Sample records for gridded wind parameters

  1. New Report Characterizes Existing Offshore Wind Grid Interconnection...

    Office of Environmental Management (EM)

    New Report Characterizes Existing Offshore Wind Grid Interconnection Capabilities New Report Characterizes Existing Offshore Wind Grid Interconnection Capabilities September 3,...

  2. Chaninik Wind Group Wind Heat Smart Grids Final Report

    SciTech Connect (OSTI)

    Meiners, Dennis [Technical Contact

    2013-06-29T23:59:59.000Z

    Final report summarizes technology used, system design and outcomes for US DoE Tribal Energy Program award to deploy Wind Heat Smart Grids in the Chaninik Wind Group communities in southwest Alaska.

  3. REAP Islanded Grid Wind Power Conference

    Broader source: Energy.gov [DOE]

    Hosted by Renewable Energy Alaska Project, this three-day conference will show attendees how to learn, network, and share information on wind systems in island and islanded grid environments through expert panel discussions, stakeholder dialogue, and training.

  4. National Offshore Wind Energy Grid Interconnection Study

    SciTech Connect (OSTI)

    Daniel, John P. [ABB Inc; Liu, Shu [ABB Inc; Ibanez, Eduardo [National Renewable Energy Laboratory; Pennock, Ken [AWS Truepower; Reed, Greg [University of Pittsburgh; Hanes, Spencer [Duke Energy

    2014-07-30T23:59:59.000Z

    The National Offshore Wind Energy Grid Interconnection Study (NOWEGIS) considers the availability and potential impacts of interconnecting large amounts of offshore wind energy into the transmission system of the lower 48 contiguous United States. A total of 54GW of offshore wind was assumed to be the target for the analyses conducted. A variety of issues are considered including: the anticipated staging of offshore wind; the offshore wind resource availability; offshore wind energy power production profiles; offshore wind variability; present and potential technologies for collection and delivery of offshore wind energy to the onshore grid; potential impacts to existing utility systems most likely to receive large amounts of offshore wind; and regulatory influences on offshore wind development. The technologies considered the reliability of various high-voltage ac (HVAC) and high-voltage dc (HVDC) technology options and configurations. The utility system impacts of GW-scale integration of offshore wind are considered from an operational steady-state perspective and from a regional and national production cost perspective.

  5. Expedited Permitting of Grid-Scale Wind Energy Development (Maine)

    Broader source: Energy.gov [DOE]

    Maine's Expedited Permitting of Grid-Scale Wind Energy Development statue provides an expedited permitting pathway for proposed wind developments in certain designated locations, known as expedited...

  6. NREL: Transmission Grid Integration - Wind Integration Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy PhaseWind

  7. Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior

    E-Print Network [OSTI]

    Hiskens, Ian A.

    1 Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior Jonathan variable-speed wind turbines in grid stability studies. Often the values for model parameters are poorly parameters on the dynamic behavior of wind turbine generators. A parameter estimation process is then used

  8. Voltage grid support of DFIG wind turbines during grid faults Anca D. Hansen1

    E-Print Network [OSTI]

    Voltage grid support of DFIG wind turbines during grid faults Anca D. Hansen1 , Gabriele Michalke2 Abstract The fault ride-through and grid support capabilities of the doubly fed induction generator (DFIG and their contribution to support the grid, i.e. to the voltage control in the power system, during grid faults

  9. Switching transients in wind farm grids Poul Srensen1)

    E-Print Network [OSTI]

    power collection grid of Nysted offshore wind farm. A number of switching events have been performed of large offshore wind farms have been developed, and there are significant plans for further offshore wind larger wind power installations such as offshore wind farms has increased the focus from TSO's on how

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

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

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

  11. Wind Turbine Pitch Angle Controllers for Grid Frequency Stabilisation

    E-Print Network [OSTI]

    Wind Turbine Pitch Angle Controllers for Grid Frequency Stabilisation Clemens Jauch Risø National Laboratory Wind Energy Department P.O. Box 49 DK-4000 Roskilde, Denmark clemens.jauch@risoe.dk Abstract: In this paper it is investigated how active-stall wind turbines can contribute to the stabilisation of the power

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

    SciTech Connect (OSTI)

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

    2009-01-01T23:59:59.000Z

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

  13. Sandia Energy - Grid System Planning for Wind: Wind Generator Modeling

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatingsUltra-High-Voltage SiliconEnergyFailureGlobal ClimateGridGridGrid

  14. First U.S. Grid-Connected Offshore Wind Turbine Installed Off...

    Office of Environmental Management (EM)

    First U.S. Grid-Connected Offshore Wind Turbine Installed Off the Coast of Maine First U.S. Grid-Connected Offshore Wind Turbine Installed Off the Coast of Maine October 1, 2013 -...

  15. National Wind Technology Center Controllable Grid Interface

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy:Nanowire Solar EnergyKambaraorRENEWABLE MobileResourcesVahan

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photo ofResearchFAST Revs Up

  17. Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid

    E-Print Network [OSTI]

    Hansen, René Rydhof

    Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid Fault to the grid connection of wind turbines. The second chapter elucidates recent thinking in the area of grid Risø National Laboratory Vestas Wind Systems A/S #12;#12;I Modelling and Analysis of Variable Speed

  18. GRID-BASED EXPLORATION OF COSMOLOGICAL PARAMETER SPACE WITH SNAKE

    SciTech Connect (OSTI)

    Mikkelsen, K.; Næss, S. K.; Eriksen, H. K., E-mail: kristin.mikkelsen@astro.uio.no [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029, Blindern, NO-0315 Oslo (Norway)

    2013-11-10T23:59:59.000Z

    We present a fully parallelized grid-based parameter estimation algorithm for investigating multidimensional likelihoods called Snake, and apply it to cosmological parameter estimation. The basic idea is to map out the likelihood grid-cell by grid-cell according to decreasing likelihood, and stop when a certain threshold has been reached. This approach improves vastly on the 'curse of dimensionality' problem plaguing standard grid-based parameter estimation simply by disregarding grid cells with negligible likelihood. The main advantages of this method compared to standard Metropolis-Hastings Markov Chain Monte Carlo methods include (1) trivial extraction of arbitrary conditional distributions; (2) direct access to Bayesian evidences; (3) better sampling of the tails of the distribution; and (4) nearly perfect parallelization scaling. The main disadvantage is, as in the case of brute-force grid-based evaluation, a dependency on the number of parameters, N{sub par}. One of the main goals of the present paper is to determine how large N{sub par} can be, while still maintaining reasonable computational efficiency; we find that N{sub par} = 12 is well within the capabilities of the method. The performance of the code is tested by comparing cosmological parameters estimated using Snake and the WMAP-7 data with those obtained using CosmoMC, the current standard code in the field. We find fully consistent results, with similar computational expenses, but shorter wall time due to the perfect parallelization scheme.

  19. Grid-based exploration of cosmological parameter space with Snake

    E-Print Network [OSTI]

    Mikkelsen, K; Eriksen, H K

    2012-01-01T23:59:59.000Z

    We present a fully parallelized grid-based parameter estimation algorithm for investigating multidimensional likelihoods called Snake, and apply it to cosmological parameter estimation. The basic idea is to map out the likelihood grid-cell by grid-cell according to decreasing likelihood, and stop when a certain threshold has been reached. This approach improves vastly on the "curse of dimensionality" problem plaguing standard grid-based parameter estimation simply by disregarding grid-cells with negligible likelihood. The main advantages of this method compared to standard Metropolis-Hastings MCMC methods include 1) trivial extraction of arbitrary conditional distributions; 2) direct access to Bayesian evidences; 3) better sampling of the tails of the distribution; and 4) nearly perfect parallelization scaling. The main disadvantage is, as in the case of brute-force grid-based evaluation, a dependency on the number of parameters, N_par. One of the main goals of the present paper is to determine how large N_pa...

  20. Grid-scale Fluctuations and Forecast Error in Wind Power

    E-Print Network [OSTI]

    G. Bel; C. P. Connaughton; M. Toots; M. M. Bandi

    2015-03-29T23:59:59.000Z

    The fluctuations in wind power entering an electrical grid (Irish grid) were analyzed and found to exhibit correlated fluctuations with a self-similar structure, a signature of large-scale correlations in atmospheric turbulence. The statistical structure of temporal correlations for fluctuations in generated and forecast time series was used to quantify two types of forecast error: a timescale error ($e_{\\tau}$) that quantifies the deviations between the high frequency components of the forecast and the generated time series, and a scaling error ($e_{\\zeta}$) that quantifies the degree to which the models fail to predict temporal correlations in the fluctuations of the generated power. With no $a$ $priori$ knowledge of the forecast models, we suggest a simple memory kernel that reduces both the timescale error ($e_{\\tau}$) and the scaling error ($e_{\\zeta}$).

  1. Grid-scale Fluctuations and Forecast Error in Wind Power

    E-Print Network [OSTI]

    Bel, G; Toots, M; Bandi, M M

    2015-01-01T23:59:59.000Z

    The fluctuations in wind power entering an electrical grid (Irish grid) were analyzed and found to exhibit correlated fluctuations with a self-similar structure, a signature of large-scale correlations in atmospheric turbulence. The statistical structure of temporal correlations for fluctuations in generated and forecast time series was used to quantify two types of forecast error: a timescale error ($e_{\\tau}$) that quantifies the deviations between the high frequency components of the forecast and the generated time series, and a scaling error ($e_{\\zeta}$) that quantifies the degree to which the models fail to predict temporal correlations in the fluctuations of the generated power. With no $a$ $priori$ knowledge of the forecast models, we suggest a simple memory kernel that reduces both the timescale error ($e_{\\tau}$) and the scaling error ($e_{\\zeta}$).

  2. Automatic selection of tuning parameters in wind power prediction

    E-Print Network [OSTI]

    Automatic selection of tuning parameters in wind power prediction Lasse Engbo Christiansen (lec Report number: IMM-Technical Report-2007-12 Project title: Intelligent wind power prediction systems PSO The wind power forecasting system developed at DTU - the Wind Power Prediction Tool (WPPT) - predicts

  3. Balancing act - BPA grid responds to huge influx of wind power...

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

    territory A large fraction of the wind power in the Northwest is locating in the heart of BPA's transmission grid. Wind power in BPA's balancing area has grown from 25 MW 10...

  4. Reactive power control of grid-connected wind farm based on adaptive dynamic programming

    E-Print Network [OSTI]

    He, Haibo

    Reactive power control of grid-connected wind farm based on adaptive dynamic programming Yufei Tang Wind farm Power system Adaptive control a b s t r a c t Optimal control of large-scale wind farm has of wind farm with doubly fed induction generators (DFIG). Specifically, we investigate the on

  5. MODULAR MULTI-LEVEL CONVERTER BASED HVDC SYSTEM FOR GRID CONNECTION OF OFFSHORE WIND

    E-Print Network [OSTI]

    Chaudhary, Sanjay

    MODULAR MULTI-LEVEL CONVERTER BASED HVDC SYSTEM FOR GRID CONNECTION OF OFFSHORE WIND POWER PLANT U off-shore wind power plants. The MMC consists of a large number of simple voltage sourced converter offshore wind power plants (WPP) because they offer higher energy yield due to a superior wind profile

  6. Performance Parameters for Grid-Connected PV Systems

    SciTech Connect (OSTI)

    Marion, B.; Adelstein, J.; Boyle, K.; Hayden, H.; Hammond, B.; Fletcher, T.; Canada, B.; Narang, D.; Shugar, D.; Wenger, H.; Kimber, A.; Mitchell, L.; Rich, G.; Townsend, T.

    2005-02-01T23:59:59.000Z

    The use of appropriate performance parameters facilitates the comparison of grid-connected photovoltaic (PV) systems that may differ with respect to design, technology, or geographic location. Four performance parameters that define the overall system performance with respect to the energy production, solar resource, and overall effect of system losses are the following: final PV system yield, reference yield, performance ratio, and PVUSA rating. These performance parameters are discussed for their suitability in providing desired information for PV system design and performance evaluation and are demonstrated for a variety of technologies, designs, and geographic locations. Also discussed are methodologies for determining system a.c. power ratings in the design phase using multipliers developed from measured performance parameters.The use of appropriate performance parameters facilitates the comparison of grid-connected photovoltaic (PV) systems that may differ with respect to design, technology, or geographic location. Four performance parameters that define the overall system performance with respect to the energy production, solar resource, and overall effect of system losses are the following: final PV system yield, reference yield, performance ratio, and PVUSA rating. These performance parameters are discussed for their suitability in providing desired information for PV system design and performance evaluation and are demonstrated for a variety of technologies, designs, and geographic locations. Also discussed are methodologies for determining system a.c. power ratings in the design phase using multipliers developed from measured performance parameters.

  7. Grid Impacts of Wind Power Variability: Recent Assessments from a Variety of Utilities in the United States (Presentation)

    SciTech Connect (OSTI)

    Parsons, B.

    2006-03-01T23:59:59.000Z

    Presentation for the European Wind Energy Conference held February 27--March 2, 2006, in Athens, Greece, showing grid impacts of wind power variability.

  8. Grid Simulator for Testing a Wind Turbine on Offshore Floating Platform

    SciTech Connect (OSTI)

    Gevorgian, V.

    2012-02-01T23:59:59.000Z

    An important aspect of such offshore testing of a wind turbine floating platform is electrical loading of the wind turbine generator. An option of interconnecting the floating wind turbine with the onshore grid via submarine power cable is limited by many factors such as costs and associated environmental aspects (i.e., an expensive and lengthy sea floor study is needed for cable routing, burial, etc). It appears to be a more cost effective solution to implement a standalone grid simulator on a floating platform itself for electrical loading of the test wind turbine. Such a grid simulator must create a stable fault-resilient voltage and frequency bus (a micro grid) for continuous operation of the test wind turbine. In this report, several electrical topologies for an offshore grid simulator were analyzed and modeled.

  9. Wind parameters extraction from aircraft trajectories C. Hurtera,

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Wind parameters extraction from aircraft trajectories C. Hurtera, , R. Alligiera,b , D. Gianazzaa traffic controllers need to know the current wind magnitude and direction since they impact every flying vessel. The wind may accel- erate or slow down an aircraft, depending on its relative direction

  10. Abstract--This paper focuses on reviewing grid connection of large offshore wind farms (OWFs) employing current state-of-

    E-Print Network [OSTI]

    Bak, Claus Leth

    1 Abstract--This paper focuses on reviewing grid connection of large offshore wind farms (OWFs Farms. I. INTRODUCTION owadays, offshore wind penetration into the electrical grid is rapidly increasing grid connection in e.g. the UK. Index Terms--HVDC transmission, Pulse width modulation converters, Wind

  11. Simulation of a flexible wind turbine response to a grid fault Anca D. Hansen*, Nicolaos A. Cutululis*, Poul Srensen*,

    E-Print Network [OSTI]

    Simulation of a flexible wind turbine response to a grid fault Anca D. Hansen*, Nicolaos A of a wind turbine. Grid faults generate transients in the generator electromagnetic torque, which are propagated in the wind turbine, stressing its mechanical components. Grid faults are normally simulated

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

    E-Print Network [OSTI]

    Gayme, Dennice

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

  13. Ris-R-Report Grid fault and design-basis for wind turbines -

    E-Print Network [OSTI]

    of the new grid connection requirements for the fatigue and ultimate structural loads of wind turbines analysis for fatigue and ultimate structural loads, respectively, have been performed and compared for two variable speed wind turbines to produce power at wind speeds higher than 25m/s and up to 50m/s without

  14. DFIG Driven Wind Turbine Grid Fault-Tolerance Using High-Order Sliding Mode Control

    E-Print Network [OSTI]

    Boyer, Edmond

    DFIG Driven Wind Turbine Grid Fault-Tolerance Using High-Order Sliding Mode Control Mohamed fault-tolerance of a doubly-fed induction generator- based wind turbine using high-order sliding mode mechanical stress on the drive train). Simulations using the NREL FAST code on a 1.5-MW wind turbine

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

    E-Print Network [OSTI]

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

  16. Grid Impacts of Wind Power Variability: Recent Assessments from a Variety of Utilities in the United States; Preprint

    SciTech Connect (OSTI)

    Parsons, B.; Milligan, M.; Smith, J. C.; DeMeo, E.; Oakleaf, B.; Wolf, K.; Schuerger, M.; Zavadil, R.; Ahlstrom, M.; Nakafuji, D. Y.

    2006-07-01T23:59:59.000Z

    Because of wind power's unique characteristics, many concerns are based on the increased variability that wind contributes to the grid, and most U.S. studies have focused on this aspect of wind generation. Grid operators are also concerned about the ability to predict wind generation over several time scales. In this report, we quantify the physical impacts and costs of wind generation on grid operations and the associated costs.

  17. Abstract--Wind power generation is growing rapidly. However, maintaining the wind turbine connection to grid is a real

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    by the year 2020 [2]. Wind turbines can operate either with a fixed speed or a variable speed. In the case and then as fluctuations in the electrical power on the grid. The variable-speed turbine operation offers several major acoustical [3]. Among variable speed constant-frequency wind turbines, the doubly fed induction generator

  18. Tutorial of Wind Turbine Control for Supporting Grid Frequency through Active Power Control: Preprint

    SciTech Connect (OSTI)

    Aho, J.; Buckspan, A.; Laks, J.; Fleming, P.; Jeong, Y.; Dunne, F.; Churchfield, M.; Pao, L.; Johnson, K.

    2012-03-01T23:59:59.000Z

    As wind energy becomes a larger portion of the world's energy portfolio and wind turbines become larger and more expensive, wind turbine control systems play an ever more prominent role in the design and deployment of wind turbines. The goals of traditional wind turbine control systems are maximizing energy production while protecting the wind turbine components. As more wind generation is installed there is an increasing interest in wind turbines actively controlling their power output in order to meet power setpoints and to participate in frequency regulation for the utility grid. This capability will be beneficial for grid operators, as it seems possible that wind turbines can be more effective at providing some of these services than traditional power plants. Furthermore, establishing an ancillary market for such regulation can be beneficial for wind plant owner/operators and manufacturers that provide such services. In this tutorial paper we provide an overview of basic wind turbine control systems and highlight recent industry trends and research in wind turbine control systems for grid integration and frequency stability.

  19. Wind Farm Structures' Impact on Harmonic Emission and Grid Interaction

    E-Print Network [OSTI]

    Bak, Claus Leth

    in this paper. The largest wind farms in the world, Horns Rev 2 Offshore Wind Farm and Polish Karnice Onshore (WTs) with full-scale converters used in large offshore wind farms (OWFs) is increasing into consideration, the largest in the world Horns Rev 2 Offshore Wind Farm and located in Poland Karnice Onshore

  20. First International Workshop on Grid Simulator Testing of Wind Turbine Drivetrains: Workshop Proceedings

    SciTech Connect (OSTI)

    Gevorgian, V.; Link, H.; McDade, M.; Mander, A.; Fox, J. C.; Rigas, N.

    2013-11-01T23:59:59.000Z

    This report summarizes the proceedings of the First International Workshop on Grid Simulator Testing of Wind Turbine Drivetrains, held from June 13 to 14, 2013, at the National Renewable Energy Laboratory's National Wind Technology Center, located south of Boulder, Colorado. The workshop was sponsored by the U.S. Department of Energy and cohosted by the National Renewable Energy Laboratory and Clemson University under ongoing collaboration via a cooperative research and development agreement. The purpose of the workshop was to provide a forum to discuss the research, testing needs, and state-of-the-art apparatuses involved in grid compliance testing of utility-scale wind turbine generators. This includes both dynamometer testing of wind turbine drivetrains ('ground testing') and field testing grid-connected wind turbines. Four sessions followed by discussions in which all attendees of the workshop were encouraged to participate comprised the workshop.

  1. Virtual Models for Prediction of Wind Turbine Parameters

    E-Print Network [OSTI]

    Andrew Kusiak

    Abstract—In this paper, a data-driven methodology for the development of virtual models of a wind turbine is presented. To demonstrate the proposed methodology, two parameters of the wind turbine have been selected for modeling, namely, power output and rotor speed. A virtual model for each of the two parameters is developed and tested with data collected at a wind farm. Both models consider controllable and noncontrollable parameters of the wind turbine, as well as the delay effect of wind speed and other parameters. To mitigate data bias of each virtual model and ensure its robustness, a training set is assembled from ten randomly selected turbines. The performance of a virtual model is largely determined by the input parameters selected and the data mining algorithms used to extract the model. Several data mining algorithms for parameter selection and model extraction are analyzed. The research presented in the paper is illustrated with computational results. Index Terms—Data mining, parameter selection, power prediction, virtual model, wind turbine. I.

  2. Final report: Task 4a.2 20% wind scenario assessment of electric grid operational features

    SciTech Connect (OSTI)

    Toole, Gasper L. [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    Wind integration modeling in electricity generation capacity expansion models is important in that these models are often used to inform political or managerial decisions. Poor representation of wind technology leads to under-estimation of wind's contribution to future energy scenarios which may hamper growth of the industry. The NREL's Wind Energy Deployment System (WinDS) model provides the most detailed representation of geographically disperse renewable resources and the optimization of transmission expansion to access these resources. Because WinDS was selected as the primary modeling tool for the 20% Wind Energy by 2030 study, it is the ideal tool for supplemental studies of the transmission expansion results. However, as the wind industry grows and knowledge related to the wind resource and integration of wind energy into the electric system develops, the WinDS model must be continually improved through additional data and innovative algorithms to capture the primary effects of variable wind generation. The detailed representation of wind technology in the WinDS model can be used to provide improvements to the simplified representation of wind technology in other capacity expansion models. This task did not employ the WinDS model, but builds from it and its results. Task 4a.2 provides an assessment of the electric grid operational features of the 20% Wind scenario and was conducted using power flow models accepted by the utility industry. Tasks 2 provides information regarding the physical flow of electricity on the electric grid which is a critical aspect of infrastructure expansion scenarios. Expanding transmission infrastructure to access remote wind resource in a physically realizable way is essential to achieving 20% wind energy by 2030.

  3. Grid Simulator for Testing MW-Scale Wind Turbines at NREL (Poster)

    SciTech Connect (OSTI)

    Gevorgian, V.; McDade, M.; Wallen, R.; Mendoza, I.; Shirazi, M.

    2011-05-01T23:59:59.000Z

    As described, an initiative by NREL to design and construct a 9-MVA grid simulator to operate with the existing 2.5 MW and new upcoming 5-MW dynamometer facilities will fulfill this role and bring many potential benefits to the U.S. wind industry with the ultimate goal of reducing wind energy integration costs.

  4. Fluidic: Grid-Scale Batteries for Wind and Solar

    Broader source: Energy.gov [DOE]

    Thanks to an ARPA-E award, Fluidic recognized the potential to transform how our nation stores and utilizes energy throughout the electric grid.

  5. Fixed-Speed and Variable-Slip Wind Turbines Providing Spinning Reserves to the Grid: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Singh, M.; Gevorgian, V.

    2012-11-01T23:59:59.000Z

    As the level of wind penetration increases, wind turbine technology must move from merely generating power from wind to taking a role in supporting the bulk power system. Wind turbines should have the capability to provide inertial response and primary frequency (governor) response so they can support the frequency stability of the grid. To provide governor response, wind turbines should be able to generate less power than the available wind power and hold the rest in reserve, ready to be accessed as needed. This paper explores several ways to control wind turbine output to enable reserve-holding capability. This paper focuses on fixed-speed (also known as Type 1) and variable-slip (also known as Type 2) turbines.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecastingNews The following

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning and

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy Phase 2

  9. OFF-SHORE WIND AND GRID-CONNECTED PV: HIGH PENETRATION PEAK SHAVING FOR NEW YORK CITY

    E-Print Network [OSTI]

    Perez, Richard R.

