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Sample records for grid maturity model

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

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

    Maturity Model to Better Protect the Nation's Grid from Cybersecurity Threats DOE Releases Maturity Model to Better Protect the Nation's Grid from Cybersecurity Threats May 31, 2012 ...

  2. Maturity Model for Advancing Smart Grid Interoperability

    SciTech Connect (OSTI)

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

    2013-10-28

    AbstractInteroperability 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.

  3. 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

    2011-12-02

    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.

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

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

    Cybersecurity Threats | Department of Energy Maturity Model to Better Protect the Nation's Grid from Cybersecurity Threats DOE Releases Maturity Model to Better Protect the Nation's Grid from Cybersecurity Threats May 31, 2012 - 4:32pm Addthis The Electricity Subsector Cybersecurity Capability Maturity Model, which allows electric utilities and grid operators to assess their cybersecurity capabilities and prioritize their actions and investments to improve cybersecurity, combines elements

  5. Electricity Subsector Cybersecurity Capability Maturity Model...

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

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

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

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

    (February 2014) | Department of Energy Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) The Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Version 1.1, which allows electric utilities and grid operators to assess their cybersecurity capabilities and prioritize their actions and investments to improve cybersecurity, combines elements from existing

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

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

    (February 2014) | Department of Energy Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) The Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Version 1.1, which allows electric utilities and grid operators to assess their cybersecurity capabilities and prioritize their actions and investments to improve cybersecurity, combines elements from existing

  8. Networks, smart grids: new model for synchronization

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

    Networks, smart grids: new model for synchronization Networks, smart grids: new model for synchronization Researchers developed a surprisingly simple mathematical model that ...

  9. Cybersecurity Capability Maturity Model - Frequently Asked Questions...

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

    The Cybersecurity Capability Maturity Model (C2M2) program is intended to aid organizations of all types evaluate and make improvements to their cybersecurity programs. The model ...

  10. Cybersecurity Capability Maturity Model - Facilitator Guide ...

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

    The Cybersecurity Capability Maturity Model (C2M2) program is intended to aid organizations of all types evaluate and make improvements to their cybersecurity programs. The model ...

  11. Cybersecurity Capability Maturity Model (C2M2) Program | Department of

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

    Energy Program Cybersecurity Capability Maturity Model (C2M2) Program Cybersecurity Capability Maturity Model (C2M2) Program The Cybersecurity Capability Maturity Model (C2M2) program is a public-private partnership effort that was established as a result of the Administration's efforts to improve electricity subsector cybersecurity capabilities, and to understand the cybersecurity posture of the grid. The C2M2 helps organizations-regardless of size, type, or industry-evaluate, prioritize,

  12. Cybersecurity Capability Maturity Model - Frequently Asked Questions

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

    (February 2014) | Department of Energy - Frequently Asked Questions (February 2014) Cybersecurity Capability Maturity Model - Frequently Asked Questions (February 2014) The Cybersecurity Capability Maturity Model (C2M2) program is intended to aid organizations of all types evaluate and make improvements to their cybersecurity programs. The model focuses on the implementation and management of cybersecurity practices associated with the information technology (IT) and operational technology

  13. Grid Modeling | Argonne National Laboratory

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

    Research & Development » Grid Integration Grid Integration Grid Integration The Wind Program works with electric grid operators, utilities, regulators, and industry to create new strategies for incorporating increasing amounts of wind energy into the power system while maintaining economic and reliable operation of the grid. Utilities have been increasingly deploying wind power to provide larger portions of electricity generation. However, many utilities also express concerns about wind

  14. Application Note: Power Grid Modeling With Xyce.

    SciTech Connect (OSTI)

    Sholander, Peter E.

    2015-06-01

    This application note describes how to model steady-state power flows and transient events in electric power grids with the SPICE-compatible Xyce TM Parallel Electronic Simulator developed at Sandia National Labs. This application notes provides a brief tutorial on the basic devices (branches, bus shunts, transformers and generators) found in power grids. The focus is on the features supported and assumptions made by the Xyce models for power grid elements. It then provides a detailed explanation, including working Xyce netlists, for simulating some simple power grid examples such as the IEEE 14-bus test case.

  15. CYBERSECURITY CAPABILITY MATURITY MODEL (C2M2)

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

    CYBERSECURITY CAPABILITY MATURITY MODEL (C2M2) Version 1.1 February 2014 Cybersecurity Capability Maturity Model Version 1.1 i TABLE OF CONTENTS Acknowledgments ........................................................................................................................................ iii 1. Introduction .............................................................................................................................................. 1 1.1 Intended Audience

  16. AlliedSignal capability maturity model assessment & improvement processes

    SciTech Connect (OSTI)

    Kuhn, C.

    1997-11-01

    This report contains viewgraphs on AlliedSignal capability maturity model assessment and improvement processes for software.

  17. Predictive Capability Maturity Model for computational modeling and simulation.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Trucano, Timothy Guy; Pilch, Martin M.

    2007-10-01

    The Predictive Capability Maturity Model (PCMM) is a new model that can be used to assess the level of maturity of computational modeling and simulation (M&S) efforts. The development of the model is based on both the authors experience and their analysis of similar investigations in the past. The perspective taken in this report is one of judging the usefulness of a predictive capability that relies on the numerical solution to partial differential equations to better inform and improve decision making. The review of past investigations, such as the Software Engineering Institute's Capability Maturity Model Integration and the National Aeronautics and Space Administration and Department of Defense Technology Readiness Levels, indicates that a more restricted, more interpretable method is needed to assess the maturity of an M&S effort. The PCMM addresses six contributing elements to M&S: (1) representation and geometric fidelity, (2) physics and material model fidelity, (3) code verification, (4) solution verification, (5) model validation, and (6) uncertainty quantification and sensitivity analysis. For each of these elements, attributes are identified that characterize four increasing levels of maturity. Importantly, the PCMM is a structured method for assessing the maturity of an M&S effort that is directed toward an engineering application of interest. The PCMM does not assess whether the M&S effort, the accuracy of the predictions, or the performance of the engineering system satisfies or does not satisfy specified application requirements.

  18. Electricity Subsector Cybersecurity Capability Maturity Model...

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

    Sector Cybersecurity Framework Implementation Guidance (January 2015) The Electricity Journal: Cybersecurity and the Smarter Grid CEDS Fact Sheets Cybersecurity Procurement...

  19. 2014 Advanced Grid Modeling Program Peer Review Presentations...

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

    4 Advanced Grid Modeling Program Peer Review Presentations Now Available 2014 Advanced Grid Modeling Program Peer Review Presentations Now Available July 10, 2014 - 6:01pm Addthis ...

  20. 2014 Advanced Grid Modeling Program Peer Review

    Broader source: Energy.gov [DOE]

    The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. This page lists the four sessions of the Peer Review.

  1. Smart Grid Technology Interactive Model | Argonne National Laboratory

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

    Smart Grid Technology Interactive Model Share Description As our attention turns to new cars that run partially or completely on electricity, how can we redesign our electric grid...

  2. Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model

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

    (February 2014) | Department of Energy Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (February 2014) Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (February 2014) The Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (ONG-C2M2) is a derivative of the Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Version 1.1. The ES-C2M2 was developed in support of a White House initiative led by the Department of

  3. Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model

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

    (ONG-C2M2) | Department of Energy Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (ONG-C2M2) Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (ONG-C2M2) Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (ONG-C2M2) The Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (ONG-C2M2) was established as a result of the Administration's efforts to improve electricity subsector cybersecurity capabilities, and to

  4. A model-independent view of the mature organization

    SciTech Connect (OSTI)

    Hanna, M.; Langston, D.

    1996-12-31

    Over the last 10 years, industry has been dealing with the issues of process and organizational maturity. This focus on process is driven by the success that manufacturing organizations have had implementing the management principles of W. Edwards Deming and Joseph M. Juran. The organizational-maturity focus is driven by organizations striving to be ISO 9000 compliant or to achieve a specific level on one of the maturity models. Unfortunately, each of the models takes a specific view into what is a very broad arena. That is to say, each model addresses only a specific subset of the characteristics of maturity. This paper attempts to extend beyond these specific views to answer the general question, What is a mature organization and its relationship to Quantitative management and statistical process control?

  5. 2014 Advanced Grid Modeling Program Peer Review Presentations Now Available

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

    | Department of Energy 4 Advanced Grid Modeling Program Peer Review Presentations Now Available 2014 Advanced Grid Modeling Program Peer Review Presentations Now Available July 10, 2014 - 6:01pm Addthis The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and

  6. Cybersecurity Capability Maturity Model (February 2014) | Department of

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

    Energy (February 2014) Cybersecurity Capability Maturity Model (February 2014) The Cybersecurity Capability Maturity Model (C2M2) was derived from the Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Version 1.1 by removing sector-specific references and terminology. The ES-C2M2 was developed in support of a White House initiative led by the Department of Energy (DOE), in partnership with the Department of Homeland Security (DHS), and in collaboration with private- and

  7. Cybersecurity Capability Maturity Model - Facilitator Guide (February 2014)

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

    | Department of Energy - Facilitator Guide (February 2014) Cybersecurity Capability Maturity Model - Facilitator Guide (February 2014) The Cybersecurity Capability Maturity Model (C2M2) program is intended to aid organizations of all types evaluate and make improvements to their cybersecurity programs. The model focuses on the implementation and management of cybersecurity practices associated with the information technology (IT) and operational technology (OT) assets and the environments in

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

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

    Session | Department of Energy Afternoon Session 2014 Advanced Grid Modeling Peer Review Presentations - Day One Afternoon Session The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and software tools. More than 17 projects were presented at the 2014 Advanced Grid

  9. 2014 Advanced Grid Modeling Peer Review Presentations - Day One Morning

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

    Session | Department of Energy Morning Session 2014 Advanced Grid Modeling Peer Review Presentations - Day One Morning Session The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and software tools. More than 17 projects were presented at the 2014 Advanced Grid

  10. 2014 Advanced Grid Modeling Peer Review Presentations - Day Two Afternoon

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

    Session | Department of Energy Afternoon Session 2014 Advanced Grid Modeling Peer Review Presentations - Day Two Afternoon Session The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and software tools. More than 17 projects were presented at the 2014 Advanced Grid

  11. 2014 Advanced Grid Modeling Peer Review Presentations - Day Two Morning

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

    Session | Department of Energy Morning Session 2014 Advanced Grid Modeling Peer Review Presentations - Day Two Morning Session The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling Program on June 17-18, 2014 in Alexandria, VA. The Advanced Grid Modeling Research Program leverages scientific research in mathematics for application to power system models and software tools. More than 17 projects were presented at the 2014 Advanced Grid

  12. 2014 Advanced Grid Modeling Peer Review Presentations - Day Two...

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

    Modeling Peer Review Presentations - Day Two Afternoon Session The Office of Electricity Delivery and Energy Reliability held a peer review of the Advanced Grid Modeling ...

  13. Demonstrating the improvement of predictive maturity of a computational model

    SciTech Connect (OSTI)

    Hemez, Francois M; Unal, Cetin; Atamturktur, Huriye S

    2010-01-01

    We demonstrate an improvement of predictive capability brought to a non-linear material model using a combination of test data, sensitivity analysis, uncertainty quantification, and calibration. A model that captures increasingly complicated phenomena, such as plasticity, temperature and strain rate effects, is analyzed. Predictive maturity is defined, here, as the accuracy of the model to predict multiple Hopkinson bar experiments. A statistical discrepancy quantifies the systematic disagreement (bias) between measurements and predictions. Our hypothesis is that improving the predictive capability of a model should translate into better agreement between measurements and predictions. This agreement, in turn, should lead to a smaller discrepancy. We have recently proposed to use discrepancy and coverage, that is, the extent to which the physical experiments used for calibration populate the regime of applicability of the model, as basis to define a Predictive Maturity Index (PMI). It was shown that predictive maturity could be improved when additional physical tests are made available to increase coverage of the regime of applicability. This contribution illustrates how the PMI changes as 'better' physics are implemented in the model. The application is the non-linear Preston-Tonks-Wallace (PTW) strength model applied to Beryllium metal. We demonstrate that our framework tracks the evolution of maturity of the PTW model. Robustness of the PMI with respect to the selection of coefficients needed in its definition is also studied.

  14. Modeling Grid-Connected Hybrid Electric Vehicles Using ADVISOR

    SciTech Connect (OSTI)

    Markel, T.; Wipke, K.

    2001-01-01

    Presents an electric utility grid-connected energy management strategy for a parallel hybrid electric vehicle using ADVISOR, a modeling tool.

  15. "Artificial" brains, electrical grids, and disease modeling:...

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

    Deputy Principal Associate Director Duncan McBranch will discuss LDRD impacts on border security and the nation's energy grid at 1 p.m. The event is an ideal opportunity...

  16. Argonne National Laboratory Smart Grid Technology Interactive Model

    ScienceCinema (OSTI)

    Ted Bohn

    2010-01-08

    As our attention turns to new cars that run partially or completely on electricity, how can we redesign our electric grid to not only handle the new load, but make electricity cheap and efficient for everyone? Argonne engineer Ted Bohn explains a model of a "smart grid" that gives consumers the power to choose their own prices and sources of electricity.

  17. Argonne National Laboratory Smart Grid Technology Interactive Model

    SciTech Connect (OSTI)

    Ted Bohn

    2009-10-13

    As our attention turns to new cars that run partially or completely on electricity, how can we redesign our electric grid to not only handle the new load, but make electricity cheap and efficient for everyone? Argonne engineer Ted Bohn explains a model of a "smart grid" that gives consumers the power to choose their own prices and sources of electricity.

  18. Smart Grid Cybersecurity: Job Performance Model Report

    SciTech Connect (OSTI)

    O'Neil, Lori Ross; Assante, Michael; Tobey, David

    2012-08-01

    This is the project report to DOE OE-30 for the completion of Phase 1 of a 3 phase report. This report outlines the work done to develop a smart grid cybersecurity certification. This work is being done with the subcontractor NBISE.

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

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

    Department of Energy Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) The Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) was established as a result of the Administration's efforts to improve electricity subsector cybersecurity capabilities, and to understand the cybersecurity posture of the energy

  20. Advanced Modeling Grid Research Program | Department of Energy

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

    Development » Advanced Modeling Grid Research Program Advanced Modeling Grid Research Program The electric power industry has undergone extensive changes over the past several decades and become substantially more complex, dynamic, and uncertain, as new market rules, regulatory policies, and technologies have been adopted. The availability of more detailed data about system conditions from devices, such as phasor measurement units (PMUs) for wide area visibility and advanced meter

  1. Development and Implementation of a Program Management Maturity Model

    SciTech Connect (OSTI)

    Hartwig, Laura; Smith, Matt

    2008-12-15

    In 2006, Honeywell Federal Manufacturing & Technologies (FM&T) announced an updatedvision statement for the organization. The vision is “To be the most admired team within the NNSA [National Nuclear Security Administration] for our relentless drive to convert ideas into the highest quality products and services for National Security by applying the right technology, outstanding program management and best commercial practices.” The challenge to provide outstanding program management was taken up by the Program Management division and the Program Integration Office (PIO) of the company. This article describes how Honeywell developed and deployed a program management maturity model to drive toward excellence.

  2. Development of a fourth generation predictive capability maturity model.

    SciTech Connect (OSTI)

    Hills, Richard Guy; Witkowski, Walter R.; Urbina, Angel; Rider, William J.; Trucano, Timothy Guy

    2013-09-01

    The Predictive Capability Maturity Model (PCMM) is an expert elicitation tool designed to characterize and communicate completeness of the approaches used for computational model definition, verification, validation, and uncertainty quantification associated for an intended application. The primary application of this tool at Sandia National Laboratories (SNL) has been for physics-based computational simulations in support of nuclear weapons applications. The two main goals of a PCMM evaluation are 1) the communication of computational simulation capability, accurately and transparently, and 2) the development of input for effective planning. As a result of the increasing importance of computational simulation to SNL's mission, the PCMM has evolved through multiple generations with the goal to provide more clarity, rigor, and completeness in its application. This report describes the approach used to develop the fourth generation of the PCMM.

  3. Smart Grid Technology Interactive Model | Argonne National Laboratory

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

    Smart Grid Primer (Smart Grid Books) Smart Grid Primer (Smart Grid Books) Smart Grid Primer (Smart Grid Books) The Smart Grid: An Introduction, prepared 2008, is a publication sponsored by DOE's Office of Electricity Delivery and Energy Reliability that explores - in layman's terms - the nature, challenges, opportunities and necessity of Smart Grid implementation. Additional books, released in 2009, target the interests of specific stakeholder groups: Consumer Advocates, Utilities, Technology

  4. NREL: Transmission Grid Integration - Generator Modeling

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

    Generator Modeling Renewable power plants (RPPs) are different from conventional power plants (CPPs) in several ways. While a 300-megawatt (MW) CPP may consist of one or two large ...

