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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.


1

Natural Gas Wellhead Price  

Annual Energy Outlook 2012 (EIA)

Wellhead Price Marketed Production Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By:...

2

Natural Gas Wellhead Prices  

U.S. Energy Information Administration (EIA)

Slide 19 of 27. Price: Wellhead. Natural gas wellhead prices are projected to move up 5 percent this winter, averaging about $2.28 per Mcf during this ...

3

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

4

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)

5

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

6

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

7

Natural Gas Wellhead Price  

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

included in Prices Electric Power Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

8

South Dakota Natural Gas Wellhead Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

View History: Annual Download Data (XLS File) South Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) South Dakota Natural Gas Wellhead Price (Dollars per...

9

Natural Gas Wellhead Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Wellhead Value and Marketed Production ... Pennsylvania: NA: NA: NA: NA : 1967-2010: South Dakota: 7.22: 7.94: NA: NA : 1979-2010: Tennessee: 6.63: 8.85 ...

10

California Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Wellhead Price (Dollars per Thousand Cubic Feet) California Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

11

Arizona Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Wellhead Price (Dollars per Thousand Cubic Feet) Arizona 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...

12

Virginia Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Wellhead Price (Dollars per Thousand Cubic Feet) Virginia Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

13

Illinois Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Wellhead Price (Dollars per Thousand Cubic Feet) Illinois Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

14

Tennessee Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Wellhead Price (Dollars per Thousand Cubic Feet) Tennessee Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

15

Florida Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Wellhead Price (Dollars per Thousand Cubic Feet) Florida 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...

16

North Dakota Natural Gas Wellhead Price (Dollars per Thousand...  

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

Wellhead Price (Dollars per Thousand Cubic Feet) North Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

17

Oregon Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Wellhead Price (Dollars per Thousand Cubic Feet) Oregon 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...

18

Nebraska Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Wellhead Price (Dollars per Thousand Cubic Feet) Nebraska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

19

Pennsylvania Natural Gas Wellhead Price (Dollars per Thousand...  

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

Wellhead Price (Dollars per Thousand Cubic Feet) Pennsylvania Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

20

,"Nevada Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","9...

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

,"North Dakota Natural Gas Wellhead Price (Dollars per Thousand...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","9...

22

,"West Virginia Natural Gas Wellhead Price (Dollars per Thousand...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","9...

23

,"Virginia Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","9...

24

,"New York Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","9...

25

,"New Mexico Natural Gas Wellhead Price (Dollars per Thousand...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010...

26

California Imputed Wellhead Value of Marketed Production (Cost...  

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

Imputed Wellhead Value of Marketed Production (Cost) California Imputed Wellhead Value of Marketed Production (Cost) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

27

New Mexico Imputed Wellhead Value of Marketed Production (Cost...  

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

Imputed Wellhead Value of Marketed Production (Cost) New Mexico Imputed Wellhead Value of Marketed Production (Cost) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

28

West Virginia Natural Gas Wellhead Price (Dollars per ...  

U.S. Energy Information Administration (EIA)

West Virginia 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 ...

29

Nevada Natural Gas Wellhead Price (Dollars per Thousand Cubic...  

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

Nevada 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 2000's -- NA NA NA 2010's NA - No...

30

AEO2011: Lower 48 Natural Gas Production and Wellhead Prices...  

Open Energy Info (EERE)

Natural Gas Production and Wellhead Prices by Supply Region

31

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

32

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

33

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

34

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

35

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

36

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

37

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

38

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

39

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

40

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

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

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

42

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

43

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

44

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

45

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

46

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

47

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

48

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

49

Natural Gas Wellhead Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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

50

Natural Gas Wellhead Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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

51

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

52

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

53

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

54

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

55

,"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"

56

,"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"

57

,"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"

58

,"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"

59

,"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"

60

,"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"

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

,"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"

62

,"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"

63

,"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"

64

,"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"

65

,"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"

66

,"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"

67

,"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"

68

,"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"

69

,"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"

70

,"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"

71

,"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"

72

,"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"

73

,"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"

74

,"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"

75

,"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"

76

,"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"

77

,"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"

78

,"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"

79

,"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"

80

,"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"

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

,"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"

82

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

83

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

84

AEO2011: Lower 48 Crude Oil Production and Wellhead Prices by...  

Open Energy Info (EERE)

Lower 48 Crude Oil Production and Wellhead Prices by Supply Region

85

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

86

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)

87

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

88

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

89

Residential Price - Marketers  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

90

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.)

91

Texas Natural Gas Wellhead Value and Marketed Production  

U.S. Energy Information Administration (EIA)

Area: Period: Download ... 8.51: 3.81: 4.70 : 1967-2010: Marketed Production (Million Cubic Ft.) 6,123,180: 6,960,693: 6,818,973: 6,715,294: 7,112,863:

92

Finding the market price  

SciTech Connect

The short-term power exchange offers a glimpse of the deregulated power market. As the electric power industry goes the way of other formerly regulated monopolicies in the United States, incentives will continue to grow for novel ways to trade electricity in hitherto uncharted markets. The emergence of open power markets. The emergence of open power markets thus far has been a patchwork affair. Federally mandated competition in wholesale markets has only recently taken place and all jurisdictional transmission owners must file open access transmission tariffs with the Federal Energy Regulatory Commission. The national agenda has been spotted here and there by state or even utility-specific efforts to unlock retail markets but most of these will take years to implement. Thus, the most common complaint of power market professions is a basic one: It is difficult to determine the market price of electricity. The basic building blocks of an efficient market are missing, e.g. no multitudes of willing buyers and sellers, few arms-length purchases, no price transparency.

Huetteman, T.J.; Stasiak, S.

1996-09-01T23:59:59.000Z

93

Market survey of geothermal wellhead power generation systems. Final report, March 1978  

DOE Green Energy (OSTI)

The purpose of this study was to assess the market potential for a portable geothermal wellhead power conversion device (1-10 MW generating capacity). Major study objectives included identifying the most promising applications for such a system, the potential impediments confronting their industrialization, and the various government actions needed to overcome these impediments. The heart of the study was a series of structured interviews with key decision-making individuals in the various disciplines of the geothermal community. In addition, some technical and economic analyses of a candidate system were performed to support the feasibility of the basic concept.

Leeds, M.W.; Evensizer, J.

1979-04-01T23:59:59.000Z

94

Natural Gas Market Outlook: Through 2020  

U.S. Energy Information Administration (EIA)

Natural Gas Market Outlook: Through 2020. Continued optimism about market growth (32 Tcf in 2020) Increasing wellhead prices to $2.81 Mcf ($98) in 2020

95

Retail Market Based Pricing: Retail Market Based Pricing - Three Cases  

Science Conference Proceedings (OSTI)

Customers are not provided with incentives for efficient conservation and substitution of electricity away from peak periods if they do not face prices that reflect the real-time cost of purchasing wholesale electricity that is experienced by their retail energy provider. Recent events in California's restructured electricity market underscore the importance of developing products and structures that enable demand response to changes in prices in these markets. This report assembles three studies of cust...

2001-10-25T23:59:59.000Z

96

Trading and Prices in Commodity Markets  

U.S. Energy Information Administration (EIA)

Trading and Prices in Commodity Markets EIA 2013 Workshop on Financial and Physical Oil Market Linkages ... Director of Energy Markets and Financial Analysis

97

The Information Efficiency of Market Prices  

E-Print Network (OSTI)

aggregation of information in competitive markets, Journalstock markets where trades have diverse information, JournalTHE INFORMATION EFFICIENCY OF MARKET PRICES July 1985 by

Bossaerts, Peter

1985-01-01T23:59:59.000Z

98

Edgeworth Price Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline Markets  

E-Print Network (OSTI)

Asymmetrically to Crude Oil Price Changes? ”, QuarterlyS. , A. Shepard. “Sticky Prices, Inventories, and MarketGas Wars: Retail Gasoline Price Fluctua- tions”, Review of

Noel, Michael

2004-01-01T23:59:59.000Z

99

Price Changes in the Gasoline Market  

Annual Energy Outlook 2012 (EIA)

1999 Price Changes in the Gasoline Market Are Midwestern Gasoline Prices Downward Sticky? Energy Information Administration Washington, DC 20585 This report was prepared by the...

100

Table 6.7 Natural Gas Wellhead, Citygate, and Imports Prices, 1949 ...  

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency. Energy use in homes, commercial buildings, ...

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

Limit order markets, liquidity, and price impact  

E-Print Network (OSTI)

In this thesis, I explore various aspects of market liquidity and analyze its effect on asset prices. First, in a model of a limit order market I explain how to define liquidity and derive a price impact function. Second, ...

Rosu, Ioanid, 1970-

2004-01-01T23:59:59.000Z

102

Oil and natural gas reserve prices, 1982-2002 : implications for depletion and investment cost  

E-Print Network (OSTI)

A time series is estimated of in-ground prices - as distinct from wellhead prices ? of US oil and natural gas reserves for the period 1982-2002, using market purchase and sale transaction information. The prices are a ...

Adelman, Morris Albert

2003-01-01T23:59:59.000Z

103

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

2009-01-01T23:59:59.000Z

104

Comparing Price Forecast Accuracy of Natural Gas Models andFutures Markets  

SciTech Connect

The purpose of this article is to compare the accuracy of forecasts for natural gas prices as reported by the Energy Information Administration's Short-Term Energy Outlook (STEO) and the futures market for the period from 1998 to 2003. The analysis tabulates the existing data and develops a statistical comparison of the error between STEO and U.S. wellhead natural gas prices and between Henry Hub and U.S. wellhead spot prices. The results indicate that, on average, Henry Hub is a better predictor of natural gas prices with an average error of 0.23 and a standard deviation of 1.22 than STEO with an average error of -0.52 and a standard deviation of 1.36. This analysis suggests that as the futures market continues to report longer forward prices (currently out to five years), it may be of interest to economic modelers to compare the accuracy of their models to the futures market. The authors would especially like to thank Doug Hale of the Energy Information Administration for supporting and reviewing this work.

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-06-30T23:59:59.000Z

105

Dynamic Pricing and Learning in Electricity Markets  

Science Conference Proceedings (OSTI)

We analyze the price-formation process in an infinite-horizon oligopoly model where hydroelectric generators engage in dynamic price-based competition. The analysis focuses on the role of "indifference" prices, i.e., prices that equate the gains from ... Keywords: Dynamic auctions, Economics, Games: stochastic, Natural resources: energy, Noncooperative, Restructured electricity markets, Water resources

Alfredo Garcia; Enrique Campos-Nañez; James Reitzes

2005-03-01T23:59:59.000Z

106

Electricity Market Design and Price Manipulation  

E-Print Network (OSTI)

Integration of physical transactions and financial contracts is central to successful electricity market design. Virtually every energy transaction has some impact on prices. The mere fact that a physical transaction can affect prices to some degree, and thereby influence the prices of related financial contracts, cannot be a per se definition of price manipulation. A principled policy for characterizing price manipulation in organized electricity markets includes a stand-alone profitability test. Multiple market-clearing prices arise from degenerate pricing conditions that can occur in electricity markets under economic dispatch. In some instances, small changes in bilateral schedules can produce large changes in prices. These prices affect the value of associated financial transmission rights. A stand-alone profitability test distinguishes transactions that are consistent with workably competitive markets from transactions that serve no economic purpose other than to manipulate prices and profit from other financial contracts. Generalizing this standard to the degenerate conditions that give rise to multiple market-clearing prices provides a principled solution without undermining the market-design foundations that integrate economic dispatch, locational prices and financial transmission rights.

William W. Hogan; William W. Hogan I

2012-01-01T23:59:59.000Z

107

An Analysis of Price Volatility in Natural Gas Markets  

U.S. Energy Information Administration (EIA)

Market prices respond to shifts in supply and demand, and the degree of price response relates to the price elasticity of both. Natural gas prices have been particularly

108

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 perspective. They are concerned about losing them to other service territories or seeing them vanish to domestic and foreign competition. There is a sense of a “strategic alliance” being sought by the most proactive of utilities in which they become allies of their customers. In this sense, the issue of how much these customers purchased from them vanishes into the shadows of the more important elements of the relationships. Oh sure, there still are some pushing technology as the customer’s answer. And there are others using incentive and other rate gambits to develop strategic load building. But there is a definite trend emerging toward building the relationship for the long haul and putting short range profit or number game objectives on the back burner. This paper investigates the most successful current utility marketing postures, how they are changing, where pricing fits in and what we are likely to see within the next few years. We will also illustrate the potential traps in competitive marketing and customer service that still lie in wait. We still see a major number of current marketing efforts that are unbalanced, unfairly reward luck, are wasteful and counterproductive. As many of you know, we strongly believe marketing must move from technology-based, “silver bullet” competition, frenetic non-competitive load retention dissipation and load claiming to relational-based marketing in which absolute integrity and service and their consequent trust become paramount. We believe utilities must build honest relationships with all their customers, not merely their energy purchasers. These include their fuel suppliers and regulators. When a utility is not trusted, the competitive situation is reduced to that of a commodity supplier in which price and terms constitute the whole of the relationship. Utilities reduced to this level of inadequate customer service ultimately will lose to those that recognize the alternative of adding value. As the nature and consequences of competition increase, so does the importance of breaking from the methods of the past.

Gilbert, J. S.

1989-09-01T23:59:59.000Z

109

Commerical Price - Marketers - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

110

Auction market simulator for price based operation  

Science Conference Proceedings (OSTI)

Through the passage of new public utility regulatory policies, the Federal Energy Regulatory Commission (FERC) encourages an open market system for price based operation. A previous paper describes a framework for price based operation and the associated technical issues in an auction market structure. This paper presents an auction market simulator to experimentally study the aspects of power system operation in price-based environment. The proposed simulator can also be used as a tool to train the system operators how to perform electric power transaction in the deregulated environment. This paper presents the simulation results of auction market for price based operation in the 24-bus, 10-generator IEEE Reliability Test System.

Kumar, J.; Sheble, G. [Iowa State Univ., Ames, IA (United States). Dept. of Electrical and Computer Engineering

1998-02-01T23:59:59.000Z

111

MATHEMATICS Price dynamics in political prediction markets  

E-Print Network (OSTI)

- gate the price dynamics of prediction markets with the goal of developing methods to identify the trulyAPPLIED MATHEMATICS POLITICAL SCIENCES Price dynamics in political prediction markets Saikat Ray City, IA 52242; and d Department Chemical and Biological Engineering, Northwestern University, Evanston

Amaral, Luis A.N.

112

Natural Gas Wellhead Price  

Gasoline and Diesel Fuel Update (EIA)

Oklahoma 6.24 7.56 3.53 4.71 1967-2010 Oregon 5.27 5.33 4.00 4.92 1979-2010 Pennsylvania NA NA NA NA 1967-2010 South Dakota 7.22 7.94 NA NA 1979-2010 Tennessee 6.63 8.85...

113

System dynamics, market microstructure and asset pricing  

E-Print Network (OSTI)

Traditional asset pricing approaches are not able to explain extreme volatility and tail events that characterized financial markets in the past decade. System Dynamics theory, which is still underutilized in financial ...

Leika, Mindaugas

2013-01-01T23:59:59.000Z

114

Bank Security Prices and Market Discipline  

E-Print Network (OSTI)

In recent years, policymakers and bank regulators have been warming up to the idea of leveraging market forces to enhance banking supervision.This is partly motivated by the growing complexity of large banking organizations and by concerns about limiting the cost of bank supervision as well as avoiding unduly extending the bank safety net (see Kwan 2002). In order for market discipline to work, the market prices of banking securities must contain accurate and timely information about bank risk. Researchers in banking have been studying this issue for quite some time.This Economic Letter reviews the empirical evidence on the informativeness of bank security prices, focusing on the two most obvious sources of market information—stock and

unknown authors

2002-01-01T23:59:59.000Z

115

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

Science Conference Proceedings (OSTI)

This paper evaluates the accuracy of two methods to forecast natural gas prices: using the Energy Information Administration's ''Annual Energy Outlook'' forecasted price (AEO) and the ''Henry Hub'' compared to U.S. Wellhead futures price. A statistical analysis is performed to determine the relative accuracy of the two measures in the recent past. A statistical analysis suggests that the Henry Hub futures price provides a more accurate average forecast of natural gas prices than the AEO. For example, the Henry Hub futures price underestimated the natural gas price by 35 cents per thousand cubic feet (11.5 percent) between 1996 and 2003 and the AEO underestimated by 71 cents per thousand cubic feet (23.4 percent). Upon closer inspection, a liner regression analysis reveals that two distinct time periods exist, the period between 1996 to 1999 and the period between 2000 to 2003. For the time period between 1996 to 1999, AEO showed a weak negative correlation (R-square = 0.19) between forecast price by actual U.S. Wellhead natural gas price versus the Henry Hub with a weak positive correlation (R-square = 0.20) between forecasted price and U.S. Wellhead natural gas price. During the time period between 2000 to 2003, AEO shows a moderate positive correlation (R-square = 0.37) between forecasted natural gas price and U.S. Wellhead natural gas price versus the Henry Hub that show a moderate positive correlation (R-square = 0.36) between forecast price and U.S. Wellhead natural gas price. These results suggest that agencies forecasting natural gas prices should consider incorporating the Henry Hub natural gas futures price into their forecasting models along with the AEO forecast. Our analysis is very preliminary and is based on a very small data set. Naturally the results of the analysis may change, as more data is made available.

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-02-09T23:59:59.000Z

116

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Energy futures markets are ‘hubs’ that price and marketenergy price fluctuations. In theory, futures market pricesenergy prices, including most prominently, energy futures markets.

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

117

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

E-Print Network (OSTI)

local-level wholesale energy market price dynamics and localare included. Energy factor market prices, the shape of theare included. Energy factor market prices, the shape of the

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

2010-01-01T23:59:59.000Z

118

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

E-Print Network (OSTI)

local-level wholesale energy market price dynamics and localare included. Energy factor market prices, the shape of theare included. Energy factor market prices, the shape of the

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

119

Energy and Financial Markets Overview: Crude Oil Price Formation  

U.S. Energy Information Administration (EIA)

• E&P costs • E&P investments • E&P innovations Physical balancing • Inventories Markets & market behavior • Energy prices ? spot ? futures ? options

120

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

U.S. Energy Information Administration (EIA)

Overview. As part of its Energy and Financial Markets Initiative, EIA is assessing the various factors that may influence oil prices — physical market factors as ...

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

Using Neural Networks to Forecast Stock Market Prices Ramon Lawrence  

E-Print Network (OSTI)

Using Neural Networks to Forecast Stock Market Prices Ramon Lawrence Department of Computer Science on the application of neural networks in forecasting stock market prices. With their ability to discover patterns. Section 3 covers current analytical and computer methods used to forecast stock market prices

Lawrence, Ramon

122

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

123

Do OPEC Members Know Something the Market Doesn’t? “Fair Price ” Pronouncements and the Market Price of Crude Oil  

E-Print Network (OSTI)

OPEC producers, individually or collectively, often make statements regarding the “fair price ” of crude oil. In some cases, the officials commenting are merely affirming the price prevailing in the crude oil market at the time. In many cases, however, we document that they explicitly disagree with the contemporaneous futures price. A natural question is whether these “fair price ” pronouncements contain information not already reflected in market prices. To find the answer, we collect “fair price ” statements made between 2000 and 2009 by officials from OPEC or OPEC member countries. Visually, the “fair price ” series looks like a sampling discretely drawn (with a lag) from the daily futures market price series. Formally, we use several methodologies to establish that “fair price ” pronouncements have little influence on the market price of crude oil and that they supply little or no new news to oil futures market participants.

