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Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
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1

Ceramics Processing and Microstructural Development Instructor: Prof. Trudy Kriven  

E-Print Network (OSTI)

with : - The American Ceramic Society Bulletin - Ceramic Industry - The MRS Bulletin #12;Text and References Text: M. NMATSE 421 Ceramics Processing and Microstructural Development Instructor: Prof. Trudy Kriven 105 principles and understanding of microstructure development and processing of ceramic materials

Weaver, John H.

2

Utility Wind Integration Group Distributed Wind/Solar Interconnection...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Utility Wind Integration Group Distributed WindSolar Interconnection Workshop Utility Wind Integration Group Distributed WindSolar Interconnection Workshop May 21, 2013 8:00AM...

3

Distributed Wind Market Applications  

SciTech Connect

Distributed wind energy systems provide clean, renewable power for on-site use and help relieve pressure on the power grid while providing jobs and contributing to energy security for homes, farms, schools, factories, private and public facilities, distribution utilities, and remote locations. America pioneered small wind technology in the 1920s, and it is the only renewable energy industry segment that the United States still dominates in technology, manufacturing, and world market share. The series of analyses covered by this report were conducted to assess some of the most likely ways that advanced wind turbines could be utilized apart from large, central station power systems. Each chapter represents a final report on specific market segments written by leading experts in this field. As such, this document does not speak with one voice but rather a compendium of different perspectives, which are documented from a variety of people in the U.S. distributed wind field.

Forsyth, T.; Baring-Gould, I.

2007-11-01T23:59:59.000Z

4

Distributed Wind Market Applications  

NLE Websites -- All DOE Office Websites (Extended Search)

Distributed Wind Market Distributed Wind Market Applications T. Forsyth and I. Baring-Gould Technical Report NREL/TP-500-39851 November 2007 NREL is operated by Midwest Research Institute â—Ź Battelle Contract No. DE-AC36-99-GO10337 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle Contract No. DE-AC36-99-GO10337 Technical Report NREL/TP-500-39851 November 2007 Distributed Wind Market Applications T. Forsyth and I. Baring-Gould Prepared under Task No. WER6.7502 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

5

Distributed Wind | Open Energy Information  

Open Energy Info (EERE)

Distributed Wind Distributed Wind Jump to: navigation, search Distributed wind energy systems provide clean, renewable power for on-site use and help relieve pressure on the power grid while providing jobs and contributing to energy security for homes, farms, schools, factories, private and public facilities, distribution utilities, and remote locations.[1] Resources Clean Energy States Alliance. (2010). State-Based Financing Tools to Support Distributed and Community Wind Projects. Accessed September 27, 2013. This guide reviews the financing role that states, and specifically state clean energy funds, have played and can play in supporting community and distributed wind projects. Clean Energy States Alliance. (May 2010). Supporting Onsite Distributed Wind Generation Projects. Accessed September 27, 2013.

6

Surface wind speed distributions| Implications for climate and wind power.  

E-Print Network (OSTI)

?? Surface constituent and energy fluxes, and wind power depend non-linearly on wind speed and are sensitive to the tails of the wind distribution. Until… (more)

Capps, Scott Blair

2010-01-01T23:59:59.000Z

7

Symposium on the Nature of Science—Trudy R. Turner  

NLE Websites -- All DOE Office Websites (Extended Search)

PRIMATES AND EVOLUTION: EXAMPLES FROM THE FIELD PRIMATES AND EVOLUTION: EXAMPLES FROM THE FIELD Trudy R. Turner Watch the talk (Running time 29:57) Video in Frame Detached Video Some users have reported problems with the "Video in Frame" option. If you have problems, please try the "Detached Video" option. Requires RealPlayer 7.0 or higher. Get RealPlayer Primatologists, like other animal behaviorists, try to understand the evolution of social behavior and social systems. To do this they employ ideas and tools from a variety of disciplines including genetics, ecology, endocrinology, anatomy, physiology and behavior. Over the past 20 years we have attempted to link these disciplines in our understanding of the life history of vervet monkeys. Vervet monkeys are a widely distributed Old

8

Distributed Wind Energy in Idaho  

SciTech Connect

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.

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

2009-01-31T23:59:59.000Z

9

UWIG Distributed Wind Impacts Analysis Tool Progress Report: Utility Wind Interest Group Distributed Wind Impacts Project  

Science Conference Proceedings (OSTI)

Distributed wind generation systems consist of small clusters of wind turbines located near small load centers and connected directly to the distribution system. Depending on the electrical characteristics of the distribution line, the type of wind turbine, and the relative locations of the interconnection to the distribution system, the substation, and customer connections, distributed wind generation can significantly affect the stability, power quality, and operations of the distribution line. As a re...

2004-03-29T23:59:59.000Z

10

Utility Wind Integration Group Distributed Wind/Solar Interconnection  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Utility Wind Integration Group Distributed Wind/Solar Utility Wind Integration Group Distributed Wind/Solar Interconnection Workshop Utility Wind Integration Group Distributed Wind/Solar Interconnection Workshop May 21, 2013 8:00AM MDT to May 22, 2013 5:00PM MDT Golden, Colorado This two-day workshop will answer your questions about interconnecting wind and solar plants and other distributed generation applications to electric distribution systems while providing insight on integrating large-scale renewable generation into the transmission system. Held at the National Renewable Energy Laboratory's (NREL) state-of-the-art Energy Systems Integration Facility (ESIF) on the first day and at the Western Area Power Administration's Electric Power Training Center (EPTC) on the second day, the workshop will provide an overview of wind and solar interconnection

11

ASYMMETRIC SOLAR WIND ELECTRON DISTRIBUTIONS  

Science Conference Proceedings (OSTI)

The present paper provides a possible explanation for the solar wind electron velocity distribution functions possessing asymmetric energetic tails. By numerically solving the electrostatic weak turbulence equations that involve nonlinear interactions among electrons, Langmuir waves, and ion-sound waves, it is shown that different ratios of ion-to-electron temperatures lead to the generation of varying degrees of asymmetric tails. The present finding may be applicable to observations in the solar wind near 1 AU and in other regions of the heliosphere and interplanetary space.

Yoon, Peter H.; Kim, Sunjung; Lee, Junggi; Lee, Junhyun; Park, Jongsun; Park, Kyungsun; Seough, Jungjoon [School of Space Research, Kyung Hee University, Yongin-Si, Gyeonggi-Do 446-701 (Korea, Republic of); Hong, Jinhy [Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 305-701 (Korea, Republic of)

2012-08-20T23:59:59.000Z

12

SOLAR WIND ION AND ELECTRON DISTRIBUTION  

E-Print Network (OSTI)

SOLAR WIND ION AND ELECTRON DISTRIBUTION FUNCTIONS AND THE TRANSITION FROM FLUID TO KINETIC 2010 #12;Overview The solar wind as a laboratory to understand plasma dynamics As a function of beta/NASA) The corona is not in hydrostatic equilibrium and a supersonic solar wind is generated. The solar wind

13

Distributed Wind Power Generation - National Renewable Energy ...  

Technology breakthrough in roof-top distributed wind power generation Multi-billion $ market opportunity in next 10 years – recent venture capital investments

14

Distributed Wind Policy Comparison Tool Guidebook  

DOE Green Energy (OSTI)

Power through Policy: 'Best Practices' for Cost-Effective Distributed Wind is a U.S. Department of Energy (DOE)-funded project to identify distributed wind technology policy best practices and to help policymakers, utilities, advocates, and consumers examine their effectiveness using a pro forma model. Incorporating a customized feed from the Database of State Incentives for Renewables and Efficiency (DSIRE), the Web-based Distributed Wind Policy Comparison Tool (Policy Tool) is designed to assist state, local, and utility officials in understanding the financial impacts of different policy options to help reduce the cost of distributed wind technologies. The Policy Tool can be used to evaluate the ways that a variety of federal and state policies and incentives impact the economics of distributed wind (and subsequently its expected market growth). It also allows policymakers to determine the impact of policy options, addressing market challenges identified in the U.S. DOE's '20% Wind Energy by 2030' report and helping to meet COE targets.

Not Available

2011-11-01T23:59:59.000Z

15

The Probability Distribution of Wind Power From a Dispersed Array of Wind Turbine Generators  

Science Conference Proceedings (OSTI)

A method is presented for estimating the probability distribution of wind power from a dispersed array of wind turbine sites where the correlation between wind speeds at distinct sites is less than unity. The distribution is obtained from a model ...

John Carlin; John Haslett

1982-03-01T23:59:59.000Z

16

The Probability Distribution of Land Surface Wind Speeds  

Science Conference Proceedings (OSTI)

The probability density function (pdf) of land surface wind speeds is characterized using a global network of observations. Daytime surface wind speeds are shown to be broadly consistent with the Weibull distribution, while nighttime surface wind ...

Adam H. Monahan; Yanping He; Norman McFarlane; Aiguo Dai

2011-08-01T23:59:59.000Z

17

Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)  

DOE Green Energy (OSTI)

This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

Hodge, B. M.; Milligan, M.

2011-07-01T23:59:59.000Z

18

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

DOE Green Energy (OSTI)

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.

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

2013-09-01T23:59:59.000Z

19

Wind Power Forecasting Error Distributions over Multiple Timescales: Preprint  

DOE Green Energy (OSTI)

In this paper, we examine the shape of the persistence model error distribution for ten different wind plants in the ERCOT system over multiple timescales. Comparisons are made between the experimental distribution shape and that of the normal distribution.

Hodge, B. M.; Milligan, M.

2011-03-01T23:59:59.000Z

20

Review of Weibull Statistics for Estimation of Wind Speed Distributions  

Science Conference Proceedings (OSTI)

A statistical distribution commonly used for describing measured wind speed data is the Weibull distribution. A review of the methods found in the statistical literature for the purpose of estimation of the parameters in Weibull distributions is ...

K. Conradsen; L. B. Nielsen; L. P. Prahm

1984-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Fitting of Weibull distribution to study wind energy potential in Kuala Terengganu, Malaysia  

Science Conference Proceedings (OSTI)

A feasibility study on the wind energy potential of Kuala Terengganu, Malaysia was carried out. The most commonly used distribution to fit wind speed data is the Weibull distribution. This distribution was applied to wind speed data for the year 2008. ... Keywords: beaufort scale, weibull distribution, wind data, wind distribution pattern, wind energy potential

A. M. Razali; M. S. Sapuan; K. Ibrahim; A. R. Ismail; A. Zaharim; K. Sopian

2009-12-01T23:59:59.000Z

22

Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution  

SciTech Connect

Wind power, a renewable energy source, can play an important role in electrical energy generation. Information regarding wind energy potential is important both for energy related modeling and for decision-making in the policy community. While wind speed datasets with high spatial and temporal resolution are often ultimately used for detailed planning, simpler assumptions are often used in analysis work. An accurate representation of the wind speed frequency distribution is needed in order to properly characterize wind energy potential. Using a power density method, this study estimated global variation in wind parameters as fitted to a Weibull density function using NCEP/CFSR reanalysis data. The estimated Weibull distribution performs well in fitting the time series wind speed data at the global level according to R2, root mean square error, and power density error. The spatial, decadal, and seasonal patterns of wind speed distribution were then evaluated. We also analyzed the potential error in wind power estimation when a commonly assumed Rayleigh distribution (Weibull k = 2) is used. We find that the assumption of the same Weibull parameter across large regions can result in substantial errors. While large-scale wind speed data is often presented in the form of average wind speeds, these results highlight the need to also provide information on the wind speed distribution.

Zhou, Yuyu; Smith, Steven J.

2013-09-09T23:59:59.000Z

23

Distributed Wind - Economical, Clean Energy for Industrial Facilities  

E-Print Network (OSTI)

Distributed wind energy works for industrial clients. Corporations and other organizations are choosing to add Distributed Wind energy to their corporate goals for a numerous reasons: economic, environmental, marketing, values, and attracting new employees to name a few. The energy and economic impact of these projects can vary widely and be difficult to demonstrate. This paper and presentation will explore the appropriate application and bottom line economics of distributed wind energy through the review of two case studies.

Trapanese, A.; James, F.

2011-01-01T23:59:59.000Z

24

The Wind farm effect to the Distribution system.  

E-Print Network (OSTI)

??Main goal in this thesis that it gives view how wind production effect to distribution system. For this I have used material from Fortum and… (more)

Koistinen, Pasi

2010-01-01T23:59:59.000Z

25

DOE Announces Webinars on the Distributed Wind Power Market,...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Retrofits Financial Analysis Tool, and More DOE Announces Webinars on the Distributed Wind Power Market, Lighting Retrofits Financial Analysis Tool, and More August 16, 2013 -...

26

Distributed Wind Site Analysis Tool (DSAT) | Open Energy Information  

Open Energy Info (EERE)

Distributed Wind Site Analysis Tool (DSAT) Distributed Wind Site Analysis Tool (DSAT) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Distributed Wind Site Analysis Tool (DSAT) Focus Area: Renewable Energy Topics: Opportunity Assessment & Screening Website: dsat.cadmusgroup.com/Default.aspx Equivalent URI: cleanenergysolutions.org/content/distributed-wind-site-analysis-tool-d Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance The Distributed Wind Site Analysis Tool (DSAT) is a powerful online tool for conducting detailed site assessments for single turbine projects, from residential to community scale. The tool offers users the ability to analyse potential wind turbine installment projects based on the type of turbine being installed, the terrain of the installment site, and the

27

Distributed Wind Policy Comparison Tool | Open Energy Information  

Open Energy Info (EERE)

Distributed Wind Policy Comparison Tool Distributed Wind Policy Comparison Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Distributed Wind Policy Comparison Tool Focus Area: Renewable Energy Topics: Policy Impacts Website: www.eformativeoptions.com/distributed-wind-policy-comparison-tool-news Equivalent URI: cleanenergysolutions.org/content/distributed-wind-policy-comparison-to Language: English Policies: "Deployment Programs,Financial Incentives,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: Feed-in Tariffs This Web-based tool allows users to identify policies that have had the most (and least) impact on improving the bottom line economics of wind

28

An Improved Method for Estimating the Wind Power Density Distribution Function  

Science Conference Proceedings (OSTI)

The wind power density (WPD) distribution curve is essential for wind power assessment and wind turbine engineering. The usual practice of estimating this curve from wind speed data is to first estimate the wind speed probability density function ...

Mark L. Morrissey; Werner E. Cook; J. Scott Greene

2010-07-01T23:59:59.000Z

29

Distributions of Envelope and Phase in Wind Waves  

Science Conference Proceedings (OSTI)

A theoretical expression derived previously for describing the joint distribution of the envelope and phase of second-order nonlinear waves is verified with wind wave measurements gathered in the North Sea. The same distribution is explored ...

M. Aziz Tayfun

2008-12-01T23:59:59.000Z

30

Reference wind speed distributions and height profiles for wind turbine design and performance evaluation applications. [USA  

DOE Green Energy (OSTI)

The purpose of this report is to provide a set of reference or standard values of wind profiles, wind speed distributions and their effects on wind turbine performance for engineering design applications. Based on measured Weibull distribution parameters, representative average, low, and high variance data are given for height profiles of mean, 25 percentile, and 75 percentile wind speeds; and for wind speed probability density (velocity frequency) functions and cumulative probability (velocity duration) functions at selected heights. Results of a sensitivity analysis of the dependence of wind turbine performance parameters on cut-in speed, and rated speed for various mean wind and wind variance regimes are also presented. Wind turbine performance is expressed in terms of capacity factor (ratio of mean power output to rated power) and recovery factor (ratio of mean energy output to energy theoretically available in the wind). The representative high, mean, and low variance cases were determined from calculated Weibull distributions at 140 sites across the Continental U.S., and all of the representative functions are evaluated at mean wind speeds of 4, 5, 6, 7, and 8 m/s at standard 10 m level.

Justus, C.G.; Hargraves, W.R.; Mikhail, A.

1976-08-01T23:59:59.000Z

31

DOE Announces Webinars on the Distributed Wind Power Market, Lighting  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Announces Webinars on the Distributed Wind Power Market, DOE Announces Webinars on the Distributed Wind Power Market, Lighting Retrofits Financial Analysis Tool, and More DOE Announces Webinars on the Distributed Wind Power Market, Lighting Retrofits Financial Analysis Tool, and More August 16, 2013 - 12:00pm Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies to training for the clean energy workforce. Webinars are free; however, advanced registration is typically required. You can also watch archived webinars and browse previously aired videos, slides, and transcripts. Upcoming Webinars August 21: Live Webinar on the 2012 Distributed Wind Market Report Webinar Sponsor: EERE's Wind and Water Power Technologies Program The Energy Department will present a live webcast titled "2012 Market

32

2012 Market Report on Wind Technologies in Distributed Applications  

Wind Powering America (EERE)

1 1 Wind Program 2012 Market Report on Wind Technologies in Distributed Applications Alice Orrell, Pacific Northwest National Laboratory Heather Rhoads-Weaver, eFormative Options, LLC PNNL-SA-97689 2 What is "Distributed Wind"? Distributed wind is used on or near where it is generated and is... Not just small scale; could be any size turbine or array Employed by households, schools, farms, industrial facilities, municipalities Found in all 50 states and Puerto Rico and the U.S. Virgin Islands A large portion of turbines installed in U.S. on a per unit basis And has been used for more than 2,000 years to pump water and grind grain Photo Credit: Tom Rivers/The (Batavia, N.Y.) Daily News Photo Credit: Gamesa 3 Benefits of Distributed Wind

33

Wind Power Forecasting Error Distributions: An International Comparison; Preprint  

DOE Green Energy (OSTI)

Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

2012-09-01T23:59:59.000Z

34

DOE Announces Webinars on the Distributed Wind Power Market,...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Utility Energy Service Contracts, and More DOE Announces Webinars on the Distributed Wind Power Market, Utility Energy Service Contracts, and More August 21, 2013 - 12:00pm Addthis...

35

DOE Hydrogen Analysis Repository: Distributed Hydrogen Production from Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

from Wind from Wind Project Summary Full Title: Well-to-Wheels Case Study: Distributed Hydrogen Production from Wind Project ID: 216 Principal Investigator: Fred Joseck Keywords: Wind; hydrogen production; well-to-wheels (WTW); fuel cell vehicles (FCV); electrolysis Purpose Provide well-to-wheels energy use and emissions data on a potential pathway for producing hydrogen from wind via distributed water electrolysis. This data was used in developing the U.S. Department of Energy Hydrogen Posture Plan. Performer Principal Investigator: Fred Joseck Organization: DOE/EERE/HFCIT Address: 1000 Independence Avenue, SW Washington, DC 20585 Telephone: 202-586-7932 Email: Fred.Joseck@ee.doe.gov Additional Performers: Margaret Mann, National Renewable Energy Laboratory; Michael Wang, Argonne National Laboratory

36

Empirical Models of the Probability Distribution of Sea Surface Wind Speeds  

Science Conference Proceedings (OSTI)

This study considers the probability distribution of sea surface wind speeds, which have historically been modeled using the Weibull distribution. First, non-Weibull structure in the observed sea surface wind speeds (from SeaWinds observations) ...

Adam Hugh Monahan

2007-12-01T23:59:59.000Z

37

Development of Wind Speed Forecasting Model Based on the Weibull Probability Distribution  

Science Conference Proceedings (OSTI)

Wind is a variable energy source. The power output of a wind turbine generator (WTG) unit, therefore, fluctuates with wind speed variations. Accurate models reflecting the variability of wind speed is hence required in both reliability evaluation of ... Keywords: Wind Energy, Wind Speed Forecasting Model, Weibull Distribution, Maximum Likelihood Method, Time Series Model

Ruigang Wang; Wenyi Li; B. Bagen

2011-02-01T23:59:59.000Z

38

VAR Support from Distributed Wind Energy Resources: Preprint  

DOE Green Energy (OSTI)

As the size and quantity of wind farms and other distributed generation facilities increase, especially in relation to local grids, the importance of a reactive power compensator or VAR support from these facilities becomes more significant. Poorly done, it can result in cycling or inadequate VAR support, and the local grid could experience excessive voltage regulation and, ultimately, instability. Improved wind turbine and distributed generation power control technologies are creating VAR support capabilities that can be used to enhance the voltage regulation and stability of local grids. Locating VAR support near the point of consumption, reducing step size, and making the control active all improve the performance of the grid. This paper presents and discusses alternatives for improving the integration of VAR support from distributed generation facilities such as wind farms. We also examine the relative effectiveness of distributed VAR support on the local grid and how it can b e integrated with the VAR support of the grid operator.

Romanowitz, H.; Muljadi, E.; Butterfield, C. P.; Yinger, R.

2004-07-01T23:59:59.000Z

39

2012 Market Report on Wind Technologies in Distributed Applications  

Wind Powering America (EERE)

2012 Market Report on Wind Technologies in Distributed Applications 2012 Market Report on Wind Technologies in Distributed Applications August 21, 2013 Coordinator: Welcome and thank you all for holding. I'd like to inform participants that your lines are in a listen only for the duration of today's conference call. If you should need the operator's assistance, please press star then 0. Today's conference is also being recorded. If anyone has any objections, you may disconnect. I would now like to turn the call over to your host, Suzanne Tegen. You may begin. Suzanne Tegen: Thank you. Hi, everyone, and welcome to our monthly Wind Powering America Webinar. Thank you for joining us. I'm Suzanne Tegen from NREL and I'm filling in for Ian Baring-Gould for this webinar. As always, we're grateful to the Department of Energy's Wind and Water

40

Integrating wind turbines into the Orcas Island distribution system  

DOE Green Energy (OSTI)

This research effort consists of two years of wind data collection and analysis to investigate the possibility of strategically locating a megawatt (MW) scale wind farm near the end of an Orcas Power and light Company (OPALCO) 25-kilovolt (kV) distribution circuit to defer the need to upgrade the line to 69 kV. The results of this study support the results of previous work in which another year of wind data and collection was performed. Both this study and the previous study show that adding a MW-scale wind farm at the Mt. Constitution site is a feasible alternative to upgrading the OPALCO 25-kV distribution circuit to 69 kV.

Zaininger, H.W. [Zaininger Engineering Co., Roseville, CA (United States)

1998-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Distributed connected wind farms (Smart Grid Project) (Limerick, Ireland) |  

Open Energy Info (EERE)

Distributed connected wind farms (Smart Grid Project) (Limerick, Ireland) Distributed connected wind farms (Smart Grid Project) (Limerick, Ireland) Jump to: navigation, search Project Name Distributed connected wind farms Country Ireland Headquarters Location Limerick, Ireland Coordinates 52.663857°, -8.626773° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":52.663857,"lon":-8.626773,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

42

Comparison of Wind Power and Load Forecasting Error Distributions: Preprint  

DOE Green Energy (OSTI)

The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

2012-07-01T23:59:59.000Z

43

Iowa Distributed Wind Generation Project | Open Energy Information  

Open Energy Info (EERE)

Generation Project Generation Project Jump to: navigation, search Name Iowa Distributed Wind Generation Project Facility Iowa Distributed Wind Generation Project Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Consortium -- Cedar Falls leads with 2/3 ownership Developer Iowa Distributed Wind Generation Project Energy Purchaser Consortium -- Cedar Falls leads with 2/3 ownership Location Algona IA Coordinates 43.0691°, -94.2255° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.0691,"lon":-94.2255,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

44

Wind farm connection to Serbian distribution network - austere quality requirements vs. more economical power distribution  

Science Conference Proceedings (OSTI)

The paper presents the effects of severe demands on the quality of voltage that is raising the existing Serbian Technical recommendation no. 16. Possibilities of wind farm connection subject to the requirements in terms of voltage change in the transitional ... Keywords: connection, distribution network, energy efficiency, voltage quality, wind farm

Saša Mini?; Dragan Tasi?

2011-07-01T23:59:59.000Z

45

DOE Announces Webinars on the Distributed Wind Power Market, Lighting  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Lighting Retrofits Financial Analysis Tool, and More Lighting Retrofits Financial Analysis Tool, and More DOE Announces Webinars on the Distributed Wind Power Market, Lighting Retrofits Financial Analysis Tool, and More August 16, 2013 - 12:00pm Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies to training for the clean energy workforce. Webinars are free; however, advanced registration is typically required. You can also watch archived webinars and browse previously aired videos, slides, and transcripts. Upcoming Webinars August 21: Live Webinar on the 2012 Distributed Wind Market Report Webinar Sponsor: EERE's Wind and Water Power Technologies Program The Energy Department will present a live webcast titled "2012 Market

46

Perspectives on an NWCC/NREL Assessment of Distributed Wind  

DOE Green Energy (OSTI)

During 1998 and 1999, the National Wind Coordinating Committee (NWCC) conducted an assessment of distributed wind power. The project team was led by Princeton Economic Research, Inc., now known as Princeton Energy Resources International (PERI). Financial support was provided by the US Department of Energy (DOE) through the wind energy program at the National Renewable Energy Laboratory (NREL) and the Electric Power Research Institute (EPRI). Project oversight and review were provided by NWCC's Distributed Working Group. The overall objective for the NWCC assessment was to enhance understanding of business, policy, and technical issues associated with the deployment of wind-electric generating systems in the distributed-generation mode. In general, that mode is defined by placement of the generation close to customers-in contrast to large, distant central stations-and by electrical interconnection to the local distribution system-in contrast to higher voltage electrical transmission systems. As a follow-up to the assessment, NWCC intends to prepare a consensus-based issue brief that summarizes its findings and highlights the major results and conclusions for each stakeholder sector. This brief will also identify key action steps that could be undertaken by each stakeholder sector to facilitate the growth of distributed wind. The aim of this paper is to provide input to the NWCC for its consideration in developing the issue brief. Accordingly, this paper is in no way an NWCC consensus document. However, the authors hope to assist in the issue-brief preparation process by providing a starting point for NWCC's consideration. One of the authors, Joseph Cohen, led the team that performed the NWCC assessment. The other two were involved in management of the assessment effort on behalf of the contracting organizations and are active members of the NWCC. They feel the perspectives offered in this paper are well-grounded in the findings of the assessment research and can help in moving the consensus process forward.

Parsons, B. (National Renewable Energy Laboratory); Cohen, J. (Princeton Energy Resources International, LLC); DeMeo, E. (Renewable Energy Consulting Services, Inc.)

2000-09-13T23:59:59.000Z

47

Voltage control scheme in distribution network with double feed induction generator wind farm  

Science Conference Proceedings (OSTI)

This paper presents the particle swarm optimization (PSO) for reactive power and voltage control (Volt/Var Control) in distribution system considering DFIG wind farm. In this paper, the reactive power output of DFIG wind farm has been considered as the ... Keywords: DFIG wind turbine, Volt/Var control, distribution network, optimization, particle swarm, wind farm

Jingjing Zhao; Xin Li; Jutao Hao

2009-08-01T23:59:59.000Z

48

Top 8 Things You Didn't Know About Distributed Wind | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Distributed Wind Distributed Wind Top 8 Things You Didn't Know About Distributed Wind August 9, 2013 - 5:49pm Addthis Small-Scale Distributed Wind: Northern Power Systems 100 kW turbine at the top of Burke Mountain in East Burke, Vermont. | Photo courtesy of Northern Power Systems. Small-Scale Distributed Wind: Northern Power Systems 100 kW turbine at the top of Burke Mountain in East Burke, Vermont. | Photo courtesy of Northern Power Systems. Mid-Sized Distributed Wind: Two mid-sized wind turbines in operation at Wayne Industrial Sustainability Park in Ontario, New York. | Photo courtesy of Sustainable Energy Developments, Inc. Mid-Sized Distributed Wind: Two mid-sized wind turbines in operation at Wayne Industrial Sustainability Park in Ontario, New York. | Photo courtesy

49

Making the Economic Case for Small-Scale Distributed Wind -- A Screening for Distributed Generation Wind Opportunities: Preprint  

DOE Green Energy (OSTI)

This study was an offshoot of a previous assessment, which examined the potential for large-scale, greater than 50 MW, wind development on occupied federal agency lands. The study did not find significant commercial wind development opportunities, primarily because of poor wind resource on available and appropriately sized land areas or land use or aesthetic concerns. The few sites that could accommodate a large wind farm failed to have transmission lines in optimum locations required to generate power at competitive wholesale prices. The study did identify a promising but less common distributed generation (DG) development option. This follow-up study documents the NREL/Global Energy Concepts team efforts to identify economic DG wind projects at a select group of occupied federal sites. It employs a screening strategy based on project economics that go beyond quantity of windy land to include state and utility incentives as well as the value of avoided power purchases. It attempts to account for the extra costs and difficulties associated with small projects through the use of project scenarios that are more compatible with federal facilities and existing land uses. These benefits and barriers of DG are discussed, and the screening methodology and results are included. The report concludes with generalizations about the screening method and recommendations for improvement and other potential applications for this methodology.

Kandt, A.; Brown, E.; Dominick, J.; Jurotich, T.

2007-06-01T23:59:59.000Z

50

Distributed Wind Policy Comparison Tool Website | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Distributed Wind Policy Comparison Tool Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Distributed Wind Policy Comparison Tool Website Focus Area: Renewable Energy Topics: Security & Reliability Website: www.eformativeoptions.com/dwpolicytool/ Equivalent URI: cleanenergysolutions.org/content/distributed-wind-policy-comparison-to Language: English Policies: "Deployment Programs,Financial Incentives,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Project Development Regulations: "Utility/Electricity Service Costs,Feed-in Tariffs,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

51

The Characteristics of Wind Velocity that Favor the Fitting of a Weibull Distribution in Wind Speed Analysis  

Science Conference Proceedings (OSTI)

The derivation of the Weibull distribution from the bivariate normal distribution provides theoretical justification for its use in wind speed analysis if four conditions are met. These conditions are that the orthogonal components of horizontal ...

Stanton E. Tuller; Arthur C. Brett

1984-01-01T23:59:59.000Z

52

Joint optimization algorithm for network reconfiguration and reactive power control of wind farm in distribution system  

Science Conference Proceedings (OSTI)

In recent years, the number of small size wind farms used as DG sources located within the distribution system are rapidly increasing. Wind farm made up with doubly fed induction generators (DFIG) is proposed in this paper as the continuous reactive ... Keywords: DFIG wind turbine, network reconfiguration, particle swarm optimization, reactive power control, wind farm

Jingjing Zhao; Xin Li; Jiping Lu; Congli Zhang

2009-02-01T23:59:59.000Z

53

Improving the reliability of wind power through spatially distributed wind generation.  

E-Print Network (OSTI)

??Wind power is a fast-growing, sustainable energy source. However, the problem of wind variability as it relates to wind power reliability is an obstacle to… (more)

Fisher, Samuel Martin

2012-01-01T23:59:59.000Z

54

Model-predicted distribution of wind-induced internal wave energy in the world's oceans  

E-Print Network (OSTI)

Model-predicted distribution of wind-induced internal wave energy in the world's oceans Naoki 9 July 2008; published 30 September 2008. [1] The distribution of wind-induced internal wave energy-scaled kinetic energy are all consistent with the available observations in the regions of significant wind

Miami, University of

55

Using Solar Business Models to Expand the Distributed Wind Market (Presentation)  

DOE Green Energy (OSTI)

This presentation to attendees at Wind Powering America's All-States Summit in Chicago describes business models that were responsible for rapid growth in the solar industry and that may be applicable to the distributed wind industry as well.

Savage, S.

2013-05-01T23:59:59.000Z

56

Note on the Use of the Inverse Gaussian Distribution for Wind Energy Applications  

Science Conference Proceedings (OSTI)

The inverse Gaussian distribution is suggested as an alternative to the three-parameter Weibull distribution for the description of wind speed data with low frequencies of low speeds. A comparison of the two distributions indicates a region of ...

W. E. Bardsley

1980-09-01T23:59:59.000Z

57

Installer Issues: Integrating Distributed Wind into Local Communities (Presentation)  

DOE Green Energy (OSTI)

A presentation for the WindPower 2006 Conference in Pittsburgh, PA, regarding the issues facing installer of small wind electric systems.

Green, J.

2006-06-01T23:59:59.000Z

58

Wind generating capacity is distributed unevenly across the United ...  

