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


1

2003 DOE IGCA Inventory Data for web.xls | Department of...  

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

3 DOE IGCA Inventory Data for web.xls&0; 2003 DOE IGCA Inventory Data for web.xls&0; 2003 DOE IGCA Inventory Data for web.xls&0; More Documents & Publications...

2

R:\\Test Library\\Inventory\\Inventory as of March 21.07.xls TEST LIBRARY INVENTORY AS OF MARCH 21, 2007  

E-Print Network (OSTI)

R:\\Test Library\\Inventory\\Inventory as of March 21.07.xls TEST LIBRARY INVENTORY AS OF MARCH 21 Complete test (box) Shelf #2 1 ASDS Asperger Syndrome Diagnostic Scale 2001 Complete test Drawer #1 1 AOIR Assessment of Interpersonal Relations 1993 Test - restricted Drawer #1 1 ADI-R Autism Diagnostic Interview

Saskatchewan, University of

3

2003 DOE IGCA Inventory Data for web.xls  

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

3 Commercial and Inherently Governmental FTE Inventory Worksheet 3 Commercial and Inherently Governmental FTE Inventory Worksheet Org Unit Additional Information ID Agency Bureau Organization unit City StateCode Country Total FTEs FunctionCode Status ReasonCode YrFirstOnInventory YearofCostComapre CIF/FTESavings EstAnnualSavings MEOPerfReview 3659 019 60 AB Washington, DC DC US 1 Y210 I 1999 3660 019 60 AB Washington, DC DC US 1 Y210 I 1999 3661 019 60 AB Washington, DC DC US 1 Y000 C B 1999 3662 019 60 AB Washington, DC DC US 1 Y815 C B 2003 3663 019 60 AB Washington, DC DC US 1 Y815 C A 1999 3664 019 60 AB Washington, DC DC US 1 Y815 C A 2002 4060 019 10 AL CARLSBAD NM US 1 E100 I 1999 4061 019 10 AL CARLSBAD NM US 1 E100 I 2003 4062 019 10 AL CARLSBAD NM US 1 E100 I 1999 4063 019 10 AL CARLSBAD NM US 1 Y401 I 1999 4064 019 10 AL CARLSBAD NM US 1 Y401 I 2003 4065 019 10 AL CARLSBAD NM US 1 E100 I 1999 4066 019 10 AL CARLSBAD NM US 1 E100 I 1999 4067 019 10 AL CARLSBAD NM

4

ITP_Data_Centers.xls | Department of Energy  

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

ITPDataCenters.xls ITPDataCenters.xls ITPDataCenters.xls More Documents & Publications ProjectDescriptionsITPARRAAwards.xls 2003 DOE IGCA Inventory Data for web.xls&0;...

5

OMBDOEFAIR2005.xls | Department of Energy  

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

More Documents & Publications Intnl-NatUnionlistingfor web page2.07Rev2.xls&0; Attachment 5 Volume II Pricing Matrix.xls&0; 2003 DOE IGCA Inventory Data for web.xls&0;...

6

life cycle inventory | OpenEI  

Open Energy Info (EERE)

life cycle inventory life cycle inventory Dataset Summary Description Datasets are for the US electricity grid system for eGrid regions (AKGD, AKMS, AZNM, CAMX, ERCT, FRCC, HIMS, HIOA, MROE, MROW, NEWE, NWPP, NYCW, NYLI, NYUP, RFCE, RFCM, RFCW, RMPA, SPNO, SPSO, SRMV, SRMW, SRSO, SRTV, SRVC) for 2008. The data is provided in life cycle inventory forms (xls and xml) . A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the eGrid regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the eGrid regions Source USLCI Database Date Released Unknown Date Updated Unknown Keywords eGrid Electricity grid LCI life cycle inventory US Data application/zip icon egrid_electricity_lci_datasets_2008.zip (zip, 7 MiB)

7

Attachment B.xls | Department of Energy  

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

B.xls Attachment B.xls More Documents & Publications Attachment 5 Volume II Pricing Matrix.xls&0; Attachment 6 Volume V Pricing Matrix for Optional Enhancements.xls&0;...

8

EIA910_Form.xls  

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

- - - - - - Address 2: City: State: Zip: - 1. Report State (Enter one of the following States in the box): District of Columbia, Florida, 2. To how many end-use customers did you sell natural gas? 3. 4. For companies reporting sales in all States except Georgia: 5. For companies reporting sales in Georgia: has sales to residential and/or commercial end-use customers. Therm Therm (Number of Customers) Comments: Identify any unusual aspects of your reporting month's activity.

9

UserLabInventory-v1.xls  

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

Yes Agarose (LMP) Fisher S ? ? 1 10 g Bargar 2003 Add 131 113 Clean Room C G No Ammonium fluoride, 40% Kanto Corp. L 900101 12125-01-8 1 4.2 kg Steven Sun 2008 Add 131 113 CB C No...

10

FIMS Data Validation Schedule FY 2010_090729.xls | Department...  

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

FIMS Data Validation Schedule FY 2010090729.xls FIMS Data Validation Schedule FY 2010090729.xls FIMS Data Validation Schedule FY 2010090729.xls More Documents & Publications...

11

The Mate Retention Inventory-Short Form (MRI-SF) David M. Buss a,*, Todd K. Shackelford b  

E-Print Network (OSTI)

The Mate Retention Inventory-Short Form (MRI-SF) David M. Buss a,*, Todd K. Shackelford b , William devoted to retaining a mate (Buss, 1988b; Buss & Shackelford, 1997). For many species, long-term mate non-married couples (Buss, 1988a, 1988b) as well as newlywed couples (Buss & Shackelford, 1997). Men

Pillow, Jonathan

12

Fig1.xls  

Gasoline and Diesel Fuel Update (EIA)

June 2010 June 2010 1 June 2010 Short-Term Energy Outlook June 8, 2010 Release Highlights  Crude oil prices fluctuated considerably last month, with the West Texas Intermediate (WTI) spot price ranging from a high of $86 per barrel on May 3 to a low of $65 on May 25, before ending the month at $74. According to some market analysts, uncertainty over the global economic recovery, particularly with respect to Europe's debt crisis and the tightening of credit by China, and liquidation of futures contracts contributed to the crude price decline. Moreover, WTI prices fell further than most other crudes because of record high inventories in Cushing, Oklahoma. EIA projects WTI crude oil spot prices

13

PHYSICAL INVENTORY LISTING | Department of Energy  

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

PHYSICAL INVENTORY LISTING PHYSICAL INVENTORY LISTING Form supports nuclear materials control and accountability. PHYSICAL INVENTORY LISTING More Documents & Publications DOENRC F...

14

Attachment 5 Volume II Pricing Matrix.xls | Department of...  

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

5 Volume II Pricing Matrix.xls&0; Attachment 5 Volume II Pricing Matrix.xls&0; Attachment 5 Volume II Pricing Matrix.xls&0; More Documents & Publications Attachment 6 Volume V...

15

eia912.xls  

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

Month Month 2 0 Address 2: City: State: Zip: - to meet the due date.) (Volume of gas in the reservoir that is in addition to the base gas.) Working Gas as of Friday 9:00 AM (Million Cubic Feet) Producing Region Complete and return form no later than 5:00 p.m. Eastern Standard Time on Monday. If this is a resubmission, enter an "X" in the box: EIA ID NUMBER: ATTN: EIA-912 Energy Information Administration, EI-45 U. S. Department of Energy (202) 586-2849 912 Company Name: oog.eia912@eia.gov Fax No.: Email: Ext: Form may be submitted using one of the following methods: Fax to: Address 1: Secure File Transfer: https://signon.eia.doe.gov/upload/notice912.jsp Questions? Email address: Comments: Please explain in this section any unusual data reports. For example, explain any change in working gas as a result of changes in the number or capacity

16

Table1.xls  

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

Reporting Entities, Data Year 2005 Reporting Entities, Data Year 2005 Reporter Name Sector Type of Form Number of Projects Reported (Schedule II) Entity-Wide Report (Schedule III) Commitments (Schedule IV) A&N Electric Cooperative Electric Providers 1605 2 No Yes Abe Krasne Home Furnishings, Inc. Services and Retail 1605 0 Yes No AES Hawaii, Inc. Electric Providers 1605 1 Yes No AES SeaWest, Inc. Electric Providers 1605 11 No No AES Shady Point, LLC Electric Providers 1605 1 Yes No AES Thames, LLC Electric Providers 1605 1 Yes Yes AES Warrior Run, LLC Electric Providers 1605 2 Yes No Alabama Biomass Partners, Ltd Alternative Energy 1605EZ 1 No No Alcan Primary Products Corporation, Sebree Works Industrial 1605 1 Yes Yes Algonquin Power - Cambrian Pacific Genco LLC Alternative Energy 1605 9 No No Allegheny Energy, Inc. Electric Providers

17

eia910.xls  

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

Address 2: Address 2: City: State: Zip: - 1. Report State (Enter one of the following States in the box): Georgia, New York, 2. To how many end-use customers did you sell natural gas? 3. 4. For companies reporting sales in all States except Georgia: 5. For companies reporting sales in Georgia: PART 2. SUBMISSION INFORMATION (Dollars) Do not report negative numbers or decimals. You may report in either Thousand cubic feet (Mcf) or in Therms. Indicate unit of measure by placing an "X" in the appropriate box. Commercial Residential Commercial Residential Form may be submitted using one of the following methods: Mail to: ATTN: EIA-910 (Dollars) Commercial Residential Mcf Call: Email address: (877) 800 - 5261 Secure File Transfer: https://signon.eia.doe.gov/upload/noticeoog.jsp

18

xls  

U.S. Energy Information Administration (EIA)

a Includes refuse recovery. capacity data. b Marketed production. e Production of federal offshore natural gas along the c Includes lease condensate.

19

XLS  

U.S. Energy Information Administration (EIA)

Fig5 Short-Term Energy Outlook, November 2013 Natural Gas Prices (Dollars per thousand cubic feet) Month Residential Henry Hub Source: Short-Term Energy Outlook ...

20

EIA176_update.xls  

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

all items in lines 1.0 through 6.0) ..... If you operate a LNG facility, report LNG inventory as of December 31 of the report year *Check E if data reported are an estimate;...

Note: This page contains sample records for the topic "inventory forms xls" 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

EI7223_Information Retrieval_101019.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7223_Information Retrieval_101019.xls Allgemeine Daten: Modulnummer: Modulbezeichnung (dt.): Modulbezeichnung (en.): Information Retrieval in High Dimensional Data Modulniveau: MSc Kürzel: Untertitel Semesterende: Modulbeschreibung Seite 1 von 4 #12;EI7223_Information Retrieval_101019.xls Beschreibung: Inhalt

Kuehnlenz, Kolja

22

EI7157_Molecular_Electronics.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7157_Molecular_Electronics.xls Allgemeine Daten: Modulnummer: EI7157 Modulbezeichnung (dt.): Molecular Electronics Modulbezeichnung (en.): Molecular Electronics Modulniveau: MSc Kürzel: Untertitel7157_Molecular_Electronics.xls Beschreibung: Inhalt: Introduction to organic chemistry. Molecular

Kuehnlenz, Kolja

23

EI7272_Molecular Electronics.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7272_Molecular Electronics.xls Allgemeine Daten: Modulnummer: EI7272 Modulbezeichnung (dt.): Molekulare Elektronik Modulbezeichnung (en.): Molecular Electronics Modulniveau: MSc Kürzel: Mol #12;EI7272_Molecular Electronics.xls Modulbeschreibung Beschreibung: Inhalt: 1) Introduction, history

Kuehnlenz, Kolja

24

Copy of Acronyms Terms.xls  

National Nuclear Security Administration (NNSA)

Commission CNSI Confidential National Security Information COEI Composition of Ending Inventory COEI-MSR Composition of Ending Inventory - Material Status Report CRD Confidential...

25

2011 Cost Symposium Agenda 4-28-11 web draft.xls | Department...  

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

2011 Cost Symposium Agenda 4-28-11 web draft.xls 2011 Cost Symposium Agenda 4-28-11 web draft.xls 2011 Cost Symposium Agenda 4-28-11 web draft.xls More Documents & Publications...

26

FFATA sub reporting data model_draft_100715.xls | Department...  

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

data modeldraft100715.xls More Documents & Publications Policy Flash 2013-46 Awardee in STRIPES Microsoft Word - Policy Flash 2010-82 Attachment 1 Guide to Financial Assistance...

27

The Cosmic Energy Inventory  

E-Print Network (OSTI)

We present an inventory of the cosmic mean densities of energy associated with all the known states of matter and radiation at the present epoch. The observational and theoretical bases for the inventory have become rich enough to allow estimates with observational support for the densities of energy in some 40 forms. The result is a global portrait of the effects of the physical processes of cosmic evolution.

Masataka Fukugita; P. J. E. Peebles

2004-06-03T23:59:59.000Z

28

Regional Inventories  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: This year has not started well for gasoline inventories, with inventories being low across regions of the country. The Midwest region (PADD II) had been running lower than most regions, but began to catch up during the last week in April. Gasoline inventories ran about 9% below their 5-year average for this time of year and about 4% below where they were last year. The recent refinery problems in the Midwest, though, could erase some of that recovery. The impacts of Tosco's Wood River refinery and Marathon's St Paul refinery are not fully realized. But inventories were also precariously low along the East Coast (PADD I) and are extremely low in the Rocky Mountain region (PADD IV), although the size of this market mitigates any national impact. While the

29

Numerical analysis of (s, S) inventory systems with repeated attempts  

Science Conference Proceedings (OSTI)

Abstract This paper deals with a continuous review (s, S) inventory system ... The stochastic modeling and performance analysis of inventory models form an...

30

DOE Recovery Act Awardees The data contained within the .xls...  

Open Energy Info (EERE)

be updated weekly by the DOE.
2010-12-16T22:30:08Z 2011-01-03T16:54:34Z http:www.energy.govrecoverydocumentsrecoveryactfunding.xls I accessed this dataset from a public...

31

EI7203_Quantum_Nanoelectronics.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7203_Quantum_Nanoelectronics.xls Allgemeine Daten: Modulnummer: EI7203 Modulbezeichnung (dt.): Quantum Nanoelectronics Modulbezeichnung (en.): Quantum Nanoelectronics Modulniveau: MSc Kürzel Folgesemester: Ja Wiederholung auch am Semesterende: Nein Modulbeschreibung Seite 1 von 4 #12;EI7203_Quantum

Kuehnlenz, Kolja

32

EI7135_Industrielle_Energiewirtschaft.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7135_Industrielle_Energiewirtschaft.xls Allgemeine Daten: Modulnummer: EI7135 Modulbezeichnung (dt.): Industrielle Energiewirtschaft Modulbezeichnung (en.): Industrial Energy Economy Modulniveau Folgesemester: Wiederholung auch am Semesterende: Modulbeschreibung Seite 1 von 4 #12;EI7135_Industrielle_Energiewirtschaft

Kuehnlenz, Kolja

33

Oil and Gas Recovery Data from the Riser Insertion Tub - XLS...  

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

Recovery Data from the Riser Insertion Tub - XLS Oil and Gas Recovery Data from the Riser Insertion Tub - XLS Oil and Gas Recovery Data from the Riser Insertion Tube from May 17...

34

Oil and Gas Recovery Data from the Riser Insertion Tub - XLS...  

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

XLS Oil and Gas Recovery Data from the Riser Insertion Tub - XLS Oil and Gas Recovery Data from the Riser Insertion Tube from May 17 until the Riser Insertion Tube was disconnected...

35

FY 2007 Operating Plan for DOE--March 16, 2007.xls | Department...  

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

Plan for DOE--March 16, 2007.xls FY 2007 Operating Plan for DOE--March 16, 2007.xls U.S Department of Energy 2007 operating plan by appropriation. FY 2007 Operating Plan for...

36

Attachment 4 Volume III Pricing Matrix for Phase-in Period.xls...  

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

Attachment 4 Volume III Pricing Matrix for Phase-in Period.xls&0; Attachment 4 Volume III Pricing Matrix for Phase-in Period.xls&0; Attachment 4 Volume III Pricing Matrix for...

37

Tema: Emissions Inventories Titel: Denmark's National Inventory  

E-Print Network (OSTI)

: Summary report for national greenhouse gas inventories - Table 7B: Short summary report for national greenhouse gas inventories - Short summary report for national greenhouse gas inventories with electricity-values - Short summary report for national greenhouse gas inventories as GWP-values with electricity exchange

38

Simple Newsvendor Bounds for Inventory Distribution Systems .  

E-Print Network (OSTI)

??To date, closed form optimal solutions for stocking levels in arborescent multiechelon inventory systems have not been obtained. These problems exhibit the joint difficulties of (more)

Lystad, Erik D.

2006-01-01T23:59:59.000Z

39

EI7203_Quantum_Nanoelectronics.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7203_Quantum_Nanoelectronics.xls Allgemeine Daten: Modulnummer: EI7203 Modulbezeichnung (dt.): Quantum Nanoelectronics Modulbezeichnung (en.): Modulniveau: MSc Kürzel: Untertitel: Semesterdauer: 1 Folgesemester: Ja Wiederholung auch am Semesterende: Nein Modulbeschreibung Seite 1 von 4 #12;EI7203_Quantum

Kuehnlenz, Kolja

40

WasteStreamForecast2010.xls  

Office of Environmental Management (EM)

Reporting Reporting Site Disposition Facility Field Stream ID Actual Dispos 2009 Starting Inventory 2010 2010 2011 2012 2013 2014 2015 to 2019 2020 to 2024 2025 to 2029 2030 to 2034 2035 to 2039 2040-50 1 Ames Energy Solutions-Clive (formerly Envirocare) 8020-01 0.00 0.00 0.00 0.00 0.00 20.00 0.00 0.00 20.00 20.00 20.00 0.00 60.00 2 Argonne Area 5 LLW Disposal Unit (NTS) AEL105DOEa 55.12 50.45 72.36 29.22 29.22 29.22 29.22 29.22 0.00 0.00 0.00 0.00 0.00 3 Argonne Area 5 LLW Disposal Unit (NTS) AEL106DOEa 0.38 0.07 0.09 0.21 0.21 0.21 0.21 0.21 0.00 0.00 0.00 0.00 0.00 4 Argonne Area 5 LLW Disposal Unit (NTS) AE-L104DOE 0.19 10.85 11.19 0.42 0.42 0.42 0.42 0.42 0.00 0.00 0.00 0.00 0.00 5 Argonne Area 5 LLW Disposal Unit (NTS) AEL103DOE 74.13 87.37 110.16 30.39 30.39 30.39 30.39 30.39 0.00 0.00 0.00 0.00 0.00 6 Argonne Area 5 LLW Disposal Unit (NTS)

Note: This page contains sample records for the topic "inventory forms xls" 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

Physical Inventory Listing NRC 742c2  

National Nuclear Security Administration (NNSA)

9. TOTALS U.S. DEPARTMENT OF ENERGY AND U.S. NUCLEAR REGULATORY COMMISSION PHYSICAL INVENTORY LISTING DOENRC FORM 742C (7-2008) MANDATORY DATA COLLECTION AUTHORIZED BY 10 CFR 30,...

42

CONDUCTING A RECORDS INVENTORY  

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

PROCEDURE FOR CONDUCTING A RECORDS INVENTORY PROCEDURE FOR CONDUCTING A RECORDS INVENTORY Revision 1 10/31/07 Approved by: DOE Records Management Division, IM-23 PROCEDURE FOR CONDUCTING A RECORDS INVENTORY 1. GENERAL. A records inventory is compiling a descriptive list of each record series or system, including the location of the records and any other pertinent data. A records inventory is not a list of each document or each folder. 2. DEFINE THE RECORDS INVENTORY GOAL(S). The goals of a records inventory should be to: a. Gather information for scheduling purposes; b. Prepare for conversion to other media or to identify the volume of classified and/or permanent records in your organization's custody; and c. Identify any existing shortcomings, deficiencies, or problems with

43

STEM Education Program Inventory  

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

Issue for STEM Education Program Inventory Title of Program* Requestor Contact Information First Name* Last Name* Phone Number* E-mail* Fax Number Institution Name Program...

44

Final_Tech_Session_Schedule_and_Location.xls  

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

to less than 0.001% of the CO 2 inventory at the end of EOR. 5. Potential Environmental Impacts To provide some perspective on wellbore leakage rates, reference is made...

45

LANMAS Sercie Request Work-off List Rev 2.xls  

National Nuclear Security Administration (NNSA)

on Same Receipt - Cannot Load SRS v3.2 2008-02563 Corrective v3.3 The IAEA Physical Inventory Dataset is generated for the current account period. The Report Date that is being...

46

EI7153_Praktikum_Simulation_and_Characterization_of_Molecular_Devices.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7153_Praktikum_Simulation_and_Characterization_of_Molecular_Devices.xls Allgemeine Daten: Modulnummer: EI7153 Modulbezeichnung (dt.): Praktikum Simulation and Characterization of Molecular Devices Modulbezeichnung (en.): Praktikum Simulation and Characterization of Molecular Devices Modulniveau: MSc Kürzel

Kuehnlenz, Kolja

47

EI7154_Projektpraktikum_Design_of_Molecular_Circuits.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7154_Projektpraktikum_Design_of_Molecular_Circuits.xls Allgemeine Daten: Modulnummer: EI7154 Modulbezeichnung (dt.): Projektpraktikum Design of Molecular Circuits Modulbezeichnung (en.): Projektpraktikum Design of Molecular Circuits Modulniveau: MSc Kürzel: Untertitel: Semesterdauer: 1 Semester Häufigkeit

Kuehnlenz, Kolja

48

TSCA Inventory | Data.gov  

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

TSCA Inventory Consumer Data Apps Challenges Resources About Blogs Let's Talk Feedback Consumer You are here Data.gov Communities Consumer Data TSCA Inventory Dataset...

49

stocked inventory.PDF  

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

08 08 AUDIT REPORT STOCKED INVENTORY AT THE SAVANNAH RIVER SITE U.S. DEPARTMENT OF ENERGY OFFICE OF INSPECTOR GENERAL OFFICE OF AUDIT SERVICES JUNE 2001 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman (Signed) Inspector General SUBJECT: INFORMATION: Audit Report on "Stocked Inventory at the Savannah River Site" BACKGROUND The Department of Energy's (Department) management and operating contractor at the Savannah River Site, Westinghouse Savannah River Company (Westinghouse), is responsible for managing the majority of the Department's missions and associated stocked inventory at the site. As of March 2001, Westinghouse maintained about

50

Media Inventory Control  

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

8 Media Inventory Control 11_0406 Page 1 of 5 8 Media Inventory Control 11_0406 Page 1 of 5 EOTA - Business Process Document Title: Media Inventory Control Document Number: ITTP-018 Rev. 09_0910 Document Owner: Janet Lee Backup Owner: Ben Aragon Approver(s): Melissa Otero Parent Document: Q-001, Quality Manual Notify of Changes: Referenced Document(s): MGTP-003 Customer Property, ISDP-002 Training Production Process, ADMP-001 Procurement Process, ADMP-003 Receiving/Inspection Process, ITTF-013 Media Requests ITTP-018 Media Inventory Control 11_0406 Page 2 of 5 Revision History: Rev. Description of Change A Initial Release B Added use of ITTF-013, Media Requests (SMS Records) 08_0904 Changed Media Specialist to Online Learning support Specialist (OLSS). Modified process to better fit actual media request process.

51

Fleet Inventory.xlsx  

Office of Legacy Management (LM)

2007 SUV 10400 Tuba City, AZ F150 2006 Pick up truck 31180 Monticello, UT RAM 2500 2007 Pick up truck 55603 Weldon Springs, MO RAM 1500 2006 Pick up truck 32702 FLEET INVENTORY...

52

Final_Tech_Session_Schedule_and_Location.xls  

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

- - 5, 2005 FOURTH ANNUAL CONFERENCE ON CARBON CAPTURE & SEQUESTRATION FOURTH ANNUAL CONFERENCE ON CARBON CAPTURE & SEQUESTRATION Models for Environmentally Models for Environmentally Sound and Economically Sound and Economically Viable Carbon Dioxide Viable Carbon Dioxide Sequestration Opportunities Sequestration Opportunities Timothy R. Carr, Alan P. Byrnes, Martin K. Dubois, Scott W. White & Richard G. Nelson May 2 - 5, 2005 FOURTH ANNUAL CONFERENCE ON CARBON CAPTURE & SEQUESTRATION FOURTH ANNUAL CONFERENCE ON CARBON CAPTURE & SEQUESTRATION Kansas Approach * Inventory & Evaluate Greenhouse Gas Resources - Multiple Scales (Nation - Regional - Local - Single Source * Inventory & Evaluate Sequestration Opportunities - Multiple Scales (Nation -

53

Analysis and reduction of excess inventory at a heavy equipment manufacturing facility  

E-Print Network (OSTI)

The research presented in this thesis explores two hypotheses focused on excess inventory at a heavy equipment manufacturing facility. The scope of the thesis includes inventory in the form of raw materials, purchased ...

Romanov, Alexander, M.B.A. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

54

Document Control Template-Form  

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

3 Media Requests 080904 EOTA - Business Form Document Title: ITTP-018, Media Inventory Control Document Number: Media Requests ITT, ADM Ben Aragon NA Referenced Documents: Parent...

55

The LANL Physical Inventory Program  

SciTech Connect

The LANL physical inventory program (statistically based) provides assurance that the inventory is represented to the defined confidence levels. In addition, it establishes a benchmark to prove that the inventory is accurately stated. The LANL's Physical Inventory Program for nuclear materials requires the performance of periodic physical inventories and special inventories of nuclear material. The Inventory Program also requires the reconciliation of inventory measurements with previously established nuclear material accountability values. This inventory program applies to all material balance areas (MBAs) and is designed in accordance with DOE order 474.1, 'Nuclear Material Control and Accountability'. The program uses a graded approach for performing physical inventories with primary emphasis placed on Categories I and II quantities of special nuclear material. This paper describes the essential elements of the LANL Physical Inventory Program. In addition, the inter-dependency of the Inventory Program with respect to other LANL MC&A Programs is discussed. This paper, by outlining the elements and approach of a site-specific physical inventory program assists safeguards practitioners in the design of related physical inventory programs.

Pompeo, J. A. (John A.)

2001-01-01T23:59:59.000Z

56

Information inaccuracy in inventory systems  

E-Print Network (OSTI)

It is critically important for inventory-carrying facilities to provide high availability of products at the minimal operating cost. To achieve this objective, many companies have automated their inventory operations and ...

Kang, Yun Kyu

2004-01-01T23:59:59.000Z

57

Service Contract Inventory | Department of Energy  

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

Service Contract Inventory Service Contract Inventory DOE 2012 Service Contract Inventory 122712.xlsx DOE FY12 Analysis Plan MAX 122712.pdf DOEFY11ServiceContractInventory0.xl...

58

The Value of Information in Inventory Management  

E-Print Network (OSTI)

Inventory management traditionally assumes the precise knowledge of the ... stage inventory management in a robust optimization framework; the precise...

59

CLEAN Inventory | Open Energy Information  

Open Energy Info (EERE)

CLEAN Inventory CLEAN Inventory Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve CLEAN Inventory There are a number of international efforts to provide assistance for the creation of low emission development plans and strategies including work on technology needs assessments (TNAs), Nationally Appropriate Mitigation Actions (NAMAs), low carbon growth plans and roadmaps. This user-generated inventory presents many of these assistance efforts occurring internationally. The inventory was developed to provide information on relevant activities and tools that can inform and support future work. The goals of this inventory activity are to avoid duplication of effort, to promote efficient use of resources, to assess assistance gaps and to

60

Capacity Development Team March 2009INVENTORY OF DONOR APPROACHES TO CAPACITY DEVELOPMENT: WHAT WE ARE LEARNING  

E-Print Network (OSTI)

2. INVENTORY RESULTS............................................................................................................................................... 3

unknown authors

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "inventory forms xls" 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

Inventory Management Activities and Processes  

Science Conference Proceedings (OSTI)

The purpose of inventory management is to ensure that equipment, components, materials, and services required to support effective operation and maintenance of a power generating facility are available and ready for use when needed. Briefly stated, the goal of inventory management is to make sure that the right parts are available at the right time and the right cost to ensure safe and continuous plant operation. This technical update summarizes the activities and processes involved in an inventory manag...

2008-03-03T23:59:59.000Z

62

HSS Information and Services Inventory  

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

HSS Topical Areas HSS Topical Areas Quality Assurance Enforcement / Oversight Environment HSS Outreach and Communications HSPD-12 Nuclear Materials Management & Safeguards System (NMMSS) HSS Internal Operations Council on Environmental Quality (CEQ) HSS Information and Services Inventory Web Site Priorities and Schedules The Office of Health, Safety and Security maintains an inventory of the HSS Website content as required by Section 207(f)(2) of the E-Government Act of 2002. This inventory is reviewed periodically for relevance and content update, and establishes a schedule for publishing information. HSS Information Inventory last updated: MAY 4, 2009 Priority 1: Required by law, regulation, Presidential directive, or other official directive or to ensure national security.

63

PROCEDURE FOR CONDUCTING A RECORDS INVENTORY | Department of...  

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

CONDUCTING A RECORDS INVENTORY PROCEDURE FOR CONDUCTING A RECORDS INVENTORY PROCEDURE FOR CONDUCTING A RECORDS INVENTORY PROCEDURE FOR CONDUCTING A RECORDS INVENTORY More Documents...

64

Environmental software systems for emission inventories  

Science Conference Proceedings (OSTI)

Atmospheric emission inventories are important tools for environmental decision making. The need to include transparency and reproducibility in emission calculation also fostered the development of environmental software systems for emission inventories. ... Keywords: Emission inventory theory, Model validation, Upper Austria

Wilfried Winiwarter; Gerald Schimak

2005-12-01T23:59:59.000Z

65

Life Cycle Inventory of a CMOS Chip  

E-Print Network (OSTI)

Reichl, H. Life cycle inventory analysis and identificationAllen, D.T. ; Life cycle inventory development for waferLife Cycle Inventory of a CMOS Chip Sarah Boyd and David

Boyd, Sarah; Dornfeld, David; Krishnan, Nikhil

2006-01-01T23:59:59.000Z

66

Annual Inventory Troubleshooting Checklist Problem Solutions  

E-Print Network (OSTI)

Annual Inventory Troubleshooting Checklist Problem Solutions Duplicate tag number Send email to am;Annual Inventory Troubleshooting Checklist Problem Solutions Personal property Send email to am

Li, Mo

67

Robust Inventory Management Using Tractable Replenishment ...  

E-Print Network (OSTI)

Inventory ties up working capital and incurs holding costs, reducing profit every ... Good inventory management has hence become crucial to businesses as they...

68

Convex Optimization of Centralized Inventory Operations  

E-Print Network (OSTI)

Jan 10, 2005 ... holding and penalty costs, inventory centralization induces a cooperative cost alloca- ... buying, storing and distributing their inventory jointly.

69

Estimating Waste Inventory and Waste Tank Characterization |...  

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

Estimating Waste Inventory and Waste Tank Characterization Estimating Waste Inventory and Waste Tank Characterization Summary Notes from 28 May 2008 Generic Technical Issue...

70

Electrical Equipment Inventory and Inspection Information  

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

Electrical Equipment Inventory and Inspection Information APS Non-NRTL Electrical Equipment Inventory Spreadsheet ANL Recognized Reputable Electrical Equipment Manufacturer List as...

71

National Bridge Inventory Record Data Submission Requirement...  

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

National Bridge Inventory Record Data Submission Requirement National Bridge Inventory Record Data Submission Requirement 2011.09.02 OECM-NBI Record Data Submission Req.pdf More...

72

Incremental validity of the Psychopathic Personality Inventory.  

E-Print Network (OSTI)

??The current study examined the incremental validity of the Psychopathic Personality Inventory-Revised in relation to the Psychological Inventory of Criminal Thinking Styles and Personality Assessment (more)

McCoy, Katrina.

2011-01-01T23:59:59.000Z

73

Building Technologies Office: Life Cycle Inventory Database  

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

Life Cycle Inventory Database to someone by E-mail Share Building Technologies Office: Life Cycle Inventory Database on Facebook Tweet about Building Technologies Office: Life...

74

INEEL Liquid Effluent Inventory  

Science Conference Proceedings (OSTI)

The INEEL contractors and their associated facilities are required to identify all liquid effluent discharges that may impact the environment at the INEEL. This liquid effluent information is then placed in the Liquid Effluent Inventory (LEI) database, which is maintained by the INEEL prime contractor. The purpose of the LEI is to identify and maintain a current listing of all liquid effluent discharge points and to identify which discharges are subject to federal, state, or local permitting or reporting requirements and DOE order requirements. Initial characterization, which represents most of the INEEL liquid effluents, has been performed, and additional characterization may be required in the future to meet regulations. LEI information is made available to persons responsible for or concerned with INEEL compliance with liquid effluent permitting or reporting requirements, such as the National Pollutant Discharge Elimination System, Wastewater Land Application, Storm Water Pollution Prevention, Spill Prevention Control and Countermeasures, and Industrial Wastewater Pretreatment. The State of Idaho Environmental Oversight and Monitoring Program also needs the information for tracking liquid effluent discharges at the INEEL. The information provides a baseline from which future liquid discharges can be identified, characterized, and regulated, if appropriate. The review covered new and removed buildings/structures, buildings/structures which most likely had new, relocated, or removed LEI discharge points, and at least 10% of the remaining discharge points.

Major, C.A.

1997-06-01T23:59:59.000Z

75

Spent Fuel Working Group report on inventory and storage of the Department`s spent nuclear fuel and other reactor irradiated nuclear materials and their environmental, safety and health vulnerabilities. Volume 2, Working Group Assessment Team reports; Vulnerability development forms; Working group documents  

Science Conference Proceedings (OSTI)

The Secretary of Energy`s memorandum of August 19, 1993, established an initiative for a Department-wide assessment of the vulnerabilities of stored spent nuclear fuel and other reactor irradiated nuclear materials. A Project Plan to accomplish this study was issued on September 20, 1993 by US Department of Energy, Office of Environment, Health and Safety (EH) which established responsibilities for personnel essential to the study. The DOE Spent Fuel Working Group, which was formed for this purpose and produced the Project Plan, will manage the assessment and produce a report for the Secretary by November 20, 1993. This report was prepared by the Working Group Assessment Team assigned to the Hanford Site facilities. Results contained in this report will be reviewed, along with similar reports from all other selected DOE storage sites, by a working group review panel which will assemble the final summary report to the Secretary on spent nuclear fuel storage inventory and vulnerability.

Not Available

1993-11-01T23:59:59.000Z

76

Equipment Inventory | Sample Preparation Laboratories  

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

Equipment Inventory Equipment Resources Title Equipment Type Facility Laboratory Building Room Accumet Basic AB15 pH meter pH Meter SSRL BioChemMat Prep Lab 2 131 209 Agate...

77

Inventory management for drug discovery  

E-Print Network (OSTI)

This thesis documents a study carried out at the Novartis Institutes for BioMedical Research (NIBR) in Cambridge, MA. The study focused on the development of inventory management processes for laboratory consumables. The ...

Sriram, Ranganath

2008-01-01T23:59:59.000Z

78

Risk Aversion in Inventory Management  

E-Print Network (OSTI)

Traditional inventory models focus on risk-neutral decision makers, i.e., characterizing replenishment strategies that maximize expected total profit, or equivalently, minimize expected total cost over a planning horizon. ...

Chen, Xin

79

Publications inventory control and distribution  

Science Conference Proceedings (OSTI)

Most publications stocked by STSC, Inc. are produced at headquarters. A small number of other publications, however, are ordered from outside vendors and then stocked at headquarters for distribution. Past procedures for inventory control and distribution ...

Deborah R. Richardson

1983-04-01T23:59:59.000Z

80

Lot sizing with inventory gains  

E-Print Network (OSTI)

the problem of scheduling the shutdown of nuclear reactors for refuelling and maintenance ... nuclear plant refuelling, as well as how much energy should be produced by nuclear and ...... Perishable inventory theory: A review. Operations Re-.

Note: This page contains sample records for the topic "inventory forms xls" 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

Final_Tech_Session_Schedule_and_Location.xls  

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

in-Water Emulsion Stabilized by Pulverized Limestone for Benign in-Water Emulsion Stabilized by Pulverized Limestone for Benign Ocean Storage D. Golomb, * E. Barry, D. Ryan, C. Lawton, P. Swett University of Massachusetts Lowell R. Warzinski, R. Lynn US Department of Energy, National Energy Technology Laboratory Abstract When ordinary seawater and liquid carbon dioxide are mixed in the presence of pulverized limestone (CaCO 3 ), a macro-emulsion is formed. The emulsion consists of liquid CO 2 droplets sheathed with a monolayer of calcite crystals dispersed in water. The sheath of crystals prevents the coalescence of the CO 2 droplets. The emulsion has a gross density that is greater than seawater, therefore upon release from a pipe the emulsion plume will sink deeper into the density-stratified ocean while entraining ambient

82

Information Inaccuracy in Inventory Systems  

E-Print Network (OSTI)

Many companies have automated their inventory management processes and rely on an information system in critical decision making. However, if the information is inaccurate, the ability of the system to provide high availability of products at the minimal operating cost can be compromised. In this paper, analytical and simulation modelling demonstrate that even a small rate of stock loss undetected by the information system can lead to inventory inaccuracy that disrupts the replenishment process and creates severe out-of-stocks. In fact, revenue losses due to out-of-stocks can far outweigh the stock losses themselves. This sensitivity of performance to the inventory inaccuracy becomes even higher in systems operating in lean environments. Motivated by an automatic product identification technology under development at the Auto-ID Center, various methods of compensating for the inventory inaccuracy are presented and evaluated. Comparisons of the methods reveal that the inventory inaccuracy problem can be effectively treated even without automatic product identification technologies in some situations. 1

Stock Loss; Yun Kang; Stanley B. Gershwin

2004-01-01T23:59:59.000Z

83

GRR/Section 18-HI-e - Chemical Inventory Reporting | Open Energy  

Open Energy Info (EERE)

GRR/Section 18-HI-e - Chemical Inventory Reporting GRR/Section 18-HI-e - Chemical Inventory Reporting < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 18-HI-e - Chemical Inventory Reporting 18HIEHawaiiChemicalInventoryReportingProcedure.pdf Click to View Fullscreen Contact Agencies Hawaii Department of Health Hazard Evaluation and Emergency Response Office Triggers None specified Click "Edit With Form" above to add content 18HIEHawaiiChemicalInventoryReportingProcedure.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative Chemical Inventory Reporting 18-HI-e.1 to 18-HI-e.2 - Will the facility store, use or manufacture any

84

Fair Act Inventory | Department of Energy  

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

Fair Act Inventory Fair Act Inventory Fair Act Inventory This page provides guidance for submission of the DOE FAIR Act Inventory, or otherwise known as the Inherently Governmental Commercial Activities (IGCA) Inventory. This inventory will be used to respond to various reporting requirements including, but not limited to, the Federal Activities Inventory Reform Act of 1998, Public Law 105-270 (FAIR Act) and the inventory of inherently governmental activities required by OMB. OMB requires the submission of the IGCA Inventory in a specified electronic format. As a result, an updated version of the collection tool used last year is provided along with this guidance. This data collection tool is somewhat different than the tool used by OMB. However, the data fields can be easily converted to the OMB tool and will be completed by OPAM.

