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Note: This page contains sample records for the topic "determine area wind" 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.


1

Wind Forecast Improvement Project Southern Study Area Final Report...  

Office of Environmental Management (EM)

Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern...

2

Trimont Area Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Trimont Area Wind Farm Trimont Area Wind Farm Jump to: navigation, search Name Trimont Area Wind Farm Facility Trimont Area Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner PPM Energy Inc Developer PPM Energy Inc Energy Purchaser Great River Energy Location Southwest MN MN Coordinates 43.779594°, -94.852874° 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":43.779594,"lon":-94.852874,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

3

Making Offshore Wind Areas Available for Leasing  

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

When the U.S. Department of the Interior's Bureau of Ocean Energy Management (BOEM) needed a process to delineate the bureau's proposed offshore Wind Energy Areas (WEA) into auctionable leasing areas, the agency turned to DOE's National Renewable Energy Laboratory (NREL). Under an interagency agreement, wind energy experts from NREL helped develop a process to evaluate BOEM's designated offshore WEAs in terms of energy production, resource, water depth, and other physical criteria and delineate specific WEAs into two or more leasing areas.

4

New England Wind Forum: Determining Factors Influencing Wind Economics in  

Wind Powering America (EERE)

Determining Factors Influencing Wind Economics in New England Determining Factors Influencing Wind Economics in New England Figure 1: Installed Wind Project Costs by Region: 2003 through 2006 Projects Only New England's high land values, smaller land parcels, varied terrain, and more moderate wind speeds make for projects of smaller scale and higher unit cost than those likely to be built in Texas or the Great Plains states. Click on the graph to view a larger version. New England's high land values, smaller land parcels, varied terrain, and more moderate wind speeds make for projects of smaller scale and higher unit cost than those likely to be built in Texas or the Great Plains states. View a larger version of the graph. Figure 2: 2006 Project Capacity Factors by Region: 2002 through 2005 Projects Only The chart depicts project capacity factor by region. Click on the graph to view a larger version.

5

Analysis of Offshore Wind Energy Leasing Areas for the Rhode Island/Massachusetts Wind Energy Area  

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

Analysis of Offshore Wind Analysis of Offshore Wind Energy Leasing Areas for the Rhode Island/Massachusetts Wind Energy Area W. Musial, D. Elliott, J. Fields, Z. Parker, and G. Scott Produced under direction of the Bureau of Ocean Energy Management (BOEM) by the National Renewable Energy Laboratory (NREL) under Interagency Agreement M13PG00002 and Task No WFS3.1000. Technical Report NREL/TP-5000-58091 April 2013 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Contract No. DE-AC36-08GO28308 National Renewable Energy Laboratory 15013 Denver West Parkway Golden, CO 80401 303-275-3000 * www.nrel.gov Analysis of Offshore Wind

6

Stochastic Modeling of Multi-Area Wind Power Production  

E-Print Network (OSTI)

Stochastic Modeling of Multi-Area Wind Power Production Anthony Papavasiliou Department model accounts for the inter-temporal and spatial dependencies of multi-area wind power production. Results are presented for a case study of the California power system. Keywords - Wind power generation

Oren, Shmuel S.

7

Assessment of Offshore Wind Energy Leasing Areas for the BOEM Massachusetts Wind Energy Area  

SciTech Connect

The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL), under an interagency agreement with the Bureau of Ocean Energy Management (BOEM), is providing technical assistance to identify and delineate leasing areas for offshore wind energy development within the Atlantic Coast Wind Energy Areas (WEAs) established by BOEM. This report focuses on NREL's development of three delineated leasing area options for the Massachusetts (MA) WEA and the technical evaluation of these leasing areas. The overarching objective of this study is to develop a logical process by which the MA WEA can be subdivided into non-overlapping leasing areas for BOEM's use in developing an auction process in a renewable energy lease sale. NREL worked with BOEM to identify an appropriate number of leasing areas and proposed three delineation alternatives within the MA WEA based on the boundaries announced in May 2012. A primary output of the interagency agreement is this report, which documents the methodology, including key variables and assumptions, by which the leasing areas were identified and delineated.

Musial, W.; Parker, Z.; Fields, M.; Scott, G.; Elliott, D.; Draxl, C.

2013-12-01T23:59:59.000Z

8

Wind flow modeling for wind energy analysis of the Nellis Dunes area in Nevada.  

E-Print Network (OSTI)

??A wind energy analysis of the Nellis Dunes area in Nevada was conducted. A DEM file which contains the elevation data was used to generate (more)

Rangegowda, Upendra

2010-01-01T23:59:59.000Z

9

Wind Monitoring Report for Fort Wainwright's Donnelly Training Area  

SciTech Connect

Using the wind data collected at a location in Fort Wainwrights Donnelly Training Area (DTA) near the Cold Regions Test Center (CRTC) test track, Pacific Northwest National Laboratory (PNNL) estimated the gross and net energy productions that proposed turbine models would have produced exposed to the wind resource measured at the meteorological tower (met tower) location during the year of measurement. Calculations are based on the proposed turbine models standard atmospheric conditions power curves, the annual average wind speeds, wind shear estimates, and standard industry assumptions.

Orrell, Alice C.; Dixon, Douglas R.

2011-01-18T23:59:59.000Z

10

Short-term wind forecast for the safety management of complex areas during hazardous wind events  

Science Journals Connector (OSTI)

Abstract This paper describes the short-term wind forecast system realised in the framework of the European Project Wind and Ports: The forecast of wind for the management and safety of port areas. The project?s aim is to contribute improving the safety and accessibility to the harbour areas of the largest ports in the Northern Tyrrhenian Sea, which are frequently exposed to hazardous winds, in order to minimise the risks for users, structures, transport means, stored goods and boats within the ports. The short-term wind forecast system is based on a mixed statistical-numerical procedure, trained by means of local wind measurements and implemented into an operational chain for the real-time prediction of the maximum expected wind velocity corresponding to three forecast horizons (30, 60 and 90min) and three non-exceeding probabilities (90%, 95%, and 99%). The local wind measurements used to train the forecast algorithms have been recorded from the 15 ultra-sonic anemometers installed in the Ports of Savona, La Spezia, and Livorno. This wind-monitoring network is used also to carry out the short-term forecast system a posteriori verification and validation.

M. Burlando; M. Pizzo; M.P. Repetto; G. Solari; P. De Gaetano; M. Tizzi

2014-01-01T23:59:59.000Z

11

Distributed Array of GPS Receivers for 3D Wind Profile Determination in Wind Farms  

E-Print Network (OSTI)

Distributed Array of GPS Receivers for 3D Wind Profile Determination in Wind Farms Derek Chen to pursue further graduate studies. His research interests are in autonomous systems, remote sensing presentation awards at ION GNSS conferences. ABSTRACT Wind energy is currently one of the fastest growing

Gao, Grace Xingxin

12

Property:PotentialOnshoreWindArea | Open Energy Information  

Open Energy Info (EERE)

PotentialOnshoreWindArea PotentialOnshoreWindArea Jump to: navigation, search Property Name PotentialOnshoreWindArea Property Type Quantity Description The area of potential onshore wind in a place. Use this type to express a quantity of two-dimensional space. The default unit is the square meter (m²). http://en.wikipedia.org/wiki/Area Acceptable units (and their conversions) are: Square Meters - 1 m²,m2,m^2,square meter,square meters,Square Meter,Square Meters,Sq. Meters,SQUARE METERS Square Kilometers - 0.000001 km²,km2,km^2,square kilometer,square kilometers,square km,square Kilometers,SQUARE KILOMETERS Square Miles - 0.000000386 mi²,mi2,mi^2,mile²,square mile,square miles,square mi,Square Miles,SQUARE MILES Square Feet - 10.7639 ft²,ft2,ft^2,square feet,square foot,FT²,FT2,FT^2,Square Feet, Square Foot

13

Property:PotentialOffshoreWindArea | Open Energy Information  

Open Energy Info (EERE)

PotentialOffshoreWindArea PotentialOffshoreWindArea Jump to: navigation, search Property Name PotentialOffshoreWindArea Property Type Quantity Description The area of potential offshore wind in a place. Use this type to express a quantity of two-dimensional space. The default unit is the square meter (m²). http://en.wikipedia.org/wiki/Area Acceptable units (and their conversions) are: Square Meters - 1 m²,m2,m^2,square meter,square meters,Square Meter,Square Meters,Sq. Meters,SQUARE METERS Square Kilometers - 0.000001 km²,km2,km^2,square kilometer,square kilometers,square km,square Kilometers,SQUARE KILOMETERS Square Miles - 0.000000386 mi²,mi2,mi^2,mile²,square mile,square miles,square mi,Square Miles,SQUARE MILES Square Feet - 10.7639 ft²,ft2,ft^2,square feet,square foot,FT²,FT2,FT^2,Square Feet, Square Foot

14

Preliminary evaluation of wind energy potential: Cook Inlet area, Alaska  

SciTech Connect

This report summarizes work on a project performed under contract to the Alaska Power Administration (APA). The objective of this research was to make a preliminary assessment of the wind energy potential for interconnection with the Cook Inlet area electric power transmission and distribution systems, to identify the most likely candidate regions (25 to 100 square miles each) for energy potential, and to recommend a monitoring program sufficient to quantify the potential.

Hiester, T.R.

1980-06-01T23:59:59.000Z

15

Categorical Exclusion Determinations: Western Area Power  

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

Sierra Nevada Region Sierra Nevada Region Categorical Exclusion Determinations: Western Area Power Administration-Sierra Nevada Region Categorical Exclusion Determinations issued by Western Area Power Administration-Sierra Nevada Region. DOCUMENTS AVAILABLE FOR DOWNLOAD July 3, 2013 CX-010684: Categorical Exclusion Determination Cottonwood-Roseville Optical Groundwire Project CX(s) Applied: B4.6, B4.7, B4.11, B4.13 Date: 07/03/2013 Location(s): California Offices(s): Western Area Power Administration-Sierra Nevada Region September 15, 2011 CX-006896: Categorical Exclusion Determination Maxwell - O'Banion Optical Ground Wire CX(s) Applied: B1.7, B4.6, B4.7, B4.11 Date: 09/15/2011 Location(s): Sutter County, California Office(s): Western Area Power Administration-Sierra Nevada Region, National

16

Categorical Exclusion Determinations: Western Area Power  

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

Colorado River Storage Project Management Center Colorado River Storage Project Management Center Categorical Exclusion Determinations: Western Area Power Administration-Colorado River Storage Project Management Center Categorical Exclusion Determinations issued by Western Area Power Administration-Colorado River Storage Project Management Center. DOCUMENTS AVAILABLE FOR DOWNLOAD January 25, 2011 CX-005545: Categorical Exclusion Determination Installation of Metering and Circuit Breaker at Powell 69-Kilovolt Substation CX(s) Applied: B4.11 Date: 01/25/2011 Location(s): Page, Arizona Office(s): Western Area Power Administration-Colorado River Storage Project Management Center October 26, 2009 CX-005544: Categorical Exclusion Determination Power Rate Formula for the Provo River Project of the Western Area Power

17

Categorical Exclusion Determinations: Western Area Power  

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

Upper Great Plains Region Upper Great Plains Region Categorical Exclusion Determinations: Western Area Power Administration-Upper Great Plains Region Categorical Exclusion Determinations issued by Western Area Power Administration-Upper Great Plains Region. DOCUMENTS AVAILABLE FOR DOWNLOAD March 22, 2013 CX-010553: Categorical Exclusion Determination Appledorn Substation Construction CX(s) Applied: B4.11 Date: 03/22/2010 Location(s): Minnesota Offices(s): Western Area Power Administration-Upper Great Plains Region December 3, 2012 CX-009534: Categorical Exclusion Determination Construct New Transmission Line and Footings, Garrison Switchyard CX(s) Applied: B4.13 Date: 12/03/2012 Location(s): North Dakota Offices(s): Western Area Power Administration-Upper Great Plains Region October 11, 2011

18

Categorical Exclusion Determinations: Western Area Power  

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

Desert Southwest Region Desert Southwest Region Categorical Exclusion Determinations: Western Area Power Administration-Desert Southwest Region Categorical Exclusion Determinations issued by Western Area Power Administration-Desert Southwest Region. DOCUMENTS AVAILABLE FOR DOWNLOAD August 22, 2013 CX-010882: Categorical Exclusion Determination Liberty-Parker Dam #2 230-Kilovolt Transmission Line, Optical Power Ground Wire Repair CX(s) Applied: B4.7 Date: 08/22/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region August 12, 2013 CX-010883: Categorical Exclusion Determination PHX-LOB and LIB-LOB 230-Kilovolt Double-Circuit- Replace Insulators at Structure No. 28-2 With NCI Type Polymers CX(s) Applied: B1.3 Date: 08/12/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

19

Determination of wind from Nimbus-6 satellite sounding data  

E-Print Network (OSTI)

DETERMINATION OF WIND FROM NIMBUS-6 SATELLITE SOUNDING DATA A Thesis by WILLIAM EVERETT CARLE Submitted to the Graduate College of Texas A&M University in partial fulfil!. ment of the requirement for the deg. . ec of MASTER OF SCIENCE... December 1979 Major Subject: Meteorology DETEIQ&INATION OE WIND PROS1 NINEDS-6 SATELLITE SOUNDING DATA A Thesis WILLIA11 EVERETT CARLE Aporoved as to style and content by: (Chairman of Commi tee) Nember) (Head of Department) December 1979...

Carle, William Everett

2012-06-07T23:59:59.000Z

20

USAGE OF RADARS FOR WIND ENERGY APPICATIONS Determine the benefit of using radar observations for wind energy applications by  

E-Print Network (OSTI)

USAGE OF RADARS FOR WIND ENERGY APPICATIONS TASK: Determine the benefit of using radar observations for wind energy applications by analyzing i) the resolution effects and ii) sensitivity effects of weather radar systems. MOTIVATION: Wind energy applications strongly focus high-resolution wind observations

Note: This page contains sample records for the topic "determine area wind" 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

Categorical Exclusion Determinations: Western Area Power  

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

November 23, 2010 November 23, 2010 CX-004887: Categorical Exclusion Determination Cable and Conduit Addition Within the Fenced Area of the Buck Boulevard Substation CX(s) Applied: B4.6 Date: 11/23/2010 Location(s): Riverside County, California Office(s): Western Area Power Administration-Desert Southwest Region November 23, 2010 CX-007129: Categorical Exclusion Determination Buck Boulevard Substation CX(s) Applied: B4.6 Date: 11/23/2010 Location(s): Ripley, California Office(s): Western Area Power Administration-Desert Southwest Region November 5, 2010 CX-004898: Categorical Exclusion Determination Gila-Wellton-Mohawk (Structure Maintenance) CX(s) Applied: B1.3 Date: 11/05/2010 Location(s): Yuma County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region

22

A Framework to Determine the Probability Density Function for the Output Power of Wind Farms  

E-Print Network (OSTI)

A Framework to Determine the Probability Density Function for the Output Power of Wind Farms Sairaj to the power output of a wind farm while factoring in the availability of the wind turbines in the farm availability model for the wind turbines, we propose a method to determine the wind-farm power output pdf

Liberzon, Daniel

23

Categorical Exclusion Determinations: Western Area Power  

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

March 29, 2012 March 29, 2012 CX-008407: Categorical Exclusion Determination Terry Ranch Road Substation CX(s) Applied: B1.24, B4.11 Date: 03/29/2012 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region March 29, 2012 CX-008403: Categorical Exclusion Determination Multiple Structure Replacement Flaming Gorge to Vernal No. 1 138 Kilovolt Transmission Line CX(s) Applied: B1.3 Date: 03/29/2012 Location(s): Utah Offices(s): Western Area Power Administration-Rocky Mountain Region March 29, 2012 CX-008399: Categorical Exclusion Determination Erosion Control Measures Structure No. 110-3 Dave Johnston to Stegall 230 Kilovolt Transmission Line CX(s) Applied: B1.3 Date: 03/29/2012 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

24

Categorical Exclusion Determinations: Western Area Power  

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

December 16, 2009 December 16, 2009 CX-000556: Categorical Exclusion Determination Willoby Substation Construction Project-Weld County, Colorado CX(s) Applied: B4.11 Date: 12/16/2009 Location(s): Weld County, Colorado Office(s): Western Area Power Administration-Rocky Mountain Region December 2, 2009 CX-000555: Categorical Exclusion Determination Boysen-Pilot Butte 115-kilovolt Transmission Line Vegetation Management and Access Road Maintenance CX(s) Applied: B1.3 Date: 12/02/2009 Location(s): Fremont County, Wyoming Office(s): Western Area Power Administration-Rocky Mountain Region November 16, 2009 CX-000554: Categorical Exclusion Determination Ogallala Substation KY1A Transformer Replacement CX(s) Applied: B4.6 Date: 11/16/2009 Location(s): Ogallala, Nebraska Office(s): Western Area Power Administration-Rocky Mountain Region

25

Categorical Exclusion Determinations: Western Area Power  

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

May 2, 2011 May 2, 2011 CX-007145: Categorical Exclusion Determination Empire-Electrical District 5 Double Circuit Upgrade Amendment CX(s) Applied: B1.3 Date: 05/02/2011 Location(s): Pinal County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region April 28, 2011 CX-007144: Categorical Exclusion Determination Empire-Electrical District 5 Double Circuit Upgrade Amendment CX(s) Applied: B1.3 Date: 04/28/2011 Location(s): Pinal County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region April 28, 2011 CX-007132: Categorical Exclusion Determination Casa Grande-Empire Double Circuit Upgrade Amendment CX(s) Applied: B4.13 Date: 04/28/2011 Location(s): Pinal County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region

26

Categorical Exclusion Determinations: Western Area Power  

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

March 11, 2010 March 11, 2010 CX-007156: Categorical Exclusion Determination New Waddell-Raceway-Westwing Structure Replacement CX(s) Applied: B4.6, B4.13 Date: 03/11/2010 Location(s): Maricopa County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region February 18, 2010 CX-007167: Categorical Exclusion Determination Rogers-Coolidge Danger Tree Removal CX(s) Applied: B1.3 Date: 02/18/2010 Location(s): Pinal County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region December 31, 2009 CX-001121: Categorical Exclusion Determination Transmission Line Structure Relocation of Existing Oracle-Tucson 115-kilovolt Transmission Line CX(s) Applied: B4.13 Date: 12/31/2009 Location(s): Pima County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region

27

Categorical Exclusion Determinations: Western Area Power  

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

April 1, 2013 April 1, 2013 CX-010106: Categorical Exclusion Determination Flaming Gorge Microwave Site Communications Building Access Road Repairs CX(s) Applied: B1.3 Date: 04/01/2013 Location(s): Utah Offices(s): Western Area Power Administration-Rocky Mountain Region March 26, 2013 CX-010105: Categorical Exclusion Determination Urban Transmission Line Danger Tree Management CX(s) Applied: B1.3 Date: 03/26/2013 Location(s): Colorado, Colorado, Colorado, Colorado, Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region January 23, 2013 CX-009804: Categorical Exclusion Determination Kersey West Switching Station Interconnection Kiowa Creek - Welc 115 Kilovolt Transmission Line CX(s) Applied: B4.1, B4.11 Date: 01/23/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

28

A sensitivity study of the WRF model in wind simulation for an area of high wind energy  

Science Journals Connector (OSTI)

The performance of the Weather Research and Forecast (WRF) model in wind simulation was evaluated under different numerical and physical options for an area of Portugal, located in complex terrain and characterized by its significant wind energy resource. The grid nudging and integration time of the simulations were the tested numerical options. Since the goal is to simulate the near-surface wind, the physical parameterization schemes regarding the boundary layer were the ones under evaluation. Also, the influences of the local terrain complexity and simulation domain resolution on the model results were also studied. Data from three wind measuring stations located within the chosen area were compared with the model results, in terms of Root Mean Square Error, Standard Deviation Error and Bias. Wind speed histograms, occurrences and energy wind roses were also used for model evaluation. Globally, the model accurately reproduced the local wind regime, despite a significant underestimation of the wind speed. The wind direction is reasonably simulated by the model especially in wind regimes where there is a clear dominant sector, but in the presence of low wind speeds the characterization of the wind direction (observed and simulated) is very subjective and led to higher deviations between simulations and observations. Within the tested options, results show that the use of grid nudging in simulations that should not exceed an integration time of 2 days is the best numerical configuration, and the parameterization set composed by the physical schemes MM5Yonsei UniversityNoah are the most suitable for this site. Results were poorer in sites with higher terrain complexity, mainly due to limitations of the terrain data supplied to the model. The increase of the simulation domain resolution alone is not enough to significantly improve the model performance. Results suggest that error minimization in the wind simulation can be achieved by testing and choosing a suitable numerical and physical configuration for the region of interest together with the use of high resolution terrain data, if available.

David Carvalho; Alfredo Rocha; Moncho Gmez-Gesteira; Carlos Santos

2012-01-01T23:59:59.000Z

29

Distribution of Extreme Winds in the Bonneville Power Administration Service Area  

Science Journals Connector (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

30

Categorical Exclusion Determinations: Western Area Power  

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

July 25, 2012 July 25, 2012 CX-008787: Categorical Exclusion Determination Midway Substation 230 Kilovolt Upgrades El Paso County, Colorado CX(s) Applied: B4.6, B4.11 Date: 07/25/2012 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region July 23, 2012 CX-008784: Categorical Exclusion Determination License Outgrant to Owl Creek Water District Town of Thermopolis, Hot Springs County, Wyoming CX(s) Applied: B4.9 Date: 07/23/2012 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region July 3, 2012 CX-008779: Categorical Exclusion Determination Curecanti-Poncha-Canon City West-Midway 230-Kilovolt Transmission Line Road Maintenance Gunnison, Chaffee, Fremont, Pueblo, and El Paso Counties, Colorado CX(s) Applied: B1.3

31

Categorical Exclusion Determinations: Western Area Power  

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

May 19, 2011 May 19, 2011 CX-005981: Categorical Exclusion Determination Curecanti Substation Containment Wall, Montrose County, Colorado CX(s) Applied: B1.6 Date: 05/19/2011 Location(s): Montrose County, Colorado Office(s): Western Area Power Administration-Rocky Mountain Region May 18, 2011 CX-005937: Categorical Exclusion Determination Boyd-Valley Transmission Line Optical Ground Wire Fiber Optic Installation, Larimer County, Colorado CX(s) Applied: B4.7 Date: 05/18/2011 Location(s): Larimer County, Colorado Office(s): Western Area Power Administration-Rocky Mountain Region May 17, 2011 CX-006244: Categorical Exclusion Determination Craig-Bears Ears-Hayden Substations Fiber Optic and Pole Installation, Moffat and Routt Counties, Colorado CX(s) Applied: B4.6, B4.7 Date: 05/17/2011

32

Categorical Exclusion Determinations: Western Area Power  

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

April 24, 2013 April 24, 2013 CX-010097: Categorical Exclusion Determination Herbicide Application at Lone Butte Substation During Fiscal Year 2013 CX(s) Applied: B1.3 Date: 04/24/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region April 19, 2013 CX-010096: Categorical Exclusion Determination Herbicide Application at 36 Substations Located in Arizona and California During Fiscal Year 2013 CX(s) Applied: B1.3 Date: 04/19/2013 Location(s): Arizona, Arizona, Arizona, Arizona, Arizona Offices(s): Western Area Power Administration-Desert Southwest Region April 8, 2013 CX-010098: Categorical Exclusion Determination Phoenix to Lone Butte 230 Kilovolt Transmission Line, Bird Diverter Installation CX(s) Applied: B1.3 Date: 04/08/2013 Location(s): CX: none

33

Stochastic Modeling of Multi-Area Wind Power Production Anthony Papavasiliou  

E-Print Network (OSTI)

Stochastic Modeling of Multi-Area Wind Power Production Anthony Papavasiliou CORE, UCL anthony of wind power production on power system operations over an entire year, it is necessary to account for the non-stationary (seasonal and diurnal) patterns of wind power production. This paper presents a multi

Oren, Shmuel S.

34

Extreme wind studies in Singapore. An area with mixed weather system  

Science Journals Connector (OSTI)

This paper presents an extreme wind studies in Singapore, which is an area with mixed weather systems. The extreme winds in Singapore are generated by both monsoon and thunderstorms (or squalls). Thus, the design wind speed is expected to be influenced by these weather systems. Two methods, i.e. Gumbel's and Independent Storm methods, were used in this study. However, the co-existence of the weather systems suggested that the estimation of the design wind speed might not be done in a straightforward manner. Extreme wind data need to be sorted according to the different wind producing weather system before any analyses could be carried out. In this study, the wind extreme data were separated into two weather systems, namely the large- and small-scale systems. Although the area of Singapore is about 40km20km, the result suggests that the wind characteristics at Tengah (west side of Singapore) were different from Seletar (central) and Changi (east of Singapore).

E.C.C Choi; A Tanurdjaja

2002-01-01T23:59:59.000Z

35

Wind Resource Mapping for United States Offshore Areas: Preprint  

SciTech Connect

The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) is producing validated wind resource maps for priority offshore regions of the United States. This report describes the methodology used to validate the maps and to build a Geographic Information Systems (GIS) database to classify the offshore wind resource by state, water depth, distance from shore, and administrative unit.

Elliott, D.; Schwartz, M.

2006-06-01T23:59:59.000Z

36

Field studies of the potential for wind transport of plutonium- contaminated soils at sites in Areas 6 and 11, Nevada Test Site  

SciTech Connect

This report describes and documents a series of field experiments carried out in Areas 6 and 11 of the Nevada Test Site in June and July 1994 to determine parameters of boundary layer winds, surface characteristics, and vegetation cover that can be used to predict dust emissions from the affected sites. Aerodynamic roughness of natural sites is determined largely by the lateral cover of the larger and more permanent roughness elements (shrubs). These provide a complete protection of the surface from wind erosion. Studies using a field-portable wind tunnel demonstrated that natural surfaces in the investigated areas of the Nevada Test Site are stable except at very high wind speeds (probably higher than normally occur, except perhaps in dust devils). However, disturbance of silty-clay surfaces by excavation devices and vehicles reduces the entrainment threshold by approximately 50% and makes these areas potentially very susceptible to wind erosion and transport of sediments.

Lancaster, N.; Bamford, R.; Metzger, S. [University and Community Coll. System of Nevada, Reno, NV (United States). Quaternary Sciences Center, Desert Research Institute

1995-07-01T23:59:59.000Z

37

Wind Energy Development as an Economic Development Strategy for Rural Areas  

E-Print Network (OSTI)

Why does wind development make sense for rural areas? In many rural areas, utility scale wind energy developments can be a great way to expand and grow the economy through direct investment and job creation, in addition to significant potential spinoff development activities. Because of renewable state standards and incentives, including the Federal Production Tax Credit (PTC) and the Ohio SB 232 (which levels the playing field for wind projects by setting a property tax ceiling), more wind companies view Ohio as a new and exciting market for investment. Siting requirements for wind are also prevalent in Ohio, including good transmission lines and available land and wind resources. Ohio also has a skilled workforce that can construct and provide maintenance on wind systems as well as manufacture component parts for the industry. Utility Wind Basics Utility scale wind developments are large wind farms that generate 5 megawatts per hour or greater. They are governed by the Ohio Power Siting Board (OPSB) under provisions found in House Bill 562, 2008

Nancy Bowen-ellzey

38

Determination of erodible particles on cultivated soils by wind tunnel simulation  

Science Journals Connector (OSTI)

The erodible particle size distribution, diameter range and separate content of three soils from semi-arid regions of China were determined at different wind velocities through wind tunnel simulation and dry siev...

Lianyou Liu; Jianhua Wang; Xiaoyan Li; Yuzhang Liu; Wanquan Ta

1998-10-01T23:59:59.000Z

39

Extreme wind characteristics over Singapore an area in the equatorial belt  

Science Journals Connector (OSTI)

Areas close to the equator, e.g. places like Singapore, are outside the belt of severe tropical cyclone. The monsoon winds over these regions are also mild. Thus, strong winds due to these weather systems are relatively less severe. On the other hand, equatorial regions have frequent tropical thunderstorms. Wind speeds of the gust fronts of these thunderstorms can be relatively high. As the wind characteristics for the thunderstorm (TS) wind and the non-thunderstorm (NTS) wind are expected to be different, it is important to understand their contributions and effects towards the wind loading design of structures. This paper looks at the extreme wind characteristics in Singapore. Extreme wind speeds during thunderstorms and non-thunderstorms are studied. The findings show that while extreme TS gust speeds are consistently higher than those of NTS. Extreme mean wind speeds for TS are smaller than those of NTS. It is also observed that gust factors for peak over 10-min mean as well as peak over hourly mean during thunderstorms are both higher than those for non-thunderstorms.

Edmund C.C Choi

1999-01-01T23:59:59.000Z

40

Study Determines Wind-Induced Cycling Impacts are Minimal | Department...  

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

in the western United States. One of the barriers to increasing the deployment of wind energy to this level of penetration has been concern from utilities that wind-induced...

Note: This page contains sample records for the topic "determine area wind" 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

Determining Optimal Locations for New Wind Energy Development in Iowa.  

E-Print Network (OSTI)

??The purpose of this research is to generate the most accurate model possible for predicting locations most suitable for new wind energy development using a (more)

Mann, David

2011-01-01T23:59:59.000Z

42

Bird Mortaility at the Altamont Pass Wind Resource Area: March 1998--September 2001  

SciTech Connect

Over the past 15 years, research has shown that wind turbines in the Altamont Pass Wind Resource Area (APWRA) kill many birds, including raptors, which are protected by the Migratory Bird Treaty Act (MBTA), the Bald and Golden Eagle Protection Act, and/or state and federal Endangered Species Acts. Early research in the APWRA on avian mortality mainly attempted to identify the extent of the problem. In 1998, however, the National Renewable Energy Laboratory (NREL) initiated research to address the causal relationships between wind turbines and bird mortality. NREL funded a project by BioResource Consultants to perform this research directed at identifying and addressing the causes of mortality of various bird species from wind turbines in the APWRA.With 580 megawatts (MW) of installed wind turbine generating capacity in the APWRA, wind turbines there provide up to 1 billion kilowatt-hours (kWh) of emissions-free electricity annually. By identifying and implementing new methods and technologies to reduce or resolve bird mortality in the APWRA, power producers may be able to increase wind turbine electricity production at the site and apply similar mortality-reduction methods at other sites around the state and country.

Smallwood, K. S.; Thelander, C. G.

2005-09-01T23:59:59.000Z

43

Greater Sage-Grouse Habitat Use and Population Demographics at the Simpson Ridge Wind Resource Area, Carbon County, Wyoming  

SciTech Connect

This study was conducted to obtain baseline data on use of the proposed Simpson Ridge Wind Resource Area (SRWRA) in Carbon County, Wyoming by greater sage-grouse. The first two study years were designed to determine pre-construction seasonally selected habitats and population-level vital rates (productivity and survival). The presence of an existing wind energy facility in the project area, the PacifiCorp Seven Mile Hill (SMH) project, allowed us to obtain some information on initial sage-grouse response to wind turbines the first two years following construction. To our knowledge these are the first quantitative data on sage-grouse response to an existing wind energy development. This report presents results of the first two study years (April 1, 2009 through March 30, 2011). This study was selected for continued funding by the National Wind Coordinating Collaborative Sage-Grouse Collaborative (NWCC-SGC) and has been ongoing since March 30, 2011. Future reports summarizing results of this research will be distributed through the NWCC-SGC. To investigate population trends through time, we determined the distribution and numbers of males using leks throughout the study area, which included a 4-mile radius buffer around the SRWRA. Over the 2-year study, 116 female greater sage-grouse were captured by spotlighting and use of hoop nets on roosts surrounding leks during the breeding period. Radio marked birds were located anywhere from twice a week to once a month, depending on season. All radio-locations were classified to season. We developed predictor variables used to predict success of fitness parameters and relative probability of habitat selection within the SRWRA and SMH study areas. Anthropogenic features included paved highways, overhead transmission lines, wind turbines and turbine access roads. Environmental variables included vegetation and topography features. Home ranges were estimated using a kernel density estimator. We developed resource selection functions (RSF) to estimate probability of selection within the SRWRA and SMH. Fourteen active greater sage-grouse leks were documented during lek surveys Mean lek size decreased from 37 in 2008 to 22 in 2010. Four leks located 0.61, 1.3, 1.4 and 2.5 km from the nearest wind turbine remained active throughout the study, but the total number of males counted on these four leks decreased from 162 the first year prior to construction (2008), to 97 in 2010. Similar lek declines were noted in regional leks not associated with wind energy development throughout Carbon County. We obtained 2,659 sage-grouse locations from radio-equipped females, which were used to map use of each project area by season. The sage-grouse populations within both study areas are relatively non-migratory, as radio-marked sage-grouse used similar areas during all annual life cycles. Potential impacts to sage-grouse from wind energy infrastructure are not well understood. The data rom this study provide insight into the early interactions of wind energy infrastructure and sage-grouse. Nest success and brood-rearing success were not statistically different between areas with and without wind energy development in the short-term. Nest success also was not influenced by anthropogenic features such as turbines in the short-term. Additionally, female survival was similar among both study areas, suggesting wind energy infrastructure was not impacting female survival in the short-term; however, further analysis is needed to identify habitats with different levels of risk to better understand the impact of wind enregy development on survival. Nest and brood-rearing habitat selection were not influenced by turbines in the short-term; however, summer habitat selection occurred within habitats closer to wind turbines. Major roads were avoided in both study areas and during most of the seasons. The impact of transmission lines varied among study areas, suggesting other landscape features may be influencing selection. The data provided in this report are preliminary and are not meant to provide a basis for fo

Gregory D. Johnson; Chad W. LeBeau; Ryan Nielsen; Troy Rintz; Jamey Eddy; Matt Holloran

2012-03-27T23:59:59.000Z

44

Using Economics to Determine the Efficient Curtailment of Wind Energy  

SciTech Connect

This paper discusses the potential societal benefits to the energy market by allowing the dispatch of wind generation in times when it may enhance reliability and be economically advantageous to do so.