U.S. Energy Information Administration (EIA)

The highest concentration of wind turbines in the United States is in the Great Plains states, where the best conditions for onshore wind power generation exist.

59

Inviscid Wind-Turbine Analysis Using Distributed Vorticity Elements.  

E-Print Network (OSTI)

??With the recent push for green energy technologies by governments around the world, interest in wind energy has skyrocketed. From 2006 to 2009 worldwide wind… (more)

Basom, Blair

2010-01-01T23:59:59.000Z

60

2012 Market Report on U.S. Wind Technologies in Distributed Applications  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2012 Market Report on U.S. Wind Technologies in Distributed 2012 Market Report on U.S. Wind Technologies in Distributed Applications Webinar 2012 Market Report on U.S. Wind Technologies in Distributed Applications Webinar August 21, 2013 3:00PM EDT Webinar DOE will present a live webcast titled "2012 Market Report on U.S. Wind Technologies in Distributed Applications" on Wednesday, August 21, from 3:00 p.m. to 4:00 p.m. Eastern Daylight Time. Alice Orrell, energy analyst at Pacific Northwest National Laboratory, and Heather Rhoads-Weaver, principal consultant at eFormative Options, will provide a detailed overview of the Energy Department's 2012 Market Report on Wind Technologies in Distributed Applications. Jennifer Jenkins of the Distributed Wind Energy Association will provide an industry-focused update, reflecting on

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)  

SciTech Connect

This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

Hodge, B. M.; Ela, E.; Milligan, M.

2011-10-01T23:59:59.000Z

62

Overcoming Technical and Market Barriers for Distributed Wind Applications: Reaching the Mainstream; Preprint  

DOE Green Energy (OSTI)

This paper describes how the distributed wind industry must overcome hurdles including system costs and interconnection and installation restrictions to reach its mainstream market potential.

Rhoads-Weaver, H.; Forsyth, T.

2006-07-01T23:59:59.000Z

63

2012 Market Report on U.S. Wind Technologies in Distributed Applicatio...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

principal consultant at eFormative Options, will provide a detailed overview of the Energy Department's 2012 Market Report on Wind Technologies in Distributed Applications....

64

Deployment Barriers to Distributed Wind Energy: Workshop Report -- October 28, 2010  

DOE Green Energy (OSTI)

This report presents key findings from the Department of Energy's Deployment Barriers to Distributed Wind Technology Workshop, held October 28, 2010 in Denver, Colorado.

Not Available

2011-07-01T23:59:59.000Z

65

Estimation of Wind Speed Distribution Using Markov Chain Monte Carlo Techniques  

Science Conference Proceedings (OSTI)

The Weibull distribution is the most commonly used statistical distribution for describing wind speed data. Maximum likelihood has traditionally been the main method of estimation for Weibull parameters. In this paper, Markov chain Monte Carlo ...

Wan-Kai Pang; Jonathan J. Forster; Marvin D. Troutt

2001-08-01T23:59:59.000Z

66

Inflow Turbulence Energy and its Spatial Distribution on a Wind Turbine  

E-Print Network (OSTI)

Inflow Turbulence Energy and its Spatial Distribution on a Wind Turbine Christopher Wright Dr caused the most variability of turbulence energy while high wind shear exponents caused the least........................................................................................................................ 18 #12;Completion report on our project to empirically evaluate energy distribution in unique spatial

Manuel, Lance

67

2012 Market Report on U.S. Wind Technologies in Distributed Applications  

SciTech Connect

At the end of 2012, U.S. wind turbines in distributed applications reached a 10-year cumulative installed capacity of more than 812 MW from more than 69,000 units across all 50 states. In 2012 alone, nearly 3,800 wind turbines totaling 175 MW of distributed wind capacity were documented in 40 states and in the U.S. Virgin Islands, with 138 MW using utility-scale turbines (i.e., greater than 1 MW in size), 19 MW using mid-size turbines (i.e., 101 kW to 1 MW in size), and 18.4 MW using small turbines (i.e., up to 100 kW in size). Distributed wind is defined in terms of technology application based on a wind project’s location relative to end-use and power-distribution infrastructure, rather than on technology size or project size. Distributed wind systems are either connected on the customer side of the meter (to meet the onsite load) or directly to distribution or micro grids (to support grid operations or offset large loads nearby). Estimated capacity-weighted average costs for 2012 U.S. distributed wind installations was $2,540/kW for utility-scale wind turbines, $2,810/kW for mid-sized wind turbines, and $6,960/kW for newly manufactured (domestic and imported) small wind turbines. An emerging trend observed in 2012 was an increased use of refurbished turbines. The estimated capacity-weighted average cost of refurbished small wind turbines installed in 2012 was $4,080/kW. As a result of multiple projects using utility-scale turbines, Iowa deployed the most new overall distributed wind capacity, 37 MW, in 2012. Nevada deployed the most small wind capacity in 2012, with nearly 8 MW of small wind turbines installed in distributed applications. In the case of mid-size turbines, Ohio led all states in 2012 with 4.9 MW installed in distributed applications. State and federal policies and incentives continued to play a substantial role in the development of distributed wind projects. In 2012, U.S. Treasury Section 1603 payments and grants and loans from the U.S. Department of Agriculture’s Rural Energy for America Program were the main sources of federal funding for distributed wind projects. State and local funding varied across the country, from rebates to loans, tax credits, and other incentives. Reducing utility bills and hedging against potentially rising electricity rates remain drivers of distributed wind installations. In 2012, other drivers included taking advantage of the expiring U.S. Treasury Section 1603 program and a prosperous year for farmers. While 2012 saw a large addition of distributed wind capacity, considerable barriers and challenges remain, such as a weak domestic economy, inconsistent state incentives, and very competitive solar photovoltaic and natural gas prices. The industry remains committed to improving the distributed wind marketplace by advancing the third-party certification process and introducing alternative financing models, such as third-party power purchase agreements and lease-to-own agreements more typical in the solar photovoltaic market. Continued growth is expected in 2013.

Orrell, Alice C.; Flowers, L. T.; Gagne, M. N.; Pro, B. H.; Rhoads-Weaver, H. E.; Jenkins, J. O.; Sahl, K. M.; Baranowski, R. E.

2013-08-06T23:59:59.000Z

68

Trends and Interannual Variability of Wind Speed Distributions in Minnesota  

Science Conference Proceedings (OSTI)

Near-surface wind speed variability is investigated at seven stations in and surrounding Minnesota for recent climate records of 22–35 yr in length. Analyses focus on mean annual wind speeds and on the 10th, 25th, 50th, 75th, and 90th percentiles ...

Katherine Klink

2002-11-01T23:59:59.000Z

69

Optimal wind turbines placement within a distribution market environment  

Science Conference Proceedings (OSTI)

This paper proposes a hybrid optimization method for optimal allocation of wind turbines (WTs) that combines genetic algorithm (GA) and market-based optimal power flow (OPF). The method jointly maximizes net present value (NPV) related to WTs investment ... Keywords: Genetic algorithm, Net present value, Social welfare maximization, Wind turbines

Geev Mokryani, Pierluigi Siano

2013-10-01T23:59:59.000Z

70

Zoning for Distributed Wind Power - Breaking Down Barriers: Preprint  

DOE Green Energy (OSTI)

Zoning regulations for the use of small wind turbines vary from state to state and from one local jurisdiction to the next. This paper examines the zoning experiences of small wind turbine owners, options for local actions, and examples of state and federal limited preemption of local zoning authority as a means of promoting the implementation of new technologies.

Green, J.; Sagrillo, M.

2005-08-01T23:59:59.000Z

71

Coordinated operations of distributed wind generation in a distribution system using PMUs.  

E-Print Network (OSTI)

??Wind energy is becoming one of the most widely implemented forms of renewable energy worldwide. Traditionally, wind has been considered a non-dispatchable source of energy… (more)

Vijayarengan, Manoaj Srikumar

2012-01-01T23:59:59.000Z

72

Novel Control of PV Solar and Wind Farm Inverters as STATCOM for Increasing Connectivity of Distributed Generators.  

E-Print Network (OSTI)

??The integration of distributed generators (DGs) such as wind farms and PV solar farms in distribution networks is getting severely constrained due to problems of… (more)

AC, Mahendra

2013-01-01T23:59:59.000Z

73

Molldeing and Simulation of a Small-Scale Wind Turbine Generator in Isolated Distribution Network  

Science Conference Proceedings (OSTI)

In recent years, the wind energy capacity is rapidly increasing in importance as a share of electricity supply on worldwide basis. A small-scale wind turbine generator is usually installed in an isolated distribution network. This paper aims to justzjj ...

2007-09-01T23:59:59.000Z

74

Tests of the Generalized Pareto Distribution for Predicting Extreme Wind Speeds  

Science Conference Proceedings (OSTI)

Extreme wind speed predictions are often based on statistical analysis of site measurements of annual maxima, using one of the Generalized Extreme Value (GEV) distributions. An alternative method applies one of the Generalized Pareto ...

B. B. Brabson; J. P. Palutikof

2000-09-01T23:59:59.000Z

75

The Distribution of C2n as Measured by 50-, 405-, and 915-MHz Wind Profilers  

Science Conference Proceedings (OSTI)

The distribution of backscattered power was computed for three wind profilers in the Colorado network that operated at 50,405, and 915 MHz. Since the backscattered power is a function of fluctuations in the refractivity index, this power ...

A. S. Frisch; B. L. Weber

1992-06-01T23:59:59.000Z

76

Hazards to Electrical Distribution in Coastal Areas Subject to Flooding and High Wind  

Science Conference Proceedings (OSTI)

EPRI, Dewberry and Davis, and the Federal Emergency Management Agency (FEMA) have jointly prepared this study on hazards to electrical distribution in coastal areas that experience coastal and river flooding and high wind.

2000-09-08T23:59:59.000Z

77

The Effects of Vertical Wind Shear on the Distribution of Convection in Tropical Cyclones  

Science Conference Proceedings (OSTI)

The influence of vertical wind shear on the azimuthal distribution of cloud-to-ground lightning in tropical cyclones was examined using flash locations from the National Lightning Detection Network. The study covers 35 Atlantic basin tropical ...

Kristen L. Corbosiero; John Molinari

2002-08-01T23:59:59.000Z

78

Impact of SCIG and DFIG Type Wind Turbine on the Stability of Distribution Networks: static and dynamic  

E-Print Network (OSTI)

Impact of SCIG and DFIG Type Wind Turbine on the Stability of Distribution Networks: static fed induction generator (DFIG) type wind turbine in distribution networks. The analysis is carried out and DFIG type wind turbines have significant impact on the static voltage stability, power loss

Pota, Himanshu Roy

79

Final Technical Report Power through Policy: "Best Practices" for Cost-Effective Distributed Wind  

SciTech Connect

Power through Policy: 'Best Practices' for Cost-Effective Distributed Wind is a U.S. Department of Energy (DOE)-funded project to identify distributed wind technology policy best practices and to help policymakers, utilities, advocates, and consumers examine their effectiveness using a pro forma model. Incorporating a customized feed from the Database of State Incentives for Renewables and Efficiency (DSIRE), the Web-based Distributed Wind Policy Comparison Tool (Policy Tool) is designed to assist state, local, and utility officials in understanding the financial impacts of different policy options to help reduce the cost of distributed wind technologies. The project's final products include the Distributed Wind Policy Comparison Tool, found at www.windpolicytool.org, and its accompanying documentation: Distributed Wind Policy Comparison Tool Guidebook: User Instructions, Assumptions, and Case Studies. With only two initial user inputs required, the Policy Tool allows users to adjust and test a wide range of policy-related variables through a user-friendly dashboard interface with slider bars. The Policy Tool is populated with a variety of financial variables, including turbine costs, electricity rates, policies, and financial incentives; economic variables including discount and escalation rates; as well as technical variables that impact electricity production, such as turbine power curves and wind speed. The Policy Tool allows users to change many of the variables, including the policies, to gauge the expected impacts that various policy combinations could have on the cost of energy (COE), net present value (NPV), internal rate of return (IRR), and the simple payback of distributed wind projects ranging in size from 2.4 kilowatts (kW) to 100 kW. The project conducted case studies to demonstrate how the Policy Tool can provide insights into 'what if' scenarios and also allow the current status of incentives to be examined or defended when necessary. The ranking of distributed wind state policy and economic environments summarized in the attached report, based on the Policy Tool's default COE results, highlights favorable market opportunities for distributed wind growth as well as market conditions ripe for improvement. Best practices for distributed wind state policies are identified through an evaluation of their effect on improving the bottom line of project investments. The case studies and state rankings were based on incentives, power curves, and turbine pricing as of 2010, and may not match the current results from the Policy Tool. The Policy Tool can be used to evaluate the ways that a variety of federal and state policies and incentives impact the economics of distributed wind (and subsequently its expected market growth). It also allows policymakers to determine the impact of policy options, addressing market challenges identified in the U.S. DOE's '20% Wind Energy by 2030' report and helping to meet COE targets. In providing a simple and easy-to-use policy comparison tool that estimates financial performance, the Policy Tool and guidebook are expected to enhance market expansion by the small wind industry by increasing and refining the understanding of distributed wind costs, policy best practices, and key market opportunities in all 50 states. This comprehensive overview and customized software to quickly calculate and compare policy scenarios represent a fundamental step in allowing policymakers to see how their decisions impact the bottom line for distributed wind consumers, while estimating the relative advantages of different options available in their policy toolboxes. Interested stakeholders have suggested numerous ways to enhance and expand the initial effort to develop an even more user-friendly Policy Tool and guidebook, including the enhancement and expansion of the current tool, and conducting further analysis. The report and the project's Guidebook include further details on possible next steps. NREL Report No. BK-5500-53127; DOE/GO-102011-3453.

Rhoads-Weaver, Heather; Gagne, Matthew; Sahl, Kurt; Orrell, Alice; Banks, Jennifer

2012-02-28T23:59:59.000Z

80

Power through Policy: "Best Practices" for Cost-Effective Distributed Wind  

DOE Green Energy (OSTI)

Power through Policy: 'Best Practices' for Cost-Effective Distributed Wind is a U.S. Department of Energy (DOE)-funded project to identify distributed wind technology policy best practices and to help policymakers, utilities, advocates, and consumers examine their effectiveness using a pro forma model. Incorporating a customized feed from the Database of State Incentives for Renewables and Efficiency (DSIRE), the Web-based Distributed Wind Policy Comparison Tool (Policy Tool) is designed to assist state, local, and utility officials in understanding the financial impacts of different policy options to help reduce the cost of distributed wind technologies. The project's final products include the Distributed Wind Policy Comparison Tool, found at www.windpolicytool.org, and its accompanying documentation: Distributed Wind Policy Comparison Tool Guidebook: User Instructions, Assumptions, and Case Studies. With only two initial user inputs required, the Policy Tool allows users to adjust and test a wide range of policy-related variables through a user-friendly dashboard interface with slider bars. The Policy Tool is populated with a variety of financial variables, including turbine costs, electricity rates, policies, and financial incentives; economic variables including discount and escalation rates; as well as technical variables that impact electricity production, such as turbine power curves and wind speed. The Policy Tool allows users to change many of the variables, including the policies, to gauge the expected impacts that various policy combinations could have on the cost of energy (COE), net present value (NPV), internal rate of return (IRR), and the simple payback of distributed wind projects ranging in size from 2.4 kilowatts (kW) to 100 kW. The project conducted case studies to demonstrate how the Policy Tool can provide insights into 'what if' scenarios and also allow the current status of incentives to be examined or defended when necessary. The ranking of distributed wind state policy and economic environments summarized in the attached report, based on the Policy Tool's default COE results, highlights favorable market opportunities for distributed wind growth as well as market conditions ripe for improvement. Best practices for distributed wind state policies are identified through an evaluation of their effect on improving the bottom line of project investments. The case studies and state rankings were based on incentives, power curves, and turbine pricing as of 2010, and may not match the current results from the Policy Tool. The Policy Tool can be used to evaluate the ways that a variety of federal and state policies and incentives impact the economics of distributed wind (and subsequently its expected market growth). It also allows policymakers to determine the impact of policy options, addressing market challenges identified in the U.S. DOE's '20% Wind Energy by 2030' report and helping to meet COE targets. In providing a simple and easy-to-use policy comparison tool that estimates financial performance, the Policy Tool and guidebook are expected to enhance market expansion by the small wind industry by increasing and refining the understanding of distributed wind costs, policy best practices, and key market opportunities in all 50 states. This comprehensive overview and customized software to quickly calculate and compare policy scenarios represent a fundamental step in allowing policymakers to see how their decisions impact the bottom line for distributed wind consumers, while estimating the relative advantages of different options available in their policy toolboxes. Interested stakeholders have suggested numerous ways to enhance and expand the initial effort to develop an even more user-friendly Policy Tool and guidebook, including the enhancement and expansion of the current tool, and conducting further analysis. The report and the project's Guidebook include further details on possible next steps. NREL Report No. BK-5500-53127; DOE/GO-102011-3453.

Rhoads-Weaver, Heather; Gagne, Matthew; Sahl, Kurt; Orrell, Alice; Banks, Jennifer

2012-02-28T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Can Satellite Sampling of Offshore Wind Speeds Realistically Represent Wind Speed Distributions?  

Science Conference Proceedings (OSTI)

Wind speeds over the oceans are required for a range of applications but are difficult to obtain through in situ methods. Hence, remote sensing tools, which also offer the possibility of describing spatial variability, represent an attractive ...

R. J. Barthelmie; S. C. Pryor

2003-01-01T23:59:59.000Z

82

DOE Announces Webinars on the Distributed Wind Power Market, Utility Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Utility Energy Service Contracts, and More Utility Energy Service Contracts, and More DOE Announces Webinars on the Distributed Wind Power Market, Utility Energy Service Contracts, and More August 21, 2013 - 12:00pm Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies to training for the clean energy workforce. Webinars are free; however, advanced registration is typically required. You can also watch archived webinars and browse previously aired videos, slides, and transcripts. Upcoming Webinars August 21: Live Webinar on the 2012 Distributed Wind Market Report Webinar Sponsor: EERE's Wind and Water Power Technologies Program The Energy Department will present a live webcast titled "2012 Market Report on U.S. Wind Technologies in Distributed Applications" on Wednesday,

83

Maximizing Real-Time Distribution of Wind-Electricity to Electrical Thermal Storage Units for Residential Space Heating.  

E-Print Network (OSTI)

??Wind-electricity is unpredictable in both intensity and duration. This thesis presents the design and implementation of Client-pull and Server-push architectures for the distribution of wind-electricity… (more)

Barnes, Andrew

2011-01-01T23:59:59.000Z

84

Distributed connected wind farms (Smart Grid Project) | Open Energy  

Open Energy Info (EERE)

connected wind farms connected wind farms Country Ireland Headquarters Location Kerry, Ireland Coordinates 52.061413°, -9.526437° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":52.061413,"lon":-9.526437,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

85

Applying wind turbines and battery storage to defer Orcas Power and Light Company distribution circuit upgrades  

DOE Green Energy (OSTI)

The purpose of this study is to conduct a detailed assessment of the Orcas Power and Light Company (OPALCO) system to determine the potential for deferring the costly upgrade of the 25-kV Lopez- Eastsound circuit, by the application of a MW-scale wind farm and battery storage facilities as appropriate. Local wind resource data has been collected over the past year and used to determine MW-scale wind farm performance. This hourly wind farm performance data is used with measured hourly Eastsound load data, and recent OPALCO distribution system expansion plans and cost projections in performing this detailed benefit-cost assessment. The OPALCO distribution circuit expansion project and assumptions are described. MW-scale wind farm performance results are given. The economic benefit-cost results for the wind farm and battery storage applications on the OPALCO system using OPALCO system design criteria and cost assumptions are reported. A recalculation is presented of the benefit-cost results for similar potential wind farm and battery storage applications on other utility systems with higher marginal energy and demand costs. Conclusions and recommendations are presented.

Zaininger, H.W.; Barnes, P.R. [Zaininger Engineering Co., Inc., San Jose, CA (United States)

1997-03-01T23:59:59.000Z

86

Iowa / Nebraska Distributed Wind Generation Projects First and Second-Year Operating Experience: 1999-2001: U.S. Department of Energ y - EPRI Wind Turbine Verification Program  

Science Conference Proceedings (OSTI)

The Wind Turbine Verification Program (TVP) is a collaborative effort of the U.S. Department of Energy (DOE), EPRI, and host utilities to develop, construct, and operate wind power plants. This report describes the first- and second-year operating experience at the 2.25-MW Iowa Distributed Wind Generation Project (IDWGP) in Algona, Iowa, and the 1.5-MW Nebraska Distributed Wind Generation Project (NDWGP) in Springview, Nebraska. The lessons learned in both projects will be valuable to other utilities pla...

2001-12-03T23:59:59.000Z

87

Impact of dispersed solar and wind systems on electric distribution planning and operation  

DOE Green Energy (OSTI)

Small-scale dispersed solar photovoltaic and wind generation (DSW) will affect the generation, transmission, and distribution systems of an electric utility. This study examines the technical and economic impacts of dispersing DSW devices within the distribution system. Dispersed intermittent generation is included. Effects of DSW devices on capital investments, reliability, operating and maintenance costs, protection requirements, and communication and control requirements are examined. A DSW operation model is developed to help determine the dependable capacity of fluctuating solar photovoltaic and wind generation as part of the distribution planning process. Specific case studies using distribution system data and renewable resource data for Southern California Edison Company and Consumers Power Company are analyzed to gain insights into the effects of interconnecting DSW devices. The DSW devices were found to offer some distribution investment savings, depending on their availability during peak loads. For a summer-peaking utility, for example, dispersing photovoltaic systems is more likely to defer distribution capital investments than dispersing wind systems. Dispersing storage devices to increase DSW's dependable capacity for distribution systems needs is not economically attractive. Substation placement of DSW and storage devices is found to be more cost effective than feeder or customer placement. Examination of the effects of DSW on distribution system operation showed that small customer-owned DSW devices are not likely to disrupt present time-current distribution protection coordination. Present maintenance work procedures, are adequate to ensure workmen's safety. Regulating voltages within appropriate limits will become more complex with intermittent generation along the distribution feeders.

Boardman, R.W.; Patton, R.; Curtice, D.H.

1981-02-01T23:59:59.000Z

88

Analysis of the Technical and Economic Potential for Mid-Scale Distributed Wind: December 2007 - October 31, 2008  

DOE Green Energy (OSTI)

This report examines the status, restrainers, drivers, and estimated development potential of mid-scale (10 kW - 5000 kW) distributed wind energy projects.

Kwartin, R.; Wolfrum, A.; Granfield, K.; Kagel, A.; Appleton, A.

2008-12-01T23:59:59.000Z

89

Distributed Wind Case Study: Cross Island Farms, Wellesley Island, New York (Fact Sheet), NREL (National Renewable Energy Laboratory)  

NLE Websites -- All DOE Office Websites (Extended Search)

Distributed Wind Case Study: Cross Island Farms, Wellesley Island, New York Distributed Wind Case Study: Cross Island Farms, Wellesley Island, New York www.nrel.gov Baker and Belding installed a 10-kW Bergey Excel wind turbine in August 2011. Photo from Cross Island Farms, NREL/PIX 19923 Funding Summary * Total cost of wind turbine, including first developer: $82,000 * Total cost of wind turbine, excluding first developer: $73,000 * Total cost of solar: $40,000 * Propane generator: $8,000; including equipment, installation, and propane: $13,000 * USDA REAP grant: $20,506 (~25% of

90

Control Strategies for Distributed Energy Resources to Maximize the Use of Wind Power in Rural Microgrids  

Science Conference Proceedings (OSTI)

The focus of this paper is to design control strategies for distributed energy resources (DERs) to maximize the use of wind power in a rural microgrid. In such a system, it may be economical to harness wind power to reduce the consumption of fossil fuels for electricity production. In this work, we develop control strategies for DERs, including diesel generators, energy storage and demand response, to achieve high penetration of wind energy in a rural microgrid. Combinations of centralized (direct control) and decentralized (autonomous response) control strategies are investigated. Detailed dynamic models for a rural microgrid are built to conduct simulations. The system response to large disturbances and frequency regulation are tested. It is shown that optimal control coordination of DERs can be achieved to maintain system frequency while maximizing wind power usage and reducing the wear and tear on fossil fueled generators.

Lu, Shuai; Elizondo, Marcelo A.; Samaan, Nader A.; Kalsi, Karanjit; Mayhorn, Ebony T.; Diao, Ruisheng; Jin, Chunlian; Zhang, Yu

2011-10-10T23:59:59.000Z

91

The Influence of Boundary Layer Processes on the Diurnal Variation of the Climatological Near-Surface Wind Speed Probability Distribution over Land  

Science Conference Proceedings (OSTI)

Knowledge of the diurnally varying land surface wind speed probability distribution is essential for surface flux estimation and wind power management. Global observations indicate that the surface wind speed probability density function (PDF) is ...

Yanping He; Norman A. McFarlane; Adam H. Monahan

2012-09-01T23:59:59.000Z

92

Estimation of fatigue and extreme load distributions from limited data with application to wind energy systems.  

SciTech Connect

An estimate of the distribution of fatigue ranges or extreme loads for wind turbines may be obtained by separating the problem into two uncoupled parts, (1) a turbine specific portion, independent of the site and (2) a site-specific description of environmental variables. We consider contextually appropriate probability models to describe the turbine specific response for extreme loads or fatigue. The site-specific portion is described by a joint probability distribution of a vector of environmental variables, which characterize the wind process at the hub-height of the wind turbine. Several approaches are considered for combining the two portions to obtain an estimate of the extreme load, e.g., 50-year loads or fatigue damage. We assess the efficacy of these models to obtain accurate estimates, including various levels of epistemic uncertainty, of the turbine response.

Fitzwater, LeRoy M. (Stanford University, Stanford, CA)

2004-01-01T23:59:59.000Z

93

Power Quality of Distributed Wind Projects in the Turbine Verification Program  

DOE Green Energy (OSTI)

The Electric Power Research Institute/U.S. Department of Energy (EPRI/DOE) Turbine Verification Program (TVP) includes four distributed wind generation projects connected to utility distribution feeders located in Algona, Iowa; Springview, Nebraska; Glenmore, Wisconsin; and Kotzebue, Alaska. The TVP has undertaken power quality measurements at each project to assess the impact that power quality has on the local utility grids. The measurements and analysis were guided by the draft IEC 61400-21 standard for power quality testing of wind turbines. The power quality characteristics measured include maximum power, distribution feeder voltage regulation, reactive power, and harmonics. This paper describes the approach to the measurements, the unique electrical system features of the four projects, and an assessment of measured power quality relative to limits prescribed by standards. It also gives anecdotal stories from each project regarding the impact of power quality on the respective distribution feeders.

Green, J; VandenBosche, J.; Lettenmaier, T.; Randall, G; Wind, T

2001-09-13T23:59:59.000Z

94

Impact of dispersed solar and wind systems on electric distribution planning and operation  

SciTech Connect

Small-scale dispersed solar photovoltaic and wind generation (DSW) will affect the generation, transmission, and distribution systems of an electric utility. This study examines the technical and economic impacts of dispersing DSW devices within the distribution system. Dispersed intermittent generation is included. Effects of DSW devices on capital investments, reliability, operating and maintenance costs, protection requirements, and communication and control requirements are examined. A DSW operation model is developed to help determine the dependable capacity of fluctuating solar photovoltaic and wind generation as part of the distribution planning process. Specific case studies using distribution system data and renewable resource data for Southern California Edison Company and Consumers Power Company are analyzed to gain insights into the effects of interconnecting DSW devices. The DSW devices were found to offer some distribution investment savings, depending on their availability during peak loads. For a summer-peaking utility, for example, dispersing photovoltaic systems is more likely to defer distribution capital investments than dispersing wind systems. Dispersing storage devices to increase DSW's dependable capacity for distribution systems needs is not economically attractive. Substation placement of DSW and storage devices is found to be more cost effective than feeder or customer placement. Examination of the effects of DSW on distribution system operation showed that small customer-owned DSW devices are not likely to disrupt present time-current distribution protection coordination. Present maintenance work procedures, are adequate to ensure workmen's safety. Regulating voltages within appropriate limits will become more complex with intermittent generation along the distribution feeders.

Boardman, R.W.; Patton, R.; Curtice, D.H.

1981-02-01T23:59:59.000Z

95

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

Science Conference Proceedings (OSTI)

The impact of wind and load forecast errors on power grid operations is frequently evaluated by conducting multi-variant studies, where these errors are simulated repeatedly as random processes based on their known statistical characteristics. To generate these errors correctly, we need to reflect their distributions (which do not necessarily follow a known distribution law), standard deviations, auto- and cross-correlations. For instance, load and wind forecast errors can be closely correlated in different zones of the system. This paper introduces a new methodology for generating multiple cross-correlated random processes to simulate forecast error curves based on a transition probability matrix computed from an empirical error distribution function. The matrix will be used to generate new error time series with statistical features similar to observed errors. We present the derivation of the method and present some experimental results by generating new error forecasts together with their statistics.

Makarov, Yuri V.; Reyes Spindola, Jorge F.; Samaan, Nader A.; Diao, Ruisheng; Hafen, Ryan P.

2010-11-02T23:59:59.000Z

96

FARADAY ROTATION DISTRIBUTIONS FROM STELLAR MAGNETISM IN WIND-BLOWN BUBBLES  

SciTech Connect

Faraday rotation is a valuable tool for detecting magnetic fields. Here, the technique is considered in relation to wind-blown bubbles. In the context of spherical winds with azimuthal or split monopole stellar magnetic field geometries, we derive maps of the distribution of position angle (P.A.) rotation of linearly polarized radiation across projected bubbles. We show that the morphology of maps for split monopole fields are distinct from those produced by the toroidal field topology; however, the toroidal case is the one most likely to be detectable because of its slower decline in field strength with distance from the star. We also consider the important case of a bubble with a spherical sub-volume that is field-free to approximate crudely a 'swept-up' wind interaction between a fast wind (or possibly a supernova ejecta shell) overtaking a slower magnetized wind from a prior state of stellar evolution. With an azimuthal field, the resultant P.A. map displays two arc-like features of opposite rotation measure, similar to observations of the supernova remnant G296.5+10.0. We illustrate how P.A. maps can be used to disentangle Faraday rotation contributions made by the interstellar medium versus the bubble. Although our models involve simplifying assumptions, their consideration leads to a number of general robust conclusions for use in the analysis of radio mapping data sets.

Ignace, R. [Department of Physics and Astronomy, East Tennessee State University, Johnson City, TN 37614 (United States)] [Department of Physics and Astronomy, East Tennessee State University, Johnson City, TN 37614 (United States); Pingel, N. M., E-mail: ignace@etsu.edu, E-mail: nmpingle@wisc.edu [Department of Astronomy, University of Wisconsin-Madison, Madison, WI 53711 (United States)

2013-03-01T23:59:59.000Z

97

Analysis of the Technical and Economic Potential for Mid-Scale Distributed Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

Analysis of the Technical and Analysis of the Technical and Economic Potential for Mid-Scale Distributed Wind December 2007 - October 31, 2008 R. Kwartin, A. Wolfrum, K. Granfield, A. Kagel, and A. Appleton ICF International Fairfax, Virginia Subcontract Report NREL/SR-500-44280 December 2008 An Analysis of the Technical and Economic Potential for Mid-Scale Distributed Wind December 2007 - October 31, 2008 R. Kwartin, A. Wolfrum, K. Granfield, A. Kagel, and A. Appleton ICF International Fairfax, Virginia NREL Technical Monitor: T. Forsyth Prepared under Subcontract No. AAM-8-89001-01 Subcontract Report NREL/SR-500-44280 December 2008 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy

98

ESB Networks Case Study on Distribution Volt-VAR Control Integrated with Wind Turbine Inverter Control  

Science Conference Proceedings (OSTI)

The key topic addressed in this Smart Grid Demonstration case study is how the decoupled reactive power capability of modern, doubly fed induction generator (DFIG) wind farms can be used to actively control voltage at the point of common coupling. This was done within the context of assessing technologies that will allow higher penetration of renewable resources without violating voltage limits on local distribution systems.A trial was conducted, using a section of Ireland’s ESB ...

