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1

Natural Gas Wellhead Price  

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

Quantity of Production Imputed Wellhead Value Wellhead Price Marketed Production Period: Monthly Annual Quantity of Production Imputed Wellhead Value Wellhead Price Marketed Production Period: 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 U.S. 6.25 7.97 3.67 4.48 3.95 2.66 1922-2012 Alabama 7.44 9.65 4.32 4.46 1967-2010 Alaska 5.63 7.39 2.93 3.17 1967-2010 Arizona 5.98 7.09 3.19 4.11 1967-2010 Arkansas 6.61 8.72 3.43 3.84 1967-2010 California 6.62 8.38 3.96 4.87 1967-2010 Colorado 4.57 6.94 3.21 3.96 1967-2010 Florida NA NA NA NA 1967-2010 Illinois NA NA NA NA 1967-2010 Indiana 5.78 7.58 4.05 4.13 1967-2010

2

Wellhead prices | OpenEI  

Open Energy Info (EERE)

Wellhead prices Wellhead prices Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 133, and contains only the reference case. The data is broken down into Production, lower 48 onshore and lower 48 offshore. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural Gas Wellhead prices Data application/vnd.ms-excel icon AEO2011: Lower 48 Natural Gas Production and Wellhead Prices by Supply Region- Reference Case (xls, 59.1 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

3

Wellhead Price Dollars  

Gasoline and Diesel Fuel Update (EIA)

.00 .00 0.50 1.00 1.50 2.00 2.50 3.00 0 20 40 60 80 100 1966 1976 1986 1996 Wellhead Price Dollars per Thousand Cubic Feet Dollars per Thousand Cubic Meters 0 0.5 1 1.5 2 2.5 3 0 10 20 30 40 50 60 70 80 Trillion Cubic Feet Billion Cubic Meters 1966 1976 1986 1996 Net Imports 0 0.2 0.4 0.6 0.8 0 -0.2 -0.4 -0.6 0 10 20 0 -10 -20 Trillion Cubic Feet Billion Cubic Meters 1966 1976 1986 1996 Net Additions to Storage Millions 0 5 10 15 20 25 0 100 200 300 400 500 600 700 Trillion Cubic Feet Billion Cubic Meters Dry Production 1966 1976 1986 1996 Sources: 1960-1975: Bureau of Mines, Minerals Yearbook, "Natural Gas" chapter. 1976-1978: Energy Information Administration (EIA), Energy Data Reports, Natural Gas Annual. 1979: EIA, Natural Gas Production and Consumption, 1979. 1980-1994: EIA, Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Forms

4

Natural Gas Wellhead Price  

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

Pipeline and Distribution Use Price City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: Monthly Annual Pipeline and Distribution Use Price City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: 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 U.S. 6.25 7.97 3.67 4.48 3.95 2.66 1922-2012 Alabama 7.44 9.65 4.32 4.46 1967-2010 Alaska 5.63 7.39 2.93 3.17 1967-2010 Arizona 5.98 7.09 3.19 4.11 1967-2010 Arkansas

5

Ohio Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Ohio Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.24 0.25 0.26 1970's 0.27 0.34 0.39 0.43 0.48 0.71 1.02 1.40 1.57 1.81 1980's 1.98 2.17 2.71 3.24 3.19 3.08 2.84 2.58 2.55 2.55 1990's 2.54 2.38 2.35 2.46 2.43 2.33 2.63 2.70 2.95 2.43 2000's 4.06 4.54 4.52 5.90 6.65 9.03 7.75 7.59 7.88 4.36 2010's 4.63 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Ohio Natural Gas Prices Natural Gas Wellhead

6

Utah Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Utah Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.16 0.15 1970's 0.15 0.17 0.17 0.19 0.41 0.48 0.50 0.61 0.64 0.72 1980's 1.12 1.10 3.06 3.40 4.08 3.52 2.90 1.88 2.39 1.58 1990's 1.70 1.54 1.63 1.77 1.54 1.15 1.39 1.86 1.73 1.93 2000's 3.28 3.52 1.99 4.11 5.24 7.16 5.49 NA 6.15 3.38 2010's 4.23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Utah Natural Gas Prices Natural Gas Wellhead

7

Texas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Texas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.14 0.14 1970's 0.14 0.16 0.16 0.20 0.31 0.52 0.72 0.90 0.99 1.23 1980's 1.56 1.87 2.17 2.36 2.45 2.33 1.65 1.47 1.51 1.53 1990's 1.57 1.59 1.77 2.09 1.89 1.61 2.29 2.48 2.06 2.31 2000's 3.93 4.12 3.16 5.18 5.83 7.55 6.60 6.98 8.51 3.81 2010's 4.70 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Texas Natural Gas Prices Natural Gas Wellhead

8

Maryland Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Maryland Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.26 0.26 0.25 1970's 0.25 0.24 0.21 0.23 0.24 0.27 0.32 0.39 0.61 1.04 1980's 0.46 0.48 0.78 0.55 0.55 0.59 0.65 0.55 0.93 0.85 1990's 1.14 1.55 1.91 2.44 1.37 1.42 2.23 2.60 2.73 2000's 3.75 4.15 5.98 4.50 6.25 7.43 NA NA NA NA 2010's NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Maryland Natural Gas Prices Natural Gas Wellhead

9

Louisiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Louisiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.19 0.19 1970's 0.19 0.20 0.20 0.22 0.31 0.42 0.46 0.70 0.84 1.11 1980's 1.61 2.07 2.60 2.67 2.73 2.66 2.21 1.78 1.81 1.82 1990's 1.83 1.73 1.73 2.14 2.08 1.58 2.33 2.36 2.02 2.22 2000's 3.68 3.99 3.20 5.64 5.96 8.72 6.93 7.02 8.73 3.82 2010's 4.23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Louisiana Natural Gas Prices

10

Colorado Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Colorado Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.13 0.14 1970's 0.15 0.16 0.16 0.18 0.20 0.26 0.48 0.81 0.84 1.41 1980's 1.47 1.97 3.17 3.38 3.43 2.90 2.05 1.76 1.59 1.52 1990's 1.55 1.41 1.37 1.61 1.39 0.95 1.37 2.23 1.90 2.18 2000's 3.67 3.84 2.41 4.54 5.21 7.43 6.12 4.57 6.94 3.21 2010's 3.96 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Colorado Natural Gas Prices

11

Kansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Kansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.14 0.14 1970's 0.14 0.14 0.14 0.16 0.17 0.17 0.42 0.48 0.57 0.76 1980's 0.77 0.92 1.51 1.57 1.49 1.27 1.21 1.15 1.36 1.44 1990's 1.56 1.37 1.54 1.80 1.60 1.36 1.92 2.05 1.70 1.80 2000's 3.21 3.66 2.61 4.33 4.94 6.51 5.61 5.69 6.85 3.16 2010's 4.23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Kansas Natural Gas Prices

12

Michigan Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Michigan Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.25 0.26 1970's 0.27 0.26 0.31 0.39 0.50 0.63 0.89 1.01 1.20 1.74 1980's 2.35 2.86 3.19 3.58 3.76 3.60 3.60 3.24 3.18 3.16 1990's 3.00 2.79 2.71 2.38 1.96 1.67 2.21 2.19 1.77 1.77 2000's 2.44 3.47 2.16 4.01 3.85 5.30 NA NA 5.63 3.92 2010's 3.79 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Michigan Natural Gas Prices

13

Kentucky Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Kentucky Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.24 0.25 0.25 1970's 0.25 0.25 0.25 0.35 0.50 0.54 0.55 0.55 0.58 0.95 1980's 0.89 1.01 1.52 1.51 1.70 2.39 1.88 1.82 2.56 2.13 1990's 2.24 2.03 1.92 2.28 2.24 1.64 2.55 2.66 2.39 2.07 2000's 3.16 4.78 3.01 4.54 5.26 6.84 8.83 7.35 8.42 NA 2010's 4.47 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Kentucky Natural Gas Prices

14

Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.13 0.13 1970's 0.14 0.15 0.35 0.38 0.74 0.87 0.99 1.47 1.50 2.04 1980's 3.19 4.77 3.44 4.28 3.73 3.71 2.89 2.97 2.65 2.72 1990's 2.75 2.33 2.29 2.46 2.17 1.82 2.62 2.67 2.21 2.32 2000's 3.99 4.23 3.48 5.93 6.66 9.28 7.57 7.44 9.65 4.32 2010's 4.46 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Alabama Natural Gas Prices

15

Wyoming Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Wyoming Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.15 0.15 0.15 1970's 0.15 0.15 0.16 0.18 0.25 0.34 0.41 0.64 0.79 1.13 1980's 1.92 2.77 3.22 3.18 3.32 3.01 2.52 1.76 1.53 1.24 1990's 1.16 1.06 1.13 1.99 2.05 1.78 2.57 2.42 1.78 1.97 2000's 3.34 3.49 2.70 4.13 4.96 6.86 5.85 4.65 6.86 3.40 2010's 4.30 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Wyoming Natural Gas Prices

16

Oklahoma Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Oklahoma Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.14 0.14 0.15 1970's 0.16 0.16 0.16 0.19 0.28 0.32 0.50 0.79 0.90 1.12 1980's 1.51 1.88 2.74 2.83 2.72 2.47 1.71 1.47 1.55 1.59 1990's 1.57 1.47 1.70 1.88 1.70 1.44 2.21 2.32 1.77 2.05 2000's 3.63 4.03 2.94 4.97 5.52 7.21 6.32 6.24 7.56 3.53 2010's 4.71 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Oklahoma Natural Gas Prices

17

Montana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Montana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.08 0.09 0.10 1970's 0.10 0.12 0.12 0.24 0.25 0.43 0.45 0.72 0.85 1.21 1980's 1.45 1.91 2.15 2.41 2.46 2.39 2.05 1.80 1.70 1.55 1990's 1.79 1.66 1.62 1.55 1.46 1.36 1.41 1.59 1.53 1.68 2000's 2.84 3.12 2.39 3.73 4.51 6.57 5.53 5.72 7.50 3.16 2010's 3.64 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Montana Natural Gas Prices

18

Alaska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Alaska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.25 0.25 1970's 0.25 0.24 0.15 0.15 0.17 0.30 0.39 0.40 0.52 0.52 1980's 0.73 0.62 0.63 0.73 0.73 0.74 0.50 0.94 1.27 1.36 1990's 1.38 1.48 1.41 1.42 1.27 1.64 1.61 1.82 1.32 1.37 2000's 1.76 1.99 2.13 2.41 3.42 4.75 5.79 5.63 7.39 2.93 2010's 3.17 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Alaska Natural Gas Prices

19

Indiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Indiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.23 0.24 0.23 1970's 0.24 0.25 0.15 0.14 0.14 0.39 0.52 0.69 0.71 1.05 1980's 1.35 2.08 1.55 2.09 3.38 2.51 1.23 1.71 1.57 1.71 1990's 2.01 1.72 2.01 2.09 1.97 1.90 2.30 2.18 2.09 2.19 2000's 3.51 3.28 3.11 5.41 6.30 9.11 6.01 5.78 7.58 4.05 2010's 4.13 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Indiana Natural Gas Prices

20

Arkansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Arkansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.15 0.16 0.16 1970's 0.16 0.17 0.17 0.18 0.26 0.35 0.53 0.58 0.75 0.96 1980's 0.70 1.81 2.13 2.29 2.54 2.55 2.51 2.29 1.94 2.41 1990's 2.06 1.92 2.15 2.81 2.65 3.02 3.82 4.03 3.92 4.10 2000's 5.23 4.99 4.43 5.17 5.68 7.26 6.43 6.61 8.72 3.43 2010's 3.84 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Arkansas Natural Gas Prices

Note: This page contains sample records for the topic "wellhead price marketed" 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

Mississippi Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Mississippi Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.17 0.17 0.18 1970's 0.18 0.21 0.27 0.23 0.29 0.50 0.71 0.73 1.15 1.60 1980's 2.32 3.21 3.91 3.78 3.47 3.17 2.13 1.94 1.86 1.97 1990's 1.76 1.66 1.64 1.73 1.49 1.24 1.66 1.73 1.42 1.63 2000's 3.30 3.93 3.06 5.13 5.83 8.54 6.84 6.70 8.80 3.73 2010's 4.17 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Mississippi Natural Gas Prices

22

Table 7b. Natural Gas Wellhead Prices, Projected vs. Actual  

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

b. Natural Gas Wellhead Prices, Projected vs. Actual" b. Natural Gas Wellhead Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per thousand cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1.983258692,2.124739238,2.26534793,2.409252566,2.585728477,2.727400662,2.854942053,2.980927152,3.13861755,3.345819536,3.591100993,3.849544702,4.184279801,4.510016556,4.915074503,5.29147351,5.56022351,5.960471854 "AEO 1995",,1.891706924,1.998384058,1.952818035,2.064227053,2.152302174,2.400016103,2.569033816,2.897681159,3.160088567,3.556344605,3.869033816,4.267391304,4.561932367,4.848599034,5.157246377,5.413405797,5.660917874 "AEO 1996",,,1.630674532,1.740334763,1.862956911,1.9915856,2.10351261,2.194934146,2.287655669,2.378991658,2.476043002,2.589847464,2.717610782,2.836870306,2.967124845,3.117719429,3.294003735,3.485657428,3.728419409

23

Imputed Wellhead Value of Natural Gas Marketed Production  

Gasoline and Diesel Fuel Update (EIA)

Thousand Dollars) Thousand Dollars) Data Series: Quantity of Production Imputed Wellhead Value Wellhead Price Marketed Production Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2006 2007 2008 2009 2010 2011 View History U.S. 124,074,399 1989-2006 Alabama 2,167,627 2,010,736 2,489,704 1,020,599 994,688 0 1989-2011 Alaska 2,576,028 2,439,193 2,944,546 1,163,554 1,185,249 0 1989-2011 Arizona 3,484 3,913 3,710 2,269 753 0 1989-2011 Arkansas 1,739,324 1,782,837 3,891,921 2,330,692 3,556,609 0 1989-2011 California 2,038,915 2,033,054 2,483,126 1,095,181 1,396,916 0 1989-2011 Colorado 7,361,709 5,680,388 9,642,428 4,812,014 6,250,380 0 1989-2011

24

Residential Prices Do Not Reflect the Volatility Seen in Wellhead Prices  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: A key concern about the level of current wellhead prices is the impact on consumers, especially residential and small-volume commercial customers Using monthly average prices for residential customers and daily Henry Hub spot prices for the past 4 winters: significant price fluctuations are apparent at the Henry Hub, but residential prices respond relatively less. The major reasons for the lesser response in residential prices are: Gas supplies to residential customers generally are arranged prior to delivery, and agreed price terms, while flexible, generally do not fully reflect contemporaneous wellhead price shifts Gas commodity charges are a fraction of the delivery price for small customers-averaging about 33 percent during the heating season. Costs of

25

Table 7a. Natural Gas Wellhead Prices, Projected vs. Actual  

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

a. Natural Gas Wellhead Prices, Projected vs. Actual" a. Natural Gas Wellhead Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars per thousand cubic feet in ""dollar year"" specific to each AEO)" ,"AEO Dollar Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1992,1.9399,2.029,2.1099,2.1899,2.29,2.35,2.39,2.42,2.47,2.55,2.65,2.75,2.89,3.01,3.17,3.3,3.35,3.47 "AEO 1995",1993,,1.85,1.899,1.81,1.87,1.8999,2.06,2.14,2.34,2.47,2.69,2.83,3.02,3.12,3.21,3.3,3.35,3.39 "AEO 1996",1994,,,1.597672343,1.665446997,1.74129355,1.815978527,1.866241336,1.892736554,1.913619637,1.928664207,1.943216205,1.964540124,1.988652706,2.003382921,2.024799585,2.056392431,2.099974155,2.14731431,2.218094587

26

Table 7a. Natural Gas Wellhead Prices, Projected vs. Actual  

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

a. Natural Gas Wellhead Prices, Projected vs. Actual a. Natural Gas Wellhead Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per thousand cubic feet in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1992 1.94 2.03 2.11 2.19 2.29 2.35 2.39 2.42 2.47 2.55 2.65 2.75 2.89 3.01 3.17 3.30 3.35 3.47 AEO 1995 1993 1.85 1.90 1.81 1.87 1.90 2.06 2.14 2.34 2.47 2.69 2.83 3.02 3.12 3.21 3.30 3.35 3.39 AEO 1996 1994 1.60 1.67 1.74 1.82 1.87 1.89 1.91 1.93 1.94 1.96 1.99 2.00 2.02 2.06 2.10 2.15 2.22

27

,"Texas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_stx_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_stx_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

28

,"Oregon Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sor_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sor_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

29

,"Michigan Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_smi_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_smi_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

30

,"Arkansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sar_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sar_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

31

,"Nebraska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sne_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sne_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

32

,"Utah Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sut_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sut_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

33

,"Kentucky Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sky_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sky_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

34

,"Colorado Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sco_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sco_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

35

,"Missouri Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",1997 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_smo_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_smo_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

36

,"Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sal_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sal_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

37

,"Maryland Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_smd_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_smd_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

38

,"Oklahoma Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sok_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sok_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

39

,"Indiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sin_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sin_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

40

,"Illinois Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sil_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sil_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

Note: This page contains sample records for the topic "wellhead price marketed" 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

,"Pennsylvania Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_spa_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_spa_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

42

,"Arizona Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_saz_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_saz_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

43

,"Florida Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sfl_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sfl_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

44

,"South Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_ssd_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_ssd_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

45

,"Mississippi Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sms_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sms_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

46

,"Louisiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sla_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sla_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

47

,"Alaska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sak_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sak_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

48

,"Ohio Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_soh_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_soh_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

49

,"California Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sca_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sca_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

50

,"Wyoming Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_swy_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_swy_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

51

,"Kansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sks_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sks_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

52

,"Montana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_smt_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_smt_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

53

,"Tennessee Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_stn_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_stn_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

54

Table 7b. Natural Gas Wellhead Prices, Projected vs. Actual  

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

b. Natural Gas Wellhead Prices, Projected vs. Actual b. Natural Gas Wellhead Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per thousand cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1.98 2.12 2.27 2.41 2.59 2.73 2.85 2.98 3.14 3.35 3.59 3.85 4.18 4.51 4.92 5.29 5.56 5.96 AEO 1995 1.89 2.00 1.95 2.06 2.15 2.40 2.57 2.90 3.16 3.56 3.87 4.27 4.56 4.85 5.16 5.41 5.66 AEO 1996 1.63 1.74 1.86 1.99 2.10 2.19 2.29 2.38 2.48 2.59 2.72 2.84 2.97 3.12 3.29 3.49 3.73 AEO 1997 2.03 1.82 1.90 1.99 2.06 2.13 2.21 2.32 2.43 2.54 2.65 2.77 2.88 3.00 3.11 3.24 AEO 1998 2.30 2.20 2.26 2.31 2.38 2.44 2.52 2.60 2.69 2.79 2.93 3.06 3.20 3.35 3.48 AEO 1999 1.98 2.15 2.20 2.32 2.43 2.53 2.63 2.76 2.90 3.02 3.12 3.23 3.35 3.47

55

AEO2011: Lower 48 Natural Gas Production and Wellhead Prices by Supply  

Open Energy Info (EERE)

Natural Gas Production and Wellhead Prices by Supply Natural Gas Production and Wellhead Prices by Supply Region Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 133, and contains only the reference case. The data is broken down into Production, lower 48 onshore and lower 48 offshore. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural Gas Wellhead prices Data application/vnd.ms-excel icon AEO2011: Lower 48 Natural Gas Production and Wellhead Prices by Supply Region- Reference Case (xls, 59.1 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License

56

Table 8. Natural Gas Wellhead Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Wellhead Prices, Projected vs. Actual Natural Gas Wellhead Prices, Projected vs. Actual (current dollars per thousand cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 4.32 5.47 6.67 7.51 8.04 8.57 AEO 1983 2.93 3.11 3.46 3.93 4.56 5.26 12.74 AEO 1984 2.77 2.90 3.21 3.63 4.13 4.79 9.33 AEO 1985 2.60 2.61 2.66 2.71 2.94 3.35 3.85 4.46 5.10 5.83 6.67 AEO 1986 1.73 1.96 2.29 2.54 2.81 3.15 3.73 4.34 5.06 5.90 6.79 7.70 8.62 9.68 10.80 AEO 1987 1.83 1.95 2.11 2.28 2.49 2.72 3.08 3.51 4.07 7.54 AEO 1989* 1.62 1.70 1.91 2.13 2.58 3.04 3.48 3.93 4.76 5.23 5.80 6.43 6.98 AEO 1990 1.78 1.88 2.93 5.36 9.2 AEO 1991 1.77 1.90 2.11 2.30 2.42 2.51 2.60 2.74 2.91 3.29 3.75 4.31 5.07 5.77 6.45 7.29 8.09 8.94 9.62 10.27 AEO 1992 1.69 1.85 2.03 2.15 2.35 2.51 2.74 3.01 3.40 3.81 4.24 4.74 5.25 5.78 6.37 6.89 7.50 8.15 9.05 AEO 1993 1.85 1.94 2.09 2.30

57

AEO2011: Lower 48 Crude Oil Production and Wellhead Prices by Supply Region  

Open Energy Info (EERE)

Crude Oil Production and Wellhead Prices by Supply Region Crude Oil Production and Wellhead Prices by Supply Region Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 132, and contains only the reference case. The data is broken down into Production, lower 48 onshore and lower 48 offshore. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO crude oil EIA prices Data application/vnd.ms-excel icon AEO2011: Lower 48 Crude Oil Production and Wellhead Prices by Supply Region- Reference Case (xls, 54.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

58

New York Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) New York Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.31 0.30 0.30 1970's 0.30 0.30 0.33 0.35 0.55 0.74 1.13 1.16 1.19 1.27 1980's 1.95 2.67 3.75 3.85 4.00 3.37 3.39 2.00 2.30 2.20 1990's 2.20 2.15 2.25 2.40 2.35 2.30 2.56 2.56 2.16 2000's 3.75 5.00 3.03 5.78 6.98 7.78 7.13 8.85 8.94 4.21 2010's 4.65 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price New York Natural Gas Prices

59

New Mexico Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) New Mexico Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.13 0.14 1970's 0.14 0.15 0.19 0.24 0.31 0.40 0.56 0.81 0.99 1.37 1980's 1.76 2.13 2.47 2.68 2.71 2.62 1.87 1.66 1.70 1.56 1990's 1.69 1.37 1.60 1.79 1.58 1.26 1.67 1.76 1.76 2.11 2000's 3.43 3.89 2.68 4.56 4.97 6.91 6.18 6.88 8.40 4.17 2010's 5.32 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price New Mexico Natural Gas Prices

60

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter , with permission of the publisher under its copyright. ...

1941-11-10T23:59:59.000Z

Note: This page contains sample records for the topic "wellhead price marketed" 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

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weakly current price listings in the Oil, Paint and Drug Reporter, with permission of the publisher under its copyright. ...

1941-01-10T23:59:59.000Z

62

Chemical Market Prices  

Science Journals Connector (OSTI)

Chemical Market Prices ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter with permission of the publisher under its copyright. ...

1945-01-10T23:59:59.000Z

63

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter, with permission of the publisher under its copyright. ...

1941-10-10T23:59:59.000Z

64

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter , with permission of the publisher under its copyright. ...

1941-02-10T23:59:59.000Z

65

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter , with permission of the publisher under its copyright. ...

1941-03-10T23:59:59.000Z

66

U.S. Natural Gas Wellhead Value and Marketed Production  

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

Area: U.S. Federal Offshore Gulf of Mexico Alabama Alaska Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Louisiana Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New Mexico New York North Dakota Ohio Oklahoma Oregon Pennsylvania South Dakota Tennessee Texas Utah Virginia West Virginia Wyoming Period: 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 Quantity of Production Associated with Reported Wellhead Value (Million Cubic Ft.)

67

Price discovery in energy markets  

Science Journals Connector (OSTI)

Abstract In this study, we empirically analyze the price discovery process in the futures and spot markets for crude oil, heating oil and natural gas using daily closing prices. We use two different information share measures that are based on the methods proposed by Gonzalo and Granger (1995) and Lien and Shrestha (2014). Both measures indicate that almost all the price discovery takes place in the futures markets for the heating oil and natural gas. However, for the crude oil, the price discovery takes place both in the futures and spot markets. As a whole, our study indicates that futures markets play an important role in the price discovery process.

Keshab Shrestha

2014-01-01T23:59:59.000Z

68

Electricity market clearing price forecasting under a deregulated electricity market.  

E-Print Network (OSTI)

??Under deregulated electric market, electricity price is no longer set by the monopoly utility company rather it responds to the market and operating conditions. Offering… (more)

Yan, Xing

2010-01-01T23:59:59.000Z

69

Wellhead bunker  

SciTech Connect

In the production and delivery of oil and/or gas from a well, a wellhead is completely enclosed within a bunker equipped with a sump line and ladders. A top cover encloses the upper end of the bunker and is supported on structure. Vents are included as a part of the top cover to provide ventilation through the bunker.

Boley, J.W.

1982-06-22T23:59:59.000Z

70

Edgeworth price cycles in retail gasoline markets  

E-Print Network (OSTI)

In this dissertation, I present three essays that are motivated by the interesting and dynamic price-setting behavior of firms in Canadian retail gasoline markets. In the first essay, I examine behavior at the market level ...

Noel, Michael David, 1971-

2002-01-01T23:59:59.000Z

71

International black tea market integration and price discovery  

E-Print Network (OSTI)

(2000) considered price relationships among three milk markets in Kyrgyzstan. They used cointegration analysis to see if milk market prices of two private sector and one government sector markets are integrated. They concluded that two private sector...

Dharmasena, Kalu Arachchillage Senarath Dhananjaya Bandara

2004-09-30T23:59:59.000Z

72

A uniform price auction with locational price adjustments for competitive electricity markets  

E-Print Network (OSTI)

; Competitive electricity markets; Poolco Alternatively, the Market Coordinator could ask the private generatingA uniform price auction with locational price adjustments for competitive electricity markets b School of Electrical Engineering, Phillips Hall, Cornell University, Ithaca, NY 14853, USA c

73

Utility Marketing Strategies & Pricing Trends  

E-Print Network (OSTI)

Marketing seems to have come out of the utility closet once again, but it is a far sight different from that of the 1970s. While some are still on a “sell, Sell, SELL!” campaign, most are soberly looking at their customers from a different...

Gilbert, J. S.

74

Wheat and corn prices and energy markets: spillover effects  

Science Journals Connector (OSTI)

This paper investigates volatility spillover across crude oil market and wheat and corn markets. The corn commodity is taken here to assess the impact of change in demand for biofuel on wheat market. Results of multivariate GARCH model show evidence of corn price volatility transmission to wheat market. Our results indicate that while shocks (unexpected news) in crude oil market have significant impact on volatility in wheat and corn markets, the effect of crude oil price changes on wheat and corn prices is insignificant. The impulse response analysis also indicates shocks in oil markets have permanent effect on wheat and corn price changes. This reveals the influence of future crude oil markets on global food price volatility. Also indicated that fertilisers markets influenced by own-shocks and shocks in oil markets. Thus, shocks in crude oil markets have direct and indirect effects (via fertilisers markets) on food commodity markets.

Ibrahim A. Onour; Bruno S. Sergi

2012-01-01T23:59:59.000Z

75

Index Revision, House Price Risk, and the Market for House Price Derivatives  

E-Print Network (OSTI)

bias in repeat-sales home price indices. Freddie Mac workingpaper #05–03. Index Revision, House Price Risk, and theMarket for House Price Derivatives Calhoun, C. A. (1996).

Deng, Yongheng; Quigley, John M.