Celso Brunetti; Bahattin Büyük?ahin; Michel A. Robe; Kirsten R. Soneson; David Reiffen; Bob Buckley; Rasmus Fatum; Robert L. Losey; Jim Moser; Adam Sieminski; Phil Verlegger; Joe Konizeski

2010-01-01T23:59:59.000Z

124

Electricity Market Price Forecasting in a Price-responsive Smart Grid Environment  

E-Print Network (OSTI)

of this load is to use electricity market price forecasts to op- timally schedule a combination of the gas of Electricity Market Price Forecasting Errors: A Demand-Side Analysis Hamidreza Zareipour, Member, IEEE, Claudio--Several techniques have been proposed in the liter- ature to forecast electricity market prices and improve forecast

125

Customer Response to Electricity Prices: Information to Support Wholesale Price Forecasting and Market Analysis  

Science Conference Proceedings (OSTI)

Understanding customer response to electricity price changes is critical to profitably managing a retail business, designing efficient wholesale power markets, and forecasting power prices for valuation of long-lived generating assets. This report packages the collective results of dozens of price response studies for use by forward price forecasters and power market analysts in forecasting loads, revenues, and the benefits of time-varying prices more accurately. In specific, the report describes key mea...

2001-11-30T23:59:59.000Z

126

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

E-Print Network (OSTI)

ahead Wholesale Market Electricity Prices: Case Study of RTPahead Wholesale Market Electricity Prices: Case Study of RTPElectricity Prices

2004-01-01T23:59:59.000Z

127

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

2009. “To What Electricity Price Do Consumers Respond?faced with nonlinear electricity price schedules. Nonlinearrates and multi-tier electricity prices, complicate economic

Ito, Koichiro

2011-01-01T23:59:59.000Z

128

Demand Pricing & Resource Allocation in Market- based ...  

Science Conference Proceedings (OSTI)

... While pricing operates on a comparatively slow ... and tracking the optimal price, admission control ... the time lag in varying and disseminating prices. ...

2013-02-25T23:59:59.000Z

129

Brand and Price Advertising in Online Markets  

E-Print Network (OSTI)

P. , "Electronic Commerce: Prices and Consumer Issues forFriedman, "Buyer Search and Price Dispersion: A Laboratory808. Chen, J. and P. Scholten, "Price Dispersion, Product

Baye, Michael; Morgan, John

2004-01-01T23:59:59.000Z

130

Energy & Financial Markets: What Drives Crude Oil Prices?  

Reports and Publications (EIA)

An assessment of the various factors that may influence oil prices - physical market factors as well as those related to trading and financial markets. The analysis describes 7 key factors that could influence oil markets and explores possible linkages between each factor and oil prices, and includes regularly-updated graphs that depict aspects of those relationships.

2011-12-14T23:59:59.000Z

131

Capacity-constrained multiple-market price discrimination  

Science Conference Proceedings (OSTI)

This paper studies a multiple-market price discrimination problem with different markets' demand elasticity and supply constraints, whereas the markets share a common capacity. We model the problem as a continuous nonlinear knapsack problem, and propose ... Keywords: Knapsack problem, Nonlinear programming, Price discrimination

Bin Zhang

2012-01-01T23:59:59.000Z

132

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

E-Print Network (OSTI)

A uniform price auction with locational price adjustments for competitive electricity markets in an electricity context requires that the offers used in the auction reflect the appropriate locational price necessary to adapt the Uniform Price auction to an electricity transmission system which takes into account

133

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

134

Analysis of Price Volatility in Natural Gas Markets  

Reports and Publications (EIA)

This article presents an analysis of price volatility in the spot natural gas market, with particular emphasis on the Henry Hub in Louisiana.

Erin Mastrangelo

2007-08-17T23:59:59.000Z

135

Natural Gas Marketer Prices and Sales To Residential and ...  

U.S. Energy Information Administration (EIA)

Pennsylvania natural gas choice market. The supplier must furnish a bond or other security in an amount ... natural gas prices were derived solely from LDCs who

136

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

137

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.

138

Differential impact of immediate total deregulation of wellhead prices of natural gas on minority and low-income homeowners: a general review and a case study in the Washington, DC area  

SciTech Connect

In this study, the authors evaluate the impact of total deregulation of wellhead prices of natural gas on various strata of the residential consuming population, and compare it to the baseline impact of a continuation of the Natural Gas Policy Act of 1978. They found that minority and poverty homeowners will suffer greater relative welfare losses than their white and non-poverty counterparts. They developed quantitative estimates of the extent of these differentials, and offered some policy proposals suggested by these findings. 54 refs., 8 figs., 68 tabs.

Green, R.D.; Gilbert, H.R.

1983-01-01T23:59:59.000Z

139

The Stock Market Reaction to Oil Price Changes  

E-Print Network (OSTI)

I explore the reaction of the stock market as a whole and of different industries to daily oil price changes. I find that the direction and magnitude of the market?s reaction to oil price changes depend on the magnitude of the price changes. Oil price changes most likely caused by supply shocks have a negative impact while oil price changes most likely caused by shifts in aggregate demand have a positive impact on the same day market returns. In addition to the returns of oil-intensive industries, returns of industries that do not use oil to any significant extent are also sensitive to oil price changes. Finally, I show that both the cost-side dependence and demand-side dependence on oil are important in explaining the sensitivity of industry returns to oil price changes. I am indebted to Louis Ederington. I am grateful for the helpful comments received from Chitru Fernando,

Sridhar Gogineni

2008-01-01T23:59:59.000Z

140

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

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-elastic demand in deregulated electricity markets  

SciTech Connect

The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we find that price elasticity both increases the retailers revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite effect, the overall impact of price responsive demand on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we find that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we find that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

Siddiqui, Afzal S.

2003-05-01T23:59:59.000Z

142

Price-elastic demand in deregulated electricity markets  

SciTech Connect

The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we find that price elasticity both increases the retailers revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite effect, the overall impact of price responsive demand on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we find that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we find that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

Siddiqui, Afzal S.

2003-05-01T23:59:59.000Z

143

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

E-Print Network (OSTI)

This paper argues that the market rules governing the operation of a re-structured electricity market in combination with its market structure can have a substantial impact on behavior of marketclearing prices. Using evidence on the design of electricity markets in England and Wales, Norway, the state of Victoria in Australia and New Zealand, this paper illustrates that market structure and market rules are important drivers of the behavior of prices in a competitive electricity market. The paper first summarizes the important features of the market structure and market rules in each country. One conclusion to emerge from this comparison is that there are many differences in how these markets in each country are organized. I then provide an assessment of the relationship between market rules and market structure and the behavior of prices in each market. The paper closes with a discussion of the available evidence that the behavior of prices in each country is the result of the exercis...

Frank A. Wolak

1997-01-01T23:59:59.000Z

144

Composition of Electricity Generation Portfolios, Pivotal Dynamics, and Market Prices  

Science Conference Proceedings (OSTI)

We use simulations to study how the diversification of electricity generation portfolios influences wholesale prices. We find that the relationship between technological diversification and market prices is mediated by the supply-to-demand ratio. In ... Keywords: electricity, market power, simulations, technology diversification

Albert Banal-Estaòol; Augusto Rupérez Micola

2009-11-01T23:59:59.000Z

145

Falling House Prices and Rising Time on the Market  

E-Print Network (OSTI)

Much of the current trouble in the housing market has been attributed to the fact that house price appreciation—strong for many years—is finally slowing; indeed, in many markets now, house prices are falling.The mere fact that falling house prices are considered newsworthy is interesting in its own right. In other asset markets, such as the stock and bond markets, prices routinely fluctuate up and down every day. In this Economic Letter I argue that the main reason for this difference reflects differences in the liquidity of houses and financial assets as investments. I review the ways in which residential real estate prices and liquidity vary over time and over different states of the economy, discuss the implications of this price and liquidity behavior

unknown authors

2008-01-01T23:59:59.000Z

146

The Market Price of Risk: Implications for Electricity Price Forecasting, Asset Valuation and Portfolio Risk Management  

Science Conference Proceedings (OSTI)

Forward Price Forecasting for Power Market Valuation (TR-111860, 1998) presented the basic theory on the market price of risk. However, continued development of the power market has led to additional complexities when applying the concept to electric power. This current report updates that earlier report based on subsequent development of the theory by EPRI and others and reflects two additional years of market data.

2000-12-07T23:59:59.000Z

147

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

E-Print Network (OSTI)

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

2005-01-01T23:59:59.000Z

148

Empirical analysis of the spot market implications of price-elastic demand  

E-Print Network (OSTI)

are exposed to real-time electricity prices, then they cansustained increases in the electricity price. Greater pricethe market-clearing electricity price. Indeed, the remaining

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2004-01-01T23:59:59.000Z

149

Stock market volatility and price discovery : three essays on the effect of macroeconomic information  

E-Print Network (OSTI)

Simple Microstructure Model of Price Determination . . 3.11Stock Market Volatility and Price Discovery: Three Essays onConstruction Spending PRICES CPI MONETARY POLICY FFR Source:

Rangel, Jose Gonzalo

2006-01-01T23:59:59.000Z

150

H. R. 4604: a bill to promote competition in the natural gas market, to ensure open access to transportation service, to encourage production of natural gas, to provide natural gas consumers with adequate supplies at reasonable prices, to eliminate demand restraints, and for other purposes. Introduced in the House of Representatives, Ninety-Ninth Congress, Second Session, April 16, 1986  

Science Conference Proceedings (OSTI)

The Natural Gas Policy Act Amendments of 1986 promotes competition in the natural gas market. Title I ensures open access to transportation service by requiring that interstate pipelines not discriminate in providing transportation services. Title II encourages production of natural gas by removing wellhead price controls and repealing jurisdiction over first sales. Title III provides natural gas consumers with adequate supplies at reasonable prices and eliminates demand restraints. The bill was referred to the House Committee on Energy and Commerce.

Not Available

1986-01-01T23:59:59.000Z

151

Market behavior under partial price controls: the case of the retail gasoline market  

SciTech Connect

The use of firm-specific controls on the price of gasoline during 1979 and 1980, at both the wholesale and the retail level, dramatically affected the retail market for gasoline. The most visible effect was a diversity of monetary prices across service stations within particular retail market areas. Price could no longer play its usual role in clearing the retail market for gasoline. Queues and other changes in quality of service at stations arose to maintain the balance of market demand and supply. This report examines the behavior of an otherwise competitive market in the presence of such regulation-induced nonprice phenomena. In such a market, consumers consider both monetary prices and costs imposed by queues in deciding where to buy gasoline and how much to buy. Using a price-theoretic model of behavior, this paper predicts how various changes in effective price regulation affect consumers. 14 references, 7 figures, 2 tables.

Camm, F.

1983-03-01T23:59:59.000Z

152

Competition and Prices on the Emerging Nordic Electricity Market  

E-Print Network (OSTI)

The purpose of this paper is to quantitatively evaluate the impact on electricity prices of deregulation and free trade in the Nordic countries. The analysis is focused on the impact of increased competition on market power and the degree of monopolistic pricing. The major tool for our analysis of electricity trade and prices is a numerical multicountry electricity market model in which losses and bottlenecks in the transmission system are taken into account. Moreover both Cournot and perfect competition equilibria with and without free trade in electricity can be simulated. According to the simulation results there are significant differences between the Cournot and perfect competition equilibrium prices under autarky. When inter-country trade is allowed, however, the Cournot equilibrium prices are quite close to the equilibrium prices under perfect competition. Yet the net inter-country physical flows of electricity are small and well within existing transmission capacities.

Eirik S. Amundsen; Lars Bergman; Bo Andersson; Jel-classification D

1998-01-01T23:59:59.000Z

153

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

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

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 HostPoint...

154

Financial market imperfections and their asset pricing implications  

E-Print Network (OSTI)

This thesis consists of two studies on financial market imperfections. The first study (Chapters 2 and 3) investigates illiquidity, which is a reflection of different imperfections, and its pricing implications in the ...

Rayanakorn, Surapap

2012-01-01T23:59:59.000Z

155

Estimating Welfare In Insurance Markets Using Variation in Prices  

E-Print Network (OSTI)

We provide a graphical illustration of how standard consumer and producer theory can be used to quantify the welfare loss associated with inefficient pricing in insurance markets with selection. We then show how this welfare ...

Finkelstein, Amy

156

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

157

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

of the Southern California Edison Company. Glendale Calif. :Southern California Edison (SCE) and San Diego Gas &using Southern California Edison’s price schedule in 2007.

Ito, Koichiro

2011-01-01T23:59:59.000Z

158

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

on their summer electricity bills if they could reduce theira fixed credit on electricity bills. The rationale behindaverage price of their electricity bills, the fixed credit

Ito, Koichiro

2011-01-01T23:59:59.000Z

159

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

160

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

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

Noise Traders, Market Sentiment, and Futures Price Behavior by  

E-Print Network (OSTI)

The noise trader sentiment model of De Long, Shleifer, Summers, and Waldmann (1990a) is applied to futures markets. The theoretical results predict that overly optimistic (pessimistic) noise traders result in market prices that are greater (less) than fundamental value. Thus, returns can be predicted using the level of noise trader sentiment. The null rational expectations hypothesis is tested against the noise trader alternative using a commercial market sentiment index as a proxy for noise trader sentiment. Fama-MacBeth cross-sectional regressions test if noise traders create a systematic bias in futures prices. The time-series predictability of futures returns using known sentiment levels is tested in a Cumby-Modest market timing framework and a more general causality specification. The empirical results lead to the following conclusions. First, there is no evidence that noise trader sentiment creates a systematic bias in futures prices. Second, predictable market returns using noise trader sentiment is not characteristic of futures markets in general. Third, futures market returns at weekly intervals are characterized by low-order positive autocorrelation with relatively small autoregressive parameters. In those instances where there is evidence of noise trader effects, it is at best limited to isolated markets and particular specifications. Noise Traders, Market Sentiment, and Futures Price Behavior

Dwight R. S; Scott H. Irwin; Raymond M. Leuthold; Dwight R. S; Ers Is Manager

1997-01-01T23:59:59.000Z

162

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

163

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

energy price fluctuations. In theory, futures market prices summarize privately available informationEnergy; Brookhaven National Laboratory Canadian Energy Research Institute U.S. Energy Information Administration Energy Marketsinformation about future energy prices, including most prominently, energy futures markets.

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

164

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Appendix A.1 Natural Gas Price Data for Futures Market andSTEO Error A.1 Natural Gas Price Data for Futures Market andforecasts for natural gas prices as reported by the Energy

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

165

Bilevel optimization applied to strategic pricing in competitive electricity markets  

Science Conference Proceedings (OSTI)

In this paper, we present a bilevel programming formulation for the problem of strategic bidding under uncertainty in a wholesale energy market (WEM), where the economic remuneration of each generator depends on the ability of its own management to ... Keywords: Bilevel programming, Electricity pool market, Mathematical program with equilibrium constraints, Strategic pricing

M. Fampa; L. A. Barroso; D. Candal; L. Simonetti

2008-03-01T23:59:59.000Z

166

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

167

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 localexpenses, and energy factor market inputs. In a companion

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

2010-01-01T23:59:59.000Z

168

Price changes in the gasoline market: Are Midwestern gasoline prices downward sticky?  

SciTech Connect

This report examines a recurring question about gasoline markets: why, especially in times of high price volatility, do retail gasoline prices seem to rise quickly but fall back more slowly? Do gasoline prices actually rise faster than they fall, or does this just appear to be the case because people tend to pay more attention to prices when they`re rising? This question is more complex than it might appear to be initially, and it has been addressed by numerous analysts in government, academia and industry. The question is very important, because perceived problems with retail gasoline pricing have been used in arguments for government regulation of prices. The phenomenon of prices at different market levels tending to move differently relative to each other depending on direction is known as price asymmetry. This report summarizes the previous work on gasoline price asymmetry and provides a method for testing for asymmetry in a wide variety of situations. The major finding of this paper is that there is some amount of asymmetry and pattern asymmetry, especially at the retail level, in the Midwestern states that are the focus of the analysis. Nevertheless, both the amount asymmetry and pattern asymmetry are relatively small. In addition, much of the pattern asymmetry detected in this and previous studies could be a statistical artifact caused by the time lags between price changes at different points in the gasoline distribution system. In other words, retail gasoline prices do sometimes rise faster than they fall, but this is largely a lagged market response to an upward shock in the underlying wholesale gasoline or crude oil prices, followed by a return toward the previous baseline. After consistent time lags are factored out, most apparent asymmetry disappears.

NONE

1999-03-01T23:59:59.000Z

169

Prices  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

170

Prices  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 2001 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

171

Prices  

Annual Energy Outlook 2012 (EIA)

Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

172

Structural Estimation of Price Adjustment Costs in the European Car Market  

E-Print Network (OSTI)

Sys- tem: the European Car Market”. C.E.P.R. DiscussionPrice Dispersion in the European Car Market”. The Review ofPrice: Evidence from the European Car Market”. Journal of

Noton, Carlos

2009-01-01T23:59:59.000Z

173

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.

174

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

175

Price and Load Forecasting in Volatile Energy Markets  

Science Conference Proceedings (OSTI)

With daily news stories about wildly fluctuating electricity prices and soaring natural gas prices, forecasters' responsibilities are expanding, visibility is increasing, and pressure exists to produce more frequent forecasts and more kinds of forecasts. The proceedings of EPRI's 13th Forecasting Symposium, held November 13-15 in Nashville, Tennessee, address current forecasting issues and developments, as well as explain the role that forecasters have played in recent events in energy markets.

2001-12-05T23:59:59.000Z

176

Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets  

E-Print Network (OSTI)

In current restructured wholesale power markets, the short length of time series for prices makes it difficult to use empirical price data to test existing price forecasting tools and to develop new price forecasting tools. This study therefore proposes a two-stage approach for generating simulated price scenarios based on the available price data. The first stage consists of an Autoregressive Moving Average (ARMA) model for determining scenarios of cleared demands and scheduled generator outages (D&O), and a moment-matching method for reducing the number of D&O scenarios to a practical scale. In the second stage, polynomials are fitted between D&O and wholesale power prices in order to obtain price scenarios for a specified time frame. Time series data from the Midwest ISO (MISO) are used as a test system to validate the proposed approach. The simulation results indicate that the proposed approach is able to generate price scenarios for distinct seasons with empirically realistic characteristics.

Qun Zhou; Leigh Tesfatsion; Chen-Ching Liu

2009-01-01T23:59:59.000Z

177

Price distortions in the commodity futures markets  

E-Print Network (OSTI)

Speculation is not monolithic; it comes in many forms. A certain level of speculation is required for commodity futures markets to function. On the other hand, certain types of trading activities by speculators may damage ...

Helfrich, Devin B

2012-01-01T23:59:59.000Z

178

Price Changes in the Gasoline Market - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

DOE/EIA-0626 February 1999 Price Changes in the Gasoline Market Are Midwestern Gasoline Prices Downward Sticky? Energy Information Administration Washington, DC 20585

179

Michigan Natural Gas Prices  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Wellhead Price: NA: 5.63: 3.92: 3.79 : 1967-2010: Imports Price: ...