Ela, E.

2009-02-01T23:59:59.000Z

45

Remote area wind energy harvesting for low-power autonomous sensors Abstract--A growing demand for deployment of autonomous  

E-Print Network (OSTI)

Remote area wind energy harvesting for low-power autonomous sensors Abstract--A growing demand wind energy harvesting is presented, with a focus on an anemometer-based solution. By utilizing for localized, independent energy harvesting capabilities for each node. In this paper, a method of remote area

46

SAW determination of surface area of thin films  

DOE Patents (OSTI)

N.sub.2 adsorption isotherms are measured from thin films on SAW devices. The isotherms may be used to determine the surface area and pore size distribution of thin films.

Frye, Gregory C. (Albuquerque, NM); Martin, Stephen J. (Albuquerque, NM); Ricco, Antonio J. (Albuquerque, NM)

1990-01-01T23:59:59.000Z

47

A preliminary energy and environmental assessment of a micro wind turbine prototype in natural protected areas  

Science Journals Connector (OSTI)

Abstract This paper presents a preliminary energy and environmental analysis of a vertical-axis micro wind turbine with a nominal electric power of 3.7kW. This prototype is called AM300. The main aim of the paper is to assess the amount of electric energy production of the AM300 and its feasible use in low wind speed areas. Furthermore, analyzing its low environmental impact, a potential installation in a natural protected area was considered. The turbine power curve was estimated by anemometric measurements. Furthermore, foreseeable prototype hybridization with PV array was analyzed. The environmental performance was assessed evaluating the soil, hydro geological, biodiversity and noise impacts. Finally, an analysis of the CO2 emissions avoided is reported. The obtained results show good sustainability perspectives.

Livio de Santoli; Angelo Albo; Davide Astiaso Garcia; Daniele Bruschi; Fabrizio Cumo

2014-01-01T23:59:59.000Z

48

WindPACT Turbine Design Scaling Studies: Technical Area 4ƒBalance-of-Station Cost  

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

1 * NREL/SR-500-29950 1 * NREL/SR-500-29950 D.A. Shafer, K.R. Strawmyer, R.M. Conley, J.H. Guidinger, D.C. Wilkie, and T.F. Zellman With assistance from D.W. Bernadett Commonwealth Associates, Inc. Jackson, Michigan WindPACT Turbine Design Scaling Studies: Technical Area 4- Balance-of-Station Cost 21 March 2000-15 March 2001 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * * * * Battelle * * * * Bechtel Contract No. DE-AC36-99-GO10337 July 2001 * NREL/SR-500-29950 WindPACT Turbine Desing Scaling Studies: Technical Area 4- Balance-of-Station Cost 21 March 2000-15 March 2001 D.A. Shafer, K.R. Strawmyer, R.M. Conley, J.H. Guidinger, D.C. Wilkie, and T.F. Zellman

49

The determination of stochastic loads on horizontal axis wind turbine blades  

SciTech Connect

The FAST Code which is capable of determining structural loads of a flexible, teetering, horizontal axis wind turbine is described and comparisons of calculated loads with test data are given at two wind speeds for the ESI-80. The FAST Code models a two-bladed HAWT with degrees-of-freedom for blade bending, teeter, drive train flexibility, yaw, and windwise and crosswind tower motion. The code allows blade dimensions, stiffnesses, and weights to differ and the code models tower shadow, wind shear, and turbulence. Additionally, dynamic stall is included as are delta-3 and an underslung rotor. Load comparisons are made with ESI-80 test data in the form of power spectral density, rainflow counting occurrence histograms, and azimuth averaged bin plots. It is concluded that agreement between the FAST Code and test results is good.

Freeman, L.N.; Wilson, R.E. [Oregon State Univ., Corvallis, OR (United States). Dept. of Mechanical Engineering

1998-05-01T23:59:59.000Z

50

BIRD MORTALITY IN THE ALTAMONT PASS WIND RESOURCE AREA 3.1 INTRODUCTION  

E-Print Network (OSTI)

The approximately 5,400 wind turbines operating in the APWRA generate about 580 MW of electricity, but they also relative to the number of megawatts generated by the wind turbines and the time span over which and the recruitment rate of each species, thus estimating the degree to which the wind turbines adversely affect

51

BIRD BEHAVIORS IN THE ALTAMONT PASS WIND RESOURCE AREA 8.1 INTRODUCTION  

E-Print Network (OSTI)

with operating wind turbines (Estep 1989; Howell and DiDonato 1991; Howell and Noone 1992; Orloff and Flannery proposed as a contributing factor to the susceptibility of birds to collide with wind turbines (Cade 1995 was confounded by evidence that the existence and operation of wind turbines may have already changed bird

52

Categorical Exclusion Determinations: Western Area Power Administration-Rocky Mountain Region  

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

Categorical Exclusion Determinations issued by Western Area Power Administration-Rocky Mountain Region.

53

Economic and Technical Feasibility Study of Utility-Scale Wind Generation for the New York Buffalo River and South Buffalo Brownfield Opportunity Areas  

SciTech Connect

Through the RE-Powering America's Land initiative, the economic and technical feasibility of utilizing contaminated lands in the Buffalo, New York, area for utility-scale wind development is explored. The study found that there is available land, electrical infrastructure, wind resource, and local interest to support a commercial wind project; however, economies of scale and local electrical markets may need further investigation before significant investment is made into developing a wind project at the Buffalo Reuse Authority site.

Roberts, J. O.; Mosey, G.

2014-04-01T23:59:59.000Z

54

American Institute of Aeronautics and Astronautics Wind Shear over Forested Areas  

E-Print Network (OSTI)

a Workshop on the Influence of Trees on Wind Farm Energy Yields in March 2004. At that workshop Raferty4. Rogers* , James F. Manwell and Anthony F. Ellis Renewable Energy Research Laboratory, University of Massachusetts, Amherst, MA 01003 Nomenclature d = displacement distance h = tree height U = wind speed Uref

Massachusetts at Amherst, University of

55

Challenges and strategies for increasing adoption of small wind turbines in urban areas  

E-Print Network (OSTI)

A student group at MIT in cooperation with the MIT Department of Facilities is currently working to install a Skystream 3.7 wind turbine on MIT's campus. This has raised several questions about how to best develop small ...

Ferrigno, Kevin J. (Kevin James)

2010-01-01T23:59:59.000Z

56

The catchment area of wind farms for European bats: A plea for international regulations  

Science Journals Connector (OSTI)

Wind turbines are increasingly established throughout Europe and North America with often fatal consequences for wildlife, most importantly bats and birds. Yet, it is often unknown over what geographical distances wind farms are affecting animal populations. Based on stable hydrogen isotopes in fur, we assessed the geographic provenance of bats killed in summer and autumn at German wind turbines. We found that killed Pipistrellus nathusii originated from Estonia or Russia, and Pipistrellus pipistrellus from more local populations. Noctule bats (Nyctalus noctula) and Leislers bats (Nyctalus leisleri) were of Scandinavian or northeastern origin. Our isotopic geo-location reveals that wind turbines kill bats not only of sedentary local populations but also of distant populations, thus having potentially a negative impact beyond political borders; an observation that calls for international regulations for implementing mitigation measures to prevent large-scale detrimental effects on endangered bat populations.

Christian C. Voigt; Ana G. Popa-Lisseanu; Ivo Niermann; Stephanie Kramer-Schadt

2012-01-01T23:59:59.000Z

57

WindPACT Turbine Design Scaling Studies Technical Area 1ŒComposite Blades for 80- to 120-Meter Rotor  

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

1 * NREL/SR-500-29492 1 * NREL/SR-500-29492 Dayton A. Griffin Global Energy Concepts Kirkland, Washington WindPACT Turbine Design Scaling Studies Technical Area 1-Composite Blades for 80- to 120-Meter Rotor March 21, 2000 - March 15, 2001 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * * * * Battelle * * * * Bechtel Contract No. DE-AC36-99-GO10337 April 2001 * NREL/SR-500-29492 WindPACT Turbine Design Scaling Studies Technical Area 1-Composite Blades for 80- to 120-Meter Rotor March 21, 2000 - March 15, 2001 Dayton A. Griffin Global Energy Concepts Kirkland, Washington NREL Technical Monitor: Alan Laxson Prepared under Subcontract No. YAM-0-30203-01 National Renewable Energy Laboratory

58

WindPACT Turbine Design Scaling Studies Technical Area 3ŒSelf-Erecting Tower and Nacelle Feasibility  

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

1 * NREL/SR-500-29493 1 * NREL/SR-500-29493 Global Energy Concepts, LLC Kirkland, Washington WindPACT Turbine Design Scaling Studies Technical Area 3-Self-Erecting Tower and Nacelle Feasibility March 2000-March 2001 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * * * * Battelle * * * * Bechtel Contract No. DE-AC36-99-GO10337 May 2001 * NREL/SR-500-29493 WindPACT Turbine Design Scaling Studies Technical Area 3-Self-Erecting Tower and Nacelle Feasibility March 2000-March 2001 Global Energy Concepts, LLC Kirkland, Washington NREL Technical Monitor: Alan Laxson Prepared under Subcontract No. YAM-0-30203-01 National Renewable Energy Laboratory 1617 Cole Boulevard

59

Particle Swarm Optimization and Gradient Descent Methods for Optimization of PI Controller for AGC of Multi-area Thermal-Wind-Hydro Power Plants  

Science Journals Connector (OSTI)

The automatic generation control (AGC) of three unequal interconnected Thermal, Wind and Hydro power plant has been designed with PI controller. Further computational intelligent technique Particle Swarm Optimization and conventional Gradient Descent ... Keywords: Automatic generation control, Particle swarm optimization, Gradient Descent method, Generation rate constraint, Area control error, Wind energy conversion system

Naresh Kumari; A N. Jha

2013-04-01T23:59:59.000Z

60

NREL: Wind Research - Wind Energy Videos  

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

Wind Energy Videos The National Wind Technology Center (NWTC) is pleased to offer video presentations of its world-class capabilities, facilities, research areas, and personnel. As...

Note: This page contains sample records for the topic "determine area wind" 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

Analysis of the Impact of Balancing Area Cooperation on the Operation of the Western Interconnection with Wind and Solar Generation (Presentation)  

SciTech Connect

This presentation describes the analysis of the impact of balancing area cooperation on the operation of the Western Interconnection with wind and solar generation, including a discussion of operating reserves, ramping, production simulation, and conclusions.

Milligan, M.; Lew, D.; Jordan, G.; Piwko, R.; Kirby, B.; King, J.; Beuning, S.

2011-05-01T23:59:59.000Z

62

NREL: Wind Research - International Wind Resource Maps  

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

projections of wind resources worldwide. This allows for more accurate siting of wind turbines and has led to the recognition of higher class winds in areas where none were...

63

Spatial distribution of non-native invasive plants following large-scale wind damage at LaRue Pine Hills - Otter Pond Research Natural Area, Union County, Illinois.  

E-Print Network (OSTI)

??The objective of this study was to determine if a large-scale wind disturbance facilitated the invasion of forest interiors by non-native invasive plant species. The (more)

Romano, Anthony John

2012-01-01T23:59:59.000Z

64

Avian Monitoring and Risk Assessment at the Tehachapi Pass Wind Resource Area; Period of Performance: October 2, 1996--May 27, 1998  

SciTech Connect

Observations of dead raptors at the Altamont Pass Wind Resource Area triggered concerns on the parts of regulatory agencies, environmental/conservation groups, wildlife resource agencies, and wind and electric utility industries about possible impacts to birds from wind energy development. Bird fatality rates observed at most wind projects are not currently considered significant to individual bird species populations. Although many bird species have observed fatalities, raptors have received the most attention. The primary objective of this study was to estimate and compare bird utilization, fatality rates, and collision risk indices among factors such as bird taxonomic groups, turbine types, and turbine locations within the operating wind plant in the Tehachapi Pass WRA, in south-central California between October 1996 and May 1998.

Anderson, R.; Neumann, N.; Tom, J.; Erickson, W. P.; Strickland, M. D.; Bourassa, M.; Bay, K. J.; Sernka, K. J.

2004-09-01T23:59:59.000Z

65

Historical Antarctic mean sea ice area, sea ice trends, and winds in CMIP5 simulations  

E-Print Network (OSTI)

In contrast to Arctic sea ice, average Antarctic sea ice area is not retreating but has slowly increased since satellite measurements began in 1979. While most climate models from the Coupled Model Intercomparison Project ...

Mahlstein, Irina

66

Wind-Field and Pollutant Mass-Flow Simulation over an Urban Area  

Science Journals Connector (OSTI)

The air quality level and its trend in large urban areas are generally deduced from a network of fixed monitoring stations, whose number and distribution depend mostly on economic and local policy factors. Loc...

G. Clerici; S. Sandroni; L. Santomauro

1985-01-01T23:59:59.000Z

67

Determination of fault operation dynamical constraints for the design of wind turbine DFIG drives  

Science Journals Connector (OSTI)

This paper presents an efficient design tool for the estimation of the transient electromagnetic peak torque and transient rotor over-voltages of wind turbines (WT) doubly-fed induction generators (DFIG) during severe fault conditions on the grid side. ... Keywords: Dynamical constraint, Integrated design, Non-linear optimization, Wind turbine

Davide Aguglia; Philippe Viarouge; Ren Wamkeue; Jrme Cros

2010-10-01T23:59:59.000Z

68

Voltage quality behaviour of a wind turbine based Remote Area Power System  

Science Journals Connector (OSTI)

The power quality behaviour of a Remote Area Power System (RAPS) consisting of a Doubly Fed Induction Generator (DFIG), its main loads and a dummy load is presented in this paper. The dummy load is used to maintain the power balance of the system under ...

Nishad Mendis; Kashem M. Muttaqi; Sarath Perera

2009-02-01T23:59:59.000Z

69

Wind Resource Assessment Overview | Open Energy Information  

Open Energy Info (EERE)

Wind Resource Assessment Overview Wind Resource Assessment Overview Jump to: navigation, search Maps.jpg The first step in developing a wind project is to locate and quantify the wind resource. The magnitude of the wind and the characteristics of the resource are the largest factors in determining a potential site's economic and technical viability. There are three basic steps to identifying and characterizing the wind resource: prospecting, validating, and micrositing. The process of locating sites for wind energy development is similar to exploration for other resources, such as minerals and petroleum. Thus, the term prospecting is often used to describe the identification and preliminary evaluation of a wind resource area. Prospecting includes identifying potentially windy sites within a fairly large region - such

70

COST EFFECTIVE SIMULATION OF THE HYBRID SOLAR/WIND AND DIESEL ENERGY SYSTEM IN RURAL AREA  

Science Journals Connector (OSTI)

This paper describes the optimization of a hybrid energy system model. Currently in Sarawak people living in the rural areas still depend on diesel generators to generate electricity. This increases the demand for fossil fuel creates noise pollution and toxic gas is emitted to the environment. Hence hybrid energy systems were introduced to replace this conventional energy system as well as improving the living standard in the villages. In this paper several hybrid energy system configurations were investigated in order to find out the most cost effective hybrid system through Hybrid Optimization Model for Electric Renewability (Homer) software. Homer simulates optimizes and analyzes the sensitivity variables for each of the system configurations.

Ee. Y. Sim; Nader Barsoum

2008-01-01T23:59:59.000Z

71

Design of Wind Turbines in an Area with Tropical Cyclones Niels-Erik Clausen, niels-erik.clausen@risoe.dk, Sren Ott, Niels-Jacob Tarp-Johansen, Per Nrgrd and  

E-Print Network (OSTI)

Design of Wind Turbines in an Area with Tropical Cyclones Niels-Erik Clausen, niels and cost of wind turbines is influenced by a combination of fatigue and extreme loads and the applied design codes. In general wind turbines are designed for 20 years of operation using design standards

72

New Approach to Determine the Need for Operating Reserves in Electricity Markets with Wind Power  

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

The amount of wind power in current electricity supply portfolios around the world is rapidly increasing. To help ensure the power system's reliability and adequacy, grid operators are actively pursuing the development of new rules that fully consider the characteristics of wind power with its variability and forecasting errors. In an article published in the January 2013 issue of IEEE Transactions on Power Systems, researchers at DOE's Argonne National Laboratory are proposing a new concept for operating reserves to help address the challenges of incorporating larger quantities of renewable energy resources into the nation's power grid.

73

The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations the Northern Study Area.  

SciTech Connect

This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times. A comprehensive analysis of wind energy forecast errors for the various model-based power forecasts was presented for a suite of wind energy ramp definitions. The results compiled over the year-long study period showed that the power forecasts based on the research models (ESRL_RAP, HRRR) more accurately predict wind energy ramp events than the current operational forecast models, both at the system aggregate level and at the local wind plant level. At the system level, the ESRL_RAP-based forecasts most accurately predict both the total number of ramp events and the occurrence of the events themselves, but the HRRR-based forecasts more accurately predict the ramp rate. At the individual site level, the HRRR-based forecasts most accurately predicted the actual ramp occurrence, the total number of ramps and the ramp rates (40-60% improvement in ramp rates over the coarser resolution forecast

Finley, Cathy [WindLogics

2014-04-30T23:59:59.000Z

74

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.

75

Wind Resource Maps (Postcard)  

SciTech Connect

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

76

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

77

WindPACT Turbine Design Scaling Studies Technical Area 2: Turbine, Rotor, and Blade Logistics; March 27, 2000 to December 31, 2000  

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

1 * NREL/SR-500-29439 1 * NREL/SR-500-29439 Kevin Smith Global Energy Concepts LLC Kirkland, Washington WindPACT Turbine Design Scaling Studies Technical Area 2: Turbine, Rotor, and Blade Logistics March 27, 2000 to December 31, 2000 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * * * * Battelle * * * * Bechtel Contract No. DE-AC36-99-GO10337 June 2001 * NREL/SR-500-29439 WindPACT Turbine Design Scaling Studies Technical Area 2: Turbine, Rotor, and Blade Logistics March 27, 2000 to December 31, 2000 Kevin Smith Global Energy Concepts LLC Kirkland, Washington NREL Technical Monitor: Alan Laxson Prepared under Subcontract No. YAM-0-30203-01 National Renewable Energy Laboratory

78

Stakeholder Engagement and Outreach: Offshore 90-Meter Wind Maps and Wind  

Wind Powering America (EERE)

Offshore 90-Meter Wind Maps and Wind Resource Potential Offshore 90-Meter Wind Maps and Wind Resource Potential The Stakeholder Engagement and Outreach initiative provides 90-meter (m) height, high-resolution wind maps and estimates of the total offshore wind potential that would be possible from developing the available offshore areas. The offshore wind resource maps can be used as a guide to identify regions for commercial wind development. A map of the United States showing offshore wind resource. Washington offshore wind map. Oregon offshore wind map. California offshore wind map. Texas offshore wind map. Minnesota offshore wind map. Lousiana offshore wind map. Wisconsin offshore wind map. Michigan offshore wind map. Michigan offshore wind map. Illinois offshore wind map. Indiana offshore wind map. Ohio offshore wind map. Georgia offshore wind map. South Carolina offshore wind map. North Carolina offshore wind map. Virginia offshore wind map. Maryland offshore wind map. Pennsylvania offshore wind map. Delaware offshore wind map. New Jersey offshore wind map. New York offshore wind map. Maine offshore wind map. Massachusetts offshore wind map. Rhode Island offshore wind map. Connecticut offshore wind map. Hawaii offshore wind map. Delaware offshore wind map. New Hampshire offshore wind map.

79

New England Wind Forum: Issues Affecting Public Acceptance of Wind Energy  

Wind Powering America (EERE)

Issues Affecting Public Acceptance of Wind Energy Issues Affecting Public Acceptance of Wind Energy Wind farm proponents seek to identify locations with the greatest wind resource and the smallest population. This approach mitigates human interaction and impact whenever possible. Uninhabited areas are scarce in New England, however. Due to the region's population density, many of the region's windy locations - which include coastal areas and high elevations - are in view of nearby communities or valued for their natural beauty or recreational value. As a result, the importance of public acceptance is magnified in determining the viability of wind power installations. Further complicating public acceptance of wind power installations is the local nature of wind project impacts compared to wind power's substantial benefits. All forms of energy have impacts on their surroundings, and our society requires power plants to satisfy its demand for electricity. On a regional and broader scale, wind power's benefits are considerable, and surveys show that the majority of the population supports wind power when compared to the alternatives. In light of these benefits and the broad public support, some communities focus on the question of "compared to what?" and then embrace wind power proposals.

80

SAT-WIND project Final report  

E-Print Network (OSTI)

-2840 ISBN 87-550-3570-1 The SAT-WIND project `Winds from satellites for offshore and coastal wind energy) technologies for wind energy tools for wind resources and wind-indexing. The study area was the Danish Seas microwave polarimetric 223.3.1 History 3.3.2 Measurement principle 22 223.3.3 WindSat (passive microwave

Note: This page contains sample records for the topic "determine area wind" 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

WINDExchange: Wind Potential Capacity  

Wind Powering America (EERE)

area with a gross capacity factor1 of 35% and higher, which may be suitable for wind energy development. AWS Truepower LLC produced the wind resource data with a spatial...

82

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

83

Determining Wind Turbine Gearbox Model Complexity Using Measurement Validation and Cost Comparison: Preprint  

SciTech Connect

The Gearbox Reliability Collaborative (GRC) has conducted extensive field and dynamometer test campaigns on two heavily instrumented wind turbine gearboxes. In this paper, data from the planetary stage is used to evaluate the accuracy and computation time of numerical models of the gearbox. First, planet-bearing load and motion data is analyzed to characterize planetary stage behavior in different environments and to derive requirements for gearbox models and life calculations. Second, a set of models are constructed that represent different levels of fidelity. Simulations of the test conditions are compared to the test data and the computational cost of the models are compared. The test data suggests that the planet-bearing life calculations should be made separately for each bearing on a row due to unequal load distribution. It also shows that tilting of the gear axes is related to planet load share. The modeling study concluded that fully flexible models were needed to predict planet-bearing loading in some cases, although less complex models were able to achieve good correlation in the field-loading case. Significant differences in planet load share were found in simulation and were dependent on the scope of the model and the bearing stiffness model used.

LaCava, W.; Xing, Y.; Guo, Y.; Moan, T.

2012-04-01T23:59:59.000Z

84

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

85

Wind speed estimation using multilayer perceptron  

Science Journals Connector (OSTI)

Abstract Wind speed knowledge is prerequisite in the siting of wind turbines. In consequence the wind energy use requires meticulous and specified knowledge of the wind characteristics at a location. This paper presents a method for determining the annual average wind speed at a complex terrain site by using neural networks, when only short term data are available for that site. This information is useful for preliminary calculations of the wind resource at a remote area having only a short time period of wind measurements measurement in a site. Artificial neural networks are useful for implementing non-linear process variables over time, and therefore are a useful tool for estimating the wind speed. The neural network used is multilayer perceptron with three layers and the supervised learning algorithm used is backpropagation. The inputs used in the neural network were wind speed and direction data from a single station, and the training patterns used correspond to sixty days data. The results obtained by simulating the annual average wind speed at the selected site based on data from nearby stations with correlation coefficients above 0.5 were satisfactory, compared with actual values. Reliable estimations were obtained, with errors below 6%.

Ramn Velo; Paz Lpez; Francisco Maseda

2014-01-01T23:59:59.000Z

86

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

87

Determining appropriate forestry extension model: Application of AHP in the Zagros area, Iran  

Science Journals Connector (OSTI)

Determining an appropriate forestry extension model remains as a major challenge if sustainable forest management is a goal. This article was an attempt to show how the analytical hierarchy process can effectively be helpful in selecting appropriate model for forestry extension. The results revealed that the present situation fails to regard the privatized extension as an appropriate model for the Zagros area in Iran. The results also showed while the beneficiaries select cooperative extension system as the most appropriate model, it has no tangible difference with public extension system as the second preferred option. Accordingly, a hybrid forestry extension model was recommended as an appropriate model.

Davood Samari; Hossein Azadi; Kiumars Zarafshani; Gholamhossein Hosseininia; Frank Witlox

2012-01-01T23:59:59.000Z

88

AREA  

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

AREA AREA FAQ # Question Response 316 vs DCAA FAQ 1 An inquiry from CH about an SBIR recipient asking if a DCAA audit is sufficient to comply with the regulation or if they need to add this to their audit they have performed yearly by a public accounting firm. 316 audits are essentially A-133 audits for for-profit entities. They DO NOT replace DCAA or other audits requested by DOE to look at indirect rates or incurred costs or closeouts. DCAA would never agree to perform A-133 or our 316 audits. They don't do A-133 audits for DOD awardees. The purpose of the audits are different, look at different things and in the few instances of overlap, from different perspectives. 316

89

BACKGROUND AND PURPOSE In hilly areas and climates prone to local controls, thermally-induced wind systems develop (e.g., Fernando et al, 2001 and Hunt et al, In Review). Two "transitions" occur morning and evening when winds reverse from downvalley to  

E-Print Network (OSTI)

BACKGROUND AND PURPOSE In hilly areas and climates prone to local controls, thermally-induced wind and at the west end of the lake. A complete energy budget set of sensors are recording diurnal data and records

Hall, Sharon J.

90

LARGE SCALE WIND CLIMATOLOGICAL EXAMINATIONS OF WIND ENERGY UTILIZATION  

E-Print Network (OSTI)

The aim of this article is to describe the particular field of climatology which analyzes air movement characteristics regarding utilization of wind for energy generation. The article describes features of wind energy potential available in Hungary compared to wind conditions in other areas of the northern quarter sphere in order to assist the wind energy use development in Hungary. Information on wind climate gives a solid basis for financial and economic decisions of stakeholders in the field of wind energy utilization.

Andrea Kircsi

91

Hualapai Wind Project Feasibility Report  

SciTech Connect

The Hualapai Department of Planning and Economic Development, with funding assistance from the U.S. Department of Energy, Tribal Energy Program, with the aid of six consultants has completed the four key prerequisites as follows: 1. Identify the site area for development and its suitability for construction. 2. Determine the wind resource potential for the identified site area. 3. Determine the electrical transmission and interconnection feasibility to get the electrical power produced to the marketplace. 4. Complete an initial permitting and environmental assessment to determine the feasibility for getting the project permitted. Those studies indicated a suitable wind resource and favorable conditions for permitting and construction. The permitting and environmental study did not reveal any fatal flaws. A review of the best power sale opportunities indicate southern California has the highest potential for obtaining a PPA that may make the project viable. Based on these results, the recommendation is for the Hualapai Tribal Nation to move forward with attracting a qualified wind developer to work with the Tribe to move the project into the second phase - determining the reality factors for developing a wind project. a qualified developer will bid to a utility or negotiate a PPA to make the project viable for financing.

Davidson, Kevin [Hualapai Tribe] [Hualapai Tribe; Randall, Mark [Daystar Consulting] [Daystar Consulting; Isham, Tom [Power Engineers] [Power Engineers; Horna, Marion J [MJH Power Consulting LLC] [MJH Power Consulting LLC; Koronkiewicz, T [SWCA Environmental, Inc.] [SWCA Environmental, Inc.; Simon, Rich [V-Bar, LLC] [V-Bar, LLC; Matthew, Rojas [Squire Sanders Dempsey] [Squire Sanders Dempsey; MacCourt, Doug C. [Ater Wynne, LLP] [Ater Wynne, LLP; Burpo, Rob [First American Financial Advisors, Inc.] [First American Financial Advisors, Inc.

2012-12-20T23:59:59.000Z

92

Wind Power Career Chat  

SciTech Connect

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

93

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

94

Analyzing Wind Power Potential in Cauvery Delta Areas for Implementation of Renewable Energy based Standalone Pumping System for Irrigation  

Science Journals Connector (OSTI)

Abstract The power demand plays vital role in economic development of the country. Industrial development is mainly depending on power .Tamilnadu faces severe power demand of around 18 percent and the Wind power generation is not utilized properly because of the weak grid and lack of energy storage units. For the agriculture the power is free of cost .This paper suggests the innovative non grid high power pumping system for irrigation to reduce the demand on grid and to improve the economy of Tamilnadu Electricity board.

B. Shanthi saravana; V. Rajini; A. Paramasivam

2013-01-01T23:59:59.000Z

95

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

96

The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations the Southern Study Area  

SciTech Connect

This Final Report presents a comprehensive description, findings, and conclusions for the Wind Forecast Improvement Project (WFIP)--Southern Study Area (SSA) work led by AWS Truepower (AWST). This multi-year effort, sponsored by the Department of Energy (DOE) and National Oceanographic and Atmospheric Administration (NOAA), focused on improving short-term (15-minute 6 hour) wind power production forecasts through the deployment of an enhanced observation network of surface and remote sensing instrumentation and the use of a state-of-the-art forecast modeling system. Key findings from the SSA modeling and forecast effort include: 1. The AWST WFIP modeling system produced an overall 10 20% improvement in wind power production forecasts over the existing Baseline system, especially during the first three forecast hours; 2. Improvements in ramp forecast skill, particularly for larger up and down ramps; 3. The AWST WFIP data denial experiments showed mixed results in the forecasts incorporating the experimental network instrumentation; however, ramp forecasts showed significant benefit from the additional observations, indicating that the enhanced observations were key to the model systems ability to capture phenomena responsible for producing large short-term excursions in power production; 4. The OU CAPS ARPS simulations showed that the additional WFIP instrument data had a small impact on their 3-km forecasts that lasted for the first 5-6 hours, and increasing the vertical model resolution in the boundary layer had a greater impact, also in the first 5 hours; and 5. The TTU simulations were inconclusive as to which assimilation scheme (3DVAR versus EnKF) provided better forecasts, and the additional observations resulted in some improvement to the forecasts in the first 1 3 hours.

Freedman, Jeffrey M.; Manobianco, John; Schroeder, John; Ancell, Brian; Brewster, Keith; Basu, Sukanta; Banunarayanan, Venkat; Hodge, Bri-Mathias; Flores, Isabel

2014-04-30T23:59:59.000Z

97

Demonstration of wind turbine. Final technical report at grant program  

SciTech Connect

Proposal F-602 is a demonstration of a commercially available wind-electric device - an Enertech Corp. Series 1800 model wind turbine. The demonstration site selected was the New Directions school campus, a public school facility, in Sarasota, Florida. During testing, an investigation of the wind power potential for the area was undertaken. In addition, negotiations with the Florida Power and Light Company for parallel operation of the wind system (utility interface), were initiated. An Operating Agreement contract is now pending approval by the Sarasota County School Board. The results to date, of this site's wind power potential, have been well below computational expectancies based upon wind speed data for the area. Analysis will continue, to determine the cause of the windplant's low net output.

Pendola, W. Jr.

1982-06-01T23:59:59.000Z

98

Canadian Wind Energy Atlas Potential Website | Open Energy Information  

Open Energy Info (EERE)

Canadian Wind Energy Atlas Potential Website Canadian Wind Energy Atlas Potential Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Canadian Wind Energy Atlas Potential Website Focus Area: Renewable Energy Topics: Opportunity Assessment & Screening Website: www.windatlas.ca/en/index.php Equivalent URI: cleanenergysolutions.org/content/canadian-wind-energy-atlas-potential- Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance Environment Canada's Wind Energy Atlas website aims at developing new meteorological tools to be used by Canada's wind energy industry. It offers the possibility to browse through the results of the numerical simulations that were run on all of Canada in order to determine its wind energy potential. Consultants and the general public will find valuable data about

99

Area mining of a mountaintop: a methodology for determining approximate original contour  

SciTech Connect

The Surface Mining Control and Reclamation Act (P. L. 95-87) and the regulations promulgated therefrom do not precisely define approximate original contour (AOC). Congressional intent was not that the backfilling operation attain the pre-mine elevation as much as it was to blend with surrounding topography. As a result, determining acceptable postmining backfill configurations has been interpreted differently by permitting authorities, industry, and environmental action groups. This paper consolidates the regulations and other considerations applicable to AOC in area mining of mountaintops, including stability, hydrology, ecology, aesthetics, and land use. Each approach is evaluated and it is demonstrated that a combination of approaches is the most feasible means to satisfy the legal, geotechnical and environmental requirements. A conclusion proposes policies which might be utilized by a regulatory authority to approve permits.

