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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

Impact of Balancing Areas Size, Obligation Sharing, and Ramping Capability on Wind Integration: Preprint  

DOE Green Energy (OSTI)

This paper examines wind integration costs as a function of balancing area size to determine if the larger system size helps mitigate wind integration cost increases.

Milligan, M.; Kirby, B.

2007-06-01T23:59:59.000Z

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

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

SciTech Connect

The National Renewable Energy Laboratory (NREL), under an interagency agreement with the Bureau of Ocean Energy Management (BOEM), is providing technical assistance to BOEM on the identification and delineation of offshore leasing areas for offshore wind energy development within the Atlantic Coast Wind Energy Areas (WEAs) established by BOEM in 2012. This report focuses on NREL's evaluation of BOEM's Rhode Island/Massachusetts (RIMA) WEA leasing areas. The objective of the NREL evaluation was to assess the proposed delineation of the two leasing areas and determine if the division is reasonable and technically sound. Additionally, the evaluation aimed to identify any deficiencies in the delineation. As part of the review, NREL performed the following tasks: 1. Performed a limited review of relevant literature and RIMA call nominations. 2. Executed a quantitative analysis and comparison of the two proposed leasing areas 3. Conducted interviews with University of Rhode Island (URI) staff involved with the URI Special Area Management Plan (SAMP) 4. Prepared this draft report summarizing the key findings.

Musial, W.; Elliott, D.; Fields, J.; Parker, Z.; Scott, G.

2013-04-01T23:59:59.000Z

4

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

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL), under an interagency agreement with the Bureau of Ocean Energy Management (BOEM), is providing technical assistance to BOEM on the identification and delineation of offshore leasing areas for offshore wind energy development within the Atlantic Coast Wind Energy Areas (WEAs) established by BOEM in 2012. This report focuses on NREL's evaluation of BOEM's Rhode Island/Massachusetts (RIMA) WEA leasing areas. The objective of the NREL evaluation was to assess the proposed delineation of the two leasing areas and determine if the division is reasonable and technically sound. Additionally, the evaluation aimed to identify any deficiencies in the delineation. As part of the review, NREL performed the following tasks: 1. Performed a limited review of relevant literature and RIMA call nominations. 2. Executed a quantitative analysis and comparison of the two proposed leasing areas 3. Conducted interviews with University of Rhode Island (URI) staff involved with the URI Special Area Management Plan (SAMP) 4. Prepared this draft report summarizing the key findings.

Musial, W.; Elliott, D.; Fields, J.; Parker, Z.; Scott, G.

2013-04-01T23:59:59.000Z

5

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

E-Print Network (OSTI)

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

Nebraska-Lincoln, University of

6

Wind-hydrogen energy systems for remote area power supply.  

E-Print Network (OSTI)

??Wind-hydrogen systems for remote area power supply are an early niche application of sustainable hydrogen energy. Optimal direct coupling between a wind turbine and an (more)

Janon, A

2009-01-01T23:59:59.000Z

7

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.

8

Assessment of Offshore Wind Energy Leasing Areas for the BOEM...  

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

Assessment of Offshore Wind Energy Leasing Areas for the BOEM New Jersey Wind Energy Area W. Musial, D. Elliott, J. Fields, Z. Parker, G. Scott, and C. Draxl National Renewable...

9

Assessment of Offshore Wind Energy Leasing Areas for the BOEM...  

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

Assessment of Offshore Wind Energy Leasing Areas for the BOEM Maryland Wind Energy Area W. Musial, D. Elliott, J. Fields, Z. Parker, G. Scott, and C. Draxl Produced under direction...

10

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

11

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

DOE Green Energy (OSTI)

The 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 evaluation of the delineation proposed by the Maryland Energy Administration (MEA) for the Maryland (MD) WEA and two alternative delineations. The objectives of the NREL evaluation were to assess MEA's proposed delineation of the MD WEA, perform independent analysis, and recommend how the MD WEA should be delineated.

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

2013-06-01T23:59:59.000Z

12

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

SciTech Connect

The 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 evaluation of the delineation proposed by the Maryland Energy Administration (MEA) for the Maryland (MD) WEA and two alternative delineations. The objectives of the NREL evaluation were to assess MEA's proposed delineation of the MD WEA, perform independent analysis, and recommend how the MD WEA should be delineated.

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

2013-06-01T23:59:59.000Z

13

Assessment of Offshore Wind Energy Leasing Areas for the BOEM New Jersey Wind Energy Area  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL), under an interagency agreement with the U.S. Department of the Interior's 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 and evaluation of the delineations for the New Jersey (NJ) WEA. The overarching objective of this study is to develop a logical process by which the New Jersey 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 identified a selection of leasing areas and proposed delineation boundaries within the established NJ WEA. The 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.; Elliott, D.; Fields, J.; Parker, Z.; Scott, G.; Draxl, C.

2013-10-01T23:59:59.000Z

14

Wide Area Wind Field Monitoring Status & Results  

DOE Green Energy (OSTI)

Volume-scanning elastic has been investigated as a means to derive 3D dynamic wind fields for characterization and monitoring of wind energy sites. An eye-safe volume-scanning lidar system was adapted for volume imaging of aerosol concentrations out to a range of 300m. Reformatting of the lidar data as dynamic volume images was successfully demonstrated. A practical method for deriving 3D wind fields from dynamic volume imagery was identified and demonstrated. However, the natural phenomenology was found to provide insufficient aerosol features for reliable wind sensing. The results of this study may be applicable to wind field measurement using injected aerosol tracers.

Alan Marchant; Jed Simmons

2011-09-30T23:59:59.000Z

15

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

16

The Relationship Between the Surface Wind Field and Convective Precipitation over the St. Louis Area  

Science Conference Proceedings (OSTI)

Rainfall, wind and temperature data at the surface for a mesoscale area surrounding St. Louis, Missouri for seven summer days in 1975 were used to determine qualitative and quantitative relationships between divergence, and the location, timing ...

Gary L. Achtemeier

1983-06-01T23:59:59.000Z

17

Session: What can we learn from developed wind resource areas  

DOE Green Energy (OSTI)

This session at the Wind Energy and Birds/Bats workshop was composed of two parts intended to examine what existing science tells us about wind turbine impacts at existing wind project sites. Part one dealt with the Altamont Wind Resource area, one of the older wind projects in the US, with a paper presented by Carl Thelander titled ''Bird Fatalities in the Altamont Pass Wind Resource Area: A Case Study, Part 1''. Questions addressed by the presenter included: how is avian habitat affected at Altamont and do birds avoid turbine sites; are birds being attracted to turbine strings; what factors contribute to direct impacts on birds by wind turbines at Altamont; how do use, behavior, avoidance and other factors affect risk to avian species, and particularly impacts those species listed as threatened, endangered, or of conservation concern, and other state listed species. The second part dealt with direct impacts to birds at new generation wind plants outside of California, examining such is sues as mortality, avoidance, direct habitat impacts from terrestrial wind projects, species and numbers killed per turbine rates/MW generated, impacts to listed threatened and endangered species, to USFWS Birds of Conservation Concern, and to state listed species. This session focused on newer wind project sites with a paper titled ''Bird Fatality and Risk at New Generation Wind Projects'' by Wally Erickson. Each paper was followed by a discussion/question and answer period.

