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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

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.

2

Laser Fusion Energy The High Average Power  

E-Print Network (OSTI)

Laser Fusion Energy and The High Average Power Program John Sethian Naval Research Laboratory Dec for Inertial Fusion Energy with lasers, direct drive targets and solid wall chambers Lasers DPPSL (LLNL) Kr posters Snead Payne #12;Laser(s) Goals 1. Develop technologies that can meet the fusion energy

3

Dynamic Energy-Aware Capacity Provisioning for Cloud Computing Environments  

E-Print Network (OSTI)

reduction in energy cost, while maintaining an acceptable average scheduling delay for individual tasks data center. It has been reported that energy consumption accounts for more than 12% of monthlyDynamic Energy-Aware Capacity Provisioning for Cloud Computing Environments Qi Zhang University

Boutaba, Raouf

4

Property:USGSMeanCapacity | Open Energy Information  

Open Energy Info (EERE)

Resource Assessment of the United States. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For...

5

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

6

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 +

7

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

8

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

9

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

10

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

11

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

12

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"

13

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

14

Capacity Building in Wind Energy for PICs  

E-Print Network (OSTI)

1 Capacity Building in Wind Energy for PICs Presentation of the project Regional Workshop Suva hydropower is relatively important (Papua New Guinea, Fiji and Samoa · The traditional use of wind energy has indicates that significant wind energy potential exists. · A monitoring project showed that in Rarotonga

15

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

16

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

17

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.

18

,,,,,"Capacity MW",,,,,"Number of Meters",,,,,"Energy Sold Back...  

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

Other",,,"All Technologies" ,,,,,"Capacity MW",,,,,"Number of Meters",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Number of Meters",,,,,"Energy Sold Back...

19

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

2004-08-03T23:59:59.000Z

20

A holographic proof of the averaged null energy condition  

E-Print Network (OSTI)

The averaged null energy conditions (ANEC) states that, along a complete null curve, the negative energy fluctuations of a quantum field must be balanced by positive energy fluctuations. We use the AdS/CFT correspondence to prove the ANEC for a class of strongly coupled conformal field theories in flat spacetime. A violation of the ANEC in the field theory would lead to acausal propagation of signals in the bulk.

William R. Kelly; Aron C. Wall

2014-11-03T23:59:59.000Z

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.


21

High Average Power, High Energy Short Pulse Fiber Laser System  

SciTech Connect

Recently continuous wave fiber laser systems with output powers in excess of 500W with good beam quality have been demonstrated [1]. High energy, ultrafast, chirped pulsed fiber laser systems have achieved record output energies of 1mJ [2]. However, these high-energy systems have not been scaled beyond a few watts of average output power. Fiber laser systems are attractive for many applications because they offer the promise of high efficiency, compact, robust systems that are turn key. Applications such as cutting, drilling and materials processing, front end systems for high energy pulsed lasers (such as petawatts) and laser based sources of high spatial coherence, high flux x-rays all require high energy short pulses and two of the three of these applications also require high average power. The challenge in creating a high energy chirped pulse fiber laser system is to find a way to scale the output energy while avoiding nonlinear effects and maintaining good beam quality in the amplifier fiber. To this end, our 3-year LDRD program sought to demonstrate a high energy, high average power fiber laser system. This work included exploring designs of large mode area optical fiber amplifiers for high energy systems as well as understanding the issues associated chirped pulse amplification in optical fiber amplifier systems.

Messerly, M J

2007-11-13T23:59:59.000Z

22

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.

23

The State Energy Program: Building Energy Efficiency and Renewable Energy Capacity in the States  

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

This study documents the capacity-building effects that the federal State Energy Program (SEP) has had on the states' capacity to design, manage and implement energy efficiency and renewable energy programs.

24

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.

25

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

26

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

27

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

28

Generation capacity expansion in restructured energy markets.  

E-Print Network (OSTI)

??With a significant number of states in the U.S. and countries around the world trading electricity in restructured markets, a sizeable proportion of capacity expansion (more)

Nanduri, Vishnuteja

2009-01-01T23:59:59.000Z

29

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

30

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.

31

Ukraine-Capacity Building for Low Carbon Growth | Open Energy...  

Open Energy Info (EERE)

Jump to: navigation, search Name UNDP-Capacity Building for Low Carbon Growth in Ukraine AgencyCompany Organization United Nations Development Programme Sector Energy,...

32

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

33

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

34

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

35

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

36

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

37

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"

38

Lecture Ch. 2a Energy and heat capacity  

E-Print Network (OSTI)

1 Lecture Ch. 2a · Energy and heat capacity ­ State functions or exact differentials ­ Internal energy vs. enthalpy · 1st Law of thermodynamics ­ Relate heat, work, energy · Heat/work cycles (and path integrals) ­ Energy vs. heat/work? ­ Adiabatic processes ­ Reversible P-V work ! define entropy Curry

Russell, Lynn

39

Lecture Ch. 2a Energy and heat capacity  

E-Print Network (OSTI)

1 Lecture Ch. 2a · Energy and heat capacity ­ State functions or exact differentials ­ Internal energy vs. enthalpy · 1st Law of thermodynamics ­ Relate heat, work, energy · Heat/work cycles (and path integrals) ­ Energy vs. heat/work? ­ Adiabatic processes ­ Reversible "P-V" work define entropy Curry

Russell, Lynn

40

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

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

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

42

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)

43

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

44

E-Print Network 3.0 - affecting energy capacity Sample Search...  

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

reserves provided by the block with capacity... , which, in turn, impacts the capacity markets, be they energy or ancillary services markets, is adequacy... capacity ofsellers'...

45

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

46

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

47

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

48

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

49

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

50

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

51

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

52

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

53

RESEARCH ARTICLE Multi-cost routing for energy and capacity  

E-Print Network (OSTI)

RESEARCH ARTICLE Multi-cost routing for energy and capacity constrained wireless mesh networks, Patras, Greece ABSTRACT We propose a class of novel energy-efficient multi-cost routing algorithms path. We evaluate the performance of the proposed energy-aware multi-cost routing algorithms under two

Varvarigo, Emmanouel "Manos"

54

U.S. Geothermal Energy Capacity Grew 6% in 2009 | Department...  

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

Energy Capacity Grew 6% in 2009 U.S. Geothermal Energy Capacity Grew 6% in 2009 February 10, 2010 - 3:02pm Addthis Photo of a Geothermal photo plant. Geothermal energy capacity...

55

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

56

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

57

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 +

58

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)

59

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)

60

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)

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

''Averaged'' statistical thermodynamics, energy equipartition and the third law  

E-Print Network (OSTI)

Arguments are presented that the assumption, implicit to traditional statistical thermodynamics, that at zero temperature all erratic motions cease, should be dispensed with. Assuming instead a random ultrarelativistic unobservable motion, similar to zitterbewegung, it is demonstrated that in an ideal gas of classical particles the energy equipartition fails in a way that complies with the third law of thermodynamics.

Vesselin I. Dimitrov

1997-07-03T23:59:59.000Z

62

ON THE SELF-AVERAGING OF WAVE ENERGY IN RANDOM GUILLAUME BAL  

E-Print Network (OSTI)

ON THE SELF-AVERAGING OF WAVE ENERGY IN RANDOM MEDIA GUILLAUME BAL Abstract. We consider the stabilization (self-averaging) and destabilization of the energy of waves propagating in random media transport equations for arbitrary statistical moments of the wave field is used to show that wave energy

Bal, Guillaume

63

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

64

Best-practice and average practice: technique choice and energy demand in a vintage model  

Science Journals Connector (OSTI)

Comparisons between best-practice use of energy and average practice have become quite popular ... in debates and scenarios about future need for energy, and sometimes fairly strong conclusions are drawn about lo...

Lennart Hjalmarsson; Finn R. Frsund

1992-01-01T23:59:59.000Z

65

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)"

66

Behavioral/Systems/Cognitive How the Optic Nerve Allocates Space, Energy Capacity,  

E-Print Network (OSTI)

Behavioral/Systems/Cognitive How the Optic Nerve Allocates Space, Energy Capacity, and Information twice the space and energy capacity. We conclude that the optic nerve conserves space space and energy efficiently, because both resources constrain neural computation. We found

Pennsylvania, University of

67

Tax Man Cometh: Income Taxation as a Measure of State Capacity  

E-Print Network (OSTI)

of state capacity. GDP per energy unit: Economic activityvalue) Indicator GDP per energy unit Average Correlation (p-

Weller, Nick; Ziegler, Melissa

2008-01-01T23:59:59.000Z

68

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"

69

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",," ",," "

70

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",," ",," "

71

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",," ",," "

72

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"

73

"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"

74

"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"

75

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

76

"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"

77

Free Energy Self-Averaging in Protein-Sized Random Heteropolymers  

E-Print Network (OSTI)

Current theories of heteropolymers are inherently macrpscopic, but are applied to folding proteins which are only mesoscopic. In these theories, one computes the averaged free energy over sequences, always assuming that it is self-averaging -- a property well-established only if a system with quenched disorder is macroscopic. By enumerating the states and energies of compact 18, 27, and 36mers on a simplified lattice model with an ensemble of random sequences, we test the validity of the self-averaging approximation. We find that fluctuations in the free energy between sequences are weak, and that self-averaging is a valid approximation at the length scale of real proteins. These results validate certain sequence design methods which can exponentially speed up computational design and greatly simplify experimental realizations.

Jeffrey Chuang; Alexander Yu. Grosberg; Mehran Kardar

2001-02-05T23:59:59.000Z

78

Energy Efficiency Analysis of MISO-OFDM Communication Systems Considering Power and Capacity Constraints  

E-Print Network (OSTI)

Energy Efficiency Analysis of MISO-OFDM Communication Systems Considering Power and Capacity subchannel capacity threshold. Moreover, the energy efficiency of MISO-OFDM communication systems starts-input single-output (MISO) . orthogonal frequency division multiplexing (OFDM) . energy efficiency. capacity

Wang, Cheng-Xiang

79

Capacity of Fading Gaussian Channel with an Energy Harvesting Sensor Node  

E-Print Network (OSTI)

there are inefficiencies in energy storage and the capacity when energy is spent in activities other than transmission. Keywords: Energy harvesting, sensor networks, fading chan- nel, Shannon capacity, inefficiencies in storage) and converts them to electrical energy. Common energy harvesting devices are solar cells, wind turbines

Sharma, Vinod

80

"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

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

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.

82

Exploring Opportunities for Energy Efficiency as a Revenue Stream in the Forward Capacity Markets  

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

Provides information for energy efficiency programs on the opportunities and challenges associated with participating in forward capacity markets and reliability pricing models as potential revenue streams.

83

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 +

84

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 +

85

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

86

High-energy average charged multiplicities from nuclei in a Regge-calculus model  

Science Journals Connector (OSTI)

Lehman and Winbow have used a Gribov Reggeon-calculus approach to derive expressions for average charge multiplicities in high-energy scattering off nuclei. They find the multiplicity to be n=bY+f(A), where b is independent of A. We show that a reasonable modification of their model yields n=b?A13Y+g(A), where b? is known. We find that this expression agrees with experimental data on dndY (where Y=lns) better than that of Lehman and Winbow, and agrees as well as the energy flux model of Gottfried.

R. T. Cutler and Dale R. Snider

1976-03-01T23:59:59.000Z

87

Use of energy-averaged cross sections for nuclear spectroscopy: Mg26 states in the continuum  

Science Journals Connector (OSTI)

Energy averaged cross sections for the C12(O18,?)Mg26 reaction were studied. Over 80 states between Ex(Mg26)=5and20 MeV were observed for many bombarding energies in the range E(O18)=46-50 MeV. Broad, noncorrelated structures observed in the excitation functions prevent the application of Hauser-Feshbach analysis for spin spectroscopy to this particular data set. By implication, our results cast doubt on the previously suggested backbend in the Mg26 yrast sequence.

M. M. Coimbra; N. Carlin Filho; A. Szanto de Toledo; P. M. Stwertka; M- G. Herman; N. G. Nicolis; T. M. Cormier

1984-12-01T23:59:59.000Z

88

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":""}]}

89

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 +

90

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

91

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 +

92

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 +

93

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

94

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

95

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

96

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

97

Throughput and Ergodic Capacity of Wireless Energy Harvesting Based DF Relaying Network  

E-Print Network (OSTI)

-to-point communication systems and studied rate-energy trade-off assuming single-input-single-output (SISO) [1], [3Throughput and Ergodic Capacity of Wireless Energy Harvesting Based DF Relaying Network Ali A-and-forward (DF) relaying network based on wireless energy harvesting. The energy constrained relay node first

Zhou, Xiangyun "Sean"

98

Indo-Australian Geothermal Energy Capacity Building Workshop February 8-9 2010, NGRI, Hyderabad.  

E-Print Network (OSTI)

Indo-Australian Geothermal Energy Capacity Building Workshop February 8-9 2010, NGRI, Hyderabad. Geothermal energy is known to be one of the clean energy without smoke and also without environmental hazards. In the present scenario, the details of geothermal energy, its importance and usage in other countries

Harinarayana, T.

99

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

100

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

Note: This page contains sample records for the topic "average energy capacity" from the National Library of EnergyBeta (NLEBeta).
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101

Factors predicting the capacity of Los Angeles city-region recreation programs to promote energy expenditure  

Science Journals Connector (OSTI)

Abstract An audit of recreation programs with moderate or higher levels of physical activity (PA) in Los Angeles area cities (N=82) was conducted using internet, telephone, and survey methods. Metabolic Equivalents (METs) were used to code programs? physical activity intensity. MET-hours per recreation program was associated with required age for enrollment, percent of residents >64 years of age, and fiscal capacity of cities. Capacity to promote energy expenditure may depend on targeted age groups, age of population, and municipal fiscal capacity. Cities with lower fiscal capacity might offer those higher MET-hour activities which require less specialized equipment and seek outside funding to offer higher MET programs.

Kim D. Reynolds; Nicholas Dahmann; Jennifer Wolch; Pascale Joassart-Marcelli; Genevieve Dunton; Diana Rudulph; Joshua Newell; Jennifer Thayer; Michael Jerrett

2014-01-01T23:59:59.000Z

102

Nanofluid heat capacities  

Science Journals Connector (OSTI)

Significant increases in the heat capacity of heat transfer fluids are needed not only to reduce the costs of liquid heating and cooling processes but also to bring clean energy producing technologies like concentrating solar power (CSP) to price parity with conventional energy generation. It has been postulated that nanofluids could have higher heat capacities than conventional fluids. In this work nano- and micron-sized particles were added to five base fluids (poly-? olefin mineral oil ethylene glycol a mixture of water and ethylene glycol and calcium nitrate tetrahydrate) and the resulting heat capacities were measured and compared with those of the neat base fluids and the weighted average of the heat capacities of the components. The particles used were inert metals and metal oxides that did not undergo any phase transitions over the temperature range studied. In the nanofluids studied here we found no increase in heat capacity upon the addition of the particles larger than the experimental error.

Anne K. Starace; Judith C. Gomez; Jun Wang; Sulolit Pradhan; Greg C. Glatzmaier

2011-01-01T23:59:59.000Z

103

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

Science Journals Connector (OSTI)

Macedonian energy sector is the main emitter of greenhouse gases with share of about 70% in the total annual emissions. Also 70%75% of emissions are associated with the electricity generation due to the predominant role of the lignite fuelled power plants. Recently the government has adopted a strategy for the use of renewable energy sources (RES) which identifies a target of 21% of final energy consumption from RES by 2020. In this paper analyses are conducted in order to investigate to which extent and in which way the absorption capacity of the power system for RES electricity can be improved. For this purpose combining various conventional and RES technologies including pump storage hydro power plant and revitalisation of the existing lignite power plants six scenarios for the power system expansion are developed by making use of EnergyPLAN model. Critical excess of electricity analyses are conducted in order to identify the maximal penetration of wind electricity. The results have shown that in the exiting capacities maximal penetration of wind electricity in 2020 is 13% of total electricity consumption. The revitalization of the existing lignite power plants and building of pump storage power plant would increase the wind penetration. Furthermore the developed scenarios are comparatively assessed in terms of the associated greenhouse gases emissions and import of electricity.

2013-01-01T23:59:59.000Z

104

Proving the achronal averaged null energy condition from the generalized second law  

SciTech Connect

A null line is a complete achronal null geodesic. It is proven that for any quantum fields minimally coupled to semiclassical Einstein gravity, the averaged null energy condition (ANEC) on null lines is a consequence of the generalized second law of thermodynamics for causal horizons. This result is shown to leading order in Planck's constant for perturbations to classical backgrounds satisfying the null energy condition. Auxiliary assumptions include CPT and the existence of a suitable renormalization scheme for the generalized entropy. Although the ANEC can be violated on general geodesics in curved spacetimes, as long as the ANEC holds on null lines there exist theorems showing that semiclassical gravity should satisfy positivity of energy, topological censorship, and should not admit closed timelike curves. It is pointed out that these theorems fail once the linearized graviton field is quantized, because then the renormalized shear-squared term in the Raychaudhuri equation can be negative. A 'shear-inclusive' generalization of the ANEC is proposed to remedy this, and is proven under an additional assumption about perturbations to horizons in classical general relativity.

Wall, Aron C. [Maryland Center for Fundamental Physics, Department of Physics, University of Maryland, College Park, Maryland 20740-4111 (United States)

2010-01-15T23:59:59.000Z

105

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

106

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

107

Estimation of the Energy and Capacity Savings in Texas from Appliance Efficiency Standards  

E-Print Network (OSTI)

The purpose of this presentation will be to assess the technical potential for energy and capacity savings in Texas by the year 2006 by the statewide adoption of minimum appliance efficiency standards equivalent to those recently adopted...

Verdict, M.

1986-01-01T23:59:59.000Z

108

High-Capacity High-Energy Ball Mill for Nanophase Materials  

Science Journals Connector (OSTI)

A high-energy high-capacity ball mill, which can be easily ... scaled-up, for the synthesis of nanophase materials is described. The synthesis of nanophase iron...

Diego Basset; Paolo Matteazzi; Fabio Miani

1994-01-01T23:59:59.000Z

109

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

110

Linear Relationship Between Weighted-Average Madelung and Density Functional Theory Energies for MgO Nanotubes  

E-Print Network (OSTI)

Energies for MgO Nanotubes Journal: The Journal of Physical Chemistry Manuscript ID: jp-2012-08041d.R1 Constants and Density Functional Theory Energies for MgO Nanotubes Mark D. Baker,*1 A. David Baker2 , Jane-average Madelung constants of MgO nanotubes correlate in an essentially perfectly linear way with cohesive energies

Hanusa, Christopher

111

Carbon-Aware Energy Capacity Planning for Datacenters  

E-Print Network (OSTI)

. Capital costs of deploying renewable energy generation equipment (e.g., wind turbines, solar panels) have to cap their carbon footprints at low cost. Recent work has shown the significant environmental benefits datacenter costs in the presence of different carbon footprint reduction goals, renewable energy

Urgaonkar, Bhuvan

112

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

SciTech Connect

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.