180

Examination of the rationality of real estate market pricing : focusing on the US office property market  

E-Print Network (OSTI)

This study examines whether or not investors behave rationally when they price the U.S. office properties. After reviewing several previous studies on the market efficiency, this paper makes three new attempts: first, we ...

Jeong, Jinbae

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.


181

EFFICIENT PRICING IN ELECTRICITY MARKETS: WHO IS ON REAL-TIME PRICING  

E-Print Network (OSTI)

When prices are set properly, they serve as important signals to guide customers to consume the efficient quantity of a good. However, in electricity markets many consumers do not pay prices that reflect the scarcity of power. The true social cost of power varies throughout a typical day; power is usually low cost during off-peak periods in the night but it is high cost during a hot July afternoon. Economists have argued for several decades that consumers should pay a price that varies with the true social cost of power. However, the vast majority of consumers pay a fixed price whether they use power at midnight or noon. This can create a host of economic inefficiencies. Fortunately, this is beginning to change. In many states, including Texas, large commercial and industrial users of electricity pay prices that reflect the social cost of power at the time of consumption. This pricing mechanism is called “real-time pricing” (RTP) in electricity markets. I have access to a unique, new dataset of virtually all 8000 commercial and industrial users in Texas that includes information on both whether they pay real-time prices and their hourly consumption for one year. First, I econometrically iv estimate the types of commercial and industrial firms that are likely to “sign up” for time-varying prices. Second, I test whether the customers on real-time prices reduce demand substantially in response to higher prices. I find that customers with greater total hourly consumption are more likely to be on real-time pricing. Customers with more „peaky? load profiles are less likely to be on real-time pricing. Customers in south and west Texas have a greater probability of being on RTP than customers in Houston. I also study whether customers on RTP decrease consumption on hot summer days when electricity is scare. These results have important implications for the design of both deregulated electricity markets and policies that seek to increase the amount of electricity generated with renewable sources of energy.

Fontana, Michelle

2011-05-01T23:59:59.000Z

182

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

U.S. Energy Information Administration (EIA)

Search EIA.gov. A-Z Index; A-Z Index A B C D E F G H I J K L M N O P Q R S T U V W XYZ. Energy & Financial Markets What Drives Crude Oil Prices? ...

183

The Impact of Market Rules and Market Structure on the Price Determination Process in the England and Wales Electricity Market  

E-Print Network (OSTI)

This paper argues that the market rules governing the operation of the England and Wales electricity market in combination with the structure of this market presents the two major generators---National Power and PowerGen---with opportunities to earn revenues substantially in excess of their costs of production for short periods of time. Generators competing to serve this market have two strategic weapons at their disposal: (1) the price bid for each generation set and (2) the capacity of each generation set made available to supply the market each half-hour period during the day. We argue that because of the rules governing the price determination process in this market, by the strategic use of capacity availability declarations, when conditions exogenous to the behavior of the two major generators favor it, these two generators are able to obtain prices for their output substantially in excess of their marginal costs of generation. The paper establishes these points in the following manner. First, we provide a description of the market structure and rules governing the operation of the England and Wales electricity market, emphasizing those aspects that are important to the success of the strategy we believe the two generators use to exercise market power. We then summarize the time series properties of the price of electricity emerging from this market structure and price-setting process. By analyzing four fiscal years of actual market prices, quantities and generator bids into the market, we provide various pieces of evidence in favor of the strategic use of the market rules by the two major participants. The paper closes with a discussion of the lessons that the England and Wales experience can provide for the design of competitive power markets in the US, particula...

Frank A. Wolak; Robert H. Patrick

1997-01-01T23:59:59.000Z

184

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

E-Print Network (OSTI)

and 2006) ISO-NE Real-Time Price Response (RTPR) ProgramResponse to Real Time Electricity Prices”, December,real-time energy market) Short-notice emergency program Price-

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

2007-01-01T23:59:59.000Z

185

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

186

Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance Nearest Neighbours  

E-Print Network (OSTI)

In today's deregulated markets, forecasting energy prices is becoming more and more important. In the short term, expected price pro les help market participants to determine their bidding strategies.

A. Troncoso; J.M. Riquelme; Alicia Troncoso Lora; J.L. Martínez; A. Gómez; Jose Riquelme Santos; Jesus Riquelme Santos

2001-01-01T23:59:59.000Z

187

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

188

Impact of Changing Fuel and Power Market Structures on Price Behavior  

Science Conference Proceedings (OSTI)

Managing electricity and fuel price risks is a daily task in today's competitive markets. It is tempting to try to extract insights from past price behavior. This report analyzes short-term price relationships for electricity and natural gas (for example, price volatilities and correlations) but goes farther, examining overarching price regimes that provide context for observed prices and required risk management. Spanning electricity, natural gas, oil, coal, and emission allowances markets, the interpre...

2001-09-04T23:59:59.000Z

189

Hedonic study on mobile telephony market in France: pricing---quality strategies  

Science Conference Proceedings (OSTI)

This paper provides a hedonic price analysis of mobile telephony services for the French market. We adopt the hedonic price theory to examine the relationship between changes in price levels and the evolution of the market for mobile telecommunications ... Keywords: Hedonic indexes, Mobile telephony, Pricing, Quality-adjustment

Chiraz Karamti; Lukasz Grzybowski

2010-10-01T23:59:59.000Z

190

Analysis on various pricing scenarios in a deregulated electricity market  

E-Print Network (OSTI)

The electricity pricing structure in Texas has changed after deregulation (January 2002). The Energy Systems Laboratory has served as a technical consultant on electricity purchases to several universities in the Texas A&M University System since 2001. In the fiscal year of 2006 Stephen F. Austin State University joined with the TAMU campuses and agencies, and there are now 183 accounts in the Electric Reliability Council of Texas (ERCOT) North, Northeast, South, West, and Houston areas of Texas. From the 183 accounts, 9 Interval Data Recorder (IDR) accounts consume 92% of the total load. The objective of this research is to find the most economic price structure to purchase electricity for the Texas A&M System and Stephen F. Austin University by analyzing various pricing scenarios: the spot market, forward contracts, take or pay contracts and on/off season (tiered) contracts. The analysis was based on the 9 IDR accounts. The prices for the spot market were given by ERCOT and the other prices by Sempra. The energy charges were calculated every 15 minute using the real historical consumption of each facility and the aggregated load of all facilities. The result for the analysis was given for each institution separately, as well as for the aggregated load of all facilities. The results of the analysis showed that the tiered price was the most economical structure to purchase electricity for each individual university and for the total aggregated load of all 9 IDR accounts. From March 1, 2005 to February 28, 2006, purchasing electricity on the tiered price would have cost $13,810,560. The forward contract, that is, purchasing electricity on a fixed rate, was the next cheapest with an energy cost of $14,266,870 from March 1, 2005 to February 28, 2006, 3% higher than purchasing electricity at the tiered price. The most expensive method to purchase electricity would have been the spot market. Its energy costs would have been approximately $18,171,610, 36% and 31% higher, respectively, than purchasing electricity at the tiered price and the fixed rate.

Afanador Delgado, Catalina

2006-08-01T23:59:59.000Z

191

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 and by neighboring utility companies to achieve new levels in customer service, reliability, and pricing. The two, industry and utility, are not antagonists, but are actually partners in the same venture--the industrial customer's costs are oftentimes tied closely to the price of electric power, and the utility's economic health depends upon the continued success of its customers. To work, a utility's marketing strategy and pricing arrangements must form a cohesive whole. Electric 'power rates must be able to recover a utility's costs and provide a sound fiscal footing for the utility, and yet still be attractive to industry and encourage the economic development of the region. However, lower rates are simply not the only answer in a sound marketing strategy. Rather than merely developing plans in accordance with the lowest feasible rates, it is reasonable for the utility to promote electrical efficiency and industrial productivity to ensure that electricity becomes a decreasing economic burden on industry. The utility and its industrial customers must work together as partners for the success of any marketing strategy. In this way, new arrangements may evolve which pave the way for industrial growth. I chair this tutorial having firsthand experience of the value to a utility of fostering trusting relationships with the industrial customers it serves. Through such relationships, TVA has been able to learn at an early date the needs of the customers it serves, and to do what it can as a utility to meet those needs. This tutorial panel consists of national experts from industry, utility, and consulting firms, each having direct experience in the important area of utility marketing, pricing, and customer relations. "

Reynolds, S.

1989-09-01T23:59:59.000Z

192

Using Environmental Emissions Permit Prices to Raise Electricity Prices: Evidence from the California Electricity Market  

E-Print Network (OSTI)

Permit Prices to Raise Electricity Prices: Evidence from thePermit Prices to Raise Electricity Prices: Evidence from thehigher wholesale electricity prices, during the third and

Kolstad, Jonathan; Wolak, Frank

2003-01-01T23:59:59.000Z

193

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

194

Transmission access and pricing with multiple separate energy forward markets  

Science Conference Proceedings (OSTI)

California`s congestion management protocols provide comparable access and prices to all users of the transmission system (power exchange and bilateral contract parties). The users implicitly bid for capacity on major transmission paths between zones. The Independent System Operator (ISO) allocates the available transmission capacity on these paths so that it maximizes the value of this capacity as measured by the users` bids. Everyone scheduling flow on a congested path is charged the marginal-cost-based price for using the path. The ISO keeps each party`s portfolio of generation and load individually in balance when adjusting schedules to relieve congestion on interzonal paths. By keeping the portfolios of the different parties separate, the ISO clears its transmission market without arranging energy trades between parties. Parties are responsible for arranging their own trades. The ISO does not become involved in the energy forward markets.

Gribik, P.R. [Perot Systems Corp., Los Angeles, CA (United States); Angelidis, G.A. [Pacific Gas and Electric Co., San Francisco, CA (United States); Kovacs, R.R. [Southern California Edison, Rosemead, CA (United States)

1999-08-01T23:59:59.000Z

195

Subsea wellhead connector  

SciTech Connect

A pipe connector is described especially suitable for connecting a marine riser to a subsea wellhead. The connector consists of: (a) an annular connector body; (b) means for attaching the connector body to a marine riser; and (c) lockdown screw assemblies extending through radial ports in the connector body, each of the screw assemblies comprising: (1) a lockdown dog; (2) a lockdwon screw movably secured to its respective port in the connector body, the lockdwon screw having a central bore and a counterbore communicating therewith; (3) a dog retainer secured to the lockdown dog and slidably extending through the central bore of the lockdown screw, the dog retainer being bolt-shaped with a shank and head, the shank extending through the bore and the head residing in the counterbore; and (4) a spring system between the lockdown dog and the lockdown screw to bias the dog from the screw.

Coffey, W.M.

1986-08-19T23:59:59.000Z

196

Kinetic market models with single commodity having price fluctuations  

E-Print Network (OSTI)

We study here numerically the behavior of an ideal gas like model of markets having only one non-consumable commodity. We investigate the behavior of the steady-state distributions of money, commodity and total wealth, as the dynamics of trading or exchange of money and commodity proceeds, with local (in time) fluctuations in the price of the commodity. These distributions are studied in markets with agents having uniform and random saving factors. The self-organizing features in money distribution are similar to the cases without any commodity (or with consumable commodities), the commodity distribution shows an exponential decay. The wealth distribution shows interesting behavior: Gamma like distribution for uniform saving propensity and has the same power-law tail, as that of the money distribution for a market with agents having random saving propensity.

Chatterjee, A; Chakrabarti, Bikas K.; Chatterjee, Arnab

2006-01-01T23:59:59.000Z

197

Document Number 2000-18, October, 2000 1 Study of Western Power Market Prices  

E-Print Network (OSTI)

Power Pool - US Systems for June 28, the peak price day of June, indicates a peak net hourly load levels. Prices in the spot market at Henry Hub in Louisiana have been over $5 recently and are expectedDocument Number 2000-18, October, 2000 1 Study of Western Power Market Prices Summer 2000 Final

198

Analyzing Multiple-Product Power Markets: Simulation of Energy and Ancillary Services Prices and System Adequacy  

Science Conference Proceedings (OSTI)

The interpretation of price signals is a primary business task of power market participants, made more challenging by the shift from cost-based to bid-based pricing. This report outlines a novel pricing framework that accounts for the behavior and interaction of forward and real-time energy markets and the ancillary services required to maintain system reliability.

2000-12-01T23:59:59.000Z

199

The role of content regulation on pricing and market power in regional retail and wholesale gasoline markets  

E-Print Network (OSTI)

Since 1999, regional retail and wholesale gasoline markets in the United States have experienced significant price volatility, both intertemporally and across geographic markets. This paper focuses on one potential explanation ...

Muehlegger, Erich J.

2002-01-01T23:59:59.000Z

200

Price-elastic demand in deregulated electricity markets  

E-Print Network (OSTI)

is unable to reduce electricity prices. The unstorability ofhourly variability in electricity prices while maintainingboth forward and spot electricity prices a ect demand. Our

Siddiqui, Afzal S.

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.


201

Edgeworth Price Cycles: Evidence from the Toronto Retail Gasoline Market  

E-Print Network (OSTI)

Asymmetrically to Crude Oil Price Changes? ” QuarterlyGas Wars: Retail Gasoline Price Fluctua- tions”, Review of7] Eckert, A. “Retail Price Cycles and Response Asymmetry”,

Noel, Michael

2004-01-01T23:59:59.000Z

202

Support vector regression with chaos-based firefly algorithm for stock market price forecasting  

Science Conference Proceedings (OSTI)

Due to the inherent non-linearity and non-stationary characteristics of financial stock market price time series, conventional modeling techniques such as the Box-Jenkins autoregressive integrated moving average (ARIMA) are not adequate for stock market ... Keywords: Chaotic mapping, Firefly algorithm, Stock market price forecasting, Support vector regression

Ahmad Kazem; Ebrahim Sharifi; Farookh Khadeer Hussain; Morteza Saberi; Omar Khadeer Hussain

2013-02-01T23:59:59.000Z

203

St[r]ategic offers in an oligopolistic electricity market under pay-as-bid pricing.  

E-Print Network (OSTI)

??Marginal pricing is the traditional pricing method in pool based electricity markets, however pay-as-bid is an alternative that has been the focus of recent studies.… (more)

Ganjbakhsh, Omid.

2008-01-01T23:59:59.000Z

204

A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices  

E-Print Network (OSTI)

This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the variables influencing the price and volatility of this energy ...

Fazzio, Thomas J. (Thomas Joseph)

2010-01-01T23:59:59.000Z

205

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

SciTech Connect

This chapter presents BPA's market price forecasts, 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 rates. AURORA is used as the primary tool for (a) calculation of the demand rate, (b) shaping the PF rate, (c) estimating the forward price for the IOU REP settlement benefits calculation for fiscal years 2008 and 2009, (d) estimating the uncertainty surrounding DSI payments, (e) informing the secondary revenue forecast and (f) providing a price input used for the risk analysis.

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

206

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

Science Conference Proceedings (OSTI)

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

207

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

208

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

209

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

210

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

211

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

212

Ethanol and Its Effect on the U.S. Corn Market: How the Price of E-85 Influences Equilibrium Corn Prices and Equilibrium Quantity.  

E-Print Network (OSTI)

??This study analyzes the impact the market price of E-85 has on equilibrium price and quantity exchanged of corn in the U.S. market. After presenting… (more)

PINCIN, JARED

2007-01-01T23:59:59.000Z

213

Price movements in the Japanese online home electronics market  

Science Conference Proceedings (OSTI)

This article investigates the price movements of home electronics products listed on a Japanese price comparison site. Our findings are as follows. (1) Price dispersion increases at earlier stages of the product life cycle and decreases at later stages. ... Keywords: Asymmetric pricing, Comparison sites, D4, D8, Economics, Empirical research, Internet, L13, Law of one price, M3, Price dispersion

Tomonari Akimoto; Fumiko Takeda

2009-01-01T23:59:59.000Z

214

Price discovery and information diffusion in the Perth housing market 1988-2000.  

E-Print Network (OSTI)

??[Truncated abstract] This thesis examines informational efficiency and price discovery processes within the Perth housing market for the period 1988-2000 by utilising a rich source… (more)

Costello, Greg

2004-01-01T23:59:59.000Z

215

Empirical Analysis of the Spot Market Implications of Price-Elastic...  

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

absence of any significant, rapid demand-side response to the wholesale (or, spot market) price. For a variety of reasons, electricity industries continue to charge most consumers...

216

Stochastic models of electricity prices and risk premia in the PJM market.  

E-Print Network (OSTI)

??With a main focus on risk premia in a US electricity market, we propose three stochastic models for electricity spot prices. Based on the proposed… (more)

Xiao, Yuewen

2012-01-01T23:59:59.000Z

217

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

DOE Green Energy (OSTI)

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

218

A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices.  

E-Print Network (OSTI)

??This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the… (more)

Fazzio, Thomas J. (Thomas Joseph)

2010-01-01T23:59:59.000Z

219

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

220

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

E-Print Network (OSTI)

The dynamics of the U.S. and Canada natural gas spot markets are evolving through deregulation policies and technological advances. Economic theory suggests that these markets will be integrated. The key question is the extent of integration among the markets. This thesis characterizes the degree of dynamic integration among 11 major natural gas markets, six from the U.S. and five from Canada, and determines each individual markets’ role in price discovery. This is the first study to include numerous Canadian markets in a North American natural gas market study. Causal flows modeling using directed acyclic graphs in conjunction with time series analysis are used to explain the relationships among the markets. Daily gas price data from 1994 to 2009 are used. The 11 natural gas market prices are tied together with nine long-run co-integrating relationships. All markets are included in the co-integration space, providing evidence the markets are integrated. Results show the degree of integration varies by region. Further results indicate no clear price leader exists among the 11 markets. Dawn market is exogenous in contemporaneous time, while Sumas market is an information sink. Henry Hub plays a significant role in the price discovery of markets in the U.S. Midwest and Northeast, but little to markets in the west. The uncertainty of a marketsprice depends primarily on markets located in nearby regions. Policy makers may use information on market integration for important policy matters in efforts of attaining efficiency. Gas traders benefit from knowing the price discovery relationships.

Olsen, Kyle

2010-12-01T23:59:59.000Z

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.


221

Market structure and the price of electricity: An ex ante analysis of the deregulated Swedish electricity market  

Science Conference Proceedings (OSTI)

Following new legislation the Swedish electricity market is about to be deregulated. The new system is designed to ensure competition in production and supply. The main motive for deregulation is to increase competition and thus achieve lower market prices. A possible threat to this outcome is the high degree of concentration on the seller side that characterizes the Swedish electricity market. In this paper we show that given the current structure of firms on the supply side, deregulation is not a sufficient condition for lower equilibrium prices in the electricity market. We use a numerical model to explore the quantitative relation between the Cournot-equilibrium price, the number of firms, and the size distribution of firms in the Swedish electricity market. We compute equilibrium electricity prices and a welfare measure in order to quantify the effect of asymmetric market concentration on competition. 3 refs., 1 fig., 6 tabs.

Andersson, B.; Bergman, L. [Stockholm School of Economics (Sweden)

1995-12-31T23:59:59.000Z

222

HOUSES!an independent view of the property market Prices and Affordability Lending Activity Supply The Economy  

E-Print Network (OSTI)

term trends for house prices and asks where prices will go from here. I would like to say Halifax price Nationwide price Chart 1: Halifax and Nationwide House Price Trends SourcesHOUSES!an independent view of the property market Prices and Affordability Lending Activity Supply

Evans, Paul

223

Price supports and demand in commodity market modeling  

E-Print Network (OSTI)

Gerdner, B. L. "Futures Prices in Supply Analysis." Amer. J.Service. Spot and Futures Prices." Limited Dcpenden{avec Leuthold, R. ~1. "The Price Performance on the Futures

Riboud, Chris; Rausser, Gordon C.

