Sample records for advanced grid integration

  1. Advanced Grid Integration (AGI) | Department of Energy

    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 DataEnergyDepartment ofATVM LoanActiveMission » Advanced Grid Integration

  2. Grid Integration

    SciTech Connect (OSTI)

    Not Available

    2008-09-01T23:59:59.000Z

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

  3. Solar Electric Grid Integration- Advanced Concepts (SEGIS-AC) Funding Opportunity

    Broader source: Energy.gov [DOE]

    Through the Solar Electric Grid Integration – Advanced Concepts (SEGIS-AC) program, DOE is funding solar projects that are targeting ways to develop power electronics and build smarter, more...

  4. EWEC 2006 Scientific Track Advanced Forecast Systems for the Grid Integration of 25 GW

    E-Print Network [OSTI]

    Heinemann, Detlev

    forecasts, smoothing effects Abstract The economic success of offshore wind farms in liberalised electricity of offshore wind farms, their electricity production must be known well in advance to allow an efficient Oldenburg, Germany Key words: Offshore wind power, grid integration, short-term prediction, regional

  5. Sandia National Laboratories: Distribution Grid Integration

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

    Distribution Grid Integration Recent Sandia Secure, Scalable Microgrid Advanced Controls Research Accomplishments On March 3, 2015, in Capabilities, Distribution Grid Integration,...

  6. Sandia National Laboratories: Grid Integration

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

    Grid Integration Energy Supply Transformation Needed On February 20, 2013, in DETL, Distribution Grid Integration, Energy, Energy Assurance, Energy Surety, Grid Integration,...

  7. FUTURE POWER GRID INITIATIVE GridPACK: Grid Parallel Advanced

    E-Print Network [OSTI]

    FUTURE POWER GRID INITIATIVE GridPACK: Grid Parallel Advanced Computational Kernels OBJECTIVE The U of the power grid will also have to evolve to insure accurate and timely simulations. On the other hand, the software tools available for power grid simulation today are primarily sequential single core programs

  8. Sandia National Laboratories: Grid Integration

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

    Energy Efficiency, Grid Integration, Microgrid, Modeling & Analysis, News, Partnership, SMART Grid Vermont-a leader in energy efficiency and deployment of so-called smart-grid...

  9. Sandia National Laboratories: Grid Integration

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

    IEC 61400-26 Availability Standard On June 12, 2014, in Analysis, Distribution Grid Integration, Energy, Grid Integration, Infrastructure Security, News, News & Events,...

  10. Smart Grid Integration Laboratory

    SciTech Connect (OSTI)

    Wade Troxell

    2011-09-30T23:59:59.000Z

    The initial federal funding for the Colorado State University Smart Grid Integration Laboratory is through a Congressionally Directed Project (CDP), DE-OE0000070 Smart Grid Integration Laboratory. The original program requested in three one-year increments for staff acquisition, curriculum development, and instrumentation â?? all which will benefit the Laboratory. This report focuses on the initial phase of staff acquisition which was directed and administered by DOE NETL/ West Virginia under Project Officer Tom George. Using this CDP funding, we have developed the leadership and intellectual capacity for the SGIC. This was accomplished by investing (hiring) a core team of Smart Grid Systems engineering faculty focused on education, research, and innovation of a secure and smart grid infrastructure. The Smart Grid Integration Laboratory will be housed with the separately funded Integrid Laboratory as part of CSUâ??s overall Smart Grid Integration Center (SGIC). The period of performance of this grant was 10/1/2009 to 9/30/2011 which included one no cost extension due to time delays in faculty hiring. The Smart Grid Integration Laboratoryâ??s focus is to build foundations to help graduate and undergraduates acquire systems engineering knowledge; conduct innovative research; and team externally with grid smart organizations. Using the results of the separately funded Smart Grid Workforce Education Workshop (May 2009) sponsored by the City of Fort Collins, Northern Colorado Clean Energy Cluster, Colorado State University Continuing Education, Spirae, and Siemens has been used to guide the hiring of faculty, program curriculum and education plan. This project develops faculty leaders with the intellectual capacity to inspire its students to become leaders that substantially contribute to the development and maintenance of Smart Grid infrastructure through topics such as: (1) Distributed energy systems modeling and control; (2) Energy and power conversion; (3) Simulation of electrical power distribution system that integrates significant quantities of renewable and distributed energy resources; (4) System dynamic modeling that considers end-user behavior, economics, security and regulatory frameworks; (5) Best practices for energy management IT control solutions for effective distributed energy integration (including security with the underlying physical power systems); (6) Experimental verification of effects of various arrangements of renewable generation, distributed generation and user load types along with conventional generation and transmission. Understanding the core technologies for enabling them to be used in an integrated fashion within a distribution network remains is a benefit to the future energy paradigm and future and present energy engineers.

  11. Sandia National Laboratories: Grid Integration

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

    News, News & Events, Renewable Energy, SMART Grid, Systems Analysis, Transmission Grid Integration, Wind Energy Sandia finalized and submitted the updated "WECC Wind Power Plant...

  12. Sandia National Laboratories: Grid Integration

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

    Sandia Offers Approach to Help Utilities Understand Effects of PV Variability on the Grid On March 7, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety,...

  13. NREL: Transmission Grid Integration - Grid Simulation

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecasting NREL researchersGrid

  14. Sandia Energy - Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPower SystemsCarbon CaptureBiofuels

  15. Sandia Energy - Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPower SystemsCarbon

  16. Sandia Energy - Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPower SystemsCarbonEnergy Sandia

  17. Buildings to Grid Integration & Interoperability

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

    Buildings to Grid Integration & Interoperability Joe Hagerman, Senior Advisor DOE Building Technologies Office March 11, 2013 EERE: Office of Energy Efficiency and Renewable Energy...

  18. Sandia National Laboratories: Grid Integration

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

    Sandia-Electric Power Research Institute Partnership Publishes Photovoltaic Reliability Report On January 21, 2014, in Energy, Facilities, Grid Integration, Modeling & Analysis,...

  19. Grid Integration of Robotic Telescopes

    E-Print Network [OSTI]

    F. Breitling; T. Granzer; H. Enke

    2009-03-23T23:59:59.000Z

    Robotic telescopes and grid technology have made significant progress in recent years. Both innovations offer important advantages over conventional technologies, particularly in combination with one another. Here, we introduce robotic telescopes used by the Astrophysical Institute Potsdam as ideal instruments for building a robotic telescope network. We also discuss the grid architecture and protocols facilitating the network integration that is being developed by the German AstroGrid-D project. Finally, we present three user interfaces employed for this purpose.

  20. Sandia National Laboratories: Transmission Grid Integration

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

    Transmission Grid Integration Wind Generator Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy Surety, Grid Integration, Infrastructure Security,...

  1. Sandia National Laboratories: Distribution Grid Integration

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

    Energy Supply Transformation Needed On February 20, 2013, in DETL, Distribution Grid Integration, Energy, Energy Assurance, Energy Surety, Grid Integration, Infrastructure...

  2. Sandia National Laboratories: Distribution Grid Integration

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

    Its Phase 1 Operational Demonstration in Late January On April 5, 2013, in Distribution Grid Integration, Energy Assurance, Energy Assurance, Energy Surety, Grid Integration,...

  3. Sandia National Laboratories: Distribution Grid Integration

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

    Distribution Grid Integration ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety,...

  4. NREL: Transmission Grid Integration - Forecasting

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

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  5. NREL: Transmission Grid Integration - News

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

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  6. NREL: Transmission Grid Integration - Projects

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

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  7. NREL: Transmission Grid Integration - Publications

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

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  8. NREL: Transmission Grid Integration - Webinars

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

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  9. NREL: Transmission Grid Integration - Webmaster

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

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  10. SensorGrid: Integrating Sensor Networks and Grid Computing Chen-Khong Tham1

    E-Print Network [OSTI]

    Melbourne, University of

    SensorGrid: Integrating Sensor Networks and Grid Computing Chen-Khong Tham1 and Rajkumar Buyya2 Keywords: Sensors, Sensor Networks, Grid computing, SensorML, SensorWeb. 1. Introduction Recent advances in electronic circuit miniaturization and micro-electromechanical systems (MEMS) have led to the creation

  11. Maturity Model for Advancing Smart Grid Interoperability

    SciTech Connect (OSTI)

    Knight, Mark; Widergren, Steven E.; Mater, J.; Montgomery, Austin

    2013-10-28T23:59:59.000Z

    Abstract—Interoperability is about the properties of devices and systems to connect and work properly. Advancing interoperability eases integration and maintenance of the resulting interconnection. This leads to faster integration, lower labor and component costs, predictability of projects and the resulting performance, and evolutionary paths for upgrade. When specifications are shared and standardized, competition and novel solutions can bring new value streams to the community of stakeholders involved. Advancing interoperability involves reaching agreement for how things join at their interfaces. The quality of the agreements and the alignment of parties involved in the agreement present challenges that are best met with process improvement techniques. The GridWise® Architecture Council (GWAC) sponsored by the United States Department of Energy is supporting an effort to use concepts from capability maturity models used in the software industry to advance interoperability of smart grid technology. An interoperability maturity model has been drafted and experience is being gained through trials on various types of projects and community efforts. This paper describes the value and objectives of maturity models, the nature of the interoperability maturity model and how it compares with other maturity models, and experiences gained with its use.

  12. Sandia Energy - Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatingsUltra-High-Voltage SiliconEnergyFailureGlobal ClimateGrid

  13. NREL: Transmission Grid Integration - Wind Integration Datasets

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy PhaseWind

  14. Articles about Grid Integration and Transmission

    Broader source: Energy.gov [DOE]

    Stories about grid integration and transmission featured by the U.S. Department of Energy (DOE) Wind Program.

  15. Sandia Energy - Distribution Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcomeLongEnergy StorageB.

  16. Sandia Energy - Transmission Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757KelleyEffectsonSandia's Stan AtcittyRenewables

  17. Sandia Energy » Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitche This authorEnergy &EC,Team

  18. Opening Remarks, Grid Integration Initiative Overview

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

    Loads Power Systems Integration Lab PV and Grid Simulators Energy Systems Integration Lab Fuel Cells, Electrolyzers Outdoor Test Area EVs, MV equipment Rooftop PV & Wind Energy...

  19. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

    Data Injection Attacks on Power Grids”, IEEE Transactionson Smart Grid, vol. 2, no. 2, June [21] O. Kosut, L.Data Attacks on Smart Grid State Estimation: Attack

  20. Grid Integration | Department of Energy

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 RussianBy: Thomas P. D'Agostino,Glen WattmanInvestigationsandGrid Integration The

  1. Sandia Energy - Distribution Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcomeLongEnergy StorageB.DETL Permalink

  2. Articles about Grid Integration and Transmission | Department...

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

    grid integration and transmission featured by the U.S. Department of Energy (DOE) Wind Program. May 18, 2015 New Report Says Western Grid Can Weather Disturbances with High Wind,...

  3. The CMS integration grid testbed

    SciTech Connect (OSTI)

    Graham, Gregory E.

    2004-08-26T23:59:59.000Z

    The CMS Integration Grid Testbed (IGT) comprises USCMS Tier-1 and Tier-2 hardware at the following sites: the California Institute of Technology, Fermi National Accelerator Laboratory, the University of California at San Diego, and the University of Florida at Gainesville. The IGT runs jobs using the Globus Toolkit with a DAGMan and Condor-G front end. The virtual organization (VO) is managed using VO management scripts from the European Data Grid (EDG). Gridwide monitoring is accomplished using local tools such as Ganglia interfaced into the Globus Metadata Directory Service (MDS) and the agent based Mona Lisa. Domain specific software is packaged and installed using the Distribution After Release (DAR) tool of CMS, while middleware under the auspices of the Virtual Data Toolkit (VDT) is distributed using Pacman. During a continuous two month span in Fall of 2002, over 1 million official CMS GEANT based Monte Carlo events were generated and returned to CERN for analysis while being demonstrated at SC2002. In this paper, we describe the process that led to one of the world's first continuously available, functioning grids.

  4. Enhancing the Smart Grid: Integrating Clean Distributed and Renewable...

    Energy Savers [EERE]

    Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Imagine a grid...

  5. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

    IEEE Transactions on Smart Grid, vol. 2, no. 2, June [21] O.Malicious Data Attacks on Smart Grid State Estimation:Framework and Roadmap for Smart Grid Interoperability Stan-

  6. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

    IEEE Transactions on Smart Grid, vol. 2, no. 2, June [21] O.Malicious Data Attacks on Smart Grid State Estimation:Attack and Detection in Smart Grid,” to appear in IEEE

  7. Sensor Grid: Integration of Wireless Sensor Networks and the Grid

    E-Print Network [OSTI]

    Teo, Yong-Meng

    Sensor Grid: Integration of Wireless Sensor Networks and the Grid Hock Beng Lim1 , Yong Meng Teo1 Microsystems, Inc. E-mail: [limhb, teoym]@comp.nus.edu.sg Abstract Wireless sensor networks have emerged to the sharing of sensor resources in wireless sensor networks. There are several issues and challenges

  8. Sandia National Laboratories: Distribution Grid Integration

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

    Second Annual Electric Power Research InstituteSandia Photovoltaic Systems Symposium On April 15, 2014, in Concentrating Solar Power, Distribution Grid Integration, Energy,...

  9. Sandia National Laboratories: Distributed Grid Integration

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

    Distributed Grid Integration Federal Electric Regulatory Commission Revised Its Small Generator Interconnection Procedure and Small Generator Interconnection Agreement On March 4,...

  10. Grid Integration and the Carrying Capacity of the U.S. Grid to...

    Energy Savers [EERE]

    Grid Integration and the Carrying Capacity of the U.S. Grid to Incorporate Variable Renewable Energy Grid Integration and the Carrying Capacity of the U.S. Grid to Incorporate...

  11. Chain ReAKTing: Collaborative Advanced Knowledge Technologies in the Combechem Grid

    E-Print Network [OSTI]

    Chen-Burger, Yun-Heh (Jessica)

    and the Combechem grid. The deeper integration supports the publication at source research objective of Combechem.g. the smart laboratory (smart- tea.org), grid-enabled instrumentation, data tracking for analysis, methodologyChain ReAKTing: Collaborative Advanced Knowledge Technologies in the Combechem Grid Michelle

  12. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

    Against Data Injection Attacks on Power Grids”, IEEER. Thomas, and L. Tong, “Malicious Data Attacks on SmartState Estimation: Attack Strategies and Countermeasures,”

  13. Sandia National Laboratories: Grid Integration

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

    grid relies on power transmission from the production source-be it a coal-fired plant, solar array, or wind farm-to the consumer. Long-distance transmission results in sizeable...

  14. Sandia National Laboratories: smart grid integration

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

    Regional Test Center (RTC). The RTC will enable research on integrating solar panels into the statewide smart grid and help reduce the cost of solar power. The Vermont RTC...

  15. Advanced Integrated Traction System

    SciTech Connect (OSTI)

    Greg Smith; Charles Gough

    2011-08-31T23:59:59.000Z

    The United States Department of Energy elaborates the compelling need for a commercialized competitively priced electric traction drive system to proliferate the acceptance of HEVs, PHEVs, and FCVs in the market. The desired end result is a technically and commercially verified integrated ETS (Electric Traction System) product design that can be manufactured and distributed through a broad network of competitive suppliers to all auto manufacturers. The objectives of this FCVT program are to develop advanced technologies for an integrated ETS capable of 55kW peak power for 18 seconds and 30kW of continuous power. Additionally, to accommodate a variety of automotive platforms the ETS design should be scalable to 120kW peak power for 18 seconds and 65kW of continuous power. The ETS (exclusive of the DC/DC Converter) is to cost no more than $660 (55kW at $12/kW) to produce in quantities of 100,000 units per year, should have a total weight less than 46kg, and have a volume less than 16 liters. The cost target for the optional Bi-Directional DC/DC Converter is $375. The goal is to achieve these targets with the use of engine coolant at a nominal temperature of 105C. The system efficiency should exceed 90% at 20% of rated torque over 10% to 100% of maximum speed. The nominal operating system voltage is to be 325V, with consideration for higher voltages. This project investigated a wide range of technologies, including ETS topologies, components, and interconnects. Each technology and its validity for automotive use were verified and then these technologies were integrated into a high temperature ETS design that would support a wide variety of applications (fuel cell, hybrids, electrics, and plug-ins). This ETS met all the DOE 2010 objectives of cost, weight, volume and efficiency, and the specific power and power density 2015 objectives. Additionally a bi-directional converter was developed that provides charging and electric power take-off which is the first step towards enabling a smart-grid application. GM under this work assessed 29 technologies; investigated 36 configurations/types power electronics and electric machines, filed 41 invention disclosures; and ensured technology compatibility with vehicle production. Besides the development of a high temperature ETS the development of industrial suppliers took place because of this project. Suppliers of industrial power electronic components are numerous, but there are few that have traction drive knowledge. This makes it difficult to achieve component reliability, durability, and cost requirements necessary of high volume automotive production. The commercialization of electric traction systems for automotive industry requires a strong diverse supplier base. Developing this supplier base is dependent on a close working relationship between the OEM and supplier so that appropriate component requirements can be developed. GM has worked closely with suppliers to develop components for electric traction systems. Components that have been the focus of this project are power modules, capacitors, heavy copper boards, current sensors, and gate drive and controller chip sets. Working with suppliers, detailed component specifications have been developed. Current, voltage, and operation environment during the vehicle drive cycle were evaluated to develop higher resolution/accurate component specifications.

  16. NREL: Transmission Grid Integration - Active Power Controls

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

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  17. NREL: Transmission Grid Integration - Eastern Renewable Generation

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

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  18. NREL: Transmission Grid Integration - FESTIV Model

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

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  19. NREL: Transmission Grid Integration - Generator Modeling

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

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  20. NREL: Transmission Grid Integration - Research Staff

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

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  1. NREL: Transmission Grid Integration - Wholesale Electricity Market

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy Phase

  2. NREL: Transmission Grid Integration - Working With Us

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy

  3. NREL: Transmission Grid Integration Home Page

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudyPhoto of

  4. NREL: Transportation Research - Electric Vehicle Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission PlanningCapabilities

  5. Final report for %22High performance computing for advanced national electric power grid modeling and integration of solar generation resources%22, LDRD Project No. 149016.

    SciTech Connect (OSTI)

    Reno, Matthew J.; Riehm, Andrew Charles; Hoekstra, Robert John; Munoz-Ramirez, Karina; Stamp, Jason Edwin; Phillips, Laurence R.; Adams, Brian M.; Russo, Thomas V.; Oldfield, Ron A.; McLendon, William Clarence, III; Nelson, Jeffrey Scott; Hansen, Clifford W.; Richardson, Bryan T.; Stein, Joshua S.; Schoenwald, David Alan; Wolfenbarger, Paul R.

    2011-02-01T23:59:59.000Z

    Design and operation of the electric power grid (EPG) relies heavily on computational models. High-fidelity, full-order models are used to study transient phenomena on only a small part of the network. Reduced-order dynamic and power flow models are used when analysis involving thousands of nodes are required due to the computational demands when simulating large numbers of nodes. The level of complexity of the future EPG will dramatically increase due to large-scale deployment of variable renewable generation, active load and distributed generation resources, adaptive protection and control systems, and price-responsive demand. High-fidelity modeling of this future grid will require significant advances in coupled, multi-scale tools and their use on high performance computing (HPC) platforms. This LDRD report demonstrates SNL's capability to apply HPC resources to these 3 tasks: (1) High-fidelity, large-scale modeling of power system dynamics; (2) Statistical assessment of grid security via Monte-Carlo simulations of cyber attacks; and (3) Development of models to predict variability of solar resources at locations where little or no ground-based measurements are available.

  6. Sandia Energy - Transmission Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocumentsInstituteThree-DimensionalTransmission Grid

  7. Sandia National Laboratories - Grid Integration Collaborations

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitcheSandian Wins Award inPHOTOVOLTAIC- Grid

  8. Sandia Energy - Transmission Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocumentsInstituteThree-Dimensional

  9. Sandia Energy - Distribution Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatings Initiated at PNNL's SequimReactors ToDecisionDistribution Grid

  10. Request for Comments on the Electric Grid Integration Technical...

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

    Comments on the Electric Grid Integration Technical Workshops Summaries: Federal Register Notice Volume 78, No. 35 - Feb. 21, 2013 Request for Comments on the Electric Grid...

  11. Integration Technology for PHEV-Grid-Connectivity, with Support...

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

    Technology for PHEV-Grid-Connectivity, with Support for SAE Electrical Standards Integration Technology for PHEV-Grid-Connectivity, with Support for SAE Electrical Standards 2010...

  12. NREL: Transmission Grid Integration - Data and Resources

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport Available forVoucherPossibleNewData and

  13. NREL: Transmission Grid Integration - Energy Imbalance Markets

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport Available forVoucherPossibleNewDataEnergy

  14. NREL: Transmission Grid Integration - Hawaii Solar Integration Study

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecasting NREL

  15. NREL: Transmission Grid Integration - Oahu Wind Integration and

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecastingNews The following

  16. NREL: Transmission Grid Integration - Solar Integration National Dataset

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecastingNewsToolkit

  17. NREL: Transmission Grid Integration - Solar Power Data for Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport

  18. NREL: Transmission Grid Integration - Western Wind and Solar Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning and

  19. NREL: Transmission Grid Integration - Western Wind and Solar Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy Phase 2

  20. NREL: Wind Research - Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency VisitSilver Toyota Prius being driven in frontDataGet

  1. Sustainability of Large Deployment of Photovoltaics: Environmental & Grid Integration Research

    E-Print Network [OSTI]

    Ohta, Shigemi

    1 Sustainability of Large Deployment of Photovoltaics: Environmental & Grid Integration Research Sustainability of Large Deployment of Photovoltaics: Environmental & Grid Integration Research www Photovoltaics Environmental Research Center Brookhaven National Laboratory #12;2 Source: PV Market Outlook

  2. Role of Smarter Grids in Variable Renewable Resource Integration (Presentation)

    SciTech Connect (OSTI)

    Miller, M.

    2012-07-01T23:59:59.000Z

    This presentation discusses the role of smarter grids in variable renewable resource integration and references material from a forthcoming ISGAN issue paper: Smart Grid Contributions to Variable Renewable Resource Integration, co-written by the presenter and currently in review.

  3. Sandia Energy » Distribution Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitche This author hasSandia Student Wins Best

  4. Sandia Energy » Transmission Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitche ThisStrategicThirdSandianSandia

  5. Sandia National Laboratories: Advanced Electric Systems

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

    Advanced Electric Systems grid-slide1 grid-slide2 grid-slide3 grid-slide4 Advanced Electric Systems Integrating Renewable Energy into the Electric Grid Why is Grid...

  6. NREL: Transmission Grid Integration - Western Wind and Solar Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy Phase 2Study

  7. ARPA-E: Advancing the Electric Grid

    ScienceCinema (OSTI)

    Lemmon, John; Ruiz, Pablo; Sommerer, Tim; Aziz, Michael

    2014-03-13T23:59:59.000Z

    The electric grid was designed with the assumption that all energy generation sources would be relatively controllable, and grid operators would always be able to predict when and where those sources would be located. With the addition of renewable energy sources like wind and solar, which can be installed faster than traditional generation technologies, this is no longer the case. Furthermore, the fact that renewable energy sources are imperfectly predictable means that the grid has to adapt in real-time to changing patterns of power flow. We need a dynamic grid that is far more flexible. This video highlights three ARPA-E-funded approaches to improving the grid's flexibility: topology control software from Boston University that optimizes power flow, gas tube switches from General Electric that provide efficient power conversion, and flow batteries from Harvard University that offer grid-scale energy storage.

  8. ARPA-E: Advancing the Electric Grid

    SciTech Connect (OSTI)

    Lemmon, John; Ruiz, Pablo; Sommerer, Tim; Aziz, Michael

    2014-02-24T23:59:59.000Z

    The electric grid was designed with the assumption that all energy generation sources would be relatively controllable, and grid operators would always be able to predict when and where those sources would be located. With the addition of renewable energy sources like wind and solar, which can be installed faster than traditional generation technologies, this is no longer the case. Furthermore, the fact that renewable energy sources are imperfectly predictable means that the grid has to adapt in real-time to changing patterns of power flow. We need a dynamic grid that is far more flexible. This video highlights three ARPA-E-funded approaches to improving the grid's flexibility: topology control software from Boston University that optimizes power flow, gas tube switches from General Electric that provide efficient power conversion, and flow batteries from Harvard University that offer grid-scale energy storage.

  9. Semantic-based Grid Resource Discovery and its Integration with the Grid Service Broker

    E-Print Network [OSTI]

    Melbourne, University of

    1 Semantic-based Grid Resource Discovery and its Integration with the Grid Service Broker Thamarai Chromepet, Chennai ­ 600044, India Email : stselvi@annauniv.edu 2 Grid Computing and Distributed Systems :mohanram@cdacb.ernet.in Abstract: This paper addresses the need of semantic component in the grid

  10. Metrics for Assessment of Smart Grid Data Integrity Attacks

    SciTech Connect (OSTI)

    Annarita Giani; Miles McQueen; Russell Bent; Kameshwar Poolla; Mark Hinrichs

    2012-07-01T23:59:59.000Z

    There is an emerging consensus that the nation’s electricity grid is vulnerable to cyber attacks. This vulnerability arises from the increasing reliance on using remote measurements, transmitting them over legacy data networks to system operators who make critical decisions based on available data. Data integrity attacks are a class of cyber attacks that involve a compromise of information that is processed by the grid operator. This information can include meter readings of injected power at remote generators, power flows on transmission lines, and relay states. These data integrity attacks have consequences only when the system operator responds to compromised data by redispatching generation under normal or contingency protocols. These consequences include (a) financial losses from sub-optimal economic dispatch to service loads, (b) robustness/resiliency losses from placing the grid at operating points that are at greater risk from contingencies, and (c) systemic losses resulting from cascading failures induced by poor operational choices. This paper is focused on understanding the connections between grid operational procedures and cyber attacks. We first offer two examples to illustrate how data integrity attacks can cause economic and physical damage by misleading operators into taking inappropriate decisions. We then focus on unobservable data integrity attacks involving power meter data. These are coordinated attacks where the compromised data are consistent with the physics of power flow, and are therefore passed by any bad data detection algorithm. We develop metrics to assess the economic impact of these attacks under re-dispatch decisions using optimal power flow methods. These metrics can be use to prioritize the adoption of appropriate countermeasures including PMU placement, encryption, hardware upgrades, and advance attack detection algorithms.

  11. A Grid Resource Broker Supporting Advance Reservations and

    E-Print Network [OSTI]

    Elmroth, Erik

    for resource selection. Based on the user's identification of relevant benchmarks and an estimated executionA Grid Resource Broker Supporting Advance Reservations and Benchmark-Based Resource Selection Erik of the resource manager include advance reservations, resource selection based on computer benchmark results

  12. Advancing Smart Grid Interoperability and Implementing NIST's Interoperability Roadmap

    SciTech Connect (OSTI)

    Basso,T.; DeBlasio, R.

    2010-04-01T23:59:59.000Z

    The IEEE American National Standards project P2030TM addressing smart grid interoperability and the IEEE 1547 series of standards addressing distributed resources interconnection with the grid have been identified in priority action plans in the Report to NIST on the Smart Grid Interoperability Standards Roadmap. This paper presents the status of the IEEE P2030 development, the IEEE 1547 series of standards publications and drafts, and provides insight on systems integration and grid infrastructure. The P2030 and 1547 series of standards are sponsored by IEEE Standards Coordinating Committee 21.

  13. Electric Vehicle Grid Integration for Sustainable Military Installations (Presentation)

    SciTech Connect (OSTI)

    Simpson, M.

    2011-05-05T23:59:59.000Z

    This presentation discusses electric vehicle grid integration for sustainable military installations. Fort Carson Military Reservation in Colorado Springs is used as a case study.

  14. Integration of Distributed Energy The CERTS MicroGrid Concept

    E-Print Network [OSTI]

    Resources The MicroGrid Concept Appendices Prepared for Transmission Reliability Program Office of PowerIntegration of Distributed Energy Resources The CERTS MicroGrid Concept CALIFORNIA ENERGY;Preface The U.S. Electricity Grid Today The U.S. electric power system is in the midst of a fundamental

  15. A Middleware Substrate for Integrating Services on the Grid

    E-Print Network [OSTI]

    Daniels, Jeffrey J.

    A Middleware Substrate for Integrating Services on the Grid Viraj Bhat and Manish Parashar://www.caip.rutgers.edu/TASSL Abstract. In this paper we present the design, implementation and evaluation of the Grid-enabled Discover middleware substrate. The mid- dleware substrate enables Grid infrastructure services provided by the Globus

  16. Power Grid Voltage Integrity Verification Department of ECE

    E-Print Network [OSTI]

    Najm, Farid N.

    Power Grid Voltage Integrity Verification Maha Nizam Department of ECE University of Toronto devgan@magma-da.com ABSTRACT Full-chip verification requires one to check if the power grid is safe, i.e., if the voltage drop on the grid does not exceed a cer- tain threshold. The traditional simulation-based solution

  17. High-Performance Computing for Advanced Smart Grid Applications

    SciTech Connect (OSTI)

    Huang, Zhenyu; Chen, Yousu

    2012-07-06T23:59:59.000Z

    The power grid is becoming far more complex as a result of the grid evolution meeting an information revolution. Due to the penetration of smart grid technologies, the grid is evolving as an unprecedented speed and the information infrastructure is fundamentally improved with a large number of smart meters and sensors that produce several orders of magnitude larger amounts of data. How to pull data in, perform analysis, and put information out in a real-time manner is a fundamental challenge in smart grid operation and planning. The future power grid requires high performance computing to be one of the foundational technologies in developing the algorithms and tools for the significantly increased complexity. New techniques and computational capabilities are required to meet the demands for higher reliability and better asset utilization, including advanced algorithms and computing hardware for large-scale modeling, simulation, and analysis. This chapter summarizes the computational challenges in smart grid and the need for high performance computing, and present examples of how high performance computing might be used for future smart grid operation and planning.

  18. Transmission and Grid Integration: Electricity, Resources, & Building Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-09-01T23:59:59.000Z

    Factsheet developed to describe the activites of the Transmission and Grid Integration Group within NREL's Electricity, Resources, and Buildings Systems Integration center.

  19. Advanced Low Temperature Absorption Chiller Module Integrated...

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

    Advanced Low Temperature Absorption Chiller Module Integrated with a CHP System at a Distributed Data Center - Presentation by Exergy Partners Corp., June 2011 Advanced Low...

  20. Smart Grid Savings and Grid Integration of Renewables in Idaho

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski - PolicyWork Force withNonprofit---5---12DOESmartthe 1 Smart Grid

  1. RETHINKING THE FUTURE GRID: INTEGRATED NUCLEAR-RENEWABLE ENERGY SYSTEMS

    SciTech Connect (OSTI)

    S.M. Bragg-Sitton; R. Boardman

    2014-12-01T23:59:59.000Z

    The 2013 electricity generation mix in the United States consisted of ~13% renewables (hydropower, wind, solar, geothermal), 19% nuclear, 27% natural gas, and 39% coal. In the 2011 State of the Union Address, President Obama set a clean energy goal for the nation: “By 2035, 80 percent of America’s electricity will come from clean energy sources. Some folks want wind and solar. Others want nuclear, clean coal and natural gas. To meet this goal we will need them all.” The U.S. Department of Energy (DOE) Offices of Nuclear Energy (NE) and Energy Efficiency and Renewable Energy (EERE) recognize that “all of the above” means that we are called to best utilize all available clean energy sources. To meet the stated environmental goals for electricity generation and for the broader energy sector, there is a need to transform the energy infrastructure of the U.S. and elsewhere. New energy systems must be capable of significantly reducing environmental impacts in an efficient and economically viable manner while utilizing both hydrocarbon resources and clean energy generation sources. The U.S. DOE is supporting research and development that could lead to more efficient utilization of clean energy generation sources, including renewable and nuclear options, to meet both grid demand and thermal energy needs in the industrial sector. A concept being advanced by the DOE-NE and DOE-EERE is tighter coupling of nuclear and renewable energy sources in a manner that better optimizes energy use for the combined electricity, industrial manufacturing, and the transportation sectors. This integration concept has been referred to as a “hybrid system” that is capable of apportioning thermal and electrical energy to first meet the grid demand (with appropriate power conversion systems), then utilizing excess thermal and, in some cases, electrical energy to drive a process that results in an additional product. For the purposes of the present work, the hybrid system would integrate two or more energy resources to generate two or more products, one of which must be an energy commodity, such as electricity or transportation fuel. Subsystems would be integrated ‘‘behind’’ the electrical transmission bus and would be comprised of two or more energy conversion subsystems that have traditionally been separate or isolated. Energy flows would be dynamically apportioned as necessary to meet grid demand via a single, highly responsive connection to the grid that provides dispatchable electricity while capital-intensive generation assets operate at full capacity. Candidate region-specific hybrid energy systems selected for further study and figures of merit that will be used to assess system performance will be presented.

  2. Sandia National Laboratories: transmission grid integration

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

    grid relies on power transmission from the production source-be it a coal-fired plant, solar array, or wind farm-to the consumer. Long-distance transmission results in...