2014-03-21T23:59:59.000Z

113

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

114

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

115

Final Report: Human Capacity Building Grant for Renewable Energy Development  

SciTech Connect

Warm Springs Power and Water Enterprise (WSPWE), a Corporate Entity of the Confederated Tribes of Warm Springs Oregon, developed and distributed written materials, held workshops and field trips to educate tribal members on renewable energy projects that are a possibility utilizing resources on reservation. In order to build stronger public and Tribal Council support for the development of renewable energy projects on the reservation, WSPWE conducted a 12 month public education and technical expertise development program. The objectives of this program were to: â?¢ To build a knowledge base within the tribal community regarding renewable energy development potential and opportunities on reservation lands. â?¢ To educate the tribal community regarding development process, impacts and benefits. â?¢ To increase the technical expertise of tribal government and Tribal Council.

Wil Sando

2010-01-03T23:59:59.000Z

116

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

117

On the effect of spatial dispersion of wind power plants on the wind energy capacity credit  

Science Journals Connector (OSTI)

Wind energy is now a mature technology and can be considered as a significant contributor in reducing CO2 emissions and protecting the environment. To meet the wind energy national targets, effective implementation of massive wind power installed capacity in the power supply system is required. Additionally, capacity credit is an important issue for an unstable power supply system as in Greece. To achieve high and reliable wind energy penetration levels into the system, the effect of spatial dispersion of wind energy installations within a very wide area (e.g.national level) on the power capacity credit should be accounted for. In the present paper, a methodology for estimating the effect of spatial dispersion of wind farm installations on the capacity credit is presented and applied for the power supply system of Greece. The method is based on probability theory and makes use of wind forecasting models to represent the wind energy potential over any candidate area for future wind farm installations in the country. Representative wind power development scenarios are studied and evaluated. Results show that the spatial dispersion of wind power plants contributes beneficially to the wind capacity credit.

George Caralis; Yiannis Perivolaris; Konstantinos Rados; Arthouros Zervos

2008-01-01T23:59:59.000Z

118

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

119

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

120

E-Print Network 3.0 - average high energy Sample Search Results  

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

are being Summary: and high expectation. Will these developments and other renewable energy conversions one day replace fossil... the energy density of good quality coals is...

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

E-Print Network 3.0 - average beta energy Sample Search Results  

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

Project Summary: part High-energy part Existing (P. Delahaye) 12;Beta Beams in Beam Intensity and Magnet Cycle... dependent energy change (C. Omet) 12;Beta Beams in...

122

Policies for eliminating low-efficiency production capacities and improving energy efficiency of energy-intensive industries in China  

Science Journals Connector (OSTI)

Abstract China faced the greatest challenge in balancing its economic growth, energy and resource security as well as environmental pollution. The energy-intensive industries, which used to be the major force driving China?s economic growth, had seriously exhausted the countries? natural resources and energy, and at the same time polluted the environment because of the severe surplus of low-efficiency production capacities. As a result, the Chinese government had initiated multiple economic and administrative policies to eliminate these low-efficiency production capacities intended to improve the energy efficiency of energy-intensive industries. These policies are summarized in this paper, along with export tax rebating rate, resource tax, administrative audit and approvals, differential electric power pricing and shutting down the low-efficiency production capacities. The paper also evaluates the effects of these policies by analyzing several key indicators about the energy-intensive industries, including fixed asset investment growth rate, energy-intensity of industrial added-value, waste gas emission-intensity of industrial added-value. The VALDEX methodology is selected to examine the improving trends of energy-efficiency for energy-intensive industries. The analyzing results show that firstly the development of low-efficiency capacities tends to be more sensitive to the policies, so the policies that China had enacted really exert very important effects on improving the energy-efficiency of energy-intensive industries. However, the effects of economic policies seem more faster and obvious than the fiscal policies. Besides, the results also show that polices which are designed to reserve energy may not necessarily exert the same effects on reducing emissions. There is still large room for improving the energy efficiency of energy-intensive industries, substantial improvement still needs to be done for current policies system. Some suggestions for future work are provided.

Li Li; Jianjun Wang; Zhongfu Tan; Xinquan Ge; Jian Zhang; Xiaozhe Yun

2014-01-01T23:59:59.000Z

123

November 15, 2012 Webinar: Exploring Opportunities for Energy Efficiency as a Revenue Stream in the Forward Capacity Markets  

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

November 15, 2012 Webinar: Exploring Opportunities for Energy Efficiency as a Revenue Stream in the Forward Capacity Markets, Better Buildings Neighborhood Program; regional transmission organizations (RTOs)

124

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

125

Capacity Value of Concentrating Solar Power Plants  

SciTech Connect

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

126

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

127

E-Print Network 3.0 - averaged null energy Sample Search Results  

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

, high density integrated circuits with low energy consumption and low electromagnetic interference (EMI... . In this paper, we propose the use of the NULL Convention Logic...

128

"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",,,,," "

129

Temperature, Energy, and Heat Capacity of Asymptotically Anti-De Sitter Black Holes  

E-Print Network (OSTI)

We investigate the thermodynamical properties of black holes in (3+1) and (2+1) dimensional Einstein gravity with a negative cosmological constant. In each case, the thermodynamic internal energy is computed for a finite spatial region that contains the black hole. The temperature at the boundary of this region is defined by differentiating the energy with respect to entropy, and is equal to the product of the surface gravity (divided by~$2\\pi$) and the Tolman redshift factor for temperature in a stationary gravitational field. We also compute the thermodynamic surface pressure and, in the case of the (2+1) black hole, show that the chemical potential conjugate to angular momentum is equal to the proper angular velocity of the black hole with respect to observers who are at rest in the stationary time slices. In (3+1) dimensions, a calculation of the heat capacity reveals the existence of a thermodynamically stable black hole solution and a negative heat capacity instanton. This result holds in the limit that the spatial boundary tends to infinity only if the comological constant is negative; if the cosmological constant vanishes, the stable black hole solution is lost. In (2+1) dimensions, a calculation of the heat capacity reveals the existence of a thermodynamically stable black hole solution, but no negative heat capacity instanton.

J. D. Brown; J. Creighton; R. B. Mann

1994-05-03T23:59:59.000Z

130

Using Utility Bills and Average Daily Energy Consumption to Target Commissioning Efforts and Track Building Performance  

E-Print Network (OSTI)

energy. This sort of analysis can be done using relatively simple techniques such as a hand calculation or a spreadsheet and is the type of thing that any facility engineer or operator could handle and would be interested in. Techniques are also discussed...

Sellers, D.

2001-01-01T23:59:59.000Z

131

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

132

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

133

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 55, NO. 10, OCTOBER 2009 4543 On the Capacity and Energy Efficiency of  

E-Print Network (OSTI)

and Energy Efficiency of Training-Based Transmissions Over Fading Channels Mustafa Cenk Gursoy, Member, IEEE Abstract--In this paper, the capacity and energy efficiency of training-based communication schemes are analyzed and shown to improve the energy efficiency in the low-SNR regime. In the second part of this paper

Gursoy, Mustafa Cenk

134

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

SciTech Connect

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

135

THERMAL TREATMENT REVIEW . WTE I THERMAL TREATMENT Since the beginning of this century, global waste-to-energy capacity  

E-Print Network (OSTI)

of new waste-to gasification process at an industrial scale The Waste-To-Energy Research and Technology waste-to-energy capacity has increased steadily at the rate of about four million tonnes of MSW per year solid waste (MSW). Three dominant ,technologies _ those developed by The only true A global perspective

Columbia University

136

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

137

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

138

Design of Refractory Linings for Balanced Energy Efficiency, Uptime, and Capacity in Lime Kilns  

SciTech Connect

The rotary kilns used by the pulp and paper industry to regenerate lime in the Kraft process are very energy intensive. Throughout the 90 s, in response to increasing fuel prices, the industry used back up insulation in conjunction with the high alumina brick used to line the burning zones of their kilns. While this improved energy efficiency, the practice of installing insulating brick behind the working lining increased the inner wall temperatures. In the worst case, due to the increased temperatures, rapid brick failures occurred causing unscheduled outages and expensive repairs. Despite these issues, for the most part, the industry continued to use insulating refractory linings in that the energy savings were large enough to offset any increase in the cost of maintaining the refractory lining. Due to the dramatic decline in the price of natural gas in some areas combined with mounting pressures to increasing production of existing assets, over the last decade, many mills are focusing more on increasing the uptime of their kilns as opposed to energy savings. To this end, a growing number of mills are using basic (magnesia based) brick instead of high alumina brick to line the burning zone of the kiln since the lime mud does not react with these bricks at the operating temperatures of the burning zone of the kiln. In the extreme case, a few mills have chosen to install basic brick in the front end of the kiln running a length equivalent to 10 diameters. While the use of basic brick can increase the uptime of the kiln and reduce the cost to maintain the refractory lining, it does dramatically increase the heat losses resulting from the increased operating temperatures of the shell. Also, over long periods of time operating at these high temperatures, damage can occur in the shell. There are tradeoffs between energy efficiency, capacity and uptime. When fuel prices are very high, it makes sense to insulate the lining. When fuel prices are lower, trading some thermal efficiency for increased uptime and capacity seems reasonable. This paper considers a number of refractory linings in an effort to develop optimized operating strategies that balance these factors. In addition to considering a range of refractory materials, the paper examines other factors such as the chain area, discharge dams and other operating variables that impact the service life of the refractory lining. The paper provides recommendations that will help mill personnel develop a strategy to select a refractory lining that is optimized for their specific situation.

Gorog, John Peter [ORNL; Hemrick, James Gordon [ORNL; Walker, Harold [Refratechnik North America, Inc.; Leary, William R [ORNL; Ellis, Murray [Australian Paper, Co.

2014-01-01T23:59:59.000Z

139

Problems of regional energy provision in the energy strategy of Russia to 2030 and prospects for low-capacity nuclear power plant development  

Science Journals Connector (OSTI)

One problem of energy policy is stimulation of comprehensive development of a regional power supply, including power generation by low-capacity nuclear power plants in the regions where such sources could be comp...

N. I. Voropai; O. V. Marchenko; V. A. Stennikov

2012-03-01T23:59:59.000Z

140

Energy efficiency as a resource in the ISO New England Forward Capacity Market  

Science Journals Connector (OSTI)

Resources associated with the Efficiency Vermont portfolio have successfully cleared all three auctions, ... 2012. The largest cleared capacity commitment in Vermont comes from the Vermont Yankee nuclear generati...

Cheryl Jenkins; Chris Neme; Shawn Enterline

2011-02-01T23:59:59.000Z

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.


141

Electricity investments and development of power generation capacities : An approach of the drivers for investment choices in Europe regarding nuclear energy.  

E-Print Network (OSTI)

??In a context of growing energy prices and climate change mitigation, the thesis addresses the issues of investments in power generation capacities and in particular (more)

Shoai Tehrani, Bianka

2014-01-01T23:59:59.000Z

142

Capacity allocation of a hybrid energy storage system for power system peak shaving at high wind power penetration level  

Science Journals Connector (OSTI)

Abstract High wind power penetration in power system leads to a significant challenge in balancing power production and consumption due to the intermittence of wind. Introducing energy storage system in wind energy system can help offset the negative effects, and make the wind power controllable. However, the power spectrum density of wind power outputs shows that the fluctuations of wind energy include various components with different frequencies and amplitudes. This implies that the hybrid energy storage system is more suitable for smoothing out the wind power fluctuations effectively rather than the independent energy storage system. In this paper, we proposed a preliminary scheme for capacity allocation of hybrid energy storage system for power system peak shaving by using spectral analysis method. The unbalance power generated from load dispatch plan and wind power outputs is decomposed into four components, which are outer-day, intra-day, short-term and very short-term components, by using Discrete Fourier Transform (DFT) and spectral decomposition method. The capacity allocation can be quantified according to the information in these components. The simulation results show that the power rating and energy rating of hybrid energy storage system in partial smoothing mode decrease significantly in comparison with those in fully smoothing mode.

Pan Zhao; Jiangfeng Wang; Yiping Dai

2015-01-01T23:59:59.000Z

143

CO2 mitigation costs for new renewable energy capacity in the Mexican electricity sector using renewable energies  

Science Journals Connector (OSTI)

Carbon dioxide mitigation costs for the Mexican power sector are calculated in order to compare the business as usual (BAU) scenario, based on natural gas capacity growth, to a transition scenario where electricity generation growth using natural gas after 2007 is replaced by renewable energies (solar, wind, hydro and biomass). The mitigation costs are obtained using the following parameters: natural gas price, discount rate and technological progress. The latter is expressed in terms of the anticipated decrease in capital costs, as reported in electricity generation technological literature. Our results show that when technological progress is considered, CO2 mitigation costs decrease rapidly from 14 $/tCO2 (in this paper $ express 1997 US dollars and t means metric tons) to zero when the price of natural gas nears 2.68 $/GJ, (for some readers, it can be useful to know that 1.0 US$1997/GJ is 1.19 US$2001/MMBTU) which is almost the same as the 2002 price. This means that for middle natural gas prices a no regrets situation can be achieved. Our results also show that for prices higher than 2.80 $/GJ, the incorporation of the technological progress parameter transforms the transition scenario into a no regrets scenario for all the discount rate values considered in this study.

Jorge Islas; Fabio Manzini; Manuel Mart??nez

2004-01-01T23:59:59.000Z

144

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)

145

EIA - Electricity Generating Capacity  

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

Electricity Generating Capacity Release Date: January 3, 2013 | Next Release: August 2013 Year Existing Units by Energy Source Unit Additions Unit Retirements 2011 XLS XLS XLS 2010...

146

Average Residential Price  

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

Data Series: Average Residential Price Residential Price - Local Distribution Companies Residential Price - Marketers Residential % Sold by Local Distribution Companies Average...

147

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

E-Print Network (OSTI)

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...

Patel, S. S.

1982-01-01T23:59:59.000Z

148

Network Capacity Assessment of CHP-based Distributed Generation on Urban Energy Distribution Networks.  

E-Print Network (OSTI)

??The combined heat and power (CHP)-based distributed generation (DG) or dis-tributed energy resources (DERs) are mature options available in the present energy mar-ket, considered to (more)

Zhang, Xianjun

2013-01-01T23:59:59.000Z

149

IEEE TRANS. INFORM. THEORY 1 Capacity of Gaussian Channels with Energy  

E-Print Network (OSTI)

cells, wind turbines and piezo-electric cells, which extract energy from the environment. Among these reliably over an additive white Gaussian noise channel using such an energy harvesting sensor node

Sharma, Vinod

150

Energy Substrate Modulates Mitochondrial Structure and Oxidative Capacity in Cancer Cells  

Science Journals Connector (OSTI)

...and the effect that energy substrate type has...novel ratiometric green fluorescent protein...and the effect that energy substrate type has...lines incorporating green fluorescent protein...and the effect that energy substrate type has...novel ratiometric green fluorescent protein...

Rodrigue Rossignol; Robert Gilkerson; Robert Aggeler; Kunihiro Yamagata; S. James Remington; and Roderick A. Capaldi

2004-02-01T23:59:59.000Z

151

Functional capacities and the adenylate energy charge in Escherichia coli under conditions of nutritional stress.  

Science Journals Connector (OSTI)

...utilization of new substrates, and...with the adenylate energy charge of the culture...for adaptation to new substrates as long as the energy charge can be stabilized...Sons, Inc., New York. 18. Swedes...the aden- ylate energy charge in an adenine-requiring...

M Walker-Simmons; D E Atkinson

1977-05-01T23:59:59.000Z

152

Differences in the capacity for radiationless energy dissipation in the photochemical apparatus of green and blue-green algal lichens associated with differences in carotenoid composition  

Science Journals Connector (OSTI)

Green algal lichens, which were able to form ... exhibited a high capacity to dissipate excess excitation energy nonradiatively in the antenna chlorophyll as indicated...M, the maximum yield of fluorescence induc...

Barbara Demmig-Adams; William W. Adams III; Franz-C. Czygan; Ulrich Schreiber

1990-03-01T23:59:59.000Z

153

Change in stacking-fault energy with Mn content and its influence on the damping capacity of the austenitic phase in Fe-high Mn alloys  

Science Journals Connector (OSTI)

The effect of Mn content on the damping capacity of ? austenitic ... been studied in relation to the stacking-fault energy ( SFE), on the basis of ... austenite decreases with the increase in the Mn content. The ...

Joong-Hwan Jun; Chong-Sool Choi

154

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

155

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

156

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

157

Energy and Capacity Valuation of Photovoltaic Power Generation in New York  

E-Print Network (OSTI)

Perez & Thomas E. Hoff, Clean Power Research for the Solar Alliance and the N r Energy Industry between peak demand and solar resource availability both downstate and upstate, the generation energy: What is the Value of PV? System Owners Utility Constituents Equipment cost Incentives benefit cost

Perez, Richard R.

158

Queuing Theoretic and Information Theoretic Capacity of Energy Harvesting Sensor Nodes  

E-Print Network (OSTI)

devices are solar cells, wind turbines and piezo-electric cells, which extract energy from the environment. Among these, harvesting solar energy through photo-voltaic effect seems to have emerged as a technology of choice for many sensor nodes ([3], [4]). One of the problems with generating electricity from solar and

Sharma, Vinod

159

Energy-Efficient Capacity Upgrade in Optical Networks with Mixed Line Rates  

Science Journals Connector (OSTI)

We investigate the energy-efficient network upgrade problem. The traffic growth in a mixed-line-rate (10/40/100 Gbps) optical network is supported through both non-disruptive and...

Nag, Avishek; Tornatore, Massimo; Wang, Ting; Mukherjee, Biswanath

160

Modeling the performance of small capacity lithium bromide-water absorption chiller operated by solar energy  

SciTech Connect

An analysis of the performance of a solar operated small capacity (two-ton) Lithium Bromide-Water (LiBr-H{sub 2}O) absorption system is conducted. The analysis is based on the first law of thermodynamics with lithium bromide as the absorbent and water as the refrigerant. The effect of various parameters affecting the machine coefficient of performance under various operating conditions is reported. Coefficient of performance of up to 0.8 can be obtained using flat plate solar collectors with generator temperatures in the range of 80--95 C (176--203 F). Liquid heat exchangers with effectiveness based on an NTU of the order of one would be a good design choice. The chiller can save approximately 3,456 kWh/yr per a two-ton unit, and it will reduce emissions by 19 lb of NO{sub x}, 5,870 lb of CO{sub 2}, and 16 lb of SO{sub x} per year per machine.

Saman, N.F. [Texas A and M Univ., College Station, TX (United States). Energy Systems Lab.; Sa`id, W.A.D.K. [Univ. of Technology, Baghdad (Iraq). Control and Systems Engineering Dept.