Robinson, M.K.; Borda, A.B.; Holbrook, J.A. II; Dougherty, M.T.

1980-12-01T23:59:59.000Z

100

Offshore Wind Research (Fact Sheet), National Wind Technology Center (NWTC)  

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

Offshore Offshore Wind Research The National Renewable Energy Laboratory is internationally recognized for offshore wind energy research and development (R&D). Its experience and capabilities cover a wide spectrum of wind energy disciplines. NREL's offshore wind R&D efforts focus on critical areas that address the long-term needs of the offshore wind energy industry and the Department of Energy (DOE). R&D efforts include: * Developing offshore design tools and methods * Collaborating with international partners * Testing offshore systems and developing standards * Conducting economic analyses * Characterizing offshore wind resources * Identifying and mitigating offshore wind grid integration challenges and barriers NREL documented the status of offshore wind energy in the United

Note: This page contains sample records for the topic "determine area wind" 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

Double-stage genetic algorithm for wind farm layout optimization on complex terrains  

Science Journals Connector (OSTI)

This paper deals with the problem of optimal wind turbine micro siting on complex terrains. A realistic wind farm terrain can be very complex not only for the topography of the terrain but also for other factors. Such factors are the environmental impact of the wind farm the costs of land the costs of access roads wind turbine installation and maintenance costs the costs of electrical infrastructure etc. A grid-based wind farm model that takes all of these factors into consideration is proposed. For the purpose of an optimization algorithm a double-stage genetic algorithm is proposed. In the first stage the optimal micro-areas for wind turbine positioning are determined whereas the second stage defines precise optimal positions of wind turbine foundations. The double-stage genetic algorithm increases the accuracy of wind turbine positioning and decreases the dimensionality of the problem. The algorithm has been tested on a realistic wind farm terrain in Serbia.

Goran Dobri?

2014-01-01T23:59:59.000Z

102

WP2 IEA Wind Task 26:The Past and Future Cost of Wind Energy  

E-Print Network (OSTI)

wind resource class areas could also include limited transmission availability, environmental and wildlife

Lantz, Eric

2014-01-01T23:59:59.000Z

103

A new hybrid pneumatic combustion engine to improve fuel consumption of windDiesel power system for non-interconnected areas  

Science Journals Connector (OSTI)

This paper presents an evaluation of an optimized Hybrid Pneumatic-Combustion Engine (HPCE) concept that permits reducing fuel consumption for electricity production in non-interconnected remote areas, originally equipped with hybrid WindDiesel System (WDS). Up to now, most of the studies on the pneumatic hybridization of Internal Combustion Engines (ICE) have dealt with two-stroke pure pneumatic mode. The few studies that have dealt with hybrid pneumatic-combustion four-stroke mode require adding a supplementary valve to charge compressed air in the combustion chamber. This modification means that a new cylinder head should be fabricated. Moreover, those studies focus on spark ignition engines and are not yet validated for Diesel engines. Present HPCE is capable of making a Diesel engine operate under two-stroke pneumatic motor mode, two-stroke pneumatic pump mode and four-stroke hybrid mode, without needing an additional valve in the combustion chamber. This fact constitutes this studys strength and innovation. The evaluation of the concept is based on ideal thermodynamic cycle modeling. The optimized valve actuation timings for all modes lead to generic maps that are independent of the engine size. The fuel economy is calculated for a known site during a whole year, function of the air storage volume and the wind power penetration rate.

Tammam Basbous; Rafic Younes; Adrian Ilinca; Jean Perron

2012-01-01T23:59:59.000Z

104

Wind energy  

Science Journals Connector (OSTI)

Wind energy is rapidly growing. In 2006 the installed generating capacity in the world increased by 25%, a growth rate which has more or less been sustained during the last decade. And there is no reason to believe that this growth will slow significantly in the coming years. For example, the United Kingdom's goal for installed wind turbines by 2020 is 33GW up from 2GW in 2006, an average annual growth rate of 22% over that period. More than half of all turbines are installed in Europe, but United States, India and lately China are also rapidly growing markets. The cradle of modern wind energy was set by innovative blacksmiths in rural Denmark. Now the wind provides more than 20% of the electrical power in Denmark, the industry has professionalized and has close ties with public research at universities. This focus issue is concerned with research in wind energy. The main purposes of research in wind energy are to: decrease the cost of power generated by the wind; increase the reliability and predictability of the energy source; investigate and reduce the adverse environmental impact of massive deployment of wind turbines; build research based educations for wind energy engineers. This focus issue contains contributions from several fields of research. Decreased costs cover a very wide range of activities from aerodynamics of the wind turbine blades, optimal site selection for the turbines, optimization of the electrical grid and power market for a fluctuating source, more efficient electrical generators and gears, and new materials and production techniques for turbine manufacturing. The United Kingdom recently started the construction of the London Array, a 1GW off-shore wind farm east of London consisting of several hundred turbines. To design such a farm optimally it is necessary to understand the chaotic and very turbulent flow downwind from a turbine, which decreases the power production and increases the mechanical loads on other nearby turbines. Also addressed within the issue is how much conventional power production can be replaced by the ceaseless wind, with the question of how Greece's target of 29% renewables by 2020 is to be met efficiently. Other topics include an innovative way to determine the power curve of a turbine experimentally more accurately, the use of fluid dynamics tools to investigate the implications of placing vortex generators on wind turbine blades (thereby possibly improving their efficiency) and a study of the perception of wind turbine noise. It turns out that a small but significant fraction of wind turbine neighbours feel that turbine generated noise impairs their ability to rest. The annoyance is correlated with a negative attitude towards the visual impact on the landscape, but what is cause and effect is too early to say. As mentioned there is a rush for wind turbines in many countries. However, this positive development for the global climate is currently limited by practical barriers. One bottleneck is the difficulties for the sub-suppliers of gears and other parts to meet the demand. Another is the difficulties to meet the demand for engineers specialized in wind. For that reason the Technical University of Denmark (DTU) recently launched the world's first Wind Energy Masters Program. Here and elsewhere in the world of wind education and research we should really speed up now, as our chances of contributing to emission free energy production and a healthier global climate have never been better. Focus on Wind Energy Contents The articles below represent the first accepted contributions and further additions will appear in the near future. Wind turbineslow level noise sources interfering with restoration? EjaPedersen andKerstin PerssonWaye On the effect of spatial dispersion of wind power plants on the wind energy capacity credit in Greece GeorgeCaralis, YiannisPerivolaris, KonstantinosRados andArthourosZervos Large-eddy simulation of spectral coherence in a wind turbine wake AJimenez, ACrespo, EMigoya andJGarcia How to improve the estimation of

Jakob Mann; Jens Nrkr Srensen; Poul-Erik Morthorst

2008-01-01T23:59:59.000Z

105

Determining the local acceptance of wind energy projects in Switzerland: The importance of general attitudes and project characteristics  

Science Journals Connector (OSTI)

Abstract This article explores the relationship between general attitudes toward wind energy, local acceptance of specific wind projects and respective intentions to act on those attitudes in Switzerland. Its primary instrument of data collection was a survey experiment with 919 citizens in five Swiss rural municipalities with potential wind sites. The survey presented descriptions of several potential wind projects. Participants rated their acceptance and intention to act for each wind project, as well as their general attitude toward wind energy. Results showed that general attitude is a strong predictor of local acceptance but is rated significantly higher than local acceptance. When matched with the effects of three procedural and distributive justice measures on local acceptance, the results of the study seem to support the concept of Qualified Support: local acceptance by participants with a moderate or positive general attitude is dependent on the associated local benefits, while local acceptance by participants with a negative attitude is not. Interestingly, the study also finds that general attitude and local acceptance both had only minimal effects on respective intentions to act. Thus, researchers should be aware of cognitive and behavioral aspects of local acceptance and seek to better distinguish between these two dimensions.

Gtz Walter

2014-01-01T23:59:59.000Z

106

ARM - Evaluation Product - Derived Wind Profiles from Doppler...  

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

the radial velocity data; the amplitude, phase and offset of the sinusoid determine the wind speed, wind direction and vertical velocity, respectively. The derived winds are...

107

Definition: Wind power | Open Energy Information  

Open Energy Info (EERE)

Wind power Wind power Jump to: navigation, search Dictionary.png Wind power The amount of power available to a wind turbine depends on: air density, wind speed and the swept area of the rotor. While the power is proportional to air density and swept area, it varies with the cube of wind speed, so small changes in wind speed can have a relatively large impact on wind power.[1] View on Wikipedia Wikipedia Definition Wind power is the conversion of wind energy into a useful form of energy, such as using wind turbines to make electrical power, windmills for mechanical power, windpumps for water pumping or drainage, or sails to propel ships. Large wind farms consist of hundreds of individual wind turbines which are connected to the electric power transmission network. Offshore wind is steadier and stronger than on land, and offshore farms

108

Wind derivatives: hedging wind risk:.  

E-Print Network (OSTI)

??Wind derivatives are financial contracts that can be used to hedge or mitigate wind risk. In this thesis, the focus was on pricing these wind (more)

Hoyer, S.A.

2013-01-01T23:59:59.000Z

109

Wind News | Department of Energy  

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

Wind News Wind News Wind News RSS February 7, 2011 Salazar, Chu Announce Major Offshore Wind Initiatives Strategic plan, $50 million in R&D funding, identified Wind Energy Areas will speed offshore wind energy development December 16, 2010 Department of Energy Finalizes Loan Guarantee to Support World's Largest Wind Project 845-Megawatt Wind Facility Will Create Hundreds of Jobs and Avoid Over 1.2 Million Tons of Carbon Dioxide Annually October 29, 2010 Statement by Energy Secretary Steven Chu on Today's Grand Opening of the Nordex Manufacturing Facility in Jonesboro, Arkansas Recovery Act investment creates jobs, helps lay the foundation for a clean energy economy September 13, 2010 DOE Announces More than $5 Million to Support Wind Energy Development Funds to Enhance Short-Term Wind Forecasting and Accelerate Midsize Wind

110

Analysis of Temporal and Spatial Characteristics on Output of Wind Farms with Doubly Fed Induction Generator Wind Turbines  

Science Journals Connector (OSTI)

Due to the large number of wind turbines and covering too large area in a large wind farm, wake effects among wind turbines and wind speed time delays will have a greater impact of wind farms models. Taking wind farms with doubly fed induction generator(DFIG) ... Keywords: wind farm, modeling, temporal and spatial characteristics, DFIG, output characteristics

Shupo Bu; Xunwen Su

2012-12-01T23:59:59.000Z

111

Wind Energy Resource Atlas of Armenia  

SciTech Connect

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

112

Vertical axis wind turbine acoustics  

E-Print Network (OSTI)

Vertical Axis Wind Turbine Acoustics Charlie Pearson Corpus Christi College Cambridge University Engineering Department A thesis submitted for the degree of Doctor of Philosophy September 2013 Declaration Described in this dissertation is work... quickly to changing wind conditions, small- scale vertical axis wind turbines (VAWTs) have been proposed as an efficient solution for deployment in built up areas, where the wind is more gusty in nature. If VAWTs are erected in built up areas...

Pearson, Charlie

2014-04-08T23:59:59.000Z

113

E-Print Network 3.0 - area determines forest Sample Search Results  

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

Virginia Tech Collection: Environmental Sciences and Ecology 3 Linking STATSGO and FIA data for spatial and temporal analyses of carbon storage in forested land areas Summary:...

114

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

115

A GIS study for determining hurricane risk areas and estimating population, Texas Coastal Counties  

E-Print Network (OSTI)

The objectives of this study are to create and implement a new Geographic Information System (GIS) for the definition of areas along the Texas coast at risk from hurricane impacts and to estimate populations for those areas. The threat to lives...

Blakely, Christopher Todd

2012-06-07T23:59:59.000Z

116

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

E-Print Network (OSTI)

other assumptions for wind power to determine which onesused in NEMS regarding wind power to determine their impact

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

2001-01-01T23:59:59.000Z

117

NREL: Wind Research - Facilities  

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

Facilities Facilities Our facilities are designed to meet the wind industry's critical research needs with state-of-the-art design and testing facilities. NREL's unique and highly versatile facilities at the National Wind Technology Center offer research and analysis of wind turbine components and prototypes rated from 400 watts to 3 megawatts. Satellite facilities support the growth of wind energy development across the United States. National Wind Technology Center Facilities Our facilities are contained within a 305-acre area that comprises field test sites, test laboratories, industrial high-bay work areas, machine shops, electronics and instrumentation laboratories, and office areas. In addition, there are hundreds of test articles and supporting components such as turbines, meteorological towers, custom test apparatus, test sheds,

118

Investigation of wind characteristics and wind energy potential at Ras Ghareb, Egypt  

Science Journals Connector (OSTI)

To study the structure of a coastal location Ras Ghareb on the Red Sea in Egypt, a measurement station with mast of 24.5m has been established in a built-up area, near the seashore. First, a statistical analysis of the measured data over the period 20002005 was performed, including calculation of the wind speed power law index which was found to be 0.18 for Ras Ghareb area. Then, wind speed data was expressed at the height of (usually 10m) which makes it directly related to the objective of those people working in the renewable energy sector. Therefore, the mean wind speeds, availability of data, seasonal variation and the distribution by the wind direction were studied to ascertain its potential for wind energy development. The annual wind speed over this site varies from 8.3 to 9.8m/s at 10 and 24.5m heights, respectively. Most of the time 73% the mean wind speed in the ranges 510 and 1017m/s at 10m. Also, higher winds of the order 10m/s and more observed during summer months. The main wind direction is northnorthwest sector (330) for about 51% of the times during the year that makes it unique for installation of wind parks. Second, numerical estimations to determine the seasonal power law coefficient and Weibull parameters at different heights from 10 to 100m were carried out. Finally, Rayleigh distribution and our method stated in Ref. [3] were adopted for defining the monthly wind power available at 10m height for this region. It is emphasized that Rayleigh model is not appropriate and our method is more efficient for Ras Ghareb area. Where the expected mean of wind power density was found to quite high 360W/m2 per year at 10m hub height, which makes this station likely candidates for wind power utilization. It is appear from our analysis that Ras Ghareb region can be explored for generating the electricity. Where the monthly and annual pattern of wind speed matches the electricity load pattern of the location.

Ahmed Shata Ahmed

2011-01-01T23:59:59.000Z

119

Blown in the wind: bats and wind farms in Brazil  

Science Journals Connector (OSTI)

Abstract The number of wind turbines in operation in Brazil will triple in five years, raising concern for the conservation of Brazilian bats. We analyzed the status of bat species richness and occurrence in areas with high wind potential in Brazil. By crossing datasets on species records and wind potential we identified 21 hotspots and 226 data gap areas. Overall, 70% of the areas with the highest wind potential are data gaps, lacking elementary information about species presence. Current Environment Impact Assessments system for wind farms in Brazil has relaxed regulations and questionable effectiveness. Environmental agencies should require de facto Environment Impact Assessments in data gap areas, with technical rigor proportional to the investment under course. At least for bats, the Brazilian wind power sector must raise the bar, adopting a more rigorous licensing. Alliances to minimize bat mortality at wind farms are necessary and this goal should be pursued in Brazil.

Enrico Bernard; Adriana Paese; Ricardo Bomfim Machado; Ludmilla Moura de Souza Aguiar

2014-01-01T23:59:59.000Z

120

Wind Tunnel Studies of Martian Aeolian Processes  

Science Journals Connector (OSTI)

10 December 1974 research-article Wind Tunnel Studies of Martian Aeolian Processes...investigation is in progress which involves wind tunnel simulations, geologic field studies...aerodynamic lift and surface roughness. Wind tunnel simulations were conducted to determine...

1974-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "determine area wind" 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

Are global wind power resource estimates overstated?  

Science Journals Connector (OSTI)

Estimates of the global wind power resource over land range from 56 to 400TW. Most estimates have implicitly assumed that extraction of wind energy does not alter large-scale winds enough to significantly limit wind power production. Estimates that ignore the effect of wind turbine drag on local winds have assumed that wind power production of 24Wm?2 can be sustained over large areas. New results from a mesoscale model suggest that wind power production is limited to about 1Wm?2 at wind farm scales larger than about 100km2. We find that the mesoscale model results are quantitatively consistent with results from global models that simulated the climate response to much larger wind power capacities. Wind resource estimates that ignore the effect of wind turbines in slowing large-scale winds may therefore substantially overestimate the wind power resource.

Amanda S Adams; David W Keith

2013-01-01T23:59:59.000Z

122

NANA Wind Resource Assessment Program Final Report  

SciTech Connect

NANA Regional Corporation (NRC) of northwest Alaska is located in an area with abundant wind energy resources. In 2007, NRC was awarded grant DE-FG36-07GO17076 by the US Department of Energy's Tribal Energy Program for funding a Wind Resource Assessment Project (WRAP) for the NANA region. The NANA region, including Kotzebue Electric Association (KEA) and Alaska Village Electric Cooperative (AVEC) have been national leaders at developing, designing, building, and operating wind-diesel hybrid systems in Kotzebue (starting in 1996) and Selawik (2002). Promising sites for the development of new wind energy projects in the region have been identified by the WRAP, including Buckland, Deering, and the Kivalina/Red Dog Mine Port Area. Ambler, Shungnak, Kobuk, Kiana, Noorvik & Noatak were determined to have poor wind resources at sites in or very near each community. However, all five of these communities may have better wind resources atop hills or at sites with slightly higher elevations several miles away.

Jay Hermanson

2010-09-23T23:59:59.000Z

123

CX-000860: Categorical Exclusion Determination | Department of Energy  

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

0: Categorical Exclusion Determination 0: Categorical Exclusion Determination CX-000860: Categorical Exclusion Determination 25A2756 - Breakthrough High Efficiency Shrouded Wind Turbine CX(s) Applied: B3.6 Date: 01/14/2010 Location(s): Massachusetts Office(s): Advanced Research Projects Agency - Energy FloDesign Wind?s Mixer Ejector Wind Turbine is a new, shrouded, axial-flow wind turbine capable of delivering significantly more energy per unit swept area with greatly reduced rotor loading as compared to existing horizontal axis wind turbines and current duct augmented wind turbines. The lower loads, smaller rotor and shrouded concept provide significant opportunity for mass production and other cost reduction manufacturing techniques. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-000860.pdf More Documents & Publications

124

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 Journals Connector (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 (Hvsre) in western Denmark using the ...

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

2013-05-01T23:59:59.000Z

125

Ex Post Analysis of Economic Impacts from Wind Power Development in U.S. Counties  

E-Print Network (OSTI)

use requirements of modern wind power plants in the Unitedrural areas, where wind power plants are often constructedimpacts of actual wind power plants (e.g. ,Pedden, 2006;

Brown, Jason P.

2014-01-01T23:59:59.000Z

126

Ex post analysis of economic impacts from wind power development in U.S. counties  

E-Print Network (OSTI)

use requirements of modern wind power plants in the Unitedrural areas, where wind power plants are often constructedimpacts of actual wind power plants (e.g. ,Pedden, 2006;

Brown, Jason P

2014-01-01T23:59:59.000Z

127

WIND ENERGY Wind Energ. (2014)  

E-Print Network (OSTI)

WIND ENERGY Wind Energ. (2014) Published online in Wiley Online Library (wileyonlinelibrary Correspondence M. Wächter, ForWind-Center for Wind Energy Research, Institute of Physics, Carl Von Ossietzky on the operation of wind energy converters (WECs) imposing different risks especially in terms of highly dynamic

Peinke, Joachim

128

wind energy  

National Nuclear Security Administration (NNSA)

5%2A en Pantex to Become Wind Energy Research Center http:nnsa.energy.govfieldofficesnponpopressreleasespantex-become-wind-energy-research-center

129

Study to determine the nature and extent of ozone and ozone precursor transport in selected areas of California. Final report  

SciTech Connect

The project was designed to assess the contribution of transported pollutants to violations of the state ozone standard within the air basins covered by the report using existing data and advanced data analysis techniques. The objectives of the project were to determine the characteristics of ozone and ozone precursor transport within the California air basins covered by the report and to identify whether the contribution of transported pollutants to ozone violations in each downwind area was inconsequential, significant, or overwhelming, relative to locally-emitted pollutants. The precursor pollutants of interest were nitrogen oxides and reactive organic gases. The project evaluated transport to the following areas: The Broader Sacramento Area and the Upper Sacramento Valley; The North Central Coast Air Basin; The Southeast Desert Air Basin (SEDAB); and the Imperial County portion of the SEDAB.

Roberts, P.T.; Musarra, S.; Smith, T.B.; Lurmann, F.W.

1992-04-01T23:59:59.000Z

130

Atmospheric structure and variability in areas of convective storms determined from 3-h rawinsonde data  

E-Print Network (OSTI)

changes in TTI determined from charts in Fig. 58. . 101 60 61 62 Cumulative frequency distributions of changes in TTI in AVE II . . ~ . . . . . ~ Surface analysis at 2100 GMT, 11 May 1974 Satellite and radar composite at 2200 GMT, 11 May 1974 102... change in the probability of convective activity by a factor of 8 or more in 3 h. Between 30% and 60% of the total changes in parameters associated with convective activity over a 12-h period is shown to take place during a 3-h period. These large...

Wilson, Gregory Sims

2012-06-07T23:59:59.000Z

131

ESTABLISHING A STEREOSCOPIC TECHNIQUE FOR DETERMINING THE KINEMATIC PROPERTIES OF SOLAR WIND TRANSIENTS BASED ON A GENERALIZED SELF-SIMILARLY EXPANDING CIRCULAR GEOMETRY  

SciTech Connect

The twin-spacecraft STEREO mission has enabled simultaneous white-light imaging of the solar corona and inner heliosphere from multiple vantage points. This has led to the development of numerous stereoscopic techniques to investigate the three-dimensional structure and kinematics of solar wind transients such as coronal mass ejections (CMEs). Two such methodstriangulation and the tangent to a spherecan be used to determine time profiles of the propagation direction and radial distance (and thereby radial speed) of a solar wind transient as it travels through the inner heliosphere, based on its time-elongation profile viewed by two observers. These techniques are founded on the assumption that the transient can be characterized as a point source (fixed ?, FP, approximation) or a circle attached to Sun-center (harmonic mean, HM, approximation), respectively. These geometries constitute extreme descriptions of solar wind transients, in terms of their cross-sectional extent. Here, we present the stereoscopic expressions necessary to derive propagation direction and radial distance/speed profiles of such transients based on the more generalized self-similar expansion (SSE) geometry, for which the FP and HM geometries form the limiting cases; our implementation of these equations is termed the stereoscopic SSE method. We apply the technique to two Earth-directed CMEs from different phases of the STEREO mission, the well-studied event of 2008 December and a more recent event from 2012 March. The latter CME was fast, with an initial speed exceeding 2000 km s{sup 1}, and highly geoeffective, in stark contrast to the slow and ineffectual 2008 December CME.

Davies, J. A.; Perry, C. H.; Harrison, R. A. [RAL Space, Rutherford Appleton Laboratory, Harwell Oxford, OX11 0QX (United Kingdom); Trines, R. M. G. M. [Central Laser Facility, Rutherford Appleton Laboratory, Harwell Oxford, OX11 0QX (United Kingdom); Lugaz, N. [Space Science Centre, University of New Hampshire, Durham, NH 03824 (United States); Mstl, C. [Space Science Laboratory, University of California, Berkeley, CA 94720 (United States); Liu, Y. D. [State Key Laboratory of Space Weather, National Space Science Centre, Chinese Academy of Sciences, Beijing 100190 (China); Steed, K., E-mail: jackie.davies@stfc.ac.uk [Centre for mathematical Plasma Astrophysics, KU Leuven, B-3001 Leuven (Belgium)

2013-11-10T23:59:59.000Z

132

Mitigating Wind-Radar Interference | Department of Energy  

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

mitigating radar interference caused by the physical and electromagnetic effects of wind turbines. These new mitigation technologies are expected to open up new areas to wind...

133

Sandia National Laboratories: Offshore Wind RD&D: Sediment Transport  

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

Wind RD&D: Sediment Transport Offshore Wind RD&D: Sediment Transport This project focuses on three technical areas Flow chart of sediment stability risk assessment methodology....

134

EIS-0485: Interconnection of the Grande Prairie Wind Farm, Holt...  

Energy Savers (EERE)

Interconnection of the Grande Prairie Wind Farm, Holt County, Nebraska EIS-0485: Interconnection of the Grande Prairie Wind Farm, Holt County, Nebraska SUMMARY DOE's Western Area...

135

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

136

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

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

Wind Powering America Webinar: Wind Power Economics: Past, Present, Wind Powering America Webinar: Wind 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 turbine prices in the United States have declined, on average, by nearly one-third since 2008, after doubling from 2002 through 2008. Over this entire period, the average nameplate capacity rating, hub height, and rotor swept area of turbines installed in the United States have increased significantly, while other design improvements have also boosted turbine energy production. In combination, these various trends have had a significant-and sometimes surprising-impact on the levelized cost of energy delivered by wind projects. This webinar will feature three related presentations that explore these

137

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

138

Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran)  

Science Journals Connector (OSTI)

Abstract The present study aimed to analyze the wind speed data of Firouzkooh region. For this purpose, the wind speed data for a 3-h period measuring over a 10-year period (20012010) were analyzed to calculate and estimate the wind power generation potential. Similar trends of the wind speeds were seen in different years where the highest and the lowest mean wind speeds belonged to May 2010 and June 2002, respectively. The diurnal wind speed analysis demonstrated that the fastest winds blew from 6 am to 3 pm. Weibull and Rayleigh distribution functions were applied to find out the best fitting tool to the wind speed data. Results showed that Weibull and Rayleigh distribution functions can fit the actual values of wind speed well with almost the same coefficient of determination value (R2) of 0.97. The average values of wind power based on mean and root mean cube speed approaches were 203 and 248Wm?2year?1, respectively indicating that Firouzkooh region stands in class 4 (which is a suitable area for wind turbine establishment). Finally, wind rose diagram revealed that the prevailing wind direction falls in the sector between 180 and 270 clockwise from North.

S.H. Pishgar-Komleh; A. Keyhani; P. Sefeedpari

2015-01-01T23:59:59.000Z

139

Alta Wind Energy Center | Open Energy Information  

Open Energy Info (EERE)

Alta Wind Energy Center Alta Wind Energy Center Address 10315 Oak Creek Road Place Mojave, California Zip 93501 Sector Wind energy Phone number 1-877-4WI-ND88 (1-877-494-6388) Website http://altawindenergycenter.co Region Southern CA Area References Alta Wind Energy Center[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! The Alta Wind Energy Center (AWEC) is located in the heart of one of the most proven wind resources in the United States - the Tehachapi-Mojave Wind Resource Area. Terra-Gen is developing the AWEC, California's largest wind energy project, adjacent to existing wind projects between the towns of Mojave and Tehachapi. Due to a welcoming community and the participation of a diverse group of landowners (private and public, local and non-local,

140

Analysis the Present Situation of Inner Mongolia Wind Power  

Science Journals Connector (OSTI)

The wind energy resource is rich and superior in the Inner Mongolia area. Wind power industry reach a preliminary scale. But with the wind power industry rapid development, appear some critical problems such as power

Linjing Hu; Dongmin Xi

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "determine area wind" 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

Wind Powering America Initiative (Fact Sheet)  

SciTech Connect

The U.S. Department of Energy's Wind Powering America initiative engages in technology market acceptance, barrier reduction, and technology deployment support activities. This fact sheet outlines ways in which the Wind Powering America team works to reduce barriers to appropriate wind energy deployment, primarily by focusing on six program areas: workforce development, communications and outreach, stakeholder analysis and resource assessment, wind technology technical support, wind power for Native Americans, and federal sector support and collaboration.

Not Available

2011-01-01T23:59:59.000Z

142

Estimated changes in wind speed and wind power density over the western High Plains, 19712000  

Science Journals Connector (OSTI)

This manuscript presents the results of research on the temporal patterns in wind speed and wind power density from 1971 to 2000. The ... Mountains in an area which has a proven wind power resource. Policies and ...

J. Scott Greene; Matthew Chatelain; Mark Morrissey

2012-08-01T23:59:59.000Z

143

Wind Mills  

Science Journals Connector (OSTI)

Over 5,000 years ago, the ancient Egyptians used wind to sail ships on the Nile River. While the proliferation of water mills was in full swing, windmills appeared to harness more inanimate energy by employing wind

J. S. Rao

2011-01-01T23:59:59.000Z

144

Wind Farm  

Office of Energy Efficiency and Renewable Energy (EERE)

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

145

Wind Power  

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

Wind 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...

146

Wind Power  

Science Journals Connector (OSTI)

For off-shore wind energy, it is not economically profitable to locate wind turbines in waters with depths larger than about 40m. For this reason, some floating turbine prototypes are being tested, which can be ...

Ricardo Guerrero-Lemus; Jos Manuel Martnez-Duart

2013-01-01T23:59:59.000Z

147

AWEA Wind Energy Regional Summit: Northeast  

Office of Energy Efficiency and Renewable Energy (EERE)

The AWEA Wind Energy Northeast Regional Summit will connect you with New England-area wind energy professionals and offers the opportunity to discuss significant issues related to land-based and...

148

San Diego County- Wind Regulations (California)  

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

The County of San Diego has established zoning guidelines for wind turbine systems of varying sizes in the unincorporated areas of San Diego County. Wind turbine systems can be classified as small,...

149

Wind energy  

Science Journals Connector (OSTI)

...is approximately 4.5-6.01 for onshore wind farms. The price for offshore wind farms is estimated to be 50% higher. For comparison...visually intrusive. The visual impact of offshore wind farms quickly diminishes with distance and 10km...

2007-01-01T23:59:59.000Z

150

Chinook winds.  

Science Journals Connector (OSTI)

...of south-easterly winds, which blow over the...Ocean, from which the winds come, can at this season...freezing-point. The wind well known in the Alps as the foehn is another example of...result is complicated by local details; regions of...

George M. Dawson

1886-01-08T23:59:59.000Z

151

Wind-Tunnel Simulation of Pedestrian-Level Wind in Los Angeles Bruce R. White  

E-Print Network (OSTI)

Wind-Tunnel Simulation of Pedestrian-Level Wind in Los Angeles Bruce R. White University-level winds within the South Coast Air Basin, a 6,000-square mile area that includes Orange County, most of Los Angeles and Riverside Counties. Working with the city of Los Angeles officials guidelines for wind

White, Bruce

152

Report on the Night of the Big Wind The Big Wind of 1839 was  

E-Print Network (OSTI)

the sea, causing widespread flooding in some areas telling me how extremely strong this wind wasReport on the Night of the Big Wind The Big Wind of 1839 was Ireland's worst natural disaster. It brought hurricane force winds very rare in such a temperate climate during the night of 6th - 7th January

153

Stakeholder Engagement and Outreach: Where Is Wind Power?  

Wind Powering America (EERE)

Where Is Wind Power? Where Is Wind Power? Wind Powering America offers maps to help you visualize the wind resource at a local level and to show how much wind power has been installed in the United States. How much wind power is on my land? Go to the wind resource maps. Go to the wind resource maps. Go to the wind resource maps. If you want to know how much wind power is in a particular area, these wind resource maps can give you a visual indication of the average wind speeds to a local level such as a neighborhood. These maps have been developed using the same mathematical models that are used by weather forecasters and are even used to estimate the wind energy potential-or how much wind energy could potentially be produced at the state level, if wind power were developed there.

154

MESOSCALE MODELLING OF WIND ENERGY OVER NON-HOMOGENEOUS TERRAIN  

E-Print Network (OSTI)

MESOSCALE MODELLING OF WIND ENERGY OVER NON-HOMOGENEOUS TERRAIN (ReviewArticle) Y. MAHRER.1. OBSERVATIONALAPPROACHES Evaluations of wind energy based on wind observations (usually surface winds) at well, the resolution of the wind energy pattern throughout an extended area by this methodology requires a large number

Pielke, Roger A.

155

Lower Sioux Wind Feasibility & Development  

SciTech Connect

This report describes the process and findings of a Wind Energy Feasibility Study (Study) conducted by the Lower Sioux Indian Community (Community). The Community is evaluating the development of a wind energy project located on tribal land. The project scope was to analyze the critical issues in determining advantages and disadvantages of wind development within the Community. This analysis addresses both of the Community's wind energy development objectives: the single turbine project and the Commerical-scale multiple turbine project. The main tasks of the feasibility study are: land use and contraint analysis; wind resource evaluation; utility interconnection analysis; and project structure and economics.

Minkel, Darin

2012-04-01T23:59:59.000Z

156

E-Print Network 3.0 - area 1994-1995 technical Sample Search...  

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

affecting wind farm investments and market... procedures for wind turbines and wind farms 12;R&D Priority Areas - cont. Grid ... Source: Ris National Laboratory Collection:...