2008-01-01T23:59:59.000Z

76

Carbon pricing, nuclear power and electricity markets  

SciTech Connect

In 2010, the NEA in conjunction with the International Energy Agency produced an analysis of the Projected Costs of Electricity for almost 200 power plants, covering nuclear, fossil fuel and renewable electricity generation. That analysis used lifetime costs to consider the merits of each technology. However, the lifetime cost analysis is less applicable in liberalised markets and does not look specifically at the viewpoint of the private investor. A follow-up NEA assessment of the competitiveness of nuclear energy against coal- and gas-fired generation under carbon pricing has considered just this question. The economic competition in electricity markets is today between nuclear energy and gas-fired power generation, with coal-fired power generation not being competitive as soon as even modest carbon pricing is introduced. Whether nuclear energy or natural gas comes out ahead in their competition depends on a number of assumptions, which, while all entirely reasonable, yield very different outcomes. The analysis in this study has been developed on the basis of daily data from European power markets over the last five-year period. Three different methodologies, a Profit Analysis looking at historic returns over the past five years, an Investment Analysis projecting the conditions of the past five years over the lifetime of plants and a Carbon Tax Analysis (differentiating the Investment Analysis for different carbon prices) look at the issue of competitiveness from different angles. They show that the competitiveness of nuclear energy depends on a number of variables which in different configurations determine whether electricity produced from nuclear power or from CCGTs generates higher profits for its investors. These are overnight costs, financing costs, gas prices, carbon prices, profit margins (or mark-ups), the amount of coal with carbon capture and electricity prices. This paper will present the outcomes of the analysis in the context of a liberalised electricity market, looking at the impact of the seven key variables and provide conclusions on the portfolio that a utility would be advised to maintain, given the need to limit risks but also to move to low carbon power generation. Such portfolio diversification would not only limit financial investor risk, but also a number of non-financial risks (climate change, security of supply, accidents). (authors)

Cameron, R.; Keppler, J. H. [OECD Nuclear Energy Agency, 12, boulevard des Iles, 92130 Issy-les-Moulineaux (France)

2012-07-01T23:59:59.000Z

77

Price analysis in electronic marketing of Texas feeder cattle  

E-Print Network (OSTI)

on the impact of. electronic marketing on price in- dicate an average premium of $3. 25 per hundredweight for com- puterized marketing. CA~ may be an efficient marketing system as it appears to increase the level of prices, as well as facilitate spatial... of Cattle Feedlots by Size Group, Texas 1968-79. Page 2. Egg Price Behavior 3. Hog Price Behavior 26 27 4. A Test of Conformity of Variance of Daily Average Price During a Year. 28 5. Transportation Costs 6. CA~ Statistics 7. Auction Market...

Mahoney, Kathleen Ann

2012-06-07T23:59:59.000Z

78

Prices in Wholesale Electricity Markets and Demand Response.  

E-Print Network (OSTI)

??Price determination for a wholesale electricity market has been a long-standing issue in energy systems modeling. From an economic perspective, the complication arises from determining… (more)

Aketi, Venkata Sesha Praneeth

2014-01-01T23:59:59.000Z

79

Price and volatility relationships in the Australian electricity market.  

E-Print Network (OSTI)

??This thesis presents a collection of papers that has been published, accepted or submitted for publication. They assess price, volatility and market relationships in the… (more)

Higgs, Helen

2006-01-01T23:59:59.000Z

80

Price Responsive Demand in New York Wholesale Electricity Market using  

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

Price Responsive Demand in New York Wholesale Electricity Market using Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Title Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Publication Type Report LBNL Report Number LBNL-5557E Year of Publication 2012 Authors Kim, Joyce Jihyun, and Sila Kiliccote Date Published 06/2012 Publisher LBNL/NYSERDA Keywords commercial, demand response, dynamic pricing, mandatory hourly pricing, open automated demand response, openadr, pilot studies & implementation, price responsive demand Abstract In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

Note: This page contains sample records for the topic "wellhead price marketed" 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

An Empirical Study of Pricing Strategies in an Online Market with High Frequency Price Information  

E-Print Network (OSTI)

We study competition among a score of firms participating in an online market for a commodity-type memory module. Firms were able to adjust prices continuously; prices determined how the firms were ranked and listed (lowest ...

Ellison, Sara Fisher

2011-07-12T23:59:59.000Z

82

Gasoline Prices Also Influenced by Regional Gasoline Product Markets  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: Next we examine the wholesale market's added contribution to gasoline price variation and analyze the factors that impact the gasoline balance. There are two points to take away from this chart: The U.S. market moves with the world market, as can be seen with the high inventories in 1998, being drawn down to low levels during 1999. Crude and product markets are not independent. Crude oil and product markets move together fairly closely, with some lead/lag effects during transitions. The relationship between international crude oil markets and domestic product markets raises another issue. A subtle, but very important point, lost in recent discussions of gasoline price increases: The statement has been made that crude markets are not a factor in this past spring's high gasoline prices, since crude prices were

83

Price-Responsive Load Among Mass-Market Customers  

Science Journals Connector (OSTI)

Mass-market customers are able to respond real-time pricing and other innovative rates. In fact, the technology available to mass-market customers and suppliers make these customers a unique component of a bal...

Daniel M. Violette

2002-01-01T23:59:59.000Z

84

ANALYSIS OF FUTURE PRICES AND MARKETS FOR HIGH TEMPERATURE SUPERCONDUCTORS  

E-Print Network (OSTI)

1 ANALYSIS OF FUTURE PRICES AND MARKETS FOR HIGH TEMPERATURE SUPERCONDUCTORS BY JOSEPH MULHOLLAND of Future Prices and Markets for High Temperature Superconductors 2 I . PURPOSE, SCOPE AND APPROACH analysts to make estimates about the future of high temperature superconductor (HTS) technology

85

Pricing and Firm Conduct in California's Deregulated Electricity Market  

E-Print Network (OSTI)

sector to competitive forces by restructuring the method of procuring electricity. Private electricPWP-080 Pricing and Firm Conduct in California's Deregulated Electricity Market Steven L. Puller.ucei.berkeley.edu/ucei #12;Pricing and Firm Conduct in California's Deregulated Electricity Market Steven L. Puller August

California at Berkeley. University of

86

Wild oil prices, but brave stock markets! The case of GCC stock markets  

Science Journals Connector (OSTI)

Using a vector autoregression (VAR) analysis, this paper investigates the effect of the sharp increase in oil prices on stock market returns for five Gulf ... to 24 May, 2005. During this period oil price has bee...

Bashar Abu Zarour

87

Understanding Price Volatility in Electricity Markets  

Science Journals Connector (OSTI)

This paper illustrates notions of volatility associated with power systems spot prices for electricity. The paper demonstrates a frequency-domain method useful to separate out periodic price variations from random variations. It then uses actual observed ... Keywords: electricity spot pricing, risk management

Fernando L. Alvarado; Rajesh Rajaraman

2000-01-01T23:59:59.000Z

88

Energy and Financial Markets Overview: Crude Oil Price Formation  

Gasoline and Diesel Fuel Update (EIA)

Richard Newell, Administrator Richard Newell, Administrator May 5, 2011 Energy and Financial Markets Overview: Crude Oil Price Formation EIA's Energy and Financial Markets Initiative 2 Richard Newell, May 5, 2011 * Collection of critical energy information to improve market transparency - improved petroleum storage capacity data - other improvements to data quality and coverage * Analysis of energy and financial market dynamics to improve understanding of what drives energy prices - internal analysis and sponsorship of external research * Outreach with other Federal agencies, experts, and the public - expert workshops - public sessions at EIA's energy conferences - solicitation of public comment on EIA's data collections

89

Prediction of prices for oil products in the internal market  

Science Journals Connector (OSTI)

The paper considers the Russian market of oil products and provides a model of this ... of which suggests approaches to forecasting the internal prices of oil producers within one scenario of economic development...

Yu. A. Bakman

2014-01-01T23:59:59.000Z

90

Pricing Energy in a Multi-Utility Market  

Science Journals Connector (OSTI)

We present a solution to the problem of tariff design for an energy supplier (utility). The tariffs for electricity ... prices for trading electricity on a day-ahead market like the European Energy Exchange (EEX)...

Markus Franke; Andreas Kamper; Anke Eßer

2007-01-01T23:59:59.000Z

91

South Dakota Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) South Dakota Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,846 1,947 2,558 2,231 3,431 3,920 4,369 1990's 881 93 1,006 854 1,000 848 0 687 772 702 2000's 648 563 531 550 531 446 455 422 1,099 NA 2010's NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead Value South Dakota Natural Gas Wellhead Value and Marketed Production

92

Indiana Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Indiana Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 135 394 367 365 217 412 416 1990's 399 232 174 192 107 249 360 526 615 855 2000's 899 1,064 1,309 1,464 3,401 3,135 2,921 3,606 4,701 4,927 2010's 6,802 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead Value Indiana Natural Gas Wellhead Value and Marketed Production

93

Causes, Magnitude and Consequences of Price Variability in Agricultural Commodity Market: An African Perspective  

E-Print Network (OSTI)

­ unbridled population growth, oil price fluctuations, importation policies, water availability and political market, hunger, undernourishment in Africa, food productivity, population growth, oil price, importation1 Causes, Magnitude and Consequences of Price Variability in Agricultural Commodity Market

94

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

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

& Financial Markets - U.S. Energy Information Administration (EIA) & Financial Markets - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels

95

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

contractual, energy and market-related characteristics. Alocal-level wholesale energy market price dynamics and localof the relationship between energy factor markets, leasing

Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

2010-01-01T23:59:59.000Z

96

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

contractual, energy and market-related characteristics. Alocal-level wholesale energy market price dynamics and localfunction of local energy-market and weather characteristics

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

97

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

contractual, energy and market-related characteristics. Afunction of local energy-market and weather characteristicslocal-level wholesale energy market price dynamics and local

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

98

Beyond Market Prices: Improving Productivity and Profitability of Small Farmers  

E-Print Network (OSTI)

Beyond Market Prices: Improving Productivity and Profitability of Small Farmers Tapan S. Parikh of the poorest countries (WDR 2008) · Doing so more efficiently can reduce natural resource consumption - Quality Control, Certification and Marketing for Cooperatives · Avaaj Otalo - Farmer to Farmer Knowledge

Parikh, Tapan S.

99

Price relationships and market integration in the Swedish wood fuel market  

Science Journals Connector (OSTI)

Cointegration analysis is applied to the prices of three different wood fuel assortments in the Swedish market: refined wood fuels, forest chips and industrial by-products. For the latter two, the price series are separated according to two consumer categories: district heating (DH) plants and industrial consumers. Two types of analyses are performed. The first concerns whether the fuels within each consumer group can be bundled together as belonging to the same market in terms of product homogeneity. The second involves analysis of the prices of homogeneous fuels in the two consumer categories. It is found that in the DH sector, refined wood fuels should be observed as a separate market because their prices do not share a common trend with the prices of any of the other fuels. This lack of a common trend is likely due to the highly internationalized nature of the wood pellet market. The DH prices of forest chips and industrial by-products follow a common trend, as do the prices paid for industrial by-products by DH plants and industrial consumers. The prices of forest chips paid by industrial consumers and DH plants do not share a common trend. The prices paid by industrial consumers for industrial by-products and forest chips also do not share a common trend. These results highlight both the differences between the markets for unrefined and refined wood fuels and the presence of inefficiencies in the Swedish wood fuel market.

Olle Olsson; Bengt Hillring

2013-01-01T23:59:59.000Z

100

Oil price and financial markets: Multivariate dynamic frequency analysis  

Science Journals Connector (OSTI)

Abstract The aim of this paper is to study the degree of interdependence between oil price and stock market index into two groups of countries: oil-importers and oil-exporters. To this end, we propose a new empirical methodology allowing a time-varying dynamic correlation measure between the stock market index and the oil price series. We use the frequency approach proposed by Priestley and Tong (1973), that is the evolutionary co-spectral analysis. This method allows us to distinguish between short-run and medium-run dependence. In order to complete our study by analysing long-run dependence, we use the cointegration procedure developed by Engle and Granger (1987). We find that interdependence between the oil price and the stock market is stronger in exporters? markets than in the importers? ones.

Anna Creti; Zied Ftiti; Khaled Guesmi

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wellhead price marketed" 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

EIA - Natural Gas Price Data & Analysis  

Gasoline and Diesel Fuel Update (EIA)

Prices Prices Prices U.S. and State prices for wellhead, imports, exports, citygate, and end-use sectors. Percentages of total volume delivered by sector. (monthly, annual). Residential and Commercial Prices by Local Distributors and Marketers Average price of natural gas delivered to residential and commercial consumers by local distribution companies and marketers, and the percent sold by local distribution companies in selected states and DC (annual). Spot and Futures Prices Henry Hub natural gas spot price and New York Mercantile Exchange futures contract prices for natural gas based on delivery at the Henry Hub in Louisiana (daily, weekly, monthly, annual). Natural Gas Weekly Update Analysis of current price, supply, and storage data; and a weather snapshot.

102

Price dynamics of crude oil and the regional ethylene markets  

Science Journals Connector (OSTI)

This paper is the first attempt to investigate: (i) is the crude oil (WTI) price significantly related to the regional ethylene prices in the Naphtha intensive ethylene markets of the Far East, North West Europe, and the Mediterranean? (ii) What drives the regional ethylene prices? The paper is motivated by the recent and growing debate on the lead-lag relationship between crude oil and ethylene prices. Our findings, based on the long-run structural modelling approach of Pesaran and Shin, and subject to the limitations of the study, tend to suggest: (i) crude oil (WTI) price is cointegrated with the regional ethylene prices (ii) our within-sample error-correction model results tend to indicate that although the ethylene prices in North West Europe and the Mediterranean were weakly endogenous, the Far East ethylene price was weakly exogenous both in the short and long term. These results are consistent, during most of the period under review (2000.1–2006.4) with the surge in demand for ethylene throughout the Far East, particularly in China and South Korea. However, during the post-sample forecast period as evidenced in our variance decompositions analysis, the emergence of WTI as a leading player as well, is consistent with the recent surge in WTI price (fuelled mainly, among others, by the strong hedging activities in the WTI futures/options and refining tightness) reflecting the growing importance of input cost in determining the dynamic interactions of input and product prices.

Mansur Masih; Ibrahim Algahtani; Lurion De Mello

2010-01-01T23:59:59.000Z

103

Green Pricing Program Marketing Expenditures: Finding the Right Balance  

SciTech Connect

In practice, it is difficult to determine the optimal amount to spend on marketing and administering a green pricing program. Budgets for marketing and administration of green pricing programs are a function of several factors: the region of the country; the size of the utility service area; the customer base and media markets encompassed within that service area; the point or stage in the lifespan of the program; and certainly, not least, the utility's commitment to and goals for the program. All of these factors vary significantly among programs. This report presents data on programs that have funded both marketing and program administration. The National Renewable Energy Laboratory (NREL) gathers the data annually from utility green pricing program managers. Programs reporting data to NREL spent a median of 18.8% of program revenues on marketing their programs in 2008 and 16.6% in 2007. The smallest utilities (those with less than 25,000 in their eligible customer base) spent 49% of revenues on marketing, significantly more than the overall median. This report addresses the role of renewable energy credit (REC) marketers and start-up costs--and the role of marketing, generally, in achieving program objectives, including expansion of renewable energy.

Friedman, B.; Miller, M.

2009-09-01T23:59:59.000Z

104

A k-factor GIGARCH process: Estimation and Application on electricity market spot prices.  

E-Print Network (OSTI)

A k-factor GIGARCH process: Estimation and Application on electricity market spot prices. Abdou Kâ time series of market data, such as electricity spot price, exhibit long-memory, in the sense of slowly this approach to electricity prices (spot prices) from the German energy market (European Energy e

Paris-Sud XI, Université de

105

PJM's Capacity Market in a Price-Spike World Steven Stoft  

E-Print Network (OSTI)

PWP-077 PJM's Capacity Market in a Price-Spike World Steven Stoft May, 2000 This paper is part, California 94720-5180 www.ucei.org #12;PJM's Capacity Market in a Price-Spike World Steven Stoft 1 May 7, 2000 Abstract PJM's market was designed to rely on a capacity market instead of price-spikes to induce

California at Berkeley. University of

106

Market Maker Inventories and Stock Prices Terrence Hendershott  

E-Print Network (OSTI)

complement past returns when predicting return reversals. A portfolio long high-inventory/low-return stocks and short low-inventory/high-return stocks yields 1.05% over the following 5 days. Order imbalancesMarket Maker Inventories and Stock Prices Terrence Hendershott U.C. Berkeley Mark S. Seasholes U

Kearns, Michael

107

Existence Advertising, Price Competition, and Asymmetric Market Structure  

E-Print Network (OSTI)

Existence Advertising, Price Competition, and Asymmetric Market Structure B. Curtis Eaton Ian Mac static properties. We then examine the two stage game in which firms advertise their existence in stage 1 to the two stage game is asymmetric, and far from the Bertrand equilibrium. Keywords: Existence advertising

Hickman, Mark

108

Analysis on various pricing scenarios in a deregulated electricity market  

E-Print Network (OSTI)

II TEXAS MARKET CONDITIONS.......................................................................25 A. Natural Gas..............................................................................25 III ELECTRICITY PRICING STRUCTURE... ....................................46 A. Texas A&M University at Corpus Christi...............................47 B. Texas A&M University at Galveston......................................55 C. Texas A&M University at Kingsville .....................................61 D. Texas A...

Afanador Delgado, Catalina

2006-10-30T23:59:59.000Z

109

Crude oil prices: Are our oil markets too tight?  

SciTech Connect

The answer to the question posed in the title is that tightness in the market will surely prevail through 1997. And as discussed herein, with worldwide demand expected to continue to grow, there will be a strong call on extra oil supply. Meeting those demands, however, will not be straightforward--as many observers wrongly believe--considering the industry`s practice of maintaining crude stocks at ``Just in time`` inventory levels. Further, impact will be felt from the growing rig shortage, particularly for deepwater units, and down-stream capacity limits. While these factors indicate 1997 should be another good year for the service industry, it is difficult to get any kind of consensus view from the oil price market. With most observers` information dominated by the rarely optimistic futures price of crude, as reflected by the NYMEX, the important fact is that oil prices have remained stable for three years and increased steadily through 1996.

Simmons, M.R. [Simmons and Co. International, Houston, TX (United States)

1997-02-01T23:59:59.000Z

110

Econometric analysis of Australian emissions markets and electricity prices  

Science Journals Connector (OSTI)

Abstract Emissions trading schemes aim to reduce the emissions in certain pollutants using a market based scheme where participants can buy and sell permits for these emissions. This paper analyses the efficiency of the two largest schemes in Australia, the NSW Greenhouse Gas Abatement Scheme and the Mandatory Renewable Energy Trading Scheme, through their effect on the electricity prices from 2004 to 2010. We use a long run structural modelling technique for the first time on this market. It provides a practical long-run approach to structural relationships which enable the determination of the effectiveness of the theoretical expectations of these schemes. The generalised forecast error variance decomposition analysis finds that both schemes? emissions prices have little effect on electricity prices. Generalised impulse response function analysis support this finding indicating that when shocks are applied to electricity by the two schemes it returns to equilibrium very quickly. This indicates that these schemes are not having the effect anticipated in their legislation.

Deborah Cotton; Lurion De Mello

2014-01-01T23:59:59.000Z

111

Data driven medium term electricity price forecasting in ontario electricity market and Nord Pool.  

E-Print Network (OSTI)

??Having accurate predictions on market price variations in the future is of great importance to participants in today’s electricity market. Many studies have been done… (more)

Torbaghan, Shahab Shariat

2010-01-01T23:59:59.000Z

112

Price Forecasting and Optimal Operation of Wholesale Customers in a Competitive Electricity Market.  

E-Print Network (OSTI)

??This thesis addresses two main issues: first, forecasting short-term electricity market prices; and second, the application of short-term electricity market price forecasts to operation planning… (more)

Zareipour, Hamidreza

2006-01-01T23:59:59.000Z

113

An empirical analysis of the price discovery function of Shanghai fuel oil futures market  

Science Journals Connector (OSTI)

This paper analyzes the role of price discovery of Shanghai fuel oil futures market by using methods, such ... there exists a strong relationship between the spot price of Huangpu fuel oil spot market and the fut...

Zhen Wang; Zhenhai Liu; Chao Chen

2007-08-01T23:59:59.000Z

114

Price and transaction volume in the Dutch housing market  

Science Journals Connector (OSTI)

Housing markets typically exhibit a strong positive correlation between the rate of price increase and the number of houses sold. We document this correlation on high-quality Dutch data for the period 1985–2007, and estimate a VEC-model that allows us to study the mechanism giving rise to the correlation. The data identify the flows of new houses offered for sale as well as the number of houses sold. According to the estimated model, shocks to market fundamentals (the mortgage rate) have an immediate and significant impact on the rate of sale, little impact on the rate of entry of new houses for sale, and a gradual impact on the house prices. This pattern is consistent with an economy where buyers and sellers gradually learn about changes in market conditions.

Erik R. de Wit; Peter Englund; Marc K. Francke

2013-01-01T23:59:59.000Z

115

Price Dispersion in the Housing Market: The Role of Bargaining and Search Costs  

E-Print Network (OSTI)

Price Dispersion in the Housing Market: The Role of Bargaining and Search Costs Gaetano Lisi a basic fact of housing markets: price dispersion. The variance in house prices is basically due to both the deal. Furthermore, the house price is substantially determined by bargaining between the parties

Boyer, Edmond

116

Market Design and Price Behavior in Restructured Electricity Markets: An International Comparison  

E-Print Network (OSTI)

on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy Institute of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www.ucei.berkeley.edu/ucei #12 of market- clearing prices. Using evidence on the design of electricity markets in England and Wales, Norway

California at Berkeley. University of

117

Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random Process  

E-Print Network (OSTI)

Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random 2002; published 13 March 2003) We model trading and price formation in a market under the assumption for the most basic properties of markets, such as the diffusion rate of prices (which is the standard measure

118

Impact of Storage on the Efficiency and Prices in Real-Time Electricity Markets  

E-Print Network (OSTI)

Impact of Storage on the Efficiency and Prices in Real-Time Electricity Markets Nicolas Gast Jean in dynamic real-time electricity markets. We consider that demand and renewable generation are stochastic of a competitive equilibrium when players are price-takers (they do not affect market prices). We further establish

Paris-Sud XI, Université de

119

IEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price  

E-Print Network (OSTI)

IEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price Forecasting Errors to forecast electricity market prices and improve forecast accuracy. However, no studies have been reported, the application of electricity market price forecasts to short-term operation scheduling of two typical

Cañizares, Claudio A.

120

Market dynamics and price stability: the case of the global energy market  

Science Journals Connector (OSTI)

In the present century, the potential for growth in the world demand for energy is enormous due to growing industrialisation, economic advancement and population growth far and wide. However, there is hardly any consensus on strategies to encourage smooth supplies and sustainable prices in the energy markets. This paper examines the current market conditions of the energy market and the mechanism used by OPEC for pricing. Lessons from past years are used to design policies aimed at creating a win-win situation for energy producers and consumers.

Quhafah Mahasneh

2003-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wellhead price marketed" 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

Green Pricing Program Marketing Expenditures: Finding the Right Balance  

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

449 449 September 2009 Green Pricing Program Marketing Expenditures: Finding the Right Balance Barry Friedman and Mackay Miller National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov 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 Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-46449 September 2009 Green Pricing Program Marketing Expenditures: Finding the Right Balance Barry Friedman and Mackay Miller Prepared under Task No. SAO9.3003 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any

122

Dynamics of heating oil market prices in Europe  

Science Journals Connector (OSTI)

This paper concerns the German and French heating oil market and attempts to establish long- and short-term relationships between German and French monthly heating oil prices in dollars, the Rotterdam spot price for the same product and the DM/US$ and FF/US$ exchange rates during the period from January 1987 to December 1997. To model the market over the period under consideration, incorporating the Gulf War, we have used conventional unit root tests and sequential tests allowing structural changes. Long-term relationships, with shifts in regime detected by cointegration tests taking structural breaks into consideration, are estimated. The short-term dynamics defined by a vector error correction (VEC) mechanism is derived in a classic manner when in presence of a cointegrated VAR system. The econometric results obtained are commented on from an economic point of view. Weak exogeneity tests are performed and the conditional VEC model is deduced, enabling measurement of the instantaneous impact of variations in weakly exogenous exchange rates on variations in heating oil prices in Germany and France. Lastly, a study is made of the asymmetric reaction of domestic prices to positive and negative variations in exchange rates and the Rotterdam spot quotation.

J.P. Indjehagopian; F. Lantz; V. Simon

2000-01-01T23:59:59.000Z

123

Forecasting electricity spot market prices with a k-factor GIGARCH process.  

E-Print Network (OSTI)

Forecasting electricity spot market prices with a k-factor GIGARCH process. Abdou Kâ Diongue this method to the German electricity price market for the period August 15, 2000 - De- cember 31, 2002 and we; Electricity prices; Forecast; GIGARCH process. Corresponding author: Universite Gaston Berger de Saint

Paris-Sud XI, Université de

124

On the relationship between world oil prices and GCC stock markets  

E-Print Network (OSTI)

On the relationship between world oil prices and GCC stock markets Mohamed El Hedi Arouri Associate ABSTRACT We provide comprehensive evidence on the relationship between oil prices and stock mar- kets to be more sensitive to negative than to positive oil shocks. Keywords: oil prices, stock markets, GCC

Paris-Sud XI, Université de

125

Price dynamics in a Markovian limit order market Rama CONT & Adrien de LARRARD  

E-Print Network (OSTI)

Price dynamics in a Markovian limit order market Rama CONT & Adrien de LARRARD December 2010 expressions for various quantities of interest such as the distribution of the duration between price changes, the distribution and autocorrelation of price changes, and the probability of an upward move in the price

Paris-Sud XI, Université de

126

Price dynamics in a Markovian limit order market Rama CONT & Adrien de LARRARD  

E-Print Network (OSTI)

Price dynamics in a Markovian limit order market Rama CONT & Adrien de LARRARD IEOR Dept, Columbia expressions for various quantities of interest such as the distribution of the duration between price changes, the distribution and autocorrelation of price changes, and the probability of an upward move in the price

Paris-Sud XI, Université de

127

Participatory Sensing in Commerce: Using Mobile Camera Phones to Track Market Price Dispersion  

E-Print Network (OSTI)

-of-concept participatory mobile camera-phone sensing systems that we have built: (1) automating fuel price collectionParticipatory Sensing in Commerce: Using Mobile Camera Phones to Track Market Price Dispersion In economics, price dispersion refers to the price difference of a homogeneous good across different vendors

Bulusu, Nirupama

128

Fossil fuel prices, exchange rate, and stock market: A dynamic causality analysis on the European market  

Science Journals Connector (OSTI)

The article investigates causality between fossil fuel prices, exchange rates and the German Stock Index (DAX). The analysis is conducted dynamically with the use of rolling VAR methodology on the basis of weekly data from the period October 2001–June 2012. The results obtained show that the relationship between the variables changed over time depending on the level of volatility in financial markets.

S?awomir ?miech; Monika Papie?

2013-01-01T23:59:59.000Z

129

2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.  

SciTech Connect

This study presents BPA's market price forecasts for the Final Proposal, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's power rates. AURORA was used as the primary tool for (a) estimating the forward price for the IOU REP Settlement benefits calculation for fiscal years (FY) 2008 and 2009, (b) estimating the uncertainty surrounding DSI payments and IOU REP Settlements benefits, (c) informing the secondary revenue forecast and (d) providing a price input used for the risk analysis. For information about the calculation of the secondary revenues, uncertainty regarding the IOU REP Settlement benefits and DSI payment uncertainty, and the risk run, see Risk Analysis Study WP-07-FS-BPA-04.

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

130

Virginia Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Virginia Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4,342 8,928 15,041 15,427 19,223 18,424 17,935 1990's 14,283 14,906 24,734 37,840 50,259 49,818 0 0 0 0 2000's 0 0 0 0 NA NA NA NA NA NA 2010's NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead Value Virginia Natural Gas Wellhead Value and Marketed Production

131

Oregon Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Oregon Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3 2,790 4,080 4,600 3,800 4,000 2,500 1990's 2,815 2,741 2,580 4,003 3,221 1,923 1,439 1,173 1,067 1,291 2000's 1,214 1,069 837 688 467 433 NA 390 751 751 2010's 1,376 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead Value Oregon Natural Gas Wellhead Value and Marketed Production

132

Pennsylvania Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Pennsylvania Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 118,372 166,342 150,234 159,889 163,318 167,089 191,774 1990's 177,609 152,500 138,675 189,443 187,113 177,139 0 0 0 0 2000's 0 0 0 0 NA NA NA NA NA NA 2010's NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead Value Pennsylvania Natural Gas Wellhead Value and Marketed

133

Nebraska Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Nebraska Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,091 2,300 1,944 1,403 1,261 910 878 1990's 793 785 1,177 1,375 2,098 1,538 1,332 1,194 1,285 1,049 2000's 879 883 892 1,168 1,172 1,172 NA 1,555 3,082 2,908 2010's 2,231 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead Value Nebraska Natural Gas Wellhead Value and Marketed Production

134

West Virginia Quantity of Production Associated with Reported Wellhead  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) West Virginia Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 130,078 143,730 144,883 135,431 160,000 174,942 177,192 1990's 95,271 198,605 202,775 171,024 55,756 50,439 0 0 0 0 2000's 0 0 NA 0 NA NA NA NA NA NA 2010's NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead Value West Virginia Natural Gas Wellhead Value and Marketed

135

Winter Fuels Market Assessment 2000  

Gasoline and Diesel Fuel Update (EIA)

September 13, 2000 September 13, 2000 Winter Fuels Market Assessment 2000 09/14/2000 Click here to start Table of Contents Winter Fuels Market Assessment 2000 West Texas Intermediate Crude Oil Prices Perspective on Real Monthly World Oil Prices, 1976 - 2000 U.S. Crude Oil Stocks Total OECD Oil Stocks Distillate and Spot Crude Oil Prices Distillate Stocks Expected to Remain Low Distillate Stocks Are Important Part of East Coast Winter Supply Consumer Winter Heating Oil Costs Natural Gas Prices: Well Above Recent Averages Annual Real Natural Gas Prices by Sector End-of-Month Working Gas in .Underground Storage Residential Prices Do Not Reflect the Volatility Seen in Wellhead Prices Consumer Natural Gas Heating Costs Winter Weather Uncertainty Author: John Cook Email: jcook@eia.doe.gov

136

Relationship Between Wind Generation and Balancing Energy Market Prices in ERCOT: 2007-2009  

SciTech Connect

This paper attempts to measure the average marginal effects of wind generation on the balancing-energy market price in ERCOT with the help of econometric analysis.