85

National System Templates: Building Sustainable National Inventory  

Open Energy Info (EERE)

National System Templates: Building Sustainable National Inventory National System Templates: Building Sustainable National Inventory Management Systems Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National System Templates: Building Sustainable National Inventory Management Systems Agency/Company /Organization: United States Environmental Protection Agency, United States Agency for International Development Sector: Energy, Land Focus Area: Non-renewable Energy, Forestry, Agriculture Topics: GHG inventory Resource Type: Guide/manual, Training materials Website: www.epa.gov/climatechange/emissions/ghginventorycapacitybuilding/templ National System Templates: Building Sustainable National Inventory Management Systems Screenshot References: National System Templates: Building Sustainable National Inventory Management Systems[1]

86

E-IDR (Inventory Disclosure Record) PIA, Idaho National Laboratory...  

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

E-IDR (Inventory Disclosure Record) PIA, Idaho National Laboratory E-IDR (Inventory Disclosure Record) PIA, Idaho National Laboratory E-IDR (Inventory Disclosure Record) PIA, Idaho...

87

A METHODOLOGY TO EVALUATE OBSOLETE INVENTORY IN HEALTH CARE.  

E-Print Network (OSTI)

??Many organizations are currently facing inventory management problems such as distributing inventory on-time and maintain the correct inventory levels to satisfy the customer or end (more)

Thummalapalli, Rama

2010-01-01T23:59:59.000Z

88

An Inventory-Location Model: Formulation, Solution Algorithm and ...  

E-Print Network (OSTI)

Mar 18, 2001 ... working inventory and safety stock inventory costs at the distribution ... Managing inventory has become a major challenge for firms as they.

89

Evaluating Obselete Inventory Policies in a Hospital's Supply Chain.  

E-Print Network (OSTI)

??Numerous organizations are currently facing inventory management problems including distributing inventory on time and maintaining the appropriate inventory level to satisfy the end user. Organizations (more)

Cavitt, Maurice D

2010-01-01T23:59:59.000Z

90

Monetary Policy Shocks, Inventory Dynamics, and Price-Setting Behavior  

E-Print Network (OSTI)

Sticky Prices and Inventories: Produc- tion Smoothingbetween monetary shocks and ?nished goods inventories. Fur-nd that allowing for inventory holdings leads to a Phillips

Jung, YongSeung; Yun, Tack

2005-01-01T23:59:59.000Z

91

FY 2007 FAIR ACT INVENTORY REASON CODES | Department of Energy  

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

07 FAIR ACT INVENTORY REASON CODES FY 2007 FAIR ACT INVENTORY REASON CODES FY 2007 FAIR ACT INVENTORY REASON CODES More Documents & Publications OFFICE OF PROCUREMENT &...

92

UNFCCC-GHG Inventory Data | Open Energy Information  

Open Energy Info (EERE)

UNFCCC-GHG Inventory Data (Redirected from UNFCCC GHG Inventory Data) Jump to: navigation, search Tool Summary Name: UNFCCC GHG inventory Data AgencyCompany Organization: United...

93

CARTOGRAPHIC BASE FILES AT LAWRENCE BERKELEY LABORATORY: 1978. INVENTORY  

E-Print Network (OSTI)

BERKELEY LABORATORY: 1978 INVENTORY f(ECEfVED tAWRENCE!FILES AT LAWRENCE BERKELEY LABORATORY: 1978 INVENTORY B. R.1979 ABSTRACT This inventory describes the cartographic base

Burkhart, B.R.

2011-01-01T23:59:59.000Z

94

Gray Markets, A Product of Demand Uncertainty and Excess Inventory.  

E-Print Network (OSTI)

two-market stochastic inventory system, Management Science.M. , P. Kouvelis. 2007. Inventory, speculation, and sourcing2001. A two-location inventory model with transshipment and

Ahmadi, R.; Carr, S. M.; Dasu, S.

2011-01-01T23:59:59.000Z

95

Inventory and Typology of Fauna Passages on French Transport Infrastructures  

E-Print Network (OSTI)

passages faune en Picardie (Inventory of fauna passages inis to carry out a database to inventory the structures oforganisation). Methods The inventory of fauna passages uses

Bielsa, Sabine; Pineau, Christophe

2007-01-01T23:59:59.000Z

96

Microsoft Word - IGCA Inventory Sub Guide 031611 | Department...  

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

IGCA Inventory Sub Guide 031611 Microsoft Word - IGCA Inventory Sub Guide 031611 Microsoft Word - IGCA Inventory Sub Guide 031611 More Documents & Publications Job Counting...

97

The Binary Customer Satisfaction Model in Inventory and Queueing Systems  

E-Print Network (OSTI)

Caine, R. H. Plaut. Optimal Inventory Policy when Stockoutsin a Manufacturer/Dealer Inventory Sys- tem Under StochasticErnst, S. Powell. Optimal Inventory Policies Under Service-

Azadivar, Justin Sepehr

2010-01-01T23:59:59.000Z

98

Defining Information System For the Baseline Inventory | Department...  

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

Defining Information System For the Baseline Inventory Defining Information System For the Baseline Inventory Defining Information System For the Baseline Inventory Defining...

99

Research Report National inventory of  

E-Print Network (OSTI)

Survey Pilot for the Survey of Small Woodland and Trees 4. Aerial photography and mapping Introduction Aerial photography Scotland England and Wales Woodland map for the Main Woodland Survey Scotland England. Forestry Commission Scotland, Edinburgh. i­iv + 1­60 pp. Keywords: inventory, woodland, survey, trees

100

Autoradiographic inventory methods  

SciTech Connect

Described are autoradiographic techniques which can verify the number and SNM content of plutonium- and uranium-containing fuel elements. These techniques are applied to fast critical assembly fuel and to low-enriched uranium in LWR fuel assemblies. Autoradiographic images are formed by the spontaneously emitted X and gamma rays from the fuel elements striking X-ray film in contact with the fuel elements or their containers. Autoradiography allows a large number of items to be examined in a minimum inspection time and with minimum facility impact. Results are presented for fast critical assembly fuel in a variety of storage modes as well as in fast critical assemblies themselves. Results are also presented for low-enriched uranium rods in unirradiated LWR fuel assemblies. In all cases, missing fuel elements or substitution of elements containing inert material or depleted uranium were detected. (6 figs.)

Brumbach, S.B.; Perry, R.B.

1978-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "inventory forms xls" 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

U.S. Crude Oil Inventory Outlook  

Gasoline and Diesel Fuel Update (EIA)

Consistent with OECD inventories, U.S. inventories are low. They have been well below the normal range for over one year. Crude oil stocks in the United States, while tending to...

102

Microsoft Word - IGCA Inventory Sub Guide 031611  

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

PROCUREMENT & ASSISTANCE MANAGEMENT PROCUREMENT & ASSISTANCE MANAGEMENT INHERENTLY GOVERNMENTAL AND COMMERCIAL ACTIVITIES (IGCA) INVENTORY GUIDANCE Name Date Tel E-Mail Created by: Jeff Davis March 16, 2011 202-287-1877 Jeff.Davis@hq.doe.gov Modified by: i Table of Contents Summary ............................................................................................................................................. 1 Guide to Inventory Submission ............................................................................................................ 2 DOE FUNCTION CODES .............................................................................................................................. 2 CODING RULES FOR THE IGCA INVENTORY .............................................................................................. 3

103

How is Chemical Inventory Information Used?  

E-Print Network (OSTI)

How is Chemical Inventory Information Used? June 2, 2010 https://medmeeting.stanford.edu/healthsafety-group/ 1-866-642-1665 Participant passcode is 111483 #12;Agenda · Introductions · Chemical Inventory roster Maintain Training records Chemical inventory Life Safety Box updates Complete Self

Ford, James

104

Aviation emission inventory development and analysis  

Science Conference Proceedings (OSTI)

An up to date and accurate aviation emission inventory is a prerequisite for any detailed analysis of aviation emission impact on greenhouse gases and local air quality around airports. In this paper we present an aviation emission inventory using real ... Keywords: Air traffic, Aviation emission, Emission inventory, Environmental modelling

Viet Van Pham; Jiangjun Tang; Sameer Alam; Chris Lokan; Hussein A. Abbass

2010-12-01T23:59:59.000Z

105

RESEARCH ROADMAP FOR GREENHOUSE GAS INVENTORY  

E-Print Network (OSTI)

RESEARCH ROADMAP FOR GREENHOUSE GAS INVENTORY METHODS Prepared For: California Energy Commission Consulting · Riitta Pipatti, IPCC Task Force on National Greenhouse Gas Inventories · Dennis Rolston Agency · Fabian Wagner, IPCC Task Force on National Greenhouse Gas Inventories · Wilfried Winiwarter

106

Greenhouse Gas Inventory Academic Years 2001 2007  

E-Print Network (OSTI)

Greenhouse Gas Inventory Academic Years 2001 2007 #12;Greenhouse Gas Inventory Academic Years 2001 is to identify and quantify the major sources of greenhouse q y j g gas emissions which result from the operation of the University.y #12;Greenhouse Gas Inventory Academic Years 2001 2007 · Major sources

McConnell, Terry

107

Ion shaking in the 200 MeV XLS-ring  

Science Conference Proceedings (OSTI)

It has been shown that ions, trapped inside the beam`s potential, can be removed by the clearing electrodes when the amplitude of the ion oscillation is increased by vertically shaking the ions. We will report on a similar experiment in the 200 Mev XLS ring. The design of the ion clearing system for the ring and the first results obtained, were already reported. In the present series of experiments, RF voltage was applied on a pair of vertical strip-lines. The frequency was scanned in the range of the ion (from H{sub 2} to CO{sub 2}) bounce frequencies in the ring (1--10 MHz). The response of the beam size, vertical betatron tune and lifetime was studied.

Bozoki, E.; Kramer, S.L.

1992-12-31T23:59:59.000Z

108

Ion shaking in the 200 MeV XLS-ring  

Science Conference Proceedings (OSTI)

It has been shown that ions, trapped inside the beam's potential, can be removed by the clearing electrodes when the amplitude of the ion oscillation is increased by vertically shaking the ions. We will report on a similar experiment in the 200 Mev XLS ring. The design of the ion clearing system for the ring and the first results obtained, were already reported. In the present series of experiments, RF voltage was applied on a pair of vertical strip-lines. The frequency was scanned in the range of the ion (from H[sub 2] to CO[sub 2]) bounce frequencies in the ring (1--10 MHz). The response of the beam size, vertical betatron tune and lifetime was studied.

Bozoki, E.; Kramer, S.L.

1992-01-01T23:59:59.000Z

109

a constructive heuristic for the integrated inventory-distribution ...  

E-Print Network (OSTI)

Jan 12, 2008 ... Abstract: We study the integrated inventory distribution problem which is concerned with multiperiod inventory holding, backlogging, and...

110

FY 2010 Service Contract Inventory Analysis  

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

0 Service Contract Inventory Analysis 0 Service Contract Inventory Analysis Department of Energy Office of Procurement & Assistance Management Strategic Programs Division (MA-622) January 2012 (REVISED) FY2010 Service Contract Inventory Analysis Department of Energy Contents Page Section 1: Background 1 Section 2: Analysis and Findings 3 Section 3: Next Steps 5 FY2010 Service Contract Inventory Analysis Department of Energy 1 Section 1: Background Section 743 of Division C of the FY 2010 Consolidated Appropriations Act, P.L. 111-117, requires civilian agencies to prepare an annual inventory of their service contracts. The Office of Management and Budget's (OMB) November 5, 2010 and December 19, 2012 Memorandums entitled, "Service Contract

111

Chemical Inventory | Sample Preparation Laboratories  

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

Chemical Inventory Chemical Inventory Use the following dropdown menus to filter the results for chemical records. To reset the results clear the entries and click "update". Facility - Any - SSRL LCLS Building - Any - 120 131 999 Room - Any - 109 113 209 257 Storage Area Storage Category Apply Title Facility Building Room Storage Area Storage Category Available to All Qty. Size Units Responsible Person 1,3-cyclohexadiene SSRL 131 209 CI L No 1 25 milliliters (ml) Tsu-Chien Weng 1,4- dioxane SSRL 120 257 CB1 L Yes 1 1 liters (l) Cynthia Patty 1,8-Octanedithiol SSRL 131 209 CA3 L No 1 5 grams (g) Schmidt 1-Chloronapthalene SSRL 131 209 CA3 L No 1 100 grams (g) Schmidt 1-Propanol LCLS 999 109 B1 L Yes 1 4 liters (l) Lisa Hammon

112

Quantum gravity and inventory accumulation  

E-Print Network (OSTI)

We begin by studying inventory accumulation at a LIFO (last-in-first-out) retailer with two products. In the simplest version, the following occur with equal probability at each time step: first product ordered, first product produced, second product ordered, second product produced. The inventory thus evolves as a simple random walk on Z^2. In more interesting versions, a p fraction of customers orders the "freshest available" product regardless of type. We show that the corresponding random walks scale to Brownian motions with diffusion matrices depending on p. We then turn our attention to the critical Fortuin-Kastelyn random planar map model, which gives, for each q>0, a probability measure on random (discretized) two-dimensional surfaces decorated by loops, related to the q-state Potts model. A longstanding open problem is to show that as the discretization gets finer, the surfaces converge in law to a limiting (loop-decorated) random surface. The limit is expected to be a Liouville quantum gravity surface decorated by a conformal loop ensemble, with parameters depending on q. Thanks to a bijection between decorated planar maps and inventory trajectories (closely related to bijections of Bernardi and Mullin), our results about the latter imply convergence of the former in a particular topology. A phase transition occurs at p = 1/2, q=4.

Scott Sheffield

2011-08-10T23:59:59.000Z

113

Monitoring the progress of emission inventories  

Science Conference Proceedings (OSTI)

This issue of EM contains three articles which focus on the latest improvements on the emissions inventory process. The first, 'Building the national emissions inventory: challenges and plans for improvements' by Doug Solomon and Martin Husk (pages 8-11), looks at the US national emissions inventory. The next, 'Greenhouse gas inventories - a historical perspective and assessment of improvements since 1990' by Bill Irving and Dina Kruger (pages 12-19) assesses improvements in national and international greenhouse gas emissions inventories over the last 15 years. The third article, 'The global mercury emissions inventory' by Leonard Levin (pages 20-25) gives an overview of the challenges associated with conducting a worldwide inventory of mercury emissions.

Levy, J.A. Jr.; Solomon, D.; Husk, M.; Irving, B.; Kruger, D.; Levin. L. [Exponent Inc., Washington, DC (United States)

2006-12-15T23:59:59.000Z

114

Annual Transuranic Waste Inventory Report - 2013  

Office of Environmental Management (EM)

ANNUAL TRANSURANIC WASTE INVENTORY REPORT - 2013 (Data Cutoff Date 12/31/2012) DOE/TRU-13-3425 Revision 0 October 2013 U.S. Department of Energy Carlsbad Field Office DOE/TRU-13-3425 Page 1 of 392 This document has been submitted as required to: U.S. Department of Energy Office of Scientific and Technical Information PO Box 62 Oak Ridge, TN 37831 Phone: (865) 576-8401 Additional information about this document may be obtained by calling 1-800-336-9477. Unlimited, publicly available full-text scientific and technical reports produced since 1991 are available online at Information Bridge (www.osti.gov/bridge). U.S. Department of Energy and its contractors may obtain full-text reports produced prior to 1991 in paper form, for a processing fee, from:

115

Physical Inventory Listing NRC 742c2  

National Nuclear Security Administration (NNSA)

9. TOTALS 9. TOTALS U.S. DEPARTMENT OF ENERGY AND U.S. NUCLEAR REGULATORY COMMISSION PHYSICAL INVENTORY LISTING DOE/NRC FORM 742C (7-2008) MANDATORY DATA COLLECTION AUTHORIZED BY 10 CFR 30, 40, 50, 70, 72, 74, 75, 150, Public Laws 83-703, 93-438, 95-91 8. BATCH DATA of Page Estimated burden per response to comply with this mandatory collection request: 6 hours. This information is required by NRC to fulfill its safeguards responsibilities, bilateral agreements, and responsibilities as a participant in the US/IAEA Safeguards Agreement. Send comments regarding burden estimate to the Records and FOIA/Privacy Services Branch (T-5 F52), U.S. Nuclear Regulatory Commission, Washington, DC 20555-0001, or by internet e-mail to infocollects@nrc.gov, and to the Desk Officer, Office of Information and

116

Fuel Cycle Potential Waste Inventory for Disposition Rev 5 | Department of  

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

Fuel Cycle Potential Waste Inventory for Disposition Rev 5 Fuel Cycle Potential Waste Inventory for Disposition Rev 5 Fuel Cycle Potential Waste Inventory for Disposition Rev 5 The United States currently utilizes a once-through fuel cycle where used nuclear fuel is stored onsite in either wet pools or in dry storage systems with ultimate disposal envisioned in a deep mined geologic repository. This report provides an estimate of potential waste inventory and waste form characteristics for the DOE used nuclear fuel and high-level radioactive waste and a variety of commercial fuel cycle alternatives in order to support subsequent system-level evaluations of disposal system performance. Fuel Cycle Potential Waste Inventory for Disposition R5a.docx More Documents & Publications Repository Reference Disposal Concepts and Thermal Load Management Analysis

117

Retail Inventory Management When Records are Inaccurate  

E-Print Network (OSTI)

Inventory record inaccuracy is a significant problem for retailers using automated inventory management systems. While investments in preventative and corrective measures can be effective remedies, gains can also be achieved through inventory management tools that account for record errors. In this paper, we consider intelligent inventory management tools that account for record errors using a Bayesian inventory record. We assume that excess demands are lost and unobserved, in which case sales data reveal information about physical inventory positions. We show that a probability distribution on inventory levels is a sufficient summary of past sales and replenishment observations, and that this probability distribution can be efficiently updated as observations are accumulated. We also demonstrate the use of this distribution as the basis for practical replenishment and inventory audit policies, and illustrate how the needed parameters can be estimated using data from a large national retailer. Our replenishment policies avoid the problem of freezing, in which a physical inventory position persists at zero while the corresponding record is positive. In addition, simulation studies show that our replenishment policies recoup much of the cost of inventory record inaccuracy, and that our audit policies significantly outperform the popular zero-balance walk audit policy. 1.

Nicole Dehoratius; Adam J. Mersereau; Linus Schrage

2005-01-01T23:59:59.000Z

118

USLCI eGrid region electricity datasets, 2008 Datasets are for...  

Open Energy Info (EERE)

RMPA, SPNO, SPSO, SRMV, SRMW, SRSO, SRTV, SRVC) for 2008. The data is provided in life cycle inventory forms (xls and xml) . A module report and a detailed spreadsheet...

119

FY 2012 Service Contract Inventory Analysis Plan  

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

Service Contract Inventory Service Contract Inventory Analysis Plan Department of Energy Office of Acquisition and Project Management Strategic Programs Division (MA-622) December 2012 Department of Energy FY 2012 Service Contract Inventory Plan for Analysis The Department of Energy (DOE) approach will be performed in accordance with the criteria set out in Consolidated Appropriations Act, 2010, (Pub. L. No. 111-117, § 743 (2009)) and Appendix D of the November 5, 2010 OMB Memorandum on Service Contract Inventories, and will ultimately identify contracts for a more in-depth review. DOE will develop the basic inventory in accordance with OMB guidance using FPDS-NG data to address a number of the inventory requirements consistent with the Consolidated Appropriations Act. APM will

120

IPCC Inventory Guidelines LULUCF | Open Energy Information  

Open Energy Info (EERE)

IPCC Inventory Guidelines LULUCF IPCC Inventory Guidelines LULUCF Jump to: navigation, search Tool Summary Name: IPCC Inventory Guidelines LULUCF Agency/Company /Organization: World Meteorological Organization, United Nations Environment Programme Sector: Land Focus Area: Forestry, Agriculture Topics: GHG inventory Resource Type: Guide/manual, Lessons learned/best practices Website: www.ipcc-nggip.iges.or.jp/public/gpglulucf/gpglulucf_contents.html IPCC Inventory Guidelines LULUCF Screenshot References: IPCC Inventory Guidelines LULUCF[1] "This report on Good Practice Guidance for Land Use, Land-Use Change and Forestry (GPG-LULUCF) is the response to the invitation by the United Nations Framework Convention on Climate Change (UNFCCC) to the Intergovernmental Panel on Climate Change (IPCC) to develop good practice

Note: This page contains sample records for the topic "inventory forms xls" 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

FY 2011 Service Contract Inventory Analysis Plan  

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

1 Service Contract Inventory Analysis 1 Service Contract Inventory Analysis Plan Department of Energy Office of Procurement & Assistance Management Strategic Programs Division (MA-622) December 2011 Department of Energy FY 2011 Service Contract Inventory Plan for Analysis The Department of Energy (DOE) approach will be performed in accordance with the criteria set out in Consolidated Appropriations Act, 2010, (Pub. L. No. 111-117, § 743 (2009)) and Appendix D of the November 5, 2010 OMB Memorandum on Service Contract Inventories, and will ultimately identify contracts for a more in-depth review. DOE will develop the basic inventory in accordance with OMB guidance using FPDS-NG data to address a number of the inventory requirements consistent with the Consolidated Appropriations Act and collect

122

Inventory Mistakes and the Great Moderation  

E-Print Network (OSTI)

Why did the volatility of U.S. real GDP decline by more than the volatility of final sales with the Great Moderation in the mid-1980s? One possible explanation is that firms shifted their inventory behaviour towards a greater emphasis on production smoothing. In this paper, we investigate the role of inventories in the Great Moderation by estimating an unobserved components model that identifies inventory and sales shocks and their propagation. We find only mixed evidence of increased production smoothing. Instead, it was a reduction in inventory mistakes that accounts for the excess volatility reduction in output relative to sales. The inventory mistakes are informational errors related to production that must be set in advance and their reduction also helps to explain the changed forecasting role of inventories since the mid-1980s. Our findings provide an optimistic prognosis for the continuation of the Great Moderation.

James Morley; Aarti Singh

2009-01-01T23:59:59.000Z

123

Optimization Online - Flexible Solutions to Maritime Inventory ...  

E-Print Network (OSTI)

Aug 12, 2013 ... Flexible Solutions to Maritime Inventory Routing Problems with Delivery Time Windows. Chengliang Zhang(czhang85 ***at*** gatech.edu)

124

Convex Optimization of Centralized Inventory Operations  

E-Print Network (OSTI)

Jan 11, 2005 ... Abstract: Given a finite set of outlets with joint normally distributed demands and identical holding and penalty costs, inventory centralization...

125

Large Neighborhood Search for LNG Inventory Routing  

E-Print Network (OSTI)

Feb 3, 2012 ... Large Neighborhood Search for LNG Inventory Routing. Vikas Goel (vikas.goel ** *at*** exxonmobil.com) Kevin Furman (kevin.c.furman ***at***...

126

U.S. Total Gasoline Inventory Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 Notes: Gasoline inventories in the United States began last summer's driving season low and ended low. In October 2000, with the market focusing on distillate, gasoline...

127

U.S. Total Gasoline Inventory Outlook  

Gasoline and Diesel Fuel Update (EIA)

to remain relatively tight entering the driving season and through next year. Low inventory levels raise the risk of price volatility, especially in response to regional supply...

128

National Source Tracking System & Interim Inventory  

National Nuclear Security Administration (NNSA)

for rule and placed requirements on system 3 Approach * Two phase - Interim inventory now provides database on sources - short term solution; gathered valuable data to...

129

MIRPLib: A Maritime Inventory Routing Problem Library  

E-Print Network (OSTI)

Aug 28, 2013 ... Abstract: This paper presents a detailed description of a particular class of deterministic single product maritime inventory routing problems...

130

Inventory Control and Demand Distribution Characterization .  

E-Print Network (OSTI)

??This thesis studies three problems related to inventory control. The first problem is motivated by the need to eliminate the bullwhip effect in a supply (more)

Bai, Liwei

2005-01-01T23:59:59.000Z

131

National System Templates: Building Sustainable National Inventory...  

Open Energy Info (EERE)

National System Templates: Building Sustainable National Inventory Management Systems Jump to: navigation, search Tool Summary Name: National System Templates: Building Sustainable...

132

Optimization Online - Robust Inventory Management Using ...  

E-Print Network (OSTI)

Apr 16, 2007 ... Abstract: We propose tractable replenishment policies for a multi-period, single product inventory control problem under ambiguous demands,...

133

National Source Tracking System & Interim Inventory  

National Nuclear Security Administration (NNSA)

other Federal agencies, States and internationally 3 Approach * Two phase - Interim inventory now provides database on NRC and Agreement State sources - short term solution;...

134

The Value of Information in Inventory Management  

E-Print Network (OSTI)

May 25, 2007 ... Abstract: Inventory management traditionally assumes the precise knowledge of the underlying demand distribution and a risk-neutral manager...

135

Optimization Online - Lot sizing with inventory gains  

E-Print Network (OSTI)

Apr 27, 2006 ... Abstract: This paper introduces the single item lot sizing problem with inventory gains. This problem is a generalization of the classical single...

136

Essays in inventory decisions under uncertainty .  

E-Print Network (OSTI)

??Uncertainty is a norm in business decisions. In this research, we focus on the inventory decisions for companies with uncertain customer demands. We first investigate (more)

Manikas, Andrew Steven

2008-01-01T23:59:59.000Z

137

Improving Inventory Management in Small Business.  

E-Print Network (OSTI)

?? Introduction: The growth of small business is fast and their impact on the economy is becoming bigger. How to manage the inventory effectively and (more)

Bai, Lining

2008-01-01T23:59:59.000Z

138

Fiscal Year 2010 Greenhouse Gas Inventory  

E-Print Network (OSTI)

Fiscal Year 2010 Greenhouse Gas Inventory OREGON STATE UNIVERSITY #12;OREGON STATE UNIVERSITYGHG . 2 . Carbon dioxide equivalent (CO2e) represents the quantity of a greenhouse gas multiplied

Escher, Christine

139

EPA-GHG Inventory Capacity Building | Open Energy Information  

Open Energy Info (EERE)

EPA-GHG Inventory Capacity Building EPA-GHG Inventory Capacity Building Jump to: navigation, search Tool Summary Name: US EPA GHG inventory Capacity Building Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy, Land Topics: GHG inventory, Background analysis Resource Type: Training materials, Lessons learned/best practices References: US EPA GHG inventory Capacity Building[1] Logo: US EPA GHG inventory Capacity Building "Developing greenhouse gas inventories is an important first step to managing emissions. U.S. EPA's approach for building capacity to develop GHG inventories is based on the following lessons learned from working alongside developing country experts: Technical expertise for GHG inventories already exists in developing countries.

140

Optimizing Inventory Replenishment of Retail Fashion Products  

Science Conference Proceedings (OSTI)

We consider the problem of determining (for a short lifecycle) retail product initial and replenishment order quantities that minimize the cost of lost sales, back orders, and obsolete inventory. We model this problem as a two-stage stochastic dynamic ... Keywords: Heuristics, Inventory replenishment, Retailing, Stochastic dynamic programming

Marshall Fisher; Kumar Rajaram; Ananth Raman

2001-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "inventory forms xls" 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

High Crude Prices Go With Low Inventories  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: As global production changed relative to demand, the world moved from a period of "over supply" in 1998 to one of "under supply" in 1999 and 2000. Inventories are a good means of seeing the imbalance between petroleum production and demand. For example, when production exceeds demand, inventories rise. A large oversupply will put downward pressure on prices, while undersupply will cause prices to rise. OECD inventories illustrate the changes in the world balance. OECD inventories rose to very high levels during 1997 and 1998 when production exceeded demand and prices plummeted to almost $10 in December 1998. However, when inventories fell to the low levels seen above during 1999 and early 2000 as demand exceeded production, prices rose to $35 per barrel at

142

Inventory Record Inaccuracy: An Empirical Analysis  

E-Print Network (OSTI)

This study explores the systematic variation in inventory record inaccuracy (IRI) observed both within and across stores. Traditional inventory models, with a few exceptions, do not account for the existence of IRI and those that do treat record inaccuracy as random. Examining nearly 370,000 inventory records from 37 stores of one retailer, we found 65 % to be inaccurate. That is, the recorded inventory quantity of an item fails to match the quantity found in the store. We identify factors associated with this inaccuracy that are stock keeping unit- (SKU) and store-specific. SKU-specific factors such as item cost, selling quantity, and method of distribution account for the observed variation in IRI within stores. Store-specific factors such as the density and variety of inventory observed at each store account for the variation in IRI across stores. 1

Nicole Dehoratius; Ananth Raman

2004-01-01T23:59:59.000Z

143

Microeconomic Inventory Adjustment and Aggregate Dynamics  

E-Print Network (OSTI)

We examine microeconomic and aggregate inventory dynamics in the business sector of the U.S. economy. We employ high-frequency ...rm-level data and use an empirically tractable model, in which the aggregate dynamics are derived explicitly from the underlying microeconomic data. Our results show that the microeconomic adjustment function in both the manufacturing and trade sectors is nonlinear and asymmetric, results consistent with ...rms using (S; s)-type inventory policies. There are dierences in the estimated adjustment functions between the two sectors as well as the durable and nondurable goods ...rms within each sector. The estimated adjustment function is remarkably stable across subperiods, indicating little change in the inventory adjustment process over time. As predicted by our model, higher moments of the cross-sectional distribution of inventory deviations aect aggregate inventory dynamics. Both authors are aliated with the Research Department, Federal Reserve...

Jonathan Mccarthy; Egon Zakrajsek; We Thank Palle Andersen; Andy Caplin; Mark Gertler; John Haltiwanger; Jim Harrigan; Brad Humphreys; Spence Krane; Trish Mosser; Simon Potter; Tom Sargent

1998-01-01T23:59:59.000Z

144

Two Milling Stone Inventories from Northern San Diego County, California  

E-Print Network (OSTI)

2, pp. 233-261 (1982). Two Milling Stone Inventories from5. Manos from Rincon 301. MILLING STONE INVENTORIES FROM SANd-e) from Rincon 301. MILLING STONE INVENTORIES FROM SAN

True, D. L; Beemer, Eleanor

1982-01-01T23:59:59.000Z

145

Utility Fuel Inventory Model (UFIM) 5.0  

Science Conference Proceedings (OSTI)

The Utility Fuel Inventory Model (UFIM) is the essential tool for performing fuel inventory analysis. Using the power of your personal computer, UFIM helps users develop money-saving inventory ...

2012-11-06T23:59:59.000Z

146

AN INVENTORY OF PHOTOGRAPHS OF ZINC ELECTRODEPOSITED FROM ACID ELECTROLYTES  

E-Print Network (OSTI)

for publication AN INVENTORY OF PHOTOGRAPHS OF ZINCemployer. LBL-16601 AN INVENTORY OF PHOTOGRAPHS OF ZINCNo. DE-AC03-76SF00098 AN INVENTORY OF PHOTOGRAPHS OF ZINC

Faltemier, J.L.

2011-01-01T23:59:59.000Z

147

Federal Energy Management Program: Federal Greenhouse Gas Inventories and  

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

Inventories and Performance to someone by E-mail Inventories and Performance to someone by E-mail Share Federal Energy Management Program: Federal Greenhouse Gas Inventories and Performance on Facebook Tweet about Federal Energy Management Program: Federal Greenhouse Gas Inventories and Performance on Twitter Bookmark Federal Energy Management Program: Federal Greenhouse Gas Inventories and Performance on Google Bookmark Federal Energy Management Program: Federal Greenhouse Gas Inventories and Performance on Delicious Rank Federal Energy Management Program: Federal Greenhouse Gas Inventories and Performance on Digg Find More places to share Federal Energy Management Program: Federal Greenhouse Gas Inventories and Performance on AddThis.com... Sustainable Buildings & Campuses Operations & Maintenance

148

Greenhouse Gas Training Program for Inventory and Mitigation Modeling |  

Open Energy Info (EERE)

Greenhouse Gas Training Program for Inventory and Mitigation Modeling Greenhouse Gas Training Program for Inventory and Mitigation Modeling Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Greenhouse Gas Training Program for Inventory and Mitigation Modeling Agency/Company /Organization: Future Perfect Sector: Climate Focus Area: GHG Inventory Development, Greenhouse Gas Topics: GHG inventory, Low emission development planning, -LEDS Resource Type: Case studies/examples, Training materials Website: www.gpstrategiesltd.com/divisions/future-perfect/ Country: South Korea Eastern Asia Language: English References: Greenhouse Gas Training Program for Inventory and Mitigation Modeling[1] Logo: Greenhouse Gas Training Program for Inventory and Mitigation Modeling Jointly sponsored by Greenhouse Gas Inventory & Research (GIR) Center of

149

UNFCCC-GHG Inventory Data | Open Energy Information  

Open Energy Info (EERE)

UNFCCC-GHG Inventory Data Jump to: navigation, search Tool Summary Name: UNFCCC GHG inventory Data AgencyCompany Organization: United Nations Framework Convention on Climate...

150

FAO Global Inventory of Agricultural Mitigation Projects in Developing...  

Open Energy Info (EERE)

FAO Global Inventory of Agricultural Mitigation Projects in Developing Countries Jump to: navigation, search Tool Summary Name: FAO Global Inventory of Agricultural Mitigation...

151

Integrated Forecasting and Inventory Control for Seasonal Demand ...  

E-Print Network (OSTI)

We present a data-driven forecasting technique with integrated inventory ... ponents of inventory management: the random demand is first estimated using...

152

PROCEDURE FOR PREPARING RECORDS INVENTORY AND DISPOSITION SCHEDULES...  

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

PREPARING RECORDS INVENTORY AND DISPOSITION SCHEDULES (RIDS) PROCEDURE FOR PREPARING RECORDS INVENTORY AND DISPOSITION SCHEDULES (RIDS) This document lists the procedures for...

153

Categorization of Used Nuclear Fuel Inventory in Support of a...  

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

Categorization of Used Nuclear Fuel Inventory in Support of a Comprehensive National Nuclear Fuel Cycle Strategy Categorization of Used Nuclear Fuel Inventory in Support of a...

154

LOT SIZING WITH INVENTORY BOUNDS AND FIXED COSTS ...  

E-Print Network (OSTI)

bounds. We consider two models, one with linear cost on inventory, the other with linear ... make use of the inventory bounds explicitly and give exact separation...

155

2013 guidance fo real Property Inventory Reporting | Department...  

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

2013 guidance fo real Property Inventory Reporting 2013 guidance fo real Property Inventory Reporting SIGNEDFY13RptInstructions REV - 2013.08.15.pdf More Documents &...

156

Greenhouse Gas Inventory and Registry (Iowa) | Department of...  

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

Greenhouse Gas Inventory and Registry (Iowa) Greenhouse Gas Inventory and Registry (Iowa) Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General...

157

Climate VISION: Private Sector Initiatives: Minerals: GHG Inventory...  

Office of Scientific and Technical Information (OSTI)

GHG Inventory Protocols Read the Industrial Minerals Association - North America (IMA-NA) Borates and Soda Ash Sections Greenhouse Gas Inventory Protocol (PDF 75 KB) Download...

158

Using statistical process control to monitor inventory accuracy.  

E-Print Network (OSTI)

??Inventory accuracy is critical for almost all industrial environments such as distribution, warehousing, and retail. It is quite common for companies with exceptional inventory accuracy (more)

Huschka, Kyle

2009-01-01T23:59:59.000Z

159

Approval for Use of the Minnesota Multiphasic Personality Inventory...  

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

OF HEAL TH, SAFETY AND SECURITY Approval for Use of Minnesota Multiphasic Personality Inventory-2 Revised Format and Psychological Assessment Inventory Under title IO, Code of...

160

Impact of inaccurate data on supply chain inventory performance.  

E-Print Network (OSTI)

??This research explores data inaccuracy and its impact on supply chain inventory performance. Theft and data entry error cause differences between the physical inventory levels (more)

Basinger, Karen Lynn

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "inventory forms xls" 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

IGCA Inventory Sub Guide 040512 | Department of Energy  

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

Inventory Sub Guide 040512 IGCA Inventory Sub Guide 040512 IGCAInventorySubGuide040512.pdf More Documents & Publications OFFICE OF PROCUREMENT & ASSISTANCE MANAGEMENT O:...

162

A new robust cycle-based inventory control policy  

E-Print Network (OSTI)

Single installation inventory management is a classical research topic which has ... Scarf [36] showed that the optimal policy for an inventory control problem with...

163

Forecast error metrics for Navy inventory management performance .  

E-Print Network (OSTI)

??This research establishes metrics for determining overall Navy secondary inventory forecasting accuracy when compared to actual demands at the Naval Inventory Control Point (NAVICP). Specifically, (more)

Jackson, Kenneth J.

2011-01-01T23:59:59.000Z

164

Event:UNFCCC Greenhouse Gas Inventory Training Seminar | Open...  

Open Energy Info (EERE)

UNFCCC Greenhouse Gas Inventory Training Seminar Jump to: navigation, search Calendar.png UNFCCC Greenhouse Gas Inventory Training Seminar: on 20110418 "The UNFCCC Secretariat...

165

Optimization Online - An Inventory-Location Model: Formulation ...  

E-Print Network (OSTI)

Jun 5, 2001 ... Abstract: We introduce a new distribution center (DC) location model that incorporates working inventory and safety stock inventory costs at the...

166

Global Primary Aluminium Industry 2010 Life Cycle Inventory  

Science Conference Proceedings (OSTI)

Within this framework, the Primary Aluminium Industry has established a global Life Cycle Inventory (LCI) data set. Inventory flows include inputs of raw materials ...

167

Joint pricing and inventory control under reference price effects.  

E-Print Network (OSTI)

??In many firms the pricing and inventory control functions are separated. However, a number of theoretical models suggest a joint determination of inventory levels and (more)

Gimpl-Heersink, Lisa

2008-01-01T23:59:59.000Z

168

ARM - VAP Suggestion Form  

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

ProductsVAP Suggestion Form ProductsVAP Suggestion Form Showcase Data ARM Best Estimate Data Products (ARMBE) This is a collection of data products that represents "best estimates" derived from several instruments and/or VAPs. We are interested in your feedback; please contact us. VAP Update Information on new, existing, and future value-added products for July-September 2013 is now available. Have a VAP idea? Use this form to let us know. Datastream Status Further details on the status of VAPs being processed or developed, can be found at on the ARM Value-Added Product (VAP) Status web page. Use the Data File Inventory tool to view VAP data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Suggestion Form

169

National Coal Quality Inventory (NACQI)  

Science Conference Proceedings (OSTI)

The U.S. Geological Survey (USGS) conducted the National Coal Quality Inventory (NaCQI) between 1999 and 2005 to address a need for quality information on coals that will be mined during the next 20-30 years. Collaboration between the USGS, State geological surveys, universities, coal burning utilities, and the coal mining industry plus funding support from the Electric Power Research Institute (EPRI) and the U.S. Department of Energy (DOE) permitted collection and submittal of coal samples for analysis. The chemical data (proximate and ultimate analyses; major, minor and trace element concentrations) for 729 samples of raw or prepared coal, coal associated shale, and coal combustion products (fly ash, hopper ash, bottom ash and gypsum) from nine coal producing States are included. In addition, the project identified a new coal reference analytical standard, to be designated CWE-1 (West Elk Mine, Gunnison County, Colorado) that is a high-volatile-B or high-volatile-A bituminous coal with low contents of ash yield and sulfur, and very low, but detectable contents of chlorine, mercury and other trace elements.