157

NREL: Wind Research - Utility Grid Integration  

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

Utility Grid Integration Utility Grid Integration Photo of a wind farm in Lawton, Oklahoma where NREL researchers studied the impact of wind energy on farming system operations. NREL researchers analyzed research data collected from this wind farm in Lawton, Oklahoma, to determine the impacts of wind energy on systems operations. NREL researchers analyzed research data collected from this wind farm in Lawton, Oklahoma, to determine the impacts of wind energy on systems operations. The integration of wind energy into the electric generation industry's supply mix is one of the issues industry grapples with. The natural variability of the wind resource raises concerns about how wind can be integrated into routine grid operations, particularly with regard to the effects of wind on regulation, load following, scheduling, line voltage,

158

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

159

Offshore Wind Potential Tables  

Wind Powering America (EERE)

Offshore wind resource by state and wind speed interval within 50 nm of shore. Offshore wind resource by state and wind speed interval within 50 nm of shore. Wind Speed at 90 m (m/s) 7.0 - 7.5 7.5 - 8.0 8.0 - 8.5 8.5 - 9.0 9.0 - 9.5 9.5 - 10.0 >10.0 Total >7.0 State Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) California 11,439 (57,195) 24,864 (124,318) 23,059 (115,296) 22,852 (114,258) 13,185 (65,924) 15,231 (76,153) 6,926 (34,629) 117,555 (587,773) Connecticut 530 (2,652) 702 (3,508) 40 (201) 0 (0) 0 (0) 0 (0) 0 (0) 1,272 (6,360) Delaware 223 (1,116) 724 (3,618) 1,062 (5,310) 931 (4,657) 0 (0) 0 (0) 0 (0) 2,940 (14,701) Georgia 3,820 (19,102) 7,741 (38,706) 523 (2,617) 0 (0) 0 (0) 0 (0) 0 (0) 12,085 (60,425) Hawaii 18,873 (94,363) 42,298 (211,492)

160

Planning a Small Wind Electric System | Department of Energy  

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

Small Wind Electric System Small Wind Electric System Planning a Small Wind Electric System July 15, 2012 - 4:11pm Addthis Small wind electric systems require planning to determine if there is enough wind, the location is appropriate, if wind systems are allowed, and if the system will be economical. | Photo courtesy of Bergey WindPower. Small wind electric systems require planning to determine if there is enough wind, the location is appropriate, if wind systems are allowed, and if the system will be economical. | Photo courtesy of Bergey WindPower. What are the key facts? Careful planning helps to ensure that your small wind electric system project goes smoothly and is economical at your location. During planning, you will find out if there is enough wind to operate the system, if the location is appropriate, if wind systems are

Note: This page contains sample records for the topic "determine area wind" 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 power forecast error smoothing within a wind farm  

Science Journals Connector (OSTI)

Smoothing of wind power forecast errors is well-known for large areas. Comparable effects within a wind farm are investigated in this paper. A Neural Network was taken to predict the power output of a wind farm in north-western Germany comprising 17 turbines. A comparison was done between an algorithm that fits mean wind and mean power data of the wind farm and a second algorithm that fits wind and power data individually for each turbine. The evaluation of root mean square errors (RMSE) shows that relative small smoothing effects occur. However, it can be shown for this wind farm that individual calculations have the advantage that only a few turbines are needed to give better results than the use of mean data. Furthermore different results occurred if predicted wind speeds are directly fitted to observed wind power or if predicted wind speeds are first fitted to observed wind speeds and then applied to a power curve. The first approach gives slightly better RMSE values, the bias improves considerably.

Nadja Saleck; Lueder von Bremen

2007-01-01T23:59:59.000Z

162

Stakeholder Engagement and Outreach: Utility-Scale Land-Based 80-Meter Wind  

Wind Powering America (EERE)

Maps & Data Maps & Data Printable Version Bookmark and Share Utility-Scale Land-Based Maps Wind Resource Potential Offshore Maps Community-Scale Maps Residential-Scale Maps Anemometer Loan Programs & Data Utility-Scale Land-Based 80-Meter Wind Maps The U.S. Department of Energy provides an 80-meter (m) height, high-resolution wind resource map for the United States with links to state wind maps. States, utilities, and wind energy developers use utility-scale wind resource maps to locate and quantify the wind resource, identifying potentially windy sites within a fairly large region and determining a potential site's economic and technical viability. A wind resource map of the United States. Washington wind map and resources. Oregon wind map and resources. California wind map and resources. Idaho wind map and resources. Nevada wind map and resources. Arizona wind map and resources. Utah wind map and resources. Montana wind map and resources. Wyoming wind map and resources. North Dakota wind map and resources. South Dakota wind map and resources. Nebraska wind map and resources. Colorado wind map and resources. New Mexico wind map and resources. Kansas wind map and resources. Oklahoma wind map and resources. Texas wind map and resources. Minnesota wind map and resources. Iowa wind map and resources. Missouri wind map and resources. Arkansas wind map and resources. Lousiana wind map and resources. Wisconsin wind map and resources. Michigan wind map and resources. Michigan wind map and resources. Illinois wind map and resources. Indiana wind map and resources. Ohio wind map and resources. Kentucky wind map and resources. Tennessee wind map and resources. Mississippi wind map and resources. Alabama wind map and resources. Georgia wind map and resources. Florida wind map and resources. South Carolina wind map and resources. North Carolina wind map and resources. West Virginia wind map and resources. Virginia wind map and resources. Maryland wind map and resources. Pennsylvania wind map and resources. Delaware wind map and resources. New Jersey wind map and resources. New York wind map and resources. Maine wind map and resources. Vermont wind map and resources. New Hampshire wind map and resources. Massachusetts wind map and resources. Rhode Island wind map and resources. Connecticut wind map and resources. Alaska wind map and resources. Hawaii wind map and resources.

163

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).

164

Wind Resource Map: Mexico | Open Energy Information  

Open Energy Info (EERE)

Wind Resource Map: Mexico Wind Resource Map: Mexico Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Resource Map: Mexico Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: www.altestore.com/howto/Reference-Materials/Wind-Resource-Map-Mexico/a Equivalent URI: cleanenergysolutions.org/content/wind-resource-map-mexico,http://clean Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This is on-shore wind resource map for rural power applications in Mexico. The map can be used to aid in appropriate siting of wind power installations. Please note that the wind speed classes are taken at 30 m (100 feet [ft]), instead of the usual 10 m (33 ft). Each wind power class should span two power densities. For example, Wind Power Class = 3

165

Offshore Wind Research (Fact Sheet)  

SciTech Connect

This 2-page fact sheet describes NREL's offshore wind research and development efforts and capabilities. The National Renewable Energy Laboratory is internationally recognized for offshore wind energy research and development (R&D). Its experience and capabilities cover a wide spectrum of wind energy disciplines. NREL's offshore wind R&D efforts focus on critical areas that address the long-term needs of the offshore wind energy industry and the Department of Energy (DOE). R&D efforts include: (1) Developing offshore design tools and methods; (2) Collaborating with international partners; (3) Testing offshore systems and developing standards; (4) Conducting economic analyses; (5) Characterizing offshore wind resources; and (6) Identifying and mitigating offshore wind grid integration challenges and barriers. NREL has developed and maintains a robust, open-source, modular computer-aided engineering (CAE) tool, known as FAST. FAST's state-of-the-art capabilities provide full dynamic system simulation for a range of offshore wind systems. It models the coupled aerodynamic, hydrodynamic, control system, and structural response of offshore wind systems to support the development of innovative wind technologies that are reliable and cost effective. FAST also provides dynamic models of wind turbines on offshore fixed-bottom systems for shallow and transitional depths and floating-platform systems in deep water, thus enabling design innovation and risk reduction and facilitating higher performance designs that will meet DOE's cost of energy, reliability, and deployment objectives.

Not Available

2011-10-01T23:59:59.000Z

166

Sensitivity analysis of offshore wind turbine tower caused by the external force  

Science Journals Connector (OSTI)

Generally, faster wind speeds are observed in coastal areas than ... inland areas. Therefore, for the development of offshore wind energy, more electricity is expected to be generated using wind turbines. This al...

Namhyeong Kim; Jung Woon Jin

2013-07-01T23:59:59.000Z

167

Determination of transport parameters of coincident inorganic and organic plumes in the Savannah River Plant M-Area, Aiken, South Carolina  

E-Print Network (OSTI)

DETERMINATION OF TRANSPORT PARAMETERS OF COINCIDENT INORGANIC AND ORGANIC PLUMES IN THE SAVANNAH RIVER PLANT M-AREA, AIKEN, SOUTH CAROLINA A Thesis by TOYA. LYN CAUFFMAN Submitted to the Graduate College of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1987 Major Subject: Geology DETERMINATION OF TRANSPORT PARAMETERS OF COINCIDENT INORGANIC AND ORGANIC PLUMES IN THE SAVANNAH RIVER PLANT M-AREA, AIKEN& SOUTH CAROLINA A Thesis...

Cauffman, Toya Lyn

2012-06-07T23:59:59.000Z

168

Wind Powering America Fact Sheet Series 1 Wind energy is more expensive than conventional energy.  

E-Print Network (OSTI)

Wind Powering America Fact Sheet Series 1 Wind energy is more expensive than conventional energy, the commission determined that wind energy provided the lowest cost of any new generation resource submitted a reduction in payments by electricity customers of $305 million in one year.2 2 Wind energy requires

Massachusetts at Amherst, University of

169

Wind Power Forecasting  

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

Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email List Self Supplied Balancing Reserves Dynamic...

170

International Workshop on Small Scale Wind Energy for Developing Countries  

Open Energy Info (EERE)

Scale Wind Energy for Developing Countries Scale Wind Energy for Developing Countries Jump to: navigation, search Name International Workshop on Small Scale Wind Energy for Developing Countries Agency/Company /Organization Risoe DTU Sector Energy Focus Area Renewable Energy, Wind Topics Implementation, Technology characterizations Resource Type Workshop, Training materials, Lessons learned/best practices Website http://www.risoe.dtu.dk/~/medi References International Workshop on Small Scale Wind Energy for Developing Countries[1] Background "The workshop covers the following main themes: Wind energy technologies, their perspectives and applications in developing countries. Reliability of wind turbines, lifetime and strength of wind turbine components. Low cost and natural materials for wind turbines.

171

Wind turbine  

SciTech Connect

The improvement in a wind turbine comprises providing a tower with a freely liftable mount and adapting a nacelle which is fitted with a propeller windwheel consisting of a plurality of rotor blades and provided therein with means for conversion of wind energy to be shifted onto said mount attached to the tower. In case of a violent wind storm, the nacelle can be lowered down to the ground to protect the rotor blades from breakage due to the force of the wind. Required maintenance and inspection of the nacelle and replacement of rotor blades can be safely carried out on the ground.

Abe, M.

1982-01-19T23:59:59.000Z

172

NREL: Wind Research - Mariah Power's Windspire Wind Turbine Testing and  

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

Mariah Power's Windspire Wind Turbine Testing and Results Mariah Power's Windspire Wind Turbine Testing and Results A video of Mariah Power's Windspire wind turbine. Text Version As part of the National Renewable Energy Laboratory and U.S. Department of Energy (NREL/DOE) Independent Testing project, NREL tested Mariah Power's Windspire Giromill small wind turbine at the National Wind Technology Center (NWTC) through January 14, 2009 when NREL terminated its testing. Read a chronology of events and letter from Mariah Power to NREL. The Windspire is a 1.2-kilowatt (kW) vertical-axis small wind turbine. The turbine tower is 9.1 meters tall, and its rotor area is 1.2 by 6.1 meters. The turbine has a permanent-magnet generator with a single-phase output at 120 volts AC. Testing Summary Testing was terminated January 14, 2009. Published test reports include

173

Wind farm aural and visual impact in the Netherlands  

Science Journals Connector (OSTI)

The WINDFARM perception project carried out in 2006 in the Netherlands aimed to explore the impact of wind farms on people living close to wind farms. The study sample was selected in three types of area (countryside countryside with major road built up area) by means of a Geographic Information System(GIS). Each selected address was within 2.5 km of a wind turbine of at least 500 kW electric power and a similar turbine within 500 m of the first. Aural impact was calculated according to three different sound propagationmodels: the international ISO?9613 standard the model legally required in the Netherlands and a simplified model as in the New Zealand Standard NZS?6808. Visual impact was quantified in two ways: the vertical angle determined by the height of the apparently tallest turbine and the solid angle determined by all turbines where each turbine was replaced by a vertical rectangle just enclosing the turbine. Immission sound levels from the wind farms at 1948 receiver locations varied from 21 to 54 dB(A) relative size from 0.01% to 30% of the total field of view. Results show that all impact measures are highly correlated with distance to the nearest wind turbine.

Frits Van Den Berg; Eja Pedersen; Roel Bakker; Jelte Bouma

2008-01-01T23:59:59.000Z

174

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

175

CX-006889: Categorical Exclusion Determination | Department of Energy  

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

89: Categorical Exclusion Determination 89: Categorical Exclusion Determination CX-006889: Categorical Exclusion Determination Bristol to Groton Transmission Line Upgrade Project CX(s) Applied: B4.11 Date: 10/11/2011 Location(s): South Dakota Office(s): Western Area Power Administration-Upper Great Plains Region The Western Area Power Administration (WAPA) Bristol to Groton 115 kilovolt (kV) transmission line is to be upgraded in association with the Just Wind Napoleon Wind Farm. The Just Wind Napoleon Wind Farm will produce 367 megawatts (MW) when complete. Plans call for production of 100 MW at the end of 2010, with the remaining 267 MW coming online at a later date. The existing 115-kV conductor will need to be replaced with a new 795 MCM (thousands of circular mills) 115-kV conductor line before the full 367 MW

176

Wind and saltation driven particle resuspension in a wind tunnel  

SciTech Connect

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

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

1985-01-01T23:59:59.000Z

177

Flow Simulations of a Rotating MidSized Rim Driven Wind Turbine  

E-Print Network (OSTI)

relatively high free stream wind velocities that limit the geographic areas suitable for wind energy. The Keuka rimdriven wind turbine (RDWT) (U.S. Patent 7399162) developed by Keuka Energy LLC is one wind turbine designed for wind energy extraction in locations of wind class three

Maccabe, Barney

178

Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources  

Science Journals Connector (OSTI)

Abstract Offshore wind resources are more abundant and stronger and they blow more consistently than land-based wind resources. While gale force winds are easier to hit on the sea, the strong wind vibration and wind loads may exert severe damage and shock to wind turbines and wind power grids, even resulting in power grid collapse. Thus, to develop offshore wind power, apart from accurate quantitative wind energy potential assessments, it is necessary to effectively estimate extreme wind speeds. Toward this purpose, this paper investigates the current status of extreme wind speeds and wind energy assessment from literature review. It turns out that much work on wind energy estimation has been performed, whereas relatively little research involves extreme wind speeds, the main challenge stemming from the limited availability of derived extreme winds. Then a GH method based on artificial intelligence optimization algorithms is developed to re-analyze future samples of extreme wind speeds. On the basis of the re-analyzed extreme samples, as well as the Generalized Extreme Value (GEV) and Gumbel models optimized by Cuckoo Search (CS) and Chaotic Particle Swarm Optimization (CPSO) algorithms, the potential risks of extreme wind speeds are conducted based on 23-year (19902012) historic wind speeds. Thus, in terms of wind speeds, a comprehensive estimation for offshore wind energy is initially implemented in Bohai Rim, China. The assessment shows that the study areas have high-strength wind power but are rarely subjected to extreme wind speeds, which implies that it is suitable for wind farm construction.

Jianzhou Wang; Shanshan Qin; Shiqiang Jin; Jie Wu

2015-01-01T23:59:59.000Z

179

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

Open Energy Info (EERE)

maps at 10m and 50m above surface maps at 10m and 50m above surface and 0.25 degree resolution for global oceans from NREL Dataset Summary Description (Abstract): Raster GIS ASCII 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. (Purpose): To provide information on the wind resource potential of offshore areas. Source NREL Date Released December 31st, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS NASA NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 36.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2000 - 2004 License License Other or unspecified, see optional comment below

180

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

Open Energy Info (EERE)

10m and 50m above 10m and 50m above surface and 0.25 degree resolution for global oceans from NREL Dataset Summary Description (Abstract): Raster GIS ASCII 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. (Purpose): To provide information on the wind resource potential of offshore areas. Source NREL Date Released December 31st, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS NASA NREL ocean offshore QuikScat SWERA UNEP wind Data application/msword icon Download Documentation (doc, 53.8 KiB) application/zip icon Download Data (zip, 41 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 01/01/2000 - 12/31/2004

Note: This page contains sample records for the topic "determine area wind" 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

Small Wind Electric Systems | Department of Energy  

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

Small Wind Electric Systems Small Wind Electric Systems Small Wind Electric Systems July 15, 2012 - 5:22pm Addthis Wind power is the fastest growing source of energy in the world -- efficient, cost effective, and non-polluting. What does this mean for me? Small wind electric systems can be one of the most efficient ways of producing electricity for your home. Wind energy is a fast growing market, because it is effective and cost efficient. If you have enough wind resource in your area and the situation is right, small wind electric systems are one of the most cost-effective home-based renewable energy systems -- with zero emissions and pollution. Small wind electric systems can: Lower your electricity bills by 50%-90% Help you avoid the high costs of having utility power lines extended

182

Wyoming Wind Power Project (generation/wind)  

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

Wind Power > Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Wyoming Wind Power Project (Foote Creek Rim I and II) Thumbnail image of wind...

183

Wind Energy Resource Atlas of Southeast China  

SciTech Connect

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

184

Optimum propeller wind turbines  

SciTech Connect

The Prandtl-Betz-Theodorsen theory of heavily loaded airscrews has been adapted to the design of propeller windmills which are to be optimized for maximum power coefficient. It is shown that the simpler, light-loading, constant-area wake assumption can generate significantly different ''optimum'' performance and geometry, and that it is therefore not appropriate to the design of propeller wind turbines when operating in their normal range of high-tip-speed-to-wind-speed ratio. Design curves for optimum power coefficient are presented and an example of the design of a typical two-blade optimum rotor is given.

Sanderson, R.J.; Archer, R.D.

1983-11-01T23:59:59.000Z

185

Offshore Wind Power USA  

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

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

186

Cost-Causation-Based Tariffs for Wind Ancillary Service Impacts: Preprint  

SciTech Connect

Conference paper discussing the integration cost of wind. Although specific tariffs for wind generation for ancillary services are uncommon, we anticipate that balancing authorities (control areas) and other entities will move toward such tariffs. Tariffs for regulation and imbalance services should be cost-based, recognize the relevant time scales that correspond with utility operational cycles, and properly allocate those costs to those entities that cause the balancing authority to incur the costs. In this paper, we present methods for separating wind's impact into regulation and load following (imbalance) time scales. We show that approximating these impacts with simpler methods can significantly distort cost causation and even cause confusion between the relevant time scales. We present results from NREL's wind data collection program to illustrate the dangers of linearly scaling wind resource data from small wind plants to approximate the wind resource data from large wind plants. Finally, we provide a framework for developing regulation and imbalance tariffs, we outline methods to begin examining contingency reserve requirements for wind plants, we provide guidance on the important characteristics to consider, and we provide hypothetical cases that the tariff can be tested against to determine whether the results are desired.

Kirby, B.; Milligan, M.; Wan, Y.

2006-06-01T23:59:59.000Z

187

offshore wind farm  

Science Journals Connector (OSTI)

offshore wind farm, wind farm [Wind park which one may find on the ... engineers and should not be used. A wind farm consists of a network of wind turbines] ? Windkraftanlage f, Windpark m; Offshore

2014-08-01T23:59:59.000Z

188

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"

189

Design Wind Speed  

Science Journals Connector (OSTI)

Wind is characterized by various different parameters. They include the following items: (1) wind speed, such as the mean wind speed and maximum instantaneous wind speed; (2) wind direction such as the azimuth di...

Yozo Fujino; Kichiro Kimura; Hiroshi Tanaka

2012-01-01T23:59:59.000Z

190

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.

191

Wind energy resources analysis of Western Greece coast in terms of sustainable environmental indicators and towards their community-based exploitation in South-East Europe  

Science Journals Connector (OSTI)

Wind energy resources in the Ionian-Adriatic coast of South-East Europe were analyzed. Status of wind energy development in the countries of Greece Albania Montenegro Bosnia-Herzegovina and Croatia and regions of moderate and high wind potential at their west coasts were reviewed. The feasibility of the application of specific wind turbine generators with lower cut-in cut-out and rated speeds in moderate wind fields was investigated. The wind speed and direction as well as the availability the duration and the diurnal variation of several coastal sites in Western Greece were assessed and the results were statistically analyzed as time-series or with the Weibull probability distribution function. The mean wind power densities were less than 200?W?m?2 at 10?m suggesting the limiting suitability of the sites for the usual wind energy applications. However further technical-economical analysis revealed that the recent technological turbine improvements with lower cut-in and rated speeds make wind power viable even at moderate wind fields. Environmental indicators like energy payback period and avoided greenhouse emissions were determined to be significant for the utilization of wind energy resources in these coastal areas. Since the region is important for sea-related activities the implementation of wind energy applications in the frame of cross-border cooperation should be prioritized.

2013-01-01T23:59:59.000Z

192

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

193

Offshore Wind Turbine Wakes Measured by Sodar  

Science Journals Connector (OSTI)

A ship-mounted sodar was used to measure wind turbine wakes in an offshore wind farm in Denmark. The wake magnitude and vertical extent were determined by measuring the wind speed profile behind an operating turbine, then shutting down the ...

R. J. Barthelmie; L. Folkerts; F. T. Ormel; P. Sanderhoff; P. J. Eecen; O. Stobbe; N. M. Nielsen

2003-04-01T23:59:59.000Z

194

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

195

A method of micrositing of wind turbine on building roof-top by using joint distribution of wind speed and direction, and computational fluid dynamics  

Science Journals Connector (OSTI)

Urban wind turbines are recommended for installation on a building roof-top to capture more wind energy. It is critical to decide an exact location for the wind turbine installation on the roof-top area. ... this...

Bavuudorj Ovgor; Sang-Kwon Lee

2012-12-01T23:59:59.000Z

196

Title: Ontario Wind Power Allocation Ontario Ministry of Natural Resources  

E-Print Network (OSTI)

Title: Ontario Wind Power Allocation Data Creator / Copyright Owner: Ontario Ministry of Natural/A Updates: N/A Abstract: This data consists of a polygon shapefile, Wind Power Allocation Block. A Wind Power Allocation Block is an area that could be allocated for the exploration of wind power generation

197

E-Print Network 3.0 - altamont pass wind Sample Search Results  

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

2 UNDERSTANDING THE PROBLEM 1.1 INTRODUCTION Summary: consistently documented that wind turbines in the Altamont Pass Wind Resource Area (APWRA) kill large numbers... et al....

198

Overview of Existing Wind Energy Ordinances  

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

government and community, typically to the level of restoring the area(s) where the wind turbines are located to their original condition at the end of the project life or facility...

199

NREL-International Wind Resource Maps | Open Energy Information  

Open Energy Info (EERE)

International Wind Resource Maps International Wind Resource Maps Jump to: navigation, search Tool Summary Name: NREL-International Wind Resource Maps Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Wind Topics: Resource assessment Website: www.nrel.gov/wind/international_wind_resources.html NREL-International Wind Resource Maps Screenshot References: International Wind Resource Maps [1] Logo: NREL-International Wind Resource Maps This resource provides access to NREL-developed wind resource maps and atlases for several countries. NREL's wind mapping projects have been supported by the U.S. Department of Energy, U.S. Agency for International Development, and United Nations International Programme. "NREL is helping to develop high-resolution projections of wind resources

200

Summary of Time Period-Based and Other Approximation Methods for Determining the Capacity Value of Wind and Solar in the United States: September 2010 - February 2012  

SciTech Connect

This paper updates previous work that describes time period-based and other approximation methods for estimating the capacity value of wind power and extends it to include solar power. The paper summarizes various methods presented in utility integrated resource plans, regional transmission organization methodologies, regional stakeholder initiatives, regulatory proceedings, and academic and industry studies. Time period-based approximation methods typically measure the contribution of a wind or solar plant at the time of system peak - sometimes over a period of months or the average of multiple years.

Rogers, J.; Porter, K.

2012-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "determine area wind" 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

20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply  

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

The report considers some associated challenges, estimates the impacts and considers specific needs and outcomes in various areas associated with a 20% Wind Scenario.

202

A Study to Determine the Effectiveness of Agriculture/Natural Resource Program Area Committees on the Texas AgriLife Extension Service Program Planning Process  

E-Print Network (OSTI)

of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF EDUCATION August 2011 Major Subject: Agricultural Leadership, Education, and Communications A STUDY TO DETERMINE..., Jack Elliot August 2011 Major Subject: Agricultural Leadership, Education, and Communications iii ABSTRACT A Study to Determine the Effectiveness of Agriculture/Natural Resource Program Area Committees on the Texas AgriLife Extension...

Weems, Whit Holland

2011-10-21T23:59:59.000Z

203

Maintaining Productivity of Rural Area in Indonesia: A Perspective of Total Customers Involvement from Design to Maintenance of a Local Wind Pump (LWP) Application  

Science Journals Connector (OSTI)

A sustainable study development on a local wind pump (LWP) has been indicated as one of solutions for maintaining stable productivity of marginal societies (traditional farmers peasant and tribes) in facing multi crisis happened in Indonesia. Moreover the study is designed to assess the LWP by accommodating a total participation of the societies as targeted customers. The participation was formulated from design to maintenance stages of the LWP. The approaches of implementation a QFD method a field survey and life skill training have been fitted to the formulation. In this article significant achievements resulted by the approaches are reported. The QFD was adopted to classify all of the parameters constraints and boundaries which were obtained by questionnaire to the customers. All of the parameters were plotted in to a house of quality matrix (HOQ) which contributed to manufacture criteria and as well as maintenance criteria. The field study was accomplished in order to assess an availability value of the LWP components. The life skill training was conducted to equip manufacturing skill to the customers. Throughout the study it was observed that the LWP was manufactured by accommodating 90% of a local materials and local components available in district markets of Lampung province Indonesia. Throughout the survey critical parameters for a sustainable development of the LWP have been defined namely government protection capital investment for supplying component and maintenance networking for supporting the LWP performance. The life skill training given to the customers affected to incremental value of reliability in terms of maintenance skill. As a result the LWP was indicated as a local competitive product of renewable energy (RE) to the society.

Beny Yudiantoro; Ahmad Taufik

2007-01-01T23:59:59.000Z

204

Numerical Simulation of the Irish Wind Climate and Comparison with Wind  

Open Energy Info (EERE)

Numerical Simulation of the Irish Wind Climate and Comparison with Wind Numerical Simulation of the Irish Wind Climate and Comparison with Wind Atlas Data Dataset Summary Description (Abstract): The wind climate of Ireland has been calculated using the Karlsruhe Atmospheric Mesoscale Model KAMM using the statistical-dynamical method. The large-scale climatology is represented by 65 classes of geostropic wind. From the frequency of the classes and the simulations the climatology of the surface wind is determined. The simulated winds are processed similar to observed data to obtain LIB-files for the Wind Atlas Analysis and Application Program WAsP. Comparisons are made with mast observations which have been analyzed by WAsP. Sites with high wind power potential are well predicted. Stations with low power are over predicted. (Purpose): Article describing an example of a KAMM

205

Potential order-of-magnitude enhancement of wind farm power density via counter-rotating vertical-axis wind  

E-Print Network (OSTI)

Potential order-of-magnitude enhancement of wind farm power density via counter-rotating vertical constraint limits the amount of power that can be extracted from a given wind farm footprint. The resulting-axis wind turbines (VAWTs) in order to achieve higher power output per unit land area than existing wind

Dabiri, John O.

206

ISET-Wind-Index Assessment of the Annual Available Wind Energy  

E-Print Network (OSTI)

Particularly in years with wind speeds that are clearly below average, dissatisfaction of operators and even liquidity problems are sparked through the unexpected low annual power production. An objective standard for the evaluation of the respective wind year is required for the internal estimation of the performance of wind farms, and for justification to share owners and banks. The annual wind conditions are composed from such a multitude of meteorological situations, differing from location to location, that the available wind energy at every individual location develops totally differently. A single code is therefore not sufficient to describe the wind year in Germany and, moreover, the evaluation of annual available wind energy must be carried out separately for the smallest areas possible. With the support of the Gothaer Rckversicherungen AG, a procedure has been developed at ISET which provides the proportion of the respective annual available wind energy, in relation to the long-term average available wind energy, for each 10 km x 10 km sized plan area in Germany. This amount, the ISET-Wind-Index, is founded on wind measurements at locations that are typical for wind energy use and therefore presents an objective standard. The measurement grid is part of the Scientific Measurement and Evaluation Programme (WMEP), which accompanies the 250 MW Wind project of the German Federal Ministry for Economy and Labour. The ISET-Wind-Index, which will be regularly updated, provides an objective standard for the estimation of annual available

Berthold Hahn; Kurt Rohrig

2003-01-01T23:59:59.000Z

207

Stakeholder Engagement and Outreach: Wind Resource Potential  

Wind Powering America (EERE)

Wind Resource Potential Offshore Maps Community-Scale Maps Residential-Scale Maps Anemometer Loan Programs & Data Wind Resource Potential State Wind Resource Potential Tables Find state wind resource potential tables in three versions: Microsoft Excel 2007, 2003, and Adobe Acrobat PDF. 30% Capacity Factor at 80-Meters Microsoft 2007 Microsoft 2003 Adobe Acrobat PDF Additional 80- and 100-Meter Wind Resource Potential Tables Microsoft 2007 Microsoft 2003 Adobe Acrobat PDF The National Renewable Energy Laboratory (NREL) estimated the windy land area and wind energy potential for each state using AWS Truepower's gross capacity factor data. This provides the most up to date estimate of how wind energy can support state and national energy needs. The table lists the estimates of windy land area with a gross capacity of

208

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

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

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

209

LIDAR Wind Speed Measurements of Evolving Wind Fields  

SciTech Connect

Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems that are designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed the validity of physicist G.I. Taylor's 1938 frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylor's hypothesis applied, the only source of wind speed measurement error is distortion caused by the LIDAR. This study introduces wind evolution, characterized by the longitudinal coherence of the wind, to LIDAR measurement simulations using the National Renewable Energy Laboratory's (NREL's) 5-megawatt turbine model to create a more realistic measurement model. A simple model of wind evolution was applied to a frozen wind field that was used in previous studies to investigate the effects of varying the intensity of wind evolution. LIDAR measurements were also evaluated using a large eddy simulation (LES) of a stable boundary layer that was provided by the National Center for Atmospheric Research. The LIDAR measurement scenario investigated consists of a hub-mounted LIDAR that scans a circle of points upwind of the turbine in order to estimate the wind speed component in the mean wind direction. Different combinations of the preview distance that is located upwind of the rotor and the radius of the scan circle were analyzed. It was found that the dominant source of measurement error for short preview distances is the detection of transverse and vertical wind speeds from the line-of-sight LIDAR measurement. It was discovered in previous studies that, in the absence of wind evolution, the dominant source of error for large preview distances is the spatial averaging caused by the LIDAR's sampling volume. However, by introducing wind evolution, the dominant source of error for large preview distances was found to be the coherence loss caused by evolving turbulence. Different measurement geometries were compared using the bandwidth for which the measurement coherence remained above 0.5 and also the area under the measurement coherence curve. Results showed that, by increasing the intensity of wind evolution, the measurement coherence decreases. Using the coherence bandwidth metric, the optimal preview distance for a fixed-scan radius remained almost constant for low and moderate amounts of wind evolution. For the wind field with the simple wind evolution model introduced, the optimal preview distance for a scan radius of 75% blade span (47.25 meters) was found to be 80 meters. Using the LES wind field, the optimal preview distance was 65 meters. When comparing scan geometries using the area under the coherence curve, results showed that, as the intensity of wind evolution increases, the optimal preview distance decreases.

Simley, E.; Pao, L. Y.; Kelley, N.; Jonkman, B.; Frehlich, R.

2012-01-01T23:59:59.000Z

210

European Wind Atlas: Offshore | Open Energy Information  

Open Energy Info (EERE)

European Wind Atlas: Offshore European Wind Atlas: Offshore Jump to: navigation, search Tool Summary LAUNCH TOOL Name: European Wind Atlas: Offshore Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: www.windatlas.dk/Europe/oceanmap.html Equivalent URI: cleanenergysolutions.org/content/european-wind-atlas-offshore,http://c Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This is a European offshore wind resources over open sea map developed by Riso National Laboratory in 1989. The map shows the so-called generalised wind climate over Europe, also sometimes referred to as the regional wind climate or simply the wind atlas. In such a map, the influences of local topography have been removed and only the variations on the large scale are

211

Siting Wind Energy | Open Energy Information  

Open Energy Info (EERE)

Siting Wind Energy Siting Wind Energy Jump to: navigation, search Wind turbines at the Forward Wind Energy Center in Fond du Lac and Dodge Counties, Wisconsin. Photo from Ruth Baranowski/NREL, NREL 21207 The following resources provide information about siting wind energy projects. Some are specific to a state or region but may still contain information applicable to other areas. Wind project siting tools, such as calculators and databases, can be found here. Resources American Wind Energy Association. (Updated 2011). Siting, Health, and the Environment. Accessed August 13, 2013. This fact sheet provides an overview of siting myths and facts. Environmental Law Institute. Siting Wind Energy Facilities: What Do Local Elected Officials Need to Know?. Accessed November 29, 2013.