2012-12-31T23:59:59.000Z

99

Long-Term Probability Distribution of Wind Turbine Planetary Bearing Loads (Poster)  

DOE Green Energy (OSTI)

Among the various causes of bearing damage and failure, metal fatigue of the rolling contact surface is the dominant failure mechanism. The fatigue life is associated with the load conditions under which wind turbines operate in the field. Therefore, it is important to understand the long-term distribution of the bearing loads under various environmental conditions. The National Renewable Energy Laboratory's 750-kW Gearbox Reliability Collaborative wind turbine is studied in this work. A decoupled analysis using several computer codes is carried out. The global aero-elastic simulations are performed using HAWC2. The time series of the drivetrain loads and motions from the global dynamic analysis are fed to a drivetrain model in SIMPACK. The time-varying internal pressure distribution along the raceway is obtained analytically. A series of probability distribution functions are then used to fit the long-term statistical distribution at different locations along raceways. The long-term distribution of the bearing raceway loads are estimated under different environmental conditions. Finally, the bearing fatigue lives are calculated.

Jiang, Z.; Xing, Y.; Guo, Y.; Dong, W.; Moan, T.; Gao, Z.

2013-04-01T23:59:59.000Z

100

DISTRIBUTION OF MAGNETIC DISCONTINUITIES IN THE SOLAR WIND AND IN MAGNETOHYDRODYNAMIC TURBULENCE  

Science Conference Proceedings (OSTI)

The statistical properties of magnetic discontinuities in the solar wind are investigated by measuring fluctuations in the magnetic field direction, given by the rotation {Delta}{theta} that the magnetic field vector undergoes during time interval {Delta}t. We show that the probability density function, P({Delta}{theta}), can be described by a simple model in which the magnetic field vector purely rotates with a relative increment {Delta}B/B that is lognormally distributed. We find that the probability density function of increments, P({Delta}B/B), has a remarkable scaling property: the normalized variable x = ({Delta}B/B) {center_dot} ({Delta}t/{Delta}t{sub 0}){sup -{alpha}} has a universal lognormal distribution for all time intervals {Delta}t. We then compare measurements from the solar wind with those from direct numerical simulations of magnetohydrodynamic (MHD) turbulence. We find good agreement for P({Delta}{theta}) obtained in the two cases when the magnetic guide field to fluctuations ratio B{sub 0}/b{sub rms} is chosen accordingly. However, the scale invariance of P({Delta}B/B) is broken in the MHD simulations with relatively limited inertial interval, which causes P({Delta}{theta}) to scale with measurement interval differently than in the solar wind.

Zhdankin, Vladimir; Boldyrev, Stanislav [Department of Physics, University of Wisconsin-Madison, 1150 University Avenue, Madison, WI 53706 (United States); Mason, Joanne [Department of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637 (United States)

2012-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Distribution of Magnetic Discontinuities in the Solar Wind and in MHD Turbulence  

E-Print Network (OSTI)

The statistical properties of magnetic discontinuities in the solar wind are investigated by measuring fluctuations in the magnetic field direction, given by the rotation Delta theta that the magnetic field vector undergoes during time interval Delta t. We show that the probability density function for rotations, P(Delta theta), can be described by a simple model in which the magnetic field vector rotates with a relative increment (Delta B)/B that is lognormally distributed. We find that the probability density function of increments, P((Delta B)/B), has a remarkable scaling property: the normalized variable x=[(Delta B)/B]*[(Delta t)/(Delta t_0)]^-a has a universal lognormal distribution for all time intervals Delta t. We then compare measurements from the solar wind with those from direct numerical simulations of magnetohydrodynamic (MHD) turbulence. We find good agreement for P(Delta theta) obtained in the two cases when the magnetic guide-field to fluctuations ratio B_0/b_rms is chosen accordingly. However, the scale invariance of P((Delta B)/B) is broken in the MHD simulations with relatively limited inertial interval, which causes P(Delta theta) to scale with measurement interval differently than in the solar wind.

Vladimir Zhdankin; Stanislav Boldyrev; Joanne Mason

2012-10-12T23:59:59.000Z

102

Modification of Proton Velocity Distributions by Alfvenic Turbulence in the Solar Wind  

E-Print Network (OSTI)

In the present paper, the proton velocity distribution function (VDF)in the solar wind is determined by solving numerically the kinetic evolution equation. We compare the results obtained when considering the effects of ex- ternal forces and Coulomb collisions with those obtained by adding effects of Alfven wave turbulence. We use Fokker-Planck diffusion terms due to Alfvenic turbulence, which take into account observed turbulence spectra and kinetic effects of finite proton gyroradius. Assuming a displaced Maxwellian for the proton VDF at the simulation boundary at 14 solar radii, we show that the turbulence leads to a fast (within several solar radii) development of the anti-sunward tail in the proton VDF. Our results provide a natural explanation for the nonthermal tails in the proton VDFs, which are often observed in-situ in the solar wind beyond 0.3 AU.

Pierrard, Viviane

2013-01-01T23:59:59.000Z

103

Variability of Load and Net Load in Case of Large Scale Distributed Wind Power  

Science Conference Proceedings (OSTI)

Large scale wind power production and its variability is one of the major inputs to wind integration studies. This paper analyses measured data from large scale wind power production. Comparisons of variability are made across several variables: time scale (10-60 minute ramp rates), number of wind farms, and simulated vs. modeled data. Ramp rates for Wind power production, Load (total system load) and Net load (load minus wind power production) demonstrate how wind power increases the net load variability. Wind power will also change the timing of daily ramps.

Holttinen, H.; Kiviluoma, J.; Estanqueiro, A.; Gomez-Lazaro, E.; Rawn, B.; Dobschinski, J.; Meibom, P.; Lannoye, E.; Aigner, T.; Wan, Y. H.; Milligan, M.

2011-01-01T23:59:59.000Z

104

Distributed Small-Scale Wind in New Zealand: Advantages, Barriers and Policy Support Instruments.  

E-Print Network (OSTI)

??Despite having one of the best wind resources in the world, New Zealand’s wind energy industry is growing at a slower rate than the OECD… (more)

Barry, Martin

2007-01-01T23:59:59.000Z

105

Can Satellite Sampling of Offshore Wind Speeds Realistically Represent Wind Speed Distributions? Part II: Quantifying Uncertainties Associated with Distribution Fitting Methods  

Science Conference Proceedings (OSTI)

Remote sensing tools represent an attractive proposition for measuring wind speeds over the oceans because, in principle, they also offer a mechanism for determining the spatial variability of flow. Presented here is the continuation of research ...

S. C. Pryor; M. Nielsen; R. J. Barthelmie; J. Mann

2004-05-01T23:59:59.000Z

106

Voltage Stability Analysis of a Distributed Network Incorporating Wind Power Resource  

Science Conference Proceedings (OSTI)

This paper investigates the impacts of a wind farm connected at Harterbeespoort substation in South Africa on voltage stability of the power network. The site wind speed was determined and analyzed for viability. A comparison is made between the use ...

Denis Juma; Bessie Monchusi; Josiah Munda; Adisa Jimoh

2011-01-01T23:59:59.000Z

107

Distribution of Extreme Winds in the Bonneville Power Administration Service Area  

Science Conference Proceedings (OSTI)

Annual extreme 1 min wind speeds at 78 Pacific Northwest locations were analyzed using the Fisher-Tippet type II extreme value function. From computed mean recurrence intervals, we could easily determine the wind speed likely to recur in a ...

J. William Wantz; Robert E. Sinclair

1981-12-01T23:59:59.000Z

108

Drop Shapes and Axis Ratio Distributions: Comparison between 2D Video Disdrometer and Wind-Tunnel Measurements  

Science Conference Proceedings (OSTI)

Comparisons of drop shapes between measurements made using 2D video disdrometer (2DVD) and wind-tunnel experiments are presented. Comparisons are made in terms of the mean drop shapes and the axis ratio distributions. Very close agreement of the ...

M. Thurai; V. N. Bringi; M. Szakáll; S. K. Mitra; K. V. Beard; S. Borrmann

2009-07-01T23:59:59.000Z

109

WIND DATA REPORT Presque Isle  

E-Print Network (OSTI)

WIND DATA REPORT Presque Isle December 1, 2004 ­ December 1, 2005 Prepared for United States ......................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

110

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

WIND DATA REPORT Thompson Island June 1, 2003 ­ August 31, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

Massachusetts at Amherst, University of

111

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

WIND DATA REPORT Thompson Island December 1, 2003 ­ February 29, 2004 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribution

Massachusetts at Amherst, University of

112

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

WIND DATA REPORT Thompson Island June 1, 2004 ­ August 31, 2004 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

Massachusetts at Amherst, University of

113

WIND DATA REPORT FALMOUTH, MA  

E-Print Network (OSTI)

WIND DATA REPORT FALMOUTH, MA June1, 2004 to August 31, 2004. Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 8 Wind Speed Distributions

Massachusetts at Amherst, University of

114

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

WIND DATA REPORT Thompson Island September 1, 2003 ­ November 30, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

Massachusetts at Amherst, University of

115

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

WIND DATA REPORT Thompson Island March 1, 2004 ­ May 31, 2004 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

Massachusetts at Amherst, University of

116

WIND DATA REPORT Presque Isle  

E-Print Network (OSTI)

WIND DATA REPORT Presque Isle December 1, 2004 ­ February 28, 2005 Prepared for United States.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

117

WIND DATA REPORT Presque Isle  

E-Print Network (OSTI)

WIND DATA REPORT Presque Isle March 1, 2005 ­ May 31, 2005 Prepared for United States Department.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

118

WIND DATA REPORT Presque Isle  

E-Print Network (OSTI)

WIND DATA REPORT Presque Isle June 1, 2005 ­ August 31, 2005 Prepared for United States Department...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

119

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

WIND DATA REPORT Thompson Island March 1, 2003 ­ May 31, 2003 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

120

Mass Flux and Vertical Distribution of Currents Caused by Strong Winds in a Wave Tank  

Science Conference Proceedings (OSTI)

The velocity fields of wind-driven currents under strong winds were measured in a wind-wave tank with a double bottom. The tank has the characteristics to satisfy partially the continuity of the mass flux and to reduce return-flow effects on the ...

Toshinori Ogasawara; Takashi Yasuda

2004-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Lessons Learned from the U.S. Photovoltaic Industry and Implications for Development of Distributed Small Wind: Preprint  

DOE Green Energy (OSTI)

In recent years, advocates for the solar photovoltaic (PV) industry have developed successful strategies for marketing PV as a customer-sited energy resource. Their efforts have ranged from supporting effective Federal programs and incentives to initiating state and local efforts to remove siting barriers and industry efforts that build consumer confidence. More important, PV advocates have established relationships that define customer-sited PV as a viable and important technology. The PV industry's record of success and its persistent challenges can be instructive to the small wind industry. These industries share many characteristics in terms of system outputs, applications, economics, and industry goals. In some ways, small wind is staged for growth just as PV was a decade ago. The authors provide an examination of market development issues in these industries, including Federal policy infrastructure and incentives, state and local policy infrastructure, and business support. Subsequently, the authors provide recommendations for distributed wind development that include collaborations with the PV industry and as stand-alone small wind initiatives. In particular, the authors suggest aligning customer-sited small wind (and PV) with demand-side energy strategies and emphasizing the need to address all customer-sited renewables under a cohesive distributed generation development strategy.

Forsyth, T.; Tombari, C.; Nelson, M.

2006-06-01T23:59:59.000Z

122

Lessons Learned from the U.S. Photovoltaic Industry and Implications for Development of Distributed Small Wind: Preprint  

SciTech Connect

In recent years, advocates for the solar photovoltaic (PV) industry have developed successful strategies for marketing PV as a customer-sited energy resource. Their efforts have ranged from supporting effective Federal programs and incentives to initiating state and local efforts to remove siting barriers and industry efforts that build consumer confidence. More important, PV advocates have established relationships that define customer-sited PV as a viable and important technology. The PV industry's record of success and its persistent challenges can be instructive to the small wind industry. These industries share many characteristics in terms of system outputs, applications, economics, and industry goals. In some ways, small wind is staged for growth just as PV was a decade ago. The authors provide an examination of market development issues in these industries, including Federal policy infrastructure and incentives, state and local policy infrastructure, and business support. Subsequently, the authors provide recommendations for distributed wind development that include collaborations with the PV industry and as stand-alone small wind initiatives. In particular, the authors suggest aligning customer-sited small wind (and PV) with demand-side energy strategies and emphasizing the need to address all customer-sited renewables under a cohesive distributed generation development strategy.

Forsyth, T.; Tombari, C.; Nelson, M.

2006-06-01T23:59:59.000Z

123

Lessons Learned from the U.S. Photovoltaic Industry and Implications for Development of Distributed Small Wind  

Science Conference Proceedings (OSTI)

In recent years, advocates for the solar photovoltaic (PV) industry have developed successful strategies for marketing PV as a customer-sited energy resource. Their efforts have ranged from supporting effective Federal programs and incentives to initiating state and local efforts to remove siting barriers and industry efforts that build consumer confidence. More important, PV advocates have established relationships that define customer-sited PV as a viable and important technology. The PV industry's record of success and its persistent challenges can be instructive to the small wind industry. These industries share many characteristics in terms of system outputs, applications, economics, and industry goals. In some ways, small wind is staged for growth just as PV was a decade ago. The authors provide an examination of market development issues in these industries, including Federal policy infrastructure and incentives, state and local policy infrastructure, and business support. Subsequently, the authors provide recommendations for distributed wind development that include collaborations with the PV industry and as stand-alone small wind initiatives. In particular, the authors suggest aligning customer-sited small wind (and PV) with demand-side energy strategies and emphasizing the need to address all customer-sited renewables under a cohesive distributed generation development strategy.

Forsyth, T.; Tombari, C.; Nelson, M.

2006-01-01T23:59:59.000Z

124

Evaluation of Optimal Distribution of Wind Power Facilities in Iowa for 2015  

DOE Green Energy (OSTI)

By the end of June 1999, about 250 megawatts of wind generation will have been dedicated in the state of Iowa. This represents the beginning of what is likely to be significant wind capacity development during the next 20 years in the state, as a result of possible public and governmental mandates and consumers' desire for sustainable sources of energy. As the utility industry in the United States moves towards a new structure, renewable energy sources continue to be an important part of new resource development. In this paper, we consider the predicted trends in load growth in Iowa. After accounting for the retirement of nuclear and older fossil fuel facilities over the next 15 years, we estimate Iowa's potential renewable generating capacity through the year 2015 and anticipate the contribution of wind energy to Iowa's portfolio. The Iowa Wind Energy Institute (IWEI) has been monitoring the wind resource in Iowa since June 1994 to obtain wind speed averages at 10, 33 and 50 meters above ground at fourteen geographically dispersed potential wind farm sites. Winds in the Midwest are primarily generated by fronts moving through the region. The Northwest Buffalo Ridge area of Iowa typically has wind speed averages of 7-8 m/s. Central Iowa may have typical winds slightly below this mean value. However, as a front passes through the state, there will be times when a wind farm in Central Iowa will produce more energy than one on Buffalo Ridge.

Factor, T. (Iowa Wind Energy Institute); Milligan, M. (National Renewable Energy Laboratory)

1999-08-05T23:59:59.000Z

125

Optimal site selection and sizing of distributed utility-scale wind power plants  

DOE Green Energy (OSTI)

As electric market product unbundling occurs, sellers in the wholesale market for electricity will find it to their advantage to be able to specify the quantity of electricity available and the time of availability. Since wind power plants are driven by the stochastic nature of the wind itself, this can present difficulties. To the extent that an accurate wind forecast is available, contract deviations, and therefore penalties, can be significantly reduced. Even though one might have the ability to accurately forecast the availability of wind power, it might not be available during enough of the peak period to provide sufficient value. However, if the wind power plant is developed over geographically disperse locations, the timing and availability of wind power from these multiple sources could provide a better match with the utility`s peak load than a single site. There are several wind plants in various stages of planning or development in the US. Although some of these are small-scale demonstration projects, significant wind capacity has been developed in Minnesota, with additional developments planned in Wyoming and Iowa. As these and other projects are planned and developed, there is a need to perform analysis of the value of geographically diverse sites on the efficiency of the overall wind plant. In this paper, the authors use hourly wind-speed data from six geographically diverse sites to provide some insight into the potential benefits of disperse wind plant development. They provide hourly wind power from each of these sites to an electric reliability simulation model. This model uses generating plant characteristics of the generators within the state of Minnesota to calculate various reliability indices. Since they lack data on wholesale power transactions, they do not include them in the analysis, and they reduce the hourly load data accordingly. The authors present and compare results of their methods and suggest some areas of future research.

Milligan, M.R. [National Renewable Energy Lab., Golden, CO (United States)] [National Renewable Energy Lab., Golden, CO (United States); Artig, R. [Minnesota Dept. of Public Service, St. Paul, MN (United States)] [Minnesota Dept. of Public Service, St. Paul, MN (United States)

1998-04-01T23:59:59.000Z

126

Energy Storage Solutions for Wind Generator Connected Distribution Systems in Rural Ontario.  

E-Print Network (OSTI)

??Environmental awareness and uncertainty about continued supply of fossil fuel has given rise to the renewable energy movement. Wind based power generation has been at… (more)

Rahman, Mohammed Nahid

2009-01-01T23:59:59.000Z

127

The Global Distribution of the Time-Average Wind Stress Curl from NSCAT  

Science Conference Proceedings (OSTI)

The time-average wind stress curl field for the global ocean is computed from the wind retrievals of the NASA Scatterometer (NSCAT) mission spanning the period 1 October 1996–29 June 1997. Particular attention is paid to large-amplitude, small-...

Ralph F. Milliff; Jan Morzel

2001-01-01T23:59:59.000Z

128

Northerly surface wind events over the eastern North Pacific Ocean : spatial distribution, seasonality, atmospheric circulation, and forcing  

E-Print Network (OSTI)

the surface wind along and offshore of the California coaststructure of wind offshore of California is characterized bynorthwesterly winds along and offshore of the California

Taylor, Stephen V.

2006-01-01T23:59:59.000Z

129

Northerly surface wind events over the eastern North Pacific Ocean : spatial distribution, seasonality, atmospheric circulation, and forcing  

E-Print Network (OSTI)

D. (2005), California Wind Resources, CEC publication # CEC-level inversions with surface wind and temperature at PointD. W. Stuart (1986), Mesoscale wind variability near Point

Taylor, Stephen V.

2006-01-01T23:59:59.000Z

130

Northerly surface wind events over the eastern North Pacific Ocean : spatial distribution, seasonality, atmospheric circulation, and forcing  

E-Print Network (OSTI)

the prospects for offshore wind energy production have2004) demonstrates the offshore wind field is not smooth andand the relatively smooth offshore winds in model generated

Taylor, Stephen V.

2006-01-01T23:59:59.000Z

131

An Analysis of Errors in Drop Size Distribution Retrievals and Rain Bulk Parameters with a UHF Wind Profiling Radar and a Two-Dimensional Video Disdrometer  

Science Conference Proceedings (OSTI)

Vertically pointed wind profiling radars can be used to obtain measurements of the underlying drop size distribution (DSD) for a rain event by means of the Doppler velocity spectrum. Precipitation parameters such as rainfall rate, radar ...

Laura Kanofsky; Phillip Chilson

2008-12-01T23:59:59.000Z

132

The Landfall of Hurricane Hugo in the Carolinas: Surface Wind Distribution  

Science Conference Proceedings (OSTI)

Hurricane Hugo struck Charleston, South Carolina, on 22 September 1989 as the most intense hurricane to affect the United States since Camille in 1969. The northeastern eyewall, which contained the maximum winds measured by reconnaissance ...

Mark D. Powell; Peter P. Dodge; Michael L. Black

1991-09-01T23:59:59.000Z

133

Distributed Wind Case Study: Cross Island Farms, Wellesley Island, New York (Fact Sheet)  

DOE Green Energy (OSTI)

Installing a small wind turbine can sometimes be difficult due to economics, zoning issues, public perception, and other barriers. Persistence and innovation, however, can result in a successful installation. Dani Baker and David Belding own Cross Island Farms, a 102-acre certified organic farm on Wellesley Island in northern New York. In 2009, they took their interest in renewable energy to the next level by researching the logistics of a small wind installation on their land to make their farm even more sustainable. Their renewable energy system consists of one 10-kilowatt Bergey Excel wind turbine, a solar array, and a propane-powered generator. This case study describes funding for the project and the installation process.

Not Available

2012-04-01T23:59:59.000Z

134

Optimization of the Regional Spatial Distribution of Wind Power Plants to Minimize the Variability of Wind Energy Input into Power Supply Systems  

Science Conference Proceedings (OSTI)

In contrast to conventional power generation, wind energy is not a controllable resource because of its stochastic nature, and the cumulative energy input of several wind power plants into the electric grid may cause undesired fluctuations in the ...

Federico Cassola; Massimiliano Burlando; Marta Antonelli; Corrado F. Ratto

2008-12-01T23:59:59.000Z

135

WIND DATA REPORT January -March, 2004  

E-Print Network (OSTI)

WIND DATA REPORT Vinalhaven January - March, 2004 Prepared for Fox Islands Electric Cooperative...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

136

WIND DATA REPORT Deer Island Outfall  

E-Print Network (OSTI)

WIND DATA REPORT Deer Island Outfall August 18, 2003 ­ December 4, 2003 Prepared for Massachusetts...................................................................................................................... 7 Wind Speed Time Series............................................................................................................. 7 Wind Speed Distributions

Massachusetts at Amherst, University of

137

ANNUAL WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

ANNUAL WIND DATA REPORT Thompson Island March 1, 2002 ­ February 28, 2003 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

Massachusetts at Amherst, University of

138

WIND DATA REPORT Deer Island Parking Lot  

E-Print Network (OSTI)

WIND DATA REPORT Deer Island Parking Lot May 1, 2003 ­ July 15, 2003 Prepared for Massachusetts...................................................................................................................... 7 Wind Speed Time Series............................................................................................................. 7 Wind Speed Distributions

Massachusetts at Amherst, University of

139

WIND DATA REPORT January -December, 2003  

E-Print Network (OSTI)

WIND DATA REPORT Vinalhaven January - December, 2003 Prepared for Fox Islands Electric Cooperative...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

140

New England Wind Forum: Small Wind  

Wind Powering America (EERE)

Wind for Schools Project Funding Case Studies: Thomas Harrison Middle School, Virginia Wind for Schools Project Funding Case Studies: Thomas Harrison Middle School, Virginia August 26, 2013 Workshop Explores Information's Role in Wind Project Siting: A Wind Powering America Success Story November 19, 2012 More News Subscribe to News Updates Events Renewable Energy Market Update Webinar January 29, 2014 Strategic Energy Planning: Webinar February 26, 2014 Introduction to Wind Systems March 10, 2014 More Events Publications 2012 Market Report on Wind Technologies in Distributed Applications August 12, 2013 More Publications Features Sign up for the New England Wind Forum Newsletter. New England Wind Forum About the New England Wind Forum New England Wind Energy Education Project Historic Wind Development in New England State Activities Projects in New England

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Retrieval of Raindrop Size Distributions Using Two Doppler Wind Profilers: Model Sensitivity Testing  

Science Conference Proceedings (OSTI)

The behavior of precipitation is of great importance in obtaining a better understanding of heat transport estimates and global processes in the atmosphere. This paper discusses improvements in an earlier raindrop size distribution model that ...

W. B. Maguire II; S. K. Avery

1994-12-01T23:59:59.000Z

142

Modeling Wind Speed Dependence of Marine Aerosol Distribution by a Gamma Function  

Science Conference Proceedings (OSTI)

Marine aerosol size distributions are fit to a gamma function using the technique of maximum likelihood. Aerosol measurements are separated into marine and continental components. The marine component is fit to the gamma function to provide a set ...

Andreas K. Goroch; C. W. Fairall; K. L. Davidson

1982-05-01T23:59:59.000Z

143

Wind-Induced Error of Raindrop Size Distribution Measurement Using a Two-Dimensional Video Disdrometer  

Science Conference Proceedings (OSTI)

The authors investigate a disdrometer that provides information on raindrop size distribution, terminal velocity, and shape using video imaging technology. Two video cameras are enclosed in a large box and provide images of the passing drops. The ...

Vladislav Nešpor; Witold F. Krajewski; Anton Kruger

2000-11-01T23:59:59.000Z

144

Spectral Distribution of Energy Dissipation of Wind-Generated Waves due to Dominant Wave Breaking  

Science Conference Proceedings (OSTI)

This paper considers an experimental attempt to estimate the spectral distribution of the dissipation due to breaking of dominant waves. A field wave record with an approximately 50% dominant-breaking rate was analyzed. Segments of the record, ...

Ian R. Young; Alexander V. Babanin

2006-03-01T23:59:59.000Z

145

Internal Swell Generation: The Spatial Distribution of Energy Flux from the Wind to Mixed Layer Near-Inertial Motions  

Science Conference Proceedings (OSTI)

The energy flux from the wind to inertial mixed layer motions is computed for all oceans from 50°S to 50°N for the years 1996–99. The wind stress, ?, is computed from 6-h, 2.5°-resolution NCEP–NCAR global reanalysis surface winds. The inertial ...

Matthew H. Alford

2001-08-01T23:59:59.000Z

146

A Model of the Air–Sea Momentum Flux and Breaking-Wave Distribution for Strongly Forced Wind Waves  

Science Conference Proceedings (OSTI)

Under high-wind conditions, breaking surface waves likely play an important role in the air–sea momentum flux. A coupled wind–wave model is developed based on the assumption that in the equilibrium range of surface wave spectra the wind stress is ...

Tobias Kukulka; Tetsu Hara; Stephen E. Belcher

2007-07-01T23:59:59.000Z

147

NREL: Wind Research - Small Wind Turbine Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Small Wind Turbine Research Small Wind Turbine Research The National Renewable Energy Laboratory and U.S. Department of Energy (NREL/DOE) Small Wind Project's objectives are to reduce barriers to wind energy expansion, stabilize the market, and expand the number of small wind turbine systems installed in the United States. "Small wind turbine" refers to a turbine smaller than or equal to 100 kilowatts (kW). "Distributed wind" includes small and midsize turbines (100 kW through 1 megawatt [MW]). Since 1996, NREL's small wind turbine research has provided turbine testing, turbine development, and prototype refinement leading to more commercially available small wind turbines. Work is conducted under the following areas. You can also learn more about state and federal policies

148

Making european-style community wind power development work in the United States  

E-Print Network (OSTI)

Support for Community Wind Power Development. LBNL-54715.at 2003 Oklahoma Wind Power and Bioenergy Conference, JuneWind. 2001. Distributed Wind Power Assessment. Prepared for

Bolinger, Mark A.

2004-01-01T23:59:59.000Z

149

Standardized Software for Wind Load Forecast Error Analyses and Predictions Based on Wavelet-ARIMA Models - Applications at Multiple Geographically Distributed Wind Farms  

Science Conference Proceedings (OSTI)

Given the multi-scale variability and uncertainty of wind generation and forecast errors, it is a natural choice to use time-frequency representation (TFR) as a view of the corresponding time series represented over both time and frequency. Here we use wavelet transform (WT) to expand the signal in terms of wavelet functions which are localized in both time and frequency. Each WT component is more stationary and has consistent auto-correlation pattern. We combined wavelet analyses with time series forecast approaches such as ARIMA, and tested the approach at three different wind farms located far away from each other. The prediction capability is satisfactory -- the day-ahead prediction of errors match the original error values very well, including the patterns. The observations are well located within the predictive intervals. Integrating our wavelet-ARIMA (‘stochastic’) model with the weather forecast model (‘deterministic’) will improve our ability significantly to predict wind power generation and reduce predictive uncertainty.

Hou, Zhangshuan; Makarov, Yuri V.; Samaan, Nader A.; Etingov, Pavel V.

2013-03-19T23:59:59.000Z

150

WIND DATA REPORT December 1 2003 February 29 2004  

E-Print Network (OSTI)

WIND DATA REPORT Paxton, MA December 1 2003 ­ February 29 2004 Prepared for Diane Dillman, Paxton.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

151

WIND DATA REPORT Camden Hills Regional High School, ME  

E-Print Network (OSTI)

WIND DATA REPORT Camden Hills Regional High School, ME March 1st 2006 to May 31th 2006 Prepared.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

152

WIND DATA REPORT September 1 2003 November 30 2003  

E-Print Network (OSTI)

WIND DATA REPORT Paxton, MA September 1 2003 ­ November 30 2003 by James F. Manwell Anthony F.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

153

WIND DATA REPORT Camden Hills Regional High School, ME  

E-Print Network (OSTI)

WIND DATA REPORT Camden Hills Regional High School, ME December 1, 2006 ­ February 28, 2007...................................................................................................................... 7 Wind Speed Time Series............................................................................................................. 8 Wind Speed Distributions

Massachusetts at Amherst, University of

154

WIND DATA REPORT March 1, 2004 May 31, 2004  

E-Print Network (OSTI)

WIND DATA REPORT Eastham March 1, 2004 ­ May 31, 2004 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

155

WIND DATA REPORT Camden Hills Regional High School, ME  

E-Print Network (OSTI)

WIND DATA REPORT Camden Hills Regional High School, ME June 1st 2006 to August 31th 2006 Prepared.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

156

WIND DATA REPORT December 1, 2003 February 29, 2004  

E-Print Network (OSTI)

WIND DATA REPORT Mt. Tom December 1, 2003 ­ February 29, 2004 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

157

WIND DATA REPORT Camden Hills Regional High School, ME  

E-Print Network (OSTI)

WIND DATA REPORT Camden Hills Regional High School, ME December 1st 2005 to February 28th 2006.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

158

WIND DATA REPORT Camden Hills Regional High School, ME  

E-Print Network (OSTI)

WIND DATA REPORT Camden Hills Regional High School, ME September 1st 2006 to November 30th 2006.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

159

WIND DATA REPORT December, 2003 February 29, 2004  

E-Print Network (OSTI)

WIND DATA REPORT Orleans December, 2003 ­ February 29, 2004 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

160

WIND DATA REPORT October 27, 2003 November 31, 2003  

E-Print Network (OSTI)

WIND DATA REPORT Orleans October 27, 2003 ­ November 31, 2003 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

WIND DATA REPORT January 1, 2004 December 31, 2004  

E-Print Network (OSTI)

WIND DATA REPORT Vinalhaven January 1, 2004 ­ December 31, 2004 Prepared for Fox Islands Electric...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

162

WIND DATA REPORT September 1, 2003 November 31, 2003  

E-Print Network (OSTI)

WIND DATA REPORT Mt. Tom September 1, 2003 ­ November 31, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

163

WIND DATA REPORT August 28 -December 31, 2002  

E-Print Network (OSTI)

WIND DATA REPORT Vinalhaven August 28 - December 31, 2002 Prepared for Fox Islands Electric...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

164

EA-1903: Kansas State University Zond Wind Energy Project, Manhattan...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Plains Wind Energy Consortium aimed at increasing the penetration of wind energy via distributed wind power generation throughout the region. PUBLIC COMMENT OPPORTUNITIES...

165

Global ocean wind power sensitivity to surface layer stability  

E-Print Network (OSTI)

2005), Evaluation of global wind power, J. Geophys. Res. ,Pryor (2003), Can satellite sampling of offshore wind speedsrealistically represent wind speed distributions? , J. Appl.

Capps, Scott B; Zender, Charles S

2009-01-01T23:59:59.000Z

166

Wind characteristics for agricultural wind energy applications  

SciTech Connect

Wind energy utilization in agriculture can provide a potentially significant savings in fuel oil consumption and ultimately a cost savings to the farmer. A knowledge of the wind characteristics within a region and at a location can contribute greatly to a more efficient and cost-effective use of this resource. Current research indicates that the important wind characteristics include mean annual wind speed and the frequency distribution of the wind, seasonal and diurnal variations in wind speed and direction, and the turbulent and gustiness characteristics of the wind. Further research is underway to provide a better definition of the total wind resource available, improved methods for siting WECS and an improved understanding of the environment to which the WECS respond.