    OFF-SHORE WIND AND GRID-CONNECTED PV: HIGH PENETRATION PEAK SHAVING FOR NEW YORK CITY Richard Perez-shore wind and PV generation using the city of New York as a test case. While wind generation is not known one year's worth of hourly site & time-specific data including electrical demand PV and off-shore wind

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

    E-Print Network [OSTI]

    He, Miao; Zhang, Junshan

    2010-01-01T23:59:59.000Z

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

  11. Sandia National Laboratories: grid-tied wind-power inverters

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

    wind-power inverters Sandia, DOE Energy Storage Program, GeneSiC Semiconductor, U.S. Army ARDEC: Ultra-High-Voltage Silicon Carbide Thyristors On March 29, 2013, in Capabilities,...

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy Phase 2Study

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

    SciTech Connect (OSTI)

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

    2010-09-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Not Available

    2013-11-01T23:59:59.000Z

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

  15. New Battery Design Could Help Solar and Wind Power the Grid

    Broader source: Energy.gov [DOE]

    Researchers from the U.S. Department of Energy’s (DOE) SLAC National Accelerator Laboratory and Stanford University have designed a low-cost, long-life “flow” battery that could enable solar and wind energy to become major suppliers to the electrical grid.

  16. Power control of a wind farm with active stall wind turbines and AC grid connection

    E-Print Network [OSTI]

    turbines and active stall wind farms with HVDC connection are described in [6-7] and [8], respectivelly

  17. Wind and Solar on the Power Grid: Myths and Misperceptions, Greening the Grid (Fact Sheet), NREL (National Renewable Energy Laboratory)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWindEnergySystemSOLAR ON

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

    SciTech Connect (OSTI)

    Phadke, Amol; Abhyankar, NIkit; Rao, Poorvi

    2014-06-17T23:59:59.000Z

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

  19. Utility Scale Wind Turbines on a Grid Connected Island Mohit Dua, Anthony L. Rogers, James F. Manwell,

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Utility Scale Wind Turbines on a Grid Connected Island Mohit Dua, Anthony L. Rogers, James F utility scale wind turbines on Fox Islands, located 12 miles from the coast of Maine in the United States of electricity itself. Three locations are analyzed in detail as potential sites for wind turbine installations

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

    SciTech Connect (OSTI)

    Not Available

    2011-10-01T23:59:59.000Z

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

  1. Performance Parameters for Grid-Connected PV Systems

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPO WebsitePalmsthe Price (Percent)5National Renewable

  2. Enhanced Short-Term Wind Power Forecasting and Value to Grid Operations: Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Clark, C.; Cline, J.; Benjamin, S.; Wilczak, J.; Marquis, M.; Finley, C.; Stern, A.; Freedman, J.

    2012-09-01T23:59:59.000Z

    The current state of the art of wind power forecasting in the 0- to 6-hour time frame has levels of uncertainty that are adding increased costs and risk on the U.S. electrical grid. It is widely recognized within the electrical grid community that improvements to these forecasts could greatly reduce the costs and risks associated with integrating higher penetrations of wind energy. The U.S. Department of Energy has sponsored a research campaign in partnership with the National Oceanic and Atmospheric Administration (NOAA) and private industry to foster improvements in wind power forecasting. The research campaign involves a three-pronged approach: 1) a 1-year field measurement campaign within two regions; 2) enhancement of NOAA's experimental 3-km High-Resolution Rapid Refresh (HRRR) model by assimilating the data from the field campaign; and 3) evaluation of the economic and reliability benefits of improved forecasts to grid operators. This paper and presentation provides an overview of the regions selected, instrumentation deployed, data quality and control, assimilation of data into HRRR, and preliminary results of HRRR performance analysis.

  3. Electrical Power Grid Delivery Dynamic Analysis: Using Prime Mover Engines to Balance Dynamic Wind Turbine Output

    SciTech Connect (OSTI)

    Diana K. Grauer; Michael E. Reed

    2011-11-01T23:59:59.000Z

    This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy.

  4. MODAL PARAMETER ESTIMATION FOR OPERATIONAL WIND TURBINES Emilio Di Lorenzo1, 2

    E-Print Network [OSTI]

    Boyer, Edmond

    MODAL PARAMETER ESTIMATION FOR OPERATIONAL WIND TURBINES Emilio Di Lorenzo1, 2 , Simone Manzato1 Claudio 21, 80125 Naples, Italy emilio.dilorenzo@lmsintl.com ABSTRACT Wind turbines are time. This assumption holds in the case of parked wind turbines, but not in the case of operating wind turbines

  5. IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 1, MARCH 2013 509 Optimized Control of DFIG-Based Wind

    E-Print Network [OSTI]

    He, Haibo

    of doubly-fed induction generators (DFIG) based wind generation. Instead of optimizing all the controlIEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 1, MARCH 2013 509 Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization Yufei Tang, Ping Ju, Senior Member

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

    SciTech Connect (OSTI)

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

    2014-01-31T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2010-01-01T23:59:59.000Z

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

  8. EFFECT OF A DAMAGE TO MODAL PARAMETERS OFA WIND TURBINE Gunner Chr. Larsen1

    E-Print Network [OSTI]

    Boyer, Edmond

    EFFECT OF A DAMAGE TO MODAL PARAMETERS OFA WIND TURBINE BLADE Gunner Chr. Larsen1 , Peter Berring1 , Dmitri Tcherniak2 , Per Hørlyk Nielsen1 , Kim Branner1 1 DTU Wind Energy, Technical University of Denmark testing campaign on a 34m long wind turbine blade mounted on a test-rig under laboratory conditions

  9. AIAA-2003-0694 QUANTIFICATION OF PROCESSING PARAMETERS FOR WIND TURBINE

    E-Print Network [OSTI]

    AIAA-2003-0694 QUANTIFICATION OF PROCESSING PARAMETERS FOR WIND TURBINE BLADES Douglas Cairns, John of processing techniques and can be useful to wind turbine blade manufacturers to prepare processing conditions-3]. This is a consequence of the typical material architectures that are used in wind turbine blades. Figure 1

  10. Influences of offshore environmental conditions on wind shear profile parameters in Nantucket Sound

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Influences of offshore environmental conditions on wind shear profile parameters in Nantucket Sound@ecs.umass.edu ABSTRACT Simultaneous wind resource and oceanographic data are available from an offshore monitoring tower how oceanographic data can be used to aid offshore wind resource assessment evaluations. This study

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

    Broader source: Energy.gov [DOE]

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

  12. A Data Analytics Framework for Smart Grids: Spatio-temporal Wind Power Analysis and Synchrophasor Data Mining

    E-Print Network [OSTI]

    Reisslein, Martin

    fusion of synchrophasor measurements toward secure power grids. Part I is centered around wind power technology into the security assessment and the post-disturbance fault diagnosis of power systems. First, a data-mining framework is developed for on-line dynamic security assessment by using adaptive ensemble

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

    SciTech Connect (OSTI)

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

    2009-09-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Phadke, Amol

    2014-01-01T23:59:59.000Z

    sharing the load and wind generation data. We thank Sushil2008. “Analysis of Wind Generation Impact on ERCOT Ancillaryof the Variability of Wind Generation in India: Implications

  15. The influence of clumping on predicted O star wind parameters

    E-Print Network [OSTI]

    Jiri Krticka; Joachim Puls; Jiri Kubat

    2007-08-09T23:59:59.000Z

    We study the influence of clumping on the predicted wind structure of O-type stars. For this purpose we artificially include clumping into our stationary wind models. When the clumps are assumed to be optically thin, the radiative line force increases compared to corresponding unclumped models, with a similar effect on either the mass-loss rate or the terminal velocity (depending on the onset of clumping). Optically thick clumps, alternatively, might be able to decrease the radiative force.

  16. On the Study of Uncertainty in Inflow Turbulence Model Parameters in Wind Turbine Applications

    E-Print Network [OSTI]

    Manuel, Lance

    On the Study of Uncertainty in Inflow Turbulence Model Parameters in Wind Turbine Applications Korn, Austin, TX 78712 In stochastic simulation of inflow turbulence random fields for wind turbine applica models can be in turn highly variable. Turbine load and performance variability could as well result

  17. Sensitivity Analysis of Wind Plant Performance to Key Turbine Design Parameters: A Systems Engineering Approach; Preprint

    SciTech Connect (OSTI)

    Dykes, K.; Ning, A.; King, R.; Graf, P.; Scott, G.; Veers, P.

    2014-02-01T23:59:59.000Z

    This paper introduces the development of a new software framework for research, design, and development of wind energy systems which is meant to 1) represent a full wind plant including all physical and nonphysical assets and associated costs up to the point of grid interconnection, 2) allow use of interchangeable models of varying fidelity for different aspects of the system, and 3) support system level multidisciplinary analyses and optimizations. This paper describes the design of the overall software capability and applies it to a global sensitivity analysis of wind turbine and plant performance and cost. The analysis was performed using three different model configurations involving different levels of fidelity, which illustrate how increasing fidelity can preserve important system interactions that build up to overall system performance and cost. Analyses were performed for a reference wind plant based on the National Renewable Energy Laboratory's 5-MW reference turbine at a mid-Atlantic offshore location within the United States.

  18. WindTurbineGenerator Introduction of the Renewable Micro-Grid Test-Bed

    E-Print Network [OSTI]

    Johnson, Eric E.

    Simulator Wind Turbine: PMSM, 3kW, 8.3A Wind Generator: PMSM, 3kW, 8.3A 3 AC/DC Converter & DC/AC Inverter Wind Turbine: Torque or Speed Control Wind Generator: PQ Control Cubicle #4: Energy Storage Generator #1 3kW, 8.3A Wind Turbine #1 3kW, 8.3A Wind Turbine #2 3kW Wind Generator #2 3kW RS232

  19. Sandia National Laboratories: Grid Integration

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

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

  20. A new method to estimate annual solar wind parameters and contributions of different solar wind structures to geomagnetic activity

    E-Print Network [OSTI]

    Holappa, Lauri; Asikainen, Timo

    2015-01-01T23:59:59.000Z

    In this paper, we study two sets of local geomagnetic indices from 26 stations using the principal component (PC) and the independent component (IC) analysis methods. We demonstrate that the annually averaged indices can be accurately represented as linear combinations of two first components with weights systematically depending on latitude. We show that the annual contributions of coronal mass ejections (CMEs) and high speed streams (HSSs) to geomagnetic activity are highly correlated with the first and second IC. The first and second ICs are also found to be very highly correlated with the strength of the interplanetary magnetic field (IMF) and the solar wind speed, respectively, because solar wind speed is the most important parameter driving geomagnetic activity during HSSs while IMF strength dominates during CMEs. These results help in better understanding the long-term driving of geomagnetic activity and in gaining information about the long-term evolution of solar wind parameters and the different sol...

  1. Sandia National Laboratories: Wind

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

    Wind Grid System Planning for Wind: Wind Generator Modeling On June 11, 2014, in Wind generation continues to dominate the interconnection queues and the need for generic,...

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

    E-Print Network [OSTI]

    Phadke, Amol

    2014-01-01T23:59:59.000Z

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

  3. Development and Validation of WECC Variable Speed Wind Turbine Dynamic Models for Grid Integration Studies

    SciTech Connect (OSTI)

    Behnke, M.; Ellis, A.; Kazachkov, Y.; McCoy, T.; Muljadi, E.; Price, W.; Sanchez-Gasca, J.

    2007-09-01T23:59:59.000Z

    This paper describes reduced-order, simplified wind turbine models for analyzing the stability impact of large arrays of wind turbines with a single point of network interconnection.

  4. Robust and fault-tolerant linear parameter-varying control of wind turbines Christoffer Sloth a,,1

    E-Print Network [OSTI]

    Hansen, René Rydhof

    Robust and fault-tolerant linear parameter-varying control of wind turbines Christoffer Sloth a,,1 Keywords: Wind turbine control Linear parameter-varying (LPV) control Fault-tolerant control Robust control a b s t r a c t High performance and reliability are required for wind turbines to be competitive

  5. Analyzing the Deployment of Large Amounts of Offshore Wind to Design an Offshore Transmission Grid in the United States: Preprint

    SciTech Connect (OSTI)

    Ibanez, E.; Mai, T.; Coles, L.

    2012-09-01T23:59:59.000Z

    This paper revisits the results from the U.S. Department of Energy's '20% Wind Energy By 2030' study, which envisioned that 54 GW of offshore wind would be installed by said year. The analysis is conducted using the Regional Energy Deployment System (ReEDS), a capacity expansion model developed by the National Renewable Energy Laboratory. The model is used to optimize the deployment of the 54 GW of wind capacity along the coasts and lakes of the United States. The graphical representation of the results through maps will be used to provide a qualitative description for planning and designing an offshore grid. ReEDS takes into account many factors in the process of siting offshore wind capacity, such as the quality of the resource, capital and O&M costs, interconnection costs, or variability metrics (wind capacity value, forecast error, expected curtailment). The effect of these metrics in the deployment of offshore wind will be analyzed through examples in the results.

  6. Dynamic Analysis of Electrical Power Grid Delivery: Using Prime Mover Engines to Balance Dynamic Wind Turbine Output

    SciTech Connect (OSTI)

    Diana K. Grauer

    2011-10-01T23:59:59.000Z

    This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy.

  7. What day-ahead reserves are needed in electric grids with high levels of wind power? This article has been downloaded from IOPscience. Please scroll down to see the full text article.

    E-Print Network [OSTI]

    Jaramillo, Paulina

    What day-ahead reserves are needed in electric grids with high levels of wind power? This article) 034013 (11pp) doi:10.1088/1748-9326/8/3/034013 What day-ahead reserves are needed in electric grids analysis uses data from two different electric grids in the US with similar levels of installed wind

  8. Impacts of Improved Day-Ahead Wind Forecasts on Power Grid Operations: September 2011

    SciTech Connect (OSTI)

    Piwko, R.; Jordan, G.

    2011-11-01T23:59:59.000Z

    This study analyzed the potential benefits of improving the accuracy (reducing the error) of day-ahead wind forecasts on power system operations, assuming that wind forecasts were used for day ahead security constrained unit commitment.

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

    SciTech Connect (OSTI)

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

    2010-12-01T23:59:59.000Z

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

  10. Real time grid congestion management in presence of high penetration of wind energy

    E-Print Network [OSTI]

    Boyer, Edmond

    of wind generation [2]. In the literature, many methods have been reported for congestion management to element outage or random production as is wind generation. hal-00422160,version1-6Oct2009 Author related to wind generation [8]. This is due to the difficulties to predict exact congestion magnitude

  11. Using Wind and Solar to Reliably Meet Electricity Demand, Greening the Grid (Fact Sheet), NREL (National Renewable Energy Laboratory)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict Solar Final Report toWIND AND SOLAR

  12. Effect of nickel grid parameters on production of negative hydrogen ions

    SciTech Connect (OSTI)

    Oohara, W.; Yokoyama, H.; Takeda, Toshiaki; Maetani, Y.; Takeda, Takashi; Kawata, K. [Department of Electronic Device Engineering, Yamaguchi University, Ube 755-8611 (Japan)

    2014-06-15T23:59:59.000Z

    Negative hydrogen ions are produced by plasma-assisted catalytic ionization using a nickel grid. When positive ions passing through the grid are decelerated by an electric field, the extraction current density of passing positive ions is sharply reduced by neutralization and negative ionization of the ions. This phenomenon is found to depend on the specific surface area of the grid and the current density.

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

    Broader source: Energy.gov [DOE]

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

  14. Grid Operation and Coordination with Wind -2 1.0 Introduction

    E-Print Network [OSTI]

    McCalley, James D.

    in these notes is on regulation, we will focus on primary frequency control. Figure 1 uses the term "primary existing wind turbines today do not have control capability necessary to provide regulation. But perhaps regulate, it contributes to a need for more regulation. #12;3 2.0 Variability of wind power There are two

  15. NWTC Controllable Grid Interface (Fact Sheet), National Wind Technology Center (NWTC)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck PlatooningJefferson Labteleconference5(mobile) storage

  16. NWTC Controllable Grid Interface (Fact Sheet), National Wind Technology Center (NWTC)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck PlatooningJefferson Labteleconference5(mobile)

  17. Effect of Wind Intermittency on the Electric Grid: Mitigating the Risk of Energy Deficits

    E-Print Network [OSTI]

    George, Sam O; Nguyen, Scott V

    2010-01-01T23:59:59.000Z

    Successful implementation of California's Renewable Portfolio Standard (RPS) mandating 33 percent renewable energy generation by 2020 requires inclusion of a robust strategy to mitigate increased risk of energy deficits (blackouts) due to short time-scale (sub 1 hour) intermittencies in renewable energy sources. Of these RPS sources, wind energy has the fastest growth rate--over 25% year-over-year. If these growth trends continue, wind energy could make up 15 percent of California's energy portfolio by 2016 (wRPS15). However, the hour-to-hour variations in wind energy (speed) will create large hourly energy deficits that require installation of other, more predictable, compensation generation capacity and infrastructure. Compensating for the energy deficits of wRPS15 could potentially cost tens of billions in additional dollar-expenditure for fossil and / or nuclear generation capacity. There is a real possibility that carbon dioxide and other greenhouse gas (GHG) emission reductions will miss the California ...

  18. New Battery Design Could Help Solar and Wind Power the Grid | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy:Nanowire Solar541,9337, 2011R - 445 CU - 2 3 1 Nevis -Approaches

  19. Small Wind Guidebook/Can I Connect My System to the Utility Grid | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, New York:SiG SolarSkykomish,NewEnergy Information Small Wind

  20. Grid-Connected Renewable Energy Generation Toolkit-Wind | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating AGeothermal/ExplorationGoods | OpenInformation BestInformation Wind

  1. Sandia National Laboratories: Transmission Grid Integration

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

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

  2. Risk-Mitigated Optimal Power Flow for Wind Powered Grids Emma Sjodin, Dennice F. Gayme and Ufuk Topcu

    E-Print Network [OSTI]

    Low, Steven H.

    with wind generators that are supplemented by fast-ramping conventional back-up generators. This OPF

  3. Features of a fully renewable US electricity system: Optimized mixes of wind and solar PV and transmission grid extensions

    E-Print Network [OSTI]

    Jacobson, Mark

    in order to follow the de- mand, wind and solar PV power output is largely determined by weather conditions Large-scale integration of renewable power generation Wind power generation Solar PV power generation Power transmission a b s t r a c t A future energy system is likely to rely heavily on wind and solar PV

  4. AUSTRIAN GRID AUSTRIAN GRID

    E-Print Network [OSTI]

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

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

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

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

  6. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    can also provide power to off-grid sites. Wind turbines usedkW in size (often used off-grid) were flat or even declined

  7. Articles about Grid Integration and Transmission

    Broader source: Energy.gov [DOE]

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

  8. The Dependence of the Strength and Thickness of Field-Aligned Currents on Solar Wind and Ionospheric Parameters

    SciTech Connect (OSTI)

    Johnson, Jay R. [PPPL; Wing, Simon [Johns Hopkins University

    2014-08-01T23:59:59.000Z

    Sheared plasma flows at the low-latitude boundary layer correlate well with early afternoon auroral arcs and #12;eld-aligned currents [Sonnerup, 1980; Lundin and Evans, 1985]. We present a simple analytic model that relates solar wind and ionospheric parameters to the strength and thickness of field-aligned currents in a region of sheared velocity, such as the low latitude boundary layer. We compare the predictions of the model with DMSP observations and #12;nd remarkably good scaling of the currents with solar wind and ionospheric parameters. The sheared boundary layer thickness is inferred to be around 3000km consistent with observational studies. The analytic model provides a simple way to organize data and to infer boundary layer structures from ionospheric data.

  9. Kahuku Wind Power (First Wind) | Department of Energy

    Office of Environmental Management (EM)

    The project employs the integration of Clipper LibertyTM wind turbine generators and a control system to more efficiently integrate wind power with the utility's power grid....

  10. Proceedings Nordic Wind Power Conference

    E-Print Network [OSTI]

    Estimation of Possible Power for Wind Plant Control Power Fluctuations from Offshore Wind Farms; Model Validation System grounding of wind farm medium voltage cable grids Faults in the Collection Grid of Offshore systems of wind turbines and wind farms. NWPC presents the newest research results related to technical

  11. Features of a fully renewable US electricity system: Optimized mixes of wind and solar PV and transmission grid extensions

    E-Print Network [OSTI]

    Becker, Sarah; Andresen, Gorm B; Zeyer, Timo; Schramm, Stefan; Greiner, Martin; Jacobson, Mark Z

    2014-01-01T23:59:59.000Z

    Wind and solar PV generation data for the entire contiguous US are calculated, on the basis of 32 years of weather data with temporal resolution of one hour and spatial resolution of 40x40km$^2$, assuming site-suitability-based as well as stochastic wind and solar PV capacity distributions throughout the country. These data are used to investigate a fully renewable electricity system, resting primarily upon wind and solar PV power. We find that the seasonal optimal mix of wind and solar PV comes at around 80% solar PV share, owing to the US summer load peak. By picking this mix, long-term storage requirements can be more than halved compared to a wind only mix. The daily optimal mix lies at about 80% wind share due to the nightly gap in solar PV production. Picking this mix instead of solar only reduces backup energy needs by about 50%. Furthermore, we calculate shifts in FERC (Federal Energy Regulatory Commission)-level LCOE (Levelized Costs Of Electricity) for wind and solar PV due to their differing resour...

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

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

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

  13. 2014 International Workshop on Grid Simulator Testing | Department...

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

    the second International Workshop on Grid Simulator Testing of Energy Systems and Wind Turbine Powertrains at the Duke Energy Electric Grid Research, Innovations and Development...

  14. Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration

    SciTech Connect (OSTI)

    Rodney Frehlich

    2012-10-30T23:59:59.000Z

    New upstream measurements of wind profiles over the altitude range of wind turbines will be produced using a scanning Doppler lidar. These long range high quality measurements will provide improved wind power forecasts for wind energy integration into the power grid. The main goal of the project is to develop the optimal Doppler lidar operating parameters and data processing algorithms for improved wind energy integration by enhancing the wind power forecasts in the 30 to 60 minute time frame, especially for the large wind power ramps. Currently, there is very little upstream data at large wind farms, especially accurate wind profiles over the full height of the turbine blades. The potential of scanning Doppler lidar will be determined by rigorous computer modeling and evaluation of actual Doppler lidar data from the WindTracer system produced by Lockheed Martin Coherent Technologies, Inc. of Louisville, Colorado. Various data products will be investigated for input into numerical weather prediction models and statistically based nowcasting algorithms. Successful implementation of the proposed research will provide the required information for a full cost benefit analysis of the improved forecasts of wind power for energy integration as well as the added benefit of high quality wind and turbulence information for optimal control of the wind turbines at large wind farms.

  15. Combining Droop Curve Concepts with Control Systems for Wind Turbine Active Power Control: Preprint

    SciTech Connect (OSTI)

    Buckspan, A.; Aho, J.; Pao, L.; Fleming, P.; Jeong, Y.

    2012-06-01T23:59:59.000Z

    Wind energy is becoming a larger portion of the global energy portfolio and wind penetration has increased dramatically in certain regions of the world. This increasing wind penetration has driven the need for wind turbines to provide active power control (APC) services to the local utility grid, as wind turbines do not intrinsically provide frequency regulation services that are common with traditional generators. It is common for large scale wind turbines to be decoupled from the utility grid via power electronics, which allows the turbine to synthesize APC commands via control of the generator torque and blade pitch commands. Consequently, the APC services provided by a wind turbine can be more flexible than those provided by conventional generators. This paper focuses on the development and implementation of both static and dynamic droop curves to measure grid frequency and output delta power reference signals to a novel power set point tracking control system. The combined droop curve and power tracking controller is simulated and comparisons are made between simulations using various droop curve parameters and stochastic wind conditions. The tradeoffs involved with aggressive response to frequency events are analyzed. At the turbine level, simulations are performed to analyze induced structural loads. At the grid level, simulations test a wind plant's response to a dip in grid frequency.