1981-01-01T23:59:59.000Z

224

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

225

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

Paris-Sud XI, Université de

226

Forecasting market prices in a supply chain game q Christopher Kiekintveld a,*, Jason Miller b  

E-Print Network (OSTI)

), the simulation day, and the linear trend of selling prices from the previous ten days. For predicting future prices, we used the same set of features with the addition of the estimated customer demand trend (s). 4Forecasting market prices in a supply chain game q Christopher Kiekintveld a,*, Jason Miller b

Wellman, Michael P.

227

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

1 1.1 History of Natural Gas8 4.1 U.S. Wellhead and AEO Natural Gas8 4.2 U.S. Wellhead and Henry Hub Natural Gas

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-01-01T23:59:59.000Z

228

Dynamic Pricing, Advanced Metering, and Demand Response in Electricity Markets  

E-Print Network (OSTI)

as Large Comm. Interval metering system with monthly dataDynamic Pricing, Advanced Metering and Demand Response inE Dynamic Pricing, Advanced Metering, and Demand Response in

Borenstein, Severin; Jaske, Michael; Rosenfeld, Arthur

2002-01-01T23:59:59.000Z

229

Central Appalachian (CAPP) coal spot prices affect markets for ...  

U.S. Energy Information Administration (EIA)

Note: Bloomberg prices for the prompt month have been shifted forward by one month to show the spot versus delivered price for the same month.

230

Natural Gas Spot Prices: - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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 ...

231

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

E-Print Network (OSTI)

Given the role electricity and natural gas sectors play in the North American economy, an understanding of how markets for these commodities interact is important. This dissertation independently characterizes the price dynamics of major electricity and natural gas spot markets in North America by combining directed acyclic graphs with time series analyses. Furthermore, the dissertation explores a generalization of price difference bands associated with the law of one price. Interdependencies among 11 major electricity spot markets are examined in Chapter II using a vector autoregression model. Results suggest that the relationships between the markets vary by time. Western markets are separated from the eastern markets and the Electricity Reliability Council of Texas. At longer time horizons these separations disappear. Palo Verde is the important spot market in the west for price discovery. Southwest Power Pool is the dominant market in Eastern Interconnected System for price discovery. Interdependencies among eight major natural gas spot markets are investigated using a vector error correction model and the Greedy Equivalence Search Algorithm in Chapter III. Findings suggest that the eight price series are tied together through sixlong-run cointegration relationships, supporting the argument that the natural gas market has developed into a single integrated market in North America since deregulation. Results indicate that price discovery tends to occur in the excess consuming regions and move to the excess producing regions. Across North America, the U.S. Midwest region, represented by the Chicago spot market, is the most important for price discovery. The Ellisburg-Leidy Hub in Pennsylvania and Malin Hub in Oregon are important for eastern and western markets. In Chapter IV, a threshold vector error correction model is applied to the natural gas markets to examine nonlinearities in adjustments to the law of one price. Results show that there are nonlinear adjustments to the law of one price in seven pair-wise markets. Four alternative cases for the law of one price are presented as a theoretical background. A methodology is developed for finding a threshold cointegration model that accounts for seasonality in the threshold levels. Results indicate that dynamic threshold effects vary depending on geographical location and whether the markets are excess producing or excess consuming markets.

Park, Haesun

2005-08-01T23:59:59.000Z

232

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

the tenant. If energy prices rise (from market fluctuationsenergy consumption that is “affected” by a market failure and “insulated” from pricemarket barriers, principal agent problem, energy efficiency, investment, behaviour, energy price,

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

233

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

234

Linear Clearing Prices in Non-Convex European Day-Ahead Electricity Markets  

E-Print Network (OSTI)

The European power grid can be divided into several market areas where the price of electricity is determined in a day-ahead auction. Market participants can provide continuous hourly bid curves and combinatorial bids with associated quantities given the prices. The goal of our auction is to maximize the economic surplus of all participants subject to transmission constraints and the existence of linear prices. In general strict linear prices do not exist in non-convex markets. Therefore we enforce the existence of linear prices where no one incurs a loss and only combinatorial bids might see a not realized gain. The resulting optimization problem is an MPEC that can not be solved efficiently by a standard solver. We present an exact algorithm and a fast heuristic for this type of problem. Both algorithms decompose the MPEC into a master MIP and price subproblems (LPs). The modeling technique and the algorithms are applicable to all MIP based combinatorial auctions.

Martin, Alexander; Pokutta, Sebastian

2012-01-01T23:59:59.000Z

235

Forecasting Market Prices in a Supply Chain Game Christopher Kiekintveld, Jason Miller, Patrick R. Jordan, and Michael P. Wellman  

E-Print Network (OSTI)

Forecasting Market Prices in a Supply Chain Game Christopher Kiekintveld, Jason Miller, Patrick R, to forecast market prices in the Trading Agent Com- petition Supply Chain Management Game. As a guiding, Experimentation, Measurement Keywords Forecasting, Markets, Price prediction, Trading agent competition, Supply

Wellman, Michael P.

236

Impact of storage on the efficiency and prices in real-time electricity markets  

Science Conference Proceedings (OSTI)

We study the effect of energy-storage systems in dynamic real-time electricity markets. We consider that demand and renewable generation are stochastic, that real-time production is affected by ramping constraints, and that market players seek to selfishly ... Keywords: electricity pricing, energy economics, energy storage system, market efficiency

Nicolas Gast, Jean-Yves Le Boudec, Alexandre Proutière, Dan-Cristian Tomozei

2013-01-01T23:59:59.000Z

237

Effects of Price Signal Choices on Market Stability Hideyuki Mizuta  

E-Print Network (OSTI)

their estimates of price trend. The agents then send bids to sell or buy according to their food inventory of trend traders. In section 3 we describe the effects of using other price signals, specifically, the introduction of trend traders can produce price bubbles, as illustrated in Fig. 6. Until now we have described

Steiglitz, Kenneth

238

Price forecasting and optimal operation of wholesale customers in a competitive electricity market  

E-Print Network (OSTI)

c ? Hamidreza Zareipour 2006I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. 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 of demand-side Bulk Electricity Market Customers (BEMCs). The Ontario electricity market is selected as the primary case market and its structure is studied in detail. A set of explanatory variable candidates is then selected accordingly, which may explain price behavior in this market. In the process of selecting the explanatory variable candidates, some important issues, such as direct or indirect effects of the variables on price behavior, availability of the variables before real-time, choice of appropriate forecasting horizon and market time-line, are taken into account. Price and demand in three neighboring electricity markets, namely, the New York, New England, and PJM electricity markets, are also considered among the explanatory variable candidates.

Hamidreza Zareipour

2006-01-01T23:59:59.000Z

239

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

240

Empirical Analysis of the Spot Market Implications of Price-Responsive Demand  

E-Print Network (OSTI)

CA, USA. Siddiqui, AS (2004), “Price-Elastic Demand inand Demand Response in Electricity Markets,” CSEM Working Paper CSEM-WP-105, University of California Energy Institute, Berkeley, CA, USA.

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2008-01-01T23:59:59.000Z

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.


241

Natural Gas Marketer Prices and Sales To Residential and Commercial Customers: 2002-2005  

Reports and Publications (EIA)

This report compares residential and commercial prices collected from natural gas marketers and local distribution companies in MD, NY, OH and PA from 2002-2005 and gives the history and status of natural gas choice programs in those States.

Amy Sweeney

2007-06-29T23:59:59.000Z

242

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

243

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

244

Investment Efficiency in Competitive Electricity Markets With and Without Time-Varying Retail Prices  

E-Print Network (OSTI)

The standard economic model of efficient competitive markets relies on the ability of sellers to charge prices that vary as their costs change. Yet, there is no restructured electricity market in which most retail customers can be charged realtime prices (RTP), prices that can change as frequently as wholesale costs. We analyze the impact of having some share of customers on time-invariant pricing in competitive electricity markets. Not only does time-invariant pricing in competitive markets lead to outcomes (prices and investment) that are not first-best, it even fails to achieve the second-best optimum given the constraint of time-invariant pricing. We then study a number of policy interventions that have been proposed to address the perceived inadequacy of capacity investment. We show that attempts to correct the level of investment through taxes or subsidies on electricity or capacity are unlikely to succeed, because these interventions create new inefficiencies. We demonstrate that the most common proposal, a subsidy to capacity ownership financed by a tax on retail electricity, is particularly problematic. An alternative approach to improving efficiency, increasing the share of customers on RTP, has some surprising effects. We show that such a change lowers the equilibrium price to flat rate customers

Severin Borenstein; Stephen P. Holland

2003-01-01T23:59:59.000Z

245

Central Appalachian (CAPP) coal spot prices affect markets for ...  

U.S. Energy Information Administration (EIA)

View All Tags › View Tag Cloud › ... The FOB price is quoted at the rail or barge point of origin. ... and influence other risk management mechanisms.

246

Essays on pricing electricity and electricity derivatives in deregulated markets.  

E-Print Network (OSTI)

??This dissertation is composed of four essays on the behavior of wholesale electricity prices and their derivatives. The first essay provides an empirical model that… (more)

Popova, Julia.

2008-01-01T23:59:59.000Z

247

Utah Quantity of Production Associated with Reported Wellhead...  

Annual Energy Outlook 2012 (EIA)

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Utah Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade...

248

Missouri Quantity of Production Associated with Reported Wellhead...  

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

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Missouri Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet)...

249

Tennessee Quantity of Production Associated with Reported Wellhead...  

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

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Tennessee Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet)...

250

Illinois Quantity of Production Associated with Reported Wellhead...  

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

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Illinois Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet)...

251

Arizona Quantity of Production Associated with Reported Wellhead...  

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

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Arizona Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet)...

252

Florida Quantity of Production Associated with Reported Wellhead...  

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

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Florida Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet)...

253

Kansas Quantity of Production Associated with Reported Wellhead...  

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

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Kansas Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet)...

254

U.S. Quantity of Production Associated with Reported Wellhead...  

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

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) U.S. Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade...

255

Maryland Quantity of Production Associated with Reported Wellhead...  

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

Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Maryland Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet)...

256

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

257

Buying Beauty: On Prices and Returns in the Art Market  

Science Conference Proceedings (OSTI)

This paper investigates the price determinants and investment performance of art. We apply a hedonic regression analysis to a new data set of more than one million auction transactions of paintings and works on paper. Based on the resulting price index, ... Keywords: art, auctions, hedonic regressions, investments, repeat-sales regressions, sentiment

Luc Renneboog; Christophe Spaenjers

2013-01-01T23:59:59.000Z

258

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

E-Print Network (OSTI)

This paper presents an empirical analysis of 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 in our analysis is the one-to-twelve month forward contract prices and the shape of the forward contract price curve, using auction data for the regional electricity trading hubs in which the building is located and auction data from the Henry Hub for natural gas. We also include weather metrics in the form of the variance in the last twelve months of minimum and maximum temperature and precipitation for each building’s location and sale date. Our final set of controls includes information on the dominant contractual leasing structure of the buildings. Our empirical results suggest that Energy Star labels do not explain additional variance in property prices once the key asset pricing factors of expenses, income and market capitalization rates are included. Energy factor market prices, the shape of the energy forward price curves, and weather metrics are consistently shown to be statistically significant determinants of office building transaction prices, suggesting that commercial office building prices are likely to be exposed to shocks in these markets.

Dwight Jaffee; Richard Stanton; Nancy Wallace

2011-01-01T23:59:59.000Z

259

The Impact of Varying Natural Gas Prices on the Potential Distributed Resources Market  

Science Conference Proceedings (OSTI)

Studies of the potential market for distributed resources (DR) have typically assumed that long-term gas rates will increase in a gradual and uniform fashion; however, natural gas rates can peak at very high rates as they did in late 2000 and early 2001. This project studied the response of the DR market to changes in future gas prices in a range of plausible scenarios. It suggests that relatively high natural gas prices and non-uniform annual price fluctuations may strongly affect the size and character...

2002-11-14T23:59:59.000Z

260

Internet Advertising: Market Structure and New Pricing Methods  

Science Conference Proceedings (OSTI)

In this paper the Internet advertising market is analyzed. Data and estimates confirm that the Web represents a real threat to television and newspapers. Therefore, the main characteristics of the advertising market are described in order to point out ...

Andrea Mangàni

2000-09-01T23:59:59.000Z

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.


261

Efficient Retail Pricing in Electricity and Natural Gas Markets: A Familiar Problem with New Challenges  

E-Print Network (OSTI)

A long line of research investigates whether the retail prices of electricity and natural gas send proper signals about scarcity in order to induce efficient consumption. Historically, regulated utilities have not designed tariffs that set marginal prices equal to marginal costs. Currently, some jurisdictions are opening the retail sectors of the gas and electricity industry to competition via “retail choice”. These new regimes replace imperfect regulation with imperfect competition as the process by which retail tariffs are formed. We discuss the challenges in evaluating the efficiency of these new pricing regimes and present descriptive evidence of how pricing has changed in markets with retail choice.

Steven L. Puller; Jeremy West

2013-01-01T23:59:59.000Z

262

Coal market fundamentals changed, yet spot prices remained stable ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy companies. ... Source: U.S. Energy Information Administration, Weekly Coal Production, ...

263

Credit Market Distortions, Asset Prices and Monetary Policy  

E-Print Network (OSTI)

decisions. In our framework, ?rms are committed to pay 3the wage bill before production takes place and pro?ts are realized. Although ?rms could alternatively issue new equity, this possibility is a priori excluded. In fact, due to adverse selection... prices is always bene?cial, from a welfare point of view, 4when the central bank considers a term re?ecting stock price volatility in the loss function. Our results point out that responding to asset prices misalignments might be bene?cial when strong...

Pfajfar, D; Santoro, E

264

Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks  

Science Conference Proceedings (OSTI)

In this paper, next-day hourly forecasts are calculated for the energy price in the electricity production market of Spain. The methodology used to achieve these forecasts is based on artificial neural networks, which have been used successfully in recent ... Keywords: ART network, Backpropagation network, Box-Jenkins, Electricity market, Neural networks, Time series forecasting

Raúl Pino; José Parreno; Alberto Gomez; Paolo Priore

2008-02-01T23:59:59.000Z

265

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

E-Print Network (OSTI)

This paper examines 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 for the fact that stock markets may respond nonlinearly to oil price shocks, we have examined both linear and nonlinear relationships. Our findings show that there are significant links between the two variables in Qatar, Oman, and UAE. Thus, stock markets in these countries react positively to oil price

Mohamed El; Hedi Arouri; Julien Fouquau

2009-01-01T23:59:59.000Z

266

Mississippi Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Wellhead Price: 6.70: 8.80: 3.73: 4.17 : 1967-2010: Imports Pric ...

267

Alabama Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Wellhead Price: 7.44: 9.65: 4.32: 4.46 : 1967-2010: Pipeline and ...

268

Crude oil, natural gas, and petroleum products prices all fell ...  

U.S. Energy Information Administration (EIA)

So oil prices averaged over the year decreased sharply while year-end price ... Imported Refiner Acquisition Cost of Crude Oil and Natural Gas Wellhead Prices, 1972-2009

269

Futures Markets and the Reservation Price of Stumpage  

E-Print Network (OSTI)

are out of date. lumber and plywood prices to adjust theselength 2x4 full of random lumber (or 1/2 1• COX plywood forthe plywood contract) delivered in a specific place,

Berck, Peter; Bible, Thomas

1982-01-01T23:59:59.000Z

270

Analysis of price diffusion in financial markets using PUCK model  

E-Print Network (OSTI)

Based on the new type of random walk process called the Potentials of Unbalanced Complex Kinetics (PUCK) model, we theoretically show that the price diffusion in large scales is amplified 2/(2 + b) times, where b is the coefficient of quadratic term of the potential. In short time scales the price diffusion depends on the size M of the super moving average. Both numerical simulations and real data analysis of Yen-Dollar rates are consistent with theoretical analysis.

Mizuno, T; Takayasu, M; Mizuno, Takayuki; Takayasu, Hideki; Takayasu, Misako

2006-01-01T23:59:59.000Z

271

Unstable Price Dynamics as a Result of Information Absorption in Speculative Markets  

E-Print Network (OSTI)

In speculative markets, risk-free profit opportunities are eliminated by traders exploiting them. Markets are therefore often described as "informationally efficient", rapidly removing predictable price changes, and leaving only residual unpredictable fluctuations. This classical view of markets absorbing information and otherwise operating close to an equilibrium is challenged by extreme price fluctuations, in particular since they occur far more frequently than can be accounted for by external news. Here we show that speculative markets which absorb mainly self-generated information can exhibit both: evolution towards efficient equilibrium states as well as their subsequent destabilization. This peculiar dynamics, a generic instability arising from an adaptive control which annihilates predictable information, is realized in a minimal agent-based market model where the impacts of agents' strategies adapt according to their trading success. This adaptation implements a learning rule for the market as a whole...

Patzelt, Felix

2012-01-01T23:59:59.000Z

272

Want to Put an End to Capacity Markets? Think Real-Time Pricing  

Science Conference Proceedings (OSTI)

The amount of generation capacity that must be installed to meet resource adequacy requirements often causes the energy market to be suppressed to the point that it fails to produce sufficient revenues to attract new entry. A significant expansion in the use of real-time pricing can, over time, cause the energy market to become a more bountiful source of revenues for generators, allowing the elimination of the capacity market. (author)

Reeder, Mark

2006-07-15T23:59:59.000Z

273

Price discovery in auction markets: A look inside the black box  

E-Print Network (OSTI)

This paper examines the process of price discovery at the New York Stock Exchange (NYSE) single price opening auction. Interest in this topic is motivated by the crucial role played by opening mechanisms in information aggregation following the overnight non-trading period. In addition, the operation of auction markets is an issue of considerable importance for new, automated trading systems as well as extant exchanges. We show empirically that specialists significantly facilitate price discovery. Specifically, the opening price set by the specialist is more efficient than the price that would prevail in a pure auction with only public orders. This is consistent with a model where specialists learn from observing the evolution of the limit order book. The specialist’s opening trade reflects private information and non-informational factors such as inventory control and price continuity. We discuss the empirical and policy implications of these results.

Ananth Madhavan; Venkatesh Panchapagesan; Frank Hatheway; Patrik S; George Sofianos

2000-01-01T23:59:59.000Z

274

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

E-Print Network (OSTI)

March. Neenan, B. (1992) “Electricity A La Carte” ElectricPrice Responsive? ” The Electricity Journal 15(3): 52-59.ahead Wholesale Market Electricity Prices: Case Study of RTP

2004-01-01T23:59:59.000Z

275

Controlling Market Power and Price Spikes in Electricity Networks: Demand-side Bidding  

E-Print Network (OSTI)

Simona Lup, Jia Jing Liu and Stephen Sosnicki for help with running the experiments and testing the software. This paper has benefited from comments from Kevin McCabe, Mark Olson, Dave Porter, and Stan Reynolds, but all errors are our own. The data are available upon request from the authors. Controlling Market Power and Price Spikes in Electricity Networks: Demand-Side Bidding In this paper we report experiments that examine how two structural features of electricity networks contribute to the exercise of market power in deregulated markets. The first feature is the distribution of ownership of a given set of generating assets. In the market power treatment, two large firms are allocated baseload and intermediate cost generators such that either firm might unilaterally withhold the capacity of its intermediate cost generators from the market to benefit from the supracompetitive prices that would result from only selling its baseload units. In the converse treatment, ownership of some of the intermediate cost generators is transferred from each of these firms to two other firms, so that no one firm could unilaterally restrict output to spawn supra-competitive prices. The second feature explores how the presence of line constraints in a radial network may segment the market and promote supra-competitive pricing in the isolated market segments. We also consider the interaction effect when both of these structural features are present. Having established a wellcontrolled data set with price spikes paralleling those observed in the naturally occurring economy, we also extend the design to include demand-side bidding. We find that demand-side bidding completely neutralizes the exercise of market power and eliminates price spikes.