  3. Grid Integration of Aggregated Demand Response, Part I: Load Availability

    E-Print Network [OSTI]

    LBNL-6417E Grid Integration of Aggregated Demand Response, Part I: Load Availability Profiles Resources 4 #12;#12;#12;CHAPTER 3: Results: DR Profiles 3.1 Projected Demand Response Availability in 2020

  4. Communication Systems for Grid Integration of Renewable Energy Resources

    E-Print Network [OSTI]

    Yu, F Richard; Xiao, Weidong; Choudhury, Paul

    2011-01-01T23:59:59.000Z

    There is growing interest in renewable energy around the world. Since most renewable sources are intermittent in nature, it is a challenging task to integrate renewable energy resources into the power grid infrastructure. In this grid integration, communication systems are crucial technologies, which enable the accommodation of distributed renewable energy generation and play extremely important role in monitoring, operating, and protecting both renewable energy generators and power systems. In this paper, we review some communication technologies available for grid integration of renewable energy resources. Then, we present the communication systems used in a real renewable energy project, Bear Mountain Wind Farm (BMW) in British Columbia, Canada. In addition, we present the communication systems used in Photovoltaic Power Systems (PPS). Finally, we outline some research challenges and possible solutions about the communication systems for grid integration of renewable energy resources.

  5. Rethinking the Future Grid: Integrated Nuclear Renewable Energy...

    Office of Scientific and Technical Information (OSTI)

    Rethinking the Future Grid: Integrated Nuclear Renewable Energy Systems: Preprint Re-direct Destination: The U.S. DOE is supporting research and development that could lead to more...

  6. NREL: Transmission Grid Integration - Issues Affecting Renewable Energy

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecasting NRELIntegration

  7. NREL: Transmission Grid Integration - NREL Study Indicates Economic

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecasting

  8. NREL: Transmission Grid Integration - Transmission Planning and Analysis

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning and Analysis Thumbnail

  9. Market-Based Indian Grid Integration Study Options: Preprint

    SciTech Connect (OSTI)

    Stoltenberg, B.; Clark, K.; Negi, S. K.

    2012-03-01T23:59:59.000Z

    The Indian state of Gujarat is forecasting solar and wind generation expansion from 16% to 32% of installed generation capacity by 2015. Some states in India are already experiencing heavy wind power curtailment. Understanding how to integrate variable generation (VG) into the grid is of great interest to local transmission companies and India's Ministry of New and Renewable Energy. This paper describes the nature of a market-based integration study and how this approach, while new to Indian grid operation and planning, is necessary to understand how to operate and expand the grid to best accommodate the expansion of VG. Second, it discusses options in defining a study's scope, such as data granularity, generation modeling, and geographic scope. The paper also explores how Gujarat's method of grid operation and current system reliability will affect how an integration study can be performed.

  10. Solar Grid Integration Industrial Research Perspectives

    E-Print Network [OSTI]

    Homes, Christopher C.

    with 25 inverters) Substation 1 Substation 2 Solar Power Generation Wind Generation 100 MW Wide variety of power levels and grid connections #12;5 Presenter and Event 3/30/2011 PV Generation Segmentation 1 and Event 3/30/2011 Essential PV power plant features Reliable power conversion Extensive service network

  11. Financing Advanced Biofuels, Biochemicals And Biopower In Integrated...

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

    Financing Advanced Biofuels, Biochemicals And Biopower In Integrated Biorefineries Financing Advanced Biofuels, Biochemicals And Biopower In Integrated Biorefineries Afternoon...

  12. Protecting Patients, Preserving Integrity, Advancing Health

    E-Print Network [OSTI]

    Chapman, Michael S.

    values of protecting the integrity of their research, the well being of the human subjects whoProtecting Patients, Preserving Integrity, Advancing Health: Accelerating the Implementation of COI of Interest in Human Subjects Research February 2008 #12;Protecting Patients, Preserving Integrity, Advancing

  13. Integrated modeling of the electric grid, communications, and control

    SciTech Connect (OSTI)

    Nutaro, James J [ORNL; Miller, Laurie E [ORNL; Shankar, Mallikarjun [ORNL; Kuruganti, Phani Teja [ORNL

    2006-01-01T23:59:59.000Z

    We present a central concern in modeling and simulating electric grids and the information infrastructure that monitors and controls them: hybrid modeling and simulation. We argue that imminent modernizations and new technologies will require a joint (hybrid) modeling of the continuous world of power systems and the discrete world of events sparked by external contingencies, and by communication, computation, and control operations. The power systems community requires methods to model and simulate hybrid scenarios for systems as large and complex as the electric grid. We discuss an approach based on DEVS and present a scenario in which the integrated information and electric grid infrastructures address a frequency maintenance problem.

  14. Integrating Grid Services into the Cray XT4 Environment

    SciTech Connect (OSTI)

    NERSC; Cholia, Shreyas; Lin, Hwa-Chun Wendy

    2009-05-01T23:59:59.000Z

    The 38640 core Cray XT4"Franklin" system at the National Energy Research Scientific Computing Center (NERSC) is a massively parallel resource available to Department of Energy researchers that also provides on-demand grid computing to the Open Science Grid. The integration of grid services on Franklin presented various challenges, including fundamental differences between the interactive and compute nodes, a stripped down compute-node operating system without dynamic library support, a shared-root environment and idiosyncratic application launching. Inour work, we describe how we resolved these challenges on a running, general-purpose production system to provide on-demand compute, storage, accounting and monitoring services through generic grid interfaces that mask the underlying system-specific details for the end user.

  15. Smart Grid Integrity Attacks: Characterizations and Countermeasures

    SciTech Connect (OSTI)

    Annarita Giani; Eilyan Bitar; Miles McQueen; Pramod Khargonekar; Kameshwar Poolla

    2011-10-01T23:59:59.000Z

    Real power injections at loads and generators, and real power flows on selected lines in a transmission network are monitored, transmitted over a SCADA network to the system operator, and used in state estimation algorithms to make dispatch, re-balance and other energy management system [EMS] decisions. Coordinated cyber attacks of power meter readings can be arranged to be undetectable by any bad data detection algorithm. These unobservable attacks present a serious threat to grid operations. Of particular interest are sparse attacks that involve the compromise of a modest number of meter readings. An efficient algorithm to find all unobservable attacks [under standard DC load flow approximations] involving the compromise of exactly two power injection meters and an arbitrary number of power meters on lines is presented. This requires O(n2m) flops for a power system with n buses and m line meters. If all lines are metered, there exist canonical forms that characterize all 3, 4, and 5-sparse unobservable attacks. These can be quickly detected in power systems using standard graph algorithms. Known secure phase measurement units [PMUs] can be used as countermeasures against an arbitrary collection of cyber attacks. Finding the minimum number of necessary PMUs is NP-hard. It is shown that p + 1 PMUs at carefully chosen buses are sufficient to neutralize a collection of p cyber attacks.

  16. Integration of Smart Home Data with Simulated Smart Grid

    E-Print Network [OSTI]

    Collins, Gary S.

    Integration of Smart Home Data with Simulated Smart Grid Introduction Data was generated using The Energy Detective (TED 5000) Data was exported to then to the RTDS Data from the smart home lab from smart home to simulate real-life scenario Real Time Digital Simulator (RTDS) RTDS is a real time

  17. NREL: Wind Research - Grid Integration of Offshore Wind

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photo ofResearchFAST Revs Up

  18. Agent-Grid Integration Ontology Frederic Duvert, Clement Jonquet, Pascal Dugenie, and Stefano A. Cerri

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Agent-Grid Integration Ontology Frederic Duvert, Clement Jonquet, Pascal Dugenie, and Stefano A, jonquet, dugenie, cerri}@lirmm.fr Abstract. The integration of GRID and MAS (Multi-Agents Systems) is an active research topic. We have recently proposed the Agent-Grid Integration Lan- guage, to describe

  19. An integrated security framework for GOSS power grid analytics platform

    SciTech Connect (OSTI)

    Gibson, Tara D.; Ciraci, Selim; Sharma, Poorva; Allwardt, Craig H.; Rice, Mark J.; Akyol, Bora A.

    2014-06-23T23:59:59.000Z

    In power grid operations, security is an essential component for any middleware platform. Security protects data against unwanted access as well as cyber attacks. GridOpticsTM Software System (GOSS) is an open source power grid analytics platform that facilitates ease of access between applications and data sources and promotes development of advanced analytical applications. GOSS contains an API that abstracts many of the difficulties in connecting to various heterogeneous data sources. A number of applications and data sources have already been implemented to demonstrate functionality and ease of use. A security framework has been implemented which leverages widely accepted, robust JavaTM security tools in a way such that they can be interchanged as needed. This framework supports the complex fine-grained, access control rules identified for the diverse data sources already in GOSS. Performance and reliability are also important considerations in any power grid architecture. An evaluation is done to determine the overhead cost caused by security within GOSS and ensure minimal impact to performance.

  20. Articles about Grid Integration and Transmission | Department of Energy

    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 DataEnergyDepartment ofATVMAgriculturalAn1(BENEFIT)Grid Integration and

  1. Advanced Integrated Electric Traction System

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

    Integrated Electric Traction System Greg S. Smith Email: gregory.3.smith@gm.com Phone: (310) 257-3812 Organization: General Motors Team members: Ames Laboratory Arnold Magnetics...

  2. Sandia Energy - Smart Grid Technologies

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

    reliability, efficiency, flexibility, and cost effectiveness. Smart-grid features include demand-response capabilities, advanced controls, DER integration, increased situational...

  3. Advancing Energy Systems through Integration

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

    Oil 30 ever-greenenergy.com Ever-Green Energy Integrated Energy System Questions? Ken Smith, President and CEO ken.smith@ever-greenenergy.com www.districtenergy.com...

  4. Integration of Computing and Information on Grids Geoffrey Fox

    E-Print Network [OSTI]

    by Fran Berman, Tony Hey and myself. (http://www.grid2002.org/ ) · Grids support e-Science representing

  5. GridOPTICS(TM) A Novel Software Framework for Integrating Power Grid Data Storage, Management and Analysis

    SciTech Connect (OSTI)

    Gorton, Ian; Yin, Jian; Akyol, Bora A.; Ciraci, Selim; Critchlow, Terence; Liu, Yan; Gibson, Tara D.; Purohit, Sumit; Sharma, Poorva; Vlachopoulou, Maria

    2013-01-09T23:59:59.000Z

    This paper describes the architecture and design of GridOPTICSTM, a novel software framework to integrate a collection of software tools developed by PNNL’s Future Power Grid Initiative (FPGI) into a coherent, powerful operations and planning tool for the power grid of the future. GridOPTICSTM enables plug-and-play of various analysis, modeling and visualization software tools for fast and accurate control of the power grid. To bridge the data access for different control purposes, GridOPTICSTM provides a scalable and thin layer of event processing that hides the complexity of data storage and management. The initial prototype of GridOPTICSTM was demonstrated with several use cases from PNNL’s FPGI.

  6. Rethinking the Future Grid: Integrated Nuclear Renewable Energy Systems: Preprint

    SciTech Connect (OSTI)

    Bragg-Sitton, S. M.; Boardman, R.; Ruth, M.; Zinaman, O.; Forsberg, C.

    2015-01-01T23:59:59.000Z

    The U.S. DOE is supporting research and development that could lead to more efficient utilization of clean energy generation sources, including renewable and nuclear options, to meet both grid demand and thermal energy needs in the industrial sector. One concept under consideration by the DOE-NE and DOE-EERE is tighter coupling of nuclear and renewable energy sources in a manner that better optimizes energy use for the combined electricity, industrial manufacturing, and transportation sectors. This integration concept has been referred to as a 'hybrid system' that is capable of apportioning thermal and electrical energy to first meet the grid demand (with appropriate power conversion systems), then utilizing excess thermal and, in some cases, electrical energy to drive a process that results in an additional product.

  7. 2014 Advanced Grid Modeling Peer Review Presentations - Day One...

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

    Measurement-Based Tools For Proactive Operator Decision-Support - Alberto Del Rosso, EPRI Dynamic Paradigm for Grid Operations - Henry Huang, PNNL Development of Dynamic Models...

  8. 2014 Advanced Grid Modeling Peer Review Presentations - Day One...

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

    Function Based Remedial Action Screening Tool Using Real-Time Data - Joydeep Mitra, Michigan State University Next Generation Data Grid Architecture - Arjun Shankar, UTK,...

  9. 2014 Advanced Grid Modeling Peer Review Presentations - Day Two...

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

    Power Grid Optimization under Uncertainty: Formulations, Algorithms, and High-Performance Computing - Victor Zavala, ANL, Jianhui Wang, ANL Chance-constrained OPF and Unit...

  10. NREL: Transmission Grid Integration - Western Wind and Solar Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency Visit |InfrastructureAerialWork-for-OthersStudy

  11. Efficient and Secure Wireless Communications for Advanced Metering Infrastructure in Smart Grids

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    1 Efficient and Secure Wireless Communications for Advanced Metering Infrastructure in Smart Grids metering infrastructure (AMI) [3] is a key task in smart grid [6] [4]. In such a system, each power user is equipped with a smart meter with the capability of two- way communications, which can monitor the power

  12. Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design

    E-Print Network [OSTI]

    Wong, Vincent

    meter. All smart meters are connected to not only the power grid but also a communication infrastructure. This allows two-way communication among smart meters and the utility company. We analytically model each user1 Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design Pedram Samadi

  13. 2014 Advanced Grid Modeling Peer Review Presentations - Day Two...

    Office of Environmental Management (EM)

    with Advanced Computing - Yousu Chen, PNNL Advancing the Adoption of High Performance Computing for Time Domain Simulation - Liang Min, LLNL, Carol Woodward, LLNL An...

  14. The Role of Smart Grids in Integrating Renewable Energy

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in the Earth's LowerFacilityThe ResearchDepartment

  15. 2014-09-30 Issuance: Buildings-to-Grid Integration and Related...

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

    09-30 Issuance: Buildings-to-Grid Integration and Related Areas of Research; Notice of Availability and Request for Public Comment 2014-09-30 Issuance: Buildings-to-Grid...

  16. Solar energy grid integration systems : final report of the Florida Solar Energy Center Team.

    SciTech Connect (OSTI)

    Ropp, Michael (Northern Plains Power Technologies, Brookings, SD); Gonzalez, Sigifredo; Schaffer, Alan (Lakeland Electric Utilities, Lakeland, FL); Katz, Stanley (Satcon Technology Corporation, Boston, MA); Perkinson, Jim (Satcon Technology Corporation, Boston, MA); Bower, Ward Isaac; Prestero, Mark (Satcon Technology Corporation, Boston, MA); Casey, Leo (Satcon Technology Corporation, Boston, MA); Moaveni, Houtan (Florida Solar Energy Center of the University of Central Florida, Cocoa, FL); Click, David (Florida Solar Energy Center of the University of Central Florida, Cocoa, FL); Davis, Kristopher (Florida Solar Energy Center of the University of Central Florida, Cocoa, FL); Reedy, Robert (Florida Solar Energy Center of the University of Central Florida, Cocoa, FL); Kuszmaul, Scott S.; Sena-Henderson, Lisa; David, Carolyn; Akhil, Abbas Ali

    2012-03-01T23:59:59.000Z

    Initiated in 2008, the Solar Energy Grid Integration Systems (SEGIS) program is a partnership involving the U.S. DOE, Sandia National Laboratories, private sector companies, electric utilities, and universities. Projects supported under the program have focused on the complete-system development of solar technologies, with the dual goal of expanding utility-scale penetration and addressing new challenges of connecting large-scale solar installations in higher penetrations to the electric grid. The Florida Solar Energy Center (FSEC), its partners, and Sandia National Laboratories have successfully collaborated to complete the work under the third and final stage of the SEGIS initiative. The SEGIS program was a three-year, three-stage project that include conceptual design and market analysis in Stage 1, prototype development and testing in Stage 2, and moving toward commercialization in Stage 3. Under this program, the FSEC SEGIS team developed a comprehensive vision that has guided technology development that sets one methodology for merging photovoltaic (PV) and smart-grid technologies. The FSEC team's objective in the SEGIS project is to remove barriers to large-scale general integration of PV and to enhance the value proposition of photovoltaic energy by enabling PV to act as much as possible as if it were at the very least equivalent to a conventional utility power plant. It was immediately apparent that the advanced power electronics of these advanced inverters will go far beyond conventional power plants, making high penetrations of PV not just acceptable, but desirable. This report summarizes a three-year effort to develop, validate and commercialize Grid-Smart Inverters for wider photovoltaic utilization, particularly in the utility sector.

  17. Integrating Grid Services into the Cray XT4 Environment

    E-Print Network [OSTI]

    Cholia, Shreyas

    2010-01-01T23:59:59.000Z

    with the system side of the grid work. Before joining NERSC,Franklin login node for grid access. This will simplify thethe feasibility of grid VO based project accounts to share

  18. Advanced Security Acceleration Project for Smart Grid (ASAP-SG...

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

    Security Acceleration Project for Smart Grid (ASAP-SG) June 12, 2013 Problem Statement: The goal of this project is to develop a set of computer and network security requirements...

  19. GridBank: A Grid Accounting Services Architecture (GASA) for Distributed Systems Sharing and Integration

    E-Print Network [OSTI]

    Buyya, Rajkumar

    GridBank: A Grid Accounting Services Architecture (GASA) for Distributed Systems Sharing Australia Nedlands, Western Australia, 6009 barmouta@csse.uwa.edu.au Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Lab Dept. of Computer Science and Software Engineering The University of Melbourne

  20. An Advanced Framework for Improving Situational Awareness in Electric Power Grid Operation

    SciTech Connect (OSTI)

    Chen, Yousu; Huang, Zhenyu; Zhou, Ning

    2011-10-17T23:59:59.000Z

    With the deployment of new smart grid technologies and the penetration of renewable energy in power systems, significant uncertainty and variability is being introduced into power grid operation. Traditionally, the Energy Management System (EMS) operates the power grid in a deterministic mode, and thus will not be sufficient for the future control center in a stochastic environment with faster dynamics. One of the main challenges is to improve situational awareness. This paper reviews the current status of power grid operation and presents a vision of improving wide-area situational awareness for a future control center. An advanced framework, consisting of parallel state estimation, state prediction, parallel contingency selection, parallel contingency analysis, and advanced visual analytics, is proposed to provide capabilities needed for better decision support by utilizing high performance computing (HPC) techniques and advanced visual analytic techniques. Research results are presented to support the proposed vision and framework.

  1. Integration of Advanced Materials and Interfaces for Durable...

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

    Advanced Materials and Interfaces for Durable Thermoelectric Automobile Exhaust Waste Heat Harvesting Devices Integration of Advanced Materials and Interfaces for Durable...

  2. Solar Energy Grid Integration Systems -- Energy Storage (SEGIS-ES).

    SciTech Connect (OSTI)

    Hanley, Charles J.; Ton, Dan T. (U.S. Department of Energy, Washington, D.C.); Boyes, John D.; Peek, Georgianne Huff

    2008-07-01T23:59:59.000Z

    This paper describes the concept for augmenting the SEGIS Program (an industry-led effort to greatly enhance the utility of distributed PV systems) with energy storage in residential and small commercial applications (SEGIS-ES). The goal of SEGIS-ES is to develop electrical energy storage components and systems specifically designed and optimized for grid-tied PV applications. This report describes the scope of the proposed SEGIS-ES Program and why it will be necessary to integrate energy storage with PV systems as PV-generated energy becomes more prevalent on the nation's utility grid. It also discusses the applications for which energy storage is most suited and for which it will provide the greatest economic and operational benefits to customers and utilities. Included is a detailed summary of the various storage technologies available, comparisons of their relative costs and development status, and a summary of key R&D needs for PV-storage systems. The report concludes with highlights of areas where further PV-specific R&D is needed and offers recommendations about how to proceed with their development.

  3. 2014 Advanced Grid Modeling Program Peer Review Presentations...

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

    Modeling Research Program leverages scientific research in mathematics for application to power system models and software tools. 17 projects were presented at the 2014 Advanced...

  4. Vortex Hydro Energy (TRL 5 6 System) - Advanced Integration of...

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

    Vortex Hydro Energy (TRL 5 6 System) - Advanced Integration of Power Take-Off in VIVACE Vortex Hydro Energy (TRL 5 6 System) - Advanced Integration of Power Take-Off in VIVACE...

  5. Center for Advanced Design & Manufacturing of Integrated Microfluidics (CADMIM)

    E-Print Network [OSTI]

    Mease, Kenneth D.

    Center for Advanced Design & Manufacturing of Integrated Microfluidics (CADMIM) Mission Statement: The Center for Advanced Design and Manufacturing of Integrated Microfluidics will develop design tools microfluidics targeting costeffective, quick, and easy diagnosis of the environment, agriculture, and human

  6. European Hydrogen Energy Conference, Maastricht, 18 -22 June 2007 Hydrogen for Grid Integration

    E-Print Network [OSTI]

    Heinemann, Detlev

    that an increasing need for balancing power will result from the advent of large offshore wind parks in the North Sea Integration HYDROGEN AS A MEANS TO CONTROL AND INTEGRATE WIND POWER INTO ELECTRICITY GRIDS Robert Steinberger of wind energy into electricity grids will pose future challenges as the levels of production rise, power

  7. Smart Grid Newsletter ? The Regulators Role in Grid Modernization...

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

    of the Smart Grid by providing them with information, control and options. AMI includes smart meters for advanced measurement, an integrated two- way communications...

  8. Integrated Retail and Wholesale (IRW) Power System Operations with Smart-Grid Functionality

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Integrated Retail and Wholesale (IRW) Power System Operations with Smart-Grid Functionality Leigh of the Integrated Retail/Wholesale (IRW) project at Iowa State University · IRW Test Bed development · Integration-NE, MISO, XM, RTE, MEC IRW Project: Integrated Retail/Wholesale Power System Operation with Smart

  9. Grid Resource Brokering Algorithms Enabling Advance Reservations and Resource Selection Based on Performance Predictions

    E-Print Network [OSTI]

    Elmroth, Erik

    and an estimated execution time on some spec- ified resource, the broker estimates the execution time for all resources of interest. This requires that a relevant set of benchmark results are available fromGrid Resource Brokering Algorithms Enabling Advance Reservations and Resource Selection Based

  10. Jeudi 3 octobre 2013 Grid integration of REN

    E-Print Network [OSTI]

    Canet, Léonie

    of Smartgrids Nouredine Hadjsaid, Grenoble INP/ENSE3, laboratoire G2ELAB, CNRS #12;MV/LV 20kV/400V HV/MV 63kV/20 de distribution Opérateur Système Production Transport Distribution SmartGrids Evolution: Value chain and implication SmartGrids value chain Interface des c Interface des c #12;Tools for managing complexity ICT

  11. Advanced Modeling Grid Research Program | Department of Energy

    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 DataEnergyDepartment ofATVM LoanActiveMission »Advanced Modeling

  12. Grid Integration and the Carrying Capacity of the U.S. Grid to Incorporate Variable Renewable Energy

    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 DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGrid Integration and the Carrying Capacity of the U.S. Grid

  13. Integrated Retail and Wholesale Power System Operation with Smart-Grid Functionality

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Integrated Retail and Wholesale Power System Operation with Smart-Grid Functionality Dionysios of retail and wholesale power markets operating over transmission and distribution networks with smart-grid functionality. This test bed seams together two existing test beds, the AMES Wholesale Power Market Test Bed

  14. ECE 437/537 -Smart Grid Catalog Description: Fundamentals of smart power grids. Technology advances in transmission

    E-Print Network [OSTI]

    . · Smart generation. Energy storage. Microgrids. · Substation intelligence. · Transmission systems. PhasorECE 437/537 - Smart Grid Catalog Description: Fundamentals of smart power grids. Technology Cotilla-Sanchez Course content: · Introduction to smart power grids. Technology and policy background

  15. Integration of decentralized generators with the electric power grid

    E-Print Network [OSTI]

    Finger, Susan

    1981-01-01T23:59:59.000Z

    This report develops a new methodology for studying the economic interaction of customer-owned electrical generators with the central electric power grid. The purpose of the report is to study the reciprocal effects of the ...

  16. Integrated CHP/Advanced Reciprocating Internal Combustion Engine...

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

    restrictions. Integrated Combined Heat and PowerAdvanced Reciprocating Internal Combustion Engine System for Landfill Gas to Power Applications More Documents & Publications...

  17. Advanced Variable Speed Air-Source Integrated Heat Pump 2013...

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

    Pump 2013 Peer Review Advanced Variable Speed Air-Source Integrated Heat Pump 2013 Peer Review Emerging Technologies Project for the 2013 Building Technologies Office's Program...

  18. The Advanced Microgrid: Integration and Integration and Interoperabili...

    Office of Environmental Management (EM)

    standards activities. It complements workshop reports and information provided by OE's Smart Grid R&D Program and other microgrid conference proceedings. With their...

  19. ISOGA: Integrated Services Optical Grid Architecture for Emerging E-Science Collaborative Applications

    SciTech Connect (OSTI)

    Oliver Yu

    2008-11-28T23:59:59.000Z

    This final report describes the accomplishments in the ISOGA (Integrated Services Optical Grid Architecture) project. ISOGA enables efficient deployment of existing and emerging collaborative grid applications with increasingly diverse multimedia communication requirements over a wide-area multi-domain optical network grid; and enables collaborative scientists with fast retrieval and seamless browsing of distributed scientific multimedia datasets over a wide-area optical network grid. The project focuses on research and development in the following areas: the polymorphic optical network control planes to enable multiple switching and communication services simultaneously; the intelligent optical grid user-network interface to enable user-centric network control and monitoring; and the seamless optical grid dataset browsing interface to enable fast retrieval of local/remote dataset for visualization and manipulation.

  20. Interim Test Procedures for Evaluating Electrical Performance and Grid Integration of Vehicle-to-Grid Applications

    SciTech Connect (OSTI)

    Chakraborty, S.; Kramer, W.; Kroposki, B.; Martin, G.; McNutt, P.; Kuss, M.; Markel, T.; Hoke, A.

    2011-06-01T23:59:59.000Z

    The objective of this report is to provide a test plan for V2G testing. The test plan is designed to test and evaluate the vehicle's power electronics capability to provide power to the grid, and to evaluate the vehicle's ability to connect and disconnect from the utility according to a subset of the IEEE Std. 1547 tests.

  1. A Multi-layer, Data-driven Advanced Reasoning Tool for Intelligent Data Mining and Analysis for Smart Grids

    SciTech Connect (OSTI)

    Lu, Ning; Du, Pengwei; Greitzer, Frank L.; Guo, Xinxin; Hohimer, Ryan E.; Pomiak, Yekaterina G.

    2012-12-31T23:59:59.000Z

    This paper presents the multi-layer, data-driven advanced reasoning tool (M-DART), a proof-of-principle decision support tool for improved power system operation. M-DART will cross-correlate and examine different data sources to assess anomalies, infer root causes, and anneal data into actionable information. By performing higher-level reasoning “triage” of diverse data sources, M-DART focuses on early detection of emerging power system events and identifies highest priority actions for the human decision maker. M-DART represents a significant advancement over today’s grid monitoring technologies that apply offline analyses to derive model-based guidelines for online real-time operations and use isolated data processing mechanisms focusing on individual data domains. The development of the M-DART will bridge these gaps by reasoning about results obtained from multiple data sources that are enabled by the smart grid infrastructure. This hybrid approach integrates a knowledge base that is trained offline but tuned online to capture model-based relationships while revealing complex causal relationships among data from different domains.

  2. Solar Electric Grid Integration - Advanced Concepts (SEGIS-AC) Funding

    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 onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of Energy Ready,SmartEnergy Opening

  3. 2014 WIND POWER PROGRAM PEER REVIEW-ADVANCED GRID INTEGRATION

    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 DataDepartment of Energy Your Density Isn't Your Destiny: The Future of BadTHEEnergy VehicleSessionOffice44Department

  4. Solar Energy Grid Integration Systems-Advanced Concepts | Department of

    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 JC3 RSS September 9,AwardGradsSites Pending Transfer toSocialGlossary Solar

  5. Quantifiably secure power grid operation, management, and evolution : a study of uncertainties affecting the grid integration of renewables.

    SciTech Connect (OSTI)

    Gray, Genetha Anne; Watson, Jean-Paul [Sandia National Laboratories, Albuquerque, NM; Silva Monroy, Cesar Augusto [Sandia National Laboratories, Albuquerque, NM; Gramacy, Robert B. [University of Chicago, Chicago, IL

    2013-09-01T23:59:59.000Z

    This report summarizes findings and results of the Quantifiably Secure Power Grid Operation, Management, and Evolution LDRD. The focus of the LDRD was to develop decisionsupport technologies to enable rational and quantifiable risk management for two key grid operational timescales: scheduling (day-ahead) and planning (month-to-year-ahead). Risk or resiliency metrics are foundational in this effort. The 2003 Northeast Blackout investigative report stressed the criticality of enforceable metrics for system resiliency - the grid's ability to satisfy demands subject to perturbation. However, we neither have well-defined risk metrics for addressing the pervasive uncertainties in a renewable energy era, nor decision-support tools for their enforcement, which severely impacts efforts to rationally improve grid security. For day-ahead unit commitment, decision-support tools must account for topological security constraints, loss-of-load (economic) costs, and supply and demand variability - especially given high renewables penetration. For long-term planning, transmission and generation expansion must ensure realized demand is satisfied for various projected technological, climate, and growth scenarios. The decision-support tools investigated in this project paid particular attention to tailoriented risk metrics for explicitly addressing high-consequence events. Historically, decisionsupport tools for the grid consider expected cost minimization, largely ignoring risk and instead penalizing loss-of-load through artificial parameters. The technical focus of this work was the development of scalable solvers for enforcing risk metrics. Advanced stochastic programming solvers were developed to address generation and transmission expansion and unit commitment, minimizing cost subject to pre-specified risk thresholds. Particular attention was paid to renewables where security critically depends on production and demand prediction accuracy. To address this concern, powerful filtering techniques for spatio-temporal measurement assimilation were used to develop short-term predictive stochastic models. To achieve uncertaintytolerant solutions, very large numbers of scenarios must be simultaneously considered. One focus of this work was investigating ways of reasonably reducing this number.

  6. Department of Energy Announces $8.5 Million to Advance Solar...

    Office of Environmental Management (EM)

    8.5 Million to Advance Solar Energy Grid Integration Systems Department of Energy Announces 8.5 Million to Advance Solar Energy Grid Integration Systems September 7, 2010 -...

  7. NREL's Grid Integration Lab Nominated for Prestigious Project...

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

    for Prestigious Project Management Award November 3, 2014 - 11:48am Addthis The new Energy Systems Integration Facility (ESIF) at the Energy Departments National...

  8. FURTHER ADVANCES IN THE INTEGRATED STRUCTURAL OPTIMIZATION SYSTEM (ISOS)

    E-Print Network [OSTI]

    Papalambros, Panos

    FURTHER ADVANCES IN THE INTEGRATED STRUCTURAL OPTIMIZATION SYSTEM (ISOS) Mehran Chirehdast *,Hae in implementing an Integrated Structural Optimization System (ISOS), introduced in our earlier publications, the Integrated Structural Optimization System (ISOS). Our previous publications [5, 7, 81 bear witness to our

  9. Sandia Energy - Solar Energy Grid Integration Systems (SEGIS)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocumentsInstitute ofSiting and BarrierSolarSolarSolar

  10. Grid Integration and the Carrying Capacity of the U.S. Grid to...

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

    D.; King, J.; Mousseau, T.; Zavadil, R.; Heath, B.; Hecker, L.; Lawhorn, J.; Osborn, D.; Smith, J.T.; Hunt, R.; Moland, G. (2011). Eastern Wind Integration and Transmission Study....

  11. NREL Confirms Large Potential for Grid Integration of Wind, Solar Power (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01T23:59:59.000Z

    To fully harvest the nation's bountiful wind and solar resources, it is critical to know how much electrical power from these renewable resources could be integrated reliably into the grid. To inform the discussion about the potential of such variable sources, the National Renewable Energy Laboratory (NREL) launched two key regional studies, examining the east and west sections of the U.S. power grid. The studies show that it is technically possible for U.S. power systems to integrate 20%-35% renewable electricity if infrastructure and operational improvements can be made.

  12. PhotoVoltaic distributed generation for Lanai power grid real-time simulation and control integration scenario.

    SciTech Connect (OSTI)

    Robinett, Rush D., III; Kukolich, Keith (Opal RT Technologies, Montreal, Quebec, Canada); Wilson, David Gerald; Schenkman, Benjamin L.

    2010-06-01T23:59:59.000Z

    This paper discusses the modeling, analysis, and testing in a real-time simulation environment of the Lanai power grid system for the integration and control of PhotoVoltaic (PV) distributed generation. The Lanai Island in Hawaii is part of the Hawaii Clean Energy Initiative (HCEI) to transition to 30% renewable green energy penetration by 2030. In Lanai the primary loads come from two Castle and Cook Resorts, in addition to residential needs. The total peak load profile is 12470 V, 5.5 MW. Currently there are several diesel generators that meet these loading requirements. As part of the HCEI, Lanai has initially installed 1.2 MW of PV generation. The goal of this study has been to evaluate the impact of the PV with respect to the conventional carbon-based diesel generation in real time simulation. For intermittent PV distributed generation, the overall stability and transient responses are investigated. A simple Lanai 'like' model has been developed in the Matlab/Simulink environment (see Fig. 1) and to accommodate real-time simulation of the hybrid power grid system the Opal-RT Technologies RT-Lab environment is used. The diesel generators have been modelled using the SimPowerSystems toolbox swing equations and a custom Simulink module has been developed for the High level PV generation. All of the loads have been characterized primarily as distribution lines with series resistive load banks with one VAR load bank. Three-phase faults are implemented for each bus. Both conventional and advanced control architectures will be used to evaluate the integration of the PV onto the current power grid system. The baseline numerical results include the stable performance of the power grid during varying cloud cover (PV generation ramping up/down) scenarios. The importance of assessing the real-time scenario is included.

  13. Advances in quasioptical grid array technology for millimeter-wave plasma imaging diagnostics

    SciTech Connect (OSTI)

    Rosenau, S. A.; Liang, C.; Chang, C.-C.; Hsu, P. L.; Luhmann, N. C.; Zhang, W.-K.; Li, W.-Y.; Domier, C. W.; Hsia, R. P.