Nicholson, E.; Rogers, J.; Porter, K.

2010-11-01T23:59:59.000Z

137

Price effects of airline consolidation: evidence from a sample of transatlantic markets  

Science Journals Connector (OSTI)

We offer an analysis of price effects of airline consolidation on a sample of transatlantic markets. While joining airlines’ networks through...

Volodymyr Bilotkach

2007-11-01T23:59:59.000Z

138

Japan's Solar Photovoltaic (PV) Market: An Analysis of Residential System Prices (Presentation)  

SciTech Connect

This presentation summarizes market and policy factors influencing residential solar photovoltaic system prices in Japan, and compares these factors to related developments in the United States.

James, T.

2014-03-01T23:59:59.000Z

139

Do traders' positions predict oil futures prices? A case study of the 2008 oil market turbulence  

Science Journals Connector (OSTI)

This paper empirically tests whether traders' positions predict crude oil futures prices through a case study of the 2008 oil market turbulence. It is found that the three-week-long trend of traders' net long position significantly forecasts prices when the prices excessively rise from April to July 2008. In specific, speculator's trend forecasts price continuation, whereas the hedger's trend predicts price reversals. However, during the price-collapsing period, no significant predictability is found. These findings provide two implications. First, the hedging-pressure theory can be supported in oil futures market when the market prices excessively rise and traders' position data are used as trend concept. Second, the recent argument on 'the 2008 oil bubble' asserting that excessive rise in oil prices during the second quarter of 2008 is associated with speculator's positions can be supported.

Sunghee Choi; Seok-Joon Hwang

2012-01-01T23:59:59.000Z

140

On the shortterm influence of oil price changes on stock markets in GCC countries: linear and nonlinear analyses  

E-Print Network (OSTI)

1 On the shortterm influence of oil price changes on stock markets in GCC countries the short-run relationships between oil prices and GCC stock markets. Since GCC countries are major world energy market players, their stock markets may be susceptible to oil price shocks. To account

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "wellhead price marketed" 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

Price volatility forecasting using artificial neural networks in emerging electricity markets  

Science Journals Connector (OSTI)

In the adaptive short-term electricity price forecasting, it may be premature to rely solely on the hourly price forecast. The volatility of electricity price should also be analysed to provide additional insight on price forecasting. This paper proposes a price volatility module to analyse electricity price spikes and study the probability distribution of electricity price. Two methods are used to study the probability distribution of electricity price: the analytical method and the ANN method. Furthermore, ANN method is used to study the impact of line limits, line outages, generator outages, load pattern and bidding strategy on short term price forecasting, in addition to sensitivity analysis to determine the extent to which these factors impact price forecasting. Data used in this study are spot electricity prices from California market in the period which includes the crisis months where extreme volatility was observed.

Ahmad F. Al-Ajlouni; Hatim Y. Yamin; Ali Eyadeh

2012-01-01T23:59:59.000Z

142

An overview of global gold market and gold price forecasting Shahriar Shafiee a,n  

E-Print Network (OSTI)

into the relationship between gold price and other key influencing variables, such as oil price and global inflationAn overview of global gold market and gold price forecasting Shahriar Shafiee a,n , Erkan Topal b history: Received 6 February 2009 Received in revised form 20 April 2010 Accepted 17 May 2010 Jel

Boisvert, Jeff

143

OIL PRICE IMPACT ON FINANCIAL MARKETS: CO-SPECTRAL ANALYSIS FOR EXPORTING VERSUS IMPORTING COUNTRIES  

E-Print Network (OSTI)

OIL PRICE IMPACT ON FINANCIAL MARKETS: CO-SPECTRAL ANALYSIS FOR EXPORTING VERSUS IMPORTING://www.economie.polytechnique.edu/ mailto:chantal.poujouly@polytechnique.edu hal-00822070,version1-14May2013 #12;1 Oil price impact Khaled Guesmi3 Abstract The aim of this paper is to study the degree of interdependence between oil price

Boyer, Edmond

144

Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic  

E-Print Network (OSTI)

Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic PO Box the predictability of electricity price under new market regulations and the engineering aspects of large scale of traditional commodities, such as,oil or agricultural products. Clearly, assessing the effectiveness

Obradovic, Zoran

145

A Probability Theory Based Price Determination Framework for Utility Companies in an Oligopolistic Energy Market  

E-Print Network (OSTI)

Energy Market Tiansong Cui, Yanzhi Wang, Xue Lin, Shahin Nazarian, and Massoud Pedram University to determine the energy price for utility companies in an oligopolistic energy market. At the beginning of each non-cooperative utility companies that offer time-of-use dependent energy prices to energy consumers

Pedram, Massoud

146

Futures pricing in electricity markets based on stable CARMA spot models  

E-Print Network (OSTI)

Futures pricing in electricity markets based on stable CARMA spot models Gernot M¨uller Vortrag im years, electricity markets throughout the world have undergone massive changes due to deregulations risk but also against price movements. Consequently, statistical modeling and estimation of electricity

Gerkmann, Ralf

147

Nonlinear Pricing Strategies and Market Concentration in the Airline Industry  

E-Print Network (OSTI)

with a unit mass. Further assume that the reservation utility v is su?ciently high so that the whole market is covered.9 Firmi?s, i = 1;2, decisionproblemconsistsofofieringquality-pricepairs(qiL;piL) and (qiH;piH) that maximize proflts subject... to incentive-compatibility (IC) and par- ticipation constraints, given the other flrm?s quality-price pairs. Formally, Maxp iL;piH;qiL;qiH ?i = ?[(piL ?cqiL)xiL]? q 2 iL 2 +(1??)[(piH ?cqiH)xiH]? q2iH 2 s.t. HqiH ?piH ? HqiL ?piL; (ICH) LqiL ?piL ? LqiH ?pi...

Hernandez Garcia, Manuel A.

2010-10-12T23:59:59.000Z

148

Competition and price discrimination in the market for mailing lists  

E-Print Network (OSTI)

Katz, M. L. (1984). Price discrimination and monopolistic395–416. Shepard, A. (1991). Price discrimination and retailJ. (1952). The theory of price. New York: Macmillan. Stole,

Borzekowski, Ron; Thomadsen, Raphael; Taragin, Charles

2009-01-01T23:59:59.000Z

149

Asymmetric information and list-price reductions in the housing market  

Science Journals Connector (OSTI)

Abstract In housing markets with asymmetric information list prices may signal unobserved properties of the house or the seller. Asymmetric information is the starting point for many models for the housing market. In this paper, we estimate the causal effect of list-price reductions on the time houses remain for sale on the market to test for the presence of asymmetric information. We use very rich and extensive administrative data from the Netherlands. Our empirical results show that list-price reductions significantly increase the selling rate of a house, but also the rate of withdrawal from the market increases.

Erik R. de Wit; Bas van der Klaauw

2013-01-01T23:59:59.000Z

150

Essays on price dynamics, discovery, and dynamic threshold effects among energy spot markets in North America  

E-Print Network (OSTI)

stylized facts concerning electricity prices: high volatility, mean-reversion, seasonality, and frequent extreme jumps in prices (Huisman and Mahieu, 2003). See Bunn (2004) for more studies concerning modeling electricity prices. De Vany and Walls (1999... or five trading days) convergence with respect to external shocks. Jerko, Mjelde, and Bessler (2004) using directed graphs to examine the contemporaneous causal flows 9 among spot markets suggested electricity price information flows...

Park, Haesun

2005-11-01T23:59:59.000Z

151

Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets in gcc  

E-Print Network (OSTI)

Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets Rouen & LEO Abstract This paper examines the short-run relationships between oil prices and GCC stock to oil price shocks. To account for the fact that stock markets may respond nonlinearly to oil price

Paris-Sud XI, Université de

152

Natural Gas Spot Prices:  

Gasoline and Diesel Fuel Update (EIA)

4 of 26 4 of 26 Notes: Spot wellhead prices last summer averaged well over $4.00 per thousand cubic feet during a normally low-price season. During the fall, these prices stayed above $5.00 per thousand cubic feet, more than double the year-ago average price. In January, the spot wellhead price averaged a record $8.98 per thousand cubic feet. Spot prices at the wellhead have never been this high for such a prolonged period. The chief reason for these sustained high gas prices was, and still is, uneasiness about the supply situation. Concern about the adequacy of winter supplies loomed throughout most of the summer and fall as storage levels remained significantly depressed. Last December, the most severe assumptions about low storage levels became real, when the spot price

153

Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets  

E-Print Network (OSTI)

Test Bed I. INTRODUCTION THE wholesale power market design proposed by the U.S. Federal Energy1 Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets (LMPs) in an ISO-managed restructured wholesale power market operating over an AC transmission grid

Tesfatsion, Leigh

154

Embedding renewable energy pricing policies in day-ahead electricity market clearing  

Science Journals Connector (OSTI)

Abstract Since the 90s various policies have been applied for supporting the development of Renewable Energy Sources (RES), including quota or amount-based systems and price-based systems (feed-in tariffs or “FiT”). In both cases, there is a political stress when there is a need to increase the renewable uplift charge rates (out-of-market mechanism), in order to finance the RES projects. This issue is resolved by adopting a novel market framework, in which the demand entities’ clearing price entails the whole cost they are willing to pay for their participation in the energy market, including energy prices, reserve prices and the RES uplift price. A Mixed Complementarity Problem is utilized for clearing the market, in which the demand clearing prices are implicitly defined by mixing the explicit prices for energy, reserves and the RES uplift. The model retains the consistency of the supply (energy and reserves) and demand cleared quantities with the respective bids and the clearing prices, and attains a significant decrease of the payments through the relevant uplift accounts. The efficiency of the proposed model is demonstrated on a 24-h day-ahead market simulation using the IEEE RTS-96, defining endogenously the RES uplift under a system-wide FiT and a Green Certificate mechanism.

Andreas G. Vlachos; Pandelis N. Biskas

2014-01-01T23:59:59.000Z

155

The Impact of Market Clearing Time and Price Signal Delay on the Stability of Electric Power Markets  

SciTech Connect

We generalize a model, proposed by Alvarado, of the electric power market by including the effects of control and communication. To simulate realistic markets, our model issues control signals only at given times and those signals are delayed during transmission. These two effects transform Alvarado's continuous system into a hybrid system, with consequential effects. The stability analysis of the new system reveals two important properties. First, there is an upper limit on the market clearing time and the delay of the price signal beyond which the system becomes unstable. Second, there is a counter-intuitive relationship between the market clearing time and price signal delay: when the market clearing time is relatively long, delaying the price signal can improve the market's stability while reducing the communication delay can destabilize the market. This counter-intuitive effect shows that the full impact of information technology on power markets can be significant and difficult to anticipate. Therefore, as markets are designed and regulated, careful attention should be paid to the effects of information technology on the market's dynamic behavior.

Nutaro, James J [ORNL; Protopopescu, Vladimir A [ORNL

2009-01-01T23:59:59.000Z

156

Markets & Finance - Analysis - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Overview of 2009 Petroleum and Natural Gas Markets Overview of 2009 Petroleum and Natural Gas Markets Crude oil, natural gas, and petroleum products prices all fell sharply in 2009 from the record high prices in all three categories for 2008. On an average annual basis, crude oil prices dropped 37 percent from 2008 (in constant 2009 dollars), and natural gas wellhead prices dropped 54 percent to $3.71 per thousand cubic feet (mcf) in 2009. Within-year price movements, however, amend the story told by average annual prices: oil prices fell in the second half of 2008, and it was only because price increases in the first part of the year were so large that the average annual price reached a record high in 2008. From the relative low of December 2008, oil prices increased most months of 2009 to a level of $72.64 per barrel in December 2009, over twice the level of

157

The Natural Gas Industry and Markets in 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 Overview The natural gas industry in 2003 experienced sustained high prices, supported at least in part by pressure on supplies as gas in storage was rebuilt from historic lows in the early part of the year. The national annual average natural gas wellhead price was $4.88 per thousand cubic feet (Mcf), which is the highest wellhead price (based on 2003 constant dollars) in the Energy Information Administration's historical data series dating to 1930. U.S. marketed production was virtually unchanged compared with the previous year at 19.9 trillion cubic feet (Tcf), despite the high prices and an increased number of drilling rigs employed in the commercial development of gas deposits. Imports of liquefied natural gas (LNG) mitigated supply declines, reaching a record

158

Energy Factors, Leasing Structure and the Market Price of Office Buildings  

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

Energy Factors, Leasing Structure and the Market Price of Office Buildings Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S. Speaker(s): Nancy Wallace Date: June 15, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Paul Mathew The talk will cover the results from an empirical paper that analyzes the relationship between energy factor markets, leasing structures and the transaction prices of office buildings in the {U.S.} We employ a large sample of 15,133 office building transactions that occurred between 2001 and 2010. In addition to building characteristics, we also include information on the operating expenses, the net operating income, and the market capitalization rates at sale to estimate an asset pricing model for commercial office real estate assets. A further set of important controls

159

Modelling power spot prices in deregulated European energy markets: a dual long memory approach  

Science Journals Connector (OSTI)

In the last decade, with deregulation and introduction of competition in power markets, prices forecasting have become a real challenge for all market participants. However, forecasting is a rather complex task since electricity prices involve many features comparably with financial ones. Electricity markets have a highly volatile nature. They are indeed a more unpredictable than that of other commodities referred to as extreme volatile. In this paper, the two most emerging European electricity markets are considered. A preliminary analysis of the time series attests to the presence of a long range dependance behaviour. Therefore, prices processes are modelled using ARFIMA-FIGARCH under Gaussian and non-Gaussian distributions. Such models are sufficiently flexible to handle the long memory phenomena often encountered in both conditional mean and conditional variance in electricity spot prices. Forecasting is subsequently performed on the basis of adequate models.

Najeh Chaâbane; Foued Saâdaoui; Saloua Benammou

2012-01-01T23:59:59.000Z

160

Natural Gas Spot Price Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 of 17 7 of 17 Notes: Despite signs that domestic natural gas production has begun to turn around (the Texas Railroad Commission now reports year-to-date (through Sep.) gains in Texas gas production of 1.2 percent, compared to a 4.7-percent decline for the same months in 1999 versus 1998) the reality of the U.S. gas market is that supply responses have been too little, too late to prevent record-high spot prices and prospects for very high average prices this winter. We now expect to see peak monthly spot wellhead prices this winter of over $6.00 per thousand cubic feet (mcf) (December). Last month we maintained confidence that conditions would improve enough to keep the $5.10 per mcf recorded in October as the peak for this heating season. With partial data available, a monthly average value of about $5.60 per mcf looks likely for

Note: This page contains sample records for the topic "wellhead price marketed" 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

California Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2008 2009 2010 2011 2012 2013 View History Wellhead Price 8.38 3.96 4.87 1967-2010 Imports Price 9.15 2.83 4.76 3.57 -- 3.59 2007-2013 Exports Price 8.06 3.76 4.51 4.18 2.90 3.89...

162

Pricing Schemes for Metropolitan Traffic Data Markets Negin Golrezaei1  

E-Print Network (OSTI)

online market such as Inter- net advertising and cloud computing, data market- places are still, but also increases air pollution. According to Texas Transportation Institute, the number of hours wasted

Shahabi, Cyrus

163

Essays on oil price shocks and financial markets   

E-Print Network (OSTI)

This thesis is composed of three chapters, which can be read independently. The first chapter investigates how oil price volatility affects the investment decisions for a panel of Japanese firms. The model is estimated ...

Wang, Jiayue

2012-06-26T23:59:59.000Z

164

Impact of Exogenous Shocks on Oil Product Market Prices  

Science Journals Connector (OSTI)

The presence in Italy of a high number of vertically integrated energy companies, has given us the idea to investigate the effects that adoption of new price policies, and geopolitical events, have on the mechani...

Antonio Angelo Romano; Giuseppe Scandurra

2011-01-01T23:59:59.000Z

165

The price of energy efficiency in the Spanish car market  

Science Journals Connector (OSTI)

Abstract Due to climate change, energy dependence and other energy-related issues, most developed countries are attempting to reduce fossil-fuel use in the transport sector. Accordingly, there are several instruments that have been in place for many years, such as mandatory design standards, taxes on fuels, car purchase and ownership, and energy efficiency labels. Yet it is still not clear whether consumers value energy efficiency as a characteristic of vehicles. In this paper we use the European labelling system for light vehicles, which classifies automobiles according to their relative fuel consumption levels, as a novel, alternative indicator for energy efficiency. Moreover, we use a unique database that incorporates official commercial prices along with prices obtained through ‘mystery shopping’ at a selection of Spanish car retailers. We apply the hedonic price method to this database to estimate the price functions for vehicles and thereby obtain the marginal price of vehicles rated highly in terms of energy efficiency. Our results show that vehicles labelled A and B are sold at prices 3 to 5.9 percent higher than those with similar characteristics but lower energy-efficiency labels.

Ibon Galarraga; Ana Ramos; Josu Lucas; Xavier Labandeira

2014-01-01T23:59:59.000Z

166

Average Residential Price  

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

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

167

The impact of oil price shocks on the stock market return and volatility relationship  

Science Journals Connector (OSTI)

Abstract This paper examines the impact of structural oil price shocks on the covariance of U.S. stock market return and stock market volatility. We construct from daily data on return and volatility the covariance of return and volatility at monthly frequency. The measures of daily volatility are realized-volatility at high frequency (normalized squared return), conditional-volatility recovered from a stochastic volatility model, and implied-volatility deduced from options prices. Positive shocks to aggregate demand and to oil-market specific demand are associated with negative effects on the covariance of return and volatility. Oil supply disruptions are associated with positive effects on the covariance of return and volatility. The spillover index between the structural oil price shocks and covariance of stock return and volatility is large and highly statistically significant.

Wensheng Kang; Ronald A. Ratti; Kyung Hwan Yoon

2015-01-01T23:59:59.000Z

168

Application of neural networking in live cattle futures market: an approach to price-forecasting  

E-Print Network (OSTI)

-Ju Chou, B. S. , Tunghai University, Taiwan Chair of Advisory Committee Dr. John P. Walter The ability to forecast closing price changes using neural networking technique in the live cattle futures market was investigated. Futures prices and contract... volumes from 1977 through 1991 were obtained for four commodities: live cattle, feeder cattle, live hogs and corn. Twelve neural networks were constructed, one for each combination of six contract months and two uading periods. The two trading periods...

Chou, Chien-Ju

2012-06-07T23:59:59.000Z

169

Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market  

Science Journals Connector (OSTI)

Abstract Modelling price formation in electricity markets is a notoriously difficult process, due to physical constraints on electricity generation and transmission, and the potential for market power. This difficulty has inspired the recent development of bottom-up agent-based algorithmic learning models of electricity markets. While these have proven quite successful in small models, few authors have attempted any validation of their model against real-world data in a more realistic model. In this paper we develop the SWEM model, where we take one of the most promising algorithms from the literature, a modified version of the Roth and Erev algorithm, and apply it to a 19-node simplification of the New Zealand electricity market. Once key variables such as water storage are accounted for, we show that our model can closely mimic short-run (weekly) electricity prices at these 19 nodes, given fundamental inputs such as fuel costs, network data, and demand. We show that agents in SWEM are able to manipulate market power when a line outage makes them an effective monopolist in the market. SWEM has already been applied to a wide variety of policy applications in the New Zealand market.22 This research was partly funded by a University of Auckland FDRF Grant #9554/3627082. The authors would like thank Andy Philpott, Golbon Zakeri, Anthony Downward, an anonymous referee, and participants at the EPOC Winter Workshop 2010 for their helpful comments.

David Young; Stephen Poletti; Oliver Browne

2014-01-01T23:59:59.000Z

170

Testing the arbitrage pricing theory in an emerging stock market: the case of Mauritius  

Science Journals Connector (OSTI)

This study focuses on the arbitrage pricing theory (APT) framework to analyse several macroeconomic factors likely to influence the market return (SEMDEX return) on the Stock Exchange of Mauritius (SEM). Seven variables are considered: the consumer price index, oil price, exchange rate, tourist arrival rate, electricity consumption, Lombard rate and aggregate money supply. The sample data are monthly observations from January 2002 to December 2006. Four variables that are statistically significant at the 10% level or better in explaining variation in the equity premium on the SEM are: the level of the price index, the oil price (given that Mauritius is heavily dependent on oil imports), the exchange rate and the level of economic activity as proxied by electricity consumption. The most important variable is the exchange rate. The reliability of the model is tested and found to be adequate.

Sunil K. Bundoo

2009-01-01T23:59:59.000Z

171

Exchange rate effect on carbon credit price via energy markets  

Science Journals Connector (OSTI)

Abstract This paper examines the impact of currency exchange rates on the carbon market. We scrutinize this effect through the European Union Emission Trading Scheme (EU-ETS), which primarily uses two substitutable fossil energy inputs for the generation of electricity: coal and natural gas. The European coal market is directly driven by global coal markets that are denominated in USD, whereas, natural gas is mainly imported from Russia and is denominated in Euros. The impulse response functions of a Structural Vector Autoregression (SVAR) model demonstrate that a shock in the Euro/USD exchange rate can be transmitted through the channel of energy substitution between coal and natural gas, and influence on the carbon credit market.

Jongmin Yu; Mindy L. Mallory

2014-01-01T23:59:59.000Z

172

Utility Marketing Strategies and Pricing Trends (An Overview)  

E-Print Network (OSTI)

"Industries and utilities alike find themselves today in a very competitive environment. Industry finds that it must defend against threats to its markets from both domestic and foreign competitors. Likewise, utilities are challenged by industry...

Reynolds, S.

173

Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over the Last Decade  

E-Print Network (OSTI)

Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over This article extends the understanding of oil­stock market relationships over the last turbulent decade. Unlike returns to oil price changes differ greatly depending on the activity sector. In the out

Paris-Sud XI, Université de

174

Oil price shocks and stock market returns: New evidence from the United States and China  

Science Journals Connector (OSTI)

Abstract This study examines the time-varying correlations between oil prices shocks of different types (supply-side, aggregate demand and oil-market specific demand as per Kilian (2009) who highlighted that “Not all oil shocks are alike”) and stock market returns, using a Scalar-BEKK model. For this study we consider the aggregate stock market indices from two countries, China and the US, reflecting the most important developing and developed financial markets in the world. In addition to the whole market, we also consider correlations from key selected industrial sectors, namely Metals & Mining, Oil & Gas, Retail, Technology and Banking. The sample period runs from 1995 until 2013. We highlight several key points: (i) correlations between oil price shocks and stock returns are clearly and systematically time-varying; (ii) oil shocks of different types show substantial variation in their impact upon stock market returns; (iii) these effects differ widely across industrial sectors; and finally (iv) China is seemingly more resilient to oil price shocks than the US.

David C. Broadstock; George Filis

2014-01-01T23:59:59.000Z

175

The evolving price of household LED lamps: Recent trends and historical comparisons for the US market  

SciTech Connect

In recent years, household LED light bulbs (LED A lamps) have undergone a dramatic price decline. Since late 2011, we have been collecting data, on a weekly basis, for retail offerings of LED A lamps on the Internet. The resulting data set allows us to track the recent price decline in detail. LED A lamp prices declined roughly exponentially with time in 2011-2014, with decline rates of 28percent to 44percent per year depending on lumen output, and with higher-lumen lamps exhibiting more rapid price declines. By combining the Internet price data with publicly available lamp shipments indices for the US market, it is also possible to correlate LED A lamp prices against cumulative production, yielding an experience curve for LED A lamps. In 2012-2013, LED A lamp prices declined by 20-25percent for each doubling in cumulative shipments. Similar analysis of historical data for other lighting technologies reveals that LED prices have fallen significantly more rapidly with cumulative production than did their technological predecessors, which exhibited a historical decline of 14-15percent per doubling of production.

Gerke, Brian F.; Ngo, Allison T.; Alstone, Andrea L.; Fisseha, Kibret S.

2014-10-14T23:59:59.000Z

176

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

SciTech Connect

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

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

2005-08-25T23:59:59.000Z

177

Using market-based dispatching with environmental price signals to reduce emissions  

E-Print Network (OSTI)

, University of Texas at Austin, TX 78712, USA 4 Center for International Energy and Environmental PolicyUsing market-based dispatching with environmental price signals to reduce emissions and water use for Global Change Science (CGCS) and the Center for Energy and Environmental Policy Research (CEEPR

178

A study of beef cattle marketing in Venezuela and the marketing margins between the farm and retail levels of prices  

E-Print Network (OSTI)

partial fulf i 1 lment of the recu'. rement i or rhe degree of MASTEF, OF SCIENCE December 1975 Major Subject: Agricultural Economics A STUDY OF B EF' CATTLE M. 'RKEl'lNG :N VENEZUELA AND THE MARKETING MAPGINS BETWEEN THE FVARM AND RETAIL LEVELS Ot... for the period 1960-1972 were studied from the farm through 'retail levels, the variations in price spread were large. Lack of knowledge concerning share of marketing margins has brought inadequate govern- ment policies. The structural demand equation...

Acosta, Sady Ines Borjas-Paez

2012-06-07T23:59:59.000Z

179

Energy price prediction multi-step ahead using hybrid model in the Brazilian market  

Science Journals Connector (OSTI)

Abstract This paper proposes a new hybrid approach for short-term energy price prediction. This approach combines auto-regressive integrated moving average (ARIMA) and neural network (NN) models in a cascaded structure and uses explanatory variables. A two step procedure is applied. In the first step, the selected explanatory variables are predicted. In the second one, the energy prices are forecasted by using the explanatory variables prediction. Further, the proposed model considers a multi-step ahead price prediction (12 weeks-ahead) and is applied to Brazilian market, which adopts a cost-based centralized dispatch with unique characteristics of price behavior. The results show good ability to predict spikes and satisfactory accuracy according to error measures and tail loss test when compared with traditional techniques. Thus, the model can be an attractive tool to mitigate risks in purchasing power.

José C. Reston Filho; Carolina de M. Affonso; Roberto C.L. de Oliveira

2014-01-01T23:59:59.000Z

180

Are the transport fuel retail markets regionally integrated in Spain? Evidence from price transmission  

Science Journals Connector (OSTI)

Abstract In this paper we explore whether the Spanish retail fuel markets are integrated at the regional level. We perform a comparative analysis of the transmission of international wholesale fuel prices to retail fuel prices. Our results are in favor of market segmentation, since the degree of cost pass-through differs noticeably across provinces (NUTS 3) and this outcome is clearly robust to the exclusion of the island provinces. We also found that cost pass-through is more similar for those provinces belonging to the same autonomous community (NUTS 2). It is suggested that different regulations and criteria regarding the granting of administrative authorizations from the autonomous communities could be hindering the integration of geographical markets.

