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Note: This page contains sample records for the topic "uranium market model" from the National Library of EnergyBeta (NLEBeta).
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1

Derived enriched uranium market  

SciTech Connect

The potential impact on the uranium market of highly enriched uranium from nuclear weapons dismantling in the Russian Federation and the USA is analyzed. Uranium supply, conversion, and enrichment factors are outlined for each country; inventories are also listed. The enrichment component and conversion components are expected to cause little disruption to uranium markets. The uranium component of Russian derived enriched uranium hexafluoride is unresolved; US legislation places constraints on its introduction into the US market.

Rutkowski, E.

1996-12-01T23:59:59.000Z

2

Uranium Marketing Annual Report  

Gasoline and Diesel Fuel Update (EIA)

Uranium Marketing Uranium Marketing Annual Report May 2011 www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. U.S. Energy Information Administration | 2010 Uranium Marketing Annual Report ii Contacts This report was prepared by the staff of the Renewables and Uranium Statistics Team, Office of Electricity, Renewables, and Uranium Statistics. Questions about the preparation and content of this report may be directed to Michele Simmons, Team Leader,

3

2012 Uranium Marketing Annual Report  

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

Uranium Marketing Annual Uranium Marketing Annual Report May 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 May 2013 U.S. Energy Information Administration | 2012 Uranium Marketing Annual Report i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. May 2013 U.S. Energy Information Administration | 2012 Uranium Marketing Annual Report ii

4

Uranium Marketing Annual Report  

Gasoline and Diesel Fuel Update (EIA)

4. Uranium sellers to owners and operators of U.S. civilian nuclear power reactors, 2010-2012 2010 2011 2012 4. Uranium sellers to owners and operators of U.S. civilian nuclear power reactors, 2010-2012 2010 2011 2012 American Fuel Resources, LLC Advance Uranium Asset Management Ltd. (was Uranium Asset Management) Advance Uranium Asset Management Ltd. (was Uranium Asset Management) AREVA NC, Inc. (was COGEMA, Inc.) American Fuel Resources, LLC American Fuel Resources, LLC BHP Billiton Olympic Dam Corporation Pty Ltd AREVA NC, Inc. AREVA NC, Inc. CAMECO BHP Billiton Olympic Dam Corporation Pty Ltd BHP Billiton Olympic Dam Corporation Pty Ltd ConverDyn CAMECO CAMECO Denison Mines Corp. ConverDyn ConverDyn Energy Resources of Australia Ltd. Denison Mines Corp. Energy Fuels Resources Energy USA, Inc. Effective Energy N.V. Energy Resources of Australia Ltd.

5

Uranium Marketing Annual Report - Energy Information Administration  

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

Uranium Marketing Annual Report Uranium Marketing Annual Report With Data for 2012 | Release Date: May 16, 2013 | Next Release Date: May 2014 | full report Previous uranium marketing annual reports Year: 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 Go Uranium purchases and prices Owners and operators of U.S. civilian nuclear power reactors ("civilian owner/operators" or "COOs") purchased a total of 58 million pounds U3O8e (equivalent1) of deliveries from U.S. suppliers and foreign suppliers during 2012, at a weighted-average price of $54.99 per pound U3O8e. The 2012 total of 58 million pounds U3O8e increased 5 percent compared with the 2011 total of 55 million pounds U3O8e. The 2012 weighted-average price of

6

U.S. Energy Information Administration / 2012 Uranium Marketing...  

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

U.S. Energy Information Administration 2012 Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 U.S....

7

"28 U.S. Energy Information Administration / 2012 Uranium Marketing...  

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

2972,27010 84757,26774 86527,24732 89835,22269 97466,23264 "28 U.S. Energy Information Administration 2012 Uranium Marketing Annual Report"...

8

U.S. Energy Information Administration / 2012 Uranium Marketing...  

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

rounding. Weighted-average prices are not adjusted for inflation. Source: U.S. Energy Information Administration, Form EIA-858 "Uranium Marketing Annual Survey" (2012)....

9

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

8. Uranium in fuel assemblies loaded into U.S. civilian nuclear power reactors by year, 2008-2012 8. Uranium in fuel assemblies loaded into U.S. civilian nuclear power reactors by year, 2008-2012 thousand pounds U3O8 equivalent Origin of Uranium 2008 2009 2010 2011 P2012 Domestic-Origin Uranium 6,228 5,588 4,119 4,134 4,825 Foreign-Origin Uranium 45,040 43,766 40,187 46,809 44,657 Total 51,268 49,354 44,306 50,943 49,483 P = Preliminary data. Final 2011 fuel assembly data reported in the 2012 survey. Notes: Includes only unirradiated uranium in new fuel assemblies loaded into reactors during the year. Does not include uranium removed from reactors that subsequently will be reloaded. Totals may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration, Form EIA-858 "Uranium Marketing Annual Survey" (2009

10

U.S. Energy Information Administration / 2012 Uranium Marketing...  

Annual Energy Outlook 2012 (EIA)

55,347 54,388 56,233 Weighted-Average Price 41.30 41.23 47.01 54.00 51.44 Source: U.S. Energy Information Administration: Form EIA-858 "Uranium Marketing Annual Survey"...

11

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

1. Unfilled uranium market requirements of owners and operators of U.S. civilian nuclear power reactors, 2012-2022 1. Unfilled uranium market requirements of owners and operators of U.S. civilian nuclear power reactors, 2012-2022 thousand pounds U3O8 equivalent As of December 31, 2011 As of December 31, 2012 Year Annual Cumulative Annual Cumulative 2012 2,096 2,096 - - - 2013 6,740 8,836 1,153 1,153 2014 8,765 17,601 7,494 8,647 2015 19,528 37,128 15,029 23,675 2016 24,059 61,187 16,607 40,282 2017 28,225 89,442 24,316 64,597 2018 35,266 124,708 30,310 94,908 2019 40,901 165,608 33,296 128,204 2020 44,668 210,277 39,442 167,645 2021 44,803 255,080 45,780 213,425 2022 - -- 41,720 255,145 - = No data reported. -- = Not applicable. Note: Totals may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration, Form EIA-858 "Uranium Marketing Annual Survey" (2011-

12

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by origin and delivery year, 2008-2012 thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent . Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by origin and delivery year, 2008-2012 thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent Deliveries 2008 2009 2010 2011 2012 U.S.-Origin Uranium Purchases 7,720 7,053 3,687 5,205 9,807 Weighted-Average Price 59.55 48.92 45.25 52.12 59.44 Foreign-Origin Uranium Purchases 45,633 42,777 42,895 49,626 47,713 Weighted-Average Price 43.47 45.35 49.64 55.98 54.07 Total Purchases 53,353 49,830 46,582 54,831 57,520 Weighted-Average Price 45.88 45.86 49.29 55.64 54.99 Notes: Totals may not equal sum of components because of independent rounding. Weighted-average prices are not adjusted for inflation. Source: U.S. Energy Information Administration: Form EIA-858 "Uranium Marketing Annual Survey" (2008-2012).

13

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

2. Maximum anticipated uranium market requirements of owners and operators of U.S. civilian nuclear power reactors, 2013-2022, as of December 31, 2012 2. Maximum anticipated uranium market requirements of owners and operators of U.S. civilian nuclear power reactors, 2013-2022, as of December 31, 2012 thousand pounds U3O8 equivalent Year Maximum Under Purchase Contracts Unfilled Market Requirements Maximum Anticipated Market Requirements Enrichment Feed Deliveries 2013 48,826 1,153 49,980 47,834 2014 40,328 7,494 47,821 49,256 2015 40,611 15,029 55,639 51,920 2016 31,416 16,607 48,023 48,190 2017 25,758 24,316 50,074 51,420 2018 21,717 30,310 50,027 56,730 2019 17,809 33,296 51,105 49,753 2020 12,710 39,442 52,152 51,680 2021 7,612 45,780 53,392 54,404 2022 5,669 41,720 47,389 47,868 Total 252,456 255,145 507,601 509,055 Note: Totals may not equal sum of components because of independent rounding.

14

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

3. Inventories of uranium by owner as of end of year, 2008-2012 3. Inventories of uranium by owner as of end of year, 2008-2012 thousand pounds U3O8 equivalent Inventories at the End of the Year Owner of Uranium Inventory 2008 2009 2010 2011 P2012 Owners and Operators of U.S. Civilian Nuclear Power Reactors 82,972 84,757 86,527 89,835 97,466 U.S. Brokers and Traders 14,104 13,362 11,125 6,841 5,653 U.S. Converter, Enrichers, Fabricators, and Producers 12,907 13,412 13,608 15,428 17,611 Total Commercial Inventories 109,983 111,531 111,259 112,104 120,730 P = Preliminary data. Final 2011 inventory data reported in the 2012 survey. Note: Totals may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration, Form EIA-858 "Uranium Marketing Annual Survey" (2009-2012).

15

2011 Uranium Marketing Annual Report - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Uranium Feed, Enrichment Services, Uranium Loaded In 2011, COOs delivered 51 million pounds U 3 O 8 e of natural uranium feed to U.S. and foreign enrichers. Fifty-

16

"2012 Uranium Marketing Annual Report"  

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

8. Contracts signed in 2012 by owners and operators of U.S. civilian nuclear power reactors by contract type" 8. Contracts signed in 2012 by owners and operators of U.S. civilian nuclear power reactors by contract type" "thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent" "Purchase Contract Type (Signed in 2012)","Quantity of Deliveries Received in 2012","Weighted-Average Price","Number of Purchase Contracts for Deliveries in 2012" "Spot","W","W",31 "Long-Term","W","W",3 "Total",12346,55.16,34 "W = Data withheld to avoid disclosure of individual company data. " "Notes: Totals may not equal sum of components because of independent rounding. Weighted-average prices are not adjusted for inflation." "Source: U.S. Energy Information Administration, Form EIA-858 ""Uranium Marketing Annual Survey"" (2012)."

17

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

5. Average price and quantity for uranium purchased by owners and operators of U.S. civilian nuclear power reactors by pricing mechanisms and delivery year, 2011-2012 dollars per pound U3O8 equivalent; thousand pounds U3O8 equivalent 5. Average price and quantity for uranium purchased by owners and operators of U.S. civilian nuclear power reactors by pricing mechanisms and delivery year, 2011-2012 dollars per pound U3O8 equivalent; thousand pounds U3O8 equivalent Pricing Mechanisms Domestic Purchases1 Foreign Purchases2 Total Purchases 2011 2012 2011 2012 2011 2012 Contract-Specified (Fixed and Base-Escalated) Pricing Weighted-Average Price 53.48 57.61 56.20 54.74 54.86 56.26 Quantity with Reported Price 11,597 14,495 11,928 12,941 23,525 27,436 Spot-Market Pricing Weighted-Average Price 51.56 49.53 57.72 51.89 55.57 51.19 Quantity with Reported Price 2,931 2,237 5,494 5,772 8,425 7,510 Other Pricing Weighted-Average Price 54.37 56.42 57.06 54.25 56.48 54.71

18

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 2010 2011 2012 American Fuel Resources, LLC Advance Uranium Asset Management Ltd. (was Uranium Asset Management) Advance Uranium Asset Management Ltd. (was Uranium Asset Management) AREVA NC, Inc. (was COGEMA, Inc.) American Fuel Resources, LLC American Fuel Resources, LLC BHP Billiton Olympic Dam Corporation Pty Ltd AREVA NC, Inc. AREVA NC, Inc. CAMECO BHP Billiton Olympic Dam Corporation Pty Ltd BHP Billiton Olympic Dam Corporation Pty Ltd ConverDyn CAMECO CAMECO Denison Mines Corp. ConverDyn ConverDyn Energy Resources of Australia Ltd. Denison Mines Corp. Energy Fuels Resources Energy USA, Inc. Effective Energy N.V.

19

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

Uranium Marketing Annual Report Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Purchase Contract Type (Signed in 2012) Quantity of Deliveries Received in 2012 Weighted-Average Price Contracts for Deliveries in 2012 Spot W W 31 Long-Term W W 3 Total 12,346 55.16 34 Table 8. Contracts signed in 2012 by owners and operators of U.S. civilian nuclear power reactors by contract type thousand pounds U 3 O 8 equivalent; dollars per pound U 3 O 8 equivalent W = Data withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum of components because of independent rounding. Weighted-average prices are not adjusted for inflation. Source: U.S. Energy Information Administration, Form EIA-858 "Uranium Marketing Annual Survey" (2012)

20

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

Uranium Marketing Annual Report Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Deliveries 2008 2009 2010 2011 2012 Purchases of U.S.-Origin and Foreign- Origin Uranium 562 W 350 550 W Weighted-Average Price 75.16 W 47.13 58.12 W Purchases of U.S.-Origin and Foreign- Origin Uranium 9,373 11,125 11,745 14,778 11,545 Weighted-Average Price 39.62 41.88 44.98 53.29 54.44 Purchases W W 0 0 0 Weighted-Average Price W W -- -- -- Purchases of U.S.-Origin and Foreign- Origin Uranium W W 1,851 1,061 W Weighted-Average Price W W 42.24 52.50 W Purchases of U.S.-Origin and Foreign- Origin Uranium 37,156 36,823 32,637 38,442 37,624 Weighted-Average Price 48.49 46.68 51.30 56.60 54.40 Purchases of U.S.-Origin and Foreign- Origin Uranium 53,353 49,830 46,582 54,831 57,520 Weighted-Average Price

Note: This page contains sample records for the topic "uranium market model" 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

"2012 Uranium Marketing Annual Report"  

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

4. Uranium sellers to owners and operators of U.S. civilian nuclear power reactors, 2010-2012" 4. Uranium sellers to owners and operators of U.S. civilian nuclear power reactors, 2010-2012" 2010,2011,2012 "American Fuel Resources, LLC","Advance Uranium Asset Management Ltd. (was Uranium Asset Management)","Advance Uranium Asset Management Ltd. (was Uranium Asset Management)" "AREVA NC, Inc. (was COGEMA, Inc.)","American Fuel Resources, LLC","American Fuel Resources, LLC" "BHP Billiton Olympic Dam Corporation Pty Ltd","AREVA NC, Inc.","AREVA NC, Inc." "CAMECO","BHP Billiton Olympic Dam Corporation Pty Ltd","BHP Billiton Olympic Dam Corporation Pty Ltd" "ConverDyn","CAMECO","CAMECO" "Denison Mines Corp.","ConverDyn","ConverDyn"

22

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

Nuclear & Uranium - Analysis & Projections - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources...

23

U.S. Energy Information Administration / 2012 Uranium Marketing...  

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

of independent rounding. Weighted-average prices are not adjusted for inflation. Sources: U.S. Energy Information Administration: 1994-2002-Uranium Industry Annual, Tables 10, 11...

24

Uranium Marketing Annual Report - Release Date: May 31, 2011  

U.S. Energy Information Administration (EIA)

Table S1a. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors, 1994-2012 million pounds U 3 O 8 equivalent

25

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Origin of Uranium 2008 2009 2010 2011 P2012 Domestic-Origin Uranium 6,228 5,588 4,119 4,134 4,825 Foreign-Origin Uranium 45,040 43,766 40,187 46,809 44,657 Total 51,268 49,354 44,306 50,943 49,483 Table 18. Uranium in fuel assemblies loaded into U.S. civilian nuclear power reactors by year, 2008-2012 thousand pounds U 3 O 8 equivalent P = Preliminary data. Final 2011 fuel assembly data reported in the 2012 survey. Notes: Includes only unirradiated uranium in new fuel assemblies loaded into reactors during the year. Does not include uranium removed from reactors that subsequently will be reloaded. Totals may not equal sum of components because of independent

26

Propane Market Model documentation report  

SciTech Connect

The purpose of this report is to define the objectives of the Propane Market Model (PMM), describe its basic approach, and to provide details on model functions. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The PMM performs a short-term (6- to 9-months) forecast of demand and price for consumer-grad propane in the national US market; it also calculates the end-of-month stock level during the term of the forecast. Another part of the model allows for short-term demand forecasts for certain individual Petroleum Administration for Defense (PAD) districts. The model is used to analyze market behavior assumptions or shocks and to determine the effect on market price, demand, and stock level.

1993-12-01T23:59:59.000Z

27

Distillate Market Model documentation report  

SciTech Connect

The purpose of this report is to define the objectives of the Distillate Market Model (DMM), describe its basic approach, and to provide details on model functions. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The DMM performs a short-term (6- to 9-month) forecast of demand and retail price for distillate fuel oil in the national US market; it also calculates the end-of-month stock level during the term of the forecast. The model is used to analyze certain market behavior assumptions or shocks and to determine the effect on retail market price, demand, and stock level.

1993-12-01T23:59:59.000Z

28

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

2012 Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Year Maximum Under Purchase Contracts Unfilled Market Requirements Maximum Anticipated Market Requirements Enrichment Feed Deliveries 2013 48,826 1,153 49,980 47,834 2014 40,328 7,494 47,821 49,256 2015 40,611 15,029 55,639 51,920 2016 31,416 16,607 48,023 48,190 2017 25,758 24,316 50,074 51,420 2018 21,717 30,310 52,027 56,730 2019 17,809 33,296 51,105 49,753 2020 12,710 39,442 52,152 51,680 2021 7,612 45,780 53,392 54,404 2022 5,669 41,720 47,389 47,868 Total 252,456 255,145 507,601 509,055 Table 12. Maximum anticipated uranium market requirements of owners and operators of U.S. civilian nuclear power reactors, 2013-2022, as of December 31, 2012 thousand pounds U 3 O 8 equivalent

29

Uranium Marketing Annual Report - Release Date: May 31, 2011  

U.S. Energy Information Administration (EIA)

Table 14. Deliveries of uranium feed for enrichment by owners and operators of U.S. civilian nuclear power reactors by origin country and delivery year, 2010-2012

30

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

4. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by origin and material type, 2012 deliveries 4. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by origin and material type, 2012 deliveries thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent Deliveries Uranium Concentrate Natural UF6 Enriched UF6 Natural UF6 and Enriched UF6 Total U.S.-Origin Uranium Purchases W W W W 9,807 Weighted-Average Price W W W W 59.44 Foreign-Origin Uranium Purchases W W W W 47,713 Weighted-Average Price W W W W 54.07 Total Purchases 28,642 W W 28,878 57,520 Weighted-Average Price 54.20 W W 55.80 54.99 W = Data withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum of components because of independent rounding. Weighted-average prices are not adjusted for inflation. Natural UF6 is uranium hexafluoride. The natural UF6 and enriched UF6 quantity represents only the U3O8 equivalent uranium-component quantity specified in the contract for each delivery of natural UF6 and enriched UF6. The natural UF6 and enriched UF6 weighted-average price represent only the U3O8 equivalent uranium-component price specified in the contract for each delivery of natural UF6 and enriched UF6, and does not include the conversion service and enrichment service components.

31

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by supplier and delivery year, 2008-2012 thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent . Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by supplier and delivery year, 2008-2012 thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent Deliveries 2008 2009 2010 2011 2012 Purchased from U.S. Producers Purchases of U.S.-Origin and Foreign-Origin Uranium 562 W 350 550 W Weighted-Average Price 75.16 W 47.13 58.12 W Purchased from U.S. Brokers and Traders Purchases of U.S.-Origin and Foreign-Origin Uranium 9,373 11,125 11,745 14,778 11,545 Weighted-Average Price 39.62 41.88 44.98 53.29 54.44 Purchased from other Owners and Operators of U.S. Civilian Nuclear Power Reactors Purchases W W 0 0 0 Weighted-Average Price W W -- -- -- Purchased from other U.S. Suppliers Purchases of U.S.-Origin and Foreign-Origin Uranium W W 1,851 1,061 W

32

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

S2. Uranium feed deliveries, enrichment services, and uranium loaded by owners and operators of U.S. civilian nuclear power reactors, 1994-2012 S2. Uranium feed deliveries, enrichment services, and uranium loaded by owners and operators of U.S. civilian nuclear power reactors, 1994-2012 Million Pounds U3O8 Equivalent 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Feed Deliveries by Owners and Operators of U.S. Civilian Nuclear Power Reactors 37.6 44.3 49.1 40.3 40.6 43.9 47.8 47.3 54.7 49.3 53.4 52.9 56.6 49.0 43.4 51.9 45.5 51.3 52.1 Uranium in Fuel Assemblies Loaded into U.S. Civilian Nuclear Power Reactors 40.4 51.1 46.2 48.2 38.2 58.8 51.5 52.7 57.2 62.3 50.1 58.3 51.7 45.5 51.3 49.4 44.3 50.9 49.5 Million Separative Work Units (SWU)

33

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

2. Inventories of natural and enriched uranium by material type as of end of year, 2008-2012 thousand pounds U3O8 equivalent 2. Inventories of natural and enriched uranium by material type as of end of year, 2008-2012 thousand pounds U3O8 equivalent Inventories at the End of the Year Type of Uranium Inventory 2008 2009 2010 2011 P2012 Owners and Operators of U.S. Civilian Nuclear Power Reactors Inventories 82,972 84,757 86,527 89,835 97,466 Uranium Concentrate (U3O8) 12,286 15,094 13,076 14,718 13,454 Natural UF6 46,525 38,463 35,767 35,883 30,168 Enriched UF6 13,748 18,195 25,392 19,596 38,903 Fabricated Fuel (not inserted into a reactor) 10,414 13,006 12,292 19,638 14,941 U.S. Supplier Inventories 27,010 26,774 24,732 22,269 23,264 Uranium Concentrate (U3O8) 12,264 12,132 10,153 7,057 W Natural UF6 W W W W W Enriched UF6 W W W W W

34

Simulation Models of Market Power in Electric Markets  

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

Simulation Models of Market Power in Electric Markets Speaker(s): James Bushnell Date: October 26, 2004 - 12:00pm Location: Bldg. 90 Seminar HostPoint of Contact: Bernard...

35

Regions in Energy Market Models  

DOE Green Energy (OSTI)

This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

Short, W.

2007-02-01T23:59:59.000Z

36

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

0. U.S. broker and trader purchases of uranium by origin, supplier, and delivery year, 2008-2012 thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent 0. U.S. broker and trader purchases of uranium by origin, supplier, and delivery year, 2008-2012 thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent Deliveries 2008 2009 2010 2011 2012 Received U.S.-Origin Uranium Purchases 3,009 2,189 2,226 1,668 1,194 Weighted-Average Price 66.14 49.11 43.56 54.85 51.78 Received Foreign-Origin Uranium Purchases 24,861 29,568 27,186 24,695 24,606 Weighted-Average Price 38.78 35.96 41.42 49.69 47.75 Total Received by U.S. Brokers and Traders Purchases 27,871 31,757 29,412 26,363 25,800 Weighted-Average Price 41.73 36.87 41.57 50.02 47.94 Received from Foreign Suppliers Purchases 21,347 26,841 24,693 19,579 20,243 Weighted-Average Price 35.39 34.88 41.23 49.27 47.08

37

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

9. Foreign purchases of uranium by U.S. suppliers and owners and operators of U.S. civilian nuclear power reactors by delivery year, 2008-2012 thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent 9. Foreign purchases of uranium by U.S. suppliers and owners and operators of U.S. civilian nuclear power reactors by delivery year, 2008-2012 thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent Deliveries 2008 2009 2010 2011 2012 U.S. Suppliers Foreign Purchases 24,139 26,661 24,985 19,318 20,196 Weighted-Average Price 33.30 34.80 41.30 48.80 46.80 Owners and Operators of U.S. Civilian Nuclear Power Reactors Foreign Purchases 39,936 32,239 30,362 35,071 36,037 Weighted-Average Price 47.46 46.55 51.69 56.87 54.08 Total Foreign Purchases 57,074 58,900 55,347 54.388 56,233 Weighted-Average Price 41.30 41.23 47.01 54.00 51.44 Notes: Totals may not equal sum of components because of independent rounding. Foreign Purchase: A uranium purchase of foreign-origin uranium from a firm located outside of the United States. Weighted-average prices are not adjusted for inflation.

38

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

Uranium Marketing Annual Report Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Number of Purchasers Quantity with Reported Price Weighted-Average Price Number of Purchasers Quantity with Reported Price Weighted- Average Price Number of Purchasers Quantity with Reported Price Weighted- Average Price First 9 5,650 40.28 9 11,382 46.76 8 10,981 45.58 Second 9 21,274 45.77 8 21,780 54.02 7 11,659 53.03 Third 8 11,944 51.64 8 14,043 58.44 7 21,146 57.22 Fourth 8 7,192 62.88 8 7,104 69.28 7 13,163 61.01 Total 34 46,060 49.29 33 54,308 55.64 29 56,949 54.99 Notes: Totals may not equal sum of components because of independent rounding. Weighted-average prices are not adjusted for inflation. Source: U.S. Energy Information Administration: Form EIA-858 "Uranium Marketing Annual Survey" (2010-2012).

39

"2012 Uranium Marketing Annual Report"  

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

5. Enrichment service sellers to owners and operators of U.S. civilian nuclear power reactors, 2010-2012" 5. Enrichment service sellers to owners and operators of U.S. civilian nuclear power reactors, 2010-2012" 2010,2011,2012 "AREVA NC, Inc. (was COGEMA, Inc.)","Advance Uranium Asset Management Ltd.","Advance Uranium Asset Management Ltd." "LES, LLC (Louisiana Energy Services)","AREVA NC, Inc.","AREVA NC, Inc." "NUKEM, Inc.","CNEIC (China Nuclear Energy Industry Corporation)","CNEIC (China Nuclear Energy Industry Corporation)" "UG U.S.A., Inc.","Energy Northwest","LES, LLC (Louisiana Energy Services)" "URENCO, Inc.","LES, LLC (Louisiana Energy Services)","NextEra Energy Seabrook" "USEC, Inc. (United States Enrichment Corporation)","NUKEM, Inc.","NUKEM, Inc."

40

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

5. Enrichment service sellers to owners and operators of U.S. civilian nuclear power reactors, 2010-2012 5. Enrichment service sellers to owners and operators of U.S. civilian nuclear power reactors, 2010-2012 2010 2011 2012 AREVA NC, Inc. (was COGEMA, Inc.) Advance Uranium Asset Management Ltd. Advance Uranium Asset Management Ltd. LES (Louisiana Energy Services) AREVA NC, Inc. AREVA NC, Inc. NUKEM, Inc. CNEIC (China Nuclear Energy Industry Corporation) CNEIC (China Nuclear Energy Industry Corporation) UG U.S.A., Inc. Energy Northwest LES, LLC (Louisiana Energy Services) URENCO, Inc. LES, LLC (Louisiana Energy Services) NextEra Energy Seabrook USEC, Inc. (United States Enrichment Corporation) NUKEM, Inc. NUKEM, Inc. Westinghouse Electric Company TENEX (Techsnabexport Joint Stock Company) TENEX (Techsnabexport Joint Stock Company) URENCO, Inc. UG U.S.A., Inc.

Note: This page contains sample records for the topic "uranium market model" 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

"2012 Uranium Marketing Annual Report"  

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

7. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by contract type and material type, 2012 deliveries" 7. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by contract type and material type, 2012 deliveries" "thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent" "Material Type","Spot Contracts 1",,"Long-Term Contracts 2",,"Total" ,"Quantity with Reported Price","Weighted-Average Price","Quantity with Reported Price","Weighted-Average Price","Quantity with Reported Price","Weighted-Average Price" "U3O8",3364,54,25279,54.22,28642,54.2 "Natural UF6","W","W","W","W","W","W" "Enriched UF6","W","W","W","W","W","W"

42

"2012 Uranium Marketing Annual Report"  

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

6a. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors ranked by price and distributed by quantity, 2010-2012 deliveries" 6a. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors ranked by price and distributed by quantity, 2010-2012 deliveries" "thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent" "Quantity Distribution 1","Deliveries in 2010",,"Deliveries in 2011",,"Deliveries in 2012" ,"Quantity with Reported Price","Weighted-Average Price","Quantity with Reported Price","Weighted-Average Price","Quantity with Reported Price","Weighted-Average Price" "First ",5757,31.91,6789,34.97,7119,38.24 "Second ",5757,40.66,6789,46.48,7119,48.64 "Third ",5757,43.6,6789,50.8,7119,51.16 "Fourth ",5757,45.34,6789,54.07,7119,54.15

43

"2012 Uranium Marketing Annual Report"  

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

b. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors ranked by price and distributed by purchaser, 2010-2012 deliveries" b. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors ranked by price and distributed by purchaser, 2010-2012 deliveries" "thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent" "Distribution of Purchasers","Deliveries in 2010",,,"Deliveries in 2011",,,"Deliveries in 2012" ,"Number of Purchasers","Quantity with Reported Price","Weighted-Average Price","Number of Purchasers","Quantity with Reported Price","Weighted-Average Price","Number of Purchasers","Quantity with Reported Price","Weighted-Average Price" "First ",9,5650,40.28,9,11382,46.76,8,10981,45.58

44

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

7 7 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Deliveries 2008 2009 2010 2011 2012 Purchases 7,720 7,053 3,687 5,205 9,807 Weighted-Average Price 59.55 48.92 45.25 52.12 59.44 Purchases 45,633 42,777 42,895 49,626 47,713 Weighted-Average Price 43.47 45.35 49.64 55.98 54.07 Purchases 53,353 49,830 46,582 54,831 57,520 Weighted-Average Price 45.88 45.86 49.29 55.64 54.99 Source: U.S. Energy Information Administration: Form EIA-858 "Uranium Marketing Annual Survey" (2008-2012). Table 2. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by origin and delivery year, 2008-2012 thousand pounds U 3 O 8 equivalent; dollars per pound U 3 O 8 equivalent U.S.-Origin Uranium Foreign-Origin Uranium Total Notes: Totals may not equal sum of components because of independent rounding. Weighted-average prices are

45

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

Uranium Marketing Annual Report Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 2011 2012 2011 2012 2011 2012 Weighted-Average Price 53.48 57.61 56.20 54.74 54.86 56.26 Quantity with Reported Price 11,597 14,495 11,928 12,941 23,525 27,436 Weighted-Average Price 51.56 49.53 57.72 51.89 55.57 51.19 Quantity with Reported Price 2,931 2,237 5,494 5,272 8,425 7,510 Weighted-Average Price 54.37 56.42 57.06 54.25 56.48 54.71 Quantity with Reported Price 4,854 4,751 17,505 17,253 22,359 22,004 Weighted-Average Price 53.41 56.51 56.87 54.08 55.64 54.99 Quantity with Reported Price 19,381 21,483 34,927 35,466 54,308 56,949 Total Quantity 19,760 21,483 35,071 36,037 54,831 57,520 All Pricing Mechanisms Total Purchases Contract-Specified (Fixed and Base-Escalated) Pricing Spot-Market Pricing

46

Modeling Uranium-Proton Ion Exchange in Biosorption  

E-Print Network (OSTI)

Modeling Uranium-Proton Ion Exchange in Biosorption J I N B A I Y A N G A N D B O H U M I L V O L E, Quebec, Canada H3A 2B2 Biosorption of uranium metal ions by a nonliving protonated Sargassum fluitans seaweed biomass was used to remove the heavy metal uranium from the aqueous solution. Uranium biosorption

Volesky, Bohumil

47

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

3. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by origin country and delivery year, 2008-2012 thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent 3. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by origin country and delivery year, 2008-2012 thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent Origin Country Deliveries in 2008 Deliveries in 2009 Deliveries in 2010 Deliveries in 2011 Deliveries in 2012 Purchases Weighted-Average Price Purchases Weighted-Average Price Purchases Weighted-Average Price Purchases Weighted-Average Price Purchases Weighted-Average Price Australia 12,758 41.59 11,164 52.25 7,112 51.35 6,001 57.47 6,724 51.17 Brazil W W W W W W W W W W Canada 9,791 48.72 8,975 42.25 10,238 50.35 10,832 56.08 13,584 56.75 China 0 -- 0 -- 0 -- W W W W Czech Republic W W W W W W 0 -- 0 --

48

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

b. Weighted-average price of uranium purchased by owners and operators of U.S. civilian nuclear power reactors, 1994-2012 b. Weighted-average price of uranium purchased by owners and operators of U.S. civilian nuclear power reactors, 1994-2012 dollars per pound U3O8 equivalent Delivery Year 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Total Purchased (Weighted-Average Price) 10.40 11.25 14.12 12.88 12.14 11.63 11.04 10.15 10.36 10.81 12.61 14.36 18.61 32.78 45.88 45.86 49.29 55.64 54.99 Purchased from U.S. Producers 13.72 14.84 14.20 13.60 13.61 13.93 14.81 13.26 13.03 14.17 - - W - - - - 75.16 W 47.13 58.12 W Purchased from U.S. Brokers and Traders 9.34 9.83 13.36 12.31 11.95 11.54 11.28 10.44 10.21 11.05 12.08 13.76 20.49 34.10 39.62 41.88 44.98 53.29 54.44

49

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

7. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by contract type and material type, 2012 deliveries 7. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors by contract type and material type, 2012 deliveries thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent Spot 1 Contracts Long-Term Contracts 2 Total Material Type Quantity with Reported Price Weighted-Average Price Quantity with Reported Price Weighted-Average Price Quantity with Reported Price Weighted-Average Price U3O8 3,364 54.00 25,279 54.22 28,642 54.20 Natural UF6 W W W W W W Enriched UF6 W W W W W W Natural UF6 and Enriched UF6 4,718 48.92 23,589 57.18 28,307 55.80 Total 8,082 51.04 48,867 55.65 56,949 54.99 W = Data withheld to avoid disclosure of individual company data. 1 A one-time delivery (usually) of the entire contract to occur within one year of contract execution (signed date).

50

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

5. Shipments of uranium feed by owners and operators of U.S. civilian nuclear power reactors to domestic and foreign enrichment suppliers, 2013-2022 5. Shipments of uranium feed by owners and operators of U.S. civilian nuclear power reactors to domestic and foreign enrichment suppliers, 2013-2022 thousand pounds U3O8 equivalent Amount of Feed to be Shipped Change from 2011 to 2012 Year of Shipment As of December 31, 2011 As of December 31, 2012 Annual Cumulative 2013 54,620 47,834 -6,786 -6,786 2014 50,521 49,256 -1,265 -8,051 2015 54,346 51,920 -2,426 -10,477 2016 53,523 48,190 -5,333 -15,810 2017 55,100 51,420 -3,680 -19,490 2018 55,939 56,730 791 -18,699 2019 53,339 49,753 -3,586 -22,285 2020 56,996 51,680 -5,316 -27,601 2021 52,269 54,404 -2,135 -25,466 2022 - 47,868 -- -- - = No data reported. -- = Not applicable. Note: Totals may not equal sum of components because of independent rounding.