212

European Wind Atlas: Onshore | Open Energy Information  

Open Energy Info (EERE)

European Wind Atlas: Onshore European Wind Atlas: Onshore Jump to: navigation, search Tool Summary LAUNCH TOOL Name: European Wind Atlas: Onshore Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: www.windatlas.dk/Europe/landmap.html Equivalent URI: cleanenergysolutions.org/content/european-wind-atlas-onshore,http://cl Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This is a European on-shore wind resources at 50 meters of altitude map, developed by Riso National Laboratory in 1989. The map shows the so-called generalised wind climate over Europe, also sometimes referred to as the regional wind climate or simply the wind atlas. In such a map, the influences of local topography have been removed and only the variations on

213

ERCOT Wind Scraper | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » ERCOT Wind Scraper Jump to: navigation, search Tool Summary Name: ERCOT Wind Scraper Agency/Company /Organization: Prof. Mack Grady, Baylor University Sector: Energy Focus Area: Wind Resource Type: Software/modeling tools User Interface: Desktop Application Website: web.ecs.baylor.edu/faculty/grady/ OpenEI Keyword(s): Community Generated ERCOT Wind Scraper Screenshot References: W. Mack Grady[1] ERCOT Wind Scraper retrieves, displays, and logs minute-by-minute system generation, load, and wind generation from ERCOT's public web site. ERCOT Wind Scraper retrieves, displays, and logs minute-by-minute system generation, load, and wind generation from ERCOT's public web site. Instructions are included in a zipped file along with the program.

214

County Wind Ordinance Standards | Department of Energy  

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

County Wind Ordinance Standards County Wind Ordinance Standards County Wind Ordinance Standards < Back Eligibility Agricultural Commercial Industrial Local Government Residential Savings Category Wind Buying & Making Electricity Program Info State California Program Type Solar/Wind Permitting Standards Provider California Energy Commission [http://www.leginfo.ca.gov/pub/09-10/bill/asm/ab_0001-0050/ab_45_bill_200... Assembly Bill 45] of 2009 authorized counties to adopt ordinances to provide for the installation of small wind systems (50 kW or smaller) outside urbanized areas but within the county's jurisdiction. The bill also addressed specific aspects of a typical wind ordinance and established the limiting factors by which a county's wind ordinance can be no more restrictive. Counties may freely make more lenient ordinances, but AB 45

215

Community Wind Development Handbook | Open Energy Information  

Open Energy Info (EERE)

Community Wind Development Handbook Community Wind Development Handbook Jump to: navigation, search Tool Summary Name: Community Wind Development Handbook Agency/Company /Organization: Windustry Partner: AURI AG Innovations, The Minnesota Project, MC&PC, Clean Energy Resource Teams, Southwest Initiative Foundation Sector: Energy Focus Area: Wind, Economic Development Phase: Evaluate Options, Develop Goals, Prepare a Plan, Create Early Successes Resource Type: Guide/manual User Interface: Other Website: www.auri.org/research/Community%20Wind%20Handbook.pdf Cost: Free References: Community Wind Development Handbook[1] Provides developers practical knowledge of what to expect when developing commercial-scale community wind energy projects in the range of 2 to 50 Megawatts. Overview The Community Wind Development Handbook "is designed to give developers of

216

New England Wind Forum: Historic Wind Development in New England  

Wind Powering America (EERE)

First Large Scale Windmill First Large Scale Windmill 1970s OPEC Oil Embargo Sparks Renewed Interest Age of PURPA Spawns the Wind Farm An Industry in Transition More New England Wind Farms Modern Wind Turbines History Wrap Up State Activities Projects in New England Building Wind Energy in New England Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share Historic Wind Development in New England Wind has been an important energy source for centuries. In the United States, mechanical windmills provided as much as 25% of all non-transportation energy by the end of the 1800s. New England has relied on the wind from its early days, from powering seafaring commerce to grinding grain in the windmills of Cape Cod, several of which still stand. Some 6 million windmills across the nation were used for small-scale generation of electricity from the 1920s until the 1950s, when the U.S. government's rural electrification programs successfully reached remote areas. By the early 1970s, the number of windmills operating in the U.S. had dwindled to 150,000 - used mostly for watering livestock in remote areas of the western United States - although their widespread use continued elsewhere in the world.

217

HABITAT AND BIODIVERSITY MAPPING, FOR THE DETERMINATION OF ALGAL BIOMASS AQUACULTURE SITES IN THE COSTAL AREAS OF PUERTO RICO  

E-Print Network (OSTI)

HABITAT AND BIODIVERSITY MAPPING, FOR THE DETERMINATION OF ALGAL BIOMASS AQUACULTURE SITES production of algal biomass for the production of biofuels in Puerto Rico. The study evaluates

Gilbes, Fernando

218

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

219

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.

220

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

that includes wind turbine towers. 2011 Wind TechnologiesSets Other Wind Turbine Components Towers Wind-Poweredselected wind turbine components includes towers as well as

Bolinger, Mark

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "determine area wind" 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

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

that includes wind turbine towers. 2010 Wind TechnologiesImports : Other Wind Turbine Components Towers Wind-Poweredselected wind turbine components includes towers as well as

Wiser, Ryan

2012-01-01T23:59:59.000Z

222

Microsoft Word - WACM wind.doc  

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

WACM Wind Production WACM Wind Production Summary Overview October 2006 Summary by Joseph Liberatore 2 The following report is designed to give a graphical representation of the wind production on Western's transmission system in the Western Area Colorado/Missouri (WACM) control area for five (5) wind farms. A map and the general locations of the various farms is shown in figure A. Production output graphs of farms A, B, C, D and E were created to be read as follows The horizontal (X) axis is hour of day in military time and The vertical (Y) axis is month of year from January thru December, 1 thru 12 respectively. Color variations are to be interpreted as follows: Dark blue areas represent little or no wind production and are graduated to bright red which depict maximum wind farm output. All levels are normalized

223

Wind energy potential in the United States  

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. The estimates are based on published wind resource data and exclude windy lands that are not suitable for development as a result of environmental and land-use considerations. Despite these exclusions, the potential electric power from wind energy is surprisingly large. Good wind areas, which cover 6% of the contiguous US land area, have the potential to supply more than one and a half times the current electricity consumption of the United States. Technology under development today will be capable of producing electricity economically from good wind sites in many regions of the country.

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

1993-06-01T23:59:59.000Z

224

Energy 101: Wind Turbines  

ScienceCinema (OSTI)

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

None

2013-05-29T23:59:59.000Z

225

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)

lker, Muhammed Akif

2011-01-01T23:59:59.000Z

226

Energy 101: Wind Turbines  

SciTech Connect

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

None

2011-01-01T23:59:59.000Z

227

WINDExchange: Learn About Wind  

Wind Powering America (EERE)

Curricula & Teaching Materials Resources Learn About Wind Learn about how wind energy generates power; where the best wind resources are; how you can own, host, partner...

228

Wind power and Wind power and  

E-Print Network (OSTI)

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

229

CX-012223: Categorical Exclusion Determination | Department of...  

Office of Environmental Management (EM)

& Publications CX-012402: Categorical Exclusion Determination CX-012224: Categorical Exclusion Determination National Offshore Wind Energy Grid Interconnection Study (NOWEGIS)...

230

Probleme bei der Nutzung von Offshore-Wind-energie aus Sicht des Naturschutzes  

Science Journals Connector (OSTI)

Permissions for wind parks of together more than 1000 wind mills have been asked for regarding only the ... fauna will be affected by the installation. Wind energy plants in the offshore area are...

Thomas Merck; Henning von Nordheim

1999-12-01T23:59:59.000Z

231

Wind Energy Transmission | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Transmission Wind Energy Transmission Jump to: navigation, search Just a few years ago, 5% wind energy penetration in the United States was a lofty goal. In Europe, however, some countries have already reached wind energy penetrations of 10% or higher in a short period of time. The growth of domestic wind generation over the past decade has sharpened the focus on two questions: Can the electrical grid accommodate very high amounts of wind energy without jeopardizing security or degrading reliability? And, given that the nation's current transmission infrastructure is already constraining further development of wind generation in some regions, how could significantly larger amounts of wind energy be developed? The answers to these questions could hold the keys to determining how much of a role

232

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.

233

NREL-Wind Resource Assessment Handbook | Open Energy Information  

Open Energy Info (EERE)

Wind Resource Assessment Handbook Wind Resource Assessment Handbook Jump to: navigation, search Tool Summary LAUNCH TOOL Name: NREL-Wind Resource Assessment Handbook Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Wind Topics: Resource assessment Resource Type: Guide/manual, Training materials Website: www.nrel.gov/docs/legosti/fy97/22223.pdf NREL-Wind Resource Assessment Handbook Screenshot References: Wind Resource Assessment Handbook[1] Logo: NREL-Wind Resource Assessment Handbook This handbook presents industry-accepted guidelines for planning and conducting a wind resource measurement program to support a wind energy feasibility initiative. About "This handbook presents industry-accepted guidelines for planning and conducting a wind resource measurement program to support a wind energy

234

Advanced Hydraulic Wind Energy  

Science Journals Connector (OSTI)

The Jet Propulsion Laboratory, California Institute of Technology, has developed a novel advanced hydraulic wind energy design, which has up to 23% performance improvement over conventional wind turbine and conventional hydraulic wind energy systems ... Keywords: wind, tide, energy, power, hydraulic

Jack A. Jones; Allan Bruce; Adrienne S. Lam

2013-04-01T23:59:59.000Z

235

WINDExchange: Wind Economic Development  

Wind Powering America (EERE)

help you analyze the economics of a small wind electric system and decide whether wind energy will work for you. Wind Energy Finance Online Calculator Wind Energy Finance developed...

236

Exploiting Wind Versus Coal  

Science Journals Connector (OSTI)

...be offset with turbine mass production...of installed turbines, more than the...Denmark have wind parks offshore, where winds...of installed turbines, more than the...Denmark have wind parks offshore, where winds...

Mark Z. Jacobson; Gilbert M. Masters

2001-08-24T23:59:59.000Z

237

Technological Implementation of Renewable Energy in Rural?Isolated Areas and Small?Medium Islands in Indonesia: Problem Mapping And Preliminary Surveys of Total People Participation in a Local Wind Pump Water Supply  

Science Journals Connector (OSTI)

This article discusses a formulation of problem mapping and preliminary surveys of total people participation in a local wind pump (LWP) water supply in term of technological implementation of renewable energy (RE) in rural?isolated areas and small?medium islands in Indonesia. The formulation was constructed in order to enhance and to promote the local product of RE across Indonesia. It was also addressed to accommodate local potencies barriers and opportunities into a priority map. Moreover it was designed into five aspects such as (1) local technology of the RE: a case of pilot project of the LWP; (2) environmental?cultural aspects related to global issues of energy?renewable energy; (3) potencies and barriers corresponding to local national regional and international contents; (4) education and training and (5) gender participation. To focus the formulation serial preliminary surveys were conducted in five major areas namely: (1) survey on support and barrier factors of the aspects; (2) strategic planning model a concept A?B?G which stands for Academician?Business people?Government; (3) survey on background based knowledge on energy conservation; (4) survey on gender participation in energy conservation and (5) survey on local stakeholder involvement. Throughout the surveys it has been notified that the concept needs to be developed to any level of its component since its elements were identified in tolerance values such as high potency value of the LWP development (95%); a strong potency of rural area application (88%); a medium background of energy energy conservation (EC) identified in a range of 56%?72% sufficient support from local stakeholders and gender participation.

Ahmad Taufik

2007-01-01T23:59:59.000Z

238

wind power station  

Science Journals Connector (OSTI)

wind power station [It may consist of just one wind turbine or a network of windmills] ? Windkraftanlage

2014-08-01T23:59:59.000Z

239

Stakeholder Engagement and Outreach: Community-Scale 50-Meter Wind Maps  

Wind Powering America (EERE)

Community-Scale 50-Meter Wind Maps Community-Scale 50-Meter Wind Maps The Stakeholder Engagement and Outreach initiative provides 50-meter (m) height, high-resolution wind resource maps for most of the states and territories of Puerto Rico and the Virgin Islands in the United States. Counties, towns, utilities, and schools use community-scale wind resource maps to locate and quantify the wind resource, identifying potentially windy sites determining a potential site's economic and technical viability. Map of the updated wind resource assessment status for the United States. Go to the Washington wind resource map. Go to the Oregon wind resource map. Go to the California wind resource map. Go to the Nevada wind resource map. Go to the Idaho wind resource map. Go to the Utah wind resource map. Go to the Arizona wind resource map. Go to the Montana wind resource map. Go to the Wyoming wind resource map. Go to the Colorado wind resource map. Go to the New Mexico wind resource map. Go to the North Dakota wind resource map. Go to the South Dakota wind resource map. Go to the Nebraska wind resource map. Go to the Kansas wind resource map. Go to the Oklahoma wind resource map. Go to the Missouri wind resource map. Go to the Alaska wind resource map. Go to the Hawaii wind resource map. Go to the Michigan wind resource map. Go to the Illinois wind resource map. Go to the Indiana wind resource map. Go to the Ohio wind resource map. Go to the North Carolina wind resource map. Go to the Virginia wind resource map. Go to the Maryland wind resource map. Go to the West Virginia wind resource map. Go to the Pennsylvania wind resource map. Go to the Rhode Island wind resource map. Go to the Connecticut wind resource map. Go to the Massachusetts wind resource map. 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 Kentucky wind resource map. Go to the Tennessee wind resource map. Go to the Arkansas wind resource map. Go to the Puerto Rico wind resource map. Go to the U.S. Virgin Islands wind resource map. Go to the New Jersey wind resource map. Go to the Delaware wind resource map.

240

American Institute of Aeronautics and Astronautics An Experimental Study on the Performances of Wind  

E-Print Network (OSTI)

development of offshore wind farms, which will play more important role in the coming years, onshore wind farm. To realize this target, exploitation of areas with high wind potential such as deep offshore and mountainous must continue to contribute to the overall growth of wind energy. Before the wind farm is actually

Hu, Hui

Note: This page contains sample records for the topic "determine area wind" 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

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

242

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

243

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

244

Community Wind Toolkit | Open Energy Information  

Open Energy Info (EERE)

Wind Toolkit Wind Toolkit Jump to: navigation, search "Community wind" refers to a class of wind energy ownership structures. Projects are considered "community" projects when they are at least partially owned by individuals or businesses in the state and local area surrounding the wind power project. The community element of these projects can be defined narrowly so that ownership is concentrated in the county or region where the project is built, or it may be defined broadly so that project investors are from the state where the project is sited. Furthermore, the extent of local ownership may range from a small minority share to full ownership by persons in the immediate area surrounding the wind project site. Potential project owners include local farmers,

245

United States Wind Resource Potential Chart  

Wind Powering America (EERE)

18,000 18,000 Rated Capacity Above Indicated CF (GW) United States - Wind Resource Potential Cumulative Rated Capacity vs. Gross Capacity Factor (CF) 80 m The estimates show the potential gigawatts of rated capacity that could be installed on land above a given gross capacity factor (without losses) at 80-m and 100-m heights above ground. Areas greater than 30% at 80 m are generally considered to have suitable wind resource for potential wind development with today's advanced wind turbine technology. AWS Truewind, LLC developed the wind resource data for windNavigator® (http://navigator.awstruewind.com) with a spatial resolution of 200 m. NREL filtered the wind potential estimates to

246

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

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

Energy Authority will use modeling and analysis to determine the best performing wind energy systems for Alaska. This project includes upgrading the HOMER wind-diesel-solar...

247

Semi-analytical model of brine and CO2 leakage through an abandoned plugged well. Applications for determining an Area of Review and CO2 leakage rate  

E-Print Network (OSTI)

Semi-analytical model of brine and CO2 leakage through an abandoned plugged well. Applications for determining an Area of Review and CO2 leakage rate Arnaud Réveillère, Jérémy Rohmer, Frédéric Wertz / contact the leak, and of CO2,g as a first approach. Compared to the state of the art, it adds the possibility

Paris-Sud XI, Université de

248

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

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

Power Economics: Past, Present, 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 turbine prices in the United States have declined, on average, by nearly one-third since 2008, after doubling from 2002 through 2008. Over this entire period, the average nameplate capacity rating, hub height, and rotor swept area of turbines installed in the United States have increased significantly, while other design improvements have also boosted turbine energy production. In combination, these various trends have had a significant-and sometimes surprising-impact on the levelized cost of energy delivered by wind projects. This webinar will feature three related presentations that explore these

249

area | OpenEI  

Open Energy Info (EERE)

area area Dataset Summary Description These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (United States) as processed for use in the IMAGE model. The high resolution datasets were produced by the National Renewable Energy Laboratory (United States), Risø DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data repr Source National Renewable Energy Laboratory Date Released Unknown Date Updated Unknown Keywords area capacity clean energy international National Renewable Energy Laboratory

250

Heuristic correction of wind speed mesoscale models simulations for wind farms prospecting and micrositing  

Science Journals Connector (OSTI)

Abstract The distribution of surface-level wind speeds over a given area is important information that is related to several processes in wind farm prospecting, design and micrositing. This information is often obtained from simulations using mesoscale models that take variables from global models as starting points. Improved outputs from mesoscale models can lead to reduced error compared to real wind speeds in the study area if in situ wind speed measurements are available. In this paper, we present several techniques to correct surface wind speed simulations from mesoscale models using data from measuring stations in wind farms. Specifically, we propose different heuristic corrections of the outputs from mesoscale models by means of surface fitting between the Weibull parameters of the wind speed series (from the mesoscale model) and those from the measuring stations (real wind speed) in the wind farm. The proposed methodology has direct applications in wind farm design, site prospection and micrositing. The good performance of our method is evident in the more accurate surface wind speeds obtained from mesoscale models in two wind farm prospection sites in Spain, where several measuring towers are installed.

B. Saavedra-Moreno; S. Salcedo-Sanz; C. Casanova-Mateo; J.A. Portilla-Figueras; L. Prieto

2014-01-01T23:59:59.000Z

251

On the effect of spatial dispersion of wind power plants on the wind energy capacity credit  

Science Journals Connector (OSTI)

Wind energy is now a mature technology and can be considered as a significant contributor in reducing CO2 emissions and protecting the environment. To meet the wind energy national targets, effective implementation of massive wind power installed capacity in the power supply system is required. Additionally, capacity credit is an important issue for an unstable power supply system as in Greece. To achieve high and reliable wind energy penetration levels into the system, the effect of spatial dispersion of wind energy installations within a very wide area (e.g.national level) on the power capacity credit should be accounted for. In the present paper, a methodology for estimating the effect of spatial dispersion of wind farm installations on the capacity credit is presented and applied for the power supply system of Greece. The method is based on probability theory and makes use of wind forecasting models to represent the wind energy potential over any candidate area for future wind farm installations in the country. Representative wind power development scenarios are studied and evaluated. Results show that the spatial dispersion of wind power plants contributes beneficially to the wind capacity credit.

George Caralis; Yiannis Perivolaris; Konstantinos Rados; Arthouros Zervos

2008-01-01T23:59:59.000Z

252

Potential wind power generation in South Egypt  

Science Journals Connector (OSTI)

Egypt is one of the developing countries. The production of electricity in Egypt is basically on petroleum, natural gas, hydro-power and wind energy. The objective of this work to prove the availability of sufficient wind potential in the wide area of deep south Egypt for the operation of wind turbines there. Nevertheless, it gives in general an approximate profile which is useful to the wind parks design for this area. The data used in the calculation are published and analyzed for the first time. The diagrams of the measured wind data for three meteorological stations over a period of two years (wind speed, frequency, direction), wind shear coefficient, the mean monthly and annual wind speed profile for every location are presented. Monthly Weibull parameters, standard deviation and coefficient of variation have been statistically discussed. A comparison of the rose diagrams shows that the wind speed is more persistent and blow over this region of Egypt in two main sectors N and NNW with long duration of frequencies from 67% to 87% over the year with an average wind speed in the range 6.87.9m/s at the three stations. Evaluation of monthly wind energy density at 10m height by two different methods was carried out. And the final diagram for every site shows no significant difference between them. The annual natural wind energies at 70m A.G.L. lie between 333 and 377W/m2 for Dakhla South and Kharga stations, respectively, which is similar to the inland wind potential of Vindeby (Denmark) and some European countries. These results indicate that Kharga and Dakhla South locations are new explored sites for future wind power generation projects.

Ahmed Shata Ahmed

2012-01-01T23:59:59.000Z

253

Western Employee Presents Wind Award to Minnkota | Department of Energy  

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

Western Employee Presents Wind Award to Minnkota Western Employee Presents Wind Award to Minnkota Western Employee Presents Wind Award to Minnkota April 7, 2011 - 2:47pm Addthis Randy Manion Director of Renewable Energy, Western Area Power Administration What are the key facts? The Wind Cooperative of the Year award was created in 2002 to recognize electric cooperatives for leadership in wind development. The 2011 award recognized Minnkota Power Cooperative for developing North Dakota's first utility-owned wind turbine and investing in wind energy. Wind now represents 30 percent of the cooperative's total generation and transmission energy requirements. As the Renewable Energy Program manager for the Western Area Power Administration, I had the opportunity to showcase the Department of Energy's Wind Powering America initiative at the National Rural Electric

254

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

255

Wind Energy Assessment Study for Nevada -- Tall Tower Deployment (Stone Cabin): 26 June 2005 - 31 December 2007  

SciTech Connect

The objective of this work effort was to characterize wind shear and turbulence for representative wind-developable areas in Nevada.

Koracin, D.; Reinhardt, R.; McCurdy, G.; Liddle, M.; McCord, T.; Vellore, R.; Minor, T.; Lyles, B.; Miller, D.; Ronchetti, L.

2009-12-01T23:59:59.000Z

256

Hi-Q Rotor - Low Wind Speed Technology  

SciTech Connect

The project objective was to optimize the performance of the Hi-Q Rotor. Early research funded by the California Energy Commission indicated the design might be advantageous over state-of-the-art turbines for collecting wind energy in low wind conditions. The Hi-Q Rotor is a new kind of rotor targeted for harvesting wind in Class 2, 3, and 4 sites, and has application in areas that are closer to cities, or 'load centers.' An advantage of the Hi-Q Rotor is that the rotor has non-conventional blade tips, producing less turbulence, and is quieter than standard wind turbine blades which is critical to the low-wind populated urban sites. Unlike state-of-the-art propeller type blades, the Hi-Q Rotor has six blades connected by end caps. In this phase of the research funded by DOE's Inventions and Innovation Program, the goal was to improve the current design by building a series of theoretical and numeric models, and composite prototypes to determine a best of class device. Development of the rotor was performed by aeronautical engineering and design firm, DARcorporation. From this investigation, an optimized design was determined and an 8-foot diameter, full-scale rotor was built and mounted using a Bergey LX-1 generator and furling system which were adapted to support the rotor. The Hi-Q Rotor was then tested side-by-side against the state-of-the-art Bergey XL-1 at the Alternative Energy Institute's Wind Test Center at West Texas State University for six weeks, and real time measurements of power generated were collected and compared. Early wind tunnel testing showed that the cut-in-speed of the Hi-Q rotor is much lower than a conventional tested HAWT enabling the Hi-Q Wind Turbine to begin collecting energy before a conventional HAWT has started spinning. Also, torque at low wind speeds for the Hi-Q Wind Turbine is higher than the tested conventional HAWT and enabled the wind turbine to generate power at lower wind speeds. Based on the data collected, the results of our first full-scale prototype wind turbine proved that higher energy can be captured at lower wind speeds with the new Hi-Q Rotor. The Hi-Q Rotor is almost 15% more productive than the Bergey from 6 m/s to 8 m/s, making it ideal in Class 3, 4, and 5 wind sites and has application in the critical and heretofore untapped areas that are closer to cities, 'load centers,' and may even be used directly in urban areas. The additional advantage of the Hi-Q Rotor's non-conventional blade tips, which eliminates most air turbulence, is noise reduction which makes it doubly ideal for populated urban areas. Hi-Q Products recommends one final stage of development to take the Hi-Q Rotor through Technology Readiness Levels 8-9. During this stage of development, the rotor will be redesigned to further increase efficiency, match the rotor to a more suitable generator, and lower the cost of manufacturing by redesigning the structure to allow for production in larger quantities at lower cost. Before taking the rotor to market and commercialization, it is necessary to further optimize the performance by finding a better generator and autofurling system, ones more suitable for lower wind speeds and rpms should be used in all future testing. The potential impact of this fully developed technology will be the expansion and proliferation of energy renewal into the heretofore untapped Class 2, 3, 4, and 5 Wind Sites, or the large underutilized sites where the wind speed is broken by physical features such as mountains, buildings, and trees. Market estimates by 2011, if low wind speed technology can be developed are well above: 13 million homes, 675,000 commercial buildings, 250,000 public facilities. Estimated commercial exploitation of the Hi-Q Rotor show potential increase in U.S. energy gained through the clean, renewable wind energy found in low and very low wind speed sites. This new energy source would greatly impact greenhouse emissions as well as the public sector's growing energy demands.

Todd E. Mills; Judy Tatum

2010-01-11T23:59:59.000Z

257

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

ANL Wind Power Forecasting and Electricity Markets ANL Wind Power Forecasting and Electricity Markets Jump to: navigation, search Logo: Wind Power Forecasting and Electricity Markets Name Wind Power Forecasting and Electricity Markets Agency/Company /Organization Argonne National Laboratory Partner Institute for Systems and Computer Engineering of Porto (INESC Porto) in Portugal, Midwest Independent System Operator and Horizon Wind Energy LLC, funded by U.S. Department of Energy Sector Energy Focus Area Wind Topics Pathways analysis, Technology characterizations Resource Type Software/modeling tools Website http://www.dis.anl.gov/project References Argonne National Laboratory: Wind Power Forecasting and Electricity Markets[1] Abstract To improve wind power forecasting and its use in power system and electricity market operations Argonne National Laboratory has assembled a team of experts in wind power forecasting, electricity market modeling, wind farm development, and power system operations.

258

Modelling and analysis of a novel wind turbine structure  

Science Journals Connector (OSTI)

This study introduces a novel wind turbine structure for an urban environment. A computational modelling has been conducted to investigate the effect of the new structure on the flow behaviour of entrance wind through the structure and the feasibility of the new wind turbine working at different wind speeds in an urban area. The wind flow behaviour through a chamber of the wind turbine structure has resulted in an increase of 1.3 times of the wind velocity at the outlet of the wind turbine. This is equivalent to 2.5 times increase of wind energy. The wind tunnel tests were carried out to validate the simulation results. There is a good correlation between the experimental and computational results. It is evident that the presented computational method can predict and evaluate the performance of this new type of shroud structure in an urban environment.

Xu Zhang; Yong K. Chen; Rajnish K. Calay

2013-01-01T23:59:59.000Z

259

Jilin Taihe Wind Power Limited | Open Energy Information  

Open Energy Info (EERE)

Taihe Wind Power Limited Taihe Wind Power Limited Jump to: navigation, search Name Jilin Taihe Wind Power Limited Place Zhenlai, Jilin Province, China Sector Wind energy Product Top Well and Tianjin DH entered into a contract to establish a joint venture in Zhenlai, in Chinaâ€(tm)s Jilin province to develop a 50MW wind farm in the area under the name Jilin Taihe Wind Power Limited. References Jilin Taihe Wind Power Limited[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Jilin Taihe Wind Power Limited is a company located in Zhenlai, Jilin Province, China . References ↑ "Jilin Taihe Wind Power Limited" Retrieved from "http://en.openei.org/w/index.php?title=Jilin_Taihe_Wind_Power_Limited&oldid=347531

260

Wind Technologies & Evolving Opportunities (Presentation)  

SciTech Connect

This presentation covers opportunities for wind technology; wind energy market trends; an overview of the National Wind Technology Center near Boulder, Colorado; wind energy price and cost trends; wind turbine technology improvements; and wind resource characterization improvements.

Robichaud, R.

2014-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "determine area wind" 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

An Exploration of Wind Energy & Wind Turbines | Department of...  

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

An Exploration of Wind Energy & Wind Turbines An Exploration of Wind Energy & Wind Turbines Below is information about the student activitylesson plan from your search. Grades...

262

A National Offshore Wind Strategy: Creating an Offshore Wind...  

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

A National Offshore Wind Strategy: Creating an Offshore Wind Energy Industry in the United States A National Offshore Wind Strategy: Creating an Offshore Wind Energy Industry in...

263

20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology...  

Office of Environmental Management (EM)

20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply U.S. Offshore Wind Manufacturing and Supply Chain Development Wind Program Accomplishments...

264

Wind pro?le assessment for wind power purposes.  

E-Print Network (OSTI)

??Preliminary estimation of wind speed at the wind turbine hub height is critically important when planning new wind farms. Wind turbine power output is proportional (more)

Sointu, Iida

2014-01-01T23:59:59.000Z

265

Collegiate Wind Competition Engages Tomorrow's Wind Energy Innovators...  

Office of Environmental Management (EM)

Collegiate Wind Competition Engages Tomorrow's Wind Energy Innovators Collegiate Wind Competition Engages Tomorrow's Wind Energy Innovators January 6, 2014 - 10:00am Addthis 2014...

266

Wind for Schools Project Power System Brief, Wind Powering America...  

Wind Powering America (EERE)

Wind Powering America Fact Sheet Series Energy Efficiency & Renewable Energy Wind for Schools Project Power System Brief Wind for Schools Project Power System Brief Wind for...

267

U.S. Wind Energy Manufacturing and Supply Chain: A Competitiveness Analysis  

SciTech Connect

The goal of the project was to develop a greater understanding of the key factors determining wind energy component manufacturing costs and pricing on a global basis in order to enhance the competitiveness of U.S. manufacturers, and to reduce installed systems cost. Multiple stakeholders including DOE, turbine OEMs, and large component manufactures will all benefit by better understanding the factors determining domestic competitiveness in the emerging offshore and next generation land-based wind industries. Major objectives of this project were to: 1. Carry out global cost and process comparisons for 5MW jacket foundations, blades, towers, and permanent magnet generators; 2. Assess U.S. manufacturers competitiveness and potential for cost reduction; 3. Facilitate informed decision-making on investments in U.S. manufacturing; 4. Develop an industry scorecard representing the readiness of the U.S. manufacturers to produce components for the next generations of wind turbines, nominally 3MW land-based and 5MW offshore; 5. Disseminate results through the GLWN Wind Supply Chain GIS Map, a free website that is the most comprehensive public database of U.S. wind energy suppliers; 6. Identify areas and develop recommendations to DOE on potential R&D areas to target for increasing domestic manufacturing competitiveness, per DOEs Clean Energy Manufacturing Initiative (CEMI). Lists of Deliverables 1. Cost Breakdown Competitive Analyses of four product categories: tower, jacket foundation, blade, and permanent magnet (PM) generator. The cost breakdown for each component includes a complete Bill of Materials with net weights; general process steps for labor; and burden adjusted by each manufacturer for their process categories of SGA (sales general and administrative), engineering, logistics cost to a common U.S. port, and profit. 2. Value Stream Map Competitiveness Analysis: A tool that illustrates both information and material flow from the point of getting a customer order at the manufacturing plant; to the orders being forwarded by the manufacturing plant to the material suppliers; to the material being received at the manufacturing plant and processed through the system; to the final product being shipped to the Customer. 3. Competitiveness Scorecard: GLWN developed a Wind Industry Supply Chain Scorecard that reflects U.S. component manufacturers readiness to supply the next generation wind turbines, 3MW and 5MW, for land-based and offshore applications. 4. Wind Supply Chain Database & Map: Expand the current GLWN GIS Wind Supply Chain Map to include offshore elements. This is an on-line, free access, wind supply chain map that provides a platform for identifying active and emerging suppliers for the land-based and offshore wind industry, including turbine component manufacturers and wind farm construction service suppliers.

Fullenkamp, Patrick H; Holody, Diane S

2014-06-15T23:59:59.000Z

268

Off-shore wind power potential evaluation and economy analysis of entire Japan using GIS technology  

Science Journals Connector (OSTI)

Off-shore wind energy has been drawing interest recently. This research is focusing on the potential analysis of off-shore wind energy surrounding entire Japan coast using GIS technology. Base on the economy and environment assessment, this research is evaluating the current situation and forecasting on future of wind energy technology in Japan. In order to reduce the green-house gas emission, renewable energy (such as wind energy, solar energy, fuel cell) will gradually substitute can be installed the primary energy resource (such as coal, oil, scale gas). Based on GIS technique, wind power turbines in the surrounding area of Japanese coast-line. In the study, 2,000 kW rated wind turbines are considered for further installation. As the result of this study, we have determined that 108,067 in 330 places number of off-shore with annual generation of 180.0 TWh are expected. This is equal to 20% of annual total generated power of Japan in 2010. Wind speed 6 m/s or more of the coastline, the average cost of electricity is about generation cost is within 10 to 17 Japanese Yen/kWh and construction cost is within 139,445 Japanese Yen/kW to 240,366 Japanese Yen/kW.