1996-12-31T23:59:59.000Z

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
to obtain the most current and comprehensive results.


161

Capacity Value of Solar Power  

SciTech Connect

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

162

Energy savings in one-pipe steam heating systems fitted with high-capacity air vents. Final report  

SciTech Connect

Multifamily buildings heated by one-pipe steam systems experience significant temperature gradients from apartment to apartment, often reaching 15{degrees}F. As a result, many tenants are to cold, or if the heating system output is increased so as to heat the coldest apartment adequately, too hot. While both are undesirable, the second is particularly so because it wastes energy. It was thought that insufficient air venting of the steam pipes contributed to the gradient. Theoretically, if steam mains and risers are quickly vented, steam will reach each radiator at approximately the same time and balance apartment temperatures. The project`s objective was to determine if the installation of large-capacity air vents at the ends of steam mains and risers would economically reduce the temperature gradient between apartments and reduce the amount of space heating energy required. The test was conducted by enabling and disabling air vents biweekly in 10 multifamily buildings in New York City between December 1992 to May 1993. The temperatures of selected apartments and total space heating energy were compared during each venting regime. There was no difference in energy consumption between ``vents on`` and ``vents off`` periods (see Tables 2 and 5); however, there was a reduction in the maximum spread of apartment temperatures.

Not Available

1994-09-01T23:59:59.000Z

163

WINDExchange: Wind Potential Capacity  

Wind Powering America (EERE)

area with a gross capacity factor1 of 35% and higher, which may be suitable for wind energy development. AWS Truepower LLC produced the wind resource data with a spatial...

164

Americans' Average Radiation Exposure  

SciTech Connect

We live with radiation every day. We receive radiation exposures from cosmic rays, from outer space, from radon gas, and from other naturally radioactive elements in the earth. This is called natural background radiation. It includes the radiation we get from plants, animals, and from our own bodies. We also are exposed to man-made sources of radiation, including medical and dental treatments, television sets and emission from coal-fired power plants. Generally, radiation exposures from man-made sources are only a fraction of those received from natural sources. One exception is high exposures used by doctors to treat cancer patients. Each year in the United States, the average dose to people from natural and man-made radiation sources is about 360 millirem. A millirem is an extremely tiny amount of energy absorbed by tissues in the body.

NA

2000-08-11T23:59:59.000Z

165

Effect of Inhibitors on the Ubiquinone Binding Capacity of the Primary Energy Conversion Site in the Rhodobacter capsulatus Cytochrome bc1 Complex  

E-Print Network (OSTI)

Effect of Inhibitors on the Ubiquinone Binding Capacity of the Primary Energy Conversion Site-transducing organelles. The key primary energy conversion reaction of this complex is the two-electron oxidation: A key issue concerning the primary conversion (QO) site function in the cytochrome bc1 complex

Gibney, Brian R.

166

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

167

Unimodular Gravity and Averaging  

E-Print Network (OSTI)

The question of the averaging of inhomogeneous spacetimes in cosmology is important for the correct interpretation of cosmological data. In this paper we suggest a conceptually simpler approach to averaging in cosmology based on the averaging of scalars within unimodular gravity. As an illustration, we consider the example of an exact spherically symmetric dust model, and show that within this approach averaging introduces correlations (corrections) to the effective dynamical evolution equation in the form of a spatial curvature term.

A. Coley; J. Brannlund; J. Latta

2011-02-16T23:59:59.000Z

168

HFAG Charm Mixing Averages  

E-Print Network (OSTI)

Recently the first evidence for charm mixing has been reported by several experiments. To provide averages of these mixing results and other charm results, a new subgroup of the Heavy Flavor Averaging Group has been formed. We here report on the method and results of averaging the charm mixing results.

B. Aa. Petersen

2007-12-10T23:59:59.000Z

169

Fundamentals of Capacity Control  

Science Journals Connector (OSTI)

Whereas capacity planning determines in advance the capacities required to implement a production program, capacity control determines the actual capacities implemented shortly beforehand. The capacity control...

Prof. Dr.-Ing. habil. Hermann Ldding

2013-01-01T23:59:59.000Z

170

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

171

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.

172

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

173

Madelung Fluid Model for The Most Likely Wave Function of a Single Free Particle in Two Dimensional Space with a Given Average Energy  

E-Print Network (OSTI)

We consider spatially two dimensional Madelung fluid whose irrotational motion reduces into the Schr\\"odinger equation for a single free particle. In this respect, we regard the former as a direct generalization of the latter, allowing a rotational quantum flow. We then ask for the most likely wave function possessing a given average energy by maximizing the Shannon information entropy over the quantum probability density. We show that there exists a class of solutions in which the wave function is self-trapped, rotationally symmetric, spatially localized with finite support, and spinning around its center, yet stationary. The stationarity comes from the balance between the attractive quantum force field of a trapping quantum potential generated by quantum probability density and the repulsive centrifugal force of a rotating velocity vector field. We further show that there is a limiting case where the wave function is non-spinning and yet still stationary. This special state turns out to be the lowest stationary state of the ordinary Schr\\"odinger equation for a particle in a cylindrical tube classical potential.

Agung Budiyono; Ken Umeno

2009-02-23T23:59:59.000Z

174

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

175

VOLUME 87, NUMBER 7 P H Y S I C A L R E V I E W L E T T E R S 13 AUGUST 2001 Free Energy Self-Averaging in Protein-Sized Random Heteropolymers  

E-Print Network (OSTI)

-Averaging in Protein-Sized Random Heteropolymers Jeffrey Chuang,1 Alexander Yu. Grosberg,2,3 and Mehran Kardar1,4 1 of heteropolymers are inherently macroscopic, but are applied to mesoscopic proteins. To compute the free energy. By enumerating the states and energies of compact 18, 27, and 36mers on a lattice with an ensemble of random

Chuang, Jeffrey

176

"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"

177

Advanced Methods for Incorporating Solar Energy Technologies into Electric Sector Capacity-Expansion Models: Literature Review and Analysis  

SciTech Connect

Because solar power is a rapidly growing component of the electricity system, robust representations of solar technologies should be included in capacity-expansion models. This is a challenge because modeling the electricity system--and, in particular, modeling solar integration within that system--is a complex endeavor. This report highlights the major challenges of incorporating solar technologies into capacity-expansion models and shows examples of how specific models address those challenges. These challenges include modeling non-dispatchable technologies, determining which solar technologies to model, choosing a spatial resolution, incorporating a solar resource assessment, and accounting for solar generation variability and uncertainty.

Sullivan, P.; Eurek, K.; Margolis, R.

2014-07-01T23:59:59.000Z

178

A robust distance measurement and dark energy constraints from the spherically averaged correlation function of Sloan Digital Sky Survey luminous red Galaxies  

Science Journals Connector (OSTI)

......measurement and dark energy constraints...Digital Sky Survey luminous red...Digital Sky Survey (SDSS) data...assuming a dark energy model or a...constraints on the dark energy and cosmological...largest effective survey volume to date......

Chia-Hsun Chuang; Yun Wang; Maddumage Don P. Hemantha

2012-06-21T23:59:59.000Z

179

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

180

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

Note: This page contains sample records for the topic "average energy capacity" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
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181

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

182

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

183

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

184

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

185

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

186

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

E-Print Network (OSTI)

). More envi- ronmentally benign and sustainable energy-storage systems are desired for future power for high-energy lithium battery applications. 1. Introduction Energy storage and conversion have sources.1­6 Lithium-ion batteries are considered to be the most promising energy-storage systems

Cao, Guozhong

187

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

188

Capacity Markets for Electricity  

E-Print Network (OSTI)

ternative Approaches for Power Capacity Markets, Papers andprof id=pjoskow. Capacity Markets for Electricity [13]Utility Commission- Capacity Market Questions, available at

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

189

Energy Reallocation during and after Periods of Nutritional Stress in Steller Sea Lions: Low-Quality Diet Reduces Capacity for  

E-Print Network (OSTI)

516 Energy Reallocation during and after Periods of Nutritional Stress in Steller Sea Lions: Low-Quality to their fitness. Both sea lion groups consumed high-quality fish (herring) before and after the energy of low-quality fish (pollock). Quantitative estimates of mainte- nance and production energies

190

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.

Not Available

1993-04-01T23:59:59.000Z

191

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

192

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

193

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

194

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?

195

WINDExchange: U.S. Installed Wind Capacity  

Wind Powering America (EERE)

The animation shows the progress of installed wind capacity between 1999 and 2013. The Energy Department's annual Wind Technologies Market Report provides information about wind...

196

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)

197

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

198

Monitoring Infrastructure Capacity Monitoring Infrastructure Capacity  

E-Print Network (OSTI)

Levinson, D. (2000) Monitoring Infrastructure Capacity p. 165-181 in Land Market Monitoring for Smart Urban) task. Monitoring infrastructure capacity is at least as complex as monitoring urban land markets Levinson, D. (2000) Monitoring Infrastructure Capacity p. 165-181 in Land Market Monitoring for Smart Urban

Levinson, David M.

199

Viscosity-average molecular weight  

Science Journals Connector (OSTI)

n .... An averaged molecular weight for high polymers that relates most closely to measurements of dilute-solution viscosities ...

2007-01-01T23:59:59.000Z

200

Refinery Capacity Report  

Annual Energy Outlook 2012 (EIA)

Report --- Full report in PDF (1 MB) XLS --- Refinery Capacity Data by individual refinery as of January 1, 2006 Tables 1 Number and Capacity of Operable Petroleum...

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

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)

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...

Atamaca, Merve; Kalaycioglu, Ece; Yilmaz, Zerrin

2011-10-01T23:59:59.000Z

202

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 . . . . . . .

203

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

204

Averaging Hypotheses in Newtonian Cosmology  

E-Print Network (OSTI)

Average properties of general inhomogeneous cosmological models are discussed in the Newtonian framework. It is shown under which circumstances the average flow reduces to a member of the standard Friedmann--Lema\\^\\i tre cosmologies. Possible choices of global boundary conditions of inhomogeneous cosmologies as well as consequences for the interpretation of cosmological parameters are put into perspective.

T. Buchert

1995-12-20T23:59:59.000Z

205

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

206

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

207

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

208

First mideast capacity planned  

SciTech Connect

Kuwait catalyst Co.`s (KCC) plans to build a hydrodesulfurization (HDS) catalysts plant in Kuwait will mark the startup of the first refining catalysts production in the Persian Gulf region. KCC, owned by a conglomerate of Kuwait companies and governmental agencies, has licensed catalyst manufacturing technology from Japan Energy in a deal estimated at more than 7 billion ($62 million). Plant design will be based on technology from Orient Catalyst, Japan Energy`s catalysts division. Construction is expected to begin in January 1997 for production startup by January 1998. A source close to the deal says the new plant will eventually reach a capacity of 5,000 m.t./year of HDS catalysts to supply most of Kuwait`s estimated 3,500-m.t./year demand, driven primarily by Kuwait National Petroleum refineries. KCC also expects to supply demand from other catalyst consumers in the region. Alumina supply will be acquired on the open market. KCC will take all production from the plant and will be responsible for marketing.

Fattah, H.

1996-11-06T23:59:59.000Z

209

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

210

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

211

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:

212

Representation of the Solar Capacity Value in the ReEDS Capacity Expansion Model: Preprint  

SciTech Connect

An important emerging issue is the estimation of renewables' contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to resource variability. Reliability-based methods, particularly, effective load-carrying capacity (ELCC), are considered to be the most robust techniques for addressing this resource variability. The Regional Energy Deployment System (ReEDS) capacity expansion model and other long-term electricity capacity planning models require an approach to estimating CV for generalized PV and system configurations with low computational and data requirements. In this paper we validate treatment of solar photovoltaic (PV) capacity value by ReEDS capacity expansion model by comparing model results to literature for a range of energy penetration levels. Results from the ReEDS model are found to compare well with both comparisons--despite not being resolved at an hourly scale.

Sigrin, B.; Sullivan, P.; Ibanez, E.; Margolis, R.

2014-08-01T23:59:59.000Z

213

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

214

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

215

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 .........................................................................

216

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

217

The Effect of Temperature on Capacity and Power in Cycled Lithium Ion Batteries  

SciTech Connect

The Idaho National Laboratory (INL) tested six Saft America HP-12 (Generation 2000), 12-Ah lithium ion cells to evaluate cycle life performance as a power assist vehicle battery. The cells were tested to investigate the effects of temperature on capacity and power fade. Test results showed that five of the six cells were able to meet the Power Assist Power and Energy Goals at the beginning of test and after 300,000 cycles using a Battery Size Factor of 44.3 cells. The initial Static Capacity tests showed that the capacities of the cells were stable for three discharges and had an average of 16.4 Ah. All the cells met the Self-Discharge goal, but failed to meet the Cold Cranking goal. As is typical for lithium ion cells, both power and capacity were diminished during the low-temperature Thermal Performance test and increased during the high-temperature Thermal Performance test. Capacity faded as expected over the course of 300,000 life cycles and showed a weak inverse relationship to increasing temperature. Power fade was mostly a result of cycling while temperature had a minor effect compared to cycle life testing. Consequently, temperature had very little effect on capacity and power fade for the proprietary G4 chemistry.

Jeffrey R. Belt

2005-03-01T23:59:59.000Z

218

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

219

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)

220

Surface Contribution to Electronic Density of States, Heat-Capacity, and Spin Susceptibility  

E-Print Network (OSTI)

, Muhlschlegel, and Scalapino' considered the heat capacity and spin susceptibility of small metallic particles, taking into account the fact that the electronic energy levels are discrete. The average spacing between levels at the Fermi surface, 5, is given... by 1/p(E~), where p(E) is the density of states and Er is the Fermi energy, For particles which are about 100 A in each dimension, 5/ks 1 K~ where ks ls the Boltzmann constant. Their results indicate that if 0 7 ?,5, where T is the temperature...

KENNER, VE; Allen, Roland E.

1975-01-01T23:59:59.000Z

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.


221

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.

222

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.

223

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.

224

Abstract Interpretation for Worst and Average Case Analysis  

E-Print Network (OSTI)

energy usage whilst bounding the average number of requests waiting to be served. PRISM is used phase extracts a control flow graph ­ for some classes of language this may already involve an abstract

Di Pierro, Alessandra

225

Table 17. Recoverable Coal Reserves and Average Recovery Percentage...  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type, 2012 (million short tons) U.S. Energy Information...

226

Panama Canal capacity analysis  

SciTech Connect

Predicting the transit capacities of the various Panama Canal alternatives required analyzing data on present Canal operations, adapting and extending an existing computer simulation model, performing simulation runs for each of the alternatives, and using the simulation model outputs to develop capacity estimates. These activities are summarized in this paper. A more complete account may be found in the project final report (TAMS 1993). Some of the material in this paper also appeared in a previously published paper (Rosselli, Bronzini, and Weekly 1994).

Bronzini, M.S. [Oak Ridge National Lab., Knoxville, TN (United States). Center for Transportation Analysis

1995-04-27T23:59:59.000Z

227

Year Average Transportation Cost of Coal  

Gasoline and Diesel Fuel Update (EIA)

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

228

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

229

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

230

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.

231

Average deployments versus missile and defender parameters  

SciTech Connect

This report evaluates the average number of reentry vehicles (RVs) that could be deployed successfully as a function of missile burn time, RV deployment times, and the number of space-based interceptors (SBIs) in defensive constellations. Leakage estimates of boost-phase kinetic-energy defenses as functions of launch parameters and defensive constellation size agree with integral predictions of near-exact calculations for constellation sizing. The calculations discussed here test more detailed aspects of the interaction. They indicate that SBIs can efficiently remove about 50% of the RVs from a heavy missile attack. The next 30% can removed with two-fold less effectiveness. The next 10% could double constellation sizes. 5 refs., 7 figs.

Canavan, G.H.

1991-03-01T23:59:59.000Z

232

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

233

Capacity of steganographic channels  

Science Journals Connector (OSTI)

An information-theoretic approach is used to determine the amount of information that may be safely transferred over a steganographic channel with a passive adversary. A steganographic channel, or stego-channel is a pair consisting of the channel transition ... Keywords: information spectrum, information theory, steganalysis, steganographic capacity, steganography, stego-channel

Jeremiah J. Harmsen; William A. Pearlman

2005-08-01T23:59:59.000Z

234

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

235

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

236

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)

237

Influence of Surface Structure on the Capacity and Irreversible Capacity Loss of Sn-Based Anodes for Lithium Ion Batteries  

Science Journals Connector (OSTI)

(1-5) Numerous solar and wind power energy plants have been invested in to exploit sustainable and renewable energy. ... These materials demonstrate discharge capacities on the order of 1000 mAh/(g Sn), which is consistent with the alloying capacity limit of 4.4 Li atoms per Sn atom, or 991 mAh/(g Sn). ...

Li Li; Xuan Liu; Shulan Wang; Wenzhi Zhao

2014-05-19T23:59:59.000Z

238

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

239

High-temperature gasification of carbon-containing raw materials with the use of electric-arc energy and calorific capacity of the gas fuel  

Science Journals Connector (OSTI)

Disposal of carbon-containing wastes in a plasma furnace is studied. The influence of the plasma generator power on gasifier efficiency is found for different waste humidities; dependences of specific energy c...

A. V. Pinaev; V. A. Faleev; A. E. Urbakh

2011-03-01T23:59:59.000Z

240

Representation of Solar Capacity Value in the ReEDS Capacity Expansion Model  

SciTech Connect

An important issue for electricity system operators is the estimation of renewables' capacity contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to the resource variability. Reliability-based methods, particularly assessment of the Effective Load-Carrying Capacity, are considered to be the most robust and widely-accepted techniques for addressing this resource variability. This report compares estimates of solar PV capacity value by the Regional Energy Deployment System (ReEDS) capacity expansion model against two sources. The first comparison is against values published by utilities or other entities for known electrical systems at existing solar penetration levels. The second comparison is against a time-series ELCC simulation tool for high renewable penetration scenarios in the Western Interconnection. Results from the ReEDS model are found to compare well with both comparisons, despite being resolved at a super-hourly temporal resolution. Two results are relevant for other capacity-based models that use a super-hourly resolution to model solar capacity value. First, solar capacity value should not be parameterized as a static value, but must decay with increasing penetration. This is because -- for an afternoon-peaking system -- as solar penetration increases, the system's peak net load shifts to later in the day -- when solar output is lower. Second, long-term planning models should determine system adequacy requirements in each time period in order to approximate LOLP calculations. Within the ReEDS model we resolve these issues by using a capacity value estimate that varies by time-slice. Within each time period the net load and shadow price on ReEDS's planning reserve constraint signals the relative importance of additional firm capacity.

Sigrin, B.; Sullivan, P.; Ibanez, E.; Margolis, R.

2014-03-01T23:59:59.000Z

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

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......................................