51

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

a. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors ranked by price and distributed by quantity, 2010-2012 deliveries thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent a. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors ranked by price and distributed by quantity, 2010-2012 deliveries thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent Deliveries in 2010 Deliveries in 2011 Deliveries in 2012 Quantity Distribution1 Quantity with Reported Price Weighted-Average Price Quantity with Reported Price Weighted-Average Price Quantity with Reported Price Weighted-Average Price First 5,757 31.91 6,789 34.97 7,119 38.24 Second 5,757 40.66 6,789 46.48 7,119 48.64 Third 5,757 43.60 6,789 50.80 7,119 51.16 Fourth 5,757 45.34 6,789 54.07 7,119 54.15 Fifth 5,757 47.89 6,789 57.21 7,119 56.93 Sixth 5,757 54.28 6,789 61.90 7,119 59.98 Seventh 5,757 60.21 6,789 65.21 7,119 61.02

52

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

3. Deliveries of uranium feed by owners and operators of U.S. civilian nuclear power reactors by enrichment country and delivery year, 2010-2012 3. Deliveries of uranium feed by owners and operators of U.S. civilian nuclear power reactors by enrichment country and delivery year, 2010-2012 thousand pounds U3O8 equivalent Feed Deliveries in 2010 Feed Deliveries in 2011 Feed Deliveries in 2012 Enrichment Country U.S.-Origin Foreign-Origin Total U.S.-Origin Foreign-Origin Total U.S.-Origin Foreign-Origin Total China 0 0 0 0 W W 0 W W France 0 2,831 2,831 0 2,126 2,126 0 4,578 4,578 Germany 0 W W W W 2,665 W W 1,904 Netherlands W W W 0 W W W W 2,674 Russia 0 2,112 2,112 W W W W W 3,794 United Kingdom W W 4,353 W W 3,816 W W 3,930 Europe1 0 5,367 5,367 1,116 7,617 8,733 W W W Foreign Total W W 19,372 2,137 18,977 21,113 157 19,757 19,914

53

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

0. Contracted purchases of uranium from suppliers by owners and operators of U.S. civilian nuclear power reactors, in effect at the end of 2012, by delivery year, 2013-2022 0. Contracted purchases of uranium from suppliers by owners and operators of U.S. civilian nuclear power reactors, in effect at the end of 2012, by delivery year, 2013-2022 thousand pounds U3O8 equivalent Contracted Purchases from U.S. Suppliers Contracted Purchases from Foreign Suppliers Contracted Purchases from All Suppliers Year of Delivery Minimum Maximum Minimum Maximum Minimum Maximum 2013 14,590 14,790 31,339 34,036 45,929 48,826 2014 6,804 7,032 30,016 33,295 36,820 40,328 2015 7,212 7,649 29,702 32,962 36,913 40,611 2016 5,498 5,910 23,729 25,506 29,227 31,416 2017 4,727 5,147 19,417 20,610 24,144 25,758 2018 4,782 5,027 16,116 16,690 20,898 21,717 2019 5,915 6,196 11,039 11,613 16,954 17,809

54

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

b. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors ranked by price and distributed by purchaser, 2010-2012 deliveries thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent b. Uranium purchased by owners and operators of U.S. civilian nuclear power reactors ranked by price and distributed by purchaser, 2010-2012 deliveries thousand pounds U3O8 equivalent; dollars per pound U3O8 equivalent Deliveries in 2010 Deliveries in 2011 Deliveries in 2012 Distribution of Purchasers Number of Purchasers Quantity with Reported Price Weighted-Average Price Number of Purchasers Quantity with Reported Price Weighted-Average Price Number of Purchasers Quantity with Reported Price Weighted-Average Price First 9 5,650 40.28 9 11,382 46.76 8 10,981 45.58 Second 9 21,274 45.77 9 21,780 54.02 7 11,659 53.03 Third 8 11,944 51.64 8 14,043 58.44 7 21,146 57.22 Fourth 8 7,192 62.88 8 7,104 69.28 7 13,163 61.01

55

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

1 1 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 2010 2011 2012 AREVA NC, Inc. (was COGEMA, Inc.) Advance Uranium Asset Management Ltd. Advance Uranium Asset Management Ltd. LES, LLC (Louisiana Energy Services) AREVA NC, Inc. AREVA NC, Inc. NUKEM, Inc. CNEIC (China Nuclear Energy Industry Corporation) CNEIC (China Nuclear Energy Industry Corporation) UG U.S.A., Inc. Energy Northwest LES, LLC (Louisiana Energy Services) URENCO, Inc. LES, LLC (Louisiana Energy Services) NextEra Energy Seabrook USEC, Inc. (United States Enrichment Corporation) NUKEM, Inc. NUKEM, Inc. Westinghouse Electric Company TENEX (Techsnabexport Joint Stock Company) TENEX (Techsnabexport Joint Stock Company) URENCO, Inc. UG U.S.A., Inc. USEC, Inc. (United States Enrichment Corporation)

56

Uranium Marketing Annual Report - Release Date: May 31, 2011  

Gasoline and Diesel Fuel Update (EIA)

a. Foreign purchases, foreign sales, and uranium inventories owned by U.S. suppliers and owners and operators of U.S. civilian nuclear power reactors, 1994-2012 a. Foreign purchases, foreign sales, and uranium inventories owned by U.S. suppliers and owners and operators of U.S. civilian nuclear power reactors, 1994-2012 million pounds U3O8 equivalent Delivery Year 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Foreign Purchases by U.S. Suppliers 21.1 20.2 21.7 20.4 22.6 21.0 17.4 18.7 22.7 18.2 30.2 27.0 26.1 21.6 24.1 26.7 25.0 19.3 20.2 Foreign Purchases by Owners and Operators of U.S. Civilian Nuclear Power Reactors 15.5 21.1 23.7 22.5 21.1 26.6 27.5 28.0 30.0 34.9 35.9 38.5 38.7 32.5 32.9 32.2 30.4 35.1 36.0 Total Foreign Purchases 36.6 41.3 45.4 43.0 43.7 47.6 44.9 46.7 52.7 53.0 66.1 65.5 64.8 54.1 57.1 58.9 55.3 54.4 56.2

57

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

9 9 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 2008 2009 2010 2011 P2012 Owners and Operators of U.S. Civilian Nuclear Power Reactors 82,972 84,757 86,527 89,835 97,466 U.S. Brokers and Traders 14,104 13,362 11,125 6,841 5,653 U.S. Converter, Enrichers, Fabricators, and Producers 12,907 13,412 13,608 15,428 17,611 Total Commercial Inventories 109,983 111,531 111,259 112,104 120,730 Source: U.S. Energy Information Administration, Form EIA-858 "Uranium Marketing Annual Survey" (2009-2012). Table 23. Inventories of uranium by owner as of end of year, 2008-2012 thousand pounds U 3 O 8 equivalent Owner of Uranium Inventory Inventories at the End of Year P = Preliminary data. Final 2011 inventory data reported in the 2012 survey. Note: Totals may not equal sum of components because of independent rounding.

58

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 2008 2009 2010 2011 P2012 Owners and Operators of U.S. Civilian Nuclear Power Reactors Inventories 82,972 84,757 86,527 89,835 97,466 Uranium Concentrate (U 3 O 8 ) 12,286 15,094 13,076 14,718 13,454 Natural UF 6 46,525 38,463 35,767 35,883 30,168 Enriched UF 6 13,748 18,195 25,392 19,596 38,903 Fabricated Fuel (not inserted into a reactor) 10,414 13,006 12,292 19,638 14,941 U.S. Supplier Inventories 27,010 26,774 24,732 22,269 23,264 Uranium Concentrate (U 3 O 8 ) 12,264 12,132 10,153 7,057 W Natural UF 6 W W W W W Enriched UF 6 W W W W W Fabricated Fuel (not inserted into a reactor) 0 0 0 0 0 Total Commercial Inventories 109,983 111,531 111,259 112,104 120,730

59

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

5 5 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Year of Delivery Minimum Maximum 2013 8,841 9,853 2014 2,247 3,137 2015 2,923 3,972 2016 2,525 2,774 2017 2,169 2,329 2018 2,982 2,982 2019 3,421 3,421 2020 721 721

60

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Deliveries 2008 2009 2010 2011 2012 Purchases 3,009 2,189 2,226 1,668 1,194 Weighted-Average Price 66.14 49.11 43.36 54.85 51.78 Purchases 24,861 29,568 27,186 24,695 24,606 Weighted-Average Price 38.78 35.96 41.42 49.69 47.75 Purchases 27,871 31,757 29,412 26,363 25,800 Weighted-Average Price 41.73 36.87 41.57 50.02 47.94 Purchases 21,347 26,841 24,693 19,579 20,243 Weighted-Average Price 35.39 34.88 41.23 49.27 47.08 Notes: Totals may not equal sum of components because of independent rounding. Weighted-average prices are not adjusted for inflation. Source: U.S. Energy Information Administration: Form EIA-858 "Uranium Marketing Annual Survey" (2008-2012).

Note: This page contains sample records for the topic "uranium market model" 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

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

7 7 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Annual Cumulative Annual Cumulative 2012 2,096 2,096 - -- 2013 6,740 8,836 1,153 1,153 2014 8,765 17,601 7,494 8,647 2015 19,528 37,128 15,029 23,675 2016 24,059 61,187 16,607 40,282 2017 28,255 89,442 24,316 64,597 2018 35,266 124,708 30,310 94,908 2019 40,901 165,608 33,296 128,204 2020 44,668 210,277 39,442 167,645 2021 44,803 255,080 45,780 213,425 2022 - -- 41,720 255,145 Note: Totals may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration, Form EIA-858 "Uranium Marketing Annual Survey" (2011-2012). Table 11. Unfilled uranium market requirements of owners and operators of U.S. civilian nuclear power reactors, 2012-2022 thousand pounds U 3 O 8 equivalent

62

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

2 2 U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Country of Enrichment Service (SWU- origin) 2008 2009 2010 2011 2012 China 0 0 0 W W France 556 895 W W 0 Germany 468 1,059 681 1,539 1,075 Netherlands 1,038 1,345 2,292 1,506 1,496 Russia 4,793 5,478 5,055 5,308 6,560 United Kingdom 2,195 2,940 2,119 2,813 2,648 Europe 1 W W W 670 W Other 2 W W W 0 W Foreign Total 10,709 13,115 11,526 12,395 12,330 United States 1,890 4,102 2,251 2,434 3,261 Total 12,599 17,217 13,776 14,829 15,590 Average Price (US$ per SWU) 121.33 130.78 136.14 136.12 141.36 Source: U.S. Energy Information Administration: Form EIA-858 "Uranium Marketing Annual Survey" (2008-2012).

63

Uranium industry annual 1997  

SciTech Connect

This report provides statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing.

NONE

1998-04-01T23:59:59.000Z

64

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

Uranium Marketing Annual Report Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Million Pounds U 3 O 8 Equivalent 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Feed Deliveries by Owners and Operators of U.S. Civilian Nuclear Power Reactors 37.6 44.3 49.1 40.3 40.6 43.9 47.8 47.3 54.7 49.3 53.4 52.9 56.6 49.0 43.4 51.9 45.5 51.3 52.1 Uranium in Fuel Assemblies Loaded into U.S. Civilian Nuclear Power Reactors 40.4 51.1 46.2 48.2 38.2 58.8 51.5 52.7 57.2 62.3 50.1 58.3 51.7 45.5 51.3 49.4 44.3 50.9 49.5 Million Separative Work Units (SWU) U.S.-Origin Enrichment Services Purchased 7.5 6.7 8.0 6.0 5.7 4.6 5.2 1.3 1.7 1.7 1.4 1.1 1.6 1.5 1.9 4.1 2.3 2.4 3.3 Foreign-Origin Enrichment Services Purchased 1.7 2.8 3.2 2.9 4.4 5.4 6.6 9.1 9.8 10.3 10.4 10.3 11.8

65

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

1 1 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 As of As of December 31, 2011 December 31, 2012 2013 54,620 47,834 -6,786 -6,786 2014 50,521 49,256 -1,265 -8,051 2015 54,346 51,920 -2,426 -10,477 2016 53,523 48,190 -5,333 -15,810 2017 55,100 51,420 -3,680 -19,490 2018 55,939 56,730 791 -18,699 2019 53,339 49,753 -3,586 -22,285 2020 56,996 51,680 -5,316 -27,601 2021 52,269 54,404 2,135 -25,466 2022 - 47,868 -- -- - = No data reported. -- = Not applicable. Note: Totals may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration: Form EIA-858 "Uranium Marketing Annual Survey" (2011-2012). Table 15. Shipments of uranium feed by owners and operators of U.S. civilian nuclear power reactors to domestic and foreign enrichment suppliers, 2013-2022

66

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

9 9 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Deliveries Uranium Concentrate Natural UF 6 Enriched UF 6 Natural UF 6 and Enriched UF 6 Total Purchases W W W W 9,807 Weighted-Average Price W W W W 59.44 Purchases W W W W 47,713 Weighted-Average Price W W W W 54.07 Purchases 28,642 W W 28,878 57,520 Weighted-Average Price 54.20 W W 55.80 54.99 Notes: Totals may not equal sum of components because of independent rounding. Weighted-average prices are not adjusted for inflation. Natural UF 6 is uranium hexafluoride. The natural UF 6 and enriched UF 6 quantity represents only the U 3 O 8 equivalent uranium-component quantity specified in the contract for each delivery of natural UF 6 and enriched UF 6 . The natural UF 6 and enriched UF 6 weighted-average price represent only the U

67

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Minimum Maximum Minimum Maximum Minimum Maximum 2013 14,590 14,790 31,339 34,036 45,929 48,826 2014 6,804 7,032 30,016 33,295 36,820 40,328 2015 7,212 7,649 29,702 32,962 36,913 40,611 2016 5,498 5,910 23,729 25,506 29,227 31,416 2017 4,727 5,147 19,417 20,610 24,144 25,758 2018 4,782 5,027 16,116 16,690 20,898 21,717 2019 5,915 6,196 11,039 11,613 16,954 17,809 2020 2,011 2,171 10,051 10,540 12,062 12,710 2021 W W W W 7,248 7,612 2022 W W W W 5,396 5,669 Total 53,716 56,391 181,874 196,064 235,590 252,456 W = Data withheld to avoid disclosure of individual company data. Note: Totals may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration, Form EIA-858 "Uranium Marketing Annual Survey" (2012).

68

Motor Gasoline Market Model documentation report  

SciTech Connect

The purpose of this report is to define the objectives of the Motor Gasoline Market Model (MGMM), describe its basic approach and to provide detail on model functions. This report is intended as a reference document for model analysts, users, and the general public. The MGMM performs a short-term (6- to 9-month) forecast of demand and price for motor gasoline in the US market; it also calculates end of month stock levels. The model is used to analyze certain market behavior assumptions or shocks and to determine the effect on market price, demand and stock level.

1993-09-01T23:59:59.000Z

69

Computational Modeling of Uranium Hydriding and Complexes  

DOE Green Energy (OSTI)

Uranium hydriding is one of the most important processes that has received considerable attention over many years. Although many experimental and modeling studies have been carried out concerning thermochemistry, diffusion kinetics and mechanisms of U-hydriding, very little is known about the electronic structure and electronic features that govern the U-hydriding process. Yet it is the electronic feature that controls the activation barrier and thus the rate of hydriding. Moreover the role of impurities and the role of the product UH{sub 3} on hydriding rating are not fully understood. An early study by Condon and Larson concerns with the kinetics of U-hydrogen system and a mathematical model for the U-hydriding process. They proposed that diffusion in the reactant phase by hydrogen before nucleation to form hydride phase and that the reaction is first order for hydriding and zero order for dehydriding. Condon has also calculated and measures the reaction rates of U-hydriding and proposed a diffusion model for the U-hydriding. This model was found to be in excellent agreement with the experimental reaction rates. From the slopes of the Arrhenius plot the activation energy was calculated as 6.35 kcal/mole. In a subsequent study Kirkpatrick formulated a close-form for approximate solution to Condon's equation. Bloch and Mintz have proposed the kinetics and mechanism for the U-H reaction over a wide range of pressures and temperatures. They have discussed their results through two models, one, which considers hydrogen diffusion through a protective UH{sub 3} product layer, and the second where hydride growth occurs at the hydride-metal interface. These authors obtained two-dimensional fits of experimental data to the pressure-temperature reactions. Kirkpatrick and Condon have obtained a linear solution to hydriding of uranium. These authors showed that the calculated reaction rates compared quite well with the experimental data at a hydrogen pressure of 1 atm. Powell et al. have studied U-hydriding in ultrahigh vacuum and obtained the linear rate data over a wide range of temperatures and pressures. They found reversible hydrogen sorption on the UH{sub 3} reaction product from kinetic effects at 21 C. This demonstrates restarting of the hydriding process in the presence of UH{sub 3} reaction product. DeMint and Leckey have shown that Si impurities dramatically accelerate the U-hydriding rates. We report our recent results of relativistic computations that vary from complete active space multi-configuration interaction (CAS-MCSCF) followed by multi-reference configuration interaction (MRSDCI) computations that included up to 50 million configurations for modeling of uranium-hydriding with cluster models will be presented.

Balasubramanian, K; Siekhaus, W J; McLean, W

2003-02-03T23:59:59.000Z

70

A Two Stage Stochastic Equilibrium Model for Electricity Markets ...  

E-Print Network (OSTI)

Feb 6, 2008 ... A Two Stage Stochastic Equilibrium Model for Electricity Markets with Two ... Price and Woods [10] for a duopoly market to an oligopoly market.

71

Petroleum Market Module (Volume 1), Model Documentation  

Reports and Publications (EIA)

Model Documentation Volume I - Defines the objectives of the Petroleum Market Model (PMM), describes its basic approach, and provides detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

William Brown

2013-01-14T23:59:59.000Z

72

Modeling wealth distribution in growing markets  

E-Print Network (OSTI)

We introduce an auto-regressive model which captures the growing nature of realistic markets. In our model agents do not trade with other agents, they interact indirectly only through a market. Change of their wealth depends, linearly on how much they invest, and stochastically on how much they gain from the noisy market. The average wealth of the market could be fixed or growing. We show that in a market where investment capacity of agents differ, average wealth of agents generically follow the Pareto-law. In few cases, the individual distribution of wealth of every agent could also be obtained exactly. We also show that the underlying dynamics of other well studied kinetic models of markets can be mapped to the dynamics of our auto-regressive model.

Urna Basu; P. K. Mohanty

2008-03-27T23:59:59.000Z

73

Computing the Electricity Market Equilibrium: Uses of market equilibrium models  

E-Print Network (OSTI)

]. On the demand side, considerable demand is simply not exposed to wholesale price variation, which greatly complicates the spec- ification of a demand model. Furthermore, the specification of electricity markets Engineer- ing, The University of Texas at Austin, Austin, TX 78712, USA (email: baldick

Baldick, Ross

74

An agent-based approach to modeling electricity spot markets  

E-Print Network (OSTI)

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

Visudhiphan, Poonsaeng, 1973-

2003-01-01T23:59:59.000Z

75

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

1 1 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Quantity with Reported Price Weighted-Average Price Quantity with Reported Price Weighted-Average Price Quantity with Reported Price Weighted- Average Price First 5,757 31.91 6,789 34.97 7,119 38.24 Second 5,757 40.66 6,789 46.48 7,119 48.64 Third 5,757 43.60 6,789 50.80 7,119 51.16 Fourth 5,757 45.34 6,789 54.07 7,119 54.15 Fifth 5,757 47.89 6,789 57.21 7,119 56.93 Sixth 5,757 54.28 6,789 61.90 7,119 59.98 Seventh 5,757 60.21 6,789 65.21 7,119 61.02 Eighth 5,757 70.44 6,789 74.45 7,119 69.84 Total 46,060 49.29 54,308 55.64 56,949 54.99 1 Distribution divides total quantity of uranium delivered (with a price) into eight distributions by price (sorted from lowest to highest) and provides the quantity-weighted average price for each distribution.

76

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

9 9 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 U.S.-Origin Foreign- Origin Total U.S.-Origin Foreign- Origin Total U.S.-Origin Foreign- Origin Total China 0 0 0 0 W W 0 W W France 0 2,831 2,831 0 2,126 2,126 0 4,578 4,578 Germany 0 W W W W 2,665 W W 1,904 Netherlands W W W 0 W W W W 2,674 Russia 0 2,112 2,112 W W W W W 3,794 United Kingdom W W 4,353 W W 3,816 W W 3,930 Europe 1 0 5,367 5,367 1,116 7,617 8,733 W W W Foreign Total W W 19,372 2,137 18,977 21,113 157 19,757 19,914 United States W W 26,095 2,293 27,865 30,158 3,908 28,282 32,190 Total 3,245 42,223 45,468 4,430 46,842 51,271 4,065 48,039 52,104 1 Specific country in Europe was not reported. W = Data withheld to avoid disclosure of individual company data. Note: Totals may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration: Form EIA-858 "Uranium Marketing Annual Survey" (2010-2012).

77

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

Uranium Marketing Annual Report Uranium Marketing Annual Report Purchases Weighted- Average Price Purchases Weighted- Average Price Purchases Weighted- Average Price Purchases Weighted- Average Price Purchases Weighted- Average Price Australia 12,758 41.59 11,164 52.25 7,112 51.35 6,001 57.47 6,724 51.17 Brazil W W W W W W W W W W Canada 9,791 48.72 8,975 42.25 10,238 50.35 10,832 56.08 13,584 56.75 China 0 -- 0 -- 0 -- W W W W Czech Republic W W W W W W 0 -- 0 -- Germany 0 -- 0 -- W W 0 -- 0 -- Hungary 0 -- 0 -- W W 0 -- 0 -- Kazakhstan 3,818 60.61 4,985 43.41 6,830 47.81 9,728 53.71 6,234 51.69 Malawi 0 -- 0 -- W W 780 65.44 W W Namibia 3,880 54.79 5,732 47.30 4,913 47.90 6,199 56.74 5,986 54.56 Niger W W 2,001 47.55 587 49.00 1,744 54.38 2,133 50.45 Russia 12,080 27.64 7,938 37.98 10,544 50.28 10,199 56.57 7,643 54.40 South Africa 783 27.50 W W W W 1,524 53.62 1,243 56.45 Ukraine 0 -- 0 -- W W W W W W United Kingdom W W 0 -- 0 -- 0 -- 0 -- Uzbekistan

78

Stochastic Market Equilibrium Model For Generation Planning  

Science Conference Proceedings (OSTI)

It is widely accepted that medium-term generation planning can be advantageously modeled through market equilibrium representation. There exist several methods to define and solve this kind of equilibrium in a deterministic way. Medium-term planning ...

J. Barquín; E. Centeno; J. Reneses

2005-10-01T23:59:59.000Z

79

Validation of the WATEQ4 geochemical model for uranium  

SciTech Connect

As part of the Geochemical Modeling and Nuclide/Rock/Groundwater Interactions Studies Program, a study was conducted to partially validate the WATEQ4 aqueous speciation-solubility geochemical model for uranium. The solubility controls determined with the WATEQ4 geochemical model were in excellent agreement with those laboratory studies in which the solids schoepite (UO/sub 2/(OH)/sub 2/ . H/sub 2/O), UO/sub 2/(OH)/sub 2/, and rutherfordine ((UO/sub 2/CO/sub 3/) were identified as actual solubility controls for uranium. The results of modeling solution analyses from laboratory studies of uranyl phosphate solids, however, identified possible errors in the characterization of solids in the original solubility experiments. As part of this study, significant deficiencies in the WATEQ4 thermodynamic data base for uranium solutes and solids were corrected. Revisions included recalculation of selected uranium reactions. Additionally, thermodynamic data for the hydroxyl complexes of U(VI), including anionic (VI) species, were evaluated (to the extent permitted by the available data). Vanadium reactions were also added to the thermodynamic data base because uranium-vanadium solids can exist in natural ground-water systems. This study is only a partial validation of the WATEQ4 geochemical model because the available laboratory solubility studies do not cover the range of solid phases, alkaline pH values, and concentrations of inorganic complexing ligands needed to evaluate the potential solubility of uranium in ground waters associated with various proposed nuclear waste repositories. Further validation of this or other geochemical models for uranium will require careful determinations of uraninite solubility over the pH range of 7 to 10 under highly reducing conditions and of uranyl hydroxide and phosphate solubilities over the pH range of 7 to 10 under oxygenated conditions.

Krupka, K.M.; Jenne, E.A.; Deutsch, W.J.

1983-09-01T23:59:59.000Z

80

Heterogeneous modeling of the uranium in situ recovery: Kinetic versus solubility Jrmy. Nosa,1, 2  

E-Print Network (OSTI)

Heterogeneous modeling of the uranium in situ recovery: Kinetic versus solubility control Jérémy Mines, Tour AREVA, 1 place Jean Millier, 92084 Paris La Défense Cedex, France The uranium in situ, into the deposit to selectively dissolve uranium. The solution enriched in uranium is pumped out and processed

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "uranium market model" 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

Revenue model innovations in the Chinese online game market  

Science Conference Proceedings (OSTI)

This paper examines how incumbent firms with different levels of market dominance respond to revenue model innovation, i.e. the process by which revenues are generated and captured, and investigates the relationship between market dominance and different ... Keywords: chinese online game market, evolutionary model innovation, levels of market dominance, revenue model innovation, revolutionary model innovation

Jessie Qun Ren; Philip Hardwick

2008-10-01T23:59:59.000Z

82

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

7 7 2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Deliveries to Foreign Suppliers and Utilities 2008 2009 2010 2011 2012 Foreign Sales 4,531 5,801 3,440 4,387 4,798 Weighted-Average Price 46.36 41.43 37.82 53.08 47.53 Foreign Sales 12,709 17,688 19,708 12,297 13,185 Weighted-Average Price 45.36 41.50 43.66 47.61 47.58 Foreign Sales 17,240 23,489 23,147 16,683 17,982 Weighted-Average Price 45.62 41.48 42.78 49.05 47.57 Foreign Sales 4,202 6,229 6,459 4,538 3,699 Weighted-Average Price 40.04 37.11 38.13 52.63 47.26 Foreign Sales 13,038 17,260 16,688 12,145 14,284 Weighted-Average Price 47.42 43.06 44.63 47.71 47.65 From U.S. Brokers and Traders Notes: "Other U.S. Suppliers" are U.S. converters, enrichers, and fabricators. Totals may not equal sum of components because of

83

Modelling Information Flows in Financial Markets  

E-Print Network (OSTI)

This paper presents an overview of information-based asset pricing. In this approach, an asset is defined by its cash-flow structure. The market is assumed to have access to "partial" information about future cash flows. Each cash flow is determined by a collection of independent market factors called X-factors. The market filtration is generated by a set of information processes, each of which carries information about one of the X-factors, and eventually reveals the X-factor. Each information process has two terms, one of which contains a "signal" about the associated X-factor, and the other of which represents "market noise". The price of an asset is given by the expectation of the discounted cash flows in the risk-neutral measure, conditional on the information provided by the market. When the market noise is modelled by a Brownian bridge one is able to construct explicit formulae for asset prices, as well as semi-analytic expressions for the prices and greeks of options and derivatives. In particular, op...

Brody, Dorje C; Macrina, Andrea

2010-01-01T23:59:59.000Z

84

PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM ...  

U.S. Energy Information Administration (EIA)

DOE/EIA-M059(2012) Part 2. PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM . Part 2 - Appendices B thru J . October 2012 . Office of Energy Analysis

85

Uranium industry annual 1996  

SciTech Connect

The Uranium Industry Annual 1996 (UIA 1996) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1996 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. Data on uranium raw materials activities for 1987 through 1996 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2006, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. A feature article, The Role of Thorium in Nuclear Energy, is included. 24 figs., 56 tabs.

NONE

1997-04-01T23:59:59.000Z

86

Distributed Energy Resources Market Diffusion Model  

E-Print Network (OSTI)

regional differences in energy markets and climates, as welldiverse climates and energy markets. These differences areanalyze the effect of other energy market policies in future

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

2006-01-01T23:59:59.000Z

87

Beyond Testing: Empirical Models of Insurance Markets  

E-Print Network (OSTI)

life insurance market: asymmetric information revisited. J.of insurance markets with incomplete information. J. Econ.Keywords: Insurance markets; Asymmetric information; Adverse

Einav, Liran; Finkelstein, Amy; Levin, Jonathan

2009-01-01T23:59:59.000Z

88

Updated Conceptual Model for the 300 Area Uranium Groundwater Plume  

SciTech Connect

The 300 Area uranium groundwater plume in the 300-FF-5 Operable Unit is residual from past discharge of nuclear fuel fabrication wastes to a number of liquid (and solid) disposal sites. The source zones in the disposal sites were remediated by excavation and backfilled to grade, but sorbed uranium remains in deeper, unexcavated vadose zone sediments. In spite of source term removal, the groundwater plume has shown remarkable persistence, with concentrations exceeding the drinking water standard over an area of approximately 1 km2. The plume resides within a coupled vadose zone, groundwater, river zone system of immense complexity and scale. Interactions between geologic structure, the hydrologic system driven by the Columbia River, groundwater-river exchange points, and the geochemistry of uranium contribute to persistence of the plume. The U.S. Department of Energy (DOE) recently completed a Remedial Investigation/Feasibility Study (RI/FS) to document characterization of the 300 Area uranium plume and plan for beginning to implement proposed remedial actions. As part of the RI/FS document, a conceptual model was developed that integrates knowledge of the hydrogeologic and geochemical properties of the 300 Area and controlling processes to yield an understanding of how the system behaves and the variables that control it. Recent results from the Hanford Integrated Field Research Challenge site and the Subsurface Biogeochemistry Scientific Focus Area Project funded by the DOE Office of Science were used to update the conceptual model and provide an assessment of key factors controlling plume persistence.

Zachara, John M.; Freshley, Mark D.; Last, George V.; Peterson, Robert E.; Bjornstad, Bruce N.

2012-11-01T23:59:59.000Z

89

Modelling Correlation in Carbon and Energy Markets  

E-Print Network (OSTI)

, reflecting usage of installed generation capacity. The two hydrocarbon fuels, whose price interactions with carbon emission allowances are under consideration in this study, natural gas and hard coal, together account for approximately 35% of total fuel input... Modelling Correlation in Carbon and Energy Markets Philipp Koenig February 2011 CWPE 1123 & EPRG 1107 www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R Abstract Modelling Correlation...

Koenig, Philipp

2011-02-10T23:59:59.000Z

90

Domestic Uranium Production Report - Quarterly - Energy ...  

U.S. Energy Information Administration (EIA)

Total anticipated uranium market requirements at U.S. civilian nuclear power reactors are 50 million pounds for 2013. 2. 1 2012 Uranium Marketing ...

91

NREL: Energy Analysis - Market Analysis Models and Tools  

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

Energy Analysis Search More Search Options Site Map Printable Version Market Analysis Models and Tools The following is a list of models and tools that are used for market...

92

Agent-based Models of Financial Markets  

E-Print Network (OSTI)

This review deals with several microscopic (``agent-based'') models of financial markets which have been studied by economists and physicists over the last decade: Kim-Markowitz, Levy-Levy-Solomon, Cont-Bouchaud, Solomon-Weisbuch, Lux-Marchesi, Donangelo-Sneppen and Solomon-Levy-Huang. After an overview of simulation approaches in financial economics, we first give a summary of the Donangelo-Sneppen model of monetary exchange and compare it with related models in economics literature. Our selective review then outlines the main ingredients of some influential early models of multi-agent dynamics in financial markets (Kim-Markowitz, Levy-Levy-Solomon). As will be seen, these contributions draw their inspiration from the complex appearance of investors' interactions in real-life markets. Their main aim is to reproduce (and, thereby, provide possible explanations) for the spectacular bubbles and crashes seen in certain historical episodes, but they lack (like almost all the work before 1998 or so) a perspective ...

Samanidou, E; Stauffer, D; Lux, T

2008-01-01T23:59:59.000Z

93

Liquid Fuels Market Model (LFMM) Unveiling LFMM  

Gasoline and Diesel Fuel Update (EIA)

Implementation of the Renewable Fuel Implementation of the Renewable Fuel Standard (RFS) in the Liquid Fuels Market Module (LFMM) of NEMS Michael H. Cole, PhD, PE michael.cole@eia.gov August 1, 2012 | Washington, DC LFMM / NEMS overview 2 M. Cole, EIA Advanced Biofuels Workshop August 1, 2012 | Washington, DC * LFMM is a mathematical representation of the U.S. liquid fuels market (motor gasoline, diesel, biofuels, etc.). EIA analysts use LFMM to project motor fuel prices and production approaches through 2040. * LFMM is a cost-minimization linear program (LP). For a given set of fuel demands, LFMM will find the least-cost means of satisfying those demands, subject to various constraints (such as the RFS). * LFMM is part of the National Energy Modeling System (NEMS), which is a computer model of the U.S. energy economy. EIA uses

94

U.S. Energy Information Administration / 2012 Uranium Marketing Annual Report  

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

2012 Uranium Marketing Annual Report Release Date: May 16, 2013 Next Release Date: May 2014 Delivery Year 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Total Purchased 38.3 43.4 47.3 42.0 42.7 47.9 51.8 55.4 52.7 56.6 64.1 65.7 66.5 51.0 53.4 49.8 46.6 54.8 57.5 Purchased from U.S. Producers 5.4 5.3 5.8 5.7 6.5 5.2 3.6 2.3 1.5 0.6 0.0 W 0.0 0.0 0.6 W 0.4 0.6 W Purchased from U.S. Brokers and Traders 15.3 16.2 13.3 9.9 10.5 10.4 9.1 11.7 13.4 10.5 13.2 10.4 13.9 9.8 9.4 11.1 11.7 14.8 11.5 Purchased from other Owners and Operators of U.S. Civilian Nuclear Power Reactors, other U.S. Suppliers, (and U.S. Government for 2007) 1 1.1 0.6 1.9 3.0 4.5 5.6 8.8 11.4 5.7 8.3 12.2 W 12.6 7.6 6.3 W 1.9 1.1 W Purchased from Foreign Suppliers 16.5 21.4 26.4 23.4 21.3 26.8 30.4 30.0 32.2 37.2 38.7 39.4 40.0 33.5 37.2 36.8 32.6

95

A quantum model for the stock market  

E-Print Network (OSTI)

Beginning with several basic hypotheses of quantum mechanics, we give a new quantum model in econophysics. In this model, we define wave functions and operators of the stock market to establish the Schr\\"odinger equation for the stock price. Based on this theoretical framework, an example of a driven infinite quantum well is considered, in which we use a cosine distribution to simulate the state of stock price in equilibrium. After adding an external field into the Hamiltonian to analytically calculate the wave function, the distribution and the average value of the rate of return are shown.

Chao Zhang; Lu Huang

2010-09-24T23:59:59.000Z

96

Uranium Industry Annual, 1992  

Science Conference Proceedings (OSTI)

The Uranium Industry Annual provides current statistical data on the US uranium industry for the Congress, Federal and State agencies, the uranium and electric utility industries, and the public. The feature article, ``Decommissioning of US Conventional Uranium Production Centers,`` is included. Data on uranium raw materials activities including exploration activities and expenditures, resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities including domestic uranium purchases, commitments by utilities, procurement arrangements, uranium imports under purchase contracts and exports, deliveries to enrichment suppliers, inventories, secondary market activities, utility market requirements, and uranium for sale by domestic suppliers are presented in Chapter 2.

Not Available

1993-10-28T23:59:59.000Z

97

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

98

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

99

Production cost models with regard to liberalised electricity markets.  

E-Print Network (OSTI)

??This book makes a contribution to the formulation and implementation of production cost models for the modelling of liberalized electricity markets by addressing issues associated… (more)

Martinez Diaz, David José

2008-01-01T23:59:59.000Z

100

Coal Market Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Coal Market Module of the National Energy Modeling System Model Documentation 2013 June 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy

Note: This page contains sample records for the topic "uranium market model" 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

Controlling intake of uranium in the workplace: Applications of biokinetic modeling and occupational monitoring data  

Science Conference Proceedings (OSTI)

This report provides methods for interpreting and applying occupational uranium monitoring data. The methods are based on current international radiation protection guidance, current information on the chemical toxicity of uranium, and best available biokinetic models for uranium. Emphasis is on air monitoring data and three types of bioassay data: the concentration of uranium in urine; the concentration of uranium in feces; and the externally measured content of uranium in the chest. Primary Reference guidance levels for prevention of chemical effects and limitation of radiation effects are selected based on a review of current scientific data and regulatory principles for setting standards. Generic investigation levels and immediate action levels are then defined in terms of these primary guidance levels. The generic investigation and immediate actions levels are stated in terms of radiation dose and concentration of uranium in the kidneys. These are not directly measurable quantities, but models can be used to relate the generic levels to the concentration of uranium in air, urine, or feces, or the total uranium activity in the chest. Default investigation and immediate action levels for uranium in air, urine, feces, and chest are recommended for situations in which there is little information on the form of uranium taken into the body. Methods are prescribed also for deriving case-specific investigation and immediate action levels for uranium in air, urine, feces, and chest when there is sufficient information on the form of uranium to narrow the range of predictions of accumulation of uranium in the main target organs for uranium: kidneys for chemical effects and lungs for radiological effects. In addition, methods for using the information herein for alternative guidance levels, different from the ones selected for this report, are described.

Leggett, Richard Wayne [ORNL; Eckerman, Keith F [ORNL; McGinn, Wilson [ORNL; Meck, Dr. Robert A. [U.S. Nuclear Regulatory Commission

2012-01-01T23:59:59.000Z

102

In-situ neutron diffraction and crystal plasticity modeling of ?-Uranium  

Science Conference Proceedings (OSTI)

The present study uses a combination of in-situ neutron diffraction and crystal plasticity modeling to elucidate the deformation mechanisms active in ?-Uranium.

103

Uranium Neutron Coincidence Collar Model Utilizing Boron-10 Lined Tubes  

SciTech Connect

The Department of Energy Office of Nuclear Safeguards and Security (NA-241) is supporting the project Coincidence Counting With Boron-Based Alternative Neutron Detection Technology at Pacific Northwest National Laboratory (PNNL) for the development of a 3He proportional counter alternative neutron coincidence counter. The goal of this project is to design, build and demonstrate a system based upon 10B-lined proportional tubes in a configuration typical for 3He-based coincidence counter applications. This report, providing results for model development of Alternative Boron-Based Uranium Neutron Coincidence Collar (ABUNCL) designs, is a deliverable under Task 2 of the project.

Rogers, Jeremy L.; Ely, James H.; Kouzes, Richard T.; Lintereur, Azaree T.; Siciliano, Edward R.

2012-09-18T23:59:59.000Z

104

Figure 6. Electricity Market Model Supply Regions  

E-Print Network (OSTI)

The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2010, DOE/EIA-M068(2010). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

unknown authors

2010-01-01T23:59:59.000Z

105

Effect of twinning on texture evolution of depleted uranium using a viscoplastic self-consistent model  

Science Conference Proceedings (OSTI)

Ductility and fracture toughness is a major stumbling block in using depleted uranium as a structural material. The ability to correctly model deformation of uranium can be used to create process path methods to improve its structural design ability. The textural evolution of depleted uranium was simulated using a visco-plastic self consistent model and analyzed by comparing pole figures of the simulations and experimental samples. Depleted uranium has the same structure as alpha uranium, which is an orthorhombic phase of uranium. Both deformation slip and twin systems were compared. The VPSC model was chosen to simulate this material because the model encompasses both low-symmetry materials as well as twinning in materials. This is of particular interest since depleted uranium has a high propensity for twinning, which dominates deformation and texture evolution. Simulated results were compared to experimental results to measure the validity of the model. One specific twin system, the {l_brace}176{r_brace}[512] twin, was of specific notice. The VPSC model was used to simulate the influence of this twin on depleted uranium and was compared with a mechanically shocked depleted uranium sample. Under high strain rate shock deformation conditions, the {l_brace}176{r_brace}[512] twin system appears to be a dominant deformation system. By simulating a compression process using the VPSC model with the {l_brace}176{r_brace}[512] twin as the dominant deformation mode, a favorable comparison could be made between the experimental and simulated textures. (authors)

Ho, J.; Garmestani, H. [Georgia Inst. of Technology, Atlanta, GA 30332-0245 (United States); Burrell, R.; Belvin, A. [Y-12 National Security Complex, Oak Ridge, TN (United States); Li, D. [Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352 (United States); McDowell, D. [Woodruff School of Mechanical Engineering, Atlanta, GA 30332-0245 (United States); Rollett, A. [Dept. of Materials Science and Engineering, Carnegie Mellon Univ., Pittsburgh, PA 15213 (United States)

2012-07-01T23:59:59.000Z

106

Electricity Markets Analysis (EMA) Model | Open Energy Information  

Open Energy Info (EERE)

Electricity Markets Analysis (EMA) Model Electricity Markets Analysis (EMA) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Electricity Markets Analysis (EMA) Model Agency/Company /Organization: Research Triangle Institute Sector: Energy Topics: Co-benefits assessment, - Energy Access, Market analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Advanced Website: www.rti.org/page.cfm?objectid=DDC06637-7973-4B0F-AC46B3C69E09ADA9 RelatedTo: Applied Dynamic Analysis of the Global Economy (ADAGE) Model Electricity Markets Analysis (EMA) Model Screenshot References: Electricity Markets Analysis (EMA) Model[1]

107

Modeling the U.S. Rooftop Photovoltaics Market  

DOE Green Energy (OSTI)

Global rooftop PV markets are growing rapidly, fueled by a combination of declining PV prices and several policy-based incentives. The future growth, and size, of the rooftop market is highly dependent on continued PV cost reductions, financing options, net metering policy, carbon prices and future incentives. Several PV market penetration models, sharing a similar structure and methodology, have been developed over the last decade to quantify the impacts of these factors on market growth. This study uses a geospatially rich, bottom-up, PV market penetration model--the Solar Deployment Systems (SolarDS) model developed by the National Renewable Energy Laboratory--to explore key market and policy-based drivers for residential and commercial rooftop PV markets. The identified drivers include a range of options from traditional incentives, to attractive customer financing options, to net metering and carbon policy.