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

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

    OIL AND NATURAL GAS SUBSECTOR CYBERSECURITY CAPABILITY MATURITY MODEL (ONG-C2M2) Version 1.1 February 2014 Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model Version 1.1 iii TABLE OF CONTENTS Acknowledgments ......................................................................................................................................... v 1. Introduction

  6. Grid System Planning for Wind: Wind Generator Modeling

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

    System Planning for Wind: Wind Generator Modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste

  7. Icing modelling in NSMB with chimera overset grids

    SciTech Connect (OSTI)

    Pena, D.; Deloze, T.; Laurendeau, E.; Hoarau, Y.

    2015-03-10

    In aerospace Engineering, the accurate simulation of ice accretion is a key element to increase flight safety and avoid accidents related to icing effects. The icing code developed in the NSMB solver is based on an Eulerian formulation for droplets tracking, an iterative Messinger model using a modified water runback scheme for ice thickness calculation and mesh deformation to track the ice/air interface through time. The whole process is parallelized with MPI and applied with chimera grids.

  8. The Integrated Grid Modeling System (IGMS) for Combined Transmission...

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

    PV support for grid operations * Future: * Simulate smart grid storage, PV, and demand response * Simulate alternative market and service architectures * Co-simulation with ...

  9. Cybersecurity Capability Maturity Model (C2M2) | Department of Energy

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

    Program » Cybersecurity Capability Maturity Model (C2M2) Cybersecurity Capability Maturity Model (C2M2) Cybersecurity Capability Maturity Model (C2M2) The C2M2 model, which is designed to be used by any organization to enhance its own cybersecurity capabilities, is publicly available and can be downloaded now. More information is available in the FAQs. For those organizations performing self-assessments, please refer to the C2M2 Facilitators Guide and request a free C2M2 toolkit. The

  10. Climate Model Datasets on Earth System Grid II (ESG II)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Earth System Grid (ESG) is a project that combines the power and capacity of supercomputers, sophisticated analysis servers, and datasets on the scale of petabytes. The goal is to provide a seamless distributed environment that allows scientists in many locations to work with large-scale data, perform climate change modeling and simulation,and share results in innovative ways. Though ESG is more about the computing environment than the data, still there are several catalogs of data available at the web site that can be browsed or search. Most of the datasets are restricted to registered users, but several are open to any access.

  11. Development of the first nonhydrostatic nested-grid grid-point global atmospheric modeling system on parallel machines

    SciTech Connect (OSTI)

    Kao, C.Y.J.; Langley, D.L.; Reisner, J.M.; Smith, W.S.

    1998-11-01

    This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). Evaluating the importance of global and regional climate response to increasing atmospheric concentrations of greenhouse gases requires a comprehensive global atmospheric modeling system (GAMS) capable of simulations over a wide range of atmospheric circulations, from complex terrain to continental scales, on high-performance computers. Unfortunately, all of the existing global circulation models (GCMs) do not meet this requirements, because they suffer from one or more of the following three shortcomings: (1) use of the hydrostatic approximation, which makes the models potentially ill-posed; (2) lack of a nested-grid (or multi-grid) capability, which makes it difficult to consistently evaluate the regional climate response to the global warming, and (3) spherical spectral (opposed to grid-point finite-difference) representation of model variables, which hinders model performance for parallel machine applications. The end product of the research is a highly modularized, multi-gridded, self-calibratable (for further parameterization development) global modeling system with state-of-the-science physics and chemistry. This system will be suitable for a suite of atmospheric problems: from local circulations to climate, from thunderstorms to global cloud radiative forcing, from urban pollution to global greenhouse trace gases, and from the guiding of field experiments to coupling with ocean models. It will also provide a unique testbed for high-performance computing architecture.

  12. SGIP Smart Grid Interoperabilty Panel

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

    to Grid Industry to Grid Business & Policy Vehicle to Grid Distributed Renewables, Generation & Storage Wireless Comm ... Smart Grid Information Model OPC Unified ...

  13. From the Building to the Grid: An Energy Revolution and Modeling Challenge;

    Office of Scientific and Technical Information (OSTI)

    Workshop Proceedings (Technical Report) | SciTech Connect From the Building to the Grid: An Energy Revolution and Modeling Challenge; Workshop Proceedings Citation Details In-Document Search Title: From the Building to the Grid: An Energy Revolution and Modeling Challenge; Workshop Proceedings This report summarizes the workshop entitled: From the Building to the Grid: An Energy Revolution and Modeling Challenge. The first workshop was held May 1-2, 2012 on NREL's campus in Golden, Colorado.

  14. Cybersecurity Capability Maturity Model (C2M2) | Department of...

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

    The C2M2 model, which is designed to be used by any organization to enhance its own ... support adoption of the C2M2. If your organization has questions about the C2M2 model or ...

  15. From the Building to the Grid: An Energy Revolution and Modeling...

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

    these questions) Is there value to integrating the existing models in building energy management systems with those of the grid? a. If so, what are the particular research...

  16. Development of a Sub-Grid Model of a Diesel Particulate Filter...

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

    of the lattice-Boltzmann technique Development of a Sub-Grid Model of a Diesel Particulate Filter: application of the lattice-Boltzmann technique 2002 DEER Conference ...

  17. Modeling scramjet combustor flowfields with a grid adaptation scheme

    SciTech Connect (OSTI)

    Ramakrishnan, R.; Singh, D.J. )

    1994-05-01

    The accurate description of flow features associated with the normal injection of fuel into supersonic primary flows is essential in the design of efficient engines for hypervelocity aerospace vehicles. The flow features in such injections are complex with multiple interactions between shocks and between shocks and boundary layers. Numerical studies of perpendicular sonic N2 injection and mixing in a Mach 3.8 scramjet combustor environment are discussed. A dynamic grid adaptation procedure based on the equilibration of spring-mass systems is employed to enhance the description of the complicated flow features. Numerical results are compared with experimental measurements and indicate that the adaptation procedure enhances the capability of the modeling procedure to describe the flow features associated with scramjet combustor components. 14 refs.

  18. An Adaptive Multi-Grid Chemistry (AMC) Model for Efficient Simulation of

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

    HCCI and DI Engine Combustion | Department of Energy An Adaptive Multi-Grid Chemistry (AMC) Model for Efficient Simulation of HCCI and DI Engine Combustion An Adaptive Multi-Grid Chemistry (AMC) Model for Efficient Simulation of HCCI and DI Engine Combustion An adaptive multi-grid technique was used to group thermodynamically similar cells in order to reduce the calling frequency to the chemistry solver. deer08_shi.pdf (189.13 KB) More Documents & Publications Homogeneous Charge

  19. Laboratory tests of IEC DER object models for grid applications.

    SciTech Connect (OSTI)

    Blevins, John D.; Menicucci, David F.; Byrd, Thomas, Jr.; Gonzalez, Sigifredo; Ginn, Jerry W.; Ortiz-Moyet, Juan

    2007-02-01

    This report describes a Cooperative Research and Development Agreement (CRADA) between Salt River Project Agricultural Improvement and Power District (SRP) and Sandia National Laboratories to jointly develop advanced methods of controlling distributed energy resources (DERs) that may be located within SRP distribution systems. The controls must provide a standardized interface to allow plug-and-play capability and should allow utilities to take advantage of advanced capabilities of DERs to provide a value beyond offsetting load power. To do this, Sandia and SRP field-tested the IEC 61850-7-420 DER object model (OM) in a grid environment, with the goal of validating whether the model is robust enough to be used in common utility applications. The diesel generator OM tested was successfully used to accomplish basic genset control and monitoring. However, as presently constituted it does not enable plug-and-play functionality. Suggestions are made of aspects of the standard that need further development and testing. These problems are far from insurmountable and do not imply anything fundamentally unsound or unworkable in the standard.

  20. Grid Integration of Aggregated Demand Response, Part 2: Modeling Demand Response in a Production Cost Model

    Broader source: Energy.gov [DOE]

    Renewable integration studies have evaluated many challenges associated with deploying large amounts of variable wind and solar generation technologies. These studies can evaluate operational impacts associated with variable generation, benefits of improved wind and solar resource forecasting, and trade-offs between institutional changes, including increasing balancing area cooperation and technical changes such as installing new flexible generation. Demand response (DR) resources present a potentially important source of grid flexibility and can aid in integrating variable generation; however, integration analyses have not yet incorporated these resources explicitly into grid simulation models as part of a standard toolkit for resource planners.

  1. Grid Integration of Aggregated Demand Response, Part 2: Modeling Demand Response in a Production Cost Model

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

    Grid Integration of Aggregated Demand Response, Part 2: Modeling Demand Response in a Production Cost Model Marissa Hummon, David Palchak, Paul Denholm, and Jennie Jorgenson National Renewable Energy Laboratory Daniel J. Olsen, Sila Kiliccote, Nance Matson, Michael Sohn, Cody Rose, Junqiao Dudley, and Sasank Goli Lawrence Berkeley National Laboratory Ookie Ma U.S. Department of Energy Technical Report NREL/TP-6A20-58492 December 2013 NREL is a national laboratory of the U.S. Department of Energy

  2. March 15 PSERC Webinar: Synthetic Power Grid Models: What are They. How

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

    They're Made, and Why They Matter | Department of Energy March 15 PSERC Webinar: Synthetic Power Grid Models: What are They. How They're Made, and Why They Matter March 15 PSERC Webinar: Synthetic Power Grid Models: What are They. How They're Made, and Why They Matter March 3, 2016 - 11:10am Addthis The DOE-funded Power Systems Engineering Research Center (PSERC) is offering a free public webinar that will address the problems with obtaining data from power grid models, and the inadequacies

  3. Development of a Sub-Grid Model of a Diesel Particulate Filter: application

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

    of the lattice-Boltzmann technique | Department of Energy Sub-Grid Model of a Diesel Particulate Filter: application of the lattice-Boltzmann technique Development of a Sub-Grid Model of a Diesel Particulate Filter: application of the lattice-Boltzmann technique 2002 DEER Conference Presentation: Pacific Northwest National Laboratory 2002_deer_muntean.pdf (1.76 MB) More Documents & Publications The State of the Science in Diesel Particulate Control fundamental Modeling and Experimental

  4. A Reference Model for Distribution Grid Control in the 21st Century

    SciTech Connect (OSTI)

    Taft, Jeffrey D.; De Martini, Paul; Kristov, Lorenzo

    2015-07-01

    Intensive changes in the structure of the grid due to the penetration of new technologies, coupled with changing societal needs are outpacing the capabilities of traditional grid control systems. The gap is widening at an accelerating rate with the biggest impacts occurring at the distribution level due to the widespread adoption of diverse distribution-connected energy resources (DER) . This paper outlines the emerging distribution grid control environment, defines the new distribution control problem, and provides a distribution control reference model. The reference model offers a schematic representation of the problem domain to inform development of system architecture and control solutions for the high-DER electric system.

  5. Advanced Grid Modeling Program Peer Review June 17-18, 2014

    Broader source: Energy.gov [DOE]

    The Office of Electricity Delivery and Energy Reliability will hold a peer review of the Advanced Grid Modeling Program on June 17-18, 2014, at the Hilton Alexandria Old Town in Alexandria, VA.

  6. Triangle geometry processing for surface modeling and cartesian grid generation

    DOE Patents [OSTI]

    Aftosmis, Michael J [San Mateo, CA; Melton, John E [Hollister, CA; Berger, Marsha J [New York, NY

    2002-09-03

    Cartesian mesh generation is accomplished for component based geometries, by intersecting components subject to mesh generation to extract wetted surfaces with a geometry engine using adaptive precision arithmetic in a system which automatically breaks ties with respect to geometric degeneracies. During volume mesh generation, intersected surface triangulations are received to enable mesh generation with cell division of an initially coarse grid. The hexagonal cells are resolved, preserving the ability to directionally divide cells which are locally well aligned.

  7. Evaluation of deltamethrin kinetics and dosimetry in the maturing rat using a PBPK model

    SciTech Connect (OSTI)

    Tornero-Velez, Rogelio; Mirfazaelian, Ahmad; Kim, Kyu-Bong; Anand, Sathanandam S.; Kim, Hyo J.; Haines, Wendy T.; Bruckner, James V.; Fisher, Jeffrey W.

    2010-04-15

    Immature rats are more susceptible than adults to the acute neurotoxicity of pyrethroid insecticides like deltamethrin (DLM). A companion kinetics study (Kim et al., in press) revealed that blood and brain levels of the neuroactive parent compound were inversely related to age in rats 10, 21, 40 and 90 days old. The objective of the current study was to modify a physiologically based pharmacokinetic (PBPK) model of DLM disposition in the adult male Sprague-Dawley rat (Mirfazaelian et al., 2006), so blood and target organ dosimetry could be accurately predicted during maturation. Age-specific organ weights and age-dependent changes in the oxidative and hydrolytic clearance of DLM were modeled with a generalized Michaelis-Menten model for growth and the summary equations incorporated into the PBPK model. The model's simulations compared favorably with empirical DLM time-courses in plasma, blood, brain and fat for the four age-groups evaluated (10, 21, 40 and 90 days old). PND 10 pups' area under the 24-h brain concentration time curve (AUC{sub 0-24h}) was 3.8-fold higher than that of the PND 90 adults. Our maturing rat PBPK model allows for updating with age- and chemical-dependent parameters, so pyrethroid dosimetry can be forecast in young and aged individuals. Hence, this model provides a methodology for risk assessors to consider age-specific adjustments to oral Reference Doses on the basis of PK differences.

  8. Incorporation of NREL Solar Advisor Model Photovoltaic Capabilities with GridLAB-D

    SciTech Connect (OSTI)

    Tuffner, Francis K.; Hammerstrom, Janelle L.; Singh, Ruchi

    2012-10-19

    This report provides a summary of the work updating the photovoltaic model inside GridLAB-D. The National Renewable Energy Laboratory Solar Advisor Model (SAM) was utilized as a basis for algorithms and validation of the new implementation. Subsequent testing revealed that the two implementations are nearly identical in both solar impacts and power output levels. This synergized model aides the system-level impact studies of GridLAB-D, but also allows more specific details of a particular site to be explored via the SAM software.

  9. Grid Modeling for the SunShot Vision Study

    SciTech Connect (OSTI)

    Brinkman, G.; Denholm, P.; Drury, E.; Ela, E.; Mai, T.; Margolis, R.; Mowers, M.

    2012-02-01

    This document describes the use of production cost modeling in the SunShot Vision study, including methods used to create the SunShot Vision scenarios, their implementation in the Gridview model, and assumptions regarding transmission system and operation of each generator type. It also describes challenges and limitations of modeling solar generation technologies in production cost models, and suggests methods for improving their representation in current models.

  10. Grid System Planning for Wind: Wind Generator Modeling

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

    Models for Integrating EnergyWater Facilities Atmospheric Radiation Measurement Climate ... of the four types of wind turbine generators, the various modules that are ...

  11. From the Building to the Grid: An Energy Revolution and Modeling Challenge; Workshop Proceedings

    SciTech Connect (OSTI)

    Kroposki, B.; Komomua, C.; O'Malley, M.

    2013-01-01

    This report summarizes the workshop entitled: From the Building to the Grid: An Energy Revolution and Modeling Challenge. The first workshop was held May 1-2, 2012 on NREL's campus in Golden, Colorado. The second was held June 6-7, 2012 at the University College Dublin, in Dublin, Ireland.

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

    SciTech Connect (OSTI)

    Not Available

    2013-11-01

    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.

  13. Developing Generic Dynamic Models for the 2030 Eastern Interconnection Grid

    SciTech Connect (OSTI)

    Kou, Gefei; Hadley, Stanton W; Markham, Penn N; Liu, Yilu

    2013-12-01

    The Eastern Interconnection Planning Collaborative (EIPC) has built three major power flow cases for the 2030 Eastern Interconnection (EI) based on various levels of energy/environmental policy conditions, technology advances, and load growth. Using the power flow cases, this report documents the process of developing the generic 2030 dynamic models using typical dynamic parameters. The constructed model was validated indirectly using the synchronized phasor measurements by removing the wind generation temporarily.