Thelander, Carl; Erickson, Wally

2004-09-01T23:59:59.000Z

18

Wind Monitoring Report for Fort Wainwright's Donnelly Training Area  

DOE Green Energy (OSTI)

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

19

Coastal zone wind energy. Part III: a procedure to determine the wind power potential of the coastal zone  

DOE Green Energy (OSTI)

A stepwise procedure is presented for determining the seasonal and/or annual mean potential wind power density for any location on the East and Gulf coasts of the United States. The steps include reference to the dominant wind regimes and mean power densities already obtained to estimate the wind power potential of the location under consideration; methods to calculate the potential wind power distributions and steps to be taken to locate the best site in the area of interest. The method can be best applied where the atmospheric systems which produce most of the wind energy at the surface are relatively persistent. The method is least successful in areas where the wind field is highly variable. Application of the complete method requires the use of an existing two- or three-dimensional mesoscale numerical model.

Garstang, M.; Pielke, R.; Snow, J.W.

1982-03-01T23:59:59.000Z

20

Statistical analysis of summer winds in Geysers area prior to ASCOT 1979 experiment  

DOE Green Energy (OSTI)

Statistical analytical techniques were tested on 73 days and 16 stations of hourly data for the summer of 1977. These stations were located in the region surrounding the Geysers geothermal area. Principal components analysis (PCA) was used to define typical wind patterns in the region and to determine typical days for each station. Power spectral analysis was used to quantify the temporal variation of winds at Anderson Ridge and Anderson Springs (two stations included in the ASCOT 1979 study in the local region of Anderson Creek with very different terrain exposures). These results will help determine year to year difference in the wind fields in the ASCOT study region of complex terrain.

Porch, W.M.; Walton, J.J.

1980-02-01T23:59:59.000Z

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.


21

Avian use of Norris Hill Wind Resource Area, Montana  

DOE Green Energy (OSTI)

This document presents results of a study of avian use and mortality in and near a proposed wind resource area in southwestern Montana. Data collected in autumn 1995 through summer 1996 represented preconstruction condition; it was compiled, analyzed, and presented in a format such that comparison with post-construction data would be possible. The primary emphasis of the study was recording avian migration in and near the wind resource area using state-of-the-art marine surveillance radar. Avian use and mortality were investigated during the breeding season by employing traditional avian sampling methods, radiotelemetry, radar, and direct visual observation. 61 figs., 34 tabs.

Harmata, A.; Podruzny, K.; Zelenak, J. [Montana State Univ., Bozeman, MT (United States). Biology Dept.

1998-07-01T23:59:59.000Z

22

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

23

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

24

Proposed Flyers Creek Wind Farm, Blayney Local Government Area  

E-Print Network (OSTI)

Application reference: MP 08_0252 The Flyers Creek Wind Turbine Awareness Group Inc. (FCWTAG) is comprised of a large group of concerned residents of the Blayney Local Government Area. We object to the Proposed Flyers Creek Wind Farm (the proposal) in the strongest possible terms. We believe this development is totally inappropriate. This submission details our objections. The FCWTAG requests that representatives of the group be given the opportunity to speak at the Planning Assessment Commission hearing related to this proposal. Yours faithfully,

Major Development Assessment; Sydney Nsw; Dr. Colleen; J Watts Oam

2011-01-01T23:59:59.000Z

25

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

DOE Green Energy (OSTI)

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

26

Wind Energy Resources | Department of Energy  

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

determine whether the wind resource in a particular area is adequate for wind power. Addthis Related Articles Glossary of Energy Related Terms Hydropower Technologies Wind Turbines...

27

CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven University campus  

Science Conference Proceedings (OSTI)

Wind comfort and wind safety for pedestrians are important requirements in urban areas. Many city authorities request studies of pedestrian wind comfort and wind safety for new buildings and new urban areas. These studies involve combining statistical ... Keywords: Building aerodynamics, Built environment, Computational fluid dynamics (CFD), Discomfort and danger, Experimental validation, Guidelines, Wind flow

B. Blocken; W. D. Janssen; T. van Hooff

2012-04-01T23:59:59.000Z

28

WindPACT Turbine Design Scaling Studies Technical Area 2: Turbine, Rotor and Blade Logistics  

SciTech Connect

Through the National Renewable Energy Laboratory (NREL), the United States Department of Energy (DOE) implemented the Wind Partnership for Advanced Component Technologies (WindPACT) program. This program will explore advanced technologies that may reduce the cost of energy (COE) from wind turbines. The initial step in the WindPACT program is a series of preliminary scaling studies intended to determine the optimum sizes for future turbines, help define sizing limits for certain critical technologies, and explore the potential for advanced technologies to contribute to reduced COE as turbine scales increase. This report documents the results of Technical Area 2-Turbine Rotor and Blade Logistics. For this report, we investigated the transportation, assembly, and crane logistics and costs associated with installation of a range of multi-megawatt-scale wind turbines. We focused on using currently available equipment, assembly techniques, and transportation system capabilities and limitations to hypothetically transport and install 50 wind turbines at a facility in south-central South Dakota.

Smith, K.

2001-07-16T23:59:59.000Z

29

A Statistical Comparison of Methods for Determining Ocean Surface Winds  

Science Conference Proceedings (OSTI)

The performance of various techniques which determine ocean surface winds using information from large-scale analyses and forecast models is discussed. The techniques evaluated are the geostrophic relation, a simple empirical law, National ...

W. H. Gemmill; T. W. Yu; D. M. Feit

1988-06-01T23:59:59.000Z

30

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size (Poster)  

DOE Green Energy (OSTI)

WindPower 2008 conference sponsored by AWEA held in Houston, TX on June 1-4 2008. This poster illustrates the data collected for an analysis of sub-hourly ramping impacts of wind energy and balancing area size.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

31

Comparison of 10-m Wind Forecasts from a Regional Area Model and QuikSCAT Scatterometer Wind Observations over the Mediterranean Sea  

Science Conference Proceedings (OSTI)

Surface wind forecasts from a limited-area model [the Quadrics Bologna Limited-Area Model (QBOLAM)] covering the entire Mediterranean area at 0.1 grid spacing are verified against Quick Scatterometer (QuikSCAT) wind observations. Only forecasts ...

Christophe Accadia; Stefano Zecchetto; Alfredo Lavagnini; Antonio Speranza

2007-05-01T23:59:59.000Z

32

Area wind farm energy production BACKGROUND -In Central New York State, home of the New York State Fair, wind turbine construction has had a noticeable  

E-Print Network (OSTI)

Area wind farm energy production ­ BACKGROUND - In Central New York State, home of the New York State Fair, wind turbine construction has they are then trucked to their destinations, and quite a few wind farms dot the hills. One

Keinan, Alon

33

Capacity Requirements to Support Inter-Balancing Area Wind Delivery  

DOE Green Energy (OSTI)

Paper examines the capacity requirements that arise as wind generation is integrated into the power system and how those requirements change depending on where the wind energy is delivered.

Kirby, B.; Milligan, M.

