000 centUSD 0.4 kUSD 4.0e-4 MUSD 4.0e-7 TUSD / Subject Median Estimate (USD): 450.0045,000 centUSD 0.45 kUSD 4.5e-4 MUSD 4.5e-7 TUSD / Subject High-End Estimate (USD): 6,000.00600,000 centUSD

42

Controlled Source Frequency-Domain Magnetics | Open Energy Information  

Open Energy Info (EERE)

Controlled Source Frequency-Domain Magnetics Controlled Source Frequency-Domain Magnetics Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Controlled Source Frequency-Domain Magnetics Details Activities (2) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Magnetic Techniques Parent Exploration Technique: Magnetic Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Locate geothermal groundwater and flow patterns. Thermal: Cost Information Low-End Estimate (USD): 12,000.001,200,000 centUSD 12 kUSD 0.012 MUSD 1.2e-5 TUSD / mile Median Estimate (USD): 18,000.001,800,000 centUSD 18 kUSD 0.018 MUSD 1.8e-5 TUSD / mile High-End Estimate (USD): 25,000.002,500,000 centUSD

43

Aerial Photography | Open Energy Information  

Open Energy Info (EERE)

Aerial Photography Aerial Photography Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Aerial Photography Details Activities (10) Areas (9) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: Stratigraphic/Structural: map structures/faults Hydrological: map surface water features Thermal: if photos taken in winter snow cover, can map thermal anomalies Cost Information Low-End Estimate (USD): 100.3610,036 centUSD 0.1 kUSD 1.0036e-4 MUSD 1.0036e-7 TUSD / sq. mile Median Estimate (USD): 240.5424,054 centUSD 0.241 kUSD 2.4054e-4 MUSD 2.4054e-7 TUSD / sq. mile High-End Estimate (USD): 2,360.00236,000 centUSD

44

Geographic Information System | Open Energy Information  

Open Energy Info (EERE)

Geographic Information System Geographic Information System Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Geographic Information System Details Activities (24) Areas (11) Regions (4) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Data Techniques Parent Exploration Technique: Data Techniques Information Provided by Technique Lithology: Any mapable information Stratigraphic/Structural: Any mapable information Hydrological: Any mapable information Thermal: Any mapable information Cost Information Low-End Estimate (USD): 70.007,000 centUSD 0.07 kUSD 7.0e-5 MUSD 7.0e-8 TUSD / hour Median Estimate (USD): 80.008,000 centUSD 0.08 kUSD 8.0e-5 MUSD 8.0e-8 TUSD / hour High-End Estimate (USD): 150.0015,000 centUSD

45

Slim Holes | Open Energy Information  

Open Energy Info (EERE)

Slim Holes Slim Holes Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Slim Holes Details Activities (30) Areas (24) Regions (1) NEPA(6) Exploration Technique Information Exploration Group: Drilling Techniques Exploration Sub Group: Exploration Drilling Parent Exploration Technique: Exploration Drilling Information Provided by Technique Lithology: If core is collected Stratigraphic/Structural: If core is collected Hydrological: Fluid flow and water chemistry Thermal: Thermal gradient or bottom hole temperature Cost Information Low-End Estimate (USD): 100.0010,000 centUSD 0.1 kUSD 1.0e-4 MUSD 1.0e-7 TUSD / foot Median Estimate (USD): 169.8916,989 centUSD 0.17 kUSD 1.6989e-4 MUSD 1.6989e-7 TUSD / foot High-End Estimate (USD): 200.0020,000 centUSD

46

Mud Logging | Open Energy Information  

Open Energy Info (EERE)

Mud Logging Mud Logging Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Mud Logging Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Log Techniques Parent Exploration Technique: Well Log Techniques Information Provided by Technique Lithology: Lithological layers are identified from drill cuttings Stratigraphic/Structural: Porosity of rocks Hydrological: Fluid content of the borehole while drilling can be determined Thermal: Cost Information Low-End Estimate (USD): 1,300.00130,000 centUSD 1.3 kUSD 0.0013 MUSD 1.3e-6 TUSD / day Median Estimate (USD): 1,450.00145,000 centUSD 1.45 kUSD 0.00145 MUSD 1.45e-6 TUSD / day High-End Estimate (USD): 2,000.00200,000 centUSD

47

Thermal Gradient Holes | Open Energy Information  

Open Energy Info (EERE)

Thermal Gradient Holes Thermal Gradient Holes Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Thermal Gradient Holes Details Activities (50) Areas (39) Regions (4) NEPA(29) Exploration Technique Information Exploration Group: Drilling Techniques Exploration Sub Group: Exploration Drilling Parent Exploration Technique: Exploration Drilling Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Field wide fluid flow characteristics if an array of wells are drilled Thermal: Mapping and projecting thermal anomalies Cost Information Low-End Estimate (USD): 5.00500 centUSD 0.005 kUSD 5.0e-6 MUSD 5.0e-9 TUSD / foot Median Estimate (USD): 16.501,650 centUSD 0.0165 kUSD 1.65e-5 MUSD 1.65e-8 TUSD / foot High-End Estimate (USD): 50.005,000 centUSD

48

Fluid Inclusion Analysis | Open Energy Information  

Open Energy Info (EERE)

Fluid Inclusion Analysis Fluid Inclusion Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Fluid Inclusion Analysis Details Activities (20) Areas (11) Regions (1) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Fluid Lab Analysis Parent Exploration Technique: Fluid Lab Analysis Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Fluid composition at a point in time and space Thermal: The minimum temperature of fluid inclusion formation Cost Information Low-End Estimate (USD): 17.571,757 centUSD 0.0176 kUSD 1.757e-5 MUSD 1.757e-8 TUSD / sample Median Estimate (USD): 17.571,757 centUSD 0.0176 kUSD 1.757e-5 MUSD 1.757e-8 TUSD / sample High-End Estimate (USD): 26.782,678 centUSD

49

Stereo Satellite Imagery | Open Energy Information  

Open Energy Info (EERE)

Stereo Satellite Imagery Stereo Satellite Imagery Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Stereo Satellite Imagery Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: Stratigraphic/Structural: map structures/faults Hydrological: map surface water features, determine the boundary conditions of hydrothermal circulation Thermal: Cost Information Low-End Estimate (USD): 259.0025,900 centUSD 0.259 kUSD 2.59e-4 MUSD 2.59e-7 TUSD / sq. mile Median Estimate (USD): 282.3128,231 centUSD 0.282 kUSD 2.8231e-4 MUSD 2.8231e-7 TUSD / sq. mile High-End Estimate (USD): 362.6036,260 centUSD

50

Caliper Log | Open Energy Information  

Open Energy Info (EERE)

Caliper Log Caliper Log Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Caliper Log Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Log Techniques Parent Exploration Technique: Well Log Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 0.4040 centUSD 4.0e-4 kUSD 4.0e-7 MUSD 4.0e-10 TUSD / foot Median Estimate (USD): 0.7878 centUSD 7.8e-4 kUSD 7.8e-7 MUSD 7.8e-10 TUSD / foot High-End Estimate (USD): 3.00300 centUSD 0.003 kUSD 3.0e-6 MUSD 3.0e-9 TUSD / foot Time Required Low-End Estimate: 0.35 days9.582478e-4 years 8.4 hours 0.05 weeks 0.0115 months / job

51

SAR | Open Energy Information  

Open Energy Info (EERE)

SAR SAR Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: SAR Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Active Sensors Parent Exploration Technique: Radar Information Provided by Technique Lithology: Stratigraphic/Structural: create high-resolution DEMs, detect fault and ground movement Hydrological: Thermal: Cost Information Low-End Estimate (USD): 10.441,044 centUSD 0.0104 kUSD 1.044e-5 MUSD 1.044e-8 TUSD / sq. mile Median Estimate (USD): 59.575,957 centUSD 0.0596 kUSD 5.957e-5 MUSD 5.957e-8 TUSD / sq. mile High-End Estimate (USD): 673.4067,340 centUSD 0.673 kUSD 6.734e-4 MUSD 6.734e-7 TUSD / sq. mile Time Required Low-End Estimate: 21 days0.0575 years

52

Data Acquisition-Manipulation | Open Energy Information  

Open Energy Info (EERE)

Data Acquisition-Manipulation Data Acquisition-Manipulation Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Data Acquisition-Manipulation Details Activities (37) Areas (24) Regions (6) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Data Techniques Parent Exploration Technique: Data Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 60.006,000 centUSD 0.06 kUSD 6.0e-5 MUSD 6.0e-8 TUSD / hour Median Estimate (USD): 250.0025,000 centUSD 0.25 kUSD 2.5e-4 MUSD 2.5e-7 TUSD / hour High-End Estimate (USD): 500.0050,000 centUSD 0.5 kUSD 5.0e-4 MUSD 5.0e-7 TUSD / hour Time Required Low-End Estimate: 5 days0.0137 years

53

Cement Bond Log | Open Energy Information  

Open Energy Info (EERE)

Cement Bond Log Cement Bond Log Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Cement Bond Log Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Log Techniques Parent Exploration Technique: Acoustic Logs Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 0.8585 centUSD 8.5e-4 kUSD 8.5e-7 MUSD 8.5e-10 TUSD / foot Median Estimate (USD): 1.25125 centUSD 0.00125 kUSD 1.25e-6 MUSD 1.25e-9 TUSD / foot High-End Estimate (USD): 3.00300 centUSD 0.003 kUSD 3.0e-6 MUSD 3.0e-9 TUSD / foot Time Required Low-End Estimate: 0.35 days9.582478e-4 years 8.4 hours 0.05 weeks 0.0115 months / job

54

Airborne Electromagnetic Survey | Open Energy Information  

Open Energy Info (EERE)

Airborne Electromagnetic Survey Airborne Electromagnetic Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Airborne Electromagnetic Survey Details Activities (2) Areas (2) Regions (0) NEPA(1) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Electromagnetic Techniques Information Provided by Technique Lithology: provide data on rock type and mineral content Stratigraphic/Structural: Hydrological: can be used to detect changes in density of fluids and indicate if there is salt water intrusion Thermal: Cost Information Low-End Estimate (USD): 48.274,827 centUSD 0.0483 kUSD 4.827e-5 MUSD 4.827e-8 TUSD / mile Median Estimate (USD): 317.3831,738 centUSD 0.317 kUSD

55

Refraction Survey | Open Energy Information  

Open Energy Info (EERE)

Refraction Survey Refraction Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Refraction Survey Details Activities (16) Areas (13) Regions (5) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Seismic Techniques Parent Exploration Technique: Active Seismic Techniques Information Provided by Technique Lithology: Rock unit density influences elastic wave velocities. Stratigraphic/Structural: Can provide information on crustal thickness, depth to basement. Hydrological: Thermal: Cost Information Low-End Estimate (USD): 6,206.80620,680 centUSD 6.207 kUSD 0.00621 MUSD 6.2068e-6 TUSD / mile Median Estimate (USD): 10,877.331,087,733 centUSD 10.877 kUSD 0.0109 MUSD 1.087733e-5 TUSD / mile

56

Geothermal Literature Review | Open Energy Information  

Open Energy Info (EERE)

Geothermal Literature Review Geothermal Literature Review Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Geothermal Literature Review Details Activities (40) Areas (25) Regions (4) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Data Techniques Parent Exploration Technique: Data Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 60.006,000 centUSD 0.06 kUSD 6.0e-5 MUSD 6.0e-8 TUSD / hour Median Estimate (USD): 200.0020,000 centUSD 0.2 kUSD 2.0e-4 MUSD 2.0e-7 TUSD / hour High-End Estimate (USD): 250.0025,000 centUSD 0.25 kUSD 2.5e-4 MUSD 2.5e-7 TUSD / hour Dictionary.png Geothermal Literature Review: A review of previously documented knowledge about an area to compile the

57

Frequency-Domain Electromagnetic Survey | Open Energy Information  

Open Energy Info (EERE)

Frequency-Domain Electromagnetic Survey Frequency-Domain Electromagnetic Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Frequency-Domain Electromagnetic Survey Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Electromagnetic Profiling Techniques Information Provided by Technique Lithology: Detection of high-conductivity bodies in the subsurface. Stratigraphic/Structural: Hydrological: Thermal: Detection of the presence of a thermal anomaly through its resistivity signature. Cost Information Low-End Estimate (USD): 2,928.38292,838 centUSD 2.928 kUSD 0.00293 MUSD 2.92838e-6 TUSD / mile Median Estimate (USD): 4,505.20450,520 centUSD

58

Modeling-Computer Simulations | Open Energy Information  

Open Energy Info (EERE)

Modeling-Computer Simulations Modeling-Computer Simulations Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Modeling-Computer Simulations Details Activities (78) Areas (31) Regions (5) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Stress fields and magnitudes Hydrological: Visualization and prediction of the flow patterns and characteristics of geothermal fluids Thermal: Thermal conduction and convection patterns in the subsurface Cost Information Low-End Estimate (USD): 85.008,500 centUSD 0.085 kUSD 8.5e-5 MUSD 8.5e-8 TUSD / hour Median Estimate (USD): 195.0019,500 centUSD

59

Multispectral Imaging | Open Energy Information  

Open Energy Info (EERE)

Multispectral Imaging Multispectral Imaging Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Multispectral Imaging Details Activities (35) Areas (22) Regions (1) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: relative mineral maps Stratigraphic/Structural: aerial photographs can show structures Hydrological: delineate locations of surface water features Thermal: vegetation maps can show plants stressed due to nearby thermal activity Cost Information Low-End Estimate (USD): 10.001,000 centUSD 0.01 kUSD 1.0e-5 MUSD 1.0e-8 TUSD / sq. mile Median Estimate (USD): 370.2337,023 centUSD

60

Gamma Log | Open Energy Information  

Open Energy Info (EERE)

Gamma Log Gamma Log Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Gamma Log Details Activities (6) Areas (6) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Log Techniques Parent Exploration Technique: Well Log Techniques Information Provided by Technique Lithology: provides information on changes in rock type near the wellbore from changes in measured gamma radiation Stratigraphic/Structural: using multiple gamma logs over an area, the depth to the sandstone and shale layers can be correlated over larger areas Hydrological: Thermal: Cost Information Low-End Estimate (USD): 0.2525 centUSD 2.5e-4 kUSD 2.5e-7 MUSD 2.5e-10 TUSD / foot Median Estimate (USD): 0.3838 centUSD

Note: This page contains sample records for the topic "low-end estimate usd" 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

Compound and Elemental Analysis | Open Energy Information  

Open Energy Info (EERE)

Compound and Elemental Analysis Compound and Elemental Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Compound and Elemental Analysis Details Activities (104) Areas (69) Regions (6) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Fluid Lab Analysis Parent Exploration Technique: Fluid Lab Analysis Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Results can aid in the determination of fluid source regions and circulation pathways. Thermal: Certain elements exhibit high spatial correlation with high-temperature geothermal systems. Cost Information Low-End Estimate (USD): 15.001,500 centUSD 0.015 kUSD 1.5e-5 MUSD 1.5e-8 TUSD / compound Median Estimate (USD): 30.003,000 centUSD

62

Density Log | Open Energy Information  

Open Energy Info (EERE)

Density Log Density Log Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Density Log Details Activities (6) Areas (6) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Log Techniques Parent Exploration Technique: Well Log Techniques Information Provided by Technique Lithology: provides data on the bulk density of the rock surrounding the well Stratigraphic/Structural: Stratigraphic correlation between well bores. Hydrological: Porosity of the formations loggesd can be calculated for the Density log andprovide an indication potential aquifers. Thermal: Cost Information Low-End Estimate (USD): 0.4040 centUSD 4.0e-4 kUSD 4.0e-7 MUSD 4.0e-10 TUSD / foot Median Estimate (USD): 0.6868 centUSD

63

Core Analysis | Open Energy Information  

Open Energy Info (EERE)

Core Analysis Core Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Core Analysis Details Activities (41) Areas (28) Regions (2) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Rock Lab Analysis Parent Exploration Technique: Rock Lab Analysis Information Provided by Technique Lithology: Core analysis is done to define lithology. Stratigraphic/Structural: Core analysis can locate faults or fracture networks. Oriented core can give additional important information on anisotropy. Hydrological: Thermal: Thermal conductivity can be measured from core samples. Cost Information Low-End Estimate (USD): 2,000.00200,000 centUSD 2 kUSD 0.002 MUSD 2.0e-6 TUSD / 30 foot core Median Estimate (USD): 10,000.001,000,000 centUSD

64

Field Mapping | Open Energy Information  

Open Energy Info (EERE)

Field Mapping Field Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Field Mapping Details Activities (59) Areas (35) Regions (6) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Map surface geology and hydrothermal alteration. Stratigraphic/Structural: Map fault and fracture patterns, kinematic information. Hydrological: Map surface manifestations of geothermal systems. Thermal: Map surface temperature. Cost Information Low-End Estimate (USD): 400.0040,000 centUSD 0.4 kUSD 4.0e-4 MUSD 4.0e-7 TUSD / hour Median Estimate (USD): 600.0060,000 centUSD

65

USD 422 Greensburg K-12 School  

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

Originally destroyed by the tornado, Greensburg's new K-12 Originally destroyed by the tornado, Greensburg's new K-12 School was built green from the ground up and completed in time for the 2010-2011 academic school year. The 120,000-square- foot, two-story facility holds more than 300 students ranging from preschoolers to high-school seniors. With the goal of achieving 60% energy savings and the U.S. Green Building Council's Leadership in Energy and Environmental Design (LEED ® ) Platinum for Schools certification, the school incorporates many energy efficiency and renewable energy features. ENERGY EFFICIENCY FEATURES * East to west building orientation takes advantage of abundant natural daylight and helps warm the interior in the winter * Daylighting significantly reduces electrical lighting in classrooms, corridors, the gym, and regularly

66

Controlled Source Audio MT | Open Energy Information  

Open Energy Info (EERE)

Controlled Source Audio MT Controlled Source Audio MT Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Controlled Source Audio MT Details Activities (5) Areas (5) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Magnetotelluric Techniques Information Provided by Technique Lithology: Rock composition, mineral and clay content Stratigraphic/Structural: Detection of permeable pathways, fracture zones, faults Hydrological: Resistivity influenced by porosity, grain size distribution, permeability, fluid saturation, fluid type and phase state of the pore water Thermal: Resistivity influenced by temperature Cost Information Low-End Estimate (USD): 1,866.44186,644 centUSD

67

Microgravity-Hybrid Microgravity | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Microgravity-Hybrid Microgravity Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Microgravity-Hybrid Microgravity Details Activities (0) Areas (0) Regions (0) NEPA(1) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Gravity Techniques Parent Exploration Technique: Gravity Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Ground subsidence can be mapped using microgravity Hydrological: Monitoring net mass changes of a geothermal reservoir due to production and reinjection processes Thermal: Changes in liquid density due to temperature changes in the reservoir Cost Information Low-End Estimate (USD): 50.005,000 centUSD

68

Aeromagnetic Survey | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Aeromagnetic Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Aeromagnetic Survey Details Activities (26) Areas (19) Regions (1) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Magnetic Techniques Parent Exploration Technique: Magnetic Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: map structure, basin fill thickness, and magnetic mineral concentrations in ore bodies Hydrological: Thermal: Cost Information Low-End Estimate (USD): 22.532,253 centUSD

69

Magnetotellurics | Open Energy Information  

Open Energy Info (EERE)

Magnetotellurics Magnetotellurics Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Magnetotellurics Details Activities (39) Areas (36) Regions (5) NEPA(8) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Magnetotelluric Techniques Information Provided by Technique Lithology: Rock composition, mineral and clay content Stratigraphic/Structural: Detection of permeable pathways, fracture zones, faults Hydrological: Resistivity influenced by porosity, grain size distribution, permeability, fluid saturation, fluid type and phase state of the pore water Thermal: Resistivity influenced by temperature Cost Information Low-End Estimate (USD): 522.2252,222 centUSD

70

Audio-Magnetotellurics | Open Energy Information  

Open Energy Info (EERE)

Audio-Magnetotellurics Audio-Magnetotellurics Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Audio-Magnetotellurics Details Activities (4) Areas (4) Regions (0) NEPA(1) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Magnetotelluric Techniques Information Provided by Technique Lithology: Rock composition, mineral and clay content Stratigraphic/Structural: Detection of permeable pathways, fracture zones, faults Hydrological: Resistivity influenced by porosity, grain size distribution, permeability, fluid saturation, fluid type and phase state of the pore water Thermal: Resistivity influenced by temperature Cost Information Low-End Estimate (USD): 1,118.26111,826 centUSD

71

Telluric Survey | Open Energy Information  

Open Energy Info (EERE)

Telluric Survey Telluric Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Telluric Survey Details Activities (3) Areas (3) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Electromagnetic Sounding Techniques Information Provided by Technique Lithology: Rock composition, mineral and clay content Stratigraphic/Structural: Detection of permeable pathways, fracture zones, faults Hydrological: Resistivity influenced by porosity, grain size distribution, permeability, fluid saturation, fluid type and phase state of the pore water Thermal: Resistivity influenced by temperature Cost Information Low-End Estimate (USD): 522.2252,222 centUSD

72

Hyperspectral Imaging | Open Energy Information  

Open Energy Info (EERE)

Hyperspectral Imaging Hyperspectral Imaging Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Hyperspectral Imaging Details Activities (4) Areas (4) Regions (1) NEPA(1) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: mineral maps can be used to show the presence of hydrothermal minerals and mineral assemblages Stratigraphic/Structural: aerial photographs can show structures Hydrological: delineate locations of surface water features Thermal: vegetation maps can show plants stressed due to nearby thermal activity Cost Information Low-End Estimate (USD): 8.63863 centUSD 0.00863 kUSD 8.63e-6 MUSD

73

Rock Density | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Rock Density Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Rock Density Details Activities (2) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Rock Lab Analysis Parent Exploration Technique: Rock Lab Analysis Information Provided by Technique Lithology: Density of different lithologic units. Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 10.001,000 centUSD 0.01 kUSD 1.0e-5 MUSD 1.0e-8 TUSD / sample

74

Pressure Temperature Log | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Pressure Temperature Log Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Pressure Temperature Log Details Activities (13) Areas (13) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Log Techniques Parent Exploration Technique: Well Log Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Perturbations in temperature or pressure can be indicative of faults or other structural features Hydrological: fluid cirulation, over-pressured zones, and under-pressured zones. Thermal: Temperature profile with depth Cost Information Low-End Estimate (USD): 0.6060 centUSD 6.0e-4 kUSD

75

Estimating Methods  

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

Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

1997-03-28T23:59:59.000Z

76

Template:ExplorationTechnique | Open Energy Information  

Open Energy Info (EERE)

'ExplorationTechnique' template. To define a new Exploration 'ExplorationTechnique' template. To define a new Exploration Technique, please use the Exploration Technique Form. Parameters Definition - A link to the OpenEI definition of the technique (optional) ExplorationGroup - ExplorationSubGroup - ParentExplorationTechnique - parent technique for relationship tree LithologyInfo - the type of lithology information this technique could provide StratInfo - the type of stratigraphic and/or structural information this technique could provide HydroInfo - the type of hydrogeology information this technique could provide ThermalInfo - the type of temperature information this technique could provide EstimatedCostLowUSD - the estimated value only of the low end of the cost range (units described in CostUnit) EstimatedCostMedianUSD - the estimated value only of the median cost

77

Template:ExplorationGroup | Open Energy Information  

Open Energy Info (EERE)

ExplorationGroup ExplorationGroup Jump to: navigation, search This is the 'ExplorationGroup' template. To define a new Exploration Technique, please use the Exploration Group Form. Parameters Definition - A link to the OpenEI definition of the technique (optional) ExplorationGroup - ExplorationSubGroup - LithologyInfo - the type of lithology information this technique could provide StratInfo - the type of stratigraphic and/or structural information this technique could provide HydroInfo - the type of hydrogeology information this technique could provide ThermalInfo - the type of temperature information this technique could provide EstimatedCostLowUSD - the estimated value only of the low end of the cost range (units described in CostUnit) EstimatedCostMedianUSD - the estimated value only of the median cost

78

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...

79

220023-2007USD iFOLD Protein Refolding Systems  

E-Print Network [OSTI]

+ 1.0 mM GSSG .0 mM GSH + 4.0 mM GSSG 1.0 mM EDTA 1.0 mM EDTA 1.0 mM each of CaCl2 and MgCl2 0.25 mM each of CaCl2 , MgCl2 , MnCl2 and ZnCl2 0.5 M GuHCl 0.5 or 1.0 M NDSB-201 0.5 or 1.0 M NDSB-25 20

Lebendiker, Mario

80

Assessment of the impacts on health due to the emissions of Cuban power plants that use fossil fuel oils with high content of sulfur. Estimation of external costs  

Science Journals Connector (OSTI)

Fossil fuel electricity generation has been demonstrated to be a main source of atmospheric pollution. The necessity of finding out a balance between the costs of achieving a lower level of environmental and health injury and the benefits of providing electricity at a reasonable cost have lead to the process of estimating the external costs derived from these impacts and not included in the electricity prices as a quantitative measure of it that, even when there are large uncertainties involved, can be used by decision makers in the process of achieving a global sustainable development. The external costs of the electricity generation in three Cuban power plants that use fossil fuel oils with high sulfur content have been assessed. With that purpose a specific implementation of the Impact Pathways Methodology for atmospheric emissions was developed. Dispersion of atmospheric pollutants is modeled at local and regional scales in a detailed way. Health impacts include mortality and those morbidity effects that showed relation with the increment of selected pollutant concentration in national studies. The external cost assessed for the three plants was 40,588,309 USD yr?1 (min./max.: 10,194,833/169,013,252), representing 1.06 USD Cent kWh?1. Costs derived from sulfur species (SO2 and sulfate aerosol) stand for 93% of the total costs.

L. Turtós Carbonell; E. Meneses Ruiz; M. Sánchez Gácita; J. Rivero Oliva; N. Díaz Rivero

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "low-end estimate usd" 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

Internal Dose Estimates from  

E-Print Network [OSTI]

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population;TABLE OF CONTENTS Page F- Part I. Estimates of Dose...........................................................................................40 Comparison to dose estimates from global fallout

82

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

83

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

84

Radiation Dose Estimates from  

E-Print Network [OSTI]

Summary: Radiation Dose Estimates from Hanford Radioactive Material Releases to the Air- tantly, what radiation dose people may have received. An independent Technical Steering Panel (TSP, additionalProjectworkcouldresultin revisions of these dose estimates. April 21, 1994 Companion

85

State Energy Production Estimates  

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

State Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052...