Jacint Balaguer; Jordi Ripollés

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wellhead price marketed" 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

Energy and Financial Markets Overview: Crude Oil Price Formation  

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

John Maples John Maples 2011 EIA Energy Conference April 26, 2011 Transportation and the Environment Light-duty vehicle combined Corporate Average Fuel Economy Standards (CAFE) in three cases, 2005-2035 2 0 20 40 60 80 2005 2010 2015 2020 2025 2030 2035 miles per gallon Source: EIA, Annual Energy Outlook 2011 CAFE6 CAFE3 Reference John Maples, April 26, 2011 Light-duty vehicle delivered energy consumption and total transportation carbon dioxide emissions, 2005-2035 3 0 5 10 15 20 2005 2010 2015 2020 2025 2030 2035 Reference CAFE3 CAFE6 quadrillion Btu 0 500 1000 1500 2000 2500 2005 2010 2015 2020 2025 2030 2035 million metric tons carbon dioxide equivalent Source: EIA, Annual Energy Outlook 2011 John Maples, April 26, 2011 Distribution of new light-duty vehicle sales by price, 2010 and 2025 (2009$) 4 Source: EIA, Annual Energy Outlook 2011

182

Natural Gas Marketed Production  

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

Wellhead Price Marketed Production Period: Monthly Annual Wellhead Price Marketed Production Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. 2,085,518 2,166,183 2,097,434 2,188,208 2,188,379 2,104,808 1973-2013 Federal Offshore Gulf of Mexico 116,480 112,975 102,113 109,113 102,493 105,284 1997-2013 Alabama NA NA NA NA NA NA 1989-2013 Alaska 29,725 27,904 25,445 23,465 23,613 25,916 1989-2013 Arizona NA NA NA NA NA NA 1991-2013 Arkansas NA NA NA NA NA NA 1991-2013 California NA NA NA NA NA NA 1989-2013 Colorado NA NA NA NA NA NA 1989-2013 Florida NA NA NA NA NA NA 1989-2013

183

The effect of the financial sector on the evolution of oil prices: Analysis of the contribution of the futures market to the price discovery process in the WTI spot market  

Science Journals Connector (OSTI)

The aim of this article is to empirically measure the contribution of the futures market to the price discovery process in the spot market for benchmark crude oils, specifically that for West Texas Intermediate (WTI). For this purpose, we test the hypothesis that the recent evolution of the financial markets has affected the future oil market so as to increase its contribution to the price discovery process of the spot market. We modeled the relation between WTI spot and future prices as a cointegration relation. By using the Kalman filter technique, it was possible to obtain a time-varying measure of the contribution of future markets to the price discovery mechanism. The results show that in the case of WTI, the contribution of the futures market has been increasing, especially between 2003 and 2008 and then again after the start of 2009, evidencing the growing importance of factors particular to the financial markets in determining oil prices in recent years. During 2009, the spot prices adjusted to agents' future expectations rather than to the current supply and demand conditions.

Renan Silvério; Alexandre Szklo

2012-01-01T23:59:59.000Z

184

Chapter 8 - An Econometric Analysis of the Impact of Oil Prices on Stock Markets in Gulf Cooperation Countries  

Science Journals Connector (OSTI)

Abstract This paper implements recent bootstrap panel cointegration techniques and Seemingly Unrelated Regression (SUR) methods to investigate the existence of a long-run relationship between oil prices and Gulf Cooperation Council (GCC) Countries stock markets. Since GCC countries are major world energy market players, their stock markets are likely to be susceptible to oil price shocks. Using two different (weekly and monthly) datasets covering, respectively, the periods from June 7, 2005 to October 21, 2008, and from January 1996 to December 2007, our investigation shows that there is evidence for cointegration of oil prices and stock markets in GCC countries, while the SUR results indicate that oil price increases have a positive impact on stock prices, except in Saudi Arabia.

Mohamed El Hedi Arouri; Christophe Rault

2014-01-01T23:59:59.000Z

185

Speculative trading and oil price dynamic: A study of the WTI market  

Science Journals Connector (OSTI)

The aim of this paper is to study the oil price dynamic in West Texas Intermediate (WTI) market in the US. By using statistical and econometric tools, we first attempt to identify the long term relationship between WTI spot prices and the prices of futures contracts on the New York Mercantile Exchange (NYMEX). Subsequently we model the short term dynamic between these two prices and this analysis points up several breaks. On this basis, a short term Markov Switching Vectorial Error Correction model (MS-VECM) with two distinct states (standard state and crisis state) has been estimated. Finally we introduce the volumes of transactions observed on the NYMEX for the WTI contracts and we estimate the influence of the non-commercial players. We conclude that the hypothesis of an influence of non-commercial players on the probability for being in the crisis state cannot be rejected. In addition, we show that the rise in liquidity of the first financial contracts, as measured by the volume of open interest, is a key element to understand the dynamics in market prices.

Emmanuel Hache; Frédéric Lantz

2013-01-01T23:59:59.000Z

186

Electricity Market Module: Electricity finance and pricing submodule  

SciTech Connect

The purpose of this report is to document the updates to the Electricity Financial Pricing Module (EFP) to reflect the rate impacts of nuclear decommissioning. The EFP is part of the National Energy Modeling System (NEMS). The updates to the EFP related to nuclear decommissioning include both changes to the underlying data base and the methodology. Nuclear decommissioning refers to the activities performed to take a nuclear plant permanently out of service. The costs of nuclear decommissioning are substantial and uncertain. The recovery of these costs from ratepayers is to occur over the operating life of the nuclear plant. Utilities are obligated to make estimates of the nuclear decommissioning cost every few years. Given this estimate, utilities are to assess a charge upon ratepayers, such that over the operating life of the plant they collect sufficient funds to pay for the decommissioning. However, cost estimates for decommissioning have been increasing and it appears that utilities have not been collecting adequate funds to date. In addition, there is a real risk that many nuclear plants may be closed earlier than originally planned, further exacerbating the under collection problem. The updates performed in this project provide the EFP with the capability to analyze these issues. The remainder of this document is divided into two discussions: (1) Nuclear Decommissioning Data Base, and (2) Methodology. Appendix A contains the actual data base developed during the project.

NONE

1996-06-01T23:59:59.000Z

187

Mid-term electricity market clearing price forecasting: A hybrid LSSVM and ARMAX approach  

Science Journals Connector (OSTI)

Abstract A hybrid mid-term electricity market clearing price (MCP) forecasting model combining both least squares support vector machine (LSSVM) and auto-regressive moving average with external input (ARMAX) modules is presented in this paper. Mid-term electricity MCP forecasting has become essential for resources reallocation, maintenance scheduling, bilateral contracting, budgeting and planning purposes. Currently, there are many techniques available for short-term electricity market clearing price (MCP) forecasting, but very little has been done in the area of mid-term electricity MCP forecasting. PJM interconnection data have been utilized to illustrate the proposed model with numerical examples. The proposed hybrid model showed improved forecasting accuracy compared to a forecasting model using a single LSSVM.

Xing Yan; Nurul A. Chowdhury

2013-01-01T23:59:59.000Z

188

Price Differences in a Durable Products Secondary Market: A Hedonic Price Analysis  

E-Print Network (OSTI)

IrJRoFtino&GIryNiso88mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmBB LNNN PRICE DFN NSEDAUBPENAS A Disertaonby eRoebtrOL oNiieyoJrtH FyoUrM oO soSt Ib sFLaoyFbeu eoOry eoiso FU utomiF sFurLo SS DFyoisoJrtH Fomid torseomtuD oeuyDtuJusrFuisousoFU omtuJrtaoJrtH Fo n h...DrmuFrLoitoF DUsuDrLo .m tFuy odU soDiJmrt eoFios doDrtoe rL tyh kUuL oJrsaorFFtuObF yoiSoby eoebtrOL oJrtH FyYousDLbeusNoFU oby eoDrtoJrtH FYo yFuLLo .uyFoFieraYoFU ousF ts Foy JyoFioUrM oO NbsoFioDUrsN oFU oJrtH FoLrseyDrm hooAuF yo ybDUoryodddh Brah...

Fumasi, Roland J

2013-07-22T23:59:59.000Z

189

The impact of market structure on price determination : a simulation approach using multi-agent reinforcement learning in continuous state and action space  

E-Print Network (OSTI)

This thesis proposes a simulation tool to study the question of how market structure and market players' behavior affect price movements. The adaptive market simulation system consists of multiple agents and a centralized ...

Shu, Buliao

2014-01-01T23:59:59.000Z

190

Oil and stock market activity when prices go up and down: the case of the oil and gas industry  

Science Journals Connector (OSTI)

We examine the asymmetric effects of daily oil price changes on equity returns, market betas, oil betas, return variances, and trading volumes for the US oil and gas industry. The responses of stock returns assoc...

Sunil K. Mohanty; Aigbe Akhigbe…

2013-08-01T23:59:59.000Z

191

Cheese Prices  

E-Print Network (OSTI)

Cheese prices are derived from the USDA Agricultural Marketing Service Market News, the National Agricultural Statistics Service, and the Chicago Mercantile Exchange. This publication explains the process of cheese pricing. It includes information...

Schwart Jr., Robert B.; Anderson, David P.; Knutson, Ronald D.

2003-08-25T23:59:59.000Z

192

A Model of the Oil Prices' Return Rate Threshold for the Two Stock Market Returns: An Evidence Study of the U.S. and Canada's Stock Markets  

Science Journals Connector (OSTI)

The empirical results show that the dynamic conditional correlation (DCC) and the bivariate asymmetric-IGARCH (1, 1) model is appropriate in evaluating the relationship of the U.S. and the Canada’s stock markets. The empirical result also indicates ... Keywords: Stock market returns, oil price, asymmetric effect, GJR-GARCH model, bivariate asymmetric-GARCH model

Wann-Jyi Horng; Ju-Lan Tsai; Yung-Chin Chiu

2009-11-01T23:59:59.000Z

193

A new comprehensive model to simulate the restructured power market for seasonal price signals by considering on the wind resources  

Science Journals Connector (OSTI)

Generation expansion planning requires simulating the medium term power market. This can be done based on electricity price signals in the power market. The market clearing price is one of the most important factors to determine the incremental rate of private investor's profit. When calculating this parameter the planners encounter greater uncertainties in a restructured power market than in a centralized market. This can be critical when renewable energies participate in this type of electricity market. In this study the scenario based method is used to model a wind power plant in the restructured power market. The hourly output of the wind turbine generators is simulated based on a hybrid Auto Regressive and Moving Average-Monte Carlo method. Each scenario of the wind power plant as well as its occurrence probability is determined based on a data mining technique. Then a new comprehensive model for the restructured power market is proposed to maximize the profit of investors as well as to determine the market clearing price by considering stochastic and rational uncertainties. The stochastic uncertainties include the demand and fuel price that are modelled by using the Monte-Carlo method. The Nash equilibrium in the rational uncertainty as a strategic behaviour of players in the power market is determined by using the Cournot game. The effect of the CO2 tax rate and the bilateral contract are investigated in this study. Finally the model is implemented in a test power market. According to the findings this model can be used as a robust and comprehensive model to determine the market clearing price which can be applied for capacity expansion planning.

2014-01-01T23:59:59.000Z

194

The price fluctuations of the stock market display fascinating properties. The volatility is around one order of magnitude too large than what is predicted  

E-Print Network (OSTI)

Abstract The price fluctuations of the stock market display fascinating properties. The volatility decisions. We also study the price formation and the microstructure of financial markets, at the level of the order book which organizes transactions. We explain why the price is diffusive despite the fact

Paris-Sud XI, Université de

195

The market value of variable renewables: The effect of solar wind power variability on their relative price  

Science Journals Connector (OSTI)

Abstract This paper provides a comprehensive discussion of the market value of variable renewable energy (VRE). The inherent variability of wind speeds and solar radiation affects the price that VRE generators receive on the market (market value). During windy and sunny times the additional electricity supply reduces the prices. Because the drop is larger with more installed capacity, the market value of VRE falls with higher penetration rate. This study aims to develop a better understanding on how the market value with penetration, and how policies and prices affect the market value. Quantitative evidence is derived from a review of published studies, regression analysis of market data, and the calibrated model of the European electricity market EMMA. We find the value of wind power to fall from 110% of the average power price to 50–80% as wind penetration increases from zero to 30% of total electricity consumption. For solar power, similarly low value levels are reached already at 15% penetration. Hence, competitive large-scale renewable deployment will be more difficult to accomplish than as many anticipate.

Lion Hirth

2013-01-01T23:59:59.000Z

196

On the Allocative Efficiency of Competitive Prices in Economies with Incomplete Markets  

E-Print Network (OSTI)

Radner-GEI economy (an economy with incomplete markets and sequential trade), defines Allais-Malinvaud efficiency, and shows the Allais- Malinvaud efficiency of every equilibrium in a Radner-GEI economy. Section 5 defines a 6 Radner-GEI economy in which... for commodities in that subset alone, and not for commodities in the other subset.6 Prices for commodities in one subset cannot allocate commodities in the other subset, because they cannot reflect relative value of those commodities, so a more relevant measure...

Sabarwal, Tarun

2003-09-01T23:59:59.000Z

197

The Distributional and Environmental Effects of Time-Varying Prices in Competitive Electricity Markets  

E-Print Network (OSTI)

2 permits, and NOx permits. Coal prices are assumed constantfalling average price is stronger, and coal-?red operatinghourly supply (price > $30) Load Coal Oil Gas Panel C:

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

198

U.S. Residential Photovoltaic (PV) System Prices, Q4 2013 Benchmarks: Cash Purchase, Fair Market Value, and Prepaid Lease Transaction Prices  

SciTech Connect

The price of photovoltaic (PV) systems in the United States (i.e., the cost to the system owner) has dropped precipitously in recent years, led by substantial reductions in global PV module prices. This report provides a Q4 2013 update for residential PV systems, based on an objective methodology that closely approximates the book value of a PV system. Several cases are benchmarked to represent common variation in business models, labor rates, and module choice. We estimate a weighted-average cash purchase price of $3.29/W for modeled standard-efficiency, polycrystalline-silicon residential PV systems installed in the United States. This is a 46% decline from the 2013-dollar-adjusted price reported in the Q4 2010 benchmark report. In addition, this report frames the cash purchase price in the context of key price metrics relevant to the continually evolving landscape of third-party-owned PV systems by benchmarking the minimum sustainable lease price and the fair market value of residential PV systems.

Davidson, C.; James, T. L.; Margolis, R.; Fu, R.; Feldman, D.

2014-10-01T23:59:59.000Z

199

Property:SanyalTempWellhead | Open Energy Information  

Open Energy Info (EERE)

SanyalTempWellhead SanyalTempWellhead Jump to: navigation, search Property Name SanyalTempWellhead Property Type Page Description see Sanyal_Temperature_Classification Allows Values Extremely Low Temperature;Very Low Temperature;Low Temperature;Moderate Temperature;High Temperature;Ultra High Temperature;Steam Field Pages using the property "SanyalTempWellhead" Showing 25 pages using this property. A Amedee Geothermal Area + Extremely Low Temperature + B Beowawe Hot Springs Geothermal Area + Moderate Temperature + Blue Mountain Geothermal Area + Moderate Temperature + Brady Hot Springs Geothermal Area + Low Temperature + C Chena Geothermal Area + Extremely Low Temperature + Coso Geothermal Area + High Temperature + D Desert Peak Geothermal Area + Moderate Temperature +

200

Market-oriented ethanol and corn-trade policies can reduce climate-induced US corn price volatility  

Science Journals Connector (OSTI)

Agriculture is closely affected by climate. Over the past decade, biofuels have emerged as another important factor shaping the agricultural sector. We ask whether the presence of the US ethanol sector can play a role in moderating increases in US corn price variability, projected to occur in response to near-term global warming. Our findings suggest that the answer to this question depends heavily on the underlying forces shaping the ethanol industry. If mandate-driven, there is little doubt that the presence of the corn-ethanol sector will exacerbate price volatility. However, if market-driven, then the emergence of the corn-ethanol sector can be a double-edged sword for corn price volatility, possibly cushioning the impact of increased climate driven supply volatility, but also inheriting volatility from the newly integrated energy markets via crude oil price fluctuations. We find that empirically the former effect dominates, reducing price volatility by 27%. In contrast, mandates on ethanol production increase future price volatility by 54% in under future climate after 2020. We also consider the potential for liberalized international corn trade to cushion corn price volatility in the US. Our results suggest that allowing corn to move freely internationally serves to reduce the impact of near-term climate change on US corn price volatility by 8%.

Monika Verma; Thomas Hertel; Noah Diffenbaugh

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wellhead price marketed" 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

Volatility spillover effect of emerging markets and economic growth versus oil price volatility : the case of the Gulf Co-operation Council countries.  

E-Print Network (OSTI)

??The relationship between stock markets returns, economic growth and oil price volatility has been an issue of considerable debate. While there are many studies showing… (more)

Fayyad, Abdallah

2013-01-01T23:59:59.000Z

202

Estimating Large-Customer Demand Response Market Potential: Integrating Price and Customer Behavior  

E-Print Network (OSTI)

of price response (price elasticity of demand, substitutionprice elasticity of demand was used to characterize customer response,

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

203

No-Arbitrage Pricing for Dividend-Paying Securities in Discrete-Time Markets with Transaction Costs  

E-Print Network (OSTI)

We prove a version of First Fundamental Theorem of Asset Pricing under transaction costs for discrete-time markets with dividend-paying securities. Specifically, we show that the no-arbitrage condition under the efficient friction assumption is equivalent to the existence of a risk-neutral measure. We derive dual representations for the superhedging ask and subhedging bid price processes of a derivative contract. Our results are illustrated with a vanilla credit default swap contract.

Bielecki, Tomasz R; Rodriguez, Rodrigo

2012-01-01T23:59:59.000Z

204

Are unleaded gasoline and diesel price adjustments symmetric? A comparison of the four largest EU retail fuel markets  

Science Journals Connector (OSTI)

Abstract The purpose of this paper is to examine the nature of price adjustments in the gasoline markets of Germany, France, Italy and Spain. We examine whether crude oil prices are transmitted to the retail gasoline prices in the short and long run and we test the symmetry of price adjustments hypothesis. An Error Correction Model, which accounts for possible asymmetric adjustment behavior, is applied for the estimation of the international crude oil price pass-through and testing of the symmetric/asymmetric nature of the retail fuel price adjustments in these economies. Our results show that rigidities in the transmission process exist but the retail fuel speed of upward/downward price adjustment to equilibrium is considered as symmetric in all four economies analyzed. Thus, our findings on the whole do not provide firm evidence to support the “rockets and feathers” hypothesis that crude oil price increases are passed along to the retail customer more fully than the crude oil price decreases.

Stelios Karagiannis; Yannis Panagopoulos; Prodromos Vlamis

2014-01-01T23:59:59.000Z

205

Improved one day-ahead price forecasting using combined time series and artificial neural network models for the electricity market  

Science Journals Connector (OSTI)

The price forecasts embody crucial information for generators when planning bidding strategies to maximise profits. Therefore, generation companies need accurate price forecasting tools. Comparison of neural network and auto regressive integrated moving average (ARIMA) models to forecast commodity prices in previous researches showed that the artificial neural network (ANN) forecasts were considerably more accurate than traditional ARIMA models. This paper provides an accurate and efficient tool for short-term price forecasting based on the combination of ANN and ARIMA. Firstly, input variables for ANN are determined by time series analysis. This model relates the current prices to the values of past prices. Secondly, ANN is used for one day-ahead price forecasting. A three-layered feed-forward neural network algorithm is used for forecasting next-day electricity prices. The ANN model is then trained and tested using data from electricity market of Iran. According to previous studies, in the case of neural networks and ARIMA models, historical demand data do not significantly improve predictions. The results show that the combined ANNâ??ARIMA forecasts prices with high accuracy for short-term periods. Also, it is shown that policy-making strategies would be enhanced due to increased precision and reliability.

Ali Azadeh; Seyed Farid Ghaderi; Behnaz Pourvalikhan Nokhandan; Shima Nassiri

2011-01-01T23:59:59.000Z

206

The bridge across is better known as Marketing. The process of turning your ideas into products, finding the right price for the product, getting it  

E-Print Network (OSTI)

The bridge across is better known as Marketing. The process of turning your ideas into products, finding the right price for the product, getting it to the market, and communicating your product's benefits to your customers ­ that is Marketing. At its core, marketing is about giving the customer what

Habib, Ayman

207

Price regulation for waste hauling franchises in California: an examination of how regulators regulate pricing and the effects of competition on regulated markets  

E-Print Network (OSTI)

Thomadakis, Stavros. “Price Regulation Under Uncertainty in698. Bös, Dieter. Pricing and Price Regulation. Elsevier.Optimal Structure of Public Prices. ” The American Economic

Seltzer, Steven A.

2011-01-01T23:59:59.000Z

208

The Impact of Variable Market Price on Optimal Control of Wind-Hydro Storage System in Kenya  

Science Journals Connector (OSTI)

The Lake Turkana Wind Power Project (LTWP) in Northern Kenya is currently under development, scheduled to bring 300MW of wind generation online by the end of 2016. The economic issues raised by the structure of the Kenyan electricity market include a ... Keywords: Wind Power, Developing Countries, Electricity Pricing

Maureen Murage; Judith B. Cardell; June Lukuyu; C. Lindsay Anderson

2014-01-01T23:59:59.000Z

209

World Food Crisis: Imperfect Markets Starving Development, A Decomposition of Recent Food Price Increases.  

E-Print Network (OSTI)

??The recent decade has experienced two rather substantial food price spikes. This thesis sets out to provide an in-depth look at the recent food price… (more)

Costello, Christine

2011-01-01T23:59:59.000Z

210

10/02/2007 07:40 PMStock market news and prices Page 1 of 3http://markets.chron.com/chron?ChannelID=3206&GUID=3074055&Page=MediaViewer  

E-Print Network (OSTI)

10/02/2007 07:40 PMStock market news and prices Page 1 of 3http 2747.11 S&P 500 1546.63 OIL 45.50 Presence Of Essential Molecule In Space Could Support Life On Other & Public Notices #12;10/02/2007 07:40 PMStock market news and prices Page 2 of 3http

Glaser, Rainer

211

Wellhead Protection Area Act (Nebraska) | Department of Energy  

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

Wellhead Protection Area Act (Nebraska) Wellhead Protection Area Act (Nebraska) Wellhead Protection Area Act (Nebraska) < 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 Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Wind Program Info State Nebraska Program Type Environmental Regulations Provider Nebraska Department of Environmental Quality This section regulates activities which can occur on or below the land

212

Modelling locational price spreads in competitive electricity markets; applications for transmission rights valuation and replication  

Science Journals Connector (OSTI)

......price of fuel (oil, gas, and coal...feeds into the price of electricity...the emergence of heating and cooling degree...locational power price risk. Changes...derivatives (heating and cooling degree...supply side, the price of fuel for power...Futures contracts on oil and gas, both......

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

213

Average Price of Natural Gas Production  

Gasoline and Diesel Fuel Update (EIA)

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

214

Effect of Oil Price Volatility on Tunisian Stock Market at Sector-level and Effectiveness of Hedging Strategy  

Science Journals Connector (OSTI)

Abstract In this work, our objective is to study in a first step links and interaction between oil and stock markets in Tunisia in terms of volatility at the sector-level, and then in a second step to determine the best hedging strategy for oil-stock portfolio against the risk of negative variation in stock market prices. Our methodology consist to model the data by a bivariate GARCH model to capture the effect in terms of volatility in the variation of the oil price on the different sector index, and to use the conditional variances and conditional correlation to calculate the hedging ratio and determinate the best hedging strategy. The empirical results indicate that the majority of relationships are unidirectional from the oil market to Tunisian stock market, and the conditional variance of a stock sector returns is affected not only by the volatility surprises of the stock market, but also by those of oil market. The model GARCH-BEKK is more effective than the others versions to minimize the risk of oil-stock portfolio.

Wajdi Hamma; Anis Jarboui; Ahmed Ghorbel

2014-01-01T23:59:59.000Z

215

10.1177/0092070304267108 ARTICLEJOURNAL OF THE ACADEMY OF MARKETING SCIENCE WINTER 2005Fibich et al. / PRICE ELASTICITY OF DEMAND The Dynamics of Price Elasticity  

E-Print Network (OSTI)

. / PRICE ELASTICITY OF DEMAND The Dynamics of Price Elasticity of Demand in the Presence of Reference Price derive an expression for the price elasticity of demand in the presence of reference price effects. The effectof reference price is most noticeable immediately after a price change, before consumers have had

Fibich, Gadi

216

Electricity price forecasting in a grid environment.  

E-Print Network (OSTI)

??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate… (more)

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

217

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

E-Print Network (OSTI)

Thus, input demands and price response elasticities can beelasticity is a very specific characterization of electricity demand and price responseprice elasticity, which measures the reduction in demand in response

2005-01-01T23:59:59.000Z

218

Competition and price asymmetries in the Greek oil sector: an empirical analysis on gasoline market  

Science Journals Connector (OSTI)

This article attempts to investigate the issue of asymmetries in the transmission of shocks to input prices and exchange rate onto the wholesale and retail price of gasoline respectively. For this purpose, we ...

Michael L. Polemis

2012-10-01T23:59:59.000Z

219

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network (OSTI)

focus on the important role of other energy prices and fundamental factors in setting the power price sources, the main production process remains the conversion of fossil fuels like coal, gas and oil. Since

Carmona, Rene

220

A MODEL FOR HEDGING LOAD AND PRICE RISK IN THE TEXAS ELECTRICITY MARKET  

E-Print Network (OSTI)

results. In particular, we include as state variables the key factors which drive electricity prices, such as fuel price (natural gas in particular), load itself, and a proxy for capacity available. We express stochastic factors including the load process, our power price model allows for the calculation of closed

Powell, Warren B.

Note: This page contains sample records for the topic "wellhead price marketed" 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

The Effect Of Technology on Energy Pricing In A Competitive Energy Market  

Science Journals Connector (OSTI)

Three types of market power threaten effective electric competition: vertical, horizontal and the cartel-like market power of a group of market participants, generators, imposed on another group, ... to a wealth ...

Chris King

2000-01-01T23:59:59.000Z

222

The level crossing analysis of German stock market index (DAX) and daily oil price time series  

E-Print Network (OSTI)

The level crossing analysis of DAX and oil price time series are given. We determine the average frequency of positive-slope crossings, $\

Shayeganfar, F; Peinke, J; Tabar, M Reza Rahimi

2010-01-01T23:59:59.000Z

223

Optimal Capacity Investment, and Pricing Across International Markets Under Exchange Rate Uncertainty and Duopoly Competition.  

E-Print Network (OSTI)

??In this dissertation we investigate joint optimal capacity investment, pricing and production decisions for a multinational manufacturer who faces exchange rate uncertainties. We consider a… (more)

Ahmed, Anas A.

2010-01-01T23:59:59.000Z

224

Alabama Underground Storage Tank And Wellhead Protection Act (Alabama) |  

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

Alabama Underground Storage Tank And Wellhead Protection Act Alabama Underground Storage Tank And Wellhead Protection Act (Alabama) Alabama Underground Storage Tank And Wellhead Protection Act (Alabama) < Back Eligibility Commercial Construction Industrial Municipal/Public Utility Savings Category Buying & Making Electricity Water Home Weatherization Program Info State Alabama Program Type Environmental Regulations The department, acting through the commission, is authorized to promulgate rules and regulations governing underground storage tanks and is authorized to seek the approval of the United States Environmental Protection Agency to operate the state underground storage tank program in lieu of the federal program. In addition to specific authorities provided by this chapter, the department is authorized, acting through the commission, to

225

Testing for price response asymmetries in the Spanish fuel market. New evidence from daily data  

Science Journals Connector (OSTI)

In this work we use daily data to examine pattern asymmetries in the speed of transmission of international wholesale oil prices to Spanish retail fuel prices. Results are robust to two alternative specifications of an asymmetric error correction model, for which the presence of autoregressive conditional heteroskedasticity for disturbances is modeled by a GARCH(1,1) process. Evidence indicates that the short-term transmission of wholesale prices to retail prices is quite symmetric for both gasoline and diesel fuel. Nevertheless, in contrast to some of the results provided for an earlier period, we did not find asymmetries in the speed of retail price responses toward long-run equilibrium. Our evidence also suggests that the use of weekly (or lower frequency) data is one of the possible explanations for some of the seemingly contradictory results concerning this issue.

Jacint Balaguer; Jordi Ripollés

2012-01-01T23:59:59.000Z

226

Multi-objective Optimization for Pricing System Security in Electricity Markets  

E-Print Network (OSTI)

or hybrid markets, how to properly include system security is still an open question. This paper mainly focuses on hybrid markets and on the inclusion of proper security constraints through the use of a multi

Cañizares, Claudio A.

227

The relationship between oil prices and the Nigerian stock market. An analysis based on fractional integration and cointegration  

Science Journals Connector (OSTI)

Abstract We examine the relationship between oil prices and the stock market in Nigeria. We focus on the degree of persistence of the series, and based on the similarities observed between the two series, a fractionally cointegrated framework is proposed. The results indicate that the two series display a similar order of integration, which is close to, although above 1. Testing for cointegration, this is decisively rejected since the order of integration in the equilibrium relationship was similar to that of the individual series. However, testing for long memory with oil prices acting as a weakly exogenous regressor, we obtained significant evidence of a positive relationship between the two variables though with a short memory effect, this relation being significant only during the following three months.

