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Note: This page contains sample records for the topic "average monthly bill" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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1

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

U.S. Energy Information Administration (EIA)

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

2

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

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

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

3

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

U.S. Energy Information Administration (EIA)

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

4

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

U.S. Energy Information Administration (EIA)

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

5

"2012 Average Monthly Bill- Residential"  

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

Residential" Residential" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",6203726,634.13095,15.713593,99.644755 "Connecticut",1454651,730.85302,17.343298,126.75402 "Maine",703770,530.56349,14.658797,77.774225 "Massachusetts",2699141,627.15845,14.912724,93.52641 "New Hampshire",601697,614.81776,16.070168,98.802249 "Rhode Island",435448,597.34783,14.404061,86.042344 "Vermont",309019,565.03618,17.006075,96.090478 "Middle Atlantic",15727423,700.63673,15.272654,107.00582

6

"2012 Average Monthly Bill- Industrial"  

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

Industrial" Industrial" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",34164,67854.037,11.83487,8030.4373 "Connecticut",4647,63947.063,12.672933,8103.9685 "Maine",2780,90741.457,7.9819499,7242.9376 "Massachusetts",21145,66710.826,12.566635,8383.3057 "New Hampshire",3444,47247.217,11.83228,5590.423 "Rhode Island",1927,39935.911,10.676724,4263.8471 "Vermont",221,536044.12,9.9796777,53495.475 "Middle Atlantic",45836,126368.14,7.4903534,9465.42 "New Jersey",12729,50817.89,10.516509,5344.2677

7

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

Gasoline and Diesel Fuel Update (EIA)

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

8

Average U.S. residential summer 2013 electric bill expected to be ...  

U.S. Energy Information Administration (EIA)

The average U.S. household electric bill for June through August is expected to total $395, down 2.5% from last summer and the cheapest in four years.

9

Average summer electric power bills expected to be lowest in four years  

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

summer electric power bills expected to be lowest in summer electric power bills expected to be lowest in four years The average U.S. household is expected to pay $395 for electricity this summer. That's down 2.5% from last year and the lowest residential summer power bill in four years, according to the new forecast from the U.S. Energy Information Administration. Lower electricity use to meet cooling demand this summer because of forecasted milder temperatures compared with last summer is expected to more than offset higher electricity prices. The result is lower power bills for most U.S. households during the June, July, and August period. However electricity use and prices vary by region. EIA expects residential power bills will be lower in all areas of the country... except for the West South Central region, which includes

10

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

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

11

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

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

12

Solar: monthly and annual average direct normal (DNI) GIS data...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

13

Climate: monthly and annual average relative humidity GIS data...  

Open Energy Info (EERE)

Climate: monthly and annual average relative humidity GIS data at one-degree resolution of the World from NASASSE

(Abstract):
Relative Humidity at 10 m...

14

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

Open Energy Info (EERE)

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

15

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

Open Energy Info (EERE)

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

16

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

17

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

18

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

Open Energy Info (EERE)

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

19

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

Open Energy Info (EERE)

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

20

Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual  

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

Chlorofluorocarbons » Chlorofluorocarbons » Atmospheric CFC-11 Concentrations Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual Data for the Period 1975-1992 DOI: 10.3334/CDIAC/atg.db1010 data Data (DB1010) Investigator M. A. K. Khalil and R. A. Rasmussen Description This data set presents globally averaged atmospheric concentrations of chlorofluorocarbon 11, known also as CFC-11 or F-11 (chemical name: trichlorofluoromethane; formula: CCl3F). The monthly global average data are derived from flask air samples collected at eight sites in six locations over the period August 1980-July 1992. The sites are Barrow (Alaska), Cape Meares (Oregon), Cape Kumukahi and Mauna Loa (Hawaii), Cape Matatula (American Samoa), Cape Grim (Tasmania), Palmer Station, and the

Note: This page contains sample records for the topic "average monthly bill" 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

Climate: monthly and annual average relative humidity GIS data at  

Open Energy Info (EERE)

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

22

Climate: monthly and annual average atmospheric pressure GIS data at  

Open Energy Info (EERE)

atmospheric pressure GIS data at atmospheric pressure GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract):Atmospheric Pressure (kPa)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Atmospheric Pressure (kPa)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

23

Climate: monthly and annual average cooling degree days above...  

Open Energy Info (EERE)

at one-degree resolution of the World from NASASSE

(Abstract):
Cooling Degree Days above 10 C (degree days)
The monthly accumulation of degrees when...

24

Solar: monthly and annual average latitude tilt irradiance GIS...  

Open Energy Info (EERE)

& Annual Average (July 1983 - June 2005)
Parameter: Latitude Tilt Radiation (kWhm2day)
Internet: http:eosweb.larc.nasa.govsse
Note 1:...

25

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

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

26

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

Open Energy Info (EERE)

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

27

Wind: monthly and annual average wind GIS data at one-degree...  

Open Energy Info (EERE)

monthly and annual average wind GIS data at one-degree resolution of the World from NASASSE

(Abstract): Wind Speed At 50 m Above The Surface Of The Earth (m...

28

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

29

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

30

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

31

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

32

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

33

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

34

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

35

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

36

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

37

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

38

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

39

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

40

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

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


41

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

Open Energy Info (EERE)

49031 49031 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to

42

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

Open Energy Info (EERE)

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

43

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

Open Energy Info (EERE)

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

44

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

Open Energy Info (EERE)

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

45

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

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the

46

Wind: monthly and annual average wind GIS data at one-degree resolution of  

Open Energy Info (EERE)

monthly and annual average wind GIS data at one-degree resolution of monthly and annual average wind GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Wind Speed At 50 m Above The Surface Of The Earth (m/s)NASA Surface meteorology and Solar Energy (SSE) Release 5 Data Set (Jan. 2005)10-year Monthly & Annual Average (July 1983 - June 1993) Parameter: Wind Speed At 50 m Above The Surface Of The Earth (m/s) Internet: http://eosweb.larc.nasa.gov/sse/ Note: SSE Methodology & Accuracy sections online Created: October 4, 2005 See the NASA Surface meteorology and Solar Energy (SSE) web site at http://eosweb.larc.nasa.gov/sse/. The source data was downloaded from the SSE website at Data Retrieval: Meteorology and Solar Energy > Global data sets as text files. The tabular data was then converted to the shapefile format.

47

Average monthly gasoline price to fall to $3.43 by September  

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

monthly gasoline price to fall to $3.43 by September monthly gasoline price to fall to $3.43 by September The U.S. average monthly retail price of gasoline is expected to decline by about 18 cents per gallon between May and September, according to the new forecast from the U.S. Energy Information Administration. The lower price reflects, in part, slightly lower crude oil prices that account for about two-thirds of the cost at the pump. The largest price drops are expected in the Midwest states as refineries serving that region, which had been down for planned and unplanned maintenance, return to operation. For the year as a whole, the annual average retail gasoline price is forecasted to decline from $3.63 a gallon last year to $3.49 a gallon this year...and then drop to $3.37 per gallon in 2014

48

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

601 601 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142256601 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 10km resolution for Ethiopia from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Ethiopia for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country.

49

Troposphere-Stratosphere (Surface-55 km) Monthly Winter General Circulation Statistics for the Northern Hemisphere-Four Year Averages  

Science Conference Proceedings (OSTI)

Monthly mean Northern Hemisphere general circulation statistics are presented for the four-year average December, January and February months of the winters 197879 through 198182. These calculations start with daily maps for eighteen pressure ...

Marvin A. Geller; Mao-Fou Wu; Melvyn E. Gelman

1983-05-01T23:59:59.000Z

50

Solar: monthly and annual average global horizontal irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Global Horizontal IrradianceNASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Insolation Incident On A Horizontal Surface (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

51

Climate: monthly and annual average cooling degree days above 10° C GIS  

Open Energy Info (EERE)

cooling degree days above 10° C GIS cooling degree days above 10° C GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Cooling Degree Days above 10° C (degree days)The monthly accumulation of degrees when the daily mean temperature is above 10° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Cooling Degree Days Above 10 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180,

52

Climate: monthly and annual average heating degree days below 18° C GIS  

Open Energy Info (EERE)

heating degree days below 18° C GIS heating degree days below 18° C GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180,

53

Solar: monthly and annual average latitude tilt irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Latitude Tilt Irradiance NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Latitude Tilt Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are regional averages; not point data.

54

Climate: monthly and annual average Earth skin temperature GIS data at  

Open Energy Info (EERE)

Earth skin temperature GIS data at Earth skin temperature GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Earth Skin Temperature (° C)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Earth Skin Temperature (deg C)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

55

Solar: monthly and annual average direct normal irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Direct Normal Irradiance (kWh/m^2/day)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Direct Normal Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

56

Climate: monthly and annual average air temperature at 10 m GIS data at  

Open Energy Info (EERE)

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

57

NeuroInflow: The New Model to Forecast Average Monthly Inflow  

Science Conference Proceedings (OSTI)

In utilities using a mixture of hydroelectric and non-hydroelectricpower, the economics of the hydroelectricplants depend upon the reservoir height and the inflowinto the reservoir for several months into the future.Accurate forecasts of reservoir inflow ...

Muser Valena; Teresa Ludermir

2002-11-01T23:59:59.000Z

58

Long-Range Predictability in the Tropics. Part I: Monthly Averages  

Science Conference Proceedings (OSTI)

The sensitivity to initial and boundary conditions of monthly mean tropical long-range forecasts (114 weeks) during Northern Hemisphere winter is studied with a numerical model. Five predictability experiments with different combinations of ...

Thomas Reichler; John O. Roads

2005-03-01T23:59:59.000Z

59

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Kenya for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GIS Kenya solar SWERA UNEP Data text/csv icon Download Data (csv, 2.5 MiB) application/zip icon Download Shapefile (zip, 1.3 MiB)

60

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 solar SWERA UNEP Data text/csv icon Download Data (csv, 1 MiB) application/zip icon Download Shapefile (zip, 519.6 KiB)

Note: This page contains sample records for the topic "average monthly bill" 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

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

Open Energy Info (EERE)

West China from DLR West China from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for China for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 CRED CREIA DLR GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 4.4 MiB) text/csv icon Download Data (csv, 8.9 MiB)

62

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

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 Ghana GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 504 KiB) text/csv icon Download Data (csv, 1 MiB)

63

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Nepal for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GIS Nepal solar SWERA UNEP Data text/csv icon Download Data (csv, 1.2 MiB) application/zip icon Download Shapefile (zip, 600.4 KiB)

64

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

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ethiopia for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 Ethiopia GEF GHI GIS solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.8 MiB) text/csv icon Download Data (csv, 5.6 MiB)

65

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

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Nepal for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GEF GHI GIS Nepal solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 593.8 KiB) text/csv icon Download Data (csv, 1.2 MiB)

66

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

Open Energy Info (EERE)

Sri Lanka from DLR Sri Lanka from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Sri Lanka for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GHI GIS solar Sri Lanka SWERA UNEP Data text/csv icon Download Data (csv, 296.1 KiB) application/zip icon Download Shapefile (zip, 153.7 KiB)

67

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

China from DLR China from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for China for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 CRED CREIA DLR DNI GEF GIS solar SWERA UNEP Data text/csv icon Download Data (csv, 8.8 MiB) application/zip icon Download Shapefile (zip, 4.4 MiB)

68

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

Sri Lanka from DLR Sri Lanka from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Sri Lanka for the years 2000, 2002 and 2003. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GIS solar Sri Lanka SWERA UNEP Data application/zip icon Download Shapefile (zip, 155.1 KiB) text/csv icon Download Data (csv, 295.7 KiB)

69

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

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Kenya for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the documentation file for additional information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. 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 GEF GHI GIS Kenya NREL solar SWERA UNEP Data application/zip icon Download Shapefile (zip, 1.3 MiB) text/csv icon Download Data (csv, 2.5 MiB)

70

Bill Abolt  

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

Abolt Director Shaw Environmental Bill Abolt has been a leader in developing the market for energy efficiency and green initiatives in the greater Chicago Area. He was Mayor...

71

Insolation data manual: long-term monthly averages of solar radiation, temperature, degree-days and global anti K/sub T/ for 248 national weather service stations  

DOE Green Energy (OSTI)

Monthly averaged data is presented which describes the availability of solar radiation at 248 National Weather Service stations. Monthly and annual average daily insolation and temperature values have been computed from a base of 24 to 25 years of data. Average daily maximum, minimum, and monthly temperatures are provided for most locations in both Celsius and Fahrenheit. Heating and cooling degree-days were computed relative to a base of 18.3/sup 0/C (65/sup 0/F). For each station, global anti K/sub T/ (cloudiness index) were calculated on a monthly and annual basis. (MHR)

Knapp, C L; Stoffel, T L; Whitaker, S D

1980-10-01T23:59:59.000Z

72

When Utility Bills Attack! | Department of Energy  

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

When Utility Bills Attack! When Utility Bills Attack! When Utility Bills Attack! March 1, 2010 - 11:05am Addthis Amy Foster Parish It may come as a shock to my college math professor, but where my family's finances are concerned, I'm a budgeter. Just before a new month begins, I take some time to plan for the month's regular bills as well as any special events or holidays that might require setting some extra money aside. I even have a special notebook to track all this financial data (and shopping for a new notebook every year is half the fun of fiscal responsibility). But as proactive as I am with my monthly budgeting, I tend to be reactive when it comes to my monthly utility bills. I take a guess at what my bill will be at the beginning of the month, and then I'm either excited when the

73

Cut Your Power Bills  

E-Print Network (OSTI)

Electric power bills can often be reduced by careful attention to the inter-relationship between your plant operations and the electric rate schedule on which your bill is based. The pattern of use of electricity by your plant over a given time span is called its load profile. A continuous process operating 365 days a year would have a flat profile whether measured on a daily, weekly, monthly or yearly basis. But most plant profiles ere not flat because operations may not be consistent for three shifts a day, seven days a week, all year. Profile characteristics of interest to your utility are maximum demand, load factor, time of demand peaks and valleys and power factor. After discussing each of these characteristics below, we will discuss how electric rate schedules are designed, how they are analyzed, and where you can look for possible savings.

Greenwood, R. W.

1979-01-01T23:59:59.000Z

74

Monthly average clear-sky broadband irradiance database for worldwide solar heat gain and building cooling load calculations  

Science Conference Proceedings (OSTI)

This paper establishes the formulation of a new clear-sky solar radiation model appropriate for algorithms calculating cooling loads in buildings. The aim is to replace the ASHRAE clear-sky model of 1967, whose limitations are well known and are reviewed. The new model is derived in two steps. The first step consists of obtaining a reference irradiance dataset from the REST2 model, which uses a high-performance, validated, two-band clear-sky algorithm. REST2 requires detailed inputs about atmospheric conditions such as aerosols, water vapor, ozone, and ground albedo. The development of global atmospheric datasets used as inputs to REST2 is reviewed. For the most part, these datasets are derived from space observations to guarantee universality and accuracy. In the case of aerosols, point-source terrestrial measurements were also used as ground truthing of the satellite data. The second step of the model consists of fits derived from a REST2-based reference irradiance dataset. These fits enable the derivation of compact, but relatively accurate expressions, for beam and diffuse clear-sky irradiance. The fitted expressions require the tabulation of only two pseudo-optical depths for each month of the year. The resulting model, and its tabulated data, are expected to be incorporated in the 2009 edition of the ASHRAE Handbook of Fundamentals. (author)

Gueymard, Christian A. [Solar Consulting Services, P.O. Box 392, Colebrook, NH 03576 (United States); Thevenard, Didier [Numerical Logics Inc., 498 Edenvalley Cres., Waterloo, Ont. (Canada)

2009-11-15T23:59:59.000Z

75

omnibus appropriations bill likely  

Science Conference Proceedings (OSTI)

The outlook for spending bills is much like recent years, in which the House and Senate could not complete the normal process of each passing appropriations...

76

Average Commercial Price  

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

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

77

Bill Bradbury Jennifer Anders  

E-Print Network (OSTI)

Idaho James A. Yost Idaho Pat Smith Montana Tom Karier Washington Phil Rockefeller Washington September Anders Vice Chair Montana Henry Lorenzen Oregon W. Bill Booth Idaho James A. Yost Idaho Pat Smith Montana

78

Rhonda Whiting Bill Bradbury  

E-Print Network (OSTI)

Idaho W. Bill Booth Idaho Henry Lorenzen Oregon Tom Karier Washington Phil Rockefeller Washington August Carrier, U.S. Fish and Wildlife Service; Paul Kline, Idaho Department of Fish and Game; and Sue Ireland, Kootenai Tribe of Idaho, will discuss the recent budget and project management practices letters sent

79

Consumer Tips for Lowering Your Utility Bill | Open Energy Information  

Open Energy Info (EERE)

Consumer Tips for Lowering Your Utility Bill Consumer Tips for Lowering Your Utility Bill Jump to: navigation, search Whether you are a residential or commercial customer, your monthly utility bill contains a wide range of data such as how much energy you use, what your current rate is, and detailed fees. Depending on how much information your utility provider offers, you can refer to it along with these tips to reduce your energy use and save money. For in-depth tips on saving energy and money at home, visit EnergySavers.gov. If you have 13 months of historical data on your bill: See if you're using more energy now than you did during the same month last year. Are you using more energy? Look for ways to use less electricity such as purchasing energy efficient appliances and lighting and using a programmable thermostat.

80

Energy Efficiency & On-Bill Financing for Small Businesses  

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

Efficiency Efficiency & On-Bill Financing For Small Businesses Presentation for: Webinar DOE 05/11/2011 5/12/2011 Connecticut Energy Efficiency Fund (CEEF) Connecticut's Energy Efficiency Programs are funded by a Charge on Customer's electric bills. The Programs are designed to help customers manage their energy usage and cost. Objective PROVIDE > COST-EFFECTIVE, turn-key CONSERVATION and LOAD MANAGEMENT SERVICES to SMALL C&I CUSTOMERS. What qualifies as a SMALL BUSINESS? A "Mom & Pop" store with a $150 monthly electric bill up to a mid size manufacturing company with a $20,000 monthly electric bill. Examples: Retail, convenience stores, houses of worship, professional offices, non-profits, gas stations, restaurants, common areas of apartment buildings,

Note: This page contains sample records for the topic "average monthly bill" 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

Reduce Your Heating Bills with Better Insulation | Department of Energy  

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

Reduce Your Heating Bills with Better Insulation Reduce Your Heating Bills with Better Insulation Reduce Your Heating Bills with Better Insulation October 3, 2008 - 11:09am Addthis John Lippert If you pay your own energy bills, you don't need to be reminded that energy prices are escalating. Energy price projections for this coming winter are not encouraging. According to the Energy Information Administration, residential natural gas prices during the upcoming heating season (October though March) are projected to average $14.93 per Mcf, an increase of about 17% compared to last year's heating season. Residential heating oil prices are projected to average $4.13 per gallon this winter, an increase of about 25%. What if you live in an all-electric house? Many utilities are continuing to pursue retail electricity rate increases in response to power generation

82

Reduce Your Heating Bills with Better Insulation | Department of Energy  

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

Reduce Your Heating Bills with Better Insulation Reduce Your Heating Bills with Better Insulation Reduce Your Heating Bills with Better Insulation October 3, 2008 - 11:09am Addthis John Lippert If you pay your own energy bills, you don't need to be reminded that energy prices are escalating. Energy price projections for this coming winter are not encouraging. According to the Energy Information Administration, residential natural gas prices during the upcoming heating season (October though March) are projected to average $14.93 per Mcf, an increase of about 17% compared to last year's heating season. Residential heating oil prices are projected to average $4.13 per gallon this winter, an increase of about 25%. What if you live in an all-electric house? Many utilities are continuing to pursue retail electricity rate increases in response to power generation

83

Category:Billings, MT | Open Energy Information  

Open Energy Info (EERE)

MT MT Jump to: navigation, search Go Back to PV Economics By Location Media in category "Billings, MT" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Billings MT NorthWestern Corporation.png SVFullServiceRestauran... 64 KB SVHospital Billings MT NorthWestern Corporation.png SVHospital Billings MT... 62 KB SVLargeHotel Billings MT NorthWestern Corporation.png SVLargeHotel Billings ... 62 KB SVLargeOffice Billings MT NorthWestern Corporation.png SVLargeOffice Billings... 62 KB SVMediumOffice Billings MT NorthWestern Corporation.png SVMediumOffice Billing... 62 KB SVMidriseApartment Billings MT NorthWestern Corporation.png SVMidriseApartment Bil... 63 KB SVOutPatient Billings MT NorthWestern Corporation.png SVOutPatient Billings ...

84

Building 9213s earliest history ? Bill Sergeant  

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

from Bill Sergeant. Bill's memory is amazing. When I write about the times when Bill was "living the experiences," he often adds valuable content to the history. Such is the case...

85

politics factors into climate bill, too  

Science Conference Proceedings (OSTI)

06/2 - POLITICS FACTORS INTO CLIMATE BILL, TOO. In A 987-page bill, six committees with jurisdiction, a mammoth oil spill to consider, no bipartisan support,...

86

FARM BILL PROGRAMS Background: Why are Farm Bill Programs Important  

E-Print Network (OSTI)

Farm Bill conservation programs have the potential to proactively restore and conserve wildlife habitat and species, both for species already listed, but more importantly, to prevent additional listings. Farm Bill conservation incentives programs are applicable to all ecosystem types where farming, ranching and forestry still take place. Current programs target about 75 % of the rural landscape, thus a multitude of ecosystem types can be addressed. Additionally, the amount of funding authorized in the 2002 Farm Bill for resource conservation is over $5 billion a year, which dwarfs any other item in the federal budget for resource conservation. A portion of this funding is directly aimed at wildlife habitat or species restoration and conservation activities. Lastly, Farm Bill incentive programs are voluntary and preventative in nature, thereby having the potential to supplement a more regulatory approach. Although most are aimed at improving water quality and stemming soil erosion, Farm Bill conservation programs may have indirect beneficial impacts for wildlife habitat. The Wildlife Habitat Incentives Program, the Wetland Reserve Program, and in some places the Conservation Reserve Enhancement Program, are directed at wildlife habitat for both listed and non-listed species at risk. The primary problem with determining the impacts of Farm Bill programs that

George Boody (l

2004-01-01T23:59:59.000Z

87

from Microsoft's Bill Gates. Summer  

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

Power surge (page 2) Developing fuel for next- generation nuclear reactors, with backing from Microsoft's Bill Gates. Summer fun (pages 4-5) All aboard a bus or train and tour Y-12...

88

Comparison groups on bills: Automated, personalized energy information  

SciTech Connect

A program called ``Innovative Billing?? has been developed to provide individualized energy information for a mass audience?the entireresidential customer base of an electric or gas utility. Customers receive a graph on the bill that compares that customer?s consumption with othersimilar customers for the same month. The program aims to stimulate customers to make ef?ciency improvements. To group as many as severalmillion customers into small ``comparison groups??, an automated method must be developed drawing solely from the data available to the utility.This paper develops and applies methods to compare the quality of resulting comparison groups.A data base of 114,000 customers from a utility billing system was used to evaluate Innovative Billing comparison groups, comparing fouralternative criteria: house characteristics (?oor area, housing type, and heating fuel); street; meter read route; billing cycle. Also, customers wereinterviewed to see what forms of comparison graphs made most sense and led to fewest errors of interpretation. We ?nd that good qualitycomparison groups result from using street name, meter book, or multiple house characteristics. Other criteria we tested, such as entire cycle, entiremeter book, or single house characteristics such as ?oor area, resulted in poor quality comparison groups. This analysis provides a basis forchoosing comparison groups based on extensive user testing and statistical analysis. The result is a practical set of guidelines that can be used toimplement realistic, inexpensive innovative billing for the entire customer base of an electric or gas utility.

