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We encourage you to perform a real-time search of NLEBeta
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1

Definition: Kilowatt-hour | Open Energy Information  

Open Energy Info (EERE)

Kilowatt-hour Kilowatt-hour Jump to: navigation, search Dictionary.png Kilowatt-hour A unit of measure for energy, typically applied to electricity usage; equal to the amount of energy used at a rate of 1,000 watts over the course of one hour. One kWh is equivalent to 3,412 Btu, or 3,600 kJ.[1][2] View on Wikipedia Wikipedia Definition The kilowatt hour, or kilowatt-hour, (symbol kW·h, kW h or kWh) is a unit of energy equal to 1000 watt hours or 3.6 megajoules. For constant power, energy in watt hours is the product of power in watts and time in hours. The kilowatt hour is most commonly known as a billing unit for energy delivered to consumers by electric utilities. Also Known As kWh Related Terms British thermal unit, Electricity, Energy, Kilowatt, energy, electricity generation

2

How much carbon dioxide (CO 2 ) is produced per kilowatt-hour ...  

U.S. Energy Information Administration (EIA)

How much carbon dioxide (CO 2) is produced per kilowatt-hour when generating electricity with fossil fuels? You can calculate the amount of CO2 produced per kWh for ...

3

Optical watthour meter digitizer  

SciTech Connect

As concern about energy conservation and energy-use efficiency increases, a simple and inexpensive instrument that would provide accurate, reliable and high-resolution data on electrical energy usage should find widespread application in research and industrial facilities. An instrument that would also provide one or more outputs compatible with a wide range of digital data acquisition systems would be especially appropriate, since the use of automatic data logging equipment is now common, even in small-scale and low-budget operations. An optical watthour meter digitizer was developed which meets these criteria. Based on the induction-type watthour meter, the digitizer provides an output pulse for a fixed amount of energy use. The digitizer senses the motion of the rotor disc of the meter by optically detecting passage of a nonreflective area painted on the underside of the disc. The passage of such area initiates a logic-compatible output pulse that can be used to measure power or energy usage in a variety of ways. The accuracy of the measurement is determined by the watthour meter. The resolution of the measurement is determined by the K/sub h/ constant (in watthours per revolution) of the meter and the number of equally spaced targets painted on the disc. The resolution of this device can be as small as a fraction of a watthour; the resolution of the manually read register on a watthour meter is typically a fraction of a kilowatthour. Several digitizers were fabricated, bench-tested, and installed in the field for long-term performance testing. All are performing satisfactorily.

Andrews, W.H.

1980-10-01T23:59:59.000Z

4

Energy savings can be communicated in terms of kilowatt hours (energy), carbon (climate change) or pounds (cost).  

E-Print Network (OSTI)

AIM Energy savings can be communicated in terms of kilowatt hours (energy), carbon (climate change for saving energy and impact subsequent perceptions and behaviour. A particular focus here is behaviour beyond immediate energy consumption behaviour, i.e., more general environmental behaviours. SOCIAL VALUES

McAuley, Derek

5

Definition: Kilowatt | Open Energy Information  

Open Energy Info (EERE)

Known As kW Related Terms Kilowatt-hour, Power, Watt, power References http:www1.eere.energy.govsiteadministrationglossary.htmlK http:needtoknow.nas.eduenergy...

6

Kilowatt Challenge Ad  

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

UNE UNE 3 3 J J UNE UNE 21 21 In just an hour you can learn how to save energy and save money BUILDING AUTOMATED SYSTEMS Learn all about control strategies for HVAC and lighting...

7

Watthour meter accuracy under controlled unbalanced harmonic voltage and current conditions  

SciTech Connect

This work presents the results of phase 1 of the project on the accuracy of watthour meters when subjected to closely-duplicated real-world unbalanced harmonic voltage and current conditions. Such real-world conditions involved differences in voltage and current magnitudes as well as differences in the voltage and current total harmonic distortion levels of each phase. Tests were performed on a selected sample of nine three-phase and three single-phase watthour meters. Some results showed that under a particular set of unbalanced waveforms with harmonic conditions of I{sub THD} > 80% and V{sub THD} > 2%, the percentage errors exhibited by these meters ranged from {minus}10.09% to +0.52%.

Domijan, A. Jr.; Embriz-Santander, E.; Gilani, A. [Univ. of Florida, Gainesville, FL (United States). Dept. of Electrical Engineering; Lamer, G.; Stiles, C.; Williams, C.W. Jr. [Florida Power Corp., St. Petersburg, FL (United States)

1996-01-01T23:59:59.000Z

8

Central Florida Energy Efficiency Alliance (CFEEA) Kilowatt Crackdown...  

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

Central Florida Energy Efficiency Alliance (CFEEA) Kilowatt Crackdown Challenge Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers...

9

Dirty kilowatts: America's most polluting power plants  

SciTech Connect

In 2006, the US EPA tracked more than 1,400 fossil-fired power plants of varying sizes through its Acid Rain Program. This report ranks each of the 378 largest plants (generating at least 2 million megawatt-hours in 2006) for which both the most recent EPA emissions data and Energy Information Administration (EIA) electric generation data are available. The report ranks each plant based on emission rates, or pounds of pollutant for each megawatt-hour (or million megawatt-hours, in the case of mercury) the plant produced. It ranks the top fifty power plants polluters for sulfur dioxide, nitrogen oxides, carbon dioxide, and mercury. A complete listing of all 378 plants is included as Appendix A. Appendix B contains overheads of an NETL presentation: Tracking new coal-fired power plants - coal's resurgence in electric power generation, 24 January 2007. The 12 states with the heaviest concentrations of the dirtiest power plants, in terms of total tons of carbon dioxide emitted, are: Texas (five, including two of the top 10 dirtiest plants); Pennsylvania (four); Indiana (four, including two of the top 10 dirtiest plants); Alabama (three); Georgia (three, including two of the top three dirtiest plants); North Carolina (three); Ohio (three); West Virginia (three); Wyoming (two); Florida (two); Kentucky (two); and New Mexico (two). Carbon dioxide emissions from power plants are now at roughly 2.5 billion tons per year. Power plants are responsible for about 30%-40% of all man-made CO{sub 2} emissions in the USA. Power plants, especially those that burn coal, are by far the largest single contributor of SO{sub 2} pollution in the United States. Power plant mercury emissions remain steady as compared to previous years. A searchable database ranking 378 U.S. power plants on carbon dioxide, sulfur dioxide, nitrogen oxide and mercury pollution is available online at http://www.dirtykilowatts.org. 22 refs., 8 tabs., 2 apps.

NONE

2007-07-15T23:59:59.000Z

10

Experimental and cost analyses of a one kilowatt-hour/day domestic refrigerator-freezer  

SciTech Connect

Over the past ten years, government regulations for energy standards, coupled with the utility industry`s promotion of energy-efficient appliances, have prompted appliance manufacturers to reduce energy consumption in refrigerator-freezers by approximately 40%. Global concerns over ozone depletion have also required the appliance industry to eliminate CFC-12 and CFC-11 while concurrently improving energy efficiency to reduce greenhouse emissions. In response to expected future regulations that will be more stringent, several design options were investigated for improving the energy efficiency of a conventionally designed, domestic refrigerator-freezer. The options, such as cabinet and door insulation improvements and a high-efficiency compressor were incorporated into a prototype refrigerator-freezer cabinet and refrigeration system. Baseline energy consumption of the original 1996 production refrigerator-freezer, along with cabinet heat load and compressor calorimeter test results, were extensively documented to provide a firm basis for experimentally measured energy savings. The goal for the project was to achieve an energy consumption that is 50% below in 1993 National Appliance Energy Conservation Act (NAECA) standard for 20 ft{sup 3} (570 l) units. Based on discussions with manufacturers to determine the most promising energy-saving options, a laboratory prototype was fabricated and tested to experimentally verify the energy consumption of a unit with vacuum insulation around the freezer, increased door thicknesses, a high-efficiency compressor, a low wattage condenser fan, a larger counterflow evaporator, and adaptive defrost control.

Vineyard, E.A.; Sand, J.R.

1997-05-01T23:59:59.000Z

11

Fridge of the future: Designing a one-kilowatt-hour/day domestic refrigerator-freezer  

SciTech Connect

An industry/government Cooperative Research and Development Agreement (CRADA) was established to evaluate and test design concepts for a domestic refrigerator-freezer unit that represents approximately 60% of the US market. The goal of the CRADA was to demonstrate advanced technologies which reduce, by 50 percent, the 1993 NAECA standard energy consumption for a 20 ft{sup 3} (570 I) top-mount, automatic-defrost, refrigerator-freezer. For a unit this size, the goal translated to an energy consumption of 1.003 kWh/d. The general objective of the research was to facilitate the introduction of cost-efficient technologies by demonstrating design changes that can be effectively incorporated into new products. A 1996 model refrigerator-freezer was selected as the baseline unit for testing. Since the unit was required to meet the 1993 NAECA standards, the energy consumption was quite low (1.676 kWh/d), thus making further reductions in energy consumption very challenging. Among the energy saving features incorporated into the original design of the baseline unit were a low-wattage evaporator fan, increased insulation thicknesses, and liquid line flange heaters.

Vineyard, E.A.; Sand, J.R.

1998-03-01T23:59:59.000Z

12

Central Florida Energy Efficiency Alliance (CFEEA) Kilowatt Crackdown  

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

» Central Florida Energy Efficiency Alliance (CFEEA) Kilowatt » Central Florida Energy Efficiency Alliance (CFEEA) Kilowatt Crackdown Challenge Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Benchmark energy use ENERGY STAR in action Communicate and educate

13

Deep cuts in household greenhouse gas emissions Andrew Blakers  

E-Print Network (OSTI)

an electric light bulb with a power of 100 W for 10 hours then 1,000 watt-hours, or 1 kilowatt hour (k simple measure! 2. Incandescent light bulbs will be phased out over the next few years, but if you do frequently used incandescent light fittings with compact fluorescent lights will reduce your lighting bill

14

Kilowatt isotope power system phase II plan. Volume II: flight System Conceptual Design (FSCD)  

SciTech Connect

The Kilowatt Isotope Power System (KIPS) Flight System Conceptual Design (FSCD) is described. Included are a background, a description of the flight system conceptual design, configuration of components, flight system performance, Ground Demonstration System test results, and advanced development tests.

1978-03-01T23:59:59.000Z

15

NREL: Wind Research - Gaia-Wind's 11 Kilowatt Wind Turbine Testing and  

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

Gaia-Wind's 11 Kilowatt Wind Turbine Testing and Results Gaia-Wind's 11 Kilowatt Wind Turbine Testing and Results A video of Gaia-Wind's 11-kW wind turbine. Text Version As part of the National Renewable Energy Laboratory and U.S. Department of Energy (NREL/DOE) Independent Testing project, NREL tested Gaia-Wind's 11-kilowatt (kW) small wind turbine at the National Wind Technology Center (NWTC). Gaia-Wind's turbine is a three-phase induction generator that operates at 480 volts. The turbine's downwind rotor has a 13-meter diameter, and its tower is 18 meters tall. The two-bladed, oversized rotor is designed for low to moderate wind speeds. Testing Summary The summary of the tests is below with the final reports. Cumulative Energy Production 6/11/2008: 210; 6/13/2008: 528; 6/16/2008: 716; 6/18/2008: 731; 6/19/2008:

16

Storing hydroelectricity to meet peak-hour demand  

Science Conference Proceedings (OSTI)

This paper reports on pumped storage plants which have become an effective way for some utility companies that derive power from hydroelectric facilities to economically store baseload energy during off-peak hours for use during peak hourly demands. According to the Electric Power Research Institute (EPRI) in Palo Alto, Calif., 36 of these plants provide approximately 20 gigawatts, or about 3 percent of U.S. generating capacity. During peak-demand periods, utilities are often stretched beyond their capacity to provide power and must therefore purchase it from neighboring utilities. Building new baseload power plants, typically nuclear or coal-fired facilities that run 24 hours per day seven days a week, is expensive, about $1500 per kilowatt, according to Robert Schainker, program manager for energy storage at the EPRI. Schainker the that building peaking plants at $400 per kilowatt, which run a few hours a day on gas or oil fuel, is less costly than building baseload plants. Operating them, however, is more expensive because peaking plants are less efficient that baseload plants.

Valenti, M.

1992-04-01T23:59:59.000Z

17

A kilowatt average power laser for sub-picosecond materials processing  

Science Conference Proceedings (OSTI)

The performance of laser pulses in the sub-picosecond range for materials processing is substantially enhanced over similar fluences delivered in longer pulses. Recent advances in the development of solid state lasers have progressed significantly toward the higher average powers potentially useful for many applications. Nonetheless, prospects remain distant for multi-kilowatt sub-picosecond solid state systems such as would be required for industrial scale surface processing of metals and polymers. The authors present operational results from the world's first kilowatt scale ultra-fast materials processing laser. A Free Electron Laser (FEL) called the IR Demo is operational as a User Facility at Thomas Jefferson National Accelerator Facility in Newport News, Virginia, USA. In its initial operation at high average power it is capable of wavelengths in the 2 to 6 micron range and can produce {approximately}0.7 ps pulses in a continuous train at {approximately}75 MHz. This pulse length has been shown to be nearly optimal for deposition of energy in materials at the surface. Upgrades in the near future will extend operation beyond 10 kW CW average power in the near IR and kilowatt levels of power at wavelengths from 0.3 to 60 microns. This paper will cover the design and performance of this groundbreaking laser and operational aspects of the User Facility.

Stephen V. Benson; George R. Neil; C. Bohn; , G. Biallas; D. Douglas; F. Dylla; J. Fugitt; K. Jordan; G. Krafft; , L. Merminga; , J. Preble; , Michelle D. Shinn; T. Siggins; R. Walker; B. Yunn

1999-11-01T23:59:59.000Z

18

hourly | OpenEI  

Open Energy Info (EERE)

hourly hourly Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

19

Aluminum-blade development for the Mod-0A 200-kilowatt wind turbine  

DOE Green Energy (OSTI)

This report documents the operating experience with two aluminum blades used on the DOE/NASA Mod-0A 200-kilowatt wind turbine located at Clayton, New Mexico. Each Mod-0A aluminum blade is 59.9 feet long and weighs 2360 pounds. The aluminum Mod-0A blade design requirements, the selected design, fabrication procedures, and the blade analyses are discussed. A detailed chronology is presented on the operating experience of the Mod-0A aluminum blades used at Clayton, New Mexico. Blade structural damage was experienced. Inspection and damage assessment were required. Structural modifications that were incorporated to the blades successfully extended the useful operating life of the blades. The aluminum blades completed the planned 2 years of operation of the Clayton wind turbine. The blades were removed from service in August 1980 to allow testing of advanced technology wood composite blades.

Linscott, B.S.; Shaltens, R.K.; Eggers, A.G.

1981-12-01T23:59:59.000Z

20

Property:PotentialOnshoreWindGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialOnshoreWindGeneration PotentialOnshoreWindGeneration Jump to: navigation, search Property Name PotentialOnshoreWindGeneration Property Type Quantity Description The area of potential onshore wind in a place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialOnshoreWindGeneration" Showing 25 pages using this property. (previous 25) (next 25)

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Property:PotentialRooftopPVGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialRooftopPVGeneration PotentialRooftopPVGeneration Jump to: navigation, search Property Name PotentialRooftopPVGeneration Property Type Quantity Description The estimated potential energy generation from Rooftop PV for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialRooftopPVGeneration" Showing 25 pages using this property. (previous 25) (next 25)

22

Property:PotentialOffshoreWindGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialOffshoreWindGeneration PotentialOffshoreWindGeneration Jump to: navigation, search Property Name PotentialOffshoreWindGeneration Property Type Quantity Description The estimated potential energy generation from Offshore Wind for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialOffshoreWindGeneration" Showing 25 pages using this property. (previous 25) (next 25)

23

Property:PotentialBiopowerGaseousGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerGaseousGeneration PotentialBiopowerGaseousGeneration Jump to: navigation, search Property Name PotentialBiopowerGaseousGeneration Property Type Quantity Description The estimated potential energy generation from gaseous biopower for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialBiopowerGaseousGeneration" Showing 25 pages using this property. (previous 25) (next 25)

24

Property:PotentialCSPGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialCSPGeneration PotentialCSPGeneration Jump to: navigation, search Property Name PotentialCSPGeneration Property Type Quantity Description The estimated potential energy generation from CSP for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialCSPGeneration" Showing 25 pages using this property. (previous 25) (next 25)

25

Property:PotentialBiopowerSolidGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerSolidGeneration PotentialBiopowerSolidGeneration Jump to: navigation, search Property Name PotentialBiopowerSolidGeneration Property Type Quantity Description The estimated potential energy generation from solid biopower for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialBiopowerSolidGeneration" Showing 25 pages using this property. (previous 25) (next 25)

26

Property:PotentialHydropowerGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialHydropowerGeneration PotentialHydropowerGeneration Jump to: navigation, search Property Name PotentialHydropowerGeneration Property Type Quantity Description The estimated potential energy generation from Hydropower for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialHydropowerGeneration" Showing 25 pages using this property. (previous 25) (next 25)

27

Property:PotentialGeothermalHydrothermalGeneration | Open Energy  

Open Energy Info (EERE)

PotentialGeothermalHydrothermalGeneration PotentialGeothermalHydrothermalGeneration Jump to: navigation, search Property Name PotentialGeothermalHydrothermalGeneration Property Type Quantity Description The estimated potential energy generation from Geothermal Hydrothermal for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialGeothermalHydrothermalGeneration"

28

Property:PotentialRuralUtilityScalePVGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialRuralUtilityScalePVGeneration PotentialRuralUtilityScalePVGeneration Jump to: navigation, search Property Name PotentialRuralUtilityScalePVGeneration Property Type Quantity Description The estimated potential energy generation from utility-scale PV in rural areas of a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialRuralUtilityScalePVGeneration"

29

Property:PotentialUrbanUtilityScalePVGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialUrbanUtilityScalePVGeneration PotentialUrbanUtilityScalePVGeneration Jump to: navigation, search Property Name PotentialUrbanUtilityScalePVGeneration Property Type Quantity Description The estimated potential energy generation from utility-scale PV in urban areas of a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialUrbanUtilityScalePVGeneration"

30

Property:PotentialEGSGeothermalGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialEGSGeothermalGeneration PotentialEGSGeothermalGeneration Jump to: navigation, search Property Name PotentialEGSGeothermalGeneration Property Type Quantity Description The estimated potential energy generation from EGS Geothermal for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialEGSGeothermalGeneration" Showing 25 pages using this property. (previous 25) (next 25)

31

NERSC Edison Hours Used Report  

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

Edison Hours Used Edison Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hoursday) 10142013 1.852 61.8 10132013...

32

OpenEI - hourly data  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4980 en Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and diffuse) data for selected stations in Sri Lanka from...

33

Transitioning to 12-hour shifts  

Science Conference Proceedings (OSTI)

In 1989, Yankee Rowe nuclear power station successfully implemented a 12-hour shift schedule for all shiftworkers (control room personnel, auxiliary operators, and radiation protection shift technicians) with many positive effects on morale, motivation, and performance. The transition from an 8-hour to a 12-hour shift schedule was initiated, organized, and promoted by the shiftworkers themselves after they had identified numerous inadequacies in the 8-hour shift schedule. Preliminary and final implementation required several steps: (a) a survey of needs, (b) research of potential schedules, (c) cost/benefit analysis, (d) resolution of any union contract conflicts, (e) management approval, and (f) trial shift schedule periods.

Suter, P.S.; Cervassi, S.M.

1993-03-01T23:59:59.000Z

34

www.eia.gov  

U.S. Energy Information Administration (EIA)

1,000,000 (One Million) Kilowatts Thousand Gigawatts 1,000,000,000 (One Billion) Kilowatts Kilowatthours (kWh) 1,000 (One Thousand) Watthours Megawatthours (MWh)

35

EIA - Electricity Data  

U.S. Energy Information Administration (EIA)

1,000,000 (One Million) Kilowatts: Thousand Gigawatts: 1,000,000,000 (One Billion) Kilowatts : Kilowatthours (kWh) 1,000 (One Thousand) Watthours: Megawatthours (MWh)

36

NERSC Franklin Hours Used Report  

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

Franklin Hours Used Franklin Hours Used Franklin Hours Used 2011 Franklin Usage in Hours 2011 Franklin Usage in Hours 2010 2010 Franklin Usage in Hours 2009 2009 Franklin Usage in Hours 2007-2008 2008 Franklin Usage in Hours 2008 Franklin Usage in Hours Date Hours Used (in thousands) Percentage of Maximum Possible (24 hours/day) 04/28/2012 0.00 0.00 04/27/2012 272.62 29.40 04/26/2012 692.81 74.71 04/25/2012 841.60 90.75 04/24/2012 53.86 5.81 04/23/2012 432.01 46.59 04/22/2012 823.23 88.77 04/21/2012 473.95 51.11 04/20/2012 173.75 18.74 04/19/2012 449.22 48.44 04/18/2012 816.23 88.02 04/17/2012 754.35 81.34 04/16/2012 648.89 69.97 04/15/2012 812.25 87.59 04/14/2012 843.46 90.95 04/13/2012 737.46 79.52 04/12/2012 711.97 76.77 04/11/2012 734.65 79.22 04/10/2012 815.65 87.95 04/09/2012 897.25 96.75

37

Progress in Developing a New 5 Kilowatt Free-Piston Stirling Space Convertor  

SciTech Connect

The NASA Vision for Exploration of the Moon envisions a nuclear reactor coupled with a free-piston Stirling convertor at a power level of 30-40 kWe. In the 1990s, Mechanical Technology, Inc.'s Stirling Engine Systems Division (now a part of Foster-Miller, Inc.) developed a 25 kWe free piston Stirling Space Power Demonstrator Engine under the SP-100 program. This system consisted of two 12.5 kWe engines connected at their hot ends and mounted in tandem to cancel vibration. Recently, NASA and DoE have been developing dual 55 We and 80 We Stirling convertor systems for use with radioisotope heat sources. Total test times of all convertors in this effort exceed 120,000 hours. Recently, NASA began a new project with Auburn University to develop a 5 kWe, single convertor for use in the Lunar power system. Goals of this development program include a specific power in excess of 140 We/kg at the convertor level, lifetime in excess of five years and a control system that will safely manage the convertors in case of an emergency. Auburn University awarded a subcontract to Foster-Miller, Inc. to undertake development of the 5 kWe Stirling Convertor Assembly. The characteristics of the design along with progress in developing the system will be described.

Brandhorst, Henry W. Jr.; Kirby, Raymond L. [Space Research Institute, 231 Leach Center, Auburn University, Auburn University, AL, 36849-5320 (United States); Chapman, Peter A. [Foster-Miller, Inc., 431 New Karner Rd., Albany, NY, USA 12205 (United States)

2008-01-21T23:59:59.000Z

38

Development of Kilowatt-Scale Coal Fuel Cell Technology - DOE Hydrogen and Fuel Cells Program FY 2012 Annual Progress Report  

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

5 5 FY 2012 Annual Progress Report DOE Hydrogen and Fuel Cells Program Steven S.C. Chuang (Primary Contact), Tritti Siengchum, Jelvehnaz Mirzababaei, Azadeh Rismanchian, and Seyed Ali Modjtahedi The University of Akron 302 Buchtel Common Akron, OH 44310-3906 Phone: (330) 972-6993 Email: schuang@uakron.edu DOE Managers HQ: Dimitrios Papageorgopoulos Phone: (202) 586-5463 Email: Dimitrios.Papageorgopoulos@ee.doe.gov GO: Reg Tyler Phone: (720) 356-1805 Email: Reginald.Tyler@go.doe.gov Contract Number: DE-FC36-08GO0881114 Project Start Date: June 1, 2008 Project End Date: May 31, 2012 *Congressionally directed project Fiscal Year (FY) 2012 Objectives To develop a kilowatt-scale coal-based solid oxide fuel cell (SOFC) technology. The outcome of this research effort

39

Teach Yourself in 24 Hours  

E-Print Network (OSTI)

"ations .................................................. 302 Reclaiming Memory with the kill Command .................................. 303 Getting System Load in a retrieval system, or transmitted by any means, electronic, mechanical, photo- copying, recording 1 Hour 1 Preparing to Install Linux 3 2 Installing Linux 11 3 Configuring the X Window System 31

Eckmiller, Rolf

40

NERSC Carver Hours Used Report  

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

Carver Hours Carver Hours Used Carver Hours Used Hopper Usage Chart Hopper Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 01/05/2014 170.00 89.35 01/04/2014 174.38 91.65 01/03/2014 174.15 91.53 01/02/2014 179.72 94.45 01/01/2014 173.76 91.32 12/31/2013 172.25 90.53 12/30/2013 169.62 89.14 12/29/2013 164.72 86.57 12/28/2013 177.92 93.51 12/27/2013 171.61 90.19 12/26/2013 172.74 90.79 12/25/2013 172.13 90.46 12/24/2013 173.48 91.18 12/23/2013 174.92 91.93 12/22/2013 175.26 92.11 12/21/2013 173.58 91.23 12/20/2013 174.50 91.71 12/19/2013 170.02 89.36 12/18/2013 178.25 93.68 12/17/2013 176.17 92.59 12/16/2013 162.03 85.16 12/15/2013 157.09 82.56 12/14/2013 173.40 91.13 12/13/2013 185.02 97.24 12/12/2013 150.91 79.31 12/11/2013 31.67 16.64 12/10/2013 92.44 48.58

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

hourly data | OpenEI  

Open Energy Info (EERE)

data data Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. Source U.S. National Renewable Energy Laboratory (NREL) Date Released May 03rd, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DNI GHI hourly data NREL solar Sri Lanka SWERA TILT TMY UNEP Data application/zip icon Download TMY data (zip, 67.5 MiB)

42

Predicting hourly building energy usage  

SciTech Connect

This article presents the results of an evaluation to identify the most accurate method for making hourly energy use predictions. The prediction of energy usage by HVAC systems is important for the purposes of HVAC diagnostics, system control, parameter and system identification, optimization and energy management. Many new techniques are now being applied to the analysis problems involved with predicting the future behavior of HVAC systems and deducing properties of these systems. Similar problems arise in most observational disciplines, including physics, biology and economics.

Kreider, J.F. (Univ. of Colorado, Boulder, CO (United States). Dept. of Civil, Environmental and Architectural Engineering); Haberl, J.S. (Texas A and M Univ., College Station, TX (United States). Mechanical Engineering Dept.)

1994-06-01T23:59:59.000Z

43

Estimation of Daily Degree-hours  

Science Conference Proceedings (OSTI)

Degree-hours have many applications in fields such as agriculture, architecture, and power generation. Since daily mean temperatures are more readily available than hourly temperatures, the difference between mean daily degree-hours computed from ...