Luis A. Gil-Alana; OlaOluwa S. Yaya

2014-01-01T23:59:59.000Z

228

Influence of oil prices on stock market indexes in Russia and Norway  

Science Journals Connector (OSTI)

The effects of oil price dynamics on share quotations are discussed in ... paper for the 2000–2012 period for two oil exporting countries—Russia and Norway. It has ... , that, in spite of intuitive expectations,

I. A. Kopytin

2014-01-01T23:59:59.000Z

229

Montana Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.72 7.50 3.16 3.64 1967-2010 Imports Price 6.66 8.22 3.88 4.13 3.75 2.45 1989-2012 Exports Price 6.16 8.14 3.63 4.05 3.82 2.40 1989-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 6.42 7.71 5.63 5.17 5.11 4.23 1984-2012 Residential Price 9.91 11.45 9.50 8.64 8.80 8.06 1967-2012 Percentage of Total Residential Deliveries included in Prices 99.9 99.9 99.8 99.8 99.8 99.8 1989-2012 Commercial Price 9.76 11.32 9.41 8.54 8.66 7.98 1967-2012 Percentage of Total Commercial Deliveries included in Prices 78.5 79.6 49.2 54.6 53.3 52.9 1990-2012 Industrial Price 9.75 11.04 9.06 8.07 8.13 7.54 1997-2012 Percentage of Total Industrial Deliveries included in Prices

230

Louisiana Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 7.02 8.73 3.82 4.23 1967-2010 Imports Price 6.98 9.76 3.89 4.84 7.57 7.98 1989-2012 Exports Price -- -- -- 7.07 9.63 11.80 2007-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.22 9.58 5.96 5.43 5.67 3.48 1984-2012 Residential Price 14.20 15.49 13.15 11.73 11.37 11.54 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 11.83 13.52 10.46 9.88 9.36 8.44 1967-2012 Percentage of Total Commercial Deliveries included in Prices 98.0 98.4 92.0 85.9 83.6 78.0 1990-2012 Industrial Price 7.08 9.32 4.31 4.68 4.25 2.96 1997-2012 Percentage of Total Industrial Deliveries included in Prices

231

Nebraska Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 4.86 6.22 2.97 3.98 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.67 8.12 5.87 5.62 5.11 4.31 1984-2012 Residential Price 11.15 11.11 9.34 8.95 8.84 8.68 1967-2012 Percentage of Total Residential Deliveries included in Prices 85.7 87.1 87.8 87.4 87.3 85.8 1989-2012 Commercial Price 9.16 9.62 7.44 7.08 6.69 6.19 1967-2012 Percentage of Total Commercial Deliveries included in Prices 63.9 57.5 61.3 60.6 60.6 55.8 1990-2012 Industrial Price 7.97 9.12 6.02 5.85 5.61 4.34 1997-2012 Percentage of Total Industrial Deliveries included in Prices 9.7 10.2 8.9 8.2 7.6 6.8 1997-2012 Vehicle Fuel Price 15.10 15.29 1994-2012 Electric Power Price

232

Alaska Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Alaska Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Alaska Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Alaska Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 211,569 211,579 222,637 304,841 271,120 228,284 192,760 1990's 191,798 200,557 206,259 224,786 201,891 227,797 193,278 191,017 192,982 186,727 2000's 189,896 197,735 200,871 199,616 413,667 502,887 494,323 368,344 337,359 397,077 2010's 316,546 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

233

Alabama Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Alabama Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Alabama Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Alabama Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 59,051 56,685 42,925 34,164 35,674 45,488 41,614 1990's 37,229 35,972 51,219 75,474 70,489 54,964 493,069 583,370 560,414 544,020 2000's 521,215 376,241 370,753 348,722 304,212 285,237 274,176 259,062 246,747 225,666 2010's 212,769 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

234

Montana Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Montana Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 47,751 47,534 46,113 42,203 42,814 47,748 52,044 1990's 45,998 48,075 50,359 58,810 51,953 46,739 46,868 50,409 51,967 55,780 2000's 67,294 78,493 86,075 86,027 90,771 101,666 106,843 110,942 802,619 293,941 2010's 87,539 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

235

North Dakota Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) North Dakota Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 69,319 60,111 62,371 58,593 51,671 21,240 12,290 1990's 11,537 5,138 3,994 4,420 0 0 0 52,401 53,185 52,862 2000's 48,714 57,949 57,015 57,808 59,513 57,972 53,675 54,745 52,469 59,369 2010's 81,837 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

236

California Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) California Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 282,639 343,079 361,739 329,366 346,720 327,399 283,509 1990's 275,738 211,841 195,515 76,381 199,649 263 37,823 219,216 264,810 382,715 2000's 323,864 328,778 309,399 293,691 276,520 274,817 278,933 268,016 263,107 241,916 2010's 251,559 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

237

Mississippi Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Mississippi Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 211,116 206,871 178,426 197,217 195,299 196,912 148,167 1990's 149,012 126,637 129,340 131,450 105,646 95,349 88,805 98,075 88,723 83,232 2000's 70,965 76,986 112,979 133,901 145,692 52,923 60,531 73,460 96,641 97,258 2010's 73,721 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

238

Colorado Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Colorado Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 139,820 143,552 126,037 163,684 164,557 191,544 216,737 1990's 242,997 271,159 314,105 388,016 441,343 511,513 559,473 637,375 696,321 705,477 2000's 735,332 800,712 819,205 989,678 1,058,383 1,106,993 1,170,819 1,280,638 1,436,203 1,409,172 2010's 1,548,576 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

239

Michigan Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Michigan Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 138,910 144,537 131,855 127,287 146,996 146,145 155,988 1990's 106,193 189,497 190,637 199,746 216,268 238,203 245,740 305,950 278,076 277,364 2000's 296,556 275,036 274,476 236,987 259,681 261,112 NA NA 153,130 159,400 2010's 151,886 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

240

Arkansas Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Arkansas Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 78,097 75,575 86,552 68,206 42,688 102,046 42,226 1990's 99,456 83,864 85,177 122,596 24,326 180,117 76,671 71,449 61,012 54,382 2000's 55,057 16,901 161,871 166,329 183,299 190,533 193,491 269,886 446,551 680,613 2010's 936,600 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

Note: This page contains sample records for the topic "wellhead price marketed" 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

Kentucky Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Kentucky Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 46,720 61,518 73,126 80,195 70,125 44,725 72,417 1990's 75,333 78,904 79,690 86,966 73,081 74,754 81,435 79,547 81,868 76,770 2000's 81,545 81,723 88,259 87,609 94,259 92,795 95,320 95,437 114,116 NA 2010's 135,355 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

242

Ohio Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Ohio Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 149,096 184,651 180,458 180,287 164,960 166,690 159,730 1990's 154,619 146,189 143,381 135,939 130,855 125,085 119,251 116,246 108,542 102,505 2000's 98,551 97,272 103,158 120,081 119,847 83,523 86,315 88,095 84,858 88,824 2010's 78,122 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

243

New York Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) New York Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 17,836 25,200 31,561 22,964 25,676 23,455 20,433 1990's 25,023 21,704 22,543 20,620 19,684 17,325 0 15,415 15,415 15,426 2000's 17,166 27,187 35,941 35,044 45,436 54,377 55,344 54,942 50,320 44,849 2010's 35,241 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Quantity of Natural Gas Production Associated with Reported Wellhead

244

CONSUMER PERCEPTIONS OF GREEN CAUSE-RELATED MARKETING (CRM) PRICE FAIRNESS.  

E-Print Network (OSTI)

??Many firms employ Cause-Related Marketing (CRM) strategies that link product sales to the support of a charity to generate positive brand images. The global objective… (more)

Kim, Eun Kyoo

2011-01-01T23:59:59.000Z

245

Estimating Large-Customer Demand Response Market Potential: Integrating Price and Customer Behavior  

E-Print Network (OSTI)

Estimating Large-Customer Demand Response Market Potential:Syracuse, NY ABSTRACT Demand response (DR) is increasinglyestimated. Introduction Demand response (DR) is increasingly

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

246

Maryland Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price NA NA NA NA 1967-2010 Imports Price 7.25 9.09 4.05 5.37 5.30 13.82 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.24 10.23 8.02 6.49 6.26 5.67 1984-2012 Residential Price 15.17 16.07 13.73 12.44 12.10 12.17 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 79.3 77.0 1989-2012 Commercial Price 12.30 13.12 10.87 9.87 10.29 10.00 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 27.3 24.7 1990-2012 Industrial Price 11.59 13.46 10.70 9.05 8.61 8.01 1997-2012 Percentage of Total Industrial Deliveries included in Prices 7.8 6.3 5.3 5.3 5.5 5.1 1997-2012

247

Alabama Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 7.44 9.65 4.32 4.46 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.78 9.84 7.61 6.46 5.80 5.18 1984-2012 Residential Price 18.14 18.30 18.12 15.79 15.08 16.20 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 15.06 15.58 14.94 13.34 12.36 12.55 1967-2012 Percentage of Total Commercial Deliveries included in Prices 79.8 80.2 78.8 79.3 78.9 76.2 1990-2012 Industrial Price 8.70 10.57 6.48 6.64 5.57 4.35 1997-2012 Percentage of Total Industrial Deliveries included in Prices 24.0 27.2 27.9 23.7 23.5 22.1 1997-2012 Vehicle Fuel Price -- 17.32 19.17 16.24 11.45 17.99 1990-2012

248

Pennsylvania Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price NA NA NA NA 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.35 10.39 7.81 7.04 6.28 5.52 1984-2012 Residential Price 14.66 16.22 14.74 12.90 12.46 11.99 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 91.2 88.6 1989-2012 Commercial Price 12.77 14.29 11.83 10.47 10.42 10.24 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 48.5 42.1 1990-2012 Industrial Price 10.64 12.09 9.19 8.23 9.86 9.58 1997-2012 Percentage of Total Industrial Deliveries included in Prices 5.4 5.7 4.5 3.8 2.0 1.3 1997-2012 Vehicle Fuel Price 10.83 8.30 5.15 3.76 3.40 7.96 1990-2012

249

Indiana Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.78 7.58 4.05 4.13 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.83 8.94 5.59 5.52 4.97 4.23 1984-2012 Residential Price 11.29 12.65 10.81 8.63 9.46 8.94 1967-2012 Percentage of Total Residential Deliveries included in Prices 96.2 95.0 93.6 94.1 94.6 94.5 1989-2012 Commercial Price 10.20 11.14 9.18 7.55 8.04 7.68 1967-2012 Percentage of Total Commercial Deliveries included in Prices 78.1 77.9 73.9 72.5 70.2 67.5 1990-2012 Industrial Price 8.45 10.48 6.91 5.65 6.53 6.19 1997-2012 Percentage of Total Industrial Deliveries included in Prices 7.4 6.7 7.0 5.6 3.5 1.9 1997-2012 Vehicle Fuel Price 6.09 7.94 4.08 5.19 13.24 12.29 1990-2012

250

Florida Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price NA NA NA NA 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.97 9.73 5.76 5.49 5.07 3.93 1984-2012 Residential Price 20.61 21.07 20.18 17.89 18.16 18.31 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 98.0 97.7 1989-2012 Commercial Price 13.07 14.45 11.09 10.60 11.14 10.41 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 38.5 37.0 1990-2012 Industrial Price 10.56 11.72 9.41 8.33 8.07 6.96 1997-2012 Percentage of Total Industrial Deliveries included in Prices 3.1 3.0 3.2 3.0 3.0 2.7 1997-2012 Vehicle Fuel Price 12.82 15.56 13.16 17.98 5.56 9.83 1989-2012

251

Oregon Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.27 5.33 4.00 4.92 1979-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.14 8.82 7.79 6.78 5.84 5.21 1984-2012 Residential Price 14.65 13.89 14.52 12.49 11.76 11.22 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.36 11.57 11.86 10.10 9.60 8.91 1967-2012 Percentage of Total Commercial Deliveries included in Prices 98.5 98.5 98.4 97.4 97.4 96.9 1990-2012 Industrial Price 9.30 9.07 9.70 7.05 6.84 5.87 1997-2012 Percentage of Total Industrial Deliveries included in Prices 21.8 20.1 18.9 17.1 17.1 16.7 1997-2012 Vehicle Fuel Price 6.59 8.03 7.11 5.61 4.23 4.57 1992-2012

252

Arizona Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.98 7.09 3.19 4.11 1967-2010 Exports Price 6.94 8.09 3.79 4.57 4.28 3.07 1989-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.25 8.49 7.21 6.59 5.91 4.68 1984-2012 Residential Price 17.21 17.60 17.65 15.87 15.04 15.75 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.84 13.01 12.15 10.72 9.99 9.35 1967-2012 Percentage of Total Commercial Deliveries included in Prices 93.4 93.1 88.0 88.7 87.8 86.6 1990-2012 Industrial Price 10.49 10.47 8.19 7.54 6.86 5.78 1997-2012 Percentage of Total Industrial Deliveries included in Prices 31.3 29.6 29.1 25.5 24.2 21.4 1997-2012

253

Colorado Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 4.57 6.94 3.21 3.96 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 6.23 6.98 5.09 5.26 4.94 4.26 1984-2012 Residential Price 8.84 9.77 8.80 8.13 8.25 8.31 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 8.10 9.01 7.56 7.58 7.84 7.58 1967-2012 Percentage of Total Commercial Deliveries included in Prices 95.7 95.2 94.8 94.6 93.8 92.2 1990-2012 Industrial Price 7.21 8.76 6.57 5.84 6.42 5.79 1997-2012 Percentage of Total Industrial Deliveries included in Prices 0.5 0.6 0.5 5.2 7.5 6.8 1997-2012 Vehicle Fuel Price 8.72 13.57 9.12 10.79 9.56 11.65 1990-2012

254

Alaska Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.63 7.39 2.93 3.17 1967-2010 Exports Price 6.21 7.69 8.59 12.19 12.88 15.71 1989-2012 Pipeline and Distribution Use Price 1970-2005 Citygate Price 6.75 6.74 8.22 6.67 6.53 6.14 1988-2012 Residential Price 8.68 8.72 10.23 8.89 8.77 8.47 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 7.57 8.66 9.51 8.78 8.09 8.09 1967-2012 Percentage of Total Commercial Deliveries included in Prices 76.0 74.9 85.3 87.7 88.6 94.9 1990-2012 Industrial Price 4.67 5.49 4.02 4.23 3.84 5.11 1997-2012 Percentage of Total Industrial Deliveries included in Prices 70.0 78.2 72.5 70.5 60.8 100.0 1997-2012

255

Kansas Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.69 6.85 3.16 4.23 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.27 8.85 6.12 6.08 5.53 4.74 1984-2012 Residential Price 12.97 13.00 11.10 10.61 9.93 10.13 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.04 12.24 10.01 9.65 8.89 8.82 1967-2012 Percentage of Total Commercial Deliveries included in Prices 64.8 64.9 65.7 66.0 62.6 59.7 1990-2012 Industrial Price 7.17 9.42 4.59 5.49 5.28 3.95 1997-2012 Percentage of Total Industrial Deliveries included in Prices 5.9 7.8 6.7 7.0 9.5 8.8 1997-2012 Vehicle Fuel Price -- -- -- -- 9.87 9.00 1994-2012

256

Missouri Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 1967-1997 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.53 8.03 7.06 6.17 5.85 5.27 1984-2012 Residential Price 13.42 13.36 12.61 11.66 12.02 12.25 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 11.82 12.02 10.81 10.28 9.99 9.54 1967-2012 Percentage of Total Commercial Deliveries included in Prices 76.9 77.5 76.7 76.5 73.1 69.2 1990-2012 Industrial Price 10.84 11.32 9.55 8.70 8.54 7.93 1997-2012 Percentage of Total Industrial Deliveries included in Prices 12.8 13.9 13.2 13.1 13.4 12.5 1997-2012 Vehicle Fuel Price 8.44 8.66 7.86 6.34 6.11 5.64 1994-2012

257

Arkansas Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 6.61 8.72 3.43 3.84 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.55 8.88 7.86 6.76 6.27 5.36 1984-2012 Residential Price 13.08 14.09 13.39 11.53 11.46 11.82 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 10.07 11.32 10.72 8.89 8.90 7.99 1967-2012 Percentage of Total Commercial Deliveries included in Prices 70.4 64.5 59.4 55.6 51.5 40.2 1990-2012 Industrial Price 9.51 10.56 8.44 7.28 7.44 6.38 1997-2012 Percentage of Total Industrial Deliveries included in Prices 4.2 3.9 3.7 2.8 2.1 1.9 1997-2012 Vehicle Fuel Price 8.39 -- -- -- -- 9.04 1994-2012

258

How psychological framing affects economic market prices in the lab and field  

Science Journals Connector (OSTI)

...Markets on political events were...association between risk taking and judgment...hypothetical insurance policies...prediction such as political polls, there...value-at-risk quantile. Deviations...experimental political stock market...distortions, and insurance decisions . J Risk Uncertain 7...

Ulrich Sonnemann; Colin F. Camerer; Craig R. Fox; Thomas Langer

2013-01-01T23:59:59.000Z

259

Reforming Household Energy Markets: Some Welfare Effects in the United Catherine Waddams Price  

E-Print Network (OSTI)

Reforming Household Energy Markets: Some Welfare Effects in the United Kingdom by Catherine Waddams remain vulnerable. The implications of these findings for the future of energy markets both in the UK This paper summarises some early effects of deregulating the UK energy sector, focusing on the effects

Feigon, Brooke

260

ZONAL PRICING AND DEMAND-SIDE BIDDING IN THE NORWEGIAN ELECTRICITY MARKET  

E-Print Network (OSTI)

of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy. University of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www-ahead electricity market in Norway. We consider the hypothesis that generators are better able to exercise market

California at Berkeley. University of

Note: This page contains sample records for the topic "wellhead price marketed" 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

Three Essays on Price Dynamics and Causations among Energy Markets and Macroeconomic Information  

E-Print Network (OSTI)

of within-sample-fit. The result supports innovation accounting analysis based on DAGs using residuals of out-of-sample-forecast. Second, we look at the effects of the federal fund rate and/or WTI crude oil price shock on US macroeconomic and financial...

Hong, Sung Wook 1977-

2012-09-20T23:59:59.000Z

262

Using market-based dispatching with environmental price signals to reduce emissions and  

Science Journals Connector (OSTI)

The possibility of using electricity dispatching strategies to achieve a 50% nitrogen oxide (NOx) emission reduction from electricity generating units was examined using the grid of the Electricity Reliability Council of Texas as a case study. Simulations of a hypothetical policy demonstrate that imposing higher NOx prices induces a switch from some coal-fired generation to natural gas generation, lowering NOx emissions. The simulation is for a day with relatively high electricity demand and accounts for transmission constraints. In addition to the lowering of the NOx emissions, there are co-benefits of the redispatching of generation from coal to natural gas, including reductions in the emissions of sulfur oxides (24%–71%), Hg (16%–82%) and CO2 (8.8%–22%). Water consumption was also decreased, by 4.4%–8.7%. Substantial reductions of NOx emissions can be achieved for an increased generation cost of 4–13%, which is due to the higher fuel price of gas relative to coal (assuming a price of $3.87 per MMBTU (MMBTU: million British thermal units) for natural gas, and $1.89 per MMBTU for coal). However, once the system has reduced NOx emissions by approximately 50%, there is little incremental reduction in emissions due to further increases in NOx prices.

Nawaf S Alhajeri; Pearl Donohoo; Ashlynn S Stillwell; Carey W King; Mort D Webster; Michael E Webber; David T Allen

2011-01-01T23:59:59.000Z

263

Modelling locational price spreads in competitive electricity markets; applications for transmission rights valuation and replication  

Science Journals Connector (OSTI)

......to recover the fixed cost of investing in the line...Finally, the nature of the production and consumption of electricity...price of fuel (oil, gas, and coal) is a major...component in determining the cost of production, and thus naturally......

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

264

The European carbon market (2005-2007): banking, pricing and risk-hedging strategies  

E-Print Network (OSTI)

. Keywords: Climate Change Policy; Emissions Trading; EU ETS; European carbon market; Banking Borrowing2010 #12;2 1 Introduction The European Union Emissions Trading Scheme (EU ETS) has been created

Paris-Sud XI, Université de

265

Modelling futures price volatility in energy markets: Is there a role for financial speculation?  

Science Journals Connector (OSTI)

Abstract This paper models volatility in four energy futures markets, adopting GARCH models. The variance equation is enriched with alternative measures of speculation, based on CFTC data: the market share of non-commercial traders, the Working's T index, and the percentage of net long positions of non-commercials over total open interest in future markets. It also includes a control for market liquidity. We consider four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) over the period 2000–2014, analysed at weekly frequency. We find that speculation presents a negative and significant sign. The robustness exercise shows that: i) results remain unchanged through different model specifications (GARCH-in-mean, EGARCH, and TARCH); ii) results are robust to different specifications of the mean and variance equation.

Matteo Manera; Marcella Nicolini; Ilaria Vignati

2014-01-01T23:59:59.000Z

266

New Mexico Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) New Mexico Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 884,517 925,298 880,307 676,886 790,639 752,629 833,593 1990's 949,735 1,029,824 1,274,220 1,489,052 1,510,804 1,480,327 1,553,103 1,540,157 1,483,370 1,511,671 2000's 1,685,664 1,670,644 1,614,045 1,576,639 1,578,773 1,571,920 1,562,754 1,495,615 895,675 1,370,727 2010's 1,287,399 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014

267

Oklahoma Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Oklahoma Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,730,061 1,985,869 1,936,341 1,917,493 2,004,797 2,106,632 2,185,204 1990's 2,186,153 2,119,161 1,937,224 2,005,971 1,879,257 1,765,788 1,751,487 1,452,233 1,644,531 1,577,961 2000's 1,612,890 1,477,058 1,456,375 1,531,657 1,584,905 1,571,615 1,683,563 1,589,871 1,765,988 1,621,316 2010's 1,408,061 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014

268

Texas Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Texas Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6,227,995 6,630,246 6,367,936 6,465,964 6,414,021 6,386,544 6,276,968 1990's 6,476,032 6,066,256 5,893,069 5,769,437 5,834,671 5,592,323 4,684,140 4,716,304 4,777,945 5,719,128 2000's 5,869,901 5,159,233 5,166,315 5,186,213 5,271,306 5,539,052 5,993,702 6,454,249 7,483,842 7,623,747 2010's 7,470,752 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014

269

Louisiana Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Louisiana Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,149,192 3,650,412 3,179,306 2,986,468 3,243,795 3,158,903 3,066,789 1990's 3,780,551 3,355,867 3,404,963 3,454,646 3,562,360 3,709,015 3,976,305 5,398,216 5,410,523 5,265,670 2000's 3,587,815 1,529,733 1,365,925 1,350,399 1,357,366 1,296,048 1,361,119 1,275,806 1,292,478 1,449,809 2010's 2,140,525 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014

270

Wyoming Quantity of Production Associated with Reported Wellhead Value  

Gasoline and Diesel Fuel Update (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Wyoming Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 395,656 447,615 416,565 352,858 407,863 471,095 623,915 1990's 690,356 711,799 765,254 63,667 14,283 12,449 27,821 719,933 1,004,020 1,079,375 2000's 1,240,038 1,359,868 1,533,724 1,561,322 1,724,725 1,729,760 1,811,992 1,916,238 2,116,818 2,239,778 2010's 2,318,486 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages:

271

Petroleum Marketing Monthly  

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

Crude oil prices U.S. Energy Information Administration | Petroleum Marketing Monthly 3 December 2014...

272

Developing a Marketing Plan  

E-Print Network (OSTI)

Developing a good marketing plan will help you identify and quantify costs, set price goals, determine potential price outlook, examine production and price risk, and develop a strategy for marketing your crop. This publication describes...

Bevers, Stan; Waller, Mark L.; Amosson, Stephen H.; McCorkle, Dean

2009-03-02T23:59:59.000Z

273

Market efficiency and the long-memory of supply and demand: Is price impact variable and permanent or fixed and temporary?  

E-Print Network (OSTI)

Market efficiency and the long-memory of supply and demand: Is price impact variable and permanent vs. seller initiated transactions. For example, during a period where there is an excess of buyer initiated transactions, there is also more liquidity for buy orders than sell orders, so that buy orders

274

Finite utility on financial markets with asymmetric information and structure properties of the price  

E-Print Network (OSTI)

Finite utility on financial markets with asymmetric information and structure properties utility. We show that whenever an agent's expected utility is finite, S is a semimartingale with a Doob­Meyer de­ composition featuring a martingale part and an information drift. The expected utility gain

Imkeller, Peter

275

Finite utility on financial markets with asymmetric information and structure properties of the price  

E-Print Network (OSTI)

Finite utility on financial markets with asymmetric information and structure properties utility. We show that whenever an agent's expected utility is finite, S is a semimartingale with a Doob-Meyer de- composition featuring a martingale part and an information drift. The expected utility gain

Imkeller, Peter

276

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

Notes: Notes: Prices have already recovered from the spike, but are expected to remain elevated over year-ago levels because of the higher crude oil prices. There is a lot of uncertainty in the market as to where crude oil prices will be next winter, but our current forecast has them declining about $2.50 per barrel (6 cents per gallon) from today's levels by next October. U.S. average residential heating oil prices peaked at almost $1.50 as a result of the problems in the Northeast this past winter. The current forecast has them peaking at $1.08 next winter, but we will be revisiting the outlook in more detail next fall and presenting our findings at the annual Winter Fuels Conference. Similarly, diesel prices are also expected to fall. The current outlook projects retail diesel prices dropping about 14 cents per gallon

277

What Is Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

What Is Price Volatility? What Is Price Volatility? The term "price volatility" is used to describe price fluctuations of a commodity. Volatility is measured by the day-to-day percentage difference in the price of the commodity. The degree of variation, not the level of prices, defines a volatile market. Since price is a function of supply and demand, it follows that volatility is a result of the underlying supply and demand characteristics of the market. Therefore, high levels of volatility reflect extraordinary characteristics of supply and/or demand. Prices of basic energy (natural gas, electricity, heating oil) are generally more volatile than prices of other commodities. One reason that energy prices are so volatile is that many consumers are extremely limited in their ability to substitute other fuels when the price, of natural gas

278

Integrating Small Scale Distributed Generation into a Deregulated Market: Control Strategies and Price Feedback  

E-Print Network (OSTI)

Small scale power generating technologies, such as gas turbines, small hydro turbines, photovoltaics, wind turbines and fuel cells, are gradually replacing conventional generating technologies, for various applications, in the electric power system. The industry restructuring process in the United States is exposing the power sector to market forces, which is creating competitive structures for generation and alternative regulatory structures for the transmission and distribution systems. The potentially conflicting economic and technical demands of the new, independent generators introduce a set of significant uncertainties. What balance between market forces and centralized control will be found to coordinate distribution system operations? How will the siting of numerous small scale generators in distribution feeders impact the technical operations and control of the distribution system? Who will provide ancillary services (such as voltage support and spinning reserves) in the new competitive environment? This project investigates both the engineering and market integration of distributed generators into the distribution system. On the technical side, this project investigates the frequency performance of a distribution system that has multiple small scale generators. Using IEEE sample distribution systems and new dynamic generator models, this project develops general methods for

Judith Cardell; Marija Ili?; Richard D. Tabors

1997-01-01T23:59:59.000Z

279

Price Discovery in the Natural Gas Markets of the United States and Canada  

E-Print Network (OSTI)

of stored natural gas. Weather variations have an obvious effect on natural gas prices. According to U.S. Department of Energy (U.S. Department of Energy (U.S.DOE), 2003), natural gas demand during winter months is more than 1.5 times daily winter... Deviation Minimum (Date) Maximum (Date) Henry Huba 4.54 2.71 1.03 (12/04/1998) 19.38 (02/25/2003) Chicago 4.55 2.64 1.23 (12/04/1998) 23.00 (02/02/1996) New York 5.36 3.61 1.34 (12/04/1998) 55.00 (01/14/2004) Malin 4.22 2.97 0.93 (02...

Olsen, Kyle

2011-02-22T23:59:59.000Z

280

Consumer Demand under Price Uncertainty: Empirical Evidence from the Market for Cigarettes  

E-Print Network (OSTI)

NY,t#5;1 #1; di#15;pChi,t#5;1 #1; ei#15;pLA,t#5;1 #1; eit. (9) 13 We observe prices in the BLS data set for a much longer time period than we observe smoking choices in the NELS. Thus our analysis of smoking behavior reported in section IV of this paper...-test for the null hypothesis that ci #2; di #2; ei #2; 0 for the 24 cities that are not New York, Chicago, or Los Angeles. We find that the null hypothesis is rejected for 15 out the 24 cities at 5%. But we can only reject the null at 1% three times. We then pick...

Coppejans, Mark; Gilleskie, Donna; Sieg, Holger; Strumpf, Koleman

2007-08-01T23:59:59.000Z

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


281

A model for hedging load and price risk in the Texas electricity market Michael Coulon , Warren B. Powell, Ronnie Sircar  

E-Print Network (OSTI)

drive electricity prices, such as fuel price (natural gas in particular), load itself, and a proxy by three stochastic factors including the load process, our power price model allows for the calculation for capacity available. We express power spot price as a parametric function of underlying factors, including

Powell, Warren B.

282

The Minimum Price Contract  

E-Print Network (OSTI)

A minimum price contract is one of many tools a marketer may use to better manage price and production risk while trying to achieve financial goals and objectives. This publication discusses the advantages and disadvantages involved...