    2001-01-01T23:59:59.000Z

    Quasioptical grid array technologies can provide low cost, wide bandwidth sources supplying 100--500 mW power levels needed for reflectometric and electron cyclotron imaging of fusion plasmas. Broadband quasioptical overmoded waveguide frequency multiplier grid array systems have been designed, simulated, fabricated, and are under test with a goal of providing Watt level output powers from 50 to 200 GHz. Both 1x8, one-dimensional and 4x4, two-dimensional phased antenna arrays utilizing Schottky varactor loaded transmission lines have been designed, simulated, fabricated, and are being tested. Microelectromechanical systems have been designed and fabricated on silicon wafers with traditional integrated circuit processing techniques, resulting in devices with physical dimensions on the order of a few tens of microns.

  14. Integration of Distributed Energy The CERTS MicroGrid Concept

    E-Print Network [OSTI]

    the California Energy Commission passed upon the accuracy or adequacy of the information in this report. #12 Foundation's Power Systems Engineering Research Center, and Sandia National Laboratories. #12;LBNL-50829 Systems Integration Program Public Interest Energy Research California Energy Commission Prepared

  15. EECS 498 Special Topic Grid Integration of Alternative

    E-Print Network [OSTI]

    Eustice, Ryan

    . 7. Design of renewable energy systems using HOMER. 8. Plug-in electric vehicles: local and large with energy processing technologies that are required for power system connection. System integration issues will be addressed, with consideration given to impacts on current power system design philosophies and operating

  16. Multiple Timescale Dispatch and Scheduling for Stochastic Reliability in Smart Grids with Wind Generation Integration

    E-Print Network [OSTI]

    He, Miao; Zhang, Junshan

    2010-01-01T23:59:59.000Z

    Integrating volatile renewable energy resources into the bulk power grid is challenging, due to the reliability requirement that at each instant the load and generation in the system remain balanced. In this study, we tackle this challenge for smart grid with integrated wind generation, by leveraging multi-timescale dispatch and scheduling. Specifically, we consider smart grids with two classes of energy users - traditional energy users and opportunistic energy users (e.g., smart meters or smart appliances), and investigate pricing and dispatch at two timescales, via day-ahead scheduling and realtime scheduling. In day-ahead scheduling, with the statistical information on wind generation and energy demands, we characterize the optimal procurement of the energy supply and the day-ahead retail price for the traditional energy users; in realtime scheduling, with the realization of wind generation and the load of traditional energy users, we optimize real-time prices to manage the opportunistic energy users so as...

  17. Shaping Power System Inter-area Oscillations through Control Loops of Grid Integrated Wind Farms

    E-Print Network [OSTI]

    Gayme, Dennice

    Shaping Power System Inter-area Oscillations through Control Loops of Grid Integrated Wind Farms. However, in many situations, it may not be possible to site a wind farm at the location with the most desirable frequency response. Here, we show that one can design a wind farm controller to shape

  18. Procedure to Calculate NOx Reductions Using the Emissions & Generation Resource Integrated Database (E-Grid) Spreadsheet 

    E-Print Network [OSTI]

    Haberl, J. S.; Im, P.; Culp, C.; Yazdani, B.; Fitzpatrick, T.; Verdict, M.; Turner, W. D.

    2003-01-01T23:59:59.000Z

    and Generation Resource Integrated Database (E-GRID) is presented. This procedure is proposed for calculating county-wide NOx reductions in pounds per MWh for Energy Efficiency and Renewable Energy projects (EE/RE) implemented in each Power Control Area (PCA...

  19. U.S. Energy Infrastructure Investment: Large-Scale Integrated Smart Grid

    E-Print Network [OSTI]

    research on challenges facing the electric power industry and educating the next generation of powerU.S. Energy Infrastructure Investment: Large-Scale Integrated Smart Grid Solutions with High Penetration of Renewable Resources, Dispersed Generation, and Customer Participation White Paper Power Systems

  20. THE INTEGRATION AND CONTROL OF MULTIFUNCTIONAL STATIONARY PV-BATTERY SYSTEMS IN SMART DISTRIBUTION GRID

    E-Print Network [OSTI]

    Berning, Torsten

    ) in presence of photovoltaic (PV) panel on the view of techno economic optimal sizing taking the considerationTHE INTEGRATION AND CONTROL OF MULTIFUNCTIONAL STATIONARY PV-BATTERY SYSTEMS IN SMART DISTRIBUTION stationary battery energy storage systems (BESS) in the public low-voltage distribution grid in order

  1. innovati nNREL Confirms Large Potential for Grid Integration of Wind, Solar Power

    E-Print Network [OSTI]

    innovati nNREL Confirms Large Potential for Grid Integration of Wind, Solar Power To fully harvest a database of potential wind power sites and detailed, time-dependent estimates of the power that would the nation's bountiful wind and solar resources, it is critical to know how much electrical power from

  2. How Do Wind and Solar Power Affect Grid Operations: The Western Wind and Solar Integration Study

    SciTech Connect (OSTI)

    Lew, D.; Milligan, M.; Jordan, G.; Freeman, L.; Miller, N.; Clark, K.; Piwko, R.

    2009-01-01T23:59:59.000Z

    The Western Wind and Solar Integration Study is one of the largest regional wind and solar integration studies to date, examining the operational impact of up to 35% wind, photovoltaics, and concentrating solar power on the WestConnect grid in Arizona, Colorado, Nevada, New Mexico, and Wyoming. This paper reviews the scope of the study, the development of wind and solar datasets, and the results to date on three scenarios.

  3. Sandia National Laboratories: advanced energy generation

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

    grid integration of renewable-energy resources, real-time residential and industrial energy management and control, lifetime degradation and science and various forms of advanced...

  4. Sandia National Laboratories: Advanced Simulation and Computing: Integrated

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitcheSandian Wins13,051Codes Integrated

  5. Sandia National Laboratories: electric grid

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

    grid ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety, Facilities, Grid Integration,...

  6. ADVANCED COMPRESSOR ENGINE CONTROLS TO ENHANCE OPERATION, RELIABILITY AND INTEGRITY

    SciTech Connect (OSTI)

    Gary D. Bourn; Jess W. Gingrich; Jack A. Smith

    2004-03-01T23:59:59.000Z

    This document is the final report for the ''Advanced Compressor Engine Controls to Enhance Operation, Reliability, and Integrity'' project. SwRI conducted this project for DOE in conjunction with Cooper Compression, under DOE contract number DE-FC26-03NT41859. This report addresses an investigation of engine controls for integral compressor engines and the development of control strategies that implement closed-loop NOX emissions feedback.

  7. Grid-Integrated Fleet & Workplace Charging for Plug-in Electric Vehicles

    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 DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGrid Integration and the Carrying Capacity

  8. Integrating Generations with Advanced Reference Counting Garbage Collectors

    E-Print Network [OSTI]

    Krintz, Chandra

    Integrating Generations with Advanced Reference Counting Garbage Collectors Hezi Azatchi 1 and Erez counting work on the old generation (where many objects survive). Matching the expected survival rate a couple of milliseconds. Keywords: Runtime systems, Memory management, Garbage collection, Genera- tional

  9. Predicting Air Quality: Improvements through advanced methods to integrate

    E-Print Network [OSTI]

    Sandu, Adrian

    Predicting Air Quality: Improvements through advanced methods to integrate models and measurements of Mathematics and Statistics, Portland, OR 97207, USA Abstract Air quality prediction plays an important role chemical transport models can predict pollution in an urban air shed with spatial resolution less than

  10. Integration of advanced nuclear materials separation processes

    SciTech Connect (OSTI)

    Jarvinen, G.D.; Worl, L.A.; Padilla, D.D.; Berg, J.M.; Neu, M.P.; Reilly, S.D.; Buelow, S.

    1998-12-31T23:59:59.000Z

    This is the final report of a two-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). This project has examined the fundamental chemistry of plutonium that affects the integration of hydrothermal technology into nuclear materials processing operations. Chemical reactions in high temperature water allow new avenues for waste treatment and radionuclide separation.Successful implementation of hydrothermal technology offers the potential to effective treat many types of radioactive waste, reduce the storage hazards and disposal costs, and minimize the generation of secondary waste streams. The focus has been on the chemistry of plutonium(VI) in solution with carbonate since these are expected to be important species in the effluent from hydrothermal oxidation of Pu-containing organic wastes. The authors investigated the structure, solubility, and stability of the key plutonium complexes. Installation and testing of flow and batch hydrothermal reactors in the Plutonium Facility was accomplished. Preliminary testing with Pu-contaminated organic solutions gave effluent solutions that readily met discard requirements. A new effort in FY 1998 will build on these promising initial results.

  11. SunEdison Photovoltaic Grid Integration Evaluation: Cooperative Research and Development Final Report, CRADA Number CRD-08-302

    SciTech Connect (OSTI)

    Kroposki, B.

    2012-09-01T23:59:59.000Z

    Under this Agreement, NREL will work with SunEdison to monitor and analyze the performance of photovoltaic (PV) systems as they relate to grid integration. Initially this project will examine the performance of PV systems with respect to evaluating the benefits and impacts on the electric power grid.

  12. Integrated Learning Environment for Smart Grid Security Kewen Wang, Yi Pan, Wen-Zhan Song

    E-Print Network [OSTI]

    Wang, Weichao

    . This smart grid emulator is named Smart-Grid Common Open Research Emulator (SCORE). It provides a platform

  13. Communication Needs and Integration Options

    E-Print Network [OSTI]

    Communication Needs and Integration Options for AMI in the Smart Grid Future Grid Initiative White System #12;Communication Needs and Integration Options for AMI in the Smart Grid Prepared for the Project the current state of communications for the advanced metering infrastructure (AMI) and recommends

  14. A Grid & Place Cell Model of Path Integration Utilizing Phase Precession Versus Theta Neil Burgess12*, Caswell Barry123, Kathryn J Jeffery3, John O'Keefe2

    E-Print Network [OSTI]

    Burgess, Neil

    A Grid & Place Cell Model of Path Integration Utilizing Phase Precession Versus Theta Neil Burgess12*, Caswell Barry123, Kathryn J Jeffery3, John O'Keefe2 13Hz 7Hz 23Hz1m Grid cells in dorsomedial). Nearby grid cells have similar orientation and scale, but shifted to tile the environment B 1m Grid scale

  15. Accelerating development of advanced inverters : evaluation of anti-islanding schemes with grid support functions and preliminary laboratory demonstration.

    SciTech Connect (OSTI)

    Neely, Jason C.; Gonzalez, Sigifredo; Ropp, Michael [Northern Plains Power Technologies, Brookings, SD] [Northern Plains Power Technologies, Brookings, SD; Schutz, Dustin [Northern Plains Power Technologies, Brookings, SD] [Northern Plains Power Technologies, Brookings, SD

    2013-11-01T23:59:59.000Z

    The high penetration of utility interconnected photovoltaic (PV) systems is causing heightened concern over the effect that variable renewable generation will have on the electrical power system (EPS). These concerns have initiated the need to amend the utility interconnection standard to allow advanced inverter control functionalities that provide: (1) reactive power control for voltage support, (2) real power control for frequency support and (3) better tolerance of grid disturbances. These capabilities are aimed at minimizing the negative impact distributed PV systems may have on EPS voltage and frequency. Unfortunately, these advanced control functions may interfere with island detection schemes, and further development of advanced inverter functions requires a study of the effect of advanced functions on the efficacy of antiislanding schemes employed in industry. This report summarizes the analytical, simulation and experimental work to study interactions between advanced inverter functions and anti-islanding schemes being employed in distributed PV systems.

  16. Message passing for integrating and assessing renewable generation in a redundant power grid

    SciTech Connect (OSTI)

    Zdeborova, Lenka [Los Alamos National Laboratory; Backhaus, Scott [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    A simplified model of a redundant power grid is used to study integration of fluctuating renewable generation. The grid consists of large number of generator and consumer nodes. The net power consumption is determined by the difference between the gross consumption and the level of renewable generation. The gross consumption is drawn from a narrow distribution representing the predictability of aggregated loads, and we consider two different distributions representing wind and solar resources. Each generator is connected to D consumers, and redundancy is built in by connecting R {le} D of these consumers to other generators. The lines are switchable so that at any instance each consumer is connected to a single generator. We explore the capacity of the renewable generation by determining the level of 'firm' generation capacity that can be displaced for different levels of redundancy R. We also develop message-passing control algorithm for finding switch sellings where no generator is overloaded.

  17. Solar Energy Grid Integration Systems. Final Report of the Princeton Power Systems Development of the 100kW Demand Response Inverter.

    SciTech Connect (OSTI)

    Bower, Ward Isaac; Heavener, Paul (Princeton Power Systems, Inc., Princeton, NJ); Sena-Henderson, Lisa; Hammell, Darren (Princeton Power Systems, Inc., Princeton, NJ); Holveck, Mark (Princeton Power Systems, Inc., Princeton, NJ); David, Carolyn; Akhil, Abbas Ali; Gonzalez, Sigifredo

    2012-01-01T23:59:59.000Z

    Initiated in 2008, the Solar Energy Grid Integration (SEGIS) program is a partnership involving the U.S. Department of Energy, Sandia National Laboratories, electric utilities, academic institutions and the private sector. Recognizing the need to diversify the nation's energy portfolio, the SEGIS effort focuses on specific technologies needed to facilitate the integration of large-scale solar power generation into the nation's power grid Sandia National Laboratories (SNL) awarded a contract to Princeton Power Systems, Inc., (PPS) to develop a 100kW Advanced AC-link SEGIS inverter prototype under the Department of Energy Solar Energy Technologies Program for near-term commercial applications. This SEGIS initiative emphasizes the development of advanced inverters, controllers, communications and other balance-of-system components for photovoltaic (PV) distributed power applications. The SEGIS Stage 3 Contract was awarded to PPS on July 28, 2010. PPS developed and implemented a Demand Response Inverter (DRI) during this three-stage program. PPS prepared a 'Site Demonstration Conference' that was held on September 28, 2011, to showcase the cumulative advancements. This demo of the commercial product will be followed by Underwriters Laboratories, Inc., certification by the fourth quarter of 2011, and simultaneously the customer launch and commercial production sometime in late 2011 or early 2012. This final report provides an overview of all three stages and a full-length reporting of activities and accomplishments in Stage 3.

  18. Integrated intelligent systems in advanced reactor control rooms

    SciTech Connect (OSTI)

    Beckmeyer, R.R.

    1989-01-01T23:59:59.000Z

    An intelligent, reactor control room, information system is designed to be an integral part of an advanced control room and will assist the reactor operator's decision making process by continuously monitoring the current plant state and providing recommended operator actions to improve that state. This intelligent system is an integral part of, as well as an extension to, the plant protection and control systems. This paper describes the interaction of several functional components (intelligent information data display, technical specifications monitoring, and dynamic procedures) of the overall system and the artificial intelligence laboratory environment assembled for testing the prototype. 10 refs., 5 figs.

  19. Modeling Framework and Validation of a Smart Grid and Demand Response System for Wind Power Integration

    SciTech Connect (OSTI)

    Broeer, Torsten; Fuller, Jason C.; Tuffner, Francis K.; Chassin, David P.; Djilali, Ned

    2014-01-31T23:59:59.000Z

    Electricity generation from wind power and other renewable energy sources is increasing, and their variability introduces new challenges to the power system. The emergence of smart grid technologies in recent years has seen a paradigm shift in redefining the electrical system of the future, in which controlled response of the demand side is used to balance fluctuations and intermittencies from the generation side. This paper presents a modeling framework for an integrated electricity system where loads become an additional resource. The agent-based model represents a smart grid power system integrating generators, transmission, distribution, loads and market. The model incorporates generator and load controllers, allowing suppliers and demanders to bid into a Real-Time Pricing (RTP) electricity market. The modeling framework is applied to represent a physical demonstration project conducted on the Olympic Peninsula, Washington, USA, and validation simulations are performed using actual dynamic data. Wind power is then introduced into the power generation mix illustrating the potential of demand response to mitigate the impact of wind power variability, primarily through thermostatically controlled loads. The results also indicate that effective implementation of Demand Response (DR) to assist integration of variable renewable energy resources requires a diversity of loads to ensure functionality of the overall system.

  20. Foundational development of an advanced nuclear reactor integrated safety code.

    SciTech Connect (OSTI)

    Clarno, Kevin (Oak Ridge National Laboratory, Oak Ridge, TN); Lorber, Alfred Abraham; Pryor, Richard J.; Spotz, William F.; Schmidt, Rodney Cannon; Belcourt, Kenneth (Ktech Corporation, Albuquerque, NM); Hooper, Russell Warren; Humphries, Larry LaRon

    2010-02-01T23:59:59.000Z

    This report describes the activities and results of a Sandia LDRD project whose objective was to develop and demonstrate foundational aspects of a next-generation nuclear reactor safety code that leverages advanced computational technology. The project scope was directed towards the systems-level modeling and simulation of an advanced, sodium cooled fast reactor, but the approach developed has a more general applicability. The major accomplishments of the LDRD are centered around the following two activities. (1) The development and testing of LIME, a Lightweight Integrating Multi-physics Environment for coupling codes that is designed to enable both 'legacy' and 'new' physics codes to be combined and strongly coupled using advanced nonlinear solution methods. (2) The development and initial demonstration of BRISC, a prototype next-generation nuclear reactor integrated safety code. BRISC leverages LIME to tightly couple the physics models in several different codes (written in a variety of languages) into one integrated package for simulating accident scenarios in a liquid sodium cooled 'burner' nuclear reactor. Other activities and accomplishments of the LDRD include (a) further development, application and demonstration of the 'non-linear elimination' strategy to enable physics codes that do not provide residuals to be incorporated into LIME, (b) significant extensions of the RIO CFD code capabilities, (c) complex 3D solid modeling and meshing of major fast reactor components and regions, and (d) an approach for multi-physics coupling across non-conformal mesh interfaces.

  1. Advanced Residential Buildings Research; Electricity, Resources, & Building Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-09-01T23:59:59.000Z

    Factsheet describing the Advanced Residential Buildings Research group within NREL's Electricity, Resources, and Buildings Systems Integration Center.

  2. Advanced Commercial Buildings Research; Electricity, Resources, & Building Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-09-01T23:59:59.000Z

    Factsheet describing the Advanced Commercial Buildings Research group within NREL's Electricity, Resources, and Buildings Systems Integration Center.

  3. Approaches To Integrating A HIgh Penertration Of Solar PV and CPV Onto The Electrical Grid

    E-Print Network [OSTI]

    Hill, Steven Craig

    2013-01-01T23:59:59.000Z

    63  Off?Grid (Stand?Alone) PV Power System not well established. OFF-GRID (STAND-ALONE) PV POWER SYSTEMvariability characteristics of off-grid PV power systems and

  4. Approaches To Integrating A HIgh Penertration Of Solar PV and CPV Onto The Electrical Grid

    E-Print Network [OSTI]

    Hill, Steven Craig

    2013-01-01T23:59:59.000Z

    15,1998 pp. 1424-1431 [140] Grid 2020: Towards a Policy ofInverter connected to the Grid via LCL Filter Papavasiliou,Act, Title XIII- Smart Grid, Section 1301-Statement of

  5. The Adams-Bashforth-Moulton Integration Methods Generalized to an Adaptive Grid

    E-Print Network [OSTI]

    A. P. Hayes

    2011-04-16T23:59:59.000Z

    We present a generalization of the Adams-Bashforth-Moulton predictor-corrector numerical integration methods to an adaptive grid. The step size may be chosen dynamically in order to maintain a desired relative magnitude of error in each step. We demonstrate that the methods remain convergent to the expected degree, and apply various methods to the famous problem of determining the maximum possible mass of a neutron star supported by pure fermionic exclusion pressure. We reproduce the Tolman-Oppenheimer-Volkoff result of 0.71 solar masses using only 23 integration steps, and reproducing both mass and radius within 1% requires 27. We also present various optimizations and features of our implementation.

  6. Overture: An advanced object-oriented software system for moving overlapping grid computations

    SciTech Connect (OSTI)

    Brown, D.L.; Henshaw, W.D.

    1996-09-01T23:59:59.000Z

    While the development of high-level, easy-to-use, software libraries for numerical computations has been successful in some areas (e.g. linear system solvers, ODE solvers, grid generation), this has been an elusive goal for developers of partial differential equation (PDE) solvers. The advent of new high level languages such as C++ has begun to make this an achievable goal. This report discusses an object- oriented environment that we are developing for solving problems on overlapping (Chimera) grids. The goal of this effort is to support flexible PDE solvers on adaptive, moving, overlapping grids that cover a domain and overlap where they meet. Solutions values at the overlap are determined by interpolation. The overlapping grid approach is particularly efficient for rapidly generating high- quality grids for moving geometries since as the component grids move, only the list of interpolation points changes, and the component grids do not have to be regenerated. We use structured component grids so that efficient, fast finite-difference algorithms can be used. Oliger-Berger-Corella type mesh refinement is used to efficiently resolve fine features of the flow.

  7. Sandia National Laboratories: SMART Grid

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

    Energy Efficiency, Grid Integration, Microgrid, Modeling & Analysis, News, Partnership, SMART Grid Vermont-a leader in energy efficiency and deployment of so-called smart-grid...

  8. Sandia National Laboratories: SMART Grid

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

    SMART Grid Mesa del Sol Project Is Finalist for International Smart Grid Action Network 2014 Award of Excellence On July 31, 2014, in Distribution Grid Integration, Energy, Energy...

  9. Sandia National Laboratories: SMART Grid

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

    Offers Approach to Help Utilities Understand Effects of PV Variability on the Grid On March 7, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety, Facilities, Grid...

  10. Sandia Energy - Smart Grid Tools and Technology

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

    Smart Grid Tools and Technology Home Stationary Power Grid Modernization Renewable Energy Integration Smart Grid Tools and Technology Smart Grid Tools and TechnologyTara...

  11. Advanced simulation for analysis of critical infrastructure : abstract cascades, the electric power grid, and Fedwire.

    SciTech Connect (OSTI)

    Glass, Robert John, Jr.; Stamber, Kevin Louis; Beyeler, Walter Eugene

    2004-08-01T23:59:59.000Z

    Critical Infrastructures are formed by a large number of components that interact within complex networks. As a rule, infrastructures contain strong feedbacks either explicitly through the action of hardware/software control, or implicitly through the action/reaction of people. Individual infrastructures influence others and grow, adapt, and thus evolve in response to their multifaceted physical, economic, cultural, and political environments. Simply put, critical infrastructures are complex adaptive systems. In the Advanced Modeling and Techniques Investigations (AMTI) subgroup of the National Infrastructure Simulation and Analysis Center (NISAC), we are studying infrastructures as complex adaptive systems. In one of AMTI's efforts, we are focusing on cascading failure as can occur with devastating results within and between infrastructures. Over the past year we have synthesized and extended the large variety of abstract cascade models developed in the field of complexity science and have started to apply them to specific infrastructures that might experience cascading failure. In this report we introduce our comprehensive model, Polynet, which simulates cascading failure over a wide range of network topologies, interaction rules, and adaptive responses as well as multiple interacting and growing networks. We first demonstrate Polynet for the classical Bac, Tang, and Wiesenfeld or BTW sand-pile in several network topologies. We then apply Polynet to two very different critical infrastructures: the high voltage electric power transmission system which relays electricity from generators to groups of distribution-level consumers, and Fedwire which is a Federal Reserve service for sending large-value payments between banks and other large financial institutions. For these two applications, we tailor interaction rules to represent appropriate unit behavior and consider the influence of random transactions within two stylized networks: a regular homogeneous array and a heterogeneous scale-free (fractal) network. For the stylized electric power grid, our initial simulations demonstrate that the addition of geographically unrestricted random transactions can eventually push a grid to cascading failure, thus supporting the hypothesis that actions of unrestrained power markets (without proper security coordination on market actions) can undermine large scale system stability. We also find that network topology greatly influences system robustness. Homogeneous networks that are 'fish-net' like can withstand many more transaction perturbations before cascading than can scale-free networks. Interestingly, when the homogeneous network finally cascades, it tends to fail in its entirety, while the scale-free tends to compartmentalize failure and thus leads to smaller, more restricted outages. In the case of stylized Fedwire, initial simulations show that as banks adaptively set their individual reserves in response to random transactions, the ratio of the total volume of transactions to individual reserves, or 'turnover ratio', increases with increasing volume. The removal of a bank from interaction within the network then creates a cascade, its speed of propagation increasing as the turnover ratio increases. We also find that propagation is accelerated by patterned transactions (as expected to occur within real markets) and in scale-free networks, by the 'attack' of the most highly connected bank. These results suggest that the time scale for intervention by the Federal Reserve to divert a cascade in Fedwire may be quite short. Ongoing work in our cascade analysis effort is building on both these specific stylized applications to enhance their fidelity as well as embracing new applications. We are implementing markets and additional network interactions (e.g., social, telecommunication, information gathering, and control) that can impose structured drives (perturbations) comparable to those seen in real systems. Understanding the interaction of multiple networks, their interdependencies, and in particular, the underlying mechanisms f

  12. Approaches To Integrating A HIgh Penertration Of Solar PV and CPV Onto The Electrical Grid

    E-Print Network [OSTI]

    Hill, Steven Craig

    2013-01-01T23:59:59.000Z

    electrical transmission and distribution systems can also destroy these grid system components and cause power outages

  13. INTEGRAL: ICT-platform based Distributed Control in electricity grids with a large share of Distributed

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    operating grids using extended context information from the level of individual devices to the highest HVDC

  14. Sodium-Beta Batteries for Grid-Scale Storage: Planar Sodium-Beta Batteries for Renewable Integration and Grid Applications

    SciTech Connect (OSTI)

    None

    2010-02-01T23:59:59.000Z

    Broad Funding Opportunity Announcement Project: EaglePicher is developing a sodium-beta alumina (Na-Beta) battery for grid-scale energy storage. High-temperature Na-Beta batteries are a promising grid-scale energy storage technology, but existing approaches are expensive and unreliable. EaglePicher has modified the shape of the traditional, tubular-shaped Na-Beta battery. It is using an inexpensive stacked design to improve performance at lower temperatures, leading to a less expensive overall storage technology. The new design greatly simplifies the manufacturing process for beta alumina membranes (a key enabling technology), providing a subsequent pathway to the production of scalable, modular batteries at half the cost of the existing tubular designs.

  15. The Development of a Smart Distribution Grid Testbed for Integrated Information Management Systems

    SciTech Connect (OSTI)

    Lu, Ning; Du, Pengwei; Paulson, Patrick R.; Greitzer, Frank L.; Guo, Xinxin; Hadley, Mark D.

    2011-07-28T23:59:59.000Z

    This paper presents a smart distribution grid testbed to test or compare designs of integrated information management systems (I2MSs). An I2MS extracts and synthesizes information from a wide range of data sources to detect abnormal system behaviors, identify possible causes, assess the system status, and provide grid operators with response suggestions. The objective of the testbed is to provide a modeling environment with sufficient data sources for the I2MS design. The testbed includes five information layers and a physical layer; it generates multi-layer chronological data based on actual measurement playbacks or simulated data sets produced by the physical layer. The testbed models random hardware failures, human errors, extreme weather events, and deliberate tampering attempts to allow users to evaluate the performance of different I2MS designs. Initial results of I2MS performance tests showed that the testbed created a close-to-real-world environment that allowed key performance metrics of the I2MS to be evaluated.

  16. Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

    2013-10-01T23:59:59.000Z

    Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

  17. GridOPTICS(TM): A Design for Plug-and-Play Smart Grid Software Architecture

    SciTech Connect (OSTI)

    Gorton, Ian; Liu, Yan; Yin, Jian

    2012-06-03T23:59:59.000Z

    As the smart grid becomes reality, software architectures for integrating legacy systems with new innovative approaches for grid management are needed. These architectures must exhibit flexibility, extensibility, interoperability and scalability. In this position paper, we describe our preliminary work to design such an architecture, known as GridOPTICS, that will enable the deployment and integration of new software tools in smart grid operations. Our preliminary design is based upon use cases from PNNL’s Future Power Grid Initiative, which is a developing a collection of advanced software technologies for smart grid management and control. We describe the motivations for GridOPTICS, and the preliminary design that we are currently prototyping for several distinct use cases.

  18. GENI: Grid Hardware and Software

    SciTech Connect (OSTI)

    None

    2012-01-09T23:59:59.000Z

    GENI Project: The 15 projects in ARPA-E’s GENI program, short for “Green Electricity Network Integration,” aim to modernize the way electricity is transmitted in the U.S. through advances in hardware and software for the electric grid. These advances will improve the efficiency and reliability of electricity transmission, increase the amount of renewable energy the grid can utilize, and provide energy suppliers and consumers with greater control over their power flows in order to better manage peak power demand and cost.

  19. Grid Integration and the Carrying Capacity of the U.S. Grid to Incorporate Variable Renewable Energy

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heaton Armed Services U.S.Gregory J.VehiclesGrid

  20. Probability-Based Software for Grid Optimization: Improved Power System Operations Using Advanced Stochastic Optimization

    SciTech Connect (OSTI)

    None

    2012-02-24T23:59:59.000Z

    GENI Project: Sandia National Laboratories is working with several commercial and university partners to develop software for market management systems (MMSs) that enable greater use of renewable energy sources throughout the grid. MMSs are used to securely and optimally determine which energy resources should be used to service energy demand across the country. Contributions of electricity to the grid from renewable energy sources such as wind and solar are intermittent, introducing complications for MMSs, which have trouble accommodating the multiple sources of price and supply uncertainties associated with bringing these new types of energy into the grid. Sandia’s software will bring a new, probability-based formulation to account for these uncertainties. By factoring in various probability scenarios for electricity production from renewable energy sources in real time, Sandia’s formula can reduce the risk of inefficient electricity transmission, save ratepayers money, conserve power, and support the future use of renewable energy.

  1. Sandia National Laboratories: SMART Grid

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

    Photovoltaic Specialists (PVSC) Conference On August 14, 2013, in DETL, Distribution Grid Integration, Energy, Facilities, Grid Integration, News, News & Events, Photovoltaic,...

  2. New Energy Systems Integration Facility (ESIF) to Help Modernize the Grid |

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency VisitSilverNephelineNeuralNew AdvancesNewNew

  3. From Access and Integration to Mining of Secure Genomic Data Sets across the Grid

    E-Print Network [OSTI]

    Sinnott, R.O.

    Sinnott,R.O. Future Generation of Computer Systems, Special Edition on Life Science Grids for Biomedicine and Bioinformatics

  4. A Case Study of Wave Power Integration into the Ucluelet Area Electrical Grid Louise Anne St.Germain

    E-Print Network [OSTI]

    Victoria, University of

    as a renewable energy resource on Vancouver Island, specifically in the Tofino/Ucluelet area. A model of a waveA Case Study of Wave Power Integration into the Ucluelet Area Electrical Grid by Louise Anne St of wave power projects on Vancouver Island. Supervisors: Dr. Andrew Rowe, (Department of Mechanical

  5. The challenges and policy options for integrating plug-in hybrid electric vehicle into the electric grid

    SciTech Connect (OSTI)

    Srivastava, Anurag K.; Annabathina, Bharath; Kamalasadan, Sukumar

    2010-04-15T23:59:59.000Z

    Plug-in hybrid electric vehicle may be prime candidates for the next generation of vehicles, but they offer several technological and economical challenges. This article assesses current progress in PHEV technology, market trends, research needs, challenges ahead and policy options for integrating PHEVs into the electric grid. (author)

  6. Scaling Up Renewable Energy Generation: Aligning Targets and Incentives with Grid Integration Considerations, Greening The Grid (Fact Sheet), NREL (National Renewable Energy Laboratory)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitcheResearch Briefs TheSanket A.LittleFY13 |SawteethDoug

  7. Survey Paper Cyber security in the Smart Grid: Survey and challenges q

    E-Print Network [OSTI]

    Wang, Wenye

    importantly, with the integration of advanced computing and communication technologies, the Smart GridSurvey Paper Cyber security in the Smart Grid: Survey and challenges q Wenye Wang , Zhuo Lu Accepted 29 December 2012 Available online 17 January 2013 Keywords: Smart Grid Cyber security Attacks

  8. Empirical Analysis of the Variability of Wind Generation in India: Implications for Grid Integration

    SciTech Connect (OSTI)

    Phadke, Amol; Abhyankar, NIkit; Rao, Poorvi

    2014-06-17T23:59:59.000Z

    We analyze variability in load and wind generation in India to assess its implications for grid integration of large scale wind projects using actual wind generation and load data from two states in India, Karnataka and Tamil Nadu. We compare the largest variations in load and net load (load ?wind, i.e., load after integrating wind) that the generation fleet has to meet. In Tamil Nadu, where wind capacity is about 53percent of the peak demand, we find that the additional variation added due to wind over the current variation in load is modest; if wind penetration reaches 15percent and 30percent by energy, the additional hourly variation is less than 0.5percent and 4.5percent of the peak demand respectively for 99percent of the time. For wind penetration of 15percent by energy, Tamil Nadu system is found to be capable of meeting the additional ramping requirement for 98.8percent of the time. Potential higher uncertainty in net load compared to load is found to have limited impact on ramping capability requirements of the system if coal plants can me ramped down to 50percent of their capacity. Load and wind aggregation in Tamil Nadu and Karnataka is found to lower the variation by at least 20percent indicating the benefits geographic diversification. These findings suggest modest additional flexible capacity requirements and costs for absorbing variation in wind power and indicate that the potential capacity support (if wind does not generate enough during peak periods) may be the issue that has more bearing on the economics of integrating wind

  9. advanced integrated modeling: Topics by E-print Network

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

    . . . . 18 3.4.1 Heat Exchanger - Code description . . . . . . . . . . . . . . . 18 3.4.2 Simulation ResultsADVANCED POWER PLANT MODELING WITH APPLICATIONS TO THE ADVANCED BOILING...