Iyer, Maithili; Kempton, Willett; Payne, Christopher

2006-07-01T23:59:59.000Z

89

Bill Lewis | Department of Energy  

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

Bill Lewis Bill Lewis About Us Bill Lewis William A. Lewis, Jr. was appointed Deputy Director of the Office of Civil Rights and Diversity in October 2005. Prior to this appointment, Mr. Lewis was named Director, Office of Employee Concerns, as part of a Secretarial Whistleblower initiative on October 1, 1996. The Employee Concerns Office at the United States Department of Energy Headquarters was established to provide the necessary leadership and policy guidance to employee concerns programs at the Department's major facilities. In February 2002, Mr. Lewis was named the National Ombudsman for the Department, a position he held for three years. Prior to these appointments, Mr. Lewis served as the Director of the Office of Science Education Programs. Mr. Lewis joined the Department of Energy in July 1992 and became a member

90

Bill Valdez | Department of Energy  

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

Bill Valdez Bill Valdez About Us Bill Valdez - Principal Deputy Director Mr. Valdez is the Principal Deputy Director of the Office of Economic Impact and Diversity (ED). Mr. Valdez's career with the Department of Energy spans over 17 years, providing him with extensive knowledge in the areas of workforce development, budget planning, diversity and equal opportunity issues, science policy, corporate and strategic planning, and contract management. In his current position, Mr. Valdez plays a pivotal role in setting overall strategic direction for DOE's diversity, minority education, civil rights, and small business initiatives and activities. Mr. Valdez works with Department program offices to develop a corporate funding strategy for minority institutions to ensure that faculty and

91

Section I: FUEL BILLS - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Section I: FUEL BILLS I-1 In this interview you have told me how your household uses energy. ... What portion of the electric bill is for non-household uses?

92

average | OpenEI  

Open Energy Info (EERE)

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

93

Net Energy Billing | Department of Energy  

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

Energy Billing Energy Billing Net Energy Billing < Back Eligibility Agricultural Commercial Industrial Institutional Low-Income Residential Multi-Family Residential Nonprofit Residential Schools Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State Maine Program Type Net Metering Provider Maine Public Utilities Commission All of Maine's electric utilities -- investor-owned utilities (IOUs), consumer-owned utilities (COUs), which include municipal utilities and electric cooperatives -- must offer net energy billing for individual customers. Furthermore IOUs are required to offer net metering for shared ownership customers, while COUs may offer net metering to shared ownership

94

Q&A with Bill Christie  

Science Conference Proceedings (OSTI)

Catherine Watkins, associate editor of inform, recently posed a series of questions to the creator of The Lipid Library, William W. Christie Q&A with Bill Christie ...

95

PIA - FBI Billing System | Department of Energy  

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

& Publications PIA - Security Clearance Work Tracking and Budget System Office of Personnel Management (OPM) Billing System PIA, Office of Health, Safety and Security TRAIN-PIA.pdf...

96

Alternative Underwriting Criteria - Using Utility Bill Payment...  

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

Alternative Underwriting Criteria - Using Utility Bill Payment History as a Proxy for Credit: Case Study on Clean Energy Works Oregon Title Alternative Underwriting Criteria -...

97

Monthly Reports  

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

Environmental Management Monthly Reports - FY 2012 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

98

Monthly Reports  

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

Environmental Management Monthly Reports - FY 2013 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

99

How to Save on Energy Bills When Buying a New Home | Department of Energy  

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

How to Save on Energy Bills When Buying a New Home How to Save on Energy Bills When Buying a New Home How to Save on Energy Bills When Buying a New Home June 26, 2013 - 2:09pm Addthis When considering a new home, keep energy efficiency in mind. | Photo courtesy of Warren Gretz, NREL 08742 When considering a new home, keep energy efficiency in mind. | Photo courtesy of Warren Gretz, NREL 08742 This chart shows how much energy a typical appliance uses per year and its corresponding cost based on national averages. For example, a refrigerator uses almost five times the electricity the average television uses. This chart shows how much energy a typical appliance uses per year and its corresponding cost based on national averages. For example, a refrigerator uses almost five times the electricity the average television uses.

100

How to Save on Energy Bills When Buying a New Home | Department of Energy  

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

How to Save on Energy Bills When Buying a New Home How to Save on Energy Bills When Buying a New Home How to Save on Energy Bills When Buying a New Home June 26, 2013 - 2:09pm Addthis When considering a new home, keep energy efficiency in mind. | Photo courtesy of Warren Gretz, NREL 08742 When considering a new home, keep energy efficiency in mind. | Photo courtesy of Warren Gretz, NREL 08742 This chart shows how much energy a typical appliance uses per year and its corresponding cost based on national averages. For example, a refrigerator uses almost five times the electricity the average television uses. This chart shows how much energy a typical appliance uses per year and its corresponding cost based on national averages. For example, a refrigerator uses almost five times the electricity the average television uses.

Note: This page contains sample records for the topic "average monthly bill" 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

Petroleum Supply Monthly  

U.S. Energy Information Administration (EIA)

Energy Information Administration/Petroleum Supply Monthly, October 2011 11 Table 4. U.S. Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum ...

102

The Honorable Bill Johnson j.  

Office of Legacy Management (LM)

- Department of En&gy, - Department of En&gy, Washington, DC 20585 \APR 0 3 7995 The Honorable Bill Johnson j. 30 Church Street, Rochester, New-York 14614 / Dear MayorJohnson: 'I Secretary of Energy Hazel O'Leary has announced a'nei approach to openness in the Department of'Energy (DDE) and its communications with the public. In, support of this initiative, we are pleased to forward the enclosed info&tion related to the former University of. Rochester site in, your jurisdiction performed work for DOE or its predecessor agencies. Thins information is provided for your information, use, and retqntion. DDE's Formerly Utilized SitesRemedial Action Program.isI responsible for identification of sites used by DOE's predecessor agencies, determining current 'radiological condition.'and, where, it has authority, performing

103

Reducing the Federal Energy Bill  

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

1 1 Reducing the Federal Energy Bill Berkeley Lab's Work with the Federal Energy Management Program It costs billions of dollars and uses more energy than any other entity in the United States. What is it? Answer: the Federal government. In fiscal year 1995, the Federal government spent $8 billion on a net energy consumption of 1.15 quadrillion BTUs. While that may be a lot of energy in absolute terms, the numbers have been improving for years. Compared with fiscal year 1985, the 1995 energy-use figure is down by 22.5%, and the costs are down $2.5 billion. The decline is explained in part by the activities of FEMP (the Federal Energy Management Program) and the efforts of energy-efficiency experts at national laboratories, such as those at Berkeley Lab's Environmental Energy

104

Senate Bill (SB) 1305 - Power Marketing - Sierra Nevada Region...  

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

Senate Bill 1305 Senate Bill 1305 State Senate Bill 1305 is a mandate that requires suppliers of energy to report their sources of generation under certain conditions. Munis must...

105

Using QECBs for Public Building Upgrades: Reducing Energy Bills...  

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

Public Building Upgrades: Reducing Energy Bills in the City of Philadelphia Title Using QECBs for Public Building Upgrades: Reducing Energy Bills in the City of Philadelphia...

106

Money for Research, Not for Energy Bills: Finding Energy and...  

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

Not for Energy Bills: Finding Energy and Cost Savings in High Performance Computer Facility Designs Title Money for Research, Not for Energy Bills: Finding Energy and Cost...

107

Evaluatoni of Automated Utility Bill Calibration Methods  

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

NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Evaluation of Automated Utility Bill Calibration Methods BA Technical Update Meeting Ben Polly, Joe Robertson 04/30/13 Utility Bill Calibration * "Calibrate" or "true-up" building energy models to utility bill data to increase the accuracy of retrofit savings predictions * Calibration methods typically involve adjusting input parameters * Predict retrofit savings using the adjusted (calibrated) model 2 Background: BESTEST-EX * BESTEST-EX is a suite for testing calibration methods and retrofit savings predictions associated with audit software * Field trials showed that:

108

Bill Nye (Energy All Stars Presentation)  

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

Bill Nye the Science Guy delivered this presentation on space and the lessons about climate change that can be gleaned from the other planets in our solar system at the Energy All Stars event on...

109

Feasibility of an appliance energy testing and labeling program for Sri Lanka  

E-Print Network (OSTI)

average monthly electricity bill of the survey respondents19% of an average household electricity bill or reducing theof Sri Lanka in electricity bills. However, it is likely

Biermayer, Peter; Busch, John; Hakim, Sajid; Turiel, Issac; du Pont, Peter; Stone, Chris

2000-01-01T23:59:59.000Z

110

Averaging-Related Biases in Monthly Latent Heat Fluxes  

Science Conference Proceedings (OSTI)

Seasonal-to-multidecadal applications that require ocean surface energy fluxes often require accuracies of surface turbulent fluxes to be 5 W m?2 or better. While there is little doubt that uncertainties in the flux algorithms and input data can ...

Paul J. Hughes; Mark A. Bourassa; Jeremy J. Rolph; Shawn R. Smith

2012-07-01T23:59:59.000Z

112

Observing AAPI Heritage Month | Department of Energy  

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

Observing AAPI Heritage Month Observing AAPI Heritage Month Observing AAPI Heritage Month May 1, 2012 - 4:42pm Addthis Bill Valdez Bill Valdez Principal Deputy Director What are the key facts? President Obama has also appointed a historic number of highly qualified Asian Americans and Pacific Islanders to senior positions in his Administration Throughout May,the White House Initiative on Asian Americans and Pacific Islanders will be sharing the many ways in which the Obama Administration has helped the Asian American and Pacific Islander community. White House Initiative on Asian Americans and Pacific Islanders Editor's Note: This blog originally appeared on the White House Blog, and is authored by Chris Lu, Assistant to the President and Cabinet Secretary. He is also the Co-Chair of the White House Initiative on Asian

113

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: November 2011 Electric Power Sector Coal Stocks: November 2011 Stocks As discussed in this month's feature story, electric power sector coal stocks continued to replenish after the summer burn in November, though stockpile levels remain below 2010 and 2009 levels. All coal stockpile levels declined from November 2010, with bituminous coal stockpile levels 9 percent lower than the same month of 2010. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plantâ€(tm)s current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants dropped slightly from last month and remained below levels seen in November of 2010 or 2009. While

114

End of Month Working  

Gasoline and Diesel Fuel Update (EIA)

The level of gas in storage at the end of the last heating season (March The level of gas in storage at the end of the last heating season (March 31, 2000) was 1,150 billion cubic feet (Bcf), just above the 1995-1999 average of 1,139 Bcf. Underground working gas storage levels are currently about 8-9 percent below year-ago levels. In large part, this is because injection rates since April 1 have been below average. Storage injections picked up recently due to warm weather in the last half of October. The month of November is generally the last month available in the year for injections into storage. A cold November would curtail net injections into storage. If net injections continue at average levels this winter, we project that storage levels will be low all winter, reaching a level of 818 Bcf at the end of March, the lowest level since 1996

115

Stakeholder Engagement and Outreach: USDA Farm Bill State Workshop  

Wind Powering America (EERE)

Rural Rural Communities Printable Version Bookmark and Share Agricultural & Rural Farm Bill Outreach Articles Wind for Homeowners, Farmers, & Businesses Wind Farms Resources & Tools Native Americans USDA Farm Bill State Workshop Materials The Farm Bill presentations below were used at four Farm Bill Workshops in Montana, February 2004. We encourage state wind working groups to use the presentations below in their state workshops to help farmers, ranchers, and rural small businesses take advantage of the USDA Farm Bill (Section 9006) grants for renewable energy projects. These presentations will help those interested in developing wind projects to organize, write, and submit an application for funding assistance under the Farm Bill. Introduction to Wind Energy Applications

116

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

Gasoline and Diesel Fuel Update (EIA)

1994 January ........................... 89.6 91.0 90.2 83.8 88.4 80.4 87.3 88.8 92.1 102.5 February ......................... 92.9 94.6 93.8 90.4 91.3 86.6 91.4 92.3 91.5 105.5 March .............................. 91.4 92.5 92.1 85.9 88.3 83.6 89.4 91.0 91.2 102.0 April ................................ 88.2 89.0 89.4 80.8 86.0 78.2 85.1 88.3 89.2 93.7 May ................................. 86.1 86.6 85.4 76.8 85.1 75.4 83.3 86.7 84.4 83.1 June ................................ 85.2 85.6 86.1 75.6 83.7 73.1 82.3 84.6 82.0 W July ................................. 82.7 83.1 84.2 75.6 82.1 71.8 81.6 83.0 80.5 W August ............................ 82.1 82.4 79.7 78.0 78.7 72.8 84.0 83.8 82.3 81.9 September ...................... 83.2 83.7 80.5 78.5 81.1 72.9 84.7 83.3 83.1 86.2 October ........................... 84.7

117

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

Gasoline and Diesel Fuel Update (EIA)

1995 January ........................... 86.9 87.6 86.7 77.8 84.8 78.4 87.3 85.7 88.4 102.4 February ......................... 87.4 88.2 87.8 77.4 84.9 78.5 87.3 85.9 88.5 103.4 March .............................. 86.6 87.3 87.0 76.3 82.5 77.7 87.0 85.6 87.6 103.3 April ................................ 85.4 85.8 85.2 76.7 81.9 76.6 86.5 84.8 87.0 100.0 May ................................. 86.4 86.9 86.5 78.7 84.7 75.8 86.1 84.5 85.2 93.2 June ................................ 84.6 85.2 84.2 78.1 82.5 74.5 83.2 83.9 83.0 NA July ................................. 82.0 82.4 79.4 76.9 80.6 72.9 81.7 81.7 80.0 85.1 August ............................ 80.7 81.1 77.4 76.7 80.9 73.0 85.3 81.7 82.1 W September ...................... 82.3 82.7 79.2 76.2 81.7 73.8 84.9 82.5 82.4 86.1 October ...........................

118

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

Gasoline and Diesel Fuel Update (EIA)

1997 January ........................... 107.9 109.0 108.6 105.2 106.5 102.1 107.0 104.4 106.5 130.4 February ......................... 105.1 106.0 105.2 102.2 103.4 101.0 104.5 103.5 104.2 127.0 March .............................. 101.6 102.5 99.3 94.3 97.7 98.6 100.4 103.1 100.7 121.4 April ................................ 99.2 100.3 97.6 90.9 95.9 95.2 99.4 100.4 100.1 116.3 May ................................. 96.4 97.1 93.4 90.6 93.0 91.9 97.3 97.7 96.4 108.6 June ................................ 92.3 92.9 89.9 88.1 89.1 89.1 93.3 92.9 90.8 99.9 July ................................. 88.3 88.7 83.7 86.7 87.5 85.6 91.6 91.1 88.8 W August ............................ 86.9 86.8 84.2 85.8 84.7 85.3 91.0 92.7 89.2 W September ...................... 88.7 89.0 85.5 87.0 87.0 86.3 91.2 91.7 88.5 NA October ...........................

119

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

Gasoline and Diesel Fuel Update (EIA)

1996 January ........................... 94.6 96.1 94.5 93.0 92.0 89.1 94.9 92.6 94.7 111.7 February ......................... 95.9 97.5 96.2 93.2 93.8 90.8 95.6 93.7 94.4 112.9 March .............................. 99.1 100.6 99.6 96.7 99.3 93.8 99.7 97.3 96.1 117.7 April ................................ 101.5 102.7 102.1 98.7 101.5 96.5 98.8 100.3 100.7 115.9 May ................................. 97.8 98.1 96.8 95.4 95.9 93.6 94.9 98.8 98.0 109.7 June ................................ 91.0 91.3 88.8 90.1 87.9 87.2 88.7 92.2 91.9 102.5 July ................................. 87.9 88.0 84.9 87.5 87.5 83.6 87.7 88.5 91.0 97.3 August ............................ 88.1 88.2 84.0 89.5 89.0 85.1 88.3 89.0 91.0 99.2 September ...................... 94.5 94.4 92.5 96.4 93.1 91.9 96.6 94.4 95.3 106.2 October ...........................

120

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

Gasoline and Diesel Fuel Update (EIA)

1993 January ........................... 94.3 95.7 94.9 85.2 94.0 87.1 91.7 93.4 91.2 105.2 February ......................... 94.6 95.9 96.2 85.4 94.4 86.9 91.8 93.3 90.8 106.8 March .............................. 95.4 96.5 96.7 86.4 94.8 86.6 92.4 93.7 92.4 108.5 April ................................ 92.6 93.4 93.6 83.0 91.5 84.5 90.4 91.2 91.6 106.7 May ................................. 91.1 91.7 91.6 81.7 91.1 83.9 90.7 91.3 89.4 104.3 June ................................ 88.9 89.4 88.6 81.1 88.6 82.4 87.6 89.7 90.6 100.4 July ................................. 85.6 85.9 86.5 78.5 83.9 78.3 85.2 85.5 86.4 100.2 August ............................ 84.1 84.6 84.0 77.4 83.4 76.0 82.7 85.6 83.5 96.1 September ...................... 85.5 85.8 84.2 78.3 83.8 74.9 84.8 86.6 84.6 95.5 October ...........................

Note: This page contains sample records for the topic "average monthly bill" 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

Senate Bill No. 1 CHAPTER 132  

E-Print Network (OSTI)

, Murray. Electricity: solar energy: net metering. (1) Existing law requires the State Energy Resources sources of energy, including solar resources. Existing law requires the Energy Commission to develop of solar energy and to provide maximum information to the public concerning solar devices. This bill would

122

Advanced Billing and Customer Specification Requirements  

Science Conference Proceedings (OSTI)

The ability to bill and serve customers well will be key to whether an energy company ultimately succeeds in the emerging retail marketplace. This document provides the essential planning and implementation framework needed by an energy company to reconstruct its back-office to meet these objectives.

1997-09-24T23:59:59.000Z

123

Assembly Bill No. 1632 CHAPTER 722  

E-Print Network (OSTI)

capability both in and out of state, natural gas interstate and intrastate pipeline capacity, storage and use the commission, in its report, to consider electricity and natural gas forecasting and assessment activities, as specified, in reporting on electricity and natural gas markets. This bill would require the commission

124

Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability  

E-Print Network (OSTI)

the ?uctuations in electricity bills that are conceivable.concern about analyzing electricity bill volatility of largeat a The issue of electricity bill volatility from RTP

Borenstein, Severin

2007-01-01T23:59:59.000Z

125

AVERAGE SHIFTED HISTOGRAM  

Science Conference Proceedings (OSTI)

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

2010-12-06T23:59:59.000Z

126

Home Performance with ENERGY STAR: Utility Bill Analysis on Homes Participating in Austin Energy's Program  

SciTech Connect

Home Performance with ENERGY STAR (HPwES) is a jointly managed program of the U.S. Department of Energy (DOE) and the U.S. Environmental Protection Agency (EPA). This program focuses on improving energy efficiency in existing homes via a whole-house approach to assessing and improving a home's energy performance, and helping to protect the environment. As a local sponsor for HPwES, Austin Energy's HPwES program offers a complete home energy assessment and a list of recommendations for efficiency improvements, along with cost estimates. The owner can choose to implement only one or the complete set of energy conservation measures. Austin Energy facilitates the process by providing economic incentives to the homeowner through its HPwES Loan program and its HPwES Rebate program. In 2005, the total number of participants in both programs was approximately 1,400. Both programs are only available for improvements made by a participating HPwES contractor. The individual household billing data - encompassing more than 7,000 households - provided by Austin Energy provides a rich data set to estimate the impacts of its HPwES program. The length of the billing histories is sufficient to develop PRISM-type models of electricity use based on several years of monthly bills before and after the installation of the conservation measures. Individual household savings were estimated from a restricted version of a PRISM-type regression model where the reference temperature to define cooling (or heating degree days) was estimated along with other parameters. Because the statistical quality of the regression models varies across individual households, three separate samples were used to measure the aggregate results. The samples were distinguished on the basis of the statistical significance of the estimated (normalized) cooling consumption. A normalized measure of cooling consumption was based on average temperatures observed over the most recent nine-year period ending in 2006. This study provided a statistically rigorous approach to incorporating the variability of expected savings across the households in the sample together with the uncertainty inherent in the regression models used to estimate those savings. While the impact of the regression errors was found to be relatively small in these particular samples, this approach may be useful in future studies using individual household billing data. The median percentage savings for the largest sample of 6,000 households in the analysis was 32%, while the mean savings was 28%. Because the number of households in the sample is very large, the standard error associated with the mean percentage savings are very small, less than 1%. A conservative statement of the average savings is that is falls in the range of 25% to 30% with a high level of certainty. This preliminary analysis provides robust estimates of average program savings, but offers no insight into how savings may vary by type of conservation measure or whether savings vary by the amount of cooling electricity used prior to undertaking the measure. Follow-up researchers may want to analyze the impacts of specific ECMs. Households that use electricity for heating might also be separately analyzed. In potential future work several methodological improvements could also be explored. As mentioned in Section 2, there was no formal attempt to clean the data set of outliers and other abnormal patterns of billing data prior to the statistical analysis. The restriction of a constant reference temperature might also be relaxed. This approach may provide evidence as to whether any 'take-back' efforts are present, whereby thermostat settings are lowered during the summer months after the measures are undertaken (reflected in lower reference temperatures in the post-ECM period). A more extended analysis may also justify the investment in and use of the PRISM software package, which may provide more diagnostic measures with respect to the reference temperature. PRISM also appears to contain some built-in capability to detect outliers and other an

Belzer, D.; Mosey, G.; Dagher, L.; Plympton, P.

2008-01-01T23:59:59.000Z

127

ARPA-E Announces 2012 Energy Innovation Summit Featuring Bill...  

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

Announces 2012 Energy Innovation Summit Featuring Bill Gates, Fred Smith and Lee Scott ARPA-E Announces 2012 Energy Innovation Summit Featuring Bill Gates, Fred Smith and Lee Scott...

128

Electric Power Monthly - Monthly Data Tables Monthly electricity...  

Open Energy Info (EERE)

Electric Power Monthly - Monthly Data Tables Monthly electricity generation figures (and the fuel consumed to produce it). Source information available at

129

Billings, Montana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Billings, Montana: Energy Resources Billings, Montana: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 45.7832856°, -108.5006904° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.7832856,"lon":-108.5006904,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

130

Billings, Montana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Billings, MT) Billings, MT) Jump to: navigation, search Equivalent URI DBpedia Coordinates 45.7832856°, -108.5006904° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.7832856,"lon":-108.5006904,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

131

Alternatives for reducing hot-water bills  

DOE Green Energy (OSTI)

A two stage approach to reducing residential water heating bills is described. In Stage I, simple conservation measures were included to reduce the daily hot water energy consumption and the energy losses from the water tank. Once these savings are achieved, Stage II considers more costly options for further reducing the water heating bill. Four alternatives are considered in Stage II: gas water heaters; solar water heaters (two types); heat pump water heaters; and heat recovery from a heat pump or air conditioner. To account for variations within the MASEC region, information on water heating in Rapid City, Minneapolis, Chicago, Detroit, and Kansas City is presented in detail. Information on geography, major population centers, fuel prices, climate, and state solar incentives is covered. (MCW)

Bennington, G.E.; Spewak, P.C.