242

Tribal Energy Program | Department of Energy  

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

Tribal 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...

243

Averaged dynamics of ultra-relativisitc charged particles beams  

E-Print Network (OSTI)

In this thesis, we consider the suitability of using the charged cold fluid model in the description of ultra-relativistic beams. The method that we have used is the following. Firstly, the necessary notions of kinetic theory and differential geometry of second order differential equations are explained. Then an averaging procedure is applied to a connection associated with the Lorentz force equation. The result of this averaging is an affine connection on the space-time manifold. The corresponding geodesic equation defines the averaged Lorentz force equation. We prove that for ultra-relativistic beams described by narrow distribution functions, the solutions of both equations are similar. This fact justifies the replacement of the Lorentz force equation by the simpler {\\it averaged Lorentz force equation}. After this, for each of these models we associate the corresponding kinetic model, which are based on the Vlasov equation and {\\it averaged Vlasov equation} respectively. The averaged Vlasov equation is simpler than the original Vlasov equation. This fact allows us to prove that the differential operation defining the averaged charged cold fluid equation is controlled by the {\\it diameter of the distribution function}, by powers of the {\\it energy of the beam} and by the time of evolution $t$. We show that the Vlasov equation and the averaged Vlasov equation have similar solutions, when the initial conditions are the same. Finally, as an application of the {\\it averaged Lorentz force equation} we re-derive the beam dynamics formalism used in accelerator physics from the Jacobi equation of the averaged Lorentz force equation.

Ricardo Gallego Torrom

2012-06-19T23:59:59.000Z

244

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 for the anoma- lous enhancement of thermal conductivity over that of the neat solvent. Eastman et al. [5] reported thermal conductivity enhance- ment of 30% and 60% for water based nanofluids of Al2O3 and Cu

Banerjee, Debjyoti

245

Coordination of Energy Efficiency and Demand Response  

E-Print Network (OSTI)

to ensure reliability. Capacity market programs: Customerswholesale, forward capacity markets offer new opportunitiesinto the forward-capacity market. Coordination of Energy

Goldman, Charles

2010-01-01T23:59:59.000Z

246

ROBUSTNESS OF ISS SYSTEMS TO INPUTS WITH LIMITED MOVING AVERAGE, WITH APPLICATION TO SPACECRAFT  

E-Print Network (OSTI)

. Cybernetics, O. S. Bragstads plass 2D, NTNU, 7491 Trondheim, NORWAY bUniv. Paris Sud 11 - L2S - EECI - Sup to a class of signals with bounded average-energy, which encompasses the typical disturbances acting on space, energy, average energy, etc.) are typ- ically available. These perturbing signals may have diverse

Boyer, Edmond

247

Study on capacity optimization of PEM fuel cell and hydrogen mixing gas-engine compound generator  

Science Journals Connector (OSTI)

Development of a small-scale power source not dependent on commercial power may result in various effects. For example, it may eliminate the need for long distance power-transmission lines, and mean that the amount of green energy development is not restricted to the dynamic characteristics of a commercial power grid. Moreover, the distribution of the independent energy source can be optimized with regionality in mind. This paper examines the independent power supply system relating to hydrogen energy. Generally speaking, the power demand of a house tends to fluctuate considerably over the course of a day. Therefore, when introducing fuel cell cogeneration into an apartment house, etc., low-efficiency operations in a low-load region occur frequently in accordance with load fluctuation. Consequently, the hybrid cogeneration system (HCGS) that uses a solid polymer membrane-type fuel cell (PEM-FC) and a hydrogen mixture gas engine (NEG) together to improve power generation efficiency during partial load of fuel cell cogeneration is proposed. However, since facility costs increase, if the HCGS energy cost is not low compared with the conventional method, it is disadvantageous. Therefore, in this paper, HCGS is introduced into 10 household apartments in Tokyo, and the power generation efficiency, carbon dioxide emissions and optimal capacity of a boiler and heat storage tank are investigated through analysis. Moreover, the system characteristics change significantly based on the capacity of PEM-FC and NEG that compose HCGS. Therefore, in this study, the capacity of PEM-FC and that of NEG are investigated, as well as the power generation efficiency, carbon dioxide emissions and the optimal capacity of a boiler and heat storage tank. Analysis revealed that the annual average power generation efficiency when the capacity of PEM-FC and NEG is 5kW was 27.3%. Meanwhile, the annual average power generation efficiency of HCGS is 1.37 times that of the PEM-FC independent system, and 1.28 times that of the NEG independent system, respectively.

Shinya Obara; Itaru Tanno

2007-01-01T23:59:59.000Z

248

Modeling Climate-Water Impacts on Electricity Sector Capacity Expansion: Preprint  

SciTech Connect

Climate change has the potential to exacerbate water availability concerns for thermal power plant cooling, which is responsible for 41% of U.S. water withdrawals. This analysis describes an initial link between climate, water, and electricity systems using the National Renewable Energy Laboratory (NREL) Regional Energy Deployment System (ReEDS) electricity system capacity expansion model. Average surface water projections from Coupled Model Intercomparison Project 3 (CMIP3) data are applied to surface water rights available to new generating capacity in ReEDS, and electric sector growth is compared with and without climate-influenced water rights. The mean climate projection has only a small impact on national or regional capacity growth and water use because most regions have sufficient unappropriated or previously retired water rights to offset climate impacts. Climate impacts are notable in southwestern states that purchase fewer water rights and obtain a greater share from wastewater and other higher-cost water resources. The electric sector climate impacts demonstrated herein establish a methodology to be later exercised with more extreme climate scenarios and a more rigorous representation of legal and physical water availability.

Cohen, S. M.; Macknick, J.; Averyt, K.; Meldrum, J.

2014-05-01T23:59:59.000Z

249

"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"

250

"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"

251

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.

252

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.

253

The Program Administrator Cost of Saved Energy for Utility Customer-Funded Energy Efficiency Programs  

E-Print Network (OSTI)

ISO/RTO forward capacity markets, or as an environmentalfor wholesale energy and capacity markets. More rigorous and

Billingsley, Megan A.

2014-01-01T23:59:59.000Z

254

Regional averaging and scaling in relativistic cosmology  

E-Print Network (OSTI)

Averaged inhomogeneous cosmologies lie at the forefront of interest, since cosmological parameters like the rate of expansion or the mass density are to be considered as volume-averaged quantities and only these can be compared with observations. For this reason the relevant parameters are intrinsically scale-dependent and one wishes to control this dependence without restricting the cosmological model by unphysical assumptions. In the latter respect we contrast our way to approach the averaging problem in relativistic cosmology with shortcomings of averaged Newtonian models. Explicitly, we investigate the scale-dependence of Eulerian volume averages of scalar functions on Riemannian three-manifolds. We propose a complementary view of a Lagrangian smoothing of (tensorial) variables as opposed to their Eulerian averaging on spatial domains. This program is realized with the help of a global Ricci deformation flow for the metric. We explain rigorously the origin of the Ricci flow which, on heuristic grounds, has already been suggested as a possible candidate for smoothing the initial data set for cosmological spacetimes. The smoothing of geometry implies a renormalization of averaged spatial variables. We discuss the results in terms of effective cosmological parameters that would be assigned to the smoothed cosmological spacetime.

Thomas Buchert; Mauro Carfora

2002-10-11T23:59:59.000Z

255

State and National Wind Resource Potential at Various Capacity...  

Wind Powering America (EERE)

4 8 650 1 2 806 3 0 69% 75 5% 14 031 7 49 073 Estimates of Windy 1 Land Area and Wind Energy Potential, by State, for areas > 35% Capacity Factor at 80m These estimates show, for...

256

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)","(%)"

257

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

258

STEO January 2013 - average gasoline prices  

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

gasoline prices are expected to decline over the next two years. The average pump price for regular unleaded gasoline was 3.63 a gallon during 2012. That is expected to fall...

259

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

260

Alternative Energy Development and China's Energy Future  

E-Print Network (OSTI)

to 2005 Renewable Energy Law The unprecedented growth ofhighlights that growth in renewable energy development inthe fastest growth of 106% in renewable energy capacity from

Zheng, Nina

2012-01-01T23:59:59.000Z

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.


261

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]

262

Ocean Energy  

Science Journals Connector (OSTI)

Some of these technologies are taking off from very low power capacities, although with an intense activity....4, 5] including La Rance tidal power station calculate a capacity of ocean energy facilities worldwid...

Ricardo Guerrero-Lemus; Jos Manuel Martnez-Duart

2013-01-01T23:59:59.000Z

263

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

264

A spatiotemporal auto-regressive moving average model for solar radiation  

E-Print Network (OSTI)

1). Solar radiation, averaged over ten minute intervals, was recorded at each site for two yearsA spatiotemporal auto-regressive moving average model for solar radiation C.A. Glasbey and D, is important in many hydrological, agricultural and energy contexts. To assess solar energy potential, data

Stone, J. V.

265

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]

266

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]

267

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]

268

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]

269

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

270

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

271

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

272

Polarized electron beams at milliampere average current  

SciTech Connect

This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of today's CEBAF polarized source operating at ~ 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

Poelker, Matthew [JLAB

2013-11-01T23:59:59.000Z

273

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.

274

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

275

Ordered Weighted Average Based Fuzzy Rough Sets  

E-Print Network (OSTI)

Ordered Weighted Average Based Fuzzy Rough Sets Chris Cornelis 1 , Nele Verbiest1 , and Richard rough set model, which is based on a similar rationale, our proposal has the ad- vantage a feature selection application confirm the potential of the OWA-based model. Keywords: fuzzy rough sets

Gent, Universiteit

276

Capacity computations of right-turn-on-red using the Highway Capacity Manual  

SciTech Connect

Right-turn-on-red (RTOR) is a traffic control strategy at signalized intersections that allows vehicles to turn right during red phases provided they do not impede the vehicles and pedestrians in green phases. RTOR is primarily a delay and energy conservation measure. Several studies that examined the impact of RTOR on vehicular delays have shown the potential of reducing fuel consumption by about 5 percent on urban streets. The reduction of delay and fuel consumption is related to extra capacity because RTOR allows vehicles to pass through an intersection in red phases. The extra capacity can be significant if an exclusive right-turn lane is provided. The 1985 {ital Highway Capacity Manual} (HCM) provides a powerful technique for evaluating how well an intersection will operate. This technique, however, is less successful in dealing with intersections where RTOR movement is permitted because it requires the analyst to supply RTOR volumes. This situation has led to a need for a formula to compute RTOR capacity. This paper proposes a method to calculate this capacity.

Luh, J.Z. (Langan Engineering Associates, NJ (US)); Lu, Y.J. (Concordia Univ., Loyola Campus, Montreal, PQ (Canada))

1990-04-01T23:59:59.000Z

277

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]

278

On the isobaric specific heat capacity of natural gas  

Science Journals Connector (OSTI)

Abstract A colorimeter equipped with a gas booster in conjunction with a PVT cell was used to measure the heat capacity of natural gas with different amounts of impurities. Based on new experimental and literature data, a general investigation of the isobaric specific heat capacity was carried out using the JarrahianHeidaryan equation of state (JH-EOS). A model was obtained that is valid in wide ranges of pressures (0.140MPa) and temperatures (250414K). The arithmetic average of the models absolute error is acceptable in engineering calculations and has superiority over other methods in its class.

Azad Jarrahian; Hamid Reza Karami; Ehsan Heidaryan

2014-01-01T23:59:59.000Z

279

Average Rate Speed Scaling Nikhil Bansal1  

E-Print Network (OSTI)

energy. In this setting, the operating system must not only have a job selection policy to determine was deadline feasibility and the objective was to minimize the energy used. More precisely, each job i has of the speed to power function, this even spreading is energy optimal if the instance consists of only one job

Bunde, David

280

Average Rate Speed Scaling Nikhil Bansal  

E-Print Network (OSTI)

energy. In this setting, the operating system must not only have a job selection policy to determine was deadline feasibility and the objective was to minimize the energy used. More precisely, each job i has of the speed to power function, this even spreading is energy optimal if the instance consists of only one job

Bunde, David

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

Capacity Constrained Supply Function Equilibrium Models of Electricity Markets: Stability, Non-  

E-Print Network (OSTI)

PWP-089 Capacity Constrained Supply Function Equilibrium Models of Electricity Markets: Stability of an electricity market where strategic firms have capacity constraints. We show that if firms have heterogeneous of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www.ucei.org #12;Capacity

California at Berkeley. University of

282

Designing Rules for the Capacity Market Hlne Le Cadre Michal Soubra  

E-Print Network (OSTI)

Designing Rules for the Capacity Market Hélène Le Cadre Michaël Soubra MINES ParisTech, Centre per unit of demand. Finally, coupling the energy and the capacity markets, we design rules for the ca moral hazard and abuse of dominant positions. 1 Introduction Capacity markets have proven to be one

Paris-Sud XI, Université de

283

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:

284

E-Print Network 3.0 - assessing nuclear capacity Sample Search...  

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

Powered by Explorit Topic List Advanced Search Sample search results for: assessing nuclear capacity Page: << < 1 2 3 4 5 > >> 1 Enabling a Sustainable Nuclear Energy Future...

285

"Table A29. Average Prices of Selected Purchased Energy Sources...  

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

"," "," "," "," "," ","RSE" " "," ","Residual","Distillate","Natural"," "," ","Row" "Economic Characteristics(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","Fac...

286

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

287

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**

288

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

289

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

290

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

291

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

292

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)

293

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

294

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

295

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

296

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

297

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

298

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

299

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

300

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.

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

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,

302

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

303

Indirect CP violation results and HFAG averages  

E-Print Network (OSTI)

The current status of the search for indirect CP violation in the neutral D meson system at the B-factories and at LHCb is reported. The indirect CP asymmetry search is performed by the measurement of the proper-time asymmetry ($A_{\\Gamma}$) in decays of $D^0-\\bar{D^0}$ mesons to CP eigenstates, $K^-K^+$ and $\\pi^- \\pi^+$, and by $y_{CP}$, the ratio between the effective lifetime measured in decay to a CP eigenstate and that to the mixed eigenstate $K \\pi$. All results are consistent with the no CP violation hypothesis. The latest world averages for mixing and CP asymmetry in the charm sector evaluated by the Heavy Flavour Averaging Group are presented. The no mixing hypothesis is excluded at more than 12 standard deviations. The search for direct and indirect CP violation in the charm sector is consistent with no CP violation at 2.0% confident level.

Silvia Borghi

2013-12-17T23:59:59.000Z

304

Polarized electron beams at milliampere average current  

SciTech Connect

This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of todays CEBAF polarized source operating at ? 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

Poelker, M. [Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606 (United States)

2013-11-07T23:59:59.000Z

305

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

306

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

307

Yearly-averaged daily usefulness efficiency of heliostat surfaces  

SciTech Connect

An analytical expression for estimating the instantaneous usefulness efficiency of a heliostat surface is obtained. A systematic procedure is then introduced to calculate the usefulness efficiency even when overlapping of blocking and shadowing on a heliostat surface exist. For possible estimation of the reflected energy from a given field, the local yearly-averaged daily usefulness efficiency is calculated. This efficiency is found to depend on site latitude angle, radial distance from the tower measured in tower heights, heliostat position azimuth angle and the radial spacing between heliostats. Charts for the local yearly-averaged daily usefulness efficiency are presented for {phi} = 0, 15, 30, and 45 N. These charts can be used in calculating the reflected radiation from a given cell. Utilization of these charts is demonstrated.

Elsayed, M.M.; Habeebuallah, M.B.; Al-Rabghi, O.M. (King Abdulaziz Univ., Jeddah (Saudi Arabia))

1992-08-01T23:59:59.000Z

308

Energy Storage  

SciTech Connect

ORNL Distinguished Scientist Parans Paranthaman is discovering new materials with potential for greatly increasing batteries' energy storage capacity and bring manufacturing back to the US.

Paranthaman, Parans

2014-06-03T23:59:59.000Z

309

Energy Storage  

ScienceCinema (OSTI)

ORNL Distinguished Scientist Parans Paranthaman is discovering new materials with potential for greatly increasing batteries' energy storage capacity and bring manufacturing back to the US.

Paranthaman, Parans

2014-06-23T23:59:59.000Z

310

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

311

Average resonance capture study of Te124  

Science Journals Connector (OSTI)

An average resonance capture study of Te124 was carried out by bombarding samples of Te123 with 2- and 24-keV neutron beams. The complete set of 0+, 1+, 2+ states disclosed by the experiment is consistent with the data of Robinson, Hamilton, and Snelling, demonstrating that there are no undetected states of these spins (especially 0+ states) below about 2500 keV. In particular, proposed 0+ levels at 1156 and 1290 keV are ruled out. This impacts various attempted interpretations in terms of intruder states, U(5), and O(6) symmetries.

R. F. Casten; J.-Y. Zhang; B.-C. Liao

1991-07-01T23:59:59.000Z

312

California Working Natural Gas Underground Storage Capacity ...  

Gasoline and Diesel Fuel Update (EIA)

Working Natural Gas Underground Storage Capacity (Million Cubic Feet) California Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

313

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...

314

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...

315

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

SciTech Connect

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

316

Hybrid Zero-capacity Channels  

E-Print Network (OSTI)

There are only two known kinds of zero-capacity channels. The first kind produces entangled states that have positive partial transpose, and the second one - states that are cloneable. We consider the family of 'hybrid' quantum channels, which lies in the intersection of the above classes of channels and investigate its properties. It gives rise to the first explicit examples of the channels, which create bound entangled states that have the property of being cloneable to the arbitrary finite number of parties. Hybrid channels provide the first example of highly cloneable binding entanglement channels, for which known superactivation protocols must fail - superactivation is the effect where two channels each with zero quantum capacity having positive capacity when used together. We give two methods to construct a hybrid channel from any binding entanglement channel. We also find the low-dimensional counterparts of hybrid states - bipartite qubit states which are extendible and possess two-way key.

Sergii Strelchuk; Jonathan Oppenheim

2012-07-04T23:59:59.000Z

317

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

318

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)

319

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

320

Reynolds-Averaged Navier-Stokes  

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

Navier-Stokes simulation of the heave performance of a two-body floating-point absorber wave energy system Yi-Hsiang Yu, Ye Li National Wind Technology Center, National...

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

E-Print Network 3.0 - averaged diurnal cycle Sample Search Results  

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

OF GEOPHYSICAL RESEARCH, VOL. ???, XXXX, DOI:10.1029, Diurnal and semidiurnal internal tide energy flux at Summary: are averaged over. The observed slope of 0.25 degrees is...

322

E-Print Network 3.0 - average current rf Sample Search Results  

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

management estimates the channel upon a frame recep- tion. MIMO... MHz bandwidth. 6.2 Simulation Results We compare the average energy per bit of RF chain management... measure...

