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Note: This page contains sample records for the topic "average energy capacity" 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.


1

Achronal averaged null energy condition  

Science Conference Proceedings (OSTI)

The averaged null energy condition (ANEC) requires that the integral over a complete null geodesic of the stress-energy tensor projected onto the geodesic tangent vector is never negative. This condition is sufficient to prove many important theorems in general relativity, but it is violated by quantum fields in curved spacetime. However there is a weaker condition, which is free of known violations, requiring only that there is no self-consistent spacetime in semiclassical gravity in which ANEC is violated on a complete, achronal null geodesic. We indicate why such a condition might be expected to hold and show that it is sufficient to rule out closed timelike curves and wormholes connecting different asymptotically flat regions.

Graham, Noah; Olum, Ken D. [Department of Physics, Middlebury College, Middlebury, Vermont 05753 (United States) and Center for Theoretical Physics, Laboratory for Nuclear Science, and Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

2007-09-15T23:59:59.000Z

2

Achronal averaged null energy condition  

E-Print Network (OSTI)

The averaged null energy condition (ANEC) requires that the integral over a complete null geodesic of the stress-energy tensor projected onto the geodesic tangent vector is never negative. This condition is sufficient to prove many important theorems in general relativity, but it is violated by quantum fields in curved spacetime. However there is a weaker condition, which is free of known violations, requiring only that there is no self-consistent space-time in semiclassical gravity in which ANEC is violated on a complete, {\\em achronal} null geodesic. We indicate why such a condition might be expected to hold and show that it is sufficient to rule out wormholes and closed timelike curves.

Noah Graham; Ken D. Olum

2007-05-22T23:59:59.000Z

3

EIA Average Energy Consumption 2005  

U.S. Energy Information Administration (EIA)

Table US8. Average Consumption by Fuels Used, 2005 Physical Units per Household Fuels Used (physical units of consumption per household using the fuel)

4

NREL: Energy Analysis - Utility-Scale Energy Technology Capacity Factors  

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

Utility-Scale Energy Technology Capacity Factors Utility-Scale Energy Technology Capacity Factors This chart indicates the range of recent capacity factor estimates for utility-scale renewable energy technologies. The dots indicate the average, and the vertical lines represent the range: Average +1 standard deviation and average -1 standard deviation. If you are seeking utility-scale technology cost and performance estimates, please visit the Transparent Cost Database website for NREL's information regarding vehicles, biofuels, and electricity generation. Capital Cost (September 2013 Update) Operations & Maintenance (September 2013 Update) Utility-Scale Capacity Factors Useful Life Land Use by System Technology LCOE Calculator Capacity factor for energy technologies. For more information, please download supporting data for energy technology costs.

5

Impact Ionization Model Using Average Energy and Average Square Energy of Distribution Function  

E-Print Network (OSTI)

Impact Ionization Model Using Average Energy and Average Square Energy of Distribution Function Ken relaxation length, v sat ø h''i (¸ 0:05¯m), the energy distribution function is not well described calculation of impact ionization coefficient requires the use of a high energy distribution function because

Dunham, Scott

6

Worldwide Energy Efficiency Action through Capacity Building...  

Open Energy Info (EERE)

Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT) Jump to: navigation, search Logo: Worldwide Energy Efficiency Action through Capacity Building and...

7

EIA Renewable Energy- Average Energy Conversion Efficiency of ...  

U.S. Energy Information Administration (EIA)

Renewables and Alternate Fuels > Solar Photovoltaic Cell/Module Annual Report > Annual Shipments of Photovoltaic Cells and Modules by Source: Average Energy ...

8

High Capacity Hydrogen Storage Nanocomposite - Energy ...  

Energy Storage Advanced Materials High Capacity Hydrogen Storage Nanocomposite Processes to add metal hydrideds to nanocarbon structures to yield high capacity ...

9

Property:SalinityAverage | Open Energy Information  

Open Energy Info (EERE)

SalinityAverage SalinityAverage Jump to: navigation, search Property Name SalinityAverage Property Type Number Description Mean average of the low and high end measurements of the salinity [ppm] of the fluid. This is a property of type Page. Subproperties This property has the following 1 subproperty: C Coso Geothermal Area Pages using the property "SalinityAverage" Showing 19 pages using this property. A Amedee Geothermal Area + 975 + B Beowawe Hot Springs Geothermal Area + 700 + Blue Mountain Geothermal Area + 4300 + Brady Hot Springs Geothermal Area + 3500 + C Chena Geothermal Area + 325 + D Desert Peak Geothermal Area + 6700 + Dixie Valley Geothermal Area + 2295 + E East Mesa Geothermal Area + 3750 + G Geysers Geothermal Area + 217 + K Kilauea East Rift Geothermal Area + 18750 +

10

Refinery Capacity Report - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration (U.S. Dept. of Energy) ... Tables: 1: Number and Capacity of Operable Petroleum Refineries by PAD District and State as of ...

11

DOE Transmission Capacity Report | Department of Energy  

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

Transmission Capacity Report Transmission Capacity Report DOE Transmission Capacity Report DOE Transmission Capacity Report: Transmission lines, substations, circuit breakers, capacitors, and other equipment provide more than just a highway to deliver energy and power from generating units to distribution systems. Transmission systems both complement and substitute for generation. Transmission generally enhances reliability; lowers the cost of electricity delivered to consumers; limits the ability of generators to exercise market power; and provides flexibility to protect against uncertainties about future fuel prices, load growth, generator construction, and other factors affecting the electric system. DOE Transmission Capacity Report More Documents & Publications Report to Congress:Impacts of the Federal Energy Regulatory Commission's

12

Information Capacity of Energy Harvesting Sensor Nodes  

E-Print Network (OSTI)

Sensor nodes with energy harvesting sources are gaining popularity due to their ability to improve the network life time and are becoming a preferred choice supporting 'green communication'. We study such a sensor node with an energy harvesting source and compare various architectures by which the harvested energy is used. We find its Shannon capacity when it is transmitting its observations over an AWGN channel and show that the capacity achieving energy management policy is the same as the throughput optimal policy. We also obtain the capacity for the system with energy inefficiencies in storage and an achievable rate when energy conserving sleep-wake modes are supported.

Rajesh, R

2010-01-01T23:59:59.000Z

13

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

Class of Ownership, Number of Consumers, Sales, Revenue, and Average Retail Price for Power Marketers and Energy Service Providers by State: T12:

14

renewable energy generating capacity | OpenEI  

Open Energy Info (EERE)

energy generating capacity energy generating capacity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 16, and contains only the reference case. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO generation renewable energy renewable energy generating capacity Data application/vnd.ms-excel icon AEO2011: Renewable Energy Generating Capacity and Generation- Reference Case (xls, 118.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata

15

Property:InstalledCapacity | Open Energy Information  

Open Energy Info (EERE)

InstalledCapacity InstalledCapacity Jump to: navigation, search Property Name InstalledCapacity Property Type Quantity Description Installed Capacity (MW) or also known as Total Generator Nameplate Capacity (Rated Power) Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

16

Property:MeanCapacity | Open Energy Information  

Open Energy Info (EERE)

MeanCapacity MeanCapacity Jump to: navigation, search Property Name MeanCapacity Property Type Quantity Description Mean capacity potential at location based on the USGS 2008 Geothermal Resource Assessment if the United States Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

17

Installed Geothermal Capacity | Open Energy Information  

Open Energy Info (EERE)

Geothermal Capacity Geothermal Capacity Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Installed Geothermal Capacity International Market Map of U.S. Geothermal Power Plants List of U.S. Geothermal Power Plants Throughout the world geothermal energy is looked at as a potential source of renewable base-load power. As of 2005 there was 8,933 MW of installed power capacity within 24 countries. The International Geothermal Association (IGA) reported 55,709 GWh per year of geothermal electricity. The generation from 2005 to 2010 increased to 67,246 GWh, representing a 20% increase in the 5 year period. The IGA has projected that by 2015 the new installed capacity will reach 18,500 MW, nearly 10,000 MW greater than 2005. [1] Countries with the greatest increase in installed capacity (MW) between

18

Property:PlannedCapacity | Open Energy Information  

Open Energy Info (EERE)

PlannedCapacity PlannedCapacity Jump to: navigation, search Property Name PlannedCapacity Property Type Quantity Description The total planned capacity for a given area, region or project. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

19

Definition: Nameplate Capacity | Open Energy Information  

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon » Definition: Nameplate Capacity Jump to: navigation, search Dictionary.png Nameplate Capacity The maximum amount of electric energy that a generator can produce under specific conditions, as rated by the manufacturer. Generator nameplate capacity is expressed in some multiple of watts such as megawatts (MW), as indicated on a nameplate that is physically attached to the generator.[1] View on Wikipedia Wikipedia Definition Also Known As Capacity Related Terms electricity generation, power References ↑ http://www.nrc.gov/reading-rm/basic-ref/glossary/generator-nameplate-capacity.html Retr LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ieved from "http://en.openei.org/w/index.php?title=Definition:Nameplate_Capacity&oldid=480378"

20

Property:Capacity | Open Energy Information  

Open Energy Info (EERE)

Capacity Capacity Jump to: navigation, search Property Name Capacity Property Type Quantity Description Potential electric energy generation, default units of megawatts. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

Note: This page contains sample records for the topic "average energy capacity" 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

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

2001-2010 are Excel zipped files & 1994-2000 are PDF files ... and Average Retail Price for Power Marketers and ... U.S. Department of Energy USA.gov FedStats.

22

Planned Geothermal Capacity | Open Energy Information  

Open Energy Info (EERE)

Planned Geothermal Capacity Planned Geothermal Capacity Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Planned Geothermal Capacity This article is a stub. You can help OpenEI by expanding it. General List of Development Projects Map of Development Projects Planned Geothermal Capacity in the U.S. is reported by the Geothermal Energy Association via their Annual U.S. Geothermal Power Production and Development Report (April 2011). Related Pages: GEA Development Phases Geothermal Development Projects Add.png Add a new Geothermal Project Please be sure the project does not already exist in the list below before adding - perhaps under a different name. Technique Developer Phase Project Type Capacity Estimate (MW) Location Geothermal Area Geothermal Region GEA Report

23

Property:GeneratingCapacity | Open Energy Information  

Open Energy Info (EERE)

GeneratingCapacity GeneratingCapacity Jump to: navigation, search Property Name GeneratingCapacity Property Type Quantity Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

24

Africa - CCS capacity building | Open Energy Information  

Open Energy Info (EERE)

Africa - CCS capacity building Africa - CCS capacity building Jump to: navigation, search Name Africa - CCS capacity building Agency/Company /Organization Energy Research Centre of the Netherlands Partner EECG Consultants, the University of Maputo, the Desert Research Foundation Namibia and the South Africa New Energy Research Institute Sector Energy Focus Area Conventional Energy Resource Type Training materials Website http://www.ccs-africa.org/ Program Start 2010 Program End 2011 Country Botswana, Mozambique, Namibia UN Region "Sub-Saharan Africa" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

25

Indonesia-ECN Capacity building for energy policy formulation...  

Open Energy Info (EERE)

ECN Capacity building for energy policy formulation and implementation of sustainable energy projects Jump to: navigation, search Name CASINDO: Capacity development and...

26

Solar Energy and Capacity Value (Fact Sheet), NREL (National...  

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

Solar Energy and Capacity Value e Solar Energy Can Provide Valuable Capacity to Utilities and Power System Operators Solar photovoltaic (PV) systems and concentrating solar power...

27

Capacity and Energy Payments to Small Power Producers and Cogenerators...  

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

Capacity and Energy Payments to Small Power Producers and Cogenerators Under PURPA Docket (Georgia) Capacity and Energy Payments to Small Power Producers and Cogenerators Under...

28

Partial energies fluctuations and negative heat capacities  

E-Print Network (OSTI)

We proceed to a critical examination of the method used in nuclear fragmentation to exhibit signals of negative heat capacity. We show that this method leads to unsatisfactory results when applied to a simple and well controlled model. Discrepancies are due to incomplete evaluation of potential energies.

Xavier Campi; H. Krivine; E. Plagnol; N. Sator

2004-06-16T23:59:59.000Z

29

Partial energies fluctuations and negative heat capacities  

E-Print Network (OSTI)

We proceed to a critical examination of the method used in nuclear fragmentation to exhibit signals of negative heat capacity. We show that this method leads to unsatisfactory results when applied to a simple and well controlled model. Discrepancies are due to incomplete evaluation of potential energies.

Campi, X; Plagnol, E; Campi, Xavier; ccsd-00002099, ccsd

2004-01-01T23:59:59.000Z

30

AMPERE AVERAGE CURRENT PHOTOINJECTOR AND ENERGY RECOVERY LINAC.  

SciTech Connect

High-power Free-Electron Lasers were made possible by advances in superconducting linac operated in an energy-recovery mode. In order to get to much higher power levels, say a fraction of a megawatt average power, many technological barriers are yet to be broken. We describe work on CW, high-current and high-brightness electron beams. This will include a description of a superconducting, laser-photocathode RF gun employing a new secondary-emission multiplying cathode, an accelerator cavity, both capable of producing of the order of one ampere average current and plans for an ERL based on these units.

BEN-ZVI,I.; BURRILL,A.; CALAGA,R.; ET AL.

2004-08-17T23:59:59.000Z

31

Definition: Capacity Emergency | Open Energy Information  

Open Energy Info (EERE)

Emergency Jump to: navigation, search Dictionary.png Capacity Emergency A capacity emergency exists when a Balancing Authority Area's operating capacity, plus firm purchases from...

32

Property:Cooling Capacity | Open Energy Information  

Open Energy Info (EERE)

Capacity Jump to: navigation, search This is a property of type Number. Pages using the property "Cooling Capacity" Showing 2 pages using this property. D Distributed Generation...

33

AEO2011: Renewable Energy Generating Capacity and Generation | OpenEI  

Open Energy Info (EERE)

electric power capacity and generation. electric power capacity and generation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Renewable energy capacity and generation Data application/vnd.ms-excel icon AEO2011: Renewable Energy Generating Capacity and Generation- Reference Case (xls, 118.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating.

34

Worldwide Energy Efficiency Action through Capacity Building and Training  

Open Energy Info (EERE)

Worldwide Energy Efficiency Action through Capacity Building and Training Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT) Jump to: navigation, search Logo: Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT) Name Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT) Agency/Company /Organization National Renewable Energy Laboratory, The International Partnership for Energy Efficiency Cooperation Sector Energy Focus Area Energy Efficiency Topics Background analysis Resource Type Training materials Website http://www.nrel.gov/ce/ipeec/w Country Mexico, India UN Region Northern America References Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT)[1] Abstract Included are training materials for the Worldwide Energy Efficiency Action through Capacity Building & Training (WEACT) Workshop in Mexico City, 28-30 September 2010.

35

Plate with a hole obeys the averaged null energy condition  

SciTech Connect

The negative energy density of Casimir systems appears to violate general relativity energy conditions. However, one cannot test the averaged null energy condition (ANEC) using standard calculations for perfectly reflecting plates, because the null geodesic would have to pass through the plates, where the calculation breaks down. To avoid this problem, we compute the contribution to ANEC for a geodesic that passes through a hole in a single plate. We consider both Dirichlet and Neumann boundary conditions in two and three space dimensions. We use a Babinet's principle argument to reduce the problem to a complementary finite disk correction to the perfect mirror result, which we then compute using scattering theory in elliptical and spheroidal coordinates. In the Dirichlet case, we find that the positive correction due to the hole overwhelms the negative contribution of the infinite plate. In the Neumann case, where the infinite plate gives a positive contribution, the hole contribution is smaller in magnitude, so again ANEC is obeyed. These results can be extended to the case of two plates in the limits of large and small hole radii. This system thus provides another example of a situation where ANEC turns out to be obeyed when one might expect it to be violated.

Graham, Noah; Olum, Ken D. [Department of Physics, Middlebury College, Middlebury, Vermont 05753 (United States); Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

2005-07-15T23:59:59.000Z

36

Definition: Capacity Revenue | Open Energy Information  

Open Energy Info (EERE)

through the competitive capacity market for a capacity credit.1 References SmartGrid.gov 'Description of Benefits' An LikeLike UnlikeLike You like this.Sign Up to see...

37

LEDS Capacity Building and Training Inventory | Open Energy Information  

Open Energy Info (EERE)

LEDS Capacity Building and Training Inventory LEDS Capacity Building and Training Inventory Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve LEDS Capacity Building and Training Activities and Resources Upcoming Capacity Building Events CLEAN shares capacity building activity information to encourage technical institutions to better coordinate efforts and avoid duplication of effort. If you are aware of an upcoming LEDS-related training or capacity building event please add it to the calendar below. Add Capacity Building or Training Event Webinars Title Developer Biopower Tool Webinar National Renewable Energy Laboratory United States Department of Energy Centro de Energías Renovables (CER) CESC-Webinar: Building an Innovation and Entrepreneurship Driven Economy: How Policies Can Foster Risk Capital Investment in Renewable Energy Clean Energy Solutions Center

38

AEO2011: Renewable Energy Generating Capacity and Generation | OpenEI  

Open Energy Info (EERE)

generation of each renewable energy source. generation of each renewable energy source. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO generation renewable energy renewable energy generating capacity Data application/vnd.ms-excel icon AEO2011: Renewable Energy Generating Capacity and Generation- Reference Case (xls, 118.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

39

Definition: Deferred Generation Capacity Investments | Open Energy  

Open Energy Info (EERE)

Generation Capacity Investments Generation Capacity Investments Utilities and grid operators ensure that generation capacity can serve the maximum amount of load that planning and operations forecasts indicate. The trouble is, this capacity is only required for very short periods each year, when demand peaks. Reducing peak demand and flattening the load curve should reduce the generation capacity required to service load and lead to cheaper electricity for customers.[1] Related Terms load, electricity generation, peak demand, smart grid References ↑ SmartGrid.gov 'Description of Benefits' An inl LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ine Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Deferred_Generation_Capacity_Investments&oldid=50257

40

Share of Conversion Capacity - Energy Information Administration  

U.S. Energy Information Administration (EIA)

In the early to mid 1980s, Atlantic Basin refiners rapidly expanded their conversion capacity as a consequence of the belief that world crude production would get ...

Note: This page contains sample records for the topic "average energy capacity" 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

Solar Energy and Capacity Value (Fact Sheet)  

SciTech Connect

This is a one-page, two-sided fact sheet on the capacity of solar power to provide value to utilities and power system operators.

Not Available

2013-09-01T23:59:59.000Z

42

Electric Sales, Revenue, and Average Price 2011 - Energy Information...  

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

All Electricity Reports Electric Sales, Revenue, and Average Price With Data for 2011 | Release Date: September 27, 2012 | Next Release Date: September, 2013 Previous editions...

43

Today in Energy - Average wholesale natural gas prices mostly ...  

U.S. Energy Information Administration (EIA)

Average spot natural gas prices, which reflect the wholesale price of natural gas at major trading points, generally declined in most U.S. regional markets about 7% ...

44

EPA-GHG Inventory Capacity Building | Open Energy Information  

Open Energy Info (EERE)

EPA-GHG Inventory Capacity Building EPA-GHG Inventory Capacity Building Jump to: navigation, search Tool Summary Name: US EPA GHG inventory Capacity Building Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy, Land Topics: GHG inventory, Background analysis Resource Type: Training materials, Lessons learned/best practices References: US EPA GHG inventory Capacity Building[1] Logo: US EPA GHG inventory Capacity Building "Developing greenhouse gas inventories is an important first step to managing emissions. U.S. EPA's approach for building capacity to develop GHG inventories is based on the following lessons learned from working alongside developing country experts: Technical expertise for GHG inventories already exists in developing countries.

45

Definition: Deferred Distribution Capacity Investments | Open Energy  

Open Energy Info (EERE)

Deferred Distribution Capacity Investments Deferred Distribution Capacity Investments Jump to: navigation, search Dictionary.png Deferred Distribution Capacity Investments As with the transmission system, reducing the load and stress on distribution elements increases asset utilization and reduces the potential need for upgrades. Closer monitoring and load management on distribution feeders could potentially extend the time before upgrades or capacity additions are required.[1] Related Terms load, transmission lines, transmission line, sustainability References ↑ SmartGrid.gov 'Description of Benefits' An inl LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ine Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Deferred_Distribution_Capacity_Investments&oldid=502613

46

New Zealand Energy Data: Electricity Generating Capacity by Fuel...  

Open Energy Info (EERE)

of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity generating capacity datasets: annual...

47

Definition: Capacity factor | Open Energy Information  

Open Energy Info (EERE)

power)12 View on Wikipedia Wikipedia Definition The net capacity factor of a power plant is the ratio of its actual output over a period of time, to its potential output if...

48

Capacity Building Project with Howard University | Department of Energy  

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

Capacity Building Project with Howard University Capacity Building Project with Howard University Capacity Building Project with Howard University The purpose of this initiative is to build community capacity for public participation in environmental and energy decision making. The target communities are those impacted by U.S. Department of Energy (DOE) facilities and in Washington, DC, the DOE Headquarters host community. The primary focus is on environmental justice communities-low-income and minority communities. Capacity Building Project with Howard University More Documents & Publications National Conference of Black Mayors, Inc. Capacity Building Project with Howard University The State of Environmental Justice in America 2010 Conference Environmental Justice at the U.S. Department of Energy - A Decade of

49

UNDP-Low Emission Capacity Building Programme | Open Energy Information  

Open Energy Info (EERE)

Programme Programme Jump to: navigation, search Logo: UNDP-Low Emission Capacity Building Programme Name UNDP-Low Emission Capacity Building Programme Agency/Company /Organization United Nations Development Programme (UNDP), European Union Sector Climate, Energy, Land, Water Topics Low emission development planning Resource Type Training materials Website http://www.undp.org/climatestr References UNDP-Low Emission Capacity Building Programme[1] UNDP-Low Emission Capacity Building Programme Screenshot "This collaborative programme aims to strengthen technical and institutional capacities at the country level, while at the same time facilitating inclusion and coordination of the public and private sector in national initiatives addressing climate change. It does so by utilizing the

50

Definition: Capacity Benefit Margin | Open Energy Information  

Open Energy Info (EERE)

Benefit Margin Benefit Margin Jump to: navigation, search Dictionary.png Capacity Benefit Margin The amount of firm transmission transfer capability preserved by the transmission provider for Load- Serving Entities (LSEs), whose loads are located on that Transmission Service Provider's system, to enable access by the LSEs to generation from interconnected systems to meet generation reliability requirements. Preservation of CBM for an LSE allows that entity to reduce its installed generating capacity below that which may otherwise have been necessary without interconnections to meet its generation reliability requirements. The transmission transfer capability preserved as CBM is intended to be used by the LSE only in times of emergency generation deficiencies.[1] Related Terms

51

More recycling raises average energy content of waste used to ...  

U.S. Energy Information Administration (EIA)

Environment. Greenhouse gas data, voluntary report- ing, electric power plant emissions. Highlights Short-Term Energy Outlook ...

52

More recycling raises average energy content of waste used ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook ... Search EIA.gov. A-Z Index; ... concurrent with the increased recovery of biogenic materials before they enter the waste ...

53

EPA-GHG Inventory Capacity Building | Open Energy Information  

Open Energy Info (EERE)

EPA-GHG Inventory Capacity Building EPA-GHG Inventory Capacity Building (Redirected from US EPA GHG Inventory Capacity Building) Jump to: navigation, search Tool Summary Name: US EPA GHG inventory Capacity Building Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy, Land Topics: GHG inventory, Background analysis Resource Type: Training materials, Lessons learned/best practices References: US EPA GHG inventory Capacity Building[1] Logo: US EPA GHG inventory Capacity Building "Developing greenhouse gas inventories is an important first step to managing emissions. U.S. EPA's approach for building capacity to develop GHG inventories is based on the following lessons learned from working alongside developing country experts: Technical expertise for GHG inventories already exists in developing

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Spain Installed Wind Capacity Website | Open Energy Information  

Open Energy Info (EERE)

Spain Installed Wind Capacity Website Spain Installed Wind Capacity Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Spain Installed Wind Capacity Website Focus Area: Renewable Energy Topics: Market Analysis Website: www.gwec.net/index.php?id=131 Equivalent URI: cleanenergysolutions.org/content/spain-installed-wind-capacity-website Language: English Policies: Regulations Regulations: Feed-in Tariffs This website presents an overview of total installed wind energy capacity in Spain per year from 2000 to 2010. The page also presents the main market developments from 2010; a policy summary; a discussion of the revision in feed-in tariffs in 2010; and a future market outlook. References Retrieved from "http://en.openei.org/w/index.php?title=Spain_Installed_Wind_Capacity_Website&oldid=514562"

55

Capacity with energy constraint in coherent state channel  

E-Print Network (OSTI)

We consider two kind of energy constraints when the output state is a coherent state. One is a constraint on the total energy during a fixed period; the other is a constraint on the total energy for a single code. The first setting can be easily dealt with by using the conventional capacity formula. The second setting requires the general capacity formula for a classical-quantum channel.

Masahito Hayashi

2009-04-02T23:59:59.000Z

56

Property:GrossProdCapacity | Open Energy Information  

Open Energy Info (EERE)

GrossProdCapacity GrossProdCapacity Jump to: navigation, search Property Name GrossProdCapacity Property Type Quantity Description Sum of the property AvgAnnlGrossOpCpcty for all Energy Generation Facilities with properties: Sector: Geothermal Energy InGeothermalResourceArea: set to the the variable vName of the Geothermal Resource Area Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS

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Property:NetProdCapacity | Open Energy Information  

Open Energy Info (EERE)

NetProdCapacity NetProdCapacity Jump to: navigation, search Property Name NetProdCapacity Property Type Quantity Description Sum of the property SummerPeakNetCpcty for all Energy Generation Facilities with properties: Sector: Geothermal Energy InGeothermalResourceArea: set to the the variable vName of the Geothermal Resource Area Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS

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Renewable energy capacity and generation | OpenEI  

Open Energy Info (EERE)

21 21 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281521 Varnish cache server Renewable energy capacity and generation Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 16, and contains only the reference case. The dataset uses gigawatts. The data is broken down into electric power capacity and generation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Renewable energy capacity and generation Data application/vnd.ms-excel icon AEO2011: Renewable Energy Generating Capacity and Generation- Reference Case (xls, 118.9 KiB)

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Indonesia-ECN Capacity building for energy policy formulation and  

Open Energy Info (EERE)

ECN Capacity building for energy policy formulation and ECN Capacity building for energy policy formulation and implementation of sustainable energy projects Jump to: navigation, search Name CASINDO: Capacity development and strengthening for energy policy formulation and implementation of Sustainable energy projects in Indonesia Agency/Company /Organization Energy Research Centre of the Netherlands Sector Energy Focus Area Energy Efficiency Topics Policies/deployment programs Resource Type Software/modeling tools, Workshop, Publications, Guide/manual, Training materials Website http://www.ecn.nl/en/ Program Start 2009 Program End 2011 Country Indonesia South-Eastern Asia References ECN Policy Studies[1] CASINDO website[2] A key component of the political and economic reforms that are currently being implemented in Indonesia is the devolution of responsibilities for

60

Property:PotentialOnshoreWindCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialOnshoreWindCapacity PotentialOnshoreWindCapacity Jump to: navigation, search Property Name PotentialOnshoreWindCapacity Property Type Quantity Description The nameplate capacity technical potential from Onshore Wind for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

Note: This page contains sample records for the topic "average energy capacity" 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

Property:PotentialEGSGeothermalCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialEGSGeothermalCapacity PotentialEGSGeothermalCapacity Jump to: navigation, search Property Name PotentialEGSGeothermalCapacity Property Type Quantity Description The nameplate capacity technical potential from EGS Geothermal for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

62

Property:PotentialOffshoreWindCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialOffshoreWindCapacity PotentialOffshoreWindCapacity Jump to: navigation, search Property Name PotentialOffshoreWindCapacity Property Type Quantity Description The nameplate capacity technical potential from Offshore Wind for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

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Property:PotentialGeothermalHydrothermalCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialGeothermalHydrothermalCapacity PotentialGeothermalHydrothermalCapacity Jump to: navigation, search Property Name PotentialGeothermalHydrothermalCapacity Property Type Quantity Description The nameplate capacity technical potential from Geothermal Hydrothermal for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

64

Property:PotentialHydropowerCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialHydropowerCapacity PotentialHydropowerCapacity Jump to: navigation, search Property Name PotentialHydropowerCapacity Property Type Quantity Description The nameplate capacity technical potential from Hydropower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

65

Property:PotentialBiopowerGaseousCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerGaseousCapacity PotentialBiopowerGaseousCapacity Jump to: navigation, search Property Name PotentialBiopowerGaseousCapacity Property Type Quantity Description The nameplate capacity technical potential from gaseous biopower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

66

Property:PotentialBiopowerSolidCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerSolidCapacity PotentialBiopowerSolidCapacity Jump to: navigation, search Property Name PotentialBiopowerSolidCapacity Property Type Quantity Description The nameplate capacity technical potential from solid biopower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

67

GIZ-Best Practices in Capacity Building Approaches | Open Energy  

Open Energy Info (EERE)

GIZ-Best Practices in Capacity Building Approaches GIZ-Best Practices in Capacity Building Approaches Jump to: navigation, search Tool Summary LAUNCH TOOL Name: GIZ-Best Practices in Capacity Building Approaches: Recommendations for the Design of a Long -Term Capacity Building Strategy for the Wind and Solar Sectors by the MEF Working Group Agency/Company /Organization: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH Sector: Energy, Climate Focus Area: Solar, Wind Resource Type: Publications, Training materials, Lessons learned/best practices Website: prod-http-80-800498448.us-east-1.elb.amazonaws.com/w/images/8/80/Best_ Cost: Free GIZ-Best Practices in Capacity Building Approaches: Recommendations for the Design of a Long -Term Capacity Building Strategy for the Wind and Solar Sectors by the MEF Working Group Screenshot

68

Capacity and Energy Payments to Cogenerators Under PURPA Docket...  

Open Energy Info (EERE)

to PURPA. Avoided costs are the "incremental costs to an electric utility of electric energy or capacity or both which, but for the purchase from the qualifying facility or...