  10. advanced integral reactor: Topics by E-print Network

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

    . . . . 18 3.4.1 Heat Exchanger - Code description . . . . . . . . . . . . . . . 18 3.4.2 Simulation ResultsADVANCED POWER PLANT MODELING WITH APPLICATIONS TO THE ADVANCED BOILING...

  11. advanced integration technology: Topics by E-print Network

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

    Summary: Advanced Microslice Technologies for Hyperspectral Imaging We present the design for a novel snapshot hyperspectral imager based on the use of advanced micro-optics...

  12. Computational Needs for the Next Generation Electric Grid Proceedings

    E-Print Network [OSTI]

    Birman, Kenneth

    2012-01-01T23:59:59.000Z

    data  integration  for  Smart  Grid”,  B 2010  3rd  IEEE simulation  integration,  the  next generation smart grid the Smart Grid vision requires the efficient integration of 

  13. Decision-Support Software for Grid Operators: Transmission Topology Control for Infrastructure Resilience to the Integration of Renewable Generation

    SciTech Connect (OSTI)

    None

    2012-03-16T23:59:59.000Z

    GENI Project: The CRA team is developing control technology to help grid operators more actively manage power flows and integrate renewables by optimally turning on and off entire power lines in coordination with traditional control of generation and load resources. The control technology being developed would provide grid operators with tools to help manage transmission congestion by identifying the facilities whose on/off status must change to lower generation costs, increase utilization of renewable resources and improve system reliability. The technology is based on fast optimization algorithms for the near to real-time change in the on/off status of transmission facilities and their software implementation.

  14. Advanced Flywheel Composite Rotors: Low-Cost, High-Energy Density Flywheel Storage Grid Demonstration

    SciTech Connect (OSTI)

    None

    2010-10-01T23:59:59.000Z

    GRIDS Project: Boeing is developing a new material for use in the rotor of a low-cost, high-energy flywheel storage technology. Flywheels store energy by increasing the speed of an internal rotor —slowing the rotor releases the energy back to the grid when needed. The faster the rotor spins, the more energy it can store. Boeing’s new material could drastically improve the energy stored in the rotor. The team will work to improve the storage capacity of their flywheels and increase the duration over which they store energy. The ultimate goal of this project is to create a flywheel system that can be scaled up for use by electric utility companies and produce power for a full hour at a cost of $100 per kilowatt hour.

  15. Grid Architecture

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

    Integration of Distributed Generation", John McDonald, et.al. Electrical Transmission and Smart Grids, Springer, 2013. 4.25 Figure 4.17. Common Distribution Looping Arrangements In...

  16. Introduction The electric power grid and electric power

    E-Print Network [OSTI]

    of systems" that integrates an end-to-end, advanced com- munications infrastructure into the electric powerIntroduction The electric power grid and electric power industry are undergoing a dramatic transforma- tion. By linking information technologies with the electric power grid--to provide "electricity

  17. Smart Grid Demos Provide Guidance on Integrating DER and RES into the Distribution System with Consideration of Transmission Impacts, Market Signals, and Technologies

    SciTech Connect (OSTI)

    Kueck, John D [ORNL] [ORNL; Hamilton, Stephanie [Electric Power Research Institute (EPRI)] [Electric Power Research Institute (EPRI); Smith, Merrill [U.S. Department of Energy] [U.S. Department of Energy

    2010-01-01T23:59:59.000Z

    This paper describes the overall process for developing a planning criteria and deployment strategy for technology applications under the US Department of Energy (USDOE) and Electric Power Research Institute (EPRI) Smart Grid programs. These activities described provide an understanding of each demonstration and how they individually and as group further industry knowledge of Distributed Energy Resources (DER) and Renewable Energy Sources (RES) impact the grid and how the distribution grid can interact with DER and RES in smart ways. Both USDOE through its Renewable and Distributed Systems Integration (RDSI) and EPRI via its Smart Grid Demonstration Program both assess how DER and RES can be integrated and operated to lower the carbon footprint.

  18. Cooperative Research and Development for Advanced Microturbines Program on Advanced Integrated Microturbine System

    SciTech Connect (OSTI)

    Michael J. Bowman

    2007-05-30T23:59:59.000Z

    The Advanced Integrated Microturbine Systems (AIMS) project was kicked off in October of 2000 to develop the next generation microturbine system. The overall objective of the project was to develop a design for a 40% electrical efficiency microturbine system and demonstrate many of the enabling technologies. The project was initiated as a collaborative effort between several units of GE, Elliott Energy Systems, Turbo Genset, Oak Ridge National Lab and Kyocera. Since the inception of the project the partners have changed but the overall direction of the project has stayed consistent. The project began as a systems study to identify design options to achieve the ultimate goal of 40% electrical efficiency. Once the optimized analytical design was identified for the 40% system, it was determined that a 35% efficient machine would be capable of demonstrating many of the advanced technologies within the given budget and timeframe. The items that would not be experimentally demonstrated were fully produced ceramic parts. However, to understand the requirements of these ceramics, an effort was included in the project to experimentally evaluate candidate materials in representative conditions. The results from this effort would clearly identify the challenges and improvement required of these materials for the full design. Following the analytical effort, the project was dedicated to component development and testing. Each component and subsystem was designed with the overall system requirements in mind and each tested to the fullest extent possible prior to being integrated together. This method of component development and evaluation helps to minimize the technical risk of the project. Once all of the components were completed, they were assembled into the full system and experimentally evaluated.

  19. Integrating Variable Renewable Energy Into the Grid: Key Issues, Greening the Grid (Fact Sheet), NREL (National Renewable Energy Laboratory)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other NewsSpin andInterim DataCooling -INTEGRATING VARIABLE

  20. Software Based Barriers To Integration Of Renewables To The Future Distribution Grid

    SciTech Connect (OSTI)

    Stewart, Emma; Kiliccote, Sila

    2014-06-01T23:59:59.000Z

    The future distribution grid has complex analysis needs, which may not be met with the existing processes and tools. In addition there is a growing number of measured and grid model data sources becoming available. For these sources to be useful they must be accurate, and interpreted correctly. Data accuracy is a key barrier to the growth of the future distribution grid. A key goal for California, and the United States, is increasing the renewable penetration on the distribution grid. To increase this penetration measured and modeled representations of generation must be accurate and validated, giving distribution planners and operators confidence in their performance. This study will review the current state of these software and modeling barriers and opportunities for the future distribution grid.

  1. APAC'03 on Advanced Computing, Grid Applications and eResearch Gold Coast, Australia, 29th Sep2nd Oct 2003

    E-Print Network [OSTI]

    Phipps, Steven J.

    , Hobart, Australia 2 CSIRO Marine Research, Hobart, Australia 1 #12;incoming solar radiation [Ebert et al., 1995] and consequently reduces the absorption of solar energy into the upper ocean. The thermodynamicAPAC'03 on Advanced Computing, Grid Applications and eResearch Gold Coast, Australia, 29th Sep­2nd

  2. Sandia National Laboratories: International Smart Grid Action...

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

    Smart Grid Action Network Mesa del Sol Project Is Finalist for International Smart Grid Action Network 2014 Award of Excellence On July 31, 2014, in Distribution Grid Integration,...

  3. AUSTRIAN GRID AUSTRIAN GRID

    E-Print Network [OSTI]

    AUSTRIAN GRID 1/18 AUSTRIAN GRID THE INITIAL VERSION OF SEE-GRID Document Identifier: AG-DA1c-1) #12;AUSTRIAN GRID 2/18 Delivery Slip Name Partner Date Signature From Károly Bósa RISC 31 See cover on page 3 #12;AUSTRIAN GRID 3/18 THE INITIAL VERSION OF SEE-GRID Karoly Bosa Wolfgang

  4. Methods of integrating a high penetration photovoltaic power plant into a micro grid.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Johnson, Lars (SunPower Corporation, Richmond, CA); Nelson, Lauren (SunPower Corporation, Richmond, CA); Lenox, Carl (SunPower Corporation, Richmond, CA); Johnson, Robert. (SunPower Corporation, Richmond, CA)

    2010-06-01T23:59:59.000Z

    The island of Lanai is currently one of the highest penetration PV micro grids in the world, with the 1.2 MWAC La Ola Solar Farm operating on a grid with a peak net load of 4.7 MW. This facility interconnects to one of Lanai's three 12.47 kV distribution circuits. An initial interconnection requirements study (IRS) determined that several control and performance features are necessary to ensure safe and reliable operation of the island grid. These include power curtailment, power factor control, over/under voltage and frequency ride through, and power ramp rate limiting. While deemed necessary for stable grid operation, many of these features contradict the current IEEE 1547 interconnection requirements governing distributed generators. These controls have been successfully implemented, tested, and operated since January 2009. Currently, the system is producing power in a curtailed mode according to the requirements of a power purchase agreement (PPA).

  5. A Provenance-Integration Framework for Distributed Workflows in Grid Environments

    E-Print Network [OSTI]

    Hwang, Kai

    for data quality control and data re- liability maintenance in reservoir management. Distributed track data provenance for reservoir management workflows. In reservoir management work- flows various- sults, and production schedules. The reservoir management workflows are often distributed in a grid

  6. Advanced Inverter Functions to Support High Levels of Distributed Solar: Policy and Regulatory Considerations (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2014-11-01T23:59:59.000Z

    This paper explains how advanced inverter functions (sometimes called 'smart inverters') contribute to the integration of high levels of solar PV generation onto the electrical grid and covers the contributions of advanced functions to maintaining grid stability. Policy and regulatory considerations associated with the deployment of advanced inverter functions are also introduced.

  7. Sandia National Laboratories: renewable energy integration

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

    Grid Integration, Infrastructure Security, Microgrid, News, News & Events, Partnership, Renewable Energy, SMART Grid, Transmission Grid Integration, Transportation Energy Under...

  8. Demonstrations of Integrated Advanced Rooftop Unit Controls and...

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

    An extensive field demonstration confirmed that advanced RTU controllers can achieve heating, ventilation, and air conditioning (HVAC) energy and cost savings of more than 40%...

  9. Advancing the State of the Grid in Tennessee | Department of Energy

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO Overview OCHCOSystemsProgram Overview 20151SolicitationAdvancedDepartmentDepartment

  10. Advancing the State of the Grid in Tennessee | Department of Energy

    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 DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAcceleratedDepartmentDepartment2 DOEX-RayDepartment ofofAdvancing

  11. Advanced Security Acceleration Project for Smart Grid (ASAP-SG) | ornl.gov

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProducts (VAP) VAP7-0973 1BP-14 PowerAdvanced ModelingNuclearSecurity

  12. Sandia National Laboratories: grid modernization

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

    grid modernization Renewables, Other Energy Issues To Be Focus of Enhanced Sandia-SINTEF Collaboration On May 28, 2014, in Biofuels, CRF, Distribution Grid Integration, Energy,...

  13. Sandia National Laboratories: SMART Grid

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

    Energy Storage Safety Workshop On April 7, 2014, in Capabilities, CINT, Distribution Grid Integration, Energy, Energy Storage, Energy Storage Systems, Facilities, Grid...

  14. Studies of advanced integrated nano-photonic devices in silicon

    E-Print Network [OSTI]

    Dahlem, Marcus

    2011-01-01T23:59:59.000Z

    Electronic-photonic integrated circuits (EPICs) are a promising technology for overcoming bandwidth and power-consumption bottlenecks of traditional integrated circuits. Silicon is a good candidate for building such devices, ...

  15. Development of an alternating integrator for magnetic measurements for experimental advanced superconducting tokamak

    SciTech Connect (OSTI)

    Liu, D. M., E-mail: dmliu@live.cn; Zhao, W. Z.; He, Y. G.; Chen, B. [School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009 (China); Wan, B. N.; Shen, B.; Huang, J.; Liu, H. Q. [Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031 (China)

    2014-11-15T23:59:59.000Z

    A high-performance integrator is one of the key electronic devices for reliably controlling plasma in the experimental advanced superconducting tokamak for long pulse operation. We once designed an integrator system of real-time drift compensation, which has a low integration drift. However, it is not feasible for really continuous operations due to capacitive leakage error and nonlinearity error. To solve the above-mentioned problems, this paper presents a new alternating integrator. In the new integrator, the integrator system of real-time drift compensation is adopted as one integral cell while two such integral cells work alternately. To achieve the alternate function, a Field Programmable Gate Array built in the digitizer is utilized. The performance test shows that the developed integrator with the integration time constant of 20 ms has a low integration drift (<15 mV) for 1000?s.

  16. Procedure to Calculate NOx Reductions Using the Emissions & Generation Resource Integrated Database (E-Grid) Spreadsheet

    E-Print Network [OSTI]

    Haberl, J. S.; Im, P.; Culp, C.; Yazdani, B.; Fitzpatrick, T.; Verdict, M.; Turner, W. D.

    2003-01-01T23:59:59.000Z

    and Renewable Energy projects (EE/RE) implemented in each Power Control Area (PCA) in the ERCOT region E-GRID is a comprehensive database of environmental attributes of electric power systems. E-GRID is based on available plant-specific data for all U... in Figure 9 that three counties (i.e., Ward, McLennan, and Mitchell) rise significantly in NOx reductions during peak days when compared to annual NOx reductions (Figure 5). Table 1. EPA's EGRID table: County-wide NOx Reductions in pounds per MWh for EE/RE...

  17. Advanced Communication and Control for Distributed Energy Resource Integration: Phase 2 Scientific Report

    SciTech Connect (OSTI)

    BPL Global

    2008-09-30T23:59:59.000Z

    The objective of this research project is to demonstrate sensing, communication, information and control technologies to achieve a seamless integration of multivendor distributed energy resource (DER) units at aggregation levels that meet individual user requirements for facility operations (residential, commercial, industrial, manufacturing, etc.) and further serve as resource options for electric and natural gas utilities. The fully demonstrated DER aggregation system with embodiment of communication and control technologies will lead to real-time, interactive, customer-managed service networks to achieve greater customer value. Work on this Advanced Communication and Control Project (ACCP) consists of a two-phase approach for an integrated demonstration of communication and control technologies to achieve a seamless integration of DER units to reach progressive levels of aggregated power output. Phase I involved design and proof-of-design, and Phase II involves real-world demonstration of the Phase I design architecture. The scope of work for Phase II of this ACCP involves demonstrating the Phase I design architecture in large scale real-world settings while integrating with the operations of one or more electricity supplier feeder lines. The communication and control architectures for integrated demonstration shall encompass combinations of software and hardware components, including: sensors, data acquisition and communication systems, remote monitoring systems, metering (interval revenue, real-time), local and wide area networks, Web-based systems, smart controls, energy management/information systems with control and automation of building energy loads, and demand-response management with integration of real-time market pricing. For Phase II, BPL Global shall demonstrate the Phase I design for integrating and controlling the operation of more than 10 DER units, dispersed at various locations in one or more Independent System Operator (ISO) Control Areas, at an aggregated scale of more than 1 MW, to provide grid support. Actual performance data with respect to each specified function above is to be collected during the Phase II field demonstration. At a minimum, the Phase II demonstration shall span one year of field operations. The demonstration performance will need to be validated by the target customer(s) for acceptance and subsequent implementation. An ISO must be involved in demonstration planning and execution. As part of the Phase II work, BPL Global shall develop a roadmap to commercialization that identifies and quantifies the potential markets for the integrated, aggregated DER systems and for the communication and control technologies demonstrated in Phase I. In addition, the roadmap must identify strategies and actions, as well as the regional and national markets where the aggregated DER systems with communication and control solutions will be introduced, along with a timeline projected for introduction into each identified market. In Phase I of this project, we developed a proof-of-concept ACCP system and architecture and began to test its functionality at real-world sites. These sites had just over 10 MW of DERs and allowed us to identify what needed to be done to commercialize this concept. As a result, we started Phase II by looking at our existing platform and identified its strengths and weaknesses as well as how it would need to evolve for commercialization. During this process, we worked with different stakeholders in the market including: Independent System Operators, DER owners and operators, and electric utility companies to fully understand the issues from all of the different perspectives. Once we had an understanding of the commercialized ACCP system, we began to document and prepare detailed designs of the different system components. The components of the system with the most significant design improvements were: the on-site remote terminal unit, the communication technology between the remote site and the data center, and the scalability and reliability of the data center application.

  18. NREL Energy Models Examine the Potential for Wind and Solar Grid Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-11-01T23:59:59.000Z

    As renewable energy generating sources, such as wind turbines and solar power systems, reach high levels of penetration in parts of the United States, the National Renewable Energy Laboratory (NREL) is helping the utility industry to peer into the future. Using software modeling tools that the lab developed, NREL is examining the future operation of the electrical grid as renewable energy continues to grow.

  19. A Toolkit for Modelling and Simulation of Data Grids with Integration of Data Storage, Replication and

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Barry St, Carlton VIC 3053 Australia bFaculty of Computer and Information Science The University, such as in the area of astronomy, protein simulation and high energy physics. This is because experiments have developed provides essential building blocks for simulating Data Grid scenarios. It provides

  20. Hyper: A Framework for Peer-to-Peer Data Integration on Grids

    E-Print Network [OSTI]

    De Giacomo, Giuseppe

    Giacomo2 , Maurizio Lenzerini2 , Riccardo Rosati2 , and Guido Vetere3 1 Faculty of Computer Science, Free`a di Roma "La Sapienza", lastname @dis.uniroma1.it 3 IBM Italia gvetere@it.ibm.com Abstract. Data Grids Hyper, a joint research initiative of Universit`a di Roma "La Sapienza" and IBM Italia, which aims

  1. Integrated Vehicle Thermal Management for Advanced Vehicle Propulsion Technologies: Preprint

    SciTech Connect (OSTI)

    Bennion, K.; Thornton, M.

    2010-02-01T23:59:59.000Z

    Techniques for evaluating and quantifying integrated transient and continuous heat loads of combined systems incorporating electric drive systems operating primarily under transient duty cycles.

  2. advanced integrated solvent: Topics by E-print Network

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

    rheology of solvent-responsive complex fluids by integrating microrheology and microfluidics Materials Science Websites Summary: 11927.00 12;In order to optimize the...

  3. advanced integrated operator: Topics by E-print Network

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

    equation (quantum Markovian master equation). We consider the path integral for quantum operation with a simple infinitesimal generator. Vasily E. Tarasov 2007-06-14 6...

  4. Integrated Biorefinery Research Facility: Advancing Biofuels Technology (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-03-01T23:59:59.000Z

    The Integrated Biorefinery Research Facility (IBRF) at the National Renewable Energy Laboratory (NREL) expands NREL's cellulosic ethanol research and development and collaboration capabilities.

  5. Conference Proceedings Available - The Smart Grid Experience...

    Energy Savers [EERE]

    the Grid Through Integration Conservation and Optimization via VoltVar Control Systems Driving the Integrated Grid - Including DMS, DA, DERMS, DRMS Communications and Cyber...

  6. Advanced integrated safeguards using front-end-triggering devices

    SciTech Connect (OSTI)

    Howell, J.A.; Whitty, W.J.

    1995-12-01T23:59:59.000Z

    This report addresses potential uses of front-end-triggering devices for enhanced safeguards. Such systems incorporate video surveillance as well as radiation and other sensors. Also covered in the report are integration issues and analysis techniques.

  7. Sandia Energy - Grid Cyber Vulnerability & Assessments

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

    Consequences and Impacts It's important to recognize that adopting these advanced grid-control technologies doesn't just have the potential to increase power grid reliability...

  8. Approaches To Integrating A HIgh Penertration Of Solar PV and CPV Onto The Electrical Grid

    E-Print Network [OSTI]

    Hill, Steven Craig

    2013-01-01T23:59:59.000Z

    Integration of Intermittent Renewable Technologies Yih-huei,W. ; Parsons, B National Renewable Energy Laboratory, August2020: Towards a Policy of Renewable and Distributed Energy

  9. Ten Frequently Asked Questions and Answers About Wind Energy Grid Integration

    Broader source: Energy.gov [DOE]

    First presented to the Kansas State Legislature in 2008, these slides present 10 questions and answers regarding basic wind power issues including technology, transmission, and integration.

  10. VOLTTRON™: An Agent Platform for Integrating Electric Vehicles and Smart Grid

    SciTech Connect (OSTI)

    Haack, Jereme N.; Akyol, Bora A.; Tenney, Nathan D.; Carpenter, Brandon J.; Pratt, Richard M.; Carroll, Thomas E.

    2013-12-06T23:59:59.000Z

    The VOLTTRON™ platform provides a secure environment for the deployment of intelligent applications in the smart grid. VOLTTRON design is based on the needs of control applications running on small form factor devices, namely security and resource guarantees. Services such as resource discovery, secure agent mobility, and interacting with smart and legacy devices are provided by the platform to ease the development of control applications and accelerate their deployment. VOLTTRON platform has been demonstrated in several different domains that influenced and enhanced its capabilities. This paper will discuss the features of VOLTTRON and highlight its usage to coordinate electric vehicle charging with home energy usage

  11. ESIF Plugs Utility-Scale Hardware into Simulated Grids to Assess Integration Effects (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-04-01T23:59:59.000Z

    At NREL's Energy Systems Integration Facility (ESIF), integrated, megawatt-scale power hardware-in-the-loop (PHIL) capability allows researchers and manufacturers to test new energy technologies at full power in real-time simulations - safely evaluating component and system performance and reliability before going to market.

  12. California-Wyoming Grid Integration Study: Phase 1„Economic Analysis

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced. C o w l i t z C o . C l a r8.05 Calendar Year 19959ofof

  13. FUTURE POWER GRID INITIATIVE GridOPTICSTM

    E-Print Network [OSTI]

    of individual software products November 2012 PNNL-SA-90162 Ian Gorton Pacific Northwest National Laboratory (509) 375-3850 ian.gorton@pnnl.gov ABOUT FPGI The Future Power Grid Initiative (FPGI) will deliver next National Laboratory's (PNNL) national electric grid research facility, the FPGI will advance the science

  14. Modern Grid Strategy: Enhanced GridLAB-D Capabilities Final Report

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.; Tuffner, Francis K.; Chen, Yousu

    2009-09-09T23:59:59.000Z

    GridLAB-D is a software simulation environment that was initially developed by the US Department of Energy (DOE) Office of Electricity (OE) for the purpose of enabling the effective analysis of emerging smart grid technologies. In order to achieve this goal GridLAB-D was developed using an open source approach with the intent that numerous people and organizations would contribute to the ongoing development. Because of the breadth and complexity of the emerging smart grid technologies the inclusion of multiple groups of developers is essential in order to address the many aspects of the smart grid. As part of the continuing Modern Grid Strategy (MGS) the Pacific Northwest National Laboratory (PNNL) has been tasked with developing an advanced set of GridLAB-D capabilities. These capabilities were developed to enable the analysis of complex use case studies which will allow for multi-disciplinary analysis of smart grid operations. The advanced capabilities which were developed include the implementation of an unbalanced networked power flow algorithm, the implementation of an integrated transmission and distribution system solver, and a set of use cases demonstrating the capabilities of the new solvers.

  15. Empirical Analysis of the Variability of Wind Generation in India: Implications for Grid Integration

    E-Print Network [OSTI]

    Phadke, Amol

    2014-01-01T23:59:59.000Z

    and V. Neimane. 2005. 4000 MW Wind Power in Sweden-Impact onand Michael Milligan. 2009. “Wind Energy and Power SystemOperations: A Review of Wind Integration Studies to Date. ”

  16. Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System

    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 onYouTube YouTube Note: Since the.pdfBreaking of BlytheDepartmentEnergy Integrated EnergyIntegratedAdapting

  17. GridMat: Matlab Toolbox for GridLAB-D to Analyse Grid Impact and Validate Residential Microgrid Level

    E-Print Network [OSTI]

    Al Faruque, Mohammad Abdullah

    GridMat: Matlab Toolbox for GridLAB-D to Analyse Grid Impact and Validate Residential Microgrid, in this paper, we present a new Matlab toolbox (GridMat) to integrate the capabilities of domain-specific modeling & simulation tools from power system (GridLAB-D) and control (Matlab). The GridMat tool supports

  18. EV-Smart Grid Research & Interoperability Activities 2014 DOE...

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

    - Codes & Standards Support, Grid Connectivity R&D, International Cooperation and EV-Smart Grid Interoperability Center (funding began in FY 2013) Grid Integration * PEV J1772...

  19. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, VOL. 30, NO. 5, MAY 2011 691 Fast Vectorless Power Grid Verification

    E-Print Network [OSTI]

    Najm, Farid N.

    2011 691 Fast Vectorless Power Grid Verification Under an RLC Model Nahi H. Abdul Ghani, Student MemberIEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, VOL. 30, NO. 5, MAY, IEEE, and Farid N. Najm, Fellow, IEEE Abstract--As part of early system design, one must verify

  20. Integration of photovoltaic units into electric utility grids: experiment information requirements and selected issues

    SciTech Connect (OSTI)

    Not Available

    1980-09-01T23:59:59.000Z

    A number of investigations, including those conducted by The Aerospace Corporation and other contractors, have led to the recognition of technical, economic, and institutional issues relating to the interface between solar electric technologies and electric utility systems. These issues derive from three attributes of solar electric power concepts, including (1) the variability and unpredictability of the solar resources, (2) the dispersed nature of those resources which suggests the feasible deployment of small dispersed power units, and (3) a high initial capital cost coupled with relatively low operating costs. It is imperative that these integration issues be pursued in parallel with the development of each technology if the nation's electric utility systems are to effectively utilize these technologies in the near to intermediate term. Analyses of three of these issues are presented: utility information requirements, generation mix and production cost impacts, and rate structures in the context of photovoltaic units integrated into the utility system. (WHK)

  1. AN ADVANCED TOOL FOR APPLIED INTEGRATED SAFETY MANAGEMENT

    SciTech Connect (OSTI)

    Potts, T. Todd; Hylko, James M.; Douglas, Terence A.

    2003-02-27T23:59:59.000Z

    WESKEM, LLC's Environmental, Safety and Health (ES&H) Department had previously assessed that a lack of consistency, poor communication and using antiquated communication tools could result in varying operating practices, as well as a failure to capture and disseminate appropriate Integrated Safety Management (ISM) information. To address these issues, the ES&H Department established an Activity Hazard Review (AHR)/Activity Hazard Analysis (AHA) process for systematically identifying, assessing, and controlling hazards associated with project work activities during work planning and execution. Depending on the scope of a project, information from field walkdowns and table-top meetings are collected on an AHR form. The AHA then documents the potential failure and consequence scenarios for a particular hazard. Also, the AHA recommends whether the type of mitigation appears appropriate or whether additional controls should be implemented. Since the application is web based, the information is captured into a single system and organized according to the >200 work activities already recorded in the database. Using the streamlined AHA method improved cycle time from over four hours to an average of one hour, allowing more time to analyze unique hazards and develop appropriate controls. Also, the enhanced configuration control created a readily available AHA library to research and utilize along with standardizing hazard analysis and control selection across four separate work sites located in Kentucky and Tennessee. The AHR/AHA system provides an applied example of how the ISM concept evolved into a standardized field-deployed tool yielding considerable efficiency gains in project planning and resource utilization. Employee safety is preserved through detailed planning that now requires only a portion of the time previously necessary. The available resources can then be applied to implementing appropriate engineering, administrative and personal protective equipment controls in the field.

  2. Nuclear Energy Advanced Modeling and Simulation (NEAMS) Waste Integrated Performance and Safety Codes (IPSC) : FY10 development and integration.

    SciTech Connect (OSTI)

    Criscenti, Louise Jacqueline; Sassani, David Carl; Arguello, Jose Guadalupe, Jr.; Dewers, Thomas A.; Bouchard, Julie F.; Edwards, Harold Carter; Freeze, Geoffrey A.; Wang, Yifeng; Schultz, Peter Andrew

    2011-02-01T23:59:59.000Z

    This report describes the progress in fiscal year 2010 in developing the Waste Integrated Performance and Safety Codes (IPSC) in support of the U.S. Department of Energy (DOE) Office of Nuclear Energy Advanced Modeling and Simulation (NEAMS) Campaign. The goal of the Waste IPSC is to develop an integrated suite of computational modeling and simulation capabilities to quantitatively assess the long-term performance of waste forms in the engineered and geologic environments of a radioactive waste storage or disposal system. The Waste IPSC will provide this simulation capability (1) for a range of disposal concepts, waste form types, engineered repository designs, and geologic settings, (2) for a range of time scales and distances, (3) with appropriate consideration of the inherent uncertainties, and (4) in accordance with robust verification, validation, and software quality requirements. Waste IPSC activities in fiscal year 2010 focused on specifying a challenge problem to demonstrate proof of concept, developing a verification and validation plan, and performing an initial gap analyses to identify candidate codes and tools to support the development and integration of the Waste IPSC. The current Waste IPSC strategy is to acquire and integrate the necessary Waste IPSC capabilities wherever feasible, and develop only those capabilities that cannot be acquired or suitably integrated, verified, or validated. This year-end progress report documents the FY10 status of acquisition, development, and integration of thermal-hydrologic-chemical-mechanical (THCM) code capabilities, frameworks, and enabling tools and infrastructure.

  3. Green Energy Workshop Student Posters Semantic Complex Event Processing for Smart Grid Information

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    for Smart Grid Information Integration and Demand Management Qunzhi Zhou, Yogesh of the power grid to a Smart Grid. The benefits of Smart Grid include demand Grid Demonstration Project. We define an ontology model for Smart Grid

  4. Science based integrated approach to advanced nuclear fuel development - vision, approach, and overview

    SciTech Connect (OSTI)

    Unal, Cetin [Los Alamos National Laboratory; Pasamehmetoglu, Kemal [IDAHO NATIONAL LAB; Carmack, Jon [IDAHO NATIONAL LAB

    2010-01-01T23:59:59.000Z

    Advancing the performance of Light Water Reactors, Advanced Nuclear Fuel Cycles, and Advanced Rcactors, such as the Next Generation Nuclear Power Plants, requires enhancing our fundamental understanding of fuel and materials behavior under irradiation. The capability to accurately model the nuclear fuel systems is critical. In order to understand specific aspects of the nuclear fuel, fully coupled fuel simulation codes are required to achieve licensing of specific nuclear fuel designs for operation. The backbone of these codes, models, and simulations is a fundamental understanding and predictive capability for simulating the phase and microstructural behavior of the nuclear fuel system materials and matrices. The purpose of this paper is to identify the modeling and simulation approach in order to deliver predictive tools for advanced fuels development. The coordination between experimental nuclear fuel design, development technical experts, and computational fuel modeling and simulation technical experts is a critical aspect of the approach and naturally leads to an integrated, goal-oriented science-based R & D approach and strengthens both the experimental and computational efforts. The Advanced Fuels Campaign (AFC) and Nuclear Energy Advanced Modeling and Simulation (NEAMS) Fuels Integrated Performance and Safety Code (IPSC) are working together to determine experimental data and modeling needs. The primary objective of the NEAMS fuels IPSC project is to deliver a coupled, three-dimensional, predictive computational platform for modeling the fabrication and both normal and abnormal operation of nuclear fuel pins and assemblies, applicable to both existing and future reactor fuel designs. The science based program is pursuing the development of an integrated multi-scale and multi-physics modeling and simulation platform for nuclear fuels. This overview paper discusses the vision, goals and approaches how to develop and implement the new approach.

  5. Advanced, Integrated Control for Building Operations to Achieve 40% Energy Saving

    SciTech Connect (OSTI)

    Dr. Zhen Song, Prof. Vivian Loftness, Dr. Kun Ji, Dr. Sam Zheng, Mr. Bertrand Lasternas, Ms. Flore Marion, Mr. Yuebin Yu

    2012-10-15T23:59:59.000Z

    we developed and demonstrated a software based integrated advanced building control platform called Smart Energy Box (SEB), which can coordinate building subsystem controls, integrate variety of energy optimization algorithms and provide proactive and collaborative energy management and control for building operations using weather and occupancy information. The integrated control system is a low cost solution and also features: Scalable component based architecture allows to build a solution for different building control system configurations with needed components; Open Architecture with a central data repository for data exchange among runtime components; Extendible to accommodate variety of communication protocols. Optimal building control for central loads, distributed loads and onsite energy resource Uses web server as a loosely coupled way to engage both building operators and building occupants in collaboration for energy conservation. Based on the open platform of SEB, we have investigated and evaluated a variety of operation and energy saving control strategies on Carnegie Mellon University Intelligent Work place which is equipped with alternative cooling/heating/ventilation/lighting methods, including radiant mullions, radiant cooling/heating ceiling panels, cool waves, dedicated ventilation unit, motorized window and blinds, and external louvers. Based on the validation results of these control strategies, they were integrated in SEB in a collaborative and dynamic way. This advanced control system was programmed and computer tested with a model of the Intelligent Workplaceâ??s northern section (IWn). The advanced control program was then installed in the IWn control system; the performance were measured and compared with that of the state of the art control system to verify the overall energy savings great than 40%. In addition advanced human machine interfaces (HMI's) were developed to communicate both with building occupants and the building operator. Lifecycle cost analyses of the advanced building control were performed, and a Building Control System Guide was prepared and published to inform owners, architects, and engineers dealing with new construction or renovation of buildings.

  6. Integration of a high efficiency flue gas cleanup process into advanced power systems

    SciTech Connect (OSTI)

    Hoffman, J.S.; Pennline, H.W.; Yeh, J.T.; Ratafia-Brown, J.A.; Gorokhov, V.A.

    1994-12-31T23:59:59.000Z

    The Moving-Bed Copper Oxide Process, a dry, regenerable flue gas cleanup technology, can simultaneously remove sulfur dioxide (SO{sub 2}) and nitrogen oxide (NO{sub x}) emissions from the flue gases generated by coal combustion. While this advanced air pollution abatement process technology has only been previously considered for conventional utility system applications, its unique design characteristics make it quite advantageous for use in advanced power systems, such as those pulverized-coal-fired systems defined in the US Department of Energy`s Combustion 2000 Initiative. Integration of this flue gas cleanup process into the advanced power systems is technically and economically assessed and compared with several commercially available flue gas cleanup processes. An update on the status of the Moving-Bed Copper oxide Process development is also presented.