  14. Introducing Enabling Computational Tools to the Climate Sciences: Multi-Resolution Climate Modeling with Adaptive Cubed-Sphere Grids

    SciTech Connect (OSTI)

    Jablonowski, Christiane

    2015-07-14

    The research investigates and advances strategies how to bridge the scale discrepancies between local, regional and global phenomena in climate models without the prohibitive computational costs of global cloud-resolving simulations. In particular, the research explores new frontiers in computational geoscience by introducing high-order Adaptive Mesh Refinement (AMR) techniques into climate research. AMR and statically-adapted variable-resolution approaches represent an emerging trend for atmospheric models and are likely to become the new norm in future-generation weather and climate models. The research advances the understanding of multi-scale interactions in the climate system and showcases a pathway how to model these interactions effectively with advanced computational tools, like the Chombo AMR library developed at the Lawrence Berkeley National Laboratory. The research is interdisciplinary and combines applied mathematics, scientific computing and the atmospheric sciences. In this research project, a hierarchy of high-order atmospheric models on cubed-sphere computational grids have been developed that serve as an algorithmic prototype for the finite-volume solution-adaptive Chombo-AMR approach. The foci of the investigations have lied on the characteristics of both static mesh adaptations and dynamically-adaptive grids that can capture flow fields of interest like tropical cyclones. Six research themes have been chosen. These are (1) the introduction of adaptive mesh refinement techniques into the climate sciences, (2) advanced algorithms for nonhydrostatic atmospheric dynamical cores, (3) an assessment of the interplay between resolved-scale dynamical motions and subgrid-scale physical parameterizations, (4) evaluation techniques for atmospheric model hierarchies, (5) the comparison of AMR refinement strategies and (6) tropical cyclone studies with a focus on multi-scale interactions and variable-resolution modeling. The results of this research project

  15. Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction

    SciTech Connect (OSTI)

    Fuller, Jason C.; Vyakaranam, Bharat GNVSR; Prakash Kumar, Nirupama; Leistritz, Sean M.; Parker, Graham B.

    2012-04-29

    The widespread adoption of demand response enabled appliances and thermostats can result in significant reduction to peak electrical demand and provide potential grid stabilization benefits. GE has developed a line of appliances that will have the capability of offering several levels of demand reduction actions based on information from the utility grid, often in the form of price. However due to a number of factors, including the number of demand response enabled appliances available at any given time, the reduction of diversity factor due to the synchronizing control signal, and the percentage of consumers who may override the utility signal, it can be difficult to predict the aggregate response of a large number of residences. The effects of these behaviors can be modeled and simulated in open-source software, GridLAB-D, including evaluation of appliance controls, improvement to current algorithms, and development of aggregate control methodologies. This report is the first in a series of three reports describing the potential of GE's demand response enabled appliances to provide benefits to the utility grid. The first report will describe the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The second and third reports will explore the potential of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation and the effects on volt-var control schemes.

  16. Sub-grid drag models for horizontal cylinder arrays immersed in gas-particle multiphase flows

    SciTech Connect (OSTI)

    Sarkar, Avik; Sun, Xin; Sundaresan, Sankaran

    2013-09-08

    Immersed cylindrical tube arrays often are used as heat exchangers in gas-particle fluidized beds. In multiphase computational fluid dynamics (CFD) simulations of large fluidized beds, explicit resolution of small cylinders is computationally infeasible. Instead, the cylinder array may be viewed as an effective porous medium in coarse-grid simulations. The cylinders' influence on the suspension as a whole, manifested as an effective drag force, and on the relative motion between gas and particles, manifested as a correction to the gas-particle drag, must be modeled via suitable sub-grid constitutive relationships. In this work, highly resolved unit-cell simulations of flow around an array of horizontal cylinders, arranged in a staggered configuration, are filtered to construct sub-grid, or `filtered', drag models, which can be implemented in coarse-grid simulations. The force on the suspension exerted by the cylinders is comprised of, as expected, a buoyancy contribution, and a kinetic component analogous to fluid drag on a single cylinder. Furthermore, the introduction of tubes also is found to enhance segregation at the scale of the cylinder size, which, in turn, leads to a reduction in the filtered gas-particle drag.

  17. Super-Grid Modeling of the Elastic Wave Equation in Semi-Bounded Domains

    SciTech Connect (OSTI)

    Petersson, N. Anders; Sjögreen, Björn

    2014-10-01

    Abstract

    We develop a super-grid modeling technique for solving the elastic wave equation in semi-bounded two- and three-dimensional spatial domains. In this method, waves are slowed down and dissipated in sponge layers near the far-field boundaries. Mathematically, this is equivalent to a coordinate mapping that transforms a very large physical domain to a significantly smaller computational domain, where the elastic wave equation is solved numerically on a regular grid. To damp out waves that become poorly resolved because of the coordinate mapping, a high order artificial dissipation operator is added in layers near the boundaries of the computational domain. We prove by energy estimates that the super-grid modeling leads to a stable numerical method with decreasing energy, which is valid for heterogeneous material properties and a free surface boundary condition on one side of the domain. Our spatial discretization is based on a fourth order accurate finite difference method, which satisfies the principle of summation by parts. We show that the discrete energy estimate holds also when a centered finite difference stencil is combined with homogeneous Dirichlet conditions at several ghost points outside of the far-field boundaries. Therefore, the coefficients in the finite difference stencils need only be boundary modified near the free surface. This allows for improved computational efficiency and significant simplifications of the implementation of the proposed method in multi-dimensional domains. Numerical experiments in three space dimensions show that the modeling error from truncating the domain can be made very small by choosing a sufficiently wide super-grid damping layer. The numerical accuracy is first evaluated against analytical solutions of Lamb’s problem, where fourth order accuracy is observed with a sixth order artificial dissipation. We then use successive grid refinements to study the numerical accuracy in the more

  18. "Artificial" brains, electrical grids, and disease modeling: Los Alamos

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

    science discoveries unveiled September 15 Science discoveries unveiled "Artificial" brains, electrical grids, and disease modeling: Los Alamos science discoveries unveiled September 15 The event is an opportunity for business leaders and community members to learn about where science is heading, as well as for students to discover potential new career directions. September 8, 2009 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez

  19. Integrating smart sensors into grid...

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

    Integrating smart sensors into grid systems will enable more complex modeling and ... in currents at A levels in electric grids, which can enable the early detection of ...

  20. 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

    2009-03-19

    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.

  1. Predictive Maturity of Multi-Scale Simulation Models for Fuel Performance

    SciTech Connect (OSTI)

    Atamturktur, Sez; Unal, Cetin; Hemez, Francois; Williams, Brian; Tome, Carlos

    2015-03-16

    The project proposed to provide a Predictive Maturity Framework with its companion metrics that (1) introduce a formalized, quantitative means to communicate information between interested parties, (2) provide scientifically dependable means to claim completion of Validation and Uncertainty Quantification (VU) activities, and (3) guide the decision makers in the allocation of Nuclear Energy’s resources for code development and physical experiments. The project team proposed to develop this framework based on two complimentary criteria: (1) the extent of experimental evidence available for the calibration of simulation models and (2) the sophistication of the physics incorporated in simulation models. The proposed framework is capable of quantifying the interaction between the required number of physical experiments and degree of physics sophistication. The project team has developed this framework and implemented it with a multi-scale model for simulating creep of a core reactor cladding. The multi-scale model is composed of the viscoplastic self-consistent (VPSC) code at the meso-scale, which represents the visco-plastic behavior and changing properties of a highly anisotropic material and a Finite Element (FE) code at the macro-scale to represent the elastic behavior and apply the loading. The framework developed takes advantage of the transparency provided by partitioned analysis, where independent constituent codes are coupled in an iterative manner. This transparency allows model developers to better understand and remedy the source of biases and uncertainties, whether they stem from the constituents or the coupling interface by exploiting separate-effect experiments conducted within the constituent domain and integral-effect experiments conducted within the full-system domain. The project team has implemented this procedure with the multi- scale VPSC-FE model and demonstrated its ability to improve the predictive capability of the model. Within this

  2. COLLABORATIVE RESEARCH: CONTINUOUS DYNAMIC GRID ADAPTATION IN A GLOBAL ATMOSPHERIC MODEL: APPLICATION AND REFINEMENT

    SciTech Connect (OSTI)

    Gutowski, William J.; Prusa, Joseph M.; Smolarkiewicz, Piotr K.

    2012-05-08

    This project had goals of advancing the performance capabilities of the numerical general circulation model EULAG and using it to produce a fully operational atmospheric global climate model (AGCM) that can employ either static or dynamic grid stretching for targeted phenomena. The resulting AGCM combined EULAG's advanced dynamics core with the "physics" of the NCAR Community Atmospheric Model (CAM). Effort discussed below shows how we improved model performance and tested both EULAG and the coupled CAM-EULAG in several ways to demonstrate the grid stretching and ability to simulate very well a wide range of scales, that is, multi-scale capability. We leveraged our effort through interaction with an international EULAG community that has collectively developed new features and applications of EULAG, which we exploited for our own work summarized here. Overall, the work contributed to over 40 peer-reviewed publications and over 70 conference/workshop/seminar presentations, many of them invited. 3a. EULAG Advances EULAG is a non-hydrostatic, parallel computational model for all-scale geophysical flows. EULAG's name derives from its two computational options: EULerian (flux form) or semi-LAGrangian (advective form). The model combines nonoscillatory forward-in-time (NFT) numerical algorithms with a robust elliptic Krylov solver. A signature feature of EULAG is that it is formulated in generalized time-dependent curvilinear coordinates. In particular, this enables grid adaptivity. In total, these features give EULAG novel advantages over many existing dynamical cores. For EULAG itself, numerical advances included refining boundary conditions and filters for optimizing model performance in polar regions. We also added flexibility to the model's underlying formulation, allowing it to work with the pseudo-compressible equation set of Durran in addition to EULAG's standard anelastic formulation. Work in collaboration with others also extended the demonstrated range of

  3. A Multi-Stage Wear Model for Grid-to-Rod Fretting of Nuclear Fuel Rods

    SciTech Connect (OSTI)

    Blau, Peter Julian

    2014-01-01

    The wear of fuel rod cladding against the supporting structures in the cores of pressurized water nuclear reactors (PWRs) is an important and potentially costly tribological issue. Grid-to-rod fretting (GTRF), as it is known, involves not only time-varying contact conditions, but also elevated temperatures, flowing hot water, aqueous tribo-corrosion, and the embrittling effects of neutron fluences. The multi-stage, closed-form analytical model described in this paper relies on published out-of-reactor wear and corrosion data and a set of simplifying assumptions to portray the conversion of frictional work into wear depth. The cladding material of interest is a zirconium-based alloy called Zircaloy-4, and the grid support is made of a harder and more wear-resistant material. Focus is on the wear of the cladding. The model involves an incubation stage, a surface oxide wear stage, and a base alloy wear stage. The wear coefficient, which is a measure of the efficiency of conversion of frictional work into wear damage, can change to reflect the evolving metallurgical condition of the alloy. Wear coefficients for Zircaloy-4 and for a polyphase zirconia layer were back-calculated for a range of times required to wear to a critical depth. Inputs for the model, like the friction coefficient, are taken from the tribology literature in lieu of in-reactor tribological data. Concepts of classical fretting were used as a basis, but are modified to enable the model to accommodate the complexities of the PWR environment. Factors like grid spring relaxation, pre-oxidation of the cladding, multiple oxide phases, gap formation, impact, and hydrogen embrittlement are part of the problem definition but uncertainties in their relative roles limits the ability to validate the model. Sample calculations of wear depth versus time in the cladding illustrate how GTRF wear might occur in a discontinuous fashion during months-long reactor operating cycles. A means to account for grid/rod gaps

  4. COLLABORATIVE RESEARCH: CONTINUOUS DYNAMIC GRID ADAPTATION IN A GLOBAL ATMOSPHERIC MODEL: APPLICATION AND REFINEMENT

    SciTech Connect (OSTI)

    Prusa, Joseph

    2012-05-08

    This project had goals of advancing the performance capabilities of the numerical general circulation model EULAG and using it to produce a fully operational atmospheric global climate model (AGCM) that can employ either static or dynamic grid stretching for targeted phenomena. The resulting AGCM combined EULAGâ??s advanced dynamics core with the â??physicsâ? of the NCAR Community Atmospheric Model (CAM). Effort discussed below shows how we improved model performance and tested both EULAG and the coupled CAM-EULAG in several ways to demonstrate the grid stretching and ability to simulate very well a wide range of scales, that is, multi-scale capability. We leveraged our effort through interaction with an international EULAG community that has collectively developed new features and applications of EULAG, which we exploited for our own work summarized here. Overall, the work contributed to over 40 peer- reviewed publications and over 70 conference/workshop/seminar presentations, many of them invited.

  5. 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

    2014-01-31

    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.

  6. A new model of radiation-induced myelopathy: A comparison of the response of mature and immature pigs

    SciTech Connect (OSTI)

    Aardweg, G.J.M.J. van den; Hopewell, J.W.; Whitehouse, E.M.; Calvo, W.

    1994-07-01

    The purpose was development of an experimental model of radiation-induced myelopathy in the pig which would facilitate the study of the effects of clinically relevant treatment volumes. The effects of local spinal cord irradiation, to a standard 10 X 5 cm field, have been evaluated in mature (37-42.5 weeks) and immature (15.5-23 weeks) pigs. Irradiation was with single doses of {sup 60}Co {gamma}rays at a dose-rate of 0.21-0.65 Gy/min. The incidence of paralysis was used as an endpoint. Irradiation of mature animals resulted in the development of frank paralysis with animals showing combined parenchymal and vascular pathologic changes in their white matter. These lesions, in common with those seen in patients, had a clear evidence of an inflammatory component. The latency for paralysis was short, 7.5-16.5 weeks, but within the wide range reported for patients. However, it was shorter than that reported in other large animal models. The ED{sub 50} value ({+-}SE) for paralysis was 27.02{+-}0.36 Gy, similar to that in rats taking into account dose-rate factors. The irradiation of immature pigs only resulted in transient neurological changes after doses comparable to those used in the mature animals, ED{sub 50} value ({+-}SE) 26.09{+-}0.37 Gy. The reasons for these transient neurological symptoms are uncertain. A reliable experimental model of radiation-induced myelopathy has been developed for mature pigs. This model is suitable for the study of clinically relevant volume effects. 39 refs., 4 figs., 1 tab.

  7. NEW ATLAS9 AND MARCS MODEL ATMOSPHERE GRIDS FOR THE APACHE POINT OBSERVATORY GALACTIC EVOLUTION EXPERIMENT (APOGEE)

    SciTech Connect (OSTI)

    Meszaros, Sz.; Allende Prieto, C.; De Vicente, A.; Edvardsson, B.; Gustafsson, B.; Castelli, F.; Garcia Perez, A. E.; Majewski, S. R.; Plez, B.; Schiavon, R.; Shetrone, M.

    2012-10-01

    We present a new grid of model photospheres for the SDSS-III/APOGEE survey of stellar populations of the Galaxy, calculated using the ATLAS9 and MARCS codes. New opacity distribution functions were generated to calculate ATLAS9 model photospheres. MARCS models were calculated based on opacity sampling techniques. The metallicity ([M/H]) spans from -5 to 1.5 for ATLAS and -2.5 to 0.5 for MARCS models. There are three main differences with respect to previous ATLAS9 model grids: a new corrected H{sub 2}O line list, a wide range of carbon ([C/M]) and {alpha} element [{alpha}/M] variations, and solar reference abundances from Asplund et al. The added range of varying carbon and {alpha}-element abundances also extends the previously calculated MARCS model grids. Altogether, 1980 chemical compositions were used for the ATLAS9 grid and 175 for the MARCS grid. Over 808,000 ATLAS9 models were computed spanning temperatures from 3500 K to 30,000 K and log g from 0 to 5, where larger temperatures only have high gravities. The MARCS models span from 3500 K to 5500 K, and log g from 0 to 5. All model atmospheres are publicly available online.

  8. A GRID OF THREE-DIMENSIONAL STELLAR ATMOSPHERE MODELS OF SOLAR METALLICITY. I. GENERAL PROPERTIES, GRANULATION, AND ATMOSPHERIC EXPANSION

    SciTech Connect (OSTI)

    Trampedach, Regner; Asplund, Martin; Collet, Remo; Nordlund, Ake

    2013-05-20

    Present grids of stellar atmosphere models are the workhorses in interpreting stellar observations and determining their fundamental parameters. These models rely on greatly simplified models of convection, however, lending less predictive power to such models of late-type stars. We present a grid of improved and more reliable stellar atmosphere models of late-type stars, based on deep, three-dimensional (3D), convective, stellar atmosphere simulations. This grid is to be used in general for interpreting observations and improving stellar and asteroseismic modeling. We solve the Navier Stokes equations in 3D and concurrent with the radiative transfer equation, for a range of atmospheric parameters, covering most of stellar evolution with convection at the surface. We emphasize the use of the best available atomic physics for quantitative predictions and comparisons with observations. We present granulation size, convective expansion of the acoustic cavity, and asymptotic adiabat as functions of atmospheric parameters.