323

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

324

Experiments with a time-dependent, zonally averaged, seasonal, enery balance climatic model  

E-Print Network (OSTI)

EXPERIMENTS WITH A TI&E-DEPENDENT, ZONALLY AVERAGED, SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the decree... of MASTER OF SCIENCE December 1977 Major Subject: Meteorology EXPERIMENTS WITH A TIME DEPENDENT~ ZONALLY AVERAGED~ SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Approved as to style and content by: (Chairman of Committee...

Thompson, Starley Lee

2012-06-07T23:59:59.000Z

325

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

326

Capacity Allocation with Competitive Retailers Masabumi Furuhata  

E-Print Network (OSTI)

to uncertainty of market demands, costly capacity construction and time consuming capacity expansion. This makes the market to be unstable and malfunc- tioning. Such a problem is known as the capacity allocation investigate the properties of capacity allocation mechanisms for the markets where a sin- gle supplier

Zhang, Dongmo

327

Prospects of renewables penetration in the energy mix of Pakistan  

Science Journals Connector (OSTI)

Abstract Pakistan is the sixth most populous country of the world comprising 2.56% of the total global population. However, it ranks 37th in the energy consumption, at 0.37% of the world total. The per capita energy availability is only 43W, which is 1/7th of the world average. The greatest reason for such a huge energy deficiency is its heavy dependence on imported oil for power generation. The country is however, rich in renewable energy sources and has vast potential for their exploitation. In this article, a survey of the availability of various renewable energy sources, including hydel, solar, wind and biomass, and their current and future penetration prospects in the total energy mix have been carried out, with some recommendations. It is estimated that Pakistan has the feasible potential of 30GW of installed power capacity from hydel and 50GW of installed capacity from wind by 2030.

Suhail Zaki Farooqui

2014-01-01T23:59:59.000Z

328

Fuel Economy Standards, New Vehicle Sales, and Average Fuel Efficiency  

Science Journals Connector (OSTI)

The average fuel efficiency of new automobiles sold in the ... trend stagnated in 1981, however, and average fuel efficiency has actually fallen since 1987. Corporate Average Fuel Economy (CAFE) standardsthe maj...

Steven G. Thorpe

1997-05-01T23:59:59.000Z

329

Fact #744: September 10, 2012 Average New Light Vehicle Price...  

Energy Savers (EERE)

4: September 10, 2012 Average New Light Vehicle Price Grows Faster than Average Used Light Vehicle Price Fact 744: September 10, 2012 Average New Light Vehicle Price Grows Faster...

330

STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL  

E-Print Network (OSTI)

be used to calculate weight-averaged U-factors or averaged SHGC values for prescriptive envelope of window (the SHGC values of skylights cannot be averaged per §151(f)4A). a. "Area" can be replaced

331

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

332

Assessment of Energy Impact of Window Technologies for Commercial Buildings  

E-Print Network (OSTI)

average commercial buildings site energy usage of 91 kBtu/commercial buildings, even though the average Energy Usage

Hong, Tianzhen

2014-01-01T23:59:59.000Z

333

Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51%...  

Energy Savers (EERE)

average is the production-weighted harmonic mean. 2014 data are preliminary. Fact 849 Dataset Supporting Information Average Fuel Economy of New Midsize Cars - Hybrid vs....

334

Bright Ideas in Solar Energy  

E-Print Network (OSTI)

breakthroughs that solar photovoltaic energy has achieved inIn 1993, the solar-photovoltaic energy capacity was a merecrystalline photovoltaic notion of turning energy from the

Melville, Jo

2014-01-01T23:59:59.000Z

335

ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY  

E-Print Network (OSTI)

California Energy Supply Model Operation Resource Requirements Dimensions of Housing Types , Annual Incremental Energy and Capacity Savings from Passive Solar

Authors, Various

2010-01-01T23:59:59.000Z

336

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

337

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

338

Plug and Process Loads Capacity and Power Requirements Analysis  

SciTech Connect

This report addresses gaps in actionable knowledge that would help reduce the plug load capacities designed into buildings. Prospective building occupants and real estate brokers lack accurate references for plug and process load (PPL) capacity requirements, so they often request 5-10 W/ft2 in their lease agreements. Limited initial data, however, suggest that actual PPL densities in leased buildings are substantially lower. Overestimating PPL capacity leads designers to oversize electrical infrastructure and cooling systems. Better guidance will enable improved sizing and design of these systems, decrease upfront capital costs, and allow systems to operate more energy efficiently. The main focus of this report is to provide industry with reliable, objective third-party guidance to address the information gap in typical PPL densities for commercial building tenants. This could drive changes in negotiations about PPL energy demands.

Sheppy, M.; Gentile-Polese, L.

2014-09-01T23:59:59.000Z

339

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

340

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

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

January 2013 Short-Term Energy Outlook (STEO)  

Gasoline and Diesel Fuel Update (EIA)

(STEO) (STEO)  This edition of the Short-Term Energy Outlook is the first to include forecasts for 2014.  EIA expects that the Brent crude oil spot price, which averaged $112 per barrel in 2012, will fall to an average of $105 per barrel in 2013 and $99 per barrel in 2014. The projected discount of West Texas Intermediate (WTI) crude oil to Brent, which averaged $18 per barrel in 2012, falls to an average of $16 per barrel in 2013 and $8 per barrel in 2014, as planned new pipeline capacity lowers the cost of moving Mid-continent crude oil to the Gulf Coast refining centers.  EIA expects that falling crude prices will help national average regular gasoline retail prices

342

Assessing the Control Systems Capacity for Demand Response in  

E-Print Network (OSTI)

LBNL-5319E Assessing the Control Systems Capacity for Demand Response in California Industries in this report was coordinated by the Demand Response Research Center and funded by the California Energy of the Demand Response Research Center Industrial Controls Experts Working Group: · Jim Filanc, Southern

343

U.S. Energy Information Administration (EIA)  

Annual Energy Outlook 2012 (EIA)

changes on the global utilization pattern for existing capacity or the siting of new capacity inside or outside of the United States in energy-intensive industries....

344

Incident Invasive Breast Cancer, Geographic Location of Residence, and Reported Average Time Spent Outside  

Science Journals Connector (OSTI)

...areas of low versus high solar irradiance measured in...residence and geographic solar irradiance are not consistently...total average sunlight energy striking the ground...foods and supplements (energy adjusted IU/d). Some...low compared with high solar irradiance (comparing...

Amy E. Millen; Mary Pettinger; Jo L. Freudenheim; Robert D. Langer; Carol A. Rosenberg; Yasmin Mossavar-Rahmani; Christine M. Duffy; Dorothy S. Lane; Anne McTiernan; Lewis H. Kuller; Ana Maria Lopez; and Jean Wactawski-Wende

2009-02-01T23:59:59.000Z

345

Average System Cost Methodology : Administrator's Record of Decision.  

SciTech Connect

Significant features of average system cost (ASC) methodology adopted are: retention of the jurisdictional approach where retail rate orders of regulartory agencies provide primary data for computing the ASC for utilities participating in the residential exchange; inclusion of transmission costs; exclusion of construction work in progress; use of a utility's weighted cost of debt securities; exclusion of income taxes; simplification of separation procedures for subsidized generation and transmission accounts from other accounts; clarification of ASC methodology rules; more generous review timetable for individual filings; phase-in of reformed methodology; and each exchanging utility must file under the new methodology within 20 days of implementation by the Federal Energy Regulatory Commission of the ten major participating utilities, the revised ASC will substantially only affect three. (PSB)

United States. Bonneville Power Administration.

1984-06-01T23:59:59.000Z

346

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

347

Design and test results of a low-capacity solar cooling system in Alicante (Spain)  

Science Journals Connector (OSTI)

Despite its attractiveness, solar cooling technology is still in an early stage of development. Most installations currently in operation show differences in the collector area per kilowatt of cooling capacity that cannot be explained only by project-specific circumstances. The purpose of this paper was twofold. First, to answer some questions that came up during the design process of the plant by using a TRNSYS system model and statistical tools. Second, to gain knowledge about the plant operation and validate the TRNSYS model through measured data. The system was equipped with a flat-plate collector field of 38.4m2. A lithium bromide-water single-effect absorption chiller (17.6kW) was selected in order to provide chilled water to fan-coils. Performance data were registered at the solar plant working with a 1000-l heat storage tank and a required temperature of 80C to drive the absorption machine. An average of 29% of the solar energy incident on the solar collectors surface was transferred to the hot water storage. The registered average COP of the absorption chiller was 0.691. The performance data were compared with the values predicted by the TRNSYS plant model and a high level of agreement was obtained.

Pedro J. Martnez; Jos C. Martnez; Manuel Lucas

2012-01-01T23:59:59.000Z

348

International Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

Reference case projections for Reference case projections for electricity capacity and generation by fuel This page inTenTionally lefT blank 259 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections for electricity capacity and generation by fuel Table H1. World total installed generating capacity by region and country, 2010-2040 (gigawatts) Region/country Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 OECD OECD Americas 1,248 1,316 1,324 1,379 1,456 1,546 1,669 1.0 United States a 1,033 1,080 1,068 1,098 1,147 1,206 1,293 0.8 Canada 137 144 152 163 174 185 198 1.2 Mexico/Chile 78 93 104 118 135 155 177 2.8 OECD Europe 946 1,028 1,096 1,133 1,159 1,185 1,211 0.8 OECD Asia 441 444 473 489 501 516 524 0.6 Japan 287 275 293 300 304 309 306 0.2 South Korea 85 93 100 107 114

349

[working paper] Regional Economic Capacity, Economic Shocks,  

E-Print Network (OSTI)

1 [working paper] Regional Economic Capacity, Economic Shocks, and Economic that makes them more likely to resist economic shocks or to recover quickly from of resilience capacity developed by Foster (2012) is related to economic resilience

Sekhon, Jasjeet S.

350

Fair capacity sharing of multiple aperiodic servers  

E-Print Network (OSTI)

For handling multiple aperiodic tasks with different temporal requirements, multiple aperiodic servers are used. Since capacity is partitioned statically among the multiple servers, they suffer from heavy capacity exhaustions. Bernat and Burns...

Melapudi, Vinod Reddy

2002-01-01T23:59:59.000Z

351

Optimal Residential Solar Photovoltaic Capacity in Grid Connected Applications  

Science Journals Connector (OSTI)

Abstract Microgeneration using solar photovoltaic systems is becoming increasingly popular in residential households as such systems allow households to use a renewable energy source, while also reducing their reliance on the electricity grid, to fulfill their electricity demand. In this study, we explore the attractiveness of PV microgeneration systems of different capacities in the absence of incentives and net metering options and under both flat and variable tariff scenarious. Smaller systems that are below 1 kW in capacity are more attractive under such conditions, however, at current cost levels, they still remain economically unattractive. The cost levels which allow for these PV systems to be economically viable are also determined.

Shisheng Huang; Jingjie Xiao; Joseph F. Pekny; Gintaras V. Reklaitis

2012-01-01T23:59:59.000Z

352

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

353

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

354

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

355

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

356

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

357

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

358

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

359

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

360

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

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

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

362

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

363

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

364

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

365

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

366

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

367

Can Science and Technology Capacity be Measured?  

E-Print Network (OSTI)

The ability of a nation to participate in the global knowledge economy depends to some extent on its capacities in science and technology. In an effort to assess the capacity of different countries in science and technology, this article updates a classification scheme developed by RAND to measure science and technology capacity for 150 countries of the world.

Wagner, Caroline S; Dutta, Arindum

2015-01-01T23:59:59.000Z

368

Internal Markets for Supply Chain Capacity Allocation  

E-Print Network (OSTI)

Internal Markets for Supply Chain Capacity Allocation David McAdams and Thomas W. Malone Sloan David McAdams & Thomas Malone #12;Internal Markets for Supply Chain Capacity Allocation David Mc ("internal markets") to help allocate manufacturing capacity and determine the prices, delivery dates

369

If current capacity were to be expanded so that all of the non-recycled municipal solid waste that is currently sent to U.S. landfills each year could instead be converted to energy, we could generate enough electricity  

E-Print Network (OSTI)

so that we could convert our non-recycled waste to alternative energy instead of landfilling it, we-recycled waste into energy instead of landfilling it, we could reduce greenhouse gas (GHG) emissions by nearly our roads. The Power of Waste GARBAGE ENERGY REDUCES 123M TONS CO2 = 23M LESS CARS PLASTICS 5.7B

370

Rawhide Energy Station, Fort Collins, Colorado  

SciTech Connect

The staff of Platte River Power Authority's Rawhide Energy Station have been racking up operating stats and an environmental performance record that is the envy of other plant managers. In the past decade Rawhide has enjoyed an equivalent availability factor in the mid to high 90s and an average capacity factor approaching 90%. Still not content with this performance, Rawhide invested in new technology and equipment upgrades to further optimise performance, reduce emissions, and keep cost competitive. The Energy Station includes four GE France 7EA natural gas-fired turbines totalling 260 MW and a 274 MW coal-fired unit located in northeastern Colorado. 7 figs.

Peltier, R.

2008-10-15T23:59:59.000Z

371

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

372

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

373

Fact #614: March 15, 2010 Average Age of Household Vehicles  

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

The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first...

374

Fact #615: March 22, 2010 Average Vehicle Trip Length  

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

According to the latest National Household Travel Survey, the average trip length grew to over 10 miles in 2009, just slightly over the 9.9 mile average in 2001. Trips to work in 2009 increased to...

375

Fact #835: August 25, Average Historical Annual Gasoline Pump...  

Energy Savers (EERE)

5: August 25, Average Historical Annual Gasoline Pump Price, 1929-2013 Fact 835: August 25, Average Historical Annual Gasoline Pump Price, 1929-2013 When adjusted for inflation,...

376

Functional Polyolefins for Energy Applications  

Science Journals Connector (OSTI)

There are several advantageous scenarios that effective energy storage may offer: high performance electric vehicles could become a reality; clean solar and wind energy generated at peak hours could be used throughout down time; and the energy generation system could be designed based on the average usage capacity instead of the peak consumption level. ... In the past decade, we have been taking advantage of new polyolefins for three energy-related research areas with some tangible results, which will be discussed and used as examples to illuminate the advantages of new functional polyolefin structures. ... The advantages and disadvantages of the already developed perfluorinated ionomer membranes (Nafion, Flemion, Aciplex, Dow or Asahi Chem.) are described. ...

T. C. Mike Chung

2013-08-13T23:59:59.000Z

377

Buildings Energy Data Book: 5.7 Appliances  

Buildings Energy Data Book (EERE)

7 7 Room Air Conditioner Capacities and Energy Efficiencies (Shipment-Weighted Averages) EER 1972 5.98 N.A. 1980 7.02 N.A. 1985 7.70 N.A. 1990 8.73 N.A. 1995 9.03 12.0 2000 9.30 11.7 2001 9.63 11.7 2002 9.75 11.7 2003 9.75 11.7 2004 9.71 11.7 2005 9.95 12.0 2006 10.02 12.0 2007 9.81 12.0 2008 9.93 12.0 2009 10.05 12.0 2010 10.18 12.0 Source(s): AHAM, Energy Efficiency and Consumption Trends 2010; AHAM, Efficiency and Consumption Trends 2009; AHAM, 1997 Major Appliance Industry Fact Book, Oct. 1997, Table 27, p. 32 for 1972; AHAM, AHAM 2003 Fact Book, 2003, Table 25, p. 45 for 1980-1985 average capacity and EER; AHAM, AHAM 2005 Fact Book, 2006, Table 19, p. 42 for 1990-2004 average capacity and EER; AHAM, 1994-1999 Directory of Certified Room Air Conditioners, Mar. 2000 for 1994-2000 best available; and ENERGY STAR certified products lists for 2001-2010 best available,

378

Energy Secretary Moniz Dedicates World's Largest Concentrating...  

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

curbs greenhouse gas emissions, and fosters American innovation." Ivanpah has the capacity to generate 392 megawatts (MW) of clean electricity -- enough to power 94,400 average...

379

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.

380

Spherical averages and applications to spherical splines and interpolation  

Science Journals Connector (OSTI)

This article introduces a method for computing weighted averages on spheres based on least squares minimization that respects spherical distance. We prove existence and uniqueness properties of the weighted averages, and give fast iterative algorithms ... Keywords: Bzier curve, B-spline, barycentric coordinates, least squares minimization, quaternion interpolation, quaternions, spherical average, spherical interpolation, spherical mean, spline curve, spline interpolation

Samuel R. Buss; Jay P. Fillmore

2001-04-01T23:59:59.000Z

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.


381

Hydrogen storage capacity of Ti-doped boron-nitride and B?Be-substituted carbon nanotubes  

Science Journals Connector (OSTI)

We investigate the hydrogen absorption capacity of two tubular structures, namely, B?Be-substituted single-wall carbon nanotube (SWNT) and Ti covered single-wall boron nitride nanotube (SWBNT) using first-principles plane wave method. The interaction of H2 molecules with the outer surface of bare SWBNT, which is normally very weak, can be significantly enhanced upon functionalization by Ti atoms. Each Ti atom adsorbed on SWBNT can bind up to four H2 molecules with an average binding energy suitable for room temperature storage. While the substitution process of Be atom on SWNT is endothermic, the substituted Be strengthens the interaction between tube surface and H2 to hold one H2 molecule.

E. Durgun; Y.-R. Jang; S. Ciraci

2007-08-27T23:59:59.000Z

382

Strengthening Planning Capacity for Low Carbon Growth in Developing Asia |  

Open Energy Info (EERE)

for Low Carbon Growth in Developing Asia for Low Carbon Growth in Developing Asia Jump to: navigation, search Name 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, Malaysia, Philippines, Thailand, Vietnam South-Eastern Asia, South-Eastern Asia, South-Eastern Asia, South-Eastern Asia, South-Eastern Asia

383

Comparison of Capacity Value Methods for Photovoltaics in the Western United States  

SciTech Connect

This report compares different capacity value estimation techniques applied to solar photovoltaics (PV). It compares more robust data and computationally intense reliability-based capacity valuation techniques to simpler approximation techniques at 14 different locations in the western United States. The capacity values at these locations are computed while holding the underlying power system characteristics fixed. This allows the effect of differences in solar availability patterns on the capacity value of PV to be directly ascertained, without differences in the power system confounding the results. Finally, it examines the effects of different PV configurations, including varying the orientation of a fixed-axis system and installing single- and double-axis tracking systems, on the capacity value. The capacity value estimations are done over an eight-year running from 1998 to 2005, and both long-term average capacity values and interannual capacity value differences (due to interannual differences in solar resource availability) are estimated. Overall, under the assumptions used in the analysis, we find that some approximation techniques can yield similar results to reliability-based methods such as effective load carrying capability.

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

2012-07-01T23:59:59.000Z

384

TABLE 1. Nuclear Reactor, State, Type, Net Capacity, Generation...  

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

TABLE 1. Nuclear Reactor, State, Type, Net Capacity, Generation, and Capacity Factor " "PlantReactor Name","Generator ID","State","Type","2009 Summer Capacity"," 2010 Annual...

385

Design and Evaluation of Novel High Capacity Cathode Materials...  

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

High Capacity Cathodes Vehicle Technologies Office Merit Review 2014: Design and Evaluation of High Capacity Cathodes Design and Evaluation of Novel High Capacity Cathode Materials...

386

Working and Net Available Shell Storage Capacity as of September 30, 2010 -  

Gasoline and Diesel Fuel Update (EIA)

Working and Net Available Shell Storage Capacity Working and Net Available Shell Storage Capacity With Data for September 2010 | Release Date: July 28, 2011 Working and Net Available Shell Storage Capacity as of September 30, 2010 is the Energy Information Administration's (EIA) first report containing semi-annual storage capacity data. It includes three tables detailing working and net available shell storage capacity by facility type, product, and PAD District as of September 30, 2010. EIA has reported weekly and monthly inventory levels of crude oil and petroleum products for decades. New storage capacity data can help analysts place petroleum inventory levels in context and better understand petroleum market activity and price movements, especially at key market centers such as Cushing, Oklahoma.

387

Large Wind Technology | Department of Energy  

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

Large Wind Technology Large Wind Technology Large Wind Technology The Wind Program works with industry partners to increase the performance and reliability of large wind technologies while lowering the cost of wind energy. The program's research efforts have helped to increase the average capacity factor (a measure of power plant productivity) from 22% for wind turbines installed before 1998 to 35% for turbines installed between 2004 and 2007. Wind energy costs have been reduced from over 55 cents (current dollars) per kilowatt-hour (kWh) in 1980 to under six cents/kWh today. To ensure future industry growth, the technology must continue to evolve, building on earlier successes to further improve reliability, increase capacity factors, and reduce costs. This page describes the goal of the

388

Linear Gaussian Channels: Feedback Capacity under Power Constraints Shaohua Yang1  

E-Print Network (OSTI)

information rate, is Cfb(n) = max P h(Y n 1 )/n - log 2e , (4) where the maximization is under the average and by the National Storage Industry Consortium. Theorem 1: The feedback capacity Cfb(n) is achieved by a Gauss

Kavcic, Aleksandar

389

A Green Approach to Femtocells Capacity Improvement by Recycling Wasted Resources  

E-Print Network (OSTI)

A Green Approach to Femtocells Capacity Improvement by Recycling Wasted Resources Leonardo S and transmit power. The proposed technique recycles redundant resources of OFDM transmissions (e.g., guard, a better average link quality, more efficient usage of spectrum resources and higher spatial reuse (co

Boyer, Edmond

390

High Wind Penetration Impact on U.S. Wind Manufacturing Capacity and Critical Resources  

SciTech Connect

This study used two different models to analyze a number of alternative scenarios of annual wind power capacity expansion to better understand the impacts of high levels of wind generated electricity production on wind energy manufacturing and installation rates.

Laxson, A.; Hand, M. M.; Blair, N.

2006-10-01T23:59:59.000Z

391

A review of Oil production capacity expansion costs for the Persian Gulf  

E-Print Network (OSTI)

The U.S. Energy Information Agency has recently published a report prepared by Petroconsultants, Inc. that addresses the cost of expanding crude oil production capacity in the Persian Gulf. A study on this subject is much ...

Adelman, Morris Albert

1996-01-01T23:59:59.000Z

392

Development of High-Capacity Desalination Plant Driven by Offshore Wind Turbine  

Science Journals Connector (OSTI)

This paper presents a development of the desalination plant based on the concept of the Wind Energy Marine Unit (WEMU) which is the high-capacity offshore wind turbine with the floating rotor. The great potential...

Valery V. Cheboxarov; Victor V. Cheboxarov

2009-01-01T23:59:59.000Z

393

The Quadrennial Energy Review (QER) | Department of Energy  

Energy Savers (EERE)

energy infrastructure, the QER analyses will consider the impacts of transformations in energy supply, markets, and patterns of end use; issues of aging and capacity; impacts of...

394

Working and Net Available Shell Storage Capacity  

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

Working and Net Available Shell Storage Capacity Working and Net Available Shell Storage Capacity With Data for September 2013 | Release Date: November 27, 2013 | Next Release Date: May 29, 2013 Previous Issues Year: September 2013 March 2013 September 2012 March 2012 September 2011 March 2011 September 2010 Go 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

395

CLEAN-Capacity Building and Training for Low Emissions Development Planning  

Open Energy Info (EERE)

CLEAN-Capacity Building and Training for Low Emissions Development Planning CLEAN-Capacity Building and Training for Low Emissions Development Planning Jump to: navigation, search Tool Summary Name: CLEAN-Capacity Building and Training for Low Emissions Development Planning Agency/Company /Organization: CLEAN, National Renewable Energy Laboratory Sector: Climate, Energy, Land Topics: Low emission development planning Resource Type: Presentation, Training materials, Video, Webinar Cost: Free References: CLEAN Webinar[1] Webinar Pre sentations CLEAN PPT 5 20 2011 (2).pdf TNA Capacity Building- webinar CLEAN-24 May 2011 Final.pdf ESMAP-CLEAN 20110524.pdf Announcement The Coordinated Low Emissions Assistance Network (CLEAN) will be offering a free webinar on Low Emission Development Strategies (LEDS): Capacity Building and Training to explore activity design, lessons learned, future

396

"Assessment of the Adequacy of Natural Gas Pipeline Capacity in the  

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

"Assessment of the Adequacy of Natural Gas Pipeline Capacity in "Assessment of the Adequacy of Natural Gas Pipeline Capacity in the Northeast United States" Report Now Available "Assessment of the Adequacy of Natural Gas Pipeline Capacity in the Northeast United States" Report Now Available November 27, 2013 - 3:13pm Addthis The Office of Electricity Delivery and Energy Reliability has released its "Assessment of the Adequacy of Natural Gas Pipeline Capacity in the Northeast United States" report. The report is now available for downloading. In 2005-06, the Office of Electricity Delivery and Energy Reliability (OE) conducted a study on the adequacy of interstate natural gas pipeline capacity serving the northeastern United States to meet natural gas demand in the event of a pipeline disruption. The study modeled gas demand for

397

PacifiCorp Capacity Power Sale Contract Final Environmental Impact Statement  

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

Statement Statement file:///I|/Data%20Migration%20Task/EIS-0171-FEIS-Summary-1994.htm[6/27/2011 10:42:49 AM] Summary PacifiCorp Capacity Sale Final Environmental Impact Statement (EIS) Purpose of and Need for the Action The Bonneville Power Administration (BPA) must respond to the need for power as represented by PacifiCorp's request for a continued supply of firm capacity. BPA has surplus electrical capacity (peakload energy) that BPA projects will not be required to meet its existing obligations. Such obligations include those to meet the loads of firm power customers, pursuant to the Pacific Northwest Electric Power Planning and Conservation Act (Northwest Power Act), and previously committed capacity contracts. BPA is authorized under the Northwest Power Act to sell system capacity and/or energy that is surplus to its needs,

398

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

Open Energy Info (EERE)

49031 49031 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for China. (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 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

399

Georgia-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Georgia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Georgia-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 Georgia 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

400

Thailand-Enhancing Capacity for Low Emission Development Strategies  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Thailand-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Thailand-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 Thailand

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.
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to obtain the most current and comprehensive results.


401

Hydropower Upgrades to Yield Added Generation at Average Costs Less Than 4  

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

Hydropower Upgrades to Yield Added Generation at Average Costs Less Hydropower Upgrades to Yield Added Generation at Average Costs Less Than 4 cents per kWh - Without New Dams Hydropower Upgrades to Yield Added Generation at Average Costs Less Than 4 cents per kWh - Without New Dams November 4, 2009 - 12:00am Addthis WASHINGTON, DC - U.S. Energy Secretary Steven Chu today announced up to $30.6 million in Recovery Act funding for the selection of seven hydropower projects that modernize hydropower infrastructure by increasing efficiency and reducing environmental impacts at existing facilities. The expanded hydro generation projects have estimated incremental costs of less than 4 cents per kWh on average. The selections announced today will deploy innovative technologies such as high-efficiency, fish-friendly turbines, improved water intakes, and

402

Geothermal News | Department of Energy  

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

energy on federal property through power purchase agreements. The 7 billion capacity would be expended for the purchase of energy over 30 years or less from renewable...

403

Controlling the bullwhip with transport capacity constraints  

Science Journals Connector (OSTI)

The bullwhip effect can be costly to companies in terms of capacity-on costs and stock-out costs. This paper examines the possibilities for controlling the bullwhip effect with transport capacity management in the supply chain. The goal is to examine how inventories and service levels react to transport capacity constraints in a simulated supply chain that is prone to the bullwhip effect. By controlling the transport capacities, the companies may be able to reduce the impacts of demand amplification and inventory variations. Thus, there may be significant practical implications of the findings for logistics managers in today's volatile business environments.

Jouni Juntunen; Jari Juga

2009-01-01T23:59:59.000Z

404

,"California Underground Natural Gas Storage Capacity"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Underground Natural Gas Storage Capacity",12,"Annual",2013,"6301988" ,"Release...

405

Increasing the Capacity of Existing Power Lines  

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

works with Idaho Power engineers to train system operators in the use of weather station data and software tools to generate transmission capacity operat- ing limits. The ability...

406

Increasing water holding capacity for irrigation  

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

Increasing water holding capacity for irrigation Reseachers recommend solutions for sediment trapping in irrigation system LANL and SNL leveraged technical expertise to determine...

407

,"New York Underground Natural Gas Storage Capacity"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Underground Natural Gas Storage Capacity",11,"Annual",2013,"6301988" ,"Release...

408

Psychrometric Testing Facility Restoration and Cooling Capacity Testing  

E-Print Network (OSTI)

of MASTER OF SCIENCE Approved by: Chair of Committee, Michael B. Pate Committee Members, Angie Hill Price Terry S. Creasy Head of Department, Dennis O?Neal August 2010 Major Subject: Mechanical Engineering iii iii ABSTRACT... Psychrometric Testing Facility Restoration and Cooling Capacity Testing. (August 2010) Vincent Edward Cline, B.S., Texas A&M University Chair of Advisory Committee: Dr. Michael B. Pate The Psychrometric Testing Facility at the Riverside Energy Efficiency...

Cline, Vincent E.

2010-10-12T23:59:59.000Z

409

Energy Information Administration/Short-Term Energy Outlook - April 2006  

Gasoline and Diesel Fuel Update (EIA)

6 6 1 April 2006 Short-Term Energy Outlook and Summer Fuels Outlook April 11, 2006 Release Contents Overview Global Petroleum Markets U.S. Petroleum Markets Motor Gasoline Diesel Fuel Natural Gas Markets Electricity Markets Coal Markets Overview Continued steady world oil demand growth, combined with only modest increases in world spare oil production capacity and the continuing risks of geopolitical instability, are expected to keep crude oil prices high through 2006. The price of West Texas Intermediate (WTI) crude oil is projected to average $65 per barrel in 2006 and $61 in 2007 (Figure 1. West Texas Intermediate Crude Oil Price). Retail regular gasoline prices are projected to average $2.50 per gallon in 2006 and $2.40 in

410

Climate: monthly and annual average atmospheric pressure GIS data at  

Open Energy Info (EERE)

atmospheric pressure GIS data at atmospheric pressure GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract):Atmospheric Pressure (kPa)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Atmospheric Pressure (kPa)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 the region is +0.5 added to the the Lat/Lon value. These data are

411

Energy Incentive Programs, Massachusetts | Department of Energy  

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

small commercial customers (average demand less than 300 kW) with a free energy audit, an energy efficiency project proposal, and incentives for equipment such as lighting,...

412

Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material  

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

0: March 8, 2004 0: March 8, 2004 Average Material Consumption for a Domestic Automobile to someone by E-mail Share Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Facebook Tweet about Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Twitter Bookmark Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Google Bookmark Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Delicious Rank Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Digg Find More places to share Vehicle Technologies Office: Fact #310:

413

Average Interest Rate for Treasury Securities | Data.gov  

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

Average Interest Rate for Treasury Securities Average Interest Rate for Treasury Securities Consumer Data Apps Challenges Resources About Blogs Let's Talk Feedback Consumer You are here Data.gov » Communities » Consumer » Data Average Interest Rate for Treasury Securities Dataset Summary Description This dataset shows the average interest rates for U.S Treasury securities for the most recent month compared with the same month of the previous year. The data is broken down by the various marketable and non-marketable securities. The summary page for the data provides links for monthly reports from 2001 through the current year. Average Interest Rates are calculated on the total unmatured interest-bearing debt. The average interest rates for total marketable, total non-marketable and total interest-bearing debt do not include the U.S. Treasury Inflation-Protected Securities.

414

Kampung Capacity Local Solutions for  

E-Print Network (OSTI)

to come from a mixture of locally managed small-scale hydroelectricity, biogas generators and accompanying productivity and development. Political attention often comes to these communities only when larger national a larger development agenda. We examine the local and large-scale energy service debate in villages (or

Kammen, Daniel M.

415

Solar: monthly and annual average global horizontal (GHI) GIS...  

Open Energy Info (EERE)

Facebook icon Twitter icon Home Organizations DLR - Deutsches Zentrum fr ... Solar: monthly and annual ... Dataset Activity Stream Solar: monthly and annual average...

416

,"Selected National Average Natural Gas Prices"  

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

Selected National Average Natural Gas Prices" Selected National Average Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Average Natural Gas Prices",11,"Monthly","11/2013","1/15/1973" ,"Data 2","Annual Average Natural Gas Prices",11,"Annual",2012,"6/30/1922" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm03vmall.xls" ,"Available from Web Page:","http://www.eia.gov/oil_gas/natural_gas/data_publications/natural_gas_monthly/ngm.html"

417

Utility Energy Savings Contract Project  

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

Utility Energy Savings Utility Energy Savings Contract Project Redstone Arsenal, Alabama Presented by Doug Dixon, Pacific Northwest National Laboratory For Mark D. Smith, PE, CEM, CEA Energy Manager, Redstone Arsenal Federal Utility Partnership Working Group - Fall 2010 UNCLASSIFIED UNCLASSIFIED 0 50 100 150 200 250 Klbs FY09 Total Hourly Steam FY09 Total Threshold $22.76 / MMBTU (Minimum take-or-pay base rate) (Consumer Price Index) Average FY09 Natural Gas Price $5.52 / MMBTU $16.91 / MMBTU (High capacity rate) (Petroleum Price Index) Hours UNCLASSIFIED Resolution * Manage the steam load to the minimum take-or- pay thresholds under the existing contract.  Prune the distribution system by eliminating long runs with low density and high thermal losses.  Ensure summer steam loads are utilized.

418

Seasonal Variation in Monthly Average Air Change Rates Using Passive Tracer Gas Measurements  

E-Print Network (OSTI)

of indoor air pollution sources. Concurrently, great efforts are made to make buildings energy efficient 1970s, while less attention has been paid to IAQ. Insufficient venting of indoor air pollutantsSeasonal Variation in Monthly Average Air Change Rates Using Passive Tracer Gas Measurements Marie

Hansen, René Rydhof

419

Average Rate Speed Scaling # Nikhil Bansal 1 , David P. Bunde 2 , HoLeung Chan 3 , and Kirk Pruhs 3  

E-Print Network (OSTI)

of such a processor to conserve energy. In this setting, the operating system must not only have a job selection to conserve energy and optimize some Quality of Service (QoS) measure of the resulting schedule. Yao, Demers is to minimize the energy used. They proposed an online speed scaling algorithm Average Rate (AVR) that runs each

Bunde, David

420

Representation of the Solar Capacity Value in the ReEDS Capacity...  

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

Representation of the Solar Capacity Value in the ReEDS Capacity Expansion Model Preprint Ben Sigrin, Patrick Sullivan, Eduardo Ibanez, and Robert Margolis Presented at the 40th...

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

On Quantum Capacity and its Bound  

E-Print Network (OSTI)

The quantum capacity of a pure quantum channel and that of classical-quantum-classical channel are discussed in detail based on the fully quantum mechanical mutual entropy. It is proved that the quantum capacity generalizes the so-called Holevo bound.

Masanori Ohya; Igor V. Volovich

2004-06-29T23:59:59.000Z

422

COMMUNITY CAPACITY BUILDING FOR REVITALIZATION AND SUSTAINABLE REDEVELOPMENT  

SciTech Connect

Capacity building programs help poor and disadvantaged communities to improve their ability to participate in the environmental decision-making processes. They encourage citizen involvement, and provide the tools that enable them to do so. Capacity building enables communities that would otherwise be excluded to participate in the process, leading to better, and more just decisions. The Department of Energy (DOE) continues to be committed to promoting environmental justice and involving its stakeholders more directly in the planning and decision-making process for environmental cleanup. DOE's Environmental Management Program (EM) is in full support of this commitment. Through its environmental justice project, EM provides communities with the capacity to effectively contribute to a complex technical decision-making process by furnishing access to computers, the Internet, training and technical assistance. DOE's Dr. Samuel P. Massie Chairs of Excellence Program (Massie Chairs) function as technical advisors to many of these community projects. The Massie Chairs consist of nationally and internationally recognized engineers and scientists from nine Historically Black Colleges and Universities (HBCUs) and one Hispanic Serving Institution (HIS). This paper will discuss capacity building initiatives in various jurisdictions.

Downing, Melinda; Rosenthall, John; Hudson, Michelle

2003-02-27T23:59:59.000Z

423

Peak Underground Working Natural Gas Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

Definitions Definitions Definitions Since 2006, EIA has reported two measures of aggregate capacity, one based on demonstrated peak working gas storage, the other on working gas design capacity. Demonstrated Peak Working Gas Capacity: This measure sums the highest storage inventory level of working gas observed in each facility over the 5-year range from May 2005 to April 2010, as reported by the operator on the Form EIA-191M, "Monthly Underground Gas Storage Report." This data-driven estimate reflects actual operator experience. However, the timing for peaks for different fields need not coincide. Also, actual available maximum capacity for any storage facility may exceed its reported maximum storage level over the last 5 years, and is virtually certain to do so in the case of newly commissioned or expanded facilities. Therefore, this measure provides a conservative indicator of capacity that may understate the amount that can actually be stored.

424

Vietnam-Strengthening Planning Capacity for Low Carbon Growth in Developing  

Open Energy Info (EERE)

Vietnam-Strengthening Planning Capacity for Low Carbon Growth in Developing Vietnam-Strengthening Planning Capacity for Low Carbon Growth in Developing Asia Jump to: navigation, search Name Vietnam-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 Vietnam South-Eastern Asia References Strengthening Planning Capacity for Low Carbon Growth in Developing Asia[1]

425

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

Open Energy Info (EERE)

Mexico-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Mexico-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Mexico-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 Topics Low emission development planning, -LEDS Program Start 2010 Program End 2016 Country Mexico 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

426

Energy  

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

Energy newsroomassetsimagesenergy-icon.png Energy Research into alternative forms of energy, and improving and securing the power grid, is a major national security...