86

Types of Cost Estimates  

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

The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

1997-03-28T23:59:59.000Z

87

External Dose Estimates from  

E-Print Network [OSTI]

Appendix G External Dose Estimates from Global Fallout G-1 #12;External Radiation Exposure-MQ-003539 March 15, 2000 G-2 #12;Abstract This report provides estimates of the external radiation-62. Estimates are given on a county by county basis for each month from 1953-1972. The average population dose

88

External Dose Estimates from  

E-Print Network [OSTI]

Appendix E External Dose Estimates from NTS Fallout E-1 #12;External Radiation Exposure. 1, 1999) E-2 #12;Abstract This report provides estimates of the external radiation exposure of this report to: "Prepare crude estimates of the doses from external irradiation received by the American

89

Introduction Estimation paramtrique (exemples)  

E-Print Network [OSTI]

Introduction Estimation paramétrique (exemples) FARMAN : Laboratoire SATIE Jean-Pierre Barbot J.P. Barbot Séminaires FARMAN (Traitement du Signal) - 1/36 #12;Introduction Estimation paramétrique (exemples de paramètres de synchronisation (VDSL 2) J.P. Barbot Séminaires FARMAN (Traitement du Signal) - 2

90

Internal Dose Estimates from  

E-Print Network [OSTI]

Appendix H Internal Dose Estimates from Global Fallout H-1 #12;Radiation Dose to the Population. 263-MQ-008090 September 30, 2000 H-2 #12;Radiation Dose to the Population of the Continental United Site Part I. Estimates of Dose Lynn R. Anspaugh Lynn R. Anspaugh, Consulting Salt Lake City, UT Report

91

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

92

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

Estimates of state energy-related carbon dioxide emissions Estimates of state energy-related carbon dioxide emissions Because energy-related carbon dioxide (CO 2 ) constitutes over 80 percent of total emissions, the state energy-related CO 2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO 2 are based on data contained in the State Energy Data System (SEDS). 1 The state-level emissions estimates are based on energy consumption data for the following fuel categories: three categories of coal (residential/commercial, industrial, and electric power sector); natural gas; and ten petroleum products including-- asphalt and road oil, aviation gasoline, distillate fuel, jet fuel, kerosene, liquefied petroleum gases

93

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

94

: Helmholtz machine estimation .  

E-Print Network [OSTI]

: Helmholtz machine density estimation . . : . . . (supervised learning) , (active learning) (query learning) [1, 3]. . (unsupervised learning), . , [5]. . Helmholtz machine , . Helmholtz machine : Helmholtz machine [2] . Helmholtz machine (generative network) (recognition network) . , , . Helmholtz machine (self

95

Weekly Coal Production Estimation Methodology  

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

Weekly Coal Production Estimation Methodology Step 1 (Estimate total amount of weekly U.S. coal production) U.S. coal production for the current week is estimated using a ratio...

96

REQUESTS FOR RETIREMENT ESTIMATE  

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

REQUEST FOR RETIREMENT ANNUITY ESTIMATE REQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions: Please read and answer the following questions thoroughly to include checking all applicable boxes. Unanswered questions may delay processing. Print and Fax back your request form to 202.586.6395 or drop request to GM-169. The request will be assigned to your servicing retirement specialist. They will confirm receipt of your request. SECTION A Request Submitted _____________________ ______________________ ________________________ _____________________ Name (last, first, middle) Last four SSN Date of Birth ___________________________ _________________________ __________________________ Organization Office Telephone Number Fax Number

97

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

98

SPACE TECHNOLOGY Actual Estimate  

E-Print Network [OSTI]

SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE TECHNOLOGY OVERVIEW .............................. TECH- 2 SBIR AND STTR

99

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

100

Reinforcing flood–risk estimation  

Science Journals Connector (OSTI)

...publication of the Flood estimation handbook, studies of ood risk are now...especially for its neglect of the physics of catchment pro- cesses of...recommended in the Flood estimation handbook (Institute of Hydrology 1999...estimates. The Flood estimation handbook (Institute of Hydrology 1999...

2002-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "low-end estimate usd" 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

Los Alamos PC estimating system  

SciTech Connect (OSTI)

The Los Alamos Cost Estimating System (QUEST) is being converted to run on IBM personal computers. This very extensive estimating system is capable of supporting cost estimators from many different and varied fields. QUEST does not dictate any fixed method for estimating. QUEST supports many styles and levels of detail estimating. QUEST can be used with or without data bases. This system allows the estimator to provide reports based on levels of detail defined by combining work breakdown structures. QUEST provides a set of tools for doing any type of estimate without forcing the estimator to use any given method. The level of detail in the estimate can be mixed based on the amount of information known about different parts of the project. The system can support many different data bases simultaneously. Estimators can modify any cost in any data base.

Stutz, R.A.; Lemon, G.D.

1987-01-01T23:59:59.000Z

102

NPP Estimation for Grasslands  

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

NPP for Grasslands NPP for Grasslands Introduction The Oak Ridge DAAC Net Primary Production (NPP) Database includes field measurements from grassland study sites worldwide. The following brief review and discussion is intended to explain the complexity of NPP estimates derived from grassland measurements. There is no single answer to the question, "What is the productivity of the ecosystem at study site A?"; rather there may be range of estimates of NPP, depending upon what data were actually collected and how these data are processed. Although some of these methods for determining NPP for grasslands may be applicable to other vegetation types (e.g., semi-deserts, tundra, or some crops), methods for forests, in particular, are significantly different. Nevertheless, it should be possible to answer the question, "Is this modelled value of NPP reasonable for this ecosystem type at this location?"

103

Parameter Estimation Through Ignorance  

E-Print Network [OSTI]

Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.

Hailiang Du; Leonard A. Smith

2012-06-06T23:59:59.000Z

104

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

105

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

106

5, 30473104, 2005 Estimates of  

E-Print Network [OSTI]

parametrisations, one relating convective preciptation (CP scheme) to lightning flash15 distributionsACPD 5, 3047­3104, 2005 Estimates of lightning NOx production K. F. Boersma et al. Title Page Discussions Estimates of lightning NOx production from GOME satellite observations K. F. Boersma, H. J. Eskes

Paris-Sud XI, Université de

107

Energy Expenditure Estimation DEMO Application  

E-Print Network [OSTI]

of accelerometry. An average smart phone contains an inertial sensor and today we hardly leave our home without itEnergy Expenditure Estimation DEMO Application Bozidara Cvetkovi´c1,2 , Simon Kozina1,2 , Bostjan://www.mps.si Abstract. The paper presents two prototypes for the estimation of hu- man energy expenditure during normal

LuÂ?trek, Mitja

108

Reinforcing flood–risk estimation  

Science Journals Connector (OSTI)

...However, most ood-risk estimates support decisions...charac- ter. These are investment decisions, where the...current level of ood risk, making improvements...generated a national ood-risk map with a high political and societal impact...

2002-01-01T23:59:59.000Z

109

Estimation of resources and reserves  

E-Print Network [OSTI]

This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

Massachusetts Institute of Technology. Energy Laboratory.

1982-01-01T23:59:59.000Z

110

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

111

7 - Estimation of Radiation Doses  

Science Journals Connector (OSTI)

Abstract Radiation doses to the Japanese population from inhalation of contaminated air, external irradiation, terrestrial and marine food contamination are estimated and compared with other sources of anthropogenic (global fallout, Chernobyl accident), natural (radionuclides in food, cosmic radiation) and medical applications (X-ray tests, CT-tests, etc.) of ionizing radiation. The estimated doses from inhalation, ingestion of terrestrial and marine food, and radiation exposure from radioactive clouds and deposited radionuclides were generally below the levels which could cause health damage of the Japanese population, as well as of the world population. The estimated total radiation doses to fish and shellfish in coastal waters during the largest radionuclide releases were by a factor of 10 lower than the baseline safe level postulated for the marine organisms, therefore no harmful effects are expected for the marine ecosystem as well.

Pavel P. Povinec; Katsumi Hirose; Michio Aoyama

2013-01-01T23:59:59.000Z

112

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

113

Estimate sequence methods: extensions and approximations  

E-Print Network [OSTI]

Aug 11, 2009 ... Estimate sequence methods: extensions and approximations ... or both, and draw some guidelines on the design of further estimate sequence ...

Michel Baes

2009-08-11T23:59:59.000Z

114

BPA Metering Services Editing and Estimating Procedures  

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

Editing and Estimating Interval Data 1. Introduction This section defines the meter interval data editing and estimation techniques performed by BPA's Metering Services...

115

ORISE: Radiation Dose Estimates and Other Compendia  

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

downloaded free from the Adobe website. Early Internal and External Dose Magnitude Estimation (PDF) This article addresses methods that can be used to rapidly estimate internal...

116

Mississippi Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Mississippi Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

117

California Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) California Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

118

Pennsylvania Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Pennsylvania Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

119

Estimating Waste Inventory and Waste Tank Characterization |...  

Office of Environmental Management (EM)

Estimating Waste Inventory and Waste Tank Characterization Estimating Waste Inventory and Waste Tank Characterization Summary Notes from 28 May 2008 Generic Technical Issue...

120

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

Note: This page contains sample records for the topic "low-end estimate usd" 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

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

122

Characterization Of State Estimation Biases  

Science Journals Connector (OSTI)

The control and operation of an electric power system is based on the ability to determine the state of the system in real time. State estimation (SE) has been introduced in the 1960s to achieve this objective. The initial implementation was based on ...

A. P. Sakis Meliopoulos; George K. Stefopoulos

2006-01-01T23:59:59.000Z

123

Trades Estimate Guide September, 2013  

E-Print Network [OSTI]

labor hours are provided using "industry standard" hours. Each trade has an hourly recharge rate. Here are a few examples of why our shops estimates may be considered high. HVAC & SHEET METAL · In the HVAC area. This work can include: required engineering and design, new HVAC equipment to accommodate design

Rose, Michael R.

124

ERROR ESTIMATIONS FOR INDIRECT MEASUREMENTS  

E-Print Network [OSTI]

Chapter 1 ERROR ESTIMATIONS FOR INDIRECT MEASUREMENTS: RANDOMIZED VS. DETERMINISTIC ALGORITHMS difficult or even impossible to directly measure the quantity in which we are interested: e.g., we cannot directly measure a distance to a distant galaxy or the amount of oil in a given well. Since we cannot

Kreinovich, Vladik

125

2012 Proved Reserves Estimation Methodology  

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

-366 11,933 Estimated 818 124 759 0 0 19 0 0 236 1,693 1,658 Imputation for nonresponse Unit and item nonresponse on the EIA-23 is imputed for using the same ratio function that is...

126

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED  

E-Print Network [OSTI]

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED TOMOGRAPHY DATA A. López (a) , R. Molina (b) (a limited due to several factors. These factors include the need of greater computational time than to the projection data to obtain two-dimensional slices or cross sections (images) of activity distribution. #12

Granada, Universidad de

127

Measurement enhancement for state estimation  

E-Print Network [OSTI]

, the control center receives the system-wide device information and measurement data through the Supervisory Control and Data Acquisition (SCADA) system. However, the information and measurement data provided by SCADA may not always be accurate and reliable... estimation use the measurement data from SCADA system, the status information about the circuit breakers (CB), switches and transformer taps, as well as the parameters of transmission lines, transformers, shunts capacitors/reactors and other devices...

Chen, Jian

2009-05-15T23:59:59.000Z

128

Solar sky radiation estimation techniques  

SciTech Connect (OSTI)

Empirical correlations suggested by various authors, for estimating monthly mean daily diffuse irradiation, are compared statistically to test their applicability to the southern African region. The correlations are compared by calculating root mean square error, mean bias error and mean percentage error. The correlations suggested by Gopinathan and Gladius Lewis are found to be most accurate for the southern African region. Equations suggested by Iqbal give poor results and cannot be employed for the region.

Gopinathan, K.K. (National Univ. of Lesotho, Roma (South Africa))

1992-07-01T23:59:59.000Z

129

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

130

Estimation of Density of Biodiesel  

Science Journals Connector (OSTI)

In addition, the numeric value for coefficient e is very small (?0.00001) and the nd(ave) of most biodiesels are not greater than 2. Therefore, the product of e × nd(ave) can be neglected without affecting the accuracy of the calculation and eq 30 is good for estimation of density of biodiesel. ... Interestingly, the %AAD for mixed biodiesel (0.38) is lower than those of pure (0.41%) and total biodiesels. ... (21) The model cannot differentiate a mixed biodiesel from pure biodiesels. ...

Suriya Phankosol; Kaokanya Sudaprasert; Supathra Lilitchan; Kornkanok Aryusuk; Kanit Krisnangkura

2014-06-16T23:59:59.000Z

131

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation  

E-Print Network [OSTI]

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation Chapter 3 University of Amsterdam #12;Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information

Dorst, Leo

132

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

133

Harmonizing Systems and Software Cost Estimation  

E-Print Network [OSTI]

The objective of this paper is to examine the gaps and overlaps between software and systems engineering cost models with intent to harmonize the estimates in engineering engineering estimation. In particular, we evaluate ...

Wang, Gan

2009-07-19T23:59:59.000Z

134

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

135

On coherence in parametric density estimation  

Science Journals Connector (OSTI)

......1990 research-article Miscellanea On coherence in parametric density estimation J...KullbackLeibler directed divergence has this coherence property whereas the corresponding symmetric...estimation is also discussed. Admissibility|Coherence|Kullback-Leibler divergence|Predictive......

J. AITCHISON

1990-12-01T23:59:59.000Z

136

Estimating UV Index Climatology over Canada  

Science Journals Connector (OSTI)

Hourly UV index values at 45 sites in Canada were estimated using a statistical relationship between UV irradiance and global solar radiation, total ozone, and dewpoint temperature. The estimation method also takes into account the enhancement of ...

V. E. Fioletov; J. B. Kerr; L. J. B. McArthur; D. I. Wardle; T. W. Mathews

2003-03-01T23:59:59.000Z

137

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

138

Highly Automated Dipole EStimation , A. Pascarella2  

E-Print Network [OSTI]

filter, HADES (Highly Automatic Dipole EStimation). HADES is an open-source, freely downloadable, Matlab-based

Piana, Michele

139

Statistical Exposure Estimation Spatial Confounding Bias  

E-Print Network [OSTI]

, and 3 Account for spatial correlation in the health outcome data. Applications include air pollution Epidemiology Estimates of chronic health effects of air pollution are identified from cross-sectional (i Exposure Estimation Methods for Air Pollution Often researchers estimate ambient concentrations and use

Paciorek, Chris

140

Risk Estimation; Background Radiation (Natural and Artificial )  

E-Print Network [OSTI]

-threshold mode estimate the response at lower doses. · The Committee on Biological Effects of Ionizing RadiationModule 9 Risk Estimation; Background Radiation (Natural and Artificial ) · sources of background radiation · various risk models. · estimating risk and on the sources of background radiation, both

Massey, Thomas N.

Note: This page contains sample records for the topic "low-end estimate usd" 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

Estimated Ultraviolet Radiation Doses in Wetlands in  

E-Print Network [OSTI]

Estimated Ultraviolet Radiation Doses in Wetlands in Six National Parks Stephen A. Diamond,1 ABSTRACT Ultraviolet-B radiation (UV-B, 280­320-nm wave- lengths) doses were estimated for 1024 wetlands of vegetative features, and quantification of DOC concentration and spectral absorbance. UV-B dose estimates

Knapp, Roland

142

Estimated Cost Description Determination Date:  

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

Title, Location Title, Location Estimated Cost Description Determination Date: 2010 LCLS Undulator 2 is envisioned to be a 0.2 - 2keV FEL x-ray source, capable of delivering x-rays to End Station A (ESA), located in the existing Research Yard at SLAC. It will also be configurable as a non- FEL hard x-ray source capable of delivering a chirped x-ray pulse for single-shot broad-spectrum measurements. The project would entail reconstruction of the electron beam transport to End Station A, construction and installation of a new undulator in the tunnel upstream of ESA and beam dump, and construction and installation of x-ray transport, optics, and diagnostics in ESA. It also includes the construction of an annex to End Station A , providing hutches for experiment stations.

143

Site characterization: a spatial estimation approach  

SciTech Connect (OSTI)

In this report the application of spatial estimation techniques or kriging to groundwater aquifers and geological borehole data is considered. The adequacy of these techniques to reliably develop contour maps from various data sets is investigated. The estimator is developed theoretically in a simplified fashion using vector-matrix calculus. The practice of spatial estimation is discussed and the estimator is then applied to two groundwater aquifer systems and used also to investigate geological formations from borehole data. It is shown that the estimator can provide reasonable results when designed properly.

Candy, J.V.; Mao, N.

1980-10-01T23:59:59.000Z

144

Incremental condition estimation for sparse matrices  

SciTech Connect (OSTI)

Incremental condition estimation provides an estimate for the smallest singular value of a triangular matrix. In particular, it gives a running estimate of the smallest singular value of a triangular factor matrix as the factor is generated one column or row at a time. An incremental condition estimator for dense matrices was originally suggested by Bischof. In this paper this scheme is generalized to handle sparse triangular matrices, especially those that are factors of sparse matrices. Numerical experiments on a variety of matrices demonstrate the reliability of this scheme in estimating the smallest singular value. A partial description of its implementation in a sparse matrix factorization code further illustrates its practicality.

Bischof, C.H. (Argonne National Lab., IL (United States)); Lewis, J.G.; Pierce, D.J. (Boeing Computer Servies, Seattle, WA (United States))

1990-10-01T23:59:59.000Z

145

GAO Cost Estimating and Assessment Guide | Department of Energy  

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

Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide GAO 12-Step Estimating Process.pdf More Documents & Publications EIR SOP Septmebr 2010 Microsoft Word...

146

DOE Challenge Home Savings and Cost Estimate Summary | Department...  

Energy Savers [EERE]

Savings and Cost Estimate Summary DOE Challenge Home Savings and Cost Estimate Summary The U.S. Department of Energy Challenge Home Savings and Cost Estimate Summary, November...

147

Estimating heat of combustion for waste materials  

SciTech Connect (OSTI)

Describes a method of estimating the heat of combustion of hydrocarbon waste (containing S,N,Q,C1) in various physical forms (vapor, liquid, solid, or mixtures) when the composition of the waste stream is known or can be estimated. Presents an equation for predicting the heat of combustion of hydrocarbons containing some sulfur. Shows how the method is convenient for estimating the heat of combustion of a waste profile as shown in a sample calculation.

Chang, Y.C.

1982-11-01T23:59:59.000Z

148

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

NONE

1996-10-01T23:59:59.000Z

149

A robustness application for linear estimation  

E-Print Network [OSTI]

, recursive algorithm for yielding estimates of the state of a linear dynamic system (see, for example, the excellent tutorial [1]). Many other applications of this estimation scheme exist in the areas of signal processing, power systems, telecommunications... on robustness causes the coefficient which maximizes J to approach the coefficient which produces maximum robustness. 37 REFERENCES [1] I. B. Rhodes, "A Tutorial Introduction to Estimation and Filtering, "IEEE Trans. on Automatic Control, vol. AC-16, pp...

Kitzman, Kenneth Victor

1990-01-01T23:59:59.000Z

150

Convergence Estimates of Multilevel Additive and Multiplicative ...  

E-Print Network [OSTI]

Dec 7, 1993 ... Ming-Hsiung, Chia-Yi 621, Taiwan. New uniform estimates for multigrid algorithms are established for certain non-symmetric indefinite prob-.

2005-04-06T23:59:59.000Z

151

ARM - Lesson Plans: Estimating Local Sea Level  

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

Lesson Plans Lesson Plans: Estimating Local Sea Level Objective The objective is to train students' skills in observing the local environment based upon the sea level...

152

Improved diagnostic model for estimating wind energy  

SciTech Connect (OSTI)

Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

Endlich, R.M.; Lee, J.D.

1983-03-01T23:59:59.000Z

153

Quantum Process Estimation with an Unknown Detector  

Science Journals Connector (OSTI)

We present an operational approach to quantum process estimation, where the detector response is characterized directly by a set of probe states. Numerical simulations are presented...

Karpinski, Michal; Cooper, Merlin; Smith, Brian J

154

Fast Algorithms for the Minimum Volume Estimator  

E-Print Network [OSTI]

Abstract: The MVE estimator is an important tool in robust regression and outlier detection in statistics. We develop fast and efficient algorithms for the MVE ...

S D Ahipasaoglu

155

U.S. Uranium Reserves Estimates  

Gasoline and Diesel Fuel Update (EIA)

The initial uranium property reserves estimates were based on bore hole radiometric data validated by chemical analysis of samples from cores and drill cuttings. The...

156

Thermal Hydraulic Simulations, Error Estimation and Parameter  

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

Error Estimation and Parameter Sensitivity Studies in Drekar::CFD Thomas M. Smith, John N. Shadid, Roger P. Pawlowski, Eric C. Cyr and Timothy M. Wildey Sandia National...

157

Recoverable Resource Estimate of Identified Onshore Geopressured...  

Office of Scientific and Technical Information (OSTI)

Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana AAPG 2012 Annual Convention and Exhibition Ariel Esposito and Chad...

158

Guidelines for Estimating Unmetered Landscaping Water Use  

Broader source: Energy.gov [DOE]

Document describes the step-by-step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method.

159

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

160

Essays on Nonparametric Series Estimation with Application to Financial Econometrics  

E-Print Network [OSTI]

This dissertation includes two essays. In the first essay, I proposed an alternative estimator for multivariate densities. This estimator can be characterized as a transformation based estimator. The first stage estimates each marginal density...

Chang, Meng-Shiuh

2012-10-19T23:59:59.000Z

Note: This page contains sample records for the topic "low-end estimate usd" 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

Hybrid Estimation of CMB Polarization Power Spectra  

E-Print Network [OSTI]

This paper generalises the hybrid power spectrum estimator developed in Efstathiou (2004a) to the estimation of polarization power spectra of the cosmic microwave background radiation. The hybrid power spectrum estimator is unbiased and we show that it is close to optimal at all multipoles, provided the pixel noise satisfies certain reasonable constraints. Furthermore, the hybrid estimator is computationally fast and can easily be incorporated in a Monte-Carlo chain for Planck-sized data sets. Simple formulae are given for the covariance matrices, including instrumental noise, and these are tested extensively against numerical simulations. We compare the behaviour of simple pseudo-Cell estimates with maximum likelihood estimates at low multipoles. For realistic sky cuts, maximum likelihood estimates reduce very significantly the mixing of E and B modes. To achieve limits on the scalar-tensor ratio of r<<0.1 from sky maps with realistic sky cuts, maximum likelihood methods, or pseudo-Cell estimators based on unambiguous E and B modes, will be essential.

G. Efstathiou

2006-01-05T23:59:59.000Z

162

Reservation Price Estimation by Adaptive Conjoint Analysis  

E-Print Network [OSTI]

Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using

Schmidt-Thieme, Lars

163

MATLAB Functions for Profiled Estimation of  

E-Print Network [OSTI]

MATLAB Functions for Profiled Estimation of Differential Equations Giles Hooker June 23, 2010: . . . . . . . . . . . . . . . . . . . 5 2 Example: FitzHugh-Nagumo Equations 5 3 MATLAB Objects Needed for the Estimation. 6 3.1 Cell is designed to accompany a Matlab software package that esti- mates the parameters in differential equation

Keinan, Alon

164

Systematic Approach for Decommissioning Planning and Estimating  

SciTech Connect (OSTI)

Nuclear facility decommissioning, satisfactorily completed at the lowest cost, relies on a systematic approach to the planning, estimating, and documenting the work. High quality information is needed to properly perform the planning and estimating. A systematic approach to collecting and maintaining the needed information is recommended using a knowledgebase system for information management. A systematic approach is also recommended to develop the decommissioning plan, cost estimate and schedule. A probabilistic project cost and schedule risk analysis is included as part of the planning process. The entire effort is performed by a experienced team of decommissioning planners, cost estimators, schedulers, and facility knowledgeable owner representatives. The plant data, work plans, cost and schedule are entered into a knowledgebase. This systematic approach has been used successfully for decommissioning planning and cost estimating for a commercial nuclear power plant. Elements of this approach have been used for numerous cost estimates and estimate reviews. The plan and estimate in the knowledgebase should be a living document, updated periodically, to support decommissioning fund provisioning, with the plan ready for use when the need arises.

Dam, A. S.

2002-02-26T23:59:59.000Z

165

Estimating Motor Efficiency in the Field  

Broader source: Energy.gov [DOE]

Some utility companies and public agencies offer rebates to encourage customers to upgrade their existing standard efficiency motors to premium efficiency motors. It is important to know the efficiency of the existing motor and how it is being used to accurately estimate potential annual energy and dollar savings. This tip sheet provides suggested actions and estimates of savings from improved efficiency.

166

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

167

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

168

5 SAMPLING TO ESTIMATE SPATIAL PATTERN  

Science Journals Connector (OSTI)

......be chosen to average out uninformative...range over their home territory and...pooled before consumption and thus reflect...estimation of average, maximum or...in a specific energy window, which...estimate the average over the entire...exposure via milk consumption of radionuclides......

5 SAMPLING TO ESTIMATE SPATIAL PATTERN

2006-06-01T23:59:59.000Z

169

Power estimation technique for DSP architectures  

Science Journals Connector (OSTI)

The main goal of power estimation is to optimize the power consumption of a electronic design. Power is a strongly pattern dependent function. Input statistics greatly influence on average power. We solve the pattern dependence problem for intellectual ... Keywords: DSP architecture, Digital filter, Intellectual property, Macromodel, Monte Carlo simulation, Power estimation

Yaseer A. Durrani; Teresa Riesgo

2009-03-01T23:59:59.000Z

170

Density Estimation Trees in High Energy Physics  

E-Print Network [OSTI]

Density Estimation Trees can play an important role in exploratory data analysis for multidimensional, multi-modal data models of large samples. I briefly discuss the algorithm, a self-optimization technique based on kernel density estimation, and some applications in High Energy Physics.