69

Average estimate for additive energy in prime field  

E-Print Network (OSTI)

Assume that $A\\subseteq \\Fp, B\\subseteq \\Fp^{*}$, $\\1/4\\leqslant\\frac{|B|}{|A|},$ $|A|=p^{\\alpha}, |B|=p^{\\beta}$. We will prove that for $p\\geqslant p_0(\\beta)$ one has $$\\sum_{b\\in B}E_{+}(A, bA)\\leqslant 15 p^{-\\frac{\\min\\{\\beta, 1-\\alpha\\}}{308}}|A|^3|B|.$$ Here $E_{+}(A, bA)$ is an additive energy between subset $A$ and it's multiplicative shift $bA$. This improves previously known estimates of this type.

Glibichuk, Alexey

2011-01-01T23:59:59.000Z

70

Underground Natural Gas Working Storage Capacity - Energy Information  

Gasoline and Diesel Fuel Update (EIA)

Underground Natural Gas Working Storage Capacity Underground Natural Gas Working Storage Capacity With Data for November 2012 | Release Date: July 24, 2013 | Next Release Date: Spring 2014 Previous Issues Year: 2013 2012 2011 2010 2009 2008 2007 2006 Go Overview Natural gas working storage capacity increased by about 2 percent in the Lower 48 states between November 2011 and November 2012. The U.S. Energy Information Administration (EIA) has two measures of working gas storage capacity, and both increased by similar amounts: Demonstrated maximum volume increased 1.8 percent to 4,265 billion cubic feet (Bcf) Design capacity increased 2.0 percent to 4,575 Bcf Maximum demonstrated working gas volume is an operational measure of the highest level of working gas reported at each storage facility at any time

71

Building MRV Standards and Capacity in Key Countries | Open Energy  

Open Energy Info (EERE)

MRV Standards and Capacity in Key Countries MRV Standards and Capacity in Key Countries Jump to: navigation, search Name Building MRV Standards and Capacity in Key Countries Agency/Company /Organization World Resources Institute (WRI) Sector Climate Focus Area Renewable Energy Topics Implementation Website http://www.wri.org/topics/mrv Program Start 2011 Program End 2014 Country Brazil, Colombia, Ethiopia, India, South Africa, Thailand South America, South America, Eastern Africa, Southern Asia, Southern Africa, South-Eastern Asia References World Resources Institute (WRI)[1] Program Overview Developing countries will be required to measure, report, and verify (MRV) mitigation actions according to international guidelines, but few have the capacity to do so. The goal of this project is to build the capacity of a

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Property:Project Installed Capacity (MW) | Open Energy Information  

Open Energy Info (EERE)

Installed Capacity (MW) Installed Capacity (MW) Jump to: navigation, search Property Name Project Installed Capacity (MW) Property Type String Pages using the property "Project Installed Capacity (MW)" Showing 25 pages using this property. (previous 25) (next 25) M MHK Projects/40MW Lewis project + 0 + MHK Projects/ADM 5 + 1 + MHK Projects/AWS II + 1 + MHK Projects/Admirality Inlet Tidal Energy Project + 22 + MHK Projects/Agucadoura + 2 + MHK Projects/Alaska 18 + 10 + MHK Projects/Alaska 36 + 10 + MHK Projects/Algiers Cutoff Project + 16 + MHK Projects/Algiers Light Project + 0 + MHK Projects/Anconia Point Project + 0 + MHK Projects/Ashley Point Project + 0 + MHK Projects/Astoria Tidal Energy + 300 + MHK Projects/Avondale Bend Project + 0 + MHK Projects/Bar Field Bend + 0 +

73

Property:EZFeed/ExpectedCapacity | Open Energy Information  

Open Energy Info (EERE)

ExpectedCapacity ExpectedCapacity Jump to: navigation, search Property Name EZFeed/ExpectedCapacity Property Type String Description EZFeed Expected Capacity property Subproperties This property has the following 6081 subproperties: 2 2003 Climate Change Fuel Cell Buy-Down Program (Federal) 3 30% Business Tax Credit for Solar (Vermont) 4 401 Certification (Vermont) A AEP (Central and North) - CitySmart Program (Texas) AEP (Central and North) - Residential Energy Efficiency Programs (Texas) AEP (Central and SWEPCO) - Coolsaver A/C Tune Up (Texas) AEP (Central, North and SWEPCO) - Commercial Solutions Program (Texas) AEP (SWEPCO) - Residential Energy Efficiency Programs (Texas) AEP Appalachian Power - Commercial and Industrial Rebate Programs (West Virginia) AEP Appalachian Power - Residential Home Retrofit Program (West Virginia)

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Property:EZFeed/InstalledCapacity | Open Energy Information  

Open Energy Info (EERE)

InstalledCapacity InstalledCapacity Jump to: navigation, search Property Name EZFeed/InstalledCapacity Property Type String Description EZFeed Installed Capacity property Subproperties This property has the following 6079 subproperties: 2 2003 Climate Change Fuel Cell Buy-Down Program (Federal) 3 30% Business Tax Credit for Solar (Vermont) 4 401 Certification (Vermont) A AEP (Central and North) - CitySmart Program (Texas) AEP (Central and North) - Residential Energy Efficiency Programs (Texas) AEP (Central and SWEPCO) - Coolsaver A/C Tune Up (Texas) AEP (Central, North and SWEPCO) - Commercial Solutions Program (Texas) AEP (SWEPCO) - Residential Energy Efficiency Programs (Texas) AEP Appalachian Power - Commercial and Industrial Rebate Programs (West Virginia) AEP Appalachian Power - Residential Home Retrofit Program (West Virginia)

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Capacity and Energy Payments to Small Power Producers and Cogenerators  

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

Capacity and Energy Payments to Small Power Producers and Capacity and Energy Payments to Small Power Producers and Cogenerators Under PURPA Docket (Georgia) Capacity and Energy Payments to Small Power Producers and Cogenerators Under PURPA Docket (Georgia) < Back Eligibility Commercial Developer Fuel Distributor General Public/Consumer Industrial Installer/Contractor Investor-Owned Utility Municipal/Public Utility Retail Supplier Rural Electric Cooperative Systems Integrator Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Georgia Program Type Green Power Purchasing Renewables Portfolio Standards and Goals Docket No. 4822 was enacted by the Georgia Public Service Commission in accordance with The Public Utility Regulatory Policies Act of 1978 (PURPA)

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Building Energy Software Tools Directory : CHP Capacity Optimizer  

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

CHP Capacity Optimizer Back to Tool CHP Capacity Optimizer data entry screen CHP Capacity Optimizer results screen CHP Capacity Optimizer restult map...

77

Table 7.2 Average Prices of Purchased Energy Sources, 2002  

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

2 Average Prices of Purchased Energy Sources, 2002;" 2 Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; " " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

78

Table 7.5 Average Prices of Selected Purchased Energy Sources, 2002  

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

5 Average Prices of Selected Purchased Energy Sources, 2002;" 5 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate","Natural ","LPG and",,"Row" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Factors" ,"Total United States"

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Table N8.2. Average Prices of Purchased Energy Sources, 1998  

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

2. Average Prices of Purchased Energy Sources, 1998;" 2. Average Prices of Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected","Wood and Other","Biomass","Components" ,,,,,,,"Coal Components",,,"Coke",,"Electricity","Components",,,,,,,,,,,,,"Natural Gas","Components",,"Steam","Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

80

Table 7.1 Average Prices of Purchased Energy Sources, 2002  

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

Average Prices of Purchased Energy Sources, 2002;" Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Physical Units." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

Note: This page contains sample records for the topic "average energy capacity" 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

Table 7.4 Average Prices of Selected Purchased Energy Sources, 2002  

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

4 Average Prices of Selected Purchased Energy Sources, 2002;" 4 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate","Natural ","LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Row" "Characteristic(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors"

82

"Table E8.1. Average Prices of Selected Purchased Energy Sources, 1998;"  

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

1. Average Prices of Selected Purchased Energy Sources, 1998;" 1. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate",,"LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","Row" "Characteristic(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors"

83

"Table E8.2. Average Prices of Selected Purchased Energy Sources, 1998;"  

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

2. Average Prices of Selected Purchased Energy Sources, 1998;" 2. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate",,"LPG and",,"Row" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","Factors" ,"Total United States"

84

Climate Change Capacity Development (C3D+) | Open Energy Information  

Open Energy Info (EERE)

C3D+) C3D+) Jump to: navigation, search Logo: Climate Change Capacity Development (C3D+) Name Climate Change Capacity Development (C3D+) Agency/Company /Organization United Nations Institute for Training and Research (UNITAR) Partner Caribbean Climate Change Community Centre (CCCCC), Climate System Analysis Group at UCT Cape Town (CSAG), Environment and Development Action in the Third World (ENDA-TM), University of Cape Town-Energy Research Centre, South Pacific Regional Environment Programme (SPREP), Munasinghe Institute (MIND), Center for International Forestry Research, International Institute for Sustainable Development (IISD), Stockholm Environment Institute Sector Climate Topics Low emission development planning Resource Type Training materials

85

A Surface Flux Parameterization Based on the Vertically Averaged Turbulence Kinetic Energy  

Science Conference Proceedings (OSTI)

A new bulk transfer formulation for the surface turbulent fluxes of momentum, heat, and moisture has been developed by using the square root of the vertically averaged turbulent kinetic energy (TKE) in the atmospheric boundary layer as a velocity ...

Changan Zhang; David A. Randall; Chin-Hoh Moeng; Mark Branson; Kerry A. Moyer; Qing Wang

1996-11-01T23:59:59.000Z

86

Development of a Sea Ice Model for Use in Zonally Averaged Energy Balance Climate Models  

Science Conference Proceedings (OSTI)

A sea ice model for use in zonally averaged energy balance climate models is presented which includes the following processes: surface melting, basal freezing and melting, lateral melting from ice-flee water or growth of new ice in leads, ...

L. D. Danny Harvey

1988-12-01T23:59:59.000Z

87

"Table A25. Average Prices of Selected Purchased Energy Sources by Census"  

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

. Average Prices of Selected Purchased Energy Sources by Census" . Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 1" " (Estimates in Dollars per Physical Unit)" ,,,,," " " "," "," ","Residual","Distillate","Natural Gas(c)"," "," ","RSE" "SIC"," ","Electricity","Fuel Oil","Fuel Oil(b)","(1000","LPG","Coal","Row" "Code(a)","Industry Groups and Industry","(kWh)","(gallon)","(gallon)","cu ft)","(gallon)","(short ton)","Factors"

88

Building Capacity for Innovative Policy NAMAs | Open Energy Information  

Open Energy Info (EERE)

Policy NAMAs Policy NAMAs Jump to: navigation, search Name Building Capacity for Innovative Policy NAMAs Agency/Company /Organization International Institute for Sustainable Development (IISD) Partner Norwegian Agency for Development Cooperation (NORAD) Sector Climate, Energy, Land Focus Area Non-renewable Energy, Agriculture, Buildings, Energy Efficiency, Forestry, Greenhouse Gas, Industry, Land Use, Transportation Topics Adaptation, Background analysis, Baseline projection, GHG inventory, Low emission development planning, Pathways analysis Program Start 2010 Program End 2013 Country Trinidad and Tobago Caribbean References International Institute for Sustainable Development (IISD)[1] This article is a stub. You can help OpenEI by expanding it. References ↑ "International Institute for Sustainable Development (IISD)"

89

Replacement energy, capacity, and reliability costs for permanent nuclear reactor shutdowns  

SciTech Connect

Average replacement power costs are estimated for potential permanent shutdowns of nuclear electricity-generating units. Replacement power costs are considered to include replacement energy, capacity, and reliability cost components. These estimates were developed to assist the US Nuclear Regulatory Commission in evaluating regulatory issues that potentially affect changes in serious reactor accident frequencies. Cost estimates were derived from long-term production-cost and capacity expansion simulations of pooled utility-system operations. Factors that affect replacement power cost, such as load growth, replacement sources of generation, and capital costs for replacement capacity, were treated in the analysis. Costs are presented for a representative reactor and for selected subcategories of reactors, based on estimates for 112 individual reactors.

VanKuiken, J.C., Buehring, W.A.; Hamilton, S.; Kavicky, J.A.; Cavallo, J.D.; Veselka, T.D.; Willing, D.L. [Argonne National Lab., IL (United States)

1993-10-01T23:59:59.000Z

90

Building Energy Software Tools Directory: CHP Capacity Optimizer  

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

Related Links CHP Capacity Optimizer CHP Capacity Optimizer logo Selecting the proper installed capacity for cooling, heating, and power (CHP) equipment is critical to the...

91

Property:Installed Capacity (MW) | Open Energy Information  

Open Energy Info (EERE)

Capacity (MW) Jump to: navigation, search Property Name Installed Capacity (MW) Property Type Number Retrieved from "http:en.openei.orgwindex.php?titleProperty:InstalledCapac...

92

The averaged tensors of the relative energy-momentum and angular momentum in general relativity  

E-Print Network (OSTI)

There exist at least a few different kind of averaging of the differences of the energy-momentum and angular momentum in normal coordinates {\\bf NC(P)} which give tensorial quantities. The obtained averaged quantities are equivalent mathematically because they differ only by constant scalar dimensional factors. One of these averaging was used in our papers [1-8] giving the {\\it canonical superenergy and angular supermomentum tensors}. In this paper we present one other averaging of the energy-momentum and angular momentum differences which gives tensorial quantities with proper dimensions of the energy-momentum and angular momentum densities. But these averaged energy-momentum and angular momentum tensors, closely related to the canonical superenergy and angular supermomentum tensors, {\\it depend on some fundamental length L}. The averaged energy-momentum and angular momentum tensors of the gravitational field obtained in the paper can be applied, like the canonical superenergy and angular supermomentum tensors, to coordinate independent local (and also global) analysis of this field.

Janusz Garecki

2005-05-30T23:59:59.000Z

93

Electric utility capacity expansion and energy production models for energy policy analysis  

DOE Green Energy (OSTI)

This report describes electric utility capacity expansion and energy production models developed for energy policy analysis. The models use the same principles (life cycle cost minimization, least operating cost dispatching, and incorporation of outages and reserve margin) as comprehensive utility capacity planning tools, but are faster and simpler. The models were not designed for detailed utility capacity planning, but they can be used to accurately project trends on a regional level. Because they use the same principles as comprehensive utility capacity expansion planning tools, the models are more realistic than utility modules used in present policy analysis tools. They can be used to help forecast the effects energy policy options will have on future utility power generation capacity expansion trends and to help formulate a sound national energy strategy. The models make renewable energy source competition realistic by giving proper value to intermittent renewable and energy storage technologies, and by competing renewables against each other as well as against conventional technologies.

Aronson, E.; Edenburn, M.

1997-08-01T23:59:59.000Z

94

Wind capacity additions slowed during 2010 - Today in Energy - U.S ...  

U.S. Energy Information Administration (EIA)

Growth in wind-powered electric generating capacity slowed in 2010, increasing by 11% from 2009 after increasing 40% on an average annual basis from 2005-2009.

95

Installed Geothermal Capacity/Data | Open Energy Information  

Open Energy Info (EERE)

Installed Geothermal Capacity/Data Installed Geothermal Capacity/Data < Installed Geothermal Capacity Jump to: navigation, search Download a CSV file of the table below: CSV FacilityType Owner Developer EnergyPurchaser Place GeneratingCapacity NumberOfUnits CommercialOnlineDate HeatRate WindTurbineManufacturer FacilityStatus Aidlin Geothermal Facility Geothermal Steam Power Plant Calpine Geysers Geothermal Area 20 MW20,000 kW 20,000,000 W 20,000,000,000 mW 0.02 GW 2.0e-5 TW 2 1989 Amedee Geothermal Facility Binary Cycle Power Plant Amedee Geothermal Venture Honey Lake, California 1.6 MW1,600 kW 1,600,000 W 1,600,000,000 mW 0.0016 GW 1.6e-6 TW 2 1988 BLM Geothermal Facility Double Flash Coso Operating Co. Coso Junction, California, 90 MW90,000 kW 90,000,000 W

96

"Table A25 Average Prices of Selected Purchased Energy Sources by Census"  

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

Average Prices of Selected Purchased Energy Sources by Census" Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 2" " (Estimates in Dollars per Million Btu)" ,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate"," "," "," ","Row" "Code(a)","Industry Groups and Industry","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","LPG","Coal","Factors" ,,"Total United States" ,"RSE Column Factors:",0.7,0.8,1,2.8,1,0.7 20,"Food and Kindred Products",15.789,2.854,6.064,2.697,7.596,1.433,4.5

97

THE IMPACTS OF RENEWABLE ENERGY POLICIES ON RENEWABLE ENERGY SOURCES FOR ELECTRICITY GENERATING CAPACITY .  

E-Print Network (OSTI)

??Electricity generation from non-hydro renewable sources has increased rapidly in the last decade. For example, Renewable Energy Sources for Electricity (RES-E) generating capacity in the (more)

[No author

2011-01-01T23:59:59.000Z

98

Estimates of Renewable Energy Capacity Serving U.S. Green Power...  

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

Estimates of Renewable Energy Capacity Serving U.S. Green Power Markets (as of December 2004) Lori Bird and Blair Swezey National Renewable Energy Laboratory September 2005 This...

99

Average regional end-use energy price projections to the year 2030  

Science Conference Proceedings (OSTI)

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration's (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-01-01T23:59:59.000Z

100

Average regional end-use energy price projections to the year 2030  

SciTech Connect

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration`s (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "average energy capacity" 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
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101

Table 7.2 Average Prices of Purchased Energy Sources, 2010;  

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

Table 7.2 Average Prices of Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and NAICS Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Coke Oven (excluding or LPG and Natural Gas from Local

102

Table 7.4 Average Prices of Selected Purchased Energy Sources, 2010;  

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

4 Average Prices of Selected Purchased Energy Sources, 2010; 4 Average Prices of Selected Purchased Energy Sources, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: U.S. Dollars per Physical Units. Residual Distillate LPG and Economic Electricity Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal Characteristic(a) (kWh) (gallons) (gallons) (1000 cu ft) (gallons) (short tons) Total United States Value of Shipments and Receipts (million dollars) Under 20 0.093 1.55 2.58 6.64 1.80 78.29 20-49 0.075 1.66 2.45 6.44 1.80 80.13 50-99 0.070 1.64 1.79 6.04 2.19 68.10 100-249 0.061 1.62 2.38 5.51 1.69 100.69 250-499 0.056 1.69 2.41 5.54 1.59 92.51 500 and Over 0.054 1.54 2.35 5.08 1.15 96.25 Total

103

Table 7.1 Average Prices of Purchased Energy Sources, 2010  

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

Average Prices of Purchased Energy Sources, 2010; Average Prices of Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Coal NAICS TOTAL Acetylene Breeze Total Anthracite Code(a) Subsector and Industry (million Btu) (cu ft) (short tons) (short tons) (short tons) Total United States 311 Food 9.12 0.26 0.00 53.43 90.85 3112 Grain and Oilseed Milling 6.30 0.29 0.00 51.34 50.47 311221 Wet Corn Milling 4.87 0.48 0.00 47.74 50.47 31131 Sugar Manufacturing 5.02 0.31 0.00 53.34 236.66 3114 Fruit and Vegetable Preserving and Specialty Foods 9.78 0.27 0.00 90.59 0.00 3115 Dairy Products 11.21 0.10 0.00 103.12 0.00 3116 Animal Slaughtering and Processing

104

FAO-Capacity Development on Climate Change | Open Energy Information  

Open Energy Info (EERE)

FAO-Capacity Development on Climate Change FAO-Capacity Development on Climate Change Jump to: navigation, search Tool Summary LAUNCH TOOL Name: FAO-Capacity Development on Climate Change Agency/Company /Organization: Food and Agriculture Organization of the United Nations Sector: Land, Climate Focus Area: Forestry, Agriculture Resource Type: Training materials, Lessons learned/best practices, Case studies/examples Website: www.fao.org/climatechange/learning/en/ Cost: Free FAO-Capacity Development on Climate Change Screenshot References: FAO-Capacity Development on Climate Change[1] Logo: FAO-Capacity Development on Climate Change This portal provides a one-stop window for Member States, partners, UN staff and other development actors to access FAO climate change learning resources to facilitate experience-sharing.

105

U.S. Refining Capacity Utilization - Energy Information Administration  

U.S. Energy Information Administration (EIA)

distillation utilization rate that exceeded their reported stream day capacities. The observation that almost 40 percent of the domestic refineries reported a one ...

106

Human Capacity Building in Energy Efficiency and Renewable Energy System Maintenance for the Yurok Tribe  

DOE Green Energy (OSTI)

From July 2005 to July 2007, the Schatz Energy Research Center (SERC) assisted the Yurok Tribe in the implementation of a program designed to build the Tribes own capacity to improve energy efficiency and maintain and repair renewable energy systems in Tribal homes on the Yurok Reservation. Funding for this effort was provided by the U.S. Department of Energys Tribal Program under First Steps grant award #DE-FG36-05GO15166. The programs centerpiece was a house-by-house needs assessment, in which Tribal staff visited and conducted energy audits at over fifty homes. The visits included assessment of household energy efficiency and condition of existing renewable energy systems. Staff also provided energy education to residents, evaluated potential sites for new household renewable energy systems, and performed minor repairs as needed on renewable energy systems.

Engel, R. A.' Zoellick, J J.

2007-07-31T23:59:59.000Z

107

The averaged tensors of the relative energy-momentum and angular momentum in general relativity and some their applications  

E-Print Network (OSTI)

There exist at least a few different kind of averaging of the differences of the energy-momentum and angular momentum in normal coordinates {\\bf NC(P)} which give tensorial quantities. The obtained averaged quantities are equivalent mathematically because they differ only by constant scalar dimensional factors. One of these averaging was used in our papers [1-8] giving the {\\it canonical superenergy and angular supermomentum tensors}. In this paper we present another averaging of the differences of the energy-momentum and angular momentum which gives tensorial quantities with proper dimensions of the energy-momentum and angular momentum densities. But these averaged relative energy-momentum and angular momentum tensors, closely related to the canonical superenergy and angular supermomentum tensors, {\\it depend on some fundamental length $L>0$}. The averaged relative energy-momentum and angular momentum tensors of the gravitational field obtained in the paper can be applied, like the canonical superenergy and angular supermomentum tensors, to {\\it coordinate independent} analysis (local and in special cases also global) of this field. We have applied the averaged relative energy-momentum tensors to analyze vacuum gravitational energy and momentum and to analyze energy and momentum of the Friedman (and also more general) universes. The obtained results are very interesting, e.g., the averaged relative energy density is {\\it positive definite} for the all Friedman universes.

Janusz Garecki

2005-10-26T23:59:59.000Z

108

Property:Plants with Unknown Planned Capacity | Open Energy Information  

Open Energy Info (EERE)

Plants with Unknown Planned Capacity Plants with Unknown Planned Capacity Jump to: navigation, search Property Name Plants with Unknown Planned Capacity Property Type String Description Number of plants with unknown planned capacity per GEA Pages using the property "Plants with Unknown Planned Capacity" Showing 21 pages using this property. A Alaska Geothermal Region + 1 + C Cascades Geothermal Region + 2 + Central Nevada Seismic Zone Geothermal Region + 9 + G Gulf of California Rift Zone Geothermal Region + 4 + H Hawaii Geothermal Region + 0 + Holocene Magmatic Geothermal Region + 0 + I Idaho Batholith Geothermal Region + 1 + N Northern Basin and Range Geothermal Region + 11 + Northern Rockies Geothermal Region + 0 + Northwest Basin and Range Geothermal Region + 9 + R Rio Grande Rift Geothermal Region + 1 +

109

Property:Device Nameplate Capacity (MW) | Open Energy Information  

Open Energy Info (EERE)

Nameplate Capacity (MW) Nameplate Capacity (MW) Jump to: navigation, search Property Name Device Nameplate Capacity (MW) Property Type String Pages using the property "Device Nameplate Capacity (MW)" Showing 25 pages using this property. (previous 25) (next 25) M MHK Projects/40MW Lewis project + 0 8MW 1MW Farms of multiple machines will be deployed with installed capacity of circa 20MW + MHK Projects/Algiers Light Project + 40 kW + MHK Projects/Anconia Point Project + 40 kW + MHK Projects/Ashley Point Project + 40 kW + MHK Projects/Avondale Bend Project + 40 kW + MHK Projects/Bar Field Bend + 40 kW + MHK Projects/Barfield Point + 40 kW + MHK Projects/Bayou Latenache + 40 kW + MHK Projects/BioSTREAM Pilot Plant + 250kW pilot 1MW commercial scale + MHK Projects/Bondurant Chute + 40 kW +

110

Building REDD Capacity in Developing Countries | Open Energy Information  

Open Energy Info (EERE)

Building REDD Capacity in Developing Countries Building REDD Capacity in Developing Countries Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Building REDD Capacity in Developing Countries Agency/Company /Organization: International Institute for Sustainable Development (IISD) Sector: Land Focus Area: Forestry Topics: Policies/deployment programs Resource Type: Workshop, Lessons learned/best practices Website: www.iisd.org/climate/land_use/redd/ Country: Kenya, Vietnam Eastern Africa, South-Eastern Asia References: IISD Building REDD Capacity in Developing Countries[1] Background "To provide developing countries with this support, IISD has partnered with the Alternatives to Slash and Burn Partnership for the Tropical Forest Margins, World Agroforesty Centre (ASB-ICRAF), to deliver a series of

111

Property:Technology Nameplate Capacity (MW) | Open Energy Information  

Open Energy Info (EERE)

Nameplate Capacity (MW) Nameplate Capacity (MW) Jump to: navigation, search Property Name Technology Nameplate Capacity (MW) Property Type String Pages using the property "Technology Nameplate Capacity (MW)" Showing 25 pages using this property. (previous 25) (next 25) M MHK Technologies/Aegir Dynamo + 100kW built and tested with 45kW 200kW and 1 4MW designs in development + MHK Technologies/AirWEC + 5kW + MHK Technologies/Aquantis + Proprietary + MHK Technologies/Atlantis AN 150 + 0 15 + MHK Technologies/Atlantis AR 1000 + 1 + MHK Technologies/Atlantis AS 400 + 0 4 + MHK Technologies/Bluetec + 1 + MHK Technologies/Current Power + from 10 kW and up + MHK Technologies/CurrentStar + 1 + MHK Technologies/Deep Green + 500 kW + MHK Technologies/Deep water capable hydrokinetic turbine + 30MW +

112

Capacity Needs Diagnostics for Renewable Energies (CaDRE) | Open Energy  

Open Energy Info (EERE)

Capacity Needs Diagnostics for Renewable Energies (CaDRE) Capacity Needs Diagnostics for Renewable Energies (CaDRE) Jump to: navigation, search Tool Summary Name: Capacity Needs Diagnostics for Renewable Energies (CaDRE) Agency/Company /Organization: International Renewable Energy Agency (IRENA), Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, I D A E Instituto para la Diversificacion y Ahorro de la Energia, NREL Sector: Energy Focus Area: Renewable Energy, Solar, Wind Phase: Determine Baseline, Develop Goals, Prepare a Plan Topics: Background analysis, Low emission development planning Resource Type: Guide/manual Cost: Free Coordinates: 44.087585028245°, 105.46875° 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":44.087585028245,"lon":105.46875,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

113

Property:Geothermal/CapacityMwt | Open Energy Information  

Open Energy Info (EERE)

CapacityMwt CapacityMwt Jump to: navigation, search This is a property of type Number. Pages using the property "Geothermal/CapacityMwt" Showing 25 pages using this property. (previous 25) (next 25) 4 4 UR Guest Ranch Pool & Spa Low Temperature Geothermal Facility + 0.2 + A Ace Development Aquaculture Low Temperature Geothermal Facility + 3 + Agua Calientes Trailer Park Space Heating Low Temperature Geothermal Facility + 1.5 + Alive Polarity's Murrietta Hot Spring Pool & Spa Low Temperature Geothermal Facility + 0.3 + Americulture Aquaculture Low Temperature Geothermal Facility + 0.7 + Aq Dryers Agricultural Drying Low Temperature Geothermal Facility + 0.88 + Aqua Caliente County Park Pool & Spa Low Temperature Geothermal Facility + 0.09 +

114

Property:Geothermal/CapacityBtuHr | Open Energy Information  

Open Energy Info (EERE)

CapacityBtuHr CapacityBtuHr Jump to: navigation, search This is a property of type Number. Pages using the property "Geothermal/CapacityBtuHr" Showing 25 pages using this property. (previous 25) (next 25) 4 4 UR Guest Ranch Pool & Spa Low Temperature Geothermal Facility + 0.8 + A Ace Development Aquaculture Low Temperature Geothermal Facility + 10.3 + Agua Calientes Trailer Park Space Heating Low Temperature Geothermal Facility + 2 + Alive Polarity's Murrietta Hot Spring Pool & Spa Low Temperature Geothermal Facility + 1 + Americulture Aquaculture Low Temperature Geothermal Facility + 2.4 + Aq Dryers Agricultural Drying Low Temperature Geothermal Facility + 3 + Aqua Caliente County Park Pool & Spa Low Temperature Geothermal Facility + 0.3 +

115

Table US14. Average Consumption by Energy End Uses, 2005 Million ...  

U.S. Energy Information Administration (EIA)

a climate zone according to the 30-year average annual degree-days for an appropriate nearby weather station.

116

Costa Rica-EU-UNDP Climate Change Capacity Building Program | Open Energy  

Open Energy Info (EERE)

Costa Rica-EU-UNDP Climate Change Capacity Building Program Costa Rica-EU-UNDP Climate Change Capacity Building Program Jump to: navigation, search Name Costa Rica-EU-UNDP Climate Change Capacity Building Program Agency/Company /Organization The European Union (EU), United Nations Development Programme (UNDP) Partner Multiple Ministries Sector Climate, Energy Focus Area Renewable Energy, Agriculture, Biomass, Buildings, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Industry, Land Use, Offsets and Certificates, People and Policy, Solar, Transportation, Water Power, Wind Topics Background analysis, Baseline projection, Co-benefits assessment, - Energy Access, - Environmental and Biodiversity, GHG inventory, Implementation, Low emission development planning, -LEDS, -NAMA, -Roadmap, -TNA, Policies/deployment programs, Resource assessment

117

Solar Energy With an average of over 300 sunny days a year, Israel is an ideal labo-  

E-Print Network (OSTI)

35 Solar Energy With an average of over 300 sunny days a year, Israel is an ideal labo- ratory for testing one particularly promising alternative to fossil fuels: solar energy. In contrast to fossil fuels as much energy strikes the earth in the form of solar radiation as is used in a whole year throughout

Maoz, Shahar

118

Mixed Boundary Conditions versus Coupling with an EnergyMoisture Balance Model for a Zonally Averaged Ocean Climate Model  

Science Conference Proceedings (OSTI)

The Wright and Stocker oceanic thermohaline circulation model is coupled to a recently developed zonally averaged energy moisture balance model for the atmosphere. The results obtained with this coupled model are compared with those from an ocean-...