Drury, E.; Denholm, P.; Margolis, R.

2010-09-01T23:59:59.000Z

108

A Game-Theoretical Dynamic Model for Electricity Markets  

E-Print Network (OSTI)

Oct 6, 2010 ... A Game-Theoretical Dynamic Model for Electricity Markets ... forecast horizon, bidding frequency, and some other factors on the price signals.

109

Asymmetric information in fads models in Lâevy markets.  

E-Print Network (OSTI)

??Fads models for stocks under asymmetric information in a purely continuous(GBM) market were first studied by P. Guasoni (2006), where optimal portfolios and maximum expected… (more)

Buckley, Winston S.

2009-01-01T23:59:59.000Z

110

Uranium Lease Tracts Location Map | Department of Energy  

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

Centers Field Sites Power Marketing Administration Other Agencies You are here Home Uranium Lease Tracts Location Map Uranium Lease Tracts Location Map Uranium Lease Tracts...

111

How good are supply function equilibrium models: an empirical analysis of the ERCOT balancing market  

E-Print Network (OSTI)

Equilibrium in Electricity Markets,” Journal of RegulatoryModels for Electricity Markets: Stability, Non-DecreasingBritish Electricity Spot Market,” The Journal of Industrial

Sioshansi, Ramteen; Oren, Shmuel

2007-01-01T23:59:59.000Z

112

Analytical and numerical models of uranium ignition assisted by hydride formation  

DOE Green Energy (OSTI)

Analytical and numerical models of uranium ignition assisted by the oxidation of uranium hydride are described. The models were developed to demonstrate that ignition of large uranium ingots could not occur as a result of possible hydride formation during storage. The thermodynamics-based analytical model predicted an overall 17 C temperature rise of the ingot due to hydride oxidation upon opening of the storage can in air. The numerical model predicted locally higher temperature increases at the surface; the transient temperature increase quickly dissipated. The numerical model was further used to determine conditions for which hydride oxidation does lead to ignition of uranium metal. Room temperature ignition only occurs for high hydride fractions in the nominally oxide reaction product and high specific surface areas of the uranium metal.

Totemeier, T.C.; Hayes, S.L. [Argonne National Lab., Idaho Falls, ID (United States). Engineering Div.

1996-05-01T23:59:59.000Z

113

Volatility Effects on the Escape Time in Financial Market Models  

E-Print Network (OSTI)

We shortly review the statistical properties of the escape times, or hitting times, for stock price returns by using different models which describe the stock market evolution. We compare the probability function (PF) of these escape times with that obtained from real market data. Afterwards we analyze in detail the effect both of noise and different initial conditions on the escape time in a market model with stochastic volatility and a cubic nonlinearity. For this model we compare the PF of the stock price returns, the PF of the volatility and the return correlation with the same statistical characteristics obtained from real market data.

Spagnolo, Bernardo

2008-01-01T23:59:59.000Z

114

Market Acceptance of Advanced Automotive Technologies Model ...  

Open Energy Info (EERE)

of market segments based and multiple regions. For more information, contact the ORNL Energy and Transportation Science Division at http:www.ornl.govscieesetsd...

115

Petroleum Market Model of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.

NONE

1997-01-01T23:59:59.000Z

116

Analyzing money distributions in `ideal gas' models of markets  

E-Print Network (OSTI)

We analyze an ideal gas like models of a trading market. We propose a new fit for the money distribution in the fixed or uniform saving market. For the marketwith quenched random saving factors for its agents we show that the steady state income ($m$) distribution $P(m)$ in the model has a power law tail with Pareto index $\

Chatterjee, A; Stinchcombe, Robert B; Chatterjee, Arnab; Chakrabarti, Bikas K.; Stinchcombe, Robin B.

2005-01-01T23:59:59.000Z

117

Model documentation: electricity market module. [15 year forecasts  

SciTech Connect

This report documents the electricity market model. This model is a component of the Intermediate Future Forecasting System (IFFS), the energy market model used to provide projections of energy markets up to 15 years into the future. The electricity market model was developed by the Supply Analysis and Integration Branch as part of building the larger system. This report is written for an audience consisting of mathematical economists, statisticians, operations research analysts, and utility planners. This report contains an overview and a mathematical specification of the electricity market module. It includes a description of the model logic and the individual subroutines in the computer code. A companion document Intermediate Future Forecasting System: Executive Summary (DOE/EIA-430) provides an overview of the components in IFFS and their linkages. 22 figures, 2 tables.

Sanders, R.C.; Murphy, F.H.

1984-12-01T23:59:59.000Z

118

Modeling the Removal of Uranium U(VI) from Aqueous Solutions in the  

E-Print Network (OSTI)

Modeling the Removal of Uranium U(VI) from Aqueous Solutions in the Presence of Sulfate Reducing Colorado School of Mines, Division of Environmental Science and Engineering, Golden, Colorado 80401 The reduction kinetics of soluble hexavalent uranium (U(VI)) to insoluble tetravalent U(IV) by both a mixed

119

Multicomponent reactive transport modeling at the Ratones uranium mine, Cceres (Spain)  

E-Print Network (OSTI)

management. The Ratones uranium mine was abandoned and flooded in 1974. Due to its reducing undergroundMulticomponent reactive transport modeling at the Ratones uranium mine, Cáceres (Spain) Modelación/06/05 / Accepted: 02/10/05 Abstract Flooding of abandoned mines may have a major impact in groundwater quality

Politècnica de Catalunya, Universitat

120

Multi-agent electricity market modeling with EMCAS.  

Science Conference Proceedings (OSTI)

Electricity systems are a central component of modern economies. Many electricity markets are transitioning from centrally regulated systems to decentralized markets. Furthermore, several electricity markets that have recently undergone this transition have exhibited extremely unsatisfactory results, most notably in California. These high stakes transformations require the introduction of largely untested regulatory structures. Suitable tools that can be used to test these regulatory structures before they are applied to real systems are required. Multi-agent models can provide such tools. To better understand the requirements such as tool, a live electricity market simulation was created. This experience helped to shape the development of the multi-agent Electricity Market Complex Adaptive Systems (EMCAS) model. To explore EMCAS' potential, several variations of the live simulation were created. These variations probed the possible effects of changing power plant outages and price setting rules on electricity market prices.

North, M.; Macal, C.; Conzelmann, G.; Koritarov, V.; Thimmapuram, P.; Veselka, T.

2002-09-05T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

Electricity market equilibrium models: The effect of parametrization  

E-Print Network (OSTI)

of Electrical and Computer Engineering The University of Texas at Austin Abstract-- In this paper, I use] and applies it to a bid-based pool (BBP) model. The BBP model is representative of energy market struc- ture

Baldick, Ross

122

Inventory and facility location models with market selection  

Science Conference Proceedings (OSTI)

We consider important generalizations of a wide class of traditional deterministic inventory and facility location models that we call inventory/facility location models with market selection. Instead of the traditional setting, we are given a ...

Retsef Levi; Joseph Geunes; H. Edwin Romeijn; David B. Shmoys

2005-06-01T23:59:59.000Z

123

Petroleum Market Module Model Documentation (Volume 1) 2006  

Reports and Publications (EIA)

Defines the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

Anthony Radich

2006-03-01T23:59:59.000Z

124

Petroleum Market Module Model Documentation (Volume 1) 2007  

Reports and Publications (EIA)

Defines the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

Anthony Radich

2007-03-01T23:59:59.000Z

125

Petroleum Market Module Model Documentation (Volume 1) 2009  

Reports and Publications (EIA)

Defines the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

2009-08-12T23:59:59.000Z

126

Petroleum Market Module (Volume 2), Model Documentation 2007  

Reports and Publications (EIA)

Defines the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

Anthony Radich

2007-03-01T23:59:59.000Z

127

Petroleum Market Module (Volume 2), Model Documentation 2005  

Reports and Publications (EIA)

Defines the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

Han-Lin Lee

2005-05-01T23:59:59.000Z

128

Petroleum Market Module Model Documentation (Volume 1) 2005  

Reports and Publications (EIA)

Defines the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

Han-Lin Lee

2005-05-01T23:59:59.000Z

129

Petroleum Market Module (Volume 2), Model Documentation 2009  

Reports and Publications (EIA)

Defines the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

Anthony Radich

2009-08-12T23:59:59.000Z

130

Petroleum Market Module (Volume 2), Model Documentation 2008  

Reports and Publications (EIA)

Defines the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

Anthony Radich

2009-02-20T23:59:59.000Z

131

Petroleum Market Module Model Documentation (Volume 1) 2008  

Reports and Publications (EIA)

Defines the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

Anthony Radich

2009-02-20T23:59:59.000Z

132

Petroleum Market Module (Volume 2), Model Documentation 2006  

Reports and Publications (EIA)

Defines the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

Anthony Radich

2006-03-01T23:59:59.000Z

133

Photovoltaic subsystem marketing and distribution model: programming manual. Final report  

DOE Green Energy (OSTI)

Complete documentation of the marketing and distribution (M and D) computer model is provided. The purpose is to estimate the costs of selling and transporting photovoltaic solar energy products from the manufacturer to the final customer. The model adjusts for the inflation and regional differences in marketing and distribution costs. The model consists of three major components: the marketing submodel, the distribution submodel, and the financial submodel. The computer program is explained including the input requirements, output reports, subprograms and operating environment. The program specifications discuss maintaining the validity of the data and potential improvements. An example for a photovoltaic concentrator collector demonstrates the application of the model.

Not Available

1982-07-01T23:59:59.000Z

134

Uranium Downblending and Disposition Project Technology Readiness...  

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

Centers Field Sites Power Marketing Administration Other Agencies You are here Home Uranium Downblending and Disposition Project Technology Readiness Assessment Uranium...

135

Uranium Mining Tax (Nebraska) | Department of Energy  

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

Sites Power Marketing Administration Other Agencies You are here Home Savings Uranium Mining Tax (Nebraska) Uranium Mining Tax (Nebraska) Eligibility Agricultural...

136

Modeling strategic forward contracting in transmission constrained power markets  

Science Conference Proceedings (OSTI)

Taking the effects of transmission network into account, strategic forward contracting induced by the interaction of generation firms' strategies in the spot and forward markets is investigated. A two-stage game model is proposed to describe generation ... Keywords: equilibrium problem with equilibrium constraints (EPEC), nonlinear complementarity method, power market, strategic forward contracting

Wang Xian; Zhang Shaohua

2009-06-01T23:59:59.000Z

137

Uranium industry annual 1998  

SciTech Connect

The Uranium Industry Annual 1998 (UIA 1998) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. It contains data for the period 1989 through 2008 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data provides a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Data on uranium raw materials activities for 1989 through 1998, including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment, are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2008, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, and uranium inventories, are shown in Chapter 2. The methodology used in the 1998 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. The Form EIA-858 ``Uranium Industry Annual Survey`` is shown in Appendix D. For the readers convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix E along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 24 figs., 56 tabs.

NONE

1999-04-22T23:59:59.000Z

138

Uranium industry annual 1994  

SciTech Connect

The Uranium Industry Annual 1994 (UIA 1994) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing during that survey year. The UIA 1994 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the 10-year period 1985 through 1994 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data collected on the ``Uranium Industry Annual Survey`` (UIAS) provide a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1994, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. A feature article, ``Comparison of Uranium Mill Tailings Reclamation in the United States and Canada,`` is included in the UIA 1994. Data on uranium raw materials activities including exploration activities and expenditures, EIA-estimated resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities, including purchases of uranium and enrichment services, and uranium inventories, enrichment feed deliveries (actual and projected), and unfilled market requirements are shown in Chapter 2.

NONE

1995-07-05T23:59:59.000Z

139

Uranium Neutron Coincidence Collar Model Utilizing 3He  

SciTech Connect

The Department of Energy Office of Nuclear Safeguards (NA-241) is supporting the project 'Coincidence Counting With Boron-Based Alternative Neutron Detection Technology' at Pacific Northwest National Laboratory (PNNL) for development of an alternative neutron coincidence counter. The goal of this project is to design, build and demonstrate a boron-lined proportional tube based alternative system in a configuration typically used for 3He-based coincidence counter applications. The specific application selected for boron-lined tube replacement in this project was one of the Uranium Neutron Coincidence Collar (UNCL) designs. This report, providing results for model development of a UNCL, is a deliverable under Task 2 of the project. The current UNCL instruments utilize 3He tubes. As the first step in developing and optimizing a boron-lined proportional counter based version of the UNCL, models of eight different 3He-based UNCL detectors currently in use were developed and evaluated. A comparison was made between the simulated results and measured efficiencies for those systems with values reported in the literature. The reported experimental measurements for efficiencies and die-away times agree to within 10%.

Siciliano, Edward R.; Rogers, Jeremy L.; Schweppe, John E.; Lintereur, Azaree T.; Kouzes, Richard T.

2012-07-30T23:59:59.000Z

140

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

SciTech Connect

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

NONE

1996-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

Integrated Modeling of Electric Power System Operations and Electricity Market Risks with Applications .  

E-Print Network (OSTI)

??Through integrated modeling of power system operations and market risks, this thesis addresses a variety of important issues on market signals modeling, generation capacity scheduling,… (more)

Sun, Haibin

2006-01-01T23:59:59.000Z

142

3D modeling of uranium-bearing solution-collapse breccias in Proterozoic sandstones (Athabasca Basin, Canada)-Metallogenic interpretations  

Science Conference Proceedings (OSTI)

Unconformity-related uranium deposits are the highest grade, large tonnage uranium resources in the world. In the Athabasca Basin (northern Saskatchewan, Canada), which is the premier host for unconformity-type deposits, the ore deposits are frequently ... Keywords: 3D modeling, Athabasca basin, Breccia, Fluid rock ratio, Uranium deposit

Christian Le Carlier de Veslud; Michel Cuney; Guillaume Lorilleux; Jean-Jacques Royer; Michel Jébrak

2009-01-01T23:59:59.000Z

143

Market Model Simulation: The Impact of Increased Automotive ...  

Science Conference Proceedings (OSTI)

In order to reduce energy consumption of gasoline, the U.S. Congress passed the ... from information in a Solomon Smith Barney report on Australian Magnesium, United States .... The market model was used to analyze three scenarios. First ...

144

E-laboratories : agent-based modeling of electricity markets.  

SciTech Connect

Electricity markets are complex adaptive systems that operate under a wide range of rules that span a variety of time scales. These rules are imposed both from above by society and below by physics. Many electricity markets are undergoing or are about to undergo a transition from centrally regulated systems to decentralized markets. Furthermore, several electricity markets have recently undergone this transition with extremely unsatisfactory results, most notably in California. These high stakes transitions require the introduction of largely untested regulatory structures. Suitable laboratories that can be used to test regulatory structures before they are applied to real systems are needed. Agent-based models can provide such electronic laboratories or ''e-laboratories.'' To better understand the requirements of an electricity market e-laboratory, a live electricity market simulation was created. This experience helped to shape the development of the Electricity Market Complex Adaptive Systems (EMCAS) model. To explore EMCAS' potential as an e-laboratory, several variations of the live simulation were created. These variations probed the possible effects of changing power plant outages and price setting rules on electricity market prices.

North, M.; Conzelmann, G.; Koritarov, V.; Macal, C.; Thimmapuram, P.; Veselka, T.

2002-05-03T23:59:59.000Z

145

E-laboratories : agent-based modeling of electricity markets.  

SciTech Connect

Electricity markets are complex adaptive systems that operate under a wide range of rules that span a variety of time scales. These rules are imposed both from above by society and below by physics. Many electricity markets are undergoing or are about to undergo a transition from centrally regulated systems to decentralized markets. Furthermore, several electricity markets have recently undergone this transition with extremely unsatisfactory results, most notably in California. These high stakes transitions require the introduction of largely untested regulatory structures. Suitable laboratories that can be used to test regulatory structures before they are applied to real systems are needed. Agent-based models can provide such electronic laboratories or ''e-laboratories.'' To better understand the requirements of an electricity market e-laboratory, a live electricity market simulation was created. This experience helped to shape the development of the Electricity Market Complex Adaptive Systems (EMCAS) model. To explore EMCAS' potential as an e-laboratory, several variations of the live simulation were created. These variations probed the possible effects of changing power plant outages and price setting rules on electricity market prices.

North, M.; Conzelmann, G.; Koritarov, V.; Macal, C.; Thimmapuram, P.; Veselka, T.

2002-05-03T23:59:59.000Z

146

Two market models for demand response in power networks  

E-Print Network (OSTI)

Abstract — In this paper, we consider two abstract market models for designing demand response to match power supply and shape power demand, respectively. We characterize the resulting equilibria in competitive as well as oligopolistic markets, and propose distributed demand response algorithms to achieve the equilibria. The models serve as a starting point to include the appliance-level details and constraints for designing practical demand response schemes for smart power grids. I.

Lijun Chen; Na Li; Steven H. Low; John C. Doyle

2010-01-01T23:59:59.000Z

147

2012 Uranium Survey Form Proposals - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Uranium fuel, nuclear reactors, ... Office of Management and Budget, ... Environment Markets & Finance Today in Energy. Geography

148

A Model of Marketing Oriented Corporate Culture Influences on Information Technology Adoption  

E-Print Network (OSTI)

A Model of Marketing Oriented Corporate Culture Influences on Information Technology Adoption Kofi a model to investigate the influence of corporate orientation (marketing orientation) on Internet adoption effectiveness. Five constructs for independent variables and one construct for marketing orientation

149

Possible variations on the calcrete-gypcrete uranium model  

Science Conference Proceedings (OSTI)

Genetic models and favorability criteria for calcrete and gypcrete uranium deposits based upon Yeelirrie and other occurrences in Western Australia and upon Langer Henirich and others in Namibia-South West Africa are summarized. Viable analogues of these world-class deposits have not yet been found in USA even though several of the favorable conditions occur in the southwest. A principal deterrent to economic concentration has been tectonic instability. But even in the most favorable areas it is not clear that climates have ever been sufficiently similar to that of the valley-calcrete region of Western Australia. Extensive, thick valley (nonpedogenic) calcretes such as those which host the carnotite in Australia and in Namibia have not been documented here. Nevertheless, submarginal occurrances of carnotite have been found in southwestern United States in small bodies of nonpedogenic and mixed pedogenic-nonpedogenic calcrete. Much of the study is based upon occurrences of carnotite-bearing calcrete and calcrete-gypcrete in the Republic of South Africa. Several of these are described briefly. Some reference is also made to new occurrences and to new data on previously described occurrences on the Namib Desert. Possible variations on the Western Australian and Namibia-South West Africa models which are considered are capillary rise of U in solution, addition of new uraniferous sediment over a calcrete, lateral access of U into a pedogenic calcrete, reworking of U from a weekly mineralized pedogenic calcrete or gypcrete into a new or reconstituted calcrete, or into an unrelated environment for fixation of U.

Carlisle, D.

1980-01-01T23:59:59.000Z

150

Market  

... and its contributions to society and the economy; The marketing group values suggestions from researchers regarding companies to approach.

151

Table S1a. Uranium Purchased by Owners and Operators of U.S ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / 2010 Uranium Marketing ... deliveries, domestic, enrichers, enriched uranium, enrichment, fabricators, feed, foreign, fuel ...

152

Model documentation: Electricity Market Module, Electricity Fuel Dispatch Submodule  

SciTech Connect

This report documents the objectives, analytical approach and development of the National Energy Modeling System Electricity Fuel Dispatch Submodule (EFD), a submodule of the Electricity Market Module (EMM). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

Not Available

1994-04-08T23:59:59.000Z

153

Microeconomics of the ideal gas like market models  

E-Print Network (OSTI)

We develop a framework based on microeconomic theory from which the ideal gas like market models can be addressed. A kinetic exchange model based on that framework is proposed and its distributional features have been studied by considering its moments. Next, we derive the moments of the CC model (Eur. Phys. J. B 17 (2000) 167) as well. Some precise solutions are obtained which conform with the solutions obtained earlier. Finally, an output market is introduced with global price determination in the model with some necessary modifications.

Chakrabarti, Anindya S

2009-01-01T23:59:59.000Z

154

Modeling and Analysis Session: Market, Value, and Policy Analysis (Presentation)  

DOE Green Energy (OSTI)

The Primary objectives: to provide a broad range of analytical support to the Solar Program; and to anticipate and respond to the rapidly evolving analytical needs of the Solar Program. Three broad types of analysis are being carried out under this project including: (1) Market analysis: Developing a PV market penetration model--the SolarDS model--and other tools, in order to gain insight into the factors influencing market penetration of PV technology in U.S. markets. (2) Value analysis: Providing inputs to, support for, and review of the annual GPRA benefits analysis. Also developing methods and tools for improving the quantification of the benefits and cost of solar technologies. (3) Policy analysis: Defining and carrying out analysis that meets the needs of the Solar Energy Technologies Program in a timely fashion, for example evaluating the potential role of solar in the energy economy in the long-term.

Margolis, R. M.

2008-04-01T23:59:59.000Z

155

An Equilibrium Model of Investment in Restructured Electricity Markets  

E-Print Network (OSTI)

in Deregulated Wholesale Electricity Markets,” RAND JournalBehavior in a Competitive Electricity Market,” InternationalMarket Power in Electricity Markets: Beyond Concentration

Bushnell, Jim B; Ishii, Jun

2007-01-01T23:59:59.000Z

156

Uranium Enrichment  

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

Enrichment Depleted Uranium line line Uranium Enrichment Depleted Uranium Health Effects Uranium Enrichment A description of the uranium enrichment process, including gaseous...

157

Over 90% of uranium purchased by U.S. commercial nuclear reactors ...  

U.S. Energy Information Administration (EIA)

Uranium fuel, nuclear reactors ... and enrichment. EIA's 2010 Uranium Marketing Annual Report presents data on purchases and sales of uranium contracts and ...

158

Advanced Modeling of Renewable Energy Market Dynamics: May 2006  

SciTech Connect

This report documents a year-long academic project, presenting selected techniques for analysis of market growth, penetration, and forecasting applicable to renewable energy technologies. Existing mathematical models were modified to incorporate the effects of fiscal policies and were evaluated using available data. The modifications were made based on research and classification of current mathematical models used for predicting market penetration. An analysis of the results was carried out, based on available data. MATLAB versions of existing and new models were developed for research and policy analysis.

Evans, M.; Little, R.; Lloyd, K.; Malikov, G.; Passolt, G.; Arent, D.; Swezey, B.; Mosey, G.

2007-08-01T23:59:59.000Z

159

Petroleum Market Module Model Documentation (Volume 1) 1997  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1997-01-01T23:59:59.000Z

160

Petroleum Market Module Model Documentation (Volume 1) 2002  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2002-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

Petroleum Market Module Model Documentation (Volume 1) 2004  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2004-03-01T23:59:59.000Z

162

Petroleum Market Module Model Documentation (Volume 1) 1998  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1997-12-01T23:59:59.000Z

163

Petroleum Market Module Model Documentation (Volume 1) 2001  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2001-02-01T23:59:59.000Z

164

Petroleum Market Module Model Documentation (Volume 1) 2000  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1999-12-01T23:59:59.000Z

165

Petroleum Market Module Model Documentation (Volume 1) 2003  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2003-02-01T23:59:59.000Z

166

Petroleum Market Module Model Documentation (Volume 1) 1995  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1995-12-01T23:59:59.000Z

167

Petroleum Market Module (Volume 2), Model Documentation 2003  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2003-02-01T23:59:59.000Z

168

Petroleum Market Module (Volume 2), Model Documentation 2002  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2002-03-01T23:59:59.000Z

169

Petroleum Market Module (Volume 2), Model Documentation 2004  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2004-03-01T23:59:59.000Z

170

Petroleum Market Module Model Documentation (Volume 1) 1994  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1994-12-01T23:59:59.000Z

171

Petroleum Market Module Model Documentation (Volume 1) 1999  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1998-12-01T23:59:59.000Z

172

Uranium industry annual 1995  

SciTech Connect

The Uranium Industry Annual 1995 (UIA 1995) provides current statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1995 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the period 1986 through 2005 as collected on the Form EIA-858, ``Uranium Industry Annual Survey``. Data collected on the ``Uranium Industry Annual Survey`` provide a comprehensive statistical characterization of the industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1995, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. Data on uranium raw materials activities for 1986 through 1995 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2005, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. The methodology used in the 1995 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. For the reader`s convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix D along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 14 figs., 56 tabs.

NONE

1996-05-01T23:59:59.000Z

173

MODELING OF FORWARD CONTRACTS IN ELECTRICITY MARKETS.  

E-Print Network (OSTI)

??Since the deregulation of electricity, new models were needed to quantify the price of contracts with speci ed delivery period of electricity. In this thesis… (more)

Fjeldskår, Hanne

2009-01-01T23:59:59.000Z

174

Commodity market modeling and physical trading strategies  

E-Print Network (OSTI)

Investment and operational decisions involving commodities are taken based on the forward prices of these commodities. These prices are volatile, and a model of their evolution must correctly account for their volatility ...

Ellefsen, Per Einar

2010-01-01T23:59:59.000Z

175

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

176

Methodology for modeling geothermal district heating for residential markets  

DOE Green Energy (OSTI)

Methodology is presented for geothermal district heat service and for evaluating the economic market potential for such nonelectrical utilization of the geothermal resource. It is based upon accurate determination of the heating demand and its spatial and temporal profile in each potential market, determination of the cost to provide such service, and correlation of markets and resource sites. Two components of the model are discussed in this report. the residential demand submodel and data base, which includes building characteristics and population distribution on a census tract or minor civil division grid for the nation, projects heating demand densities, and temporal profiles along with the building service modifications and costs. The service submodel and data base designs and costs a subtransmission and distribution network, and it evaluates operating losses at design conditions.

Karkheck, J.; Tessmer, R.G. Jr.

1978-08-01T23:59:59.000Z

177

Audit Report on "Depleted Uranium Hexafluoride Conversion," DOE...  

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

Marketing Administration Other Agencies You are here Home Audit Report on "Depleted Uranium Hexafluoride Conversion," DOEIG-0642 Audit Report on "Depleted Uranium Hexafluoride...

178

Uranium Leasing Program Draft PEIS Public Comment Period Extended...  

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

Centers Field Sites Power Marketing Administration Other Agencies You are here Home Uranium Leasing Program Draft PEIS Public Comment Period Extended to May 31, 2013 Uranium...

179

Follow-up of Depleted Uranium Hexafluoride Conversion, IG-0751...  

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

Marketing Administration Other Agencies You are here Home Follow-up of Depleted Uranium Hexafluoride Conversion, IG-0751 Follow-up of Depleted Uranium Hexafluoride...

180

Depleted Uranium Operations at the Y-12 National Security Complex...  

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

Sites Power Marketing Administration Other Agencies You are here Home Depleted Uranium Operations at the Y-12 National Security Complex, G-0570 Depleted Uranium Operations...

Note: This page contains sample records for the topic "uranium market model" 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

SALE OF ENRICHED URANIUM AT THE FERNALD ENVIRONMENTAL MANAGEMENT...  

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

Power Marketing Administration Other Agencies You are here Home SALE OF ENRICHED URANIUM AT THE FERNALD ENVIRONMENTAL MANAGEMENT PROJECT, IG-0496 SALE OF ENRICHED URANIUM AT...

182

EIS-0472: Uranium Leasing Program, Mesa, Montrose, and San Miguel...  

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

Sites Power Marketing Administration Other Agencies You are here Home EIS-0472: Uranium Leasing Program, Mesa, Montrose, and San Miguel Counties, Colorado EIS-0472: Uranium...

183

Forecasting Financial Time-Series using Artificial Market Models  

E-Print Network (OSTI)

We discuss the theoretical machinery involved in predicting financial market movements using an artificial market model which has been trained on real financial data. This approach to market prediction - in particular, forecasting financial time-series by training a third-party or 'black box' game on the financial data itself -- was discussed by Johnson et al. in cond-mat/0105303 and cond-mat/0105258 and was based on some encouraging preliminary investigations of the dollar-yen exchange rate, various individual stocks, and stock market indices. However, the initial attempts lacked a clear formal methodology. Here we present a detailed methodology, using optimization techniques to build an estimate of the strategy distribution across the multi-trader population. In contrast to earlier attempts, we are able to present a systematic method for identifying 'pockets of predictability' in real-world markets. We find that as each pocket closes up, the black-box system needs to be 'reset' - which is equivalent to sayi...

Gupta, N; Johnson, N F; Gupta, Nachi; Hauser, Raphael; Johnson, Neil F.

2005-01-01T23:59:59.000Z

184

The National Energy Modeling System: An Overview 2000 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

petroleum market module (PMM) represents domestic refinery operations and the marketing of petroleum products to consumption regions. PMM solves for petroleum product prices, crude oil and product import activity (in conjunction with the international energy module and the oil and gas supply module), and domestic refinery capacity expansion and fuel consumption. The solution is derived, satisfying the demand for petroleum products and incorporating the prices for raw material inputs and imported petroleum products, the costs of investment, and the domestic production of crude oil and natural gas liquids. The relationship of PMM to other NEMS modules is illustrated in Figure 17. petroleum market module (PMM) represents domestic refinery operations and the marketing of petroleum products to consumption regions. PMM solves for petroleum product prices, crude oil and product import activity (in conjunction with the international energy module and the oil and gas supply module), and domestic refinery capacity expansion and fuel consumption. The solution is derived, satisfying the demand for petroleum products and incorporating the prices for raw material inputs and imported petroleum products, the costs of investment, and the domestic production of crude oil and natural gas liquids. The relationship of PMM to other NEMS modules is illustrated in Figure 17. Figure 17. Petroleum Market Module Structure PMM is a regional, linear-programming representation of the U.S. petroleum market. Refining operations are represented by a three-region linear programming formulation of the five Petroleum Administration for Defense Districts (PADDs) (Figure 18). PADDs I and V are each treated as single regions, while PADDs II, III, and IV are aggregated into one region. Each region is considered as a single firm where more than 30 distinct refinery processes are modeled. Refining capacity is allowed to expand in each region, but the model does not distinguish between additions to existing refineries or the building of new facilities. Investment criteria are developed exogenously, although the decision to invest is endogenous.

185

Mathematical and computer modelling reports: Modeling and forecasting energy markets with the intermediate future forecasting system  

Science Conference Proceedings (OSTI)

This paper describes the Intermediate Future Forecasting System (IFFS), which is the model used to forecast integrated energy markets by the U.S. Energy Information Administration. The model contains representations of supply and demand for all of the ...

Frederic H. Murphy; John J. Conti; Susan H. Shaw; Reginald Sanders

1989-09-01T23:59:59.000Z

186

Arbitrage free cointegrated models in gas and oil future markets  

E-Print Network (OSTI)

In this article we present a continuous time model for natural gas and crude oil future prices. Its main feature is the possibility to link both energies in the long term and in the short term. For each energy, the future returns are represented as the sum of volatility functions driven by motions. Under the risk neutral probability, the motions of both energies are correlated Brownian motions while under the historical probability, they are cointegrated by a Vectorial Error Correction Model. Our approach is equivalent to defining the market price of risk. This model is free of arbitrage: thus, it can be used for risk management as well for option pricing issues. Calibration on European market data and numerical simulations illustrate well its behavior.

Benmenzer, Grégory; Jérusalem, Céline

2007-01-01T23:59:59.000Z

187

An order flow model and a liquidity measure of financial markets  

E-Print Network (OSTI)

The thesis seeks a better understanding of liquidity generation process of financial markets and attempts to find a quantitative measure of market liquidity. Various statistical modeling techniques are introduced to model ...

Kim, Adlar Jeewook

2008-01-01T23:59:59.000Z

188

Performance Assessment Transport Modeling of Uranium at the Area 5 Radioactive Waste Management Site at the Nevada National Security Site  

SciTech Connect

Following is a brief summary of the assumptions that are pertinent to the radioactive isotope transport in the GoldSim Performance Assessment model of the Area 5 Radioactive Waste Management Site, with special emphasis on the water-phase reactive transport of uranium, which includes depleted uranium products.

NSTec Radioactive Waste

2010-10-12T23:59:59.000Z

189

Elemental Solubility Tendency for the Phases of Uranium by Classical Models Used to Predict Alloy Behavior  

Science Conference Proceedings (OSTI)

Traditional alloy theory models, specifically Darken-Gurry and Miedema’s analyses, that characterize solutes in solid solvents relative to physical properties of the elements have been used to assist in predicting alloy behavior. These models will be applied relative to the three solid phases of uranium: alpha (orthorhombic), beta (tetragonal), and gamma (bcc). These phases have different solubilities for specific alloy additions as a function of temperature. The Darken-Gurry and Miedema models, with modifications based on concepts of Waber, Gschneider, and Brewer will be used to predict the behavior of four types of solutes: 1) Transition metals that are used for various purposes associated with the containment as alloy additions in the uranium fuel 2) Transuranic elements in the uranium 3) Rare earth fission products (lanthanides) 4) Transition metals and other fission products Using these solute map criteria, elemental behavior will be predicted as highly soluble, marginally soluble, or immiscible (compound formers) and will be used to compare solute effects during uranium phase transformations. The overlapping of these solute maps are convenient first approximation tools for predicting alloy behavior.

Van Blackwood; Travis Koenig; Saleem Drera; Brajenda Mishra; Davis Olson; Doug Porter; Robert Mariani

2012-03-01T23:59:59.000Z

190

A Mixed Complementarity-Based Equilibrium Model of Natural Gas Markets  

Science Conference Proceedings (OSTI)

We present a new multiseasonal, multiyear, natural gas market equilibrium model based on the concept of a competitive equilibrium involving the market participants: producers, storage reservoir operators, peak gas operators, pipeline operators, marketers, ... Keywords: games/group decisions: noncooperative, industries: petroleum/natural gas, marketing: competitive strategy, natural resources: energy, programming: complementarity

Steven A. Gabriel; Supat Kiet; Jifang Zhuang

2005-09-01T23:59:59.000Z

191

EIA model documentation: Petroleum Market Model of the National Energy Modeling System  

SciTech Connect

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). The PMM models petroleum refining activities, the marketing of products, the production of natural gas liquids and domestic methanol, projects petroleum provides and sources of supplies for meeting demand. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption.

NONE

1994-12-30T23:59:59.000Z

192

Reinterpretation of Sieczka-Ho{\\l}yst financial market model  

E-Print Network (OSTI)

In this work we essentially reinterpreted the Sieczka-Ho{\\l}yst (SH) model to make it more suited for description of real markets. For instance, this reinterpretation made it possible to consider agents as crafty. These agents encourage their neighbors to buy some stocks if agents have an opportunity to sell these stocks. Also, agents encourage them to sell some stocks if agents have an opposite opportunity. Furthermore, in our interpretation price changes respond only to the agents' opinions change. This kind of respond protects the stock market dynamics against the paradox (present in the SH model), where all agents e.g. buy stocks while the corresponding prices remain unchanged. In this work we found circumstances, where distributions of returns (obtained for quite different time scales) either obey power-law or have at least fat tails. We obtained these distributions from numerical simulations performed in the frame of our approach.

Denys, Mateusz; Kutner, Ryszard

2013-01-01T23:59:59.000Z

193

Search-Theoretic Models of the Labor Market: a Survey  

E-Print Network (OSTI)

We survey the literature on search-theoretic models of the labor market. We show how this approach addresses many issues, including the following: Why do workers sometimes choose to remain unemployed? What determines the lengths of employment and unemployment spells? How can there simultaneously exist unemployed workers and unfilled vacancies? What determines aggregate unemployment and vacancies? How can homogeneous workers earn different wages? What are the tradeoffs firms face from different wages? How do wages and turnover interact? What determines efficient turnover? We discuss various modeling choices concerning wage determination and the meeting process, including recent models of directed search.