Renne, D. S.

1979-01-01T23:59:59.000Z

167

Effects of blade configuration on flow distribution and power output of a zephyr vertical axis wind turbine.  

E-Print Network (OSTI)

??Worldwide interest in renewable energy systems has increased dramatically, due to environmental concerns like climate change and other factors. Wind power is a major source… (more)

Ajedegba, John Oviemuno

2008-01-01T23:59:59.000Z

168

Effects of blade configurations on flow distribution and power output of a Zephyr vertical axis wind turbine  

Science Conference Proceedings (OSTI)

Numerical simulations with FLUENT software were conducted to investigate the fluid flow through a novel vertical axis wind turbine (VAWT). Simulation of flow through the turbine rotor was performed with the aim of predicting the performance characteristics ... Keywords: blade configuration, power output, rotor, simulation, vertical axis wind turbine

J. O. Ajedegba; G. F. Naterer; M. A. Rosen; E. Tsang

2008-02-01T23:59:59.000Z

169

Wind Report | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Wind Report Wind Report Wind Report Watch as our clean energy experts answer your questions about the U.S. wind industry -- one of the largest and fastest growing wind markets in the world. Related Links Top 8 Things You Didn't Know About Distributed Wind Small-Scale Distributed Wind: Northern Power Systems 100 kW turbine at the top of Burke Mountain in East Burke, Vermont. | Photo courtesy of Northern Power Systems. Test your energy knowledge by learning interesting facts about distributed wind. Charting the Future of Energy Storage As we continue to incorporate more renewable energy into the grid, technologies that store energy like batteries will be key to providing a continuous flow of clean energy even when the wind isn't blowing and the sun doesn't shine. Wind Industry Soars to New Heights

170

NY/NJ distributed wind power field verification project. Quarterly report for the period November - December 1999  

DOE Green Energy (OSTI)

This report details the Significant Accomplishments for this quarter. The accomplishments are: (1) began preparations for host site installations; and (2) data acquisition system installation at the National Wind Technology Center (NWTC) near Boulder, CO.

Putnam, Robert Jr.

2000-01-01T23:59:59.000Z

171

The Probability Distribution of Sea Surface Wind Speeds: Effects of Variable Surface Stratification and Boundary Layer Thickness  

Science Conference Proceedings (OSTI)

Air–sea exchanges of momentum, energy, and material substances of fundamental importance to the variability of the climate system are mediated by the character of the turbulence in the atmospheric and oceanic boundary layers. Sea surface winds ...

Adam Hugh Monahan

2010-10-01T23:59:59.000Z

172

Models of Tropical Cyclone Wind Distribution and Beta-Effect Propagation for Application to Tropical Cyclone Track Forecasting  

Science Conference Proceedings (OSTI)

A model of the tangential wind speed in the outer regions of tropical cyclones is proposed based on approximate conservation of angular momentum. The purpose is to derive an operationally useful model of the beta-effect propagation (BEP), which ...

Lester E. Carr III; Russell L. Elsberry

1997-12-01T23:59:59.000Z

173

Multipeak Raindrop Size Distribution Observed by UHF/VHF Wind Profilers during the Passage of a Mesoscale Convective System  

Science Conference Proceedings (OSTI)

The Indian Mesosphere–Stratosphere–Troposphere radar (IMSTR), Lower Atmospheric Wind Profiler (LAWP), and Joss–Waldvogel (JW) disdrometer measurements during the passage of two distinctly different (in terms of total rain and rainfall rate) ...

B. Radhakrishna; T. Narayana Rao

2009-03-01T23:59:59.000Z

174

Power quality analysis of wind generator connected to the weak grid during low wind speed  

Science Conference Proceedings (OSTI)

Power quality analysis based on measurements performed on wind generator during low wind speed is presented in the paper. Wind generator is connected via 10 kV cable to the distribution network, where grid is weak with low value of short-circuit power. ... Keywords: distribution network, harmonics, power quality, wind speed, wind turbine

Aleksandar Nikolic; Branka Kostic; Maja Markovic; Sasa Minic; Srdjan Milosavljevic

2011-07-01T23:59:59.000Z

175

WIND DATA REPORT Wellfleet, MA  

E-Print Network (OSTI)

/RERL_Fact_Sheet_6_Wind_resource_interpretation.pdf * 1 m/s = 2.237 mph. July 10, 2007 Renewable Energy Research Distributions Figure 3 - Wind Speed Distribution, March 1, 2007 ­ May 31, 2007 July 10, 2007 Renewable Energy Figure 5 - Diurnal Average Wind Speed, March 1, 2007 ­ May 31, 2007 July 10, 2007 Renewable Energy

Massachusetts at Amherst, University of

176

Atlantic Wind Solar Inc | Open Energy Information  

Open Energy Info (EERE)

distributed wind and solar systems along with wind and solar-hyrbid energy systems in Canada, the US and the Bahamas. References Atlantic Wind & Solar Inc.1 LinkedIn Connections...

177

NREL: Wind Research - Grid Integration of Offshore Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

Grid Integration of Offshore Wind Grid Integration of Offshore Wind Photograph of a wind turbine in the ocean. Located about 10 kilometers off the coast of Arklow, Ireland, the Arklow Bank offshore wind park consists of seven GE Wind 3.6-MW wind turbines. Much can be learned from the existing land-based integration research for handling the variability and uncertainty of the wind resource. Integration and Transmission One comprehensive grid integration study is the Eastern Wind Integration and Transmission Study (EWITS), in which offshore wind scenarios were analyzed. Nearly 80 GW of offshore wind was studied in the highest penetration scenario. Specific offshore grid distribution and transmission solutions were identified, including cost estimates. With the Atlantic coast likely to lead the way in offshore wind power deployment, EWITS is a benchmark for

178

Wind Energy Resource Atlas of Oaxaca  

DOE Green Energy (OSTI)

The Oaxaca Wind Resource Atlas, produced by the National Renewable Energy Laboratory's (NREL's) wind resource group, is the result of an extensive mapping study for the Mexican State of Oaxaca. This atlas identifies the wind characteristics and distribution of the wind resource in Oaxaca. The detailed wind resource maps and other information contained in the atlas facilitate the identification of prospective areas for use of wind energy technologies, both for utility-scale power generation and off-grid wind energy applications.

Elliott, D.; Schwartz, M.; Scott, G.; Haymes, S.; Heimiller, D.; George, R.

2003-08-01T23:59:59.000Z

179

Addressing System Integration Issues Required for the Developmente of Distributed Wind-Hydrogen Energy Systems: Final Report  

DOE Green Energy (OSTI)

Wind generated electricity is a variable resource. Hydrogen can be generated as an energy storage media, but is costly. Advancements in power electronics and system integration are needed to make a viable system. Therefore, the long-term goal of the efforts at the University of North Dakota is to merge wind energy, hydrogen production, and fuel cells to bring emission-free and reliable power to commercial viability. The primary goals include 1) expand system models as a tool to investigate integration and control issues, 2) examine long-term effects of wind-electrolysis performance from a systematic perspective, and 3) collaborate with NREL and industrial partners to design, integrate, and quantify system improvements by implementing a single power electronics package to interface wild AC to PEM stack DC requirements. This report summarizes the accomplishments made during this project.

Mann, M.D; Salehfar, H.; Harrison, K.W.; Dale, N.; Biaku, C.; Peters, A.J.; Hernandez-Pacheco: E.

2008-04-01T23:59:59.000Z

180

Wind Energy Resource Atlas of Armenia  

DOE Green Energy (OSTI)

This wind energy resource atlas identifies the wind characteristics and distribution of the wind resource in the country of Armenia. The detailed wind resource maps and other information contained in the atlas facilitate the identification of prospective areas for use of wind energy technologies for utility-scale power generation and off-grid wind energy applications. The maps portray the wind resource with high-resolution (1-km2) grids of wind power density at 50-m above ground. The wind maps were created at the National Renewable Energy Laboratory (NREL) using a computerized wind mapping system that uses Geographic Information System (GIS) software.

Elliott, D.; Schwartz, M.; Scott, G.; Haymes, S.; Heimiller, D.; George, R.

2003-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

New England Wind Forum: Markets  

Wind Powering America (EERE)

Markets Markets Selling Wind Power Wind generators interconnected directly to the transmission or distribution grid, or sized in excess of the load of a host end-user, interact with either well-developed or developing markets for the products produced by wind generators: electricity and generation attributes. Buying Wind Power Individuals, companies, institutions, and governments throughout New England have a number of opportunities to buying wind power or support the development of wind power. The links below take you to information on opportunities and guidance for buying wind power in New England. Motivations for Buying Wind Power Buying Wind Power Resources and Tools for Large Energy Users Printable Version Skip footer navigation to end of page. New England Wind Forum Home | Wind Program Home | EERE Home | U.S. Department of Energy

182

Wind Power Today and Tomorrow  

DOE Green Energy (OSTI)

Wind Power Today and Tomorrow is an annual publication that provides an overview of the wind research conducted under the U.S. Department of Energy's Wind and Hydropower Technologies Program. The purpose of Wind Power Today and Tomorrow is to show how DOE supports wind turbine research and deployment in hopes of furthering the advancement of wind technologies that produce clean, low-cost, reliable energy. Content objectives include: educate readers about the advantages and potential for widespread deployment of wind energy; explain the program's objectives and goals; describe the program's accomplishments in research and application; examine the barriers to widespread deployment; describe the benefits of continued research and development; facilitate technology transfer; and attract cooperative wind energy projects with industry. This 2003 edition of the program overview also includes discussions about wind industry growth in 2003, how DOE is taking advantage of low wind speed region s through advancing technology, and distributed applications for small wind turbines.

Not Available

2004-03-01T23:59:59.000Z

183

Mongolia wind resource assessment project  

DOE Green Energy (OSTI)

The development of detailed, regional wind-resource distributions and other pertinent wind resource characteristics (e.g., assessment maps and reliable estimates of seasonal, diurnal, and directional) is an important step in planning and accelerating the deployment of wind energy systems. This paper summarizes the approach and methods being used to conduct a wind energy resource assessment of Mongolia. The primary goals of this project are to develop a comprehensive wind energy resource atlas of Mongolia and to establish a wind measurement program in specific regions of Mongolia to identify prospective sites for wind energy projects and to help validate some of the wind resource estimates. The Mongolian wind resource atlas will include detailed, computerized wind power maps and other valuable wind resource characteristic information for the different regions of Mongolia.

Elliott, D.; Chadraa, B.; Natsagdorj, L.

1998-09-07T23:59:59.000Z

184

Multi-Gaussian Representation of the Cox–Munk Distribution for Slopes of Wind-Driven Waves  

Science Conference Proceedings (OSTI)

The Cox–Munk probability density function (PDF) for slopes (?x, ?y) of wind-driven ocean waves was obtained about 50 years ago and until now has remained the most complete result. This PDF is widely used in different applications. With respect to ...

Valerian I. Tatarskii

2003-11-01T23:59:59.000Z

185

Can the Western Boundary Layer Affect the Potential Vorticity Distribution in the Sverdrup interior of a Wind Gyre?  

Science Conference Proceedings (OSTI)

The question posed in the title of this paper is answered in the affirmative by investigating a two-layer, quasi-geostrophic model of the wind-driven circulation. The two layers model the thermocline rather than the whole depth of the ocean. The ...

G. R. Ierley; W. R. Young

1983-10-01T23:59:59.000Z

186

A simple method to downscale daily wind statistics to hourly wind data  

E-Print Network (OSTI)

Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy location with 3285 days (9 years) measured hourly wind speed data were used to validate the downscaling method. The results showed that the overall agreement between observed and simulated cumulative wind speed probability distributions appears excellent, especially for the wind speeds greater than 5 m s-1 range (erosive wind speed). The results further revealed that the values of daily average erosive wind power density (AWPD) calculated from generated wind speeds fit the counterparts computed from measured wind speeds well with high models' efficiency (Nash-Sutcliffe coefficient). So that the hourly wind speed data can be predicted from daily average and maximu...

Guo, Zhongling

2013-01-01T23:59:59.000Z

187

Availability of wind power  

DOE Green Energy (OSTI)

Meteorological studies of available wind power were begun at Sandia in 1973 to support the development of a vertical-axis wind turbine (VAWT, ''egg-beater''). This presentation reviews work to date. Copies of seven source reports were provided to ELETROBRAS; Scientia, Ltda., has included them in an extensive bibliography that was distributed at the seminar. This report summarizes those climatological studies that are needed to assist and promote wind energy exploitation in Brazil.

Reed, J.W.

1978-01-01T23:59:59.000Z

188

Power law burst and inter-burst interval distributions in the solar wind: turbulence or dissipative SOC ?  

E-Print Network (OSTI)

We calculate for the first time the probability density functions (PDFs) P of burst energy e, duration T and inter-burst interval tau for a known turbulent system in nature. Bursts in the earth-sun component of the Poynting flux at 1 AU in the solar wind were measured using the MFI and SWE experiments on the NASA WIND spacecraft. We find P(e) and P(T) to be power laws, consistent with self-organised criticality (SOC). We find also a power law form for P(tau) that distinguishes this turbulent cascade from the exponential P(tau) of ideal SOC, but not from some other SOC-like sandpile models. We discuss the implications for the relation between SOC and turbulence.

M. P. Freeman; N. W. Watkins; D. J. Riley

2000-03-08T23:59:59.000Z

189

Extreme Winds and Wind Effects on Structures  

Science Conference Proceedings (OSTI)

Extreme Winds and Wind Effects on Structures. The Engineering ... section. I. Extreme Winds: ... II. Wind Effects on Buildings. Database ...

2013-01-17T23:59:59.000Z

190

Community wind power ownership schemes in Europe and their relevance to the United States  

E-Print Network (OSTI)

Andersen, P.D. 1998. Wind Power in Denmark: Technology,Inc. 1998. Distributed Wind Power Assessment. Draft reportwww.stem.se Swedish Wind Power Association. 2001. Current

Bolinger, Mark

2001-01-01T23:59:59.000Z

191

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

to build a 350 MW offshore wind farm, and shortly after thisfarms, schools, businesses, and industrial facilities; distributed windwind turbines used to power the needs of residences, farms,

Bolinger, Mark

2010-01-01T23:59:59.000Z

192

School supply drive winding down  

NLE Websites -- All DOE Office Websites (Extended Search)

submit School supply drive winding down The drive is collecting materials for schools throughout Northern New Mexico and will be distributed by the Lab and Self Help, Inc....

193

US Wind Farmers Network  

DOE Green Energy (OSTI)

Through this program Windustry representatives have produced, widely used, and distributed new materials and have participated in a wide variety of wind energy events, meetings, and conferences. In this work Windustry representatives have sought to reach a broad audience and grow interest and enthusiasm for wind energy. At the same time, Windustry representatives have sought to provide tools, detailed case studies, and other technical resources that deepen Windustry constituency's knowledge of wind energy options. All of this has served to facilitate development of many actual wind energy projects, particularly projects that emphasize local and community benefits.

Lisa Daniels; DOE Project Officer - Keith Bennett

2005-04-15T23:59:59.000Z

194

The Wind Project Development Process  

Wind Powering America (EERE)

Wind Project Wind Project Development Process Developed for the National Renewable Energy Laboratory by Dale Osborn Distributed Generation Systems, Inc. September 1998 The Wind Project Development Process Site Selection Land Agreements Wind Assessment Environmental Review Economic Modeling Interconnection Studies Financing Permitting Sales Agreements Turbine Procurement Construction Contracting Operations & Maintenance Site Selection Evidence of Significant Wind Preferably Privately Owned Remote Land Proximity to Transmission Lines Reasonable Road Access Few Environmental Concerns Receptive Community Land Agreements Term: Expected Life of the Turbine Assignable Indemnification Rights Compensation: Percentage of Revenues Reclamation Provision Wind Rights, Ingress/Egress Rights, Transmission Rights

195

Wind Energy Update  

Wind Powering America (EERE)

by the Alliance for Sustainable Energy, LLC. by the Alliance for Sustainable Energy, LLC. Wind Energy Update Wind Powering America January 2012 NATIONAL RENEWABLE ENERGY LABORATORY Evolution of Commercial Wind Technology NATIONAL RENEWABLE ENERGY LABORATORY Small (≤100 kW) Homes Farms Remote Applications (e.g. water pumping, telecom sites, icemaking) Midscale (100-1000 kW) Village Power Hybrid Systems Distributed Power Large, Land-based (1-3 MW) Utility-scale wind farms Large Distributed Power Sizes and Applications Large, Offshore (3-7 MW) Utility-scale wind farms, shallow coastal waters No U.S. installations NATIONAL RENEWABLE ENERGY LABORATORY Capacity & Cost Trends As of January 2012 (AWEA) 0 5000 10000 15000 20000 25000 30000 35000 40000 45000 50000 $- $200 $400 $600 $800 $1,000 $1,200

196

Constraints on the Velocity and Spatial Distribution of Helium-like Ions in the Wind of SMC X-1 from Observations with XMM-Newton/RGS  

E-Print Network (OSTI)

We present here X-ray spectra of the HMXB SMC X-1 obtained in an observation with the XMM observatory beginning before eclipse and ending near the end of eclipse. With the Reflection Grating Spectrometers (RGS) on board XMM, we observe emission lines from hydrogen-like and helium-like ions of nitrogen, oxygen, neon, magnesium, and silicon. Though the resolution of the RGS is sufficient to resolve the helium-like n=2->1 emission into three line components, only one of these components, the intercombination line, is detected in our data. The lack of flux in the forbidden lines of the helium-like triplets is explained by pumping by ultraviolet photons from the B0 star and, from this, we set an upper limit on the distance of the emitting ions from the star. The lack of observable flux in the resonance lines of the helium-like triplets indicate a lack of enhancement due to resonance line scattering and, from this, we derive a new observational constraint on the distribution of the wind in SMC X-1 in velocity and coordinate space. We find that the solid angle subtended by the volume containing the helium-like ions at the neutron star multiplied by the velocity dispersion of the helium-like ions must be less than 4pi steradians km/s. This constraint will be satisfied if the helium-like ions are located primarily in clumps distributed throughout the wind or in a thin layer along the surface of the B0 star.

Patrick S. Wojdowski; Duane A. Liedahl; Timothy R. Kallman

2007-10-20T23:59:59.000Z

197

EERE: Wind  

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

EERE: Buildings The U.S. Department of Energy funds R&D to develop wind energy. Learn about the DOE Wind Program, how to use wind energy and get financial incentives, and access...

198

WIND ENERGY Wind Energ. (2012)  

E-Print Network (OSTI)

WIND ENERGY Wind Energ. (2012) Published online in Wiley Online Library (wileyonlinelibrary since energy production depends non-linearly on wind speed (U ), and wind speed observa- tions for the assessment of future long-term wind supply A. M. R. Bakker1 , B. J. J. M. Van den Hurk1 and J. P. Coelingh2 1

Haak, Hein

199

On spatial estimation of wind energy potential in Malaysia  

Science Conference Proceedings (OSTI)

Statistical distribution for describing the wind speed at a particular location provides information about the wind energy potential which is available. In this paper, five different statistical distributions are fitted to the data of average hourly ... Keywords: inverse distance weighting method, kriging, semivariogram, spatial estimation, wind energy, wind speed distribution

Nurulkamal Masseran; Ahmad Mahir Razali; Kamarulzaman Ibrahim; Wan Zawiah Wan Zin; Azami Zaharim

2011-07-01T23:59:59.000Z

200

Indiana 50 M Wind Resource  

NLE Websites -- All DOE Office Websites (Extended Search)

Indiana 50 M Wind Resource Indiana 50 M Wind Resource Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: March, 2004 Title: Indiana 50 M Wind Resource Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Ohio 50 m Wind Resource  

NLE Websites -- All DOE Office Websites (Extended Search)

Ohio 50 m Wind Resource Ohio 50 m Wind Resource Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: May, 2004 Title: Ohio 50 m Wind Resource Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants. Online_Linkage:

202

Missouri 50 m Wind Resource  

NLE Websites -- All DOE Office Websites (Extended Search)

50 m Wind Resource 50 m Wind Resource Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: November, 2004 Title: Missouri 50 m Wind Resource Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

203

Wind Farm Aggregation Impact on Power Quality: Preprint  

SciTech Connect

This paper explores the effects of wind farm power fluctuations on the power network. A dynamic simulation of a wind farm is performed and the spatial distribution of the wind turbines is considered.

Bialasiewicz, J. T.; Muljadi, E.

2006-11-01T23:59:59.000Z

204

Wind Energy Resource Atlas of Sri Lanka and the Maldives  

DOE Green Energy (OSTI)

The Wind Energy Resource Atlas of Sri Lanka and the Maldives, produced by the National Renewable Energy Laboratory's (NREL's) wind resource group identifies the wind characteristics and distribution of the wind resource in Sri Lanka and the Maldives. The detailed wind resource maps and other information contained in the atlas facilitate the identification of prospective areas for use of wind energy technologies, both for utility-scale power generation and off-grid wind energy applications.

Elliott, D.; Schwartz, M.; Scott, G.; Haymes, S.; Heimiller, D.; George, R.

2003-08-01T23:59:59.000Z

205

(The Spanish version of Wind Energy Resource Atlas of Oaxaca)  

DOE Green Energy (OSTI)

The Oaxaca Wind Resource Atlas, produced by the National Renewable Energy Laboratory's (NREL's) wind resource group, is the result of an extensive mapping study for the Mexican State of Oaxaca. This atlas identifies the wind characteristics and distribution of the wind resource in Oaxaca. The detailed wind resource maps and other information contained in the atlas facilitate the identification of prospective areas for use of wind energy technologies, both for utility-scale power generation and off-grid wind energy applications.

Elliott, D.; Schwartz, M.; Scott, G.; Haymes, S.; Heimiller, D.; George, R.

2004-04-01T23:59:59.000Z

206

Wind Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

FUPWG Meeting FUPWG Meeting NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy operated by the Alliance for Sustainable Energy, LLC Robi Robichaud November 18, 2009 Topics Introduction Review of the Current Wind Market Drivers for Wind Development Siting g Issues Wind Resource Assessment Wind Characteristics Wind Power Potential Basic Wind Turbine Theory Basic Wind Turbine Theory Types of Wind Turbines Facts About Wind Siting Facts About Wind Siting Wind Performance 1. United States: MW 1 9 8 2 1 9 8 3 1 9 8 4 1 9 8 5 1 9 8 6 1 9 8 7 1 9 8 8 1 9 8 9 1 9 9 0 1 9 9 1 1 9 9 2 1 9 9 3 1 9 9 4 1 9 9 5 1 9 9 6 1 9 9 7 1 9 9 8 1 9 9 9 2 0 0 0 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 2 0 0 6 2 0 0 7 2 0 0 8 Current Status of the Wind Industry Total Global Installed Wind Capacity Total Global Installed Wind Capacity Total Global Installed Wind Capacity

207

Wind Energy Resource Atlas of Armenia (CD-ROM)  

DOE Green Energy (OSTI)

This wind energy resource atlas identifies the wind characteristics and distribution of the wind resource in the country of Armenia. The detailed wind resource maps and other information contained in the atlas facilitate the identification of prospective areas for use of wind energy technologies for utility-scale power generation and off-grid wind energy applications. The maps portray the wind resource with high-resolution (1-km2) grids of wind power density at 50-m above ground. The wind maps were created at the National Renewable Energy Laboratory (NREL) using a computerized wind mapping system that uses Geographic Information System (GIS) software.

Elliott, D.; Schwartz, M.; Scott, G.; Haymes, S.; Heimiller, D.; George, R.

2003-07-01T23:59:59.000Z

208

Long-Term Wind Power Variability  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory started collecting wind power data from large commercial wind power plants (WPPs) in southwest Minnesota with dedicated dataloggers and communication links in the spring of 2000. Over the years, additional WPPs in other areas were added to and removed from the data collection effort. The longest data stream of actual wind plant output is more than 10 years. The resulting data have been used to analyze wind power fluctuations, frequency distribution of changes, the effects of spatial diversity, and wind power ancillary services. This report uses the multi-year wind power data to examine long-term wind power variability.

Wan, Y. H.

2012-01-01T23:59:59.000Z

209

Reduced vibration motor winding arrangement  

DOE Patents (OSTI)

An individual phase winding arrangement having a sixty electrical degree phase belt width for use with a three phase motor armature includes a delta connected phase winding portion and a wye connected phase winding portion. Both the delta and wye connected phase winding portions have a thirty electrical degree phase belt width. The delta and wye connected phase winding portions are each formed from a preselected number of individual coils each formed, in turn, from an unequal number of electrical conductor turns in the approximate ratio of {radical}3. The individual coils of the delta and wye connected phase winding portions may either be connected in series or parallel. This arrangement provides an armature winding for a three phase motor which retains the benefits of the widely known and utilized thirty degree phase belt concept, including improved mmf waveform and fundamental distribution factor, with consequent reduced vibrations and improved efficiency. 4 figs.

Slavik, C.J.; Rhudy, R.G.; Bushman, R.E.

1997-11-11T23:59:59.000Z

210

EIA: Wind  

U.S. Energy Information Administration (EIA)

Technical information and data on the wind energy industry from the U.S. Energy Information Administration (EIA).

211

A Study on the Effect of Nudging on Long-Term Boundary Layer Profiles of Wind and Weibull Distribution Parameters in a Rural Coastal Area  

Science Conference Proceedings (OSTI)

By use of 1 yr of measurements performed with a wind lidar up to 600-m height, in combination with a tall meteorological tower, the impact of nudging on the simulated wind profile at a flat coastal site (Hřvsřre) in western Denmark using the ...

S.-E. Gryning; E. Batchvarova; R. Floors

2013-05-01T23:59:59.000Z

212

Wind Resources in Alaska | OpenEI  

Open Energy Info (EERE)

Resources in Alaska Resources in Alaska Dataset Summary Description Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and 100 meters and wind power density (W/m^2) at a hub height of 50 meters for a 40,000 square meter area. The additional gridded wind parameter data includes data for points spaced 2 kilometers apart, and include: predicted wind speed frequency distribution as well as speed and energy in 16 directions (the information needed to produce a wind rose image at a given point). Data included here as .kml files (for viewing in Google Earth). GIS shape files available for the gridded wind parameters datasets from AEDI (http://akenergyinventory.org/data.shtml).

213

Definition: Wind rose | Open Energy Information  

Open Energy Info (EERE)

rose rose Jump to: navigation, search Dictionary.png Wind rose A diagram that shows the average percentage of time that the wind blows from different directions, typically on a monthly or annual basis.[1][2] View on Wikipedia Wikipedia Definition A wind rose is a graphic tool used by meteorologists to give a succinct view of how wind speed and direction are typically distributed at a particular location. Historically, wind roses were predecessors of the compass rose, as there was no differentiation between a cardinal direction and the wind which blew from such a direction. Using a polar coordinate system of gridding, the frequency of winds over a long time period are plotted by wind direction, with color bands showing wind ranges. The directions of the rose with the longest spoke show the wind direction with

214

Community-Owned wind power development: The challenge of applying the European model in the United States, and how states are addressing that challenge  

E-Print Network (OSTI)

Funds Biomass and Innovative Wind Applications. LBNL.Small Distributed Wind Tariff and PPA, www.xcelenergy.com/Bolinger, M. 2001. Community Wind Power Ownership Schemes in

Bolinger, Mark

2004-01-01T23:59:59.000Z

215

Wind Blog  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

wind-blog Office of Energy Efficiency & Renewable wind-blog Office of Energy Efficiency & Renewable Energy Forrestal Building 1000 Independence Avenue, SW Washington, DC 20585 en Two Facilities, One Goal: Advancing America's Wind Industry http://energy.gov/eere/articles/two-facilities-one-goal-advancing-america-s-wind-industry wind-industry" class="title-link">Two Facilities, One Goal: Advancing America's Wind Industry

216

Distribution:  

Office of Legacy Management (LM)

JAN26 19% JAN26 19% Distribution: OR00 Attn: h.H.M.Roth DFMusser ITMM MMMann INS JCRyan FIw(2) Hsixele SRGustavson, Document rocm Formal file i+a@mmm bav@ ~@esiaw*cp Suppl. file 'Br & Div rf's s/health (lic.only) UNITED STATES ATOMIC ENERGY COMMISSION SPECIAL NUCLEAB MATERIAL LICENSE pursuant to the Atomic Energy Act of 1954 and Title 10, Code of Federal Regulations, Chapter 1, P&t 70, "Special Nuclear Material Reg)llatiqm," a license is hereby issued a$hortztng the licensee to rekeive and possess the special nuclear material designated below; to use such special nuclear mat&ial for the purpose(s) and at the place(s) designated below; and to transfer such material to per&s authorized to receive it in accordance with the regula,tions in said Part.

217

Wind shear climatology for large wind turbine generators  

DOE Green Energy (OSTI)

Climatological wind shear analyses relevant to the design and operation of multimegawatt wind turbines are provided. Insight is provided for relating the wind experienced by a rotating blade in a shear flow to the analysis results. A simple analysis of the wind experienced by a rotating blade for three types of wind shear profiles under steady-state conditions is presented in graphical form. Comparisons of the magnitude and frequency of the variations in 1) the wind sensed by a single blade element, 2) the sum, and 3) the difference of the winds sensed by opposite blade elements show strong sensitivity to profile shape. These three items represent forcing functions that can be related to 1) flatwise bending moment, 2) torque on the shaft, and 3) teeter angle. A computer model was constructed to simulate rotational sampling of 10-s sampled winds from a tall tower for three different types of large wind turbines. Time series produced by the model indicated that the forcing functions on a rotating blade vary according to the shear profile encountered during each revolution as opposed to a profile derived from average wind conditions, e.g., hourly average winds. An analysis scheme was developed to establish a climatology of wind shear profiles derived from 10-s sampled winds and hourly average winds measured over a one-year period at several levels on a tall tower. Because of the sensitivity of the forcing function variability to profile shape, the analyses performed and presented are in the form of joint frequency distributions of velocity differences of the the top-to-hub versus the hub-to-bottom portion of disks of rotation for the three turbine configurations.

Elliott, D.L.; Wendell, L.L.; Heflick, S.K.

1982-10-01T23:59:59.000Z

218

Missing wind data forecasting with adaptive neuro-fuzzy inference system  

Science Conference Proceedings (OSTI)

In any region, to begin generating electricity from wind energy, it is necessary to determine the 1-year distribution characteristics of wind speed. For this aim, a wind observation station must be constructed and 1-year wind speed and direction data ... Keywords: ANFIS, Back-propagation, Forecasting, Missing data, Wind energy, Wind speed

Fatih O. Hocaoglu; Yusuf Oysal; Mehmet Kurban

2009-02-01T23:59:59.000Z

219

Standards for Municipal Small Wind Regulations and Small Wind...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Standards for Municipal Small Wind Regulations and Small Wind Model Wind Ordinance Standards for Municipal Small Wind Regulations and Small Wind Model Wind Ordinance Eligibility...

220

Meteorological and topographical indicators of wind energy for regional assessments  

SciTech Connect

Techniques using meteorological and topographical indicators of wind energy, developed by PNL and applied to the Northwest wind resource assessment, improved the reliability of the analysis of the geographical distribution of wind energy. The identification and application of these indicators led to an improved understanding of the conditions associated with high and low wind energy. Furthermore, these indicators are especially useful in complex terrain and wind-data-sparse areas for obtaining a somewhat realistic estimate of the wind energy resource.

Elliott, D. L.

1979-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Energy Basics: Wind Turbines  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Solar Wind Wind Turbines Wind Resources Wind Turbines...

222

Stakeholder Engagement and Outreach: What Is Wind Power?  

Wind Powering America (EERE)

What Is Wind Power? What Is Wind Power? A three-bladed wind turbine with the internal components visible. Six turbines in a row are electrically connected to the power grid. Wind Power Animation This aerial view of a wind turbine plant shows how a group of wind turbines can make electricity for the utility grid. The electricity is sent through transmission and distribution lines to homes, businesses, schools, and so on. View the wind turbine animation to see how a wind turbine works or take a look inside. Wind power or wind energy describes the process by which the wind is used to generate mechanical power or electricity. Wind turbines convert the kinetic energy in the wind into mechanical power. This mechanical power can be used for specific tasks (such as grinding grain or pumping water), or

223

NREL: Wind Research - Large Wind Turbine Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Research Search More Search Options Site Map Printable Version Large Wind Turbine Research NREL's utility scale wind system research addresses performance and...