Nathaniel B. Guttman; Richard L. Lehman

1992-07-01T23:59:59.000Z

44

The Autocorrelation of Hourly Wind Speed Observations  

Science Conference Proceedings (OSTI)

The autocorrelation of hourly wind speed observations is estimated for seven stations on the west coast of Canada at selected lags ranging from one hour to two months. The estimated autocorrelation function is fitted by a model that includes a ...

Arthur C. Brett; Stanton E. Tuller

1991-06-01T23:59:59.000Z

45

Virtualizing office hours in CS 50  

Science Conference Proceedings (OSTI)

In Fall 2007, we introduced "virtual office hours" into Harvard College's introductory computer science course, CS 50, so that students could meet with teaching fellows (TFs) online to discuss problem sets at any hour from anywhere. Our goals were to ... Keywords: CSCW, collaboration, distance education, virtual office hours

David J. Malan

2009-07-01T23:59:59.000Z

46

OpenEI - hourly emission factors  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4640 en Hourly Energy Emission Factors for Electricity Generation in the United States http:en.openei.orgdatasetsnode488...

47

Bradbury Science Museum announces winter opening hours  

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

Bradbury Science Museum winter hours Bradbury Science Museum winter hours Bradbury Science Museum announces winter opening hours Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). December 21, 2010 Bradbury Science Museum Bradbury Science Museum Contact Communications Office (505) 667-7000 Often called "a window to the Laboratory," the museum annually attracts thousands of visitors from all over the world. LOS ALAMOS, New Mexico, December 21, 2010-Los Alamos National Laboratory's Bradbury Science Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). On all other days, the museum will observe regular opening hours: from 10 a.m. to 5 p.m. Tuesdays to Saturdays, and from 1 to 5 p.m. Sundays and Mondays. Often called "a window to the Laboratory," the museum annually attracts

48

SAS Output  

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

5. Unit of Measure Equivalents 5. Unit of Measure Equivalents Unit Equivalent Kilowatt (kW) 1,000 (One Thousand) Watts Megawatt (MW) 1,000,000 (One Million) Watts Gigawatt (GW) 1,000,000,000 (One Billion) Watts Terawatt (TW) 1,000,000,000,000 (One Trillion) Watts Gigawatt 1,000,000 (One Million) Kilowatts Thousand Gigawatts 1,000,000,000 (One Billion) Kilowatts Kilowatthours (kWh) 1,000 (One Thousand) Watthours Megawatthours (MWh) 1,000,000 (One Million) Watthours Gigawatthours (GWh) 1,000,000,000 (One Billion) Watthours Terawatthours (TWh) 1,000,000,000,000 (One Trillion) Watthours Gigawatthours 1,000,000 (One Million) Kilowatthours Thousand Gigawatthours 1,000,000,000(One Billion Kilowatthours U.S. Dollar 1,000 (One Thousand) Mills U.S. Cent 10 (Ten) Mills Barrel of Oil 42 Gallons

49

hourly solar radiation | OpenEI  

Open Energy Info (EERE)

solar radiation solar radiation Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for Source Renewable Energy Research Centre Date Released October 22nd, 2003 (11 years ago) Date Updated Unknown Keywords Bangladesh documentation hourly solar radiation SWERA

50

Life of a Six-Hour Hurricane  

Science Conference Proceedings (OSTI)

Hurricane Claudette developed from a weak vortex in 6 h as deep convection shifted from downshear into the vortex center, despite ambient vertical wind shear exceeding 10 m s?1. Six hours later it weakened to a tropical storm, and 12 h after the ...

Kay L. Shelton; John Molinari

2009-01-01T23:59:59.000Z

51

NERSC Edison Phase I Hours Used Report  

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

Edison Phase I Hours Used Edison Phase I Hours Used Edison Phase I Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 06/23/2013 0.226 88.6 06/22/2013 0.239 93.9 06/21/2013 0.248 97.1 06/20/2013 0.240 94.0 06/19/2013 0.233 91.3 06/18/2013 0.245 96.0 06/17/2013 0.251 98.4 06/16/2013 0.243 95.3 06/15/2013 0.245 95.9 06/14/2013 0.246 96.5 06/13/2013 0.240 94.1 06/12/2013 0.128 50.4 06/11/2013 0.215 84.5 06/10/2013 0.225 88.4 06/09/2013 0.228 89.6 06/08/2013 0.225 88.3 06/07/2013 0.121 47.5 06/06/2013 0.223 87.4 06/05/2013 0.250 98.0 06/04/2013 0.234 91.6 06/03/2013 0.218 85.5 06/02/2013 0.246 96.4 06/01/2013 0.230 90.0 05/31/2013 0.215 84.5 05/30/2013 0.212 83.1 05/29/2013 0.223 87.3 05/28/2013 0.237 93.0 05/27/2013 0.226 88.5 05/26/2013 0.229 89.9

52

Testimony of  

Science Conference Proceedings (OSTI)

... that are needed for these charging systems to feed power back into ... The grid includes some 22,000 substations and 130 million watt-hour meters. ...

2012-11-02T23:59:59.000Z

53

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production  

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

Hour-by-Hour Cost Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Genevieve Saur (PI), Chris Ainscough (Presenter), Kevin Harrison, Todd Ramsden National Renewable Energy Laboratory January 17 th , 2013 This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Acknowledgements * This work was made possible by support from the U.S. Department of Energy's Fuel Cell Technologies Office within the Office of Energy Efficiency and Renewable Energy (EERE). http://www.eere.energy.gov/topics/hydrogen_fuel_cells.html * NREL would like to thank our DOE Technology Development Managers for this project, Sara Dillich, Eric Miller, Erika Sutherland, and David Peterson. * NREL would also like to acknowledge the indirect

55

Louisville Kilowatt Crackdown | ENERGY STAR  

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

Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify...

56

Beyond Kilowatts: Utility Business Innovation  

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

Sharing Smart Grid Experiences Through Performance Feedback Joe Miller, Smart Grid Implementation Strategy Team September 15, 2011 Prepared by: National Energy Technology...

57

DOE Awards Over a Billion Supercomputing Hours to Address Scientific...  

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

Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am...

58

DOE's Office of Science Awards 95 Million Hours of Supercomputing...  

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

95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance...

59

hourly emission factors | OpenEI  

Open Energy Info (EERE)

60 60 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278660 Varnish cache server hourly emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago)

60

BNL | Center for Functional Nanomaterials Hours of Operation  

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

CFN Hours of Operation CFN Hours of Operation Normal working hours at the CFN are 8 a.m. to 6 p.m. Working Outside of Normal Hours CFN scientific and technical personnel, as well as external users, may need to work outside of normal operating hours, during which time support is limited and many colleagues may not be around. Therefore, working outside the 8 a.m. to 6 p.m. envelope on weekdays, or anytime on weekends and holidays, requires special precautions, especially if working in a laboratory. CFN users are expected to work at the CFN during normal working hours. Users with extensive experience working at the CFN may be granted permission by the appropriate facility leader and ES&H Coordinator to work after hours. Users first must complete the Request to Work After-Hours at

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Results of the 1000 Hour Rotary Microfilter Endurance Test  

Stellite on Nitronic 60. 8 SRNL-L3100-2010-00229 Rotary Microfilter 1000 Hour Test Flux Data for 1000 Hour Test 0 1 2 3 4 5 6 0 100 200 300 400 500 ...

62

Hospital Triage in First Hours After Nuclear or Radiological...  

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

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Medical professionals with the Radiation Emergency Assistance CenterTraining Site (REACTS) at the...

63

Delayed Start or Cancellation of Business Hours | Argonne National...  

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

Twitter Delayed Start or Cancellation of Business Hours Winter Road Closings Winter Weather FAQs Westgate Alternate Routes Reporting IllegalUnethical Activity Working Remotely...

64

Does EIA publish data on peak or hourly electricity ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial ... load (or demand) data in our Electric Power Annual ... hourly load/demand profiles for some Independent ...

65

Impact of Wind Energy on Hourly Load Following Requirements: An Hourly and Seasonal Analysis; Preprint  

Science Conference Proceedings (OSTI)

The impacts of wind energy on the power system grid can be decomposed into several time scales that include regulation, load following, and unit commitment. Techniques for evaluating the impacts on these time scales are still evolving, and as wind energy becomes a larger part of the electricity supply, valuable experience will be gained that will help refine these methods. Studies that estimated the impact of wind in the load following time scale found differing results and costs, ranging from near zero to approximately $2.50/megawatt-hour (MWh). Part of the reason for these differences is the different interpretation of the impacts that would be allocated to this ancillary service. Because of the low correlation between changes in load and wind, long-term analyses of the load following impact of wind may find low impacts. During the daily load cycle, there is a tremendous variability in load following requirements in systems without wind. When significant levels of wind generation are added to the resource mix, relatively small changes in wind output can complicate the task of balancing the system during periods of large load swings. This paper analyzes the load following impacts of wind by segregating these critical time periods of the day and separating the analysis by season. The analysis compares wind generation at geographically dispersed sites to wind generation based primarily at a single site, and for a large penetration of wind (more than 20% wind capacity to peak load).

Krich, A.; Milligan, M.

2005-05-01T23:59:59.000Z

66

Report of 1,000 Hour Catalyst Longevity Evaluation  

DOE Green Energy (OSTI)

This report presents the results of a 1,000 hour, high-pressure, catalyst longevity test for the decomposition of concentrated sulfuric acid. The reaction is used for both the sulfur-iodine (S-I) cycle and hybrid sulfur cycle. By the time of the delivery date of April 17, 2009, for project milestone no. 2NIN07TC050114, the 1% Pt/TiO2 catalyst had been in the reaction environment for 658 hours. During the first 480 hours of testing, the catalyst activity provided stable, near-equilibrium yields of 46.8% SO2 and 22.8% O2. However, product yields declined at sample exposure times >480 hours. At 658 hours of operation, catalyst activity (based on oxygen yield) declined to 57% relative to the stable period of catalyst activity. Thus, as of April 17, this catalyst did not provide the desired stability level of <10% degradation per 1,000 hours. The experiment was terminated on April 27, after 792 hours, when a fitting failed and the catalyst was displaced from the reactor such that the sample could not be recovered. Oxygen conversion at the end of the experiment was 12.5% and declining, suggesting that at that point, catalyst activity had decreased to 54% of the initial level.

Daniel M. Ginosar

2009-06-01T23:59:59.000Z

67

Development of an Hourly Optimization Tool for Renewable Energy Systems  

SciTech Connect

An hourly optimization tool is developed to select and size renewable energy (RE) systems to meet the energy needs for various federal facilities. The optimization is based on life cost analysis of various RE technologies including wind and PV systems. The developed hourly optimization tool is used to evaluate the cost-effectiveness of RE technologies using complex energy and demand charges such time-of-use (TOU) rates. The paper compares results obtained using hourly analysis instead of annual based calculations to optimize the sizing of RE systems for residential, commercial, and industrial facilities in three representative US climates.

Lee, C.; Walker, A.; Krarti, M.

2010-01-01T23:59:59.000Z

68

A Quality Assurance System for Canadian Hourly Pressure Data  

Science Conference Proceedings (OSTI)

In this study a comprehensive quality assurance (QA) system, which includes the hydrostatic check combined with a statistical homogeneity test, is designed and applied to hourly pressure records (for 19532002) from 761 Canadian stations, to ...

Hui Wan; Xiaolan L. Wang; Val R. Swail

2007-11-01T23:59:59.000Z

69

Complex Quality Assurance of Historical Hourly Surface Airways Meteorological Data  

Science Conference Proceedings (OSTI)

A new complex quality assurance (QA) procedure is developed for historical hourly surface airways meteorological data, recently digitized in a U.S. governmentsponsored effort that extends the digital period of record back as early as the late ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-08-01T23:59:59.000Z

70

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

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

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

71

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

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

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

72

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

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

Over a Billion Supercomputing Hours to Address Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life sciences, and materials science.

73

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

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

DOE Awards Over a Billion Supercomputing Hours to Address DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life

74

Global Solar Radiation Estimation from Relative Sunshine Hours in Italy  

Science Conference Proceedings (OSTI)

We examine the existing measurements of global solar radiation and sunshine duration for Italy, and evaluate the errors made in estimating global solar radiation from sunshine hours measurements. We find that the ngstromBlack linear relation in ...

A. Andretta; B. Bartoli; B. Coluzzi; V. Cuomo; M. Francesca; C. Serio

1982-10-01T23:59:59.000Z

75

Airport quotas and peak hour pricing : theory and practice  

E-Print Network (OSTI)

This report examines the leading theoretical studies not only of airport peak-hour pricing but also of the congestion costs associated with airport delays and presents a consistent formulation of both. The report also ...

Odoni, Amedeo R.

1976-01-01T23:59:59.000Z

76

An Hourly AssimilationForecast Cycle: The RUC  

Science Conference Proceedings (OSTI)

The Rapid Update Cycle (RUC), an operational regional analysisforecast system among the suite of models at the National Centers for Environmental Prediction (NCEP), is distinctive in two primary aspects: its hourly assimilation cycle and its use ...

Stanley G. Benjamin; Dezs Dvnyi; Stephen S. Weygandt; Kevin J. Brundage; John M. Brown; Georg A. Grell; Dongsoo Kim; Barry E. Schwartz; Tatiana G. Smirnova; Tracy Lorraine Smith; Geoffrey S. Manikin

2004-02-01T23:59:59.000Z

77

Hourly Energy Emission Factors for Electricity Generation in...  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United States

Emissions from energy use in buildings are usually estimated on an annual...

78

Form EIA-930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT  

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

930 930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT INSTRUCTIONS Due Date: mm/dd/yyyy Approved: OMB No. 1905-0129 Approval Expires: 10/31/2016 Burden: 0.19 hours Page 1 Draft for Discussion only PURPOSE Form EIA-930 requires Internet posting of hourly balancing authority operating data. The posted data are used to monitor the current status and trends of the electric power industry, and to support enhancement of electric system operations. REQUIRED RESPONDENTS For the contiguous United States: all entities that are listed in NERC's Compliance Registry as a balancing authority must post balancing authority operating information required by this survey. Other than the Midwest ISO (MISO), registered balancing authorities that are parties

79

Hourly Energy Emission Factors for Electricity Generation in the United  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United Hourly Energy Emission Factors for Electricity Generation in the United States Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the eGRID subregions in the continental United States. These factors took into account electricity imports and exports

80

INCITE Program Doles Out Hours on Supercomputers | Department of Energy  

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

INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers November 5, 2012 - 1:30pm Addthis Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Renewable Energies program (6 credit hour) Option A: 11  

E-Print Network (OSTI)

Renewable Energies program (6 credit hour) Option A: 11 Option B: The program is organized by t Spanish Institute and the Asso program on renewable energy will provide students with advanced knowledge. opportunities: option A- two renewable energies; option B include on-site visits to renewable energy generation

Simaan, Nabil

82

A Quality-Control Routine for Hourly Wind Observations  

Science Conference Proceedings (OSTI)

The quality of hourly wind speed and direction observations from 41 northeastern U.S. first-order weather stations is evaluated with regard to the recognition of individual observations that are either obviously in error or of suspect quality. An ...

Arthur T. DeGaetano

1997-04-01T23:59:59.000Z

83

Amp-hour counting control for PV hybrid power systems  

SciTech Connect

The performance of an amp-hour (Ah) counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based PV hybrid charge controller. This work included extensive field testing of the charge algorithm on flooded lead-antimony and valve regulated lead-acid (VRLA) batteries. The test results after one-year have demonstrated that PV charge utilization, battery charge control, and battery state of charge (SOC) has been significantly improved by providing maximum charge to the batteries while limiting battery overcharge to manufacturers specifications during variable solar resource and load periods.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-06-01T23:59:59.000Z

84

Cash for Coolers  

E-Print Network (OSTI)

electricity consumption is calculated over the previous year.electricity consumption by 79 kilowatt hours per year. Atelectricity consumption is 1,836 kilowatt hour per year and

Davis, Lucas W.; Fuchs, Alan; Gertler, Paul J.

2012-01-01T23:59:59.000Z

85

Energy Basics: Photovoltaic System Performance  

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

regulator, specified either as peak power or average power produced during one day. Energy output The energy (watt-hour or Wh) output. This indicates the amount of energy...

86

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

87

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

88

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Bangladesh stations from NREL Bangladesh stations from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

89

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

90

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

91

Folding Proteins at 500 ns/hour with Work Queue  

E-Print Network (OSTI)

AbstractMolecular modeling is a field that traditionally has large computational costs. Until recently, most simulation techniques relied on long trajectories, which inherently have poor scalability. A new class of methods is proposed that requires only a large number of short calculations, and for which minimal communication between computer nodes is required. We considered one of the more accurate variants called Accelerated Weighted Ensemble Dynamics (AWE) and for which distributed computing can be made efficient. We implemented AWE using the Work Queue framework for task management and applied it to an all atom protein model (Fip35 WW domain). We can run with excellent scalability by simultaneously utilizing heterogeneous resources from multiple computing platforms such as clouds (Amazon EC2, Microsoft Azure), dedicated clusters, grids, on multiple architectures (CPU/GPU, 32/64bit), and in a dynamic environment in which processes are regularly added or removed from the pool. This has allowed us to achieve an aggregate sampling rate of over 500 ns/hour. As a comparison, a single process typically achieves 0.1 ns/hour. I.

Badi Abdul-wahid; Li Yu; Dinesh Rajan

2012-01-01T23:59:59.000Z

92

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

93

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

94

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

El Salvador sites from SUNY El Salvador sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

95

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

96

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Honduras from SUNY Honduras from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

97

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

98

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nicaragua from SUNY Nicaragua from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

99

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Central America from NREL Central America from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

100

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Guatemala from SUNY Guatemala from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

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


101

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba sites from SUNY Cuba sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

102

What do hourly performance data on a building tell us  

DOE Green Energy (OSTI)

Hourly performance data on a building contain valuable information on the dynamics of the building and of the HVAC systems. Quantities such as the building loss coefficient, solar gains, and the net effect of thermal masses and their couplings are all contained in the data. The building element vector analysis (BEVA) method has been applied to a multizone residential passive solar building monitored under the SERI Class B program. Using short-term data (approximately one week), the building parameters were regressed. With these as inputs, the subsequent performance of the building was well predicted. Using performance data for the period February 3-9, 1982, the building vectors were obtained by regression. The resulting best fit for the zone temperature is given. These parameters were used to predict the temperature for the period February 10-14. The resulting values are also plotted along with the outdoor temperature, solar radiation on a south vertical surface, and auxiliary energy for these periods.

Subbarao, K.

1984-11-01T23:59:59.000Z

103

Estimating Hourly All-Sky Solar Irradiation Components from Meteorological Data  

Science Conference Proceedings (OSTI)

A new method to calculate hourly direct beam and diffuse irradiation on a horizontal surface using 3-h standard meteorological data is described. Comparisons of computed and observed irradiations are made with hourly data obtained in Carpentras ...

F. Kermel

1988-02-01T23:59:59.000Z

104

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate...  

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

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008...

105

Seasonal Variations in the Diurnal Characteristics of Heavy Hourly precipitation across the United States  

Science Conference Proceedings (OSTI)

Hourly precipitation data from 1967 to 1983 for the coterminous, United States were harmonically analyzed in order to document the diurnal variability of several categories of heavy hourly precipitation during winter, spring, summer, and autumn. ...

Julie A. Winkler; Brent R. Skeeter; Paul D. Yamamoto

1988-08-01T23:59:59.000Z

106

2005 Malcolm Baldrige National Quality Award Application ...  

Science Conference Proceedings (OSTI)

... JCAHO: Joint Commission on Accreditation for Healthcare Organizations KWH: kilowatt hour LCD: liquid crystal display ...

2006-03-30T23:59:59.000Z

107

Question of the Week: How Are You Observing Earth Hour? | Department of  

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

Are You Observing Earth Hour? Are You Observing Earth Hour? Question of the Week: How Are You Observing Earth Hour? March 26, 2009 - 12:16pm Addthis This Saturday, March 28th, people around the world will observe Earth Hour at 8:30 p.m. local time-whatever the local time zone happens to be-by switching off their lights for one hour. While many people are taking part by simply shutting off their lights and lighting some candles, some communities are hosting gatherings or events around Earth Hour. How are you observing Earth Hour? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please e-mail your responses to the Energy Saver team at consumer.webmaster@nrel.gov. Addthis Related Articles Question of the Week: How Will You Save Energy this Spring?

108

Country Review of Energy-Efficiency Financial Incentives in the Residential Sector  

E-Print Network (OSTI)

incentive GHG greenhouse gas HVAC heating, ventilation, and air conditioning kW kilowatt kWh kilowatt hour PACE property-assessed clean energy

Can, Stephane de la Rue du

2011-01-01T23:59:59.000Z

109

NIST Tech Beat - September 26, 2003  

Science Conference Proceedings (OSTI)

... Residential fuel cell systems can produce about five kilowatts of power or 120 kilowatt-hours of energy a daymore than enough to operate the ...

110

CX-005714: Categorical Exclusion Determination | Department of...  

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

the roofs of the Department of Public Works Administration Building (approximately 85 kilowatts) and the Vehicle Storage Building (approximately 25 kilowatt hours). DOCUMENT(S)...

111

NREL: Jobs and Economic Development Impact (JEDI) Models - Methodology  

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

a similar nameplate capacity (e.g., based on kilowatt-hours generated, rather than kilowatts installed). In either case, capacity factor and energy production should be...

112

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

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

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

113

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

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

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

114

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

facilities that receive electricity service from Niagaraperiods is your facilitys electricity use highest? ( CHECKthe next days hourly electricity prices? ( CHECK ONLY ONE )

2005-01-01T23:59:59.000Z

115

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

next days hourly electricity prices? ( CHECK ONLY ONE ) 1.to Real Time Electricity Prices, Unpublished Manuscript atahead Wholesale Market Electricity Prices: Case Study of RTP

2005-01-01T23:59:59.000Z

116

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size: Preprint  

DOE Green Energy (OSTI)

In this paper, we analyze sub-hourly ramping requirements and the benefit of combining Balancing Authority operations with significant wind penetrations.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

117

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

nature of electric service and usage, defining the hoursElectric. 12 The resulting evaluation report estimated elasticities and found measurable reductions in energy usage

2005-01-01T23:59:59.000Z

118

Intra-hour Direct Normal Irradiance solar forecasting using genetic programming  

E-Print Network (OSTI)

UNIVERSITY OF CALIFORNIA, SAN DIEGO Intra-hour Direct NormalChair University of California, San Diego iii TABLE OFRPS, Technical report, California Independent System

Queener, Benjamin Daniel

2012-01-01T23:59:59.000Z

119

FRN 2025 PMI proposal.pdf  

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

qualified allottees are shown in the table below and are subject to the minimum (100 kilowatts) and maximum allocation (5,000 kilowatts) criteria. The Winter kilowatt hours in the...

120

Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power Plants  

E-Print Network (OSTI)

1 Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power to quantify variability and uncertainty for NOx emissions from coal-fired power plants. Data for hourly NOx Uncertainty, Variability, Emission Factors, Coal-Fired Power Plants, NOx emissions, Regression Models

Frey, H. Christopher

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Multi-hour network planning based on domination between sets of traffic matrices  

Science Conference Proceedings (OSTI)

In multi-hour network design, periodic traffic variations along time are considered in the dimensioning process. Then, the non coincidence of traffic peaks along the day or the week can be exploited. This paper investigates the application of the traffic ... Keywords: Multi-hour traffic, Network planning, Traffic domination

P. Pavon-Marino; B. Garcia-Manrubia; R. Aparicio-Pardo

2011-02-01T23:59:59.000Z

122

Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices  

E-Print Network (OSTI)

1 Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices Sumit Mitra Ignacio;2 Motivation of this work · Deregulation of the electricity markets caused electricity prices to be highly? (retrofit) · Challenge: Multi-scale nature of the problem! Hourly varying electricity prices vs. 10-15 years

Grossmann, Ignacio E.

123

Cloudy Sky Version of Bird's Broadband Hourly Clear Sky Model (Presentation)  

DOE Green Energy (OSTI)

Presentation on Bird's Broadband Hourly Clear Sky Model given by NREL's Daryl Myers at SOLAR 2006. The objective of this report is to produce ''all sky'' modeled hourly solar radiation. This is based on observed cloud cover data using a SIMPLE model.

Myers, D.

2006-08-01T23:59:59.000Z

124

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor | Department of Energy  

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

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Docket No. EO-05-01: Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor, March 2002 to November 2004, showing the model overprediction Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor More Documents & Publications Comments on Department of Energy's Emergency Order To Resume Limited Operation at Mirant's Potomac River Generating Station and Proposed Mirant Compliance Plan Answer of Potomac Electric Power Company and PJM lnterconnection, L.L.C. to the October 6, 2005 motion filed by the Virginia Department of Environmental Quality Special Environmental Analysis For Actions Taken under U.S. Department of Energy Emergency Orders Regarding Operation of the Potomac River Generating

125

Derivation of 24-Hour Average SO2, Background for the Update 1 Report |  

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

Derivation of 24-Hour Average SO2, Background for the Update 1 Derivation of 24-Hour Average SO2, Background for the Update 1 Report Derivation of 24-Hour Average SO2, Background for the Update 1 Report Docket No. EO-05-01. As supporting documentation for "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Unit 1 Emissions in a Cycling Mode" this memo documents the fact that the observed 24-hour SO2 background concentrations during periods when meteorological conditions produce the highest impacts from Unit 1. Derivation of 24-Hour Average SO2, Background for the Update 1 Report More Documents & Publications Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant"

126

84Unit Conversions Energy, Power, Flux Energy is measured in a number of ways depending on what property is being  

E-Print Network (OSTI)

, and are operating for 8 hours during the day? Space Math http://spacemath.gsfc.nasa.gov #12;Answer Key 84 Problem 1 for electricity is the watt-hour (Wh), which can be written as 1 watt x 1 hour. How many megajoules equal 1

127

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)","(%)"

128

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours  

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

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Community Connections: Our link to Northern New Mexico Communities Latest Issue:Dec. 2013 - Jan. 2014 All Issues » submit Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Lab employees and retirees should log their VolunteerMatch hours to benefit local nonprofits. March 1, 2013 Volunteers help fill sandbags during flood season Volunteers help in many different roles including in healthcare. Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email So far, employees and retirees have volunteered more than 1.2 million volunteer hours. If you are a nonprofit organization that has Lab employees or retirees as

129

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Nepal. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Nepal NREL solar SWERA TILT UNEP Data application/zip icon Download data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

130

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

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

DOE Awards 265 Million Hours of Supercomputing Time to Advance DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

131

Spatial and Temporal Characteristics of Heavy Hourly Rainfall in the United States  

Science Conference Proceedings (OSTI)

The climatology of heavy rain events from hourly precipitation observations by Brooks and Stensrud is revisited in this study using two high-resolution precipitation datasets that incorporate both gauge observations and radar estimates. Analyses ...