Asifujiang Abudureyimu; Yoshiki Hayashi; Zulati Litifu; Ken Nagasaka

2012-01-01T23:59:59.000Z

269

Dynamic characteristics analysis of the offshore wind turbine blades  

Science Journals Connector (OSTI)

The topic of offshore wind energy is attracting more and more attention ... . The blades are the key components of offshore wind turbines, and their dynamic characteristics directly determine the effectiveness of...

Jing Li; Jianyun Chen; Xiaobo Chen

2011-03-01T23:59:59.000Z

270

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.an Order Revising the Wind Integration Rate for Wind Powered

Wiser, Ryan

2010-01-01T23:59:59.000Z

271

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

2010. SPP WITF Wind Integration Study. Little Rock,an Order Revising the Wind Integration Rate for Wind PoweredPacifiCorp. 2010. 2010 Wind Integration Study. Portland,

Wiser, Ryan

2012-01-01T23:59:59.000Z

272

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

273

Sandia National Laboratories: Wind Resources  

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

EnergyWind Resources Wind Resources Comments are closed. Renewable Energy Wind Energy Wind Plant Optimization Test Site Operations & Maintenance Safety: Test Facilities Capital...

274

Sandia National Laboratories: wind energy  

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

Wind Energy Manufacturing Lab Helps Engineers Improve Wind Power On November 15, 2011, in Energy, News, Partnership, Renewable Energy, Wind Energy Researchers at the Wind Energy...

275

Wind Energy | Department of Energy  

Office of Environmental Management (EM)

Wind Energy Wind Energy Below are resources for Tribes on wind energy technologies. 2012 Market Report on Wind Technologies in Distributed Applications Includes a breakdown of...

276

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":""}]}

277

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":""}]}

278

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

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

May 30, 2013 May 30, 2013 CX-010215: Categorical Exclusion Determination Laufer Wind Group National Wind Technology Center Structure Lighting Tests CX(s) Applied: B1.31, B5.15 Date: 05/30/2013 Location(s): Colorado Offices(s): Golden Field Office May 30, 2013 CX-010483: Categorical Exclusion Determination Man Hole Cover Assembly Replacement CX(s) Applied: B1.3 Date: 05/30/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office May 29, 2013 CX-010508: Categorical Exclusion Determination Cloud County Community College Wind Turbine CX(s) Applied: A9, A11, B3.14 Date: 05/29/2013 Location(s): Kansas Offices(s): Golden Field Office May 29, 2013 CX-010480: Categorical Exclusion Determination Development of a Multi-User Network Testbed for Wide-Area Monitoring and

279

White Etch Areas: Metallurgical Characterization and Atomistic...  

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

and Atomistic Modeling Presented by R. Scott Hyde of Timken Company at the 2014 Wind Turbine Tribology Seminar Timken Hyde White Etch Areas ANL Presentation Oct 2014...

280

EA-1611: Colorado Highlands Wind Project, Logan County, Colorado...  

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

Project, Logan County, Colorado EA-1611: Colorado Highlands Wind Project, Logan County, Colorado SUMMARY DOE's Western Area Power Administration prepared an EA in 2009 to assess...

Note: This page contains sample records for the topic "determine area wind" 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

Offshore Wind Research and Development | Department of Energy  

Office of Environmental Management (EM)

and advanced technology demonstration. Technology Development Offshore wind turbines are frequently located far from shore, more than 60 percent, are in areas where...

282

Development of learning material to wind power courses.  

E-Print Network (OSTI)

??Wind power plants are more and more commonly used as power production units, which lead to an increased demand of educated personnel within the area. (more)

Bruhn, Kristin; Lorensson, Sofia

2009-01-01T23:59:59.000Z

283

New England Wind Forum: Wind Compared to the Cost of Other Electricity  

Wind Powering America (EERE)

Wind Compared to the Cost of Other Electricity Generation Options Wind Compared to the Cost of Other Electricity Generation Options Figure 1: Average Cumulative Wind and Wholesale Power Prices by Region The chart shows average cumulative wind and wholesale power prices by region. Click on the graph to view a larger version. View a larger version of the graph. In terms of direct costs, larger wind farms in windier areas are now considered economically competitive with "conventional" fossil fuel power plants in many locations. In New England, direct costs for wind power at larger sites with strong winds are approaching the cost of alternatives, particularly given the recent high natural gas and oil prices. Figure 1 compares wind contract prices1 with wholesale electricity market prices in different U.S. regions for 2006. Although not directly comparable to wind prices due to wind's production timing and intermittence, the value of wind Renewable Energy Credits and carbon offsets, and the cost of wind integration and transmission, the average wholesale market energy price is a good indicator of the cost of alternative generation options. This graph demonstrates several points:

284

Coastal Ohio Wind Project  

SciTech Connect

The Coastal Ohio Wind Project intends to address problems that impede deployment of wind turbines in the coastal and offshore regions of Northern Ohio. The project evaluates different wind turbine designs and the potential impact of offshore turbines on migratory and resident birds by developing multidisciplinary research, which involves wildlife biology, electrical and mechanical engineering, and geospatial science. Firstly, the project conducts cost and performance studies of two- and three-blade wind turbines using a turbine design suited for the Great Lakes. The numerical studies comprised an analysis and evaluation of the annual energy production of two- and three-blade wind turbines to determine the levelized cost of energy. This task also involved wind tunnel studies of model wind turbines to quantify the wake flow field of upwind and downwind wind turbine-tower arrangements. The experimental work included a study of a scaled model of an offshore wind turbine platform in a water tunnel. The levelized cost of energy work consisted of the development and application of a cost model to predict the cost of energy produced by a wind turbine system placed offshore. The analysis found that a floating two-blade wind turbine presents the most cost effective alternative for the Great Lakes. The load effects studies showed that the two-blade wind turbine model experiences less torque under all IEC Standard design load cases considered. Other load effects did not show this trend and depending on the design load cases, the two-bladed wind turbine showed higher or lower load effects. The experimental studies of the wake were conducted using smoke flow visualization and hot wire anemometry. Flow visualization studies showed that in the downwind turbine configuration the wake flow was insensitive to the presence of the blade and was very similar to that of the tower alone. On the other hand, in the upwind turbine configuration, increasing the rotor blade angle of attack reduced the wake size and enhanced the vortices in the flow downstream of the turbine-tower compared with the tower alone case. Mean and rms velocity distributions from hot wire anemometer data confirmed that in a downwind configuration, the wake of the tower dominates the flow, thus the flow fields of a tower alone and tower-turbine combinations are nearly the same. For the upwind configuration, the mean velocity shows a narrowing of the wake compared with the tower alone case. The downwind configuration wake persisted longer than that of an upwind configuration; however, it was not possible to quantify this difference because of the size limitation of the wind tunnel downstream of the test section. The water tunnel studies demonstrated that the scale model studies could be used to adequately produce accurate motions to model the motions of a wind turbine platform subject to large waves. It was found that the important factors that affect the platform is whether the platform is submerged or surface piercing. In the former, the loads on the platform will be relatively reduced whereas in the latter case, the structure pierces the wave free surface and gains stiffness and stability. The other important element that affects the movement of the platform is depth of the sea in which the wind turbine will be installed. Furthermore, the wildlife biology component evaluated migratory patterns by different monitoring systems consisting of marine radar, thermal IR camera and acoustic recorders. The types of radar used in the project are weather surveillance radar and marine radar. The weather surveillance radar (1988 Doppler), also known as Next Generation Radar (NEXRAD), provides a network of weather stations in the US. Data generated from this network were used to understand general migratory patterns, migratory stopover habitats, and other patterns caused by the effects of weather conditions. At a local scale our marine radar was used to complement the datasets from NEXRAD and to collect additional monitoring parameters such as passage rates, flight paths, flight directi

Gorsevski, Peter; Afjeh, Abdollah; Jamali, Mohsin; Bingman, Verner

2014-04-04T23:59:59.000Z

285

Quantifying the hurricane risk to offshore wind turbines  

Science Journals Connector (OSTI)

...Quantifying the hurricane risk to offshore wind turbines 10.1073/pnas.1111769109...observed in typhoons, but no offshore wind turbines have yet been built in the...Gulf coast is 460 GW (2). Offshore wind turbines in these areas will be at...

Stephen Rose; Paulina Jaramillo; Mitchell J. Small; Iris Grossmann; Jay Apt

2012-01-01T23:59:59.000Z

286

Performance of building cladding in urban environments under extreme winds  

E-Print Network (OSTI)

Performance of building cladding in urban environments under extreme winds By Tiphaine Williamsa ABSTRACT: When tropical storms, hurricanes, typhoons and other extreme wind events make landfall-rise construction in these regions, as well as other areas impacted by extreme wind events, generally reveal

Kareem, Ahsan

287

Revisiting the Long-Term Hedge Value of Wind Power in an Era of Low Natural Gas Prices  

E-Print Network (OSTI)

other words, adding wind power to a portfolio of generatingexcellent wind resource areas are already selling power towhich wind power projects in the U.S. sell their power to

Bolinger, Mark

2014-01-01T23:59:59.000Z

288

Wind pump systems  

Science Journals Connector (OSTI)

The application of wind mills for water pumping is of lesser importance ... it is useful to discuss this type of wind energy application in a wind energy book targeted at development and planning...

Prof. Dr.-Ing. Robert Gasch; Prof. Dr.-Ing. Jochen Twele

2012-01-01T23:59:59.000Z

289

NREL: Wind Research - Testing  

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

the National Wind Technology Center (NWTC) support the installation and testing of wind turbines that range in size from 400 watts to 5.0 megawatts. Engineers provide wind...

290

Fixed Offshore Wind Turbines  

Science Journals Connector (OSTI)

In this chapter, a perspective of offshore wind farms, applied concepts for fixed offshore wind turbines, and related statistics are given. One example of a large wind farm, which is successfully operating, is st...

Madjid Karimirad

2014-01-01T23:59:59.000Z

291

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.

Not Available

2006-05-01T23:59:59.000Z

292

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.

Not Available

2007-05-01T23:59:59.000Z

293

IEA Wind Task 26 - Multi-national Case Study of the Financial Cost of Wind  

Open Energy Info (EERE)

IEA Wind Task 26 - Multi-national Case Study of the Financial Cost of Wind IEA Wind Task 26 - Multi-national Case Study of the Financial Cost of Wind Energy, Work Package 1, Final Report Jump to: navigation, search Tool Summary Name: IEA Wind Task 26 - Multi-national Case Study of the Financial Cost of Wind Energy, Work Package 1, Final Report Agency/Company /Organization: National Renewable Energy Laboratory Partner: International Energy Agency Sector: Energy Focus Area: Wind Topics: Market analysis, Technology characterizations Resource Type: Case studies/examples, Dataset, Technical report Website: nrelpubs.nrel.gov/Webtop/ws/nich/www/public/Record?rpp=25&upp=0&m=2&w= Country: Denmark, United States, Spain, Netherlands, Germany, Sweden, Switzerland Cost: Free UN Region: Northern America, Northern Europe, Western Europe

294

Practical method for estimating wind characteristics at potential wind-energy-conversion sites  

SciTech Connect

Terrain features and variations in the depth of the atmospheric boundary layer produce local variations in wind, and these variations are not depicted well by standard weather reports. A method is developed to compute local winds for use in estimating the wind energy available at any potential site for a wind turbine. The method uses the terrain heights for an area surrounding the site and a series of wind and pressure reports from the nearest four or five national Weather Service stations. An initial estimate of the winds in the atmospheric boundary layer is made, then these winds are adjusted to satisfy the continuity equation. In this manner the flow is made to reflect the influences of the terrain and the shape of the boundary-layer top. This report describes in detail the methodology and results, and provides descriptions of the computer programs, instructions for using them, and complete program listings.

Endlich, R. M.; Ludwig, F. L.; Bhumralkar, C. M.; Estoque, M. A.

1980-08-01T23:59:59.000Z

295

Impacts of wind power on PJM market development  

Science Journals Connector (OSTI)

Recently, there has been a substantial growth in wind energy in the USA. An increasing number of states are experiencing market design, planning and investment in wind energy with this growth. Currently, wind installations exist in more than half of the states. This paper explores the market factors that have been driven and affected by large-scale wind energy development in the USA, particularly in PJM control area that have achieved in recent years and will have a substantial amount of wind energy investment in the next 10??15 years. In this paper, we also identify the key issues for wind power planning and interconnection.

Zhenyu Fan; Hui Ni

2008-01-01T23:59:59.000Z

296

Wind farm noise  

Science Journals Connector (OSTI)

Arrays of small wind turbines recently coined as wind farms offer several advantages over single larger wind turbines producing the same electrical power. Noise source characteristics of wind farms are also different from those associated with a single wind turbine. One?third octave band noise measurements from 2 Hz to 10 kHz have been made and will be compared to measurements of noise produced by a single large wind turbine. [J. R. Balombin Technical Memorandum 81486.

Gregory C. Tocci; Brion G. Koning

1981-01-01T23:59:59.000Z

297

Dynamic Models for Wind Turbines and Wind Power Plants  

SciTech Connect

The primary objective of this report was to develop universal manufacturer-independent wind turbine and wind power plant models that can be shared, used, and improved without any restrictions by project developers, manufacturers, and engineers. Manufacturer-specific models of wind turbines are favored for use in wind power interconnection studies. While they are detailed and accurate, their usages are limited to the terms of the non-disclosure agreement, thus stifling model sharing. The primary objective of the work proposed is to develop universal manufacturer-independent wind power plant models that can be shared, used, and improved without any restrictions by project developers, manufacturers, and engineers. Each of these models includes representations of general turbine aerodynamics, the mechanical drive-train, and the electrical characteristics of the generator and converter, as well as the control systems typically used. To determine how realistic model performance is, the performance of one of the models (doubly-fed induction generator model) has been validated using real-world wind power plant data. This work also documents selected applications of these models.

Singh, M.; Santoso, S.

2011-10-01T23:59:59.000Z

298

Simulating Turbulent Wind Fields for Offshore Turbines in Hurricane-Prone Regions (Poster)  

SciTech Connect

Extreme wind load cases are one of the most important external conditions in the design of offshore wind turbines in hurricane prone regions. Furthermore, in these areas, the increase in load with storm return-period is higher than in extra-tropical regions. However, current standards have limited information on the appropriate models to simulate wind loads from hurricanes. This study investigates turbulent wind models for load analysis of offshore wind turbines subjected to hurricane conditions. Suggested extreme wind models in IEC 61400-3 and API/ABS (a widely-used standard in oil and gas industry) are investigated. The present study further examines the wind turbine response subjected to Hurricane wind loads. Three-dimensional wind simulator, TurbSim, is modified to include the API wind model. Wind fields simulated using IEC and API wind models are used for an offshore wind turbine model established in FAST to calculate turbine loads and response.

Guo, Y.; Damiani, R.; Musial, W.

2014-04-01T23:59:59.000Z

299

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":""}]}

300

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

Note: This page contains sample records for the topic "determine area wind" 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 Turbine Tribology Seminar  

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

Wind turbine reliability issues are often linked to failures of contacting components, such as bearings, gears, and actuators. Therefore, special consideration to tribological design in wind...

302

Wind energy bibliography  

SciTech Connect

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

303

Northern Wind Farm  

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

a draft environmental assessment (EA) on the proposed interconnection of the Northern Wind Farm (Project) in Roberts County, near the city of Summit, South Dakota. Northern Wind,...

304

Wind Program News  

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

eerewindwind-program-news en EERE Leadership Celebrates Offshore Wind in Maine http:energy.goveerearticleseere-leadership-celebrates-offshore-wind-maine

305

British wind band music.  

E-Print Network (OSTI)

??I have chosen to be assessed as an interpreter and conductor of British wind band music from the earliest writings for wind band up to, (more)

Jones, GO

2005-01-01T23:59:59.000Z

306

WINDExchange: Wind Energy Ordinances  

Wind Powering America (EERE)

Wind Energy Ordinances Federal, state, and local regulations govern many aspects of wind energy development. The exact nature of the project and its location will largely drive the...

307

Wind Program: WINDExchange  

Wind Powering America (EERE)

Version Bookmark and Share WINDExchange logo WINDExchange is the U.S. Department of Energy (DOE) Wind Program's platform for disseminating credible information about wind...

308

WINDExchange: Siting Wind Turbines  

Wind Powering America (EERE)

Wind Wildlife Institute (AWWI) facilitates timely and responsible development of wind energy, while protecting wildlife and wildlife habitat. AWWI was created and is sustained by...

309

WINDExchange: Collegiate Wind Competition  

Wind Powering America (EERE)

& Teaching Materials Resources Collegiate Wind Competition The U.S. Department of Energy (DOE) Collegiate Wind Competition challenges interdisciplinary teams of undergraduate...

310

ARM - Wind Chill Calculations  

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

FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Wind Chill Calculations Wind Chill is the apparent temperature felt on the exposed human...

311

Landowners and Wind Energy Development | Open Energy Information  

Open Energy Info (EERE)

Landowners and Wind Energy Development Landowners and Wind Energy Development Jump to: navigation, search Photo from Cielo Wind Power Corporation, NREL 10558 Many people will benefit from the clean air and economic growth brought about by wind power development, but farmers and other rural landowners may benefit the most. The best wind resources tend to be located in rural areas and on farmland in the Great Plains states. Wind power can provide a new cash crop for farmers and ranchers. Large wind turbines use only about one quarter-acre of land, including access roads, so farmers can continue to plant crops and graze livestock right up to the base of the turbines. One of the easiest and most attractive ways for farmers and other landowners to benefit from wind power is to allow wind developers to

312

Tyrrell County - Wind Energy Facility Ordinance | Department of Energy  

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

Tyrrell County - Wind Energy Facility Ordinance Tyrrell County - Wind Energy Facility Ordinance Tyrrell County - Wind Energy Facility Ordinance < Back Eligibility Agricultural Commercial Industrial Institutional Local Government Multi-Family Residential Nonprofit Residential Schools State Government Tribal Government Utility Savings Category Wind Buying & Making Electricity Program Info State North Carolina Program Type Solar/Wind Permitting Standards Tyrrell County, located in northeastern North Carolina, adopted a wind ordinance in 2009 to regulate the use of wind energy facilities in the unincorporated areas of the county. The ordinance is substantially similar to the [http://www.dsireusa.org/library/includes/incentive2.cfm?Incentive_Code=N... model wind ordinance] drafted by the North Carolina Wind Working Group, and

313

Global Offshore Wind Farms Database | Open Energy Information  

Open Energy Info (EERE)

Global Offshore Wind Farms Database Global Offshore Wind Farms Database Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Global Offshore Wind Farms Database Focus Area: Renewable Energy Topics: Deployment Data Website: www.4coffshore.com/offshorewind/ Equivalent URI: cleanenergysolutions.org/content/global-offshore-wind-farms-database,h Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This online database and interactive map for global offshore wind development contains details on over 900 wind farms in 36 countries. The 4C Offshore Interactive Map provides an interactive map-based view of wind farm data, as well as wind farm-related news and career information. References Retrieved from "http://en.openei.org/w/index.php?title=Global_Offshore_Wind_Farms_Database&oldid=514428"

314

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

SciTech Connect

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

315

Sault Tribe Wind Energy Feasibility Study  

SciTech Connect

The Sault Tribe conducted a feasibility study on tribal lands in the Upper Peninsula of Michigan to determine the technical and economic feasibility of both small and large-scale wind power development on tribal lands. The study included a wind resource assessment, transmission system analysis, engineering and regulatory analyzes and assessments.

Toni Osterhout; Global Energy Concepts

2005-07-31T23:59:59.000Z

316

Module Handbook Specialisation Wind Energy  

E-Print Network (OSTI)

of Wind Turbines Module name: Wind potential, Aerodynamics & Loading of Wind Turbines Section Classes Evaluation of Wind Energy Potential Wind turbine Aerodynamics Static and dynamic Loading of Wind turbines Wind turbine Aerodynamics Static and dynamic Loading of Wind turbines Credit points 8 CP

Habel, Annegret

317

Sandia National Laboratories: Wind Energy  

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

specialprogramsslide5 windplantoptslide4 rotorinnovationslide3 offshorewindslide2 Materialsslide1 Wind Energy Wind Plant Optimization Materials,...

318

Acoustic wind and wind?shear measuring system  

Science Journals Connector (OSTI)

An acoustic wind?profiling system designed to detect hazardous wind?shear conditions in the airport environment has been developed during the past four years. The system installed at Dulles International Airport consists of a vertically pointed transmitter surrounded by three receivers 290?m distant and separated by 120 in azimuth. Electronically steered receiver beams track the upward propagating transmitted tone burst and collect the scatteredacoustic signals. The Doppler frequency shift of the returns is analyzed digitally to determine the horizontal wind at 20 height levels in 30?m increments. Unique design features of the system such as the steered receiver antenna are described. A one?leg prototype of the Dulles system was installed and tested at Table Mountain near Boulder CO. Winds measured by the prototype acoustic system compared well with those determined by an FM?CW radar and a balloon?borne anemometer. Noisegenerated by rain and surface winds exceeding 16 m sec?1 proved to be the major limitations for the acoustic system. Preliminary results from the Dulles system are also presented.

P. A. Mandics; D. W. Beran

1976-01-01T23:59:59.000Z

319

Searchlight Wind Energy Project FEIS Appendix A  

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

3: Public Hearing Materials 3: Public Hearing Materials Draft Environmental Impact Statement Public Meetings February 21 - 23, 2012 * An approximately 200 megawatt wind energy facility and associated infrastructure proposed by Searchlight Wind Energy, LLC * Project will produce electricity to power approximately 50,000 homes. * An interconnection switching station proposed by Western Area Power Administration 2 3 The proposed project area is adjacent to Searchlight, approximately 60 miles southeast of Las Vegas in Clark County, Nevada Right-of-way application area (shown in red) is the same as the area of mineral segregation at approximately 18,000 acres If approved, the permanent

320

2010 Wind Technologies Market Report  

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

2010 Wind Technologies Market Report 2010 Wind Technologies Market Report Title 2010 Wind Technologies Market Report Publication Type Report Refereed Designation Unknown Year of Publication 2011 Authors Wiser, Ryan H., and Mark Bolinger Tertiary Authors Darghouth, Naïm, Kevin Porter, Michael Buckley, Sari Fink, Russell Raymond, Frank Oteri, Galen L. Barbose, Joachim Seel, Andrew D. Mills, and Ben Hoen Pagination 98 Date Published 06/2011 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department, power system economics, renewable energy, wind power Abstract The U.S. wind power industry experienced a trying year in 2010, with a significant reduction in new builds compared to both 2008 and 2009. The delayed impact of the global financial crisis, relatively low natural gas and wholesale electricity prices, and slumping overall demand for energy countered the ongoing availability of existing federal and state incentives for wind energy deployment. The fact that these same drivers did not impact capacity additions in 2009 can be explained, in part, by the "inertia" in capital-intensive infrastructure investments: 2009 capacity additions were largely determined by decisions made prior to the economy-wide financial crisis that was at its peak in late 2008 and early 2009, whereas decisions on 2010 capacity additions were often made at the height of the financial crisis. Cumulative wind power capacity still grew by a healthy 15% in 2010, however, and most expectations are for moderately higher wind power capacity additions in 2011 than witnessed in 2010, though those additions are also expected to remain below the 2009 high.

Note: This page contains sample records for the topic "determine area wind" 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

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

SciTech Connect

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

Robert W. Preus; DOE Project Officer - Keith Bennett

2008-04-23T23:59:59.000Z

322

Collimated Outflow Formation via Binary Stars. 3-D Simulations of AGB Wind and Disk Wind Interactions  

E-Print Network (OSTI)

We present three-dimensional hydrodynamic simulations of the interaction of a slow wind from an asymptotic giant branch(AGB) star and a jet blown by an orbiting companion. The jet or "Collimated Fast Wind" is assumed to originate from an accretion disk which forms via Bondi accretion of the AGB wind or Roche lobe overflow. We present two distinct regimes in the wind-jet interaction determined by the ratio of the AGB wind to jet momentum flux. Our results show that when the wind momentum flux overwhelms the flux in the jet a more dis-ordered outflow outflow results with the jet assuming a corkscrew pattern and multiple shock structures driven into the AGB wind. In the opposite regime the jet dominates and will drive a highly collimated narrow waisted outflow. We compare our results with scenarios described by Soker & Rappaport (2000) and extrapolate the structures observed in PNe and Symbiotic stars.

F. Garcia-Arredondo; Adam Frank

2003-07-25T23:59:59.000Z

323

CX-002337: Categorical Exclusion Determination | Department of Energy  

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

7: Categorical Exclusion Determination 7: Categorical Exclusion Determination CX-002337: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant (EECBG) DE-EE0000727 Kansas State University Wind Turbine Research and Refurbishment CX(s) Applied: A9, B5.1 Date: 05/20/2010 Location(s): Kansas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The State of Kansas (Kansas Corporation Commission) would utilize Energy Efficiency and Conservation Block Grant funds to: 1) fund research projects involving computer and laboratory-based activities in the area of electrical computer engineering to improve the utilization of wind energy technology, and 2) fund the refurbishment of a Zond 750 wind turbine (750 kilowatt capacity) recently donated by a local utility to Kansas State

324

CX-005877: Categorical Exclusion Determination | Department of Energy  

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

05877: Categorical Exclusion Determination 05877: Categorical Exclusion Determination CX-005877: Categorical Exclusion Determination South Jersey Wind Turbine CX(s) Applied: A9 Date: 05/17/2011 Location(s): Sea Isle City, New Jersey Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The South Jersey Economic Development District is proposing to use Congressionally Directed Federal Funding to undertake two wind turbine development projects on publicly owned land along the coastal area of southern New Jersey. The proposed project comprises two separate initiatives; a mid-sized wind turbine installation at the Penn's Grove Sewer Authority property and a feasibility and site analysis at a former city landfill site in Sea Isle City. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-005877.pdf More Documents & Publications

325

Wind River Watershed Restoration, 2005-2006 Annual Report.  

SciTech Connect

This report summarizes work completed by U.S. Geological Survey's Columbia River Research Laboratory (USGS-CRRL) in the Wind River subbasin during the period April 2005 through March 2006 under Bonneville Power Administration (BPA) contract 22095. During this period, we collected temperature, flow, and habitat data to characterize habitat condition and variation within and among tributaries and mainstem sections in the Wind River subbasin. We also conducted electrofishing and snorkeling surveys to determine juvenile salmonid populations within select study areas throughout the subbasin. Portions of this work were completed with additional funding from U.S. Fish and Wildlife Service (USFWS) and the Lower Columbia Fish Enhancement Group (LCFEG). A statement of work (SOW) was submitted to BPA in March 2005 that outlined work to be performed by USGS-CRRL. The SOW was organized by work elements, with each describing a research task. This report summarizes the progress completed under each work element.

Jezorek, Ian G.; Connolly, Patrick J.; Munz, Carrie [U.S. Geological Survey

2008-11-10T23:59:59.000Z

326

Chapter 2 Offshore Wind Power Stations  

Science Journals Connector (OSTI)

Publisher Summary This chapter presents the historical background and development of offshore wind power stations. As early as 1890, windmills were put to work to produce electricity and more than 50,000 mills were in use in the United States alone in the twenties and thirties. Their decline was precipitated by the Rural Electrification Program. According to the San Francisco based Transaction Energy Projects Institute, offshore windmills could generate all the electrical power needed by northern California. Ocean winds have of course provided energy to windmills for centuries. In 1976, a study was commissioned by the (U.S.) Energy Research and Development Administration to ascertain and assess the economic value of offshore multi units aiming at identification and classification of area offshore types, assessing utility requirements for offshore power systems. It includes developing installation concepts including various floating and bottom-mounted designs, assessing current WECS (wind energy converter systems) for use in offshore environments, assessing various electric transmission and hydrogen delivery concepts, and performing an economic assessment, providing tradeoffs for variables such as distance offshore, climate, bottom and wave characteristics and average wave velocities. It is suggested that high wind velocity sites must be identified because the energy flow increases with the cube of the wind velocity; the kinetic energy of the wind passing through the area swept by the blades of a turbine is the energy available to that wind turbine. An average wind speed distribution is required.

1993-01-01T23:59:59.000Z

327

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":""}]}

328

Wind River Watershed Restoration 2004-2005 Annual Report.  

SciTech Connect

During 2004, researchers from U.S. Geological Survey's Columbia River Research Laboratory (USGS-CRRL) collected temperature, flow, and habitat data to characterize physical habitat condition and variation within and among tributaries and mainstem sections in the Wind River subbasin. Juvenile salmonid population surveys were conducted within select study areas throughout the subbasin. We expanded our survey coverage of the mainstem Wind River to a reach in the vicinity of Carson National Fish Hatchery to assess effects of non-indigenous Chinook on native steelhead. These efforts add to a database of habitat and fish data collected in the Wind River since 1996. This research contributes to the Wind River Restoration Project, which includes active stream habitat restoration and monitoring of adult and juvenile steelhead populations. We maintained a network of 32 thermographs in the Wind River subbasin during 2004. Additionally, Underwood Conservation District provided us with data from seven thermographs that they maintained during 2004. Thermograph data are identifying areas with chronic high water temperatures and stream sections where high rates of warming are occurring. During 2004, water temperatures at 26 thermograph sites exceeded the 16 C limit for surface waters set by the Washington Department of Ecology. Water temperatures exceeded 20 C at five sites in the Trout Creek watershed. Our thermograph dataset includes information from as early as 1996 at some sites and has become a valuable long-term dataset, which will be crucial in determining bioenergetic relationships with habitat and life-histories. We have monitored salmonid populations throughout the Wind River subbasin by electrofishing and snorkeling. We electrofished four stream sections for population estimates during 2004. In these sections, and others where we simply collected fish without a population estimate, we tagged juvenile steelhead and Chinook salmon with Passive Integrated Transponder (PIT) tags to track growth and movement of individuals. We snorkeled nine stream sections during 2004. Juvenile steelhead populations have varied greatly between streams and between years. Numbers of age-0 steelhead have increased substantially since 2000 within the MINE reach (rkm 35.0-40.0) section of the upper Wind River. Because of potential negative interactions with steelhead, naturally spawned populations of introduced juvenile Chinook salmon are of concern in the mainstem of the Wind River. During 2004, we deployed over 3,000 PIT tags in the Wind River subbasin, primarily in juvenile steelhead, but also in juvenile Chinook. We are compiling a dataset of recapture information on these tagged fish as well as interrogation information from Bonneville Dam and other sites. The habitat and fish data collected have been used in Ecosystem Diagnosis and Treatment modeling efforts, the Wind River Subbasin Plan, and the Total Maximum Daily Load report from Washington Department of Ecology. Continued monitoring of changes in habitat, combined with data on fish populations, will help guide planning efforts of land and fish managers. As long-term active and passive restoration actions are implemented in the Wind River and its tributaries, these data will provide the ability to measure change. Because the Wind River subbasin has no steelhead hatchery or supplementation, these data will be useful to compare population trends in subbasins with hatchery or supplementation management.

Connolly, Patrick J.; Jezorek, Ian G. [U.S. Geological Survey

2008-11-10T23:59:59.000Z

329

Howard County- Wind Ordinance  

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

This ordinance sets up provisions for allowing small wind energy systems in various zoning districts.

330

Disturbance Control of the Hydraulic Brake in a Wind Turbine  

E-Print Network (OSTI)

Disturbance Control of the Hydraulic Brake in a Wind Turbine Frank Jepsen, Anders Søborg brake in a wind turbine. Brake torque is determined by friction coefficient and clamp force; the latter brake is one1 of the two independent brake systems in a wind turbine. As a consequence of the gearing

Yang, Zhenyu

331

Title: Ontario Wind Resources Information Ontario Ministry of Natural Resources  

E-Print Network (OSTI)

information (monthly, yearly, extreme months and inter ­ annually) and wind rose information. All dataTitle: Ontario Wind Resources Information Data Creator / Copyright Owner: Ontario Ministry as an input to the Wind Resource Atlas, a web mapping application for helping users determine the feasibility

332

The National Wind Technology Center  

SciTech Connect

Wind energy research began at the Rocky Flats test site in 1976 when Rockwell International subcontracted with the Energy Research and Development Administration (ERDA). The Rocky Flats Plant was competitively selected from a number of ERDA facilities primarily because it experienced high instantaneous winds and provided a large, clear land area. By 1977, several small wind turbines were in place. During the facility`s peak of operation, in 1979-1980, researchers were testing as many as 23 small wind turbines of various configurations, including commercially available machines and prototype turbines developed under subcontract to Rocky Flats. Facilities also included 8-kW, 40-kW, and 225-kW dynamometers; a variable-speed test bed; a wind/hybrid test facility; a controlled velocity test facility (in Pueblo, Colorado); a modal test facility, and a multimegawatt switchgear facility. The main laboratory building was dedicated in July 1981 and was operated by the Rocky Flats Plant until 1984, when the Solar Energy Research Institute (SERI) and Rocky Flats wind energy programs were merged and transferred to SERI. SERI and now the National Renewable Energy Laboratory (NREL) continued to conduct wind turbine system component tests after 1987, when most program personnel were moved to the Denver WEst Office Park in Golden and site ownership was transferred back to Rocky Flats. The Combined Experiment test bed was installed and began operation in 1988, and the NREL structural test facility began operation in 1990. In 1993, the site`s operation was officially transferred to the DOE Golden Field Office that oversees NREL. This move was in anticipation of NREL`s renovation and reoccupation of the facility in 1994.