2009-07-01T23:59:59.000Z

34

Wind Resource Mapping for United States Offshore Areas  

DOE Green Energy (OSTI)

A poster for the WindPower 2006 conference showing offshore resource mapping efforts in the United States.

Elliott, D.; Schwartz, M.

2006-06-01T23:59:59.000Z

35

Distribution of Extreme Winds in the Bonneville Power Administration Service Area  

Science Conference Proceedings (OSTI)

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

J. William Wantz; Robert E. Sinclair

1981-12-01T23:59:59.000Z

36

Multi-Area Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained  

E-Print Network (OSTI)

Multi-Area Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained@ieor.berkeley.edu In this paper we present a unit commitment model for studying the impact of large-scale wind integration of renewable energy integration. Key words : unit commitment; stochastic programming; wind power; transmission

Oren, Shmuel S.

37

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

38

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

39

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

40

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

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

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

42

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

43

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

44

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

45

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

46

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

47

Avian Monitoring and Risk Assessment at the San Gorgonio Wind Resource Area  

DOE Green Energy (OSTI)

The primary objective of this study at the San Gorgonio Wind Resource Area was to estimate and compare bird utilization, fatality rates, and the risk index among factors including bird taxonomic groups, wind turbine and reference areas, wind turbine sizes and types, and geographic locations. The key questions addressed to meet this objective include: (1) Are there any differences in the level of bird activity, called ''utilization rate'' or ''use'', with the operating wind plant and within the surrounding undeveloped areas (reference area)?; (2) Are there any differences in the rate of bird fatalities (or avian fatality) within the operating wind plant or the surrounding undeveloped areas (reference area)?; (3) Does bird use, fatality rates, or bird risk index vary according to the geographic location, type and size of wind turbine, and/or type of bird within the operating wind plant and surrounding undeveloped areas (reference area)?; and (4) How do raptor fatality rates at San Gorgonio compare to other wind projects with comparable data?

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

2005-08-01T23:59:59.000Z

48

Wind Resource Mapping for United States Offshore Areas: Preprint  

DOE Green Energy (OSTI)

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

49

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

50

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

51

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

52

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

53

Bat Interactions with Wind Turbines at the Buffalo Ridge, Minnesota Wind Resource Area: An Assessment of Bat Activity, Species Compo sition and Collision Mortality  

Science Conference Proceedings (OSTI)

During avian monitoring studies conducted from 1994-1999, several bat collision victims were found at wind turbines in the Buffalo Ridge Resource Area (WRA) in southwest Minnesota. This study further examined bat interactions with wind turbines at this site.

2003-11-05T23:59:59.000Z

54

Wind and Temperature Structure over a Land-Water-Land Area  

Science Conference Proceedings (OSTI)

Wind and temperature data obtained on 5 June 1984 during the resund experiment are analyzed. The day was characterized by moderately strong winds blowing from a heated land area over a colder water surface and then over a second heated land ...

J. C. Doran; Sven-Erik Gryning

1987-08-01T23:59:59.000Z

55

A Model for Objective Simulation of Boundary-Layer Winds in an Area of Complex Terrain  

Science Conference Proceedings (OSTI)

An objective analysis model is formulated to simulate the boundary-layer wind field in an area of complex terrain on the island of Oahu, Hawaii. The model is designed to reproduce the effects of the terrain on the undisturbed trade wind flow in ...

D. Andr Erasmus

1986-12-01T23:59:59.000Z

56

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

Science Conference Proceedings (OSTI)

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

2000-09-08T23:59:59.000Z

57

Low-Level Winds in Tornadoes and Potential Catastrophic Tornado Impacts in Urban Areas  

Science Conference Proceedings (OSTI)

Using an axisymmetric model of tornado structure tightly constrained by high-resolution wind field measurements collected by Doppler on Wheels (DOW) mobile radars, the potential impacts of intense tornadoes crossing densely populated urban areas ...

Joshua Wurman; Paul Robinson; Curtis Alexander; Yvette Richardson

2007-01-01T23:59:59.000Z

58

A New Approach for the Determination of Horizontal Wind Direction Fluctuations  

Science Conference Proceedings (OSTI)

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

J. I. Ibarra

1995-09-01T23:59:59.000Z

59

An assessment of the available windy land area and wind energy potential in the contiguous United States  

DOE Green Energy (OSTI)

Estimates of land areas with various levels of wind energy resource and resultant wind energy potential have been developed for each state in the contiguous United States. The estimates are based on published wind resource data and account for the exclusion of some windy lands as a result of environmental and land-use considerations. Despite these exclusions, the amount of wind resource estimated over the contiguous United States is surprisingly large and has the potential to supply a substantial fraction of the nation's energy needs, even with the use of today's wind turbine technology. Although this study shows that, after exclusions, only about 0.6% of the land area in the contiguous United States is characterized by high wind resource (comparable to that found in windy areas of California where wind energy is being cost-effectively developed), the wind electric potential that could be extracted with today's technology from these areas across the United States is equivalent to about 20% of the current US electric consumption. Future advances in wind turbine technology will further enhance the potential of wind energy. As advances in turbine technology allow areas of moderate wind resource to be developed, more than a tenfold increase in the wind energy potential is possible. These areas, which cover large sections of the Great Plains and are widely distributed throughout many other sections of the country, have the potential of producing more than three times the nation's current electric consumption. 9 refs., 12 figs., 13 tabs.

Elliott, D.L.; Wendell, L.L.; Gower, G.L.

1991-08-01T23:59:59.000Z

60

Monitoring and Determination of Wind Energy Potential by Web Based Wireless Network  

Science Conference Proceedings (OSTI)

In this paper, we develop a web based interface which performs a wireless communication with ZigBee protocol for monitoring wind energy potential and also gathering custom reports for determination of the interested wind field. A custom printed circuit ... Keywords: wind energy, wireless network, web based control

Onur Keskin; ISmet Ates; Ziya Haktan Karadeniz; Alpaslan Turgut; Zeki KiRal

2012-12-01T23:59:59.000Z

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.


61

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

Science Conference Proceedings (OSTI)

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

62

Numerical Analysis on the Contribution of Urbanization to Wind Stilling: An Example over the Greater Beijing Metropolitan Area  

Science Conference Proceedings (OSTI)

A decline of surface wind speed (wind stilling) has been observed in many regions of the world. The greater Beijing metropolitan area in China is taken as an example for analyzing the urbanization impact on wind stilling. This study set up five ...

Aizhong Hou; Guangheng Ni; Hanbo Yang; Zhidong Lei

2013-05-01T23:59:59.000Z

63

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

Colorado River Storage Project Management Center Categorical Exclusion Determinations: Western Area Power Administration-Colorado River Storage Project Management Center...

64

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

DOE Green Energy (OSTI)

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

65

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

66

On Sudbury-Area Wind SpeedsA Tale of Forest Regeneration  

Science Conference Proceedings (OSTI)

A 34% reduction in 10-m wind speeds at Sudbury Airport in Ontario, Canada, over the period 197595 appears to be a result of significant changes in the surface roughness of the surrounding area that are due to land restoration and reforestation ...