  7. Recent advances in III-V on Si integration for high-efficiency,

    E-Print Network [OSTI]

    Firestone, Jeremy

    Recent advances in III-V on Si integration for high-efficiency, low cost MJ cells Minjoo Larry Lee for concentrator photovoltaics · Metamorphic mid-infrared (2-3 µm) materials and devices(w/ D.Wasserman, UIUC · Conclusions 4 300 mm Si Low-cost, high- efficiency MJ cells on 300 mm Si 50 mm GaP 150 mm GaAs #12;Challenge

  8. Advanced Integration in Multi-Scale Mechanics and Welding Process Simulation in Weld Integrity Assessment

    SciTech Connect (OSTI)

    Vitek, J.M.; Wilkowski, G.M.; Brust, F.W.; Babu, S.

    2008-01-30T23:59:59.000Z

    In this project, mathematical models that predict the microstructure in pipeline steel welds were to be developed. These models were to be integrated with thermal models that describe the time-temperature history in the weld as a function of location in order to derive the spatial variation of microstructure in the weld. The microstructure predictions were also to be combined with microstructure-hardness relations, based on the additivity principle, to determine the spatial variation of hardness in the weld. EMC2 also developed microstructural models based on empirical relationships. ORNL was to pursue the development of more fundamental, theoretically based models. ORNL applied a previously developed model for inclusion formation to predict the extent and nature of inclusions that form during weld cooling from the liquid. This inclusion model was directly integrated with computational thermodynamics capability. A convenient user interface was developed for both the inclusion model and the thermodynamic phase-stability calculations. The microstructure model was based on the simultaneous transformation theory analysis as applied to the transformation of austenite to various ferrite constituents during weld cooling. The model available on the Materials Algorithm Project web site was used. Extensive modification of this model was required to correct problems with compilation and calculations as a function of the computational platform (Unix, Linux, Windows, etc.) that was used. The user interface for the inclusion model and thermodynamic phase-stability calculations was delivered to EMC2 along with the modified and correct microstructure model. Evaluation of the theoretically based model will be carried out and the predictions will be compared with experimental results as well as predictions based on the empirical models developed by EMC2.

  9. Sandia Energy - Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatingsUltra-High-Voltage SiliconEnergyFailureGlobal Climate

  10. Renewables and Grid Integration

    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 DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy using Fues Cells Webinar, July 13,Energy Renewables

  11. Basis for the US Modern Grid Strategy - A Changing World

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

    Advanced Metering Infrastructure, distributed generation, wind turbine farms, and a few Demand Response programs. Value of the Electricity Grid The electric grid plays an...

  12. Development of an integrated energetic neutral particle measurement system on experimental advanced full superconducting tokamak

    SciTech Connect (OSTI)

    Zhu, Y. B., E-mail: YubaoZ@UCI.EDU; Liu, D.; Heidbrink, W. W. [Department of Physics and Astronomy, University of California, Irvine, California 92697-4575 (United States); Zhang, J. Z.; Qi, M. Z.; Xia, S. B.; Wan, B. N.; Li, J. G. [Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031 (China)

    2014-11-15T23:59:59.000Z

    Full function integrated, compact silicon photodiode based solid state neutral particle analyzers (ssNPA) have been developed for energetic particle (EP) relevant studies on the Experimental Advanced Superconducting Tokamak (EAST). The ssNPAs will be mostly operated in advanced current mode with a few channels to be operated in conventional pulse-counting mode, aiming to simultaneously achieve individually proved ultra-fast temporal, spatial, and spectral resolution capabilities. The design details together with considerations on EAST specific engineering realities and physics requirements are presented. The system, including a group of single detectors on two vertical ports and two 16-channel arrays on a horizontal port, can provide both active and passive charge exchange measurements. ssNPA detectors, with variable thickness of ultra thin tungsten dominated foils directly deposited on the front surface, are specially fabricated and utilized to achieve about 22 keV energy resolution for deuterium particle detection.

  13. ADVANCED INTEGRATION OF MULTI-SCALE MECHANICS AND WELDING PROCESS SIMULATION IN WELD INTEGRITY ASSESSMENT

    SciTech Connect (OSTI)

    Wilkowski, Gery M.; Rudland, David L.; Shim, Do-Jun; Brust, Frederick W.; Babu, Sundarsanam

    2008-06-30T23:59:59.000Z

    The potential to save trillions of BTU’s in energy usage and billions of dollars in cost on an annual basis based on use of higher strength steel in major oil and gas transmission pipeline construction is a compelling opportunity recognized by both the US Department of Energy (DOE). The use of high-strength steels (X100) is expected to result in energy savings across the spectrum, from manufacturing the pipe to transportation and fabrication, including welding of line pipe. Elementary examples of energy savings include more the 25 trillion BTUs saved annually based on lower energy costs to produce the thinner-walled high-strength steel pipe, with the potential for the US part of the Alaskan pipeline alone saving more than 7 trillion BTU in production and much more in transportation and assembling. Annual production, maintenance and installation of just US domestic transmission pipeline is likely to save 5 to 10 times this amount based on current planned and anticipated expansions of oil and gas lines in North America. Among the most important conclusions from these studies were: • While computational weld models to predict residual stress and distortions are well-established and accurate, related microstructure models need improvement. • Fracture Initiation Transition Temperature (FITT) Master Curve properly predicts surface-cracked pipe brittle-to-ductile initiation temperature. It has value in developing Codes and Standards to better correlate full-scale behavior from either CTOD or Charpy test results with the proper temperature shifts from the FITT master curve method. • For stress-based flaw evaluation criteria, the new circumferentially cracked pipe limit-load solution in the 2007 API 1104 Appendix A approach is overly conservative by a factor of 4/?, which has additional implications. . • For strain-based design of girth weld defects, the hoop stress effect is the most significant parameter impacting CTOD-driving force and can increase the crack-driving force by a factor of 2 depending on strain-hardening, pressure level as a % of SMYS, and flaw size. • From years of experience in circumferential fracture analyses and experimentation, there has not been sufficient integration of work performed for other industries into analogous problems facing the oil and gas pipeline markets. Some very basic concepts and problems solved previously in these fields could have circumvented inconsistencies seen in the stress-based and strain-based analysis efforts. For example, in nuclear utility piping work, more detailed elastic-plastic fracture analyses were always validated in their ability to predict loads and displacements (stresses and strains). The eventual implementation of these methodologies will result in acceleration of the industry adoption of higher-strength line-pipe steels.

  14. Applications (Grid Tools)

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Grid Fabric Software Grid Applications Core Grid Middleware User-Level Middleware (Grid Tools) !"# $ %& ' ( ) * #& + '& ' , - . / # ) ) 0 # * 1 PDB CDB Grid Fabric Hardware &+ '' + ) , '1 '1 ' % - * # ( Grid Fabric Software Grid Applications Core Grid Middleware User-Level Middleware (Grid Tools) !"# $ %& ' ( ) * #& + '& ' , - . / # ) ) 0

  15. PEV Integration with Renewables (Presentation)

    SciTech Connect (OSTI)

    Markel, T.

    2014-06-18T23:59:59.000Z

    This presentation discusses current research at NREL on integrating plug-in electric vehicles with the grid and using renewable energy to charge the grid. The Electric Vehicle Grid Integration (EVGI) and Integrated Network Testbed for Energy Grid Research and Technology Experimentation (INTEGRATE) are addressing the opportunities and technical requirements for vehicle grid integration that will increase marketability and lead to greater petroleum reduction.

  16. Wind Energy Management System Integration Project Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Huang, Zhenyu; Etingov, Pavel V.; Ma, Jian; Guttromson, Ross T.; Subbarao, Krishnappa; Chakrabarti, Bhujanga B.

    2010-09-01T23:59:59.000Z

    The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation) and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. In order to improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively, by including all sources of uncertainty (load, intermittent generation, generators’ forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique features make this work a significant step forward toward the objective of incorporating of wind, solar, load, and other uncertainties into power system operations. In this report, a new methodology to predict the uncertainty ranges for the required balancing capacity, ramping capability and ramp duration is presented. Uncertainties created by system load forecast errors, wind and solar forecast errors, generation forced outages are taken into account. The uncertainty ranges are evaluated for different confidence levels of having the actual generation requirements within the corresponding limits. The methodology helps to identify system balancing reserve requirement based on a desired system performance levels, identify system “breaking points”, where the generation system becomes unable to follow the generation requirement curve with the user-specified probability level, and determine the time remaining to these potential events. The approach includes three stages: statistical and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence intervals. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis incorporating all sources of uncertainty and parameters of a continuous (wind forecast and load forecast errors) and discrete (forced generator outages and failures to start up) nature. Preliminary simulations using California Independent System Operator (California ISO) real life data have shown the effectiveness of the proposed approach. A tool developed based on the new methodology described in this report will be integrated with the California ISO systems. Contractual work is currently in place to integrate the tool with the AREVA EMS system.

  17. International Journal of Smart Grid and Clean Energy Smart Grid Security: Threats, Vulnerabilities and Solutions

    E-Print Network [OSTI]

    Aloul, Fadi

    to be able to communicate with smart meters via a Home Area Network (HAN) facilitating efficient powerInternational Journal of Smart Grid and Clean Energy Smart Grid Security: Threats, Vulnerabilities is currently evolving into the smart grid. Smart grid integrates the traditional electrical power grid

  18. EA-1750: Smart Grid, Center for Commercialization of Electric Technology, Technology Solutions for Wind Integration in ERCOT, Houston, Texas

    Broader source: Energy.gov [DOE]

    This EA evaluates the potential environmental impacts of providing a financial assistance grant under the American Recovery and Reinvestment Act of 2009 to the Center for Commercialization of Electric Technology to facilitate the development and demonstration of a multi-faceted, synergistic approach to managing fluctuations in wind power within the Electric Reliability Council of Texas transmission grid.

  19. 2014-09-30 Issuance: Buildings-to-Grid Integration and Related Areas of Research; Notice of Availability and Request for Public Comment

    Broader source: Energy.gov [DOE]

    This document is a pre-publication Federal Register notice of availability and request for public comment regarding buildings-to-grid integration and related areas of research, as issued by the Deputy Assistant Secretary for Energy Efficiency on September 30, 2014. Though it is not intended or expected, should any discrepancy occur between the document posted here and the document published in the Federal Register, the Federal Register publication controls. This document is being made available through the Internet solely as a means to facilitate the public's access to this document.

  20. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    AND SMART GRID The GridWise® interoperability framework [6] was developed to facilitate systems integration and

  1. Integrating advanced materials simulation techniques into an automated data analysis workflow at the Spallation Neutron Source

    SciTech Connect (OSTI)

    Borreguero Calvo, Jose M [ORNL] [ORNL; Campbell, Stuart I [ORNL] [ORNL; Delaire, Olivier A [ORNL] [ORNL; Doucet, Mathieu [ORNL] [ORNL; Goswami, Monojoy [ORNL] [ORNL; Hagen, Mark E [ORNL] [ORNL; Lynch, Vickie E [ORNL] [ORNL; Proffen, Thomas E [ORNL] [ORNL; Ren, Shelly [ORNL] [ORNL; Savici, Andrei T [ORNL] [ORNL; Sumpter, Bobby G [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    This presentation will review developments on the integration of advanced modeling and simulation techniques into the analysis step of experimental data obtained at the Spallation Neutron Source. A workflow framework for the purpose of refining molecular mechanics force-fields against quasi-elastic neutron scattering data is presented. The workflow combines software components to submit model simulations to remote high performance computers, a message broker interface for communications between the optimizer engine and the simulation production step, and tools to convolve the simulated data with the experimental resolution. A test application shows the correction to a popular fixed-charge water model in order to account polarization effects due to the presence of solvated ions. Future enhancements to the refinement workflow are discussed. This work is funded through the DOE Center for Accelerating Materials Modeling.

  2. DEMONSTRATION OF AN ADVANCED INTEGRATED CONTROL SYSTEM FOR SIMULTANEOUS EMISSIONS REDUCTION

    SciTech Connect (OSTI)

    Suzanne Shea; Randhir Sehgal; Ilga Celmins; Andrew Maxson

    2002-02-01T23:59:59.000Z

    The primary objective of the project titled ''Demonstration of an Advanced Integrated Control System for Simultaneous Emissions Reduction'' was to demonstrate at proof-of-concept scale the use of an online software package, the ''Plant Environmental and Cost Optimization System'' (PECOS), to optimize the operation of coal-fired power plants by economically controlling all emissions simultaneously. It combines physical models, neural networks, and fuzzy logic control to provide both optimal least-cost boiler setpoints to the boiler operators in the control room, as well as optimal coal blending recommendations designed to reduce fuel costs and fuel-related derates. The goal of the project was to demonstrate that use of PECOS would enable coal-fired power plants to make more economic use of U.S. coals while reducing emissions.

  3. Integration of Advanced Probabilistic Analysis Techniques with Multi-Physics Models

    SciTech Connect (OSTI)

    Cetiner, Mustafa Sacit; none,; Flanagan, George F. [ORNL] [ORNL; Poore III, Willis P. [ORNL] [ORNL; Muhlheim, Michael David [ORNL] [ORNL

    2014-07-30T23:59:59.000Z

    An integrated simulation platform that couples probabilistic analysis-based tools with model-based simulation tools can provide valuable insights for reactive and proactive responses to plant operating conditions. The objective of this work is to demonstrate the benefits of a partial implementation of the Small Modular Reactor (SMR) Probabilistic Risk Assessment (PRA) Detailed Framework Specification through the coupling of advanced PRA capabilities and accurate multi-physics plant models. Coupling a probabilistic model with a multi-physics model will aid in design, operations, and safety by providing a more accurate understanding of plant behavior. This represents the first attempt at actually integrating these two types of analyses for a control system used for operations, on a faster than real-time basis. This report documents the development of the basic communication capability to exchange data with the probabilistic model using Reliability Workbench (RWB) and the multi-physics model using Dymola. The communication pathways from injecting a fault (i.e., failing a component) to the probabilistic and multi-physics models were successfully completed. This first version was tested with prototypic models represented in both RWB and Modelica. First, a simple event tree/fault tree (ET/FT) model was created to develop the software code to implement the communication capabilities between the dynamic-link library (dll) and RWB. A program, written in C#, successfully communicates faults to the probabilistic model through the dll. A systems model of the Advanced Liquid-Metal Reactor–Power Reactor Inherently Safe Module (ALMR-PRISM) design developed under another DOE project was upgraded using Dymola to include proper interfaces to allow data exchange with the control application (ConApp). A program, written in C+, successfully communicates faults to the multi-physics model. The results of the example simulation were successfully plotted.

  4. Principal Characteristics of a Modern Grid

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

    Office of Electricity Delivery and Energy Reliability MODERN GRID S T R A T E G Y AMI Demand Response Distribution Management Systems Advanced OMS Distribution Automation...

  5. What will the Smart Grid Look Like?

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

    and education they need to effectively utilize the new options provided by the Smart Grid. CE includes solutions such as Advanced Metering Infrastructure (AMI), home...

  6. Cyber Security & Smart Grid

    E-Print Network [OSTI]

    Shapiro, J.

    2011-01-01T23:59:59.000Z

    of the impacts of long-term power shortages from the destruction of critical electric infrastructure. ? A Hitachi factory north of Tokyo that makes 60% of the world?s supply of airflow sensors was shut down. This caused General Motors to shut a plant... at The University of Texas at Dallas ? Next Generation Control Systems ? Trustworthy Cyber Infrastructure for the Power Grid ? Active Defense Systems ? System Vulnerability Assessments ? Grid Test Bed ? Integrated Risk Analysis ? Modeling and Simulation...

  7. Nuclear Energy Advanced Modeling and Simulation Waste Integrated Performance and Safety Codes (NEAMS Waste IPSC).

    SciTech Connect (OSTI)

    Schultz, Peter Andrew

    2011-12-01T23:59:59.000Z

    The objective of the U.S. Department of Energy Office of Nuclear Energy Advanced Modeling and Simulation Waste Integrated Performance and Safety Codes (NEAMS Waste IPSC) is to provide an integrated suite of computational modeling and simulation (M&S) capabilities to quantitatively assess the long-term performance of waste forms in the engineered and geologic environments of a radioactive-waste storage facility or disposal repository. Achieving the objective of modeling the performance of a disposal scenario requires describing processes involved in waste form degradation and radionuclide release at the subcontinuum scale, beginning with mechanistic descriptions of chemical reactions and chemical kinetics at the atomic scale, and upscaling into effective, validated constitutive models for input to high-fidelity continuum scale codes for coupled multiphysics simulations of release and transport. Verification and validation (V&V) is required throughout the system to establish evidence-based metrics for the level of confidence in M&S codes and capabilities, including at the subcontiunuum scale and the constitutive models they inform or generate. This Report outlines the nature of the V&V challenge at the subcontinuum scale, an approach to incorporate V&V concepts into subcontinuum scale modeling and simulation (M&S), and a plan to incrementally incorporate effective V&V into subcontinuum scale M&S destined for use in the NEAMS Waste IPSC work flow to meet requirements of quantitative confidence in the constitutive models informed by subcontinuum scale phenomena.

  8. Integration of advanced geoscience and engineering techniques to quantify interwell heterogeneity. Quarterly technical report, January 1--March 31, 1994

    SciTech Connect (OSTI)

    Martin, F.D.; Buckley, J.S.; Weiss, W.W.; Ouenes, A.

    1994-12-31T23:59:59.000Z

    The objective of this project is to integrate advanced geoscience and reservoir engineering concepts, with the goal of quantifying the dynamics of fluid-rock and fluid-fluid interactions as they relate to reservoir architecture and lithologic characterization. This interdisciplinary effort will integrate geological and geophysical data with engineering and petrophysical results through reservoir simulation. Technical progress is summarized for the following: geological studies; hydrologic and tracer research; and geophysical research.

  9. Strategies and Decision Support Systems for Integrating Variable Energy Resources in Control Centers for Reliable Grid Operations

    SciTech Connect (OSTI)

    Jones, Lawrence E.

    2011-12-01T23:59:59.000Z

    A variety of studies have recently evaluated the opportunities for the large-scale integration of wind energy into the US power system. These studies have included, but are not limited to, "20 Percent Wind Energy by 2030: Increasing Wind Energy's Contribution to US Electricity Supply", the "Western Wind and Solar Integration Study", and the "Eastern Wind Integration and Transmission Study." Each of these US based studies have evaluated a variety of activities that can be undertaken by utilities to help integrate wind energy.

  10. How do Wind and Solar Power Affect Grid Operations: The Western Wind and Solar Integration Study; Preprint

    SciTech Connect (OSTI)

    Lew, D.; Milligan, M.; Jordan, G.; Freeman, L.; Miller, N.; Clark, K.; Piwko, R.

    2009-09-01T23:59:59.000Z

    This paper reviews the scope of the Western Wind and Solar Integration Study, the development of wind and solar datasets, and the results to date on three scenarios.

  11. Grid integrated distributed PV (GridPV).

    SciTech Connect (OSTI)

    Reno, Matthew J.; Coogan, Kyle [Georgia Institute of Technology, Atlanta, GA

    2013-08-01T23:59:59.000Z

    This manual provides the documentation of the MATLAB toolbox of functions for using OpenDSS to simulate the impact of solar energy on the distribution system. The majority of the functions are useful for interfacing OpenDSS and MATLAB, and they are of generic use for commanding OpenDSS from MATLAB and retrieving information from simulations. A set of functions is also included for modeling PV plant output and setting up the PV plant in the OpenDSS simulation. The toolbox contains functions for modeling the OpenDSS distribution feeder on satellite images with GPS coordinates. Finally, example simulations functions are included to show potential uses of the toolbox functions. Each function in the toolbox is documented with the function use syntax, full description, function input list, function output list, example use, and example output.

  12. Secure Interoperable Open Smart Grid Demonstration Project

    SciTech Connect (OSTI)

    Magee, Thoman

    2014-12-31T23:59:59.000Z

    The Consolidated Edison, Inc., of New York (Con Edison) Secure Interoperable Open Smart Grid Demonstration Project (SGDP), sponsored by the United States (US) Department of Energy (DOE), demonstrated that the reliability, efficiency, and flexibility of the grid can be improved through a combination of enhanced monitoring and control capabilities using systems and resources that interoperate within a secure services framework. The project demonstrated the capability to shift, balance, and reduce load where and when needed in response to system contingencies or emergencies by leveraging controllable field assets. The range of field assets includes curtailable customer loads, distributed generation (DG), battery storage, electric vehicle (EV) charging stations, building management systems (BMS), home area networks (HANs), high-voltage monitoring, and advanced metering infrastructure (AMI). The SGDP enables the seamless integration and control of these field assets through a common, cyber-secure, interoperable control platform, which integrates a number of existing legacy control and data systems, as well as new smart grid (SG) systems and applications. By integrating advanced technologies for monitoring and control, the SGDP helps target and reduce peak load growth, improves the reliability and efficiency of Con Edison’s grid, and increases the ability to accommodate the growing use of distributed resources. Con Edison is dedicated to lowering costs, improving reliability and customer service, and reducing its impact on the environment for its customers. These objectives also align with the policy objectives of New York State as a whole. To help meet these objectives, Con Edison’s long-term vision for the distribution grid relies on the successful integration and control of a growing penetration of distributed resources, including demand response (DR) resources, battery storage units, and DG. For example, Con Edison is expecting significant long-term growth of DG. The SGDP enables the efficient, flexible integration of these disparate resources and lays the architectural foundations for future scalability. Con Edison assembled an SGDP team of more than 16 different project partners, including technology vendors, and participating organizations, and the Con Edison team provided overall guidance and project management. Project team members are listed in Table 1-1.

  13. Real Power Regulation for the Utility Power Grid via Responsive Loads -

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection Radiation ProtectionRaising funds forAdvancedAdvancedReadingofEnergy

  14. A First-Ever Global Examination of Successful Wind Energy Grid...

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

    A First-Ever Global Examination of Successful Wind Energy Grid Integration Practices A First-Ever Global Examination of Successful Wind Energy Grid Integration Practices December...

  15. How Do High Levels of Wind and Solar Impact the Grid? The Western Wind and Solar Integration Study

    SciTech Connect (OSTI)

    Lew, D.; Piwko, D.; Miller, N.; Jordan, G.; Clark, K.; Freeman, L.

    2010-12-01T23:59:59.000Z

    This paper is a brief introduction to the scope of the Western Wind and Solar Integration Study (WWSIS), inputs and scenario development, and the key findings of the study.

  16. NREL Smart Grid Projects

    SciTech Connect (OSTI)

    Hambrick, J.

    2012-01-01T23:59:59.000Z

    Although implementing Smart Grid projects at the distribution level provides many advantages and opportunities for advanced operation and control, a number of significant challenges must be overcome to maintain the high level of safety and reliability that the modern grid must provide. For example, while distributed generation (DG) promises to provide opportunities to increase reliability and efficiency and may provide grid support services such as volt/var control, the presence of DG can impact distribution operation and protection schemes. Additionally, the intermittent nature of many DG energy sources such as photovoltaics (PV) can present a number of challenges to voltage regulation, etc. This presentation provides an overview a number of Smart Grid projects being performed by the National Renewable Energy Laboratory (NREL) along with utility, industry, and academic partners. These projects include modeling and analysis of high penetration PV scenarios (with and without energy storage), development and testing of interconnection and microgrid equipment, as well as the development and implementation of advanced instrumentation and data acquisition used to analyze the impacts of intermittent renewable resources. Additionally, standards development associated with DG interconnection and analysis as well as Smart Grid interoperability will be discussed.

  17. Advances

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProducts (VAP) VAP7-0973 1BP-14Scripting for Advanced Workflows Jack

  18. An advanced algorithm for construction of Integral Transport Matrix Method operators using accumulation of single cell coupling factors

    SciTech Connect (OSTI)

    Powell, B. P.; Azmy, Y. Y. [North Carolina State University, Department of Nuclear Engineering, Burlington Engineering Labs, 2500 Stinston Drive, Raleigh, NC 27695 (United States)

    2013-07-01T23:59:59.000Z

    The Integral Transport Matrix Method (ITMM) has been shown to be an effective method for solving the neutron transport equation in large domains on massively parallel architectures. In the limit of very large number of processors, the speed of the algorithm, and its suitability for unstructured meshes, i.e. other than an ordered Cartesian grid, is limited by the construction of four matrix operators required for obtaining the solution in each sub-domain. The existing algorithm used for construction of these matrix operators, termed the differential mesh sweep, is computationally expensive and was developed for a structured grid. This work proposes the use of a new algorithm for construction of these operators based on the construction of a single, fundamental matrix representing the transport of a particle along every possible path throughout the sub-domain mesh. Each of the operators is constructed by multiplying an element of this fundamental matrix by two factors dependent only upon the operator being constructed and on properties of the emitting and incident cells. The ITMM matrix operator construction time for the new algorithm is demonstrated to be shorter than the existing algorithm in all tested cases with both isotropic and anisotropic scattering considered. While also being a more efficient algorithm on a structured Cartesian grid, the new algorithm is promising in its geometric robustness and potential for being applied to an unstructured mesh, with the ultimate goal of application to an unstructured tetrahedral mesh on a massively parallel architecture. (authors)

  19. Development of Regulatory Technical Requirements for the Advanced Integral Type Research Reactor

    SciTech Connect (OSTI)

    Jo, Jong Chull; Yune, Young Gill; Kim, Woong Sik; Kim, Hho Jung [Korea Institute of Nuclear Safety, 19 Kusung-dong, Yusung-ku, Taejon, 305-338 (Korea, Republic of)

    2004-07-01T23:59:59.000Z

    This paper presents the current status of the study on the development of regulatory technical requirements for the licensing review of an advanced integral type research reactor of which the license application is expected in a few years. According to the Atomic Energy Act of Korea, both research and education reactors are subject to the technical requirements for power reactors in the licensing review. But, some of the requirements may not be applicable or insufficient for the licensing reviews of reactors with unique design features. Thus it is necessary to identify which review topics or areas can not be addressed by the existing requirements and to develop the required ones newly or supplement appropriately. Through the study performed so far, it has been identified that the following requirements need to be developed newly for the licensing review of SMART-P: the use of proven technology, the interfacial facility, the non-safety systems, and the metallic fuels. The approach and basis for the development of each of the requirements are discussed. (authors)

  20. Advancing Commercialization of Algal Biofuels Through Increased Biomass Productivity and Technology Integration

    SciTech Connect (OSTI)

    Bai, Xuemei [Cellana LLC; Sabarsky, Martin

    2013-09-30T23:59:59.000Z

    Cellana is a leading developer of algae-based bioproducts, and its pre-commercial production of marine microalgae takes place at Cellana?s Kona Demonstration Facility (KDF) in Hawaii. KDF is housing more than 70 high-performing algal strains for different bioproducts, of which over 30 have been grown outside at scale. So far, Cellana has produced more than 10 metric tons of algal biomass for the development of biofuels, animal feed, and high-value nutraceuticals. Cellana?s ALDUO algal cultivation technology allows Cellana to grow non-extremophile algal strains at large scale with no contamination disruptions. Cellana?s research and production at KDF have addressed three major areas that are crucial for the commercialization of algal biofuels: yield improvement, cost reduction, and the overall economics. Commercially acceptable solutions have been developed and tested for major factors limiting areal productivity of algal biomass and lipids based on years of R&D work conducted at KDF. Improved biomass and lipid productivity were achieved through strain improvement, culture management strategies (e.g., alleviation of self-shading, de-oxygenation, and efficient CO2 delivery), and technical advancement in downstream harvesting technology. Cost reduction was achieved through optimized CO2 delivery system, flue gas utilization technology, and energy-efficient harvesting technology. Improved overall economics was achieved through a holistic approach by integration of high-value co-products in the process, in addition to yield improvements and cost reductions.

  1. Smart Grid Research At TTU Robert C. Qiu and David Gao

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Grid #12;Smart Grid Research at TTU Renewable and clean energy integration into smart grid Wind PowerSmart Grid Research At TTU Robert C. Qiu and David Gao Department of Electrical and Computer Technologies Integrated communications Fast and reliable communications for the grid Allowing the grid

  2. Grid Security

    E-Print Network [OSTI]

    Sinnott, R.O.

    Sinnott,R.O. National Centre for e-Social Science book, Grid Computing: Technology, Service and Application, CRC Press, November 2008.

  3. 15Geographic Information Sciences Vol. 11, No. 1, June 2005 The Integration of Grid-enabled Internet GIServices and

    E-Print Network [OSTI]

    Tsou, Ming-Hsiang

    are too slow to enable complicated web-based spatial analysis procedures. The heterogeneous geospatial and integrate computing power with geospatial data and services. Geospatial ontologies are incorporatedAgent) techniques are used to automate the procedures for searching, retrieving and processing geospatial data

  4. Numerical solution of plasma fluid equations using locally refined grids

    SciTech Connect (OSTI)

    Colella, P., LLNL

    1997-01-26T23:59:59.000Z

    This paper describes a numerical method for the solution of plasma fluid equations on block-structured, locally refined grids. The plasma under consideration is typical of those used for the processing of semiconductors. The governing equations consist of a drift-diffusion model of the electrons and an isothermal model of the ions coupled by Poisson's equation. A discretization of the equations is given for a uniform spatial grid, and a time-split integration scheme is developed. The algorithm is then extended to accommodate locally refined grids. This extension involves the advancement of the discrete system on a hierarchy of levels, each of which represents a degree of refinement, together with synchronization steps to ensure consistency across levels. A brief discussion of a software implementation is followed by a presentation of numerical results.

  5. 2010 U.S. Smart Grid Vendor Ecosystem Report on the companies...

    Energy Savers [EERE]

    smart grid landscape The Smart Grid vendor ecosystem is an increasingly interdependent web of companies. Vendors of Advanced Metering Infrastructure (AMI) products (meters,...

  6. Wind Energy Management System EMS Integration Project: Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Huang, Zhenyu; Etingov, Pavel V.; Ma, Jian; Guttromson, Ross T.; Subbarao, Krishnappa; Chakrabarti, Bhujanga B.

    2010-01-01T23:59:59.000Z

    The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind and solar power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation), and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind/solar forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. To improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively by including all sources of uncertainty (load, intermittent generation, generators’ forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique features make this work a significant step forward toward the objective of incorporating of wind, solar, load, and other uncertainties into power system operations. Currently, uncertainties associated with wind and load forecasts, as well as uncertainties associated with random generator outages and unexpected disconnection of supply lines, are not taken into account in power grid operation. Thus, operators have little means to weigh the likelihood and magnitude of upcoming events of power imbalance. In this project, funded by the U.S. Department of Energy (DOE), a framework has been developed for incorporating uncertainties associated with wind and load forecast errors, unpredicted ramps, and forced generation disconnections into the energy management system (EMS) as well as generation dispatch and commitment applications. A new approach to evaluate the uncertainty ranges for the required generation performance envelope including balancing capacity, ramping capability, and ramp duration has been proposed. The approach includes three stages: forecast and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence levels. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis, incorporating all sources of uncertainties of both continuous (wind and load forecast errors) and discrete (forced generator outages and start-up failures) nature. A new method called the “flying brick” technique has been developed to evaluate the look-ahead required generation performance envelope for the worst case scenario within a user-specified confidence level. A self-validation algorithm has been developed to validate the accuracy of the confidence intervals.

  7. Virtual Welded-Joint Design Integrating Advanced Materials and Processing Technologies

    SciTech Connect (OSTI)

    Yang, Z.; Dong, P.; Liu, S.; Babu, S.; Olson, G.; DebRoy, T.

    2005-04-15T23:59:59.000Z

    The primary goal of this project is to increase the fatigue life of a welded-joint by 10 times and to reduce energy use by 25% through product performance and productivity improvements using an integrated modeling approach. The fatigue strength of a welded-joint is currently the bottleneck to design high performance and lightweight welded structures using advanced materials such as high strength steels. In order to achieve high fatigue strength in a welded-joint it is necessary to manage the weld bead shape for lower stress concentration, produce preferable residual stress distribution, and obtain the desired microstructure for improved material toughness and strength. This is a systems challenge that requires the optimization of the welding process, the welding consumable, the base material, as well as the structure design. The concept of virtual welded-joint design has been proposed and established in this project. The goal of virtual welded-joint design is to develop a thorough procedure to predict the relationship of welding process, microstructure, property, residual stress, and the ultimate weld fatigue strength by a systematic modeling approach. The systematic approach combines five sub-models: weld thermal-fluid model, weld microstructure model, weld material property model, weld residual stress model, and weld fatigue model. The systematic approach is thus based on interdisciplinary applied sciences including heat transfer, computational fluid dynamics, materials science, engineering mechanics, and material fracture mechanics. The sub-models are based on existing models with further development. The results from modeling have been validated with critical experiments. The systematic modeling approach has been used to design high fatigue resistant welds considering the combined effects of weld bead geometry, residual stress, microstructure, and material property. In particular, a special welding wire has been developed in this project to introduce compressive residual stress at weld toe for weld fatigue resistance.

  8. Smart Grid Investments Improve Grid Reliability, Resilience,...

    Office of Environmental Management (EM)

    Investments Improve Grid Reliability, Resilience, and Storm Responses (November 2014) Smart Grid Investments Improve Grid Reliability, Resilience, and Storm Responses (November...

  9. Introduction to FireGrid 

    E-Print Network [OSTI]

    Welch, Stephen; Usmani, Asif; Upadhyay, Rochan; Berry, Dave; Potter, Stephen; Torero, Jose L

    2007-11-14T23:59:59.000Z

    FireGrid is an ambitious and innovative project, seeking to develop the technology to support a new way of managing emergency response in the modern built environment. Specific novel aspects include the integration of ...