H. Bjornsson; L. A. Mysak; G. A. Schmidt

1997-10-01T23:59:59.000Z

119

Capacity Building for Energy Performance Contracting in European Union.  

E-Print Network (OSTI)

?? Energy Performance Contracting (EPC) is an important tool to disseminate energy efficiency measures. This study focuses on the main barriers and success factors for (more)

Basar, Ezgi

2013-01-01T23:59:59.000Z

120

CCAP-Data and Capacity Needs for Transportation NAMAs | Open Energy  

Open Energy Info (EERE)

CCAP-Data and Capacity Needs for Transportation NAMAs CCAP-Data and Capacity Needs for Transportation NAMAs Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CCAP-Data and Capacity Needs for Transportation NAMAs Agency/Company /Organization: Center for Clean Air Policy Sector: Climate, Energy Focus Area: Transportation Topics: Low emission development planning, -NAMA Website: www.ccap.org/docs/resources/973/Transport_NAMA_Capacity-Building.pdf Cost: Free Language: English CCAP-Data and Capacity Needs for Transportation NAMAs Screenshot References: CCAP-Data and Capacity Needs for Transportation NAMAs[1] Report 1: Data Availability "The current report is the first in a series exploring the issue of data and capacity needs to support effective implementation and evaluation of transportation NAMAs. The purpose of this research is to support the

Note: This page contains sample records for the topic "average energy capacity" 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

Transmission Capacity of Wireless Ad Hoc Networks with Energy Harvesting Nodes  

E-Print Network (OSTI)

Transmission capacity of an ad hoc wireless network is analyzed when each node of the network harvests energy from nature, e.g. solar, wind, vibration etc. Transmission capacity is the maximum allowable density of nodes, satisfying a per transmitter-receiver rate, and an outage probability constraint. Energy arrivals at each node are assumed to follow a Bernoulli distribution, and each node stores energy using an energy buffer/battery. For ALOHA medium access protocol (MAP), optimal transmission probability that maximizes the transmission capacity is derived as a function of the energy arrival distribution. Game theoretic analysis is also presented for ALOHA MAP, where each transmitter tries to maximize its own throughput, and symmetric Nash equilibrium is derived. For CSMA MAP, back-off probability and outage probability are derived in terms of input energy distribution, thereby characterizing the transmission capacity.

Vaze, Rahul

2012-01-01T23:59:59.000Z

122

Event:Low Emission Capacity Building Workshop | Open Energy Information  

Open Energy Info (EERE)

Event Event Edit with form History Facebook icon Twitter icon » Event:Low Emission Capacity Building Workshop Jump to: navigation, search Calendar.png Low Emission Capacity Building Workshop: on 2012/10/01 The workshop sets out to discuss technical and policy relevant issues related to GHG inventory systems, NAMAs, LEDS, MRV, and industrial mitigation actions. It will take place in Marrakech, Morocco from October, 1-4, 2012. The main objectives of the workshop are: Facilitate an exchange among participating Phase 2 countries on the context assessments and the ultimate scope-of-work of Programme projects Identify follow-up actions to assist countries with the implementation of their projects Identify technical assistance needs and training priorities. Event Details

123

Dynamical interpretation of average fission-fragment kinetic energy systematics and nuclear scission  

Science Conference Proceedings (OSTI)

A dynamical interpretation of the well-known systematics for average total kinetic energy of fission fragments over a wide range of the Coulomb parameter (600fission theory--at zero neck radius and at finite neck radius--have been applied in dynamical calculations. Both have resulted in a fairly good description of the dependence of on the Coulomb parameter. The results of dynamical calculations of within three-dimensional Langevin dynamics show that the mean distance between the centers of mass of nascent fragments at the scission configuration increases linearly with the parameter Z{sup 2}/A{sup 1/3}. This distance changes approximately from 2.35R{sub 0} for {sup 119}Xe to 2.6R{sub 0} for {sup 256}Fm. In spite of this increase in mean distance between future fragments at scission, the linear dependence of on the parameter Z{sup 2}/A{sup 1/3} remains approximately valid over a wide range of the Coulomb parameter Z{sup 2}/A{sup 1/3}.

Nadtochy, P.N. [GSI, Plankstrasse 1, D-64291 Darmstadt (Germany); Omsk State University, Department of Theoretical Physics, Mira Prospect 55-A, RU-644077 Omsk (Russian Federation); Adeev, G.D. [Omsk State University, Department of Theoretical Physics, Mira Prospect 55-A, RU-644077 Omsk (Russian Federation)

2005-11-01T23:59:59.000Z

124

EC/UNDP Climate Change Capacity Building Program | Open Energy Information  

Open Energy Info (EERE)

EC/UNDP Climate Change Capacity Building Program EC/UNDP Climate Change Capacity Building Program Jump to: navigation, search Name UNDP/EC Climate Change Capacity Building Program Agency/Company /Organization The European Union (EU), United Nations Development Programme (UNDP) Partner Multiple Ministries Sector Climate Focus Area Renewable Energy, Agriculture, Biomass, Buildings, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Industry, Land Use, Offsets and Certificates, People and Policy, Solar, Transportation, Water Power, Wind Topics Background analysis, Baseline projection, Co-benefits assessment, - Energy Access, - Environmental and Biodiversity, GHG inventory, Implementation, -Roadmap, -TNA, Policies/deployment programs, Resource assessment Website http://www.lowemissiondevelopm

125

EU-UNDP Low Emission Capacity Building Programme (LECBP) | Open Energy  

Open Energy Info (EERE)

EU-UNDP Low Emission Capacity Building Programme (LECBP) EU-UNDP Low Emission Capacity Building Programme (LECBP) (Redirected from UNDP/EC-China-Climate Change Capacity Building Program) Jump to: navigation, search Name EU-UNDP Low Emission Capacity Building Programme (LECBP) Agency/Company /Organization The European Union (EU), United Nations Development Programme (UNDP), German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU), Australian Department of Climate Change and Energy Efficiency (DCCEE), Australian Agency for International Development (AusAID) Partner Multiple Ministries Sector Climate Focus Area Renewable Energy, Non-renewable Energy, Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Goods and Materials, Greenhouse Gas, Industry, Land Use, Offsets and Certificates, People and Policy, Solar, Transportation, Water Power, Wind

126

The private sector's capacity to manage climate risks and finance carbon neutral energy infrastructure  

E-Print Network (OSTI)

This dissertation examines the financial aspects of climate change relating to the private sector's capacity to manage climate risks and finance carbon neutral energy infrastructure. The dissertation examines (a) potential ...

Hart, Craig A

2007-01-01T23:59:59.000Z

127

ISO Forward Capacity Market (Massachusetts) | Open Energy Information  

Open Energy Info (EERE)

and Policies International Clean Energy Analysis Low Emission Development Strategies Oil & Gas Smart Grid Solar U.S. OpenLabs Utilities Water Wind Page Actions View form View...

128

High energy bursts from a solid state laser operated in the heat capacity limited regime  

DOE Patents (OSTI)

High energy bursts are produced from a solid state laser operated in a heat capacity limited regime. Instead of cooling the laser, the active medium is thermally well isolated. As a result, the active medium will heat up until it reaches some maximum acceptable temperature. The waste heat is stored in the active medium itself. Therefore, the amount of energy the laser can put out during operation is proportional to its mass, the heat capacity of the active medium, and the temperature difference over which it is being operated. The high energy burst capacity of a heat capacity operated solid state laser, together with the absence of a heavy, power consuming steady state cooling system for the active medium, will make a variety of applications possible. Alternately, cooling takes place during a separate sequence when the laser is not operating. Industrial applications include new material working processes.

Albrecht, Georg (Livermore, CA); George, E. Victor (Livermore, CA); Krupke, William F. (Pleasanton, CA); Sooy, Walter (Pleasanton, CA); Sutton, Steven B. (Manteca, CA)

1996-01-01T23:59:59.000Z

129

High energy bursts from a solid state laser operated in the heat capacity limited regime  

DOE Patents (OSTI)

High energy bursts are produced from a solid state laser operated in a heat capacity limited regime. Instead of cooling the laser, the active medium is thermally well isolated. As a result, the active medium will heat up until it reaches some maximum acceptable temperature. The waste heat is stored in the active medium itself. Therefore, the amount of energy the laser can put out during operation is proportional to its mass, the heat capacity of the active medium, and the temperature difference over which it is being operated. The high energy burst capacity of a heat capacity operated solid state laser, together with the absence of a heavy, power consuming steady state cooling system for the active medium, will make a variety of applications possible. Alternately, cooling takes place during a separate sequence when the laser is not operating. Industrial applications include new material working processes. 5 figs.

Albrecht, G.; George, E.V.; Krupke, W.F.; Sooy, W.; Sutton, S.B.

1996-06-11T23:59:59.000Z

130

Capacity Value of PV and Wind Generation in the NV Energy System  

Science Conference Proceedings (OSTI)

Calculation of photovoltaic (PV) and wind power capacity values is important for estimating additional load that can be served by new PV or wind installations in the electrical power system. It also is the basis for assigning capacity credit payments in systems with markets. Because of variability in solar and wind resources, PV and wind generation contribute to power system resource adequacy differently from conventional generation. Many different approaches to calculating PV and wind generation capacity values have been used by utilities and transmission operators. Using the NV Energy system as a study case, this report applies peak-period capacity factor (PPCF) and effective load carrying capability (ELCC) methods to calculate capacity values for renewable energy sources. We show the connection between the PPCF and ELCC methods in the process of deriving a simplified approach that approximates the ELCC method. This simplified approach does not require generation fleet data and provides the theoretical basis for a quick check on capacity value results of PV and wind generation. The diminishing return of capacity benefit as renewable generation increases is conveniently explained using the simplified capacity value approach.

Lu, Shuai; Diao, Ruisheng; Samaan, Nader A.; Etingov, Pavel V.

2012-09-01T23:59:59.000Z

131

Capacity of Fading Gaussian Channel with an Energy Harvesting Sensor Node  

E-Print Network (OSTI)

Network life time maximization is becoming an important design goal in wireless sensor networks. Energy harvesting has recently become a preferred choice for achieving this goal as it provides near perpetual operation. We study such a sensor node with an energy harvesting source and compare various architectures by which the harvested energy is used. We find its Shannon capacity when it is transmitting its observations over a fading AWGN channel with perfect/no channel state information provided at the transmitter. We also obtain the capacity with a finite energy buffer via Markov decision theory.

Rajesh, R

2010-01-01T23:59:59.000Z

132

Carbon-Aware Energy Capacity Planning for Datacenters  

E-Print Network (OSTI)

. INTRODUCTION The growth in the scale and number of datacenters is raising serious concerns about their power billion over the next decade and impose a peak load of over 20GW on the grid. Each 100MW power plant costs certificates (RECs), purchase of re- newable energy products such as power purchase agreements (PPAs

Urgaonkar, Bhuvan

133

Dynamic energy-aware capacity provisioning for cloud computing environments  

Science Conference Proceedings (OSTI)

Data centers have recently gained significant popularity as a cost-effective platform for hosting large-scale service applications. While large data centers enjoy economies of scale by amortizing initial capital investment over large number of machines, ... Keywords: cloud computing, energy management, model predictive control, resource management

Qi Zhang; Mohamed Faten Zhani; Shuo Zhang; Quanyan Zhu; Raouf Boutaba; Joseph L. Hellerstein

2012-09-01T23:59:59.000Z

134

Peru-EU-UNDP Low Emission Capacity Building Programme (LECBP) | Open Energy  

Open Energy Info (EERE)

Peru-EU-UNDP Low Emission Capacity Building Programme (LECBP) Peru-EU-UNDP Low Emission Capacity Building Programme (LECBP) Jump to: navigation, search Name Peru-EU-UNDP Low Emission Capacity Building Programme (LECBP) Agency/Company /Organization The European Union (EU), United Nations Development Programme (UNDP), German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU), Australian Department of Climate Change and Energy Efficiency (DCCEE), Australian Agency for International Development (AusAID) Partner Multiple Ministries Sector Climate Focus Area Renewable Energy, Non-renewable Energy, Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Goods and Materials, Greenhouse Gas, Industry, Land Use, Offsets and Certificates, People and Policy, Solar, Transportation, Water Power, Wind

135

Dynamic average-value modeling of doubly-fed induction generator wind energy conversion systems.  

E-Print Network (OSTI)

??In a Doubly-fed Induction Generator (DFIG) wind energy conversion system, the rotor of a wound rotor induction generator is connected to the grid via a (more)

Shahab, Azin

2013-01-01T23:59:59.000Z

136

"Table A42. Average Prices of Purchased Energy Sources by Census Region,"  

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

1" 1" " (Estimates in Dollars per Physical Units)" ,,,,,"Noncombustible Energy Sources",,,,,,,,,,,,,,,,,,"Combustible Energy Sources" ,,,,,,,,,,,,,,,"Solids",,,,,,,,,,"Gases",,,,,,,,,"Liquids" " "," ",," "," ",,,,," "," "," "," "," "," "," ",,,"Wood","Wood Residues",,,,,,,,,,,,,,,,,,,," " " "," ",,"Electricity","Electricity","Electricity","Steam","Steam","Steam","Industrial",," ","Bituminous and"," ",," ",,,"Harvested","and Byproducts","Wood and",,"Natural Gas",,,,,,,"Total Diesel Fuel",,,,,"Motor Gasoline",,,,," "

137

The Recovery Act: Cutting Costs and Upping Capacity | Department of Energy  

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

The Recovery Act: Cutting Costs and Upping Capacity The Recovery Act: Cutting Costs and Upping Capacity The Recovery Act: Cutting Costs and Upping Capacity August 25, 2010 - 5:56pm Addthis John Schueler John Schueler Former New Media Specialist, Office of Public Affairs Yesterday, Secretary Chu joined Vice President Joe Biden at the White House to help unveil a new report on how investments made through the Recovery Act have been impacting innovation. While the report analyzed several major sectors, its most striking findings centered on energy. The Recovery Act and Department of Energy investments in a range of solar energy technologies are helping make solar power much more cost-competitive, with significant cost reductions expected between now and 2015. The Recovery Act included more than $5 billion for solar photovoltaic

138

The Recovery Act: Cutting Costs and Upping Capacity | Department of Energy  

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

The Recovery Act: Cutting Costs and Upping Capacity The Recovery Act: Cutting Costs and Upping Capacity The Recovery Act: Cutting Costs and Upping Capacity August 25, 2010 - 5:56pm Addthis John Schueler John Schueler Former New Media Specialist, Office of Public Affairs Yesterday, Secretary Chu joined Vice President Joe Biden at the White House to help unveil a new report on how investments made through the Recovery Act have been impacting innovation. While the report analyzed several major sectors, its most striking findings centered on energy. The Recovery Act and Department of Energy investments in a range of solar energy technologies are helping make solar power much more cost-competitive, with significant cost reductions expected between now and 2015. The Recovery Act included more than $5 billion for solar photovoltaic

139

EIA - 2010 International Energy Outlook - World Energy Demand...  

Gasoline and Diesel Fuel Update (EIA)

about energy security and greenhouse gas emissions support the development of new nuclear generating capacity. World average capacity utilization rates have continued to rise...

140

EU-UNDP Climate Change Capacity Building Program | Open Energy Information  

Open Energy Info (EERE)

Building Program Building Program Jump to: navigation, search Name UNDP/EC Climate Change Capacity Building Program Agency/Company /Organization The European Union (EU), United Nations Development Programme (UNDP) Partner Multiple Ministries Sector Climate, Energy Focus Area Renewable Energy, Agriculture, Biomass, Buildings, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Industry, Land Use, Offsets and Certificates, People and Policy, Solar, Transportation, Water Power, Wind Topics Background analysis, Baseline projection, Co-benefits assessment, - Energy Access, - Environmental and Biodiversity, GHG inventory, Implementation, Low emission development planning, -LEDS, -NAMA, -Roadmap, -TNA, Policies/deployment programs, Resource assessment Website http://www.lowemissiondevelopm

Note: This page contains sample records for the topic "average energy capacity" 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

Tunisia-Capacity Development for GHG inventories and MRV | Open Energy  

Open Energy Info (EERE)

Tunisia-Capacity Development for GHG inventories and MRV Tunisia-Capacity Development for GHG inventories and MRV Jump to: navigation, search Name Capacity Development for GHG inventories and MRV in Tunisia Agency/Company /Organization Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH Sector Climate Focus Area Renewable Energy, Greenhouse Gas Topics GHG inventory, Low emission development planning, -LEDS, -NAMA, Policies/deployment programs Program End 2015 Country Tunisia Northern Africa References Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)[1] Program Overview Tunisia has developed NAMA approaches; however, robust systems by which to measure, report and verify (MRV) these measures are still lacking. The project supports the establishment of a comprehensive national MRV system

142

High energy bursts from a solid state laser operated in the heat capacity limited regime  

DOE Patents (OSTI)

Solid state laser technology is a very well developed field and numerous embodiments and modes of operation have been demonstrated. A more recent development has been the pumping of a solid state laser active medium with an array of diode lasers (diode pumping, for short). These diode pump packages have previously been developed to pump solid state lasers with good efficiency, but low average power. This invention is a method and the resulting apparatus for operating a solid state laser in the heat capacity mode. Instead of cooling the laser, the active medium will heat up until it reaches some maximum acceptable temperature. The waste heat is stored in the active medium itself.

Albrecht, G.; George, E.V.; Krupke, W. [and others

1994-12-31T23:59:59.000Z

143

Capacity Value of Concentrating Solar Power Plants  

DOE Green Energy (OSTI)

This study estimates the capacity value of a concentrating solar power (CSP) plant at a variety of locations within the western United States. This is done by optimizing the operation of the CSP plant and by using the effective load carrying capability (ELCC) metric, which is a standard reliability-based capacity value estimation technique. Although the ELCC metric is the most accurate estimation technique, we show that a simpler capacity-factor-based approximation method can closely estimate the ELCC value. Without storage, the capacity value of CSP plants varies widely depending on the year and solar multiple. The average capacity value of plants evaluated ranged from 45%?90% with a solar multiple range of 1.0-1.5. When introducing thermal energy storage (TES), the capacity value of the CSP plant is more difficult to estimate since one must account for energy in storage. We apply a capacity-factor-based technique under two different market settings: an energy-only market and an energy and capacity market. Our results show that adding TES to a CSP plant can increase its capacity value significantly at all of the locations. Adding a single hour of TES significantly increases the capacity value above the no-TES case, and with four hours of storage or more, the average capacity value at all locations exceeds 90%.

Madaeni, S. H.; Sioshansi, R.; Denholm, P.

2011-06-01T23:59:59.000Z

144

An Expert System to Estimate the Capacity of Harvesting Energy from Biogas and its Capacity in TRNC  

Science Conference Proceedings (OSTI)

In TRNC, the electricity is been obtained from fuel oil, which is most expensive production in the world. The aim of this research is to produce electricity from biogas to reduce the cost of electricity in TRNC. Our researches proved that the potential ... Keywords: Expert system, Biogas, Capacity determination

Hasan H. Onder

2009-12-01T23:59:59.000Z

145

EU-UNDP Low Emission Capacity Building Programme (LECBP) | Open Energy  

Open Energy Info (EERE)

(LECBP) (LECBP) Jump to: navigation, search Name EU-UNDP Low Emission Capacity Building Programme (LECBP) Agency/Company /Organization The European Union (EU), United Nations Development Programme (UNDP), German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU), Australian Department of Climate Change and Energy Efficiency (DCCEE), Australian Agency for International Development (AusAID) Partner Multiple Ministries Sector Climate Focus Area Renewable Energy, Non-renewable Energy, Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Goods and Materials, Greenhouse Gas, Industry, Land Use, Offsets and Certificates, People and Policy, Solar, Transportation, Water Power, Wind Topics Background analysis, Baseline projection, Co-benefits assessment, - Energy Access, - Environmental and Biodiversity, Finance, GHG inventory, Implementation, Low emission development planning, -LEDS, -NAMA, -Roadmap, Market analysis, Pathways analysis, Policies/deployment programs, Resource assessment

146

generation capacity | OpenEI  

Open Energy Info (EERE)

generation capacity generation capacity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO Electricity electricity market module region generation capacity Data application/vnd.ms-excel icon AEO2011: Electricity Generation Capacity by Electricity Market Module Region and Source- Reference Case (xls, 10.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

147

GENERATING CAPACITY  

E-Print Network (OSTI)

Evidence from the U.S. and some other countries indicates that organized wholesale markets for electrical energy and operating reserves do not provide adequate incentives to stimulate the proper quantity or mix of generating capacity consistent with mandatory reliability criteria. A large part of the problem can be associated with the failure of wholesale spot market prices for energy and operating reserves to rise to high enough levels during periods when generating capacity is fully utilized. Reforms to wholesale energy markets, the introduction of well-design forward capacity markets, and symmetrical treatment of demand response and generating capacity resources to respond to market and institutional imperfections are discussed. This policy reform program is compatible with improving the efficiency of spot wholesale electricity markets, the continued evolution of competitive retail markets, and restores incentives for efficient investment in generating capacity consistent with operating reliability criteria applied by system operators. It also responds to investment disincentives that have been associated with volatility in wholesale energy prices, limited hedging opportunities and to concerns about regulatory opportunism. 1

Paul L. Joskow; Paul L. Joskow; Paul L. Joskow

2006-01-01T23:59:59.000Z

148

Increasing the renewable energy sources absorption capacity of the Macedonian energy system  

Science Conference Proceedings (OSTI)

Macedonian energy sector is the main emitter of greenhouse gases with share of about 70% in the total annual emissions. Also

2013-01-01T23:59:59.000Z

149

Nuclear Energy Readiness Indicator Index (NERI): A benchmarking tool for assessing nuclear capacity in developing countries  

Science Conference Proceedings (OSTI)

Declining natural resources, rising oil prices, looming climate change and the introduction of nuclear energy partnerships, such as GNEP, have reinvigorated global interest in nuclear energy. The convergence of such issues has prompted countries to move ahead quickly to deal with the challenges that lie ahead. However, developing countries, in particular, often lack the domestic infrastructure and public support needed to implement a nuclear energy program in a safe, secure, and nonproliferation-conscious environment. How might countries become ready for nuclear energy? What is needed is a framework for assessing a country's readiness for nuclear energy. This paper suggests that a Nuclear Energy Readiness Indicator (NERI) Index might serve as a meaningful basis for assessing a country's status in terms of progress toward nuclear energy utilization under appropriate conditions. The NERI Index is a benchmarking tool that measures a country's level of 'readiness' for nonproliferation-conscious nuclear energy development. NERI first identifies 8 key indicators that have been recognized by the International Atomic Energy Agency as key nonproliferation and security milestones to achieve prior to establishing a nuclear energy program. It then measures a country's progress in each of these areas on a 1-5 point scale. In doing so NERI illuminates gaps or underdeveloped areas in a country's nuclear infrastructure with a view to enable stakeholders to prioritize the allocation of resources toward programs and policies supporting international nonproliferation goals through responsible nuclear energy development. On a preliminary basis, the indicators selected include: (1) demonstrated need; (2) expressed political support; (3) participation in nonproliferation and nuclear security treaties, international terrorism conventions, and export and border control arrangements; (4) national nuclear-related legal and regulatory mechanisms; (5) nuclear infrastructure; (6) the utilization of IAEA technical assistance; (7) participation in regional arrangements; and (8) public support for nuclear power. In this paper, the Index aggregates the indicators and evaluates and compares the level of readiness in seven countries that have recently expressed various degrees of interest in establishing a nuclear energy program. The NERI Index could be a valuable tool to be utilized by: (1) country officials who are considering nuclear power; (2) the international community, desiring reassurance of a country's capacity for the peaceful, safe, and secure use of nuclear energy; (3) foreign governments/NGO's, seeking to prioritize and direct resources toward developing countries; and (4) private stakeholders interested in nuclear infrastructure investment opportunities.

Saum-Manning,L.

2008-07-13T23:59:59.000Z

150

Coke Gasification - A Solution to Excess Coke Capacity and High Energy Costs  

E-Print Network (OSTI)

United States crude slate is becoming heavier and generally higher in sulfur. At the same time demand of distillate products is increasing. Refiners are reworking their plans to include resid conversion via coking and approximately 230,000 BPD of new coking capacity is either under construction or announced. Even if 50 percent of the coke produced is exported, there will be an excess capacity of coke selling at less than $30/ton depending upon the sulfur content. This coke can be gasified effectively to produce medium-Btu (300 Btu/scf) gas which, in turn, can fuel the refinery furnaces to replace natural gas. Coke gasification should prove economical with natural gas price decontrol and the average price projected to rise to over $14.0 per million Btu in 1990. The paper will discuss three gasifiers - Gesellschaft fur Kohle-Technologie Gmbh (GKT), Texaco and Westinghouse which may be used for the production of medium-Btu gas from coke. The design parameters, which for coke gasification may be different from coal gasification because of the difference in physical and chemical characteristics of coke and coal, will be evaluated. Conceptual design will be performed based upon normal fuel requirements of about 20 billion Btu per day for a typical 50,000 BPD refinery. Adaptability of coke derived gas to refinery fuel systems will be discussed in terms of flame temperatures, flue gas volumes, derating and required furnace modifications. Estimates of capital and operating costs will be obtained to calculate the gas cost using the new tax laws. Finally, the GKT gasifier will be compared to the developing Texaco and Westinghouse gasifiers to assess the effect of second generation gasifiers on the economics of coke gasification.

Patel, S. S.

1982-01-01T23:59:59.000Z

151

UNDP-Capacity Building for Low Carbon Growth in Ukraine | Open Energy  

Open Energy Info (EERE)

Low Carbon Growth in Ukraine Low Carbon Growth in Ukraine Jump to: navigation, search Name UNDP-Capacity Building for Low Carbon Growth in Ukraine Agency/Company /Organization United Nations Development Programme Sector Energy, Land, Climate Focus Area Economic Development Topics Low emission development planning, Pathways analysis, Background analysis Website http://www.undp.org Country Ukraine UN Region Eastern Europe References UNDP[1] "Due to economic decline following the break-up of the Soviet Union, Ukraine's greenhouse gas emissions are currently 54% lower than in 1990. At the same time, the Ukrainian economy remains among the most carbon intensive globally. Therefore the project aims to assist Ukraine in developing a long-term low carbon development strategy, focusing on

152

Capacity Development for GHG inventories and MRV in Tunisia | Open Energy  

Open Energy Info (EERE)

GHG inventories and MRV in Tunisia GHG inventories and MRV in Tunisia Jump to: navigation, search Name Capacity Development for GHG inventories and MRV in Tunisia Agency/Company /Organization Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH Sector Climate Focus Area Renewable Energy, Greenhouse Gas Topics GHG inventory, Low emission development planning, -LEDS, -NAMA, Policies/deployment programs Program End 2015 Country Tunisia Northern Africa References Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)[1] Program Overview Tunisia has developed NAMA approaches; however, robust systems by which to measure, report and verify (MRV) these measures are still lacking. The project supports the establishment of a comprehensive national MRV system for mitigation measures including greenhouse gas monitoring. This will be

153

Energy and Capacity Valuation of Photovoltaic Power Generation in New York  

E-Print Network (OSTI)

] that may, or may not be called upon. Another gauge of capacity is demand-based tarrification offered

Perez, Richard R.

154

An Analysis of the Kinetic Energy Budget for Two Extratropical Cyclones: The Vertically Averaged Flow and the Vertical Shear Flow  

Science Conference Proceedings (OSTI)

An analysis of the kinetic energy budget is made for two intensely developing cyclones over North America. The principal kinetic energy source for the first cyclone is the net horizontal transport of kinetic energy across the boundaries of the ...

Jordan C. Alpert

1981-06-01T23:59:59.000Z

155

average | OpenEI  

Open Energy Info (EERE)

average average Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (7 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density electric hectares km2 land land requirements land use land-use mean photovoltaic photovoltaics PV solar statistics Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Master Solar Land Use Spreadsheet (xlsx, 1.5 MiB)

156

Heat Capacity Evidence for the Suppression of Skyrmions at Large Zeeman Energy  

E-Print Network (OSTI)

Measurements on a multilayer two-dimensional electron system (2DES) near Landau level filling ?=1 reveal the disappearance of the nuclear spin contribution to the heat capacity as the ratio g between the Zeeman and Coulomb energies exceeds a critical value gc?0.04. This disappearance suggests the vanishing of the Skyrmion-mediated coupling between the lattice and the nuclear spins as the spin excitations of the 2DES make a transition from Skyrmions to single spin-flips above gc. Our experimental gc is smaller than the calculated gc=0.054 for an ideal 2DES; we discuss possible origins of this discrepancy. PACS numbers: 73.20.Dx, 73.40.Hm, 65.40.-f Typeset using REVTEX 1 The ground state and spin excitations of a two-dimensional electron system (2DES) near Landau level (LL) filling ?=1 have attracted much recent interest [19]. At this filling, the Coulomb exchange energy plays a dominant role, leading to a substantially larger quantum Hall effect (QHE) excitation gap than the expected single-particle Zeeman splitting [1].

S. Melinte; E. Grivei; V. Bayot; M. Shayegan

2008-01-01T23:59:59.000Z

157

Net Metering (Alaska) | Open Energy Information  

Open Energy Info (EERE)

Energy Category Renewable Energy Incentive Programs Aggregate Capacity Limit 1.5% of average retail demand Applicable Utilities Utilities with annual retail sales of 5,000,000...

158

Stock mechanics: theory of conservation of total energy and predictions of coming short-term fluctuations of Dow Jones Industrials Average (DJIA)  

E-Print Network (OSTI)

Predicting absolute magnitude of fluctuations of price, even if their sign remains unknown, is important for risk analysis and for option prices. In the present work, we display our predictions about absolute magnitude of daily fluctuations of the Dow Jones Industrials Average (DJIA), utilizing the original theory of conservation of total energy, for the coming 500 days.