Nathan M. Hitchens; Harold E. Brooks; Russ S. Schumacher

2013-12-01T23:59:59.000Z

132

DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to  

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

Office of Science Awards 18 Million Hours of Supercomputing Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing February 1, 2006 - 11:14am Addthis WASHINGTON, D.C. - Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science has awarded a total of 18.2 million hours of computing time on some of the world's most powerful supercomputers to help researchers in government labs, universities, and industry working on projects ranging from designing more efficient engines to better understanding Parkinson's disease. The allocations of computing time are made under DOE's Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program, now in its

133

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Sri Lanka sites from DLR Sri Lanka sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Sri Lanka. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar Sri Lanka SWERA TILT UNEP Data application/zip icon Download data (zip, 368.2 KiB) Quality Metrics Level of Review Some Review Comment

134

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ghana. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI Ghana GHI hourly data solar SWERA TILT TMY UNEP Data application/zip icon ghanaDLRtimeseries_103.zip (zip, 2.7 MiB) Quality Metrics Level of Review Some Review Comment

135

Commercial and Residential Hourly Load Profiles for all TMY3 Locations in  

Open Energy Info (EERE)

and Residential Hourly Load Profiles for all TMY3 Locations in and Residential Hourly Load Profiles for all TMY3 Locations in the United States Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Hourly load profiles are available for over all TMY3 locations in the United States here. Browse files in this dataset, accessible as individual files and as commercial and residential downloadable ZIP files. This dataset is approximately 4.8GiB compressed or 19GiB uncompressed. July 2nd, 2013 update: Residential High and Low load files have been updated from 366 days in a year for leap years to the more general 365 days in a normal year.

136

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Bangladesh sites from DLR Bangladesh sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Bangladesh. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords Bangladesh DLR DNI GHI hourly data solar SWERA UNEP Data application/zip icon Download Data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment

137

Pantex celebrates three million hours without a lost time injury | National  

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

three million hours without a lost time injury | National three million hours without a lost time injury | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Pantex celebrates three million hours without a ... Pantex celebrates three million hours without a lost time injury Posted By Office of Public Affairs NNSA Blog NNSA Blog

138

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

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

265 Million Hours of Supercomputing Time to Advance 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

139

Commercial and Residential Hourly Load Data Now Available on OpenEI! |  

Open Energy Info (EERE)

Commercial and Residential Hourly Load Data Now Available on OpenEI! Commercial and Residential Hourly Load Data Now Available on OpenEI! Home > Groups > Utility Rate Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 building load building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL I am pleased to announce that simulated hourly residential and commercial building load datasets are now available on OpenEI. These datasets are available for all TMY3 locations in the United States. They contain hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). In addition to various

140

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

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

Ridge: Approaching 4 Million Safe Work Hours Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours March 11, 2013 - 12:03pm Addthis Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge David Sheeley Editor/Writer for Environmental Management's Office of External Affairs Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4 million safe work hours

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ethiopia. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar SWERA TILT UNEP Data application/zip icon Download data (zip, 2.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

142

WIPP Workers Reach Two Million Man-Hours Without a Lost-Time Accident  

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

Workers Reach Two Million Man-Hours Workers Reach Two Million Man-Hours Without a Lost-Time Accident CARLSBAD, N.M., February 22, 2001 - Workers at the U.S. Department of Energy's (DOE) Waste Isolation Pilot Plant (WIPP) reached a safety milestone Feb. 19 by working two million man-hours without a lost-time accident. According to the National Safety Council, facilities with the same industry code as WIPP lose an average of 20.6 workdays (or 164.8 man-hours) a year to accidents. "Safety is at the core of all WIPP operations," said Dr. Inés Triay, Manager of DOE's Carlsbad Field Office. "We are particularly pleased that WIPP workers reached the two million mark during the time in which they mined a new panel and increased shift work." "To make safety a number one priority means more than creating a safe

143

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Kenya. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Kenya solar SWERA TILT UNEP Data application/zip icon Download data (zip, 3.9 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

144

DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to  

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

95 Million Hours of Supercomputing 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry January 8, 2007 - 9:59am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science announced today that 45 projects were awarded a total of 95 million hours of computing time on some of the world's most powerful supercomputers as part of its 2007 Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. DOE's Under Secretary for Science Dr. Raymond Orbach presented the awards at the Council on Competitiveness in Washington, DC. Supercomputers are playing an increasingly important role in scientific

145

A simple method to downscale daily wind statistics to hourly wind data  

E-Print Network (OSTI)

Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy location with 3285 days (9 years) measured hourly wind speed data were used to validate the downscaling method. The results showed that the overall agreement between observed and simulated cumulative wind speed probability distributions appears excellent, especially for the wind speeds greater than 5 m s-1 range (erosive wind speed). The results further revealed that the values of daily average erosive wind power density (AWPD) calculated from generated wind speeds fit the counterparts computed from measured wind speeds well with high models' efficiency (Nash-Sutcliffe coefficient). So that the hourly wind speed data can be predicted from daily average and maximu...

Guo, Zhongling

2013-01-01T23:59:59.000Z

146

The Relationships between Network Lightning Surface and Hourly Observations of Thunderstorms  

Science Conference Proceedings (OSTI)

Relationships were established between lightning location data and surface hourly observations of thunderstorms for 132 stations in the northeastern United States. The relationships are based on statistics derived from 2 2 contingency tables ...

Ronald M. Reap; Richard E. Orville

1990-01-01T23:59:59.000Z

147

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.41  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.41 meets Internal Revenue Code 179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

148

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.31  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.31 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

149

Cluster Analysis of Hourly Wind Measurements to Reveal Synoptic Regimes Affecting Air Quality  

Science Conference Proceedings (OSTI)

A clustering algorithm is developed to study hourly, ground-level wind measurements obtained from a network of monitoring stations positioned throughout the San Francisco Bay Area of California. A statistical model based on principal components ...

Scott Beaver; Ahmet Palazoglu

2006-12-01T23:59:59.000Z

150

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.40  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.40 meets Internal Revenue Code 179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

151

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.34  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.34 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

152

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.50  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.50 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

153

Improved Quality Assurance for Historical Hourly Temperature and Humidity: Development and Application to Environmental Analysis  

Science Conference Proceedings (OSTI)

Historical hourly surface synoptic (airways) meteorological reports from around the United States have been digitized as part of the NOAA Climate Database Modernization Program. An important component is improvement of quality assurance ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-11-01T23:59:59.000Z

154

NREL Develops Sub-Hour Solar Power Data Set (Fact Sheet), NREL...  

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

Sub-Hour Solar Power Data Set NREL data will help utilities incorporate solar energy into their electric power systems. Large-scale deployment of solar energy requires a favorable...

155

A novel 2-D model approach for the prediction of hourly solar radiation  

Science Conference Proceedings (OSTI)

In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year solar radiation data that is acquired and collected between August 1, ...

F. Onur Hocaoglu; Nezih Gerek; Mehmet Kurban

2007-06-01T23:59:59.000Z

156

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size (Poster)  

DOE Green Energy (OSTI)

WindPower 2008 conference sponsored by AWEA held in Houston, TX on June 1-4 2008. This poster illustrates the data collected for an analysis of sub-hourly ramping impacts of wind energy and balancing area size.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

157

Hourly Rainfall Changes in Response to Surface Air Temperature over Eastern Contiguous China  

Science Conference Proceedings (OSTI)

In this study, late-summer rainfall over eastern contiguous China is classified according to hourly intensity and the changes of moderate, intense, and extreme precipitation in response to variation of surface air temperature are analyzed. The e-...

Rucong Yu; Jian Li

2012-10-01T23:59:59.000Z

158

6-Hour to 1-Year Variance of Five Global Precipitation Sets  

Science Conference Proceedings (OSTI)

Three-hourly time series of precipitation from three high-resolution precipitation products [Tropical Rainfall Measuring Mission (TRMM) algorithm 3B-42, the Climate Prediction Centers morphing method (CMORPH), and the Precipitation Estimation ...

Alex C. Ruane; John O. Roads

2007-08-01T23:59:59.000Z

159

Determination of Semivariogram Models to Krige Hourly and Daily Solar Irradiance in Western Nebraska  

Science Conference Proceedings (OSTI)

In this paper, linear and spherical semivariogram models were determined for use in kriging hourly and daily solar irradiation for every season of the year. The data used to generate the models were from 18 weather stations in western Nebraska. ...

G. G. Merino; D. Jones; D. E. Stooksbury; K. G. Hubbard

2001-06-01T23:59:59.000Z

160

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production - DOE Hydrogen and Fuel Cells Program FY 2012 Annual Progress Report  

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

3 3 FY 2012 Annual Progress Report DOE Hydrogen and Fuel Cells Program Genevieve Saur (Primary Contact), Chris Ainscough. National Renewable Energy Laboratory (NREL) 15013 Denver West Parkway Golden, CO 80401-3305 Phone: (303) 275-3783 Email: genevieve.saur@nrel.gov DOE Manager HQ: Erika Sutherland Phone: (202) 586-3152 Email: Erika.Sutherland@ee.doe.gov Project Start Date: October 1, 2010 Project End Date: Project continuation and direction determined annually by DOE Fiscal Year (FY) 2012 Objectives Corroborate recent wind electrolysis cost studies using a * more detailed hour-by-hour analysis. Examine consequences of different system configuration * and operation for four scenarios, at 42 sites in five

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Prediction of clock time hourly global radiation from daily values over  

Open Energy Info (EERE)

Prediction of clock time hourly global radiation from daily values over Prediction of clock time hourly global radiation from daily values over Bangladesh Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for different months are symmetrical about solar noon whereas for many months experimental data show a clear asymmetry. To obtain improved

162

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change  

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

NOAA Awarded 2.6 NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008 WASHINGTON, DC - The U.S. Department of Energy's (DOE) Office of Science will make available more than 10 million hours of computing time for the U.S. Commerce Department's National Oceanic and Atmospheric Administration (NOAA) to explore advanced climate change models at three of DOE's national laboratories as part of a three-year memorandum of understanding on collaborative climate research signed today by the two agencies. NOAA will work with climate change models as well as perform near real-time high-impact (non-production) weather prediction research using computing time on DOE Office of Science resources including two of the world's top

163

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

China sites from DLR China sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in China. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords China DLR DNI GEF GHI solar SWERA UNEP Data application/zip icon Download Data (zip, 953.6 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

164

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

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

Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours February 27, 2013 - 12:00pm Addthis Mike Tidwell performs a leak check and inspection on propane tanks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks OAK RIDGE, Tenn. - Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4

165

On a QUEST to Save Oakland 8.4 Gigawatt Hours | Department of Energy  

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

On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours August 13, 2010 - 3:38pm Addthis Lorelei Laird Writer, Energy Empowers Derrick Rebello wants to make the downtown corridor of Oakland, California, one of the greenest in the nation. Through the new Downtown Oakland Targeted Measure Saturation Project, he and his company, Quantum Energy Services and Technologies (QUEST), are targeting the city's 120-block business district to make as many buildings as possible highly energy efficient. "The goal is to really leave no stone unturned," said Rebello, president of QUEST. "We are trying to achieve 80 percent participation. And of those participating buildings, we are focusing on getting a 20 percent reduction

166

Developing hourly weather data for locations having only daily weather data  

Science Conference Proceedings (OSTI)

A methodology was developed to modify an hourly TMY weather tape to be representative of a location for which only average daily weather parameters were avilable. Typical hourly and daily variations in solar flux, and other parameters, were needed to properly exercise a computer model to predict the transient performance of a solar controlled greenhouse being designed for Riyadh, Saudi Arabia. The starting point was a TMY tape for Yuma, Arizona, since the design temperatures for summer and winter are nearly identical for Yuma and Riyadh. After comparing six of the most important weather variables, the hourly values on the Yuma tape were individually adjusted to give the same overall daily average conditions as existed in the long-term Riyadh data. Finally, a statistical analysis was used to confirm quantitatively that the daily variations between the long term average values for Riyadh and the modified TMY weather tape for Yuma matched satisfactorily.

Talbert, S.G.; Herold, K.E.; Jakob, F.E.; Lundstrom, D.K.

1983-06-01T23:59:59.000Z

167

Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint  

Science Conference Proceedings (OSTI)

High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generating coherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.

Hummon, M.; Ibanez, E.; Brinkman, G.; Lew, D.

2012-12-01T23:59:59.000Z

168

Amp-hour counting charge control for photovoltaic hybrid power systems  

SciTech Connect

An amp-hour counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based photovoltaic hybrid charge controller. This work included extensive laboratory and field testing of the charge algorithm on vented lead-antimony and valve regulated lead-acid batteries. The test results have shown that with proper setup amp-hour counting charge control is more effective than conventional voltage regulated sub-array shedding in returning the lead-acid battery to a high state of charge.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-10-01T23:59:59.000Z

169

Six- and three-hourly meteorological observations from 223 USSR stations  

SciTech Connect

This document describes a database containing 6- and 3-hourly meteorological observations from a 223-station network of the former Soviet Union. These data have been made available through cooperation between the two principal climate data centers of the United States and Russia: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the All-Russian Research Institute of Hydrometeorological Information -- World Data Centre (RIHMI-WDC) in Obninsk. Station records consist of 6- and 3-hourly observations of some 24 meteorological variables including temperature, weather type, precipitation amount, cloud amount and type, sea level pressure, relative humidity, and wind direction and speed. The 6-hourly observations extend from 1936 to 1965; the 3-hourly observations extend from 1966 through the mid-1980s (1983, 1984, 1985, or 1986; depending on the station). These data have undergone extensive quality assurance checks by RIHMI-WDC, NCDC, and the Carbon Dioxide Information Analysis Center (CDIAC). The database represents a wealth of meteorological information for a large and climatologically important portion of the earth`s land area, and should prove extremely useful for a wide variety of regional climate change studies. These data are available free of charge as a numeric data package (NDP) from CDIAC. The NDP consists of this document and 40 data files that are available via the Internet or on 8mm tape. The total size of the database is {approximately}2.6 gigabytes.

Razuvaev, V.N.; Apasova, E.B.; Martuganov, R.A. [All-Russian Research Inst. of Hydrometeorologicl Information, Obninsk (Russia). World Data Centre; Kaiser, D.P. [Oak Ridge National Lab., TN (United States)

1995-04-01T23:59:59.000Z

170

NETL: News Release - DOE Awards Local Researcher with 3 Million Hours on  

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

8, 2008 8, 2008 DOE Awards Local Researcher with 3 Million Hours on Premier Supercomputer Morgantown, W.Va.-The U.S. Department of Energy's (DOE) Office of Science announced today that a scientist at DOE's National Energy Technology Laboratory (NETL) has been awarded 3 million hours of processor time to conduct advanced research on fossil fuel power plants on one of the world's most powerful supercomputers. http://energy.gov/news/5849.htm The Office of Science awarded the supercomputer hours to Madhava Syamlal, a scientist at NETL, as one of 55 nationwide recipients who received a total of 265 million processor hours. Syamlal, along with his team of co-investigators, will use the powerful Cray XT4 supercomputer at ORNL to vastly increase the speed of coal gasifier simulations to aid in the design and optimization of the power plants. His team is composed of Thomas O'Brien (NETL), Chris Guenther (NETL), Sreekanth Pannala (ORNL), Ramanan Sankaran (ORNL), and Aytekin Gel (Aeolus Research Inc.).

171

Thirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago  

E-Print Network (OSTI)

than 30 countries signed a deal on Tuesday to build the world's most advanced nuclear fusion reactor nuclear reactors, but critics argue it could be at least 50 years before a commercially viable reactorThirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago Representatives of more

172

NREL RSF Weather Data 2011 A csv containing hourly weather data...  

Open Energy Info (EERE)

NREL RSF Weather Data 2011 A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. 2013-02-12T18:36:26Z 2013-02-12T18:36:26Z I am submitting...

173

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

E-Print Network (OSTI)

(e.g., HVAC) for a specific building, optimizing control systems and strategies for a buildingPredicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study Richard building energy modeling suffers from several factors, in- cluding the large number of inputs required

Tennessee, University of

174

Sams Teach Yourself Paint Shop Pro 6 in 24 Hours, 1st edition  

Science Conference Proceedings (OSTI)

From the Publisher:This easily accessible tutorial uses a friendly, conversational approach to teach you the basics of Paint Shop Pro 6. With its careful, step-by-step approach, Sams Teach Yourself Paint Shop Pro 6 in 24 Hours makes it easy even for ...

T. Michael Clark; Michael Clark / Kris Tufto

1999-11-01T23:59:59.000Z

175

REDCap 102 Training Session This two-hour session presented by Heather Kim  

E-Print Network (OSTI)

at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis Core, and is offeredREDCap 102 Training Session This two-hour session presented by Heather Kim will explore some Capture) is a secure, web- based application for building and managing online databases for the collection

Illinois at Chicago, University of

176

REDCap 102 Training Session This two-hour session presented by John O'Keefe  

E-Print Network (OSTI)

REDCap team at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis CoreREDCap 102 Training Session This two-hour session presented by John O'Keefe will explore some Data Capture) is a secure, web- based application for building and managing online databases

Illinois at Chicago, University of

177

Climatology of Heavy Rain Events in the United States from Hourly Precipitation Observations  

Science Conference Proceedings (OSTI)

Flash flooding is frequently associated with heavy precipitation (defined here as ?1 in. h?1) occurring over a short period of time. To begin a study of flash floodproducing rain events, the Hourly Precipitation Dataset (HPD) is used to develop ...

Harold E. Brooks; David J. Stensrud

2000-04-01T23:59:59.000Z

178

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong) photon Z boson W bosons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum

Fygenson, Deborah Kuchnir

179

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D neutrino Z0 W + W -g gluon (8) photon Z boson W bosons Quarks Leptons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong force EM force Weak force #12;Par7cles

Fygenson, Deborah Kuchnir

180

Fuel Cell Stacks Still Going Strong After 5,000 Hours  

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

Two fuel cell stacks developed by FuelCell Energy in partnership with Versa Power Systems achieved 5,000 hours of service in February, meeting a goal of the U.S. Department of Energy's Solid State Energy Conversion Alliance.

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


181

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info  

E-Print Network (OSTI)

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info UT Police.utexas.edu/facilities/services for further information and non-emergency service request forms) Environmental Health & Safety 471-3511 911 emergencies, call 911 or go to a local hospital emergency room. (see healthyhorns.utexas.edu/emergencies

Shvets, Gennady

182

Development of global hourly 0.5-degree land surface air temperature datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle and day-to-day variation are also needed for a variety of applications. Global long-term hourly SAT observational data, ...

Aihui Wang; Xubin Zeng

183

Development of Global Hourly 0.5 Land Surface Air Temperature Datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle is also needed for a variety of applications. Global long-term hourly SAT observational data, however, do not exist. ...

Aihui Wang; Xubin Zeng

2013-10-01T23:59:59.000Z

184

Five Kilowatt Fuel Cell Demonstration for Remote Power Applications  

DOE Green Energy (OSTI)

While most areas of the US are serviced by inexpensive, dependable grid connected electrical power, many areas of Alaska are not. In these areas, electrical power is provided with Diesel Electric Generators (DEGs), at much higher cost than in grid connected areas. The reasons for the high cost of power are many, including the high relative cost of diesel fuel delivered to the villages, the high operational effort required to maintain DEGs, and the reverse benefits of scale for small utilities. Recent progress in fuel cell technologies have lead to the hope that the DEGs could be replaced with a more efficient, reliable, environmentally friendly source of power in the form of fuel cells. To this end, the University of Alaska Fairbanks has been engaged in testing early fuel cell systems since 1998. Early tests were conducted on PEM fuel cells, but since 2001, the focus has been on Solid Oxide Fuel Cells. In this work, a 5 kW fuel cell was delivered to UAF from Fuel Cell Technologies of Kingston, Ontario. The cell stack is of a tubular design, and was built by Siemens Westinghouse Fuel Cell division. This stack achieved a run of more than 1 year while delivering grid quality electricity from natural gas with virtually no degradation and at an electrical efficiency of nearly 40%. The project was ended after two control system failures resulted in system damage. While this demonstration was successful, considerable additional product development is required before this technology is able to provide electrical energy in remote Alaska. The major issue is cost, and the largest component of system cost currently is the fuel cell stack cost, although the cost of the balance of plant is not insignificant. While several manufactures are working on schemes for significant cost reduction, these systems do not as yet provide the same level of performance and reliability as the larger scale Siemens systems, or levels that would justify commercial deployment.

Dennis Witmer; Tom Johnson; Jack Schmid

2008-12-31T23:59:59.000Z

185

Five Kilowatt Solid Oxide Fuel Cell/Diesel Reformer  

DOE Green Energy (OSTI)

Reducing fossil fuel consumption both for energy security and for reduction in global greenhouse emissions has been a major goal of energy research in the US for many years. Fuel cells have been proposed as a technology that can address both these issues--as devices that convert the energy of a fuel directly into electrical energy, they offer low emissions and high efficiencies. These advantages are of particular interest to remote power users, where grid connected power is unavailable, and most electrical power comes from diesel electric generators. Diesel fuel is the fuel of choice because it can be easily transported and stored in quantities large enough to supply energy for small communities for extended periods of time. This projected aimed to demonstrate the operation of a solid oxide fuel cell on diesel fuel, and to measure the resulting efficiency. Results from this project have been somewhat encouraging, with a laboratory breadboard integration of a small scale diesel reformer and a Solid Oxide Fuel Cell demonstrated in the first 18 months of the project. This initial demonstration was conducted at INEEL in the spring of 2005 using a small scale diesel reformer provided by SOFCo and a fuel cell provided by Acumentrics. However, attempts to integrate and automate the available technology have not proved successful as yet. This is due both to the lack of movement on the fuel processing side as well as the rather poor stack lifetimes exhibited by the fuel cells. Commercial product is still unavailable, and precommercial devices are both extremely expensive and require extensive field support.

Dennis Witmer; Thomas Johnson

2008-12-31T23:59:59.000Z

186

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.40  

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

Hourly Analysis Program (HAP) version 4.40.0.61 Hourly Analysis Program (HAP) version 4.40.0.61 On this page you'll find information about the HAP version 4.40.0.61 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

187

Effects of electric utility residential conservation programs on hourly load profiles  

SciTech Connect

This paper discusses the potential of using hourly energy simulation models to determine load shape changes resulting from energy conservation activities. It is determined that shifts in the time and the day of the monthly peak demand may occur as the level of conservation increases. The shifting of the peak was from weather-sensitive periods to less-weather-sensitive periods. Seasonal load profile changes resulting from energy conservation were demonstrated. A statistically significant quadratic relationship was identified between the annual percent reduction and annual percent energy conserved for the different distribution systems examined. The relationships are examined between different levels of residential energy conservation from weatherization and heat pumps on the hourly load profiles of different power distribution systems within the TVA power service area.

Harper, J.P.; Sieber, R.E.

1983-01-01T23:59:59.000Z

188

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.41  

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

Hourly Analysis Program (HAP) version 4.41.0.6 Hourly Analysis Program (HAP) version 4.41.0.6 On this page you'll find information about the HAP version 4.41.0.6 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

189

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R.  

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

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Stations (NDP-048) DOI: 10.3334/CDIAC/cli.ndp048 image PDF image Data image Previous Data (data through 1990, published in 1998) image Investigators Contributed by V. N. Razuvaev, E. B. Apasova, R. A. Martuganov All-Russian Research Institute of Hydrometeorological Information-World Data Centre Obninsk, Russia Prepared by D. P. Kaiser and G. P. Marino (contact: kaiserdp@ornl.gov) Carbon Dioxide Information Analysis Center Oak Ridge National Laboratory Oak Ridge, Tennessee Date Published: November 2007

190

Y-12 Construction hits one million-hour mark without a lost-time accident |  

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

Construction hits one ... Construction hits one ... Y-12 Construction hits one million-hour mark without a lost-time accident Posted: August 30, 2012 - 5:30pm The B&W Y-12 Direct-Hire Construction team has worked one million hours, covering a 633-day period, without a lost-time injury. Some 285 people including building trade crafts, non-manual staff and escorts worked without a lost-time accident during this period. The Construction team's last lost workday was in September 2010. A celebration was held today to mark the safety milestone. Senior leaders from National Nuclear Security Administration Production Office (NPO) and B&W Y-12 were on hand to congratulate the workers. Jim Haynes, B&W Y-12 senior vice president and deputy general manager for projects, said, "Congratulations are due the men and women of

191

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster  

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

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Berger, ME; Leonard, RB; Ricks, RC; Wiley, AL; Lowry, PC; Flynn, DF Abstract: This article addresses the problems emergency physicians would face in the event of a nuclear or radiological catastrophe. It presents information about what needs to be done so that useful information will be gathered and reasonable decisions made in the all important triage period. A brief introductory explanation of radiation injury is followed by practical guides for managing the focused history, physical exam, laboratory tests, initial treatment, and disposition of victims of acute radiation syndrome and combined injury. The guides are not intended to serve as a hospital's "emergency

192

Hourly analysis of a very large topically categorized web query log  

E-Print Network (OSTI)

We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a generalpurpose commercial web search service. Previously, query logs have been studied from a single, cumulative view. In contrast, our analysis shows changes in popularity and uniqueness of topically categorized queries across the hours of the day. We examine query traffic on an hourly basis by matching it against lists of queries that have been topically pre-categorized by human editors. This represents 13 % of the query traffic. We show that query traffic from particular topical categories differs both from the query stream as a whole and from other categories. This analysis provides valuable insight for improving retrieval effectiveness and efficiency. It is also relevant to the development of enhanced query disambiguation, routing, and caching algorithms.

Steven M. Beitzel; Eric C. Jensen; Abdur Chowdhury; David Grossman; Ophir Frieder

2004-01-01T23:59:59.000Z

193

Day-Ahead/Hour-Ahead Forecasting for Demand Trading: A Guidebook  

Science Conference Proceedings (OSTI)

Demand trading can be an effective hedge against wholesale power price spikes during times of constraint. However, it also can be a high-risk venture. Profitability depends on reliable demand forecasting. Short-term load forecasting (STLF) can minimize the risks of day-ahead purchasing by providing better predictions at the system level. Additionally, STLF can reduce hour-ahead spot market risks and directly support demand trading by providing more accurate assessments of incremental load reductions from...

2001-12-20T23:59:59.000Z

194

Day-Ahead/Hour-Ahead Forecasting for Demand Trading: A Guidebook  

Science Conference Proceedings (OSTI)

Download report 1006016 for FREE. Demand trading can be an effective hedge against wholesale power price spikes during times of constraint. However, it also can be a high-risk venture. Profitability depends on reliable demand forecasting. Short-term load forecasting (STLF) can minimize the risks of day-ahead purchasing by providing better predictions at the system level. Additionally, STLF can reduce hour-ahead spot market risks and directly support demand trading by providing more accurate assessments o...