  10. High-efficiency grid-connected photovoltaic module integrated converter system with high-speed communication interfaces for small-scale distribution power generation

    SciTech Connect (OSTI)

    Choi, Woo-Young; Lai, Jih-Sheng (Jason) [Future Energy Electronics Center, Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA (United States)

    2010-04-15T23:59:59.000Z

    This paper presents a high-efficiency grid-connected photovoltaic (PV) module integrated converter (MIC) system with reduced PV current variation. The proposed PV MIC system consists of a high-efficiency step-up DC-DC converter and a single-phase full-bridge DC-AC inverter. An active-clamping flyback converter with a voltage-doubler rectifier is proposed for the step-up DC-DC converter. The proposed step-up DC-DC converter reduces the switching losses by eliminating the reverse-recovery current of the output rectifying diodes. To reduce the PV current variation introduced by the grid-connected inverter, a PV current variation reduction method is also suggested. The suggested PV current variation reduction method reduces the PV current variation without any additional components. Moreover, for centralized power control of distributed PV MIC systems, a PV power control scheme with both a central control level and a local control level is presented. The central PV power control level controls the whole power production by sending out reference power signals to each individual PV MIC system. The proposed step-up DC-DC converter achieves a high-efficiency of 97.5% at 260 W output power to generate the DC-link voltage of 350 V from the PV voltage of 36.1 V. The PV MIC system including the DC-DC converter and the DC-AC inverter achieves a high-efficiency of 95% with the PV current ripple less than 3% variation of the rated PV current. (author)

  11. A Multi-Level Grid Interactive Bi-directional AC/DC-DC/AC Converter and a Hybrid Battery/Ultra-capacitor Energy Storage System with Integrated Magnetics for Plug-in Hybrid Electric Vehicles

    SciTech Connect (OSTI)

    Onar, Omer C [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    This study presents a bi-directional multi-level power electronic interface for the grid interactions of plug-in hybrid electric vehicles (PHEVs) as well as a novel bi-directional power electronic converter for the combined operation of battery/ultracapacitor hybrid energy storage systems (ESS). The grid interface converter enables beneficial vehicle-to-grid (V2G) interactions in a high power quality and grid friendly manner; i.e, the grid interface converter ensures that all power delivered to/from grid has unity power factor and almost zero current harmonics. The power electronic converter that provides the combined operation of battery/ultra-capacitor system reduces the size and cost of the conventional ESS hybridization topologies while reducing the stress on the battery, prolonging the battery lifetime, and increasing the overall vehicle performance and efficiency. The combination of hybrid ESS is provided through an integrated magnetic structure that reduces the size and cost of the inductors of the ESS converters. Simulation and experimental results are included as prove of the concept presenting the different operation modes of the proposed converters.

  12. An Ontology for Scientific Information in a Grid Environment: the Earth System Grid.

    E-Print Network [OSTI]

    Chervenak, Ann

    An Ontology for Scientific Information in a Grid Environment: the Earth System Grid. Line Pouchard.S. Department of Energy Scientific Discovery through Advanced Computing (SciDAC) program. The Earth System Grid, 5 Carl Kesselman,5 Arie Shoshani, 6 Alex Sim6 [1] Oak Ridge National Laboratory, [2] Argonne

  13. FIRESTRUC - Integrating advanced three-dimensional modelling methodologies for predicting thermo-mechanical behaviour of steel and composite structures subjected to natural fires 

    E-Print Network [OSTI]

    Welch, Stephen; Miles, Steward; Kumar, Suresh; Lemaire, Tony; Chan, Alan

    A hierarchy of coupling strategies for integrating advanced three-dimensional modelling methodologies for prediction of the thermo-mechanical response of structures in fire has been developed and systematically assessed. ...

  14. Integration

    E-Print Network [OSTI]

    Koschorke, Albrecht; Musanovic, Emina

    2013-01-01T23:59:59.000Z

    Integration By Albrecht Koschorkeby Emina Musanovic [Integration (from Lat. integrare, “toa social unity. Social integration is distinct from systemic

  15. Framework for Advance Sustainable Building Design. Smart Micro-Grid Enabled Buildings and Utility-Side of the Meter Energy Markets

    E-Print Network [OSTI]

    Goldberg, Bennett

    and Requirements System Information · Temperature, wind, sun, pollution ·Built Environment Impact on Infrastructure/Transmission and Retail/Distribution Cost and Congestion Modeling," First IEEE Conf. on Smart Grid Communic., Gaithersburg-Time Power Markets for Energy and Reserves Incorporating Local Distribution Network Costs and Congestion," 48

  16. Advanced engineered substrates for the integration of lattice-mismatched materials with silicon

    E-Print Network [OSTI]

    Isaacson, David Michael, 1976-

    2006-01-01T23:59:59.000Z

    The dramatic advances in Si/SiO2-based microelectronic processing witnessed over the past several decades can largely be attributed to relatively material-independent device scaling. However, with physical and economic ...

  17. 2012 SG Peer Review - Recovery Act: LADWP Smart Grid Regional...

    Energy Savers [EERE]

    Funding (K) FY1011 - FY1516 60,280K Match Grant Technical Scope *Integrate Electric Vehicles into the LADWP grid *Demonstrate integrated Demand Response operation and...

  18. Smart Grid Interoperability Maturity Model Beta Version

    SciTech Connect (OSTI)

    Widergren, Steven E.; Drummond, R.; Giroti, Tony; Houseman, Doug; Knight, Mark; Levinson, Alex; longcore, Wayne; Lowe, Randy; Mater, J.; Oliver, Terry V.; Slack, Phil; Tolk, Andreas; Montgomery, Austin

    2011-12-02T23:59:59.000Z

    The GridWise Architecture Council was formed by the U.S. Department of Energy to promote and enable interoperability among the many entities that interact with the electric power system. This balanced team of industry representatives proposes principles for the development of interoperability concepts and standards. The Council provides industry guidance and tools that make it an available resource for smart grid implementations. In the spirit of advancing interoperability of an ecosystem of smart grid devices and systems, this document presents a model for evaluating the maturity of the artifacts and processes that specify the agreement of parties to collaborate across an information exchange interface. You are expected to have a solid understanding of large, complex system integration concepts and experience in dealing with software component interoperation. Those without this technical background should read the Executive Summary for a description of the purpose and contents of the document. Other documents, such as checklists, guides, and whitepapers, exist for targeted purposes and audiences. Please see the www.gridwiseac.org website for more products of the Council that may be of interest to you.

  19. Integrated Transmission and Distribution Control

    SciTech Connect (OSTI)

    Kalsi, Karanjit; Fuller, Jason C.; Tuffner, Francis K.; Lian, Jianming; Zhang, Wei; Marinovici, Laurentiu D.; Fisher, Andrew R.; Chassin, Forrest S.; Hauer, Matthew L.

    2013-01-16T23:59:59.000Z

    Distributed, generation, demand response, distributed storage, smart appliances, electric vehicles and renewable energy resources are expected to play a key part in the transformation of the American power system. Control, coordination and compensation of these smart grid assets are inherently interlinked. Advanced control strategies to warrant large-scale penetration of distributed smart grid assets do not currently exist. While many of the smart grid technologies proposed involve assets being deployed at the distribution level, most of the significant benefits accrue at the transmission level. The development of advanced smart grid simulation tools, such as GridLAB-D, has led to a dramatic improvement in the models of smart grid assets available for design and evaluation of smart grid technology. However, one of the main challenges to quantifying the benefits of smart grid assets at the transmission level is the lack of tools and framework for integrating transmission and distribution technologies into a single simulation environment. Furthermore, given the size and complexity of the distribution system, it is crucial to be able to represent the behavior of distributed smart grid assets using reduced-order controllable models and to analyze their impacts on the bulk power system in terms of stability and reliability. The objectives of the project were to: • Develop a simulation environment for integrating transmission and distribution control, • Construct reduced-order controllable models for smart grid assets at the distribution level, • Design and validate closed-loop control strategies for distributed smart grid assets, and • Demonstrate impact of integrating thousands of smart grid assets under closed-loop control demand response strategies on the transmission system. More specifically, GridLAB-D, a distribution system tool, and PowerWorld, a transmission planning tool, are integrated into a single simulation environment. The integrated environment allows the load flow interactions between the bulk power system and end-use loads to be explicitly modeled. Power system interactions are modeled down to time intervals as short as 1-second. Another practical issue is that the size and complexity of typical distribution systems makes direct integration with transmission models computationally intractable. Hence, the focus of the next main task is to develop reduced-order controllable models for some of the smart grid assets. In particular, HVAC units, which are a type of Thermostatically Controlled Loads (TCLs), are considered. The reduced-order modeling approach can be extended to other smart grid assets, like water heaters, PVs and PHEVs. Closed-loop control strategies are designed for a population of HVAC units under realistic conditions. The proposed load controller is fully responsive and achieves the control objective without sacrificing the end-use performance. Finally, using the T&D simulation platform, the benefits to the bulk power system are demonstrated by controlling smart grid assets under different demand response closed-loop control strategies.

  20. An integrated methodology for quantitative assessment of proliferation resistance of advanced nuclear systems using probabilistic methods

    E-Print Network [OSTI]

    Ham, Hyeongpil

    2005-01-01T23:59:59.000Z

    Proliferation is the results of a competition between the proliferating country (proliferation) and the party to resist the proliferation efforts (safeguarder). An integrated evaluation methodology to evaluate proliferation ...

  1. Partnering with Industry to Advance Biofuels, NREL's Integrated Biorefinery Research Facility (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-10-01T23:59:59.000Z

    Fact sheet describing NREL's Integrated Biorefinery Research Facility and its availability to biofuels' industry partners who want to operate, test, and develop biorefining technology and equipment.

  2. Arnold Schwarzenegger INTEGRATING NEW AND EMERGING

    E-Print Network [OSTI]

    GRID INFRASTRUCTURE A Report on a Smart Grid for California PIERFINALPROJECTREPORT Prepared For Technologies into the California Smart Grid Infrastructure. EPRI, Palo Alto, CA; California Energy Commission Technologies · Transportation Integrating New and Emerging Technologies into the California Smart Grid

  3. Spherical Harmonic Decomposition on a Cubic Grid

    E-Print Network [OSTI]

    Charles W. Misner

    1999-10-12T23:59:59.000Z

    A method is described by which a function defined on a cubic grid (as from a finite difference solution of a partial differential equation) can be resolved into spherical harmonic components at some fixed radius. This has applications to the treatment of boundary conditions imposed at radii larger than the size of the grid, following Abrahams, Rezzola, Rupright et al.(gr-qc/9709082}. In the method described here, the interpolation of the grid data to the integration 2-sphere is combined in the same step as the integrations to extract the spherical harmonic amplitudes, which become sums over grid points. Coordinates adapted to the integration sphere are not needed.

  4. Advanced Amine Solvent Formulations and Process Integration for Near-Term CO2 Capture Success

    SciTech Connect (OSTI)

    Fisher, Kevin S.; Searcy, Katherine; Rochelle, Gary T.; Ziaii, Sepideh; Schubert, Craig

    2007-06-28T23:59:59.000Z

    This Phase I SBIR project investigated the economic and technical feasibility of advanced amine scrubbing systems for post-combustion CO2 capture at coal-fired power plants. Numerous combinations of advanced solvent formulations and process configurations were screened for energy requirements, and three cases were selected for detailed analysis: a monoethanolamine (MEA) base case and two “advanced” cases: an MEA/Piperazine (PZ) case, and a methyldiethanolamine (MDEA) / PZ case. The MEA/PZ and MDEA/PZ cases employed an advanced “double matrix” stripper configuration. The basis for calculations was a model plant with a gross capacity of 500 MWe. Results indicated that CO2 capture increased the base cost of electricity from 5 cents/kWh to 10.7 c/kWh for the MEA base case, 10.1 c/kWh for the MEA / PZ double matrix, and 9.7 c/kWh for the MDEA / PZ double matrix. The corresponding cost per metric tonne CO2 avoided was 67.20 $/tonne CO2, 60.19 $/tonne CO2, and 55.05 $/tonne CO2, respectively. Derated capacities, including base plant auxiliary load of 29 MWe, were 339 MWe for the base case, 356 MWe for the MEA/PZ double matrix, and 378 MWe for the MDEA / PZ double matrix. When compared to the base case, systems employing advanced solvent formulations and process configurations were estimated to reduce reboiler steam requirements by 20 to 44%, to reduce derating due to CO2 capture by 13 to 30%, and to reduce the cost of CO2 avoided by 10 to 18%. These results demonstrate the potential for significant improvements in the overall economics of CO2 capture via advanced solvent formulations and process configurations.

  5. Sandia Energy - SMART Grid

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley RuehlReportPeter H.Rohit Prasankumar

  6. advanced info-communications infrastructure: Topics by E-print...

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

    Websites Summary: and delivery systems are transi- tioning to a new computerized "smart grid". One of the principle com- ponents of the smart grid is an advanced metering...

  7. BioSim: An Integrated Simulation of an Advanced Life Support System for Intelligent Control Research

    E-Print Network [OSTI]

    Kortenkamp, David

    revitalization, water recovery, food production, solid waste processing and the crew. The goal of autonomously waste heat. · Waste: collects and conditions waste material from anywhere in the vehicle acceptable food, and managing wastes. A typical advanced life support system consists of the following

  8. NATL Grid Map 50-Meter Grid

    E-Print Network [OSTI]

    Slatton, Clint

    NATL-east NATL Grid Map 50-Meter Grid Locations in NATL can be specified by reference to a grid intervals. Each gridline intersection ("grid point") is identified by its two gridlines (e.g., E5). Each 50x50-m block formed by the gridlines is identified by the grid point in its northwest corner (e

  9. Development of an Advanced Approach for Next Generation, High Resolution, Integrated Reservoir Characterization

    SciTech Connect (OSTI)

    Scott R. Reeves

    2003-08-01T23:59:59.000Z

    During this reporting period work on Task 4: Develop Integrated Engineering Model was completed, incorporating the results from Log Clustering. A series of Topical Reports were prepared on Seismic Data Processing, Rock Physics modeling, Log Clustering, and the Integrated Engineering Model. These Topical Reports have been submitted to the test site field operator for review before submission to NETL staff in Tulsa. Work continues on development of the Broadband Seismic Transform Function.

  10. FINAL REPORT - CENTER FOR GRID MODERNIZATION

    SciTech Connect (OSTI)

    Markiewicz, Daniel R

    2008-06-30T23:59:59.000Z

    The objective of the CGM was to develop high-priority grid modernization technologies in advanced sensors, communications, controls and smart systems to enable use of real-time or near real-time information for monitoring, analyzing and managing distribution and transmission grid conditions. The key strategic approach to carry out individual CGM research and development (R&D) projects was through partnerships, primarily with the GridApp™ Consortium utility members.

  11. Fact Sheet: Community Energy Storage for Grid Support (October...

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

    Detroit Edison American Recovery and Reinvestment Act (ARRA) Community Energy Storage for Grid Support Demonstrating advanced implementation of community energy storage...

  12. South Mississippi Electric Power Association Smart Grid Project (Mississippi)

    Broader source: Energy.gov [DOE]

    South Mississippi Electric Power Association’s (SMEPA) smart grid project involves the deployment of advanced metering infrastructure (AMI) and covers the Generation and Transmission (G&T)...

  13. Smart Grid | Department of Energy

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9MorganYou are here HomeSmart Grid Smart Grid Smart

  14. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

    Williams, “Security issues in SCADA networks,” Computers andA Cyber Security Study of a SCADA Energy Management System,”and transmitted over a SCADA network to the system operator.

  15. Sandia National Laboratories: Grid Integration

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

    Biofuels Biofuels Publications Biochemical Conversion Program Lignocellulosic Biomass Microalgae Thermochemical Conversion Sign up for our E-Newsletter Required.gif?3.21 Email...

  16. Grid Integration | Department of Energy

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12 OPAMGeneral GuidanceEnergy Launching Pad

  17. Sandia Energy - Distribution Grid Integration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatings Initiated at PNNL's SequimReactors ToDecision

  18. Integrated safeguards testing laboratories in support of the advanced fuel cycle initiative

    SciTech Connect (OSTI)

    Santi, Peter A [Los Alamos National Laboratory; Demuth, Scott F [Los Alamos National Laboratory; Klasky, Kristen L [Los Alamos National Laboratory; Lee, Haeok [Los Alamos National Laboratory; Miller, Michael C [Los Alamos National Laboratory; Sprinkle, James K [Los Alamos National Laboratory; Tobin, Stephen J [Los Alamos National Laboratory; Williams, Bradley [DOE, NE

    2009-01-01T23:59:59.000Z

    A key enabler for advanced fuel cycle safeguards research and technology development for programs such as the Advanced Fuel Cycle Initiative (AFCI) is access to facilities and nuclear materials. This access is necessary in many cases in order to ensure that advanced safeguards techniques and technologies meet the measurement needs for which they were designed. One such crucial facility is a hot cell based laboratory which would allow developers from universities, national laboratories, and commercial companies to perform iterative research and development of advanced safeguards instrumentation under realistic operating conditions but not be subject to production schedule limitations. The need for such a facility arises from the requirement to accurately measure minor actinide and/or fission product bearing nuclear materials that cannot be adequately shielded in glove boxes. With the contraction of the DOE nuclear complex following the end of the cold war, many suitable facilities at DOE sites are increasingly costly to operate and are being evaluated for closure. A hot cell based laboratory that allowed developers to install and remove instrumentation from the hot cell would allow for both risk mitigation and performance optimization of the instrumentation prior to fielding equipment in facilities where maintenance and repair of the instrumentation is difficult or impossible. These benefits are accomplished by providing developers the opportunity to iterate between testing the performance of the instrumentation by measuring realistic types and amounts of nuclear material, and adjusting and refining the instrumentation based on the results of these measurements. In this paper, we review the requirements for such a facility using the Wing 9 hot cells in the Los Alamos National Laboratory's Chemistry and Metallurgy Research facility as a model for such a facility and describe recent use of these hot cells in support of AFCI.

  19. Smart Grid Status and Metrics Report Appendices

    SciTech Connect (OSTI)

    Balducci, Patrick J.; Antonopoulos, Chrissi A.; Clements, Samuel L.; Gorrissen, Willy J.; Kirkham, Harold; Ruiz, Kathleen A.; Smith, David L.; Weimar, Mark R.; Gardner, Chris; Varney, Jeff

    2014-07-01T23:59:59.000Z

    A smart grid uses digital power control and communication technology to improve the reliability, security, flexibility, and efficiency of the electric system, from large generation through the delivery systems to electricity consumers and a growing number of distributed generation and storage resources. To convey progress made in achieving the vision of a smart grid, this report uses a set of six characteristics derived from the National Energy Technology Laboratory Modern Grid Strategy. The Smart Grid Status and Metrics Report defines and examines 21 metrics that collectively provide insight into the grid’s capacity to embody these characteristics. This appendix presents papers covering each of the 21 metrics identified in Section 2.1 of the Smart Grid Status and Metrics Report. These metric papers were prepared in advance of the main body of the report and collectively form its informational backbone.

  20. PNNL Data-Intensive Computing for a Smarter Energy Grid

    ScienceCinema (OSTI)

    Carol Imhoff; Zhenyu (Henry) Huang; Daniel Chavarria

    2012-12-31T23:59:59.000Z

    The Middleware for Data-Intensive Computing (MeDICi) Integration Framework, an integrated platform to solve data analysis and processing needs, supports PNNL research on the U.S. electric power grid. MeDICi is enabling development of visualizations of grid operations and vulnerabilities, with goal of near real-time analysis to aid operators in preventing and mitigating grid failures.

  1. ADVANCES IN LOGIC-BASED OPTIMIZATION APPROACHES TO PROCESS INTEGRATION AND SUPPLY CHAIN MANAGEMENT

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    , may be regarded as steady-state models. Hence, one important extension is the case of dynamic models-algebraic equation (DAE) models. Mathematical programming, and optimization in general, have found extensive use to LP and MILP problems. An extensive review of optimization models for process integration can be found

  2. Advanced Variable Speed Air-Source Integrated Heat Pump | Department of

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartmentDepartment of2Partners in the SpotlightEnergy Advanced

  3. Advanced Scientific Computing Research Jobs

    Office of Science (SC) Website

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1USummerNews &OfficeAdvanced

  4. Advanced Energy Industries, Inc. SEGIS developments.

    SciTech Connect (OSTI)

    Scharf, Mesa P. (Advanced Energy Industries, Inc., Bend, OR); Bower, Ward Isaac; Mills-Price, Michael A. (Advanced Energy Industries, Inc., Bend, OR); Sena-Henderson, Lisa; David, Carolyn; Akhil, Abbas Ali; Kuszmaul, Scott S.; Gonzalez, Sigifredo

    2012-03-01T23:59:59.000Z

    The Solar Energy Grid Integration Systems (SEGIS) initiative is a three-year, three-stage project that includes conceptual design and market analysis (Stage 1), prototype development/testing (Stage 2), and commercialization (Stage 3). Projects focus on system development of solar technologies, expansion of intelligent renewable energy applications, and connecting large-scale photovoltaic (PV) installations into the electric grid. As documented in this report, Advanced Energy Industries, Inc. (AE), its partners, and Sandia National Laboratories (SNL) successfully collaborated to complete the final stage of the SEGIS initiative, which has guided new technology development and development of methodologies for unification of PV and smart-grid technologies. The combined team met all deliverables throughout the three-year program and commercialized a broad set of the developed technologies.

  5. IEEE TRANSACTIONS ON SMART GRID CALL FOR PAPERS

    E-Print Network [OSTI]

    Guan, Yongpei

    IEEE TRANSACTIONS ON SMART GRID CALL FOR PAPERS Special Issue on "Optimization Methods and Algorithms Applied to Smart Grid" With recent developments in advanced monitoring, information, and communication technologies applied to smart grid, electric power systems will be able to respond more

  6. Advanced sluicing system test report for single shell tank waste retrieval integrated testing

    SciTech Connect (OSTI)

    Berglin, E.J.

    1997-05-29T23:59:59.000Z

    This document describes the testing performed by ARD Environmental, Inc., and Los Alamos Technical Associates of the LATA/ARD Advanced Sluicing System, in support of ACTR Phase 1 activities. Testing was to measure the impact force and pressures of sluicing streams at three different distances, as measured by the Government supplied load cell. Simulated sluicing of large simulated salt cake and hard pan waste coupons was also performed. Due to operational difficulties experienced with the Government supplied load cell, no meaningful results with respect to sluice stream impact pressure distribution or stream coherence were obtained. Sluice testing using 3000 psi salt cake simulants measured waste retrieval rates of approximately 12 Ml/day (17.6 ft{sup 3}/hr). Rates as high as 314 m{sup 3}/day (463 ft{sup 3}/hr) were measured against the lower strength salt cake simulants.

  7. Nationwide Buildings Energy Research enabled through an integrated Data Intensive Scientific Workflow and Advanced Analysis Environment

    SciTech Connect (OSTI)

    Kleese van Dam, Kerstin; Lansing, Carina S.; Elsethagen, Todd O.; Hathaway, John E.; Guillen, Zoe C.; Dirks, James A.; Skorski, Daniel C.; Stephan, Eric G.; Gorrissen, Willy J.; Gorton, Ian; Liu, Yan

    2014-01-31T23:59:59.000Z

    Modern workflow systems enable scientists to run ensemble simulations at unprecedented scales and levels of complexity, allowing them to study system sizes previously impossible to achieve, due to the inherent resource requirements needed for the modeling work. However as a result of these new capabilities the science teams suddenly also face unprecedented data volumes that they are unable to analyze with their existing tools and methodologies in a timely fashion. In this paper we will describe the ongoing development work to create an integrated data intensive scientific workflow and analysis environment that offers researchers the ability to easily create and execute complex simulation studies and provides them with different scalable methods to analyze the resulting data volumes. The integration of simulation and analysis environments is hereby not only a question of ease of use, but supports fundamental functions in the correlated analysis of simulation input, execution details and derived results for multi-variant, complex studies. To this end the team extended and integrated the existing capabilities of the Velo data management and analysis infrastructure, the MeDICi data intensive workflow system and RHIPE the R for Hadoop version of the well-known statistics package, as well as developing a new visual analytics interface for the result exploitation by multi-domain users. The capabilities of the new environment are demonstrated on a use case that focusses on the Pacific Northwest National Laboratory (PNNL) building energy team, showing how they were able to take their previously local scale simulations to a nationwide level by utilizing data intensive computing techniques not only for their modeling work, but also for the subsequent analysis of their modeling results. As part of the PNNL research initiative PRIMA (Platform for Regional Integrated Modeling and Analysis) the team performed an initial 3 year study of building energy demands for the US Eastern Interconnect domain, which they are now planning to extend to predict the demand for the complete century. The initial study raised their data demands from a few GBs to 400GB for the 3year study and expected tens of TBs for the full century.

  8. Development of advanced blanket performance under irradiation and system integration through JUPITER-II project

    SciTech Connect (OSTI)

    Abe, Katsunori; Kohyama, Akira; Tanaka, Satoru; Namba, C.; Terai, T.; Kunugi, T.; Muroga, Takeo; Hasegawa, Akira; Sagara, A.; Berk, S.; Zinkle, Steven J.; Sze, Dai Kai; Petti, D. A.; Abdou, Mohamed A.; Morley, Neil B.; Kurtz, Richard J.; Snead, Lance L.; Ghoniem, Nasr M.

    2008-12-01T23:59:59.000Z

    This report describes an outline of the activities of the JUPITER-II collaboration (japan-USA program of Irradiation/Integration test for Fusion Research-II), Which has bee carried out through six years (2001-2006) under Phase 4 of the collabroation implemented by Amendment 4 of Annex 1 to the DOE (United States Department of Energy)-MEXT (Ministry of Education ,Culture,Sports,Science and Technology) Cooperation. This program followed the RTNS-II Program (Phase1:1982-4986), the FFTF/MOTA Program (Phase2:1987-1994) and the JUPITER Program (Phase 3: 1995-2000) [1].

  9. Advanced Recovery and Integrated Extraction System (ARIES): The United State's demonstration line for pit disassembly and conversion

    SciTech Connect (OSTI)

    Nelson, Timothy O.

    1998-03-01T23:59:59.000Z

    The Advanced Recovery and Integrated Extraction System (ARIES) is a pit disassembly and conversion demonstration line at Los Alamos National Laboratory's plutonium facility. Pits are the core of a nuclear weapon that contains fissile material. With the end of the cold war, the United States began a program to dispose of the fissile material contained in surplus nuclear weapons. In January of 1997, the Department of Energy's Office of Fissile Material Disposition issued a Record of Decision (ROD) on the disposition of surplus plutonium. This decision contained a hybrid option for disposition of the plutonium, immobilization and mixed oxide fuel. ARIES is the cornerstone of the United States plutonium disposition program that supplies the pit demonstration plutonium feed material for either of these disposition pathways. Additionally, information from this demonstration is being used to design the United States Pit Disassembly and Conversion Facility. AH of the ARIES technologies were recently developed and incorporate waste minimization. The technologies include pit bisection, hydride/dehydride, metal to oxide conversion process, packaging, and nondestructive assay (NDA). The current schedule for the ARIES integrated Demonstration will begin in the Spring of 1998. The ARIES project involves a number of DOE sites including Los Alamos National Laboratory as the lead laboratory, Lawrence Livermore National Laboratory (LLNL), and Sandia National Laboratories. Moreover, the ARIES team is heavily involved in working with Russia in their pit disassembly and conversion activities.

  10. Identification and Resolution of Safety Issues for the Advanced Integral Type PWR

    SciTech Connect (OSTI)

    Kim, Woong Sik; Jo, Jong Chull; Yune, Young Gill; Kim, Hho Jung [Korea Institute of Nuclear Safety, 19 Kusung-dong, Yusung-ku, Taejon, 305-338 (Korea, Republic of)

    2004-07-01T23:59:59.000Z

    This paper presents the interim results of a study on the identification and resolution of safety issues for the AIPWR licensing. The safety issues discussed in this paper include (1) policy issues for which decision-makings are needed for the procedural requirements of licensing system in the regulatory policy point of view, (2) technical issues for which either development of new requirements or amendment of some existing requirements is needed, or (3) other technical issues for which safety verifications are required. The study covers (a) the assessment of applicability of the issues identified from the previous studies to the case of the AIPWR, (b) identification of safety issues through analysis of the international experiences in the design and licensing of advanced reactors, and technical review of the AIPWR design, and (c) development of the resolutions of safety issues, and application of the resolutions to the amendment of regulatory requirements and the licensing review of the AIPWR. As the results of this study, a total of twenty eight safety issues was identified: fourteen issues from the previous studies, including the establishment of design safety goals; four issues from the foreign practices and experiences, including the risk-informed licensing; and ten issues by the AIPWR design review, including reliability of passive safety systems. Ten issues of them have been already resolved and the succeeding study is under way to resolve the remaining ones. (authors)

  11. Integration of Photovoltaics into Building Energy Usage through Advanced Control of Rooftop Unit

    SciTech Connect (OSTI)

    Starke, Michael R [ORNL] [ORNL; Nutaro, James J [ORNL] [ORNL; Irminger, Philip [ORNL] [ORNL; Ollis, Benjamin [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK); Kuruganti, Phani Teja [ORNL] [ORNL; Fugate, David L [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    This paper presents a computational approach to forecast photovoltaic (PV) power in kW based on a neural network linkage of publicly available cloud cover data and on-site solar irradiance sensor data. We also describe a control approach to utilize rooftop air conditioning units (RTUs) to support renewable integration. The PV forecasting method is validated using data from a rooftop PV panel installed on the Distributed Energy, Communications, and Controls (DECC) laboratory at Oak Ridge National Laboratory. The validation occurs in multiple phases to ensure that each component of the approach is the best representation of the actual expected output. The control of the RTU is based on model predictive methods.

  12. INTRODUCTION TO SMART GRID Weichao Wang (UNCC), Yi Pan (Georgia State),

    E-Print Network [OSTI]

    Wang, Weichao

    INTRODUCTION TO SMART GRID Weichao Wang (UNCC), Yi Pan (Georgia State), Wenzhan Song (Georgia State) and Le Xie (Texas A&M) NSF SFS Project Team on "Integrated Learning Environment for Smart Grid Security" #12; Objective of National Power Grid Modernization Architecture of Smart Grid What is Smart Grid

  13. Sharing Smart Grid Experiences

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting the StageCanon! Shared Solar:Sharing

  14. Sandia Energy - SMART Grid

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley RuehlReportPeter H.Rohit Prasankumar HomeEnergy

  15. NERSC Grid Certificates

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1AllocationsNOVA Portal: Submit2014 NERSCFranklinGrid

  16. Model Developments for Development of Improved Emissions Scenarios: Developing Purchasing-Power Parity Models, Analyzing Uncertainty, and Developing Data Sets for Gridded Integrated Assessment Models

    SciTech Connect (OSTI)

    Yang, Zili; Nordhaus, William

    2009-03-19T23:59:59.000Z

    In the duration of this project, we finished the main tasks set up in the initial proposal. These tasks include: setting up the basic platform in GAMS language for the new RICE 2007 model; testing various model structure of RICE 2007; incorporating PPP data set in the new RICE model; developing gridded data set for IA modeling.

  17. Now Available: Smart Grid Investments Improve Grid Reliability...

    Energy Savers [EERE]

    Smart Grid Investments Improve Grid Reliability, Resilience, and Storm Responses (November 2014) Now Available: Smart Grid Investments Improve Grid Reliability, Resilience, and...

  18. Advanced Systems of Efficient Use of Electrical Energy SURE ...

    Open Energy Info (EERE)

    Advanced Systems of Efficient Use of Electrical Energy SURE (Smart Grid Project) Jump to: navigation, search Project Name Advanced Systems of Efficient Use of Electrical Energy...

  19. Sandia Energy - Sandians on the Cover of Advanced Functional Materials

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757KelleyEffectson the Cover of Advanced Functional

  20. Questions and Answers for the Smart Grid Investment Grant Program...

    Office of Environmental Management (EM)

    Questions and answers related to the reporting of meter installations in the SmartGrid Integrated Project Reporting Information System (SIPRIS), both for the intial report...

  1. Questions and Answers for the Smart Grid Investment Grant Program...

    Office of Environmental Management (EM)

    Retained in SIPRIS Questions and answers related to the reporting of jobs in the SmartGrid Integrated Project Reporting Information System (SIPRIS), both for the intial report...

  2. Challenge problem and milestones for : Nuclear Energy Advanced Modeling and Simulation (NEAMS) waste Integrated Performance and Safety Codes (IPSC).

    SciTech Connect (OSTI)

    Freeze, Geoffrey A.; Wang, Yifeng; Howard, Robert; McNeish, Jerry A.; Schultz, Peter Andrew; Arguello, Jose Guadalupe, Jr.

    2010-09-01T23:59:59.000Z

    This report describes the specification of a challenge problem and associated challenge milestones for the Waste Integrated Performance and Safety Codes (IPSC) supporting the U.S. Department of Energy (DOE) Office of Nuclear Energy Advanced Modeling and Simulation (NEAMS) Campaign. The NEAMS challenge problems are designed to demonstrate proof of concept and progress towards IPSC goals. The goal of the Waste IPSC is to develop an integrated suite of modeling and simulation capabilities to quantitatively assess the long-term performance of waste forms in the engineered and geologic environments of a radioactive waste storage or disposal system. The Waste IPSC will provide this simulation capability (1) for a range of disposal concepts, waste form types, engineered repository designs, and geologic settings, (2) for a range of time scales and distances, (3) with appropriate consideration of the inherent uncertainties, and (4) in accordance with robust verification, validation, and software quality requirements. To demonstrate proof of concept and progress towards these goals and requirements, a Waste IPSC challenge problem is specified that includes coupled thermal-hydrologic-chemical-mechanical (THCM) processes that describe (1) the degradation of a borosilicate glass waste form and the corresponding mobilization of radionuclides (i.e., the processes that produce the radionuclide source term), (2) the associated near-field physical and chemical environment for waste emplacement within a salt formation, and (3) radionuclide transport in the near field (i.e., through the engineered components - waste form, waste package, and backfill - and the immediately adjacent salt). The initial details of a set of challenge milestones that collectively comprise the full challenge problem are also specified.