  16. The Cost of Transmission for Wind Energy in the United States: A Review of Transmission Planning Studies.

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    Grid. 2006. Trans mission and Wind Energy: Capturing theour sample. 20% Wind Energy: Wind Deployment System (WinDS)and Renewable Energy (Wind & Hydropower Technologies

  17. AIAA Paper 97-2220, Applied Aerodynamics Conference, June 1997 Aerodynamic Parameter Measurement Using the Wind Driven Manipulator

    E-Print Network [OSTI]

    Using the Wind Driven Manipulator: Inverse Force Measurement on Wings Richard G. Ames , N.M. KomerathInverse force measurement using a wind-driven dynamic manipulator is explored. Using system identification techniques, the WDM offers a method of measuring forces and moments on wind tunnel models during rapid, multi

  18. Opening Remarks, Grid Integration Initiative Overview

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

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

  19. Copyright 2008 IEEE. Reprinted from J. Rose, and I. Hiskens. Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior.

    E-Print Network [OSTI]

    Copyright © 2008 IEEE. Reprinted from J. Rose, and I. Hiskens. Estimating Wind Turbine Parameters, July 2008. This material is posted here with permission of the IEEE. Such permission of the IEEE does or services. Internal or personal use of this material is permitted. However, permission to reprint

  20. Temporal structure of aggregate power fluctuations in large-eddy simulations of extended wind-farms

    E-Print Network [OSTI]

    Stevens, Richard J A M

    2014-01-01T23:59:59.000Z

    Fluctuations represent a major challenge for the incorporation of electric power from large wind-farms into power grids. Wind farm power output fluctuates strongly in time, over various time scales. Understanding these fluctuations, especially their spatio-temporal characteristics, is particularly important for the design of backup power systems that must be readily available in conjunction with wind-farms. In this work we analyze the power fluctuations associated with the wind-input variability at scales between minutes to several hours, using large eddy simulations (LES) of extended wind-parks, interacting with the atmospheric boundary layer. LES studies enable careful control of parameters and availability of wind-velocities simultaneously across the entire wind-farm. The present study focuses on neutral atmospheric conditions and flat terrain, using actuator-disk representations of the individual wind-turbines. We consider power from various aggregates of wind-turbines such as the total average power sign...

  1. The identification of inflow fluid dynamics parameters that can be used to scale fatigue loading spectra of wind turbine structural components

    SciTech Connect (OSTI)

    Kelley, N.D.

    1993-11-01T23:59:59.000Z

    We have recently shown that the alternating load fatigue distributions measured at several locations on a wind turbine operating in a turbulent flow can be described by a mixture of at least three parametric statistical models. The rainflow cycle counting of the horizontal and vertical inflow components results in a similar mixture describing the cyclic content of the wind. We believe such a description highlights the degree of non-Gaussian characteristics of the flow. We present evidence that the severity of the low-cycle, high-amplitude alternating stress loads seen by wind turbine components are a direct consequence of the degree of departure from normality in the inflow. We have examined the details of the turbulent inflow associated with series large loading events that took place on two adjacent wind turbines installed in a large wind park in San Gorgonio Pass, California. In this paper, we describe what we believe to be the agents in the flow that induced such events. We also discuss the atmospheric mechanisms that influence the low-cycle, high-amplitude range loading seen by a number of critical wind turbine components. We further present results that can be used to scale the specific distribution shape as functions of measured inflow fluid dynamics parameters.

  2. Sandia National Laboratories: Grid Integration

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

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

  3. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    can also provide power to off-grid sites. Wind turbines used1 kW in size (often used off-grid) were flat from 2006-09 at

  4. Control of a wind park with doubly fed induction generators in support of power system stability in case of grid faults

    E-Print Network [OSTI]

    Control of a wind park with doubly fed induction generators in support of power system stability, 64283 Darmstadt, Germany * Risø National Laboratory, Wind Energy Department, P.O. Box 49, DK-4000@re.tu-darmstadt.de Abstract The paper presents a control strategy for wind parks based on the doubly fed induction generator

  5. Power and Frequency Control as it Relates to Wind-Powered Generation

    E-Print Network [OSTI]

    Lacommare, Kristina S H

    2011-01-01T23:59:59.000Z

    scale additions of wind generation. The objectives of thisof large amounts of wind generation confronts the grid withhave been important as wind generation has gone from being a

  6. NREL: Wind Research - Grid Integration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency VisitSilver Toyota Prius being driven in frontDataGet

  7. Research and Development Needs for Wind Systems Utilizing Controllable...

    Energy Savers [EERE]

    areas: Grid Integration Manufacturing Research and Development Wind Turbine Power Electronics Advanced Grid Modeling and Simulation. This RFI is not intended to inform a...

  8. Applications (Grid Tools)

    E-Print Network [OSTI]

    Buyya, Rajkumar

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

  9. Analysis of Mesoscale Model Data for Wind Integration (Poster)

    SciTech Connect (OSTI)

    Schwartz, M.; Elliott, D.; Lew, D.; Corbus, D.; Scott, G.; Haymes, S.; Wan, Y. H.

    2009-05-01T23:59:59.000Z

    Supports examination of implications of national 20% wind vision, and provides input to integration and transmission studies for operational impact of large penetrations of wind on the grid.

  10. Offshore Wind Market Acceleration Projects | Department of Energy

    Energy Savers [EERE]

    to connect this offshore wind energy to the grid. The University of Delaware is examining potential effects of wind penetration on the Mid-Atlantic electric grid and facilitating...

  11. Wind Power

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind Industry SoarsWind

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

    E-Print Network [OSTI]

    Qiu, Robert Caiming

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

  13. A Grid of FASTWIND NLTE Model Atmospheres of Massive Stars

    E-Print Network [OSTI]

    K. Lefever; J. Puls; C. Aerts

    2006-09-22T23:59:59.000Z

    In the last few years our knowledge of the physics of massive stars has improved tremendously. However, further investigations are still needed, especially regarding accurate calibrations of their fundamental parameters. To this end, we have constructed a comprehensive grid of NLTE model atmospheres and corresponding synthetic spectra in the massive star domain. The grid covers the complete B type spectral range, extended to late O on the hot side and early A on the cool side, from supergiants to dwarfs and from weak stellar winds to very strong ones. It has been calculated with the latest version of the FASTWIND code. The analysis of an extensive sample of OB stars in the framework of the COROT space mission will lead to accurate calibrations of effective temperatures, gravities, mass loss rates etc. This paper contains a detailed description of the grid, which has been baptised as BSTAR06 and which will be available for further research in the near future.

  14. RTDS-Based Design and Simulation of Distributed P-Q Power Resources in Smart Grid

    E-Print Network [OSTI]

    Taylor, Zachariah David

    2014-01-01T23:59:59.000Z

    micro-wind turbines are connected to grid by cascading rectifier stages with an inverter stage. Energy storage

  15. Performance Analysis of Off-Grid Micro WECS in Harsh

    E-Print Network [OSTI]

    Bruneau, Steve

    Performance Analysis of Off- Grid Micro WECS in Harsh Environments Jonas Roberts Masters wind power at off-grid sites · Motivated by high cost and environmental risk of traditional diesel

  16. Grid Integration

    SciTech Connect (OSTI)

    Not Available

    2008-09-01T23:59:59.000Z

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

  17. MODELING WIND TURBINES IN THE GRIDLAB-D SOFTWARE ENVIRONMENT

    SciTech Connect (OSTI)

    Fuller, J.C.; Schneider, K.P.

    2009-01-01T23:59:59.000Z

    In recent years, the rapid expansion of wind power has resulted in a need to more accurately model the effects of wind penetration on the electricity infrastructure. GridLAB-D is a new simulation environment developed for the U.S. Department of Energy (DOE) by the Pacifi c Northwest National Laboratory (PNNL), in cooperation with academic and industrial partners. GridLAB-D was originally written and designed to help integrate end-use smart grid technologies, and it is currently being expanded to include a number of other technologies, including distributed energy resources (DER). The specifi c goal of this project is to create a preliminary wind turbine generator (WTG) model for integration into GridLAB-D. As wind power penetration increases, models are needed to accurately study the effects of increased penetration; this project is a beginning step at examining these effects within the GridLAB-D environment. Aerodynamic, mechanical and electrical power models were designed to simulate the process by which mechanical power is extracted by a wind turbine and converted into electrical energy. The process was modeled using historic atmospheric data, collected over a period of 30 years as the primary energy input. This input was then combined with preliminary models for synchronous and induction generators. Additionally, basic control methods were implemented, using either constant power factor or constant power modes. The model was then compiled into the GridLAB-D simulation environment, and the power outputs were compared against manufacturers’ data and then a variation of the IEEE 4 node test feeder was used to examine the model’s behavior. Results showed the designs were suffi cient for a prototype model and provided output power similar to the available manufacturers’ data. The prototype model is designed as a template for the creation of new modules, with turbine-specifi c parameters to be added by the user.

  18. Off-grid Energy in Rural India: Policy Recommendations for

    E-Print Network [OSTI]

    Mauzerall, Denise

    -grid energy technologies, like improved cooking stoves, biogas digesters, and micro hydropower efficient wood- fueled cooking stoves, biogas digesters for fuel production, or wind

  19. CgWind: A high-order accurate simulation tool for wind turbines and wind farms

    SciTech Connect (OSTI)

    Chand, K K; Henshaw, W D; Lundquist, K A; Singer, M A

    2010-02-22T23:59:59.000Z

    CgWind is a high-fidelity large eddy simulation (LES) tool designed to meet the modeling needs of wind turbine and wind park engineers. This tool combines several advanced computational technologies in order to model accurately the complex and dynamic nature of wind energy applications. The composite grid approach provides high-quality structured grids for the efficient implementation of high-order accurate discretizations of the incompressible Navier-Stokes equations. Composite grids also provide a natural mechanism for modeling bodies in relative motion and complex geometry. Advanced algorithms such as matrix-free multigrid, compact discretizations and approximate factorization will allow CgWind to perform highly resolved calculations efficiently on a wide class of computing resources. Also in development are nonlinear LES subgrid-scale models required to simulate the many interacting scales present in large wind turbine applications. This paper outlines our approach, the current status of CgWind and future development plans.

  20. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    woes hamper China wind farms‘ push for profitability. ?18.9 gigawatts (GW) of new wind farms and overtook the US togrid companies to connect wind farms to the grid. The policy

  1. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    planning, policies, and programs, wind energy can be a coreof Wind Integration in the Tamil Nadu Grid. Energy PolicyEnergy Technologies Division Reassessing Wind Potential Estimates for India: Economic and Policy

  2. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    China‘s Potent Wind Potential. ? Technology Review,Fairley, ?China‘s Potent Wind Potential,? Technology Review,s Grid-Limited Wind Energy Potential. ? Carbon-Nation. 15

  3. Cost-minimized combinations of wind power, solar power and electrochemical storage, powering the grid up to 99.9% of the time

    E-Print Network [OSTI]

    Firestone, Jeremy

    . Due to the design constraints of both climate mitigation and fossil fuel depletion, the possibility wind, and photovoltaics) with electrochemical storage (batteries and fuel cells), incorporated of electricity without subsidies and with inclusion of external costs. Our model evaluated over 28 billion

  4. Sandia National Laboratories: national electricity grid

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

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

  5. Sandia National Laboratories: transmission grid integration

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

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

  6. Grid Security

    E-Print Network [OSTI]

    Sinnott, R.O.

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

  7. Mesoscale Simulations of a Wind Ramping Event for Wind Energy Prediction

    SciTech Connect (OSTI)

    Rhodes, M; Lundquist, J K

    2011-09-21T23:59:59.000Z

    Ramping events, or rapid changes of wind speed and wind direction over a short period of time, present challenges to power grid operators in regions with significant penetrations of wind energy in the power grid portfolio. Improved predictions of wind power availability require adequate predictions of the timing of ramping events. For the ramping event investigated here, the Weather Research and Forecasting (WRF) model was run at three horizontal resolutions in 'mesoscale' mode: 8100m, 2700m, and 900m. Two Planetary Boundary Layer (PBL) schemes, the Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) schemes, were run at each resolution as well. Simulations were not 'tuned' with nuanced choices of vertical resolution or tuning parameters so that these simulations may be considered 'out-of-the-box' tests of a numerical weather prediction code. Simulations are compared with sodar observations during a wind ramping event at a 'West Coast North America' wind farm. Despite differences in the boundary-layer schemes, no significant differences were observed in the abilities of the schemes to capture the timing of the ramping event. As collaborators have identified, the boundary conditions of these simulations probably dominate the physics of the simulations. They suggest that future investigations into characterization of ramping events employ ensembles of simulations, and that the ensembles include variations of boundary conditions. Furthermore, the failure of these simulations to capture not only the timing of the ramping event but the shape of the wind profile during the ramping event (regardless of its timing) indicates that the set-up and execution of such simulations for wind power forecasting requires skill and tuning of the simulations for a specific site.

  8. New Concepts in Wind Power Forecasting Models

    E-Print Network [OSTI]

    Kemner, Ken

    New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, João Gama, Guenter to the training of mappers such as neural networks to perform wind power prediction as a function of wind characteristics (mainly speed and direction) in wind parks connected to a power grid. Renyi's Entropy is combined

  9. The divergent wind component in data sparse tropical wind fields 

    E-Print Network [OSTI]

    Snyder, Bruce Alan

    1985-01-01T23:59:59.000Z

    boundary data were estimated by linear extrapolation from inner to outer grid points. Comparisons of level Illb wind data and cloud drift winds were made using Geostationary Operational Environmental Satelhte (GOES) West observed winds obtained from... for 0000 GMT 25 January 1979 were drawn and subjectively compared. Claudy regions viewed in enhanced GOES West imagery were superimposed on these streamline fields to determine whether the aliased wind fields correlated well with the convective activity...

  10. Methods and apparatus for rotor load control in wind turbines

    DOE Patents [OSTI]

    Moroz, Emilian Mieczyslaw

    2006-08-22T23:59:59.000Z

    A wind turbine having a rotor, at least one rotor blade, and a plurality of generators, of which a first generator is configured to provide power to an electric grid and a second generator is configured to provide power to the wind turbine during times of grid loss. The wind turbine is configured to utilize power provided by the second generator to reduce loads on the wind turbine during times of grid loss.

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

    Office of Environmental Management (EM)

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

  12. Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios

    SciTech Connect (OSTI)

    Arent, D.; Sullivan, P.; Heimiller, D.; Lopez, A.; Eurek, K.; Badger, J.; Jorgensen, H. E.; Kelly, M.; Clarke, L.; Luckow, P.

    2012-10-01T23:59:59.000Z

    This paper introduces a technique for digesting geospatial wind-speed data into areally defined -- country-level, in this case -- wind resource supply curves. We combined gridded wind-vector data for ocean areas with bathymetry maps, country exclusive economic zones, wind turbine power curves, and other datasets and relevant parameters to build supply curves that estimate a country's offshore wind resource defined by resource quality, depth, and distance-from-shore. We include a single set of supply curves -- for a particular assumption set -- and study some implications of including it in a global energy model. We also discuss the importance of downscaling gridded wind vector data to capturing the full resource potential, especially over land areas with complex terrain. This paper includes motivation and background for a statistical downscaling methodology to account for terrain effects with a low computational burden. Finally, we use this forum to sketch a framework for building synthetic electric networks to estimate transmission accessibility of renewable resource sites in remote areas.

  13. SINGLE STAGE GRID CONVERTERS FOR BATTERY ENERGY STORAGE

    E-Print Network [OSTI]

    Munk-Nielsen, Stig

    in the power system network such as wind and solar is still a challenge in our days. Energy storage systems, is the wide fluctuation of output power depending on the weather conditions. This power variation is reflected grid can smooth the output power of wind farms by acting as a load/generator improving the grid

  14. An experimental and numerical study of wind turbine seismic behavior

    E-Print Network [OSTI]

    Prowell, I.

    2011-01-01T23:59:59.000Z

    3.2.1 Description of Test Wind Turbine . . . . . .Figure 1.2: Components of a modern wind turbine . . . . . .D.3: D.4: Wind turbine parameters . . . . . . . . . . . .

  15. Wind farm electrical system

    DOE Patents [OSTI]

    Erdman, William L.; Lettenmaier, Terry M.

    2006-07-04T23:59:59.000Z

    An approach to wind farm design using variable speed wind turbines with low pulse number electrical output. The output of multiple wind turbines are aggregated to create a high pulse number electrical output at a point of common coupling with a utility grid network. Power quality at each individual wind turbine falls short of utility standards, but the aggregated output at the point of common coupling is within acceptable tolerances for utility power quality. The approach for aggregating low pulse number electrical output from multiple wind turbines relies upon a pad mounted transformer at each wind turbine that performs phase multiplication on the output of each wind turbine. Phase multiplication converts a modified square wave from the wind turbine into a 6 pulse output. Phase shifting of the 6 pulse output from each wind turbine allows the aggregated output of multiple wind turbines to be a 24 pulse approximation of a sine wave. Additional filtering and VAR control is embedded within the wind farm to take advantage of the wind farm's electrical impedence characteristics to further enhance power quality at the point of common coupling.

  16. Grid Architecture

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

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

  17. Active Power Control from Wind Power (Presentation)

    SciTech Connect (OSTI)

    Ela, E.; Brooks, D.

    2011-04-01T23:59:59.000Z

    In order to keep the electricity grid stable and the lights on, the power system relies on certain responses from its generating fleet. This presentation evaluates the potential for wind turbines and wind power plants to provide these services and assist the grid during critical times.

  18. This introduction to wind power technology is meant to help communities in considering or planning wind

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    This introduction to wind power technology is meant to help communities in considering or planning wind power. It focuses on commercial and medium-scale wind turbine technology that is available in the United States. This fact sheet also discusses the integration of wind power into the electrical grid

  19. Wind Power Reliability: Breaking Down a Barrier

    Broader source: Energy.gov [DOE]

    The steady increase of wind power on the grid presents new challenges for power system operators charged with making sure the grid stays up and running. "We need to ensure that we are going down a path that will lead to better reliability [with wind power]," said Bob Zavadil, an executive vice president at EnerNex Corporation in Knoxville, Tenn., a firm specializing in renewable energy grid interconnection and integration. "If this piece isn't done, there will be problems." EnerNex has spent the last decade perfecting wind turbine and plant models that test a wind plant's influence on the grid and its ability to provide grid support. In its latest effort, the company is using American Recovery and Reinvestment Act funds worth $750,000 to develop documentation and validations of computer wind turbine models.

  20. FUTURE POWER GRID INITIATIVE GridPACK: Grid Parallel Advanced

    E-Print Network [OSTI]

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

  1. Presented on the European Wind Energy Conference & Exhibition, Brussels, Belgium, March, 31 Network of offshore wind farms connected by gas insulated

    E-Print Network [OSTI]

    Heinemann, Detlev

    ­April, 3 rd 2008. Network of offshore wind farms connected by gas insulated transmission lines? Anja Summary The offshore wind power industry faces two major challenges: the connection of wind farms to the high voltage grid onshore and a smart grid integration of this offshore generated wind power. In terms

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

    E-Print Network [OSTI]

    Heinemann, Detlev

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

  3. Where is the ideal location for a US East Coast offshore grid? Michael J. Dvorak,1

    E-Print Network [OSTI]

    weather model data from 2006­2010 were used to approximate wind farm output. The offshore grid was located%, and the combined capacity factor was 48% (gross). By interconnecting offshore wind energy farms 450 km apart of no and full-power events. Offshore grids to connect offshore wind energy (OWE) farms have been proposed

  4. 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

    2011-11-30T23:59:59.000Z

    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.

  5. Electrolysis for Energy Storage & Grid Balancing in West Denmark

    E-Print Network [OSTI]

    this capacity before 2010, to about 2,700 MW. High wind power output often occurs out of phase with demand and often unpredictably. Wind power output also ramps up and down continuously, sometimes by large amounts, there is an excellent match between wind and fast responding hydro, from an overall operating and grid balancing point

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

    SciTech Connect (OSTI)

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

    2013-10-01T23:59:59.000Z

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

  7. NATL Grid Map 50-Meter Grid

    E-Print Network [OSTI]

    Slatton, Clint

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

  8. The divergent wind component in data sparse tropical wind fields

    E-Print Network [OSTI]

    Snyder, Bruce Alan

    1985-01-01T23:59:59.000Z

    's method and wind vectors of level Illb gridded wind data for 850 mb on 1200 GMT 20 January 1979. 11 Equivalent brightness temperature ('C) for 0000 GMT 25 January 1979 from TIROS-N IR radiance channel 11, representative of 700 mb moisture. 22 23 28..., velocity potential, and vector differences. The streamline routine follows the technique outlined by Whittaker (1977). The NCAR version of this streamline method was adapted to the Amdahl system. This technique normalizes the gridded u and v wind...

  9. Testing Active Power Control from Wind Power at the National Wind Technology Center (NWTC) (Presentation)

    SciTech Connect (OSTI)

    Ela, E.

    2011-05-01T23:59:59.000Z

    In order to keep the electricity grid stable and the lights on, the power system relies on certain responses from its generating fleet. This presentation evaluates the potential for wind turbines and wind power plants to provide these services and assist the grid during critical times.

  10. Wind Energy Research Project under the 6th Framework Programme Peter Hjuler Jensen, Ris National Laboratory,

    E-Print Network [OSTI]

    of wind turbines for future very large-scale applications, e.g. offshore wind farms of several hundred MW in wind farms and grid design issues, are to be analyzed, and new design approaches and concepts developed turbine structures. New developments in the field of wind farm lay out, control, and grid connection

  11. Evaluation of the Impacts of Deep Penetration of Wind Resources on Transmission Utilization and

    E-Print Network [OSTI]

    Gross, George

    Terms--wind generation, grid integration, trans- mission utilization, stability analysis, dynamic perfor- tion of wind generation resources into the power grids requires the evaluation of the impacts of wind quantification of the impacts of wind resource integration on the system. The evaluation of these impacts

  12. Towards Smart Integration of Wind Generation.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Towards Smart Integration of Wind Generation. G. Giebela , P. Meiboma , P. Pinsonb , and G for the management of electricity grids with large-scale wind generation and to get a better handle on extreme events that integrate the full information on the expected wind generation. In order to demonstrate the value

  13. Wind Mill Pattern Optimization using Evolutionary Algorithms

    E-Print Network [OSTI]

    Wind Mill Pattern Optimization using Evolutionary Algorithms Charlie Vanaret ENAC , IRIT 7 av Ed 31062 Toulouse Cedex 9, France jean-marc.alliot@irit.fr ABSTRACT When designing a wind farm layout, we a grid, we can gain up to 3% of energy output on simple exam- ples of wind farms dealing with many

  14. Wind Farm Power System Model Development: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Butterfield, C. P.

    2004-07-01T23:59:59.000Z

    In some areas, wind power has reached a level where it begins to impact grid operation and the stability of local utilities. In this paper, the model development for a large wind farm will be presented. Wind farm dynamic behavior and contribution to stability during transmission system faults will be examined.

  15. Capacity Building in Wind Energy for PICs

    E-Print Network [OSTI]

    indicates that significant wind energy potential exists. · A monitoring project showed that in Rarotonga system. · About 30 other islands could have potential for grid connected wind turbines in the 100-1000 k1 Capacity Building in Wind Energy for PICs Presentation of the project Regional Workshop Suva

  16. ARPA-E: Advancing the Electric Grid

    ScienceCinema (OSTI)

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

    2014-03-13T23:59:59.000Z

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

  17. ARPA-E: Advancing the Electric Grid

    SciTech Connect (OSTI)

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

    2014-02-24T23:59:59.000Z

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

  18. NREL: Wind Research - Offshore Wind Resource Characterization

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6 DecemberWind Resource

  19. NREL: Wind Research - Site Wind Resource Characteristics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6Site Wind Resource

  20. NREL: Wind Research - Small Wind Turbine Development

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6Site Wind ResourceSmall

  1. Operational behavior of a double-fed permanent magnet generator for wind turbines

    E-Print Network [OSTI]

    Reddy, Sivananda Kumjula

    2005-01-01T23:59:59.000Z

    Greater efficiency in wind turbine systems is achieved by allowing the rotor to change its rate of rotation as the wind speed changes. The wind turbine system is decoupled from the utility grid and a variable speed operation ...