  9. A Micro-Grid Simulator Tool (SGridSim) using Effective Node-to-Node Complex Impedance (EN2NCI) Models

    SciTech Connect (OSTI)

    Udhay Ravishankar; Milos manic

    2013-08-01

    This paper presents a micro-grid simulator tool useful for implementing and testing multi-agent controllers (SGridSim). As a common engineering practice it is important to have a tool that simplifies the modeling of the salient features of a desired system. In electric micro-grids, these salient features are the voltage and power distributions within the micro-grid. Current simplified electric power grid simulator tools such as PowerWorld, PowerSim, Gridlab, etc, model only the power distribution features of a desired micro-grid. Other power grid simulators such as Simulink, Modelica, etc, use detailed modeling to accommodate the voltage distribution features. This paper presents a SGridSim micro-grid simulator tool that simplifies the modeling of both the voltage and power distribution features in a desired micro-grid. The SGridSim tool accomplishes this simplified modeling by using Effective Node-to-Node Complex Impedance (EN2NCI) models of components that typically make-up a micro-grid. The term EN2NCI models means that the impedance based components of a micro-grid are modeled as single impedances tied between their respective voltage nodes on the micro-grid. Hence the benefit of the presented SGridSim tool are 1) simulation of a micro-grid is performed strictly in the complex-domain; 2) faster simulation of a micro-grid by avoiding the simulation of detailed transients. An example micro-grid model was built using the SGridSim tool and tested to simulate both the voltage and power distribution features with a total absolute relative error of less than 6%.

  10. The global gridded crop model intercomparison: Data and modeling protocols for Phase 1 (v1.0)

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

    Elliott, J.; Müller, C.; Deryng, D.; Chryssanthacopoulos, J.; Boote, K. J.; Büchner, M.; Foster, I.; Glotter, M.; Heinke, J.; Iizumi, T.; et al

    2015-02-11

    We present protocols and input data for Phase 1 of the Global Gridded Crop Model Intercomparison, a project of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The project consist of global simulations of yields, phenologies, and many land-surface fluxes using 12–15 modeling groups for many crops, climate forcing data sets, and scenarios over the historical period from 1948 to 2012. The primary outcomes of the project include (1) a detailed comparison of the major differences and similarities among global models commonly used for large-scale climate impact assessment, (2) an evaluation of model and ensemble hindcasting skill, (3) quantification ofmore » key uncertainties from climate input data, model choice, and other sources, and (4) a multi-model analysis of the agricultural impacts of large-scale climate extremes from the historical record.« less

  11. The global gridded crop model intercomparison: Data and modeling protocols for Phase 1 (v1.0)

    SciTech Connect (OSTI)

    Elliott, J.; Müller, C.; Deryng, D.; Chryssanthacopoulos, J.; Boote, K. J.; Büchner, M.; Foster, I.; Glotter, M.; Heinke, J.; Iizumi, T.; Izaurralde, R. C.; Mueller, N. D.; Ray, D. K.; Rosenzweig, C.; Ruane, A. C.; Sheffield, J.

    2015-02-11

    We present protocols and input data for Phase 1 of the Global Gridded Crop Model Intercomparison, a project of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The project consist of global simulations of yields, phenologies, and many land-surface fluxes using 12–15 modeling groups for many crops, climate forcing data sets, and scenarios over the historical period from 1948 to 2012. The primary outcomes of the project include (1) a detailed comparison of the major differences and similarities among global models commonly used for large-scale climate impact assessment, (2) an evaluation of model and ensemble hindcasting skill, (3) quantification of key uncertainties from climate input data, model choice, and other sources, and (4) a multi-model analysis of the agricultural impacts of large-scale climate extremes from the historical record.

  12. Method of grid generation

    DOE Patents [OSTI]

    Barnette, Daniel W.

    2002-01-01

    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.

  13. Verification of sub-grid filtered drag models for gas-particle fluidized beds with immersed cylinder arrays

    SciTech Connect (OSTI)

    Sarkar, Avik; Sun, Xin; Sundaresan, Sankaran

    2014-04-23

    The accuracy of coarse-grid multiphase CFD simulations of fluidized beds may be improved via the inclusion of filtered constitutive models. In our previous study (Sarkar et al., Chem. Eng. Sci., 104, 399-412), we developed such a set of filtered drag relationships for beds with immersed arrays of cooling tubes. Verification of these filtered drag models is addressed in this work. Predictions from coarse-grid simulations with the sub-grid filtered corrections are compared against accurate, highly-resolved simulations of full-scale turbulent and bubbling fluidized beds. The filtered drag models offer a computationally efficient yet accurate alternative for obtaining macroscopic predictions, but the spatial resolution of meso-scale clustering heterogeneities is sacrificed.

  14. Grid Architecture

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

    ... happen to be connected to the grid, ... of aspirational requirements in the form of desired system (grid) qualities. ... 2. Scalability 3. Minimum environmental ...

  15. SMART Grid

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

    ... Read More Permalink Sandia to Co-Host International Workshop on Photovoltaics (PV) Penetration DETL, Distribution Grid Integration, Energy, Energy Surety, Grid Integration, ...

  16. Smart Grid e-Forum | Department of Energy

    Office of Environmental Management (EM)

    Electricity Advisory Committee Technology Development Smart Grid Demand Response Federal Smart Grid Task Force Microgrids Energy Storage TRAC Program Advanced Modeling Grid ...

  17. Understanding The Smart Grid

    SciTech Connect (OSTI)

    2007-11-15

    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

  18. Scientific Final Report: COLLABORATIVE RESEARCH: CONTINUOUS DYNAMIC GRID ADAPTATION IN A GLOBAL ATMOSPHERIC MODEL: APPLICATION AND REFINEMENT

    SciTech Connect (OSTI)

    William J. Gutowski; Joseph M. Prusa, Piotr K. Smolarkiewicz

    2012-04-09

    This project had goals of advancing the performance capabilities of the numerical general circulation model EULAG and using it to produce a fully operational atmospheric global climate model (AGCM) that can employ either static or dynamic grid stretching for targeted phenomena. The resulting AGCM combined EULAG's advanced dynamics core with the 'physics' of the NCAR Community Atmospheric Model (CAM). Effort discussed below shows how we improved model performance and tested both EULAG and the coupled CAM-EULAG in several ways to demonstrate the grid stretching and ability to simulate very well a wide range of scales, that is, multi-scale capability. We leveraged our effort through interaction with an international EULAG community that has collectively developed new features and applications of EULAG, which we exploited for our own work summarized here. Overall, the work contributed to over 40 peer-reviewed publications and over 70 conference/workshop/seminar presentations, many of them invited.

  19. An Adaptive Multi-Grid Chemistry (AMC) Model for Efficient Simulation...

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

    An adaptive multi-grid technique was used to group thermodynamically similar cells in order to reduce the calling frequency to the chemistry solver. deer08shi.pdf (189.13 KB) More ...

  20. Grid Integration

    SciTech Connect (OSTI)

    Not Available

    2008-09-01

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

  1. Challenges facing production grids

    SciTech Connect (OSTI)

    Pordes, Ruth; /Fermilab

    2007-06-01

    Today's global communities of users expect quality of service from distributed Grid systems equivalent to that their local data centers. This must be coupled to ubiquitous access to the ensemble of processing and storage resources across multiple Grid infrastructures. We are still facing significant challenges in meeting these expectations, especially in the underlying security, a sustainable and successful economic model, and smoothing the boundaries between administrative and technical domains. Using the Open Science Grid as an example, I examine the status and challenges of Grids operating in production today.

  2. Grid Integration of Aggregated Demand Response, Part 2: Modeling Demand Response in a Production Cost Model

    SciTech Connect (OSTI)

    Hummon, Marissa; Palchak, David; Denholm, Paul; Jorgenson, Jennie; Olsen, Daniel J.; Kiliccote, Sila; Matson, Nance; Sohn, Michael; Rose, Cody; Dudley, Junqiao; Goli, Sasank; Ma, Ookie

    2013-12-01

    This report is one of a series stemming from the U.S. Department of Energy (DOE) Demand Response and Energy Storage Integration Study. This study is a multi-national-laboratory effort to assess the potential value of demand response (DR) and energy storage to electricity systems with different penetration levels of variable renewable resources and to improve our understanding of associatedmarkets and institutions. This report implements DR resources in the commercial production cost model PLEXOS.

  3. Atmospheric Properties from the 2006 Niamey Deployment and Climate Simulation with a Geodesic Grid Coupled Climate Model

    SciTech Connect (OSTI)

    Jensen, M; Johnson, K; Mather, J; Randall, D

    2008-03-01

    In 2008, the Atmospheric Radiation Measurement (ARM) Program and the Climate Change Prediction Program (CCPP) have been asked to produce joint science metrics. For CCPP, the metrics will deal with a decade-long control simulation using geodesic grid-coupled climate model. For ARM, the metrics will deal with observations associated with the 2006 deployment of the ARM Mobile Facility (AMF) to Niamey, Niger. Specifically, ARM has been asked to deliver data products for Niamey that describe cloud, aerosol, and dust properties.

  4. Grid Architecture

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report describes the discipline of grid architecture and shows how it has been adapted from the combination of system architecture, network theory, and control engineering to apply to the issues of grid modernization. It shows how grid architecture aids in managing complexity, supports stakeholder communication about the grid, supplies methods to identify gaps and constraints, and provides the ability to compare architectural choices analytically. This approach views the grid as a network of structures, including electrical structure, industry, regulatory, and market structure, information systems and communications, and control and coordination structures and provides the means to understand and plan their interactions. The report then provides architectural views of the existing US power grid structures, with regional and other specializations. It illustrates how organized central wholesale markets are integrated with bulk system control, how distribution level changes related to penetration of Distributed Energy Resources impact both distribution and bulk systems operations, and how certain existing grid structures limit the ability to implement forward-looking changes to the grid. Finally the report provides selected forward looking architectural views for advanced distribution, integrated storage, and wide scale coordination via layered decomposition. The report contains a number of explicitly labeled architectural insights to aid in managing the complexity of grid modernization.

  5. SMART GRID:

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

    the SMART GRID: an introduction. Exploring the imperative of revitalizing America's electric infrastructure. How a smarter grid works as an enabling engine for our economy, our environment and our future. prepared for the U.S. Department of Energy by Litos Strategic Communication under contract No. DE-AC26-04NT41817, Subtask 560.01.04 the SMART GRID: an introduction. the SMART GRID: an introduction. DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United

  6. NREL: Transmission Grid Integration - Hawaii Solar Integration...

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

    Wholesale Electricity Market Operations Energy Imbalance Markets FESTIV Model Active Power Controls Generator Modeling Forecasting Grid Simulation Transmission Planning & Analysis

  7. GridPACK Toolkit for Developing Power Grid Simulations on High...

    Office of Scientific and Technical Information (OSTI)

    This paper describes the GridPACK(tm) framework, which is designed to help power grid engineers develop modeling software capable of running on todays high performance computers. ...

  8. Overture: The grid classes

    SciTech Connect (OSTI)

    Brislawn, K.; Brown, D.; Chesshire, G.; Henshaw, W.

    1997-01-01

    Overture is a library containing classes for grids, overlapping grid generation and the discretization and solution of PDEs on overlapping grids. This document describes the Overture grid classes, including classes for single grids and classes for collections of grids.

  9. Framework for Modeling High-Impact, Low-Frequency Power Grid Events to Support Risk-Informed Decisions

    SciTech Connect (OSTI)

    Veeramany, Arun; Unwin, Stephen D.; Coles, Garill A.; Dagle, Jeffery E.; Millard, W. David; Yao, Juan; Glantz, Clifford S.; Gourisetti, Sri Nikhil Gup

    2015-12-03

    Natural and man-made hazardous events resulting in loss of grid infrastructure assets challenge the electric power grid’s security and resilience. However, the planning and allocation of appropriate contingency resources for such events requires an understanding of their likelihood and the extent of their potential impact. Where these events are of low likelihood, a risk-informed perspective on planning can be problematic as there exists an insufficient statistical basis to directly estimate the probabilities and consequences of their occurrence. Since risk-informed decisions rely on such knowledge, a basis for modeling the risk associated with high-impact low frequency events (HILFs) is essential. Insights from such a model can inform where resources are most rationally and effectively expended. The present effort is focused on development of a HILF risk assessment framework. Such a framework is intended to provide the conceptual and overarching technical basis for the development of HILF risk models that can inform decision makers across numerous stakeholder sectors. The North American Electric Reliability Corporation (NERC) 2014 Standard TPL-001-4 considers severe events for transmission reliability planning, but does not address events of such severity that they have the potential to fail a substantial fraction of grid assets over a region, such as geomagnetic disturbances (GMD), extreme seismic events, and coordinated cyber-physical attacks. These are beyond current planning guidelines. As noted, the risks associated with such events cannot be statistically estimated based on historic experience; however, there does exist a stable of risk modeling techniques for rare events that have proven of value across a wide range of engineering application domains. There is an active and growing interest in evaluating the value of risk management techniques in the State transmission planning and emergency response communities, some of this interest in the context of

  10. Grid Software and Services

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

    allow you to access NERSC (and other Grid enabled computing facilities) via grid interfaces. Grid certificates are credentials that must be initialized for use with grid tools. ...

  11. Development of multi-hierarchy simulation model with non-uniform space grids for collisionless driven reconnection

    SciTech Connect (OSTI)

    Usami, Shunsuke [Department of Helical Plasma Research, National Institute for Fusion Science, Toki 509-5292 (Japan)] [Department of Helical Plasma Research, National Institute for Fusion Science, Toki 509-5292 (Japan); Horiuchi, Ritoku; Ohtani, Hiroaki [Department of Helical Plasma Research, National Institute for Fusion Science, Toki 509-5292 (Japan) [Department of Helical Plasma Research, National Institute for Fusion Science, Toki 509-5292 (Japan); The Graduate University for Advanced Studies (Soken-dai), Toki 509-5292 (Japan); Den, Mitsue [National Institute of Information and Communications Technology, Koganei 184-8795 (Japan)] [National Institute of Information and Communications Technology, Koganei 184-8795 (Japan)

    2013-06-15

    A multi-hierarchy simulation model aimed at magnetic reconnection studies has been developed, in which macroscopic and microscopic physics are solved self-consistently and simultaneously. In this work, the previous multi-hierarchy model by these authors is extended to a more realistic one with non-uniform space grids. Based on the domain decomposition method, the multi-hierarchy model consists of three parts: a magnetohydrodynamics algorithm to express the macroscopic global dynamics, a particle-in-cell algorithm to describe the microscopic kinetic physics, and an interface algorithm to interlock macro and micro hierarchies. For its verification, plasma flow injection is simulated in this multi-hierarchy model and it is confirmed that the interlocking method can describe the correct physics. Furthermore, this model is applied to collisionless driven reconnection in an open system. Magnetic reconnection is found to occur in a micro hierarchy by injecting plasma from a macro hierarchy.

  12. Atmospheric Properties from the 2006 Niamey Deployment and Climate Simulation with a Geodesic Grid Coupled Climate Model Third Quarter 2008

    SciTech Connect (OSTI)

    JH Mather; DA Randall; CJ Flynn

    2008-06-30

    In 2008, the Atmospheric Radiation Measurement (ARM) Program and the Climate Change Prediction Program (CCPP) have been asked to produce joint science metrics. For CCPP, the metrics will deal with a decade-long control simulation using geodesic grid-coupled climate model. For ARM, the metrics will deal with observations associated with the 2006 deployment of the ARM Mobile Facility (AMF) to Niamey, Niger. Specifically, ARM has been asked to deliver data products for Niamey that describe cloud, aerosol, and dust properties. This report describes the aerosol optical depth (AOD) product.

  13. Elforsk Smart grid programme (Smart Grid Project) | Open Energy...

    Open Energy Info (EERE)

    in Europe Smart Grid Projects - Smart Meter and AMI Smart Grid Projects - Grid Automation Transmission Smart Grid Projects - Grid Automation Distribution Smart Grid Projects...

  14. Electrical vehicles impacts on the grids (Smart Grid Project...

    Open Energy Info (EERE)

    Smart Grid Projects Smart Grid Projects in Europe Smart Grid Projects - Grid Automation Distribution Smart Grid Projects - Home application Smart Grid Projects - Customer...