2001-12-20T23:59:59.000Z

195

An Hourly-Based Performance Comparison of an Integrated Micro-Structural  

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

An Hourly-Based Performance Comparison of an Integrated Micro-Structural An Hourly-Based Performance Comparison of an Integrated Micro-Structural Perforated Shading Screen with Standard Shading Systems Title An Hourly-Based Performance Comparison of an Integrated Micro-Structural Perforated Shading Screen with Standard Shading Systems Publication Type Journal Article LBNL Report Number LBNL-5521E Year of Publication 2012 Authors Appelfeld, David, Andrew McNeil, and Svend Svendsen Journal Energy and Buildings Volume 50 Issue July 2012 Keywords building performance modelling, complex fenestration system, daylight, shading, solar gains Abstract This article evaluates the performance of an integrated micro structural perforated shading screen (MSPSS). Such a system maintains a visual connection with the outdoors while imitating the shading functionality of a venetian blind. Building energy consumption is strongly influenced by the solar gains and heat transfer through the transparent parts of the fenestration systems. MSPSS is angular-dependent shading device that provides an effective strategy in the control of daylight, solar gains and overheating through windows. The study focuses on using direct experimental methods to determine bi-directional transmittance properties of shading systems that are not included as standard shading options in readily available building performance simulation tools. The impact on the indoor environment, particularly temperature and daylight were investigated and compared to three other static complex fenestration systems. The bi-directional description of the systems was used throughout the article. The simulations were validated against outdoor measurements of solar and light transmittance.

196

Identifying Challenging Operating Hours for Solar Intergration in the NV Energy System  

Science Conference Proceedings (OSTI)

Abstract-- In this paper, the ability of the Nevada (NV) Energy generation fleet to meet its system balancing requirements under different solar energy penetration scenarios is studied. System balancing requirements include capacity, ramp rate, and ramp duration requirements for load following and regulation. If, during some operating hours, system capability is insufficient to meet these requirements, there is certain probability that the balancing authoritys control and reliability performance can be compromised. These operating hours are considered as challenging hours. Five different solar energy integration scenarios have been studied. Simulations have shown that the NV Energy system will be potentially able to accommodate up to 942 MW of solar photovoltaic (PV) generation. However, the existing generation scheduling procedure should be adjusted to make it happen. Fast-responsive peaker units need to be used more frequently to meet the increasing ramping requirements. Thus, the NV Energy system operational cost can increase. Index TermsSolar Generation, Renewables Integration, Balancing Process, Load Following, Regulation.

Etingov, Pavel V.; Lu, Shuai; Guo, Xinxin; Ma, Jian; Makarov, Yuri V.; Chadliev, Vladimir; Salgo, Richard

2012-05-09T23:59:59.000Z

197

Optimizing hourly hydro operations at the Salt Lake City Area integrated projects  

DOE Green Energy (OSTI)

The Salt Lake City Area (SLCA) office of the Western Area Power Administration (Western) is responsible for marketing the capacity and energy generated by the Colorado Storage, Collbran, and Rio Grande hydropower projects. These federal resources are collectively called the Salt Lake City Area Integrated Projects (SLCA/IP). In recent years, stringent operational limitations have been placed on several of these hydropower plants including the Glen Canyon Dam, which accounts for approximately 80% of the SLCA/IP resources. Operational limitations on SLCA/IP hydropower plants continue to evolve as a result of decisions currently being made in the Glen Canyon Dam Environmental Impact Statement (EIS) and the Power Marketing EIS. To analyze a broad range of issues associated with many possible future operational restrictions, Argonne National Laboratory (ANL), with technical assistance from Western has developed the Hydro LP (Linear Program) Model. This model simulates hourly operations at SLCA/IP hydropower plants for weekly periods with the objective of maximizing Western`s net revenues. The model considers hydropower operations for the purpose of serving SLCA firm loads, loads for special projects, Inland Power Pool (IPP) spinning reserve requirements, and Western`s purchasing programs. The model estimates hourly SLCA/IP generation and spot market activities. For this paper, hourly SLCA/IP hydropower plant generation is simulated under three operational scenarios and three hydropower conditions. For each scenario an estimate of Western`s net revenue is computed.

Veselka, T.D.; Hamilton, S. [Argonne National Lab., IL (United States); McCoy, J. [Western Area Power Administration, Salt Lake City, UT (United States)

1995-06-01T23:59:59.000Z

198

Reliability analysis of solar photovoltaic system using hourly mean solar radiation data  

Science Conference Proceedings (OSTI)

This paper presents the hourly mean solar radiation and standard deviation as inputs to simulate the solar radiation over a year. Monte Carlo simulation (MCS) technique is applied and MATLAB program is developed for reliability analysis of small isolated power system using solar photovoltaic (SPV). This paper is distributed in two parts. Firstly various solar radiation prediction methods along with hourly mean solar radiation (HMSR) method are compared. The comparison is carried on the basis of predicted electrical power generation with actual power generated by SPV system. Estimation of solar photovoltaic power using HMSR method is close to the actual power generated by SPV system. The deviation in monsoon months is due to the cloud cover. In later part of the paper various reliability indices are obtained by HMSR method using MCS technique. Load model used is IEEE-RTS. Reliability indices, additional load hours (ALH) and additional power (AP) reduces exponentially with increase in load indicates that a SPV source will offset maximum fuel when all of its generated energy is utilized. Fuel saving calculation is also investigated. Case studies are presented for Sagardeep Island in West Bengal state of India. (author)

Moharil, Ravindra M. [Department of Electrical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra (India); Kulkarni, Prakash S. [Department of Electrical Engineering, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur 440011, Maharashtra (India)

2010-04-15T23:59:59.000Z

199

Frequently Asked Questions | U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

How much carbon dioxide (CO 2) is produced per kilowatt-hour when generating electricity with fossil fuels?

200

Needs and Wants-Suggestions for High Voltage and High ...  

Science Conference Proceedings (OSTI)

... generation capacity installed or in backlog, Generated more than one billion kilowatt hours of ultra-clean power. Page 3. ...

2012-06-08T23:59:59.000Z

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load  

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

Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours Docket No. EO-05-01. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours. Arial photograph showing plant and location of predicted SO2 violations, predicted in 2000. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours More Documents & Publications Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 3, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 4, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by

202

Observed Temperature Effects on Hourly Residential Electric Load Reduction in Response to an Experimental Critical Peak Pricing Tariff  

E-Print Network (OSTI)

changes to retail electricity rates on an hourly or dailyweekdays 2004 [6] Most electricity rates in use today arerates with control technologies use 30- 40% less electricity

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-01-01T23:59:59.000Z

203

Fault Detection of Hourly Measurements in District Heat and Electricity Consumption; Feldetektion av Timinsamlade Mtvrden i Fjrrvrme- och Elfrbrukning.  

E-Print Network (OSTI)

?? Within the next years, the amount of consumption data will increase rapidly as old meters will be exchanged in favor of meters with hourly (more)

Johansson, Andreas

2005-01-01T23:59:59.000Z

204

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

Science Conference Proceedings (OSTI)

Real-time pricing (RTP) has been advocated as an economically efficient means to send price signals to customers to promote demand response (DR) (Borenstein 2002, Borenstein 2005, Ruff 2002). However, limited information exists that can be used to judge how effectively RTP actually induces DR, particularly in the context of restructured electricity markets. This report describes the second phase of a study of how large, non-residential customers' adapted to default-service day-ahead hourly pricing. The customers are located in upstate New York and served under Niagara Mohawk, A National Grid Company (NMPC)'s SC-3A rate class. The SC-3A tariff is a type of RTP that provides firm, day-ahead notice of hourly varying prices indexed to New York Independent System Operator (NYISO) day-ahead market prices. The study was funded by the California Energy Commission (CEC)'s PIER program through the Demand Response Research Center (DRRC). NMPC's is the first and longest-running default-service RTP tariff implemented in the context of retail competition. The mix of NMPC's large customers exposed to day-ahead hourly prices is roughly 30% industrial, 25% commercial and 45% institutional. They have faced periods of high prices during the study period (2000-2004), thereby providing an opportunity to assess their response to volatile hourly prices. The nature of the SC-3A default service attracted competitive retailers offering a wide array of pricing and hedging options, and customers could also participate in demand response programs implemented by NYISO. The first phase of this study examined SC-3A customers' satisfaction, hedging choices and price response through in-depth customer market research and a Constant Elasticity of Substitution (CES) demand model (Goldman et al. 2004). This second phase was undertaken to answer questions that remained unresolved and to quantify price response to a higher level of granularity. We accomplished these objectives with a second customer survey and interview effort, which resulted in a higher, 76% response rate, and the adoption of the more flexible Generalized Leontief (GL) demand model, which allows us to analyze customer response under a range of conditions (e.g. at different nominal prices) and to determine the distribution of individual customers' response.

Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim

2005-08-25T23:59:59.000Z

205

Sub-Hourly Impacts of High Solar Penetrations in the Western United States: Preprint  

DOE Green Energy (OSTI)

This paper presents results of analysis on the sub-hourly impacts of high solar penetrations from the Western Wind and Solar Integration Study Phase 2. Extreme event analysis showed that most large ramps were due to sunrise and sunset events, which have a significant predictability component. Variability in general was much higher in the high-solar versus high-wind scenario. Reserve methodologies that had already been developed for wind were therefore modified to take into account the predictability component of solar variability.

Lew, D.; Brinkman, G.; Ibanez, E.; Hummon, M.; Hodge, B. M.; Heaney, M.; King, J.

2012-09-01T23:59:59.000Z

206

Daily/Hourly Hydrosystem Operation : How the Columbia River System Responds to Short-Term Needs.  

SciTech Connect

The System Operation Review, being conducted by the Bonneville Power Administration, the US Army Corps of Engineers, and the US Bureau of Reclamation, is analyzing current and potential future operations of the Columbia River System. One goal of the System Operations Review is to develop a new System Operation Strategy. The strategy will be designed to balance the many regionally and nationally important uses of the Columbia River system. Short-term operations address the dynamics that affect the Northwest hydro system and its multiple uses. Demands for electrical power and natural streamflows change constantly and thus are not precisely predictable. Other uses of the hydro system have constantly changing needs, too, many of which can interfere with other uses. Project operators must address various river needs, physical limitations, weather, and streamflow conditions while maintaining the stability of the electric system and keeping your lights on. It takes staffing around the clock to manage the hour-to-hour changes that occur and the challenges that face project operators all the time.

Columbia River System Operation Review (U.S.)

1994-02-01T23:59:59.000Z

207

NV Energy Large-Scale Photovoltaic Integration Study: Intra-Hour Dispatch and AGC Simulation  

SciTech Connect

The uncertainty and variability with photovoltaic (PV) generation make it very challenging to balance power system generation and load, especially under high penetration cases. Higher reserve requirements and more cycling of conventional generators are generally anticipated for large-scale PV integration. However, whether the existing generation fleet is flexible enough to handle the variations and how well the system can maintain its control performance are difficult to predict. The goal of this project is to develop a software program that can perform intra-hour dispatch and automatic generation control (AGC) simulation, by which the balancing operations of a system can be simulated to answer the questions posed above. The simulator, named Electric System Intra-Hour Operation Simulator (ESIOS), uses the NV Energy southern system as a study case, and models the systems generator configurations, AGC functions, and operator actions to balance system generation and load. Actual dispatch of AGC generators and control performance under various PV penetration levels can be predicted by running ESIOS. With data about the load, generation, and generator characteristics, ESIOS can perform similar simulations and assess variable generation integration impacts for other systems as well. This report describes the design of the simulator and presents the study results showing the PV impacts on NV Energy real-time operations.

Lu, Shuai; Etingov, Pavel V.; Meng, Da; Guo, Xinxin; Jin, Chunlian; Samaan, Nader A.

2013-01-02T23:59:59.000Z

208

Small scale ethanol production: design manual. [10 to 15 gallons per hour  

DOE Green Energy (OSTI)

The purpose of the project was to design, fabricate, and evaluate a small scale continuous ethanol plant. The scope of the study was to satisfy four specific objectives. The first objective was to design a small scale continuous distillation unit capable of producing 10 to 15 gallons per hour of 170 to 190 proof ethanol. A second objective was to economically fabricate the distillation unit. A third objective was to thoroughly evaluate the unit with emphasis on production potential, operation considerations, and energy balance. The fourth objective was to work with the Farm Bureau in identifying an organization that would place the unit in a production environment. The results of the study indicate that the distillation unit is capable of producing and average of 9 to 14 gallons per hour (based on alcohol percent in beer) of 174 proof ethanol. The energy ratio for distillation is a positive 3:1. Once the unit has reached steady state very little operator attention is required with the exception of periodically refluxing. Material cost of the plate column is approximately $5000. The unit could be built by an individual provided he is trained in welding and has the necessary shop equipment. 39 figures, 12 tables.

Adcock, L.E. II; Eley, M.H.; Schroer, B.J.

1981-09-01T23:59:59.000Z

209

A 25-yr Climatology of Large-Amplitude Hourly Surface Pressure Changes over the Conterminous United States  

Science Conference Proceedings (OSTI)

Hourly surface pressure observations for a 25-yr period (194963; 198493) for the conterminous United States have been used to map the distribution of large hourly pressure changes defined as falls or rises in excess of 4.25 hPa. Initially, 8431 ...

Lorna L. Koppel; Lance F. Bosart; Daniel Keyser

2000-01-01T23:59:59.000Z

210

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.31  

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

1 1 On this page you'll find information about the Hourly Analysis Program (HAP) version 4.31 qualified computer software (www.buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.gov/commercial/). Date Documentation Received by DOE: 17 August 2006 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221 (2) The name, email address, and

211

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.34  

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

4 4 On this page you'll find information about the Hourly Analysis Program (HAP) version 4.34 qualified computer software (www.buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.gov/commercial/). Date Documentation Received by DOE: 10 August 2007 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221 (2) The name, email address, and

212

SF 6432-TM Standard Terms and Conditions for Time and Materials Labor Hour Contracts  

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

TM (04-95) TM (04-95) Sections II & III SECTION II STANDARD TERMS AND CONDITIONS FOR TIME AND MATERIAL OR LABOR HOURS CONTRACTS INDEX OF CLAUSES THE FOLLOWING CLAUSES APPLY TO THIS CONTRACT AS INDICATED UNLESS SPECIFICALLY DELETED, OR EXCEPT TO THE EXTENT THEY ARE SPECIFICALLY SUPPLEMENTED OR AMENDED IN WRITING IN THE SIGNATURE PAGE OR SECTION I. No. Title Page "A" Clauses apply to Requests for Quotation and Contracts at any value A10 Definitions 2 A11 Unclassified Contract 2 A12 Assignment 2 *A13 Releases Void 2 *A14 Notice of Labor Disputes 2 *A16 Contractor's Information 2 A17 Delegated Representatives 2 *A18 Defense Priority and Allocation System 2 A19 Terms and Conditions 3 *A20 Permits 3 *A23 Applicable Law 3 *A24 Contractor Records Retention 3 A25 Commerce in Explosives, Firearms and

213

High Temperature Solid-Oxide Electrolyzer 2500 Hour Test Results At The Idaho National Laboratory  

DOE Green Energy (OSTI)

The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This paper will provide a summary of experimental results to date for this ongoing test.

Carl Stoots; James O'Brien; Stephen Herring; Keith Condie; Lisa Moore-McAteer; Joseph J. Hartvigsen; Dennis Larsen

2009-11-01T23:59:59.000Z

214

(Project title: E-mc2, A Two-Hour Television Program on NOVA)  

DOE Green Energy (OSTI)

Executive Summary A woman in the early 1700s who became one of Europes leading interpreters of mathematics and a poor bookbinder who became one of the giants of nineteenth-century science are just two of the pioneers whose stories NOVA explored in Einsteins Big Idea. This two-hour documentary premiered on PBS in October 2005 and is based on the best-selling book by David Bodanis, E=mc2: A Biography of the Worlds Most Famous Equation. The film and book chronicle the scientific challenges and discoveries leading up to Einsteins startling conclusion that mass and energy are one, related by the formula E = mc2.

Susanne Simpson

2007-05-07T23:59:59.000Z

215

2500-Hour High Temperature Solid-Oxide Electrolyzer Long Duration Test  

DOE Green Energy (OSTI)

The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This report will provide a summary of experimental results for this long duration test.

C. M. Stoots; J. E. O'Brien; K. G. Condie; L. Moore-McAteer; J. J. Hartvigsen; D. Larsen

2009-11-01T23:59:59.000Z

216

Hydrogen Electrochemical Energy Storage Device  

very high energy density of approximately 30,000 Watt-hour per kilogram (Wh/kg). Comparatively, state of the art Li-Ion batteries have energy densities of about 400 Wh/kg. While hydrogen fuel cells have been heavily investigated as an alternative ...

217

Meteorological Patterns Associated with Maximum 3-Hour Average Concentrations Predicted by the CRSTER Model for a Tall Stack Source  

Science Conference Proceedings (OSTI)

Regional meteorological patterns associated with maximum 3-hour average concentrations predicted by the U.S. EPA CRSTER model for emissions from a tall stack were examined for a limited sample. Causes of predicted peaks were the movements of weak ...

Paul N. Derezotes

1984-11-01T23:59:59.000Z

218

Wind Power Plants and System Operation in the Hourly Time Domain: Preprint  

DOE Green Energy (OSTI)

Because wind is an intermittent power source, the variability may have significant impacts on system operation. Part of the difficulty of analyzing the load following impact of wind is the inadequacy of most modeling frameworks to accurately treat wind plants and the difficulty of untangling causal impacts of wind plants from other dynamic phenomena. This paper presents a simple analysis of an hourly load-following requirement that can be performed without extensive computer modeling. The approach is therefore useful as a first step to quantifying these impacts when extensive modeling and data sets are not available. The variability that wind plants add to the electricity supply must be analyzed in the context of overall system variability. The approach used in this paper does just that. The results show that wind plants do have an impact on load following, but when calculated as a percentage of the installed wind plant capacity, this impact is not large. Another issue is the extent to which wind forecast errors add to imbalance. The relative statistical independence of wind forecast errors and load forecast errors can be used to help quantify the extent to which wind forecast errors impact overall system imbalances.

Milligan, M.

2003-05-01T23:59:59.000Z

219

After-hours Power Status of Office Equipment in the USA  

SciTech Connect

Office equipment is expected to be the fastest-growingsegment of commercial energy use over the next 20 years, yet many aspectsof office equipment energy use are poorly understood. User behavior, suchas turning off devices at night or enabling power management, influencesenergy use to a great extent. The computing environment also plays a roleboth in influencing user behavior and in the success of power management.Information about turn-off rates and power management rates for officeequipment was collected through a series of after-hours audits incommercial buildings. Sixteen businesses were recruited, includingoffices (small, medium and large offices in a variety of industries),schools, and medical buildings in California, Georgia, and Pennsylvania.The types and power states of office equipment found in these buildingswere recorded and analyzed. This article presents these data forcomputers, monitors, printers, copiers, fax machines, scanners andmulti-function devices. These data can be used to improve estimates ofboth energy consumption for these devices and savings from energyconservation efforts.

Webber, Carrie A.; Roberson, Judy A.; McWhinney, Marla C.; Brown,Richard E.; Pinckard, Margaret J.; Busch, John F.

2005-10-13T23:59:59.000Z

220

After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-load Equipment  

Science Conference Proceedings (OSTI)

This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the after-hours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of ''miscellaneous'' plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings. The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential. This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from twelve commercial buildings in California, Georgia, and Pennsylvania: two health care buildings, two large offices (> 500 employees each), three medium offices (50-500 employees), four education buildings, and one ''small office'' that is actually an aggregate of five small businesses. Two buildings are in the San Francisco Bay area of California, five are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.

Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Margaret J.; Busch, John F.

2004-01-22T23:59:59.000Z

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

Science Conference Proceedings (OSTI)

Whole building input models for energy simulation programs are frequently created in order to evaluate specific energy savings potentials. They are also often utilized to maximize cost-effective retrofits for existing buildings as well as to estimate the impact of policy changes toward meeting energy savings goals. Traditional energy modeling suffers from several factors, including the large number of inputs required to characterize the building, the specificity required to accurately model building materials and components, simplifying assumptions made by underlying simulation algorithms, and the gap between the as-designed and as-built building. Prior works have attempted to mitigate these concerns by using sensor-based machine learning approaches to model energy consumption. However, a majority of these prior works focus only on commercial buildings. The works that focus on modeling residential buildings primarily predict monthly electrical consumption, while commercial models predict hourly consumption. This means there is not a clear indicator of which techniques best model residential consumption, since these methods are only evaluated using low-resolution data. We address this issue by testing seven different machine learning algorithms on a unique residential data set, which contains 140 different sensors measurements, collected every 15 minutes. In addition, we validate each learner's correctness on the ASHRAE Great Energy Prediction Shootout, using the original competition metrics. Our validation results confirm existing conclusions that Neural Network-based methods perform best on commercial buildings. However, the results from testing our residential data set show that Feed Forward Neural Networks, Support Vector Regression (SVR), and Linear Regression methods perform poorly, and that Hierarchical Mixture of Experts (HME) with Least Squares Support Vector Machines (LS-SVM) performs best - a technique not previously applied to this domain.

Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

2012-01-01T23:59:59.000Z

222

Data:4e20bc7d-cab6-43c7-a595-a8c8b9176158 | Open Energy Information  

Open Energy Info (EERE)

maximum demand was greater than or equal tofifty (50) kilowatts or monthly metered energy usage was greater than or equal to 10,000 kilowatt hours, and b) monthly metered...

223

Data:360cc7de-9ba0-415e-98be-159d822bfe9d | Open Energy Information  

Open Energy Info (EERE)

customers whose monthly use of power and energy do not generally exceed 10 kilowatts of demand andor 2,000 kilowatt-hours per month, and are receiving service under...

224

Data:310b904d-b7d9-4f9f-b82d-f462002e8a64 | Open Energy Information  

Open Energy Info (EERE)

customers whose monthly use of power and energy do not generally exceed 10 kilowatts of demand andor 2,000 kilowatt-hours per month, and are receiving service under...

225

Data:03cf86f8-dcbc-45bb-81d3-7b41ead32324 | Open Energy Information  

Open Energy Info (EERE)

customers whose monthly use of power and energy do not generally exceed 10 kilowatts of demand andor 2,000 kilowatt-hours per month, and are receiving service under...

226

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

rate is limited to generators which utilize a renewable source of energy such as biomass, wind or solar, to power a generator rated at 10 kilowatts or less. ***Kilowatt hours that...

227

Lessons Learned - The EV Project DC Fast Charge - Demand Charge...  

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

Vehicle kW Kilowatt kWh Kilowatt-hour PEV Plug-in Electric Vehicle PHEV Plug-in Hybrid Electric Vehicle SOC State of Change TOU Time-of-Use U.S. United States Lessons...

228

PSE&G - Commercial Efficiency Program | Department of Energy  

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

with an electric demand of less than 150 kilowatts(kW) or 40,300 kilowatt-hours (kWh) per month. PSE&G provides a walk-through energy evaluation, and a report of...

229

NETL Report format template  

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

and Cost Interactive Tool Documentation List of Acronyms and Abbreviations kW Dollar per kilowatt BtukWh British thermal unit per kilowatt hour CC Carbon capture CO 2...

230

Instructor's Name Email Address Office Hours Allen, Chris christopherallen@pdx.edu W 3:00-4:00pm CH 366  

E-Print Network (OSTI)

Instructor's Name Email Address Office Hours Office Location Allen, Chris christopherallen CH 361 Fall 2011 Instructor Office Hours #12;Pickett-Cooper, Patty pickettp@pdx.edu F 11:30-1:30pm CH

231

[14] DIRECT TRANSFER ELECTROPHORESIS 187 which usually takes less than an hour. The database should be monitored  

E-Print Network (OSTI)

[14] DIRECT TRANSFER ELECTROPHORESIS 187 which usually takes less than an hour. The database should MemorialScholarship, and M.S.C. by AppliedBiosystems. [14] DNA Sequencing with Direct Transfer are preparative electrophoresis methods and direct transfer electro- phoresis. ~°In direct transfer

Church, George M.

232

Evaluation of Cold-Season Precipitation Forecasts Generated by the Hourly Updating High-Resolution Rapid Refresh Model  

Science Conference Proceedings (OSTI)

The hourly updating High-Resolution Rapid Refresh (HRRR) model is evaluated with regard to its ability to predict the areal extent of cold-season precipitation and accurately depict the timing and location of regions of snow, rain, and mixed-phase ...

Kyoko Ikeda; Matthias Steiner; James Pinto; Curtis Alexander

2013-08-01T23:59:59.000Z

233

An improved procedure for developing a calibrated hourly simulation model of an electrically heated and cooled commercial building  

E-Print Network (OSTI)

With the increased use of building energy simulation programs, calibration of simulated data to measured data has been recognized as an important factor in substantiating how well the model fits a real building. Model calibration to measured monthly utility data has been utilized for many years. Recently, efforts have reported calibrated models at the hourly level. Most of the previous methods have relied on very simple comparisons including bar charts, monthly percent difference time-series graphs, and x-y scatter plots. A few advanced methods have been proposed as well which include carpet plots and comparative 3-D time-series plots. Unfortunately, at hourly levels of calibration, many of the traditional graphical calibration techniques become overwhelmed with data and suffer from data overlap. In order to improve upon previously established techniques, this thesis presents new calibration methods including temperature binned box-whisker-mean analysis to improve x-y scatter plots, 24-hour weather-daytype box-whisker-mean graphs to show hourly temperature-dependent energy use profiles, and 52-week box-whisker-mean plots to display long-term trends. In addition to the graphical calibration techniques, other methods are also used including indoor temperature calibration to improve thermostat schedules and architectural rendering as a means of verifying the building envelope dimensions and shading placement. Several statistical methods are also reviewed for their appropriateness including percent difference, mean bias error (MBE), and the coefficient of variation of the root mean squared error. Results are presented using a case study building located in Washington, D.C. In the case study building, nine months of hourly whole-building electricity data and site-specific weather data were measured and used with the DOE-2. 1D building simulation program to test the new techniques. Use of the new calibration procedures were able to produce a MBE of-0.7% and a CV(RMSE) of 23. 1 % which compare favorably with the most accurate hourly neural network models.

Bou-Saada, Tarek Edmond

1994-01-01T23:59:59.000Z

234

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

DOE Green Energy (OSTI)

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

Smith, J.H.

1980-01-15T23:59:59.000Z

235

A Study on How the Electricity Market as a Whole and Consumers in Particular Could Benefit if More Consumers were to buy Electricity on Hourly Metering.  

E-Print Network (OSTI)

?? When consumers are able to buy electricity on an hourly instead of monthly basis, the demand side flexibility is likely to increase. One way (more)

Lundstrm, Fredrik

2010-01-01T23:59:59.000Z

236

OpenEI - hourly  

Open Energy Info (EERE)

are given by a location defined by the Typical Meteorological Year (TMY) for which the weather data was collected. Commercial load data is sorted by the (TMY) site as a...