224

Wind Turbines  

Energy.gov (U.S. Department of Energy (DOE))

Although all wind turbines operate on similar principles, several varieties are in use today. These include horizontal axis turbines and vertical axis turbines.

225

Wind Powering America: Wind Events  

Wind Powering America (EERE)

calendar.asp Lists upcoming wind calendar.asp Lists upcoming wind power-related events. en-us julie.jones@nrel.gov (Julie Jones) http://www.windpoweringamerica.gov/images/wpa_logo_sm.jpg Wind Powering America: Wind Events http://www.windpoweringamerica.gov/calendar.asp Pennsylvania Wind for Schools Educator Workshop https://www.regonline.com/builder/site/Default.aspx?EventID=1352684 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4068 Wed, 4 Dec 2013 00:00:00 MST 2014 Joint Action Workshop http://www.windpoweringamerica.gov/filter_detail.asp?itemid=3996 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=3996 Mon, 21 Oct 2013 00:00:00 MST AWEA Wind Project Operations and Maintenance and Safety Seminar http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4009 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4009 Mon, 21

226

WIND DATA REPORT December 01, 2007 February 29, 2008  

E-Print Network (OSTI)

01003 #12;Wind Roses Figure 7 ­ Wind Rose, December 2007 ­ February 2008 April 2, 2008 Renewable Energy 22.5 0 23.5 0 24.5 0 Table 3 - Wind Speed Distribution, 49 m April 2, 2008 Renewable Energy Research - Diurnal Average Wind Speeds, 49 m April 2, 2008 Renewable Energy Research Laboratory Page 20 University

Massachusetts at Amherst, University of

227

Wind Energy Resource Atlas of the Dominican Republic  

DOE Green Energy (OSTI)

The Wind Energy Resource Atlas of the Dominican Republic identifies the wind characteristics and the distribution of the wind resource in this country. This major project is the first of its kind undertaken for the Dominican Republic. The information contained in the atlas is necessary to facilitate the use of wind energy technologies, both for utility-scale power generation and off-grid wind energy applications. A computerized wind mapping system developed by NREL generated detailed wind resource maps for the entire country. This technique uses Geographic Information Systems (GIS) to produce high-resolution (1-square kilometer) annual average wind resource maps.

Elliott, D.; Schwartz, M.; George, R.; Haymes, S.; Heimiller, D.; Scott, G.; Kline, J.

2001-10-01T23:59:59.000Z

228

Extreme Winds and Wind Effects on Structures  

Science Conference Proceedings (OSTI)

Extreme Winds and Wind Effects on Structures. Description/Summary: The Building and Fire Research Laboratory has an ...

2010-10-04T23:59:59.000Z

229

Wind Energy Leasing Handbook  

E-Print Network (OSTI)

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?....................................................................

Balasundaram, Balabhaskar "Baski"

230

Rapid Temporal Changes of Boundary Layer Winds  

Science Conference Proceedings (OSTI)

The statistical distribution of the magnitude of the vector wind change over 0.25-, 0.5-, 1-, and 2-h periods based on central Florida data from November 1999 through August 2001 is presented. The distributions of the 2-h u and ? wind-component ...

Francis J. Merceret

2006-07-01T23:59:59.000Z

231

Reduced vibration motor winding arrangement  

DOE Patents (OSTI)

The present invention relates generally to an electric motor winding and, more particularly, to a three phase motor armature winding arrangement designed to reduce motor vibration and improve efficiency. An individual phase winding arrangement having a sixty electrical degree phase belt width for use with a three phase motor armature includes a delta connected phase winding portion and a wye connected phase winding portion. Both the delta and wye connected phase winding portions have a thirty electrical degree phase belt width. The delta and wye connected phase winding portions are each formed from a preselected number of individual coils each formed, in turn, from an unequal number of electrical conductor turns in the approximate ratio of {radical}3. The individual coils of the delta and wye connected phase winding portions may either be connected in series or parallel. This arrangement provides an armature winding for a three phase motor which retains the benefits of the widely known and utilized thirty degree phase belt concept, including improved mmf waveform and fundamental distribution factor.

Slavik, C.J.; Rhudy, R.G.; Bushman, R.E.

1995-12-31T23:59:59.000Z

232

Wind Powering America: New England Wind Forum  

Wind Powering America (EERE)

About the New England Wind Forum About the New England Wind Forum New England Wind Energy Education Project Historic Wind Development in New England State Activities Projects in New England Building Wind Energy in New England Wind Resource Wind Power Technology Economics Markets Siting Policy Technical Challenges Issues Small Wind Large Wind Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share The New England Wind Forum was conceived in 2005 as a platform to provide a single, comprehensive and objective source of up-to-date, Web-based information on a broad array of wind-energy-related issues pertaining to New England. The New England Wind Forum provides information to wind energy stakeholders through Web site features, periodic newsletters, and outreach activities. The New England Wind Forum covers the most frequently discussed wind energy topics.

233

Wind Opportunities for Idaho State Lands  

Wind Powering America (EERE)

and Local Initiatives Group and Local Initiatives Group National Renewable Energy Laboratory Terri Walters Carol Tombari 303-275-3005 303-275-3821 terri_walters@nrel.gov carol_tombari@nrel.gov Wind Opportunities For Idaho State Lands March 3, 2004 Wind Overview Wind Overview * Technology * Resources * Markets and Drivers * Economic Development Opportunities * Wind Powering America U.S. Electricity Fuel Mix U.S. Electricity Fuel Mix Coal 51.8% Nuclear 19.8% Hydro 7.2% Petroleum 2.9% Gas 16.1% Other/Renewables 2.2% Sizes and Applications Sizes and Applications Small (≤10 kW) * Homes * Farms * Remote Applications (e.g. water pumping, telecom sites, icemaking) Intermediate (10-100 kW) * Village Power * Hybrid Systems * Distributed Power Large (660 kW - 2+MW) * Central Station Wind Farms * Distributed Power Growth of Wind Energy Capacity Growth of Wind Energy Capacity

234

High Range Resolution Radar Measurements of the Speed Distribution of Breaking Events in Wind-Generated Ocean Waves: Surface Impulse and Wave Energy Dissipation Rates  

Science Conference Proceedings (OSTI)

A set of X-band radar measurements, backscattered from the sea surface at near grazing incidence with very high spatial and temporal resolution (30 cm in range and 2000-Hz pulse repetition frequency) in moderate wind conditions, are dominated by ...

O. M. Phillips; F. L. Posner; J. P. Hansen

2001-02-01T23:59:59.000Z

235

Wind Power Plant Monitoring Project Annual Report  

DOE Green Energy (OSTI)

The intermittent nature of the wind resource, together with short-term power fluctuations, are the two principal issues facing a utility with wind power plants in its power grid. To mitigate these issues, utilities, wind power plant developers, and operators need to understand the nature of wind power fluctuations and how they affect the electrical power system, as well as to analyze ancillary service requirements with real wind power plant output data. To provide the necessary data, NREL conducted a study to collect at least 2 years of long-term, high-frequency (1-hertz [Hz]) data from several medium- to large-scale wind power plants with different wind resources, terrain features, and turbine types. Researchers then analyzed the data for power fluctuations, frequency distribution of wind power (by deriving a probability distribution function of wind power plant output variations), spatial and temporal diversity of wind power, and wind power capacity credit issues. Results of these analyses can provide data on the potential effects of wind power plants on power system regulation.

Wan, Y.

2001-07-11T23:59:59.000Z

236

Arkansas 50m Wind Power Class  

NLE Websites -- All DOE Office Websites (Extended Search)

50m Wind Power Class 50m Wind Power Class Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: April, 2007 Title: Arkansas 50m Wind Power Class Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

237

WIND DATA REPORT Scituate Waste Water Treatment Plant, MA  

E-Print Network (OSTI)

Distributions Figure 3 ­ Wind Speed Distribution, March 1, 2007 ­ May 31, 2007 July 16, 2007 Renewable Energy Figure 5 ­ Diurnal Wind Speeds, March 1, 2007 ­ May 31, 2007 July 16, 2007 Renewable Energy Research ­ Turbulence Intensity vs. Wind Speed, March 1, 2007 ­ May 31, 2007 July 16, 2007 Renewable Energy Research

Massachusetts at Amherst, University of

238

Analysis of Wind Power and Load Data at Multiple Time Scales  

E-Print Network (OSTI)

by a set of integrated wind farms increases, the behavior ofto the spatial distribution of wind farms and the total MW.line dates for the various wind farms were not provided, so

Coughlin, Katie

2011-01-01T23:59:59.000Z

239

Examining the Variability of Wind Power Output in the Regulation Time Frame: Preprint  

DOE Green Energy (OSTI)

This work examines the distribution of changes in wind power for different time scales in the regulation time frame as well as the correlation of changes in power output for individual wind turbines in a wind plant.

Hodge, B. M.; Shedd, S.; Florita, A.

2012-08-01T23:59:59.000Z

240

Main Coast Winds - Final Scientific Report  

DOE Green Energy (OSTI)

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.

Jason Huckaby; Harley Lee

2006-03-15T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Primer on Wind Power for Utility Applications  

SciTech Connect

The wind industry still faces many market barriers, some of which stem from utilities' lack of experience with the technology. Utility system operators and planners need to understand the effects of fluctuating wind power on system regulation and stability. Without high-frequency wind power data and realistic wind power plant models to analyze the problem, utilities often rely on conservative assumptions and worst-case scenarios to make engineering decisions. To remedy the situation, the National Renewable Energy Laboratory (NREL) has undertaken a project to record long-term, high-resolution (1-hertz [Hz]) wind power output data from large wind power plants in various regions. The objective is to systematically collect actual wind power data from large commercial wind power plants so that wind power fluctuations, their frequency distribution, the effects of spatial diversity, and the ancillary services of large commercial wind power plants can be analyzed. It also aims to provide the industry with nonproprietary wind power data in different wind regimes for system planning and operating impact studies. This report will summarize the results of data analysis performed at NREL and discuss the wind power characteristics related to power system operation and planning.

Wan, Y.

2005-12-01T23:59:59.000Z

242

Primer on Wind Power for Utility Applications  

DOE Green Energy (OSTI)

The wind industry still faces many market barriers, some of which stem from utilities' lack of experience with the technology. Utility system operators and planners need to understand the effects of fluctuating wind power on system regulation and stability. Without high-frequency wind power data and realistic wind power plant models to analyze the problem, utilities often rely on conservative assumptions and worst-case scenarios to make engineering decisions. To remedy the situation, the National Renewable Energy Laboratory (NREL) has undertaken a project to record long-term, high-resolution (1-hertz [Hz]) wind power output data from large wind power plants in various regions. The objective is to systematically collect actual wind power data from large commercial wind power plants so that wind power fluctuations, their frequency distribution, the effects of spatial diversity, and the ancillary services of large commercial wind power plants can be analyzed. It also aims to provide the industry with nonproprietary wind power data in different wind regimes for system planning and operating impact studies. This report will summarize the results of data analysis performed at NREL and discuss the wind power characteristics related to power system operation and planning.

Wan, Y.

2005-12-01T23:59:59.000Z

243

Wind News  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

news Office of Energy Efficiency & Renewable news Office of Energy Efficiency & Renewable Energy Forrestal Building 1000 Independence Avenue, SW Washington, DC 20585 en New Report Shows Trend Toward Larger Offshore Wind Systems, with 11 Advanced Stage Projects Proposed in U.S. Waters http://energy.gov/eere/articles/new-report-shows-trend-toward-larger-offshore-wind-systems-11-advanced-stage-projects wind-systems-11-advanced-stage-projects" class="title-link">New Report Shows Trend Toward Larger Offshore Wind Systems, with 11 Advanced Stage Projects Proposed in U.S. Waters

244

Wind Power  

NLE Websites -- All DOE Office Websites (Extended Search)

Power As the accompanying map of New Mexico shows, the best wind power generation potential near WIPP is along the Delaware Mountain ridge line of the southern Guadalupe Mountains,...

245

Short-Term Power Fluctuations of Large Wind Power Plants: Preprint  

DOE Green Energy (OSTI)

With electric utilities and other power providers showing increased interest in wind power and with growing penetration of wind capacity into the market, questions about how wind power fluctuations affect power system operations and about wind power's ancillary services requirements are receiving lots of attention. The project's purpose is to acquire actual, long-term wind power output data for analyzing wind power fluctuations, frequency distribution of the changes, the effects of spatial diversity, and wind power ancillary services.

Wan, Y.; Bucaneg, D.

2002-01-01T23:59:59.000Z

246

Wind Resource Atlas of Oaxaca | Open Energy Information  

Open Energy Info (EERE)

Resource Atlas of Oaxaca Resource Atlas of Oaxaca Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Resource Atlas of Oaxaca Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: www.nrel.gov/wind/pdfs/34519.pdf Equivalent URI: cleanenergysolutions.org/content/wind-resource-atlas-oaxaca,http://cle Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This wind resource atlas identifies wind characteristics and distribution of wind resources in Oaxaca, Mexico, at a wind power density of 50 meters above ground. The detailed wind resource maps contained in the atlas facilitate the identification of prospective areas for use of wind energy technologies for utility-scale power generation, village power, and off-grid wind energy applications. The wind maps were created using a

247

The integration of climatic data sets for wind resource assessment  

DOE Green Energy (OSTI)

One barrier to wind energy development, in many regions of the world, is the lack of reliable information about the spacial distribution of the wind energy resource. The goal of the U.S. Department of Energy (DOE) Wind Energy Program`s wind resource assessment group is to improve the characterization of the wind resource in many of these regions in support of U.S. wind energy industry. NREL provides wind resource assessments for our clients in the form of reports, atlases, and wind resource maps. The assessments estimate the level of the wind resource, at wind turbine hub heights (typically 30m to 50m above ground level), for locations exposed to the prevailing winds.

Schwartz, M.N.; Elliott, D.L.

1997-09-01T23:59:59.000Z

248

Global ocean wind power sensitivity to surface layer stability  

E-Print Network (OSTI)

power distribution over the ocean, Geophys. Res. Lett. , 35,of wind speed over the ocean, J. Appl. Meteorol. , 25,and heat flux over the open ocean in gale force winds, J.

Capps, Scott B; Zender, Charles S

2009-01-01T23:59:59.000Z

249

Mapping High Sea Winds from Space: A Global Climatology  

Science Conference Proceedings (OSTI)

High winds at sea are feared by sailors, but their distribution is poorly known because ships have avoided them as much as possible. The accumulation of spaceborne scatterometer measurements now allows a global mapping of high winds over the ...

Takeaki Sampe; Shang-Ping Xie

2007-12-01T23:59:59.000Z

250

Federal Wind Energy Assistance through NREL (Fact Sheet)  

DOE Green Energy (OSTI)

NREL assists with wind resource assessment and development activities initiated by federal agencies to facilitate distributed renewable energy projects at federal agency sites. This brief outlines the process for requesting NREL assistance with federal wind energy projects.

Not Available

2009-09-01T23:59:59.000Z

251

Multi-Agent Model for Fatigue Control in Large Offshore Wind Farm  

Science Conference Proceedings (OSTI)

To control wind turbine fatigue and optimize the fatigue distribution for offshore wind farm, a control network model is proposed based on Multi-Agent theory. A typical model of large-scale offshore wind farm is described. Power fatigue of individual ... Keywords: Multi-Agent model, fatigue, wind turbine, offshore wind farm

Rongyong Zhao; Yongqing Su; Torben Knudsen; Thomas Bak; WenZhong Shen

2008-12-01T23:59:59.000Z

252

Balancing of Wind Power.  

E-Print Network (OSTI)

?? In the future, renewable energy share, especially wind power share, in electricity generation is expected to increase. Due to nature of the wind, wind… (more)

Ülker, Muhammed Akif

2011-01-01T23:59:59.000Z

253

New England Wind Forum: Wind Power Technology  

Wind Powering America (EERE)

Wind Power Technology Wind Power Technology Modern wind turbines have become sophisticated power plants while the concept of converting wind energy to electrical energy remains quite simple. Follow these links to learn more about the science behind wind turbine technology. Wind Power Animation An image of a scene from the wind power animation. The animation shows how moving air rotates a wind turbine's blades and describes how the internal components work to produce electricity. It shows small and large wind turbines and the differences between how they are used, as stand alone or connected to the utility grid. How Wind Turbines Work Learn how wind turbines make electricity; what are the types, sizes, and applications of wind turbines; and see an illustration of the components inside a wind turbine.

254

NREL: Wind Research - Wind Resource Assessment  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Resource Assessment Wind Resource Assessment A map of the United States is color-coded to indicate the high winds at 80 meters. This map shows the wind resource at 80 meters for both land-based and offshore wind resources in the United States. Correct estimation of the energy available in the wind can make or break the economics of wind plant development. Wind mapping and validation techniques developed at the National Wind Technology Center (NWTC) along with collaborations with U.S. companies have produced high-resolution maps of the United States that provide wind plant developers with accurate estimates of the wind resource potential. State Wind Maps International Wind Resource Maps Dynamic Maps, GIS Data, and Analysis Tools Due to the existence of special use airspace (SUA) (i.e., military airspace

255

2008 WIND TECHNOLOGIES MARKET REPORT  

SciTech Connect

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.

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

256

Wind-Stress Coefficients at Light Winds  

Science Conference Proceedings (OSTI)

The increase of the wind-stress coefficient with wind velocity was found to start with winds as light as 3 m s?1, below which, following the formula for aerodynamically smooth flows, the wind-stress coefficient decreases as the wind velocity ...

Jin Wu

1988-12-01T23:59:59.000Z

257

Wind Resource Atlas of Oaxaca (CD-ROM)  

DOE Green Energy (OSTI)

The CD version of the Oaxaca Wind Resource Atlas, produced by the National Renewable Energy Laboratory's (NREL's) wind resource group, is the result of an extensive mapping study for the Mexican State of Oaxaca. This atlas identifies the wind characteristics and distribution of the wind resource in Oaxaca. The detailed wind resource maps and other information contained in the atlas facilitate the identification of prospective areas for use of wind energy technologies, both for utility-scale power generation and off-grid wind energy applications.

Elliott, D.; Schwartz, M.; Scott, G.; Haymes, S.; Heimiller, D.; George, R.

2003-08-01T23:59:59.000Z

258

NREL: Distributed Grid Integration - Research Staff  

NLE Websites -- All DOE Office Websites (Extended Search)

interests include grid integration of renewables systems (wind and PV), energy storage system integration, distributed energy resources, distribution automation, power systems,...

259

New England Wind Forum: Wind Power Economics  

Wind Powering America (EERE)

State Activities Projects in New England Building Wind Energy in New England Wind Resource Wind Power Technology Economics Cost Components Determining Factors Influencing Wind Economics in New England How does wind compare to the cost of other electricity options? Markets Siting Policy Technical Challenges Issues Small Wind Large Wind Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share Wind Power Economics Long-Term Cost Trends Since the first major installations of commercial-scale wind turbines in the 1980s, the cost of energy from wind power projects has decreased substantially due to larger turbine generators, towers, and rotor lengths; scale economies associated with larger projects; improvements in manufacturing efficiency, and technological advances in turbine generator and blade design. These technological advances have allowed for higher generating capacities per turbine and more efficient capture of wind, especially at lower wind speeds.

260

New England Wind Forum: Large Wind  

Wind Powering America (EERE)

Small Wind Small Wind Large Wind Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share Large Wind When establishing wind farms, wind energy developers generally approach landowners where they want to build. Interest in wind farms is frequently spurred by external pressures such as tax and other financial incentives and legislative mandates. Since each situation is influenced by local policies and permitting, we can only provide general guidance to help you learn about the process of installing wind turbines. Publications Wind Project Development Process Permitting of Wind Energy Facilities: A Handbook. (August 2002). National Wind Coordinating Collaborative. Landowner Frequently Asked Questions and Answers. (August 2003). "State Wind Working Group Handbook." pp. 130-133.

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

NREL: Wind Research - International Wind Resource Maps  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Resource Maps NREL is helping to develop high-resolution projections of wind resources worldwide. This allows for more accurate siting of wind turbines and has led to the...

262

NREL: Wind Research - Wind Project Development Updates  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Project Development Updates A 2.3 megawatt Siemens wind turbine nacelle on route to the Record Hill Wind project in Roxbury, Maine. January 14, 2013 As a result of the...

263

2012 Wind Technologies Market Report Summary  

Wind Powering America (EERE)

Efficiency & Renewable Energy eere.energy.gov Efficiency & Renewable Energy eere.energy.gov 1 Program Name or Ancillary Text eere.energy.gov WIND AND WATER POWER PROGRAM 1 2012 Wind Technologies Market Report Summary Ryan Wiser, Ph.D. Lawrence Berkeley National Laboratory WPA All-States Summit May 8, 2013 WIND AND WATER POWER PROGRAM 2 2012 Wind Technologies Market Report Purpose, Scope, and Data: * Publicly available annual report summarizing key trends in the U.S. wind power market, with a focus on 2012 * Scope primarily includes wind turbines over 100 kW in size * Separate DOE-funded annual reports on distributed and offshore wind * Data sources include AWEA, EIA, FERC, SEC, etc. (see full report) Report Authors: * Primary authors: Ryan Wiser and Mark Bolinger, Berkeley Lab * Contributions from others at Berkeley Lab, Exeter Associates, NREL

264

Wind Energy Resource Atlas of Southeast China  

DOE Green Energy (OSTI)

This wind energy resource atlas identifies the wind characteristics and distribution of the wind resource in two regions of southeast China. The first region is the coastal area stretching from northern Fujian south to eastern Guangdong and extending approximately 100 km inland. The second region is centered on the Poyang Lake area in northern Jiangxi. This region also includes parts of two other provinces-Anhui and Hubei-and extends from near Anqing in Anhui south to near Nanchang in Jiangxi. The detailed wind resource maps and other information contained in the atlas facilitate the identification of prospective areas for use of wind energy technologies, both for utility-scale power generation and off-grid wind energy applications. We created the high-resolution (1-km2) maps in 1998 using a computerized wind resource mapping system developed at the National Renewable Energy Laboratory (NREL). The mapping system uses software known as a Geographical Information System (GIS).

Elliott, D.; Schwartz, M.; Scott, G.; Haymes, S.; Heimiller, D.; George, R.

2002-11-01T23:59:59.000Z

265

Wind turbine  

DOE Patents (OSTI)

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.

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

1982-01-01T23:59:59.000Z

266

Effect of generalized wind characteristics on annual power estimates from wind turbine generators  

SciTech Connect

A technique is presented for estimating the average power output of a wind turbine using, as the wind characteristic input, only the mean annual wind magnitude. Hourly wind speeds are assumed to have a Rayleigh frequency distribution which requires a single parameter input (e.g., the mean value, variance or higher moment values). Based upon a general shape, for the wind speed versus machine output, a generic set of curves is developed to estimate the average power output of wind turbines. Also, estimates of the percent of time the wind turbine would not produce power (percent down time) and the percent of time the wind turbine would be operating at its rated power are presented.

Cliff, W.C.

1977-10-01T23:59:59.000Z

267

Topic: Wind Engineering  

Science Conference Proceedings (OSTI)

Topic: Wind Engineering. Forty-Fourth Meeting of the UJNR Panel on Wind and Seismic Effects. NIST researchers collected ...

2011-08-31T23:59:59.000Z

268

Extreme Wind Speeds: Publications  

Science Conference Proceedings (OSTI)

... "Algorithms for Generating Large Sets of Synthetic Directional Wind Speed Data for Hurricane, Thunderstorm, and Synoptic Winds," NIST Technical ...

2013-08-19T23:59:59.000Z

269

NREL: Wind Research - Offshore Wind Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Options Site Map Printable Version Offshore Standards and Testing NREL's Offshore Wind Testing Capabilities 35 years of wind turbine testing experience Custom high speed data...

270

A New Approach for the Determination of Horizontal Wind Direction Fluctuations  

Science Conference Proceedings (OSTI)

A new method to determine horizontal wind direction fluctuations ?? is presented based on the hypothesis of a Gaussian distribution of wind direction that gradually moves to a circular, uniform distribution under near-clam conditions. A ...

J. I. Ibarra

1995-09-01T23:59:59.000Z

271

Spatial Snow Modeling of Wind-Redistributed Snow Using Terrain-Based Parameters  

Science Conference Proceedings (OSTI)

Wind is widely recognized as one of the dominant controls of snow accumulation and distribution in exposed alpine regions. Complex and highly variable wind fields in rugged terrain lead to similarly complex snow distribution fields with areas of ...

Adam Winstral; Kelly Elder; Robert E. Davis

2002-10-01T23:59:59.000Z

272

NREL: Wind Research - Small Wind Turbine Development  

NLE Websites -- All DOE Office Websites (Extended Search)

Small Wind Turbine Development Small Wind Turbine Development A photo of Southwest Windpower's Skystream wind turbine in front of a home. PIX14936 Southwest Windpower's Skystream wind turbine. A photo of the Endurance wind turbine. PIX15006 The Endurance wind turbine. A photo of the Atlantic Orient Corporation 15/50 wind turbine at the National Wind Technology Center. PIX07301 The Atlantic Orient Corporation 15/50 wind turbine at the National Wind Technology Center. NREL supports continued market expansion of small wind turbines by funding manufacturers through competitive solicitations (i.e., subcontracts and/or grants) to refine prototype systems leading to commercialization. Learn more about the turbine development projects below. Skystream NREL installed and tested an early prototype of this turbine at the

273

NREL: Wind Research - Small Wind Turbine Webinars  

NLE Websites -- All DOE Office Websites (Extended Search)

Small Wind Turbine Webinars Small Wind Turbine Webinars Here you will find webinars about small wind turbines that NREL hosted. Introducing WindLease(tm): Making Wind Energy Affordable NREL and the American Solar Energy Society (ASES) Wind Division co-hosted this webinar. (Text Version.) Date: August 1, 2013 Run Time: 40 minutes Joe Hess, VP of Business Development at United Wind, described United Wind's WindQuote and WindLease Program and explained the process from the dealer's and consumer's perspective. Texas Renewable Energy Industries Association NREL and the American Solar Energy Society (ASES) Wind Division co-hosted this webinar. (Text Version). Date: March 7, 2013 Run Time: 1 hour Russel Smith, Texas Renewable Energy Industries Association executive director and co-founder, provided an overview of the trade association

274

Wind Development on the Rosebud  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Rosebud Sioux Rosebud Sioux Indian Reservation Wind Development on the Rosebud Akicita Cikala 750 Kw turbine Owl Feather War Bonnet Wind Farm, 30Mw North Antelope Highlands Wind Farm, 190Mw Met towers installed in 2003 Met tower installed in 2001 Met tower installed in 1999 Met towers installed in 2009 Akicita Cikala Turbine Neg Micon 750kw Commissioned March 2003 Owl Feather War Bonnet Wind Farm 2003 Dept. of Energy Grant DOE Funding $448,551.00 DISGEN Cost share/in-kind $78,750.00 RST/TUC Cost share/in-kind $27,272.00 Participants in Development RST Resource Development Office, Ken Haukaas, Coordinator RST Tribal Utilities Commission, Tony Rogers, Director RST Natural Resource Office, Stephanie Middlebrooks, Wildlife Biologist Distribute Generation Inc., Dale Osborn, President, Belvin Pete, Project

275

United States areal wind resource assessment  

SciTech Connect

Estimates of the electricity that could potentially be generated by wind power and of the land area available for wind energy development have been calculated for the contiguous United States, in support of the US Department of Energy`s National Energy Strategy. These estimates were based on the wind resource data published in a national resource atlas. Estimates of the wind resource in this atlas are expressed in wind power classes ranging from class 1 to class 7, with each class representing a range of mean wind power density or equivalent mean speed at specified heights above the ground (Table 1) . Areas designatedclass 4 or greater are suitable for most wind turbine applications. Power class 3 areas are suitable for wind energy development using tall (50-m hub height) turbines. Class 2 areas are marginal and class 1 areas unsuitable for wind energy development. A map of the areal (percentage of land area) distribution of the wind resource digitized in grid cells (1/4{degrees} latitude by 1/3{degrees} longitude) shows that exposed areas with moderate to high wind resource (class 3 and greater) are dispersed throughout much of the contiguous United States.

Schwartz, M.N.; Elliott, D.L.

1993-03-01T23:59:59.000Z

276

United States areal wind resource assessment  

SciTech Connect

Estimates of the electricity that could potentially be generated by wind power and of the land area available for wind energy development have been calculated for the contiguous United States, in support of the US Department of Energy's National Energy Strategy. These estimates were based on the wind resource data published in a national resource atlas. Estimates of the wind resource in this atlas are expressed in wind power classes ranging from class 1 to class 7, with each class representing a range of mean wind power density or equivalent mean speed at specified heights above the ground (Table 1) . Areas designatedclass 4 or greater are suitable for most wind turbine applications. Power class 3 areas are suitable for wind energy development using tall (50-m hub height) turbines. Class 2 areas are marginal and class 1 areas unsuitable for wind energy development. A map of the areal (percentage of land area) distribution of the wind resource digitized in grid cells (1/4[degrees] latitude by 1/3[degrees] longitude) shows that exposed areas with moderate to high wind resource (class 3 and greater) are dispersed throughout much of the contiguous United States.

Schwartz, M.N.; Elliott, D.L.

1993-03-01T23:59:59.000Z

277

WIND DATA REPORT Rockport School Complex  

E-Print Network (OSTI)

- Wind Speed Distribution, December 1st 2006--March 1st 2007 April 13, 2007 Renewable Energy ResearchWIND DATA REPORT Rockport School Complex Rockport, Massachusetts December 1, 2006 ­ February 28 version 3.1 Renewable Energy Research Laboratory University of Massachusetts, Amherst 160 Governors Drive

Massachusetts at Amherst, University of

278

The Wind Energy Outlook Scenarios 1 India Wind Energy  

E-Print Network (OSTI)

1 ?Status of wind energy in India ????????????????????6 Wind energy in India????????????????????????????????????????????????????????????????????????????????????7 Wind power resource assessment?????????????????????????????????????????????????????????6 Wind power installations by state?????????????????????????????????????????????????????????8

unknown authors

2012-01-01T23:59:59.000Z

279

Utility-Scale Wind Turbines | Open Energy Information  

Open Energy Info (EERE)

and Economic Development. Accessed September 27, 2013. References "U.S. Department of Energy. 2012 Market Report on U.S. Wind Technologies in Distributed Applications"...

280

Hybrid Wind and Solar Electric Systems | Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

-- not connected to an electricity distribution system. For the times when neither the wind nor the solar system are producing, most hybrid systems provide power through...

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Capacity Assessment of a Transmission Tower under Wind Loading.  

E-Print Network (OSTI)

??Transmission towers play a vital role in power distribution networks and are often subject to strong wind loads. Lattice tower design is often based on… (more)

Mara, Thomas G

2013-01-01T23:59:59.000Z

282

NREL: Wind Research - Site Wind Resource Characteristics  

NLE Websites -- All DOE Office Websites (Extended Search)

Site Wind Resource Characteristics Site Wind Resource Characteristics A graphic showing the location of National Wind Technology Center and its wind power class 2. Click on the image to view a larger version. Enlarge image This graphic shows the wind power class at the National Wind Technology Center. You can download a printable copy. The National Wind Technology Center (NWTC) is on the Great Plains just miles from the Rocky Mountains. The site is flat and covered with short grasses. The terrain and lack of obstructions make the site highly suitable for testing wind turbines. Take a tour of the NWTC and its facilities to better understand its location and layout. Another prime feature of the NWTC is the strong directionality of the wind - most of the strong winds come within a few degrees of 285°. West of

283

NREL: Wind Research - Offshore Wind Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Offshore Wind Research Offshore Wind Research Photo of a European offshore wind farm. Early progress in European Offshore Wind Energy over the last decade provides a glimpse into the vast potential of the global offshore resource. For more than eight years, NREL has worked with the Department of Energy to become an international leader in offshore wind energy research. Capabilities NREL's offshore wind capabilities focus on critical areas that reflect the long-term needs of the offshore wind energy industry and the U.S. Department of Energy including: Offshore Design Tools and Methods Offshore Standards and Testing Energy Analysis of Offshore Systems Offshore Wind Resource Characterization Grid Integration of Offshore Wind Key Research NREL documented the status of offshore wind energy in the United States in

284

Observed and CAM3 GCM Sea Surface Wind  

E-Print Network (OSTI)

Observed and CAM3 GCM Sea Surface Wind Speed Distributions: Characterization, Comparison, and Bias climatological surface wind speed probability density functions (PDFs) estimated from observations and use them to evaluate, for the first time, contemporaneous wind PDFs predicted by a GCM. The ob- servations include NASA

Zender, Charles

285

Wind field estimation for autonomous dynamic soaring Jack W. Langelaan  

E-Print Network (OSTI)

Wind field estimation for autonomous dynamic soaring Jack W. Langelaan Aerospace Engineering, Penn for distributed parameter estimation of a previously unknown wind field is described. The application is dynamic parameterization of the wind field is used, allowing implementation of a linear Kalman filter for parameter

Spletzer, John R.