Stephen J. Rassenti; Vernon L. Smith; Bart J. Wilson

2003-01-01T23:59:59.000Z

276

Biofuel policy and stock price in imperfectly competitive markets.  

E-Print Network (OSTI)

??The increase in demand for corn as a biofuel feedstock has had a significant impact on the agricultural markets in the United States. These include… (more)

Tepe, Fatma Sine

2010-01-01T23:59:59.000Z

277

Model documentation: Electricity market module, electricity finance and pricing submodule  

SciTech Connect

The purpose of this report is to define the objectives of the model, describe its basic approach, and provide detail on how it works. The EFP is a regulatory accounting model that projects electricity prices. The model first solves for revenue requirements by building up a rate base, calculating a return on rate base, and adding the allowed expenses. Average revenues (prices) are calculated based on assumptions regarding regulator lag and customer cost allocation methods. The model then solves for the internal cash flow and analyzes the need for external financing to meet necessary capital expenditures. Finally, the EFP builds up the financial statements. The EFP is used in conjunction with the National Energy Modeling System (NEMS). Inputs to the EFP include the forecast generating capacity expansion plans, operating costs, regulator environment, and financial data. The outputs include forecasts of income statements, balance sheets, revenue requirements, and electricity prices.

1994-04-07T23:59:59.000Z

278

LNG price parity with oil clouds future of European gas market  

Science Conference Proceedings (OSTI)

Europe's international gas trade may have to mark time while the gas industry determines whether the fuel can remain competitive in the wake of Algeria's recent political victory - a high price for its LNG exports to France. Potential gas buyers will face sellers seeking to emulate the $5.10/million Btu price level. The latest conflict, between Algeria and Italy, is preventing start-up of the completed trans-Mediterranean pipeline. Large gas-price increases across Europe would prompt bulk steam-raisers to move to other fuels; the premium household and commercial markets would not be able to absorb the surplus. If the trend of LNG price parity with crude continues, gas could lose a substantial share of its European market and LNG projects will continue to be abandoned.

Vielvoye, R.

1982-04-19T23:59:59.000Z

279

Credit Supply and House Prices: Evidence from Mortgage Market Segmentation ?  

E-Print Network (OSTI)

We show that easier access to mortgage credit significantly increases house prices by using exogenous changes in the conforming loan limit as an instrument for easier credit supply and cheaper cost of credit. We find that houses that become eligible for financing with a conforming loan show an increase in house value of 1.1 dollars per square foot (for an average price per square foot of 224 dollars) and higher overall house prices controlling for a rich set of house characteristics. These coefficients are consistent with a local elasticity of house prices to interest rates below 6. In addition, loan to value ratios around the conforming loan limit deviate significantly from the common 80 percent norm, which confirms that it is an important factor in the financing choices of home buyers. In line with our interpretation, the results are stronger in the first half of our sample (1998-2001) when the conforming loan limit was more important, given that other forms of financing were less common and substantially more expensive.

Manuel Adelino; Antoinette Schoar; Felipe Severino; We Thank Viral Acharya; Gustavo Manso; Atif Mian; Sendhil Mullainathan; Chris Mayer; David Scharfstein; Mathew Slaughter; Jeremy Stein; Bill Wheaton

2011-01-01T23:59:59.000Z

280

notice, is given to the source. On the Efficiency of Competitive Electricity Markets With Time-Invariant Retail Prices  

E-Print Network (OSTI)

The standard economic model of efficient competitive markets relies on the ability of sellers to charge prices that vary as their costs change. Yet, there is no restructured electricity market in which most retail customers can be charged realtime prices (RTP), prices that can change as frequently as wholesale costs. We analyze the impact of having some share of customers on time-invariant pricing in competitive electricity markets. Not only does time-invariant pricing in competitive markets lead to outcomes (prices and investment) that are not first-best, it even fails to achieve the second-best optimum given the constraint of time-invariant pricing. We then show that attempts to correct the level of investment through taxes or subsidies on electricity or capacity are unlikely to succeed, because these interventions create new inefficiencies. In contrast, increasing the share of customers

Severin Borenstein; Stephen P. Holland; We Thank Jim Bushnell; Joe Farrell; Morten Hviid; Erin Mansur; Michael Riordan; Lawrence White; Severin Borenstein; Stephen P. Holl

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.


281

Does property market risks matter in commercial mortgage loan pricing : an inquiry into the determinants of commercial mortgage loan spread  

E-Print Network (OSTI)

The study takes a quantitative approach to test the determinants of commercial mortgage loan pricing at origination. The determinants include capital market risk, property market risks, mortgage terms and property ...

Wang, Xin, S.M. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

282

Spot pricing of electricity and ancillary services in a competitive California market  

Science Conference Proceedings (OSTI)

Typically, in competitive electricity markets, the vertically integrated utilities that were responsible for ensuring system reliability in their own service territories, or groups of territories, cease to exist. The burden falls to an independent system operator (ISO) to ensure that enough ancillary services (AS) are available for safe, stable, and reliable operation of the grid, typically defined, in part, as compliance with officially approved engineering specifications for minimum levels of AS. In order to characterize the behavior of market participants (generators, retailers, and an ISO) in a competitive electricity market with reliability requirements, spot markets for both electricity and AS are modeled. By assuming that each participant seeks to maximize its wealth and that all markets clear, we solve for the optimal quantities of electricity and AS traded in the spot market by all participants, as well as the market clearing prices for each.

Siddiqui, A.S.; Marnay, C.; Khavkin, M.

2000-11-01T23:59:59.000Z

283

FIRST PRICE AND SECOND PRICE AUCTION MODELLING FOR ENERGY CONTRACTS IN LATIN AMERICAN ELECTRICITY MARKETS  

E-Print Network (OSTI)

demand growth. Current electricity market designs are being reviewed to avoid supply difficulties concept, named "capacity tag" for each plant is being proposed and in the FERC/EU direc- tives in the US INTERRUPTED MARKETS OPERATING COUNTRIES WITH POWER ADJUSTMENTS INTHE REFORM PROCESS INTERESTED INTHE NEW

Rudnick, Hugh

284

Contract No. DE-AC03-76SF00098. Price-Elastic Demand in Deregulated Electricity Markets  

E-Print Network (OSTI)

The degree to which anyderegulated market functions e ciently often depends on the ability ofmarket agents to respond quickly to uctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we nd that price elasticity bothincreases the retailer's revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite e ect, the overall impact of price responsive demand on the electricity forward price is ambiguous. Indeed, each retailer's response depends on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we nd that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we nd that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

Afzal S. Siddiqui; Afzal S. Siddiqui

2003-01-01T23:59:59.000Z

285

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

Science Conference Proceedings (OSTI)

ABSTRACT=Demand response (DR) is increasingly recognized asan essential ingredient to well-functioning electricity markets. DRmarket potential studies can answer questions about the amount of DRavailable in a given area, from which market segments. Several recent DRmarket potential studies have been conducted, most adapting techniquesused to estimate energy-efficiency (EE) potential. In this scoping study,we: reviewed and categorized seven recent DR market potential studies;recommended a methodology for estimating DR market potential for large,non-residential utility customers that uses price elasticities to accountfor behavior and prices; compiled participation rates and elasticityvalues from six DR options offered to large customers in recent years,and demonstrated our recommended methodology with large customer marketpotential scenarios at an illustrative Northeastern utility. We recommendan elasticity approach for large-customer DR options that rely oncusto!

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

2007-06-01T23:59:59.000Z

286

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

Science Conference Proceedings (OSTI)

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

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

2005-08-25T23:59:59.000Z

287

Protecting the Market from ``Hockey Stick'' Pricing: How  

E-Print Network (OSTI)

at the Market Oversight Division of the Public Utility Commission of Texas in Austin. His duties involve the University of Texas at Austin. Shmuel Oren is Professor of Industrial Engineering and Operations Research stick strategy involves offers of a small, expendable quantity of energy or capacity well in excess

Oren, Shmuel S.

288

Application of a new hybrid neuro-evolutionary system for day-ahead price forecasting of electricity markets  

Science Conference Proceedings (OSTI)

In this paper, a new forecast strategy is proposed for day-ahead prediction of electricity prices, which are so valuable for both producers and consumers in the new competitive electric power markets. However, electricity price has a nonlinear, volatile ... Keywords: Evolutionary algorithm, Hybrid neuro-evolutionary system, Neural network, Price forecast

Nima Amjady; Farshid Keynia

2010-06-01T23:59:59.000Z

289

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

290

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

E-Print Network (OSTI)

of global environment and energy challenges, thereby contributing to informed debate about climate changeUsing market-based dispatching with environmental price signals to reduce emissions and water use with independent policy analysis to provide a solid foundation for the public and private decisions needed

291

Price strategies in dynamic duopolistic markets with deregulated electricity supplies using mixed strategies  

Science Conference Proceedings (OSTI)

While effective competition can force service providers to seek economically efficient methods to reduce costs, the deregulated electricity supply industry still allows some generators to exercise market power at particular locations, thereby preventing ... Keywords: deregulated electricity supplies, mixed strategies, price strategies

Jose B. Cruz, Jr.; Xiaohuan Tan

2005-10-01T23:59:59.000Z

292

Reviewing progress in PJM's capacity market structure via the new reliability pricing model  

Science Conference Proceedings (OSTI)

The Reliability Pricing Model introduces significant changes to the capacity market structure of PJM. The main feature of the RPM design is a downward-sloping demand curve, which replaces the highly volatile vertical demand curve. The authors review the latest RPM structure, results of the auctions, and the future course of the implementation process. (author)

Sener, Adil Caner; Kimball, Stefan

2007-12-15T23:59:59.000Z

293

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

E-Print Network (OSTI)

of circumstances. In the electric power industry, studying the costs of load forecasting errors has been a topic forecast in electric load forecasting models is discussed in [21]. The findings of [19]­[21] are consistentIEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price Forecasting Errors

Cañizares, Claudio A.

294

Price strategies in dynamic duopolistic markets with deregulated electricity supplies using mixed strategies  

Science Conference Proceedings (OSTI)

While effective competition can force service providers to seek economically efficient methods to reduce costs, the deregulated electricity supply industry still allows some generators to exercise market power at particular locations, thereby preventing ... Keywords: Deregulated electricity supplies, Mixed strategies, Price strategies

Jose B. Cruz, Jr.; Xiaohuan Tan

2005-10-01T23:59:59.000Z

295

A Price Dynamics in Bandwidth Markets for Point-to-point Connections  

E-Print Network (OSTI)

We simulate a network of N routers and M network users making concurrent point-to-point connections by buying and selling router capacity from each other. The resources need to be acquired in complete sets, but there is only one spot market for each router. In order to describe the internal dynamics of the market, we model the observed prices by N-dimensional Ito-processes. Modeling using stochastic processes is novel in this context of describing interactions between end-users in a system with shared resources, and allows a standard set of mathematical tools to be applied. The derived models can also be used to price contingent claims on network capacity and thus to price complex network services such as quality of service levels, multicast, etc.

Lars Rasmusson; Erik Aurell

2001-02-15T23:59:59.000Z

296

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

Natural Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Natural Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . .versus AEO and Henry Hub Natural Gas Prices . . . . . .

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-01-01T23:59:59.000Z

297

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . .versus AEO and Henry Hub Natural Gas Prices . . . . . .

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-01-01T23:59:59.000Z

298

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

299

Empirical Analysis of the Spot Market Implications ofPrice-Responsive Demand  

SciTech Connect

Regardless of the form of restructuring, deregulatedelectricity industries share one common feature: the absence of anysignificant, rapid demand-side response to the wholesale (or, spotmarket) price. For a variety of reasons, most electricity consumers stillpay an average cost based regulated retail tariff held over from the eraof vertical integration, even as the retailers themselves are oftenforced to purchase electricity at volatile wholesale prices set in openmarkets. This results in considerable price risk for retailers, who aresometimes additionally forbidden by regulators from signing hedgingcontracts. More importantly, because end-users do not perceive real-time(or even hourly or daily) fluctuations in the wholesale price ofelectricity, they have no incentive to adjust their consumptionaccordingly. Consequently, demand for electricity is highly inelastic,which together with the non storability of electricity that requiresmarket clearing over very short time steps spawn many other problemsassociated with electricity markets, such as exercise of market power andprice volatility. Indeed, electricity generation resources can bestretched to the point where system adequacy is threatened. Economictheory suggests that even modest price responsiveness can relieve thestress on generation resources and decrease spot prices. To quantify thiseffect, actual generator bid data from the New York control area is usedto construct supply stacks and intersect them with demand curves ofvarious slopes to approximate the effect of different levels of demandresponse. The potential impact of real-time pricing (RTP) on theequilibrium spot price and quantity is then estimated. These resultsindicate the immediate benefits that could be derived from a moreprice-responsive demand providing policymakers with a measure of howprices can be potentially reduced and consumption maintained within thecapability of generation assets.

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2005-08-01T23:59:59.000Z

300

The world oil market and OPEC behavior: The leak-producer price leader model  

SciTech Connect

This is an economic study of the world's oil market in which OPEC plays the central role in determining the oil supply and price. Understanding OPEC's behavior is at the core of understanding the world's oil market. However, oil is a resource belonging to the family of natural resources known as exhaustible. We do not produce oil; we only extract and distribute a fixed amount of the resource over generations. Optimal extraction is a matter of concern to both suppliers and consumers. First, it is shown that using the traditional theory of producers behavior in the conventional commodity markets to explain extractors behavior in exhaustible resource markets is completely wrong. Second, current models of OPEC behavior are reviewed. Third, an alternative model is introduced. Previous authors have not directed their models to give explanations to the peculiar observations in oil market. This model divides the world's oil suppliers into: the free riders (non-OPEC oil producers), the OPEC hawks (a group within OPEC) and the leak-producer price leader (Saudi Arabia). Three factors, namely relatively big oil reserves, no other sources of income, and the avoidance of the so-called backstop technology make Saudi Arabia more interested in lower oil prices than are other oil extractors.

Aboalela, A.A.

1988-01-01T23:59:59.000Z

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

Figure 9.4 Natural Gas Prices (Dollarsa per Thousand Cubic Feet)  

U.S. Energy Information Administration (EIA)

Figure 9.4 Natural Gas Prices (Dollarsa per Thousand Cubic Feet) Wellhead and Citygate, 1949–2012 Consuming Sectors, 1967–2012 Consuming Sectors, Monthly

302

GASCAP: Wellhead Gas Productive Capacity Model documentation, June 1993  

SciTech Connect

The Wellhead Gas Productive Capacity Model (GASCAP) has been developed by EIA to provide a historical analysis of the monthly productive capacity of natural gas at the wellhead and a projection of monthly capacity for 2 years into the future. The impact of drilling, oil and gas price assumptions, and demand on gas productive capacity are examined. Both gas-well gas and oil-well gas are included. Oil-well gas productive capacity is estimated separately and then combined with the gas-well gas productive capacity. This documentation report provides a general overview of the GASCAP Model, describes the underlying data base, provides technical descriptions of the component models, diagrams the system and subsystem flow, describes the equations, and provides definitions and sources of all variables used in the system. This documentation report is provided to enable users of EIA projections generated by GASCAP to understand the underlying procedures used and to replicate the models and solutions. This report should be of particular interest to those in the Congress, Federal and State agencies, industry, and the academic community, who are concerned with the future availability of natural gas.

Not Available

1993-07-01T23:59:59.000Z

303

Troubleshooting natural gas processing: Wellhead to transmission  

Science Conference Proceedings (OSTI)

This book describes practical, day-to-day problems of natural gas handling. This book combines field experience with technical principles on natural gas production treating and transmission. This volume is dominated by illustrative case histories and rules of thumb. The book also provides a checklist of distillation problems which is a summary of causes and cures of the problems encountered in the fractionation of propane, butane and natural gasoline. A glossary of terms used in natural gas transmission is another good part of this book. The author has avoided complex mechanical details in favor of simple line drawings. Among the topics discussed are; wellhead pressure and gas flow, vapor-liquid separation at the wellhead, wellhead compression, corrosion in gathering systems, gas sweetening using amines, sulfur recovery, dehydration, centrifugal gas compression, reciprocal gas compression, hydrates, gas cooling and condensate recovery.

Lieberman, N.

1987-01-01T23:59:59.000Z

304

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

305

4. Producers in Today’s Competitive Market  

U.S. Energy Information Administration (EIA)

82 Natural Gas 1996: Issues and Trends Figure 31. Natural Gas Wellhead Prices, 1980-1995 ... long-term business arrangements of 15 to 20 years, ...

306

Dynamical Theory of Price and Money in Volatile Markets. A Physicist's Reaction to Economics  

E-Print Network (OSTI)

The creation and annihilation of money and its economic effects are reviewed. Economic values appear "in the mind" of the market participants; e.g., by pretending, maintaining and achieving a particular price for a certain asset. Upon its creation by banks, this kind of "value phantasy" is converted into "real money" often in terms of buyer's debt accompanied by a simultaneous payment of fiat money to the seller. This money is then multiplied on the money market and is competing against other money supplies for the traded assets, goods and services, where it may cause dilution, inflation and reallocation of resources.

Svozil, Karl

2008-01-01T23:59:59.000Z

307

Natural gas market under the Natural Gas Policy Act  

Science Conference Proceedings (OSTI)

This first of a series of analyses presents data on the exploration, development, production, and pricing of US natural gas since the passage of the Natural Gas Policy Act in 1978. Designed to give pricing incentives for new-well activity, the NGPA has apparently eliminated many of the pricing differences that existed between interstate and intrastate markets. Estimates of the annual production volumes in trillion CF/yr of gas for the categories defined by the NGPA include new gas 4.5, new onshore wells 4.1, high-cost unconventional gas 0.7, and stripper wells 0.4. Preliminary statistics on the end-use pricing of natural gas suggest that significant changes in the average wellhead prices have not caused correspondingly large increases in the price of delivered gas.

Carlson, M.; Ody, N.; O'Neill, R.; Rodekohr, M.; Shambaugh, P.; Thrasher, R.; Trapmann, W.