Richard Rogerson; Robert Shimer; Randall Wright

2005-01-01T23:59:59.000Z

194

Petroleum Market Model of the National Energy Modeling System. Part 2  

SciTech Connect

This report contains the following: Bibliography; Petroleum Market Model abstract; Data quality; Estimation methodologies (includes refinery investment recovery thresholds, gas plant models, chemical industry demand for methanol, estimation of refinery fixed costs, estimation of distribution costs, estimation of taxes gasoline specifications, estimation of gasoline market shares, estimation of low-sulfur diesel market shares, low-sulfur diesel specifications, estimation of regional conversion coefficients, estimation of SO{sub 2} allowance equations, unfinished oil imports methodology, product pipeline capacities and tariffs, cogeneration methodology, natural gas plant fuel consumption, and Alaskan crude oil exports); Matrix generator documentation; Historical data processing; and Biofuels supply submodule.

1997-12-18T23:59:59.000Z

195

Variably Saturated Flow and Multicomponent Biogeochemical Reactive Transport Modeling of a Uranium Bioremediation Field Experiment  

Science Conference Proceedings (OSTI)

Field experiments at a former uranium mill tailings site have identified the potential for stimulating indigenous bacteria to catalyze the conversion of aqueous uranium in the +6 oxidation state to immobile solid-associated uranium in the +4 oxidation state. This effectively removes uranium from solution resulting in groundwater concentrations below actionable standards. Three-dimensional, coupled variably-saturated flow and biogeochemical reactive transport modeling of a 2008 in situ uranium bioremediation field experiment is used to better understand the interplay of transport rates and biogeochemical reaction rates that determine the location and magnitude of key reaction products. A comprehensive reaction network, developed largely through previous 1-D modeling studies, was used to simulate the impacts on uranium behavior of pulsed acetate amendment, seasonal water table variation, spatially-variable physical (hydraulic conductivity, porosity) and geochemical (reactive surface area) material properties. A principal challenge is the mechanistic representation of biologically-mediated terminal electron acceptor process (TEAP) reactions whose products significantly alter geochemical controls on uranium mobility through increases in pH, alkalinity, exchangeable cations, and highly reactive reduction products. In general, these simulations of the 2008 Big Rusty acetate biostimulation field experiment in Rifle, Colorado confirmed previously identified behaviors including (1) initial dominance by iron reducing bacteria that concomitantly reduce aqueous U(VI), (2) sulfate reducing bacteria that become dominant after {approx}30 days and outcompete iron reducers for the acetate electron donor, (3) continuing iron-reducer activity and U(VI) bioreduction during dominantly sulfate reducing conditions, and (4) lower apparent U(VI) removal from groundwater during dominantly sulfate reducing conditions. New knowledge on simultaneously active metal and sulfate reducers has been incorporated into the modeling. In this case, an initially small population of slow growing sulfate reducers is active from the initiation of biostimulation. Three-dimensional, variably saturated flow modeling was used to address impacts of a falling water table during acetate injection. These impacts included a significant reduction in aquifer saturated thickness and isolation of residual reactants and products, as well as unmitigated uranium, in the newly unsaturated vadose zone. High permeability sandy gravel structures resulted in locally high flow rates in the vicinity of injection wells that increased acetate dilution. In downgradient locations, these structures created preferential flow paths for acetate delivery that enhanced local zones of TEAP reactivity and subsidiary reactions. Conversely, smaller transport rates associated with the lower permeability lithofacies (e.g., fine) and vadose zone were shown to limit acetate access and reaction. Once accessed by acetate, however, these same zones limited subsequent acetate dilution and provided longer residence times that resulted in higher concentrations of TEAP products when terminal electron donors and acceptors were not limiting. Finally, facies-based porosity and reactive surface area variations were shown to affect aqueous uranium concentration distributions; however, the ranges were sufficiently small to preserve general trends. Large computer memory and high computational performance were required to simulate the detailed coupled process models for multiple biogeochemical components in highly resolved heterogeneous materials for the 110-day field experiment and 50 days of post-biostimulation behavior. In this case, a highly-scalable subsurface simulator operating on 128 processor cores for 12 hours was used to simulate each realization. An equivalent simulation without parallel processing would have taken 60 days, assuming sufficient memory was available.

Yabusaki, Steven B.; Fang, Yilin; Williams, Kenneth H.; Murray, Christopher J.; Ward, Anderson L.; Dayvault, Richard; Waichler, Scott R.; Newcomer, Darrell R.; Spane, Frank A.; Long, Philip E.

2011-11-01T23:59:59.000Z

196

Uranium industry annual 1993  

SciTech Connect

Uranium production in the United States has declined dramatically from a peak of 43.7 million pounds U{sub 3}O{sub 8} (16.8 thousand metric tons uranium (U)) in 1980 to 3.1 million pounds U{sub 3}O{sub 8} (1.2 thousand metric tons U) in 1993. This decline is attributed to the world uranium market experiencing oversupply and intense competition. Large inventories of uranium accumulated when optimistic forecasts for growth in nuclear power generation were not realized. The other factor which is affecting U.S. uranium production is that some other countries, notably Australia and Canada, possess higher quality uranium reserves that can be mined at lower costs than those of the United States. Realizing its competitive advantage, Canada was the world`s largest producer in 1993 with an output of 23.9 million pounds U{sub 3}O{sub 8} (9.2 thousand metric tons U). The U.S. uranium industry, responding to over a decade of declining market prices, has downsized and adopted less costly and more efficient production methods. The main result has been a suspension of production from conventional mines and mills. Since mid-1992, only nonconventional production facilities, chiefly in situ leach (ISL) mining and byproduct recovery, have operated in the United States. In contrast, nonconventional sources provided only 13 percent of the uranium produced in 1980. ISL mining has developed into the most cost efficient and environmentally acceptable method for producing uranium in the United States. The process, also known as solution mining, differs from conventional mining in that solutions are used to recover uranium from the ground without excavating the ore and generating associated solid waste. This article describes the current ISL Yang technology and its regulatory approval process, and provides an analysis of the factors favoring ISL mining over conventional methods in a declining uranium market.

Not Available

1994-09-01T23:59:59.000Z

197

Essays on Forecasting and Hedging Models in the Oil Market and Causality Analysis in the Korean Stock Market  

E-Print Network (OSTI)

In this dissertation, three related issues concerning empirical time series models for energy financial markets and the stock market were investigated. The purpose of this dissertation was to analyze the interdependence of price movements, focusing on the forecasting models for crude oil prices and the hedging models for gasoline prices, and to study the change in the contemporaneous causal relationship between investors' activities and stock price movements in the Korean stock market. In the first essay, the nature of forecasting crude oil prices based on financial data for the oil and oil product market is examined. As crack spread and oil-related Exchange-Traded Funds (ETFs) have enabled more consumers and investors to gain access to the crude oil and petroleum products markets, I investigated whether crack spread and oil ETFs were good predictors of oil prices and attempted to determine whether crack spread or oil ETFs were better at explaining oil price movements. In the second essay, the effectiveness of diverse hedging models for the unleaded gasoline price is examined using futures and ETFs. I calculated the optimal hedge ratios for gasoline futures and gasoline ETF utilizing several advanced econometric models and then compared their hedging performances. In the third essay, the contemporaneous causal relationship between multiple players' activities and stock price movements in the Korean stock market was investigated using the framework of a DAG model. The causal impacts of three players' activities in regard to stock return and stock price volatility are examined, concentrating on foreign investor activities. Within this framework, two Korean stock markets, the KSE and KOSDAQ markets, are analyzed and compared. Recognizing the global financial crisis of 2008, the change in casual relationships was examined in terms of pre- and post-break periods. In conclusion, when a multivariate econometric model is developed for multi-markets and multi-players, it is necessary to consider a number of attributes on data relations, including cointegration, causal relationship, time-varying correlation and variance, and multivariate non-normality. This dissertation employs several econometric models to specify these characteristics. This approach will be useful in further studies of the information transmission mechanism among multi-markets or multi-players.

Choi, Hankyeung

2012-08-01T23:59:59.000Z

198

Petroleum Market Model (PMM) - 2002 EIA Models Directory  

U.S. Energy Information Administration (EIA)

Model Structure: FORTRAN callable subroutines, which update the linear programming matrix, re ... and State Energy Price and Expenditure Report.

199

Modeling Structural Changes in Market Demand and Supply  

E-Print Network (OSTI)

Economic events may cause structural changes in markets. To know the effect of the economic event we should analyze the structural changes in the market demand and supply. The purpose of this dissertation is to analyze the effect of selected economic events on market demand and supply using econometric models. Structural changes can be modeled according to the types of changes. For an abrupt and instantaneous break, a dummy variable model can be used. For a smooth and gradual movement, proxy variables which represent the event can be applied, if we know the variables. If we don?t know the appropriate proxy variables, a smooth transition regression model can be employed. The BSE (Bovine Spongiform Encephalopathy) outbreak in the U.S. in 2003 is assumed to make abrupt and instantaneous changes in Korean meat consumption. To analyze the effect on Korean meat consumption, the Korean demands of beef, pork, chicken, and U.S. beef are estimated using an LA/AIDS (Linear Approximate Almost Ideal Demand System) model with the dummy variable specifying the time before and after the BSE. From the results we can confirm that food safety concerns caused by the BSE case changed Korean meat consumption structure. Korean beef and U.S. beef became less elastic, and pork and chicken got more elastic to budget. Korean beef became less price elastic, but pork and U.S. beef got more price elastic. The changes of U.S. natural gas supply caused by technology development and depletion in reserves are analyzed using a smooth transition regression model. From the results, we can confirm that the productivity improvement by technology development is greater than the labor cost increase by depletion, but not greater than the capital cost increase by depletion in mid-2000s. The effects of posting the winning bid in a repeated Vickrey auction are examined using a proxy variable. By applying an unobserved effect Tobit model to the experimental auction done by Corrigan and Rousu (2006) for a candy bar, we can confirm that the changes of bidding behavior are significant, especially when the winning bid is high. By extracting the bid affiliation effects, we showed that true willingness to pay can be estimated.

Park, Beom Su

2010-08-01T23:59:59.000Z

200

230Th-234U Model-Ages of Some Uranium Standard Reference Materials  

SciTech Connect

The 'age' of a sample of uranium is an important aspect of a nuclear forensic investigation and of the attribution of the material to its source. To the extent that the sample obeys the standard rules of radiochronometry, then the production ages of even very recent material can be determined using the {sup 230}Th-{sup 234}U chronometer. These standard rules may be summarized as (a) the daughter/parent ratio at time=zero must be known, and (b) there has been no daughter/parent fractionation since production. For most samples of uranium, the 'ages' determined using this chronometer are semantically 'model-ages' because (a) some assumption of the initial {sup 230}Th content in the sample is required and (b) closed-system behavior is assumed. The uranium standard reference materials originally prepared and distributed by the former US National Bureau of Standards and now distributed by New Brunswick Laboratory as certified reference materials (NBS SRM = NBL CRM) are good candidates for samples where both rules are met. The U isotopic standards have known purification and production dates, and closed-system behavior in the solid form (U{sub 3}O{sub 8}) may be assumed with confidence. We present here {sup 230}Th-{sup 234}U model-ages for several of these standards, determined by isotope dilution mass spectrometry using a multicollector ICP-MS, and compare these ages with their known production history.

Williams, R W; Gaffney, A M; Kristo, M J; Hutcheon, I D

2009-05-28T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

Depleted Uranium  

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

Depleted Uranium Depleted Uranium Depleted Uranium line line Uranium Enrichment Depleted Uranium Health Effects Depleted Uranium Depleted uranium is uranium that has had some of its U-235 content removed. Over the last four decades, large quantities of uranium were processed by gaseous diffusion to produce uranium having a higher concentration of uranium-235 than the 0.72% that occurs naturally (called "enriched" uranium) for use in U.S. national defense and civilian applications. "Depleted" uranium is also a product of the enrichment process. However, depleted uranium has been stripped of some of its natural uranium-235 content. Most of the Department of Energy's (DOE) depleted uranium inventory contains between 0.2 to 0.4 weight-percent uranium-235, well

202

PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM Part ...  

U.S. Energy Information Administration (EIA)

NATIONAL ENERGY MODELING SYSTEM . Part 2 - Appendices B thru J . ... the PMM LP and the re-optimization of the LP matrix are accomplished by executing FORTRAN callable

203

Coal Market Module of the National Energy Modeling System Model ...  

U.S. Energy Information Administration (EIA)

Appendix 3.E. Optimization and Modeling Library (OML) ... Energy Outlook 2002 Projections of Coal Production, Distribution, and Prices for the National

204

EIA model documentation: Petroleum market model of the national energy modeling system  

Science Conference Proceedings (OSTI)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions, the production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level.

NONE

1995-12-28T23:59:59.000Z

205

Cap-and-Trade Modeling and Analysis: Congested Electricity Market Equilibrium  

E-Print Network (OSTI)

can be applied: agent-based models and equilibrium models.its contributions. Agent-based Models. Agent-based modelingof agent-based wholesale electricity market models. Energy

Limpaitoon, Tanachai

2012-01-01T23:59:59.000Z

206

EIA model documentation: Electricity market module - electricity fuel dispatch  

Science Conference Proceedings (OSTI)

This report documents the National Energy Modeling System Electricity Fuel Dispatch Submodule (EFD), a submodule of the Electricity Market Module (EMM) as it was used for EIA`s Annual Energy Outlook 1997. It replaces previous documentation dated March 1994 and subsequent yearly update revisions. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This document serves four purposes. First, it is a reference document providing a detailed description of the model for reviewers and potential users of the EFD including energy experts at the Energy Information Administration (EIA), other Federal agencies, state energy agencies, private firms such as utilities and consulting firms, and non-profit groups such as consumer and environmental groups. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports. Third, it facilitates continuity in model development by providing documentation which details model enhancements that were undertaken for AE097 and since the previous documentation. Last, because the major use of the EFD is to develop forecasts, this documentation explains the calculations, major inputs and assumptions which were used to generate the AE097.

NONE

1997-01-01T23:59:59.000Z

207

Model of a Generic Natural Uranium Conversion Plant ? Suggested Measures to Strengthen International Safeguards  

SciTech Connect

This is the final report that closed a joint collaboration effort between DOE and the National Nuclear Energy Commission of Brazil (CNEN). In 2005, DOE and CNEN started a collaborative effort to evaluate measures that can strengthen the effectiveness of international safeguards at a natural uranium conversion plant (NUCP). The work was performed by DOE s Oak Ridge National Laboratory and CNEN. A generic model of a NUCP was developed and typical processing steps were defined. Advanced instrumentation and techniques for verification purposes were identified and investigated. The scope of the work was triggered by the International Atomic Energy Agency s 2003 revised policy concerning the starting point of safeguards at uranium conversion facilities. Prior to this policy only the final products of the uranium conversion plant were considered to be of composition and purity suitable for use in the nuclear fuel cycle and therefore, subject to the IAEA safeguards control. DOE and CNEN have explored options for implementing the IAEA policy, although Brazil understands that the new policy established by the IAEA is beyond the framework of the Quadripartite Agreement of which it is one of the parties, together with Argentina, the Brazilian-Argentine Agency for Accounting and Control of Nuclear Materials (ABACC) and the IAEA. Two technical papers on this subject were published at the 2005 and 2008 INMM Annual Meetings.

Raffo-Caiado, Ana Claudia [ORNL; Begovich, John M [ORNL; Ferrada, Juan J [ORNL

2009-11-01T23:59:59.000Z

208

Nuclear & Uranium  

U.S. Energy Information Administration (EIA)

Nuclear & Uranium. Uranium fuel ... nuclear reactors, generation, spent fuel. Total Energy. Comprehensive data summaries, comparisons, analysis, and projections ...

209

Model documentation: Electricity Market Module, Electricity Capacity Planning submodule  

SciTech Connect

The National Energy Modeling System (NEMS) is a computer modeling system developed by the Energy Information Administration (EIA). The NEMS produces integrated forecasts for energy markets in the United States by achieving a general equilibrium solution for energy supply and demand. Currently, for each year during the period from 1990 through 2010, the NEMS describes energy supply, conversion, consumption, and pricing. The Electricity Market Module (EMM) is the electricity supply component of the National Energy Modeling System (NEMS). The supply of electricity is a conversion activity since electricity is produced from other energy sources (e.g., fossil, nuclear, and renewable). The EMM represents the generation, transmission, and pricing of electricity. The EMM consists of four main submodules: Electricity Capacity Planning (ECP), Electricity Fuel Dispatching (EFD), Electricity Finance and Pricing (EFP), and Load and Demand-Side Management (LDSM). The ECP evaluates changes in the mix of generating capacity that are necessary to meet future demands for electricity and comply with environmental regulations. The EFD represents dispatching (i.e., operating) decisions and determines how to allocate available capacity to meet the current demand for electricity. Using investment expenditures from the ECP and operating costs from the EFD, the EFP calculates the price of electricity, accounting for state-level regulations involving the allocation of costs. The LDSM translates annual demands for electricity into distributions that describe hourly, seasonal, and time-of-day variations. These distributions are used by the EFD and the ECP to determine the quantity and types of generating capacity that are required to insure reliable and economical supplies of electricity. The EMM also represents nonutility suppliers and interregional and international transmission and trade. These activities are included in the EFD and the ECP.

1994-04-07T23:59:59.000Z

210

Symbolic Dynamics in a Matching Labour Market Model  

E-Print Network (OSTI)

In this paper we apply the techniques of symbolic dynamics to the analysis of a labor market which shows large volatility in employment flows. In a recent paper, Bhattacharya and Bunzel \\cite{BB} have found that the discrete time version of the Pissarides-Mortensen matching model can easily lead to chaotic dynamics under standard sets of parameter values. To conclude about the existence of chaotic dynamics in the numerical examples presented in the paper, the Li-Yorke theorem or the Mitra sufficient condition were applied which seems questionable because they may lead to misleading conclusions. Moreover, in a more recent version of the paper, Bhattacharya and Bunzel \\cite{BB1} present new results in which chaos is completely removed from the dynamics of the model. Our paper explores the matching model so interestingly developed by the authors with the following objectives in mind: (i) to show that chaotic dynamics may still be present in the model for standard parameter values; (ii) to clarify some open questions raised by the authors in \\cite{BB}, by providing a rigorous proof of the existence of chaotic dynamics in the model through the computation of topological entropy in a symbolic dynamics setting.

Diana A. Mendes; Vivaldo M. Mendes; J. Sousa Ramos

2006-08-01T23:59:59.000Z

211

Internal Evolution for Agent Cognition - Agent-Based Modelling of an Artificial Stock Market.  

E-Print Network (OSTI)

??Agent-Based Modeling (ABM) is a powerful simulation technique with applications in several fields, in particular social sciences. Artificial Stock Market (ASM), introduced by a group… (more)

Hassanzadeh, Morteza

2011-01-01T23:59:59.000Z

212

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

213

Efficiency of appliance models on the market before and after DOE standards  

E-Print Network (OSTI)

LBNL-55509 Efficiency of Appliance Models on the MarketEnergy efficiency standards for appliances mandatethat appliance manufacturers not manufacture or import

Meyers, Stephen

2004-01-01T23:59:59.000Z

214

EIA - The National Energy Modeling System: An Overview 2003-Coal Market  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The National Energy Modeling System: An Overview 2003 Coal Market Module Figure 19. Coal Market Module Demand Regions. Need help, contact the National Energy Information Center at 202-586-8800. Figure 20. Coal Market Module Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. Figure 21. Coal Market Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Coal Market Module Table. Need help, contact the National Energy Information Center at 202-586-8800. The coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end–use demand. Coal supplies are differentiated by heat and sulfur content. CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal

215

The U.S. relies on foreign uranium, enrichment services to fuel ...  

U.S. Energy Information Administration (EIA)

The U.S. relies on foreign uranium, enrichment services to fuel its nuclear power plants. Source: U.S. Energy Information Administration, Uranium Marketing Annual Report.

216

Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer  

Open Energy Info (EERE)

Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Choice Model Jump to: navigation, search Tool Summary Name: Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Choice Model Agency/Company /Organization: Oak Ridge National Laboratory OpenEI Keyword(s): EERE tool, Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Choice Model, MA3T Project U.S. consumer demand for plug-in hybrid electric vehicles (PHEV) in competition among various light-duty vehicle technologies for hundreds of market segments based and multiple regions. For more information, contact the ORNL Energy and Transportation Science Division at http://www.ornl.gov/sci/ees/etsd/contactus.shtml References Retrieved from

217

Documentation of the petroleum market model (PMM). Appendix: Model developer`s report  

SciTech Connect

The Office of Integrated Analysis and Forecasting (OIAF) is required to provide complete model documentation to meet the EIA Model Acceptance Standards. The EIA Model Documentation: Petroleum Market Model of the National Energy Modeling System provides a complete description of the Petroleum Market Model`s (PMM) methodology, and relation to other modules in the National Energy Modeling System (NEMS). This Model Developer`s Report (MDR) serves as an appendix to the methodology documentation and provides an assessment of the sensitivity of PMM results to changes in input data. The MDR analysis for PMM is performed by varying several sets of input variables one-at-a-time and examining the effect on a set of selected output variables. The analysis is based on stand-alone, rather than integrated, National Energy Modeling System (NEMS) runs. This means that other NEMS modules are not responding to PMM outputs. The PMM models petroleum refining and marketing. The purpose of the PMM is to project petroleum product prices, refining activities, and movements of petroleum into the United States and among domestic regions. In addition, the PMM estimates capacity expansion and fuel consumption in, the refining industry. The PMM is also used to analyze a wide variety of petroleum-related issues and policies, in order to foster better understanding of the petroleum refining and marketing industry and the effects of certain policies and regulations. The PMM simulates the operation of petroleum refineries in the United States, including the supply and transportation of crude oil to refineries, the regional processing of these raw materials into petroleum products, and the distribution of petroleum products to meet regional demands. The essential outputs of this model are product prices, a petroleum supply/demand balance, demands for refinery fuel use, and capacity expansion.

Not Available

1994-12-28T23:59:59.000Z

218

An Econophysics Model for the Stock-Markets' Analysis and Diagnosis  

E-Print Network (OSTI)

In this paper we present an econophysic model for the description of shares transactions in a capital market. For introducing the fundamentals of this model we used an analogy between the electrical field produced by a system of charges and the overall of economic and financial information of the shares transactions from the stock-markets. An energetic approach of the rate variation for the shares traded on the financial markets was proposed and studied.

Spanulescu, Ion; Stoica, Victor; Gheorghiu, Anca; Velter, Victor

2011-01-01T23:59:59.000Z

219

The Natural Gas Market Model: Equations and data sources  

SciTech Connect

In 1981, EIA began a major study of the impact of natural gas deregulation. Through 1981, the major product of that study was the August 1981 EIA analysis paper entitled ''Analysis of Economic Effects of Accelerated Deregulation of Natural Gas Prices.'' That paper will be referred to as the ''Deregulation Study'' below. The Natural Gas Market Model (NGMM) was the primary model used to produce the forecasts discussed in the Deregulation Study. A modified version of NGMM has been used in the initial runs of the EIA Extended Short-term Forecasting System (ESFS), which is still under development. The purpose of this paper is to provide a comprehensive description of what NGMM is, and of the inputs used with NGMM for the Deregulation Study. The Deregulation Study, and the many documentation reports it cites, contain much information about the substantive studies which led up to the forecasts; however, it does not provide enough detail on how these studies were brought together to permit either a replication or an in-depth evaluation of the forecasts. EIA standards require that models be documented in enough detail to permit replication. This report attempts to fill that gap in documentation, on the basis of a line-by-line audit of the model code, interviews with the model developers, and a replication of the model in the user-oriented system Troll. The report mentions the mechanics of how the solutions are obtained, but not in complete detail. 2 figs., 6 tabs.

Werbos, P.J.

1981-11-01T23:59:59.000Z

220

A Two Stage Stochastic Equilibrium Model for Electricity Markets ...  

E-Print Network (OSTI)

Moreover, Green and Newbery [12] appropriately look .... Green [11] and Newbery [17] ..... defines the same obligation of energy dispatching in the spot market.

Note: This page contains sample records for the topic "uranium market model" 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

Model documentation Coal Market Module of the National Energy Modeling System  

SciTech Connect

This report documents objectives and conceptual and methodological approach used in the development of the National Energy Modeling System (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1996 (AEO96). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s three submodules: Coal Production Submodule, Coal Export Submodule, and Coal Distribution Submodule.

1996-04-30T23:59:59.000Z

222

Model documentation coal market module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives and the conceptual and methodological approach used in the development of the Coal Production Submodule (CPS). It provides a description of the CPS for model analysts and the public. The Coal Market Module provides annual forecasts of prices, production, and consumption of coal.

1997-02-01T23:59:59.000Z

223

Mathematical Geology, Vol. 33, No. 1, 2001 Modeling Uranium Transport in Koongarra,  

E-Print Network (OSTI)

of the given paper consists in obtaining such data for depleted uranium and for four uranium alloys at strain comparison e.g. with depleted uranium. I f we use these materials for design of s t r u c t u r a l p a r Z o Fig. 3 : The effect of the strain rate on the Hugoniot stress -0- ,k A Depleted Uranium A/ o

Hassanizadeh, S. Majid

224

A Generic Framework for a Combined Agent-based Market and Production Model  

Science Conference Proceedings (OSTI)

Agent-based market models are in general based on a-priori defined supply and demand schemes. Likewise, production models assume that prices are known a-priori. In reality prices depend on variable demands and supplies, while demand and supply depend ... Keywords: Agent-based computational economics, Invisible hand, Markets, Price mechanism, Von Neumann technology matrices

Bas Straatman; Danielle J. Marceau; Roger White

2013-04-01T23:59:59.000Z

225

Modeling EU electricity market competition using the residual supply index  

Science Conference Proceedings (OSTI)

An econometric approach to related hourly Residual Supply Index to price-cost margins in the major EU electricity generation markets suggests that market structure, as measured by the RSI, is a significant explanatory factor for markups, even when scarcity and other explanatory variables are included. (author)

Swinand, Gregory; Scully, Derek; Ffoulkes, Stuart; Kessler, Brian

2010-11-15T23:59:59.000Z

226

Dual Estimates of the Optimal Plan Model and Regional Market Costs: A Relationship  

Science Conference Proceedings (OSTI)

The relationship between linear programming dual estimates for the optimal production plan model and real regional market costs is studied. A two-stage linear programming model is necessary for exact approximation of cost allocation in analyzing with ...

Yu. M. Tsodikov; Ya. Yu. Tsodikova

2001-04-01T23:59:59.000Z

227

Petroleum Market Model of the National Energy Modeling System. Part 1  

SciTech Connect

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions, the production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level.

NONE

1997-12-18T23:59:59.000Z

228

A Field and Modeling Study of Windblown Particles from a Uranium Mill Tailings Pile  

SciTech Connect

An extensive field study whose primary objective was to obtain knowledge and understanding of the nature and quantity of windblown particles from uranium mill tailings piles was conducted in the Ambrosia Lake District of New Mexico. The following major field tasks were undertaken: determination of physical, chemical, and radioactivity characteristics of mill tailings particles; an investigation of the nature and quantity of tailings particles in soil in the vicinity of tailings piles; and the determination of the nature and flux of particles being transported by wind as a function of wind speed and height. Results of the field study are presented. Particle size distributions and associated radioactivity were measured. Radioactivity relationships showed uranium daughters in mill tailings to be in essential radioactive equilibrium for the carbonate leach process but thorium-230 tends to be leached into the slurry water for the acid process mill tailings. One objective of the study was to relate windblown particle concentrations, fluxes, and particle sizes to wind speed. Hundreds of samples were taken and analyses were performed, but relationships between wind speed, airborne particle sizes and concentrations were found to be vague and inconclusive. A resuspension, deposition, and transport model was developed and applied using site meteorology. Ground deposition patterns predicted were similar to those found.

Schwendiman, L. C.; Sehmel, G. A.; Horst, T. W.; Thomas, C. W.; Perkins, R. W.

1980-06-01T23:59:59.000Z

229

Uranium hexafluoride public risk  

SciTech Connect

The limiting value for uranium toxicity in a human being should be based on the concentration of uranium (U) in the kidneys. The threshold for nephrotoxicity appears to lie very near 3 {mu}g U per gram kidney tissue. There does not appear to be strong scientific support for any other improved estimate, either higher or lower than this, of the threshold for uranium nephrotoxicity in a human being. The value 3 {mu}g U per gram kidney is the concentration that results from a single intake of about 30 mg soluble uranium by inhalation (assuming the metabolism of a standard person). The concentration of uranium continues to increase in the kidneys after long-term, continuous (or chronic) exposure. After chronic intakes of soluble uranium by workers at the rate of 10 mg U per week, the concentration of uranium in the kidneys approaches and may even exceed the nephrotoxic limit of 3 {mu}g U per gram kidney tissue. Precise values of the kidney concentration depend on the biokinetic model and model parameters assumed for such a calculation. Since it is possible for the concentration of uranium in the kidneys to exceed 3 {mu}g per gram tissue at an intake rate of 10 mg U per week over long periods of time, we believe that the kidneys are protected from injury when intakes of soluble uranium at the rate of 10 mg U per week do not continue for more than two consecutive weeks. For long-term, continuous occupational exposure to low-level, soluble uranium, we recommend a reduced weekly intake limit of 5 mg uranium to prevent nephrotoxicity in workers. Our analysis shows that the nephrotoxic limit of 3 {mu}g U per gram kidney tissues is not exceeded after long-term, continuous uranium intake at the intake rate of 5 mg soluble uranium per week.

Fisher, D.R.; Hui, T.E.; Yurconic, M.; Johnson, J.R.

1994-08-01T23:59:59.000Z

230

Modeling movements in oil, gold, forex and market indices using search volume index and Twitter sentiments  

Science Conference Proceedings (OSTI)

Study of the forecasting models using large scale microblog discussions and the search behavior data can provide a good insight for better understanding the market movements. In this work we collected a dataset of 2 million tweets and search volume index ... Keywords: Twitter, data mining, forex, gold, microblogging, oil, sentiment analysis, social network analysis, stock market

Tushar Rao, Saket Srivastava

2013-05-01T23:59:59.000Z

231

Uranium and Its Compounds  

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

and Its Compounds Uranium and Its Compounds line line What is Uranium? Chemical Forms of Uranium Properties of Uranium Compounds Radioactivity and Radiation Uranium Health Effects...

232

Modeling the electricity market as a complex adaptive system with an agent-based approach.  

SciTech Connect

As power markets are relatively new and still continue to evolve, there is a growing need for advanced modeling approaches that simulate the behavior of electricity markets over time and how market participants may act and react to the changing economic, financial and regulatory environments in which they operate. A new and rather promising approach is to model the electricity market as a complex adaptive system using an agent-based modeling and simulation (ABMS) approach. The purpose of an ABMS model is not necessarily to predict the outcome of a system but to reveal and understand the complex and aggregate system behaviors that emerge from the interactions of the heterogeneous individual entities. Emergent behavior is a key feature of ABMS and is not easily inferred from the simple sum of the behavior of its components. By relying on both established engineering modeling techniques as well as advanced quantitative economic market principles, the ABMS approach is uniquely suited to addressing the strategic issues of interest to different market participants as well as those of market monitors and regulators.

Koritarov, V.; Decision and Information Sciences

2004-07-01T23:59:59.000Z

233

Survey review of models for use in market penetration analysis: utility sector focus  

SciTech Connect

The ultimate benefits of federal expenditures in research and development for new technologies are dependent upon the degree of acceptance of these technologies. Market penetration considerations are central to the problem of quantifying the potential benefits. These benefits are inputs to the selection process of projects competing for finite R and D funds. Market penetration is the gradual acceptance of a new commodity or technology. The Office of Coal utilization is concerned with the specialized area of market penetration of new electric power generation technologies for both replacement and new capacity. The common measure of market penetration is the fraction of the market serviced by the challenging technology for each time point considered. The methodologies for estimating market penetration are divided into three generic classes: integrated energy/economy modeling systems, utility capacity expansion models, and technology substitution models. In general, the integrated energy/economy modeling systems have three advantages: they provide internally consistent macro, energy-economy scenarios, they account for the effect of prices on demand by fuel form, and they explicitly capture the effects of population growth and the level and structure of economic activity on energy demand. A variety of deficiencies appear in most energy-economy systems models. All of the methodologies may be applied at some level to questions of market penetration of new technologies in the utility sector; choice of methods for a particular analysis must be conditioned by the scope of the analysis, data availability, and the relative cost of alternative analysis.

Groncki, P.J.; Kydes, A.S.; Lamontagne, J.; Marcuse, W.; Vinjamuri, G.

1980-11-01T23:59:59.000Z

234

The National Energy Modeling System: An Overview 1998 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

ELECTRICITY MARKET MODULE ELECTRICITY MARKET MODULE blueball.gif (205 bytes) Electricity Capacity Planning Submodule blueball.gif (205 bytes) Electricity Fuel Dispatch Submodule blueball.gif (205 bytes) Electricity Finance and Pricing Submodule blueball.gif (205 bytes) Load and Demand-Side Management Submodule blueball.gif (205 bytes) Emissions The electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition,

235

Arbitrage Free Models In Markets With Transaction Costs  

E-Print Network (OSTI)

In \\cite{Gua} the notion of stickiness for stochastic processes was introduced. It was also shown that stickiness implies absense of arbitrage in a market with proportional transaction costs. In this paper, we investigate the notion of stickiness further. In particular, we show that stickiness is invariant under composition with continuous functions. We also prove a time change result on stickiness. As an application we provide sufficient conditions for continuous semimartingales to be sticky (A counter example show that not all semi-martingales are sticky). As a result, our paper provides an extended class of stochastic processes that are consistent with the no arbitrage property in a market with friction.

Bayraktar, Erhan

2008-01-01T23:59:59.000Z

236

Multi-Factor Model of Correlated Commodity - Forward Curves for Crude Oil and Shipping Markets  

E-Print Network (OSTI)

An arbitrage free multi-factor model is developed of the correlated forward curves of the crude oil, gasoline, heating oil and tanker shipping markets. Futures contracts trading on public exchanges are used as the primary ...

Ellefsen, Per Einar

2009-01-01T23:59:59.000Z

237

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

238

Market disruption, cascading effects, and economic recovery:a life-cycle hypothesis model.  

Science Conference Proceedings (OSTI)

This paper builds upon previous work [Sprigg and Ehlen, 2004] by introducing a bond market into a model of production and employment. The previous paper described an economy in which households choose whether to enter the labor and product markets based on wages and prices. Firms experiment with prices and employment levels to maximize their profits. We developed agent-based simulations using Aspen, a powerful economic modeling tool developed at Sandia, to demonstrate that multiple-firm economies converge toward the competitive equilibria typified by lower prices and higher output and employment, but also suffer from market noise stemming from consumer churn. In this paper we introduce a bond market as a mechanism for household savings. We simulate an economy of continuous overlapping generations in which each household grows older in the course of the simulation and continually revises its target level of savings according to a life-cycle hypothesis. Households can seek employment, earn income, purchase goods, and contribute to savings until they reach the mandatory retirement age; upon retirement households must draw from savings in order to purchase goods. This paper demonstrates the simultaneous convergence of product, labor, and savings markets to their calculated equilibria, and simulates how a disruption to a productive sector will create cascading effects in all markets. Subsequent work will use similar models to simulate how disruptions, such as terrorist attacks, would interplay with consumer confidence to affect financial markets and the broader economy.

Sprigg, James A.

2004-11-01T23:59:59.000Z

239

"Market Systems" Models and Energy Policy Analysis  

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

"Market Systems" Models and Energy Policy Analysis "Market Systems" Models and Energy Policy Analysis Speaker(s): William Morrow Date: October 17, 2012 - 12:00pm Location: 90-1099 Seminar Host/Point of Contact: Katie Coughlin Many aspects of energy policy in the US intend to influence both "demand-side" (consumer) and "supply-side" (producer) behavior. Analysis for such policies, however, rarely takes into account important complexities related to consumer behavior, firm behavior, competition, and uncertainty that can ultimately limit policy effectiveness. This talk will review the gap between policy analysis and what we know about market behavior. Two elements will serve as an element of focus for detailed discussion: First, game-theoretic "Market Systems" models of product design

240

Modeling hydro power plants in deregulated electricity markets : integration and application of EMCAS and VALORAGUA.  

Science Conference Proceedings (OSTI)

In this paper, we present details of integrating an agent-based model, Electricity Market Complex Adaptive System (EMCAS) with a hydro-thermal coordination model, VALORAGUA. EMCAS provides a framework for simulating deregulated markets with flexible regulatory structure along with bidding strategies for supply offers and demand bids. VALORAGUA provides longer-term operation plans by optimizing hydro and thermal power plant operation for the entire year. In addition, EMCAS uses the price forecasts and weekly hydro schedules from VALORAGUA to provide intra-week hydro plant optimization for hourly supply offers. The integrated model is then applied to the Iberian electricity market which includes about 111 thermal plants and 38 hydro power plants. We then analyze the impact of hydro plant supply offers on the market prices and ways to minimize the Gencospsila exposure to price risk.

Thimmapuram, P.; Veselka, T.; Koritarov, V.; Vilela, S.; Pereira, R.; Silva, R. (Decision and Information Sciences); (Rede Electrica Nacional, S.A.); (Energias de Portugal)

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

Integrated Market Modeling of Hydrogen Transition Scenarios with HyTrans  

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

Integrated Market Modeling of Integrated Market Modeling of Hydrogen Transition Scenarios with HyTrans Paul N. Leiby, David L. Greene and David Bowman Oak Ridge National Laboratory A presentation to the Hydrogen Delivery Analysis Meeting FreedomCAR and Fuels Partnership Delivery, Storage and Hydrogen Pathways Tech Teams May 8-9, 2007 Columbia, MD 2 OAK RIDGE NATIONAL LABORATORY U. S. DEPARTMENT OF ENERGY Drawing from several other DOE models, HyTrans integrates supply and demand in a dynamic non-linear market model to 2050. * H2A - Hydrogen Production - Hydrogen Delivery * PSAT & ASCM - Fuel economy - 2010/2015 cost & performance goals * ORNL Vehicle Choice Model - Fuel availability - Make & model diversity - Price, fuel economy, etc. * Vehicle Manufacturing Cost Estimates (assisted by OEMs)

242

"2012 Uranium Marketing Annual Report"  

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

17. Purchases of enrichment services by owners and operators of U.S. civilian nuclear power reactors by contract type in delivery year, 2012" "thousand separative work units (SWU)"...

