National Library of Energy BETA

Sample records for implied net receipts

  1. ,"Total Crude Oil and Petroleum Products Net Receipts by Pipeline...

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

    Data for" ,"Data 1","Total Crude Oil and Petroleum Products Net Receipts by ... PM" "Back to Contents","Data 1: Total Crude Oil and Petroleum Products Net Receipts by ...

  2. ,"Total Crude Oil and Petroleum Products Net Receipts by Pipeline...

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

    Net Receipts by Pipeline, Tanker, Barge and Rail between PAD Districts" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

  3. U.S. Natural Gas Net International & Interstate Receipts (Million Cubic

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

    Feet) & Interstate Receipts (Million Cubic Feet) U.S. Natural Gas Net International & Interstate Receipts (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 51,151,097 1990's 51,464,146 50,200,246 53,277,237

  4. U.S. Natural Gas Net International Receipts (Million Cubic Feet)

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

    Receipts (Million Cubic Feet) U.S. Natural Gas Net International Receipts (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 482,612 558,140 675,647 1970's 750,967 854,336 941,483 955,732 882,495 880,333 899,057 955,376 913,013 1,197,710 1980's 936,036 844,769 881,441 864,600 788,216 894,087 690,478 938,148 1,219,590 1,274,651 1990's 1,447,407 1,644,341 1,921,225

  5. East Coast (PADD 1) Net Receipts of Crude Oil and Petroleum Products by

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

    Pipeline, Tanker, Barge and Rail Type: Net Receipts Receipts Shipments Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Type Area Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History Total Crude Oil and Petroleum Products 112,149 114,648 107,666 116,665 111,318 107,313 1981-2016 Crude Oil 15,410 12,981 11,067 11,825 12,222 11,443 1981-2016 Petroleum Products 97,974 103,197 97,415 107,593 100,144 95,869

  6. U.S. Natural Gas Net Interstate Receipts (Million Cubic Feet)

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

    Natural Gas Net Interstate Receipts (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. International and Interstate Movements of Natural Gas by State

  7. Net Movements of Crude Oil and Petroleum Products by Pipeline, Tanker, Barge, and Rail Between PAD Districts, January 2014

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

    January 2014 (Thousand Barrels) Commodity PAD District 1 PAD District 2 PAD District 3 Receipts Shipments Net Receipts Receipts Shipments Net Receipts Receipts Shipments Net Receipts Crude Oil 1 ................................................................ 11,209 1,213 9,996 35,554 35,363 190 23,680 28,598 -4,918 Petroleum Products 2 .............................................. 106,990 8,669 107,347 29,831 18,055 -6,599 16,594 124,991 -103,885 Pentanes Plus

  8. Net Metering

    Broader source: Energy.gov [DOE]

    Note: Illinois is currently undergoing a rulemaking that would change its existing net metering rules. The proposed rules include provisions clarifying virtual net metering policies, facilitating...

  9. Net Metering

    Broader source: Energy.gov [DOE]

    Ohio's net-metering law requires electric distribution utilities to offer net metering to customers who generate electricity using wind energy, solar energy, biomass, landfill gas, hydropower, fu...

  10. Net Metering

    Broader source: Energy.gov [DOE]

    Kansas adopted the Net Metering and Easy Connection Act in May 2009, which established net metering for customers of investor-owned utilities (IOUs). 

  11. REQUEST FOR SERVICES --- DOCUMENT RECEIPT No | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    SERVICES --- DOCUMENT RECEIPT No REQUEST FOR SERVICES --- DOCUMENT RECEIPT No Form is used by headquarters offices in the records transfer process to indicate receipt of requested ...

  12. Total Crude Oil and Petroleum Products Net Receipts by Pipeline...

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

    12,149 114,648 107,666 116,665 111,318 107,313 1981-2016 Midwest (PADD 2) -28,849 -14,832 -10,248 -16,895 -22,565 -25,060 1981-2016 Gulf Coast (PADD 3) -79,417 -93,775 -93,409 ...

  13. Net Metering

    Broader source: Energy.gov [DOE]

    Net excess generation (NEG) is credited to the customer's next monthly bill. The customer may choose to start the net metering period at the beginning of January, April, July or October to match...

  14. Net Metering

    Broader source: Energy.gov [DOE]

    NOTE: Although, this post is categorized as netmetering, the policy adopted by MS does not meet DSIRE's standards for a typical net metering policy. Net metering policy allows a customer to offset...

  15. Net Metering

    Broader source: Energy.gov [DOE]

    New Jersey's net-metering rules require state's investor-owned utilities and energy suppliers (and certain competitive municipal utilities and electric cooperatives) to offer net metering at non-...

  16. Net Metering

    Broader source: Energy.gov [DOE]

    Note: On October 12th, 2015 the Hawaii PUC voted to end net metering in favor of 3 alternative options: a grid supply option, a self-supply option, and a time of use tariff. Customers with net...

  17. Net Metering

    Broader source: Energy.gov [DOE]

    NOTE: On October 21, 2015, the NY Public Service Commission denied the Orange and Rockland Utility’s petition to cease offering net-metering and interconnections once the 6% net-metering cap was...

  18. Net Metering

    Broader source: Energy.gov [DOE]

    There is no stated limit on the aggregate capacity of net-metered systems in a utility's service territory. Any net excess generation (NEG) during a monthly billing period is carried over to the...

  19. Net Metering

    Broader source: Energy.gov [DOE]

    Missouri enacted legislation in June 2007 requiring all electric utilities—investor-owned utilities, municipal utilities, and electric cooperatives—to offer net metering to customers with systems...

  20. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available on a first-come, first-served basis until the cumulative generating capacity of net-metered systems equals 0.5% of a utility’s peak demand during 1996.* At least one-half...

  1. Waste Receipt Quality Assurance Program - Hanford Site

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Receipt Quality Assurance Program About Us Hanford Site Solid Waste Acceptance Program What's New Acceptance Criteria Acceptance Process Becoming a new Hanford Customer Annual Waste Forecast and Funding Arrangements Waste Stream Approval Waste Shipment Approval Waste Receipt Quality Assurance Program Waste Specification Records Tools Points of Contact Waste Receipt Quality Assurance Program Email Email Page | Print Print Page |Text Increase Font Size Decrease Font Size The Hanford Site has a

  2. Delivery and Receipt | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Delivery and Receipt Delivery and Receipt Delivery and Receipt of Personal Property Acquired by Purchase Card at Headquarters Receiving Items Purchased with the Purchase Card that are Shipped or Delivered by the Vendor All personal property acquired by using the purchase card should generally be delivered to and processed by the receiving office (loading dock). This will ensure inventory control identification, as appropriate and recording in the personal property management records. The

  3. Net Metering

    Broader source: Energy.gov [DOE]

    In April 2001, Arkansas enacted legislation (HB 2325) directing the Arkansas Public Service Commission (PSC) to establish net-metering rules for certain renewable-energy systems.* The PSC approved...

  4. Net Metering

    Broader source: Energy.gov [DOE]

    Net excess generation (NEG) is treated as a kilowatt-hour (kWh) credit or other compensation on the customer's following bill.* At the beginning of the calendar year, a utility will purchase any...

  5. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available to all customers of investor-owned utilities and rural electric cooperatives, exempting TVA utilities. Kentucky's requires the use of a single, bi-directional meter for...

  6. Net Metering

    Broader source: Energy.gov [DOE]

    Customer net excess generation (NEG) is carried forward at the utility's retail rate (i.e., as a kilowatt-hour credit) to a customer's next bill for up to 12 months. At the end of a 12-month...

  7. Net Metering

    Broader source: Energy.gov [DOE]

    Note: The California Public Utilities Commission (CPUC) issued a decision in April 2016 establishing rules for net metering PV systems paired with storage devices 10 kW or smaller. See below for...

  8. Net Metering

    Office of Energy Efficiency and Renewable Energy (EERE)

     NOTE: The program website listed above links to the Maryland Public Service Commission's Net Metering Working Group page, which contains a variety of information resources related to the ongoing...

  9. Net Metering

    Broader source: Energy.gov [DOE]

    North Dakota's net metering policy, adopted in 1991 by the state Public Service Commission (PSC), applies to renewable energy systems and combined heat and power (CHP) systems up to 100 kilowatts...

  10. Net Metering

    Broader source: Energy.gov [DOE]

    Utah law requires their only investor-owned utility, Rocky Mountain Power (RMP), and most electric cooperatives* to offer net metering to customers who generate electricity using solar energy, wi...

  11. Net Metering

    Broader source: Energy.gov [DOE]

    With these regulations, renewable energy systems with a capacity up to 25 kilowatts (kW) are eligible for net metering. Overall enrollment is limited to 1.5% of a utility's retail sales from the...

  12. Net Metering

    Broader source: Energy.gov [DOE]

    NOTE: On February 2016, the PA Public Service Commission (PUC) issued a final rulemaking order amending net metering regulations to provide clarity and to comply with the statutes. Changes include...

  13. Net Metering

    Broader source: Energy.gov [DOE]

    Iowa's statutes do not explicitly authorize the Iowa Utilities Board (IUB) to mandate net metering, but this authority is implicit through the board's enforcement of PURPA and Iowa Code § 476.41 ...

  14. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available to all "qualifying facilities" (QFs), as defined by the federal Public Utility Regulatory Policies Act of 1978 (PURPA), which pertains to renewable energy systems and co...

  15. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering in Virginia is available on a first-come, first-served basis until the rated generating capacity owned and operated by customer-generators reaches 1% of an electric distribution...

  16. Net Metering

    Broader source: Energy.gov [DOE]

    In Delaware, net metering is available to any customer that generates electricity using solar, wind or hydro resources, anaerobic digesters, or fuel cells capable of being powered by renewable fu...

  17. Net Metering

    Broader source: Energy.gov [DOE]

    Nevada's original net-metering law for renewable-energy systems was enacted in 1997 and amended in 2001, 2003, 2005, 2007, 2011, 2013, and 2015. Systems up to one megawatt (MW) in capacity that...

  18. Net Metering

    Broader source: Energy.gov [DOE]

    In October 2008, Michigan enacted P.A. 295, requiring the Michigan Public Service Commission (MPSC) to establish a statewide net metering program for renewable energy systems. On May 26, 2009 the...

  19. Waste Receipt Quality Assurance Program - Hanford Site

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Receipt Quality Assurance Program About Us Hanford Site Solid Waste Acceptance Program What's New Acceptance Criteria Acceptance Process Becoming a new Hanford Customer Annual...

  20. Foreign Research Reactor/Domestic Research Reactor Receipt Coordinator...

    National Nuclear Security Administration (NNSA)

    Foreign Research ReactorDomestic Research Reactor Receipt Coordinator, Savannah River ... Mike Dunsmuir, FRRDRR Receipt Coordinator with Savannah River Nuclear Solutions (SRNS) ...

  1. Palau- Net Metering

    Broader source: Energy.gov [DOE]

    The Palau Net Metering Act of 2009 established net metering on the Island of Palau. Net metering was implemented in order to:

  2. NetCDF

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NetCDF NetCDF Description and Overview NetCDF (Network Common Data Form) is a set of software libraries and machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. This includes the libnetcdf.a library as well as the NetCDF Operators (NCO), Climate Data Operators (CDO), NCCMP, and NCVIEW packages. Files written with previous versions can be read or written with the current version. Using NetCDF on Cray System NetCDF libraries on the

  3. Minnesota Natural Gas Imports (No intransit Receipts) (Million...

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

    Imports (No intransit Receipts) (Million Cubic Feet) Minnesota Natural Gas Imports (No ... Referring Pages: Natural Gas Imports (Summary) Minnesota U.S. Natural Gas Imports & ...

  4. DSOPilot project Automatic receipt of short circuiting indicators...

    Open Energy Info (EERE)

    project Automatic receipt of short circuiting indicators Country Denmark Coordinates 56.26392, 9.501785 Loading map... "minzoom":false,"mappingservice":"googlemaps3","type...

  5. Occurrence Reporting and Processing System (ORPS) - Receipt of...

    Office of Environmental Management (EM)

    Administrative Order Relative to the Management of Hazardous Nitrate Salt Bearing Waste Drums at LANL Occurrence Reporting and Processing System (ORPS) - Receipt of Administrative...

  6. NetCDF

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NetCDF NetCDF NetCDF NetCDF (network Common Data Form) is a set of libraries and machine-independent data formats for creation, access, and sharing of array-oriented scientific data. Includes the NCO, NCCMP, and CDO tools. Read More » Climate Data Operators (CDO) Climate Data Operators (CDO) is a collection of command line Operators to manipulate and analyze Climate and forecast model Data. Read More » NCView NCVIEW is a visual browser for NetCDF format files. Read More » Last edited:

  7. SRP- Net Metering

    Broader source: Energy.gov [DOE]

    Note: Salt River Project (SRP) modified its existing net-metering program for residential customers in February 2015. These changes are effective with the April 2015 billing cycle.

  8. Crude Oil Net Receipts by Pipeline, Tanker, Barge and Rail between PAD

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

    Districts 5,410 12,981 11,067 11,825 12,222 11,443 1981-2016 Midwest (PADD 2) -29,394 -21,286 -8,111 -6,943 -14,656 -13,800 1981-2016 Gulf Coast (PADD 3) 21,116 16,616 3,395 3,136 9,984 9,831 1981-2016 Rocky Mountain (PADD 4) -12,957 -13,044 -12,291 -12,681 -11,550 -11,220 1986-2016 West Coast (PADD 5) 5,825 4,733 5,941 4,663 3,999 3,74

  9. East Coast (PADD 1) Net Receipts of Crude Oil and Petroleum Products...

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

    RBOB for Blending with Alcohol* 2005-2009 RBOB for Blending with Ether* 2005-2009 GTAB* ... Notes: RBOB with Ether and RBOB with Alcohol are discontinued as of the January 2010 ...

  10. Certificate of Property Receipt HQ Form 4420.1 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Certificate of Property Receipt HQ Form 4420.1 Certificate of Property Receipt HQ Form 4420.1 Certificate of Property Receipt HQ Form 4420.1 PDF icon Certificate of Property Receipt HQ Form 4420.1 More Documents & Publications DOE HQ F 4420.1 DOE HQ F 580-2 DOE HQ F 580

  11. California Natural Gas Imports (No intransit Receipts) (Million...

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

    California Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 ... Referring Pages: U.S. Natural Gas Imports California U.S. Natural Gas Imports & Exports ...

  12. Receipt of Guideline-Concordant Treatment in Elderly Prostate Cancer

    Office of Scientific and Technical Information (OSTI)

    Patients (Journal Article) | SciTech Connect Receipt of Guideline-Concordant Treatment in Elderly Prostate Cancer Patients Citation Details In-Document Search Title: Receipt of Guideline-Concordant Treatment in Elderly Prostate Cancer Patients Purpose: To examine the proportion of elderly prostate cancer patients receiving guideline-concordant treatment, using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database. Methods and Materials: A total of 29,001 men

  13. Net Energy Billing

    Broader source: Energy.gov [DOE]

    Note: On June 30, 2015, the Maine legislature enacted L.D. 1263/H.P. 863, directing the Public Utilities Commission to convene a stakeholder group to develop an alternative to net energy billing.

  14. Guam- Net Metering

    Broader source: Energy.gov [DOE]

    Note: As of October 2015, the net metering program had around 700 customers. According to the Guam Daily Post, the program is expected to reach the current 1,000-customer cap in mid-2016. This cap...

  15. Austin Energy- Net Metering

    Broader source: Energy.gov [DOE]

    Austin Energy, the municipal utility of Austin Texas, offers net metering to its non-residential retail electricity customers for renewable energy systems up to 20 kilowatts (kW). Austin Energy o...

  16. SpawnNet

    Energy Science and Technology Software Center (OSTI)

    2014-12-23

    SpawnNet provides a networking interface similar to Linux sockets that runs natively on High-performance network interfaces. It is intended to be used to bootstrap parallel jobs and communication libraries like MPI.

  17. EWEB- Net Metering

    Broader source: Energy.gov [DOE]

    The Eugene Water and Electric Board (EWEB) offers net metering for customers with renewable energy generation systems with an installed capacity of 25 kW or less. Eligible systems use solar power,...

  18. Idaho Power- Net Metering

    Broader source: Energy.gov [DOE]

    In July 2013, the PUC issued an order in response to Idaho Power's application to modify its net metering program. The ruling removed a previously existing service capacity cap of 2.9 MW and chan...

  19. LADWP- Net Metering

    Broader source: Energy.gov [DOE]

    LADWP allows its customers to net meter their photovoltaic (PV), wind, and hybrid systems with a capacity of not more than one megawatt. LADWP will provide the necessary metering equipment unless...

  20. NetState

    Energy Science and Technology Software Center (OSTI)

    2005-09-01

    NetState is a distributed network monitoring system. It uses passive sensors to develop status information on a target network. Two major features provided by NetState are version and port tracking. Version tracking maintains information about software and operating systems versions. Port tracking identifies information about active TOP and UDP ports. Multiple NetState sniffers can be deployed, one at each entry point of the target network. The sniffers monitor network traffic, then send the information tomore » the NetState server. The information is stored in centralized database which can then be accessed via standard SQL database queries or this web-based GUI, for further analysis and display.« less

  1. Avista Utilities- Net Metering

    Broader source: Energy.gov [DOE]

    For Avista Utilities customers, any net excess generation (NEG) during a monthly billing period is credited to the customer's next bill at the utility's retail rate. At the beginning of each ca...

  2. PSEG Long Island- Net Metering

    Broader source: Energy.gov [DOE]

    Although PSEG Long Island’s net metering policy is not governed by the State’s net metering law, the provisions are similar to the State law. Net metering is available for residential, non-reside...

  3. Net Metering | Open Energy Information

    Open Energy Info (EERE)

    Gas Wind Biomass Geothermal Electric Anaerobic Digestion Small Hydroelectric Tidal Energy Wave Energy No Ashland Electric - Net Metering (Oregon) Net Metering Oregon Commercial...

  4. Grid Net | Open Energy Information

    Open Energy Info (EERE)

    Grid Net Jump to: navigation, search Name: Grid Net Address: 340 Brannan St Place: San Francisco, California Zip: 94107 Region: Bay Area Sector: Efficiency Product: Sells open,...

  5. OpenNet Training | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    OpenNet Training OpenNet Training Training Instructions for Submitting Document to OpenNet Reference OpenNet

  6. Analysis of Federal Subsidies: Implied Price of Carbon

    SciTech Connect (OSTI)

    D. Craig Cooper; Thomas Foulke

    2010-10-01

    For informed climate change policy, it is important for decision makers to be able to assess how the costs and benefits of federal energy subsidies are distributed and to be able to have some measure to compare them. One way to do this is to evaluate the implied price of carbon (IPC) for a federal subsidy, or set of subsidies; where the IPC is the cost of the subsidy to the U.S. Treasury divided by the emissions reductions it generated. Subsidies with lower IPC are more cost effective at reducing greenhouse gas emissions, while subsidies with a negative IPC act to increase emissions. While simple in concept, the IPC is difficult to calculate in practice. Calculation of the IPC requires knowledge of (i) the amount of energy associated with the subsidy, (ii) the amount and type of energy that would have been produced in the absence of the subsidy, and (iii) the greenhouse gas emissions associated with both the subsidized energy and the potential replacement energy. These pieces of information are not consistently available for federal subsidies, and there is considerable uncertainty in cases where the information is available. Thus, exact values for the IPC based upon fully consistent standards cannot be calculated with available data. However, it is possible to estimate a range of potential values sufficient for initial comparisons. This study has employed a range of methods to generate “first order” estimates for the IPC of a range of federal subsidies using static methods that do not account for the dynamics of supply and demand. The study demonstrates that, while the IPC value depends upon how the inquiry is framed and the IPC cannot be calculated in a “one size fits all” manner, IPC calculations can provide a valuable perspective for climate policy analysis. IPC values are most useful when calculated within the perspective of a case study, with the method and parameters of the calculation determined by the case. The IPC of different policy measures can then be quantitatively evaluated within the case. Results can be qualitatively compared across cases, so long as such comparisons are considered to be preliminary and treated with the appropriate level of caution.

  7. Mississippi Natural Gas Imports (No intransit Receipts) (Million Cubic

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

    Feet) (No intransit Receipts) (Million Cubic Feet) Mississippi Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 5,774 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Imports (Summary) Mississippi U.S. Natural Gas

  8. Montana Electric Cooperatives- Net Metering

    Broader source: Energy.gov [DOE]

    The Montana Electric Cooperatives' Association (MECA) adopted model interconnection guidelines in 2001 and a revised net-metering policy in September 2008. Net metering is available in whole or...

  9. Washington City Power- Net Metering

    Broader source: Energy.gov [DOE]

    Washington City adopted a net-metering program, including interconnection procedures, in January 2008, and updated the policy in December 2014.* Net metering is available to any customer of...

  10. Grays Harbor PUD- Net Metering

    Broader source: Energy.gov [DOE]

    Washington's original net-metering law, which applies to all electric utilities, was enacted in 1998 and amended in 2006. Individual systems are limited to 100 kilowatts (kW) in capacity. Net...

  11. Net Metering | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    the limit on individual system size from 100 kilowatts (kW) to 1 MW . Net Excess Generation: The District's net-metering rules specify that metering equipment must be capable...

  12. N. Mariana Islands- Net Metering

    Broader source: Energy.gov [DOE]

    Note: The Commonwealth Utility Corporation issued a moratorium on net metering. However, Public Law 18-62 signed September 6, 2014 states that net metering should be available to all residential...

  13. Texas Natural Gas Imports (No intransit Receipts) (Million Cubic Feet)

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

    (No intransit Receipts) (Million Cubic Feet) Texas Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 94,794 75,361 51,502 0 0 1990's 1,678 7,013 6,722 13,862 17,243 14,532 54,530 2000's 11,601 10,276 1,755 NA 0 9,320 12,749 54,062 47,704 32,131 2010's 32,765 58,212 6,165 6,673 7,124 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  14. U.S. Natural Gas International Receipts (Million Cubic Feet)

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

    Receipts (Million Cubic Feet) U.S. Natural Gas International Receipts (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1930's 21 44 38 83 68 106 152 289 372 131 1940's 0 0 0 0 0 0 0 0 0 0 1950's 0 0 7,807 9,225 6,847 10,888 10,380 37,941 135,797 133,990 1960's 155,646 218,860 401,534 406,204 443,326 456,394 479,780 564,226 651,885 726,951 1970's 820,780 934,548 1,019,496 1,032,901 959,284 953,008 963,768 1,011,002 965,545 1,253,383 1980's

  15. U.S. Natural Gas Interstate Receipts (Million Cubic Feet)

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

    Receipts (Million Cubic Feet) U.S. Natural Gas Interstate Receipts (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 50,697,415 1990's 51,022,894 49,708,414 52,574,795 52,674,053 57,969,941 61,167,051 62,953,877 61,199,549 55,139,674 57,323,473 2000's 58,570,289 65,774,849 63,389,468 65,793,961 64,423,388 63,027,775 61,863,323 66,858,134 70,305,954 72,022,602 2010's 74,778,078 74,661,629 70,195,570 64,110,541 62,914,469 - = No Data Reported;

  16. Vermont Natural Gas Imports (No intransit Receipts) (Million Cubic Feet)

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

    (No intransit Receipts) (Million Cubic Feet) Vermont Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4,519 4,610 4,994 5,213 5,137 5,453 8,105 13,152 1990's 14,512 15,796 17,248 16,424 18,091 18,429 18,736 19,343 18,998 10,391 2000's 9,980 7,815 8,421 8,272 8,761 8,392 8,404 8,021 8,106 9,319 2010's 8,895 10,319 8,247 10,324 10,621 - = No Data Reported; -- = Not Applicable; NA = Not Available; W

  17. Washington Natural Gas Imports (No intransit Receipts) (Million Cubic Feet)

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

    Imports (No intransit Receipts) (Million Cubic Feet) Washington Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 92,027 87,242 89,925 99,329 105,996 139,021 140,826 170,832 1990's 168,441 235,614 270,477 306,030 320,362 335,866 356,711 360,261 374,666 415,636 2000's 347,992 366,050 394,929 366,257 339,051 336,684 255,743 254,086 300,453 309,516 2010's 332,358 313,922 312,236 333,050 359,348 - = No

  18. Idaho Natural Gas Imports (No intransit Receipts) (Million Cubic Feet)

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

    Imports (No intransit Receipts) (Million Cubic Feet) Idaho Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 338,147 310,811 299,360 411,380 348,307 483,547 503,451 501,477 1990's 514,597 496,967 496,451 511,727 723,071 823,478 842,114 856,503 879,840 800,345 2000's 830,351 802,182 759,647 623,652 707,885 624,468 690,781 704,429 688,782 693,892 2010's 708,806 606,099 634,194 686,449 608,147 - = No

  19. North Dakota Natural Gas Imports (No intransit Receipts) (Million Cubic

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

    Feet) Imports (No intransit Receipts) (Million Cubic Feet) North Dakota Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 1990's 1,617 4,559 6,110 7,672 9,268 3,416 2000's 60,718 495,568 453,645 435,453 460,237 491,867 514,052 465,973 490,045 480,013 2010's 476,864 448,977 433,721 432,509 433,256 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  20. Louisiana Natural Gas Imports (No intransit Receipts) (Million Cubic Feet)

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

    (No intransit Receipts) (Million Cubic Feet) Louisiana Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 23,114 96,945 0 0 0 3,934 1990's 30,750 33,284 12,637 30,790 17,887 5,149 7,042 30,596 42,922 67,362 2000's 127,198 145,157 102,130 238,237 163,738 108,967 144,060 268,714 18,110 70,099 2010's 90,867 60,554 20,132 5,750 5,880 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  1. Maine Natural Gas Imports (No intransit Receipts) (Million Cubic Feet)

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

    Imports (No intransit Receipts) (Million Cubic Feet) Maine Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 1990's 0 2000's 123,521 152,486 124,991 115,301 102,292 135,162 105,650 106,643 121,295 114,081 2010's 131,035 149,736 76,540 55,248 79,892 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  2. Massachusetts Natural Gas Imports (No intransit Receipts) (Million Cubic

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

    Feet) (No intransit Receipts) (Million Cubic Feet) Massachusetts Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 32,022 34,178 36,191 23,659 1,669 17,490 38,229 1990's 53,443 30,312 30,479 50,895 32,891 12,769 33,232 47,183 42,531 96,068 2000's 98,838 90,406 109,763 158,277 173,780 168,542 176,097 183,624 166,247 161,486 2010's 164,984 135,278 86,609 63,987 28,825 - = No Data Reported; -- =

  3. Michigan Natural Gas Imports (No intransit Receipts) (Million Cubic Feet)

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

    Imports (No intransit Receipts) (Million Cubic Feet) Michigan Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 10,027 6,951 3,683 467 0 136 997 0 1990's 1,151 38,568 34,874 17,320 26,475 29,043 23,356 47,343 41,194 2000's 23,369 22,151 30,463 7,716 24,272 18,281 10,434 10,590 12,109 12,216 2010's 11,365 15,193 11,630 8,521 21,248 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  4. Montana Natural Gas Imports (No intransit Receipts) (Million Cubic Feet)

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

    Imports (No intransit Receipts) (Million Cubic Feet) Montana Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 70,647 136,508 137,661 155,377 95,958 178,262 318,618 323,538 1990's 343,716 393,463 467,036 511,294 535,855 570,396 576,511 572,977 580,548 807,124 2000's 800,026 662,662 787,652 719,011 757,642 728,851 684,278 779,129 666,251 502,435 2010's 706,201 679,848 754,058 719,176 541,135 - = No

  5. New Hampshire Natural Gas Imports (No intransit Receipts) (Million Cubic

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

    Feet) Imports (No intransit Receipts) (Million Cubic Feet) New Hampshire Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 1990's 22,820 2000's 38,289 45,808 29,014 34,983 17,257 28,041 31,853 56,879 39,438 26,767 2010's 18,297 19,826 47,451 63,446 52,160 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  6. OglNet

    Energy Science and Technology Software Center (OSTI)

    2010-03-10

    OglNet is designed to capture and visualize network packets as they move from their source to intended destination. This creates a three dimensional representation of an active network and can show misconfigured components, potential security breaches and possible hostile network traffic. This visual representation is customizable by the user and also includes how network components interact with servers around the world. The software is able to process live or real time traffic feeds as wellmore » as offline historical network packet captures. As packets are read into the system, they are processed and visualized in an easy to understand display that includes network names, IP addresses, and global positioning. The software can process and display up to six million packets per second.« less

  7. Net Metering | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    of retail renewable distributed generation and net metering. Details will be posted once a final order is issued. Eligibility and Availability In December 2005 the Colorado...