1981-06-01T23:59:59.000Z

132

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: October 2013 Electric Power Sector Coal Stocks: October 2013 Stocks In October 2013, total coal stocks increased 0.8 percent from the previous month. This follows the normal seasonal pattern for this time of year as the country begins to build up coal stocks to be consumed during the winter months. Compared to last October, coal stocks decreased 17.7 percent. This occurred because coal stocks in October 2012 were at an extremely high level. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The total bituminous supply decreased from 85 days the previous month to 78 days in October 2013, while the total subbituminous supply decreased from 63 days in September 2013 to

133

Petroleum Supply Monthly - Energy Information Administration  

U.S. Energy Information Administration (EIA)

30 Energy Information Administration/Petroleum Supply Monthly, October 2011 Table 24. PAD District 5 - Year-to-Date Daily Average Supply and Disposition of Crude Oil ...

134

Apartment Hunting - Part II - Keeping those Energy Bills Down |  

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

- Part II - Keeping those Energy Bills Down - Part II - Keeping those Energy Bills Down Apartment Hunting - Part II - Keeping those Energy Bills Down August 23, 2010 - 5:17pm Addthis Kyle Rudzinski Special Assistant to the Director of Technology Advancement and Outreach, EERE I recently went looking for a new apartment. And though my parents may say I'm stingy, I like to think I'm economical. Or better yet, I'm a bargain hunter. I asked myself three main questions when looking for my new place: How far is it from public transit and community businesses? Can I keep my energy bills to a minimum? What's the rent? In the second of two entries on apartment hunting, I discuss things to look for that might help keep your energy bills low. When you think about it, energy bills can, in effect, increase your rent

135

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

March 2012 | Release Date: May 29, 2012 | Next March 2012 | Release Date: May 29, 2012 | Next Release Date: June 26, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: March 2012 Average natural gas prices at the Henry Hub declined for the eighth straight month leading to a nearly 40% increase in consumption for electricity during March 2012. The warmest March on record for much of the central U.S. drove a 5% decrease in residential retail sales when compared to March 2011. U.S. coal supplies as measured by days of burn were above 80 days for the third straight month in March as declining coal consumption drove

136

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: February 2012 Electric Power Sector Coal Stocks: February 2012 Stocks The unseasonably warm temperatures that the continental United States experienced throughout the winter, coupled with low natural gas prices, caused coal stocks at power plants to increase throughout the winter of 2011 - 2012. During this period, coal stocks usually see a seasonal decline due to the added need for electricity generation from coal plants for spacing heating load. However, it was the sixth straight month that coal stocks increased from the previous month, with this trend likely to continue as the country enters into spring. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current

137

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: March 2012 Highlights: March 2012 Average natural gas prices at the Henry Hub declined for the eighth straight month leading to a nearly 40% increase in consumption for electricity during March 2012. The warmest March on record for much of the central U.S. drove a 5% decrease in residential retail sales when compared to March 2011. U.S. coal supplies as measured by days of burn were above 80 days for the third straight month in March as declining coal consumption drove coal stockpile increases. Key Indicators Mar 2012 % Change from Mar 2011 Total Net Generation (Thousand MWh) 309,709 -2.9% Residential Retail Price (cents/kWh) 11.76 1.5% Retail Sales (Thousand MWh) 282,453 -2.6% Heating Degree-Days 377 -36.4% Natural Gas Price, Henry Hub ($/MMBtu) 2.22 -45.7% Coal Stocks

138

Electric power monthly  

SciTech Connect

The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed for the North American Electric Reliability Council (NERC) regions. Additionally, statistics by company and plant are published in the EPM on capability of new plants, new generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel.

1992-05-01T23:59:59.000Z

139

Electric power monthly  

SciTech Connect

The Energy Information Administration (EIA) prepares the Electric Power Monthly (EPM) for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. This publication provides monthly statistics for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source, consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead.

1995-08-01T23:59:59.000Z

140

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Coal Stocks: August 2011 Coal Stocks: August 2011 Stocks Coal stocks continued the usual summer decline as utilities burned into their summer stockpile in August. Sigificant declines from August 2010 were seen in total coal stockpiles, driven by a 14 percent drop in bituminous coal stockpiles as well as a 10 percent drop in subbituminous coal stockpiles. Lignite stockpiles declined by 6 percent over the same time period. Days of burn The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants increased slightly in August 2011 compared to previous months. This was largely driven by increases in

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


141

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: September 2011 Electric Power Sector Coal Stocks: September 2011 Stocks Electric power sector coal stocks continued to replenish after the summer burn in October, though stockpile levels remain well below 2010 levels. All coal stockpile levels declined from October 2010, with bituminous coal stockpile levels 12 percent lower than the same month of 2010. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants was generally flat in October 2011 compared to September of this year. The summer of 2011 saw significant declines in total U.S. stockpile levels, which were replenished in the

142

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Reports Electricity Reports Electricity Monthly Update With Data for October 2013 | Release Date: Dec. 20, 2013 | Next Release Date: Jan. 22, 2014 Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: October 2013 Thirty-one states saw the average cost of electricity increase by more than two percent, with fourteen states experiencing increases of at least five percent compared to a year ago. Texas (ERCOT) and the Midwest (MISO) experienced above average wholesale electricity prices for October due to unseasonable temperatures. The New York City (Transco Zone 6 NY) natural gas price was

143

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: December 2011 Electric Power Sector Coal Stocks: December 2011 Stocks Temperate weather throughout the fall has allowed electric power sector coal stocks to replenish from the summer burn. All coal stockpile levels were essentially flat when compared to December 2010 and were a mostly up year-to-date. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plantâ€(tm)s current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants was essentially flat compared to last month and remained below levels seen in December of 2010 or 2009. While stockpile levels have recovered from summer lows, the increasing

144

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

U.S. Energy Information Administration (EIA)

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

145

Average Commercial Price  

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

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

146

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

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

147

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

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

148

Average Residential Price  

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

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

149

E:\BILLS\H6.PP  

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

July 14, 2005 July 14, 2005 Ordered to be printed as passed In the Senate of the United States, June 28, 2005. Resolved, That the bill from the House of Representa- tives (H.R. 6) entitled ''An Act to ensure jobs for our future with secure, affordable, and reliable energy.'', do pass with the following AMENDMENT: Strike out all after the enacting clause and insert: SECTION 1. SHORT TITLE; TABLE OF CONTENTS. 1 (a) SHORT TITLE.-This Act may be cited as the ''En- 2 ergy Policy Act of 2005''. 3 2 HR 6 PAP (b) TABLE OF CONTENTS.-The table of contents of this 1 Act is as follows: 2 Sec. 1. Short title; table of contents. Sec. 2. Definitions. TITLE I-ENERGY EFFICIENCY Subtitle A-Federal Programs Sec. 101. Energy and water saving measures in congressional buildings. Sec. 102. Energy management requirements.

150

A leasing instances based billing model for cloud computing  

Science Conference Proceedings (OSTI)

As a new technology in IT industry, cloud computing has been much focused by both academia and industry. And many topics in cloud computing are under study. However, as one of the most important issue, billing and pricing has been not so much concerned. ... Keywords: billing model, cloud computing, leasing instances, pricing

Qin Yuan; Zhixiang Liu; Junjie Peng; Xing Wu; Jiandun Li; Fangfang Han; Qing Li; Wu Zhang; Xinjin Fan; Shengyuan Kong

2011-05-01T23:59:59.000Z

151

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

Monthly Annual Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History District of Columbia 13.69 13.90 12.99 12.26 12.24 11.19 1980-2012 Florida 13.07 14.45 11.09 10.60 11.14 10.41 1967-2012 Georgia 13.21 14.30 11.70 10.95 10.51 9.74 1967-2012 Maryland 12.30 13.12 10.87 9.87 10.29 10.00 1967-2012 Michigan 10.02 10.66 9.38 8.95 9.14 8.35 1967-2012 New Jersey 12.10 13.38 10.20 10.11 9.51 8.50 1967-2012 New York 11.82 12.86 10.72 10.88 9.32 7.84 1967-2012 Ohio 11.74 12.77 10.42 9.25 8.55 7.11 1967-2012 Pennsylvania 12.77 14.29 11.83 10.47 10.42 10.24 1967-2012 Virginia

152

DOE Average Results  

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

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

153

The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California  

E-Print Network (OSTI)

a direct comparison of electricity bills between customersincludes both bill credits for electricity exported to thethe meter). Bill credits for PV electricity production in

Darghouth, Naim

2010-01-01T23:59:59.000Z

154

Average Residential Price  

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

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

155

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

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

156

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

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

157

Arkansan Worker Cuts Bills After Auto Job Layoff | Department of Energy  

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

Arkansan Worker Cuts Bills After Auto Job Layoff Arkansan Worker Cuts Bills After Auto Job Layoff Arkansan Worker Cuts Bills After Auto Job Layoff November 24, 2009 - 3:34pm Addthis Joshua DeLung The wind used to howl around the doors and through the attic of Thomas Lee's house. It's an older brick home with poor insulation located just outside the city limits of Tyronza, Ark. The furnace never seemed to kick off in the winter, and keeping his family warm was a constant battle, Thomas says, one that cost him close to $100 extra each month in the winter. Thomas is 51 years old and lives with his wife and two teenage sons. When his two-bedroom home was weatherized in August, the 15-year U.S. Navy veteran experienced the effects of the Recovery Act first-hand when he could really use it. After his 13-year auto manufacturing job, where he was most recently a

158

Arkansan Worker Cuts Bills After Auto Job Layoff | Department of Energy  

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

Arkansan Worker Cuts Bills After Auto Job Layoff Arkansan Worker Cuts Bills After Auto Job Layoff Arkansan Worker Cuts Bills After Auto Job Layoff November 24, 2009 - 3:34pm Addthis Joshua DeLung The wind used to howl around the doors and through the attic of Thomas Lee's house. It's an older brick home with poor insulation located just outside the city limits of Tyronza, Ark. The furnace never seemed to kick off in the winter, and keeping his family warm was a constant battle, Thomas says, one that cost him close to $100 extra each month in the winter. Thomas is 51 years old and lives with his wife and two teenage sons. When his two-bedroom home was weatherized in August, the 15-year U.S. Navy veteran experienced the effects of the Recovery Act first-hand when he could really use it. After his 13-year auto manufacturing job, where he was most recently a

159

Design and Implementation of an Enhanced Power Billing System for Electricity Consumers in Nigeria  

E-Print Network (OSTI)

In Nigeria, electricity consumers are often faced with the problems of inaccurate, irrational and delay in monthly billing due to the drawback in reading pattern and human errors. Thus, it is essential to have an efficient and effective system for such purposes via electronic platform with consideration to proximity. This paper presents the design and functional significance of a web-based application with online capability called Power Billing System (PBS). PBS is a solution system developed with Microsoft Visual Web Development IDE; being an Object Oriented Design tool from Microsoft Visual Studio.net collection and Microsoft Access with SQL query for back-end database. It measures accurately the electric power consumed by residential or commercial buildings which is more economical compared to the electromechanical devices. Individual consumer and the utility companies can directly monitor and control electric power supply billing without engaging the services of meter readers. It displays the sale rate of electrical power per unit and the consumed power per minute. It provides environment to maintain the consumer details right from connection and performance information to the management. It is an Intranet and Internet based software solution that ensures timely

Adegboye Adegboyega; Ayeni A. Gabriel; Alawode J. Ademola; Azeta I. Victor; Kaduna Nigeri

2013-01-01T23:59:59.000Z

160

Expected annual electricity bill savings for various PPA price options |  

Open Energy Info (EERE)

Expected annual electricity bill savings for various PPA price options Expected annual electricity bill savings for various PPA price options Jump to: navigation, search Impact of Utility Rates on PV Economics Bill savings tables (main section): When evaluating PV systems under a PPA, it is important to look at the net effect on the building's annual electricity expense. If the solar value is greater than the PPA price, then the building will realize a net savings on annual energy expenses. If the solar value is less than the PPA price, then the building will realize a net loss. It is useful to understand how annual electricity expenses will be impacted at various PPA price levels. Bill Savings at PPA price of $0.04/kWhr Bill Savings at PPA price of $0.08/kWhr Bill Savings at PPA price of $0.12/kWhr Retrieved from "http://en.openei.org/w/index.php?title=Expected_annual_electricity_bill_savings_for_various_PPA_price_options&oldid=515464"

Note: This page contains sample records for the topic "average monthly bill" 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

The Potential Impact of Increased Renewable Energy Penetrations on Electricity Bill Savings from Residential Photovoltaic Systems  

E-Print Network (OSTI)

Penetrations on Electricity Bill Savings from ResidentialPENETRATIONS ON ELECTRICITY BILL SAVINGS FROM RESIDENTIALBill Savings In this paper, we have chosen two compensation mechanisms for electricity

Barbose, Galen

2013-01-01T23:59:59.000Z

162

Omnibus Energy Bill of 2013 (Maine) | Department of Energy  

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

Omnibus Energy Bill of 2013 (Maine) Omnibus Energy Bill of 2013 (Maine) Omnibus Energy Bill of 2013 (Maine) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Buying & Making Electricity Water Wind Program Info State Maine Program Type Climate Policies Generating Facility Rate-Making Green Power Purchasing Interconnection Line Extension Analysis Loan Program Public Benefits Fund Renewables Portfolio Standards and Goals

163

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

164

MEASURING ENERGY CONSERVATION WITH UTILITY BILLS  

E-Print Network (OSTI)

to give the "expected" gas usage each month, which is giventhe "exuected" and "actual" gas usage, 6G, is given for eachhas been added to the gas usage to reflect the impact of the

Deckel, Walter

2013-01-01T23:59:59.000Z

165

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

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

166

average air temperature | OpenEI  

Open Energy Info (EERE)

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

167

Upping Efficiency Standards, Lowering Utility Bills | Department of Energy  

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

Upping Efficiency Standards, Lowering Utility Bills Upping Efficiency Standards, Lowering Utility Bills Upping Efficiency Standards, Lowering Utility Bills September 2, 2010 - 4:17pm Addthis Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs What does this mean for me? Using energy-efficient appliances is one of the easiest and most important ways consumers have to save money. Purchasing energy-efficient appliances is one of the easiest and most important ways consumers have to save money, reduce their electricity consumption and help cut down on carbon pollution. We use appliances every day - to cook our food, cool our homes, heat our water and clean our clothes. In fact, for a typical U.S. family, heating and cooling and water heating account for about 50 percent of utility bills. Home appliances and

168

Clean Energy On-Bill Financing (Connecticut) | Department of Energy  

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

Clean Energy On-Bill Financing (Connecticut) Clean Energy On-Bill Financing (Connecticut) Clean Energy On-Bill Financing (Connecticut) < Back Eligibility Residential Savings Category Biofuels Alternative Fuel Vehicles Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Hydrogen & Fuel Cells Water Solar Home Weatherization Heating & Cooling Water Heating Wind Program Info Start Date 4/1/2014 State Connecticut Program Type State Loan Program Provider Clean Energy Finance and Investment Authority By April 1, 2014, the Energy Conservation Management Board and the Clean Energy Finance and Investment Authority (CEFIA) must consult with electric distribution companies and gas companies to develop a residential clean energy on-bill repayment program. The program will be financed by

169

Take a Vacation from Your Energy Bill | Department of Energy  

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

Take a Vacation from Your Energy Bill Take a Vacation from Your Energy Bill Take a Vacation from Your Energy Bill November 16, 2011 - 2:48pm Addthis Kristin Swineford Communication Specialist, Weatherization and Intergovernmental Programs We are always talking about preparing our homes for energy efficiency and taking the right steps to decrease our carbon footprints as homeowners and renters. I realized today that it's already the middle of November, meaning it's time to begin preparing for holiday vacations. I can't think of a better time than now to revisit the ways we can save money on our energy bills this holiday season. In my household, there will be about seven consecutive days in December when no one will be home, not even the dog. Aside from the usual preparations, such as clothing and gift shopping,

170

Upping Efficiency Standards, Lowering Utility Bills | Department of Energy  

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

Upping Efficiency Standards, Lowering Utility Bills Upping Efficiency Standards, Lowering Utility Bills Upping Efficiency Standards, Lowering Utility Bills September 2, 2010 - 4:17pm Addthis Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs What does this mean for me? Using energy-efficient appliances is one of the easiest and most important ways consumers have to save money. Purchasing energy-efficient appliances is one of the easiest and most important ways consumers have to save money, reduce their electricity consumption and help cut down on carbon pollution. We use appliances every day - to cook our food, cool our homes, heat our water and clean our clothes. In fact, for a typical U.S. family, heating and cooling and water heating account for about 50 percent of utility bills. Home appliances and

171

DOE - Office of Legacy Management -- Billings Hospital - Small Animal  

Office of Legacy Management (LM)

Billings Hospital - Small Animal Billings Hospital - Small Animal Facility - University of Chicago - IL 01 FUSRAP Considered Sites Site: Billings Hospital, Small Animal Facility, University of Chicago (IL 01) Eliminated from consideration under FUSRAP due to limited scope of activities and 15 day half-life of P-32 Designated Name: Not Designated Alternate Name: Small Animal Facility, U. of Chicago IL.01-1 Location: University of Chicago , Chicago , Illinois IL.01-1 Evaluation Year: 1979 IL.01-1 Site Operations: Nature of operations is not clear. Portions of Billings Hospital were reported to have been used as an animal research facility. IL.01-1 Site Disposition: Eliminated IL.01-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Phosphorus - 32 IL.01-1

172

DOE Names Bill Drummond As New Bonneville Power Administration  

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

Names Bill Drummond As New Bonneville Power Administration Names Bill Drummond As New Bonneville Power Administration Administrator DOE Names Bill Drummond As New Bonneville Power Administration Administrator January 16, 2013 - 7:00pm Addthis News Media Contact (202) 586-4940 WASHINGTON - The Energy Department has chosen Bill Drummond to be the new Administrator for the Bonneville Power Administration (BPA), one of the four Power Marketing Administrations (PMAs) the Department oversees. As BPA's Administrator, Drummond will be responsible for managing the non-profit federal agency, which markets carbon-free power from Columbia River hydroelectic dams and operates the surrounding power grid, distributing wind, nuclear and other energy to the Pacific Northwest and beyond. Drummond's leadership of BPA is part of a larger strategy for

173

Summary of Major Energy Bill Provisions Affecting Federal Energy Managers  

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

of Major Energy Bill Provisions Affecting Federal Energy Managers of Major Energy Bill Provisions Affecting Federal Energy Managers Section Lead Agency Provisions 102. Energy management goals DOE * Annual energy reduction goal of 2% from FY 2006 - FY 2015 * Reporting baseline changed from 1985 to 2003 * In 180 days, DOE issues guidelines * Retention of energy and water savings by agencies * DOE reports annually on progress to the President and Congress

174

Summary of Major Energy Bill Provisions Affecting Federal Energy Managers  

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

of Major Energy Bill Provisions Affecting Federal Energy Managers of Major Energy Bill Provisions Affecting Federal Energy Managers Section Lead Agency Provisions 102. Energy management goals DOE * Annual energy reduction goal of 2% from FY 2006 - FY 2015 * Reporting baseline changed from 1985 to 2003 * In 180 days, DOE issues guidelines * Retention of energy and water savings by agencies * DOE reports annually on progress to the President and Congress

175

An Introduction to Texas Senate Bill 5  

E-Print Network (OSTI)

Four areas in Texas have been designated by the U.S. Environmental Protection Agency (EPA) as non-attainment areas because ozone levels exceed the National Ambient Air Quality Standards (NAAQS) maximum allowable limits: Beaumont-Port Arthur, El Paso, Dallas-Ft. Worth, and Houston-Galveston-Brazoria. The El Paso area also violates the NAAQS maximum allowable limits for carbon monoxide and respirable particulate matter. These areas face severe sanctions, such as loss of access to federal transportation funds, if attainment is not reached by 2007. Four additional areas in the state are also approaching national ozone limits, including: Austin, Corpus Christi, San Antonio, and the Longview-Tyler-Marshall area. Ozone is formed when oxides of nitrogen (NOx), volatile organic compounds (VOCs), and oxygen (O2) combine in the presence of strong sunlight. In response to this effort the Texas Natural Resource Conservation Commission (TNRCC) developed a strategy with the EPA that reduced VOCs from large regulated, stationary point sources by over 50 percent during the 1990 to 1996 period. Although this first strategy was very successful, levels of ozone failed to meet the national standards, and a second strategy had to be developed to achieve compliance with the ozone standard. In 2001, the Texas State Senate passed Senate Bill 5 (SB 5) to further reduce ozone levels by encouraging the reduction of emissions of NOx by sources that are currently not regulated by the TNRCC, including area sources (e.g., residential emissions), on-road mobile sources (e.g., all types of motor vehicles), and non-road mobile sources (e.g., aircraft, locomotives, etc.). This paper outlines the legislation, and responsibilities of the different government entities and the important role that private industry is being encouraged to play.

Haberl, J. S.; Culp, C.; Yazdani, B.; Fitzpatrick, T.; Turner, W. D.

2002-01-01T23:59:59.000Z

176

Monthly petroleum product price report  

SciTech Connect

Monthly report supplies national weighted average prices on a monthly basis at different levels of the marketing chain, for petroleum products sold by refiners, large resellers, gas plant operators, and importers. Data are for the year to date and previous year. Some historic data are included to indicate trends. Gasoline price data are collected from retail gasoline dealers. Heating oil prices come from sellers of heating oil to ultimate consumers. A glossary of petroleum products is appended. Petroleum products include motor gasoline, distillate fuel oil, diesel fuel, heating oil, residual fuel oil, aviation fuel, kerosene, petrochemical feedstocks, propane, butane, ethane, and natural gasoline. 12 tables.

1977-11-01T23:59:59.000Z

177

Electric power monthly, April 1993  

Science Conference Proceedings (OSTI)

The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

Not Available

1993-05-07T23:59:59.000Z

178

Electric power monthly, May 1993  

SciTech Connect

The Electric Power Monthly (EPM) is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

Not Available

1993-05-25T23:59:59.000Z

179

February Natural Gas Monthly  

Annual Energy Outlook 2012 (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

180

November Natural Gas Monthly  

Annual Energy Outlook 2012 (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

Note: This page contains sample records for the topic "average monthly bill" 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

January Natural Gas Monthly  

Annual Energy Outlook 2012 (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

182

March Natural Gas Monthly  

Gasoline and Diesel Fuel Update (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

183

May Natural Gas Monthly  

Annual Energy Outlook 2012 (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

184

Petroleum Marketing Monthly  

U.S. Energy Information Administration (EIA)

ii U.S. Energy Information Administration/Petroleum Marketing Monthly August 2011 Preface The Petroleum Marketing Monthly (PMM) provides information and statistical ...