Tuncay, C

2006-01-01T23:59:59.000Z

159

Study on the Methane Production Capacity and Energy Output of Different Temperatures during Anaerobic Digestion of Swine Manure  

Science Conference Proceedings (OSTI)

This study was carried out by experimenting with the self-manufactured digestion devices which were fed with swine manure as material with a domesticated inoculums added as yeast. The experiment was on the condition of 6.6% mass fraction of total solid, ... Keywords: anaerobic digestion, methane production capacity, temperature, energy, swine manure

Rong-rong Wei; Guan-wen Cheng; Jie-jun Luo; Liang Ling; Zong-qiang Zhu; Xu Shan; Wen-yuan Wei

2009-10-01T23:59:59.000Z

160

Energy Transports by Ocean and Atmosphere Based on an Entropy Extremum Principle. Part 1: Zonal Averaged Transports  

Science Conference Proceedings (OSTI)

Required global energy transports determined from Nimbus-7 satellite net radiation measurements have been separated into atmospheric and oceanic components by applying a maximum entropy production principle to the atmospheric system. Strong ...

Byung-Ju Sohn; Eric A. Smith

1993-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "average energy capacity" 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

Modeling Capacity Reservation Contract  

E-Print Network (OSTI)

In this paper we model a scenario where a chip designer (buyer) buys capacity from chip manufacturers (suppliers) in the presence of demand uncertainty faced by the buyer. We assume that the buyer knows the probability distribution of his demand. The supplier offers the buyer to reserve capacity in advance at a price that is lower than the historical average of the spot price. The suppliers price (if the buyer reserves capacity in advance) is function of her capacity, demand for her capacity, unit production cost, the average spot market price and the amount of capacity reserved by the buyer. Based on these parameters we derive the price the suppliers will charge. We formulate the problem from the buyers perspective. The buyers decisions are how much capacity to reserve and from how many suppliers. The optimal solution is obtained numerically. Our model addresses the following issues that are not covered in the current literature on capacity reservation models. In the existing literature the suppliers price is an exogenous parameter. We model the suppliers price from relevant parameters mentioned above. This makes our model richer. For example, if the expected capacity utilization for the supplier is likely to be low then the supplier will charge a lower price for capacity reservation. In reality, the buyer sources from multiple suppliers. Most mathematical models on capacity reservation, we are aware of, assumes a single buyer and a single supplier. We generalize this to a single buyer and multiple suppliers.

Jishnu Hazra; B. Mahadevan; Sudhi Seshadri

2002-01-01T23:59:59.000Z

162

Examination of Capacity and Ramping Impacts of Wind Energy on Power Systems  

DOE Green Energy (OSTI)

When wind plants serve load within the balancing area, no additional capacity required to integrate wind power into the system. We present some thought experiments to illustrate some implications for wind integration studies.

Kirby, B.; Milligan, M.

2008-07-01T23:59:59.000Z

163

Nanosheet-structured LiV3O8 with high capacity and excellent stability for high energy lithium batteries  

Science Conference Proceedings (OSTI)

Highly stable LiV3O8 with a nanosheet-structure was successfully prepared using polyethylene glycol (PEG) polymer in the precursor solution as the structure modifying agent, followed by calcination in air at 400oC, 450oC, 500oC, and 550oC. These materials provide the best electrochemical performance ever reported for LiV3O8 crystalline electrodes, with a specific discharge capacity of 260 mAh g-1 and no capacity fading over 100 cycles at 100 mA g-1. The excellent cyclic stability and high specific discharge capacity of the material are attributed to the novel nanosheets structure formed in LiV3O8. These LiV3O8 nanosheets are good candidates for cathode materials for high-energy lithium battery applications.

Pan, Anqiang; Zhang, Jiguang; Cao, Guozhong; Liang, Shu-quan; Wang, Chong M.; Nie, Zimin; Arey, Bruce W.; Xu, Wu; Liu, Dawei; Xiao, Jie; Li, Guosheng; Liu, Jun

2011-07-21T23:59:59.000Z

164

Scotts Valley Energy Office and Human Capacity Building that will provide energy-efficiency services and develop sustainable renewable energy projects.  

SciTech Connect

The primary goal of this project is to develop a Scotts Valley Energy Development Office (SVEDO). This office will further support the mission of the Tribe's existing leadership position as the DOE Tribal Multi-County Weatherization Energy Program (TMCWEP) in creating jobs and providing tribal homes and buildings with weatherization assistance to increase energy efficiency, occupant comfort and improved indoor air quality. This office will also spearhead efforts to move the Tribe towards its further strategic energy goals of implementing renewable energy systems through specific training, resource evaluation, feasibility planning, and implementation. Human capacity building and continuing operations are two key elements of the SVEDO objectives. Therefore, the project will 1) train and employ additional Tribal members in energy efficiency, conservation and renewable resource analyses and implementation; 2) purchase materials and equipment required to implement the strategic priorities as developed by the Scotts Valley Tribe which specifically include implementing energy conservation measures and alternative energy strategies to reduce energy costs for the Tribe and its members; and 3) obtain a dedicated office and storage space for ongoing SVEDO operations.

Anderson, Temashio [Scotts Valley Band of Pomo Indians

2013-06-28T23:59:59.000Z

165

Scotts Valley Energy Office and Human Capacity Building that will provide energy-efficiency services and develop sustainable renewable energy projects.  

SciTech Connect

The primary goal of this project is to develop a Scotts Valley Energy Development Office (SVEDO). This office will further support the mission of the Tribe's existing leadership position as the DOE Tribal Multi-County Weatherization Energy Program (TMCWEP) in creating jobs and providing tribal homes and buildings with weatherization assistance to increase energy efficiency, occupant comfort and improved indoor air quality. This office will also spearhead efforts to move the Tribe towards its further strategic energy goals of implementing renewable energy systems through specific training, resource evaluation, feasibility planning, and implementation. Human capacity building and continuing operations are two key elements of the SVEDO objectives. Therefore, the project will 1) train and employ additional Tribal members in energy efficiency, conservation and renewable resource analyses and implementation; 2) purchase materials and equipment required to implement the strategic priorities as developed by the Scotts Valley Tribe which specifically include implementing energy conservation measures and alternative energy strategies to reduce energy costs for the Tribe and its members; and 3) obtain a dedicated office and storage space for ongoing SVEDO operations.

Anderson, Temashio [Scotts Valley Band of Pomo Indians

2013-06-28T23:59:59.000Z

166

How the institutional organization of Santiago affects its capacity to design and apply urban energy initiatives  

E-Print Network (OSTI)

The need for greater levels of energy efficiency has never been as clear as it is now. In the case of Chile, factors such as high energy consumption, high energy prices and growing concern for the environment and energy ...

Cruzat Correa, Raimundo

2013-01-01T23:59:59.000Z

167

An examination of capacity and ramping impacts of wind energy on power systems  

Science Conference Proceedings (OSTI)

When wind serves load outside of the host balancing area, there can be additional capacity requirements - mitigated by faster markets and exacerbated by slower markets. A series of simple thought experiments is useful in illustrating the implications for wind integration studies. (author)

Kirby, Brendan; Milligan, Michael

2008-08-15T23:59:59.000Z

168

Evaluation of the Heating & Cooling Energy Demand of a Case Residential Building by Comparing The National Calculation Methodology of Turkey and EnergyPlus through Thermal Capacity Calculations  

E-Print Network (OSTI)

In all around the world, because of the rapid population growth and exhausting energy sources over time, energy efficiency and energy conservation gradually come into prominence. Hence, in 2002, a directive (EPBD) which obligates reducing energy usage and energy performance in buildings was published by European Union. In this scope, Turkey has developed a National Building Energy Performance Calculation Methodology, BepTr, which is based on simple hourly method in ISO EN 13790 Umbrella Document to determine the energy performance of buildings. The aim of the paper is to display the energy demand differences resultant from only the envelopes thermal capacity between simplified method which is projected in ISO EN 13790 Umbrella Document and EnergyPlus which is based on full dynamic simulation method.

Atamaca, Merve; Kalaycioglu, Ece; Yilmaz, Zerrin

2011-10-01T23:59:59.000Z

169

High-Capacity Hydrogen-Based Green-Energy Storage Solutions for ...  

Science Conference Proceedings (OSTI)

Integrating intermittent renewable energy sources, by safe and cost-effective energy storage systems based on solid state hydrogen is today achievable thanks...

170

Today in Energy - Uprates can increase U.S. nuclear capacity ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Financial market analysis and financial data for major energy companies ... Stretch uprates increase electrical output by 3% to ...

171

OPEC spare capacity in the first quarter of 2012 at lowest ...  

U.S. Energy Information Administration (EIA)

The U.S. Energy Information Administration (EIA) estimates that global spare crude oil production capacity averaged about 2.4 million barrels per day (bbl/d) during ...

172

Average Commercial Price  

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

Residential Price Average Commercial Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

173

AVERAGE SHIFTED HISTOGRAM  

Science Conference Proceedings (OSTI)

... LET YPPF = XCDF LET XPPF = YCDF. Default: None Synonyms: ASH is a synonym for the AVERAGE SHIFTED HISTOGRAM command. ...

2010-12-06T23:59:59.000Z

174

Comment on "Partial energies fluctuations and negative heat capacities" by X. Campi et al  

E-Print Network (OSTI)

Studying the energy partioning published in nucl-th/0406056v2 we show that the presented results do not fulfill the sum rule due to energy conservation. The observed fluctuations of the energy conservation test point to a numerical problem. Moreover, analysis of the binding energies show that the fragment recognition algorithm adopted by Campi et al. leads with a sizeable probability to fragments containing up to the total mass even for excitation energies as large as 3/4 of the total binding. This surprising result points to another problem since the published inter-fragment energy is not zero while a unique fragment is present. This problem may be due to either the fragment recognition algorithm or to the definition of the inter and intra-fragment energy. These numerical inconsistencies should be settled before any conclusion on the physics can be drawn.

Ph. Chomaz; F. Gulminelli; M. D'Agostino

2004-07-16T23:59:59.000Z

175

Advances in Energy Efficiency, Capital Cost, and Installation Schedules for Large Capacity Cooling Applications Using a Packaged Chiller Plant Approach  

E-Print Network (OSTI)

Cooling equipment, whether used to meet air-conditioning or process cooling loads, represents a large consumer of energy. Even more to the point, cooling loads and the associated cooling equipment energy consumption tend to be at maximum levels during periods of high ambient air temperatures. It is precisely at those times that the general demand for energy is at its peak and therefore the price or value of energy is also at its highest level. Cooling loads often drive the peak electric power demand of energy users and thus affect not only the level of consumption of high cost energy, but also affect the peak power demand. Together, the energy and demand costs equate to very high unit costs for operating cooling equipment. Accordingly, it is of interest to minimize cooling energy use and costs by maximizing the energy efficiency of cooling equipment installations. A relatively new approach has been developed and is being increasingly used to maximize chiller plant efficiency. The approach involves the use of a standardized, pre-engineered, shop-fabricated approach to entire chiller plant installations. Compared to the traditional, piece-meal approach to chiller plants that utilize individual component specification, procurement and installation, the "packaged" or modular chiller plant approach often delivers substantially improved energy efficiencies. Also, the packaged plant approach achieves further benefits for large cooling system owners and operators. These additional benefits include: 1) dramatic reductions in unit capital costs of installed chiller plant capacity on a dollar per ton basis, 2) marked improvements in total procurement and installation schedules, 3) significantly smaller space requirements, and 4) enhanced control over total system quality and performance. The capacities and performance characteristics of available chiller plant modules are described, including both electric and non-electric chiller technologies. Examples are presented to illustrate the typical sizes and locations of actual installations as well as the growth and extent of the use of this technology to-date. Case studies document the energy efficiency improvements, cost reductions in both operating and capital costs, and improvements in schedule and space utilization, of the packaged chiller plant approach relative to the traditional chiller plant approach.

Pierson, T. L.; Andrepont, J. S.

2003-05-01T23:59:59.000Z

176

U.S. wind capacity takes off after 2005 - Today in Energy - U ...  

U.S. Energy Information Administration (EIA)

The June 16 edition of Today in Energy examined the wide age range of electric power generators for all fuels; today's article looks specifically at w ...

177

Spectral and Parametric Averaging for Integrable Systems  

E-Print Network (OSTI)

We analyze two theoretical approaches to ensemble averaging for integrable systems in quantum chaos - spectral averaging and parametric averaging. For spectral averaging, we introduce a new procedure - rescaled spectral averaging. Unlike traditional spectral averaging, it can describe the correlation function of spectral staircase and produce persistent oscillations of the interval level number variance. Parametric averaging, while not as accurate as rescaled spectral averaging for the correlation function of spectral staircase and interval level number variance, can also produce persistent oscillations of the global level number variance and better describes saturation level rigidity as a function of the running energy. Overall, it is the most reliable method for a wide range of statistics.

Tao Ma; R. A. Serota

2013-06-03T23:59:59.000Z

178

EIA Energy Efficiency-Table 4c. Capacity Adjusted Value of Production a by  

Gasoline and Diesel Fuel Update (EIA)

c c Page Last Modified: May 2010 Table 4c. Capacity Adjusted Value of Production 1 by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 432 459 487 312 Beverage and Tobacco Product Manufacturing 116 110 115 313 Textile Mills 55 52 42 314 Textile Product Mills 32 34 32 315 Apparel Manufacturing 67 53 31 316 Leather and Allied Product Manufacturing 11 8 6 321 Wood Product Manufacturing 88 95 98 322 Paper Manufacturing 172 163 160 323 Printing and Related Support Activities 107 106 99 324 Petroleum and Coal Products Manufacturing 221 241 254 325 Chemical Manufacturing 437 468 510 326 Plastics and Rubber Products Manufacturing 162 181 175

179

EIA Energy Efficiency-Table 3c. Capacity Adjusted Value of Production a by  

Gasoline and Diesel Fuel Update (EIA)

c c Page Last Modified: May 2010 Table 3c. Capacity Adjusted Value of Production 1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 430 468 552 312 Beverage and Tobacco Product Manufacturing 98 120 131 313 Textile Mills 57 50 44 314 Textile Product Mills 31 34 36 315 Apparel Manufacturing 66 53 31 316 Leather and Allied Product Manufacturing 11 8 7 321 Wood Product Manufacturing 87 94 110 322 Paper Manufacturing 159 160 177 323 Printing and Related Support Activities 104 109 107 324 Petroleum and Coal Products Manufacturing 134 215 523 325 Chemical Manufacturing 415 470 657 326 Plastics and Rubber Products Manufacturing 158 183 212 327 Nonmetallic Mineral Product Manufacturing 85 97 134

180

Estimated 2000 Interregional Pipeline Capacity and 1999 Average Flows  

U.S. Energy Information Administration (EIA)

... the nation's natural gas interstate pipeline infrastructure appears more than adequate to meet the differing regional market demand requirements that are likely ...

Note: This page contains sample records for the topic "average energy capacity" 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

arbitrage opportunities for energy efficiency resources in the PJM capacity market.  

E-Print Network (OSTI)

??This study examines the effect of Energy Efficiency Projects on the PennsylvaniaNew JerseyMaryland Interconnection (PJM) Reliability Pricing Model (RPM). In particular, it focuses on the (more)

Nagy, Stefan

2013-01-01T23:59:59.000Z

182

Microsoft Word - GasCapacityReport3-17.doc  

Gasoline and Diesel Fuel Update (EIA)

for the Lower-48 States Executive Summary This analysis examines the availability of effective productive capacity to meet the projected wellhead demand for natural gas through 2003. Effective productive capacity is defined as the maximum production available from natural gas wells considering limitations of the production, gathering, and transportation systems. Surplus or unutilized capacity is the difference between the effective productive capacity and the actual production. This report contains projections of natural gas effective productive capacity in the Lower-48 States for 2003 and is based on prices and production forecasts in EIA's February 2003 Short Term Energy Outlook (STEO). The analysis projects an average surplus capacity of 5.6 Bcf/d in 2003 under STEO Base

183

Capacity Value of Solar Power  

Science Conference Proceedings (OSTI)

Evaluating the capacity value of renewable energy sources can pose significant challenges due to their variable and uncertain nature. In this paper the capacity value of solar power is investigated. Solar capacity value metrics and their associated calculation methodologies are reviewed and several solar capacity studies are summarized. The differences between wind and solar power are examined, the economic importance of solar capacity value is discussed and other assessments and recommendations are presented.

Duignan, Roisin; Dent, Chris; Mills, Andrew; Samaan, Nader A.; Milligan, Michael; Keane, Andrew; O'Malley, Mark

2012-11-10T23:59:59.000Z

184

capacity | OpenEI  

Open Energy Info (EERE)

capacity capacity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 9, and contains only the reference case. The dataset uses gigawatts. The data is broken down into power only, combined heat and power, cumulative planned additions, cumulative unplanned conditions, and cumulative retirements and total electric power sector capacity . Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO capacity consumption EIA Electricity generating Data application/vnd.ms-excel icon AEO2011: Electricity Generating Capacity- Reference Case (xls, 130.1 KiB) Quality Metrics Level of Review Peer Reviewed Comment

185

Peak Underground Working Natural Gas Storage Capacity  

U.S. Energy Information Administration (EIA)

Peak Working Natural Gas Capacity. Data and Analysis from the Energy Information Administration (U.S. Dept. of Energy)

186

Handbook of solar energy data for south-facing surfaces in the United States. Volume II. Average hourly and total daily insolation data for 235 localities (Alaska - Montana)  

DOE Green Energy (OSTI)

Average hourly and daily total insolaion estimates are given for 235 US sites at a variety of array tilt angles. (MHR)

Smith, J.H.

1980-01-15T23:59:59.000Z

187

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

188

Average Commercial Price  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

189

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

190

Average Residential Price  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

191

Table 6. Operable Crude Oil and Downstream Charge Capacity of ...  

U.S. Energy Information Administration (EIA)

Downstream Charge Capacity Table 6. ... (EIA), Form EIA-820, "Annual Refinery Report." Energy Information Administration, Refinery Capacity 2011 46. Title:

192

Symmetrical Symplectic Capacity with Applications  

E-Print Network (OSTI)

In this paper, we first introduce the concept of symmetrical symplectic capacity for symmetrical symplectic manifolds, and by using this symmetrical symplectic capacity theory we prove that there exists at least one symmetric closed characteristic (brake orbit and $S$-invariant brake orbit are two examples) on prescribed symmetric energy surface which has a compact neighborhood with finite symmetrical symplectic capacity.

Liu, Chungen

2010-01-01T23:59:59.000Z

193

Refinery Capacity Report  

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

Refinery Capacity Report Refinery Capacity Report June 2013 With Data as of January 1, 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. Table 1. Number and Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2013

194

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

195

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

196

Average Residential Price  

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

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

197

DOE Average Results  

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

DOE DOE Average Results FY 12 DOE Target FY 12 Customer Perspective: Customer Satisfaction: -Timeliness 92 88 -Quality 94 92 Effective Service Partnership: -Extent of Customer Satisfaction with the responsiveness, etc. 90 92 Internal Business Perspective: Acquisition Excellence: -Extent to which internal quality control systems are effective 90 88 Most Effective Use of Contracting Approaches to Maximize Efficiency and Cost Effectiveness: Use of Competition: -% of total $'s obligated on competitive acquisitions >$3000 (Agency Level Only) 94 85 -% of acquisition actions competed for actions > $3000 (Agency Level Only) 65 68 Performance Based Acquisition: - % PBA actions relative to total eligible new acquisition actions (applicable to new actions > $25K) 82

198

How much electric supply capacity is needed to keep U.S ...  

U.S. Energy Information Administration (EIA)

Today in Energy ... tags: capacity demand electricity generation capacity NERC (North American Electric Reliability Corporation)

199

On the heat channel and its capacity  

E-Print Network (OSTI)

The heat channel is defined by an analog filter and a subsequent inaccurate measurement of the filter output signal. The filter is related to the solution of the heat equation and to the heat kernel of the quantum mechanical harmonic oscillator, so the name of the channel. The channel is modeled as an infinite-dimensional vector Gaussian channel and the capacity in terms of average energy of the input signal is derived. The relation to rate distortion theory is investigated by calculating the rate distortion function of a closely connected Gaussian process. An application to optical fiber communication is given. Characterizations of the capacity/rate distortion function by water-filling/reverse water-filling in the time-frequency plane are stated and proved. Finally, a second formula for the capacity of the heat channel based on average energy of the measured filter output signal is derived. The result is interpreted in context of estimation theory and a parallel to a famous formula connecting mutual informat...

Hammerich, Edwin

2011-01-01T23:59:59.000Z

200

production capacity | OpenEI  

Open Energy Info (EERE)

production capacity production capacity Dataset Summary Description No description given. Source Oak Ridge National Laboratory Date Released November 30th, 2009 (4 years ago) Date Updated Unknown Keywords biodiesel ethanol location production capacity transportation Data application/zip icon Biorefineries.zip (zip, 7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating.

Note: This page contains sample records for the topic "average energy capacity" 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

installed capacity | OpenEI  

Open Energy Info (EERE)

installed capacity installed capacity Dataset Summary Description Estimates for each of the 50 states and the entire United States show Source Wind Powering America Date Released February 04th, 2010 (4 years ago) Date Updated April 13th, 2011 (3 years ago) Keywords annual generation installed capacity usa wind Data application/vnd.ms-excel icon Wind potential data (xls, 102.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Other or unspecified, see optional comment below Comment Work of the U.S. Federal Government. Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments

202

Electric Capacity | OpenEI  

Open Energy Info (EERE)

Capacity Capacity Dataset Summary Description The New Zealand Ministry of Economic Development publishes an annual Energy Outlook, which presents projections of New Zealand's future energy supply, demand, prices and greenhouse gas emissions. The principle aim of these projections is to inform the national energy debate. Included here are the model results for electricity and generation capacity. The spreadsheet provides an interactive tool for selecting which model results to view, and which scenarios to evaluate; full model results for each scenario are also included. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated December 15th, 2010 (3 years ago) Keywords Electric Capacity Electricity Generation New Zealand projections

203

Census Division Number of Average Monthly Average Retail Price...  

Gasoline and Diesel Fuel Update (EIA)

Average Monthly Average Retail Price Average Monthly Bill State Consumers Consumption (kWh) (Cents per Kilowatthour) (Dollar and cents) New England 34,271 67,907 12.55 8,520.25...

204

Optimization of the Refrigerant Capacity in Multiphase ...  

Science Conference Proceedings (OSTI)

Symposium, Magnetic Materials for Energy Applications. Presentation Title, Optimization of the Refrigerant Capacity in Multiphase Magnetocaloric Materials.

205

Average utilization of the nation's natural gas combined-cycle ...  

U.S. Energy Information Administration (EIA)

... (purple line) and 2010 (red line) average capacity factors for natural gas plant operations between 10 p.m. and 6 a.m. rose from 26% to 32%.

206

Italian Association of Energy EconomistsYardstick Regulation of Electricity Distribution Utilities Based on the Estimation of an Average Cost Function *  

E-Print Network (OSTI)

In this paper we estimate an average-cost function for a panel of 45 Swiss electricity distribution utilities as a basis for yardstick regulation of the distribution-network access prices. Unlike the existing literature, we separate the electricity sales function of utilities from the network operation function. Several exogenous variables measuring the heterogeneity of the service areas were included in the model specification in order to allow the regulator to set differentiated benchmark prices incorporating this heterogeneity. We can identify different exogenous service area characteristics that affect average cost. These are the load factor, the customer density and the output density of different consumer groups. Moreover, the estimation results indicate the existence of significant economies of scale; i.e. most of the Swiss utilities in our sample are too small to reach minimum efficient scale. However, to give the small utilities incentives to merge the size of the utilities must not be included in the yardstick calculation. 1.

Massimo Filippini; Jrg Wild; Massimo Filippini; Jrg Wild

1999-01-01T23:59:59.000Z

207

Californias Energy Future: Transportation Energy Use in California  

E-Print Network (OSTI)

increasing average battery capacity thus reducing averageOver time, larger capacity battery systems should becomeof battery life revolves around degradation of capacity by

Yang, Christopher

2011-01-01T23:59:59.000Z

208

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

209

U.S. On-Grid Photovoltaic Capacity: A Baseline for the National Energy Modeling System: Preprint  

SciTech Connect

How much photovoltaics (PV) is installed in the United States? This basic question poses a data collection challenge, as PV systems are generally small and there is no systematic, nationwide reporting scheme for electric plants under 1 MW in size. This paper presents results and methods from an effort to arrive at an accurate estimate of grid-connected PV capacity and a database of installations underlying this number. Two main products resulted from these efforts, the first being a spreadsheet summarizing knowledge of PV capacity in the U.S. The second product, presented in this paper, is a database of PV installations, yielding a total on-grid capacity of 26.6 MW at the end of 2000. Compared to sources giving an upper bound of between 30 and 40 MW for cumulative on-grid PV capacity in the U.S., 26.6 MW is still low, but this number is the largest to date that is based on a database of installations.

Price, S.; Herig, C.; Goldstein, H. L.; Gillette, L.; Boedecker, E.; Holihan, J.

2002-05-01T23:59:59.000Z

210

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

at one delivery point. (2) Option 2 The customer sells to the Company the energy and average on-peak capacity produced by the customer's qualifying COGENSPP facilities in excess...

211

Capacity Markets for Electricity  

E-Print Network (OSTI)

ternative Approaches for Power Capacity Markets, Papers andand Steven Stoft, Installed Capacity and Price Caps: Oil onElectricity Markets Have a Capacity requirement? If So, How

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

212

2. Gas Productive Capacity  

U.S. Energy Information Administration (EIA)

2. Gas Productive Capacity Gas Capacity to Meet Lower 48 States Requirements The United States has sufficient dry gas productive capacity at the wellhead to meet ...

213

average air temperature | OpenEI  

Open Energy Info (EERE)

average air temperature average air temperature Dataset Summary Description (Abstract): Air Temperature at 10 m Above The Surface Of The Earth (deg C)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Air Temperature at 10 m Above The Surface Of The Earth (deg C)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords average air temperature

214

Determination of HEat Capacity of Yucca Mountain Strtigraphic Layers  

DOE Green Energy (OSTI)

The heat generated from the radioactive waste to be placed in the proposed geologic repository at Yucca Mountain, Nevada, will affect the thermal-hydrology of the Yucca Mountain stratigraphic layers. In order to assess the effect of the movement of repository heat into the fractured rocks accurate determination of thermodynamic and hydraulic properties is important. Heat capacity is one of the properties that are required to evaluate energy storage in the fractured rock. Rock-grain heat capacity, the subject of this study, is the heat capacity of the solid part of the rock. Yucca Mountain consists of alternating lithostratigraphic units of welded and non-welded ash-flow tuff, mainly rhyolitic in composition and displaying varying degrees of vitrification and alteration. A number of methods exist that can be used to evaluate heat capacity of the stratigraphic layers that consist of different compositions. In this study, the mineral summation method has been used to quantify the heat capacity of the stratigraphic layers based on Kopp's rule. The mineral summation method is an addition of the weighted heat capacity of each mineral found in a specific layer. For this study the weighting was done based on the mass percentage of each mineral in the layer. The method utilized a mineralogic map of the rocks at the Yucca Mountain repository site. The Calico Hills formation and adjacent bedded tuff layers display a bimodal mineral distribution of vitric and zeolitic zones with differing mineralogies. Based on this bimodal distribution in zeolite abundance, the boundary between the vitric and zeolitic zones was selected to be 15% zeolitic abundance. Thus, based on the zeolite abundance, subdivisions have been introduced to these layers into ''vitric'' and ''zeolitic'' zones. Heat capacity values have been calculated for these layers both as ''layer average'' and ''zone average''. The heat capacity determination method presented in this report did not account for spatial variability in the horizontal direction within each layer.

T. Hadgu; C. Lum; J.E. Bean

2006-06-20T23:59:59.000Z

215

? Capacity-based design [Preliminary for Part 2] 2. Energy Harvesting Networks Transmission Completion Time Minimization for single link  

E-Print Network (OSTI)

Transmission Completion Time Minimization for single link w / finite battery Extension to fading channels Transmission policies with inefficient energy storage IEEE ICC 2013, Budapest, Hungary 6/9/2013 Goals ? Energy Efficiency (EE): What it meant last decade; what it means today ? From a communication network design perspective what should we care about for energy efficient design of cellular/conventional wireless networks? (greenish) rechargeable/energy harvesting networks? (green) ? Communication with energy harvesting nodes Green, self-sufficient nodes with extended network lifetime Relatively new field with increasing interest IEEE ICC 2013, Budapest, Hungary 6/9/2013 Prerequisites for the Tutorial

Aylin Yener; Short Term; Throughput Maximization

2013-01-01T23:59:59.000Z

216

COMMUNITY CAPACITY BUILDING THROUGH TECHNOLOGY  

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

COMMUNITY CAPACITY BUILDING THROUGH TECHNOLOGY COMMUNITY CAPACITY BUILDING THROUGH TECHNOLOGY Empowering Communities in the Age of E-Government Prepared by Melinda Downing, Environmental Justice Program Manager, U.S. Department of Energy MAR 06 MARCH 2006 Since 1999, the Department of Energy has worked with the National Urban Internet and others to create community capacity through technology.  Empowering Communities in the Age of E-Government Table of Contents Message from the Environmental Justice Program Manager . . . . . . . . 3 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Partnerships. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Process Chart: From Agency to Community. . . . . . . . . . . . . . . . . . . 7 Case Studies. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

217

US Department of Energy interim mixed waste inventory report: Waste streams, treatment capacities and technologies: Volume 4, Site specific---Ohio through South Carolina  

SciTech Connect

The Department of Energy (DOE) has prepared this report to provide an inventory of its mixed wastes and treatment capacities and technologies in response to Section 105(a) of the Federal Facility Compliance Act (FFCAct) of 1992 (Pub. L. No. 102-386). As required by the FFCAct-1992, this report provides site-specific information on DOE`s mixed waste streams and a general review of available and planned treatment facilities for mixed wastes at the following five Ohio facilities: Battelle Columbus Laboratories; Fernald Environmental Management Project; Mound Plant; Portsmouth Gaseous Diffusion Plant; and RMI, Titanium Company.