Andrew J. Tanentzap; Peter A. Taylor; Norman D. Yan; James R. Salmon

2007-10-01T23:59:59.000Z

67

A pilot golden eagle population study in the Altamont Pass Wind Resource Area, California  

Science Conference Proceedings (OSTI)

Orloff and Flannery (1992) estimated that several hundred reports are annually killed by turbine collisions, wire strikes, and electrocutions at the Altamont Pass Wind Resource Area (WRA). The most common fatalities were those of red-tailed hawks (Buteo jamaicensis), American kestrels (Falco sparvatius), and golden eagles (Aquila chrysaetos), with lesser numbers of turkey vultures (Cathartes aura), common ravens (Corvus corax), bam owls (Tyto alba), and others. Among the species of raptors killed at Altamont Pass, the one whose local population is most likely to be impacted is the golden eagle. Besides its being less abundant than the others, the breeding and recruitment rates of golden eagles are naturally slow, increasing their susceptibility to decline as a result of mortality influences. The golden eagle is a species afforded special federal protection because of its inclusion within the Bald Eagle Protection Act as amended in 1963. There are no provisions within the Act which would allow the killing ``taking`` of golden eagles by WRA structures. This report details the results of field studies conducted during 19941. The primary purpose of the investigation is to lay the groundwork for determining whether or not turbine strikes and other hazards related to energy at Altamont Pass may be expected to affect golden eagles on a population basis. We also seek an understanding of the physical and biotic circumstances which attract golden eagles to the WRA within the context of the surrounding landscape and the conditions under which they are killed by wind turbines. Such knowledge may suggest turbine-related or habitat modifications that would result in a lower incidence of eagle mortality.

Hunt, G. [California Univ., Santa Cruz, CA (United States). Predatory Bird Research Group

1995-05-01T23:59:59.000Z

68

Method and Case Study for Estimating the Ramping Capability of a Control Area or Balancing Authority and Implications for Moderate or High Wind Penetration: Preprint  

Science Conference Proceedings (OSTI)

In several regions of the United States there has been a significant increase in wind generation capability over the past several years. As the penetration rate of wind capacity increases, grid operators and planners are increasingly concerned about accommodating the increased variability that wind contributes to the system. In this paper we examine the distinction between regulation, load following, hourly energy, and energy imbalance to understand how restructured power systems accommodate and value inter-hour ramps. We use data from two restructured markets, California and PJM, and from Western Area Power Administration's (WAPA's) Rocky Mountain control area to determine expected load-following capability in each region. Our approach is to examine the load-following capability that currently exists using data from existing generators in the region. We then examine the levels of wind penetration that can be accommodated with this capability using recently collected wind farm data. We discuss how load-following costs are captured in restructured markets, what resources are available to meet these requirements, why there are no explicit load-following tariffs, and the societal importance of being able to access generator ramping capability. Finally, the implications for wind plants and wind integration costs are examined.

Kirby, B.; Milligan, M.

2005-05-01T23:59:59.000Z

69

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

70

Integrating Wind into Transmission Planning: The Rocky Mountain Area Transmission Study (RMATS): Preprint  

DOE Green Energy (OSTI)

Plans to expand the western grid are now underway. Bringing power from low-cost remote resources--including wind--to load centers could reduce costs for all consumers. But many paths appear to be already congested. Locational marginal price-based modeling is designed to identify the most cost-effective paths to be upgraded. The ranking of such paths is intended as the start of a process of political and regulatory approvals that are expected to result in the eventual construction of new and upgraded lines. This paper reviews the necessary data and analytical tasks to accurately represent wind in such modeling, and addresses some policy and regulatory issues that can help with wind integration into the grid. Providing wind fair access to the grid also (and more immediately) depends on tariff and regulatory changes. Expansion of the Rocky Mountain Area Transmission Study (RMATS) study scope to address operational issues supports the development of transmission solutions that enable wind to connect and deliver power in the next few years--much sooner than upgrades can be completed.

Hamilton, R.; Lehr, R.; Olsen, D.; Nielsen, J.; Acker, T.; Milligan, M.; Geller, H.

2004-03-01T23:59:59.000Z

71

Using Economics to Determine the Efficient Curtailment of Wind Energy  

DOE Green Energy (OSTI)

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

72

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region June 5, 2012 CX-008778: Categorical Exclusion Determination Combined Crew Vegetation Management on...

73

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

Categorical Exclusion Determination Installation of Cattle Guard at Western Area power Administration's Oracle Electrical Substation CX(s) Applied: B1.11 Date: 05092013...

74

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

Mountain Region Categorical Exclusion Determinations issued by Western Area Power Administration-Rocky Mountain Region. DOCUMENTS AVAILABLE FOR DOWNLOAD June 20, 2013...

75

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

Great Plains Region Categorical Exclusion Determinations issued by Western Area Power Administration-Upper Great Plains Region. DOCUMENTS AVAILABLE FOR DOWNLOAD March 22,...

76

Avian risk behavior and fatalities at the Altamont Wind Resource Area: March 1998 - February 1999  

DOE Green Energy (OSTI)

Since 1981, more than 7,000 wind turbines have been installed in the Altamont Wind Resource Area in north-central California. Currently, about 5,000 turbines are operating. Past research efforts demonstrated that wind turbines frequently kill birds, especially raptors. Little is known about the specific flight and perching behaviors by birds near wind turbines. A better understanding of these interactions may one day yield insights on how to minimize bird fatalities. This Phase 1 progress report summarizes research findings obtained at 20 study plots totaling 785 turbines of various configurations and conducted between March 1998 and February 1999. The authors examined bird use and behaviors and collected data on fatalities at the same turbines throughout the course of the surveys. They completed 745 30-minute point counts (1,702 bird observations) that quantified bird risk behaviors and bird use of the study plots. The four most frequently observed bird species were red-tailed hawks, common ravens, turkey vultures, and golden eagles. During the same period, the authors recorded 95 bird fatalities. Raptors represent 51% (n=49) of the kills found. The data indicate that the relative abundance of species observed does not predict the relative frequency of fatalities per species. Phase II of the research is underway.

Thelander, C.; Rugge, L.

2000-05-08T23:59:59.000Z

77

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

78

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

79

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

SciTech Connect

The United States Department of Energy (DOE) through the National Renewable Energy Laboratory (NREL) implemented the Wind Partnership for Advanced Component Technologies (WindPACT) program. As part of the WindPACT program, Global Energy Concepts, LLC (GEC), was awarded contract number YAM-0-30203-01 to examine Technical Area 1-Blade Scaling, Technical Area 2-Turbine Rotor and Blade Logistics, and Technical Area 3-Self-Erecting Towers. This report documents the results of GEC's Technical Area 1-Blade Scaling. The primary objectives of the Blade-Scaling Study are to assess the scaling of current materials and manufacturing technologies for blades of 40 to 60 meters in length, and to develop scaling curves of estimated cost and mass for rotor blades in that size range.

Griffin, D.A.

2001-04-30T23:59:59.000Z

80

Direct Determination of Wind Shears from the Gradients of Satellite Radiance Observations  

Science Conference Proceedings (OSTI)

To the extent that the stratosphere wind field is close to geostrophic, the thermal wind is a good approximation to the vertical wind shear (vertical variation of the horizontal wind). And since the thermal wind is proportional to the horizontal ...

George Ohring; Binyamin Neeman; Louis D. Duncan

1981-11-01T23:59:59.000Z

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.