1981-06-01T23:59:59.000Z

308

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

E-Print Network (OSTI)

Agency. IEA, 2009, Energy prices and taxes, Working paper,prices, the shape of the energy price curves, and weatherto high and volatile energy prices. Most economists would

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

2010-01-01T23:59:59.000Z

309

Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market  

E-Print Network (OSTI)

Respond Asymmet- rically to Crude Oil Price Changes? ” Theof the Pricing of Crude Oil and Petroleum Products. ” Reportwholesale gasoline prices. Crude oil prices are obviously

Lewis, Matt

2004-01-01T23:59:59.000Z

310

Hedging Strategies and the Economic Effects of Price Spikes in the Electricity Market  

E-Print Network (OSTI)

This thesis concerns the newly deregulated Swedish electricity market. More specifically it concerns the large sudden increases in the spot price of electricity, i.e. price spikes, and what can be done in order to minimise the risk associated with price spikes by the use of hedging strategies. We have focused on smaller electricity trading companies. Our research questions are formulated below. • Which of our constructed hedging strategies will be the most advantageous to use in terms of reducing the risk associated with price spikes and at the same time produce the best total result over the year? • What are the most critical issues that will improve the performance of a smaller electricity trading company’s hedging strategy? Our results reveal that the strategy consisting of more precise hedging instruments is the most appropriate in terms of reducing the negative economic effects of price spikes. We also show that there is a need for electricity trading companies to put more emphasis on implementing a broader risk management strategy. Our research shows that the option strategy was successful and we recommend electricity traders to consider options as a tool in their hedging strategy.

Jan Hermansson; Johan Westberg; Graduate Business School; Printed Elanders; Novum Ab Abstract

2002-01-01T23:59:59.000Z

311

Determining market power in deregulated generation markets by measuring price-cost margins  

Science Conference Proceedings (OSTI)

In this article. the author considers one of the more prominent examples of the SFE type by Aleksandr Rudkevich, Max Duckworth, and Richard Rosen (RDR). The conclusion of their paper, that fewer than 30 competitive firms (or, equivalently, an HHI over 333) likely constitute an impermissibly concentrated market, is a startling one, since it is unlikely that any deregulated electricity market will have this many competitors. In examining the source of the RDR conclusion in some detail and seeing where it goes awry, the author thinks it is possible to glean principles that can guide regulators to draw more sensible conclusions about the number of competitors required in these markets.

Falk, J.

1998-07-01T23:59:59.000Z

312

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

E-Print Network (OSTI)

This dissertation examines three important issues in energy markets: price dynamics, information flow, and structural change. We discuss each issue in detail, building empirical time series models, analyzing the results, and interpreting the findings. First, we examine the contemporaneous interdependencies and information flows among crude oil, natural gas, and electricity prices in the United States (US) through the multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) model, Directed Acyclic Graph (DAG) for contemporaneous causal structures and Bernanke factorization for price dynamic processes. Test results show that the DAG from residuals of out-of-sample-forecast is consistent with the DAG from residuals 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 indicators by using a Factor Augmented Vector Autoregression (FAVAR) model and a graphical model without any deductive assumption. The results show that, in contemporaneous time, the federal fund rate shock is exogenous as the identifying assumption in the Vector Autoregression (VAR) framework of the monetary shock transmission mechanism, whereas the WTI crude oil price return is not exogenous. Third, we examine price dynamics and contemporaneous causality among the price returns of WTI crude oil, gasoline, corn, and the S&P 500. We look for structural break points and then build an econometric model to find the consistent sub-periods having stable parameters in a given VAR framework and to explain recent movements and interdependency among returns. We found strong evidence of two structural breaks and contemporaneous causal relationships among the residuals, but also significant differences between contemporaneous causal structures for each sub-period.

Hong, Sung Wook 1977-

2012-12-01T23:59:59.000Z

313

International market integration for natural gas? : a cointegration analysis of priced in Europe, North America and Japan  

E-Print Network (OSTI)

We examine the degree of natural gas market integration in Europe, North America and Japan, between the mid 1990?s and 2002. Our hypothesis is that there was a certain split of prices between Europe and North America. The ...

L'Hegaret, Guillaume

2004-01-01T23:59:59.000Z

314

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 on hauling rates and freight differentials

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

2003-08-25T23:59:59.000Z

315

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

underestimate natural gas prices. The trends changed afterestimate natural gas prices. These trends suggest that

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-01-01T23:59:59.000Z

316

WORKING PAPER SERIESFEDERAL RESERVE BANK of ATLANTA WORKING PAPER SERIES Trading Institutions and Price Discovery: The Cash and Futures Markets for Crude Oil  

E-Print Network (OSTI)

Abstract: We provide substantial evidence that the futures market for West Texas Intermediate crude oil increased the short-term volatility of the cash price of crude oil. We show that the variability of prices increased using both published posted prices and transaction prices for producers. This increased volatility in the price of crude oil may reflect information aggregated into the price, an increase the variance of shocks to the price of crude oil, or noise in the futures price that affects the cash price. We present evidence from experiments consistent with the interpretation that information aggregation not feasible in a posted-price market can explain at least part of the increase in variance. This evidence supports the proposition that information not previously aggregated into the cash price for crude oil is at least part of the reason for the greater variability of the cash price after the opening of the futures market and provides at least one example in which a futures market increased the volatility of the cash market, and prices became more efficient. JEL classification: G130, G140 Key words: crude oil, futures, posted price, experiments, experimental finance, price discovery, information aggregation

Albert Ballinger; Gerald P. Dwyer; Ann B. Gillette; Albert Ballinger; Gerald P. Dwyer; Ann B. Gillette

2004-01-01T23:59:59.000Z

317

Agent-based simulations of the software market under different pricing schemes for software-as-a-service and perpetual software  

Science Conference Proceedings (OSTI)

In this paper, we present agent-based simulations that model the interactions between software buyers and vendors in a software market that offers Software-as-a-Service (SaaS) and perpetual software (PS) licensing under different pricing schemes. In ... Keywords: agentbased simulation, analytic hierarchy process (AHP), decision support, dynamic pricing, perpetual software pricing, software-as-a-service pricing

Juthasit Rohitratana; Jörn Altmann

2010-08-01T23:59:59.000Z

318

Capacity Markets for Electricity  

E-Print Network (OSTI)

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

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

319

Gas Market Transition: Impacts of Power Generation on Gas Pricing Dynamics  

Science Conference Proceedings (OSTI)

The power sector is beginning to influence the natural gas market, affecting both total natural gas demand and aspects of natural gas price behavior. This report offers a single source that quantifies these influences. With the addition of new gas-fired generating capacity, the use of gas generation in the power sector has grown steadily. However, this progression was arrested after 2002 when the brunt of overbuilding was felt, and gas use in the power sector migrated to ever more efficient units. While ...

2005-03-16T23:59:59.000Z

320

Empirical Analysis of the Spot Market Implications of Price-Responsive Demand  

E-Print Network (OSTI)

are exposed to real-time electricity prices, they can adjustCustomers Respond to Electricity Price Variability: A Studyhours lowers the electricity spot price and reduces needed

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2008-01-01T23:59:59.000Z

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

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

against the risk of energy price fluctuations. In theory,The poor track record of energy price forecasting models hasof information about future energy prices, including most

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

322

Western cattle prices vary across video markets and value-adding programs  

E-Print Network (OSTI)

results show average price differences between the regionthe highest average prices. † These values are statisticallyfactors affecting cow auction price differentials. Southern

Blank, Steven C.; Boriss, Hayley; Forero, Larry C.; Nader, Glenn A.

2006-01-01T23:59:59.000Z

323

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

324

Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market  

E-Print Network (OSTI)

Asymmet- rically to Crude Oil Price Changes? ” The Quarterlyin West Texas Crude Oil Price Robust-Clustered standardin West Texas Crude Oil Price Robust-Clustered standard

Lewis, Matt

2004-01-01T23:59:59.000Z

325

Video market data for calves and yearlings confirms price discounts for Western cattle  

E-Print Network (OSTI)

highest average nominal prices. ) Results not adjusted fordiscounted. For TABLE 4. Price premiums for value-addedhighest average nominal prices. ) Results not adjusted for

Blank, Steven; Forero, Larry C.; Nader, Glenn A.

2009-01-01T23:59:59.000Z

326

Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market  

E-Print Network (OSTI)

Search with Learning from Prices: Does In- creased In?Gilbert (1997) “Do Gasoline Prices Respond Asymmet- ricallyto Crude Oil Price Changes? ” The Quarterly Journal of

Lewis, Matt

2004-01-01T23:59:59.000Z

327

The Speed of Gasoline Price Response in Markets With and Without Edgeworth Cycles  

E-Print Network (OSTI)

Eckert, Andrew, “Retail Price Cycles and the Presence ofLewis, Matthew, “Asymmetric Price Adjustment and ConsumerTemporary Wholesale Gasoline Price Spikes have Long-lasting

Lewis, Matt; Noel, Michael

2009-01-01T23:59:59.000Z

328

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 +

329

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

Science Conference Proceedings (OSTI)

There is growing interest in policies, programs and tariffs that encourage customer loads to provide demand response (DR) to help discipline wholesale electricity markets. Proposals at the retail level range from eliminating fixed rate tariffs as the default service for some or all customer groups to reinstituting utility-sponsored load management programs with market-based inducements to curtail. Alternative rate designs include time-of-use (TOU), day-ahead real-time pricing (RTP), critical peak pricing, and even pricing usage at real-time market balancing prices. Some Independent System Operators (ISOs) have implemented their own DR programs whereby load curtailment capabilities are treated as a system resource and are paid an equivalent value. The resulting load reductions from these tariffs and programs provide a variety of benefits, including limiting the ability of suppliers to increase spot and long-term market-clearing prices above competitive levels (Neenan et al., 2002; Boren stein, 2002; Ruff, 2002). Unfortunately, there is little information in the public domain to characterize and quantify how customers actually respond to these alternative dynamic pricing schemes. A few empirical studies of large customer RTP response have shown modest results for most customers, with a few very price-responsive customers providing most of the aggregate response (Herriges et al., 1993; Schwarz et al., 2002). However, these studies examined response to voluntary, two-part RTP programs implemented by utilities in states without retail competition.1 Furthermore, the researchers had limited information on customer characteristics so they were unable to identify the drivers to price response. In the absence of a compelling characterization of why customers join RTP programs and how they respond to prices, many initiatives to modernize retail electricity rates seem to be stymied.

Goldman, C.; Hopper, N.; Sezgen, O.; Moezzi, M.; Bharvirkar, R.; Neenan, B.; Boisvert, R.; Cappers, P.; Pratt, D.

2004-07-01T23:59:59.000Z

330

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

E-Print Network (OSTI)

35 Panel B: Hourly real-time prices Mean change std. dev.of the e?ciency gains of real-time price variation could beof the customers pay real-time prices, i.e. , retail prices

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

331

Empirical Analysis of the Spot Market Implications of Price-Responsive Demand  

E-Print Network (OSTI)

used to adjust the real-time price perceived by end-useare exposed to real-time electricity prices, they can adjustof real-time pricing (RTP) on the equilibrium spot price and

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2008-01-01T23:59:59.000Z

332

Empirical analysis of the spot market implications of price-elastic demand  

E-Print Network (OSTI)

used to adjust the real-time price perceived by end-useare exposed to real-time electricity prices, then they canof real-time pricing on the equilibrium spot price and

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2004-01-01T23:59:59.000Z

333

Estimating the Customer-Level Demand for Electricity Under Real-Time Market Prices  

E-Print Network (OSTI)

This paper presents estimates of the customer-level demand for electricity by industrial and commercial customers purchasing electricity according to the half-hourly energy prices from the England and Wales (E&W) electricity market. These customers also face the possibility of a demand charge on its electricity consumption during the three half-hour periods that are coincident with E&W system peaks. Although energy charges are largely known by 4 PM the day prior to consumption, a fraction of the energy charge and the identity of the half-hour periods when demand charges occur are only known with certainty ex post of consumption. Four years of data from a Regional Electricity Company (REC) in the United Kingdom is used to quantify the half-hourly customer-level demands under this real-time pricing program. The econometric model developed and estimated here quantifies the extent of intertemporal substitution in electricity consumption across pricing periods within the day due to changes ...

Robert H. Patrick; Frank A. Wolak

1997-01-01T23:59:59.000Z

334

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

a reduction in U.S. natural gas consumption, ranging fromhigh gas demand on U.S. natural gas consumption and price inU.S. wellhead price of natural gas and total gas consumption

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

335

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

1% reduction in U.S. natural gas demand could lead to long-and EE deployment on natural gas demand and wellhead prices,from a reduction in natural gas demand and prices. Supply

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

336

The importance of vehicle costs, fuel prices, and fuel efficiency to HEV market success.  

DOE Green Energy (OSTI)

Toyota's introduction of a hybrid electric vehicle (HEV) named ''Prius'' in Japan and Honda's proposed introduction of an HEV in the United States have generated considerable interest in the long-term viability of such fuel-efficient vehicles. A performance and cost projection model developed entirely at Argonne National Laboratory (ANL) is used here to estimate costs. ANL staff developed fuel economy estimates by extending conventional vehicle (CV) modeling done primarily under the National Cooperative Highway Research Program. Together, these estimates are employed to analyze dollar costs vs. benefits of two of many possible HEV technologies. We project incremental costs and fuel savings for a Prius-type low-performance hybrid (14.3 seconds zero to 60 mph acceleration, 260 time) and a higher-performance ''mild'' hybrid vehicle, or MHV (11 seconds 260 time). Each HEV is compared to a U.S. Toyota Corolla with automatic transmission (11 seconds 260 time). The base incremental retail price range, projected a decade hence, is $3,200-$3,750, before considering battery replacement cost. Historical data are analyzed to evaluate the effect of fuel price on consumer preferences for vehicle fuel economy, performance, and size. The relationship between fuel price, the level of change in fuel price, and consumer attitude toward higher fuel efficiency is also evaluated. A recent survey on the value of higher fuel efficiency is presented and U.S. commercial viability of the hybrids is evaluated using discount rates of 2090 and 870. Our analysis, with our current HEV cost estimates and current fuel savings estimates, implies that the U.S. market for such HEVS would be quite limited.

Santini, D. J.; Patterson, P. D.; Vyas, A. D.

1999-12-08T23:59:59.000Z

337

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

U.S. Energy Information Administration (EIA)

3.75: 3.75: 3.75: 3.50: 1990's: 1.57: 1.32: 1.56: 1.57: 1.49: 1.70: 1.56: 1.70-= No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid ...

338

Electricity Price Formation -- Lessons from the Western U.S.: Report Series on Fuel and Power Market Integration  

Science Conference Proceedings (OSTI)

The Western United States is a laboratory for observing the operation of competitive wholesale power markets. Combining a review of the fuel and power infrastructure with observations on market behavior and contractual practices, this report provides evidence of growing interdependence of fuel and power prices. This relationship is expected to strengthen and become more volatile as the fuel and power industries move toward ever higher levels of capacity utilization.

1997-08-19T23:59:59.000Z

339

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

340

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

E-Print Network (OSTI)

Agency. IEA, 2009, Energy prices and taxes, Working paper,to high and volatile energy prices. Most economists wouldIndeed, if and when U.S. energy prices do rise, the economic

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

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

On the stability of wholesale electricity markets under real-time pricing  

E-Print Network (OSTI)

The paper proposes a mathematical model for the dynamic evolution of supply, demand, and clearing prices under a class of real-time pricing mechanisms characterized by passing on the real-time wholesale prices to the end ...

Roozbehani, Mardavij

342

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

E-Print Network (OSTI)

Response to Electricity Real-Time Prices: Short Run and LongResponse to Electricity Real-Time Prices: Short Run and LongResponse to Real Time Electricity Prices, Unpublished

2005-01-01T23:59:59.000Z

343

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

E-Print Network (OSTI)

and compute the near natural gas price as the Henry Hubin the level of Henry Hub natural gas prices do not have aexpectations that natural gas prices are expected to rise

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

344

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

index.html. Appendix A.1 Natural Gas Price Data for FuturesError STEO Error A.1 Natural Gas Price Data for Futuresof forecasts for natural gas prices as reported by the

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

345

Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market  

E-Print Network (OSTI)

theory, I use a panel of gas station prices to estimate thetheory, I use a panel of gas station prices to estimate thecost. Using a panel of gas station prices, I estimate an

Lewis, Matt

2004-01-01T23:59:59.000Z

346

Strictly Speaking, the Law of One Price Works in Commodity Markets  

E-Print Network (OSTI)

teststo rejectthe law of one price when in fact it holds.G l . Keywords: law of one price, exchange rates,half livesequation 4 with wheat prices between the U.S. and Japan. All

Pippenger, John

2007-01-01T23:59:59.000Z

347

Some Pitfalls in Testing the Law of One Price in Commodity Markets  

E-Print Network (OSTI)

2000, Should the Law of One Price be Pushed Away? EvidenceJanet, 1994, The Law of One Price Revisited: New Evidence onBehavior of International Prices, Economic Inquiry, Vol. 32,

Phillips, Llad; Pippenger, John

2005-01-01T23:59:59.000Z

348

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

E-Print Network (OSTI)

of-Use Prices and Electricity Demand: Allowing for Selectionthe theory of customer electricity demand and the specificfor in evaluating electricity demand and price response. Hot

2005-01-01T23:59:59.000Z

349

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

the forecast. In 1978 the Natural Gas Policy Act was passedof Other Natural Gas Price Forecasts Researchers and policyresearchers and policy makers who utilize natural gas prices

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

350

Stock market volatility and price discovery : three essays on the effect of macroeconomic information  

E-Print Network (OSTI)

of Macro Announcements: Real Time Price Discovery in Foreign93, 38–62. (2005): “Real Time Price Discovery in Stock, Bond

Rangel, Jose Gonzalo

2006-01-01T23:59:59.000Z

351

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

352

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

E-Print Network (OSTI)

Run E?ects of Real-Time Electricity Pricing,” CSEM WP-133 (Severin. “Time-Varying Retail Electricity Prices: Theoryand Practice,” Electricity Restructuring: Choices and

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

353

Dynamic filter weights neural network model integrated with differential evolution for day-ahead price forecasting in energy market  

Science Conference Proceedings (OSTI)

In this paper a new dynamic model for forecasting electricity prices from 1 to 24h in advance is proposed. The model is a dynamic filter weight Adaline using a sliding mode weight adaptation technique. The filter weights for this neuron constitute of ... Keywords: Differential evolution, Dynamic filter weights neuron, Energy market, Local linear wavelet neural network, Sliding mode control

S. Chakravarty; P. K. Dash

2011-09-01T23:59:59.000Z

354

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

All U.S. energy markets including exports and imports U.S.Energy Markets All U.S. energy markets including imports andenergy markets All U.S. energy markets including imports and

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

355

Why we need to stick with uniform-price auctions in electricity markets  

Science Conference Proceedings (OSTI)

Arguments that the uniform-price auction yields electricity prices that are systematically too high are incorrect. Tampering with the spot price would cause inefficiency and raise long-term costs. The proper way to dampen the impact of spot price fluctuations is with long-term hedging. (author)

Cramton, Peter; Stoft, Steven

2007-01-15T23:59:59.000Z

356

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

357

U.S. Distillate Market  

Gasoline and Diesel Fuel Update (EIA)

Market Regional Residential Heating Oil Prices Retail Diesel Fuel Oil Prices Crude Oil Price Cycles Spot Distillate & Crude Oil Prices.(Prices through March 3, 2000) Low...

358

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

E-Print Network (OSTI)

New Jersey and Maryland (PJM) electricity market. Consistentelectricity market known as PJM by constructing a simulationWe apply the model to the PJM electricity market, which

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

359

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

360

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

National Laboratory Canadian Energy Research Institute U.S.Administration Energy Markets All U.S. energy marketsAll Canadian and U.S. energy markets All U.S. energy markets

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

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.


361

Spot Distillate & Crude Oil Prices  

U.S. Energy Information Administration (EIA)

Retail distillate prices follow the spot distillate markets, and crude oil prices have been the main driver behind distillate spot price increases until recently.