237

PDSF Office Hours 9/5/13 from 2:00 to 4:00 pm at LBNL  

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

9/5/13 from 9/5/13 from 2:00 to 4:00 pm at LBNL PDSF Office Hours 9/5/13 from 2:00 to 4:00 pm at LBNL September 5, 2013 (0 Comments) I have biweekly office hours on Thursdays at LBNL. The next one is Thursday 9/5/13 from 2:00 - 4:00 pm in the NERSC drop in office at 050A-0143A (in the basement by the bus offices). Please feel free to stop by if you have any questions or want some hands on help with PDSF issues. Post your comment You cannot post comments until you have logged in. Login Here. Comments No one has commented on this page yet. RSS feed for comments on this page | RSS feed for all comments User Announcements Email announcement archive Subscribe via RSS Subscribe Browse by Date November 2013 October 2013 September 2013 August 2013 March 2012 February 2012 January 2012

238

Observed Temperature Effects on Hourly Residential Electric LoadReduction in Response to an Experimental Critical Peak PricingTariff  

SciTech Connect

The goal of this investigation was to characterize themanual and automated response of residential customers to high-price"critical" events dispatched under critical peak pricing tariffs testedin the 2003-2004 California Statewide Pricing Pilot. The 15-monthexperimental tariff gave customers a discounted two-price time-of-userate on 430 days in exchange for 27 critical days, during which the peakperiod price (2 p.m. to 7 p.m.) was increased to about three times thenormal time-of-use peak price. We calculated response by five-degreetemperature bins as the difference between peak usage on normal andcritical weekdays. Results indicatedthat manual response to criticalperiods reached -0.23 kW per home (-13 percent) in hot weather(95-104.9oF), -0.03 kW per home (-4 percent) in mild weather (60-94.9oF),and -0.07 kW per home (-9 percent) during cold weather (50-59.9oF).Separately, we analyzed response enhanced by programmable communicatingthermostats in high-use homes with air-conditioning. Between 90oF and94.9oF, the response of this group reached -0.56 kW per home (-25percent) for five-hour critical periods and -0.89 kW/home (-41 percent)for two-hour critical periods.

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-11-14T23:59:59.000Z

239

PDSF Office Hours 10/17/13 from 2:00 to 4:00 pm at LBNL  

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

10/17/13 from 10/17/13 from 2:00 to 4:00 pm at LBNL PDSF Office Hours 10/17/13 from 2:00 to 4:00 pm at LBNL October 7, 2013 (0 Comments) I have biweekly office hours on Thursdays at LBNL. The next one is Thursday 10/17/13 from 2:00 - 4:00 pm in the NERSC drop in office at 050A-0143A (in the basement by the bus offices). Please feel free to stop by if you have any questions or want some hands on help with PDSF issues. Post your comment You cannot post comments until you have logged in. Login Here. Comments No one has commented on this page yet. RSS feed for comments on this page | RSS feed for all comments User Announcements Email announcement archive Subscribe via RSS Subscribe Browse by Date November 2013 October 2013 September 2013 August 2013 March 2012 February 2012 January 2012

240

The distribution of cloud cover over the former USSR as derived from the RIHMI 223-Station 3-hourly meteorological database  

SciTech Connect

In recent years a great deal of meteorological and climatological data has been exchanged between the two principal climate data centers of the United States and the former Soviet Union: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the Research Institute of Hydrometeorological Information (RIHMI) in Obninsk, Russia. This was accomplished via Working Group VIB (Influence of Environmental Changes on Climate) of the bilateral initiative known as the Agreement on Protection of the Environment, established on May 23, 1972 by the United States and the USSR. One of the key datasets compiled by RIHMI includes 3-hourly meteorological observations from 223 USSR stations for the period 1966-83. RIHMI has chosen to use daily and hourly data from these stations as the basis for considerable climate research efforts. These data (hereafter referred to as the RIHMI database) will soon be made available by both NCDC and the Department of Energy`s Carbon Dioxide Information Analysis Center (CDIAC) in Oak Ridge, Tennessee. The data have undergone extensive quality assurance checks at RIHMI, NCDC, and CDIAC. The data contain observations of some 22 meteorological variables, including near-surface air temperature, sea level pressure, precipitation amount, weather type, and total cloud cover. This study uses the RIHMI database to examine the spatial distribution of total cloud cover over the former USSR (hereafter referred to as the USSR). In this initial assessment, we focus on comparing our results with total cloud cover data presented in the atlas: Global Distribution of Total Cloud Cover and Cloud Type Amounts Over Land for the common data period 1971-81.

Kaiser, D.P.; Vose, R.S. [Oak Ridge National Lab., TN (United States); Karl, T.R. [National Climatic Data Center, Asheville, NC (United States); Razuvaev, V.N. [Research Institute of Hydrometeorological Information, Obninsk (Russian Federation)

1995-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Investigation of the Role of Trap States in Solar Cell Reliability using Photothermal Deflection Spectroscopy  

E-Print Network (OSTI)

electricity. The average cost per kWh (Kilowatt Hour) ofdirectly currently cost around $0.24 per kWh in Central and

Bezryadina, Anna Sergeyevna

2012-01-01T23:59:59.000Z

242

Assessment of Indoor Air Quality Benefits and Energy Costs of Mechanical Ventilation  

E-Print Network (OSTI)

heating, given the higher cost per KWh for electricity, aaverage cost of electrical energy per kilowatt-hour (kWh) is

Logue, J.M.

2012-01-01T23:59:59.000Z

243

City of San Diego - Green Power Purchasing (California) | Open...  

Open Energy Info (EERE)

ninth largest local government partner, consuming 69,043,000 kilowatt-hours of renewable electricity every year, 27% of the electricity consumed by the City government. Incentive...

244

DATES: The due dates for submission of white papers are ...  

Science Conference Proceedings (OSTI)

... Oil 2010-2030 140 100 ... to increase, while nuclear and natural gas use will ... 2030, billion kilowatt hours (EIA Annual Energy Outlook, Early Release ...

2011-08-02T23:59:59.000Z

245

Community Feed-in Tariff (Nova Scotia, Canada) | Department of...  

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

provides an opportunity for community-based power producers to receive an established price per kilowatt hour for projects producing renewable energy. It is expected to add 100...

246

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars, cents per kilowatt-hour in ""dollar year"" specific to each AEO)"...

247

How much electricity is used for cooling in the United States ...  

U.S. Energy Information Administration (EIA)

How much electricity is used for cooling in the United States? In 2011, EIA estimates that about 440 billion kilowatt-hours ... tariff, and demand charge data?

248

PROCEEDINGS OF 1976 SUMMER WORKSHOP ON AN ENERGY EXTENSION SERVICE  

E-Print Network (OSTI)

residential electricity price of 3.61 per kilowatt hour and the heat ratethe rate of return is 32%. For residential electricity, the

Authors, Various

2010-01-01T23:59:59.000Z

249

Data:C4dc56d3-56f7-44f2-9a41-83bfa9b2e3a2 | Open Energy Information  

Open Energy Info (EERE)

excess kilowatt-hours produced times the sum of the applicable energy charge plus monthly power cost adjustment clause (PCAC). Primary Metering Discount: Customers metered on the...

250

Data:Fb252182-1dc5-43f0-8b7e-227c9052e14b | Open Energy Information  

Open Energy Info (EERE)

excess kilowatt-hours produced times the sum of the applicable energy charge plus monthly power cost adjustment clause (PCAC). Primary Metering Discount: Customers metered on the...

251

Stimulus funds and tax credits are creating tens of thousands...  

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

renewable energy projects create more jobs per kilowatt-hour than coal and natural gas power plants. 1 Building a strong clean technology sector can revitalize America's...

252

A study of membrane properties on air conditioning performance.  

E-Print Network (OSTI)

??Energy consumption due to heating, ventilation, and air conditioning amounts to 10-20% of global electrical energy usage. Air conditioning alone uses one trillion kilowatt hours (more)

Boyer, Elizabeth J.

2013-01-01T23:59:59.000Z

253

Annual Renewable Electricity Net Generation by Country (1980...  

Open Energy Info (EERE)

Net Generation by Country (1980 - 2009) Total annual renewable electricity net generation by country, 1980 to 2009 (available in Billion Kilowatt-hours or as Quadrillion Btu)....

254

Electricity Net Generation From Renewable Energy by Energy Use...  

Open Energy Info (EERE)

Electricity Net Generation From Renewable Energy by Energy Use Sector and Energy Source, 2004 - 2008 Provides annual net electricity generation (thousand kilowatt-hours) from...

255

NIST Atomic Physics Division - 2002: Strategic Focus 2  

Science Conference Proceedings (OSTI)

... are an estimated one billion plasma light sources in service in the United States, consuming an estimated 2 exajoules (600 billion kilowatt-hours) of ...

256

RFI Comments - Electric Trade Association  

Science Conference Proceedings (OSTI)

... More than 2,000 public power utilities provide over 15 percent of all kilowatt-hour sales of electricity to ultimate customers, and do business in every ...

2013-04-10T23:59:59.000Z

257

NIST Technology Innovation Program (TIP) Advisory Board ...  

Science Conference Proceedings (OSTI)

... standards. Q: Current kilowatt-hour meters are highly reliable and have long lives. Will new smart meters be as reliable? ...

2011-02-11T23:59:59.000Z

258

Experimentation and Measurement  

Science Conference Proceedings (OSTI)

... the following words: degree Fahrenheit; inch, foot, and mile; ounce, pound, and ton; pint, quart, and gallon; volt, ampere, and kilowatt hours; second ...

2012-09-08T23:59:59.000Z

259

How much carbon dioxide (CO 2 ) is produced when different ...  

U.S. Energy Information Administration (EIA)

Uranium fuel, nuclear reactors, generation, spent fuel. Total Energy. ... (CO 2) is produced per kilowatt-hour when generating electricity with fossil fuels?

260

Frequently Asked Questions (FAQs) - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Uranium fuel, nuclear reactors, generation, spent fuel. Total Energy. ... (CO 2) is produced per kilowatt-hour when generating electricity with fossil fuels?

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

NREL GIS Data: Continental United States Photovoltaic Low Resolution...  

Open Energy Info (EERE)

the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain. Units are in kilowatt hours...

262

NREL GIS Data: Continental United States Photovoltaic Low Resolution  

Open Energy Info (EERE)

the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain. Units are in kilowatt hours...

263

Short-Term Energy Outlook January 2003 - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Forecasting System database, and Office of Coal, Nuclear, Electric and Alternate Fuels. Table 10. U.S. Electricity Supply and Demand: Base Case (Billion Kilowatt-hours)

264

Data:8fcf95a4-8660-4fdb-8db5-e1b1902f6bc4 | Open Energy Information  

Open Energy Info (EERE)

to all municipal buildings and Departments of the Town of Ashburnham whose monthly energy usage requirement does not exceed 4000 kilowatt-hours. A customer may be...

265

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

to all municipal buildings and Departments of the Town of Ashburnham whose monthly energy usage requirement does not exceed 4000 kilowatt-hours. A customer may be...

266

Annual Renewable Electricity Consumption by Country (2005 - 2009...  

Open Energy Info (EERE)

Renewable Electricity Consumption by Country (2005 - 2009) Total annual renewable electricity consumption by country, 2005 to 2009 (available in Billion Kilowatt-hours or as...

267

Section 5.8 Electric Power Systems: Greening Federal Facilities...  

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

efficiency on site and pro- curing green power. UTILIZATION EFFICIENCY Electric utility bills include both energy charges in kilowatt-hours and power demand charges in...

268

Building Energy Software Tools Directory: Data Center Efficiency...  

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

if actual energy costs are different. Output Once data are input, the Data Center Energy Savings Calculator will show the expected energy savings in kilowatt-hours,...

269

How much electricity is used for lighting in the United States ...  

U.S. Energy Information Administration (EIA)

EIA estimates that in 2011, about 461 billion kilowatt-hours (kWh) of electricity were used for lighting by the residential and commercial sectors.

270

Sec  

Science Conference Proceedings (OSTI)

... Deliveries used to charge electric vehicles shall be indicated and recorded in megajoules (MJ) or kilowatt-hours (kWh) and decimal subdivisions ...

2012-12-07T23:59:59.000Z

271

Table of Contents  

Science Conference Proceedings (OSTI)

... K KPI Key Performance Indicators KSA Knowledge, Skills, and Abilities kWh SF Kilowatt Hours per Square Foot L LEED ...

2006-03-20T23:59:59.000Z

272

How much electricity does a typical nuclear power plant generate ...  

U.S. Energy Information Administration (EIA)

... (kWh). There were 65 nuclear power plants with 104 operating nuclear reactors that generated a total of 790 billion kilowatt-hours (kWh), ...

273

City of St Marys, Kansas (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Kansas (Utility Company) Kansas (Utility Company) Jump to: navigation, search Name City of St Marys Place Kansas Utility Id 17894 Utility Location Yes Ownership M NERC Location SPP NERC SPP Yes RTO SPP Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial -within city Commercial Commercial- Rural Commercial Large power-City Industrial Large power-Rural Industrial Residential-City All-Electrical Service Residential Residential-Rural All-Electrical Service Residential Small Commercial All Electric service Watt-Hour Meter - City Commercial Small Commercial All Electric service Watt-Hour Meter - Rural Commercial

274

Forecasting Techniques The Use of Hourly Model-Generated Soundings to Forecast Mesoscale Phenomena. Part I: Initial Assessment in Forecasting Warm-Season Phenomena  

Science Conference Proceedings (OSTI)

Since late 1995, NCEP has made available to forecasters hourly model guidance at selected sites in the form of vertical profiles of various forecast fields. These profiles provide forecasters with increased temporal resolution and greater ...

Robert E. Hart; Gregory S. Forbes; Richard H. Grumm

1998-12-01T23:59:59.000Z

275

Assessment of Power Quality Data in Smart Meters  

Science Conference Proceedings (OSTI)

Traditionally, most revenue meters have been electromechanical types that simply measure and display one parameter such as cumulative watt-hours. Electric utilities could most certainly benefit from the additional power quality (PQ) information afforded by a fleet of digital/solid-state smart meters in terms of new ways to visualize, understand, and quickly respond to PQ events. This report assesses potential opportunities for increasing the footprint of PQ data collection and applying the results in dis...

2011-11-15T23:59:59.000Z

276

After-hours power status of office equipment and energy use of miscellaneous plug-load equipment  

Science Conference Proceedings (OSTI)

This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the after-hours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of miscellaneous plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. For most types of miscellaneous equipment, we also estimated typical unit energy consumption in order to estimate total energy consumption of the miscellaneous devices within our sample. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings. The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential. This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from sixteen commercial buildings in California, Georgia, and Pennsylvania: four education buildings, two medical buildings, two large offices (> 500 employees each), three medium offices (50-500 employees each), and five small business offices (< 50 employees each). Two buildings are in the San Francisco Bay are a of California, nine (including the five small businesses) are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.

Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Marageret J.; Busch, John F.

2004-05-27T23:59:59.000Z

277

Heat pipe cooled reactors for multi-kilowatt space power supplies  

SciTech Connect

Three nuclear reactor space power system designs are described that demonstrate how the use of high temperature heat pipes for reactor heat transport, combined with direct conversion of heat to electricity, can result in eliminating pumped heat transport loops for both primary reactor cooling and heat rejection. The result is a significant reduction in system complexity that leads to very low mass systems with high reliability, especially in the power range of 1 to 20 kWe. In addition to removing heat exchangers, electromagnetic pumps, and coolant expansion chambers, the heat pipe/direct conversion combination provides such capabilities as startup from the frozen state, automatic rejection of reactor decay heat in the event of emergency or accidental reactor shutdown, and the elimination of single point failures in the reactor cooling system. The power system designs described include a thermoelectric system that can produce 1 to 2 kWe, a bimodal modification of this system to increase its power level to 5 kWe and incorporate high temperature hydrogen propulsion capability, and a moderated thermionic reactor concept with 5 to 20 kWe power output that is based on beryllium modules that thermally couple cylindrical thermionic fuel elements (TFEs) to radiator heat pipes.

Ranken, W.A.; Houts, M.G.

1995-01-01T23:59:59.000Z

278

Structural Composites Industries 4-kilowatt wind-system development. Phase I. Design and analysis executive summary  

DOE Green Energy (OSTI)

A 4 kW small wind energy conversion system (SWECS) has been designed for residential applications in which relatively low (10 mph) mean annual wind speeds prevail. The objectives were to develop such a machinee to produce electrical energy at 6 cents per kWh while operating in parallel with a utility grid or auxiliary generator. Extensive trade, optimization and analytical studies were performed in an effort to provide the optimum machine to best meet the objectives. Certain components, systems and manufacturing processes were tested and evaluated and detail design drawings were produced. The resulting design is a 31-foot diameter horizontal axis downwind machine rated 5.7 kW and incorporating composite blades; free-standing composite tower; and torque-actuated blade pitch control. The design meets or exceeds all contract requirements except that for cost of energy. The target 6 cents per kWh will be achieved in a mean wind speed slightly below 12 mph instead of the specified 10 mph.

Malkine, N.; Bottrell, G.; Weingart, O.

1981-05-01T23:59:59.000Z

279

75,000 KILOWATTS OF ELECTRICITY BY NUCLEAR FISSION AT THE HALLAM NUCLEAR POWER FACILITY  

SciTech Connect

For presentation at ASCE Convention in Reno, Nevada on Thursday, June 23, 1860. A description of the Hallam Nuclear Power Facslity is presented. The history of the project, program participants, site description, component development program, reaetor building, reactor structure, reactor core, sodium systems, instrumentation and control, fuel and component handling, auxsilary sustems, special design features, and advantages of sodium graphite reactor systems are discussed. (M.C.G.)

Gronemeyer, F.C.; Merryman, J.W.

1960-01-01T23:59:59.000Z

280

Stand for testing electrical machines up to 1,500 kilowatts used in railway traction  

Science Conference Proceedings (OSTI)

The test stand for electric motors is intended to test electrical machines used in railway traction. The stand is the result of a research contract with the realization and implementation practice in SC Remarul February 16 SA-Cluj. The stand is designed ...

Gabriel Popa; Cristinel Ilie; Ion Potarnuche; Horea Galos; Valerius Stanciu; Sorin Arsene

2010-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

A market and engineering study of a 3-kilowatt class gas turbine generator  

E-Print Network (OSTI)

Market and engineering studies were performed for the world's only commercially available 3 kW class gas turbine generator, the IHI Aerospace Dynajet. The objectives of the market study were to determine the competitive ...

Monroe, Mark A. (Mark Alan)

2003-01-01T23:59:59.000Z

282

Structural Composites Industries 4 kilowatt wind system development. Phase I: design and analysis, technical report  

DOE Green Energy (OSTI)

A 4 kW small wind energy conversion system (SWECS) has been designed for residential applications in which relatively low (10 mph) mean annual wind speeds prevail. The objectives were to develop such a machine to produce electrical energy at 6 cents per kWh while operating in parallel with a utility grid or auxiliary generator. The Phase I effort began in November, 1979 and was carried through the Final Design Review in February 1981. During this period extensive trade, optimization and analytical studies were performed in an effort to provide the optimum machine to best meet the objectives. Certain components, systems and manufacturing processes were tested and evaluated and detail design drawings were produced. The resulting design is a 31-foot diameter horizontal axis downwind machine rated 5.7 kW and incorporating the following unique features: Composite Blades; Free-Standing Composite Tower; Torque-Actuated Blade Pitch Control. The design meets or exceeds all contract requirements except that for cost of energy. The target 6 cents per kWh will be achieved in a mean wind speed slightly below 12 mph instead of the specified 10 mph.

Malkine, N.; Bottrell, G.; Weingart, O.

1981-05-01T23:59:59.000Z

283

The Development of a Control System for a 5 Kilowatt Free Piston Stirling Space Convertor  

Science Conference Proceedings (OSTI)

The new NASA Vision for Exploration, announced by President Bush in January 2004, proposes an ambitious program that plans to return astronauts to the moon by the 2018 time frame. A recent NASA study entitled 'Affordable Fission Surface Power Study' recommended a 40 kWe, 900 K, NaK-cooled, Stirling conversion for 2020 launch. Use of two of the nominal 5 kW converters allows the system to be dynamically balanced. A group of four dual-converter combinations that would yield 40 kWe can be tested to validate the viability of Stirling technology for space fission surface power systems. The work described in this paper deals specifically with the control system for the 5 kW convertor described in the preceding paragraph. This control system is responsible for maintaining piston stroke to a setpoint in the presence of various disturbances including electrical load variations. Pulse starting of the FSPE convertor is also an inherent part of such a control system. Finally, the ability to throttle the engine to match the required output power is discussed in terms of setpoint control. Several novel ideas have been incorporated into the piston stroke control strategy that will engender a stable response to disturbances in the presence of midpoint drift while providing useful data regarding the position of both the power piston and displacer.

Kirby, Raymond L. [Space Research Institute, 231 Leach Center, Auburn University, Auburn University, AL, USA 36849-5320 (United States); Vitale, N. [Foster-Miller, Inc., 431 New Karner Rd., Albany, NY, USA 12205 (United States)

2008-01-21T23:59:59.000Z

284

Photovoltaic power system tests on an 8-kilowatt single-phase line-commutated inverter  

SciTech Connect

A commercially available single-phase line-commutated inverter has been tested in a photovoltaic power system. Efficiency and power factor were measured as functions of solar array voltage and current. Also, the effects of input shunt capacitance and series inductance were determined. Tests were conducted from 15 to 75 percent of the 8 kW rated inverter input power. Measured efficiencies ranged from 76 percent (at 160 V and 8.0 A) to 88 percent (at 200 V and 18.7 A) at about 50 percent of rated inverter input power. Power factor ranged from 36 percent (at 160 V and 8.0 A) to 72 percent (at 200 V and 28.6 A).

Stover, J.B.

1978-02-01T23:59:59.000Z

285

Stat 503-1 Lecture 1 Mon. Aug. 22, 2011 Course Information and Policies [go over, office hours and midterm dates  

E-Print Network (OSTI)

.1.6) Study the relationships of body size and energy expenditure. Researchers measured fat-free body mass and 24-hour energy expenditure (repeated twice) for seven men. #12;2 Subject Energy- expenditure (in Kcal consumption and cholesterol levels (mg/dl). #12;3 - Study 2: Match subjects with gender, similar age

Xie, Jun

286

Campus Crusade for Christ sponsors the nationally-financed PORN NATION, a one-hour multimedia event of faith-based testimony by  

E-Print Network (OSTI)

Campus Crusade for Christ sponsors the nationally-financed PORN NATION, a one-hour multimedia event of the American media. Leahy supplements this PORN NATION show with lectures at Baptist churches on the "maintenance of sexual purity and integrity." PORN and the Chris ian NATION Wedge Is sex inherently SINFUL

Gleeson, Joseph G.

287

The Influence of Variations in Surface Treatment on 24-Hour Forecasts with a Limited Area Model, Including a Comparison of Modeled and Satellite-Measured Surface Temperatures  

Science Conference Proceedings (OSTI)

The effect of variations in surface parameters on 24-hour limited area forecasts has been examined on a day in July 1981. The vehicle for the study is a ten-level primitive equation model covering most of the continental United States. Variations ...

George Diak; Stacey Heikkinen; John Rates

1986-01-01T23:59:59.000Z

288

Instructor's Name Email Address Office Hours Alvarado, Jimena jimena@pdx.edu W 9:00-10:00am CH 368  

E-Print Network (OSTI)

:00-5:30pm CH 366 Olmsted, John (TA - Chris Harper) olmstedj@pdx.edu M 4:30-5:30pm CH 311 Spring 2011 Instructor Office Hours #12;Patka, Mazna (TA - Colleen Kidney) mpatka@pdx.edu TR 10:00-11:00am CH 367 Pickett

289

A Neural NetworksBased Fusion Technique to Estimate Half-Hourly Rainfall Estimates at 0.1 Resolution from Satellite Passive Microwave and Infrared Data  

Science Conference Proceedings (OSTI)

The purpose of this paper is to evaluate a new operational procedure to produce half-hourly rainfall estimates at 0.1 spatial resolution. Rainfall is estimated using a neural networks (NN)based approach utilizing passive microwave (PMW) and ...

Francisco J. Tapiador; Chris Kidd; Vincenzo Levizzani; Frank S. Marzano

2004-04-01T23:59:59.000Z

290

All electric homes in the United States  

SciTech Connect

This report presents information on the average annual costs for representative amounts of electricity to consumers in homes utilizing electricity exclusively for all purposes. Average annual electric bills, average charges per kilowatt-hour and average kilowatt-hour consumption for these homes are shown on a nationwide basis and for each State and individual communities throughout the United States.

1975-01-01T23:59:59.000Z

291

The InterHourly-Variability (IHV) Index of Geomagnetic Activity and its Use in Deriving the Long-term Variation of Solar Wind Speed  

E-Print Network (OSTI)

We describe the derivation of the InterHourly Variability (IHV) index of geomagnetic activity. The IHV-index for a geomagnetic element is mechanically derived from hourly values as the sum of the unsigned differences between adjacent hours over a seven-hour interval centered on local midnight. The index is derived separately for stations in both hemispheres within six longitude sectors using only local night hours. It is intended as a long-term index. Available data allows derivation of the index back well into the 19th century. On a time scale of a 27-day Bartels rotation, IHV averages for stations with corrected geomagnetic latitude less than 55 degrees are strongly correlated with midlatitude range indices. Assuming a constant calibration of the aa-index we find that observed yearly values of aa before the year 1957 are 2.9 nT too small compared to values calculated from IHV using the regression constants based on 1980-2004. We interpret this discrepancy as an indication that the calibration of the aa index is in error before 1957. There is no such problem with the ap index. Rotation averages of IHV are also strongly correlated with solar wind parameters (BV^2). On a time scale of a year combining the IHV-index and the recently-developed Inter-Diurnal Variability (IDV) index (giving B) allows determination of solar wind speed, V, from 1890-present. Over the ~120-year series, the yearly mean solar wind speed varied from a low of 303 km/s in 1902 to a high value of 545 km/s in 2003. The calculated yearly values of the product BV using B and V separately derived from IDV and IHV agree quantitatively with (completely independent) BV derived from the amplitude of the diurnal variation of the H component in the polar caps since 1926 and sporadically beyond.

Leif Svalgaard; Edward W. Cliver

2007-06-07T23:59:59.000Z

292

National Renewable Energy Laboratory  

E-Print Network (OSTI)

Wh kilowatt-hour LED light emitting diode MECO Maui Electric Company MWh megawatt-hour NAECA National-generation technologies, such as seawater air-conditioning (SWAC) and Light-emitting diodes (LEDs), as an addendum

293

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

DOE Green Energy (OSTI)

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

Smith, J.H.