  2. Status of Centralized Wind Power Forecasting in North America: May 2009-May 2010

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2010-04-01T23:59:59.000Z

    Report surveys grid wind power forecasts for all wind generators, which are administered by utilities or regional transmission organizations (RTOs), typically with the assistance of one or more wind power forecasting companies.

  3. Electricity for road transport, flexible power systems and wind...

    Open Energy Info (EERE)

    for road transport, flexible power systems and wind power (Smart Grid Project) Jump to: navigation, search Project Name Electricity for road transport, flexible power systems and...

  4. Sandia National Laboratories: Committee on Wind Turbine Availability

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

    Wind Turbine Availability Sandia Contributes to International Electrotechnical Commission IEC 61400-26 Availability Standard On June 12, 2014, in Analysis, Distribution Grid...

  5. University of Michigan Gets Offshore Wind Ready for Winter on...

    Energy Savers [EERE]

    Receive Energy Department Funding United States Launches First Grid-Connected Offshore Wind Turbine Mitigating Potential Environmental Impacts of Energy Development Project...

  6. Power Quality Aspects in a Wind Power Plant: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Butterfield, C. P.; Chacon, J.; Romanowitz, H.

    2006-01-01T23:59:59.000Z

    Although many operational aspects affect wind power plant operation, this paper focuses on power quality. Because a wind power plant is connected to the grid, it is very important to understand the sources of disturbances that affect the power quality.

  7. Previous Wind Power Announcements (generation/wind)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah ProjectPRE-AWARDenergyEnergytransmission-rates Sign In About |Wind

  8. Short-term Wind Power Prediction for Offshore Wind Farms -Evaluation of Fuzzy-Neural Network Based Models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Wind Power Prediction for Offshore Wind Farms - Evaluation of Fuzzy-Neural Network Based of offshore farms and their secure integration to the grid. Modeling the behavior of large wind farms presents the new considerations that have to be made when dealing with large offshore wind farms

  9. July 29th -30th 2010 1Integration of Wind Power in the Danish Energy System Integration of Wind Power in the Danish Energy System

    E-Print Network [OSTI]

    1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 MW Offshore Onshore Wind · Wind farms: · Grid codes ensure capability to regulate #12;July 29th - 30th 2010 9Integration of WindJuly 29th - 30th 2010 1Integration of Wind Power in the Danish Energy System Integration of Wind

  10. VOLTTRON - An Intelligent Agent Platform for the Smart Grid

    SciTech Connect (OSTI)

    None

    2013-10-23T23:59:59.000Z

    The distributed nature of the Smart Grid, such as responsive loads, solar and wind generation, and automation in the distribution system present a complex environment not easily controlled in a centralized manner.

  11. VOLTTRON - An Intelligent Agent Platform for the Smart Grid

    ScienceCinema (OSTI)

    None

    2014-06-12T23:59:59.000Z

    The distributed nature of the Smart Grid, such as responsive loads, solar and wind generation, and automation in the distribution system present a complex environment not easily controlled in a centralized manner.

  12. IEEE TRANSACTIONS ON SMART GRID, VOL. 0, NO. 0, MONTH YEAR 1 A Multi-timescale Scheduling Approach for

    E-Print Network [OSTI]

    Reisslein, Martin

    ://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TSG.2013.xxxxxxx reliability of power systems, since the precise balance integrating wind generation into the operations and planning of bulk power grids, in which wind generation for Stochastic Reliability in Smart Grids with Wind Generation and Opportunistic Demand Miao He, Student Member

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

    Energy Savers [EERE]

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

  14. Chapter 7: Model Grid Setup CAPS -ARPS Version 4.0 192

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    Chapter 7: Model Grid Setup CAPS - ARPS Version 4.0 192 7 Map Projection, Model Grid Setup and Grid Grid Setup CAPS - ARPS Version 4.0 195 of the map projection parameters being used can be retrieved. #12;Chapter 7: Model Grid Setup CAPS - ARPS Version 4.0 196 7.2.2. Map transformations Transformation

  15. NREL: Wind Research - NREL's Wind Technology Patents Boost Efficiency and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S. Wind

  16. WIND ENERGY Wind Energ. (2014)

    E-Print Network [OSTI]

    Peinke, Joachim

    2014-01-01T23:59:59.000Z

    loads from the wind inflow through rotor aerodynamics, drive train and power electronics is stillWIND ENERGY Wind Energ. (2014) Published online in Wiley Online Library (wileyonlinelibrary wind inflow conditions M. R. Luhur, J. Peinke, J. Schneemann and M. Wächter ForWind-Center for Wind

  17. Wind Turbine Modeling for Computational Fluid Dynamics: December 2010 - December 2012

    SciTech Connect (OSTI)

    Tossas, L. A. M.; Leonardi, S.

    2013-07-01T23:59:59.000Z

    With the shortage of fossil fuel and the increasing environmental awareness, wind energy is becoming more and more important. As the market for wind energy grows, wind turbines and wind farms are becoming larger. Current utility-scale turbines extend a significant distance into the atmospheric boundary layer. Therefore, the interaction between the atmospheric boundary layer and the turbines and their wakes needs to be better understood. The turbulent wakes of upstream turbines affect the flow field of the turbines behind them, decreasing power production and increasing mechanical loading. With a better understanding of this type of flow, wind farm developers could plan better-performing, less maintenance-intensive wind farms. Simulating this flow using computational fluid dynamics is one important way to gain a better understanding of wind farm flows. In this study, we compare the performance of actuator disc and actuator line models in producing wind turbine wakes and the wake-turbine interaction between multiple turbines. We also examine parameters that affect the performance of these models, such as grid resolution, the use of a tip-loss correction, and the way in which the turbine force is projected onto the flow field.

  18. Stretched-Grid Model Intercomparison Project

    E-Print Network [OSTI]

    Gruner, Daniel S.

    - Land-sea differences - Surface parameters Applications (besides regional climate variability and change, Russia #12;OUTLINE 1. INTRODUCTION: Exploring the variable- resolution stretched-grid approach (for grid- point models: Staniforth and Mitchell 1978, and for spectral models: Schmidt 1977) to regional climate

  19. Polish grid infrastructure for science and research

    E-Print Network [OSTI]

    Ryszard Gokieli; Krzysztof Nawrocki; Adam Padee; Dorota Stojda; Karol Wawrzyniak; Wojciech Wislicki

    2007-10-07T23:59:59.000Z

    Structure, functionality, parameters and organization of the computing Grid in Poland is described, mainly from the perspective of high-energy particle physics community, currently its largest consumer and developer. It represents distributed Tier-2 in the worldwide Grid infrastructure. It also provides services and resources for data-intensive applications in other sciences.

  20. Distributed Wind Energy in Idaho

    SciTech Connect (OSTI)

    Gardner, John; Ferguson, James; Ahmed-Zaid, Said; Johnson, Kathryn; Haynes, Todd; Bennett, Keith

    2009-01-31T23:59:59.000Z

    Project Objective: This project is a research and development program aimed at furthering distributed wind technology. In particular, this project addresses some of the barriers to distributed wind energy utilization in Idaho. Background: At its core, the technological challenge inherent in Wind Energy is the transformation of a highly variable form of energy to one which is compatible with the commercial power grid or another useful application. A major economic barrier to the success of distributed wind technology is the relatively high capital investment (and related long payback periods) associated with wind turbines. This project will carry out fundamental research and technology development to address both the technological and economic barriers. � Active drive train control holds the potential to improve the overall efficiency of a turbine system by allowing variable speed turbine operation while ensuring a tight control of generator shaft speed, thus greatly simplifying power conditioning. � Recent blade aerodynamic advancements have been focused on large, utility-scale wind turbine generators (WTGs) as opposed to smaller WTGs designed for distributed generation. Because of Reynolds Number considerations, blade designs do not scale well. Blades which are aerodynamically optimized for distributed-scale WTGs can potentially reduce the cost of electricity by increasing shaft-torque in a given wind speed. � Grid-connected electric generators typically operate at a fixed speed. If a generator were able to economically operate at multiple speeds, it could potentially convert more of the wind�s energy to electricity, thus reducing the cost of electricity. This research directly supports the stated goal of the Wind and Hydropower Technologies Program for Distributed Wind Energy Technology: By 2007, reduce the cost of electricity from distributed wind systems to 10 to 15 cents/kWh in Class 3 wind resources, the same level that is currently achievable in Class 5 winds.

  1. Solar Grid Integration Industrial Research Perspectives

    E-Print Network [OSTI]

    Homes, Christopher C.

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

  2. A survey on wind power ramp forecasting.

    SciTech Connect (OSTI)

    Ferreira, C.; Gama, J.; Matias, L.; Botterud, A.; Wang, J. (Decision and Information Sciences); (INESC Porto)

    2011-02-23T23:59:59.000Z

    The increasing use of wind power as a source of electricity poses new challenges with regard to both power production and load balance in the electricity grid. This new source of energy is volatile and highly variable. The only way to integrate such power into the grid is to develop reliable and accurate wind power forecasting systems. Electricity generated from wind power can be highly variable at several different timescales: sub-hourly, hourly, daily, and seasonally. Wind energy, like other electricity sources, must be scheduled. Although wind power forecasting methods are used, the ability to predict wind plant output remains relatively low for short-term operation. Because instantaneous electrical generation and consumption must remain in balance to maintain grid stability, wind power's variability can present substantial challenges when large amounts of wind power are incorporated into a grid system. A critical issue is ramp events, which are sudden and large changes (increases or decreases) in wind power. This report presents an overview of current ramp definitions and state-of-the-art approaches in ramp event forecasting.

  3. Improved Power Grid Stability and Efficiency with a Building-Energy Cyber-Physical System

    E-Print Network [OSTI]

    or stagnant winds to propel wind turbines). Dur- ing an episode, the power grid operators must contend of an 8-12 hour demand period. The primary power demand is often air conditioning. Efforts to balance1 Improved Power Grid Stability and Efficiency with a Building-Energy Cyber-Physical System Mary

  4. How Stochastic Network Calculus Concepts Help Green the Power Grid

    E-Print Network [OSTI]

    Low, Steven H.

    optimization techniques for hybrid PV/wind systems sizing have been proposed in the liter- ature [12 the feasibility of integrating solar photovoltaic (PV) panels and wind turbines into the grid. To deal into the power system of an island off the coast of Southern California. Performance of the hybrid system under

  5. Wind Power Integration via Aggregator-Consumer Coordination: A Game Theoretic Approach

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    the balance between load and generation in the power grid at all times [2]. Moreover, wind generation is nonWind Power Integration via Aggregator-Consumer Coordination: A Game Theoretic Approach Chenye Wu@ie.cuhk.edu.hk Abstract--Due to the stochastic nature of wind power, its large-scale integration into the power grid

  6. annual wind river: Topics by E-print Network

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

    with the strength of the interplanetary magnetic field (IMF) and the solar wind speed, respectively, because solar wind speed is the most important parameter driving...

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

    SciTech Connect (OSTI)

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

    2014-06-23T23:59:59.000Z

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

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

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

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

    2014-01-01T23:59:59.000Z

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

  9. Determination of wind from Nimbus-6 satellite sounding data

    E-Print Network [OSTI]

    Carle, William Everett

    1979-01-01T23:59:59.000Z

    -level and surface wind fields from Nimbus-6 satellite sounding data are developed. These methods are evaluated by comparing satellite-derived and rawinsonde wind fields on gridded constant-pressure charts in four geographical regions. Satellite... interpolated to correspond in time to the satellite pass. Wind direction was interpolated through the smaller angle. t. d ttt' fplt*t' l~h' ht dg t th' ' d Fields of geopotential height were computed from gridded satellite data by integrating...

  10. Turbulent Character of Wind Energy Patrick Milan, Matthias Wachter, and Joachim Peinke

    E-Print Network [OSTI]

    Peinke, Joachim

    that the grid dynamics in this time range become more complex. Smart grid concepts should be designed to cope cause a highly fluctuating electrical power feed into the grid. Such effects are the hallmark of high intermittent, peaked nature of wind power fed into the grid. Multifractal scaling is observed, as described

  11. Managing Wind Power Forecast Uncertainty in Electric Brandon Keith Mauch

    E-Print Network [OSTI]

    i Managing Wind Power Forecast Uncertainty in Electric Grids Brandon Keith Mauch Co for the modeled wind- CAES system would not cover annualized capital costs. We also estimate market prices-ahead market is roughly $100, with large variability due to electric power prices. Wind power forecast errors

  12. Development of Wind Turbines Prototyping Software Under Matlab/Simulink

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    204 1 Development of Wind Turbines Prototyping Software Under Matlab/Simulink® Through present the development of a wind turbine prototyping software under Matlab/Simulink® through and the end of 1999, around 75% of all new grid-connected wind turbines worldwide were installed in Europe [3

  13. Commonwealth Wind Commercial Wind Program

    Broader source: Energy.gov [DOE]

    Through the Commonwealth Wind Incentive Program – Commercial Wind Initiative the Massachusetts Clean Energy Center (MassCEC) offers site assessment grants of services, feasibility study grants, a...

  14. NREL: Transmission Grid Integration - Grid Simulation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecasting NREL researchersGrid

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

    E-Print Network [OSTI]

    Heinemann, Detlev

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

  16. A cyclic time-dependent Markov process to model daily patterns in wind turbine power production

    E-Print Network [OSTI]

    Scholz, Teresa; Estanqueiro, Ana

    2013-01-01T23:59:59.000Z

    Wind energy is becoming a top contributor to the renewable energy mix, which raises potential reliability issues for the grid due to the fluctuating nature of its source. To achieve adequate reserve commitment and to promote market participation, it is necessary to provide models that can capture daily patterns in wind power production. This paper presents a cyclic inhomogeneous Markov process, which is based on a three-dimensional state-space (wind power, speed and direction). Each time-dependent transition probability is expressed as a Bernstein polynomial. The model parameters are estimated by solving a constrained optimization problem: The objective function combines two maximum likelihood estimators, one to ensure that the Markov process long-term behavior reproduces the data accurately and another to capture daily fluctuations. A convex formulation for the overall optimization problem is presented and its applicability demonstrated through the analysis of a case-study. The proposed model is capable of r...

  17. Microsoft Word - DOE EA 1939-Final EA CCET Wind Energy at RTC...

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

    battery technology to improve grid performance and thereby aid in the integration of wind generation into the local electricity supply. CCET's proposed project is to support the...

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

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

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

  19. 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...

  20. 2012 Smart Grid Peer Review Presentations - Day 2 Smart Grid...

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

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

  1. NWTC Controllable Grid Interface (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-02-01T23:59:59.000Z

    NREL's Controllable Grid Interface tests wind turbines off-line from the grid, verifies compliance with standards, and provides grid operators with the performance information they need for a faction of the time and cost it would take to test the turbine in the field. To understand the behavior of wind turbines during grid disturbances, manufacturers and utility grid operators need to perform a series of tests and accurate transient simulation studies. The latest edition of the IEC 61400-21 standard describes methods for such tests that include low voltage ride-through (LVRT), active power set-point control, ramp rate limitations, and reactive power capability tests. The IEC methods are being widely adopted on both national and international levels by wind turbine manufacturers, certification authorities, and utilities. Utility operators also need to estimate how much power wind turbines might be able provide to help regulate grid frequency during situations when they need additional energy quickly, and after design modifications or changes are made to control software, manufacturers may be required to retest their turbines. But testing wind turbines in the field can be a lengthy and expensive process often requiring manufacturers and utility operators to send equipment and personnel to remote locations for long periods of time. NREL's National Wind Technology Center (NWTC) has developed a new Controllable Grid Interface (CGI) test system that can significantly reduce the time and cost required to conduct these tests. The CGI is first test facility in the United States that has fault simulation capabilities and allows manufacturers and system operators to conduct the tests required for certification in a controlled laboratory environment. It is the only system in the world that is fully integrated with two dynamometers and has the capacity to extend that integration to turbines in the field and to a matrix of electronic and mechanical storage devices, all of which are located within close proximity on the same site. NREL's 7.5 MVA CGI tests wind turbines off-line from the grid, verifies compliance with standards, and provides grid operators with the performance information they need for a fraction of the time and cost it would take to test the turbine in the field. The system combines hardware and real-time control software and is designed to operate with the NWTC's 2.5-MW dynamometer as well as the center's new 5-MW dynamometer test facilities. It is designed to work with four types of wind turbines, photovoltaic systems, and energy storage inverters. Results from the dynamometer tests can also be used to fine tune and validate the dynamic models used in integration studies and help industry improve turbine performance and develop test standards for renewable technologies and energy storage.

  2. Wind motor applications for transportation

    SciTech Connect (OSTI)

    Lysenko, G.P.; Grigoriev, B.V.; Karpin, K.B. [Moscow Aviation Inst. (Russian Federation)

    1996-12-31T23:59:59.000Z

    Motion equation for a vehicle equipped with a wind motor allows, taking into account the drag coefficients, to determine the optimal wind drag velocity in the wind motor`s plane, and hence, obtain all the necessary data for the wind wheel blades geometrical parameters definition. This optimal drag velocity significantly differs from the flow drag velocity which determines the maximum wind motor power. Solution of the motion equation with low drag coefficients indicates that the vehicle speed against the wind may be twice as the wind speed. One of possible transportation wind motor applications is its use on various ships. A ship with such a wind motor may be substantially easier to steer, and if certain devices are available, may proceed in autonomous control mode. Besides, it is capable of moving within narrow fairways. The cruise speed of a sailing boat and wind-motored ship were compared provided that the wind velocity direction changes along a harmonic law with regard to the motion direction. Mean dimensionless speed of the wind-motored ship appears to be by 20--25% higher than that of a sailing boat. There was analyzed a possibility of using the wind motors on planet rovers in Mars or Venus atmospheric conditions. A Mars rover power and motor system has been assessed for the power level of 3 kW.

  3. U.S. Department of Energy Wind and Water Power Program Funding...

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

    Title DOE Funding Amount Funding Source Project Location ABB, Inc. National Offshore Wind Energy Grid Interconnection Study 900,000 FY11: U.S. Offshore Wind: Removing Market...

  4. FUTURE POWER GRID INITIATIVE GridOPTICSTM

    E-Print Network [OSTI]

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

  5. WIND ENERGY Wind Energ. (2014)

    E-Print Network [OSTI]

    2014-01-01T23:59:59.000Z

    in the near wake. In conclusion, WiTTS performs satisfactorily in the rotor region of wind turbine wakes under neutral stability. Copyright © 2014 John Wiley & Sons, Ltd. KEYWORDS wind turbine wake; wake model; self in wind farms along several rows and columns. Because wind turbines generate wakes that propagate downwind

  6. Sandia National Laboratories: SMART Grid

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

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

  7. Sandia National Laboratories: Grid Integration

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

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

  8. Sandia National Laboratories: Grid Integration

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

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

  9. Sandia National Laboratories: SMART Grid

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

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

  10. Grid Logging: Best Practices Guide

    E-Print Network [OSTI]

    Tierney, Brian L

    2008-01-01T23:59:59.000Z

    Revision date: March 1, 2008 Grid Logging: Best Practicesis to help developers of Grid middleware and applicationlog files that will be useful to Grid administrators, users,

  11. Sandia National Laboratories: SMART Grid

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

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

  12. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

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

  13. Sandia National Laboratories: electric grid

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

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

  14. Smart Grid Overview

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

    Smart Grid Overview Ben Kroposki, PhD, PE Director, Energy Systems IntegraLon NaLonal Renewable Energy Laboratory What is t he S mart Grid? and DER Source: NISTEPRI Architecture...

  15. Fuel rod support grid

    DOE Patents [OSTI]

    Downs, Robert E. (Monroeville, PA); Schwallie, Ambrose L. (Greensburg, PA)

    1985-01-01T23:59:59.000Z

    A grid for the support of nuclear fuel rods arranged in a triangular array. The grid is formed by concentric rings of strap joined by radially arranged web sections.

  16. The soft grid

    E-Print Network [OSTI]

    Kardasis, Ari (Ari David)

    2011-01-01T23:59:59.000Z

    The grid in architecture is a systematic organization of space. The means that architects use to organize space are, almost by definition, rigid and totalizing. The Cartesian grid, which will serve as the antagonist of the ...

  17. Method of grid generation

    DOE Patents [OSTI]

    Barnette, Daniel W. (Veguita, NM)

    2002-01-01T23:59:59.000Z

    The present invention provides a method of grid generation that uses the geometry of the problem space and the governing relations to generate a grid. The method can generate a grid with minimized discretization errors, and with minimal user interaction. The method of the present invention comprises assigning grid cell locations so that, when the governing relations are discretized using the grid, at least some of the discretization errors are substantially zero. Conventional grid generation is driven by the problem space geometry; grid generation according to the present invention is driven by problem space geometry and by governing relations. The present invention accordingly can provide two significant benefits: more efficient and accurate modeling since discretization errors are minimized, and reduced cost grid generation since less human interaction is required.

  18. PERFORMANCE ENHANCEMENT OF WIND TURBINE POWER REGULATION BY SWITCHED LINEAR CONTROL

    E-Print Network [OSTI]

    Duffy, Ken

    PERFORMANCE ENHANCEMENT OF WIND TURBINE POWER REGULATION BY SWITCHED LINEAR CONTROL D.J.Leith W Power regulation of horizontal-axis grid-connected up-wind constant-speed pitch-regulated wind turbines ENHANCEMENT OF WIND TURBINE POWER REGULATION BY SWITCHED LINEAR CONTROL D.J.Leith W.E.Leithead Department

  19. How to improve the design of the electrical system in future wind power plants

    E-Print Network [OSTI]

    Bak, Claus Leth

    . Two of the Ph.D. projects focus specifically to offshore wind farms and full- scale converter wind known to appear in the collection grid of offshore wind farms. The academic and industrial partners Farms will provide in-depth knowledge of all relevant aspects related to harmonics in offshore wind

  20. The Great Plains Wind Power Test Facility

    SciTech Connect (OSTI)

    Schroeder, John

    2014-01-31T23:59:59.000Z

    This multi-year, multi-faceted project was focused on the continued development of a nationally-recognized facility for the testing, characterization, and improvement of grid-connected wind turbines, integrated wind-water desalination systems, and related educational and outreach topics. The project involved numerous faculty and graduate students from various engineering departments, as well as others from the departments of Geosciences (in particular the Atmospheric Science Group) and Economics. It was organized through the National Wind Institute (NWI), which serves as an intellectual hub for interdisciplinary and transdisciplinary research, commercialization and education related to wind science, wind energy, wind engineering and wind hazard mitigation at Texas Tech University (TTU). Largely executed by an academic based team, the project resulted in approximately 38 peer-reviewed publications, 99 conference presentations, the development/expansion of several experimental facilities, and two provisional patents.

  1. Wind and saltation driven particle resuspension in a wind tunnel

    SciTech Connect (OSTI)

    Fairchild, C.I.; Tillery, M.I.; Wheat, L.D.; Redmond, D.J.

    1985-01-01T23:59:59.000Z

    To determine parameters of primary importance in wind and saltation driven resuspension of fine particles from surfaces, wind tunnel experiments were conducted to study the resuspension of small polydisperse particles (diameter <10 ..mu..m) by monodisperse saltation particles (diameter >80 ..mu..m). The experiments were designed to simulate the atmospheric boundary layer resuspension of fine particles. 3 refs., 1 tab.

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

    SciTech Connect (OSTI)

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

    2012-03-01T23:59:59.000Z

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

  3. Modeling Smart Grid using Generalized Stochastic Petri Net

    E-Print Network [OSTI]

    Dey, Amrita; Sanyal, Sugata

    2011-01-01T23:59:59.000Z

    Building smart grid for power system is a major challenge for safe, automated and energy efficient usage of electricity. The full implementation of the smart grid will evolve over time. However, before a new set of infrastructures are invested to build the smart grid, proper modeling and analysis is needed to avoid wastage of resources. Modeling also helps to identify and prioritize appropriate systems parameters. In this paper, an all comprehensive model of smart grid have been proposed using Generalized Stochastic Petri Nets (GSPN). The model is used to analyze the constraints and deliverables of the smart power grid of future.