1993-04-01T23:59:59.000Z

218

High Capacity Immobilized Amine Sorbents  

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

Capacity Immobilized Amine Sorbents Capacity Immobilized Amine Sorbents Opportunity The Department of Energy's National Energy Technology Laboratory is seeking licensing partners interested in implementing United States Patent Number 7,288,136 entitled "High Capacity Immobilized Amine Sorbents." Disclosed in this patent is the invention of a method that facilitates the production of low-cost carbon dioxide (CO 2 ) sorbents for use in large-scale gas-solid processes. This method treats an amine to increase the number of secondary amine groups and impregnates the amine in a porous solid support. As a result of this improvement, the method increases CO 2 capture capacity and decreases the cost of using an amine-enriched solid sorbent in CO 2 capture systems. Overview The U.S. Department of Energy has placed a high priority on the separation

219

A Heat Capacity Estimator for Fourier Path Integral Simulations  

E-Print Network (OSTI)

Previous heat capacity estimators useful in path integral simulations have variances that grow with the number of path variables included. In the present work a new specific heat estimator for Fourier path integral Monte Carlo simulations is derived using methods similar to those used in developing virial energy estimators. The resulting heat capacity estimator has a variance that is roughly independent of the number of Fourier coe#cients (k max ) included, and the asymptotic convergence rate is shown to be proportional to 1/k 2 max when partial averaging is included. Quantum Monte Carlo simulations are presented to test the estimator using two one-dimensional models and for Lennard-Jones representations of Ne 13 . For finite kmax , using numerical methods, the calculated heat capacity is found to diverge at low temperatures for the potential functions studied in this work. Extrapolation methods enable useful results to be determined over a wide temperature range. Typeset using REVT...

J. P. Neirotti; David L. Freeman; J. D. Doll

1999-01-01T23:59:59.000Z

220

Changing World Product Markets and Potential Refining Capacity ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Asia Demand growth, product mix, trade Price Signals for Capacity Changes Capacity ... 150 AZ Clean Fuels FCC/RCC Coking ...

Note: This page contains sample records for the topic "average energy capacity" 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

EIA - Reference Case Projections for Electricity Capacity and...  

Gasoline and Diesel Fuel Update (EIA)

for Electricity Capacity and Generation by Fuel (2003-2030) International Energy Outlook 2006 Reference Case Projections for Electricity Capacity and Generation by Fuel Data Tables...

222

Natural gas, renewables dominate electric capacity additions in ...  

U.S. Energy Information Administration (EIA)

Of the ten states with the highest levels of capacity additions, most of the new capacity uses natural gas or renewable energy sources.

223

FAQs about Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

about Storage Capacity about Storage Capacity How do I determine if my tanks are in operation or idle or non-reportable? Refer to the following flowchart. Should idle capacity be included with working capacity? No, only report working capacity of tanks and caverns in operation, but not for idle tanks and caverns. Should working capacity match net available shell in operation/total net available shell capacity? Working capacity should be less than net available shell capacity because working capacity excludes contingency space and tank bottoms. What is the difference between net available shell capacity in operation and total net available shell capacity? Net available shell capacity in operation excludes capacity of idle tanks and caverns. What do you mean by transshipment tanks?

224

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 report, Staff Forecast: Retail Electricity Prices, 2005 to 2018, was prepared with contributions from the technical assistance provided by Greg Broeking of R.W. Beck, Inc. in preparing retail price forecasts

225

Measuring wind plant capacity value  

DOE Green Energy (OSTI)

Electric utility planners and wind energy researchers pose a common question: What is the capacity value of a wind plant? Tentative answers, which can be phrased in a variety of ways, are based on widely varying definitions and methods of calculation. From the utility`s point of view, a resource that has no capacity value also has a reduced economic value. Utility planners must be able to quantify the capacity value of a wind plant so that investment in conventional generating capacity can be potentially offset by the capacity value of the wind plant. Utility operations personnel must schedule its conventional resources to ensure adequate generation to meet load. Given a choice between two resources, one that can be counted on and the other that can`t, the utility will avoid the risky resource. This choice will be reflected in the price that the utility will pay for the capacity: higher capacity credits result in higher payments. This issue is therefore also important to the other side of the power purchase transaction -- the wind plant developer. Both the utility and the developer must accurately assess the capacity value of wind. This article summarizes and evaluates some common methods of evaluating capacity credit. During the new era of utility deregulation in the United States, it is clear that many changes will occur in both utility planning and operations. However, it is my judgement that the evaluation of capacity credit for wind plants will continue to play an important part in renewable energy development in the future.

Milligan, M.R.

1996-01-01T23:59:59.000Z

226

U.S. Electric Net Summer Capacity, 2004 - 2008 | OpenEI  

Open Energy Info (EERE)

Net Summer Capacity, 2004 - 2008 Net Summer Capacity, 2004 - 2008 Dataset Summary Description Provides total annual net electric summer capacity (in megawatts) for the United States, broken down by renewable energy source (e.g. biomass, solar thermal/pv) and the nonrenewable total. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords biomass Electric Capacity geothermal PV solar thermal Summer wind Data application/vnd.ms-excel icon 2008_Net.Summer.Elec_.Capacity_EIA.Aug_.2010.xls (xls, 11.8 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually Time Period 2004 - 2008 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

227

Average Residential Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Area: 2007 2008 2009 2010 2011 2012 View History; District of Columbia: 15.67: 16.49: 13.92: 13.53: 13.06: NA: 1980-2012: Florida: 20.61: 21.07: 20.18: 17.89: 18.16 ...

228

Average Residential Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

229

Average Residential Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated electric ... Gas volumes delivered for vehicle fuel are included in the State monthly totals from January 2011 ...

230

Average Commercial Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

231

Laser Fusion Energy The High Average Power  

E-Print Network (OSTI)

Government labs, 9 Universities, 13 Industries Government Labs 1. NRL 2. LLNL 3. SNL 4. LANL 5. ORNL 6. PPPL. UNC Industry 1. General Atomics 2. Titan/PSD 3. Schafer Corp 4. SAIC 5. Commonwealth Technology 6

232

Grid-Averaged Surface Fluxes  

Science Conference Proceedings (OSTI)

This study examines the inadequacies of formulations for surface fluxes for use in numerical models of atmospheric flow. The difficulty is that numerical models imply spatial averaging over each grid area. Existing formulations am based on the ...

L. Mahrt

1987-08-01T23:59:59.000Z

233

High average power pockels cell  

DOE Patents (OSTI)

A high average power pockels cell is disclosed which reduces the effect of thermally induced strains in high average power laser technology. The pockels cell includes an elongated, substantially rectangular crystalline structure formed from a KDP-type material to eliminate shear strains. The X- and Y-axes are oriented substantially perpendicular to the edges of the crystal cross-section and to the C-axis direction of propagation to eliminate shear strains.

Daly, Thomas P. (Pleasanton, CA)

1991-01-01T23:59:59.000Z

234

Transportation Energy Futures Series: Alternative Fuel Infrastructure Expansion: Costs, Resources, Production Capacity, and Retail Availability for Low-Carbon Scenarios  

DOE Green Energy (OSTI)

Achieving the Department of Energy target of an 80% reduction in greenhouse gas emissions by 2050 depends on transportation-related strategies combining technology innovation, market adoption, and changes in consumer behavior. This study examines expanding low-carbon transportation fuel infrastructure to achieve deep GHG emissions reductions, with an emphasis on fuel production facilities and retail components serving light-duty vehicles. Three distinct low-carbon fuel supply scenarios are examined: Portfolio: Successful deployment of a range of advanced vehicle and fuel technologies; Combustion: Market dominance by hybridized internal combustion engine vehicles fueled by advanced biofuels and natural gas; Electrification: Market dominance by electric drive vehicles in the LDV sector, including battery electric, plug-in hybrid, and fuel cell vehicles, that are fueled by low-carbon electricity and hydrogen. A range of possible low-carbon fuel demand outcomes are explored in terms of the scale and scope of infrastructure expansion requirements and evaluated based on fuel costs, energy resource utilization, fuel production infrastructure expansion, and retail infrastructure expansion for LDVs. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency project initiated to pinpoint underexplored transportation-related strategies for abating GHGs and reducing petroleum dependence.

Melaina, M. W.; Heath, G.; Sandor, D.; Steward, D.; Vimmerstedt, L.; Warner, E.; Webster, K. W.

2013-04-01T23:59:59.000Z

235

electricity generating capacity | OpenEI  

Open Energy Info (EERE)

generating capacity generating capacity Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity generating capacity datasets: annual operational electricity generation capacity by plant type (1975 - 2009); estimated generating capacity by fuel type for North Island, South Island and New Zealand (2009); and information on generating plants (plant type, name, owner, commissioned date, and capacity), as of December 2009. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords biomass coal Electric Capacity electricity generating capacity geothermal Hydro Natural Gas wind Data application/vnd.ms-excel icon Operational Electricity Generation Capacity by Plant Type (xls, 42.5 KiB)

236

Chapter 5. Retail Sales, Revenue, and Average Retail Price of ...  

U.S. Energy Information Administration (EIA)

106 U.S. Energy Information Administration/Electric Power Monthly June 2012 Chapter 5. Retail Sales, Revenue, and Average Retail Price of Electricity

237

Comparison of Productive Capacity  

U.S. Energy Information Administration (EIA)

Appendix B Comparison of Productive Capacity Comparisons of base case productive capacities for this and all previous studies were made (Figure B1).

238

Tables - Refinery Capacity Report  

U.S. Energy Information Administration (EIA)

Tables: 1: Number and Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2009: PDF: 2: Production Capacity of Operable ...

239

Core Measure Average KTR Results  

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

Measure Measure Average KTR Results FY 12 Target FY 12 DOE M&O CONTRACTOR (KTR) BSC RESULTS FY 2012 Customer Perspective and level of communication provided by the procurement office 95 92 Internal Business Perspective: Assessment (%) of the degree to which the purchasing system is in compliance with stakeholder requirements 97 Local Goals % Delivery on-time (includes JIT, excludes Purchase Cards) 88 84 % of total dollars obligated, on actions > $150K , that were awarded using effective competition 73 Local Goals Rapid Purchasing Techniques: -% of transactions placed by users 77 Local Goals -% of transactions placed through electronic commerce 62 Local Goals Average Cycle Time: -Average cycle time for <= $150K 8 6 to 9 days

240

Information-Theoretic Analysis of an Energy Harvesting Communication System  

E-Print Network (OSTI)

In energy harvesting communication systems, an exogenous recharge process supplies energy for the data transmission and arriving energy can be buffered in a battery before consumption. Transmission is interrupted if there is not sufficient energy. We address communication with such random energy arrivals in an information-theoretic setting. Based on the classical additive white Gaussian noise (AWGN) channel model, we study the coding problem with random energy arrivals at the transmitter. We show that the capacity of the AWGN channel with stochastic energy arrivals is equal to the capacity with an average power constraint equal to the average recharge rate. We provide two different capacity achieving schemes: {\\it save-and-transmit} and {\\it best-effort-transmit}. Next, we consider the case where energy arrivals have time-varying average in a larger time scale. We derive the optimal offline power allocation for maximum average throughput and provide an algorithm that finds the optimal power allocation.

Ozel, Omur

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average energy capacity" 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

Information Leakage via Electromagnetic Emanation and Effectiveness of Averaging Technique  

Science Conference Proceedings (OSTI)

It is well known that there is relationship between electromagnetic emanation and processing information in IT devices such as personal computers and smart cards. In this paper, we show how to estimate amount of information that is leaked as electromagnetic ... Keywords: Tempest, Channel capacity, electromagnetic emanation, averaging technique

Hidema Tanaka

2008-04-01T23:59:59.000Z

242

EEI/DOE Transmission Capacity Report  

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

TRANSMISSION CAPACITY: TRANSMISSION CAPACITY: PRESENT STATUS AND FUTURE PROSPECTS Eric Hirst Consulting in Electric-Industry Restructuring Bellingham, Washington June 2004 Prepared for Energy Delivery Group Edison Electric Institute Washington, DC Russell Tucker, Project Manager and Office of Electric Transmission and Distribution U.S. Department of Energy Washington, DC Larry Mansueti, Project Manager ii iii CONTENTS Page SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v LIST OF ACRONYMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2. TRANSMISSION CAPACITY: DATA AND PROJECTIONS . . . . . . . . . . . . . . . . . . . 5 HISTORICAL DATA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 CURRENT CONDITIONS . . . . . . .

243

West Texas Intermediate Spot Average ............................  

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

Crude Oil (dollars per barrel) Crude Oil (dollars per barrel) West Texas Intermediate Spot Average ............................ 102.88 93.42 92.24 87.96 94.34 94.10 105.84 96.30 95.67 95.33 95.67 93.33 94.12 97.64 95.00 Brent Spot Average ........................................................... 118.49 108.42 109.61 110.09 112.49 102.58 110.27 108.29 106.33 105.00 103.00 102.00 111.65 108.41 104.08 Imported Average .............................................................. 108.14 101.18 97.18 97.64 98.71 97.39 103.07 100.03 99.64 99.33 99.69 97.35 101.09 99.85 99.04 Refiner Average Acquisition Cost ...................................... 107.61 101.44 97.38 97.27 101.14 99.45 105.24 100.44 100.15 99.82 100.18 97.83 100.83 101.61 99.50 Liquid Fuels (cents per gallon) Refiner Prices for Resale Gasoline .........................................................................

244

OpenEI - Electric Capacity  

Open Energy Info (EERE)

New Zealand Energy New Zealand Energy Outlook (2010): Electricity and Generation Capacity http://en.openei.org/datasets/node/357 The New Zealand Ministry of Economic Development publishes an annual Energy Outlook, which presents projections of New Zealand's future energy supply, demand, prices and greenhouse gas emissions. The principle aim of these projections is to inform the national energy debate. Included here are the model results for electricity and generation capacity. The spreadsheet provides an interactive tool for selecting which model results to view, and which scenarios to evaluate; full model results for each scenario are also included.

License

245

Capacity withholding in the Electricity Pool.  

E-Print Network (OSTI)

Electricity generators can raise the price of power by withholding their plant from the market. We discuss two ways in which this could have affected prices in the England and Wales Pool. Withholding low-cost capacity which should be generating will raise energy prices but make the pattern of generation less efficient. This pattern improved significantly after privatisation. Withholding capacity that was not expected to generate would raise the Capacity Payments based on spare capacity. On a multi-year basis, these did not usually exceed competitive levels, the cost of keeping stations open. The evidence for large-scale capacity withholding is weak. Keywords: JEL:

Richard Green; Richard Green

2004-01-01T23:59:59.000Z

246

HIGH AVERAGE POWER OPTICAL FEL AMPLIFIERS.  

SciTech Connect

Historically, the first demonstration of the optical FEL was in an amplifier configuration at Stanford University [l]. There were other notable instances of amplifying a seed laser, such as the LLNL PALADIN amplifier [2] and the BNL ATF High-Gain Harmonic Generation FEL [3]. However, for the most part FELs are operated as oscillators or self amplified spontaneous emission devices. Yet, in wavelength regimes where a conventional laser seed can be used, the FEL can be used as an amplifier. One promising application is for very high average power generation, for instance FEL's with average power of 100 kW or more. The high electron beam power, high brightness and high efficiency that can be achieved with photoinjectors and superconducting Energy Recovery Linacs (ERL) combine well with the high-gain FEL amplifier to produce unprecedented average power FELs. This combination has a number of advantages. In particular, we show that for a given FEL power, an FEL amplifier can introduce lower energy spread in the beam as compared to a traditional oscillator. This properly gives the ERL based FEL amplifier a great wall-plug to optical power efficiency advantage. The optics for an amplifier is simple and compact. In addition to the general features of the high average power FEL amplifier, we will look at a 100 kW class FEL amplifier is being designed to operate on the 0.5 ampere Energy Recovery Linac which is under construction at Brookhaven National Laboratory's Collider-Accelerator Department.

BEN-ZVI, ILAN, DAYRAN, D.; LITVINENKO, V.

2005-08-21T23:59:59.000Z

247

Network Routing Capacity  

E-Print Network (OSTI)

We define the routing capacity of a network to be the supremum of all possible fractional message throughputs achievable by routing. We prove that the routing capacity of every network is achievable and rational, we present an algorithm for its computation, and we prove that every non-negative rational number is the routing capacity of some network. We also determine the routing capacity for various example networks. Finally, we discuss the extension of routing capacity to fractional coding solutions and show that the coding capacity of a network is independent of the alphabet used.

Jillian Cannons; Randall Dougherty; Christopher Freiling; Kenneth Zeger

2005-01-01T23:59:59.000Z

248

Capacity Value of Wind Power  

Science Conference Proceedings (OSTI)

Power systems are planned such that they have adequate generation capacity to meet the load, according to a defined reliability target. The increase in the penetration of wind generation in recent years has led to a number of challenges for the planning and operation of power systems. A key metric for system adequacy is the capacity value of generation. The capacity value of a generator is the contribution that a given generator makes to overall system adequacy. The variable and stochastic nature of wind sets it apart from conventional energy sources. As a result, the modeling of wind generation in the same manner as conventional generation for capacity value calculations is inappropriate. In this paper a preferred method for calculation of the capacity value of wind is described and a discussion of the pertinent issues surrounding it is given. Approximate methods for the calculation are also described with their limitations highlighted. The outcome of recent wind capacity value analyses in Europe and North America are highlighted with a description of open research questions also given.

Keane, Andrew; Milligan, Michael; Dent, Chris; Hasche, Bernhard; DAnnunzio, Claudine; Dragoon, Ken; Holttinen, Hannele; Samaan, Nader A.; Soder, Lennart; O'Malley, Mark J.

2011-05-04T23:59:59.000Z

249

wind power capacity | OpenEI  

Open Energy Info (EERE)

capacity capacity Dataset Summary Description These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (United States) as processed for use in the IMAGE model. The high resolution datasets were produced by the National Renewable Energy Laboratory (United States), Risø DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data repr Source National Renewable Energy Laboratory Date Released Unknown Date Updated Unknown Keywords area capacity clean energy international

250

IAEA Planning and Economic Studies Section (PESS) Capacity Building | Open  

Open Energy Info (EERE)

IAEA Planning and Economic Studies Section (PESS) Capacity Building IAEA Planning and Economic Studies Section (PESS) Capacity Building Jump to: navigation, search Tool Summary Name: IAEA Planning and Economic Studies Section (PESS) Capacity Building Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Focus Area: Non-renewable Energy, Energy Efficiency, Renewable Energy Topics: Pathways analysis Resource Type: Software/modeling tools, Training materials References: IAEA PESS capacity building[1] Logo: IAEA Planning and Economic Studies Section (PESS) Capacity Building "PESS offers assistance to Member States, particularly from developing regions, to improve their energy system analysis & planning capabilities. Assistance can include: transferring modern planning methods, tools and databanks

251

Variable Average Absolute Percent Differences  

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

Variable Variable Average Absolute Percent Differences Percent of Projections Over- Estimated Gross Domestic Product Real Gross Domestic Product (Average Cumulative Growth)* (Table 2) 1.0 42.6 Petroleum Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a) 35.2 18.6 Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b) 34.7 19.7 Total Petroleum Consumption (Table 4) 6.2 66.5 Crude Oil Production (Table 5) 6.0 59.6 Petroleum Net Imports (Table 6) 13.3 67.0 Natural Gas Natural Gas Wellhead Prices (Constant $) (Table 7a) 30.7 26.1 Natural Gas Wellhead Prices (Nominal $) (Table 7b) 30.0 27.1 Total Natural Gas Consumption (Table 8) 7.8 70.2 Natural Gas Production (Table 9) 7.1 66.0 Natural Gas Net Imports (Table 10) 29.3 69.7 Coal Coal Prices to Electric Generating Plants (Constant $)** (Table 11a)

252

ORISE: Capacity Building  

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

Capacity Building Capacity Building Because public health agencies must maintain the resources to respond to public health challenges, critical situations and emergencies, the Oak Ridge Institute for Science and Education (ORISE) helps government agencies and organizations develop a solid infrastructure through capacity building. Capacity building refers to activities that improve an organization's ability to achieve its mission or a person's ability do his or her job more effectively. For organizations, capacity building may relate to almost any aspect of its work-from leadership and administration to program development and implementation. Strengthening an organizational infrastructure can help agencies and community-based organizations more quickly identify targeted audiences for

253

Table F9. World installed geothermal generating capacity by region ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration | International Energy Outlook 2011 259 Reference case projections for electricity capacity and generation by fuel

254

New natural gas pipeline capacity adds service into Florida ...  

U.S. Energy Information Administration (EIA)

Source: U.S. Energy Information Administration based on BENTEK Energy, LLC Note: Daily natural gas flow data and daily pipeline capacity derived from Florida's Gas ...

255

Quantum capacity of channel with thermal noise  

E-Print Network (OSTI)

The quantum capacity of thermal noise channel is studied. The extremal input state is obtained at the postulation that the coherent information is convex or concave at its vicinity. When the input energy tends to infinitive, it is verified by perturbation theory that the coherent information reaches its maximum at the product of identical thermal state input. The quantum capacity is obtained for lower noise channel and it is equal the one shot capacity.

Xiao-yu Chen

2006-02-11T23:59:59.000Z

256

Building Regulatory Capacity for Change  

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

Regulatory Capacity for Regulatory Capacity for Change PRESENTED BY Sarah Spencer-Workman, LEED AP July 27, 2011 "How to identify and review laws relevant to buildings and find places and opportunities that can accept changes that would support building energy objectives" Presentation Highlights Rulemaking Community and Stakeholder Identification To Support Code Changes Engagement: Building Capacity for Change Pay It Forward RULEMAKING : Plan Development and Research of Laws Relevant to Buildings How is it conducted? 'Landscape' Review Key words or phrases to look for Identify "home rule" jurisdictions Update and review cycle built in 'Landscape' Review:

257

Determining the Capacity Value of Wind: An Updated Survey of Methods and Implementation; Preprint  

DOE Green Energy (OSTI)

This paper summarizes state and regional studies examining the capacity value of wind energy, how different regions define and implement capacity reserve requirements, and how wind energy is defined as a capacity resource in those regions.

Milligan, M.; Porter, K.

2008-06-01T23:59:59.000Z

258

Handbook of solar energy data for south-facing surfaces in the United States. Volume III. Average hourly and total daily insolation data for 235 localities (North Carolina - Wyoming)  

DOE Green Energy (OSTI)

Average hourly and daily total insolation estimates are given for 235 US sites at a variety of array tilt angles. (MHR)

Smith, J.H.

1980-01-15T23:59:59.000Z

259

Dynamic Capacity Investment with Two Competing Technologies  

Science Conference Proceedings (OSTI)

With the recent focus on sustainability, firms making adjustments to their production or distribution capacity levels often have the option of investing in newer technologies with lower carbon footprints and/or energy consumption. These more sustainable ... Keywords: dynamic capacity investment, sustainable operations, technology choice

Wenbin Wang, Mark E. Ferguson, Shanshan Hu, Gilvan C. Souza

2013-10-01T23:59:59.000Z

260

Natural Gas Underground Storage Capacity (Summary)  

Gasoline and Diesel Fuel Update (EIA)

Salt Caverns Storage Capacity Aquifers Storage Capacity Depleted Fields Storage Capacity Total Working Gas Capacity Working Gas Capacity of Salt Caverns Working Gas Capacity of...

Note: This page contains sample records for the topic "average energy capacity" 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

Increasing State Capacity Through Clans  

E-Print Network (OSTI)

their role in increasing state capacity With the decline ofhere focus on state capacity and the associated discussionselements of state capacity during the transition from one

Doyle, Jr, Thomas Martin

2009-01-01T23:59:59.000Z

262

Solar: monthly and annual average global horizontal irradiance...  

Open Energy Info (EERE)

b>
Global Horizontal Irradiance
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

263

Solar: monthly and annual average direct normal irradiance GIS...  

Open Energy Info (EERE)

>
Direct Normal Irradiance (kWhm2day)
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

264

Capacity Markets for Electricity  

E-Print Network (OSTI)

Designing Markets for Electricity. Wiley IEEE Press. [25]in the England and Wales Electricity Market, Power WorkingFelder (1996), Should Electricity Markets Have a Capacity

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

265

ORISE: Capacity Building  

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

Capacity Building Because public health agencies must maintain the resources to respond to public health challenges, critical situations and emergencies, the Oak Ridge Institute...

266

Capacity on Finsler Spaces  

E-Print Network (OSTI)

Here, the concept of electric capacity on Finsler spaces is introduced and the fundamental conformal invariant property is proved, i.e. the capacity of a compact set on a connected non-compact Finsler manifold is conformal invariant. This work enables mathematicians and theoretical physicists to become more familiar with the global Finsler geometry and one of its new applications.

Bidabad, B

2009-01-01T23:59:59.000Z

267

Liquid heat capacity lasers  

DOE Patents (OSTI)

The heat capacity laser concept is extended to systems in which the heat capacity lasing media is a liquid. The laser active liquid is circulated from a reservoir (where the bulk of the media and hence waste heat resides) through a channel so configured for both optical pumping of the media for gain and for light amplification from the resulting gain.

Comaskey, Brian J. (Walnut Creek, CA); Scheibner, Karl F. (Tracy, CA); Ault, Earl R. (Livermore, CA)

2007-05-01T23:59:59.000Z

268

Battery capacity indicator  

SciTech Connect

This patent describes a battery capacity indicator for providing a continuous indication of battery capacity for a battery powered device. It comprises means for periodically effecting a first and a second positive discharge rate of the battery; voltage measurement means, for measuring the battery terminal voltage at the first and second positive discharge rates during the operation of the device, and for generating a differential battery voltage value in response thereto; memory means for storing a set of predetermined differential battery voltage values and a set of predetermined battery capacity values, each of the set of predetermined differential battery voltage values defining one of the set of predetermined battery capacity values; comparison means, coupled to the memory means and to the voltage measurement means, for comparing the measured differential battery voltage values with the set of predetermined differential battery voltage values, and for selecting the predetermined battery capacity value corresponding thereto.

Kunznicki, W.J.

1991-07-16T23:59:59.000Z

269

China Energy Databook - Rev. 4  

E-Print Network (OSTI)

1993 National Renewable Energy Production Capacities, End of11-32. National Renewable Energy Production Capacities, End

Sinton Editor, J.E.

2010-01-01T23:59:59.000Z

270

Geographic Gossip: Efficient Averaging for Sensor Networks  

E-Print Network (OSTI)

Gossip algorithms for distributed computation are attractive due to their simplicity, distributed nature, and robustness in noisy and uncertain environments. However, using standard gossip algorithms can lead to a significant waste in energy by repeatedly recirculating redundant information. For realistic sensor network model topologies like grids and random geometric graphs, the inefficiency of gossip schemes is related to the slow mixing times of random walks on the communication graph. We propose and analyze an alternative gossiping scheme that exploits geographic information. By utilizing geographic routing combined with a simple resampling method, we demonstrate substantial gains over previously proposed gossip protocols. For regular graphs such as the ring or grid, our algorithm improves standard gossip by factors of $n$ and $\\sqrt{n}$ respectively. For the more challenging case of random geometric graphs, our algorithm computes the true average to accuracy $\\epsilon$ using $O(\\frac{n^{1.5}}{\\sqrt{\\log ...

Dimakis, Alexandros G; Wainwright, Martin J

2007-01-01T23:59:59.000Z

271

EIA - Natural Gas Pipeline Network - Pipeline Capacity and Utilization  

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

Pipeline Utilization & Capacity Pipeline Utilization & Capacity About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Pipeline Capacity & Utilization Overview | Utilization Rates | Integration of Storage | Varying Rates of Utilization | Measures of Utilization Overview of Pipeline Utilization Natural gas pipeline companies prefer to operate their systems as close to full capacity as possible to maximize their revenues. However, the average utilization rate (flow relative to design capacity) of a natural gas pipeline system seldom reaches 100%. Factors that contribute to outages include: Scheduled or unscheduled maintenance Temporary decreases in market demand Weather-related limitations to operations

272

Lateral Capacity Exchange and Its Impact on Capacity Investment Decisions  

E-Print Network (OSTI)

We study the problem of capacity exchange between two rms in anticipation of the mismatch between demand and capacity and its impact on rms capacity investment decisions. For given capacity investment levels of the two rms, we demonstrate how capacity price may be determined and how much capacity should be exchanged when either manufacturer acts as a Stackelberg leader in the capacity exchange game. By benchmarking against the centralized system, we show that a side payment may be used to coordinate the capacity exchange decisions. We then study the rmscapacity investment decisions using a biform game framework in which capacity investment decisions are made individually and exchange decisions are made as in a centralized system. We demonstrate the existence and uniqueness of the Nash equilibrium capacity investment levels and study the impact of rmsshare of the capacity exchange surplus on their capacity investment levels.

Amiya K. Chakravartyz; Jun Zhangy

2005-01-01T23:59:59.000Z

273

Capacity Markets for Electricity  

E-Print Network (OSTI)

Global Agenda, August 15. [6] FERC, Docket No. EL01-63-003,at http://www.pjm.com. [7] FERC, Docket No. ER01-1440-capacity of the others (FERC, 2001). Therefore, if an LSE

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

274

Refinery Capacity Report 2007  

Reports and Publications (EIA)

Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; current and projected capacities for atmospheric crude oil distillation, downstream charge, production, and storage capacities. Respondents are operators of all operating and idle petroleum refineries (including new refineries under construction) and refineries shut down during the previous year, located in the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, and other U.S. possessions.

Information Center

2007-06-29T23:59:59.000Z

275

Refinery Capacity Report 2009  

Reports and Publications (EIA)

Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; current and projected capacities for atmospheric crude oil distillation, downstream charge, production, and storage capacities. Respondents are operators of all operating and idle petroleum refineries (including new refineries under construction) and refineries shut down during the previous year, located in the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, and other U.S. possessions.

Information Center

2009-06-25T23:59:59.000Z

276

Refinery Capacity Report 2008  

Reports and Publications (EIA)

Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; current and projected capacities for atmospheric crude oil distillation, downstream charge, production, and storage capacities. Respondents are operators of all operating and idle petroleum refineries (including new refineries under construction) and refineries shut down during the previous year, located in the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, and other U.S. possessions.

Information Center

2008-06-20T23:59:59.000Z

277

Forward capacity market CONEfusion  

Science Conference Proceedings (OSTI)

In ISO New England and PJM it was assumed that sponsors of new capacity projects would offer them into the newly established forward centralized capacity markets at prices based on their levelized net cost of new entry, or ''Net CONE.'' But the FCCMs have not operated in the way their proponents had expected. To clear up the CONEfusion, FCCM designs should be reconsidered to adapt them to the changing circumstances and to be grounded in realistic expectations of market conduct. (author)

Wilson, James F.

2010-11-15T23:59:59.000Z

278

EIA - Appendix H - Reference Case Projections for Electricity Capacity and  

Gasoline and Diesel Fuel Update (EIA)

for Electricity Capacity and Generation by Fuel Tables (2006-2030) for Electricity Capacity and Generation by Fuel Tables (2006-2030) International Energy Outlook 2009 Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2006-2030) Formats Data Table Titles (1 to 18 complete) Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table H1 World Total Installed Generating Capacity by Region and Country Table H1. World Total Installed Generating Capacity by Region and Country. Need help, contact the National Energy Information Center at 202-586-8800.