243

Rate-limited U(VI) desorption during a small-scale tracer test in a hetereogeneous uranium contaminated aquifer  

E-Print Network (OSTI)

reactive transport modeling of uranium bioremediation fieldof calcium on aqueous uranium(VI) speciation and adsorptiontransport modeling of a uranium bioremediation field

Fox, P.M.

2013-01-01T23:59:59.000Z

244

Modeling of Fission Neutrons as a Signature for Detection of Highly Enriched Uranium  

SciTech Connect

We present the results of modeling intended to evaluate the feasibility of using neutrons from induced fission in highly enriched uranium (HEU) as a means of detecting clandestine HEU, even when it is embedded in absorbing surroundings, such as commercial cargo. We characterized radiation from induced fission in HEU, which consisted of delayed neutrons at all energies and prompt neutrons at energies above a threshold. We found that for the candidate detector and for the conditions we considered, a distinctive HEU signature should be detectable, given sufficient detector size, and should be robust over a range of cargo content. In the modeled scenario, an intense neutron source was used to induce fissions in a spherical shell of HEU. To absorb, scatter, and moderate the neutrons, we place one layer of simulated cargo between the source and target and an identical layer between the target and detector. The resulting neutrons and gamma rays are resolved in both time and energy to reveal the portion arising from fission. We predicted the dominant reaction rates within calcium fluoride and liquid organic scintillators. Finally, we assessed the relative effectiveness of two common neutron source energies.

Wolford, J K; Frank, M I; Descalle, M

2004-03-09T23:59:59.000Z

245

Statistical properties of agent-based models in markets with continuous double auction mechanism  

E-Print Network (OSTI)

Real world markets display power-law features in variables such as price fluctuations in stocks. To further understand market behavior, we have conducted a series of market experiments on our web-based prediction market platform which allows us to reconstruct transaction networks among traders. From these networks, we are able to record the degree of a trader, the size of a community of traders, the transaction time interval among traders and other variables that are of interest. The distributions of all these variables show power-law behavior. On the other hand, agent-based models have been proposed to study the properties of real financial markets. We here study the statistical properties of these agent-based models and compare them with the results from our web-based market experiments. In this work, three agent-based models are studied, namely, zero-intelligence (ZI), zero-intelligence-plus (ZIP) and Gjerstad-Dickhaut (GD). Computer simulations of variables based on these three agent-based models were car...

Tseng, Jie-Jun; Lin, Chih-Ting; Wang, Sun-Chong; Li, Sai-Ping; 10.1016/j.physa.2009.12.034

2010-01-01T23:59:59.000Z

246

Effects of diversification among assets in an agent-based market model  

E-Print Network (OSTI)

We extend to the multi-asset case the framework of a discrete time model of a single asset financial market developed in Ghoulmie et al (2005). In particular, we focus on adaptive agents with threshold behavior allocating their resources among two assets. We explore numerically the effect of this diversification as an additional source of complexity in the financial market and we discuss its destabilizing role. We also point out the relevance of these studies for financial decision making.

Ghoulmié, F; Mellen, C P; Di Matteo, T

2007-01-01T23:59:59.000Z

247

Highly Enriched Uranium Materials Facility, Major Design Changes...  

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

Field Sites Power Marketing Administration Other Agencies You are here Home Highly Enriched Uranium Materials Facility, Major Design Changes Late...Lessons Learned Report, NNSA,...

248

Recovery of Highly Enriched Uranium Provided to Foreign Countries...  

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

Power Marketing Administration Other Agencies You are here Home Recovery of Highly Enriched Uranium Provided to Foreign Countries, DOEIG-0638 Recovery of Highly Enriched...

249

Market Penetration Model (MPM) user's guide  

SciTech Connect

This document describes a computer program which calculates the most probable Solar Total Energy System (STES) market penetration and forecasts of energy displacement by geographic location (50 states) and by industrial application (140 industries) for seven time periods (from 1985 to 2015 in five year increments). The program is written in Fortran for the FTN compiler on The Aerospace Corporation's CDC 7600 computer. It consists of approximately 750 cards, including comments. This document contains a description of the program, its inputs and its outputs. Examples of program input and output as well as a sample deck structure are provided. A source listing appears in the appendix.

Timmer, B.R.

1979-01-04T23:59:59.000Z

250

Uranium Metal: Potential for Discovering Commercial Uses  

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

Uranium Metal Uranium Metal Potential for Discovering Commercial Uses Steven M. Baker, Ph.D. Knoxville Tn 5 August 1998 Summary Uranium Metal is a Valuable Resource 3 Large Inventory of "Depleted Uranium" 3 Need Commercial Uses for Inventory  Avoid Disposal Cost  Real Added Value to Society 3 Uranium Metal Has Valuable Properties  Density  Strength 3 Market will Come if Story is Told Background The Nature of Uranium Background 3 Natural Uranium: 99.3% U238; 0.7% U 235 3 U235 Fissile  Nuclear Weapons  Nuclear Reactors 3 U238 Fertile  Neutron Irradiation of U238 Produces Pu239  Neutrons Come From U235 Fission  Pu239 is Fissile (Weapons, Reactors, etc.) Post World War II Legacy Background 3 "Enriched" Uranium Product  Weapons Program 

251

Oil Market Simulation model: model documentation report (Task 13). Final report  

Science Conference Proceedings (OSTI)

This report documents the Oil Market Simulation (OMS) model as used by the Energy Information Administration (EIA) to provide forecasts of world oil prices. In addition, the OMS model is used to examine the market responses to changes in oil demand and supply. The current version of the model provides additional OMS simulation capabilities to its predecessor. It performs not only the price and production simulations as before, but also simulations that converge to a user-specified regional demand, supply, or import level. Free world countries are grouped into seven major oil demand regions and eight major oil supply regions. The OMS model consists of three parts: oil demand, non-OPEC oil supply, and OPEC pricing behavior. Regional oil demand in a given year is determined as a function of the average world oil price for the year, the regional level of economic activity for the year, and the oil demand in the previous year. Non-OPEC regional oil supply is specified as a function of world oil price and the regional oil supply in the previous period. OPEC pricing behavior is related to the OPEC capacity utilization rate; OPEC sets the oil price based on the percent utilization of its availabile production capacity and the world oil price in the previous time period. Besides the behavior rules of consumers, non-OPEC producers, and OPEC producers, the OMS model includes some regional demand and supply values that are determined exogenously. These user-determined demand and supply values include: (1) OPEC demand, (2) US Strategic Petroleum reserve fill rates, and (3) the net exports from Centrally Planned Economies. 19 refs., 7 figs., 10 tabs.

Not Available

1985-05-10T23:59:59.000Z

252

URANIUM ALLOYS  

DOE Patents (OSTI)

A uranium alloy is reported containing from 0.1 to 5 per cent by weight of molybdenum and from 0.1 to 5 per cent by weight of silicon, the balance being uranium.

Colbeck, E.W.

1959-12-29T23:59:59.000Z

253

Theory of agent-based market models with controlled levels of greed and anxiety  

E-Print Network (OSTI)

We use generating functional analysis to study minority-game type market models with generalized strategy valuation updates that control the psychology of agents' actions. The agents' choice between trend following and contrarian trading, and their vigor in each, depends on the overall state of the market. Even in `fake history' models, the theory now involves an effective overall bid process (coupled to the effective agent process) which can exhibit profound remanence effects and new phase transitions. For some models the bid process can be solved directly, others require Maxwell-construction type approximations.

Papadopoulos, P

2009-01-01T23:59:59.000Z

254

Geothermal Energy Market Study on the Atlantic Coastal Plain. Geothermal Energy Market penetration: development of a model for the residential sector  

SciTech Connect

A model has been developed that examines the feasibility of using geothermal technology in heating residential structures. Specific account is taken of the small contribution of new housing to the total stock in any given year and of the durability of houses and their furnaces. Both aspects constrain the penetration of geothermal energy into the residential market. After a discussion of other market penetration paradigms, a simple model of market penetration is developed that is based on the premise that homeowners will not abandon an existing furnace until its economic life is over. Next, behavioral parameters are discussed and the model is extended from 20 to 40 years. Finally, methods are discussed for collecting the needed data to determine market penetration, and ideas are proposed of ways to induce homeowners to give up economically viable furnaces to allow the firm providing the energy to reduce costs.

Goodman, A.C.

1979-09-01T23:59:59.000Z

255

The value of information in a multi-agent market model  

E-Print Network (OSTI)

We present an experimental and simulated model of a multi-agent stock market driven by a double auction order matching mechanism. Studying the effect of cumulative information on the performance of traders, we find a non monotonic relationship of net returns of traders as a function of information levels, both in the experiments and in the simulations. Particularly, averagely informed traders perform worse than the non informed and only traders with high levels of information (insiders) are able to beat the market. The simulations and the experiments reproduce many stylized facts of stock markets, such as fast decay of autocorrelation of returns, volatility clustering and fat-tailed distribution of returns. These results have an important message for everyday life. They can give a possible explanation why, on average, professional fund managers perform worse than the market index.

Tóth, B; Kirchler, M; Scalas, E; Huber, Juergen; Kirchler, Michael; Scalas, Enrico; Toth, Bence

2006-01-01T23:59:59.000Z

256

Analyzing the influence of overconfident investors on financial markets through agent-based model  

Science Conference Proceedings (OSTI)

In this research, we employ Agent-Based Model to analyze how asset prices are affected by investors' Behavior. This analysis places focus on the influence of overconfident investors on financial market. As a result of intensive analysis, we find that ... Keywords: agent based-model, asset pricing, behavioral economics, overconfidence

Hiroshi Takahashi; Takao Terano

2007-12-01T23:59:59.000Z

257

Market power and welfare effects in DC power flow electricity models with thermal line losses  

Science Conference Proceedings (OSTI)

A nodal electric power network with Cournot-Nash interaction among power generators is formulated as a mixed complementarity problem. The model incorporates a direct current (DC) power flow approximation with thermal line losses to model real-time flows. ... Keywords: Electricity markets, Imperfect competition, Thermal line losses, Welfare measurement

Rastislav Ivanic; Paul V. Preckel; Zuwei Yu

2005-10-01T23:59:59.000Z

258

Uranium immobilization and nuclear waste  

SciTech Connect

Considerable information useful in nuclear waste storage can be gained by studying the conditions of uranium ore deposit formation. Further information can be gained by comparing the chemistry of uranium to nuclear fission products and other radionuclides of concern to nuclear waste disposal. Redox state appears to be the most important variable in controlling uranium solubility, especially at near neutral pH, which is characteristic of most ground water. This is probably also true of neptunium, plutonium, and technetium. Further, redox conditions that immobilize uranium should immobilize these elements. The mechanisms that have produced uranium ore bodies in the Earth's crust are somewhat less clear. At the temperatures of hydrothermal uranium deposits, equilibrium models are probably adequate, aqueous uranium (VI) being reduced and precipitated by interaction with ferrous-iron-bearing oxides and silicates. In lower temperature roll-type uranium deposits, overall equilibrium may not have been achieved. The involvement of sulfate-reducing bacteria in ore-body formation has been postulated, but is uncertain. Reduced sulfur species do, however, appear to be involved in much of the low temperature uranium precipitation. Assessment of the possibility of uranium transport in natural ground water is complicated because the system is generally not in overall equilibrium. For this reason, Eh measurements are of limited value. If a ground water is to be capable of reducing uranium, it must contain ions capable of reducing uranium both thermodynamically and kinetically. At present, the best candidates are reduced sulfur species.

Duffy, C.J.; Ogard, A.E.

1982-02-01T23:59:59.000Z

259

The National Energy Modeling System: An Overview 2000 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition, nonutility supply and electricity trade are represented in the fuel dispatching and capacity planning submodules. Nonutility generation from cogenerators and other facilities whose primary business is not electricity generation is represented in the demand and fuel supply modules. All other nonutility generation is represented in EMM. The generation of electricity is accounted for in 15 supply regions (Figure 10), and fuel consumption is allocated to the 9 Census divisions.

260

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 "uranium market model" 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

Pyrolitic Uranium Compound (PYRUC)  

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

Pyrolitic Uranium Compound Pyrolitic Uranium Compound (PYRUC) PYRolitic Uranium Compound (PYRUC) is a shielding material consisting of depleted uranium UO2 or UC in either pellet...

262

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

263

Modeling the Long-Term Market Penetration of Wind in the United States  

DOE Green Energy (OSTI)

This paper presents an overview of the Wind Deployment Systems Model (WinDS). WinDS is a multiregional, multitime-period, Geographic Information System (GIS), and linear programming model of capacity expansion in the electric sector of the United States. WinDS is designed to address the principal market issues related to the penetration of wind energy technologies into the electric sector. These principal market issues include access to and cost of transmission, and the intermittency of wind power. WinDS addresses these issues through a highly discretized regional structure, explicit accounting for the variability in wind output over time, and consideration of ancillary services requirements and costs.

Short, W.; Blair, N.; Heimiller, D.; Singh, V.

2003-07-01T23:59:59.000Z

264

ERI-2142 07-1001 DOE - Potential Market Impact CY2011,12,13 December...  

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

Background on Nuclear Fuel Supply Markets 4 2.1. Uranium Concentrates 4 2.1.1. Uranium Market Price Activity 4 2.1.2. Uranium Requirements 6 2.1.3. Uranium Supply 6 2.1.4. Adequacy...

265

Modeling the Market Potential of Hydrogen from Wind and Competing Sources: Preprint  

DOE Green Energy (OSTI)

Developed from the Wind Deployment Systems (WinDS) model, the Hydrogen Deployment Systems (HyDS) model is a computer model of U.S. market expansion of hydrogen production from wind and other sources over the next 50 years. The WinDS model was developed in 2003 to model the expansion of generation and transmission capacity in the U.S. electric sector spanning the next 50 years. It minimizes system-wide costs of meeting loads, reserve requirements, and emission constraints by building and operating new generators and transmission in 26 two-year periods from 2000 to 2050. While it includes all major types of conventional generators, the WinDS model focuses on addressing the market issues of greatest significance to wind-specifically issues of electricity transmission and intermittency.

Short, W.; Blair, N.; Heimiller, D.

2005-05-01T23:59:59.000Z

266

Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market  

E-Print Network (OSTI)

We review Bayesian inference for dynamic latent variable models using the data augmentation principle. We detail the difficulties of simulating dynamic latent variables in a Gibbs sampler. We propose an alternative specification of the dynamic disequilibrium model which leads to a simple simulation procedure and renders Bayesian inference fully operational. Identification issues are discussed. We conduct a specification search using the posterior deviance criterion of Spiegelhalter, Best, Carlin, and van der Linde (2002) for a disequilibrium model of the Polish credit market.

Luc Bauwens; Michel Lubrano

2006-01-01T23:59:59.000Z

267

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

268

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

269

Long-Run Equilibrium Modeling of Emissions Allowance Allocation Systems in Electric Power Markets  

Science Conference Proceedings (OSTI)

Carbon dioxide allowance trading systems for electricity generators are in place in the European Union and in several U.S. states. An important question in the design of such systems is how allowances are to be initially allocated: by auction, by giving ... Keywords: Equilibrium programming, economics, electricity and emissions markets, model properties and applications

Jinye Zhao; Benjamin F. Hobbs; Jong-Shi Pang

2010-05-01T23:59:59.000Z

270

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

271

Model documentation, Coal Market Module of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

This report documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System`s (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1998 (AEO98). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS). CMM provides annual forecasts of prices, production, and consumption of coal for NEMS. In general, the CDS integrates the supply inputs from the CPS to satisfy demands for coal from exogenous demand models. The international area of the CDS forecasts annual world coal trade flows from major supply to major demand regions and provides annual forecasts of US coal exports for input to NEMS. Specifically, the CDS receives minemouth prices produced by the CPS, demand and other exogenous inputs from other NEMS components, and provides delivered coal prices and quantities to the NEMS economic sectors and regions.

NONE

1998-01-01T23:59:59.000Z

272

Biofuel-Food Market Interactions:A Review of Modeling Approaches and Findings  

Science Conference Proceedings (OSTI)

The interaction between biofuels and food markets remains a policy issue for a number of reasons. There is a continuing need to understand the role of biofuels in the recent spikes in global food prices. Also, there is an ongoing discussion of changes to biofuel policy as a means to cope with severe weather-induced crop losses. Lastly, there are potential interactions between food markets and advanced biofuels, although most of the latter are expected to be produced from non-food feedstocks. This study reviews the existing literature on the food market impacts of biofuels. Findings suggest that initial conclusions attributing most of the spike in global food prices between 2005 and 2008 to biofuels have been revised. Instead, a multitude of factors, in addition to biofuels, converged during the period. Quantitative estimates of the impacts of biofuels on food markets vary significantly due to differences in modeling approaches, geographical scope, and assumptions about a number of crucial factors. In addition, many studies do not adequately account for the effects of macroeconomic changes, adverse weather conditions and direct market interventions during the recent food price spikes when evaluating the role of biofuels.

Oladosu, Gbadebo A [ORNL; Msangi, Siwa [International Food and Policy Research Institute (IFPRI)

2013-01-01T23:59:59.000Z

273

A Plug-in Hybrid Consumer Choice Model with Detailed Market Segmentation  

DOE Green Energy (OSTI)

This paper describes a consumer choice model for projecting U.S. demand for plug-in hybrid electric vehicles (PHEV) in competition among 13 light-duty vehicle technologies over the period 2005-2050. New car buyers are disaggregated by region, residential area, attitude toward technology risk, vehicle usage intensity, home parking and work recharging. The nested multinomial logit (NMNL) model of vehicle choice incorporates daily vehicle usage distributions, refueling and recharging availability, technology learning by doing, and diversity of choice among makes and models. Illustrative results are presented for a Base Case, calibrated to the Annual Energy Outlook (AEO) 2009 Reference Updated Case, and an optimistic technology scenario reflecting achievement of U.S. Department of Energy s (DOE s) FreedomCAR goals. PHEV market success is highly dependent on the degree of technological progress assumed. PHEV sales reach one million in 2037 in the Base Case but in 2020 in the FreedomCARGoals Case. In the FreedomCARGoals Case, PHEV cumulative sales reach 1.5 million by 2015. Together with efficiency improvements in other technologies, petroleum use in 2050 is reduced by about 45% from the 2005 level. After technological progress, PHEV s market success appears to be most sensitive to recharging availability, consumers attitudes toward novel echnologies, and vehicle usage intensity. Successful market penetration of PHEVs helps bring down battery costs for electric vehicles (EVs), resulting in a significant EV market share after 2040.

Lin, Zhenhong [ORNL; Greene, David L [ORNL

2010-01-01T23:59:59.000Z

274

Insider Models with Finite Utility in Markets with Jumps  

SciTech Connect

In this article we consider, under a Levy process model for the stock price, the utility optimization problem for an insider agent whose additional information is the final price of the stock blurred with an additional independent noise which vanishes as the final time approaches. Our main interest is establishing conditions under which the utility of the insider is finite. Mathematically, the problem entails the study of a 'progressive' enlargement of filtration with respect to random measures. We study the jump structure of the process which leads to the conclusion that in most cases the utility of the insider is finite and his optimal portfolio is bounded. This can be explained financially by the high risks involved in models with jumps.

Kohatsu-Higa, Arturo, E-mail: arturokohatsu@gmail.com [Ritsumeikan University, Department of Mathematical Sciences (Japan); Yamazato, Makoto, E-mail: yamazato@math.u-ryukyu.ac.jp [University of the Ryukyus, Department of Mathematics, Faculty of Science (Japan)

2011-10-15T23:59:59.000Z

275

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

276

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

277

An interacting-agent model of financial markets from the viewpoint of Nonextensive statistical mechanics  

E-Print Network (OSTI)

In this paper we present an interacting-agent model of financial markets. We describe a financial market through an Ising model to formulate the tendency of agents getting influenced by the other agents' investment attitude [8]. We formulate the agents' decision making on investment as the {\\it minimum energy principle for Tsallis entropy [11]}, and demonstrate that the equilibrium probability distribution function of the investment attitude of interacting-agents is the {\\it q-exponential distribution}. We also show that the power-law distribution of volatility of price fluctuations, which is often demonstrated in the empirical studies [17], can be explained naturally by our model that have their origin in the collective crowd behavior of many interacting-agents.

Kaizoji, T

2006-01-01T23:59:59.000Z

278

URANIUM COMPOSITIONS  

DOE Patents (OSTI)

This patent relates to high purity uranium alloys characterized by improved stability to thermal cycling and low thermal neutron absorption. The high purity uranium alloy contains less than 0.1 per cent by weight in total amount of any ore or more of the elements such as aluminum, silicon, phosphorous, tin, lead, bismuth, niobium, and zinc.

Allen, N.P.; Grogan, J.D.

1959-05-12T23:59:59.000Z

279

Bayesian models for elevated disease risk due to exposure to uranium mine and mill waste on the Navajo Nation  

E-Print Network (OSTI)

of Pharmacy, Community Environmental Health Program Keywords: abandoned uranium mines, conditionally specified of hypertension. Keywords: abandoned uranium mines, conditionally specified logistic regression, hyperten- sion, and it is home to more than 180,000 people (US Census, 2000). There are 520 abandoned uranium mines and 5

Huerta, Gabriel

280

Domestic utility attitudes toward foreign uranium supply  

SciTech Connect

The current embargo on the enrichment of foreign-origin uranium for use in domestic utilization facilities is scheduled to be removed in 1984. The pending removal of this embargo, complicated by a depressed worldwide market for uranium, has prompted consideration of a new or extended embargo within the US Government. As part of its on-going data collection activities, Nuclear Resources International (NRI) has surveyed 50 domestic utility/utility holding companies (representing 60 lead operator-utilities) on their foreign uranium purchase strategies and intentions. The most recent survey was conducted in early May 1981. A number of qualitative observations were made during the course of the survey. The major observations are: domestic utility views toward foreign uranium purchase are dynamic; all but three utilities had some considered foreign purchase strategy; some utilities have problems with buying foreign uranium from particular countries; an inducement is often required by some utilities to buy foreign uranium; opinions varied among utilities concerning the viability of the domestic uranium industry; and many utilities could have foreign uranium fed through their domestic uranium contracts (indirect purchases). The above observations are expanded in the final section of the report. However, it should be noted that two of the observations are particularly important and should be seriously considered in formulation of foreign uranium import restrictions. These important observations are the dynamic nature of the subject matter and the potentially large and imbalanced effect the indirect purchases could have on utility foreign uranium procurement.

1981-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

Predictive geochemical modeling of interactions between uranium-mill-tailings solutions and sediments in a flow-through system: model formulations and preliminary results  

Science Conference Proceedings (OSTI)

An equilibrium thermodynamic conceptual model consisting of minerals and solid phases was developed to represent a soil column. A computer program was used as a tool to solve the system of mathematical equations imposed by the conceptual chemical model. The combined conceptual model and computer program were used to predict aqueous phase compositions of effluent solutions from permeability cells packed with geologic materials and percolated with uranium mill tailings solutions. Initial calculations of ion speciation and mineral solubility and our understanding of the chemical processes occurring in the modeled system were used to select solid phases for inclusion in the conceptual model. The modeling predictions were compared to the analytically determined column effluent concentrations. Hypotheses were formed, based on modeling predictions and laboratory evaluations, as to the probable mechanisms controlling the migration of selected contaminants. An assemblage of minerals and other solid phases could be used to predict the concentrations of several of the macro constituents (e.g., Ca, SO/sub 4/, Al, Fe, and Mn) but could not be used to predict trace element concentrations. These modeling conclusions are applicable to situations where uranium mill tailings solutions of low pH and high total dissolved solids encounter either clay liners or natural geologic materials that contain inherent acid neutralizing capacities. 116 references, 22 figures, 6 tables.

Peterson, S.R.; Felmy, A.R.; Serne, R.J.; Gee, G.W.

1983-08-01T23:59:59.000Z

282

Electricity Markets  

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

Electricity Markets Electricity Markets Researchers in the electricity markets area conduct technical, economic, and policy analysis of energy topics centered on the U.S. electricity sector. Current research seeks to inform public and private decision-making on public-interest issues related to energy efficiency and demand response, renewable energy, electricity resource and transmission planning, electricity reliability and distributed generation resources. Research is conducted in the following areas: Energy efficiency research focused on portfolio planning and market assessment, design and implementation of a portfolio of energy efficiency programs that achieve various policy objectives, utility sector energy efficiency business models, options for administering energy efficiency

283

World uranium supply and demand: Buyer`s banquet?  

Science Conference Proceedings (OSTI)

This articule reviews the present (end of 1993) world-wide uranium market and attempts to focus on the 1994-2004 market. Market forces discussed include: (1) reactor uranium demand, (2) natural uranium production (3) utility inventory drawdown, (4) reprocessing products, (5) the Russian stockpile, (6) loans, and (7) inventories of HEU. The following conclusions were reached: (1) reactor demand will be satisfied during this period, (2) Russia could be the single most important influence on the world uranium market, (3) there would be no need for new mine development is the Russian material is allowed into the market, and (4) the market will be in oversupply, so price increases will be limited.

NONE

1994-08-01T23:59:59.000Z

284

Depleted Uranium and Uranium Alloys  

Science Conference Proceedings (OSTI)

...Naturally occurring uranium makes up 0.0004% of the crust of the Earth; it is 40 times more plentiful than silver, and 800 times more plentiful than gold. Natural uranium contains approximately 0.7% fissionable U 235 and 99.3%

285

Review of Uranium Hydriding and Dehydriding Rate Models in GOTH_SNF for Spent Fuel MCO Calculations  

DOE Green Energy (OSTI)

The present report is one of a series of three. The series provides an independent technical review of certain aspects of the GOTH_SNF code that is used for accident analysis of the multicanister overpack (MCO) that is proposed for permanent storage of spent nuclear fuel in the planned repository at Yucca Mountain, Nevada. The work documented in the present report and its two companions was done under the auspices of the National Spent Nuclear Fuel Program. The other reports in the series are DOE/SNF/REP-087 and DOE/SNF/REP-088. This report analyzes the model for uranium hydriding and dissociation of the hydride that was documented in the SNF report titled MCO Work Book GOTH_SNF Input Data.1 Reference 1 used a single expression from a model by Bloch and Mintz for both the uranium hydriding and dehydriding reactions. This report compares the results of the GOTH_SNF expression for both phenomena with those from the models proposed by J. B. Condon and further developed by Condon and J. R. Kirkpatrick. The expression for the uranium hydriding rate used in GOTH_SNF (from the model of Bloch and Mintz) gives consistently lower values than those from the models of Condon and Kirkpatrick. This is true for all hydrogen pressures and for all temperatures. For a hydrogen pressure of 1 atm, the hydriding rates given by the models of Condon and Kirkpatrick are zero by the time the temperature reaches 400°C. That is, the term representing the dehydriding reaction has become large enough to overwhelm the term representing the hydriding reaction. The same is true for the expression used in GOTH_SNF. For lower hydrogen pressures, the hydriding rates reach zero at even lower temperatures for the Bloch and Mintz model and also for the Condon and Kirkpatrick models. Uranium dehydriding rates can be calculated for temperatures as high as 2,000°C. The dehydriding rates from GOTH_SNF contain an assumption that there is a 0.22 psia hydrogen pressure in the atmosphere surrounding the hydride. For temperatures >~700°C, the expression from GOTH_SNF (the model of Bloch and Mintz) gives higher dehydriding rates than that from Condon. However, in calculations of MCOs using GOTH_SNF, the dehydriding is complete by ~400°C so that rates for temperatures higher than that are not relevant. In the temperature range 275–400°C, the dehydriding rate from the Condon model is much higher than that from GOTH_SNF. The practical consequences of the differences in hydriding and dehydriding rates are not obvious. A way to evaluate the consequences is to repeat an important MCO calculation on GOTH_SNF using hydriding and dehydriding rates that have been artificially modified to be closer to those given by the expressions of Condon and Kirkpatrick and see if the conclusions about the safety of the MCO are changed.

John R. Kirkpatrick; Chris A. Dahl

2003-09-01T23:59:59.000Z

286

Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input  

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

Updated U.S. Geothermal Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input C. Augustine Technical Report NREL/TP-6A20-47459 October 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input C. Augustine Prepared under Task No. GT09.3002 Technical Report NREL/TP-6A20-47459 October 2011 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

287

Exact Solution of a Model for Crowding and Information Transmission in Financial Markets  

E-Print Network (OSTI)

An exact solution is presented to a model that mimics the crowding effect in financial markets which arises when groups of agents share information. We show that the size distribution of groups of agents has a power law tail with an exponential cut-off. As the size of these groups determines the supply and demand balance, this implies heavy tails in the distribution of price variation. The moments of the distribution are calculated, as well as the kurtosis. We find that the kurtosis is large for all model parameter values and that the model is not self-organizing.

R. D'hulst; G. J. Rodgers

1999-08-31T23:59:59.000Z

288

Commercial nuclear and uranium market forecasts for the United States and the world outside communist areas. Analysis report AR/ES/80-02  

SciTech Connect

Nuclear power forecasts prepared by the Energy Information Administration (EIA) of the United States Department of Energy are presented. The domestic forecasts from the EIA Annual Report to Congress for 1978 (published in July 1979) are detailed for the two time frames considered in the EIA analytical hierarchy: the midterm, encompassing the 1985, 1990, and 1995 milestones and the long term, beyond 1995 to the year 2020. EIA nuclear forecasts for the balance of nations in the World Outside Communist Areas (WOCA) are also presented through the year 2000. In turn, an assessment is made of the uranium consumption requirements implied by both the domestic and WOCA nuclear power forecasts. A discussion is included of appropriate fuel cycle assumptions, sensitivities, and price projections.

Clark, R.G.; Reynolds, A.W.

1980-01-01T23:59:59.000Z

289

Reaction-based Transport Modeling of Iron Reduction and Uranium Immobilization at Area 2 of the NABIR Field Research Center  

Science Conference Proceedings (OSTI)

This research sought to examine biogeochemical processes likely to take place in the less conductive materials above and below the gravel during the in situ ethanol biostimulation experiment conducted at Area 2 during 2005-2006. The in situ experiment in turn examined the hypothesis that injection of electron donor into this layer would induce formation of a redox barrier in the less conductive materials, resulting in decreased mass transfer of uranium out these materials and attendant declines in groundwater U(VI) concentration. Our project focuses on the development of a mechanistic understanding and quantitative models of coupled Fe(III)/U(VI) reduction in FRC Area 2 sediments. This report summarizes research activities conducted at The University of Central Florida (2004-2007), the development of biogeochemical and reactive transport models and the conduction of numerical simulations at laboratory, column, and field scales.

Tsyh Yeh, Gour

2007-12-21T23:59:59.000Z

290

Field and modeling study of windblown particles from a uranium mill tailings pile  

SciTech Connect

An extensive field study whose primary objective was to obtain knowledge and understanding of the nature and quantity of windblown particles from uranium mill tailings piles was conducted in the Ambrosia Lake District of New Mexico. The following major field tasks were undertaken: determination of physical, chemical, and radioactivity characteristics of mill tailings particles; an investigation of the nature and quantity of tailings particles in soil in the vicinity of tailings piles; and the determination of the nature and flux of particles being transported by wind as a function of wind speed and height. Results of the field study are presented. Particle size distributions and associated radioactivity were measured.

Schwendiman, L.C.; Sehmel, G.A.; Horst, T.W.; Thomas, C.W.; Perkins, R.W.

1980-06-01T23:59:59.000Z

291

Quantification of the Potential Impact on Commercial Markets...  

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

Services Component of DOE Low Enriched Uranium Inventory During Calendar Year 2013 Quantification of the Potential Impact on Commercial Markets of Introduction of the...

292

Estimating market penetration of new district heating and cooling systems using a combination of economic cost and diffusion models  

SciTech Connect

The economic-cost model and the diffusion model are among the many market-penetration forecasting approaches that are available. These approaches have been used separately in many applications. In this paper, the authors briefly review these two approaches and then describe a methodology for forecasting market penetration using both approaches sequentially. This methodology is illustrated with the example of market-penetration forecasting of new district heating and cooling (DHC) systems in the Argonne DHC Market Penetration Model, which was developed and used over the period 1979--1983. This paper discusses how this combination approach, which incorporates the strengths of the economic-cost and diffusion models, has been superior to any one approach for market forecasts of DHC systems. Also discussed are the required modifications for revising and updating the model in order to generate new market-penetration forecasts for DHC systems. These modifications are required as a result of changes in DHC engineering, economic, and market data from 1983 to 1990. 13 refs., 5 figs., 2 tabs.

Teotia, A.P.S.; Karvelas, D.E.

1991-05-10T23:59:59.000Z

293

Computational Modeling of Uranium Corrosion and the role of Impurities(Fe, Cr, Al, C and Si)  

DOE Green Energy (OSTI)

My talk will focus on our recent computational modeling results of uranium corrosion and the impact of impurities on uranium corrosion, which occurs primarily through hydriding Uranium hydriding is one of the most important processes that has received considerable attention over many years. Although significant number of experimental and modeling studies have been carried out concerning thermo chemistry, diffusion kinetics and mechanisms of U-hydriding, very little is known about the electronic structure and electronic features that govern the U-hydriding process. Our modeling efforts focus the electronic feature that controls the activation barrier and thus the rate of hydriding. Our recent efforts have been focused on the role of impurities such as Fe, Cr, Si, C, Al and so on. Moreover the role of impurities and the role of the product UH{sub 3} on hydriding rating have not been fully understood. Condon's diffusion model was found to be in excellent agreement with the experimental reaction rates. From the slopes of the Arrhenius plot the activation energy was calculated as 6.35 kcal/mole. Bloch and Mintz have discussed two models, one, which considers hydrogen diffusion through a protective UH{sub 3} product layer, and the second where hydride growth occurs at the hydride-metal interface. These authors obtained two-dimensional fits of experimental data to the pressure-temperature reactions. Powell et al. have studied U-hydriding in ultrahigh vacuum and obtained the linear rate data over a wide range of temperatures and pressures. They found reversible hydrogen sorption on the UH{sub 3} reaction product from kinetic effects at 21 C. This demonstrates restarting of the hydriding process in the presence of UH{sub 3} reaction product. DeMint and Leckey have shown that Si impurities dramatically accelerate the U-hydriding rates. We report our recent results of relativistic computations that vary from complete active space multi-configuration interaction (CAS-MCSCF) followed by multi-reference configuration interaction (MRSDCI) computations that included up to 60 million configurations for modeling of uranium-hydriding with cluster models will be presented. Our computed potential energy surface for the insertion of a U site into H{sub 2} reveals that pure U site has to surpass a barrier of 20.9 kcal/mole for the U-hydriding. Once the barrier is surpassed a stable product is formed which is 22.4 kcal/mole more stable than the reactants. We have also developed a computational model to study the role of the UH{sub 3} product and other impurities such as Fe, Cr, Si, C, Al, etc., on the uranium hydriding reaction. Our model reveals that the product UH{sub 3} is highly ionic and thus U transfers electron density to the three hydrogens resulting in a U{sup +3} state. U{sup +3} is shown to insert into H{sub 2} spontaneously thus demonstrating the U-site in the product UH{sub 3} binds to H{sub 2} spontaneously forming a complex in which H{sub 2} is separated far enough so as to cause liberation of H atoms in the presence of U. Our computed potential energy surfaces reveal a 21 kcal/mole activation energy barrier for pure U reaction with H{sub 2}. However, the presence of the product UH{sub 3} catalyzes the U-hydriding. We have also modeled the presence of Si impurities for the U-hydriding reaction to show that the activation barrier is lowered by the presence of Si. However carbon impurity does not influence the hydriding process. Our computations reveal an electron donor-acceptor model for the U-hydriding, where H{sub 2} exchanges electronic density from its occupied 1{sigma}{sub g} orbital to the U(6d {sigma}) orbital and back donation from the U(6d {pi}) orbital back to H{sub 2} 1{sigma}{sub u} antibonding orbital. As seen from the figures shown below our recent works show that elemental impurities such as Al do not have impact on hydriding, elements such as Fe and Cr have small impact while the elemental carbon inhibits corrosion through the formation of ionic uranium carbide species.

Balasubramanian, K; Sikehaus, W; Balazs, B; Mclean II, W

2005-10-31T23:59:59.000Z

294

Nuclear & Uranium  

U.S. Energy Information Administration (EIA)

Table 21. Foreign sales of uranium from U.S. suppliers and owners and operators of U.S. civilian nuclear power reactors by origin and delivery year, 2008-2012

295

MODELLING THE ROLE OF TRADING COMPANIES IN THE DOWNSTREAM EUROPEAN GAS MARKET: A SUCCESSIVE OLIGOPOLY APPROACH  

E-Print Network (OSTI)

A model of successive oligopoly is used to analyse the European natural gas market, focusing on the role of trading companies and their interaction with gas producers. Producers of natural gas are assumed to form an oligopoly, while downstream within-country traders of gas can be represented either as local oligopolists or perfect competitors. The model therefore has a two-level structure, in which producers engage in competition a la Cournot, and each producer is a Stackelberg leader with respect to traders, who may be Cournot oligopolists or perfect competitors. Several conclusions emerge. First, successive oligopoly (so-called "double marginalisation") yields higher prices and lower consumer welfare than if oligopoly exists only on one level. Second, due to the high concentration of traders, oligopoly in the trading market distorts prices more than oligopoly in production. Third, trader profits depends on whether producers can price discriminate among consuming sectors. If such price discrimination is possible, producers collect a greater share of the margins on end-use prices. Finally, when the number of traders increases, end-use prices approach competitive levels. Thus, it is important to prevent monopolistic structures in the downstream gas market. In the case where oligopolistic trading

Maroeska G. Boots; Fieke A. M. Rijkers; Benjamin F. Hobbs

2003-01-01T23:59:59.000Z

296

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

297

Efficiency of appliance models on the market before and after DOE standards  

Science Conference Proceedings (OSTI)

Energy efficiency standards for appliances mandate that appliance manufacturers not manufacture or import models that have a test energy efficiency below a specified level after the standard effective date. Thus, appliance standards set a floor for energy efficiency. But do they also induce more significant changes in the efficiencies that manufacturers offer after the standard becomes effective? To address this question, we undertook an examination of before-standard and after-standard efficiency of models on the market for three products: (1) Refrigerators (1990, 1993, and 2001 standards); (2) Room air conditioners (1990 and 2000 standards); and (3) Gas furnaces (1992 standard).

Meyers, Stephen

2004-06-15T23:59:59.000Z

298

Estimating the Market Penetration of Residential Cool Storage Technology Using Economic Cost Modeling  

E-Print Network (OSTI)

This study estimated the market penetration for residential cool storage technology using economic cost modeling. Residential cool storage units produce and store chill during off-peak periods of the day to be used during times of peak electric power needs. This paper provides projections of unit sales expected in 5-year intervals for the years 1995, 2000, 2005, and 2010, Such projections help to determine the maximum amount o f energy that could be displaced by this technology in the future. This study also found that price incentives offered to households must be varied dramatically by region for residential cool storage systems to be economically competitive relative to conventional systems. Under the most likely scenario, this analysis estimated that residential cool storage units will eventually capture about one-half of the central air conditioning (A/C) market.

Weijo, R. O.; and Brown, D. R.

1988-01-01T23:59:59.000Z

299

Estimating the market penetration of residential cool storage technology using economic cost modeling  

DOE Green Energy (OSTI)

This study estimated the market penetration for residential cool storage technology using economic cost modeling. Residential cool storage units produce and store chill during off-peak periods of the day to be used during times of peak electric power needs. This paper provides projections of unit sales expected in 5-year intervals for the years 1995, 2000, 2005, and 2010. Such projections help to determine the maximum amount of energy that could be displaced by this technology in the future. This study also found that price incentives offered to households must be varied dramatically by region for residential cool storage systems to be economically competitive relative to conventional systems. Under the most likely scenario, this analysis estimated that residential cool storage units will eventually capture about one-half of the central air conditioning (A/C) market. 14 refs., 2 figs., 8 tabs.

Weijo, R.O.; Brown, D.R.

1988-06-01T23:59:59.000Z

300

Analysis of market penetration scenarios of clean coal technologies in China using the LLNL China Energy Model  

SciTech Connect

This paper presents the results of an analysis of the market penetration of Clean Coal Technologies in the electric utility market in China. The analysis is based on a model of the Chinese energy system developed at Lawrence Livermore National Laboratory. Under this model, the market penetration of a technology depends on the relative prices of all technologies in a market. The model assumes that for each technology there is a distribution of effective prices to the consumers in the market place. The prices for each technology computed in the model are assumed to be the means of these distributions: sometime the effective price is greater than this and sometimes it is less. Thus even a relatively expensive technology may cost less than its competitors in a fraction of the transactions. Using several scenarios about the possible dispersion of prices, we estimate the market share of CCTs over the next 50 years. We find that some CCTs penetrate under all scenarios, but the more expensive ones only show significant penetration when larger values of price dispersion are assumed. Generally the penetration of the CCTs is 15% or less of the market by 2020. However, advanced pulverized coal does exceed 15% in some cases.

Lamont, A

1998-08-17T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

What is Depleted Uranium?  

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

What is Uranium? What is Uranium? Uranium and Its Compounds line line What is Uranium? Chemical Forms of Uranium Properties of Uranium Compounds Radioactivity and Radiation Uranium Health Effects What is Uranium? Physical and chemical properties, origin, and uses of uranium. Properties of Uranium Uranium is a radioactive element that occurs naturally in varying but small amounts in soil, rocks, water, plants, animals and all human beings. It is the heaviest naturally occurring element, with an atomic number of 92. In its pure form, uranium is a silver-colored heavy metal that is nearly twice as dense as lead. In nature, uranium atoms exist as several isotopes, which are identified by the total number of protons and neutrons in the nucleus: uranium-238, uranium-235, and uranium-234. (Isotopes of an element have the

302

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

303

Model documentation coal market module of the National Energy Modeling System  

SciTech Connect

This report documents the approaches used in developing the Annual Energy Outlook 1995 (AEO95). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of the coal market module`s three submodules. These are the Coal Production Submodule (CPS), the Coal Export Submodule (CES), the Coal Expert Submodule (CES), and the Coal Distribution Submodule (CDS).

1995-03-01T23:59:59.000Z

304

URANIUM IN ALKALINE ROCKS  

E-Print Network (OSTI)

combine to indicate uranium enrichment of an alkaline magma.uranium, the Ilfmaussaq intrusion contains an unusually high enrichment

Murphy, M.

2011-01-01T23:59:59.000Z

305

Agent-based modeling of zapping behavior of viewers, television commercial allocation, and advertisement markets  

E-Print Network (OSTI)

We propose a simple probabilistic model of zapping behavior of television viewers. Our model might be regarded as a `theoretical platform' to investigate the human collective behavior in the macroscopic scale through the zapping action of each viewer at the microscopic level. The stochastic process of audience measurements as macroscopic quantities such as television program rating point or the so-called gross rating point (GRP for short) are reconstructed using the microscopic modeling of each viewer's decision making. Assuming that each viewer decides the television station to watch by means of three factors, namely, physical constraints on television controllers, exogenous information such as advertisement of program by television station, and endogenous information given by `word-of-mouth communication' through the past market history, we shall construct an aggregation probability of Gibbs-Boltzmann-type with the energy function. We discuss the possibility for the ingredients of the model system to exhibi...

Kyan, Hiroyuki

2013-01-01T23:59:59.000Z

306

Solubility measurement of uranium in uranium-contaminated soils  

SciTech Connect

A short-term equilibration study involving two uranium-contaminated soils at the Fernald site was conducted as part of the In Situ Remediation Integrated Program. The goal of this study is to predict the behavior of uranium during on-site remediation of these soils. Geochemical modeling was performed on the aqueous species dissolved from these soils following the equilibration study to predict the on-site uranium leaching and transport processes. The soluble levels of total uranium, calcium, magnesium, and carbonate increased continually for the first four weeks. After the first four weeks, these components either reached a steady-state equilibrium or continued linearity throughout the study. Aluminum, potassium, and iron, reached a steady-state concentration within three days. Silica levels approximated the predicted solubility of quartz throughout the study. A much higher level of dissolved uranium was observed in the soil contaminated from spillage of uranium-laden solvents and process effluents than in the soil contaminated from settling of airborne uranium particles ejected from the nearby incinerator. The high levels observed for soluble calcium, magnesium, and bicarbonate are probably the result of magnesium and/or calcium carbonate minerals dissolving in these soils. Geochemical modeling confirms that the uranyl-carbonate complexes are the most stable and dominant in these solutions. The use of carbonate minerals on these soils for erosion control and road construction activities contributes to the leaching of uranium from contaminated soil particles. Dissolved carbonates promote uranium solubility, forming highly mobile anionic species. Mobile uranium species are contaminating the groundwater underlying these soils. The development of a site-specific remediation technology is urgently needed for the FEMP site.

Lee, S.Y.; Elless, M.; Hoffman, F.

1993-08-01T23:59:59.000Z

307

Uranium Mining and Enrichment  

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

Overview Presentation » Uranium Mining and Enrichment Overview Presentation » Uranium Mining and Enrichment Uranium Mining and Enrichment Uranium is a radioactive element that occurs naturally in the earth's surface. Uranium is used as a fuel for nuclear reactors. Uranium-bearing ores are mined, and the uranium is processed to make reactor fuel. In nature, uranium atoms exist in several forms called isotopes - primarily uranium-238, or U-238, and uranium-235, or U-235. In a typical sample of natural uranium, most of the mass (99.3%) would consist of atoms of U-238, and a very small portion of the total mass (0.7%) would consist of atoms of U-235. Uranium Isotopes Isotopes of Uranium Using uranium as a fuel in the types of nuclear reactors common in the United States requires that the uranium be enriched so that the percentage of U-235 is increased, typically to 3 to 5%.

308

A System Dynamics Study of Uranium and the Nuclear Fuel Cycle  

E-Print Network (OSTI)

market modelling’. Energy Economics, Vol. 33, Issue 5, pp. 840–852. Kiani, B., Mirzamohammadi, S., Hosseini, S.H. (2010). ‘A Survey on the Role of System Dynamics Methodology on Fossil Fuel Resources Analysis’. International Business Research, Vol... A System Dynamics Study of Uranium and the Nuclear Fuel Cycle Matthew Rooney, William J. Nuttall and Nikolas Kazantzis May 2013 CWPE 1319 & EPRG 1311 www.eprg.group.cam.ac.uk A System Dynamics...

Rooney, Matthew; Nuttall, William J.; Kazantzis, Nikolas

2013-05-31T23:59:59.000Z

309

Forecasting the Market Penetration of Energy Conservation Technologies: The Decision Criteria for Choosing a Forecasting Model  

E-Print Network (OSTI)

An important determinant of our energy future is the rate at which energy conservation technologies, once developed, are put into use. At Synergic Resources Corporation, we have adapted and applied a methodology to forecast the use of conservation technologies. This paper briefly discusses the observed patterns of the diffusion of new' technologies and the determinants (both sociological and economic) which have been proposed to explain the variation in the diffusion rates. Existing market penetration models are reviewed and their capability to forecast the use of conservation technologies is assessed using a set of criteria developed for this purpose. The reasoning behind the choice of criteria is discussed. The criteria includes the range of hypothesized influences to market penetration that are incorporated into the models and the applicability of the available parameter estimates. The attributes of our methodology and forecasting model choice (a behavioral lag equation developed by Mathtech, Inc.), are displayed using a list of the judgment criteria. This method was used to forecast the use of electricity conservation technologies in industries located in the Pacific Northwest for the Bonneville Power Administration.

Lang, K.

1982-01-01T23:59:59.000Z

310

The End of Cheap Uranium  

E-Print Network (OSTI)

Historic data from many countries demonstrate that on average no more than 50-70% of the uranium in a deposit could be mined. An analysis of more recent data from Canada and Australia leads to a mining model with an average deposit extraction lifetime of 10+- 2 years. This simple model provides an accurate description of the extractable amount of uranium for the recent mining operations. Using this model for all larger existing and planned uranium mines up to 2030, a global uranium mining peak of at most 58 +- 4 ktons around the year 2015 is obtained. Thereafter we predict that uranium mine production will decline to at most 54 +- 5 ktons by 2025 and, with the decline steepening, to at most 41 +- 5 ktons around 2030. This amount will not be sufficient to fuel the existing and planned nuclear power plants during the next 10-20 years. In fact, we find that it will be difficult to avoid supply shortages even under a slow 1%/year worldwide nuclear energy phase-out scenario up to 2025. We thus suggest that a worldwide nuclear energy phase-out is in order. If such a slow global phase-out is not voluntarily effected, the end of the present cheap uranium supply situation will be unavoidable. The result will be that some countries will simply be unable to afford sufficient uranium fuel at that point, which implies involuntary and perhaps chaotic nuclear phase-outs in those countries involving brownouts, blackouts, and worse.

Michael Dittmar

2011-06-18T23:59:59.000Z

311

Uranium (U)  

Science Conference Proceedings (OSTI)

Table 63   Properties of unstable uranium isotopes with α-particle emission...Table 63 Properties of unstable uranium isotopes with α-particle emission Isotope Abundance, % Half-life ( t 1/2 ), years Energy, MeV 234 U 0.0055 2.47 � 10 5 4.77, 4.72, 4.58, 4.47, 235 U 0.720 7.1 � 10 6 4.40, 4.2 238 U 99.274 4.51 � 10 9 4.18...

312

ORCED: A model to simulate the operations and costs of bulk-power markets  

SciTech Connect

Dramatic changes in the structure and operation of US bulk-power markets require new analytical tools. The authors developed the Oak Ridge Competitive Electricity Dispatch (ORCED) model to analyze a variety of public-policy issues related to the many changes underway in the US electricity industry. Such issues include: policy and technology options to reduce carbon emissions from electricity production; the effects of electricity trading between high- and low-cost regions on consumers and producers in both regions; the ability of the owners of certain generating units to exercise market power as functions of the transmission link between two regions and the characteristics of the generating units and loads in each region; and the market penetration of new energy-production and energy-use technologies and the effects of their adoption on fuel use, electricity use and costs, and carbon emissions. ORCED treats two electrical systems connected by a single transmission link ORCED uses two load-duration curves to represent the time-varying electricity consumption in each region. The two curves represent peak and offpeak seasons. User specification of demand elasticities permits ORCED to estimate the effects of changes in electricity price, both overall and hour by hour, on overall electricity use and load shapes. ORCED represents the electricity supply in each region with 26 generating units. The two regions are connected by a single transmission link. This link is characterized by its capacity (MW), cost ({cents}/kWh), and losses (%). This report explains the inputs to, outputs from, and operation of ORCED. It also presents four examples showing applications of the model to various public-policy issues related to restructuring of the US electricity industry.

Hadley, S.; Hirst, E.

1998-06-01T23:59:59.000Z

313

Uranium: Prices, rise, then fall  

SciTech Connect

Uranium prices hit eight-year highs in both market tiers, $16.60/lb U{sub 3}O{sub 8} for non-former Soviet Union (FSU) origin and $15.50 for FSU origin during mid 1996. However, they declined to $14.70 and $13.90, respectively, by the end of the year. Increased uranium prices continue to encourage new production and restarts of production facilities presently on standby. Australia scrapped its {open_quotes}three-mine{close_quotes} policy following the ouster of the Labor party in a March election. The move opens the way for increasing competition with Canada`s low-cost producers. Other events in the industry during 1996 that have current or potential impacts on the market include: approval of legislation outlining the ground rules for privatization of the US Enrichment Corp. (USEC) and the subsequent sales of converted Russian highly enriched uranium (HEU) from its nuclear weapons program, announcement of sales plans for converted US HEU and other surplus material through either the Department of Energy or USEC, and continuation of quotas for uranium from the FSU in the United States and Europe. In Canada, permitting activities continued on the Cigar Lake and McArthur River projects; and construction commenced on the McClean Lake mill.

Pool, T.C.

1997-03-01T23:59:59.000Z

314

Quantification of the Potential Impact on Commercial Markets of DOE's  

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

Quantification of the Potential Impact on Commercial Markets of Quantification of the Potential Impact on Commercial Markets of DOE's Transfer of Natural Uranium Hexaflouride During Calendar Years 2011, 2012, and 2013 Quantification of the Potential Impact on Commercial Markets of DOE's Transfer of Natural Uranium Hexaflouride During Calendar Years 2011, 2012, and 2013 Quantification of the Potential Impact on Commercial Markets of DOE's Transfer of Natural Uranium Hexaflouride During Calendar Years 2011, 2012, and 2013 4.6_ERI_2142_07_1001_DOE_Potential_Market_Impact_Dec2010.pdf More Documents & Publications Quantification of the Potential Impact on Commercial Markets of DOE's Transfer of Natural Uranium Hexaflouride During Calendar Years 2011, 2012 and 2013 Quantification of the Potential Impact on Commercial Markets of

315

Quantification of the Potential Impact on Commercial Markets of DOE's  

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

Quantification of the Potential Impact on Commercial Markets of Quantification of the Potential Impact on Commercial Markets of DOE's Transfer of Natural Uranium Hexaflouride During Calendar Years 2011, 2012 and 2013 Quantification of the Potential Impact on Commercial Markets of DOE's Transfer of Natural Uranium Hexaflouride During Calendar Years 2011, 2012 and 2013 A stuy of the potential impact of commerical markets of the Department of Energy's authoriziaton of uranium transfers to fund accelerated cleanup activities at the Portsmouth Site in Piketon, Ohio ERI_2142_07_1001_DOE_Potential_Market_Impact_Dec2010.pdf More Documents & Publications Quantification of the Potential Impact on Commercial Markets of DOE's Transfer of Natural Uranium Hexaflouride During Calendar Years 2011, 2012, and 2013 Quantification of the Potential Impact on Commercial Markets of

316

Uranium-234  

SciTech Connect

Translation of Uran-234 by J. Sehmorak. The following subjects are discussed: /sup 234/U and other natural radioactive isotopes, fractionation of heavy radioactive elements in nature, fractionation of radioactive isotopes, /sup 234/U in nuclear geochemistry, /sup 234/U in uranium minerals, /sup 234/U in continental waters and in quaternary deposits, and /sup 234/U in the ocean. (LK)

Cherdyntsev, V.V.

1971-01-01T23:59:59.000Z

317

Institute sees possible uranium supply shortages after 2000  

SciTech Connect

This paper describes factors pertaining to the supply and demand for uranium. Forecasts described in a report titled {open_quotes}The Global Nuclear Fuel Market: Supply and Demand 1995-2015{close_quotes} are discussed.

Newman, P.

1996-09-10T23:59:59.000Z

318

Depleted Uranium Health Effects  

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

Depleted Uranium Health Effects Depleted Uranium Health Effects Depleted Uranium line line Uranium Enrichment Depleted Uranium Health Effects Depleted Uranium Health Effects Discussion of health effects of external exposure, ingestion, and inhalation of depleted uranium. Depleted uranium is not a significant health hazard unless it is taken into the body. External exposure to radiation from depleted uranium is generally not a major concern because the alpha particles emitted by its isotopes travel only a few centimeters in air or can be stopped by a sheet of paper. Also, the uranium-235 that remains in depleted uranium emits only a small amount of low-energy gamma radiation. However, if allowed to enter the body, depleted uranium, like natural uranium, has the potential for both chemical and radiological toxicity with the two important target organs

319

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

320

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

Note: This page contains sample records for the topic "uranium market model" 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)

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

322

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

323

Modeling the competitive market efficiency of Egyptian companies: A probabilistic neural network analysis  

Science Conference Proceedings (OSTI)

Understanding efficiency levels is crucial for understanding the competitive structure of a market and/or segments of a market. This study uses two artificial neural networks (NN) and a traditional statistical classification method to classify the relative ... Keywords: Data envelopment analysis, Discriminant analysis, Market efficiency, Probabilistic neural networks

Mohamed M. Mostafa

2009-07-01T23:59:59.000Z

324

Constructing a market domain model for start-up software technology companies: A case study  

Science Conference Proceedings (OSTI)

The market for a complex technology product is sometimes called reference business because references are emphasized by corporate customers. A first customer reference is especially important for a start-up technology company attempting to enter the ... Keywords: First reference customer, High technology markets, M13 - New Firms, M31 - Marketing, Start-up software company, Startups

Jari Ruokolainen; Markus M. Mäkelä

2007-09-01T23:59:59.000Z

325

A forecasting model of tourist arrivals from major markets to Thailand  

E-Print Network (OSTI)

International tourism is a rapidly growing phenomenon hics. worldwide. However, the East Asia and Pacific Region is expected to be the focus of the worldwide tourism industry in the new millennium because tourist arrivals and receipts registered a growth about twice the rates of industrialized countries in the last decade. The tourism industry has become a powerful engine for economic development and a major foreign exchange generator. With such growth and increased competition, it is vitally important to forecast tourism demand in the region and understand the factors affecting demand. Considering the national importance of tourism, Thailand was chosen as the destination country with nine major markets as the countries of origin. A model was developed for each country to forecast tourism demand from that market. Multiple regression analysis was applied over time series data. The empirical results suggest that independent variables, such as income level in the country of origin, prices of tourism goods in the destination country, currency exchange rate between the origin and destination country, and rooms supply in destination, do affect tourism demand. Qualitative factors, represented by dummy variables, namely special promotional program and political unrest, show slight impact on demand. The study reveals that there are differences in the relative impacts of variables among the tourist generating countries. Thus, country-specific forecasting models and strategies must be formulated to reflect the uniqueness of each country of origin. Furthermore, forecasting techniques should include more qualitative factors to better asses their impacts on tourism demand. For future research, it is suggested that the models developed be updated regularly to reflect changes in the selected independent variables. Surveys and studies dealing with consumer motivation should be carried out to understand more about the tourists themselves and how they select particular destinations and types of tourism. Finally, in order to take advantage of modern technologies, the Internet is suggested as a tool to promote tourism.

Hao, Ching

1998-01-01T23:59:59.000Z

326

Duopoly electricity markets with accurate and inaccurate market goals  

Science Conference Proceedings (OSTI)

Electricity markets are complex systems due to their deregulation and restructuring. We develop an agent-based simulation model for a stylized electricity pool market and simulate the market as a repeated game. An online hill climbing with adjustment ...

Zhi Zhou; Wai Kin Victor Chan; Joe H. Chow; Serhiy Kotsan

2009-12-01T23:59:59.000Z

327

Properties of Uranium Compounds  

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

Triuranium Octaoxide (U3O8) Uranium Dioxide (UO2) Uranium Tetrafluoride (U4) Uranyl Fluoride (UO2F2) The physical properties of the pertinent chemical forms of uranium are...

328

Uranium Quick Facts  

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

Uranium Quick Facts Uranium Quick Facts A collection of facts about uranium, DUF6, and DOEs DUF6 inventory. Over the years, the Department of Energy has received numerous...

329

PREPARATION OF URANIUM MONOSULFIDE  

DOE Patents (OSTI)

A process is given for preparing uranium monosulfide from uranium tetrafluoride dissolved in molten alkali metal chloride. A hydrogen-hydrogen sulfide gas mixture passed through the solution precipitates uranium monosulfide. (AEC)

Yoshioka, K.

1964-01-28T23:59:59.000Z

330

URANIUM IN ALKALINE ROCKS  

E-Print Network (OSTI)

1977. "Geology of Brazil's Uranium and Thorium Occurrences,"A tantalo-niobate of uranium, near pyrochlore. Isometric,niobate and tantalate of uranium, with ferrous iron and rare

Murphy, M.

2011-01-01T23:59:59.000Z

331

Horizontal-axis washing machines offer large savings: New models entering North American market  

Science Conference Proceedings (OSTI)

Long popular in Europe, new horizontal-axis clothes washers are entering the North American market, creating opportunities for government and utility conservation efforts. Unlike vertical-axis machines, which immerse the clothes in water, horizontal-axis designs use a tumbling action and require far less water, water-heating energy, and detergent. One development in this area is the recent reintroduction by the Frigidaire Company of a full-size, front-load, horizontal-axis washing machine. The new model is an improved version of an earlier design that was discontinued in mid-1991 during changes in manufacturing facilities. It is available under the Sears Kenmore, White-Westinghouse, and Gibson labels. While several European and commercial-grade front-load washers are sold in the US, they are all considerably more expensive than the Frigidaire machine, making it the most efficient clothes washer currently available in a mainstream North American consumer product line.

Shepard, M.

1992-12-31T23:59:59.000Z

332

Modeling the Market Potential of Hydrogen from Wind and Competing Sources: Preprint  

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

8 8 May 2005 Modeling the Market Potential of Hydrogen from Wind and Competing Sources Preprint W. Short, N. Blair, and D. Heimiller To be presented at WINDPOWER 2005 Denver, Colorado May 15-18, 2005 NOTICE The submitted manuscript has been offered by an employee of the Midwest Research Institute (MRI), a contractor of the US Government under Contract No. DE-AC36-99GO10337. Accordingly, the US Government and MRI retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes. 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

333

Agile Market Engineering: Bridging the gap between business concepts and running markets.  

E-Print Network (OSTI)

??The agile market engineering process model (AMEP) is built on the insight, that market design and development is a wicked problem. Electronic markets are too… (more)

Block, Carsten Alexander

2010-01-01T23:59:59.000Z

334

Depleted Uranium Hexafluoride Management  

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

OFFICE OF DEPLETED URANIUM HEXAFLUORIDE MANAGEMENT Issuance Of Final Report On Preconceptual Designs For Depleted Uranium Hexafluoride Conversion Plants The Department of Energy...

335

Uranium Oxide Semiconductors  

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

of semiconductors, it would consume the annual production rate of depleted uranium from uranium enrichment facilities. For more information: PDF Semiconductive Properties of...

336

COPPER COATED URANIUM ARTICLE  

DOE Patents (OSTI)

Various techniques and methods for obtaining coppercoated uranium are given. Specifically disclosed are a group of complex uranium coatings having successive layers of nickel, copper, lead, and tin.

Gray, A.G.

1958-10-01T23:59:59.000Z

337

Domestic Uranium Production Report  

U.S. Energy Information Administration (EIA)

Home > Nuclear > Domestic Uranium Production Report Domestic Uranium Production Report Data for: 2005 Release Date: May 15, 2006 Next Release: May 15, 2007

338

Manhattan Project: Uranium cubes  

Office of Scientific and Technical Information (OSTI)

Cubes of uranium metal, Los Alamos, 1945 Events > Difficult Choices, 1942 > More Uranium Research, 1942 Events > Bringing It All Together, 1942-1945 > Basic Research at Los Alamos,...

339

The US uranium industry: Regulatory and policy impediments  

SciTech Connect

The Energy Policy Act of 1992 required the DOE to develop recommendations and implement government programs to assist the domestic uranium industry in increasing export opportunities. In 1993, as part of that effort, the Office of Nuclear Energy identified several key factors that could (or have) significantly impact(ed) export opportunities for domestic uranium. This report addresses one of these factors: regulatory and policy impediments to the flow of uranium products between the US and other countries. It speaks primarily to the uranium market for civil nuclear power. Changes in the world political and economic order have changed US national security requirements, and the US uranium industry has found itself without the protected market it once enjoyed. An unlevel playing field for US uranium producers has resulted from a combination of geology, history, and a general US political philosophy of nonintervention that precludes the type of industrial policy practiced in other uranium-exporting countries. The US has also been hampered in its efforts to support the domestic uranium-producing industry by its own commitment to free and open global markets and by international agreements such as GATT and NAFTA. Several US policies, including the imposition of NRC fees and licensing costs and Harbor Maintenance fees, directly harm the competitiveness of the domestic uranium industry. Finally, requirements under US law, such as those in the 1979 Nuclear Nonproliferation Act, place very strict limits on the use of US-origin uranium, limitations not imposed by other uranium-producing countries. Export promotion and coordination are two areas in which the US can help the domestic uranium industry without violating existing trade agreements or other legal or policy constraints.

Drennen, T.E.; Glicken, J.

1995-06-01T23:59:59.000Z

340

A methodology for assessing the market benefits of alternative motor fuels: The Alternative Fuels Trade Model  

DOE Green Energy (OSTI)

This report describes a modeling methodology for examining the prospective economic benefits of displacing motor gasoline use by alternative fuels. The approach is based on the Alternative Fuels Trade Model (AFTM). AFTM development was undertaken by the US Department of Energy (DOE) as part of a longer term study of alternative fuels issues. The AFTM is intended to assist with evaluating how alternative fuels may be promoted effectively, and what the consequences of substantial alternative fuels use might be. Such an evaluation of policies and consequences of an alternative fuels program is being undertaken by DOE as required by Section 502(b) of the Energy Policy Act of 1992. Interest in alternative fuels is based on the prospective economic, environmental and energy security benefits from the substitution of these fuels for conventional transportation fuels. The transportation sector is heavily dependent on oil. Increased oil use implies increased petroleum imports, with much of the increase coming from OPEC countries. Conversely, displacement of gasoline has the potential to reduce US petroleum imports, thereby reducing reliance on OPEC oil and possibly weakening OPEC`s ability to extract monopoly profits. The magnitude of US petroleum import reduction, the attendant fuel price changes, and the resulting US benefits, depend upon the nature of oil-gas substitution and the supply and demand behavior of other world regions. The methodology applies an integrated model of fuel market interactions to characterize these effects.

Leiby, P.N.

1993-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

Beryllium Impregnation of Uranium Fuel: Thermal Modeling of Cylindrical Objects for Efficiency Evaluation  

E-Print Network (OSTI)

With active research projects related to nuclear waste immobilization and high conductivity nuclear fuels, a thermal model has been developed to simulate the temperature profile within a heat generating cylinder in order to imitate the behavior of each design. This work is being done so that it may be used in future research projects to represent how heat is being stored or dissipated in a material that has a uniformly distributed heat source from fission or radiation deposition. The model has been built to have a 2-D visual representation of the temperature distribution. A nodal system is employed for this model so that the user chooses the size of the mesh that will develop an accurate reading for their purposes. The model uses fundamental heat transfer equations and heat conduction properties for different metals. The heat transfer equations that will be used are fundamental and used at each point in the mesh developed by the user to ensure accuracy of the calculation. Below is such an example of an equation that will be used to model the temperature distribution in the cylindrical samples. By choosing the thermal properties associated with the material that is being researched, certain parameters are imposed in the equations automatically. This provides an easy method to see changes in the temperature distribution due to the improvements that have been made. Such parameters are the thermal conductivity and the thermal diffusivity along with others such as the material specific heat. The model will incorporate color variations in the display in order to allow larger meshes to be used while not diminishing the appearance of the results. The color variation will be due to a gradient from red to blue to represent hot to cold.

Lynn, Nicholas

2011-08-04T23:59:59.000Z

342

Uranium internal exposure evaluation based on urine assay data  

SciTech Connect

The difficulties in assessing internal exposures to uranium from urine assay data are described. A simplified application of the ICRP-30 and ICRP Lung Model concepts to the estimation of uranium intake is presented. A discussion follows on the development of a computer code utilizing the ICRP-30-based uranium elimination model with the existing urine assay information. The calculated uranium exposures from 1949 through 1983 are discussed. 13 references, 1 table.

Lawrence, J.N.P.

1984-09-01T23:59:59.000Z

343

Thermodynamic Model for Uranium Release from Hanford Site Tank Residual Waste  

Science Conference Proceedings (OSTI)

A thermodynamic model of U phase solubility and paragenesis was developed for Hanford tank residual waste that will remain after tank closure. The model was developed using a combination of waste composition data, waste leach test data, and thermodynamic modeling of the leach test data. The testing and analyses were conducted using actual Hanford tank residual waste. Positive identification of the U phases by X-ray diffraction (XRD) was generally not possible because solids in the waste were amorphous, or below the detection limit of XRD for both as-received residual waste and leached residual waste. Three leachant solutions were used in the studies, dionized water, CaCO3 saturated solution, and Ca(OH)2 saturated solution. Thermodynamic modeling verified that equilibrium between U phases in the initial residual waste samples and the leachants was attained in less than a month. The paragenetic sequence of secondary phases that occur as waste leaching progresses for two closure scenarios was identified. These results have significant implications for tank closure design.

Cantrell, Kirk J.; Deutsch, William J.; Lindberg, Michael J.

2011-01-26T23:59:59.000Z

344

Modeling non-steady state radioisotope transport in the vadose zone--A case study using uranium isotopes at Pena Blanca, Mexico  

SciTech Connect

Current models using U- and Th-series disequilibria to study radioisotope transport in groundwater systems mostly consider a steady-state situation. These models have limited applicability to the vadose zone (UZ) where the concentration and migratory behavior of radioisotopes in fluid are often transitory. We present here, as a first attempt of its kind, a model simulating the non-steady state, intermittent fluid transport in vadose layers. It provides quantitative constraints on in-situ migration of dissolved and colloidal radioisotopes in terms of retardation factor and rock-water interaction (or water transit) time. For uranium, the simulation predicts that intermittent flushing in the UZ leads to a linear relationship between reciprocal U concentration and {sup 234}U/{sup 238}U ratio in percolating waters, with the intercept and slope bearing information on the rates of dissolution and {alpha}-recoil of U isotopes, respectively. The general validity of the model appears to be borne out by the measurement of uranium isotopes in UZ waters collected at various times over a period during 1995-2006 from a site in the Pena Blanca mining district, Mexico, where the Nopal I uranium deposit is located. Enhanced {sup 234}U/{sup 238}U ratios in vadose-zone waters resulting from lengthened non-flushing time as prescribed by the model provide an interpretative basis for using {sup 234}U/{sup 238}U in cave calcites to reconstruct the regional changes in hydrology and climate. We also provide a theoretical account of the model's potential applications using radium isotopes.

Ku, T. L.; Luo, S.; Goldstein, S. J.; Murrell, M. T.; Chu, W. L.; Dobson, P. F.

2009-06-01T23:59:59.000Z

345

Abstract--A stochastic dynamic programming hydrothermal dispatch model to simulate a bid-based market is  

E-Print Network (OSTI)

on dynamic programming that optimizes and validates the bid prices strategies for each power plant in a hydro-thermal, and simulating them as if they were a single power plant. In a hydro-thermal system as the one simulated several plants. Emphasis is given to hydro reservoir modeling and to the assessment of their market power

Catholic University of Chile (Universidad Católica de Chile)

346

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

347

Cap-and-Trade Modeling and Analysis: Congested Electricity Market Equilibrium  

E-Print Network (OSTI)

Concerning Cap and Trade Programs in Electricity: the CaseCap and Trade Regulation on Congested Electricity Marketcap and trade regu- lation on congested electricity market

Limpaitoon, Tanachai

2012-01-01T23:59:59.000Z

348

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

349

Status of domestic uranium industry  

Science Conference Proceedings (OSTI)

The domestic uranium industry continues to operate at a reduced level, due to low prices and increased foreign competition. For four years (1984-1987) the Secretary of Energy declared the industry to be nonviable. A similar declaration is expected for 1988. Exploration and development drilling, at the rate of 2 million ft/year, continue in areas of producing mines and recent discoveries, especially in northwestern Arizona, northwestern Nebraska, south Texas, Wyoming, and the Paradox basin of Colorado and Utah. Production of uranium concentrate continues at a rate of 13 to 15 million lb of uranium oxide (U{sub 3}O{sub 8}) per year. Conventional mining in New Mexico, Arizona, Utah, Colorado, Wyoming, and Texas accounts for approximately 55% of the production. The remaining 45% comes from solution (in situ) mining, from mine water recovery, and as by-products from copper production and the manufacture of phosphoric acid. Solution mining is an important technique in Wyoming, Nebraska, and Texas. By-product production comes from phosphate plants in Florida and Louisiana and a copper mine in Utah. Unmined deposits in areas such as the Grants, New Mexico, district are being investigated for their application to solution mining technology. The discovered uranium resources in the US are quite large, and the potential to discover additional resources is excellent. However, higher prices and a strong market will be necessary for their exploitation.

Chenoweth, W.L.

1989-09-01T23:59:59.000Z

350

Uranium Nitride as LWR TRISO Fuel: Thermodynamic Modeling of U-C-N  

SciTech Connect

TRISO coated particle fuel is envisioned as a next generation replacement for current urania pellet fuel in LWR applications. To obtain adequate fissile loading the kernel of the TRISO particle will need to be UN. In support of the fuel development effort, an assessment of phase regions of interest in the U-C-N system was undertaken as the fuel will be prepared by the carbothermic reduction of the oxide and it will be in equilibrium with carbon within the TRISO particle. The phase equilibria and thermochemistry of the U-C-N system is reviewed, including nitrogen pressure measurements above various phase fields. Selected measurements were used to fit a first order model of the UC1-xNx phase, represented by the inter-solution of UN and UC. Fit to the data was significantly improved by also adjusting the heat of formation for UN by ~12 kJ/mol and the phase equilbria was best reproduced by also adjusting the heat for U2N3 by +XXX. The determined interaction parameters yielded a slightly positive deviation from ideality, which agrees with lattice parameter measurements which show positive deviation from Vegard s law. The resultant model together with reported values for other phases in the system were used to generate isothermal sections of the U-C-N phase diagram. Nitrogen partial pressures were also computed for regions of interest.

Besmann, Theodore M [ORNL; Shin, Dongwon [ORNL

2012-01-01T23:59:59.000Z

351

Uranium Contamination in the 300 Area: Emergent Data and their Impact on the Source Term Conceptual Model  

SciTech Connect

The primary objectives of this characterization activity were to: 1) determine the extent of uranium contamination in the sediments, 2) quantify the leachable (labile) concentration of uranium in the sediments, and 3) create a data set that could be used to correlate the present data to existing 300 Area data. In order to meet these objectives, sediments collected from wells 399-2-5 (C5708), 299-3-22 (C5706) and 299-4-14 (C5707) were analyzed for moisture content, 1:1 sediment:water extracts (which provide soil pH, electrical conductivity [EC], cation, and anion data), total carbon and inorganic carbon content, 8 M nitric acid extracts (which provide a measure of the total leachable sediment content of the contaminants), microwave-assisted digestion (which results in total digestion of the sediment), and carbonate leaches (which provide an assessment of the concentration of labile uranium present in the sediments). Additionally, pore waters present in select samples were extracted using ultracentrifugation. The mobility characteristics of uranium vary within the multiple subsurface zones that contain residual contaminant uranium. Principal subsurface zones include 1) the vadose zone, 2) a zone through which the water table rises and falls, 3) the aquifer, and 4) a zone where groundwater and river water interact beneath the river shoreline. Principal controls on mobilization include the form of the residual uranium (e.g., crystalline minerals, amorphous precipitates/coatings, sorbed onto sediment), the transporting medium (e.g., water infiltration from the land surface, groundwater), and the rate of exchange between the form and transporting medium. The bicarbonate content of aqueous media strongly influences the rate of exchange, with relatively higher content enhancing mobility. Groundwater has a higher bicarbonate content than river water or other freshwater sources, such as utility and potable water systems. The variety of processes affecting the mobility of uranium in the subsurface, along with the numerous potential compartments where residual contamination may be located, presents challenges for predicting uranium movement through environmental pathways. The processes responsible for the persistence of the plume may involve cycling of uranium between the aquifer and overlying zone through which the water table fluctuates. Contaminated groundwater is moved upward into the lower vadose zone, and when the water table subsequently falls, contaminated moisture is left behind. Some of the uranium in groundwater may become sorbed to sediment in that zone, to subsequently slowly release. Also, near the Columbia River in the zone of groundwater/river water interaction, where the bicarbonate content is lowered because of infiltrating river water, the tendency for uranium to adsorb onto sediment is enhanced, thus slowing dissipation via the groundwater pathway. Fluctuations in the Columbia River stage are the driving mechanism for the rise and fall of the water table beneath the 300 Area, and also for creating the dynamic hydraulic and geochemical environment found in the zone of interaction beneath the shoreline.

Brown, Christopher F.; Um, Wooyong; Serne, R. Jeffrey

2008-09-30T23:59:59.000Z

352

A GA-weighted ANFIS model based on multiple stock market volatility causality for TAIEX forecasting  

Science Conference Proceedings (OSTI)

Stock market forecasting is important and interesting, because the successful prediction of stock prices may promise attractive benefits. The economy of Taiwan relies on international trade deeply, and the fluctuations of international stock markets ... Keywords: ANFIS, Genetic algorithm, Neural network, Weighted rule

Liang-Ying Wei

2013-02-01T23:59:59.000Z

353

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

354

Can the Mortensen-Pissarides Model Match the Housing Market Facts ?  

E-Print Network (OSTI)

are different in terms of their waiting costs for selling the house, where buyers are free to enter either are free to enter either submarket Nash bargaining matching function + random search + market tightness with frictions. Keywords: housing price dispersion, time-on-the-market, trading volume, search and matching

Paris-Sud XI, Université de

355

PRODUCTION OF URANIUM TETRACHLORIDE  

DOE Patents (OSTI)

A process is descrlbed for the production of uranium tetrachloride by contacting uranlum values such as uranium hexafluoride, uranlum tetrafluoride, or uranium oxides with either aluminum chloride, boron chloride, or sodium alumlnum chloride under substantially anhydrous condltlons at such a temperature and pressure that the chlorldes are maintained in the molten form and until the uranium values are completely converted to uranlum tetrachloride.

Calkins, V.P.

1958-12-16T23:59:59.000Z

356

PRODUCTION OF URANIUM MONOCARBIDE  

DOE Patents (OSTI)

A method of making essentially stoichiometric uranium monocarbide by pelletizing a mixture of uranium tetrafluoride, silicon, and carbon and reacting the mixture at a temperature of approximately 1500 to 1700 deg C until the reaction goes to completion, forming uranium monocarbide powder and volatile silicon tetrafluoride, is described. The powder is then melted to produce uranium monocarbide in massive form. (AEC)

Powers, R.M.

1962-07-24T23:59:59.000Z

357

FAQ 23-How much depleted uranium -- including depleted uranium...  

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

is stored in the United States? How much depleted uranium -- including depleted uranium hexafluoride -- is stored in the United States? In addition to the depleted uranium stored...

358

Comparison of the U-233 dog data of Stevens et al. with uranium retention functions in ICRP Publication 30 and a 3-compartment mammillary model for uranium  

SciTech Connect

Stevens measured the distribution, retention, and excretion of U-233 in seven beagles each given a single injection of U-233 citrate (2.8 ..mu..Ci/kg U-233 (VI) (approx.3 mg/dog)). These data, when plotted together with results obtained with the ICRP (Pub. 30) retention functions for purposes of comparison, are seen to differ only slightly from the ICRP-30 model. The number of transformations in the body, over a fifty-year period agree within a factor of 2. A three-compartment mammillary model has been parameterized from the data of Stevens by the method of Bernard. Retention in tissues of the body is represented by a linear combination of three compartments. The data plots for the dogs and ICRP-30 model will be presented and discussed together with the three compartment mammillary model for U-233 retention, distribution, and excretion. 3 figs., 2 tabs.

Bernard S.R.

1983-01-01T23:59:59.000Z

359

Polyethylene Encapsulated Depleted Uranium  

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

Poly DU Poly DU Polyethylene Encapsulated Depleted Uranium Technology Description: Brookhaven National Laboratory (BNL) has completed preliminary work to investigate the feasibility of encapsulating DU in low density polyethylene to form a stable, dense product. DU loadings as high as 90 wt% were achieved. A maximum product density of 4.2 g/cm3 was achieved using UO3, but increased product density using UO2 is estimated at 6.1 g/cm3. Additional product density improvements up to about 7.2 g/cm3 were projected using DU aggregate in a hybrid technique known as micro/macroencapsulation.[1] A U.S. patent for this process has been received.[2] Figure 1 Figure 1: DU Encapsulated in polyethylene samples produced at BNL containing 80 wt % depleted UO3 A recent DU market study by Kapline Enterprises, Inc. for DOE thoroughly identified and rated potential applications and markets for DU metal and oxide materials.[3] Because of its workability and high DU loading capability, the polyethylene encapsulated DU could readily be fabricated as counterweights/ballast (for use in airplanes, helicopters, ships and missiles), flywheels, armor, and projectiles. Also, polyethylene encapsulated DU is an effective shielding material for both gamma and neutron radiation, with potential application for shielding high activity waste (e.g., ion exchange resins, glass gems), spent fuel dry storage casks, and high energy experimental facilities (e.g., accelerator targets) to reduce radiation exposures to workers and the public.

360

The End of Cheap Uranium  

E-Print Network (OSTI)

Historic data from many countries demonstrate that on average no more than 50-70% of the uranium in a deposit could be mined. An analysis of more recent data from Canada and Australia leads to a mining model with an average deposit extraction lifetime of 10+- 2 years. This simple model provides an accurate description of the extractable amount of uranium for the recent mining operations. Using this model for all larger existing and planned uranium mines up to 2030, a global uranium mining peak of at most 58 +- 4 ktons around the year 2015 is obtained. Thereafter we predict that uranium mine production will decline to at most 54 +- 5 ktons by 2025 and, with the decline steepening, to at most 41 +- 5 ktons around 2030. This amount will not be sufficient to fuel the existing and planned nuclear power plants during the next 10-20 years. In fact, we find that it will be difficult to avoid supply shortages even under a slow 1%/year worldwide nuclear energy phase-out scenario up to 2025. We thus suggest that a world...

Dittmar, Michael

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

DECONTAMINATION OF URANIUM  

DOE Patents (OSTI)

This patent deals with the separation of rare earth and other fission products from neutron bombarded uranium. This is accomplished by melting the uranium in contact with either thorium oxide, maguesium oxide, alumnum oxide, beryllium oxide, or uranium dioxide. The melting is preferably carried out at from 1150 deg to 1400 deg C in an inert atmosphere, such as argon or helium. During this treatment a scale of uranium dioxide forms on the uranium whtch contains most of the fission products.

Feder, H.M.; Chellew, N.R.

1958-02-01T23:59:59.000Z

362

Modeling renewable portfolio standards for the annual energy outlook 1998 - electricity market module  

SciTech Connect

The Electricity Market Module (EMM) is the electricity supply component of the National Energy Modeling System (NEMS). The EMM represents the generation, transmission, and pricing of electricity. It consists of four submodules: the Electricity Capacity Planning (ECP) Submodule, the Electricity Fuel Dispatch (EFD) Submodule, the Electricity Finance and Pricing (EFP) Submodule, and the Load and Demand-Side Management (LDSM) Submodule. For the Annual Energy Outlook 1998 (AEO98), the EMM has been modified to represent Renewable Portfolio Standards (RPS), which are included in many of the Federal and state proposals for deregulating the electric power industry. A RPS specifies that electricity suppliers must produce a minimum level of generation using renewable technologies. Producers with insufficient renewable generating capacity can either build new plants or purchase {open_quotes}credits{close_quotes} from other suppliers with excess renewable generation. The representation of a RPS involves revisions to the ECP, EFD, and the EFP. The ECP projects capacity additions required to meet the minimum renewable generation levels in future years. The EFD determines the sales and purchases of renewable credits for the current year. The EFP incorporates the cost of building capacity and trading credits into the price of electricity.

1998-02-01T23:59:59.000Z

363

Chapter 5. Conclusion Uranium, a naturally occurring element, contributes to low levels of natural background radiation in the  

E-Print Network (OSTI)

are extracted from the earth. Protore is mined uranium ore that is not rich enough to meet the market demand conventional open-pit and underground uranium mining include overburden (although most overburden is not necessarily enriched in uranium as is protore), unreclaimed protore, waste rock, evaporites from mine water

364

The photovoltaic market analysis program : background, model development, applications and extensions  

E-Print Network (OSTI)

The purpose of this report is to describe and motivate the market analysis program for photovoltaics that has developed over the last several years. The main objective of the program is to develop tools and procedures to ...

Lilien, Gary L.

1981-01-01T23:59:59.000Z

365

The National Energy Modeling System: An Overview 1998 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

COAL MARKET MODULE COAL MARKET MODULE blueball.gif (205 bytes) Coal Production Submodule blueball.gif (205 bytes) Coal Distribution Submodule blueball.gif (205 bytes) Coal Export Component The coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end-use demand. Coal supplies are differentiated by heat and sulfur content. The CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal export demands as a part of the world coal market. Coal supply is projected on a cost-minimizing basis, constrained by existing contracts. Twelve different coal types are differentiated with respect to thermal grade, sulfur content, and underground or surface mining. The domestic production and distribution of coal is forecast for 13 demand regions and 11 supply

366

Analysing and modelling international trade patterns of the Australian wine industry in the world wine market.  

E-Print Network (OSTI)

??Since the mid-1980s, trade liberalisation has encouraged the growth of Australia’s international trade. The Australian wine industry has been successful in the world wine market,… (more)

Boriraj, Jumpoth

2008-01-01T23:59:59.000Z

367

Evolutionary multiobjective optimization approach for evolving ensemble of intelligent paradigms for stock market modeling  

Science Conference Proceedings (OSTI)

The use of intelligent systems for stock market predictions has been widely established. This paper introduces a genetic programming technique (called Multi-Expression programming) for the prediction of two stock indices. The performance is then compared ...

Ajith Abraham; Crina Grosan; Sang Yong Han; Alexander Gelbukh

2005-11-01T23:59:59.000Z

368

Modeling and Simulation of an Agent-Based Decentralized Two-Commodity Power Market  

Science Conference Proceedings (OSTI)

In this paper, a market-based approach is described to solve the resource allocation problem of two coupled commodities, namely electric energy and heating energy. Agents assigned to each household and each power plant carry out evaluations independently ...

2000-07-01T23:59:59.000Z

369

Fuzzy-neural model with hybrid market indicators for stock forecasting  

Science Conference Proceedings (OSTI)

A number of research had been carried out to forecast stock price based on technical indicators, which rely purely on historical stock price data. Nevertheless, their performance is not always satisfactory. In this paper, the effect of using hybrid market ...

A. A. Adebiyi; C. K. Ayo; S. O. Otokiti

2011-07-01T23:59:59.000Z

370

How good are supply function equilibrium models: an empirical analysis of the ERCOT balancing market  

E-Print Network (OSTI)

Protecting the Market from “Hockey Stick” Pricing: How thethat some ?rms opt to ‘hockey-stick’ their supply functions—giving their o?er curve a hockey-stick shape—even more than

Sioshansi, Ramteen; Oren, Shmuel

2007-01-01T23:59:59.000Z

371

How Good are Supply Function Equilibrium Models: An Empirical Analysis of the ERCOT Balancing Market  

E-Print Network (OSTI)

Protecting the Market from "Hockey Stick" Pricing: How thesome firms opt to 'hockey-stick' their supply functions—giving their offer curve a hockey-stick shape—even more than

Sioshansi, Ramteen; Oren, Shmuel S

2006-01-01T23:59:59.000Z

372

Modelling the Effects of Nuclear Fuel Reservoir Operation in a Competitive Electricity Market  

E-Print Network (OSTI)

In many countries, the electricity systems are quitting the vertically integrated monopoly organization for an operation framed by competitive markets. In such a competitive regime one can ask what the optimal management ...

Lykidi, Maria

373

Cap-and-Trade Modeling and Analysis: Congested Electricity Market Equilibrium.  

E-Print Network (OSTI)

??This dissertation presents an equilibrium framework for analyzing the impact of cap-and-trade regulation on transmission-constrained electricity market. The cap-and-trade regulation of greenhouse gas emissions has… (more)

Limpaitoon, Tanachai

2012-01-01T23:59:59.000Z

374

Uranium Hexafluoride (UF6)  

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

Hexafluoride (UF6) Hexafluoride (UF6) Uranium Hexafluoride (UF6) line line Properties of UF6 UF6 Health Effects Uranium Hexafluoride (UF6) Physical and chemical properties of UF6, and its use in uranium processing. Uranium Hexafluoride and Its Properties Uranium hexafluoride is a chemical compound consisting of one atom of uranium combined with six atoms of fluorine. It is the chemical form of uranium that is used during the uranium enrichment process. Within a reasonable range of temperature and pressure, it can be a solid, liquid, or gas. Solid UF6 is a white, dense, crystalline material that resembles rock salt. UF6 crystals in a glass vial image UF6 crystals in a glass vial. Uranium hexafluoride does not react with oxygen, nitrogen, carbon dioxide, or dry air, but it does react with water or water vapor. For this reason,

375

The National Energy Modeling System: An Overview 2000 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end-use demand. Coal supplies are differentiated by heat and sulfur content. CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal export demands as a part of the world coal market. Coal supply is projected on a cost-minimizing basis, constrained by existing contracts. Twelve different coal types are differentiated with respect to thermal grade, sulfur content, and underground or surface mining. The domestic production and distribution of coal is forecast for 13 demand regions and 11 supply regions (Figures 19 and 20). coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end-use demand. Coal supplies are differentiated by heat and sulfur content. CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal export demands as a part of the world coal market. Coal supply is projected on a cost-minimizing basis, constrained by existing contracts. Twelve different coal types are differentiated with respect to thermal grade, sulfur content, and underground or surface mining. The domestic production and distribution of coal is forecast for 13 demand regions and 11 supply regions (Figures 19 and 20). Figure 19. Coal Market Module Demand Regions Figure 20. Coal Market Module Supply Regions

376

Process for electroslag refining of uranium and uranium alloys  

DOE Patents (OSTI)

A process is described for electroslag refining of uranium and uranium alloys wherein molten uranium and uranium alloys are melted in a molten layer of a fluoride slag containing up to about 8 weight percent calcium metal. The calcium metal reduces oxides in the uranium and uranium alloys to provide them with an oxygen content of less than 100 parts per million. (auth)

Lewis, P.S. Jr.; Agee, W.A.; Bullock, J.S. IV; Condon, J.B.

1975-07-22T23:59:59.000Z

377

SOLDERING OF URANIUM  

SciTech Connect

One of Its Monograph Series, The Industrial Atom.'' The joining of uranium to uranium has been done successfully using a number of commercial soft solders and fusible alloys. Soldering by using an ultrasonic soldering iron has proved the best method for making sound soldered joints of uranium to uranium and of uranium to other metals, such as stainless steel. Other method of soldering have shown some promise but did not give reliable joints all the time. The soldering characteristics of uranium may best be compared to those of aluminum. (auth)

Hanks, G.S.; Doll, D.T.; Taub, J.M.; Brundige, E.L.

1957-01-01T23:59:59.000Z

378

URANIUM RECOVERY PROCESS  

DOE Patents (OSTI)

A method is described for recovering uranium values from uranium bearing phosphate solutions such as are encountered in the manufacture of phosphate fertilizers. The solution is first treated with a reducing agent to obtain all the uranium in the tetravalent state. Following this reduction, the solution is treated to co-precipitate the rcduced uranium as a fluoride, together with other insoluble fluorides, thereby accomplishing a substantially complete recovery of even trace amounts of uranium from the phosphate solution. This precipitate usually takes the form of a complex fluoride precipitate, and after appropriate pre-treatment, the uranium fluorides are leached from this precipitate and rccovered from the leach solution.

Bailes, R.H.; Long, R.S.; Olson, R.S.; Kerlinger, H.O.

1959-02-10T23:59:59.000Z

379

PRODUCTION OF PURIFIED URANIUM  

DOE Patents (OSTI)

A pyrometallurgical method for processing nuclear reactor fuel elements containing uranium and fission products and for reducing uranium compound; to metallic uranium is reported. If the material proccssed is essentially metallic uranium, it is dissolved in zinc, the sulution is cooled to crystallize UZn/sub 9/ , and the UZn/sub 9/ is distilled to obtain uranium free of fission products. If the material processed is a uranium compound, the sollvent is an alloy of zinc and magnesium and the remaining steps are the same.

Burris, L. Jr.; Knighton, J.B.; Feder, H.M.

1960-01-26T23:59:59.000Z

380

EPA Update: NESHAP Uranium Activities  

E-Print Network (OSTI)

measurements have been performed on high-enriched uranium (HEU) oxide fuel pins and depleted uranium metal

Note: This page contains sample records for the topic "uranium market model" 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

Method of recovering uranium hexafluoride  

DOE Patents (OSTI)

A method of recovering uranium hexafluoride from gaseous mixtures which comprises adsorbing said uranium hexafluoride on activated carbon is described.

Schuman, S.

1975-12-01T23:59:59.000Z

382

Atomic Data for Uranium (U )  

Science Conference Proceedings (OSTI)

... Uranium (U) Homepage - Introduction Finding list Select element by name. Select element by atomic number. ... Atomic Data for Uranium (U). ...

383

Combined Estimation of Hydrogeologic Conceptual Model, Parameter, and Scenario Uncertainty with Application to Uranium Transport at the Hanford Site 300 Area  

SciTech Connect

This report to the Nuclear Regulatory Commission (NRC) describes the development and application of a methodology to systematically and quantitatively assess predictive uncertainty in groundwater flow and transport modeling that considers the combined impact of hydrogeologic uncertainties associated with the conceptual-mathematical basis of a model, model parameters, and the scenario to which the model is applied. The methodology is based on a n extension of a Maximum Likelihood implementation of Bayesian Model Averaging. Model uncertainty is represented by postulating a discrete set of alternative conceptual models for a site with associated prior model probabilities that reflect a belief about the relative plausibility of each model based on its apparent consistency with available knowledge and data. Posterior model probabilities are computed and parameter uncertainty is estimated by calibrating each model to observed system behavior; prior parameter estimates are optionally included. Scenario uncertainty is represented as a discrete set of alternative future conditions affecting boundary conditions, source/sink terms, or other aspects of the models, with associated prior scenario probabilities. A joint assessment of uncertainty results from combining model predictions computed under each scenario using as weight the posterior model and prior scenario probabilities. The uncertainty methodology was applied to modeling of groundwater flow and uranium transport at the Hanford Site 300 Area. Eight alternative models representing uncertainty in the hydrogeologic and geochemical properties as well as the temporal variability were considered. Two scenarios represent alternative future behavior of the Columbia River adjacent to the site were considered. The scenario alternatives were implemented in the models through the boundary conditions. Results demonstrate the feasibility of applying a comprehensive uncertainty assessment to large-scale, detailed groundwater flow and transport modeling and illustrate the benefits of the methodology I providing better estimates of predictive uncertiay8, quantitative results for use in assessing risk, and an improved understanding of the system behavior and the limitations of the models.

Meyer, Philip D.; Ye, Ming; Rockhold, Mark L.; Neuman, Shlomo P.; Cantrell, Kirk J.

2007-07-30T23:59:59.000Z

384

Assessing the Renal Toxicity of Capstone Depleted Uranium Oxides and Other Uranium Compounds  

SciTech Connect

The primary target for uranium toxicity is the kidney. The most frequently used guideline for uranium kidney burdens is the International Commission on Radiation Protection (ICRP) value of 3 µg U/g kidney, a value that is based largely upon chronic studies in animals. In the present effort, we have developed a risk model equation to assess potential outcomes of acute uranium exposure. Twenty-seven previously published case studies in which workers were acutely exposed to soluble compounds of uranium (as a result of workplace accidents) were analyzed. Kidney burdens of uranium for these individuals were determined based on uranium in the urine, and correlated with health effects observed over a period of up to 38 years. Based upon the severity of health effects, each individual was assigned a score (- to +++) and then placed into an Effect Group. A discriminant analysis was used to build a model equation to predict the Effect Group based on the amount of uranium in the kidneys. The model equation was able to predict the Effect Group with 85% accuracy. The risk model was used to predict the Effect Group for Soldiers exposed to DU as a result of friendly fire incidents during the 1991 Gulf War. This model equation can also be used to predict the Effect Group of new cases in which acute exposures to uranium have occurred.

Roszell, Laurie E.; Hahn, Fletcher; Lee, Robyn B.; Parkhurst, MaryAnn

2009-02-26T23:59:59.000Z

385

Uranium from phosphate ores  

SciTech Connect

The following topics are described briefly: the way phosphate fertilizers are made; how uranium is recovered in the phosphate industry; and how to detect covert uranium recovery operations in a phsophate plant.

Hurst, F.J.

1983-01-01T23:59:59.000Z

386

Uranium Health Effects  

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

For inhalation or ingestion of soluble or moderately soluble compounds such as uranyl fluoride (UO2F2) or uranium tetrafluoride (UF4), the uranium enters the bloodstream and...

387

METHOD FOR PURIFYING URANIUM  

DOE Patents (OSTI)

A process is given for purifying a uranium-base nuclear material. The nuclear material is dissolved in zinc or a zinc-magnesium alloy and the concentration of magnesium is increased until uranium precipitates.

Knighton, J.B.; Feder, H.M.

1960-04-26T23:59:59.000Z

388

Uranium Quick Facts  

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

Uranium Quick Facts A collection of facts about uranium, DUF6, and DOEs DUF6 inventory. Over the years, the Department of Energy has received numerous inquiries from the...

389

Cathodoluminescence of uranium oxides  

SciTech Connect

The cathodoluminescence of uranium oxide surfaces prepared in-situ from clean uranium exposed to dry oxygen was studied. The broad asymmetric peak observed at 470 nm is attributed to F-center excitation.

Winer, K.; Colmenares, C.; Wooten, F.

1984-08-09T23:59:59.000Z

390

Quantification of the Potential Impact on Commercial Markets of  

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

Introduction of the Enrichment Services Component of DOE Low Enriched Introduction of the Enrichment Services Component of DOE Low Enriched Uranium Inventory During Calendar Year 2013 Quantification of the Potential Impact on Commercial Markets of Introduction of the Enrichment Services Component of DOE Low Enriched Uranium Inventory During Calendar Year 2013 This report presents the results of a business analysis performed by Energy Resources International, Inc. (ERI) of the potential impact on the commercial enrichment market of the transfer of the enrichment services component (Separative Work Units or SWU) contained in DOE low enriched uranium (LEU) inventory during 2013. Under this transaction, 299,000 kg SWU would be introduced into the commercial market, but no transfer of natural uranium to the commercial market would take place.

391

Bicarbonate leaching of uranium  

SciTech Connect

The alkaline leach process for extracting uranium from uranium ores is reviewed. This process is dependent on the chemistry of uranium and so is independent on the type of mining system (conventional, heap or in-situ) used. Particular reference is made to the geochemical conditions at Crownpoint. Some supporting data from studies using alkaline leach for remediation of uranium-contaminated sites is presented.

Mason, C.

1998-12-31T23:59:59.000Z

392

PREPARATION OF URANIUM HEXAFLUORIDE  

DOE Patents (OSTI)

A process is described for preparing uranium hexafluoride from carbonate- leach uranium ore concentrate. The briquetted, crushed, and screened concentrate is reacted with hydrogen fluoride in a fluidized bed, and the uranium tetrafluoride formed is mixed with a solid diluent, such as calcium fluoride. This mixture is fluorinated with fluorine and an inert diluent gas, also in a fluidized bed, and the uranium hexafluoride obtained is finally purified by fractional distillation.

Lawroski, S.; Jonke, A.A.; Steunenberg, R.K.

1959-10-01T23:59:59.000Z

393

PRODUCTION OF URANIUM TETRAFLUORIDE  

DOE Patents (OSTI)

A method is presented for producing uranium tetrafluoride from the gaseous hexafluoride by feeding the hexafluoride into a high temperature zone obtained by the recombination of molecularly dissociated hydrogen. The molal ratio of hydrogen to uranium hexnfluoride is preferably about 3 to 1. Uranium tetrafluoride is obtained in a finely divided, anhydrous state.

Shaw, W.E.; Spenceley, R.M.; Teetzel, F.M.

1959-08-01T23:59:59.000Z

394

Disposition of DOE Excess Depleted Uranium, Natural Uranium, and  

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

Disposition of DOE Excess Depleted Uranium, Natural Uranium, and Disposition of DOE Excess Depleted Uranium, Natural Uranium, and Low-Enriched Uranium Disposition of DOE Excess Depleted Uranium, Natural Uranium, and Low-Enriched Uranium The U.S. Department of Energy (DOE) owns and manages an inventory of depleted uranium (DU), natural uranium (NU), and low-enriched uranium (LEU) that is currently stored in large cylinders as depleted uranium hexafluoride (DUF6), natural uranium hexafluoride (NUF6), and low-enriched uranium hexafluoride (LEUF6) at the DOE Paducah site in western Kentucky (DOE Paducah) and the DOE Portsmouth site near Piketon in south-central Ohio (DOE Portsmouth)1. This inventory exceeds DOE's current and projected energy and defense program needs. On March 11, 2008, the Secretary of Energy issued a policy statement (the

395

Monte Carlo modeling and analyses of YALINA booster subcritical assembly, Part III : low enriched uranium conversion analyses.  

Science Conference Proceedings (OSTI)

This study investigates the performance of the YALINA Booster subcritical assembly, located in Belarus, during operation with high (90%), medium (36%), and low (21%) enriched uranium fuels in the assembly's fast zone. The YALINA Booster is a zero-power, subcritical assembly driven by a conventional neutron generator. It was constructed for the purpose of investigating the static and dynamic neutronics properties of accelerator driven subcritical systems, and to serve as a fast neutron source for investigating the properties of nuclear reactions, in particular transmutation reactions involving minor-actinides. The first part of this study analyzes the assembly's performance with several fuel types. The MCNPX and MONK Monte Carlo codes were used to determine effective and source neutron multiplication factors, effective delayed neutron fraction, prompt neutron lifetime, neutron flux profiles and spectra, and neutron reaction rates produced from the use of three neutron sources: californium, deuterium-deuterium, and deuterium-tritium. In the latter two cases, the external neutron source operates in pulsed mode. The results discussed in the first part of this report show that the use of low enriched fuel in the fast zone of the assembly diminishes neutron multiplication. Therefore, the discussion in the second part of the report focuses on finding alternative fuel loading configurations that enhance neutron multiplication while using low enriched uranium fuel. It was found that arranging the interface absorber between the fast and the thermal zones in a circular rather than a square array is an effective method of operating the YALINA Booster subcritical assembly without downgrading neutron multiplication relative to the original value obtained with the use of the high enriched uranium fuels in the fast zone.

Talamo, A.; Gohar, Y. (Nuclear Engineering Division)

2011-05-12T23:59:59.000Z

396

Overview: A Legacy of Uranium Enrichment  

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

A Legacy of Uranium Enrichment Depleted Uranium is a Legacy of Uranium Enrichment Cylinders Photo Next Screen Management Responsibilities...

397

A multistage model for distribution expansion planning with distributed generation in a deregulated electricity market  

Science Conference Proceedings (OSTI)

Distribution systems management is becoming an increasingly complicated issue due to the introduction of new technologies, new energy trading strategies and a new deregulated environment. In the new deregulated energy market and considering the incentives ... Keywords: GAMS-MATLAB interface, distributed generation (DG), distribution company (DISCO), investment payback time, microturbine, social welfare

S. Porkar; A. Abbaspour-Tehrani-Fard; P. Poure; S. Saadate

2010-06-01T23:59:59.000Z

398

Can the Mortensen-Pissarides Model Match the Housing Market Facts ?  

E-Print Network (OSTI)

are different in terms of their waiting costs for selling the house, where buyers are free to enter either post. Nevertheless, s/he always decides to sell since the search is costly in terms of time and money buyers are free to enter either submarket Nash bargaining matching function + random search + market

Paris-Sud XI, Université de

399

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

400

Foreseeing the Market for Hydrogen Fuel-Cell Vehicles: Stakeholders' Perspectives and Models of New Technology Diffusion  

E-Print Network (OSTI)

and Associates (2005). Hybrid Vehicle Market Share Expectedsales Year Number of new hybrid vehicles sold Number of newsold Market share of hybrid vehicles It can be observed that

Collantes, Gustavo O

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

FORESEEING THE MARKET FOR HYDROGEN FUEL-CELL VEHICLES: STAKEHOLDERS’ PERSPECTIVES AND MODELS OF NEW TECHNOLOGY DIFFUSION  

E-Print Network (OSTI)

and Associates (2005). Hybrid Vehicle Market Share Expectedsales Year Number of new hybrid vehicles sold Number of newsold Market share of hybrid vehicles It can be observed that

Collantes, Gustavo

2005-01-01T23:59:59.000Z

402

RECALIBRATION OF H CANYON ONLINE SPECTROPHOTOMETER AT EXTENDED URANIUM CONCENTRATION  

SciTech Connect

The H Canyon online spectrophotometers are calibrated for measurement of the uranium and nitric acid concentrations of several tanks in the 2nd Uranium Cycle.[1] The spectrometers, flow cells, and prediction models are currently optimized for a process in which uranium concentrations are expected to range from 0-15 g/L and nitric acid concentrations from 0.05-6 M. However, an upcoming processing campaign will involve 'Super Kukla' material, which has a lower than usual enrichment of fissionable uranium. Total uranium concentrations will be higher, spanning approximately 0-30 g/L U, with no change in the nitric acid concentrations. The new processing conditions require the installation of new flow cells with shorter path lengths. As the process solutions have a higher uranium concentration, the shorter path length is required to decrease the absorptivity to values closer to the optimal range for the instrument. Also, new uranium and nitric acid prediction models are required to span the extended uranium concentration range. The models will be developed for the 17.5 and 15.4 tanks, for which nitric acid concentrations will not exceed 1 M. The restricted acid range compared to the original models is anticipated to reduce the measurement uncertainty for both uranium and nitric acid. The online spectrophotometers in H Canyon Second Uranium Cycle were modified to allow measurement of uranium and nitric acid for the Super Kukla processing campaign. The expected uranium concentrations, which are higher than those that have been recently processed, required new flow cells with one-third the optical path length of the existing cells. Also, new uranium and nitric acid calibrations were made. The estimated reading uncertainties (2{sigma}) for Tanks 15.4 and 17.5 are {approx}5% for uranium and {approx}25% for nitric acid.

Lascola, R

2008-10-29T23:59:59.000Z

403

FAQ 10-Why is uranium hexafluoride used?  

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

uranium hexafluoride used? Why is uranium hexafluoride used? Uranium hexafluoride is used in uranium processing because its unique properties make it very convenient. It can...

404

URANIUM RECOVERY PROCESS  

DOE Patents (OSTI)

In the prior art processing of uranium ores, the ore is flrst digested with nitric acid and filtered, and the uranium values are then extracted tom the filtrate by contacting with an organic solvent. The insoluble residue has been processed separately in order to recover any uranium which it might contain. The improvement consists in contacting a slurry, composed of both solution and residue, with the organic solvent prior to filtration. Tbe result is that uranium values contained in the residue are extracted along with the uranium values contained th the solution in one step.

Yeager, J.H.

1958-08-12T23:59:59.000Z

405

URANIUM SEPARATION PROCESS  

DOE Patents (OSTI)

The separation of uranium from a mixture of uranium and thorium by organic solvent extraction from an aqueous solution is described. The uranium is separrted from an aqueous mixture of uranium and thorium nitrates 3 N in nitric acid and containing salting out agents such as ammonium nitrate, so as to bring ihe total nitrate ion concentration to a maximum of about 8 N by contacting the mixture with an immiscible aliphatic oxygen containing organic solvent such as diethyl carbinol, hexone, n-amyl acetate and the like. The uranium values may be recovered from the organic phase by back extraction with water.

Hyde, E.K.; Katzin, L.I.; Wolf, M.J.

1959-07-14T23:59:59.000Z

406

PRODUCTION OF URANIUM  

DOE Patents (OSTI)

The production of uranium metal by the reduction of uranium tetrafluoride is described. Massive uranium metal of high purily is produced by reacting uranium tetrafluoride with 2 to 20% stoichiometric excess of magnesium at a temperature sufficient to promote the reaction and then mantaining the reaction mass in a sealed vessel at temperature in the range of 1150 to 2000 d C, under a superatomospheric pressure of magnesium for a period of time sufficient 10 allow separation of liquid uranium and liquid magnesium fluoride into separate layers.

Spedding, F.H.; Wilhelm, H.A.; Keller, W.H.

1958-04-15T23:59:59.000Z

407

Estimating market penetration of steam, hot water and chilled water in commercial sector using a new econometric model  

SciTech Connect

For the first time in the public domain, we have estimated the energy consumption and expenditures of district steam, hot water, and chilled water. Specifically, the combined energy consumption and expenditures of steam, hot water, and chilled water in 1989 were approximately 800 trillion Btu and 7 billion dollars, respectively. The purpose of this paper is to introduce a new model developed at Argonne National Laboratory (ANL) for estimating market penetration of steam, hot water, and chilled water systems in commercial buildings over the next 20 years. This research sponsored by the US Department of Energy (DOE) used the 1989 Commercial Building Energy Consumption Surveys (CBECS) to provide information on energy consumption and expenditures and related factors in about 6000 buildings. A general linear model to estimated parameters for each of the three equations for steam, hot water, and chilled water demand in the buildings. A logarithmic transformation was made for the dependent variable and most of the explanatory variables. The model provides estimates of building steam, hot water, and chilled water consumption and expenditures between now and the year 2010. This model should be of interest to policymakers, researchers, and market participants involved with planning and implementing community-based energy-conserving and environmentally beneficial energy systems.

Teotia, A.P.S.; Karvelas, D.E.; Daniels, E.J.; Anderson, J.L.

1993-08-01T23:59:59.000Z

408

Concentrating Solar Deployment System (CSDS) -- A New Model for Estimating U.S. Concentrating Solar Power (CSP) Market Potential: Preprint  

DOE Green Energy (OSTI)

This paper presents the Concentrating Solar Deployment System Model (CSDS). CSDS is a multiregional, multitime-period, Geographic Information System (GIS), and linear programming model of capacity expansion in the electric sector of the United States. CSDS is designed to address the principal market and policy issues related to the penetration of concentrating solar power (CSP) electric-sector technologies. This paper discusses the current structure, capabilities, and assumptions of the model. Additionally, results are presented for the impact of continued research and development (R&D) spending, an extension to the investment tax credit (ITC), and use of a production tax credit (PTC). CSDS is an extension of the Wind Deployment System (WinDS) model created at the National Renewable Energy Laboratory (NREL). While WinDS examines issues related to wind, CSDS is an extension to analyze similar issues for CSP applications. Specifically, a detailed representation of parabolic trough systems with thermal storage has been developed within the existing structure.

Blair, N.; Mehos, M.; Short, W.; Heimiller, D.

2006-04-01T23:59:59.000Z

409

Method for converting uranium oxides to uranium metal  

DOE Green Energy (OSTI)

A process is described for converting scrap and waste uranium oxide to uranium metal. The uranium oxide is sequentially reduced with a suitable reducing agent to a mixture of uranium metal and oxide products. The uranium metal is then converted to uranium hydride and the uranium hydride-containing mixture is then cooled to a temperature less than -100.degree. C. in an inert liquid which renders the uranium hydride ferromagnetic. The uranium hydride is then magnetically separated from the cooled mixture. The separated uranium hydride is readily converted to uranium metal by heating in an inert atmosphere. This process is environmentally acceptable and eliminates the use of hydrogen fluoride as well as the explosive conditions encountered in the previously employed bomb-reduction processes utilized for converting uranium oxides to uranium metal.

Duerksen, Walter K. (Norris, TN)

1988-01-01T23:59:59.000Z

410

Method for converting uranium oxides to uranium metal  

DOE Patents (OSTI)

A process is described for converting scrap and waste uranium oxide to uranium metal. The uranium oxide is sequentially reduced with a suitable reducing agent to a mixture of uranium metal and oxide products. The uranium metal is then converted to uranium hydride and the uranium hydride-containing mixtures is then cooled to a temperature less than -100/sup 0/C in an inert liquid which renders the uranium hydride ferromagnetic. The uranium hydride is then magnetically separated from the cooled mixture. The separated uranium hydride is readily converted to uranium metal by heating in an inert atmosphere. This process is environmentally acceptable and eliminates the use of hydrogen fluoride as well as the explosive conditions encountered in the previously employed bomb-reduction processes utilized for converting uranium oxides to uranium metal.

Duerksen, W.K.