  4. Wind Farm

    Office of Energy Efficiency and Renewable Energy (EERE)

    The wind farm in Greensburg, Kansas, was completed in spring 2010, and consists of ten 1.25 megawatt (MW) wind turbines that supply enough electricity to power every house, business, and municipal...

  5. Wind Turbine Basics | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind IndustryWindWindWind»

  6. 1/12/14 World's Smallest "Micro" Wind Turbine Can Charge Your Smartphone & Power Your Home www.offgridworld.com/worlds-smallest-micro-wind-turbine-can-charge-your-smartphone-power-your-home/ 1/3

    E-Print Network [OSTI]

    Chiao, Jung-Chih

    .offgridworld.com/worlds-smallest-micro-wind-turbine-can-charge-your-smartphone-power-your-home/ 1/3 Off Grid World Living Off The Grid Leave a Commentby Off Grid World on January 11, 2014 World's Smallest "Micro smartphone. How cool is this? Imagine the applications for something like this for off grid use. Imagine

  7. Wind Energy

    Broader source: Energy.gov [DOE]

    Presentation covers wind energy at the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009.

  8. NREL: Wind Research - Small Wind Turbine Independent Testing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6Site Wind

  9. NREL: Wind Research - Utility-Scale Wind Turbine Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6SiteUtility-Scale Wind

  10. NREL: Wind Research - Wind and Water Power Fact Sheets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6SiteUtility-ScaleWind

  11. Understanding The Smart Grid

    SciTech Connect (OSTI)

    NONE

    2007-11-15T23:59:59.000Z

    The report provides an overview of what the Smart Grid is and what is being done to define and implement it. The electric industry is preparing to undergo a transition from a centralized, producer-controlled network to a decentralized, user-interactive one. Not only will the technology involved in the electric grid change, but the entire business model of the industry will change too. A major objective of the report is to identify the changes that the Smart Grid will bring about so that industry participants can be prepared to face them. A concise overview of the development of the Smart Grid is provided. It presents an understanding of what the Smart Grid is, what new business opportunities or risks might come about due to its introduction, and what activities are already taking place regarding defining or implementing the Smart Grid. This report will be of interest to the utility industry, energy service providers, aggregators, and regulators. It will also be of interest to home/building automation vendors, information technology vendors, academics, consultants, and analysts. The scope of the report includes an overview of the Smart Grid which identifies the main components of the Smart Grid, describes its characteristics, and describes how the Smart Grid differs from the current electric grid. The overview also identifies the key concepts involved in the transition to the Smart Grid and explains why a Smart Grid is needed by identifying the deficiencies of the current grid and the need for new investment. The report also looks at the impact of the Smart Grid, identifying other industries which have gone through a similar transition, identifying the overall benefits of the Smart Grid, and discussing the impact of the Smart Grid on industry participants. Furthermore, the report looks at current activities to implement the Smart Grid including utility projects, industry collaborations, and government initiatives. Finally, the report takes a look at key technology providers involved in the Smart Grid and provides profiles on them including contact information, company overviews, technology reviews, and key Smart Grid activities.

  12. Wind Power Forecasting Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind Industry

  13. Wind | ornl.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of2 BONNEVILLE POWERWind SHARE Wind

  14. North RTL grid scan'' studies

    SciTech Connect (OSTI)

    Emma, P.

    1990-10-17T23:59:59.000Z

    This study was made in response to screen measurements which indicated an emittance growth of nearly a factor of two within the North RTL or linac girder-1. Betatron oscillations are induced at the beginning of the North RTL to search for gross geometric aberrations arising within the RTL or sector-2 of the linac. The oscillations are induced horizontally and vertically with two X or two Y dipole correctors stepped in a nested loop fashion. In both cases the full set of RTL and first girder sector-2 linac beam position monitors (BPMs) are sampled in X and Y for each corrector setting. Horizontal (or vertical) data from pairs of BPMs are then transformed to phase space coordinates by the linear transformation constructed assuming the transport optics between the BPMs is known. A second transformation is then made to normalized phase space coordinates by using Twiss parameters consistent with the assumed transport optics. By careful choice of initial Twiss parameters the initial grid can be made square for convenience in graphical interpretation. A linear grid'' is then fitted to the transformed data points for each pair of BPMs. The area of each grid is calculated and linearity qualitatively evaluated. Furthermore, although not the focus of this study, the beta match at each BPM can be quantified. 6 figs.

  15. Characteristics of Wind Turbines Under Normal and Fault Conditions: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Butterfield, C. P.; Parsons, B.; Ellis, A.

    2007-02-01T23:59:59.000Z

    This paper investigates the characteristics of a variable-speed wind turbine connected to a stiff or weak grid under normal and fault conditions and the role of reactive power compensation.

  16. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    the risk of default on power purchase contracts [being] oneon Supervision of Power-Grid Enterprise Purchases of Fullgrid companies purchase wind power at the price fixed by the

  17. Small Wind Electric Systems: A Maryland Consumer's Guide (Revised)

    SciTech Connect (OSTI)

    Not Available

    2009-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Maryland Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a regional wind resource map and a list of incentives and contacts for more information.

  18. Small Wind Electric Systems: A Pennsylvania Consumer's Guide (Revised)

    SciTech Connect (OSTI)

    Not Available

    2004-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Pennsylvania Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a regional wind resource map and a list of incentives and contacts for more information.

  19. Small Wind Electric Systems: A New York Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-02-01T23:59:59.000Z

    Small Wind Electric Systems: A New York Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a regional wind resource map and a list of incentives and contacts for more information.

  20. Small Wind Electric Systems: A Montana Consumer's Guide (Revised)

    SciTech Connect (OSTI)

    Not Available

    2004-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Montana Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a regional wind resource map and a list of incentives and contacts for more information.

  1. Small Wind Electric Systems: An Idaho Consumer's Guide (Revised)

    SciTech Connect (OSTI)

    Not Available

    2004-08-01T23:59:59.000Z

    Small Wind Electric Systems: An Idaho Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a regional wind resource map and a list of incentives and contacts for more information.

  2. Small Wind Electric Systems: A Maryland Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2004-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Maryland Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a regional wind resource map and a list of incentives and contacts for more information.

  3. Small Wind Electric Systems: A New Mexico Consumer's Guide (Revised)

    SciTech Connect (OSTI)

    Not Available

    2004-08-01T23:59:59.000Z

    Small Wind Electric Systems: A New Mexico Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a regional wind resource map and a list of incentives and contacts for more information.

  4. Small Wind Electric Systems: An Oregon Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: An Oregon Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a regional wind resource map and a list of incentives and contacts for more information.

  5. Active Power Control Testing at the U.S. National Wind Technology Center (NWTC) (Presentation)

    SciTech Connect (OSTI)

    Ela, E.

    2011-01-01T23:59:59.000Z

    In order to keep the electricity grid stable and the lights on, the power system relies on certain responses from its generating fleet. This presentation evaluates the potential for wind turbines and wind power plants to provide these services and assist the grid during critical times.

  6. Wind Power (pbl/generation)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind Industry SoarsWind

  7. LCL Filter Design and Performance Analysis for Grid Interconnected Systems , M.Godoy Simes*

    E-Print Network [OSTI]

    Simões, Marcelo Godoy

    , solar, or even a hydrogen-based fuel cell to the utility grid. A LCL filter is often used for non- galvanic isolated inverters, suitable for wind energy or photovoltaic applications. Two

  8. Designs for ultra-high efficiency grid-connected power conversion

    E-Print Network [OSTI]

    Pierquet, Brandon J. (Brandon Joseph)

    2011-01-01T23:59:59.000Z

    Grid connected power conversion is an absolutely critical component of many established and developing industries, such as information technology, telecommunications, renewable power generation (e.g. photovoltaic and wind), ...

  9. Grid Transformation Workshop

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

    3-03-Grid-Transformation-Workshop Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects &...

  10. Sandia National Laboratories: main parameter determining laminate...

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

    parameter determining laminate fatigue lifetime is the cumulative time under load New Material Tests Show Biaxial Laminate Creep Is Important for Large Wind-Turbine Blades On...

  11. National Wind Technology Center Dynamic 5-Megawatt Dynamometer

    ScienceCinema (OSTI)

    Felker, Fort

    2014-06-10T23:59:59.000Z

    The National Wind Technology Center (NWTC) offers wind industry engineers a unique opportunity to conduct a wide range of tests. Its custom-designed dynamometers can test wind turbine systems from 1 kilowatt (kW) to 5 megawatts (MW). The NWTC's new dynamometer facility simulates operating field conditions to assess the reliability and performance of wind turbine prototypes and commercial machines, thereby reducing deployment time, failures, and maintenance or replacement costs. Funded by the U.S. Department of Energy with American Recovery and Reinvestment Act (ARRA) funds, the 5-MW dynamometer will provide the ability to test wind turbine drivetrains and connect those drivetrains directly to the electricity grid or through a controllable grid interface (CGI). The CGI tests the low-voltage ride-through capability of a drivetrain as well as its response to faults and other abnormal grid conditions.

  12. The Western Wind and Solar Integration Study Phase 2

    SciTech Connect (OSTI)

    Lew, D.; Brinkman, G.; Ibanez, E.; Hodge, B. M.; Hummon, M.; Florita, A.; Heaney, M.

    2013-09-01T23:59:59.000Z

    The electric grid is a highly complex, interconnected machine, and changing one part of the grid can have consequences elsewhere. Adding wind and solar affects the operation of the other power plants and adding high penetrations can induce cycling of fossil-fueled generators. Cycling leads to wear-and-tear costs and changes in emissions. Phase 2 of the Western Wind and Solar Integration Study (WWSIS-2) evaluated these costs and emissions and simulated grid operations for a year to investigate the detailed impact of wind and solar on the fossil-fueled fleet. This built on Phase 1, one of the largest wind and solar integration studies ever conducted, which examined operational impacts of high wind and solar penetrations in the West.

  13. National Wind Technology Center Dynamic 5-Megawatt Dynamometer

    SciTech Connect (OSTI)

    Felker, Fort

    2013-11-13T23:59:59.000Z

    The National Wind Technology Center (NWTC) offers wind industry engineers a unique opportunity to conduct a wide range of tests. Its custom-designed dynamometers can test wind turbine systems from 1 kilowatt (kW) to 5 megawatts (MW). The NWTC's new dynamometer facility simulates operating field conditions to assess the reliability and performance of wind turbine prototypes and commercial machines, thereby reducing deployment time, failures, and maintenance or replacement costs. Funded by the U.S. Department of Energy with American Recovery and Reinvestment Act (ARRA) funds, the 5-MW dynamometer will provide the ability to test wind turbine drivetrains and connect those drivetrains directly to the electricity grid or through a controllable grid interface (CGI). The CGI tests the low-voltage ride-through capability of a drivetrain as well as its response to faults and other abnormal grid conditions.

  14. Exploiting the Computational Grid Lecture 1 Globus and the Grid

    E-Print Network [OSTI]

    Exploiting the Computational Grid Lecture 1 ­ Globus and the Grid · The grid needs middleware to enable things such as logins etc · The toolkit model for the grid is to define a set of standards for the grid and then develop applications on top. The low level stuff is then hidden from the user · Globus

  15. Mapping Unstructured Grids to Structured Grids and Multigrid

    E-Print Network [OSTI]

    Chapter 4 Mapping Unstructured Grids to Structured Grids and Multigrid Many problems based solution is to map the unstructured grid onto a structured grid and then apply multigrid to a sequence). We 65 #12; CHAPTER 4. MAPPING UNSTRUCTURED GRIDS 66 show that unless great care is taken

  16. Main Coast Winds - Final Scientific Report

    SciTech Connect (OSTI)

    Jason Huckaby; Harley Lee

    2006-03-15T23:59:59.000Z

    The Maine Coast Wind Project was developed to investigate the cost-effectiveness of small, distributed wind systems on coastal sites in Maine. The restructuring of Maine's electric grid to support net metering allowed for the installation of small wind installations across the state (up to 100kW). The study performed adds insight to the difficulties of developing cost-effective distributed systems in coastal environments. The technical hurdles encountered with the chosen wind turbine, combined with the lower than expected wind speeds, did not provide a cost-effective return to make a distributed wind program economically feasible. While the turbine was accepted within the community, the low availability has been a negative.

  17. Method and apparatus for wind turbine braking

    DOE Patents [OSTI]

    Barbu, Corneliu (Laguna Hills, CA); Teichmann, Ralph (Nishkayuna, NY); Avagliano, Aaron (Houston, TX); Kammer, Leonardo Cesar (Niskayuna, NY); Pierce, Kirk Gee (Simpsonville, SC); Pesetsky, David Samuel (Greenville, SC); Gauchel, Peter (Muenster, DE)

    2009-02-10T23:59:59.000Z

    A method for braking a wind turbine including at least one rotor blade coupled to a rotor. The method includes selectively controlling an angle of pitch of the at least one rotor blade with respect to a wind direction based on a design parameter of a component of the wind turbine to facilitate reducing a force induced into the wind turbine component as a result of braking.

  18. 2008 WIND TECHNOLOGIES MARKET REPORT

    SciTech Connect (OSTI)

    Wiser, Ryan H.; Bolinger, Mark; Barbose, G.; Mills, A.; Rosa, A.; Porter, K.; Fink, S.; Tegen, S.; Musial, W.; Oteri, F.; Heimiller, D.; Rberts, B.; Belyeu, K.; Stimmel, R.

    2009-07-15T23:59:59.000Z

    The U.S. wind industry experienced a banner year in 2008, again surpassing even optimistic growth projections from years past. At the same time, the last year has been one of upheaval, with the global financial crisis impacting near-term growth prospects for the wind industry, and with federal policy changes enacted to push the industry towards continued aggressive expansion. This rapid pace of development has made it difficult to keep up with trends in the marketplace. Yet, the need for timely, objective information on the industry and its progress has never been greater. This report - the third of an ongoing annual series - attempts to meet this need by providing a detailed overview of developments and trends in the U.S. wind power market, with a particular focus on 2008. As with previous editions, this report begins with an overview of key wind power installation-related trends: trends in wind capacity growth in the U.S., how that growth compares to other countries and generation sources, the amount and percentage of wind in individual states and serving specific utilities, and the quantity of proposed wind capacity in various interconnection queues in the United States. Next, the report covers an array of wind industry trends, including developments in turbine manufacturer market share, manufacturing and supply-chain investments, wind turbine and wind project size, project financing developments, and trends among wind power developers, project owners, and power purchasers. The report then turns to a discussion of wind project price, cost, and performance trends. In so doing, it reviews the price of wind power in the United States, and how those prices compare to the cost of fossil-fueled generation, as represented by wholesale power prices. It also describes trends in installed wind project costs, wind turbine transaction prices, project performance, and operations and maintenance expenses. Next, the report examines other policy and market factors impacting the domestic wind power market, including federal and state policy drivers, transmission issues, and grid integration. Finally, the report concludes with a preview of possible near- to medium-term market developments. This version of the Annual Report updates data presented in the previous editions, while highlighting key trends and important new developments from 2008. New to this edition is an executive summary of the report and an expanded final section on near- to medium-term market development. The report concentrates on larger-scale wind applications, defined here as individual turbines or projects that exceed 50 kW in size. The U.S. wind power sector is multifaceted, however, and also includes smaller, customer-sited wind turbines used to power the needs of residences, farms, and businesses. Data on these applications are not the focus of this report, though a brief discussion on Distributed Wind Power is provided on page 4. Much of the data included in this report were compiled by Berkeley Lab, and come from a variety of sources, including the American Wind Energy Association (AWEA), the Energy Information Administration (EIA), and the Federal Energy Regulatory Commission (FERC). The Appendix provides a summary of the many data sources used in the report. Data on 2008 wind capacity additions in the United States are based on information provided by AWEA; some minor adjustments to those data may be expected. In other cases, the data shown here represent only a sample of actual wind projects installed in the United States; furthermore, the data vary in quality. As such, emphasis should be placed on overall trends, rather than on individual data points. Finally, each section of this document focuses on historical market information, with an emphasis on 2008; with the exception of the final section, the report does not seek to forecast future trends.

  19. Grid Architecture William E. Johnston

    E-Print Network [OSTI]

    Grid Architecture William E. Johnston Lawrence Berkeley National Lab and NASA Ames Research Center wejohnston@lbl.gov (These slides are available at grid.lbl.gov/~wej/Grids) #12;Distributed Resources Condor Internet optical networks space-based networks Grid Communication Functions Communications BasicGrid

  20. Abstract--This paper discusses using the battery energy storage system (BESS) to mitigate wind power intermittency, so

    E-Print Network [OSTI]

    Peng, Huei

    to compensate for wind power forecast errors and minimize operation costs to the wind farm owner. A ramp rate wholesale market and grid operators, in that wind power outputs are intermittent, which may increase demands power intermittency, so that wind power can be dispatchable on an hourly basis like fossil fuel power

  1. TMCC WIND RESOURCE ASSESSMENT

    SciTech Connect (OSTI)

    Turtle Mountain Community College

    2003-12-30T23:59:59.000Z

    North Dakota has an outstanding resource--providing more available wind for development than any other state. According to U.S. Department of Energy (DOE) studies, North Dakota alone has enough energy from good wind areas, those of wind power Class 4 and higher, to supply 36% of the 1990 electricity consumption of the entire lower 48 states. At present, no more than a handful of wind turbines in the 60- to 100-kilowatt (kW) range are operating in the state. The first two utility-scale turbines were installed in North Dakota as part of a green pricing program, one in early 2002 and the second in July 2002. Both turbines are 900-kW wind turbines. Two more wind turbines are scheduled for installation by another utility later in 2002. Several reasons are evident for the lack of wind development. One primary reason is that North Dakota has more lignite coal than any other state. A number of relatively new minemouth power plants are operating in the state, resulting in an abundance of low-cost electricity. In 1998, North Dakota generated approximately 8.2 million megawatt-hours (MWh) of electricity, largely from coal-fired plants. Sales to North Dakota consumers totaled only 4.5 million MWh. In addition, the average retail cost of electricity in North Dakota was 5.7 cents per kWh in 1998. As a result of this surplus and the relatively low retail cost of service, North Dakota is a net exporter of electricity, selling approximately 50% to 60% of the electricity produced in North Dakota to markets outside the state. Keeping in mind that new electrical generation will be considered an export commodity to be sold outside the state, the transmission grid that serves to export electricity from North Dakota is at or close to its ability to serve new capacity. The markets for these resources are outside the state, and transmission access to the markets is a necessary condition for any large project. At the present time, technical assessments of the transmission network indicate that the ability to add and carry wind capacity outside of the state is limited. Identifying markets, securing long-term contracts, and obtaining a transmission path to export the power are all major steps that must be taken to develop new projects in North Dakota.

  2. Smart Grid: Transforming the Electric System

    SciTech Connect (OSTI)

    Widergren, Steven E.

    2010-04-13T23:59:59.000Z

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

  3. Impact of Increasing Distributed Wind Power and Wind Turbine Siting on Rural Distribution Feeder Voltage Profiles: Preprint

    SciTech Connect (OSTI)

    Allen, A.; Zhang, Y. C.; Hodge, B. M.

    2013-09-01T23:59:59.000Z

    Many favorable wind energy resources in North America are located in remote locations without direct access to the transmission grid. Building transmission lines to connect remotely-located wind power plants to large load centers has become a barrier to increasing wind power penetration in North America. By connecting utility-sized megawatt-scale wind turbines to the distribution system, wind power supplied to consumers could be increased greatly. However, the impact of including megawatt-scale wind turbines on distribution feeders needs to be studied. The work presented here examined the impact that siting and power output of megawatt-scale wind turbines have on distribution feeder voltage. This is the start of work to present a general guide to megawatt-scale wind turbine impact on the distribution feeder and finding the amount of wind power that can be added without adversely impacting the distribution feeder operation, reliability, and power quality.

  4. Sandia Energy - Smart Grid Tools and Technology

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

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

  5. The stellar wind velocity field of HD 77581

    E-Print Network [OSTI]

    Manousakis, A

    2015-01-01T23:59:59.000Z

    The early acceleration of stellar winds in massive stars is poorly constrained. The scattering of hard X-ray photons emitted by the pulsar in the high-mass X-ray binary Vela X-1 can be used to probe the stellar wind velocity and density profile close to the surface of its supergiant companion HD 77581. We built a high signal-to-noise and high resolution hard X-ray lightcurve of Vela X-1 measured by Swift/BAT over 300 orbital periods of the system and compared it with the predictions of a grid of hydrodynamic simulations. We obtain a very good agreement between observations and simulations for a narrow set of parameters, implying that the wind velocity close to the stellar surface is twice larger than usually assumed with the standard beta law. Locally a velocity gradient of $\\beta\\sim0.5$ is favoured. Even if still incomplete, hydrodynamic simulations are successfully reproducing several observational properties of Vela X-1.

  6. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

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

  7. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

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

  8. Eastern Seaboard Electric Grid Fragility Maps Supporting Persistent Availability

    SciTech Connect (OSTI)

    Walker, Kimberly A [ORNL; Weigand, Gilbert G [ORNL; Fernandez, Steven J [ORNL

    2012-11-01T23:59:59.000Z

    Persistently available power transmission can be disrupted by weather causing power outages with economic and social consequences. This research investigated the effects on the national power grid from a specific weather event, Hurricane Irene, that caused approximately 5.7 million customer power outages along the Eastern Seaboard in August of 2011. The objective was to describe the geographic differences in the grid s vulnerability to these events. Individual factors, such as wind speed or precipitation, were correlated with the number of outages to determine the greatest mechanism of power failure in hopes of strengthening the future power grid. The resulting fragility maps not only depicted 18 counties that were less robust than the design-standard robustness model and three counties that were more robust, but also drew new damage contours with correlated wind speeds and county features.

  9. Small Wind Electric Systems: A U.S. Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: A U.S. Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  10. Small Wind Electric Systems: A South Dakota Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-04-01T23:59:59.000Z

    Small Wind Electric Systems: A South Dakota Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  11. Small Wind Electric Systems: An Alaska Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-04-01T23:59:59.000Z

    Small Wind Electric Systems: An Alaska Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  12. Small Wind Electric Systems: A Hawaii Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Hawaii Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  13. Small Wind Electric Systems: A Vermont Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-04-01T23:59:59.000Z

    Small Wind Electric Systems: A Vermont Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  14. Small Wind Electric Systems: A Maryland Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-01-01T23:59:59.000Z

    Small Wind Electric Systems: A Maryland Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  15. Small Wind Electric Systems: A Washington Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Washington Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  16. Small Wind Electric Systems: A North Dakota Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-04-01T23:59:59.000Z

    Small Wind Electric Systems: A North Dakota Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  17. Small Wind Electric Systems: A Minnesota Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-04-01T23:59:59.000Z

    Small Wind Electric Systems: A Minnesota Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  18. Small Wind Electric Systems: An Illinois Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-04-01T23:59:59.000Z

    Small Wind Electric Systems: An Illinois Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  19. Small Wind Electric Systems: A Pennsylvania Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Pennsylvania Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  20. Small Wind Electric Systems: A Maine Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Maine Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  1. Small Wind Electric Systems: A Montana Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Montana Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  2. Small Wind Electric Systems: A Colorado Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2006-12-01T23:59:59.000Z

    Small Wind Electric Systems: A Colorado Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  3. Small Wind Electric Systems: A Kansas Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Kansas Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  4. Small Wind Electric Systems: A Michigan Consumer's Guide (revised)

    SciTech Connect (OSTI)

    Not Available

    2007-01-01T23:59:59.000Z

    Small Wind Electric Systems: A Michigan Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  5. Small Wind Electric Systems: A U.S. Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: A U.S. Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  6. Small Wind Electric Systems: A Utah Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: A Utah Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  7. Small Wind Electric Systems: An Ohio Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: An Ohio Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  8. Small Wind Electric Systems: A Michigan Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: A Michigan Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  9. Small Wind Electric Systems: A Nevada Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: A Nevada Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  10. Small Wind Electric Systems: A Nebraska Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-12-01T23:59:59.000Z

    Small Wind Electric Systems: A Nebraska Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  11. Small Wind Electric Systems: A North Carolina Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: A North Carolina Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  12. Small Wind Electric Systems: An Oklahoma Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: An Oklahoma Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  13. Small Wind Electric Systems: A Missouri Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: A Missouri Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  14. Small Wind Electric Systems: A Hawaii Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: A Hawaii Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  15. Small Wind Electric Systems: An Indiana Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2005-03-01T23:59:59.000Z

    Small Wind Electric Systems: An Indiana Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  16. Small Wind Electric Systems: A Virginia Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-01-01T23:59:59.000Z

    Small Wind Electric Systems: A Virginia Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  17. Small Wind Electric Systems: A Montana Consumer's Guide (Revised)

    SciTech Connect (OSTI)

    Not Available

    2006-04-01T23:59:59.000Z

    Small Wind Electric Systems: A Montana Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  18. Small Wind Electric Systems: An Ohio Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: An Ohio Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  19. Small Wind Electric Systems: An Oklahoma Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: An Oklahoma Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  20. Small Wind Electric Systems: A Utah Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: A Utah Consumer's Guide provides Utah consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  1. Small Wind Electric Systems: An Oregon Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-08-01T23:59:59.000Z

    Small Wind Electric Systems: An Oregon Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  2. Rotationally sampled wind characteristics and correlations with MOD-OA wind turbine response

    SciTech Connect (OSTI)

    George, R.L.; Connell, J.R.