Robert Finkelman

2005-09-30T23:59:59.000Z

170

UNFCCC-GHG Inventory Review Training Program | Open Energy Information  

Open Energy Info (EERE)

UNFCCC-GHG Inventory Review Training Program UNFCCC-GHG Inventory Review Training Program (Redirected from UNFCCC GHG Inventory Review Training Program) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: UNFCCC GHG inventory Review Training Program Agency/Company /Organization: United Nations Framework Convention on Climate Change Topics: GHG inventory Resource Type: Training materials Website: unfccc.int/national_reports/annex_i_ghg_inventories/inventory_review_t UNFCCC GHG inventory Review Training Program Screenshot References: UNFCCC GHG inventory Review Training Program[1] Logo: UNFCCC GHG inventory Review Training Program The Basic Course of the updated training programme covers technical aspects of the review of GHG inventories under the Convention. It consists of seven modules, including a general module and six individual modules on the

171

Transuranic waste baseline inventory report. Revision No. 3  

SciTech Connect

The Transuranic Waste Baseline Inventory Report (TWBIR) establishes a methodology for grouping wastes of similar physical and chemical properties from across the U.S. Department of Energy (DOE) transuranic (TRU) waste system into a series of {open_quotes}waste profiles{close_quotes} that can be used as the basis for waste form discussions with regulatory agencies. The purpose of Revisions 0 and 1 of this report was to provide data to be included in the Sandia National Laboratories/New Mexico (SNL/NM) performance assessment (PA) processes for the Waste Isolation Pilot Plant (WIPP). Revision 2 of the document expanded the original purpose and was also intended to support the WIPP Land Withdrawal Act (LWA) requirement for providing the total DOE TRU waste inventory. The document included a chapter and an appendix that discussed the total DOE TRU waste inventory, including nondefense, commercial, polychlorinated biphenyls (PCB)-contaminated, and buried (predominately pre-1970) TRU wastes that are not planned to be disposed of at WIPP.

NONE

1996-06-01T23:59:59.000Z

172

Life Cycle Inventory Database | Department of Energy  

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

Commercial Buildings » Research Projects » Life Cycle Inventory Commercial Buildings » Research Projects » Life Cycle Inventory Database Life Cycle Inventory Database The U.S. Life Cycle Inventory (LCI) Database serves as a central repository for information about the total energy and resource impacts of developing and using various commercial building materials, components, and assemblies. The database helps manufacturers, building designers, and developers select energy-efficient and environmentally friendly materials, products, and processes for their projects based on the environmental impact of an item over its entire lifespan. The U.S. Department of Energy and the National Renewable Energy Laboratory (NREL) developed the database in 2003 with input from a variety of partners. NREL maintains and updates the database with support from the

173

Optimization of surgical supply inventory and kitting  

E-Print Network (OSTI)

This project centered on inventory optimization for operative custom surgical packs and soft good supplies for Massachusetts General Hospital (MGH), a 947-bed medical center. Custom surgical packs are used in every surgical ...

Schlanser, Matthew R. (Matthew Ross)

2013-01-01T23:59:59.000Z

174

Head & base production optimization : inventory management strategy  

E-Print Network (OSTI)

A new inventory management strategy was developed for Schlumberger to reduce waste in material handling and improve the warehouse receiving efficiency. The current warehouse receiving situation was analyzed; then the ...

Guo, Yuming, M. Eng. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

175

The impact of assured supply inventory policies  

E-Print Network (OSTI)

A case study is presented of a successful quick serve fast food restaurant chain that uses inventory throughout the supply chain as a buffer against uncertainty in supply and demand. This is a common operational strategy ...

Stanton, Daniel Jonathon

2008-01-01T23:59:59.000Z

176

Mobile RFID system for inventory automation  

E-Print Network (OSTI)

As RFID technology proliferates within the industry, more added value applications employing RFID technology are being created. One main application is inventory tracking where RFID technology is used to create a visibility ...

Ong, JinHock

2008-01-01T23:59:59.000Z

177

FY13 Energy Department Federal Program Inventory  

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

Per the Government Performance and Results Act (GPRA) Modernization Act, DOE's Federal Program Inventory (FPI) is part of a Federal-wide program list intended to facilitate coordination by making...

178

Inventory optimization in an aerospace supply chain  

E-Print Network (OSTI)

Strategic inventory management has become a major focus for Honeywell Aerospace as the business unit challenged itself to meeting cost reduction goals while maintaining a high level of service to its customers. This challenge ...

Lo, Billy S. (Billy Si Yee)

2007-01-01T23:59:59.000Z

179

U.S. Distillate Inventory Outlook  

U.S. Energy Information Administration (EIA)

These low inventories will put upward pressure on distillate fuel prices and set the stage for price sun-ups should there be an extended period of cold weather or a ...

180

Fuel Inventory Management for Electric Companies: Current Uses of the EPRI Utility Fuel Inventory Model (UFIM)  

Science Conference Proceedings (OSTI)

This report describes current applications of the Utility Fuel Inventory Model (UFIM) developed by the Electric Power Research Institute (EPRI). This model is designed to help electric companies to better manage policy and operational decisions related to managing power plant fuel inventories. This report specifically address: (i) problems currently faced by electric power companies where fuel inventories can be used to address the problems; and, (ii) how the UFIM analysis tool can be used to ...

2013-07-26T23:59:59.000Z

Note: This page contains sample records for the topic "inventory forms xls" 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

Coordination of supply chain inventory systems with private information  

E-Print Network (OSTI)

This dissertation considers the problems of coordinating different supply chain inventory systems with private information under deterministic settings. These systems studied are characterized by the following properties: (a) each facility in the system has self decision-making authority, (b) cost parameters of each facility are regarded as private information that no other facilities in the system have access to, and (c) partial information is shared among the facilities. Because of the above properties, the existing approaches for systems with global information may not be applicable. Thus, new approaches for coordinating supply chain inventory systems with private information are needed. This dissertation first studies two two-echelon distribution inventory systems. Heuristics for finding the replenishment policy of each facility are developed under global information environment. In turn, the heuristics are modified to solve the problems with private information. An important characteristic of the heuristics developed for the private information environment is that they provide the same solutions as their global information counterpart. Then, more complex multi-echelon serial and assembly supply chain inventory systems with private information are studied. The solution approach decomposes the problem into separate subproblems such that the private information is divided as required. Global optimality is sought with an iterative procedure in which the subproblems negotiate the material flows between facilities. At the core of the solution procedure is a node-model that represents a facility and its corresponding private information. Using the node-model as a building block, other supply chains can be formed by linking the node-models according to the product and information flows. By computational experiments, the effect of the private information on the performance of the supply chain is tested by comparing the proposed approach against existing heuristics that utilize global information. Experimental results show that the proposed approach provides comparable results as those of the existing heuristics with global information.

Chu, Chi-Leung

2006-12-01T23:59:59.000Z

182

Wildlife Inventory, Craig Mountain, Idaho.  

DOE Green Energy (OSTI)

Wildlife distribution/abundance were studied at this location during 1993 and 1994 to establish the baseline as part of the wildlife mitigation agreement for construction of Dworshak reservoir. Inventory efforts were designed to (1) document distribution/abundance of 4 target species: pileated woodpecker, yellow warbler, black-capped chickadee, and river otter, (2) determine distribution/abundance of rare animals, and (3) determine presence and relative abundance of all other species except deer and elk. 201 wildlife species were observed during the survey period; most were residents or used the area seasonally for breeding or wintering. New distribution or breeding records were established for at least 6 species. Pileated woodpeckers were found at 35% of 134 survey points in upland forests; estimated densities were 0-0.08 birds/ha, averaging 0.02 birds/ha. Yellow warblers were found in riparian areas and shrubby draws below 3500 ft elev., and were most abundant in white alder plant communities (ave. est. densities 0.2-2. 1 birds/ha). Black-capped chickadees were found in riparian and mixed tall shrub vegetation at all elevations (ave. est. densities 0-0.7 birds/ha). River otters and suitable otter denning and foraging habitat were observed along the Snake and Salmon rivers. 15 special status animals (threatened, endangered, sensitive, state species of special concern) were observed at Craig Mt: 3 amphibians, 1 reptile, 8 birds, 3 mammals. Another 5 special status species potentially occur (not documented). Ecosystem-based wildlife management issues are identified. A monitoring plant is presented for assessing effects of mitigation activities.

Cassirer, E. Frances

1995-06-01T23:59:59.000Z

183

UNFCCC-GHG Inventory Methodological Documents and Training Materials | Open  

Open Energy Info (EERE)

UNFCCC-GHG Inventory Methodological Documents and Training Materials UNFCCC-GHG Inventory Methodological Documents and Training Materials (Redirected from UNFCCC GHG Inventory Methodological Documents and Training Materials) Jump to: navigation, search Tool Summary Name: UNFCCC GHG inventory Methodological Documents and Training Materials Agency/Company /Organization: United Nations Framework Convention on Climate Change Sector: Energy, Land Topics: GHG inventory Resource Type: Lessons learned/best practices, Training materials, Software/modeling tools User Interface: Spreadsheet Website: unfccc.int/national_reports/non-annex_i_natcom/training_material/metho Cost: Free References: UNFCCC GHG inventory Methodological Documents and Training Materials[1] Logo: UNFCCC GHG inventory Methodological Documents and Training Materials

184

UNFCCC-GHG Inventory Methodological Documents and Training Materials | Open  

Open Energy Info (EERE)

UNFCCC-GHG Inventory Methodological Documents and Training Materials UNFCCC-GHG Inventory Methodological Documents and Training Materials Jump to: navigation, search Tool Summary LAUNCH TOOL Name: UNFCCC GHG inventory Methodological Documents and Training Materials Agency/Company /Organization: United Nations Framework Convention on Climate Change Sector: Energy, Land Topics: GHG inventory Resource Type: Lessons learned/best practices, Training materials, Software/modeling tools User Interface: Spreadsheet Website: unfccc.int/national_reports/non-annex_i_natcom/training_material/metho Cost: Free References: UNFCCC GHG inventory Methodological Documents and Training Materials[1] Logo: UNFCCC GHG inventory Methodological Documents and Training Materials Visit the website for GHG inventory training materials, software support

185

EPA-GHG Inventory Capacity Building | Open Energy Information  

Open Energy Info (EERE)

EPA-GHG Inventory Capacity Building EPA-GHG Inventory Capacity Building (Redirected from US EPA GHG Inventory Capacity Building) Jump to: navigation, search Tool Summary Name: US EPA GHG inventory Capacity Building Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy, Land Topics: GHG inventory, Background analysis Resource Type: Training materials, Lessons learned/best practices References: US EPA GHG inventory Capacity Building[1] Logo: US EPA GHG inventory Capacity Building "Developing greenhouse gas inventories is an important first step to managing emissions. U.S. EPA's approach for building capacity to develop GHG inventories is based on the following lessons learned from working alongside developing country experts: Technical expertise for GHG inventories already exists in developing

186

UNFCCC-GHG Inventory Review Training Program | Open Energy Information  

Open Energy Info (EERE)

UNFCCC-GHG Inventory Review Training Program UNFCCC-GHG Inventory Review Training Program Jump to: navigation, search Tool Summary Name: UNFCCC GHG inventory Review Training Program Agency/Company /Organization: United Nations Framework Convention on Climate Change Topics: GHG inventory Resource Type: Training materials Website: unfccc.int/national_reports/annex_i_ghg_inventories/inventory_review_t UNFCCC GHG inventory Review Training Program Screenshot References: UNFCCC GHG inventory Review Training Program[1] Logo: UNFCCC GHG inventory Review Training Program The Basic Course of the updated training programme covers technical aspects of the review of GHG inventories under the Convention. It consists of seven modules, including a general module and six individual modules on the review of individual IPCC sectors.

187

Toxics Release Inventory (TRI) 1987--1996  

SciTech Connect

The Toxics Release Inventory (TRI), published annually by the US EPA, is a valuable source of information about over 300 toxic chemicals that are being used, manufactured, treated, transported, or released into the environment. Using this information, citizens, businesses, and governments can work together to protect the quality of their land, air and water. The new software used in the 1987--1996 TRI CD-ROM, is flexible and powerful, capable of searching over 200 fields (e.g., by chemical, company, kind of release, or zip code, and across multiple years of data). The CD-ROM also allows users to conduct multiple and complex queries, which are especially useful to those who wish to analyze trends or perform statistical analysis. The following information is found on the TRI CD: facility name, location and type of business; off-site locations to which the facility transfers toxic chemicals in waste; whether the chemical is manufactured (including importation), processed, or otherwise used and the general categories of use of the chemical; an estimate (in ranges) of the maximum amounts of the toxic chemical present at the facility at any time during the preceding year; quantity of the chemical entering each medium -- air, land, and water -- annually; waste treatment/disposal methods and efficiency of methods for each waste stream; and optional information on waste minimization. In addition to the TRI data, the CD-ROM provides a wealth of other TRI information, such as: tutorial, Annual TRI Data Release Book, State Fact Sheets; TRI`s reporting Forms R and A; and Chemical Fact Sheets on many of the TRI chemicals. The 1987--1996 TRI CD-ROM is a user-friendly Windows application that includes LANDVIEW III, a geographic information systems (GIS) package. The GIS package allows the user to locate TRI facilities and other EPA sites in relation to roads, rivers, schools, hospitals and more.

NONE

1999-10-01T23:59:59.000Z

188

Optoelectronic inventory system for special nuclear material  

SciTech Connect

In support of the Department of Energy`s Dismantlement Program, the Optoelectronics Characterization and Sensor Development Department 2231 at Sandia National Laboratories/New Mexico has developed an in situ nonintrusive Optoelectronic Inventory System (OIS) that has the potential for application wherever periodic inventory of selected material is desired. Using a network of fiber-optic links, the OIS retrieves and stores inventory signatures from data storage devices (which are permanently attached to material storage containers) while inherently providing electromagnetic pulse immunity and electrical noise isolation. Photovoltaic cells (located within the storage facility) convert laser diode optic power from a laser driver to electrical energy. When powered and triggered, the data storage devices sequentially output their digital inventory signatures through light-emitting diode/photo diode data links for retrieval and storage in a mobile data acquisition system. An item`s exact location is determined through fiber-optic network and software design. The OIS provides an on-demand method for obtaining acceptable inventory reports while eliminating the need for human presence inside the material storage facility. By using modularization and prefabricated construction with mature technologies and components, an OIS installation with virtually unlimited capacity can be tailored to the customer`s requirements.

Sieradzki, F.H.

1994-01-01T23:59:59.000Z

189

Agriculture and Land Use National Greenhouse Gas Inventory Software | Open  

Open Energy Info (EERE)

Agriculture and Land Use National Greenhouse Gas Inventory Software Agriculture and Land Use National Greenhouse Gas Inventory Software Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Agriculture and Land Use National Greenhouse Gas Inventory Software Agency/Company /Organization: Colorado State University Partner: United States Agency for International Development, United States Forest Service, United States Environmental Protection Agency Sector: Land Focus Area: Forestry, Agriculture Topics: GHG inventory Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.nrel.colostate.edu/projects/ghgtool/index.php Cost: Free Agriculture and Land Use National Greenhouse Gas Inventory Software Screenshot References: Agriculture and Land Use National Greenhouse Gas Inventory Software[1]

190

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

E-Print Network (OSTI)

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

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

2007-01-01T23:59:59.000Z

191

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

E-Print Network (OSTI)

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

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

2011-01-01T23:59:59.000Z

192

Inventory and Sediment Modeling of Unpaved Roads for Stream Conservation Planning  

E-Print Network (OSTI)

for the Mapping and Inventory of Riparian Areas in the Upperstudy watershed using the road inventory geodatabase. Oncebe compared to species inventory data, stream bank erosion

Inlander, Ethan; Clingenpeel, Alan; Crump, Michael A.; Van Epps, Matthew; Formica, Sandi

2007-01-01T23:59:59.000Z

193

The Transportation Greenhouse Gas Inventory: A First Step Toward City-Driven Emissions Rationalization  

E-Print Network (OSTI)

and Criteria Pollutnat Inventories of Automobiles, Buses,Transportation Greenhouse Gas Inventory: A First Step TowardTransportation Greenhouse Gas Inventory: A First Step toward

Ganson, Chris

2008-01-01T23:59:59.000Z

194

A Hybrid Life Cycle Inventory of Nano-Scale Semiconductor Manufacturing  

E-Print Network (OSTI)

and Scope De?nition and Inventory Analysis; Internationalin life- cycle inventories using hybrid approaches. Environ.Reichl, H. Life Cycle Inventory Analysis and Identi?cation

Krishnan, Nikhil; Boyd, Sarah; Somani, Ajay; Dornfeld, David

2008-01-01T23:59:59.000Z

195

Coupling GIS and LCA for biodiversity assessments of land use: Part 1: Inventory modeling  

E-Print Network (OSTI)

of land use Part 1: Inventory modeling Roland Geyer & Davidthe use of GIS-based inventory modeling to generatedemonstrated that GIS-based inventory modeling of land use

Geyer, Roland; Stoms, David M.; Lindner, Jan P.; Davis, Frank W.; Wittstock, Bastian

2010-01-01T23:59:59.000Z

196

Entrepreneurs and Newsvendors: Do Small Businesses Follow the Newsvendor Logic When Making Inventory Decisions?  

E-Print Network (OSTI)

and M.J. Sobel. 1992. Inventory Control with an Exponential2006. Risk Aversion in Inventory Management. Working paper.Measures On Single- Period Inventory Policy. J. Industrial

Corbett, C.J.; Fransoo, J.C.

2007-01-01T23:59:59.000Z

197

Life-cycle Environmental Inventory of Passenger Transportation in the United States  

E-Print Network (OSTI)

inLife?Cycle InventoriesUsingHybridApproaches. EEA2006]EmissionInventoryGuidebook;Activities080501?I:NationalLightingInventoryand EnergyConsumption

Chester, Mikhail V

2008-01-01T23:59:59.000Z

198

INEEL Greenhouse Gas Inventory and Trend Analysis  

SciTech Connect

The objective of the INEEL GHG Inventory and Trend Analysis is to establish INEEL expertise in carbon management decision making and policy analysis. This FY-99 effort is the first step toward placing the INEEL in a leadership role within the DOE laboratories to support carbon management systems and analysis.

Shropshire, David Earl; Teel, Dale Milton

2000-02-01T23:59:59.000Z

199

Large neighborhood search for LNG inventory routing  

Science Conference Proceedings (OSTI)

Liquefied Natural Gas (LNG) is steadily becoming a common mode for commercializing natural gas. Due to the capital intensive nature of LNG projects, the optimal design of LNG supply chains is extremely important from a profitability perspective. Motivated ... Keywords: LNG, Liquefied natural gas, Maritime inventory routing, Ship schedule optimization

Vikas Goel; Kevin C. Furman; Jin-Hwa Song; Amr S. El-Bakry

2012-12-01T23:59:59.000Z

200

Physical Inventory Listing NRC 742cu  

National Nuclear Security Administration (NNSA)

EXAMPLE 4 *** Company Name RIS 09302008 A 864 0 0 90 J 1 1 A 864 0 0 90 J 2 2 1* 1* E4 E2 E1 864 0 90 J 3 2 A 0 4 *Reporting itemized inventory Total U U-235 E1 0.4 0.001 E2 ...

Note: This page contains sample records for the topic "inventory forms xls" 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

Fiscal Year 2007 Greenhouse Gas Inventory  

E-Print Network (OSTI)

Fiscal Year 2007 Greenhouse Gas Inventory Greg Smith Brandon Trelstad OSU Facilities Services June greenhouse gas multiplied by a Global Warming Potential (GWP) factor. (3) "Global Warming Potential factor" (GWP) means the radiative forcing impact of one mass-based unit of a given greenhouse gas relative

Escher, Christine

202

Fiscal Year 2009 Greenhouse Gas Inventory  

E-Print Network (OSTI)

Fiscal Year 2009 Greenhouse Gas Inventory Oregon State University Greg Smith Sustainability Program of oxygen. (2) "Carbon dioxide equivalent" (CO2e) represents the quantity of a greenhouse gas multiplied of one mass-based unit of a given greenhouse gas relative to an equivalent unit of carbon dioxide over

Escher, Christine

203

WASTE INVENTORY DATA AT OAK RIDGEAND SAVANNAH RIVER, IG-0434...  

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

WASTE INVENTORY DATA AT OAK RIDGEAND SAVANNAH RIVER, IG-0434 WASTE INVENTORY DATA AT OAK RIDGEAND SAVANNAH RIVER, IG-0434 The Oak Ridge and Savannah River Operations Offices are...

204

Managing the National Greenhouse Gas Inventory Process | Open Energy  

Open Energy Info (EERE)

Managing the National Greenhouse Gas Inventory Process Managing the National Greenhouse Gas Inventory Process Jump to: navigation, search Tool Summary Name: Managing the National Greenhouse Gas Inventory Process Agency/Company /Organization: United Nations Development Programme, United Nations Environment Programme, Global Environment Facility Topics: GHG inventory Resource Type: Guide/manual, Training materials, Lessons learned/best practices Website: ncsp.undp.org/document/managing-national-greenhouse-gas-inventory-proc Managing the National Greenhouse Gas Inventory Process Screenshot References: Managing the National Greenhouse Gas Inventory Process[1] The objective of the handbook is to provide non-AnnexI Parties with a strategic and logical approach to a sustainable inventory process. About "The handbook was developed by United Nations Development Programme with

205

Inventory optimization in a retail multi-echelon environment  

E-Print Network (OSTI)

The objective of the study is to find an optimal inventory distribution in a retail three-echelon environment, consisting of a supplier, a DC, and stores. An inventory model is built by replicating the echelons' periodic, ...

Arkaresvimun, Rintiya

2008-01-01T23:59:59.000Z

206

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

207

NREL: U.S. Life Cycle Inventory Database - Publications  

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

Publications Planning Documents U.S. Life Cycle Inventory Database Roadmap, February 2009 U.S. Life Cycle Inventory User Survey, February 2009 U.S. LCI Database Factsheet, March...

208

Predictive analytics for inventory in a sporting goods organization  

E-Print Network (OSTI)

Inventory management for retail companies has become increasingly more important in recent years as competition grows and new supply chain models are implemented. Inventory levels have implications on not only the financial ...

Wolbert, Marie

2013-01-01T23:59:59.000Z

209

Vendor-managed Inventory forecast optimization and integration  

E-Print Network (OSTI)

In the retail industry, consumer package goods (CPG) manufacturers have been working with retailers to use Vendor-managed Inventory (VMI) to improve the overall supply chain inventory turns and finished product velocity. ...

Kou, Xihang

2008-01-01T23:59:59.000Z

210

Integer Programming Solution Approach for Inventory-Production ...  

E-Print Network (OSTI)

Jan 13, 2007 ... Integer Programming Solution Approach for Inventory-Production-Distribution Problems with Direct Shipments. Miguel A. Lejeune (mlejeune...

211

New EIA inventory tracks state energy efficiency programs ...  

U.S. Energy Information Administration (EIA)

EIA has compiled a nationwide inventory providing detailed summaries of energy efficiency evaluation reportscommonly called evaluation, measurement, and ...

212

New EIA inventory tracks state energy efficiency programs - Today ...  

U.S. Energy Information Administration (EIA)

EIA has compiled a nationwide inventory providing detailed summaries of energy efficiency evaluation reportscommonly called evaluation, measurement, and ...

213

U.S. Distillate Inventory Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Distillate Inventory Outlook. Sources: History: EIA; Projections: Short-Term Energy Outlook, January 2001.

214

U.S. Crude Oil Inventory Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Crude Oil Inventory Outlook. Sources: History: EIA; Projections: Short-Term Energy Outlook, December 2000.

215

U.S. Distillate Inventory Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Distillate Inventory Outlook. Sources: History: EIA; Projections: Short-Term Energy Outlook, December 2000

216

U.S. Life Cycle Inventory Database Dataset Additions - November...  

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

Life Cycle Inventory Database Dataset Additions - Type Category Dataset Name Chemical Manufacturing Polylactide Biopolymer Resin, at plant Chemical Manufacturing Recycled...

217

Terrestrial Carbon Inventory at the Savannah River Site, 1951 2001.  

Science Conference Proceedings (OSTI)

A Power Point slide presentation/report on the terestrial carbon inventory at the Savannah River Site.

US Forest Service - Annonymous,

2012-02-01T23:59:59.000Z

218

Climate VISION: Private Sector Initiatives: Lime: GHG Inventory...  

Office of Scientific and Technical Information (OSTI)

GHG Inventory Protocols Read the CO2 Emissions Calculation Protocol for the Lime industry (PDF 229 KB) Download Acrobat Reader...

219

U.S. Crude Oil Inventory Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Crude Oil Inventory Outlook. Sources: History: EIA; Projections: Short-Term Energy Outlook, November 2000.

220

A Periodic Inventory Routing Problem at a Supermarket Chain  

Science Conference Proceedings (OSTI)

Albert Heijn, BV, a supermarket chain in the Netherlands, faces a vehicle routing and delivery scheduling problem once every three to six months. Given hourly demand forecasts for each store, travel times and distances, cost parameters, and various transportation ... Keywords: Inventory: inventory routing, Networks, matchings: application to inventory routing, Transportation, vehicle routing: algorithm and implementation

Vishal Gaur; Marshall L. Fisher

2004-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "inventory forms xls" 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

Storage-Space Capacitated Inventory System with (r, Q) Policies  

Science Conference Proceedings (OSTI)

We deal with an inventory system with limited storage space for a single item or multiple items. For the single-item system, customers' demand is stochastic. The inventory is controlled by a continuous-review (r, Q) policy. Goods are replenished ... Keywords: (r, Q) policy, algorithm, inventory/production, programming, stochastic demand, storage-space constraint

Xiaobo Zhao; Fan Fan; Xiaoliang Liu; Jinxing Xie

2007-09-01T23:59:59.000Z

222

Concept inventories in computer science for the topic discrete mathematics  

Science Conference Proceedings (OSTI)

This report describes concept inventories, specialized assessment instruments that enable educational researchers to investigate student (mis)understandings of concepts in a particular domain. While students experience a concept inventory as a set of ... Keywords: assessment, assessment tools, concept inventory, discrete mathematics, distractors, misconceptions

Vicki L. Almstrum; Peter B. Henderson; Valerie Harvey; Cinda Heeren; William Marion; Charles Riedesel; Leen-Kiat Soh; Allison Elliott Tew

2006-12-01T23:59:59.000Z

223

Air Emission Inventory for the INEEL -- 1999 Emission Report  

Science Conference Proceedings (OSTI)

This report presents the 1999 calendar year update of the Air Emission Inventory for the Idaho National Engineering and Environmental Laboratory (INEEL). The INEEL Air Emission Inventory documents sources and emissions of nonradionuclide pollutants from operations at the INEEL. The report describes the emission inventory process and all of the sources at the INEEL, and provides nonradionuclide emissions estimates for stationary sources.

Zohner, Steven K

2000-05-01T23:59:59.000Z

224

Improved inventory and production control on a multi-product production line : seasonality analysis, inventory supermarket, and Kanban design  

E-Print Network (OSTI)

This research creates a system to help PDAP Electronics Singapore control its inventories and achieve demand-driven production on a multiple-product production line. One stage is chosen for study in this thesis. An inventory ...

Zhong, Yuan, M. Eng. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

225

U.S. Crude Oil Inventory Outlook  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: Consistent with OECD inventories, U.S. inventories are low. They have been well below the normal range for over one year. Crude oil stocks in the United States, while tending to increase of late toward more normal levels, remain well below average. At the end of December, crude oil stocks were near 289 million barrels, about 4% below the 5-year average, and slightly higher than at the end of 1999. The latest weekly data, for the week ending January 19, show U.S. crude oil stocks at 286 million barrels, just about a million barrels above their level a year ago. Near-term tightness in U.S. crude oil markets have kept current prices above forward prices, reflecting current strength in crude oil demand relative to supply. Relatively strong U.S. oil demand next year should keep crude oil

226

FY 2007 FAIR ACT INVENTORY REASON CODES  

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

08 FAIR ACT INVENTORY REASON CODES 08 FAIR ACT INVENTORY REASON CODES Office of Procurement and Assistance Management A The Commercial Activity is not appropriate for private sector performance pursuant to a written determination by the CSO. B The Commercial Activity is suitable for a streamlined or standard competition. D The Commercial Activity is performed by government personnel as the result of a standard or streamlined competition (or a cost comparison, streamlined cost comparison, or direct conversion) within the past five years. D1 Graphics FTEs representing the implemented MEO resulting from the 2002-2003 Competitive Sourcing Studies. D2 Financial Services FTEs representing the implemented MEO resulting from the 2002-2003 Competitive Sourcing Studies. D3 NNSA Logistics FTEs representing the implemented MEO resulting from the 2002-2003 Competitive Sourcing Studies.

227

U.S. Distillate Inventory Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Total distillate stocks rose only marginally in November, to about 117 million barrels from about 115 million barrels at the end of October. The "normal" or average inventory level at end November is 146 million barrels. Thus, by the end of November, instead of seeing an improvement, US distillate inventories were 30 million barrels less than normal rather than the 26 million barrels less as of the end of October, indicating greater tightness in markets for heating oil and diesel fuel. If the currently depressed level of distillate stocks continues, the result could be strong upward pressure on prices for the distillate fuels through the winter. In fact, the tightness in distillate markets, particularly in the Northeast, has worsened and left the heating oil market more vulnerable

228

U.S. Crude Oil Inventory Outlook  

Gasoline and Diesel Fuel Update (EIA)

Like the rest of the OECD countries, US petroleum inventories are low and Like the rest of the OECD countries, US petroleum inventories are low and are not expected to recover to the normal range this winter. Preliminary data for the end of October indicate it may be the lowest level for crude oil stocks in the United States since weekly data began being collected in 1982, when crude oil inputs to refineries were about 3-4 million barrels per day less than today. U.S. crude oil stocks stood at about 283 million barrels on November 3, according to EIA's latest weekly survey. This puts them about 21 million barrels or 7% below the level seen at the same time last year. Current market conditions do suggest some improvement in the near term. Days supply of commercial crude oil stocks in the United States is estimated to have been 19 days in October, the lowest for that month since

229

Tritium Inventory in Aries-AT  

SciTech Connect

This report documents an investigation into the tritium inventory expected in the ARIES-AT fusion reactor. ARIES-AT features silicon carbide fibers in a silicon carbide matrix as its primary construction. It uses the same fusion power core as the previous ARIES-RS. Based on experimental results of several researchers, consideration was given to swelling, sputtering, film coatings, erosion, and implantation. Estimates were made of tritium inventory using the TMAP4 code. About 700 g of tritium may be expected in the machines, two thirds of which would reside in the first wall. Under assumed accident conditions that involve firs wall temperatures up to 1000C, evolution of retained tritium may be expected to vary from 0.8 to nearly 40 percent depending on the temperature of the first wall.

Longhurst, Glen Reed

2001-02-01T23:59:59.000Z

230

Physical Inventory Listing NRC 742cu  

National Nuclear Security Administration (NNSA)

A 864 0 0 90 J 1 1 A 864 0 0 90 J 2 2 1* 1* E4 E2 E1 864 0 90 J 3 2 A 0 4 *Reporting itemized inventory Total U U-235 E1 0.4 0.001 E2 0.4 0.11 E4 0.4 0.39 Total: 1.2 0.50...

231

An Effective Implementation of Operational Inventory Management  

E-Print Network (OSTI)

This Record of Study describes the Doctor of Engineering (DE) internship experience at the Supply Chain Systems Laboratory (SCSL) at Texas A&M University. The objective of the internship was to design and develop automation tools to streamline lab operations related to inventory management projects and during that process adapt and/or extend theoretical inventory models according to real-world business complexity and data integrity problems. A holistic approach to automation was taken to satisfy both short-term and long-term needs subject to organizational constraints. A comprehensive software productivity tool was designed and developed that considerably reduced time and effort spent on non-value adding activities. This resulted in standardizing and streamlining data analysis related activities. Real-world factors that significantly influence the data analysis process were identified and incorporated into model specifications. This helped develop an operational inventory management model that accounted for business complexity and data integrity issues commonly encountered during implementation. Many organizational issues including new business strategies, human resources, administration, and project management were also addressed during the course of the internship.

Sellamuthu, Sivakumar

2009-05-01T23:59:59.000Z

232

Building GHGs National Inventory Systems | Open Energy Information  

Open Energy Info (EERE)

GHGs National Inventory Systems GHGs National Inventory Systems Jump to: navigation, search Name Building GHGs National Inventory Systems - Capacity Development for National GHG´s Inventories in Non-Annex I Countries Agency/Company /Organization Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH Sector Climate Focus Area Renewable Energy, Greenhouse Gas Topics GHG inventory, Low emission development planning, -LEDS, -NAMA Resource Type Lessons learned/best practices References Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)[1] Program Overview The forthcoming climate regime will include a global mechanism called REDD - Reducing Emissions from Deforestation and Forest Degradation. Each developing country must draw up a Greenhouse Gas Inventory (GHG Inventory)

233

Excess Uranium Inventory Management Plan 2008 | Department of Energy  

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

Excess Uranium Inventory Management Plan 2008 Excess Uranium Inventory Management Plan 2008 Excess Uranium Inventory Management Plan 2008 On March 11, 2008, Secretary of Energy Samuel W. Bodman signed a policy statement1 on the management of the U.S. Department of Energy's (DOE) excess uranium inventory (Policy Statement). This Policy Statement provides the framework within which DOE will make decisions concerning future use and disposition of this inventory. The Policy Statement commits DOE to manage those inventories in a manner that: (1) is consistent with all applicable legal requirements; (2) maintains sufficient uranium inventories at all times to meet the current and reasonably foreseeable needs of DOE missions; (3) undertakes transactions involving non-U.S. Government entities in a transparent and competitive manner, unless the Secretary of

234

DOE Releases Excess Uranium Inventory Plan | Department of Energy  

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

Excess Uranium Inventory Plan Excess Uranium Inventory Plan DOE Releases Excess Uranium Inventory Plan December 16, 2008 - 8:51am Addthis WASHINGTON, D.C. - The United States Department of Energy (DOE) today issued its Excess Uranium Inventory Management Plan (the Plan), which outlines the Department's strategy for the management and disposition of its excess uranium inventories. The Plan highlights DOE's ongoing efforts to enhance national security and promote a healthy domestic nuclear infrastructure through the efficient and cost-effective management of its excess uranium inventories. The Department has a significant inventory of uranium that is excess to national defense needs and is expensive both to manage and secure. "The Plan provides the general public and interested stakeholders more

235

Excess Uranium Inventory Management Plan | Department of Energy  

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

Excess Uranium Inventory Management Plan Excess Uranium Inventory Management Plan Excess Uranium Inventory Management Plan The 2013 Excess Uranium Inventory Management Plan describes a framework for the effective management of the Energy Department's surplus uranium inventory in support of meeting its critical environmental cleanup and national security missions. The Plan is not a commitment to specific activities beyond those that have already been contracted nor is it a restriction on actions that the Department may undertake in the future as a result of changing conditions. It replaces an earlier plan issued in 2008 and reflects updated information on the Department of Energy's management and disposition of its excess uranium inventories. Excess Uranium Inventory Management Plan More Documents & Publications

236

IPCC Guidelines for National Greenhouse Gas Inventories | Open Energy  

Open Energy Info (EERE)

IPCC Guidelines for National Greenhouse Gas Inventories IPCC Guidelines for National Greenhouse Gas Inventories Jump to: navigation, search Tool Summary Name: IPCC Guidelines for National Greenhouse Gas Inventories Agency/Company /Organization: World Meteorological Organization, United Nations Environment Programme Sector: Energy, Land Topics: GHG inventory, Background analysis Resource Type: Guide/manual, Training materials References: 2006 IPCC Guidelines for National Greenhouse Gas Inventories[1] Logo: IPCC Guidelines for National Greenhouse Gas Inventories "The 2006 IPCC Guidelines for National Greenhouse Gas Inventories (2006 Guidelines) were produced at the invitation of the United Nations Framework Convention on Climate Change(UNFCCC) to update the Revised 1996 Guidelines and associated good practice guidance which provide internationally agreed

237

Form EIA-860 Annual Electric Generator Report | OpenEI  

Open Energy Info (EERE)

761 761 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142263761 Varnish cache server Form EIA-860 Annual Electric Generator Report Dataset Summary Description The Form EIA-860 is a generator-level survey that collects specific information about existing and planned generators and associated environmental equipment at electric power plants with 1 megawatt or greater of combined nameplate capacity. The survey data is summarized in reports such as the Electric Power Annual. The survey data is also available for download here. The data are compressed into a self-extracting (.exe) zip folder containing .XLS data files and record layouts. The current file structure (starting with 2009 data) consists

238

Tools for Forest Carbon Inventory, Management, and Reporting | Open Energy  

Open Energy Info (EERE)

Tools for Forest Carbon Inventory, Management, and Reporting Tools for Forest Carbon Inventory, Management, and Reporting Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Tools for Carbon Inventory, Management, and Reporting Agency/Company /Organization: United States Forest Service, United States Department of Agriculture Sector: Land Focus Area: Forestry Topics: GHG inventory, Resource assessment Resource Type: Guide/manual, Lessons learned/best practices, Publications, Training materials, Software/modeling tools User Interface: Desktop Application, Website Website: nrs.fs.fed.us/carbon/tools/ Cost: Free Tools for Carbon Inventory, Management, and Reporting Screenshot References: Carbon Tools[1] Logo: Tools for Carbon Inventory, Management, and Reporting "Accurate estimates of carbon in forests are crucial for forest carbon

239

ARM - Forms  

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

ARMForms About Become a User Recovery Act Mission FAQ History Organization Participants Facility Statistics Forms Contacts Facility Documents ARM Management Plan (PDF, 335KB) Field...

240

Applying a MEIO approach to manage Intel's VMI Hub Supply; Applying a Multi Echelon Inventory Optimization approach to manage Intel's Vendor Managed Inventory Hub Supply.  