Thresher, R.W.; Hock, S.M. [National Renewable Energy Lab., Golden, CO (United States)] [National Renewable Energy Lab., Golden, CO (United States); Loose, R.R.; Cadogon, J.B.

1994-07-01T23:59:59.000Z

333

WIND TURBINE STRUCTURAL HEALTH MONITORING: A SHORT INVESTIGATION BASED ON SCADA DATA  

E-Print Network (OSTI)

.papatheou@sheffield.ac.uk ABSTRACT The use of offshore wind farms has been growing in recent years, as steadier and higher wind to complicate the construction of land wind farms, offshore locations, which can be found more easily near densely populated areas, can be seen as an attrac- tive choice. However, the cost of an offshore wind farm

Boyer, Edmond

334

Ris-R-1117(EN) Power Control for Wind Turbines in  

E-Print Network (OSTI)

Risø-R-1117(EN) Power Control for Wind Turbines in Weak Grids: Project summary Henrik Bindner (Ed in Europe large areas exist where the wind resources are good or very good and the grid is relatively weak for the exploitation of the wind resource. There are two main problems concerned with wind power and weak grids

335

Impedance Spectroscopy Failure Diagnosis of a DFIG-Based Wind Turbine  

E-Print Network (OSTI)

's second potential source of wind power, behind the UK. Areas are very windy on the west side) Given the different weather patterns in a given regions, wind power is not zero at the same time; 2) The winds are more common in winter when electricity demand is highest. The advantages of using wind farm

Brest, Université de

336

Optimization of wind turbine energy and power factor with an evolutionary computation algorithm  

E-Print Network (OSTI)

Optimization of wind turbine energy and power factor with an evolutionary computation algorithm the energy capture from the wind and enhance the quality of the power produced by the wind turbine, and harmonic distortion. As the generation of wind energy on an industrial scale is relatively new, the area

Kusiak, Andrew

337

WIND DATA REPORT Ragged Mt Maine  

E-Print Network (OSTI)

...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions........................................................................................................... 9 Monthly Average Wind Speeds

Massachusetts at Amherst, University of

338

CREST Wind | Open Energy Information  

Open Energy Info (EERE)

CREST Wind CREST Wind Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CREST Wind Agency/Company /Organization: Sustainable Energy Advantage Partner: NREL Sector: Energy Focus Area: Wind Topics: Finance Resource Type: Software/modeling tools User Interface: Spreadsheet Website: financere.nrel.gov/finance/webfm_send/42/NREL_CREST_Wind_version1.1_Pr Country: United States RelatedTo: CREST Solar, CREST Geothermal Cost: Free UN Region: Northern America Coordinates: 37.09024°, -95.712891° 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":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

339

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.

340

State and National Wind Resource Potential at Various Capacity...  

Wind Powering America (EERE)

4 8 650 1 2 806 3 0 69% 75 5% 14 031 7 49 073 Estimates of Windy 1 Land Area and Wind Energy Potential, by State, for areas > 35% Capacity Factor at 80m These estimates show, for...

Note: This page contains sample records for the topic "determine area wind" 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

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

342

Cost Study for Large Wind Turbine Blades  

SciTech Connect

The cost study for large wind turbine blades reviewed three blades of 30 meters, 50 meters, and 70 meters in length. Blade extreme wind design loads were estimated in accordance with IEC Class I recommendations. Structural analyses of three blade sizes were performed at representative spanwise stations assuming a stressed shell design approach and E-glass/vinylester laminate. A bill of materials was prepared for each of the three blade sizes using the laminate requirements prepared during the structural analysis effort. The labor requirements were prepared for twelve major manufacturing tasks. TPI Composites developed a conceptual design of the manufacturing facility for each of the three blade sizes, which was used for determining the cost of labor and overhead (capital equipment and facilities). Each of the three potential manufacturing facilities was sized to provide a constant annual rated power production (MW per year) of the blades it produced. The cost of the production tooling and overland transportation was also estimated. The results indicate that as blades get larger, materials become a greater proportion of total cost, while the percentage of labor cost is decreased. Transportation costs decreased as a percentage of total cost. The study also suggests that blade cost reduction efforts should focus on reducing material cost and lowering manufacturing labor, because cost reductions in those areas will have the strongest impact on overall blade cost.

ASHWILL, THOMAS D.

2003-05-01T23:59:59.000Z

343

Wind modelling based on wind input data conditions using Weibull distribution  

Science Journals Connector (OSTI)

Weibull distribution can be used to model the wind speed distribution at a particular site and hence, it can help in wind resource assessment (WRA) of a site. By calculating the shape (k) and scale (c) parameters for Weibull distribution, the wind speed frequency curve for a site can be made. Once this wind speed distribution for site is determined, it can be convolved with the power curve for a wind turbine and the annual energy output from the site can be determined. This paper presents how the Weibull distribution is used to determine the wind speed distribution for Vadravadra site in Gau Island of Fiji and how closely the annual energy output from the modelled wind speed distribution matches with the annual energy output using the actual wind speed distribution. It also presents how k is related to the turbulence intensity for a site; how the c is related to the annual mean wind speed and how a formula for estimating c is derived at a new height.

R.D. Prasad; R.C. Bansal; M. Sauturaga

2009-01-01T23:59:59.000Z

344

New England Wind Forum: New England Wind Energy Education Project Webinars  

Wind Powering America (EERE)

New England Wind Energy Education Project Webinars New England Wind Energy Education Project Webinars Here you can learn about New England Wind Energy Education Project (NEWEEP) webinars and find audiovisual files and transcripts of past webinars. The objectives of the NEWEEP webinar series include: cutting through the clutter of competing, conflicting, and sometimes misleading information on critical issues pertaining to wind energy generation helping to address concerns in communities where wind projects are proposed identifying areas for future research for example data gaps. The free NEWEEP webinars are designed for the general public, local officials, facility siting decision-makers, policy-makers, and others interested in objective information on wind energy impacts. Past Webinars Find audiovisual files and transcripts of webinars hosted by NEWEEP.

345

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

346

European Wind Atlas: France | Open Energy Information  

Open Energy Info (EERE)

European Wind Atlas: France European Wind Atlas: France Jump to: navigation, search Tool Summary LAUNCH TOOL Name: European Wind Atlas: France Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: 130.226.17.201/extra/web_docs/windmaps/france.jpg Equivalent URI: cleanenergysolutions.org/content/european-wind-atlas-france,http://cle Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This wind resource map shows resources at 50 meters above ground level for four different topographic conditions, including sheltered terrain, open plain, coastal and hills and ridges. The greatest resources appear to be near the Mediterranean Sea coast, and the second greatest resources are near the English Channel and northern Atlantic coast.

347

Stakeholder Engagement and Outreach: Wind Energy Videos  

Wind Powering America (EERE)

Wind Energy Videos Wind Energy Videos This page lists wind energy videos. Search the Stakeholder Engagement and Outreach initiative's Database Choose a Subject Category All Agricultural Public Power Schools Small Wind Economic Development Policy Choose # of Records per Page Default (10 per page) 5 25 50 To search the titles, enter a word or phrase. Start Search Clear Contents Total of 30 records found. Page 1 of 6, Sorted by descending date Filtered by: Video 1 2 3 4 5 6 Next Page >> Date sort by ascending date sort by descending date State sort by ascending state sort by descending state Type of Information Program Area Title sort by ascending title sort by descending title 1/29/2013 KS News Video Kansas State University Videos Explore Wind Energy [..More] 10/22/2012 NE News

348

Installing and Maintaining a Small Wind Electric System | Department of  

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

Installing and Maintaining a Small Wind Electric System Installing and Maintaining a Small Wind Electric System Installing and Maintaining a Small Wind Electric System July 2, 2012 - 8:22pm Addthis Installing and Maintaining a Small Wind Electric System What does this mean for me? When installing a wind system, the location of the system, the energy budget for the site, the size of the system, and the height of the tower are important elements to consider. Deciding whether to connect the system to the electric grid or not is also an important decision. If you went through the planning steps to evaluate whether a small wind electric system will work at your location, you will already have a general idea about: The amount of wind at your site The zoning requirements and covenants in your area The economics, payback, and incentives of installing a wind system

349

Mexico-NREL Wind Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Wind Resource Assessments Wind Resource Assessments Jump to: navigation, search Logo: Mexico-NREL Initiatives Name Mexico-NREL Initiatives Agency/Company /Organization National Renewable Energy Laboratory Sector Energy Focus Area Wind Topics Background analysis Resource Type Dataset, Maps, Software/modeling tools Website http://www.nrel.gov/internatio Country Mexico Central America References NREL International Program Overview [1] Abstract Currently NREL is working with Mexico to develop wind resource assessments including wind maps for Tamuilipas and & Baja California (10/10) and to prepare wind development scenarios for these regions. Currently NREL is working with Mexico to develop wind resource assessments including wind maps for Tamuilipas and & Baja California (10/10) and to

350

The Economics of Wind Energy | Open Energy Information  

Open Energy Info (EERE)

Economics of Wind Energy Economics of Wind Energy Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Economics of Wind Energy Agency/Company /Organization: European Wind Energy Association Sector: Energy Focus Area: Renewable Energy, Wind Topics: Market analysis Resource Type: Publications Website: www.ewea.org/fileadmin/ewea_documents/documents/publications/reports/E The Economics of Wind Energy Screenshot References: The Economics of Wind Energy [1] Overview "This report provides a systematic framework for the economic dimension of wind energy and of the energy policy debate when comparing different power generation technologies. A second contribution is to put fuel price risk directly into the analysis of the optimal choice of energy sources for power generation."

351

Salazar, Chu Announce Major Offshore Wind Initiatives | Department of  

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

Major Offshore Wind Initiatives Major Offshore Wind Initiatives Salazar, Chu Announce Major Offshore Wind Initiatives February 7, 2011 - 12:00am Addthis NORFOLK, VA - Unveiling a coordinated strategic plan to accelerate the development of offshore wind energy, Secretary of the Interior Ken Salazar and Secretary of Energy Steven Chu today announced major steps forward in support of offshore wind energy in the United States, including new funding opportunities for up to $50.5 million for projects that support offshore wind energy deployment and several high priority Wind Energy Areas in the mid-Atlantic that will spur rapid, responsible development of this abundant renewable resource. Deployment of clean, renewable offshore wind energy will help meet the President's goal of generating 80 percent of the Nation's electricity from

352

Siting guidelines for utility application of wind turbines. Final report  

SciTech Connect

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

353

Sri Lanka Wind Farm Analysis and Site Selection Assistance  

SciTech Connect

The United States Department of Energy (DOE), through the National Renewable Energy Laboratory (NREL), has been working in partnership with the U.S. Agency for International Development (USAID) in an on-going process to quantify the Sri Lanka wind energy potential and foster wind energy development. Work to date includes completion of the NREL wind atlas for Sri Lanka. In addition, the Ceylon Electricity Board (CEB) has conducted a wind resource assessment of several areas of the country and has successfully completed and is currently operating a 3-MW pilot wind project. A review of the work completed to date indicates that additional activities are necessary to provide Sri Lanka with the tools necessary to identify the best wind energy development opportunities. In addition, there is a need to identify key policy, regulatory, business and infrastructure issues that affect wind energy development and to recommend steps to encourage and support wind power development and investment.

Young, M.; Vilhauer, R.

2003-08-01T23:59:59.000Z

354

Visual impact assessment of offshore wind farms and prior experience  

Science Journals Connector (OSTI)

Energy planners have shifted their attention towards offshore wind power generation and the decision is supported by the public in general, which in the literature has a positive attitude towards offshore wind generation. However, globally only a few offshore wind farms are operating. As more wind farms start operating and more people become experienced with especially the visual impacts from offshore wind farms, the public positive attitude could change if the experienced impacts are different from the initially perceived visual interference. Using a binary logit model, the present paper investigates the relation between different levels of prior experience with visual disamenities from offshore wind farms and perception of visual impacts from offshore wind farms. The differences in prior experience are systematically controlled for sampling respondents living in the areas close to the large scale offshore wind farms Nysted and Horns Rev and by sampling the a group of respondents representing the Danish population, which has little experience with offshore wind farms. Compared to previous results in the literature, the present paper finds that perception of wind power generation is influenced by prior experience. More specifically, the results show that people with experience from offshore wind farms located far from the coast have a significant more positive perception of the visual impacts from offshore wind farms than people with experience from wind farms located closer to the coast. These results are noteworthy on two levels. First of all, the results show that perceptions of offshore wind generation are systematically significantly influenced by prior experience with offshore wind farms. Secondly, and in a policy context, the results indicate that the future acceptance of future offshore wind farms is not independent of the location of existing and new offshore wind farms. This poses for caution in relation to locating offshore wind farms too close to the coast.

Jacob Ladenburg

2009-01-01T23:59:59.000Z

355

Influence of non-Gaussian wind characteristics on wind turbine extreme response  

Science Journals Connector (OSTI)

Abstract The wind turbulence inflows specified in current wind turbine design standards and turbine response simulation tools are usually modeled as stationary random Gaussian processes. Field measurement data, however, suggest that wind turbulence in complex terrain exhibits non-Gaussian characteristics. This study presents a comprehensive investigation on extreme response of operational and parked wind turbines to non-Gaussian wind field. The non-Gaussian wind fields with specified non-Gaussian statistics and power spectral characteristics are generated using translation process theory and spectral representation method. The wind turbine response time histories at each wind speed bin are simulated. The turbine response statistical moments influenced by the non-Gaussian wind inflow are examined. The extreme response distributions conditional on wind speeds are determined from the simulation data using global maxima method and random process model method. The overall extreme response distribution is then calculated by further integrating the distribution of mean wind speed, which is used to quantify the extreme responses with various mean recurrence intervals (MRIs). The results showed that the non-Gaussian characteristics of wind inflows can result in noticeably larger extremes of blade root edgewise and tower base fore-aft bending moments of operational turbine, and blade root flapwise bending moment of parked turbine. The responses with larger \\{MRIs\\} are more sensitive to the non-Gaussian characteristics of wind inflows. The responses of parked turbine are less sensitive to non-Gaussian, especially, the tower base side-to-side bending moment is almost not affected by non-Gaussian. New insights on the determination of extreme response distribution from random process method are also presented focusing on a better modeling of the response distribution tail.

Kuangmin Gong; Xinzhong Chen

2014-01-01T23:59:59.000Z

356

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

357

Offshore Wind Projects | Department of Energy  

Office of Environmental Management (EM)

Offshore Wind Projects Offshore Wind Projects This report covers the Wind and Water Power Program's offshore wind energy projects from fiscal years 2006 to 2014. Offshore Wind...

358

NREL: Wind Research - Offshore Wind Research  

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

standards Third-party design verification of innovative floating and fixed-bottom wind turbines NREL's standards and testing capabilities address the need to validate our...

359

New England Wind Forum: Siting Considerations  

Wind Powering America (EERE)

Siting Considerations Siting Considerations Choosing a proper site for a wind turbine or farm is critical to a successful project. While the most important factors may vary from site to site, in any given instance a single factor can undermine success of an otherwise superlative project. On the other hand, sometimes a site may be weak in one area but so strong in another area that it is viable, such as a site with very strong winds that is farther than normal from a transmission line. A viable wind energy site generally includes the following key factors: Attractive Wind Resource Landowner and Community Support Feasible Permitting Compatible Land Use Nearby Access to an Appropriate Electrical Interconnect Point Appropriate Site Conditions for Access During Construction and Operations

360

2012 Wind Technologies Market Report  

E-Print Network (OSTI)

Colorado: Xcel Energy. 2012 Wind Technologies Market ReportOperator. 2012 Wind Technologies Market Report Chadbourne &Power Company. 2012 Wind Technologies Market Report EnerNex

Wiser, Ryan

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "determine area wind" 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

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.PacifiCorp. 2010. 2010 Wind Integration Study. Portland,

Bolinger, Mark

2013-01-01T23:59:59.000Z

362

NREL: Wind Research - @NWTC Newsletter  

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

NREL Investigates the Logistics of Transporting and Installing Bigger, Taller Wind Turbines NREL Plays Founding, Developmental Role in Major Wind Journal Boosting Wind Plant...

363

2012 Wind Technologies Market Report  

E-Print Network (OSTI)

Department of Energy (DOE). 2008. 20% Wind Energy by2030: Increasing Wind Energys Contribution to U.S.Integrating Midwest Wind Energy into Southeast Electricity

Wiser, Ryan

2014-01-01T23:59:59.000Z

364

Sandia National Laboratories: Wind Power  

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

Wind Energy Staff On March 24, 2011, in Wind Energy On November 10, 2010, in Wind Plant Opt. Rotor Innovation Materials, Reliability & Standards Siting & Barrier Mitigation...

365

Sandia National Laboratories: wind manufacturing  

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

manufacturing Wind Energy Manufacturing Lab Helps Engineers Improve Wind Power On November 15, 2011, in Energy, News, Partnership, Renewable Energy, Wind Energy Researchers at the...

366

Draft General Conformity Determination  

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

I I Draft General Conformity Determination U.S. Department of the Interior Minerals Management Service MMS Cape Wind Energy Project January 2009 Final EIS Appendix I Draft General Conformity Determination Draft General Conformity Determination Cape Wind Energy Project Prepared by Minerals Management Service Herndon, VA November 2008 i TABLE OF CONTENTS 1.0 INTRODUCTION TO THE PROPOSED ACTION............................................................... 1 2.0 GENERAL CONFORMITY REGULATORY BACKGROUND .......................................... 2 2.1 GENERAL CONFORMITY REQUIREMENTS.................................................................... 2 2.2 GENERAL CONFORMITY APPLICABILITY.....................................................................

367

1 Energy Markets and Policy Group Energy Analysis Department The Impact of Wind Power Projects  

E-Print Network (OSTI)

1 Energy Markets and Policy Group · Energy Analysis Department The Impact of Wind Power Projects, Wind & Hydropower Technologies Program #12;2 Energy Markets and Policy Group · Energy Analysis Concerns for Wind Energy Fall Into Three Potential Categories 1. Area Stigma: Concern that rural areas

Firestone, Jeremy

368

Evaluation of Global Onshore Wind Energy Potential and Generation Costs  

Science Journals Connector (OSTI)

(2)Where Et is the wind technical potential (kWh/year), A is the area of each grid cell (km(2)), ?1 is the availability factor, ?2 is the array efficiency, ? is average installed power density (MW km2), and ((A?)/(1.5)) represents the number of turbines (1.5 MW GE turbine) in a given grid cell. ... If wind is to play a large role, lower quality wind resources would need to be used, and a bias against the highest speed winds can be less important. ... EEA. Europes Onshore and Offshore Wind Energy Potential. ...

Yuyu Zhou; Patrick Luckow; Steven J. Smith; Leon Clarke

2012-06-20T23:59:59.000Z

369

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.

370

Wind power today  

SciTech Connect

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

371

Wind energy information guide  

SciTech Connect

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

372

Searchlight Wind Energy Project DEIS Appendix A  

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

DEIS Appendix A DEIS Appendix A Page | A Appendix A: Public Scoping Report SCOPING SUMMARY REPORT SEARCHLIGHT WIND ENERGY PROJECT ENVIRONMENTAL IMPACT STATEMENT (NVN-084626 Searchlight Wind Energy Project and NVN-085777 Western Area Power Administration Substation) Prepared for: U.S. Department of Interior Bureau of Land Management Las Vegas Field Office Las Vegas, Nevada Prepared by: URS Corporation April 2009 Scoping Summary Report: April 2009 i Table of Contents Searchlight Wind Energy Project EIS TABLE OF CONTENTS 1.0 INTRODUCTION ........................................................................................................................1-1 1.1 OVERVIEW ....................................................................................................................1-1

373

Searchlight Wind Energy Project FEIS Appendix A  

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

1: Scoping Report 1: Scoping Report SCOPING SUMMARY REPORT SEARCHLIGHT WIND ENERGY PROJECT ENVIRONMENTAL IMPACT STATEMENT (NVN-084626 Searchlight Wind Energy Project and NVN-085777 Western Area Power Administration Substation) Prepared for: U.S. Department of Interior Bureau of Land Management Las Vegas Field Office Las Vegas, Nevada Prepared by: URS Corporation April 2009 Scoping Summary Report: April 2009 i Table of Contents Searchlight Wind Energy Project EIS TABLE OF CONTENTS 1.0 INTRODUCTION ........................................................................................................................1-1 1.1 OVERVIEW ....................................................................................................................1-1

374

Western Wind and Solar Integration Study  

SciTech Connect

The Western Wind and Solar Integration Study (WWSIS) is one of the largest regional wind and solar integration studies to date. It was initiated in 2007 to examine the operational impact of up to 35% energy penetration of wind, photovoltaics (PV), and concentrating solar power (CSP) on the power system operated by the WestConnect group of utilities in Arizona, Colorado, Nevada, New Mexico, and Wyoming (see study area map). WestConnect also includes utilities in California, but these were not included because California had already completed a renewable energy integration study for the state. This study was set up to answer questions that utilities, public utilities commissions, developers, and regional planning organizations had about renewable energy use in the west: (1) Does geographic diversity of renewable energy resource help mitigate variability; (2) How do local resources compare to out-of-state resources; (3) Can balancing area cooperation help mitigate variability; (4) What is the role and value of energy storage; (5) Should reserve requirements be modified; (6) What is the benefit of forecasting; and (7) How can hydropower help with integration of renewables? The Western Wind and Solar Integration Study is sponsored by the U.S. Department of Energy (DOE) and run by NREL with WestConnect as a partner organization. The study follows DOE's 20% Wind Energy by 2030 report, which did not find any technical barriers to reaching 20% wind energy in the continental United States by 2030. This study and its partner study, the Eastern Wind Integration and Transmission Study, performed a more in-depth operating impact analysis to see if 20% wind energy was feasible from an operational level. In DOE/NREL's analysis, the 20% wind energy target required 25% wind energy in the western interconnection; therefore, this study considered 20% and 30% wind energy to bracket the DOE analysis. Additionally, since solar is rapidly growing in the west, 5% solar was also considered in this study. The goal of the Western Wind and Solar Integration Study is to understand the costs and operating impacts due to the variability and uncertainty of wind, PV, and CSP on the grid. This is mainly an operations study, (rather than a transmission study), although different scenarios model different transmission build-outs to deliver power. Using a detailed power system production simulation model, the study identifies operational impacts and challenges of wind energy penetration up to 30% of annual electricity consumption.

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

2011-01-01T23:59:59.000Z

375

EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility...  

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

6: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI May 3, 2010 EA-1726: Final...

376

Women of Wind Energy Honor Wind Program Researchers | Department...  

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

Women of Wind Energy Honor Wind Program Researchers Women of Wind Energy Honor Wind Program Researchers August 1, 2013 - 2:54pm Addthis This is an excerpt from the Second Quarter...

377

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.

Not Available

2009-01-01T23:59:59.000Z

378

CX-002964: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-002964: Categorical Exclusion Determination Wind Energy and Sustainable Energy Solutions CX(s) Applied: B3.11, A9 Date: 07092010...

379

CX-005200: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005200: Categorical Exclusion Determination Hull Offshore Wind Research and Development CX(s) Applied: A9 Date: 02162011 Location(s): Hull,...

380

CX-002377: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-002377: Categorical Exclusion Determination Offshore Wind Technology Data Collection Project CX(s) Applied: A9 Date: 05132010...

Note: This page contains sample records for the topic "determine area wind" 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

CX-008207: Categorical Exclusion Determination | Department of...  

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

Categorical Exclusion Determination CX-008207: Categorical Exclusion Determination Field Evaluation and Validation of Remote Wind Sensing Technologies - Shore-Based and Buoy...

382

CX-003456: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-003456: Categorical Exclusion Determination Clean Energy Economic Development Initiative - Wind Anemometers on Existing WOLC Radio Tower CX(s) Applied:...

383

CX-011989: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-011989: Categorical Exclusion Determination Wind Tests of Transmission Line Towers: One Nevada Transmission Project CX(s) Applied: B4.6 Date: 0314...

384

Towns across Massachusetts are considering wind power, not only because it is one of the cleanest,  

E-Print Network (OSTI)

Towns across Massachusetts are considering wind power, not only because it is one of the cleanest managed wind power project can be a net source of income. This fact sheet introduces the major factors to consider in determining whether your town can benefit from wind power. Can my community use wind power

Massachusetts at Amherst, University of

385

Web-based Tool for Preliminary Assessment of Wind Power Plant Design  

E-Print Network (OSTI)

Web-based Tool for Preliminary Assessment of Wind Power Plant Design Daniela Borissova1 and Ivan. Designing of reliable and cost-effective industrial wind power plant is a prerequisite for the effective use of wind power as an alternative resource. The design of a wind power plant includes the determination

Mustakerov, Ivan

386

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.

387

Wind Rose Bias Correction  

Science Journals Connector (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

388

Surface Wind Direction Variability  

Science Journals Connector (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

389

GSA Wind Supply Opportunity  

Office of Environmental Management (EM)

Wind Supply Opportunity 1 2 3 Proposed Location * Size: 100-210 MegaWatts *Location: Bureau County, IL *Planned COD: December 2014 or 2015 *Site Control: 17,000 acres *Wind...

390

Scale Models & Wind Turbines  

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

Scale Models and Wind Turbines Grades: 5-8, 9-12 Topics: Wind Energy Owner: Kidwind Project This educational material is brought to you by the U.S. Department of Energy's Office of...

391

Distributed Wind 2015  

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

Distributed Wind 2015 is committed to the advancement of both distributed and community wind energy. This two day event includes a Business Conference with sessions focused on advancing the...

392

Competitive Wind Grants (Vermont)  

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

The Clean Energy Development Fund Board will offer a wind grant program beginning October 1, 2013. The grant program will replace the wind incentives that were originally part of the [http:/...

393

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...

394

Talbot County- Wind Ordinance  

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

This ordinance amends the Talbot County Code, Chapter 190, Zoning, Subdivision and Land Development, to permit small wind turbine systems with wind turbine towers not to exceed 160 feet in total...

395

Wind Career Map  

K-12 Energy Lesson Plans and Activities Web site (EERE)

This wind career map explores an expanding universe of wind energy occupations, describing diverse jobs across the industry, charting possible progression between them, and identifying the high-quality training necessary to do them well.

396

WINDExchange: Wind Events  

Wind Powering America (EERE)

Sun, 15 Feb 2015 00:00:00 MST 2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional Energy Job Fair http:www.iowawindenergy.org...

397

Offshore wind metadata management  

Science Journals Connector (OSTI)

Offshore wind energy is gaining more and more attention from industry and research community due to its high potential in producing green energy and lowering price on electricity consumption. However, offshore wind is facing many challenges, and hence ...

Trinh Hoang Nguyen; Rocky Dunlap; Leo Mark; Andreas Prinz; Bjrn Mo stgren; Trond Friis

2014-10-01T23:59:59.000Z

398

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

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

Bolinger, Mark

2010-01-01T23:59:59.000Z

399

How Do Wind Turbines Work?  

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

Instead of using electricity to make wind, like a fan, wind turbines use wind to make electricity. The wind turns the blades, which spin a shaft, which connects to a generator and makes electricity.

400

WINDExchange: Wind Basics and Education  

Wind Powering America (EERE)

locate higher education and training programs. Learn about Wind Learn about how wind energy generates power; where the best wind resources are; how you can get wind power; and...

Note: This page contains sample records for the topic "determine area wind" 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

WINDExchange: What Is Wind Power?  

Wind Powering America (EERE)

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...

402

The Wind at Our Backs  

Science Journals Connector (OSTI)

...uncertainty that chills U.S. wind farm development. He...serious challenge of siting wind turbines in the United States...a community college wind training program, and...and the nation's first offshore wind project near Nantucket...

Dan Reicher

2012-05-11T23:59:59.000Z

403

Wind disturbance in remnant forest stands along the prairie-forest ecotone, Minnesota, USA  

Science Journals Connector (OSTI)

Strong winds are an important disturbance agent in northern ... forests. On June 19, 1994, strong winds (>160 km h(-1)...) associated with a tornado damaged forested areas within the Rydell National Wildlife Refu...

James M. Dyer; Philip R. Baird

1997-02-01T23:59:59.000Z

404

Potential of wind-powered renewable energy membrane systems for Ghana  

E-Print Network (OSTI)

Areas of the world that lack fresh water often have an ample supply of wind or solar energy, making renewable energy an attractive option as a power source for desalination systems. Particularly, wind energy is attractive because of its relatively...

Park, G.L.; Schfer, Andrea; Richard, B.S.

2009-01-01T23:59:59.000Z

405

A study of wind speed modification and internal boundary-layer heights in a coastal region  

Science Journals Connector (OSTI)

Wind profile data within the first two kilometres of a coast have been used to study the wind field modification downstream of this surface discontinuity. The land area is generally very flat, having an overal...

Hans Bergstrm; Per-Erik Johansson; Ann-Sofi Smedman

1988-03-01T23:59:59.000Z

406

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.

407

Wind Energy Markets, 2. edition  

SciTech Connect

The report provides an overview of the global market for wind energy, including a concise look at wind energy development in key markets including installations, government incentives, and market trends. Topics covered include: an overview of wind energy including the history of wind energy production and the current market for wind energy; key business drivers of the wind energy market; barriers to the growth of wind energy; key wind energy trends and recent developments; the economics of wind energy, including cost, revenue, and government subsidy components; regional and national analyses of major wind energy markets; and, profiles of key wind turbine manufacturers.

NONE

2007-11-15T23:59:59.000Z

408

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

is located in Europe. In contrast, all wind power projectsin Europe. In 2009, for example, more wind power was

Wiser, Ryan

2010-01-01T23:59:59.000Z

409

CONGRESSIONAL BRIEFING Offshore Wind  

E-Print Network (OSTI)

CONGRESSIONAL BRIEFING Offshore Wind Lessons Learned from Europe: Reducing Costs and Creating Jobs Thursday, June 12, 2014 Capitol Visitors Center, Room SVC 215 Enough offshore wind capacity to power six the past decade. What has Europe learned that is applicable to a U.S. effort to deploy offshore wind off

Firestone, Jeremy

410

Offshore Wind Potential Tables  

Wind Powering America (EERE)

Offshore wind resource by state and wind speed interval within 50 nm of shore. Wind Speed at 90 m (ms) 7.0 - 7.5 7.5 - 8.0 8.0 - 8.5 8.5 - 9.0 9.0 - 9.5 9.5 - 10.0 >10.0 Total...

411

Offshore wind energy systems  

Science Journals Connector (OSTI)

Wind energy systems deployed in the shallow but windy waters of the southern North Sea have the potential to provide more than 20% of UK electricity needs. With existing experience of windmills, and of aircraft and offshore structures, such wind energy systems could be developed within a relatively short timescale. A preliminary assessment of the economics of offshore wind energy systems is encouraging.

P Musgrove

1978-01-01T23:59:59.000Z

412

Wind Turbine Competition Introduction  

E-Print Network (OSTI)

Wind Turbine Competition Introduction: The Society of Hispanic Professional Engineers, SHPE at UTK, wishes to invite you to participate in our first `Wind Turbine' competition as part of Engineer's Week). You will be evaluated by how much power your wind turbine generates at the medium setting of our fan

Wang, Xiaorui "Ray"

413

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)

414

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

Open Energy Info (EERE)

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....

415

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

Open Energy Info (EERE)

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....

416

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":""}]}

417

U.S. State Wind Resource Potential | OpenEI  

Open Energy Info (EERE)

State Wind Resource Potential State Wind Resource Potential Dataset Summary Description Estimates for each of the 50 states and the entire United States showing the windy land area with a gross capacity factor (without losses) of 30% and greater at 80-m height above ground and the wind energy potential from development of the "available" windy land area after exclusions. The "Installed Capacity" shows the potential megawatts (MW) of rated capacity that could be installed on the available windy land area, and the "Annual Generation" shows annual wind energy generation in gigawatt-hours (GWh) that could be produced from the installed capacity. AWS Truewind, LLC developed the wind resource data for windNavigator® with a spatial resolution of 200 m. NREL produced the estimates of windy land area and windy energy potential, including filtering the estimates to exclude areas unlikely to be developed such as wilderness areas, parks, urban areas, and water features (see the "Wind Resource Exclusion Table" sheet within the Excel file for more detail).

418

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

419

Vertical axis wind turbine  

SciTech Connect

Wind turbines are largely divided into vertical axis wind turbines and propeller (Horizontal axis) wind turbines. The present invention discloses a vertical axis high speed wind turbine provided with a starting and braking control system. This vertical axis wind turbine is formed by having blades of a proper airfoil fitted to respective supporting arms provided radially from a vertical rotary axis by keeping the blade span-wise direction in parallel with the axis and being provided with a low speed control windmill in which the radial position of each operating piece varies with a centrifugal force produced by the rotation of the vertical rotary axis.