  15. A NEW THREE-DIMENSIONAL SOLAR WIND MODEL IN SPHERICAL COORDINATES WITH A SIX-COMPONENT GRID

    SciTech Connect (OSTI)

    Feng, Xueshang; Zhang, Man; Zhou, Yufen

    2014-09-01

    In this paper, we introduce a new three-dimensional magnetohydrodynamics numerical model to simulate the steady state ambient solar wind from the solar surface to 215 R {sub s} or beyond, and the model adopts a splitting finite-volume scheme based on a six-component grid system in spherical coordinates. By splitting the magnetohydrodynamics equations into a fluid part and a magnetic part, a finite volume method can be used for the fluid part and a constrained-transport method able to maintain the divergence-free constraint on the magnetic field can be used for the magnetic induction part. This new second-order model in space and time is validated when modeling the large-scale structure of the solar wind. The numerical results for Carrington rotation 2064 show its ability to produce structured solar wind in agreement with observations.

  16. The GEWEX LandFlux project: Evaluation of model evaporation using tower-based and globally gridded forcing data

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

    McCabe, M. F.; Ershadi, A.; Jimenez, C.; Miralles, D. G.; Michel, D.; Wood, E. F.

    2016-01-26

    Determining the spatial distribution and temporal development of evaporation at regional and global scales is required to improve our understanding of the coupled water and energy cycles and to better monitor any changes in observed trends and variability of linked hydrological processes. With recent international efforts guiding the development of long-term and globally distributed flux estimates, continued product assessments are required to inform upon the selection of suitable model structures and also to establish the appropriateness of these multi-model simulations for global application. In support of the objectives of the Global Energy and Water Cycle Exchanges (GEWEX) LandFlux project, fourmore » commonly used evaporation models are evaluated against data from tower-based eddy-covariance observations, distributed across a range of biomes and climate zones. The selected schemes include the Surface Energy Balance System (SEBS) approach, the Priestley–Taylor Jet Propulsion Laboratory (PT-JPL) model, the Penman–Monteith-based Mu model (PM-Mu) and the Global Land Evaporation Amsterdam Model (GLEAM). Here we seek to examine the fidelity of global evaporation simulations by examining the multi-model response to varying sources of forcing data. To do this, we perform parallel and collocated model simulations using tower-based data together with a global-scale grid-based forcing product. Through quantifying the multi-model response to high-quality tower data, a better understanding of the subsequent model response to the coarse-scale globally gridded data that underlies the LandFlux product can be obtained, while also providing a relative evaluation and assessment of model performance. Using surface flux observations from 45 globally distributed eddy-covariance stations as independent metrics of performance, the tower-based analysis indicated that PT-JPL provided the highest overall statistical performance (0.72; 61 W m–2; 0.65), followed closely by GLEAM

  17. Grid Integration

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

    ... The nation's electricity 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 ...

  18. 2016 News | Grid Modernization | NREL

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

    2016 News Below are news stories related to Grid Modernization. RSS Learn about RSS. August 31, 2016 NREL Supercomputing Model Provides Insights from Higher Wind and Solar Generation in the Eastern Power Grid A new study from the United States Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) used high-performance computing capabilities and innovative visualization tools to model, in unprecedented detail, how the power grid of the eastern United States could operationally

  19. A novel multi-model neuro-fuzzy-based MPPT for three-phase grid-connected photovoltaic system

    SciTech Connect (OSTI)

    Chaouachi, Aymen; Kamel, Rashad M.; Nagasaka, Ken

    2010-12-15

    This paper presents a novel methodology for Maximum Power Point Tracking (MPPT) of a grid-connected 20 kW photovoltaic (PV) system using neuro-fuzzy network. The proposed method predicts the reference PV voltage guarantying optimal power transfer between the PV generator and the main utility grid. The neuro-fuzzy network is composed of a fuzzy rule-based classifier and three multi-layered feed forwarded Artificial Neural Networks (ANN). Inputs of the network (irradiance and temperature) are classified before they are fed into the appropriated ANN for either training or estimation process while the output is the reference voltage. The main advantage of the proposed methodology, comparing to a conventional single neural network-based approach, is the distinct generalization ability regarding to the nonlinear and dynamic behavior of a PV generator. In fact, the neuro-fuzzy network is a neural network based multi-model machine learning that defines a set of local models emulating the complex and nonlinear behavior of a PV generator under a wide range of operating conditions. Simulation results under several rapid irradiance variations proved that the proposed MPPT method fulfilled the highest efficiency comparing to a conventional single neural network and the Perturb and Observe (P and O) algorithm dispositive. (author)

  20. From the Building to the Grid: An Energy Revolution and Modeling...

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

    important. * If we model a whole country, no need for detailed response, but need to know dynamic response. Sophisticated models are not required. * Models should be optimized for...

  1. Modeling

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

    ... Sandia Will Host PV Bankability Workshop at Solar Power International (SPI) 2013 Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid ...

  2. Staggered-grid finite-difference acoustic modeling with the Time-Domain Atmospheric Acoustic Propagation Suite (TDAAPS).

    SciTech Connect (OSTI)

    Aldridge, David Franklin; Collier, Sandra L.; Marlin, David H.; Ostashev, Vladimir E.; Symons, Neill Phillip; Wilson, D. Keith

    2005-05-01

    This document is intended to serve as a users guide for the time-domain atmospheric acoustic propagation suite (TDAAPS) program developed as part of the Department of Defense High-Performance Modernization Office (HPCMP) Common High-Performance Computing Scalable Software Initiative (CHSSI). TDAAPS performs staggered-grid finite-difference modeling of the acoustic velocity-pressure system with the incorporation of spatially inhomogeneous winds. Wherever practical the control structure of the codes are written in C++ using an object oriented design. Sections of code where a large number of calculations are required are written in C or F77 in order to enable better compiler optimization of these sections. The TDAAPS program conforms to a UNIX style calling interface. Most of the actions of the codes are controlled by adding flags to the invoking command line. This document presents a large number of examples and provides new users with the necessary background to perform acoustic modeling with TDAAPS.

  3. NREL: Transmission Grid Integration - Transmission Planning and...

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

    Printable Version Transmission Grid Integration Home Issues Projects Western Wind & Solar ... Electricity Market Operations Energy Imbalance Markets FESTIV Model Active ...

  4. A grid of MHD models for stellar mass loss and spin-down rates of solar analogs

    SciTech Connect (OSTI)

    Cohen, O.; Drake, J. J.

    2014-03-01

    Stellar winds are believed to be the dominant factor in the spin-down of stars over time. However, stellar winds of solar analogs are poorly constrained due to observational challenges. In this paper, we present a grid of magnetohydrodynamic models to study and quantify the values of stellar mass loss and angular momentum loss rates as a function of the stellar rotation period, magnetic dipole component, and coronal base density. We derive simple scaling laws for the loss rates as a function of these parameters, and constrain the possible mass loss rate of stars with thermally driven winds. Despite the success of our scaling law in matching the results of the model, we find a deviation between the 'solar dipole' case and a real case based on solar observations that overestimates the actual solar mass loss rate by a factor of three. This implies that the model for stellar fields might require a further investigation with additional complexity. Mass loss rates in general are largely controlled by the magnetic field strength, with the wind density varying in proportion to the confining magnetic pressure B {sup 2}. We also find that the mass loss rates obtained using our grid models drop much faster with the increase in rotation period than scaling laws derived using observed stellar activity. For main-sequence solar-like stars, our scaling law for angular momentum loss versus poloidal magnetic field strength retrieves the well-known Skumanich decline of angular velocity with time, ?{sub *}?t {sup 1/2}, if the large-scale poloidal magnetic field scales with rotation rate as B{sub p}??{sub ?}{sup 2}.

  5. Efficient algorithm for locating and sizing series compensation devices in large power transmission grids: I. Model implementation

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

    Frolov, Vladimir; Backhaus, Scott; Chertkov, Misha

    2014-10-24

    We explore optimization methods for planning the placement, sizing and operations of Flexible Alternating Current Transmission System (FACTS) devices installed to relieve transmission grid congestion. We limit our selection of FACTS devices to Series Compensation (SC) devices that can be represented by modification of the inductance of transmission lines. Our master optimization problem minimizes the l1 norm of the inductance modification subject to the usual line thermal-limit constraints. We develop heuristics that reduce this non-convex optimization to a succession of Linear Programs (LP) which are accelerated further using cutting plane methods. The algorithm solves an instance of the MatPower Polishmore » Grid model (3299 lines and 2746 nodes) in 40 seconds per iteration on a standard laptop—a speed up that allows the sizing and placement of a family of SC devices to correct a large set of anticipated congestions. We observe that our algorithm finds feasible solutions that are always sparse, i.e., SC devices are placed on only a few lines. In a companion manuscript, we demonstrate our approach on realistically-sized networks that suffer congestion from a range of causes including generator retirement. In this manuscript, we focus on the development of our approach, investigate its structure on a small test system subject to congestion from uniform load growth, and demonstrate computational efficiency on a realistically-sized network.« less

  6. Efficient algorithm for locating and sizing series compensation devices in large power transmission grids: I. Model implementation

    SciTech Connect (OSTI)

    Frolov, Vladimir; Backhaus, Scott; Chertkov, Misha

    2014-10-24

    We explore optimization methods for planning the placement, sizing and operations of Flexible Alternating Current Transmission System (FACTS) devices installed to relieve transmission grid congestion. We limit our selection of FACTS devices to Series Compensation (SC) devices that can be represented by modification of the inductance of transmission lines. Our master optimization problem minimizes the l1 norm of the inductance modification subject to the usual line thermal-limit constraints. We develop heuristics that reduce this non-convex optimization to a succession of Linear Programs (LP) which are accelerated further using cutting plane methods. The algorithm solves an instance of the MatPower Polish Grid model (3299 lines and 2746 nodes) in 40 seconds per iteration on a standard laptop—a speed up that allows the sizing and placement of a family of SC devices to correct a large set of anticipated congestions. We observe that our algorithm finds feasible solutions that are always sparse, i.e., SC devices are placed on only a few lines. In a companion manuscript, we demonstrate our approach on realistically-sized networks that suffer congestion from a range of causes including generator retirement. In this manuscript, we focus on the development of our approach, investigate its structure on a small test system subject to congestion from uniform load growth, and demonstrate computational efficiency on a realistically-sized network.

  7. Efficient Algorithm for Locating and Sizing Series Compensation Devices in Large Transmission Grids: Model Implementation (PART 1)

    SciTech Connect (OSTI)

    Frolov, Vladimir; Backhaus, Scott N.; Chertkov, Michael

    2014-01-14

    We explore optimization methods for planning the placement, sizing and operations of Flexible Alternating Current Transmission System (FACTS) devices installed to relieve transmission grid congestion. We limit our selection of FACTS devices to Series Compensation (SC) devices that can be represented by modification of the inductance of transmission lines. Our master optimization problem minimizes the l1 norm of the inductance modification subject to the usual line thermal-limit constraints. We develop heuristics that reduce this non-convex optimization to a succession of Linear Programs (LP) which are accelerated further using cutting plane methods. The algorithm solves an instance of the MatPower Polish Grid model (3299 lines and 2746 nodes) in 40 seconds per iteration on a standard laptop—a speed up that allows the sizing and placement of a family of SC devices to correct a large set of anticipated congestions. We observe that our algorithm finds feasible solutions that are always sparse, i.e., SC devices are placed on only a few lines. In a companion manuscript, we demonstrate our approach on realistically-sized networks that suffer congestion from a range of causes including generator retirement. In this manuscript, we focus on the development of our approach, investigate its structure on a small test system subject to congestion from uniform load growth, and demonstrate computational efficiency on a realistically-sized network.

  8. Sandia Energy - Transmission Grid Integration

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

    Transmission Grid Integration Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics Grid Integration Transmission Grid Integration Transmission Grid...

  9. Sandia Energy - Distribution Grid Integration

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

    Distribution Grid Integration Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics Grid Integration Distribution Grid Integration Distribution Grid...

  10. GridPV Toolbox

    Energy Science and Technology Software Center (OSTI)

    2014-07-15

    Matlab Toolbox for simulating the impact of solar energy on the distribution grid. 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 GridPV Toolbox 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 feedermore » on satellite images with GPS coordinates. Finally, example simulations functions are included to show potential uses of the toolbox functions.« less

  11. GridPV Toolbox

    SciTech Connect (OSTI)

    Broderick, Robert; Quiroz, Jimmy; Grijalva, Santiago; Reno, Matthew; Coogan, Kyle

    2014-07-15

    Matlab Toolbox for simulating the impact of solar energy on the distribution grid. 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 GridPV Toolbox 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.

  12. Smart Grid Integration Laboratory

    SciTech Connect (OSTI)

    Troxell, Wade

    2011-12-22

    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 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 CSU'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 Laboratory'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

  13. Atmospheric Properties from the 2006 Niamey Deployment and Climate Simulation with a Geodesic Grid Coupled Climate Model - First Quarter 2008

    SciTech Connect (OSTI)

    JH Mather; D Randall

    2007-12-30

    In 2008, the Atmospheric Radiation Measurement (ARM) program and the Climate Change Prediction Program (CCPP) have been asked to produce joint science metrics. For CCPP, the metrics will deal with a decade-long control simulation using geodesic grid-coupled climate model. For ARM, the metrics will deal with observations associated with the 2006 deployment of the ARM Mobile Facility (AMF) to Niamey, Niger. Specifically, ARM has been asked to deliver data products for Niamey that describe cloud, aerosol, and dust properties. The first quarter milestone is initial formulation of the algorithm to produce and make available, new continuous time series of retrieved cloud , aerosol and dust properties, based on results from the ARM Mobile Facility deployment in Niger, Africa. The first quarter milestone has been achieved.

  14. Customer Value Proposition Smart Grid (KEL) (Smart Grid Project...

    Open Energy Info (EERE)

    Smart Grid Projects Smart Grid Projects in Europe Smart Grid Projects - Smart Meter and AMI Smart Grid Projects - Home application Smart Grid Projects - Customer Behavior...

  15. Statistical model for source rock maturity and organic richness using well-log data, Bakken Formation, Williston basin, United States

    SciTech Connect (OSTI)

    Krystinik, K.B.; Charpentier, R.R.

    1987-01-01

    A study of the Bakken Formation, the proposed source rock for much of the hydrocarbons generated in the Williston basin, was done using bulk density, neutron porosity, and resistivity logs, and formation temperatures. Principal components, cluster, and discriminant analyses indicate that the present-day distribution of organic matter controls much of the variability in the log values. Present-day total organic carbon values are high in the central part of the basin near northeastern Montana and along the east edge of the basin, and low in the area of the Nesson anticline and along the southwest edge of the basin. Using a regression of density on temperature and the analysis of residuals from this regression, hydrocarbon maturity effects were partially separated from depositional effects. These analyses suggest that original concentrations of organic matter were low near the limits of the Bakken and increased to a high in northeastern Montana. The pre-maturation distribution of total organic carbon and the present-day total organic carbon distribution, as determined by statistical analyses of well-log data, agree with the results of geochemical analyses. The distributions can be explained by a relatively simple depositional pattern and thermal history for the Bakken. 6 figures, 3 tables.

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

    Office of Environmental Management (EM)

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

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

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

    reliability to reduce customer losses from power disruptions. This report presents findings on smart grid improvements in outage management from OE's Smart Grid Investment ...

  18. Running Grid Jobs

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

    Running Grid Jobs Running Grid Jobs How to submit a grid job to NERSC The following NERSC resources support job submission via Grid interfaces. Remote job submission is based on ...

  19. Grid Integration

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

    2 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  20. Grid Integration

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

    3 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  1. Grid Integration

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

    5 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  2. SMART Grid

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

    Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear Energy

  3. Grid Modernization

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

    - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  4. NREL Smart Grid Projects

    SciTech Connect (OSTI)

    Hambrick, J.

    2012-01-01

    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.

  5. Integrated Grid Modeling System (IGMS) for Combined Transmission and Distribution Simulation

    SciTech Connect (OSTI)

    Palmintier, Bryan

    2015-07-28

    This presentation discusses the next-generation analysis framework for full-scale transmission and distribution modeling that supports millions of highly distributed energy resources, and also discusses future directions for transmission and distribution.

  6. The accuracy of climate models' simulated season lengths and the effectiveness of grid scale correction factors

    SciTech Connect (OSTI)

    Winterhalter, Wade E.

    2011-09-01

    Global climate change is expected to impact biological populations through a variety of mechanisms including increases in the length of their growing season. Climate models are useful tools for predicting how season length might change in the future. However, the accuracy of these models tends to be rather low at regional geographic scales. Here, I determined the ability of several atmosphere and ocean general circulating models (AOGCMs) to accurately simulate historical season lengths for a temperate ectotherm across the continental United States. I also evaluated the effectiveness of regional-scale correction factors to improve the accuracy of these models. I found that both the accuracy of simulated season lengths and the effectiveness of the correction factors to improve the model's accuracy varied geographically and across models. These results suggest that regional specific correction factors do not always adequately remove potential discrepancies between simulated and historically observed environmental parameters. As such, an explicit evaluation of the correction factors' effectiveness should be included in future studies of global climate change's impact on biological populations.

  7. The accuracy of climate models' simulated season lengths and the effectiveness of grid scale correction factors

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

    Winterhalter, Wade E.

    2011-09-01

    Global climate change is expected to impact biological populations through a variety of mechanisms including increases in the length of their growing season. Climate models are useful tools for predicting how season length might change in the future. However, the accuracy of these models tends to be rather low at regional geographic scales. Here, I determined the ability of several atmosphere and ocean general circulating models (AOGCMs) to accurately simulate historical season lengths for a temperate ectotherm across the continental United States. I also evaluated the effectiveness of regional-scale correction factors to improve the accuracy of these models. I foundmore » that both the accuracy of simulated season lengths and the effectiveness of the correction factors to improve the model's accuracy varied geographically and across models. These results suggest that regional specific correction factors do not always adequately remove potential discrepancies between simulated and historically observed environmental parameters. As such, an explicit evaluation of the correction factors' effectiveness should be included in future studies of global climate change's impact on biological populations.« less

  8. Grid Generator for Two, Three-dimensional Finite Element Subsurface Flow Models

    Energy Science and Technology Software Center (OSTI)

    1993-04-28

    GRIDMAKER serves as a preprocessor for finite element models in solving two- and three-dimensional subsurface flow and pollutant transport problems. It is designed to generate three-point triangular or four-point quadrilateral elements for two-dimensional domains and eight-point hexahedron elements for three-dimensional domains. A two-dimensional domain of an aquifer with a variable depth layer is treated as a special case for depth-integrated two-dimensional, finite element subsurface flow models. The program accommodates the need for aquifers with heterogeneousmore » systems by identifying the type of material in each element.« less

  9. Factors circulating in the blood of type 2 diabetes mellitus patients affect osteoblast maturation – Description of a novel in vitro model

    SciTech Connect (OSTI)

    Ehnert, Sabrina; Freude, Thomas; Ihle, Christoph; Mayer, Larissa; Braun, Bianca; Graeser, Jessica; Flesch, Ingo; and others

    2015-03-15

    Type 2 diabetes mellitus (T2DM) is one of the most frequent metabolic disorders in industrialized countries. Among other complications, T2DM patients have an increased fracture risk and delayed fracture healing. We have demonstrated that supraphysiological glucose and insulin levels inhibit primary human osteoblasts' maturation. We aimed at developing a more physiologically relevant in vitro model to analyze T2DM-mediated osteoblast changes. Therefore, SCP-1-immortalized pre-osteoblasts were differentiated with T2DM or control (non-obese and obese) sera. Between both control groups, no significant changes were observed. Proliferation was significantly increased (1.69-fold), while AP activity and matrix mineralization was significantly reduced in the T2DM group. Expression levels of osteogenic marker genes and transcription factors were altered, e.g. down-regulation of RUNX2 and SP-7 or up-regulation of STAT1, in the T2DM group. Active TGF-β levels were significantly increased (1.46-fold) in T2DM patients' sera. SCP-1 cells treated with these sera showed significantly increased TGF-β signaling (2.47-fold). Signaling inhibition effectively restored osteoblast maturation in the T2DM group. Summarizing our data, SCP-1 cells differentiated in the presence of T2DM patients' serum exhibit reduced osteoblast function. Thus, this model has a high physiological impact, as it can identify circulating factors in T2DM patients' blood that may affect bone function, e.g. TGF-β. - Highlights: • We present here a physiologically relevant in vitro model for diabetic osteopathy. • Blood of T2DM patients contains factors that affect osteoblasts' function. • The model developed here can be used to identify these factors, e.g. TGF-β. • Blocking TGF-β signaling partly rescues the osteoblasts' function in the T2DM group. • The model is useful to demonstrate the role of single factors in diabetic osteopathy.

  10. Quick evaluation of multiple geostatistical models using upscaling with coarse grids: A practical study

    SciTech Connect (OSTI)

    Lemouzy, P.

    1997-08-01

    In field delineation phase, uncertainty in hydrocarbon reservoir descriptions is large. To quickly examine the impact of this uncertainty on production performance, it is necessary to evaluate a large number of descriptions in relation to possible production methods (well spacing, injection rate, etc.). The method of using coarse upscaled models was first proposed by Ballin. Unlike other methods (connectivity analysis, tracer simulations), it considers parameters such as PVT, well management, etc. After a detailed review of upscaling issues, applications to water-injection cases (either with balance or imbalance of production, with or without aquifer) and to depletion of an oil reservoir with aquifer coning are presented. Much more important than the method of permeability upscaling far from wells, the need of correct upscaling of numerical well representation is pointed out Methods are proposed to accurately represent fluids volumes in coarse models. Simple methods to upscale relative permeabilities, and methods to efficiently correct numerical dispersion are proposed. Good results are obtained for water injection. The coarse upscaling method allows the performance of sensitivity analyses on model parameters at a much lower CPU cost than comprehensive simulations. Models representing extreme behaviors can be easily distinguished. For depletion of an oil reservoir showing aquifer coning, however, the method did not work property. It is our opinion that further research is required for upscaling close to wells. We therefore recombined this method for practical use in the case of water injection.

  11. 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.

    2011-02-01

    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.

  12. Atmospheric Properties from the 2006 Niamey Deployment and Climate Simulation with a Geodesic Grid Coupled Climate Model Fourth Quarter 2008

    SciTech Connect (OSTI)

    JH Mather; DA Randall; CJ Flynn

    2008-09-30

    In 2008, the Atmospheric Radiation Measurement (ARM) Program and the Climate Change Prediction Program (CCPP) have been asked to produce joint science metrics. For CCPP, the metrics will deal with a decade-long control simulation using geodesic grid-coupled climate model. For ARM, the metrics will deal with observations associated with the 2006 deployment of the ARM Mobile Facility (AMF) to Niamey, Niger. Specifically, ARM has been asked to deliver data products for Niamey that describe cloud, aerosol, and dust properties. The first quarter milestone was the initial formulation of the algorithm for retrieval of these properties. The second quarter milestone included the time series of ARM-retrieved cloud properties and a year-long CCPP control simulation. The third quarter milestone included the time series of ARM-retrieved aerosol optical depth and a three-year CCPP control simulation. This final fourth quarter milestone includes the time-series of aerosol and dust properties and a decade-long CCPP control simulation.

  13. Earth resistivity measurement near substation ground grids

    SciTech Connect (OSTI)

    Lodwig, S.G.; Mateja, S.A.

    1996-11-01

    Proper substation grounding grid design requires good, accurate soil resistivity measurements. This data is essential to model the substation ground grid to design a safe ground grid with a satisfactory ground grid resistance at minimum cost. For substations with several decades of service, there is some concern that a grid may have deteriorated, been damaged during equipment installation or excavation, or that initial soil resistivity measurements were lost or may not have been correctly performed. Ground grid conductors change the substation surface voltage distribution. Any voltage measurements taken at the complete substation will also vary from the tests made without conductors present. During testing, current was injected in the soil by probes placed near the ground grid. The current tends to follow the ground grid conductors since copper is a far better conductor than the soil it is placed in. Resistance readings near grids will be lower than readings in undisturbed soil. Since computer models were unavailable for many years, analyzing the effect of the grid conductors on soil resistivity measurements was very difficult. As a result, soil resistivity measurements made close to substations were of little use to the engineer unless some means of correcting the measured values could be developed. This paper will present results of soil resistivity measurements near a substation ground grid before and after a ground grid has been installed and describes a means of calculating the undisturbed soil model.

  14. Future of Grid-Tied PV Business Models: What Will Happen When PV Penetration on the Distribution Grid is Significant? Preprint

    SciTech Connect (OSTI)

    Graham, S.; Katofsky, R.; Frantzis, L.; Sawyer, H.; Margolis, R.

    2008-05-01

    Eventually, distributed PV will become a more significant part of the generation mix. When this happens, it is expected that utilities will have to take on a more active role in the placement, operation and control of these systems. There are operational complexities and concerns of revenue erosion that will drive utilities into greater involvement of distributed PV and will create new business models. This report summarizes work done by Navigant Consulting Inc. for the National Renewable Energy Laboratory as part of the Department of Energy's work on Renewable System Integration. The objective of the work was to better understand the structure of these future business models and the research, development and demonstration (RD&D) required to support their deployment. This report describes potential future PV business models in terms of combinations of utility ownership and control of the PV assets, and the various relationships between end-users and third-party owners.

  15. Sandia Energy - Grid Modernization Consortium

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

    Grid Modernization Consortium Home Stationary Power Safety, Security & Resilience of Energy Infrastructure Grid Modernization Renewable Energy Integration Grid Modernization...

  16. Grid artifact reduction for direct digital radiography detectors based on rotated stationary grids with homomorphic filtering

    SciTech Connect (OSTI)

    Kim, Dong Sik; Lee, Sanggyun

    2013-06-15

    Purpose: Grid artifacts are caused when using the antiscatter grid in obtaining digital x-ray images. In this paper, research on grid artifact reduction techniques is conducted especially for the direct detectors, which are based on amorphous selenium. Methods: In order to analyze and reduce the grid artifacts, the authors consider a multiplicative grid image model and propose a homomorphic filtering technique. For minimal damage due to filters, which are used to suppress the grid artifacts, rotated grids with respect to the sampling direction are employed, and min-max optimization problems for searching optimal grid frequencies and angles for given sampling frequencies are established. The authors then propose algorithms for the grid artifact reduction based on the band-stop filters as well as low-pass filters. Results: The proposed algorithms are experimentally tested for digital x-ray images, which are obtained from direct detectors with the rotated grids, and are compared with other algorithms. It is shown that the proposed algorithms can successfully reduce the grid artifacts for direct detectors. Conclusions: By employing the homomorphic filtering technique, the authors can considerably suppress the strong grid artifacts with relatively narrow-bandwidth filters compared to the normal filtering case. Using rotated grids also significantly reduces the ringing artifact. Furthermore, for specific grid frequencies and angles, the authors can use simple homomorphic low-pass filters in the spatial domain, and thus alleviate the grid artifacts with very low implementation complexity.

  17. Grid-based Production

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

    Grid-based Production Grid-based Production PDSF is a Tier 2 site for ALICE and as such has the infrastructure in place to run automated grid-based ALICE production jobs. The main...

  18. Nurbs and grid generation

    SciTech Connect (OSTI)

    Barnhill, R.E.; Farin, G.; Hamann, B.

    1995-12-31

    This paper provides a basic overview of NURBS and their application to numerical grid generation. Curve/surface smoothing, accelerated grid generation, and the use of NURBS in a practical grid generation system are discussed.

  19. Grid Modernization Research | Grid Modernization | NREL

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

    Grid Modernization Research NREL addresses the challenges of modernizing the electric grid through high-impact research and development in power systems engineering and resource assessment. The future electric grid must deliver reliable, affordable, and clean electricity to consumers where they want it, when they want it, and how they want it. As part of NREL's energy systems integration activities, grid modernization researchers work with the electricity industry, academia, and other research

  20. Distribution Grid Integration

    Broader source: Energy.gov [DOE]

    The DOE Systems Integration team funds distribution grid integration research and development (R&D) activities to address the technical issues that surround distribution grid planning,...

  1. Distribution Grid Integration

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

    ... Energy, SMART Grid, Systems Analysis, Transmission Grid Integration, Wind Energy Sandia Contributes to International Electrotechnical Commission IEC 61400-26 Availability ...

  2. Transmission Grid Integration

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

    ... Energy, SMART Grid, Systems Analysis, Transmission Grid Integration, Wind Energy Sandia Contributes to International Electrotechnical Commission IEC 61400-26 Availability ...

  3. Marketplace Maturity | Department of Energy

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

    Soft Costs Marketplace Maturity Marketplace Maturity Photo of houses with solar panels on the roof. DOE supports advances in the solar market through innovation as well as ...

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

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

    about grid integration and transmission featured by the U.S. Department of Energy (DOE) Wind Program. September 16, 2015 Argonne National Laboratory Develops New Model to Quantify...

  5. The BNL Smarter Grid Research Strategy

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

    BNL Smarter Grid Research Strategy: Plans and Status Brookhaven National Laboratory Dr. Gerald Stokes, Global & Regional Solutions STEAB October 10,2012 Building the Smarter Grid R&D Vision  The heart of BNL's approach to grid R&D for a Smarter Grid is begins with a geospatially referenced model with access to historical and real time data and measurements.  Next, as a federal enclave, BNL has the ability to perform certain experiments and test new equipment on its grid prior

  6. Eprice (Smart Grid Project) | Open Energy Information

    Open Energy Info (EERE)

    Cancel Submit Categories: Smart Grid Projects Smart Grid Projects in Europe Smart Grid Projects - Grid Automation Transmission Smart Grid Projects - Grid Automation Distribution...

  7. In the OSTI Collections: Keeping Power Grids Stable | OSTI, US...

    Office of Scientific and Technical Information (OSTI)

    ... Figure 2. Test model of a transmission grid. (a) The model grid is composed of 81 nodes, 9 ... NREL has automated portions of the test procedures to reduce the time. A real-time ...

  8. NREL: Distributed Grid Integration - Energy System Basics Video...

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

    Codes & Standards Data Collection & Visualization Hawaii Clean Energy Initiative Microgrids Power Systems Modeling Solar Distributed Grid Integration Technology Development ...

  9. Parallel grid population

    DOE Patents [OSTI]

    Wald, Ingo; Ize, Santiago

    2015-07-28

    Parallel population of a grid with a plurality of objects using a plurality of processors. One example embodiment is a method for parallel population of a grid with a plurality of objects using a plurality of processors. The method includes a first act of dividing a grid into n distinct grid portions, where n is the number of processors available for populating the grid. The method also includes acts of dividing a plurality of objects into n distinct sets of objects, assigning a distinct set of objects to each processor such that each processor determines by which distinct grid portion(s) each object in its distinct set of objects is at least partially bounded, and assigning a distinct grid portion to each processor such that each processor populates its distinct grid portion with any objects that were previously determined to be at least partially bounded by its distinct grid portion.

  10. 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 ...

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

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

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

  12. gridFTP

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

    gridFTP gridFTP Currently only the archive.nersc.gov system is capable of handling GridFTP transfers to HPSS. It accomplishes this by using a special GSI enabled pftp server. Data transfers are multi-threaded but are handled with a single FTP server. Improvements are planned for the future. The pftp server handling GridFTP transfers is garchive.nersc.gov. GridFTP clients must authenticate/transfer to this server to send data to archive.nersc.gov. There are numerous GridFTP clients available that

  13. Installing a Grid-Tied Photovoltaic System

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

    Generating Renewable Ideas for Development Alternatives GRID Alternatives - Solar Affordable Housing Program * Susie Chang, Director of Tribal Programs * Evelyn Blanco, Outreach Coordinator DOE Office of Indian Energy - Tribal Leader Forum - Financing and Investing in Tribal Renewable Energy Projects Generating Renewable Ideas for Development Alternatives Session Agenda  I. GRID Alternatives' Model  II. GRID and the SASH Program: Eligibility Requirements and Tribal Participation  III.

  14. Integrating smart sensors into grid systems

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

    smart sensors into grid systems will enable more complex modeling and adaptation to unknown problems for preventing future catastrophic failures. Passive Microsensor for Autonomous Sensing Grid health and reliability forms the backbone of our Nation's infrastructure. Real time monitoring and fast failure location and identification is critical for electrical grid sustainability. We propose the development of a cheap, fast (µs), fully integrated, passive micro-sensor capable of detecting

  15. Grid Partners | Open Energy Information

    Open Energy Info (EERE)

    Grid Partners Jump to: navigation, search Name: Grid Partners Place: Los Angeles, California Zip: 90025 Product: String representation "GRID Partners i ... duct selection." is too...

  16. Smart Grid | Open Energy Information

    Open Energy Info (EERE)

    Recovery Act Smart Grid Projects Data Collected from the US Recovery Act Smart Grid Investment Grant Projects US Recovery Act Smart Grid Investment Grant Projects (98) The Smart...

  17. DG Demonet Smart LV Grid (Smart Grid Project) | Open Energy Informatio...

    Open Energy Info (EERE)

    Grid Projects Smart Grid Projects in Europe Smart Grid Projects - Integrated System Smart Grid Projects - Grid Automation Distribution Smart Grid Projects - Smart Meter and AMI...

  18. POWER GRID RELIABILITY AND SECURITY

    SciTech Connect (OSTI)

    Bose, Anjan; Venkatasubramanian, Vaithianathan; Hauser, Carl; Bakken, David; Anderson, David; Zhao, Chuanlin; Liu, Dong; Yang, Tao; Meng, Ming; Zhang, Lin; Ning, Jiawei; Tashman, Zaid

    2014-09-30

    This project has led to the development of a real-time simulation platform for electric power grids called Grid Simulator or GridSim for simulating the dynamic and information network interactions of large- scale power systems. The platform consists of physical models of power system components including synchronous generators, loads and control, which are simulated using a modified commercial power simulator namely Transient Stability Analysis Tool (TSAT) [1] together with data cleanup components, as well as an emulated substation level and wide-area power analysis components. The platform also includes realistic representations of communication network middleware that can emulate the real-time information flow back and forth between substations and control centers in wide-area power systems. The platform has been validated on a realistic 6000-bus model of the western American power system. The simulator GridSim developed in this project is the first of its kind in its ability to simulate real-time response of large-scale power grids, and serves as a cost effective real-time stability and control simulation platform for power industry.

  19. gridFTP

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

    The major benefits of GridFTP clients over other HPSS clients are their ability to accept grid credentials that you may already have along with their multi-threaded transfer ...

  20. Dynamic Power Grid Simulation

    Energy Science and Technology Software Center (OSTI)

    2015-09-14

    GridDyn is a part of power grid simulation toolkit. The code is designed using modern object oriented C++ methods utilizing C++11 and recent Boost libraries to ensure compatibility with multiple operating systems and environments.

  1. Fuel rod support grid

    DOE Patents [OSTI]

    Downs, Robert E.; Schwallie, Ambrose L.

    1985-01-01

    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.

  2. Grid Cyber Vulnerability & Assessments

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

    ... to increase power grid reliability and resilience, but also provides adversaries with the ... in industrial control systems for electricity generationtransmissiondistribution ...

  3. EDISON (Smart Grid Project) | Open Energy Information

    Open Energy Info (EERE)

    Comments Cancel Submit Categories: Smart Grid Projects Smart Grid Projects in Europe Smart Grid Projects - Grid Automation Distribution Smart Grid Projects - Smart Meter and AMI...

  4. Address (Smart Grid Project) | Open Energy Information

    Open Energy Info (EERE)

    Categories: Smart Grid Projects Smart Grid Projects in Europe Smart Grid Projects - Integrated System Smart Grid Projects - Home application Smart Grid Projects - Customer Behavior...

  5. Grid Architecture 2

    SciTech Connect (OSTI)

    Taft, Jeffrey D.

    2016-01-01

    The report describes work done on Grid Architecture under the auspices of the Department of Electricity Office of Electricity Delivery and Reliability in 2015. As described in the first Grid Architecture report, the primary purpose of this work is to provide stakeholder insight about grid issues so as to enable superior decision making on their part. Doing this requires the creation of various work products, including oft-times complex diagrams, analyses, and explanations. This report provides architectural insights into several important grid topics and also describes work done to advance the science of Grid Architecture as well.

  6. NREL: Transmission Grid Integration - Grid Simulation

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

    ... at the Center for Advanced Power Systems on the Florida State University Campus in Tallahassee, Florida on November 5-6, 2015. NWTC Controllable Grid Interface This fact sheet ...

  7. Bus.py: A GridLAB-D Communication Interface for Smart Distribution Grid Simulations

    SciTech Connect (OSTI)

    Hansen, Timothy M.; Palmintier, Bryan; Suryanarayanan, Siddharth; Maciejewski, Anthony A.; Siegel, Howard Jay

    2015-07-03

    As more Smart Grid technologies (e.g., distributed photovoltaic, spatially distributed electric vehicle charging) are integrated into distribution grids, static distribution simulations are no longer sufficient for performing modeling and analysis. GridLAB-D is an agent-based distribution system simulation environment that allows fine-grained end-user models, including geospatial and network topology detail. A problem exists in that, without outside intervention, once the GridLAB-D simulation begins execution, it will run to completion without allowing the real-time interaction of Smart Grid controls, such as home energy management systems and aggregator control. We address this lack of runtime interaction by designing a flexible communication interface, Bus.py (pronounced bus-dot-pie), that uses Python to pass messages between one or more GridLAB-D instances and a Smart Grid simulator. This work describes the design and implementation of Bus.py, discusses its usefulness in terms of some Smart Grid scenarios, and provides an example of an aggregator-based residential demand response system interacting with GridLAB-D through Bus.py. The small scale example demonstrates the validity of the interface and shows that an aggregator using said interface is able to control residential loads in GridLAB-D during runtime to cause a reduction in the peak load on the distribution system in (a) peak reduction and (b) time-of-use pricing cases.

  8. Sunshine State Solar Grid Initiative (SUNGRIN)

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

    Sunshine State Solar Grid Initiative (SUNGRIN) Project Team: High-Penetration PV Modeling and Analysis * Examining a wide range of PV-grid integration scenarios * Six utility partners, with PV up to 100% penetration * Have modeled circuits with PV at: * Jacksonville Electric Authority (JEA), 15 MW, 100% penetration * Gainesville Regional Utilities (GRU), ~2MW, 30% penetration * NASA Kennedy Space Center (KSC), 900kW * To model circuits in Lakeland and Orlando in subsequent phases Project

  9. Sensitivity of summer ensembles of fledgling superparameterized U.S. mesoscale convective systems to cloud resolving model microphysics and grid configuration

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

    Elliott, Elizabeth J.; Yu, Sungduk; Kooperman, Gabriel J.; Morrison, Hugh; Wang, Minghuai; Pritchard, Michael S.

    2016-05-01

    The sensitivities of simulated mesoscale convective systems (MCSs) in the central U.S. to microphysics and grid configuration are evaluated here in a global climate model (GCM) that also permits global-scale feedbacks and variability. Since conventional GCMs do not simulate MCSs, studying their sensitivities in a global framework useful for climate change simulations has not previously been possible. To date, MCS sensitivity experiments have relied on controlled cloud resolving model (CRM) studies with limited domains, which avoid internal variability and neglect feedbacks between local convection and larger-scale dynamics. However, recent work with superparameterized (SP) GCMs has shown that eastward propagating MCS-likemore » events are captured when embedded CRMs replace convective parameterizations. This study uses a SP version of the Community Atmosphere Model version 5 (SP-CAM5) to evaluate MCS sensitivities, applying an objective empirical orthogonal function algorithm to identify MCS-like events, and harmonizing composite storms to account for seasonal and spatial heterogeneity. A five-summer control simulation is used to assess the magnitude of internal and interannual variability relative to 10 sensitivity experiments with varied CRM parameters, including ice fall speed, one-moment and two-moment microphysics, and grid spacing. MCS sensitivities were found to be subtle with respect to internal variability, and indicate that ensembles of over 100 storms may be necessary to detect robust differences in SP-GCMs. Furthermore, these results emphasize that the properties of MCSs can vary widely across individual events, and improving their representation in global simulations with significant internal variability may require comparison to long (multidecadal) time series of observed events rather than single season field campaigns.« less

  10. A staggered-grid finite-difference scheme optimized in the timespace domain for modeling scalar-wave propagation in geophysical problems

    SciTech Connect (OSTI)

    Tan, Sirui; Huang, Lianjie

    2014-11-01

    For modeling scalar-wave propagation in geophysical problems using finite-difference schemes, optimizing the coefficients of the finite-difference operators can reduce numerical dispersion. Most optimized finite-difference schemes for modeling seismic-wave propagation suppress only spatial but not temporal dispersion errors. We develop a novel optimized finite-difference scheme for numerical scalar-wave modeling to control dispersion errors not only in space but also in time. Our optimized scheme is based on a new stencil that contains a few more grid points than the standard stencil. We design an objective function for minimizing relative errors of phase velocities of waves propagating in all directions within a given range of wavenumbers. Dispersion analysis and numerical examples demonstrate that our optimized finite-difference scheme is computationally up to 2.5 times faster than the optimized schemes using the standard stencil to achieve the similar modeling accuracy for a given 2D or 3D problem. Compared with the high-order finite-difference scheme using the same new stencil, our optimized scheme reduces 50 percent of the computational cost to achieve the similar modeling accuracy. This new optimized finite-difference scheme is particularly useful for large-scale 3D scalar-wave modeling and inversion.

  11. Overview of Gridscale Rampable Intermittent Dispatchable Storage (GRIDS) Program

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

    Gridscale Rampable Intermittent Dispatchable Storage (GRIDS) Program Mark Johnson, Program Director Advanced Research Projects Agency - Energy March 7, 2012 Venture Capital and Small Businesses Private Equity/Capital & Large Corporations Government Procurement Applied Energy Offices Office of Science ARPA-E Transition Path Transition Path Energy Innovation Pipeline Basic Science Deployment Technology Maturity Advanced Research Projects Agency * Energy 2 Evolutionary and Transformational

  12. Grid Modernization | NREL

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

    Photo of two researchers pointing to a three-dimensional display depicting the interaction of renewable energy resources on the grid NREL conducts high-impact research and development of technologies and strategies to modernize the nation's electrical infrastructure, making it more flexible, resilient, and sustainable. The 21st century needs a 21st-century grid. As part of the U.S. Department of Energy's Grid Modernization Initiative, NREL researchers work with industry, government, and academia

  13. Grid Technologies | GE Global Research

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

    Grid Modernization Initiative Grid Modernization Initiative Through the Grid Modernization Multi-Year Program Plan, the U.S. Department of Energy will coordinate a portfolio of activities to advance the grid. Photo courtesy of Berkeley Lab. Through the Grid Modernization Multi-Year Program Plan, the U.S. Department of Energy will coordinate a portfolio of activities to advance the grid. Photo courtesy of Berkeley Lab. What We Do The Grid Modernization Initiative (GMI) works across the U.S.

  14. Adaptive Energy Grid

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

    Control of a Flexible, Adaptive Energy Grid "%"&%'&"&()*+%,-.-"(&*"0.-"+.-1&.,2-"+2&01&"%"&3.-,.-"+%.4&"&5.67822& 9"-+%&3.(,"14&:.-&+82&;%+2&+"+2'&<2,"-+(2+&.:&2-...

  15. Sharing Smart Grid Experiences

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

    ... base around the various aspects of the Smart Grid transition and considers the unique ... Response, interruptible rates, net metering, "de- coupling", etc. * Consumer ...

  16. Sandia Energy - Grid Integration

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

    of Sandia's larger portfolio of renewable energy technology programs (Wind, Solar Power, Geothermal, and Energy Systems Analysis). Transmission Grid Integration The goal of...

  17. Building the Distribution Grid

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

    2013 * Industry leader in renewable energy procurement, electric transportation, demand response, energy efficiency and Smart Grid * Significant system investments 2014 - 2017 ...

  18. Cloud feedback studies with a physics grid

    SciTech Connect (OSTI)

    Dipankar, Anurag; Stevens, Bjorn

    2013-02-07

    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.

  19. Quantifying the Impact of Adverse Events on the Electricity Grid as a Function of Grid Topology

    SciTech Connect (OSTI)

    Coles, Garill A.; Sadovsky, Artyom; Du, Pengwei

    2011-11-30

    Abstract--Traditional approaches to the study of grid vulnerability have taken an asset based approach, which seeks to identify those assets most likely to result in grid-wide failures or disruptions in the event that they are compromised. We propose an alternative approach to the study of grid vulnerability, one based on the topological structure of the entire grid. We propose a method that will identify topological parameters most closely related to the ability of the grid to withstand an adverse event. We compare these topological parameters in terms of their impact on the vulnerability metric we have defined, referred to as the grid’s “survivability”. Our approach is motivated by Paul Baran’s work on communications networks, which also studied vulnerability in terms of network-wide parameters. Our approach is useful both as a planning model for evaluating proposed changes to a grid and as a risk assessment tool.

  20. Use of fine gridding in full field simulation

    SciTech Connect (OSTI)

    Greaser, G.R.; Doerr, T.C.; Chea, C.; Parvez, N.

    1995-10-01

    A full field 3D simulation study was completed for a large Saudi Arabian oilfield located in the Arabian Gulf. The subject field produced from a highly layered Arab D carbonate reservoir which exhibited a strong water drive. The objective of the study was to determine future platform locations and timing with respect to water encroachment. The large areal extent (13{times}23 km) and highly layered nature of this reservoir necessitated use of coarse grids in order to obtain a reasonable model size. The coarse grid model was constructed with 86,000 grid cells. Using the coarse model, prediction studies showed an advantage to future platform development with horizontal wells. However, these results were suspect since it was thought that the coarse cell model may not properly model water coning and encroachment around the horizontal wellbores. To improve the modeling of water movement, fine grid numerical simulation techniques were investigated. This paper discusses the use of sector and local grid refinement modeling techniques with commercially available software. Fine grid simulation studies were conducted for a proposed new platform. The fine grid simulation studies showed significantly different results compared with the coarse model predictions. The fine grid simulation results will be discussed, the two fine grid simulation techniques will be compared, and reasons presented why performance differences exist. Performance of the fine grid models on an Unix RISC based workstation is included.

  1. Security for grids

    SciTech Connect (OSTI)

    Humphrey, Marty; Thompson, Mary R.; Jackson, Keith R.

    2005-08-14

    Securing a Grid environment presents a distinctive set of challenges. This paper groups the activities that need to be secured into four categories: naming and authentication; secure communication; trust, policy, and authorization; and enforcement of access control. It examines the current state of the art in securing these processes and introduces new technologies that promise to meet the security requirements of Grids more completely.

  2. Smart Grid: Transforming the Electric System

    SciTech Connect (OSTI)

    Widergren, Steven E.

    2010-04-13

    This paper introduces smart grid concepts, summarizes the status of current smart grid related efforts, and explains smart grid priorities.

  3. Buildings-to-Grid Technical Opportunities: From the Grid Perspective |

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

    Department of Energy Grid Perspective Buildings-to-Grid Technical Opportunities: From the Grid Perspective To successfully operate and deliver its promise of a seamlessly integrated buildings-grid infrastructure, a transactive energy ecosystem requires new approaches to planning and operating the power grid. This report outlines the nature of the power grid, lists challenges and barriers to the implementation of a transactive energy ecosystem, and provides concept solutions to current

  4. GAD (Smart Grid Project) | Open Energy Information

    Open Energy Info (EERE)

    Projects in Europe Smart Grid Projects - Smart Meter and AMI Smart Grid Projects - Integrated System Smart Grid Projects - Home application Smart Grid Projects - Customer Behavior...

  5. OpenEI Community - Smart Grid

    Open Energy Info (EERE)

    p> http:en.openei.orgcommunityblogwhat-do-you-know-about-gridcomments black out brown out bulk power system electricity grid future grid grid history security Smart Grid...

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

    Office of Environmental Management (EM)

    Smart Grid Consortium, Response of New York State Smart Grid Addressing Policy and Logistical Challenges It represents a unique public-private partnership of largely New York State ...

  7. NREL: Distributed Grid Integration - Solar Distributed Grid Integratio...

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

    (IEA PVPS) Task 11 - PV hybrid and mini-grids Support IEA PVPS Task 14 - high ... Utility District, Anatolia Project Southern California Edison Hawaii Smart Grid projects. ...

  8. Smart Grid Week: Working to Modernize the Nation's Electric Grid...

    Energy Savers [EERE]

    ... make informed decisions about their energy consumption. ... on efforts to transform the nation's electricity grid? ... grid from generation to end use allowing users to see ...

  9. EcoGrid EU (Smart Grid Project) | Open Energy Information

    Open Energy Info (EERE)

    EU (Smart Grid Project) Jump to: navigation, search Project Name EcoGrid EU Country Denmark Headquarters Location Bornholm, Denmark Coordinates 55.160427, 14.866884 Loading...

  10. Open Science Grid at NERSC

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

    Open Science Grid Open Science Grid at NERSC NERSC provides computing to Open Science Grid (OSG) users through a special allocation. OSG Users must submit an OSG new user request ...

  11. Predictive Capability Maturity Model for computational modeling...

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, ...

  12. Interoperable PKI Data Distribution in Computational Grids

    SciTech Connect (OSTI)

    Pala, Massimiliano; Cholia, Shreyas; Rea, Scott A.; Smith, Sean W.