1987-01-01T23:59:59.000Z

411

An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical Analysis for New England  

E-Print Network (OSTI)

the prices of fuels at energy markets and the transportation/distribution costs in making their economic the fuel price at each energy fuel market am. Since this paper focuses on the electric power supply chain markets that captures both the economic network transactions in energy supply markets and the physical

Nagurney, Anna

412

Implied volatility in oil markets  

Science Conference Proceedings (OSTI)

Modelling the implied volatility surface as a function of an option's strike price and maturity is a subject of extensive research in financial markets. The implied volatility in commodity markets is much less studied, due to a limited liquidity and ...

Svetlana Borovkova; Ferry J. Permana

2009-04-01T23:59:59.000Z

413

FAQ 1-What is uranium?  

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

What is uranium? What is uranium? What is uranium? Uranium is a radioactive element that occurs naturally in low concentrations (a few parts per million) in soil, rock, and surface and groundwater. It is the heaviest naturally occurring element, with an atomic number of 92. Uranium in its pure form is a silver-colored heavy metal that is nearly twice as dense as lead. In nature, uranium atoms exist as several isotopes: primarily uranium-238, uranium-235, and a very small amount of uranium-234. (Isotopes are different forms of an element that have the same number of protons in the nucleus, but a different number of neutrons.) In a typical sample of natural uranium, most of the mass (99.27%) consists of atoms of uranium-238. About 0.72% of the mass consists of atoms of uranium-235, and a very small amount (0.0055% by mass) is uranium-234.

414

ADS-Directory Services for Mobile Ad-Hoc Networks Based on an Information Market Model  

E-Print Network (OSTI)

Ubiquitous computing based on small mobile devices using wireless communication links is becoming very attractive. The computational power and storage capacities provided allow the execution of sophisticated applications. Due to the fact that sharing of information is a central problem for distributed applications, the development of self organizing middleware services providing high level interfaces for information managing is essential. ADS is a directory service for mobile ad-hoc networks dealing with local and nearby information as well as providing access to distant information. The approach discussed throughout this paper is based upon the concept of information markets.

Hutter, Christian; Rothkugel, Steffen

2007-01-01T23:59:59.000Z

415

Modelling Volatilities and Conditional Correlations in Futures Markets with a Multivariate t Distribution  

E-Print Network (OSTI)

number of assets. However, in most applications in ?nance the Gaussian as- sumption that underlies the two step procedure is likely to be violated. To capture the fat-tailed nature of the distribution of asset returns, it is more appropriate if the DCC... observations, but is nev- ertheless capable of rendering the devolatized returns approximately Gaussian. One of the main reasons for the non-Gaussian behavior daily returns is pres- ence of jumps in the return process as documented for a number of markets...

Pesaran, Bahram; Pesaran, M Hashem

416

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

417

Preparation of uranium compounds  

SciTech Connect

UI.sub.3(1,4-dioxane).sub.1.5 and UI.sub.4(1,4-dioxane).sub.2, were synthesized in high yield by reacting turnings of elemental uranium with iodine dissolved in 1,4-dioxane under mild conditions. These molecular compounds of uranium are thermally stable and excellent precursor materials for synthesizing other molecular compounds of uranium including alkoxide, amide, organometallic, and halide compounds.

Kiplinger, Jaqueline L; Montreal, Marisa J; Thomson, Robert K; Cantat, Thibault; Travia, Nicholas E

2013-02-19T23:59:59.000Z

418

First Principles Calculations of Uranium and Uranium-Zirconium Alloys  

Science Conference Proceedings (OSTI)

Presentation Title, First Principles Calculations of Uranium and Uranium- Zirconium Alloys. Author(s), Benjamin Good, Benjamin Beeler, Chaitanya Deo, Sergey ...

419

Process for continuous production of metallic uranium and uranium alloys  

DOE Patents (OSTI)

A method is described for forming metallic uranium, or a uranium alloy, from uranium oxide in a manner which substantially eliminates the formation of uranium-containing wastes. A source of uranium dioxide is first provided, for example, by reducing uranium trioxide (UO{sub 3}), or any other substantially stable uranium oxide, to form the uranium dioxide (UO{sub 2}). This uranium dioxide is then chlorinated to form uranium tetrachloride (UCl{sub 4}), and the uranium tetrachloride is then reduced to metallic uranium by reacting the uranium chloride with a metal which will form the chloride of the metal. This last step may be carried out in the presence of another metal capable of forming one or more alloys with metallic uranium to thereby lower the melting point of the reduced uranium product. The metal chloride formed during the uranium tetrachloride reduction step may then be reduced in an electrolysis cell to recover and recycle the metal back to the uranium tetrachloride reduction operation and the chlorine gas back to the uranium dioxide chlorination operation. 4 figs.

Hayden, H.W. Jr.; Horton, J.A.; Elliott, G.R.B.

1995-06-06T23:59:59.000Z

420

Process for continuous production of metallic uranium and uranium alloys  

DOE Patents (OSTI)

A method is described for forming metallic uranium, or a uranium alloy, from uranium oxide in a manner which substantially eliminates the formation of uranium-containing wastes. A source of uranium dioxide is first provided, for example, by reducing uranium trioxide (UO.sub.3), or any other substantially stable uranium oxide, to form the uranium dioxide (UO.sub.2). This uranium dioxide is then chlorinated to form uranium tetrachloride (UCl.sub.4), and the uranium tetrachloride is then reduced to metallic uranium by reacting the uranium chloride with a metal which will form the chloride of the metal. This last step may be carried out in the presence of another metal capable of forming one or more alloys with metallic uranium to thereby lower the melting point of the reduced uranium product. The metal chloride formed during the uranium tetrachloride reduction step may then be reduced in an electrolysis cell to recover and recycle the metal back to the uranium tetrachloride reduction operation and the chlorine gas back to the uranium dioxide chlorination operation.

Hayden, Jr., Howard W. (Oakridge, TN); Horton, James A. (Livermore, CA); Elliott, Guy R. B. (Los Alamos, NM)

1995-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

DOE/EA-1607: Final Environmental Assessment for Disposition of DOE Excess Depleted Uranium, Natural Uranium, and Low-Enriched Uranium (June 2009)  

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

μCi/cc microcuries per cubic centimeter μCi/cc microcuries per cubic centimeter MAP mitigation action plan MEI maximally exposed individual mg/kg milligrams per kilogram mrem millirem mSv millisievert MT metric ton MTCA Model Toxics Control Act MTU metric tons of uranium N/A not applicable Final Environmental Assessment: Disposition of DOE Excess Depleted Uranium, Natural Uranium, and Low-Enriched Uranium vi NAAQS National Ambient Air Quality Standards NEF National Enrichment Facility NEPA National Environmental Policy Act NRC U.S. Nuclear Regulatory Commission NU natural uranium NUF 6 natural uranium hexafluoride pCi/g picocuries per gram PEIS programmatic environmental impact statement PM 2.5 particulate matter with a diameter of 2.5 microns or less PM 10 particulate matter with a diameter of 10 microns or less

422

Domestic Uranium Production Report  

Gasoline and Diesel Fuel Update (EIA)

Totals may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration: Form EIA-851A, "Domestic Uranium Production Report"...

423

Domestic Uranium Production Report  

Gasoline and Diesel Fuel Update (EIA)

1. U.S. uranium drilling activities, 2003-2012 Exploration Drilling Development Drilling Exploration and Development Drilling Year Number of Holes Feet (thousand) Number of Holes...

424

Uranium 'pearls' before slime  

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

harm to themselves, scientists have wondered how on Earth these microbes do it. For Shewanella oneidensis, a microbe that modifies uranium chemistry, the pieces are coming...

425

Uranium Purchases Report  

Reports and Publications (EIA)

Final issue. This report details natural and enriched uranium purchases as reported by owners and operators of commercial nuclear power plants. 1996 represents the most recent publication year.

Douglas Bonnar

1996-06-01T23:59:59.000Z

426

PRODUCTION OF URANIUM  

DOE Patents (OSTI)

An improved process is described for the magnesium reduction of UF/sub 4/ to produce uranium metal. In the past, there have been undesirable premature reactions between the Mg and the bomb liner or the UF/sub 4/ before the actual ignition of the bomb reaction. Since these premature reactions impair the yield of uranium metal, they have been inhibited by forming a protective film upon the particles of Mg by reacting it with hydrated uranium tetrafluoride, sodium bifluoride, uranyl fluoride, or uranium trioxide. This may be accomplished by adding about 0.5 to 2% of the additive to the bomb charge.

Ruehle, A.E.; Stevenson, J.W.

1957-11-12T23:59:59.000Z

427

Uranium Purchases Report 1995  

U.S. Energy Information Administration (EIA)

DOE/EIA–0570(95) Distribution Category UC–950 Uranium Purchases Report 1995 June 1996 Energy Information Administration Office of Coal, Nuclear, ...

428

Market Transformation  

DOE Green Energy (OSTI)

Summarizes the goals and activities of the DOE Solar Energy Technologies Program efforts within its market transformation subprogram.

Not Available

2008-09-01T23:59:59.000Z

429

2012 Domestic Uranium Production Report  

U.S. Energy Information Administration (EIA)

udrilling 2012 Domestic Uranium Production Report Next Release Date: May 2014 Table 1. U.S. uranium drilling activities, 2003-2012 Year Exploration Drilling

430

URANIUM LEACHING AND RECOVERY PROCESS  

DOE Patents (OSTI)

A process is described for recovering uranium from carbonate leach solutions by precipitating uranium as a mixed oxidation state compound. Uranium is recovered by adding a quadrivalent uranium carbon;te solution to the carbonate solution, adjusting the pH to 13 or greater, and precipitating the uranium as a filterable mixed oxidation state compound. In the event vanadium occurs with the uranium, the vanadium is unaffected by the uranium precipitation step and remains in the carbonate solution. The uranium-free solution is electrolyzed in the cathode compartment of a mercury cathode diaphragm cell to reduce and precipitate the vanadium.

McClaine, L.A.

1959-08-18T23:59:59.000Z

431

PROCESS FOR MAKING URANIUM HEXAFLUORIDE  

DOE Patents (OSTI)

A process is described for producing uranium hexafluoride by reacting uranium hexachloride with hydrogen fluoride at a temperature below about 150 deg C, under anhydrous conditions.

Rosen, R.

1959-07-14T23:59:59.000Z

432

Dissolving uranium oxide--aluminum fuel  

SciTech Connect

The dissolution of aluminum-clad uranium oxide-aluminum fuel was studied to provide basic data for dissolving this type of enriched uranium fuel at the Savannah River Plant. The studies also included the dissolution of a similar material prepared from scrap uranium oxides that were to be recycled through the solvent extraction process. The dissolving behavior of uranium oxide-aluminum core material is similar to that of U-Al alloy. Dissolving rates are rapid in HNO/sub 3/-Hg(NO/sub 3/)/sub 2/ solutions. Irradiation reduce s the dissolving rate and increases mechanical strength. A dissolution model for use in nuclear safety analyses is developed, . based on the observed dissolving characteristics. (auth)

Perkins, W.C.

1973-11-01T23:59:59.000Z

433

Efficiency of appliance models on the market before and after DOE standards  

E-Print Network (OSTI)

database of models listed in selected product directories published by the Association of Home Appliance

Meyers, Stephen

2004-01-01T23:59:59.000Z

434

Modeling the Long-Term Market Penetration of Wind in the United States  

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

Long-Term Long-Term Market Penetration of Wind in the United States July 2003 * NREL/CP-620-34469 W. Short, N. Blair, D. Heimiller, and V. Singh Presented at the American Wind Energy Association (AWEA) WindPower 2003 Conference Austin, Texas May 21, 2003 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * Battelle * Bechtel Contract No. DE-AC36-99-GO10337 NOTICE The submitted manuscript has been offered by an employee of the Midwest Research Institute (MRI), a contractor of the US Government under Contract No. DE-AC36-99GO10337. Accordingly, the US Government and MRI retain a nonexclusive royalty-free license to publish or reproduce the published

435

Engineering of markets and artifacts  

Science Conference Proceedings (OSTI)

In this paper, we continue the dialog started by Roth [19] between economics and engineering in the context of design of markets. We take the position that markets and engineered artifacts are thee the products of a social process of design formulation. ... Keywords: engineering design, market design, methodologies, modeling, testing

Eswaran Subrahmanian; Sarosh N. Talukdar

2003-09-01T23:59:59.000Z

436

Market Structure Across Retail Formats  

Science Conference Proceedings (OSTI)

We study how market structure within a product category varies across retail formats. Building on the literature on internal market structure, we estimate a joint store and brand choice model where the loading matrix of brand attributes are allowed to ... Keywords: brand maps, heterogeniety, market structure, retail formats

Karsten Hansen; Vishal Singh

2009-07-01T23:59:59.000Z

437

Why Markets Make Mistakes  

E-Print Network (OSTI)

Many models of markets are based on assumptions of rationality, transparency, efficiency, and homogeneity in various combinations. They assume, at least implicitly, that decision makers understand the structure of the ...

Weil, Henry Birdseye

2009-08-12T23:59:59.000Z

438

Essays in capital markets  

E-Print Network (OSTI)

This thesis consists of three essays in capital markets. The first essay presents a dynamic asset pricing model with heterogeneously informed agents. Unlike previous research, the general case where differential information ...

Makarov, Igor, 1976-

2006-01-01T23:59:59.000Z

439

U. S. forms uranium enrichment corporation  

SciTech Connect

After almost 40 years of operation, the federal government is withdrawing from the uranium enrichment business. On July 1, the Department of Energy turned over to a new government-owned entity--the US Enrichment Corp. (USEC)--both the DOE enrichment plants at Paducah, Ky., and Portsmouth, Ohio, and domestic and international marketing of enriched uranium from them. Pushed by the inability of DOE's enrichment operations to meet foreign competition, Congress established USEC under the National Energy Policy Act of 1992, envisioning the new corporation as the first step to full privatization. With gross revenues of $1.5 billion in fiscal 1992, USEC would rank 275th on the Fortune 500 list of top US companies. USEC will lease from DOE the Paducah and Portsmouth facilities, built in the early 1950s, which use the gaseous diffusion process for uranium enrichment. USEC's stock is held by the US Treasury, to which it will pay annual dividends. Martin Marietta Energy Systems, which has operated Paducah since 1984 and Portsmouth since 1986 for DOE, will continue to operate both plants for USEC. Closing one of the two facilities will be studied, especially in light of a 40% world surplus of capacity over demand. USEC also will consider other nuclear-fuel-related ventures. USEC will produce only low-enriched uranium, not weapons-grade material. Indeed, USEC will implement a contract now being completed under which the US will purchase weapons-grade uranium from dismantled Russian nuclear weapons and convert it into low-enriched uranium for power reactor fuel.

Seltzer, R.

1993-07-12T23:59:59.000Z

440

Capacity Markets and Market Stability  

Science Conference Proceedings (OSTI)

The good news is that market stability can be achieved through a combination of longer-term contracts, auctions for far enough in the future to permit new entry, a capacity management system, and a demand curve. The bad news is that if and when stable capacity markets are designed, the markets may seem to be relatively close to where we started - with integrated resource planning. Market ideologues will find this anathema. (author)

Stauffer, Hoff

2006-04-15T23:59:59.000Z

Note: This page contains sample records for the topic "uranium market model" 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

An Analysis About Market Efficiency in International Petroleum Markets: Evidence from Three Oil Commodities  

Science Conference Proceedings (OSTI)

A modified model for testing market efficiency is presented, with introducing convenience yield and using lagged spot prices to adjust risk premium. Subsequently, an examination about market efficiency in international petroleum markets is given using ... Keywords: Cointegration analysis, Convenience yield, Futures price spot price, International petroleum markets, Market efficiency, Risk premium

Wang Shuping; Li Jianping; Zhang Shulin

2007-05-01T23:59:59.000Z

442

URANIUM SEPARATION PROCESS  

DOE Patents (OSTI)

The separation of uranium from an aqueous solution containing a water soluble uranyl salt is described. The process involves adding an alkali thiocyanate to the aqueous solution, contacting the resulting solution with methyl isobutyl ketons and separating the resulting aqueous and organic phase. The uranium is extracted in the organic phase as UO/sub 2/(SCN)/sub/.

McVey, W.H.; Reas, W.H.

1959-03-10T23:59:59.000Z

443

Uranium from phosphate ores  

Science Conference Proceedings (OSTI)

Phosphate rock, the major raw material for phosphate fertilizers, contains uranium that can be recovered when the rock is processed. This makes it possible to produce uranium in a country that has no uranium ore deposits. The author briefly describes the way that phosphate fertilizers are made, how uranium is recovered in the phosphate industry, and how to detect uranium recovery operations in a phosphate plant. Uranium recovery from the wet-process phosphoric acid involves three unit operations: (1) pretreatment to prepare the acid; (2) solvent extraction to concentrate the uranium; (3) post treatment to insure that the acid returning to the acid plant will not be harmful downstream. There are 3 extractants that are capable of extracting uranium from phosphoric acid. The pyro or OPPA process uses a pyrophosphoric acid that is prepared on site by reacting an organic alcohol (usually capryl alcohol) with phosphorous pentoxide. The DEPA-TOPO process uses a mixture of di(2-ethylhexyl)phosphoric acid (DEPA) and trioctyl phosphine oxide (TOPO). The components can be bought separately or as a mixture. The OPAP process uses octylphenyl acid phosphate, a commercially available mixture of mono- and dioctylphenyl phosphoric acids. All three extractants are dissolved in kerosene-type diluents for process use.

Hurst, F.J.

1983-01-01T23:59:59.000Z

444

DECONTAMINATION OF URANIUM  

DOE Patents (OSTI)

A process is given for separating fission products from uranium by extracting the former into molten aluminum. Phase isolation can be accomplished by selectively hydriding the uranium at between 200 and 300 deg C and separating the hydride powder from coarse particles of fissionproduct-containing aluminum. (AEC)

Spedding, F.H.; Butler, T.A.

1962-05-15T23:59:59.000Z

445

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Policy Office Electricity Modeling System POEMS U.S. Department of Energy NANGAS/IPM NANGAS North American

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

2005-01-01T23:59:59.000Z

446

DOE - Office of Legacy Management -- Colonial Uranium Co - CO 10  

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

Colonial Uranium Co - CO 10 Colonial Uranium Co - CO 10 FUSRAP Considered Sites Site: Colonial Uranium Co. (CO.10 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Grand Junction , Colorado CO.10-1 Evaluation Year: 1987 CO.10-2 Site Operations: Processed thorium concentrates for commercial market at another site. AEC purchased small quantity (100 lbs) for testing. CO.10-1 Site Disposition: Eliminated - No Authority - Commercial operation CO.10-2 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Thorium CO.10-1 Radiological Survey(s): No Site Status: Eliminated from consideration under FUSRAP Also see Documents Related to Colonial Uranium Co. CO.10-1 - AEC Memorandum; Faulkner to Sapirie; Subject: Testing of

447

recycled_uranium.cdr  

Office of Legacy Management (LM)

Recycled Uranium and Transuranics: Recycled Uranium and Transuranics: Their Relationship to Weldon Spring Site Remedial Action Project Introduction Historical Perspective On August 8, 1999, Energy Secretary Bill Richardson announced a comprehensive set of actions to address issues raised at the Paducah, Kentucky, Gaseous Diffusion Plant that may have had the potential to affect the health of the workers. One of the issues addressed the need to determine the extent and significance of radioactive fission products and transuranic elements in the uranium feed and waste products throughout the U.S. Department of Energy (DOE) national complex. Subsequently, a DOE agency-wide Recycled Uranium Mass Balance Project (RUMBP) was initiated. For the Weldon Spring Uranium Feed Materials Plant (WSUFMP or later referred to as Weldon Spring),

448

URANIUM PRECIPITATION PROCESS  

DOE Patents (OSTI)

A method for the recovery of uranium from sulfuric acid solutions is described. In the present process, sulfuric acid is added to the uranium bearing solution to bring the pH to between 1 and 1.8, preferably to about 1.4, and aluminum metal is then used as a reducing agent to convert hexavalent uranium to the tetravalent state. As the reaction proceeds, the pH rises amd a selective precipitation of uranium occurs resulting in a high grade precipitate. This process is an improvement over the process using metallic iron, in that metallic aluminum reacts less readily than metallic iron with sulfuric acid, thus avoiding consumption of the reducing agent and a raising of the pH without accomplishing the desired reduction of the hexavalent uranium in the solution. Another disadvantage to the use of iron is that positive ferric ions will precipitate with negative phosphate and arsenate ions at the pH range employed.

Thunaes, A.; Brown, E.A.; Smith, H.W.; Simard, R.

1957-12-01T23:59:59.000Z

449

Reaction-Based Reactive Transport Modeling of Iron Reduction and Uranium Immobilization at Area 2 of the NABIR Field Research Center  

Science Conference Proceedings (OSTI)

This report summarizes research conducted in conjunction with a project entitled “Reaction-Based Reactive Transport Modeling of Iron Reduction and Uranium Immobilization at Area 2 of the NABIR Field Research Center”, which was funded through the Integrative Studies Element of the former NABIR Program (now the Environmental Remediation Sciences Program) within the Office of Biological and Environmental Research. Dr. William Burgos (The Pennsylvania State University) was the overall PI/PD for the project, which included Brian Dempsey (Penn State), Gour-Tsyh (George) Yeh (Central Florida University), and Eric Roden (formerly at The University of Alabama, now at the University of Wisconsin) as separately-funded co-PIs. The project focused on development of a mechanistic understanding and quantitative models of coupled Fe(III)/U(VI) reduction in FRC Area 2 sediments. The work builds on our previous studies of microbial Fe(III) and U(VI) reduction, and was directly aligned with the Scheibe et al. ORNL FRC Field Project at Area 2.

Burgos, W.D.

2009-09-02T23:59:59.000Z

450

Applying mathematical finance tools to the competitive Nordic electricity market.  

E-Print Network (OSTI)

??This thesis models competitive electricity markets using the methods of mathematical finance. Fundamental problems of finance are market price modelling, derivative pricing, and optimal portfolio… (more)

Vehviläinen, Iivo

2004-01-01T23:59:59.000Z

451

MARKET BASED APPROACHES  

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

BASED BASED APPROACHES K.G. DULEEP MANAGING DIRECTOR EEA BACKGROUND * Introduction of fuel-cell vehicles and jump- starting the market will require significant government actions in the near term * Widespread understanding that command- and-control regulations can work for only very low sales volume. * Increased public sales and acceptance will need development of market based policies. ANALYSIS OBJECTIVES * EEA currently evaluating a number of market based approaches to enhancing fuel economy of conventional and hybrid vehicles. * Primary objective of effort is to evaluate a range of market based approaches that can be implemented when FCV models are market ready, and identify ones that could make a difference. * Effort is in the context of modifying existing approaches to special needs of FCVs

452

Electricity Market Module  

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

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

453

The uranium cylinder assay system for enrichment plant safeguards  

Science Conference Proceedings (OSTI)

Safeguarding sensitive fuel cycle technology such as uranium enrichment is a critical component in preventing the spread of nuclear weapons. A useful tool for the nuclear materials accountancy of such a plant would be an instrument that measured the uranium content of UF{sub 6} cylinders. The Uranium Cylinder Assay System (UCAS) was designed for Japan Nuclear Fuel Limited (JNFL) for use in the Rokkasho Enrichment Plant in Japan for this purpose. It uses total neutron counting to determine uranium mass in UF{sub 6} cylinders given a known enrichment. This paper describes the design of UCAS, which includes features to allow for unattended operation. It can be used on 30B and 48Y cylinders to measure depleted, natural, and enriched uranium. It can also be used to assess the amount of uranium in decommissioned equipment and waste containers. Experimental measurements have been carried out in the laboratory and these are in good agreement with the Monte Carlo modeling results.

Miller, Karen A [Los Alamos National Laboratory; Swinhoe, Martyn T [Los Alamos National Laboratory; Marlow, Johnna B [Los Alamos National Laboratory; Menlove, Howard O [Los Alamos National Laboratory; Rael, Carlos D [Los Alamos National Laboratory; Iwamoto, Tomonori [JNFL; Tamura, Takayuki [JNFL; Aiuchi, Syun [JNFL

2010-01-01T23:59:59.000Z

454

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

455

Evolution of isotopic composition of reprocessed uranium during the multiple recycling in light water reactors with natural uranium feed  

Science Conference Proceedings (OSTI)

A complex approach based on the consistent modeling of neutron-physics processes and processes of cascade separation of isotopes is applied for analyzing physical problems of the multiple usage of reprocessed uranium in the fuel cycle of light water reactors. A number of scenarios of multiple recycling of reprocessed uranium in light water reactors are considered. In the process, an excess absorption of neutrons by the {sup 236}U isotope is compensated by re-enrichment in the {sup 235}U isotope. Specific consumptions of natural uranium for re-enrichment of the reprocessed uranium depending on the content of the {sup 232}U isotope are obtained.

Smirnov, A. Yu., E-mail: a.y.smirnoff@rambler.ru; Sulaberidze, G. A. [National Research Nuclear University MEPhI (Russian Federation); Alekseev, P. N.; Dudnikov, A. A.; Nevinitsa, V. A., E-mail: neva@dhtp.kiae.ru; Proselkov, V. N.; Chibinyaev, A. V. [Russian Research Centre Kurchatov Institute (Russian Federation)

2012-12-15T23:59:59.000Z

456

An agent-based model to study market penetration of plug-in hybrid electric vehicles  

E-Print Network (OSTI)

that a potential synergy from a gasoline tax with proceeds is used to fund research into longer-range lower- cost) indicate PHEV greenhouse gas emissions to be about half of that of current gasoline and diesel motor fuels model the system. We examine sensitivity of the model to gasoline prices, to accuracy in estimation

Eppstein, Margaret J.

457

India's Worsening Uranium Shortage  

Science Conference Proceedings (OSTI)

As a result of NSG restrictions, India cannot import the natural uranium required to fuel its Pressurized Heavy Water Reactors (PHWRs); consequently, it is forced to rely on the expediency of domestic uranium production. However, domestic production from mines and byproduct sources has not kept pace with demand from commercial reactors. This shortage has been officially confirmed by the Indian Planning Commission’s Mid-Term Appraisal of the country’s current Five Year Plan. The report stresses that as a result of the uranium shortage, Indian PHWR load factors have been continually decreasing. The Uranium Corporation of India Ltd (UCIL) operates a number of underground mines in the Singhbhum Shear Zone of Jharkhand, and it is all processed at a single mill in Jaduguda. UCIL is attempting to aggrandize operations by establishing new mines and mills in other states, but the requisite permit-gathering and development time will defer production until at least 2009. A significant portion of India’s uranium comes from byproduct sources, but a number of these are derived from accumulated stores that are nearing exhaustion. A current maximum estimate of indigenous uranium production is 430t/yr (230t from mines and 200t from byproduct sources); whereas, the current uranium requirement for Indian PHWRs is 455t/yr (depending on plant capacity factor). This deficit is exacerbated by the additional requirements of the Indian weapons program. Present power generation capacity of Indian nuclear plants is 4350 MWe. The power generation target set by the Indian Department of Atomic Energy (DAE) is 20,000 MWe by the year 2020. It is expected that around half of this total will be provided by PHWRs using indigenously supplied uranium with the bulk of the remainder provided by breeder reactors or pressurized water reactors using imported low-enriched uranium.

Curtis, Michael M.

2007-01-15T23:59:59.000Z

458

Power Marketing  

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

Remarketing Effort Hoover Coordinating Committee Meeting FY2011 - June 7 Mead Transformer Presentation Navajo Navajo Surplus Marketing Parker-Davis Parker-Davis Project...

459

Market Transformation  

Fuel Cell Technologies Publication and Product Library (EERE)

This Fuel Cell Technologies Program fact sheet outlines current status and challenges in the market transformation of hydrogen and fuel cell technologies.

460

Power Marketing  

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

Certificate Solicitations Benefit Review Energy Services Rates and Repayment WindHydro Integration Feasibility Study Send correspondence to: Power Marketing Manager Western...

Note: This page contains sample records for the topic "uranium market model" 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

Fate of Uranium during Sodium Aluminosilicate Formation under Waste Tank Conditions  

SciTech Connect

Experiments have been conducted to examine the fate of uranium during the formation of sodium aluminosilicate (NAS) when wastes containing high aluminate concentrations are mixed with wastes of high silicate concentration. Testing was conducted at varying degrees of uranium saturation. Testing examined typical tank conditions, e.g., stagnant, slightly elevated temperature (50 C). The results showed that under sub-saturated conditions uranium is not removed from solution to any large extent in both simulant testing and actual tank waste testing. There are data supporting a small removal due to sorption of uranium on sites in the NAS. Above the solubility limit the data are clear that a reduction in uranium concentration occurs with the formation of aluminosilicate. This uranium precipitation is fairly rapid and ceases when uranium reaches its solubility limit. At the solubility limit, it appears that uranium is not affected, but further testing might be warranted. Lastly, analysis of the uranium speciation in a Tank 49H set of samples showed the uranium to be soluble. Analysis of the solution composition and subsequent use of the Hobb's uranium solubility model indicated a uranium solubility limit of 32 mg/L. The measured value of uranium in the Tank 49H matched the model prediction.

Wilmarth, B

2005-06-22T23:59:59.000Z

462

RECOVERY OF URANIUM VALUES  

DOE Patents (OSTI)

A liquid-liquid extraction method is presented for recovering uranium values from an aqueous acidic solution by means of certain high molecular weight amine in the amine classes of primary, secondary, heterocyclic secondary, tertiary, or heterocyclic tertiary. The uranium bearing aqueous acidic solution is contacted with the selected amine dissolved in a nonpolar water-immiscible organic solvent such as kerosene. The uranium which is substantially completely exiracted by the organic phase may be stripped therefrom by waters and recovered from the aqueous phase by treatment into ammonia to precipitate ammonium diuranate.

Brown, K.B.; Crouse, D.J. Jr.; Moore, J.G.

1959-03-10T23:59:59.000Z

463

Depleted uranium management alternatives  

SciTech Connect

This report evaluates two management alternatives for Department of Energy depleted uranium: continued storage as uranium hexafluoride, and conversion to uranium metal and fabrication to shielding for spent nuclear fuel containers. The results will be used to compare the costs with other alternatives, such as disposal. Cost estimates for the continued storage alternative are based on a life-cycle of 27 years through the year 2020. Cost estimates for the recycle alternative are based on existing conversion process costs and Capital costs for fabricating the containers. Additionally, the recycle alternative accounts for costs associated with intermediate product resale and secondary waste disposal for materials generated during the conversion process.

Hertzler, T.J.; Nishimoto, D.D.

1994-08-01T23:59:59.000Z

464

Comparative analysis of market-based health delivery models in rural India  

E-Print Network (OSTI)

The rapid economic growth in India and accompanying demand for improved healthcare, particularly in rural populations, make a compelling case for global pharmaceutical companies to develop new business models to serve these ...

Yap, Nicole

2013-01-01T23:59:59.000Z

465

Efficiency of appliance models on the market before and after DOE standards  

E-Print Network (OSTI)

Models in AHAM Directory Compared to DOE Standards June July2002 2001 standard A d just ed V o lume ( cu.f t . ) LBNL-Compared to1990 DOE Standard March1991 Oct 1987 EER

Meyers, Stephen

2004-01-01T23:59:59.000Z

466

Modeling the Impact of State and Federal Incentives on Concentrating Solar Power Market Penetration  

DOE Green Energy (OSTI)

This paper presents methodology and results from the Regional Energy Deployment System Model (ReEDS) examining the ability of concentrating solar power (CSP), other renewables, and electricity storage to contribute to the U.S. electric sector.

Blair, N.; Short, W.; Mehos, M.

2008-03-01T23:59:59.000Z

467

Using Solar Business Models to Expand the Distributed Wind Market (Presentation)  

DOE Green Energy (OSTI)

This presentation to attendees at Wind Powering America's All-States Summit in Chicago describes business models that were responsible for rapid growth in the solar industry and that may be applicable to the distributed wind industry as well.

Savage, S.

2013-05-01T23:59:59.000Z

468

System for the Analysis of Global Energy Markets - Vol. II, Model Documentation  

Reports and Publications (EIA)

The second volume provides a data implementation guide that lists all naming conventions and model constraints. In addition, Volume 1 has two appendixes that provide a schematic of the SAGE structure and a listing of the source code, respectively.

Barry Kapilow-Cohen

2003-08-01T23:59:59.000Z

469

Video: The Depleted Uranium Hexafluoride Story  

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

Depleted UF6 Story The Depleted Uranium Hexafluoride Story An overview of Uranium, its isotopes, the need and history of diffusive separation, the handling of the Depleted Uranium...

470

BEHAVIOR OF METALLIC INCLUSIONS IN URANIUM DIOXIDE  

E-Print Network (OSTI)

Metallic Inclusions in Uranium Dioxide", LBL-11117 (1980).in Hypostoichiornetric Uranium Dioxide 11 , LBL-11095 (OF METALLIC INCLUSIONS IN URANIUM DIOXIDE Rosa L. Yang and

Yang, Rosa L.

2013-01-01T23:59:59.000Z

471

Fission Enhanced diffusion of uranium in zirconia N. Brerd, A. Chevarier, N. Moncoffre,  

E-Print Network (OSTI)

Fission Enhanced diffusion of uranium in zirconia N. Bérerd, A. Chevarier, N. Moncoffre, Institut and Fission Enhanced Diffusion (FED) of uranium into zirconia, representative of the inner face of cladding temperature is measured by an IR pyrometer. A model is proposed to deduce an apparent uranium diffusion

Paris-Sud XI, Université de

472

BIOSORPTION OF URANIUM ON SARGASSUM BIOMASS JINBAI YANG and BOHUMIL VOLESKY*  

E-Print Network (OSTI)

BIOSORPTION OF URANIUM ON SARGASSUM BIOMASS JINBAI YANG and BOHUMIL VOLESKY* Department of Chemical uranium sorption capacity exceeding 560 mg/g, 330 mg/g and 150 mg/g at pH 4.0, 3.2 and 2.6, respectively interpreted in terms of the Langmuir model. The sorption system pH profoundly aected uranium sorption

Volesky, Bohumil

473

Internet market strategies: Antecedents and implications  

Science Conference Proceedings (OSTI)

The Web is a new market channel that has become a serious alternative to traditional channels. At present, there is little strategy analysis available to guide a company's decision about its involvement in the internet market. In this paper, we differentiate ... Keywords: Creative pricing policies, IMS model, Internet competition, Internet market, Mixed strategy, Pure strategy, Resource-based theory, Traditional markets

Jaeki Song; Fatemeh Mariam Zahedi

2006-03-01T23:59:59.000Z

474

Electricity Market Module  

Reports and Publications (EIA)

Documents the Electricity Market Module as it was used for the Annual Energy Outlook 2013. The Electricity Market Module (EMM) is the electricity supply component of the National Energy Modeling System (NEMS). The EMM represents the generation, transmission, and pricing of electricity. It consists of four submodules: the Electricity Capacity Planning (ECP) Submodule, the Electricity Fuel Dispatch (EFD) Submodule, the Electricity Finance and Pricing (EFP) Submodule, and the Electricity Load and Demand (ELD) Submodule.

Jeff Jones

2013-07-24T23:59:59.000Z

475

Model Averaging in Risk Management with an Application to Futures Markets  

E-Print Network (OSTI)

symmetric matrix, a0 is an N(N +1)/2× 1 vector, and A0, B0 are N(N +1)/2×N(N +1)/2 matrices of unknown coefficients. It is evident that even such a low-order model already contains a large number of parameters even for moderate values of N which renders... averaging process and the differences in their forecast error variances can have important implications for the shape of the resulting average model in general and the degree of its fat-tailness, in particular. Therefore, it seems likely that averaging...

Pesaran, M Hashem; Schleicher, C; Zaffaroni, P

476

Domestic Uranium Production Report  

Gasoline and Diesel Fuel Update (EIA)

4. U.S. uranium mills by owner, location, capacity, and operating status at end of the year, 2008-2012 4. U.S. uranium mills by owner, location, capacity, and operating status at end of the year, 2008-2012 Mill Owner Mill Name County, State (existing and planned locations) Milling Capacity (short tons of ore per day) Operating Status at End of the Year 2008 2009 2010 2011 2012 Cotter Corporation Canon City Mill Fremont, Colorado 0 Standby Standby Standby Reclamation Demolished Denison White Mesa LLC White Mesa Mill San Juan, Utah 2,000 Operating Operating Operating Operating Operating Energy Fuels Resources Corporation Piñon Ridge Mill Montrose, Colorado 500 Developing Developing Developing Permitted And Licensed Partially Permitted And Licensed Kennecott Uranium Company/Wyoming Coal Resource Company Sweetwater Uranium Project Sweetwater, Wyoming 3,000 Standby Standby Standby Standby Standby

477

Uranium-Based Catalysts  

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

Uranium-Based Catalysts S. H. Overbury, Cyrus Riahi-Nezhad, Zongtao Zhang, Sheng Dai, and Jonathan Haire Oak Ridge National Laboratory* P.O. Box 2008 Oak Ridge, Tennessee...

478

Domestic Uranium Production Report  

Annual Energy Outlook 2012 (EIA)

6. Employment in the U.S. uranium production industry by category, 2003-2012 person-years Year Exploration Mining Milling Processing Reclamation Total 2003 W W W W 117 321 2004 18...

479

Uranium Management and Policy  

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

The Office of Uranium Management and Policy (NE-54), as part of the Office of Fuel Cycle Technologies (NE-5), supports the Department of Energy (DOE) by assuring domestic supplies of fuel for...

480

Chemical Forms of Uranium  

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

such as water vapor in the air, the UF6 and water react, forming corrosive hydrogen fluoride (HF) and a uranium-fluoride compound called uranyl fluoride (UO2F2). For this reason,...

Note: This page contains sample records for the topic "uranium market model" 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.