E-Print Network (OSTI)

??To improve customer service levels, Intel implemented Vendor Managed Inventory (VMI) hub process for its Central Processing Unit (CPU) Finished Good (FG) inventory, which allows (more)

Hsieh, Min Fang, M.B.A. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "inventory forms xls" 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

Hanford regulated laundry: inventory control and production improvement study  

SciTech Connect

The purpose of this report is to assist the Hanford regulated laundry facility in reducing processing costs and in improving facility performance. Specific problem areas addressed were: no method for determining optimum manpower requirements, resulting in excessive amounts of employee overtime; no buffer inventory available to offset demand peaks, resulting in additional employee overtime and unmet demand; lack of adequate inventory control, resulting in unnecessary inventory costs; and no detailed analysis of the impact of 100% monitoring.

Hostick, C.J.; Imhoff, C.H.; Levine, L.O.

1986-04-01T23:59:59.000Z

242

Use of Chemical Inventory Accuracy Measurements as Leading Indicators  

Science Conference Proceedings (OSTI)

Chemical safety and lifecycle management (CSLM) is a process that involves managing chemicals and chemical information from the moment someone begins to order a chemical and lasts through final disposition(1). Central to CSLM is tracking data associated with chemicals which, for the purposes of this paper, is termed the chemical inventory. Examples of data that could be tracked include chemical identity, location, quantity, date procured, container type, and physical state. The reason why so much data is tracked is that the chemical inventory supports many functions. These functions include emergency management, which depends upon the data to more effectively plan for, and respond to, chemical accidents; environmental management that uses inventory information to aid in the generation of various federally-mandated and other regulatory reports; and chemical management that uses the information to increase the efficiency and safety with which chemicals are stored and utilized. All of the benefits of having an inventory are predicated upon having an inventory that is reasonably accurate. Because of the importance of ensuring one's chemical inventory is accurate, many have become concerned about measuring inventory accuracy. But beyond providing a measure of confidence in information gleaned from the inventory, does the inventory accuracy measurement provide any additional function? The answer is 'Yes'. It provides valuable information that can be used as a leading indicator to gauge the health of a chemical management system. In this paper, we will discuss: (1) what properties make leading indicators effective, (2) how chemical inventories can be used as a leading indicator, (3) how chemical inventory accuracy can be measured, what levels of accuracies should realistically be expected in a healthy system, and (4) what a subpar inventory accuracy measurement portends.

Quigley, David; Freshwater, David; Alnajjar, Mikhail S.; Siegel, Dina; Kuntamukkula, Murty; Simmons, Fred

2012-05-15T23:59:59.000Z

243

USE OF CHEMICAL INVENTORY ACCURACY MEASUREMENTS AS LEADING INDICATORS  

Science Conference Proceedings (OSTI)

Chemical safety and lifecycle management (CSLM) is a process that involves managing chemicals and chemical information from the moment someone begins to order a chemical and lasts through final disposition(1). Central to CSLM is tracking data associated with chemicals which, for the purposes of this paper, is termed the chemical inventory. Examples of data that could be tracked include chemical identity, location, quantity, date procured, container type, and physical state. The reason why so much data is tracked is that the chemical inventory supports many functions. These functions include emergency management, which depends upon the data to more effectively plan for, and respond to, chemical accidents; environmental management that uses inventory information to aid in the generation of various federally-mandated and other regulatory reports; and chemical management that uses the information to increase the efficiency and safety with which chemicals are stored and utilized. All of the benefits of having an inventory are predicated upon having an inventory that is reasonably accurate. Because of the importance of ensuring one's chemical inventory is accurate, many have become concerned about measuring inventory accuracy. But beyond providing a measure of confidence in information gleaned from the inventory, does the inventory accuracy measurement provide any additional function? The answer is 'Yes'. It provides valuable information that can be used as a leading indicator to gauge the health of a chemical management system. In this paper, we will discuss: what properties make leading indicators effective, how chemical inventories can be used as a leading indicator, how chemical inventory accuracy can be measured, what levels of accuracies should realistically be expected in a healthy system, and what a subpar inventory accuracy measurement portends.

Kuntamukkula, M.

2011-02-10T23:59:59.000Z

244

Global Atmospheric Pollution Forum Air Pollutant Emission Inventory | Open  

Open Energy Info (EERE)

Global Atmospheric Pollution Forum Air Pollutant Emission Inventory Global Atmospheric Pollution Forum Air Pollutant Emission Inventory Jump to: navigation, search Tool Summary Name: Global Atmospheric Pollution (GAP) Forum Air Pollutant Emission Inventory Agency/Company /Organization: BOC foundation, U.S. Environment Protection Agency (EPA) and Swedish International Development Cooperation Agency (SIDA) Complexity/Ease of Use: Moderate Website: sei-international.org/rapidc/gapforum/html/emissions-manual.php Cost: Free Related Tools Global Atmospheric Pollution Forum Air Pollutant Emission Inventory World Induced Technical Change Hybrid (WITCH) Energy Development Index (EDI) ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS A manual that provides formulation of methods and assessment of good

245

Moldova National Inventory Report - Lessons Learned | Open Energy  

Open Energy Info (EERE)

Moldova National Inventory Report - Lessons Learned Moldova National Inventory Report - Lessons Learned Jump to: navigation, search Name Moldova Second National Inventory Report - Lessons Learned Agency/Company /Organization United Nations Development Programme Sector Energy, Land Topics GHG inventory, Background analysis Resource Type Publications, Lessons learned/best practices Country Moldova Eastern Europe References UNDP National Communications Support Program[1] "Key Lessons Learned From The Process of Preparing Moldova's SNC 1. National experts stated that IPCC default Emission Factors (EFs) were sometimes inappropriate for sources highly dependent on local conditions. Active involvement of key stakeholders and relevant organizations made it possible for Moldova to develop local EFs for prioritized key sources;

246

Assess and improve the national GHG inventory and other economic...  

Open Energy Info (EERE)

development Greenhouse Gas Inventory Development Toolkit 3a. Analytical Decision Making - Developing BAU Scenario 3b. Analytical Decision Making - Assessing Opportunities 3b.1....

247

Inventory Tracking and Management: Fact Sheet | National Nuclear...  

National Nuclear Security Administration (NNSA)

Inventory Tracking and Management: Fact Sheet Mar 23, 2012 Under International Atomic Energy Agency (IAEA) safeguards agreements, States are required to establish a "state system...

248

EIA provides new breakout of natural gas storage inventories in ...  

U.S. Energy Information Administration (EIA)

Starting with the March 22, 2012 edition of the Weekly Natural Gas Storage Report, EIA will provide new breakouts of inventory levels at salt cavern and nonsalt ...

249

Working natural gas inventories below last year's level at ...  

U.S. Energy Information Administration (EIA)

Despite inventory levels at the end of March above the 5-year average, cumulative net injections this year are over 20% lower than in 2010.

250

NREL: U.S. Life Cycle Inventory Database - Webmaster  

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

name: Your email address: Your message: Send Message Printable Version Life Cycle Inventory Home About the Project Database Publications Life Cycle Assessments Related Links...

251

A Case Study of Joint Online Truck Scheduling and Inventory ...  

E-Print Network (OSTI)

Jan 20, 2005 ... The essential new element linking routing and inventory management is a convex piecewise linear cost function that is based on minimizing...

252

U.S. Life Cycle Inventory Database Roadmap (Brochure)  

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

LIFE CYCLE INVENTORY DATABASE ROADMAP rsed e Goals of the U.S. LCI Database Project * Maintain data quality and transparency. * Cover commonly used materials, products, and...

253

Climate VISION: Private Sector Initiatives: Magnesium: GHG Inventory...  

Office of Scientific and Technical Information (OSTI)

GHG Inventory Protocols The Magnesium Industry Partnership's SF6 emissions tracking and reporting software tool (Excel based) can be accessed by visiting the Partnership's...

254

Optimization Online - Coherent Risk Measures in Inventory Problems  

E-Print Network (OSTI)

Dec 19, 2005 ... Abstract: We analyze an extension of the classical multi-period, single-item, linear cost inventory problem where the objective function is a...

255

Optimization Online - Lot Sizing with Inventory Bounds and Fixed ...  

E-Print Network (OSTI)

Jul 15, 2003 ... Abstract: We investigate the polyhedral structure of the lot-sizing problem with inventory bounds. We consider two models, one with linear costs...

256

Integrated Forecasting and Inventory Control for Seasonal Demand  

E-Print Network (OSTI)

Mar 14, 2008 ... Abstract: We present a data-driven forecasting technique with integrated inventory control for seasonal data and compare it to the traditional...

257

The single-period inventory model with spectral risk measures.  

E-Print Network (OSTI)

??Inventory management and pricing decisions based on quantitative models both in industrial practice and academic works often rely on minimizing expected cost or maximizing expected (more)

Fichtinger, Johannes

2010-01-01T23:59:59.000Z

258

INVENTORY DYNAMICS IMPLEMENTATION TO A NETWORK DESIGN MODEL Format Review.  

E-Print Network (OSTI)

??This research presents an inventory dynamics model that is implemented into an already existing supply chain footprint model for a multinational manufacturing company. The model (more)

Better Romero, Miguel

2009-01-01T23:59:59.000Z

259

A new robust cycle-based inventory control policy  

E-Print Network (OSTI)

Abstract: In this paper, we propose a new robust cycle-based control policy for single installation inventory models with non-stationary uncertain demand.

260

Application of dynamic programming model in inventory management.  

E-Print Network (OSTI)

???This thesis aims to apply dynamic programming approach to formulate three main topics related to inventory management under three real world situations and then propose (more)

Tao, Feng ( ??)

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "inventory forms xls" 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

Inventory management in a pharmaceutical company : minimizing discard practices.  

E-Print Network (OSTI)

??Pharmaceutical company SPM has over 400 cases of inventory discards over the past five years which constitute a significant operating cost. Due to the complexity (more)

Wang, Xiaojun, M. Eng. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

262

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels  

U.S. Energy Information Administration (EIA)

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels MICHAEL YE,? JOHN ZYREN,?? AND JOANNE SHORE?? Abstract This paper presents a short ...

263

EIA provides new breakout of natural gas storage inventories ...  

U.S. Energy Information Administration (EIA)

Starting with the March 22, 2012 edition of the Weekly Natural Gas Storage Report, EIA will provide new breakouts of inventory levels at salt cavern ...

264

Federal Energy Management Program: Federal Greenhouse Gas Inventories...  

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

to FY 2008. Read the White House Council on Environmental Quality's Guidance for Federal Greenhouse Gas Accounting and Inventories under E.O. 13515. The Federal Energy Management...

265

GREENHOUSE GAS (GHG) INVENTORY REPORT 20102011 Dalhousie Office of Sustainability  

E-Print Network (OSTI)

GREENHOUSE GAS (GHG) INVENTORY REPORT 20102011 Dalhousie Office of Sustainability ..................................... 30 Appendix E: Canadian Default Factors for Calculating CO2 Emissions from Combustion of Natural Gas

Brownstone, Rob

266

BCM 1 Equipment Inventory | Sample Preparation Laboratories  

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

1 Equipment Inventory 1 Equipment Inventory « Biology Chemistry & Material Science Laboratory 1 Title Equipment Type Description Agilent 8453 UV-Vis Spectrophotometer Analytical Agilent 8453 UV-VIS diode-array spectrophotometer. Wavelength range 190-1100 nm with a 1 nm optical slit width. Disposable plastic cuvettes are available in the lab, and quartz cuvettes and microcuvettes are available on a check-out basis. Beckman GPKR Centrifuge Centrifuge Beckman GPKR refrigerated centrifuge with fixed angle rotor, 8000 rpm max speed, temperature range -10°C to 40°C, fits 50mL tubes. Corning 430 pH Meter pH Meter The Corning 430 pH meter is designed to handle laboratory applications from the most routine to the highly complex. Encased in spill-resistant housings and feature chemical-resistant, sealed keypad. Model 430 (pH range 0.00 to 14.00) is a basic, yet reliable meter providing accurate, efficient digital measurements. Offers simplified, four-button operation, automatic calibration and temperature compensation, % slope readout, self-diagnostics test on powerup and analog recorder output. Unique LCD shows pH, mV

267

EEOC FORM  

National Nuclear Security Administration (NNSA)

U.S. Department of Energy U.S. Department of Energy National Nuclear Security Administration Management Directive-715 Fiscal Year 2012 DOE NNSA February 4, 2013 i National Nuclear Security Administration U.S. Department of Energy ANNUAL EEO PROGRAM STATUS REPORT EEO PLAN TO ATTAIN THE ESSENTIAL ELEMENTS OF A MODEL EEO PROGRAM Table of Contents Page FORM 715-01 Part A Department or Agency Identifying Information......................1 FORM 715-01 Part B Total Employment....................................................................1 FORM 715-01 Part C Agency Official(s) Responsible for oversight of EEO Program(s)................................................................................................................1

268

order form  

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

Customer Order Form Customer Order Form Fermilab Education Office - Customer Order Form PO BOX 500, MS 777, Batavia, IL 60510 * ph. 630-840-8258 * fax 630-840-2500 * avarry@fnal.gov Date: This order be: SHIPPED PICKED UP? Bill to: Ship to: Contact/Institution name: Email: Phone: Fax: Payment method (please circle): Visa/MasterCard - Check - Purchase Order  Visa/MasterCard # P.O. # Exp Date: Quantity Ordered Item Name Item Description (color, size, etc.) Price Each Total Amount  For purchases over $200 only *IL residents ONLY: Add 7.5% sales tax to your order.

269

The National Inventory of Landscapes in Sweden (NILS) is a new, nationwide environmental monitoring programme focused on  

E-Print Network (OSTI)

aerial photo interpretation as well as field inventories. The programme commenced in full scale during in the form of a reference group. Cooperation Methods for aerial photo interpretation were de- veloped breeding bird survey, NILS provides the survey with biotope data. For further information, contact: Mailing

270

Form Approved  

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

DISCLOSURE OF INFORMATION: The items RESPONDENT IDENTIFICATION Company Name and OTHER PARTY NAME (Item 1.A.), and SELLER'S NAME (Item 3.B.) on Form EIA-858 are DISCLOSURE OF INFORMATION: The items RESPONDENT IDENTIFICATION Company Name and OTHER PARTY NAME (Item 1.A.), and SELLER'S NAME (Item 3.B.) on Form EIA-858 are NOT considered confidential and may be publicly released in identifiable form. All other information you provide will be used for statistical purposes only. In accordance with the Confidential Information Protection provisions of Title V, Subtitle A of Public Law 107-347 and other applicable Federal laws, your responses will be kept confidential and will not be disclosed in identifiable form to anyone other than employees or agents without your consent. By law, every EIA employee, as well as every agent, is subject to a jail term, a fine of up to $250,000, or both if he or she discloses ANY identifiable information about you.

271

Sponsorship Form  

Science Conference Proceedings (OSTI)

May 20, 2007 ... Conference Banquet. $5,000. Signage, napkins. (limit 4 sponsors). Mail or fax this form to: TMS c/o Arlene Frances. Phone: (724) 776-9000, ext.

272

The exact solution of several classes of inventory-routing problems  

Science Conference Proceedings (OSTI)

In order to be competitive companies need to take advantage of synergistic interactions between different decision areas. Two of these are related to the distribution and inventory management processes. Inventory-Routing Problems (IRPs) arise when inventory ... Keywords: Branch-and-cut, Consistency, Inventory management, Inventory-routing, Multi-vehicle, Transshipment, Vehicle routing

Leandro C. Coelho; Gilbert Laporte

2013-02-01T23:59:59.000Z

273

Correlation of Price to Inventory Levels  

Gasoline and Diesel Fuel Update (EIA)

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

274

Estimation of Chinese Inventories for Historical NMVOCs Emissions from Combustion  

Science Conference Proceedings (OSTI)

Based on time-varying statistical data and emission factors, multiyear NMVOCs emission inventories from fossil fuel combustion, biofuel burning, and biomass open burning in China for 1980-2005 were presented by a bottom-up estimate. The contributions ... Keywords: NMVOCs, emission inventory, combustion, China

Y. Bo; H. Cai; S. D. Xie

2008-10-01T23:59:59.000Z

275

Optimal Control and Equilibrium Behavior of Production-Inventory Systems  

Science Conference Proceedings (OSTI)

The relationship between commodity inventory and short-term price variations has received considerable attention, but the understanding has been limited to single-stage cross-sectional relation. In this paper, we aim to deepen our understanding of the ... Keywords: optimal control, petroleum industry, production-inventory system, rational expectations equilibrium

Owen Q. Wu; Hong Chen

2010-08-01T23:59:59.000Z

276

Fuel-Based On-Road Motor Vehicle Emissions Inventory  

E-Print Network (OSTI)

Fuel-Based On-Road Motor Vehicle Emissions Inventory for the Denver Metropolitan Area Sajal S sales from tax department -quite precise Inventory -uncertainty can be estimated Travel Based Model FuelGasohol (LTK, PAS) Tons/day3748369Gasoline (LTK, PAS) g per kg of fuel7859Gasohol (LTK, PAS) g per kg

Denver, University of

277

Warranty Inventory Optimization for Hitachi Global Storage Technologies, Inc.  

Science Conference Proceedings (OSTI)

Warranty inventory management is a challenge that many companies must confront. Customers return allegedly defective units to a company for replacement or credit. The company can then economically recover the unit through either a testing or remanufacturing ... Keywords: applications, closed-loop supply chains, heuristics, inventory, periodic, single location, stochastic, warranty returns

John Khawam; Warren H. Hausman; Dinah W. Cheng

2007-09-01T23:59:59.000Z

278

The integrated production---inventory---distribution---routing problem  

Science Conference Proceedings (OSTI)

The integration of production and distribution decisions presents a challenging problem for manufacturers trying to optimize their supply chain. At the planning level, the immediate goal is to coordinate production, inventory, and delivery to meet customer ... Keywords: Allocation model, Inventory, Lot-sizing, Production planning, Tabu search, Vehicle routing problem

Jonathan F. Bard; Narameth Nananukul

2009-06-01T23:59:59.000Z

279

Chemical Inventories Are Due March 15, 2011 In order to meet regulatory requirements the University must conduct a periodic inventory of  

E-Print Network (OSTI)

Chemical Inventories Are Due March 15, 2011 In order to meet regulatory requirements the University must conduct a periodic inventory of chemicals on campus. In support of this effort, labs must submit a chemical inventory by Tuesday, March 15, 2011. Campus point of contact to submit inventories

Tennessee, University of

280

Chemical Inventories Are Due March 1, 2013 In order to meet regulatory requirements the University must conduct a periodic inventory of  

E-Print Network (OSTI)

Chemical Inventories Are Due March 1, 2013 In order to meet regulatory requirements the University must conduct a periodic inventory of chemicals on campus. In support of this effort departments with chemicals must submit a inventory by Thursday, March 1, 2013. Campus point of contact to submit inventories

Tennessee, University of

Note: This page contains sample records for the topic "inventory forms xls" 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

Chemical Inventories Are Due March 1, 2012 In order to meet regulatory requirements the University must conduct a periodic inventory of  

E-Print Network (OSTI)

Chemical Inventories Are Due March 1, 2012 In order to meet regulatory requirements the University must conduct a periodic inventory of chemicals on campus. In support of this effort departments with chemicals must submit a inventory by Thursday, March 1, 2012. Campus point of contact to submit inventories

Tennessee, University of

282

Chapter 09 - Accounting for Inventory and Related Property  

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

5-4-2012 5-4-2012 9-1 CHAPTER 9 ACCOUNTING FOR INVENTORY AND RELATED PROPERTY 1. INTRODUCTION. a. Purpose. This chapter establishes the DOE inventory and related property managerial accounting policies and general procedures defined by statutory requirements, FASAB, and other Federal guidance as required. b. Background. In the Department of Energy (DOE), the term "inventory" has been used broadly to cover inventory, materials, and other related property. In this chapter the term is used as defined in the Statement of Federal Financial Accounting Standards No. 3 (SFFAS No. 3), "Accounting for Inventory and Related Property," promulgated by the Office of Management and Budget (OMB) on October 27, 1993. In this

283

DOE Announces Policy for Managing Excess Uranium Inventory | Department of  

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

Policy for Managing Excess Uranium Inventory Policy for Managing Excess Uranium Inventory DOE Announces Policy for Managing Excess Uranium Inventory March 12, 2008 - 10:52am Addthis WASHINGTON, DC - U.S. Secretary of Energy Samuel W. Bodman today released a Policy Statement on the management of the Department of Energy's (DOE) excess uranium inventory, providing the framework within which DOE will make decisions concerning future use and disposition of its inventory. During the coming year, DOE will continue its ongoing program for downblending excess highly enriched uranium (HEU) into low enriched uranium (LEU), evaluate the benefits of enriching a portion of its excess natural uranium into LEU, and complete an analysis on enriching and/or selling some of its depleted uranium. Specific transactions are expected to occur in

284

Greenhouse Gas Inventory Development in Asia | Open Energy Information  

Open Energy Info (EERE)

Greenhouse Gas Inventory Development in Asia Greenhouse Gas Inventory Development in Asia Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Greenhouse Gas Inventory Development in Asia Agency/Company /Organization: Center for Global Environmental Research Sector: Energy, Land Topics: GHG inventory Resource Type: Guide/manual, Lessons learned/best practices Website: www.nies.go.jp/gaiyo/media_kit/9.WGIA_I067.pdf Country: Cambodia, China, India, Indonesia, Japan, South Korea, Laos, Malaysia, Mongolia, Philippines, Thailand, Vietnam South-Eastern Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Eastern Asia, Eastern Asia, South-Eastern Asia, South-Eastern Asia, Eastern Asia, South-Eastern Asia, South-Eastern Asia, South-Eastern Asia Greenhouse Gas Inventory Development in Asia Screenshot

285

Registration Form  

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

SNAP COLLABORATION MEETING JUNE 1 - 3, 2006 REGISTRATION FORM To register, please fill out the registration form below and click on the "SEND" button. Your registration will allow us to make security access and hospitality arrangements for you. Deadline: Please register NLT Wednesday, May 24, 2006. 1. Your Name (Last, First): 2. Your Institution: 3. Email address: 4. Citizenship (for non-DOE employees/guests): 5. Arrival date: 6. Departure Date: 7. Will you be attending the working dinner on Thursday, June 1? Yes No 8. Any dietary restrictions? Please click on the "Send" button below to email this form automatically to snap@lbl.gov. An automatic email reply receipt confirmation will be sent back to your email address. Send Reset Thank you!

286

An inventory of invasive alien species in China 1 An inventory of invasive alien species in China  

E-Print Network (OSTI)

An inventory of invasive alien species in China 1 An inventory of invasive alien species in China, Nanjing, China 2 Nanjing Agricultural University, Nanjing, China 3 ISPRA ­ Institute for Environmental and Environment, Nanjing Forestry University, Nanjing, China 5 The First Institute of Oceanography, State Oceanic

Kratochvíl, Lukas

287

Inventory of China's Energy-Related CO2 Emissions in 2008  

E-Print Network (OSTI)

National Greenhouse Gas Inventories Reference Manual (VolumeNational Greenhouse Gas Inventories: the Workbook (VolumeN ATIONAL L ABORATORY Inventory of Chinas Energy-Related CO

Fridley, David

2011-01-01T23:59:59.000Z

288

Conserving the Connections: A Nationwide Inventory of State-Based Habitat Connectivity Analysis  

E-Print Network (OSTI)

at the time that this inventory was conducted and written.for the sake of this inventory, both terms may refer to theto be implemented. This inventory examines eleven statewide

Feinberg, Jesse

2007-01-01T23:59:59.000Z

289

Inventory Fluctuations and Price Discrimination: The Determinants of Price Variation in Car Retailing  

E-Print Network (OSTI)

Dynamic Pricing of Inventories with Stochastic Demand overStatistics Obs Price Inventory DaysToTurn LocalInv LotFullTable 2: Price e?ects of inventory Dep. Var. ln(price)

Zettelmeyer, Florian; Scott Morton, Fiona; Silva-Risso, Jorge

2005-01-01T23:59:59.000Z

290

Microsoft Word - PPL 970-Materials and Inventory 5-9-05.doc ...  

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

PPL 970-Materials and Inventory 5-9-05.doc Microsoft Word - PPL 970-Materials and Inventory 5-9-05.doc Microsoft Word - PPL 970-Materials and Inventory 5-9-05.doc More Documents &...

291

U.S. natural gas inventories at end of winter heating season ...  

U.S. Energy Information Administration (EIA)

... storage operators reflect a wide range of inventory levels, and they have a variety of ways they can work with their customers to manage these inventory levels.

292

Perishable items Inventory Mnagement and the Use of Time Temperature Integrators Technology.  

E-Print Network (OSTI)

??One of the implicit assumptions made in research related to inventory control is to keep products indefinitely in inventory to meet future demand. However, such (more)

Kouki, Chaaben

2010-01-01T23:59:59.000Z

293

A Branch-and-Price Guided Search Approach to Maritime Inventory ...  

E-Print Network (OSTI)

Coordinating inventory management and vehicle routing decisions presents ... almost all papers on the Inventory Routing Problem (IRP) are motivated by an.

294

Clean Energy Technologies: A Preliminary Inventory of the Potential for Electricity Generation  

E-Print Network (OSTI)

Technologies A Preliminary Inventory of the Potential for$/kWh References EPA. 2002. Inventory of U.S. Greenhouse Gas

Bailey, Owen; Worrell, Ernst

2005-01-01T23:59:59.000Z

295

U.S. Navy ships food service divisions: moderning inventory management .  

E-Print Network (OSTI)

??The Navy's current inventory management procedures for receipt, inventory, stowage, and issue of provisions onboard ships have remained relatively unchanged for decades. Culinary Specialists are (more)

James, Robert J.

2010-01-01T23:59:59.000Z

296

Form1  

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

B. U.S. DEPARTMENT OF ENERGY FORM 3304.2, B. U.S. DEPARTMENT OF ENERGY FORM 3304.2, APPROVAL OF EXPERT OR CONSULTANT EMPLOYMENT REQUEST U.S.DEPARTMENT OF ENERGY APPROVAL OF EXPERT OR CONSULTANT EMPLOYMENT REQUEST (Continued on Reverse) DOE F 3304.2 (01-07) 1. Name of Expert or Consultant: 2. Organization: 9. Current Employment (position, company, and location): 10. Home Address (city, state, and zip code): 11. Official Worksite (where services are to be performed): 12. APPROVALS 3. Action Requested: 4. Hourly Rate of Pay: 5. Nature of Appointment: 6. Period for Which Services Are Desired: 7. Estimated Number of Days to Be Worked: 8. Number of Days Worked Under Present Appointment: (Extension Only) 13. Description of Services Required: 14. Justification for this Expert/Consultant Action and Qualifications of Candidate Related to Need for Appointment:

297

NREL: U.S. Life Cycle Inventory Database - Related Links  

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

Related Links Related Links Below are links to life cycle inventory (LCI) databases, life cycle assessment (LCA) information, LCA tools, research institutes utilizing LCA, labeling initiatives and organizations, international LCA initiatives, LCA online forums. Life Cycle Inventory Data Ecoinvent: Swiss Centre for Life Cycle Inventories IVAM LCA Data 4: Dutch LCA Database KITECH (Korea Institute of Industrial Technology): Korea National Cleaner Production Center LCI Database Life Cycle Assessment Information IERE (The Institute for Environmental Research and Education): The American Center for Life Cycle Assessment SETAC (Society of Environmental Toxicology and Chemistry): SETAC Life Cycle Assessment SPOLD (Society for Promotion of Life-cycle Assessment Development): 2.0 LCA Consultants homepage

298

Estonian greenhouse gas emissions inventory report  

SciTech Connect

It is widely accepted that the increase of greenhouse gas concentrations in the atmosphere due to human activities would result in warming of the Earth`s surface. To examine this effect and better understand how the GHG increase in the atmosphere might change the climate in the future, how ecosystems and societies in different regions of the World should adapt to these changes, what must policymakers do for the mitigation of that effect, the worldwide project within the Framework Convention on Climate Change was generated by the initiative of United Nations. Estonia is one of more than 150 countries, which signed the Framework Convention on Climate Change at the United Nations Conference on Environment and Development held in Rio de Janeiro in June 1992. In 1994 a new project, Estonian Country Study was initiated within the US Country Studies Program. The project will help to compile the GHG inventory for Estonia, find contemporary trends to investigate the impact of climate change on the Estonian ecosystems and economy and to formulate national strategies for Estonia addressing to global climate change.

Punning, J.M.; Ilomets, M.; Karindi, A.; Mandre, M.; Reisner, V. [Inst. of Ecology, Tallinn (Estonia); Martins, A.; Pesur, A. [Inst. of Energy Research, Tallinn (Estonia); Roostalu, H.; Tullus, H. [Estonian Agricultural Univ., Tartu (Estonia)

1996-07-01T23:59:59.000Z

299

It Just Keeps Getting Better-Tru Waste Inventory  

Science Conference Proceedings (OSTI)

The Waste Isolation Pilot Plant (WIPP) opened on March 26, 1999, becoming the nation's first deep geologic repository for the permanent disposal of defense-generated transuranic (TRU) waste. In May 1998, the U. S. Environmental Protection Agency (EPA) certified WIPP and re-certified WIPP in March 2006. The knowledge of TRU waste inventory is fundamental to packaging, transportation, disposal strategies, resource allocation, and is also imperative when working in a regulatory framework. TRU waste inventory data are used to define the waste that will fill the WIPP repository in terms of volume, radionuclides, waste material parameters, other chemical components, and to model the impact of the waste on the performance of the WIPP over a 10,000-year evolution. The data that pertain to TRU waste is defined in the WIPP Land Withdrawal Act (LWA), as '..waste containing more that 100 nanocuries of alpha-emitting transuranic isotopes per gram of waste, with half-lives greater than 20 years..' Defining TRU waste further, the wastes are classified as either contact-handled (CH) or remote-handled (RH) TRU waste, depending on the dose rate at the surface of the waste container. CH TRU wastes are packaged with an external surface dose rate not greater than 200 milli-rem (mrem) per hour, while RH TRU wastes are packaged with an external surface dose rate of 200 mrem per hour or greater. The Los Alamos National Laboratory-Carlsbad Operations (LANL-CO) Inventory Team has developed a powerful new database, the Comprehensive Inventory Database (CID), to maintain the TRU waste inventory information. The CID is intended to replace the Transuranic Waste Baseline Inventory Database (TWBID), Revision 2.1, as the central inventory information repository for tracking all existing and potential (TRU) waste generated across the Department of Energy (DOE) TRU waste complex. It is also the source for information submitted for the Annual TRU Waste Inventory Reports some of which will be used in future Compliance Re-certification Applications (CRAs) for the WIPP. Currently, the DOE is preparing for the second re-certification, CRA-2009. The CID contains comprehensive TRU waste inventory that is consistent, relevant, and easily accessible to support DOE needs, not only the CRAs and performance assessments, but also waste management planning activities and other regulatory needs (e.g., National Environmental Policy Act (NEPA) analyses). The comprehensive inventory contains information obtained via inventory updates and approved acceptable knowledge (AK) characterization information to ensure inventory data integrity is maintained and the inventory is current. The TRU waste inventory is maintained in the CID under configuration management as defined in the LANL-CO Quality Assurance Program. The CID was developed using Microsoft{sup TM} Access Data Project{sup TM} (ADP) technology with a Microsoft SQL Server{sup TM} back end. The CID is user friendly, contains more fields, provides for easy upload of data, and has the capability to generate fully qualified data reports. To go along with the new database, the LANL-CO Inventory Team has developed an improved data collection/screening process and has excellent communications with the TRU waste site personnel. WIPP has now received over 6,000 shipments, emplaced over 50,000 cubic meters of CH waste, and successfully completed one re-certification. With a new robust qualified database, the CID, to maintain the inventory information, the TRU waste inventory information is continuously improving in quality, accuracy, and usability (better). (authors)

Lott, S.; Crawford, B.; McInroy, W.; Van Soest, G.; McTaggart, J.; Guerin, D. [Los Alamos National Laboratory-Carlsbad Operations, Carlsbad, NM (United States); Patterson, R. [U.S. Department of Energy Carlsbad, Field Office, Carlsbad, NM (United States)

2008-07-01T23:59:59.000Z

300

Form EIA-861, "Annual Electric Power Industry Report." | OpenEI  

Open Energy Info (EERE)

1, "Annual Electric Power Industry Report." 1, "Annual Electric Power Industry Report." Dataset Summary Description This is an electric utility data file that includes such information as peak load, generation, electric purchases, sales, revenues, customer counts and demand-side management programs, green pricing and net metering programs, and distributed generation capacity. The data source is the survey Form EIA-861, "Annual Electric Power Industry Report." Data for all years are final. The file F861yr09.exe is a file of data collected on the Form EIA-861, Annual Electric Power Industry Report, for the reporting period, calendar year 2009. The zipped .exe file contains 11 .xls files and one Word file, and a .pdf of the Form EIA-861. The data file structure detailed here also applies to data files for prior

Note: This page contains sample records for the topic "inventory forms xls" 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

2008 Toxic Chemical Release Inventory 2008 Toxic Chemical Release Inventory Community Right-to-Know Act of 1986, Title III, Section 313  

Science Conference Proceedings (OSTI)

For reporting year 2008, Los Alamos National Laboratory (LANL) submitted a Form R report for lead as required under the Emergency Planning and Community Right-to- Know Act (EPCRA) Section 313. No other EPCRA Section 313 chemicals were used in 2008 above the reportable thresholds. This document was prepared to provide a description of the evaluation of EPCRA Section 313 chemical use and threshold determinations for LANL for calendar year 2008, as well as to provide background information about data included on the Form R reports. Section 313 of EPCRA specifically requires facilities to submit a Toxic Chemical Release Inventory Report (Form R) to the U.S. Environmental Protection Agency (EPA) and state agencies if the owners and operators manufacture, process, or otherwise use any of the listed toxic chemicals above listed threshold quantities. EPA compiles this data in the Toxic Release Inventory database. Form R reports for each chemical over threshold quantities must be submitted on or before July 1 each year and must cover activities that occurred at the facility during the previous year. In 1999, EPA promulgated a final rule on persistent bioaccumulative toxics (PBTs). This rule added several chemicals to the EPCRA Section 313 list of toxic chemicals and established lower reporting thresholds for these and other PBT chemicals that were already reportable. These lower thresholds became applicable in reporting year 2000. In 2001, EPA expanded the PBT rule to include a lower reporting threshold for lead and lead compounds. Facilities that manufacture, process, or otherwise use more than 100 lb of lead or lead compounds must submit a Form R.

Ecology and Air Quality Group

2009-10-01T23:59:59.000Z

302

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory  

Gasoline and Diesel Fuel Update (EIA)

Forecasting Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels MICHAEL YE, ∗ JOHN ZYREN, ∗∗ AND JOANNE SHORE ∗∗ Abstract This paper presents a short-term monthly forecasting model of West Texas Intermedi- ate crude oil spot price using OECD petroleum inventory levels. Theoretically, petroleum inventory levels are a measure of the balance, or imbalance, between petroleum production and demand, and thus provide a good market barometer of crude oil price change. Based on an understanding of petroleum market fundamentals and observed market behavior during the post-Gulf War period, the model was developed with the objectives of being both simple and practical, with required data readily available. As a result, the model is useful to industry and government decision-makers in forecasting price and investigat- ing the impacts of changes on price, should inventories,

303

Federal Greenhouse Gas Inventories and Performance | Department of Energy  

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

Inventories and Performance Inventories and Performance Federal Greenhouse Gas Inventories and Performance October 7, 2013 - 10:07am Addthis The Federal Energy Management Program (FEMP) provides links to progress data tables illustrating Federal agency progress in meeting the greenhouse gas (GHG) reduction targets established under Executive Order (E.O.) 13514, as well as the comprehensive greenhouse gas inventories as reported by the Federal agencies: Federal GHG Requirements Overview E.O. 13514 required Federal agencies to set individual targets for reduction of combined Scope 1 and 2 GHG emissions in FY 2020 compared to FY 2008. When all agency targets are combined, the overall target for the entire Federal Government is a 28% reduction in FY 2020 compared to FY 2008. GHG emissions from certain

304

FAO Global Inventory of Agricultural Mitigation Projects in Developing  

Open Energy Info (EERE)

FAO Global Inventory of Agricultural Mitigation Projects in Developing FAO Global Inventory of Agricultural Mitigation Projects in Developing Countries Jump to: navigation, search Tool Summary Name: FAO Global Inventory of Agricultural Mitigation Projects in Developing Countries Agency/Company /Organization: Food and Agriculture Organization of the United Nations Sector: Land Focus Area: Agriculture Topics: Resource assessment, Background analysis Website: www.fao.org/climatechange/micca/en/ References: FAO Global Inventory of Agricultural Mitigation Projects in Developing Countries[1] "The aim of the project is to help realise the substantial mitigation potential of agriculture, especially that of smallholders in developing countries. If the right changes are implemented in production systems, emissions can be reduced and sinks created in biomass and soils while

305

Greenhouse Gas Regional Inventory Protocol (GRIP) Website | Open Energy  

Open Energy Info (EERE)

Greenhouse Gas Regional Inventory Protocol (GRIP) Website Greenhouse Gas Regional Inventory Protocol (GRIP) Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Greenhouse Gas Regional Inventory Protocol (GRIP) Website Focus Area: Other Crosscutting Topics: Potentials & Scenarios Website: www.getagriponemissions.com/index-cycle.html Equivalent URI: cleanenergysolutions.org/content/greenhouse-gas-regional-inventory-pro Language: English Policies: Deployment Programs DeploymentPrograms: "Lead by Example" is not in the list of possible values (Audit Programs, Demonstration & Implementation, Green Power/Voluntary RE Purchase, High Performance Buildings, Industry Codes & Standards, Project Development, Public Tenders, Procurement, & Lead Examples, Public-Private Partnerships, Retrofits, Ride Share, Bike Share, etc., Technical Assistance, Training & Education, Voluntary Appliance & Equipment Labeling, Voluntary Industry Agreements) for this property.

306

Use of Forest Inventories and Geographic Information Systems To Estimate  

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

Appendix B: Use of Forest Inventories and Geographic Information Systems To Appendix B: Use of Forest Inventories and Geographic Information Systems To Estimate Biomass Density of Tropical Forests: Application to Tropical Africa S. Brown and G. Gaston U.S. Environmental Protection Agency, 200 SW 35th St., Corvalis, OR 97333, USA Abstract One of the most important databases needed for estimating emissions of carbon dioxide resulting from changes in the cover, use, and management of tropical forests is the total quantity of biomass per unit area, referred to as biomass density. Forest inventories have been shown to be valuable sources of data for estimating biomass density, but inventories for the tropics are few in number and their quality is poor. This lack of reliable data has been overcome by use of a promising approach that produces

307

Inventory Tracking and Management: Fact Sheet | National Nuclear Security  

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

Inventory Tracking and Management: Fact Sheet | National Nuclear Security Inventory Tracking and Management: Fact Sheet | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > Media Room > Fact Sheets > Inventory Tracking and Management: Fact Sheet Fact Sheet Inventory Tracking and Management: Fact Sheet Mar 23, 2012 Under International Atomic Energy Agency (IAEA) safeguards agreements,

308

Mirage: Mitigating Illicit Inventorying in a RFID Enabled Retail Environment  

E-Print Network (OSTI)

Given its low dollar and maintenance cost, RFID is poised to become the enabling technology for inventory control and supply chain management. However, as an outcome of its low cost, RFID based inventory control is susceptible to pernicious security and privacy threats. A deleterious attack on such a system is corporate espionage, where attackers through illicit inventorying infer sales and restocking trends for products. In this paper, we first present plausible aftermaths of corporate espionage using real data from online sources. Second, to mitigate corporate espionage in a retail store environment, we present a simple lowcost system called Mirage. Mirage uses additional programmable low cost passive RFID tags called honeytokens to inject noise in retail store inven-torying. Using a simple history based algorithm that controls activation and de-activation of honeytokens, Mirage randomizes sales and restocking trends. We evaluate Mirage in a real warehouse environment using a commercial off-the-shelf Motoro...