427

Energy Management A Program of Energy Conservation for the Community College Facility  

E-Print Network (OSTI)

radiation leaks; they waste energy and can be dangerous. Atduct work tight? leaks waste energy) Filters (clean; properone; it will only waste energy. Load ovens to capacity to

Authors, Various

2011-01-01T23:59:59.000Z

428

Higher-order averaging, formal series and numerical integration II  

E-Print Network (OSTI)

systems of ordinary differential equations with d 1 non- resonant constant frequencies. Formal series frequency and four resonant fast frequencies. Keywords and sentences: Averaging, high-order averaging, quasi Schumann, 35170 Bruz, France. Email: Philippe.Chartier@inria.fr Konputazio Zientziak eta A. A. Saila

Murua, Ander

429

Do Diurnal Aerosol Changes Affect Daily Average Radiative Forcing?  

SciTech Connect

Strong diurnal variability of aerosol has been observed frequently for many urban/industrial regions. How this variability may alter the direct aerosol radiative forcing (DARF), however, is largely unknown. To quantify changes in the time-averaged DARF, we perform an assessment of 29 days of high temporal resolution ground-based data collected during the Two-Column Aerosol Project (TCAP) on Cape Cod, which is downwind of metropolitan areas. We demonstrate that strong diurnal changes of aerosol loading (about 20% on average) have a negligible impact on the 24-h average DARF, when daily averaged optical properties are used to find this quantity. However, when there is a sparse temporal sampling of aerosol properties, which may preclude the calculation of daily averaged optical properties, large errors (up to 100%) in the computed DARF may occur. We describe a simple way of reducing these errors, which suggests the minimal temporal sampling needed to accurately find the forcing.

Kassianov, Evgueni I.; Barnard, James C.; Pekour, Mikhail S.; Berg, Larry K.; Michalsky, Joseph J.; Lantz, K.; Hodges, G. B.

2013-06-17T23:59:59.000Z

430

WINDExchange | Department of Energy  

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

outreach materials readily available, including: maps of wind resources and installed wind capacity location-specific information from Wind Energy Regional Resource Centers a...

431

Generation | Department of Energy  

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

scheduling, dispatching, and accounting for capacity and energy generated at the 22 hydroelectric projects in the agencys 11-state marketing area. Southeastern has Certified...

432

Webcasts | Department of Energy  

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

PDF Exploring Opportunities for Energy Efficiency as a Revenue Stream in the Forward Capacity Markets Financing 11152012 PDF Video PDF Keeping Up With Your Audience, So They...

433

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

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for China. (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 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.

434

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

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for China. (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 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

435

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

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 horizontal flat-plate 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 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 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

436

Solar: annual average global horizontal (GHI) GIS data at 10km resolution  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 10km resolution global horizontal (GHI) GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate solar 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 horizontal flat-plate solar collector, such as a Photovoltaic (PV) solar panel. (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 model uses information on hourly satellite observed visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam insolation falling on a tracking concentrator pointed

437

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

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate 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 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 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

438

Hanford Waste Vitrification Plant capacity increase options  

SciTech Connect

Studies are being conducted by the Hanford Waste Vitrification Plant (HWVP) Project on ways to increase the waste processing capacity within the current Vitrification Building structural design. The Phase 1 study on remote systems concepts identification and extent of capacity increase was completed. The study concluded that the HWVP capacity could be increased to four times the current capacity with minor design adjustments to the fixed facility design, and the required design changes would not impact the current footprint of the vitrification building. A further increase in production capacity may be achievable but would require some technology development, verification testing, and a more systematic and extensive engineering evaluation. The primary changes included a single advance melter with a higher capacity, new evaporative feed tank, offgas quench collection tank, ejector venturi scrubbers, and additional inner canister closure station,a smear test station, a new close- coupled analytical facility, waste hold capacity of 400,000 gallon, the ability to concentrate out-of-plant HWVP feed to 90 g/L waste oxide concentration, and limited changes to the current base slab construction package.

Larson, D.E.

1996-04-01T23:59:59.000Z

439

Photovoltaics effective capacity: Interim final report 2  

SciTech Connect

The authors provide solid evidence, based on more than 8 million data points, that regional photovoltaic (PV) effective capacity is largely unrelated to the region`s solar resource. They confirm, however, that effective capacity is strongly related to load-shape characteristics. The load-shape effective-capacity relationship appears to be valid for end-use loads as small as 100 kW, except possibly in the case of electrically heated buildings. This relationship was used as a tool to produce a US map of PV`s effective capacity. The regions of highest effective capacities include (1) the central US from the northern Great Plains to the metropolitan areas of Chicago and Detroit, down to the lower Mississippi Valley, (2) California and western Arizona, and (3) the northeast metropolitan corridor. The features of this map are considerably different from the traditional solar resource maps. They tend to reflect the socio-economic and climatic factors that indirectly drive PV`s effective capacity: e.g., commercial air-conditioning, little use of electric heat, and strong summer heat waves. The map provides a new and significant insight to a comprehensive valuation of the PV resource. The authors assembled preliminary evidence showing that end-use load type may be related to PV`s effective capacity. Highest effective capacities were found for (nonelectrically heated) office buildings, followed by hospitals. Lowest capacities were found for airports and residences. Many more data points are needed, however, to ascertain and characterize these preliminary findings.

Perez, R.; Seals, R. [State Univ. of New York, Albany, NY (United States). Atmospheric Sciences Research Center

1997-11-01T23:59:59.000Z

440

CHEMISTRY 223: Introductory Physical Chemistry I. Kinetics 1: Gas laws, kinetic theory of collisions. Thermodynamics: Zeroth law of thermodynamics. First law of thermodynamics, heat capacity,  

E-Print Network (OSTI)

of collisions. Thermodynamics: Zeroth law of thermodynamics. First law of thermodynamics, heat capacity, enthalpy, thermochemistry, bond energies. Second law of thermodynamics; the entropy and free energy functions. Third law of thermodynamics, absolute entropies, free energies, Maxwell relations and chemical

Ronis, David M.

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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441

U.S. Energy Information Administration | Annual Coal Report 2012  

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

Productive Capacity and Capacity Utilization of Underground Coal Mines by State and Mining Method, 2012 Productive Capacity and Capacity Utilization of Underground Coal Mines by State and Mining Method, 2012 (thousand short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Table 13. Productive Capacity and Capacity Utilization of Underground Coal Mines by State and Mining Method, 2012 (thousand short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Continuous 1 Conventional and Other 2 Longwall 3 Total Coal-Producing State Productive Capacity Capacity Utilization Percent Productive Capacity Capacity Utilization Percent Productive Capacity Capacity Utilization Percent Productive Capacity Capacity Utilization Percent Alabama w w - - w w 14,594 85.99 Arkansas w w - - - - w w Colorado w w - - w w w w Illinois 24,811 76.45 - - 35,506 67.22 60,317 71.02 Indiana 16,445 94.65 - - - -

442

Preparing Guyana's REDD+ Participation: Developing Capacities for  

Open Energy Info (EERE)

Guyana's REDD+ Participation: Developing Capacities for Guyana's REDD+ Participation: Developing Capacities for Monitoring, Reporting and Verification Jump to: navigation, search Name Preparing Guyana's REDD+ Participation: Developing Capacities for Monitoring, Reporting and Verification Agency/Company /Organization Guyana Forestry Commission, The Government of Norway Sector Land Focus Area Forestry Topics Implementation, Policies/deployment programs, Background analysis Resource Type Workshop, Guide/manual Website http://unfccc.int/files/method Country Guyana UN Region Latin America and the Caribbean References Preparing Guyana's REDD+ Participation[1] Overview "In this context, the overall goal of the activities reported here are to develop a road map for the establishment of a MRV system for REDD+

443

Ethylene capacity tops 77 million mty  

SciTech Connect

World ethylene production capacity is 77.8 million metric tons/year (mty). This total represents an increase of more than 6 million mty, or almost 9%, over last year`s survey. The biggest reason for the large change is more information about plants in the CIS. Also responsible for the increase in capacity is the start-up of several large ethylene plants during the past year. The paper discusses construction of ethylene plants, feedstocks, prices, new capacity, price outlook, and problems in Europe`s ethylene market.

Rhodes, A.K.; Knott, D.

1995-04-17T23:59:59.000Z

444

International Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

3 3 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections for electricity capacity and generation by fuel Table H5. World installed nuclear generating capacity by region and country, 2010-2040 (gigawatts) Region/country Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 OECD OECD Americas 115 119 123 130 133 130 135 0.5 United States a 101 104 111 114 114 109 113 0.4 Canada 13 13 11 13 16 16 16 0.7 Mexico/Chile 1 2 2 3 4 5 6 5.1 OECD Europe 132 124 128 142 143 143 142 0.3 OECD Asia 67 45 65 71 79 80 82 0.7 Japan 49 20 34 35 36 37 37 -0.9 South Korea 18 25 32 36 43 43 45 3.2 Australia/New Zealand 0 0 0 0 0 0 0 -- Total OECD 314 288 316 343 355 352 359 0.5 Non-OECD Non-OECD Europe and Eurasia 42 49 58 65 73 80 85 2.4 Russia 24 28 35 40 45 50 55 2.8 Other 17 20 23 25 27 29 29 1.8 Non-OECD Asia 21

445

International Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

9 9 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections for electricity capacity and generation by fuel Table H11. World installed other renewable generating capacity by region and country, 2010-2040 (gigawatts) Region/country Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 OECD OECD Americas 38 40 41 42 43 45 47 0.7 United States a 35 38 39 39 40 41 43 0.7 Canada 2 2 2 2 2 2 2 0.6 Mexico/Chile 1 1 1 1 1 1 2 1.3 OECD Europe 73 75 76 77 78 79 80 0.3 OECD Asia 33 36 36 36 36 36 37 0.3 Japan 27 27 27 27 27 27 27 0.1 South Korea 4 6 6 6 6 6 6 1.2 Australia/New Zealand 2 3 3 3 3 3 3 1.4 Total OECD 144 151 153 155 158 160 163 0.4 Non-OECD Non-OECD Europe and Eurasia 4 4 4 4 4 4 5 0.2 Russia 1 1 1 1 1 1 1 0.3 Other 3 3 3 3 3 3 3 0.2 Non-OECD Asia 26 36 45 54 63 69 73 3.4 China 20 27 36 45 53 59 61 3.9 India 3 4 4 4

446

International Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

5 5 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections for electricity capacity and generation by fuel Table H7. World installed hydroelectric generating capacity by region and country, 2010-2040 (gigawatts) Region/country Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 OECD OECD Americas 170 177 181 190 201 214 228 1.0 United States a 78 78 79 79 79 80 81 0.1 Canada 75 78 80 85 93 101 109 1.3 Mexico/Chile 17 20 22 25 29 33 38 2.8 OECD Europe 151 155 169 176 183 189 195 0.9 OECD Asia 37 39 40 40 40 40 41 0.3 Japan 22 24 24 24 24 25 25 0.3 South Korea 2 2 2 2 2 2 2 0.3 Australia/New Zealand 13 13 13 13 14 14 14 0.3 Total OECD 358 371 389 405 424 443 464 0.9 Non-OECD Non-OECD Europe and Eurasia 87 91 99 103 110 118 125 1.2 Russia 47 49 54 58 62 66 69 1.3 Other 41 42 45 45 48 52 56 1.1 Non-OECD Asia

447

International Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

1 1 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections for electricity capacity and generation by fuel Table H3. World installed natural-gas-fired generating capacity by region and country, 2010-2040 (gigawatts) Region/country Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 OECD OECD Americas 402 435 461 505 568 631 697 1.9 United States a 350 379 390 420 472 519 566 1.6 Canada 20 19 26 28 29 32 35 1.9 Mexico/Chile 31 36 45 56 68 80 95 3.8 OECD Europe 217 219 213 204 218 234 252 0.5 OECD Asia 128 134 140 144 148 157 163 0.8 Japan 83 90 96 97 100 101 101 0.7 South Korea 27 26 26 28 29 35 38 1.1 Australia/New Zealand 18 18 18 19 20 22 23 1.0 Total OECD 746 787 814

448

EA-1044: Melton Valley Storage Tanks Capacity Increase Project- Oak Ridge  

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

44: Melton Valley Storage Tanks Capacity Increase Project- Oak 44: Melton Valley Storage Tanks Capacity Increase Project- Oak Ridge National Laboratory, Oak Ridge, Tennessee EA-1044: Melton Valley Storage Tanks Capacity Increase Project- Oak Ridge National Laboratory, Oak Ridge, Tennessee SUMMARY This EA evaluates the environmental impacts of the proposal to construct and maintain additional storage capacity at the U.S. Department of Energy's Oak Ridge National Laboratory, Oak Ridge, Tennessee, for liquid low-level radioactive waste. PUBLIC COMMENT OPPORTUNITIES None available at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD May 25, 1995 EA-1044: Finding of No Significant Impact Melton Valley Storage Tanks Capacity Increase Project- Oak Ridge National Laboratory, Oak Ridge, Tennessee May 25, 1995 EA-1044: Final Environmental Assessment

449

DOE Issues Enforcement Guidance on Large-Capacity Clothes Washer Waivers  

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

Issues Enforcement Guidance on Large-Capacity Clothes Washer Issues Enforcement Guidance on Large-Capacity Clothes Washer Waivers and the Waiver Process DOE Issues Enforcement Guidance on Large-Capacity Clothes Washer Waivers and the Waiver Process December 23, 2010 - 5:14pm Addthis Today, the Department of Energy issued enforcement guidance on the application of recently granted waivers for large-capacity clothes washers and announced steps to improve the waiver process - and refrain from certain enforcement actions - so that innovative covered products can demonstrate compliance with DOE efficiency requirements and come to market without undue delays. Based on comments received in response to DOE's November 30, 2010 notice, today's guidance makes clear that DOE's current test procedure does not cover large-capacity clothes washers and,

450

DOE Issues Enforcement Guidance on Large-Capacity Clothes Washer Waivers  

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

Issues Enforcement Guidance on Large-Capacity Clothes Washer Issues Enforcement Guidance on Large-Capacity Clothes Washer Waivers and the Waiver Process DOE Issues Enforcement Guidance on Large-Capacity Clothes Washer Waivers and the Waiver Process December 23, 2010 - 5:14pm Addthis Today, the Department of Energy issued enforcement guidance on the application of recently granted waivers for large-capacity clothes washers and announced steps to improve the waiver process - and refrain from certain enforcement actions - so that innovative covered products can demonstrate compliance with DOE efficiency requirements and come to market without undue delays. Based on comments received in response to DOE's November 30, 2010 notice, today's guidance makes clear that DOE's current test procedure does not cover large-capacity clothes washers and,

451

Electrolux to DOE General Counsel; Re:Request for Comment on Large Capacity  

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

Electrolux to DOE General Counsel; Re:Request for Comment on Large Electrolux to DOE General Counsel; Re:Request for Comment on Large Capacity Clothes Washers Electrolux to DOE General Counsel; Re:Request for Comment on Large Capacity Clothes Washers Letter from Electrolux to Department of Energy General Counsel; Re:Request for Comment on Large Capacity Clothes Washers Electrolux sumitted comments on re-testing, re-certification, and re-rating of large-capacity residential clothes washers tested with alternative procedures under a waiver situation. Elextrolux requested a waiver and interim waivers for large-capacity. Electrrolux addressed the General Counsel's specific question on retesting and stated that so long as the manufacturer documents that it has tested the products in accordance with the actual basket volume

452

Data:Fc9ed88b-9977-4be8-ad87-8cf684a27ae9 | Open Energy Information  

Open Energy Info (EERE)

ed88b-9977-4be8-ad87-8cf684a27ae9 ed88b-9977-4be8-ad87-8cf684a27ae9 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Minnesota Power Inc Effective date: 2013/01/01 End date if known: Rate name: ERIE MINE SITE SERVICE Sector: Description: Shall consist of the following components: A. Generation Capacity Charge, B. Energy Charge, C. Transmission Service Charge, and D. Billing/Customer Charge. A. Generation Capacity Charge The Generation Capacity Charge shall be $13.39 per kW per month for calendar year 2012. The Generation Capacity Charge for each subsequent year shall be recalculated annually by December 31 using budget data for the subsequent year. The Generation Capacity Charge shall be the sum of Company's budgeted: i) net book value of the Taconite Harbor facilities multiplied by Company's allowed retail pre-tax cost of longterm debt, ii) Taconite Harbor depreciation and amortization expense, iii) Taconite Harbor property tax expense, and iv) Taconite Harbor fixed operating and maintenance expense. The capital investment and incremental operating and maintenance costs that are recovered through Company's Rider for Arrowhead Regional Emission Abatement (AREA) shall be excluded from the preceding calculations. The above total shall be increased by 12% to account for reserve capacity supply, divided by the Taconite Harbor accredited capacity in kW, and averaged over 12 months to result in a monthly Generation Capacity Charge to be applied to each kW of Customer's Billing Demand. B. Energy Charge The Energy Charge shall be determined monthly based on a combination of the average monthly Taconite Harbor energy cost and Company's hourly incremental energy cost, as follows: * During hours when at least two of the three Taconite Harbor units are available, the Energy Charge shall be equal to the average monthly Taconite Harbor energy cost. * During hours when fewer than two of the three Taconite Harbor units are available, the Energy Charge shall be equal to 50% of the average monthly Taconite Harbor energy cost plus 50% of the Company's hourly incremental energy cost. The Taconite Harbor energy cost for each month shall be the total cost of fuel consumed by the Taconite Harbor units during the month, plus all fixed and variable operating and maintenance expenses not included in the Generation Capacity Charge, divided by the net energy produced by the Taconite Harbor units during the month. The Company's hourly incremental energy cost shall include fuel costs and variable operation and maintenance expenses for generating or purchasing the energy, and shall be the highest cost energy after assigning lower cost energy to all firm retail and wholesale customers including all inter-system pool sales which involve capacity on a firm or participation basis, and to all interruptible sales to Large Power, Large Light and Power, and General Service customers. The Energy Charge shall be applicable to all kilowatt-hours (kWh) of energy taken by Customer in the month. C. Transmission Service Charge The Transmission Service Charge shall be equal to the Large Power transmission demand cost determined in Company's latest retail cost of service study approved by the Minnesota Public Utilities Commission (MPUC) as part of a general retail rate case, adjusted to exclude the estimated pre-tax return on equity component of costs associated with the transmission assets acquired from LTV. The Transmission Service Charge shall be applicable monthly to each kW of Billing Demand. This rate shall be $2.59 per kW per month.

453

Energy Efficient Mortgages | Department of Energy  

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

more borrowing capacity to buy an energy efficient house or to cover the cost of new energy improvements. For an EEM program, state and local governments typically engage via...