81

Sun, wind, and pedestrian comfort: a study of Toronto's Central Area  

E-Print Network (OSTI)

No. ST10,1978, pp. 1585-1593. Sun, Wind and Comfort Appendixshadow for both spaces. Sun, Wind and Comfort Discretionaryfor the obvious reason that the sun does not shine from the

Bosselmann, P.; Arens, Edward A; Dunker, K.; Wright, R.

1990-01-01T23:59:59.000Z

82

Sun, Wind, and Comfort A Study of Open Spaces and Sidewalks in Four Downtown Areas  

E-Print Network (OSTI)

Plan as o f Bibliography Sun, Wind, and Comfort Arens,Flores, and Terence O'Hare, Sun and Light for Downtown SanSUN, WIND, AND COMFORT A Study of Open Spaces and Sidewalks

1984-01-01T23:59:59.000Z

83

Determining the Capacity Value of Wind: A Survey of Methods and Implementation; Preprint  

DOE Green Energy (OSTI)

This paper focuses on methodologies for determining the capacity value of generating resources, including wind energy and summarizes several important state and regional studies. Regional transmission organizations, state utility regulatory commissions, the North American Electric Reliability Council, regional reliability councils, and increasingly, the Federal Energy Regulatory Commission all advocate, call for, or in some instances, require that electric utilities and competitive power suppliers not only have enough generating capacity to meet customer demand but also have generating capacity in reserve in case customer demand is higher than expected, or if a generator or transmission line goes out of service. Although the basic concept is the same across the country, how it is implemented is strikingly different from region to region. Related to this question is whether wind energy qualifies as a capacity resource. Wind's variability makes this a matter of great debate in some regions. However, many regions accept that wind energy has some capacity value, albeit at a lower value than other energy technologies. Recently, studies have been published in California, Minnesota and New York that document that wind energy has some capacity value. These studies join other initiatives in PJM, Colorado, and in other states and regions.

Milligan, M.; Porter, K.

2005-05-01T23:59:59.000Z

84

Wind Stress Curl and Coastal Upwelling in the Area of Monterey Bay Observed during AOSN-II  

Science Conference Proceedings (OSTI)

Aircraft measurements obtained during the 200304 Autonomous Ocean Sampling Network (AOSN-II) project were used to study the effect of small-scale variations of near-surface wind stress on coastal upwelling in the area of Monterey Bay. Using 5-km-...

Q. Wang; J. A. Kalogiros; S. R. Ramp; J. D. Paduan; G. Buzorius; H. Jonsson

2011-05-01T23:59:59.000Z

85

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size: Preprint  

DOE Green Energy (OSTI)

In this paper, we analyze sub-hourly ramping requirements and the benefit of combining Balancing Authority operations with significant wind penetrations.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

86

Short Term Hydro Power Planning Coordinated with Wind Power in Areas with Congestion Problems  

E-Print Network (OSTI)

In this paper a day-ahead planning algorithm for a multi-reservoir hydropower system coordinated with wind power is developed. Coordination applies to real situations, where wind power and hydropower are owned by different utilities, sharing the same transmission lines, though hydropower has priority for transmission capacity. Coordination is thus necessary to minimize wind energy curtailments during congestion situations. The planning algorithm accounts for the uncertainty of wind power forecasts and power market price uncertainty. Planning for the spot market and the regulating market is considered in the algorithm. The planning algorithm is applied to a case study and the results are summarized in the paper.

J. Matevosyan; et al.

2006-01-01T23:59:59.000Z

87

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

SciTech Connect

DOE's Wind Partnerships for Advanced Component Technologies (WindPACT) program explores the most advanced wind-generating technologies for improving reliability and decreasing energy costs. The first step in the WindPact program is a scaling study to bound the optimum sizes for wind turbines, to define size limits for certain technologies, and to scale new technologies. The program is divided into four projects: Composite Blades for 80-120-meter Rotors; Turbine, Rotor, and Blade Logistics; Self-Erecting Tower and Nacelle Feasibility; and Balance-of-Station Cost. This report discusses balance-of-station costs, which includes the electrical power collector system, wind turbine foundations, communications and controls, meteorological equipment, access roadways, crane pads, and the maintenance building. The report is based on a conceptual 50-megawatt (MW) wind farm site near Mission, South Dakota. Cost comparisons are provided for four sizes of wind turbines: 750 kilowatt (kW), 2.5 MW, 5.0 MW, and 10.0 MW.

Shafer, D. A.; Strawmyer, K. R.; Conley, R. M.; Guidinger J. H.; Wilkie, D. C.; Zellman, T. F.

2001-07-24T23:59:59.000Z

88

System and method for determining stator winding resistance in an AC motor using motor drives  

DOE Patents (OSTI)

A system and method for determining the stator winding resistance of AC motors is provided. The system includes an AC motor drive having an input connectable to an AC source and an output connectable to an input terminal of an AC motor, a pulse width modulation (PWM) converter having switches therein to control current flow and terminal voltages in the AC motor, and a control system connected to the PWM converter. The control system generates a command signal to cause the PWM converter to control an output of the AC motor drive corresponding to an input to the AC motor, selectively generates a modified command signal to cause the PWM converter to inject a DC signal into the output of the AC motor drive, and determines a stator winding resistance of the AC motor based on the DC signal of at least one of the voltage and current.

Lu, Bin; Habetler, Thomas G; Zhang, Pinjia

2013-02-26T23:59:59.000Z

89

System and method for determining stator winding resistance in an AC motor  

Science Conference Proceedings (OSTI)

A system and method for determining stator winding resistance in an AC motor is disclosed. The system includes a circuit having an input connectable to an AC source and an output connectable to an input terminal of an AC motor. The circuit includes at least one contactor and at least one switch to control current flow and terminal voltages in the AC motor. The system also includes a controller connected to the circuit and configured to modify a switching time of the at least one switch to create a DC component in an output of the system corresponding to an input to the AC motor and determine a stator winding resistance of the AC motor based on the injected DC component of the voltage and current.

Lu, Bin (Kenosha, WI); Habetler, Thomas G. (Snellville, GA); Zhang, Pinjia (Atlanta, GA); Theisen, Peter J. (West Bend, WI)

2011-05-31T23:59:59.000Z

90

The Effect of Clouds and Wind on the Difference in Nocturnal Cooling Rates between Urban and Rural Areas  

Science Conference Proceedings (OSTI)

The urban warming effect is interesting in its own right and is important for understanding global warming. The aim of this study is to determine how the urban warming effect changes with cloud conditions and with wind speed. Studies of the urban ...

Stanley Q. Kidder; Oskar M. Essenwanger

1995-11-01T23:59:59.000Z

91

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

92

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

93

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

94

Coastal zone wind energy. Part I. Potential wind power density fields based on 3-D model simulations of the dominant wind regimes for three east and Gulf coast areas  

DOE Green Energy (OSTI)

The results of applying a numerical model of the atmosphere to the problem of locating areas of maximum wind power are presented. Three US coastal regions, of approximately 10/sup 5/ km/sup 2/ area each, are investigated. For each region the spatial distribution of daily average power density (W m/sup -2/) for the lowest 100 m of the atmosphere is given for the three most prevalent weather regimes. These distributions are then combined to form an estimate of the annual average power density for each region. Comparisons with long-term climatological data at stations within each region show good agreement between model estimated and observed wind power density for two of the three regions studied.

Garstang, M.; Pielke, R.A.; Snow, J.W.

1980-04-01T23:59:59.000Z

95

A population study of golden eagles in the Altamont Pass Wind Resource area. Second-year progress report  

Science Conference Proceedings (OSTI)

Since January 1994, the Predatory Bird Research Group, University of California, Santa Cruz, has been conducting a field investigation of the ecology of golden eagles (Aquila chrysaetos) in the vicinity of the Altamont Pass Wind Resource Area (WRA). The 190 km{sup 2} facility lies just east of San Francisco Bay in California and contains about 6,500 wind turbines. Grassland and oak savanna habitats surrounding the WRA support a substantial resident population of golden eagles. Each year, the U.S. Fish and Wildlife Service receivers reports from the wind industry of about 30 golden eagle casualties occurring at the WRA, and it is probable that many more carcasses go unnoticed. Over 90 percent of the casualties are attributed to collisions with wind turbines. The main purpose of this study is to estimate the effect of turbine-related mortality on the golden eagle population of the area. Assessing the impact of the WRA kills on the population requires quantification of both survival and reproduction. To estimate survival rates of both territorial and non-territorial golden eagles, we tagged 179 individuals with radio-telemetry transmitters expected to function for about four years and equipped with mortality sensors. Population segments represented in the tagged sample include 79 juveniles, 45 subadults, 17n floaters (non-territorial adults), and 38 breeders. Effective sample sizes in the older segments increase as younger eagles mature or become territorial. Since the beginning of the study, we have conducted weekly roll-call surveys by airplane to locate the tagged eagles in relation to the WRA and to monitor their survival. The surveyed area extends from the Oakland Hills southeast through the Diablo Mountain Range to San Luis Reservoir about 75 km southeast of the WRA. The surveys show that breeding eagles rarely enter the WRA while the non-territorial eagles tend to move about freely throughout the study area and often visit the WRA.

NONE

1997-07-01T23:59:59.000Z

96

MARIAH-A Similarity-Based Method for Determining Wind, Temperature, and Humidity Profile Structure in the Atmospheric Surface Layer  

Science Conference Proceedings (OSTI)

Methodology for determining the similarity scaling constants for wind, temperature, and specific humidity from micrometeorological tower data is presented. The equations and the approach for solving them are referred to as MARIAH. The MARIAH ...

Henry Rachele; Arnold Tunick; Frank V. Hansen

1995-04-01T23:59:59.000Z

97

2008 Special Issue: Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and multiple FACTS devices  

Science Conference Proceedings (OSTI)

Wide-area coordinating control is becoming an important issue and a challenging problem in the power industry. This paper proposes a novel optimal wide-area coordinating neurocontrol (WACNC), based on wide-area measurements, for a power system with power ... Keywords: Adaptive critic designs, FACTS devices, Particle swarm optimization, Radial basis function network, Wide-area control, Wind power

Wei Qiao; Ganesh K. Venayagamoorthy; Ronald G. Harley

2008-03-01T23:59:59.000Z

98

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

Science Conference Proceedings (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

99

A Population Study of Golden Eagles in the Altamont Pass Wind Resource Area: Population Trend Analysis, 1994-1997  

SciTech Connect

The wind industry has annually reported 28-43 turbine blade strike casualties of golden eagles in the Altamont Pass Wind Resource Area, and many more carcasses have doubtless gone unnoticed. Because this species is especially sensitive to adult survival rate changes, we focused upon estimating the demographic trend of the population. In aerial surveys, we monitored survival within a sample of 179 radio-tagged eagles over a four-year period. We also obtained data on territory occupancy and reproduction of about 65 eagle pairs residing in the area. Of 61 recorded deaths of radio-tagged eagles during the four-year investigation, 23 (38%) were caused by wind turbine blade strikes. Additional fatalities were unrecorded because blade strikes sometimes destroy radio transmitters. Annual survival was estimated at 0.7867 (SE=0.0263) for non-territorial eagles and 0.8964 (SE=0.0371) for territorial ones. Annual reproduction was 0.64 (SE=0.08) young per territorial pair (0.25 per female). These parameters were used to estimate population growth rates under different modeling frameworks. At present, there are indications that a reserve of non-breeding adults still exists, i.e., there is an annual territorial reoccupancy rate of 100% and a low incidence (3%) of subadults as members of breeding pairs.

Predatory Bird Research Group, Long Marine Laboratory

1999-07-20T23:59:59.000Z

100

Bird Risk Behaviors and Fatalities at the Altamont Pass Wind Resource Area: Period of Performance, March 1998--December 2000  

SciTech Connect

It has been documented that wind turbine operations at the Altamont Pass Wind Resource Area kill large numbers of birds of multiple species, including raptors. We initiated a study that integrates research on bird behaviors, raptor prey availability, turbine design, inter-turbine distribution, landscape attributes, and range management practices to explain the variation in avian mortality at two levels of analysis: the turbine and the string of turbines. We found that inter-specific differences in intensities of use of airspace within close proximity did not explain the variation in mortality among species. Unique suites of attributes relate to mortality of each species, so species-specific analyses are required to understand the factors that underlie turbine-caused fatalities. We found that golden eagles are killed by turbines located in the canyons and that rock piles produced during preparation of the wind tower laydown areas related positively to eagle mortality, perhaps due to the use of these rock piles as cover by desert cottontails. Other similar relationships between fatalities and environmental factors are identified and discussed. The tasks remaining to complete the project are summarized.

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

2003-12-01T23:59:59.000Z

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.


101

Operational Impacts of Wind Energy Resources in the Bonneville Power Administration Control Area - Phase I Report  

SciTech Connect

This report presents a methodology developed to study the future impact of wind on BPA power system load following and regulation requirements. The methodology uses historical data and stochastic processes to simulate the load balancing processes in the BPA power system, by mimicking the actual power system operations. Therefore, the results are close to reality, yet the study based on this methodology is convenient to conduct. Compared with the proposed methodology, existing methodologies for doing similar analysis include dispatch model simulation and standard deviation evaluation on load and wind data. Dispatch model simulation is constrained by the design of the dispatch program, and standard deviation evaluation is artificial in separating the load following and regulation requirements, both of which usually do not reflect actual operational practice. The methodology used in this study provides not only capacity requirement information, it also analyzes the ramp rate requirements for system load following and regulation processes. The ramp rate data can be used to evaluate generator response/maneuverability requirements, which is another necessary capability of the generation fleet for the smooth integration of wind energy. The study results are presented in an innovative way such that the increased generation capacity or ramp requirements are compared for two different years, across 24 hours a day. Therefore, the impact of different levels of wind energy on generation requirements at different times can be easily visualized.

Makarov, Yuri V.; Lu, Shuai

2008-07-15T23:59:59.000Z

102

ENVIRONMENTAL LAW IN BRAZIL- ANALYSIS OF ENVIRONMENTAL LICENSING OF WIND POWER PLANTS IN PERMANENT PRESERVATION AREAS  

E-Print Network (OSTI)

The Brazilian electric energy matrix is mostly renewable. According to the Generation Information Base (BIG) of the Brazilian Electricity Regulatory Agency (ANEEL), hydroelectricity is responsible for 67.31 % of the country's energy. The additional generation comes mostly from fossil fuels, whichs use is questioned when it comes to environmental quality and climate change. Despite its abundance, hydroelectric power generation has physical, socioeconomic and environmental limitations. Thus, it is essential to develop alternative technologies, providing security in the supply of electric energy and the maintenance of a clean matrix. Among the alternative technologies available, wind power is the one that has been gaining prominence, domestically and internationally speaking. In the last auction of renewable sources held in August 2010 in Brazil, the energy produced by the plants of sugarcane bagasse (biomass) was traded at an average of R $ 144.20 MWh; wind energy, which was the cheapest, was traded at R $ 130.86, and the energy from small hydropower plants (PCH), at R $ 141.93 MWh. The wind power plants accounted for 70 % of the auction, which resulted in a plan for increasing its installed capacity by fivefold, by the year 2013. Brazil has great potential to be explored (estimated 143,000 MW), yet despite being appealing, wind energy still

Cristiano Abijaode Amaral; Adriana Coli Pedreira

2010-01-01T23:59:59.000Z

103

Development of a Three-Dimensional Meso-? Primitive Equation Model: Katabatic Winds Simulation in the Area of Terra Nova Bay, Antarctica  

Science Conference Proceedings (OSTI)

The spatial evolution of Antarctic katabatic winds in the area of Terra Nova Bay is examined using the three-dimensional version of the Universit Catholique de Louvain-Modle Atmosphrique Rgional (UCL-MAR) mesoscale primitive equation models. ...

Hubert Galle; Guy Schayes

1994-04-01T23:59:59.000Z

104

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

DOE Green Energy (OSTI)

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

105

Characteristics Study of Transmission Line Mechanical Research Center (TLMRC) Wind Tower Data: Notes on Field-Wind Loading Experiments  

Science Conference Proceedings (OSTI)

Field determination of wind loads is one of the critical areas of wind research. In the past, researchers have used different procedures to collect, reduce, and analyze wind data, making it difficult to compare results. This study focused on data acquisition and reduction techniques for field-wind experiments and their derived results. The outcome will be useful for developing a standard procedure for future field-wind loading experiments.

1992-11-01T23:59:59.000Z

106

Wind Energy Resource Assessment of the Caribbean and Central America  

DOE Green Energy (OSTI)

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

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

1987-04-01T23:59:59.000Z

107

Response of Red-Tailed Hawks and Golden Eagles to Topographical Features, Weather, and Abundance of a Dominant Prey Species at the Altamont Pass Wind Resource Area, California: April 1999-December 2000  

SciTech Connect

Studies have shown that raptors flying within the Altamont Pass WRA are vulnerable to fatal turbine collisions, possibly because of their specific foraging and flight behavior. Between June 1999 and June 2000, I conducted 346.5 hours of raptor observations within the Atlamont Pass WRA. Behavior was recorded in relation to characteristics of the topography (slope aspect, elevation, and inclination), the weather, and ground squirrel abundance, as determined by active burrow entrances. The most significant finding of this study revealed that red-tailed hawks and golden eagles flew more in strong winds than in weak winds, particularly along hillsides facing into prevailing winds (as opposed to hillsides shielded from the wind). This is likely a result of the birds' use of declivity currents for lift during flights. These results suggest that certain combinations of topography and weather produce wind currents that are sought out by foraging red-tailed hawks and golden eagles within the Altamont Pass WRA. To decrease raptor mortality, mitigation measures can be targeted to specific areas likely to attract foraging raptors because of their capacity to create particularly favorable wind currents.

Hoover, S.

2002-06-01T23:59:59.000Z

108

High Horizontal and Vertical Resolution Limited-Area Model: Near-Surface and Wind Energy Forecast Applications  

Science Conference Proceedings (OSTI)

As harvesting of wind energy grows, so does the need for improved forecasts from the surface to the top of wind turbines. To improve mesoscale forecasts of wind, temperature, and dewpoint temperature in this layer, two different approaches are ...

Natacha B. Bernier; Stphane Blair

2012-06-01T23:59:59.000Z

109

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

B1.3 Date: 12022009 Location(s): Fremont County, Wyoming Office(s): Western Area Power Administration-Rocky Mountain Region November 16, 2009 CX-000554: Categorical...

110

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

CX(s) Applied: B4.6 Date: 12132012 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region December 11, 2012 CX-009532: Categorical...

111

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

B1.16, B1.19, B1.23 Date: 10172011 Location(s): California Offices(s): Western Area Power Administration-Desert Southwest Region October 13, 2011 CX-007801: Categorical...

112

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

Site Antenna Re-alignment CX(s) Applied: B1.7 Date: 03162011 Location(s): Clark County, Nevada Office(s): Western Area Power Administration-Desert Southwest Region...

113

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

Coolidge-Oracle Pole Replacement CX(s) Applied: B4.6 Date: 11132009 Location(s): Pinal County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region...

114

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

Grande-Empire (Double Circuit Upgrade) CX(s) Applied: B4.13 Date: 09152010 Location(s): Pinal County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region...

115

Determining the Capacity Value of Wind: An Updated Survey of Methods and Implementation; Preprint  

DOE Green Energy (OSTI)

This paper summarizes state and regional studies examining the capacity value of wind energy, how different regions define and implement capacity reserve requirements, and how wind energy is defined as a capacity resource in those regions.

Milligan, M.; Porter, K.

2008-06-01T23:59:59.000Z

116

A Simple Method for Determining the Standard Deviation of Wind Direction  

Science Conference Proceedings (OSTI)

The discontinuity of the wind direction at 360 complicates automatic calculations of some atmospheric parameters. Various methods were suggested to obtain the standard deviation of the wind direction (??). They are reviewed and a simple, once ...

D. Skibin

1984-03-01T23:59:59.000Z

117

Wind resource assessment and wind energy system cost analysis: Fort Huachuca, Arizona  

DOE Green Energy (OSTI)

The objective of this joint DOE and National Renewable Energy Laboratory (NREL) Strategic Environmental Research and Development Program (SERDP) project is to determine whether wind turbines can reduce costs by providing power to US military facilities in high wind areas. In support of this objective, one year of data on the wind resources at several Fort Huachuca sites was collected. The wind resource data were analyzed and used as input to an economic study for a wind energy installation at Fort Huachuca. The results of this wind energy feasibility study are presented in the report.

Olsen, T.L. [Tim Olsen Consulting, Denver, CO (United States); McKenna, E. [National Renewable Energy Lab., Golden, CO (United States)

1997-12-01T23:59:59.000Z

118

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

February 3, 2012 CX-007818: Categorical Exclusion Determination Weld Substation Control Building Heating, Ventilation and Air Conditioning Replacement CX(s) Applied: B1.4 Date: 02...

119

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

January 7, 2011 CX-005115: Categorical Exclusion Determination Weld Substation Transformer Placement, Greeley, Weld County, Colorado CX(s) Applied: B4.6 Date: 01072011...

120

Categorical Exclusion Determinations: Western Area PowerAdministratio...  