362

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

the accuracy of two methods to forecast natural gas prices:forecasting models along with the AEO forecast. Appendix ATable 1. Forecast Year AEO Predicted Price from 1996-2003

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-01-01T23:59:59.000Z

363

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

Dynamic Pricing and Smart Grid. Lawrence Berkeley Nationaland Technology's (NIST) Smart Grid Standards developmentcertification program. The Smart Grid Architectural Council

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

364

Auction Basics for Wholesale Power Markets:Auction Basics for Wholesale Power Markets: Objectives and Pricing RulesObjectives and Pricing Rules  

E-Print Network (OSTI)

" "maximum willingness to pay" is also called a "(buyer) reservation value." #12;8 Buyer 2 Demand Bid: P (Inverse) Demand Function:Total System (Inverse) Demand Function: P=D(Q)P=D(Q) P 0 90 10 30 50 70 Maximum OutlinePresentation Outline Introduction Double auction basics for power markets Supply, demand, & market

Tesfatsion, Leigh

365

HOUSES!an independent view of the property market Prices Affordability Lending Activity Supply The Economy  

E-Print Network (OSTI)

recent European house price trends: An absence of continental drift? School of Architecture, Design and the Built Environment #12;Contents 03 Editorial ­ Dean Garratt Comparing recent European house price trends and editorial focus is: ·European House Price Trends ·Economic Growth We'll also cover national

Evans, Paul

366

Limiting currency volatility to stimulate goods market integration: a price based approach. NBER Working Paper No. 8468  

E-Print Network (OSTI)

This paper studies the effect of instrumental and institutional stabilization of exchange rate volatility on the integration of goods markets. Rather than using data on volume of trade, this paper employs a 3-dimensional panel of prices of 95 very disaggregated goods (e.g., light bulbs) in 83 cities around the world during 1990-2000. We find that the impact of an institutional stabilization – currency board or dollarization – promotes market integration far beyond an instrumental stabilization. Among them, long-term currency unions are more effective than more recent currency boards. All have room to improve relative to a U.S. benchmark.

David C. Parsley; Shang-jin Wei

2001-01-01T23:59:59.000Z

367

www.analysisgroup.com Uniform-Pricing versus Pay-as-Bid in Wholesale Electricity Markets: Does it Make a Difference? 1  

E-Print Network (OSTI)

Electricity prices have been rising. Over the last decade, average electricity prices in the U.S. have increased by one-third. 2 These price increases coincide with policy changes in many parts of the country that introduced greater reliance on market forces into the electric industry. Although today’s electricity prices are still relatively low in historical terms (about two-thirds of their 1980s levels when adjusted for inflation 3) and rising electricity prices have been largely the result of movements in global markets for fossil fuels, these price increases have nonetheless placed pressure on policy makers in a number of recently restructured electricity markets to question whether power prices have increased due to the design of competitive markets. Some observers have begun to push for redesign of market rules or even a return to elements of traditional cost-of-service regulation in the electric industry. 4 Among the proposed reforms are changes to the design of auction processes used in various wholesale electricity markets. These auctions involve offers to supply power, and, potentially, bids to buy power. The auction determines the identity of the “winners”

Susan F. Tierney, Ph.D.; Todd Schatzki Ph. D; Rana Mukerji; Susan Tierney, Ph.D.; Todd Schatzki, Ph.D.; Rana Mukerji

2008-01-01T23:59:59.000Z

368

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

369

Time series analysis of the lead-lag relationship of freight futures and spot market prices  

E-Print Network (OSTI)

This thesis analyzes the relationship between the physical and paper shipping markets. The main objective is to find if one market leads the other by a specific time period so that market players can take advantage from ...

Gavriilidis, Nikolaos

2008-01-01T23:59:59.000Z

370

The Effect of Price Information in e-Market on Consumers¡¦ Intentions to Join Group Buying.  

E-Print Network (OSTI)

??Usually, consumers will collect market information about the product before they decide to buy it or not. In other words, the market information is a… (more)

Yang, Chen-Yuan

2005-01-01T23:59:59.000Z

371

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

and imports U.S. electricity and gas markets includingrepresentation of electricity and natural gas markets,initially to conduct electricity restructuring analysis in

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

372

Information, Alternative Markets, and Security Price Processes: A Survey of Literature  

E-Print Network (OSTI)

In this paper, we survey a wide range of theoretical and empirical papers on derivatives markets to address the information contents of trading activities in derivatives markets. Both theoretical and empirical research on options market and futures market indicate that the presence of alternative markets may be a factor for informed traders ’ presence in one of or in both markets to trade on their information. One group of researchers support the hypothesis that information reflects in derivatives market first and underlying stock market lags in information transmission. Another group of researchers support the hypothesis that information reflects in stock markets first and trading activities in derivatives markets are not significant. Since researchers are not in agreement in this issue, it raises a potential for further research on different activities of derivatives market.

Rafiqul Bhuyan

2002-01-01T23:59:59.000Z

373

Beyond the Hype of Frictionless Markets: Evidence of Heterogeneity in Price Rigidity on the Internet  

Science Conference Proceedings (OSTI)

We explore daily patterns of Internet pricing for the two major retailers, Amazon.com and Barnes and Noble (BN), using data on 377 books collected over a 449-day period in 2003-4. We frame this investigation in terms of a key question: How rigid are ... Keywords: Bookselling, E-Commerce, Economic Analysis, Empirical Regularities, Empirical Research, Internet Retailing, Price Rigidity, Strategic Pricing

Mark E. Bergen; Robert J. Kauffman; Dongwon Lee

2005-11-01T23:59:59.000Z

374

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

E-Print Network (OSTI)

York (several hubs), Ontario, PJM, MISO, ERCOT South, Intocontract delivering into the PJM Western hub. Assuming thatpeak real-time prices posted by PJM Interconnection, LLC, on

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

375

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

E-Print Network (OSTI)

York (several hubs), Ontario, PJM, MISO, ERCOT South, Intocontract delivering into the PJM Western hub. Assuming thatpeak real-time prices posted by PJM Interconnection, LLC, on

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

2010-01-01T23:59:59.000Z

376

Effects of futures market manipulation on crude oil prices: An empirical examination.  

E-Print Network (OSTI)

??Crude oil prices moved irregularly in the period leading to the financial meltdown in the beginning of 2008. This research paper deals with the explaining… (more)

Elhelou, Rami

2011-01-01T23:59:59.000Z

377

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

E-Print Network (OSTI)

facilities that receive electricity service from Niagaraperiods is your facility’s electricity use highest? ( CHECKthe next day’s hourly electricity prices? ( CHECK ONLY ONE )

2005-01-01T23:59:59.000Z

378

Price discovery and information linkages in the emission allowance and energy markets .  

E-Print Network (OSTI)

??We provide the first evidence on the catalysts for price discovery in the European Union Emissions Trading System. Short-run return dynamics are analysed using a… (more)

Swieringa, John Edward

2013-01-01T23:59:59.000Z

379

Optimal Spot Market Inventory Strategies in the Presence of Cost and Price Risk  

E-Print Network (OSTI)

1966. A Continous Time Inventory Model. Jounal of Applied4] Berling, P. Holding Inventory with Stochastically Mean-6] Chaouc, B . 2006. Inventory Control and Periodic Price

Guo, Xin; Kaminsky, Philip; Tomecek, Pascal; Yuen, M.

2007-01-01T23:59:59.000Z

380

Cournot Equilibrium in Price-capped Two-Settlement Electricity Markets  

E-Print Network (OSTI)

-term Contracts and Imperfectly Competitive Spot Markets: A Study of UK Eletricity Industry, Memorandum no. 14

Oren, Shmuel S.

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

Cournot Equilibrium in Price-capped Two-Settlement Electricity Markets  

E-Print Network (OSTI)

Competitive Spot Markets: A Study of UK Eletricity Industry, Memorandum no. 14, Department of Economics

382

Impact of market structure and political instability on the official price of OPEC crude (1972-83)  

SciTech Connect

Within the empirical literature, political instability was either completely ignored or the assumption was made that its impact was significant. One of the major objectives of this study is to determine whether political instability had a significant impact on the oil market during the 1972-83 period. Secondly, there were very important changes that took place within the market - considerable reduction in the non-communist world's oil consumption, increase in production outside OPEC, reduced OPEC market share and capacity use, increased sale of oil directly by OPEC rather than through the oil multinationals, and nationalization of the asset of the latter within OPEC. Within the empirical literature some attention has been paid to the first four changes. The last two changes, however, have generally been assumed to be insignificant. Consequently, the second objective is to determine whether the change of the distribution of ownership within and direct marketing by OPEC itself have had a significant impact on the official price of OPEC crude. The third objective is improved specification of past models of the world oil market through consideration of the influences mentioned above. Results of the study show that political instability, contrary to popular opinion, did not have a significant impact on the market during the 1972-83 period.

Kendall, P.

1987-01-01T23:59:59.000Z

383

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network (OSTI)

and the methods which have been proposed to handle them in spot and forward price models. We devote special sources, the main production process remains the conversion of fossil fuels like coal, gas and oil. Since and nuclear production as these plants are hardly ever setting the price. In other words, since electricity

Carmona, Rene

384

Deregulating Residential Electricity Markets: What's on Offer? Catherine Waddams Price1  

E-Print Network (OSTI)

incentives such as time-varying electricity tariff (e.g. spot pricing [1]), or CO2 footprint. Electricity tariff (spot price) for New York City on February 15th, 2011. Data taken from NYISO. The web-varying electricity tariff in the management of the power grid, especially in the reduction of peak power con

Feigon, Brooke

385

Another Bull Market Consolidation or Have Oil Prices Headed South for the Winter?  

Reports and Publications (EIA)

This presentation was given at the New York Energy Forum on September 5, 2006. It explores the reasons behind rising oil prices over the last few years and discusses whether the drop in oil prices seen in late August and early September 2005 is the start of a long-running trend or is only a temporary decline.

Information Center

2006-09-12T23:59:59.000Z

386

3 MICROSIMULATING AUTOMOBILE MARKETS: 4 EVOLUTION OF VEHICLE HOLDINGS AND VEHICLE-PRICING DYNAMICS  

E-Print Network (OSTI)

. This work combines an auction-style 33 microsimulation of vehicle prices and random-utility vehicles and the infrastructure they use, directly and peripherally. To understand and anticipate 46 travel to vehicle aging. This paper60 makes explicit the role of user preferences in vehicle price fluctuations

Kockelman, Kara M.

387

Utah Natural Gas Wellhead Value and Marketed Production  

U.S. Energy Information Administration (EIA)

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

388

Kansas Imputed Wellhead Value of Marketed Production (Cost)  

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

984,630 1,366,444 1,406,269 1,026,875 0 2000's 0 0 1,186,968 1,814,834 1,961,478 2,456,222 2,081,990 2,081,867 2,565,413 1,119,306 2010's 1,372,159 - No Data Reported; -- ...

389

Colorado Natural Gas Wellhead Value and Marketed Production  

U.S. Energy Information Administration (EIA)

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

390

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

391

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Market and STEO Error Forecast Error from 1998 to 2003 (2 Futures Market and STEO Error Forecast Error from 1998to 2003 (Months 13- Forecast from 1998 to 2003 (Months 1-12)

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

392

Measuring oil-price shocks using market-based information’, Federal Reserve Bank of San Francisco Working Paper No  

E-Print Network (OSTI)

This paper takes on a narrative and quantitative approach to examine the dynamic effects of oil-price shocks to the U.S. economy. Based on market information collected from various oil-industry trade journals, we separate different kinds of oilprice shocks, and construct measures of exogenous oil shocks that are free of endogeneity and anticipatory problems. Estimation results indicate that oil shocks have had substantial and statistically significant impacts on the U.S. economy during the past two and a half decades. By contrast, traditional VAR identification strategies lead to a much weaker and insignificant real effect for the same period. Further investigation suggests that this discrepancy is possibly due to a lack of identification on the VAR approach, originating from mixing the exogenous oil-supply shocks with endogenous oil-price movements driven by changes in oil demand.

Tao Wu; Michele Cavallo

2006-01-01T23:59:59.000Z

393

The effect of falling market concentration on prices, generator behaviour and productive efficiency in the England and Wales electricity market  

E-Print Network (OSTI)

A universal prediction of the various oligopoly models used to predict and explain behaviour in the England and Wales (E&W) electricity wholesale market is that divestiture of plants by the two large incumbent generators ...

Sweeting, Andrew

2001-01-01T23:59:59.000Z

394

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

395

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

396

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

397

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

E-Print Network (OSTI)

Source: EPA’s CEMS. Electricity Load Distribution 2.0e-04 NoLoad Figure 2a: Electricity load distribution (in MWh) withreal-time pricing Electricity Load Distribution 2.0e-04 All

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

398

Geothermal Energy Market Study on the Atlantic Coastal Plain. A Review of Recent Energy Price Projections for Traditional Space Heating Fuel 1985-2000  

DOE Green Energy (OSTI)

In order to develop an initial estimate of the potential competitiveness of low temperature (45 degrees C to 100 degrees C) geothermal resources on the Eastern Coastal Plain, the Center for Metropolitant Planning and Research of The Johns Hopkins University reviewed and compared available energy price projections. Series of projections covering the post-1985 period have been made by the Energy Information Administration, Brookhaven National Laboratory, and by private research firms. Since low temperature geothermal energy will compete primarily for the space and process heating markets currently held by petroleum, natural gas, and electricity, projected trends in the real prices for these fuels were examined. The spread in the current and in projected future prices for these fuels, which often serve identical end uses, underscores the influence of specific attributes for each type of fuel, such as cleanliness, security of supply, and governmental regulation. Geothermal energy possesses several important attributes in common with electricity (e.g., ease of maintenance and perceived security of supply), and thus the price of electric space heating is likely to be an upper bound on a competitive price for geothermal energy. Competitiveness would, of course, be increased if geothermal heat could be delivered for prices closer to those for oil and natural gas. The projections reviewed suggest that oil and gas prices will rise significantly in real terms over the next few decades, while electricity prices are projected to be more stable. Electricity prices will, however, remain above those for the other two fuels. The significance of this work rests on the fact that, in market economies, prices provide the fundamental signals needed for efficient resource allocation. Although market prices often fail to fully account for factors such as environmental impacts and long-term scarcity value, they nevertheless embody a considerable amount of information and are the primary guideposts for suppliers and consumers.

Weissbrod, Richard; Barron, William

1979-03-01T23:59:59.000Z

399

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

investment, behaviour, energy price, consumers Abstract “suggest that raising energy prices—such as in the form ofconsumers actually “see” energy prices and are therefore

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

400

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

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

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

402

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

403

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

404

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

405

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

406

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

407

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

408

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

409

A Tool For Assessing Contamination Risk in Wellhead Protection Areas  

Science Conference Proceedings (OSTI)

Facility siting and operation restrictions aimed at groundwater protection can potentially affect a wide range of industrial activities located in or near designated Wellhead Protection Areas (WHPAs). This study provides a simple tool -- EPRI's Health Standard Exceedance (HSE) index -- for assessing the potential groundwater contamination risk associated with organic compounds in a WHPA.

2000-11-29T23:59:59.000Z

410

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

411

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

412

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

413

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

information about natural gas supply and demand. As amarket Calibrating natural gas supply and demand conditionsnation-wide natural gas market, equalizing supply with

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

414

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

coal supply. The natural gas supply covers six categories:renewables, oil supply, natural gas supply, natural gasnation-wide natural gas market, equalizing supply with

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-01-01T23:59:59.000Z

415

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

Advanced Metering, and Demand Response in Electricity2006. Benefits of Demand Response in Electricity Markets and2010. Open Automated Demand Response Technologies for

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

416

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

about natural gas supply and demand. As a result, someCalibrating natural gas supply and demand conditions withelectricity and natural gas markets, demand-side management

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

417

Determining the effects on residential electricity prices and carbon emissions of electricity market restructuring in Alberta.  

E-Print Network (OSTI)

??When electricity restructuring initiatives were introduced in Alberta, and finalized with the institution of retail electricity market competition in 2001, it was argued that the… (more)

Jahangir, Junaid Bin

2011-01-01T23:59:59.000Z

418

Entry into the Swedish Wholesale Electricity Market and the Electricity Price.  

E-Print Network (OSTI)

?? The aim of this paper is to analyze the strategic behavior of the leading firms on the Swedish wholesale electricity market. This thesis wishes… (more)

Bhatia, Martina

2010-01-01T23:59:59.000Z

419

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

420

Optimal spot market inventory strategies in the presence of cost and price risk  

E-Print Network (OSTI)

Optimal spot market inventory strategies in the presence ofeither increase or decrease inventory by buying or sellingof actively managing inventory during the period rather than

Guo, X.; Kaminsky, P.; Tomecek, P.; Yuen, M.

2011-01-01T23:59:59.000Z

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.


421

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

422

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

423

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

424

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

425

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

426

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

427

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

428

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

429

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

430

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

431

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

432

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

433

On martingale measures and pricing for continuous bond-stock market with stochastic bond  

E-Print Network (OSTI)

This paper studies pricing of stock options for the case when the evolution of the risk-free assets or bond is stochastic. We show that, in the typical scenario, the martingale measure is not unique, that there are non-replicable claims, and that the martingale prices can vary significantly; for instance, for a European put option, any positive real number is a martingale price for some martingale measure. In addition, the second moment of the hedging error for a strategy calculated via a given martingale measure can take any arbitrary positive value under some equivalent measure. Some reasonable choices of martingale measures are suggested, including a measure that ensures local risk minimizing hedging strategy.

Dokuchaev, Nikolai

2011-01-01T23:59:59.000Z

434

Spoilt for Choice? The Costs and Benefits of Opening UK Residential Markets  

E-Print Network (OSTI)

Residential Energy Markets Catherine Waddams Price, CentreResidential Energy Markets Catherine Waddams Price * Centre

Waddams Price, Catherine

2004-01-01T23:59:59.000Z

435

An overview of alternative fossil fuel price and carbon regulation scenarios  

E-Print Network (OSTI)

reaction of energy markets to higher fuel prices. Combinedreaction of energy markets to higher fuel prices. Other Highin spot market prices (note California Energy Commission.

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

436

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

E-Print Network (OSTI)

Yes prices per square foot indicating that the cost effectper square foot and more variance in precipitation has a statistically significant positive effect on operating costsper square foot of office buildings that sold in arm-length-transactions between 2001 and 2010 on energy costs,

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

437

CPI anticipates price benefits in an open electricity market - but utilities `will erect roadblocks`  

SciTech Connect

Chemical manufacturers and industrial gas firms welcome the coming deregulation of electricity because the change offers them competitive choice in power supplies. They anticipate price benefits like those that have flowed from natural gas deregulation, which feed from manufacturers to bypass local utilities and shop for their own fuel supplies.

Pospisil, R.

1994-11-23T23:59:59.000Z

438

A Survey of Utility Experience with Real Time Pricing  

E-Print Network (OSTI)

than the RTP energy price, volatile market prices provide noof the market price for financially firm energy (quoted aof energy that could be purchased at market prices that were

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2004-01-01T23:59:59.000Z

439

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

2003). Balancing Natural Gas Policy - Fueling the Demands ofThis lead to the Natural Gas Policy Act (NGPA) in 1978 whichnatural gas markets, demand-side management programs, development of renewable sources, and environmental policies. ”

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-01-01T23:59:59.000Z

440

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

1 1.1 History of Natural Gaspdf/table13.pdf> History of Natural Gas Regulation TheUnderstanding the history of the natural gas market helps to

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-01-01T23:59:59.000Z

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

Video market data for calves and yearlings confirms price discounts for Western cattle  

E-Print Network (OSTI)

RESEARCH Article t Video market data for calves andWe used 11 years of data from video auction sales across thesales information from video auctions because they operate

Blank, Steven; Forero, Larry C.; Nader, Glenn A.