  3. Data Management and Analysis for the Earth System Grid

    SciTech Connect (OSTI)

    Williams, D N; Ananthakrishnan, R; Bernholdt, D; Bharathi, S; Brown, D; Chen, M; Chervenak, A L; Cinquini, L; Drach, R; Foster, I T; Fox, P; Hankin, S; Henson, V; Jones, P; Middleton, D E; Schwidder, J; Schweitzer, R; Schuler, R; Shoshani, A; Siebenlist, F; Sim, A; Strand, W G; Wilhelmi, N; Su, M

    2008-06-19T23:59:59.000Z

    The international climate community is expected to generate hundreds of petabytes of simulation data within the next five to seven years. This data must be accessed and analyzed by thousands of analysts worldwide in order to provide accurate and timely estimates of the likely impact of climate change on physical, biological, and human systems. Climate change is thus not only a scientific challenge of the first order but also a major technological challenge. To address this technological challenge, the Earth System Grid Center for Enabling Technologies (ESG-CET) has been established within the U.S. Department of Energy's Scientific Discovery through Advanced Computing (SciDAC)-2 program, with support from the offices of Advanced Scientific Computing Research and Biological and Environmental Research. ESG-CET's mission is to provide climate researchers worldwide with access to the data, information, models, analysis tools, and computational capabilities required to make sense of enormous climate simulation datasets. Its specific goals are to (1) make data more useful to climate researchers by developing Grid technology that enhances data usability; (2) meet specific distributed database, data access, and data movement needs of national and international climate projects; (3) provide a universal and secure web-based data access portal for broad multi-model data collections; and (4) provide a wide-range of Grid-enabled climate data analysis tools and diagnostic methods to international climate centers and U.S. government agencies. Building on the successes of the previous Earth System Grid (ESG) project, which has enabled thousands of researchers to access tens of terabytes of data from a small number of ESG sites, ESG-CET is working to integrate a far larger number of distributed data providers, high-bandwidth wide-area networks, and remote computers in a highly collaborative problem-solving environment.

  4. Electric Grid State Estimators for Distribution Systems with Microgrids

    E-Print Network [OSTI]

    Gupta, Vijay

    46556 Emails: {jhuang6,vgupta2,huang}@nd.edu Abstract--In the development of smart grid, state] into the distribution systems of the power grid. Such integration complicates the operation of distribution systemsElectric Grid State Estimators for Distribution Systems with Microgrids Jing Huang, Vijay Gupta

  5. Grid Cells and Theta as Oscillatory Interference: Theory and Predictions

    E-Print Network [OSTI]

    Burgess, Neil

    Grid Cells and Theta as Oscillatory Interference: Theory and Predictions Neil Burgess* ABSTRACT: The oscillatory interference model [Burgess et al. (2007) Hippocampus 17:801­802] of grid cell firing is reviewed as an algorith- mic level description of path integration and as an implementation level description of grid

  6. Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study

    E-Print Network [OSTI]

    Cappers, Peter

    2012-01-01T23:59:59.000Z

    Smart Grid, and specifically AMI, can play in mitigating variable generation integrationSmart Grid could be the “silver bullet” for mitigating variable generation integrationSmart Grid could be the “silver bullet” for mitigating variable generation integration

  7. IEEE TRANSACTIONS ON SMART GRID, VOL. 2, NO. 4, DECEMBER 2011 645 Malicious Data Attacks on the Smart Grid

    E-Print Network [OSTI]

    Tong, Lang

    between users and suppliers. While such integration is essential for a future "smart" grid, it also makesIEEE TRANSACTIONS ON SMART GRID, VOL. 2, NO. 4, DECEMBER 2011 645 Malicious Data Attacks on the Smart Grid Oliver Kosut, Member, IEEE, Liyan Jia, Robert J. Thomas, Life Fellow, IEEE, and Lang Tong

  8. Security on the US Fusion Grid

    SciTech Connect (OSTI)

    Burruss, Justin R.; Fredian, Tom W.; Thompson, Mary R.

    2005-06-01T23:59:59.000Z

    The National Fusion Collaboratory project is developing and deploying new distributed computing and remote collaboration technologies with the goal of advancing magnetic fusion energy research. This work has led to the development of the US Fusion Grid (FusionGrid), a computational grid composed of collaborative, compute, and data resources from the three large US fusion research facilities and with users both in the US and in Europe. Critical to the development of FusionGrid was the creation and deployment of technologies to ensure security in a heterogeneous environment. These solutions to the problems of authentication, authorization, data transfer, and secure data storage, as well as the lessons learned during the development of these solutions, may be applied outside of FusionGrid and scale to future computing infrastructures such as those for next-generation devices like ITER.

  9. Data security on the national fusion grid

    SciTech Connect (OSTI)

    Burruss, Justine R.; Fredian, Tom W.; Thompson, Mary R.

    2005-06-01T23:59:59.000Z

    The National Fusion Collaboratory project is developing and deploying new distributed computing and remote collaboration technologies with the goal of advancing magnetic fusion energy research. This work has led to the development of the US Fusion Grid (FusionGrid), a computational grid composed of collaborative, compute, and data resources from the three large US fusion research facilities and with users both in the US and in Europe. Critical to the development of FusionGrid was the creation and deployment of technologies to ensure security in a heterogeneous environment. These solutions to the problems of authentication, authorization, data transfer, and secure data storage, as well as the lessons learned during the development of these solutions, may be applied outside of FusionGrid and scale to future computing infrastructures such as those for next-generation devices like ITER.

  10. Start | Grid View | Browse by Day OR Group/Topical | Author Index | Keyword Index | Personal Scheduler Optimal Design of Energy-Efficient Integrated Distillation Processes for

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Scheduler Optimal Design of Energy-Efficient Integrated Distillation Processes for Multicomponent Ideal Optimal design of energy-efficient integrated distillation processes for multicomponent ideal and non, The Netherlands The dividing wall distillation columns (DWC) find increased use in industrial practice

  11. Microsoft PowerPoint - E_forum_1_What is a Smart Grid_Miller...

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

    Optimizes Assets & Operates Efficiently Little integration with asset management Deep integration of grid intelligence with asset management software Self Heals Protects assets...

  12. Web Portal for Photonic Technologies Using Grid Infrastructures

    E-Print Network [OSTI]

    H. V. Astsatryan; T. V. Gevorgyan; A. R. Shahinyan

    2013-01-09T23:59:59.000Z

    The modeling of physical processes is an integral part of scientific and technical research. In this area, the Extendible C++ Application in Quantum Technologies (ECAQT) package provides the numerical simulations and modeling of complex quantum systems in the presence of decoherence with wide applications in photonics. It allows creating models of interacting complex systems and simulates their time evolution with a number of available time-evolution drivers. Physical simulations involving massive amounts of calculations are often executed on distributed computing infrastructures. It is often difficult for non expert users to use such computational infrastructures or even to use advanced libraries over the infrastructures, because they often require being familiar with middleware and tools, parallel programming techniques and packages. The P-RADE Grid Portal is a Grid portal solution that allows users to manage the whole life-cycle for executing a parallel application on the computing Grid infrastructures. The article describes the functionality and the structure of the web portal based on ECAQT package.

  13. Earth System Grid II, Turning Climate Datasets into Community Resources

    SciTech Connect (OSTI)

    Middleton, Don

    2006-08-01T23:59:59.000Z

    The Earth System Grid (ESG) II project, funded by the Department of Energy’s Scientific Discovery through Advanced Computing program, has transformed climate data into community resources. ESG II has accomplished this goal by creating a virtual collaborative environment that links climate centers and users around the world to models and data via a computing Grid, which is based on the Department of Energy’s supercomputing resources and the Internet. Our project’s success stems from partnerships between climate researchers and computer scientists to advance basic and applied research in the terrestrial, atmospheric, and oceanic sciences. By interfacing with other climate science projects, we have learned that commonly used methods to manage and remotely distribute data among related groups lack infrastructure and under-utilize existing technologies. Knowledge and expertise gained from ESG II have helped the climate community plan strategies to manage a rapidly growing data environment more effectively. Moreover, approaches and technologies developed under the ESG project have impacted datasimulation integration in other disciplines, such as astrophysics, molecular biology and materials science.

  14. advanced manufacturing office | netl.doe.gov

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhatY-12Zero Energy Ready Home4managementAdvanced

  15. IEEE 1547 and 2030 Standards for Distributed Energy Resources Interconnection and Interoperability with the Electricity Grid

    SciTech Connect (OSTI)

    Basso, T.

    2014-12-01T23:59:59.000Z

    Public-private partnerships have been a mainstay of the U.S. Department of Energy and the National Renewable Energy Laboratory (DOE/NREL) approach to research and development. These partnerships also include technology development that enables grid modernization and distributed energy resources (DER) advancement, especially renewable energy systems integration with the grid. Through DOE/NREL and industry support of Institute of Electrical and Electronics Engineers (IEEE) standards development, the IEEE 1547 series of standards has helped shape the way utilities and other businesses have worked together to realize increasing amounts of DER interconnected with the distribution grid. And more recently, the IEEE 2030 series of standards is helping to further realize greater implementation of communications and information technologies that provide interoperability solutions for enhanced integration of DER and loads with the grid. For these standards development partnerships, for approximately $1 of federal funding, industry partnering has contributed $5. In this report, the status update is presented for the American National Standards IEEE 1547 and IEEE 2030 series of standards. A short synopsis of the history of the 1547 standards is first presented, then the current status and future direction of the ongoing standards development activities are discussed.

  16. Communication Needs and Integration Options

    E-Print Network [OSTI]

    Communication Needs and Integration Options for AMI in the Smart Grid Future Grid Initiative White System #12;Communication Needs and Integration Options for AMI in the Smart Grid Prepared for the Project #12;ii Executive Summary This white paper analyzes the current state of communications

  17. Smart Grid Consortium, Response of New York State Smart Grid...

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

    Consortium, Response of New York State Smart Grid Addressing Policy and Logistical Challenges Smart Grid Consortium, Response of New York State Smart Grid Addressing Policy and...

  18. Grid Interaction Tech Team, and International Smart Grid Collaboration...

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

    Team, and International Smart Grid Collaboration Grid Interaction Tech Team, and International Smart Grid Collaboration 2012 DOE Hydrogen and Fuel Cells Program and Vehicle...

  19. 2012 Smart Grid Peer Review Presentations - Day 2 Smart Grid...

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

    Smart Grid Panel Discussion 2012 Smart Grid Peer Review Presentations - Day 2 Smart Grid Panel Discussion The Office of Electricity Delivery and Energy Reliability held its...

  20. Sandia Energy » SMART Grid

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitche Home About npitche ThisStrategicThird AnnualSandia

  1. GridLAB-D: An Agent-Based Simulation Framework for Smart Grids

    SciTech Connect (OSTI)

    Chassin, David P.; Fuller, Jason C.; Djilali, Ned

    2014-06-23T23:59:59.000Z

    Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies, and the plethora of other resources and assets that are becoming part of modern electricity production, delivery, and consumption systems. As a result, the US Department of Energy’s Office of Electricity commissioned the development of a new type of power system simulation tool called GridLAB-D that uses an agent-based approach to simulating smart grids. This paper presents the numerical methods and approach to time-series simulation used by GridLAB-D and reviews applications in power system studies, market design, building control system design, and integration of wind power in a smart grid.

  2. GridLAB-D: An Agent-Based Simulation Framework for Smart Grids

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

    Chassin, David P.; Fuller, Jason C.; Djilali, Ned

    2014-01-01T23:59:59.000Z

    Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies, and the plethora of other resources and assets that are becoming part of modern electricity production, delivery, and consumption systems. As a result, the US Department of Energy’s Office of Electricity commissioned the development of a new type of power system simulation tool called GridLAB-D that uses an agent-based approach to simulating smart grids. This paper presents the numerical methods and approach to time-series simulation used by GridLAB-D and reviews applications in power system studies, market design, building control systemmore »design, and integration of wind power in a smart grid.« less

  3. PNNL Future Power Grid Initiative-developed GridOPTICS Software System (GOSS)

    SciTech Connect (OSTI)

    None

    2014-11-03T23:59:59.000Z

    The power grid is changing and evolving. One aspect of this change is the growing use of smart meters and other devices, which are producing large volumes of useful data. However, in many cases, the data can’t be translated quickly into actionable guidance to improve grid performance. There's a need for innovative tools. The GridOPTICS(TM) Software System, or GOSS, developed through PNNL's Future Power Grid Initiative, is open source and became publicly available in spring 2014. The value of this middleware is that it easily integrates grid applications with sources of data and facilitates communication between them. Such a capability provides a foundation for developing a range of applications to improve grid management.

  4. IEEE TRANSACTIONS ON SMART GRID, VOL. 2, NO. 4, DECEMBER 2011 643 Guest Editorial

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    IEEE TRANSACTIONS ON SMART GRID, VOL. 2, NO. 4, DECEMBER 2011 643 Guest Editorial Cyber, Physical, and System Security for Smart Grid The vision of a smart grid relies heavily on the information, facilitating the integration of renewable energy sources into the grid, and empowering the consumer with tools

  5. Grid computing and molecular simulations: the vision of the eMinerals project

    E-Print Network [OSTI]

    Cambridge, University of

    1 Grid computing and molecular simulations: the vision of the eMinerals project Martin T Dove1, London WC1E 7HX Abstract This paper discusses a number of aspects of using grid computing methods for a useful grid infrastructure are discussed, including the integration of compute and data grids, automatic

  6. Advanced Security Infrastructures for Grid Education

    E-Print Network [OSTI]

    Sinnott, R.O.

    Sinnott,R.O. Watt,J. Stell,A.J. Chadwick,D.W. The 12th International Conference on Information Systems Analysis and Synthesis (ISAS 2006), Orlando, Florida, July 2006

  7. The Impact of Grid on Health Care Digital Repositories

    E-Print Network [OSTI]

    Donno, Flavia; CERN. Geneva. IT Department

    2008-01-01T23:59:59.000Z

    Grid computing has attracted worldwide attention in a variety of applications like Health Care. In this paper we identified the Grid services that could facilitate the integration and interoperation of Health Care data and frameworks world-wide. While many of the current Health Care Grid projects address issues such as data location and description on the Grid and the security aspects, the problems connected to data storage, integrity, preservation and distribution have been neglected. We describe the currently available Grid storage services and protocols that can come in handy when dealing with those problems. We further describe a Grid infrastructure to build a cooperative Health Care environment based on currently available Grid services and a service able to validate it.

  8. Grid Logging: Best Practices Guide

    E-Print Network [OSTI]

    Tierney, Brian L

    2008-01-01T23:59:59.000Z

    Revision date: March 1, 2008 Grid Logging: Best Practicesis to help developers of Grid middleware and applicationlog files that will be useful to Grid administrators, users,

  9. For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid

    E-Print Network [OSTI]

    Galli, Stefano; Wang, Zhifang

    2010-01-01T23:59:59.000Z

    Is Power Line Communication (PLC) a good candidate for Smart Grid applications? The objective of this paper is to address this important question. To do so we provide an overview of what PLC can deliver today by surveying its history and describing the most recent technological advances in the area. We then address Smart Grid applications as instances of sensor networking and network control problems and discuss the main conclusion one can draw from the literature on these subjects. The application scenario of PLC within the Smart Grid is then analyzed in detail. Since a necessary ingredient of network planning is modeling, we also discuss two aspects of engineering modeling that relate to our question. The first aspect is modeling the PLC channel through fading models. The second aspect we review is the Smart Grid control and traffic modeling problem which allows us to achieve a better understanding of the communications requirements. Finally, this paper reports recent studies on the electrical and topologic...

  10. Smart Grid Overview

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

    Smart Grid Overview Ben Kroposki, PhD, PE Director, Energy Systems IntegraLon NaLonal Renewable Energy Laboratory What is t he S mart Grid? and DER Source: NISTEPRI Architecture...

  11. Fuel rod support grid

    DOE Patents [OSTI]

    Downs, Robert E. (Monroeville, PA); Schwallie, Ambrose L. (Greensburg, PA)

    1985-01-01T23:59:59.000Z

    A grid for the support of nuclear fuel rods arranged in a triangular array. The grid is formed by concentric rings of strap joined by radially arranged web sections.

  12. The soft grid

    E-Print Network [OSTI]

    Kardasis, Ari (Ari David)

    2011-01-01T23:59:59.000Z

    The grid in architecture is a systematic organization of space. The means that architects use to organize space are, almost by definition, rigid and totalizing. The Cartesian grid, which will serve as the antagonist of the ...

  13. Method of grid generation

    DOE Patents [OSTI]

    Barnette, Daniel W. (Veguita, NM)

    2002-01-01T23:59:59.000Z

    The present invention provides a method of grid generation that uses the geometry of the problem space and the governing relations to generate a grid. The method can generate a grid with minimized discretization errors, and with minimal user interaction. The method of the present invention comprises assigning grid cell locations so that, when the governing relations are discretized using the grid, at least some of the discretization errors are substantially zero. Conventional grid generation is driven by the problem space geometry; grid generation according to the present invention is driven by problem space geometry and by governing relations. The present invention accordingly can provide two significant benefits: more efficient and accurate modeling since discretization errors are minimized, and reduced cost grid generation since less human interaction is required.

  14. Cloud feedback studies with a physics grid

    SciTech Connect (OSTI)

    Dipankar, Anurag [Max Planck Institute for Meteorology Hamburg; Stevens, Bjorn [Max Planck Institute for Meteorology Hamburg

    2013-02-07T23:59:59.000Z

    During this project the investigators implemented a fully parallel version of dual-grid approach in main frame code ICON, implemented a fully conservative first-order interpolation scheme for horizontal remapping, integrated UCLA-LES micro-scale model into ICON to run parallely in selected columns, and did cloud feedback studies on aqua-planet setup to evaluate the classical parameterization on a small domain. The micro-scale model may be run in parallel with the classical parameterization, or it may be run on a "physics grid" independent of the dynamics grid.

  15. Interoperable PKI Data Distribution in Computational Grids

    SciTech Connect (OSTI)

    Pala, Massimiliano; Cholia, Shreyas; Rea, Scott A.; Smith, Sean W.

    2008-07-25T23:59:59.000Z

    One of the most successful working examples of virtual organizations, computational grids need authentication mechanisms that inter-operate across domain boundaries. Public Key Infrastructures(PKIs) provide sufficient flexibility to allow resource managers to securely grant access to their systems in such distributed environments. However, as PKIs grow and services are added to enhance both security and usability, users and applications must struggle to discover available resources-particularly when the Certification Authority (CA) is alien to the relying party. This article presents how to overcome these limitations of the current grid authentication model by integrating the PKI Resource Query Protocol (PRQP) into the Grid Security Infrastructure (GSI).

  16. SmartGrid Information | Department of Energy

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9MorganYou are here HomeSmart Grid SmartSmartGrid

  17. Achieving Differential Privacy of Data Disclosure in the Smart Grid

    E-Print Network [OSTI]

    Wang, Yu

    -grained usage data collection. For example, smart metering data could reveal highly accurate real-time home. Index Terms--Smart Grid, Smart Meter, Privacy, Differential Privacy, Data Disclosure I. INTRODUCTION With the rapid development of the advanced meter infras- tructure (AMI) [1] as part of a move to smart grids

  18. FUTURE POWER GRID INITIATIVE A Statistical State Prediction

    E-Print Network [OSTI]

    and analytics capabilities for the power November 2012 PNNL-SA-90022 Ning Zhou Pacific Northwest National Laboratory (509) 372-6438 ning.zhou@pnnl.gov ABOUT FPGI The Future Power Grid Initiative (FPGI) will deliver Northwest National Laboratory's (PNNL) national electric grid research facility, the FPGI will advance

  19. Brookhaven National Laboratory Solar Energy and Smarter Grid

    E-Print Network [OSTI]

    Brookhaven National Laboratory Solar Energy and Smarter Grid Research Update Presented to BNL CAC on Market Barriers #12;5 BNL's research agenda for solar energy and smarter electric grid focuses on two key areas Advancement of Solar Energy Generation in Northeast · Characterization of renewable generation

  20. Power Systems Integration Laboratory (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01T23:59:59.000Z

    This fact sheet describes the purpose, lab specifications, applications scenarios, and information on how to partner with NREL's Power Systems Integration Laboratory at the Energy Systems Integration Facility. At NREL's Power Systems Integration Laboratory in the Energy Systems Integration Facility (ESIF), research focuses on developing and testing large-scale distributed energy systems for grid-connected, stand-alone, and microgrid applications. The laboratory can accommodate large power system components such as inverters for photovoltaic (PV) and wind systems, diesel and natural gas generators, battery packs, microgrid interconnection switchgear, and vehicles. Closely coupled with the research electrical distribution bus at the ESIF, the Power Systems Integration Laboratory will offer power testing capability of megawatt-scale DC and AC power systems, as well as advanced hardware-in-the-loop and model-in-the-loop simulation capabilities. Thermal heating and cooling loops and fuel also allow testing of combined heating/cooling and power systems (CHP).

  1. GridWise Standards Mapping Overview

    SciTech Connect (OSTI)

    Bosquet, Mia L.

    2004-04-01T23:59:59.000Z

    ''GridWise'' is a concept of how advanced communications, information and controls technology can transform the nation's energy system--across the spectrum of large scale, central generation to common consumer appliances and equipment--into a collaborative network, rich in the exchange of decision making information and an abundance of market-based opportunities (Widergren and Bosquet 2003) accompanying the electric transmission and distribution system fully into the information and telecommunication age. This report summarizes a broad review of standards efforts which are related to GridWise--those which could ultimately contribute significantly to advancements toward the GridWise vision, or those which represent today's current technological basis upon which this vision must build.

  2. Integrated Distribution Management System for Alabama Principal Investigator

    SciTech Connect (OSTI)

    Schatz, Joe

    2013-03-31T23:59:59.000Z

    Southern Company Services, under contract with the Department of Energy, along with Alabama Power, Alstom Grid (formerly AREVA T&D) and others moved the work product developed in the first phase of the Integrated Distribution Management System (IDMS) from “Proof of Concept” to true deployment through the activity described in this Final Report. This Project – Integrated Distribution Management Systems in Alabama – advanced earlier developed proof of concept activities into actual implementation and furthermore completed additional requirements to fully realize the benefits of an IDMS. These tasks include development and implementation of a Distribution System based Model that enables data access and enterprise application integration.

  3. Game Theoretic Methods for the Smart Grid

    E-Print Network [OSTI]

    Saad, Walid; Poor, H Vincent; Ba?ar, Tamer

    2012-01-01T23:59:59.000Z

    The future smart grid is envisioned as a large-scale cyber-physical system encompassing advanced power, communications, control, and computing technologies. In order to accommodate these technologies, it will have to build on solid mathematical tools that can ensure an efficient and robust operation of such heterogeneous and large-scale cyber-physical systems. In this context, this paper is an overview on the potential of applying game theory for addressing relevant and timely open problems in three emerging areas that pertain to the smart grid: micro-grid systems, demand-side management, and communications. In each area, the state-of-the-art contributions are gathered and a systematic treatment, using game theory, of some of the most relevant problems for future power systems is provided. Future opportunities for adopting game theoretic methodologies in the transition from legacy systems toward smart and intelligent grids are also discussed. In a nutshell, this article provides a comprehensive account of the...

  4. Advanced Workshop in Regulation and

    E-Print Network [OSTI]

    Lin, Xiaodong

    Advanced Workshop in Regulation and Competition 2011-2012 Conflicting Technological and Competitive Forces in Regulated Industries January 13, 2012 Smart Grid and Rates Location: Rutgers Business School 1:40pm "Smart Grid in Maryland" Kurt Strunk, NERA Economic Consulting, 1:40pm-2:05pm "Gas Pipeline Rates

  5. NSTX-U Advances in Real-time C++11 on Linux | Princeton Plasma Physics Lab

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck PlatooningJefferson Lab |NSTX-U Advances in Real-time

  6. DOE: Quantifying the Value of Hydropower in the Electric Grid

    SciTech Connect (OSTI)

    None

    2012-12-31T23:59:59.000Z

    The report summarizes research to Quantify the Value of Hydropower in the Electric Grid. This 3-year DOE study focused on defining value of hydropower assets in a changing electric grid. Methods are described for valuation and planning of pumped storage and conventional hydropower. The project team conducted plant case studies, electric system modeling, market analysis, cost data gathering, and evaluations of operating strategies and constraints. Five other reports detailing these research results are available a project website, www.epri.com/hydrogrid. With increasing deployment of wind and solar renewable generation, many owners, operators, and developers of hydropower have recognized the opportunity to provide more flexibility and ancillary services to the electric grid. To quantify value of services, this study focused on the Western Electric Coordinating Council region. A security-constrained, unit commitment and economic dispatch model was used to quantify the role of hydropower for several future energy scenarios up to 2020. This hourly production simulation considered transmission requirements to deliver energy, including future expansion plans. Both energy and ancillary service values were considered. Addressing specifically the quantification of pumped storage value, no single value stream dominated predicted plant contributions in various energy futures. Modeling confirmed that service value depends greatly on location and on competition with other available grid support resources. In this summary, ten different value streams related to hydropower are described. These fell into three categories; operational improvements, new technologies, and electricity market opportunities. Of these ten, the study was able to quantify a monetary value in six by applying both present day and future scenarios for operating the electric grid. This study confirmed that hydropower resources across the United States contribute significantly to operation of the grid in terms of energy, capacity, and ancillary services. Many potential improvements to existing hydropower plants were found to be cost-effective. Pumped storage is the most likely form of large new hydro asset expansions in the U.S. however, justifying investments in new pumped storage plants remains very challenging with current electricity market economics. Even over a wide range of possible energy futures, up to 2020, no energy future was found to bring quantifiable revenues sufficient to cover estimated costs of plant construction. Value streams not quantified in this study may provide a different cost-benefit balance and an economic tipping point for hydro. Future studies are essential in the quest to quantify the full potential value. Additional research should consider the value of services provided by advanced storage hydropower and pumped storage at smaller time steps for integration of variable renewable resources, and should include all possible value streams such as capacity value and portfolio benefits i.e.; reducing cycling on traditional generation.

  7. Smart Grid Interoperability Maturity Model

    SciTech Connect (OSTI)

    Widergren, Steven E.; Levinson, Alex; Mater, J.; Drummond, R.

    2010-04-28T23:59:59.000Z

    The integration of automation associated with electricity resources (including transmission and distribution automation and demand-side resources operated by end-users) is key to supporting greater efficiencies and incorporating variable renewable resources and electric vehicles into the power system. The integration problems faced by this community are analogous to those faced in the health industry, emergency services, and other complex communities with many stakeholders. To highlight this issue and encourage communication and the development of a smart grid interoperability community, the GridWise Architecture Council (GWAC) created an Interoperability Context-Setting Framework. This "conceptual model" has been helpful to explain the importance of organizational alignment in addition to technical and informational interface specifications for "smart grid" devices and systems. As a next step to building a community sensitive to interoperability, the GWAC is investigating an interoperability maturity model (IMM) based on work done by others to address similar circumstances. The objective is to create a tool or set of tools that encourages a culture of interoperability in this emerging community. The tools would measure status and progress, analyze gaps, and prioritize efforts to improve the situation.

  8. Grid Integrated Distributed PV (GridPV) Version 2.

    SciTech Connect (OSTI)

    Reno, Matthew J.; Coogan, Kyle

    2014-12-01T23:59:59.000Z

    This manual provides the documentation of the MATLAB toolbox of functions for using OpenDSS to simulate the impact of solar energy on the distribution system. The majority of the functio ns are useful for interfacing OpenDSS and MATLAB, and they are of generic use for commanding OpenDSS from MATLAB and retrieving information from simulations. A set of functions is also included for modeling PV plant output and setting up the PV plant in th e OpenDSS simulation. The toolbox contains functions for modeling the OpenDSS distribution feeder on satellite images with GPS coordinates. Finally, example simulations functions are included to show potential uses of the toolbox functions. Each function i n the toolbox is documented with the function use syntax, full description, function input list, function output list, example use, and example output.

  9. Grid Integration of Offshore Windparks (Smart Grid Project) | Open Energy

    Open Energy Info (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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetec AG ContractingGreenOrderNebraska: EnergyStrategy |Information

  10. Understanding The Smart Grid

    SciTech Connect (OSTI)

    NONE

    2007-11-15T23:59:59.000Z

    The report provides an overview of what the Smart Grid is and what is being done to define and implement it. The electric industry is preparing to undergo a transition from a centralized, producer-controlled network to a decentralized, user-interactive one. Not only will the technology involved in the electric grid change, but the entire business model of the industry will change too. A major objective of the report is to identify the changes that the Smart Grid will bring about so that industry participants can be prepared to face them. A concise overview of the development of the Smart Grid is provided. It presents an understanding of what the Smart Grid is, what new business opportunities or risks might come about due to its introduction, and what activities are already taking place regarding defining or implementing the Smart Grid. This report will be of interest to the utility industry, energy service providers, aggregators, and regulators. It will also be of interest to home/building automation vendors, information technology vendors, academics, consultants, and analysts. The scope of the report includes an overview of the Smart Grid which identifies the main components of the Smart Grid, describes its characteristics, and describes how the Smart Grid differs from the current electric grid. The overview also identifies the key concepts involved in the transition to the Smart Grid and explains why a Smart Grid is needed by identifying the deficiencies of the current grid and the need for new investment. The report also looks at the impact of the Smart Grid, identifying other industries which have gone through a similar transition, identifying the overall benefits of the Smart Grid, and discussing the impact of the Smart Grid on industry participants. Furthermore, the report looks at current activities to implement the Smart Grid including utility projects, industry collaborations, and government initiatives. Finally, the report takes a look at key technology providers involved in the Smart Grid and provides profiles on them including contact information, company overviews, technology reviews, and key Smart Grid activities.

  11. FY 2012 Budget Request Advanced Research Projects Agency - Energy

    Energy Savers [EERE]

    36,000 Transmission Reliability 18,000 Advanced Modeling Grid Research 11,000 Energy Systems Predictive Capability 7,000 Smart Grid 24,400 Cyber Security for Energy Delivery...

  12. Vehicle to Grid Demonstration Project

    SciTech Connect (OSTI)

    Willett Kempton; Meryl Gardner; Michael Hidrue; Fouad Kamilev; Sachin Kamboj; Jon Lilley; Rodney McGee; George Parsons; Nat Pearre; Keith Trnka

    2010-12-31T23:59:59.000Z

    This report summarizes the activities and accomplishments of a two-year DOE-funded project on Grid-Integrated Vehicles (GIV) with vehicle to grid power (V2G). The project included several research and development components: an analysis of US driving patterns; an analysis of the market for EVs and V2G-capable EVs; development and testing of GIV components (in-car and in-EVSE); interconnect law and policy; and development and filing of patents. In addition, development activities included GIV manufacturing and licensing of technologies developed under this grant. Also, five vehicles were built and deployed, four for the fleet of the State of Delaware, plus one for the University of Delaware fleet.

  13. Thermal Control & System Integration

    Broader source: Energy.gov [DOE]

    The thermal control and system integration activity focuses on issues such as the integration of motor and power control technologies and the development of advanced thermal control technologies....

  14. EL Program: Smart Grid Program Manager: George Arnold, Designated Goal Liaison; David Wollman,

    E-Print Network [OSTI]

    Magee, Joseph W.

    EL Program: Smart Grid Program Manager: George Arnold, Designated Goal Liaison; David Wollman, Smart Grid and Cyber-Physical Systems Program Office, Engineering Laboratory Office, x2433; Dean and power flows, and additional advancements to create a smart grid. In response to a mandate given

  15. FUTURE POWER GRID INITIATIVE A Multi-layer Data-Driven

    E-Print Network [OSTI]

    » Enhances the ability of control center personnel to anticipate and proactively address electric power grid on the Electricity Infrastructure Operations Center (EIOC), the Pacific Northwest National Laboratory's (PNNLFUTURE POWER GRID INITIATIVE A Multi-layer Data-Driven Advanced Reasoning Tool for Smart Grid

  16. Co-Simulation of Detailed Whole Building with the Power System to Study Smart Grid Applications

    SciTech Connect (OSTI)

    Makhmalbaf, Atefe; Fuller, Jason C.; Srivastava, Viraj; Ciraci, Selim; Daily, Jeffrey A.

    2014-12-24T23:59:59.000Z

    Modernization of the power system in a way that ensures a sustainable energy system is arguably one of the most pressing concerns of our time. Buildings are important components in the power system. First, they are the main consumers of electricity and secondly, they do not have constant energy demand. Conventionally, electricity has been difficult to store and should be consumed as it is generated. Therefore, maintaining the demand and supply is critical in the power system. However, to reduce the complexity of power models, buildings (i.e., end-use loads) are traditionally modeled and represented as aggregated “dumb” nodes in the power system. This means we lack effective detailed whole building energy models that can support requirements and emerging technologies of the smart power grid. To gain greater insight into the relationship between building energy demand and power system performance, it is important to constitute a co-simulation framework to support detailed building energy modeling and simulation within the power system to study capabilities promised by the modern power grid. This paper discusses ongoing work at Pacific Northwest National Laboratory and presents underlying tools and framework needed to enable co-simulation of building, building energy systems and their control in the power system to study applications such as demand response, grid-based HVAC control, and deployment of buildings for ancillary services. The optimal goal is to develop an integrated modeling and simulation platform that is flexible, reusable, and scalable. Results of this work will contribute to future building and power system studies, especially those related to the integrated ‘smart grid’. Results are also expected to advance power resiliency and local (micro) scale grid studies where several building and renewable energy systems transact energy directly. This paper also reviews some applications that can be supported and studied using the framework introduced to understand their implications before they can be successfully implemented in the power system.