454

Capacity Building on Promoting Sustainable Development in the GMS | Open  

Open Energy Info (EERE)

Promoting Sustainable Development in the GMS Promoting Sustainable Development in the GMS Jump to: navigation, search Name Capacity Building on Promoting Sustainable Development in the GMS Agency/Company /Organization AIT-UNEP Regional Resource Centre for Asia and the Pacific Sector Energy, Land Topics Implementation, Policies/deployment programs, Background analysis Resource Type Guide/manual Website http://www.rrcap.unep.org/nsds Country Cambodia, China, Laos, Thailand, Vietnam, Myanmar UN Region South-Eastern Asia References Capacity Building in GMS[1] Summary "The study assesses the state of sustainable development strategies (SDS) in the Greater Mekong Subregion (GMS) - within each of the six member-countries and in the subregion as a whole - with a view towards identifying appropriate improvements that would bring about strong national

455

Estimation of capacity credit for wind power in Libya  

Science Journals Connector (OSTI)

This paper presents the results of a study that evaluated the wind potential at the central region of the Libyan coast and estimated the capacity credit of wind power in the national network. Several sites were investigated to choose the most suitable sites for wind farm establishment. Different sizes of Wind Energy Converter Systems (WECSs) were selected to estimate the wind potential. The sizes were selected to satisfy present and future market development as well as to satisfy technical, economic, and environmental aspects. Wind data from three meteorological stations in the proposed region were used in assessing the wind potential. The wind potential was estimated according to the characteristics of the sites and power curves of the WECSs, and considering certain assumptions. The results showed that the capacity credit varied from about 20% to 50%, depending on penetration levels of wind power, for the assumptions made in this study.

Wedad B. El-Osta; Mohamed Ali Ekhlat; Amal S. Yagoub; Yousef Khalifa; E. Borass

2005-01-01T23:59:59.000Z

456

Measurement of average resistance in underwater breathing apparatus  

SciTech Connect

Underwater Breathing Apparatus (UBA) have long been characterized by the mechanical work done on them during simulated breathing. For 20 years, the work of breathing has been divided by tidal volume to yield what is properly considered a volume-averaged pressure. The authors assert that when volume-averaged pressure is divided by a factor proportional to ventilation, the result is a measure of flow resistance averaged over an entire breath. This point is illustrated with both theoretical and actual pressure-volume and pressure-flow curves for a MK 16 closed-circuit UBA.

Clarke, J.R. [Navy Experimental Diving Unit, Panama City, FL (United States)

1996-09-01T23:59:59.000Z

457

Time average vibration fringe analysis using Hilbert transformation  

SciTech Connect

Quantitative phase information from a single interferogram can be obtained using the Hilbert transform (HT). We have applied the HT method for quantitative evaluation of Bessel fringes obtained in time average TV holography. The method requires only one fringe pattern for the extraction of vibration amplitude and reduces the complexity in quantifying the data experienced in the time average reference bias modulation method, which uses multiple fringe frames. The technique is demonstrated for the measurement of out-of-plane vibration amplitude on a small scale specimen using a time average microscopic TV holography system.

Kumar, Upputuri Paul; Mohan, Nandigana Krishna; Kothiyal, Mahendra Prasad

2010-10-20T23:59:59.000Z

458

Perceived Socioeconomic Impacts of Wind Energy in West Texas  

E-Print Network (OSTI)

Wind power is a fast growing alternative energy source. Since 2000, wind energy capacity has increased 24 percent per year with Texas leading the U.S. in installed wind turbine capacity. Most socioeconomic research in wind energy has focused...

Persons, Nicole D.

2010-07-14T23:59:59.000Z

459

Interactions between Energy Efficiency Programs funded under the Recovery Act and Utility Customer-Funded Energy Efficiency Programs  

E-Print Network (OSTI)

from ISO/RTO forward capacity markets to supplement fundsand- trade and forward capacity market payments are modestISO-NE which has a forward capacity market in which energy

Goldman, Charles A.

2011-01-01T23:59:59.000Z

460

U.S. Refinery Utilization and Capacity  

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

2008 2009 2010 2011 2012 2013 View History Gross Input to Atmospheric Crude Oil Distillation Units 15,027 14,659 15,177 15,289 15,373 15,724 1985-2013 Operable Capacity (Calendar...

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

Information capacity of a single photon  

Science Journals Connector (OSTI)

Quantum states of light are the obvious choice for communicating quantum information. To date, encoding information into the polarization states of single photons has been widely used as these states form a natural closed two-state qubit. However, photons are able to encode much morein principle, infiniteinformation via the continuous spatiotemporal degrees of freedom. Here we consider the information capacity of an optical quantum channel, such as an optical fiber, where a spectrally encoded single photon is the means of communication. We use the Holevo bound to calculate an upper bound on the channel capacity, and relate this to the spectral encoding basis and the spectral properties of the channel. Further, we derive analytic bounds on the capacity of such channels, and, in the case of a symmetric two-state encoding, calculate the exact capacity of the corresponding channel.

Peter P. Rohde; Joseph F. Fitzsimons; Alexei Gilchrist

2013-08-09T23:59:59.000Z

462

Information capacity of holograms in photorefractive crystals  

Science Journals Connector (OSTI)

From a single measurement of the signal-to-noise ratio of the image reconstructed from a hologram it is possible to estimate the information capacity of superimposed holograms and to...

Miridonov, S V; Kamshilin, A A; Khomenko, A V; Tentori, D

1994-01-01T23:59:59.000Z

463

Internal Markets for Supply Chain Capacity Allocation  

E-Print Network (OSTI)

This paper explores the possibility of solving supply chain capacity allocation problems using internal markets among employees of the same company. Unlike earlier forms of transfer pricing, IT now makes it easier for such ...

McAdams, David

2005-07-08T23:59:59.000Z

464

Tripling the capacity of wireless communications using  

E-Print Network (OSTI)

channels of electric-®eld polarization for wireless communication. In order to make our statements more................................................................. Tripling the capacity of wireless .............................................................................................................................................. Wireless communications are a fundamental part of modern information infrastructure. But wireless bandwidth

465

Heat Capacity as A Witness of Entanglement  

E-Print Network (OSTI)

We demonstrate that the presence of entanglement in macroscopic bodies (e.g. solids) in thermodynamical equilibrium could be revealed by measuring heat-capacity. The idea is that if the system were in a separable state, then for certain Hamiltonians heat capacity would not tend asymptotically to zero as the temperature approaches absolute zero. Since this would contradict the third law of thermodynamics, one concludes that the system must contain entanglement. The separable bounds are obtained by minimization of the heat capacity over separable states and using its universal low-temperature behavior. Our results open up a possibility to use standard experimental techniques of solid state physics -- namely, heat capacity measurements -- to detect entanglement in macroscopic samples.

Marcin Wiesniak; Vlatko Vedral; Caslav Brukner

2005-08-26T23:59:59.000Z

466

Averaging Spacetime: Where do we go from here?  

E-Print Network (OSTI)

The construction of an averaged theory of gravity based on Einstein's General Relativity is very difficult due to the non-linear nature of the gravitational field equations. This problem is further exacerbated by the difficulty in defining a mathematically precise covariant averaging procedure for tensor fields over differentiable manifolds. Together, these two ideas have been called the averaging problem for General Relativity. In the first part of the talk, an attempt to review some the various approaches to this problem will be given, highlighting strengths, weaknesses, and commonalities between them. In the second part of the talk, an argument will be made, that if one wishes to develop a well-defined averaging procedure, one may choose to parallel transport along geodesics with respect to the Levi-Cevita connection or, use the Weitzenb\\"ock connection and ensure the transportation is independent of path. The talk concludes with some open questions to generate further discussion.

R. J. van den Hoogen

2010-04-15T23:59:59.000Z

467

U.S. average gasoline price up slightly  

Annual Energy Outlook 2012 (EIA)

average retail price for regular gasoline rose slightly to 3.65 a gallon on Monday. That's up a tenth of a penny from a week ago, based on the weekly price survey by the U.S....

468

Fact #671: April 18, 2011 Average Truck Speeds  

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

The Federal Highway Administration studies traffic volume and flow on major truck routes by tracking more than 500,000 trucks. The average speed of trucks on selected interstate highways is between...

469

Weighted Coherence: A More Effective Measure Than Average Coherence  

Science Journals Connector (OSTI)

In this study, we evaluated the effectiveness of the statistic, Weighted Coherence in relation to the average or mean coherence in a particular frequency band after cross- ... using cross-spectral analysis is r...

Vikram Kumar Yeragani; Arindam Barua

2003-12-01T23:59:59.000Z

470

U.S. Energy Information Administration (EIA) - Source  

Annual Energy Outlook 2012 (EIA)

increases in average minemouth prices.... Read full section Concerns about future GHG policies affect builds of new coal-fired generating capacity.... Read full section...

471

,"U.S. Conventional, Average Refiner Gasoline Prices"  

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

Conventional, Average Refiner Gasoline Prices" Conventional, Average Refiner Gasoline Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Conventional, Average Refiner Gasoline Prices",6,"Monthly","9/2013","1/15/1994" ,"Release Date:","12/2/2013" ,"Next Release Date:","1/2/2014" ,"Excel File Name:","pet_pri_refmg2_c_nus_epm0u_dpgal_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pri_refmg2_c_nus_epm0u_dpgal_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

472

,"U.S. Reformulated, Average Refiner Gasoline Prices"  

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

Reformulated, Average Refiner Gasoline Prices" Reformulated, Average Refiner Gasoline Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Reformulated, Average Refiner Gasoline Prices",6,"Monthly","9/2013","1/15/1994" ,"Release Date:","12/2/2013" ,"Next Release Date:","1/2/2014" ,"Excel File Name:","pet_pri_refmg2_c_nus_epm0r_dpgal_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pri_refmg2_c_nus_epm0r_dpgal_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

473

,"Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities"  

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

Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities",16,"Monthly","9/2013","1/15/1985" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_crq_a_epc0_ycs_pct_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_crq_a_epc0_ycs_pct_m.htm" ,"Source:","Energy Information Administration"

474

Table A44. Average Prices of Purchased Electricity and Steam  

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

4. Average Prices of Purchased Electricity and Steam" 4. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam" ," (kWh)",," (million Btu)" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

475

Flavor Physics Data from the Heavy Flavor Averaging Group (HFAG)  

DOE Data Explorer (OSTI)

The Heavy Flavor Averaging Group (HFAG) was established at the May 2002 Flavor Physics and CP Violation Conference in Philadelphia, and continues the LEP Heavy Flavor Steering Group's tradition of providing regular updates to the world averages of heavy flavor quantities. Data are provided by six subgroups that each focus on a different set of heavy flavor measurements: B lifetimes and oscillation parameters, Semi-leptonic B decays, Rare B decays, Unitarity triangle parameters, B decays to charm final states, and Charm Physics.

476

Measuring the capacity impacts of demand response  

SciTech Connect

Critical peak pricing and peak time rebate programs offer benefits by increasing system reliability, and therefore, reducing capacity needs of the electric power system. These benefits, however, decrease substantially as the size of the programs grows relative to the system size. More flexible schemes for deployment of demand response can help address the decreasing returns to scale in capacity value, but more flexible demand response has decreasing returns to scale as well. (author)

Earle, Robert; Kahn, Edward P.; Macan, Edo

2009-07-15T23:59:59.000Z

477

Capacity factors and solar job creation  

Science Journals Connector (OSTI)

We discuss two main job creation statistics often used by solar advocates to support increased solar deployment. Whilst overall solar technologies have a tendency to be labor-intensive, we find that the jobs per gigawatt hour statistic is relatively mis-leading as it has a tendency to reward technologies that have a low capacity factor. Ultimately the lower the capacity factor the more amplified the solar job creation number.

Matt Croucher

2011-01-01T23:59:59.000Z

478

U.S. Refiner Sales to End Users (Average) Prices  

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

Sales Type: Sales to End Users, Average Through Retail Outlets Sales for Resale, Average DTW Rack Bulk Sales Type: Sales to End Users, Average Through Retail Outlets Sales for Resale, Average DTW Rack Bulk Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Formulation/ Grade Sales Type Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Conventional, Average 3.030 3.137 3.122 3.063 3.042 2.972 1994-2013 Conventional Regular 3.005 3.116 3.102 3.040 3.017 2.948 1994-2013 Conventional Midgrade 3.167 3.256 3.239 3.200 3.193 3.121 1994-2013 Conventional Premium 3.269 3.354 3.327 3.291 3.274 3.203 1994-2013 Oxygenated, Average - - - - - - 1994-2013 Oxygenated Regular - - - - - - 1994-2013 Oxygenated Midgrade - - - - - - 1994-2013

479

Examining Repository Loading Options to Expand Yucca Mountain Repository Capacity  

SciTech Connect

Siting a high level nuclear waste repository entails high economic, social, and political costs. Given the difficulty in siting the Yucca Mountain repository and the already identified need for additional capacity, the concept of expanding the capacity of the Yucca Mountain repository is of significant interest to the nuclear industry and the Department of Energy (DOE). As the capacity of the repository is limited by the decay heat inventory of the spent nuclear fuel in relation to the thermal design limits, expanding the capacity requires appropriate schemes for decay heat and spent fuel loading management. The current Yucca Mountain repository is based on a single level, fixed drift spacing design for a fixed area or footprint. Studies performed to date investigating the capacity of Yucca Mountain often assume that the loading of spent fuel is uniform throughout the repository and use the concept of a linear loading or areal power density (APD). However, use of linear loading or APD can be problematic with the various cooling times involved. The temperature within the repository at any point in time is controlled by the integral of the heat deposited in the repository. The integral of the decay heat varies as a function of pre-loading cooling periods even for a fixed linear loading. A meaningful repository capacity analysis requires the use of a computer model that describes the time-dependent temperature distributions of the rock from the dissipation of the heat through the repository system. If variations from the current Yucca Mountain repository design were to be considered, expanding the capacity of the repository would be pursued in several ways including: (1) increase the footprint size; (2) implement multiple-levels in the repository for the given footprint; (3) allow the drift distance to vary within thermal limits; and, (4) allow non-uniform loading of wastes into the drifts within thermal limits. Options (1) and (2) have been investigated by other researchers. This paper investigates options (3) and (4) for possible expansion of the Yucca Mountain repository capacity. To support the work, a thermal analysis model was needed to describe the temperature changes in the rock around the waste packages against the thermal design limits as a function of spent fuel characteristics and composition. Under the high temperature operating mode (HTOM), the relevant thermal design limits are: (1) the rock temperature midway between adjacent drifts must remain below the local boiling point (96 deg. C); and (2) the rock temperature at drift walls must remain below 200 deg. C. As the work involves a large number of calculations, examining the compliance within thermal design limits, the capability to perform efficient mountain-scale heat-transfer analyses was necessary. A related topic of importance in this investigation was also the effect of uncertainty. As the modeling exercise relies on the use of computational models, uncertainties are unavoidable and understanding the uncertainty in the interpretation of the results is important. The concept of variable drift spacing and variable drift thermal loading was investigated with respect to possible capacity expansion of the Yucca Mountain repository. Also, a computer model was developed for efficient repository heat transfer calculations and sensitivity and uncertainty analyses were performed to identify key parameters and to estimate the uncertainty in the results and understand how the repository capacity estimation would be affected by the uncertainty. (authors)

Li, Jun; Nicholson, Mark; Proctor, W. Cyrus; Yim, Man-Sung; McNelis, David [Department of Nuclear Engineering, North Carolina State University (United States)

2007-07-01T23:59:59.000Z

480

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

Open Energy Info (EERE)

Peru-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Peru-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Peru-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 Peru South 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

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481

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

Open Energy Info (EERE)

Serbia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Serbia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Serbia-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 Serbia Southern 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

482

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

Open Energy Info (EERE)

Zambia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Zambia-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Zambia-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 Zambia Eastern Africa 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

483

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

Open Energy Info (EERE)

Malawi-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Malawi-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Malawi-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 Malawi Eastern Africa 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

484

Better Building Alliance, Plug and Process Loads in Commercial Buildings: Capacity and Power Requirement Analysis (Brochure)  

SciTech Connect

This brochure addresses gaps in actionable knowledge that can help reduce the plug load capacities designed into buildings. Prospective building occupants and real estate brokers lack accurate references for plug and process load (PPL) capacity requirements, so they often request 5-10 W/ft2 in their lease agreements. This brochure should be used to make these decisions so systems can operate more energy efficiently; upfront capital costs will also decrease. This information can also be used to drive changes in negotiations about PPL energy demands. It should enable brokers and tenants to agree about lower PPL capacities. Owner-occupied buildings will also benefit. Overestimating PPL capacity leads designers to oversize electrical infrastructure and cooling systems.

Not Available

2014-09-01T23:59:59.000Z

485

GIZ-Developing Climate Policy Capacity within the South African Department  

Open Energy Info (EERE)

Policy Capacity within the South African Department Policy Capacity within the South African Department of Environmental Affairs (DEA) Jump to: navigation, search Name South Africa - Developing Climate Policy Capacity within DEA Agency/Company /Organization German Agency for International Cooperation (GIZ) Partner South African Department of Environmental Affairs (DEA), Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU) Sector Energy Focus Area Energy Efficiency Topics Background analysis, Low emission development planning, Pathways analysis Website http://www.gtz.de/en/weltweit/ Program Start 2009 Program End 2011 Country South Africa UN Region Eastern Africa References Championing Action against Climate Change in South Africa[1] "This project will support DEA in its climate policy capacity building, in

486

Definition: Energy | Open Energy Information  

Open Energy Info (EERE)

Energy Energy Broadly defined as the capacity to do work. There are many forms of energy, including: chemical, electrical, gravitational, mechanical, nuclear, radiant, and thermal energy. The official SI unit for energy is the joule (J); energy can also be measured in calories or British thermal units (Btu).[1][2][3] View on Wikipedia Wikipedia Definition In physics, energy is a conserved extensive property of a physical system, which cannot be observed directly but can be calculated from its state. Energy is of central importance in physics. It is impossible to give a comprehensive definition of energy because of the many forms it may take, but the most common definition is that it is the capacity of a system to perform work. The definition of work in physics is the movement of a force

487

Short Term Energy Outlook, February 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 1 Short-Term Energy Outlook February 2003 Overview World Oil Markets. World oil markets will likely remain tight through most of 2003, as petroleum inventories and global spare production capacity continue to dwindle amid blasts of cold weather and constrained output from Venezuela. OPEC efforts to increase output to make up for lower Venezuela output has reduced global spare production capacity to only 2 million barrels per day, leaving little room to make up for unexpected supply or demand surprises. Meanwhile, the average West Texas Intermediate (WTI) crude oil price increased by $3.50 to $33 per barrel from December to January (Figure 1). For the year 2003, WTI oil prices are expected to remain over $30 per barrel, even though Venezuelan output appears to be moving toward normal sooner than expected. Also,