286

Wave Dependence of Sea-Surface Wind Stress  

Science Conference Proceedings (OSTI)

Distribution of the wind stress over the oceans is usually estimated by using a bulk formula. It contains the squared 10-m wind speed multiplied by the drag coefficient, which has been assumed in many cases to be a weak function of the 10-m wind ...

Yoshiaki Toba; Noriko Iida; Hiroshi Kawamura; Naoto Ebuchi; Ian S. F. Jones

1990-05-01T23:59:59.000Z

287

Wind Energy Resource Assessment of the Caribbean and Central America  

DOE Green Energy (OSTI)

A wind energy resource assessment of the Caribbean and Central America has identified many areas with good to outstanding wind resource potential for wind turbine applications. Annual average wind resource maps and summary tables have been developed for 35 island/country areas throughout the Caribbean and Central America region. The wind resource maps highlight the locations of major resource areas and provide estimates of the wind energy resource potential for typical well-exposed sites in these areas. The average energy in the wind flowing in the layer near the ground is expressed as a wind power class: the greater the average wind energy, the higher the wind power class. The summary tables that are included with each of the 35 island/country wind energy maps provide information on the frequency distribution of the wind speeds (expressed as estimates of the Weibull shape factor, k) and seasonal variations in the wind resource for the major wind resource areas identified on the maps. A new wind power class legend has been developed for relating the wind power classes to values of mean wind power density, mean wind speed, and Weibull k. Guidelines are presented on how to adjust these values to various heights above ground for different roughness and terrain characteristics. Information evaluated in preparing the assessment included existing meteorological data from airports and other weather stations, and from ships and buoys in offshore and coastal areas. In addition, new data from recent measurement sites established for wind energy siting studies were obtained for a few areas of the Caribbean. Other types of information evaluated in the assessment were climatological data and maps on winds aloft, surface pressure, air flow, and topography. The various data were screened and evaluated for their usefulness in preparing the wind resource assessment. Much of the surface data from airports and other land-based weather stations were determined to be from sheltered sites and were thus not very useful in assessing the wind resource at locations that are well exposed to the winds. Ship data were determined to be the most useful for estimating the large-scale wind flow and assessing the spatial distribution of the wind resource throughout the region. Techniques were developed for analyzing and correcting ship wind data and extrapolating these data to coastal and inland areas by considering terrain influences on the large-scale wind flow. In areas where extrapolation of ship wind data was not entirely feasible, such as interior areas of Central America, other techniques were developed for estimating the wind flow and distribution of the wind resource. Through the application of the various innovative techniques developed for assessing the wind resource throughout the Caribbean and Central America region, many areas with potentially good to outstanding wind resource were identified that had not been previously recognized. In areas where existing site data were available from exposed locations, the measured wind resource was compared with the estimated wind resource that was derived using the assessment techniques. In most cases, there was good agreement between the measured wind resource and the estimated wind resource. This assessment project supported activities being pursued by the U.S. Committee for Renewable Energy Commerce and Trade (CORECT), the U.S. government's interagency program to assist in overseas marketing and promote renewable energy exports. An overall goal of the program is to improve U.S. competitiveness in the world renewable energy market. The Caribbean and Central America assessment, which is the first of several possible follow-on international wind energy resource assessments, provides valuable information needed by the U.S. wind energy industry to identify suitable wind resource areas and concentrate their efforts on these areas.

DL Elliott; CI Aspliden; GL Gower; CG Holladay, MN Schwartz

1987-04-01T23:59:59.000Z

288

Energy Basics: Wind Power Animation  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Solar Wind Wind Turbines Wind Resources Wind Power...

289

Energy Basics: Wind Energy Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Solar Wind Wind Turbines Wind Resources Wind Energy...

290

Energy Basics: Wind Energy Technologies  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Solar Wind Wind Turbines Wind Resources Wind Energy...

291

Energy Basics: Wind Energy Technologies  

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

Photo of a hilly field, with six visible wind turbines spinning in the wind. Wind energy technologies use the energy in wind for practical purposes such as generating...

292

Solar Wind | Open Energy Information  

Open Energy Info (EERE)

Wind Jump to: navigation, search Name Solar Wind Place Krasnodar, Romania Zip 350000 Sector Solar, Wind energy Product Russia-based PV product manufacturer. Solar Wind manufactures...

293

EERE: Wind Program Home Page  

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

wind projects and offshore wind resource potential. Offshore Wind R&D DOE makes strategic research & deployment investments to launch domestic offshore wind industry....

294

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

A. 2010. Impact of Wind Energy Installations on DomesticUniversity. American Wind Energy Association (AWEA). 2012a.D.C. : American Wind Energy Association. American Wind

Bolinger, Mark

2013-01-01T23:59:59.000Z

295

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

and K. Porter. 2011. Wind Power and Electricity Markets.41 6. Wind Power Priceat Various Levels of Wind Power Capacity Penetration Wind

Bolinger, Mark

2013-01-01T23:59:59.000Z

296

Horizon Wind  

E-Print Network (OSTI)

The Washington Department of Fish and Wildlife (WDFW) does not have regulatory authority specific to wind power development at this time. WDFW is an agency with environmental expertise as provided for through the Washington Administrative Code (WAC) 197-11-920. Comments related to environmental impacts are provided to regulatory authorities through the State Environmental Policy Act (SEPA) Revised Code of Washington (RCW) 43.21C review process.

Cover Photo; Nina Carter; Heath Packard; Lisa Paribello; Craig Dublanko; Dana Peck; Nicole Hughes; Bill Robinson; Robert Kruse; Arlo Corwin; Joe Buchanan; Ted Clausing; Eric Cummins; Travis Nelson; Eric Pentico; Mike Ritter; Jeff Tayer; James Watson; William Weiler; David Mcclure

2009-01-01T23:59:59.000Z

297

Combined Experiment Phase 1. [Horizontal axis wind turbines: wind tunnel testing versus field testing  

DOE Green Energy (OSTI)

How does wind tunnel airfoil data differ from the airfoil performance on an operating horizontal axis wind turbine (HAWT) The National Renewable Energy laboratory has been conducting a comprehensive test program focused on answering this question and understanding the basic fluid mechanics of rotating HAWT stall aerodynamics. The basic approach was to instrument a wind rotor, using an airfoil that was well documented by wind tunnel tests, and measure operating pressure distributions on the rotating blade. Based an the integrated values of the pressure data, airfoil performance coefficients were obtained, and comparisons were made between the rotating data and the wind tunnel data. Care was taken to the aerodynamic and geometric differences between the rotating and the wind tunnel models. This is the first of two reports describing the Combined Experiment Program and its results. This Phase I report covers background information such as test setup and instrumentation. It also includes wind tunnel test results and roughness testing.

Butterfield, C.P.; Musial, W.P.; Simms, D.A.

1992-10-01T23:59:59.000Z

298

NREL: Wind Research - Information and Outreach  

NLE Websites -- All DOE Office Websites (Extended Search)

small wind systems. Printable Version Wind Research Home Capabilities Projects Offshore Wind Research Large Wind Turbine Research Midsize Wind Turbine Research Small Wind Turbine...

299

Charlestown Wind Turbine | Open Energy Information  

Open Energy Info (EERE)

Charlestown Wind Turbine Charlestown Wind Turbine Jump to: navigation, search Name Charlestown Wind Turbine Facility Charlestown Wind Turbine Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner MWRA Developer MWRA Energy Purchaser Distributed generation - net metered Location Boston MA Coordinates 42.39094522°, -71.07094288° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.39094522,"lon":-71.07094288,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

300

IDGWP Wind Farm | Open Energy Information  

Open Energy Info (EERE)

IDGWP Wind Farm IDGWP Wind Farm Jump to: navigation, search Name IDGWP Wind Farm Facility IDGWP Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Cedar Falls Developer Iowa Distributed Wind Generation Project Energy Purchaser Cedar Falls Location Algona IA Coordinates 43.0699663°, -94.233019° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.0699663,"lon":-94.233019,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Wind Power Integration: Smoothing Short-Term Power Fluctuations  

Science Conference Proceedings (OSTI)

With the rapid growth of wind power generation, utility systems are beginning to feel the intermittent and variable nature of these wind resources in electricity transmission and distribution system operations. Both short-term power fluctuations resulting from gusty winds and longer term variations resulting from diurnal wind speed variations and shifting weather patterns can affect utility power delivery as well as grid operations. This report addresses the characteristics of short-term power fluctuatio...

2005-04-12T23:59:59.000Z

302

Wind Power Integration: Energy Storage for Firming and Shaping  

Science Conference Proceedings (OSTI)

With the rapid growth of wind power generation, utility systems are beginning to experience the intermittent and variable nature of wind resources in electricity transmission and distribution system operations. Both short-term power fluctuations resulting from gusty winds and longer term power output variations resulting from diurnal wind speed variations and shifting weather patterns can affect utility power delivery as well as grid operations. This report addresses the longer-term power variations of w...

2005-03-28T23:59:59.000Z

303

Impact of Wind Power Integration on Fault Current Management  

Science Conference Proceedings (OSTI)

This report presents a study on the impact of wind power integration on the grid fault current level due to various types of faults that might take place inside or outside of wind farms. Wind power is one of the renewable energy sources that has shown tremendous growth in recent years. The increasing integration of wind energy generation and other distributed renewable energy generation could change grid behavior under fault situations and influence system stability. Specifically, integration of addition...

2010-01-14T23:59:59.000Z

304

WIND DATA REPORT March 01, 2007 May 31, 2007  

E-Print Network (OSTI)

2007 Wind Roses Figure 7 ­ Wind Rose, March 2007 ­ May 2007 July 16, 2007 Renewable Energy Research 22.5 0 23.5 0 24.5 0 Table 1 - Wind Speed Distribution, 50 m July 16, 2007 Renewable Energy Research.84 23.5 5.96 Table 3 - Diurnal Average Wind Speeds, 50 m July 16, 2007 Renewable Energy Research

Massachusetts at Amherst, University of

305

Numerical calculations of wind flow in a full-scale wind test facility  

DOE Green Energy (OSTI)

Numerical studies on wind flow around the Texas Tech University (TTU) Wind Engineering Research Field Laboratory (WERFL) building were conducted. The main focus of this paper is wind loads on the TTU building in the INEEL proposed Windstorm Simulation Center. The results are presented in the form of distributions of static pressure, dynamic pressure, pressure coefficients, and velocity vectors on the surface and the vicinity of the TTU building.

C.H. Oh; J.M. Lacey

1999-06-20T23:59:59.000Z

306

Wind Vision Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Wind Farm Wind Farm Jump to: navigation, search Name Wind Vision Wind Farm Facility Wind Vision Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Wind Vision Developer Wind Vision Location St. Ansgar IA Coordinates 43.348224°, -92.888816° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.348224,"lon":-92.888816,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

307

High Winds Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Winds Wind Farm Winds Wind Farm Jump to: navigation, search Name High Winds Wind Farm Facility High Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer NextEra Energy Resources Energy Purchaser PPM Energy Inc Location Solano County CA Coordinates 38.124844°, -121.764915° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.124844,"lon":-121.764915,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

308

Wind Development on Tribal Lands  

SciTech Connect

Background: The Rosebud Sioux Tribe (RST) is located in south central South Dakota near the Nebraska border. The nearest community of size is Valentine, Nebraska. The RST is a recipient of several Department of Energy grants, written by Distributed Generation Systems, Inc. (Disgen), for the purposes of assessing the feasibility of its wind resource and subsequently to fund the development of the project. Disgen, as the contracting entity to the RST for this project, has completed all the pre-construction activities, with the exception of the power purchase agreement and interconnection agreement, to commence financing and construction of the project. The focus of this financing is to maximize the economic benefits to the RST while achieving commercially reasonable rates of return and fees for the other parties involved. Each of the development activities required and its status is discussed below. Land Resource: The Owl Feather War Bonnet 30 MW Wind Project is located on RST Tribal Trust Land of approximately 680 acres adjacent to the community of St. Francis, South Dakota. The RST Tribal Council has voted on several occasions for the development of this land for wind energy purposes, as has the District of St. Francis. Actual footprint of wind farm will be approx. 50 acres. Wind Resource Assessment: The wind data has been collected from the site since May 1, 2001 and continues to be collected and analyzed. The latest projections indicate a net capacity factor of 42% at a hub height of 80 meters. The data has been collected utilizing an NRG 9300 Data logger System with instrumentation installed at 30, 40 and 65 meters on an existing KINI radio tower. The long-term annual average wind speed at 65-meters above ground level is 18.2 mph (8.1 mps) and 18.7 mph (8.4 mps) at 80-meters agl. The wind resource is excellent and supports project financing.

Ken Haukaas; Dale Osborn; Belvin Pete

2008-01-18T23:59:59.000Z

309

Wind Power Today  

SciTech Connect

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.

2006-05-01T23:59:59.000Z

310

Wind Power Today  

DOE Green Energy (OSTI)

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.

Not Available

2007-05-01T23:59:59.000Z

311

Wind Energy: From Coast to Coast, Wind Turbines are Generating Electricity  

Energy.gov (U.S. Department of Energy (DOE))

Fact sheet describes wind energy costs that have declined dramatically during the past decade. Both stand-alone and grid-connected applications (groups of wind turbines that feed into a central power-distribution grid) are covered in this fact sheet.

312

Wind energy manual  

E-Print Network (OSTI)

Objectives: The course introduces principles of wind power production, design of wind turbines, location and design of wind farms, control of turbines and wind farms, predictive modeling, diagnostics, operations and maintenance, condition monitoring, health monitoring and of turbine components and systems, wind farm performance optimization, and integration of wind power with a grid. The modeling and analysis aspect of the topics discussed in the class will be illustrated with examples and case studies. Textbook: References:

A. Vieira; Da Rosa; Fundamentals Renewable; Energy Processes; San Diego; Jacob Kirpes; Small Wind

2013-01-01T23:59:59.000Z

313

NREL: Wind Research - Testing  

NLE Websites -- All DOE Office Websites (Extended Search)

Testing Photo of a large wind turbine blade sticking out of the structural testing laboratory; it is perpendicular to a building at the National Wind Technology Center. A...

314

Wind | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Assessment and Characterization Defining, measuring, and forecasting land-based and offshore wind resources Environmental Impacts and Siting of Wind Projects Avoiding,...

315

Wind/Hydro Study  

NLE Websites -- All DOE Office Websites (Extended Search)

WindHydro Integration Feasibility Study Announcements (Updated July 8, 2010) The Final WindHydro Integration Feasibility Study Report, dated June 2, 2009, has been submitted to...

316

Wind Energy Technologies  

Energy.gov (U.S. Department of Energy (DOE))

Wind energy technologies use the energy in wind for practical purposes such as generating electricity, charging batteries, pumping water, and grinding grain.

317

Wind for Schools (Poster)  

SciTech Connect

As the United States dramatically expands wind energy deployment, the industry is challenged with developing a skilled workforce and addressing public resistance. Wind Powering America's Wind for Schools project addresses these issues by developing Wind Application Centers (WACs) at universities; WAC students assist in implementing school wind turbines and participate in wind courses, by installing small wind turbines at community "host" schools, by implementing teacher training with interactive curricula at each host school. This poster provides an overview of the first two years of the Wind for Schools project, primarily supporting activities in Colorado, Kansas, Nebraska, South Dakota, Montana, and Idaho.

Baring-Gould, I.

2010-05-01T23:59:59.000Z

318

Wind for Schools (Poster)  

SciTech Connect

As the United States dramatically expands wind energy deployment, the industry is challenged with developing a skilled workforce and addressing public resistance. Wind Powering America's Wind for Schools project addresses these issues by developing Wind Application Centers (WACs) at universities; WAC students assist in implementing school wind turbines and participate in wind courses, by installing small wind turbines at community "host" schools, by implementing teacher training with interactive curricula at each host school. This poster provides an overview of the first two years of the Wind for Schools project, primarily supporting activities in Colorado, Kansas, Nebraska, South Dakota, Montana, and Idaho.

Baring-Gould, I.

2010-05-01T23:59:59.000Z

319

Wind energy bibliography  

DOE Green Energy (OSTI)

This bibliography is designed to help the reader search for information on wind energy. The bibliography is intended to help several audiences, including engineers and scientists who may be unfamiliar with a particular aspect of wind energy, university researchers who are interested in this field, manufacturers who want to learn more about specific wind topics, and librarians who provide information to their clients. Topics covered range from the history of wind energy use to advanced wind turbine design. References for wind energy economics, the wind energy resource, and environmental and institutional issues related to wind energy are also included.

None

1995-05-01T23:59:59.000Z

320

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

policy support for other renewable energy sources, wind mayrenewable energy and climate policy initiatives. With wind

Bolinger, Mark

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Diablo Winds Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Diablo Winds Wind Farm Diablo Winds Wind Farm Facility Diablo Winds Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer NextEra Energy Resources Energy Purchaser Pacific Gas & Electric Co Location Altamont Pass CA Coordinates 37.7347°, -121.652° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.7347,"lon":-121.652,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

322

NREL: Wind Research - Offshore Wind Resource Characterization  

NLE Websites -- All DOE Office Websites (Extended Search)

Offshore Wind Resource Characterization Offshore Wind Resource Characterization Map of the United States, showing the wind potential of offshore areas across the country. Enlarge image US offshore wind speed estimates at 90-m height NREL scientists and engineers are leading efforts in resource mapping, remote sensor measurement and development, and forecasting that are essential for the development of offshore wind. Resource Mapping For more than 15 years, NREL's meteorologists, engineers, and Geographic Information System experts have led the production of wind resource characterization maps and reports used by policy makers, private industry, and other government organizations to inform and accelerate the development of wind energy in the United States. Offshore wind resource data and mapping has strategic uses. As with terrestrial developments, traditional

323

NREL: Wind Research - Midsize Wind Turbine Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Midsize Wind Turbine Research Midsize Wind Turbine Research To facilitate the development and commercialization of midsize wind turbines (turbines with a capacity rating of more than 100 kW up to 1 MW), the U.S. Department of Energy (DOE) and NREL launched the Midsize Wind Turbine Development Project. In its latest study, NREL determined that there is a substantial market for midsize wind turbines. One of the most significant barriers to the midsize turbine market is the lack of turbines available for deployment; there are few midsize turbines on the market today. The objectives of the Midsize Wind Turbine Development Project are to reduce the barriers to wind energy expansion by filling an existing domestic technology gap; facilitate partnerships; accelerate maturation of existing U.S. wind energy businesses; and incorporate process improvement

324

Commonwealth Wind Incentive Program – Micro Wind Initiative  

Energy.gov (U.S. Department of Energy (DOE))

Through the Commonwealth Wind Incentive Program – Micro Wind Initiative the Massachusetts Clean Energy Center (MassCEC) offers rebates of up to $4/W with a maximum of $130,000 for design and...

325

Wind Power Today: Federal Wind Program Highlights  

DOE Green Energy (OSTI)

Wind Power Today is an annual publication that provides an overview of the wind research conducted under the U.S. Department of Energy's Wind and Hydropower Technologies Program. The purpose of Wind Power Today is to show how DOE supports wind turbine research and deployment in hopes of furthering the advancement of wind technologies that produce clean, low-cost, reliable energy. Content objectives include: educate readers about the advantages and potential for widespread deployment of wind energy; explain the program's objectives and goals; describe the program's accomplishments in research and application; examine the barriers to widespread deployment; describe the benefits of continued research and development; facilitate technology transfer; and attract cooperative wind energy projects with industry.

Not Available

2005-04-01T23:59:59.000Z

326

Weibull Statistics of Wind Speed over the Ocean  

Science Conference Proceedings (OSTI)

The probability distribution of wind speed data over the world's oceans is studied using a two-parameter Weibull distribution. The parameters are estimated following a linearized least-squares approach. The seasonal and latitudinal variation are ...

Edgar G. Pavia; James J. O'Brien

1986-10-01T23:59:59.000Z

327

Optimization locations of wind turbines with the particle swarm optimization  

Science Conference Proceedings (OSTI)

In this paper, a new algorithm is presented for the locations of wind turbine in the distribution systems. Technical constraints such as feeder capacity limits, bus voltage, and load balance are considered. The Particle Swarm Optimization(PSO) is applied ... Keywords: distribution system, equivalent current injection, particle swarm optimization, wind turbine

Ming-Tang Tsai; Szu-Wzi Wu

2012-06-01T23:59:59.000Z

328

Fort Peck Reservations Wind Project  

DOE Green Energy (OSTI)

The research area adds to the understanding of the area investigated by installing two 50kW Wind Turbines in a distributed generation project to save money by reducing the annual bill from the local utility. These turbines have been producing power and reducing the kWh consumed at the Tribal Headquarters Building for approximately 11 months. The Turbines are almost one year old and the Tribe is conducting regular maintenance checks and inspections to keep the Turbines in good working order. These Turbines are the impetus for the development of an Energy Department to serve as the focal point for wind development on the Reservation and to provide management for the business side of wind energy, (i.e. green tag sales, O & M contracts, and Power Purchase Agreements).

Walter White Tail Feather

2007-08-15T23:59:59.000Z

329

Rosebud Sioux Wind Energy Project  

DOE Green Energy (OSTI)

In 1998, through the vision of the late Alex “Little Soldier” Lunderman (1928-2000) and through the efforts of the Rosebud Sioux Tribal Utilities Commission, and with assistance from Intertribal Council on Utility Policy (COUP), and Distributed Generation, Inc (DISGEN). The Rosebud Sioux Tribe applied and was awarded in 1999 a DOE Cooperative Grant to build a commercial 750 Kw wind turbine, along with a 50/50 funding grant from the Department of Energy and a low interest loan from the Rural Utilities Service, United States Department of Agriculture, the Rosebud Sioux Tribe commissioned a single 750 kilowatt NEG Micon wind turbine in March of 2003 near the Rosebud Casino. The Rosebud Sioux Wind Energy Project (Little Soldier “Akicita Cikala”) Turbine stands as a testament to the vision of a man and the Sicangu Oyate.

Tony Rogers

2008-04-30T23:59:59.000Z

330

Seasonal variability of wind electric potential in the United States  

DOE Green Energy (OSTI)

Seasonal wind electric potential has been estimated for the contiguous United States based on the methods previously used to estimate the annual average wind electric potential. National maps show estimates of the seasonal wind electric potential averaged over the state as a whole, and gridded maps show the distribution of the seasonal wind electric potential within a state. The seasons of winter and spring have highest wind electric potential for most windy areas in the United States. Summer is the season with the least potential for most of the contiguous United States. Wind electric potential patterns in autumn generally resemble the annual average potential map. Excellent matches between seasonal wind electric potential and electric energy use occur during winter for the northern parts of the nation. California has a good match between summer wind potential and electric use.

Schwartz, M.N.; Elliott, D.L.; Gower, G.L.

1993-07-01T23:59:59.000Z

331

EA-1903: Kansas State University Zond Wind Energy Project, Manhattan,  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3: Kansas State University Zond Wind Energy Project, 3: Kansas State University Zond Wind Energy Project, Manhattan, Kansas EA-1903: Kansas State University Zond Wind Energy Project, Manhattan, Kansas SUMMARY This EA evaluates the potential environmental impacts of a proposal to use Congressional Directed funds to develop the Great Plains Wind Energy Consortium aimed at increasing the penetration of wind energy via distributed wind power generation throughout the region. PUBLIC COMMENT OPPORTUNITIES None available at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD October 21, 2013 EA-1903: Notice of Extension Kansas State University Zond Wind Energy Project, Manhattan, Kansas September 11, 2013 EA-1903: Draft Environmental Assessment Kansas State University Zond Wind Energy Project, Manhattan, Kansas September 11, 2013

332

Siting guidelines for utility application of wind turbines. Final report  

DOE Green Energy (OSTI)

Utility-oriented guidelines are described for identifying viable sites for wind turbines. Topics and procedures are also discussed that are important in carrying out a wind turbine siting program. These topics include: a description of the Department of Energy wind resource atlases; procedures for predicting wind turbine performance at potential sites; methods for analyzing wind turbine economics; procedures for estimating installation and maintenance costs; methods for anlayzing the distribution of wind resources over an area; and instrumentation for documenting wind behavior at potential sites. The procedure described is applicable to small and large utilities. Although the procedure was developed as a site-selection tool, it can also be used by a utility who wishes to estimate the potential for wind turbine penetration into its future generation mix.

Pennell, W.T.

1983-01-01T23:59:59.000Z

333

Community-Owned wind power development: The challenge of applying the European model in the United States, and how states are addressing that challenge  

E-Print Network (OSTI)

Xcel Energy Small Distributed Wind Tariff and PPA,Xcel Energy’s small wind tariff and standardized powerto comply. 4 Xcel Energy’s Small Wind Tariff and PPA To

Bolinger, Mark

2004-01-01T23:59:59.000Z

334

Applications: Operational wind turbines  

E-Print Network (OSTI)

Capability Applications: Operational wind turbines Benefits: Optimize wind turbine performance Summary: Researchers at the Los Alamos National Laboratory (LANL) Intelligent Wind Turbine Program are developing a multi-physics modeling approach for the analysis of wind turbines in the presence of realistic

335

Wind powering America: Iowa  

DOE Green Energy (OSTI)

Wind resources in the state of Iowa show great potential for wind energy development. This fact sheet provides a brief description of the state's wind resources and the financial incentives available for the development of wind energy systems. It also provides a list of contacts for more information.

NREL

2000-04-11T23:59:59.000Z

336

West Winds Wind Farm | Open Energy Information  

Open Energy Info (EERE)

West Winds Wind Farm West Winds Wind Farm Facility West Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Caithness Developer SeaWest Energy Purchaser Southern California Edison/PacifiCorp Location San Gorgonio CA Coordinates 33.9095°, -116.734° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.9095,"lon":-116.734,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

337

New England Wind Forum: New England Wind Resources  

Wind Powering America (EERE)

New England Wind Forum About the New England Wind Forum New England Wind Energy Education Project Historic Wind Development in New England State Activities Projects in New England Building Wind Energy in New England Wind Resources Wind Power Technology Economics Markets Siting Policy Technical Challenges Issues Small Wind Large Wind Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share New England Wind Resources Go to the Vermont wind resource map. Go to the New Hampshire wind resource map. Go to the Maine wind resource map. Go to the Massachusetts wind resource map. Go to the Connecticut wind resource map. Go to the Rhode Island wind resource map. New England Wind Resource Maps Wind resources maps of Connecticut, Massachusetts, Maine, New Hampshire, Rhode Island, and Vermont.

338

Wind energy, offers considerable promise: the wind itself is free,  

E-Print Network (OSTI)

Wind energy, offers considerable promise: the wind itself is free, wind power is clean. One of these sources, wind energy, offers considerable promise: the wind itself is free, wind power is clean, and it is virtually inexhaustible. In recent years, research on wind energy has accelerated

Langendoen, Koen

339

Wind Powering America  

Wind Powering America (EERE)

These news items are notable additions These news items are notable additions to the Wind Powering America Web site. The Wind Powering America Web site reports recent national and state wind market changes by cataloging wind activities such as wind resource maps, small wind consumer's guides, local wind workshops, news articles, and publications in the areas of policy, public power, small wind, Native Americans, agricultural sector, economic development, public lands, and schools. en-us julie.jones@nrel.gov (Julie Jones) http://www.windpoweringamerica.gov/images/wpa_logo_sm.jpg Wind Powering America http://www.windpoweringamerica.gov/ Nominate an Electric Cooperative for Wind Power Leadership Award by January 15 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4076 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4076 Mon, 16

340

IEEE1547 and Distributed Wind in the New Wind Vision  

Wind Powering America (EERE)

and benefits, this will include environmental impacts such as greenhouse gas emissions, water use, and then economic development or workforce impacts, and energy diversity and risk...

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

NREL: Wind Research - Small Wind Site Assessment: Wind Powering...  

NLE Websites -- All DOE Office Websites (Extended Search)

environmental impacts have increased the demand for small wind energy systems for homeowners, schools, businesses, and local governments. Over the past decade, the knowledge,...

342

Colorado Wind Resource at 50 Meters Above Ground Level  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Resource at 50 Meters Above Ground Level Wind Resource at 50 Meters Above Ground Level Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: December 2003 Title: Colorado Wind Resource at 50 Meters Above Ground Level Geospatial_Data_Presentation_Form: vector digital data Online_Linkage: Description: Abstract: Annual average wind resource potential for the state of Colorado,

343

Wind emission of OB supergiants and the influence of clumping  

E-Print Network (OSTI)

The influence of the wind to the total continuum of OB supergiants is discussed. For wind velocity distributions with \\beta > 1.0, the wind can have strong influence to the total continuum emission, even at optical wavelengths. Comparing the continuum emission of clumped and unclumped winds, especially for stars with high \\beta values, delivers flux differences of up to 30% with maximum in the near-IR. Continuum observations at these wavelengths are therefore an ideal tool to discriminate between clumped and unclumped winds of OB supergiants.

Kraus, Michaela; Krticka, Jiri

2007-01-01T23:59:59.000Z

344

Wind emission of OB supergiants and the influence of clumping  

E-Print Network (OSTI)

The influence of the wind to the total continuum of OB supergiants is discussed. For wind velocity distributions with \\beta > 1.0, the wind can have strong influence to the total continuum emission, even at optical wavelengths. Comparing the continuum emission of clumped and unclumped winds, especially for stars with high \\beta values, delivers flux differences of up to 30% with maximum in the near-IR. Continuum observations at these wavelengths are therefore an ideal tool to discriminate between clumped and unclumped winds of OB supergiants.

Michaela Kraus; Jiri Kubat; Jiri Krticka

2007-08-06T23:59:59.000Z

345

Wind Power Outlook 2004  

DOE Green Energy (OSTI)

The brochure, expected to be updated annually, provides the American Wind Energy Association's (AWAE's) up-to-date assessment of the wind industry. It provides a summary of the state of wind power in the U.S., including the challenges and opportunities facing the industry. It provides summary information on the growth of the industry, policy-related factors such as the federal wind energy production tax credit status, comparisons with natural gas, and public views on wind energy.

anon.

2004-01-01T23:59:59.000Z

346

Wind Resource Maps (Postcard)  

DOE Green Energy (OSTI)

The U.S. Department of Energy's Wind Powering America initiative provides high-resolution wind maps and estimates of the wind resource potential that would be possible from development of the available windy land areas after excluding areas unlikely to be developed. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to Wind Powering America's online wind energy resource maps.

Not Available

2011-07-01T23:59:59.000Z

347

Wind Project Siting Tools | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Wind Project Siting Tools Jump to: navigation, search Photo from Alstom 2010, NREL 18207 The following tools are helpful for anyone planning a wind project. Resources Cadmus Group. (2012). Distributed Wind Site Analysis Tool. Accessed March 29, 2013. The Distributed Wind Site Analysis Tool is an online tool for conducting detailed site assessments for single-turbine projects, from residential to community scale. Eastern Interconnection States' Planning Council. (2013). EISPC EZ Mapping Tool. Accessed August 13, 2013. This free online mapping tool helps to identify potential clean energy

348

Sinomatech Wind Power Blade aka Sinoma Science Technology Wind...  