279

EIA - Appendix H - Reference Case Projections for Electricity Capacity and  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2005-2030) Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2005-2030) International Energy Outlook 2008 Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2005-2030) Formats Data Table Titles (1 to 12 complete) Reference Case Projections for Electricity Capacity and Generation by Fuel Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections for Electricity Capacity and Generation by Fuel Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table H1 World Total Installed Generating Capacity by Region and Country Table H1. World Total Installed Generating Capacity by Region and Country. Need help, contact the National Energy Information Center at 202-586-8800.

280

EIA - Appendix H - Reference Case Projections for Electricity Capacity and  

Gasoline and Diesel Fuel Update (EIA)

for Electricity Capacity and Generation by Fuel Tables (2007-2035) for Electricity Capacity and Generation by Fuel Tables (2007-2035) International Energy Outlook 2010 Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2007-2035) Formats Data Table Titles (1 to 18 complete) Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Appendix H. Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table H1 World Total Installed Generating Capacity by Region and Country Table H1. World Total Installed Generating Capacity by Region and Country. Need help, contact the National Energy Information Center at 202-586-8800.

Note: This page contains sample records for the topic "average energy capacity" 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

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

East Asia from NREL East Asia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

282

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Africa from NREL Africa from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

283

annual average heating degree days | OpenEI  

Open Energy Info (EERE)

average heating degree days average heating degree days Dataset Summary Description (Abstract): Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/ Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords annual average heating degree days climate GIS NASA SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.7 MiB)

284

Capacity Markets for Electricity  

E-Print Network (OSTI)

the prevailing PJM energy market price. The demand in thethe prevailing national energy market price. Last, suppliersraising the national energy market price cap P up to f, in

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

285

Optimal Energy Storage Control Policies for the Smart Power Grid  

E-Print Network (OSTI)

Optimal Energy Storage Control Policies for the Smart Power Grid Iordanis Koutsopoulos Vassiliki is to devise an energy storage control policy that minimizes long-term average grid operational cost. The cost the stored energy. We prove that the policy is asymptotically optimal as the storage capacity becomes large

Koutsopoulos, Iordanis

286

Determination of Undercooled Liquid Heat Capacities by Levitation ...  

Science Conference Proceedings (OSTI)

Presentation Title, Determination of Undercooled Liquid Heat Capacities by ... for the US Department of Energy by Iowa State University under Contract No.

287

High Capacity Lithium-Ion Battery Characterization for Vehicular Applications.  

E-Print Network (OSTI)

?? A lithium-ion battery is one of the key research topics in energy storage technologies. Major characterization tests such as static capacity, open circuit voltage (more)

Ahmed, Sazzad Hossain

2012-01-01T23:59:59.000Z

288

Oil Production Capacity Expansion Costs for the Persian Gulf  

U.S. Energy Information Administration (EIA)

DOE/EIA-TR/0606 Distribution Category UC-950 Oil Production Capacity Expansion Costs For The Persian Gulf January 1996 Energy Information Administration

289

Summary of Industry Surveys on Future Capacity Commitments  

U.S. Energy Information Administration (EIA)

Energy Information Administration Natural Gas 1996: Issues and Trends 141 Appendix C Summary of Industry Surveys on Future Capacity Commitments Table C1.

290

Natural Gas Productive Capacity for the Lower-48 States  

U.S. Energy Information Administration (EIA)

An analysis report from the Energy Information Administration which estimates the increases in natural gas productive capacity which should be expected in 2001, given ...

291

Capacity Definitions for General Channels with Receiver Side Information  

E-Print Network (OSTI)

We consider three capacity definitions for general channels with channel side information at the receiver, where the channel is modeled as a sequence of finite dimensional conditional distributions not necessarily stationary, ergodic, or information stable. The {\\em Shannon capacity} is the highest rate asymptotically achievable with arbitrarily small error probability. The {\\em capacity versus outage} is the highest rate asymptotically achievable with a given probability of decoder-recognized outage. The {\\em expected capacity} is the highest average rate asymptotically achievable with a single encoder and multiple decoders, where the channel side information determines the decoder in use. As a special case of channel codes for expected rate, the code for capacity versus outage has two decoders: one operates in the non-outage states and decodes all transmitted information, and the other operates in the outage states and decodes nothing. Expected capacity equals Shannon capacity for channels governed by a sta...

Effros, Michelle; Liang, Yifan

2008-01-01T23:59:59.000Z

292

Dual capacity reciprocating compressor  

DOE Patents (OSTI)

A multi-cylinder compressor particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor rotation is provided with an eccentric cam on a crank pin under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180[degree] apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons whose connecting rods ride on a crank pin without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation. 6 figs.

Wolfe, R.W.

1984-10-30T23:59:59.000Z

293

Dual capacity reciprocating compressor  

DOE Patents (OSTI)

A multi-cylinder compressor 10 particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor 16 rotation is provided with an eccentric cam 38 on a crank pin 34 under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180.degree. apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons 24 whose connecting rods 30 ride on a crank pin 36 without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation.

Wolfe, Robert W. (Wilkinsburg, PA)

1984-01-01T23:59:59.000Z

294

Refinery Capacity Report  

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

Refinery Capacity Report Refinery Capacity Report With Data as of January 1, 2013 | Release Date: June 21, 2013 | Next Release Date: June 20, 2014 Previous Issues Year: 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1997 1995 1994 Go Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; and current and projected atmospheric crude oil distillation, downstream charge, and production capacities. Respondents are operators of all operating and idle petroleum refineries (including new refineries under construction) and refineries shut down during the previous year, located in the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, and other U.S. possessions.

295

Microstructural effects on capacity-rate performance of vanadium oxide cathodes in lithium-ion batteries  

E-Print Network (OSTI)

Vanadium oxide thin film cathodes were analyzed to determine whether smaller average grain size and/or a narrower average grain size distribution affects the capacity-rate performance in lithium-ion batteries. Vanadium ...

Davis, Robin M. (Robin Manes)

2005-01-01T23:59:59.000Z

296

Enhancement of specific heat capacity of high-temperature silica-nanofluids synthesized in alkali chloride salt eutectics for solar thermal-energy  

E-Print Network (OSTI)

chloride salt eutectics for solar thermal-energy storage applications Donghyun Shin, Debjyoti Banerjee solution, resulting in degradation of the thermal properties. Solar energy conversion to electricity is achieved primarily by using (a) photovoltaic technology, or (b) by harnessing solar thermal-energy

Banerjee, Debjyoti

297

Optimization Online - String-Averaging Projected Subgradient ...  

E-Print Network (OSTI)

Aug 29, 2013 ... Optimization Online. String-Averaging Projected Subgradient Methods for Constrained Minimization. Yair Censor(yair ***at*** math.haifa.ac.il)

298

Average Stock Levels: Crude Market & Propane  

U.S. Energy Information Administration (EIA)

This graph shows that propane was not alone in experiencing excess supply in 1998 and extraordinary stock builds. Note that the graph shows average stock levels ...

299

EIA - State Electricity Profiles - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... Demand, capacity resources, and capacity margins;

300

Capacity Markets for Electricity  

E-Print Network (OSTI)

or to increase the energy price-cap in order to avoid thei.e. K + ? ? 1. A3 : The foreign energy price is higherthan the national energy price-cap, i.e. f > P. If recalled,

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average energy capacity" 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

Dynamic Multiscale Averaging (DMA) of Turbulent Flow  

SciTech Connect

A new approach called dynamic multiscale averaging (DMA) for computing the effects of turbulent flow is described. The new method encompasses multiple applications of temporal and spatial averaging, that is, multiscale operations. Initially, a direct numerical simulation (DNS) is performed for a relatively short time; it is envisioned that this short time should be long enough to capture several fluctuating time periods of the smallest scales. The flow field variables are subject to running time averaging during the DNS. After the relatively short time, the time-averaged variables are volume averaged onto a coarser grid. Both time and volume averaging of the describing equations generate correlations in the averaged equations. These correlations are computed from the flow field and added as source terms to the computation on the next coarser mesh. They represent coupling between the two adjacent scales. Since they are computed directly from first principles, there is no modeling involved. However, there is approximation involved in the coupling correlations as the flow field has been computed for only a relatively short time. After the time and spatial averaging operations are applied at a given stage, new computations are performed on the next coarser mesh using a larger time step. The process continues until the coarsest scale needed is reached. New correlations are created for each averaging procedure. The number of averaging operations needed is expected to be problem dependent. The new DMA approach is applied to a relatively low Reynolds number flow in a square duct segment. Time-averaged stream-wise velocity and vorticity contours from the DMA approach appear to be very similar to a full DNS for a similar flow reported in the literature. Expected symmetry for the final results is produced for the DMA method. The results obtained indicate that DMA holds significant potential in being able to accurately compute turbulent flow without modeling for practical engineering applications.

Richard W. Johnson

2012-09-01T23:59:59.000Z

302

Quantum Zero-error Capacity  

E-Print Network (OSTI)

We define here a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel. The necessary requirement for which a quantum channel has zero-error capacity greater than zero is given. Finally, we point out some directions on how to calculate the zero-error capacity of such channels.

Rex A. C. Medeiros; Francisco M. De Assis

2006-11-08T23:59:59.000Z

303

Bayesian curve estimation by model averaging  

Science Conference Proceedings (OSTI)

A Bayesian approach is used to estimate a nonparametric regression model. The main features of the procedure are, first, the functional form of the curve is approximated by a mixture of local polynomials by Bayesian model averaging (BMA), second, the ... Keywords: BIC criterion, Bayesian model averaging, Local polynomial regression, Nonparametric curve fitting, Robustness

Daniel Pea; Dolores Redondas

2006-02-01T23:59:59.000Z

304

Load Capacity of Bodies  

E-Print Network (OSTI)

For the stress analysis in a plastic body $\\Omega$, we prove that there exists a maximal positive number $C$, the \\emph{load capacity ratio,} such that the body will not collapse under any external traction field $t$ bounded by $Y_{0}C$, where $Y_0$ is the elastic limit. The load capacity ratio depends only on the geometry of the body and is given by $$ \\frac{1}{C}=\\sup_{w\\in LD(\\Omega)_D} \\frac{\\int_{\\partial\\Omega}|w|dA} {\\int_{\\Omega}|\\epsilon(w)|dV}=\\left\\|\\gamma_D\\right\\|. $$ Here, $LD(\\Omega)_D$ is the space of isochoric vector fields $w$ for which the corresponding stretchings $\\epsilon(w)$ are assumed to be integrable and $\\gamma_D$ is the trace mapping assigning the boundary value $\\gamma_D(w)$ to any $w\\in LD(\\Omega)_D$.

Reuven Segev

2005-11-01T23:59:59.000Z

305

Refinery Capacity Report  

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

1 1 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels per Atmospheric Crude Oil Distillation Capacity Idle Operating Total Operable Refineries Number of State and PAD District a b b 14 10 4 1,617,500 1,205,000 412,500 1,708,500 1,273,500 435,000 ............................................................................................................................................... PAD District I 1 0 1 182,200 0 182,200 190,200 0 190,200 ................................................................................................................................................................................................................................................................................................ Delaware......................................

306

U.S. Fuel Ethanol Plant Production Capacity  

Gasoline and Diesel Fuel Update (EIA)

U.S. Fuel Ethanol Plant Production Capacity U.S. Fuel Ethanol Plant Production Capacity Release Date: May 20, 2013 | Next Release Date: May 2014 Previous Issues Year: 2013 2012 2011 Go Notice: Changes to Petroleum Supply Survey Forms for 2013 This is the third release of U.S. Energy Information Administration data on fuel ethanol production capacity. EIA first reported fuel ethanol production capacities as of January 1, 2011 on November 29, 2011. This new report contains production capacity data for all operating U.S. fuel ethanol production plants as of January 1, 2013. U.S. Nameplate Fuel Ethanol Plant Production Capacity as of January 1, 2013 PAD District Number of Plants 2013 Nameplate Capacity 2012 Nameplate Capacity (MMgal/year) (mb/d) (MMgal/year) (mb/d) PADD 1 4 360 23 316 21

307

Working and Net Available Shell Storage Capacity  

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

Working and Net Available Shell Working and Net Available Shell Storage Capacity November 2013 With Data as of September 30, 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Working and Net Available Shell Storage Capacity as of September 30, 2013 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or

308

Total Natural Gas Underground Storage Capacity  

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

Capacity Working Gas Capacity of Salt Caverns Working Gas Capacity of Aquifers Working Gas Capacity of Depleted Fields Total Number of Existing Fields Number of Existing Salt...

309

Using Radial Basis Functions to Approximate Battery Differential Capacity and Differential Voltage  

Science Conference Proceedings (OSTI)

As part of the Department of Energys Applied Battery Research Program, lithium-ion cells of various sizes and chemistries are aged with periodic reference performance tests to ascertain degradation rates. The reference tests included a very slow discharge and charge based on a constant current equal to 1/25th of the rated capacity to elucidate the true electrochemical capacity of the cell. A differential analysis of these data helps to identify the individual kinetic and thermodynamic contributions of the anode and cathode. However, differential curves are very noisy, and previous smoothing methods included simple data reduction and moving averages. This paper introduces an alternative method of finding the differential voltage and differential capacity curves based on radial basis functions. The voltage profile is fit with a number of Gaussian curves, and the resulting model is differentiated. This approach also has the added advantage of assessing model uncertainty based on a bootstrap analysis. The radial basis function method was successfully applied to various lithium-ion chemistries tested under the Applied Battery Research Program. The resulting differential capacity and differential voltage curves were generally smoother than the corresponding curves found by previous methods and also showed little variance, indicating a good model fit. These results imply that the radial basis function technique is a more robust tool for assessing differential data.

Jon P. Christophersen; Steven R. Shaw

2010-02-01T23:59:59.000Z

310

Heat capacity and compactness of denatured proteins  

E-Print Network (OSTI)

One of the striking results of protein thermodynamics is that the heat capacity change upon denaturation is large and positive. This change is generally ascribed to the exposure of non-polar groups to water on denaturation, in analogy to the large heat capacity change for the transfer of small non-polar molecules from hydrocarbons to water. Calculations of the heat capacity based on the exposed surface area of the completely unfolded denatured state give good agreement with experimental data. This result is difficult to reconcile with evidence that the heat denatured state in the absence of denaturants is reasonably compact. In this work, sample conformations for the denatured state of truncated CI2 are obtained by use of an effective energy function for proteins in solution. The energy function gives denatured conformations that are compact with radii of gyration that are slightly larger than that of the native state. The model is used to estimate the heat capacity, as well as that of the native state, at 300 and 350 K via finite enthalpy differences. The calculations show that the heat capacity of denaturation can have large positive contributions from non-covalent intraprotein interactions because these interactions change more with temperature in non-native conformations than in the native state. Including this contribution, which has been neglected in empirical surface area models, leads to heat capacities of unfolding for compact denatured states that are consistent with the experimental heat capacity data. Estimates of the stability curve of CI2 made with the effective energy function support the present model. # 1999 Elsevier Science B.V. All rights reserved.

Themis Lazaridis; Martin Karplus

1999-01-01T23:59:59.000Z

311

High average power diode pumped solid state lasers for CALIOPE  

Science Conference Proceedings (OSTI)

Diode pumping of solid state media offers the opportunity for very low maintenance, high efficiency, and compact laser systems. For remote sensing, such lasers may be used to pump tunable non-linear sources, or if tunable themselves, act directly or through harmonic crystals as the probe. The needs of long range remote sensing missions require laser performance in the several watts to kilowatts range. At these power performance levels, more advanced thermal management technologies are required for the diode pumps. The solid state laser design must now address a variety of issues arising from the thermal loads, including fracture limits, induced lensing and aberrations, induced birefringence, and laser cavity optical component performance degradation with average power loading. In order to highlight the design trade-offs involved in addressing the above issues, a variety of existing average power laser systems are briefly described. Included are two systems based on Spectra Diode Laboratory`s water impingement cooled diode packages: a two times diffraction limited, 200 watt average power, 200 Hz multi-rod laser/amplifier by Fibertek, and TRW`s 100 watt, 100 Hz, phase conjugated amplifier. The authors also present two laser systems built at Lawrence Livermore National Laboratory (LLNL) based on their more aggressive diode bar cooling package, which uses microchannel cooler technology capable of 100% duty factor operation. They then present the design of LLNL`s first generation OPO pump laser for remote sensing. This system is specified to run at 100 Hz, 20 nsec pulses each with 300 mJ, less than two times diffraction limited, and with a stable single longitudinal mode. The performance of the first testbed version will be presented. The authors conclude with directions their group is pursuing to advance average power lasers. This includes average power electro-optics, low heat load lasing media, and heat capacity lasers.

Comaskey, B.; Halpin, J.; Moran, B.

1994-07-01T23:59:59.000Z

312

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

South America from NREL South America from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

313

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Central America and the Carribean from NREL Central America and the Carribean from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

314

Lagged Average Predictions in a Predictability Experiment  

Science Conference Proceedings (OSTI)

Lagged average predictions are examined here within the context of an idealized predictability experiment. Lagged predictions contribute to making better forecasts than the forecasts obtained from using only the latest initial state. Analytic ...

John O. Roads

1988-01-01T23:59:59.000Z

315

Probabilistic Visibility Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical postprocessing technique that has been used in probabilistic weather forecasting to calibrate forecast ensembles and generate predictive probability density functions (PDFs) for weather quantities. ...

Richard M. Chmielecki; Adrian E. Raftery

2011-05-01T23:59:59.000Z

316

The Shape of Averaged Drop Size Distributions  

Science Conference Proceedings (OSTI)

The shape of averaged drop size distributions (DSD) is studied from a large sample of data (892 h) collected at several sites of various latitudes. The results show that neither the hypothesis of an exponential distribution to represent rainfall ...

Henri Sauvageot; Jean-Pierre Lacaux

1995-04-01T23:59:59.000Z

317

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (  

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

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" ,,"Choke","Average","Average","Fluid","Methanol","Water","Oil","Gas","Hyd. Eq.","Gas" ,"Choke","Setting","Upstream","Upstream","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery" "Date and Time","Setting","Duration","Pressure","Temp.","Rate","Rate","Rate","Rate","Rate","Rate","Portion" "dd-mmm-yy","(64ths)","(hours)","(psia)","(degF)","(bfpd)","(bfpd)","(bwpd)","(bopd)","(mmcfpd)","(boepd)","(%)"

318

A high average power pockels cell  

DOE Patents (OSTI)

A high average power pockels cell is disclosed which reduced the effect of thermally induced strains in high average power laser technology. The pockels cell includes an elongated, substantially rectangular crystalline structure formed from a KDP-type material to eliminate shear strains. The X- and Y-axes are oriented substantially perpendicular to the edges of the crystal cross-section and to the C-axis direction of propagation to eliminate shear strains.

Daly, T.P.

1986-02-10T23:59:59.000Z

319

Average transmission probability of a random stack  

E-Print Network (OSTI)

The transmission through a stack of identical slabs that are separated by gaps with random widths is usually treated by calculating the average of the logarithm of the transmission probability. We show how to calculate the average of the transmission probability itself with the aid of a recurrence relation and derive analytical upper and lower bounds. The upper bound, when used as an approximation for the transmission probability, is unreasonably good and we conjecture that it is asymptotically exact.

Yin Lu; Christian Miniatura; Berthold-Georg Englert

2009-07-31T23:59:59.000Z

320

Capacities associated with scalar signed Riesz kernels, and analytic capacity  

E-Print Network (OSTI)

The real and imaginari parts of the Cauchy kernel in the plane are scalar Riesz kernels of homogeneity -1. One can associate with each of them a natural notion of capacity related to bounded potentials. The main result of the paper asserts that these capacities are comparable to classical analytic capacity, thus stressing the real variables nature of analytic capacity. Higher dimensional versions of this result are also considered.

Mateu, Joan; Verdera, Joan

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average energy capacity" 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

Capacity Value of Wind Power - Summary  

Science Conference Proceedings (OSTI)

Power systems are planned such that they have adequate generation capacity to meet the load, according to a defined reliability target. The increase in the penetration of wind generation in recent years has led to a number of challenges for the planning and operation of power systems. A key metric for generation system adequacy is the capacity value of generation. The capacity value of a generator is the contribution that a given generator makes to generation system aequacy. The variable and stochastic nature of wind sets it apart from conventional energy sources. As a result, the modeling of wind generation in the same manner as conventional generation for capacity value calculations is inappropriate. In this paper a preferred method for calculation of the capacity value of wind is described and a discussion of the pertinent issues surrounding it is given. Approximate methods for the calculation are also described with their limitations highlighted. The outcome of recent wind capacity value analyses in Europe and North America, along with some new analysis, are highlighted with a discussion of relevant issues also given.

O'Malley, M.; Milligan, M.; Holttinen, H.; Dent, C.; Keane, A.

2010-01-01T23:59:59.000Z

322

Pushing Capacity Payments Forward: Agent-Based Simulation of Available Capacity Markets  

Science Conference Proceedings (OSTI)

This study demonstrates that agent-based simulation is a useful tool for analyzing existing and proposed design features of electricity markets. The study documents not only how this technology functions, but how it can be used. Experiments using computer-based agents were used to simulate the effects of capacity markets on energy markets, and the project takes a particularly close look at the proposed Available Capacity (ACAP) market of the California independent system operator (CA-ISO). These agents p...

2003-11-07T23:59:59.000Z

323

Table 35. Average Price of Natural Gas Delivered to U.S ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration / Historical Natural Gas Annual 1930 Through 2000 353 35. Average Price of Natural Gas Delivered to U.S. Electric ...

324

Estimating Averaging Times for Point and Path-Averaged Measurements of Turbulence Spectra  

Science Conference Proceedings (OSTI)

Uncertainty over how long to average turbulence variables to achieve some desired level of statistical stability is a common concern in boundary-layer meteorology. Several models exist that predict averaging times for measurements of variances ...

Edgar L. Andreas

1988-03-01T23:59:59.000Z

325

Multipath Channels of Unbounded Capacity  

E-Print Network (OSTI)

The capacity of discrete-time, noncoherent, multipath fading channels is considered. It is shown that if the variances of the path gains decay faster than exponentially, then capacity is unbounded in the transmit power.

Koch, Tobias

2008-01-01T23:59:59.000Z

326

Capacity Markets for Electricity  

E-Print Network (OSTI)

of their forecasted peak demand. The so- called Installedbut not enough to satisfy peak demand in the national energybe enough to satisfy peak demand in the national energy

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

327

Heat capacities of elastic solids  

E-Print Network (OSTI)

The work function is embedded in the equation describing the relationship between the constant volume and constant pressure heat capacities. The modification of the work function results that the relationship between these quantities must be changed accordingly. Using the newly derived work functions of elastic solids the description of the heat capacities and the relationship between the heat capacities are given for solid phase.

Garai, J

2005-01-01T23:59:59.000Z

328

On Quantum Capacity of Compound Channels  

E-Print Network (OSTI)

In this paper we address the issue of universal or robust communication over quantum channels. Specifically, we consider memoryless communication scenario with channel uncertainty which is an analog of compound channel in classical information theory. We determine the quantum capacity of finite compound channels and arbitrary compound channels with informed decoder. Our approach in the finite case is based on the observation that perfect channel knowledge at the decoder does not increase the capacity of finite quantum compound channels. As a consequence we obtain coding theorem for finite quantum averaged channels, the simplest class of channels with long-term memory. The extension of these results to quantum compound channels with uninformed encoder and decoder, and infinitely many constituents remains an open problem.

I. Bjelakovic; H. Boche; J. Noetzel

2008-08-07T23:59:59.000Z

329

An Assessment of Railway Capacity  

E-Print Network (OSTI)

In this paper, we review the main concepts and methods to perform capacity analyses, and we present an automated tool that is able to perform several capacity analyses. Capacity is extremely dependent on infrastructure, traffic, and operating parameters. Therefore, an in-depth study of the main factors that influence railway capacity is performed on several Spanish railway infrastructures. The results show how the capacity varies according to factors such as train speed, commercial stops, train heterogeneity, distance between railway signals, and timetable robustness.

M. Abril; F. Barber; A L. Ingolotti; A M. A. Salido; P. Tormos; B A. Lova

2007-01-01T23:59:59.000Z

330

Heat capacity of a two-component superfluid Fermi gas  

E-Print Network (OSTI)

We investigate mean-field effects in two- component trapped Fermi gases in the superfluid phase, in the vicinity of s-wave Feshbach resonances. Within the resonance superfluidity approach (Holland et al., 2001) we calculate the ground state energy and the heat capacity as function of temperature. Heat capacity is analyzed for different trap aspect ratios. We find that trap anisotropy is an important factor in determining both the value of heat capacity near the transition temperature and the transition temperature itself.

Alexander V. Avdeenkov

2003-09-25T23:59:59.000Z

331

World average top-quark mass  

SciTech Connect

This paper summarizes a talk given at the Top2008 Workshop at La Biodola, Isola d Elba, Italy. The status of the world average top-quark mass is discussed. Some comments about the challanges facing the experiments in order to further improve the precision are offered.

Glenzinski, D.; /Fermilab

2008-01-01T23:59:59.000Z

332

Exact bounds for average pairwise network reliability  

Science Conference Proceedings (OSTI)

Several methods for finding exact bounds of average pairwise network connectivity (APNC) are proposed. These methods allows faster decision making about if a network is reliable for its purpose. Previous results on cumulitive updating of all-terminal ... Keywords: algorithm, network reliability, pairwise connectivity

Alexey Rodionov; Olga Rodionova

2013-01-01T23:59:59.000Z

333

Entangling capacity with local ancilla  

E-Print Network (OSTI)

We investigate the entangling capacity of a dynamical operation with access to local ancilla. A comparison is made between the entangling capacity with and without the assistance of prior entanglement. An analytic solution is found for the log-negativity entangling capacity of two-qubit gates, which equals the entanglement of the Choi matrix isomorphic to the unitary operator. Surprisingly, the availability of prior entanglement does not affect this result; a property we call resource independence of the entangling capacity. We prove several useful upper-bounds on the entangling capacity that hold for general qudit dynamical operations, and for a whole family of entanglement measures including log-negativity and log-robustness. The log-robustness entangling capacity is shown to be resource independent for general dynamics. We provide numerical results supporting a conjecture that the log-negativity entangling capacity is resource independence for all two-qudit unitaries.

Campbell, Earl T

2010-01-01T23:59:59.000Z

334

Outlook for World Energy Markets  

U.S. Energy Information Administration (EIA)

Natural disasters Electric reliability concerns Refining capacity outages ... Our average response time is within three business days. (202) ...

335

Sources Of Average Individual Radiation Exposure  

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

Of Average Individual Radiation Exposure Of Average Individual Radiation Exposure Natural background Medical Consumer products Industrial, security, educational and research Occupational 0.311 rem 0.300 rem 0.013 rem 0.0003 rem 0.0005 rem Savannah River Nuclear Solutions, LLC, provides radiological protection services and oversight at the Savannah River Site (SRS). These services include radiation dose measurements for persons who enter areas where they may be exposed to radiation or radioactive material. The results are periodically reported to monitored individuals. The results listed are based on a radiation dose system developed by the International Commission on Radiation Protection. The system uses the terms "effective dose," "equivalent dose" and units of rem. You may be more familiar with the term "millirem" (mrem), which is 1/1000 of a rem.

336

Fat turnover in obese slower than average  

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

9-04 9-04 For immediate release: 09/23/2011 | NR-11-09-04 Fat turnover in obese slower than average Anne M Stark, LLNL, (925) 422-9799, stark8@llnl.gov Printer-friendly This scanning electron micrograph image shows part of a lobule of adipose tissue (body fat). Adipose tissue is specialized connective tissue that functions as the major storage site for fat. Photo courtesy of David Gregory & Debbie Marshall/Wellcome Images LIVERMORE, Calif. -- It may be more difficult for obese people to lose fat because the "turnover" rate is much slower for those overweight than average weight individuals. New research in the Sept. 25 online edition of the journal Nature shows that the turnover (storage and loss rate) of fat in the human body is about 1 1/2 years compared to fat cells, which turnover about every 10 years,

337

Natural Gas Prices: Well Above Recent Averages  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: The recent surge in spot prices at the Henry Hub are well above a typical range for 1998-1999 (in this context, defined as the average, +/- 2 standard deviations). Past price surges have been of short duration. The possibility of a downward price adjustment before the end of next winter is a source of considerable risk for storage operators who acquire gas at recent elevated prices. Storage levels in the Lower 48 States were 7.5 percent below the 5-year average (1995-1999) by mid-August (August 11), although the differential is only 6.4 percent in the East, which depends most heavily on storage to meet peak demand. Low storage levels are attributable, at least in part, to poor price incentives: high current prices combined with only small price

338

Tribal Energy Program | Department of Energy  

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

Energy Program Tribal Energy Program The Office of Indian Energy is developing new capacity building initiatives to support Tribes in their energy development efforts. The Office...

339

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATION PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

340

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATION PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

UTILITY FOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

Note: This page contains sample records for the topic "average energy capacity" 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

Decentralized capacity management and internal pricing  

E-Print Network (OSTI)

Press. Goex, R. (2002). Capacity planning and pricing undermanufacturing on innovation, capacity and pro?tability.Mieghem, V. J. (2003). Capacity management, investment and

Dutta, Sunil; Reichelstein, Stefan

2010-01-01T23:59:59.000Z

342

Capacity consideration of wireless ad hoc networks  

E-Print Network (OSTI)

Capacity ProblemCurrent Research on Capacity of Wireless Ad HocChapter 3 Upper Bound on the Capacity of Wireless Ad Hoc

Tan, Yusong

2008-01-01T23:59:59.000Z

343

Are there capacity limitations in symmetry perception?  