    1984-09-01T23:59:59.000Z

    This report presents results of a comprehensive wind and wind turbine measurement program: the Clayton, New Mexico, vertical plane array/MOD-OA project. In this experiment, the turbulent wind was measured for a large array of fixed anemometers located two blade diameters upwind of a 200-kW horizontal-axis wind turbine (HAWT). Simultaneously, key wind turbine response parameters were also measured. The first of two major objectives of this experiment was to determine the turbulent wind, rotationally sampled to emulate the motion of the wind turbine blade, for the range of different wind speeds and stability classes actually experienced by the wind turbine. The second major objective was to correlate this rotationally sampled wind with the wind turbine blade stress and power, in order to assess the usefulness of the wind measurements for wind turbine loads testing a prediction. Time series of rotationally sampled winds and wind turbine blade bending moments and power were converted to frequency spectra using Fourier transform techniques. These spectra were used as the basis for both qualitative and quantitative comparisons among the various cases. A quantitative comparison between the rotationally sampled wind input and blade bending response was made, using the Fourier spectra to estimate the blade transfer function. These transfer functions were then used to calculate an approximate damping coefficient for the MOD-OA fiberglass blade.

  3. Smart Grid | Department of Energy

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

    Meters, Conductor, Surge Protection Devices, Connectors, Lighting Controls, Grid-Scale Battery Storage, Grid-Scale Flywheel Energy for Frequency Regulation, Automation...

  4. Sandia National Laboratories: Grid Integration

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

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

  5. Sandia National Laboratories: grid modernization

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

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

  6. Sandia National Laboratories: SMART Grid

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

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

  7. Sandia National Laboratories: Grid Integration

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

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

  8. Sandia National Laboratories: SMART Grid

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

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

  9. Sandia National Laboratories: Grid Capabilities

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

    InfrastructureEnergy AssuranceGrid Capabilities Grid Capabilities Goal: To develop and implement a comprehensive Sandia program to support the modernization of the U.S. electric...

  10. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

    The Offshore Wind Power USA conference provides the latest offshore wind market updates and forecasts.

  11. Ris-R-1334(EN) Identification of Damage to Wind

    E-Print Network [OSTI]

    Risø-R-1334(EN) Identification of Damage to Wind Turbine Blades by Modal Parameter Estimation April 2002 #12;Risø-R-1334(EN) Identification of Damage to Wind Turbine Blades by Modal Parameter condition monitoring of wind turbine blades (Phase I)". The goal of Phase I is to make a pre

  12. Test Cases for Wind Power Plant Dynamic Models on Real-Time Digital Simulator: Preprint

    SciTech Connect (OSTI)

    Singh, M.; Muljadi, E.; Gevorgian, V.

    2012-06-01T23:59:59.000Z

    The objective of this paper is to present test cases for wind turbine generator and wind power plant models commonly used during commissioning of wind power plants to ensure grid integration compatibility. In this paper, different types of wind power plant models based on the Western Electricity Coordinating Council Wind Generator Modeling Group's standardization efforts are implemented on a real-time digital simulator, and different test cases are used to gauge their grid integration capability. The low-voltage ride through and reactive power support capability and limitations of wind turbine generators under different grid conditions are explored. Several types of transient events (e.g., symmetrical and unsymmetrical faults, frequency dips) are included in the test cases. The differences in responses from different types of wind turbine are discussed in detail.

  13. Wind Farm Monitoring at Lake Benton II Wind Power Project - Equipment Only: Cooperative Research and Development Final Report, CRADA Number CRD-08-275

    SciTech Connect (OSTI)

    Gevorgian, V.

    2014-06-01T23:59:59.000Z

    Long-term, high-resolution wind turbine and wind power plant output data are important to assess the impact of wind power on grid operations and to derive meaningful statistics for better understanding of the variability nature of wind power. These data are used for many research and analyses activities consistent with the Wind Program mission: Establish a database of long-term wind power similar to other long-term renewable energy resource databases (e.g. solar irradiance and hydrology); produce meaningful statistics about long-term variation of wind power, spatial and temporal diversity of wind power, and the correlation of wind power, other renewable energy resources, and utility load; provide high quality, realistic wind power output data for system operations impact studies and wind plant and forecasting model validation.

  14. 20% Wind Energy 20% Wind Energy

    E-Print Network [OSTI]

    Powell, Warren B.

    (government, industry, utilities, NGOs) Analyzes wind's potential contributions to energy security, economic · Transmission a challenge #12;Wind Power Class Resource Potential Wind Power Density at 50 m W/m 2 Wind Speed20% Wind Energy by 2030 20% Wind Energy by 2030 #12;Presentation and Objectives Overview Background

  15. Wind Energy Leasing Handbook

    E-Print Network [OSTI]

    Balasundaram, Balabhaskar "Baski"

    Wind Energy Leasing Handbook Wind Energy Leasing Handbook E-1033 Oklahoma Cooperative Extension?..................................................................................................................... 31 What do wind developers consider in locating wind energy projects?............................................................................................ 37 How do companies and individuals invest in wind energy projects?....................................................................

  16. Is the Weibull distribution really suited for wind statistics modeling and wind power evaluation?

    E-Print Network [OSTI]

    Drobinski, Philippe

    2012-01-01T23:59:59.000Z

    Wind speed statistics is generally modeled using the Weibull distribution. This distribution is convenient since it fully characterizes analytically with only two parameters (the shape and scale parameters) the shape of distribution and the different moments of the wind speed (mean, standard deviation, skewness and kurtosis). This distribution is broadly used in the wind energy sector to produce maps of wind energy potential. However, the Weibull distribution is based on empirical rather than physical justification and might display strong limitations for its applications. The philosophy of this article is based on the modeling of the wind components instead of the wind speed itself. This provides more physical insights on the validity domain of the Weibull distribution as a possible relevant model for wind statistics and the quantification of the error made by using such a distribution. We thereby propose alternative expressions of more suited wind speed distribution.

  17. Ris-R-Report Urban Wind Energy-State of the Art 2009

    E-Print Network [OSTI]

    . Within the area of urban wind energy, different applications are to be distinguished. The main groups-R-1668(EN) 1 INTRODUCTION Wind energy in urban areas is a new area and a rather blank page concerning the energy to the grid and reduction of transmission loss. Within the area of urban wind energy, different

  18. Model Wind over the Central and Southern California Coastal Ocean HSIAO-MING HSU

    E-Print Network [OSTI]

    Model Wind over the Central and Southern California Coastal Ocean HSIAO-MING HSU National Center of high-resolution wind in coastal ocean modeling. This paper tests the Coupled Ocean­Atmosphere Mesoscale Prediction System (COAMPS) at the 9-, 27-, and 81-km grid resolutions in simulating wind off the central

  19. Wind Integration Forum June 6, 2011 Action Items Update December, 2011

    E-Print Network [OSTI]

    Wind Integration Forum June 6, 2011 Action Items Update December, 2011 The action items from the June 6 Wind Integration Steering Committee are repeated below, followed by brief summaries of progress concern over possible impacts on grid stability from the growing wind fleet. BPA will report back

  20. Supplying Baseload Power and Reducing Transmission Requirements by Interconnecting Wind Farms

    E-Print Network [OSTI]

    Supplying Baseload Power and Reducing Transmission Requirements by Interconnecting Wind Farms is not used to supply baseload electric power today. Interconnecting wind farms through the transmission grid farms are interconnected in an array, wind speed correlation among sites decreases and so does

  1. A Feasibility Study of a Wind/Hydrogen System for Martha's Vineyard, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    systems (SAPS). Their work specifically concentrated on non-grid connected systems that included local project have been carried out. These projects both show the technical feasibility of wind/hydrogen systems1 A Feasibility Study of a Wind/Hydrogen System for Martha's Vineyard, Massachusetts American Wind

  2. A Robust STATCOM Control to Augment LVRT capability of Fixed Speed Wind Turbines

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    equipped with induction generators. The wind generator is a highly nonlinear system, and in this paper% of the nominal voltage for up to 140 ms [3]. Induction generators are preferred as wind generators for their low and the behavior of STATCOM dur- ing balanced or unbalanced grid faults (fault ride through), allow wind generators

  3. Assessing the Impacts of Wind Integration in the Western Provinces Amy Sopinka

    E-Print Network [OSTI]

    Victoria, University of

    and utilize high levels of renewable energy technology, such as wind power, depends upon the composition penetrations in the Alberta grid under various balancing protocols. We find that adding #12;iv wind capacityAssessing the Impacts of Wind Integration in the Western Provinces by Amy Sopinka B.A., Queen

  4. Session: Poster Session + Poster Award + Scientific Award + Excellent young wind doctor award (PO.123) Track: Technical

    E-Print Network [OSTI]

    .123) Track: Technical OFFSHORE WIND FARM WAKE: A COST EFFICIENT ACTUATOR DISC MODEL FOR A "COLLOCATED wind farm wake is needed in order to develop faster engineering models. In order to reduce the computational price, a particular effort is put on reducing the amount of grid cells of each wind turbines

  5. RWT TOOL: OFFSHORE WIND ENERGY MAPPING FROM SAR C. B. Hasager, M. Nielsen, M. B. Christiansen

    E-Print Network [OSTI]

    much interest during the last decade. The adventure started in 1991 when the first offshore wind farm. New development plans near Horns Rev and Nysted are ongoing. Offshore wind farms are in development the highest spatial detail (~500 m by 500 m grid cells) and are observed within the offshore `wind-farming

  6. Impact of increased penetration of wind and PV solar resources on the

    E-Print Network [OSTI]

    to the BES through a power electronic inverter · Residential roof top PV solar also has an inverter whichImpact of increased penetration of wind and PV solar resources on the bulk power system Vijay;Wind and PV solar grid interface · Modern wind turbine generators are typically rated between 1.5 MW

  7. High-Order Sliding Mode Control of a DFIG-Based Wind Turbine

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    High-Order Sliding Mode Control of a DFIG-Based Wind Turbine for Power Maximization and Grid Fault tolerance of a Doubly-Fed Induction Generator (DFIG)-based Wind Turbine (WT). These variable speed systems have several advantages over the traditional wind turbine operating methods, such as the reduction

  8. Individual Pitch Control for Mitigation of Power Fluctuation of Variable Speed Wind Turbines

    E-Print Network [OSTI]

    Hu, Weihao

    Individual Pitch Control for Mitigation of Power Fluctuation of Variable Speed Wind Turbines, China mcheng@seu.edu.cn Abstract-- Grid connected wind turbines are the sources of power fluctuations presents an individual pitch control (IPC) strategy to mitigate the wind turbine power fluctuation at both

  9. HVDC Connected Offshore Wind Power Plants: Review and Outlook of Current Research

    E-Print Network [OSTI]

    Bak, Claus Leth

    HVDC Connected Offshore Wind Power Plants: Review and Outlook of Current Research Jakob Glasdam-of-the-art review on grid integration of large offshore wind power plants (OWPPs) using high voltage direct voltage Sørensen Wind Power, Electrical Systems DONG Energy Fredericia, Denmark jakgl@dongenergy.dk Mogens Blanke

  10. Future Grid: The Environment Future Grid Initiative White Paper

    E-Print Network [OSTI]

    Future Grid: The Environment Future Grid Initiative White Paper Power Systems Engineering Research Center Empowering Minds to Engineer the Future Electric Energy System #12;Future Grid: The Environment Prepared for the Project "The Future Grid to Enable Sustainable Energy Systems" Funded by the U

  11. GridWise Alliance

    Broader source: Energy.gov [DOE]

    Presentation—given at the Spring 2009 Federal Utility Partnership Working Group (FUPWG) meeting—discusses the GRIDWISE ALLIANCE including its mission, today and tomorrow's grid, membership, work groups, and key policy initiatives.

  12. Random array grid collimator

    DOE Patents [OSTI]

    Fenimore, E.E.

    1980-08-22T23:59:59.000Z

    A hexagonally shaped quasi-random no-two-holes touching grid collimator. The quasi-random array grid collimator eliminates contamination from small angle off-axis rays by using a no-two-holes-touching pattern which simultaneously provides for a self-supporting array increasng throughput by elimination of a substrate. The presentation invention also provides maximum throughput using hexagonally shaped holes in a hexagonal lattice pattern for diffraction limited applications. Mosaicking is also disclosed for reducing fabrication effort.

  13. Cyber Security & Smart Grid

    E-Print Network [OSTI]

    Shapiro, J.

    2011-01-01T23:59:59.000Z

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

  14. Smart Grid Animation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund3Biology| National NuclearWind ElectricSmart Grid

  15. New Grid Energy Solutions | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel WindNew Grid Energy Solutions Jump to:

  16. ARE660 Wind Generator: Low Wind Speed Technology for Small Turbine Development

    SciTech Connect (OSTI)

    Robert W. Preus; DOE Project Officer - Keith Bennett

    2008-04-23T23:59:59.000Z

    This project is for the design of a wind turbine that can generate most or all of the net energy required for homes and small businesses in moderately windy areas. The purpose is to expand the current market for residential wind generators by providing cost effective power in a lower wind regime than current technology has made available, as well as reduce noise and improve reliability and safety. Robert W. Preus’ experience designing and/or maintaining residential wind generators of many configurations helped identify the need for an improved experience of safety for the consumer. Current small wind products have unreliable or no method of stopping the wind generator in fault or high wind conditions. Consumers and their neighbors do not want to hear their wind generators. In addition, with current technology, only sites with unusually high wind speeds provide payback times that are acceptable for the on-grid user. Abundant Renewable Energy’s (ARE) basic original concept for the ARE660 was a combination of a stall controlled variable speed small wind generator and automatic fail safe furling for shutdown. The stall control for a small wind generator is not novel, but has not been developed for a variable speed application with a permanent magnet alternator (PMA). The fail safe furling approach for shutdown has not been used to our knowledge.

  17. GRIDS: Grid-Scale Rampable Intermittent Dispatchable Storage

    SciTech Connect (OSTI)

    None

    2010-09-01T23:59:59.000Z

    GRIDS Project: The 12 projects that comprise ARPA-E’s GRIDS Project, short for “Grid-Scale Rampable Intermittent Dispatchable Storage,” are developing storage technologies that can store renewable energy for use at any location on the grid at an investment cost less than $100 per kilowatt hour. Flexible, large-scale storage would create a stronger and more robust electric grid by enabling renewables to contribute to reliable power generation.

  18. Communication Systems for Grid Integration of Renewable Energy Resources

    E-Print Network [OSTI]

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

    2011-01-01T23:59:59.000Z

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

  19. Winding Trail 

    E-Print Network [OSTI]

    Unknown

    2011-09-05T23:59:59.000Z

    During the past decade, the demand for clean renewable energy continues to rise drastically in Europe, the US, and other countries. Wind energy in the ocean can possibly be one of those future renewable clean energy sources as long...

  20. Smart Grid Integration Laboratory

    SciTech Connect (OSTI)

    Wade Troxell

    2011-09-30T23:59:59.000Z

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

  1. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet...

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

    Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP) Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power...

  2. Guide to Using the WIND Toolkit Validation Code

    SciTech Connect (OSTI)

    Lieberman-Cribbin, W.; Draxl, C.; Clifton, A.

    2014-12-01T23:59:59.000Z

    In response to the U.S. Department of Energy's goal of using 20% wind energy by 2030, the Wind Integration National Dataset (WIND) Toolkit was created to provide information on wind speed, wind direction, temperature, surface air pressure, and air density on more than 126,000 locations across the United States from 2007 to 2013. The numerical weather prediction model output, gridded at 2-km and at a 5-minute resolution, was further converted to detail the wind power production time series of existing and potential wind facility sites. For users of the dataset it is important that the information presented in the WIND Toolkit is accurate and that errors are known, as then corrective steps can be taken. Therefore, we provide validation code written in R that will be made public to provide users with tools to validate data of their own locations. Validation is based on statistical analyses of wind speed, using error metrics such as bias, root-mean-square error, centered root-mean-square error, mean absolute error, and percent error. Plots of diurnal cycles, annual cycles, wind roses, histograms of wind speed, and quantile-quantile plots are created to visualize how well observational data compares to model data. Ideally, validation will confirm beneficial locations to utilize wind energy and encourage regional wind integration studies using the WIND Toolkit.

  3. Probability distributions for offshore wind speeds Eugene C. Morgan a,*, Matthew Lackner b

    E-Print Network [OSTI]

    Vogel, Richard M.

    Probability distributions for offshore wind speeds Eugene C. Morgan a,*, Matthew Lackner b Wind turbine energy output Weibull distribution Extreme wind a b s t r a c t In planning offshore wind farms, short-term wind speeds play a central role in estimating various engi- neering parameters

  4. A comparison of predicted and observed turbulent wind fields present in natural and internal wind park environments

    SciTech Connect (OSTI)

    Kelly, N D; Wright, A D

    1991-10-01T23:59:59.000Z

    This paper assesses the accuracy of simulated wind fields for both the natural flow and that within a wind park environment. The simulated fields are compared with the observed ones in both the time and frequency domains. Actual measurements of the wind fields and the derived kinematic scaling parameters upwind and downwind of a large San Gorgonio Pass wind park are used. The deviations in the modeled wind field from the observed are discussed. 10 refs., 6 figs., 2 tabs.

  5. NREL Smart Grid Projects

    SciTech Connect (OSTI)

    Hambrick, J.

    2012-01-01T23:59:59.000Z

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

  6. Energy 101: Wind Turbines

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

    See how wind turbines generate clean electricity from the power of the wind. Highlighted are the various parts and mechanisms of a modern wind turbine.

  7. WIND DATA REPORT Mattapoisett

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Mattapoisett Mattapoisett, Massachusetts December 1, 2006 ­ February 28, 2007...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  8. Energy 101: Wind Turbines

    SciTech Connect (OSTI)

    None

    2011-01-01T23:59:59.000Z

    See how wind turbines generate clean electricity from the power of the wind. Highlighted are the various parts and mechanisms of a modern wind turbine.

  9. Wind power and Wind power and

    E-Print Network [OSTI]

    Wind power and the CDM #12; Wind power and the CDM Emerging practices in developing wind power 2005 Jyoti P. Painuly, Niels-Erik Clausen, Jørgen Fenhann, Sami Kamel and Romeo Pacudan #12; WIND POWER AND THE CDM Emerging practices in developing wind power projects for the Clean Development Mechanism Energy

  10. Economic Evaluation of Short-Term Wind Power Forecasts in ERCOT: Preliminary Results; Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Hodge, B. M.; Brinkman, G.; Ela, E.; Milligan, M.; Banunarayanan, V.; Nasir, S.; Freedman, J.

    2012-09-01T23:59:59.000Z

    Historically, a number of wind energy integration studies have investigated the value of using day-ahead wind power forecasts for grid operational decisions. These studies have shown that there could be large cost savings gained by grid operators implementing the forecasts in their system operations. To date, none of these studies have investigated the value of shorter-term (0 to 6-hour-ahead) wind power forecasts. In 2010, the Department of Energy and National Oceanic and Atmospheric Administration partnered to fund improvements in short-term wind forecasts and to determine the economic value of these improvements to grid operators, hereafter referred to as the Wind Forecasting Improvement Project (WFIP). In this work, we discuss the preliminary results of the economic benefit analysis portion of the WFIP for the Electric Reliability Council of Texas. The improvements seen in the wind forecasts are examined, then the economic results of a production cost model simulation are analyzed.

  11. Mesoscale and Large-Eddy Simulations for Wind Energy

    SciTech Connect (OSTI)

    Marjanovic, N

    2011-02-22T23:59:59.000Z

    Operational wind power forecasting, turbine micrositing, and turbine design require high-resolution simulations of atmospheric flow over complex terrain. The use of both Reynolds-Averaged Navier Stokes (RANS) and large-eddy (LES) simulations is explored for wind energy applications using the Weather Research and Forecasting (WRF) model. To adequately resolve terrain and turbulence in the atmospheric boundary layer, grid nesting is used to refine the grid from mesoscale to finer scales. This paper examines the performance of the grid nesting configuration, turbulence closures, and resolution (up to as fine as 100 m horizontal spacing) for simulations of synoptically and locally driven wind ramping events at a West Coast North American wind farm. Interestingly, little improvement is found when using higher resolution simulations or better resolved turbulence closures in comparison to observation data available for this particular site. This is true for week-long simulations as well, where finer resolution runs show only small changes in the distribution of wind speeds or turbulence intensities. It appears that the relatively simple topography of this site is adequately resolved by all model grids (even as coarse as 2.7 km) so that all resolutions are able to model the physics at similar accuracy. The accuracy of the results is shown in this paper to be more dependent on the parameterization of the land-surface characteristics such as soil moisture rather than on grid resolution.

  12. Sandia Energy - SMART Grid

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution GridDocuments Home StationaryFAQs HomeProgramSCADASMART Grid

  13. Review of Wind Energy Forecasting Methods for Modeling Ramping Events

    SciTech Connect (OSTI)

    Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

    2011-03-28T23:59:59.000Z

    Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

  14. Wind turbine

    DOE Patents [OSTI]

    Cheney, Jr., Marvin C. (Glastonbury, CT)

    1982-01-01T23:59:59.000Z

    A wind turbine of the type having an airfoil blade (15) mounted on a flexible beam (20) and a pitch governor (55) which selectively, torsionally twists the flexible beam in response to wind turbine speed thereby setting blade pitch, is provided with a limiter (85) which restricts unwanted pitch change at operating speeds due to torsional creep of the flexible beam. The limiter allows twisting of the beam by the governor under excessive wind velocity conditions to orient the blades in stall pitch positions, thereby preventing overspeed operation of the turbine. In the preferred embodiment, the pitch governor comprises a pendulum (65,70) which responds to changing rotor speed by pivotal movement, the limiter comprising a resilient member (90) which engages an end of the pendulum to restrict further movement thereof, and in turn restrict beam creep and unwanted blade pitch misadjustment.

  15. Essential Grid Workflow Monitoring Elements

    SciTech Connect (OSTI)

    Gunter, Daniel K.; Jackson, Keith R.; Konerding, David E.; Lee,Jason R.; Tierney, Brian L.

    2005-07-01T23:59:59.000Z

    Troubleshooting Grid workflows is difficult. A typicalworkflow involves a large number of components networks, middleware,hosts, etc. that can fail. Even when monitoring data from all thesecomponents is accessible, it is hard to tell whether failures andanomalies in these components are related toa given workflow. For theGrid to be truly usable, much of this uncertainty must be elim- inated.We propose two new Grid monitoring elements, Grid workflow identifiersand consistent component lifecycle events, that will make Gridtroubleshooting easier, and thus make Grids more usable, by simplifyingthe correlation of Grid monitoring data with a particular Gridworkflow.