Waller, Mark L.; Amosson, Stephen H.; Welch, Mark; Dhuyvetter, Kevin C.

2008-10-17T23:59:59.000Z

283

Livestock Seasonal Price Variation  

E-Print Network (OSTI)

Seasonal price movements can be measured and used to help in marketing livestock. This publication includes 10-year seasonal price indexes for several livestock categories, and explains how to interpret and use the information....

Davis, Ernest E.; Sartwelle III, James D.; Mintert, James R.

1999-09-21T23:59:59.000Z

284

Crude Oil Prices  

Annual Energy Outlook 2012 (EIA)

Information AdministrationPetroleum Marketing Annual 2001 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

285

Crude Oil Prices  

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

Information AdministrationPetroleum Marketing Annual 2002 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

286

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 2000 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

287

Crude Oil Prices  

Annual Energy Outlook 2012 (EIA)

Information AdministrationPetroleum Marketing Annual 1999 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

288

Crude Oil Prices  

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

Information AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

289

North Dakota Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 6.67 8.55 3.74 3.92 1967-2010 Imports Price 6.75 8.72 3.92 4.41 4.04 2.72 1994-2012 Exports Price -- -- -- -- -- -- 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.04 8.03 5.16 5.50 5.06 4.43 1984-2012 Residential Price 9.13 10.34 8.46 8.08 8.10 7.43 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 8.37 9.58 7.41 7.03 7.00 6.04 1967-2012 Percentage of Total Commercial Deliveries included in Prices 93.3 93.4 92.9 92.6 92.8 91.9 1990-2012 Industrial Price 6.86 8.30 5.21 5.22 5.10 4.48 1997-2012 Percentage of Total Industrial Deliveries included in Prices

290

New York Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 8.85 8.94 4.21 4.65 1967-2010 Imports Price 7.43 9.36 4.67 5.43 4.96 3.83 1989-2012 Exports Price 12.07 -- -- -- 4.69 3.61 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.02 10.07 7.35 6.86 6.04 5.35 1984-2012 Residential Price 15.73 16.78 15.05 14.04 13.71 12.97 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 11.82 12.86 10.72 10.88 9.32 7.84 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1990-2012 Industrial Price 11.43 12.30 9.52 8.55 8.18 6.92 1997-2012 Percentage of Total Industrial Deliveries included in Prices

291

Customer reponse to day-ahead wholesale market electricity prices: Case study of RTP program experience in New York  

E-Print Network (OSTI)

Price ($/MWh) Conservation Adjusted Demand Response (MW) The elasticitiesDemand Response (MW) To estimate the peak-period price response of SC-3A customers as a group, the elasticitiesresponse capability, and quantitatively through the estimation of price elasticity using demand

2004-01-01T23:59:59.000Z

292

9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO) Effects of Fuel Prices on Air Transportation Market  

E-Print Network (OSTI)

of fluctuations in terms of fuel prices, seasonality, distance flown, competition, and other economic impacts, La Guardia. I. Introduction Fuel prices have increased 131% over the past four years as shown by the average air carrier cost factors shown in figure 1. This fluctuation of fuel prices, followed

293

West Virginia Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price NA NA NA NA 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.62 10.32 7.06 6.31 5.91 4.99 1984-2012 Residential Price 14.59 14.51 14.75 11.39 10.91 10.83 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 13.37 13.54 14.24 10.27 9.65 9.39 1967-2012 Percentage of Total Commercial Deliveries included in Prices 58.6 53.5 53.6 51.0 49.2 48.4 1990-2012 Industrial Price 8.51 10.94 5.55 5.40 4.89 3.56 1997-2012 Percentage of Total Industrial Deliveries included in Prices 16.2 19.0 17.4 14.7 15.6 16.2 1997-2012 Vehicle Fuel Price -- -- -- -- -- -- 1992-2012

294

Prices & Trends  

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

The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment. Learn about EIA and Energy Department organizations that track energy prices and trends.

295

Food price volatility  

Science Journals Connector (OSTI)

...much lower on the political agenda in the...Despite the inherent risks in agricultural...markets and crop insurance. While these...measures of price risk management (Morgan 2001). Insurance markets are well...not for price risk. Futures and...

2010-01-01T23:59:59.000Z

296

PRICE LEVELS AND DISPERSION WITH ASYMMETRIC INFORMATION.  

E-Print Network (OSTI)

??In the extensive literature on price dispersions that exists to date, there is a gap in the analysis of how market structure affects prices as… (more)

Bhattacharya, Tanmoy

2011-01-01T23:59:59.000Z

297

Retail Price Changes Lag Spot Prices  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: While EIA cannot claim to explain all of the factors that drive retail gasoline prices, we have had a fair amount of success in exploring the relationship between wholesale and retail prices. In particular, we have looked closely at the "pass-through" of changes in spot prices to the retail market. This graph shows a weighted national average of spot prices for regular gasoline -both conventional and reformulated (shown in red), and EIA's weekly survey price for retail regular (again both conventional and reformulated). As you can see, spot prices tend to be more volatile (and would be even more so on a daily basis), while these changes are smoother by the time they reach the retail pump. Furthermore, by looking at the peaks, you can see the retail prices seem to lag the spot price changes

298

Gas Prices: Frequently Asked Questions  

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

Prices: Frequently Asked Questions Prices: Frequently Asked Questions What determines the price of gasoline? Energy Information Administration What's going on with gasoline prices? Factors Affecting Gasoline Prices This Week in Petroleum (updated weekly) Gasoline Price Pass-through Oil Market Basics Primer on Gasoline Sources and Markets What's up (and down) with gasoline prices? Illustration showing component costs of gasoline What are the average national and regional gasoline prices? Energy Information Administration Gasoline and Diesel Fuel Update (updated weekly) This Week in Petroleum (updated weekly) California Energy Commission California Gasoline & Gasoline Prices What is the outlook for gasoline prices? Energy Information Administration Short-Term Energy Outlook Why are gasoline prices so different from one state (or region) to another?

299

Prices and Price Setting.  

E-Print Network (OSTI)

??abstractThis thesis studies price data and tries to unravel the underlying economic processes of why firms have chosen these prices. It focuses on three aspects… (more)

R.P. Faber (Riemer)

2010-01-01T23:59:59.000Z

300

Loss-Free Pricing Rules  

Science Journals Connector (OSTI)

This chapter provides an application of the pricing rule approach to the analysis of unregulated market economies with non-convex production sets. Loss-free pricing rules provide a natural framework for this a...

Prof. Dr. Antonio Villar

2000-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wellhead price marketed" 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

The Allocative Cost of Price Ceilings: Lessons to be Learned from the U.S. Residential Market for Natural Gas,” Unpublished paper  

E-Print Network (OSTI)

Following a Supreme Court decision in 1954, natural gas markets in the U.S. were subject to 35 years of intensive federal regulation. Several studies have measured the deadweight loss from the price ceilings that were imposed during this period. This paper concentrates on an additional component of welfare loss that is rarely discussed. In particular, when there is excess demand for a good such as natural gas for which secondary markets do not exist, an additional welfare loss occurs when the good is not allocated to the buyers who value it the most. We quantify the overall size of this allocative cost, its evolution during the post-war period, and its geographical distribution across states, and we highlight implications of our analysis for the regulation of other markets. Using a household-level, discrete-continuous model of natural gas demand we estimate that the allocative cost averaged $8.1 billion annually in the U.S. residential market for natural gas during 1950-2000, effectively doubling previous estimates of the total welfare losses from natural gas regulation. We find that these allocative costs were borne disproportionately by households in the Northeast, Midwest, and South Atlantic states.

Lucas W. Davis; Lutz Kilian; Jel D; Comments William; James Adams; James R. Hines

2007-01-01T23:59:59.000Z

302

Gasoline Price Pass-through  

Gasoline and Diesel Fuel Update (EIA)

Gasoline Price Pass-through Gasoline Price Pass-through January 2003 by Michael Burdette and John Zyren* The single most visible energy statistic to American consumers is the retail price of gasoline. While the average consumer probably has a general notion that gasoline prices are related to those for crude oil, he or she likely has little idea that gasoline, like most other goods, is priced at many different levels in the marketing chain, and that changes ripple through the system as prices rise and fall. When substantial price changes occur, especially upward, there are often allegations of impropriety, even price gouging, on the part of petroleum refiners and/or marketers. In order to understand the movement of gasoline prices over time, it is necessary to examine the relationship between prices at retail and various wholesale levels.

303

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

E-Print Network (OSTI)

6/16/2010. OASIS SDO. “Energy Market Information Exchange (of Prices CAISO’s Wholesale Energy Market Prices PG&E’s PDPWe used the CAISO wholesale energy market prices for the RTP

Ghatikar, Girish

2010-01-01T23:59:59.000Z

304

MARKETING  

Science Journals Connector (OSTI)

MARKETING ... New Directory to Index Government Data CMRA and BDSA team up to bring out a new index to government statistics on chemical commodities Industry market researchers are teaming up with two government agencies in a joint project to catalog government data on chemicals. ...

1962-02-26T23:59:59.000Z

305

U.S. Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1973 NA NA NA NA NA NA NA NA NA NA NA NA 1974 NA NA NA NA NA NA NA NA NA NA NA NA 1975 NA NA NA NA NA NA NA NA NA NA NA NA 1976 0.54 0.54 0.54 0.55 0.55 0.58 0.58 0.60 0.60 0.62 0.63 0.64 1977 0.67 0.71 0.75 0.77 0.77 0.82 0.83 0.82 0.83 0.84 0.83 0.84 1978 0.87 0.88 0.89 0.88 0.91 0.91 0.89 0.91 0.92 0.92 0.93 0.96 1979 1.02 1.05 1.10 1.11 1.15 1.17 1.20 1.24 1.24 1.28 1.29 1.31 1980 1.37 1.42 1.46 1.51 1.56 1.57 1.64 1.64 1.69 1.71 1.76 1.74 1981 1.77 1.81 1.86 1.93 1.95 1.95 2.01 2.02 2.08 2.11 2.15 2.16 1982 2.23 2.30 2.35 2.40 2.45 2.45 2.47 2.53 2.56 2.60 2.62 2.62

306

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

307

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

308

Natural Gas Industrial 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

309

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

310

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

311

An empirical investigation of the price linkages between wholesale beef and slaughter cattle prices  

E-Print Network (OSTI)

carcass values to determine If slaughter cattle prices by grade can be infered. The average price response indicates that the dressing percentage of the imputed carcass value is the best Indicator of slaughter cattle prices. The results also Indicate.... Marketing Margins. Price Transmission. Economic Models of Temporal Relationships. Price Differentials. 6 7 7 8 10 13 EMPIRICAL APPROACH 15 Data. -No-Trade" Days Imputed Carcass Value. Price Differentials Vertical Price Linkages. Average Price...

Owen, Cynthia Jane

2012-06-07T23:59:59.000Z

312

select h.*, p.Price as Price, NestXML(p.PricingConditions,  

E-Print Network (OSTI)

select h.*, p.Price as Price, NestXML(p.PricingConditions, p.PNGImage) as AdditionalData from Hyper Passau, Germany New Supplier Market Place select p.ProductDescription, c.Supplier, c.AdditionalData, c.Price by p.ProductDescription, c.Price expires Friday, March 29, 2002 5:00:00 PM CET Register Products XML

Kemper, Alfons

313

Oil Price Volatility  

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

Speculation and Oil Price Volatility Speculation and Oil Price Volatility Robert J. Weiner Robert J. Weiner Professor of International Business, Public Policy & Professor of International Business, Public Policy & Public Administration, and International Affairs Public Administration, and International Affairs George Washington University; George Washington University; Membre Associ Membre Associ é é , GREEN, Universit , GREEN, Universit é é Laval Laval EIA Annual Conference Washington Washington 7 April 2009 7 April 2009 1 FACTORS DRIVNG OIL PRICE VOLATILITY FACTORS DRIVNG OIL PRICE VOLATILITY ► ► Market fundamentals Market fundamentals . . Fluctuations in supply, Fluctuations in supply, demand, and market power demand, and market power Some fundamentals related to expectations of Some fundamentals related to expectations of

314

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

20.86 20.67 20.47 20.24 20.32 19.57 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

315

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

19.11 18.73 18.63 17.97 18.75 18.10 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

316

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

E-Print Network (OSTI)

Implementing Real- Time Retail Electricity Pricing,” CenterMarkets With Time-Invariant Retail Prices,” RAND Journal of155 Customer Risk from Real-Time Retail Electricity Pricing:

Borenstein, Severin

2007-01-01T23:59:59.000Z

317

CANNED FISH .RETAIL PRICES  

E-Print Network (OSTI)

CANNED FISH .RETAIL PRICES MA.Y 1959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES MAY 1959 Prepared in the Bureau of Commercial Fisheries Branch of Market a population of 30, 500 or over, and pric s w r obtain d by P rson 1 visit of ag nts to th retail stores in th

318

Marketing Case Inventory --1 Marketing Curriculum Case Inventory  

E-Print Network (OSTI)

Marketing Case Inventory -- 1 Marketing Curriculum Case Inventory AY 13-14 Case / Publisher / Case# Marketing Management ConsumerResearch MarketingStrategy MarketingResearch B2BMarketing Entrepreneurial Marketing BehavioralDecision Making SocialMedia&Digital Marketing Competitive Pricing AdvancedMarketing

von der Heydt, Rüdiger

319

Gasoline Prices: What is Happening?  

Gasoline and Diesel Fuel Update (EIA)

Gasoline Prices: What is Happening? Gasoline Prices: What is Happening? 5/10/01 Click here to start Table of Contents Gasoline Prices: What is Happening? Retail Motor Gasoline Price* Forecast Doesn't Reflect Potential Volatility Midwest Looking Like Last Year RFG Responding More Strongly Gasoline Prices Vary Among Locations.Retail Regular Gasoline Price, Cents per Gallon May 8, 2001 Crude Oil Affects Gasoline Prices WTI Crude Oil Prices Are Expected To Remain Relatively High Through At Least 2001 Low Total OECD Oil Stocks* Keep Market Balance Tight Low U.S. Stocks Indicate Tight U.S. Market Regional Inventories Tight Product Balance Pushes Up Product Spread (Spot Product - Crude Price) "New Factor" Contributing to Volatility: Excess Capacity is Gone Regional Refinery Utilization Shows Gulf Coast Pressure

320

Economic comparison of a well-head geothermal power plant and a traditional one  

Science Journals Connector (OSTI)

Abstract The objective of this paper was to do an economic comparison between the traditional approach to geothermal projects and a well-head method, where smaller power plants were installed on each well to considerably reduce the time until energy production begins. The two methods were compared in a hypothetical steamfield, based on their NPV and net power production. The comparison showed that wellhead power plants benefit geothermal projects by increasing the power output and NPV by as much as 5% and 16% respectively, depending on how early they can start production and the rate of installation.

Carlos Atli Córdova Geirdal; Maria S. Gudjonsdottir; Pall Jensson

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wellhead price marketed" 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

Multi-Factor Energy Price Models Exotic Derivatives Pricing  

E-Print Network (OSTI)

of Statistics University of Toronto c Copyright by Samuel Hikspoors 2008 #12;Multi-Factor Energy Price Models of Toronto, May 2008 Abstract The high pace at which many of the world's energy markets have gradually beenMulti-Factor Energy Price Models and Exotic Derivatives Pricing by Samuel Hikspoors A thesis

Jaimungal, Sebastian

322

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

323

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

324

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

325

The efficiency of the U.S. cotton futures market (1986-2006): normal backwardation, co-integration, and asset pricing  

E-Print Network (OSTI)

into seasonally-differentiated contracts has yielded strong evidence of declining prices. This result differs from previously published work in the most comprehensive study of futures prices, while updating and extending information on pricing patterns...

Chavez, Marissa Joyce

2009-06-02T23:59:59.000Z

326

Table 19. U.S. Refiner Residual Fuel Oil Prices  

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

Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1996...

327

Table 19. U.S. Refiner Residual Fuel Oil Prices  

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

Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1997...

328

First Factor Impacting Distillate Prices: Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: World oil prices have tripled from their low point in December 1998 to August this year, pulling product prices up as well. But crude prices are expected to show a gradual decline as increased oil production from OPEC and others enters the world oil market. We won't likely see much decline this year, however, as prices are expected to end the year at about $30 per barrel. The average price of WTI was almost $30 per barrel in March, but dropped to $26 in April as the market responded to the additional OPEC production. However, prices strengthened again, averaging almost $32 in June, $30 in July, and $31 in August. The continued increases in crude oil prices indicate buyers are having trouble finding crude oil, bidding higher prices to obtain the barrels available.

329

Food price volatility  

Science Journals Connector (OSTI)

...of commodity price changes in energy and metals as well as for foods...commodities, in particular corn, sugar and vegetable oils...smaller in food markets than in energy and metals markets, reflecting...insignificant fall grains (%) maize (corn) 19.3 19.4 19.2 1.02...

2010-01-01T23:59:59.000Z

330

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

One of the first places where consumers are feeling the impact of One of the first places where consumers are feeling the impact of this winter's market pressures is in home heating oil prices. This chart shows prices through February 28, the most recent EIA data available. The general level of heating oil prices each year is largely a function of crude oil prices, and the price range over the course of the heating season is typically about 10 cents per gallon. Exceptions occur in unusual circumstances, such as very cold weather, large changes in crude oil prices, or supply problems. Heating oil prices for East Coast consumers started this winter at just over $1 per gallon, but rising crude oil prices drove them up nearly 21 cents through mid-January. With the continuing upward pressure from crude oil markets, magnified by a regional shortfall of heating oil

331

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Slide 2 of 11 Notes: One of the first places where consumers are feeling the impact of this winterÂ’s market pressures is in home heating oil prices. This chart shows prices through February 7, the most recent EIA data available. The general level of heating oil prices each year is largely a function of crude oil prices, and the price range over the course of the heating season is typically about 10 cents per gallon. Exceptions occur in unusual circumstances, such as very cold weather, large changes in crude oil prices, or supply problems. Heating oil prices for East Coast consumers started this winter at just over $1 per gallon, but rising crude oil prices drove them up nearly 21 cents per gallon through mid-January. With the continuing upward pressure from crude oil markets, magnified by a regional shortfall of

332

Fairness and dynamic pricing: comments  

SciTech Connect

In ''The Ethics of Dynamic Pricing,'' Ahmad Faruqui lays out a case for improved efficiency in using dynamic prices for retail electricity tariffs and addresses various issues about the distributional effects of alternative pricing mechanisms. The principal contrast is between flat or nearly constant energy prices and time-varying prices that reflect more closely the marginal costs of energy and capacity. The related issues of fairness criteria, contracts, risk allocation, cost allocation, means testing, real-time pricing, and ethical policies of electricity market design also must be considered. (author)

Hogan, William W.

2010-07-15T23:59:59.000Z

333

Charts and graphs: NUKEM Uranium price ange data; NUKEM Uranium historical price graph; U.S. DOE & euratom average contract prices for natural uranium; NUKEM SWU historical price graph; NUKEM SWU spot/secondary price range; U.S. DOE separative work prices data  

SciTech Connect

This article is the uranium market data summary. It contains data for the following subjects: (1) March 1996 transactions, (2) Uranium price range data, (3) Historical uranium price range data, (4) DOE and Euratom average contract prices for natural uranium, (5) SWU historical price data, (6) SWU/spot/secondary price range data, and (7) DOE SWU prices data.

NONE

1996-04-01T23:59:59.000Z

334

Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

This chart highlights residential heating oil prices for the current and This chart highlights residential heating oil prices for the current and past heating season. As you can see, prices have started the heating season, about 40 to 50 cents per gallon higher than last year at this time. The data presented are from EIA's State Heating Oil and Propane Program. We normally collect and publish this data twice a month, but given the low stocks and high prices, we started tracking the prices weekly. These data will also be used to determine the price trigger mechanism for the Northeast Heating Oil Reserve. The data are published at a State and regional level on our web site. The slide is to give you some perspective of what is happening in these markets, since you probably will get a number of calls from local residents about their heating fuels bills

335

Average Commercial Price  

Annual Energy Outlook 2012 (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 1231 Reserves...

336

Energy Information Administration / Petroleum Marketing Annual...  

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

55 Energy Information Administration Petroleum Marketing Annual 1997 Prices of Petroleum Products Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State...

337

Definitions of Marketing Terms  

E-Print Network (OSTI)

Extension Service.. Dean McCorkle and Kevin Dhuyvetter* Cash Market Cash marketing basis ? the difference be- tween a cash price and a futures price of a par- ticular commodity on a given futures exchange. It is calculated as: Basis = cash price - futures... price. Basis can be positive or negative. Basis contract ? an agreement between a producer and a grain elevator (or feedlot) that specifi es the cash price upon future delivery as a fi xed amount in relation to the futures price (above or below...

McCorkle, Dean; Dhuyvetter, Kevin C.

2008-12-05T23:59:59.000Z

338

Robust management and pricing of LNG contracts with cancellation ...  

E-Print Network (OSTI)

account that price-risk is driven by international markets, while volume-risk depends .... In Europe and North America energy derivatives and physical markets ...

2012-12-18T23:59:59.000Z

339

Petroleum Marketing Monthly  

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

U.S. Refi ner retail petroleum product prices U.S. Energy Information Administration | Petroleum Marketing Monthly 7 December 2014...

340

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network (OSTI)

of price response (price elasticity of demand, substitutionprice elasticities, for estimating the market potential of demand responsedemand response market potential that account for customer behavior and prices through the use of price elasticities (

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wellhead price marketed" 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

Essays on trades and security prices  

E-Print Network (OSTI)

This thesis consists of three chapters that investigate the complex relation between security prices and trades of market participants. In the first chapter, I study the evolution of stock prices after trades with different ...

Obizhaeva, Anna

2007-01-01T23:59:59.000Z

342

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

B. , Kollman E. , Price S. Avoided cost estimation and post-and marketing costs. The costs avoided by CPP implementation

Herter, Karen

2006-01-01T23:59:59.000Z

343

Summary Statistics Table 1. Crude Oil Prices  

Annual Energy Outlook 2012 (EIA)

Cost Report." Figure Energy Information Administration Petroleum Marketing Annual 1996 3 Table 2. U.S. Refiner Prices of Petroleum Products to End Users (Cents per Gallon...

344

Status of the U.S. Market for Green Power Glenn Reed, XENERGYInc.  

E-Print Network (OSTI)

by the price differential between the default service price relative to wholesale market prices. Introduction power markets is the default service price relative to the wholesale market prices. The differenceStatus of the U.S. Market for Green Power Glenn Reed, XENERGYInc. Ashley H. Houston, XENERGY Inc

345

Factors Impacting Gasoline Prices and Areas for Further Study  

Gasoline and Diesel Fuel Update (EIA)

Factors Impacting Gasoline Prices and Areas for Further Study Factors Impacting Gasoline Prices and Areas for Further Study 8/10/01 Click here to start Table of Contents Factors Impacting Gasoline Prices and Areas for Further Study Different Factors Impact Different Aspects of Gasoline Price Correlation of Price to Inventory Levels Crude Prices Strongly Related to OECD.Crude & Product Inventories Gasoline Prices Also Influenced by Regional Gasoline Product Markets Tight Product Balance Pushes Up Product Spread (Spot Product - Crude Price) Retail Price Changes Lag Spot Prices Cumulative Gasoline Price Pass-through Illustration of How Lag Effect Dampens and Slows Retail Price Changes from Wholesale Recent Weekly Retail Price Changes Have Been as Expected Summary: Most Gasoline Price Movement Can Be Explained As Rational Market Behavior Author: Joanne Shore

346

Reactive Power Support Services in Electricity Markets  

E-Print Network (OSTI)

Reactive Power Support Services in Electricity Markets Costing and Pricing of Ancillary Services Final Project Report Power Systems Engineering Research Center A National Science Foundation Industry Reactive Power Support Services in Electricity Markets Costing and Pricing of Ancillary Services Project

347

NIH drops reasonable pricing clause  

Science Journals Connector (OSTI)

... instigated the clause, was not developed under a formal cooperative research and development agreement (CRADA). Varmus himself says that the price at which a drug is marketed should not ...

Helen Gavaghan

1995-04-20T23:59:59.000Z

348

Export markets gain strength  

SciTech Connect

The prices for internally traded coal in the USA have reached record levels and the future market fundamentals look very good. This is mainly due to Asian demand. The article discusses recent markets for US coal and summarizes findings of a recent study by Hill & Associates entitled 'International coal trade - supply, demand and prices to 2025'. 1 ref., 2 tabs.

Fiscor, S.

2008-02-15T23:59:59.000Z

349

What's happening in Midwest ISO market?  

E-Print Network (OSTI)

attributable to significantly decreased natural gas, oil and coal prices. (fuel costs represent the vast of Presentation Introduction Energy prices in 2006 Day-Ahead Market Performance Real-Time Market Performance;Introduction 2006 is the first full year of market operations in Midwest ISO. Electricity prices in MISO

Tesfatsion, Leigh

350

Microsoft Word - Documentation - Price Forecast Uncertainty.doc  

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

October 2009 October 2009 1 October 2009 Short-Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty 1 Summary It is often noted that energy prices are quite volatile, reflecting market participants' adjustments to new information from physical energy markets and/or markets in energy- related financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the market- clearing process for risk transfer can be used to generate "price bands" around observed futures prices for crude oil, natural gas, and other commodities. These bands provide a quantitative measure of uncertainty regarding the range in which markets expect prices to

351

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

Center for the Study of Energy Markets Paper CSEMWP-105.OASIS SDO. 2010b. “Energy Market Information Exchange (eMIX)charges. • Wholesale energy market prices are volatile, and

Ghatikar, Girish

2010-01-01T23:59:59.000Z

352

E-Print Network 3.0 - auto market takes Sample Search Results  

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

of Calgary Collection: Computer Technologies and Information Sciences 32 European Bioenergy Markets: Integration and Price Convergence Summary: European Bioenergy Markets:...

353

E-Print Network 3.0 - assessment market model Sample Search Results  

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

Mathematics and Statistics, University of Canterbury Collection: Mathematics 94 European Bioenergy Markets: Integration and Price Convergence Summary: market integration is...

354

E-Print Network 3.0 - awareness market potential Sample Search...  

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

of Mechanical Engineering, Carnegie Mellon University Collection: Engineering 59 European Bioenergy Markets: Integration and Price Convergence Summary: European Bioenergy Markets:...

355

Revisiting the Long-Term Hedge Value of Wind Power in an Era of Low Natural Gas Prices  

E-Print Network (OSTI)

Gas Exports on Domestic Energy Markets. Produced by the EIAexports on domestic energy markets (EIA 2012c). These twentyeditions). Short-Term Energy Outlook, Market Prices and

Bolinger, Mark

2014-01-01T23:59:59.000Z

356

El Paso Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

0 0 Notes: Good morning. IÂ’m glad to be here in El Paso to share some of my agencyÂ’s insights on crude oil and gasoline prices. I represent the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. My division has the responsibility to monitor petroleum supplies and prices in the United States. As part of that work, we operate a number of surveys on a weekly, monthly, and annual basis. One of these is a weekly survey of retail gasoline prices at about 800 stations nationwide. This survey in particular allows us to observe the differences between local gasoline markets in the United States. While we track relatively few stations in the El Paso area, we have compared our price data with that collected by the El Paso City-County Health and Environmental District and

357

Statewide Pricing Pilot (SPP) Overview and Results  

E-Print Network (OSTI)

Demand response systems which automatically reduce load based on price · Test new forms of information Features #12;Customer Demand Elasticity's Customer Load Impacts Market Research Participant Response Market Objectives Authors Econometrically measure customer price elasticity and model customer response to critical

358

Markets & Finance - U.S. Energy Information Administration (EIA)  

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

Markets & Finance Markets & Finance Glossary › FAQS › Overview Data Market Prices and Uncertainty Charts Archive Analysis & Projections Most Requested Electricity Financial Markets Financial Reporting System Working Papers Market Prices and Uncertainty Report What Drives Crude Oil Prices All Reports Don't miss: EIA's monthly Market Prices and Uncertainty Report or What Drives Crude Oil Prices? (an analysis of 7 key factors that may influence oil prices, physical market factorsand factors related to trading and financial markets). Crude oil price volatility and uncertainty› Evolution of WTI futures Source: U.S. Energy Information Administration, Short-Term Energy Outlook, Market Prices and Uncertainty Report. Heating oil price volatility and uncertainty› RBOB and Heating oil implied volatility

359

1986 Cogeneration Market Assessment  

E-Print Network (OSTI)

implementation path such as changing energy general direction. prices, tax laws, FERC decisions, avoided costs, permitting etc., the cogeneration industry is What's missing is usually the meaning of th still strong. market assessment to the end user... increases and paper production which is basically a solid fuel fired steam turbine market will increase, thus increasing the application of steam turbines. Lastly, in the refuse market probably the least effect of lower oil prices will occur. Energy...