1980-01-15T23:59:59.000Z

294

Baseline Report for the Fort Hood Army Base: Sept. 1, 2002 - Aug. 31, 2003  

E-Print Network (OSTI)

This report presents electricity, natural gas and cooling baselines for the thermal plant, buildings located in the 87000 block, III Corp building and other buildings that were determined to be part of the ESPC project at Ft. Hood. A baseline analysis is also presented for the natural gas consumption for the Ft. Hood Army base. The weather-independent analysis, which utilizes 24-hour profiles that were developed using ASHRAE??s 1093-RP diversity factor procedures are presented for data obtained from portable loggers attached to Watt-hour meters in selected buildings as well as data from the Main, West and North Substations.

Haberl, J. S.; Baltazar-Cervantes, J. C.; Liu, Z.; Claridge, D. E.; Turner, W. D.

2003-01-01T23:59:59.000Z

295

NERSC Hopper Hours Used Report  

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

72.3 04012013 3.520 95.6 03312013 3.613 98.1 03302013 3.242 88.1 03292013 3.456 93.9 03282013 3.562 96.7 03272013 3.519 95.6 03262013 3.449 93.7 03252013 3.370...

296

Regional load-curve models: QUERI's model long-run forecasts and sensitivity analysis. Volume 4. Final report. [Hourly demand in 32 US regions  

SciTech Connect

This report presents detailed forecasts of the hourly demand for electricity in 32 regions of the US through the year 2000. The forecasts are generated by a load curve model estimated by QUERI and described in Volume II of this report. Two primary sets of input assumptions for this model are utilized: one based on DRI's macro, regional and sectoral models is called the Baseline Scenario while the other, which is a projection of historical trends, is the Extrapolation Scenario. Under both assumptions, the growth rates of electricity are forecast to slow from historical levels. Load factors are generally projected to continue to decline; most regions are forecast to remain Summer peaking but this is rather sensitive to the choice of scenario. By considering other scenarios which are small perturbations of the Baseline assumptions, elasticities of average, peak and hourly loads are calculated. Different weather assumptions are also examined for the sensitivity of the load shapes to changes in the weather.

Engle, R.F.; Granger, C.W.J.; Ramanathan, R.

1981-09-01T23:59:59.000Z

297

Department of Homeland Security, Science and Technology Directorate...  

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

kWh kilowatt-hour kWm 2 kilowatts per square meter LCC life cycle cost LED light-emitting diode Li lithium Li-air lithium-air LiFePO4 lithium iron phosphate Li-ion lithium-ion...

298

LED ProspectsLED Prospects photometric units  

E-Print Network (OSTI)

for Standardization. #12;1602 8 "kW" means kilowatt. "kWh" means kilowatt-hour. "Light emitting diode (LED)" means a p, material used, and exciting current of the device. The output of a light-emitting diode may be in: (1

Pulfrey, David L.

299

Comparison of Average Heart Rates Determined by Surface ECG and 24-Hour Ambulatory ECG (Holter) in Dogs with Spontaneous Atrial Fibrillation  

E-Print Network (OSTI)

The purpose of this study was to compare the heart rates of dogs presenting with spontaneous atrial fibrillation (AF) by a surface electrocardiogram (ECG) and a 24 hour ambulatory ECG (Holter recording) in order to determine if there was a difference between these two diagnostic tests. Seven dogs with clinically stable, spontaneous AF were evaluated with a 6 lead surface ECG (MAC 5000, GE Milwaukee) and a Holter monitor (Monitor device: LifecardCE Delmar Reynolds Medical, Holter analysis:Aria Holter software). Statistical analyses, including t-tests and linear regression models, were performed using Stata data-analysis and statistical software. When heart rates (bpm) determined by both diagnostic testing methods were compared individually and among all of the dogs, no statistically significant differences were found. Complete data for analysis were available in 4 of the 7 dogs. This study demonstrates that despite the potential superiority of Holter monitoring relative to the surface ECG for the diagnosis of cardiac arrhythmias, average heart rates were not statistically different in these 4 dogs with controlled AF. Therefore, the average HR determined by surface ECG in the hospital may be as reliable as the average HR determined by Holter monitoring in dogs with well controlled spontaneous AF.

Perea Lugo, Adriana

2010-12-01T23:59:59.000Z

300

Economic Assessment of Electric-Drive Vehicle Operation in California and the United States  

E-Print Network (OSTI)

sense but lower costs per kilowatt-hour (kWh) when expressedthat battery costs below about $500US per kWh can lead toif PHEV battery costs could reach $200US per kWh, then PHEVs

Lidicker, Jeffrey R.; Lipman, Timothy E.; Shaheen, Susan A.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Data:Aef33206-fa70-4806-80b4-6a12b6f671cb | Open Energy Information  

Open Energy Info (EERE)

this increased cost is not included in OEC's base rate of .08728 per kilo-watt hour (kWh), we collect those increased costs through the PPA. Source or reference: http:...

302

Microsoft Word - EXT-01-01522-Prius-Final.doc  

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

vehicle. Unlike electric vehicles, where a kilowatt- hour meter can accurately measure energy flows, the energy use of a Prius type of HEV (non-grid connected) is determined by...

303

Field Operations Program Toyota Prius Hybrid Electric Vehicle...  

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

vehicle. Unlike electric vehicles, where a kilowatt- hour meter can accurately measure energy flows, the energy use of a Prius type of HEV (non-grid connected) is determined by...

304

NREL: Concentrating Solar Power Research - Particle Receiver...  

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

Bed-Novel Components to Overcome Existing Barriers Advancing concentrating solar power (CSP) systems to the target cost of 0.06 per kilowatt-hour, set by the U.S. Department of...

305

San Antonio's City Lights program | Department of Energy  

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

program, this design shop is saving an estimated 25,500 kilowatt-hours and 2,000 on electricity bills each year. | Photo Credit: City of San Antonio Date taken: Tue,...

306

Clean Energy Production Tax Credit (Personal) (Maryland) | Open...  

Open Energy Info (EERE)

to 0.85 cents per kilowatt-hour (0.0085kWh) against the state income tax, for a five-year period, for electricity generated by eligible resources. The credit for electricity...

307

1999 FEMP Accomplishments Report  

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

must all be con- sidered. In total they consume almost 54 billion kilowatt-hours of electricity each year, costing taxpayers more than 3.1 billion annually. Clearly, the...

308

American Indian Complex to Cool Off Using Ice Storage System...  

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

main complex will use an ice storage system estimated to save 644,000 kilowatt hours of electricity a year. "Certainly it was a choice to save money in the long run," says Nathan...

309

Clean Energy Production Tax Credit (Corporate) (Maryland) | Open...  

Open Energy Info (EERE)

to 0.85 cents per kilowatt-hour (0.0085kWh) against the state income tax, for a five-year period, for electricity generated by eligible resources. The credit for electricity...

310

Data:55f5de30-ba3f-4287-a3ce-6527e8634615 | Open Energy Information  

Open Energy Info (EERE)

and billed separately, with charging of batteries of on-road electric vehicles. The battery charged must have a capacity of not less than 4 kilowatt hours, and the electric...

311

Data:D5f0a9c7-a04b-4dc7-8cd9-5d8084a273f5 | Open Energy Information  

Open Energy Info (EERE)

applicable only for commercial charging of batteries of on-road electric vehicles. The battery charged must have a capacity of not less than 4 kilowatt hours, and the electric...

312

Table 14b. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

b. Average Electricity Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars, cents per kilowatt-hour) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002...

313

Table 14b. Average Electricity Prices, Projected vs. Actual  

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

b. Average Electricity Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars, cents per kilowatt-hour)" ,1993,1994,1995,1996,1997,1998,1999,2000,200...

314

How much coal, natural gas, or petroleum is used to generate a ...  

U.S. Energy Information Administration (EIA)

How much coal, natural gas, or petroleum is used to generate a kilowatt-hour of electricity? The amount of fuel used to generate electricity depends on the efficiency ...

315

NREL: Education Center - A Model of Energy-Efficient Design  

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

4,000 kilowatt hours per month comes from the Windsource program of the local utility, Xcel Energy of Colorado. Large wind turbines sited near the Wyoming border generate the...

316

Page not found | Department of Energy  

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

Fund, Minnesota offers a payment of 1.5 per kilowatt-hour (kWh) for on-farm biogas facilities. Previously, this incentive also offered payments to... http:energy.gov...

317

Appliances and Commercial Equipment Standards  

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

is necessary or appropriate to carry out the purposes of EPCA, and the average U.S. household energy use for portable ACs is likely to exceed 100 kilowatt-hours (kWh) per...

318

Appliances and Commercial Equipment Standards  

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

as a covered product is necessary for the purposes of EPCA; and The average annual per-household energy use by products of such type is likely to exceed 100 kilowatt-hours (kWh)...

319

Appliances and Commercial Equipment Standards  

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

is necessary or appropriate to carry out the purposes of EPCA, and the average U.S. household energy use for computers is likely to exceed 100 kilowatt-hours (kWh) per year....

320

Solar | Department of Energy  

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

has been reduced to 0.40 per equivalent kilowatt-hour (kWh), and incentives for all non-solar renewable energy technologies have been suspended. ''''' July 12, 2013 System...

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Data:Cb22c852-6501-4f23-bfc2-897ee668be71 | Open Energy Information  

Open Energy Info (EERE)

by the Customer: The City shall credit the Customer in kilowatt-hours (kWH) at a ratio of 1:1 for any excess production of their generating facility that exceeds the...

322

United States  

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

The energy made available for a contract year shall be scheduled monthly such that the maximum amount scheduled in any month shall not exceed 240 hours per kilowatt of the...

323

Energy Basics: Tidal Energy  

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

the cost per kilowatt-hour of tidal power is not competitive with conventional fossil fuel power. Contacts | Web Site Policies | U.S. Department of Energy | USA.gov Content Last...

324

Laoratories for the 21st Century: Energy Analysis  

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

has the mildest climate and the lowest annual energy cost; Atlanta has the lowest total energy use. Electricity rates of 0.03 per kilowatt-hour (kWh), 7kW on-peak, and 4...

325

Solar | Department of Energy  

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

install qualifying wind and solar electricity generating systems. Qualifying grid-tied solar and wind energy systems are eligible for a 0.20 per kilowatt-hour (kWh) production...

326

Data:53040aab-2e38-48c5-b7d8-d41427d5e15b | Open Energy Information  

Open Energy Info (EERE)

in compliance with the Department's Rules. Applicable to service with an average consumption exceeding 500,000 kilowatt-hours per month and served from the Department's 4.8kV...

327

Page not found | Department of Energy  

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

Development Fund, Minnesota offers a payment of 1.5 per kilowatt-hour (kWh) for on-farm biogas facilities. Previously, this incentive also offered payments to... http:...

328

Minnesota | Department of Energy  

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

Development Fund, Minnesota offers a payment of 1.5 per kilowatt-hour (kWh) for on-farm biogas facilities. Previously, this incentive also offered payments to wind and...

329

CX-002298: Categorical Exclusion Determination | Department of...  

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

Energy, National Energy Technology Laboratory Install 6.58 kilowatt hour (kWh) solar panel system to provide power to a new water tank. A total of 28 solar panels will be...

330

Data:16375918-73b3-4aeb-8d02-1b18ca8327fc | Open Energy Information  

Open Energy Info (EERE)

computed by taking the net excess kilowatt-hours produced times the sum of the applicable energy charge plus monthly power cost adjustment clause (PCAC). This rate will be applied...

331

Data:6780bd61-c4a2-4636-9876-38f8850cd09d | Open Energy Information  

Open Energy Info (EERE)

computed by taking the net excess kilowatt-hours produced times the sum of the applicable energy charge plus monthly power cost adjustment clause (PCAC). This rate will be applied...

332

Data:Cfb65bd5-e27e-43a2-95fe-5953ee6a0806 | Open Energy Information  

Open Energy Info (EERE)

computed by taking the net excess kilowatt-hours produced times the sum of the applicable energy charge plus monthly power cost adjustment clause (PCAC). This rate will be applied...

333

Data:9cc50fc3-fc25-48ba-8be4-aa2423b7c7a2 | Open Energy Information  

Open Energy Info (EERE)

computed by taking the net excess kilowatt-hours produced times the sum of the applicable energy charge plus monthly power cost adjustment clause (PCAC). This rate will be applied...

334

Data:2a5c45f2-14f4-42d8-8871-0d105e1b0a9c | Open Energy Information  

Open Energy Info (EERE)

computed by taking the net excess kilowatt-hours produced times the sum of the applicable energy charge plus monthly power cost adjustment clause (PCAC). This rate will be applied...

335

Data:396f871f-f63a-48cf-81ad-2c0973c66ced | Open Energy Information  

Open Energy Info (EERE)

computed by taking the net excess kilowatt-hours produced times the sum of the applicable energy charge plus monthly power cost adjustment clause (PCAC). This rate will be applied...

336

SunShot Initiative: Making Solar Energy Affordable for All Americans (Fact Sheet)  

SciTech Connect

Through SunShot, DOE supports efforts by private companies, universities, and national laboratories to drive down the cost of solar electricity to $0.06 per kilowatt-hour, making solar energy affordable for more American families and businesses.

Not Available

2013-10-01T23:59:59.000Z

337

ANSI/ASHRAE/IESNA Standard 90.1-2010 Final Determination Quantitative...  

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

kilowatt-hour CBECS Commercial Building Energy Consumption Survey COP coefficient of performance DCV demand-control(led) ventilation DDC direct digital control(s) DOE U.S....

338

New EPA Fuel Economy and Environment Label - Electric Vehicles  

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

you compare to gasoline vehicles Kilowatt-hours per 100 miles to help you estimate fuel costs Driving Range Driving range is an estimate of the distance the vehicle can travel on...

339

New EPA Fuel Economy and Environment Label - Plug-in Hybrid Electric...  

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

you compare to gasoline vehicles Kilowatt-hours per 100 miles to help you estimate fuel costs Driving Range Driving range estimates are provided for all-electric operation and...

340

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

and billed separately, with charging of batteries of on-road electric vehicles. The battery charged must have a capacity of not less than 4 kilowatt hours, and the electric...

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Alternative Fuels Data Center: Nevada Laws and Incentives for...  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

AFVs include vehicles propelled to a significant extent by electricity from a battery that has a capacity of at least four kilowatt hours and can be recharged from an...

342

Alternative Fuels Data Center: Plug-in Electric Vehicle (PEV...  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

propelled to a significant extent by an electric motor that draws electricity from a battery with a capacity of at least four kilowatt hours. To operate in HOV lanes, PEV owners...

343

Alternative Fuels Data Center: Maryland Laws and Incentives for...  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

propelled to a significant extent by an electric motor that draws electricity from a battery with a capacity of at least four kilowatt hours. To operate in HOV lanes, PEV owners...

344

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

only for residential charging of batteries of on-road electric vehicles. The battery charged must have a capacity of not less than 4 kilowatt hours, and the electric...

345

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

applicable only for commercial charging of batteries of on-road electric vehicles. The battery charged must have a capacity of not less than 4 kilowatt hours, and the electric...

346

Data:4a7ce33d-f605-49af-9655-2f39246c3bf3 | Open Energy Information  

Open Energy Info (EERE)

for either the purchase of enough renewable energy credits (RECs) to match 100% of the energy usage at the facility every month, or for the purchase of 1000 kilowatt-hour (kWh)...

347

Alliant Energy Interstate Power and Light - Business and Farm...  

Open Energy Info (EERE)

of either the estimated first year output in kilowatt hours (kWh) or the optimal annual energy usage of the facility in kWh as follows: Standard PV: The lesser of estimated first...

348

Data:B9e51668-f484-4276-abd6-51a86e75e0fd | Open Energy Information  

Open Energy Info (EERE)

for either the purchase of enough renewable energy credits (RECs) to match 100% of the energy usage at the facility every month, or for the purchase of 1000 kilowatt-hour (kWh)...

349

An Analysis of Measures to Reduce the Life-Cycle Energy Consumption and Greenhouse Gas Emissions of California's Personal Computers  

E-Print Network (OSTI)

2002). Estimating Carbon Dioxide Emissions Factors for thefactors for California of 9.2 megajoules per kilowatt-hour (MJ/kWh) and 0.4 kilograms of carbon dioxide

Horvath, A; Masanet, Eric

2007-01-01T23:59:59.000Z

350

Energy Replacement Generation Tax Exemption (Iowa) | Open Energy...  

Open Energy Info (EERE)

(0.0006) per kilowatt-hour (kWh) on various forms of electricity generated within the state. This tax is imposed in lieu of a property tax on generation facilities. Under the...

351

Solar | Department of Energy  

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

for solar water heating has been reduced to 0.40 per equivalent kilowatt-hour (kWh), and incentives for all non-solar renewable energy technologies have been suspended. ''''' Prev...

352

Draft NIST Handbook 130 Method-of-Sale Regulation for ...  

Science Conference Proceedings (OSTI)

... electricity kept, offered, or exposed for sale and sold at retail as a vehicle fuel shall be in units in terms of the megajoule (MJ) or kilowatt-hour (kWh). ...

2012-12-07T23:59:59.000Z

353

Solar | Department of Energy  

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

The rebate amount is calculated as 0.40 times the estimated annual kilowatt-hour (kWh) savings (the Oregon Department of Energy provides the estimates for approved systems)....

354

Guide for the Use of the International System of Units (SI)  

Science Conference Proceedings (OSTI)

... This possibility is reflected in the common practice of using the symbol kWh rather than kW h or kW h for the kilowatt hour. ...

355

Solar | Department of Energy  

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

an incentive payment based on the system's production on a dollar per kilowatt-hour (kWh) basis. SNAP producers also net meter and are connected to the utility's electrical...

356

City of Houston - Green Power Purchasing | Department of Energy  

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

a 5-year contract with Reliant Energy for up to 80 MW or 700 million kilowatt-hours (kWh) annually of renewable energy credits (RECs). These RECs will be generated almost...

357

City of Dallas - Green Energy Purchasing | Department of Energy  

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

City of Dallas finalized purchase contracts for more than 333 million kilowatt-hours (kWh) of green electricity for city facilities during 2008. The city has elected to continue...

358

EPA_T1542D4488_SCTR_Supermarket  

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

Supermarkets On average, supermarkets in the United States use around 50 kilowatt-hours (kWh) of electricity and 50 cubic feet of natural gas per square foot per year - an average...

359

Net Metering | Department of Energy  

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

metering. Independent systems with retail sales of less than 5,000,000 kilowatt-hours (kWh) are exempt from offering net metering. Utilities that generate 100% of electricity...

360

Presidential Permit Holders - Annual Reports | Department of...  

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

border. During the calendar year just completed, 300,000,000 kilowatt-hours (kwh) are imported from Canada across this line. Utility A arranged for the purchase of...

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Oregon | Department of Energy  

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

Energy Trust for approval. Incentive levels are as follows: * 5.00 per kilowatt-hour (kWh) for systems with estimated annual energy output of 9,500 kWh or less July 12, 2013...

362

Microsoft Word - 2011 fuel costs per mile w-header.doc  

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

of driving an electric vehicle depends on the cost of electricity per kilowatt-hour (kWh) and the energy efficiency of the vehicle. For example, to determine the energy cost...

363

Arizona | Department of Energy  

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

for solar water heating has been reduced to 0.40 per equivalent kilowatt-hour (kWh), and incentives for all non-solar renewable energy technologies have been suspended....

364

To what country does the U.S. export the most coal? - FAQ - U.S ...  

U.S. Energy Information Administration (EIA)

How many and what kind of power plants are there in the United States? How much coal, natural gas, or petroleum is used to generate a kilowatt-hour of electricity?

365

About Upper Great Plains Regional Office  

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

The Upper Great Plains Region carries out Western's mission in Montana, North Dakota, South Dakota, Nebraska, Iowa, and Minnesota. We sell more than 9 billion kilowatt-hours of...

366

United States Office of Air and Radiation EPA 402-R-96-017 Environmental Protection Office of Solid Waste and  

E-Print Network (OSTI)

potassium kBg kilobecquerels kwH kilowatt hours LED light emitting diode LIE Long Island Expressway Linac trichloroethylene TCLP toxicity characteristic leaching procedure TKN Total Kjeldahl nitrogen TLD thermoluminescent

367

10th North American Waste to Energy Conference NAWTEC10-1007  

E-Print Network (OSTI)

: GLOSSARY kBg kilobecquerels kwH kilowatt hours LED light emitting diode LIE Long Island Expressway LINAC trichloroethylene TCLP toxicity characteristic leaching procedure TLD thermoluminescent dosimeter TSCA Toxic

Columbia University

368

Electric District No. 3 - Solar Rebate Program | Department of...  

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

and other details are available through the link above. For billing purposes, customer energy usage in kilowatt hours (kWh) will be netted with the customer generation kWh each...

369

From comfort to kilowatts: An integrated assessment of electricity conservation in Thailand's commercial sector  

SciTech Connect

Thailand serves as a case study of the potential to conserve electricity in the fast-growing commercial sectors of the tropical developing world. We performed a field study of over 1100 Thai office workers in which a questionnaire survey and simultaneous physical measurements were taken. Both air-conditioned and non-air-conditioned buildings were included. We analyzed Thai subjective responses on the ASHRAE, McIntyre and other rating scales, relating them to Effective Temperature, demographics, and to rational indices of warmth such as PMV and TSENS. These results suggest that without sacrificing comfort, significant energy conservation opportunities exist through the relaxation of upper space temperature limits. To investigate the potential for conserving energy in a cost-effective manner, we performed a series of parametric simulations using the DOE-2.1D computer program on three commercial building prototypes based on actual buildings in Bangkok; an office, a hotel, and a shopping center. We investigated a wide range of energy conservation measures appropriate for each building type, from architectural measures to HVAC equipment and control solutions. The best measures applied in combination into high efficiency cases can generate energy savings in excess of 50%. Economic analyses performed for the high efficiency cases, resulted in costs of conserved energy of less than and internal rates of return in excess of 40%. Thermal cool storage, cogeneration, and gas cooling technology showed promise as cost-effective electric load management strategies.

Busch, J.F. Jr.

1990-08-01T23:59:59.000Z

370

From comfort to kilowatts: An integrated assessment of electricity conservation in Thailand's commercial sector  

SciTech Connect

Thailand serves as a case study of the potential to conserve electricity in the fast-growing commercial sectors of the tropical developing world. A field study of over 1,100 Thai office workers was performed in which a questionnaire survey and simultaneous physical measurements were taken. Both air-conditioned and non-air-conditioned buildings were included. Thai subjective responses were analyzed on the ASHRAE, McIntyre, and other rating scales, relating them to Effective Temperature, demographics, and to rational indices of warmth such as PMV and TSENSA. These results suggest that without sacrificing comfort, significant energy conservation opportunities exist through the relaxation of upper space temperature limits. To investigate the potential for conserving energy in a cost-effective manner, a series of parametric simulations were performed using the DOE-2.1D computer program for three commercial building prototypes in Bangkok: an office, a hotel, and a shopping center. A wide range of energy conservation measures appropriate for each building type was studied. Drawing on the building energy-simulation results, impacts on the Thai electric utility were evaluated under various conservation scenarios.

Busch, J.F. Jr.

1990-01-01T23:59:59.000Z

371

Development of a 2-kilowatt high-reliability wind machine. Phase I. Design and analysis. Volume II. Technical report  

Science Conference Proceedings (OSTI)

A high reliability wind machine rated for 2 kW at 9 m/s has been designed to be cost-effective for remote site use. To meet or exceed environmental conditions as specified in Contract PF64410F, the resulting design defines a rugged, relatively simple wind machine. Rigorous fatigue analysis for structural components and development of redundant systems for electrical components led to an expected mean time between failures of 12.35 years. Approximately one year into the research and development program a completed design meeting contract stipulations is being submitted to the contract buyer. The design is for a horizontal axis, down-wind machine with two wooden blades spanning 5 meters diameter. Positive rotor speed control is accomplished through a centrifugally governed variable pitch stalling rotor. Design merits have been confirmed through dynamic truck testing.

Drake, W.; Clews, H.; Cordes, J.; Johnson, B.; Murphy, P.

1980-01-01T23:59:59.000Z

372

Development of a 2-kilowatt high-reliability wind machine. Phase I. Design and analysis. Volume I. Executive summary  

Science Conference Proceedings (OSTI)

A high reliability wind machine rated for 2 kW at 9 m/s has been designed to be cost-effective for remote site use. To meet or exceed environmental conditions as specified in Contract PF64410F, the resulting design defines a rugged, relatively simple wind machine. Rigorous fatigue analysis for structural components and development of redundant systems for electrical components led to an expected mean time between failures of 12.35 years. Approximately one year into the research and development program, a completed design meeting contract stipulations is being submitted to the contract buyer. The design is for a horizontal axis, down-wind machine with two wooden blades spanning 5 meters diameter. Positive rotor speed control is accomplished through a centrifugally governed variable pitch, stalling rotor. Design merits have been confirmed through dynamic truck testing.

Drake, W.; Clews, H.; Cordes, J.; Johnson, B.; Murphy, P.

1980-01-01T23:59:59.000Z

373

From comfort to kilowatts: An integrated assessment of electricity conservation in Thailand's commercial sector  

SciTech Connect

This document contains Appendix A, B, and C. In Appendix A, we are working as part of a research project with King Monkut's Institute of Technology, Thonburi, and the University of California, Berkeley (USA) to determine how people respond to the thermal environment inside buildings. We have prepared a short questionnaire which will survey thermal comfort. Our plan is to survey each building during each of three seasons over this year (e.g. hot, rainy, and cool seasons). Appendix B contains supporting technical documentation on conservation potential and Appendix C contains documentation on utility impacts.

Busch, J.F. Jr.

1990-08-01T23:59:59.000Z

374

Experience and assessment of the DOE-NASA Mod-1 2000-kilowatt wind turbine generator at Boone, North Carolina  

SciTech Connect

The broad objectives of the Mod-1 program are defined, including the background information leading to the inception of the program. Activities on the Mod-1 program began in 1974, and the turbine was dedicated in July 1979. Rated power generation was accomplished in February 1980. The Mod-1 wind turbine is described in this report. In addition to the steel blade operated on the wind turbine, a composite blade was designed and manufactured. During the early phase of the manufacturing cycle a Mod-1A configuration was designed that identified concepts such as partial span control, a soft tower, and upwind teetered rotors that have been incorporated in second- and third-generation industry designs. The Mod-1 electrical system performed as designed, with voltage flicker characteristics within acceptable utility limits. Power output versus wind speed has equaled or exceeded design predictions. The wind turbine control system was operated successfully at the site and remotely from the utility dispatcher's office in Lenior, NC. During wind turbine operations, television interference was experienced by the local residents. As a consequence, operations were restricted. Although not implemented, two potential solutions were identified. In addition to television interference, a few local residents complained about objectionable sound, particularly the thump as the blade passed behind the tower. To eliminate the residents' objections, the sound generation level was reduced by 10 dB by reducing the rotor speed from 35 rpm to 23 rpm. During January 1981, bolts in the drive train fractured. A solution has been identified but not implemented as yet. During the past 2 years the public reaction toward the Mod-1 Turbine program has been overwhelmingly favorable. This includes the vast majority of Boone residents.