White, Jonathan

2010-01-01T23:59:59.000Z

309

Cushing crude oil inventories rising in 2012 - Today in Energy ...  

U.S. Energy Information Administration (EIA)

Crude oil inventories at the Cushing, Oklahoma storage hub, the delivery point for the NYMEX light-sweet crude oil futures contract, are up by 12.0 million barrels ...

310

Toxic Chemical Release Inventory reporting ``Qs & As``. Environmental Guidance  

SciTech Connect

This document offers guidance on toxic chemical release inventory reporting, pursuant to Section 313 of the Emergency Planning and Community Right-to-Know Act (EPCRA) at DOE sites.

Not Available

1994-03-01T23:59:59.000Z

311

Problems and methods for multiproduct inventory control in production conditions  

Science Conference Proceedings (OSTI)

Problems and methods for control of multiproduct inventory of finished product in the conditions of fixed and random demand and problems of in-process storage of components, billets, and accessories for assembling finished products are considered. Special ...

E. N. Khobotov

2011-12-01T23:59:59.000Z

312

Microsoft Word - Fuel Cycle Potential Waste Inventory for Disposition...  

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

Fuel Cycle Potential Waste Inventory for Disposition Prepared for U.S. Department of Energy Used Nuclear Fuel Joe T. Carter, SRNL Alan J. Luptak, INL Jason Gastelum, PNNL Christine...

313

Strategic inventory management in an aerospace supply chain  

E-Print Network (OSTI)

This paper introduces multiple methods to set and optimize inventory levels. These methods are then classified based on the complexity involved to implement them. As an organization develops a deeper understanding of ...

Mauro, Joseph (Joseph Peter)

2008-01-01T23:59:59.000Z

314

Strategic inventory management of externally sourced medical devices  

E-Print Network (OSTI)

The purpose of this research was to determine inventory strategies for externally sourced medical devices. In the medical device industry, the desire for high levels of customer service often results in less than optimal ...

Hillstrom, Nichole L. (Nichole Leigh)

2013-01-01T23:59:59.000Z

315

A Single-Product Inventory Model for Multiple Demand Classes  

E-Print Network (OSTI)

We consider a single-product inventory system that serves multiple demand classes, which differ in their shortage costs or service level requirements. We assume a critical-level control policy, and show the equivalence ...

Arslan, Hasan

2005-05-27T23:59:59.000Z

316

Appendix B - Chemical and Radiological Inventories for the CEMRC...  

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

the CEMRC, New Mexico State University (Webb 2002). Table B-1. Onsite CEMRC Chemical Inventory Chemical Name Amount Units SARA Limit Acetic Acid, Glacial 5,400 mL NA a Acetone 38...

317

Joint pricing and inventory decision for competitive products  

E-Print Network (OSTI)

We consider the joint pricing and inventory decision problem for a single retailer who orders, stocks and sells multiple products. The products are competitive in nature, e.g., these maybe similar products from multiple ...

Ye, Kelly (Kelly Yunqing)

2008-01-01T23:59:59.000Z

318

Inventory planning for low demand items in online retailing  

E-Print Network (OSTI)

A large online retailer strategically stocks inventory for SKUs with low demand. The motivations are to provide a wide range of selections and faster customer fulfillment service. We assume the online retailer has the ...

Chhaochhria, Pallav

2007-01-01T23:59:59.000Z

319

Inventory management in a pharmaceutical company : minimizing discard practices  

E-Print Network (OSTI)

Pharmaceutical company SPM has over 400 cases of inventory discards over the past five years which constitute a significant operating cost. Due to the complexity and randomness of each case, the root causes that result in ...

Wang, Xiaojun, M. Eng. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

320

Optimizing inventory levels using financial, lifecycle and forecast variance data  

E-Print Network (OSTI)

Significant inventory write-offs have recently plagued ATI Technologies, a world leader in graphics and media processors. ATI's product-centric culture has long deterred attention from supply chain efficiency. Given that ...

Hwang, Irene S

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "inventory forms xls" 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

U.S. Life Cycle Inventory Database Roadmap (Brochure)  

Science Conference Proceedings (OSTI)

Life cycle inventory data are the primary inputs for conducting life cycle assessment studies. Studies based on high-quality data that are consistent, accurate, and relevant allow for robust, defensible, and meaningful results.

Deru, M.

2009-08-01T23:59:59.000Z

322

Form Approv  

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

'JOE I' ':0 'JOE I' ':0 ) e " Flee/romc Form Approv ed by CGIR· 01120195 (8 ./1" United States Government Department of Energy Bonneville Power Administra ion memorandum DATE : uC l J !:' ZD y REPLY TO ATTN OF : KEP-4 SUBJECT: Environmental Clearance Memorandum TO ; Rob Ochs Project Manager - TELM-TPP-3 Proposed Action: Lane-Wendson No.1 Structure 10/5 Access Road Improvement and Pole Replacement Project Budget Information: Work Order # 224549 PP&A Project No.: 1117 Proposed by: Bonneville Power Administration (BPA) Categorical Exclusion Applied (from Sub part 0,10 C.F.R. Part) 021): B 1.3, Routine maintenance activities ... for structures, rights-of-way, infrastructures such as roads, equipment. .. routine maintenance activities, corrective ... .are required to maintain

323

U.S. Life Cycle Inventory Database Roadmap (Brochure)  

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

LIFE CYCLE INVENTORY DATABASE LIFE CYCLE INVENTORY DATABASE ROADMAP rsed e Goals of the U.S. LCI Database Project * Maintain data quality and transparency. * Cover commonly used materials, products, and processes in the United States with up-to-date, critically reviewed LCI data. * Support the expanded use of LCA as an environmental decision-making tool. * Maintain compatibility with international LCI databases. * Provide exceptional data accessibility.

324

VSC's.xls  

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

e e Description of Organization VSC name VSC e-mail Phone # DOE - Bonneville Power Administration Carolyn Stokke ccstokke@bpa.gov 360-418-2330 DOE - Southeastern Power Administration Carol Rice carolr@sepa.doe.gov 706-213-3822 DOE - Southwestern Power Administration Cheryl Crosswell & Shirley Shumate cheryl.crosswell@swpa.gov; shirley.shumate@swpa.gov 918/595-6616; 918/595-6686 DOE - Western Area Power Administration Frances Hamada hamada@wapa.gov 801/524-6379 DOE - Office of the CFO Teresa Collins Teresa.Collins@hq.doe.gov 202/586-4459 DOE - Congressional and Intergovernmental Affairs Liz Renner elizabeth.renner@hq.doe.gov 202/586-5450 DOE - Office of Economic Impact and Diversity Dan Broehl daniel.broehl@hq.doe.gov 202-586-0696 DOE - Office of Energy Efficiency and Renewable Energy Nicole McGowan

325

b12.xls  

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

64,783 64,783 9,874 1,255 1,654 1,905 1,258 5,096 4,317 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 409 409 544 N 165 99 638 5,001 to 10,000 ................................. 6,585 399 356 442 N 280 160 725 10,001 to 25,000 ............................... 11,535 931 Q 345 Q 312 631 1,284 25,001 to 50,000 ............................... 8,668 1,756 Q Q Q Q 803 578 50,001 to 100,000 ............................. 9,057 2,690 Q Q Q 206 841 Q 100,001 to 200,000 ........................... 9,064 2,167 Q N Q Q 930 524 200,001 to 500,000 ........................... 7,176 1,420 N Q 467 Q 1,185 Q Over 500,000 .................................... 5,908 Q N N 973 N Q Q Year Constructed Before 1920 ...................................... 3,769 410 Q 281 Q Q Q 220 1920 to 1945 .....................................

326

eia176.xls  

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

1 1 7 6 EIA-176 Ben Franklin Station Address 2: City: State: Zip: - Distribution company - investor owned Storage operator Distribution company - municipally owned Synthetic natural gas (SNG) plant operator Distribution company - privately owned Producer Distribution company - cooperative Distribution company - other ownership Interstate pipeline (FERC regulated) Intrastate pipeline B. Vehicles Powered by Alternative Fuels Does your company's vehicle fleet include vehicles powered by alternative fuels? No D. Sales/Acquisitions No or sale this year? If Yes, please describe the sale or acquisition in the Comments box below. Page 1 C. Customer Choice Program Participating Eligible If there is a Customer Choice program available in your service territory, enter the number

327

Table 2.xls  

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

Project-level Reductions and Sequestration Reported, Data Year 2005 Project-level Reductions and Sequestration Reported, Data Year 2005 (Metric Tons Carbon Dioxide Equivalent) 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Indirect 1 85 621 699 3,129 3,411 4,120 3,850 5,988 4,211 6,193 4,890 4,102 6,243 Sequestration 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 Direct 16 Indirect 16,191 14,656 17,745 17,748 17,859 19,897 18,925 21,070 85,711 118,115 156,534 236,368 215,033 214,678 220,420 Sequestration 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 Sequestration 550,000 70,000 290,000 370,000 480,000 440,000 440,000 590,000 530,000 370,000 410,000 410,000 410,000 410,000 410,000 Direct 1,091 38,702 44,227

328

schedule_2006.xls  

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

6 Long Range Operations Schedule 6 Long Range Operations Schedule (October 2005 - September 2006) 1 1 1 1 → 1 1 1 4 → 1 1 1 1 1 1 2 2 4 → 2 1 → 2 2 2 4 2 2 2 2 2 1 → 2 3 3 4 3 1 → 3 3 3 4 3 3 3 3 3 1 → 3 4 4 4 4 1 → 4 4 4 4 4 4 4 4 4 1 → 4 5 5 4 5 1 → 5 5 5 4 5 5 5 5 5 1 → 5 6 6 4 6 1 6 6 6 4 6 6 6 6 6 1 → 6 7 7 4 7 1 → 7 7 7 4 7 7 7 7 7 1 → 7 8 8 4 8 1 → 8 8 8 4 → 8 8 8 8 8 1 8 9 9 9 1 → 9 9 9 4 9 9 9 9 9 1 → 9 10 10 10 1 → 10 10 10 4 10 10 10 10 10 1 → 10 11 11 11 1 → 11 11 11 4 11 11 11 11 11 1 → 11 12 12 12 1 → 12 12 12 4 12 1 → 12 12 12 4 → 12 1 → 12 13 13 13 1 13 13 13 4 13 1 → 13 13 13 4 13 1 → 13 14 14 14 5 → 14 14 14 14 1 → 14 14 14 4 14 1 → 14 15 15 15 5 15 15 15 15 1 → 15 15 15 4 15 1 15 16 16 16 5 16 16 16 16 1

329

table14.xls  

Gasoline and Diesel Fuel Update (EIA)

Table 14. Natural Gas Wellhead Prices, Actual vs. Reference Case Projections Table 14. Natural Gas Wellhead Prices, Actual vs. Reference Case Projections (current dollars per thousand cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 AEO 1982 4.32 5.47 6.67 7.51 8.04 8.57 AEO 1983 2.93 3.11 3.46 3.93 4.56 5.26 12.74 AEO 1984 2.77 2.90 3.21 3.63 4.13 4.79 9.33 AEO 1985 2.60 2.61 2.66 2.71 2.94 3.35 3.85 4.46 5.10 5.83 6.67 AEO 1986 1.73 1.96 2.29 2.54 2.81 3.15 3.73 4.34 5.06 5.90 6.79 7.70 8.62 9.68 10.80 AEO 1987 1.83 1.95 2.11 2.28 2.49 2.72 3.08 3.51 4.07 7.54 AEO 1989* 1.62 1.70 1.91 2.13 2.58 3.04 3.48 3.93 4.76 5.23 5.80 6.43 6.98 AEO 1990 1.78 1.88 2.93 5.36 AEO 1991 1.77 1.90 2.11 2.30 2.42 2.51 2.60 2.74 2.91 3.29 3.75 4.31 5.07 5.77 6.45 AEO 1992 1.69 1.85 2.03 2.15 2.35 2.51 2.74 3.01 3.40 3.81 4.24 4.74 5.25 5.78 AEO 1993 1.85 1.94 2.09 2.30 2.44 2.60 2.85 3.12 3.47 3.84 4.31 4.81 5.28

330

crib.xls  

Buildings Energy Data Book (EERE)

August 2003 August 2003 D I S C L A I M E R This document was designed for the internal use of the United States Department of Energy. This document will be occasionally updated and, therefore, this copy may not reflect the most current version. This document was prepared as 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 warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or

331

recommendations.xls  

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

6, 2003 Electric System Working Group Technical Conference, Philadelphia PA 6, 2003 Electric System Working Group Technical Conference, Philadelphia PA Rec Type Recommendations/Comments Name Organization Communication The reliability coordinator needs an understanding from others, from a broad perspective, what's going on. Sometimes you may not have all the information, and this is what happens most times in blackout situations. Michael Calimano New York ISO System Operations Reliability coordination needs to have authority in real time to order actions to be taken by control areas or operators under emergency conditions. Authorities and procedures have to be spelled out well beforehand. Michael Calimano New York ISO Emergency Response We have to look at how we can do this better, how we can let other people know better and faster. In our shop, when there is an emergency going, everybody's involved in

332

c15.xls  

Gasoline and Diesel Fuel Update (EIA)

7 7 216 375 152 12,809 16,701 22,766 11,030 11.5 12.9 16.5 13.8 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 13 30 50 19 997 1,729 2,324 1,295 13.4 17.5 21.7 14.6 5,001 to 10,000 ................................. 10 15 33 19 1,083 1,447 2,454 1,214 9.0 10.7 13.4 15.3 10,001 to 25,000 ............................... 19 29 49 22 1,944 3,098 4,266 2,063 9.6 9.3 11.6 10.9 25,001 to 50,000 ............................... 12 31 41 19 1,292 2,483 3,012 1,599 9.0 12.6 13.7 11.7 50,001 to 100,000 ............................. 22 29 50 17 2,040 2,260 3,435 1,296 11.0 12.9 14.6 13.1 100,001 to 200,000 ........................... 25 33 66 18 2,117 2,285 3,439 1,177 11.6 14.6 19.1 15.0 200,001 to 500,000 ........................... 24 28 38 16 1,781 2,196 1,909 1,166 13.3 12.7 20.1 13.7 Over 500,000 ....................................

333

oil1987.xls  

Gasoline and Diesel Fuel Update (EIA)

7.4 7.4 14.0 33.3 87 37 70.3 27 513 0.22 414 156 Census Region and Division Northeast 9.1 6.3 17.8 140 49 96.0 37 808 0.28 556 212 New England 2.6 2.0 5.8 130 46 102.1 39 770 0.27 604 233 Middle Atlantic 6.5 4.2 12.1 144 51 93.6 36 826 0.29 537 204 Midwest 3.1 3.0 7.1 53 23 51.8 19 318 0.13 309 113 East North Central 2.5 2.4 5.9 56 23 54.2 19 334 0.14 326 116 West North Central 0.6 0.6 1.2 43 21 41.6 17 250 0.12 239 96 South 4.6 4.2 7.0 41 24 37.0 14 257 0.15 233 87 South Atlantic 3.6 3.2 5.3 46 27 41.1 15 285 0.17 256 95 East South Central 1.0 0.9 1.5 27 16 25.8 10 175 0.11 168 63 West South Central Q Q Q 10 4 6.9 4 73 0.03 49 26 West 0.6 0.6 1.4 32 13 31.1 12 195 0.08 190 76 Mountain 0.2 0.2 0.3 26 12 26.1 11 144 0.07 144 62 Pacific 0.4 0.4 1.1 34 14 32.9 13 213 0.08 207 81 Metropolitan Statistical Area Urban 12.6 9.4 24.6 102 39 75.9 29 596 0.23 444 167 Central City 5.0 2.8 7.2 119 47 66.9 29 664 0.26 372 160 Suburban 7.6 6.6 17.4 94 36

334

c8.xls  

Gasoline and Diesel Fuel Update (EIA)

436 436 1,064 309 5,485 12,258 3,393 79.5 86.8 91.1 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 60 116 36 922 1,207 538 64.9 96.5 67.8 5,001 to 10,000 ................................. 44 103 Q 722 1,387 393 60.5 74.0 Q 10,001 to 25,000 ............................... 65 126 Q 1,164 2,240 810 55.9 56.4 Q 25,001 to 50,000 ............................... 107 112 Q 949 1,672 498 112.5 67.3 Q 50,001 to 100,000 ............................. 64 123 59 642 1,470 650 99.0 83.4 91.3 100,001 to 200,000 ........................... 49 237 Q 614 2,087 Q 79.8 113.5 Q 200,001 to 500,000 ........................... Q 110 Q 395 1,072 Q Q 102.2 Q Over 500,000 .................................... Q 137 Q Q 1,123 Q Q 122.1 Q Principal Building Activity Education .......................................... 45 198 Q 552 2,445

335

c30.xls  

Gasoline and Diesel Fuel Update (EIA)

418 418 659 327 347 119 7,645 12,850 8,113 10,509 4,350 54.7 51.3 40.3 33.0 27.3 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 56 81 35 55 16 660 979 421 789 234 85.0 82.9 82.5 69.8 66.6 5,001 to 10,000 .............................. 47 53 27 59 16 644 944 526 1,212 367 72.5 56.5 51.2 49.0 43.9 10,001 to 25,000 ............................ 88 103 50 47 13 1,679 2,134 958 1,781 501 52.4 48.0 51.7 26.4 25.9 25,001 to 50,000 ............................ 59 87 52 34 18 1,251 1,839 1,031 1,441 463 47.2 47.2 50.4 23.7 38.6 50,001 to 100,000 .......................... 55 88 42 41 11 1,043 2,129 1,300 1,569 642 52.4 41.5 32.3 26.0 16.5 100,001 to 200,000 ......................... 35 114 31 Q 9 970 2,090 1,320 1,550 714 36.2 54.5 23.4 34.0 12.4 200,001 to 500,000 ......................... 54 61 38 31 15 1,001 1,471 1,380 1,161 666 53.6 41.7 27.3

336

wf01.xls  

Gasoline and Diesel Fuel Update (EIA)

-00 -00 00-01 01-02 02-03 03-04 Average 99-04 04-05 Warm Base Cold Warm Base Cold Natural Gas Northeast Consumption (mcf**) 81.7 87.3 67.7 87.4 79.9 80.8 79.8 71.9 78.8 85.7 -9.9 -1.3 7.4 Price ($/mcf) 8.39 10.01 9.41 9.74 11.47 9.81 12.90 16.82 17.18 17.73 30.4 33.2 37.4 Expenditures ($) 685 874 637 851 917 793 1,029 1,208 1,353 1,518 17.5 31.6 47.6 Natural Gas (Midwest) Consumption (mcf) 88.3 99.1 78.2 92.3 85.7 88.7 85.3 81.1 88.9 96.7 -4.9 4.2 13.3 Price ($/mcf) 5.74 8.77 6.26 7.61 8.76 7.48 10.01 14.71 15.48 16.36 46.9 54.6 63.4 Expenditures ($) 507 869 490 702 751 664 855 1,194 1,377 1,583 39.7 61.1 85.2 South Consumption (mcf) 55.6 67.1 52.7 60.3 55.4 58.2 53.8 52.1 56.6 61.2 -3.2 5.3 13.7 Price ($/mcf) 7.65 10.22 8.17 9.02 10.67 9.19 12.35 17.53 18.33 19.24 41.9 48.4 55.8 Expenditures ($) 425 685 431 543 591 535 664 913 1,038

337

LNG 2005.xls  

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

5 5 Jan Feb March April May June July Aug Sept Oct Nov Dec TOTAL Algeria 6.0 11.3 2.8 9.0 11.4 12.0 6.0 3.2 6.0 11.8 9.0 8.6 97.2 Malaysia 3.0 0.0 2.6 0.0 0.0 0.0 0.0 0.0 0.0 3.1 0.0 0.0 8.7 Nigeria 2.7 0.0 0.0 0.0 0.0 0.0 0.0 2.6 0.0 2.9 0.0 0.0 8.1 Oman 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.5 Trinidad 43.7 39.2 40.4 35.7 41.2 41.5 41.2 26.8 34.8 33.2 30.1 31.4 439.2 Egypt 0.0 0.0 0.0 2.9 0.0 2.9 5.9 11.1 11.0 8.5 18.9 11.3 72.5 Qatar 0.0 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 3.0 TOTAL 57.8 53.5 45.9 47.6 52.6 56.4 53.1 43.6 51.8 59.6 58.0 51.3 631.3 LNG Imports by Receiving Terminal (Bcf) 2005 Jan Feb March April May June July Aug Sept Oct Nov Dec TOTAL Cove Point, MD 18.3 20.6 18.7 17.1 23.5 20.7 20.4 8.3 17.3 17.6 18.8 20.5 221.7 Elba Island, GA 7.9 10.6 7.9 7.8 7.9 13.3 13.1 11.1 15.6 13.6 12.5 10.7 132.1 Everett, MA 18.0 13.8 16.7 13.6 12.8 13.4 13.6 13.3 10.4 16.5 12.3 14.3 168.5 Lake Charles, LA 13.7

338

longterm.xls  

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

Operations Schedule Operations Schedule Run 2008-3 Run 2009-1 Run 2009-2 Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep 1 1 4 4 4 1 1 1 1 1 1 1 1 1 1 1 4 4 4 1 1 2 2 4 4 4 2 2 2 2 1 1 1 2 2 2 2 4 2 2 3 3 4 3 3 3 3 1 3 3 3 3 3 3 4 4 4 4 4 4 1 1 4 4 4 4 4 4 5 5 1 1 5 5 5 5 1 1 1 5 5 5 5 5 5 6 6 1 1 1 6 6 6 6 1 1 1 6 6 6 6 1 1 6 6 7 7 1 1 1 7 7 7 7 1 1 1 7 7 7 7 1 1 1 7 7 8 8 1 1 1 8 8 8 8 1 1 1 8 8 8 8 1 1 1 8 8 9 9 1 1 1 9 9 9 9 1 1 1 9 9 9 9 1 1 1 9 9 10 10 1 1 1 10 4 4 10 10 10 1 10 10 10 10 1 1 1 10 10 11 11 1 11 4 4 4 11 11 11 4 4 11 11 11 11 1 1 1 11 11 12 12 1 1 12 4 4 4 12 12 12 4 4 4 12 12 12 12 1 1 1 12 4 4 12 13 13 1 1 1 13 4 4 4 13 13 13 4 4 4 13 13 13 13 1 1 1 13

339

b11.xls  

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

Table B11. Selected Principal Building Activity: Part 1, Number of Buildings for Non- Table B11. Selected Principal Building Activity: Part 1, Number of Buildings for Non- Mall Buildings, 2003 Principal Building Activity Number of Buildings (thousand) Health Care All Buildings* Education Food Sales Food Service Lodging Retail (Other Than Mall) Energy Information Administration 2003 Commercial Buildings Energy Consumption Survey: Building Characteristics Tables Revised June 2006 81 Released: June 2006 Next CBECS will be conducted in 2007 Inpatient Outpatient All Buildings* .................................. 4,645 386 226 297 8 121 142 443 Table B11. Selected Principal Building Activity: Part 1, Number of Buildings for Non- Mall Buildings, 2003 Principal Building Activity Number of Buildings (thousand) Health Care All Buildings* Education Food Sales Food Service Lodging

340

b20.xls  

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

64,783 64,783 45,144 10,960 1,958 1,951 2,609 2,161 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 5,613 916 Q Q N 223 5,001 to 10,000 ................................. 6,585 5,304 1,031 Q N Q Q 10,001 to 25,000 ............................... 11,535 9,098 1,732 383 Q Q Q 25,001 to 50,000 ............................... 8,668 5,807 1,837 355 Q Q Q 50,001 to 100,000 ............................. 9,057 6,218 1,739 273 337 Q Q 100,001 to 200,000 ........................... 9,064 6,102 1,545 539 Q Q Q 200,001 to 500,000 ........................... 7,176 4,246 1,361 Q 389 531 Q Over 500,000 .................................... 5,908 2,756 800 Q Q 1,522 Q Principal Building Activity Education .......................................... 9,874 8,714 946 Q N N N Food Sales .......................................

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341

b38.xls  

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

Revised June 2006 Revised June 2006 194 Released: Dec 2006 Next CBECS will be conducted in 2007 Heat Pumps Furnaces Individual Space Heaters District Heat Boilers Packaged Heating Units Other All Buildings* .................................. 4,645 3,982 476 1,864 819 65 579 953 205 Table B38. Heating Equipment, Number of Buildings for Non-Mall Buildings, 2003 Heating Equipment (more than one may apply) Number of Buildings (thousand) All Buildings* Heated Buildings Number of Floors One ................................................... 3,136 2,566 334 1,193 550 14 190 682 140 Two ................................................... 1,031 960 97 487 174 19 194 207 50 Three ................................................ 339 319 31 155 68 10 119 41 Q Four to Nine ...................................... 128 125 11 28 25 19 69 20 4 Ten or More ......................................

342

b37.xls  

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

Floor- Floor- space a Heated Floor- space b Total Floor- space a Cooled Floor- space b Total Floor- space a Lit Floor- space b All Buildings* .................................. 64,783 60,028 53,473 56,940 41,788 62,060 51,342 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 5,668 4,988 5,007 4,017 6,038 4,826 5,001 to 10,000 ................................. 6,585 5,786 5,010 5,408 3,978 6,090 4,974 10,001 to 25,000 ............................... 11,535 10,387 8,865 9,922 6,927 11,229 8,618 25,001 to 50,000 ............................... 8,668 8,060 7,260 7,776 5,663 8,297 6,544 50,001 to 100,000 ............................. 9,057 8,718 7,815 8,331 5,665 8,912 7,548 100,001 to 200,000 ........................... 9,064 8,710 8,012 8,339 6,462 8,732 7,470 200,001 to 500,000 ...........................

343

b2.xls  

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

Total Total Workers in All Buildings (thousand) Median Square Feet per Building (thousand) Median Square Feet per Worker Median Hours per Week Median Age of Buildings (years) All Buildings* .................................. 4,645 64,783 72,807 4.6 1,000 50 30.5 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 6,789 9,936 2.4 750 48 30.5 5,001 to 10,000 ................................. 889 6,585 7,512 7.2 1,300 50 30.5 10,001 to 25,000 ............................... 738 11,535 10,787 15.0 1,611 55 28.5 25,001 to 50,000 ............................... 241 8,668 8,881 35.0 1,364 60 30.5 50,001 to 100,000 ............................. 129 9,057 8,432 67.0 1,500 60 25.5 100,001 to 200,000 ........................... 65 9,064 11,632 130.0 1,457 75 24.5 200,001 to 500,000 ...........................

344

b1.xls  

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

1 1 Number of Buildings (thousand) Total Floorspace (million square feet) Total Workers in All Buildings (thousand) Mean Square Feet per Building (thousand) Mean Square Feet per Worker Mean Hours per Week All Buildings*................................... 4,645 64,783 72,807 13.9 890 61 Table B1. Summary Table: Total and Means of Floorspace, Number of Workers, and Hours of Operation for Non-Mall Buildings, 2003 Climate Zone: 30-Year Average Under 2,000 CDD and -- More than 7,000 HDD ..................... 855 10,622 10,305 12.4 1,031 60 5,500-7,000 HDD ............................ 1,173 17,335 17,340 14.8 1,000 63 4,000-5,499 HDD ............................ 673 11,504 14,007 17.1 821 66 Fewer than 4,000 HDD ................... 1,276 15,739 17,178 12.3 916 57 2,000 CDD or More and -- Fewer than 4,000 HDD ...................

345

a5.xls  

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

4,859 4,859 2,586 948 810 261 147 74 26 8 Principal Building Activity Education .......................................... 386 162 56 60 48 39 16 5 Q Food Sales ....................................... 226 164 44 Q Q Q Q N N Food Service ..................................... 297 202 65 23 Q Q N Q N Health Care ....................................... 129 56 38 19 5 5 3 2 1 Inpatient .......................................... 8 N N Q Q Q Q 2 1 Outpatient ....................................... 121 56 38 19 Q 3 Q Q N Lodging ............................................. 142 38 21 38 23 11 7 4 Q Mercantile ......................................... 657 275 156 155 34 21 12 2 2 Retail (Other Than Mall) .................. 443 241 97 83 14 Q 4 Q Q Enclosed and Strip Malls ................ 213 Q 59 72 20 18 8 Q 2 Office ................................................

346

b6.xls  

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

Released: June 2006 Next CBECS will be conducted in 2007 1,001 to 5,000 Square Feet 5,001 to 10,000 Square Feet 10,000 to 25,000 Square Feet 25,001 to 50,000 Square Feet 50,001 to 100,000 Square Feet 100,001 to 200,000 Square Feet 200,001 to 500,000 Square Feet Over 500,000 Square Feet All Buildings* .................................. 4,645 2,552 889 738 241 129 65 25 7 Table B6. Building Size, Number of Buildings for Non-Mall Buildings, 2003 Number of Buildings (thousand) All Buildings* Building Size Elevators and Escalators (more than one may apply) Any Elevators .................................... 309 Q 29 61 81 57 41 19 5 Number of Elevators One ................................................. 208 Q 29 57 62 29 11 4 Q Two to Five ..................................... 88 N N Q 19 28 29 9 Q Six or More .....................................

347

suptab_1.xls  

Gasoline and Diesel Fuel Update (EIA)

New England 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Energy Consumption Residential Distillate Fuel 0.349 0.344 0.362 0.371 0.371 0.372 0.370 0.369 0.366 0.364 0.362 0.360 0.357 Kerosene 0.031 0.017 0.023 0.031 0.031 0.031 0.030 0.030 0.030 0.030 0.029 0.029 0.029 Liquefied Petroleum Gas 0.032 0.032 0.031 0.031 0.032 0.032 0.033 0.033 0.033 0.033 0.034 0.034 0.034 Petroleum Subtotal 0.412 0.393 0.417 0.434 0.434 0.435 0.433 0.432 0.429 0.427 0.425 0.423 0.419 Natural Gas 0.181 0.182 0.199 0.197 0.197 0.200 0.202 0.204 0.205 0.207 0.208 0.209 0.209 Coal 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Renewable Energy 1/ 0.026 0.024 0.028 0.026 0.026 0.025 0.025 0.025 0.025 0.025 0.025 0.025 0.025 Electricity 0.147 0.153 0.157 0.158 0.161 0.164 0.167 0.169 0.170 0.172 0.173 0.175 0.175

348

sup_rci.xls  

Gasoline and Diesel Fuel Update (EIA)

Residential Residential Sector Equipment Stock and Efficiency (1 of 2) 2000- 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2020 Equipment Stock (million units) Main Space Heaters Electric Heat Pumps 10.23 10.58 10.86 11.14 11.44 11.72 11.93 12.14 12.36 12.57 12.77 12.98 13.18 13.37 13.56 13.76 13.96 14.17 14.38 14.59 14.78 1.9% Electric Other 20.12 20.18 20.20 20.24 20.29 20.33 20.39 20.46 20.53 20.60 20.67 20.73 20.79 20.84 20.89 20.95 21.00 21.07 21.14 21.22 21.29 0.3% Natural Gas Heat Pumps 0.02 0.02 0.03 0.03 0.04 0.04 0.05 0.05 0.06 0.06 0.07 0.07 0.07 0.08 0.08 0.09 0.09 0.10 0.10 0.11 0.11 10.2% Natural Gas Other 55.78 56.39 57.14 57.85 58.57 59.32 60.12 60.93 61.74 62.57 63.42 64.28 65.11 65.91 66.71 67.52 68.34 69.17 70.02 70.87 71.74 1.3% Distillate 9.41 9.38 9.35 9.33 9.31 9.29 9.27 9.25 9.23 9.21 9.19 9.17 9.15 9.12 9.10 9.07 9.04 9.02 8.99

349

oil1997.xls  

Gasoline and Diesel Fuel Update (EIA)

Total Total per Floor- per Square per per per Total Total space (1) Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 13.2 11.0 23.2 97 46 81.1 31 694 0.33 578 224 Census Region and Division Northeast 8.2 6.2 14.5 136 57 101.3 40 950 0.40 710 282 New England 3.1 2.7 5.8 126 60 111.5 45 902 0.43 797 321 Middle Atlantic 5.2 3.4 8.8 143 56 95.1 38 988 0.39 657 260 Midwest 1.5 1.4 3.0 75 36 72.6 26 522 0.25 504 184 East North Central 1.0 1.0 1.9 71 35 67.3 23 509 0.25 482 165 West North Central 0.5 0.5 1.1 83 38 83.5 35 548 0.25 548 232 South 2.9 2.9 4.6 34 21 33.7 13 279 0.17 275 105 South Atlantic

350

c14.xls  

Gasoline and Diesel Fuel Update (EIA)

Buildings* .................................. Buildings* .................................. 202 14.1 12.2 3.6 8.2 17.1 15.7 1.09 0.078 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 47 17.8 11.4 3.8 8.9 20.3 4.3 1.63 0.092 5,001 to 10,000 ................................. 92 12.4 10.3 3.8 7.4 14.5 8.7 1.18 0.095 10,001 to 25,000 ............................... 164 10.5 11.1 2.9 6.3 13.4 13.8 0.88 0.084 25,001 to 50,000 ............................... 439 12.2 11.6 3.8 8.8 16.2 33.6 0.94 0.077 50,001 to 100,000 ............................. 927 13.1 14.1 4.5 9.9 17.0 68.0 0.97 0.073 100,001 to 200,000 ........................... 2,181 15.7 12.2 5.3 13.0 23.4 146.4 1.05 0.067 200,001 to 500,000 ........................... 4,347 15.0 15.4 5.8 12.1 20.7 301.0 1.04 0.069 Over 500,000 .................................... 17,034 19.0 12.8 10.0

351

august2010.xls  

Gasoline and Diesel Fuel Update (EIA)

0 0 Section 1. Commentary Electric Power Data In June 2010, the contiguous United States as a whole experienced temperatures that were significantly above average. Accordingly, the total population-weighted cooling degree days for the United States were 31.0 percent above the June normal. Retail sales of electricity increased 8.0 percent compared to June 2009. Over the same period, the average U.S. retail price of electricity remained relatively unchanged. For the 12-month period ending June 2010, the U.S. average retail price of electricity decreased by 1.9 percent over the previous 12-month period ending June 2009. Total electric power generation in the United States increased 7.9 percent compared to June 2009. Over the same period, coal generation increased 12.2 percent, and natural gas generation increased 8.7 percent. Petroleum liquids

352

oil1982.xls  

Gasoline and Diesel Fuel Update (EIA)

Household Member Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 15.5 12.2 30.0 98 40 77.1 27 829 0.34 650 231 Census Region and Division Northeast 8.8 6.0 17.4 138 48 94.5 34 1,163 0.40 796 283 New England 2.5 1.9 5.9 131 43 101.9 36 1,106 0.36 863 309 Middle Atlantic 6.3 4.1 11.5 142 50 91.5 32 1,191 0.42 769 272 Midwest 2.4 2.1 4.8 74 33 66.2 24 609 0.27 548 202 East North Central 1.8 1.7 3.8 80 35 71.6 25 666 0.29 595 212 West North Central 0.5 0.5 1.0 51 24 46.6 20 410 0.20 377 160 South 3.7 3.4 6.7 52 27 48.1 17 446 0.23 409 144 South Atlantic 3.2 2.9 5.8 58 29 52.6 19 492 0.25 447 163 East South Central 0.4 0.4 0.8 22 10 21.2 6 183 0.08 179 52 West South Central Q Q Q Q Q Q Q Q Q Q Q West 0.6 0.6 1.2 48 25 46.8 16 412 0.22 402 138 Mountain 0.2 0.2 0.3 48 24

353

november2007.xls  

Gasoline and Diesel Fuel Update (EIA)

7 7 Section 1. Commentary Electric Power Data September 2007 was the eighth warmest September on record for the contiguous United States as reported by the National Oceanic and Atmospheric Administration. Accordingly, cooling degree days for the month were 24.4 percent above the average for the month of September, and 44.2 percent higher than September 2006. Retail sales of electricity and electricity generation were both higher when compared to September 2006. Electricity generation increased by 6.9 percent, while retail sales of electricity for September 2007 increased by 6.2 percent when compared to September 2006. The average U.S. retail price of electricity for September 2007 was 1.3 percent higher than September 2006 and 2.5 percent lower than the previous month, reflecting the reduced demand for electricity following the

354

may2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Section 1. Commentary Electric Power Data Monthly Flash Estimates of Data for: March 2006 The weather through March 2006 continued to be warmer than in 2005. Year-to-date heating degree days were down almost 9 percent through March. For March alone heating degree days were down 7.8 percent from last year and were 2.2 percent lower than normal. Because of the warmer weather, year-to-date net generation through March was 1.3 percent less than in 2005, and

355

oil2001.xls  

Gasoline and Diesel Fuel Update (EIA)

Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 11.2 9.4 26.0 80 29 67.1 26 723 0.26 607 236 Census Region and Division Northeast 7.1 5.4 16.8 111 36 84.7 33 992 0.32 757 297 New England 2.9 2.5 8.0 110 35 96.3 39 1,001 0.32 875 350 Middle Atlantic 4.2 2.8 8.8 112 36 76.6 30 984 0.32 675 260 Midwest 1.3 1.3 3.5 48 18 48.1 18 434 0.16 431 162 East North Central 0.9 0.9 2.3 41 15 40.3 15 364 0.13 360 137 West North Central 0.5 0.5 1.2 63 25 62.9 23 565 0.23 565 208 South 2.3 2.2 4.5 34 17 32.4 12 338 0.16 320 120 South Atlantic 1.8 1.7 3.5 40 19 37.2

356

c36.xls  

Gasoline and Diesel Fuel Update (EIA)

,393 ,393 176 125 81 1.10 1.03 1.21 1.28 0.23 0.06 0.03 Q Building Floorspace (Square Feet) 1,001 to 10,000 ................................. 460 Q Q Q 1.21 Q Q Q 0.61 Q Q Q 10,001 to 100,000 ............................. 408 70 Q Q 1.09 1.12 1.29 1.31 0.24 0.11 Q Q Over 100,000 .................................... 524 21 47 Q 1.03 1.05 1.07 1.26 0.14 0.01 0.02 Q Principal Building Activity Education .......................................... 293 Q Q Q 1.04 Q Q Q 0.31 Q Q Q Health Care........................................ Q Q 19 8 Q 1.06 1.08 1.16 Q Q 0.02 0.03 Office ................................................ 122 8 18 Q 1.16 1.32 1.26 1.44 0.09 0.01 0.01 0.00 All Others .......................................... 936 Q 59 50 1.12 1.01 1.34 1.26 0.27 0.11 0.04 Q Year Constructed 1945 or Before .................................. 612 Q Q Q 1.10 Q Q Q 0.29

357

december2005.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Section 1. Commentary Electric Power Data

358

december2007.xls  

Gasoline and Diesel Fuel Update (EIA)

7 7 Section 1. Commentary Electric Power Data In the contiguous United States, October 2007 was the ninth warmest October on record as reported by the National Oceanic and Atmospheric Administration. Accordingly, heating degree days were 32.3 percent below the average for the month of October, and 37.2 percent lower than what was recorded in October 2006. As a further indicator of the warmer-than-normal temperatures observed across the United States, cooling degree days were 55.4 percent above the average for the month of October, and 89.1 percent higher than October 2006. In October 2007, electricity generation was 3.4 percent higher than what was observed in October 2006, while retail sales of electricity increased 5.0 percent when compared to October 2006. The higher growth rate for sales of electricity relative to

359

c26.xls  

Gasoline and Diesel Fuel Update (EIA)

3,553 3,553 4,844 3,866 2,261 8.56 7.09 8.40 7.28 0.39 0.37 0.29 0.29 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 456 782 599 317 9.84 8.57 9.21 7.94 0.89 0.73 0.69 0.51 5,001 to 10,000 ................................. 348 427 582 332 9.15 7.54 9.08 7.60 0.56 0.45 0.43 0.44 10,001 to 25,000 ............................... 502 945 656 422 9.74 7.96 9.41 7.02 0.43 0.39 0.32 0.31 25,001 to 50,000 ............................... 408 738 402 317 9.14 6.44 8.60 7.24 0.42 0.33 0.25 0.27 50,001 to 100,000 ............................. 531 662 493 182 9.08 7.04 8.39 7.26 0.32 0.34 0.23 0.19 100,001 to 200,000 ........................... 454 573 555 156 6.94 6.66 Q 6.59 0.27 0.32 0.25 0.17 200,001 to 500,000 ........................... 457 423 286 178 7.64 5.97 7.05 6.46 0.29 0.25 0.20 0.18 Over 500,000 ....................................