E-Print Network (OSTI)

1980). The demonstration of capacity limitation. Cognitive1972). Visual processing capacity and attentional control.J. (1996). Goodness of CAPACITY LIMIT OF SYMMETRY PERCEPTION

Huang, L Q; Pashler, Harold; Junge, J A

2004-01-01T23:59:59.000Z

344

The Ergodic Capacity of Interference Networks  

E-Print Network (OSTI)

A. Jafar, The ergodic capacity of interference networks,Gupta and P. R. Kumar, The capacity of wireless networks,cooperation achieves optimal capacity scaling in ad hoc

Jafar, Syed A

2010-01-01T23:59:59.000Z

345

Mapping Individual Variations in Learning Capacity  

E-Print Network (OSTI)

in working memory capacity. Integrative Physiological andVariations in Learning Capacity Eduardo Mercado IIIdifferences in learning capacity are evident in humans and

Mercado III, Eduardo

2011-01-01T23:59:59.000Z

346

Adaptive capacity and its assessment  

SciTech Connect

This paper reviews the concept of adaptive capacity and various approaches to assessing it, particularly with respect to climate variability and change. I find that adaptive capacity is a relatively under-researched topic within the sustainability science and global change communities, particularly since it is uniquely positioned to improve linkages between vulnerability and resilience research. I identify opportunities for advancing the measurement and characterization of adaptive capacity by combining insights from both vulnerability and resilience frameworks, and I suggest several assessment approaches for possible future development that draw from both frameworks and focus on analyzing the governance, institutions, and management that have helped foster adaptive capacity in light of recent climatic events.

Engle, Nathan L.

2011-04-20T23:59:59.000Z

347

Quantum capacity under adversarial quantum noise: arbitrarily varying quantum channels  

E-Print Network (OSTI)

We investigate entanglement transmission over an unknown channel in the presence of a third party (called the adversary), which is enabled to choose the channel from a given set of memoryless but non-stationary channels without informing the legitimate sender and receiver about the particular choice that he made. This channel model is called arbitrarily varying quantum channel (AVQC). We derive a quantum version of Ahlswede's dichotomy for classical arbitrarily varying channels. This includes a regularized formula for the common randomness-assisted capacity for entanglement transmission of an AVQC. Quite surprisingly and in contrast to the classical analog of the problem involving the maximal and average error probability, we find that the capacity for entanglement transmission of an AVQC always equals its strong subspace transmission capacity. These results are accompanied by different notions of symmetrizability (zero-capacity conditions) as well as by conditions for an AVQC to have a capacity described by a single-letter formula. In he final part of the paper the capacity of the erasure-AVQC is computed and some light shed on the connection between AVQCs and zero-error capacities. Additionally, we show by entirely elementary and operational arguments motivated by the theory of AVQCs that the quantum, classical, and entanglement-assisted zero-error capacities of quantum channels are generically zero and are discontinuous at every positivity point.

Rudolf Ahlswede; Igor Bjelakovic; Holger Boche; Janis Noetzel

2010-10-03T23:59:59.000Z

348

Table 8. Average Price of U.S. Coal Exports  

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

Average Price of U.S. Coal Exports Average Price of U.S. Coal Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 8. Average Price of U.S. Coal Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Destination April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 78.29 77.25 102.62 77.88 105.14 -25.9 Canada* 81.61 80.70 110.67 81.30 112.16 -27.5 Dominican Republic 78.54 75.09 73.89 75.77 76.61 -1.1 Honduras - 54.58 54.43 54.58 54.43 0.3 Jamaica 480.00 54.43 - 54.72 55.42 -1.3 Mexico 73.45 75.81 94.36 74.35 100.95 -26.3 Other** 80.33 389.30 70.37 82.45 76.10 8.3 South America Total 107.72 108.02 149.99 107.88

349

Table 17. Average Price of U.S. Coke Exports  

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

Average Price of U.S. Coke Exports Average Price of U.S. Coke Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 17. Average Price of U.S. Coke Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Destination April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 240.59 241.38 218.40 240.85 225.80 6.7 Canada* 147.49 330.47 243.04 183.08 286.56 -36.1 Mexico 316.57 211.63 189.12 273.97 171.71 59.6 Other** 612.42 485.63 134.48 525.92 135.04 289.5 South America Total 140.65 156.15 322.70 148.29 250.36 -40.8 Other** 140.65 156.15 322.70 148.29 250.36 -40.8 Europe Total 259.26 255.24 - 257.06 427.83 -39.9 Other**

350

Table 22. Average Price of U.S. Coke Imports  

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

Average Price of U.S. Coke Imports Average Price of U.S. Coke Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 22. Average Price of U.S. Coke Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Origin April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 263.21 252.66 353.05 261.29 356.01 -26.6 Canada 263.51 252.66 353.05 258.82 356.01 -27.3 Panama 263.09 - - 263.09 - - South America Total 196.86 194.14 175.88 195.94 181.01 8.2 Brazil - - 157.60 - 157.60 - Colombia 196.86 194.14 322.06 195.94 246.68 -20.6 Europe Total 181.55 232.13 385.65 225.53 384.96 -41.4 Czech Republic - 475.91 - 475.91 - - Spain 360.51

351

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. ... Total Renewable Electricity Installed Capacity ... Bosnia and Herzegovina 2.411 ...

352

Capacity Requirements to Support Inter-Balancing Area Wind Delivery  

DOE Green Energy (OSTI)

Paper examines the capacity requirements that arise as wind generation is integrated into the power system and how those requirements change depending on where the wind energy is delivered.

Kirby, B.; Milligan, M.

2009-07-01T23:59:59.000Z

353

"Table A42. Average Prices of Purchased Energy Sources by...  

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

Nonutility(c)","Total","from Utility(b)","from Nonutility(c)","Total","Total","Anthracite","Coal","Lignite","Coal Coke","Breeze","Petroleum Coke","Waste","from...

354

"Table A40. Average Prices of Selected Purchased Energy Sources...  

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

"SIC"," "," ","Residual","Distillate"," "," "," ","Row" "Code(a)","Industry Group and Industry","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","LPG","Coal","Factors"...

355

Average Weekly Propane Spot Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Propane spot prices at the major trading hubs remained relatively close through the fall of 2000, even as they were pushed higher by rapidly rising natural gas prices.

356

Average Weekly Propane Spot Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Propane spot prices at the major trading hubs remained relatively close through October 2000, but uncoupled in California as natural gas prices rose rapidly during ...

357

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

Electricity. Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, ... Trade and Reliability; All Reports See All Electricity Reports

358

Solar Photovoltaic Capacity F t P f d P li  

E-Print Network (OSTI)

6/19/2013 1 Solar Photovoltaic ­ Capacity F t P f d P li Generating Resources Advisory Committee Advisor Model (SAM), version 2013.1.15 Technology: Solar PV (PVWatts system model)Technology: Solar PV Plant life: 25 years Weather data: Typical/representative of longterm averages; not one full historical

359

AEO2011: Electricity Generating Capacity | OpenEI  

Open Energy Info (EERE)

Generating Capacity Generating Capacity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 9, and contains only the reference case. The dataset uses gigawatts. The data is broken down into power only, combined heat and power, cumulative planned additions, cumulative unplanned conditions, and cumulative retirements and total electric power sector capacity . Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO capacity consumption EIA Electricity generating Data application/vnd.ms-excel icon AEO2011: Electricity Generating Capacity- Reference Case (xls, 130.1 KiB) Quality Metrics Level of Review Peer Reviewed

360

Average Price of Natural Gas Production  

Gasoline and Diesel Fuel Update (EIA)

. . Quantity and Average Price of Natural Gas Production in the United States, 1930-1996 (Volumes in Million Cubic Feet, Prices in Dollars per Thousand Cubic Feet) Table Year Gross Withdrawals Used for Repressuring Nonhydro- carbon Gases Removed Vented and Flared Marketed Production Extraction Loss Dry Production Average Wellhead Price of Marketed Production 1930 ....................... NA NA NA NA 1,978,911 75,140 1,903,771 0.08 1931 ....................... NA NA NA NA 1,721,902 62,288 1,659,614 0.07 1932 ....................... NA NA NA NA 1,593,798 51,816 1,541,982 0.06 1933 ....................... NA NA NA NA 1,596,673 48,280 1,548,393 0.06 1934 ....................... NA NA NA NA 1,815,796 52,190 1,763,606 0.06 1935 ....................... NA NA NA NA 1,968,963 55,488 1,913,475 0.06 1936 ....................... 2,691,512 73,507 NA 392,528 2,225,477

Note: This page contains sample records for the topic "average energy capacity" 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

Average values and dispersion (in parentheses)  

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

Average values and dispersion (in parentheses) Average values and dispersion (in parentheses) Base-pair Parameters --------------------------------------------------------------------------------------- Shear Stretch Stagger Buckle Propeller Opening 3DNA A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.77) -11.79(4.14) 0.57(2.80) B 0.00(0.21) -0.15(0.12) 0.09(0.19) 0.53(6.74) -11.35(5.26) 0.63(3.05) CEHS A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.75) -11.82(4.14) 0.56(2.78) B 0.00(0.21) -0.14(0.12) 0.09(0.19) 0.53(6.73) -11.37(5.27) 0.62(3.03) CompDNA A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.12(7.70) -11.81(4.14) 0.56(2.79) B 0.00(0.21) -0.15(0.12) 0.09(0.19) 0.53(6.70) -11.37(5.26) 0.62(3.03) Curves A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.85) -11.76(4.12) 0.57(2.80)

362

STEO January 2013 - average gasoline prices  

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

to fall to 3.44 this year and then drop to 3.34 in 2014, according to the new forecast from the U.S. Energy Information Administration. Expected lower crude oil...

363

Enhancing Capacity for Low Emission Development Strategies (EC-LEDS)  

Open Energy Info (EERE)

Enhancing Capacity for Low Emission Development Strategies Program Enhancing Capacity for Low Emission Development Strategies Program Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Energy, Land Topics Low emission development planning, -LEDS Program Start 2010 Program End 2014 Country Albania, Bangladesh, Cambodia, Colombia, Costa Rica, Gabon, Georgia, Guatemala, Indonesia, Jamaica, Kazakhstan, Kenya, Republic of Macedonia, Malawi, Malaysia, Mexico, Moldova, Peru, Philippines, Serbia, South Africa, Thailand, Ukraine, Vietnam, Zambia UN Region Southern Asia References Enhancing Capacity for Low Emission Development Strategies Program[1]

364

Battery Capacity Measurement And Analysis  

E-Print Network (OSTI)

In this paper, we look at different battery capacity models that have been introduced in the literatures. These models describe the battery capacity utilization based on how the battery is discharged by the circuits that consume power. In an attempt to validate these models, we characterize a commercially available lithium coin cell battery through careful measurements of the current and the voltage output of the battery under different load profile applied by a micro sensor node. In the result, we show how the capacity of the battery is affected by the different load profile and provide analysis on whether the conventional battery models are applicable in the real world. One of the most significant finding of our work will show that DC/DC converter plays a significant role in determining the battery capacity, and that the true capacity of the battery may only be found by careful measurements.

Using Lithium Coin; Sung Park; Andreas Savvides; Mani B. Srivastava

2001-01-01T23:59:59.000Z

365

Oil Production Capacity Expansion Costs for the Persian Gulf  

Gasoline and Diesel Fuel Update (EIA)

TR/0606 TR/0606 Distribution Category UC-950 Oil Production Capacity Expansion Costs For The Persian Gulf January 1996 Energy Information Administration Office of Oil and Gas U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Energy Information Administration Oil Production Capacity Expansion Costs for the Persian Gulf iii Preface Oil Production Capacity Expansion Costs for the Persian Gulf provides estimates of development and operating costs for various size fields in countries surrounding the Persian

366

Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging and Local Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

The authors introduce two ways to produce locally calibrated grid-based probabilistic forecasts of temperature. Both start from the Global Bayesian model averaging (Global BMA) statistical postprocessing method, which has constant predictive bias ...

William Kleiber; Adrian E. Raftery; Jeffrey Baars; Tilmann Gneiting; Clifford F. Mass; Eric Grimit

2011-08-01T23:59:59.000Z

367

Yearly average performance of the principal solar collector types  

DOE Green Energy (OSTI)

The results of hour-by-hour simulations for 26 meteorological stations are used to derive universal correlations for the yearly total energy that can be delivered by the principal solar collector types: flat plate, evacuated tubes, CPC, single- and dual-axis tracking collectors, and central receiver. The correlations are first- and second-order polynomials in yearly average insolation, latitude, and threshold (= heat loss/optical efficiency). With these correlations, the yearly collectible energy can be found by multiplying the coordinates of a single graph by the collector parameters, which reproduces the results of hour-by-hour simulations with an accuracy (rms error) of 2% for flat plates and 2% to 4% for concentrators. This method can be applied to collectors that operate year-around in such a way that no collected energy is discarded, including photovoltaic systems, solar-augmented industrial process heat systems, and solar thermal power systems. The method is also recommended for rating collectors of different type or manufacturer by yearly average performance, evaluating the effects of collector degradation, the benefits of collector cleaning, and the gains from collector improvements (due to enhanced optical efficiency or decreased heat loss per absorber surface). For most of these applications, the method is accurate enough to replace a system simulation.

Rabl, A.

1981-01-01T23:59:59.000Z

368

Environmental Energy Technologies Division Energy Analysis Department Community Wind Power  

E-Print Network (OSTI)

Environmental Energy Technologies Division · Energy Analysis Department Community Wind Power projects * standard US commercial wind development #12;Environmental Energy Technologies Division · Energy % Community- Owned Community- Owned Wind Capacity (MW) Total Wind Capacity (MW) #12;Environmental Energy

369

Long-term average performance benefits of parabolic trough improvements  

DOE Green Energy (OSTI)

Improved parabolic trough concentrating collectors will result from better design, improved fabrication techniques, and the development and utilization of improved materials. This analysis quantifies the relative merit of various technological advancements in improving the long-term average performance of parabolic trough concentrating collectors and presents them graphically as a function of operating temperature for north-south, east-west, and polar mounted parabolic troughs. Substantial annual energy gains (exceeding 50% at 350/sup 0/C) are shown to be attainable with improved parabolic troughs.

Gee, R.; Gaul, H.; Kearney, D.; Rabl, A.

1979-10-01T23:59:59.000Z

370

Refinery Capacity Report - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Respondents are operators of all operating and idle petroleum refineries ... Sources & Uses Petroleum Coal Natural Gas Renewable Nuclear Electricity Consumption

371

Underground Natural Gas Working Storage Capacity - Energy ...  

U.S. Energy Information Administration (EIA)

... (see Table 1), and why any given week's storage ... Demonstrated maximum working gas volume is the sum of the highest storage inventory levels of ...

372

Underground Natural Gas Working Storage Capacity - Energy ...  

U.S. Energy Information Administration (EIA)

Petroleum & Other Liquids. Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas

373

Underground Natural Gas Working Storage Capacity - Energy ...  

U.S. Energy Information Administration (EIA)

... Demonstrated maximum working gas volume is the sum of the highest storage inventory levels of working gas observed in each facility over the previous 5-year ...

374

Refinery Operable Capacity - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum ...

375

Total Working Gas Capacity - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Existing fields ...

376

Capacity Building in Wind Energy for PICs  

E-Print Network (OSTI)

of CO2 from fuel combustion · By contrast, the region is very vulnerable to severe weather events (biomass, hydro, and a bit of solar and wind). · Other half comes from imported oil, mainly dependency on petroleum are country specific but include wind, solar, small-scale hydro, biomass

377

Underground Natural Gas Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

. . Underground Natural Gas Storage Capacity by State, December 31, 1996 (Capacity in Billion Cubic Feet) Table State Interstate Companies Intrastate Companies Independent Companies Total Number of Active Fields Capacity Number of Active Fields Capacity Number of Active Fields Capacity Number of Active Fields Capacity Percent of U.S. Capacity Alabama................. 0 0 1 3 0 0 1 3 0.04 Arkansas ................ 0 0 3 32 0 0 3 32 0.40 California................ 0 0 10 470 0 0 10 470 5.89 Colorado ................ 4 66 5 34 0 0 9 100 1.25 Illinois ..................... 6 259 24 639 0 0 30 898 11.26 Indiana ................... 6 16 22 97 0 0 28 113 1.42 Iowa ....................... 4 270 0 0 0 0 4 270 3.39 Kansas ................... 16 279 2 6 0 0 18 285 3.57 Kentucky ................ 6 167 18 49 0 0 24 216 2.71 Louisiana................ 8 530 4 25 0 0 12 555 6.95 Maryland ................ 1 62

378

Indonesia-Strengthening Planning Capacity for Low Carbon Growth in  

Open Energy Info (EERE)

Indonesia-Strengthening Planning Capacity for Low Carbon Growth in Indonesia-Strengthening Planning Capacity for Low Carbon Growth in Developing Asia Jump to: navigation, search Name Indonesia-Strengthening Planning Capacity for Low Carbon Growth in Developing Asia Agency/Company /Organization Asian Development Bank Partner Japan, United Kingdom Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Greenhouse Gas, Grid Assessment and Integration, People and Policy, Transportation Topics Baseline projection, GHG inventory, Low emission development planning, Market analysis, Pathways analysis, Policies/deployment programs Program Start 2011 Program End 2013 Country Indonesia South-Eastern Asia References Strengthening Planning Capacity for Low Carbon Growth in Developing Asia[1]

379

Malaysia-Strengthening Planning Capacity for Low Carbon Growth in  

Open Energy Info (EERE)

Malaysia-Strengthening Planning Capacity for Low Carbon Growth in Malaysia-Strengthening Planning Capacity for Low Carbon Growth in Developing Asia Jump to: navigation, search Name Malaysia-Strengthening Planning Capacity for Low Carbon Growth in Developing Asia Agency/Company /Organization Asian Development Bank Partner Japan, United Kingdom Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Greenhouse Gas, Grid Assessment and Integration, People and Policy, Transportation Topics Baseline projection, GHG inventory, Low emission development planning, Market analysis, Pathways analysis, Policies/deployment programs Program Start 2011 Program End 2013 Country Malaysia South-Eastern Asia References Strengthening Planning Capacity for Low Carbon Growth in Developing Asia[1]

380

Philippines-Strengthening Planning Capacity for Low Carbon Growth in  

Open Energy Info (EERE)

Philippines-Strengthening Planning Capacity for Low Carbon Growth in Philippines-Strengthening Planning Capacity for Low Carbon Growth in Developing Asia Jump to: navigation, search Name Philippines-Strengthening Planning Capacity for Low Carbon Growth in Developing Asia Agency/Company /Organization Asian Development Bank Partner Japan, United Kingdom Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Greenhouse Gas, Grid Assessment and Integration, People and Policy, Transportation Topics Baseline projection, GHG inventory, Low emission development planning, Market analysis, Pathways analysis, Policies/deployment programs Program Start 2011 Program End 2013 Country Philippines South-Eastern Asia References Strengthening Planning Capacity for Low Carbon Growth in Developing Asia[1]

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


381

Strengthening Planning Capacity for Low Carbon Growth in Developing Asia  

Open Energy Info (EERE)

Strengthening Planning Capacity for Low Carbon Growth in Developing Asia Strengthening Planning Capacity for Low Carbon Growth in Developing Asia - Thailand Jump to: navigation, search Name Thailand-Strengthening Planning Capacity for Low Carbon Growth in Developing Asia Agency/Company /Organization Asian Development Bank Partner Japan, United Kingdom Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Greenhouse Gas, Grid Assessment and Integration, People and Policy, Transportation Topics Baseline projection, GHG inventory, Low emission development planning, Market analysis, Pathways analysis, Policies/deployment programs Program Start 2011 Program End 2013 Country Thailand South-Eastern Asia References Strengthening Planning Capacity for Low Carbon Growth in Developing Asia[1]

382

Dynamic Deferral of Workload for Capacity Provisioning in Data Centers  

E-Print Network (OSTI)

Recent increase in energy prices has led researchers to find better ways for capacity provisioning in data centers to reduce energy wastage due to the variation in workload. This paper explores the opportunity for cost saving and proposes a novel approach for capacity provisioning under bounded latency requirements for the workload. We investigate how many servers to be kept active and how much workload to be delayed for energy saving while meeting every deadline. We present an offline LP formulation for capacity provisioning by dynamic deferral and give two online algorithms to determine the capacity of the data center and the assignment of workload to servers dynamically. We prove the feasibility of the online algorithms and show that their worst case performance are bounded by a constant factor with respect to the offline formulation. We validate our algorithms on synthetic workload generated from two real HTTP traces and show that they actually perform much better in practice than the worst case, resultin...

Adnan, Muhammad Abdullah; Sugihara, Ryo; Gupta, Rajesh

2011-01-01T23:59:59.000Z

383

Enhancing Capacity for Low Emission Development Strategies (EC-LEDS):  

Open Energy Info (EERE)

Enhancing Capacity for Low Emission Development Strategies (EC-LEDS): Enhancing Capacity for Low Emission Development Strategies (EC-LEDS): Distributed Generation Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Enhancing Capacity for Low Emission Development Strategies (EC-LEDS): Distributed Generation Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Topics: Low emission development planning, -LEDS Resource Type: Webinar Website: eeredev.nrel.gov/_proofs/video/2013_EC-LEDS/ Cost: Free References: Enhancing Capacity for Low Emission Development Strategies (EC-LEDS): Distributed Generation[1] Overview A webinar on distributed generation, presented by the National Renewable Energy Laboratory, with funding from the U.S. Agency for International Development. This webinar covers the basics of distributed generation, with an emphasis

384

Colombia-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Colombia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Colombia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Focus Area Renewable Energy, Agriculture, Buildings, Energy Efficiency, Forestry, Transportation Topics Finance, GHG inventory, Implementation, Low emission development planning, -LEDS, -NAMA, Market analysis, Pathways analysis, Policies/deployment programs, Technology characterizations

385

Building Regulatory Capacity for Change  

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

Regulatory Capacity for Change PRESENTED BY Sarah Spencer-Workman, LEED AP July 27, 2011 "How to identify and review laws relevant to buildings and find places and opportunities...

386

Ultra-high hydrogen storage capacity of Li-decorated graphyne: A first-principles prediction  

SciTech Connect

Graphyne, consisting of sp- and sp{sup 2}-hybridized carbon atoms, is a new member of carbon allotropes which has a natural porous structure. Here, we report our first-principles calculations on the possibility of Li-decorated graphyne as a hydrogen storage medium. We predict that Li-doping significantly enhances the hydrogen storage ability of graphyne compared to that of pristine graphyne, which can be attributed to the polarization of H{sub 2} molecules induced by the charge transfer from Li atoms to graphyne. The favorite H{sub 2} molecules adsorption configurations on a single side and on both sides of a Li-decorated graphyne layer are determined. When Li atoms are adsorbed on one side of graphyne, each Li can bind four H{sub 2} molecules, corresponding to a hydrogen storage capacity of 9.26 wt. %. The hydrogen storage capacity can be further improved to 15.15 wt. % as graphyne is decorated by Li atoms on both sides, with an optimal average binding energy of 0.226 eV/H{sub 2}. The results show that the Li-decorated graphyne can serve as a high capacity hydrogen storage medium.

Zhang Hongyu; Zhang Meng; Zhao Lixia; Luo Youhua [Department of Physics, East China University of Science and Technology, Shanghai 200237 (China); Zhao Mingwen; Bu Hongxia; He Xiujie [School of Physics and State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100 Shandong (China)

2012-10-15T23:59:59.000Z

387

Capacity Markets and Market Stability  

Science Conference Proceedings (OSTI)

The good news is that market stability can be achieved through a combination of longer-term contracts, auctions for far enough in the future to permit new entry, a capacity management system, and a demand curve. The bad news is that if and when stable capacity markets are designed, the markets may seem to be relatively close to where we started - with integrated resource planning. Market ideologues will find this anathema. (author)

Stauffer, Hoff

2006-04-15T23:59:59.000Z

388

A Zonally Averaged, Coupled Ocean-Atmosphere Model for Paleoclimate Studies  

Science Conference Proceedings (OSTI)

A zonally averaged ocean model for the thermohaline circulation is coupled to a zonally averaged, one-layer energy balance model of the atmosphere to form a climate model for paleoclimate studies. The emphasis of the coupled model is on the ocean'...

Thomas F. Stocker; Lawrence A. Mysak; Daniel G. Wright

1992-08-01T23:59:59.000Z

389

Atmospheric Crude Oil Distillation Operable Capacity  

Gasoline and Diesel Fuel Update (EIA)

(Barrels per Calendar Day) (Barrels per Calendar Day) Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

390

India-Vulnerability Assessment and Enhancing Adaptive Capacities to Climate  

Open Energy Info (EERE)

Vulnerability Assessment and Enhancing Adaptive Capacities to Climate Vulnerability Assessment and Enhancing Adaptive Capacities to Climate Change Jump to: navigation, search Name India-Vulnerability Assessment and Enhancing Adaptive Capacities to Climate Change Agency/Company /Organization Swiss Agency for Development and Cooperation Sector Energy, Land, Water Focus Area Agriculture Topics Co-benefits assessment, Background analysis Resource Type Lessons learned/best practices Website http://www.intercooperation.or Country India Southern Asia References India-Vulnerability Assessment and Enhancing Adaptive Capacities to Climate Change[1] India-Vulnerability Assessment and Enhancing Adaptive Capacities to Climate Change Screenshot Contents 1 Introduction [1] 2 Community-based Institutions [2] 3 Pasture Land Development [3]

391

EIA - Projections of Oil Production Capacity and Oil Production In three  

Gasoline and Diesel Fuel Update (EIA)

Projections of Oil Production Capacity and Oil Production in Three Cases (1990-2030) Projections of Oil Production Capacity and Oil Production in Three Cases (1990-2030) International Energy Outlook 2006 Projections of Oil Production Capacity and Oil Production In Three Cases Data Tables (1990-2030) Formats Table Data Titles (1 to 6 complete) Projections of Oil Production Capacity and Oil Production In Three Cases Tables. Need help, contact the National Energy Information Center at 202-586-8800. Projections of Oil Production Capacity and Oil Production In Three Cases Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table E1 World Oil Production Capacity by Region and Country, Reference Case Projections of Oil Production Capacity and Oil Production In Three Cases Tables. Need help, contact the National Energy Information Center at 202-586-8800.

392

Table 5B. Commercial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Commercial Average Monthly Bill by Census Division, and State: Table 5B. Commercial Average Monthly Bill by ...

393

On the String Averaging Method for Sparse Common Fixed Points ...  

E-Print Network (OSTI)

Jul 10, 2008 ... gate a string-averaging algorithmic scheme that favorably handles the ... are special cases of the string-averaging and of the BIP algorithmic...

394

Table 5A. Residential Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Table 5A. Residential Average Monthly Bill by Census Division, and State, 2009: Census Division State Number of Consumers Average Monthly Consumption ...

395

Average summer gasoline prices expected to be slightly lower ...  

U.S. Energy Information Administration (EIA)

The retail price for regular gasoline is expected to average $3.63 per gallon during this summer driving season, slightly below average prices over ...

396

Table 5B. Commercial average monthly bill by census division...  

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

" Census Division " " State ","Number of Consumers "," Average Monthly Consumption (kWh)","Price (Cents per Kilowatthour)","Average Monthly Bill (Dollar and cents)" "New...

397

Designing Rules for the Capacity Market Hlne Le Cadre Michal Soubra  

E-Print Network (OSTI)

In this article, the energy market is a modeled as a Stackelberg game involving three categories of agents per unit of demand. Finally, coupling the energy and the capacity markets, we design rules for the ca the liberalization of the energy market and imposes the creation of a capacity market in 2015 which long term goal

398

Albania-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Albania-Enhancing Capacity for Low Emission Development Strategies Albania-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Albania-Enhancing Capacity for Low Emission Development Strategies Program Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Topics Low emission development planning, -LEDS Program Start 2010 Program End 2016 Country Albania UN Region Southern Asia References Enhancing Capacity for Low Emission Development Strategies Program[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes 5 Fact Sheet

399

Indonesia-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Indonesia-Enhancing Capacity for Low Emission Development Strategies Indonesia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Indonesia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Topics Low emission development planning, -LEDS Program Start 2010 Program End 2016 Country Indonesia South-Eastern Asia References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes 5 Fact Sheet 6 References Overview "Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) is a

400

Moldova-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Moldova-Enhancing Capacity for Low Emission Development Strategies Moldova-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Moldova-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Topics Low emission development planning, -LEDS Program Start 2010 Program End 2016 Country Moldova Eastern Europe References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes 5 Fact Sheet 6 References Overview "Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) is a

Note: This page contains sample records for the topic "average energy capacity" 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

Guatemala-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Guatemala-Enhancing Capacity for Low Emission Development Strategies Guatemala-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Guatemala-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Program Start 2010 Program End 2016 Country Guatemala Central America References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes 5 Fact Sheet 6 References Overview "Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) is a U.S. Government initiative to support developing countries' efforts to

402

Africa Adaptation Programme: Capacity Building Experiences-Improving  

Open Energy Info (EERE)

Africa Adaptation Programme: Capacity Building Experiences-Improving Africa Adaptation Programme: Capacity Building Experiences-Improving Access, Understanding and Application of Climate Data and Information Jump to: navigation, search Tool Summary Name: Africa Adaptation Programme: Capacity Building Experiences-Improving Access, Understanding and Application of Climate Data and Information Agency/Company /Organization: United Nations Development Programme (UNDP) Sector: Climate, Energy Topics: Adaptation, Co-benefits assessment, - Energy Access Resource Type: Dataset, Lessons learned/best practices Website: www.undp.org/environment/library.shtml Cost: Free UN Region: Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa Language: English Africa Adaptation Programme: Capacity Building Experiences-Improving Access, Understanding and Application of Climate Data and Information Screenshot

403

Ukraine-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Ukraine-Enhancing Capacity for Low Emission Development Strategies Ukraine-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Ukraine-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Topics Low emission development planning, -LEDS Program Start 2010 Program End 2016 Country Ukraine Eastern Europe References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes 5 Fact Sheet 6 References Overview "Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) is a

404

AEOP2011:Electricity Generation Capacity by Electricity Market Module  

Open Energy Info (EERE)

AEOP2011:Electricity Generation Capacity by Electricity Market Module AEOP2011:Electricity Generation Capacity by Electricity Market Module Region and Source Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 97, and contains only the reference case. The dataset uses billion kilowatthours. The data is broken down into Texas regional entity, Florida reliability coordinating council, Midwest reliability council and Northeast power coordination council. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO Electricity electricity market module region generation capacity Data application/vnd.ms-excel icon AEO2011: Electricity Generation Capacity by Electricity Market Module Region and Source- Reference Case (xls, 10.6 KiB)

405

Costa Rica-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Costa Rica-Enhancing Capacity for Low Emission Development Strategies Costa Rica-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Costa Rica-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Topics Low emission development planning, -LEDS Program Start 2010 Program End 2016 Country Costa Rica Central America References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes 5 Fact Sheet 6 References Overview "Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) is a

406

Cambodia-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Cambodia-Enhancing Capacity for Low Emission Development Strategies Cambodia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Cambodia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Topics Low emission development planning, -LEDS Program Start 2010 Program End 2016 Country Cambodia South-Eastern Asia References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes 5 Fact Sheet 6 References Overview "Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) is a

407

Philippines-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Philippines-Enhancing Capacity for Low Emission Development Strategies Philippines-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Philippines-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Topics Low emission development planning, -LEDS Program Start 2010 Program End 2016 Country Philippines South-Eastern Asia References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes 5 Fact Sheet 6 References Overview "Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) is a

408

Kazakhstan-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Kazakhstan-Enhancing Capacity for Low Emission Development Strategies Kazakhstan-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Kazakhstan-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Topics Low emission development planning, -LEDS Program Start 2010 Program End 2016 Country Kazakhstan Central Asia References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes 5 Fact Sheet 6 References Overview "Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) is a

409

Kenya-Enhancing Capacity for Low Emission Development Strategies | Open  

Open Energy Info (EERE)

Kenya-Enhancing Capacity for Low Emission Development Strategies Kenya-Enhancing Capacity for Low Emission Development Strategies Jump to: navigation, search Name Kenya-Enhancing Capacity for Low Emission Development Strategies Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Focus Area Renewable Energy, Buildings, Energy Efficiency Topics Finance, GHG inventory, Implementation, Low emission development planning, -LEDS, Resource assessment Program Start 2010 Program End 2016 Country Kenya Eastern Africa References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes

410

World nuclear capacity and fuel cycle requirements, November 1993  

SciTech Connect

This analysis report presents the current status and projections of nuclear capacity, generation, and fuel cycle requirements for all countries in the world using nuclear power to generate electricity for commercial use. Long-term projections of US nuclear capacity, generation, fuel cycle requirements, and spent fuel discharges for three different scenarios through 2030 are provided in support of the Department of Energy`s activities pertaining to the Nuclear Waste Policy Act of 1982 (as amended in 1987). The projections of uranium requirements also support the Energy Information Administration`s annual report, Domestic Uranium Mining and Milling Industry: Viability Assessment.