Collins, J.L.; Shaltens, R.K.; Poor, R.H.; Barton, R.S.

1982-04-01T23:59:59.000Z

375

This report is mandatory under the Federal Energy Administration...  

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

Kilowatts Peak Kilowatts Peak Kilowatts Peak Kilowatts Peak Kilowatts (1) Cells in inventory carried forward from last year (2) Cells manufactured during reporting year (3)...

376

Please cite this article in press as: R.E. Edwards, et al., Predicting future hourly residential electrical consumption: A machine learning case study, Energy Buildings (2012), doi:10.1016/j.enbuild.2012.03.010  

E-Print Network (OSTI)

-offs in the building design process, sizing components (e.g., HVAC) for a specific building, optimizing control systemsPlease cite this article in press as: R.E. Edwards, et al., Predicting future hourly residential.03.010 ARTICLE IN PRESSG Model ENB-3661; No.of Pages13 Energy and Buildings xxx (2012) xxx­xxx Contents lists

Parker, Lynne E.

377

Advanced Petroleum-Based Fuels - Diesel Emissions Project (APBF-DEC): 2,000-Hour Performance of a NOx Adsorber Catalyst and Diesel Particle Filter System for a Medium-Duty, Pick-Up Diesel Engine Platform; Final Report  

Science Conference Proceedings (OSTI)

Presents the results of a 2,000-hour test of an emissions control system consisting of a nitrogen oxides adsorber catalyst in combination with a diesel particle filter, advanced fuels, and advanced engine controls in an SUV/pick-up truck vehicle platform.

Not Available

2007-03-01T23:59:59.000Z

378

More Than 410,000 Hours of Real-World Fuel Cell System Operation Have Been Analyzed by NRELs Technology Validation Team (Fact Sheet), Hydrogen and Fuel Cell Technical Highlights (HFCTH), NREL (National Renewable Energy Laboratory)  

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

0362 * February 2011 0362 * February 2011 More Than 410,000 Hours of Real-World Fuel Cell System Operation Have Been Analyzed by NREL's Technology Validation Team Team: Jennifer Kurtz, Keith Wipke, Sam Sprik, and Todd Ramsden Accomplishment: NREL analyzed more than 410,000 hours of real-world fuel cell operation from more than 470 government-funded demonstrations in light-duty vehicle, bus, material handling, and backup power markets. Context: NREL's analyses validates the technology in real-world applications, reports on the technology status, and facilitates the development of fuel cell technologies, manufacturing, and operations in strategic markets-material handling equipment, backup power, and stationary power-where fuel cells can compete with conventional technologies.

379

Validation of technetium-99m stannous pyrophosphate myocardial scintigraphy for diagnosing acute myocardial infarction more than 48 hours old when serum creatine kinase-MB has returned to normal  

SciTech Connect

Determination of lactic dehydrogenase (LDH) isoenzymes is the current method of choice for diagnosing acute myocardial infarction (AMI) greater than 48 hours old. However, other causes of enzyme elevation make the availability of an alternate method of diagnosis worthwhile. Accordingly, serial technetium-99m pyrophosphate scintigrams were obtained in 61 patients with transmural AMI and in 46 patients with subendocardial AMI. Imaging was performed in all 107 patients at the time creatine kinase isoenzyme (CK-MB) was present 37 +/- 18 hours (range 12 to 72) after the onset of AMI, and at the time CK-MB was absent 106 +/- 34 hours (range 48 to 168) after the onset of AMI. At the time CK-MB was absent, the sensitivity using either a regional or a diffuse positive scintigram was 95% (58 of 61 patients) for transmural AMI and 65% (30 of 46 patients) for subendocardial AMI. The sensitivity using a regional positive scintigram was 82% (50 of 61 patients) for transmural AMI and 37% (17 of 46 patients) for subendocardial AMI. The sensitivity using a high-grade regional positive scintigram was 36% (22 of 61 patients) for transmural AMI and 11% (5 of 46 patients) for subendocardial AMI. The specificity was 70% (143 of 204 patients) for either a regional or a diffuse abnormality, 92% (187 of 204 patients) for a regional abnormality, and 100% (204 of 204 patients) for a high-grade regional abnormality. Thus, pyrophosphate scintigraphy is useful in confirming the diagnosis of AMI, particularly transmural, greater than 48 hours old and when CK-MB has returned to normal. A positive scintigram with a high-grade regional abnormality is specific for a recent AMI and may be contributory in establishing the diagnoses when LDH isoenzymes are inconclusive.

Olson, H.G.; Lyons, K.P.; Butman, S.; Piters, K.M.

1983-08-01T23:59:59.000Z

380

ELECTRICAL LOAD ANTICIPATOR AND RECORDER  

DOE Patents (OSTI)

A system is described in which an indication of the prevailing energy consumption in an electrical power metering system and a projected power demand for one demand in terval is provided at selected increments of time within the demand interval. Each watt-hour meter in the system is provided with an impulse generator that generates two impulses for each revolution of the meter disc. In each demand interval, for example, one half-hour, of the metering system, the total impulses received from all of the meters are continuously totaled for each 5-minute interval and multiplied by a number from 6 to 1 depending upon which 5- minute interval the impulses were received. This value is added to the total pulses received in the intervals preceding the current 5-minute interval within the half-hour demand interval tc thereby provide an indication of the projected power demand every 5 minutes in the demand interval.

Werme, J.E.

1961-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Definition: Clock Hour | Open Energy Information  

Open Energy Info (EERE)

unless specifically noted.1 References Glossary of Terms Used in Reliability Standards An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline...

382

Symposium Hours, Posters, and Exhibitor Directory  

Science Conference Proceedings (OSTI)

... 1. Analysis of a Fatal Wind-Driven Fire in a ... Evident 739 Brooks Mill Road Union Hall, VA ... University 100 Campus Circle Owings Mills, MD 21117 ...

2012-11-28T23:59:59.000Z

383

EIA Reporting Proposal: Balancinggy Authorit y Hourly ...  

U.S. Energy Information Administration (EIA)

EIA Mission and Authority Mission The U.S. Energy Information Administration (EIA) is the statistical and analytical agency within the U.S. Department

384

Gate Hours & Services | Stanford Synchrotron Radiation Lightsource  

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

from sunset to 6 am and on all shifts during weekends and holidays. Directions and Maps: Directions and maps are available from Security or the web. Emergency Assistance: In...

385

Final Scientific/Technical Report to the U.S. Department of Energy on NOVA's Einstein's Big Idea (Project title: E-mc2, A Two-Hour Television Program on NOVA)  

Science Conference Proceedings (OSTI)

Executive Summary A woman in the early 1700s who became one of Europes leading interpreters of mathematics and a poor bookbinder who became one of the giants of nineteenth-century science are just two of the pioneers whose stories NOVA explored in Einsteins Big Idea. This two-hour documentary premiered on PBS in October 2005 and is based on the best-selling book by David Bodanis, E=mc2: A Biography of the Worlds Most Famous Equation. The film and book chronicle the scientific challenges and discoveries leading up to Einsteins startling conclusion that mass and energy are one, related by the formula E = mc2.

Susanne Simpson

2007-05-07T23:59:59.000Z

386

Data:Ea81ac41-dc63-497c-b35a-f4008f2cba2c | Open Energy Information  

Open Energy Info (EERE)

Ea81ac41-dc63-497c-b35a-f4008f2cba2c Ea81ac41-dc63-497c-b35a-f4008f2cba2c 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: City of Elkhorn, Wisconsin (Utility Company) Effective date: 2012/07/01 End date if known: Rate name: General Service-Optional Time-of-Day Three Phase Sector: Commercial Description: All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The current cost per kilowatt-hour of energy billed is equal to the cost of power purchased for the most recent month, divided by the kilowatt-hours of energy sold. The monthly adjustment (rounded to the nearest one one-hundredth of a cent) is equal to the current cost less the base cost. The base cost of power (U) is $0.0785 per kilowatt-hour.

387

Data:2d8b4b0b-a473-4dd8-9bf4-c218fdd36554 | Open Energy Information  

Open Energy Info (EERE)

b4b0b-a473-4dd8-9bf4-c218fdd36554 b4b0b-a473-4dd8-9bf4-c218fdd36554 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: City of Elkhorn, Wisconsin (Utility Company) Effective date: 2012/07/01 End date if known: Rate name: General Service-Optional Time-of-Day Three Phase with Parallel Generation(20 kW or less)-Net Energy Billing Sector: Commercial Description: All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The current cost per kilowatt-hour of energy billed is equal to the cost of power purchased for the most recent month, divided by the kilowatt-hours of energy sold. The monthly adjustment (rounded to the nearest one one-hundredth of a cent) is equal to the current cost less the base cost. The base cost of power (U) is $0.0785 per kilowatt-hour.

388

Data:0b4653de-8333-4716-9b7d-d6813a2dcbbe | Open Energy Information  

Open Energy Info (EERE)

8333-4716-9b7d-d6813a2dcbbe 8333-4716-9b7d-d6813a2dcbbe 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: Village of Muscoda, Wisconsin (Utility Company) Effective date: 2010/10/26 End date if known: Rate name: Cp-2 Large Power Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0844 per kilowatt-hour.

389

Data:33c786a5-9679-4636-beef-a60d94c238eb | Open Energy Information  

Open Energy Info (EERE)

a5-9679-4636-beef-a60d94c238eb a5-9679-4636-beef-a60d94c238eb 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: City of New Lisbon, Wisconsin (Utility Company) Effective date: 2008/05/12 End date if known: Rate name: Cp-2 Large Power Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0523 per kilowatt-hour.

390

Data:A27f5de2-5942-4365-aaff-608d3fcc54f8 | Open Energy Information  

Open Energy Info (EERE)

f5de2-5942-4365-aaff-608d3fcc54f8 f5de2-5942-4365-aaff-608d3fcc54f8 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: Oconto Falls Water & Light Comm Effective date: 2010/10/13 End date if known: Rate name: Gs-1 General Service Three Phase Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0847 per kilowatt-hour.

391

Data:Ce33c7a1-9170-41cf-836f-be8176ec08d4 | Open Energy Information  

Open Energy Info (EERE)

a1-9170-41cf-836f-be8176ec08d4 a1-9170-41cf-836f-be8176ec08d4 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: Village of Muscoda, Wisconsin (Utility Company) Effective date: 2010/10/26 End date if known: Rate name: Gs-1 General Service Three Phase Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0844 per kilowatt-hour.

392

Data:5288a05b-d71a-4661-ae85-9afaacea0971 | Open Energy Information  

Open Energy Info (EERE)

b-d71a-4661-ae85-9afaacea0971 b-d71a-4661-ae85-9afaacea0971 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: Hustisford Utilities Effective date: 2008/09/30 End date if known: Rate name: Ms-1 Street and Yard lighting Service Street (only) Ornamental 100 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0720 per kilowatt-hour.

393

Data:2b866d73-0bc5-439f-badf-3927868223cf | Open Energy Information  

Open Energy Info (EERE)

3-0bc5-439f-badf-3927868223cf 3-0bc5-439f-badf-3927868223cf 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: City of Plymouth, Wisconsin (Utility Company) Effective date: 2011/12/22 End date if known: Rate name: Ms-1 Street Lighting Service Ornamental 150 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0774 per kilowatt-hour.

394

Data:A8353783-7008-41ef-a516-28516c18145e | Open Energy Information  

Open Energy Info (EERE)

3783-7008-41ef-a516-28516c18145e 3783-7008-41ef-a516-28516c18145e 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: Manitowoc Public Utilities Effective date: 2009/06/01 End date if known: Rate name: Gs-1 General Service Single Phase less than 100kW Demand Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0361 per kilowatt-hour.

395

Data:225685a4-efe7-4587-8619-9bcba4c6bdec | Open Energy Information  

Open Energy Info (EERE)

efe7-4587-8619-9bcba4c6bdec efe7-4587-8619-9bcba4c6bdec 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: Oconomowoc Utilities Effective date: 2007/09/01 End date if known: Rate name: Cp-1 TOD Small Power Optional Time-of-Day Service Primary Metering Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0598 per kilowatt-hour.

396

Data:1e14c47b-173a-4725-8369-c4f005329889 | Open Energy Information  

Open Energy Info (EERE)

173a-4725-8369-c4f005329889 173a-4725-8369-c4f005329889 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: City of Richland Center, Wisconsin (Utility Company) Effective date: 2007/07/09 End date if known: Rate name: Cp-1 TOD Small Power Optional Time-of-Day Service Primary Metering Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0582 per kilowatt-hour.

397

Data:33e4670a-5229-4396-b026-cca4159c92d7 | Open Energy Information  

Open Energy Info (EERE)

70a-5229-4396-b026-cca4159c92d7 70a-5229-4396-b026-cca4159c92d7 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: City of River Falls, Wisconsin (Utility Company) Effective date: 2008/04/11 End date if known: Rate name: Ms-4 Pathway Lighting Service 100 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0662 per kilowatt-hour.

398

Data:0caea606-f443-452b-97d4-8777a5daed6e | Open Energy Information  

Open Energy Info (EERE)

caea606-f443-452b-97d4-8777a5daed6e caea606-f443-452b-97d4-8777a5daed6e 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: Oconomowoc Utilities Effective date: 2007/09/01 End date if known: Rate name: Cp-1 Small Power Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0598 per kilowatt-hour.

399

Data:162e96cd-350f-4680-9737-5547b6704629 | Open Energy Information  

Open Energy Info (EERE)

6cd-350f-4680-9737-5547b6704629 6cd-350f-4680-9737-5547b6704629 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: City of Marshfield, Wisconsin (Utility Company) Effective date: 2012/02/01 End date if known: Rate name: Gs-1 General Service Single Phase less than 50kW Demand Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0515 per kilowatt-hour.

400

Data:F3d418ef-6b09-45db-8708-980c26681413 | Open Energy Information  

Open Energy Info (EERE)

ef-6b09-45db-8708-980c26681413 ef-6b09-45db-8708-980c26681413 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: Village of Mazomanie, Wisconsin (Utility Company) Effective date: 2006/06/15 End date if known: Rate name: Ms-1 Street Lighting Service Area Lighting Tennis Court Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0574 per kilowatt-hour.

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


401

Microsoft Word - PURPA 2006_FINAL_revised.doc  

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

the the Public Utility Regulatory Policies Act of 1978 (PURPA) October 2006 Background Under Title I of the Public Utility Regulatory Policies Act of 1978 (PURPA), the U.S. Department of Energy (DOE) is required to publish a list identifying each electric utility that Title I applies to. [See PURPA SEC. 102(c).] The following is a revised version of the list released by DOE in August 2006. List All electric utilities listed below had electric energy sales, for purposes other than resale, in excess of 500 million kilowatt-hours in both 2003 and 2004, except where noted: ** = sales exceeded 500 million kilowatt-hours in 2003 only * = sales exceeded 500 million kilowatt-hours in 2004 only Electric utilities may be listed under multiple states because the PURPA threshold requirement is

402

Data:478e3fc5-119b-4b30-9663-1689783b6b3f | Open Energy Information  

Open Energy Info (EERE)

119b-4b30-9663-1689783b6b3f 119b-4b30-9663-1689783b6b3f 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: City of Richland Center, Wisconsin (Utility Company) Effective date: 2007/07/09 End date if known: Rate name: Cp-1 Small Power Service Primary Metering Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0582 per kilowatt-hour.

403

Data:3f661084-6107-4522-9923-7dd335dc7787 | Open Energy Information  

Open Energy Info (EERE)

1084-6107-4522-9923-7dd335dc7787 1084-6107-4522-9923-7dd335dc7787 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: Rice Lake Utilities Effective date: 2011/04/01 End date if known: Rate name: Rg-2 Residential Service Optional Time-of-Day Single Phase 7am-7pm Sector: Residential Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positiv¬e or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0773 per kilowatt-hour.

404

Data:388dc4fe-e882-4796-8812-e2f54f80c623 | Open Energy Information  

Open Energy Info (EERE)

e882-4796-8812-e2f54f80c623 e882-4796-8812-e2f54f80c623 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: Jefferson Utilities Effective date: 2009/06/01 End date if known: Rate name: Ms-1 Street and Security Lighting Service Overhead Street 150 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0686 per kilowatt-hour.

405

Data:9a07bd75-887d-4a1f-b780-e1cbadc2617b | Open Energy Information  

Open Energy Info (EERE)

-887d-4a1f-b780-e1cbadc2617b -887d-4a1f-b780-e1cbadc2617b 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: City of Cuba City, Wisconsin (Utility Company) Effective date: 2009/10/14 End date if known: Rate name: Ms-2 Athletic Field Lighting Service Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0765 per kilowatt-hour.

406

Data:4aa6f47c-c78f-487f-8464-08db6450626b | Open Energy Information  

Open Energy Info (EERE)

aa6f47c-c78f-487f-8464-08db6450626b aa6f47c-c78f-487f-8464-08db6450626b 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: Mt Wheeler Power, Inc Effective date: 2012/01/10 End date if known: Rate name: Irrigation Rate (Kilowatt Hour Rate) Sector: Commercial Description: This rate is designed for minimal usage during March, April, September and October. There is no demand charge for usage on the KILOWATT-HOUR RATE. The added benefit of using the KILOWATT-HOUR RATE is that as usage increases, the overall rate decreases and mirrors the DEMAND RATE. Source or reference: http://www.mwpower.net/content/member-services-rates

407

Data:09765641-d802-4897-b864-961aced23a3c | Open Energy Information  

Open Energy Info (EERE)

641-d802-4897-b864-961aced23a3c 641-d802-4897-b864-961aced23a3c 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: La Farge Municipal Electric Co Effective date: 2009/03/20 End date if known: Rate name: Ms-1 Street Lighting Service Overhead 150 HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0551 per kilowatt-hour.

408

Data:D4990442-6500-4251-9828-f6e126d29b45 | Open Energy Information  

Open Energy Info (EERE)

42-6500-4251-9828-f6e126d29b45 42-6500-4251-9828-f6e126d29b45 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: Oconto Falls Water & Light Comm Effective date: 2010/10/13 End date if known: Rate name: Rg-1 Residential Service Three Phase Sector: Residential Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0847 per kilowatt-hour.

409

Data:12ac0693-2912-44f7-8606-5d19371ede4d | Open Energy Information  

Open Energy Info (EERE)

693-2912-44f7-8606-5d19371ede4d 693-2912-44f7-8606-5d19371ede4d 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: Reedsburg Utility Comm Effective date: 2011/06/01 End date if known: Rate name: Cp-2 Large Power Time-of-Day Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0785 per kilowatt-hour.

410

Data:5098d422-325a-4673-ba05-90e0128ca3b4 | Open Energy Information  

Open Energy Info (EERE)

325a-4673-ba05-90e0128ca3b4 325a-4673-ba05-90e0128ca3b4 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: Manitowoc Public Utilities Effective date: 2009/06/01 End date if known: Rate name: Cp-1 Small Power Service between Primary Metering and Transformer Ownership Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0361 per kilowatt-hour.

411

Data:Fd0cb60e-0ee0-44ac-8013-8d28f0333769 | Open Energy Information  

Open Energy Info (EERE)

cb60e-0ee0-44ac-8013-8d28f0333769 cb60e-0ee0-44ac-8013-8d28f0333769 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: Hustisford Utilities Effective date: 2008/09/30 End date if known: Rate name: Rg-1 Residential Service Three Phase Sector: Residential Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0720 per kilowatt-hour.

412

Data:90899809-216b-4889-ab79-42f96e5d2410 | Open Energy Information  

Open Energy Info (EERE)

9809-216b-4889-ab79-42f96e5d2410 9809-216b-4889-ab79-42f96e5d2410 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: Oconomowoc Utilities Effective date: 2007/09/01 End date if known: Rate name: Cp-1 Small Power Service Primary Metering Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0598 per kilowatt-hour.

413

Data:Be4ee256-df39-4236-950b-355d46678535 | Open Energy Information  

Open Energy Info (EERE)

6-df39-4236-950b-355d46678535 6-df39-4236-950b-355d46678535 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: Village of Muscoda, Wisconsin (Utility Company) Effective date: 2010/10/26 End date if known: Rate name: Rg-1 Residential Service Single Phase with Parallel Generation(20kW or less) Sector: Residential Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0844 per kilowatt-hour.

414

Data:Dd904ff8-e9ed-414d-8640-90694550c994 | Open Energy Information  

Open Energy Info (EERE)

ff8-e9ed-414d-8640-90694550c994 ff8-e9ed-414d-8640-90694550c994 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: Village of New Glarus, Wisconsin (Utility Company) Effective date: 2006/03/20 End date if known: Rate name: Ms-2 Security Lighting Service 100 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0721 per kilowatt-hour.

415

Data:F4fb786e-eff1-40ec-9ebb-d149147187c6 | Open Energy Information  

Open Energy Info (EERE)

eff1-40ec-9ebb-d149147187c6 eff1-40ec-9ebb-d149147187c6 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: Hustisford Utilities Effective date: 2008/09/30 End date if known: Rate name: Cp-2 Large Power Service above 200kW Demand Time-of-Day Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0720 per kilowatt-hour.

416

Data:F846d4b2-ea23-4408-adeb-5404de2ab032 | Open Energy Information  

Open Energy Info (EERE)

b2-ea23-4408-adeb-5404de2ab032 b2-ea23-4408-adeb-5404de2ab032 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: City of Elkhorn, Wisconsin (Utility Company) Effective date: 2012/07/01 End date if known: Rate name: Ms-1 Street Lighting Service 250 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0509 per kilowatt-hour.

417

Data:273a4fc1-6044-4727-9df6-ff2759861765 | Open Energy Information  

Open Energy Info (EERE)

fc1-6044-4727-9df6-ff2759861765 fc1-6044-4727-9df6-ff2759861765 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: City of Evansville, Wisconsin (Utility Company) Effective date: 2010/02/01 End date if known: Rate name: Gs-1 General Service Single Phase less than 45kW Demand Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0762 per kilowatt-hour.

418

Data:D48716f2-1372-4a26-8466-8bbdd90823d0 | Open Energy Information  

Open Energy Info (EERE)

-1372-4a26-8466-8bbdd90823d0 -1372-4a26-8466-8bbdd90823d0 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: Manitowoc Public Utilities Effective date: 2009/06/01 End date if known: Rate name: Cp-1 Small Power Service between with Parallel Generation(20kW or less) Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0361 per kilowatt-hour.

419

Data:7a6f515e-718c-4344-a854-f54562d32296 | Open Energy Information  

Open Energy Info (EERE)

5e-718c-4344-a854-f54562d32296 5e-718c-4344-a854-f54562d32296 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: Oconto Falls Water & Light Comm Effective date: 2010/10/13 End date if known: Rate name: Gs-1 General Service Single Phase Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0847 per kilowatt-hour.

420

Data:A59fedf2-5935-46dc-8aab-4e76cc473882 | Open Energy Information  

Open Energy Info (EERE)

fedf2-5935-46dc-8aab-4e76cc473882 fedf2-5935-46dc-8aab-4e76cc473882 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: Reedsburg Utility Comm Effective date: 2011/06/01 End date if known: Rate name: Cp-1 Small Power Service Primary Metering Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0785 per kilowatt-hour.

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Data:10e0735c-71c5-4563-9883-ee063ecbe232 | Open Energy Information  

Open Energy Info (EERE)

c-71c5-4563-9883-ee063ecbe232 c-71c5-4563-9883-ee063ecbe232 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: New London Electric&Water Util Effective date: 2009/07/01 End date if known: Rate name: Cp-1 Small Power Service Primary Metering and Transformer Ownership Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0699 per kilowatt-hour.

422

Data:3b97fbcc-e840-4c5d-9834-abbfc846af20 | Open Energy Information  

Open Energy Info (EERE)

fbcc-e840-4c5d-9834-abbfc846af20 fbcc-e840-4c5d-9834-abbfc846af20 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: Reedsburg Utility Comm Effective date: 2011/06/01 End date if known: Rate name: Cp-1 TOD Small Power Optional Time-of-Day Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0785 per kilowatt-hour.

423

Data:74883c08-aa2f-47ab-b972-528067752eab | Open Energy Information  

Open Energy Info (EERE)

aa2f-47ab-b972-528067752eab aa2f-47ab-b972-528067752eab 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: New London Electric&Water Util Effective date: 2009/07/01 End date if known: Rate name: Cp-1 TOD Small Power Optional Time-of-Day Service Transformer Ownership Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0699 per kilowatt-hour.

424

Data:25fc8909-2275-4619-b587-6ea6033ac21f | Open Energy Information  

Open Energy Info (EERE)

909-2275-4619-b587-6ea6033ac21f 909-2275-4619-b587-6ea6033ac21f 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: City of Plymouth, Wisconsin (Utility Company) Effective date: 2011/12/22 End date if known: Rate name: Cp-1 Small Power Service Secondary Voltage Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0774 per kilowatt-hour.

425

Data:0c76337c-07ee-4e0d-ac41-e6933092ee38 | Open Energy Information  

Open Energy Info (EERE)

c-07ee-4e0d-ac41-e6933092ee38 c-07ee-4e0d-ac41-e6933092ee38 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: Rice Lake Utilities Effective date: 2011/04/01 End date if known: Rate name: Cp-1 Small Power Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positiv¬e or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0773 per kilowatt-hour.

426

Data:F86ebf17-260f-488e-842f-1883b11fa1cd | Open Energy Information  

Open Energy Info (EERE)

ebf17-260f-488e-842f-1883b11fa1cd ebf17-260f-488e-842f-1883b11fa1cd 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: Village of New Glarus, Wisconsin (Utility Company) Effective date: 2010/03/01 End date if known: Rate name: Rg-1 Residential Service Sector: Residential Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0721 per kilowatt-hour.

427

Data:B88415c0-aa51-4635-90ab-d7774820eeec | Open Energy Information  

Open Energy Info (EERE)

c0-aa51-4635-90ab-d7774820eeec c0-aa51-4635-90ab-d7774820eeec 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: Village of Sauk City, Wisconsin (Utility Company) Effective date: 2008/08/18 End date if known: Rate name: Cp-1 TOD Small Power Optional Time-of-Day Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0756 per kilowatt-hour.

428

Data:4f77a62c-49c5-4166-9c28-37d46631aedc | Open Energy Information  

Open Energy Info (EERE)

c-49c5-4166-9c28-37d46631aedc c-49c5-4166-9c28-37d46631aedc 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: Oconto Falls Water & Light Comm Effective date: 2010/10/13 End date if known: Rate name: Cp-3 Industrial Power Time-of-Day Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0847 per kilowatt-hour.

429

Data:De5e3da0-fcbc-4661-ab97-07745eccad09 | Open Energy Information  

Open Energy Info (EERE)

da0-fcbc-4661-ab97-07745eccad09 da0-fcbc-4661-ab97-07745eccad09 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: City of Elkhorn, Wisconsin (Utility Company) Effective date: 2012/07/01 End date if known: Rate name: Ms-1 Street Lighting Service 400 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0509 per kilowatt-hour.