185

The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California  

Science Conference Proceedings (OSTI)

Net metering has become a widespread mechanism in the U.S. for supporting customer adoption of distributed photovoltaics (PV), but has faced challenges as PV installations grow to a larger share of generation in a number of states. This paper examines the value of the bill savings that customers receive under net metering, and the associated role of retail rate design, based on a sample of approximately two hundred residential customers of California's two largest electric utilities. We find that the bill savings per kWh of PV electricity generated varies by more than a factor of four across the customers in the sample, which is largely attributable to the inclining block structure of the utilities' residential retail rates. We also compare the bill savings under net metering to that received under three potential alternative compensation mechanisms, based on California's Market Price Referent (MPR). We find that net metering provides significantly greater bill savings than a full MPR-based feed-in tariff, but only modestly greater savings than alternative mechanisms under which hourly or monthly net excess generation is compensated at the MPR rate.

Energy and Resources Group, University of California, Berkeley; Darghouth, Naim R.; Barbose, Galen; Wiser, Ryan

2011-06-01T23:59:59.000Z

186

NREL: Buildings Research - Utility Bill Calibration Test Cases  

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

Utility Bill Calibration Test Cases Utility Bill Calibration Test Cases The diagram below illustrates the utility bill calibration test cases in BESTEST-EX. In these cases, participants are given input ranges and synthetic utility bills. Software tools calibrate key model inputs using the utility bills and then predict energy savings for the different retrofit cases. Participant energy savings predictions using calibrated models are compared to NREL predictions using state-of-the-art building energy simulation programs. For self-testing, participants should not view reference results until after tested software results have been generated. This diagram provides an overview of the BESTEST-EX utility bill calibration case process. On the left side of the diagram is a box labeled "BESTEST-EX Document" with a list that contains two bulleted items. The first bullet reads "Defines a representative existing home and several retrofit measures." The second bullet reads "Provides input ranges for key model inputs." Underneath this list is an image of a house and to the right of the house is a listing of the measures: R-wall=4.5-6.2; ELA=137-216 in2 ; Tsat=60-75°F, etc. Underneath this grouping is another bullet that reads "Presents utility bills that were generated by: A) randomly selecting key model inputs within ranges (values remain hidden); B) running test cases with selected inputs in EnergyPlus, DOE2.1E, and SUNREL." Below this bullet is a bar graph showing energy savings on the y axis and retrofit measure on the x axis. Inside the graph area is text reading "Reference results remains hidden for utility bill calibration cases." An arrow labeled "Results" points horizontally to the right to the results box. From the top half of this box are two arrows that are labeled "Input Ranges" and "Utility Bills" and points horizontally to the right to another smaller box that is labeled "Audit Software Provider." Underneath this heading are three bullets: one reads "Creates model of existing home knowing input ranges from test," the next one reads "Calibrates model inputs using utility bills," and the third one reads "Predicts retrofit energy savings. Underneath these bullets is an image of a house; to the right of this is a bar graph showing energy savings on the y axis and retrofit measure on the x axis. From this box an arrow labeled "Results" points directly below

187

Average Interest Rate for Treasury Securities | Data.gov  

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

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

188

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

increased 0.2 percent from February 2010. Over the same period, the average U.S. retail price of electricity increased 3.0 percent. For the 12-month period ending February 2011,...

189

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

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

190

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

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

191

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

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

192

,"Selected National Average Natural Gas Prices"  

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

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

193

Electric power monthly, April 1994  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. This publication provides monthly statistics at the U.S., Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. This April 1994 issue contains 1993 year-end data and data through January 1994.

Not Available

1994-04-01T23:59:59.000Z

194

Electric power monthly, May 1994  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. This publication provides monthly statistics for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Statistics by company and plant are published on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

Not Available

1994-05-01T23:59:59.000Z

195

Electric power monthly, August 1993  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

Not Available

1993-08-13T23:59:59.000Z

196

Electric power monthly, September 1993  

SciTech Connect

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

1993-09-17T23:59:59.000Z

197

Electric Power Monthly, July 1990  

SciTech Connect

The Electric Power Monthly (EPM) is prepared by the Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, and average revenue per kilowatthour of electricity sold. Data on net generation are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, company and plant level information are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost in fuel. Quantity, quality, and cost of fuel data lag the net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour data by 1 month. This difference in reporting appears in the national, Census division, and State level tables. However, at the plant level, all statistics presented are for the earlier month for the purpose of comparison. 12 refs., 4 figs., 48 tabs.

1990-10-12T23:59:59.000Z

198

Natural gas monthly  

Science Conference Proceedings (OSTI)

This report presents current data on the consumption, disposition, production, prices, storage, import and export of natural gas in the United States. Also included are operating and financial data for major interstate natural gas pipeline companies plus data on fillings, ceiling prices, and transportation under the Natural Gas Policy Act of 1978. A feature article, entitled Main Line Natural Gas Sales to Industrial Users, 1981, is included. Highlights of this month's publication are: Marketed production of natural gas during 1982 continued its downward trend compared to 1981, with November production of 1511 Bcf compared to 1583 Bcf for November 1981; total natural gas consumption also declined when compared to 1981; as of November 1982, working gas in underground storage was running ahead of a similar period in 1981 by 109 Bcf (3.4 percent); the average wellhead price of natural gas continued to rise in 1982; and applications for determination of maximum lawful prices under the Natural Gas Policy Act (NGPA) showed a decrease from October to November, principally for Section 103 classification wells (new onshore production wells).

Not Available

1983-01-01T23:59:59.000Z

199

Electric Power Monthly  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Monthly > Electric Power Monthly Back Issues Electric Power Monthly > Electric Power Monthly Back Issues Electric Power Monthly Back Issues Monthly Excel files zipped 2010 January February March April May June July August September October November December 2009 January February March April May June July August September October November December 2008 January February March March Supplement April May June July August September October November December 2007 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2005 January February March April May June July August September October November December

200

Forsyth County Slashes Energy Bills with Upgrades | Department of Energy  

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

Forsyth County Slashes Energy Bills with Upgrades Forsyth County Slashes Energy Bills with Upgrades Forsyth County Slashes Energy Bills with Upgrades September 30, 2010 - 12:04pm Addthis A new energy management system in Forsyth County’s 52,057 square foot courthouse is expected to save about $9,000 annually. | Photo courtesy of Forsyth County A new energy management system in Forsyth County's 52,057 square foot courthouse is expected to save about $9,000 annually. | Photo courtesy of Forsyth County Maya Payne Smart Former Writer for Energy Empowers, EERE What are the key facts? Four large projects funded through Recovery Act grant Energy efficient retrofits to save county about $72,000 annually Forsyth County, Georgia has been among the nation's fastest growing counties for the past ten years. Given the growth, officials are working

Note: This page contains sample records for the topic "average monthly bill" 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

Secretary Bodman Promotes Energy Bill to Western Governors | Department of  

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

Promotes Energy Bill to Western Governors Promotes Energy Bill to Western Governors Secretary Bodman Promotes Energy Bill to Western Governors March 1, 2005 - 10:37am Addthis WASHINGTON, DC - U.S. Secretary of Energy Samuel W. Bodman in a speech before the Western Governors Association today expressed the need for Congress to pass comprehensive energy legislation and highlighted the benefits of the proposal for the western United States. Secretary Bodman also discussed a number of important energy initiatives including: nuclear defense; scientific research; oil and gas exploration in Alaska; hydropower; the strengthening of our power grid; further development of renewable energy; hydrogen powered fuel-cell vehicles; and clean-coal power generation. "The energy challenges facing our country today are greater than they have

202

Fort Collins Utilities - Residential On-Bill Financing Program Program  

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

Fort Collins Utilities - Residential On-Bill Financing Program Fort Collins Utilities - Residential On-Bill Financing Program Program (Colorado) Fort Collins Utilities - Residential On-Bill Financing Program Program (Colorado) < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Ventilation Construction Commercial Heating & Cooling Heating & Cooling Heating Heat Pumps Water Heating Solar Maximum Rebate $15,000 Program Info State Colorado Program Type Utility Loan Program Rebate Amount $1,000 - $15,000 Fort Collins offers its residential customers low-interest loans that may be used to finance a variety of projects including adding insulation, replacing a furnace, upgrading water and space heating systems, and

203

Baltimore Vet Cuts Energy Bills With Solar | Department of Energy  

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

Baltimore Vet Cuts Energy Bills With Solar Baltimore Vet Cuts Energy Bills With Solar Baltimore Vet Cuts Energy Bills With Solar October 28, 2010 - 5:09pm Addthis Baltimore resident Paul Bennett installed 14 solar panels such as these on his historic row home with the help of a state solar grant and federal tax credit through the Recovery Act. | Energy Department Photo | Baltimore resident Paul Bennett installed 14 solar panels such as these on his historic row home with the help of a state solar grant and federal tax credit through the Recovery Act. | Energy Department Photo | Stephen Graff Former Writer & editor for Energy Empowers, EERE On a 'green' mission last spring, a 62 year-old retiree living on a modest income in Baltimore found himself at the Solar and Wind Expo at the Timonium Fairgrounds in Maryland.

204

Forsyth County Slashes Energy Bills with Upgrades | Department of Energy  

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

Forsyth County Slashes Energy Bills with Upgrades Forsyth County Slashes Energy Bills with Upgrades Forsyth County Slashes Energy Bills with Upgrades September 30, 2010 - 12:04pm Addthis A new energy management system in Forsyth County’s 52,057 square foot courthouse is expected to save about $9,000 annually. | Photo courtesy of Forsyth County A new energy management system in Forsyth County's 52,057 square foot courthouse is expected to save about $9,000 annually. | Photo courtesy of Forsyth County Maya Payne Smart Former Writer for Energy Empowers, EERE What are the key facts? Four large projects funded through Recovery Act grant Energy efficient retrofits to save county about $72,000 annually Forsyth County, Georgia has been among the nation's fastest growing counties for the past ten years. Given the growth, officials are working

205

Transparent Prices for Municipal Water: Impact of Pricing and Billing  

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

Transparent Prices for Municipal Water: Impact of Pricing and Billing Transparent Prices for Municipal Water: Impact of Pricing and Billing Practices on Residential Water Use Speaker(s): Sylvestre Gaudin Date: November 29, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: John Busch Jr. Economic Research shows overwhelmingly that residential consumers do not pay much attention to price changes when they make decisions about water use. This weak price sensitivity is often attributed to the intrinsic nature of water as a necessity. However, a large part of water use is the result of choices that could easily be altered without affecting basic welfare. Economic theory points to at least two other reasons why consumers would not be responsive to price changes for water use: the fact that water bills constitute a small portion of their budgets, and the fact that price

206

Home Energy Saver: Comparing Your Results to Your Utility Bill  

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

Comparing The Results to The Home's Utility Bill Comparing The Results to The Home's Utility Bill Energy use varies widely, even among seemingly identical homes! This is because of differences in house design, appliances, lifestyles, and comfort requirements. If your Home Energy Saver results differ from your actual energy bills, be sure to first check that all your input values agree with how your home is actually designed and operated. If the total cost differs but energy use is the same, keep in mind that we use a single price for energy, while many utilities use complicated "tariff structures", where the price varies by the time of year and/or day, your level of consumption, or other factors. Any remaining differences are probably due to one or more of the factors below. After reviewing these factors, you may want to modify

207

Florida Residents See Energy Bill Reductions | Department of Energy  

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

Florida Residents See Energy Bill Reductions Florida Residents See Energy Bill Reductions Florida Residents See Energy Bill Reductions January 27, 2010 - 3:42pm Addthis Indiantown, Florida, has a lot of small-town charm. Its 7,000 residents have acres of citrus groves but only one traffic light in the town. It might be small in size, but Indiantown Non-Profit Housing is making quite an impact across its region. This nonprofit weatherizes the homes of qualifying residents free of charge, and demand for its services is on the rise. "One of the best outcomes is that we can hire additional employees" says Director Donna Carman, referring to the $5.2 million in Recovery Act funds Indiantown Non-Profit Housing has received. The staff has more than doubled from five to 16, meaning that Floridians like 72-year-old Edith

208

The Renewable Energy Guy: Q&A with TV's Bill Nye | Department of Energy  

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

The Renewable Energy Guy: Q&A with TV's Bill Nye The Renewable Energy Guy: Q&A with TV's Bill Nye The Renewable Energy Guy: Q&A with TV's Bill Nye June 10, 2010 - 11:42am Addthis Bill Nye currently hosts three television shows about science. | Photo courtesy of Bill Nye Bill Nye currently hosts three television shows about science. | Photo courtesy of Bill Nye Lindsay Gsell For years, Bill Nye entertained children on the educational television series "Bill Nye the Science Guy." Using wacky demonstrations, funny music videos and easy to digest lessons, Nye encouraged children to enjoy and appreciate science. The quirky Nye-a scientist, engineer, comedian, author, and inventor-now works to spread the message of renewable energy, and regularly takes on projects to "green" his own Californian home.

209

The Renewable Energy Guy: Q&A with TV's Bill Nye | Department of Energy  

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

The Renewable Energy Guy: Q&A with TV's Bill Nye The Renewable Energy Guy: Q&A with TV's Bill Nye The Renewable Energy Guy: Q&A with TV's Bill Nye June 10, 2010 - 11:42am Addthis Bill Nye currently hosts three television shows about science. | Photo courtesy of Bill Nye Bill Nye currently hosts three television shows about science. | Photo courtesy of Bill Nye Lindsay Gsell For years, Bill Nye entertained children on the educational television series "Bill Nye the Science Guy." Using wacky demonstrations, funny music videos and easy to digest lessons, Nye encouraged children to enjoy and appreciate science. The quirky Nye-a scientist, engineer, comedian, author, and inventor-now works to spread the message of renewable energy, and regularly takes on projects to "green" his own Californian home.

210

Celebrating National Hispanic Heritage Month  

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

At the Energy Department, Hispanics are helping drive innovation and build a clean energy economy. Bill Valdez, our Acting Director of Economic Impact and Diversity, shares some of the specific contributions being made by this community.

211

Fermilab | Women's History Month  

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

Women's History Month at Fermilab Fermilab recognized Women's History Month through a series of lab-wide events during March 2010. During the past five decades, women from all...

212

Monthly Energy Review The Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

use use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. Related Publication: Readers of the MER may also be interested in EIA's Annual Energy Review, where many of the same data series are provided annually beginning with 1949. Contact our National Energy Information Center at 202-586-8800 for more information. Timing of Release: MER data are normally released in the afternoon of the third-from-the-last workday of each month and are usually available electronically late that day. Internet Addresses: E-Mail: infoctr@eia.doe.gov World Wide Web Site: http://www.eia.doe.gov Gopher Site: gopher://gopher.eia.doe.gov FTP Site: ftp://ftp.eia.doe.gov The Monthly Energy Review (ISSN 0095-7356) is published monthly by the Energy Information

213

EIA Average Energy Consumption 2005  

U.S. Energy Information Administration (EIA)

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

214

Electric power monthly, July 1994  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels. Data on quantity, quality, and cost of fossil fuels lag data on net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour by 1 month. This difference in reporting appears in the US, Census division, and State level tables. However, for purposes of comparison, plant-level data are presented for the earlier month.

Not Available

1994-07-01T23:59:59.000Z

215

Monthly Evapotranspiration from Satellite and Conventional Meteorological Observations  

Science Conference Proceedings (OSTI)

Monthly mean satellite measurements of surface heating rate, surface temperature, and normalized difference vegetation index were collected for seven locations in Kansas. These were combined with monthly average surface observations and used in a ...

J. D. Tarpley

1994-05-01T23:59:59.000Z

216

Electric Power Monthly, June 1990  

SciTech Connect

The EPM is prepared by the Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, electricity sales, and average revenue per kilowatthour of electricity sold. Data on net generation are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, company and plant level information are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. Quantity, quality, and cost of fuel data lag the net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour data by 1 month. This difference in reporting appears in the national, Census division, and State level tables. However, at the plant level, all statistics presented are for the earlier month for the purpose of comparison. 40 tabs.

1990-09-13T23:59:59.000Z

217

MonthlyReport  

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

74 74 Number of trips 399 Distance traveled (mi) 148 Percent of total distance traveled (%) 73% Average Trip Distance (mi) 0.4 Average Driving Speed (mph) 6.3 Average Stops per mile 35.5 Percent of Regen Braking Energy Recovery (%) 11% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 423 Number of trips 27 Distance traveled (mi) 54 Percent of total distance traveled (%) 27% Average Trip Distance (mi) 2.0 Average Driving Speed (mph) 20.7 Average Stops per mile 3.5 Percent of Regen Braking Energy Recovery (%) 15% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 0 Number of trips 0 Distance traveled (mi) 0 Percent of total distance traveled (%) 0% Average Trip Distance (mi) 0.0 Average Driving Speed (mph)

218

MonthlyReport  

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

0 0 Number of trips 493 Distance traveled (mi) 189 Percent of total distance traveled (%) 38% Average Trip Distance (mi) 0.4 Average Driving Speed (mph) 4.9 Average Stops per mile 28.7 Percent of Regen Braking Energy Recovery (%) 15% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 377 Number of trips 67 Distance traveled (mi) 275 Percent of total distance traveled (%) 56% Average Trip Distance (mi) 4.1 Average Driving Speed (mph) 17.9 Average Stops per mile 3.7 Percent of Regen Braking Energy Recovery (%) 13% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 438 Number of trips 1 Distance traveled (mi) 29 Percent of total distance traveled (%) 6% Average Trip Distance (mi) 28.7 Average Driving Speed (mph)

219

MonthlyReport  

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

505 505 Number of trips 601 Distance traveled (mi) 245 Percent of total distance traveled (%) 62% Average Trip Distance (mi) 0.4 Average Driving Speed (mph) 5.4 Average Stops per mile 34.8 Percent of Regen Braking Energy Recovery (%) 15% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 373 Number of trips 35 Distance traveled (mi) 124 Percent of total distance traveled (%) 31% Average Trip Distance (mi) 3.5 Average Driving Speed (mph) 23.0 Average Stops per mile 3.7 Percent of Regen Braking Energy Recovery (%) 13% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 319 Number of trips 3 Distance traveled (mi) 25 Percent of total distance traveled (%) 6% Average Trip Distance (mi) 8.5 Average Driving Speed (mph)

220

MonthlyReport  

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

613 613 Number of trips 89 Distance traveled (mi) 9 Percent of total distance traveled (%) 30% Average Trip Distance (mi) 0.1 Average Driving Speed (mph) 7.0 Average Stops per mile 44.5 Percent of Regen Braking Energy Recovery (%) 9% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 487 Number of trips 8 Distance traveled (mi) 5 Percent of total distance traveled (%) 16% Average Trip Distance (mi) 0.6 Average Driving Speed (mph) 25.0 Average Stops per mile 3.8 Percent of Regen Braking Energy Recovery (%) 6% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 487 Number of trips 7 Distance traveled (mi) 16 Percent of total distance traveled (%) 54% Average Trip Distance (mi) 2.3 Average Driving Speed (mph)

Note: This page contains sample records for the topic "average monthly bill" 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

MonthlyReport  

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

0 0 Number of trips 1,610 Distance traveled (mi) 372 Percent of total distance traveled (%) 72% Average Trip Distance (mi) 0.2 Average Driving Speed (mph) 5.2 Average Stops per mile 32.1 Percent of Regen Braking Energy Recovery (%) 13% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 383 Number of trips 114 Distance traveled (mi) 144 Percent of total distance traveled (%) 28% Average Trip Distance (mi) 1.3 Average Driving Speed (mph) 18.3 Average Stops per mile 3.8 Percent of Regen Braking Energy Recovery (%) 16% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 549 Number of trips 5 Distance traveled (mi) 2 Percent of total distance traveled (%) 0% Average Trip Distance (mi) 0.4 Average Driving Speed (mph)

222

MonthlyReport  

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

530 530 Number of trips 1,308 Distance traveled (mi) 495 Percent of total distance traveled (%) 69% Average Trip Distance (mi) 0.4 Average Driving Speed (mph) 5.6 Average Stops per mile 31.4 Percent of Regen Braking Energy Recovery (%) 15% City Trips ( < 5 stops/mile & <37 mph avg) DC electrical energy consumption (DC Wh/mi) 471 Number of trips 91 Distance traveled (mi) 175 Percent of total distance traveled (%) 24% Average Trip Distance (mi) 1.9 Average Driving Speed (mph) 16.6 Average Stops per mile 3.8 Percent of Regen Braking Energy Recovery (%) 13% Highway Trips ( 37 mph avg) DC electrical energy consumption (DC Wh/mi) 357 Number of trips 2 Distance traveled (mi) 49 Percent of total distance traveled (%) 7% Average Trip Distance (mi) 24.7 Average Driving Speed (mph)

223

Petroleum Marketing Monthly (PMM) - October 2013 With Data for ...  

U.S. Energy Information Administration (EIA)

Highlights. Figure HL1. Crude oil and petroleum product wholesale prices figure data. Highlights Crude Oil. July monthly average prices for crude oil show firm ...

224

Western Area Power Administration Starting Forecast Month: Sierra...  

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

based on Green Book ("Average") values. Base Resource September 2013 Twelve-Month Forecast of CVP Generation and Base Resource September 2013 August 2014 Exceedence Level: 90%...

225

Solar: monthly and annual latitude tilt horizontal GIS data at...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

226

Two Years Later: Bill Picciano of DOE's Savannah River Site  

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

We checked back in with Bill Picciano, who we last spoke to in October 2009 after he'd recently been hired at the Savannah River Site (SRS) through the Recovery Act. Now he's permanently employed at the Site as an Associate Engineer/Technical Support Specialist - a job he's proud to have.

227

AMENDED IN SENATE MARCH 27, 2006 SENATE BILL No. 1629  

E-Print Network (OSTI)

Act. The State Contract Act governs contracting between state agencies and private contractors, and other state agencies in overseeing and implementing state contracting procedures and policies. This bill procedures and policies to require authorize a state agency that contracts with a federally funded research

Knowles, David William

228

Mann LED Elevator Ligh ng: ECI Savings Table Cost (billed)  

E-Print Network (OSTI)

Cost (billed) Annual Savings $ Equivalent # Homes Electric 63 12 51 81% 1,300 200 1,000 2 tons/per year car bon equivalent annually. Benefits: The new lamps are much cooler, lower energy usage, and will last up to 5 years versus the old lamps that re quired changing many mes per year

Lipson, Michal

229

Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering  

E-Print Network (OSTI)

77 CHAPTER 4 ELECTRICITY BILL SAVINGS FROM RESIDENTIALresidential load and electricity bill by TOU period. (in the customers electricity bills. The second chapter of

Darghouth, Naim Richard

2013-01-01T23:59:59.000Z

230

RDI's Wisdom Way Solar Village Final Report: Includes Utility Bill Analysis of Occupied Homes  

DOE Green Energy (OSTI)

7. 2-4 bedrooms, 1,100-1,700 ft2. The design heating loads in the homes were so small that each home is heated with a single, sealed-combustion, natural gas room heater. The cost savings from the simple HVAC systems made possible the tremendous investments in the homes' envelopes. The Consortium for Advanced Residential Buildings (CARB) monitored temperatures and comfort in several homes during the winter of 2009-2010. In the Spring of 2011, CARB obtained utility bill information from 13 occupied homes. Because of efficient lights, appliances, and conscientious home occupants, the energy generated by the solar electric systems exceeded the electric energy used in most homes. Most homes, in fact, had a net credit from the electric utility over the course of a year. On the natural gas side, total gas costs averaged $377 per year (for heating, water heating, cooking, and clothes drying). Total energy costs were even less - $337 per year, including all utility fees. The highest annual energy bill for any home evaluated was $458; the lowest was $171.