  8. Net Metering | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    who generate electricity using solar, wind, hydroelectric, geothermal, biomass, biogas, combined heat and power, or fuel cell technologies.* A net metering facility must be...

  9. Net Metering | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Anaerobic Digestion Fuel Cells using Renewable Fuels Program Info Sector Name State State North Carolina Program Type Net Metering Summary The North Carolina Utilities Commission...

  10. Road to Net Zero (Presentation)

    SciTech Connect (OSTI)

    Glover, B.

    2011-05-01

    A PowerPoint presentation on NREL's Research Support Facility (RSF) and the road to achieving net zero energy for new construction.

  11. Net Metering | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    after 12312014) are eligible. Net-metered systems must be intended primarily to offset part or all of a customer's electricity requirements. Public utilities may not limit...

  12. Docket No. EO-05-01: Letter Documenting Department of Energy Receipt of the

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Mirant Potomac River Compliance Plan | Department of Energy Documenting Department of Energy Receipt of the Mirant Potomac River Compliance Plan Docket No. EO-05-01: Letter Documenting Department of Energy Receipt of the Mirant Potomac River Compliance Plan Docket No. EO-05-01: Letter documenting Department of Energy receipt of the Mirant Potomac River compliance plan, and informing Mirant that additional comments on the plan would be forthcoming. PDF icon Docket No. EO-05-01: Letter

  13. 30 TAC, part 1, chapter 39, rule 39.418 Notice of Receipt of...

    Open Energy Info (EERE)

    Abstract These rules explain the public notice of receipt of application required for air quality control permits to construct in Texas. Published NA Year Signed or Took...

  14. U.S. DEPARTMENT OF ENERGY CERTIFICATE OF PROPERTY RECEIPT ADP...

    Energy Savers [EERE]

    following item is hereby forwarded to you as requested: ITEM: MAKE: TAG NO.: MODEL: SERIAL NO.: Instructions Complete this receipt and return white to Logistics Operations...

  15. SensorNet Node Suite

    Energy Science and Technology Software Center (OSTI)

    2004-09-01

    The software in the SensorNet Node adopts and builds on IEEE 1451 interface principles to read data from and control sensors, stores the data in internal database structures, and transmits it in adapted Web Feature Services protocol packets to the SensorNet database. Failover software ensures that at least one available mode of communication remains alive.

  16. TacNet Tracker Software

    Energy Science and Technology Software Center (OSTI)

    2008-08-04

    The TacNet Tracker will be used for the monitoring and real-time tracking of personnel and assets in an unlimited number of specific applications. The TacNet Tracker software is a VxWorks Operating System based programming package that controls the functionality for the wearable Tracker. One main use of the TacNet Tracker is in Blue Force Tracking, the ability to track the good guys in an adversarial situation or in a force-on-force or real battle conditions. Themore » purpose of blue force tracking is to provide situational awareness to the battlefield commanders and personnel. There are practical military applications with the TacNet Tracker.The mesh network is a wireless IP communications network that moves data packets from source IP addresses to specific destination IP addresses. Addresses on the TacNet infrastructure utilize an 8-bit network mask (255.0.0.0). In other words, valid TacNet addresses range from 10.0.0.1 to 10.254.254.254. The TacNet software design uses uni-cast transmission techniques because earlier mesh network software releases did not provide for the ability to utilize multi-cast data movement. The TacNet design employs a list of addresses to move information within the TacNet infrastructure. For example, a convoy text file containing the IP addresses of all valid receivers of TacNet information could be used for transmitting the information and for limiting transmission to addresses on the list.« less

  17. Net Metering | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    commercial) as long as the base requirements are met. All net-metered facilities must be behind a customer's meter, but only a minimal amount of load located on-site is required....

  18. Net Zero Energy Installations (Presentation)

    SciTech Connect (OSTI)

    Booth, S.

    2012-05-01

    A net zero energy installation (NZEI) is one that produces as much energy from on-site renewable sources as it consumes. NZEI assessment provides a systematic approach to energy projects.

  19. Rocky Mountain Power- Net Metering

    Broader source: Energy.gov [DOE]

    For residential and small commercial customers, net excess generation (NEG) is credited at Rocky Mountain Power's retail rate and carried forward to the next month. For larger commercial and...

  20. Blue Ridge EMC- Net Metering

    Broader source: Energy.gov [DOE]

    The Blue Ridge Electric Membership Corporation offers net metering to its residential customers with solar photovoltaic, wind, or micro-hydro generators up to 25 kilowatts. There is no aggregate...

  1. Net Metering | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Renewable energy facilities established on military property for on-site military consumption may net meter for systems up to 2.2 megawatts (MW, AC). Aggregate Capacity Limit...

  2. Valley Electric Association- Net Metering

    Broader source: Energy.gov [DOE]

    The Board of Directors for Valley Electric Association (VEA) approved net metering in April 2008. The rules apply to systems up to 30 kW, though owners of larger systems may be able to negotiate...

  3. ,"Minnesota Natural Gas Underground Storage Net Withdrawals ...

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

    Data for" ,"Data 1","Minnesota Natural Gas Underground Storage Net ... 7:00:48 AM" "Back to Contents","Data 1: Minnesota Natural Gas Underground Storage Net ...

  4. SophiNet Version 12

    Energy Science and Technology Software Center (OSTI)

    2012-08-09

    SophiNet Version 12 is part of the code contained in the application ‘oglnet’ and comprises the portions that make ‘oglnet’ receive and display Sophia data from the Sophia Daemon ‘sophiad’. Specifically this encompasses the channel, host and alert receiving and the treeview HUD widget.

  5. I.C. 42-203A - Notice Upon Receipt of Application to Appropriate...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: I.C. 42-203A - Notice Upon Receipt of Application to AppropriateLegal Abstract This...

  6. TRANSPORTATION CASK RECEIPT/RETURN FACILITY CRITICALITY SAFETY EVALUATIONS

    SciTech Connect (OSTI)

    C.E. Sanders

    2005-04-26

    The purpose of this design calculation is to demonstrate that the handling operations of transportation casks performed in the Transportation Cask Receipt and Return Facility (TCRRF) and Buffer Area meet the nuclear criticality safety design criteria specified in the ''Project Design Criteria (PDC) Document'' (BSC [Bechtel SAIC Company] 2004 [DIRS 171599], Section 4.9.2.2), and the functional nuclear criticality safety requirement described in the ''Transportation Cask Receipt/Return Facility Description Document'' (BSC 2004 [DIRS 170217], Section 3.2.3). Specific scope of work contained in this activity consists of the following items: (1) Evaluate criticality effects for both dry and fully flooded conditions pertaining to TCRRF and Buffer Area operations for defense in depth. (2) Evaluate Category 1 and 2 event sequences for the TCRRF as identified in the ''Categorization of Event Sequences for License Application'' (BSC 2004 [DIRS 167268], Section 7). This evaluation includes credible fuel reconfiguration conditions. In addition to the scope of work listed above, an evaluation was also performed of modeling assumptions for commercial spent nuclear fuel (CSNF) regarding inclusion of plenum and end regions of the active fuel. This calculation is limited to CSNF and US Department of Energy (DOE) SNF. it should be mentioned that the latter waste form is evaluated more in depth in the ''Canister Handling Facility Criticality Safety Calculations (BSC 2004 [DIRS 167614]). Further, the design and safety analyses of the naval SNF canisters are the responsibility of the US Department of the Navy (Naval Nuclear Propulsion Program) and will not be included in this document. In addition, this calculation is valid for the current design of the TCRRF and Buffer Area and may not reflect the ongoing design evolution of the facility. However, it is anticipated that design changes to the facility layout will have little or no impact on the criticality results and/or conclusions presented in this document. This calculation is subject to the ''Quality Assurance Requirements and Description'' (DOE 2004 [DIRS 171539]) because the TCRRF is included in the Q-List (BSC 2004 [DIRS 168361], p. A-3) as an item important to safety. This calculation is prepared in accordance with AP-3.12Q, ''Design Calculations and Analyses'' [DIRS 168413].

  7. American PowerNet | Open Energy Information

    Open Energy Info (EERE)

    PowerNet Jump to: navigation, search Name: American PowerNet Place: Pennsylvania Phone Number: (877) 977-2636 Website: www.americanpowernet.com Outage Hotline: (877) 977-2636...

  8. ,"U.S. Refinery Net Production"

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

    11:34:24 PM" "Back to Contents","Data 1: U.S. Refinery Net Production" ...US1","MMNRXNUS1","MPGRXNUS1" "Date","U.S. Refinery Net Production of Crude Oil and ...

  9. ,"U.S. Blender Net Production"

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

    11:35:14 PM" "Back to Contents","Data 1: U.S. Blender Net Production" ...BNUSMBBL","MEPPGYPBNUSMBBL" "Date","U.S. Blender Net Production of Crude Oil and ...

  10. Wire-Net | Open Energy Information

    Open Energy Info (EERE)

    Wire-Net Jump to: navigation, search Name: Wire-Net Address: 4855 W. 130th Street, Suite 1 Place: Cleveland, OHio Zip: 44135 Sector: Efficiency, Renewable Energy, Services Phone...

  11. Implied Dynamic Feedback of 3D IR Radiative Transfer on Simulated Cloud Fields

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Implications of changing correlations between WTI and other commodities, asset classes, and implied volatility James Preciado October 2012 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES October 2012 James

  12. Implications of changing correlations between WTI and other commodities, asset classes, and implied volatility

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

    Implications of changing correlations between WTI and other commodities, asset classes, and implied volatility James Preciado October 2012 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES October 2012 James

  13. Next Update: October 2009 Net Internal

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

    March 2009 Next Update: October 2009 Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW)1 2007 768,061 946,631 18.9 46,434 53,027 12.4 40,249 47,124 14.6 56,633 74,385 23.9 180,063 764,476 954,872 19.9 44,417 53,553 17.1 41,260

  14. Minnesota Natural Gas LNG Storage Net Withdrawals (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Minnesota Natural Gas LNG Storage Net Withdrawals ... Net Withdrawals of Liquefied Natural Gas from Storage Minnesota Liquefied Natural Gas ...

  15. El Paso Electric - Net Metering | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Website http:www.epelectric.comtxbusinessrollback-net-metering-approved-in-... State Texas Program Type Net Metering Summary El Paso Electric (EPE) has offered net metering to...

  16. U.S. DEPARTMENT OF ENERGY RECEIPT FOR CONTROLLED MAIL PARCEL SERVICE

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    HQ F 1410.2 (06-93) U.S. DEPARTMENT OF ENERGY RECEIPT FOR CONTROLLED MAIL PARCEL SERVICE (Receipt No.) MAIL STATION: DATE: TO: NAME: ROUTING SYMBOL: FROM: DOE Mail Facility, Office of Administration Services 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. ITEM NO. ITEM NO. ITEM NO. SIGN AND RETURN WITHIN 24 HOURS TO AVOID TRACER ACTION TO DOE MAIL FACILITY (Stamp Location) RECEIVED BY: DATE: Printed with soy ink on recycled paper

  17. NASA Net Zero Energy Buildings Roadmap

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    NASA Net Zero Energy Buildings Roadmap Shanti Pless, DOE NREL Wayne Thalasinos, NASA ... CO Image courtesy of RNL NASA NZEBs Roadmap Structure To guide NASA's incremental ...

  18. Working and Net Available Shell Storage Capacity

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

    Working and Net Available Shell Storage Capacity With Data for September 2015 | Release ... Containing storage capacity data for crude oil, petroleum products, and selected biofuels. ...

  19. NASA Net Zero Energy Buildings Roadmap

    SciTech Connect (OSTI)

    Pless, S.; Scheib, J.; Torcellini, P.; Hendron, B.; Slovensky, M.

    2014-10-01

    In preparation for the time-phased net zero energy requirement for new federal buildings starting in 2020, set forth in Executive Order 13514, NASA requested that the National Renewable Energy Laboratory (NREL) to develop a roadmap for NASA's compliance. NASA detailed a Statement of Work that requested information on strategic, organizational, and tactical aspects of net zero energy buildings. In response, this document presents a high-level approach to net zero energy planning, design, construction, and operations, based on NREL's first-hand experience procuring net zero energy construction, and based on NREL and other industry research on net zero energy feasibility. The strategic approach to net zero energy starts with an interpretation of the executive order language relating to net zero energy. Specifically, this roadmap defines a net zero energy acquisition process as one that sets an aggressive energy use intensity goal for the building in project planning, meets the reduced demand goal through energy efficiency strategies and technologies, then adds renewable energy in a prioritized manner, using building-associated, emission- free sources first, to offset the annual energy use required at the building; the net zero energy process extends through the life of the building, requiring a balance of energy use and production in each calendar year.

  20. City of St. George- Net Metering

    Broader source: Energy.gov [DOE]

    The City of St. George Energy Services Department (SGESD) offers a net metering program to its customers, and updated program guidelines and fees in September 2015.* 

  1. Millenial Net Inc | Open Energy Information

    Open Energy Info (EERE)

    MA 01803 Sector: Services Product: Millennial Net is a US-based developer of wireless sensor networking software, systems, and services. Coordinates: 44.446275, -108.431704...

  2. VruiNet Version 12(SOPHIA)

    Energy Science and Technology Software Center (OSTI)

    2012-08-09

    VruiNet Version 12 is the code used exclusively by the executable ‘vruinet’. VruiNet Version 12 provides a wrapper around the code for ‘oglnet’ that makes it compatible for VRUI systems such as the CAVE at CAES.

  3. Next Update: October 2010 Net Internal

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

    Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW)1 2008 744,151 956,581 22.2 44,660 54,875 18.6 38,857 51,545 24.6 59,896 76,180 21.4 169,155 754,229 935,965 19.4 42,531 51,870 18.0 41,306 50,308 17.9 61,108 76,671 20.3

  4. Humidity trends imply increased sensitivity to clouds in a warming Arctic

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Cox, Christopher J.; Walden, Von P.; Rowe, Penny M.; Shupe, Matthew D.

    2015-12-10

    Infrared radiative processes are implicated in Arctic warming and sea-ice decline. The infrared cloud radiative effect (CRE) at the surface is modulated by cloud properties; however, CRE also depends on humidity because clouds emit at wavelengths that are semi-transparent to greenhouse gases, most notably water vapour. Here we show how temperature and humidity control CRE through competing influences between the mid- and far-infrared. At constant relative humidity, CRE does not decrease with increasing temperature/absolute humidity as expected, but rather is found to be approximately constant for temperatures characteristic of the Arctic. This stability is disrupted if relative humidity varies. Ourmore » findings explain observed seasonal and regional variability in Arctic CRE of order 10Wm 2. With the physical properties of Arctic clouds held constant, we calculate recent increases in CRE of 1–5Wm 2 in autumn and winter, which are projected to reach 5–15Wm 2 by 2050, implying increased sensitivity of the surface to clouds.« less

  5. Humidity trends imply increased sensitivity to clouds in a warming Arctic

    SciTech Connect (OSTI)

    Cox, Christopher J.; Walden, Von P.; Rowe, Penny M.; Shupe, Matthew D.

    2015-12-10

    Infrared radiative processes are implicated in Arctic warming and sea-ice decline. The infrared cloud radiative effect (CRE) at the surface is modulated by cloud properties; however, CRE also depends on humidity because clouds emit at wavelengths that are semi-transparent to greenhouse gases, most notably water vapour. Here we show how temperature and humidity control CRE through competing influences between the mid- and far-infrared. At constant relative humidity, CRE does not decrease with increasing temperature/absolute humidity as expected, but rather is found to be approximately constant for temperatures characteristic of the Arctic. This stability is disrupted if relative humidity varies. Our findings explain observed seasonal and regional variability in Arctic CRE of order 10Wm 2. With the physical properties of Arctic clouds held constant, we calculate recent increases in CRE of 1–5Wm 2 in autumn and winter, which are projected to reach 5–15Wm 2 by 2050, implying increased sensitivity of the surface to clouds.

  6. Quantifying the impact of decay in bed-net efficacy on malaria transmission

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ngonghala, Calistus N.; Del Valle, Sara Y.; Zhao, Ruijun; Mohammed-Awel, Jemal

    2014-08-23

    Insecticide-treated nets (ITNs) are at the forefront of malaria control programs and even though the percentage of households in sub-Saharan Africa that owned nets increased from 3% in 2000 to 53% in 2012, many children continue to die from malaria. The potential impact of ITNs on reducing malaria transmission is limited due to inconsistent or improper use, as well as physical decay in effectiveness. Most mathematical models for malaria transmission have assumed a fixed effectiveness rate for bed-nets, which can overestimate the impact of nets on malaria control. We develop a model for malaria spread that captures the decrease inmoreITN effectiveness due to physical and chemical decay, as well as human behavior as a function of time. We perform uncertainty and sensitivity analyses to identify and rank parameters that play a critical role in malaria transmission. These analyses show that the basic reproduction number R0, and the infectious human population are most sensitive to bed-net coverage and the biting rate of mosquitoes. Our results show the existence of a backward bifurcation for the case in which ITN efficacy is constant over time, which occurs for some range of parameters and is characterized by high malaria mortality in humans. This result implies that bringing R0 to less than one is not enough for malaria elimination but rather additional efforts will be necessary to control the disease. For the case in which ITN efficacy decays over time, we determine coverage levels required to control malaria for different ITN efficacies and demonstrate that ITNs with longer useful lifespans perform better in malaria control. We conclude that malaria control programs should focus on increasing bed-net coverage, which can be achieved by enhancing malaria education and increasing bed-net distribution in malaria endemic regions.less

  7. Quantifying the impact of decay in bed-net efficacy on malaria transmission

    SciTech Connect (OSTI)

    Ngonghala, Calistus N.; Del Valle, Sara Y.; Zhao, Ruijun; Mohammed-Awel, Jemal

    2014-08-23

    Insecticide-treated nets (ITNs) are at the forefront of malaria control programs and even though the percentage of households in sub-Saharan Africa that owned nets increased from 3% in 2000 to 53% in 2012, many children continue to die from malaria. The potential impact of ITNs on reducing malaria transmission is limited due to inconsistent or improper use, as well as physical decay in effectiveness. Most mathematical models for malaria transmission have assumed a fixed effectiveness rate for bed-nets, which can overestimate the impact of nets on malaria control. We develop a model for malaria spread that captures the decrease in ITN effectiveness due to physical and chemical decay, as well as human behavior as a function of time. We perform uncertainty and sensitivity analyses to identify and rank parameters that play a critical role in malaria transmission. These analyses show that the basic reproduction number R0, and the infectious human population are most sensitive to bed-net coverage and the biting rate of mosquitoes. Our results show the existence of a backward bifurcation for the case in which ITN efficacy is constant over time, which occurs for some range of parameters and is characterized by high malaria mortality in humans. This result implies that bringing R0 to less than one is not enough for malaria elimination but rather additional efforts will be necessary to control the disease. For the case in which ITN efficacy decays over time, we determine coverage levels required to control malaria for different ITN efficacies and demonstrate that ITNs with longer useful lifespans perform better in malaria control. We conclude that malaria control programs should focus on increasing bed-net coverage, which can be achieved by enhancing malaria education and increasing bed-net distribution in malaria endemic regions.

  8. Definition of a 'Zero Net Energy' Community

    SciTech Connect (OSTI)

    Carlisle, N.; Van Geet, O.; Pless, S.

    2009-11-01

    This document provides a definition for a net zero-energy community. A community that offsets all of its energy use from renewables available within the community's built environment.

  9. ,"U.S. Blender Net Production"

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

    586-8800",,,"10272015 12:31:57 PM" "Back to Contents","Data 1: U.S. Blender Net Production" "Sourcekey","MEP00YPBNUSMBBL","MGFRZNUS1","MGRRZNUS1","MG1RZNUS1","MEPM0...

  10. ,"U.S. Refinery Net Production"

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

    586-8800",,,"10272015 12:31:05 PM" "Back to Contents","Data 1: U.S. Refinery Net Production" "Sourcekey","MTTRXNUS1","MLPRXNUS1","METRXNUS1","MENRXNUS1","MEYRXNUS1","...

  11. Next Update: December 2011 Net Internal Demand

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

    Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) 2005 746,470 882,125 15.4 45,950 50,200 8.5 38,266 46,792 18.2 57,402 72,258 20.6 2006 760,108 906,155 16.1 43,824 53,171 17.6 41,754 49,792 16.1 59,727 70,607 15.4 2007 768,061 946,631 18.9 46,434

  12. U.S. Virgin Islands- Net Metering

    Broader source: Energy.gov [DOE]

    In February 2007, the U.S. Virgin Islands Public Services Commission approved a limited net-metering program for residential and commercial photovoltaic (PV), wind-energy or other renewable energ...

  13. ,"Washington Natural Gas Underground Storage Net Withdrawals...

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

    ,,"(202) 586-8800",,,"1012015 11:00:57 AM" "Back to Contents","Data 1: Washington Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070WA2"...

  14. Murray City Power- Net Metering Pilot Program

    Broader source: Energy.gov [DOE]

    Under a pilot program, Murray City Power offers net metering to customers that generate electricity using photovoltaic (PV), wind-electric or hydroelectric systems with a maximum capacity of 10...

  15. June 25 Webinar to Explore Net Metering

    Office of Energy Efficiency and Renewable Energy (EERE)

    Register for the Net Metering webinar, which will be held on Wednesday, June 25, 2014, from 11 a.m. to 12:30 p.m. Mountain time.

  16. ,"California Natural Gas Underground Storage Net Withdrawals...

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

    ,,"(202) 586-8800",,,"01292016 2:35:44 PM" "Back to Contents","Data 1: California Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070CA2"...

  17. Farmington Electric Utility System- Net Metering

    Broader source: Energy.gov [DOE]

    Farmington Electric, a municipal utility, offers net metering to residential customers with systems up to 10 kilowatts (kW) in capacity. This option is available for photovoltaic (PV), wind, hydro...

  18. TacNet Tracker - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Startup America Startup America Energy Analysis Energy Analysis Electricity Transmission Electricity Transmission Find More Like This Return to Search TacNet Tracker Handheld Tracking and Communications Device Sandia National Laboratories Contact SNL About This Technology Publications: PDF Document Publication Market Sheet (877 KB) Technology Marketing SummaryThe TacNet Tracker is designed to transport information securely via portable handheld units without the need for fixed infrastructure.

  19. Green Pricing and Net Metering Programs 2010

    Gasoline and Diesel Fuel Update (EIA)

    Green Pricing and Net Metering Programs 2010 September 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Green Pricing and Net Metering Programs 2010 i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or

  20. Working and Net Available Shell Storage Capacity

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

    Working and Net Available Shell Storage Capacity November 2015 With Data as of September 30, 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Working and Net Available Shell Storage Capacity as of September 30, 2015 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and

  1. U.S. Natural Gas International & Interstate Receipts (Million Cubic Feet)

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

    Receipts (Million Cubic Feet) U.S. Natural Gas International & Interstate Receipts (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 149,032 1980's 148,910 144,249 147,888 147,172 1990's 55,348,260 61,081,540 64,500,580 66,427,622 64,741,721 58,773,312 61,392,733 2000's 62,797,780 70,290,945 67,993,634 70,468,088 69,271,464 67,925,925 66,564,057 71,921,405 74,671,042 76,068,752 2010's 78,835,235 78,241,063 73,393,413 67,088,737

  2. New York Natural Gas Imports (No intransit Receipts) (Million Cubic Feet)

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

    (No intransit Receipts) (Million Cubic Feet) New York Natural Gas Imports (No intransit Receipts) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 24,139 22,348 29,326 47,677 35,720 52,013 70,993 67,956 1990's 98,217 188,233 435,470 502,701 562,267 630,321 652,578 656,332 666,256 754,484 2000's 832,761 718,982 787,619 761,859 785,055 856,107 865,952 892,283 780,862 640,119 2010's 434,526 324,474 278,422 233,453 200,394 - = No Data Reported;

  3. Minnesota Natural Gas Underground Storage Net Withdrawals (Million...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Underground Storage Net Withdrawals (Million Cubic Feet) Minnesota Natural Gas Underground ... Net Withdrawals of Natural Gas from Underground Storage - All Operators Minnesota ...

  4. US Crude Oil Production Surpasses Net Imports | Department of...

    Office of Environmental Management (EM)

    US Crude Oil Production Surpasses Net Imports US Crude Oil Production Surpasses Net Imports Source: Energy Information Administration Short Term Energy Outlook. Chart by Daniel...

  5. Army Net Zero: Guide to Renewable Energy Conservation Investment...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Army Net Zero: Guide to Renewable Energy Conservation Investment Program (ECIP) Projects Army Net Zero: Guide to Renewable Energy Conservation Investment Program (ECIP) Projects...

  6. US Crude Oil Production Surpasses Net Imports | Department of...

    Energy Savers [EERE]

    US Crude Oil Production Surpasses Net Imports US Crude Oil Production Surpasses Net Imports Source: Energy Information Administration Short Term Energy Outlook. Chart by Daniel ...

  7. Nevada Renewable Energy Application For Net Metering Customers...

    Open Energy Info (EERE)

    Renewable Energy Application For Net Metering Customers Jump to: navigation, search OpenEI Reference LibraryAdd to library Form: Nevada Renewable Energy Application For Net...

  8. Tennessee Natural Gas Underground Storage Net Withdrawals (Million...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Underground Storage Net Withdrawals (Million Cubic Feet) Tennessee Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct...

  9. Lessons Learned from Net Zero Energy Assessments and Renewable...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lessons Learned from Net Zero Energy Assessments and Renewable Energy Projects at Military Installations Lessons Learned from Net Zero Energy Assessments and Renewable Energy...

  10. Texas Natural Gas Underground Storage Net Withdrawals (Million...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Underground Storage Net Withdrawals (Million Cubic Feet) Texas Natural Gas Underground ... Net Withdrawals of Natural Gas from Underground Storage - All Operators Texas Underground ...

  11. AGA Producing Regions Natural Gas Underground Storage Net Withdrawals...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AGA Producing Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) AGA Producing Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic...

  12. Best Practices for Controlling Capital Costs in Net Zero Energy...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Best Practices for Controlling Capital Costs in Net Zero Energy Design and Construction - 2014 BTO Peer Review Best Practices for Controlling Capital Costs in Net Zero Energy ...

  13. Net Zero Waste - Tools and Technical Support ...and other observations...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Net Zero Waste - Tools and Technical Support ...and other observations Net Zero Waste - Tools and Technical Support ...and other observations Presentation at Waste-to-Energy using...

  14. Estimation of net primary productivity using a process-based...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China Citation Details In-Document Search Title: Estimation of net ...

  15. Ontological Annotation with WordNet

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.; Tratz, Stephen C.; Gregory, Michelle L.; Chappell, Alan R.; Whitney, Paul D.; Posse, Christian; Paulson, Patrick R.; Baddeley, Bob; Hohimer, Ryan E.; White, Amanda M.

    2006-06-06

    Semantic Web applications require robust and accurate annotation tools that are capable of automating the assignment of ontological classes to words in naturally occurring text (ontological annotation). Most current ontologies do not include rich lexical databases and are therefore not easily integrated with word sense disambiguation algorithms that are needed to automate ontological annotation. WordNet provides a potentially ideal solution to this problem as it offers a highly structured lexical conceptual representation that has been extensively used to develop word sense disambiguation algorithms. However, WordNet has not been designed as an ontology, and while it can be easily turned into one, the result of doing this would present users with serious practical limitations due to the great number of concepts (synonym sets) it contains. Moreover, mapping WordNet to an existing ontology may be difficult and requires substantial labor. We propose to overcome these limitations by developing an analytical platform that (1) provides a WordNet-based ontology offering a manageable and yet comprehensive set of concept classes, (2) leverages the lexical richness of WordNet to give an extensive characterization of concept class in terms of lexical instances, and (3) integrates a class recognition algorithm that automates the assignment of concept classes to words in naturally occurring text. The ensuing framework makes available an ontological annotation platform that can be effectively integrated with intelligence analysis systems to facilitate evidence marshaling and sustain the creation and validation of inference models.

  16. Automating Ontological Annotation with WordNet

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.; Tratz, Stephen C.; Gregory, Michelle L.; Chappell, Alan R.; Whitney, Paul D.; Posse, Christian; Paulson, Patrick R.; Baddeley, Bob L.; Hohimer, Ryan E.; White, Amanda M.

    2006-01-22

    Semantic Web applications require robust and accurate annotation tools that are capable of automating the assignment of ontological classes to words in naturally occurring text (ontological annotation). Most current ontologies do not include rich lexical databases and are therefore not easily integrated with word sense disambiguation algorithms that are needed to automate ontological annotation. WordNet provides a potentially ideal solution to this problem as it offers a highly structured lexical conceptual representation that has been extensively used to develop word sense disambiguation algorithms. However, WordNet has not been designed as an ontology, and while it can be easily turned into one, the result of doing this would present users with serious practical limitations due to the great number of concepts (synonym sets) it contains. Moreover, mapping WordNet to an existing ontology may be difficult and requires substantial labor. We propose to overcome these limitations by developing an analytical platform that (1) provides a WordNet-based ontology offering a manageable and yet comprehensive set of concept classes, (2) leverages the lexical richness of WordNet to give an extensive characterization of concept class in terms of lexical instances, and (3) integrates a class recognition algorithm that automates the assignment of concept classes to words in naturally occurring text. The ensuing framework makes available an ontological annotation platform that can be effectively integrated with intelligence analysis systems to facilitate evidence marshaling and sustain the creation and validation of inference models.

  17. Chapter 17: Estimating Net Savings: Common Practices

    SciTech Connect (OSTI)

    Violette, D. M.; Rathbun, P.

    2014-09-01

    This chapter focuses on the methods used to estimate net energy savings in evaluation, measurement, and verification (EM&V) studies for energy efficiency (EE) programs. The chapter provides a definition of net savings, which remains an unsettled topic both within the EE evaluation community and across the broader public policy evaluation community, particularly in the context of attribution of savings to particular program. The chapter differs from the measure-specific Uniform Methods Project (UMP) chapters in both its approach and work product. Unlike other UMP resources that provide recommended protocols for determining gross energy savings, this chapter describes and compares the current industry practices for determining net energy savings, but does not prescribe particular methods.

  18. net_energy_load_2006.xls

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, 2006 and Projected 2007 through 2011 (Thousands of Megawatthours and 2006 Base Year) Net Energy For Load (Annual) Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year FRCC MRO (U.S.) NPCC (U.S.) RFC SERC SPP ERCOT WECC (U.S.) 2006 3,911,914 230,115 222,748 294,319 926,279 1,011,173 201,521 305,672 720,087 Projected Contiguous U.S. FRCC MRO (U.S.) NPCC

  19. Bragg Experimental SensorNet Testbed (BEST)

    SciTech Connect (OSTI)

    Gorman, Bryan

    2010-01-25

    The principal causative objectives of BEST were to consolidate the 9-1-1 and emergency response services into an Integrated Incident Management Center (I2MC) and to establish an 'Interoperability framework' based on SensorNet protocols to allow additional components to be added to the I2MC over time.

  20. Method for net-shaping using aerogels

    DOE Patents [OSTI]

    Brinker, C. Jeffrey; Ashey, Carol S.; Reed, Scott T.; Sriram, Chunangad S.; Harris, Thomas M.

    2001-01-01

    A method of net-shaping using aerogel materials is provided by first forming a sol, aging the sol to form a gel, with the gel having a fluid component and having been formed into a medium selected from the group consisting of a powder, bulk material, or granular aerobeads, derivatizing the surface of the gel to render the surface unreactive toward further condensation, removing a portion of the fluid component of the final shaped gel to form a partially dried medium, placing the medium into a cavity, wherein the volume of said medium is less that the volume of the cavity, and removing a portion of the fluid component of the medium. The removal, such as by heating at a temperature of approximately less than 50.degree. C., applying a vacuum, or both, causes the volume of the medium to increase and to form a solid aerogel. The material can be easily removed by exposing the material to a solvent, thereby reducing the volume of the material. In another embodiment, the gel is derivatized and then formed into a shaped medium, where subsequent drying reduces the volume of the shaped medium, forming a net-shaping material. Upon further drying, the material increases in volume to fill a cavity. The present invention is both a method of net-shaping and the material produced by the method.

  1. SCE&G - Net Metering | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    of net metering programs offered by the IOUs. South Carolina Electric & Gas (SCE&G) designed two net-metering options for its South Carolina customers. These options are...

  2. ,"Virginia Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    AM" "Back to Contents","Data 1: Virginia Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070VA2" "Date","Virginia Natural Gas Underground Storage Net ...

  3. ,"New Mexico Natural Gas Underground Storage Net Withdrawals...

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

    AM" "Back to Contents","Data 1: New Mexico Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070NM2" "Date","New Mexico Natural Gas Underground Storage Net ...

  4. American PowerNet (Maine) | Open Energy Information

    Open Energy Info (EERE)

    PowerNet (Maine) Jump to: navigation, search Name: American PowerNet Place: Maine Phone Number: (877) 977-2636 Website: americanpowernet.com Outage Hotline: (877) 977-2636...

  5. ,"Oklahoma Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    AM" "Back to Contents","Data 1: Oklahoma Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070OK2" "Date","Oklahoma Natural Gas Underground Storage Net ...

  6. Tennessee Natural Gas LNG Storage Net Withdrawals (Million Cubic...

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

    Net Withdrawals (Million Cubic Feet) Tennessee Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 ...

  7. Instructions for Submitting Document to OpenNet | Department...

    Energy Savers [EERE]

    an OpenNet Logon Name and Password. If you don't already have one, go to the OpenNet web site at: http:www.osti.govopennet. Click on the LOGIN link on the top right. Read...

  8. NREL: Technology Deployment - Net Zero Energy and Energy Security Measures

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Being Replicated Across the Military Net Zero Energy and Energy Security Measures Being Replicated Across the Military News MCAS Miramar 'Flip the Switch' Ceremony Celebrates Renewable Energy Facility Energy Assurance Only Microgrid Away Publications Targeting Net Zero Energy at Marine Corps Air Station Miramar: Assessment and Recommendations Army Net Zero Energy Roadmap and Program Summary Net Zero Energy Military Installations: A Guide to Assessment and Planning DOE, NREL Help DOD Enhance

  9. Overcoming Net Metering and Interconnection Objections: New Jersey MSR Partnership

    SciTech Connect (OSTI)

    Not Available

    2005-09-01

    This fact sheet explains how the New Jersey MSR Partnership successfully revised net metering rules to make solar installations easier.

  10. Lake Roosevelt Volunteer Net Pens, Lake Roosevelt Rainbow Trout Net Pens, 2002-2003 Annual Report.

    SciTech Connect (OSTI)

    Smith, Gene

    2003-11-01

    The completion of Grand Coulee Dam for power production, flood control, and irrigation resulted in the creation of a blocked area above the dam and in the loss of anadromous fish. Because of lake level fluctuations required to meet the demands for water release or storage, native or indigenous fish were often threatened. For many years very little effort was given to stocking the waters above the dam. However, studies by fish biologists showed that there was a good food base capable of supporting rainbow and kokanee (Gangmark and Fulton 1949, Jagielo 1984, Scholz etal 1986, Peone etal 1990). Further studies indicated that artificial production might be a way of restoring or enhancing the fishery. In the 1980's volunteers experimented with net pens. The method involved putting fingerlings in net pens in the fall and rearing them into early summer before release. The result was an excellent harvest of healthy fish. The use of net pens to hold the fingerlings for approximately nine months appears to reduce predation and the possibility of entrainment during draw down and to relieve the hatcheries to open up available raceways for future production. The volunteer net pen program grew for a few years but raising funds to maintain the pens and purchase food became more and more difficult. In 1995 the volunteer net pen project (LRDA) was awarded a grant through the Northwest Power Planning Council's artificial production provisions.

  11. Innovation and Success in Solar Net Metering and Interconnection |

    Broader source: Energy.gov (indexed) [DOE]

    Department of Energy the latest developments in solar net metering and interconnection. PDF icon webinar_080713_solar_net_metering_connection.pdf More Documents & Publications webinar_innovation_net_metering_interconnection.doc PRESENTATION: OVERVIEW OF THE SUNSHOT INITIATIVE Final Report - Chicago Region Solar Market Transformation Team

  12. Working and Net Available Shell Storage Capacity

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

    Net Available Shell Storage Capacity of Terminals and Tank Farms as of September 30, 2015 (Thousand Barrels, Except Where Noted) Commodity 2 3 4 5 U.S. Total Crude Oil (Excluding SPR) Capacity In Operation 6,686 150,637 260,493 20,397 34,423 472,636 Percent Exclusive Use 2 79% 39% 66% 89% 76% 59% Percent Leased to Others 21% 61% 34% 11% 24% 41% Cushing, Oklahoma Capacity In Operation -- 87,685 -- -- -- 87,685 Percent Exclusive Use 2 -- 17% -- -- -- 17% Percent Leased to Others -- 83% -- -- --

  13. ARM - Reading netCDF, HDF, and GRIB Files

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govDataReading netCDF, HDF, and GRIB Files Reading netCDF, HDF, and GRIB Files netCDF Files Most ARM data are stored in netCDF format. This format allows for the definition of data fields and storage of operational information in the header of the file. All ARM netCDF files are in UTC time and represent time as "seconds since January 1, 1970,'' which is called the "epoch time.'' For example, an epoch time of 1 means "Thu Jan 1 00:00:01 1970''; an epoch time of 992794875 is

  14. Fact #837: September 8, Gap between Net Imports and Total Imports...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Net Imports and Total Imports of Petroleum is Widening Fact 837: September 8, Gap between Net Imports and Total Imports of Petroleum is Widening Net imports of petroleum ...

  15. Community Net Energy Metering: How Novel Policies Expand Benefits of Net Metering to Non-Generators

    SciTech Connect (OSTI)

    Rose, James; Varnado, Laurel

    2009-04-01

    As interest in community solutions to renewable energy grows, more states are beginning to develop policies that encourage properties with more than one meter to install shared renewable energy systems. State net metering policies are evolving to allow the aggregation of multiple meters on a customer???¢????????s property and to dissolve conventional geographical boundaries. This trend means net metering is expanding out of its traditional function as an enabling incentive to offset onsite customer load at a single facility. This paper analyzes community net energy metering (CNEM) as an emerging vehicle by which farmers, neighborhoods, and municipalities may more easily finance and reap the benefits of renewable energy. Specifically, it aims to compare and contrast the definition of geographical boundaries among different CNEM models and examine the benefits and limitations of each approach. As state policies begin to stretch the geographic boundaries of net metering, they allow inventive solutions to encourage renewable energy investment. This paper attempts to initiate the conversation on this emerging policy mechanism and offers recommendations for further development of these policies.

  16. Green Pricing and Net Metering Programs 2010

    Gasoline and Diesel Fuel Update (EIA)

    5 Table 2. Estimated U.S. net metering customers by State/territory and customer class, 2010 and 2009 State Electric Industry Participants 2010 1 Participating Customers 2010 2009 Residential Non- Residential Total Total Alabama 1 12 8 20 2 Alaska 2 4 4 8 - Arizona 14 8,192 367 8,559 3,839 Arkansas 11 126 11 137 63 California 32 81,556 4,939 86,495 53,187 Colorado 32 8,509 1,267 9,776 7,804 Connecticut 3 264 50 314 1,348 Delaware 4 671 139 810 590 District of Columbia 2 256 21 277 104 Florida 35

  17. OglNet Version 13(SOPHIA)

    Energy Science and Technology Software Center (OSTI)

    2012-08-09

    OglNet is designed to capture and visualize network packets as they move from their source to intended destination. This creates a three dimensional representation of an active network and can show misconfigured components, potential security breaches and possible hostile network traffic. This visual representation is customizable by the user and also includes how network components interact with servers around the world. The software is able to process live or real time traffic feeds as wellmore » as offline historical network packet captures. As packets are read into the system, they are processed and visualized in an easy to understand display that includes network names, IP addresses, and global positioning. The software can process and display up to six million packets per second.« less

  18. net_energy_load_2003.xls

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

    3 and Projected 2004 through 2008 (Thousands of Megawatthours and 2003 Base Year) Net Energy For Load (Annual) Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year ECAR FRCC MAAC MAIN MAPP (U.S.) NPCC (U.S.) SERC SPP ERCOT WECC (U.S.) 1990 2,886,496 442,507 142,502 221,099 197,326 127,102 250,681 485,205 252,037 209,789 558,248 1991 2,941,669 450,586 146,903 228,588 205,880 129,826 253,701 501,794 257,434 211,568 555,389 1992 2,942,910 450,853 147,464

  19. net_energy_load_2004.xls

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

    4 and Projected 2005 through 2009 (Thousands of Megawatthours and 2004 Base Year) Net Energy For Load (Annual) Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year ECAR FRCC MAAC MAIN MAPP/MRO (U.S.) NPCC (U.S.) SERC SPP ERCOT WECC (U.S.) 1990 2,886,496 442,507 142,502 221,099 197,326 127,102 250,681 485,205 252,037 209,789 558,248 1991 2,941,669 450,586 146,903 228,588 205,880 129,826 253,701 501,794 257,434 211,568 555,389 1992 2,942,910 450,853

  20. net_energy_load_2005.xls

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

    2005 and Projected 2006 through 2010 (Thousands of Megawatthours and 2005 Base Year) Net Energy For Load (Annual) Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year FRCC MRO (U.S.) NPCC (U.S.) RFC SERC SPP ERCOT WECC (U.S.) 2005 3,900,461 226,544 216,633 303,607 1,005,226 962,054 201,548 299,225 685,624 Projected Contiguous U.S. FRCC MRO (U.S.) NPCC (U.S.) RFC SERC SPP ERCOT WECC (U.S.) In 2005 for 2006 3,926,389 232,561 220,006 301,893 992,742

  1. net_energy_load_2010.xls

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Assessment Area, 1990-2010 Actual, 2011-2015 Projected (Thousands of Megawatthours) Interconnection NERC Regional Assesment Area 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 FRCC 142,502 146,903 147,464 153,468 159,861 169,021 173,377 175,557 188,384 188,598 196,561 200,134 211,116 NPCC 250,681 253,701 252,256 257,447 259,947 261,235 263,125 264,464 268,309 277,902 281,518 282,670

  2. Working and Net Available Shell Storage Capacity

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

    Net Available Shell Storage Capacity by PAD District as of September 30, 2015 (Thousand Barrels) Commodity In Operation Idle 1 In Operation Idle 1 In Operation Idle 1 In Operation Idle 1 In Operation Idle 1 In Operation Idle 1 Refineries Crude Oil 16,853 981 24,677 733 91,650 2,192 4,748 137 40,924 2,201 178,852 6,244 Fuel Ethanol 174 - 171 - 309 - 144 6 77 9 875 15 Natural Gas Plant Liquids and Liquefied Refinery Gases 2 1,328 21 12,256 270 31,315 92 608 1 2,470 - 47,977 384 Propane/Propylene

  3. NREL: Technology Deployment - Hawaii's First Net-Zero Energy Affordable

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Housing Community Hawaii's First Net-Zero Energy Affordable Housing Community News Kaupuni Village: The First Net-Zero Affordable Housing Community in Hawaii Publications Kaupuni Village: A Closer Look at the First Net-Zero Energy Affordable Housing Community in Hawaii Hawaii Clean Energy Initiative Existing Building Energy Efficiency Analysis Sponsors State of Hawaii U.S. Department of Energy Key Partners Department of Hawaiian Homelands Hawaiian Homelands Trust Group 70 International

  4. Lessons Learned from Net Zero Energy Assessments and Renewable Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Projects at Military Installations | Department of Energy Lessons Learned from Net Zero Energy Assessments and Renewable Energy Projects at Military Installations Lessons Learned from Net Zero Energy Assessments and Renewable Energy Projects at Military Installations Report highlights the increase in resources, project speed, and scale required to achieve the U.S. Department of Defense (DoD) energy efficiency and renewable energy goals. It also summarizes the net zero energy installation

  5. Aggregate Net Metering Opportunities for Local Governments | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Aggregate Net Metering Opportunities for Local Governments Aggregate Net Metering Opportunities for Local Governments This guide summarizes the variations in state laws that determine whether or not meter aggregation is an option for local governments, explores the unique opportunities that it can extend to public-sector photovoltaic projects, and describes the important details that must be considered when promoting or pursuing such a policy. Aggregate net metering is the practice of

  6. Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation Case study details the General Services Administration's (GSA) decision to align historic preservation renovations with zero energy goals in the Wayne N. Aspinall Federal Building and U.S. Courthouse in Grand Junction, Colorado. PDF icon Download the

  7. ARM - Reading netCDF, HDF, and GRIB Files

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    DocumentationReading netCDF, HDF, and GRIB Files Policies, Plans, Descriptions Data Documentation Home Data Sharing and Distribution Policy Data Management and Documentation Plan Data Product Registration and Submission Statement on Digital Data Management Guidelines for Integrating Data Products and Algorithms to ARM Data Libraries Reading netCDF and HDF Data Files Time in ARM netCDF Data Files Data Archive Documentation ARM Archive's Catalog of Data Streams (Updated monthly) Access to

  8. Designing Hawaii's First LEED Platinum Net Zero Community: Kaupuni

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Village | Department of Energy Designing Hawaii's First LEED Platinum Net Zero Community: Kaupuni Village Designing Hawaii's First LEED Platinum Net Zero Community: Kaupuni Village U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Community Renewable Energy (CommRE) success stories Kaupuni Village net zero energy community; energy efficiency in buildings; PV and photovoltaics. PDF icon webinar_hawaii_kaupuni.pdf More Documents & Publications Kaupuni

  9. Net Withdrawals of Natural Gas from Underground Storage (Summary...

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

    Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease ... Industrial Vehicle Fuel Electric Power Period: Monthly Annual Download Series ...

  10. Aspinall Courthouse: GSA's Historic Preservation and Net-Zero...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    historic preservation renovations with net-zero energy goals in the Wayne N. Aspinall Federal Building and U.S. Courthouse in Grand Junction, Colorado. aspinallcourthouse.pdf...

  11. Vermont Construction and Operation of Net Metering Systems Rules...

    Open Energy Info (EERE)

    rule is applicable to all net metered installations in Vermont, and applies to every person, firm, company, corporation and municipality engaged in the construction or operation...

  12. Vermont Construction and Operation of Net Metering Systems Rule...

    Open Energy Info (EERE)

    rule is applicable to all net metered installations in Vermont, and applies to every person, firm, company, corporation and municipality engaged in the construction or operation...

  13. ,"U.S. Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    ...dnavnghistn5070us2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: U.S. Natural Gas Underground Storage Net Withdrawals (MMcf)" ...

  14. ,"Nevada Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ...nghistna1350snv2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  15. ,"Tennessee Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ...nghistna1350stn2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  16. ,"Nebraska Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ...nghistna1350sne2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  17. ,"Washington Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ...nghistna1350swa2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  18. ,"Missouri Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ...nghistna1350smo2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  19. ,"Virginia Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ...nghistna1350sva2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  20. ,"Maryland Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ...nghistna1350smd2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  1. ,"Oregon Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ...nghistna1350sor2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  2. ,"U.S. Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    ...dnavnghistn5070us2m.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: U.S. Natural Gas Underground Storage Net Withdrawals (MMcf)" ...

  3. ,"Minnesota Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ...nghistna1350smn2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  4. Deep Energy Efficiency and Getting to Net Zero

    Broader source: Energy.gov [DOE]

    Presentation covers energy efficiency and getting to net zero and is given at the Spring 2011 Federal Utility Partnership Working Group (FUPWG) meeting.

  5. CHARACTERIZATION OF NEAR NET-SHAPE CASTABLE RARE EARTH MODIFIED...

    Office of Scientific and Technical Information (OSTI)

    CHARACTERIZATION OF NEAR NET-SHAPE CASTABLE RARE EARTH MODIFIED ALUMINUM ALLOYS FOR HIGH TEMPERATURE APPLICATION Citation Details In-Document Search Title: CHARACTERIZATION OF NEAR ...

  6. Net Zero Energy Military Installations: A Guide to Assessment...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    to reduce energy demand and increase use of renewable energy on DoD installations. PDF icon 48876.pdf More Documents & Publications Lessons Learned from Net Zero Energy...

  7. Texas Natural Gas LNG Storage Net Withdrawals (Million Cubic...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Release Date: 4292016 Next Release Date: 5312016 Referring Pages: Net Withdrawals of Liquefied Natural Gas from Storage Texas Liquefied Natural Gas Additions to and Withdrawals ...

  8. GEO NET Umweltconsulting GmbH | Open Energy Information

    Open Energy Info (EERE)

    search Name: GEO-NET Umweltconsulting GmbH Place: Hannover, Germany Zip: 30161 Sector: Wind energy Product: Undertakes environmental planning and consulting in wind and other...

  9. ARM - Time in ARM NetCDF Files

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govDataTime in ARM NetCDF Files Page Contents Introduction Time Zones Epoch Time Time Variables Conversion Examples and Hints Perl Example C Example Fortran Example IDL Example Notes on Generating Epoch Times Contact Information Time in ARM NetCDF Files Introduction This document explains most of the issues related to the use of time in ARM netCDF data files. Time Zones All ARM netCDF files are in UTC. Note that this has some implications for solar-based data; we tend to split our files at

  10. Redbird Red Habitat for Humanity Net Zero Energy Home Project...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Redbird Red Habitat for Humanity Net Zero Energy Home Project Summary The Illinois State University team incorporated Habitat for Humanity's goals and constraints during the design ...

  11. Net Requirements Transparency Process for Slice/Block Customers

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4, 2012 Net Requirements Transparency Process for SliceBlock Customers Description of Changes and a Response to Comments September 24, 2012 Background and Description of Changes:...

  12. Net Zero Energy Military Installations: A Guide to Assessment...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Net Zero Energy Military Installations: A Guide to Assessment and Planning Samuel Booth, John Barnett, Kari Burman, Josh Hambrick and Robert Westby Technical Report NREL...

  13. Power Net Revenue Improvement Sounding Board (aboutpbl/financial...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Related Web Sites Power Services Organization Power Services Financial Information Net Revenue Sounding Board Tribal Affairs Office Account Executives Customer Service Centers...

  14. ,"Massachusetts Natural Gas LNG Storage Net Withdrawals (MMcf...

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

    ...nghistna1350sma2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: Massachusetts Natural Gas LNG Storage Net Withdrawals (MMcf)" ...

  15. ,"North Carolina Natural Gas LNG Storage Net Withdrawals (MMcf...

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

    ...nghistna1350snc2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: North Carolina Natural Gas LNG Storage Net Withdrawals (MMcf)" ...

  16. ,"New Hampshire Natural Gas LNG Storage Net Withdrawals (MMcf...

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

    ...nghistna1350snh2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: New Hampshire Natural Gas LNG Storage Net Withdrawals (MMcf)" ...

  17. Table 11.2 Electricity: Components of Net Demand, 2010;

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

    Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Electricity Components; Unit: Million ...

  18. Receipt of Guideline-Concordant Treatment in Elderly Prostate Cancer Patients

    SciTech Connect (OSTI)

    Chen, Ronald C., E-mail: Ronald_chen@med.unc.edu [Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Carpenter, William R. [Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Hendrix, Laura H. [Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Bainbridge, John [Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Wang, Andrew Z. [Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Nielsen, Matthew E. [Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Department of Urology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); and others

    2014-02-01

    Purpose: To examine the proportion of elderly prostate cancer patients receiving guideline-concordant treatment, using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database. Methods and Materials: A total of 29,001 men diagnosed in 2004-2007 with localized prostate cancer, aged 66 to 79 years, were included. We characterized the proportion of men who received treatment concordant with the National Comprehensive Cancer Network guidelines, stratified by risk group and age. Logistic regression was used to examine covariates associated with receipt of guideline-concordant management. Results: Guideline concordance was 79%-89% for patients with low- or intermediate-risk disease. Among high-risk patients, 66.6% of those aged 66-69 years received guideline-concordant management, compared with 51.9% of those aged 75-79 years. Discordance was mainly due to conservative managementno treatment or hormone therapy alone. Among the subgroup of patients aged ?76 years with no measured comorbidity, findings were similar. On multivariable analysis, older age (75-79 vs 66-69 years, odds ratio 0.51, 95% confidence interval 0.50-0.57) was associated with a lower likelihood of guideline concordance for high-risk prostate cancer, but comorbidity was not. Conclusions: There is undertreatment of elderly but healthy patients with high-risk prostate cancer, the most aggressive form of this disease.

  19. Computation and control with neural nets

    SciTech Connect (OSTI)

    Corneliusen, A.; Terdal, P.; Knight, T.; Spencer, J.

    1989-10-04

    As energies have increased exponentially with time so have the size and complexity of accelerators and control systems. NN may offer the kinds of improvements in computation and control that are needed to maintain acceptable functionality. For control their associative characteristics could provide signal conversion or data translation. Because they can do any computation such as least squares, they can close feedback loops autonomously to provide intelligent control at the point of action rather than at a central location that requires transfers, conversions, hand-shaking and other costly repetitions like input protection. Both computation and control can be integrated on a single chip, printed circuit or an optical equivalent that is also inherently faster through full parallel operation. For such reasons one expects lower costs and better results. Such systems could be optimized by integrating sensor and signal processing functions. Distributed nets of such hardware could communicate and provide global monitoring and multiprocessing in various ways e.g. via token, slotted or parallel rings (or Steiner trees) for compatibility with existing systems. Problems and advantages of this approach such as an optimal, real-time Turing machine are discussed. Simple examples are simulated and hardware implemented using discrete elements that demonstrate some basic characteristics of learning and parallelism. Future microprocessors' are predicted and requested on this basis. 19 refs., 18 figs.

  20. Targeting Net Zero Energy for Military Installations (Presentation)

    SciTech Connect (OSTI)

    Burman, K.

    2012-05-01

    Targeting Net Zero Energy for Military Installations in Kaneohe Bay, Hawaii. A net zero energy installation (NZEI) is one that produces as much energy from on-site renewable sources as it consumes. NZEI assessment provides a systematic approach to energy projects.

  1. Electrohydraulic Forming of Near Net Shape Automotive Panels | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Electrohydraulic Forming of Near Net Shape Automotive Panels Electrohydraulic Forming of Near Net Shape Automotive Panels PDF icon electrohydraulic_forming.pdf More Documents & Publications Advance Patent Waiver W(A)2010-017 Vehicle Technologies Office: 2010 Lightweight Materials R&D Annual Progress Report 2011 Annual Progress Report for Lightweighting Materials

  2. Rhode Island Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Rhode Island Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's -6 411 541 1990's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Natural

  3. South Carolina Natural Gas Underground Storage Net Withdrawals All

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

    Operators (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) South Carolina Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's -6 -27 46 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Natural

  4. Wisconsin Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Wisconsin Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's -166 331 428 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Natural Gas from

  5. Connecticut Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Connecticut Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's -242 501 1,271 1990's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of

  6. Delaware Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Delaware Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's -294 -245 699 1970's 211 -189 -255 -549 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net

  7. Georgia Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Georgia Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's -90 -339 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Natural Gas from

  8. Idaho Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Idaho Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's -112 -395 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Natural Gas from Underground

  9. Maine Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Maine Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -86 15 -85 5 12 6 0 0 4 1990's -4 1 4 -2 5 3 4 -2 17 15 2000's 12 0 6 51 22 34 18 -21 0 -33 2010's -25 -18 2 1 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net

  10. Missouri Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Missouri Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 -26 -13 -14 47 -10 5 10 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Liquefied

  11. Alaska Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Alaska Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's -2,581 1980's 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's -1 1 0 0 0 0 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Liquefied

  12. Colorado Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Colorado Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Liquefied Natural Gas

  13. North Carolina Natural Gas Underground Storage Net Withdrawals All

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

    Operators (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) North Carolina Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's -97 -143 -109 1990's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net

  14. Alaska Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Alaska Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's -16,327 -13,253 -15,555 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Natural Gas

  15. Muddy Water? Variation in Reporting Receipt of Breast Cancer Radiation Therapy by Population-Based Tumor Registries

    SciTech Connect (OSTI)

    Walker, Gary V.; Giordano, Sharon H.; Williams, Melanie; Jiang, Jing; Niu, Jiangong; MacKinnon, Jill; Anderson, Patricia; Wohler, Brad; Sinclair, Amber H.; Boscoe, Francis P.; Schymura, Maria J.; Buchholz, Thomas A.; Smith, Benjamin D.

    2013-07-15

    Purpose: To evaluate, in the setting of breast cancer, the accuracy of registry radiation therapy (RT) coding compared with the gold standard of Medicare claims. Methods and Materials: Using Surveillance, Epidemiology, and End Results (SEER)–Medicare data, we identified 73,077 patients aged ≥66 years diagnosed with breast cancer in the period 2001-2007. Underascertainment (1 - sensitivity), sensitivity, specificity, κ, and χ{sup 2} were calculated for RT receipt determined by registry data versus claims. Multivariate logistic regression characterized patient, treatment, and geographic factors associated with underascertainment of RT. Findings in the SEER–Medicare registries were compared with three non-SEER registries (Florida, New York, and Texas). Results: In the SEER–Medicare registries, 41.6% (n=30,386) of patients received RT according to registry coding, versus 49.3% (n=36,047) according to Medicare claims (P<.001). Underascertainment of RT was more likely if patients resided in a newer SEER registry (odds ratio [OR] 1.70, 95% confidence interval [CI] 1.60-1.80; P<.001), rural county (OR 1.34, 95% CI 1.21-1.48; P<.001), or if RT was delayed (OR 1.006/day, 95% CI 1.006-1.007; P<.001). Underascertainment of RT receipt in SEER registries was 18.7% (95% CI 18.6-18.8%), compared with 44.3% (95% CI 44.0-44.5%) in non-SEER registries. Conclusions: Population-based tumor registries are highly variable in ascertainment of RT receipt and should be augmented with other data sources when evaluating quality of breast cancer care. Future work should identify opportunities for the radiation oncology community to partner with registries to improve accuracy of treatment data.

  16. San Antonio City Public Service (CPS Energy)- Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available to customers of CPS Energy. There is no aggregate capacity limit or maximum system size. There are also no commissioning fees or facilities charges for customers.

  17. Net-Zero Energy Retail Store Debuts in Illinois

    Broader source: Energy.gov [DOE]

    Walgreens on November 21 opened a net-zero energy retail store in Evanston, Illinois that it anticipates will generate at least as much energy as it consumes over the course of a year.

  18. U.S. Total Weekly Refiner & Blender Net Production

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    & Blender Net Production (Thousand Barrels per Day) Area: U.S. PADD 1 New England Central Atlantic Lower Atlantic PADD 2 PADD 3 PADD 4 PADD 5 PADD's 4 & 5 Period: Weekly 4-Week...

  19. ,"West Virginia Natural Gas Underground Storage Net Withdrawals...

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

    "Back to Contents","Data 1: West Virginia Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070WV2" "Date","West Virginia Natural Gas Underground Storage ...

  20. Net Requirements Transparency Process for Slice/Block and Block...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 As part of its Net Requirements Transparency process, on July 31, 2013 BPA published the SliceBlock and Block customers' FY2012 and forecast FY2014 Total Retail Load (TRL) and...

  1. ,"U.S. Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    for" ,"Data 1","U.S. Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ...nghistna1350nus2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  2. Renewable Generation Effect on Net Regional Energy Interchange: Preprint

    SciTech Connect (OSTI)

    Diakov, Victor; Brinkman, Gregory; Denholm, Paul; Jenkin, Thomas; Margolis, Robert

    2015-07-30

    Using production-cost model (PLEXOS), we simulate the Western Interchange (WECC) at several levels of the yearly renewable energy (RE) generation, between 13% and 40% of the total load for the year. We look at the overall energy exchange between a region and the rest of the system (net interchange, NI), and find it useful to examine separately (i) (time-)variable and (ii) year-average components of the NI. Both contribute to inter-regional energy exchange, and are affected by wind and PV generation in the system. We find that net load variability (in relatively large portions of WECC) is the leading factor affecting the variable component of inter-regional energy exchange, and the effect is quantifiable: higher regional net load correlation with the rest of the WECC lowers net interchange variability. Further, as the power mix significantly varies between WECC regions, effects of ‘flexibility import’ (regions ‘borrow’ ramping capability) are also observed.

  3. American PowerNet (Maryland) | Open Energy Information

    Open Energy Info (EERE)

    Maryland) Jump to: navigation, search Name: American PowerNet Place: Maryland Phone Number: (877) 977-2636 or (610) 372-8500 Website: www.americanpowernet.com Outage Hotline:...

  4. American PowerNet (District of Columbia) | Open Energy Information

    Open Energy Info (EERE)

    American PowerNet Place: District of Columbia References: EIA Form EIA-861 Final Data File for 2010 - File220101 EIA Form 861 Data Utility Id 49730 This article is a stub. You...

  5. American PowerNet (New Jersey) | Open Energy Information

    Open Energy Info (EERE)

    American PowerNet Abbreviation: APN Place: New Jersey Phone Number: 877-977-2636 Website: www.americanpowernet.comindex Outage Hotline: 877-977-2636 References: EIA Form EIA-861...

  6. Designing Hawaii's First LEED Platinum Net Zero Community: Kaupuni...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Kaupuni Village: A closer look at the first net-zero energy affordable housing community in Hawaii The LEED Platinum K-12 school in Greensburg, Kansas. Photo from Joah Bussert, ...

  7. Application for a Certificate of Public Good for Net Metered...

    Open Energy Info (EERE)

    Certificate of Public Good for Net Metered Power Systems that are Non-Photovoltaic Systems Up to 150 kW (AC) in Capacity Jump to: navigation, search OpenEI Reference LibraryAdd to...

  8. North America's net terrestrial CO2 exchange with the atmosphere...

    Office of Scientific and Technical Information (OSTI)

    a synthesis of net land-atmosphere CO2 exchange for North America (Canada, United States, and Mexico) over the period 1990-2009. Only CO2 is considered, not methane or...

  9. FY 2003 Generation Audited Accumlated Net Revenues, March 2004

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3rd Quarter Review Forecast FY 2003 Actual Results 1 FY 2000 PBL Actual Modified Net Revenue 252 252 2 Energy Northwest Debt Service Adjustment for FY 2000 (82) (82) 3 SFAS...

  10. ,"Texas Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    ,,"(202) 586-8800",,,"1012015 11:00:54 AM" "Back to Contents","Data 1: Texas Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070TX2"...

  11. ,"Kansas Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    ,,"(202) 586-8800",,,"01292016 2:35:47 PM" "Back to Contents","Data 1: Kansas Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070KS2"...

  12. NetMOD Version 2.0 Parameters

    SciTech Connect (OSTI)

    Merchant, Bion J.

    2015-08-01

    NetMOD ( Net work M onitoring for O ptimal D etection) is a Java-based software package for conducting simulation of seismic, hydroacoustic and infrasonic networks. Network simulations have long been used to study network resilience to station outages and to determine where additional stations are needed to reduce monitoring thresholds. NetMOD makes use of geophysical models to determine the source characteristics, signal attenuation along the path between the source and station, and the performance and noise properties of the station. These geophysical models are combined to simulate the relative amplitudes of signal and noise that are observed at each of the stations. From these signal-to-noise ratios (SNR), the probability of detection can be computed given a detection threshold. This document describes the parameters that are used to configure the NetMOD tool and the input and output parameters that make up the simulation definitions.

  13. Table 10. Natural Gas Net Imports, Projected vs. Actual

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

    Natural Gas Net Imports, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,...

  14. Table 10. Natural Gas Net Imports, Projected vs. Actual Projected

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

    Natural Gas Net Imports, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012...

  15. Fermilab | Newsroom | Press Releases | September 27, 2012: QuarkNet...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    RELEASE QuarkNet program receives 6.1 million NSF award to advance science education Hi-res | Med-res Steven Grosland, physics teacher at Glenbrook South High School in...

  16. Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes

    SciTech Connect (OSTI)

    Al-Beaini, S.; Borgeson, S.; Coffery, B.; Gregory, D.; Konis, K.; Scown, C.; Simjanovic, J.; Stanley, J.; Strogen, B.; Walker, I.

    2009-09-01

    A green building competition, to be known as the Energy Free Home Challenge (EFHC), is scheduled to be opened to teams around the world in 2010. This competition will encourage both design innovation and cost reduction, by requiring design entries to meet 'zero net energy' and 'zero net cost' criteria. For the purposes of this competition, a 'zero net energy' home produces at least as much energy as it purchases over the course of a year, regardless of the time and form of the energy (e.g., electricity, heat, or fuel) consumed or produced. A 'zero net cost' home is no more expensive than a traditional home of comparable size and comfort, when evaluated over the course of a 30-year mortgage. In other words, the 'green premium' must have a payback period less than 30 years, based on the value of energy saved. The overarching goal of the competition is to develop affordable, high-performance homes that can be mass-produced at a large scale, and are able to meet occupant needs in harsh climates (as can be found where the competition will be held in Illinois). This report outlines the goals of the competition, and gauges their feasibility using both modeling results and published data. To ensure that the established rules are challenging, yet reasonable, this report seeks to refine the competition goals after exploring their feasibility through case studies, cost projections, and energy modeling. The authors of this report conducted a survey of the most progressive home energy-efficiency practices expected to appear in competition design submittals. In Appendix A, a summary can be found of recent projects throughout the United States, Canada, Germany, Switzerland, Sweden and Japan, where some of the most progressive technologies have been implemented. As with past energy efficient home projects, EFHC competitors will incorporate a multitude of energy efficiency measures into their home designs. The authors believe that the cost of electricity generated by home generation technologies will continue to exceed the price of US grid electricity in almost all locations. Strategies to minimize whole-house energy demand generally involve some combination of the following measures: optimization of surface (area) to volume ratio; optimization of solar orientation; reduction of envelope loads; systems-based engineering of high efficiency HVAC components, and on-site power generation. A 'Base Case' home energy model was constructed, to enable the team to quantitatively evaluate the merits of various home energy efficiency measures. This Base Case home was designed to have an energy use profile typical of most newly constructed homes in the Champaign-Urbana, Illinois area, where the competition is scheduled to be held. The model was created with the EnergyGauge USA software package, a front-end for the DOE-2 building energy simulation tool; the home is a 2,000 square foot, two-story building with an unconditioned basement, gas heating, a gas hot-water heater, and a family of four. The model specifies the most significant details of a home that can impact its energy use, including location, insulation values, air leakage, heating/cooling systems, lighting, major appliances, hot water use, and other plug loads. EFHC contestants and judges should pay special attention to the Base Case model's defined 'service characteristics' of home amenities such as lighting and appliances. For example, a typical home refrigerator is assumed to have a built-in freezer, automatic (not manual) defrost, and an interior volume of 26 cubic feet. The Base Case home model is described in more detail in Section IV and Appendix B.

  17. Collective Impact for Zero Net Energy Homes | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Collective Impact for Zero Net Energy Homes Collective Impact for Zero Net Energy Homes This presentation was delivered at the U.S. Department of Energy Building America meeting on April 29-30, 2013, in Denver, Colorado. PDF icon collective_impact_znerh_rashkin.pdf More Documents & Publications Update on U.S. Department of Energy Building America Program Goals Update on U.S. Department of Energy Building America Program Goals Building America Roadmap to High

  18. NetMOD Version 2.0 Mathematical Framework

    SciTech Connect (OSTI)

    Merchant, Bion J.; Young, Christopher J.; Chael, Eric P.

    2015-08-01

    NetMOD ( Net work M onitoring for O ptimal D etection) is a Java-based software package for conducting simulation of seismic, hydroacoustic and infrasonic networks. Network simulations have long been used to study network resilience to station outages and to determine where additional stations are needed to reduce monitoring thresholds. NetMOD makes use of geophysical models to determine the source characteristics, signal attenuation along the path between the source and station, and the performance and noise properties of the station. These geophysical models are combined to simulate the relative amplitudes of signal and noise that are observed at each of the stations. From these signal-to-noise ratios (SNR), the probabilities of signal detection at each station and event detection across the network of stations can be computed given a detection threshold. The purpose of this document is to clearly and comprehensively present the mathematical framework used by NetMOD, the software package developed by Sandia National Laboratories to assess the monitoring capability of ground-based sensor networks. Many of the NetMOD equations used for simulations are inherited from the NetSim network capability assessment package developed in the late 1980s by SAIC (Sereno et al., 1990).

  19. Fact #736: July 16, 2012 Total Petroleum Imports and Net Petroleum...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    6: July 16, 2012 Total Petroleum Imports and Net Petroleum Imports: The Difference is Growing Fact 736: July 16, 2012 Total Petroleum Imports and Net Petroleum Imports: The ...

  20. Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment...

  1. The NetLogger Toolkit V2.0

    Energy Science and Technology Software Center (OSTI)

    2003-03-28

    The NetLogger Toolkit is designed to monitor, under actual operating conditions, the behavior of all the elements of the application-to-application communication path in order to determine exactly where time is spent within a complex system Using NetLogger, distnbuted application components are modified to produce timestamped logs of "interesting" events at all the critical points of the distributed system Events from each component are correlated, which allov^ one to characterize the performance of all aspects ofmore » the system and network in detail. The NetLogger Toolkit itself consists of four components an API and library of functions to simplify the generation of application-level event logs, a set of tools for collecting and sorting log files, an event archive system, and a tool for visualization and analysis of the log files In order to instrument an application to produce event logs, the application developer inserts calls to the NetLogger API at all the critical points in the code, then links the application with the NetLogger library All the tools in the NetLogger Toolkit share a common log format, and assume the existence of accurate and synchronized system clocks NetLogger messages can be logged using an easy-to-read text based format based on the lETF-proposed ULM format, or a binary format that can still be used through the same API but that is several times faster and smaller, with performance comparable or better than binary message formats such as MPI, XDR, SDDF-Binary, and PBIO. The NetLogger binary format is both highly efficient and self-describing, thus optimized for the dynamic message construction and parsing of application instrumentation. NetLogger includes an "activation" API that allows NetLogger logging to be turned on, off, or modified by changing an external file This IS useful for activating logging in daemons/services (e g GndFTP server). The NetLogger reliability API provides the ability to specify backup logging locations and penodically try to reconnect broken TCP pipe. A typical use for this is to store data on local disk while net is down. An event archiver can log one or more incoming NetLogger streams to a local disk file (netlogd) or to a mySQL database (netarchd). We have found exploratory, visual analysis of the log event data to be the most useful means of determining the causes of performance anomalies The NetLogger Visualization tool, niv, has been developed to provide a flexible and interactive graphical representation of system-level and application-level events.« less

  2. ,"U.S. Refinery Net Input"

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

    Annual",2015,"6/30/2005" ,"Data 2","Alaskan Crude Oil Receipts",1,"Annual",2015,"6/30/1986" ,"Release Date:","4/29/2016" ,"Next Release Date:","8/31/2016" ,"Excel File Name:","pet_pnp_inpt2_dc_nus_mbbl_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt2_dc_nus_mbbl_a.htm" ,"Source:","Energy Information Administration"

  3. Strategy for Fuel Rod Receipt, Characterization, Sample Allocation for the Demonstration Sister Rods

    SciTech Connect (OSTI)

    Marschman, Steven C.; Warmann, Stephan A.; Rusch, Chris

    2014-03-01

    The U.S. Department of Energy Office of Nuclear Energy (DOE-NE), Office of Fuel Cycle Technology, has established the Used Fuel Disposition Campaign (UFDC) to conduct the research and development activities related to storage, transportation, and disposal of used nuclear fuel and high-level radioactive waste. The mission of the UFDC is to identify alternatives and conduct scientific research and technology development to enable storage, transportation and disposal of used nuclear fuel (UNF) and wastes generated by existing and future nuclear fuel cycles. The UFDC Storage and Transportation staffs are responsible for addressing issues regarding the extended or long-term storage of UNF and its subsequent transportation. The near-term objectives of the Storage and Transportation task are to use a science-based approach to develop the technical bases to support the continued safe and secure storage of UNF for extended periods, subsequent retrieval, and transportation. While low burnup fuel [that characterized as having a burnup of less than 45 gigawatt days per metric tonne uranium (GWD/MTU)] has been stored for nearly three decades, the storage of high burnup used fuels is more recent. The DOE has funded a demonstration project to confirm the behavior of used high burnup fuel under prototypic conditions. The Electric Power Research Institute (EPRI) is leading a project team to develop and implement the Test Plan to collect this data from a UNF dry storage system containing high burnup fuel. The Draft Test Plan for the demonstration outlines the data to be collected; the high burnup fuel to be included; the technical data gaps the data will address; and the storage system design, procedures, and licensing necessary to implement the Test Plan. To provide data that is most relevant to high burnup fuel in dry storage, the design of the test storage system must closely mimic real conditions high burnup SNF experiences during all stages of dry storage: loading, cask drying, inert gas backfilling, and transfer to an Independent Spent Fuel Storage Installation (ISFSI) for multi-year storage. To document the initial condition of the used fuel prior to emplacement in a storage system, “sister ” fuel rods will be harvested and sent to a national laboratory for characterization and archival purposes. This report supports the demonstration by describing how sister rods will be shipped and received at a national laboratory, and recommending basic nondestructive and destructive analyses to assure the fuel rods are adequately characterized for UFDC work. For this report, a hub-and-spoke model is proposed, with one location serving as the hub for fuel rod receipt and characterization. In this model, fuel and/or clad would be sent to other locations when capabilities at the hub were inadequate or nonexistent. This model has been proposed to reduce DOE-NE’s obligation for waste cleanup and decontamination of equipment.

  4. Petroleum Supply Monthly

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

    1 January 2016 Table 62. Net Movements of Crude Oil and Petroleum Products by Pipeline, Tanker, Barge and Rail Between PAD Districts, February 2016 (Thousand Barrels) Commodity PAD District 1 PAD District 2 PAD District 3 Receipts Shipments Net Receipts Receipts Shipments Net Receipts Receipts Shipments Net Receipts Crude Oil 1 ................................................................ 11,637 194 11,443 33,603 47,403 -13,800 28,214 18,383 9,831 Petroleum Products 2

  5. Oregon Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Oregon Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -13 -3 -1 -124 32 178 -346 -122 560 49 1990's -249 220 -33 -222 -257 114 -246 48 -256 73 2000's 208 19 -70 15 -3 217 -119 -136 -222 247 2010's -53 -25 -16 -50 111 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016

  6. Pennsylvania Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Pennsylvania Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -869 967 -292 -1,120 1,448 -627 259 1,135 -163 -1,974 1990's 2,632 -22 72 -204 797 -398 867 -1,237 533 669 2000's -206 2,063 -958 -809 689 278 -628 -393 151 -690 2010's 39 206 889 -82 -1,132 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  7. Nebraska Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Nebraska Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 95 -54 -286 162 -70 -136 -48 14 132 -204 1990's 339 -119 111 65 26 -134 127 122 -351 176 2000's -132 348 -31 -83 -8 121 -122 18 -15 -10 2010's 39 -73 -140 280 -202 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  8. Nevada Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Nevada Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 289 149 68 89 110 256 -170 205 1990's -548 728 -71 9 -30 31 72 61 -31 -29 2000's -17 1 6 21 -1 8 -55 -73 17 -76 2010's -69 -42 -63 -57 16 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  9. Alabama Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Alabama Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 185 30 66 -580 459 -459 132 -46 164 -422 1990's 456 -19 239 215 448 -164 -303 425 32 -219 2000's -285 -136 298 -47 19 114 -7 -209 -73 178 2010's -21 -75 -22 63 -206 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  10. Arkansas Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Arkansas Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 14 -19 -11 -34 36 -8 4 9 -12 -32 1990's 106 -11 -1 9 5 -27 -85 -11 2 -1 2000's -1 -2 4 52 -36 -20 12 -3 -21 -24 2010's 2 -7 9 12 14 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  11. California Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) California Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -916 -105 19 -430 -335 -207 -5 0 -11 0 1990's 0 32 -38 -24 -80 -33 -13 -58 -114 -59 2000's 234 -1 4 3 -1 -31 -16 10 -1 -5 2010's 2 7 -5 3 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  12. Connecticut Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Connecticut Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -820 701 -1,356 -385 544 -187 198 121 75 -604 1990's 822 -103 -355 -29 -61 -373 680 94 66 -66 2000's -471 -169 182 140 -91 -240 -286 102 207 164 2010's 178 129 260 -68 -327 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  13. Delaware Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Delaware Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 113 -3 -3 -29 39 7 -71 -60 4 -38 1990's 6 7 -5 3 23 -1 11 -8 8 31 2000's 83 10 -43 -28 -10 7 -1 -6 17 3 2010's -2 -31 51 -68 29 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  14. Idaho Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Idaho Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 19 132 -16 -52 -634 -932 -86 334 165 1990's 23 113 -47 51 182 -29 -25 32 -460 492 2000's -361 307 -42 91 120 143 -140 -99 -147 387 2010's 70 -19 139 -259 -676 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  15. Illinois Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Illinois Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -41 22 47 -530 653 -205 -270 -96 69 -579 1990's 580 -229 222 -31 9 -12 -289 -200 -351 241 2000's -370 231 -283 -548 -58 402 119 132 -381 -260 2010's 74 127 419 -322 -442 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  16. Indiana Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Indiana Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -129 204 1,991 -498 1,878 429 615 541 6,077 344 1990's 230 595 -339 738 -95 -239 -234 653 486 582 2000's -480 223 -376 -28 -187 236 -275 86 -766 -590 2010's 835 -380 -977 -81 771 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  17. Iowa Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Iowa Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -609 -259 726 -1,220 1,015 -813 -496 -208 -171 292 1990's 541 1,343 412 75 346 -651 1,978 241 280 72 2000's -53 -411 -743 -1,077 761 219 -899 -115 -166 -244 2010's 146 14 428 -151 -647 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  18. New Jersey Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) New Jersey Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 6 -7 -206 1970's -439 -157 20 -404 -624 -3,869 1990's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  19. NetSim Project contributions to ns-3

    Energy Science and Technology Software Center (OSTI)

    2012-05-01

    ns-3 is an external (non-LLNL) open-source framework for modeling computer networks. The LLNL NetSim project uses the ns-3 framework to address specific questions in computer network design, operation, and security. As part of the NetSim work, we develop bug fixes, deature enhancements, and new capabilities for the ns-3 framework. The virtual package referenced here, ns-3-contrib, consists of those developments we have (or will) contribute back to the ns-3 project in source code form, for inclusionmore » in future releases of ns-3.« less

  20. NREL: Technology Deployment - Kaupuni Village: The First Net-Zero

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Affordable Housing Community in Hawaii Kaupuni Village: The First Net-Zero Affordable Housing Community in Hawaii Photo of a a family standing in front of solar panels The Young family, shown here, was one of 19 families given the opportunity to purchase a home in Kaupuni Village. Today, they are passionate about net-zero living, growing their own fish and vegetables among many other activities. May 21, 2012 When 85% of the energy is supplied by imported petroleum and the average homeowner's

  1. Jamaica National Net-Billing Pilot Program Evaluation

    SciTech Connect (OSTI)

    Doris, Elizabeth; Stout, Sherry; Peterson, Kimberly

    2015-12-18

    This technical report discusses the effectiveness of the Jamaica Public Service Company Limited Net-Billing Pilot Program. The National Renewable Energy Laboratory (NREL) collected and analyzed data from a wide range of stakeholders, conducted in-country research, and compared program elements to common interconnection practices to form programmatic recommendations for the Jamaica context. NREL finds that the net-billing pilot program has successfully contributed to the support of the emerging solar market in Jamaica with the interconnection of 80 systems under the program for a total of 1.38 megawatts (MW) at the time of original analysis.

  2. Massachusetts Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Massachusetts Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's -174 -102 253 1970's -200 -96 -1,074 2,468 1,707 -2,185 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  3. Fresnel reflection from a cavity with net roundtrip gain

    SciTech Connect (OSTI)

    Mansuripur, Tobias S.; Mansuripur, Masud

    2014-03-24

    A planewave incident on an active etalon with net roundtrip gain may be expected to diverge in field amplitude, yet applying the Fresnel formalism to Maxwell's equations admits a convergent solution. We describe this solution mathematically and provide additional insight by demonstrating the response of such a cavity to an incident beam of light. Cavities with net roundtrip gain have often been overlooked in the literature, and a clear understanding of their behavior yields insight to negative refraction in nonmagnetic media, a duality between loss and gain, amplified total internal reflection, and the negative-index lens.

  4. Targeting Net Zero Energy at Fort Carson: Assessment and Recommendations

    SciTech Connect (OSTI)

    Anderson, K.; Markel, T.; Simpson, M.; Leahey, J.; Rockenbaugh, C.; Lisell, L.; Burman, K.; Singer, M.

    2011-10-01

    The U.S. Army's Fort Carson installation was selected to serve as a prototype for net zero energy assessment and planning. NREL performed the comprehensive assessment to appraise the potential of Fort Carson to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations. This study is part of a larger cross-laboratory effort that also includes an assessment of renewable opportunities at seven other DoD Front Range installations, a microgrid design for Fort Carson critical loads and an assessment of regulatory and market-based barriers to a regional secure smart grid.

  5. Demand response compensation, net Benefits and cost allocation: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-11-15

    FERC's Supplemental Notice of Public Rulemaking addresses the question of proper compensation for demand response in organized wholesale electricity markets. Assuming that the Commission would proceed with the proposal ''to require tariff provisions allowing demand response resources to participate in wholesale energy markets by reducing consumption of electricity from expected levels in response to price signals, to pay those demand response resources, in all hours, the market price of energy for such reductions,'' the Commission posed questions about applying a net benefits test and rules for cost allocation. This article summarizes critical points and poses implications for the issues of net benefit tests and cost allocation. (author)

  6. ,"Weekly Blender Net Production"

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

    Blender Net Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Weekly Blender Net Production",20,"Weekly","5/20/2016","6/4/2010" ,"Release Date:","5/25/2016" ,"Next Release Date:","6/2/2016" ,"Excel File

  7. ,"Weekly Refiner Net Production"

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

    Refiner Net Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Weekly Refiner Net Production",21,"Weekly","5/20/2016","6/4/2010" ,"Release Date:","5/25/2016" ,"Next Release Date:","6/2/2016" ,"Excel File

  8. Virginia Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Virginia Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -7 -5 -14 -87 41 -3 -49 4 -29 -6 1990's 48 -71 6 -102 -121 -62 17 108 -142 126 2000's 146 56 -543 -400 0 -168 24 79 58 81 2010's -207 1,588 1,296 40 28 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  9. Washington Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Washington Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 0 0 0 0 0 1990's -8 2 -471 -4,718 640 -153 -72 48 -877 761 2000's 90 -87 18 4 -63 10 380 195 -657 532 2010's 0 100 16 -77 -1,094 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  10. Wisconsin Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Wisconsin Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -76 87 76 -93 110 -20 -74 -90 81 54 1990's -10 35 -59 2 -50 85 -60 51 -21 -61 2000's -40 -26 8 -9 45 -23 36 78 51 -18 2010's -29 20 -67 13 58 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  11. Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Buildings | Department of Energy 6 Crawley Drive for Net Zero Energy Commercial Buildings Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial Buildings PDF icon Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial Buildings More Documents & Publications Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial Buildings Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation A Common Definition for Zero Energy Buildings

  12. Electrohydraulic Forming of Near Net Shape Automotive Panels

    SciTech Connect (OSTI)

    2009-01-01

    This factsheet describes a research project whose goal is to develop the electrohydraulic forming (EHF) process as a near net shape automotive panel manufacturing technology that simultaneously reduces the energy embedded in vehicles and the energy consumed while producing automotive structures.

  13. SIMULATION OF NET INFILTRATION FOR MODERN AND POTENTIAL FUTURE CLIMATES

    SciTech Connect (OSTI)

    J.A. Heveal

    2000-06-16

    This Analysis/Model Report (AMR) describes enhancements made to the infiltration model documented in Flint et al. (1996) and documents an analysis using the enhanced model to generate spatial and temporal distributions over a model domain encompassing the Yucca Mountain site, Nevada. Net infiltration is the component of infiltrated precipitation, snowmelt, or surface water run-on that has percolated below the zone of evapotranspiration as defined by the depth of the effective root zone, the average depth below the ground surface (at a given location) from which water is removed by evapotranspiration. The estimates of net infiltration are used for defining the upper boundary condition for the site-scale 3-dimensional Unsaturated-Zone Ground Water Flow and Transport (UZ flow and transport) Model (CRWMS M&O 2000a). The UZ flow and transport model is one of several process models abstracted by the Total System Performance Assessment model to evaluate expected performance of the potential repository at Yucca Mountain, Nevada, in terms of radionuclide transport (CRWMS M&O 1998). The net-infiltration model is important for assessing potential repository-system performance because output from this model provides the upper boundary condition for the UZ flow and transport model that is used to generate flow fields for evaluating potential radionuclide transport through the unsaturated zone. Estimates of net infiltration are provided as raster-based, 2-dimensional grids of spatially distributed, time-averaged rates for three different climate stages estimated as likely conditions for the next 10,000 years beyond the present. Each climate stage is represented using a lower bound, a mean, and an upper bound climate and corresponding net-infiltration scenario for representing uncertainty in the characterization of daily climate conditions for each climate stage, as well as potential climate variability within each climate stage. The set of nine raster grid maps provide spatially detailed representations of the magnitude and distribution of net-infiltration rates that are used to define specified flux upper boundary conditions for the UZ flow and transport model.

  14. Enterprise Assessments Operational Awareness Record for the Review of the Waste Treatment and Immobilization Plant High-Level Waste Facility Concentrate Receipt/Melter Feed/Glass Formers Reagent Hazards Analysis Event Tables – June 2015

    Broader source: Energy.gov [DOE]

    Operational Awareness Record for the Review of the Waste Treatment and Immobilization Plant High-Level Waste Facility Concentrate Receipt/Melter Feed/Glass Formers Reagent Hazards Analysis Event Tables

  15. Louisiana Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Louisiana Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 3,991 2,622 -3,556 0 0 0 0 0 1990's 1,697 558 448 -1,356 -429 308 -39 2,174 13,871 0 2000's 0 0 0 0 0 0 0 1,446 2010's 0 0 -24 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  16. Maryland Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Maryland Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -2,408 91 95 -159 150 -81 153 2 -7 -62 1990's 392 126 89 85 410 1,291 4,190 1,186 785 494 2000's -339 -761 -98 -1,789 -1,705 -2,703 3,122 -250 632 4,488 2010's -13 42 27 -5 41 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  17. Massachusetts Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Massachusetts Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -3,383 2,585 -1,618 -700 2,734 45 593 -2,043 -1,644 -6,447 1990's 308 -3,967 -1,844 -2,368 -6,820 -3,134 -5,364 -3,517 -7,243 -2,447 2000's -7,518 350 767 4,359 1,584 3,129 156 -1,560 -1,694 -1,221 2010's -963 -753 -1,384 -864 734 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  18. Georgia Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Georgia Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 534 -1,598 -1,359 -169 -203 -525 596 149 545 343 1990's 1,345 390 16 -42 -94 -1,464 -189 -153 -698 -1,403 2000's -1,126 6,210 2,397 -2,138 -1,052 -1,436 -5,737 1,323 2,481 1,972 2010's 379 2,542 1,378 1,205 3,085 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  19. net_energy_load_1990_2004.xls

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

    Not applicable for this table format Table 1a . Historical Net Energy For Load, Actual by North American Electric Reliability Council Region, 1990 through 2004. (Thousands of Megawatthours) Net Energy For Load (Annual) Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Year ECAR FRCC MAAC MAIN MAPP/MRO (U.S.) NPCC (U.S.) SERC SPP ERCOT WECC (U.S.) 1990 2,886,496 442,507 142,502 221,099 197,326 127,102 250,681 485,205 252,037 209,789 558,248 1991 2,941,669 450,586 146,903

  20. Table 6. Petroleum Net Imports, Projected vs. Actual

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

    Petroleum Net Imports, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2934.6,3201.05,3361.65,3504,3657.3,3737.6,3879.95,3993.1,4098.95,4212.1,4303.35,4398.25,4474.9,4540.6,4584.4,4639.15,4668.35,4672 "AEO

  1. DOE FACT SHEET: Net Zero Retrofit Analysis Overview

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    FACT SHEET: Net Zero Retrofit Analysis Overview Sault Ste Marie Tribe of Chippewa Indians (SSM) was recognized as a Climate Action Champion (CAC) by The White House and the Department of Energy (DOE) in December 2014. In 2015, DOE released a Notice of Technical Assistance (NOTA) to provide CACs with additional opportunities for financial and technical assistance to support and advance their greenhouse gas emissions reduction and climate resilience objectives. SSM was an awardee of this Technical

  2. Refinery & Blender Net Production of Total Finished Petroleum Products

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

    & Blender Net Production Product: Total Finished Petroleum Products Liquefied Refinery Gases Ethane/Ethylene Ethane Ethylene Propane/Propylene Propane Propylene Normal Butane/Butylene Normal Butane Butylene Isobutane/Isobutylene Isobutane Isobutylene Finished Motor Gasoline Reformulated Gasoline Reformulated Blended w/ Fuel Ethanol Reformulated Other Gasoline Conventional Gasoline Conventional Blended w/ Fuel Ethanol Conventional Blended w/ Fuel Ethanol, Ed55 and Lower Conventional Blended

  3. Targeting Net Zero Energy at Fort Carson: Assessment and Recommendations

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Targeting Net Zero Energy at Fort Carson: Assessment and Recommendations Prepared for the U.S. Department of Energy Federal Energy Management Program By National Renewable Energy Laboratory Kate Anderson, Tony Markel, Mike Simpson, John Leahey, Caleb Rockenbaugh, Lars Lisell, Kari Burman, and Mark Singer October 2011 ii NOTICE This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any

  4. NETL Nets Environmental Sustainability Purchasing Award | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    News NETL Nets Environmental Sustainability Purchasing Award greenbuy-award.jpg A key U.S. Department of Energy (DOE) award recognizing outstanding achievement in procuring products that are healthier and environmentally friendly has been bestowed on the National Energy Technology Laboratory (NETL) for the second time in four years. NETL Director Dr. Grace Boheneck announced that the Laboratory will receive DOE's GreenBuy Award for its dedication to sustainable acquisition practices. The

  5. OPF incorporating load models maximizing net revenue. [Optimal Power Flow

    SciTech Connect (OSTI)

    Dias, L.G.; El-Hawary, M.E. . Dept. of Electrical Engineering)

    1993-02-01

    Studies of effects of load modeling in optimal power flow studies using minimum cost and minimum loss objective reveal that a main disadvantage of cost minimization is the reduction of the objective via a reduction in the power demand. This inevitably results in lowering the total revenue and in most cases, reducing net revenue as well. An alternative approach for incorporating load models in security-constrained OPF (SCOPF) studies apparently avoids reducing the total power demand for the intact system, but reduces the voltages. A study of the behavior of conventional OPF solutions in the presence of loads not controlled by ULTC's shows that this result in a reducing the total power demand for the intact system. In this paper, the authors propose an objective that avoids the tendency to lower the total power demand, total revenue and net revenue, for OPF neglecting contingencies (normal OPF), as well as for security-constrained OPF. The minimum cost objective is modified by subtracting the total power demand from the total fuel cost. This is equivalent to maximizing the net revenue.

  6. Fact #736: July 16, 2012 Total Petroleum Imports and Net Petroleum Imports: The Difference is Growing

    Broader source: Energy.gov [DOE]

    When referring to U.S. imports of petroleum, it is important to make the distinction between total imports and net imports. Net imports are equal to the amount of total imported petroleum minus the...

  7. DOE Tour of Zero: The Net Zero in Seattle by TC Legend Homes...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Net Zero in Seattle by TC Legend Homes DOE Tour of Zero: The Net Zero in Seattle by TC Legend Homes Addthis 1 of 15 Northwest builder TC Legend Homes has built a certified U.S. DOE...

  8. Fact #838: September 15, 2014 Net Imports of Petroleum were Only...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    8: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013 Fact 838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in ...

  9. Status of Net Metering: Assessing the Potential to Reach Program Caps

    SciTech Connect (OSTI)

    Heeter, J.; Gelman, R.; Bird, L.

    2014-09-01

    Several states are addressing the issue of net metering program caps, which limit the total amount of net metered generating capacity that can be installed in a state or utility service territory. In this analysis, we examine net metering caps to gain perspective on how long net metering will be available in various jurisdictions under current policies. We also surveyed state practices and experience to understand important policy design considerations.

  10. Status of Net Metering: Assessing the Potential to Reach Program Caps (Poster)

    SciTech Connect (OSTI)

    Heeter, J.; Bird, L.; Gelman, R.

    2014-10-01

    Several states are addressing the issue of net metering program caps, which limit the total amount of net metered generating capacity that can be installed in a state or utility service territory. In this analysis, we examine net metering caps to gain perspective on how long net metering will be available in various jurisdictions under current policies. We also surveyed state practices and experience to understand important policy design considerations.

  11. Table 6. Petroleum Net Imports, Projected vs. Actual Projected

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

    Petroleum Net Imports, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2935 3201 3362 3504 3657 3738 3880 3993 4099 4212 4303 4398 4475 4541 4584 4639 4668 4672 AEO 1995 2953 3157 3281 3489 3610 3741 3818 3920 4000 4103 4208 4303 4362 4420 4442 4460 4460 AEO 1996 3011 3106 3219 3398 3519 3679 3807 3891 3979 4070 4165 4212 4260 4289 4303 4322 4325 4347 4344 AEO 1997 3099 3245 3497

  12. Army Reserve Expands Net Zero Energy, Water, Waste

    SciTech Connect (OSTI)

    Solana, Amy E.

    2015-04-14

    In 2012, the Army initiated a Net Zero (NZ) program to establish NZ energy, water, and/or waste goals at installations across the U.S. In 2013, the U.S. Army Reserve expanded this program to cover all three categories at different types of Reserve Centers (RCs) across 5 regions. Projects identified at 10 pilot sites resulted in an average savings potential from recommended measures of 90% for energy, 60% for water, and 83% for waste. This article provides results of these efforts.

  13. From: Michael McCabe [mailto:michaeljmccabe@verizon.net]

    Energy Savers [EERE]

    Michael McCabe [mailto:michaeljmccabe@verizon.net] Sent: Saturday, March 28, 2015 7:55 AM To: Cohen, Daniel Subject: Nats Games Dan, here are the games that we have tickets for. As I mentioned, we are in two groups, the second group has tickets in section 314 (green highlight) and Phil's group is in the yellow highlight. Mary is the friend and neighbor that we share tickets with. See you at the games. Also, on the business side, I have been giving the new LCC calculation some more thought. I

  14. Table 5.7 Petroleum Net Imports by Country of Origin, 1960-2011

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

    Petroleum Net Imports by Country of Origin, 1960-2011 Year Persian Gulf 2 Selected OPEC 1 Countries Selected Non-OPEC 1 Countries Total Net Imports Total Net Imports as Share of Consumption 5 Net Imports From OPEC 1 Algeria Nigeria Saudi Arabia 3 Venezuela Total OPEC 4 Canada Mexico United Kingdom Virgin Islands and Puerto Rico Total Non-OPEC 4 Share of Total Net Imports 6 Share of Consumption 7 Thousand Barrels Percent 1960 NA [8] [9] 30,786 333,046 450,799 31,454 -620 -4,267 12,553 139,406

  15. untitled

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    December 2005 (Thousand Barrels) Field Production Refinery and Blender Net Production Imports (PADD of Entry) a Net Receipts Adjust- ments b Stock Change c Refinery and Blender Net...

  16. The accretion of solar material onto white dwarfs: No mixing with core material implies that the mass of the white dwarf is increasing

    SciTech Connect (OSTI)

    Starrfield, Sumner

    2014-04-15

    Cataclysmic Variables (CVs) are close binary star systems with one component a white dwarf (WD) and the other a larger cooler star that fills its Roche Lobe. The cooler star is losing mass through the inner Lagrangian point of the binary and some unknown fraction of this material is accreted by the WD. One consequence of the WDs accreting material, is the possibility that they are growing in mass and will eventually reach the Chandrasekhar Limit. This evolution could result in a Supernova Ia (SN Ia) explosion and is designated the Single Degenerate Progenitor (SD) scenario. This paper is concerned with the SD scenario for SN Ia progenitors. One problem with the single degenerate scenario is that it is generally assumed that the accreting material mixes with WD core material at some time during the accretion phase of evolution and, since the typical WD has a carbon-oxygen CO core, the mixing results in large amounts of carbon and oxygen being brought up into the accreted layers. The presence of enriched carbon causes enhanced nuclear fusion and a Classical Nova explosion. Both observations and theoretical studies of these explosions imply that more mass is ejected than is accreted. Thus, the WD in a Classical Nova system is losing mass and cannot be a SN Ia progenitor. However, the composition in the nuclear burning region is important and, in new calculations reported here, the consequences to the WD of no mixing of accreted material with core material have been investigated so that the material involved in the explosion has only a Solar composition. WDs with a large range in initial masses and mass accretion rates have been evolved. I find that once sufficient material has been accreted, nuclear burning occurs in all evolutionary sequences and continues until a thermonuclear runaway (TNR) occurs and the WD either ejects a small amount of material or its radius grows to about 10{sup 12} cm and the evolution is ended. In all cases where mass ejection occurs, the mass of the ejecta is far less than the mass of the accreted material. Therefore, all the WDs are growing in mass. It is also found that the accretion time to explosion can be sufficiently short for a 1.0M{sub ?} WD that recurrent novae can occur on a low mass WD. This mass is lower than typically assumed for the WDs in recurrent nova systems. Finally, the predicted surface temperatures when the WD is near the peak of the explosion imply that only the most massive WDs will be significant X-ray emitters at this time.

  17. Method of assembly of molecular-sized nets and scaffolding

    DOE Patents [OSTI]

    Michl, Josef; Magnera, Thomas F.; David, Donald E.; Harrison, Robin M.

    1999-01-01

    The present invention relates to methods and starting materials for forming molecular-sized grids or nets, or other structures based on such grids and nets, by creating molecular links between elementary molecular modules constrained to move in only two directions on an interface or surface by adhesion or bonding to that interface or surface. In the methods of this invention, monomers are employed as the building blocks of grids and more complex structures. Monomers are introduced onto and allowed to adhere or bond to an interface. The connector groups of adjacent adhered monomers are then polymerized with each other to form a regular grid in two dimensions above the interface. Modules that are not bound or adhered to the interface are removed prior to reaction of the connector groups to avoid undesired three-dimensional cross-linking and the formation of non-grid structures. Grids formed by the methods of this invention are useful in a variety of applications, including among others, for separations technology, as masks for forming regular surface structures (i.e., metal deposition) and as templates for three-dimensional molecular-sized structures.

  18. Method of assembly of molecular-sized nets and scaffolding

    DOE Patents [OSTI]

    Michl, J.; Magnera, T.F.; David, D.E.; Harrison, R.M.

    1999-03-02

    The present invention relates to methods and starting materials for forming molecular-sized grids or nets, or other structures based on such grids and nets, by creating molecular links between elementary molecular modules constrained to move in only two directions on an interface or surface by adhesion or bonding to that interface or surface. In the methods of this invention, monomers are employed as the building blocks of grids and more complex structures. Monomers are introduced onto and allowed to adhere or bond to an interface. The connector groups of adjacent adhered monomers are then polymerized with each other to form a regular grid in two dimensions above the interface. Modules that are not bound or adhered to the interface are removed prior to reaction of the connector groups to avoid undesired three-dimensional cross-linking and the formation of non-grid structures. Grids formed by the methods of this invention are useful in a variety of applications, including among others, for separations technology, as masks for forming regular surface structures (i.e., metal deposition) and as templates for three-dimensional molecular-sized structures. 9 figs.

  19. Intelligent Controls for Net-Zero Energy Buildings

    SciTech Connect (OSTI)

    Li, Haorong; Cho, Yong; Peng, Dongming

    2011-10-30

    The goal of this project is to develop and demonstrate enabling technologies that can empower homeowners to convert their homes into net-zero energy buildings in a cost-effective manner. The project objectives and expected outcomes are as follows: • To develop rapid and scalable building information collection and modeling technologies that can obtain and process “as-built” building information in an automated or semiautomated manner. • To identify low-cost measurements and develop low-cost virtual sensors that can monitor building operations in a plug-n-play and low-cost manner. • To integrate and demonstrate low-cost building information modeling (BIM) technologies. • To develop decision support tools which can empower building owners to perform energy auditing and retrofit analysis. • To develop and demonstrate low-cost automated diagnostics and optimal control technologies which can improve building energy efficiency in a continual manner.

  20. Green Pricing and Net Metering Programs - Energy Information Administration

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 1,517 6,194 848 174 7,259 Feet)

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 42,832 42,302 44,981 33,140 2000's 49,012 95,639 110,417 76,421 66,612 92,474 80,907 88,886 61,641 81,898 2010's 63,548 47,616 23,000 5,758 1,413 4,940

    ‹ See All Renewable Reports Green Pricing and Net Metering Programs With data for 2010 | Release Date:

  1. Modeling Cyber Conflicts Using an Extended Petri Net Formalism

    SciTech Connect (OSTI)

    Zakrzewska, Anita N; Ferragut, Erik M

    2011-01-01

    When threatened by automated attacks, critical systems that require human-controlled responses have difficulty making optimal responses and adapting protections in real- time and may therefore be overwhelmed. Consequently, experts have called for the development of automatic real-time reaction capabilities. However, a technical gap exists in the modeling and analysis of cyber conflicts to automatically understand the repercussions of responses. There is a need for modeling cyber assets that accounts for concurrent behavior, incomplete information, and payoff functions. Furthermore, we address this need by extending the Petri net formalism to allow real-time cyber conflicts to be modeled in a way that is expressive and concise. This formalism includes transitions controlled by players as well as firing rates attached to transitions. This allows us to model both player actions and factors that are beyond the control of players in real-time. We show that our formalism is able to represent situational aware- ness, concurrent actions, incomplete information and objective functions. These factors make it well-suited to modeling cyber conflicts in a way that allows for useful analysis. MITRE has compiled the Common Attack Pattern Enumera- tion and Classification (CAPEC), an extensive list of cyber attacks at various levels of abstraction. CAPEC includes factors such as attack prerequisites, possible countermeasures, and attack goals. These elements are vital to understanding cyber attacks and to generating the corresponding real-time responses. We demonstrate that the formalism can be used to extract precise models of cyber attacks from CAPEC. Several case studies show that our Petri net formalism is more expressive than other models, such as attack graphs, for modeling cyber conflicts and that it is amenable to exploring cyber strategies.

  2. Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation Case Study

    SciTech Connect (OSTI)

    Chang, R.; Hayter, S.; Hotchkiss, E.; Pless, S.; Sielcken, J.; Smith-Larney, C.

    2014-10-01

    The federal government is mandated with improving efficiency of buildings, incorporating renewable energy, and achieving net-zero energy operations where possible. These challenges led GSA to consider aligning historic preservation renovations with net-zero energy goals. The Wayne N. Aspinall Federal Building and U.S. Courthouse (Aspinall Courthouse), in Grand Junction, Colorado, is an example of a renovation project that aimed to accomplish both historic preservation and net-zero energy goals.

  3. Best Practices for Controlling Capital Costs in Net Zero Energy Design and

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Construction - 2014 BTO Peer Review | Department of Energy Best Practices for Controlling Capital Costs in Net Zero Energy Design and Construction - 2014 BTO Peer Review Best Practices for Controlling Capital Costs in Net Zero Energy Design and Construction - 2014 BTO Peer Review Presenter: Shanti Pless, National Renewable Energy Laboratory For net zero energy (NZE) building performance to become the norm in new commercial construction, it is necessary to demonstrate that NZE can be achieved

  4. Net Zero Energy Military Installations: A Guide to Assessment and Planning

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy Net Zero Energy Military Installations: A Guide to Assessment and Planning Net Zero Energy Military Installations: A Guide to Assessment and Planning In 2008, DoD and DOE defined a joint initiative to address military energy use by identifying specific actions to reduce energy demand and increase use of renewable energy on DoD installations. PDF icon 48876.pdf More Documents & Publications Lessons Learned from Net Zero Energy Assessments and Renewable Energy

  5. New Zero Net-Energy Facility: A Test Bed for Home Efficiency | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Zero Net-Energy Facility: A Test Bed for Home Efficiency New Zero Net-Energy Facility: A Test Bed for Home Efficiency September 17, 2012 - 2:34pm Addthis Deputy Assistant Secretary for Energy Efficiency Kathleen Hogan joined representatives from the National Institute of Standards and Technology (NIST) and state and local elected officials to celebrate the opening of the new zero net-energy residential test laboratory. | Photo courtesy of NIST. Deputy Assistant Secretary for Energy

  6. Analysis: Targeting Zero Net Energy - 2014 BTO Peer Review | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Analysis: Targeting Zero Net Energy - 2014 BTO Peer Review Analysis: Targeting Zero Net Energy - 2014 BTO Peer Review Presenter: Scott Horowitz, National Renewable Energy Laboratory Development of whole-house zero energy ready solutions requires accurate models for a full range of enclosure and equipment technologies. The primary goal of this project is to provide an accurate analysis for Building America program planning, emerging technologies, and net zero energy packages for new

  7. NREL and Army Validate Energy Savings for Net Zero Energy Installations -

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    News Releases | NREL NREL and Army Validate Energy Savings for Net Zero Energy Installations Net Zero Energy Installations could save millions a year in energy costs October 27, 2014 The U.S. Army (Army) has partnered with the Energy Department's National Renewable Energy Laboratory (NREL) to increase energy security through improved energy efficiency and optimized renewable energy strategies at nine installations in the Army's portfolio. If all nine of the Army Net Zero Energy Installation

  8. DOE to Pursue Zero-Net Energy Commercial Buildings | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Pursue Zero-Net Energy Commercial Buildings DOE to Pursue Zero-Net Energy Commercial Buildings August 5, 2008 - 2:40pm Addthis National Renewable Energy Laboratory Announces Support for Clean Tech Open PALO ALTO, Calif. - U.S. Department of Energy (DOE) Deputy Assistant Secretary for Energy Efficiency David Rodgers today announced the launch of DOE's Zero-Net Energy Commercial Building Initiative (CBI) with establishment of the National Laboratory Collaborative on Building Technologies

  9. U.S. Fish and Wildlife Service Moves toward Net-Zero Buildings | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Fish and Wildlife Service Moves toward Net-Zero Buildings U.S. Fish and Wildlife Service Moves toward Net-Zero Buildings This fact sheet is an overview of the U.S. Fish and Wildlife Service's net-zero energy visitor's center at the Assabet River National Wildlife. PDF icon usfws_netzerobuildings.pdf More Documents & Publications Federal Energy and Water Management Award winner poster Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial Buildings Kaupuni

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

    Open Energy Info (EERE)

    Impact of Rate Design and Net Metering on the Bill Savings from Distributed Photovoltaics (PV) for Residential Customers in California Jump to: navigation, search Tool Summary...

  11. ,"U.S. Natural Gas Salt Underground Storage Activity-Net (MMcf...

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

    ...dnavnghistn5460us2m.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: U.S. Natural Gas Salt Underground Storage Activity-Net (MMcf)" ...

  12. ,"U.S. Natural Gas Salt Underground Storage Activity-Net (MMcf...

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

    ...dnavnghistn5460us2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: U.S. Natural Gas Salt Underground Storage Activity-Net (MMcf)" ...

  13. U.S. Fish and Wildlife Service Moves toward Net-Zero Buildings (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-12-01

    This fact sheet is an overview of the U.S. Fish and Wildlife Service's net-zero energy visitor's center at the Assabet River National Wildlife.

  14. Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Courthouse: GSA's Historic Preservation and Net-Zero Renovation A Common Definition for Zero Energy Buildings Before the House Transportation and Infrastructure Subcommittee on ...

  15. Community Renewable Energy Success Stories Webinar: Net Zero Energy Communities (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the Webinar titled "Community Renewable Energy Success Stories – Net Zero Energy Communities," originally presented on October 16, 2012.

  16. Final environmental assessment for the U.S. Department of Energy, Oak Ridge Operations receipt and storage of uranium materials from the Fernald Environmental Management Project site

    SciTech Connect (OSTI)

    1999-06-01

    Through a series of material transfers and sales agreements over the past 6 to 8 years, the Fernald Environmental Management Project (FEMP) has reduced its nuclear material inventory from 14,500 to approximately 6,800 metric tons of uranium (MTU). This effort is part of the US Department of energy`s (DOE`s) decision to change the mission of the FEMP site; it is currently shut down and the site is being remediated. This EA focuses on the receipt and storage of uranium materials at various DOE-ORO sites. The packaging and transportation of FEMP uranium material has been evaluated in previous NEPA and other environmental evaluations. A summary of these evaluation efforts is included as Appendix A. The material would be packaged in US Department of Transportation-approved shipping containers and removed from the FEMP site and transported to another site for storage. The Ohio Field Office will assume responsibility for environmental analyses and documentation for packaging and transport of the material as part of the remediation of the site, and ORO is preparing this EA for receipt and storage at one or more sites.

  17. Northern pike bycatch in an inland commercial hoop net fishery: effects of water temperature and net tending frequency on injury, physiology, and survival

    SciTech Connect (OSTI)

    Colotelo, Alison HA; Raby, Graham D.; Hasler, Caleb T.; Haxton, Tim; Smokorowski, Karen; Blouin-Demers, Gabriel; Cooke, Steven J.

    2013-01-01

    In lakes and rivers of eastern Ontario (Canada) commercial fishers use hoop nets to target a variety of fishes, but incidentally capture non-target (i.e., bycatch) gamefish species such as northern pike (Esox lucius). Little is known about the consequences of bycatch in inland commercial fisheries, making it difficult to identify regulatory options. Regulations that limit fishing during warmer periods and that require frequent net tending have been proposed as possible strategies to reduce bycatch mortality. Using northern pike as a model, we conducted experiments during two thermal periods (mid-April: 14.45 ± 0.32 °C, and late May: 17.17 ± 0.08 °C) where fish were retained in nets for 2 d and 6 d. A ‘0 d’ control group consisted of northern pike that were angled, immediately sampled and released. We evaluated injury, physiological status and mortality after the prescribed net retention period and for the surviving fish used radio telemetry with manual tracking to monitor delayed post-release mortality. Our experiments revealed that injury levels, in-net mortality, and post-release mortality tended to increase with net set duration and at higher temperatures. Pike exhibited signs of chronic stress and starvation following retention, particularly at higher temperatures. Total mortality rates were negligible for the 2 d holding period at 14 °C, 14% for 6 d holding at 14 °C, 21% for 2 d holding at 17 °C, and 58% for 6 d holding at 17 °C. No mortality was observed in control fish. Collectively, these data reveal that frequent net tending, particularly at warmer temperatures, may be useful for conserving gamefish populations captured as bycatch in inland hoop net fisheries.

  18. Climatic Forecasting of Net Infiltration at Yucca Montain Using Analogue Meteororological Data

    SciTech Connect (OSTI)

    B. Faybishenko

    2006-09-11

    At Yucca Mountain, Nevada, future changes in climatic conditions will most likely alter net infiltration, or the drainage below the bottom of the evapotranspiration zone within the soil profile or flow across the interface between soil and the densely welded part of the Tiva Canyon Tuff. The objectives of this paper are to: (a) develop a semi-empirical model and forecast average net infiltration rates, using the limited meteorological data from analogue meteorological stations, for interglacial (present day), and future monsoon, glacial transition, and glacial climates over the Yucca Mountain region, and (b) corroborate the computed net-infiltration rates by comparing them with the empirically and numerically determined groundwater recharge and percolation rates through the unsaturated zone from published data. In this paper, the author presents an approach for calculations of net infiltration, aridity, and precipitation-effectiveness indices, using a modified Budyko's water-balance model, with reference-surface potential evapotranspiration determined from the radiation-based Penman (1948) formula. Results of calculations show that net infiltration rates are expected to generally increase from the present-day climate to monsoon climate, to glacial transition climate, and then to the glacial climate. The forecasting results indicate the overlap between the ranges of net infiltration for different climates. For example, the mean glacial net-infiltration rate corresponds to the upper-bound glacial transition net infiltration, and the lower-bound glacial net infiltration corresponds to the glacial transition mean net infiltration. Forecasting of net infiltration for different climate states is subject to numerous uncertainties-associated with selecting climate analogue sites, using relatively short analogue meteorological records, neglecting the effects of vegetation and surface runoff and runon on a local scale, as well as possible anthropogenic climate changes.

  19. Zero Net Energy Myths and Modes of Thought

    SciTech Connect (OSTI)

    Rajkovich, Nicholas B.; Diamond, Rick; Burke, Bill

    2010-09-20

    The U.S. Department of Energy (DOE), the California Public Utilities Commission (CPUC), and a number of professional organizations have established a target of zero net energy (ZNE) in buildings by 2030. One definition of ZNE is a building with greatly reduced needs for energy through efficiency gains with the balance of energy needs supplied by renewable technologies. The push to ZNE is a response to research indicating that atmospheric concentrations of greenhouse gases have increased sharply since the eighteenth century, resulting in a gradual warming of the Earth?s climate. A review of ZNE policies reveals that the organizations involved frame the ZNE issue in diverse ways, resulting in a wide variety of myths and a divergent set of epistemologies. With federal and state money poised to promote ZNE, it is timely to investigate how epistemologies, meaning a belief system by which we take facts and convert them into knowledge upon which to take action, and the propagation of myths might affect the outcome of a ZNE program. This paper outlines myths commonly discussed in the energy efficiency and renewable energy communities related to ZNE and describes how each myth is a different way of expressing"the truth." The paper continues by reviewing a number of epistemologies common to energy planning, and concludes that the organizations involved in ZNE should work together to create a"collaborative rationality" for ZNE. Through this collaborative framework it is argued that we may be able to achieve the ZNE and greenhouse gas mitigation targets.

  20. Net lost revenue from DSM: State policies that work

    SciTech Connect (OSTI)

    Baxter, L.W.

    1995-07-01

    A key utility regulatory reform undertaken since 1989 allows utilities to recover the lost revenue incurred through successful operation of demand-side management (DSM) programs. Net lost revenue adjustment (NLRA) mechanisms are states preferred approach to lost revenue recovery from DSM programs. This paper examines the experiences states and utilities are having with the NLRA approach. The paper has three objectives: (1) determine whether NLRA is a feasible and effective approach to the lost-revenue disincentive for utility DSM programs, (2) identify the conditions linked to effective implementation of NLRA mechanisms and assess whether NLRA has changed utility investment behavior, and (3) suggest improvements to NLRA mechanisms. Contrary to the concerns raised by some industry analysts, our results indicate NLRA is a feasible approach. Seven of the ten states we studied report no substantial problems with their approach. We observe several conditions linked to effective NLRA implementation. Observed changes in utility investment behavior occur after implementation of DSM rate reforms, which include deployment of NLRA mechanisms. Utilities in states with lost revenue recovery invest more than twice as much in DSM as do utilities in other states.

  1. Surface daytime net radiation estimation using artificial neural networks

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Jiang, Bo; Zhang, Yi; Liang, Shunlin; Zhang, Xiaotong; Xiao, Zhiqiang

    2014-11-11

    Net all-wave surface radiation (Rn) is one of the most important fundamental parameters in various applications. However, conventional Rn measurements are difficult to collect because of the high cost and ongoing maintenance of recording instruments. Therefore, various empirical Rn estimation models have been developed. This study presents the results of two artificial neural network (ANN) models (general regression neural networks (GRNN) and Neuroet) to estimate Rn globally from multi-source data, including remotely sensed products, surface measurements, and meteorological reanalysis products. Rn estimates provided by the two ANNs were tested against in-situ radiation measurements obtained from 251 global sites between 1991–2010more » both in global mode (all data were used to fit the models) and in conditional mode (the data were divided into four subsets and the models were fitted separately). Based on the results obtained from extensive experiments, it has been proved that the two ANNs were superior to linear-based empirical models in both global and conditional modes and that the GRNN performed better and was more stable than Neuroet. The GRNN estimates had a determination coefficient (R2) of 0.92, a root mean square error (RMSE) of 34.27 W·m–2 , and a bias of –0.61 W·m–2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.« less

  2. Net effects of government intervention in energy markets

    SciTech Connect (OSTI)

    Dickens, P.F. III; McNicol, D.L.; Murphy, F.H.; Zalkind, J.H.

    1983-04-01

    The energy programs considered herein have little impact on energy supply, consumption, prices, and oil imports. The broad similarity between the current programs case and the less-intervention case (current programs modified) is largely explained by (1) the intended effects of some programs that will be more pronounced in later decades, (2) higher energy prices that work in the same direction as many energy programs and hence tend to reduce the impacts of these programs, and (3) the effects of the energy programs that offset one another. The conclusions do not imply that energy programs are inconsequential. Many of the recent programs were initiated to counterbalance the effect of programs right after the 1973-1974 soil embargo when policy was to alleviate the pain of higher prices. Shifting directions and imposing this panoply of programs has not been without cost in terms of resources required to operate programs, the economic distortions associated with the programs, and the political energy involved. 8 references, 1 figure, 4 tables.

  3. Electrohydraulic Forming of Near-Net Shape Automotive Panels

    SciTech Connect (OSTI)

    Golovaschenko, Sergey F.

    2013-09-26

    The objective of this project was to develop the electrohydraulic forming (EHF) process as a near-net shape automotive panel manufacturing technology that simultaneously reduces the energy embedded in vehicles and the energy consumed while producing automotive structures. Pulsed pressure is created via a shockwave generated by the discharge of high voltage capacitors through a pair of electrodes in a liquid-filled chamber. The shockwave in the liquid initiated by the expansion of the plasma channel formed between two electrodes propagates towards the blank and causes the blank to be deformed into a one-sided die cavity. The numerical model of the EHF process was validated experimentally and was successfully applied to the design of the electrode system and to a multi-electrode EHF chamber for full scale validation of the process. The numerical model was able to predict stresses in the dies during pulsed forming and was validated by the experimental study of the die insert failure mode for corner filling operations. The electrohydraulic forming process and its major subsystems, including durable electrodes, an EHF chamber, a water/air management system, a pulse generator and integrated process controls, were validated to be capable to operate in a fully automated, computer controlled mode for forming of a portion of a full-scale sheet metal component in laboratory conditions. Additionally, the novel processes of electrohydraulic trimming and electrohydraulic calibration were demonstrated at a reduced-scale component level. Furthermore, a hybrid process combining conventional stamping with EHF was demonstrated as a laboratory process for a full-scale automotive panel formed out of AHSS material. The economic feasibility of the developed EHF processes was defined by developing a cost model of the EHF process in comparison to the conventional stamping process.

  4. Surface daytime net radiation estimation using artificial neural networks

    SciTech Connect (OSTI)

    Jiang, Bo; Zhang, Yi; Liang, Shunlin; Zhang, Xiaotong; Xiao, Zhiqiang

    2014-11-11

    Net all-wave surface radiation (Rn) is one of the most important fundamental parameters in various applications. However, conventional Rn measurements are difficult to collect because of the high cost and ongoing maintenance of recording instruments. Therefore, various empirical Rn estimation models have been developed. This study presents the results of two artificial neural network (ANN) models (general regression neural networks (GRNN) and Neuroet) to estimate Rn globally from multi-source data, including remotely sensed products, surface measurements, and meteorological reanalysis products. Rn estimates provided by the two ANNs were tested against in-situ radiation measurements obtained from 251 global sites between 1991–2010 both in global mode (all data were used to fit the models) and in conditional mode (the data were divided into four subsets and the models were fitted separately). Based on the results obtained from extensive experiments, it has been proved that the two ANNs were superior to linear-based empirical models in both global and conditional modes and that the GRNN performed better and was more stable than Neuroet. The GRNN estimates had a determination coefficient (R2) of 0.92, a root mean square error (RMSE) of 34.27 W·m–2 , and a bias of –0.61 W·m–2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.

  5. Workbook Contents

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

    Coast (PADD 1) Net Receipts by Pipeline, Tanker, and Barge from Other PADDs of Ethane-Ethylene (Thousand Barrels)","East Coast (PADD 1) Net Receipts by Pipeline, Tanker, and...

  6. NetMOD Version 2.0 User?s Manual.

    SciTech Connect (OSTI)

    Merchant, Bion J.

    2015-10-01

    NetMOD ( Net work M onitoring for O ptimal D etection) is a Java-based software package for conducting simulation of seismic, hydracoustic, and infrasonic networks. Specifically, NetMOD simulates the detection capabilities of monitoring networks. Network simulations have long been used to study network resilience to station outages and to determine where additional stations are needed to reduce monitoring thresholds. NetMOD makes use of geophysical models to determine the source characteristics, signal attenuation along the path between the source and station, and the performance and noise properties of the station. These geophysical models are combined to simulate the relative amplitudes of signal and noise that are observed at each of the stations. From these signal-to-noise ratios (SNR), the probability of detection can be computed given a detection threshold. This manual describes how to configure and operate NetMOD to perform detection simulations. In addition, NetMOD is distributed with simulation datasets for the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) International Monitoring System (IMS) seismic, hydroacoustic, and infrasonic networks for the purpose of demonstrating NetMOD's capabilities and providing user training. The tutorial sections of this manual use this dataset when describing how to perform the steps involved when running a simulation. ACKNOWLEDGEMENTS We would like to thank the reviewers of this document for their contributions.

  7. Validation and Spatiotemporal Analysis of CERES Surface Net Radiation Product

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Jia, Aolin; Jiang, Bo; Liang, Shunlin; Zhang, Xiaotong; Ma, Han

    2016-01-23

    The Clouds and the Earth’s Radiant Energy System (CERES) generates one of the few global satellite radiation products. The CERES ARM Validation Experiment (CAVE) has been providing long-term in situ observations for the validation of the CERES products. However, the number of these sites is low and their distribution is globally sparse, and particularly the surface net radiation product has not been rigorously validated yet. Therefore, additional validation efforts are highly required to determine the accuracy of the CERES radiation products. In this study, global land surface measurements were comprehensively collected for use in the validation of the CERES netmore » radiation (Rn) product on a daily (340 sites) and a monthly (260 sites) basis, respectively. The validation results demonstrated that the CERES Rn product was, overall, highly accurate. The daily validations had a Mean Bias Error (MBE) of 3.43 W·m−2, Root Mean Square Error (RMSE) of 33.56 W·m−2, and R2 of 0.79, and the monthly validations had an MBE of 3.40 W·m−2, RMSE of 25.57 W·m−2, and R2 of 0.84. The accuracy was slightly lower for the high latitudes. Following the validation, the monthly CERES Rn product, from March 2000 to July 2014, was used for a further analysis. We analysed the global spatiotemporal variation of the Rn, which occurred during the measurement period. In addition, two hot spot regions, the southern Great Plains and south-central Africa, were then selected for use in determining the driving factors or attribution of the Rn variation. We determined that Rn over the southern Great Plains decreased by −0.33 W·m−2 per year, which was mainly driven by changes in surface green vegetation and precipitation. In south-central Africa, Rn decreased at a rate of −0.63 W·m−2 per year, the major driving factor of which was surface green vegetation.« less

  8. NET-ZERO ENERGY BUILDING OPERATOR TRAINING PROGRAM (NZEBOT)

    SciTech Connect (OSTI)

    Brizendine, Anthony; Byars, Nan; Sleiti, Ahmad; Gehrig, Bruce; Lu, Na

    2012-12-31

    The primary objective of the Net-Zero Energy Building Operator Training Program (NZEBOT) was to develop certificate level training programs for commercial building owners, managers and operators, principally in the areas of energy / sustainability management. The expected outcome of the project was a multi-faceted mechanism for developing the skill-based competency of building operators, owners, architects/engineers, construction professionals, tenants, brokers and other interested groups in energy efficient building technologies and best practices. The training program draws heavily on DOE supported and developed materials available in the existing literature, as well as existing, modified, and newly developed curricula from the Department of Engineering Technology & Construction Management (ETCM) at the University of North Carolina at Charlotte (UNC-Charlotte). The project goal is to develop a certificate level training curriculum for commercial energy and sustainability managers and building operators that: 1) Increases the skill-based competency of building professionals in energy efficient building technologies and best practices, and 2) Increases the workforce pool of expertise in energy management and conservation techniques. The curriculum developed in this project can subsequently be used to establish a sustainable energy training program that can contribute to the creation of new “green” job opportunities in North Carolina and throughout the Southeast region, and workforce training that leads to overall reductions in commercial building energy consumption. Three energy training / education programs were developed to achieve the stated goal, namely: 1. Building Energy/Sustainability Management (BESM) Certificate Program for Building Managers and Operators (40 hours); 2. Energy Efficient Building Technologies (EEBT) Certificate Program (16 hours); and 3. Energy Efficent Buildings (EEB) Seminar (4 hours). Training Program 1 incorporates the following topics in the primary five-day Building Energy/Sustainability Management Certificate program in five training modules, namely: 1) Strategic Planning, 2) Sustainability Audits, 3) Information Analysis, 4) Energy Efficiency, and 5) Communication. Training Program 2 addresses the following technical topics in the two-day Building Technologies workshop: 1) Energy Efficient Building Materials, 2) Green Roofing Systems, 3) Energy Efficient Lighting Systems, 4) Alternative Power Systems for Buildings, 5) Innovative Building Systems, and 6) Application of Building Performance Simulation Software. Program 3 is a seminar which provides an overview of elements of programs 1 and 2 in a seminar style presentation designed for the general public to raise overall public awareness of energy and sustainability topics.

  9. Kaupuni Village: A closer look at the first net-zero energy affordable housing community in Hawaii

    Broader source: Energy.gov [DOE]

    Information on the LEED Platinum, net-zero energy, Kaupuni Village in Hawaii, which is comprised of 19 single-family homes and a community center. Not only are the structures built to be net-zero,...

  10. South Dakota Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) South Dakota Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 0 1990's 0 -15 11 0 0 0 -143 0 -9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Liquefied Natural Gas from Storage South Dakota

  11. New Mexico Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) New Mexico Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 8 0 0 0 0 0 0 0 0 0 1990's 0 0 2,599 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Liquefied

  12. U.S. Energy Information Administration | Green Pricing and Net Metering Programs 2009

    Gasoline and Diesel Fuel Update (EIA)

    Green Pricing and Net Metering Programs 2009 4 Green Pricing and Net Metering Programs 2009 Table 5.2 Estimated U.S. Net Metering Customers by State and Customer Class, 2008 and 2009 State Electric Industry Participants 20091 Participating Customers 2009 2008 Residential Non-Residential Total Total Alabama 1 2 - 2 2 Alaska - - - - 26 Arizona 9 3,678 161 3,839 1,951 Arkansas 9 57 6 63 31 California 28 49,892 3,295 53,187 45,719 Colorado 28 7,132 672 7,804 3,787 Connecticut 2 1,210 138 1,348 795

  13. Fact #837: September 8, 2014 Gap between Net Imports and Total Imports of Petroleum is Widening – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #837: Gap between Net Imports and Total Imports of Petroleum is Widening

  14. Fact #837: September 8, 2014 Gap between Net Imports and Total...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Excel file with dataset for Fact 837: Gap between Net Imports and Total Imports of ... were Only 33% of U.S. Consumption in 2013 - Dataset Fact 839: September 22, 2014 ...

  15. Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations

    Broader source: Energy.gov [DOE]

    NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations.

  16. ORISE: PeerNet® used to support DOE's Office of Science Enrico...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ORAU PeerNet used to support DOE's Office of Science Enrico Fermi Award selection Peer ... U.S. Department of Energy's (DOE) Office of Science Enrico Fermi Award, a prestigious ...

  17. Fact #837: September 8, Gap between Net Imports and Total Imports of Petroleum is Widening

    Broader source: Energy.gov [DOE]

    Net imports of petroleum (total imports minus exports) were 6.2 million barrels per day in 2013 – the lowest since the 1980's (dark blue line). The widening gap between total imports (light blue...

  18. Kaupuni Village: A closer look at the first net-zero energy affordable...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Information on the LEED Platinum, net-zero energy, Kaupuni Village in Hawaii, which is comprised of 19 single-family homes and a community center. Not only are the structures built ...

  19. U.S. net oil and petroleum product imports expected to fall to...

    Gasoline and Diesel Fuel Update (EIA)

    net oil and petroleum product imports expected to fall to just 29 percent of demand in 2014 With rising domestic crude oil production, the United States will rely less on imports ...

  20. ,"U.S. Natural Gas Non-Salt Underground Storage Activity-Net...

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

    ...dnavnghistn5560us2m.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: U.S. Natural Gas Non-Salt Underground Storage Activity-Net (MMcf)" ...

  1. ,"U.S. Natural Gas Non-Salt Underground Storage Activity-Net...

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

    ...dnavnghistn5560us2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: U.S. Natural Gas Non-Salt Underground Storage Activity-Net (MMcf)" ...

  2. Residential Research Leading to Net-Zero Energy Homes and Communities (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-09-01

    This fact sheet describes the Advanced Residential Buildings Research at the National Renewable Energy Laboratory and how the group is working to achieve net-zero energy homes and communities.

  3. Casting a Wider Net: Distributed Resources for Metagenomics (2010 JGI/ANL HPC Workshop)

    SciTech Connect (OSTI)

    Meyer, Folker [ANL] [ANL

    2010-01-26

    Folker Meyer from Argonne National Lab gives a presentation on "Casting a Wider Net: Distributed Resources for Metagenomics" at the JGI/Argonne HPC Workshop on January 26, 2010.

  4. NetCAP status report for the end of fiscal year 2010.

    SciTech Connect (OSTI)

    Hamlet, Benjamin Roger; Young, Christopher John

    2010-10-01

    Fiscal year 2010 (FY10) is the second full year of NetCAP development and the first full year devoted largely to new feature development rather than the reimplementation of existing capabilities found in NetSim (Sereno et al., 1990). Major tasks completed this year include: (1) Addition of hydroacoustic simulation; (2) Addition of event Identification simulation; and (3) Initial design and preparation for infrasound simulation. The Network Capability Assessment Program (NetCAP) is a software tool under development at Sandia National Laboratories used for studying the capabilities of nuclear explosion monitoring networks. This report discusses motivation and objectives for the NetCAP project, lists work performed prior to fiscal year 2010 (FY10) and describes FY10 accomplishments in detail.

  5. Casting a Wider Net: Distributed Resources for Metagenomics (2010 JGI/ANL HPC Workshop)

    ScienceCinema (OSTI)

    Meyer, Folker [ANL

    2011-06-08

    Folker Meyer from Argonne National Lab gives a presentation on "Casting a Wider Net: Distributed Resources for Metagenomics" at the JGI/Argonne HPC Workshop on January 26, 2010.

  6. The use of neural nets for matching compressors with diesel engines

    SciTech Connect (OSTI)

    Nelson, S.A. II; Filipi, Z.S.; Assanis, D.N.

    1996-12-31

    A technique which uses trained neural nets to model the compressor in the context of a turbocharged diesel engine simulation is introduced. This technique replaces the usual interpolation of compressor maps with the evaluation of a smooth mathematical function, thus providing engine simulations with greater robustness and flexibility. Following presentation of the methodology, the proposed neural net technique is validated against data from a truck type, 6-cylinder, 14 liter diesel engine. Furthermore, with the introduction of an additional parameter, the proposed neural net can be trained to simulate an entire family of compressors. As a demonstration, five compressors of different sizes are represented with the neural net model, and used for matching calculations with intercooled and non-intercooled engine configurations at different speeds. This novel approach readily allows for evaluation of various options prior to prototype production, and is thus a powerful design tool for selection of the best compressor for a given diesel engine system.

  7. Economic Investigation of Community-Scale Versus Building Scale Net-Zero Energy

    SciTech Connect (OSTI)

    Fernandez, Nicholas; Katipamula, Srinivas; Brambley, Michael R.; Reddy, T. A.

    2009-12-31

    The study presented in this report examines issues concerning whether achieving net-zero energy performance at the community scale provides economic and potentially overall efficiency advantages over strategies focused on individual buildings.

  8. Zero Net Energy Homes Production Builder Business Case: California/Florida

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Production Builders - Building America Top Innovation | Department of Energy Zero Net Energy Homes Production Builder Business Case: California/Florida Production Builders - Building America Top Innovation Zero Net Energy Homes Production Builder Business Case: California/Florida Production Builders - Building America Top Innovation Photo of a solar home. Building America's production builder partners have found that energy efficiency helps them sell more homes and sell them faster than

  9. Owner Receives Keys to Net Zero Energy Habitat for Humanity House - News

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Releases | NREL Owner Receives Keys to Net Zero Energy Habitat for Humanity House Home to Produce as Much Energy as it Consumes Annually September 15, 2005 Golden, Colo. - Habitat for Humanity of Metro Denver today dedicated the ultimate energy efficient demonstration home: a house designed to produce as much energy as it consumes on an annual basis. The Net Zero Energy Habitat for Humanity House, at 4700 Carr Street in Wheat Ridge, Colo., combines energy efficient building design that

  10. An ecosystem-scale perspective of the net land methanol flux: synthesis of

    Office of Scientific and Technical Information (OSTI)

    micrometeorological flux measurements (Journal Article) | SciTech Connect An ecosystem-scale perspective of the net land methanol flux: synthesis of micrometeorological flux measurements Citation Details In-Document Search Title: An ecosystem-scale perspective of the net land methanol flux: synthesis of micrometeorological flux measurements We present field observations made in June 2011 downwind of Dallas-Fort Worth, TX, and evaluate the role of stabilized Criegee radicals (sCIs) in gaseous

  11. Net electron-phonon scattering rates in InN/GaN multiple quantum wells: The

    Office of Scientific and Technical Information (OSTI)

    effects of an energy dependent acoustic deformation potential (Journal Article) | SciTech Connect Net electron-phonon scattering rates in InN/GaN multiple quantum wells: The effects of an energy dependent acoustic deformation potential Citation Details In-Document Search Title: Net electron-phonon scattering rates in InN/GaN multiple quantum wells: The effects of an energy dependent acoustic deformation potential The rates of charge carrier relaxation by phonon emission are of substantial

  12. Estimation of net primary productivity using a process-based model in Gansu

    Office of Scientific and Technical Information (OSTI)

    Province, Northwest China (Journal Article) | SciTech Connect Journal Article: Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China Citation Details In-Document Search Title: Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China The ecological structure in the arid and semi-arid region of Northwest China with forest, grassland, agriculture, Gobi, and desert, is complex, vulnerable, and unstable.

  13. CHARACTERIZATION OF NEAR NET-SHAPE CASTABLE RARE EARTH MODIFIED ALUMINUM

    Office of Scientific and Technical Information (OSTI)

    ALLOYS FOR HIGH TEMPERATURE APPLICATION (Conference) | SciTech Connect Conference: CHARACTERIZATION OF NEAR NET-SHAPE CASTABLE RARE EARTH MODIFIED ALUMINUM ALLOYS FOR HIGH TEMPERATURE APPLICATION Citation Details In-Document Search Title: CHARACTERIZATION OF NEAR NET-SHAPE CASTABLE RARE EARTH MODIFIED ALUMINUM ALLOYS FOR HIGH TEMPERATURE APPLICATION Authors: Sims, Zachary C [1] ; Rios, Orlando [1] ; McCall, S. K. [2] ; Ott, Dr. Ryan T. [3] ; Van Buuren, Tony [2] + Show Author Affiliations

  14. Table E13.1. Electricity: Components of Net Demand, 1998

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

    1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Electricity Components;" " Unit: Million Kilowatthours." " ",," "," ",," " ,,,,"Sales and","Net Demand","RSE" "Economic",,,"Total Onsite","Transfers","for","Row"

  15. untitled

    Gasoline and Diesel Fuel Update (EIA)

    September 2005 (Thousand Barrels) Field Production Refinery and Blender Net Production Imports (PADD of Entry) a Net Receipts Adjust- ments b Stock Change c Refinery and Blender...

  16. Evaluation of Low-Level Waste Disposal Receipt Data for Los Alamos National Laboratory Technical Area 54, Area G Disposal Facility - Fiscal Year 2011

    SciTech Connect (OSTI)

    French, Sean B. [Los Alamos National Laboratory; Shuman, Robert [WPS: WASTE PROJECTS AND SERVICES

    2012-04-17

    The Los Alamos National Laboratory (LANL or the Laboratory) generates radioactive waste as a result of various activities. Operational or institutional waste is generated from a wide variety of research and development activities including nuclear weapons development, energy production, and medical research. Environmental restoration (ER), and decontamination and decommissioning (D and D) waste is generated as contaminated sites and facilities at LANL undergo cleanup or remediation. The majority of this waste is low-level radioactive waste (LLW) and is disposed of at the Technical Area 54 (TA-54), Area G disposal facility. U.S. Department of Energy (DOE) Order 435.1 (DOE, 2001) requires that radioactive waste be managed in a manner that protects public health and safety, and the environment. To comply with this order, DOE field sites must prepare and maintain site-specific radiological performance assessments for LLW disposal facilities that accept waste after September 26, 1988. Furthermore, sites are required to conduct composite analyses that account for the cumulative impacts of all waste that has been (or will be) disposed of at the facilities and other sources of radioactive material that may interact with the facilities. Revision 4 of the Area G performance assessment and composite analysis was issued in 2008 (LANL, 2008). These analyses estimate rates of radionuclide release from the waste disposed of at the facility, simulate the movement of radionuclides through the environment, and project potential radiation doses to humans for several on-site and off-site exposure scenarios. The assessments are based on existing site and disposal facility data and on assumptions about future rates and methods of waste disposal. The accuracy of the performance assessment and composite analysis depends upon the validity of the data used and assumptions made in conducting the analyses. If changes in these data and assumptions are significant, they may invalidate or call into question certain aspects of the analyses. For example, if the volumes and activities of waste disposed of during the remainder of the disposal facility's lifetime differ significantly from those projected, the doses projected by the analyses may no longer apply. DOE field sites are required to implement a performance assessment and composite analysis maintenance program. The purpose of this program is to ensure the continued applicability of the analyses through incremental improvement of the level of understanding of the disposal site and facility. Site personnel are required to conduct field and experimental work to reduce the uncertainty in the data and models used in the assessments. Furthermore, they are required to conduct periodic reviews of waste receipts, comparing them to projected waste disposal rates. The radiological inventory for Area G was updated in conjunction with Revision 4 of the performance assessment and composite analysis (Shuman, 2008). That effort used disposal records and other sources of information to estimate the quantities of radioactive waste that have been disposed of at Area G from 1959, the year the facility started receiving waste on a routine basis, through 2007. It also estimated the quantities of LLW that will require disposal from 2008 through 2044, the year in which it is assumed that disposal operations at Area G will cease. This report documents the fourth review of Area G disposal receipts since the inventory was updated and examines information for waste placed in the ground during fiscal years (FY) 2008 through 2011. The primary objective of the disposal receipt review is to ensure that the future waste inventory projections developed for the performance assessment and composite analysis are consistent with the actual types and quantities of waste being disposed of at Area G. Toward this end, the disposal data that are the subject of this review are used to update the future waste inventory projections for the disposal facility. These projections are compared to the future inventory projections that were develope

  17. Independent Review of Simulation of Net Infiltration for Present-Day and Potential Future Climates

    SciTech Connect (OSTI)

    Review Panel: Soroosh Sorooshian, Ph.D., Panel Chairperson, University of California, Irvine; Jan M. H. Hendrickx, Ph.D., New Mexico Institute of Mining and Technology; Binayak P. Mohanty, Ph.D., Texas A&M University; Scott W. Tyler, Ph.D., University of Nevada, Reno; Tian-Chyi Jim Yeh, Ph.D., University of Arizona -- ORISE Review Facilitators: Robert S. Turner, Ph.D., Technical Review Group Manager, Oak Ridge Institute for Science and Education; Brian R. Herndon, Project Manager, Oak Ridge Institute for Science and Education; Russ Manning, Technical Writer/Editor, Haselwood Enterprises, Inc.

    2008-08-30

    The DOE Office of Civilian Radioactive Waste Management (OCRWM) tasked Oak Ridge Institute for Science and Education (ORISE) with providing an independent expert review of the documented model and prediction results for net infiltration of water into the unsaturated zone at Yucca Mountain. The specific purpose of the model, as documented in the report MDL-NBS-HS-000023, Rev. 01, is “to provide a spatial representation, including epistemic and aleatory uncertainty, of the predicted mean annual net infiltration at the Yucca Mountain site ...” (p. 1-1) The expert review panel assembled by ORISE concluded that the model report does not provide a technically credible spatial representation of net infiltration at Yucca Mountain. Specifically, the ORISE Review Panel found that: • A critical lack of site-specific meteorological, surface, and subsurface information prevents verification of (i) the net infiltration estimates, (ii) the uncertainty estimates of parameters caused by their spatial variability, and (iii) the assumptions used by the modelers (ranges and distributions) for the characterization of parameters. The paucity of site-specific data used by the modeling team for model implementation and validation is a major deficiency in this effort. • The model does not incorporate at least one potentially important hydrologic process. Subsurface lateral flow is not accounted for by the model, and the assumption that the effect of subsurface lateral flow is negligible is not adequately justified. This issue is especially critical for the wetter climate periods. This omission may be one reason the model results appear to underestimate net infiltration beneath wash environments and therefore imprecisely represent the spatial variability of net infiltration. • While the model uses assumptions consistently, such as uniform soil depths and a constant vegetation rooting depth, such assumptions may not be appropriate for this net infiltration simulation because they oversimplify a complex landscape and associated hydrologic processes, especially since the model assumptions have not been adequately corroborated by field and laboratory observations at Yucca Mountain.

  18. Net Zero Energy Military Installations: A Guide to Assessment and Planning

    SciTech Connect (OSTI)

    Booth, S.; Barnett, J.; Burman, K.; Hambrick, J.; Westby, R.

    2010-08-01

    The U.S. Department of Defense (DoD) recognizes the strategic importance of energy to its mission, and is working to reduce energy consumption and enhance energy self-sufficiency by drawing on local clean energy sources. A joint initiative formed between DoD and the U.S. Department of Energy (DOE) in 2008 to address military energy use led to a task force to examine the potential for net zero energy military installations, which would produce as much energy on site as they consume in buildings, facilities, and fleet vehicles. This report presents an assessment and planning process to examine military installations for net zero energy potential. Net Zero Energy Installation Assessment (NZEIA) presents a systematic framework to analyze energy projects at installations while balancing other site priorities such as mission, cost, and security.

  19. Targeting Net Zero Energy at Marine Corps Base Hawaii, Kaneohe Bay: Preprint

    SciTech Connect (OSTI)

    Burman, K.; Kandt, A.; Lisell, L.; Booth, S.

    2012-05-01

    This paper summarizes the results of an NREL assessment of Marine Corps Base Hawaii (MCBH), Kaneohe Bay to appraise the potential of achieving net zero energy status through energy efficiency, renewable energy, and hydrogen vehicle integration. In 2008, the U.S. Department of Defense's U.S. Pacific Command partnered with the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) to assess opportunities for increasing energy security through renewable energy and energy efficiency at Hawaii military installations. DOE selected Marine Corps Base Hawaii (MCBH), Kaneohe Bay, to receive technical support for net zero energy assessment and planning funded through the Hawaii Clean Energy Initiative (HCEI). NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and hydrogen vehicle integration. This paper summarizes the results of the assessment and provides energy recommendations. The analysis shows that MCBH Kaneohe Bay has the potential to make significant progress toward becoming a net zero installation. Wind, solar photovoltaics, solar hot water, and hydrogen production were assessed, as well as energy efficiency technologies. Deploying wind turbines is the most cost-effective energy production measure. If the identified energy projects and savings measures are implemented, the base will achieve a 96% site Btu reduction and a 99% source Btu reduction. Using excess wind and solar energy to produce hydrogen for a fleet and fuel cells could significantly reduce energy use and potentially bring MCBH Kaneohe Bay to net zero. Further analysis with an environmental impact and interconnection study will need to be completed. By achieving net zero status, the base will set an example for other military installations, provide environmental benefits, reduce costs, increase energy security, and exceed its energy goals and mandates.

  20. MetNet: Software to Build and Model the Biogenetic Lattice of Arabidopsis

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wurtele, Eve Syrkin; Li, Jie; Diao, Lixia; Zhang, Hailong; Foster, Carol M.; Fatland, Beth; Dickerson, Julie; Brown, Andrew; Cox, Zach; Cook, Dianne; et al

    2003-01-01

    MetNet (http://www.botany.iastate.edu/∼mash/metnetex/metabolicnetex.html) is publicly available software in development for analysis of genome-wide RNA, protein and metabolite profiling data. The software is designed to enable the biologist to visualize, statistically analyse and model a metabolic and regulatory network map of Arabidopsis , combined with gene expression profiling data. It contains a JAVA interface to an interactions database (MetNetDB) containing information on regulatory and metabolic interactions derived from a combination of web databases (TAIR, KEGG, BRENDA) and input from biologists in their area of expertise. FCModeler captures input from MetNetDB in a graphical form. Sub-networks can be identified and interpreted usingmore » simple fuzzy cognitive maps. FCModeler is intended to develop and evaluate hypotheses, and provide a modelling framework for assessing the large amounts of data captured by high-throughput gene expression experiments. FCModeler and MetNetDB are currently being extended to three-dimensional virtual reality display. The MetNet map, together with gene expression data, can be viewed using multivariate graphics tools in GGobi linked with the data analytic tools in R. Users can highlight different parts of the metabolic network and see the relevant expression data highlighted in other data plots. Multi-dimensional expression data can be rotated through different dimensions. Statistical analysis can be computed alongside the visual. MetNet is designed to provide a framework for the formulation of testable hypotheses regarding the function of specific genes, and in the long term provide the basis for identification of metabolic and regulatory networks that control plant composition and development.« less

  1. Building America Whole-House Solutions for New Homes: EcoVillage: A Net

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Zero Energy Ready Community, Ithaca, New York | Department of Energy EcoVillage: A Net Zero Energy Ready Community, Ithaca, New York Building America Whole-House Solutions for New Homes: EcoVillage: A Net Zero Energy Ready Community, Ithaca, New York Consortium for Advanced Residential Buildings is working with the EcoVillage co-housing community in Ithaca, New York, on their third neighborhood called the Third Residential EcoVillage Experience (TREE). This community-scale project consists

  2. Santa Fe Business Incubator nets big boost from Los Alamos Lab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Santa Fe Business Incubator nets big boost from LANL Santa Fe Business Incubator nets big boost from Los Alamos Lab LANL is providing funding to the Santa Fe Business Incubator BioScience Laboratory for the purchase of a commercial flow cytometer. April 15, 2014 Modern flow cytometers were invented at Los Alamos National Laboratory and can be used to count and sort individual cells from a stream of liquid. Modern flow cytometers were invented at Los Alamos National Laboratory and can be used to

  3. North Carolina Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) North Carolina Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 597 -94 -111 -282 448 -233 686 39 261 -1,205 1990's 1,445 -13 -92 -142 316 -138 218 330 203 1,997 2000's -722 1,797 -834 -343 734 -684 313 222 3 811 2010's -2,643 2,194 -258 449 462 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  4. Rhode Island Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Rhode Island Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -255 73 -17 -8 31 27 -16 -230 31 -38 1990's -46 393 -420 -337 160 -51 -753 -476 -749 24 2000's -812 -341 -47 -84 87 -64 21 4 -74 -256 2010's -230 -7 60 -21 -879 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  5. South Carolina Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) South Carolina Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3 190 -366 -160 104 191 61 64 -44 -57 1990's 147 -50 16 478 165 173 65 -455 -350 711 2000's -63 680 117 2 -191 -19 108 102 26 15 2010's -214 204 -100 -35 119 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  6. New York Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) New York Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 282 362 -46 124 181 239 -130 296 80 -31 1990's 902 250 370 371 290 40 591 865 58 197 2000's 238 -298 -110 -85 -340 -234 87 224 264 21 2010's 327 -147 -168 578 674 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  7. ORISE: PeerNet® used to support DOE's Office of Science Enrico Fermi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Award selection ORAU PeerNet® used to support DOE's Office of Science Enrico Fermi Award selection Peer review tool provided secure access for evaluating award nominees FOR IMMEDIATE RELEASE Feb. 5, 2014 FY14-08 WASHINGTON, D.C.-ORAU's electronic peer review and evaluation system, PeerNet®, was used to support the selection of recipients for the U.S. Department of Energy's (DOE) Office of Science Enrico Fermi Award, a prestigious award presented by U.S. Secretary of Energy Dr. Ernest Moniz

  8. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

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

    1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States

  9. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

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

    2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel --

  10. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;

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

    7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21

  11. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;

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

    Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547

  12. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;

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

    5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION

  13. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;

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

    6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17

  14. Nuclides.net: A Web-Based Environment for Nuclear Data and Applications

    SciTech Connect (OSTI)

    Galy, J.; Magill, J.

    2005-05-24

    An interactive multimedia tool, Nuclides.net, has been developed at the Institute for Transuranium Elements. The Nuclides.net 'integrated environment' is a suite of computer programs ranging from a powerful user-friendly interface, which allows the user to navigate the nuclides chart and explore the properties of nuclides, to various computational modules. Through this powerful interface, the user can access a wide variety of nuclear data including, e.g., radioactive decay data, cross sections, fission yields, etc. from international recognized sources.

  15. Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations

    SciTech Connect (OSTI)

    Burman, K.; Kandt, A.; Lisell, L.; Booth, S.; Walker, A.; Roberts, J.; Falcey, J.

    2011-11-01

    DOD's U.S. Pacific Command has partnered with the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) to assess opportunities for increasing energy security through renewable energy and energy efficiency in Hawaii installations. NREL selected Marine Corps Base Hawaii (MCBH), Kaneohe Bay to receive technical support for net zero energy assessment and planning funded through the Hawaii Clean Energy Initiative (HCEI). NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations.

  16. Net-Zero Campus at University of California, Davis | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Net-Zero Campus at University of California, Davis Net-Zero Campus at University of California, Davis Sunlight reflects off the metal window sun shields on the Ramble apartments at West Village at UC Davis in Davis, California. Sunlight reflects off the metal window sun shields on the Ramble apartments at West Village at UC Davis in Davis, California. Photo by Greg Urquiaga /UC Davis, NREL 20240 The new Viridian apartments at West Village at UC Davis. The new Viridian apartments at West Village

  17. Net-Zero Energy Buildings: A Classification System Based on Renewable Energy Supply Options

    SciTech Connect (OSTI)

    Pless, S.; Torcellini, P.

    2010-06-01

    A net-zero energy building (NZEB) is a residential or commercial building with greatly reduced energy needs. In such a building, efficiency gains have been made such that the balance of energy needs can be supplied with renewable energy technologies. Past work has developed a common NZEB definition system, consisting of four well-documented definitions, to improve the understanding of what net-zero energy means. For this paper, we created a classification system for NZEBs based on the renewable sources a building uses.

  18. ,"Lower 48 States Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Lower 48 States Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  19. ,"Maryland Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  20. ,"Michigan Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  1. ,"Midwest Regions Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Midwest Regions Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release

  2. ,"Mississippi Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  3. ,"Missouri Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  4. ,"Montana Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  5. ,"Mountain Regions Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mountain Regions Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release

  6. ,"Nebraska Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  7. ,"New Jersey Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  8. ,"New Mexico Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  9. ,"New Mexico Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  10. ,"New York Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  11. ,"New York Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  12. ,"Ohio Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  13. ,"Oklahoma Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  14. ,"Oregon Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  15. ,"Pacific Regions Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pacific Regions Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release

  16. ,"Pennsylvania Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  17. ,"Pennsylvania Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  18. ,"Rhode Island Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Rhode Island Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  19. ,"South Carolina Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  20. ,"South Central Regions Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Central Regions Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release

  1. ,"South Dakota Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",1998 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  2. ,"Tennessee Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","3/2006" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  3. ,"Texas Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  4. ,"Utah Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  5. ,"Washington Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  6. ,"Western Consuming Regions Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Western Consuming Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Western Consuming Regions Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","12/2014" ,"Release Date:","4/29/2016" ,"Next Release

  7. ,"Wisconsin Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  8. ,"Wyoming Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  9. Variability of Load and Net Load in Case of Large Scale Distributed Wind Power

    SciTech Connect (OSTI)

    Holttinen, H.; Kiviluoma, J.; Estanqueiro, A.; Gomez-Lazaro, E.; Rawn, B.; Dobschinski, J.; Meibom, P.; Lannoye, E.; Aigner, T.; Wan, Y. H.; Milligan, M.

    2011-01-01

    Large scale wind power production and its variability is one of the major inputs to wind integration studies. This paper analyses measured data from large scale wind power production. Comparisons of variability are made across several variables: time scale (10-60 minute ramp rates), number of wind farms, and simulated vs. modeled data. Ramp rates for Wind power production, Load (total system load) and Net load (load minus wind power production) demonstrate how wind power increases the net load variability. Wind power will also change the timing of daily ramps.

  10. ,"AGA Producing Regions Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","AGA Producing Regions Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","12/2014" ,"Release Date:","4/29/2016" ,"Next Release

  11. ,"Alabama Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  12. ,"Alabama Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  13. ,"Alaska Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  14. ,"Alaska Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  15. ,"Arkansas Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  16. ,"Arkansas Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  17. ,"California Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  18. ,"California Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  19. ,"Colorado Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  20. ,"Colorado Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  1. ,"Connecticut Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  2. ,"Delaware Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  3. ,"East Regions Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","East Regions Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016"

  4. ,"Eastern Consuming Regions Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Eastern Consuming Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Eastern Consuming Regions Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","12/2014" ,"Release Date:","4/29/2016" ,"Next Release

  5. ,"Georgia Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Georgia Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  6. ,"Idaho Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1350_sid_2a.xls"

  7. ,"Illinois Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  8. ,"Illinois Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  9. ,"Indiana Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  10. ,"Indiana Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  11. ,"Iowa Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1350_sia_2a.xls"

  12. ,"Iowa Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  13. ,"Kansas Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  14. ,"Kentucky Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  15. ,"Louisiana Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  16. ,"Louisiana Natural Gas Underground Storage Net Withdrawals (MMcf)"

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

    Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  17. Fact #838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #838: Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013

  18. Advancing Net-Zero Energy Commercial Buildings; Electricity, Resources, & Building Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-10-01

    This fact sheet provides an overview of the research the National Renewable Energy Laboratory is conducting to achieve net-zero energy buildings (NZEBs). It also includes key definitions of NZEBs and inforamtion about an NZEB database that captures information about projects around the world.

  19. Lessons Learned from Net Zero Energy Assessments and Renewable Energy Projects at Military Installations

    SciTech Connect (OSTI)

    Callahan, M.; Anderson, K.; Booth, S.; Katz, J.; Tetreault, T.

    2011-09-01

    Report highlights the increase in resources, project speed, and scale that is required to achieve the U.S. Department of Defense (DoD) energy efficiency and renewable energy goals and summarizes the net zero energy installation assessment (NZEI) process and the lessons learned from NZEI assessments and large-scale renewable energy projects implementations at DoD installations.

  20. Simulation of Net Infiltration for Present-Day and Potential Future Climates

    SciTech Connect (OSTI)

    D. Levitt

    2004-11-09

    The purpose of this model report is to document the infiltration model used to estimate upper-bound, mean, and lower-bound spatially-distributed average annual net infiltration rates for present-day and potential future climates at Yucca Mountain, Nevada. Net infiltration is the component of infiltrated precipitation, snowmelt, or surface water run-on that has percolated below the zone of evapotranspiration as defined by the depth of the effective root zone. The estimates of net infiltration are primarily used for defining the upper boundary condition for the site-scale three-dimensional unsaturated zone (UZ) model. The UZ flow model is one of several process models abstracted by the total system performance assessment (TSPA) model used to evaluate performance of the repository at Yucca Mountain, Nevada. The net-infiltration model is important for assessing repository-system performance because output from this model provides the upper boundary condition for the UZ flow model used to generate flow fields; water percolating downward from the UZ will be the principal means by which radionuclides are potentially released to the saturated zone (SZ). The SZ is the principal pathway to the biosphere where the reasonably maximally exposed individual (RMEI) is exposed to radionuclides.

  1. Energy Department Helps University of California Develop Net-Zero Campus

    Broader source: Energy.gov [DOE]

    With the help of $2.5 million in U.S. Department of Energy (DOE) funding, the University of California, Davis (UC Davis) built a net-zero community on its 130-acre West Village campus that provides housing for approximately 3,000 people in 662 apartments and 343 single-family homes.

  2. GreenCraft Builders 2009 TimberCreek Net Zero Energy House Prototype

    SciTech Connect (OSTI)

    2010-08-24

    This case study describes strategy for achieving zero net energy by lowering building consumption through a high efficiency enclosure and mechanical as much as possible and using photovoltaic installation to generate the remaining amount of energy needed to operate the building over the course of a year.

  3. Evaluation of Model Results and Measured Performance of Net-Zero Energy Homes in Hawaii: Preprint

    SciTech Connect (OSTI)

    Norton, P.; Kiatreungwattana, K.; Kelly, K. J.

    2013-03-01

    The Kaupuni community consists of 19 affordable net-zero energy homes that were built within the Waianae Valley of Oahu, Hawaii in 2011. The project was developed for the native Hawaiian community led by the Department of Hawaiian Homelands. This paper presents a comparison of the modeled and measured energy performance of the homes. Over the first year of occupancy, the community as a whole performed within 1% of the net-zero energy goals. The data show a range of performance from house to house with the majority of the homes consistently near or exceeding net-zero, while a few fall short of the predicted net-zero energy performance. The impact of building floor plan, weather, and cooling set point on this comparison is discussed. The project demonstrates the value of using building energy simulations as a tool to assist the project to achieve energy performance goals. Lessons learned from the energy performance monitoring has had immediate benefits in providing feedback to the homeowners, and will be used to influence future energy efficient designs in Hawaii and other tropical climates.

  4. untitled

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

    2014 (Thousand Barrels) Commodity PAD District 1 PAD District 2 PAD District 3 Receipts Shipments Net Receipts Receipts Shipments Net Receipts Receipts Shipments Net Receipts Crude Oil 1 ................................................................ 165,959 15,522 150,437 434,254 543,325 -109,071 354,652 342,137 12,516 Petroleum Products 2 .............................................. 1,220,157 135,404 1,195,036 448,397 233,202 -4,324 230,260 1,503,635 -1,223,511 Pentanes Plus

  5. APEX - a Petri net process modeling tool built on a discrete-event simulation system

    SciTech Connect (OSTI)

    Gish, J.W.

    1996-12-31

    APEX, the Animated Process Experimentation tool, provides a capability for defining, simulating and animating process models. Primarily constructed for the modeling and analysis of software process models, we have found that APEX is much more broadly applicable and is suitable for process modeling tasks outside the domain of software processes. APEX has been constructed as a library of simulation blocks that implement timed hierarchical colored Petri Nets. These Petri Net blocks operate in conjunction with EXTEND, a general purpose continuous and discrete-event simulation tool. EXTEND provides a flexible, powerful and extensible environment with features particularly suitable for the modeling of complex processes. APEX`s Petri Net block additions to EXTEND provide an inexpensive capability with well-defined and easily understood semantics that is a powerful, easy to use, flexible means to engage in process modeling and evaluation. The vast majority of software process research has focused on the enactment of software processes. Little has been said about the actual creation and evaluation of software process models necessary to support enactment. APEX has been built by the Software Engineering Process Technology Project at GTE Laboratories which has been focusing on this neglected area of process model definition and analysis. We have constructed high-level software lifecycle models, a set of models that demonstrate differences between four levels of the SEI Capability Maturity Model (CMM), customer care process models, as well as models involving more traditional synchronization and coordination problems such as producer-consumer and 2-phase commit. APEX offers a unique blend of technology from two different disciplines: discrete-event simulation and Petri Net modeling. Petri Nets provide a well-defined and rich semantics in a simple, easy to understand notation. The simulation framework allows for execution, animation, and measurement of the resultant models.

  6. Net Metering

    Broader source: Energy.gov [DOE]

    Note: Ongoing issues related to Minnesota's Community Solar Garden rules and program implementation are being considered in Docket No. E002/M-13-867. This entry will be updated as necessary to...

  7. Net Metering

    Broader source: Energy.gov [DOE]

    Note: On May 12, 2015 Georgia's governor signed House Bill 57 which allows residential and commercial customers to enter into third party financing deals for solar systems.

  8. Net Metering

    Broader source: Energy.gov [DOE]

    * The PSC regulates investor-owned utilities and electric cooperatives in Louisiana; it does not regulate municipal-owned utilities, and its rules thereby do not apply to municipal utilities....

  9. U.S. Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) U.S. Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's -2,581 1980's -9,651 4,687 2,488 -5,699 8,780 -3,283 6,504 -89 10,559 -13,807 1990's 13,271 169 -4,501 -6,972 -2,211 -6,549 3,770 348 3,522 2,154 2000's -14,644 9,740 707 -4,213 -834 -3,405 -4,958 14 -302 5,797 2010's -4,282 6,424 1,491 -309 505 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  10. New Hampshire Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) New Hampshire Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 0 0 0 0 0 0 1980's -22 -11 0 -84 0 0 -100 -91 -142 -213 1990's 0 0 0 0 0 0 0 0 0 0 2000's -102 -37 29 2 -1 1 -1 -2 1 9 2010's -3 4 -6 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  11. New Jersey Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) New Jersey Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 317 1,117 189 -209 1,468 253 1,916 -185 40 -1,011 1990's 1,442 461 -49 307 1,270 73 1,814 596 617 283 2000's 187 112 1,596 -2,634 -1,929 -2,534 -894 1,776 -178 494 2010's -390 613 205 193 515 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  12. Army Net Zero: Energy Roadmap and Program Summary, Fiscal Year 2013 (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2014-08-01

    The U.S. Army (Army) partnered with the National Renewable Energy Laboratory (NREL) and the U.S. Army Corps of Engineers to assess opportunities for increasing energy security through improved energy efficiency and optimized renewable energy strategies at nine installations across the Army's portfolio. Referred to as Net Zero Energy Installations (NZEIs), these projects demonstrate and validate energy efficiency and renewable energy technologies with approaches that can be replicated across DOD and other Federal agencies, setting the stage for broad market adoption. This report summarizes the results of the energy project roadmaps developed by NREL, shows the progress each installation could make in achieving Net Zero Energy by 2020, and presents lessons learned and unique challenges from each installation.

  13. Final Technical Report - Autothermal Styrene Manufacturing Process with Net Export of Energy

    SciTech Connect (OSTI)

    Trubac, Robert , E.; Lin, Feng; Ghosh, Ruma: Greene, Marvin

    2011-11-29

    The overall objectives of the project were to: (a) develop an economically competitive processing technology for styrene monomer (SM) that would reduce process energy requirements by a minimum 25% relative to those of conventional technology while achieving a minimum 10% ROI; and (b) advance the technology towards commercial readiness. This technology is referred to as OMT (Oxymethylation of Toluene). The unique energy savings feature of the OMT technology would be replacement of the conventional benzene and ethylene feedstocks with toluene, methane in natural gas and air or oxygen, the latter of which have much lower specific energy of production values. As an oxidative technology, OMT is a net energy exporter rather than a net energy consumer like the conventional ethylbenzene/styrene (EB/SM) process. OMT plants would ultimately reduce the cost of styrene monomer which in turn will decrease the costs of polystyrene making it perhaps more cost competitive with competing polymers such as polypropylene.

  14. Transformations, Inc.. Partnering To Build Net-Zero Energy Houses in Massachusetts

    SciTech Connect (OSTI)

    Ueno, K.; Bergey, D.; Wytrykowska, H.

    2013-09-01

    Transformations, Inc. is a residential development and building company that has partnered with Building Science Corporation to build new construction net-zero energy houses in Massachusetts under the Building America program. There are three communities that will be constructed through this partnership: Devens Sustainable Housing ("Devens"), The Homes at Easthampton Meadow ("Easthampton") and Phase II of the Coppersmith Way Development ("Townsend"). This report intends to cover all of the single-family new construction homes that have been completed to date. The houses built in these developments are net zero energy homes built in a cold climate. They will contribute to finding answers to specific research questions for homes with high R double stud walls and high efficiency ductless air source heat pump systems ("mini-splits"); allow to explore topics related to the financing of photovoltaic systems and basements vs. slab-on-grade construction; and provide feedback related to the performance of ductless mini-split air source heat pumps.

  15. BEopt: Software for Identifying Optimal Building Designs on the Path to Zero Net Energy; Preprint

    SciTech Connect (OSTI)

    Christensen, C.; Horowitz, S.; Givler, T.; Courtney, A.; Barker, G.

    2005-04-01

    A zero net energy (ZNE) building produces as much energy on-site as it uses on an annual basis--using a grid-tied, net-metered photovoltaic (PV) system and active solar. The optimal path to ZNE extends from a base case to the ZNE building through a series of energy-saving building designs with minimal energy-related owning and operating costs. BEopt is a computer program designed to find optimal building designs along the path to ZNE. A user selects from among predefined options in various categories to specify options to be considered in the optimization. Energy savings are calculated relative to a reference. The reference can be either a user-defined base-case building or a climate-specific Building America Benchmark building automatically generated by BEopt. The user can also review and modify detailed information on all available options and the Building America Benchmark in a linked options library spreadsheet.

  16. Modeling and performance evaluation of flexible manufacturing systems using Petri nets

    SciTech Connect (OSTI)

    Callotta, M.P.; Cimenez, C.; Tazza, M.

    1996-12-31

    A timed Petri net approach is used to model resource allocation-utilization-release patterns for performance evaluation. First, simple resource utilization sequences are derived from a directed graph representing the process plan of parts. Second, the place-transitions sequences are connected introducing places whose marking models the resources needed to perform the manufacturing operation indicated in the process plan. Time is introduced as a permanence time of tokens at the place-transition sequence, modeling the utilization time of resources. The corresponding model leads to a simultaneous resource possession problem. Finally, flow equations for the description of the quantitative behavior of the resulting timed Petri net are presented. A major conclusion of the paper is that performance evaluation can be adequately abstracted and analytically solved, in a simple way, even in presence of complicating factors like resource sharing and routing flexibility in process plans.

  17. DOE FACT SHEET: Net Zero Performance Analysis and Passive Survivability at

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    FACT SHEET: Net Zero Performance Analysis and Passive Survivability at Seattle's New North Precinct Police Station Overview The City of Seattle was recognized as a Climate Action Champion (CAC) by The White House and the Department of Energy (DOE) in December 2014. In 2015, DOE released a Notice of Technical Assistance (NOTA) to provide CACs with additional opportunities for financial and technical assistance to support and advance their greenhouse gas emissions reduction and climate resilience

  18. Net-shape fabrication of Y-TZP ceramic through a statistically designed experiment

    SciTech Connect (OSTI)

    Ghosh, S.K.; Chatterjee, D.K.; Koziol, D.R.; Majumdar, D.

    1993-11-01

    Net-shape yttria-doped tetragonal zirconia polycrystal (Y-TZP) ceramic articles of various shapes and dimensions were fabricated using 15 000 psi uniaxial pressure and 1500 C sintering temperature. A statistically designed experiment was conducted to determine the parameters for uniaxial pressure as well as sintering temperature so that shrinkage and dimensions of the sintered parts could be controlled. Shrinkage rate, density, and dimensional tolerance of the articles were greatly influenced by the compacting pressure and the sintering temperature.

  19. Net-Zero Energy Buildings: A Classification System Based on Renewable Energy Supply Options

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Net Imports by Country Product: Total Crude Oil and Products Crude Oil Products Pentanes Plus Liquefied Petroleum Gases Unfinished Oils Finished Motor Gasoline Reformulated Conventional Motor Gasoline Blending Components Reformulated Gasoline Blend. Comp. Conventional Gasoline Blend. Comp. MTBE (Oxygenate) Other Oxygenates Fuel Ethanol (Renewable) Biomass-Based Diesel Other Renewable Diesel Other Renewable Fuels Distillate Fuel Oil Distillate F.O., 15 ppm and under Distillate F.O., 15 to 500 ppm

  20. Advanced Building Technologies: Toward a New Generation of Net-Zero Energy, Carbon-Neutral Buildings

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Meeting, Berkeley CA August 14, 2007 Advanced Building Technologies Toward a New Generation of Net-Zero Energy, Carbon-Neutral Buildings Stephen Selkowitz Department Head, Building Technologies Department Lawrence Berkeley National Laboratory seselkowitz@lbl.gov 510/486-5064 Lawrence Berkeley National Laboratory Building Energy Demand Challenge: End Use Energy Consumption Buildings consume 39% of total U.S. energy * 71% of electricity and 54% of natural gas Lawrence Berkeley National Laboratory

  1. Decision Support for Water Planning: the ZeroNet Water-Energy Initiative.

    SciTech Connect (OSTI)

    Rich, P. M.; Weintraub, Laura H. Z.; Ewers, Mary E.; Riggs, T. L.; Wilson, C. J.

    2005-01-01

    Rapid population growth and severe drought are impacting water availability for all sectors (agriculture, energy, municipal, industry...), particularly in arid regions. New generation decision support tools, incorporating recent advances in informatics and geographic information systems (GIS), are essential for responsible water planning at the basin scale. The ZeroNet water-energy initiative is developing a decision support system (DSS) for the San Juan River Basin, with a focus on drought planning and economic analysis. The ZeroNet DSS provides a computing environment (cyberinfrastructure) with three major components: Watershed Tools, a Quick Scenario Tool, and a Knowledge Base. The Watershed Tools, based in the Watershed Analysis Risk Management Framework (WARMF), provides capabilities (1) to model surface flows, both the natural and controlled, as well as water withdrawals, via an engineering module, and (2) to analyze and visualize results via a stakeholder module. A new ZeroNet module for WARMF enables iterative modeling and production of 'what if' scenario libraries to examine consequences of changes in climate, landuse, and water allocation. The Quick Scenario Tool uses system dynamics modeling for rapid analysis and visualization for a variety of uses, including drought planning, economic analysis, evaluation of management alternatives, and risk assessment. The Knowledge Base serves simultaneously as the 'faithful scribe' to organize and archive data in easily accessible digital libraries, and as the 'universal translator' to share data from diverse sources and for diverse uses. All of the decision tools depend upon GIS capabilities for data/model integration, map-based analysis, and advanced visualization. The ZeroNet DSS offers stakeholders an effective means to address complex water problems.

  2. Main Street Net-Zero Energy Buildings: The Zero Energy Method in Concept and Practice

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    870 July 2010 Main Street Net-Zero Energy Buildings: The Zero Energy Method in Concept and Practice Preprint Paul Torcellini, Shanti Pless, and Chad Lobato National Renewable Energy Laboratory Tom Hootman RNL Design Presented at the ASME 2010 4 th International Conference on Energy Sustainability Phoenix, Arizona May 17-22, 2010 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (ASE), a contractor of the US Government under Contract No.

  3. The Economic Value of PV and Net Metering to Residential Customers in California

    SciTech Connect (OSTI)

    Darghouth, Naim; Barbose, Galen; Wiser, Ryan

    2010-05-17

    In this paper, we analyze the bill savings from PV for residential customers of the California's two largest electric utilities, under existing net metering tariffs as well as under several alternative compensation mechanisms. We find that economic value of PV to the customer is dependent on the structure of the underlying retail electricity rate and can vary quite significantly from one customer to another. In addition, we find that the value of the bill savings from PV generally declines with PV penetration level, as increased PV generation tends to offset lower-priced usage. Customers in our sample from both utilities are significantly better off with net metering than with a feed-in tariff where all PV generation is compensated at long-run avoided generation supply costs. Other compensation schemeswhich allow customers to displace their consumption with PV generation within each hour or each month, and are also based on the avoided costs, yield similar value to the customer as net metering.

  4. Word Pro - Untitled1

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Noted) Year Foreign Crude Oil Receipts Domestic Crude Oil Receipts Withdrawals End-of-Year Stocks Days of Petroleum Net Imports 4 Imported by SPR Imported by Others 1,2 Purchases ...

  5. Fact #838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013

    Broader source: Energy.gov [DOE]

    When compared to total U.S. consumption of petroleum, net imports were only 33% in 2013. The share of imported petroleum reached a peak of 60% in 2005, from a low of 27% in 1985. Since 2005, the...

  6. University of California Davis West Village: The Largest Planned Net Zero Energy Community in the United States

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Community Renewable Energy (CommRE) success stories UC Davis net zero energy community; energy efficiency in buildings; PV and photovoltaics.

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

    SciTech Connect (OSTI)

    Darghouth, Naim; Barbose, Galen; Wiser, Ryan

    2010-03-30

    Net metering has become a widespread policy in the U.S. for supporting distributed photovoltaics (PV) adoption. Though specific design details vary, net metering allows customers with PV to reduce their electric bills by offsetting their consumption with PV generation, independent of the timing of the generation relative to consumption - in effect, compensating the PV generation at retail electricity rates (Rose et al. 2009). While net metering has played an important role in jump-starting the residential PV market in the U.S., challenges to net metering policies have emerged in a number of states and contexts, and alternative compensation methods are under consideration. Moreover, one inherent feature of net metering is that the value of the utility bill savings it provides to customers with PV depends heavily on the structure of the underlying retail electricity rate, as well as on the characteristics of the customer and PV system. Consequently, the value of net metering - and the impact of moving to alternative compensation mechanisms - can vary substantially from one customer to the next. For these reasons, it is important for policymakers and others that seek to support the development of distributed PV to understand both how the bill savings varies under net metering, and how the bill savings under net metering compares to other possible compensation mechanisms. To advance this understanding, we analyze the bill savings from PV for residential customers of California's two largest electric utilities, Pacific Gas and Electric (PG&E) and Southern California Edison (SCE). The analysis is based on hourly load data from a sample of 215 residential customers located in the service territories of the two utilities, matched with simulated hourly PV production for the same time period based on data from the nearest of 73 weather stations in the state.

  8. North America's net terrestrial carbon exchange with the atmosphere 1990-2009

    SciTech Connect (OSTI)

    King, Anthony W.; Andres, Robert; Davis, Kenneth J.; Hafer, M.; Hayes, Daniel J.; Huntzinger, Deborah N.; de Jong, Bernardus; Kurz, Werner; McGuire, A. David; Vargas, Rodrigo; Wei, Yaxing; West, Tristram O.; Woodall, Chris W.

    2015-01-01

    Scientific understanding of the global carbon cycle is required for developing national and international policy to mitigate fossil-fuel CO2 emissions by managing terrestrial carbon uptake. Toward that understanding and as a contribution to the REgional Carbon Cycle Assessment and Processes (RECCAP) project, this paper provides a synthesis of net land-atmosphere CO2 exchange for North America over the period (1990-2009). This synthesis is based on results from three different methods: atmospheric inversion, inventory-based methods and terrestrial biosphere modeling. All methods indicate that the North America land surface was a sink for atmospheric CO2, with a net transfer from atmosphere to land. Estimates ranged from -890 to -280 Tg C yr-1, where the atmospheric inversion estimate forms the lower bound of that range (a larger land-sink) and the inventory-based estimate the upper (a smaller land sink). Integrating across estimates, a best estimates (i.e., measures of central tendency) are -472 281 Tg C yr-1 based on the mean and standard deviation of the distribution and -360 Tg C yr-1 (with an interquartile range of -496 to -337) based on the median. Considering both the fossil-fuel emissions source and the land sink, our analysis shows that North America was, however, a net contributor to the growth of CO2 in the atmosphere in the late 20th and early 21st century. The continents CO2 source to sink ratio for this time period was likely in the range of 4:1 to 3:1.

  9. Simulation of gross and net erosion of high-Z materials in the DIII-D divertor

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wampler, William R.; Ding, R.; Stangeby, P. C.; Elder, J. D.; Tskhakaya, D.; Kirschner, A.; Guo, H. Y.; Chan, V. S.; McLean, A. G.; Snyder, P. B.; et al

    2015-12-17

    The three-dimensional Monte Carlo code ERO has been used to simulate dedicated DIII-D experiments in which Mo and W samples with different sizes were exposed to controlled and well-diagnosed divertor plasma conditions to measure the gross and net erosion rates. Experimentally, the net erosion rate is significantly reduced due to the high local redeposition probability of eroded high-Z materials, which according to the modelling is mainly controlled by the electric field and plasma density within the Chodura sheath. Similar redeposition ratios were obtained from ERO modelling with three different sheath models for small angles between the magnetic field and themore » material surface, mainly because of their similar mean ionization lengths. The modelled redeposition ratios are close to the measured value. Decreasing the potential drop across the sheath can suppress both gross and net erosion because sputtering yield is decreased due to lower incident energy while the redeposition ratio is not reduced owing to the higher electron density in the Chodura sheath. Taking into account material mixing in the ERO surface model, the net erosion rate of high-Z materials is shown to be strongly dependent on the carbon impurity concentration in the background plasma; higher carbon concentration can suppress net erosion. As a result, the principal experimental results such as net erosion rate and profile and redeposition ratio are well reproduced by the ERO simulations.« less

  10. NetMOD version 1.0 user%3CU%2B2019%3Es manual.

    SciTech Connect (OSTI)

    Merchant, Bion John

    2014-01-01

    NetMOD (Network Monitoring for Optimal Detection) is a Java-based software package for conducting simulation of seismic networks. Specifically, NetMOD simulates the detection capabilities of seismic monitoring networks. Network simulations have long been used to study network resilience to station outages and to determine where additional stations are needed to reduce monitoring thresholds. NetMOD makes use of geophysical models to determine the source characteristics, signal attenuation along the path between the source and station, and the performance and noise properties of the station. These geophysical models are combined to simulate the relative amplitudes of signal and noise that are observed at each of the stations. From these signal-to-noise ratios (SNR), the probability of detection can be computed given a detection threshold. This manual describes how to configure and operate NetMOD to perform seismic detection simulations. In addition, NetMOD is distributed with a simulation dataset for the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) International Monitoring System (IMS) seismic network for the purpose of demonstrating NetMOD's capabilities and providing user training. The tutorial sections of this manual use this dataset when describing how to perform the steps involved when running a simulation.

  11. Table 5. Greenhouse gases and 100-year net global warming potentials

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

    Greenhouse gases and 100-year net global warming potentials" "Greenhouse Gas Name","Formula","GWP" ,,"SAR1","TAR2","AR43" "(1) Carbon Dioxide","CO2",1,1,1 "(2) Methane","CH4",21,23,25 "(3) Nitrous Oxide","N2O",310,296,298 "(4) Hydroflourocarbons" "HFC-23 (trifluoromethane)","CHF3",11700,12000,14800 "HFC-32

  12. An assessment of the net value of CSP systems integrated with thermal energy storage

    SciTech Connect (OSTI)

    Mehos, M.; Jorgenson, J.; Denholm, P.; Turchi, C.

    2015-05-01

    Within this study, we evaluate the operational and capacity valueor total system valuefor multiple concentrating solar power (CSP) plant configurations under an assumed 33% renewable penetration scenario in California. We calculate the first-year bid price for two CSP plants, including a 2013 molten-salt tower integrated with a conventional Rankine cycle and a hypothetical 2020 molten-salt tower system integrated with an advanced supercritical carbon-dioxide power block. The overall benefit to the regional grid, defined in this study as the net value, is calculated by subtracting the first-year bid price from the total system value.

  13. Worldwide estimates and bibliography of net primary productivity derived from pre-1982 publications

    SciTech Connect (OSTI)

    Esser, G.; Lieth, H.F.H.; Scurlock, J.M.O.; Olson, R.J.

    1997-10-01

    An extensive compilation of more than 700 field estimates of net primary productivity of natural and agricultural ecosystems worldwide was synthesized in Germany in the 1970s and early 1980s. Although the Osnabrueck data set has not been updated since the 1980s, it represents a wealth of information for use in model development and validation. This report documents the development of this data set, its contents, and its recent availability on the Internet from the Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. Caution is advised in using these data, which necessarily include assumptions and conversions that may not be universally applicable to all sites.

  14. An assessment of the net value of CSP systems integrated with thermal energy storage

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Mehos, M.; Jorgenson, J.; Denholm, P.; Turchi, C.

    2015-05-01

    Within this study, we evaluate the operational and capacity value—or total system value—for multiple concentrating solar power (CSP) plant configurations under an assumed 33% renewable penetration scenario in California. We calculate the first-year bid price for two CSP plants, including a 2013 molten-salt tower integrated with a conventional Rankine cycle and a hypothetical 2020 molten-salt tower system integrated with an advanced supercritical carbon-dioxide power block. The overall benefit to the regional grid, defined in this study as the net value, is calculated by subtracting the first-year bid price from the total system value.

  15. United States Renewable Electric Power Industry Net Generation, by Energy Source

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

    Renewable Electric Power Industry Net Generation, by Energy Source, 2006 - 2010" "(Thousand Megawatthours)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Geothermal",14568,14637,14840,15009,15219 "Hydro Conventional",289246,247510,254831,273445,260203 "Solar",508,612,864,891,1212 "Wind",26589,34450,55363,73886,94652 "Wood/Wood Waste",38762,39014,37300,36050,37172 "MSW Biogenic/Landfill

  16. United States Renewable Electric Power Industry Net Summer Capacity, by Energy Source

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

    Renewable Electric Power Industry Net Summer Capacity, by Energy Source, 2006 - 2010" "(Megawatts)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Geothermal",2274,2214,2229,2382,2405 "Hydro Conventional",77821,77885,77930,78518,78825 "Solar",411,502,536,619,941 "Wind",11329,16515,24651,34296,39135 "Wood/Wood Waste",6372,6704,6864,6939,7037 "MSW/Landfill Gas",3166,3536,3644,3645,3690

  17. United States Total Electric Power Industry Net Generation, by Energy Source

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

    Total Electric Power Industry Net Generation, by Energy Source, 2006 - 2010" "(Thousand Megawatthours)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Fossil",2885295,2992238,2926731,2726452,2883361 " Coal",1990511,2016456,1985801,1755904,1847290 " Petroleum",64166,65739,46243,38937,37061 " Natural Gas",816441,896590,882981,920979,987697 " Other Gases",14177,13453,11707,10632,11313

  18. United States Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Total Electric Power Industry Net Summer Capacity, by Energy Source, 2006 - 2010" "(Megawatts)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Fossil",761603,763994,770221,774279,782176 " Coal",312956,312738,313322,314294,316800 " Petroleum",58097,56068,57445,56781,55647 " Natural Gas",388294,392876,397460,401272,407028 " Other Gases",2256,2313,1995,1932,2700

  19. Laser Engineered Net Shaping (LENS(TM)): A Tool for Direct Fabrication of Metal Parts

    SciTech Connect (OSTI)

    Atwood, C.; Ensz, M.; Greene, D.; Griffith, M.; Harwell, L.; Reckaway, D.; Romero, T.; Schlienger, E.; Smugeresky, J.

    1998-11-05

    For many years, Sandia National Laboratories has been involved in the development and application of rapid prototyping and dmect fabrication technologies to build prototype parts and patterns for investment casting. Sandia is currently developing a process called Laser Engineered Net Shaping (LENS~) to fabricate filly dense metal parts dwectly from computer-aided design (CAD) solid models. The process is similar to traditional laser-initiated rapid prototyping technologies such as stereolithography and selective laser sintering in that layer additive techniques are used to fabricate physical parts directly from CAD data. By using the coordinated delivery of metal particles into a focused laser beam apart is generated. The laser beam creates a molten pool of metal on a substrate into which powder is injected. Concurrently, the substrate on which the deposition is occurring is moved under the beam/powder interaction zone to fabricate the desired cross-sectiwal geometry. Consecutive layers are additively deposited, thereby producing a three-dmensional part. This process exhibits enormous potential to revolutionize the way in which metal parts, such as complex prototypes, tooling, and small-lot production parts, are produced. The result is a comple~ filly dense, near-net-shape part. Parts have been fabricated from 316 stainless steel, nickel-based alloys, H13 tool steel, and titanium. This talk will provide a general overview of the LENS~ process, discuss potential applications, and display as-processed examples of parts.

  20. Estimated net value and uncertainty for automating ECCS switchover at PWRs

    SciTech Connect (OSTI)

    Walsh, B.; Brideau, J.; Comes, L.; Darby, J.; Guttmann, H.; Sciacca, F.; Souto, F.; Thomas, W.; Zigler, G.

    1996-02-01

    Question for resolution of Generic Safety Issue No. 24 is whether or not PWRs that currently rely on a manual system for ECCS switchover to recirculation should be required to install an automatic system. Risk estimates are obtained by reevaluating the contributions to core damage frequencies (CDFs) associated with failures of manual and semiautomatic switchover at a representative PWR. This study considers each separate instruction of the corresponding emergency operating procedures (EOPs), the mechanism for each control, and the relation of each control to its neighbors. Important contributions to CDF include human errors that result in completely coupled failure of both trains and failure to enter the required EOP. It is found that changeover to a semiautomatic system is not justified on the basis of cost-benefit analysis: going from a manual to a semiautomatic system reduces the CDF by 1.7 {times} 10{sup {minus}5} per reactor-year, but the probability that the net cost of the modification being less than $1, 000 per person-rem is about 20% without license renewal. Scoping analyses, using optimist assumptions, were performed for a changeover to a semiautomatic system with automatic actuation and to a fully automatic system; in these cases the probability of a net cost being less than $1,000/person-rem is about 50% without license renewal and over 95% with license renewal.