Wallace, D. G.

360

Flexible procurement strategies smooth price spikes  

SciTech Connect

Pace Global Energy Services has been predicting for some time that the recent peaks in spot coal prices were not sustainable and this has been borne out. The latest available data on coal supply and demand fundamental suggest that spot coal prices may decline even more rapidly than previously forecast. Price volatility over the last five years suggests that a flexible procurement strategy that is well adapted to volatile market conditions may be just as important as knowledge of market fundamentals. 3 figs.

Gaalaas, T. [Pace Global Energy Services LLC (United States)

2006-12-15T23:59:59.000Z

Note: This page contains sample records for the topic "wellhead price marketed" 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

Definition: Variable Peak Pricing | Open Energy Information  

Open Energy Info (EERE)

Variable Peak Pricing Variable Peak Pricing Jump to: navigation, search Dictionary.png Variable Peak Pricing Variable Peak Pricing (VPP) is a hybrid of time-of-use and real-time pricing where the different periods for pricing are defined in advance (e.g., on-peak=6 hours for summer weekday afternoon; off-peak= all other hours in the summer months), but the price established for the on-peak period varies by utility and market conditions.[1] Related Terms real-time pricing References ↑ https://www.smartgrid.gov/category/technology/variable_peak_pricing [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitionssmart grid,off-peak,on-peak,smart grid, |Template:BASEPAGENAME]]smart grid,off-peak,on-peak,smart grid, Retrieved from "http://en.openei.org/w/index.php?title=Definition:Variable_Peak_Pricing&oldid=50262

362

Description and operation of a mobile wellhead analyzer for the determination of unstable constituents in oilfield waters  

SciTech Connect

A brine analyzer was designed which measures pH, Eh, O/sub 2/, conductivity, S/sup 2 -/, HCO/sub 3//sup -/, CO/sub 3//sup 2 -/, and CO/sub 2/ in oilfield water at the wellhead. When brine samples are collected in the field and transported to the laboratory for analysis, many of the unstable constituents change in concentration. The amount of change depends on the sampling method, sample storage, ambient conditions, and the level of the constituents in the original sample. Thus, a wellhead analysis is necessary if reliable data are to be obtained on unstable constituents in oilfield brines.

Hoke, S.H.; Collins, A.G.

1980-02-01T23:59:59.000Z

363

Small biphase wellhead plant for the Cerro Prieto Mexico geothermal field  

SciTech Connect

In a system of geothermal wells in a geothermal field, there are different production conditions of the flows, temperatures and pressures. At plants where the installed capacity requires the use of many wells, it is necessary to regulate the well`s pressure to ensure a stable condition for the turbines. Reducing the steam pressure on the wellhead is achieved by using an orifice plate (flash orifice). Use of an orifice plate results in a waste or loss of well pressure that could be utilized for production of electricity. The Cerro Prieto field, operated by the Comision Federal de Electricidad (CFE), has many wells operating at a very high pressure and producing a lot of water. Much of this pressure and water is not utilized in the production of electricity. With the purpose of taking advantage of this pressure CFE has evaluated a proposal by Biphase Energy Co. Biphase has designed and patented a turbine that works directly with the steam and water mixture coming from the wellhead, acting as a separator. Biphase has developed a model of its turbine and successfully operated it in Coso Hot Springs California. Knowing this CFE has signed an agreement with Biphase Energy Company to install and operate a biphasic turbine at the Cerro Prieto geothermal field located near Mexicali, Mexico.

Oropeza, A.; Hays, L.

1996-12-31T23:59:59.000Z

364

Regular price  

E-Print Network (OSTI)

D-LINK DWL-1000AP 802.11B Wireless LAN Access Point 11Mbps Best Deal On Earth! Regular price: $399.00. Sale price: $234.00. DWL-120> D-LINK ...

365

Emissions trading under market imperfections.  

E-Print Network (OSTI)

??In this thesis we consider emissions trading under various market imperfections such as uncertainty over permit price, imperfect competition and noncompliance. First, we study the… (more)

Lappi, Pauli

2013-01-01T23:59:59.000Z

366

Class Pricing  

E-Print Network (OSTI)

A contract with K-class pricing divides a large set of goods or services into K classes and assigns a single price to any element of a class. Class pricing can be efficient when several different versions may be traded and ...

Wernerfelt, Birger

2008-01-15T23:59:59.000Z

367

Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing  

E-Print Network (OSTI)

between periodic auctions and EC2 spot market. Furthermore, we formulate the optimal capacity segmentationTowards Optimal Capacity Segmentation with Hybrid Cloud Pricing Wei Wang, Baochun Li, and Ben Liang priced in multiple markets with different service guarantees. For example, Amazon EC2 prices virtual

Li, Baochun

368

OPEC agrees to lower oil prices, production  

Science Journals Connector (OSTI)

OPEC agrees to lower oil prices, production ... The attempt to stabilize prices and salvage some of OPEC's eroding control of the world oil market forced the cartel to make the first price cut in its history. ... U.S. government officials, predicting that the price ultimately would fall to between $25 and $27 per barrel from the new benchmark level of $29, said the new price would increase domestic production of goods and services 0.4% and cut consumer prices in the U.S. nearly 1.0%. ...

1983-03-21T23:59:59.000Z

369

The Relationship between Bulk Commodity and Chinese Steel Prices  

E-Print Network (OSTI)

Iron ore and coking coal are complementary inputs for steelmaking and therefore their prices are closely related to steel prices. Historically, trade in iron ore and coking coal was based on long-term contracts, but in recent years there has been a shift towards shorter-term pricing, including on the spot market, and consequently prices reflect market developments more quickly. This article analyses the relationship between the spot prices for iron ore, coking coal and Chinese steel products, and finds that in the short run the spot price for iron ore has tended to overshoot its long-run equilibrium following an unexpected change in Chinese steel prices.

Mark Caputo; Tim Robinson; Hao Wang

370

Understanding for Grain Marketing  

E-Print Network (OSTI)

Understanding for Grain Marketing Commodity Futures and Options CIS1089 The Authors: L.D. MakusContracts A futures contract is a standard- ized contract that is traded on a futures market exchange. The contract. This bulletin presents some marketing tools to help producers recognize the sources of price risk

O'Laughlin, Jay

371

U.S. Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Wellhead Price NA NA NA NA NA NA 1973-2013 Imports Price 3.95 3.90 3.41 3.17 3.48 3.44 1989-2013 By Pipeline 3.93 3.73 3.37 3.01 3.01 3.38 1997-2013 As Liquefied Natural Gas 4.51 8.65 4.59 7.42 9.96 5.79 1997-2013 Exports Price 4.38 4.22 3.94 3.75 3.88 3.88 1989-2013 By Pipeline 4.37 4.22 3.93 3.75 3.88 3.88 1997-2013 As Liquefied Natural Gas 12.84 13.38 12.89 13.25 13.53 13.09 1997-2013 Citygate Price 5.54 5.74 5.53 5.23 5.20 4.88 1973-2013 Residential Price 12.61 14.97 16.30 16.44 15.69 12.48 1973-2013 Percentage of Total Residential Deliveries included in Prices 95.2 94.9 94.9 94.8 94.9 95.2 2002-2013 Commercial Price 8.75 9.09 8.99 9.07 8.80 8.34 1973-2013

372

U.S. Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 6.25 7.97 3.67 4.48 3.95 2.66 1922-2012 Imports Price 6.87 8.70 4.19 4.52 4.24 2.88 1985-2012 By Pipeline 6.83 8.57 4.13 4.46 4.09 2.79 1985-2012 As Liquefied Natural Gas 7.07 10.03 4.59 4.94 5.63 4.27 1985-2012 Exports Price 6.92 8.58 4.47 5.02 4.64 3.25 1985-2012 By Pipeline 6.96 8.62 4.34 4.75 4.35 3.08 1985-2012 As Liquefied Natural Gas 6.23 7.69 8.40 9.53 10.54 12.82 1985-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.16 9.18 6.48 6.18 5.63 4.73 1973-2012 Residential Price 13.08 13.89 12.14 11.39 11.03 10.71 1967-2012 Percentage of Total Residential Deliveries included in Prices 98.0 97.5 97.4 97.4 96.3 95.3 1989-2012

373

Appliance Efficiency Standards and Price Discrimination  

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

Appliance Efficiency Standards and Price Discrimination Appliance Efficiency Standards and Price Discrimination Title Appliance Efficiency Standards and Price Discrimination Publication Type Report LBNL Report Number LBNL-6283E Year of Publication 2013 Authors Spurlock, Anna C. Date Published 05/2013 Keywords EES-EG Abstract I explore the effects of two simultaneous changes in minimum energy efficiency and ENERGY STAR standards for clothes washers. Adapting the Mussa and Rosen (1978) and Ronnen (1991) second-degree price discrimination model, I demonstrate that clothes washer prices and menus adjusted to the new standards in patterns consistent with a market in which firms had been price discriminating. In particular, I show evidence of discontinuous price drops at the time the standards were imposed, driven largely by mid-low efficiency segments of the market. The price discrimination model predicts this result. On the other hand, in a perfectly competition market, prices should increase for these market segments. Additionally, new models proliferated in the highest efficiency market segment following the standard changes. Finally, I show that firms appeared to use different adaptation strategies at the two instances of the standards

374

Wealth Transfers Among Large Customers from Implementing Real-Time Retail Electricity Pricing  

E-Print Network (OSTI)

Severin. “Time-Varying Retail Electricity Prices: Theory andCustomer Risk from Real-Time Retail Electricity Pricing:Markets With Time-Invariant Retail Prices,” RAND Journal of

Borenstein, Severin

2007-01-01T23:59:59.000Z

375

price | OpenEI  

Open Energy Info (EERE)

price price Dataset Summary Description Global PV grid parity and market potential. Data is courtesy of Sean Ong. Source National Renewable Energy Laboratory Date Released Unknown Date Updated Unknown Keywords grid Parity Payback photovoltaic price PV Residential Data text/csv icon globalgridparity.csv (csv, 4.8 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Creative Commons CCZero Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating. Dataset Summary

376

Commodity Price Interaction: CO2 Allowances, Fuel Sources and Electricity  

Science Journals Connector (OSTI)

This work anlyses the relationship between the returns for carbon, electricity and fossil fuel price (coal, oil and natural gas), ... in carbon are not strongly reflected in electricity prices. Also, market power...

Mara Madaleno; Carlos Pinho; Cláudia Ribeiro

2014-01-01T23:59:59.000Z

377

Fact #742: August 27, 2012 Oil Price and Economic Growth  

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

Major oil price shocks have disrupted world energy markets five times in the past 30 years (1973-74, 1979-80, 1990-91, 1999-2000, and 2008). Most of the oil price shocks were followed by an...

378

An agent-based approach to modeling electricity spot markets  

E-Print Network (OSTI)

(cont.) The model could also be used to analyze market factors (such as new market rules) and their effects on market price dynamics and market participants' behaviors, as well as to identify the "best" response action of ...

Visudhiphan, Poonsaeng, 1973-

2003-01-01T23:59:59.000Z

379

Spot Distillate & Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Retail distillate prices follow the spot distillate markets, and crude oil prices have been the main driver behind distillate spot price increases until recently. Crude oil rose about 36 cents per gallon from its low point in mid February 1999 to the middle of January 2000. Over this same time period, New York Harbor spot heating oil had risen about 42 cents per gallon, reflecting both the crude price rise and a return to a more usual seasonal spread over the price of crude oil. The week ending January 21, heating oil spot prices in the Northeast spiked dramatically to record levels, closing on Friday at $1.26 per gallon -- up 50 cents from the prior week. Gulf Coast prices were not spiking, but were probably pulled slightly higher as the New York Harbor market began to

380

Lynn Price  

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

Lynn Price Lynn Price China Energy Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720 Office Location: 90-2108 (510) 486-6519 LKPrice@lbl.gov Lynn Price is a Staff Scientist and Leader of the China Energy Group of the Energy Analysis and Environmental Impacts Department, Environmental Energy Technologies Division, of Lawrence Berkeley National Laboratory. Ms. Price has a MS in Environmental Science from the University of Wisconsin-Madison and has worked at LBNL since 1990. Ms. Price has been a member of the Intergovernmental Panel on Climate Change, which won the Nobel Peace Prize in 2007, since 1994 and was an author on the industrial sector chapter of IPCC's Fourth Assessment Report on Mitigation of Climate Change. Since 1999, Ms. Price has provided technical assistance to the Energy

Note: This page contains sample records for the topic "wellhead price marketed" 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

Impact of farm policy on cotton prices in the United States: a study of cointegrated textile prices  

E-Print Network (OSTI)

, and numerous other individuals to get involved in the expectation of an associated price change. New agricultural policy, therefore, is a federal government interruption in "business as usual" cycles and serves to create fluctuations in market price...

Cook, Katherine Renee'

2012-06-07T23:59:59.000Z

382

Essays on Price Dynamics  

E-Print Network (OSTI)

Small Regular Price Changes . . . . . . . . . . . . . . .4 The Cyclicality of Effective Prices2.3 Wholesale Price vs. Retail

Hong, Gee Hee

2012-01-01T23:59:59.000Z

383

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network (OSTI)

in wholesale energy markets. Progress in Photovoltaics:designs (e.g. , an energy market with a price cap, combinedmarket designs feature an energy market with a lower price

Darghouth, Naim

2014-01-01T23:59:59.000Z

384

Voltage Stability Constrained OPF Market Models Considering N-1 Contingency Criteria  

E-Print Network (OSTI)

, standard auction markets, and spot-pricing or hybrid markets. Although several stud- ies have been prices has not been properly addressed. This paper focuses on hybrid markets and proposes two methods

Cañizares, Claudio A.

385

Market review: Market values summary July market review/current market data  

SciTech Connect

A summary of financial data for the uranium spot market is provided. Recent transactions are tabulated, including uranium sales, natural uranium loans, conversion sales, and enrichment sales. A market values summary and long-term price indicators are also provided. The July 1996 market review data includes summaries of near-term uranium sales, near-term supply/demand, NUEXCO values, USEC prices, and calculated worth of enriched uranium. Active projects in uranium, conversion, and separative work supply and demand are listed. International market values are tabulated for 22 selected currencies.

NONE

1996-08-01T23:59:59.000Z

386

Petroleum Marketing Annual 2007  

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

7 Released: August 29, 2008 Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner...

387

Petroleum Marketing Annual 2008  

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

8 Released: August 27, 2009 Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner...

388

Petroleum Marketing Monthly  

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

See footnotes at end of table. U.S. Energy Information Administration | Petroleum Marketing Monthly 14 December 2014 Table 6. U.S. refi ner motor gasoline prices by grade and...

389

Essays on Three Price Judgments: Price Fairness, Price Magnitude, and Price Expectation.  

E-Print Network (OSTI)

??This dissertation addresses three important price judgments: price fairness, price magnitude, and price expectation. Developed over three chapters, the main objective of this research is… (more)

Bhowmick, Sandeep

2010-01-01T23:59:59.000Z

390

World Oil: Market or Mayhem?  

E-Print Network (OSTI)

The world oil market is regarded by many as a puzzle. Why are oil prices so volatile? What is OPEC and what does OPEC do? Where are oil prices headed in the long run? Is “peak oil” a genuine concern? Why did oil prices ...

Smith, James L.

2008-01-01T23:59:59.000Z

391

Petroleum Products Table 31. Motor Gasoline Prices by Grade...  

Gasoline and Diesel Fuel Update (EIA)

by Grade, Sales Type, PAD District, and State 56 Energy Information Administration Petroleum Marketing Annual 1996 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD...

392

Table 21. Domestic Crude Oil First Purchase Prices  

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

Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

393

Table 21. Domestic Crude Oil First Purchase Prices  

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

Information AdministrationPetroleum Marketing Annual 1999 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

394

Table 21. Domestic Crude Oil First Purchase Prices  

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

Information AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

395

Stochastic Modeling and Analysis of Energy Commodity Spot Price Processes.  

E-Print Network (OSTI)

??Supply and demand in the World oil market are balanced through responses to price movement with considerable complexity in the evolution of underlying supply-demand expectation… (more)

Otunuga, Olusegun Michael

2014-01-01T23:59:59.000Z

396

The Role of Demand Response in Default Service Pricing  

E-Print Network (OSTI)

THE ROLE OF DEMAND RESPONSE IN DEFAULT SERVICE PRICING Galenfor providing much-needed demand response in electricitycompetitive retail markets, demand response often appears to

Barbose, Galen; Goldman, Chuck; Neenan, Bernie

2006-01-01T23:59:59.000Z

397

Real-Time Pricing of Electricity: An Assessment  

E-Print Network (OSTI)

. This paper reviews one of these new rate design proposals, "spot market" or "real-time" pricing, and discusses some recent implementations in Texas....

Baughman, M. L.; Zarnikau, J.

398

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

to time-of-day electricity pricing: first empirical results.S. The trouble with electricity markets: understandingresidential peak-load electricity rate structures. Journal

Herter, Karen

2006-01-01T23:59:59.000Z

399

Factors Influencing Oil Prices: A Survey of the Current State...  

Annual Energy Outlook 2012 (EIA)

Hamilton (2009a) points out, as have numerous other authors surveying the oil market (Smith, 2009; Fattouh, 2007), that to understand short run oil price behavior one must...

400

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Annual Energy Outlook 2012 (EIA)

Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

Note: This page contains sample records for the topic "wellhead price marketed" 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

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Administration Petroleum Marketing Annual 1995 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

402

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

AdministrationPetroleum Marketing Annual 1998 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

403

Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...  

Annual Energy Outlook 2012 (EIA)

Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

404

Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Administration Petroleum Marketing Annual 1995 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

405

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Annual Energy Outlook 2012 (EIA)

Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

406

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

407

Crude Oil Prices Table 21. Domestic Crude Oil First Purchase...  

Annual Energy Outlook 2012 (EIA)

Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

408

U.S. Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: One of the first places where consumers are feeling the impact of this winterÂ’s market pressures is in home heating oil prices. This chart shows prices for the last four winters, with this yearÂ’s prices shown through January 24, the most recent EIA data available. The general level of heating oil prices each year is largely a function of crude oil prices, and the price range over the course of the heating season is typically about 10 cents per gallon. Exceptions occur in unusual circumstances, such as very cold weather, large changes in crude oil prices, or supply problems. Although heating oil prices for consumers started this winter at similar levels to those in 1997, they already rose nearly 20 cents per gallon through mid-January. With the continuing upward pressure from crude

409

Correlation of Price to Inventory Levels  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: Gasoline prices move with changes in crude oil prices, and crude prices have varied significantly over the past decade, as illustrated above with the monthly average spot prices for West Texas Intermediate crude oil. Gasoline prices were as low as 91 cents per gallon in early 1999 when crude prices were very low, and were around $1.56 per gallon mid to late September 2000 when crude prices were high, even though the peak gasoline demand season was over at that point. We have observed that crude oil., like other commodities, responds to basic market fundamentals of supply and demand. Inventories are a good means of measuring the balance between demand and supply in the marketplace, and thus are a good barometer of price pressure. For example, when demand exceeds supply over and above the typical situation,

410

Definition: Critical Peak Pricing | Open Energy Information  

Open Energy Info (EERE)

Pricing Pricing Jump to: navigation, search Dictionary.png Critical Peak Pricing When utilities observe or anticipate high wholesale market prices or power system emergency conditions, they may call critical events during a specified time period (e.g., 3 p.m.-6 p.m. on a hot summer weekday), the price for electricity during these time periods is substantially raised. Two variants of this type of rate design exist: one where the time and duration of the price increase are predetermined when events are called and another where the time and duration of the price increase may vary based on the electric grid's need to have loads reduced;[1] Related Terms electricity generation References ↑ https://www.smartgrid.gov/category/technology/critical_peak_pricing Ret LikeLike UnlikeLike

411

Diesel Fuel Price Pass-through  

Gasoline and Diesel Fuel Update (EIA)

Diesel Fuel Price Pass-through Diesel Fuel Price Pass-through EIA Home > Petroleum > Petroleum Feature Articles Diesel Fuel Price Pass-through Printer-Friendly PDF Diesel Fuel Price Pass-through by Michael Burdette and John Zyren* Over the past several years, the Energy Information Administration (EIA) has extensively studied the relationships between wholesale and retail markets for petroleum products. Beginning with gasoline, we looked at the two ends of the pricing structure in the U.S. market: daily spot prices, which capture sales of large quantities of product between refiners, importers/exporters, and traders; and weekly retail prices, measured at local gasoline outlets nationwide. In the course of this analysis, EIA has found that the relationships between spot and retail prices are consistent and predictable, to the extent that changes in spot prices can be used to forecast subsequent changes in retail prices for the appropriate regions. This article represents the extension of this type of analysis and modeling into the diesel fuel markets.

412

Electricity Market Module  

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

Market Module Market Module This page inTenTionally lefT blank 101 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2013, DOE/EIA-M068(2013). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

413

Oil Prices, Volatility, and Shocks: A Survey  

Science Journals Connector (OSTI)

This paper surveys the literature on the economic effects of oil market developments. It assesses the economic theory behind oil price impacts and presents how the existing literature has analysed the link betwee...

Ulrich Oberndorfer

2014-01-01T23:59:59.000Z

414

Carbon auctions, energy markets & market power: An experimental analysis  

Science Journals Connector (OSTI)

Abstract This paper provides an experimental analysis of a simultaneous energy-emissions market under conditions of market power. The experimental design employs real-world institutional features; including stochastic demand, permit banking, inter-temporal (multi-round) dynamics, a tightening cap, and resale. The results suggest that dominant firms can utilize energy-emissions market linkages to simultaneously inflate the price of energy and suppress the price of emissions allowances. Whereas under prior market designs, regulators were concerned with dominant firms exercising their market power over the emissions market to exclude rivals and manipulate the permit market by hoarding permits; the results of this paper suggest that this strategy is less profitable to dominant firms in contemporary auction-based markets than strategic capacity withholding in the energy market and associated demand reduction in the emissions market.

Noah C. Dormady

2014-01-01T23:59:59.000Z

415

Petroleum Marketing Annual 1997  

Gasoline and Diesel Fuel Update (EIA)

7 7 Entire . The entire report as a single file. PDF 1.2MB . . Front Matter . Petroleum Marketing Annual Cover Page, Contacts, Preface, and Table of Contents PDF . . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF TXT

416

Petroleum Marketing Annual  

Gasoline and Diesel Fuel Update (EIA)

9 9 Entire . The entire report as a single file. PDF 1.2MB . Front Matter . Petroleum Marketing Annual Cover Page, Preface, and Table of Contents PDF . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF TXT

417

Petroleum Marketing Annual  

Gasoline and Diesel Fuel Update (EIA)

5 5 Entire . The entire report as a single file. PDF 2.9MB . . Front Matter . Petroleum Marketing Annual Cover Page, Contacts, Preface, and Table of Contents PDF . . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF 2 U.S. Refiner Prices of Petroleum Products to End Users PDF 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF 4 U.S. Refiner Prices of Petroleum Products for Resale PDF 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF 9 U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type PDF

418

Petroleum Marketing Annual  

Gasoline and Diesel Fuel Update (EIA)

6 6 Entire . The entire report as a single file. PDF 2.9MB . . Front Matter . Petroleum Marketing Annual Cover Page, Contacts, Preface, and Table of Contents PDF . . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF 2 U.S. Refiner Prices of Petroleum Products to End Users PDF 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF 4 U.S. Refiner Prices of Petroleum Products for Resale PDF 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF 9 U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type PDF

419

Retail Heating Oil and Diesel Fuel Prices  

Gasoline and Diesel Fuel Update (EIA)

Because of the higher projected crude oil prices and because of Because of the higher projected crude oil prices and because of increased tightening in the Northeast heating oil market since the last Outlook, we now expect prices this winter for residential heating oil deliveries to peak at $1.52 per gallon in January. This is significantly above the monthly peak reached last winter. Because these figures are monthly averages, we expect some price movements for a few days to be above the values shown on the graph. This winter's expected peak price would be the highest on record in nominal terms, eclipsing the high set in February 2000. However, in real (constant dollar) terms, both of these prices remain well below the peak reached in March 1981, when the average residential heating oil price was $1.29 per gallon, equivalent to over $2.50 per gallon today.

420

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

May 2010 May 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 May 11, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged $84 per barrel in April 2010, about $3 per barrel above the prior month's average and $2 per barrel higher than forecast in last month's Outlook. EIA projects WTI prices will average about $84 per barrel over the second half of this year and rise to $87 by the end of next year, an increase of about $2 per barrel from the previous Outlook (West Texas Intermediate Crude Oil Price Chart). Energy price forecasts are highly uncertain, as history has shown. Prices for near-term futures options contracts suggest that the market attaches

Note: This page contains sample records for the topic "wellhead price marketed" 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

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 1 June 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 June 8, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged less than $74 per barrel in May 2010, almost $11 per barrel below the prior month's average and $7 per barrel lower than forecast in last month's Outlook. EIA projects WTI prices will average about $79 per barrel over the second half of this year and rise to $84 by the end of next year, a decrease of about $3 per barrel from the previous Outlook (West Texas Intermediate Crude Oil Price Chart). Energy price forecasts are highly uncertain, as history has shown. Prices for near-term futures options contracts suggest that the market attaches

422

Comfort-Aware Home Energy Management Under Market-Based Demand-Response  

E-Print Network (OSTI)

Comfort-Aware Home Energy Management Under Market-Based Demand-Response Jin Xiao, Jian Li, Raouf-based pricing. In peak capping, each home is allocated an energy quota. In market-based pricing, the price of energy varies based on market supply-demand. Market-based This research was supported by World Class

Boutaba, Raouf

423

Competition in a spatial retail petroleum market.  

E-Print Network (OSTI)

??This thesis examines the behaviour of retail petroleum markets, with a case study examining prices in Perth, Australia. The aim of the thesis is two-fold.… (more)

Wills-Johnson, Nick

2010-01-01T23:59:59.000Z

424

Advertising in Markets with Consumption Externalities.  

E-Print Network (OSTI)

??This paper extends the entry deterrence literature by examining coordinating advertising in markets with consumption externalities using a stochastic success function. Optimal advertising and pricing… (more)

Whelan, Adele

2014-01-01T23:59:59.000Z

425

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

Solar Energy Market Forecast Solar Energy Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Solar Topics: Market analysis, Technology characterizations Resource Type: Publications Website: giffords.house.gov/DOE%20Perspective%20on%20Solar%20Market%20Evolution References: Solar Energy Market Forecast[1] Summary " Energy markets / forecasts DOE Solar America Initiative overview Capital market investments in solar Solar photovoltaic (PV) sector overview PV prices and costs PV market evolution Market evolution considerations Balance of system costs Silicon 'normalization' Solar system value drivers Solar market forecast Additional resources"

426

47 Natural Gas Market Trends NATURAL GAS MARKET TRENDS  

E-Print Network (OSTI)

47 Natural Gas Market Trends Chapter 5 NATURAL GAS MARKET TRENDS INTRODUCTION Natural gas discusses current natural gas market conditions in California and the rest of North America, followed on the outlook for demand, supply, and price of natural gas for the forecasted 20-year horizon. It also addresses

427

Green Power Network: Green Pricing  

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

Table of Utility Programs by State Table of Utility Programs by State List of Utilities Offering Green Power Top Ten Utility Green Power Programs Green Power Marketing Green Certificates Carbon Offsets State Policies Green Pricing Green pricing is an optional utility service that allows customers an opportunity to support a greater level of utility company investment in renewable energy technologies. Participating customers pay a premium on their electric bills to cover the incremental cost of the additional renewable energy. To date, more than 860 utilities, including investor-owned, municipal utilities, and cooperatives, offer a green pricing option. Table of Utility Programs by State List of Utilities Offering Green Power Top Ten Utility Green Power Programs National Green Pricing Map

428

Charges, Costs and Market Power: the Deregulated UK Electricity Retail Market  

E-Print Network (OSTI)

of this paper, entitled Pricing Structures in the Deregulated UK Electricity Market. We are particularly for electricity, one of the basic utilities, on the date when the final price constraints were removed from1 Charges, Costs and Market Power: the Deregulated UK Electricity Retail Market Evens Salies

Boyer, Edmond

429

Dynamic Pricing of Perishable Assets under Competition Guillermo Gallego  

E-Print Network (OSTI)

other: equilibrium prices are resolved from a one-shot competitive game with the current-time demand challenges for airlines to profitably maintain pricing responsiveness to competitors' strategies. The real-time competitive pricing problem is further complicated by the fact that the aggregate market demands

Gallego, Guillermo

430

Optimal Time-of-Use Pricing For Residential Load Control  

E-Print Network (OSTI)

a novel algorithm for finding an optimum time-of-use electricity pricing in monopoly utility markets implementing a demand response strategy. Finally, the effect of demand response in electricity prices to changes in the price of electricity over time via incentive payments designed to induce lower electricity

Kumar, Sunil

431

Addressing the Level of Florida's Electricity Prices Theodore Kury1  

E-Print Network (OSTI)

Addressing the Level of Florida's Electricity Prices Theodore Kury1 Public of electricity prices by state changes over time due to a number of factors: · Investment decisions ratepayers; · Electric utilities also buy on the spot market and prices can fluctuate quickly when

Jawitz, James W.