430

Data:B3176bfb-d152-401d-bef2-d90685908894 | Open Energy Information  

Open Energy Info (EERE)

76bfb-d152-401d-bef2-d90685908894 76bfb-d152-401d-bef2-d90685908894 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: Village of Muscoda, Wisconsin (Utility Company) Effective date: 2010/10/26 End date if known: Rate name: Cp-2 Large Power Service Primary Metering Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0844 per kilowatt-hour.

431

Data:81722ecd-51d4-4cb2-922f-3266815510bc | Open Energy Information  

Open Energy Info (EERE)

51d4-4cb2-922f-3266815510bc 51d4-4cb2-922f-3266815510bc 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: City of Cornell, Wisconsin (Utility Company) Effective date: 2008/05/12 End date if known: Rate name: Rg-2 Residential Service Optional Time-of-Day Three Phase Sector: Residential Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0644 per kilowatt-hour.

432

Data:131e3604-5717-45fa-be60-daeaf20aa269 | Open Energy Information  

Open Energy Info (EERE)

604-5717-45fa-be60-daeaf20aa269 604-5717-45fa-be60-daeaf20aa269 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: Rice Lake Utilities Effective date: 2011/04/01 End date if known: Rate name: Gs-2 General Service Single Phase Optional Time-of-Day 7am-7pm Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0773 per kilowatt-hour.

433

Data:6f135230-9f99-4415-afa7-1d88803a1463 | Open Energy Information  

Open Energy Info (EERE)

5230-9f99-4415-afa7-1d88803a1463 5230-9f99-4415-afa7-1d88803a1463 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: Reedsburg Utility Comm Effective date: 2011/06/01 End date if known: Rate name: Cp-1 Small Power Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0785 per kilowatt-hour.

434

Data:736f4002-4731-4a26-a944-d6ed610949aa | Open Energy Information  

Open Energy Info (EERE)

002-4731-4a26-a944-d6ed610949aa 002-4731-4a26-a944-d6ed610949aa 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: City of River Falls, Wisconsin (Utility Company) Effective date: 2010/03/26 End date if known: Rate name: Gs-1 General Service Single Phase Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0662 per kilowatt-hour.

435

Data:F1149de8-9fbd-43a6-9409-6997f96f2851 | Open Energy Information  

Open Energy Info (EERE)

9de8-9fbd-43a6-9409-6997f96f2851 9de8-9fbd-43a6-9409-6997f96f2851 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: Florence Utility Comm Effective date: 2009/11/30 End date if known: Rate name: Rg-1 Residential Service Single Phase Sector: Residential Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0791 per kilowatt-hour.

436

Data:3c18ace5-036c-4933-9205-bf5f3819483d | Open Energy Information  

Open Energy Info (EERE)

ace5-036c-4933-9205-bf5f3819483d ace5-036c-4933-9205-bf5f3819483d 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: City of New Holstein, Wisconsin (Utility Company) Effective date: 2011/10/01 End date if known: Rate name: Ms-1 Street Lighting Service Ornamental 150 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0860 per kilowatt-hour.

437

Data:562b3fff-446f-4ac1-b162-67214648f235 | Open Energy Information  

Open Energy Info (EERE)

446f-4ac1-b162-67214648f235 446f-4ac1-b162-67214648f235 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: City of Kiel, Wisconsin (Utility Company) Effective date: 2011/05/01 End date if known: Rate name: Gs-1 General Service Three Phase less than 40kW Demand Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0754 per kilowatt-hour.

438

Data:2510364b-488d-495f-83e7-e99fe04856ba | Open Energy Information  

Open Energy Info (EERE)

488d-495f-83e7-e99fe04856ba 488d-495f-83e7-e99fe04856ba 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: City of Cuba City, Wisconsin (Utility Company) Effective date: 2009/10/14 End date if known: Rate name: Cp-1 TOD Small Power Optional Time-of-Day Service Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0765 per kilowatt-hour.

439

Data:7d14ffd4-fd10-49de-becc-ca3698513431 | Open Energy Information  

Open Energy Info (EERE)

ffd4-fd10-49de-becc-ca3698513431 ffd4-fd10-49de-becc-ca3698513431 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: City of Marshfield, Wisconsin (Utility Company) Effective date: 2012/02/01 End date if known: Rate name: Gs-1 General Service Three Phase less than 50kW Demand Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0515 per kilowatt-hour.

440

Data:3f75fadf-59e6-48d0-847c-089732919391 | Open Energy Information  

Open Energy Info (EERE)

fadf-59e6-48d0-847c-089732919391 fadf-59e6-48d0-847c-089732919391 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: Jefferson Utilities Effective date: 2009/06/01 End date if known: Rate name: Ms-1 Street and Security Lighting Service Ornamental Street 400 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0686 per kilowatt-hour.

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


441

Data:D2ec3bf0-a55a-4892-a7fd-36d467716346 | Open Energy Information  

Open Energy Info (EERE)

ec3bf0-a55a-4892-a7fd-36d467716346 ec3bf0-a55a-4892-a7fd-36d467716346 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: City of Princeton, Wisconsin (Utility Company) Effective date: 2006/09/14 End date if known: Rate name: Cp-2 Large Power Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0524 per kilowatt-hour.

442

Data:3e2f7cbf-b9ed-4845-af67-cb3ac09eeb51 | Open Energy Information  

Open Energy Info (EERE)

cbf-b9ed-4845-af67-cb3ac09eeb51 cbf-b9ed-4845-af67-cb3ac09eeb51 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: Village of Pardeeville, Wisconsin (Utility Company) Effective date: 2007/10/10 End date if known: Rate name: Cp-1 Small Power Service Transformer Ownership Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0680 per kilowatt-hour.

443

Microsoft Word - PURPA 2008_edited May 2009.doc  

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

the Public Utility Regulatory Policies Act of 1978 (PURPA) August 2008 Background Under Title I of the Public Utility Regulatory Policies Act of 1978 (PURPA), the U.S. Department of Energy (DOE) is required to publish a list identifying each electric utility that Title I applies to. [See PURPA SEC. 102(c).] The following list is an updated version of DOE's October 2006 list. List All electric utilities listed below had electric energy sales, for purposes other than resale, in excess of 500 million kilowatt-hours in both 2005 and 2006, except where noted: ** = sales exceeded 500 million kilowatt-hours in 2005 only * = sales exceeded 500 million kilowatt-hours in 2006 only Electric utilities may be listed under multiple states because the PURPA threshold requirement is

444

Data:D7d414e6-8420-4323-9eca-e3273630ca89 | Open Energy Information  

Open Energy Info (EERE)

-8420-4323-9eca-e3273630ca89 -8420-4323-9eca-e3273630ca89 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: City of Richland Center, Wisconsin (Utility Company) Effective date: 2007/07/09 End date if known: Rate name: Cp-4 Large Industrial Power Time-of-Day Service Primary Metering Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0582 per kilowatt-hour.

445

Data:Dd970074-b298-4754-91a4-b28077373b20 | Open Energy Information  

Open Energy Info (EERE)

70074-b298-4754-91a4-b28077373b20 70074-b298-4754-91a4-b28077373b20 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: Hustisford Utilities Effective date: 2008/09/30 End date if known: Rate name: Rg-1 Residential Service Single Phase Sector: Residential Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0720 per kilowatt-hour.

446

Data:0f9ccc25-cf32-4209-b853-0fd193085769 | Open Energy Information  

Open Energy Info (EERE)

cf32-4209-b853-0fd193085769 cf32-4209-b853-0fd193085769 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: City of New Holstein, Wisconsin (Utility Company) Effective date: 2011/10/01 End date if known: Rate name: Cp-2 Large Power Time-of-Day Service Primary Metering Discount Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0860 per kilowatt-hour.

447

Data:821cac8c-7176-435e-9356-c176cdca5fd8 | Open Energy Information  

Open Energy Info (EERE)

cac8c-7176-435e-9356-c176cdca5fd8 cac8c-7176-435e-9356-c176cdca5fd8 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: City of Cornell, Wisconsin (Utility Company) Effective date: 2008/05/12 End date if known: Rate name: Cp-1 Large Power Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0644 per kilowatt-hour.

448

Data:F5a13204-1dbf-47ad-8733-213c5773718a | Open Energy Information  

Open Energy Info (EERE)

1dbf-47ad-8733-213c5773718a 1dbf-47ad-8733-213c5773718a 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: City of Marshfield, Wisconsin (Utility Company) Effective date: 2012/02/01 End date if known: Rate name: Gs-2 General Service Single Phase Optional Time-of-Day Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0515 per kilowatt-hour.

449

Data:112ec36e-487e-4c47-aeed-15543b91baa3 | Open Energy Information  

Open Energy Info (EERE)

ec36e-487e-4c47-aeed-15543b91baa3 ec36e-487e-4c47-aeed-15543b91baa3 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: City of Princeton, Wisconsin (Utility Company) Effective date: 2006/09/14 End date if known: Rate name: Gs-1 General Service Three Phase Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0524 per kilowatt-hour.

450

Data:4c743d3e-6087-43b4-a914-ee1cc68aaf17 | Open Energy Information  

Open Energy Info (EERE)

e-6087-43b4-a914-ee1cc68aaf17 e-6087-43b4-a914-ee1cc68aaf17 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: City of Richland Center, Wisconsin (Utility Company) Effective date: 2007/07/09 End date if known: Rate name: Gs-1 General Service Three Phase Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0582 per kilowatt-hour.

451

Data:793b6d53-fa2e-4490-adff-a070296000df | Open Energy Information  

Open Energy Info (EERE)

b6d53-fa2e-4490-adff-a070296000df b6d53-fa2e-4490-adff-a070296000df 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: Oconomowoc Utilities Effective date: 2007/09/01 End date if known: Rate name: Ms-1 Street and Athletic Field Lighting Service Ornamental 250 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0598 per kilowatt-hour.

452

Data:32435ebe-89ec-4506-a9af-0575162b3925 | Open Energy Information  

Open Energy Info (EERE)

ebe-89ec-4506-a9af-0575162b3925 ebe-89ec-4506-a9af-0575162b3925 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: Village of Pardeeville, Wisconsin (Utility Company) Effective date: 2007/10/10 End date if known: Rate name: Gs-1 General Service Single Phase Sector: Commercial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0680 per kilowatt-hour.

453

Data:6cd685a8-b928-4484-a3a9-956728865276 | Open Energy Information  

Open Energy Info (EERE)

85a8-b928-4484-a3a9-956728865276 85a8-b928-4484-a3a9-956728865276 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: City of New Richmond, Wisconsin (Utility Company) Effective date: 2010/02/01 End date if known: Rate name: Cp-1 Small Power Service Sector: Industrial Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0710 per kilowatt-hour.

454

Data:03b48b64-3204-4522-be6f-58fd90eacb95 | Open Energy Information  

Open Energy Info (EERE)

b64-3204-4522-be6f-58fd90eacb95 b64-3204-4522-be6f-58fd90eacb95 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: Hustisford Utilities Effective date: 2008/09/30 End date if known: Rate name: Ms-1 Street and Yard lighting Service Street (only) Ornamental 250 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0720 per kilowatt-hour.

455

Data:55d2d28a-94a6-4298-b83b-572047844774 | Open Energy Information  

Open Energy Info (EERE)

a-94a6-4298-b83b-572047844774 a-94a6-4298-b83b-572047844774 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: Village of Pardeeville, Wisconsin (Utility Company) Effective date: 2007/10/10 End date if known: Rate name: Ms-1 Street Lighting Service Overhead 250 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0680 per kilowatt-hour.

456

Page not found | Department of Energy  

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

Download CX-006506: Categorical Exclusion Determination Development of Large Format Lithium Ion Cells with Higher Energy Density Exceeding 500 Watthours per Liter CX(s) Applied:...

457

Page not found | Department of Energy  

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

Download CX-006510: Categorical Exclusion Determination Development of Large Format Lithium Ion Cells with Higher Energy Density Exceeding 500 Watthours per Liter CX(s) Applied:...

458

CX-006506: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Development of Large Format Lithium Ion Cells with Higher Energy Density Exceeding 500 Watthours per Liter CX(s) Applied: B3.6 Date: 08252011...

459

CX-006510: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Development of Large Format Lithium Ion Cells with Higher Energy Density Exceeding 500 Watthours per Liter CX(s) Applied: B3.6 Date: 08252011...

460

CX-006507: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Development of Large Format Lithium Ion Cells with Higher Energy Density Exceeding 500 Watthours per Liter CX(s) Applied: B3.6 Date: 08252011...

Note: This page contains sample records for the topic "watthour kilowatt hours" 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

Investigation Of Synergistic NOx Reduction From Cofiring And Air Staged Combustion Of Coal And Low Ash Dairy Biomass In A 30 Kilowatt Low NOx Furnace  

E-Print Network (OSTI)

Alternate, cost effective disposal methods must be developed for reducing phosphorous and nitrogen loading from land application of animal waste. Cofiring coal with animal waste, termed dairy biomass (DB), is the proposed thermo-chemical method to address this concern. DB is evaluated as a cofired fuel with Wyoming Powder River Basin (PRB) sub-bituminous coal in a small-scale 29 kW_(t) low NO_(x) burner (LNB) facility. Fuel properties, of PRB and DB revealed the following: a higher heating value of 29590 kJ/kg for dry ash free (DAF) coal and 21450 kJ/kg for DAF DB. A new method called Respiratory Quotient (RQ), defined as ratio of carbon dioxide moles to oxygen moles consumed in combustion, used widely in biology, was recently introduced to engineering literature to rank global warming potential (GWP) of fuels. A higher RQ means higher CO_(2) emission and higher GWP. PRB had an RQ of 0.90 and DB had an RQ of 0.92. For comparison purposes, methane has an RQ of 0.50. For unknown fuel composition, gas analyses can be adapted to estimate RQ values. The LNB was modified and cofiring experiments were performed at various equivalence ratios (phi) with pure coal and blends of PRB-DB. Standard emissions from solid fuel combustion were measured; then NO_(x) on a heat basis (g/GJ), fuel burnt fraction, and fuel nitrogen conversion percentage were estimated. The gas analyses yielded burnt fraction ranging from 89% to 100% and confirmed an RQ of 0.90 to 0.94, which is almost the same as the RQ based on fuel composition. At the 0.90 equivalence ratio, unstaged pure coal produced 653 ppm (377 g/GJ) of NOx. At the same equivalence ratio, a 90-10 PRB:LADB blended fuel produced 687 ppm (397 g/GJ) of NO_(x). By staging 20% of the total combustion air as tertiary air (which raised the equivalence ratio of the main burner to 1.12), NO_(x) was reduced to 545 ppm (304 g/GJ) for the 90-10 blended fuel. Analysis of variance showed that variances were statistically significant because of real differences between the independent variables (equivalence ratio, percent LADB in the fuel, and staging intensity).

Lawrence, Benjamin Daniel

2013-08-01T23:59:59.000Z

462

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

Open Energy Info (EERE)

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

463

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

Open Energy Info (EERE)

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

464

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

Open Energy Info (EERE)

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

465

Solar: monthly direct normal (DNI) GIS data at 40km resolution for  

Open Energy Info (EERE)

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

466

Solar: monthly and annual average 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

467

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

468

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

Open Energy Info (EERE)

latitude tilt horizontal GIS data at 40km latitude tilt horizontal GIS data at 40km resolution for Nepal from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude 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 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

469

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

470

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

471

Data:74b96db2-a9fa-46a9-af93-5e8986655f92 | Open Energy Information  

Open Energy Info (EERE)

db2-a9fa-46a9-af93-5e8986655f92 db2-a9fa-46a9-af93-5e8986655f92 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: Lea County Electric Coop, Inc Effective date: 2009/08/30 End date if known: Rate name: Primary Service Over 2MW Sector: Industrial Description: Available system-wide, under contract, for petroleum pumping, pipeline pumping, government agencies, industrial uses, and such other service in conjuction therewith and incidental thereto, supplied at one point of delivery, measured by watt-hour meter, where facilities of adequate capacity and suitable potential are adjacent to the premises to be served over 2000k demand.

472

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

473

Solar: monthly global horizontal (GHI) GIS data at 40km resolution for  

Open Energy Info (EERE)

40km resolution for 40km resolution for Bangladesh from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Bangladesh. (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

474

Environmental Energy Technologies Division News  

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

long-standing focus of EETD electrochemical research long-standing focus of EETD electrochemical research has been to support the development of high-perfor- mance rechargeable batteries for electric vehicles. This has proved to be an extremely challenging task because of the need to simultaneously meet multiple battery performance requirements: high energy (watt-hours per unit battery mass or volume), high power (watts per unit battery mass or volume), long life (10 years and hundreds of deep charge-discharge cycles), low cost (measured in dollars per unit battery capacity), resistance to abuse and operating temperature extremes, perfect safety, and minimal environmental impact. Despite years of intensive worldwide R&D, no battery can meet all of these goals. A compromise of sorts is the hybrid-electric vehicle (HEV).

475

Environmental Energy Technologies Division News  

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

Winter 2000: Winter 2000: Vol. 1, No. 4 Lithium Batteries for Hybrid-Electric Vehicles New Fluorescent Lamp Ballast Energy-Efficiency Standards Leading by Example: In-House Energy Management at LBNL Berkeley Lab Acts to Implement Presidential "Greening" Order The Radon Project Web Site Research Highlights Sources and Credits PDF of EETD News Lithium Batteries for Hybrid-Electric Vehicles A long-standing focus of EETD electrochemical research has been to support the development of high-performance rechargeable batteries for electric vehicles. This has proved to be an extremely challenging task because of the need to simultaneously meet multiple battery performance requirements: high energy (watt-hours per unit battery mass or volume), high power (watts per unit battery mass or volume), long life (10 years and hundreds of deep

476

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

477

Solar: monthly latitude tilt GIS data at 40km resolution for Bangladesh  

Open Energy Info (EERE)

latitude tilt GIS data at 40km resolution for Bangladesh latitude tilt GIS data at 40km resolution for Bangladesh from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Bangladesh. (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

478

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

479

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

480

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

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


481

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

482

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

483

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

484

Design, fabrication, and certification of advanced modular PV power systems. Annual technical progress report, 8 September 1995--7 September 1996  

DOE Green Energy (OSTI)

This report summarizes the activities performed during the first year of a nominal 2-year effort by Solar Electric Specialties Company (SES) under the Photovoltaic Manufacturing Technology (PVMaT) project of the National Photovoltaic Program. The goal of the SES contract is to reduce the installed system life-cycle costs by developing certified and standardized prototype products for two SES product lines--MAPPS{trademark} and Photogenset{trademark}. The MAPPS (modular autonomous PV power supply) systems are used for DC applications up to about a thousand watt-hours. The Photogensets are hybrid PV/generator systems for AC applications. SES expects these products to provide the basis for future commercial product lines of standardized certified, packaged systems.

Lambarski, T.; Minyard, G. [Solar Electric Specialties, Willits, CA (United States)

1997-03-01T23:59:59.000Z

485

Data:4fea4549-9118-423a-af1d-f64ddcee4065 | Open Energy Information  

Open Energy Info (EERE)

fea4549-9118-423a-af1d-f64ddcee4065 fea4549-9118-423a-af1d-f64ddcee4065 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: City of Black River Falls, Wisconsin (Utility Company) Effective date: 2010/04/15 End date if known: Rate name: General Service - Gs-1 Three Phase Sector: Commercial Description: Power Cost Adjustment Clause All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The current cost per kilowatt-hour of energy billed is equal to the cost of power purchased for the most recent month, divided by the kilowatt-hours of energy sold. The monthly adjustment (rounded to the nearest one one-hundredth of a cent) is equal to the current cost less the base cost. The base cost of power (U) is $0.0790 per kilowatt-hour. Application: This rate will be applied to single and three-phase customers. This includes commercial, institutional, government, farm, and other customers. The monthly Maximum Measured Demand of customers served on this rate shall not exceed 50 kilowatts for three or more months in a consecutive 12-month period. Commitment to Community rider:Gs-1 General Service 3.0% of the total electric bill not to exceed $1.66

486

How to Read Your Electric Meter | Department of Energy  

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

Your Electric Meter Your Electric Meter How to Read Your Electric Meter July 2, 2012 - 8:21pm Addthis The difference between one month's reading and the next is the amount of energy units that have been used for that billing period. | Photo courtesy of Warren Gretz, NREL. The difference between one month's reading and the next is the amount of energy units that have been used for that billing period. | Photo courtesy of Warren Gretz, NREL. What are the key facts? The basic unit of measure of electric power is the Watt, and one thousand Watts are called a kilowatt. Your electric utility bills you by the kilowatt-hour -- the number of kilowatts you use per hour. When reading an electric meter, read and write down the numbers as shown on the dials from right to left. You may also wish to contact your local utility company for more

487

How to Read Your Electric Meter | Department of Energy  

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

How to Read Your Electric Meter How to Read Your Electric Meter How to Read Your Electric Meter July 2, 2012 - 8:21pm Addthis The difference between one month's reading and the next is the amount of energy units that have been used for that billing period. | Photo courtesy of Warren Gretz, NREL. The difference between one month's reading and the next is the amount of energy units that have been used for that billing period. | Photo courtesy of Warren Gretz, NREL. What are the key facts? The basic unit of measure of electric power is the Watt, and one thousand Watts are called a kilowatt. Your electric utility bills you by the kilowatt-hour -- the number of kilowatts you use per hour. When reading an electric meter, read and write down the numbers as shown on the dials from right to left.

488

Sustainable use of California biomass resources can help meet state and national bioenergy targets  

E-Print Network (OSTI)

cost adds approxi- mately $0.01 per kilowatt-hour (kWh) torealize costs ranging from $0.05 to $0.07 per kWh. Where on-costs from biomass currently range from $0.06 to $0.10 per kWh

Jenkins, Bryan M; Williams, Robert B; Gildart, Martha C; Kaffka, Stephen R.; Hartsough, Bruce; Dempster, Peter G

2009-01-01T23:59:59.000Z

489

WORKING PAPER SERIES MIT-IPC-09-008  

E-Print Network (OSTI)

energy so that it might one day be powered by a rooftop photovoltaic array (which generates electricity by a conventional building and slightly more than the annual energy expected from a 3,700­square-foot photovoltaic, the rooftop photovoltaic array produced 70,000 kilowatt-hours of electric energy, only 17 percent of the 420

490

New Hampshire | Department of Energy  

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

1.8 mills per kilowatt-hour (0.0018kWh) on electric bills. A separate surcharge of 1.5 mills per kWh (0.0015kWh) supports low-income energy assistance programs. July 12, 2013...

491

Department of Energy - New Hampshire  

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

1.8 mills per kilowatt-hour (0.0018kWh) on electric bills. A separate surcharge of 1.5 mills per kWh (0.0015kWh) supports low-income energy assistance programs. Approximately...

492

228 POWER FLOW ANALYSIS parties, it is crucial to recognize the inherently subjective nature of OPF. Power flow  

E-Print Network (OSTI)

about the duration of an outage; in particular, one day in ten years does not mean the load between outage cost and duration. Here, outage cost is expressed in terms of dollars per kilowatt-hour (k of the outage period. Such a cost might be derived, for example, from the lost revenues of a business during

Kammen, Daniel M.

493

Data:F2ebdf65-e5e7-4dd9-89fb-ba9f3153f655 | Open Energy Information  

Open Energy Info (EERE)

ebdf65-e5e7-4dd9-89fb-ba9f3153f655 ebdf65-e5e7-4dd9-89fb-ba9f3153f655 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: City of Kirkwood, Missouri (Utility Company) Effective date: 2011/10/31 End date if known: Rate name: Class R (Residential) Sector: Residential Description: *Purchase Power Adjustment (Rider PPA). A purchased power adjustment will be applicable to all metered kilowatt-hours (kwh) of energy. During the summer months a purchase power adjustment of 0.4225¢ shall be applied to all metered kilowatt-hours. During the winter months a purchase power adjustment of 1.13¢ shall be applied the first 750 kilowatt-hours and a purchase power adjustment of 3.39¢ shall be applied to all metered kilowatt-hours over 750.

494

Energy Conservation Assistance Act (ECAA) American Recovery and Reinvestment Act (ARRA)  

E-Print Network (OSTI)

. "kWh" means kilowatt-hour. "Light emitting diode (LED)" means a p-n junction solid state device of the device. The output of a light-emitting diode may be in: (1) the infrared region; (2) the visible region

495

27Solar Irradiance Changes and the Sunspot Cycle Irradiance (also called insolation) is a measure of the amount of sunlight power  

E-Print Network (OSTI)

system generate in 1989? Space Math http://spacemath.gsfc.nasa.gov #12;27Answer Key Problem 1 - About to be the relationship between sunspot number and solar irradiance? Problem 3 - A homeowner built a solar electricity (photovoltaic) system on his roof in 1985 that produced 3,000 kilowatts-hours of electricity that year. Assuming

496

Name___________________________________ MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.  

E-Print Network (OSTI)

) Productivity ^ = 2.36 + 2.03 Dexterity 21) 5 #12;Answer Key Testname: SAMPLE TEST2 1) A 2) D 3) A 4) B 5) C 6 sample of records of electricity usage of homes gives the amount of electricity used and size (in square feet) of 135 homes. A regression to predict the amount of electricity used (in kilowatt-hours) from

DeMaio, Joe

497

3Energy in the Home Every month, we get the Bad  

E-Print Network (OSTI)

much does one experiment cost to run? Space Math http://spacemath.gsfc.nasa.gov #12;Answer Key Problem3Energy in the Home Every month, we get the Bad News from our local electrical company. A bill comes in the mail saying that you used 900 Kilowatt Hours (kWh) of electricity last month

498

Metering Technology  

Science Conference Proceedings (OSTI)

Utilities are looking to replace meters that only measure kilowatt-hours with advanced meters with greater features and functions. This White Paper describes the smart metering technology that is already available or will be available in the near future. It also provides a high-level overview of the wired and wireless communication technologies used in the metering industry.

2008-06-20T23:59:59.000Z

499

Feasibility Study Of Advanced Technology Hov Systems: Volume 2a: Feasibility Of Implementing Roadway Powered Electric Vehicle Technology In El Monte Busway: A Case Study  

E-Print Network (OSTI)

mph Battery voltage of 500 volts Battery amp-hour rating of40 kilowatts 8,500 Hz 1,200 amp-turns 400 amp 128 volts154 volts 240 amp-turns 180 amp 216 volts 255 volts Test

Chira-Chavala, Ted; Lechner, Edward H.; Empey, Dan M.

1992-01-01T23:59:59.000Z

500

C1000 Problem Set 4 (Draft 10/16/03; Menke) Frontiers of Science (C1000) Problem Set 4 on Energy Relevant to Green House Gases  

E-Print Network (OSTI)

to electricity. The USA demand for electricity during year 2000 was about 3600 billion kilowatt-hours. Sunlight to be covered by solar energy farms to equal US electrical energy demand? Put this number in context of energy for transportation, electricity generation, heating and cooling. This industrial energy is now

Menke, William