Open Energy Info (EERE)

Sinomatech Wind Power Blade aka Sinoma Science Technology Wind Turbine Blade Co Ltd Jump to: navigation, search Name Sinomatech Wind Power Blade (aka Sinoma Science & Technology...

349

NREL: Wind Research - Wind Applications Center Valuable Resource...  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Applications Center Valuable Resource for Wind for Schools Partners March 14, 2013 Audio with Jerry Hudgins, Nebraska Wind Applications Center Director and Joel Jacobs,...

350

Wind Powering America Webinar: Wind Power Economics: Past, Present...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Power Economics: Past, Present, and Future Trends Wind Powering America Webinar: Wind Power Economics: Past, Present, and Future Trends November 23, 2011 - 1:43pm Addthis Wind...

351

NREL: Wind Research - Small Wind Turbine Independent Testing  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Research Search More Search Options Site Map Printable Version Small Wind Turbine Independent Testing One of the barriers for the small wind market has been the lack...

352

Discussion of “Ultimate Wind Load Design Gust Wind Speeds ...  

Science Conference Proceedings (OSTI)

... Ind. Aerodyn., 97(3–4), 120–131. Peterka, JA (2001). “Database of peak gust wind speeds, Texas Tech/ CSU.” Extreme winds and wind effects on ...

2013-08-19T23:59:59.000Z

353

Community wind power ownership schemes in Europe and their relevance to the United States  

E-Print Network (OSTI)

single-phase, and would require upgrading to three-phase before interconnecting wind turbinesSingle-phase distribution lines are often too weak to interconnect more than a small (~25 kW) wind turbine,

Bolinger, Mark

2001-01-01T23:59:59.000Z

354

Stress above Wind-Plus-Paddle Waves: Modeling of a Laboratory Experiment  

Science Conference Proceedings (OSTI)

A model based on wind-over-waves coupling (WOWC) theory is used to simulate a laboratory experiment and to explain the observed peculiarities of the surface stress distribution above a combined wave field: wind-generated-plus-monochromatic-paddle ...

V. K. Makin; H. Branger; W. L. Peirson; J. P. Giovanangeli

2007-12-01T23:59:59.000Z

355

The relation between the statistics of open ocean currents and the temporal correlations of the wind  

E-Print Network (OSTI)

We study the statistics of wind-driven open ocean currents. Using the Ekman layer model for the integrated currents, we investigate, analytically and numerically, the relation between the wind distribution and its temporal correlations and the statistics of the open ocean currents. We find that temporally long-range correlated wind results in currents whose statistics is proportional to the wind-stress statistics. On the other hand, short-range correlated wind leads to Gaussian distributions of the current components, regardless of the stationary distribution of the winds, and therefore, to a Rayleigh distribution of the current amplitude if the wind stress is isotropic. An interesting result is the existence of an optimum in the amplitude of the ocean currents as a function of the correlation time of the wind stress. The results were validated using an oceanic general circulation model.

Bel, Golan

2013-01-01T23:59:59.000Z

356

An introduction to the small wind turbine project  

DOE Green Energy (OSTI)

Small wind turbines are typically used for the remote or rural areas of the world including: a village in Chile; a cabin dweller in the U.S.; a farmer who wants to water his crop; or a utility company that wants to use distributed generation to help defer building new transmission lines and distribution facilities. Small wind turbines can be used for powering communities, businesses, homes, and miscellaneous equipment to support unattended operation. This paper covers the U.S. Department of Energy/National Renewable Energy Laboratory Small Wind Turbine project, its specifications, its applications, the subcontractors and their small wind turbines concepts. 4 refs., 4 figs.

Forsyth, T.L.

1997-07-01T23:59:59.000Z

357

2009 Wind Technologies Market Report  

NLE Websites -- All DOE Office Websites (Extended Search)

PROGRAM 2 Presentation Overview * Introduction to 2009 edition of U.S. wind energy market report * Wind installation trends * Wind industry trends * Price, cost, and...

358

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

2010. SPP WITF Wind Integration Study. Little Rock,GE Energy. 2011a. Oahu Wind Integration Study Final Report.Corp. 2010. Eastern Wind Integration and Transmission Study.

Bolinger, Mark

2013-01-01T23:59:59.000Z

359

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

Prepared for the Utility Wind Integration Group. Arlington,Arizona Public Service Wind Integration Cost Impact Study.2010. SPP WITF Wind Integration Study. Little Rock,

Wiser, Ryan

2010-01-01T23:59:59.000Z

360

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

The wind energy integration, transmission, and policy2012, however, federal policy towards wind energy remainsin federal policy towards wind energy after 2012 places such

Wiser, Ryan

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

The wind energy integration, transmission, and policyPTC. Moreover, federal policy towards wind energy remainsand policy announcements demonstrate accelerated activity in the offshore wind energy

Wiser, Ryan

2010-01-01T23:59:59.000Z

362

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

performance, and price of wind energy, policy uncertainty –The wind energy integration, transmission, and policyand absent supportive policies for wind energy. That said,

Bolinger, Mark

2013-01-01T23:59:59.000Z

363

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

turbine prices. Installed project costs are found to exhibitpressure on total project costs and wind power prices. Windinstalled wind power project costs, wind turbine transaction

Wiser, Ryan

2012-01-01T23:59:59.000Z

364

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

downward pressure on project costs and wind power prices.installed wind power project costs, wind turbine transactionand uncertain offshore project costs, and public acceptance

Wiser, Ryan

2010-01-01T23:59:59.000Z

365

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

Prepared for the Utility Wind Integration Group. Arlington,Consult. 2010. International Wind Energy Development: WorldUBS Global I/O: Global Wind Sector. UBS Investment Research.

Wiser, Ryan

2010-01-01T23:59:59.000Z

366

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

2008. Washington, DC: American Wind Energy Association.American Wind Energy Association ( AWEA).2009b. AWEA Small Wind Turbine Global Market Study: Year

Bolinger, Mark

2010-01-01T23:59:59.000Z

367

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

and Minnesota (12%). Offshore Wind Power Project and Policythe emergence of an offshore wind power market still facesexists in developing offshore wind energy in several parts

Wiser, Ryan

2012-01-01T23:59:59.000Z

368

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

11 “advanced-stage” offshore wind project proposals totalingcontinued in 2008 (see Offshore Wind Development Activities,Market Report Offshore Wind Development Activities In

Bolinger, Mark

2010-01-01T23:59:59.000Z

369

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

natural gas prices), pushed wind energy to the top of (andperformance, and price of wind energy, policy uncertainty –cost, performance, and price of wind energy, some of these

Bolinger, Mark

2013-01-01T23:59:59.000Z

370

RI_50m_Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

UnitedStatesWindHighResolutionRhodeIslandWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of Rhode...

371

CT_50m_Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

UnitedStatesWindHighResolutionConnecticutWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of...

372

MA_50m_Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

UnitedStatesWindHighResolutionMassachusettsWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of...

373

VT_50m_Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

DataTechnologySpecificUnitedStatesWindHighResolutionVermontWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of Vermont...

374

NH_50m_Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

UnitedStatesWindHighResolutionNewHampshireWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of New...

375

IA_50m_Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

ISDataTechnologySpecificUnitedStatesWindHighResolutionIowaWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of Iowa at...

376

ME_50m_Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

SDataTechnologySpecificUnitedStatesWindHighResolutionMaineWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of Maine...

377

ga_50m_wind  

NLE Websites -- All DOE Office Websites (Extended Search)

DataTechnologySpecificUnitedStatesWindHighResolutionGeorgiaWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of Georgia...

378

ny_50m_wind  

NLE Websites -- All DOE Office Websites (Extended Search)

ataTechnologySpecificUnitedStatesWindHighResolutionNewYorkWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for New York at a 50...

379

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

federal and state incentives for wind energy deployment. Thefederal and state incentives for wind energy deployment.federal and state incentives for wind energy deployment in

Wiser, Ryan

2012-01-01T23:59:59.000Z

380

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

continued state and federal incentives for wind energy,continued state and federal incentives for wind energy,continued state and federal incentives for wind energy,

Bolinger, Mark

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

2008. Washington, DC: American Wind Energy Association.American Wind Energy Association ( AWEA). 2009b. AWEA SmallWashington, DC: American Wind Energy Association. Bolinger,

Bolinger, Mark

2010-01-01T23:59:59.000Z

382

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

2010. International Wind Energy Development: World MarketUniversity. American Wind Energy Association (AWEA). 2010a.Washington, DC: American Wind Energy Association. American

Wiser, Ryan

2010-01-01T23:59:59.000Z

383

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

2010. Status of Centralized Wind Power Forecasting in NorthInterconnection Policies and Wind Power: A Discussion ofs first utility-scale wind power project. Credit: Klaus

Wiser, Ryan

2010-01-01T23:59:59.000Z

384

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

The Effects of Integrating Wind Power on Transmission SystemInterconnection Policies and Wind Power: A Discussion ofof their database of wind power projects, and for providing

Bolinger, Mark

2010-01-01T23:59:59.000Z

385

DOE Science Showcase - Wind Power  

Office of Scientific and Technical Information (OSTI)

Power Testing and Data in General Wind and Turbine Dynamics Wind Stresses Control, the Power Grid, and the Grids Economics Environmental Effects Energy101: Wind Turbines...

386

Gary Wind Energy Project | Open Energy Information  

Open Energy Info (EERE)

Gary Wind Energy Project Gary Wind Energy Project Jump to: navigation, search Name Gary Wind Energy Project Facility Gary Wind Energy Project Sector Wind energy Facility Type Small Scale Wind Facility Status In Service Owner Energy Maintenance Services-Distributed Energy Services Developer Energy Maintenance Services-Distributed Energy Services Energy Purchaser Energy Maintenance Services-Distributed Energy Services Location Gary SD Coordinates 44.7906°, -96.4546° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.7906,"lon":-96.4546,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

387

Wind | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Wind Wind Wind America is home to one of the largest and fastest growing wind markets in the world. Watch the video to learn more about the latest trends in the U.S. wind power market and join us this Thursday, August 8 at 3 pm ET for a Google+ Hangout on wind energy in America. The United States is home to one of the largest and fastest growing wind markets in the world. To stay competitive in this sector, the Energy Department invests in wind projects, both on land and offshore, to advance technology innovations, create job opportunities and boost economic growth. Moving forward, the U.S. wind industry remains a critical part of the Energy Department's all-of-the-above energy strategy to cut carbon pollution, diversify our energy economy and bring the next-generation of

388

NREL: Wind Research - WindPACT  

NLE Websites -- All DOE Office Websites (Extended Search)

WindPACT WindPACT The Wind Partnerships for Advanced Component Technology (WindPACT) studies were conducted to assist industry by testing innovative components, such as advanced blades and drivetrains, to lower the cost of energy. Specific goals included: Foster technological advancements to reduce the cost of wind energy Determine probable size ranges of advanced utility-scale turbines over the next decade for U.S. application Evaluate advanced concepts that are necessary to achieve objectives of cost and size for future turbines Identify and solve technological hurdles that may block industry from taking advantage of promising technology Design, fabricate, and test selected advanced components to prove their viability Support wind industry through transfer of technology from

389

NREL: Education Programs - KidWind Project and Wind Education...  

NLE Websites -- All DOE Office Websites (Extended Search)

KidWind Project and Wind Education in the Classroom: Wind Powering America Lessons Learned July 1, 2013 Integrating wind energy curricula into the classroom can seem like a...

390

NREL: Wind Research - Landing a Job in the Wind Industry: Wind...  

NLE Websites -- All DOE Office Websites (Extended Search)

Landing a Job in the Wind Industry: Wind Powering America Lessons Learned January 28, 2013 Wind Powering America interviewed Marilla Lamb, a 2012 graduate of Northern Arizona...

391

NREL: Wind Research - Projects  

NLE Websites -- All DOE Office Websites (Extended Search)

Projects Projects NREL's wind energy research and development projects focus on reducing the cost of wind technology and expanding access to wind energy sites. Our specialized technical expertise, comprehensive design and analysis tools, and unique testing facilities help industry overcome challenges to bringing new wind technology to the marketplace. Some of these success stories are described in NREL's Wind R&D Success Stories. We also work closely with universities and other national laboratories supporting fundamental research in wind technologies, including aerodynamics, aeroacoustics, and material sciences essential in the development of new blade technologies and advanced controls, power electronics, and testing to further refine drivetrain topology.

392

Wind Power Career Chat  

DOE Green Energy (OSTI)

This document will teach students about careers in the wind energy industry. Wind energy, both land-based and offshore, is expected to provide thousands of new jobs in the next several decades. Wind energy companies are growing rapidly to meet America's demand for clean, renewable, and domestic energy. These companies need skilled professionals. Wind power careers will require educated people from a variety of areas. Trained and qualified workers manufacture, construct, operate, and manage wind energy facilities. The nation will also need skilled researchers, scientists, and engineers to plan and develop the next generation of wind energy technologies.

Not Available

2011-01-01T23:59:59.000Z

393

Wind power today  

DOE Green Energy (OSTI)

This publication highlights initiatives of the US DOE`s Wind Energy Program. 1997 yearly activities are also very briefly summarized. The first article describes a 6-megawatt wind power plant installed in Vermont. Another article summarizes technical advances in wind turbine technology, and describes next-generation utility and small wind turbines in the planning stages. A village power project in Alaska using three 50-kilowatt turbines is described. Very brief summaries of the Federal Wind Energy Program and the National Wind Technology Center are also included in the publication.

NONE

1998-04-01T23:59:59.000Z

394

Wind energy information guide  

DOE Green Energy (OSTI)

This book is divided into nine chapters. Chapters 1--8 provide background and annotated references on wind energy research, development, and commercialization. Chapter 9 lists additional sources of printed information and relevant organizations. Four indices provide alphabetical access to authors, organizations, computer models and design tools, and subjects. A list of abbreviations and acronyms is also included. Chapter topics include: introduction; economics of using wind energy; wind energy resources; wind turbine design, development, and testing; applications; environmental issues of wind power; institutional issues; and wind energy systems development.

NONE

1996-04-01T23:59:59.000Z

395

2008 Wind Energy Projects, Wind Powering America (Poster)  

SciTech Connect

The Wind Powering America program produces a poster at the end of every calendar year that depicts new U.S. wind energy projects. The 2008 poster includes the following projects: Stetson Wind Farm in Maine; Dutch Hill Wind Farm in New York; Grand Ridge Wind Energy Center in Illinois; Hooper Bay, Alaska; Forestburg, South Dakota; Elbow Creek Wind Project in Texas; Glacier Wind Farm in Montana; Wray, Colorado; Smoky Hills Wind Farm in Kansas; Forbes Park Wind Project in Massachusetts; Spanish Fork, Utah; Goodland Wind Farm in Indiana; and the Tatanka Wind Energy Project on the border of North Dakota and South Dakota.

2009-01-01T23:59:59.000Z

396

Wind Energy Resource Atlas of Southeast China (CD-ROM)  

DOE Green Energy (OSTI)

This wind energy resource atlas identifies the wind characteristics and distribution of the wind resource in two regions of southeast China. The first region is the coastal area stretching from northern Fujian south to eastern Guangdong and extending approximately 100 km inland. The second region is centered on the Poyang Lake area in northern Jiangxi. This region also includes parts of two other provinces-Anhui and Hubei-and extends from near Anqing in Anhui south to near Nanchang in Jiangxi. The detailed wind resource maps and other information contained in the atlas facilitate the identification of prospective areas for use of wind energy technologies, both for utility-scale power generation and off-grid wind energy applications. We created the high-resolution (1-km2) maps in 1998 using a computerized wind resource mapping system developed at the National Renewable Energy Laboratory (NREL). The mapping system uses software known as a Geographical Information System (GIS).

Elliott, D.; Schwartz, M.; Scott, G.; Haymes, S.; Heimiller, D.; George, R.

2002-11-01T23:59:59.000Z

397

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

Prepared for the Utility Wind Integration Group. Arlington,Wind Logics, Inc. 2004. Wind Integration Study—Final Report.EnerNex Corp. 2006. Wind Integration Study for Public

Bolinger, Mark

2010-01-01T23:59:59.000Z

398

Energy Basics: Wind Power Animation  

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

EERE: Energy Basics Wind Power Animation This animation discusses the advantages of wind power, the workings of a wind turbine, and wind resources in the United States. It also...

399

Wind Blog | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Wind Blog Wind Blog RSS September 26, 2013 Wind Farm Brings Clean, Affordable Energy to Alaskan Cooperative How can we make it easier for more communities to use wind power?...

400

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

growth in U.S. wind turbine manufacturing capability and the drop in wind power plantgrowth in U.S. wind turbine manufacturing capability and the drop in wind power plant

Wiser, Ryan

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Virtual Wind Speed Sensor for Wind Turbines Andrew Kusiak1  

E-Print Network (OSTI)

Virtual Wind Speed Sensor for Wind Turbines Andrew Kusiak1 ; Haiyang Zheng2 ; and Zijun Zhang3 Abstract: A data-driven approach for development of a virtual wind-speed sensor for wind turbines is presented. The virtual wind-speed sensor is built from historical wind-farm data by data-mining algorithms

Kusiak, Andrew

402

Management of Active Distribution Networks with High Penetration of Distributed Generation.  

E-Print Network (OSTI)

??The penetration of distributed generation and wind power in particular is expected to increase significantly over the coming years, and a huge shift in control,… (more)

Arram, Ahmed

2012-01-01T23:59:59.000Z

403

Advanced Distribution Monitoring  

Science Conference Proceedings (OSTI)

Advanced Distribution Automation (ADA) is a concept for a fully controllable and flexible distribution system that will facilitate the exchange of electrical energy AND information between participants and system components. Advances in the monitoring of system parameters like voltages, currents and breaker/switch positions as well as environmental variables like temperature and wind speed will be required in order to fully implement ADA. This report presents background information on distribution monito...

2005-12-05T23:59:59.000Z

404

Severe Convective Wind Environments  

Science Conference Proceedings (OSTI)

Nontornadic thunderstorm winds from long-lived, widespread convective windstorms can have a tremendous impact on human lives and property. To examine environments that support damaging wind producing convection, sounding parameters from Rapid ...

Evan L. Kuchera; Matthew D. Parker

2006-08-01T23:59:59.000Z

405

Greensburg Wind Farm  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

renewable energy and energy efficiency. * Kansas offers the third highest potential for wind energy in the U.S. * Thorough research conducted by NREL proved the viability of wind...

406

Wind Rose Bias Correction  

Science Conference Proceedings (OSTI)

Wind rose summaries, which provide a basis for understanding and evaluating the climatological behavior of local wind, have a directional bias if a conventional method is used in their generation. Three techniques used to remove this bias are ...

Scott Applequist

2012-07-01T23:59:59.000Z

407

NREL: Wind Research - Awards  

NLE Websites -- All DOE Office Websites (Extended Search)

Awards NREL has received many awards for its technical innovations in wind energy. In addition, the research conducted at the National Wind Technology Center (NWTC) at NREL has led...

408

Surface Wind Direction Variability  

Science Conference Proceedings (OSTI)

Common large shifts of wind direction in the weak-wind nocturnal boundary layer are poorly understood and are not adequately captured by numerical models and statistical parameterizations. The current study examines 15 datasets representing a ...

Larry Mahrt

2011-01-01T23:59:59.000Z

409

Energy Basics: Wind Turbines  

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

Photo of a crane lifting the blades onto a wind turbine that reads 'U.S. Department of Energy, NREL.' You can learn more about horizontal axis turbines from the EERE Wind Program's...

410

Wind Energy Technologies  

Science Conference Proceedings (OSTI)

... Avg Wind Speed 7.5 m/s 8.74 m/s GE 2.x turbine family ... 1 to 48 Hour Wind Forecasting ... Danish Transmission Grid w/ Interconnects & Offshore Sites ...

2012-08-31T23:59:59.000Z

411

Wind Energy Resources  

Energy.gov (U.S. Department of Energy (DOE))

Wind energy can be produced anywhere in the world where the wind blows with a strong and consistent force. Windier locations produce more energy, which lowers the cost of producing electricity....

412

Wind Energy Benefits  

DOE Green Energy (OSTI)

Wind energy provides many benefits, including economic and environmental. This two-sided fact sheet succinctly outlines the top ten wind energy benefits and is especially well suited for general audiences.

Not Available

2005-04-01T23:59:59.000Z

413

Wind Turbine Maintenance Guide  

Science Conference Proceedings (OSTI)

This guideline provides component-level information regarding the maintenance of major components associated with a wind turbine. It combines recommendations offered by major equipment manufacturers with lessons learned from owner/operators of wind turbine facilities.

2012-06-29T23:59:59.000Z

414

Stations in Special Wind Regions  

Science Conference Proceedings (OSTI)

Stations in Special Wind Regions. ... station_matrix_912850.xlsx (Excel file). [ SED Home | Extreme Winds Home | Previous | Next ] ...

2013-03-11T23:59:59.000Z

415

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

Acquisition CPV Wind Duke Energy Acquisition Tierra Energy,Allco Wind Energy Duke Energy Acquisition Catamount Veolia

Bolinger, Mark

2010-01-01T23:59:59.000Z

416

Wind Engineering Information at NIST  

Science Conference Proceedings (OSTI)

NIST Home > Wind Engineering Information at NIST. Wind Engineering Information at NIST. (the links below are a compilation ...

2010-09-23T23:59:59.000Z

417

New England Wind Forum: New England Wind Projects  

Wind Powering America (EERE)

Projects in New England Building Wind Energy in New England Wind Resource Wind Power Technology Economics Markets Siting Policy Technical Challenges Issues Small Wind Large Wind Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share New England Wind Projects This page shows the location of installed and planned New England wind projects. Find windfarms, community-scale wind projects, customer-sited wind projects, small wind projects, and offshore wind projects. Read more information about how to use the Google Map and how to add your wind project to the map. Text version New England Wind Energy Projects Connecticut, East Canaan Wind Connecticut, Klug Farm Connecticut, Phoenix Press Connecticut, Wind Colebrook (South and North)

418

NREL: Wind Research - National Wind Technology Center  

NLE Websites -- All DOE Office Websites (Extended Search)

Center Center The National Renewable Energy Laboratory's (NREL's) National Wind Technology Center (NWTC), located at the base of the foothills just south of Boulder, Colorado, is the nation's premier wind energy technology research facility. Built in 1993, the center provides an ideal environment for the development of advanced wind energy technologies. The goal of the research conducted at the center is to help industry reduce the cost of energy so that wind can compete with traditional energy sources, providing a clean, renewable alternative for our nation's energy needs. Research at the NWTC is organized under two main categories, Wind Technology Development and Testing and Operations. Illustration of the National Wind Technology Center's organization chart. Fort Felker is listed as the Center Director, with Mike Robinson, Deputy Center Director; Paul Veers, Chief Engineer, and Laura Davis and Dorothy Haldeman beneath him. The Associate Director position is empty. Beneath them is the Wind Technology Research and Development Group Manager, Mike Robinson; the Testing and Operations Group Manager, Dave Simms; and the Offshore Wind and Ocean Power Systems Acting Supervisor, Fort Felker.

419

Wind Powering America: Wind Energy Videos  

DOE Data Explorer (OSTI)

Wind Powering America is a nationwide initiative designed to increase the use of wind energy across the United States by working with regional stakeholders. A list of videos developed by and for the program includes interviews, short news clips, and documentary-like programs.

420

Wind powering America: Vermont  

DOE Green Energy (OSTI)

Wind resources in the state of Vermont show great potential for wind energy development according to the wind resource assessment conducted by the state, its utilities, and NREL. This fact sheet provides a brief description of the resource assessment and a link to the resulting wind resource map produced by NREL. The fact sheet also provides a description of the state's net metering program, its financial incentives, and green power programs as well as a list of contacts for more information.

NREL

2000-04-11T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Wind powering America: Colorado  

DOE Green Energy (OSTI)

This fact sheet contains information about green power programs in Colorado and a description of the Ponnequin Wind Farm.

O'Dell, K.

2000-04-03T23:59:59.000Z

422

Wind powering America: Kansas  

DOE Green Energy (OSTI)

Wind resources in the state of Kansas show great potential for wind energy development according to the wind resource assessment conducted by the Kansas Electric Utilities Research Program, UWIG, and DOE. This fact sheet provides a brief description of the resource assessment and description of the state's new educational wind kiosk as well as its green power program and financial incentives available for the development of renewable energy technologies. A list of contacts for more information is also included.

NREL

2000-04-11T23:59:59.000Z

423

Carroll County- Wind Ordinance  

Energy.gov (U.S. Department of Energy (DOE))

This ordinance sets forth regulations for the zoning, erection, and operation of small wind energy systems in Carroll County, Maryland.

424

Kent County- Wind Ordinance  

Energy.gov (U.S. Department of Energy (DOE))

This ordinance establishes provisions and standards for small wind energy systems in various zoning districts in Kent County, Maryland.

425

America's Booming Wind Industry  

Energy.gov (U.S. Department of Energy (DOE))

Sharing key findings from two new Energy Department reports that highlight the record growth of America's wind industry.

426

Distributed Wind Energy Association | Open Energy Information  

Open Energy Info (EERE)

Energy Association Energy Association Address PO Box 1861 Place Flagstaff, AZ Zip 86002 Phone number 928-255-0214 Website http://www.distributedwind.org Coordinates 35.1978341°, -111.6464261° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.1978341,"lon":-111.6464261,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

427

2008 Wind Technologies Market Report  

E-Print Network (OSTI)

1 2008 Wind Technologies Market Report Ryan Wiser and Mark Bolinger Lawrence Berkeley National.S. wind energy market report · Wind installation trends · Wind industry trends · Price, cost, and performance trends ­ Power sales prices ­ Installed wind project costs ­ Wind turbine transaction prices

428

Why do meteorologists use wind vanes? Wind vanes are used to determine the direction of the wind. Wind  

E-Print Network (OSTI)

Fun Facts Why do meteorologists use wind vanes? Wind vanes are used to determine the direction of the wind. Wind· vanes are also called weather vanes. What do wind vanes look like on a weather station? Wind vanes that are on weather stations look a lot like the one you· made! The biggest differences

Nebraska-Lincoln, University of

429

Wind Derivatives: Modeling and Pricing  

Science Conference Proceedings (OSTI)

Wind is considered to be a free, renewable and environmentally friendly source of energy. However, wind farms are exposed to excessive weather risk since the power production depends on the wind speed, the wind direction and the wind duration. This risk ... Keywords: Forecasting, Pricing, Wavelet networks, Weather derivatives, Wind derivatives

A. Alexandridis; A. Zapranis

2013-03-01T23:59:59.000Z

430

A Horizontal Wind and Wind Confidence Algorithm for Doppler Wind Profilers  

Science Conference Proceedings (OSTI)

Boundary layer wind profilers are increasingly being used in applications that require high-quality, rapidly updated winds. An example of this type of application is an airport wind hazard warning system. Wind shear can be a hazard to flight ...

Robert K. Goodrich; Corrinne S. Morse; Larry B. Cornman; Stephen A. Cohn

2002-03-01T23:59:59.000Z

431

NREL: Wind Research - KidWind Project and Wind Education in the...  

NLE Websites -- All DOE Office Websites (Extended Search)

KidWind Project and Wind Education in the Classroom: Wind Powering America Lessons Learned July 1, 2013 Integrating wind energy curricula into the classroom can seem like a...

432

Wind: wind speed and wind power density GIS data at 10m and 50m...  

Open Energy Info (EERE)

data files of wind speed and wind power density at 10 and 50 m heights. Global data of offshore wind resource as generated by NASA's QuikScat SeaWinds scatterometer.

...

433

Wind: wind speed and wind power density maps at 10m and 50m above...  

Open Energy Info (EERE)

data files of wind speed and wind power density at 10 and 50 m heights. Global data of offshore wind resource as generated by NASA's QuikSCAT SeaWinds scatterometer.

...

434

Wind Power in Paradise  

Science Conference Proceedings (OSTI)

The paper discusses how an international team of engineers brought wind power to the Galapagos Islands. The san cristobal system is a wind-diesel hybrid. The electricity generated by the wind turbines and by three diesel generators converges at the substation ...

E. Guizzo

2008-03-01T23:59:59.000Z

435

Wind power outlook 2006  

DOE Green Energy (OSTI)

This annual brochure provides the American Wind Energy Association's up-to-date assessment of the wind industry in the United States. This 2006 general assessment shows positive signs of growth, use and acceptance of wind energy as a vital component of the U.S. energy mix.

anon.

2006-04-15T23:59:59.000Z

436

Wind Economic Development (Postcard)  

DOE Green Energy (OSTI)

The U.S. Department of Energy's Wind Powering America initiative provides information on the economic development benefits of wind energy. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to the economic development benefits section on the Wind Powering America website.

Not Available

2011-08-01T23:59:59.000Z

437

Gridded state maps of wind electric potential  

DOE Green Energy (OSTI)

Estimates of wind electric potential and available windy land area in the contiguous United States, calculated in 1991, have been revised by incorporating actual data on the distribution of environmental exclusion areas where wind energy development would be prohibited or severely restricted. The new gridded data base with actual environmental exclusion areas, in combination with a 'moderate' land-use scenario, is the basis for developing the first gridded maps of available windy land and wind electric potential. Gridded maps for the 48 contiguous states show the estimated windy land area and electric potential for each grid cell (1/40 latitude by 1/30 longitude). These new maps show the distribution of the estimated wind electric potential and available windy land within an individual state, unlike previous national maps that only show estimates of the total wind electric potential for the state as a whole. While changes for some individual states are fairly large (in percentage), on a national basis, the estimated windy land area and wind electric potential are only about 1% to 2% higher than estimated in 1991.

Schwartz, M.N.; Elliott, D.L.; Gower, G.L.

1992-10-01T23:59:59.000Z

438

Powering up with space-time wind forecasting  

E-Print Network (OSTI)

The technology to harvest electricity from wind energy is now advanced enough to make entire cities powered by it a reality. High-quality short-term forecasts of wind speed are vital to making this a more reliable energy source. Gneiting et al. (2006) have introduced a model for the average wind speed two hours ahead based on both spatial and temporal information. The forecasts produced by this model are accurate, and subject to accuracy, the predictive distribution is sharp, i.e., highly concentrated around its center. However, this model is split into nonunique regimes based on the wind direction at an off-site location. This paper both generalizes and improves upon this model by treating wind direction as a circular variable and including it in the model. It is robust in many experiments, such as predicting at new locations. We compare this with the more common approach of modeling wind speeds and directions in the Cartesian space and use a skew-t distribution for the errors. The quality of the predictions from all of these models can be more realistically assessed with a loss measure that depends upon the power curve relating wind speed to power output. This proposed loss measure yields more insight into the true value of each model’s predictions. Some key words: Circular variable, power curve, skew-t distribution, wind direction, wind speed.

A S. Hering; Marc G. Genton

2009-01-01T23:59:59.000Z

439

Wind energy | Open Energy Information  

Open Energy Info (EERE)

(Redirected from Wind) (Redirected from Wind) Jump to: navigation, search Wind energy is a form of solar energy.[1] Wind energy (or wind power) describes the process by which wind is used to generate electricity. Wind turbines convert the kinetic energy in the wind into mechanical power. A generator can convert mechanical power into electricity[2]. Mechanical power can also be utilized directly for specific tasks such as pumping water. The US DOE developed a short wind power animation that provides an overview of how a wind turbine works and describes the wind resources in the United States. Contents 1 Wind Energy Basics 1.1 Equation for Wind Power 2 DOE Wind Programs and Information 3 Worldwide Installed Capacity 3.1 United States Installed Capacity 4 Wind Farm Development 4.1 Land Requirements

440

NREL: Wind Research - Field Verification Project  

NLE Websites -- All DOE Office Websites (Extended Search)

Field Verification Project Field Verification Project The mission of the Field Verification Project (FVP) was to enable U.S. industry to complete the research, testing, and field verification needed to fully develop advanced wind energy technologies that lead the world in cost-effectiveness and reliability. The project, completed in 2003, included cost-shared research with industry partners to lead to the development of advanced technology wind turbines and support for projects that verify performance of wind turbine technologies in actual operational applications. FVP provided small wind turbine (<=100 kW) manufacturers with opportunities to operate and monitor their turbines under a range of distributed power applications and environments throughout the United States. This experience helped U.S. companies validate and improve the

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Dimensioning and operating wind-hydrogen plants in power markets  

Science Conference Proceedings (OSTI)

This paper presents a two-step method for dimensioning and time-sequential operation of Wind-hydrogen (H2) plants operating in power markets. Step 1 involves identification of grid constraints and marginal power losses through load flow simulations. ... Keywords: distributed generation, hydrogen, quadratic optimization, renewable energy, weak grids, wind power

Christopher J. Greiner; Magnus Korpĺs; Terje Gjengedal

2008-07-01T23:59:59.000Z

442

Situational Awareness for Wind and Solar Power Monitoring  

Science Conference Proceedings (OSTI)

As the electric power industry advances toward the concept of a renewable energy-friendly smart grid, understanding the complications and challenges of wind and solar generation on transmission and distribution (T&D) operations becomes increasingly important. This report describes research on information display requirements for wind and solar power monitoring visualization tools.