432

POWER '99 Conference 1 Stochastic Models of Electricity Spot Price  

E-Print Network (OSTI)

spread call options. power spot price delivery at PV gas spot price SoCal system 8000 heat rate When power. When the spot market implied heat rate is below the unit operating heat rate, generator should1 POWER '99 Conference 1 Stochastic Models of Electricity Spot Price and their Applications Shijie

California at Berkeley. University of

433

Modelling spot and forward prices for energy companies  

E-Print Network (OSTI)

Modelling spot and forward prices for energy companies Dafydd Steele MSc Stochastics and Financial forward and spot prices for energy com- panies. The two main ways of modelling power prices are stochastic markets (coal, gas and power). The fundamental model is a mixed-integer programming stack model

Bhulai, Sandjai

434

Empirical Regularities of Asymmetric Pricing in the Gasoline Industry  

E-Print Network (OSTI)

Empirical Regularities of Asymmetric Pricing in the Gasoline Industry Marc Remer August 2, 2010 pricing in the retail gasoline industry, and also documents empirical regularities in the market. I find of asymmetric price movements in the retail gasoline industry. Yet, there is no general agreement as to whether

Niebur, Ernst

435

Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing  

E-Print Network (OSTI)

and EC2 spot market. Furthermore, we formulate the optimal capacity segmentation strategy as a MarkovTowards Optimal Capacity Segmentation with Hybrid Cloud Pricing Wei Wang, Baochun Li, and Ben Liang markets with different service guarantees. For example, Amazon EC2 prices virtual instances under three

Li, Baochun

436

Mechanism Design for Capacity Allocation with Price Competition  

E-Print Network (OSTI)

. This paper examines the problem of mechanism design for capacity allocation in two connected markets whereMechanism Design for Capacity Allocation with Price Competition Masabumi Furuhata Intelligent-users in price competition. We consider the problems of how allocation mechanisms in the upstream market de

Zhang, Dongmo

437

MARKETING AND POLICY BRIEFING PAPER  

E-Print Network (OSTI)

MARKETING AND POLICY BRIEFING PAPER Department of Agricultural and Applied Economics, College recently been focused on retail fluid milk prices, especially in Northeastern markets. Based on alleged the "fairness" of marketing margins is a difficult task. There are unavoidable costs in selling milk. Some, like

Radeloff, Volker C.

438

Motor fuel prices in Turkey  

Science Journals Connector (OSTI)

Abstract The world?s most expensive motor fuel (gasoline, diesel and LPG) is sold most likely in the Republic of Turkey. This paper investigates the key issues related to the motor fuel prices in Turkey. First of all, the paper analyses the main reason behind high prices, namely motor fuel taxes in Turkey. Then, it estimates the elasticity of motor fuel demand in Turkey using an econometric analysis. The findings indicate that motor fuel demand in Turkey is quite inelastic and, therefore, not responsive to price increases caused by an increase in either pre-tax prices or taxes. Therefore, fuel market in Turkey is open to opportunistic behavior by firms (through excessive profits) and the government (through excessive taxes). Besides, the paper focuses on the impact of high motor fuel prices on road transport associated activities, including the pattern of passenger transportation, motorization rate, fuel use, total kilometers traveled and CO2 emissions from road transportation. The impact of motor fuel prices on income distribution in Turkey and Turkish public opinion about high motor fuel prices are also among the subjects investigated in the course of the study.

Erkan Erdogdu

2014-01-01T23:59:59.000Z

439

Charges, Costs and Market Power in the Deregulated UK Electricity Retail Market  

E-Print Network (OSTI)

by competitive forces in unregulated residential energy markets. We assess the competitiveness of the market: Energy: Pricing, Market Power Acknowledgements: We are grateful for financial support from the EconomicCharges, Costs and Market Power in the Deregulated UK Electricity Retail Market by Evens Salies

Feigon, Brooke

440

Bilateral Negotiation in a Multi-Agent Energy Market  

Science Journals Connector (OSTI)

Energy markets are systems for effecting the purchase and ... demand to set the price. A typical energy market involves a wholesale market for electricity generation, when competing generators offer ... electrici...

Fernando Lopes; A. Q. Novais; Helder Coelho

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wellhead price marketed" 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

Factors Affecting Cotton Producers' Choice of Marketing Outlet  

E-Print Network (OSTI)

In recent years, changes in government policies, supply and demand fundamentals and price patterns in the cotton market have led to several shifts in how producers market their cotton. This thesis examined producer cash marketing choices, including...

Pace, Jason 1979-

2012-08-16T23:59:59.000Z

442

Private and public discrepancy : the anatomy of valuation in market  

E-Print Network (OSTI)

The popular explanations of market bubbles, based on the classical economic assumption that market prices incorporate market participants' private valuations, argue that bubbles are caused by the collective delusion of ...

Zhang, Jiayin

2014-01-01T23:59:59.000Z

443

The application of prediction markets to business  

E-Print Network (OSTI)

According to financial theory, open markets efficiently and effectively aggregate all available information about future events into their prices. Recent empirical evidence has shown that speculative markets, from gambling ...

Schrieber, Jared M. (Jared Martin), 1976-

2004-01-01T23:59:59.000Z

444

Energy Efficiency in Regulated and Deregulated Markets  

E-Print Network (OSTI)

at 274. 10. Id. 11. Id. ENERGY EFFICIENCY relative to market2002). 19. See id. at 204-205. ENERGY EFFICIENCY prices,it renders energy efficiency less attractive. In a market

Rotenberg, Edan

2005-01-01T23:59:59.000Z

445

Impact of Natural Gas Price Decontrol on Gas Supply, Demand and Prices  

E-Print Network (OSTI)

is increasingly supplemented by supplies from coal gasification, Alaska, unconventional sources, LNG, Canada, and Mexico. At the same time, however, gas demand is characterized by price-induced conservation in all markets, together with continuing gas demand...

Schlesinger, B.

1982-01-01T23:59:59.000Z

446

Public Comment re Price-Anderson Act | Department of Energy  

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

Comment re Price-Anderson Act Comment re Price-Anderson Act Public Comment re Price-Anderson Act Preparation of Report to Congress on Price-Anderson Act. The Price Anderson Act should be eliminated. The Price Anderson Act assumes that the encouragement and growth of the commercial nuclear industry is in the public interest. It is not. Rational evaluation of the commercial nuclear industry forces the conclusion that the Price Anderson Act simply shields the commercial nuclear industry from costs that it would otherwise, in a fair market setting, be forced to internalize and pay. Price Anderson amounts to corporate welfare that has already caused a massive disruption of energy markets, and the abusiveness enabled by this welfare system threatens to dislodge society from its ecological as

447

OIL AND NATURAL GAS PRICES: TOGETHER AGAIN? 1 Prakash Loungani (International Monetary Fund)  

E-Print Network (OSTI)

Crude oil and natural gas are important energy sources. Their prices in the U.S. are volatile and nominal rigidity does not play an important role. In addition, the law of one price between German and the U.S. markets holds quite well in the sense that the relative price exhibits stationarity. However, the natural gas prices in the two markets have diverged recently. We show that this is due to structural changes in the U.S. natural gas market rather than long term based contract prices in Germany. Nonetheless we conjecture future recovery of the law of one price.

Akito Matsumoto (international Monetary Fund

448

Trends in Utility Green Pricing Programs (2005)  

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

This report presents year-end 2005 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs. It is important to note that this report covers only a portion of voluntary markets for renewable energy. It does not cover green power sold by independent marketers except for cases in which the marketers work in conjunction with utilities or default electricity suppliers.

449

Energy Spot Price Models and Spread Options Pricing Samuel Hikspoors and Sebastian Jaimungal a  

E-Print Network (OSTI)

). The world wide energy commodities markets have created a need for a deeper quan- titative understandingEnergy Spot Price Models and Spread Options Pricing Samuel Hikspoors and Sebastian Jaimungal a a Department of Statistics and Mathematical Finance Program, University of Toronto, 100 St. George Street

Jaimungal, Sebastian

450

DOCUMENTS DE TRAVAIL -WORKING PAPERS Testing Optimal Punishment Mechanisms under Price  

E-Print Network (OSTI)

of market studies indicating that "major Canadian oil companies were going to use price wars, new creditDOCUMENTS DE TRAVAIL - WORKING PAPERS W.P. 06-11 Testing Optimal Punishment Mechanisms under Price under Price Regulation: the Case of the Retail Market for Gasoline By Robert Gagné* , HEC Montréal, CRT

Paris-Sud XI, Université de

451

Retrospective Evaluation of Appliance Price Trends  

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

Evaluation of Appliance Price Trends Evaluation of Appliance Price Trends Title Retrospective Evaluation of Appliance Price Trends Publication Type Journal Article Year of Publication 2009 Authors Dale, Larry L., Camille Antinori, Michael A. McNeil, James E. McMahon, and Sydny K. Fujita Journal Energy Policy Volume 37 Issue 2 Pagination 597-605 Date Published November 20 Keywords appliance efficiency standards, price forecasts, EES-EG Abstract Real prices of major appliances (refrigerators, dishwashers, heating and cooling equipment) have been falling since the late 1970s despite increases in appliance efficiency and other quality variables. This paper demonstrates that historic increases in efficiency over time, including those resulting from minimum efficiency standards, incur smaller price increases than were expected by the Department of Energy (DOE) forecasts made in conjunction with standards. This effect can be explained by technological innovation, which lowers the cost of efficiency, and by market changes contributing to lower markups and economies of scale in production of higher efficiency units. We reach four principal conclusions about appliance trends and retail price setting:1. For the past several decades, the retail price of appliances has been steadily falling while efficiency has been increasing.2. Past retail price predictions made by the DOE analyses of efficiency standards, assuming constant prices over time, have tended to overestimate retail prices.3. The average incremental price to increase appliance efficiency has declined over time. DOE technical support documents have typically overestimated this incremental price and retail prices.4. Changes in retail markups and economies of scale in production of more efficient appliances may have contributed to declines in prices of efficient appliances.

452

Understanding Crude Oil Prices  

E-Print Network (OSTI)

2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crude023 Understanding Crude Oil Prices James D. Hamilton June

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

453

Understanding Crude Oil Prices  

E-Print Network (OSTI)

2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crudein predicting quarterly real oil price change. variable real

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

454

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 1 September 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 September 8, 2010 Release Crude Oil Prices. West Texas Intermediate (WTI) crude oil spot prices averaged about $77 per barrel in August 2010, very close to the July average, but $3 per barrel lower than projected in last month's Outlook. WTI spot prices averaged almost $82 per barrel over the first 10 days of August but then fell by $9 per barrel over the next 2 weeks as the market reacted to a series of reports of a stumbling economic recovery. EIA has lowered its average fourth quarter 2010 WTI spot price forecast to $77 per barrel, compared with $81 in last month's Outlook. WTI spot prices are projected to

455

Short-Term World Oil Price Forecast  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: This graph shows monthly average spot West Texas Intermediate crude oil prices. Spot WTI crude oil prices peaked last fall as anticipated boosts to world supply from OPEC and other sources did not show up in actual stocks data. So where do we see crude oil prices going from here? Crude oil prices are expected to be about $28-$30 per barrel for the rest of this year, but note the uncertainty bands on this projection. They give an indication of how difficult it is to know what these prices are going to do. Also, EIA does not forecast volatility. This relatively flat forecast could be correct on average, with wide swings around the base line. Let's explore why we think prices will likely remain high, by looking at an important market barometer - inventories - which measures the

456

Retail Heating Oil and Diesel Fuel Prices  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: Because of the higher projected crude oil prices and because of increased tightening in the Northeast heating oil market since the last Outlook, we now expect prices this winter for residential heating oil deliveries to peak at about $1.52 per gallon in January. This is significantly above the monthly peak reached last winter. Because these figures are monthly averages, we expect some price movements for a few days to be above the values shown on the graph. This winter's expected peak price would be the highest on record in nominal terms, eclipsing the high set in February 2000. However, in real (constant dollar) terms, both of these prices remain well below the peak reached in March 1981, when the average residential heating oil price was $1.29 per gallon, equivalent to over $2.50 per gallon today.

457

Performance, Market and Manufacturing Constraints relevant to the Industrialization of Thermoelectric Devices  

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

Market pricing of thermoelectric raw materials and processing, cost of manufacture of devices and systems constraints on the viability of a mass market thermoelectric product are discussed

458

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page inTenTionally lefT blank 91 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2012, DOE/EIA-M068(2012). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

459

Petroleum Marketing Annual 2009  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Marketing Annual 2009 Petroleum Marketing Annual 2009 Released: August 6, 2010 Monthly price and volume statistics on crude oil and petroleum products at a national, regional and state level. Notice: Changes to EIA Petroleum Data Program Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Previous Issues --- Previous reports are available on the historical page. Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner Acquisition Cost of Crude Oil by PAD Districts HTML PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users HTML PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT Motor Gasoline to End Users HTML Residual Fuel Oil and No. 4 Fuel to End Users HTML Other Petroleum Products to End Users HTML

460

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 95 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2011, DOE/EIA-M068(2011). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

Note: This page contains sample records for the topic "wellhead price marketed" 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

A STRUCTURAL MODEL FOR ELECTRICITY PRICES RENE CARMONA, MICHAEL COULON, AND DANIEL SCHWARZ  

E-Print Network (OSTI)

A STRUCTURAL MODEL FOR ELECTRICITY PRICES RENE CARMONA, MICHAEL COULON, AND DANIEL SCHWARZ Abstract pricing in electricity markets, thus extending the growing branch of liter- ature which describes power prices for electricity. We capture both the heavy-tailed nature of spot prices and the complex dependence

Carmona, Rene

462

Market power analysis in electricity markets using supply function equilibrium model  

Science Journals Connector (OSTI)

......market operator aggregates the supply and demand bid curves to determine market clearing prices as well as the corresponding supply and demand schedules. In our model, we do not consider the demand side bidding because the load is almost inelastic......

Tao Li; Mohammad Shahidehpour; Ali Keyhani

2004-10-01T23:59:59.000Z

463

Marketing Milk Under Federal Orders in Texas.  

E-Print Network (OSTI)

, but not excessive, supply to meet the demands of the market-including the necessary reserve supply -that is, at economic values. Milk marketing history has shown that supply or demand char- acteristics, or the general level of prices can !3 - TABLE 4. PERCENT... specifies that milk prices are e i reported paid or to be paid for milk oil based on 4 percent butterfat, it to convert the price announced cent butterfat milk to a value per huna? weight for 4.0 percent milk. The art:] price reported to the market...

Stelly, Randall

1960-01-01T23:59:59.000Z

464

Gasoline Price Differences Caused by:  

Gasoline and Diesel Fuel Update (EIA)

0 0 Notes: While my agency cannot be expert in every local gasoline market in the United States, we are familiar with a number of factors that can account for significant differences in prices between markets: Proximity of supply - distance from the refineries supplying the local market. Additionally, the proximity of those refineries to crude oil supplies can be a factor, as well as shipping logistics, including pipeline or waterborne, from refinery to market. Cost of supply - including crude oil, refinery operating, and transportation costs. Supply/demand balance - some regions are typically in excess or short supply, while others may vary seasonally, or when supply interruptions (such as refinery shutdowns) occur. Competitive environment - including the number of suppliers, and the

465

Communication impacting financial markets  

E-Print Network (OSTI)

Behavioral finance has become an increasingly important subfield of finance. However the main parts of behavioral finance, prospect theory included, understand financial markets through individual investment behavior. Behavioral finance thereby ignores any interaction between participants. We introduce a socio-financial model that studies the impact of communication on the pricing in financial markets. Considering the simplest possible case where each market participant has either a positive (bullish) or negative (bearish) sentiment with respect to the market, we model the evolution of the sentiment in the population due to communication in subgroups of different sizes. Nonlinear feedback effects between the market performance and changes in sentiments are taking into account by assuming that the market performance is dependent on changes in sentiments (e.g. a large sudden positive change in bullishness would lead to more buying). The market performance in turn has an impact on the sentiment through the trans...

Andersen, Jorgen Vitting; Dellaportas, Petros; Galam, Serge

2014-01-01T23:59:59.000Z

467

Modelling spikes and pricing swing options in electricity Ben Hambly Sam Howison Tino Kluge  

E-Print Network (OSTI)

Modelling spikes and pricing swing options in electricity markets Ben Hambly Sam Howison Tino Kluge of electricity markets is the formation of price spikes which are caused when the maximum supply and current April 24, 2007 Abstract Most electricity markets exhibit high volatilities and occasional distinctive

Howison, Sam

468

Petroleum Marketing Annual 2009  

Gasoline and Diesel Fuel Update (EIA)

Released: August 6, 2010 Released: August 6, 2010 Notice: Price data for petroleum products will be changed from cents per gallon to dollars per gallon later this year for the 2010 data. Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner Acquisition Cost of Crude Oil by PAD Districts PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT

469

Petroleum Marketing Annual 2007  

Gasoline and Diesel Fuel Update (EIA)

7 7 Released: August 29, 2008 Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner Acquisition Cost of Crude Oil by PAD Districts PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF TXT 9 U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type PDF TXT

470

Petroleum Marketing Annual 2008  

Gasoline and Diesel Fuel Update (EIA)

8 8 Released: August 27, 2009 Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner Acquisition Cost of Crude Oil by PAD Districts PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF TXT 9 U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type PDF TXT

471

Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy  

E-Print Network (OSTI)

Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy Ashley Langer University evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We consumer preferences for fuel efficiency. Keywords: automobile prices, gasoline prices, environmental

Sadoulet, Elisabeth

472

Abstract--This doctoral thesis presents a methodological framework which integrates, in a uniform way, a number of important parameters that influence the prices of telecommunications  

E-Print Network (OSTI)

way, a number of important parameters that influence the prices of telecommunications products and services. Given the above methodological framework, significant problems of telecommunication market to the construction of price indices in the telecommunications market. The design of networks together

Kouroupetroglou, Georgios

473

Electricity price modeling and asset valuation: a multi-fuel structural approach  

Science Journals Connector (OSTI)

We introduce a new and highly tractable structural model for spot and derivative prices in electricity markets. Using a stochastic model ... we translate the demand for power and the prices of generating fuels in...

René Carmona; Michael Coulon; Daniel Schwarz

2013-03-01T23:59:59.000Z

474

Different Factors Impact Different Aspects of Gasoline Price  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: In order to illustrate and quantify, to a large extent, the various market forces driving gasoline prices, we begin by decomposing those factors according to their location within the supply chain, i.e., the international crude market, U.S. wholesale gasoline markets, and the retail segment. Historically, variation in gasoline prices usually stems from changes in crude oil prices. As the major feedstock in the production of gasoline, shifts in the balance between supply and demand in crude markets explain a large portion of observed movements at the retail level. But shifts in the wholesale gasoline supply/demand balance also contribute to price pressure or movements at both the wholesale and retail levels beyond that stemming from crude oil markets.

475

An evaluation of product formulas as an alternative to the Minnesota-Wisconsin price series  

E-Print Network (OSTI)

price used is known as the Minaesota-Wisconsin (M-W) price serieL The M-W price is the estimated average price paid for grade B milk by plants in Minnesota and Wisconsin. The M-W price is intended to reflect a market-determined price for milk used... is the estimated average plant cost to process a cwt of milk into various manufactured dairy products. As of December 1956, 84 percent of the orders used a product price formula as a factor for pricing migt in excess of fluid needs, and 25 percent used a product...

Keough, Mary J

2012-06-07T23:59:59.000Z

476

U.S. Distillate Market  

Gasoline and Diesel Fuel Update (EIA)

diesel and heating fuel prices diesel and heating fuel prices surged. The largest increases occurred in the distillate-based fuels (heating oil and diesel) in the Northeast. The main factors driving up these prices were low stocks leading into January, followed by a bout of severe weather that impacted both supply and demand. Warmer weather and the arrival of new supply, mainly imports, relieved the supply/demand imbalance and brought prices back down. The spike is now behind us, but high crude prices are keeping prices above year-ago levels. The low stock situation that set the stage for the distillate price spike was not unique to the United States, Low stocks exist worldwide and are not limited to distillate. The low stock situation stems from what is happening in the crude oil markets. A crude oil supply shortage drove crude

477

Chapter 4. Participating in Markets for Electrical Energy  

E-Print Network (OSTI)

Chapter 4. Participating in Markets for Electrical Energy 1 #12;Previously: we have discussed on the wholesale market and sell it a fixed price at the retail level. The quantity-weighted average price at which the basic principles of electricity markets. Now: we discuss the decisions that generators, consumers

Ernst, Damien

478

The dynamics of commodity spot and futures markets  

E-Print Network (OSTI)

I discuss the short-run dynamics of commodity prices, production, and inventories, as well as the sources and effects of market volatility. I explain how prices, rates of production, and inventory levels are interrelated, ...

Pindyck, Robert S.

2001-01-01T23:59:59.000Z

479

Eric S. Schubert is a Senior Market Economist at the Wholesale Market Oversight of the Public  

E-Print Network (OSTI)

establishes an Energy-Only resource adequacy mechanism in the ERCOT electricity market, relaxes the $1,000 per and Shmuel Oren I. Introduction The energy market posts a real- time clearing price of $1,000 per MWhEric S. Schubert is a Senior Market Economist at the Wholesale Market Oversight of the Public

Oren, Shmuel S.

480

PRICE GOUGING | Department of Energy  

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

PRICE GOUGING PRICE GOUGING PRICE GOUGING More Documents & Publications PRICE GOUGING Department of Energy Response to Hurricane Katrina Fact Sheet Department of Energy Response to...

Note: This page contains sample records for the topic "wellhead price marketed" 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

Markets & Finance - Analysis & Projections - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

Most Requested Most Requested Change category... Most Requested Electricity Financial Markets Financial Reporting System All Reports Filter by: All Data Analysis Projections Weekly Reports Today in Energy - Markets & Finance Short, timely articles with graphs about recent issues and trends in financial markets Monthly Reports Market Prices and Uncertainty Report Released: January 7, 2014 This is a regular monthly supplement to the EIA Short-Term Energy Outlook. (archived versions) Archived Versions Market Prices and Uncertainty Report - Archive Energy & Financial Markets: What Drives Crude Oil Prices? Released: December 14, 2011 An assessment of the various factors that may influence oil prices - physical market factors as well as those related to trading and financial

482

Price discovery in crude oil futures  

Science Journals Connector (OSTI)

Abstract This study examines price discovery among the two most prominent price benchmarks in the market for crude oil, WTI sweet crude and Brent sweet crude. Using data on the most active futures contracts measured at the one-second frequency, we find that WTI maintains a dominant role in price discovery relative to Brent, with an estimated information share in excess of 80%, over a sample from 2007 to 2012. Our analysis is robust to different decompositions of the sample, over pit-trading sessions and non-pit trading sessions, segmentation of days associated with major economic news releases, and data measured to the millisecond. We find no evidence that the dominant role of WTI in price discovery is diminished by the price spread between Brent that emerged in 2008.

John Elder; Hong Miao; Sanjay Ramchander

2014-01-01T23:59:59.000Z

483

Are there really bubbles in oil prices?  

Science Journals Connector (OSTI)

Abstract The aim of this paper is to identify bubbles in oil prices by using the “exponential fitting” methodology proposed by Watanabe et al. (2007)  [28,29]. We use the daily US dollar closing crude oil prices of West Texas Intermediate (WTI) covering the 1986:01:02–2013:07:09 and the Brent for the 1987:05:20–2013:07:09 periods. The distinguishing feature of this study from the previous studies is that this is the first study in the literature showing the existence of bubbles in crude oil prices. We found that there are four distinct periods of persistent bubbles in the crude oil prices since 1986. Two of these persistent bubbles are before 2000 and two of them are after 2000. We conclude that further research is needed to understand better how futures markets may impact the oil price formation.

Mehmet Balcilar; Zeynel Abidin Ozdemir; Hakan Yetkiner

2014-01-01T23:59:59.000Z

484

EIA - Analysis of Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

Prices Prices 2010 Peaks, Plans and (Persnickety) Prices This presentation provides information about EIA's estimates of working gas peak storage capacity, and the development of the natural gas storage industry. Natural gas shale and the need for high deliverability storage are identified as key drivers in natural gas storage capacity development. The presentation also provides estimates of planned storage facilities through 2012. Categories: Prices, Storage (Released, 10/28/2010, ppt format) Natural Gas Year-In-Review 2009 This is a special report that provides an overview of the natural gas industry and markets in 2009 with special focus on the first complete set of supply and disposition data for 2009 from the Energy Information Administration. Topics discussed include natural gas end-use consumption trends, offshore and onshore production, imports and exports of pipeline and liquefied natural gas, and above-average storage inventories. Categories: Prices, Production, Consumption, Imports/Exports & Pipelines, Storage (Released, 7/9/2010, Html format)

485

M&PBP #81 Page 1 of 11 MARKETING AND POLICY  

E-Print Network (OSTI)

.8100 Instant 0.9625 Source: Dairy Market News. Historical data on price support levels and CCC purchase prices, University of Wisconsin-Extension Paper No, 81 March 2003 Flooring the Support Price for Milk Ed Jesse1 Price Support Background The Dairy Price Support Program has operated continuously since 1949 to maintain

Radeloff, Volker C.

486

Coal - prices tumble as the glut continues  

SciTech Connect

The oil price collapse was the major event affecting coal markets around the world in 1986. The 8% expansion in international coal trade in 1985 was halted, and prices fell considerably. World coking coal trade declined and import and export prices fell due to a decrease in steel production and the use of oil, rather than pulverized coal, in blast furnaces. However steam coal trade increased by about 5 million mt because of various institutional constraints to utilities switching from coal burning to oil burning. The article covers coal trade and production in the following countries: Australia; Canada; China; Colombia; Western Europe; Japan; Poland; South Africa; and the USSR.

Lee, H.M.

1987-03-01T23:59:59.000Z

487

Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...  

Gasoline and Diesel Fuel Update (EIA)

200 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District (Cents per Gallon...

488

Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...  

Gasoline and Diesel Fuel Update (EIA)

200 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District (Cents per Gallon...

489

Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration Petroleum Marketing Annual 1995 Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District (Cents per Gallon...

490

Table A2. Refiner/Reseller Prices of Aviation Fuels, Propane...  

Gasoline and Diesel Fuel Update (EIA)

Marketing Annual 1995 467 Table A2. RefinerReseller Prices of Aviation Fuels, Propane, and Kerosene, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) -...

491

Table A2. Refiner/Reseller Prices of Aviation Fuels, Propane...  

Gasoline and Diesel Fuel Update (EIA)

Marketing Annual 1999 421 Table A2. RefinerReseller Prices of Aviation Fuels, Propane, and Kerosene, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) -...

492

Table 23. Domestic Crude Oil First Purchase Prices by API Gravity  

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

EIA-182, "Domestic Crude Oil First Purchase Report." 23. Domestic Crude Oil First Purchase Prices by API Gravity Energy Information Administration Petroleum Marketing Annual 1996...

493

Table 23. Domestic Crude Oil First Purchase Prices by API Gravity  

Gasoline and Diesel Fuel Update (EIA)

"Domestic Crude Oil First Purchase Report." 23. Domestic Crude Oil First Purchase Prices by API Gravity Energy Information Administration Petroleum Marketing Annual 1997...

494

Strategic power plant investment planning under fuel and carbon price uncertainty.  

E-Print Network (OSTI)

??The profitability of power plant investments depends strongly on uncertain fuel and carbon prices. In this doctoral thesis, we combine fundamental electricity market models with… (more)

Geiger, Ansgar

2011-01-01T23:59:59.000Z

495

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

Annual Energy Outlook 2012 (EIA)

56 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

496

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

Annual Energy Outlook 2012 (EIA)

56 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

497

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

498

Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...  

Annual Energy Outlook 2012 (EIA)

AdministrationPetroleum Marketing Annual 1999 401 Table A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District and State, 1984-Present (Cents per Gallon Excluding...

499

Understanding Crude Oil Prices  

E-Print Network (OSTI)

2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),023 Understanding Crude Oil Prices James D. Hamilton Junedirectly. Understanding Crude Oil Prices* James D. Hamilton

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

500

Steadying of oil prices  

Science Journals Connector (OSTI)

Oil prices have fallen below the 30 dollar mark ... in the lower half of OPEC’s target price band. Will OPEC manage to maintain high prices and revenues by restricting production?

Klaus Matthies