Not Available

1993-11-30T23:59:59.000Z

411

Table 8.11b Electric Net Summer Capacity: Electric Power Sector ...  

U.S. Energy Information Administration (EIA)

kilowatts. 6 Wood and wood-derived fuels. Notes: - Data are at end of year. - For plants that use multiple sources of energy, capacity is assigned

412

Wind industry installs almost 5,300 MW of capacity in ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual ... Search EIA.gov. ... Wind plant developers reported throughout 2012 increasing amounts of new capacity scheduled ...

413

A Low Cost, High Capacity Regenerable Sorbent for Pre-combustion...  

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

A Low Cost, High Capacity Regenerable Sorbent for Pre-combustion CO 2 Capture Background An important component of the Department of Energy (DOE) Carbon Sequestration Program is...

414

How much electric supply capacity is needed to keep U.S ...  

U.S. Energy Information Administration (EIA)

Solar Energy in Brief ... additions in wind and solar capacity were spurred by both state-level Renewable Portfolio Standards and federal tax incentives.

415

Assessment of Commercial Space Conditioning Technologies: Variable Capacity Rooftop Units  

Science Conference Proceedings (OSTI)

Space conditioning in U.S. commercial buildings is commonly performed by a packaged air-source rooftop unit (RTU). In recent years, heating, ventilation, and air-conditioning (HVAC) manufacturers have begun to develop RTUs with higher efficiency through the implementation of variable capacity technology. Variable capacity RTUs potentially offer electric utilities a new resource for achieving energy and peak power reduction. This document aims to serve as a resource for electric utilities in ...

2013-12-16T23:59:59.000Z

416

Energy Efficiency & Renewable Energy  

E-Print Network (OSTI)

and the installed capacity of small wind turbines, which are defined as having rated capacities of 100 kilowatts (k are electric generators that utilize wind energy to produce clean, emissions-free power for individual homes to the American Wind Energy Association (AWEA), the United States leads the world in both the manufacture

417

Energy & Financial Markets: What Drives Crude Oil Prices? - Energy ...  

U.S. Energy Information Administration (EIA)

EIA's traditional coverage of physical fundamentals such as energy consumption, production, inventories, spare production capacity, ...

418

Optimal Capacity Adjustments for Supply Chain Control  

E-Print Network (OSTI)

Decisions on capacity are often treated separately from those of production and inventory. In most situations, capacity issues are longer-term, so capacity-related decisions are considered strategic and thus not part of ...

Budiman, Benny

419

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

22 22 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is

420

Texas Gulf Coast Refinery District API Gravity (Weighted Average ...  

U.S. Energy Information Administration (EIA)

Texas Gulf Coast Refinery District API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degree)

Note: This page contains sample records for the topic "average energy capacity" 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

Working and Net Available Shell Storage Capacity  

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

and tank farms. Excludes storage capacity of refineries, fuel ethanol plants, and pipelines. 2 Percent exclusive use is that portion of capacity in operation that is for the...

422

Economic Dispatch of Electric Generation Capacity | Department...  

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

Economic Dispatch of Electric Generation Capacity Economic Dispatch of Electric Generation Capacity A report to congress and the states pursuant to sections 1234 and 1832 of the...

423

California Working Natural Gas Underground Storage Capacity ...  

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

Working Natural Gas Underground Storage Capacity (Million Cubic Feet) California Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2...

424

Resource Adequacy Capacity - Power Marketing - Sierra Nevada...  

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

Resource Adequacy Capacity Resource Adequacy Capacity Resource Adequacy Plan - Current Local Resource Adequacy Plan (Word - 175K) - Notice of Proposed Final Resource Adequacy Plan...

425

Washington Natural Gas Underground Storage Acquifers Capacity...  

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

Underground Storage Acquifers Capacity (Million Cubic Feet) Washington Natural Gas Underground Storage Acquifers Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

426

Missouri Natural Gas Underground Storage Acquifers Capacity ...  

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

Underground Storage Acquifers Capacity (Million Cubic Feet) Missouri Natural Gas Underground Storage Acquifers Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

427

Mississippi Working Natural Gas Underground Storage Capacity...  

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

Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Mississippi Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2...

428

Minnesota Natural Gas Underground Storage Acquifers Capacity...  

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

Underground Storage Acquifers Capacity (Million Cubic Feet) Minnesota Natural Gas Underground Storage Acquifers Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

429

Pennsylvania Working Natural Gas Underground Storage Capacity...  

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

Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Pennsylvania Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2...

430

Washington Working Natural Gas Underground Storage Capacity ...  

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

Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Washington Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2...

431

EIA Crude Oil Distillation Capacity (Table 36)  

U.S. Energy Information Administration (EIA)

(Important Note on Sources of Crude Oil Distillation Capacity Estimates) Table 3.6 World Crude Oil Distillation Capacity, January 1, 1970 - January 1, 2009

432

Power Technologies Energy Data Book: Fourth Edition, Chapter...  

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

Table 5.11 - Top 10 Independent Power Producers Worldwide (Megawatts) Company 2002 Capacity (MW) 2003 Capacity (MW) 2004 Capacity (MW) SUEZ Energy International (formerly...

433

Climate: monthly and annual average relative humidity GIS data at  

Open Energy Info (EERE)

relative humidity GIS data at relative humidity GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Relative Humidity at 10 m Above The Surface Of The Earth (%)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Relative Humidity at 10 m Above The Surface Of The Earth (%)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

434

Wind turbine cost of electricity and capacity factor  

Science Conference Proceedings (OSTI)

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

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

1997-11-01T23:59:59.000Z

435

Missouri | Department of Energy  

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

with systems up to 100 kilowatts (kW) in capacity that generate electricity using wind energy, solar-thermal energy, hydroelectric energy, photovoltaics (PV), fuel cells...

436

China Energy Databook - Rev. 4  

E-Print Network (OSTI)

Renewable Energy Production Capacities, End of 1992 page CHAPTER 1 1 ENERGY INDUSTRY INVESTMENT Investment by State:

Sinton Editor, J.E.

2010-01-01T23:59:59.000Z

437

Bangladesh-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Bangladesh-Enhancing Capacity for Low Emission Development Strategies Bangladesh-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Bangladesh-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy Focus Area Renewable Energy, Wind Topics Low emission development planning, -LEDS, Resource assessment, Technology characterizations Country Bangladesh Southern Asia References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Progress and Outcomes 5 Fact Sheet 6 References Overview

438

Estimating the Capacity Value of Concentrating Solar Power Plants: A Case Study of the Southwestern United States  

Science Conference Proceedings (OSTI)

We estimate the capacity value of concentrating solar power (CSP) plants without thermal energy storage in the southwestern U.S. Our results show that CSP plants have capacity values that are between 45% and 95% of maximum capacity, depending on their location and configuration. We also examine the sensitivity of the capacity value of CSP to a number of factors and show that capacity factor-based methods can provide reasonable approximations of reliability-based estimates.

Madaeni, S. H.; Sioshansi, R.; Denholm, P.

2012-05-01T23:59:59.000Z

439

Average crack front velocity during subcritical fracture propagation in a heterogeneous medium  

E-Print Network (OSTI)

the free energy, and thus the energy barrier, via numerous competing mech- anisms like stress corrosion speed of crack growth with increasing G; a weak stress- sensitive regime II follows where transportAverage crack front velocity during subcritical fracture propagation in a heterogeneous medium

Ampuero, Jean Paul

440

Entangling and disentangling capacities of nonlocal maps  

E-Print Network (OSTI)

Entangling and disentangling capacities are the key manifestation of the nonlocal content of a quantum operation. A lot of effort has been put recently into investigating (dis)entangling capacities of unitary operations, but very little is known about capacities of non-unitary operations. Here we investigate (dis)entangling capacities of unital CPTP maps acting on two qubits.

Berry Groisman

2007-04-08T23:59:59.000Z

Note: This page contains sample records for the topic "average energy capacity" 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

Louisiana Refinery Catalytic Reforming Downstream Charge Capacity ...  

U.S. Energy Information Administration (EIA)

Louisiana Refinery Catalytic Reforming Downstream Charge Capacity as of January 1 (Barrels per Stream Day)

442

Oklahoma Refinery Vacuum Distillation Downstream Charge Capacity ...  

U.S. Energy Information Administration (EIA)

Oklahoma Refinery Vacuum Distillation Downstream Charge Capacity as of January 1 (Barrels per Stream Day)

443

Georgia Refinery Marketable Petroleum Coke Production Capacity ...  

U.S. Energy Information Administration (EIA)

Georgia Refinery Marketable Petroleum Coke Production Capacity as of January 1 (Barrels per Stream Day)

444

Heat capacity of liquids: an approach from the solid phase  

E-Print Network (OSTI)

We calculate the energy and heat capacity of a liquid on the basis of its elastic properties and vibrational states. The experimental decrease of liquid heat capacity with temperature is attributed to the increasing loss of two transverse modes with frequency $\\omegacapacity is related to viscosity and is compared with the experimental data of mercury. We also calculate the vibrational energy of a quantum liquid, and show that transverse phonons can not be excited in the low-temperature limit. Finally, we discuss the implications of the proposed approach to liquids for the problem of glass transition.

Kostya Trachenko

2008-07-24T23:59:59.000Z

445

Table 19. Average Price of U.S. Coal Imports  

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

Price of U.S. Coal Imports Price of U.S. Coal Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 19. Average Price of U.S. Coal Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Origin April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 147.86 138.39 191.01 144.86 197.96 -26.8 Canada 147.86 138.39 191.00 144.86 197.95 -26.8 Mexico - - 286.23 - 286.23 - South America Total 75.29 80.74 86.52 77.20 87.17 -11.4 Argentina - - 504.70 - 504.70 - Colombia 74.87 80.74 83.03 76.96 85.25 -9.7 Peru 87.09 - - 87.09 - - Venezuela 91.81 - 122.01 91.81 112.61 -18.5 Europe Total - 136.50 137.33 136.50 146.31 -6.7

446

Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average  

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

8: July 12, 2004 8: July 12, 2004 Expected Average Annual Miles to someone by E-mail Share Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Facebook Tweet about Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Twitter Bookmark Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Google Bookmark Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Delicious Rank Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Digg Find More places to share Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on AddThis.com... Fact #328: July 12, 2004 Expected Average Annual Miles Twenty-five percent of the respondents to a nationwide survey said that

447

Vehicle Technologies Office: Fact #536: September 15, 2008 Average...  

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

6: September 15, 2008 Average Used Car Prices Up and Used Light Truck Prices Down to someone by E-mail Share Vehicle Technologies Office: Fact 536: September 15, 2008 Average Used...

448

Vehicle Technologies Office: Fact #517: May 5, 2008 State Average...  

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

7: May 5, 2008 State Average Gasoline Prices, April 18, 2008 to someone by E-mail Share Vehicle Technologies Office: Fact 517: May 5, 2008 State Average Gasoline Prices, April 18,...

449

Vehicle Technologies Office: Fact #87: May 4, 1999 Average Annual...  

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

7: May 4, 1999 Average Annual Miles per Vehicle by Vehicle Type and Age to someone by E-mail Share Vehicle Technologies Office: Fact 87: May 4, 1999 Average Annual Miles per...

450

Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical way of postprocessing forecast ensembles to create predictive probability density functions (PDFs) for weather quantities. It represents the predictive PDF as a weighted average of PDFs centered on ...

J. Mc Lean Sloughter; Adrian E. Raftery; Tilmann Gneiting; Chris Fraley

2007-09-01T23:59:59.000Z

451

Vehicle Technologies Office: Fact #744: September 10, 2012 Average...  

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

4: September 10, 2012 Average New Light Vehicle Price Grows Faster than Average Used Light Vehicle Price to someone by E-mail Share Vehicle Technologies Office: Fact 744:...

452

Improving Wind ProfilerMeasured Winds Using Coplanar Spectral Averaging  

Science Conference Proceedings (OSTI)

A method is presented that increases the detectability of weak clear-air signals by averaging Doppler spectra from coplanar wind profiler beams. The method, called coplanar spectral averaging (CSA), is applied to both simulated wind profiler ...

Robert Schafer; Susan K. Avery; Kenneth S. Gage; Paul E. Johnston; D. A. Carter

2004-11-01T23:59:59.000Z

453

On Lateral Dispersion Coefficients as Functions of Averaging Time  

Science Conference Proceedings (OSTI)

Plume dispersion coefficients are discussed in terms of single-particle and relative diffusion, and are investigated as functions of averaging time. To demonstrate the effects of averaging time on the relative importance of various dispersion ...

C. M. Sheih

1980-05-01T23:59:59.000Z

454

Vorticity Dynamics and Zonally Averaged Ocean Circulation Models  

Science Conference Proceedings (OSTI)

Diagnostic equations relating the zonally averaged overturning circulation to northsouth density variations are derived and used to determine a new closure scheme for use in zonally averaged ocean models. The presentation clarifies the dynamical ...

Daniel G. Wright; Cornelis B. Vreugdenhil; Tertia M. C. Hughes

1995-09-01T23:59:59.000Z

455

High capacity immobilized amine sorbents  

DOE Patents (OSTI)

A method is provided for making low-cost CO.sub.2 sorbents that can be used in large-scale gas-solid processes. The improved method entails treating an amine to increase the number of secondary amine groups and impregnating the amine in a porous solid support. The method increases the CO.sub.2 capture capacity and decreases the cost of utilizing an amine-enriched solid sorbent in CO.sub.2 capture systems.

Gray, McMahan L. (Pittsburgh, PA); Champagne, Kenneth J. (Fredericktown, PA); Soong, Yee (Monroeville, PA); Filburn, Thomas (Granby, CT)

2007-10-30T23:59:59.000Z

456

Working and Net Available Shell Storage Capacity as of March 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

Working and Net Available Shell Storage Capacity Working and Net Available Shell Storage Capacity Working and Net Available Shell Storage Capacity Archives With Data for March 2011 | Release Date: May 31, 2011 Working and Net Available Shell Storage Capacity is the U.S. Energy Information Administration's (EIA) report containing storage capacity data for crude oil, petroleum products, and selected biofuels. The report includes tables detailing working and net available shell storage capacity by type of facility, product, and Petroleum Administration for Defense District (PAD District). Net available shell storage capacity is broken down further to show the percent for exclusive use by facility operators and the percent leased to others. Crude oil storage capacity data are also provided for Cushing, Oklahoma, an important crude oil market center. Data

457

Argentina-EU-UNDP Low Emission Capacity Building Programme (LECBP) | Open  

Open Energy Info (EERE)

Argentina-EU-UNDP Low Emission Capacity Building Programme (LECBP) Argentina-EU-UNDP Low Emission Capacity Building Programme (LECBP) Jump to: navigation, search Name Argentina-EU-UNDP Low Emission Capacity Building Programme (LECBP) Agency/Company /Organization The European Union (EU), United Nations Development Programme (UNDP), German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU), Australian Department of Climate Change and Energy Efficiency (DCCEE), Australian Agency for International Development (AusAID) Partner Secretariat of Environment and Sustainable Development (SESD), Secretariat of Industry Sector Climate, Energy Focus Area Renewable Energy, Non-renewable Energy, Agriculture, Buildings, Economic Development, Energy Efficiency, Greenhouse Gas, Industry, - Industrial Processes

458

Table 5C. Industrial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Industrial Average Monthly Bill by Census Division, and State: Table 5C. Industrial ...

459

Maryland Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States

460

Optimization Online - "Block-Iterative and String-Averaging ...  

E-Print Network (OSTI)

Jul 19, 2009 ... Optimization Online. "Block-Iterative and String-Averaging Projection Algorithms in Proton Computed Tomography Image Reconstruction".

Note: This page contains sample records for the topic "average energy capacity" 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

Table 4. Average retail price for bundled and unbundled consumers ...  

U.S. Energy Information Administration (EIA)

Table 4. Average retail price for bundled and unbundled consumers by sector, Census Division, and State 2011

462

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

463

Solar: monthly and annual average direct normal (DNI) GIS data at 40km for  

Open Energy Info (EERE)

km for km for Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

464

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

465

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

466

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to

467

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

468

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

469

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

470

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

Mexico, Central America, and the Caribbean Islands from NREL Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The

471

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

472

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

473

Solar: annual average direct normal (DNI) GIS data at 10km resolution for  

Open Energy Info (EERE)

GIS data at 10km resolution for GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This

474

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

475

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

476

1992 Annual Capacity Report. Revision 1  

SciTech Connect

The Standard Contract for Disposal of Spent Nuclear Fuel and/or High-Level Radioactive Waste (10 CFR Part 961) requires the Department of Energy (DOE) to issue an Annual Capacity Report (ACR) for planning purposes. This report is the fifth in the series published by DOE. In May 1993, DOE published the 1992 Acceptance Priority Ranking (APR) that established the order in which DOE will allocate projected acceptance capacity. As required by the Standard Contract, the acceptance priority ranking is based on the date the spent nuclear fuel (SNF) was permanently discharged, with the owners of the oldest SNF, on an industry-wide basis, given the highest priority. The 1992 ACR applies the projected waste acceptance rates in Table 2.1 to the 1992 APR, resulting in individual allocations for the owners and generators of the SNF. These allocations are listed in detail in the Appendix, and summarized in Table 3.1. The projected waste acceptance rates for SNF presented in Table 2.1 are nominal and assume a site for a Monitored Retrievable Storage (MRS) facility will be obtained; the facility will initiate operations in 1998; and the statutory linkages between the MRS facility and the repository set forth in the Nuclear Waste Policy Act of 1982, as amended (NWPA), will be modified. During the first ten years following projected commencement of Civilian Radioactive Waste Management System (CRWMS) operation, the total quantity of SNF that could be accepted is projected to be 8,200 metric tons of uranium (MTU). This is consistent with the storage capacity licensing conditions imposed on an MRS facility by the NWPA. The annual acceptance rates provide an approximation of the system throughput and are subject to change as the program progresses.

Not Available

1993-05-01T23:59:59.000Z

477

Local volume-time averaged equations of motion for dispersed, turbulent, multiphase flows  

Science Conference Proceedings (OSTI)

In most flows of liquids and their vapors, the phases are dispersed randomly in both space and time. These dispersed flows can be described only statistically or in terms of averages. Local volume-time averaging is used here to derive a self-consistent set of equations governing momentum and energy transfer in dispersed, turbulent, multiphase flows. The empiricisms required for use with these equations are the subject of current research.

Sha, W.T.; Slattery, J.C.

1980-11-01T23:59:59.000Z

478

Representing Energy Price Variability in Long-and Medium-term Hydropower Optimization  

E-Print Network (OSTI)

literature focuses on electricity markets modeling and electricity price forecasting (Nogales et al., 2002. Contreras, A. J. Conejo, and R. Espínola. (2002). "Forecasting next-day electricity prices by time series capacity increases, some hydropower plants can provide base load instead. The use of an average energy

Lund, Jay R.

479

Alternative Energy Development and China's Energy Future  

SciTech Connect

In addition to promoting energy efficiency, China has actively pursued alternative energy development as a strategy to reduce its energy demand and carbon emissions. One area of particular focus has been to raise the share of alternative energy in Chinas rapidly growing electricity generation with a 2020 target of 15% share of total primary energy. Over the last ten years, China has established several major renewable energy regulations along with programs and subsidies to encourage the growth of non-fossil alternative energy including solar, wind, nuclear, hydro, geothermal and biomass power as well as biofuels and coal alternatives. This study thus seeks to examine Chinas alternative energy in terms of what has and will continue to drive alternative energy development in China as well as analyze in depth the growth potential and challenges facing each specific technology. This study found that despite recent policies enabling extraordinary capacity and investment growth, alternative energy technologies face constraints and barriers to growth. For relatively new technologies that have not achieved commercialization such as concentrated solar thermal, geothermal and biomass power, China faces technological limitations to expanding the scale of installed capacity. While some alternative technologies such as hydropower and coal alternatives have been slowed by uneven and often changing market and policy support, others such as wind and solar PV have encountered physical and institutional barriers to grid integration. Lastly, all alternative energy technologies face constraints in human resources and raw material resources including land and water, with some facing supply limitations in critical elements such as uranium for nuclear, neodymium for wind and rare earth metals for advanced solar PV. In light of Chinas potential for and barriers to growth, the resource and energy requirement for alternative energy technologies were modeled and scenario analysis used to evaluate the energy and emission impact of two pathways of alternative energy development. The results show that China can only meets its 2015 and 2020 targets for non-fossil penetration if it successfully achieves all of its capacity targets for 2020 with continued expansion through 2030. To achieve this level of alternative generation, significant amounts of raw materials including 235 Mt of concrete, 54 Mt of steel, 5 Mt of copper along with 3 billion tons of water and 64 thousand square kilometers of land are needed. Chinas alternative energy supply will likely have relatively high average energy output to fossil fuel input ratio of 42 declining to 26 over time, but this ratio is largely skewed by nuclear and hydropower capacity. With successful alternative energy development, 32% of Chinas electricity and 21% of its total primary energy will be supplied by alternative energy by 2030. Compared to the counterfactual baseline in which alternative energy development stumbles and China does not meet its capacity targets until 2030, alternative energy development can displace 175 Mtce of coal inputs per year and 2080 Mtce cumulatively from power generation by 2030. In carbon terms, this translates into 5520 Mt of displaced CO{sub 2} emissions over the twenty year period, with more than half coming from expanded nuclear and wind power generation. These results illustrate the critical role that alternative energy development can play alongside energy efficiency in reducing Chinas energy-related carbon emissions.

Zheng, Nina; Fridley, David

2011-06-15T23:59:59.000Z

480

Table US8. Average Consumption by Fuels Used, 2005 Physical ...  

U.S. Energy Information Administration (EIA)

Wood (cords) Energy Information Administration 2005 Residential Energy Consumption Survey: Energy Consumption and Expenditures Tables. Table US8.

Note: This page contains sample records for the topic "average energy capacity" from the National Library of EnergyBeta (NLEBeta).
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to obtain the most current and comprehensive results.


481

On the Capacity of Free-Space Optical Intensity Channels  

E-Print Network (OSTI)

New upper and lower bounds are presented on the capacity of the free-space optical intensity channel. This channel is characterized by inputs that are nonnegative (representing the transmitted optical intensity) and by outputs that are corrupted by additive white Gaussian noise (because in free space the disturbances arise from many independent sources). Due to battery and safety reasons the inputs are simultaneously constrained in both their average and peak power. For a fixed ratio of the average power to the peak power the difference between the upper and the lower bounds tends to zero as the average power tends to infinity, and the ratio of the upper and lower bounds tends to one as the average power tends to zero. The case where only an average-power constraint is imposed on the input is treated separately. In this case, the difference of the upper and lower bound tends to 0 as the average power tends to infinity, and their ratio tends to a constant as the power tends to zero.

Lapidoth, Amos; Wigger, Michele A

2008-01-01T23:59:59.000Z

482

On the Capacity of Free-Space Optical Intensity Channels  

E-Print Network (OSTI)

New upper and lower bounds are presented on the capacity of the free-space optical intensity channel. This channel is characterized by inputs that are nonnegative (representing the transmitted optical intensity) and by outputs that are corrupted by additive white Gaussian noise (because in free space the disturbances arise from many independent sources). Due to battery and safety reasons the inputs are simultaneously constrained in both their average and peak power. For a fixed ratio of the average power to the peak power the difference between the upper and the lower bounds tends to zero as the average power tends to infinity, and the ratio of the upper and lower bounds tends to one as the average power tends to zero. The case where only an average-power constraint is imposed on the input is treated separately. In this case, the difference of the upper and lower bound tends to 0 as the average power tends to infinity, and their ratio tends to a constant as the power tends to zero.

Lapidoth, Amos; Wigger, Michele A

2009-01-01T23:59:59.000Z

483

Republic of Macedonia-Enhancing Capacity for Low Emission Development  

Open Energy Info (EERE)

Republic of Macedonia-Enhancing Capacity for Low Emission Development Republic of Macedonia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Republic of Macedonia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Agency/Company /Organization United States Agency for International Development, United States Environmental Protection Agency, United States Department of Energy, United States Department of Agriculture, United States Department of State Sector Climate, Energy, Land Topics Low emission development planning, -LEDS Program Start 2010 Program End 2016 Country Republic of Macedonia Southern Europe References EC-LEDS[1] Contents 1 Overview 2 Framework 3 Lessons Learned and Good Practices 4 Framework 5 Lessons Learned and Good Practices 6 Progress and Outcomes

484

Los Alamos Neutron Science Center gets capacity boost  

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

Neutron Science Center capacity boost Neutron Science Center capacity boost Los Alamos Neutron Science Center gets capacity boost The facility can simulate the effects of hundreds or thousands of years of cosmic-ray-induced neutrons in a single hour. December 2, 2010 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Contact

485

Table 16. Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method,  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Table 16. Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Continuous 1 Conventional and Other 2 Longwall 3 Total Coal-Producing State Recoverable Coal Reserves at Producing Mines Average Recovery Percentage Recoverable Coal Reserves at Producing Mines Average Recovery Percentage Recoverable Coal Reserves at Producing Mines Average Recovery Percentage Recoverable Coal Reserves at Producing Mines Average Recovery Percentage

486

CMI Working PaperDid English Generators Play Cournot? Capacity withholding in the Electricity Pool.  

E-Print Network (OSTI)

Electricity generators can raise the price of power by withholding their plant from the market. We discuss two ways in which this could have affected prices in the England and Wales Pool. Withholding low-cost capacity which should be generating will raise energy prices but make the pattern of generation less efficient. This pattern improved significantly after privatisation. Withholding capacity that was not expected to generate would raise the Capacity Payments based on spare capacity. On a multi-year basis, these did not usually exceed competitive levels, the cost of keeping stations open. The evidence for large-scale capacity withholding is weak. Keywords: JEL:

Richard Green; Richard Green

2004-01-01T23:59:59.000Z

487

China energy, environment, and climate study: Background issues paper  

E-Print Network (OSTI)

solar thermal. Assumes that the average capacity factor is 0.5, renewables replace coal-fired power generation, efficiency

Sinton, Jonathan E.; Fridley, David G.; Logan, Jeffrey; Guo, Yuan; Wang, Bangcheng; Xu, Qing

2000-01-01T23:59:59.000Z

488

U.S. Refining Capacity  

Reports and Publications (EIA)

Presented by: Guy F. Caruso, EIA AdministratorPresented to: Subcommittee on Energy and Air Quality Committee onEnergy and CommerceU.S. House of RepresentativesWashington, DCJuly 15, 2004

Information Center

2004-07-15T23:59:59.000Z

489

Wind: monthly and annual average wind GIS data at one-degree resolution of  

Open Energy Info (EERE)

monthly and annual average wind GIS data at one-degree resolution of monthly and annual average wind GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Wind Speed At 50 m Above The Surface Of The Earth (m/s)NASA Surface meteorology and Solar Energy (SSE) Release 5 Data Set (Jan. 2005)10-year Monthly & Annual Average (July 1983 - June 1993) Parameter: Wind Speed At 50 m Above The Surface Of The Earth (m/s) Internet: http://eosweb.larc.nasa.gov/sse/ Note: SSE Methodology & Accuracy sections online Created: October 4, 2005 See the NASA Surface meteorology and Solar Energy (SSE) web site at http://eosweb.larc.nasa.gov/sse/. The source data was downloaded from the SSE website at Data Retrieval: Meteorology and Solar Energy > Global data sets as text files. The tabular data was then converted to the shapefile format.

490

The Effect of Technological Improvement on Capacity  

E-Print Network (OSTI)

We formulate a model of capacity expansion that is relevant to a service provider for whom the cost of capacity shortages would be considerable but difficult to quantify exactly. Due to demand uncertainty and a lead time for adding capacity, not all shortages are avoidable. In addition, technological innovations will reduce the cost of adding capacity but may not be completely predictable. Analytical expressions for the infinite horizon expansion cost and shortages are optimized numerically. Sensitivity analyses allow us to determine the impact of technological change on the optimal timing and sizes of capacity expansions to account for economies of scale, the time value of money and penalties for insufficient capacity.

Expansion For Uncertain; Dohyun Pak; Nattapol Pornsalnuwat; Sarah M. Ryan

2004-01-01T23:59:59.000Z

491

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | Annual Monthly/Quarterly. Capacity | Bunker Fuels | ...

492

International Energy Statistics  

U.S. Energy Information Administration (EIA)

International Energy Statistics; Petroleum. Production| Annual Monthly/Quarterly. Consumption | Annual Monthly/Quarterly. Capacity | Bunker Fuels | Stocks |