2009-12-08T23:59:59.000Z

443

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 in Electric Grids Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy for aggregated wind farms are often modeled with Gaussian distributions. However, data from several studies have

444

Wind energy applications guide  

DOE Green Energy (OSTI)

The brochure is an introduction to various wind power applications for locations with underdeveloped transmission systems, from remote water pumping to village electrification. It includes an introductory section on wind energy, including wind power basics and system components and then provides examples of applications, including water pumping, stand-alone systems for home and business, systems for community centers, schools, and health clinics, and examples in the industrial area. There is also a page of contacts, plus two specific example applications for a wind-diesel system for a remote station in Antarctica and one on wind-diesel village electrification in Russia.

anon.

2001-01-01T23:59:59.000Z

445

Wind energy information directory  

DOE Green Energy (OSTI)

Wind Energy Information has been prepared to provide researchers, designers, manufacturers, distributors, dealers, and users of wind energy conversion systems with easy access to technical information. This directory lists organizations and publications which have the main objective of promoting the use of wind energy conversion systems, some organizations that can respond to requests for information on wind energy or make referrals to other sources of information, and some publications that occasionally include information on wind energy. The bibliography contains references to information for both the neophyte and the expert.

None

1979-10-01T23:59:59.000Z

446

Prairie Winds Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Prairie Winds Wind Farm Prairie Winds Wind Farm Facility Prairie Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Basin Electric Power Coop/Central Power Electric Coop Developer Basin Electric Power Coop/Central Power Electric Coop Energy Purchaser Basin Electric Power Coop/Central Power Electric Coop Location Near Minot ND Coordinates 48.022927°, -101.291435° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.022927,"lon":-101.291435,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

447

Simulation of wind-speed time series for wind-energy conversion analysis.  

DOE Green Energy (OSTI)

In order to investigate operating characteristics of a wind energy conversion system it is often desirable to have a sequential record of wind speeds. Sometimes a long enough actual data record is not available at the time an analysis is needed. This may be the case if, e.g., data are recorded three times a day at a candidate wind turbine site, and then the hourly performance of generated power is desired. In such cases it is often possible to use statistical characteristics of the wind speed data to calibrate a stochastic model and then generate a simulated wind speed time series. Any length of record may be simulated by this method, and desired system characteristics may be studied. A simple wind speed simulation model, WEISIM, is developed based on the Weibull probability distribution for wind speeds with a correction based on the lag-one autocorrelation value. The model can simulate at rates from one a second to one an hour, and wind speeds can represent short-term averages (e.g., 1-sec averages) or longer-term averages (e.g., 1-min or 1 hr averages). The validity of the model is verified with PNL data for both histogram characteristics and persistance characteristics.

Corotis, R.B.

1982-06-01T23:59:59.000Z

448

Aleutian Pribilof Islands Wind Energy Feasibility Study  

DOE Green Energy (OSTI)

Under this project, the Aleutian Pribilof Islands Association (APIA) conducted wind feasibility studies for Adak, False Pass, Nikolski, Sand Point and St. George. The DOE funds were also be used to continue APIA's role as project coordinator, to expand the communication network quality between all participants and with other wind interest groups in the state and to provide continued education and training opportunities for regional participants. This DOE project began 09/01/2005. We completed the economic and technical feasibility studies for Adak. These were funded by the Alaska Energy Authority. Both wind and hydro appear to be viable renewable energy options for Adak. In False Pass the wind resource is generally good but the site has high turbulence. This would require special care with turbine selection and operations. False Pass may be more suitable for a tidal project. APIA is funded to complete a False Pass tidal feasibility study in 2012. Nikolski has superb potential for wind power development with Class 7 wind power density, moderate wind shear, bi-directional winds and low turbulence. APIA secured nearly $1M from the United States Department of Agriculture Rural Utilities Service Assistance to Rural Communities with Extremely High Energy Costs to install a 65kW wind turbine. The measured average power density and wind speed at Sand Point measured at 20m (66ft), are 424 W/m2 and 6.7 m/s (14.9 mph) respectively. Two 500kW Vestas turbines were installed and when fully integrated in 2012 are expected to provide a cost effective and clean source of electricity, reduce overall diesel fuel consumption estimated at 130,000 gallons/year and decrease air emissions associated with the consumption of diesel fuel. St. George Island has a Class 7 wind resource, which is superior for wind power development. The current strategy, led by Alaska Energy Authority, is to upgrade the St. George electrical distribution system and power plant. Avian studies in Nikolski and Sand Point have allowed for proper wind turbine siting without killing birds, especially endangered species and bald eagles. APIA continues coordinating and looking for funding opportunities for regional renewable energy projects. An important goal for APIA has been, and will continue to be, to involve community members with renewable energy projects and energy conservation efforts.

Bruce A. Wright

2012-03-27T23:59:59.000Z

449

NREL: Wind Research - Publications  

NLE Websites -- All DOE Office Websites (Extended Search)

Publications Publications The NREL wind research program develops publications about its R&D activities in wind energy technologies. Below you'll find links to recently published publications, links to the NREL Avian Literature and Publications Databases, and information about the Technical Library at the National Wind Technology Center (NWTC). The NWTC's quarterly newsletter, @NWTC, contains articles on current wind energy research projects and highlights the latest reports, papers, articles, and events published or sponsored by NREL. Subscribe to @NWTC. Selected Publications Featured Publication Large-scale Offshore Wind Power in the United States: Assessment of Opportunities and Barriers Here are some selected NWTC publications: 2011 Cost of Wind Energy Review Built-Environment Wind Turbine Roadmap

450

Energy in the Wind  

NLE Websites -- All DOE Office Websites (Extended Search)

Provi and BP Energy in the Wind - Exploring Basic Electrical Concepts by Modeling Wind Turbines Curriculum: Wind Power (simple machines, aerodynamics, weather/climatology, leverage, mechanics, atmospheric pressure, and energy resources/transformations) Grade Level: High School Small groups: 2 students Time: Introductory packet will take 2-3 periods. Scientific investigation will take 2-3 periods. (45-50 minute periods) Summary: Students explore basic electrical concepts. Students are introduced to electrical concepts by using a hand held generator utilizing a multimeter, modeling, and designing a wind turbine in a wind tunnel (modifications are given if a wind tunnel is not available). Students investigate how wind nergy is used as a renewable energy resource. e

451

Wind energy conversion system  

DOE Patents (OSTI)

The wind energy conversion system includes a wind machine having a propeller connected to a generator of electric power, the propeller rotating the generator in response to force of an incident wind. The generator converts the power of the wind to electric power for use by an electric load. Circuitry for varying the duty factor of the generator output power is connected between the generator and the load to thereby alter a loading of the generator and the propeller by the electric load. Wind speed is sensed electro-optically to provide data of wind speed upwind of the propeller, to thereby permit tip speed ratio circuitry to operate the power control circuitry and thereby optimize the tip speed ratio by varying the loading of the propeller. Accordingly, the efficiency of the wind energy conversion system is maximized.

Longrigg, Paul (Golden, CO)

1987-01-01T23:59:59.000Z

452

Community wind power ownership schemes in Europe and their relevance to the United States  

E-Print Network (OSTI)

wind energy (NATTA 1999). 2.4.1.4 Fewer Permitting Denials Because they benefitwind energy to levels seen in Denmark, Germany, and Sweden. Realized distributed generation benefits:

Bolinger, Mark

2001-01-01T23:59:59.000Z

453

Wind Energy and Production of Hydrogen and Electricity -- Opportunities for Renewable Hydrogen: Preprint  

DOE Green Energy (OSTI)

An assessment of options for wind/hydrogen/electricity systems at both central and distributed scales provides insight into opportunities for renewable hydrogen.

Levene, J.; Kroposki, B.; Sverdrup, G.

2006-03-01T23:59:59.000Z

454

DOE Science Showcase - Wind Power  

Office of Scientific and Technical Information (OSTI)

DOE Science Showcase - Wind Power DOE Science Showcase - Wind Power Wind Powering America Wind Powering America is a nationwide initiative of the U.S. Department of Energy's Wind Program designed to educate, engage, and enable critical stakeholders to make informed decisions about how wind energy contributes to the U.S. electricity supply. Wind Power Research Results in DOE Databases IEA Wind Task 26: The Past and Future Cost of Wind Energy, Work Package 2, Energy Citations Database NREL Triples Previous Estimates of U.S. Wind Power Potential, Energy Citations Database Dynamic Models for Wind Turbines and Wind Power Plants, DOE Information Bridge 2012 ARPA-E Energy Innovation Summit: Profiling General Compression: A River of Wind, ScienceCinema, multimedia Solar and Wind Energy Resource Assessment (SWERA) Data from the

455

San Diego County - Wind Regulations (California) | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Wind Regulations (California) San Diego County - Wind Regulations (California) < Back Eligibility Commercial Industrial Residential Savings Category Wind Buying & Making...

456

Impact of wind generators on the stability of power system network  

Science Conference Proceedings (OSTI)

This paper investigates the impacts of wind generators on the transient stability of a small power system. Two types of wind generators are considered, a fixed speed and variable speed induction generators. The behavior of synchronous generator's rotor ... Keywords: distributed generators, fixed and variable speed wind generators, transient stability

K. A. Folly; K. Tjiuma

2007-05-01T23:59:59.000Z

457

Lessons Learned at the Iowa and Nebraska Public Power Wind Projects: U.S. Department of Energy - EPRI Wind Turbine Verification Prog ram, American Public Power Association DEED Program  

Science Conference Proceedings (OSTI)

This report describes lessons learned during project development and initial operation of three wind projects owned by public utilities in Iowa and Nebraska. Two are distributed wind generation projects installed in the fall of 1998 as part of the U.S. Department of Energy - EPRI Wind Turbine Verification Program (TVP) in Algona, Iowa, and Springview, Nebraska. The third is Waverly Light and Power's (WLP) Wind Energy Deployment Project installed in early 1999 as part of the 259-turbine Storm Lake Wind Po...

2000-11-30T23:59:59.000Z

458

Correlation-Based Interpolation of NSCAT Wind Data  

Science Conference Proceedings (OSTI)

Daily NASA Scatterometer (NSCAT) wind estimates cover about 75% of the globe. The remaining data gaps, which require interpolation, are regularly distributed in space and time. The development of this interpolation algorithm was guided by a ...

Paulo S. Polito; W. Timothy Liu; Wenqing Tang

2000-08-01T23:59:59.000Z

459

Trade Wind Rainfall near the Windward Coast of Hawaii  

Science Conference Proceedings (OSTI)

A dynamically based mesoscale climatology of rainfall and other data are examined for typical trade wind conditions near Hawaii. Relative distributions of rainfall are deduced from radar reflectivity data for a 4000 km2 region over the windward ...

R. E. Carbone; J. D. Tuttle; W. A. Cooper; V. Grubiši?; W. C. Lee

1998-11-01T23:59:59.000Z

460

Did the Beaufort Scale or the Wind Climate Change?  

Science Conference Proceedings (OSTI)

Possible long-term variations of the Beaufort scale of wind speeds are investigated from frequency distributions of about 300 000 ship observations. Records from the western entrance to the English Channel are taken as representative for ...

E. W. Peterson; L. Hasse

1987-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Effect of Reduced Diffusion on Surface Wind and Wave Fields  

Science Conference Proceedings (OSTI)

Horizontal diffusion is used in meteorological models to reduce noise in the shorter spatial scales and to increase numerical stability. In turn, this affects the surface wind distribution. A series of tests on real situations in the ...

Luigi Cavaleri; Luciana Bertotti; Mariano Hortal; Martin Miller

1997-11-01T23:59:59.000Z

462

Climatology of High Wind Events in the Owens Valley, California  

Science Conference Proceedings (OSTI)

The climatology of high wind events in the Owens Valley, California, a deep valley located just east of the southern Sierra Nevada, is described using data from six automated weather stations distributed along the valley axis in combination with ...

Shiyuan Zhong; Ju Li; C. David Whiteman; Xindi Bian; Wenqing Yao

2008-09-01T23:59:59.000Z

463

Commonwealth Wind Incentive Program - Micro Wind Initiative...  

Open Energy Info (EERE)

Clean Energy Analysis Low Emission Development Strategies Oil & Gas Smart Grid Solar U.S. OpenLabs Utilities Water Wind Page Actions View form View source History View...

464

New England Wind Forum: Buying Wind Power  

Wind Powering America (EERE)

Buying Wind Power Buying Wind Power On this page find information about: Green Marketing Renewable Energy Certificates Green Pricing Green Marketing Green power marketing refers to selling green power in the competitive marketplace, in which multiple suppliers and service offerings exist. In states that have established retail competition, customers may be able to purchase green power from a competitive supplier. Connecticut Connecticut Clean Energy Options Beginning in April 2005, Connecticut's two investor-owned utilities, Connecticut Light and Power and United Illuminating, began to offer a simple, affordable program to their customers for purchasing clean energy such as wind power. In late 2006, stakeholders started to explore a new offering that would convey the price stability of wind energy (and other renewable energy resources) to Connecticut consumers. This new offering is still under development.

465

Commonwealth Wind Commercial Wind Program (Massachusetts) | Open...  

Open Energy Info (EERE)

Development Strategies Oil & Gas Smart Grid Solar U.S. OpenLabs Utilities Water Wind Page Actions View form View source History View New Pages Recent Changes All Special...

466

Energy Basics: Wind Power Animation (Text Version)  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Solar Wind Wind Turbines Wind Resources Wind Power...

467

Blyth Offshore Wind Ltd | Open Energy Information  

Open Energy Info (EERE)

Blyth Offshore Wind Ltd Jump to: navigation, search Name Blyth Offshore Wind Ltd Place United Kingdom Sector Renewable Energy, Wind energy Product Blyth Offshore Wind Limited,...

468

Wave Wind LLC | Open Energy Information  

Open Energy Info (EERE)

Wave Wind LLC Place Sun Prairie, Wisconsin Zip 53590 Sector Services, Wind energy Product Wisconsin-based wind developer and construction services provider. References Wave Wind...

469

Han Wind Energy Corporation | Open Energy Information  

Open Energy Info (EERE)

Han Wind Energy Corporation Jump to: navigation, search Name Han Wind Energy Corporation Place Beijing, Beijing Municipality, China Zip 100027 Sector Wind energy Product Han Wind...

470

Heilongjiang Lishu Wind Power | Open Energy Information  

Open Energy Info (EERE)

Lishu Wind Power Jump to: navigation, search Name Heilongjiang Lishu Wind Power Place Heilongjiang Province, China Sector Wind energy Product China-based wind project developer...

471

Crownbutte Wind Power LLC | Open Energy Information  

Open Energy Info (EERE)

Crownbutte Wind Power LLC Jump to: navigation, search Name Crownbutte Wind Power LLC Place Mandan, North Dakota Zip 58554 Sector Wind energy Product North Dakota wind power company...

472

Daqing Longjiang Wind Power | Open Energy Information  

Open Energy Info (EERE)

Longjiang Wind Power Jump to: navigation, search Name Daqing Longjiang Wind Power Place Daqing, Heilongjiang Province, China Zip 163316 Sector Wind energy Product Local wind...

473

Gansu Xinhui Wind Power | Open Energy Information  

Open Energy Info (EERE)

Xinhui Wind Power Jump to: navigation, search Name Gansu Xinhui Wind Power Place China Sector Wind energy Product China-based joint venture engaged in developing wind projects....

474

German Wind Energy Association | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Association Place Osnabrck, Germany Zip 49074 Sector Wind energy Product Assocation for the promotion of wind energy in Germany. References German Wind Energy...

475

Assessment of Offshore Wind Energy Potential in the United States (Poster)  

DOE Green Energy (OSTI)

The development of an offshore wind resource database is one of the first steps necessary to understand the magnitude of the resource and to plan the distribution and development of future offshore wind power facilities. The U.S. Department of Energy supported the production of offshore wind resource maps and potential estimates for much of the United States. This presentation discusses NREL's 2010 offshore wind resources report; current U.S., regional, and state offshore maps; methodology for the wind mapping and validation; wind potential estimates; the Geographic Information Systems database; and future work and conclusions.

Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Musial, W.

2011-05-01T23:59:59.000Z

476

Candidate wind turbine generator site: annual data summary, January 1981-December 1981  

DOE Green Energy (OSTI)

Summarized hourly meteorological data for 34 candidate and wind turbine generator sites for calendar year 1981 are presented. These data are collected for the purpose of evaluating the wind energy potential at these sites and are used to assist in selection of potential sites for installation and testing of large wind turbines in electric utility systems. For each site, wind speed, direction, and distribution data are given in eight tables. Use of information from these tables, with information about specific wind turbines, should allow the user to estimate the potential for wind energy production at each site.

Sandusky, W.F.; Buck, J.W.; Renne, D.S.; Hadley, D.L.; Abbey, O.B.

1982-07-01T23:59:59.000Z

477

Measurement of Wind Waves and Wave-Coherent Air Pressures on the Open Sea from a Moving SWATH Vessel  

Science Conference Proceedings (OSTI)

The design and implementation on a Small Waterline Area Twin Hull (SWATH) vessel of a complete system for measuring the directional distribution of wind waves and the concomitant fluctuations of air pressure and wind speed immediately above them ...

Mark A. Donelan; Fred W. Dobson; Hans C. Graber; Niels Madsen; Cyril McCormick

2005-07-01T23:59:59.000Z

478

Modeling of Plume Downwash and Enhanced Diffusion near Buildings: Comparison to Wind Tunnel Observations for in Arctic Industrial Site  

Science Conference Proceedings (OSTI)

The ability of a modified Industrial Source Complex model to simulate concentration distributions resulting from high wind speeds (neutral conditions) has been evaluated by comparison to data from a wind tunnel study of a Prudhoe Bay, AK oil-...

Alex Guenther; Brian Lamb; Ronald Petersen

1989-05-01T23:59:59.000Z

479

New England Wind Forum: Selling Wind Power  

Wind Powering America (EERE)

Selling Wind Power Selling Wind Power Markets are either well-developed or developing for each of the 'products' produced by wind generators. These include electricity products and generation attributes. Electricity Electricity can be used in two ways: on-site (interconnected behind a retail customer's meter) of for sales of electricity over the electric grid. On-site generation can displace a portion of a customer's purchases of electricity from the grid. In addition, net metering rules are in place at the state level that in some cases allow generation in excess of on-site load to be sold back to the local utility (see state pages for net metering specifics). For sales over the electricity grid, the Independent System Operator of New England (ISO New England) creates and manages a wholesale market for electric energy, capacity, and ancillary services within the New England Power Pool (NEPOOL). Wind generators may sell their electric energy and capacity in spot markets organized by the ISO, or they may contract with wholesale buyers to sell these products for any term to buyers operating in the ISO New England marketplace. Wind generators do not generally produce other marketable ancillary services. The ISO has rules specific to the operation of wind generators reflecting operations, scheduling, calculation of installed capacity credit, and so forth.

480

Stakeholder Engagement and Outreach: Wind Power on Public Lands  

Wind Powering America (EERE)

Resources Public Power Regional Activities State Activities State Lands Siting Wind Power on Public Lands Through its programs at the National Renewable Energy Laboratory (NREL) and partners, Wind Powering America is assisting with the evaluation of wind energy development on public lands. The cover of the publication. Federal Wind Energy Assistance through NREL The National Renewable Energy Laboratory assists with wind resource assessment and development activities initiated by federal agencies to facilitate distributed renewable energy projects at federal agency sites. This brief outlines the process for requesting National Renewable Energy Laboratory assistance with federal wind energy projects. Army National Guard NREL provided the Army National Guard at Fort Carson, Colorado, with a 50-m

Note: This page contains sample records for the topic "distributed wind trudy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Solar and Wind Contractor Licensing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Solar and Wind Contractor Licensing Solar and Wind Contractor Licensing Solar and Wind Contractor Licensing < Back Eligibility Installer/Contractor Savings Category Heating & Cooling Commercial Heating & Cooling Solar Heating Buying & Making Electricity Water Heating Wind Program Info State Connecticut Program Type Solar/Wind Contractor Licensing Provider Connecticut Department of Consumer Protection The Connecticut Department of Consumer Protection (DCP) is authorized to issue licenses for solar-thermal work, solar-electric work and wind-electric work. "Solar thermal work" is defined as "the installation, erection, repair, replacement, alteration, or maintenance of active, passive and hybrid solar systems that directly convert ambient energy into heat or convey, store or distribute such ambient energy." Solar electricity

482

Orange County - Wind Permitting Standards | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Orange County - Wind Permitting Standards Orange County - Wind Permitting Standards Orange County - Wind Permitting Standards < Back Eligibility Agricultural Commercial Residential Savings Category Wind Buying & Making Electricity Program Info State California Program Type Solar/Wind Permitting Standards Provider OC Planning In December 2010, the County of Orange Board of Supervisors adopted small wind performance and development standards (Ord. No. 10-020) in order to promote distributed generation systems in non-urbanized areas (as defined in Government Code Section 65944(d)(2)) within the unincorporated territory. Permitting standards are for systems of 50 kW or less per customer site, for which the energy is primarily for on-site consumption. Height: For systems 45 feet tall or less, a use permit must be approved by

483

Wind Power | Open Energy Information  

Open Energy Info (EERE)

Wind Power Wind Power Jump to: navigation, search Wind Power WIndfarm.Sunset.jpg Wind power is a form of solar energy.[1] Wind is caused by the uneven heating of the atmosphere by the sun, variations in the earth's surface, and rotation of the earth. Mountains, bodies of water, and vegetation all influence wind flow patterns[2], [3]. Wind energy (or wind power) describes the process by which wind is used to generate electricity. Wind turbines convert the energy in wind to electricity by rotating propeller-like blades around a rotor. The rotor turns the drive shaft, which turns an electric generator.[2] Three key factors affect the amount of energy a turbine can harness from the wind: wind speed, air density, and swept area.[4] Mechanical power can also be utilized directly for specific tasks such as

484

NREL: Wind Research - News  

NLE Websites -- All DOE Office Websites (Extended Search)

Below are some select news stories from the National Wind Technology Below are some select news stories from the National Wind Technology Center. Subscribe to the RSS feed RSS . Learn about RSS. January 3, 2014 New Modularization Framework Transforms FAST Wind Turbine Modeling Tool The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) recently released an expanded version of its FAST wind turbine computer-aided engineering tool under a new modularization framework. January 2, 2014 The Denver Post Highlights the NWTC's New 5-MW Dynamometer On January 2, a reporter from The Denver Post toured the new 5-megawatt dynamometer test facility at the National Wind Technology Center (NWTC). Archives 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 Printable Version Wind Research Home Capabilities Projects Facilities

485

Wind Turbines and Health  

E-Print Network (OSTI)

Wind power has been gaining prominence as a viable sustainable alternative to other forms of energy production. Studies have found that there is increasing population demand for ‘green’ energy 1,2. In Australia, this has been encouraged by the introduction of the Renewable Energy (Electricity) Act in 2000 and the Renewable Energy Target Scheme in 2009. As with any new technology, wind turbines are not without controversy. Those who oppose the development of wind farms contend that wind turbines can adversely impact the health of individuals living in close proximity. Do wind turbines impact on health? Concerns regarding the adverse health impacts of wind turbines focus on infrasound noise, electromagnetic interference, shadow flicker and blade glint produced

unknown authors

2010-01-01T23:59:59.000Z

486

Wind Turbines and Health  

E-Print Network (OSTI)

Wind power has been gaining prominence as a viable sustainable alternative to other forms of energy production. Studies have found that there is increasing population demand for ‘green’ energy1,2. In Australia, this has been encouraged by the introduction of the Renewable Energy (Electricity) Act in 2000 and the Renewable Energy Target Scheme in 2009. As with any new technology, wind turbines are not without controversy. Those who oppose the development of wind farms contend that wind turbines can adversely impact the health of individuals living in close proximity. Do wind turbines impact on health? Concerns regarding the adverse health impacts of wind turbines focus on infrasound noise, electromagnetic interference, shadow flicker and blade glint produced

unknown authors

2010-01-01T23:59:59.000Z

487

Session: Offshore wind  

DOE Green Energy (OSTI)

This session at the Wind Energy and Birds/Bats workshop consisted of two presentations. Due to time constraints, a discussion period was not possible. The session addressed the current state of offshore wind energy development. The first presentation ''Monitoring Program and Results: Horns Rev and Nysted'' by Jette Gaarde summarized selected environmental studies conducted to date at operating offshore wind turbine projects in Denmark and lessons from other offshore wind developments in Europe. Wildlife impacts studies from the Danish sites focused on birds, fish, and mammals. The second presentation ''What has the U.S. Wind Industry Learned from the European Example'' by Bonnie Ram provided an update on current permit applications for offshore wind developments in the U.S. as well as lessons that may be drawn from the European experience.

Gaarde, Jette; Ram, Bonnie

2004-09-01T23:59:59.000Z

488

Session: Offshore wind  

SciTech Connect

This session at the Wind Energy and Birds/Bats workshop consisted of two presentations. Due to time constraints, a discussion period was not possible. The session addressed the current state of offshore wind energy development. The first presentation ''Monitoring Program and Results: Horns Rev and Nysted'' by Jette Gaarde summarized selected environmental studies conducted to date at operating offshore wind turbine projects in Denmark and lessons from other offshore wind developments in Europe. Wildlife impacts studies from the Danish sites focused on birds, fish, and mammals. The second presentation ''What has the U.S. Wind Industry Learned from the European Example'' by Bonnie Ram provided an update on current permit applications for offshore wind developments in the U.S. as well as lessons that may be drawn from the European experience.

Gaarde, Jette; Ram, Bonnie

2004-09-01T23:59:59.000Z

489

Wind Engineering & Natural Disaster Mitigation  

E-Print Network (OSTI)

Wind Engineering & Natural Disaster Mitigation For more than 45 years, Western University has been internationally recognized as the leading university for wind engineering and wind- related research. Its of environmental disaster mitigation, with specific strengths in wind and earthquake research. Boundary Layer Wind

Sinnamon, Gordon J.

490

Geographic Information Systems in Support of Wind Energy Activities at NREL: Preprint  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) uses Geographic Information Systems (GIS) to further the development of wind energy resources in support of the U.S. Department of Energy (DOE) Wind Energy Program and its Wind Powering America Initiative. Some of the elements of NREL's GIS data used in wind energy activities include wind measurement sites, transmission lines, federal facility information, and modeled wind resources. More complex GIS analyses can define relationships among the mapped wind energy resources, potential energy load characterization, and utility integration problems. A GIS is an outstanding tool for wind energy activities because data can be readily updated and the results of the GIS analyses can be expressed as charts, tables, and maps. These outputs are in digital formats that allow the results of GIS analyses to be quickly and efficiently distributed to the wind energy industry.

Heimiller, D. M.; Haymes, S. R.

2001-09-18T23:59:59.000Z

491

Wind Farm Diversification and Its Impact on Power System Reliability  

E-Print Network (OSTI)

As wind exploitation gains prominence in the power industry, the extensive use of this intermittent source of power may heavily rely on our ability to select the best combination of wind farming sites that yields maximal reliability of power systems at minimal cost. This research proposes a general method to minimize the wind park global power output variance by optimally distributing a predetermined number of wind turbines over a preselected number of potential wind farming sites for which the wind patterns are statistically known. The objective is to demonstrate the benefits of diversification for the reliability of wind-sustained systems through the search for steadier overall power outputs. Three years of wind data from the recent NREL/3TIER study in the western US provides the statistics for evaluating each site for their mean power output, variance and correlation with each other so that the best allocations can be determined. Some traditional reliability indices such as the LOLP are computed by using sequential Monte Carlo simulations to emulate the behavior of a power system uniquely composed of wind turbines and a load modeled from the 1996 IEEE RTS. It is shown that configurations featuring minimal global power output variances generally prove the most reliable for moderate load cases, provided the sites are not significantly correlated with the modeled load. Under these conditions, the choice of uncorrelated/negatively correlated sites is favored. The correlations between the optimized global wind power outputs and the modeled load are studied as well.

Degeilh, Yannick

2009-08-01T23:59:59.000Z

492

Evaluation of Advanced Wind Power Forecasting Models Results of the Anemos Project  

E-Print Network (OSTI)

capacity of 33.09 MW distributed on 49 Gamesa G47-660 wind turbines and one Lagerwey LW750 turbine. The RIX (digital terrain maps with elevation and roughness, wind farm layout, wind turbine power and thrust curves of the Baltic Sea. The wind farm consists of 2 Nordtank NTK500/41 turbines with a total rated capacity of 1.0 MW

Paris-Sud XI, Université de

493

Coastal zone wind energy. Part III: a procedure to determine the wind power potential of the coastal zone  

DOE Green Energy (OSTI)

A stepwise procedure is presented for determining the seasonal and/or annual mean potential wind power density for any location on the East and Gulf coasts of the United States. The steps include reference to the dominant wind regimes and mean power densities already obtained to estimate the wind power potential of the location under consideration; methods to calculate the potential wind power distributions and steps to be taken to locate the best site in the area of interest. The method can be best applied where the atmospheric systems which produce most of the wind energy at the surface are relatively persistent. The method is least successful in areas where the wind field is highly variable. Application of the complete method requires the use of an existing two- or three-dimensional mesoscale numerical model.

Garstang, M.; Pielke, R.; Snow, J.W.

1982-03-01T23:59:59.000Z

494

Michigan Wind II Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Wind II Wind Farm Wind II Wind Farm Jump to: navigation, search Name Michigan Wind II Wind Farm Facility Michigan Wind II Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Exelon Wind Developer Exelon Wind Energy Purchaser Consumers Energy Location Minden City MI Coordinates 43.6572421°, -82.7681278° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.6572421,"lon":-82.7681278,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

495

Wind Power Development in the United States: The Perfect (Wind...  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Power Development in the United States: The Perfect (Wind) Storm? Speaker(s): Mark Bolinger Date: February 25, 2008 - 12:00pm Location: 90-3122 Wind power development is...

496

NREL: Wind Research - Wind Powering America Hosts 12th Annual...  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Powering America Hosts 12th Annual All-States Summit: A Wind Powering America Success Story May 21, 2013 In 2012, the wind energy industry saw great expansion in capacity as...

497

NREL: Wind Research - Wind for Schools Project Funding Case Studies  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind for Schools Project Funding Case Studies August 26, 2013 The Wind for Schools project is part of the U.S. Department of Energy's (DOE's) Wind Powering America initiative....

498

Wind Power Today, 2010, Wind and Water Power Program (WWPP)  

SciTech Connect

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 Water Power Program.

2010-05-01T23:59:59.000Z

499

NREL: Wind Research - News  

NLE Websites -- All DOE Office Websites (Extended Search)

@NWTC Newsletter @NWTC is a quarterly newsletter that contains articles on current wind energy research projects and highlights the latest reports, papers, articles, and events...

500

Forecasting Wind Markets  

U.S. Energy Information Administration (EIA)

Emerging Technologies, Data, and NEM Modeling Issues in Wind Resource Supply Data and Modeling Chris Namovicz ASA Committee on Energy Statistics