2009-01-01T23:59:59.000Z

442

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

and Demand Response in Electricity Markets." University ofRates and Tariffs /Schedule for Electricity Service, P.S.C.no. 10- Electricity/Rules 24 (Riders)/Leaf No. 177-327."

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

443

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

is on the rise, natural gas demand is expected to grow 2.4%has resulted in higher natural gas demand and volatility andelectricity and natural gas markets, demand-side management

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-01-01T23:59:59.000Z

444

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Update on Petroleum, Natural Gas, Heating Oil and Gasoline.of the Market for Natural Gas Futures. Energy Journal 16 (Modeling Forum. 2003. Natural Gas, Fuel Diversity and North

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

445

Price Determination of Electricity in a Competitive Environment: Reaching Profitable Electricity Customers with Market Power  

Science Conference Proceedings (OSTI)

This report studies and develops techniques for profitable generation company operation in the competitive /deregulated environment. Specifically it investigates how market power can be used to reach the high-profit segment of the customer-base. The first part of the report is primarily concerned with methods and theory. The competitive market framework assumed for this research is presented. The basic auctions used, and the optimization techniques used to implement them, are explained. Extensions to the...

2000-06-08T23:59:59.000Z

446

What are the different coal prices published by EIA? - FAQ - U ...  

U.S. Energy Information Administration (EIA)

What are the different coal prices published by EIA? EIA publishes various coal prices including futures prices, mine prices, captive and open market sales prices ...

447

What are the different coal prices published by EIA? - FAQ - U.S ...  

U.S. Energy Information Administration (EIA)

What are the different coal prices published by EIA? EIA publishes various coal prices including futures prices, mine prices, captive and open market sales prices ...

448

Recent market activities of major interstate pipeline companies  

Science Conference Proceedings (OSTI)

In addition to analyzing trends in wellhead purchases over the past year, this study also presents information and analysis of natural gas purchases from other pipeline companies, and sales to several types of customers. Activities of 20 major interstate pipeline companies were analysed in response to market developments over the past 4 years and over the past year in particular. This study includes an analysis of trends in natural gas sales and of the effects of increasing prices since 1979. It includes separate analyses of direct industrial sales, sales to major pipeline companies, and other sales for resale, as well as analyses of the volumes transported for sale to others. It also reports on purchase patterns in general since 1979 and on purchase projection patterns for particular types of gas since 1981. The differing behavior of pipeline companies in purchasing high-cost gas in the current market is also analyzed. (PSB)

Not Available

1984-01-01T23:59:59.000Z

449

Riser gas eliminators reduce wellhead pressures on offshore satellite platforms  

Science Conference Proceedings (OSTI)

Riser gas eliminators installed on the liquid export risers of five Gulf of Mexico platforms have significantly reduced wellhead pressure by releasing trapped gas. Wellhead pressures on the platforms have been reduced an average of 50 psi. The gas eliminators have been installed on lines in which the oil has undergone primary separation (gas/liquid) only and is being transported to another platform with separator pressure. Gas eliminators should be effective on other liquid lines in water depths of 50 ft or more, especially those with low velocities. The riser gas eliminator is an inverted steam trap installed at the top of the riser. The inverted steam trap has an internal float that allows the gas to vent through an orifice. The vented gas can be used for fuel supply or routed through the vent system.

Conner, S.L.

1994-03-01T23:59:59.000Z

450

The Role of Demand Response in Default Service Pricing  

E-Print Network (OSTI)

day-ahead energy market, which publishes hourly prices by 4:energy market, to which customers can refer to estimate real time market prices.energy market provide customers with a more compelling incentive for price

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

451

Modular Wellhead Binary Power System: Preliminary Design Results  

Science Conference Proceedings (OSTI)

To provide the utility industry with effective and flexible binary-cycle power plants, preliminary engineering analyses were conducted on a standardized design being developed for a modular wellhead binary-cycle power system. This design will use heat sources, such as geothermal or waste heat, in the 300-450 degrees F temperature range and will meet utility requirements for small geothermal resource capacity needs.

1990-09-13T23:59:59.000Z

452

Transmission Price Risk Management  

Science Conference Proceedings (OSTI)

This report is concerned with the financial risks that arise from the uncertain price of transmission service in restructured or competitive electricity markets. These risks are most severe in markets with locational pricing (LMP), but they also exist in more traditionally organized electricity markets. This report has two main purposes. The first is to review the existing mathematical models of electricity price formation in spot and forward markets that may be helpful as the foundations for developing ...

2006-12-04T23:59:59.000Z

453

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

454

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

455

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

456

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:

457

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

458

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

E-Print Network (OSTI)

Response to Electricity Real-Time Prices: Short Run and LongElectricity Usage to Real Time Prices A-31 v List ofwere linked to real-time prices, most customers indicated

2004-01-01T23:59:59.000Z

459

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

E-Print Network (OSTI)

of the monthly electricity bill), (3) the pricing methodof the monthly SC-3A electricity bill (@ X%) Hedge PricePrice @ Cost (as % of electricity bill) Covered Hours: Hedge

2004-01-01T23:59:59.000Z

460

Changes in energy markets reduce regional effects of energy price movements  

Science Conference Proceedings (OSTI)

Changes in energy prices are having more equal effects on the residents of different regions than previously as consumption patterns adjust to natural gas deregulation and higher energy costs. Regions with a higher proportion of energy use, such as New England, have dropped their per capita consumption rates and have changed their mix of fuels. The extent of fuel switching becomes more apparent if electricity consumption is apportioned to the fuel used to generate power. Comparisons between the New England, East North Central, and West North Central regions show a decline in oil consumption for each and an increase in electricity use. 2 figures.

Schmidt, R.H.; Dunstan, R.H.

1985-04-01T23:59:59.000Z

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.


461

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

462

Light-Heavy Price Difference Varies  

U.S. Energy Information Administration (EIA)

Light-Heavy Price Difference Varies ; Function of Crude Market Factors ; Function of Conversion Capacity ; Function of Product Market Factors

463

Gasoline Prices  

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

Gasoline Prices Gasoline Price Data Sign showing gasoline prices Local Prices: Find the cheapest gasoline prices in your area. State & Metro Area Prices: Average prices from AAA's...

464

Use of Incremental Pricing in Coal Supply and Transportation Agreements to Achieve Power Sales: Report Series of Fuel and Power Market Integration  

Science Conference Proceedings (OSTI)

Increased power market competition is transforming into increased fuel supply competition. This report examines the role that "incremental pricing" for coal supply and transportation services plays in permitting power generators to achieve greater power sales. Surprisingly, the outlook for using such mechanisms for this purpose is more restricted than one might expect.

1997-11-26T23:59:59.000Z

465

C:\\ANNUAL\\Vol2chps.v8\\ANNUAL2.VP  

Annual Energy Outlook 2012 (EIA)

... 0.19 48 9 State Average Wellhead Price (dollars per thousand cubic feet) Marketed Production (million cubic feet) Imputed...

466

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

467

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

468

Diagnosing Unilateral Market Power in Electricity Reserves Market  

E-Print Network (OSTI)

Sep Figure 6: Energy market clearing prices CALPX $/MW $/MWbelow or above the price of the energy market that they mayreal-time energy) markets were subject to a price cap of $

Knittel, Christopher R; Metaxoglou, Konstantinos

2008-01-01T23:59:59.000Z

469

Reliability and Competitive Electricity Markets  

E-Print Network (OSTI)

as energy is dispatched only when the market price exceedsof energy sold in the wholesale spot market: • The price-energy dispatched through the market and a second higher price

Joskow, Paul; Tirole, Jean

2004-01-01T23:59:59.000Z

470

Using EPECs to model bilevel games in restructured electricity markets with locational prices  

E-Print Network (OSTI)

different generation costs. This is a weakening of a more typical assumption that generation costs are symmetric, e.g. Green and Newbery (1992), Klemperer and Meyer (1989). Here some generators may be out of the market, unlike Proposition 5. Using symmetric... formulation. Applying PATH to the CP formulation of an EPEC is suggested by the success that some stan- dard NLP methods have had in solving MPECs written as NLPs (like (12)). The sequential quadratic programming method has proven to be especially effective...

Hu, Xinmin; Ralph, Daniel

2006-03-14T23:59:59.000Z

471

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

1991) The Issue of Domestic Energy Market Failure. Canberra,information in energy service markets – leading to problemsis a goal of many market-oriented energy policies. However,

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

472

PRICE SPECULATION  

E-Print Network (OSTI)

The price of crude oil in the U.S. had never exceeded $40 per barrel until mid-2004. By 2006 it reached $70 per barrel, and in July 2008 it reached a peak of $145. By the end of 2008 it had plummeted to about $30 before increasing again, reaching about $110 in 2011. Are “speculators ” to blame for at least part of the volatility and sharp run-ups in price? We clarify the potential and actual effects of speculators, and investors in general, on commodity prices. We focus on crude oil, but our approach can be applied to other commodities. We first address the question of what is meant by “oil price speculation, ” and how it relates to investments in oil reserves, oil inventories, or oil price derivatives (such as futures contracts). Next we outline the ways in which one could speculate on oil prices. Finally, we turn to the data, and calculate counterfactual prices that would have occurred from 1999 to 2012 in the absence of speculation. Our framework is based on a simple and transparent model of supply and demand in the cash and storage markets for a commodity. It lets us determine whether speculation as the driver of price changes is consistent with the data on production, consumption, inventory changes, and changes in convenience yields given reasonable elasticity assumptions. We show speculation had little, if any, effect on prices and volatility.

Christopher R. Knittel; Robert S. Pindyck; Christopher R. Knittel; Robert S. Pindyck

2013-01-01T23:59:59.000Z

473

Transportation Market Distortions  

E-Print Network (OSTI)

Transport Prices and Markets, Victoria Transport PolicySurvey: Survey Suggests Market-Based Vision of Smart Growth,G. 1996. Roads in a Market Economy, Avebury (Aldershot).

Litman, Todd

2006-01-01T23:59:59.000Z

474

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

475

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

476

HGP-A wellhead generator proof-of-feasibility project  

SciTech Connect

The HGP-A Wellhead Generator Proof-of-Feasibility Project consists of a nominal 3 Megawatt geothermal steam turbine electric power generating facility, the first geothermal power plant in Hawaii. The plant is being constructed as a research and development project to evaluate geothermal steam as a viable resource to be considered for larger commercial electric power generating stations in Hawaii. The project facilities include a turbine building, with a contiguous service area for plant operations and maintenance, visitor center, and the power plant equipment.

1978-11-03T23:59:59.000Z

477

Market Structure and Competition: A Cross-Market Analysis of U.S. Electricity Deregulation  

E-Print Network (OSTI)

energy into the restructured markets behave as price takersEnergy Clearing Price (ECP) for the New England market priceISO at below market prices. nuclear energy sources. Unlike

Bushnell, James; Mansur, Erin T.; Saravia, Celeste

2004-01-01T23:59:59.000Z

478

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

natural gas prices), reversed this long-term trend in 2009gas market. 2010 Wind Technologies Market Report 4. Price, Cost, and Performance Trends

Wiser, Ryan

2012-01-01T23:59:59.000Z

479

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...

480

Crude Oil Prices  

Annual Energy Outlook 2012 (EIA)

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

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

Crude Oil Prices  

Annual Energy Outlook 2012 (EIA)

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

482

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

483

Control instrumentation for wellheads and mud-kill systems. [Indonesia  

SciTech Connect

This paper describes the instrumentation and control systems used on the wellheads and mud-kill systems at the Mobil Oil Arun natural gas field, situated onshore in the province of Aceh, North Sumatra, Indonesia. The reservoir is a carbonate reef containing an estimated 15 Tcf (0.42 X 10/sup 12/ m/sup 3/) gas at approximately 7,000 psig (48 263 kPa) and 360/sup 0/F (182/sup 0/C). The wellstream from the field is separated into natural gas, condensate liquid, and water. The gas and condensate are then shipped through separate pipelines to the Arun liquefied natural gas (LNG) facility at Lho' Seumawe, about 40 mi (25 km) away on the northeastern coast of Sumatra. After liquefaction the LNG is shipped by tanker to Japan. The field was discovered in 1971 and became operational in 1977. The LNG delivery contract complied with the Japanese calls for regular delivery; thus continuity of supply to the LNG plant was of paramount importance for meeting transportation and supply schedules. Two actual blowouts in the Arun field have provided valuable experience in evaluating both equipment and systems in terms of design, reliability, and application for this type of field service. This paper concentrates on the design and installation of the control systems associated with the wellhead and mud-kill systems and highlights the problems encountered during the past five years.

Giles, A.J.

1983-08-01T23:59:59.000Z

484

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

485

Warm weather, low natural gas prices hold down wholesale power ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Northeastern and Midwestern wholesale power prices typically are linked closely to ... raising the spot market prices for ...

486

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

charges. • Wholesale energy market prices are volatile, andCAISO’s Wholesale Energy Market Prices PG&E’s PDP RetailWe used the CAISO wholesale energy market prices for the RTP

Ghatikar, Girish

2010-01-01T23:59:59.000Z

487

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.

488

Real Time Pricing as a Default or Optional Service for C&I Customers: A Comparative Analysis of Eight Case Studies  

E-Print Network (OSTI)

the spot market price of energy in a competitive wholesalethrough” the spot market price of energy for all of theadditional energy at the spot market price. Another example

Barbose, Galen; Goldman, Charles; Bharvirkar, Ranjit; Hopper, Nicole; Ting, Michael; Neenan, Bernie

2005-01-01T23:59:59.000Z

489

Price controls and international petroleum product prices  

SciTech Connect

The effects of Federal refined-product price controls upon the price of motor gasoline in the United States through 1977 are examined. A comparison of domestic and foreign gasoline prices is made, based on the prices of products actually moving in international trade. There is also an effort to ascribe US/foreign market price differentials to identifiable cost factors. Primary emphasis is on price comparisons at the wholesale level, although some retail comparisons are presented. The study also examines the extent to which product price controls are binding, and attempts to estimate what the price of motor gasoline would have been in the absence of controls. The time period under consideration is from 1969 through 1977, with primary focus on price relationships in 1970-1971 (just before US controls) and 1976-1977. The foreign-domestic comparisons are made with respect to four major US cities, namely, Boston, New York, New Orleans, and Los Angeles. 20 figures, 14 tables.

Deacon, R.T.; Mead, W.J.; Agarwal, V.B.

1980-02-01T23:59:59.000Z

490

Real Time Pricing and the Real Live Firm  

E-Print Network (OSTI)

ahead Wholesale Market Electricity Prices: Case Study of RTPfluctuations in electricity prices are based on theories ofto increases in electricity prices, as long as doing so

Moezzi, Mithra; Goldman, Charles; Sezgen, Osman; Bharvirkar, Ranjit; Hopper, Nicole

2004-01-01T23:59:59.000Z

491

Revisiting the Income Effect: Gasoline Prices and Grocery Purchases  

E-Print Network (OSTI)

Hurst, 2007b. “Lifecycle Prices and Production,” forthcomingA. Pakes, 1995. “Automobile Prices in Market Equilibrium,”on the Importance of Sticky Prices," Journal of Political

Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

2008-01-01T23:59:59.000Z

492

Credit derivatives : market dimensions, correlation with equity and implied option volatility, regression modeling and statistical price risk  

E-Print Network (OSTI)

This research thesis explores the market dimensions of credit derivatives including the prevalent product structures, leading participants, market applications and the issues confronting this relatively new product. We ...

Kureshy, Imran, A., 1965-

2004-01-01T23:59:59.000Z

493

Methane extraction from geopressured-geothermal brine at wellhead conditions  

DOE Green Energy (OSTI)

Disposal of geopressured-geothermal brine effluents by injection is expected to be costly, even into shallow aquifers. If injection into the production reservoir becomes necessary to maintain productivity and to minimize subsidence, the injection pumping costs can become overwhelming. An option aimed at reducing injection pump operating costs is to maintain a higher than normal pressure at the production wellhead to reduce the injection pumping load. The crucial element, however, is that a significant portion of CH/sub 4/ remains in solution and must be recovered in order for the pressure maintenance option to be cost effective. A laboratory and field test capability has been established, and several methods for extracting dissolved CH/sub 4/ at high temperature and pressure are being evaluated. Solvent extraction and use of hydraulic motors or turbines coupled to CH/sub 4/ recovery systems are the leading candidate methods.

Quong, R.; Owen, L.B.; Locke, F.E.; Otto, C.H.; Netherton, R.; Lorensen, L.E.

1980-05-29T23:59:59.000Z

494

Not All Large Customers are Made Alike: Disaggregating Response toDefault-Service Day-Ahead Market Pricing  

SciTech Connect

For decades, policymakers and program designers have gone onthe assumption that large customers, particularly industrial facilities,are the best candidates for realtime pricing (RTP). This assumption isbased partly on practical considerations (large customers can providepotentially large load reductions) but also on the premise thatbusinesses focused on production cost minimization are most likely toparticipate and respond to opportunities for bill savings. Yet fewstudies have examined the actual price response of large industrial andcommercial customers in a disaggregated fashion, nor have factors such asthe impacts of demand response (DR) enabling technologies, simultaneousemergency DR program participation and price response barriers been fullyelucidated. This second-phase case study of Niagara Mohawk PowerCorporation (NMPC)'s large customer RTP tariff addresses theseinformation needs. The results demonstrate the extreme diversity of largecustomers' response to hourly varying prices. While two-thirdsexhibitsome price response, about 20 percent of customers provide 75-80 percentof the aggregate load reductions. Manufacturing customers are mostprice-responsive as a group, followed by government/education customers,while other sectors are largely unresponsive. However, individualcustomer response varies widely. Currently, enabling technologies do notappear to enhance hourly price response; customers report using them forother purposes. The New York Independent System Operator (NYISO)'semergency DR programs enhance price response, in part by signaling tocustomers that day-ahead prices are high. In sum, large customers docurrently provide moderate price response, but there is significant roomfor improvement through targeted programs that help customers develop andimplement automated load-response strategies.

Hopper, Nicole; Goldman, Charles; Neenan, Bernie

2006-05-12T23:59:59.000Z

495

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 in this marketing program and the situations when it can be used.

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

2008-10-17T23:59:59.000Z

496

The world price of coal  

E-Print Network (OSTI)

A significant increase in the seaborne trade for coal over the past twenty years has unified formerly separate coal markets into a world market in which prices move in tandem. Due to its large domestic market, the United ...

Ellerman, A. Denny

1994-01-01T23:59:59.000Z

497

Allocating Transmission to Mitigate Market Power in Electricity Markets  

E-Print Network (OSTI)

energy spot market equilibrium price is predictable, as it is with Cournot competition and information

Gilbert, Richard; Neuhoff, Karsten; Newberry, David

2002-01-01T23:59:59.000Z

498

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

499

Commerical Price - Marketers  

Annual Energy Outlook 2012 (EIA)

Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2006 2010 2011 View History...

500

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