360

oil1980.xls  

Gasoline and Diesel Fuel Update (EIA)

5.4 5.4 11.6 29.7 131 51 99.0 36 1,053 0.41 795 287 Census Region and Division Northeast 9.2 6.0 18.2 176 59 116.2 42 1,419 0.47 934 335 New England 2.7 2.0 6.0 161 53 118.3 42 1,297 0.43 954 336 Middle Atlantic 6.5 4.1 12.2 184 61 115.3 42 1,478 0.49 926 335 Midwest 2.0 1.9 4.4 92 39 84.5 28 728 0.31 669 220 East North Central 1.5 1.4 3.3 92 39 84.4 28 731 0.31 673 220 West North Central 0.5 0.5 1.1 93 40 85.0 29 720 0.31 657 220 South 3.6 3.2 6.0 79 42 68.8 26 637 0.34 558 214 South Atlantic 3.5 3.0 5.6 80 43 70.0 27 651 0.35 568 218 East South Central 0.1 0.1 0.3 45 23 45.3 15 365 0.18 365 123 West South Central Q Q Q 68 50 41.1 41 521 0.39 317 317 West 0.6 0.5 1.2 67 30 64.0 24 522 0.24 501 187 Mountain 0.1 0.1 0.2 70 30 64.7 24 534 0.23 494 185 Pacific 0.5 0.5 1.0 66 30 63.8 24 519 0.24 503 187 Metropolitan Statistical Area Urban 9.5 6.0 17.2 170 60 107.5 40 1,372 0.48 865 324 Central City 4.8 2.1 6.8 249 77 109.3 41 2,014 0.62

Note: This page contains sample records for the topic "inventory forms xls" 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

oil1981.xls  

Gasoline and Diesel Fuel Update (EIA)

4.6 4.6 11.0 28.9 116 44 87.9 32 1,032 0.39 781 283 Census Region and Division Northeast 8.9 5.9 18.0 158 51 103.5 36 1,405 0.46 923 323 New England 2.4 1.7 5.1 148 50 105.3 36 1,332 0.45 946 327 Middle Atlantic 6.5 4.1 12.8 161 52 102.9 36 1,435 0.46 915 322 Midwest 2.3 2.2 5.1 86 37 79.5 29 751 0.32 693 254 East North Central 1.7 1.7 3.8 79 35 76.8 28 688 0.31 672 243 West North Central 0.6 0.4 1.3 115 40 87.7 33 993 0.35 759 286 South 2.8 2.5 4.7 56 30 50.2 20 497 0.27 448 180 South Atlantic 2.5 2.2 4.2 56 30 49.7 20 500 0.27 445 182 East South Central 0.3 0.3 0.5 55 31 55.4 20 482 0.27 482 171 West South Central Q Q Q 48 56 48.0 11 425 0.49 425 99 West 0.5 0.5 1.2 63 27 58.4 23 548 0.24 511 197 Mountain 0.1 0.1 0.2 45 24 44.6 18 384 0.20 384 153 Pacific 0.5 0.4 1.0 66 27 60.9 23 580 0.24 534 205 Metropolitan Statistical Area Urban 8.9 5.5 16.3 157 53 97.4 37 1,402 0.47 868 331 Central City 4.2 1.8 5.9 229 70 98.5 39 2,051 0.62

362

c22.xls  

Gasoline and Diesel Fuel Update (EIA)

Buildings* .................................. Buildings* .................................. 155 447 288 17,163 28,766 17,378 9.0 15.5 16.6 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 23 52 37 2,049 2,668 1,628 11.3 19.6 23.0 5,001 to 10,000 ................................. 15 35 27 1,859 2,854 1,484 8.1 12.2 18.1 10,001 to 25,000 ............................... 27 55 37 3,141 4,907 3,322 8.5 11.3 11.2 25,001 to 50,000 ............................... 16 56 31 2,344 3,994 2,047 6.7 13.9 15.3 50,001 to 100,000 ............................. 15 58 46 2,060 4,018 2,953 7.5 14.3 15.5 100,001 to 200,000 ........................... 19 69 53 2,113 3,911 2,993 9.2 17.7 17.7 200,001 to 500,000 ........................... 21 57 27 2,030 3,427 1,593 10.5 16.6 17.2 Over 500,000 .................................... 18 65 29 1,566 2,986 1,357 11.4 21.9

363

december2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: October 2006 Section 1. Commentary Electric Power Data As the transition from the summer into the fall season continues, October 2006 total net generation declined 2.9 percent from September 2006 due to declining cooling needs. Similarly, October 2006 retail sales of electricity were down 8.4 percent from September 2006. Comparing October 2006 to October 2005, however, net generation increased by 1.8 percent, due to a cooler October in 2006, leading to higher heating demand. October 2006 heating degree days were up 27.4 percent from October 2005. Year-to-date, through October 2006, both total net generation and retail sales of electricity were up 0.3 percent, compared to the first

364

October 2013.XLS  

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

Field Laboratory Area IV, CA (DOEEIS-0402) 9. Storage and Management of Elemental Mercury (DOEEIS-0423) 10. Supplemental EIS for the Storage and Management of Elemental...

365

c26.xls  

Gasoline and Diesel Fuel Update (EIA)

Building Floorspace (Square Feet) 1,001 to 5,000 ... 456 782 599 317 9.84 8.57 9.21 7.94 0.89 0.73 0.69 0.51 5,001 to 10,000...

366

manndata.xls  

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

5.24 4.88 2.76 60 ANDERSON 1949 3 ALBOLL 0 15 8.03 5.40 5.03 2.87 30 THOMPSON ET AL 1954 4 ALBOLL 0 15 6.26 4.31 3.50 2.16 30 THOMPSON ET AL 1954 5 ANDEPT 0 15 12.30 10.93...

367

b29.xls  

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

October 2006 Next CBECS will be conducted in 2007 Electricity Natural Gas Fuel Oil District Heat All Buildings* ... 64,783 60,028 15,996...

368

b27.xls  

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

October 2006 Next CBECS will be conducted in 2007 Elec- tricity Natural Gas Fuel Oil District Heat Propane Other a All Buildings* ... 64,783...

369

c13.xls  

Annual Energy Outlook 2012 (EIA)

... 1,435 18.0 9.5 4.9 12.6 20.7 93.3 1.17 0.065 Boilers ... 511 14.5 12.6 3.4 7.9 16.6 38.1 1.08...

370

b3.xls  

Annual Energy Outlook 2012 (EIA)

Heat ... 65 17 13 20 15 5,166 1,245 1,623 1,683 615 Boilers ... 579 227 175 88 89 20,423 6,228 6,141...

371

c1.xls  

Annual Energy Outlook 2012 (EIA)

District Heat ... 65 5,166 13,505 6,051 269 8 7,177 Boilers ... 579 20,423 31,052 22,045 7,418 1,337 Q...

372

b15.xls  

Annual Energy Outlook 2012 (EIA)

102 86 22 14 5 District Heat ... 65 Q Q Q 16 7 9 5 Boilers ... 579 216 88 81 94 51 34 15 Packaged...

373

c23.xls  

Gasoline and Diesel Fuel Update (EIA)

Heat ... 1,582 16.6 5.7 1.1 2.8 9.7 11.2 0.12 7.08 Boilers ... 2,334 55.5 47.6 29.7 54.4 91.5 17.2...

374

table5.xls  

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

215 215 1,353 1,511 1,602 1,793 2,287 Household Characteristics Census Region and Division Northeast............................................................... 227 248 274 295 299 378 New England........................................................ 64 64 67 75 84 122 Middle Atlantic ..................................................... 164 184 208 221 215 256 Midwest ................................................................. 298 327 379 403 479 560 East North Central............................................... 198 216 263 296 335 385 West North Central ............................................. 99 111 115 108 144 175 South..................................................................... 436 486 534 571 655 871 South Atlantic.......................................................

375

b22.xls  

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

Revised June 2006 Revised June 2006 144 Released: Dec 2006 Next CBECS will be conducted in 2007 Elec- tricity Natural Gas Fuel Oil District Heat District Chilled Water Propane Other a All Buildings* .................................. 4,645 4,414 4,404 2,391 451 67 33 502 132 Table B22. Energy Sources, Number of Buildings for Non-Mall Buildings, 2003 Number of Buildings (thousand) Energy Sources Used (more than one may apply) All Buildings* Buildings Using Any Energy Source Number of Workers (main shift) Fewer than 5 ..................................... 2,653 2,425 2,415 1,082 252 20 Q 318 84 5 to 9 ................................................ 778 775 775 474 67 Q Q 75 Q 10 to 19 ............................................. 563 563 563 359 38 Q Q 59 Q 20 to 49 ............................................. 398 397 397

376

table12.xls  

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

5.1 5.1 99.1 81.1 98.2 104.7 150.3 Household Characteristics Census Region and Division Northeast............................................................... 17.5 17.6 14.2 17.8 17.2 24.3 New England........................................................ 4.7 4.4 3.5 4.5 4.8 8.1 Middle Atlantic ..................................................... 12.8 13.2 10.7 13.3 12.4 16.2 Midwest ................................................................. 24.0 24.7 20.4 25.0 26.5 37.4 East North Central............................................... 16.0 16.1 14.0 17.9 18.5 25.7 West North Central ............................................. 8.0 8.7 6.3 7.1 8.0 11.7 South..................................................................... 34.2 35.7 29.1 34.9 37.7 54.4 South Atlantic.......................................................

377

b10.xls  

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

One One Floor Two Floors Three Floors Four to Nine Floors Ten or More Floors All Build- ings* One Floor Two Floors Three Floors Four to Nine Floors Ten or More Floors All Buildings* .................................. 4,645 3,136 1,031 339 128 12 64,783 25,981 16,270 7,501 10,085 4,947 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,014 411 115 Q N 6,789 5,192 1,217 343 Q N 5,001 to 10,000 ................................. 889 564 239 70 Q N 6,585 4,150 1,814 504 Q N 10,001 to 25,000 ............................... 738 399 248 74 18 Q 11,535 6,160 3,966 1,115 292 Q 25,001 to 50,000 ............................... 241 92 77 46 26 Q 8,668 3,296 2,772 1,631 964 Q 50,001 to 100,000 ............................. 129 46 35 21 25 Q 9,057 3,187 2,456 1,481 1,822 Q 100,001 to 200,000 ........................... 65 16 13

378

table4.xls  

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

.8 .8 1.8 1.8 1.8 1.8 1.9 Household Characteristics Census Region and Division Northeast............................................................... 1.7 1.7 1.7 1.7 1.8 1.8 New England........................................................ 1.8 1.6 1.8 1.7 1.9 1.9 Middle Atlantic ..................................................... 1.7 1.7 1.7 1.7 1.8 1.8 Midwest ................................................................. 1.8 1.7 1.8 1.8 1.9 2.0 East North Central............................................... 1.7 1.7 1.8 1.8 1.9 2.0 West North Central ............................................. 1.9 1.9 1.9 1.8 1.9 2.0 South..................................................................... 1.8 1.8 1.8 1.8 1.9 1.9 South Atlantic.......................................................

379

b5.xls  

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

West West South Central Mountain Pacific All Buildings* .................................. 64,783 2,964 9,941 11,595 5,485 12,258 3,393 7,837 3,675 7,635 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 360 666 974 922 1,207 538 788 464 871 5,001 to 10,000 ................................. 6,585 359 764 843 722 1,387 393 879 418 820 10,001 to 25,000 ............................... 11,535 553 1,419 1,934 1,164 2,240 810 1,329 831 1,256 25,001 to 50,000 ............................... 8,668 347 944 1,618 949 1,672 498 998 511 1,132 50,001 to 100,000 ............................. 9,057 516 1,524 1,618 642 1,470 650 1,314 374 948 100,001 to 200,000 ........................... 9,064 414 1,703 1,682 614 2,087 Q 1,131 Q 895 200,001 to 500,000 ........................... 7,176 Q 1,673 1,801 395 1,072

380

b17.xls  

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

4,645 4,645 4,011 1,841 2,029 141 635 46 164 425 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,272 980 1,205 87 280 Q 77 183 5,001 to 10,000 ................................. 889 783 384 375 Q 106 Q Q 87 10,001 to 25,000 ............................... 738 625 320 293 Q 113 Q 40 64 25,001 to 50,000 ............................... 241 185 91 86 Q 56 Q 16 36 50,001 to 100,000 ............................. 129 82 35 40 Q 47 Q 9 37 100,001 to 200,000 ........................... 65 43 21 20 Q 22 Q 8 12 200,001 to 500,000 ........................... 25 16 7 8 Q 9 2 1 5 Over 500,000 .................................... 7 5 2 3 N 2 1 Q Q Principal Building Activity Education .......................................... 386 141 83 58 N 245 Q 59 175 Food Sales ....................................... 226 224 94 130 N Q N

Note: This page contains sample records for the topic "inventory forms xls" 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

a1.xls  

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

October 2006 October 2006 Next CBECS will be conducted in 2007 Number of Buildings (thousand) Total Floorspace (million square feet) Mean Square Feet per Building (thousand) Median Square Feet per Building (thousand) All Buildings .................................... 4,859 71,658 14.7 5.0 Table A1. Summary Table for All Buildings (Including Malls), 2003 Climate Zone: 30-Year Average Under 2,000 CDD and -- More than 7,000 HDD ..................... 882 11,529 13.1 4.8 5,500-7,000 HDD ............................ 1,229 18,808 15.3 5.0 4,000-5,499 HDD ............................ 701 12,503 17.8 4.8 Fewer than 4,000 HDD ................... 1,336 17,630 13.2 4.5 2,000 CDD or More and -- Fewer than 4,000 HDD ................... 711 11,189 15.7 5.0 Number of Establishments One ...................................................

382

table11.xls  

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

5.1 5.1 16.1 18.3 19.3 19.8 20.2 Household Characteristics Census Region and Division Northeast............................................................... 15.6 NA 19.6 20.9 20.7 20.9 New England........................................................ 16.5 NA 19.7 21.1 20.4 21.0 Middle Atlantic ..................................................... 15.3 NA 19.6 20.8 20.8 20.8 Midwest ................................................................. 14.8 NA 18.2 19.0 20.1 20.2 East North Central............................................... 14.9 NA 18.4 19.4 20.1 20.3 West North Central ............................................. 14.5 NA 17.8 17.9 20.0 20.0 South..................................................................... 15.0 NA 18.0 19.2 19.6 20.2 South Atlantic.......................................................

383

b22.xls  

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

Released: Dec 2006 Next CBECS will be conducted in 2007 Elec- tricity Natural Gas Fuel Oil District Heat District Chilled Water Propane Other a All Buildings* .................................. 4,645 4,414 4,404 2,391 451 67 33 502 132 Table B22. Energy Sources, Number of Buildings for Non-Mall Buildings, 2003 Number of Buildings (thousand) Energy Sources Used (more than one may apply) All Buildings* Buildings Using Any Energy Source Number of Workers (main shift) Fewer than 5 ..................................... 2,653 2,425 2,415 1,082 252 20 Q 318 84 5 to 9 ................................................ 778 775 775 474 67 Q Q 75 Q 10 to 19 ............................................. 563 563 563 359 38 Q Q 59 Q 20 to 49 ............................................. 398 397 397 289 36 16 6 30 13 50 to 99 .............................................

384

b45.xls  

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

4,645 4,645 3,176 1,007 666 308 696 2,370 996 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 1,591 486 332 142 353 1,159 268 5,001 to 10,000 ................................. 889 642 188 124 65 117 494 181 10,001 to 25,000 ............................... 738 548 138 75 40 103 427 250 25,001 to 50,000 ............................... 241 196 78 44 19 53 148 134 50,001 to 100,000 ............................. 129 114 60 44 19 34 81 89 100,001 to 200,000 ........................... 65 58 36 29 13 23 41 48 200,001 to 500,000 ........................... 25 21 16 14 7 9 16 19 Over 500,000 .................................... 7 6 5 5 3 3 4 6 Principal Building Activity Education .......................................... 386 254 93 59 31 54 203 113 Food Sales ....................................... 226 212

385

b9.xls  

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

64,783 64,783 3,769 6,871 7,045 8,101 10,772 10,332 12,360 5,533 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 490 796 860 690 966 1,149 1,324 515 5,001 to 10,000 ................................. 6,585 502 827 643 865 1,332 721 1,209 486 10,001 to 25,000 ............................... 11,535 804 988 1,421 1,460 1,869 1,647 2,388 958 25,001 to 50,000 ............................... 8,668 677 838 935 1,234 1,720 1,174 1,352 739 50,001 to 100,000 ............................. 9,057 491 641 927 1,483 1,146 1,390 2,058 921 100,001 to 200,000 ........................... 9,064 Q 704 1,148 1,039 1,411 1,496 1,934 1,060 200,001 to 500,000 ........................... 7,176 Q 1,288 569 947 1,243 1,237 984 609 Over 500,000 .................................... 5,908 Q 790 541 382 1,085 1,518 1,111 Q Principal Building Activity

386

Summer Tables.xls  

Gasoline and Diesel Fuel Update (EIA)

8 8 1 September 2008 Short-Term Energy Outlook September 9, 2008 Release Highlights The monthly average price of West Texas Intermediate (WTI) crude oil decreased from over $133 per barrel in June and July to about $117 per barrel in August, reflecting expectations of a slowdown in world petroleum demand growth. WTI, which averaged $72 per barrel in 2007, is projected to average $116 per barrel in 2008. Projected stronger growth in world petroleum demand is expected to increase the annual average WTI price to $126 per barrel in 2009. The weekly price of regular-grade gasoline, which peaked at $4.11 per gallon on July 14, averaged $3.65 per gallon on September 8. Annual average retail

387

july2007.xls  

Gasoline and Diesel Fuel Update (EIA)

May 2007 Section 1. Commentary Electric Power Data For the contiguous U.S., the overall temperature for May 2007 was 2.1ºF (1.2ºC) above the average temperature observed for the month of May over the 1971-2000 time period. This was the 11th warmest May on record, with most of the contiguous U.S. observing warmer-than-normal temperatures except for Texas and South Carolina. Heating degree days for May 2007 were 32.7 percent below the normal observed over the 1971-2000 time period, and 21.9 percent lower than what was recorded in May 2006. As a further indicator of the warmer-than-normal temperatures observed across the U.S., cooling degree days for May 2007 were 7.7 percent above the 1971-2000 normal, and 2.8 percent higher than what was recorded in May 2006.

388

web_comments.xls  

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

Rec Type Rec Type Recommendations/ Comments Name Organization 1/9/2004 Reliability Standards Future reliability standards must strike a balance between detailed, rigid requirements, which provide little or no latitude for deviation, and standards, which are objective-based and allow for innovation and invention to achieve intended goals. Each standard should identify its importance on the BPS reliability in terms of the potential short-term (operating time horizon) vs. long-term (planning time horizon) impacts of non-compliance. Ajay Garg, Mike Penstone Hydro One Networks Inc. 1/9/2004 Reliability Standards Core Reliability Standards: comprising a small number of technical standards designed to enable the BPS to withstand and recover from unexpected contingencies. Core Reliability

389

January 2014.XLS  

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

5 - 2012 5 - 2012 2013 2014 2015 ADVANCED RESEARCH PROJECTS AGENCY - ENERGY Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 1. Engineered High Energy Crops Programmatic EIS (DOE/EIS-0481) ELECTRICITY DELIVERY AND ENERGY RELIABILITY 2. Presidential Permit Application, Champlain Hudson Power Express Transmission Line (DOE/EIS-0447) 3. Presidential Permit Application, Northern Pass Transmission LLC, NH (DOE/EIS-0463) 4. Plains and Eastern Clean Line Transmission Project (DOE/EIS-0486) 5. Hawaii Clean Energy Programmatic EIS (DOE/EIS-0459) ENVIRONMENTAL MANAGEMENT 6. Disposal of Greater-Than-Class C Low-Level Radioactive Waste

390

b14.xls  

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

64,783 64,783 12,208 3,939 1,090 3,754 4,050 10,078 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 1,382 336 122 416 1,034 895 5,001 to 10,000 ................................. 6,585 938 518 Q 744 722 868 10,001 to 25,000 ............................... 11,535 1,887 1,077 Q 1,235 1,021 2,064 25,001 to 50,000 ............................... 8,668 1,506 301 Q 930 560 1,043 50,001 to 100,000 ............................. 9,057 1,209 474 Q Q Q 1,494 100,001 to 200,000 ........................... 9,064 1,428 868 Q Q Q 1,162 200,001 to 500,000 ........................... 7,176 1,493 Q Q Q Q 1,322 Over 500,000 .................................... 5,908 2,365 Q Q N Q Q Year Constructed Before 1920 ...................................... 3,769 749 323 Q 586 Q 254 1920 to 1945 .....................................

391

b26.xls  

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

4,645 4,645 3,982 1,766 2,165 360 65 372 113 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,100 888 1,013 196 Q 243 72 5,001 to 10,000 ................................. 889 782 349 450 86 Q 72 Q 10,001 to 25,000 ............................... 738 659 311 409 46 18 38 Q 25,001 to 50,000 ............................... 241 225 114 151 11 9 11 Q 50,001 to 100,000 ............................. 129 123 60 84 8 8 Q Q 100,001 to 200,000 ........................... 65 62 29 39 9 9 Q Q 200,001 to 500,000 ........................... 25 24 11 15 4 4 Q Q Over 500,000 .................................... 7 6 3 4 1 2 Q Q Principal Building Activity Education .......................................... 386 382 180 186 21 25 36 Q Food Sales ....................................... 226 188 98 79 Q N Q Q Food Service .....................................

392

table2.xls  

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

6 6 89 89 89 87 92 Household Characteristics Census Region and Division Northeast............................................................... 77 NA 79 83 75 85 New England........................................................ 88 NA 82 83 82 89 Middle Atlantic ..................................................... 74 NA 78 82 74 84 Midwest ................................................................. 86 NA 91 90 92 91 East North Central............................................... 82 NA 89 90 92 91 West North Central ............................................. 94 NA 95 91 94 94 South..................................................................... 87 NA 91 91 89 96 South Atlantic....................................................... 87 NA 89 90 88 94 East South Central...............................................

393

Table 4.xls  

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

Emission Reductions and Sequestration Reported at Project and Entity Levels, Data Year 2005 Emission Reductions and Sequestration Reported at Project and Entity Levels, Data Year 2005 (Metric Tons Carbon Dioxide Equivalent) Report Name Sector Reduction Type Project Level Entity Level A&N Electric Cooperative Electric Providers Indirect 6,243 AES Hawaii, Inc. Electric Providers Sequestration 1,540,000 1,540,000 AES SeaWest, Inc. Electric Providers Direct 16 Indirect 220,420 AES Shady Point, LLC Electric Providers Sequestration 4,150,000 4,150,000 AES Thames, LLC Electric Providers Sequestration 410,000 410,000 AES Warrior Run, LLC Electric Providers Direct 41,386 41,386 Alabama Biomass Partners, Ltd Alternative Energy Unspecified (EZ) 77,012 Alcan Primary Products Corporation, Sebree Works Industrial Direct 457,800 457,800 Algonquin Power - Cambrian Pacific Genco LLC Alternative Energy

394

eia857.xls  

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

operational sendout to consumers of gas owned and not owned operational sendout to consumers of gas owned and not owned Residential Industrial Electric Power Other (not included in above categories) Residential Commercial (excluding vehicle fuel) Vehicle Fuel Industrial Electric Power Other (not included in above categories) Total of all deliveries (Lines 3.0 through 12.0) Heat content of gas delivered to consumers (Btu/cubic ft.): 6.0 4.1 (Specify Type) ................................................................... Deliveries of natural gas that you do not own to consumers within the report State U. S. Department of Energy Oil & Gas Survey Ben Franklin Station P.O. Box 279 Washington, DC 20044-0279 12.0 Revenue (Mcf @ 14.73 psia-60 o F) (Including taxes) Call: (Mcf @ 14.73 psia-60 o F) (877) 800-5261 Cost Questions? Volume (Including taxes)

395

b6.xls  

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

Revised June 2006 Revised June 2006 49 Released: June 2006 Next CBECS will be conducted in 2007 1,001 to 5,000 Square Feet 5,001 to 10,000 Square Feet 10,000 to 25,000 Square Feet 25,001 to 50,000 Square Feet 50,001 to 100,000 Square Feet 100,001 to 200,000 Square Feet 200,001 to 500,000 Square Feet Over 500,000 Square Feet All Buildings* .................................. 4,645 2,552 889 738 241 129 65 25 7 Table B6. Building Size, Number of Buildings for Non-Mall Buildings, 2003 Number of Buildings (thousand) All Buildings* Building Size Elevators and Escalators (more than one may apply) Any Elevators .................................... 309 Q 29 61 81 57 41 19 5 Number of Elevators One ................................................. 208 Q 29 57 62 29 11 4 Q Two to Five .....................................

396

table1.xls  

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

2.2 2.2 77.7 81.3 84.6 84.9 98.9 Household Characteristics Census Region and Division Northeast............................................................... 13.9 15.0 15.2 16.0 14.7 17.7 New England........................................................ 3.8 3.7 3.6 3.9 4.1 5.4 Middle Atlantic ..................................................... 10.1 11.3 11.6 12.1 10.7 12.3 Midwest ................................................................. 18.3 19.5 20.4 21.1 21.6 23.6 East North Central............................................... 12.3 13.2 14.3 15.1 15.1 16.3 West North Central ............................................. 6.0 6.4 6.1 6.0 6.5 7.3 South..................................................................... 24.7 27.0 28.3 29.5 30.2 36.2 South Atlantic.......................................................

397

b38.xls  

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

Released: October 2006 Next CBECS will be conducted in 2007 Heat Pumps Furnaces Individual Space Heaters District Heat Boilers Packaged Heating Units Other All Buildings* .................................. 4,645 3,982 476 1,864 819 65 579 953 205 Table B38. Heating Equipment, Number of Buildings for Non-Mall Buildings, 2003 Heating Equipment (more than one may apply) Number of Buildings (thousand) All Buildings* Heated Buildings Number of Floors One ................................................... 3,136 2,566 334 1,193 550 14 190 682 140 Two ................................................... 1,031 960 97 487 174 19 194 207 50 Three ................................................ 339 319 31 155 68 10 119 41 Q Four to Nine ...................................... 128 125 11 28 25 19 69 20 4 Ten or More ......................................

398

b43.xls  

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

4,645 4,645 4,248 2,184 3,943 941 455 565 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,261 1,070 2,068 382 101 205 5,001 to 10,000 ................................. 889 821 416 772 148 88 107 10,001 to 25,000 ............................... 738 716 412 665 189 105 123 25,001 to 50,000 ............................... 241 231 145 223 102 60 55 50,001 to 100,000 ............................. 129 126 75 123 60 51 37 100,001 to 200,000 ........................... 65 63 43 62 38 32 25 200,001 to 500,000 ........................... 25 24 17 24 16 13 10 Over 500,000 .................................... 7 6 5 6 5 4 4 Principal Building Activity Education .......................................... 386 384 132 368 97 59 39 Food Sales ....................................... 226 221 78 217 35 Q Q Food Service .....................................

399

table8.xls  

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

80.3 80.3 83.9 82.4 82.8 90.6 113.1 Household Characteristics Census Region and Division Northeast............................................................... 14.5 14.6 14.0 14.1 14.5 18.1 New England........................................................ 3.9 3.6 3.4 3.5 4.1 5.8 Middle Atlantic ..................................................... 10.7 11.0 10.6 10.6 10.4 12.3 Midwest ................................................................. 20.2 20.9 20.8 21.3 23.8 27.8 East North Central............................................... 13.3 13.5 14.3 15.2 16.7 19.1 West North Central ............................................. 6.8 7.4 6.5 6.0 7.2 8.7 South..................................................................... 29.1 30.7 29.6 29.8 33.5 43.2 South Atlantic.......................................................

400

b40.xls  

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

4,645 4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 1,841 581 260 383 Q Q 678 58 Q 5,001 to 10,000 ................................. 889 732 207 78 134 Q Q 367 26 Q 10,001 to 25,000 ............................... 738 629 140 87 114 Q 26 332 26 Q 25,001 to 50,000 ............................... 241 216 47 33 62 6 19 119 Q Q 50,001 to 100,000 ............................. 129 118 19 20 27 5 24 67 Q Q 100,001 to 200,000 ........................... 65 60 8 8 16 6 17 32 Q Q 200,001 to 500,000 ........................... 25 23 4 4 4 2 10 13 Q Q Over 500,000 .................................... 7 6 1 1 1 1 3 3 Q Q Principal Building Activity Education .......................................... 386 352 59 63 87 14 36 139 Q Q Food Sales .......................................

Note: This page contains sample records for the topic "inventory forms xls" 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

a3.xls  

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

4,859 252 509 728 577 926 360 587 316 603 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,586 134 240 372 356 474 217 294 166 333 5,001 to 10,000 ................................. 948 49 106 128 100 200 59 127 62 117 10,001 to 25,000 ............................... 810 46 92 133 78 151 54 103 61 91 25,001 to 50,000 ............................... 261 10 29 48 27 52 16 28 16 34 50,001 to 100,000 ............................. 147 8 23 25 10 26 11 21 7 15 100,001 to 200,000 ........................... 74 3 12 14 5 18 Q 10 3 7 200,001 to 500,000 ........................... 26 Q 6 6 1 4 Q 3 1 3 Over 500,000 .................................... 8 Q 2 1 Q 2 Q Q Q 1 Principal Building Activity Education .......................................... 386 Q 21 34 29 87 Q 56 39 97 Food Sales .......................................

402

b31.xls  

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

4,645 4,645 3,472 1,910 1,445 94 27 128 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 1,715 1,020 617 41 N 66 5,001 to 10,000 ................................. 889 725 386 307 Q Q 27 10,001 to 25,000 ............................... 738 607 301 285 16 Q 27 25,001 to 50,000 ............................... 241 217 110 114 Q Q Q 50,001 to 100,000 ............................. 129 119 53 70 Q 5 Q 100,001 to 200,000 ........................... 65 60 27 35 Q 5 Q 200,001 to 500,000 ........................... 25 23 9 14 Q 2 Q Over 500,000 .................................... 7 6 3 3 Q 1 N Principal Building Activity Education .......................................... 386 298 144 149 10 6 15 Food Sales ....................................... 226 186 109 68 Q N Q Food Service .....................................

403

b7.xls  

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

Square Square Feet 50,001 to 100,000 Square Feet 100,001 to 200,000 Square Feet 200,001 to 500,000 Square Feet Over 500,000 Square Feet All Buildings* .................................. 64,783 6,789 6,585 11,535 8,668 9,057 9,064 7,176 5,908 Principal Building Activity Education .......................................... 9,874 409 399 931 1,756 2,690 2,167 1,420 Q Food Sales ....................................... 1,255 409 356 Q Q Q Q N N Food Service ..................................... 1,654 544 442 345 Q Q N Q N Health Care ....................................... 3,163 165 280 313 157 364 395 514 973 Inpatient .......................................... 1,905 N N Q Q Q Q 467 973 Outpatient ....................................... 1,258 165 280 312 Q 206 Q Q N Lodging ............................................. 5,096 99

404

table10.xls  

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

1,112 1,079 1,014 979 1,067 1,143 Household Characteristics Census Region and Division Northeast........................... 1,044 972 917 886 982 1,027 New England....................... 1,019 972 942 911 1,006 1,086 Middle Atlantic .................. 1,054 971 909 877 973 1,001 Midwest ............................ 1,104 1,070 1,016 1,008 1,104 1,176 East North Central................ 1,082 1,025 996 1,008 1,102 1,164 West North Central ............... 1,149 1,163 1,062 1,008 1,110 1,205 South............................... 1,178 1,137 1,046 1,008 1,109 1,193 South Atlantic.................... 1,177 1,099 1,028 963 1,111 1,146 East South Central................ 1,160 1,164 1,036 1,083 1,167 1,273 West South Central................ 1,192 1,185 1,081 1,033 1,073 1,244 West................................

405

b28.xls  

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

4,645 4,645 3,982 1,258 1,999 282 63 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,100 699 955 171 Q 5,001 to 10,000 ................................. 889 782 233 409 58 Q 10,001 to 25,000 ............................... 738 659 211 372 32 Q 25,001 to 50,000 ............................... 241 225 63 140 8 9 50,001 to 100,000 ............................. 129 123 32 73 6 8 100,001 to 200,000 ........................... 65 62 15 33 Q 9 200,001 to 500,000 ........................... 25 24 5 13 Q 4 Over 500,000 .................................... 7 6 1 3 Q 2 Principal Building Activity Education .......................................... 386 382 141 172 14 24 Food Sales ....................................... 226 188 94 68 Q N Food Service ..................................... 297 282

406

b16.xls  

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

64,783 64,783 15,492 6,166 7,803 10,989 7,934 6,871 9,528 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 4,659 1,264 689 155 Q Q N 5,001 to 10,000 ................................. 6,585 3,323 1,373 1,109 689 Q Q N 10,001 to 25,000 ............................... 11,535 4,006 2,075 2,456 2,113 692 Q N 25,001 to 50,000 ............................... 8,668 1,222 836 1,327 2,920 1,648 667 Q 50,001 to 100,000 ............................. 9,057 704 291 1,157 2,865 2,151 1,518 371 100,001 to 200,000 ........................... 9,064 804 Q Q 1,558 2,014 2,455 1,452 200,001 to 500,000 ........................... 7,176 Q Q Q 533 1,077 1,706 2,571 Over 500,000 .................................... 5,908 Q N N Q Q Q 5,087 Principal Building Activity Education ..........................................

407

b4.xls  

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

East East South Central West South Central Mountain Pacific All Buildings* .................................. 4,645 233 493 696 571 874 348 553 299 580 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 127 237 369 356 457 215 294 165 333 5,001 to 10,000 ................................. 889 48 101 117 97 189 56 116 56 110 10,001 to 25,000 ............................... 738 37 90 122 75 139 51 88 54 81 25,001 to 50,000 ............................... 241 10 26 44 27 47 15 26 14 32 50,001 to 100,000 ............................. 129 7 21 24 10 21 10 18 5 13 100,001 to 200,000 ........................... 65 3 12 12 5 16 Q 8 Q 6 200,001 to 500,000 ........................... 25 Q 6 6 1 4 Q 2 1 3 Over 500,000 .................................... 7 Q 1 1 Q 1 Q Q Q 1 Principal Building Activity Education ..........................................

408

table13.xls  

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

736 736 722 550 650 668 787 Household Characteristics Census Region and Division Northeast............................................................... 731 NA 532 660 647 766 New England........................................................ 706 NA 526 687 637 810 Middle Atlantic ..................................................... 740 NA 534 651 651 746 Midwest ................................................................. 738 NA 539 651 644 793 East North Central............................................... 751 NA 539 650 639 792 West North Central ............................................. 714 NA 538 654 656 793 South..................................................................... 758 NA 575 663 673 776 South Atlantic.......................................................

409

b23.xls  

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

64,783 64,783 63,343 63,307 43,468 15,157 5,443 2,853 7,076 1,401 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 6,362 6,346 3,084 600 Q Q 806 199 5,001 to 10,000 ................................. 6,585 6,212 6,197 3,692 716 Q Q 725 Q 10,001 to 25,000 ............................... 11,535 11,370 11,370 7,053 966 289 Q 1,014 Q 25,001 to 50,000 ............................... 8,668 8,385 8,385 6,025 825 369 240 638 Q 50,001 to 100,000 ............................. 9,057 9,031 9,031 6,683 1,740 574 332 925 Q 100,001 to 200,000 ........................... 9,064 9,018 9,018 6,645 2,927 1,399 793 989 Q 200,001 to 500,000 ........................... 7,176 7,056 7,051 5,679 3,400 1,018 495 1,165 Q Over 500,000 .................................... 5,908 5,908 5,908 4,606 3,981 1,693 822 Q Q Principal Building Activity

410

b41.xls  

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

64,783 64,783 56,940 11,035 9,041 12,558 2,853 11,636 29,969 1,561 1,232 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 5,007 1,568 675 972 Q Q 1,957 179 Q 5,001 to 10,000 ................................. 6,585 5,408 1,523 563 1,012 Q Q 2,741 207 Q 10,001 to 25,000 ............................... 11,535 9,922 2,173 1,441 1,740 Q 456 5,260 378 Q 25,001 to 50,000 ............................... 8,668 7,776 1,683 1,155 2,301 240 729 4,264 Q Q 50,001 to 100,000 ............................. 9,057 8,331 1,388 1,440 1,958 332 1,722 4,732 Q Q 100,001 to 200,000 ........................... 9,064 8,339 993 1,158 2,259 793 2,366 4,504 Q Q 200,001 to 500,000 ........................... 7,176 6,565 1,136 1,273 1,223 495 3,023 3,834 Q Q Over 500,000 .................................... 5,908 5,591 569 1,334 1,095

411

a2.xls  

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

North North east Mid- west South West All Buildings North- east Mid- west South West All Buildings .................................... 4,859 761 1,305 1,873 920 71,658 13,995 18,103 26,739 12,820 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,586 374 728 985 499 6,922 1,059 1,908 2,618 1,337 5,001 to 10,000 ................................. 948 155 228 386 179 7,033 1,169 1,676 2,844 1,343 10,001 to 25,000 ............................... 810 138 211 308 152 12,659 2,122 3,317 4,859 2,361 25,001 to 50,000 ............................... 261 39 75 96 50 9,382 1,388 2,712 3,474 1,808 50,001 to 100,000 ............................. 147 31 35 58 22 10,291 2,272 2,376 4,059 1,584 100,001 to 200,000 ........................... 74 15 18 30 10 10,217 2,238 2,486 4,140 1,353 200,001 to 500,000 ...........................