  16. A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS

    SciTech Connect (OSTI)

    Osborn, Julie G; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

    2001-01-01T23:59:59.000Z

    Each year, the U.S. Department of Energy's Energy Information Administration (EIA) publishes a forecast of the domestic energy economy in the Annual Energy Outlook (AEO). During the forecast period of the AEO (currently through 2020), renewable energy technologies have typically not achieved significant growth. The contribution of renewable technologies as electric generators becomes more important, however, in scenarios analyzing greenhouse gas emissions reductions or significant technological advancements. We examined the economic assumptions about wind power used for producing forecasts with the National Energy Modeling System (NEMS) to determine their influence on the projected capacity expansion of this technology. This analysis should help illustrate to policymakers what types of issues may affect wind development, and improve the general understanding of the NEMS model itself. Figure 1 illustrates the model structure and factors relevant to wind deployment. We found that NEMS uses various cost multipliers and constraints to represent potential physical and economic limitations to growth in wind capacity, such as resource depletion, costs associated with rapid manufacturing expansion, and grid stability with high levels of capacity from intermittent resources. The model's flexibility allows the user to make alternative assumptions about the magnitude of these factors. While these assumptions have little effect on the Reference Case forecast for the 1999 edition of the AEO, they can make a dramatic difference when wind is more attractive, such as under a carbon permit trading system. With $100/ton carbon permits, the wind capacity projection for 2020 ranges from 15 GW in the unaltered model (AEO99 Reference Case) to 168 GW in the extreme case when all the multipliers and constraints examined in this study are removed. Furthermore, if modifications are made to the model allowing inter-regional transmission of electricity, wind capacity is forecast to reach 214 GW when all limitations are removed. The figures in the upper end of these ranges are not intended to be viewed as reasonable projections, but their magnitude illustrates the importance of the parameters governing the growth of wind capacity and resource availability in forecasts using NEMS. In addition, many uncertainties exist regarding these assumptions that potentially affect the growth of wind power. We suggest several areas in which to focus future research in order to better model the potential development of this resource. Because many of the assumptions related to wind in the model are also used for other renewable technologies, these suggestions could be applied to other renewable resources as well.

  17. Wind Resource Assessment Handbook: Fundamentals for Conducting a Successful Monitoring

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind IndustryWindWindWind W

  18. Wind Resource Mapping of the State of Vermont

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind IndustryWindWindWind

  19. Wind Smoothing and Intertie Service (Pilot) (pbl/main)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind IndustryWindWindWind

  20. Life Cycle Greenhouse Gas Emissions of Utility-Scale Wind Power: Systematic Review and Harmonization

    SciTech Connect (OSTI)

    Dolan, S. L.; Heath, G. A.

    2012-04-01T23:59:59.000Z

    A systematic review and harmonization of life cycle assessment (LCA) literature of utility-scale wind power systems was performed to determine the causes of and, where possible, reduce variability in estimates of life cycle greenhouse gas (GHG) emissions. Screening of approximately 240 LCAs of onshore and offshore systems yielded 72 references meeting minimum thresholds for quality, transparency, and relevance. Of those, 49 references provided 126 estimates of life cycle GHG emissions. Published estimates ranged from 1.7 to 81 grams CO{sub 2}-equivalent per kilowatt-hour (g CO{sub 2}-eq/kWh), with median and interquartile range (IQR) both at 12 g CO{sub 2}-eq/kWh. After adjusting the published estimates to use consistent gross system boundaries and values for several important system parameters, the total range was reduced by 47% to 3.0 to 45 g CO{sub 2}-eq/kWh and the IQR was reduced by 14% to 10 g CO{sub 2}-eq/kWh, while the median remained relatively constant (11 g CO{sub 2}-eq/kWh). Harmonization of capacity factor resulted in the largest reduction in variability in life cycle GHG emission estimates. This study concludes that the large number of previously published life cycle GHG emission estimates of wind power systems and their tight distribution suggest that new process-based LCAs of similar wind turbine technologies are unlikely to differ greatly. However, additional consequential LCAs would enhance the understanding of true life cycle GHG emissions of wind power (e.g., changes to other generators operations when wind electricity is added to the grid), although even those are unlikely to fundamentally change the comparison of wind to other electricity generation sources.

  1. Unlocking the smart grid

    SciTech Connect (OSTI)

    Rokach, Joshua Z.

    2010-10-15T23:59:59.000Z

    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)

  2. APEC Smart Grid Initiative

    SciTech Connect (OSTI)

    Bloyd, Cary N.

    2012-03-01T23:59:59.000Z

    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.

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

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

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

  4. GROWDERS Demonstration of Grid Connected Electricity Systems...

    Open Energy Info (EERE)

    GROWDERS Demonstration of Grid Connected Electricity Systems (Smart Grid Project) (Spain) Jump to: navigation, search Project Name GROWDERS Demonstration of Grid Connected...

  5. Networked Loads in the Distribution Grid

    E-Print Network [OSTI]

    Wang, Zhifang; Li, Xiao; Muthukumar, Vishak; Scaglione, Anna; Peisert, Sean; McParland, Chuck

    2012-01-01T23:59:59.000Z

    Lu, and Deborah A. Frincke. Smart-Grid Security Issues. IEEELoads in the Distribution Grid Zhifang Wang ? , Xiao Li † ,Transformer   sensors   Grid   Cyber  system   Cooling    

  6. Flexible Transmission in the Smart Grid

    E-Print Network [OSTI]

    Hedman, Kory Walter

    2010-01-01T23:59:59.000Z

    New England Outlook: Smart Grid is About Consumers,” Apr. [Transmission in the Smart Grid By Kory Walter Hedman ATransmission in the Smart Grid by Kory Walter Hedman Doctor

  7. Smart Grid | Department of Energy

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

    Energy Usage Smart Grid Smart Grid October 21, 2014 Line workers get hands-on experience with an electrical pole as part of their training. | Photo courtesy of David Weaver....

  8. Stability of elastic grid shells

    E-Print Network [OSTI]

    Mesnil, Romain, M. Eng. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    The elastic grid shell is a solution that combines double curvature and ease of mounting. This structural system, based on the deformation of an initially at grid without shear stiffness was invented more than fifty years ...

  9. Scoping and Framing Social Opposition to U.S. Wind Projects (Poster)

    SciTech Connect (OSTI)

    Lantz, E.; Flowers, L.

    2010-05-01T23:59:59.000Z

    Historical barriers to wind power include cost and reliability. However, rapid growth has increased the footprint of wind power in the United States, and some parts of the country have begun to observe conflicts between local communities and wind energy development. Thus, while questions of economic viability and the ability of grid operators to effectively manage wind energy have become less significant, community acceptance issues have emerged as a barrier to wind and associated transmission projects. Increasing community acceptance is likely to be a growing challenge as the wind industry seeks electricity sector penetration levels approaching 20%.

  10. A Grid of NLTE Line-Blanketed Model Atmospheres of Early B-type Stars

    E-Print Network [OSTI]

    Thierry Lanz; Ivan Hubeny

    2006-11-29T23:59:59.000Z

    We have constructed a comprehensive grid of 1540 metal line-blanketed, NLTE, plane-parallel, hydrostatic model atmospheres for the basic parameters appropriate to early B-type stars. The BSTAR2006 grid considers 16 values of effective temperatures, 15,000 K grid complements our earlier OSTAR2002 grid of O-type stars (Lanz & Hubeny, 2003, ApJS, 146, 417). The paper contains a description of the BSTAR2006 grid and some illustrative examples and comparisons. NLTE ionization fractions, bolometric corrections, radiative accelerations, and effective gravities are obtained over the parameter range covered by the grid. By extrapolating radiative accelerations, we have determined an improved estimate of the Eddington limit in absence of rotation between 55,000 and 15,000 K. The complete BSTAR2006 grid is available at the TLUSTY website (http://nova.astro.umd.edu).

  11. Abstract--The use of doubly fed induction generators (DFIGs) in large wind energy conversion systems (WECS) has

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    1 Abstract--The use of doubly fed induction generators (DFIGs) in large wind energy conversion-Through, STATCOM, LVRT, VSC, RSC, GSC, Grid codes. I. INTRODUCTION HE use of wind energy is growing rapidly candidate in the wind energy conversion systems (WECS) due to its advantages [2- 5]. When compared to fixed

  12. V2G Technology to Improve Wind Power Quality and Stability F. R. Islam and H. R. Pota

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    of wind generation with PHEVs, as well as the stability analysis of the power grid to demonstrate that use. A charging station gives opportunity to use the PHEVs battery as a battery base for the wind generator provides the wind generator model; dynamic battery model of PHEVs and network interfacing are presented

  13. Robust STATCOM Control for the Enhancement of Fault Ride-Through Capability of Fixed Speed Wind Generators

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    -slip relationships as well as through simulations. The wind generator is a highly nonlinear system, which is modelled power generation. This type of wind generator always consumes reactive power from the grid. WhenRobust STATCOM Control for the Enhancement of Fault Ride-Through Capability of Fixed Speed Wind

  14. Risky Power Forward Contracts for Wind Aggregation Yue Zhao, Junjie Qin, Ram Rajagopal, Andrea Goldsmith and H. Vincent Poor

    E-Print Network [OSTI]

    Zhao, Yue

    The need for integrating more wind energy into the electric grid calls for a major re% renewable penetration by 2020, within which wind energy will play a crucial role. Due to the intrinsic discourages LSEs to accept high wind penetration. A primary alternative approach, carried out in the UK

  15. On the response of polar cap dynamics to its solar wind and magnetotail drivers at high levels of geomagnetic activity

    E-Print Network [OSTI]

    Gao, Ye

    2012-01-01T23:59:59.000Z

    polar cap potential by intense solar wind electric fields,potentials measured with Super Dual Auroral Radar Network during quasi-steady solar wind andelectric potential as a function of solar wind parameters by

  16. NREL: Learning - Student Resources on Wind Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid Integration NREL isDataWorking withFuelSolar Energy TheWind

  17. NREL: Wind Research - Regional Test Centers

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6 DecemberWind

  18. NREL: Wind Research - Research Staff Biographies

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6 DecemberWindResearch

  19. NREL: Wind Research - Structural Testing Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6Site WindStructural

  20. Appendix I3-1 to Wind HUI Initiative 1: AWST-WindNET-Phase 1 Final Report

    SciTech Connect (OSTI)

    John Zack

    2012-07-15T23:59:59.000Z

    This report is an appendix to the Hawaii WindHUI efforts to develop and operationalize short-term wind forecasting and wind ramp event forecasting capabilities. The report summarizes the WindNET Phase 1 efforts on the Big Island of Hawaii and includes descriptions of modeling methodologies, use of field validation data, results and recommendations. The objective of the WindNET project was to investigate the improvement that could be obtained in short-term wind power forecasting for wind generation facilities operating on the island grids operated by Hawaiian Electric Companies through the use of atmospheric sensors deployed at targeted locations. WindNET is envisioned as a multiphase project that will address the short-term wind forecasting issues of all of the wind generation facilities on the all of the Hawaiian Electric Companies' island grid systems. The first phase of the WindNET effort (referred to as WindNET-1) was focused on the wind generation facilities on the Big Island of Hawaii. With complex terrain and marine environment, emphasis was on improving the 0 to 6 hour forecasts of wind power ramps and periods of wind variability, with a particular interest in the intra-hour (0-1 hour) look-ahead period. The WindNET project was built upon a foundation that was constructed with the results from a previously completed observation targeting study for the Big Island that was conducted as part of a project supported by the National Renewable Energy Laboratory (NREL) and interactions with the western utilities. The observational targeting study provided guidance on which variables to measure and at what locations to get the most improvement in forecast performance at a target forecast site. The recommendations of the observation targeting study were based on the application two techniques: (1) an objective method called ensemble sensitivity analysis (ESA) (Ancell and Hakim, 2007; Torn and Hakim, 2008; Zack et al, 2010); and (2) a subjective method based on a diagnostic analysis of large ramp events. The analysis was completed for both the wind farm on the southern tip of the Big Island and on the northern tip of the island. The WindNET project was designed to also deploy sensors to validate the Big Island observational targeting study and enhance operator's understanding of predominate causes of wind variability conditions at the wind facilities. Compromises had to be made with the results from the observation targeting study to accommodate project resource limitations, availability of suitable sites, and other factors. To focus efforts, field sensor deployment activities focused on the wind facility on the southern point of Big Island.

  1. Embodied Energy and Off-Grid Lighting

    SciTech Connect (OSTI)

    Alstone, Peter; Mills, Evan; Jacobson, Arne

    2011-01-25T23:59:59.000Z

    The greenhouse gas (GHG) emissions from fuel-based lighting are substantial given the paltry levels of lighting service provided to users, leading to a great opportunity for GHG mitigation byencouraging the switch from fuel-based to rechargeable LED lighting. However, as with most new energy technology, switching to efficient lighting requires an up-front investment of energy(and GHGs) embedded in the manufacture of replacement components. We studied a population of off-grid lighting users in 2008-2009 in Kenya who were given the opportunity to adopt LEDlighting. Based on their use patterns with the LED lights and the levels of kerosene offset we observed, we found that the embodied energy of the LED lamp was"paid for" in only one month for grid charged products and two months for solar charged products. Furthermore, the energyreturn-on investment-ratio (energy produced or offset over the product's service life divided by energy embedded) for off-grid LED lighting ranges from 12 to 24, which is on par with on-gridsolar and large-scale wind energy. We also found that the energy embodied in the manufacture of a typical hurricane lantern is about one-half to one-sixth of that embodied in the particular LEDlights that we evaluated, indicating that the energy payback time would be moderately faster if LEDs ultimately displace the production of kerosene lanterns. As LED products improve, weanticipate longer service lives and more successful displacement of kerosene lighting, both of which will speed the already rapid recovery of embodied energy in these products. Our studyprovides a detailed appendix with embodied energy values for a variety of components used to construct off-grid LED lighting, which can be used to analyze other products.

  2. Oscillating plasma bubbles. IV. Grids, geometry, and gradients

    SciTech Connect (OSTI)

    Stenzel, R. L. [Department of Physics and Astronomy, University of California, Los Angeles, California 90095-1547 (United States); Urrutia, J. M. [Urrutia Scientific, Van Nuys, California 91406 (United States)

    2012-08-15T23:59:59.000Z

    Plasma bubbles are created in an ambient plasma. The bubble is formed inside a cavity bounded by a negatively biased grid. Ions are injected through the grid and neutralized by electrons from either the background plasma or an internal electron emitter. The external electron supply is controlled by the grid bias relative to the external plasma potential. When the electron flux is restricted to the ion flux, the sheath of the bubble becomes unstable and causes the plasma potential to oscillate near the ion plasma frequency. The exact frequency depends on the net space charge density in the bubble sheath. The frequency increases with density and grid voltage, provided the grid forms a parallel equipotential surface. The present investigation shows that when the Debye length becomes smaller than the grid openings the electron flux cannot be controlled by the grid voltage. The frequency dependence on grid voltage and density is modified creating frequency and amplitude jumps. Low frequency sheath oscillations modulate the high frequency normal oscillations. Harmonics and subharmonics are excited by electrons in an ion-rich sheath. When the plasma parameters vary over the bubble surface, the sheath may oscillate at different frequencies. A cavity with two isolated grids has been used to investigate anisotropies of the energetic electron flux in a discharge plasma. The frequency dependence on grid voltage is entirely different when the grid controls the energetic electrons or the bulk electrons. These observations are important to several fields of basic plasma physics, such as sheaths, sheath instabilities, diagnostic probes, current, and space charge neutralization of ion beams.

  3. Broken Bar Detection in Synchronous Machines Based Wind Energy Conversion System

    E-Print Network [OSTI]

    Rahimian, Mina Mashhadi

    2012-10-19T23:59:59.000Z

    at extremely high towers and therefore inaccessible. For offshore plants, bad weather can prevent any repair actions for several weeks. In some of the new wind turbines synchronous generators are used and directly connected to the grid without the need...

  4. Physical modeling of wind turbine generators in a small scale analog system

    E-Print Network [OSTI]

    Wang, Xuntuo

    2014-01-01T23:59:59.000Z

    This project represents the physical modeling and experimental test of a Doubly-fed Induction Machine (DFIM), in order to substantially analyze the characteristic behaviors of wind turbines and its use in the micro-grid ...

  5. Cloud Computing for the Grid: GridControl: A Software Platform to Support the Smart Grid

    SciTech Connect (OSTI)

    None

    2012-02-08T23:59:59.000Z

    GENI Project: Cornell University is creating a new software platform for grid operators called GridControl that will utilize cloud computing to more efficiently control the grid. In a cloud computing system, there are minimal hardware and software demands on users. The user can tap into a network of computers that is housed elsewhere (the cloud) and the network runs computer applications for the user. The user only needs interface software to access all of the cloud’s data resources, which can be as simple as a web browser. Cloud computing can reduce costs, facilitate innovation through sharing, empower users, and improve the overall reliability of a dispersed system. Cornell’s GridControl will focus on 4 elements: delivering the state of the grid to users quickly and reliably; building networked, scalable grid-control software; tailoring services to emerging smart grid uses; and simulating smart grid behavior under various conditions.

  6. Heat transfer near spacer grids in rod bundles

    SciTech Connect (OSTI)

    Yoder, G.L.

    1985-01-01T23:59:59.000Z

    Heat transfer data from several sources have been assembled which show the effect of spacer grids on local heat transfer within a rod bundle. Both single phase (air and steam) data and two phase (steam/water) data show heat transfer augmentation in the grid region. Heat transfer improvement immediately beyond the grid ranges from a few percent to over fifty percent in these experiments, depending on flow conditions. The data are examined using several nondimensional parameters which relate the above effects to known quantities. The relative effect of the grid on local heat transfer is altered by both the Reynolds number and blockage ratio. Twenty to thirty hydraulic diameters are required before the local effect of the grid dissipates. Locally, both the single phase and two phase data show the same trends. Comparison of the single and two phase data also shown some differences. Some film boiling data indicate that an altered heat transfer regime may exist near the grid. High rod heat transfer coefficients at the grid locations indicate either a rewet of the rods or at least a change from film boiling to transition boiling near the spacer. The comparison also indicates that the film boiling data is affected on a global as well as local basis. This is due to the effect of the grid on the liquid distribution.

  7. Small Wind Electric Systems: A Guide Produced for the Tennessee Valley Authority (Revised) (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2009-06-01T23:59:59.000Z

    Small Wind Electric Systems: A Guide Produced for the Tennessee Valley Authority provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a regional wind resource map and a list of incentives and contacts for more information.

  8. Small Wind Electric Systems: A U.S. Consumer's Guide (Revised)

    SciTech Connect (OSTI)

    Not Available

    2004-08-01T23:59:59.000Z

    Small Wind Electric Systems: A U.S. Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and their economics. Topics discussed in the guide include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a regional wind resource map and a list of incentives and contacts for more information.

  9. Micro-Grids for Colonias (TX)

    SciTech Connect (OSTI)

    Dean Schneider; Michael Martin; Renee Berry; Charles Moyer

    2012-07-31T23:59:59.000Z

    This report describes the results of the final implementation and testing of a hybrid micro-grid system designed for off-grid applications in underserved Colonias along the Texas/Mexico border. The project is a federally funded follow-on to a project funded by the Texas State Energy Conservation Office in 2007 that developed and demonstrated initial prototype hybrid generation systems consisting of a proprietary energy storage technology, high efficiency charging and inverting systems, photovoltaic cells, a wind turbine, and bio-diesel generators. This combination of technologies provided continuous power to dwellings that are not grid connected, with a significant savings in fuel by allowing power generation at highly efficient operating conditions. The objective of this project was to complete development of the prototype systems and to finalize and engineering design; to install and operate the systems in the intended environment, and to evaluate the technical and economic effectiveness of the systems. The objectives of this project were met. This report documents the final design that was achieved and includes the engineering design documents for the system. The system operated as designed, with the system availability limited by maintenance requirements of the diesel gensets. Overall, the system achieved a 96% availability over the operation of the three deployed systems. Capital costs of the systems were dependent upon both the size of the generation system and the scope of the distribution grid, but, in this instance, the systems averaged $0.72/kWh delivered. This cost would decrease significantly as utilization of the system increased. The system with the highest utilization achieved a capitol cost amortized value of $0.34/kWh produced. The average amortized fuel and maintenance cost was $0.48/kWh which was dependent upon the amount of maintenance required by the diesel generator. Economically, the system is difficult to justify as an alternative to grid power. However, the operational costs are reasonable if grid power is unavailable, e.g. in a remote area or in a disaster recovery situation. In fact, avoided fuel costs for the smaller of the systems in use during this project would have a payback of the capital costs of that system in 2.3 years, far short of the effective system life.

  10. Maximum power tracking control scheme for wind generator systems

    E-Print Network [OSTI]

    Mena Lopez, Hugo Eduardo

    2008-10-10T23:59:59.000Z

    The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor...

  11. Maximum power tracking control scheme for wind generator systems

    E-Print Network [OSTI]

    Mena, Hugo Eduardo

    2009-05-15T23:59:59.000Z

    The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor...

  12. Maximum power tracking control scheme for wind generator systems 

    E-Print Network [OSTI]

    Mena, Hugo Eduardo

    2009-05-15T23:59:59.000Z

    The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor...

  13. Maximum power tracking control scheme for wind generator systems 

    E-Print Network [OSTI]

    Mena Lopez, Hugo Eduardo

    2008-10-10T23:59:59.000Z

    The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor...

  14. Principal Characteristics of a Modern Grid

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

    Electricity Initiative GridWise Alliance GridWise Architecture Council European SmartGrid Technology Platform 19 MODERN GRID S T R A T E G Y Questions? Office of Electricity...

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

    E-Print Network [OSTI]

    Al Faruque, Mohammad Abdullah

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

  16. Grid Transfer Remark 4.1 Contents of this chapter. Consider a grid with grid size h and the

    E-Print Network [OSTI]

    John, Volker

    Chapter 4 Grid Transfer Remark 4.1 Contents of this chapter. Consider a grid with grid size h that there might be an iterative method for solving this system efficiently, which uses also coarser grids way between the grids. 2 4.1 The Coarse Grid System and the Residual Equa- tion Remark 4.2 Basic idea

  17. Sandia Energy - SMART Grid

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley RuehlReportPeter H.Rohit Prasankumar

  18. Wind Technologies & Evolving Opportunities (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-07-01T23:59:59.000Z

    This presentation covers opportunities for wind technology; wind energy market trends; an overview of the National Wind Technology Center near Boulder, Colorado; wind energy price and cost trends; wind turbine technology improvements; and wind resource characterization improvements.

  19. Representation of the mesoscale wind field using a line integral technique

    E-Print Network [OSTI]

    Trares, John S

    1982-01-01T23:59:59.000Z

    . Comparison between the Reconstructed Wind Fields via the LIT and Finite Difference Method. Future Research . Final Remarks . 51 52 52 55 REFERENCES. APPENDIX A. APPENDIX 8. V ITA. 58 60 65 86 LIST OF FIGURES Figure 1 Gridded surface height... and v components and the other uses the "Line integral Technique. " The details of these methods are as follows: 20 1) Finite Difference method From the interpolated wind components, the grid point values of divergence and vorticity are computed via...

  20. 2015 Iowa Wind Power Conference and Iowa Wind Energy Association...

    Energy Savers [EERE]

    2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional Energy Job Fair 2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional...

  1. Community Wind Handbook/Understand Your Wind Resource and Conduct...

    Open Energy Info (EERE)

    Conduct a Preliminary Estimate < Community Wind Handbook Jump to: navigation, search WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHCommunity Wind Handbook WindTurbine-icon.png...