Robb Aldrich, Steven Winter Associates

2011-07-01T23:59:59.000Z

231

Tapping Solar for Hot Water and Cheaper Bills for Puerto Rico...  

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

Tapping Solar for Hot Water and Cheaper Bills for Puerto Rico Tapping Solar for Hot Water and Cheaper Bills for Puerto Rico November 3, 2010 - 10:00am Addthis Stephen Graff Former...

232

15 Ways to Save on Your Water Heating Bill | Department of Energy  

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

5 Ways to Save on Your Water Heating Bill 15 Ways to Save on Your Water Heating Bill October 26, 2009 - 3:49pm Addthis Allison Casey Senior Communicator, NREL Sometimes it...

233

Gas Mileage of 1984 Vehicles by Bill Dovell Motor Car Company  

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

4 Bill Dovell Motor Car Company Vehicles EPA MPG MODEL City Comb Hwy 1984 Bill Dovell Motor Car Company Dovell 230CE 4 cyl, 2.3 L, Automatic 4-spd, Regular Gasoline Compare 1984...

234

Gas Mileage of 1985 Vehicles by Bill Dovell Motor Car Company  

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

5 Bill Dovell Motor Car Company Vehicles EPA MPG MODEL City Comb Hwy 1985 Bill Dovell Motor Car Company Dovell 230CE 4 cyl, 2.3 L, Automatic 4-spd, Regular Gasoline Compare 1985...

235

IH&R DEPARTMENT MONTHLY REPORT FOR JULY & AUGUST 1979 R. C. Heatherton  

Office of Legacy Management (LM)

313367 September 11, 1979 IH&R DEPARTMENT MONTHLY REPORT FOR JULY & AUGUST 1979 R. C. Heatherton M. W. Boback Environmental Monitoring - Monthly averages for uranium, alpha and...

236

Native American Heritage Month  

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

This month, we celebrate the rich heritage and myriad contributions of American Indians and Alaska Natives, and we rededicate ourselves to supporting tribal sovereignty, tribal self-determination,...

237

Electric Power Monthly  

U.S. Energy Information Administration (EIA)

Electric Power Monthly with Data for October 2012. December 2012 . Independent Statistics & Analysis . www.eia.gov . U.S. Department of Energy . ...

238

Electric Power Monthly  

U.S. Energy Information Administration (EIA)

Electric Power Monthly with Data for August 2012. October 2012 . Independent Statistics & Analysis . www.eia.gov . U.S. Department of Energy . ...

239

Natural Gas Monthly  

U.S. Energy Information Administration (EIA)

sector organizations associated with the natural gas industry. Volume and price data are presented each month for ... Tables 1 and 2 ...

240

Monthly Energy Review  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration September 2013 Monthly Energy Review. Note: Information about data precision and revisions. Release Date: September 25, 2013

Note: This page contains sample records for the topic "average monthly bill" 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

Natural Gas Monthly Update  

Annual Energy Outlook 2012 (EIA)

2013 | Next Release: February 28, 2013 | full report  | Re-Release Date: February 22, 2013 Previous Issues Month: December 2012 November 2012 October 2012 September 2012 August...

242

Petroleum Supply Monthly  

U.S. Energy Information Administration (EIA)

Energy Information Administration/Petroleum Supply Monthly, October 2011 49 Table 37. Imports of Crude Oil and Petroleum Products by PAD District, ...

243

New NIST Video: Bill Phillips School Talk on the Science of ...  

Science Conference Proceedings (OSTI)

New NIST Video: Bill Phillips School Talk on the Science of Ultracold. From NIST Tech Beat: February 19, 2008. ...

2011-08-29T23:59:59.000Z

244

Grid-Averaged Surface Fluxes  

Science Conference Proceedings (OSTI)

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

L. Mahrt

1987-08-01T23:59:59.000Z

245

High average power pockels cell  

DOE Patents (OSTI)

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

Daly, Thomas P. (Pleasanton, CA)

1991-01-01T23:59:59.000Z

246

Taking compliance patterns and quality management system (QMS) framework approach to ensure medical billing compliance  

Science Conference Proceedings (OSTI)

The United States Office of Inspector General (OIG) has issued a number of compliance guidelines including third-party medical billing guidelines for healthcare companies in the United States to reduce errors and fraud in the field of medical billing. ... Keywords: ISO 9001, OIG, common audit framework, medical billing compliance patterns, quality management system (QMS)

Syeda Uzma Gardazi, Arshad Ali Shahid

2013-03-01T23:59:59.000Z

247

www.ucei.org Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability  

E-Print Network (OSTI)

Abstract: One of the most critical concerns that customers have voiced in the debate over real-time retail electricity pricing is that they would be exposed to risk from fluctuations in their electricity cost. The concern seems to be that a customer could find itself consuming a large quantity of power on the day that prices skyrocket and thus receive a monthly bill far larger than it had budgeted for. I analyze the magnitude of this risk, using demand data from 1142 large industrial customers, and then ask how much of this risk can be eliminated through various straightforward financial instruments. I find that very simple hedging strategies can eliminate more than 80 % of the bill volatility that would otherwise occur. Far from being complex, mystifying financial instruments that only a Wall Street analyst could love, these are simple forward power purchase contracts, and are already offered to retail customers by a number of fully-regulated utilities that operate real-time pricing programs. I then show that a slightly more sophisticated application of these forward power purchases can significantly enhance their effect on reducing bill volatility. 1

Severin Borenstein; Severin Borenstein

2006-01-01T23:59:59.000Z

248

Petroleum Supply Monthly  

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

5 May 2013 Table 19. PAD District 4 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, May 2013 (Thousand Barrels per Day) Commodity Supply Disposition...

249

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 Table 11. PAD District 2 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply...

250

Electric Power Monthly  

U.S. Energy Information Administration (EIA)

Table 5.6.A. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, by State . July 2013 U.S. Energy Information Administration ...

251

Electric Power Monthly  

U.S. Energy Information Administration (EIA)

Table 5.6.A. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, by State . June 2013 U.S. Energy Information Administration ...

252

Indiana Electricity Restructuring not Active  

U.S. Energy Information Administration (EIA)

Indiana Electricity Restructuring not Active. ... Consumers could choose a fixed rate, a fixed monthly bill based on last years average bill, ...

253

Core Measure Average KTR Results  

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

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

254

MonthlyReport  

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

4.8 4.8 Overall AC electrical energy consumption (AC Wh/mi) 185 Average Trip Distance 13.1 Total distance traveled (mi) 208,165 Average Ambient Temperature (deg F) 77.6 Electric Vehicle mode operation (EV) Gasoline fuel economy (mpg) No Fuel Used AC electrical energy consumption (AC Wh/mi) 369 Distance traveled (mi) 104,687 Percent of total distance traveled 50.3% Average driving style efficiency (distance weighted)¹ 87% Extended Range mode operation (ERM) Gasoline fuel economy (mpg) 37.2 AC electrical energy consumption (AC Wh/mi) No Elec. Used Distance traveled (mi) 103,478 Percent of total distance traveled 49.7% Average driving style efficiency (distance weighted)¹ 82% City³ Highway³ Percent of miles in EV operation (%) 69.8% 33.9% Percent Number of trips 85.0% 15.0% Average trip distance (mi)

255

Monthly Biodiesel Production Report  

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

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

256

Monthly Flash Estimates of Electric Power Data Section 1. Commentary Data for:  

E-Print Network (OSTI)

December on record in 2006, more typical winter conditions returned, particularly in the Eastern United States, in the latter part of January 2007. For the month, heating degree days were 26.1 percent higher than January 2006, but still 8.9 percent lower than normal. In January 2007, increased demand for winter heating, coupled with economic strength, as observed by growth in industrial production, resulted in a 7.7 percent growth in electricity generation compared to January 2006. (Industrial production increased 1.92 percent from January 2006 to January 2007.) January 2007 retail sales of electricity increased 3.7 percent when compared to January 2006. The lower growth rate for sales of electricity is influenced by the fact that the utility billing cycles tend to lag electricity production in many areas. These lags were significant this month, given the fact that the latter part of January 2007 was significantly colder than the first part of the month. The average U.S. retail price of electricity in January 2007 showed a 4.3 percent jump from January 2006, and a 2.2 percent increase from December 2006. Electricity generation in January 2007 from all major fuel categories was up from January 2006, with the exception of hydroelectric generation, which was down by 4.7 percent due to lower than normal precipitation in the Northwestern region. Coal generation increased 4.2 percent, natural gas generation increased 41.3 percent, petroleum liquids generation increased 6.9 percent, and nuclear generation was up 2.9 percent. The lower natural gas prices in January 2007, which declined nearly one-third from January 2006, in addition to the colder weather resulted in an unusual surge of natural gas fired generation.

unknown authors

2007-01-01T23:59:59.000Z

257

Electric power monthly, January 1994  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. This publication provides monthly statistics at the US Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

Not Available

1994-01-26T23:59:59.000Z

258

Electric power monthly, October 1993  

Science Conference Proceedings (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

Not Available

1993-10-20T23:59:59.000Z

259

Electric power monthly, February 1994  

SciTech Connect

The Electric Power Monthly (EMP) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

1994-02-16T23:59:59.000Z

260

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

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

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

Note: This page contains sample records for the topic "average monthly bill" 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

Petroleum Supply Monthly Archives  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Supply Monthly Petroleum Supply Monthly Petroleum Supply Monthly Archives With Data for December 2011 | Release Date: February 29, 2012 Changes to Table 26. "Production of Crude Oil by PAD District and State": Current State-level data are now included in Table 26, in addition to current U.S. and PAD District sums. State offshore production for Louisiana, Texas, Alaska, and California, which are included in the State totals, are no longer reported separately in a "State Offshore Production" category. Previously, State-level values lagged 2 months behind the U.S. and PAD District values. Beginning with this publication, they will be on the same cycle. Also included in this publication are two additional pages for Table 26 that provide October and November data. With the release of

262

Historical Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

73-92) 73-92) Distribution Category UC-950 Historical Monthly Energy Review 1973-1992 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Historical Monthly Energy Review The Historical Monthly Energy Review (HMER) presents monthly and annual data from 1973 through 1992 on production, consumption, stocks, imports, exports, and prices of the principal energy commodities in the United States. Also included are data on international

263

Geographic Area Month  

Gasoline and Diesel Fuel Update (EIA)

Fuels by PAD District and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month No. 1 Distillate No. 2 Distillate a No. 4 Fuel b Sales to End Users Sales for...

264

December Natural Gas Monthly  

Annual Energy Outlook 2012 (EIA)

DOEEIA-0130(9712) Distribution CategoryUC-950 Natural Gas Monthly December 1997 Energy Information Administration Office of Oil and Gas U.S. Department of Energy Washington, DC...

265

National Women's History Month  

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

During Women's History Month, we recall that the pioneering legacy of our grandmothers and great-grandmothers is revealed not only in our museums and history books, but also in the fierce...

266

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: August 2011 The U.S. has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at...

267

Black History Month  

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

During National African American History Month, we pay tribute to the contributions of past generations and reaffirm our commitment to keeping the American dream alive for the next generation. In...

268

MonthlyReportAll  

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

MonthlyReportAllFleet Summary Report - Hymotion Prius (Kvaser 1 2102010 4:19:25 PM Vehicle Technologies Program 30 Notes: 1 - 9. Please see http:avt.inel.govphevreportnotes...

269

Development of Baseline Monthly Utility Models for Fort Hood, Texas  

E-Print Network (OSTI)

The Fort Hood Army base in central Texas has more than 5,200 buildings and can be considered as typical of large Department of Defense Army bases in the continental United States. The annual utility bill of the base exceeds $25 million. Baseline monthly models for electricity use, electricity demand, gas use, and water use for the three cantonment areas of Fort Hood have been developed. Such models can be used as screening tools for detecting changes in future utility bills and also to track/evaluate the extent to which Presidential Executive Order 12902, mandating 30% decrease in energy utility bills from 1985 to 2005, is being met. In this analysis, 1990 has been selected as the baseline year to illustrate the predictive capability of the models. Since ascertaining the uncertainty of our predictions is very important for meaningful evaluations, we have also presented the relevant equations for computing the 95% prediction intervals of the regression models and illustrated their use with measured data over the period of 1989-1993. This study also evaluated two different types of energy modeling software- the Princeton Scorekeeping method (PRISM) and EModel- in order to ascertain which is more appropriate for baseline modeling of large Army installations such as Fort Hood. It was found that the EModel software, which has more flexibility to handle different types of linear single variate change point models, gave more accurate modeling results.

Reddy, T. A.; Saman, N. F.; Claridge, D. E.; Haberl, J. S.; Turner, W. D.; Chalifoux, A.

1996-04-01T23:59:59.000Z

270

Development of Baseline Monthly Utility Models for Fort Hood, Texas  

E-Print Network (OSTI)

The Fort Hood Army base in central Texas has more than 5,200 buildings and can be considered as typical of large Department of Defense Army bases in the continental United States. The annual utility bill of the base exceeds $25 million. Baseline monthly models for electricity use, electricity demand, gas use, and water use for the three cantonment areas of Fort Hood have been developed. Such models can be used as screening tools for detecting changes in future utility bills and also to track/evaluate the extent to which Presidential Executive Order 12902, mandating 30% decrease in energy utility bills from 1985 to 2005, is being met. In this analysis, 1990 has been selected as the baseline year to illustrate the predictive capability of the models. Since ascertaining the uncertainty of our predictions is very important for meaningful evaluations, we have also presented the relevant equations for computing the 95% prediction intervals of the regression models and illustrated their use with measured data over the period 1989 - 1993. This study also evaluated two different types of energy modeling software- the Princeton Scorekeeping method (PRISM) and EModel- in order to ascertain which is more appropriate for baseline modeling of large Army installations such as Fort Hood. It was found that the EModel software, which has more flexibility to handle different types of linear single variate change point models, gave more accurate modeling results.

Reddy, T. A.; Saman, N. F.; Claridge, D. E.; Haberl, J. S.; Turner, W. D.; Chalifoux, A.

1996-01-01T23:59:59.000Z

271

Solar: annual average direct normal (DNI) GIS data at 10km resolution...  

Open Energy Info (EERE)

visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam...

272

Leffler's Method of Estimating Average Temperatures of Appalachian Summits: Evaluation in New York  

Science Conference Proceedings (OSTI)

R. J. Leffler recently presented regression equations to estimate average monthly temperatures of Appalachian summits based on the long-term average temperatures on Mt. Washington, New Hampshire, and temperature lapse rates as a function of ...

Thomas W. Schmidlin

1982-05-01T23:59:59.000Z

273

Monthly Energy Review, August 1997  

Annual Energy Outlook 2012 (EIA)

Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics. The statistics cover the...

274

Monthly Energy Review, October 1997  

Annual Energy Outlook 2012 (EIA)

Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics. The statistics cover the...

275

Windpower Monthly | Open Energy Information  

Open Energy Info (EERE)

Windpower Monthly Jump to: navigation, search Name Windpower Monthly Place Knebel, Denmark Zip DK-8420 Knebe Sector Wind energy Product Windpower Monthly is a energy news magazine....

276

annual average heating degree days | OpenEI  

Open Energy Info (EERE)

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

277

Petroleum Supply Monthly  

Annual Energy Outlook 2012 (EIA)

Ending Stocks by PAD District, December 2011 (Thousand Barrels, Except Where Noted) Process PAD Districts U.S. Total 1 2 3 4 5 Total Daily Average Supply Field Production...

278

Petroleum Supply Monthly  

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

Table 12. PAD District 2 - Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-May 2013 (Thousand Barrels per Day) Commodity Supply...

279

MonthlyReport  

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

(mi) 6.6 44.1 Average driving style efficiency (distance weighted) 84% 85% Chevrolet Volt Vehicle Demonstration Fleet Summary Report Reporting period: May 2011 through June 2011...

280

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

Note: This page contains sample records for the topic "average monthly bill" 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

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

282

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

283

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: March 2012 Electric Power Sector Coal Stocks: March 2012 Stocks The seasonal winter drawdown of coal stocks was totally negated during the winter months this year due to low natural gas prices and unseasonably warm temperatures throughout the continental United States. In fact, March 2012 was the seventh straight month that coal stockpiles at power plants increased from the previous month. The largest driver of increasing stockpiles has been declining consumption of coal due to unseasonably warm weather and declining natural gas prices. Because much of the coal supplied to electric generators is purchased through long-term contracts, increasing coal stockpiles have proven difficult for electric power plant operators to handle. Some operators have inventories so high that they are refusing

284

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

285

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

286

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

287

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: December 2011 Regional Wholesale Markets: December 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

288

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

289

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

290

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: January 2012 Regional Wholesale Markets: January 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

291

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: October 2011 Regional Wholesale Markets: October 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

292

Monthly Energy Statistics  

Gasoline and Diesel Fuel Update (EIA)

July July 2003 E n e r g y P l u g : R e s i d e n t i a l E n e r g y C o n s u m p t i o n Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: July 28, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the

293

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: March 2012 Regional Wholesale Markets: March 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

294

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

295

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: February 2012 Regional Wholesale Markets: February 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

296

monthly | OpenEI  

Open Energy Info (EERE)

714 714 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142280714 Varnish cache server monthly Dataset Summary Description The Florida Geological Survey is where data related to oil, gas, and geothermal resources for the state of Florida are made public. This dataset contains monthly oil and gas production data for January and February of 2011. The dataset is in .xls format, and displays well status, well production, and cumulative data. Source Florida Geological Survey Date Released February 28th, 2011 (3 years ago) Date Updated Unknown Keywords data Florida gas monthly oil production Data application/vnd.ms-excel icon February 2011 oil and gas production data (xls, 33.8 KiB)

297

Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

May May 26, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. DOE/EIA-0035(98/05) Distribution Category UC-950 Monthly Energy Review

298

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: November 2011 Regional Wholesale Markets: November 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

299

Agency datasets monthly list | Data.gov  

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

to rate record) Description Agency Subagency Category Last updated date FY 2009 Appropriations Earmarks Earmarks in FY 2009 Appropriations Bills EOP OMB Federal Government...

300

RDI's Wisdom Way Solar Village Final Report: Includes Utility Bill Analysis of Occupied Homes  

SciTech Connect

In 2010, Rural Development, Inc. (RDI) completed construction of Wisdom Way Solar Village (WWSV), a community of ten duplexes (20 homes) in Greenfield, MA. RDI was committed to very low energy use from the beginning of the design process throughout construction. Key features include: 1. Careful site plan so that all homes have solar access (for active and passive); 2. Cellulose insulation providing R-40 walls, R-50 ceiling, and R-40 floors; 3. Triple-pane windows; 4. Airtight construction (~0.1 CFM50/ft2 enclosure area); 5. Solar water heating systems with tankless, gas, auxiliary heaters; 6. PV systems (2.8 or 3.4kWSTC); 7. 2-4 bedrooms, 1,100-1,700 ft2. The design heating loads in the homes were so small that each home is heated with a single, sealed-combustion, natural gas room heater. The cost savings from the simple HVAC systems made possible the tremendous investments in the homes' envelopes. The Consortium for Advanced Residential Buildings (CARB) monitored temperatures and comfort in several homes during the winter of 2009-2010. In the Spring of 2011, CARB obtained utility bill information from 13 occupied homes. Because of efficient lights, appliances, and conscientious home occupants, the energy generated by the solar electric systems exceeded the electric energy used in most homes. Most homes, in fact, had a net credit from the electric utility over the course of a year. On the natural gas side, total gas costs averaged $377 per year (for heating, water heating, cooking, and clothes drying). Total energy costs were even less - $337 per year, including all utility fees. The highest annual energy bill for any home evaluated was $458; the lowest was $171.

Robb Aldrich, Steven Winter Associates

2011-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "average monthly bill" 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

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: December 2011 End Use: December 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

302

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: August 2011 End Use: August 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average revenue per kWh by state Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

303

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: November 2011 End Use: November 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

304

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: October 2011 End Use: October 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

305

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: March 2012 End Use: March 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of States have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

306

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: September 2011 End Use: September 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

307

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: October 2013 End Use: October 2013 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by state Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

308

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: January 2012 End Use: January 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

309

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: February 2012 End Use: February 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of States have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

310

November 2010 monthly report  

Science Conference Proceedings (OSTI)

These viewgraphs are to be provided to NNSA to update the status of the B61 Life Extension Project work and activities. The viewgraphs cover such issues as budget, schedule, scope, and the like. They are part of the monthly reporting process.

Neff, Warren E [Los Alamos National Laboratory

2010-12-07T23:59:59.000Z

311

Monthly energy review  

Science Conference Proceedings (OSTI)

This document presents an overview of the Energy Information Administration`s (EIA) recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

NONE

1997-12-01T23:59:59.000Z

312

Monthly Energy Review  

Science Conference Proceedings (OSTI)

This publication presents an overview of the Energy information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief ``energy plugs`` (reviews of EIA publications) are included, as well.

NONE

1996-05-28T23:59:59.000Z

313

Natural gas monthly  

Science Conference Proceedings (OSTI)

Monthly highlights of activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry are presented. Feature articles for this issue are: Natural Gas Overview for Winter 1983-1984 by Karen A. Kelley; and an Analysis of Natural Gas Sales by John H. Herbert. (PSB)

Not Available

1983-11-01T23:59:59.000Z

314

Petroleum Supply Monthly  

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

2 2 September 2013 Table 26. Production of Crude Oil by PAD District and State, September 2013 (Thousand Barrels) PAD District and State September 2013 January-September 2013 Total Daily Average Total Daily Average PAD District 1 ...................................................... 1,020 34 8,672 32 Florida ............................................................... 212 7 1,590 6 New York .......................................................... 29 1 263 1 Pennsylvania .................................................... 416 14 3,786 14 Virginia .............................................................. 0 0 5 0 West Virginia .................................................... 363 12 3,026 11 PAD District 2 ...................................................... 44,167 1,472 366,285 1,342

315

Variable Average Absolute Percent Differences  

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

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

316

Measuring retrofit savings in commercial buildings with pre-retrofit utility billing data and post-retrofit sub-metered data  

E-Print Network (OSTI)

Methodologies to measure energy and dollar savings resulting from energy conserving retrofits in commercial buildings when both pre-retrofit and post-retrofit monitored data are available at an hourly or daily level have already been developed by several researchers. However there are many occasions when hourly or daily energy consumption data are available only for the post-retrofit period. This thesis presents a methodology for measuring retrofit savings on such occasions by establishing a pre-retrofit baseline model of energy consumption based on pre-retrofit monthly utility billing data and sub-metered daily or hourly post-retrofit data. The procedure consists of two basic parts. The first part normalizes energy use for temperature dependency using post-retrofit sub-metered hourly data, the second part accounts for scheduling effects and develops a pre-retrofit baseline model using pre-retrofit utility bills. In this way, the method explicitly accounts for both scheduling and weather effects in developing a baseline for pre-retrofit energy consumption. The methodology is first tested with data from a LoanSTAR site where both pre- and post-retrofit data are available. It is then illustrated with two other LoanSTAR sites where only post-retrofit sub-metered data and pre-retrofit monthly utility billing data are available. This thesis also employs the direct utility bill comparison method to measure retrofit savings, and extends it to include a simple temperature comparison and compares results on a monthly and annual basis with the method developed herein.