  17. Smart Grid Primer (Smart Grid Books) | Department of Energy

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9MorganYou are here Home »SmallNew

  18. Grid Interaction Tech Team, and International Smart Grid Collaboration |

    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 DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGrid Integration and the Carrying Capacity of the

  19. August 2012 CIP Report Focuses on Smart Grid Security

    Broader source: Energy.gov [DOE]

    The August 2012 issue of The CIP Report from George Mason University's Center for Infrastructure Protection and Homeland Security highlights the significance and challenges to securing the smart grid. The report includes an overview of smart grid security by Deputy Assistant Secretary Hank Kenchington and the findings for reducing cyber risks from the Workshop on Securing the Smart Grid: Best Practices in Supply Chain Security, Integrity, and Resilience.

  20. High-Power Zinc-Air Energy Storage: Enhanced Metal-Air Energy Storage System with Advanced Grid-Interoperable Power Electronics Enabling Scalability and Ultra-Low Cost

    SciTech Connect (OSTI)

    None

    2010-10-01T23:59:59.000Z

    GRIDS Project: Fluidic is developing a low-cost, rechargeable, high-power module for Zinc-air batteries that will be used to store renewable energy. Zinc-air batteries are traditionally found in small, non-rechargeable devices like hearing aids because they are well-suited to delivering low levels of power for long periods of time. Historically, Zinc-air batteries have not been as useful for applications which require periodic bursts of power, like on the electrical grid. Fluidic hopes to fill this need by combining the high energy, low cost, and long run-time of a Zinc-air battery with new chemistry providing high power, high efficiency, and fast response. The battery module could allow large grid-storage batteries to provide much more power on very short demand—the most costly kind of power for utilities—and with much more versatile performance.

  1. Grid Transformation Workshop

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

    3-03-Grid-Transformation-Workshop Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects &...

  2. Numerical Simulation for eHealth: Grid-enabled Medical Simulation Services Siegfried Benknera

    E-Print Network [OSTI]

    Middleton, Stuart E.

    advanced bio-medical simulation applications. Often, however, such applications have a very limited methodology advances. The European GEMSS Project [7] is concerned with the creation of medical Grid service1 Numerical Simulation for eHealth: Grid-enabled Medical Simulation Services Siegfried Benknera

  3. Exploiting the Computational Grid Lecture 1 Globus and the Grid

    E-Print Network [OSTI]

    Exploiting the Computational Grid Lecture 1 ­ Globus and the Grid · The grid needs middleware to enable things such as logins etc · The toolkit model for the grid is to define a set of standards for the grid and then develop applications on top. The low level stuff is then hidden from the user · Globus

  4. Mapping Unstructured Grids to Structured Grids and Multigrid

    E-Print Network [OSTI]

    Chapter 4 Mapping Unstructured Grids to Structured Grids and Multigrid Many problems based solution is to map the unstructured grid onto a structured grid and then apply multigrid to a sequence). We 65 #12; CHAPTER 4. MAPPING UNSTRUCTURED GRIDS 66 show that unless great care is taken

  5. Insightful Workflow For Grid Computing

    SciTech Connect (OSTI)

    Dr. Charles Earl

    2008-10-09T23:59:59.000Z

    We developed a workflow adaptation and scheduling system for Grid workflow. The system currently interfaces with and uses the Karajan workflow system. We developed machine learning agents that provide the planner/scheduler with information needed to make decisions about when and how to replan. The Kubrick restructures workflow at runtime, making it unique among workflow scheduling systems. The existing Kubrick system provides a platform on which to integrate additional quality of service constraints and in which to explore the use of an ensemble of scheduling and planning algorithms. This will be the principle thrust of our Phase II work.

  6. National Smart Water Grid

    SciTech Connect (OSTI)

    Beaulieu, R A

    2009-07-13T23:59:59.000Z

    The United States repeatedly experiences floods along the Midwest's large rivers and droughts in the arid Western States that cause traumatic environmental conditions with huge economic impact. With an integrated approach and solution these problems can be alleviated. Tapping into the Mississippi River and its tributaries, the world's third largest fresh water river system, during flood events will mitigate the damage of flooding and provide a new source of fresh water to the Western States. The trend of increased flooding on the Midwest's large rivers is supported by a growing body of scientific literature. The Colorado River Basin and the western states are experiencing a protracted multi-year drought. Fresh water can be pumped via pipelines from areas of overabundance/flood to areas of drought or high demand. Calculations document 10 to 60 million acre-feet (maf) of fresh water per flood event can be captured from the Midwest's Rivers and pumped via pipelines to the Colorado River and introduced upstream of Lake Powell, Utah, to destinations near Denver, Colorado, and used in areas along the pipelines. Water users of the Colorado River include the cities in southern Nevada, southern California, northern Arizona, Colorado, Utah, Indian Tribes, and Mexico. The proposed start and end points, and routes of the pipelines are documented, including information on right-of-ways necessary for state and federal permits. A National Smart Water Grid{trademark} (NSWG) Project will create thousands of new jobs for construction, operation, and maintenance and save billions in drought and flood damage reparations tax dollars. The socio-economic benefits of NWSG include decreased flooding in the Midwest; increased agriculture, and recreation and tourism; improved national security, transportation, and fishery and wildlife habitats; mitigated regional climate change and global warming such as increased carbon capture; decreased salinity in Colorado River water crossing the US-Mexico border; and decreased eutrophication (excessive plant growth and decay) in the Gulf of Mexico to name a few. The National Smart Water Grid{trademark} will pay for itself in a single major flood event.

  7. Grid Architecture William E. Johnston

    E-Print Network [OSTI]

    Grid Architecture William E. Johnston Lawrence Berkeley National Lab and NASA Ames Research Center wejohnston@lbl.gov (These slides are available at grid.lbl.gov/~wej/Grids) #12;Distributed Resources Condor Internet optical networks space-based networks Grid Communication Functions Communications BasicGrid

  8. Smart Grid: Transforming the Electric System

    SciTech Connect (OSTI)

    Widergren, Steven E.

    2010-04-13T23:59:59.000Z

    This paper introduces smart grid concepts, summarizes the status of current smart grid related efforts, and explains smart grid priorities.

  9. Vice President Biden Announces Plan to Put One Million Advanced...

    Energy Savers [EERE]

    leading manufacturer Ener1, Inc., which produces advanced lithium-ion battery systems for electric vehicles, grid energy storage and industrial electronics. In his State of the...

  10. Advanced Technology R and D | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1USummerNews &OfficeAdvancedAdvanced

  11. NREL/SCE High-Penetration PV Integration Project: Report on Field Demonstration of Advanced Inverter Functionality in Fontana, CA

    SciTech Connect (OSTI)

    Mather, B.

    2014-08-01T23:59:59.000Z

    The National Renewable Energy Laboratory/Southern California Edison High-Penetration PV Integration Project is (1) researching the distribution system level impacts of high-penetration photovoltaic (PV) integration, (2) determining mitigation methods to reduce or eliminate those impacts, and (3) seeking to demonstrate these mitigation methods on actual high-penetration PV distribution circuits. This report describes a field demonstration completed during the fall of 2013 on the Fontana, California, study circuit, which includes a total of 4.5 MW of interconnected utility-scale rooftop PV systems. The demonstration included operating a 2-MW PV system at an off-unity power factor that had been determined during previously completed distribution system modeling and PV impact assessment analyses. Data on the distribution circuit and PV system operations were collected during the 2-week demonstration period. This demonstration reinforces the findings of previous laboratory testing that showed that utility-scale PV inverters are capable of operating at off-unity power factor to mitigate PV impacts; however, because of difficulties setting and retaining PV inverter power factor set points during the field demonstration, it was not possible to demonstrate the effectiveness of off-unity power factor operation to mitigate the voltage impacts of high-penetration PV integration. Lessons learned from this field demonstration are presented to inform future field demonstration efforts.

  12. Human Factors for Situation Assessment in Grid Operations

    SciTech Connect (OSTI)

    Guttromson, Ross T.; Schur, Anne; Greitzer, Frank L.; Paget, Mia L.

    2007-08-08T23:59:59.000Z

    Executive Summary Despite advances in technology, power system operators must assimilate overwhelming amounts of data to keep the grid operating. Analyses of recent blackouts have clearly demonstrated the need to enhance the operator’s situation awareness (SA). The long-term objective of this research is to integrate valuable technologies into the grid operator environment that support decision making under normal and abnormal operating conditions and remove non-technical barriers to enable the optimum use of these technologies by individuals working alone and as a team. More specifically, the research aims to identify methods and principles to increase SA of grid operators in the context of system conditions that are representative or common across many operating entities and develop operationally relevant experimental methods for studying technologies and operational practices which contribute to SA. With increasing complexity and interconnectivity of the grid, the scope and complexity of situation awareness have grown. New paradigms are needed to guide research and tool development aimed to enhance and improve operations. In reviewing related research, operating practices, systems, and tools, the present study established a taxonomy that provides a perspective on research and development surrounding power grid situation awareness and clarifies the field of human factors/SA for grid operations. Information sources that we used to identify critical factors underlying SA included interviews with experienced operational personnel, available historical summaries and transcripts of abnormal conditions and outages (e.g., the August 14, 2003 blackout), scientific literature, and operational policies/procedures and other documentation. Our analysis of August 2003 blackout transcripts and interviews adopted a different perspective than previous analyses of this material, and we complemented this analysis with additional interviews. Based on our analysis and a broad literature review, we advocate a new perspective on SA in terms of sensemaking, also called situated or ecological decision making, where the focus of the investigation is to understand why the decision maker(s) experienced the situation the way they did, or why what they saw made sense to them at the time. This perspective is distinct from the traditional branch of human factors research in the field which focuses more on ergonomics and the transactional relationship between the human operator and the systems. Consistent with our findings from the literature review, we recognized an over-arching need to focus SA research on issues surrounding the concept of shared knowledge; e.g., awareness of what is happening in adjacent areas as well as one’s own area of responsibility. Major findings were: a) Inadequate communication/information sharing is pervasive, b) Information is available, but not used. Many tools and mechanisms exist for operators to build awareness of the physical grid system, yet the transcripts reveal that they still need to call and exchange information with operators of neighboring areas to improve or validate their SA. The specific types of information that they request are quite predictable and, in most cases, cover information that could be available to both operators and reliability coordinators through readily available displays or other data sources, c) Shared Knowledge is Required on Operations/Actions as Well as Physical Status. In an ideal, technologically and organizationally perfect world, every control room and every reliability coordinator may have access to complete data across all regional control areas and yet, there would still be reason for the operators to call each other to gain and improve their SA of power grid operations, and d) Situation Awareness as sensemaking and shared knowledge.

  13. Microsoft Word - Smart_Grid_Comments_NAF_11.1.10.doc

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

    empowerment by integrating consumer behavior and devices into grid operations for electricity price control, energy usage management, energy trade, renewable energy...

  14. Expanding Buildings-to-Grid (B2G) Objectives in India

    E-Print Network [OSTI]

    Ghatikar, Girish

    2014-01-01T23:59:59.000Z

    Efficiency Demand Response Building-to-Grid RequirementsPolicy Demand Response Market Design Building IntegrationDemand Response Potential Market in Commercial Buildings ..

  15. Advanced Scientific Computing Advisory Committee (ASCAC) Homepage | U.S.

    Office of Science (SC) Website

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1USummerNews &OfficeAdvanced

  16. Smart Grid | Department of Energy

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

    Meters, Conductor, Surge Protection Devices, Connectors, Lighting Controls, Grid-Scale Battery Storage, Grid-Scale Flywheel Energy for Frequency Regulation, Automation...

  17. Sandia National Laboratories: Grid Capabilities

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

    InfrastructureEnergy AssuranceGrid Capabilities Grid Capabilities Goal: To develop and implement a comprehensive Sandia program to support the modernization of the U.S. electric...

  18. Automated Grid Disruption Response System: Robust Adaptive Topology Control (RATC)

    SciTech Connect (OSTI)

    None

    2012-03-01T23:59:59.000Z

    GENI Project: The RATC research team is using topology control as a mechanism to improve system operations and manage disruptions within the electric grid. The grid is subject to interruption from cascading faults caused by extreme operating conditions, malicious external attacks, and intermittent electricity generation from renewable energy sources. The RATC system is capable of detecting, classifying, and responding to grid disturbances by reconfiguring the grid in order to maintain economically efficient operations while guaranteeing reliability. The RATC system would help prevent future power outages, which account for roughly $80 billion in losses for businesses and consumers each year. Minimizing the time it takes for the grid to respond to expensive interruptions will also make it easier to integrate intermittent renewable energy sources into the grid.

  19. Networks, smart grids: new model for synchronization

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy:Nanowire Solar541,9337, 2011 at3, Issue 30 NewNetworks, smart grids:

  20. Principal Characteristics of a Modern Grid

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-AmericaGrid Wabash Valley Power

  1. Principal Characteristics of a Modern Grid

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.7 348,016.0stellaratorsMid-AmericaGrid Wabash Valley

  2. The Evolution of the Internet Community and the "Yet-to-Evolve" Smart Grid Community: Parallels and Lessons-to-be-Learned

    E-Print Network [OSTI]

    McParland, Charles

    2010-01-01T23:59:59.000Z

    integration into the Internet ecosphere presents both opportunities and architectural issues for the expansion of the Smart Grid

  3. prismprismNo 258/February 2011 Smarter Grid reSearch centre powerS up

    E-Print Network [OSTI]

    Mottram, Nigel

    the integration of new renewable energy sources, electric vehicles and smart household appliances with the grid and industry leaders to drive forward innovation and efficiencies in energy and smart grid technologiesprismprismNo 258/February 2011 Smarter Grid reSearch centre powerS up The University has unveiled

  4. Grid Cell Hexagonal Patterns Formed by Fast Self-Organized Learning Within Entorhinal Cortex

    E-Print Network [OSTI]

    Spence, Harlan Ernest

    integration; spatial navigation INTRODUCTION A Hierarchy of Self-Organizing Maps The discovery of grid cells how an entorhinal-hip- pocampal self-organizing map can learn the relationships between grid cellGrid Cell Hexagonal Patterns Formed by Fast Self-Organized Learning Within Entorhinal Cortex

  5. Toyota Prius Plug-In HEV: A Plug-In Hybrid Electric Car in NREL's Advanced Technology Vehicle Fleet (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01T23:59:59.000Z

    This fact sheet highlights the Toyota Prius plug-in HEV, a plug-in hybrid electric car in the advanced technology vehicle fleet at the National Renewable Energy Laboratory (NREL). In partnership with the University of Colorado, NREL uses the vehicle for grid-integration studies and for testing new hardware and charge-management algorithms. NREL's advanced technology vehicle fleet features promising technologies to increase efficiency and reduce emissions without sacrificing safety or comfort. The fleet serves as a technology showcase, helping visitors learn about innovative vehicles that are available today or are in development. Vehicles in the fleet are representative of current, advanced, prototype, and emerging technologies.

  6. Sandia National Laboratories - Grid Integration Collaborations

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

    Standards Organizations - Underwriters Laboratory - Institute of Electrical and Electronics Engineers - National Institute of Standards and Technology - North American...

  7. Semantic Information Integration for Smart Grid Applications*

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    practices for other utilities. Demand response optimization (DR) is one of the key goals of the project [2 techniques to bring about a quantum leap in the way demand response load optimization is performed architecture for demand response optimization (USC and Yogesh Simmhan · Viktor Prasanna Ming Hsieh Department

  8. Sandia National Laboratories: Distribution Grid Integration

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

    Biofuels Biofuels Publications Biochemical Conversion Program Lignocellulosic Biomass Microalgae Thermochemical Conversion Sign up for our E-Newsletter Required.gif?3.21 Email...

  9. Sandia National Laboratories: Transmission Grid Integration

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

    Biofuels Biofuels Publications Biochemical Conversion Program Lignocellulosic Biomass Microalgae Thermochemical Conversion Sign up for our E-Newsletter Required.gif?3.21 Email...

  10. Buildings to Grid Integration & Interoperability

    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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy FutureDepartment of EnergyRolandBuildingDepartment

  11. Opening Remarks, Grid Integration Initiative Overview

    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 DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartment ofOil's Impact onDepartmentDepartment of

  12. NREL: Distributed Grid Integration Home Page

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gifNREL NRELChemicalIndustryIssuePhoto of three men in

  13. Reliability Considerations from Integration of Smart Grid

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuary 29,3, 2012VisitorsThis pageA

  14. Distribution Grid Integration | Department of Energy

    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 DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197E T ADRAFTJanuary 2004 | DepartmentJanuaryVersionSystems

  15. Transmission Grid Integration | Department of Energy

    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 DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic|IndustrialCenter Gets People Work,Amy7AUnderstanding' %

  16. Articles about Grid Integration and Transmission

    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 onYouTube YouTube Note: Since the YouTube platform is alwaysISOSource Heat 1PowerofSystems | DepartmentArticle 295161

  17. DOD/NREL Model Integrates Vehicles, Renewables & Microgrid (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-02-01T23:59:59.000Z

    Fact sheet on microgrid model created by the Electric Vehicle Grid Integration program at the Fort Carson Army facility.

  18. Integration of advanced geoscience and engineering techniques to quantify interwell heterogeneity in reservoir models. Annual report, September 29, 1994--September 30, 1995

    SciTech Connect (OSTI)

    Martin, F.D.; Buckley, J.S.; Weiss, W.W.; Ouenes, A.

    1996-04-01T23:59:59.000Z

    The purpose of this project is to conduct a variety of laboratory and field tests and utilize all the geological, geophysical, and engineering information to develop a mathematical model of the reservoir by the use of global optimization methods. This interdisciplinary effort will integrate advanced geoscience and reservoir engineering concepts to quantify interwell reservoir heterogeneity and the dynamics of fluid-rock and fluid-fluid interactions. The reservoir characterization includes geological methods (outcrop and reservoir rock studies), geophysical methods (interwell acoustic techniques), and other reservoir/hydrologic methodologies including analyses of pressure transient data, core studies, and tracer tests. The field testing is being conducted at the Sulimar Queen Unit with related laboratory testing at the PRRC on samples from the Sulimar site and Queen sandstone outcrops. The aim is to (1) characterize and quantify lithologic heterogeneity, (2) mathematically quantify changes in the heterogeneity at various scales, (3) integrate the wide variety of data into a model that is jointly constrained by the interdisciplinary interpretive effort, and (4) help optimize petroleum recovery efficiencies.

  19. Future Grid: The Environment Future Grid Initiative White Paper

    E-Print Network [OSTI]

    Future Grid: The Environment Future Grid Initiative White Paper Power Systems Engineering Research Center Empowering Minds to Engineer the Future Electric Energy System #12;Future Grid: The Environment Prepared for the Project "The Future Grid to Enable Sustainable Energy Systems" Funded by the U

  20. GridWise Alliance

    Broader source: Energy.gov [DOE]

    Presentation—given at the Spring 2009 Federal Utility Partnership Working Group (FUPWG) meeting—discusses the GRIDWISE ALLIANCE including its mission, today and tomorrow's grid, membership, work groups, and key policy initiatives.

  1. Random array grid collimator

    DOE Patents [OSTI]

    Fenimore, E.E.

    1980-08-22T23:59:59.000Z

    A hexagonally shaped quasi-random no-two-holes touching grid collimator. The quasi-random array grid collimator eliminates contamination from small angle off-axis rays by using a no-two-holes-touching pattern which simultaneously provides for a self-supporting array increasng throughput by elimination of a substrate. The presentation invention also provides maximum throughput using hexagonally shaped holes in a hexagonal lattice pattern for diffraction limited applications. Mosaicking is also disclosed for reducing fabrication effort.

  2. Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities

    E-Print Network [OSTI]

    Fan, Zhong; Gormus, Sedat; Efthymiou, Costas; Kalogridis, Georgios; Sooriyabandara, Mahesh; Zhu, Ziming; Lambotharan, Sangarapillai; Chin, Woon Hau

    2011-01-01T23:59:59.000Z

    Optimization of energy consumption in future intelligent energy networks (or Smart Grids) will be based on grid-integrated near-real-time communications between various grid elements in generation, transmission, distribution and loads. This paper discusses some of the challenges and opportunities of communications research in the areas of smart grid and smart metering. In particular, we focus on some of the key communications challenges for realizing interoperable and future-proof smart grid/metering networks, smart grid security and privacy, and how some of the existing networking technologies can be applied to energy management. Finally, we also discuss the coordinated standardization efforts in Europe to harmonize communications standards and protocols.

  3. Renewable Energy Integration and the Impact of Carbon Regulation

    E-Print Network [OSTI]

    Renewable Energy Integration and the Impact of Carbon Regulation on the Electric Grid Future Grid the Future Electric Energy System #12;Thrust Area 3 White Paper Renewable Energy Integration and the Impact. #12;ii Executive Summary The integration of renewable energy resources into the power grid is driven

  4. GRIDS: Grid-Scale Rampable Intermittent Dispatchable Storage

    SciTech Connect (OSTI)

    None

    2010-09-01T23:59:59.000Z

    GRIDS Project: The 12 projects that comprise ARPA-E’s GRIDS Project, short for “Grid-Scale Rampable Intermittent Dispatchable Storage,” are developing storage technologies that can store renewable energy for use at any location on the grid at an investment cost less than $100 per kilowatt hour. Flexible, large-scale storage would create a stronger and more robust electric grid by enabling renewables to contribute to reliable power generation.

  5. ADVANCE! Leadership Experience Project Guidelines

    E-Print Network [OSTI]

    Hone, James

    ADVANCE! Leadership Experience Project Guidelines Fieldwork Practicum Description: The fieldwork component of the ADVANCE! leadership program offers students the opportunity to integrate theory exposure to that industry. Together, they design a leadership project in which the student takes an active

  6. Integration of Renewable Resources November 2007

    E-Print Network [OSTI]

    Integration of Renewable Resources November 2007 Transmission and operating issues and recommendations for integrating renewable resources on the California ISO-controlled Grid California Independent System Operator #12;CAISO Integration of Renewable Resources Members of the Renewables Workgroup

  7. Abstract--Currently, there are multiple national directives that call for the development of a smarter electrical grid. This

    E-Print Network [OSTI]

    Oren, Shmuel S.

    of the electric transmission grid. The USA Energy Policy Act of 2005, Sec.1223.a.5, includes: "encourage of a smarter electrical grid. This includes, but is not limited to, the development of advanced transmission a smarter, more flexible transmission grid. Index Terms--Power system economics, power system reliability

  8. An Advanced Integrated Diffusion/Transport Method for the Design, Analysis and Optimization of the Very-High-Temperature Reactors

    SciTech Connect (OSTI)

    Farzad Rahnema; Dingkang Zhang; Abderrafi Ougouag; Frederick Gleicher

    2011-04-04T23:59:59.000Z

    The main objective of this research is to develop an integrated diffusion/transport (IDT) method to substantially improve the accuracy of nodal diffusion methods for the design and analysis of Very High Temperature Reactors (VHTR). Because of the presence of control rods in the reflector regions in the Pebble Bed Reactor (PBR-VHTR), traditional nodal diffusion methods do not accurately model these regions, within which diffusion theory breaks down in the vicinity of high neutron absorption and steep flux gradients. The IDT method uses a local transport solver based on a new incident flux response expansion method in the controlled nodes. Diffusion theory is used in the rest of the core. This approach improves the accuracy of the core solution by generating transport solutions of controlled nodes while maintaining computational efficiency by using diffusion solutions in nodes where such a treatment is sufficient. The transport method is initially developed and coupled to the reformulated 3-D nodal diffusion model in the CYNOD code for PBR core design and fuel cycle analysis. This method is also extended to the prismatic VHTR. The new method accurately captures transport effects in highly heterogeneous regions with steep flux gradients. The calculations of these nodes with transport theory avoid errors associated with spatial homogenization commonly used in diffusion methods in reactor core simulators

  9. 2012 Advanced Applications Research & Development Peer Review...

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

    Peer Review - Real-Time Wide-Area Montoring Tool Based on CELL Method - Yuri Makarov, PNNL 2012 Advanced Applications R&D Peer Review - Modal Analysis for Grid Operations (MANGO)...

  10. Silicon ball grid array chip carrier

    DOE Patents [OSTI]

    Palmer, David W. (Albuquerque, NM); Gassman, Richard A. (Greensboro, NC); Chu, Dahwey (Albuquerque, NM)

    2000-01-01T23:59:59.000Z

    A ball-grid-array integrated circuit (IC) chip carrier formed from a silicon substrate is disclosed. The silicon ball-grid-array chip carrier is of particular use with ICs having peripheral bond pads which can be reconfigured to a ball-grid-array. The use of a semiconductor substrate such as silicon for forming the ball-grid-array chip carrier allows the chip carrier to be fabricated on an IC process line with, at least in part, standard IC processes. Additionally, the silicon chip carrier can include components such as transistors, resistors, capacitors, inductors and sensors to form a "smart" chip carrier which can provide added functionality and testability to one or more ICs mounted on the chip carrier. Types of functionality that can be provided on the "smart" chip carrier include boundary-scan cells, built-in test structures, signal conditioning circuitry, power conditioning circuitry, and a reconfiguration capability. The "smart" chip carrier can also be used to form specialized or application-specific ICs (ASICs) from conventional ICs. Types of sensors that can be included on the silicon ball-grid-array chip carrier include temperature sensors, pressure sensors, stress sensors, inertia or acceleration sensors, and/or chemical sensors. These sensors can be fabricated by IC processes and can include microelectromechanical (MEM) devices.

  11. Development of economically viable, highly integrated, highly modular SEGIS architecture.

    SciTech Connect (OSTI)

    Enslin, Johan (Petra Solar, Inc., South Plainfield, NJ); Hamaoui, Ronald (Petra Solar, Inc., South Plainfield, NJ); Gonzalez, Sigifredo; Haddad, Ghaith (Petra Solar, Inc., South Plainfield, NJ); Rustom, Khalid (Petra Solar, Inc., South Plainfield, NJ); Stuby, Rick (Petra Solar, Inc., South Plainfield, NJ); Kuran, Mohammad (Petra Solar, Inc., South Plainfield, NJ); Mark, Evlyn (Petra Solar, Inc., South Plainfield, NJ); Amarin, Ruba (Petra Solar, Inc., South Plainfield, NJ); Alatrash, Hussam (Petra Solar, Inc., South Plainfield, NJ); Bower, Ward Isaac; Kuszmaul, Scott S.; Sena-Henderson, Lisa; David, Carolyn; Akhil, Abbas Ali

    2012-03-01T23:59:59.000Z

    Initiated in 2008, the SEGIS initiative is a partnership involving the U.S. DOE, Sandia National Laboratories, private sector companies, electric utilities, and universities. Projects supported under the initiative have focused on the complete-system development of solar technologies, with the dual goal of expanding renewable PV applications and addressing new challenges of connecting large-scale solar installations in higher penetrations to the electric grid. Petra Solar, Inc., a New Jersey-based company, received SEGIS funds to develop solutions to two of these key challenges: integrating increasing quantities of solar resources into the grid without compromising (and likely improving) power quality and reliability, and moving the design from a concept of intelligent system controls to successful commercialization. The resulting state-of-the art technology now includes a distributed photovoltaic (PV) architecture comprising AC modules that not only feed directly into the electrical grid at distribution levels but are equipped with new functions that improve voltage stability and thus enhance overall grid stability. This integrated PV system technology, known as SunWave, has applications for 'Power on a Pole,' and comes with a suite of technical capabilities, including advanced inverter and system controls, micro-inverters (capable of operating at both the 120V and 240V levels), communication system, network management system, and semiconductor integration. Collectively, these components are poised to reduce total system cost, increase the system's overall value and help mitigate the challenges of solar intermittency. Designed to be strategically located near point of load, the new SunWave technology is suitable for integration directly into the electrical grid but is also suitable for emerging microgrid applications. SunWave was showcased as part of a SEGIS Demonstration Conference at Pepco Holdings, Inc., on September 29, 2011, and is presently undergoing further field testing as a prelude to improved and expanded commercialization.

  12. Nuclear Energy Advanced Modeling and Simulation Waste Integrated Performance and Safety Codes (NEAMS Waste IPSC) verification and validation plan. version 1.

    SciTech Connect (OSTI)

    Bartlett, Roscoe Ainsworth; Arguello, Jose Guadalupe, Jr.; Urbina, Angel; Bouchard, Julie F.; Edwards, Harold Carter; Freeze, Geoffrey A.; Knupp, Patrick Michael; Wang, Yifeng; Schultz, Peter Andrew; Howard, Robert (Oak Ridge National Laboratory, Oak Ridge, TN); McCornack, Marjorie Turner

    2011-01-01T23:59:59.000Z

    The objective of the U.S. Department of Energy Office of Nuclear Energy Advanced Modeling and Simulation Waste Integrated Performance and Safety Codes (NEAMS Waste IPSC) is to provide an integrated suite of computational modeling and simulation (M&S) capabilities to quantitatively assess the long-term performance of waste forms in the engineered and geologic environments of a radioactive-waste storage facility or disposal repository. To meet this objective, NEAMS Waste IPSC M&S capabilities will be applied to challenging spatial domains, temporal domains, multiphysics couplings, and multiscale couplings. A strategic verification and validation (V&V) goal is to establish evidence-based metrics for the level of confidence in M&S codes and capabilities. Because it is economically impractical to apply the maximum V&V rigor to each and every M&S capability, M&S capabilities will be ranked for their impact on the performance assessments of various components of the repository systems. Those M&S capabilities with greater impact will require a greater level of confidence and a correspondingly greater investment in V&V. This report includes five major components: (1) a background summary of the NEAMS Waste IPSC to emphasize M&S challenges; (2) the conceptual foundation for verification, validation, and confidence assessment of NEAMS Waste IPSC M&S capabilities; (3) specifications for the planned verification, validation, and confidence-assessment practices; (4) specifications for the planned evidence information management system; and (5) a path forward for the incremental implementation of this V&V plan.

  13. Sandia Energy - SMART Grid

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocuments Home StationaryFAQs HomeProgramSCADASMART Grid

  14. Waste Classification based on Waste Form Heat Generation in Advanced Nuclear Fuel Cycles Using the Fuel-Cycle Integration and Tradeoffs (FIT) Model

    SciTech Connect (OSTI)

    Denia Djokic; Steven J. Piet; Layne F. Pincock; Nick R. Soelberg

    2013-02-01T23:59:59.000Z

    This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. This analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. The value of separation of heat-generating fission products and actinides in different fuel cycles is discussed. It was shown that the benefits of reducing the short-term fission-product heat load of waste destined for geologic disposal are neglected under the current source-based radioactive waste classification system , and that it is useful to classify waste streams based on how favorable the impact of interim storage is in increasing repository capacity.

  15. Waste Classification based on Waste Form Heat Generation in Advanced Nuclear Fuel Cycles Using the Fuel-Cycle Integration and Tradeoffs (FIT) Model - 13413

    SciTech Connect (OSTI)

    Djokic, Denia [Department of Nuclear Engineering, University of California - Berkeley, 4149 Etcheverry Hall, Berkeley, CA 94720-1730 (United States)] [Department of Nuclear Engineering, University of California - Berkeley, 4149 Etcheverry Hall, Berkeley, CA 94720-1730 (United States); Piet, Steven J.; Pincock, Layne F.; Soelberg, Nick R. [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)] [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)

    2013-07-01T23:59:59.000Z

    This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. This analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. The value of separation of heat-generating fission products and actinides in different fuel cycles is discussed. It was shown that the benefits of reducing the short-term fission-product heat load of waste destined for geologic disposal are neglected under the current source-based radioactive waste classification system, and that it is useful to classify waste streams based on how favorable the impact of interim storage is in increasing repository capacity. (authors)

  16. Pacific Northwest Smart Grid Demonstration Project

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPO Website Directory PPPOLarson.CherylPacific

  17. National Wind Technology Center Controllable Grid Interface

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy:Nanowire Solar EnergyKambaraorRENEWABLE MobileResourcesVahan

  18. Principal Characteristics of a Modern Grid

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.7 348,016.0stellarators

  19. To Begin the World Anew: Smart Grids and the Need for a Comprehensive U.S. Energy Policy

    SciTech Connect (OSTI)

    Foster, Nikolas AF

    2011-12-01T23:59:59.000Z

    The United States is in the midst of a monumental transformation of its electric power grid. Advances in information and communication technologies and grid measurement and control devices have initiated the transition toward a more resilient, sustainable and efficient future power grid. Deployment of these technologies is being driven by policies encouraging the shift to a greener grid, incorporating clean and low carbon energy; as well as rising consumer demand for smarter ways to use existing resources.

  20. Essential Grid Workflow Monitoring Elements

    SciTech Connect (OSTI)

    Gunter, Daniel K.; Jackson, Keith R.; Konerding, David E.; Lee,Jason R.; Tierney, Brian L.

    2005-07-01T23:59:59.000Z

    Troubleshooting Grid workflows is difficult. A typicalworkflow involves a large number of components networks, middleware,hosts, etc. that can fail. Even when monitoring data from all thesecomponents is accessible, it is hard to tell whether failures andanomalies in these components are related toa given workflow. For theGrid to be truly usable, much of this uncertainty must be elim- inated.We propose two new Grid monitoring elements, Grid workflow identifiersand consistent component lifecycle events, that will make Gridtroubleshooting easier, and thus make Grids more usable, by simplifyingthe correlation of Grid monitoring data with a particular Gridworkflow.