  2. American Wind Energy Association Wind Energy Finance and Investment...

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

    American Wind Energy Association Wind Energy Finance and Investment Seminar American Wind Energy Association Wind Energy Finance and Investment Seminar October 20, 2014 8:00AM EDT...

  3. WindWaveFloat Final Report

    SciTech Connect (OSTI)

    Alla Weinstein, Dominique Roddier, Kevin Banister

    2012-03-30T23:59:59.000Z

    Principle Power Inc. and National Renewable Energy Lab (NREL) have completed a contract to assess the technical and economic feasibility of integrating wave energy converters into the WindFloat, resulting in a new concept called the WindWaveFloat (WWF). The concentration of several devices on one platform could offer a potential for both economic and operational advantages. Wind and wave energy converters can share the electrical cable and power transfer equipment to transport the electricity to shore. Access to multiple generation devices could be simplified, resulting in cost saving at the operational level. Overall capital costs may also be reduced, provided that the design of the foundation can be adapted to multiple devices with minimum modifications. Finally, the WindWaveFloat confers the ability to increase energy production from individual floating support structures, potentially leading to a reduction in levelized energy costs, an increase in the overall capacity factor, and greater stability of the electrical power delivered to the grid. The research conducted under this grant investigated the integration of several wave energy device types into the WindFloat platform. Several of the resulting system designs demonstrated technical feasibility, but the size and design constraints of the wave energy converters (technical and economic) make the WindWaveFloat concept economically unfeasible at this time. Not enough additional generation could be produced to make the additional expense associated with wave energy conversion integration into the WindFloat worthwhile.

  4. Sandia National Laboratories: Grid System Planning for Wind:...

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

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

  5. United States Launches First Grid-Connected Offshore Wind Turbine |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3E AmbassadorsUS-EU-Japan-Japan JointGreen7/053/03 THUl

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency Visit |InfrastructureAerialWork-for-OthersStudy

  7. EWIS European wind integration study (Smart Grid Project) (Czech Republic)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrictInformation Ireland) Jump| Open Energy

  8. EWIS European wind integration study (Smart Grid Project) (Denmark) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrictInformation Ireland) Jump| Open

  9. EWIS European wind integration study (Smart Grid Project) (Ireland) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrictInformation Ireland) Jump| OpenEnergy

  10. EWIS European wind integration study (Smart Grid Project) (Spain) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrictInformation Ireland) Jump| OpenEnergyEnergy

  11. Islanded Grid Wind Power Conference | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetter Report: I11IG002RTC3 | 12/1/2014 |Is the Energy

  12. Research and Development Needs for Wind Systems Utilizing Controllable Grid

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -Department ofEMSpent NuclearEnergy|

  13. National Offshore Wind Energy Grid Interconnection Study (NOWEGIS) |

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,39732onMake Your NextHowNQA-1.pdfLab Day 2014 National

  14. New Report Characterizes Existing Offshore Wind Grid Interconnection

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,39732onMake YourDepartment of Energy New Mexico

  15. Distributed connected wind farms (Smart Grid Project) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential Microhydro

  16. 2014 WIND POWER PROGRAM PEER REVIEW-ADVANCED GRID INTEGRATION

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of BadTHEEnergy VehicleSessionOffice44Department

  17. Research and Development Needs for Wind Systems Utilizing Controllable Grid

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 < prevQuickEnergyfor aDepartmentSimulators and Full Scale

  18. EWIS European wind integration study (Smart Grid Project) (Austria) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale,South, NewDyerTier2Latvia) Jump to:Energy Information

  19. EWIS European wind integration study (Smart Grid Project) (France) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale,South, NewDyerTier2Latvia) Jump to:Energy

  20. EWIS European wind integration study (Smart Grid Project) (Germany) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale,South, NewDyerTier2Latvia) Jump to:EnergyEnergy

  1. EWIS European wind integration study (Smart Grid Project) (Greece) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale,South, NewDyerTier2Latvia) Jump to:EnergyEnergyEnergy

  2. EWIS European wind integration study (Smart Grid Project) (Netherlands) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale,South, NewDyerTier2Latvia) Jump to:EnergyEnergyEnergyOpen

  3. EWIS European wind integration study (Smart Grid Project) (Poland) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale,South, NewDyerTier2Latvia) Jump

  4. EWIS European wind integration study (Smart Grid Project) (Portugal) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale,South, NewDyerTier2Latvia) JumpEnergy Information

  5. EWIS European wind integration study (Smart Grid Project) (United Kingdom)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale,South, NewDyerTier2Latvia) JumpEnergy Information| Open

  6. EWIS European wind integration study (Smart Grid Project) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale,South, NewDyerTier2Latvia) JumpEnergy Information|

  7. Distributed connected wind farms (Smart Grid Project) (Limerick, Ireland) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE FacilityDimondale, Michigan:Emerling Farm <SiteLtd Di S P JumpOpen Energy

  8. National Offshore Wind Energy Grid Interconnection Study - Executive Summary

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_Cost Estimating35.docMusingsEnergyAdministration National

  9. United States Launches First Grid-Connected Offshore Wind Turbine |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: SinceDevelopment | Department of Energy $18 MillionPresident Obama's FYofRoadmap to

  10. REAP Islanded Grid Wind Power Conference | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012 Qualified EnergyDepartmentSouthern California EdisonIslanded

  11. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    wind turbine components (specifically, generators, bladeschangers. ” Wind turbine components such as blades, towers,17%). Wind turbine component exports (towers, blades,

  12. Western Wind and Solar Integration Study (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-09-01T23:59:59.000Z

    Initiated in 2007 to examine the operational impact of up to 35% penetration of wind, photovoltaic (PV), and concentrating solar power (CSP) energy on the electric power system, the Western Wind and Solar Integration Study (WWSIS) is one of the largest regional wind and solar integration studies to date. The goal is to understand the effects of variability and uncertainty of wind, PV, and CSP on the grid. In the Western Wind and Solar Integration Study Phase 1, solar penetration was limited to 5%. Utility-scale PV was not included because of limited capability to model sub-hourly, utility-scale PV output . New techniques allow the Western Wind and Solar Integration Study Phase 2 to include high penetrations of solar - not only CSP and rooftop PV but also utility-scale PV plants.

  13. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Public Service Wind Integration Cost Impact Study. Preparedequipment-related wind turbine costs, the overall importinstalled wind power project costs, wind turbine transaction

  14. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    Public Service Wind Integration Cost Impact Study. Preparedinstalled wind power project costs, wind turbine transactionand components and wind turbine costs. Excluded from all

  15. Sandia National Laboratories: wind energy

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

    Wind Energy Manufacturing Lab Helps Engineers Improve Wind Power On November 15, 2011, in Energy, News, Partnership, Renewable Energy, Wind Energy Researchers at the Wind Energy...

  16. Module Handbook Specialisation Wind Energy

    E-Print Network [OSTI]

    Habel, Annegret

    ;Specialisation Wind Energy, NTU Athens, 2nd Semester Module 1/Wind Energy: Wind potential, Aerodynamics & Loading of Wind Turbines Module name: Wind potential, Aerodynamics & Loading of Wind Turbines Section Classes Evaluation of Wind Energy Potential Wind turbine Aerodynamics Static and dynamic Loading of Wind turbines

  17. Coastal Ohio Wind Project

    SciTech Connect (OSTI)

    Gorsevski, Peter; Afjeh, Abdollah; Jamali, Mohsin; Bingman, Verner

    2014-04-04T23:59:59.000Z

    The Coastal Ohio Wind Project intends to address problems that impede deployment of wind turbines in the coastal and offshore regions of Northern Ohio. The project evaluates different wind turbine designs and the potential impact of offshore turbines on migratory and resident birds by developing multidisciplinary research, which involves wildlife biology, electrical and mechanical engineering, and geospatial science. Firstly, the project conducts cost and performance studies of two- and three-blade wind turbines using a turbine design suited for the Great Lakes. The numerical studies comprised an analysis and evaluation of the annual energy production of two- and three-blade wind turbines to determine the levelized cost of energy. This task also involved wind tunnel studies of model wind turbines to quantify the wake flow field of upwind and downwind wind turbine-tower arrangements. The experimental work included a study of a scaled model of an offshore wind turbine platform in a water tunnel. The levelized cost of energy work consisted of the development and application of a cost model to predict the cost of energy produced by a wind turbine system placed offshore. The analysis found that a floating two-blade wind turbine presents the most cost effective alternative for the Great Lakes. The load effects studies showed that the two-blade wind turbine model experiences less torque under all IEC Standard design load cases considered. Other load effects did not show this trend and depending on the design load cases, the two-bladed wind turbine showed higher or lower load effects. The experimental studies of the wake were conducted using smoke flow visualization and hot wire anemometry. Flow visualization studies showed that in the downwind turbine configuration the wake flow was insensitive to the presence of the blade and was very similar to that of the tower alone. On the other hand, in the upwind turbine configuration, increasing the rotor blade angle of attack reduced the wake size and enhanced the vortices in the flow downstream of the turbine-tower compared with the tower alone case. Mean and rms velocity distributions from hot wire anemometer data confirmed that in a downwind configuration, the wake of the tower dominates the flow, thus the flow fields of a tower alone and tower-turbine combinations are nearly the same. For the upwind configuration, the mean velocity shows a narrowing of the wake compared with the tower alone case. The downwind configuration wake persisted longer than that of an upwind configuration; however, it was not possible to quantify this difference because of the size limitation of the wind tunnel downstream of the test section. The water tunnel studies demonstrated that the scale model studies could be used to adequately produce accurate motions to model the motions of a wind turbine platform subject to large waves. It was found that the important factors that affect the platform is whether the platform is submerged or surface piercing. In the former, the loads on the platform will be relatively reduced whereas in the latter case, the structure pierces the wave free surface and gains stiffness and stability. The other important element that affects the movement of the platform is depth of the sea in which the wind turbine will be installed. Furthermore, the wildlife biology component evaluated migratory patterns by different monitoring systems consisting of marine radar, thermal IR camera and acoustic recorders. The types of radar used in the project are weather surveillance radar and marine radar. The weather surveillance radar (1988 Doppler), also known as Next Generation Radar (NEXRAD), provides a network of weather stations in the US. Data generated from this network were used to understand general migratory patterns, migratory stopover habitats, and other patterns caused by the effects of weather conditions. At a local scale our marine radar was used to complement the datasets from NEXRAD and to collect additional monitoring parameters such as passage rates, flight paths, flight directi

  18. 7 The Numerical Wind Atlas for Ire-7.1 Topography for Ireland

    E-Print Network [OSTI]

    7 The Numerical Wind Atlas for Ire- land 7.1 Topography for Ireland The topography of Ireland the surface to a height of 4000 m. The lowest grid levels were at 15, 43, 84, 138 m a.g.l. for a grid point

  19. Control and Protection of Wind Power Plants with VSC-HVDC Connection

    E-Print Network [OSTI]

    Chaudhary, Sanjay

    Control and Protection of Wind Power Plants with VSC-HVDC Connection By Sanjay K Chaudhary different methods have been evaluated here for relaying the onshore grid frequency to the offshore grid power oscillations, and hence, lower dc voltage overshoots in the VSC-HVDC system. On the protection

  20. Articles about Offshore Wind | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartment ofATVMAgriculturalAn1(BENEFIT)GridOffshore Wind

  1. Robotic Wind Turbine Inspection | GE Global Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonantNovember 15 toAdvances Wind Turbine Inspection

  2. Copyright notice: this is the self-archived version of an article accepted for publication in Wind Energy, September 2013. The copyright now belongs to John Wiley & Sons, Ltd. DOI: 10.1002/we.1680

    E-Print Network [OSTI]

    Boyer, Edmond

    . The stochastic nature of wind power production is a source of uncertainty in the grid energy balance which has: http://onlinelibrary.wiley.com/doi/1 .1 2/we.168 /abstract Energy storage sizing for wind power: impact dispatchability of wind power production. However, the stochastic nature of forecast errors prevents a wind farm

  3. Data Management in the GridRPC GridRPC Data Management API

    E-Print Network [OSTI]

    Caniou, Yves

    Data Management in the GridRPC Issues Conclusion GridRPC Data Management API Implementations, Le Mahec, Nakada GridRPC DM API: Implem. and Interop. Issues (1/13) #12;Data Management in the GridRPC Issues Conclusion Goal GridRPC DM types: Reminder 1 Data Management in the GridRPC Goal GridRPC DM types

  4. Numerical wind speed simulation model

    SciTech Connect (OSTI)

    Ramsdell, J.V.; Athey, G.F.; Ballinger, M.Y.

    1981-09-01T23:59:59.000Z

    A relatively simple stochastic model for simulating wind speed time series that can be used as an alternative to time series from representative locations is described in this report. The model incorporates systematic seasonal variation of the mean wind, its standard deviation, and the correlation speeds. It also incorporates systematic diurnal variation of the mean speed and standard deviation. To demonstrate the model capabilities, simulations were made using model parameters derived from data collected at the Hanford Meteorology Station, and results of analysis of simulated and actual data were compared.

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

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

    Provider BAHNHOF POTSDAMER PLATZ Home Area Network (HAN) Grid Operations Coal Natural Gas Nuclear Hydro Renewable Fuel Oil Misc Generation Energy Service Interface (ESI)...

  6. Sandia Energy - Grid Modernization

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear Press ReleasesInAppliedEnergyGeothermal HomeGrid

  7. Sandia Energy - Grid Integration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand RequirementsCoatingsUltra-High-Voltage SiliconEnergyFailureGlobal ClimateGrid

  8. Grid-based Production

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental AssessmentsGeoffrey(SC)Graphite ReactorGregGrid-Connected

  9. Sharing Smart Grid Experiences

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting the StageCanon! Shared Solar:Sharing

  10. Sandia Energy - Grid Integration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPower SystemsCarbon CaptureBiofuels

  11. Sandia Energy - Grid Integration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPower SystemsCarbon

  12. Sandia Energy - Grid Integration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757 (1)Tara46EnergyPower SystemsCarbonEnergy Sandia

  13. Sandia Energy - SMART Grid

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley RuehlReportPeter H.Rohit Prasankumar HomeEnergy

  14. GridPV

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heaton Armed Services U.S.GregoryGrid6733

  15. GridPV

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heaton Armed Services U.S.GregoryGrid6733141

  16. NERSC Grid Certificates

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1AllocationsNOVA Portal: Submit2014 NERSCFranklinGrid

  17. Wind Integration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to global warmingGlobal »Wind

  18. Wind Power

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEurekaWeekly UserWhat's New Today aboutWind

  19. Robust Parameter Identification with Adaptive Sparse Grid-based ...

    E-Print Network [OSTI]

    Maia Mahoney

    2008-09-22T23:59:59.000Z

    model, which is an exemplar systems biology process. Results ... be optimized are the control inputs and it is desirable that the inputs be designed such that small errors in implementation would not result in large output errors. Therefore ...

  20. Parameter Identification with Adaptive Sparse Grid-based ...

    E-Print Network [OSTI]

    Greg Buzzard

    2009-08-12T23:59:59.000Z

    varying their values to minimize a cost function that represents the difference between the ... species, the uncertainty and complexity of the interconnected signaling .... values can be roughly estimated by back-of-the-envelope calculations or ...

  1. Western Wind and Solar Integration Study

    SciTech Connect (OSTI)

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

    2011-01-01T23:59:59.000Z

    The Western Wind and Solar Integration Study (WWSIS) is one of the largest regional wind and solar integration studies to date. It was initiated in 2007 to examine the operational impact of up to 35% energy penetration of wind, photovoltaics (PV), and concentrating solar power (CSP) on the power system operated by the WestConnect group of utilities in Arizona, Colorado, Nevada, New Mexico, and Wyoming (see study area map). WestConnect also includes utilities in California, but these were not included because California had already completed a renewable energy integration study for the state. This study was set up to answer questions that utilities, public utilities commissions, developers, and regional planning organizations had about renewable energy use in the west: (1) Does geographic diversity of renewable energy resource help mitigate variability; (2) How do local resources compare to out-of-state resources; (3) Can balancing area cooperation help mitigate variability; (4) What is the role and value of energy storage; (5) Should reserve requirements be modified; (6) What is the benefit of forecasting; and (7) How can hydropower help with integration of renewables? The Western Wind and Solar Integration Study is sponsored by the U.S. Department of Energy (DOE) and run by NREL with WestConnect as a partner organization. The study follows DOE's 20% Wind Energy by 2030 report, which did not find any technical barriers to reaching 20% wind energy in the continental United States by 2030. This study and its partner study, the Eastern Wind Integration and Transmission Study, performed a more in-depth operating impact analysis to see if 20% wind energy was feasible from an operational level. In DOE/NREL's analysis, the 20% wind energy target required 25% wind energy in the western interconnection; therefore, this study considered 20% and 30% wind energy to bracket the DOE analysis. Additionally, since solar is rapidly growing in the west, 5% solar was also considered in this study. The goal of the Western Wind and Solar Integration Study is to understand the costs and operating impacts due to the variability and uncertainty of wind, PV, and CSP on the grid. This is mainly an operations study, (rather than a transmission study), although different scenarios model different transmission build-outs to deliver power. Using a detailed power system production simulation model, the study identifies operational impacts and challenges of wind energy penetration up to 30% of annual electricity consumption.

  2. Great Plains Wind Energy Transmission Development Project

    SciTech Connect (OSTI)

    Brad G. Stevens, P.E.; Troy K. Simonsen; Kerryanne M. Leroux

    2012-06-09T23:59:59.000Z

    In fiscal year 2005, the Energy & Environmental Research Center (EERC) received funding from the U.S. Department of Energy (DOE) to undertake a broad array of tasks to either directly or indirectly address the barriers that faced much of the Great Plains states and their efforts to produce and transmit wind energy at the time. This program, entitled Great Plains Wind Energy Transmission Development Project, was focused on the central goal of stimulating wind energy development through expansion of new transmission capacity or development of new wind energy capacity through alternative market development. The original task structure was as follows: Task 1 - Regional Renewable Credit Tracking System (later rescoped to Small Wind Turbine Training Center); Task 2 - Multistate Transmission Collaborative; Task 3 - Wind Energy Forecasting System; and Task 4 - Analysis of the Long-Term Role of Hydrogen in the Region. As carried out, Task 1 involved the creation of the Small Wind Turbine Training Center (SWTTC). The SWTTC, located Grand Forks, North Dakota, consists of a single wind turbine, the Endurance S-250, on a 105-foot tilt-up guyed tower. The S-250 is connected to the electrical grid on the 'load side' of the electric meter, and the power produced by the wind turbine is consumed locally on the property. Establishment of the SWTTC will allow EERC personnel to provide educational opportunities to a wide range of participants, including grade school through college-level students and the general public. In addition, the facility will allow the EERC to provide technical training workshops related to the installation, operation, and maintenance of small wind turbines. In addition, under Task 1, the EERC hosted two small wind turbine workshops on May 18, 2010, and March 8, 2011, at the EERC in Grand Forks, North Dakota. Task 2 involved the EERC cosponsoring and aiding in the planning of three transmission workshops in the midwest and western regions. Under Task 3, the EERC, in collaboration with Meridian Environmental Services, developed and demonstrated the efficacy of a wind energy forecasting system for use in scheduling energy output from wind farms for a regional electrical generation and transmission utility. With the increased interest at the time of project award in the production of hydrogen as a critical future energy source, many viewed hydrogen produced from wind-generated electricity as an attractive option. In addition, many of the hydrogen production-related concepts involve utilization of energy resources without the need for additional electrical transmission. For this reason, under Task 4, the EERC provided a summary of end uses for hydrogen in the region and focused on one end product in particular (fertilizer), including several process options and related economic analyses.

  3. Fluctuations of offshore wind generation -Statistical modelling , L.E.A. Christensen, H. Madsen

    E-Print Network [OSTI]

    of power fluctuations at large offshore wind farms has a significant impact on the control and management of their parameters. Simulation results are given for the case of the Horns Rev and Nysted offshore wind farms. An overview of offshore wind energy in Europe is given in [1]. Such large offshore wind farms concentrate

  4. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    also provide power to off- grid sites (see, e.g. , ForsythAWEA 2009b). Application Off-grid On-grid TOTAL Source: AWEA

  5. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2006-05-01T23:59:59.000Z

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

  6. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2007-05-01T23:59:59.000Z

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

  7. Sunflower Wind Farm EA

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

    Sunflower Wind Farm EA Sunflower Wind Farm Draft EA (25mb pdf) Note: If you have problems downloading this file, pelase contact Lou Hanebury at (406) 255-2812 Sunflower Wind Farm...

  8. NREL: Wind Research - NREL's WIND Toolkit Provides the Data Needed to

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S. Wind IntegrationConduct

  9. Grid Integration of Robotic Telescopes

    E-Print Network [OSTI]

    F. Breitling; T. Granzer; H. Enke

    2009-03-23T23:59:59.000Z

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

  10. Smart Grid Enabled EVSE

    SciTech Connect (OSTI)

    None, None

    2014-10-15T23:59:59.000Z

    The combined team of GE Global Research, Federal Express, National Renewable Energy Laboratory, and Consolidated Edison has successfully achieved the established goals contained within the Department of Energy’s Smart Grid Capable Electric Vehicle Supply Equipment funding opportunity. The final program product, shown charging two vehicles in Figure 1, reduces by nearly 50% the total installed system cost of the electric vehicle supply equipment (EVSE) as well as enabling a host of new Smart Grid enabled features. These include bi-directional communications, load control, utility message exchange and transaction management information. Using the new charging system, Utilities or energy service providers will now be able to monitor transportation related electrical loads on their distribution networks, send load control commands or preferences to individual systems, and then see measured responses. Installation owners will be able to authorize usage of the stations, monitor operations, and optimally control their electricity consumption. These features and cost reductions have been developed through a total system design solution.

  11. A Disturbance Margin For Quantifying Limits on Power Smoothing by Wind Turbines

    E-Print Network [OSTI]

    Maggiore, Manfredi

    the robustness of other control laws. Index Terms Wind power generation, Nonlinear systems, Kinetic energy, State the first assumption. With wind energy systems providing an ever growing portion of total generation, expectation of these systems to support frequency regulation in the power grid is emerging. Proposals

  12. EA-1939: Reese Technology Center Wind and Battery Integration Project, Lubbock County, TX

    Broader source: Energy.gov [DOE]

    This EA will evaluate the potential environmental impacts of a proposal by the Center for Commercialization of Electric Technologies to demonstrate battery technology integration with wind generated electricity by deploying and evaluating utility-scale lithium battery technology to improve grid performance and thereby aid in the integration of wind generation into the local electricity supply.

  13. Impacts of Large-Scale Wind Generators Penetration on the Voltage Stability of Power Systems

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    development of wind energy tech- nology and the current world-wide status of grid-connected as well as standImpacts of Large-Scale Wind Generators Penetration on the Voltage Stability of Power Systems M. J systems and their dynamic behaviours to identify critical issues that limit the large-scale integration

  14. LED Lighting Off the Grid

    Energy Savers [EERE]

    D. & Kammen, D. M. Decentralized energy systems for clean electricity access. Nature Climate Change accepted, in press, (2015). Off-Grid Status Quo : Fuel Based Lighting...

  15. 2014 Modern Power Grid Video

    SciTech Connect (OSTI)

    None

    2014-06-02T23:59:59.000Z

    A video from NETL that describes the details of a modern power grid and how it can help our nation save on energy costs.

  16. Smart Grid | Argonne National Laboratory

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

    Researchers from Argonne National Laboratory modeled several scenarios to add more solar power to the electric grid, using real-world data from the southwestern power...

  17. Buildings to Grid Integration & Interoperability

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

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

  18. Smart Grid Data Integrity Attack

    E-Print Network [OSTI]

    Poolla, Kameshwar

    2012-01-01T23:59:59.000Z

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

  19. National Grid Energy Efficiency Plans

    Broader source: Energy.gov [DOE]

    Presentation covers the National Grid Energy Efficiency plans and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Providence, Rhode Island.

  20. Sandia National Laboratories: Grid Integration

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

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