Kato, Y.; Seki, K.; Shimizu, Y.

1981-01-27T23:59:59.000Z

420

Vertical axis wind turbine  

SciTech Connect

Wind turbines are largely divided into vertical axis wind turbines and propeller (Horizontal axis) wind turbines. The present invention discloses a vertical axis high speed wind turbine provided with rotational speed control systems. This vertical axis wind turbine is formed by having blades of a proper airfoil fitted to respective supporting arms provided radially from a vertical rotating shaft by keeping the blade span-wise direction in parallel with the shaft and being provided with aerodynamic control elements operating manually or automatically to control the rotational speed of the turbine.

Kato, Y.; Seki, K.; Shimizu, Y.

1981-01-27T23:59:59.000Z

Note: This page contains sample records for the topic "determine area wind" 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: Opportunities from Chile and the Region | Open  

Open Energy Info (EERE)

Wind Powering America: Opportunities from Chile and the Region Wind Powering America: Opportunities from Chile and the Region Jump to: navigation, search Tool Summary Name: Wind Powering America: Opportunities from Chile and the Region Agency/Company /Organization: National Renewable Energy Laboratory, Centro de Energías Renovables (CER) Sector: Energy Focus Area: Wind Topics: Implementation, Policies/deployment programs Resource Type: Webinar References: WPA[1] Logo: Wind Powering America: Opportunities from Chile and the Region This webinar provides an overview of the Department of Energy's Wind Powering America program, key program areas, and success stories that might be of interest to policy makers and stakeholders interested in adapting this program for Chile and other countries in Latin America. Watch Click here to view this webinar

422

Cape Verde Archipelago Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Archipelago Wind Farm Archipelago Wind Farm Jump to: navigation, search Name Cape Verde Archipelago Wind Farm Agency/Company /Organization African Development Bank Sector Energy Focus Area Renewable Energy, Wind Topics Finance, Market analysis, Background analysis Website http://www.europa-eu-un.org/ar Program Start 2010 Country Cape Verde UN Region Western Africa References Cape Verde Archipelago Wind Farm[1] Summary "The European Investment Bank (EIB) and African Development Bank (AfDB) agreed to provide EUR 45 million to design, build and operate onshore wind farms on four islands in the Cape Verde archipelago. This will be the first large scale wind project in Africa and the first renewable energy public private partnership in sub-Saharan Africa. The project will provide over 28MW of electricity generating capacity and help

423

Ashe County - Wind Energy System Ordinance | Department of Energy  

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

Ashe County - Wind Energy System Ordinance Ashe County - Wind Energy System Ordinance Ashe County - Wind Energy System Ordinance < Back Eligibility Agricultural Commercial Industrial Institutional Investor-Owned Utility Local Government Multi-Family Residential Municipal Utility Nonprofit Residential Rural Electric Cooperative Schools State Government Tribal Government Utility Savings Category Wind Buying & Making Electricity Program Info State North Carolina Program Type Solar/Wind Permitting Standards Provider Ashe County Planning Department In 2007 Ashe County adopted a wind ordinance to regulate the use of wind-energy systems in unincorporated areas of the county and to describe the conditions by which a permit for installing such a system may be obtained. This policy was adopted in the context of an ongoing debate over

424

South Carolina gearing up for wind boom | Department of Energy  

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

South Carolina gearing up for wind boom South Carolina gearing up for wind boom South Carolina gearing up for wind boom January 5, 2010 - 3:33pm Addthis Joshua DeLung What will the project do? The new wind turbine testing facility should attract wind industry business to South Carolina. Clemson University's Restoration Institute estimates the facility will create 110 temporary construction jobs and will bring 21 full-time positions to the area once it is operational The Energy Department predicts as many as 20,000 new jobs could be created in South Carolina during the next 20 years as the wind industry grows. A steady breeze of change is blowing in North Charleston, where Clemson University's Restoration Institute will soon begin constructing a large-scale wind turbine testing facility. Officials expect the project to

425

Wind Energy Atlas of Brazil | Open Energy Information  

Open Energy Info (EERE)

Energy Atlas of Brazil Energy Atlas of Brazil Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Energy Atlas of Brazil Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: 130.226.17.201/extra/web_docs/windmaps/Brazil_wind_map.pdf Equivalent URI: cleanenergysolutions.org/content/wind-energy-atlas-brazil,http://clean Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance The maps provided in this resource result from a surface wind modelling tool called MesoMap that estimates the wind potential over the Brazilian territory by simulating the atmosphere dynamics of the wind regime and the related meteorological variables from validated atmosphere pressure-data samples. References Retrieved from "http://en.openei.org/w/index.php?title=Wind_Energy_Atlas_of_Brazil&oldid=514616

426

NYSERDA-Wind Energy Toolkit | Open Energy Information  

Open Energy Info (EERE)

form form View 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 with form History Facebook icon Twitter icon » NYSERDA-Wind Energy Toolkit Jump to: navigation, search Tool Summary Name: NYSERDA-Wind Energy Toolkit Agency/Company /Organization: New York State Energy Research and Development Authority Sector: Energy Focus Area: Renewable Energy, Wind Topics: Resource assessment, Technology characterizations Website: www.powernaturally.org/Programs/Wind/Wind%20Energy%20Toolkit.pdf Cost: Free NYSERDA-Wind Energy Toolkit Screenshot References: NYSERDA[1] "The Wind Energy Toolkit was developed for the New York State Energy Research & Development Authority (NYSERDA) by AWS Truewind, LLC, to provide

427

United States (48 Contiguous States) Wind Resource Potential Chart  

Wind Powering America (EERE)

Rated Capacity Above Indicated CF (GW) Rated Capacity Above Indicated CF (GW) United States (48 Contiguous States) - Wind Resource Potential Cumulative Rated Capacity vs. Gross Capacity Factor (CF) 80 m The estimates show the potential gigawatts of rated capacity that could be installed on land above a given gross capacity factor (without losses) at 80-m and 100-m heights above ground. Areas greater than 30% at 80 m are generally considered to have suitable wind resource for potential wind development with today's advanced wind turbine technology. AWS Truewind, LLC developed the wind resource data for windNavigator® (http://navigator.awstruewind.com) with a spatial resolution of 200 m. NREL filtered the wind potential estimates to

428

Wind Energy Data and Information Gateway (WENDI) | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Data and Information Gateway (WENDI) Wind Energy Data and Information Gateway (WENDI) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Energy Data and Information Gateway (WENDI) Agency/Company /Organization: United States Department of Energy, Oak Ridge National Laboratory Sector: Energy Focus Area: Wind Topics: Market analysis, Resource assessment, Technology characterizations Resource Type: Dataset, Maps Website: windenergy.ornl.gov/ References: Wind Energy Data and Information Gateway (WENDI)[1] Logo: Wind Energy Data and Information Gateway (WENDI) The WENDI Gateway is an integrated system for the archival, discovery, access, integration, and delivery of wind energy-related data and information. NOTE The WENDI Gateway has been discontinued due to an absence of funding. Oak

429

China 2050 Wind Technology Roadmap | Open Energy Information  

Open Energy Info (EERE)

Wind Technology Roadmap Wind Technology Roadmap Jump to: navigation, search Name China 2050 Wind Technology Roadmap Agency/Company /Organization International Energy Agency Partner NDRC Energy Research Institute Sector Energy Focus Area Wind Topics Low emission development planning, -Roadmap, Pathways analysis, Technology characterizations Country China Eastern Asia References IEA Energy Technology Roadmaps[1] This article is a stub. You can help OpenEI by expanding it. See also: Wind Power in China The International Energy Agency is currently working with the NDRC Energy Research Institute in China to develop a China 2050 Wind Technology Roadmap. References ↑ "IEA Energy Technology Roadmaps" Retrieved from "http://en.openei.org/w/index.php?title=China_2050_Wind_Technology_Roadmap&oldid=384443"

430

China-2050 Wind Technology Roadmap | Open Energy Information  

Open Energy Info (EERE)

China-2050 Wind Technology Roadmap China-2050 Wind Technology Roadmap Jump to: navigation, search Name China-2050 Wind Technology Roadmap Agency/Company /Organization International Energy Agency Partner NDRC Energy Research Institute Sector Energy Focus Area Wind Topics Low emission development planning, -Roadmap, Pathways analysis, Technology characterizations Country China Eastern Asia References IEA Energy Technology Roadmaps[1] This article is a stub. You can help OpenEI by expanding it. See also: Wind Power in China The International Energy Agency is currently working with the NDRC Energy Research Institute in China to develop a China 2050 Wind Technology Roadmap. References ↑ "IEA Energy Technology Roadmaps" Retrieved from "http://en.openei.org/w/index.php?title=China-2050_Wind_Technology_Roadmap&oldid=699781"

431

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

432

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

433

Offshore wind metadata management  

Science Journals Connector (OSTI)

Offshore wind energy is gaining more and more attention from industry and research community due to its high potential in producing green energy and lowering price on electricity consumption. However, offshore wind is facing many challenges, and hence it is still expensive to install in large scale. It therefore needs to be considered from different aspects of technologies in order to overcome these challenges. One of the problems of the offshore wind is that information comes from different sources with diversity in types and format. Besides, there are existing wind databases that should be utilised in order to enrich the knowledge base of the wind domain. This paper describes an approach to managing offshore wind metadata effectively using semantic technologies. An offshore wind ontology has been developed. The semantic gap between the developed ontology and the relational database is investigated. A prototype system has been developed to demonstrate the use of the ontology.

Trinh Hoang Nguyen; Rocky Dunlap; Leo Mark; Andreas Prinz; Bjørn Mo ?stgren; Trond Friisø

2014-01-01T23:59:59.000Z

434

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

435

Wind to Hydrogen in California: Case Study  

SciTech Connect

This analysis presents a case study in California for a large scale, standalone wind electrolysis site. This is a techno-economic analysis of the 40,000 kg/day renewable production of hydrogen and subsequent delivery by truck to a fueling station in the Los Angeles area. This quantity of hydrogen represents about 1% vehicle market penetration for a city such as Los Angeles (assuming 0.62 kg/day/vehicle and 0.69 vehicles/person) [8]. A wind site near the Mojave Desert was selected for proximity to the LA area where hydrogen refueling stations are already built.

Antonia, O.; Saur, G.

2012-08-01T23:59:59.000Z

436

CX-001239: Categorical Exclusion Determination | Department of Energy  

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

9: Categorical Exclusion Determination 9: Categorical Exclusion Determination CX-001239: Categorical Exclusion Determination Vegetation Test Plots; National Wind Technology Center - SunEdison 1-Megawatt Photovoltaic Array; National Renewable Energy Laboratory Tracking Number 10-013 CX(s) Applied: A9, B1.3 Date: 03/18/2010 Location(s): Colorado Office(s): Energy Efficiency and Renewable Energy, Golden Field Office In 2002, a National Environmental Policy Act determination was signed for the Site-Wide Environmental Assessment (EA) of the National Renewable Energy Laboratory's (NREL) National Wind Technology Center (NWTC) DOE/EA-1378. This EA included the installation of an eight acre photovoltaic (PV) array located at the western edge of the NWTC, previously occupied by native grasses. The EA also identified reclaiming the areas not

437

CX-001239: Categorical Exclusion Determination | Department of Energy  

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

9: Categorical Exclusion Determination 9: Categorical Exclusion Determination CX-001239: Categorical Exclusion Determination Vegetation Test Plots; National Wind Technology Center - SunEdison 1-Megawatt Photovoltaic Array; National Renewable Energy Laboratory Tracking Number 10-013 CX(s) Applied: A9, B1.3 Date: 03/18/2010 Location(s): Colorado Office(s): Energy Efficiency and Renewable Energy, Golden Field Office In 2002, a National Environmental Policy Act determination was signed for the Site-Wide Environmental Assessment (EA) of the National Renewable Energy Laboratory's (NREL) National Wind Technology Center (NWTC) DOE/EA-1378. This EA included the installation of an eight acre photovoltaic (PV) array located at the western edge of the NWTC, previously occupied by native grasses. The EA also identified reclaiming the areas not

438

CX-007432: Categorical Exclusion Determination | Department of Energy  

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

7432: Categorical Exclusion Determination 7432: Categorical Exclusion Determination CX-007432: Categorical Exclusion Determination Integrated Optimization and Cost Analysis of an Innovative Offshore Wind Plant Design for Shallow and Transitional Water Depths CX(s) Applied: A9 Date: 12/07/2011 Location(s): Virginia Offices(s): Golden Field Office DOE proposes to provide funding to Virginia Electric and Power Company to conduct cost of energy analyses for offshore wind project cost reduction innovations. The project goal is to model a 25 percent decrease in the levelized cost of energy (LCOE). Innovation areas that would be modeled to determine LCOE reductions include turbine, foundation and installation, and electrical systems. Information on site specific conditions from at least two dozen offshore locations would be obtained from existing data sources

439

New England Wind Forum: Publications  

Wind Powering America (EERE)

Connecticut Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Projects in New England Building Wind Energy in New England Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share Publications This page lists publications for New England. Some of the following documents are available as Adobe Acrobat PDFs. Download Adobe Reader. Total of 298 records found. Page 1 of 30, Sorted by descending date Filtered by: Publication and Potential New England Wind Forum Information 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Next Page >> Date sort by ascending date sort by descending date State sort by ascending state sort by descending state Type of Information Program Area Title sort by ascending title sort by descending title More Details

440

New England Wind Forum: News  

Wind Powering America (EERE)

Connecticut Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Projects in New England Building Wind Energy in New England Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share News This page lists news for New England. Some of the following documents are available as Adobe Acrobat PDFs. Download Adobe Reader. Total of 251 records found. Page 1 of 26, Sorted by descending date Filtered by: News and Potential New England Wind Forum Information 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 Next Page >> Date sort by ascending date sort by descending date State sort by ascending state sort by descending state Type of Information Program Area Title sort by ascending title sort by descending title More Details

Note: This page contains sample records for the topic "determine area wind" 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

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.

442

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

443

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.

444

Wind Atlas Analysis and Application Program (WAsP) | Open Energy  

Open Energy Info (EERE)

Wind Atlas Analysis and Application Program (WAsP) Wind Atlas Analysis and Application Program (WAsP) Jump to: navigation, search Tool Summary Name: Wind Atlas Analysis and Application Program (WAsP) Agency/Company /Organization: Risoe DTU Sector: Energy Focus Area: Renewable Energy, Wind Topics: GHG inventory, Resource assessment Resource Type: Maps, Software/modeling tools User Interface: Desktop Application Website: www.wasp.dk/ Cost: Paid Wind Atlas Analysis and Application Program (WAsP) Screenshot References: WAsP[1] Background "WAsP is a PC program for predicting wind climates, wind resources and power productions from wind turbines and wind farms. The predictions are based on wind data measured at stations in the same region. The program includes a complex terrain flow model, a roughness change model and a model

445

Geographical and seasonal variability of the global practical wind resources  

Science Journals Connector (OSTI)

Abstract This paper provides global and seasonal estimates of the practical wind power obtained with a 3-D numerical model (GATOR-GCMOM) that dynamically calculates the instantaneous wind power of a modern 5MW wind turbine at 100-m hub height at each time step. Practical wind power is defined as that delivered from wind turbines in high-wind locations (year-average 100-m wind speed?7m/s) over land and near-shore, excluding both polar regions, mountainous, and conflicting land use areas, and including transmission, distribution, and wind farm array losses. We found that seasonal variations in the global practical wind resources are significant. The highest net land plus near-shore capacity factors globally are found during DecemberJanuaryFebruary and the lowest during JuneJulyAugust. The capacity factors in the transitional seasons (MarchAprilMay and SeptemberOctoberNovember) are rather similar to one another in terms of geographical patterns and frequency distributions. The yearly-average distributions of capacity factors, whether in terms of geographic patterns or frequency distributions, differ from those in all four seasons, although they are closest to the transitional seasons. Regional practical wind resources are sensitive to seasons and to thresholds in year-average wind speed and bathymetry, but are more than enough to supply local electricity demand in all regions except Japan.

Cristina L. Archer; Mark Z. Jacobson

2013-01-01T23:59:59.000Z

446

The wind potential impact on the maximum wind energy penetration in autonomous electrical grids  

Science Journals Connector (OSTI)

According to long-term wind speed measurements the Aegean Archipelago possesses excellent wind potential, hence properly designed wind energy applications can substantially contribute to fulfill the energy requirements of the island societies. On top of this, in most islands the electricity production cost is extremely high, while significant insufficient power supply problems are often encountered, especially during the summer. Unfortunately, the stochastic behaviour of the wind and the important fluctuations of daily and seasonal electricity load pose a strict penetration limit for the contribution of wind energy in the corresponding load demand. The application of this limit is necessary in order to avoid hazardous electricity grid fluctuations and to protect the existing thermal power units from operating near or below their technical minima. In this context, the main target of the proposed study is to present an integrated methodology able to estimate the maximum wind energy penetration in autonomous electrical grids on the basis of the available wind potential existing in the Aegean Archipelago area. For this purpose a large number of representative wind potential types have been investigated and interesting conclusions have been derived.

J.K. Kaldellis

2008-01-01T23:59:59.000Z

447

The effect of ocean waves on offshore wind turbines  

Science Journals Connector (OSTI)

The Ocean has a varying surface roughness where the roughness length is determined by the characteristics of the waves. In this paper, a method is established where the roughness length of the ocean is calculated from the wind speed and the fetch length. The fetch length depends on the wind direction and a case study is performed for a wind turbine exposed to wind blowing in two opposite directions: from the shore and the sea. For each case, the vertical wind speed distribution is calculated in order to study the influence that the direction of the wind has on the annual energy production. The potential for using a site-specific offshore turbine design, dependent on the prevailing wind direction, is also explored.

T. Thorsen; H. Naeser

2002-01-01T23:59:59.000Z

448

The spatial response function of SeaWinds backscatter measurements  

E-Print Network (OSTI)

regions are used to produce images of the Earth's land and ice surfaces to support climate studies in a wide variety of studies, including ocean wind retrieval, sea-ice mapping and classification, iceberg are also collected over the land and ice areas of the Earth. SeaWinds measurements over these land and ice

Long, David G.

449

Coupled dynamic analysis of floating offshore wind farms  

E-Print Network (OSTI)

it is economically feasible and technologically manageable. So far, most of the offshore wind farm research has been limited to fixed platforms in shallow-water areas. In the water depth deeper than 30m, however, floating-type wind farms tend to be more feasible...

Shim, Sangyun

2009-05-15T23:59:59.000Z

450

0 Riso-R-434 Wind Speed and Direction  

E-Print Network (OSTI)

meteorological statistics for the area as it was considered a possible site for a nuclear power plant. \\ \\ Duringm I 0 Riso-R-434 t Wind Speed and Direction Changes due to Terrain Effects revealed-4000 Roskilde, Denmark May 1983 #12;RIS?-R-434 WIND SPEED AND DIRECTION CHANGES DUE TO TERRAIN EFFECTS

451

Virginia Offshore Wind Cost Reduction Through Innovation Study (VOWCRIS) (Poster)  

SciTech Connect

The VOWCRIS project is an integrated systems approach to the feasibility-level design, performance, and cost-of-energy estimate for a notional 600-megawatt offshore wind project using site characteristics that apply to the Wind Energy Areas of Virginia, Maryland and North Carolina.

Maples, B.; Campbell, J.; Arora, D.

2014-10-01T23:59:59.000Z

452

EA-1902: Northern Wind Project, Roberts County, South Dakota  

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

DOEs Western Area Power Administration is preparing an EA that evaluates the potential environmental impacts of the proposed Northern Wind Project in Summit, Roberts County, South Dakota. Additional information is available on the project webpage, http://www.wapa.gov/ugp/Environment/NorthernWindFarm.htm.

453

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

454

Wind energy conversion system  

SciTech Connect

This patent describes a wind energy conversion system comprising: a propeller rotatable by force of wind; a generator of electricity mechanically coupled to the propeller for converting power of the wind to electric power for use by an electric load; means coupled between the generator and the electric load for varying the electric power drawn by the electric load to alter the electric loading of the generator; means for electro-optically sensing the speed of the wind at a location upwind from the propeller; and means coupled between the sensing means and the power varying means for operating the power varying means to adjust the electric load of the generator in accordance with a sensed value of wind speed to thereby obtain a desired ratio of wind speed to the speed of a tip of a blade of the propeller.

Longrigg, P.

1987-03-17T23:59:59.000Z

455

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

456

Mathematical description of a boiler house operating jointly with a wind power plant and heat storage  

Science Journals Connector (OSTI)

A heat supply system is considered that contains, along with a boiler house, a wind power plant and heat storage. Methodical approaches for determining ... modes of the heat storage jointly with the wind power plant

A. V. Bezhan; V. A. Minin

2011-11-01T23:59:59.000Z

457

Wind Turbine Blade Design  

K-12 Energy Lesson Plans and Activities Web site (EERE)

Blade engineering and design is one of the most complicated and important aspects of modern wind turbine technology. Engineers strive to design blades that extract as much energy from the wind as possible throughout a range of wind speeds and gusts, yet are still durable, quiet and cheap. A variety of ideas for building turbines and teacher handouts are included in this document and at the Web site.

458

Howden Wind Turbines Ltd | Open Energy Information  

Open Energy Info (EERE)

Howden Wind Turbines Ltd Jump to: navigation, search Name: Howden Wind Turbines Ltd Place: United Kingdom Sector: Wind energy Product: Howden was a manufacturer of wind turbines in...

459

ABO Wind AG | Open Energy Information  

Open Energy Info (EERE)

AG Place: Hessen, Germany Zip: 65193 Sector: Bioenergy, Wind energy Product: German developer of wind and bioenergy generation assets. ABO Wind has no direct holding in any wind...

460

TS Wind Power Developers | Open Energy Information  

Open Energy Info (EERE)

TS Wind Power Developers Jump to: navigation, search Name: TS Wind Power Developers Place: Satara, Maharashtra, India Sector: Wind energy Product: Setting up 30MW wind farm in...

Note: This page contains sample records for the topic "determine area wind" 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

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...

462

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...

463

WINDExchange Offshore Wind Webinar: Transmission Planning and...  

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

Offshore Wind Webinar: Transmission Planning and Interconnection for Offshore Wind WINDExchange Offshore Wind Webinar: Transmission Planning and Interconnection for Offshore Wind...

464

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,...

465

2013 Wind Technologies Market Report Presentation | Department...  

Office of Environmental Management (EM)

3 Wind Technologies Market Report Presentation 2013 Wind Technologies Market Report Presentation Presentation summarizing the 2013 Wind Technologies Market Report. 2013 Wind...

466

Environmental Wind Projects | Department of Energy  

Energy Savers (EERE)

Wind Projects Environmental Wind Projects This report covers the Wind and Water Power Technologies Office's environmental wind projects from fiscal years 2006 to 2014....

467

NREL: Wind Research - Research and Development  

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

Printable Version Wind Research Home Research & Development Utility-Scale Wind Turbines Offshore Wind Turbines Small Wind Turbines Grid Integration Market Acceleration...

468

Workforce Development Wind Projects | Department of Energy  

Energy Savers (EERE)

Workforce Development Wind Projects Workforce Development Wind Projects This report covers the Wind and Water Power Technologies Office's workforce development wind projects from...

469

Environmental Wind Projects | Department of Energy  

Energy Savers (EERE)

Environmental Wind Projects Environmental Wind Projects This report covers the Wind and Water Power Technologies Office's environmental wind projects from fiscal years 2006 to...

470

Sandia National Laboratories: Wind Software Downloads  

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

* SAND 2014-3685P * Wind software * wind tools Comments are closed. Renewable Energy Wind Energy Wind Plant Optimization Test Site Operations & Maintenance Safety: Test...

471

Using Thermally-Degrading, Partitioning, and Nonreactive Tracers to Determine Temperature Distribution and Fracture/Heat Transfer Surface Area in Geothermal Reservoirs  

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

DOE Geothermal Peer Review 2010 - Project Summary. The goal of this project is to provide integrated tracer and tracer interpretation tools to facilitate quantitative characterization of temperature distributions and surface area available for heat transfer in EGS.

472

An experiment on wind energy  

Science Journals Connector (OSTI)

We discuss an experiment on wind energy performed with home-made apparatus. The experiment reproduces a laboratory windmill, which can pump water from a lower level to a higher one. By measuring the gain of the gravitational potential energy of the pumped water, one can determine the power extracted from the wind. The activity was carried out with high-school students, in the framework of the Italian National Plan for Scientific DegreesPhysics. The proposed experiment allows teachers to discuss renewable energy sources with students whose knowledge of physics is limited to mechanics. It gives students the possibility to gain experience with energy and to increase their awareness of this renewable energy source.

Vincenzo Lombardo; Emilio Fiordilino; Aurelio Agliolo Gallitto; Pasquale Aglieco

2012-01-01T23:59:59.000Z

473

Gone with the Wind.  

E-Print Network (OSTI)

?? The purpose of this thesis is to explore disruptions Swedish wind turbines onshore are exposed to, and to estimate their economic impacts on the (more)

Duncker, Nadja; Kltzer, Anneke

2010-01-01T23:59:59.000Z

474

Barstow Wind Turbine Project  

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

Presentation covers the Barstow Wind Turbine project for the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009.

475

Vertical axis wind turbines  

DOE Patents (OSTI)

A vertical axis wind turbine is described. The wind turbine can include a top ring, a middle ring and a lower ring, wherein a plurality of vertical airfoils are disposed between the rings. For example, three vertical airfoils can be attached between the upper ring and the middle ring. In addition, three more vertical airfoils can be attached between the lower ring and the middle ring. When wind contacts the vertically arranged airfoils the rings begin to spin. By connecting the rings to a center pole which spins an alternator, electricity can be generated from wind.

Krivcov, Vladimir (Miass, RU); Krivospitski, Vladimir (Miass, RU); Maksimov, Vasili (Miass, RU); Halstead, Richard (Rohnert Park, CA); Grahov, Jurij (Miass, RU)

2011-03-08T23:59:59.000Z

476

NREL: Innovation Impact - Wind  

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

Manufacturing Manufacturing Energy Systems Integration Energy Systems Integration Wind turbines must withstand powerful aerodynamic forces unlike any other propeller-drive...

477

Wind energy analysis system .  

E-Print Network (OSTI)

??One of the most important steps to be taken before a site is to be selected for the extraction of wind energy is the analysis (more)

Koegelenberg, Johan

2014-01-01T23:59:59.000Z

478

Wind Power Forecasting  

Science Journals Connector (OSTI)

The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble...

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

479

Wind Program: Publications  

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

pres Details Bookmark & Share View Related Product Thumbnail Image 2014 Offshore Wind Market and Economic Analysis The objective of this report is to provide a...

480

Wind Success Stories  

Energy Savers (EERE)

+0000 843456 at http:energy.gov United States Launches First Grid-Connected Offshore Wind Turbine http:energy.goveeresuccess-storiesarticlesunited-states-launches-f...

Note: This page contains sample records for the topic "determine area wind" 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

wind_guidance  

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

Guidance to Accompany Non-Availability Waiver of the Recovery Act Buy American Provisions for 5kW and 50kW Wind Turbines

482

Allegany County Wind Ordinance  

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

This ordinance sets requirements for industrial wind energy conversion systems. These requirements include minimum separation distances, setback requirements, electromagnetic interference analysis ...

483

Wind Power , Introduction  

Science Journals Connector (OSTI)

Successful implementation of new technologies requires social acceptance. Historically, for the implementation of wind energy this was considered a relatively simple issue ... strategies. Without much study, soci...

Prof. Lennart Sder

2013-01-01T23:59:59.000Z

484

Wind Power , Introduction  

Science Journals Connector (OSTI)

Successful implementation of new technologies requires social acceptance. Historically, for the implementation of wind energy this was considered a relatively simple issue ... strategies. Without much study, soci...

Prof. Lennart Sder

2012-01-01T23:59:59.000Z

485

Wind Energy Myths  

SciTech Connect

This two-sided fact sheet succinctly outlines and counters the top misconceptions about wind energy. It is well suited for general audiences.

Not Available

2005-05-01T23:59:59.000Z

486

Campbell County Wind Farm  

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

environmental assessment (EA) on the proposed interconnection of the Campbell County Wind Farm (Project) in Campbell County, near the city of Pollock, South Dakota. Dakota...

487

Energy from the wind  

Science Journals Connector (OSTI)

The large?scale generation of electrical power by wind turbine fields is discussed. It is shown that the maximum power which can be extracted by a wind turbine is 16/27 or 59.3% of the power available in the wind. An estimate is made of the total electrical power which could be generated in the United States by utilizing wind energy. The material in this paper was presented by the authors in a one?semester course on energy science. It could also be used in an introductory physics class as an illustration of elementary fluid mechanics concepts and of the basic principles of energy and momentum conservation.

David G. Pelka; Robert T. Park; Runbir Singh

1978-01-01T23:59:59.000Z

488

What is Distributed Wind?  

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

and refurbishers, including those from Canada, Mexico, Europe, China, and South Africa. In 2013, 30.4 MW of new distributed wind capacity was added, representing nearly...

489

Proceedings Nordic Wind Power Conference  

E-Print Network (OSTI)

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

490

Optimization of Wind Turbine Operation  

E-Print Network (OSTI)

inclination angle was about 1°. The spinner anemometer measurements were correlated with wind speed and windOptimization of Wind Turbine Operation by Use of Spinner Anemometer TF Pedersen, NN Sørensen, L Title: Optimization of Wind Turbine Operation by Use of Spinner Anemometer Department: Wind Energy

491

An introduction to the small wind turbine project  

SciTech Connect

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

492

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":""}]}

493

20% Wind Energy by 2030: Increasing Wind Energy's Contribution...  

Office of Environmental Management (EM)

: Increasing Wind Energy's Contribution to U.S. Electricity Supply 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply Here you will find the...

494

NREL: Wind Research - Get to Know a Wind Energy Expert  

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

Get to Know a Wind Energy Expert The Evolution of a Wind Expert A professional headshot photo of Maureen Hand Maureen Hand Maureen Hand knows wind. Growing up in Glenrock, Wyoming,...

495

American Wind Energy Association Wind Energy Finance and Investment...  

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

Wind Energy Finance and Investment Seminar American Wind Energy Association Wind Energy Finance and Investment Seminar October 20, 2014 8:00AM EDT to October 21, 2014 5:00PM EDT...

496

United States Wind Resource Map: Annual Average Wind Speed at...  

Wind Powering America (EERE)

4.0 Source: Wind resource estimates developed by AWS Truepower, LLC for windNavigator . Web: http:www.windnavigator.com | http:www.awstruepower.com. Spatial resolution of wind...

497

WINDExchange: Offshore 90-Meter Wind Maps and Wind Resource Potential  

Wind Powering America (EERE)

Offshore 90-Meter Wind Maps and Wind Resource Potential The U.S. Department of Energy provides 90-meter (m) height, high-resolution wind maps and estimates of the total offshore...

498

Identification of airfoil characteristics for optimum wind turbine performance / b  

E-Print Network (OSTI)

combine to determine how much power output is obtained. Oi' specific interest in this study is the influence of airi'oil section characteristics on horizontal axis wind turbine (HAWT) performance. By identifying these characteristics, better selection... characteristics f' or HAWT airfoil design or selection. EFFECT OF AIRFOIL CHARACTERISTICS ON INTEGRATED TURBINE PERFORMANCE Wind Turbine Performance Com uter Pro ram An existing horizontal axis wind turbine (HAWT) performance computer program" was modified f...

Miller, Leonard Scott

1983-01-01T23:59:59.000Z

499

Simulations of an inhomogeneous stellar wind interacting with a pulsar wind in a binary system  

E-Print Network (OSTI)

Binary systems containing a massive star and a non-accreting pulsar present strong interaction between the stellar and the pulsar winds. The properties of this interaction, which largely determine the non-thermal radiation in these systems, strongly depend on the structure of the stellar wind, which can be clumpy or strongly anisotropic, as in Be stars. We study numerically the influence of inhomogeneities in the stellar wind on the structure of the two-wind interaction region. We carried out for the first time axisymmetric, relativistic hydrodynamical simulations, with Lorentz factors of ~6 and accounting for the impact of instabilities, to study the impact in the two-wind interaction structure of an over-dense region of the stellar wind. We also followed the evolution of this over-dense region or clump as it faces the impact of the pulsar wind. For typical system parameters, and adopting a stellar wind inhomogeneity with a density contrast >~10, clumps with radii of a few percent of the binary size can sign...

Paredes-Fortuny, Xavier; Perucho, Manel; Rib, Marc

2014-01-01T23:59:59.000Z

500

DOE Seeking Proposals to Advance Distributed Wind Turbine Technology...  

Energy Savers (EERE)

Project (CIP). The CIP aims to help U.S. manufacturers of small and mid-sized wind turbines with rotor swept areas up to 1,000 square meters improve their turbine designs and...