412

table6.xls  

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

.4 .4 9.9 10.2 10.6 11.4 12.0 Household Characteristics Census Region and Division Northeast............................................................... 9.5 NA 10.3 10.9 11.3 11.9 New England........................................................ 9.6 NA 10.2 11.4 11.1 12.3 Middle Atlantic ..................................................... 9.5 NA 10.3 10.8 11.3 11.7 Midwest ................................................................. 9.2 NA 10.0 10.5 11.6 11.9 East North Central............................................... 9.3 NA 10.1 10.7 11.6 11.9 West North Central ............................................. 8.8 NA 9.8 10.0 11.8 11.9 South..................................................................... 9.7 NA 10.6 10.8 11.7 12.4 South Atlantic.......................................................

413

b11.xls  

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

Lodging Lodging Retail (Other Than Mall) Table B11. Selected Principal Building Activity: Part 1, Number of Buildings for Non- Mall Buildings, 2003 Principal Building Activity Number of Buildings (thousand) Health Care All Buildings* Education Food Sales Food Service Energy Information Administration 2003 Commercial Buildings Energy Consumption Survey: Building Characteristics Tables Released: June 2006 Next CBECS will be conducted in 2007 Inpatient Outpatient All Buildings* .................................. 4,645 386 226 297 8 121 142 443 Lodging Retail (Other Than Mall) Table B11. Selected Principal Building Activity: Part 1, Number of Buildings for Non- Mall Buildings, 2003 Principal Building Activity Number of Buildings (thousand) Health Care All Buildings* Education Food Sales Food

414

a6.xls  

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

71,658 71,658 6,922 7,033 12,659 9,382 10,291 10,217 7,494 7,660 Principal Building Activity Education .......................................... 9,874 409 399 931 1,756 2,690 2,167 1,420 Q Food Sales ....................................... 1,255 409 356 Q Q Q Q N N Food Service ..................................... 1,654 544 442 345 Q Q N Q N Health Care ....................................... 3,163 165 280 313 157 364 395 514 973 Inpatient .......................................... 1,905 N N Q Q Q Q 467 973 Outpatient ....................................... 1,258 165 280 312 Q 206 Q Q N Lodging ............................................. 5,096 99 160 631 803 841 930 1,185 Q Mercantile ......................................... 11,192 771 1,173 2,409 1,291 1,505 1,677 462 1,905 Retail (Other Than Mall) .................. 4,317 638

415

b34.xls  

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

Revised June 2006 Revised June 2006 178 Released: Dec 2006 Next CBECS will be conducted in 2007 All Build- ings* Not Heated 1 to 50 Percent Heated 51 to 99 Percent Heated 100 Percent Heated All Build- ings* Not Heated 1 to 50 Percent Heated 51 to 99 Percent Heated 100 Percent Heated All Buildings* .................................. 4,645 663 523 498 2,962 64,783 4,756 6,850 8,107 45,071 Table B34. Percent of Floorspace Heated, Number of Buildings and Floorspace for Non- Mall Buildings, 2003 Number of Buildings (thousand) Total Floorspace (million square feet) Number of Floors One ................................................... 3,136 570 353 292 1,921 25,981 3,237 3,336 2,534 16,875 Two ................................................... 1,031 70 135 111 714 16,270 862 2,027 1,643 11,739 Three ................................................

416

c5.xls  

Gasoline and Diesel Fuel Update (EIA)

71 71 1,690 1,948 911 12,905 17,080 23,489 11,310 98.5 98.9 82.9 80.6 Building Floorspace (Square Feet) 1,001 to 5,000 ................................. 118 206 240 108 1,025 1,895 2,533 1,336 115.1 108.5 94.9 80.6 5,001 to 10,000 ............................... 102 117 185 112 1,123 1,565 2,658 1,239 90.7 74.7 69.5 90.8 10,001 to 25,000 ............................. 148 228 250 150 1,972 3,098 4,378 2,087 75.3 73.6 57.2 71.7 25,001 to 50,000 ............................. 106 247 205 114 1,292 2,567 3,168 1,643 82.4 96.3 64.8 69.4 50,001 to 100,000 ........................... 203 212 255 89 2,040 2,260 3,435 1,322 99.4 93.6 74.3 67.6 100,001 to 200,000 ......................... 209 252 375 97 2,117 2,296 3,475 1,177 98.8 109.8 107.9 82.7 200,001 to 500,000 ......................... 189 244 191 100 1,781 2,196 1,914 1,286 106.3 111.1 99.9 78.1 Over 500,000 ..................................

417

c32.xls  

Gasoline and Diesel Fuel Update (EIA)

571 571 871 427 12,097 19,763 11,608 47.2 44.1 36.8 Building Floorspace (Square Feet) 1,001 to 5,000 .................................. 85 98 59 1,222 1,214 648 69.5 81.0 91.5 5,001 to 10,000 ................................ 56 90 56 1,131 1,733 828 49.8 51.9 67.7 10,001 to 25,000 .............................. 103 141 57 2,392 2,909 1,752 42.9 48.4 32.3 25,001 to 50,000 .............................. 90 102 58 1,827 2,700 1,498 49.3 37.7 38.7 50,001 to 100,000 ............................ 68 112 57 1,636 3,178 1,869 41.4 35.1 30.5 100,001 to 200,000 .......................... 63 120 59 1,501 2,745 2,399 42.0 43.6 24.5 200,001 to 500,000 .......................... 45 104 50 1,496 2,748 1,435 30.1 37.8 34.8 Over 500,000 ................................... 62 105 Q 893 2,535 Q 69.1 41.4 Q Principal Building Activity Education .........................................

418

january2008.xls  

Gasoline and Diesel Fuel Update (EIA)

Chris Cassar at 202-586-5448, or at Christopher.Cassar@eia.doe.gov. Chris Cassar at 202-586-5448, or at Christopher.Cassar@eia.doe.gov. Monthly Flash Estimates of Data for: November 2007 Section 1. Commentary Electric Power Data According to the National Oceanic and Atmospheric Administration, November 2007 was the twenty-fifth warmest November over the 1895-2007 time period. Heating degree days were 3.3 percent below the average for the month of November, but 11.6 percent higher than what was recorded in a fairly mild November 2006. In November 2007, electricity generation was 1.4 percent higher than what was observed in November 2006, while retail sales of electricity increased 2.6 percent when compared to November 2006. The higher growth rate for sales of electricity relative to generation is influenced by the fact that the utility billing cycles tend to lag electricity production in many areas.

419

natgas1980.xls  

Gasoline and Diesel Fuel Update (EIA)

Household Member Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 51.6 39.7 88.5 125 56 96.2 34 497 0.22 383 137 Census Region and Division Northeast 10.9 6.5 18.8 144 50 86.6 31 771 0.27 463 168 New England 1.9 0.9 3.1 162 47 78.9 28 971 0.28 472 169 Middle Atlantic 9.0 5.6 15.7 141 51 88.1 32 739 0.27 461 168 Midwest 15.5 12.4 29.4 164 70 131.6 46 586 0.25 470 165 East North Central 10.9 8.5 20.0 175 75 136.5 47 646 0.28 503 174 West North Central 4.6 3.9 9.4 141 59 120.0 44 456 0.19 389 143 South 13.3 11.4 21.1 99 53 84.4 30 389 0.21 333 118 South Atlantic 4.9 3.8 8.3 111 51 87.5 30 519 0.24 408 140 East South Central 2.3 2.0 3.7 102 55 86.4 33 371 0.2 314 119 West South Central 6.1 5.5 9.1 89 54 81.1 29 306 0.19 279 99 West 11.9 9.4 19.3 91 44 71.9 26

420

sup_rci.xls  

Gasoline and Diesel Fuel Update (EIA)

1 1 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Equipment Stock (million units) Main Space Heaters Electric Heat Pumps 10.38 10.71 11.03 11.32 11.60 11.83 12.09 12.35 12.60 12.86 13.13 13.39 13.64 Electric Other 21.53 21.59 21.64 21.69 21.72 21.78 21.87 21.96 22.07 22.18 22.30 22.41 22.53 Natural Gas Heat Pumps 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Natural Gas Other 59.99 60.71 61.44 62.11 62.81 63.56 64.34 65.12 65.90 66.68 67.46 68.22 68.97 Distillate 8.02 8.02 8.03 8.04 8.04 8.05 8.06 8.07 8.07 8.08 8.09 8.10 8.11 Liquefied Petroleum Gas 4.95 5.00 5.03 5.05 5.08 5.12 5.17 5.21 5.26 5.31 5.36 5.41 5.45 Kerosene 0.82 0.81 0.80 0.79 0.78 0.77 0.76 0.75 0.75 0.74 0.74 0.74 0.73 Wood Stoves 2.05 2.05 2.04 2.03 2.02 2.00 1.99 1.98 1.97 1.96 1.95 1.94 1.94 Geothermal Heat Pumps 0.06 0.07 0.09 0.10 0.12 0.13 0.15

Note: This page contains sample records for the topic "inventory forms xls" 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

november2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: September 2006 Section 1. Commentary Electric Power Data September is a transitional month between summer and fall, when decreased electricity use coincides with a decline in cooling demand. In contrast to recent Septembers, which have been warmer than normal, cooling and heating degree days for September 2006 were each within 10 percent of the norm. In September 2006, cooling degree days were 35.0 percent lower than September 2005 and 57.1 percent lower than August 2006. The changes in temperature translated into a 5.2 percent decline in September 2006 net electricity generation when compared to September 2005, and an 18.2 percent decline when compared to August 2006. Similarly, September 2006 retail sales of electricity

422

P4.xls  

Gasoline and Diesel Fuel Update (EIA)

P4. Energy Production Estimates in Physical Units, Ranked by State, 2011 P4. Energy Production Estimates in Physical Units, Ranked by State, 2011 United States 1,095,628 United States e 24,036,351 United States f 2,062,932 United States 331,646 1 Wyoming 438,673 Texas 7,112,863 Texas 531,524 Iowa 87,314 2 West Virginia 134,785 Louisiana 3,029,206 Alaska 204,829 Nebraska 47,120 3 Kentucky 108,971 Wyoming 2,159,422 California 193,691 Illinois 30,068 4 Pennsylvania 59,899 Oklahoma 1,888,870 North Dakota 152,985 Minnesota 27,536 5 Texas 45,904 Colorado 1,637,576 Oklahoma 76,681 South Dakota 24,850 6 Montana 42,008 Pennsylvania 1,310,592 New Mexico 71,274 Indiana 22,547 7 Illinois 37,938 New Mexico 1,237,303 Louisiana 68,984 Wisconsin 12,278 8 Indiana 37,544 Arkansas 1,072,212 Wyoming 54,710 Ohio 10,811 9 North Dakota 28,231 Utah 457,525 Kansas 41,503 Kansas 10,676 10 Ohio 28,175 West Virginia 394,125 Colorado

423

october2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: August 2006 Section 1. Commentary Electric Power Data Year-to-date net electric generation through August 2006 was 0.8 percent higher compared to year-to-date generation through August 2005. Comparing month-to-month, August 2006 net generation was 0.1 percent higher than August 2005, and 2.4 percent lower than July 2006. The higher net generation above last year was influenced by a continued strong economy and warmer than normal August weather. The index of industrial production was 4.7 percent higher comparing August 2006 to August 2005, but eased down, by 0.2 percent, between July 2006 and August 2006. Setting a new high, the national average retail price of electricity for August 2006 was 9.52 cents per kilowatthour. Comparing year-to-

424

september2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: July 2006 Section 1. Commentary Electric Power Data According to the National Climatic Data Center, the United States had its second hottest July on record due to a blistering heat wave throughout the country. The first seven months of 2006 was also the warmest on record in the Nation since recordkeeping began in 1895. July 2006 cooling degree days were near their historical high and more than 21 percent above normal. Year-to-date cooling degree days through July 2006 were 9.1 percent higher than in 2005. In July 2006 net generation, retail sales and retail prices of electricity all reached new highs. Year-to-date net generation for July 2006 was up 1.3

425

july2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: May 2006 Section 1. Commentary Electric Power Data The weather through May 2006 continued to be warmer than in 2005. According to the National Climatic Data Center, the first half of 2006 was the warmest on record in the U.S. since record keeping began in 1895. Year-to-date, heating degree days were down 10.2 percent and cooling degree days were up 44.7 percent through May. For May alone heating degree days were down 22.5 percent, and cooling degree days were 38.5 percent higher than last May. Year-to-date net generation through May was 0.7 percent higher than in 2005. Because of the advent of the summer cooling season and strong seasonal economic activity, May 2006 generation was up 5.1 percent compared to May 2005, and up 11.5 percent

426

august2007.xls  

Gasoline and Diesel Fuel Update (EIA)

June 2007 Section 1. Commentary Electric Power Data The U.S. National Oceanic and Atmospheric Administration (NOAA) reports that warmer- and drier-than-average conditions dominated much of the United States during the first half of 2007. June 2007 was the 23rd warmest June on record, increasing the cooling needs of the residential and commercial customers in the Nation. Cooling degree days for June 2007 were 9.3 percent above the average, but unchanged from June 2006. June 2007 electricity generation and retail sales of electricity were little changed from June 2006. Retail sales of electricity for the month of June 2007 increased only 0.2 percent compared to June 2006, while June 2007 generation for electric power was down 0.4 percent. The average U.S. retail price of electricity (all sectors) for June 2007 showed a 2.4-percent increase from

427

09 budget.xls  

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

Office of Electricity Delivery and Energy Reliability Budget Information Office of Electricity Delivery and Energy Reliability Budget Information FY 2007 FY 2009 Operating Plan Request Appropriation Request Research and Development High Temperature Superconductivity 45,750 28,186 27,930 28,186 Visualization and Controls 24,388 25,305 25,075 25,305 Energy Storage and Power Electronics 2,823 6,803 6,741 13,403 Renewable and Distributed Systems Integration 23,546 25,700 25,466 33,306 Congressionally Directed Activities - - 24,290 - SUBTOTAL, Research and Development

428

july2009.xls  

Gasoline and Diesel Fuel Update (EIA)

May 2009 Section 1. Commentary Electric Power Data In May 2009, the contiguous United States as a whole experienced temperatures that were above the monthly average. However, regional differences in temperature occurred as the West, Southwest, and Northwest all experienced above normal temperatures while the rest of the United States experienced near normal temperatures. Heating degree days for the contiguous United States were 20.8 percent below the average for the month of May and 31.1 percent below a much colder May 2008. Likewise, cooling degree days for the contiguous United States were 12.4 percent above the average for the month of May and 19.8 percent above May 2008. Retail sales of electricity decreased 5.0 percent in May 2009 compared to May 2008. This decrease in retail sales was caused mainly

429

october2007.xls  

Gasoline and Diesel Fuel Update (EIA)

August 2007 Section 1. Commentary Electric Power Data For the second month in a row, record warmth was observed throughout a majority of the country while the heavily populated Northeast experienced near average temperatures. Accordingly, cooling degree days for August 2007 were 26.0 percent above the average for the month of August, and 9.2 percent higher than August 2006. August 2007 electricity generation and retail sales of electricity were both up when compared to August 2006. Retail sales of electricity were 1.2 percent higher when compared to August 2006. However, residential retail sales of electricity decreased by 0.1 percent compared to August 2006. Generation for electric power was 3.8 percent higher than what was recorded in August

430

c1.xls  

Gasoline and Diesel Fuel Update (EIA)

Number of Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat All Buildings* .................................. 4,645 64,783 92,577 69,032 14,525 1,776 7,245 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 6,789 12,812 10,348 2,155 292 Q 5,001 to 10,000 ................................. 889 6,585 9,398 7,296 1,689 307 Q 10,001 to 25,000 ............................... 738 11,535 13,140 10,001 2,524 232 Q 25,001 to 50,000 ............................... 241 8,668 10,392 7,871 1,865 127 Q 50,001 to 100,000 ............................. 129 9,057 11,897 8,717 1,868 203 Q 100,001 to 200,000 ........................... 65 9,064 13,391 9,500 1,737 272 Q 200,001 to 500,000 ........................... 25 7,176 10,347

431

sup_tran.xls  

Gasoline and Diesel Fuel Update (EIA)

(Trillion Btu) 2000- 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2020 Energy Use by Mode Highway Light-Duty Vehicles 14970.8 15191.3 15547.6 16054.3 16397.0 16743.0 17049.5 17379.1 17749.7 18129.3 18485.4 18843.9 19193.1 19518.8 19800.2 20071.6 20352.6 20620.8 20874.5 21140.7 21367.4 1.8% Automobiles 8641.2 8557.7 8554.5 8628.8 8632.3 8639.0 8622.6 8629.9 8669.2 8715.0 8763.0 8824.1 8891.3 8958.2 9010.9 9065.1 9131.3 9196.1 9258.6 9330.1 9387.4 0.4% Light Trucks 6304.8 6609.0 6968.5 7400.7 7739.9 8079.1 8402.1 8724.4 9055.5 9389.2 9697.2 9994.5 10276.3 10534.9 10763.4 10980.5 11195.1 11398.3 11589.2 11783.8 11953.0 3.3% Motorcycles 24.8 24.6 24.6 24.8 24.8 24.8 24.8 24.8 24.9 25.0 25.2 25.3 25.5 25.7 25.9 26.0 26.2 26.4 26.6 26.8 27.0 0.4% Commercial Light Trucks 1/ 637.6 624.1

432

c13.xls  

Gasoline and Diesel Fuel Update (EIA)

25th 25th Per- centile Median 75th Per- centile per Building (thousand dollars) per Square Foot (dollars) per kWh (dollars) All Buildings* .................................. 202 14.1 12.2 3.6 8.2 17.1 15.7 1.09 0.078 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 47 17.8 11.4 3.8 8.9 20.3 4.3 1.63 0.092 5,001 to 10,000 ................................. 92 12.4 10.3 3.8 7.4 14.5 8.7 1.18 0.095 10,001 to 25,000 ............................... 164 10.5 11.1 2.9 6.3 13.4 13.8 0.88 0.084 25,001 to 50,000 ............................... 439 12.2 11.6 3.8 8.8 16.2 33.6 0.94 0.077 50,001 to 100,000 ............................. 927 13.1 14.1 4.5 9.9 17.0 68.0 0.97 0.073 100,001 to 200,000 ........................... 2,181 15.7 12.2 5.3 13.0 23.4 146.4 1.05 0.067 200,001 to 500,000 ...........................

433

c16.xls  

Gasoline and Diesel Fuel Update (EIA)

,262 ,262 14,172 25,540 15,057 0.10 0.07 0.07 0.10 1.11 0.85 1.12 1.37 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 1,617 2,401 4,142 2,188 0.12 0.08 0.08 0.12 1.62 1.39 1.78 1.69 5,001 to 10,000 ................................. 1,202 1,212 2,721 2,160 0.12 0.08 0.08 0.12 1.11 0.84 1.11 1.78 10,001 to 25,000 ............................... 1,795 2,145 3,763 2,299 0.10 0.07 0.08 0.10 0.92 0.69 0.88 1.11 25,001 to 50,000 ............................... 1,168 2,042 2,864 1,797 0.10 0.07 0.07 0.10 0.90 0.82 0.95 1.12 50,001 to 100,000 ............................. 2,130 1,777 3,190 1,620 0.09 0.06 0.06 0.10 1.04 0.79 0.93 1.25 100,001 to 200,000 ........................... 2,286 1,963 3,810 1,440 0.09 0.06 0.06 0.08 1.08 0.86 1.11 1.22 200,001 to 500,000 ........................... 1,985 1,497 2,312 1,530

434

c21.xls  

Gasoline and Diesel Fuel Update (EIA)

Square Square Feet All Buildings* .................................. 190 341 360 12,543 28,786 21,977 15.1 11.8 16.4 Principal Building Activity Education .......................................... 9 55 45 806 5,378 3,687 11.1 10.2 12.2 Food Sales ....................................... 36 24 Q 747 467 Q 48.8 51.1 Q Food Service ..................................... 47 16 Q 986 664 Q 47.8 24.5 Q Health Care ....................................... 6 17 50 445 835 1,883 13.1 20.5 26.3 Inpatient .......................................... N Q 47 N Q 1,723 N Q 27.0 Outpatient ....................................... 6 11 Q 445 652 Q 13.1 17.4 Q Lodging ............................................. 4 31 34 260 2,274 2,563 14.0 13.5 13.5 Retail (Other Than Mall)..................... 17 28 18 1,363 2,133 821 12.2 12.9 21.5 Office ................................................

435

Fig1.xls  

Gasoline and Diesel Fuel Update (EIA)

December 2009 December 2009 1 December 2009 Short-Term Energy Outlook December 8, 2009 Release Highlights  EIA expects the price of West Texas Intermediate (WTI) crude oil will average about $76 per barrel this winter (October-March). The forecast for the monthly average WTI price dips to $75 early next year then rises to $82 per barrel by December 2010, assuming U.S. and world economic conditions continue to improve. EIA's forecast assumes that U.S. real gross domestic product (GDP) grows by 1.9 percent in 2010 and world oil-consumption-weighted real GDP grows by 2.6 percent.  Rising crude oil prices contribute to an increase in the annual average regular-

436

sup_tran.xls  

Gasoline and Diesel Fuel Update (EIA)

Type Type (Trillion Btu) 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Energy Use by Mode Highway Light-Duty Vehicles 15161.1 15575.7 15906.8 16472.8 16956.1 17383.6 17761.0 18145.3 18523.6 18909.9 19286.4 19680.7 20088.4 Automobiles 8876.0 8832.9 8766.0 8824.8 8847.8 8851.9 8868.7 8891.4 8906.8 8939.0 8971.8 9011.9 9058.7 Light Trucks 6259.5 6717.3 7115.4 7622.5 8082.6 8506.0 8866.5 9228.1 9591.0 9945.0 10288.6 10642.6 11003.3 Motorcycles 25.6 25.5 25.4 25.6 25.7 25.7 25.8 25.8 25.9 26.0 26.0 26.2 26.3 Commercial Light Trucks 1/ 583.8 586.5 584.4 605.0 624.7 637.7 648.0 658.6 670.4 683.6 696.8 709.8 724.5 Buses 251.1 238.9 239.8 242.3 244.6 246.6 248.7 250.7 252.8 254.8 256.6 258.2 259.4 Transit 98.9 94.1 94.5 95.5 96.4 97.2 98.0 98.8 99.6 100.4 101.1 101.7 102.2 Intercity 36.6 34.7 34.8 35.2 35.5 35.8 36.1 36.4 36.7

437

c23.xls  

Gasoline and Diesel Fuel Update (EIA)

25th 25th Per- centile Median 75th Per- centile per Building (thousand dollars) per Square Foot (dollars) per Thousand Cubic Feet (dollars) All Buildings* ................................. 782 43.0 36.0 17.6 37.1 70.9 6.1 0.33 7.77 Building Floorspace (Square Feet) 1,001 to 5,000 ................................. 219 78.7 42.6 23.7 46.3 92.0 1.9 0.70 8.88 5,001 to 10,000 ............................... 408 54.8 42.5 13.9 28.8 65.7 3.4 0.46 8.34 10,001 to 25,000 ............................. 667 42.5 40.8 14.4 29.2 52.1 5.6 0.36 8.41 25,001 to 50,000 ............................. 1,483 41.5 39.1 16.0 31.5 55.3 11.1 0.31 7.46 50,001 to 100,000 ............................ 2,498 35.4 39.1 10.1 27.6 48.8 19.7 0.28 7.90 100,001 to 200,000 .......................... 5,029 36.3 26.1 6.1 23.6 55.2 36.2 0.26 7.19 200,001 to 500,000 ..........................

438

february2008.xls  

Gasoline and Diesel Fuel Update (EIA)

7 7 Section 1. Commentary Electric Power Data While average temperatures prevailed across the majority of the Nation in December 2007, warmer-than-average temperatures in the more heavily populated eastern United States led to a decrease in total heating degree-days for the contiguous U.S. of 3.3 percent below the average for the month of December. However, heating degree days were still 14.5 percent above the level from December 2006, leading to an increase in electricity demand from a year ago. Retail sales of electricity for the month of December 2007 increased 2.1 percent compared to December 2006. The average U.S. retail price of electricity for December 2007 showed a 4.2-percent increase from December 2006 and a 0.8-percent decrease from

439

Attachment B.xls  

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

Competitive Sourcing Studies, 2002-2003 Competitive Sourcing Studies, 2002-2003 (Full-Time Equivalent Positions Under Review) DOE Organization State(s) I n f o r m a t i o n T e c h n o l o g y H u m a n R e s o u r c e s F i n a n c i a l S e r v i c e s P e r s o n n e l S e c u r i t y I n v e s t i g a t i o n s L o g i s t i c s G r a p h i c s C i v i l R i g h t s R e v i e w s P a r a l e g a l S u p p o r t T O T A L Headquarters Office of Management, Budget and Evaluation/CFO MD, DC 6 15 60 86 13 180 Chief Information Officer MD, DC 113 113 Economic Impact and Diversity MD, DC 2 2 8 2 14 Energy Efficiency and Renewable Energy MD, DC 7 1 8 Environment, Safety, and Health MD, DC 7 4 11 Energy Information Administration MD, DC 28 28 Environmental Management MD, DC 22 5 27 General Counsel MD, DC 7 7 Fossil Energy MD, DC 6 2 8 Hearings and Appeals MD, DC 7 7 Inspector General MD, DC 2 1 3 Nuclear Energy Science and Technology MD, DC 1 1 Oversight and Performance Assurance

440

b35.xls  

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

Cooled Cooled 1 to 50 Percent Cooled 51 to 99 Percent Cooled 100 Percent Cooled All Build- ings* Not Cooled 1 to 50 Percent Cooled 51 to 99 Percent Cooled 100 Percent Cooled All Buildings* .................................. 4,645 1,020 985 629 2,011 64,783 7,843 16,598 13,211 27,132 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 710 407 279 1,155 6,789 1,782 1,206 781 3,021 5,001 to 10,000 ................................. 889 157 226 133 374 6,585 1,177 1,704 995 2,710 10,001 to 25,000 ............................... 738 109 225 126 277 11,535 1,612 3,517 2,034 4,372 25,001 to 50,000 ............................... 241 25 64 43 109 8,668 893 2,369 1,479 3,928 50,001 to 100,000 ............................. 129 11 41 25 52 9,057 726 2,926 1,751 3,654 100,001 to 200,000 ...........................

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441

b1.xls  

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

Released: Dec 2006 Next CBECS will be conducted in 2007 Number of Buildings (thousand) Total Floorspace (million square feet) Total Workers in All Buildings (thousand) Mean Square Feet per Building (thousand) Mean Square Feet per Worker Mean Hours per Week All Buildings*................................... 4,645 64,783 72,807 13.9 890 61 Table B1. Summary Table: Total and Means of Floorspace, Number of Workers, and Hours of Operation for Non-Mall Buildings, 2003 Climate Zone: 30-Year Average Under 2,000 CDD and -- More than 7,000 HDD ..................... 855 10,622 10,305 12.4 1,031 60 5,500-7,000 HDD ............................ 1,173 17,335 17,340 14.8 1,000 63 4,000-5,499 HDD ............................ 673 11,504 14,007 17.1 821 66 Fewer than 4,000 HDD ................... 1,276

442

a7.xls  

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

Buildings .................................... Buildings .................................... 4,859 3,754 762 117 47 22 157 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,586 2,131 338 Q Q N 100 5,001 to 10,000 ................................. 948 720 182 Q N Q Q 10,001 to 25,000 ............................... 810 590 140 51 13 Q Q 25,001 to 50,000 ............................... 261 163 54 19 12 Q Q 50,001 to 100,000 ............................. 147 87 29 8 13 4 Q 100,001 to 200,000 ........................... 74 43 13 6 5 4 Q 200,001 to 500,000 ........................... 26 15 5 Q 1 3 Q Over 500,000 .................................... 8 3 1 Q Q 3 Q Principal Building Activity Education .......................................... 386 360 21 Q N N N Food Sales ....................................... 226 203 Q N N Q N Food Service .....................................

443

b46.xls  

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

64,783 64,783 52,974 26,768 20,254 10,425 17,218 38,884 35,335 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 4,333 1,310 916 366 935 3,174 830 5,001 to 10,000 ................................. 6,585 4,738 1,406 909 497 894 3,609 1,407 10,001 to 25,000 ............................... 11,535 8,646 2,230 1,188 614 1,665 6,725 4,072 25,001 to 50,000 ............................... 8,668 7,068 2,829 1,626 676 1,933 5,289 4,910 50,001 to 100,000 ............................. 9,057 8,038 4,291 3,124 1,354 2,438 5,760 6,342 100,001 to 200,000 ........................... 9,064 8,096 5,116 4,148 1,926 3,302 5,667 6,578 200,001 to 500,000 ........................... 7,176 6,238 4,606 4,199 2,034 2,685 4,524 5,691 Over 500,000 .................................... 5,908 5,816 4,979 4,146 2,958

444

c37.xls  

Gasoline and Diesel Fuel Update (EIA)

per per Building (million Btu) per Square Foot (thousand Btu) per Worker (million Btu) per Building (thousand dollars) per Square Foot (dollars) per Thousand Pounds (dollars) All Buildings* .................................. 9,475 116.44 62.2 108.3 1.33 11.43 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... Q Q Q Q Q Q 5,001 to 10,000 ................................. Q Q Q Q Q Q 10,001 to 25,000 ............................... Q Q Q Q Q Q 25,001 to 50,000 ............................... Q Q Q Q Q Q 50,001 to 100,000 ............................. Q Q Q Q Q Q 100,001 to 200,000 ........................... 17,452 118.10 Q Q Q Q 200,001 to 500,000 ........................... 34,658 121.16 143.2 Q Q Q Over 500,000 .................................... 85,182 99.92 52.4 911.2 1.07 10.70 Principal Building Activity

445

c28.xls  

Gasoline and Diesel Fuel Update (EIA)

171 171 210 99 3,593 6,326 2,281 47.6 33.2 43.3 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 23 25 11 346 325 209 66.6 75.3 53.5 5,001 to 10,000 ................................. 13 34 Q 305 620 Q 44.0 54.9 Q 10,001 to 25,000 ............................... 29 28 Q 756 987 565 37.9 28.6 Q 25,001 to 50,000 ............................... 44 17 12 840 714 363 52.6 24.4 Q 50,001 to 100,000 ............................. Q 27 Q Q 806 Q Q 33.1 Q 100,001 to 200,000 ........................... 19 Q Q 512 1,238 Q 37.8 30.8 Q 200,001 to 500,000 ........................... Q 23 Q Q 786 Q Q 28.9 Q Over 500,000 .................................... Q 18 Q Q Q Q Q 21.6 Q Principal Building Activity Education .......................................... 14 25 Q 380 1,274 Q 38.1 19.6 Q Food Sales .......................................

446

c18.xls  

Gasoline and Diesel Fuel Update (EIA)

62 62 210 50 5,328 12,097 3,220 11.7 17.4 15.5 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 10 26 7 821 1,157 472 12.4 22.9 15.5 5,001 to 10,000 ................................. 7 18 4 666 1,308 359 10.7 13.9 12.0 10,001 to 25,000 ............................... 8 27 11 1,164 2,207 791 7.3 12.2 14.2 25,001 to 50,000 ............................... 15 24 5 949 1,672 442 16.1 14.4 10.9 50,001 to 100,000 ............................. 8 25 10 642 1,470 650 12.8 16.7 14.8 100,001 to 200,000 ........................... 8 39 Q 614 2,087 Q 12.3 18.9 Q 200,001 to 500,000 ........................... Q 22 Q Q 1,072 Q Q 20.4 Q Over 500,000 .................................... Q 29 Q Q 1,123 Q Q 25.6 Q Principal Building Activity Education .......................................... 5 39 Q 549 2,445 Q 8.8 16.0 Q Food Sales .......................................

447

Grantsdown.xls  

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

American Recovery and Reinvestment Act American Recovery and Reinvestment Act Funding Opportunity Announcement Table TITLE FOA # Demonstration of Integrated Biorefinery Operations DE-FOA-0000096 Expansion of Infrastructure for Ethanol Blends DE-FOA-0000125 Development of Algal / Advanced Biofuels Consortia DE-FOA-0000123 Geothermal Technologies Program: Ground Source Heat Pumps DE-FOA-0000116 Enhanced Geothermal Systems Component Research and Development/Analysis DE-FOA-0000075 Geothermal Technologies Program: Validation of Innovative Exploration Technologies; Geothermal Energy Production; Geothermal Data Development, Collection, and Maintenance DE-FOA-0000109 Enhanced Geothermal Systems Demonstrations DE-FOA-0000092 Hydroelectric Facility Modernization DE-FOA-0000120

448

september2007.xls  

Gasoline and Diesel Fuel Update (EIA)

July 2007 Section 1. Commentary Electric Power Data According to the National Oceanic and Atmospheric Administration (NOAA), July 2007 brought record warmth to many of the states in the western U.S. However, cooler than average temperatures observed in the heavily populated eastern half of the country kept residential energy demand in the contiguous United States close to normal, with cooling degree days 1.2 percent below the average for the month of July. Due to the below normal temperatures observed in the heavily populated eastern United States, July 2007 electricity generation and retail sales of electricity were down when compared to July 2006. Retail sales of electricity was 1.6 percent lower when compared to July 2006, with residential retail sales decreasing the most at 4.9 percent. Furthermore, generation for electric

449

a1.xls  

Gasoline and Diesel Fuel Update (EIA)

2003 Commercial Buildings 2003 Commercial Buildings Energy Consumption Survey Detailed Tables October 2006 Energy Information Administration 2003 Commercial Buildings Energy Consumption Survey Detailed Tables Introduction................................................................................................................................ vii Change in Data Collection Procedures in Malls ........................................................................ viii Guide to the 2003 CBECS Detailed Tables............................................................................... ix Building Characteristics Tables All Buildings (Including Malls) Table A1. Summary Table for All Buildings (Including Malls) ............................................... 1 Table A2. Census Region, Number of Buildings and Floorspace for All Buildings

450

c19.xls  

Gasoline and Diesel Fuel Update (EIA)

14 14 56 96 7,449 3,633 7,397 15.3 15.4 13.0 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 17 7 12 696 437 857 24.1 15.7 14.0 5,001 to 10,000 ................................. 11 5 14 787 404 810 13.4 12.0 16.9 10,001 to 25,000 ............................... 11 10 13 1,267 831 1,232 8.9 11.7 10.3 25,001 to 50,000 ............................... 12 7 12 897 511 1,088 13.6 13.2 11.0 50,001 to 100,000 ............................. 16 5 12 1,314 374 922 12.1 12.7 13.3 100,001 to 200,000 ........................... 20 Q 13 1,096 Q 895 18.2 Q 14.5 200,001 to 500,000 ........................... 12 5 11 659 Q 827 18.4 14.3 13.5 Over 500,000 .................................... Q Q 9 Q Q 766 Q Q 12.4 Principal Building Activity Education .......................................... 15 6 11 1,198 640 1,027 12.8 9.4

451

P3.xls  

Gasoline and Diesel Fuel Update (EIA)

P3. Energy Production and Consumption Estimates in Trillion Btu, 2011 P3. Energy Production and Consumption Estimates in Trillion Btu, 2011 Alabama 1,401 1,931 530 Alaska 1,642 638 -1,004 Arizona 618 1,431 814 Arkansas 1,390 1,117 -273 California 2,625 7,858 5,234 Colorado 2,747 1,481 -1,266 Connecticut 197 742 545 Delaware 4 272 268 District of Columbia 0 180 180 Florida 524 4,217 3,693 Georgia 544 3,002 2,458 Hawaii 19 286 267 Idaho 180 526 345 Illinois 2,200 3,978 1,777 Indiana 1,063 2,869 1,806 Iowa 701 1,513 812 Kansas 780 1,162 382 Kentucky 2,841 1,911 -929 Louisiana 3,976 4,055 79 Maine 154 413 258 Maryland 273 1,426 1,153 Massachusetts 101 1,395 1,294 Michigan 673 2,803 2,130 Minnesota 429 1,867 1,438 Mississippi 441 1,163 723 Missouri 200 1,878 1,678 Montana 1,105 398 -707 Nebraska 397 871 475 Nevada 54 633 579 New Hampshire 130 292 162 New Jersey 387 2,438 2,052 New Mexico 2,261 688 -1,573 New York 873 3,615 2,742 North Carolina

452

c3.xls  

Gasoline and Diesel Fuel Update (EIA)

trillion trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) per Worker (million Btu) All Buildings* .................................. 4,645 64,783 13.9 5,820 1,253 89.8 79.9 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 6,789 2.7 672 263 98.9 67.6 5,001 to 10,000 ................................. 889 6,585 7.4 516 580 78.3 68.7 10,001 to 25,000 ............................... 738 11,535 15.6 776 1,052 67.3 72.0 25,001 to 50,000 ............................... 241 8,668 35.9 673 2,790 77.6 75.8 50,001 to 100,000 ............................. 129 9,057 70.4 759 5,901 83.8 90.0 100,001 to 200,000 ........................... 65 9,064 138.8 934 14,300 103.0 80.3 200,001 to 500,000 ........................... 25 7,176 289.0 725 29,189 101.0 105.3 Over 500,000 ....................................