Liu, Yue

1993-01-01T23:59:59.000Z

317

Estimating Monthly Averaged Air-Sea Transfers of Heat and Momentum Using the Bulk Aerodynamic Method  

Science Conference Proceedings (OSTI)

Air-sea transfers of sensible heat, latent heat and momentum are computed from 25 years of middle-latitude and subtropical ocean weather ship data in the North Atlantic and North Pacific using the bulk aerodynamic method. The results show that ...

Steven K. Esbensen; Richard W. Reynolds

1981-04-01T23:59:59.000Z

318

Achronal averaged null energy condition  

Science Conference Proceedings (OSTI)

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

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

2007-09-15T23:59:59.000Z

319

Achronal averaged null energy condition  

E-Print Network (OSTI)

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

Noah Graham; Ken D. Olum

2007-05-22T23:59:59.000Z

320

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

Note: This page contains sample records for the topic "average monthly bill" 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

Project of the Month  

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

project-of-the-month Office of Environmental project-of-the-month Office of Environmental Management 1000 Independence Ave., SW Washington, DC 20585 202-586-7709 en One-of-a-Kind Facility Now in Safe Shutdown http://energy.gov/em/articles/one-kind-facility-now-safe-shutdown One-of-a-Kind Facility Now in Safe Shutdown

322

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

323

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

324

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

325

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

326

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

327

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

328

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

329

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: September 2011 Regional Wholesale Markets: September 2011 The United States. has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily price and demand data is shown for the month of September 2011 and for the year ending on September 30, 2011. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest (Palo Verde) and

330

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

331

Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

December December 23, 1997 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/contents.html * A portable document format (pdf) file of the complete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.overview/monthly .energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-from-the-last

332

Petroleum marketing monthly  

SciTech Connect

Petroleum Marketing Monthly (PPM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o. b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

1996-07-01T23:59:59.000Z

333

Petroleum marketing monthly  

SciTech Connect

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

NONE

1996-02-01T23:59:59.000Z

334

Petroleum marketing monthly  

Science Conference Proceedings (OSTI)

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

NONE

1995-08-01T23:59:59.000Z

335

Petroleum Marketing Monthly Archives  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Marketing Monthly Archives Petroleum Marketing Monthly Archives Choose the year of the Petroleum Marketing Monthly you wish to view. + EXPAND ALL 2014-2015 2014 2015 Data ending January 10/2013 2012-2013 2012 2013 Data ending January 10/2011 January 10/2012 February 11/2011 February 11/2012 March 12/2011 March 12/2012 April 1/2012 April 1/2013 May 2/2012 May 2/2013 June 3/2012 June 3/2013 July 4/2012 July 4/2013 August 5/2012 August 5/2013 September 6/2012 September 6/2013 October 7/2012 October 7/2013 November 8/2012 November 8/2013 December 9/2012 December 9/2013 2010 - 2011 2010 2011 Data ending Data ending January 10/2009 January 10/2010 February 11/2009 February 11/2010 March 12/2009 March 12/2010 April 1/2010 April 1/2011 May 2/2010 May 2/2011

336

The Potential Impact of Increased Renewable Energy Penetrations on Electricity Bill Savings from Residential Photovoltaic Systems  

E-Print Network (OSTI)

of rate design and net metering on the bill savings fromelectricity rate through net metering. Given the uncertaintyunder two types of net metering, for each scenario. Results

Barbose, Galen

2013-01-01T23:59:59.000Z

337

The Potential Impact of Increased Renewable Energy Penetrations on Electricity Bill Savings from Residential Photovoltaic Systems  

E-Print Network (OSTI)

impact of rate design and net metering on the bill savingselectricity rate through net metering. Given the uncertaintyunder two types of net metering, for each scenario. Results

Barbose, Galen

2013-01-01T23:59:59.000Z

338

Where can I get help paying my utility bills? - FAQ - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Where can I get help paying my utility bills? The U.S. Department of Health and Human Services' Low Income Home Energy Assistance Program (LIHEAP) provides federally ...

339

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

December 2010 December 2010 Section 1. Commentary Electric Power Data In December 2010, the contiguous United States as a whole experienced temperatures that were near normal. However, there was a significant contrast in temperatures across the country as the western United States experienced above average temperatures, while the more densely populated eastern part of the nation experienced temperatures that were significantly below average. Accordingly, the total population-weighted heating degree days for the United States were 9.9 percent above the December normal. Retail sales of electricity increased 2.9 percent from December 2009. Over the same period, the average U.S. retail price of electricity increased 1.3 percent. For the 12-month period ending December 2010, the average U.S. retail price of

340

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 February 2012 Energy Information Administration/Petroleum Supply Monthly, ii December 2011 EIA DATA ARE AVAILABLE IN ELECTRONIC FORM All current EIA publications are available on the EIA web site. Users can view and download selected pages or entire reports, search for information, download EIA data and analysis applications, and find out about new EIA information products and services: World Wide Web: http://www.eia.doe.gov FTP: ftp://ftp.eia.doe.gov Customers who do not have access to the Internet may call the National Energy Information Center (NEIC) to request a single print-

Note: This page contains sample records for the topic "average monthly bill" 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

Petroleum Supply Monthly  

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

With Data for September 2013 With Data for September 2013 November 2013 Energy Information Administration/Petroleum Supply Monthly, ii September 2013 EIA DATA ARE AVAILABLE IN ELECTRONIC FORM All current EIA publications are available on the EIA web site. Users can view and download selected pages or entire reports, search for information, download EIA data and analysis applications, and find out about new EIA information products and services: World Wide Web: http://www.eia.doe.gov FTP: ftp://ftp.eia.doe.gov Customers who do not have access to the Internet may call the National Energy Information Center (NEIC) to request a single print-

342

Petroleum marketing monthly  

SciTech Connect

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data.

NONE

1995-11-01T23:59:59.000Z

343

Natural Gas Monthly, December 1996  

Annual Energy Outlook 2012 (EIA)

1996 79 Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

344

Natural Gas Monthly October 1996  

Annual Energy Outlook 2012 (EIA)

1996 77 Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

345

Natural Gas Monthly, June 1996  

Gasoline and Diesel Fuel Update (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

346

Natural Gas Monthly, September 1996  

Annual Energy Outlook 2012 (EIA)

1996 77 Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

347

Natural Gas Monthly, July 1996  

Gasoline and Diesel Fuel Update (EIA)

July 1996 77 Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

348

Natural Gas Monthly, May 1996  

Annual Energy Outlook 2012 (EIA)

Gas Annual. Preliminary Monthly Data Preliminary monthly data in the "balancing item" cat- egory are calculated by subtracting dry gas production, withdrawals from storage,...

349

Monthly Energy Review - December 2004  

Annual Energy Outlook 2012 (EIA)

for Printing: December 22, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

350

Monthly Energy Review - March 2003  

Annual Energy Outlook 2012 (EIA)

Released for Printing: April 2, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

351

Monthly Energy review - July 2009  

Annual Energy Outlook 2012 (EIA)

9 July 2009 DOEEIA-0035(200907) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical...

352

Monthly Energy Review - December 2007  

Annual Energy Outlook 2012 (EIA)

2) December 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics....

353

Monthly Energy Review - February 2005  

Annual Energy Outlook 2012 (EIA)

for Printing: February 23, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

354

Monthly Energy Review - December 2005  

Annual Energy Outlook 2012 (EIA)

for Printing: December 22, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

355

Monthly Energy Review - May 2005  

Annual Energy Outlook 2012 (EIA)

Released for Printing: May 25, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

356

Monthly Energy Review - August 2005  

Annual Energy Outlook 2012 (EIA)

Released for Printing: August 29, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

357

Monthly Energy Review - March 2005  

Annual Energy Outlook 2012 (EIA)

Released for Printing: March 31, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

358

Monthly Energy Review - June 2004  

Annual Energy Outlook 2012 (EIA)

Released for Printing: June 25, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

359

Monthly Energy Review - April 2004  

Annual Energy Outlook 2012 (EIA)

Released for Printing: April 28, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

360

Monthly Energy Review - February 2007  

Annual Energy Outlook 2012 (EIA)

7 DOEEIA-0035(200702) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

Note: This page contains sample records for the topic "average monthly bill" 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

Monthly Energy Review - June 2005  

Annual Energy Outlook 2012 (EIA)

Released for Printing: June 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

362

Monthly Energy Review - August 2006  

Annual Energy Outlook 2012 (EIA)

Released for Printing: August 28, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

363

Monthly Energy Review - June 2006  

Annual Energy Outlook 2012 (EIA)

Released for Printing: June 27, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

364

Monthly Energy Review - May 2003  

Annual Energy Outlook 2012 (EIA)

Released for Printing: June 10, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

365

Monthly Energy Review - February 2009  

Annual Energy Outlook 2012 (EIA)

2) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are...

366

Monthly Energy Review - April 2006  

Annual Energy Outlook 2012 (EIA)

Released for Printing: May 25, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

367

Monthly Energy Review - December 2003  

Annual Energy Outlook 2012 (EIA)

for Printing: December 23, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

368

Petroleum supply monthly, February 1988. [Contains glossary  

Science Conference Proceedings (OSTI)

Total US demand for petroleum products during February 1988 averaged about 17.6 million barrels per day, 0.9 million barrels per day above the average of a year earlier. This marks the third consecutive month in which total product supplied has exceeded 17.0 million barrels per day. For the most part, the disposition of the major products continued to follow seasonal patterns. Total products stocks dropped by 26.0 million barrels to 683.1 million barrels. Refinery utilization fell from January's 82.8 percent rate to 81.1 percent. Crude oil imports from Saudi Arabia rose to 1.2 million barrels per day, 0.4 million barrels per day above the average for January. Unusually mild weather, especially in the Mid-Atlantic states and New England, kept deliveries of both distillate and residual fuel oil virtually unchanged from January's high seasonal levels, although both were still well above the levels for these products the same time last year. Distillate demand averaged 3.5 million barrels per day in February, five percent above the February 1987 average. Residual fuel oil demand was 1.6 million barrels per day this month, nine percent greater than a year ago. Part of this increase in demand from the previous year reflects the improved competitive position of residual fuel oil in some utility and industrial markets, mostly due to increases in natural gas prices starting in the fourth quarter of 1987. 12 figs.

Not Available

1988-04-25T23:59:59.000Z

369

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 Table 19. PAD District 4 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 393 - - - - 330 -111 -46 4 562 0 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 406 0 2 15 -333 - - 0 20 9 61 Pentanes Plus .................................................. 58 0 - - - -33 - - 0 6 9 10 Liquefied Petroleum Gases .............................. 348 - - 2 15 -299 - -

370

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 Table 23. PAD District 5 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 1,197 - - - - 1,186 - -47 -4 2,340 0 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 69 0 14 4 - - - -60 83 20 43 Pentanes Plus .................................................. 32 0 - - - - - - -1 26 2 5 Liquefied Petroleum Gases .............................. 37 - - 14 4 - - - -59

371

Petroleum Supply Monthly  

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

6 6 September 2013 Table 20. PAD District 4 - Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-September 2013 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 511 - - - - 289 -169 -49 4 579 0 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 316 0 13 11 -264 - - 2 16 15 44 Pentanes Plus .................................................. 50 0 - - 0 -38 - - 0 6 13 -7 Liquefied Petroleum Gases ..............................

372

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 Table 7. PAD District 1 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 24 - - - - 854 -10 42 -28 935 3 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 42 0 27 67 119 - - -30 26 1 259 Pentanes Plus .................................................. 7 0 - - - - - - 0 - 0 7 Liquefied Petroleum Gases .............................. 35 - - 27 67 119 - - -30 26

373

Monthly Energy Review - June 2008  

Gasoline and Diesel Fuel Update (EIA)

Monthly Publications: Other monthly EIA reports are Petroleum Supply Monthly Publications: Other monthly EIA reports are Petroleum Supply Monthly, Petroleum Marketing Monthly, Natural Gas Monthly, Electric Power Monthly, and Inter- national Petroleum Monthly. For more information, contact the National Energy Information Center at 202-586-8800 or InfoCtr@eia.doe.gov. Electronic Access The MER is available on EIA's Web site in a variety of formats at: http://www.eia.doe.gov/mer. Complete MER, and individual MER sections: Portable Document Format (PDF) files. Individual table and graph pages: PDF files. Data files for individual tables: Excel (XLS) files and ASCII comma-delimited (CSV) files. Note: PDF files display selected annual and monthly data. Excel and CSV files display all avail- able annual and monthly data, often at a greater level of precision than the PDF files.

374

Spectral and Parametric Averaging for Integrable Systems  

E-Print Network (OSTI)

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

Tao Ma; R. A. Serota

2013-06-03T23:59:59.000Z

375

Participants: William Naughton, COHMED Bill Sherman, NE HLRW Task Force  

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

conference call May 27, 1998 conference call May 27, 1998 Participants: William Naughton, COHMED Bill Sherman, NE HLRW Task Force Bob Fronczak, AAR Mike Butler, UETC Ray English, DOE-NR George Ruberg, UETC Kevin Blackwell, FRA Markus Popa, DOE-RW Sandy Covi, UP The Rail Topic Group is currently in a transitional mode, moving simultaneously toward closure of the two rail information matrices, Comparison of CVSA Recommended National Procedures and Out-Of-Service Criteria for the Enhanced Safety Inspection of Commercial Highway Vehicles Transporting Transuranics, Spent Nuclear Fuel, and High Level Waste to Rail Inspection Standards, and Rail and Highway Regulations Relative to the Transportation of Radioactive Materials and their Applicability to States, Tribes, Shippers, and Carriers, (both

376

On Bill Financing: SDG&E/SoCalGas  

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

2 San Diego Gas and Electric Co. and Southern California Gas Company. All copyright and trademark rights reserved. 2 San Diego Gas and Electric Co. and Southern California Gas Company. All copyright and trademark rights reserved. On Bill Financing: SDG&E / SoCalGas Frank Spasaro May 6, 2011 US - China Energy Efficiency Forum OVERVIEW of SDG&E / Southern California Gas * Covers most of the southern parts of California: * 24, 000 square miles * Over 24 million residents * 1.4 million electric meters * 6.65 million gas meters (850k + 5.8 million) California's Energy Action Plan II * In 2005, the CPUC and CEC'S EAP II declared: "[The} goal is for California's energy to be adequate, affordable, technologically advanced, and environmentally sound...[C]ost effective

377

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

January 2011 January 2011 Section 1. Commentary Electric Power Data The contiguous United States as a whole experienced temperatures that were below normal in January 2011. Accordingly, the total population-weighted heating degree days for the United States were 4.3 percent above the January normal. Retail sales of electricity increased 1.8 percent from January 2010. Over the same period, the average U.S. retail price of electricity increased 2.9 percent. For the 12-month period ending January 2011, the average U.S. retail price of electricity increased 1.1 percent over the previous 12-month period ending January 2010. In January 2011, total electric power generation in the United States increased 0.5 percent compared to January 2010 (the change in electric power generation does not necessarily coincide with the change in retail sales of electricity

378

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

March 2011 March 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were slightly above normal in March 2011. Accordingly, the total population-weighted heating degree days for the United States were 1.2 percent below the March normal. Retail sales of electricity decreased 0.2 percent from March 2010. Over the same period, the average U.S. retail price of electricity increased 1.1 percent. For the 12-month period ending March 2011, the average U.S. retail price of electricity increased 1.6 percent over the previous 12-month period ending March 2010. In March 2011, total electric power generation in the United States increased 1.2 percent compared to March 2010 (the change in electric power generation does not necessarily coincide with the change in retail sales of

379

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

November 2010 November 2010 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were near normal in November 2010. Accordingly, the total population-weighted heating degree days for the United States were 3.0 percent below the November normal. In November 2010, retail sales of electricity increased 2.0 percent from November 2009. Over the same period, the average U.S. retail price of electricity increased 2.8 percent. For the 12-month period ending November 2010, the average U.S. retail price of electricity increased 0.3 percent over the previous 12-month period ending November 2009. Total electric power generation in the United States increased 3.6 percent compared to November 2009. Over the same period, coal generation remained relatively unchanged, while natural gas generation increased 8.8 percent and

380

Streaming workload generator for testing billing mediation platform in telecom industry  

Science Conference Proceedings (OSTI)

Billing Mediation Platform (BMP) in Telco is used to process real-time streams of Call Detail Records (CDRs) which can number tens of billions a day. The comprehensive records generated by BMPs can be used for billing and accounting, fraud detection, ...

Eric Bouillet; Parijat Dube

2010-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "average monthly bill" 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

SmartCharge: cutting the electricity bill in smart homes with energy storage  

Science Conference Proceedings (OSTI)

Market-based electricity pricing provides consumers an opportunity to lower their electric bill by shifting consumption to low price periods. In this paper, we explore how to lower electric bills without requiring consumer involvement using an intelligent ... Keywords: battery, electricity, energy, grid

Aditya Mishra; David Irwin; Prashant Shenoy; Jim Kurose; Ting Zhu

2012-05-01T23:59:59.000Z

382

The Impact of Rate Design and Net Metering on the Bill Savings from  

E-Print Network (OSTI)

LBNL-3276E The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV Energy (Solar Energy Technologies Program) and the Office of Electricity Delivery and Energy Reliability of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers

383

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

January 2012 | Release Date: Mar. 27, January 2012 | Release Date: Mar. 27, 2012 | Next Release Date: Apr. 27, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: January 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during January 2012. Coal-fired generation decreased in every region of the United States when compared to January 2011. Coal stocks recovered due to decreased consumption this January compared to the same month of 2011. Key Indicators Jan 2012 % Change from Jan. 2011 Total Net Generation (Thousand MWh) 340,743 -6.4%

384

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

August 2011 | Release Date: October 25, August 2011 | Release Date: October 25, 2011 | Next Release Date: November 21, 2011 Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: August 2011 Extreme heat in Texas, New Mexico, Colorado and Arizona drove significant increases in the retail sales of electricity in the Southwest. Wind generation increased in much of the United States, except the middle of the country where total generation declined. Bituminous coal stocks dropped 14% from August 2010. Key indicators Same Month 2010 Year to date Total Net Generation -1% 11% Residential Retail Price -6% 11% Cooling Degree-Days -3% 2%

385

March Natural Gas Monthly  

Gasoline and Diesel Fuel Update (EIA)

'PGTI[+PHQTOCVKQP#FOKPKUVTCVKQP0CVWTCN)CU/QPVJN[/CTEJ 'PGTI[+PHQTOCVKQP#FOKPKUVTCVKQP0CVWTCN)CU/QPVJN[/CTEJ EIA Corrects Errors in Its Drilling Activity Estimates Series William Trapmann and Phil Shambaugh Introduction The Energy Information Administration (EIA) has published monthly and annual estimates of oil and gas drilling activity since 1978. These data are key information for many industry analysts, serving as a leading indicator of trends in the industry and a barometer of general industry status. They are assessed directly for trends, as well as in combination with other measures to assess the productivity and profitability of upstream industry operations. They are a major reference point for policymakers at both the Federal and State level. Users in the private sector include financial

386

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: August 2011 Highlights: August 2011 Extreme heat in Texas, New Mexico, Colorado and Arizona drove significant increases in the retail sales of electricity in the Southwest. Wind generation increased in much of the United States, except the middle of the country where total generation declined. Bituminous coal stocks dropped 14% from August 2010. Key indicators Same Month 2010 Year to date Total Net Generation -1% 11% Residential Retail Price -6% 11% Cooling Degree-Days -3% 2% Natural Gas Price, Henry Hub -6% -9% Bituminous Coal Stocks -14% -14% Subbituminous Coal Stocks -10% -17% Heat wave drives record demand and wholesale prices in Texas A prolonged August heat wave in Texas stressed available generating capacity and produced very high wholesale prices in the Electric

387

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: January 2012 Highlights: January 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during January 2012. Coal-fired generation decreased in every region of the United States when compared to January 2011. Coal stocks recovered due to decreased consumption this January compared to the same month of 2011. Key Indicators Jan 2012 % Change from Jan. 2011 Total Net Generation (Thousand MWh) 340,743 -6.4% Residential Retail Price (cents/kWh) 11.43 4.4% Retail Sales (Thousand MWh) 310,859 -6.5% Heating Degree-Days 751 -21.4% Natural Gas Price, Henry Hub ($/MMBtu) 2.75 -40.3% Coal Stocks (Thousand Tons) 181,621 10.2% Coal Consumption (Thousand Tons) 70,595 -21.7% Natural Gas Consumption (Mcf) 676,045 19.9% Nuclear Outages (MW) 9,567 2.1%

388

15 Ways to Save on Your Water Heating Bill | Department of Energy  

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

15 Ways to Save on Your Water Heating Bill 15 Ways to Save on Your Water Heating Bill 15 Ways to Save on Your Water Heating Bill October 26, 2009 - 3:49pm Addthis Allison Casey Senior Communicator, NREL Sometimes it surprises me to see that the most popular pages on the site are the ones about solar water heaters and demand (or tankless) water heaters. But considering that water heating can account for around 12% of a family's utility bill-the biggest chunk after space heating and cooling-it really shouldn't be that surprising that you want to know how to heat your water more efficiently. Obviously, not everyone is in a position to go out and buy a new water heater, but we can all do something to use less water and save on our bills. Whether you're looking for no-cost habit changes, low-cost purchases or

389

Energy Efficiency Tricks to Stop Your Energy Bill from Haunting You |  

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

Tricks to Stop Your Energy Bill from Haunting You Tricks to Stop Your Energy Bill from Haunting You Energy Efficiency Tricks to Stop Your Energy Bill from Haunting You October 21, 2013 - 2:07pm Addthis This Halloween, keep ghosts and goblins at bay -- while saving energy and money -- with these home energy efficiency tricks. | Infographic by Sarah Gerrity, Energy Department. This Halloween, keep ghosts and goblins at bay -- while saving energy and money -- with these home energy efficiency tricks. | Infographic by Sarah Gerrity, Energy Department. Rebecca Matulka Rebecca Matulka Digital Communications Specialist, Office of Public Affairs What are the key facts? The typical American family spends at least $2,000 a year on their home energy bills. Families can save up to 20-30 percent on their energy bills by

390

Bodman Statement on House Passage of Energy Bill | Department of Energy  

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

House Passage of Energy Bill House Passage of Energy Bill Bodman Statement on House Passage of Energy Bill April 21, 2005 - 10:57am Addthis Washington, DC - Energy Secretary Samuel W. Bodman released the following statement today regarding House passage of energy legislation: "I congratulate the House of Representatives for passing comprehensive energy legislation. This bill will put us on a path to affordable and reliable supplies of energy in the future by improving energy efficiency; increasing domestic energy supplies; diversifying our energy sources to include more renewable energy sources; and modernizing our energy delivery system. For the good of American families, the American economy and America's national security, I call on the Senate to pass energy legislation and get a bill to the President's desk by this summer."

391

Bill Richardson Sworn in as Secretary of Energy | National Nuclear Security  

National Nuclear Security Administration (NNSA)

Bill Richardson Sworn in as Secretary of Energy | National Nuclear Security Bill Richardson Sworn in as Secretary of Energy | 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 > About Us > Our History > NNSA Timeline > Bill Richardson Sworn in as Secretary of Energy Bill Richardson Sworn in as Secretary of Energy August 18, 1998 Washington, DC Bill Richardson Sworn in as Secretary of Energy

392

Petroleum Supply Monthly  

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

4 4 September 2013 Table 8. PAD District 1 - Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-September 2013 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 32 - - - - 843 -1 230 8 1,061 35 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 71 0 45 40 77 - - 1 16 10 205 Pentanes Plus .................................................. 12 0 - - 1 0 - - 0 0 2 9 Liquefied Petroleum Gases ..............................

393

Petroleum Supply Monthly  

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

0 0 September 2013 Table 49. Exports of Crude Oil and Petroleum Products by PAD District, September 2013 (Thousand Barrels) Commodity PAD Districts U.S. Total 1 2 3 4 5 Total Daily Average Crude Oil 1 ............................................................ 94 2,282 598 1 - 2,975 99 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 453 2,129 10,579 380 396 13,937 465 Pentanes Plus .................................................. 300 1,599 652 346 92 2,989 100 Liquefied Petroleum Gases .............................. 153 530 9,927 34 304 10,947 365 Ethane/Ethylene ........................................... - - - - - - - Propane/Propylene ....................................... 126 199 9,412 4 299 10,040 335 Normal Butane/Butylene ...............................

394

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: January 2012 Electric Power Sector Coal Stocks: January 2012 Stocks Above normal temperatures in January have allowed electric utilities to significantly replinish stockpiles of coal. The upswing in coal stockpiles corresponds to decreasing consumption of coal at electric generators seen in the resource use section across all regions of the country. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. Along with coal stockpiles at electric power plants, the supply of coal significantly increased in January of 2012. Total bituminous coal days of burn increased 10 percent from January 2011 to 87, while subbituminous supply increased nearly 10

395

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 Table 3. U.S. Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports Adjust- ments 1 Stock Change 2 Refinery and Blender Net Inputs Exports Products Supplied 3 Crude Oil 4 ............................................................ 5,877 - - - - 8,716 83 -218 14,841 53 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 2,351 -20 372 252 - - -417 566 206 2,600 Pentanes Plus .................................................. 296 -20 - - 78 - - 37 172 71 75 Liquefied Petroleum Gases .............................. 2,055 - - 372 174 - - -454 394 135 2,525

396

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 Table 15. PAD District 3 - Daily Average Supply and Disposition of Crude Oil and Petroleum Products, December 2011 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil 6 ............................................................ 3,327 - - - - 4,646 -720 39 -191 7,482 - 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 1,380 -1 304 84 227 - - -113 306 108 1,693 Pentanes Plus .................................................. 155 -1 - - 77 -58 - - 35 106 1 31 Liquefied Petroleum Gases ..............................

397

Petroleum Supply Monthly  

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

2 2 September 2013 Table 16. PAD District 3 - Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-September 2013 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil 6 ............................................................ 4,354 - - - - 3,718 -413 345 75 7,905 24 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 1,615 0 454 39 170 - - 62 282 267 1,666 Pentanes Plus .................................................. 195 0 - - 36 -65 - - 15 113 4 35 Liquefied Petroleum Gases

398

Petroleum Supply Monthly  

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

September 2013 Table 4. U.S. Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-September 2013 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports Adjust- ments 1 Stock Change 2 Refinery and Blender Net Inputs Exports Products Supplied 3 Crude Oil 4 ............................................................ 7,340 - - - - 7,778 239 25 15,229 104 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 2,516 -18 716 175 - - 133 465 434 2,358 Pentanes Plus .................................................. 340 -18 - - 38 - - 20 168 134 38 Liquefied Petroleum Gases .............................. 2,176 - - 716

399

Petroleum Supply Monthly  

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

30 30 September 2013 Table 24. PAD District 5 - Year-to-Date Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January-September 2013 (Thousand Barrels per Day) Commodity Supply Disposition Field Production Renewable Fuels and Oxygenate Plant Net Production Refinery and Blender Net Production Imports (PADD of Entry) 1 Net Receipts 2 Adjust- ments 3 Stock Change 4 Refinery and Blender Net Inputs Exports Products Supplied 5 Crude Oil ............................................................. 1,101 - - - - 1,091 - 115 -14 2,320 1 0 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 65 0 67 5 - - - 13 63 14 47 Pentanes Plus .................................................. 29 0 - - - - - - 1 21 4 3 Liquefied Petroleum Gases ..............................

400

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

4 4 December 2011 Table 50. Year-to-Date Exports of Crude Oil and Petroleum Products by PAD District, January-December 2011 (Thousand Barrels) Commodity PAD Districts U.S. Total 1 2 3 4 5 Total Daily Average Crude Oil 1 ............................................................ 2,147 13,574 1,237 191 9 17,158 47 Natural Gas Plant Liquids and Liquefied Refinery Gases ................................................... 3,739 15,542 42,403 2,288 6,081 70,053 192 Pentanes Plus .................................................. 2,075 11,913 179 1,415 340 15,922 44 Liquefied Petroleum Gases .............................. 1,664 3,628 42,224 873 5,741 54,131 148 Ethane/Ethylene ........................................... - - - - - - - Propane/Propylene ....................................... 401 514 40,084 58 4,187 45,243

Note: This page contains sample records for the topic "average monthly bill" 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

Autoregressive forecast of monthly total ozone concentration: A neurocomputing approach  

Science Conference Proceedings (OSTI)

The present study endeavors to generate autoregressive neural network (AR-NN) models to forecast the monthly total ozone concentration over Kolkata (22^o34', 88^o22'), India. The issues associated with the applicability of neural network to geophysical ... Keywords: Autoregressive moving average, Autoregressive neural network, Monthly total ozone, Predictive model

Goutami Chattopadhyay; Surajit Chattopadhyay

2009-09-01T23:59:59.000Z

402

Geographic Area Month  

Gasoline and Diesel Fuel Update (EIA)

58.5 58.5 57.1 54.8 49.4 50.9 45.9 February ............................. 57.7 56.4 53.3 48.1 48.7 43.6 March .................................. 55.9 54.3 51.1 45.6 46.0 40.1 April .................................... 56.2 57.9 52.1 47.4 43.8 41.7 May ..................................... NA 56.4 51.2 46.1 43.6 40.3 June .................................... NA 52.1 48.0 42.8 40.8 36.5 July ..................................... NA 50.1 47.2 41.9 38.4 37.5 August ................................ NA 51.3 45.8 40.5 36.2 36.0 September .......................... NA 53.3 49.2 44.9 39.9 36.1 October ............................... 57.8 53.7 49.7 44.6 43.1 35.3 November ........................... 56.2 49.5 47.0 40.9 43.3 36.8 December ........................... 50.1 43.5 42.0 35.2 39.4 30.2 1998 Average

403

Use of electricity billing data to determine household energy use fingerprints  

Science Conference Proceedings (OSTI)

Ways to analyze billing data are discussed. The starting point for these analyses is a method developed at Princeton University. Their Scorekeeping model permits decomposition of total household energy use into its weather- and nonweather-sensitive elements; the weather-sensitive portion is assumed proportional to heating degree days. The Scorekeeping model also allows one to compute weather-adjusted energy consumption for each household based on its billing data and model parameters; this is the model's estimate of annual consumption under long-run weather conditions. The methods discussed here extend the Scorekeeping results to identify additional characteristics of household energy use. In particular, the methods classify households in terms of the intensity with which the particular fuel is used for space heating (primary heating fuel vs supplemental heating fuel vs no heating at all with the fuel). In addition, households that use the particular fuel for air conditioning are identified. In essence, the billing data and model results are used to determine household energy use fingerprints. The billing data and model results can also be used to identify and correct anomalous bills. The automated method discussed here identifies anomalously high or low utility bills, which are then dropped before re-estimation of the Scorekeeping model parameters. Alternatively, a pair of bills may be combined if one is very high and a temporally adjacent bill is very low. The Scorekeeping model is then re-estimated after the two bills are combined into one. The methods permit careful examination and analysis of changes in energy use from one year to another.

Hirst, E.; Goeltz, R.; White, D.

1984-08-01T23:59:59.000Z

404

Monthly Energy Review - January 2007  

Gasoline and Diesel Fuel Update (EIA)

publications: Other monthly EIA reports are Petroleum Supply Monthly, Petroleum publications: Other monthly EIA reports are Petroleum Supply Monthly, Petroleum Marketing Monthly, Natural Gas Monthly, Electric Power Monthly, and International Petroleum Monthly. Readers of the MER may also be interested in EIA's Annual Energy Review, where many of the same data series are provided annually beginning with 1949. For more information, contact the National Energy Information Center at 202-586-8800 or InfoCtr@eia.doe.gov. Electronic Access The MER is available on EIA's Web site in a variety of formats at: http://www.eia.doe.gov/mer. Complete MER, and individual MER sections: Portable Document Format (PDF) files. Individual table and graph pages: PDF files. Data files for individual tables: Excel (XLS) files and ASCII comma-delimited (CSV) files.

405

Plug-in privacy for Smart Metering billing  

E-Print Network (OSTI)

Smart Metering is a concept that allows to collect fine-grained consumption profiles from customers by replacing traditional electricity meters with Smart Meters in customers' households. The recorded consumption profile is the basis for the calculation of time-dependent tariffs but also allows deduction of the inhabitant's personal schedules and habits. The current reporting of such consumption profiles only protects this data from 3rd parties but falls short to protect the customer's privacy from illegitimate abuse by the supplier itself. We propose a privacy-preserving profile reporting protocol that enables billing for time-dependent tariffs without disclosing the actual data of the consumption profile to the supplier. Our approach relies on a zero-knowledge proof based on Pedersen Commitments performed by a plug-in privacy component that is put into the communication link between Smart Meter and supplier's back-end systems and requires no change to Smart Meter hardware and only little change to the softw...

Jawurek, Marek; Kerschbaum, Florian

2010-01-01T23:59:59.000Z

406

Residual Fuel Oil Prices, Average - Sales to End Users  

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

Product/Sales Type: Residual Fuel, Average - Sales to End Users Residual Fuel, Average - Sales for Resale Sulfur Less Than or Equal to 1% - Sales to End Users Sulfur Less Than or Equal to 1% - Sales for Resale Sulfur Greater Than 1% - Sales to End Users Sulfur Greater Than 1% - Sales for Resale Period: Monthly Annual Product/Sales Type: Residual Fuel, Average - Sales to End Users Residual Fuel, Average - Sales for Resale Sulfur Less Than or Equal to 1% - Sales to End Users Sulfur Less Than or Equal to 1% - Sales for Resale Sulfur Greater Than 1% - Sales to End Users Sulfur Greater Than 1% - Sales for Resale Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product/Sales Type Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. - - - - - - 1983-2013 East Coast (PADD 1) - - - - - - 1983-2013 New England (PADD 1A) - - - - - - 1983-2013 Connecticut - - - - - - 1983-2013 Maine - - - - - - 1983-2013 Massachusetts - - - - - - 1983-2013

407

Monthly energy review, August 1997  

SciTech Connect

The Monthly Energy Review for the month of August 1997, presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

NONE

1997-08-01T23:59:59.000Z

408

INVERSIONS FOR AVERAGE SUPERGRANULAR FLOWS USING FINITE-FREQUENCY KERNELS  

Science Conference Proceedings (OSTI)

I analyze the maps recording the travel-time shifts caused by averaged plasma anomalies under an 'average supergranule', constructed by means of statistical averaging over 5582 individual supergranules with large divergence signals detected in two months of Helioseismic and Magnetic Imager Dopplergrams. By utilizing a three-dimensional validated time-distance inversion code, I measure a peak vertical velocity of 117 {+-} 2 m s{sup -1} at depths around 1.2 Mm in the center of the supergranule and a root-mean-square vertical velocity of 21 m s{sup -1} over the area of the supergranule. A discrepancy between this measurement and the measured surface vertical velocity (a few m s{sup -1}) can be explained by the existence of the large-amplitude vertical flow under the surface of supergranules with large divergence signals, recently suggested by Duvall and Hanasoge.

Svanda, Michal, E-mail: michal@astronomie.cz [Astronomical Institute, Academy of Sciences of the Czech Republic (v.v.i.), Fricova 298, CZ-25165 Ondrejov (Czech Republic)

2012-11-10T23:59:59.000Z

409

Monthly Flash Estimates of Electric Power Data Section 1. Commentary Data for:  

E-Print Network (OSTI)

1.84F (1.02C) below the 20th century mean of 34.7F (1.5C), making it the 34th coldest February in the 1895-2007 record. For the month, heating degree days were 18.6 percent higher than February 2006, and 15.7 percent higher than normal, as measured over the 1971-2000 time period. In February 2007, increased demand for winter heating resulted in a 5.3-percent growth in electricity generation compared to February 2006. February 2007 retail sales of electricity increased 7.6 percent when compared to February 2006. The higher growth rate for sales of electricity relative to generation is influenced by the fact that the utility billing cycles tend to lag electricity production in many areas. The average U.S. retail price of electricity in February 2007 showed a 3.7-percent jump from February 2006, and a 0.2-percent increase from January 2006 Electricity generation in February 2007 from all major fuel categories was up from February 2006, with the exception of hydroelectric generation, which was down 25.7 percent due to significantly lower than normal precipitation observed in the northeastern and northwestern regions of the country. Coal generation increased 2.8 percent, natural gas generation increased 24.0 percent, petroleum liquids generation increased 136.0 percent, and nuclear generation was up 4.2 percent. The significantly higher generation for both natural gas and petroleum liquids, normally associated with peaking generators, can be attributed to the below normal temperatures that were observed in February 2007.

unknown authors

2007-01-01T23:59:59.000Z

410

LOFT Monthly Progress Report for November 1980  

SciTech Connect

During November major work efforts were directed towards preparation for Test L3-6/L8-1. These tests, to be run in sequence, will evalute the system effects of primary coolant pump operation during a small break LOCA (L3-6), and are to obtain a partial core uncovery to aid in the planning and conduct of future core uncovery experiments (L8-1). Plant modifications in preparation for the December test included installation of a new PC-3 gamma densitometer to measure the density of fluid coming from the steam generator and the installation of the EPRI Liquid Level Detector system to measure levels of fluid during the core uncovery experiment. Other key efforts concerned planning for test conduct and safety analysis. On November 6 and 7 the LOFT Review Group met in Idaho Falls to evaluate the activities on LOFT since its last meeting in February. Future test plans, budgets, the man-machine (AOC) program, and various other topics presented by LOFT personnel and consultants were discussed. Several suggestions were presented by those in attendance. These comments were directed to the areas of test scheduling and the kinds of tests to be run as well as how LOFT could better communicate with utilities and vendors to transmit information to the general nuclear power industry. Overall costs are in good agreement with current budgets and authorized funding levels. In the areas of fuel design and analysis, a temporary overrun will be shown for the first few months of the fiscal year. This overrun is due to an Exxon billing received ahead of schedule. A recovery plan has been implemented and actuals are expected to be in agreement with budget by January 1981.

N. C. Kaufman

1980-12-01T23:59:59.000Z

411

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

Open Energy Info (EERE)

at 10km resolution for Cuba from SUNY

(Abstract):Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba

(Purpose):<...

412

Solar: monthly global horizontal (GHI) GIS data at 10km resolution...  

Open Energy Info (EERE)

Central America from SUNY

(Abstract):Monthly Average Solar Resource for horizontal flat-plate solar collectors for Central America
<...

413

Solar: monthly direct normal (DNI) GIS data at 10km resolution...  

Open Energy Info (EERE)

visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam...

414

Solar: monthly direct normal (DNI) GIS data at 40km resolution...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

415

Solar: monthly global horizontal (GHI) GIS data at 40km resolution...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

416

Solar: monthly latitude tilt GIS data at 40km resolution for...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

417

Cost Avoidance vs. Utility Bill Accounting - Explaining theDiscrepancy Between Guaranteed Savings in ESPC Projects and UtilityBills  

SciTech Connect

Federal agencies often ask if Energy Savings PerformanceContracts (ESPCs) result in the energy and cost savings projected duringthe project development phase. After investing in ESPCs, federal agenciesexpect a reduction in the total energy use and energy cost at the agencylevel. Such questions about the program are common when implementing anESPC project. But is this a fair or accurate perception? Moreimportantly, should the federal agencies evaluate the success or failureof ESPCs by comparing the utility costs before and after projectimplementation?In fact, ESPC contracts employ measurement andverification (M&V) protocols to measure and ensure kilowatt-hour orBTU savings at the project level. In most cases, the translation toenergy cost savings is not based on actual utility rate structure, but acontracted utility rate that takes the existing utility rate at the timethe contract is signed with a clause to escalate the utility rate by afixed percentage for the duration of the contract. Reporting mechanisms,which advertise these savings in dollars, may imply an impact to budgetsat a much higher level depending on actual utility rate structure. FEMPhas prepared the following analysis to explain why the utility billreduction may not materialize, demonstrate its larger implication onagency s energy reduction goals, and advocate setting the rightexpectations at the outset to preempt the often asked question why I amnot seeing the savings in my utility bill?

Kumar, S.; Sartor, D.

2005-08-15T23:59:59.000Z

418

Electric Power Monthly - Monthly Data Tables | OpenEI  

Open Energy Info (EERE)

Power Monthly - Monthly Data Tables Power Monthly - Monthly Data Tables Dataset Summary Description Monthly electricity generation figures (and the fuel consumed to produce it). Source information available at EIA. Source EIA Date Released July 20th, 2010 (4 years ago) Date Updated July 20th, 2010 (4 years ago) Keywords consumption EIA Electricity Electricity Consumption Electricity Generation Data application/vnd.ms-excel icon generation_state_mon.xls (xls, 32.5 MiB) application/vnd.ms-excel icon consumption_state_mon.xls (xls, 14.7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Monthly Time Period License License Other or unspecified, see optional comment below Comment Work of the U.S. Federal Government Rate this dataset Usefulness of the metadata

419

SoCalGas - Non-Residential On-Bill Financing Program | Department of Energy  

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

On-Bill Financing Program On-Bill Financing Program SoCalGas - Non-Residential On-Bill Financing Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Schools State Government Tribal Government Savings Category Other Program Info State California Program Type Utility Loan Program Rebate Amount General Minimum Loan Amount: $5,000/meter minimum Non-Institutional Customers: up to $100,000/meter with 5 year max payback Taxpayer Funded Institutions: up to $250,000/meter with 10 year max payback State of California: up to $1,000,000 with 10 year max payback Provider Southern California Gas Company The SoCalGas On-Bill Financing (OBF) program offers qualified business customers 0% financing from $5,000 to $100,000 per meter for qualifying

420

Planning Bill Nye The Science Guy's Climate Research Lab at Chabot Space  

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

Planning Bill Nye The Science Guy's Climate Research Lab at Chabot Space Planning Bill Nye The Science Guy's Climate Research Lab at Chabot Space and Science Center Speaker(s): Andrew Anway David Bloom Date: September 24, 2008 - 12:00pm Location: 90-3075 Seminar Host/Point of Contact: Allan Chen Sometime in 2009, the Chabot Space and Science Center hopes to debut a new museum exhibition tentatively titled Bill Nye The Science Guy's Climate Research Lab, subtitle, Mission Possible: Reduce the CO2. The interactive show is anchored by science educator Bill Nye the Science Guy, is aimed towards children and families. It will explain the basic science behind climate change, and its potential effects on humans and the rest of the biosphere, while exploring some ways of reducing greenhouse gas emissions, both what we can do now, and advanced technologies that may someday play a

Note: This page contains sample records for the topic "average monthly bill" 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

VIDEO: Bill Gates and Secretary Chu Chat on the Future of Energy |  

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

VIDEO: Bill Gates and Secretary Chu Chat on the Future of Energy VIDEO: Bill Gates and Secretary Chu Chat on the Future of Energy VIDEO: Bill Gates and Secretary Chu Chat on the Future of Energy March 5, 2012 - 1:24pm Addthis Secretary Chu sits down with Microsoft Founder and Chairman Bill Gates at the 2012 ARPA-E Energy Innovation Summit. April Saylor April Saylor Former Digital Outreach Strategist, Office of Public Affairs Last week, attendees at the 2012 ARPA-E Energy Innovation Summit heard from a variety of leaders from across the research, business and government sectors who spoke at the conference of nearly 2,400. These speakers, along with the startup companies and innovators in attendance, converged outside of Washington, D.C., to offer their take on how America can tackle our energy challenges. One of the top-level highlights from the Summit included this fireside chat

422

Iowa Shade Trees Bring Energy Bills Down, Beauty Up | Department of Energy  

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

Shade Trees Bring Energy Bills Down, Beauty Up Shade Trees Bring Energy Bills Down, Beauty Up Iowa Shade Trees Bring Energy Bills Down, Beauty Up November 10, 2010 - 9:00am Addthis Volunteers from the Waverly Trees Forever group are planting windbreak trees on the north side of the mobile home court. Waverly experienced record flooding in 2008. | Photo Courtesy of Trees Forever Volunteers from the Waverly Trees Forever group are planting windbreak trees on the north side of the mobile home court. Waverly experienced record flooding in 2008. | Photo Courtesy of Trees Forever Lindsay Gsell What are the key facts? Iowa non-profit will plant 2,500 trees to encourage energy efficiency Using nearly $160,000 in State Energy Program funding through the Recovery Act Large shade trees can lower cooling bills by up to 30 percent

423

Iowa Shade Trees Bring Energy Bills Down, Beauty Up | Department of Energy  

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

Iowa Shade Trees Bring Energy Bills Down, Beauty Up Iowa Shade Trees Bring Energy Bills Down, Beauty Up Iowa Shade Trees Bring Energy Bills Down, Beauty Up November 10, 2010 - 9:00am Addthis Volunteers from the Waverly Trees Forever group are planting windbreak trees on the north side of the mobile home court. Waverly experienced record flooding in 2008. | Photo Courtesy of Trees Forever Volunteers from the Waverly Trees Forever group are planting windbreak trees on the north side of the mobile home court. Waverly experienced record flooding in 2008. | Photo Courtesy of Trees Forever Lindsay Gsell What are the key facts? Iowa non-profit will plant 2,500 trees to encourage energy efficiency Using nearly $160,000 in State Energy Program funding through the Recovery Act Large shade trees can lower cooling bills by up to 30 percent

424

ARPA-E Announces 2012 Energy Innovation Summit Featuring Bill Gates, Fred  

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

Announces 2012 Energy Innovation Summit Featuring Bill Announces 2012 Energy Innovation Summit Featuring Bill Gates, Fred Smith and Lee Scott ARPA-E Announces 2012 Energy Innovation Summit Featuring Bill Gates, Fred Smith and Lee Scott September 9, 2011 - 9:25am Addthis New York, NY - The U.S. Department of Energy's Advanced Research Projects Agency - Energy (ARPA-E) Director, Arun Majumdar, announced yesterday that the Agency will hold its third annual ARPA-E Energy Innovation Summit from February 27 - 29, 2012 at the Gaylord Convention Center just outside Washington, D.C. Bill Gates, founder and chairman of Microsoft; Fred Smith, chairman, president and CEO of FedEx; and Lee Scott, former CEO of Wal-Mart; will join Secretary Chu and Director Majumdar as distinguished keynote speakers. "After two successful Summits, I'm excited to once again bring some of

425

SDG&E- Non-Residential On-Bill Financing Program  

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

The SDG&E On-Bill Financing (OBF) program offers qualified business customers 0% financing from $5,000 to $100,000 per meter for qualifying natural gas equipment. All institutional customers...

426

SCE - Non-Residential On-Bill Financing Program | Department of Energy  

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

On-Bill Financing Program On-Bill Financing Program SCE - Non-Residential On-Bill Financing Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Schools State Government Tribal Government Savings Category Other Maximum Rebate Taxpayer Funded Institutions: up to $250,000/meter with 5 year max payback Non-Institutional Customers: up to $100,000/meter with 5 year max payback State of California: up to $1,000,000 with 10 year max payback Program Info Start Date 8/2/2010 State California Program Type Utility Loan Program Rebate Amount 5,000 minimum Provider Business Programs The SoCalGas On-Bill Financing (OBF) program offers qualified business customers 0% financing from $5,000 to $100,000 per meter for qualifying

427

New Jersey Natural Gas - SAVEGREEN On-Bill Financing Program | Department  

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

New Jersey Natural Gas - SAVEGREEN On-Bill Financing Program New Jersey Natural Gas - SAVEGREEN On-Bill Financing Program New Jersey Natural Gas - SAVEGREEN On-Bill Financing Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Construction Commercial Weatherization Design & Remodeling Other Sealing Your Home Ventilation Maximum Rebate $10,000 Program Info State New Jersey Program Type Utility Loan Program Rebate Amount $2,500-$10,000 Provider New Jersey Natural Gas Through the SAVEGREEN Project, New Jersey Natural Gas (NJNG) provides an On-Bill Repayment Program. Qualified customers can borrow $2,500-$10,000 at 0% APR fixed rate for 10 years with no fees, points or closing costs. A variety of equipment and measures may qualify for financing under this

428

The Impact of Rate Design and Net Metering on the Bill Savings from  

Open Energy Info (EERE)

Impact of Rate Design and Net Metering on the Bill Savings from Impact of Rate Design and Net Metering on the Bill Savings from Distributed Photovoltaics (PV) for Residential Customers in California Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Impact of Rate Design and Net Metering on the Bill Savings from Distributed Photovoltaics (PV) for Residential Customers in California Focus Area: Renewable Energy Topics: Best Practices Website: eetd.lbl.gov/ea/emp/reports/lbnl-3276e.pdf Equivalent URI: cleanenergysolutions.org/content/impact-rate-design-and-net-metering-b Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration & Implementation This report analyzes the bill savings from photovoltaic (PV) deployment for residential customers of California's two largest electric utilities -

429

Solar: annual average direct normal (DNI) GIS data at 10km resolution for  

Open Energy Info (EERE)

GIS data at 10km resolution for GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This

430

Average Residential Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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

431

Electric Power Monthly - Energy Information Administration  

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

Electric Power Monthly Electric Power Monthly Data for October 2013 | Release Date: December 20, 2013 | Next Release: January 22, 2014 | full report Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 October 2012 September 2012 August 2012 July 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012(Nov) January 2012(Oct) December 2011 November 2011 October 2011 September 2011 August 2011 July 2011 June 2011 May 2011 April 2011 March 2011 February 2011 January 2011 issues prior to 2011 Format: pdf zip Go New Addition: Use EIA's new interactive Electricity Data Browser to find generation, fuel consumption, sales, revenue and average price time series,

432

Seeing Savings from an ESPC Project in Fort Polk's Utility Bills  

SciTech Connect

Federal agencies have implemented many energy efficiency projects over the years with direct funding or alternative financing vehicles such as energy savings performance contracts (ESPCs). While it is generally accepted that these projects save energy and costs, the savings are usually not obvious in the utility bills. This is true for many valid technical reasons, even when savings are verified in other ways to the highest degree of certainty. However, any perceived deficiency in the evidence for savings is problematic when auditors or other observers evaluate the outcome of energy projects and the achievements of energy management programs. This report discusses under what circumstances energy savings should or should not be evident in utility bills. In the special case of a large ESPC project at the Army's Fort Polk, the analysis of utility bills carried out by the authors does unequivocally confirm and quantify savings. The data requirements and methods for arriving at definitive answers through utility bill analysis are demonstrated in our discussion of the Fort Polk project. The following paragraphs address why the government generally should not expect to see savings from ESPC projects in their utility bills. We also review lessons learned and best practices for measurement and verification (M&V) that can assure best value for the government and are more practical, straightforward, and cost-effective than utility bill analysis.

Shonder, J.A.

2005-03-08T23:59:59.000Z

433

Monthly Energy Review - December 2009  

Gasoline and Diesel Fuel Update (EIA)

Formats Formats (PDF) files; however, all annual data are shown in the Excel and comma-separated values (CSV) files. Also, only two to three years of monthly data are displayed in the PDF files; however, for many series, monthly data beginning with January 1973 are available in the Excel and CSV files. Comprehensive Changes: Each month, most MER tables and figures carry a new month of data, which is usually preliminary (and sometimes estimated or even forecast) and likely to be revised in the succeeding month. Annual Data From 1949: The emphasis of the MER is on recent monthly and annual data trends. Analysts may wish to use the data in this report in conjunction with EIA's Annual Energy Review (AER) that offers annual data beginning in 1949 for many of the data series found in the

434

Prompt-Month Energy Futures  

Gasoline and Diesel Fuel Update (EIA)

Prompt-Month Energy Futures Prompt-Month Energy Futures Prices and trading activity shown are for prompt-month (see definition below) futures contracts for the energy commodities listed in the table below. Note that trading for prompt-month futures contracts ends on different dates at the end of the month for the various commodities; therefore, some commodity prices may reference delivery for the next month sooner than other commodity prices. Product Description Listed With Crude Oil ($/barrel) West Texas Intermediate (WTI) light sweet crude oil delivered to Cushing, Oklahoma More details | Contract specifications New York Mercantile Exchange (Nymex) Gasoline-RBOB ($/gallon) Reformulated gasoline blendstock for oxygenate blending (RBOB) gasoline delivered to New York Harbor More details | Contract specifications Nymex

435

Electric power monthly, January 1991. [Contains glossary  

SciTech Connect

This publication provides monthly statistics at the national, Census division, and state levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, and average revenue per kilowatthour of electricity sold. Data on net generation are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, company and plant level information are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 48 tabs.

1991-01-17T23:59:59.000Z

436

Electric Power Monthly, September 1991. [CONTAINS GLOSSARY  

SciTech Connect

This publication provides monthly statistics at the national, Census division, and state levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, statistics at the company and plant level are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 63 tabs.

1991-09-12T23:59:59.000Z

437

Electric power monthly, October 1991. [CONTAINS GLOSSARY  

SciTech Connect

This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, statistics at the company and plant level are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 63 tabs.

1991-10-11T23:59:59.000Z

438

Electric power monthly, November 1991. [Contains glossary  

SciTech Connect

This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, statistics at the company and plant level are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 63 tabs.

1991-11-18T23:59:59.000Z

439

Electricity Monthly Update - Energy Information Administration  

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

all Electricity Reports all Electricity Reports Electricity Monthly Update With Data for October 2013 | Release Date: Dec. 20, 2013 | Next Release Date: Jan. 22, 2014 Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: October 2013 Thirty-one states saw the average cost of electricity increase by more than two percent, with fourteen states experiencing increases of at least five percent compared to a year ago. Texas (ERCOT) and the Midwest (MISO) experienced above average wholesale electricity prices for October due to unseasonable temperatures. The New York City (Transco Zone 6 NY) natural gas price was

440

Monthly energy review, January 1998  

SciTech Connect

This report presents an overview of recent monthly energy statistics. Major activities covered include production, consumption, trade, stocks, and prices for fossil fuels, electricity, and nuclear energy.

NONE

1998-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average monthly bill" 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

Natural gas monthly, July 1997  

Science Conference Proceedings (OSTI)

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is entitled ``Intricate puzzle of oil and gas reserves growth.`` A special report is included on revisions to monthly natural gas data. 6 figs., 24 tabs.

NONE

1997-07-01T23:59:59.000Z

442

Natural gas monthly, May 1994  

Science Conference Proceedings (OSTI)

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The featured articles for this month are: Opportunities with fuel cells, and revisions to monthly natural gas data.

Not Available

1994-05-25T23:59:59.000Z

443

Natural gas monthly, August 1995  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. This month`s feature article is on US Natural Gas Imports and Exports 1994.

NONE

1995-08-24T23:59:59.000Z

444

Monthly energy review. May 1998  

SciTech Connect

This report presents recent energy monthly statistics on the production, consumption, trade, stocks, and prices of petroleum, natural gas, coal, electricity, and nuclear energy.

NONE

1998-05-01T23:59:59.000Z

445

Electric Power Monthly January 2012  

U.S. Energy Information Administration (EIA)

Electric Power Monthly January 2012 With Data for November 2011 ... Electric Utility Power Generation Station (PGS) 2 CA 57696 1 3.8 OBG GT

446

Monthly Energy Review - November 1999  

Annual Energy Outlook 2012 (EIA)

November 23, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1),...

447

Monthly Energy Review - March 2000  

Annual Energy Outlook 2012 (EIA)

March 28, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and...

448

Electric Power Monthly March 2011  

U.S. Energy Information Administration (EIA)

order to provide an integrated view of the electric power ... EIA, Department of Energy prepares the EPM. This publication provides monthly statistics at the State

449

Average Stock Levels: Crude Market & Propane  

U.S. Energy Information Administration (EIA)

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

450

Optimization Online - String-Averaging Projected Subgradient ...  

E-Print Network (OSTI)

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

451

Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, December  

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

River, LLC, Monthly Model Evaluation Study Report, River, LLC, Monthly Model Evaluation Study Report, December 2006 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, December 2006 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River, L.L.C, (Mirant) is operating per the terms and conditions of the Administrative Compliance Order (ACO) dated June 1, 2006. Under the terms of ACO, Mirant is to deliver a monthly report to include: (1) the modeled input files and results of the daily Predictive Modeling for the preceding month, including the hourly average heat input in the MMBtu for each unit and the exit velocity (or exhaust volume) for each unit; (2) verification that the planned Operating Parameters utilized for Predictive Modeling in the preceding month were not exceeded, or if exceeded, documentation

452

Dynamic Multiscale Averaging (DMA) of Turbulent Flow  

SciTech Connect

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

Richard W. Johnson

2012-09-01T23:59:59.000Z

453

Monthly energy review, November 1996  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 75 tabs.

1996-11-01T23:59:59.000Z

454

Monthly energy review, May 1999  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

NONE

1999-05-01T23:59:59.000Z

455

Monthly energy review, October 1998  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

NONE

1998-10-01T23:59:59.000Z

456

Monthly energy review, February 1999  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 73 tabs.

NONE

1999-02-01T23:59:59.000Z

457

Monthly energy review, March 1999  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 74 tabs.

NONE

1999-03-01T23:59:59.000Z

458

Monthly Energy Review - October 2013  

Annual Energy Outlook 2012 (EIA)

e r 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

459

Monthly energy review, November 1997  

Science Conference Proceedings (OSTI)

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 91 tabs.

NONE

1997-11-01T23:59:59.000Z

460

Monthly energy review, July 1998  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs. 73 tabs.

NONE

1998-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "average monthly bill" 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

Monthly energy review: April 1996  

Science Conference Proceedings (OSTI)

This monthly report presents an overview of energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. A section is also included on international energy. The feature paper which is included each month is entitled ``Energy equipment choices: Fuel costs and other determinants.`` 37 figs., 59 tabs.

NONE

1996-04-01T23:59:59.000Z

462

Monthly Energy Review - December 2013  

Annual Energy Outlook 2012 (EIA)

e r 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

463

Monthly Energy Review - February 2002  

Annual Energy Outlook 2012 (EIA)

2 E n e r g y P l u g : G r e e n h o u s e G a s e s 2 0 0 0 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's...

464

Monthly Energy Review - May 2012  

Annual Energy Outlook 2012 (EIA)

Ma y 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

465

Monthly Energy Review - November 2012  

Annual Energy Outlook 2012 (EIA)

e r 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

466

Monthly Energy Review - December 2001  

Annual Energy Outlook 2012 (EIA)

i o n R e s o u r c e s M i d - T e r m N a t u r a l G a s P r o s p e c t s Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

467

Monthly Energy Review - August 2013  

Annual Energy Outlook 2012 (EIA)

s t 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

468

Monthly Energy Review - September 2002  

Annual Energy Outlook 2012 (EIA)

2 E n e r g y P l u g : D i e s e l F u e l P r i c e P a s s - t h r o u g h Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

469

Monthly Energy Review - December 2010  

Annual Energy Outlook 2012 (EIA)

D e c e mb e r 2 0 1 0 D O E E I A - 0 0 3 5 ( 2 0 1 0 1 2 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary...

470

Monthly Energy Review - January 2013  

Annual Energy Outlook 2012 (EIA)

r y 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

471

Monthly Energy Review - February 2013  

Annual Energy Outlook 2012 (EIA)

r y 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's...

472

Monthly energy review, June 1998  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 36 figs., 61 tabs.

NONE

1998-06-01T23:59:59.000Z

473

Monthly Energy Review, February 1996  

Science Conference Proceedings (OSTI)

This monthly publication presents an overview of EIA`s recent monthly energy statistics, covering the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief descriptions (`energy plugs`) on two EIA publications are presented at the start.

NONE

1996-02-26T23:59:59.000Z

474

Bayesian curve estimation by model averaging  

Science Conference Proceedings (OSTI)

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

Daniel Pea; Dolores Redondas

2006-02-01T23:59:59.000Z

475

Monthly Energy Review - December 2012  

Gasoline and Diesel Fuel Update (EIA)

EIA's Office of Communications via email EIA's Office of Communications via email at infoctr@eia.gov. Important Notes About the Data Data Displayed: For tables beginning in 1973, some annual data (usually 1974, 1976-1979, 1981-1984, 1986-1989, and 1991-1994) are not shown in the tables in Portable Document Format (PDF) files; however, all annual data are shown in the Excel and comma-separated values (CSV) files. Also, only two to three years of monthly data are displayed in the PDF files; however, for many series, monthly data beginning with January 1973 are available in the Excel and CSV files. Comprehensive Changes: Each month, most MER tables and figures carry a new month of data, which is usually preliminary (and sometimes estimated or even forecast) and likely to be revised in the succeeding month.

476

Property:SalinityAverage | Open Energy Information  

Open Energy Info (EERE)

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

477

Electric power monthly, March 1998 with data for December 1997  

SciTech Connect

The Electric Power Monthly (EPM) provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. 63 tabs.

NONE

1998-03-01T23:59:59.000Z

478

MONTHLY NATURAL GAS PRODUCTION REPORT  

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

No. 1905-0205 No. 1905-0205 Expiration Date: 05/31/2015 Burden: 3 hours MONTHLY NATURAL GAS PRODUCTION REPORT Version No.: 2011.001 REPORT PERIOD: Month: Year: If any respondent identification data has changed since the last report, enter an "X" in the box: - - - - Mail to: - Oklahoma 2. Natural Gas Lease Production 1. Gross Withdrawals of Natural Texas Contact Title: COMMENTS: Identify any unusual aspects of your operations during the report month. (To start a new line, use alt + enter.) Wyoming Other States Alaska New Mexico City: Gas Louisiana Company Name: Address 1:

479

Natural gas monthly, June 1994  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is the executive summary from Natural Gas 1994: Issues and Trends. 6 figs., 31 tabs.

Not Available

1994-06-01T23:59:59.000Z

480

Natural gas monthly, November 1996  

Science Conference Proceedings (OSTI)

The report highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the Natural Gas Monthly features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is ``US natural gas imports and exports-1995``. 6 figs., 24 tabs.

NONE

1996-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "average monthly bill" 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

Natural gas monthly, June 1996  

Science Conference Proceedings (OSTI)

The natural gas monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article for this month is Natural Gas Industry Restructuring and EIA Data Collection.

NONE

1996-06-24T23:59:59.000Z

482

The Impact of Rate Design and Net Metering on the Bill Savings from  

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

The Impact of Rate Design and Net Metering on the Bill Savings from The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California Title The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California Publication Type Report Refereed Designation Unknown Year of Publication 2010 Authors Darghouth, Naïm, Galen L. Barbose, and Ryan H. Wiser Pagination 62 Date Published 04/2010 Publisher LBNL City Berkeley Keywords electricity markets and policy group, electricity rate design, energy analysis and environmental impacts department, net metering, photovoltaics Abstract Net metering has become a widespread policy in the U.S. for supporting distributed photovoltaics (PV) adoption.1 Though specific design details vary, net metering allows customers with PV to reduce their electric bills by offsetting their consumption with PV generation, independent of the timing of the generation relative to consumption - in effect, compensating the PV generation at retail electricity rates (Rose et al. 2009). Though net metering has played an important role in jump-starting the PV market in the U.S., challenges to net metering policies have emerged in a number of states and contexts, and alternative compensation methods are under consideration. Moreover, one inherent feature of net metering is that the value of the utility bill savings it provides to customers with PV depends heavily on the structure of the underlying retail electricity rate, as well as on the characteristics of the customer and PV system. Consequently, the bill-savings value of net metering - and the impact of moving to alternative compensation mechanisms - can vary substantially from one customer to the next. For these reasons, it is important for policymakers and others that seek to support the development of distributed PV to understand both how the bill savings benefits of PV varies under net metering, and how the bill savings under net metering compares to savings associated with other possible compensation mechanisms. To advance this understanding, we analyze the bill savings from PV for residential customers of California's two largest electric utilities, Pacific Gas and Electric (PG&E) and Southern California Edison (SCE).3 The analysis is based on hourly load data from a sample of 215 residential customers located in the service territories of the two utilities, matched with simulated hourly PV production for the same time period based on data from the nearest of 73 weather stations in the state. We focus on these two utilities, both because we had ready access to a sample of load data for their residential customers, and because their service territories are the largest markets for residential PV in the country.

483

Long-billed curlews on the Yakima Training Center: Information for base realignment  

SciTech Connect

This report summarizes and discusses the results obtained during 1992 from the study of long-billed curlews on the Yakima Training Center (YTC), which Pacific Northwest Laboratory conducted for the US Department of the Army. This study was initiated to provide basic ecological information on YTC long-billed curlews (Numenius americanus). The long-billed curlew is a relatively common spring and summer resident on the YTC. However, other than casual observations, very little is known about the distribution, density, reproductive success, and habitat requirements for this species on the YTC. Until recently the long-billed curlew was a US Fish and Wildlife Service candidate for listing as threatened or endangered; however, on November 21, 1991 it was down-listed to Class IIIc. The Washington Department of Wildlife lists the long-billed curlew as a ``species of special concern.`` Specific objectives of this study were to (1) locate nesting areas, (2) locate brood-rearing areas, (3) evaluate habitat requirements, (4) determine diet, (5) evaluate response to troop activities, (6) evaluate the impact of livestock grazing, (7) estimate the population size, and (8) estimate recruitment rates. Six curlews (four females and two males) were captured and fitted with radio transmitters. These birds were relocated to obtain nesting, habitat use, and feeding information. Road surveys conducted over most of the YTC provided information on the bird`s general distribution, habitat requirements, and nesting and brood-rearing areas.

Hand, K.D.; Cadwell, L.L.; Eberhardt, L.E.

1994-02-01T23:59:59.000Z

484

Energy and Water Development Appropriation Bill, 1987. Introduced in the Senate, Ninety-Ninth Congress, Second Session, September 15, 1986  

SciTech Connect

The Senate Appropriations Committee report on H.R. 5162 includes information pertaining to the bill as well as suggested amendments to the nearly $15.55 billion bill passed by the House. The four titles of the bill cover appropriations for the Army Corps of Engineers, the Departments of Interior and Energy, and independent agencies. Detailed budget items and committee recommendations make up the bulk of the report.

1986-01-01T23:59:59.000Z

485

S. 2375: a bill to disapprove of certain deferrals of Strategic Petroleum Reserve budget authority, to authorize additional appropriations with respect to the Strategic Petroleum Reserve, and to increase oil import fees. Introduced in the Senate of the United States, Ninety-Ninth Congress, Second Session, April 28, 1986  

SciTech Connect

The purpose of this bill is to disapprove of certain deferrals of the Strategic Petroleum Reserve (SPR) budget authority, to authorize additional appropriations to the SPR, and to increase oil import fees. The bill authorizes $1 billion for fiscal years 1987, 88, and 89 for crude oil acquisitions for the SPR and $163 million for storage and related facility construction during 1987. It also instructs the Energy Secretary to cease production from the Naval Petroleum Reserve at Elk Hills for six months to allow the reservoir depletion to stabilize.

1986-01-01T23:59:59.000Z

486

Monthly Energy Review - June 2000  

Gasoline and Diesel Fuel Update (EIA)

June June 27, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(2000/06) Monthly Energy Review

487

Monthly Energy Review - October 1999  

Gasoline and Diesel Fuel Update (EIA)

October October 26, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(99/10) Monthly Energy

488

Monthly Energy Review - August 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : N e w R e a c t o r D e s i g n s Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: August 26, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy

489

Monthly Energy Review - February 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : M a j o r E n e r g y P r o d u c e r s Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: February 28, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

490

Monthly Energy Review - May 2000  

Gasoline and Diesel Fuel Update (EIA)

May May 26, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(2000/05) Monthly Energy Review

491

Monthly Energy Review - April 2001  

Gasoline and Diesel Fuel Update (EIA)

April April 30, 2001 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

492

Monthly Energy Review - January 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : A n n u a l E n e r g y O u t l o o k Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: January 30, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

493

Monthly Energy Review - October 2000  

Gasoline and Diesel Fuel Update (EIA)

October October 25, 2000 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

494

Monthly Energy Review - December 1999  

Gasoline and Diesel Fuel Update (EIA)

December December 22, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(99/12) Monthly Energy

495

Monthly Energy Review - November 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : A n n u a l C o a l R e p o r t 2 0 0 2 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: November 24, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

496

Monthly Energy Review - June 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : U r a n i u m I n d u s t r y A n n u a l 2 0 0 2 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: June 30, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

497

Monthly Energy Review - September 2000  

Gasoline and Diesel Fuel Update (EIA)

September September 26, 2000 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

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Monthly Energy Review - April 200  

Gasoline and Diesel Fuel Update (EIA)

April April 26, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(2000/04) Monthly Energy

499

Monthly Energy Review - November 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g : A n n u a l E n e r g y R e v i e w Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: December 6, 2002 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

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Monthly Energy Review - January 2000  

Gasoline and Diesel Fuel Update (EIA)

January January 28, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(00/01) Monthly Energy