    2008-07-25

    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).

  13. Grid Net | Open Energy Information

    Open Energy Info (EERE)

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

  14. Smart Grid e-Forum

    Broader source: Energy.gov [DOE]

    DOE conducted a series of Smart Grid E-Forums to discuss various issues surrounding Smart Grid including costs, benefits, value proposition to consumers, implementation, and deployment.

  15. Environmental Impacts of Smart Grid

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

    ... 24 4.7 Renewable Energy and Distributed Storage ......Grid is an automated electric power system that monitors and controls grid ...

  16. Midwest Energy Inc. Smart Grid Project | Open Energy Information

    Open Energy Info (EERE)

    allows Midwest to improve power system models and analysis tools, increasing reliability of grid operations.3 Equipment 9 Relay-based Phasor Measurement Units...

  17. Finite Volume schemes on unstructured grids for non-local models: Application to the simulation of heat transport in plasmas

    SciTech Connect (OSTI)

    Goudon, Thierry; Labo. J.A. Dieudonne CNRS and Univ. Nice-Sophia Antipolis , Parc Valrose, 06108 Nice cedex 02 ; Parisot, Martin

    2012-10-15

    In the so-called Spitzer-Haerm regime, equations of plasma physics reduce to a nonlinear parabolic equation for the electronic temperature. Coming back to the derivation of this limiting equation through hydrodynamic regime arguments, one is led to construct a hierarchy of models where the heat fluxes are defined through a non-local relation which can be reinterpreted as well by introducing coupled diffusion equations. We address the question of designing numerical methods to simulate these equations. The basic requirement for the scheme is to be asymptotically consistent with the Spitzer-Haerm regime. Furthermore, the constraints of physically realistic simulations make the use of unstructured meshes unavoidable. We develop a Finite Volume scheme, based on Vertex-Based discretization, which reaches these objectives. We discuss on numerical grounds the efficiency of the method, and the ability of the generalized models in capturing relevant phenomena missed by the asymptotic problem.

  18. Transmission Grid Integration

    Office of Energy Efficiency and Renewable Energy (EERE)

    The levels of solar energy penetration envisioned by the DOE SunShot Initiative must be interconnected effectively onto the transmission grid. This interconnection requires an in-depth...

  19. Smart Grid Overview

    Broader source: Energy.gov [DOE]

    Presentation—given at at the Fall 2012 Federal Utility Partnership Working Group (FUPWG) meeting—discusses the Smart Grid including the National Renewable Energy Laboratory's research and development capabilities in this area.

  20. Grid Data Transfer

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

    2. uberftp UberFTP provides a rich interactive client for GridFTP. It mimics standard ftp clients in behavior, along with providing some additional features. To initialize your...

  1. IEEE Smart Grid Series of Standards IEEE 2030 (Interoperability) and IEEE 1547 (Interconnection) Status: Preprint

    SciTech Connect (OSTI)

    Basso, T.; DeBlasio, R.

    2012-04-01

    The IEEE American National Standards smart grid publications and standards development projects IEEE 2030, which addresses smart grid interoperability, and IEEE 1547TM, which addresses distributed resources interconnection with the grid, have made substantial progress since 2009. The IEEE 2030TM and 1547 standards series focus on systems-level aspects and cover many of the technical integration issues involved in a mature smart grid. The status and highlights of these two IEEE series of standards, which are sponsored by IEEE Standards Coordinating Committee 21 (SCC21), are provided in this paper.

  2. National transmission grid study

    SciTech Connect (OSTI)

    Abraham, Spencer

    2003-05-31

    The National Energy Policy Plan directed the U.S. Department of Energy (DOE) to conduct a study to examine the benefits of establishing a national electricity transmission grid and to identify transmission bottlenecks and measures to address them. DOE began by conducting an independent analysis of U.S. electricity markets and identifying transmission system bottlenecks using DOE’s Policy Office Electricity Modeling System (POEMS). DOE’s analysis, presented in Section 2, confirms the central role of the nation’s transmission system in lowering costs to consumers through increased trade. More importantly, DOE’s analysis also confirms the results of previous studies, which show that transmission bottlenecks and related transmission system market practices are adding hundreds of millions of dollars to consumers’ electricity bills each year. A more detailed technical overview of the use of POEMS is provided in Appendix A. DOE led an extensive, open, public input process and heard a wide range of comments and recommendations that have all been considered.1 More than 150 participants registered for three public workshops held in Detroit, MI (September 24, 2001); Atlanta, GA (September 26, 2001); and Phoenix, AZ (September 28, 2001).

  3. Demonstration project Smart Charging (Smart Grid Project) | Open...

    Open Energy Info (EERE)

    Smart Grid Projects Smart Grid Projects in Europe Smart Grid Projects - Grid Automation Distribution Smart Grid Projects - Integrated System Smart Grid Projects - Home...

  4. EMPORA 1 + 2 EMobile Power Austria (Smart Grid Project) | Open...

    Open Energy Info (EERE)

    Smart Grid Projects Smart Grid Projects in Europe Smart Grid Projects - Grid Automation Distribution Smart Grid Projects - Integrated System Smart Grid Projects - Specific...

  5. Belgium east loop active network management (Smart Grid Project...

    Open Energy Info (EERE)

    Cancel Submit Categories: Smart Grid Projects Smart Grid Projects in Europe Smart Grid Projects - Grid Automation Distribution Smart Grid Projects - Grid Automation Transmission...

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

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

    The Oil and Natural Gas Subsector Cybersecurity Capability Maturity Model (ONG-C2M2) is a ... Oil and Natural Gas Subsector C2M2 v1.1 (February 2014) (1.82 MB) More Documents & ...

  7. Random array grid collimator

    DOE Patents [OSTI]

    Fenimore, E.E.

    1980-08-22

    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.

  8. GridPV

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

    6733 Unlimited Release Printed August 2013 Grid Integrated Distributed PV (GridPV) Matthew J. Reno, Kyle Coogan Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE -AC04-94AL85000. Approved for

  9. GridPV

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

    141 Unlimited Release Printed November 2014 Grid Integrated Distributed PV (GridPV) Version 2 Matthew J. Reno, Kyle Coogan Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

  10. Sharing Smart Grid Experiences

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

    Sharing Smart Grid Experiences through Performance Feedback March 31, 2011 DOE/NETL- DE-FE0004001 U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Prepared by: National Energy Technology Laboratory Sharing Smart Grid Experiences through Performance Feedback v1.0 Page ii Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their

  11. Simulation of annual biogeochemical cycles of nutrient balance, phytoplankton bloom(s), and DO in Puget Sound using an unstructured grid model

    SciTech Connect (OSTI)

    Khangaonkar, Tarang; Sackmann, Brandon S.; Long, Wen; Mohamedali, Teizeen; Roberts, Mindy

    2012-08-14

    Nutrient pollution from rivers, nonpoint source runoff, and nearly 100 wastewater discharges is a potential threat to the ecological health of Puget Sound with evidence of hypoxia in some basins. However, the relative contributions of loads entering Puget Sound from natural and anthropogenic sources, and the effects of exchange flow from the Pacific Ocean are not well understood. Development of a quantitative model of Puget Sound is thus presented to help improve our understanding of the annual biogeochemical cycles in this system using the unstructured grid Finite Volume Coastal Ocean Model (FVCOM) framework and the Integrated Compartment Model (CE QUAL-ICM) water quality kinetics. Results based on 2006 data show that phytoplankton growth and die-off, succession between two species of algae, nutrient dynamics, and dissolved oxygen in Puget Sound are strongly tied to seasonal variation of temperature, solar radiation, and the annual exchange and flushing induced by upwelled Pacific Ocean waters. Concentrations in the mixed outflow surface layer occupying approximately 5?20 m of the upper water column show strong effects of eutrophication from natural and anthropogenic sources, spring and summer algae blooms, accompanied by depleted nutrients but high dissolved oxygen levels. The bottom layer reflects dissolved oxygen and nutrient concentrations of upwelled Pacific Ocean water modulated by mixing with biologically active surface outflow in the Strait of Juan De Fuca prior to entering Puget Sound over the Admiralty Inlet. The effect of reflux mixing at the Admiralty Inlet sill resulting in lower nutrient and higher dissolved oxygen levels in bottom waters of Puget Sound than the incoming upwelled Pacific Ocean water is reproduced. By late winter, with the reduction in algal activity, water column constituents of interest, were renewed and the system appeared to reset with cooler temperature, higher nutrient, and higher dissolved oxygen waters from the Pacific Ocean.

  12. GRIDS: Grid-Scale Rampable Intermittent Dispatchable Storage

    SciTech Connect (OSTI)

    2010-09-01

    GRIDS Project: The 12 projects that comprise ARPA-Es 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.

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

    SciTech Connect (OSTI)

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

    2014-06-23

    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.

  14. 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

    2014-01-01

    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

  15. grid history | OpenEI Community

    Open Energy Info (EERE)

    Dc(266) Contributor 31 October, 2014 - 10:58 What do you know about the grid? black out brown out bulk power system electricity grid future grid grid history security Smart Grid...

  16. electricity grid | OpenEI Community

    Open Energy Info (EERE)

    Dc(266) Contributor 31 October, 2014 - 10:58 What do you know about the grid? black out brown out bulk power system electricity grid future grid grid history security Smart Grid...

  17. future grid | OpenEI Community

    Open Energy Info (EERE)

    Dc(266) Contributor 31 October, 2014 - 10:58 What do you know about the grid? black out brown out bulk power system electricity grid future grid grid history security Smart Grid...

  18. Smart Grid | OpenEI Community

    Open Energy Info (EERE)

    Dc(266) Contributor 31 October, 2014 - 10:58 What do you know about the grid? black out brown out bulk power system electricity grid future grid grid history security Smart Grid...

  19. GridLAB-D/SG

    Energy Science and Technology Software Center (OSTI)

    2011-08-30

    GridLAB-D is a new power system simulation tool that provides valuable information to users who design and operate electric power transmission and distribution systems, and to utilities that wish to take advantage of the latest smart grid technology. This special release of GridLAB-D was developed to study the proposed Smart Grid technology that is used by Battelle Memorial Institute in the AEP gridSMART demonstration project in Northeast Columbus, Ohio.

  20. Cybersecurity and the Smarter Grid

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

    Cybersecurity and the Smarter Grid Reliability remains a fundamental principle of grid modernization efforts, but in today's world, reliability requires cybersecurity. This article discusses energy sector partnerships that are designing cybersecurity into the smart grid with the vision of surviving a cyber-incident while sustaining critical energy delivery functions. Carol Hawk and Akhlesh Kaushiva I. The Power Grid: Beyond Smart The power grid is already smart, if ''smart'' can describe an

  1. Grid Integration | Department of Energy

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

    Research & Development » Grid Integration Grid Integration Grid Integration The Wind Program works with electric grid operators, utilities, regulators, and industry to create new strategies for incorporating increasing amounts of wind energy into the power system while maintaining economic and reliable operation of the grid. Utilities have been increasingly deploying wind power to provide larger portions of electricity generation. However, many utilities also express concerns about wind

  2. 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

    2013-01-09

    This paper describes the architecture and design of GridOPTICSTM, a novel software framework to integrate a collection of software tools developed by PNNLs 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 PNNLs FPGI.

  3. Real Time Simulation of Power Grid Disruptions

    SciTech Connect (OSTI)

    Chinthavali, Supriya; Dimitrovski, Aleksandar D; Fernandez, Steven J; Groer, Christopher S; Nutaro, James J; Olama, Mohammed M; Omitaomu, Olufemi A; Shankar, Mallikarjun; Spafford, Kyle L; Vacaliuc, Bogdan

    2012-11-01

    DOE-OE and DOE-SC workshops (Reference 1-3) identified the key power grid problem that requires insight addressable by the next generation of exascale computing is coupling of real-time data streams (1-2 TB per hour) as the streams are ingested to dynamic models. These models would then identify predicted disruptions in time (2-4 seconds) to trigger the smart grid s self healing functions. This project attempted to establish the feasibility of this approach and defined the scientific issues, and demonstrated example solutions to important smart grid simulation problems. These objectives were accomplished by 1) using the existing frequency recorders on the national grid to establish a representative and scalable real-time data stream; 2) invoking ORNL signature identification algorithms; 3) modeling dynamically a representative region of the Eastern interconnect using an institutional cluster, measuring the scalability and computational benchmarks for a national capability; and 4) constructing a prototype simulation for the system s concept of smart grid deployment. The delivered ORNL enduring capability included: 1) data processing and simulation metrics to design a national capability justifying exascale applications; 2) Software and intellectual property built around the example solutions; 3) demonstrated dynamic models to design few second self-healing.

  4. GridPACK Toolkit for Developing Power Grid Simulations on High Performance Computing Platforms

    SciTech Connect (OSTI)

    Palmer, Bruce J.; Perkins, William A.; Glass, Kevin A.; Chen, Yousu; Jin, Shuangshuang; Callahan, Charles D.

    2013-11-30

    This paper describes the GridPACK framework, which is designed to help power grid engineers develop modeling software capable of running on todays high performance computers. The framework contains modules for setting up distributed power grid networks, assigning buses and branches with arbitrary behaviors to the network, creating distributed matrices and vectors, using parallel linear and non-linear solvers to solve algebraic equations, and mapping functionality to create matrices and vectors based on properties of the network. In addition, the framework contains additional functionality to support IO and to manage errors.

  5. Clean Energy Manufacturing Resources - Technology Maturation | Department

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

    of Energy Maturation Clean Energy Manufacturing Resources - Technology Maturation Clean Energy Manufacturing Resources - Technology Maturation Find resources to help you commercialize and market your clean energy technology or product. For technology maturation, areas to consider include regulations and standards; exporting; product testing or demonstration; energy-efficient product qualifications; and energy efficiency and performance improvements for plants. For more resources, see the

  6. Duke Energy and Alstom Grid | Energy Systems Integration | NREL

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

    Duke Energy and Alstom Grid NREL is working with Duke Energy and Alstom Grid to explore ways that smart inverters can increase grid stability. Using data from Duke Energy, NREL is validating the voltage control capabilities of smart inverters in modeled, real-world scenarios. Photo of two men standing in front of a multicolored 3-D projection screen Photo by Dennis Schroeder Adding renewable energy sources such as solar to a utility's existing distribution systems can introduce much faster power

  7. NREL: Distributed Grid Integration - Vehicle-to-Grid Project

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

    NREL engineers test and analyze electrical vehicle charging and discharging to the electric grid, known as Vehicle-to-Grid (V2G). Testing is conducted at NREL's Distributed Energy ...

  8. APEC Smart Grid Initiative

    SciTech Connect (OSTI)

    Bloyd, Cary N.

    2012-03-01

    This brief paper describes the activities of the Asia Pacific Economic Cooperation (APEC) Smart Grid Initiative (ASGI) which is being led by the U.S. and developed by the APEC Energy Working Group. In the paper, I describe the origin of the initiative and briefly mention the four major elements of the initiative along with existing APEC projects which support it.

  9. NSTAR Smart Grid Pilot

    SciTech Connect (OSTI)

    Rabari, Anil; Fadipe, Oloruntomi

    2014-03-31

    NSTAR Electric & Gas Corporation (“the Company”, or “NSTAR”) developed and implemented a Smart Grid pilot program beginning in 2010 to demonstrate the viability of leveraging existing automated meter reading (“AMR”) deployments to provide much of the Smart Grid functionality of advanced metering infrastructure (“AMI”), but without the large capital investment that AMI rollouts typically entail. In particular, a central objective of the Smart Energy Pilot was to enable residential dynamic pricing (time-of-use “TOU” and critical peak rates and rebates) and two-way direct load control (“DLC”) by continually capturing AMR meter data transmissions and communicating through customer-sited broadband connections in conjunction with a standardsbased home area network (“HAN”). The pilot was supported by the U.S. Department of Energy’s (“DOE”) through the Smart Grid Demonstration program. NSTAR was very pleased to not only receive the funding support from DOE, but the guidance and support of the DOE throughout the pilot. NSTAR is also pleased to report to the DOE that it was able to execute and deliver a successful pilot on time and on budget. NSTAR looks for future opportunities to work with the DOE and others in future smart grid projects.

  10. Unlocking the smart grid

    SciTech Connect (OSTI)

    Rokach, Joshua Z.

    2010-10-15

    The country has progressed in a relatively short time from rotary dial phones to computers, cell phones, and iPads. With proper planning and orderly policy implementation, the same will happen with the Smart Grid. Here are some suggestions on how to proceed. (author)