453

september2010.xls  

Gasoline and Diesel Fuel Update (EIA)

July 2010 July 2010 Section 1. Commentary Electric Power Data The contiguous United States, as a whole, experienced temperatures that were significantly above average in July 2010. Accordingly, the total population-weighted cooling degree days for the United States were 19.9 percent above the July normal. Retail sales of electricity increased 9.5 percent compared to July 2009. Over the same period, the average U.S. retail price of electricity increased 1.3 percent. For the 12-month period ending July 2010, the U.S. average retail price of electricity decreased 1.4 percent over the previous 12-month period ending July 2009. In July 2010, total electric power generation in the United States increased 9.2 percent compared to July 2009. Over the same period, coal generation increased 12.4 percent, and natural gas generation increased 11.4 percent. Petroleum

454

february2006.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: December 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

455

c1.xls  

Gasoline and Diesel Fuel Update (EIA)

October 2006 October 2006 Next CBECS will be conducted in 2007 Primary Site All Buildings* .................................. 4,645 64,783 5,820 9,168 3,037 1,928 222 634 District Heat Table C1. Total Energy Consumption by Major Fuel for Non-Mall Buildings, 2003 All Buildings* Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil Climate Zone: 30-Year Average Under 2,000 CDD and -- More than 7,000 HDD ..................... 855 10,622 990 1,232 408 431 63 88 5,500-7,000 HDD ............................ 1,173 17,335 1,761 2,305 763 679 63 255 4,000-5,499 HDD ............................ 673 11,504 1,134 1,713 567 337 90 140 Fewer than 4,000 HDD ................... 1,276 15,739 1,213 2,259 748 358 6 101 2,000 CDD or More and --

456

february2007.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: December 2006 Section 1. Commentary Electric Power Data The National Oceanic and Atmospheric Administration (NOAA) Climatic Data Center reports 2006 as the warmest year on record for the contiguous United States, with El Niño contributing to milder winter temperatures. NOAA also reports that December 2006 was the fourth warmest December since 1895. (For more information see http://www.noaanews.noaa.gov/stories2007/s2772.htm.) As a consequence of the warmer weather, December 2006 generation lagged behind the December 2005 generation by 3.6 percent, although it increased 8.7 percent from November 2006. Mirroring generation, December 2006 retail sales of electricity were up 8.4

457

c29.xls  

Gasoline and Diesel Fuel Update (EIA)

51 51 162 149 4,704 2,797 5,016 32.2 57.9 29.7 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 29 18 Q 334 265 363 87.9 68.4 60.2 5,001 to 10,000 ................................. 23 Q Q 519 Q 496 44.2 Q 53.4 10,001 to 25,000 ............................... 14 38 22 514 630 748 28.1 61.1 29.0 25,001 to 50,000 ............................... 17 23 21 512 464 733 33.5 49.1 28.7 50,001 to 100,000 ............................. 18 Q 18 888 Q 730 20.5 Q 24.2 100,001 to 200,000 ........................... 16 Q 12 760 Q 651 21.5 Q 17.8 200,001 to 500,000 ........................... Q Q 14 470 Q 675 Q Q 20.8 Over 500,000 .................................... Q Q Q Q Q Q Q Q Q Principal Building Activity Education .......................................... 16 21 28 797 420 802 20.6 48.8 34.8 Food Sales .......................................

458

P5.xls  

Gasoline and Diesel Fuel Update (EIA)

P5. Energy Production Estimates in Trillion Btu, Ranked by State, 2011 P5. Energy Production Estimates in Trillion Btu, Ranked by State, 2011 Rank State State State State United States 22,057.2 United States d 26,489.9 United States e 11,965.0 United States 8,268.7 1 Wyoming 7,591.7 Texas 8,047.4 Texas 3,082.8 Illinois 1,002.7 2 West Virginia 3,321.1 Louisiana 3,240.2 Alaska 1,188.0 Pennsylvania 796.8 3 Kentucky 2,623.8 Wyoming 2,384.4 California 1,123.4 South Carolina 553.6 4 Pennsylvania 1,511.5 Oklahoma 2,163.4 North Dakota 887.3 New York 446.8 5 Illinois 864.2 Colorado 1,831.2 Oklahoma 444.8 North Carolina 424.1 6 Indiana 841.0 New Mexico 1,405.2 New Mexico 413.4 Texas 414.9 7 Montana 746.7 Pennsylvania 1,375.6 Louisiana 400.1 Alabama 411.8 8 Ohio 679.2 Arkansas 1,090.9 Wyoming 317.3 California 383.6 9 Texas 605.3 Utah 498.0 Kansas 240.7 New Jersey 351.7 10 Colorado 586.8 West Virginia 442.4 Colorado 226.9

459

june2007.xls  

Gasoline and Diesel Fuel Update (EIA)

April 2007 Section 1. Commentary Electric Power Data The overall temperature for the contiguous U.S. during April 2007 was 0.3ºF (0.2ºC) below the average temperature observed for the month of April over the 1971-2000 time period. A record cold outbreak was observed from April 4th to April 10th as record low temperatures were set in 1,200 locations across the contiguous U.S. before warmer weather returned later in the month. This cold snap was evident in the fact that heating degree days were 10.7 percent higher than normal as observed over the 1971-2000 time period, and 44.7 percent higher than what was recorded in April 2006. Consequently, retail sales of electricity for the month of April 2007 increased 2.7 percent compared to April 2006, while April 2007

460

b25.xls  

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

Space Space Heating Cooling Water Heating Cooking Manu- facturing All Buildings* .................................. 64,783 60,028 56,940 56,478 22,237 3,138 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 5,668 5,007 4,759 997 Q 5,001 to 10,000 ................................. 6,585 5,786 5,408 5,348 1,136 214 10,001 to 25,000 ............................... 11,535 10,387 9,922 9,562 1,954 472 25,001 to 50,000 ............................... 8,668 8,060 7,776 7,734 2,511 Q 50,001 to 100,000 ............................. 9,057 8,718 8,331 8,412 3,575 540 100,001 to 200,000 ........................... 9,064 8,710 8,339 8,300 3,991 473 200,001 to 500,000 ........................... 7,176 6,907 6,565 6,680 4,047 605 Over 500,000 .................................... 5,908 5,792

Note: This page contains sample records for the topic "inventory forms xls" 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

b13.xls  

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

4,645 4,645 824 277 71 370 622 597 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 503 119 37 152 434 294 5,001 to 10,000 ................................. 889 127 67 Q 104 100 110 10,001 to 25,000 ............................... 738 116 69 Q 83 66 130 25,001 to 50,000 ............................... 241 43 9 Q 27 17 27 50,001 to 100,000 ............................. 129 17 7 Q Q Q 21 100,001 to 200,000 ........................... 65 11 6 Q Q Q 8 200,001 to 500,000 ........................... 25 5 Q Q Q Q 4 Over 500,000 .................................... 7 2 Q Q N Q Q Year Constructed Before 1920 ...................................... 330 70 31 Q 65 Q 20 1920 to 1945 ..................................... 527 85 36 Q 52 90 39 1946 to 1959 ..................................... 562 75 45 Q 58 59 44 1960 to 1969 .....................................

462

b19.xls  

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

4,645 4,645 3,754 643 55 23 14 157 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,131 311 Q Q N 100 5,001 to 10,000 ................................. 889 720 136 Q N Q Q 10,001 to 25,000 ............................... 738 590 104 22 Q Q Q 25,001 to 50,000 ............................... 241 163 50 11 Q Q Q 50,001 to 100,000 ............................. 129 87 25 4 5 Q Q 100,001 to 200,000 ........................... 65 43 11 4 Q Q Q 200,001 to 500,000 ........................... 25 15 5 Q 1 2 Q Over 500,000 .................................... 7 3 1 Q Q 1 Q Principal Building Activity Education .......................................... 386 360 21 Q N N N Food Sales ....................................... 226 203 Q N N Q N Food Service ..................................... 297 270 26 Q N N N Health Care .......................................

463

b32.xls  

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

64,783 64,783 56,478 27,490 28,820 1,880 3,088 1,422 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 4,759 2,847 1,699 116 N 169 5,001 to 10,000 ................................. 6,585 5,348 2,821 2,296 Q Q 205 10,001 to 25,000 ............................... 11,535 9,562 4,809 4,470 265 Q 430 25,001 to 50,000 ............................... 8,668 7,734 3,924 4,055 Q Q Q 50,001 to 100,000 ............................. 9,057 8,412 3,659 5,005 Q 303 Q 100,001 to 200,000 ........................... 9,064 8,300 3,884 4,754 Q 822 Q 200,001 to 500,000 ........................... 7,176 6,680 2,722 4,076 Q 621 Q Over 500,000 .................................... 5,908 5,683 2,824 2,467 Q 1,064 N Principal Building Activity Education .......................................... 9,874 9,481 3,829

464

a1.xls  

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

Number of Buildings RSEs for Total Floorspace RSEs for Mean Square Feet per Building RSEs Not Available for Medians All Buildings .................................... 3.8 3.1 4.0 _ Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 5.7 5.6 1.3 _ 5,001 to 10,000 ................................. 5.6 5.5 0.8 _ 10,001 to 25,000 ............................... 4.9 4.9 0.9 _ 25,001 to 50,000 ............................... 5.5 5.8 1.2 _ 50,001 to 100,000 ............................. 6.1 6.0 1.0 _ 100,001 to 200,000 ........................... 9.9 10.0 1.5 _ 200,001 to 500,000 ........................... 9.8 10.2 1.8 _ Over 500,000 .................................... 12.6 12.8 4.2 _ Principal Building Activity Education .......................................... 7.1

465

b8.xls  

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

4,645 4,645 330 527 562 579 731 707 876 334 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 174 315 331 298 350 438 481 165 5,001 to 10,000 ................................. 889 71 107 90 120 180 98 158 66 10,001 to 25,000 ............................... 738 55 64 90 95 122 103 151 58 25,001 to 50,000 ............................... 241 19 23 26 33 48 32 39 21 50,001 to 100,000 ............................. 129 7 9 14 22 16 20 28 13 100,001 to 200,000 ........................... 65 Q 5 8 8 10 10 15 8 200,001 to 500,000 ........................... 25 Q 4 2 3 4 4 4 2 Over 500,000 .................................... 7 Q 1 1 0 1 2 1 Q Principal Building Activity Education .......................................... 386 12 26 78 60 58 44 75 32 Food Sales ....................................... 226 Q Q Q Q Q 33 56 Q Food Service .....................................

466

b30.xls  

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

District Chilled Water Elec- tricity Natural Gas District Chilled Water All Buildings* .................................. 4,645 3,625 3,589 17 33 64,783 56,940 54,321 1,018 2,853 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 1,841 1,838 Q Q 6,789 5,007 4,994 Q Q 5,001 to 10,000 ................................. 889 732 727 Q Q 6,585 5,408 5,367 Q Q 10,001 to 25,000 ............................... 738 629 618 Q Q 11,535 9,922 9,743 Q Q 25,001 to 50,000 ............................... 241 216 211 Q 6 8,668 7,776 7,557 Q 240 50,001 to 100,000 ............................. 129 118 114 Q 5 9,057 8,331 8,086 Q 332 100,001 to 200,000 ........................... 65 60 55 Q 6 9,064 8,339 7,657 Q 793 200,001 to 500,000 ........................... 25 23 21 Q 2 7,176 6,565 6,112 Q 495 Over 500,000 ....................................

467

a4.xls  

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

East East South Central West South Central Mountain Pacific All Buildings .................................... 71,658 3,452 10,543 12,424 5,680 13,999 3,719 9,022 4,207 8,613 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,922 383 676 986 922 1,283 547 788 466 871 5,001 to 10,000 ................................. 7,033 369 800 939 738 1,468 420 957 465 878 10,001 to 25,000 ............................... 12,659 674 1,448 2,113 1,204 2,443 861 1,555 933 1,429 25,001 to 50,000 ............................... 9,382 366 1,022 1,763 949 1,867 545 1,062 568 1,239 50,001 to 100,000 ............................. 10,291 590 1,682 1,712 664 1,797 749 1,514 492 1,092 100,001 to 200,000 ........................... 10,217 448 1,790 1,872 614 2,422 Q 1,426 346 1,007 200,001 to 500,000 ...........................

468

table3.xls  

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

29.3 29.3 137.3 147.5 151.2 156.8 191.0 Household Characteristics Census Region and Division Northeast............................................................... 23.9 NA 26.6 27.0 26.6 31.7 New England........................................................ 6.6 NA 6.6 6.5 7.6 10.0 Middle Atlantic ..................................................... 17.3 NA 20.1 20.5 19.0 21.7 Midwest ................................................................. 32.5 NA 37.8 38.4 41.1 47.1 East North Central............................................... 21.3 NA 26.0 27.6 29.0 32.4 West North Central ............................................. 11.3 NA 11.8 10.8 12.1 14.7 South..................................................................... 45.1 NA 50.6 52.7 56.0 70.2 South Atlantic.......................................................

469

b44.xls  

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

64,783 64,783 62,060 38,528 59,688 27,571 20,643 17,703 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 6,038 2,918 5,579 1,123 312 604 5,001 to 10,000 ................................. 6,585 6,090 3,061 5,726 1,109 686 781 10,001 to 25,000 ............................... 11,535 11,229 6,424 10,458 2,944 1,721 1,973 25,001 to 50,000 ............................... 8,668 8,297 5,176 8,001 3,662 2,191 2,013 50,001 to 100,000 ............................. 9,057 8,912 5,296 8,667 4,330 3,646 2,599 100,001 to 200,000 ........................... 9,064 8,732 6,042 8,612 5,268 4,349 3,473 200,001 to 500,000 ........................... 7,176 6,946 4,913 6,839 4,610 3,918 2,775 Over 500,000 .................................... 5,908 5,816 4,698 5,806 4,526 3,819 3,485 Principal Building Activity

470

b21.xls  

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

Buildings Buildings With Central Physical Plant All Buildings With Central Physical Plant All Buildings* .................................. 4,645 1,477 116 64,783 24,735 6,604 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 771 Q 6,789 2,009 Q 5,001 to 10,000 ................................. 889 259 Q 6,585 1,912 Q 10,001 to 25,000 ............................... 738 263 33 11,535 4,158 520 25,001 to 50,000 ............................... 241 92 18 8,668 3,277 630 50,001 to 100,000 ............................. 129 49 13 9,057 3,381 911 100,001 to 200,000 ........................... 65 28 12 9,064 3,935 1,723 200,001 to 500,000 ........................... 25 13 5 7,176 3,568 1,438 Over 500,000 .................................... 7 3 2 5,908 2,494 1,235 Principal Building Activity

471

b39.xls  

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

64,783 64,783 60,028 8,814 19,615 12,545 5,166 20,423 18,021 3,262 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 5,668 685 2,902 1,047 Q 461 1,159 330 5,001 to 10,000 ................................. 6,585 5,786 462 2,891 1,282 Q 773 1,599 Q 10,001 to 25,000 ............................... 11,535 10,387 1,400 4,653 2,129 289 2,164 2,765 456 25,001 to 50,000 ............................... 8,668 8,060 1,150 2,761 1,748 325 2,829 2,449 419 50,001 to 100,000 ............................. 9,057 8,718 1,524 2,086 1,819 549 3,497 3,328 450 100,001 to 200,000 ........................... 9,064 8,710 1,245 1,974 1,625 1,365 4,283 2,797 Q 200,001 to 500,000 ........................... 7,176 6,907 1,295 1,456 1,313 1,010 3,844 2,156 514 Over 500,000 .................................... 5,908 5,792

472

June2010.XLS  

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

-2008 -2008 2009 2010 2011 CHIEF FINANCIAL OFFICER Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 1. Federal Loan Guarantee for Mississippi Integrated Gasification Combined Cycle, Moss Point, MS (DOE/EIS-0428) 2. Federal Loan Guarantee for Indiana Integrated Gasification Combined Cycle, Rockport, IN (DOE/EIS-0429) 3. Federal Loan Guarantee to Support Construction of the Taylorville Energy Center, Taylorville, IL (DOE/EIS-0430) 4. Federal Loan Guarantee for the Medicine Bow Fuel and Power Coal-to-Liquid Facility, Carbon County, WY (DOE/EIS-0432) ELECTRICITY DELIVERY AND ENERGY RELIABILITY 5. Presidential Permit Application, Energia Sierra Juarez

473

july2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Section 1. Commentary Electric Power Data Monthly Flash Estimates of Data for: April 2006 The weather through April 2006 continued to be warmer than in 2005. Year-to-date heating degree days were down almost 9.3 percent through April. For April alone heating degree days were down 13.8 percent from last year and were 24.0 percent lower than normal. Cooling degree days for April 2006 were 97 percent higher than last year, although April is not a significant month for space heating.

474

c12.xls  

Gasoline and Diesel Fuel Update (EIA)

1,488 1,488 2,794 1,539 17,685 29,205 17,893 84.1 95.7 86.0 Building Floorspace (Square Feet) 1,001 to 5,000 ................................. 191 290 190 2,146 2,805 1,838 89.1 103.5 103.5 5,001 to 10,000 ............................... 131 231 154 1,972 2,917 1,696 66.2 79.2 91.0 10,001 to 25,000 ............................. 235 351 191 3,213 4,976 3,346 73.1 70.5 57.0 25,001 to 50,000 ............................. 172 328 173 2,449 4,128 2,091 70.4 79.4 82.5 50,001 to 100,000 ............................ 150 380 228 2,060 4,018 2,979 73.0 94.6 76.7 100,001 to 200,000 .......................... 214 438 281 2,124 3,947 2,993 100.7 111.1 94.0 200,001 to 500,000 .......................... 219 354 152 2,155 3,427 1,593 101.7 103.2 95.3 Over 500,000 ................................... 176 421 Q 1,566 2,986 1,357 112.1 141.2 Q Principal Building Activity

475

c2.xls  

Gasoline and Diesel Fuel Update (EIA)

Buildings* .................................. Buildings* .................................. 4,645 64,783 92,577 69,032 14,525 1,776 7,245 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 6,789 12,812 10,348 2,155 292 Q 5,001 to 10,000 ................................. 889 6,585 9,398 7,296 1,689 307 Q 10,001 to 25,000 ............................... 738 11,535 13,140 10,001 2,524 232 Q 25,001 to 50,000 ............................... 241 8,668 10,392 7,871 1,865 127 Q 50,001 to 100,000 ............................. 129 9,057 11,897 8,717 1,868 203 Q 100,001 to 200,000 ........................... 65 9,064 13,391 9,500 1,737 272 Q 200,001 to 500,000 ........................... 25 7,176 10,347 7,323 1,343 272 Q Over 500,000 .................................... 7 5,908 11,201 7,977 1,344 71 1,810 Principal Building Activity

476

c11.xls  

Gasoline and Diesel Fuel Update (EIA)

Buildings* ................................. Buildings* ................................. 1,188 2,208 2,425 13,374 29,260 22,149 88.8 75.5 109.5 Principal Building Activity Education ........................................ 63 423 334 808 5,378 3,687 78.3 78.6 90.7 Food Sales ...................................... 144 Q Q 765 467 Q 188.5 Q Q Food Service ................................... 318 108 Q 986 664 Q 322.9 163.2 Q Health Care ..................................... 32 104 457 445 835 1,883 71.8 125.1 242.9 Inpatient ........................................ N Q 436 N 182 1,723 N Q 252.9 Outpatient ...................................... 32 66 Q 445 652 160 71.8 100.5 Q Lodging ........................................... 29 207 273 260 2,274 2,563 111.0 91.2 106.7 Retail (Other Than Mall)................... 110 137 72 1,363 2,133 821 80.9 64.1 87.8 Office ...............................................

477

c17.xls  

Gasoline and Diesel Fuel Update (EIA)

32 32 116 153 2,942 9,867 11,373 10.8 11.7 13.5 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 4 9 20 345 652 908 12.7 13.8 22.0 5,001 to 10,000 ................................. 3 7 8 350 732 781 7.7 9.6 10.7 10,001 to 25,000 ............................... Q 16 20 Q 1,390 1,934 Q 11.2 10.5 25,001 to 50,000 ............................... Q 8 16 Q 944 1,534 Q 8.5 10.4 50,001 to 100,000 ............................. Q 15 21 Q 1,524 1,618 Q 10.2 12.9 100,001 to 200,000 ........................... Q 17 26 Q 1,703 1,671 Q 10.1 15.5 200,001 to 500,000 ........................... Q 22 24 Q 1,673 1,801 Q 13.1 13.1 Over 500,000 .................................... Q 22 18 Q 1,248 1,126 Q 17.3 16.4 Principal Building Activity Education .......................................... Q 12 16 Q 1,384 1,990 Q 8.4 7.9 Food Sales .......................................

478

march2007.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: January 2007 Section 1. Commentary Electric Power Data According to the National Oceanic and Atmospheric Administration (NOAA) Climatic Data Center, after "the 11th record warmest December on record in 2006", more typical winter conditions returned, particularly in the Eastern United States, in the latter part of January 2007. For the month, heating degree days were 26.1 percent higher than January 2006, but still 8.9 percent lower than normal. In January 2007, increased demand for winter heating, coupled with economic strength, as observed by growth in industrial production, resulted in a 7.7 percent growth in electricity generation compared to January 2006. (Industrial production increased 1.92

479

c38.xls  

Gasoline and Diesel Fuel Update (EIA)

Worker Worker (million Btu) per Building (thousand dollars) per Square Foot (dollars) per Thousand Pounds (dollars) All Buildings* .................................. 9,475 116.44 62.2 108.3 1.33 11.43 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... Q Q Q Q Q Q 5,001 to 10,000 ................................. Q Q Q Q Q Q 10,001 to 25,000 ............................... Q Q Q Q Q Q 25,001 to 50,000 ............................... Q Q Q Q Q Q 50,001 to 100,000 ............................. Q Q Q Q Q Q 100,001 to 200,000 ........................... 17,452 118.10 Q Q Q Q 200,001 to 500,000 ........................... 34,658 121.16 143.2 Q Q Q Over 500,000 .................................... 85,182 99.92 52.4 911.2 1.07 10.70 Principal Building Activity Education ..........................................

480

c6.xls  

Gasoline and Diesel Fuel Update (EIA)

21,344 21,521 31,595 18,118 16.79 12.74 16.22 19.88 1.65 1.26 1.35 1.60 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,298 3,235 4,752 2,526 19.47 15.74 19.77 23.48 2.24 1.71 1.88 1.89 5,001 to 10,000 .............................. 1,806 1,694 3,368 2,529 17.72 14.50 18.24 22.49 1.61 1.08 1.27 2.04 10,001 to 25,000 ............................ 2,606 3,157 4,530 2,846 17.56 13.85 18.09 19.03 1.32 1.02 1.03 1.36 25,001 to 50,000 ............................ 1,768 3,033 3,422 2,170 16.61 12.27 16.67 19.02 1.37 1.18 1.08 1.32 50,001 to 100,000 .......................... 3,479 2,592 3,959 1,866 17.16 12.25 15.52 20.88 1.71 1.15 1.15 1.41 100,001 to 200,000 ......................... 3,292 3,029 5,328 1,743 15.74 12.02 14.20 17.92 1.55 1.32 1.53 1.48 200,001 to 500,000 ......................... 2,877 2,798

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


481

august2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: June 2006 Section 1. Commentary Electric Power Data According to the National Climatic Data Center, the first half of 2006 was the warmest on record in the U.S. since recordkeeping began in 1895. Year-to-date cooling degree days through June 2006 were 11.7% higher than in 2005, and June cooling degree days were 12.7 percent higher than normal. As a result, retail sales of electricity through June were up 1.0 percent year-to-date, and increased 1.1 percent compared to June 2005. The average retail price of electricity was up 11.3 percent year-to-date, largely due to higher fuel prices. Year-to-date net generation through June was 0.7 percent higher than in 2005. June 2006 generation was up 0.5 percent compared

482

P1.xls  

Gasoline and Diesel Fuel Update (EIA)

P1. Energy Production Estimates in Physical Units, 2011 P1. Energy Production Estimates in Physical Units, 2011 Alabama 19,381 195,581 8,374 0 Alaska 2,149 356,225 204,829 0 Arizona 8,111 168 37 1,345 Arkansas 133 1,072,212 5,877 0 California 0 250,177 193,691 4,321 Colorado 26,890 1,637,576 39,125 3,057 Connecticut 0 0 0 0 Delaware 0 0 0 0 District of Columbia 0 0 0 0 Florida 0 15,125 2,023 0 Georgia 0 0 0 2,456 Hawaii 0 0 0 0 Idaho 0 0 0 1,321 Illinois 37,938 2,121 9,234 30,068 Indiana 37,544 9,075 1,987 22,547 Iowa 0 0 0 87,314 Kansas 37 309,124 41,503 10,676 Kentucky 108,971 124,243 2,326 866 Louisiana 3,865 3,029,206 68,984 37 Maine 0 0 0 0 Maryland 2,937 34 0 0 Massachusetts 0 0 0 0 Michigan 0 138,162 6,977 6,543 Minnesota 0 0 0 27,536 Mississippi 2,747 81,487 24,216 1,321 Missouri 465 0 118 6,261 Montana 42,008 74,624 24,151 0 Nebraska 0 1,959 2,542 47,120 Nevada 0 3 408 0 New Hampshire 0 0 0 0 New Jersey 0 0 0 0 New Mexico 21,922 1,237,303 71,274

483

january2007.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: November 2006 Section 1. Commentary Electric Power Data November is typically the month when generation reaches a trough before the winter season heating demand picks up in December. November 2006 was also warmer than normal and the heating degree days were 12.9 percent lower than normal. Consequently, total net generation in November 2006 was down 3.9 percent from October 2006, but was up 0.8 percent from November 2005. Similarly, retail sales of electricity in November 2006 were down 4.8 percent from October 2006, but were up 0.8 percent from November 2005. Year-to-date, through November 2006, total net generation rose 0.3 percent and retail sales of electricity were up 0.4 percent,

484

c20.xls  

Gasoline and Diesel Fuel Update (EIA)

120 120 224 166 219 161 10,393 17,076 11,375 15,172 9,290 11.5 13.1 14.6 14.5 17.3 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 19 26 14 31 23 1,204 1,595 918 1,759 871 15.7 16.5 14.9 17.8 26.3 5,001 to 10,000 .............................. 11 17 12 24 13 1,124 1,547 950 1,738 839 9.9 10.9 12.8 13.7 15.3 10,001 to 25,000 ............................ 18 29 23 25 24 2,183 3,140 1,402 2,822 1,823 8.3 9.2 16.1 9.0 13.3 25,001 to 50,000 ............................ 18 24 15 25 22 1,451 2,199 1,272 2,027 1,435 12.2 10.8 11.6 12.3 15.1 50,001 to 100,000 .......................... 15 32 24 28 19 1,295 2,549 1,823 2,037 1,327 11.8 12.6 13.2 13.8 14.3 100,001 to 200,000 ......................... 15 40 24 41 22 1,206 2,641 1,752 2,259 1,160 12.4 15.3 13.5 17.9 18.8 200,001 to 500,000 ......................... 14 27 21 25 19 1,115 1,943 1,619

485

november2005.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Section 1. Commentary Electric Power Data

486

april2005.xls  

Gasoline and Diesel Fuel Update (EIA)

February February 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Stan Kaplan at 202-287-1803, or at stan.kaplan@eia.doe.gov. * Change in total consumption or generation for the latest 12 month period (March 2004 to February 2005) compared to the prior 12 month period ( March 2003 to February 2004). Latest 12 Month Period* 6.0% 0.8% n/a Year to Date: -2.9% -1.4% n/a February 2004 -11.9% -2.7% -8.4% January 2005

487

c7.xls  

Gasoline and Diesel Fuel Update (EIA)

294 294 978 1,254 2,964 9,941 11,595 99.0 98.3 108.1 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 33 85 146 360 666 974 91.2 128.1 149.7 5,001 to 10,000 ................................. Q 64 73 359 764 843 Q 83.7 86.8 10,001 to 25,000 ............................... Q 115 163 553 1,419 1,934 Q 81.2 84.3 25,001 to 50,000 ............................... Q 74 140 347 944 1,618 Q 78.7 86.8 50,001 to 100,000 ............................. Q 134 148 516 1,524 1,618 Q 87.8 91.5 100,001 to 200,000 ........................... Q 150 203 414 1,703 1,682 Q 87.9 120.8 200,001 to 500,000 ........................... Q 177 214 Q 1,673 1,801 Q 105.8 118.8 Over 500,000 .................................... Q Q Q Q 1,248 1,126 Q Q Q Principal Building Activity Education .......................................... Q 143

488

c35.xls  

Gasoline and Diesel Fuel Update (EIA)

65 65 170 104 63 6,080 2,832 4,122 2,123 0.21 0.06 0.03 Q Building Floorspace (Square Feet) 1,001 to 10,000 ............................... 381 Q Q Q 757 Q 255 Q 0.50 Q 0.10 Q 10,001 to 100,000 ........................... 375 63 Q Q 1,704 643 833 351 0.22 0.10 Q Q Over 100,000 .................................. 509 20 44 Q 3,618 1,983 3,034 1,673 0.14 0.01 0.01 Q Principal Building Activity Education ........................................ 282 Q Q Q 933 Q Q Q 0.30 Q Q Q Health Care...................................... Q Q 17 7 Q 492 786 262 Q Q 0.02 0.03 Office .............................................. 105 6 14 1 1,379 714 1,235 748 0.08 0.01 0.01 0.00 All Others ........................................ 837 Q 44 40 3,426 1,281 1,644 984 0.24 Q 0.03 Q Year Constructed 1945 or Before ................................ 555 Q Q Q 2,126 Q Q Q 0.26 Q Q Q 1946 to 1959 ...................................

489

c24.xls  

Gasoline and Diesel Fuel Update (EIA)

Buildings* ................................. Buildings* ................................. 782 43.0 36.0 17.6 37.1 70.9 6.1 0.33 7.77 Building Floorspace (Square Feet) 1,001 to 5,000 ................................. 219 78.7 42.6 23.7 46.3 92.0 1.9 0.70 8.88 5,001 to 10,000 ............................... 408 54.8 42.5 13.9 28.8 65.7 3.4 0.46 8.34 10,001 to 25,000 ............................. 667 42.5 40.8 14.4 29.2 52.1 5.6 0.36 8.41 25,001 to 50,000 ............................. 1,483 41.5 39.1 16.0 31.5 55.3 11.1 0.31 7.46 50,001 to 100,000 ............................ 2,498 35.4 39.1 10.1 27.6 48.8 19.7 0.28 7.90 100,001 to 200,000 .......................... 5,029 36.3 26.1 6.1 23.6 55.2 36.2 0.26 7.19 200,001 to 500,000 .......................... 10,234 35.0 35.5 10.0 22.7 47.2 69.2 0.24 6.76 Over 500,000 ................................... 39,551 43.0 28.8 2.8 20.0

490

c27.xls  

Gasoline and Diesel Fuel Update (EIA)

73 73 343 512 1,465 7,716 9,570 49.5 44.4 53.5 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... Q 41 68 Q 417 729 Q 99.5 93.6 5,001 to 10,000 ................................. Q 31 43 Q 482 654 Q 64.8 66.0 10,001 to 25,000 ............................... Q 45 90 Q 931 1,681 Q 47.9 53.6 25,001 to 50,000 ............................... Q 39 70 Q 829 1,422 Q 47.4 49.5 50,001 to 100,000 ............................. Q 43 73 Q 1,263 1,554 Q 34.1 47.2 100,001 to 200,000 ........................... Q 41 67 Q 1,445 1,264 Q 28.3 52.7 200,001 to 500,000 ........................... Q 55 56 Q 1,484 1,277 Q 37.3 44.1 Over 500,000 .................................... Q 47 44 Q 865 989 Q 54.0 44.4 Principal Building Activity Education .......................................... Q 49 99 Q 1,247 1,804 Q 39.5 54.6 Food Sales .......................................

491

c4.xls  

Gasoline and Diesel Fuel Update (EIA)

Buildings* .................................. Buildings* .................................. 4,645 64,783 13.9 92,577 19.9 1.43 15.91 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 6,789 2.7 12,812 5.0 1.89 19.08 5,001 to 10,000 ................................. 889 6,585 7.4 9,398 10.6 1.43 18.22 10,001 to 25,000 ............................... 738 11,535 15.6 13,140 17.8 1.14 16.93 25,001 to 50,000 ............................... 241 8,668 35.9 10,392 43.1 1.20 15.44 50,001 to 100,000 ............................. 129 9,057 70.4 11,897 92.5 1.31 15.68 100,001 to 200,000 ........................... 65 9,064 138.8 13,391 205.1 1.48 14.34 200,001 to 500,000 ........................... 25 7,176 289.0 10,347 416.7 1.44 14.28 Over 500,000 .................................... 7 5,908 896.1 11,201 1698.8 1.90 14.62 Principal Building Activity

492

c33.xls  

Gasoline and Diesel Fuel Update (EIA)

per per Building (gallons) per Square Foot (gallons) per Worker (gallons) per Building (thousand dollars) per Square Foot (dollars) per Gallon (dollars) All Buildings* .................................. 3,555 0.11 81.6 3.9 0.12 1.11 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 1,187 0.41 315.2 1.4 0.49 1.18 5,001 to 10,000 ................................. 2,639 0.37 456.4 3.1 0.43 1.17 10,001 to 25,000 ............................... 3,238 0.20 218.5 3.8 0.24 1.18 25,001 to 50,000 ............................... 5,383 0.14 109.4 5.8 0.15 1.08 50,001 to 100,000 ............................. 8,163 0.11 78.4 8.8 0.12 1.08 100,001 to 200,000 ........................... 12,681 0.09 80.6 13.1 0.09 1.03 200,001 to 500,000 ........................... 22,353 0.08 62.1 23.6 0.08

493

october2005.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: August 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

494

P2.xls  

Gasoline and Diesel Fuel Update (EIA)

P2. Energy Production Estimates in Trillion Btu, 2011 P2. Energy Production Estimates in Trillion Btu, 2011 Alabama 468.7 226.8 48.6 411.8 0.0 245.3 245.3 1,401.2 Alaska 33.5 404.7 1,188.0 0.0 0.0 15.7 15.7 1,641.9 Arizona 174.8 0.2 0.2 327.3 7.8 107.4 115.2 617.7 Arkansas 3.0 1,090.9 34.1 148.5 0.0 113.5 113.5 1,390.0 California 0.0 279.7 1,123.4 383.6 25.0 812.8 837.8 2,624.6 Colorado 586.8 1,831.2 226.9 0.0 17.7 84.0 101.7 2,746.7 Connecticut 0.0 0.0 0.0 166.7 0.0 29.9 29.9 196.5 Delaware 0.0 0.0 0.0 0.0 0.0 3.8 3.8 3.8 District of Columbia 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1 Florida 0.0 15.4 11.7 230.4 0.0 266.7 266.7 524.2 Georgia 0.0 0.0 0.0 338.1 14.2 192.1 206.3 544.4 Hawaii 0.0 0.0 0.0 0.0 0.0 19.1 19.1 19.1 Idaho 0.0 0.0 0.0 0.0 7.6 172.8 180.4 180.4 Illinois 864.2 3.7 53.6 1,002.7 174.0 102.3 276.3 2,200.5 Indiana 841.0 9.2 11.5 0.0 130.5 71.2 201.7 1,063.4 Iowa 0.0 0.0 0.0 54.6 505.3 140.7 645.9 700.5 Kansas 0.8 356.8 240.7 76.6 61.8

495

june2005.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: April 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

496

oil1993.xls  

Gasoline and Diesel Fuel Update (EIA)

(thousand Household Member (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 13.8 11.6 29.8 92 36 77.5 28 604 0.23 506 186 Census Region and Division Northeast 7.9 5.9 17.2 133 45 98.7 36 854 0.29 636 234 New England 2.8 2.4 6.6 125 45 105.6 40 819 0.30 691 262 Middle Atlantic 5.0 3.5 10.6 138 45 94.8 34 878 0.29 605 219 Midwest 2.3 2.2 6.0 60 22 58.4 21 378 0.14 370 132 East North Central 1.5 1.5 4.1 51 19 49.3 18 328 0.12 318 116 West North Central 0.7 0.7 2.0 78 29 77.8 27 481 0.18 481 165 South 3.1 2.9 5.4 43 24 41.0 15 306 0.17 292 108 South Atlantic 2.6 2.5 4.6 47 26 44.4 16 334 0.18 316 116 East South Central 0.4 0.4 0.6 24 14 23.8 9 168 0.10 168 65 West South Central Q Q Q 5 2 4.8 2 47 0.02 47 18 West 0.6 0.5 1.2 61 27 58.8 23 444 0.20 427 164 Mountain

497

april2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Monthly Flash Estimates of Monthly Flash Estimates of Data for: February 2006 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Section 1. Commentary Electric Power Data After an unusually warm January, February weather reverted to a historically more normal seasonal pattern. February 2006 heating degree days were, however, still 8 percent higher than in February 2005, which had been warmer than normal.

498

sup_elec.xls  

Gasoline and Diesel Fuel Update (EIA)

0. Electric Power Projections for EMM Region 0. Electric Power Projections for EMM Region East Central Area Reliability Coordination Agreement 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Electricity Generating Capacity 1/ (gigawatts) Coal Steam 84.34 84.34 84.33 84.17 83.59 82.17 81.85 81.85 81.32 81.32 81.32 81.32 81.32 Other Fossil Steam 2/ 3.83 3.83 3.83 3.83 3.83 3.83 3.83 3.83 3.81 3.81 3.81 3.81 3.81 Combined Cycle 4.24 8.72 11.97 12.95 12.95 12.95 12.95 12.95 12.91 12.91 13.96 14.60 15.67 Combustion Turbine/Diesel 13.84 19.59 21.22 21.22 21.14 21.14 21.11 21.08 18.97 19.21 19.83 19.93 20.20 Nuclear Power 7.68 7.69 7.72 7.72 7.72 7.72 7.72 7.72 7.72 7.72 7.72 7.72 7.72 Pumped Storage/Other 3/ 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 Fuel Cells 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Renewable Sources 4/ 1.72

499

march2007.xls  

Gasoline and Diesel Fuel Update (EIA)

7 7 Section 1. Commentary Electric Power Data During March 2007, the contiguous U.S. experienced the second warmest March over the 1895-2007 time period. Heating degree days were 15.7 percent lower than normal, as measured over the 1971-2000 time period, and 16.7 percent lower than March 2006. Despite the unseasonably warm March, retail sales of electricity increased 0.8 percent compared to March 2006, while March 2007 generation of electric power increased 0.9 percent over March 2006. These increases were primarily due to economic growth, evident by a 2.1-percent increase in the real gross domestic product for the U.S. in the first quarter of 2007 over the first quarter of 2006. The average U.S. retail price of electricity for March 2007 showed a 5.0-percent

500

2010 APS.xls  

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

Allison to Marcinowski SUBJECT: NEPA 2010 APS for DOE-SRS Allison to Marcinowski SUBJECT: NEPA 2010 APS for DOE-SRS *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain tbd FONSI: uncertain Total Estimated Cost tbd Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next 12 Months Department of Energy (DOE) Savannah River Site (SRS) Jan-10 Estimated Schedule (**NEPA Milestones) DOE SRS expects to initiate one or more new EAs over the next 12 months. * Please include projected NEPA milestones, if planned. 1 of 6 Annual NEPA Planning Summary (2010) DOE Savannah River Site Attachment: Memo, Allison to Marcinowski SUBJECT: NEPA 2010 APS for DOE-SRS *Title, Location Estimated Cost Description Determination Date: