National Library of Energy BETA

Sample records for onsiteh codea subsector

  1. Electricity Subsector Cybersecurity Capability Maturity Model...

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

    Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Electricity Subsector Cybersecurity...

  2. DOE Releases Electricity Subsector Cybersecurity Risk Management...

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

    Releases Electricity Subsector Cybersecurity Risk Management Process (RMP) Guideline DOE Releases Electricity Subsector Cybersecurity Risk Management Process (RMP) Guideline May...

  3. Electricity Subsector Cybersecurity Capability Maturity Model...

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

    Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) The...

  4. Electricity Subsector Cybersecurity Capability Maturity Model...

    Office of Environmental Management (EM)

    Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) The Electricity...

  5. Notice of Publication of Electricity Subsector Cybersecurity...

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

    publication, by the Department of Energy (DOE) of the Electricity Subsector Cybersecurity Risk Management Process guideline. The guideline describes a risk management process that...

  6. Electricity Subsector Cybersecurity Capability Maturity Model...

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

    The Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Version 1.1, which allows electric utilities and grid operators to assess their cybersecurity...

  7. Oil and Natural Gas Subsector Cybersecurity Capability Maturity...

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

    Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (February 2014) Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (February 2014) The Oil...

  8. Integrating Electricity Subsector Failure Scenarios into a Risk...

    Energy Savers [EERE]

    Integrating Electricity Subsector Failure Scenarios into a Risk Assessment Methodology (December 2013) Integrating Electricity Subsector Failure Scenarios into a Risk Assessment...

  9. Oil and Natural Gas Subsector Cybersecurity Capability Maturity...

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

    Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (ONG-C2M2) is a derivative of the Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2)...

  10. Oil and Natural Gas Subsector Cybersecurity Capability Maturity...

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

    Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (ONG-C2M2) The Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (ONG-C2M2) was...

  11. AN ASSESSMENT OF DATA ON OUTPUT INDUSTRIAL SUB-SECTORS

    E-Print Network [OSTI]

    of that sub-sector. This typically includes the "resource" sub-sectors (chemicals, metals, pulp and paper of industry was considered a "sector" of the overall group known as Industry. Thus we spoke of the pulp and paper sector or the petroleum refining sector within industry. Because of increasing references

  12. China's Industrial Carbon Dioxide Emissions in Manufacturing Subsectors and in Selected Provinces

    E-Print Network [OSTI]

    Lu, Hongyou

    2013-01-01

    resources for national energy consumption data in China aredoes have energy consumption data for each subsector;production data. Energy consumption data are only reported

  13. Comparison Study of Energy Intensity in the Textile Industry: A Case Study in Five Textile Sub-sectors 

    E-Print Network [OSTI]

    Hasanbeigi, A.; Hasanabadi, A.; Abdorrazaghi, M.

    2011-01-01

    This paper contributes to the understanding of energy use in the textile industry by comparing the energy intensity of textile plants in five major sub-sectors, i.e. spinning, weaving, wet-processing, worsted fabric manufacturing, and carpet...

  14. Current and future industrial energy service characterizations. Volume III. Energy data on 15 selected states' manufacturing subsector

    SciTech Connect (OSTI)

    Krawiec, F.; Thomas, T.; Jackson, F.; Limaye, D.R.; Isser, S.; Karnofsky, K.; Davis, T.D.

    1980-11-01

    An examination is made of the current and future energy demands, and uses, and cost to characterize typical applications and resulting services in the US and industrial sectors of 15 selected states. Volume III presents tables containing data on selected states' manufacturing subsector energy consumption, functional uses, and cost in 1974 and 1976. Alabama, California, Illinois, Indiana, Louisiana, Michigan, Missouri, New Jersey, New York, Ohio, Oregon, Pennsylvania, Texas, West Virginia, and Wisconsin were chosen as having the greatest potential for replacing conventional fuel with solar energy. Basic data on the quantities, cost, and types of fuel and electric energy purchased by industr for heat and power were obtained from the 1974 and 1976 Annual Survey of Manufacturers. The specific indutrial energy servic cracteristics developed for each selected state include. 1974 and 1976 manufacturing subsector fuels and electricity consumption by 2-, 3-, and 4-digit SIC and primary fuel (quantity and relative share); 1974 and 1976 manufacturing subsector fuel consumption by 2-, 3-, and 4-digit SIC and primary fuel (quantity and relative share); 1974 and 1976 manufacturing subsector average cost of purchsed fuels and electricity per million Btu by 2-, 3-, and 4-digit SIC and primary fuel (in 1976 dollars); 1974 and 1976 manufacturing subsector fuels and electric energy intensity by 2-, 3-, and 4-digit SIC and primary fuel (in 1976 dollars); manufacturing subsector average annual growth rates of (1) fuels and electricity consumption, (2) fuels and electric energy intensity, and (3) average cost of purchased fuels and electricity (1974 to 1976). Data are compiled on purchased fuels, distillate fuel oil, residual ful oil, coal, coal, and breeze, and natural gas. (MCW)

  15. Integrating Electricity Subsector

    Office of Environmental Management (EM)

    hackers. To be effective, mitigation strategies must take into account the motivation, tactics, and capabilities of those threat agents that may cause cyber security...

  16. Integrating Electricity Subsector

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICE INDUSTRIAL TECHNICAL8-02Department of Energy SystemsDrive

  17. ELECTRICITY SUBSECTOR CYBERSECURITY RISK MANAGEMENT PROCESS

    Energy Savers [EERE]

    Crist Lincoln Electric System Rick Dakin Coalfire Systems Dave Dalva Smart Grid Interoperability Panel Cyber Security Working Group Cameron Doherty Southern California Edison...

  18. DOE Releases Electricity Subsector Cybersecurity Risk Management...

    Office of Environmental Management (EM)

    strategic goals and objectives, including reliability, resiliency, security, and safety. DOE has a long history of working closely and steadily with Federal partners, including...

  19. Electricity Subsector Cybersecurity Capability Maturity Model...

    Energy Savers [EERE]

    an evaluation tool, and DOE facilitated self-evaluations. The ES-C2M2 provides a mechanism that helps organizations evaluate, prioritize, and improve cybersecurity...

  20. ELECTRICITY SUBSECTOR CYBERSECURITY RISK MANAGEMENT PROCESS

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based|DepartmentStatement |toDepartment ofDepartment of2:Kenedy,N V I R

  1. Integrating Electricity Subsector Failure Scenarios into a Risk...

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

    ways than in the past: two-way communications, dynamic optimization, and wired and wireless communications. Cybersecurity is important because the bi-directional flow of...

  2. Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1.

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPL EnergyPlus,DepartmentFederal Register Noticeof America

  3. Notice of Publication of Electricity Subsector Cybersecurity Risk

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOEDepartmentNew JerseyEnergy TheManagement Process: Federal

  4. Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -DepartmentAvailableHighOffice ofProject |(February 2014) | Department

  5. Integrating Electricity Subsector Failure Scenarios into a Risk Assessment

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergy HeadquartersFuelBConservationEnergy5975-01 REPORTDepartmentMethodology (December

  6. Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1.

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansas Nuclear ProfileMultiferroic 2015Program Electricity

  7. DOE Releases Electricity Subsector Cybersecurity Risk Management Process

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment ofOffice of Headquarters AccountingDOE Organization(RMP) Guideline |

  8. Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof EnergyApril 2014DepartmentCouncilOffice of the ChiefResearch

  9. China's Industrial Carbon Dioxide Emissions in Manufacturing Subsectors and in Selected Provinces

    E-Print Network [OSTI]

    Lu, Hongyou

    2013-01-01

    by the Institute for Industrial Productivity through theL ABORATORY China’s Industrial Carbon Dioxide Emissions inproceedings, ECEEE Industrial Summer Study, Arnhem, the

  10. China's Industrial Carbon Dioxide Emissions in Manufacturing Subsectors and in Selected Provinces

    E-Print Network [OSTI]

    Lu, Hongyou

    2013-01-01

    U.S. Energy-Related Carbon Dioxide Emissions, 2010. ” AugustChina’s Industrial Carbon Dioxide Emissions in ManufacturingChina’s Industrial Carbon Dioxide Emissions in Manufacturing

  11. Investment performance of life-science venture capital investment funds, persistence, and subsector analysis

    E-Print Network [OSTI]

    Behrens, Jeffrey S

    2007-01-01

    Venture capital investment performance data and performance attribution are not typically published. Venture investors articulate (and sell to LPs) conflicting strategies; the popular business literature and culture is ...

  12. China's Industrial Carbon Dioxide Emissions in Manufacturing Subsectors and in Selected Provinces

    E-Print Network [OSTI]

    Lu, Hongyou

    2013-01-01

    Fuel Ferrous Metals Chemical Raw Material and Chemical Products Non-metallicFuel Chemical Raw Material and Chemical Products Medicines Chemical Fiber Rubber Plastic Non-metallicFuel Chemical Raw Material and Chemical Products Metal Products Non-ferrous Metals Ferrous Metals Non-metallic

  13. China's Industrial Carbon Dioxide Emissions in Manufacturing Subsectors and in Selected Provinces

    E-Print Network [OSTI]

    Lu, Hongyou

    2013-01-01

    and industries. Provincial energy data are drawn from thethe provinces provide energy data at the manufacturing sub-2 emissions. As no energy data are available from Jiangsu,

  14. China's Industrial Carbon Dioxide Emissions in Manufacturing Subsectors and in Selected Provinces

    E-Print Network [OSTI]

    Lu, Hongyou

    2013-01-01

    Values by Fuel Fuel Type Raw Coal Cleaned Coal Washed CoalType Carbon Coefficient CO 2 Coefficient (t C/TJ) (t CO 2 /TJ) Coal

  15. China's Industrial Carbon Dioxide Emissions in Manufacturing Subsectors and in Selected Provinces

    E-Print Network [OSTI]

    Lu, Hongyou

    2013-01-01

    values for fuels, such as crude oil and raw coal, and theseGas Other Coking Products Crude Oil Gasoline Kerosene DieselGas Other Coking Products Crude Oil Gasoline Kerosene Diesel

  16. China's Industrial Carbon Dioxide Emissions in Manufacturing Subsectors and in Selected Provinces

    E-Print Network [OSTI]

    Lu, Hongyou

    2013-01-01

    Coal Washed Coal Coke Coke Oven Gas Other Gas Other CokingTJ) Coal Coke Coke Oven Gas Other Gas Other Coking Products

  17. China's Industrial Carbon Dioxide Emissions in Manufacturing Subsectors and in Selected Provinces

    E-Print Network [OSTI]

    Lu, Hongyou

    2013-01-01

    for some fuels, such as coke oven gas and other gas, NBSCoal Washed Coal Coke Coke Oven Gas Other Gas Other Cokingt CO 2 /TJ) Coal Coke Coke Oven Gas Other Gas Other Coking

  18. OIL AND NATURAL GAS SUBSECTOR CYBERSECURITY CAPABILITY MATURITY MODEL (ONG-C2M2)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOEDepartmentNew2008Group, Inc. Order(National4,< Back1D O O E

  19. ELECTRICITY SUBSECTOR CYBERSECURITY CAPABILITY MATURITY MODEL (ES-C2M2)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based|DepartmentStatement |toDepartment ofDepartment of2:Kenedy,N V I R O

  20. Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansas Nuclear ProfileMultiferroic 2015Program Electricity PolicyDepartment

  1. Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:IAboutReubenPressElectrical Safety-

  2. Natural resource booms and Third World development: Assessing the subsectoral impacts of the Nigerian petroleum boom on agricultural export performance

    SciTech Connect (OSTI)

    Banks, S.M.

    1991-01-01

    Linear and quadratic expansion model formulations are developed to assess the relative complexity of booming-non-booming sector interactions. Specific attention is given to the extent to which the growth rates of Nigerian agricultural exports have changed over time as: (a) the volume of oil exports, and (b) the growth rate of oil exports are allowed to vary over a set of hypothetical values which reflect Nigerian oil-boom realities. Four important conclusions emerge: (a) the quadratic expansion model most accurately captures Nigerian oil-agricultural exports are most clearly influenced by the oil boom; (c) the growth rate of capital-intensive agricultural exports are initially stimulated, and later stagnated by the oil boom, while the growth rate of subsidized labor intensive agricultural exports are first stagnated and then stimulated by the oil boom; and (d) the expansion method provides a useful alternative means of exploring theoretical and applied issues related to the Dutch Disease paradigm. the implications of the findings for agricultural and petroleum policy in Nigeria are assessed, and a research agenda for further booming-non-booming sector investigations is proposed.

  3. On the singlet projector and the monodromy relation for psu(2, 2|4) spin chains and reduction to subsectors

    E-Print Network [OSTI]

    Kazama, Yoichi; Nishimura, Takuya

    2015-01-01

    As a step toward uncovering the relation between the weak and the strong coupling regimes of the $\\mathcal{N}=4$ super Yang-Mills theory beyond the specral level, we have developed in a previous paper [arXiv:1410.8533] a novel group theoretic interpretation of the Wick contraction of the fields, which allowed us to compute a much more general class of three-point functions in the SU(2) sector, as in the case of strong coupling [arXiv:1312.3727], directly in terms of the determinant representation of the partial domain wall partition funciton. Furthermore, we derived a non-trivial identity for the three point functions with monodromy operators inserted, being the discrete counterpart of the global monodromy condition which played such a crucial role in the computation at strong coupling. In this companion paper, we shall extend our study to the entire ${\\rm psu}(2,2|4)$ sector and obtain several important generalizations. They include in particular (i) the manifestly conformally covariant construction, from th...

  4. NEUTRON PRODUCTION BY NEUTRAL BEAM SOURCES

    E-Print Network [OSTI]

    Berkner, K.H.

    2010-01-01

    HORSE Code—A Hultigroup Neutron and Gamma-Say Honte CarloR. Smith, "A Tantalus Fast Neutron Integrator," UCRL-17051.FiS- 9 Neutron dose during 3 months of typical TSUI

  5. Energy Department Releases Guidance for Implementation of Cybersecurit...

    Energy Savers [EERE]

    sector stakeholders through the Electricity Subsector Coordinating Council and the Oil & Natural Gas Subsector Coordinating Council. We also coordinated with other Sector...

  6. Draft Energy Sector Cybersecurity Framework Implementation Guidance...

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

    stakeholders through the Electricity Subsector Coordinating Council (ESCC) and the Oil & Natural Gas Subsector Coordinating Council (ONG SCC) forums for the development of...

  7. Energy Sector Cybersecurity Framework Implementation Guidance...

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

    stakeholders through the Electricity Subsector Coordinating Council (ESCC) and the Oil & Natural Gas Subsector Coordinating Council (ONG SCC) forums for the development of...

  8. ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.1

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01

    Housekeeping, New Plant Construction, Waste Heat Recovery,Construction were arrayed against subsector characteristics for the steel and chemical subsectors; attributes associated with Waste

  9. Identifying Options for Deep Reductions in Greenhouse Gas Emissions from California Transportation: Meeting an 80% Reduction Goal in 2050

    E-Print Network [OSTI]

    Yang, Christopher; McCollum, David L; McCarthy, Ryan; Leighty, Wayne

    2008-01-01

    shift, as demand growth and technology adoption will not betransportation activity growth and technology improvementsgrowth within each subsector, but emphases on different fuels and technologies

  10. Industrial Sector Energy Conservation Programs in the People's Republic of China during the Seventh Five-Year Plan (1986-1990)

    E-Print Network [OSTI]

    Zhiping, L.

    2010-01-01

    of Energy Conservation Industrial Energy ConservationIntensity of Selected Industrial Products, 1981-1990 EnergyConservation Projects by Industrial Subsector, 7th FYP Unit

  11. Private Sector Outreach and Partnerships | Department of Energy

    Office of Environmental Management (EM)

    the sector, including electricity, oil, and natural gas. Specific mission areas, such as risk and system analysis, modeling and visualization across subsectors, and incident...

  12. Cybersecurity Risk Management Process (RMP) Guideline - Final...

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

    Cybersecurity Risk Management Process (RMP) Guideline - Final (May 2012) Cybersecurity Risk Management Process (RMP) Guideline - Final (May 2012) This electricity subsector...

  13. Energy Efficiency Improvement and Cost Saving Opportunities for the Dairy Processing Industry

    E-Print Network [OSTI]

    Brush, Adrian

    2012-01-01

    cont. ). Fuel expenditures (2008) Fluid milk manufacturingdesserts Total Site fuel use (2008) Fluid milk manufacturingfuel by subsector Year Ice Cream and Frozen Desserts Fluid

  14. 2014 Manufacturing Energy and Carbon Footprints: Scope

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

    Industries in the Paper Manufacturing subsector make pulp, paper, or converted paper products. The manufacturing of these products is grouped together because they...

  15. DOE Releases Maturity Model to Better Protect the Nation's Grid...

    Energy Savers [EERE]

    Electricity Subsector Cybersecurity Capability Maturity Model, which allows electric utilities and grid operators to assess their cybersecurity capabilities and prioritize their...

  16. http://www.bls.gov/news.release/osh.nr0.htm

    National Nuclear Security Administration (NNSA)

    in the information sector (NAICS 51) where industries in NAICS subsector 516 (Internet publishing and broadcasting) are reclassified elsewhere (eliminating NAICS 516) and...

  17. China Energy Databook - Rev. 4

    E-Print Network [OSTI]

    Sinton Editor, J.E.

    2010-01-01

    bem) tndustiy Total S' Coke Oven Gas (bem) Light Industry!Manufacturing Balance^ Coke Oven Gas (bcm) Other Coal Gas (Consumption * (continued) Coke Oven Gas (bcm) Subsector

  18. "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED

  19. "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.4 Relative

  20. "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.4 Relative4.4

  1. "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.4

  2. "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.49 Relative

  3. Presentations

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgram Guidelines ThisHENP Greenbook PresentationACTSAdvanced codeA New

  4. Presentations

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgram Guidelines ThisHENP Greenbook PresentationACTSAdvanced codeA

  5. Association

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal GasAdministration Medal01 Sandia4) AugustA. Geographic Available for sale to2Order Codea

  6. China's Energy and Carbon Emissions Outlook to 2050

    E-Print Network [OSTI]

    Zhou, Nan

    2011-01-01

    Energy Savings Potential by Subsector .. 49 Figure 55 Transport Primary Energy Consumption by Fuel Energy Drivers Drivers of Transformation Sector This analysis examines the potential growth of low-carbon electricity generation through fuel

  7. The changing competitive landscape of the smartphone industry

    E-Print Network [OSTI]

    Ogunsanwo, Olumide

    2012-01-01

    Since the first truly portable phone was released in 1983, mobile phone usage has increased at unprecedented rates around the world. Despite this general industry growth, the smartphone subsector has achieved significantly ...

  8. Market Report for the Industrial Sector, 2009

    SciTech Connect (OSTI)

    Sastri, Bhima; Brueske, Sabine; de los Reyes, Pamela; Jamison, Keith; Justiniano, Mauricio; Margolis, Nancy; Monfort, Joe; Raghunathan, Anand; Sabouni, Ridah

    2009-07-01

    This report provides an overview of trends in industrial-sector energy use. It focuses on some of the largest and most energy-intensive industrial subsectors and several emerging technologies that could transform key segments of industry.

  9. Factor Decomposition of Sectoral Growth in South Africa, 1970-2007

    E-Print Network [OSTI]

    Tregenna, Fiona

     essential methodology has  since  been applied in a range of studies internationally in recent years, such as Celasun (1983) for  Turkey, Akita (1991) for Indonesia, Bharadwaj and Chadha (1991) using Indian data, Korres  (1996) for the case of Greece, and Zakaria and Ahmad (1999...  subsector is relatively capital?intensive, in common with category 2  and unlike most  category 1  subsectors. Conversely,  coke and  refined petroleum products  would fit  into category 1, but we have omitted  it here since  it  is a heavy  industry. Thirdly,  printing, publishing, and recorded...

  10. China Energy and Emissions Paths to 2030

    E-Print Network [OSTI]

    Fridley, David

    2012-01-01

    Fuel. 44 Figure 41. Industrial Subsector Primary Energy Savings Potential .Energy Savings Potential under Max Tech Rail Electrification "Savings" EV Penetration "Savings Final Energy Demand (Mtce) Fuelenergy savings and emission reduction potential. The primary source of savings is from electricity rather than fuel,

  11. Industrial Energy Use and Energy Efficiency in Developing Countries 

    E-Print Network [OSTI]

    Price, L.; Martin, N.; Levine, M. D.; Worrell, E.

    1996-01-01

    The industrial sector accounts for over 50% of energy used in developing countries. Growth in this sector has been over 4.5% per year since 1980. Energy intensity trends for four energy-intensive sub-sectors (iron and steel, chemicals, building...

  12. 2006 Update of Business Downtime Costs

    SciTech Connect (OSTI)

    Hinrichs, Mr. Doug [Sentech, Inc.; Goggin, Mr. Michael [Sentech, Inc.

    2007-01-01

    The objective of this paper is to assess the downtime cost of power outages to businesses in the commercial and industrial sectors, updating and improving upon studies that have already been published on this subject. The goal is to produce a study that, relative to existing studies, (1) applies to a wider set of business types (2) reflects more current downtime costs, (3) accounts for the time duration factor of power outages, and (4) includes data on the costs imposed by real outages in a well-defined market. This study examines power outage costs in 11 commercial subsectors and 5 industrial subsectors, using data on downtime costs that was collected in the 1990's. This study also assesses power outage costs for power outages of 20 minutes, 1 hour, and 4 hours duration. Finally, this study incorporates data on the costs of real power outages for two business subsectors. However, the current limited state of data availability on the topic of downtime costs means there is room to improve upon this study. Useful next steps would be to generate more recent data on downtime costs, data that covers outages shorter than 20 minutes duration and longer than 4 hours duration, and more data that is based on the costs caused by real-world outages. Nevertheless, with the limited data that is currently available, this study is able to generate a clear and detailed picture of the downtime costs that are faced by different types of businesses.

  13. Class of supersymmetric solitons with naked singularities

    SciTech Connect (OSTI)

    Cvetic, M.; Youm, D. )

    1995-02-15

    We study vacuum domain walls in a class of four-dimensional [ital N]=1 supergravity theories where along with the matter field, forming the wall, there is more than one dilaton,'' each respecting SU(1,1) symmetry in their subsector. We find [ital supersymmetric] (planar, static) walls, interpolating between a Minkowski vacuum and a new class of supersymmetric vacua which have a naked (planar) singularity. Although such walls correspond to idealized configurations, i.e., they correspond to planar configurations of infinite extent, they provide the first example of supersymmetric classical solitons with naked singularities.

  14. Energy Efficiency Services Sector: Workforce Education and Training Needs

    SciTech Connect (OSTI)

    Goldman, Charles A.; Peters, Jane S.; Albers, Nathaniel; Stuart, Elizabeth; Fuller, Merrian C.

    2010-03-19

    This report provides a baseline assessment of the current state of energy efficiency-related education and training programs and analyzes training and education needs to support expected growth in the energy efficiency services workforce. In the last year, there has been a significant increase in funding for 'green job' training and workforce development (including energy efficiency), through the American Recovery and Reinvestment Act (ARRA). Key segments of the energy efficiency services sector (EESS) have experienced significant growth during the past several years, and this growth is projected to continue and accelerate over the next decade. In a companion study (Goldman et al. 2009), our research team estimated that the EESS will increase two- to four-fold by 2020, to 220,000 person-years of employment (PYE) (low-growth scenario) or up to 380,000 PYE (high-growth scenario), which may represent as many as 1.3 million individuals. In assessing energy efficiency workforce education and training needs, we focus on energy-efficiency services-related jobs that are required to improve the efficiency of residential and nonresidential buildings. Figure ES-1 shows the market value chain for the EESS, sub-sectors included in this study, as well as the types of market players and specific occupations. Our assessment does not include the manufacturing, wholesale, and retail distribution subsectors, or energy efficiency-focused operations and maintenance performed by facility managers.

  15. An ${\\cal N}=3$ Solution in Dyonic ISO(7) Gauged Maximal Supergravity and Its Uplift to Massive Type IIA

    E-Print Network [OSTI]

    Yi Pang; Junchen Rong

    2015-10-16

    We consider a certain ${\\cal N}=1$ supersymmetric, SO(3)$\\times$SO(3) invariant, subsector of the dyonic ISO(7)-gauged maximal supergravity in four-dimensions. The theory contains two scalar fields and two pseudoscalar fields. We look for stationary points of the scalar potential, especially the one preserving ${\\cal N}=3$ supersymmetry of the original ISO(7) gauged theory. The ${\\cal N}=3$ stationary point corresponding to the $AdS$ vacuum in the $D=4$ theory is lifted to a warped $AdS_4\\times X_6$ type solution in massive type IIA supergravity. This $D=10$ background should be the dual of a certain ${\\cal N}=3$ Chern-Simons matter theory in three dimensions.

  16. An ${\\cal N}=3$ Solution in Dyonic ISO(7) Gauged Maximal Supergravity and Its Uplift to Massive Type IIA

    E-Print Network [OSTI]

    Pang, Yi

    2015-01-01

    We consider a certain ${\\cal N}=1$ supersymmetric, SO(3)$\\times$SO(3) invariant, subsector of the dyonic ISO(7)-gauged maximal supergravity in four-dimensions. The theory contains two scalar fields and two pseudoscalar fields. We look for stationary points of the scalar potential, especially the one preserving ${\\cal N}=3$ supersymmetry of the original ISO(7) gauged theory. The ${\\cal N}=3$ stationary point corresponding to the $AdS$ vacuum in the $D=4$ theory is lifted to a warped $AdS_4\\times X_6$ type solution in massive type IIA supergravity. This $D=10$ background should be the dual of a certain ${\\cal N}=3$ Chern-Simons matter theory in three dimensions.

  17. Exploring the Potential Business Case for Synergies Between Natural Gas and Renewable Energy

    SciTech Connect (OSTI)

    Cochran, J.; Zinaman, O.; Logan, J.; Arent, D.

    2014-02-01

    Natural gas and renewable energy each contribute to economic growth, energy independence, and carbon mitigation, sometimes independently and sometimes collectively. Often, natural gas and renewables are considered competitors in markets, such as those for bulk electricity. This paper attempts to address the question, 'Given near- and long-term needs for abundant, cleaner energy sources and decarbonization, how can more compelling business models be created so that these two domestic forms of energy work in greater concert?' This paper explores revenue opportunities that emerge from systems-level perspectives in 'bulk energy' (large-scale electricity and natural gas production, transmission, and trade) and four 'distribution edge' subsectors: industrial, residential, commercial, and transportation end uses.

  18. Feasibility study for a new thermal power station in Latvia. Desk Study Report No. 2. Export trade information

    SciTech Connect (OSTI)

    Not Available

    1992-08-01

    The Government of Latvia has requested the U.S. Trade and Development Program's (TDP's) assistance in financing the cost of a feasibility study to develop a new 300 MW thermal power station aimed at reducing the present shortage of electricity. The objectives are: A review of the power sector in general, and the thermal power subsector in particular, to identify the deficiencies and requirements; Preliminary identification of a suitable site; Development of an optimum plant size; An economic and financial analysis of the proposed project; Development of engineering cost estimates and project schedule; Development of a financing plan and preparation of the necessary material for the government to seek financing from international investors/lenders; Assessment of the training requirements of the Latvian power sector engineers and managers.

  19. 2008 Industrial Technologies Market Report, May 2009

    SciTech Connect (OSTI)

    Energetics; DOE

    2009-07-01

    The industrial sector is a critical component of the U.S. economy, providing an array of consumer, transportation, and national defense-related goods we rely on every day. Unlike many other economic sectors, however, the industrial sector must compete globally for raw materials, production, and sales. Though our homes, stores, hospitals, and vehicles are located within our borders, elements of our goods-producing industries could potentially be moved offshore. Keeping U.S. industry competitive is essential to maintaining and growing the U.S. economy. This report begins with an overview of trends in industrial sector energy use. The next section of the report focuses on some of the largest and most energy-intensive industrial subsectors. The report also highlights several emerging technologies that could transform key segments of industry. Finally, the report presents policies, incentives, and drivers that can influence the competitiveness of U.S. industrial firms.

  20. Public Interest Energy Research (PIER) Program. Final Project Report. California Energy Balance Update and Decomposition Analysis for the Industry and Building Sectors

    SciTech Connect (OSTI)

    de la Rue du Can, Stephane; Hasanbeigi, Ali; Sathaye, Jayant

    2010-12-01

    This report on the California Energy Balance version 2 (CALEB v2) database documents the latest update and improvements to CALEB version 1 (CALEB v1) and provides a complete picture of how energy is supplied and consumed in the State of California. The CALEB research team at Lawrence Berkeley National Laboratory (LBNL) performed the research and analysis described in this report. CALEB manages highly disaggregated data on energy supply, transformation, and end-use consumption for about 40 different energy commodities, from 1990 to 2008. This report describes in detail California's energy use from supply through end-use consumption as well as the data sources used. The report also analyzes trends in energy demand for the "Manufacturing" and "Building" sectors. Decomposition analysis of energy consumption combined with measures of the activity driving that consumption quantifies the effects of factors that shape energy consumption trends. The study finds that a decrease in energy intensity has had a very significant impact on reducing energy demand over the past 20 years. The largest impact can be observed in the industry sector where energy demand would have had increased by 358 trillion British thermal units (TBtu) if subsectoral energy intensities had remained at 1997 levels. Instead, energy demand actually decreased by 70 TBtu. In the "Building" sector, combined results from the "Service" and "Residential" subsectors suggest that energy demand would have increased by 264 TBtu (121 TBtu in the "Services" sector and 143 TBtu in the "Residential" sector) during the same period, 1997 to 2008. However, energy demand increased at a lesser rate, by only 162 TBtu (92 TBtu in the "Services" sector and 70 TBtu in the "Residential" sector). These energy intensity reductions can be indicative of energyefficiency improvements during the past 10 years. The research presented in this report provides a basis for developing an energy-efficiency performance index to measure progress over time in the State of California.

  1. How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios

    SciTech Connect (OSTI)

    Aden, Nathaniel T.; Zheng, Nina; Fridley, David G.

    2009-07-01

    Urbanization has re-shaped China's economy, society, and energy system. Between 1990 and 2007 China added 290 million new urban residents, bringing the total urbanization rate to 45%. This population adjustment spurred energy demand for construction of new buildings and infrastructure, as well as additional residential use as rural biomass was replaced with urban commercial energy services. Primary energy demand grew at an average annual rate of 10% between 2000 and 2007. Urbanization's effect on energy demand was compounded by the boom in domestic infrastructure investment, and in the export trade following World Trade Organization (WTO) accession in 2001. Industry energy consumption was most directly affected by this acceleration. Whereas industry comprised 32% of 2007 U.S. energy use, it accounted for 75% of China's 2007 energy consumption. Five sub-sectors accounted for 78% of China's industry energy use in 2007: iron and steel, energy extraction and processing, chemicals, cement, and non-ferrous metals. Ferrous metals alone accounted for 25% of industry and 18% of total primary energy use. The rapid growth of heavy industry has led China to become by far the world's largest producer of steel, cement, aluminum, and other energy-intensive commodities. However, the energy efficiency of heavy industrial production continues to lag world best practice levels. This study uses scenario analysis to quantify the impact of urbanization and trade on industrial and residential energy consumption from 2000 to 2025. The BAU scenario assumed 67% urbanization, frozen export amounts of heavy industrial products, and achievement of world best practices by 2025. The China Lightens Up (CLU) scenario assumed 55% urbanization, zero net exports of heavy industrial products, and more aggressive efficiency improvements by 2025. The five dominant industry sub-sectors were modeled in both scenarios using a LEAP energy end-use accounting model. The results of this study show that a CLU-style development path would avoid 430 million tonnes coal-equivalent energy use by 2025. More than 60% of these energy savings would come from reduced activity and production levels. In carbon terms, this would amount to more than a billion-tonne reduction of energy-related carbon emissions compared with the BAU scenario in 2025, though the absolute level of emissions rises in both scenarios. Aside from the energy and carbon savings related to CLU scenario development, this study showed impending saturation effects in commercial construction, urban appliance ownership, and fertilizer application. The implication of these findings is that urbanization will have a direct impact on future energy use and emissions - policies to guide urban growth can play a central role in China's efforts to mitigate emissions growth.

  2. Dyonic ISO(7) supergravity and the duality hierarchy

    E-Print Network [OSTI]

    Guarino, Adolfo

    2015-01-01

    Motivated by its well defined higher dimensional origin, a detailed study of $D=4$ $\\mathcal{N}=8$ supergravity with a dyonically gauged $\\textrm{ISO}(7) = \\textrm{SO}(7) \\ltimes \\mathbb{R}^7$ gauge group is performed. We write down the Lagrangian and describe the tensor and duality hierarchies, focusing on an interesting subsector with closed field equations and supersymmetry transformations. We then truncate the $\\mathcal{N}=8$ theory to some smaller sectors with $\\mathcal{N}=2$ and $\\mathcal{N}=1$ supersymmetry and SU(3), $\\textrm{G}_2$ and SO(4) bosonic symmetry. Canonical and superpotential formulations for these sectors are given, and their vacuum structure and spectra is analysed. Unlike the purely electric ISO(7) gauging, the dyonic gauging displays a rich structure of vacua, all of them AdS. We recover all previously known ones and find a new $\\mathcal{N}=1$ vacuum with SU(3) symmetry and various non-supersymmetric vacua, all of them stable within the full $\\mathcal{N}=8$ theory.

  3. Analysis of Long-range Clean Energy Investment Scenarios forEritrea, East Africa

    SciTech Connect (OSTI)

    Van Buskirk, Robert D.

    2004-05-07

    We discuss energy efficiency and renewable energy investments in Eritrea from the strategic long-term economic perspective of meeting Eritrea's sustainable development goals and reducing greenhouse gas emissions. Energy efficiency and renewable energy are potentially important contributors to national productive capital accumulation, enhancement of the environment, expansion of energy services, increases in household standard of living, and improvements in health. In this study we develop a spreadsheet model for calculating some of the national benefits and costs of different levels of investment in energy efficiency and renewable energy. We then present the results of the model in terms of investment demand and investment scenario curves. These curves express the contribution that efficiency and renewable energy projects can make in terms of reduced energy sector operating expenses, and reduced carbon emissions. We provide demand and supply curves that show the rate of return, the cost of carbon emissions reductions vs. supply, and the evolution of the marginal carbon emissions per dollar of GDP for different investment levels and different fuel-type subsectors.

  4. On the breakdown of perturbative integrability in large N matrix models

    E-Print Network [OSTI]

    Thomas Klose

    2005-07-21

    We study the perturbative integrability of the planar sector of a massive SU(N) matrix quantum mechanical theory with global SO(6) invariance and Yang-Mills-like interaction. This model arises as a consistent truncation of maximally supersymmetric Yang-Mills theory on a three-sphere to the lowest modes of the scalar fields. In fact, our studies mimic the current investigations concerning the integrability properties of this gauge theory. Like in the field theory we can prove the planar integrability of the SO(6) model at first perturbative order. At higher orders we restrict ourselves to the widely studied SU(2) subsector spanned by two complexified scalar fields of the theory. We show that our toy model satisfies all commonly studied integrability requirements such as degeneracies in the spectrum, existence of conserved charges and factorized scattering up to third perturbative order. These are the same qualitative features as the ones found in super Yang-Mills theory, which were enough to conjecture the all-loop integrability of that theory. For the SO(6) model, however, we show that these properties are not sufficient to predict higher loop integrability. In fact, we explicitly demonstrate the breakdown of perturbative integrability at fourth order.

  5. Yangian Superalgebras in Conformal Field Theory

    E-Print Network [OSTI]

    Thomas Creutzig

    2010-12-07

    Quantum Yangian symmetry in several sigma models with supergroup or supercoset as target is established. Starting with a two-dimensional conformal field theory that has current symmetry of a Lie superalgebra with vanishing Killing form we construct non-local charges and compute their properties. Yangian axioms are satisfied, except that the Serre relations only hold for a subsector of the space of fields. Yangian symmetry implies that correlation functions of fields in this sector satisfy Ward identities. We then show that this symmetry is preserved by certain perturbations of the conformal field theory. The main example are sigma models of the supergroups PSL(N|N), OSP(2N+2|2N) and D(2,1;\\alpha) away from the WZW point. Further there are the OSP(2N+2|2N) Gross-Neveu models and current-current perturbations of ghost systems, both for the disc as world-sheet. The latter we show to be equivalent to CP^{N-1|N} sigma models, while the former are conjecturally dual to supersphere sigma models.

  6. Industrial sector energy conservation programs in the People`s Republic of China during the seventh five-year plan (1986--1990)

    SciTech Connect (OSTI)

    Liu Zhiping; Sinton, J.E.; Yang Fuqiang; Levine, M.D.; Ting, M.K.

    1994-09-01

    The impetus at the national level to invest in energy conservation is quite strong and has long been reflected not only in official pronouncements, but also in the investments and organizational activities of the Chinese government. In the early 1980s the central government began a program of direct investments in industrial energy conservation that continues to the present. In addition, concurrently established governmental and quasi-governmental agencies have pursued conservation through administrative and educational measures. In Section 2 of this paper the authors outline the policies and institutions that supported China`s program of energy conservation investments in the Sixth and Seventh Five-Year Plans (FYPs) (1981--1985 and 1986--1990). In Section 3 they describe examples of the types of conservation projects pursued in four industrial subsectors: ferrous metals manufacturing; non-ferrous metals mining and manufacturing; chemicals manufacturing; and building materials manufacturing. Section 4 presents a simple methodology for comparing the costs of energy conservation to those of energy supply. Further discussion points out the applicability and limitations of this methodology to State Planning Commission published statistical material on the overall results of energy conservation investments. Though problematic, such analysis indicates that energy conservation investments were probably substantially cheaper than investments in equivalent energy supply would have been. They end with a discussion of some of the difficulties encountered in carrying out the conservation investment programs.

  7. Energy use and CO2 emissions of China’s industrial sector from a global perspective

    SciTech Connect (OSTI)

    Zhou, Sheng; Kyle, G. Page; Yu, Sha; Clarke, Leon E.; Eom, Jiyong; Luckow, Patrick W.; Chaturvedi, Vaibhav; Zhang, Xiliang; Edmonds, James A.

    2013-07-10

    The industrial sector has accounted for more than 50% of China’s final energy consumption in the past 30 years. Understanding the future emissions and emissions mitigation opportunities depends on proper characterization of the present-day industrial energy use, as well as industrial demand drivers and technological opportunities in the future. Traditionally, however, integrated assessment research has handled the industrial sector of China in a highly aggregate form. In this study, we develop a technologically detailed, service-oriented representation of 11 industrial subsectors in China, and analyze a suite of scenarios of future industrial demand growth. We find that, due to anticipated saturation of China’s per-capita demands of basic industrial goods, industrial energy demand and CO2 emissions approach a plateau between 2030 and 2040, then decrease gradually. Still, without emissions mitigation policies, the industrial sector remains heavily reliant on coal, and therefore emissions-intensive. With carbon prices, we observe some degree of industrial sector electrification, deployment of CCS at large industrial point sources of CO2 emissions at low carbon prices, an increase in the share of CHP systems at industrial facilities. These technological responses amount to reductions of industrial emissions (including indirect emission from electricity) are of 24% in 2050 and 66% in 2095.

  8. Current and future industrial energy service characterizations

    SciTech Connect (OSTI)

    Krawiec, F.; Thomas, T.; Jackson, F.; Limaye, D.R.; Isser, S.; Karnofsky, K.; Davis, T.D.

    1980-10-01

    Current and future energy demands, end uses, and cost used to characterize typical applications and resultant services in the industrial sector of the United States and 15 selected states are examined. A review and evaluation of existing industrial energy data bases was undertaken to assess their potential for supporting SERI research on: (1) market suitability analysis, (2) market development, (3) end-use matching, (3) industrial applications case studies, and (4) identification of cost and performance goals for solar systems and typical information requirements for industrial energy end use. In reviewing existing industrial energy data bases, the level of detail, disaggregation, and primary sources of information were examined. The focus was on fuels and electric energy used for heat and power purchased by the manufacturing subsector and listed by 2-, 3-, and 4-digit SIC, primary fuel, and end use. Projections of state level energy prices to 1990 are developed using the energy intensity approach. The effects of federal and state industrial energy conservation programs on future industrial sector demands were assessed. Future end-use energy requirements were developed for each 4-digit SIC industry and were grouped as follows: (1) hot water, (2) steam (212 to 300/sup 0/F, each 100/sup 0/F interval from 300 to 1000/sup 0/F, and greater than 1000/sup 0/F), and (3) hot air (100/sup 0/F intervals). Volume I details the activities performed in this effort.

  9. Addressing an Uncertain Future Using Scenario Analysis

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Marnay, Chris

    2006-12-15

    The Office of Energy Efficiency and Renewable Energy (EERE) has had a longstanding goal of introducing uncertainty into the analysis it routinely conducts in compliance with the Government Performance and Results Act (GPRA) and for strategic management purposes. The need to introduce some treatment of uncertainty arises both because it would be good general management practice, and because intuitively many of the technologies under development by EERE have a considerable advantage in an uncertain world. For example, an expected kWh output from a wind generator in a future year, which is not exposed to volatile and unpredictable fuel prices, should be truly worth more than an equivalent kWh from an alternative fossil fuel fired technology. Indeed, analysts have attempted to measure this value by comparing the prices observed in fixed-price natural gas contracts compared to ones in which buyers are exposed to market prices (see Bolinger, Wiser, and Golove and (2004)). In addition to the routine reasons for exploring uncertainty given above, the history of energy markets appears to have exhibited infrequent, but troubling, regime shifts, i.e., historic turning points at which the center of gravity or fundamental nature of the system appears to have abruptly shifted. Figure 1 below shows an estimate of how the history of natural gas fired generating costs has evolved over the last three decades. The costs shown incorporate both the well-head gas price and an estimate of how improving generation technology has gradually tended to lower costs. The purpose of this paper is to explore scenario analysis as a method for introducing uncertainty into EERE's forecasting in a manner consistent with the preceding observation. The two questions are how could it be done, and what is its academic basis, if any. Despite the interest in uncertainty methods, applying them poses some major hurdles because of the heavy reliance of EERE on forecasting tools that are deterministic in nature, such as the Energy Information Administration's (EIA's) National Energy Modeling System (NEMS). NEMS is the source of the influential Annual Energy Outlook whose business-as-usual (BAU) case, the Reference Case, forms the baseline for most of the U.S. energy policy discussion. NEMS is an optimizing model because: 1. it iterates to an equilibrium among modules representing the supply, demand, and energy conversion subsectors; and 2. several subsectoral models are individually solved using linear programs (LP). Consequently, it is deeply rooted in the recent past and any effort to simulate the consequences of a major regime shift as depicted in Figure 1 must come by applying an exogenously specified scenario. And, more generally, simulating futures that lie outside of our recent historic experience, even if they do not include regime switches suggest some form of scenario approach. At the same time, the statistical validity of scenarios that deviate significantly outside the ranges of historic inputs should be questioned.

  10. Profile of the chemicals industry in California: Californiaindustries of the future program

    SciTech Connect (OSTI)

    Galitsky, Christina; Worrell, Ernst

    2004-06-01

    The U.S. Department of Energy (DOE) Office of Industrial Technologies (OIT) established the Industries of the Future (IOF) program to increase energy efficiency, reduce waste production and to improve competitiveness, currently focusing on nine sectors. The IOF is a partnership strategy involving industry, the research community and the government, working together to identify technology needs, promote industrial partnerships and implement joint measures with all partners involved. The State Industries of the Future (SIOF) program delivers the accomplishments of the national Industries of the Future strategy to the local level, to expand the technology opportunities to a larger number of partners and reach smaller businesses and manufacturers that were not initially involved in the IOF effort. The state programs bring together industry, academia, and state agencies to address the important issues confronting industry in the state. These public-private coalitions facilitate industry solutions locally and enhance economic development. California has started a State Industries of the Future effort, in collaboration with the U.S. Department of Energy. The California Energy Commission (CEC) is leading the SIOF program in California, as part of many other programs to improve the energy efficiency and performance of industries in California. The California State IOF program aims to build a network of participants from industry, academia and government in four selected industrial sectors as a basis for the development of a strategic partnership for industrial energy efficient technology in the state. In California the IOF effort focuses petroleum refining, chemical processing, food processing and electronics. As part of this effort, the SIOF program will develop roadmaps for technology development for the selected sectors. On the basis of the roadmap, the program will develop successful projects with co-funding from state and federal government, and promote industry-specific energy-efficiency. An important element of the SIOF-program is the preparation of R&D roadmaps for each of the selected industries. The roadmap will help to identify priority needs for the participating industries to meet their energy challenges. The roadmap effort builds on the roadmaps developed by DOE, and on the conditions specific for the industry in California. Key to the successful preparation of a roadmap in the selected industries is the development of a profile of the industries. The profile provides a basis for the participants in the roadmap-effort, especially as the structure of the industries in California can be different than in the nation. The sector profiles describe the current economic and energy situation of these industries in California, the processes and energy uses, and the potential future developments in each industry. The profiles are an integral part of the roadmap, to help working group partners to evaluate the industry's R&D needs for their industry in California. In this report, we focus on the chemicals industry. The industry is an important economic factor in the state, providing over 82,300 jobs directly, and more in indirect employment. Value of shipments in 2001 was just under $25.7 Billion, or 6% of all manufacturing in California. There are over 1,500 chemical plants in California, of which 52% are pharmaceutical companies. Many companies operate chemical plants in California. The industry consumes 8% of the electricity and 5% of the natural gas in California. In this report, we start with a description of the chemical industry in the United States and California. This is followed by a discussion of the energy consumption and energy intensity of the Californian chemical industry. Chapter 3 focuses on the main sub-sectors. For each of the sub-sectors a general process description is provided in Chapter 4. Based on this analysis, in Chapter 5, we discuss potential technology developments that can contribute to further improving the energy efficiency in chemical plants, with a focus on the situation in California.

  11. SCENARIOS FOR MEETING CALIFORNIA'S 2050 CLIMATE GOALS California's Carbon Challenge Phase II Volume I: Non-Electricity Sectors and Overall Scenario Results

    SciTech Connect (OSTI)

    Wei, Max; Greenblatt, Jeffrey; Donovan, Sally; Nelson, James; Mileva, Ana; Johnston, Josiah; Kammen, Daniel

    2014-06-01

    This study provides an updated analysis of long-term energy system scenarios for California consistent with the State meeting its 2050 climate goal, including detailed analysis and assessment of electricity system build-out, operation, and costs across the Western Electricity Coordinating Council (WECC) region. Four key elements are found to be critical for the State to achieve its 2050 goal of 80 percent greenhouse (GHG) reductions from the 1990 level: aggressive energy efficiency; clean electricity; widespread electrification of passenger vehicles, building heating, and industry heating; and large-scale production of low-carbon footprint biofuels to largely replace petroleum-based liquid fuels. The approach taken here is that technically achievable energy efficiency measures are assumed to be achieved by 2050 and aggregated with the other key elements mentioned above to estimate resultant emissions in 2050. The energy and non-energy sectors are each assumed to have the objective of meeting an 80 percent reduction from their respective 1990 GHG levels for the purposes of analysis. A different partitioning of energy and non-energy sector GHG greenhouse reductions is allowed if emission reductions in one sector are more economic or technically achievable than in the other. Similarly, within the energy or non-energy sectors, greater or less than 80 percent reduction from 1990 is allowed for sub-sectors within the energy or non-energy sectors as long as the overall target is achieved. Overall emissions for the key economy-wide scenarios are considered in this report. All scenarios are compliant or nearly compliant with the 2050 goal. This finding suggests that multiple technical pathways exist to achieve the target with aggressive policy support and continued technology development of largely existing technologies.

  12. Energy-Efficiency Improvement Opportunities for the Textile Industry

    SciTech Connect (OSTI)

    China Energy Group; Hasanbeigi, Ali

    2010-09-29

    The textile industry is one of the most complicated manufacturing industries because it is a fragmented and heterogeneous sector dominated by small and medium enterprises (SMEs). Energy is one of the main cost factors in the textile industry. Especially in times of high energy price volatility, improving energy efficiency should be a primary concern for textile plants. There are various energy-efficiency opportunities that exist in every textile plant, many of which are cost-effective. However, even cost-effective options often are not implemented in textile plants mostly because of limited information on how to implement energy-efficiency measures, especially given the fact that a majority of textile plants are categorized as SMEs and hence they have limited resources to acquire this information. Know-how on energy-efficiency technologies and practices should, therefore, be prepared and disseminated to textile plants. This guidebook provides information on energy-efficiency technologies and measures applicable to the textile industry. The guidebook includes case studies from textile plants around the world and includes energy savings and cost information when available. First, the guidebook gives a brief overview of the textile industry around the world, with an explanation of major textile processes. An analysis of the type and the share of energy used in different textile processes is also included in the guidebook. Subsequently, energy-efficiency improvement opportunities available within some of the major textile sub-sectors are given with a brief explanation of each measure. The conclusion includes a short section dedicated to highlighting a few emerging technologies in the textile industry as well as the potential for the use of renewable energy in the textile industry.

  13. China's industrial sector in an international context

    SciTech Connect (OSTI)

    Price, Lynn; Worrell, Ernst; Martin, Nathan; Lehman, Bryan; Sinton, Jonathan

    2000-05-01

    The industrial sector accounts for 40% of global energy use. In 1995, developing countries used an estimated 48 EJ for industrial production, over one-third of world total industrial primary energy use (Price et al., 1998). Industrial output and energy use in developing countries is dominated by China, India, and Brazil. China alone accounts for about 30 EJ (National Bureau of Statistics, 1999), or about 23% of world industrial energy use. China's industrial sector is extremely energy-intensive and accounted for almost 75% of the country's total energy use in 1997. Industrial energy use in China grew an average of 6.6% per year, from 14 EJ in 1985 to 30 EJ in 1997 (Sinton et al., 1996; National Bureau of Statistics, 1999). This growth is more than three times faster than the average growth that took place in the world during the past two decades. The industrial sector can be divided into light and heavy industry, reflecting the relative energy-intensity of the manufacturing processes. In China, about 80% of the energy used in the industrial sector is consumed by heavy industry. Of this, the largest energy-consuming industries are chemicals, ferrous metals, and building materials (Sinton et al., 1996). This paper presents the results of international comparisons of production levels and energy use in six energy-intensive subsectors: iron and steel, aluminum, cement, petroleum refining, ammonia, and ethylene. The sectoral analysis results indicate that energy requirements to produce a unit of raw material in China are often higher than industrialized countries for most of the products analyzed in this paper, reflecting a significant potential to continue to improve energy efficiency in heavy industry.

  14. Assessing the Control Systems Capacity for Demand Response in California Industries

    SciTech Connect (OSTI)

    Ghatikar, Girish; McKane, Aimee; Goli, Sasank; Therkelsen, Peter; Olsen, Daniel

    2012-01-18

    California's electricity markets are moving toward dynamic pricing models, such as real-time pricing, within the next few years, which could have a significant impact on an industrial facility's cost of energy use during the times of peak use. Adequate controls and automated systems that provide industrial facility managers real-time energy use and cost information are necessary for successful implementation of a comprehensive electricity strategy; however, little is known about the current control capacity of California industries. To address this gap, Lawrence Berkeley National Laboratory, in close collaboration with California industrial trade associations, conducted a survey to determine the current state of controls technologies in California industries. This,study identifies sectors that have the technical capability to implement Demand Response (DR) and Automated Demand Response (Auto-DR). In an effort to assist policy makers and industry in meeting the challenges of real-time pricing, facility operational and organizational factors were taken into consideration to generate recommendations on which sectors Demand Response efforts should be focused. Analysis of the survey responses showed that while the vast majority of industrial facilities have semi- or fully automated control systems, participation in Demand Response programs is still low due to perceived barriers. The results also showed that the facilities that use continuous processes are good Demand Response candidates. When comparing facilities participating in Demand Response to those not participating, several similarities and differences emerged. Demand Response-participating facilities and non-participating facilities had similar timings of peak energy use, production processes, and participation in energy audits. Though the survey sample was smaller than anticipated, the results seemed to support our preliminary assumptions. Demonstrations of Auto-Demand Response in industrial facilities with good control capabilities are needed to dispel perceived barriers to participation and to investigate industrial subsectors suggested of having inherent Demand Response potential.

  15. Chapter 9, Land and Bioenergy in Scientific Committee on Problems of the Environment (SCOPE), Bioenergy & Sustainability: bridging the gaps.

    SciTech Connect (OSTI)

    Woods J, Lynd LR; Laser, M; Batistella M, De Castro D; Kline, Keith L; Faaij, Andre

    2015-01-01

    In this chapter we address the questions of whether and how enough biomass could be produced to make a material contribution to global energy supply on a scale and timeline that is consistent with prominent low carbon energy scenarios. We assess whether bioenergy provision necessarily conflicts with priority ecosystem services including food security for the world s poor and vulnerable populations. In order to evaluate the potential land demand for bioenergy, we developed a set of three illustrative scenarios using specified growth rates for each bioenergy sub-sector. In these illustrative scenarios, bioenergy (traditional and modern) increases from 62 EJ/yr in 2010 to 100, 150 and 200 EJ/yr in 2050. Traditional bioenergy grows slowly, increasing by between 0.75% and 1% per year, from 40 EJ/yr in 2010 to 50 or 60 EJ/ yr in 2050, continuing as the dominant form of bioenergy until at least 2020. Across the three scenarios, total land demand is estimated to increase by between 52 and 200 Mha which can be compared with a range of potential land availability estimates from the literature of between 240 million hectares to over 1 billion hectares. Biomass feedstocks arise from combinations of residues and wastes, energy cropping and increased efficiency in supply chains for energy, food and materials. In addition, biomass has the unique capability of providing solid, liquid and gaseous forms of modern energy carriers that can be transformed into analogues to existing fuels. Because photosynthesis fixes carbon dioxide from the atmosphere, biomass supply chains can be configured to store at least some of the fixed carbon in forms or ways that it will not be reemitted to the atmosphere for considerable periods of time, so-called negative emissions pathways. These attributes provide opportunities for bioenergy policies to promote longterm and sustainable options for the supply of energy for the foreseeable future.

  16. Energy Use in China: Sectoral Trends and Future Outlook

    SciTech Connect (OSTI)

    Zhou, Nan; McNeil, Michael A.; Fridley, David; Lin, Jiang; Price,Lynn; de la Rue du Can, Stephane; Sathaye, Jayant; Levine, Mark

    2007-10-04

    This report provides a detailed, bottom-up analysis ofenergy consumption in China. It recalibrates official Chinese governmentstatistics by reallocating primary energy into categories more commonlyused in international comparisons. It also provides an analysis of trendsin sectoral energy consumption over the past decades. Finally, itassesses the future outlook for the critical period extending to 2020,based on assumptions of likely patterns of economic activity,availability of energy services, and energy intensities. The followingare some highlights of the study's findings: * A reallocation of sectorenergy consumption from the 2000 official Chinese government statisticsfinds that: * Buildings account for 25 percent of primary energy, insteadof 19 percent * Industry accounts for 61 percent of energy instead of 69percent * Industrial energy made a large and unexpected leap between2000-2005, growing by an astonishing 50 percent in the 3 years between2002 and 2005. * Energy consumption in the iron and steel industry was 40percent higher than predicted * Energy consumption in the cement industrywas 54 percent higher than predicted * Overall energy intensity in theindustrial sector grew between 2000 and 2003. This is largely due tointernal shifts towards the most energy-intensive sub-sectors, an effectwhich more than counterbalances the impact of efficiency increases. *Industry accounted for 63 percent of total primary energy consumption in2005 - it is expected to continue to dominate energy consumption through2020, dropping only to 60 percent by that year. * Even assuming thatgrowth rates in 2005-2020 will return to the levels of 2000-2003,industrial energy will grow from 42 EJ in 2005 to 72 EJ in 2020. * Thepercentage of transport energy used to carry passengers (instead offreight) will double from 37 percent to 52 percent between 2000 to 2020,.Much of this increase is due to private car ownership, which willincrease by a factor of 15 from 5.1 million in 2000 to 77 million in2020. * Residential appliance ownership will show signs of saturation inurban households. The increase in residential energy consumption will belargely driven by urbanization, since rural homes will continue to havelow consumption levels. In urban households, the size of appliances willincrease, but its effect will be moderated by efficiency improvements,partially driven by government standards. * Commercial energy increaseswill be driven both by increases in floor space and by increases inpenetration of major end uses such as heating and cooling. Theseincreases will be moderated somewhat, however, by technology changes,such as increased use of heat pumps. * China's Medium- and Long-TermDevelopment plan drafted by the central government and published in 2004calls for a quadrupling of GDP in the period from 2000-2020 with only adoubling in energy consumption during the same period. A bottom-upanalysis with likely efficiency improvements finds that energyconsumption will likely exceed the goal by 26.12 EJ, or 28 percent.Achievements of these goals will there fore require a more aggressivepolicy of encouraging energy efficiency.

  17. Community Wind: Once Again Pushing the Envelope of Project Finance

    SciTech Connect (OSTI)

    bolinger, Mark A.

    2011-01-18

    In the United States, the 'community wind' sector - loosely defined here as consisting of relatively small utility-scale wind power projects that sell power on the wholesale market and that are developed and owned primarily by local investors - has historically served as a 'test bed' or 'proving grounds' for up-and-coming wind turbine manufacturers that are trying to break into the U.S. wind power market. For example, community wind projects - and primarily those located in the state of Minnesota - have deployed the first U.S. installations of wind turbines from Suzlon (in 2003), DeWind (2008), Americas Wind Energy (2008) and later Emergya Wind Technologies (2010), Goldwind (2009), AAER/Pioneer (2009), Nordic Windpower (2010), Unison (2010), and Alstom (2011). Thus far, one of these turbine manufacturers - Suzlon - has subsequently achieved some success in the broader U.S. wind market as well. Just as it has provided a proving grounds for new turbines, so too has the community wind sector served as a laboratory for experimentation with innovative new financing structures. For example, a variation of one of the most common financing arrangements in the U.S. wind market today - the special allocation partnership flip structure (see Figure 1 in Section 2.1) - was first developed by community wind projects in Minnesota more than a decade ago (and is therefore sometimes referred to as the 'Minnesota flip' model) before being adopted by the broader wind market. More recently, a handful of community wind projects built over the past year have been financed via new and creative structures that push the envelope of wind project finance in the U.S. - in many cases, moving beyond the now-standard partnership flip structures involving strategic tax equity investors. These include: (1) a 4.5 MW project in Maine that combines low-cost government debt with local tax equity, (2) a 25.3 MW project in Minnesota using a sale/leaseback structure, (3) a 10.5 MW project in South Dakota financed by an intrastate offering of both debt and equity, (4) a 6 MW project in Washington state that taps into New Markets Tax Credits using an 'inverted' or 'pass-through' lease structure, and (5) a 9 MW project in Oregon that combines a variety of state and federal incentives and loans with unconventional equity from high-net-worth individuals. In most cases, these are first-of-their-kind structures that could serve as useful examples for other projects - both community and commercial wind alike. This report describes each of these innovative new financing structures in some detail, using a case-study approach. The purpose is twofold: (1) to disseminate useful information on these new financial structures, most of which are widely replicable; and (2) to highlight the recent policy changes - many of them temporary unless extended - that have facilitated this innovation. Although the community wind market is currently only a small sub-sector of the U.S. wind market - as defined here, less than 2% of the overall market at the end of 2009 (Wiser and Bolinger 2010) - its small size belies its relevance to the broader market. As such, the information provided in this report has relevance beyond its direct application to the community wind sector. The next two sections of this report briefly summarize how most community wind projects in the U.S. have been financed historically (i.e., prior to this latest wave of innovation) and describe the recent federal policy changes that have enabled a new wave of financial innovation to occur, respectively. Section 4 contains brief case studies of how each of the five projects mentioned above were financed, noting the financial significance of each. Finally, Section 5 concludes by distilling a number of general observations or pertinent lessons learned from the experiences of these five projects.

  18. Business Case for Energy Efficiency in Support of Climate Change Mitigation, Economic and Societal Benefits in China

    SciTech Connect (OSTI)

    McNeil, Michael A.; Bojda, Nicholas; Ke, Jing; Qin, Yining; de la Rue du Can, Stephane; Fridley, David; Letschert, Virginie E.; McMahon, James E.

    2011-08-18

    This study seeks to provide policymakers and other stakeholders with actionable information towards a road map for reducing energy consumption cost-effectively. We focus on individual end use equipment types (hereafter referred to as appliance groups) that might be the subject of policies - such as labels, energy performance standards, and incentives - to affect market transformation in the short term, and on high-efficiency technology options that are available today. As the study title suggests, the high efficiency or Business Case scenario is constructed around a model of cost-effective efficiency improvement. Our analysis demonstrates that a significant reduction in energy consumption and emissions is achievable at net negative cost, that is, as a profitable investment for consumers. Net savings are calculated assuming no additional costs to energy consumption such as carbon taxes. Savings relative to the base case as calculated in this way is often referred to as 'economic savings potential'. Chinese energy demand has grown dramatically over the last few decades. While heavy industry still plays a dominant role in greenhouse gas emissions, demand from residential and commercial buildings has also seen rapid growth in percentage terms. In the residential sector this growth is driven by internal migration from the countryside to cities. Meanwhile, income in both urban and rural subsectors allows ownership of major appliances. While residences are still relatively small by U.S. or European standards, nearly all households own a refrigerator, a television and an air conditioner. In the future, ownership rates are not expected to grow as much as in other developing countries, because they are already close to saturation. However, the gradual turnover of equipment in the world's largest consumer market provides a huge opportunity for greenhouse gas mitigation. In addition to residences, commercial floor space has expanded rapidly in recent years, and construction continues at a rapid pace. Growth in this sector means that commercial lighting and HVAC will play an increasingly important role in energy demand in China. The outlook for efficiency improvement in China is encouraging, since the Chinese national and local governments have implemented significant policies to contain energy intensity and announced their intention to continue and accelerate these. In particular, the Chinese appliance standards program, first established in 1989, was significantly strengthened and modernized after the passage of the Energy Conservation Law of 1997. Since then, the program has expanded to encompass over 30 equipment types (including motor vehicles). The current study suggests that, in spite of these efforts, there is significant savings to be captured through wide adoption of technologies already available on the Chinese market. The approach of the study is to assess the impact of short-term actions on long-term impacts. 'Short-term' market transformation is assumed to occur by 2015, while 'long-term' energy demand reduction impacts are assessed in 2030. In the intervening years, most but not all of the equipment studied will turn over completely. Early in 2011, the Chinese government announced a plan to reduce carbon dioxide emissions intensity (per unit GDP) by 16% by 2015 as part of the 12th five year plan. These targets are consistent with longer term goals to reduce emissions intensity 40-45% relative to 2005 levels by 2020. The efforts of the 12th FYP focus on short-term gains to meet the four-year targets, and concentrate mainly in industry. Implementation of cost-effective technologies for all new equipment in the buildings sector thus is largely complementary to the 12th FYP goals, and would provide a mechanism to sustain intensity reductions in the medium and long term. The 15-year time frame is significant for many products, in the sense that delay of implementation postpones economic benefits and mitigation of emissions of carbon dioxide. Such delays would result in putting in place energy-wasting technologies, postponin

  19. Control Systems Security Center Comparison Study of Industrial Control System Standards against the Control Systems Protection Framework Cyber-Security Requirements

    SciTech Connect (OSTI)

    Robert P. Evans

    2005-09-01

    Cyber security standards, guidelines, and best practices for control systems are critical requirements that have been delineated and formally recognized by industry and government entities. Cyber security standards provide a common language within the industrial control system community, both national and international, to facilitate understanding of security awareness issues but, ultimately, they are intended to strengthen cyber security for control systems. This study and the preliminary findings outlined in this report are an initial attempt by the Control Systems Security Center (CSSC) Standard Awareness Team to better understand how existing and emerging industry standards, guidelines, and best practices address cyber security for industrial control systems. The Standard Awareness Team comprised subject matter experts in control systems and cyber security technologies and standards from several Department of Energy (DOE) National Laboratories, including Argonne National Laboratory, Idaho National Laboratory, Pacific Northwest National Laboratory, and Sandia National Laboratories. This study was conducted in two parts: a standard identification effort and a comparison analysis effort. During the standard identification effort, the Standard Awareness Team conducted a comprehensive open-source survey of existing control systems security standards, regulations, and guidelines in several of the critical infrastructure (CI) sectors, including the telecommunication, water, chemical, energy (electric power, petroleum and oil, natural gas), and transportation--rail sectors and sub-sectors. During the comparison analysis effort, the team compared the requirements contained in selected, identified, industry standards with the cyber security requirements in ''Cyber Security Protection Framework'', Version 0.9 (hereafter referred to as the ''Framework''). For each of the seven sector/sub-sectors listed above, one standard was selected from the list of standards identified in the identification effort. The requirements in these seven standards were then compared against the requirements given in the Framework. This comparison identified gaps (requirements not covered) in both the individual industry standards and in the Framework. In addition to the sector-specific standards reviewed, the team compared the requirements in the cross-sector Instrumentation, Systems, and Automation Society (ISA) Technical Reports (TR) 99 -1 and -2 to the Framework requirements. The Framework defines a set of security classes separated into families as functional requirements for control system security. Each standard reviewed was compared to this template of requirements to determine if the standard requirements closely or partially matched these Framework requirements. An analysis of each class of requirements pertaining to each standard reviewed can be found in the comparison results section of this report. Refer to Appendix A, ''Synopsis of Comparison Results'', for a complete graphical representation of the study's findings at a glance. Some of the requirements listed in the Framework are covered by many of the standards, while other requirements are addressed by only a few of the standards. In some cases, the scope of the requirements listed in the standard for a particular industry greatly exceeds the requirements given in the Framework. These additional families of requirements, identified by the various standards bodies, could potentially be added to the Framework. These findings are, in part, due to the maturity both of the security standards themselves and of the different industries current focus on security. In addition, there are differences in how communication and control is used in different industries and the consequences of disruptions via security breaches to each particular industry that could affect how security requirements are prioritized. The differences in the requirements listed in the Framework and in the various industry standards are due, in part, to differences in the level and purpose of the standards. While the requir