Anderlini, Lucio

2015-01-01T23:59:59.000Z

171

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network [OSTI]

CHAPTER 1 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES O. Bernard1 , B. Chachuat2 , and J sensors (also called observers) for wastewater treatment plants (WWTPs). We give an overview model description (e.g., the 1 #12;2 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES extended Kalman

Bernard, Olivier

172

CHP Emissions Reduction Estimator | Open Energy Information  

Open Energy Info (EERE)

CHP Emissions Reduction Estimator CHP Emissions Reduction Estimator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CHP Emissions Reduction Estimator Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Buildings, Transportation, Industry Topics: GHG inventory, Co-benefits assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.epa.gov/chp/basic/calculator.html Country: United States UN Region: Northern America CHP Emissions Reduction Estimator Screenshot References: http://www.epa.gov/chp/basic/calculator.html "This Emissions Estimator provides the amount of reduced emissions in terms of pounds of CO2, SO2, and NOX based on input from the User regarding the CHP technology being used. In turn the User will be provided with

173

How the Carbon Emissions Were Estimated  

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

How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated Carbon dioxide emissions are the main component of greenhouse gas emissions caused by human activity. Carbon dioxide is emitted mostly as a byproduct of the combustion of fossil fuels for energy, although certain industrial processes (e.g., cement manufacture) also emit carbon dioxide. The estimates of energy-related carbon emissions require both data on the energy use and carbon emissions coefficients relating energy use to the amount of carbon emitted. The Energy Information Administration (EIA) is the main source of data on U.S. energy use. Emissions of Greenhouse Gases in the United States 1998 used annual data provided by energy suppliers. However, to obtain more detail on how different sectors use energy, the emissions estimates in Energy and GHG Analysis rely data from on surveys of energy users, such as manufacturing establishments and commercial buildings.

174

New approaches to estimation of magnetotelluric parameters  

SciTech Connect (OSTI)

Fully efficient robust data processing procedures were developed and tested for single station and remote reference magnetotelluric (Mr) data. Substantial progress was made on development, testing and comparison of optimal procedures for single station data. A principal finding of this phase of the research was that the simplest robust procedures can be more heavily biased by noise in the (input) magnetic fields, than standard least squares estimates. To deal with this difficulty we developed a robust processing scheme which combined the regression M-estimate with coherence presorting. This hybrid approach greatly improves impedance estimates, particularly in the low signal-to-noise conditions often encountered in the dead band'' (0.1--0.0 hz). The methods, and the results of comparisons of various single station estimators are described in detail. Progress was made on developing methods for estimating static distortion parameters, and for testing hypotheses about the underlying dimensionality of the geological section.

Egbert, G.D.

1991-01-01T23:59:59.000Z

175

Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon...  

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

Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Abstract: Many...

176

Evaluation of solar radiation estimation methods for reference evapotranspiration estimation in Canada  

Science Journals Connector (OSTI)

The accuracy of nine solar radiation (R s ) estimation models and their effects on reference evapotranspiration (ET o ...)...

Olanike O Aladenola; Chandra A Madramootoo

2013-12-01T23:59:59.000Z

177

Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent Stress-Strength  

E-Print Network [OSTI]

1 Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent-strength reliability by assuming the Burr-XII distribution. The research methodology adopted here is to estimate. By using real data sets we well illustrate the procedure. Key Words: Burr-XII distribution, reliability

Kundu, Debasis

178

Quantity | Open Energy Information  

Open Energy Info (EERE)

View View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Special page Facebook icon Twitter icon » Quantity Jump to: navigation, search Properties of type "Quantity" Showing 53 properties using this type. A Property:Area Property:AvgReservoirDepth C Property:Capacity E Property:EstReservoirVol Property:EstimatedCostHighUSD Property:EstimatedCostLowUSD Property:EstimatedCostMedianUSD Property:EstimatedTime Property:EstimatedTimeHigh Property:EstimatedTimeLow Property:EstimatedTimeMedian F Property:FirstWellDepth Property:FirstWellFlowRate G Property:GeneratingCapacity Property:GrossProdCapacity I Property:IdentifiedHydrothermalPotential Property:InstalledCapacity M Property:MeanCapacity N Property:NetProdCapacity

179

Is This Cost Estimate Reliable?Is This Cost Estimate Reliable? -The Relationship between Homogeneity of Analogues  

E-Print Network [OSTI]

Is This Cost Estimate Reliable?Is This Cost Estimate Reliable? - The Relationship between/4)( / ) Software cost estimation Definition · Task of predicting the cost required to complete a software projectproject Techniques for software cost estimation · Algorithmic estimationAlgorithmic estimation ­ Calculate

Bae, Doo-Hwan

180

Parallel State Estimation Assessment with Practical Data  

SciTech Connect (OSTI)

This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.

Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu

2014-10-31T23:59:59.000Z

Note: This page contains sample records for the topic "low-end estimate usd" 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

The MIRD method of estimating absorbed dose  

SciTech Connect (OSTI)

The estimate of absorbed radiation dose from internal emitters provides the information required to assess the radiation risk associated with the administration of radiopharmaceuticals for medical applications. The MIRD (Medical Internal Radiation Dose) system of dose calculation provides a systematic approach to combining the biologic distribution data and clearance data of radiopharmaceuticals and the physical properties of radionuclides to obtain dose estimates. This tutorial presents a review of the MIRD schema, the derivation of the equations used to calculate absorbed dose, and shows how the MIRD schema can be applied to estimate dose from radiopharmaceuticals used in nuclear medicine.

Weber, D.A.

1991-01-01T23:59:59.000Z

182

Estimating pool energy requirements with a thermometer  

SciTech Connect (OSTI)

It is pointed out that there is a need for a simple method of estimating the energy required by a swimming pool. (This is the first step in determining the size of solar pool heaters for a specific application.) Previous methods for estimating pool energy requirements demand mathematical skills. The method proposed here requires only: (1) measurement of the average pool temperature; (2) an estimate of the pool volume; and (3) a knowledge of the desired temperature. Average temperature of the pool is measured using a weighted thermometer at different locations under various weather conditions. Step-by-step instructions complete with a table are provided. (MJJ)

Not Available

1980-04-01T23:59:59.000Z

183

A priori estimates for relativistic liquid bodies  

E-Print Network [OSTI]

We demonstrate that a sufficiently smooth solution of the relativistic Euler equations that represents a dynamical compact liquid body, when expressed in Lagrangian coordinates, determines a solution to a system of non-linear wave equations with acoustic boundary conditions. Using this wave formulation, we prove that these solutions satisfy energy estimates without loss of derivatives. Importantly, our wave formulation does not require the liquid to be irrotational, and the energy estimates do not rely on divergence and curl type estimates employed in previous works.

Oliynyk, Todd A

2015-01-01T23:59:59.000Z

184

Attribution and Apportionment - Preliminary Estimation Procedures  

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

Preliminary Estimation Procedures Preliminary Estimation Procedures FHWA completes several steps in the motor fuel analysis process prior to beginning the annual State-by-State analysis. These steps include an estimation of non-highway fuel uses, public fuel uses, and gasohol consumption. The estimation models are briefly described below. The models require data from several outside sources. One major dataset is the Census Bureau's Vehicle Inventory and Use Survey (VIUS). This data set contains information on annual vehicle miles of travel, percent of off-road use, major use of the truck (agriculture, retail, etc.), engine type, and the State in which the truck is registered. VIUS does not, however, provide a fuel use breakdown between gasoline and gasohol, on-road versus off-road fuel economy, or a distribution of off-road travel by State. The VIUS is conducted every five years; the latest survey was in 1997.

185

Guidelines for Estimating Unmetered Landscapting Water Use  

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

Guidelines for Estimating Guidelines for Estimating Unmetered Landscaping Water Use July 2010 i Summary Executive Order 13514 requires Federal agencies to develop a baseline for industrial, landscaping, and agricultural water use in fiscal year 2010. Measuring actual water use through flow meters is the best method to develop this baseline. But there are instances where Federal sites do not meter these applications, so developing a baseline will be problematic. Therefore the intent of this document is to assist Federal agencies in the baseline development by providing a methodology to calculate unmetered sources of landscaping water use utilizing engineering estimates. The document lays-out step by step instructions to estimate landscaping water using two alternative

186

Distributed Robust Power System State Estimation  

E-Print Network [OSTI]

Deregulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for system-wide power system state estimation (PSSE). Implementing a centralized estimator though is practically infeasible due to the complexity scale of an interconnection, the communication bottleneck in real-time monitoring, regional disclosure policies, and reliability issues. In this context, distributed PSSE methods are treated here under a unified and systematic framework. A novel algorithm is developed based on the alternating direction method of multipliers. It leverages existing PSSE solvers, respects privacy policies, exhibits low communication load, and its convergence to the centralized estimates is guaranteed even in the absence of local observability. Beyond the conventional least-squares based PSSE, the decentralized framework accommodates a robust state estimator. By exploiting interesting links to the compressive sampling advances, the latter jointly es...

Kekatos, Vassilis

2012-01-01T23:59:59.000Z

187

Estimating Demand Response with Panel Data  

Science Journals Connector (OSTI)

In this paper, we extend to panel data the iterated linear least squares estimator of Blundell and Robin (in J Appl Econometrics 14: 209–232 1999). It is shown to be consistent when total expenditure and regre...

Sébastien Lecocq; Jean-Marc Robin

2006-11-01T23:59:59.000Z

188

Are global wind power resource estimates overstated?  

Science Journals Connector (OSTI)

Estimates of the global wind power resource over land range from 56 to 400 TW. Most estimates have implicitly assumed that extraction of wind energy does not alter large-scale winds enough to significantly limit wind power production. Estimates that ignore the effect of wind turbine drag on local winds have assumed that wind power production of 2–4 W m?2 can be sustained over large areas. New results from a mesoscale model suggest that wind power production is limited to about 1 W m?2 at wind farm scales larger than about 100 km2. We find that the mesoscale model results are quantitatively consistent with results from global models that simulated the climate response to much larger wind power capacities. Wind resource estimates that ignore the effect of wind turbines in slowing large-scale winds may therefore substantially overestimate the wind power resource.

Amanda S Adams; David W Keith

2013-01-01T23:59:59.000Z

189

Data Fusion for Improved Respiration Rate Estimation  

E-Print Network [OSTI]

We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the ...

Nemati, Shamim

190

Budget estimates, fiscal year 1997. Volume 12  

SciTech Connect (OSTI)

This report contains the fiscal year budget justification to Congress. The budget provides estimates for salaries and expenses and for the Office of the Inspector General for fiscal year 1997.

NONE

1996-03-01T23:59:59.000Z

191

A simple method to estimate interwell autocorrelation  

SciTech Connect (OSTI)

The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.

Pizarro, J.O.S.; Lake, L.W. [Univ. of Texas, Austin, TX (United States)

1997-08-01T23:59:59.000Z

192

Nonparametric estimation of multiple structures with outliers  

E-Print Network [OSTI]

Nonparametric estimation of multiple structures with outliers Wei Zhang and Jana Kosecka George outliers (pseudo outliers) to it in addition to the true outliers (gross outliers). The problem of robust

Kosecka, Jana

193

Fracture compliance estimation using borehole tube waves  

E-Print Network [OSTI]

We tested two models, one for tube-wave generation and the other for tube-wave attenuation at a fracture intersecting a borehole that can be used to estimate fracture compliance, fracture aperture, and lateral extent. In ...

Bakku, Sudhish Kumar

194

Risk Bounds for Mixture Density Estimation  

E-Print Network [OSTI]

In this paper we focus on the problem of estimating a bounded density using a finite combination of densities from a given class. We consider the Maximum Likelihood Procedure (MLE) and the greedy procedure described by ...

Rakhlin, Alexander

2004-01-27T23:59:59.000Z

195

PRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS  

E-Print Network [OSTI]

EQUATIONS 17 FIGURE 1. DRILL STRING ROUND TRIP 19 FIGURE 2. STANDARD ROTARY CORING (RCB) WIRELINE TRIP 21) WIRELINE TRIP 25 FIGURE 5. ESTIMATED RIGGING, WIRELINE, AND SCANNING TIME FOR REENTRY. 27 #12;Preliminary

196

REPORT NO. 4 ESTIMATES AND EVALUATION OF  

E-Print Network [OSTI]

ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS TESTING CONDUCTED THROUGH 1962 Section II History of Nuclear Weapons Testing. . . . . . . . . . . . . . . . 4 Section III Atmospheric, "Health Implications of Fallout From Nuclear Weapons Testing Through 1961", May 1962

197

On the estimation of numerus clausus  

Science Journals Connector (OSTI)

In this paper a method for estimating the necessary number of enrollments is derived, when the future need of graduates and the probabilities of ever graduating and of graduating in a certain time are given. T...

Anita Lukka

1972-01-01T23:59:59.000Z

198

Nonlinear parameter estimation in parallel computing environments  

E-Print Network [OSTI]

This thesis examines issues related to the paralielization of PESTI a parameter estimation code which was originally developed by Dr. A. T. Watson. PEST is based on the trust region implementation of Levenberg-Marquardt nonlinear least square...

Li, Jie

2012-06-07T23:59:59.000Z

199

State Estimation of the Micro-grid  

Science Journals Connector (OSTI)

For the goal of actual needs of power companies, this chapter develops a state estimation procedure of the micro-grid, using branch currents as state variables, ... In this chapter, an IEEE-33 nodes micro-grid is...

Jinling Lu; Guodong Zhu; Yuyang Miao

2014-01-01T23:59:59.000Z

200

Estimating wave energy from a wave record  

Science Journals Connector (OSTI)

This note is concerned with the calculation of wave energy from a time series record of wave heights. Various methods are used to estimate the wave energy. For wave records that contain a number of different ... ...

Sasithorn Aranuvachapun; John A. Johnson

1977-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "low-end estimate usd" 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

Sub-Second Parallel State Estimation  

SciTech Connect (OSTI)

This report describes the performance of Pacific Northwest National Laboratory (PNNL) sub-second parallel state estimation (PSE) tool using the utility data from the Bonneville Power Administrative (BPA) and discusses the benefits of the fast computational speed for power system applications. The test data were provided by BPA. They are two-days’ worth of hourly snapshots that include power system data and measurement sets in a commercial tool format. These data are extracted out from the commercial tool box and fed into the PSE tool. With the help of advanced solvers, the PSE tool is able to solve each BPA hourly state estimation problem within one second, which is more than 10 times faster than today’s commercial tool. This improved computational performance can help increase the reliability value of state estimation in many aspects: (1) the shorter the time required for execution of state estimation, the more time remains for operators to take appropriate actions, and/or to apply automatic or manual corrective control actions. This increases the chances of arresting or mitigating the impact of cascading failures; (2) the SE can be executed multiple times within time allowance. Therefore, the robustness of SE can be enhanced by repeating the execution of the SE with adaptive adjustments, including removing bad data and/or adjusting different initial conditions to compute a better estimate within the same time as a traditional state estimator’s single estimate. There are other benefits with the sub-second SE, such as that the PSE results can potentially be used in local and/or wide-area automatic corrective control actions that are currently dependent on raw measurements to minimize the impact of bad measurements, and provides opportunities to enhance the power grid reliability and efficiency. PSE also can enable other advanced tools that rely on SE outputs and could be used to further improve operators’ actions and automated controls to mitigate effects of severe events on the grid. The power grid continues to grow and the number of measurements is increasing at an accelerated rate due to the variety of smart grid devices being introduced. A parallel state estimation implementation will have better performance than traditional, sequential state estimation by utilizing the power of high performance computing (HPC). This increased performance positions parallel state estimators as valuable tools for operating the increasingly more complex power grid.

Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu

2014-10-31T23:59:59.000Z

202

Multi-model Estimates of Intercontinental Source-Receptor Relationships for Ozone Pollution  

SciTech Connect (OSTI)

Understanding the surface O{sub 3} response over a 'receptor' region to emission changes over a foreign 'source' region is key to evaluating the potential gains from an international approach to abate ozone (O{sub 3}) pollution. We apply an ensemble of 21 global and hemispheric chemical transport models to estimate the spatial average surface O{sub 3} response over East Asia (EA), Europe (EU), North America (NA) and South Asia (SA) to 20% decreases in anthropogenic emissions of the O{sub 3} precursors, NO{sub x}, NMVOC, and CO (individually and combined), from each of these regions. We find that the ensemble mean surface O{sub 3} concentrations in the base case (year 2001) simulation matches available observations throughout the year over EU but overestimates them by >10 ppb during summer and early fall over the eastern U.S. and Japan. The sum of the O{sub 3} responses to NO{sub x}, CO, and NMVOC decreases separately is approximately equal to that from a simultaneous reduction of all precursors. We define a continental-scale 'import sensitivity' as the ratio of the O{sub 3} response to the 20% reductions in foreign versus 'domestic' (i.e., over the source region itself) emissions. For example, the combined reduction of emissions from the 3 foreign regions produces an ensemble spatial mean decrease of 0.6 ppb over EU (0.4 ppb from NA), less than the 0.8 ppb from the reduction of EU emissions, leading to an import sensitivity ratio of 0.7. The ensemble mean surface O{sub 3} response to foreign emissions is largest in spring and late fall (0.7-0.9 ppb decrease in all regions from the combined precursor reductions in the 3 foreign regions), with import sensitivities ranging from 0.5 to 1.1 (responses to domestic emission reductions are 0.8-1.6 ppb). High O{sub 3} values are much more sensitive to domestic emissions than to foreign emissions, as indicated by lower import sensitivities of 0.2 to 0.3 during July in EA, EU, and NA when O{sub 3} levels are typically highest, and by the weaker relative response of annual incidences of daily maximum 8-hour average O{sub 3} above 60 ppb to emission reductions in a foreign region (<10-20% of that to domestic) as compared to the annual mean response (up to 50% of that to domestic). Applying the ensemble annual mean results to changes in anthropogenic emissions from 1996 to 2002, we estimate a Northern Hemispheric increase in background surface O{sub 3} of about 0.1 ppb yr{sup -1}, at the low end of the 0.1-0.5 ppb yr{sup -1} derived from observations. From an additional simulation in which global atmospheric methane was reduced, we infer that 20% reductions in anthropogenic methane emissions from a foreign source region would yield an O{sub 3} response in a receptor region that roughly equals that produced by combined 20% reductions of anthropogenic NO{sub x}, NMVOC and CO emissions from the foreign source region.

Fiore, A M; Dentener, F J; Wild, O; Cuvelier, C; Schultz, M G; Hess, P; Textor, C; Schulz, M; Doherty, R; Horowitz, L W; MacKenzie, I A; Sanderson, M G; Shindell, D T; Stevenson, D S; Szopa, S; Van Dingenen, R; Zeng, G; Atherton, C; Bergmann, D; Bey, I; Carmichael, G; Collins, W J; Duncan, B N; Faluvegi, G; Folberth, G; Gauss, M; Gong, S; Hauglustaine, D; Holloway, T; Isaksen, I A; Jacob, D J; Jonson, J E; Kaminski, J W; Keating, T J; Lupu, A; Marmer, E; Montanaro, V; Park, R; Pitari, G; Pringle, K J; Pyle, J A; Schroeder, S; Vivanco, M G; Wind, P; Wojcik, G; Wu, S; Zuber, A

2008-10-16T23:59:59.000Z

203

Guidelines for Estimating Unmetered Industrial Water Use  

SciTech Connect (OSTI)

The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.

Boyd, Brian K.

2010-08-01T23:59:59.000Z

204

Oil reservoir properties estimation using neural networks  

SciTech Connect (OSTI)

This paper investigates the applicability as well as the accuracy of artificial neural networks for estimating specific parameters that describe reservoir properties based on seismic data. This approach relies on JPL`s adjoint operators general purpose neural network code to determine the best suited architecture. The authors believe that results presented in this work demonstrate that artificial neural networks produce surprisingly accurate estimates of the reservoir parameters.

Toomarian, N.B. [California Inst. of Tech., Pasadena, CA (United States); Barhen, J.; Glover, C.W. [Oak Ridge National Lab., TN (United States). Center for Engineering Systems Advanced Research; Aminzadeh, F. [UNOCAL Corp., Sugarland, TX (United States)

1997-02-01T23:59:59.000Z

205

Lognormal parameter estimation with censored data  

E-Print Network [OSTI]

[1966] reopened. the case for maximum-likcli- hooc. by exploring iterative echniques i'or the solutions to the maxim~. -likelihood equst, iona for truncated ani ccrsored samples. Tney noted. th. t although the local-msximim-likelihood estimates were... of expected biases for given parsmete. values. In addition, a +echnique is developed for the elimination oi' the bias in the maximum-likelihood estimators for a mu'tiparameter case. The latter two problem- have not pre- viously been discussed...

Zeis, Charles David

1970-01-01T23:59:59.000Z

206

Marker-less Human Motion Estimation using Articulated Deformable Model  

E-Print Network [OSTI]

Marker-less Human Motion Estimation using Articulated Deformable Model Koichi Ogawara and Xiaolu Li and backtrack re-estimation algorithm enable accurate estimation. The power to track challenging whole body

Tokyo, University of

207

Online parameter estimation applied to mixed conduction/radiation  

E-Print Network [OSTI]

) is the most widely used parameter estimation algorithm for nonlinear models. The unscented Kalman filter (UKF) is a new and more accurate technique for parameter estimation. These parameter estimation techniques have been evaluated with respect to data from...

Shah, Tejas Jagdish

2005-08-29T23:59:59.000Z

208

Uncertainty Quantification and Calibration in Well Construction Cost Estimates  

E-Print Network [OSTI]

or to individual cost components. Application of the methodology to estimation of well construction costs for horizontal wells in a shale gas play resulted in well cost estimates that were well calibrated probabilistically. Overall, average estimated...

Valdes Machado, Alejandro

2013-08-05T23:59:59.000Z

209

A. Appendix: Cost Estimate for the Facility  

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

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

210

Adjusted Estimates of Texas Natural Gas Production  

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

1 Energy Information Administration 1 Energy Information Administration Adjusted Estimates of Texas Natural Gas Production Background The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO 2 ) production. Normally, EIA would wait until publication of the Natural Gas Annual (NGA) before revising the 2004 data, but the adjustments for CO 2 are large enough to warrant making the changes at this time. Prior to 2005, EIA relied exclusively on the voluntary sharing of production data by state and federal government entities to develop its natural gas production estimates. In 2005, EIA began collecting production data directly from operators on the new EIA-914 production

211

Estimating Renewable Energy Costs | Department of Energy  

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

Estimating Renewable Energy Costs Estimating Renewable Energy Costs Estimating Renewable Energy Costs October 16, 2013 - 4:40pm Addthis 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 require large, additional capital investments with savings accruing over the project's life. It is crucial that these systems are considered early on in the budgeting process. Early budget requests need to include a set of technologies that could be used to meet the project's design requirements and their associated implementation costs. The design team may respond with a different set of feasible technologies, but it is wise to have an existing placeholder in the budget. Federal agencies can continue to update the budget as decisions

212

Component external leakage and rupture frequency estimates  

SciTech Connect (OSTI)

In order to perform detailed internal flooding risk analyses of nuclear power plants, external leakage and rupture frequencies are needed for various types of components - piping, valves, pumps, flanges, and others. However, there appears to be no up-to-date, comprehensive source for such frequency estimates. This report attempts to fill that void. Based on a comprehensive search of Licensee Event Reports (LERs) contained in Nuclear Power Experience (NPE), and estimates of component populations and exposure times, component external leakage and rupture frequencies were generated. The remainder of this report covers the specifies of the NPE search for external leakage and rupture events, analysis of the data, a comparison with frequency estimates from other sources, and a discussion of the results.

Eide, S.A.; Khericha, S.T.; Calley, M.B.; Johnson, D.A.; Marteeny, M.L.

1991-11-01T23:59:59.000Z

213

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

NONE

1999-02-01T23:59:59.000Z

214

Augmenting Satellite Precipitation Estimation with Lightning Information  

SciTech Connect (OSTI)

We have used lightning information to augment the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network - Cloud Classification System (PERSIANN-CCS). Co-located lightning data are used to segregate cloud patches, segmented from GOES-12 infrared data, into either electrified (EL) or non-electrified (NEL) patches. A set of features is extracted separately for the EL and NEL cloud patches. The features for the EL cloud patches include new features based on the lightning information. The cloud patches are classified and clustered using self-organizing maps (SOM). Then brightness temperature and rain rate (T-R) relationships are derived for the different clusters. Rain rates are estimated for the cloud patches based on their representative T-R relationship. The Equitable Threat Score (ETS) for daily precipitation estimates is improved by almost 12% for the winter season. In the summer, no significant improvements in ETS are noted.

Mahrooghy, Majid [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Younan, Nicolas H. [Mississippi State University (MSU); Petersen, Walter A. [NASA Marshall Space Flight Center, Huntsville, AL; Hsu, Kuo-Lin [University of California, Irvine; Behrangi, Ali [Jet Propulsion Laboratory, Pasadena, CA; Aanstoos, James [Mississippi State University (MSU)

2013-01-01T23:59:59.000Z

215

Estimating exposure of terrestrial wildlife to contaminants  

SciTech Connect (OSTI)

This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.

Sample, B.E.; Suter, G.W. II

1994-09-01T23:59:59.000Z

216

Quantum limits to estimation of photon deformation  

E-Print Network [OSTI]

We address potential deviations of radiation field from the bosonic behaviour and employ local quantum estimation theory to evaluate the ultimate bounds to precision in the estimation of these deviations using quantum-limited measurements on optical signals. We consider different classes of boson deformation and found that intensity measurement on coherent or thermal states would be suitable for their detection making, at least in principle, tests of boson deformation feasible with current quantum optical technology. On the other hand, we found that the quantum signal-to-noise ratio (QSNR) is vanishing with the deformation itself for all the considered classes of deformations and probe signals, thus making any estimation procedure of photon deformation inherently inefficient. A partial way out is provided by the polynomial dependence of the QSNR on the average number of photon, which suggests that, in principle, it would be possible to detect deformation by intensity measurements on high-energy thermal states.

Giovanni De Cillis; Matteo G. A. Paris

2014-07-08T23:59:59.000Z

217

Performance estimates for personnel access control systems  

SciTech Connect (OSTI)

Current performance estimates for personnel access control systems use estimates of Type I and Type II verification errors. A system performance equation which addresses normal operation, the insider, and outside adversary attack is developed. Examination of this equation reveals the inadequacy of classical Type I and II error evaluations which require detailed knowledge of the adversary threat scenario for each specific installation. Consequently, new performance measures which are consistent with the performance equation and independent of the threat are developed as an aid in selecting personnel access control systems.

Bradley, R. G.

1980-10-01T23:59:59.000Z

218

Online Sensor Calibration Monitoring Uncertainty Estimation  

SciTech Connect (OSTI)

Empirical modeling techniques have been applied to online process monitoring to detect equipment and instrumentation degradations. However, few applications provide prediction uncertainty estimates, which can provide a measure of confidence in decisions. This paper presents the development of analytical prediction interval estimation methods for three common nonlinear empirical modeling strategies: artificial neural networks, neural network partial least squares, and local polynomial regression. The techniques are applied to nuclear power plant operational data for sensor calibration monitoring, and the prediction intervals are verified via bootstrap simulation studies.

Hines, J. Wesley; Rasmussen, Brandon [University of Tennessee (United States)

2005-09-15T23:59:59.000Z

219

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

220

Online Vehicle Detection For Estimating Traffic Status  

E-Print Network [OSTI]

We propose a traffic congestion estimation system based on unsupervised on-line learning algorithm. The system does not rely on background extraction or motion detection. It extracts local features inside detection regions of variable size which are drawn on lanes in advance. The extracted features are then clustered into two classes using K-means and Gaussian Mixture Models(GMM). A Bayes classifier is used to detect vehicles according to the previous cluster information which keeps updated whenever system is running by on-line EM algorithm. Experimental result shows that our system can be adapted to various traffic scenes for estimating traffic status.

Lai, Ranch Y Q

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "low-end estimate usd" 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

Estimates of US biofuels consumption, 1990  

SciTech Connect (OSTI)

This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 tabs.

Not Available

1991-10-01T23:59:59.000Z

222

PDE Estimation Techniques for Advanced Battery Management Systems -Part I: SOC Estimation  

E-Print Network [OSTI]

- cles and renewable energy resources is battery energy storage. Advanced battery systems representPDE Estimation Techniques for Advanced Battery Management Systems - Part I: SOC Estimation S. J and renewable energy research, including advanced batteries, under the American Recovery and Rein- vestment Act

Krstic, Miroslav

223

Estimating Variance under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation  

E-Print Network [OSTI]

. In practice, these values come either from measurements or from expert estimates. In both case, we get only for these characteristics. It is desirable to estimate the accuracy of these approximations. Case of measurement uncertainty. Measurements are never 100% accurate. As a result, the result x of the measurement is, in general, different

Kreinovich, Vladik

224

Estimating Biomass Burnt and CarbonEstimating Biomass Burnt and Carbon Emissions from Large Wildfires  

E-Print Network [OSTI]

Estimating Biomass Burnt and CarbonEstimating Biomass Burnt and Carbon Emissions from Large: Global Biomass Burning & Carbon Emissions Standard Emissions Inventories: Burned Area & GFED recently daily. Fire occurrenceoccurrence Roy et al.Roy et al. Carbon emissions (C) = burned area . fuel

225

Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell...  

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

Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell Systems for Transportation Applications: 2012 Update Mass Production Cost Estimation of Direct Hydrogen PEM Fuel...

226

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...

227

How to Estimate the Economic Impacts from Renewable Energy |...  

Energy Savers [EERE]

How to Estimate the Economic Impacts from Renewable Energy How to Estimate the Economic Impacts from Renewable Energy U.S. Department of Energy Technical Assistance Project (TAP)...

228

Estimate Greenhouse Gas Emissions by Building Type | Department...  

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

Estimate Greenhouse Gas Emissions by Building Type Estimate Greenhouse Gas Emissions by Building Type YOU ARE HERE Step 2 Starting with the programs contributing the greatest...

229

Parametric estimating for early electric substation construction cost.  

E-Print Network [OSTI]

??Developing accurate construction estimates is critical for electric utilities to make reliable financial plans for their future. Parametric estimating is just one of several techniques… (more)

Wall, Darden Lee

2010-01-01T23:59:59.000Z

230

The Greenhouse Gas Protocol Initiative: Measurement and Estimation...  

Open Energy Info (EERE)

Estimation of Uncertainty of GHG Emissions Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Greenhouse Gas Protocol Initiative: Measurement and Estimation of...

231

Louisiana - North Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Louisiana - North Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

232

Texas - RRC District 10 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 10 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

233

U.S. Federal Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) U.S. Federal Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

234

Nebraska Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Nebraska Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

235

Texas - RRC District 7B Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 7B Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

236

Florida Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Florida Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

237

Texas - RRC District 6 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 6 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

238

Alabama Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Alabama Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

239

Louisiana State Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Louisiana State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

240

Louisiana - South Onshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Louisiana - South Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

Note: This page contains sample records for the topic "low-end estimate usd" 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

Texas - RRC District 2 Onshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 2 Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

242

New Mexico - West Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) New Mexico - West Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

243

Utah Crude Oil + Lease Condensate Estimated Production from Reserves...  

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

Estimated Production from Reserves (Million Barrels) Utah Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

244

Texas - RRC District 7C Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 7C Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

245

Texas Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Texas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

246

Wyoming Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Wyoming Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

247

Indiana Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Indiana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

248

Arkansas Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Arkansas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

249

Ohio Crude Oil + Lease Condensate Estimated Production from Reserves...  

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

Estimated Production from Reserves (Million Barrels) Ohio Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

250

Kansas Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Kansas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

251

Alaska Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Alaska Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

252

California State Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) California State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

253

New Mexico - East Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) New Mexico - East Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

254

Colorado Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Colorado Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

255

California Federal Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) California Federal Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

256

Miscellaneous States Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Miscellaneous States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

257

Oklahoma Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Oklahoma Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

258

Texas State Offshore Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Texas State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

259

Louisiana Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Louisiana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

260

Texas - RRC District 8A Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 8A Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

Note: This page contains sample records for the topic "low-end estimate usd" 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

Texas - RRC District 9 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 9 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

262

Michigan Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Michigan Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

263

New Mexico Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) New Mexico Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

264

Montana Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Montana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

265

Illinois Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Illinois Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

266

Lower 48 States Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Lower 48 States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

267

Texas - RRC District 8 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 8 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

268

North Dakota Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) North Dakota Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

269

Texas - RRC District 1 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 1 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

270

Texas - RRC District 5 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 5 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

271

West Virginia Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) West Virginia Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

272

Estimating Coke and Pepsi's Price and Advertising Strategies  

E-Print Network [OSTI]

Strategy Distributions for Coke (First Quarter 1977) a)Paper No. 789 ESTIMATING COKE AND PEPSI'S PRICE ADVERTISINGEconomics July, 1998 Estimating Coke and Pepsi’s Price and

Golan, Amos; Karp, Larry S.; Perloff, Jeffrey M.

1998-01-01T23:59:59.000Z

273

Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping...  

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

Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22, 2002-July 22, 2002 Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22,...

274

Estimating the Value of Electricity Storage Resources in Electricity...  

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

Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The...

275

A Review of Geothermal Resource Estimation Methodology | Open...  

Open Energy Info (EERE)

to library Conference Paper: A Review of Geothermal Resource Estimation Methodology Abstract The reliability of resource estimation methodology has become increasingly...

276

Property:EstimatedTime | Open Energy Information  

Open Energy Info (EERE)

EstimatedTime EstimatedTime Jump to: navigation, search Property Name EstimatedTime Property Type Quantity Description An estimate of a particular chronological span, uses the Type:Epoch. Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Subproperties This property has the following 35 subproperties: G GRR/Elements/14-CA-b.1 - NPDES Permit Application GRR/Elements/14-CA-b.12 - Were all EPA objections resolved GRR/Elements/14-CA-b.13 - NPDES Permit issued GRR/Elements/14-CA-b.3 - Is the application complete for the Regional Water Quality Control Board

277

Guidelines for Estimating Unmetered Landscaping Water Use  

SciTech Connect (OSTI)

The document lays-out step by step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method. The evapotranspiration method option calculates the amount of water needed to maintain a healthy turf or landscaped area for a given location based on the amount of water transpired and evaporated from the plants. The evapotranspiration method offers a relatively easy “one-stop-shop” for Federal agencies to develop an initial estimate of annual landscape water use. The document presents annual irrigation factors for 36 cities across the U.S. that represents the gallons of irrigation required per square foot for distinct landscape types. By following the steps outlined in the document, the reader can choose a location that is a close match their location and landscape type to provide a rough estimate of annual irrigation needs without the need to research specific data on their site. The second option presented in the document is the irrigation audit method, which is the physical measurement of water applied to landscaped areas through irrigation equipment. Steps to perform an irrigation audit are outlined in the document, which follow the Recommended Audit Guidelines produced by the Irrigation Association.[5] An irrigation audit requires some knowledge on the specific procedures to accurately estimate how much water is being consumed by the irrigation equipment.

McMordie Stoughton, Kate

2010-07-28T23:59:59.000Z

278

ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS  

E-Print Network [OSTI]

, as provided in the 2013 California Energy Efficiency Potential and Goals Study (2013 Potential Study 2013.1 The 2013 Potential Study estimated energy efficiency savings that could be realized through G. Brown Jr., Governor California Energy Commission DRAFT STAFF REPORT #12;CALIFORNIA ENERGY

279

Retrofit Energy Savings Estimation Model Reference Manual  

E-Print Network [OSTI]

Retrofit Energy Savings Estimation Model Reference Manual #12;#12;Retrofit Energy Savings commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does from the Department of Energy. Any conclusions or opinions expressed in this manual represent solely

280

Machine Learning ! ! ! ! ! Srihari Parameter Estimation for  

E-Print Network [OSTI]

· Bayesian Approach ­Thumbtack vs Coin Toss · Uniform Prior vs Beta Prior ­Multinomial · Dirichlet Prior 2 · Statistical estimation theory deals with Confidence Intervals ­E.g., in election polls 61 + 2 percent plan

Note: This page contains sample records for the topic "low-end estimate usd" 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

Capacitary estimates and the local behavior of  

E-Print Network [OSTI]

... in virtue of (3.11), (3.12) the estimate (3.6) continues to hold. Namely, for every U R n there exist. C,R0 >0 such that. C Q(x)jB(x,r)j jB(x, r)j C 1 QjB(x,r)j,. (3.13).

1996-10-25T23:59:59.000Z

282

PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING  

E-Print Network [OSTI]

on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely usedPARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade in the model, the numerical discretization used, and the solution algorithms employed. Parameter identification

Ewing, Richard E.

283

Estimating density of Florida Key deer  

E-Print Network [OSTI]

for this species since 1968; however, a need to evaluate the precision of existing and alternative survey methods (i.e., road counts, mark-recapture, infrared-triggered cameras [ITC]) was desired by USFWS. I evaluated density estimates from unbaited ITCs and road...

Roberts, Clay Walton

2006-08-16T23:59:59.000Z

284

ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING  

E-Print Network [OSTI]

ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING Christian BELZIL Jørgen HANSEN Nicolai BETWEEN EDUCATION AND TRAINING* Christian BELZIL1 Jørgen HANSEN2 Nicolai KRISTENSEN3 November 2008 Cahier-schooling training that explicitly allows for possible complementarity between initial schooling levels and returns

Paris-Sud XI, Université de

285

Background estimation using a robust Bayesian analysis  

Science Journals Connector (OSTI)

A novel method for the estimation of the background in a powder diffraction pattern has been developed using a robust Bayesian analysis. The underlying probability theory is discussed in terms of going beyond the Gaussian approximation normally associated with counting statistics and least-squares analysis, and various examples are presented that illustrate the general applicability of the approach.

David, W.I.F.

2001-05-22T23:59:59.000Z

286

Estimating nanoparticle size from diffraction measurements  

Science Journals Connector (OSTI)

A Fourier transform of a Debye-Scherrer diffraction pattern can be used to estimate the characteristic size of nanoparticle samples. This method is insensitive to nanoparticle structure and therefore preferable to the Scherrer formula (which is unreliable because it assumes an underlying size-limited perfect crystal structure).

Hall, B.D.

2000-12-01T23:59:59.000Z

287

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network [OSTI]

CHAPTER 1 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES O. Bernard1 , B. Chachuat2 , and J sensors (also called observers) for wastewater treatment plants (WWTPs). We give an overview in "Wastewater Quality Monitoring and Wastewater Quality Monitoring and Treatment, Philippe Quevauviller (Ed

Paris-Sud XI, Université de

288

SEGMENTATION INDEPENDENT ESTIMATES OF TURBULENCE PARAMETERS  

E-Print Network [OSTI]

SEGMENTATION INDEPENDENT ESTIMATES OF TURBULENCE PARAMETERS G. C. Papanicolaoua, K. Solnab and D, University of Utah, Salt Lake City, UT 84112 cPhillips Laboratory, Kirtland AFB, NM 87117 ABSTRACT We present of the detail coe cients at scale j. The spectrum can therefore be interpreted as representing the energy

Papanicolaou, George C.

289

Research Summary Estimating Woodfuel Resource Cost Curves  

E-Print Network [OSTI]

and plant based biomass, with the largest proportion (39%) from domestic wood combustion. Objectives utilise an additional 2 million `green' tonnes of wood biomass a year - equivalent to 1 million oven dry, the estimated amount of woodfuel biomass most immediately available from UMW is 12% of the FCE target

290

PMU Deployment for Optimal State Estimation Performance  

E-Print Network [OSTI]

the benefits from data aggregation. Phasor Measurement Unit (PMU) is such an advanced device capablePMU Deployment for Optimal State Estimation Performance Yue Yang, Student Member IEEE, and Sumit are anticipated; however, due to the high cost of PMU installation, their deployment will continue to be selective

Roy, Sumit

291

Estimating the Burden of Neurocysticercosis in Mexico  

E-Print Network [OSTI]

region (p< 0.05). The mean total number of DALYs lost due to NCC in Mexico was estimated to be 99,866 (95 percent CR: 43,187 –189,182), with a mean of 0.95 (95 percent CR: 0.4–1.8) DALYs lost per thousand persons per year....

Bhattarai, Rachana

2012-10-19T23:59:59.000Z

292

Preprint # 1010 Bayesian Methods for Estimating the  

E-Print Network [OSTI]

a bottom-up approach for approximating the pos- terior distribution of reliability of series and parallelPreprint # 10­10 Bayesian Methods for Estimating the Reliability of Complex Systems Using Ames, Iowa, 50011 August 8, 2010 ABSTRACT We propose a Bayesian approach for assessing the reliability

293

A continuous traffic study - estimation of population parameters and the variance of the estimated parameters  

E-Print Network [OSTI]

. 32 5. 88 6. 36 1. 68 13 TABLE 3. 2 ESTIMATED TOTAL 'fONS BY CARRiER Carrier Sample Size ToGs Standard Error Coefficient Variation (/) Maximum Variation 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 '7 l 22.... 37 14. 71 13. 33 12. 48 18. 62 6. 26 7. 07 l. 72 15 3. 4 Traffic Characteristics for a Group of Carri rs The estimation of totals and estimated variances for a group of carriers is merely an extension of formula 3. 1 and 3. 3. In this case...

Dresser, George Brayton

1969-01-01T23:59:59.000Z

294

Faster parameter estimation using risk-sensitive lters Sanjeewa Athuraliyay  

E-Print Network [OSTI]

Faster parameter estimation using risk-sensitive lters Sanjeewa Athuraliyay , Jason Fordz and John propose a risk-sensitive approach to parameter estimation for hidden Markov models HMMs. The parameter the improvement in estimation simu- lation studies are presented that compare parameter estimation based on risk-sensitive

Moore, John Barratt

295

Several test results on earthing-resistance-estimation instrument  

Science Journals Connector (OSTI)

Whenever earth construction work is done, the implanted number and depth of electrodes have to be estimated in order to obtain the required resistance value. We call this earth resistance estimation. Under conventional method of earth resistance estimation, ... Keywords: earthing-resistance estimation, resistivity sounding, soil layer

Hitoshi Kijima

2008-02-01T23:59:59.000Z

296

Building Energy Software Tools Directory: Energy Estimation Software with  

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

Energy Estimation Software with Carbon Footprint Calculation Energy Estimation Software with Carbon Footprint Calculation Energy Estimation Software with Carbon Footprint Calculation logo. Energy Estimation Software for Fan and Pumping Applications estimates energy savings achieved when using a variable frequency drive instead of conventional control methods for fan and pumping applications. The results can be viewed in graphical format and text format and the software has built-in functions to generate an energy estimation report especially designed for consultants. The energy estimator software is available in two editions: Single System Edition This edition allows users to estimate energy savings for a single fan or pump system and generate a multi-page report based on the estimated savings. Project Edition This edition allows users to estimate energy savings of a single fan or

297

Title, Location, Document Number Estimated Cost Description  

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

Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Title, Location, Document Number Estimated Cost Description EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $65,000 Annual NEPA Planning Summary NEPA Reviews of Proposals to Implement Enterprise SRS Initiatives unknown The Savannah River Site Strategic Plan for 2011 - 2015 describes 12 initiatives that Enterprise SRS will pursue by applying SRS's management core competencies in nuclear materials. Implementation of new missions resulting from this effort will likely require NEPA review. However, until firm proposals are developed

298

On the Accuracy of Regulatory Cost Estimates  

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

On the Accuracy of Regulatory Cost Estimates On the Accuracy of Regulatory Cost Estimates Speaker(s): Richard Morgenstern Date: December 10, 2013 - 12:00pm - 1:00pm Location: 90-3122 Seminar Host/Point of Contact: Alan Sanstad Margaret Taylor Over the past several decades, the U.S. has seen a gradual reduction in economic regulation and a simultaneous increase in safety, health, environmental, and other social regulations. Especially with the prospect of regulation on greenhouse gases under the Clean Air Act, there is growing concern about the costs, effectiveness, and benefits of federal rules. While prospective or ex ante analyses of the benefits and costs of major federal regulations are now a standard part of government operations, retrospective or ex post analyses, focusing on measurements of actual

299

Process Equipment Cost Estimation, Final Report  

Office of Scientific and Technical Information (OSTI)

Process Equipment Cost Estimation Process Equipment Cost Estimation Final Report January 2002 H.P. Loh U.S. Department of Energy National Energy Technology Laboratory P.O. Box 10940, 626 Cochrans Mill Road Pittsburgh, PA 15236-0940 and P.O. Box 880, 3610 Collins Ferry Road Morgantown, WV 26507-0880 and Jennifer Lyons and Charles W. White, III EG&G Technical Services, Inc. 3604 Collins Ferry Road, Suite 200 Morgantown, WV 26505 DOE/NETL-2002/1169 ii Disclaimer 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 usefulness of any information, apparatus,

300

Quantum enhanced estimation of optical detector efficiencies  

E-Print Network [OSTI]

Quantum mechanics establishes the ultimate limit to the scaling of the precision on any parameter, by iden- tifying optimal probe states and measurements. While this paradigm is, at least in principle, adequate for the metrology of quantum channels involving the estimation of phase and loss parameters, we show that estimat- ing the loss parameters associated with a quantum channel and a realistic quantum detector are fundamentally different. While Fock states are provably optimal for the former, we identify a crossover in the nature of the optimal probe state for estimating detector imperfections as a function of the loss parameter. We provide explicit results for on-off and homodyne detectors, the most widely used detectors in quantum photonics technologies.

Barbieri, Marco; Bartley, Tim J; Jin, Xian-Min; Kolthammer, W Steven; Walmsley, Ian A

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "low-end estimate usd" 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

Aerosol Best Estimate Value-Added Product  

SciTech Connect (OSTI)

The objective of the Aerosol Best Estimate (AEROSOLBE) value-added product (VAP) is to provide vertical profiles of aerosol extinction, single scatter albedo, asymmetry parameter, and Angstroem exponents for the atmospheric column above the Central Facility at the ARM Southern Great Plains (SGP) site. We expect that AEROSOLBE will provide nearly continuous estimates of aerosol optical properties under a range of conditions (clear, broken clouds, overcast clouds, etc.). The primary requirement of this VAP was to provide an aerosol data set as continuous as possible in both time and height for the Broadband Heating Rate Profile (BBHRP) VAP in order to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Even though BBHRP has been completed, AEROSOLBE results are very valuable for environmental, atmospheric, and climate research.

Flynn, C; Turner, D; Koontz, A; Chand, D; Sivaraman, C

2012-07-19T23:59:59.000Z

302

Estimating climatological variability of solar energy production  

Science Journals Connector (OSTI)

Abstract A method is presented for estimating the climatological variability of yearly and monthly photovoltaic power production per 1 kWp of installed power. This quantity is computed for a specified portfolio of sources on the basis of historical data. Its climatological variability is derived from a simulation of 33 years of power production with hourly time step. Underlying meteorological variables are taken from the MERRA reanalysis for the years 1979–2011. Since the MERRA reanalysis is not a traditional data source for photovoltaic power modelling, various comparisons to available and more frequently used data sources are included. The method of estimation has the advantage of wide applicability due to the global coverage of the meteorological data.

Pavel Juruš; Kryštof Eben; Jaroslav Resler; Pavel Kr?; Ivan Kasanický; Emil Pelikán; Marek Brabec; Ji?í Hošek

2013-01-01T23:59:59.000Z

303

Estimating CNC discrimination with spondee words  

Science Journals Connector (OSTI)

Five experiments with normal listeners were performed to determine the percentage of CNC monosyllables correctly identified in various presentation paradigms at the speech reception threshold(SRT) for spondee materials. The purpose was to obtain information which would allow the quick estimation from the SRT of the stimulus level yielding these CNC percentages. Descending simple?up?and?down and best?of?three measuring techniques were used for SRT tests and best?of?five doublet and constant?level tests were employed for measuring CNC discrimination. All tests involved monaural (earphone) listening conditions in quiet or against a background of either 60 or 80 dB SPLwhite noise. Findings revealed that the various SRT tests estimated percentage CNC discrimination scores ranging in about 17–29% on the rising portion of articulation functions. In general present results indicated that SRT tests are most apt to measure approximately the 23% point on CNC functions for normal listeners.

Daniel L. Bode; Raymond Carhart

1975-01-01T23:59:59.000Z

304

Estimating the Economic Costs of Espionage  

E-Print Network [OSTI]

reports often cite wide- ranging figures for dollars lost, researchers are hesitant to release their methodologies and sources of data. For example, a 2004 report on the costs of cyber-crime by the Congressional Research Service assessed... lack sufficient information on the process, variables, and data used to estimate cost. 1 U.S. Congressional Research Service. “The Economic Impact of Cyber-Attacks,” (RL32331; April 1, 2004) Brian...

Bell, Rich; Bennett, J. Ethan; Boles, Jillian R.; Goodoien, David M.; Irving, Jeff W.; Kuhlman, Phillip B.; White, Amanda K.

2010-01-01T23:59:59.000Z

305

Component of variance estimation based on synthesis  

E-Print Network [OSTI]

Component of Variance Estimation based on. Synthesis. (August lg (2) Jocelyn Anthea Tommerup, B. Sc. , B. Econ. , University of Queenslsnd Directed. by: Dr. H. 0. Hartley Analysis of variance, widely used in the study of statistical variation.... Essentially the problem is to find these coefficients so that, estimstes of the components may be computed. Hartley [1967] hss proposed a method which gives these coef'ficients directly for sry design, balanced of' unbalanced. It is the objective...

Tommerup, Jocelyn Anthea

2012-06-07T23:59:59.000Z

306

BAYESIAN ESTIMATION OF FUEL ECONOMY POTENTIAL  

E-Print Network [OSTI]

BAYESIAN ESTIMATION OF FUEL ECONOMY POTENTIAL DUE TO TECHNOLOGY IMPROVEMENTS by Richard W. Andrews in the engineering assessment phase of this project: N.T. Barnes, B. Beeson, R.C. Belaire, W.C. Follmer, R.J. Genik, R.C. Heathfield, T.E. Kenney, D.L. Kulp, J.G. LaFond, J.D. Medrick, N.M. Novelli, G. Pietron, N

Berger, Jim

307

Selection index estimation from incomplete data  

E-Print Network [OSTI]

consistent, asymptoticallv efficient, and fre- quently maximum likelihood. This method ot estimating P was utilrzed by Smith and Pfaffenberger [1970] to develop a selection index which used both complete and incomplete data sets of multtvariate normal... distribution. This index was shown to be an improvement over those using only complete data sets. 1. 3 Review of the Smith-Pfaffenberger Procedure The Smith-Pfaffenberger index utilized the procedure developed by Hocking and Smith which allowed...

Scott, Douglas Meloy

2012-06-07T23:59:59.000Z

308

E-Print Network 3.0 - area estimators based Sample Search Results  

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

Primer on small area estimation - direct and indirect estimation - synthetic... and composite estimation - borrowing strength and shrinkage - ... Source: Colorado State...

309

Detection-estimation of very close emitters: performance breakdown, ambiguity, and general statistical analysis of maximum-likelihood estimation  

Science Journals Connector (OSTI)

We reexamine the well-known problem of "threshold behavior" or "performance breakdown" in the detection-estimation of very closely spaced emitters. In this extreme regime, we analyze the performance for maximum-likelihood estimation (MLE) of directions-of-arrival ... Keywords: direction-of-arrival (DOA) estimation, maximum-likelihood estimation, random matrix theory, signal detection, signal resolution

Yuri I. Abramovich; Ben A. Johnson

2010-07-01T23:59:59.000Z

310

Cost estimate of initial SSC experimental equipment  

SciTech Connect (OSTI)

The cost of the initial detector complement at recently constructed colliding beam facilities (or at those under construction) has been a significant fraction of the cost of the accelerator complex. Because of the complexity of large modern-day detectors, the time-scale for their design and construction is comparable to the time-scale needed for accelerator design and construction. For these reasons it is appropriate to estimate the cost of the anticipated detector complement in parallel with the cost estimates of the collider itself. The fundamental difficulty with this procedure is that, whereas a firm conceptual design of the collider does exist, comparable information is unavailable for the detectors. Traditionally, these have been built by the high energy physics user community according to their perception of the key scientific problems that need to be addressed. The role of the accelerator laboratory in that process has involved technical and managerial coordination and the allocation of running time and local facilities among the proposed experiments. It seems proper that the basic spirit of experimentation reflecting the scientific judgment of the community should be preserved at the SSC. Furthermore, the formal process of initiation of detector proposals can only start once the SSC has been approved as a construction project and a formal laboratory administration put in place. Thus an ad hoc mechanism had to be created to estimate the range of potential detector needs, potential detector costs, and associated computing equipment.

NONE

1986-06-01T23:59:59.000Z

311

Cost estimate of electricity produced by TPV  

Science Journals Connector (OSTI)

A crucial parameter for the market penetration of TPV is its electricity production cost. In this work a detailed cost estimate is performed for a Si photocell based TPV system, which was developed for electrically self-powered operation of a domestic heating system. The results are compared to a rough estimate of cost of electricity for a projected GaSb based system. For the calculation of the price of electricity, a lifetime of 20 years, an interest rate of 4.25% per year and maintenance costs of 1% of the investment are presumed. To determine the production cost of TPV systems with a power of 12–20 kW, the costs of the TPV components and 100 EUR kW?1el,peak for assembly and miscellaneous were estimated. Alternatively, the system cost for the GaSb system was derived from the cost of the photocells and from the assumption that they account for 35% of the total system cost. The calculation was done for four different TPV scenarios which include a Si based prototype system with existing technology (?sys = 1.0%), leading to 3000 EUR kW?1el,peak, an optimized Si based system using conventional, available technology (?sys = 1.5%), leading to 900 EUR kW?1el,peak, a further improved system with future technology (?sys = 5%), leading to 340 EUR kW?1el,peak and a GaSb based system (?sys = 12.3% with recuperator), leading to 1900 EUR kW?1el,peak. Thus, prices of electricity from 6 to 25 EURcents kWh?1el (including gas of about 3.5 EURcents kWh?1) were calculated and compared with those of fuel cells (31 EURcents kWh?1) and gas engines (23 EURcents kWh?1).

Günther Palfinger; Bernd Bitnar; Wilhelm Durisch; Jean-Claude Mayor; Detlev Grützmacher; Jens Gobrecht

2003-01-01T23:59:59.000Z

312

Indirect Estimation of Radioactivity in Containerized Cargo  

SciTech Connect (OSTI)

Detecting illicit nuclear and radiological material in containerized cargo challenges the state of the art in detection systems. Current systems are being evaluated and new systems envisioned to address the need for the high probability of detection and extremely low false alarm rates necessary to thwart potential threats and extremely low nuisance and false alarm rates while maintaining necessary to maintain the flow of commerce impacted by the enormous volume of commodities imported in shipping containers. Maintaining flow of commerce also means that primary inspection must be rapid, requiring relatively indirect measurements of cargo from outside the containers. With increasing information content in such indirect measurements, it is natural to ask how the information might be combined to improved detection. Toward this end, we present an approach to estimating isotopic activity of naturally occurring radioactive material in cargo grouped by commodity type, combining container manifest data with radiography and gamma spectroscopy aligned to location along the container. The heart of this approach is our statistical model of gamma counts within peak regions of interest, which captures the effects of background suppression, counting noise, convolution of neighboring cargo contributions, and down-scattered photons to provide physically constrained estimates of counts due to decay of specific radioisotopes in cargo alone. Coupled to that model, we use a mechanistic model of self-attenuated radiation flux to estimate the isotopic activity within cargo, segmented by location within each container, that produces those counts. We demonstrate our approach by applying it to a set of measurements taken at the Port of Seattle in 2006. This approach to synthesizing disparate available data streams and extraction of cargo characteristics holds the potential to improve primary inspection using current detection capabilities and to enable simulation-based evaluation of new candidate detection systems.

Jarman, Kenneth D.; Scherrer, Chad; Smith, Eric L.; Chilton, Lawrence; Anderson, K. K.; Ressler, Jennifer J.; Trease, Lynn L.

2011-01-01T23:59:59.000Z

313

Estimating radiological background using imaging spectroscopy  

SciTech Connect (OSTI)

Optical imaging spectroscopy is investigated as a method to estimate radiological background by spectral identification of soils, sediments, rocks, minerals and building materials derived from natural materials and assigning tabulated radiological emission values to these materials. Radiological airborne surveys are undertaken by local, state and federal agencies to identify the presence of radiological materials out of regulatory compliance. Detection performance in such surveys is determined by (among other factors) the uncertainty in the radiation background; increased knowledge of the expected radiation background will improve the ability to detect low-activity radiological materials. Radiological background due to naturally occurring radiological materials (NORM) can be estimated by reference to previous survey results, use of global 40K, 238U, and 232Th (KUT) values, reference to existing USGS radiation background maps, or by a moving average of the data as it is acquired. Each of these methods has its drawbacks: previous survey results may not include recent changes, the global average provides only a zero-order estimate, the USGS background radiation map resolutions are coarse and are accurate only to 1 km – 25 km sampling intervals depending on locale, and a moving average may essentially low pass filter the data to obscure small changes in radiation counts. Imaging spectroscopy from airborne or spaceborne platforms can offer higher resolution identification of materials and background, as well as provide imaging context information. AVIRIS hyperspectral image data is analyzed using commercial exploitation software to determine the usefulness of imaging spectroscopy to identify qualitative radiological background emissions when compared to airborne radiological survey data.

Bernacki, Bruce E.; Schweppe, John E.; Stave, Sean C.; Jordan, David V.; Kulisek, Jonathan A.; Stewart, Trevor N.; Seifert, Carolyn E.

2014-06-13T23:59:59.000Z

314

Notices Total Estimated Number of Annual  

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

72 Federal Register 72 Federal Register / Vol. 78, No. 181 / Wednesday, September 18, 2013 / Notices Total Estimated Number of Annual Burden Hours: 10,128. Abstract: Enrollment in the Federal Student Aid (FSA) Student Aid Internet Gateway (SAIG) allows eligible entities to securely exchange Title IV, Higher Education Act (HEA) assistance programs data electronically with the Department of Education processors. Organizations establish Destination Point Administrators (DPAs) to transmit, receive, view and update student financial aid records using telecommunication software. Eligible respondents include the following, but are not limited to, institutions of higher education that participate in Title IV, HEA assistance programs, third-party servicers of eligible institutions,

315

Parametric Estimation of Harmonically Related Sinusoids  

E-Print Network [OSTI]

prediction polynomial coefficients: bK?k = bk. (2.20) With this symmetry, the size of the quadratic optimization in each iteration step is effectively reduced by a half. Specifically, by letting b = P?b (2.21) 18 where ?b = (b0, b1, . . . , bK/2)t and P... data. B. Parameter Estimation 1. Problem Statement Mathematically, the received pressure wave at the jth pressure sensor can be written as: yj[m] = ?L?1l=0 hl,jx[m? l] +?K/2?1k=0 Ak,j cos(?km+ ?k,j) + wj[m], m = 0, . . . ,M ? 1, j = 0, . . . , J...

Dixit, Richa

2010-04-01T23:59:59.000Z

316

A study of design oriented cost estimation  

E-Print Network [OSTI]

, embossing, draw- 14 ing, forming and extruding of one inch or less. The value of 5 hours is based on the time taken for the following: 1. machine the unit length using a continuous path wire EDM machine, 2. make the die block, 3. make the punch, 4... Function-Cost Table for the Alternatives for Connecting Gear and Shaft 4. 5 Function-Cost Table for the Check Valve 4. 6 Function-Cost Table for the Gas Damper Assembly. . 69 Al. 1 Spreadsheet Used in Machining Cost Estimation A1. 2 Characterestics...

Raman, Ramchand P.

2012-06-07T23:59:59.000Z

317

Estimated United States Transportation Energy Use 2005  

SciTech Connect (OSTI)

A flow chart depicting energy flow in the transportation sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 31,000 trillion British Thermal Units (trBTUs) of energy were used throughout the United States in transportation activities. Vehicles used in these activities include automobiles, motorcycles, trucks, buses, airplanes, rail, and ships. The transportation sector is powered primarily by petroleum-derived fuels (gasoline, diesel and jet fuel). Biomass-derived fuels, electricity and natural gas-derived fuels are also used. The flow patterns represent a comprehensive systems view of energy used within the transportation sector.

Smith, C A; Simon, A J; Belles, R D

2011-11-09T23:59:59.000Z

318

Position estimation of transceivers in communication networks  

DOE Patents [OSTI]

This invention provides a system and method using wireless communication interfaces coupled with statistical processing of time-of-flight data to locate by position estimation unknown wireless receivers. Such an invention can be applied in sensor network applications, such as environmental monitoring of water in the soil or chemicals in the air where the position of the network nodes is deemed critical. Moreover, the present invention can be arranged to operate in areas where a Global Positioning System (GPS) is not available, such as inside buildings, caves, and tunnels.

Kent, Claudia A. (Pleasanton, CA); Dowla, Farid (Castro Valley, CA)

2008-06-03T23:59:59.000Z

319

Cosmological parameter estimation: impact of CMB aberration  

SciTech Connect (OSTI)

The peculiar motion of an observer with respect to the CMB rest frame induces an apparent deflection of the observed CMB photons, i.e. aberration, and a shift in their frequency, i.e. Doppler effect. Both effects distort the temperature multipoles a{sub lm}'s via a mixing matrix at any l. The common lore when performing a CMB based cosmological parameter estimation is to consider that Doppler affects only the l = 1 multipole, and neglect any other corrections. In this paper we reconsider the validity of this assumption, showing that it is actually not robust when sky cuts are included to model CMB foreground contaminations. Assuming a simple fiducial cosmological model with five parameters, we simulated CMB temperature maps of the sky in a WMAP-like and in a Planck-like experiment and added aberration and Doppler effects to the maps. We then analyzed with a MCMC in a Bayesian framework the maps with and without aberration and Doppler effects in order to assess the ability of reconstructing the parameters of the fiducial model. We find that, depending on the specific realization of the simulated data, the parameters can be biased up to one standard deviation for WMAP and almost two standard deviations for Planck. Therefore we conclude that in general it is not a solid assumption to neglect aberration in a CMB based cosmological parameter estimation.

Catena, Riccardo [Institut für Theoretische Physik, Friedrich-Hund-Platz 1, 37077 Göttingen (Germany); Notari, Alessio, E-mail: riccardo.catena@theorie.physik.uni-goettingen.de, E-mail: notari@ffn.ub.es [Departament de Física Fondamental i Institut de Ciéncies del Cosmos, Universitat de Barcelona, Martí i Franqués 1, 08028 Barcelona (Spain)

2013-04-01T23:59:59.000Z

320

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

Note: This page contains sample records for the topic "low-end estimate usd" 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

Estimates of Savings Achievable from Irrigation Controller  

SciTech Connect (OSTI)

This paper performs a literature review and meta-analysis of water savings from several types of advanced irrigation controllers: rain sensors (RS), weather-based irrigation controllers (WBIC), and soil moisture sensors (SMS).The purpose of this work is to derive average water savings per controller type, based to the extent possible on all available data. After a preliminary data scrubbing, we utilized a series of analytical filters to develop our best estimate of average savings. We applied filters to remove data that might bias the sample such as data self-reported by manufacturers, data resulting from studies focusing on high-water users, or data presented in a non-comparable format such as based on total household water use instead of outdoor water use. Because the resulting number of studies was too small to be statistically significant when broken down by controller type, this paper represents a survey and synthesis of available data rather than a definitive statement regarding whether the estimated water savings are representative.

Williams, Alison; Fuchs, Heidi; Whitehead, Camilla Dunham

2014-03-28T23:59:59.000Z

322

Wind speed estimation using multilayer perceptron  

Science Journals Connector (OSTI)

Abstract Wind speed knowledge is prerequisite in the siting of wind turbines. In consequence the wind energy use requires meticulous and specified knowledge of the wind characteristics at a location. This paper presents a method for determining the annual average wind speed at a complex terrain site by using neural networks, when only short term data are available for that site. This information is useful for preliminary calculations of the wind resource at a remote area having only a short time period of wind measurements measurement in a site. Artificial neural networks are useful for implementing non-linear process variables over time, and therefore are a useful tool for estimating the wind speed. The neural network used is multilayer perceptron with three layers and the supervised learning algorithm used is backpropagation. The inputs used in the neural network were wind speed and direction data from a single station, and the training patterns used correspond to sixty days data. The results obtained by simulating the annual average wind speed at the selected site based on data from nearby stations with correlation coefficients above 0.5 were satisfactory, compared with actual values. Reliable estimations were obtained, with errors below 6%.

Ramón Velo; Paz López; Francisco Maseda

2014-01-01T23:59:59.000Z

323

Estimating Power System Dynamic States Using Extended Kalman Filter  

SciTech Connect (OSTI)

Abstract—The state estimation tools which are currently deployed in power system control rooms are based on a steady state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper investigates the application of Extended Kalman Filtering techniques for estimating dynamic states in the state estimation process. The new formulated “dynamic state estimation” includes true system dynamics reflected in differential equations, not like previously proposed “dynamic state estimation” which only considers the time-variant snapshots based on steady state modeling. This new dynamic state estimation using Extended Kalman Filter has been successfully tested on a multi-machine system. Sensitivity studies with respect to noise levels, sampling rates, model errors, and parameter errors are presented as well to illustrate the robust performance of the developed dynamic state estimation process.

Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jaroslaw; Zhou, Ning

2014-10-31T23:59:59.000Z

324

HERITABILITY ESTIMATION IN HIGH DIMENSIONAL LINEAR MIXED MODELS  

E-Print Network [OSTI]

estimator. Our approach is implemented in the R package HiLMM which is available from the web page) the "dark matter" of the genome or the "dark matter" of heritability. To estimate this lacking heritability

Gassiat, Elisabeth

325

An Invariant Form for the Prior Probability in Estimation Problems  

Science Journals Connector (OSTI)

...Invariant Form for the Prior Probability in Estimation Problems...for stating the prior probability in a large class of...invariant form for the prior probability in estimation problems. | Journal Article | Statistics as Topic | STATISTICS...

1946-01-01T23:59:59.000Z

326

ONLINE TRAFFIC LIGHT CONTROL THROUGH GRADIENT ESTIMATION USING  

E-Print Network [OSTI]

Infinitesimal Perturbation and Analysis (IPA) but the model we use to derive the #12;IPA estimates developed which is based on IPA (Cassandras et al., 2002). In this approach, we derive estimators

Panayiotou, Christos

327

Development of the Potential Energy Savings Estimation (PESE) Toolkit  

E-Print Network [OSTI]

This study has developed a prototype computer tool called the Potential Energy Savings Estimation (PESE) Toolkit. Baltazar’s methodology for potential energy savings estimation from EBCx/retrofit measures has been improved in several ways...

Liu, J.; Baltazar, J. C.; Claridge, D. E.

328

Probabilistic state estimation in regimes of nonlinear error growth  

E-Print Network [OSTI]

State estimation, or data assimilation as it is often called, is a key component of numerical weather prediction (NWP). Nearly all implementable methods of state estimation suitable for NWP are forced to assume that errors ...

Lawson, W. Gregory, 1975-

2005-01-01T23:59:59.000Z

329

Estimating Coke and Pepsi's price and advertising strategies  

E-Print Network [OSTI]

Working Paper No. 789 ESTIMATING COKE AND PEPSI’ PRICE S ANDand Advertising Strategies: Coke and Pepsi) by Amos Golan,Revised, March 1999 Estimating Coke and Pepsi’s Price and

Golan, Amos; Karp, Larry; Perloff, Jeffrey M.

1999-01-01T23:59:59.000Z

330

Updated Capital Cost Estimates for Utility Scale Electricity  

E-Print Network [OSTI]

Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii for Utility Scale Electricity Generating Plants ii Contents Introduction

331

Global estimation of precipitation using opaque microwave bands  

E-Print Network [OSTI]

This thesis describes the use of opaque microwave bands for global estimation of precipitation rate. An algorithm was developed for estimating instantaneous precipitation rate for the Advanced Microwave Sounding Unit (AMSU) ...

Chen, Frederick Wey-Min, 1975-

2004-01-01T23:59:59.000Z

332

Preliminary conceptual design and cost estimation for Korea Advanced Pyroprocessing Facility Plus (KAPF+)  

Science Journals Connector (OSTI)

Abstract Korea has developed pyroprocessing technology as a potential option for recycling spent fuels (SFs) from pressurized water reactors (PWRs). The pyroprocessing consists of various key unit processes and a number of research activities have been focused on each process. However, to realize the whole pyroprocessing concept, there is a critical need for integrating the individual developments and addressing a material flow from feed to final products. In addition, the advancement on overall facility design is an indispensable aspect for demonstration and commercialization of the pyroprocessing. In this study, a facility named as Korea Advanced Pyroprocess Facility Plus (KAPF+) is conceptualized with a capacity of 400 tHM/yr. The process steps are categorized based on their own characteristics while the capacities of process equipment are determined based on the current technical levels. The facility concept with a site layout of 104,000 m2 is developed by analyzing the operation conditions and materials treated in each process. As an economic approach to the proposed facility, the unit cost (781 $/kgHM denominated in 2009 USD) for KAPF+ is also analyzed with the conceptual design with preliminary sensitivity assessments including decontamination and decommissioning costs, a discount rate, staffing costs, and plant lifetime. While classifying and describing cost details of KAPF+, this study compares the unit cost of KAPF+ treating PWR SF to that of the pyroprocessing facility treating sodium-cooled fast reactor (SFR) SF.

Won Il Ko; Ho Hee Lee; Sungyeol Choi; Sung-Ki Kim; Byung Heung Park; Hyo Jik Lee; In Tae Kim; Han Soo Lee

2014-01-01T23:59:59.000Z

333

Guidelines for Estimating Unmetered Industrial Water Use | Department...  

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

providing a methodology to calculate unmetered sources of industrial water use utilizing engineering estimates. estunmeteredindustrialwtr.pdf More Documents & Publications...

334

Estimating the Economic Cost of Sea-Level Rise  

E-Print Network [OSTI]

To improve the estimate of economic costs of future sea-level rise associated with global climate change,

Sugiyama, Masahiro.

335

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

336

Magnetic Field based Heading Estimation for Pedestrian Navigation Environments  

E-Print Network [OSTI]

Magnetic Field based Heading Estimation for Pedestrian Navigation Environments Muhammad Haris Afzal held devices, these other sources are accelerometers for roll and pitch estimates and magnetic field sensors for the heading. In order to utilize the magnetic field sensors for heading estimation

Calgary, University of

337

Hybrid Systems State estimation for hybrid systems: applications  

E-Print Network [OSTI]

Hybrid Systems State estimation for hybrid systems: applications to aircraft tracking I. Hwang, H of a stochastic linear hybrid system, given only the continuous system output data, is studied. Well established techniques for hybrid estimation, known as the multiple model adaptive estimation algorithm

Tomlin, Claire

338

Introduction Hall and Tank (2005) present estimates of ecosystem metab-  

E-Print Network [OSTI]

213 Introduction Hall and Tank (2005) present estimates of ecosystem metab- olism for Giltner in the estimation of ecosystem metabolism by open-channel methods (McCutchan et al. 2002; Hall and Tank 2005). To estimate metabolism in Giltner Spring Creek, Hall and Tank (2005) employ a mass-balance equation

Lewis Jr., William M.

339

Standard errors of parameter estimates in the ETAS model  

E-Print Network [OSTI]

1 Standard errors of parameter estimates in the ETAS model Abstract Point process models of seismic catalogs and in short- term earthquake forecasting. The standard errors of parameter estimates of conventional standard error estimates based on the Hessian matrix of the log- likelihood function of the ETAS

Schoenberg, Frederic Paik (Rick)

340

Fast DOA estimation of incoherently distributed sources by novel propagator  

Science Journals Connector (OSTI)

A low-complexity algorithm is presented for the estimation of the nominal direction-of-arrivals (DOAs) of incoherently distributed (ID) sources. The presented algorithm estimates the nominal DOAs of ID sources by a novel propagator method which makes ... Keywords: DOA estimation, Incoherently distributed sources, Novel propagator, Uniform linear array (ULA)

Zhi Zheng; Guangjun Li

2013-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "low-end estimate usd" 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

Fuzzy Estimation of DC Motor Winding Currents Innovatia Software  

E-Print Network [OSTI]

stator windings. an attractive alternative to current estimation using In order to implement an eFuzzy Estimation of DC Motor Winding Currents Dan Simon Innovatia Software 775 Rothrock Circle °ux is rotated in the desired direction of ofuzzy ¯ltering to motor winding current estimation

Simon, Dan

342

Estimating Dataset Size Requirements for Classifying DNA Microarray Data  

E-Print Network [OSTI]

Estimating Dataset Size Requirements for Classifying DNA Microarray Data S. Mukherjee*+#1 , P methodology for estimating dataset size requirements for classifying microarray data using learning curves is introduced. The goal is to use existing classification results to estimate dataset size requirements

Poggio, Tomaso

343

EPA 402-R-93-076 ESTIMATING RADIOGENIC CANCER RISKS  

E-Print Network [OSTI]

comparing health risk estimates due to low level exposures of low-LET radiation based on models recently This document presents a revised methodology for EPA's estimation of cancer risks due to low-LET radiation, the risk models are applied to estimate organ-specific risks, per unit dose, for a stationary population

344

Working Paper No. 789 ESTIMATING COKE AND PEPSI'S PRICE  

E-Print Network [OSTI]

Working Paper No. 789 ESTIMATING COKE AND PEPSI'S PRICE AND ADVERTISING STRATEGIES (formerly Estimating Firms'Mixed Price and Advertising Strategies: Coke and Pepsi) by Amos Golan, Larry S. Karp. #12;Estimating Coke and Pepsi's Price and Advertising Strategies Amos Golan* Larry S. Karp** Jeffrey M

Karp, Larry S.

345

REITERATIVE MINIMUM MEAN SQUARE ERROR ESTIMATOR FOR DIRECTION OF ARRIVAL ESTIMATION AND BIOMEDICAL FUNCTIONAL BRAIN IMAGING  

E-Print Network [OSTI]

line indicates t = 1.025 s on the time axis .................. 98 Figure 5-38. An example of the third stage. Top: true dipoles responsible for ASSR and the dipole locations estimated by SAFFIRE-2 with 3-of-5 detector in 3D plot for data at around...

Chan, Tsz Ping

2008-07-25T23:59:59.000Z

346

Ten years of probabilistic estimates of biocrystal solvent content: new insights via nonparametric kernel density estimate  

Science Journals Connector (OSTI)

The widely used 2003 Matthews probability calculator predicting the most probable number of molecules in the asymmetric unit as a function of resolution has been updated with 2013 data, and a new parameter-free kernel density estimator has been implemented. Analysis of multiple parameters confirms that solvent content remains the primary and dominating parameter determining the diffraction limit (resolution) of protein crystals.

Weichenberger, C.X.

2014-05-24T23:59:59.000Z

347

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

7/22/2011 7/22/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: May 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were slightly below normal in May 2011.

348

Title, Location, Document Number Estimated Cost Description  

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

1/23/2013 1/23/2013 Transmittal to State: TBD EA Approval: TBD FONSI: TBD EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: Total Estimated Cost $0 Office of Legacy Management Jan-13 Annual NEPA Planning Summary Evaluation of Proposed Grazing on the Maybell and Maybell West UMTRCA sites, Colorado TBD DOE is seeking reuse of the lands associated with the Maybell and Maybell West UMTRCA disposal sites in Moffat County, in northwestern Colorado. Potential impacts from grazing would be evaluated in this EA. The schedule and costs have yet to be determined since EA determination was recently made.

349

Contractor: Contract Number: Contract Type: Total Estimated  

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

Number: Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Earned FY2008 $2,550,203 FY2009 $39,646,446 FY2010 $64,874,187 FY2011 $66,253,207 FY2012 $41,492,503 FY2013 $0 FY2014 FY2015 FY2016 FY2017 FY2018 Cumulative Fee Earned $214,816,546 Fee Available $2,550,203 Minimum Fee $77,931,569 $69,660,249 Savannah River Nuclear Solutions LLC $458,687,779 $0 Maximum Fee Fee Information $88,851,963 EM Contractor Fee Site: Savannah River Site Office, Aiken, SC Contract Name: Management & Operating Contract September 2013 DE-AC09-08SR22470

350

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

Burn Non-Lignite Coal Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: October 2010 Section 1. Commentary Electric Power Data In October 2010, the contiguous United States experienced temperatures that were above average. Accordingly, the total population-weighted heating degree days for the United States were 15.6 percent below the October normal. Retail sales of electricity remained relatively unchanged from October 2009. Over the same period, the average U.S. retail price of electricity increased 1.8 percent. For the 12-month period ending October 2010, the average U.S.

351

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

6/24/2011 6/24/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: April 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were above normal in April 2011.

352

Flash Estimate July 2005 Final.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: May 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

353

Guidelines for Estimating Unmetered Industrial Water Use  

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

Guidelines for Guidelines for Estimating Unmetered Industrial Water Use Prepared for U.S. Department of Energy Federal Energy Management Program By Pacific Northwest National Laboratory Brian Boyd Revised September 2011 Source: Michael Kauffmann 2 Contacts Will Lintner Federal Energy Management Program 1000 Independence Ave., S.W. Washington, D.C. 20585-0121 Phone: (202) 586-3120 E-mail: William.Lintner@ee.doe.gov Brian Boyd Pacific Northwest National Laboratory 902 Battelle Boulevard Richland, WA 99352 Phone: (509) 371-6724 E-mail: Brian.Boyd@pnnl.gov 3 Acknowledgements This document was prepared by the Pacific Northwest National Laboratory (PNNL) on behalf of the Federal Energy Management Program. PNNL would like to thank the Federal Water Working Group of the Interagency Energy Management Task Force, which provided initial

354

Guidelines for Estimating Unmetered Industrial Water Use  

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

Guidelines for Guidelines for Estimating Unmetered Industrial Water Use Prepared for U.S. Department of Energy Federal Energy Management Program By Pacific Northwest National Laboratory Brian Boyd Revised September 2011 Source: Michael Kauffmann 2 Contacts Will Lintner Federal Energy Management Program 1000 Independence Ave., S.W. Washington, D.C. 20585-0121 Phone: (202) 586-3120 E-mail: William.Lintner@ee.doe.gov Brian Boyd Pacific Northwest National Laboratory 902 Battelle Boulevard Richland, WA 99352 Phone: (509) 371-6724 E-mail: Brian.Boyd@pnnl.gov 3 Acknowledgements This document was prepared by the Pacific Northwest National Laboratory (PNNL) on behalf of the Federal Energy Management Program. PNNL would like to thank the Federal Water Working Group of the Interagency Energy Management Task Force, which provided initial

355

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

9/20/2011 9/20/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: July 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures

356

Flash Estimate August 2005 Final.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: June 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

357

Estimating photometric redshifts with artificial neural networks  

E-Print Network [OSTI]

A new approach to estimating photometric redshifts - using Artificial Neural Networks (ANNs) - is investigated. Unlike the standard template-fitting photometric redshift technique, a large spectroscopically-identified training set is required but, where one is available, ANNs produce photometric redshift accuracies at least as good as and often better than the template-fitting method. The Bayesian priors on the underlying redshift distribution are automatically taken into account. Furthermore, inputs other than galaxy colours - such as morphology, angular size and surface brightness - may be easily incorporated, and their utility assessed. Different ANN architectures are tested on a semi-analytic model galaxy catalogue and the results are compared with the template-fitting method. Finally the method is tested on a sample of ~ 20000 galaxies from the Sloan Digital Sky Survey. The r.m.s. redshift error in the range z < 0.35 is ~ 0.021.

Andrew E. Firth; Ofer Lahav; Rachel S. Somerville

2002-03-15T23:59:59.000Z

358

Chapter 17: Estimating Net Savings: Common Practices  

SciTech Connect (OSTI)

This chapter focuses on the methods used to estimate net energy savings in evaluation, measurement, and verification (EM&V) studies for energy efficiency (EE) programs. The chapter provides a definition of net savings, which remains an unsettled topic both within the EE evaluation community and across the broader public policy evaluation community, particularly in the context of attribution of savings to particular program. The chapter differs from the measure-specific Uniform Methods Project (UMP) chapters in both its approach and work product. Unlike other UMP resources that provide recommended protocols for determining gross energy savings, this chapter describes and compares the current industry practices for determining net energy savings, but does not prescribe particular methods.

Violette, D. M.; Rathbun, P.

2014-09-01T23:59:59.000Z

359

County-level Estimates for Carbon Distribution in U.S. Croplands, 1990-2005 Method of Estimation  

E-Print Network [OSTI]

to estimate total above-ground biomass. Multiplying aboveground biomass with the root:shoot ratio provides an estimate of below-ground biomass. Finally, summing above- and below-ground biomass provides an estimate-carbon for U.S. crops. Crop Reporting units mass per unit (kg) Conversion to Dry matter Harvest Index Root

360

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

Note: This page contains sample records for the topic "low-end estimate usd" 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

Buildings GHG Mitigation Estimator Worksheet, Version 1 | Department of  

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

Buildings GHG Mitigation Estimator Worksheet, Version 1 Buildings GHG Mitigation Estimator Worksheet, Version 1 Buildings GHG Mitigation Estimator Worksheet, Version 1 Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be

362

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

363

Additional Resources for Estimating Building Energy and Cost Savings to  

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

Additional Resources for Estimating Building Energy and Cost Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases October 7, 2013 - 11:06am Addthis For evaluating greenhouse gas reduction strategies and estimating costs, the following information resources can help Federal agencies estimate energy and cost savings potential by building type. When deciding what resource to use for developing energy- and cost-savings estimates, a program should consider items detailed in Table 1. Table 1.Resources for Estimating Energy Savings Resource Items to consider Advanced Energy Retrofit Guides Based on representative building models of commercial buildings. Guidance available for a limited number of building types using the most common technologies.

364

Variance estimation for radiation analysis and multi-sensor fusion.  

SciTech Connect (OSTI)

Variance estimates that are used in the analysis of radiation measurements must represent all of the measurement and computational uncertainties in order to obtain accurate parameter and uncertainty estimates. This report describes an approach for estimating components of the variance associated with both statistical and computational uncertainties. A multi-sensor fusion method is presented that renders parameter estimates for one-dimensional source models based on input from different types of sensors. Data obtained with multiple types of sensors improve the accuracy of the parameter estimates, and inconsistencies in measurements are also reflected in the uncertainties for the estimated parameter. Specific analysis examples are presented that incorporate a single gross neutron measurement with gamma-ray spectra that contain thousands of channels. The parameter estimation approach is tolerant of computational errors associated with detector response functions and source model approximations.

Mitchell, Dean James

2010-09-01T23:59:59.000Z

365

Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates  

SciTech Connect (OSTI)

The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

2012-12-01T23:59:59.000Z

366

IDC RP2 & 3 US Industry Standard Cost Estimate Summary.  

SciTech Connect (OSTI)

Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, using a commercial software cost estimation tool calibrated to US industry performance parameters. This is not a cost estimate for Sandia to perform the project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

Harris, James M.; Huelskamp, Robert M.

2015-01-01T23:59:59.000Z

367

WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES  

Office of Legacy Management (LM)

ARLV - ARLV - 3 51 - 4 / WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES for the RULISON EVENT Final Report Albert H . S t o u t , Ray E . White, and V i r g i l E. Quinn Environmental Science Services Administration A i r Resources Laboratory - Las Vegas PROPERW OF U. S. GOVERNMENT Prepared Under Contract SF-54-351 f o r the Nevada Operations O f f i c e U . ' S . Atomic Energy Commission January 1970 LEGAL NOTSCCE ; L *U . . . . . - . T h i s r e p o r t w a s prepared a s an account o f Government spon- s o r e d work. N e i t h e r t h e United S t a t e s , nor t h e Commission, . n o r any person a c t i n g on b e h a l f of t h e Commission: A . Makes any warranty o r r e p r e s e n t a t i o n , e x p r e s s e d o r implied, w i t h r e s p e c t t o the a c c u r a c y , completeness, or u s e h l n e s s o f t h e information c o n t a i n e d i n t h i s r e p o r t , o r t h a

368

Pruning Neural Networks with Distribution Estimation Algorithms  

SciTech Connect (OSTI)

This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algorithm (GA), the paper considers three distribution estimation algorithms (DEAs): a compact GA, an extended compact GA, and the Bayesian Optimization Algorithm. The objective is to determine if the DEAs present advantages over the simple GA in terms of accuracy or speed in this problem. The experiments used a feed forward neural network trained with standard back propagation and public-domain and artificial data sets. The pruned networks seemed to have better or equal accuracy than the original fully-connected networks. Only in a few cases, pruning resulted in less accurate networks. We found few differences in the accuracy of the networks pruned by the four EAs, but found important differences in the execution time. The results suggest that a simple GA with a small population might be the best algorithm for pruning networks on the data sets we tested.

Cantu-Paz, E

2003-01-15T23:59:59.000Z

369

Improved dose estimates for nuclear criticality accidents  

SciTech Connect (OSTI)

Slide rules are improved for estimating doses and dose rates resulting from nuclear criticality accidents. The original slide rules were created for highly enriched uranium solutions and metals using hand calculations along with the decades old Way-Wigner radioactive decay relationship and the inverse square law. This work uses state-of-the-art methods and better data to improve the original slide rules and also to extend the slide rule concept to three additional systems; i.e., highly enriched (93.2 wt%) uranium damp (H/{sup 235}U = 10) powder (U{sub 3}O{sub 8}) and low-enriched (5 wt%) uranium mixtures (UO{sub 2}F{sub 2}) with a H/{sup 235}U ratio of 200 and 500. Although the improved slide rules differ only slightly from the original slide rules, the improved slide rules and also the new slide rules can be used with greater confidence since they are based on more rigorous methods and better nuclear data.

Wilkinson, A.D.; Basoglu, B.; Bentley, C.L.; Dunn, M.E.; Plaster, M.J.; Dodds, H.L. [Univ. of Tennessee, Knoxville, TN (United States). Nuclear Engineering Dept.; Haught, C.F. [Martin Marietta Utility Systems, Piketon, OH (United States); Yamamoto, T. [Japan Atomic Energy Research Inst., Tokai (Japan). Tokai Research Establishment; Hopper, C.M. [Oak Ridge National Lab., TN (United States)

1995-08-01T23:59:59.000Z

370

Multiple phase estimation in quantum cloning machines  

E-Print Network [OSTI]

Since the initial discovery of the Wootters-Zurek no-cloning theorem, a wide variety of quantum cloning machines have been proposed aiming at imperfect but optimal cloning of quantum states within its own context. Remarkably, most previous studies have employed the Bures fidelity or the Hilbert-Schmidt norm as the figure of merit to characterize the quality of the corresponding cloning scenarios. However, in many situations, what we truly care about is the relevant information about certain parameters encoded in quantum states. In this work, we investigate the multiple phase estimation problem in the framework of quantum cloning machines, from the perspective of quantum Fisher information matrix (QFIM). Focusing on the generalized d-dimensional equatorial states, we obtain the analytical formulas of QFIM for both universal quantum cloning machine (UQCM) and phase-covariant quantum cloning machine (PQCM), and prove that PQCM indeed performs better than UQCM in terms of QFIM. We highlight that our method can be generalized to arbitrary cloning schemes where the fidelity between the single-copy input and output states is input-state independent. Furthermore, the attainability of the quantum Cramer-Rao bound is also explicitly discussed.

Yao Yao; Li Ge; Xing Xiao; Xiao-guang Wang; Chang-pu Sun

2014-07-22T23:59:59.000Z

371

Retrofit Energy Savings Estimation Model | Open Energy Information  

Open Energy Info (EERE)

Retrofit Energy Savings Estimation Model Retrofit Energy Savings Estimation Model Jump to: navigation, search Tool Summary Name: Retrofit Energy Savings Estimation Model Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings Topics: Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: btech.lbl.gov/tools/resem/resem.htm Cost: Free Language: English References: Retrofit Energy Savings Estimation Model[1] Logo: Retrofit Energy Savings Estimation Model RESEM, the Retrofit Energy Savings Estimation Model, is a PC-based tool designed to allow Department of Energy (DOE) Institutional Conservation Program (ICP) staff and participants to reliably determine the energy savings directly caused by ICP-supported retrofit measures implemented in a

372

Robust Single-Qubit Process Calibration via Robust Phase Estimation  

E-Print Network [OSTI]

An important step in building a quantum computer is calibrating experimentally implemented quantum gates to produce operations that are close to ideal unitaries. The calibration step involves estimating the error in gates and then using controls to correct the implementation. Quantum process tomography is a standard technique for estimating these errors, but is both time consuming, (when one only wants to learn a few key parameters), and requires resources, like perfect state preparation and measurement, that might not be available. With the goal of efficiently estimating specific errors using minimal resources, we develop a parameter estimation technique, which can gauge two key parameters (amplitude and off-resonance errors) in a single-qubit gate with provable robustness and efficiency. In particular, our estimates achieve the optimal efficiency, Heisenberg scaling. Our main theorem making this possible is a robust version of the phase estimation procedure of Higgins et al. [B. L. Higgins, New J. Phys. 11, 073023 (2009)].

Shelby Kimmel; Guang Hao Low; Theodore J. Yoder

2015-02-09T23:59:59.000Z

373

The effect of missing data on wind resource estimation  

Science Journals Connector (OSTI)

Investment in renewable energy sources requires reliable data. However, meteorological datasets are often plagued by missing data, which can bias energy resource estimates if the missingness is systematic. We address this issue by considering the influence of missing data due to icing of equipment during the winter on the wind resource estimation for a potential wind turbine site in Norway. Using a mean-reverting jump-diffusion (MRJD) process to model electricity prices, we also account for the impact on the expected revenue from a wind turbine constructed at the site. While missing data due to icing significantly bias the wind resource estimate downwards, their impact on revenue estimates is dampened because of volatile electricity spot prices. By contrast, with low-volatility electricity prices, the effect of missing data on revenue estimates is highly significant. The seasonality-based method we develop removes most of the bias in wind resource and revenue estimation caused by missing data.

Aidan Coville; Afzal Siddiqui; Klaus-Ole Vogstad

2011-01-01T23:59:59.000Z

374

Estimation of common k for negative binomial distributions  

E-Print Network [OSTI]

ESTIMATION OF COMMON K FOR NEGATIVE BINOMIAL DISTRIBUTIONS A Thesis LUCIANA MARTA Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1982 Major... of Department) December 1982 ABSTRACT Estimation of Common k for Negative Binomial Distributions. (December 1982) Luciana Marts, B. S. , Univ. Nacional de Rosario, Argentina. Chairman of Advisory Committee: Dr. James H. Natis, Two aspects of estimating a...

Marta, Luciana

1982-01-01T23:59:59.000Z

375

EPA 402-R-99-003 ESTIMATING RADIOGENIC CANCER RISKS  

E-Print Network [OSTI]

of ionizing radiation. Using this methodology, numerical estimates of the risk per unit dose were derived the Agency's methodology for deriving estimates of excess cancer morbidity and mortality due to low doses-body radiation: the low-LET nominal estimate increased from 5.1Ã?10-2 Gy-1 to 5.75Ã?10-2 Gy-1 . In this document

376

Battery Calendar Life Estimator Manual Modeling and Simulation  

SciTech Connect (OSTI)

The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.

Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia

2012-10-01T23:59:59.000Z

377

Global emission estimates and radiative impact of C4  

E-Print Network [OSTI]

Global emission estimates and radiative impact of C4 F10 , C5 F12 , C6 F14 , C7 F16 and C8 F18 Chemistry and Physics Global emission estimates and radiative impact of C4F10, C5F12, C6F14, C7F16 and C8F18 (C7F16) and oc- tadecafluorooctane (C8F18). Emissions are estimated using a 3-dimensional chemical

378

Cost Estimating Guide - DOE Directives, Delegations, and Requirements  

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

G 413.3-21, Cost Estimating Guide by Ruben Sanchez Functional areas: Budget and Financial Management, Financial Management This Guide provides uniform guidance and best practices...

379

Quality Guidline for Cost Estimation Methodology for NETL Assessments...  

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

Energy Technology Laboratory Office of Program Performance and Benefits 2 Power Plant Cost Estimation Methodology Quality Guidelines for Energy System Studies April 2011...

380

Estimating Radiation Risk from Total Effective Dose Equivalent...  

National Nuclear Security Administration (NNSA)

and UNSCEAR 1988 in Radiation Risk Assessment - Lifetime Total Cancer Mortality Risk Estimates at Low Doses and Low Dose Rates for Low-LET Radiation, Committee on Interagency...

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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

Optimal phase estimation for qubits in mixed states  

SciTech Connect (OSTI)

We present the optimal phase estimation for qubits in mixed states, for an arbitrary number of qubits prepared in the same state.

D'Ariano, Giacomo Mauro; Macchiavello, Chiara; Perinotti, Paolo [QUIT Group of the INFM, unita di Pavia and Dipartimento di Fisica 'A. Volta', via Bassi 6, I-27100 Pavia (Italy)

2005-10-15T23:59:59.000Z

382

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...

383

Estimated Business Interruptions Losses of the Deepwater Horizon Oil Spill.  

E-Print Network [OSTI]

??A generalized framework of Economic Analysis of natural and man-made disasters is applied to the estimation of business interruption losses associated with an oil spill.… (more)

Vargas, Vanessa

2011-01-01T23:59:59.000Z

384

Geothermal reservoir temperatures estimated from the oxygen isotope...  

Open Energy Info (EERE)

temperatures estimated from the oxygen isotope compositions of dissolved sulfate and water from hot springs and shallow drillholes Jump to: navigation, search GEOTHERMAL...

385

Table E6. Transportation Sector Energy Price Estimates, 2012  

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

E6. Transportation Sector Energy Price Estimates, 2012 (Dollars per Million Btu) State Primary Energy Retail Electricity Total Energy Coal Natural Gas Petroleum Total Aviation...

386

Methodology for Estimating Reductions of GHG Emissions from Mosaic...  

Open Energy Info (EERE)

GHG Emissions from Mosaic Deforestation Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation...

387

Estimate Costs to Implement Greenhouse Gas Mitigation Strategies for Buildings  

Broader source: Energy.gov [DOE]

When estimating the cost of implementing the greenhouse gas (GHG) mitigation strategies, Federal agencies should consider the life-cycle costs and savings of the efforts.

388

The Effect of Surface Heterogeneity on Cloud Absorption Estimates  

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

Effect of Surface Heterogeneity on Cloud Absorption Estimates W. J. Wiscombe and A. Marshak National Aeronautics and Space Administration - Goddard Space Flight Center Climate and...

389

,"New York Dry Natural Gas Reserves Estimated Production (Billion...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2012...

390

Downgrading Recent Estimates of Land Available for Biofuel Production  

Science Journals Connector (OSTI)

? National Institute of Agricultural Technology (INTA), Buenos Aires, Argentina ... Recent estimates of additional land available for bioenergy production range from 320 to 1411 million ha. ...

Steffen Fritz; Linda See; Marijn van der Velde; Rachel A. Nalepa; Christoph Perger; Christian Schill; Ian McCallum; Dmitry Schepaschenko; Florian Kraxner; Ximing Cai; Xiao Zhang; Simone Ortner; Rubul Hazarika; Anna Cipriani; Carlos Di Bella; Ahmed H. Rabia; Alfredo Garcia; Mar’yana Vakolyuk; Kuleswar Singha; Maria E. Beget; Stefan Erasmi; Franziska Albrecht; Brian Shaw; Michael Obersteiner

2012-12-24T23:59:59.000Z

391

Effects of Seasonality on the Estimation of Environmental Extremes: A Study of Non-Homogeneous Methods for Estimating Environmental Extremes:.  

E-Print Network [OSTI]

??Extreme value theory is commonly applied in ocean engineering to estimate extreme environmental conditions (e.g. wave height and wind speed). Extreme value models generally assume… (more)

Trahan, A.C.

2013-01-01T23:59:59.000Z

392

Multi-area power system state estimation utilizing boundary measurements and phasor measurement units ( PMUs)  

E-Print Network [OSTI]

estimation is explained for a simple serial estimator. Then the thesis shows how conventional measurements and newer, more accurate PMU measurements work within the framework of weighted least squares estimation. Next, the multi-area state estimator...

Freeman, Matthew A

2006-10-30T23:59:59.000Z

393

Kalman Filter Constraint Switching for Turbofan Engine Health Estimation  

E-Print Network [OSTI]

, Estimation, Quadratic Pro- gramming, Residuals, Gas Turbine Engines. 1 Introduction For linear dynamic to constrain the state estimates. The confidence measure is based on the agreement of measurement residuals with their theoretical values. If some measurement residuals are low, and those residuals are highly sensitive to a given

Simon, Dan

394

Estimating Distances Using Least Cost Path Algorithms Rodney J. Dyer  

E-Print Network [OSTI]

Estimating Distances Using Least Cost Path Algorithms Rodney J. Dyer February 27, 2012 Overview This vignette covers the methods necessary to take a raster and estimate the least cost path distance between points. In doing so, this will cover: 1. Load in a 'raster blank' 2. Modify the raster to change relative

Dyer, Rodney J.

395

Retrieval of Melt Pond Coverage from MODIS using Optimal Estimation   

E-Print Network [OSTI]

results showed an error in melt pond coverage estimation of 1.1%. The technique was then applied to Svalbard sea ice over the 2003 melt season to produce an estimate of melt pond coverage evolution. This melt pond evolution showed a similar general trend...

Dodd, Emma

2011-11-24T23:59:59.000Z

396

Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem  

E-Print Network [OSTI]

Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem Exchange Data Luther in the context of a deterministic com- partmental carbon sequestration system. Sensitivity and approximation usefulness in the estimation of parameters within a compartmental carbon sequestration model. Previously we

White, Luther

397

Distributed Predictive Control and Estimation for Systems with Information  

E-Print Network [OSTI]

constraints and a stationary LQG (Linear Quadratic Gaussian) control law is presented based on the model control and estimation law is demonstrated through a numerical simulation of smart grid. KeywordsDistributed Predictive Control and Estimation for Systems with Information Structures Exemplified

398

Accurate Static Pose Estimation Combining Direct Regression and Geodesic Extrema  

E-Print Network [OSTI]

Accurate Static Pose Estimation Combining Direct Regression and Geodesic Extrema Brian Holt, Eng with the extraction of geodesic extrema to find extremities. We show how these approaches are complementary obtained by exploiting the geodesic structure supports accurate estimation of extremal points which cor

Bowden, Richard

399

Worm virulence estimation for the containment of local worm outbreak  

Science Journals Connector (OSTI)

A worm-infected host scanning globally may not cause any new infection in its underlying local network before it is detected and quarantined by a worm detector. To defend this type of scanning hosts, a number of worm scanner detection methods such as ... Keywords: Global scanning worms, Local scanning worms, Maximum likelihood estimation, Worm containment, Worm virulence estimation

Y. -H. Choi, L. Li, P. Liu, G. Kesidis

2010-02-01T23:59:59.000Z

400

Eigen-Inference for Energy Estimation of Multiple Sources  

E-Print Network [OSTI]

by overlaying the spectrum licensed to outdoors R. Couillet and M. Debbah are with the Alcatel-Lucent Chair techniques. Index Terms--Statistical inference, random matrix theory, power estimation, cognitive radio, G-estimation. I. INTRODUCTION At a time when radio resources become scarce, the alterna- tive offered by cognitive

Note: This page contains sample records for the topic "low-end estimate usd" 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

The Horseshoe Estimator for Sparse Signals Carlos M. Carvalho  

E-Print Network [OSTI]

The Horseshoe Estimator for Sparse Signals Carlos M. Carvalho Nicholas G. Polson University of Chicago Booth School of Business James G. Scott Duke University Department of Statistical Science October estimator. The horseshoe is a close cousin of other widely used Bayes rules arising from, for example

Qiu, Robert Caiming

402

Resource Optimization in a Wireless Sensor Network with Guaranteed Estimator  

E-Print Network [OSTI]

algorithm at the fusion center, and provide a closed-form expression for the steady-state error covariance energy consumption and guarantees a desired level of estimation quality at the fusion center. We further a single sensor may not be enough to provide a desired level of estimation quality, and data fusion from

Murray, Richard M.

403

Nitrogen trifluoride global emissions estimated from updated atmospheric measurements  

E-Print Network [OSTI]

Nitrogen trifluoride global emissions estimated from updated atmospheric measurements Tim Arnolda,1's radiative budget; however, our understand- ing of its atmospheric burden and emission rates has been limited together with an atmo- spheric model and inverse method, we estimate that the global emissions of NF3

Severinghaus, Jeffrey P.

404

Estimating Emissions in Latin America: An Alternative to Traffic Models  

E-Print Network [OSTI]

Estimating Emissions in Latin America: An Alternative to Traffic Models Margarita Ossés de Eicker; Hans Hurni, Centre for Development and Environment (CDE), University of Bern, Switzerland Emissions allow precise estimations of these emissions but are too expensive for a broad application. A simplifed

Richner, Heinz

405

Estimate Impact of Strategies on Greenhouse Gas Emissions  

Broader source: Energy.gov [DOE]

To estimate the GHG impact of a business travel reduction program, a Federal agency or program should quantify the number of trips that could be avoided each year. If an agency has a large proportion of international travel, the agency may estimate changes in domestic and international trips separately because the associated savings in miles can be very different.

406

Estimation of a sparse group of sparse vectors  

Science Journals Connector (OSTI)

......sparse representation. To estimate 1, . . . , m in (1) under the assumptions of between- and within-sparsity we pro- ceed as follows. From Donoho & Johnstone (1994a, b), it is known that the optimal strategy for estimating a single sparse vector......

Felix Abramovich; Vadim Grinshtein

2013-06-01T23:59:59.000Z

407

Acceleration of Maximum Likelihood Estimation for Tomosynthesis Mammography  

E-Print Network [OSTI]

the amount of x-ray radiation exposure to the patients, tomosynthesis uses a lower dose of x-ray than convenAcceleration of Maximum Likelihood Estimation for Tomosynthesis Mammography Juemin Zhang, Waleed twu2@partners.org Abstract Maximum likelihood (ML) estimation is used dur- ing tomosynthesis

Meleis, Waleed

408

Towards Automatically Estimating Porting Effort Between Web Service APIs  

E-Print Network [OSTI]

Towards Automatically Estimating Porting Effort Between Web Service APIs Hiranya Jayathilaka-defined and published interfaces (APIs), as modules in their applications. Public versions of these web APIs emerge to be able to estimate the workload associated with "porting" (or migrating) an application to a new API

California at Santa Barbara, University of

409

Two Applications of Nonparametric Regression in Survey Estimation  

E-Print Network [OSTI]

) Nonparametric model-assisted estimator (b) Utah Forest Survey 4. Specific Inference for Survey Data (a (m) System asp aspect (deg) (GIS) slope slope (deg) hillshd hillshade (solar radiation) N = 67, 216 Moderate generic specific model-assisted model-based Small specific small domain estimation · "Number

410

On theoretical pricing of options with fuzzy estimators  

Science Journals Connector (OSTI)

In this paper we present an application of a new method of constructing fuzzy estimators for the parameters of a given probability distribution function, using statistical data. This application belongs to the financial field and especially to the section ... Keywords: Adaptive fuzzy numbers, Black-Scholes option pricing formula, Fuzzy estimators, Fuzzy volatility, Possibilistic mean

Konstantinos A. Chrysafis; Basil K. Papadopoulos

2009-01-01T23:59:59.000Z

411

Methods for verifying satellite precipitation estimates Elizabeth E. Ebert  

E-Print Network [OSTI]

1 Methods for verifying satellite precipitation estimates Elizabeth E. Ebert Bureau of Meteorology, Melbourne, Australia Introduction Satellite precipitation estimates are widely used to measure global rainfall on monthly timescales for climate studies (e.g., Huffman et al., 1997). Near real time satellite

Ebert, Beth

412

Parameter estimation for knowledge and diagnosis of electrical machines  

E-Print Network [OSTI]

Chapitre 1 Parameter estimation for knowledge and diagnosis of electrical machines Jean in "Control Methods for Electrical Machines, ISTE Ltd and John Wiley & Sons Inc (Ed.) (2009) 207-243" DOI : 10.1002/9780470611760 #12;Chapter 1 Parameter estimation for knowledge and diagnosis of electrical machines 1

Boyer, Edmond

413

ACCELERATED SPATIO-TEMPORAL WAVELET TRANSFORMS: AN ITERATIVE TRAJECTORY ESTIMATION. *  

E-Print Network [OSTI]

ACCELERATED SPATIO-TEMPORAL WAVELET TRANSFORMS: AN ITERATIVE TRAJECTORY ESTIMATION. * Jean accelerated motion in spatio-temporal discrete sig- nals. It is assumed that the digital signals of inter- est, they contain all the orders of acceleration. The purpose of this work is to estimate the trajectory

Wickerhauser, M. Victor

414

POSITIVITY CASES, ESTIMATES AND ASYMPTOTIC EXPANSIONS FOR CONDENSER CAPACITIES.  

E-Print Network [OSTI]

POSITIVITY CASES, ESTIMATES AND ASYMPTOTIC EXPANSIONS FOR CONDENSER CAPACITIES. ALAIN BONNAF´E Abstract. We study positivity cases, estimates and asymptotic expansions of condenser p the internal part of the condenser has a non-empty interior. The study of the point and its approximation

Boyer, Edmond

415

Towards Human Energy Expenditure Estimation Using Smart Phone Inertial Sensors  

E-Print Network [OSTI]

to reliably estimate energy expenditure (EE). Direct calorimetry [5] measures the heat produced by human bodyTowards Human Energy Expenditure Estimation Using Smart Phone Inertial Sensors Bozidara Cvetkovi´c1 human energy expenditure during sport and normal daily ac- tivities. The paper presents technical

LuÂ?trek, Mitja

416

Updated radiative forcing estimates of 65 halocarbons and nonmethane  

E-Print Network [OSTI]

Updated radiative forcing estimates of 65 halocarbons and nonmethane hydrocarbons 1234567 89A64BC7,493-20,505,SEPTEMBER 16,2001 Updated radiative forcing estimates of 65 halocarbons and nonmethane hydrocarbons Kamaljit representhemisphericdifferencesin water vapor, ozoneconcentrations,and cloud cover. Instantaneous,clear-skyradiative forcing

Wirosoetisno, Djoko

417

agronomie: agriculture and environment Estimation des apports de produits phytosanitaires  

E-Print Network [OSTI]

a method to evaluate the input of agrochemicals on an agricultural watershed. First, land use was estimated (RGA). Second, the input of agrochemicals on each cropping was estimated, since 1970, from a survey of agrochemicals was computed as the product of the input of agrochemicals on each cropping and the surface area

Paris-Sud XI, Université de

418

Estimating the Potential Impact of Renewable Energy on the Caribbean  

E-Print Network [OSTI]

Estimating the Potential Impact of Renewable Energy on the Caribbean Job Sector Rebekah Shirley spur the creation of more jobs per unit of energy delivered locally than `business as usual' fossil with its Energy Efficiency (EE) and Renewable Energy (RE) campaign. We present a Green Jobs estimator which

Kammen, Daniel M.

419

ON THE RELIABILITY OF POLARIZATION ESTIMATION USING ROTATION MEASURE SYNTHESIS  

SciTech Connect (OSTI)

We benchmark the reliability of the rotation measure (RM) synthesis algorithm using the 1005 Centaurus A field sources of Feain et al. The RM synthesis solutions are compared with estimates of the polarization parameters using traditional methods. This analysis provides verification of the reliability of RM synthesis estimates. We show that estimates of the polarization parameters can be made at lower signal-to-noise ratio (S/N) if the range of RMs is bounded, but reliable estimates of individual sources with unusual RMs require unconstrained solutions and higher S/N. We derive from first principles the statistical properties of the polarization amplitude associated with RM synthesis in the presence of noise. The amplitude distribution depends explicitly on the amplitude of the underlying (intrinsic) polarization signal. Hence, it is necessary to model the underlying polarization signal distribution in order to estimate the reliability and errors in polarization parameter estimates. We introduce a Bayesian method to derive the distribution of intrinsic amplitudes based on the distribution of measured amplitudes. The theoretically derived distribution is compared with the empirical data to provide quantitative estimates of the probability that an RM synthesis solution is correct as a function of S/N. We provide quantitative estimates of the probability that any given RM synthesis solution is correct as a function of measured polarized amplitude and the intrinsic polarization amplitude compared to the noise.

Macquart, J.-P.; Ekers, R. D. [ICRAR/Curtin University of Technology, Bentley, WA 6845 (Australia); Feain, I. [CSIRO Astronomy and Space Science, P.O. Box 76, Epping, NSW 1710 (Australia); Johnston-Hollitt, M., E-mail: J.Macquart@curtin.edu.au [School of Chemical and Physical Sciences, Victoria University of Wellington, P.O. Box 600, Wellington 6140 (New Zealand)

2012-05-10T23:59:59.000Z

420

Microsoft PowerPoint - Cost Estimating for Hydro Planning  

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

Estimating Estimating for Hydropower Project Planning M Th Mona Thomason Chief, Product Coordination Branch Hydroelectric Design Center 13 J 2012 13 June 2012 US Army Corps of Engineers BUILDING STRONG ® Overview Overview  Background g  USACE hydropower project cost estimating y p p j g process  Challenges in cost estimating & strategies for mitigation of cost risk BUILDING STRONG ® HYDROELECTRIC DESIGN CENTER 2 USACE regulations USACE regulations  ER 1110-1-1300 Cost Engineering Policy and General Requirements  ER 1110-2-1150 Engineering and Design for Civil Works Project  ER 1110-2-1302 Civil Works Cost Engineering ETL 1110 2 573 C t ti C t E ti ti  ETL 1110-2-573 Construction Cost Estimating Guide for Civil Works BUILDING STRONG ® HYDROELECTRIC DESIGN CENTER 3 Hydroelectric

Note: This page contains sample records for the topic "low-end estimate usd" 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

Estimate and Analyze Greenhouse Gas Mitigation Strategy Implementation  

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

Estimate and Analyze Greenhouse Gas Mitigation Strategy Estimate and Analyze Greenhouse Gas Mitigation Strategy Implementation Costs Estimate and Analyze Greenhouse Gas Mitigation Strategy Implementation Costs October 7, 2013 - 10:18am Addthis Analyzing the cost of implementing each greenhouse gas (GHG) mitigation measure provides an important basis for prioritizing different emission reduction strategies. While actual costs should be used when available, this guidance provides cost estimates or considerations for the major emission reduction measures to help agencies estimate costs without perfect information. Cost criteria the agency may consider when prioritizing strategies include: Lifecycle cost Payback Cost effectiveness ($ invested per MTCO2e, metric tonne carbon dioxide equivalent avoided). Implementation costs should be analyzed for each emissions source:

422

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

Appliance and Home Electronic Energy Use Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

423

Estimated Annual Net Change in Soil Carbon per US County  

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

Estimated Annual Net Change in Soil Carbon per US County These data represent the estimated net change (Megagram per year) in soil carbon due to changes in the crop type and tillage intensity. Estimated accumulation of soil carbon under Conservation Reserve Program (CRP)lands is included in these estimates. Negative values represent a net flux from the atmosphere to the soil; positive values represent a net flux from the soil to the atmosphere. As such, soil carbon sequestration is represented here as a negative value. The method of analysis is based on empirical relationshipsbetween land management and soil carbon. The method for modeling land management and estimating soil carbonchange, used to generate these data, is described in the following publication:

424

Estimation of Spectral Characteristics of Particles Ejected From Free  

National Nuclear Security Administration (NNSA)

Estimation of Spectral Characteristics of Particles Ejected From Free Estimation of Spectral Characteristics of Particles Ejected From Free Surfaces of Metals and Liquids Under Shock Wave Effect A.B.Georgievskaya, V.A.Raevsky RFNC-VNIIEF, Sarov, Russia The authors present approximated relations for estimations of the basic characteristics of flow of particles ejected from free surface of substance after shock wave arrival (shock-wave ejecta). The problem is considered as a particular case of the Richtmayer-Meshkov instability. Periodic perturbations on free surface, which are sinusoidal and having triangular shape, are considered as the initial perturbations causing formation of jets and particles. The medium is assumed to be liquid with surface tension. The role of viscosity is estimated. In the work, the authors obtained equations for estimations of the following characteristics of the particle

425

Mandatory Photovoltaic System Cost Estimate | Department of Energy  

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

Mandatory Photovoltaic System Cost Estimate Mandatory Photovoltaic System Cost Estimate Mandatory Photovoltaic System Cost Estimate < Back Eligibility Utility Savings Category Solar Buying & Making Electricity Program Info State Colorado Program Type Line Extension Analysis Provider Colorado Public Utilities Commission At the request of a customer or a potential customer, Colorado electric utilities are required to conduct a cost comparison of a photovoltaic (PV) system to any proposed distribution line extension if the customer or potential customer provides the utility with load data (estimated monthly kilowatt-hour usage) requested by the utility to conduct the comparison, and if the customer's or potential customer's peak demand is estimated to be less than 25 kilowatts (kW). In performing the comparison analysis, the

426

Methodology for Estimating Reductions of GHG Emissions from Mosaic  

Open Energy Info (EERE)

Methodology for Estimating Reductions of GHG Emissions from Mosaic Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation Agency/Company /Organization: World Bank Sector: Land Focus Area: Forestry Topics: Co-benefits assessment, GHG inventory, Resource assessment Resource Type: Publications Website: wbcarbonfinance.org/docs/REDD_Mosaic_Methodology.pdf Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation Screenshot References: Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation[1] Overview "This methodology is for project activities that reduce emissions of greenhouse gases (GHG) from mosaic deforestation and, where relevant and

427

Methodology for EIA Weekly Underground Natural Gas Storage Estimates  

Weekly Natural Gas Storage Report (EIA)

Methodology for EIA Weekly Underground Natural Gas Storage Estimates Methodology for EIA Weekly Underground Natural Gas Storage Estimates Latest Update: November 25, 2008 This report consists of the following sections: Survey and Survey Processing - a description of the survey and an overview of the program Sampling - a description of the selection process used to identify companies in the survey Estimation - how the regional estimates are prepared from the collected data Computing the 5-year Averages, Maxima, Minima, and Year-Ago Values for the Weekly Natural Gas Storage Report - the method used to prepare weekly data to compute the 5-year averages, maxima, minima, and year-ago values for the weekly report Derivation of the Weekly Historical Estimates Database - a description of the process used to generate the historical database for the

428

Jordan Thayer and Wheeler Ruml (UNH) Distance Estimates For Search 1 / 40 Using Distance Estimates In Heuristic Search  

E-Print Network [OSTI]

Jordan Thayer and Wheeler Ruml (UNH) Distance Estimates For Search ­ 1 / 40 Using Distance Estimates In Heuristic Search Jordan T. Thayer and Wheeler Ruml jtd7, ruml at cs.unh.edu slides at: http Search Bounded Suboptimal Anytime Search Summary Backup Slides Jordan Thayer and Wheeler Ruml (UNH

Ruml, Wheeler

429

Worm virulence estimation for the containment of local worm outbreak  

Science Journals Connector (OSTI)

A worm-infected host scanning globally may not cause any new infection in its underlying local network before it is detected and quarantined by a worm detector. To defend this type of scanning hosts, a number of worm scanner detection methods such as failed scan detection, honeypot, and dark port detection are proposed. However, for a stealthier worm limiting its scan inside an enterprise network, the chance of a successful local outbreak increases substantively due to the more limited scan space. To protect a local or enterprise network against a local outbreak, we need a coordinated and cost-conscious defense that entails an accurate estimate of worm virulence level. Unfortunately, many existing defense methods suffer from estimating the worm virulence level in a local or enterprise network. In this regard, we propose a maximum likelihood estimator to progressively estimate the size of susceptible host population in the local or enterprise network. From analysis and experimental evaluation, it is shown that the proposed estimator can report a reliable estimate of the size of susceptible population only after a few infections, sometimes only four, much faster than a similar method based on a Kalman filter. Also, based on maximum likelihood estimate, an appropriate containment threshold can be set to effectively stop the worm propagation while causing minimum service disruption to normal network users.

Y.-H. Choi; L. Li; P. Liu; G. Kesidis

2010-01-01T23:59:59.000Z

430

Methodology for reconstruction of historical food consumption estimates  

SciTech Connect (OSTI)

This report was written to provide the food consumption methodology to be used in the Hanford Environmental Dose Reconstruction (HDER) Project beyond Phase I (which ended in July 1990). In Phase I (Callaway 1992), baseline food consumption estimates (grams per day) for 10 primary food types in the original 10-county study region were derived from the 1977--1978 National Food Consumption Survey (USDA 1983). The baseline estimates were multiplied by the 1945:1977 ratios to produce consumption estimates for 1945. This ratio backcasting method used in Phase I to project consumption estimates from 1977 back to 1945 will be refined using additional USDA data to improve and document the acceptability of the ratios for deriving backcast consumption estimates. The number of food types and population groups will be expanded to provide more disaggregated estimates of food consumption. Food consumption estimates will be developed for 1945, 1951, and 1957. A database of individual diets will be created from which daily diets will be randomly selected for use in the dose model to calculate doses for reference individuals.

Anderson, D.M.

1992-05-01T23:59:59.000Z

431

Automotive advertising copy test. Final report. [Mileage estimates  

SciTech Connect (OSTI)

The purpose of this research project was to explore the following issues: (1) mileage recall/recognition of miles per gallon/highway mileage estimates in print ads by advertisement readers; (2) determine consumer expectations and believability of advertised mileage guidelines; (3) measure recall/comprehension of mileage disclaimers; and (4) determine how consumers utilize published mileage estimates. The evidence from this study points to a public which is quite familiar with the EPA mileage estimates, in terms of using them as guidelines and in finding them to be helpful. Most adults also appear to be knowledgeable about factors which can affect car performance and, therefore, anticipate that, within certain tolerances, their actual mileage will differ from the EPA estimates. Although the consumer has been educated regarding fuel estimates, there is a very strong suggestion from this research that typical automobile print advertising does a less than an effective job in generating awareness of specific EPA estimates as well as their attendant disclaimer. Copy strategy and execution have a critical impact on recall of the EPA mileage estimates. 18 tables.

Not Available

1984-10-01T23:59:59.000Z

432

Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988  

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

Manufacturing > Derived Annual Estimates - Executive Summary Manufacturing > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the U.S. economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982-84 and 1986-87. For the purposes of this report, "purchased" energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the U.S. Department of Commerce Bureau of the Census's Annual Survey of Manufactures (ASM) and EIA's Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as "offsite-produced fuels." The completed annual series for 1974 to 1988 developed in this report links the ASM and MECS "offsite" series, estimating for the missing years. Estimates are provided for the manufacturing sector as a whole and at the two-digit Standard Industrial Classification (SIC) level for total energy consumption and for the consumption of individual fuels. There are no direct sources of data for the missing years (1982-1984 and 1986-1987). To derive consumption estimates, a comparison was made between the ASM, MECS, and other economic series to see whether there were any good predictors for the missing data. Various estimation schemes were analyzed to fill in the gaps in data after 1981 by trying to match known data for the 1974 to 1981 period.

433

NETL: News Release - DOE Estimates Future Freshwater Needs to Meet  

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

5, 2006 5, 2006 DOE Estimates Future Freshwater Needs to Meet Thermoelectric Power Demand New Analysis Examines Regional Differences in Freshwater Needs, Provides Baseline for Measuring Research Progress WASHINGTON, DC - In support of an emerging energy-water research program, the U.S. Department of Energy's National Energy Technology Laboratory (NETL) has updated its groundbreaking 2004 study estimating future freshwater requirements for the U.S. thermoelectric generation sector. Bringing a much-needed regional focus, the new report, Estimating Freshwater Needs to Meet Future Thermoelectric Generation Requirements, identifies a dichotomy between national and local freshwater needs and pinpoints where critical water issues could develop. MORE INFO Read the report

434

Estimating Equivalency of Explosives Through A Thermochemical Approach  

SciTech Connect (OSTI)

The Cheetah thermochemical computer code provides an accurate method for estimating the TNT equivalency of any explosive, evaluated either with respect to peak pressure or the quasi-static pressure at long time in a confined volume. Cheetah calculates the detonation energy and heat of combustion for virtually any explosive (pure or formulation). Comparing the detonation energy for an explosive with that of TNT allows estimation of the TNT equivalency with respect to peak pressure, while comparison of the heat of combustion allows estimation of TNT equivalency with respect to quasi-static pressure. We discuss the methodology, present results for many explosives, and show comparisons with equivalency data from other sources.

Maienschein, J L

2002-07-08T23:59:59.000Z

435

On the empirical statistics of parameter estimates in parametric modeling  

E-Print Network [OSTI]

FOR ESTIMATING HIGHLY DAMPED SINUSOIDAL SIGNALS IN ADDTIVE NOISE Page 4. 1 Introduction 4. 2 Eigenvector Method 4. 3 Weighted Least Squares Estimation of Damped Sinusoids Based on. Noise-Reduced Data 4. 3. 1 Noise Reduction with SVD 4. 3. 2 Weighted Least... Squares Method 4. 3. 3 Experimental Results 55 59 63 63 65 68 V CONCLUSIONS AND POSSIBLE EXTENSIONS REFERENCES 72 VITA 77 LIST OF TABLES Table 2. 1 The sample biases of the parameter estimates using Burg lattice method, in model one...

Zhu, Yao

1988-01-01T23:59:59.000Z

436

Unbiased estimators of wildlife population densities using aural information  

E-Print Network [OSTI]

. Using L' = 1. 99, and p = 1/3, from (30) an estimate of the density is n 108. 85 f A ] 99(3)(4QQQ)(] /3) . 0136 dove pairs/acre s = 1. 36 dove pairs/100 acres. 25 This is the same estimate we obtained using DI. The reason for this is explained...(7. 50) 1. 12 ? (2 422) (3) (40) (1(3) (0. 96, l. 28) 3. 4 Suggestions for Improvements At present, the call-count technique for estimating the density of mourning doves seems satisfactory for establishing a relative density index, but to get a good...

Durland, Eric Newton

1969-01-01T23:59:59.000Z

437

MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT  

SciTech Connect (OSTI)

The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost (LCC) estimate and schedule update incorporating information from the Viability Assessment (VA) , License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

R.E. Sweeney

2001-02-08T23:59:59.000Z

438

ACCURATE MASS ESTIMATORS FOR NAVARRO-FRENK-WHITE HALOS  

SciTech Connect (OSTI)

We consider the problem of estimating the virial mass of a dark halo from the positions and velocities of a tracer population. Although a number of general tools are available, more progress can be made if we are able to specify the functional form of the halo potential (although not its normalization). Here, we consider the Navarro-Frenk-White halo and develop two simple estimators. We demonstrate their effectiveness against numerical simulations and use them to provide new mass estimates of Carina, Fornax, Sculptor, and Sextans dwarf spheroidal galaxies.

Evans, N. W.; Deason, A. J. [Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA (United Kingdom); An, J., E-mail: nwe@ast.cam.ac.uk, E-mail: ajd75@cam.ac.uk, E-mail: jinan@nao.cas.cn [National Astronomical Observatories, Chinese Academy of Sciences, A20 Datun Road, Chaoyang District, Beijing 100012 (China)

2011-04-01T23:59:59.000Z

439

arXiv:physics/0505007v26May2005 TAKING NANOTECHNOLOGY TO SCHOOLS  

E-Print Network [OSTI]

industrial revolution. No wonder, total worldwide R&D spending on nanotechnology in 2004 was an estimated USD the fact that "the relatively small number of applications . . . that have made it through to industrial matter and processes at the nanoscale undoubtedly exists in many aca- demic and industrial laboratories

Lakhtakia, Akhlesh

440

Econometric Estimation of the Aggregate Impacts of Energy Efficiency  

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

Econometric Estimation of the Aggregate Impacts of Energy Efficiency Econometric Estimation of the Aggregate Impacts of Energy Efficiency Programs: Report on a California Pilot Study Speaker(s): Marvin J. Horowitz Date: February 26, 2013 - 2:00pm Location: 90-3075 Seminar Host/Point of Contact: Alan Sanstad The California Public Utilities Commission (CPUC) recently funded a study in which local area aggregated electricity and natural gas consumption in California from 2006 through 2010 were analyzed econometrically. Data were available to estimate electricity energy efficiency program impacts for two of the three large California investor-owned utilities. The findings indicate that net savings from these programs for the 2006-2010 period amounted to 11,391 GWh, or 7.3 percent of annual electricity consumption. This point estimate is 50 percent higher than the CPUC

Note: This page contains sample records for the topic "low-end estimate usd" 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

Estimating Demand Response Market Potential | Open Energy Information  

Open Energy Info (EERE)

Estimating Demand Response Market Potential Estimating Demand Response Market Potential Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Estimating Demand Response Market Potential Focus Area: Energy Efficiency, - Utility Topics: Socio-Economic Website: www.ieadsm.org/Files/Tasks/Task%20XIII%20-%20Demand%20Response%20Resou Equivalent URI: cleanenergysolutions.org/content/estimating-demand-response-market-pot Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: Resource Integration Planning This resource presents demand response (DR) potential results from top-performing programs in the United States and Canada, as well as a DR

442

Estimation of static formation temperatures in geothermal wells | Open  

Open Energy Info (EERE)

Estimation of static formation temperatures in geothermal wells Estimation of static formation temperatures in geothermal wells Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Estimation of static formation temperatures in geothermal wells Abstract Stabilized formation temperatures were estimated at different depths in 40 wells from the Los Humeros geothermal field, Mexico, using the Horner and the spherical radial flow (SRF) methods. The results showed that the Horner method underestimates formation temperatures, while the SRF method gives temperatures that are closer to the true formation temperatures. This was supported by numerical simulation of a combined circulation and shut-in period in several wells, and results for well H-26 are presented. Numerical reproduction of logged temperature is more feasible if an initial

443

Estimating the Value of Electricity Storage Resources in Electricity  

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

Estimating the Value of Electricity Storage Resources in Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The purpose of this report is to assist the U.S. Department of Energy (DOE) in 1) establishing a framework for understanding the role electricity storage resources (storage) can play in wholesale and retail electricity markets, 2) assessing the value of electricity storage in a variety of regions or markets, 3) analyzing current and potential issues that can affect the valuation of storage by investors at the wholesale and retail level, and 4) identifying areas for future research and development for electricity storage technologies and applications. EAC - Estimating the Value of Electricity Storage Resources in Electricity

444

Property:EstimatedTimeExplained | Open Energy Information  

Open Energy Info (EERE)

EstimatedTimeExplained EstimatedTimeExplained Jump to: navigation, search Property Name EstimatedTimeExplained Property Type Text Description An explanation of the accompanying time estimate, including any influential factors or variables. Subproperties This property has the following 40 subproperties: G GRR/Elements/14-CA-b.1 - NPDES Permit Application GRR/Elements/14-CA-b.10 - Did majority of RWQCB approve the permit GRR/Elements/14-CA-b.11 - EPA Review of Adopted Permit GRR/Elements/14-CA-b.12 - Were all EPA objections resolved GRR/Elements/14-CA-b.13 - NPDES Permit issued GRR/Elements/14-CA-b.2 - Review of application for completeness GRR/Elements/14-CA-b.3 - Is the application complete for the Regional Water Quality Control Board GRR/Elements/14-CA-b.4 - EPA review for completeness

445

The Greenhouse Gas Protocol Initiative: Measurement and Estimation of  

Open Energy Info (EERE)

The Greenhouse Gas Protocol Initiative: Measurement and Estimation of The Greenhouse Gas Protocol Initiative: Measurement and Estimation of Uncertainty of GHG Emissions Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Greenhouse Gas Protocol Initiative: Measurement and Estimation of Uncertainty of GHG Emissions Agency/Company /Organization: World Resources Institute, World Business Council for Sustainable Development Sector: Energy, Climate Focus Area: Greenhouse Gas Phase: Determine Baseline, Evaluate Effectiveness and Revise as Needed Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.ghgprotocol.org/calculation-tools/all-tools Cost: Free References: GHG Uncertainty Guide[1] The Greenhouse Gas Protocol Uncertainty Tool is designed to facilitate a quantitative and qualitative estimation of uncertainty associated with a

446

An Estimate of Residential Energy Savings From IECC Change Proposals  

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

An Estimate of Residential Energy Savings From IECC Change Proposals An Estimate of Residential Energy Savings From IECC Change Proposals Recommended for Approval at the ICC's Fall, 2009, Initial Action Hearings The U.S. Department of Energy (DOE) has established ambitious goals to improve the energy efficiency requirements of the International Energy Conservation Code (IECC) for residential buildings. DOE has established near- and long-term goals of 30% and 50% energy efficiency improvements, respectively, compared to the 2006 IECC. This report presents DOE's approach to calculating residential energy consumption for the purpose of estimating energy savings attributable to improvements in the code. This approach is then used to estimate the national average energy savings, relative to the 2006 IECC, resulting from the proposed improvements DOE submitted and supported for the 2012 IECC.

447

BatPRO: Battery Manufacturing Cost Estimation | Argonne National...  

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

BatPRO: Battery Manufacturing Cost Estimation BatPRO models a stiff prismatic pouch-type cell battery pack with cells linked in series. BatPRO models a stiff prismatic pouch-type...

448

Estimating material and energy intensities of urban areas  

E-Print Network [OSTI]

The objective of this thesis is to develop methods to estimate, analyze and visualize the resource intensity of urban areas. Understanding the resource consumption of the built environment is particularly relevant in cities ...

Quinn, David James, Ph. D. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

449

Simple estimation of penetration rate of light in intertidal sediments  

Science Journals Connector (OSTI)

A simple estimation of light penetration in tidal flat sediments was developed using various sediment size fractions and their attenuation rate of irradiance. The attenuation coefficients of the...µm and 1000–200...

Kazuhiko Ichimi; Kuninao Tada; Shigeru Montani

2008-06-01T23:59:59.000Z

450

Some methods of oil and gas reserve estimation in Azerbaijan  

SciTech Connect (OSTI)

This article deals with the scientific and practical problems related to estimating oil and gas reserves in terrigenous reservoirs of the Productive Series of middle Pliocene and in Upper Cretaceous volcanic and sedimentary rocks. The deposits in question are spread over onshore Azerbaijan and adjacent offshore areas in the Caspian Sea and are approximately 6.5 km deep. This article presents lithologic, stratigraphic, and petrophysical criteria used for selecting prospects for reserve estimation. Also presented are information on structure of rocks and estimation of their lithologic and physical properties. New methods for the interpretation and application of petrophysical and logging data, as well as statistical estimation of reserves, in complex volcaniclastic reservoir rocks, are also discussed.

Abasov, M.T.; Buryakovsky, L.A.; Kondrushkin, Y.M.; Dzhevanshir, R.D.; Bagarov, T.Y. [Azerbaijan Academy of Sciences, Baku (Azerbaijan); Chilingar, G.V. [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Civil and Environmental Engineering

1997-08-01T23:59:59.000Z

451

Reach Survival Estimates, 2008 Bill Muir, Steve Smith, Doug Marsh,  

E-Print Network [OSTI]

Reach Survival Estimates, 2008 Bill Muir, Steve Smith, Doug Marsh, John Williams, and Jim Faulkner Grand Coulee McNary IceHarbor LittleGoose LowerGranite LowerMonumental Juvenile detectors Snake R. trap

452

A Thermohaline Inverse Method for Estimating Diathermohaline Circulation and Mixing  

Science Journals Connector (OSTI)

The thermohaline inverse method (THIM) is presented that provides estimates of the diathermohaline streamfunction , the downgradient along-isopycnal diffusion coefficient K, and the isotropic downgradient turbulent diffusion coefficient D of small-...

Sjoerd Groeskamp; Jan D. Zika; Bernadette M. Sloyan; Trevor J. McDougall; Peter C. McIntosh

2014-10-01T23:59:59.000Z

453

An artificial neural network for estimating haplotype frequencies  

Science Journals Connector (OSTI)

The problem of estimating haplotype frequencies from population data has been considered by numerous investigators, resulting in a wide variety of possible algorithmic and statistical solutions. We propose a rela...

Kevin C Cartier; Daniel Baechle

2005-12-01T23:59:59.000Z

454

Enhancement of satellite precipitation estimation via unsupervised dimensionality reduction  

SciTech Connect (OSTI)

A methodology to enhance Satellite Precipitation Estimation (SPE) using unsupervised dimensionality reduction (UDR) techniques is developed. This enhanced technique is an extension to the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network (PERSIANN) and Cloud Classification System (CCS) method (PERSIANN-CCS) enriched using wavelet features combined with dimensionality reduction. Cloud-top brightness temperature measurements from Geostationary Operational Environmental Satellite (GOES-12) are used for precipitation estimation at 4 km 4 km spatial resolutions every 30 min. The study area in the continental United States covers parts of Louisiana, Arkansas, Kansas, Tennessee, Mississippi, and Alabama. Based on quantitative measures, root mean square error (RMSE) and Heidke skill score (HSS), the results show that the UDR techniques can improve the precipitation estimation accuracy. In addition, ICA is shown to have better performance than other UDR techniques; and in some cases, it achieves 10% improvement in the HSS.

Mahrooghy, Majid [Mississippi State University (MSU); Younan, Nicolas H. [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Aanstoos, James [Mississippi State University (MSU)

2012-01-01T23:59:59.000Z

455

Investigating the validity of the Bosanquet formula for estimation...  

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

for estimation of diffusivities in mesopores Previous Next List Rajamani Krishna, Jasper M. van Baten, Chem. Eng. Sci., 69, 684-688 (2012) DOI: 10.1016j.ces.2011.11.026...

456

A New Shear Estimator for Weak Lensing Observations  

E-Print Network [OSTI]

We present a new shear estimator for weak lensing observations which properly accounts for the effects of a realistic point spread function (PSF). Images of faint galaxies are subject to gravitational shearing followed by smearing with the instrumental and/or atmospheric PSF. We construct a `finite resolution shear operator' which when applied to an observed image has the same effect as a gravitational shear applied prior to smearing. This operator allows one to calibrate essentially any shear estimator. We then specialize to the case of weighted second moment shear estimators. We compute the shear polarizability which gives the response of an individual galaxy's polarization to a gravitational shear. We then compute the response of the population of galaxies, and thereby construct an optimal weighting scheme for combining shear estimates from galaxies of various shapes, luminosities and sizes. We define a figure of merit --- an inverse shear variance per unit solid angle --- which characterizes the quality o...

Kaiser, N

1999-01-01T23:59:59.000Z

457

A Priori Error Estimates for Some Discontinuous Galerkin Immersed ...  

E-Print Network [OSTI]

estimate in a mesh-dependant energy norm is derived, and this error ... 0 (Th), integrate both sides on each element K ? Th, and apply the Green's formula to.

2015-01-12T23:59:59.000Z

458

Error estimation and adaptive mesh refinement for aerodynamic flows  

E-Print Network [OSTI]

Error estimation and adaptive mesh refinement for aerodynamic flows Ralf Hartmann1 and Paul Houston2 1 Institute of Aerodynamics and Flow Technology DLR (German Aerospace Center) Lilienthalplatz 7

Hartmann, Ralf

459

Seismic Fragility Analysis and Loss Estimation for Concrete Structures  

E-Print Network [OSTI]

The main objective of this study is to develop a methodology to assess seismic vulnerability of concrete structures and to estimate direct losses related to structural damage due to future seismic events. This dissertation contains several...

Bai, Jong Wha

2012-02-14T23:59:59.000Z

460

Seismic fragility estimates for reinforced concrete framed buildings  

E-Print Network [OSTI]

of the GLD RC frame buildings, the columns of the 2 and 3 story buildings are retrofitted by column strengthening. Fragility estimates developed for the retrofitted buildings show the effectiveness of the retrofit technique by the improved seismic performance...

Ramamoorthy, Sathish Kumar

2007-04-25T23:59:59.000Z

Note: This page contains sample records for the topic "low-end estimate usd" 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

EM algorithm estimation of TCM scheme over multipath fading  

E-Print Network [OSTI]

The performance of Trellis Coded Modulation scheme via Expectation-Maximization algorithm utilizing a Kalman filter over multipath fading is presented. EM algorithm offers an easier computation than the classical ML estimation does. To get a better...

Gunawan, Wiedy

2012-06-07T23:59:59.000Z

462

Odometer Versus Self-Reported Estimates of Vehicle Miles Traveled  

Reports and Publications (EIA)

The findings described here compare odometer readings with self-reported estimates of Vehicle Miles Traveled (VMT) to investigate to what extent self-reported VMT is a reliable surrogate for odometer-based VMT.

2000-01-01T23:59:59.000Z

463

Stochastic Estimation of Multi-Variable Human Ankle Mechanical Impedance  

E-Print Network [OSTI]

This article presents preliminary stochastic estimates of the multi-variable human ankle mechanical impedance. We employed Anklebot, a rehabilitation robot for the ankle, to provide torque perturbations. Time histories of ...

Rastgaar Aagaah, Mohammad

464

Nonlinear filtering for narrow-band time delay estimation  

E-Print Network [OSTI]

This thesis presents a method for improving passive acoustic tracking. A large family of acoustic tracking systems combine estimates of the time difference of arrival (TDoA) between pairs of spatially separated sensors - ...

Tobenkin, Mark M

2009-01-01T23:59:59.000Z

465

Preliminary relative permeability estimates of methanehydrate-bearing sand  

SciTech Connect (OSTI)

The relative permeability to fluids in hydrate-bearing sediments is an important parameter for predicting natural gas production from gas hydrate reservoirs. We estimated the relative permeability parameters (van Genuchten alpha and m) in a hydrate-bearing sand by means of inverse modeling, which involved matching water saturation predictions with observations from a controlled waterflood experiment. We used x-ray computed tomography (CT) scanning to determine both the porosity and the hydrate and aqueous phase saturation distributions in the samples. X-ray CT images showed that hydrate and aqueous phase saturations are non-uniform, and that water flow focuses in regions of lower hydrate saturation. The relative permeability parameters were estimated at two locations in each sample. Differences between the estimated parameter sets at the two locations were attributed to heterogeneity in the hydrate saturation. Better estimates of the relative permeability parameters require further refinement of the experimental design, and better description of heterogeneity in the numerical inversions.

Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.

2006-05-08T23:59:59.000Z

466

Preliminary relative permeability estimates of methanehydrate-bearing sand  

SciTech Connect (OSTI)

The relative permeability to fluids in hydrate-bearingsediments is an important parameter for predicting natural gas productionfrom gas hydrate reservoirs. We estimated the relative permeabilityparameters (van Genuchten alpha and m) in a hydrate-bearing sand by meansof inverse modeling, which involved matching water saturation predictionswith observations from a controlled waterflood experiment. We used x-raycomputed tomography (CT) scanning to determine both the porosity and thehydrate and aqueous phase saturation distributions in the samples. X-rayCT images showed that hydrate and aqueous phase saturations arenon-uniform, and that water flow focuses in regions of lower hydratesaturation. The relative permeability parameters were estimated at twolocations in each sample. Differences between the estimated parametersets at the two locations were attributed to heterogeneity in the hydratesaturation. Better estimates of the relative permeability parametersrequire further refinement of the experimental design, and betterdescription of heterogeneity in the numerical inversions.

Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.

2006-05-08T23:59:59.000Z

467

Production and analysis of a Southern Ocean state estimate  

E-Print Network [OSTI]

A modern general circulation model of the Southern Ocean with one-sixth of a degree resolution is optimized to the observed ocean in a weighted least squares sense. Convergence toward the state estimate solution is carried ...

Mazloff, Matthew R

2006-01-01T23:59:59.000Z

468

ESTIMATING DETECTION PROBABILITY PARAMETERS FOR PLETHODON SALAMANDERS USING THE ROBUST  

E-Print Network [OSTI]

ESTIMATING DETECTION PROBABILITY PARAMETERS FOR PLETHODON SALAMANDERS USING THE ROBUST CAPTURE 7617, Raleigh, NC 27695-7617, USA KENNETH H. POLLOCK, Department of Statistics, Biomathematics monitoring programs. Two sources of variation, spatial variation and variation in detection probability, make

Simons, Theodore R.

469

Non-local crime density estimation incorporating housing information  

Science Journals Connector (OSTI)

...BW . 1986 Density estimation for statistics and data analysis, Monographs on Statistics and Applied Probability, vol. 26. London, UK: Chapman...Regression. Springer Series in Statistics Berlin, Germany: Springer. 4 Wilson...

2014-01-01T23:59:59.000Z

470

Nonlinear bayesian filtering with applications to estimation and navigation  

E-Print Network [OSTI]

In principle, general approaches to optimal nonlinear filtering can be described in a unified way from the recursive Bayesian approach. The central idea to this recur- sive Bayesian estimation is to determine the probability density function...

Lee, Deok-Jin

2005-08-29T23:59:59.000Z

471

Spatial correlation structure estimation using geophysical and hydrogeological data  

E-Print Network [OSTI]

Spatial correlation structure estimation using geophysical and hydrogeological data Susan S investigate the use of tomographic geophysical data in combination with hydrogeological data in the spatial of data having different support scales and spatial sampling windows was facilitated. Comparison

Hubbard, Susan

472

3D pose estimation and segmentation using specular cues  

E-Print Network [OSTI]

We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection and (b) specular flow as cues, which are ...

Raskar, Ramesh

473

Estimation of Regional Actual Evapotranspiration in the Panama Canal Watershed  

Science Journals Connector (OSTI)

The upper Río Chagres basin is a part of the Panama Canal Watershed. The least known water balance...SEBAL...). We use an image from March 27, 2000, for estimation of the distribution of the regional actual evapo...

Jan M.H. Hendrickx; Wim G.M. Bastiaanssen; Edwin J.M. Noordman…

2005-01-01T23:59:59.000Z

474

Active Estimation of Object Dynamics Parameters with Tactile Sensors   

E-Print Network [OSTI]

The estimation of parameters that affect the dynamics of objects—such as viscosity or internal degrees of freedom—is an important step in autonomous and dexterous robotic manipulation of objects. However, accurate and ...

Saal, Hannes; Ting, Jo-Anne; Vijayakumar, Sethu

2010-01-01T23:59:59.000Z

475

Thickness Estimation with Optical Coherence Tomography and Statistical Decision Theory  

Science Journals Connector (OSTI)

We implement a maximum-likelihood (ML) estimator to interpret Optical Coherence Tomography (OCT) data, based on a Fourier-Domain OCT and a two-interface tear film model. We use the...

Huang, Jinxin; Clarkson, Eric; Kupinski, Matthew; Rolland, Jannick P

476

Multiple phase estimation for arbitrary pure states under white noise  

E-Print Network [OSTI]

In any realistic quantum metrology scenarios, the ultimate precision in the estimation of parameters is limited not only by the so-called Heisenberg scaling, but also the environmental noise encountered by the underlying system. In the context of quantum estimation theory, it is of great significance to carefully evaluate the impact of a specific type of noise on the corresponding quantum Fisher information (QFI) or quantum Fisher information matrix (QFIM). Here we investigate the multiple phase estimation problem for a natural parametrization of arbitrary pure states under white noise. We obtain the explicit expression of the symmetric logarithmic derivative (SLD) and hence the analytical formula of QFIM. Moreover, the attainability of the quantum Cram\\'{e}r-Rao bound (QCRB) is confirmed by the commutability of SLDs and the optimal estimators are elucidated for the experimental purpose. These findings generalize previously known partial results and highlight the role of white noise in quantum metrology.

Yao Yao; Li Ge; Xing Xiao; Xiaoguang Wang; C. P. Sun

2014-09-08T23:59:59.000Z

477

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network [OSTI]

Change Scenarios and Sea Level Rise Estimates for theThe puzzle of global sea-level rise. ” Physics Today 55 (3):2009. The Impacts of Sea-Level Rise on the California Coast.

Sathaye, Jayant

2011-01-01T23:59:59.000Z

478

An Estimate of Biofilm Properties using an Acoustic Microscope  

SciTech Connect (OSTI)

Noninvasive measurements over a biofilm, a three-dimensional community of microorganisms immobilized at a substratum, were made using an acoustic microscope operating at frequencies up to 70 MHz. Spatial variation of surface heterogeneity, thickness, interior structure, and biomass of a living biofilm was estimated over a 2.5-mm by 2.5-mm region. Ultrasound based estimates of thickness were corroborated using optical microscopy and the nominal biofilm thickness was 100 microns. Experimental data showed that the acoustic microscope combined with signal processing was capable of imaging and making quantitative estimates of the spatial distribution of biomass within the biofilm. The revealed surface topology and interior structure of the biofilm provide data for use in advanced biofilm mass transport models. The experimental acoustic and optical systems, methods to estimate of biofilm properties and potential applications for the resulting data are discussed.

Good, Morris S.; Wend, Christopher F.; Bond, Leonard J.; Mclean, Jeffrey S.; Panetta, Paul D.; Ahmed, Salahuddin; Crawford, Susan L.; Daly, Don S.

2006-09-01T23:59:59.000Z

479

Estimating the Atmospheric Water Vapor Content from Sun Photometer Measurements  

Science Journals Connector (OSTI)

The differential absorption technique for estimating columnar water vapor values from the analysis of sunphotometric measurements with wide- and narrowband interferential filters centered near 0.94 ?m is discussed and adapted. Water vapor line ...

Artemio Plana-Fattori; Michel Legrand; Didier Tanré; Claude Devaux; Anne Vermeulen; Philippe Dubuisson

1998-08-01T23:59:59.000Z

480

Lane estimation for autonomous vehicles using vision and LIDAR  

E-Print Network [OSTI]

Autonomous ground vehicles, or self-driving cars, require a high level of situational awareness in order to operate safely and eciently in real-world conditions. A system able to quickly and reliably estimate the location ...

Huang, Albert Shuyu

2010-01-01T23:59:59.000Z

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481

Estimation of GMRFs by Recursive Cavity Jason K. Johnson  

E-Print Network [OSTI]

Estimation of GMRFs by Recursive Cavity Modeling by Jason K. Johnson Submitted to the Department by Recursive Cavity Modeling by Jason K. Johnson Submitted to the Department of Electrical Engineering

Willsky, Alan S.

482

INCREMENTAL LEARNING OF NDE SIGNALS WITH CONFIDENCE ESTIMATION  

E-Print Network [OSTI]

INCREMENTAL LEARNING OF NDE SIGNALS WITH CONFIDENCE ESTIMATION Robi Polikar Department evaluation (NDE) applications resort to pattern recognition and machine learning algorithms for automated classification and characterization of NDE signals. Applications of such systems include defect identification

Polikar, Robi

483

DEVELOPING CORRIDOR-LEVEL TRUCK TRAVEL TIME ESTIMATES AND OTHER  

E-Print Network [OSTI]

by comparing estimated travel times during a winter weather-induced delay. The analysis showed that corridor given on increased sensor spacing and filter improvement. Finally, potential performance metrics

Bertini, Robert L.

484

Global Estimates Of Acute Pesticide Morbidity And Mortality  

Science Journals Connector (OSTI)

Mathematical models have been used to advance at least eight global estimates of morbidity and mortality from pesticide poisoning since 1973 (Bull 1982; Copplestone 1977; Forget 1991; Jeyaratnam 1985, 1990; Le...

Robert S. Levine; John Doull

1992-01-01T23:59:59.000Z

485

Modeling, estimation, and control of robot-soil interactions  

E-Print Network [OSTI]

This thesis presents the development of hardware, theory, and experimental methods to enable a robotic manipulator arm to interact with soils and estimate soil properties from interaction forces. Unlike the majority of ...

Hong, Won, 1971-

2001-01-01T23:59:59.000Z

486

Deriving Atmospheric Density Estimates Using Satellite Precision Orbit Ephemerides  

E-Print Network [OSTI]

Model regardless of solar and geomagnetic activity levels. The POE density estimates were obtained with the desired accuracy for a ±10% variation in the ballistic coefficient used to initialize the process. Fit span length showed little influence...

Hiatt, Andrew Timothy

2009-01-01T23:59:59.000Z

487

Applications of the Bayesian approach for experimentation and estimation  

E-Print Network [OSTI]

A Bayesian framework for systematic data collection and parameter estimation is proposed to aid experimentalists in effectively generating and interpreting data. The four stages of the Bayesian framework are: system ...

De Man, Patrick A. P. (Patrick Antonius Petrus)

2006-01-01T23:59:59.000Z

488

Statistical dependence estimation for object interaction and matching  

E-Print Network [OSTI]

This dissertation shows how statistical dependence estimation underlies two key problems in visual surveillance and wide-area tracking. The first problem is to detect and describe interactions between moving objects. The ...

Tieu, Kinh H. (Kinh Han), 1976-

2006-01-01T23:59:59.000Z

489

Estimating the Value of Electricity Storage Resources in Electricity  

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

Estimating the Value of Electricity Storage Resources in Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The purpose of this report is to assist the U.S. Department of Energy (DOE) in 1) establishing a framework for understanding the role electricity storage resources (storage) can play in wholesale and retail electricity markets, 2) assessing the value of electricity storage in a variety of regions or markets, 3) analyzing current and potential issues that can affect the valuation of storage by investors at the wholesale and retail level, and 4) identifying areas for future research and development for electricity storage technologies and applications. EAC - Estimating the Value of Electricity Storage Resources in Electricity

490

Estimating the Payback Period of Additional Insulation | Department of  

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

Estimating the Payback Period of Additional Insulation Estimating the Payback Period of Additional Insulation Estimating the Payback Period of Additional Insulation June 24, 2012 - 1:17pm Addthis Adding insulation in the attic of an existing home often results in a favorable payback. | Photo courtesy of Lieko Earle, NREL PIX 19612. Adding insulation in the attic of an existing home often results in a favorable payback. | Photo courtesy of Lieko Earle, NREL PIX 19612. What does this mean for me? Even if you hire a contractor to do the work, adding insulation to your home will likely have an attractive payback. If you can gather the information and plug it into an equation, you can determine the payback of adding insulation to your home. Use the equation below to estimate the cost effectiveness of adding insulation in terms of the "years to payback" for savings in heating costs.

491

Estimate Greenhouse Gas Emissions by Building Type | Department of Energy  

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

Estimate Greenhouse Gas Emissions by Building Type Estimate Greenhouse Gas Emissions by Building Type Estimate Greenhouse Gas Emissions by Building Type October 7, 2013 - 10:51am Addthis YOU ARE HERE Step 2 Starting with the programs contributing the greatest proportion of building greenhouse gas (GHG) emissions, the agency should next determine which building types operated by those programs use the most energy (Figure 1). Energy intensity is evaluated instead of emissions in this approach because programs may not have access to emissions data by building type. Figure 1 - An image of an organizational-type chart. A rectangle labeled 'Program 1' has lines pointing to three other rectangles below it labeled 'Building Type 1,' 'Building Type 2,' and 'Building Type 3.' Next to the building types it says, 'Step 2. Estimate emissions by building type.

492

Estimating Internal Wave Energy Fluxes in the Ocean  

Science Journals Connector (OSTI)

Energy flux is a fundamental quantity for understanding internal wave generation, propagation, and dissipation. In this paper, the estimation of internal wave energy fluxes ?u?p?? from ocean observations that may be sparse in either time or depth ...

Jonathan D. Nash; Matthew H. Alford; Eric Kunze

2005-10-01T23:59:59.000Z

493

Using doppler radar images to estimate aircraft navigational heading error  

DOE Patents [OSTI]

A yaw angle error of a motion measurement system carried on an aircraft for navigation is estimated from Doppler radar images captured using the aircraft. At least two radar pulses aimed at respectively different physical locations in a targeted area are transmitted from a radar antenna carried on the aircraft. At least two Doppler radar images that respectively correspond to the at least two transmitted radar pulses are produced. These images are used to produce an estimate of the yaw angle error.

Doerry, Armin W. (Albuquerque, NM); Jordan, Jay D. (Albuquerque, NM); Kim, Theodore J. (Albuquerque, NM)

2012-07-03T23:59:59.000Z

494

Estimate steam-turbine losses to justify maintenance funds  

SciTech Connect (OSTI)

A procedure to estimate steam-turbine losses is described. The estimates are based on analytical calculations and field inspections of turbines with known performance deterioration resulting from their environment, not their construction. They are, therefore, applicable to many types of steam turbines. Common causes of deterioration are the following: solid particle erosion, deposits, increased clearances, and peening or damage from foreign material. Performance losses due to these factors are analyzed. An example of application is given.

Not Available

1982-05-01T23:59:59.000Z

495

Orbit design and estimation for surveillance missions using genetic algorithms  

E-Print Network [OSTI]

ORBIT DESIGN AND ESTIMATION FOR SURVEILLANCE MISSIONS USING GENETIC ALGORITHMS A Dissertation by OSAMA MOHAMED OMAR ABDELKHALIK Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of DOCTOR OF PHILOSOPHY December 2005 Major Subject: Aerospace Engineering ORBIT DESIGN AND ESTIMATION FOR SURVEILLANCE MISSIONS USING GENETIC ALGORITHMS A Dissertation by OSAMA MOHAMED OMAR ABDELKHALIK Submitted to the Office of Graduate Studies...

Abdelkhalik, Osama Mohamed Omar

2006-04-12T23:59:59.000Z

496

Further evaluation of dose estimation using the FBX dosimeter  

E-Print Network [OSTI]

Internal Radiation Dose (MIRD) methodology was developed by the Society of Nuclear Medicine in 1968 and subse- quently revised in 1973 (Lo76). This methodology is commonly accepted as a means of estimating dose to the body organs through exposure... Internal Radiation Dose (MIRD) methodology was developed by the Society of Nuclear Medicine in 1968 and subse- quently revised in 1973 (Lo76). This methodology is commonly accepted as a means of estimating dose to the body organs through exposure...

Helfinstine, Suzanne Yvette

2012-06-07T23:59:59.000Z

497

Kinetic parameter estimation using nonisothermal trickle-bed reactor data  

E-Print Network [OSTI]

KINETIC PARAMETER ESTIMATION USING NONISOTHERMAL TRICKLE-BED REACTOR DATA A Thesis by MICHAEL ALLEN MENSIK Submitted to the Graduate College of Texas ALM University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE May 1985 Major Subject: Chemical Engineering KINETIC PARAMETER ESTIMATION USING NONISOTHERMAL TRICKLE-BED REACTOR DATA A Thesis by MICHAEL ALLEN MENSIK Approved as to style and content by: A. ger n (Chairman of Comm ee) R. G. Antho...

Mensik, Michael Allen

2012-06-07T23:59:59.000Z

498

Estimating demolition cost of plutonium buildings for dummies  

SciTech Connect (OSTI)

The primary purpose of the Rocky Flats Field Office of the US Department of Energy is to decommission the entire plant. In an effort to improve the basis and the accuracy of the future decommissioning cost, Rocky Flats has developed a powerful but easy-to-use tool to determine budget cost estimates to characterize, decontaminate, and demolish all its buildings. The parametric cost-estimating tool is called the Facilities Disposition Cost Model (FDCM).

Tower, S.E.

2000-07-01T23:59:59.000Z

499

Estimators for models with constraints involving unknown parameters  

E-Print Network [OSTI]

- tor of real numbers. Such estimators have asymptotic variance P(f - c a)2 . If Paa is invertible, then by the Cauchy­Schwarz inequality the asymptotic variance is minimized for cf = (Paa )-1 Paf. The constant cf ^cf = ( ^Paa )-1 ^Paf = n i=1 a(Xi)a(Xi) -1 n i=1 a(Xi)f(Xi). The resulting estimator ^P(f -^cf a) has

Wefelmeyer, Wolfgang

500

2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

Status Report - Savings Estimates for the ENERGY STAR Voluntary Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Date Published 11/2007 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2008) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR includes more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2007, what we expect in 2008, and provide savings forecasts for the periods 2008 to 2015 and 2008 to 2025. The forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic ENERGY STAR unit sales for each of the products.