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

2011 CX-006896: Categorical Exclusion Determination Maxwell - O'Banion Optical Ground Wire CX(s) Applied: B1.7, B4.6, B4.7, B4.11 Date: 09152011 Location(s): Sutter County,...

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

Combining Balancing Areas' Variability: Impacts on Wind Integration in the Western Interconnection  

DOE Green Energy (OSTI)

This paper investigates the potential impact of balancing area cooperation on a large-scale in the Western Electricity Coordinating Council (WECC).

Milligan, M.; Kirby, B.; Beuning, S.

2010-07-01T23:59:59.000Z

122

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

123

A Technique to Determine the Radius of Maximum Wind of a Tropical Cyclone  

Science Conference Proceedings (OSTI)

A simple technique is developed that enables the radius of maximum wind of a tropical cyclone to be estimated from satellite cloud data. It is based on the characteristic cloud and wind structure of the eyewall of a tropical cyclone, after the ...

France Lajoie; Kevin Walsh

2008-10-01T23:59:59.000Z

124

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

Science Conference Proceedings (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

125

Determination of the Power-Law Wind Profile Exponent on a Tropical Coast  

Science Conference Proceedings (OSTI)

Hourly measurements of temperature and wind speed (at 10 and 33 m) for a one-year period were made on the flat south coast of St. Croix, U.S. Virgin Islands. Values of the exponent p used in the power-law wind profile were obtained by applying ...

S. A. Hsu

1982-08-01T23:59:59.000Z

126

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

Science Conference Proceedings (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

127

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.

128

Determination of Winds from Balloon Tracking with a Doppler Weather Radar  

Science Conference Proceedings (OSTI)

Computer programs for antenna control and data processing were prepared and interfacing was fabricated to enable the Doppler radar at Norman, Oklahoma, to track a reflectorized balloon, and define winds in the layer through which the balloon ...

Dsan S. Zrni?; Dale Sirmans; Edwin Kessler

1988-06-01T23:59:59.000Z

129

A Study of Wind Stress Determination Methods from a Ship and an Offshore Tower  

Science Conference Proceedings (OSTI)

Comparisons are made between surface wind stress measurements obtained by the inertial-dissipation and direct covariance methods on a stable offshore tower and by the inertial-dissipation and bulk methods on a ship. The shipboard inertial-...

Paul A. Frederickson; Kenneth L. Davidson; James B. Edson

1997-08-01T23:59:59.000Z

130

Wind Resource Maps (Postcard)  

DOE Green Energy (OSTI)

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

Not Available

2011-07-01T23:59:59.000Z

131

An area-dependent wind function for estimating open water evaporation using land-based meteorological data  

Science Conference Proceedings (OSTI)

We propose a generally applicable formula for estimating evaporation rate from open water bodies which utilizes readily available land-based meteorological data. We follow the well-known aerodynamic approach in which evaporation rate is modelled as the ... Keywords: Evaporation, Lake, Open water, Pond, Uncertainty, Water body, Wind function, Wind speed

D. L. McJannet; I. T. Webster; F. J. Cook

2012-05-01T23:59:59.000Z

132

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.

133

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

134

Turbulence Anisotropy Determined by Wind Profiler Radar and Its Correlation with Rain Events in Montreal, Canada  

Science Conference Proceedings (OSTI)

Turbulence inhomogeneities at 3-m scales can be either isotropic or anisotropic, and the degree of anisotropy can be measured with VHF wind profiler radars. Studies over a period of two years in Montreal, Quebec, Canada, have shown that for this ...

Anna Hocking; Wayne K. Hocking

2007-01-01T23:59:59.000Z

135

Identification of Critical Voltage Control Areas and Determination of Required Reactive Power Reserves  

Science Conference Proceedings (OSTI)

The objective of this research project is to investigate and devise a methodology for identifying areas in power systems that are prone to voltage instability under particular operating conditions and contingencies. These areas, which are prone to instability due to their lack of reactive power reserves, are referred to as critical voltage control areas (VCAs). Once VCAs are identified, methods of determining their adequate reactive power reserve requirements to ensure secure system operation under all c...

2008-12-09T23:59:59.000Z

136

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.

137

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

138

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

139

Wind Energy Resource Atlas of the Philippines  

DOE Green Energy (OSTI)

This report contains the results of a wind resource analysis and mapping study for the Philippine archipelago. The study's objective was to identify potential wind resource areas and quantify the value of those resources within those areas. The wind resource maps and other wind resource characteristic information will be used to identify prospective areas for wind-energy applications.

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

2001-03-06T23:59:59.000Z

140

Semi-annual report of the Wind Characteristics Program Element for the period July 1977 through December 1977  

DOE Green Energy (OSTI)

Within the Federal Wind Energy Program, the Wind Characteristics Program Element (WCPE) is a service element established to provide the appropriate wind characteristics information to those involved in energy program planning, design and evaluation of wind energy conversion systems (WECS), selection of sites for the installation of WECS, and the operation of WECS. The program contributions are to consist of reliable estimates of wind characteristics pertinent to WECS design, effective analyses and methods for the determination of wind energy potential over large areas, dependable and cost-effective methodologies for the siting of WECS, and descriptions of the day-to-day variability and predictability of wind energy for WECS operations. To accomplish these goals, the WCPE has been divided into four technical program areas: wind characteristics for design and performance evaluation; mesoscale wind characteristics; development of siting methodologies; and wind characteristics for WECS operations.

Elderkin, C.E.; Wendell, L.L.

1978-01-01T23:59:59.000Z

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  

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

142

Simulations of the Climatological Wind Field in the Baltic Sea Area Using a Mesoscale Higher-Order Closure Model  

Science Conference Proceedings (OSTI)

A three-dimensional mesoscale numerical model is utilized to investigate the climatological wind field over the Baltic Sea. To cover all synoptic and boundary layer conditions, a large number of model runs have to be made. Since this type of ...

Stefan Sandstrm

1997-11-01T23:59:59.000Z

143

A Preliminary Survey of C-Band RFI in the SMEX04 Area of Operations using WindSat Radiometry  

E-Print Network (OSTI)

spacing is set equal to four times the mean spacing of the swath data obtained from WindSat. This grid. of Electrical & Computer Engineering, 340 Whittemore Hall, Virginia Polytechnic Institute & State University distribution can be obtained from an analysis of radiometry from exisiting systems in Earth orbit, as described

Ellingson, Steven W.

144

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

145

Remote Determination of Winds, Turbulence Spectra and Energy Dissipation Rates in the Boundary Layer from Lidar Measurements  

Science Conference Proceedings (OSTI)

Procedures are described for the analysis of lidar data to remotely measure 1) spectra of aerosol density fluctuations, 2) radial and transverse components of the mean wind and turbulent fluctuations of the transverse component of the wind ...

K. E. Kunkel; E. W. Eloranta; J. A. Weinman

1980-05-01T23:59:59.000Z

146

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

147

Wind Power Career Chat  

DOE Green Energy (OSTI)

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

Not Available

2011-01-01T23:59:59.000Z

148

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

DOE Green Energy (OSTI)

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

149

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

150

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

151

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

152

Electric utility value determination for wind energy. Volume II. A user's guide. [WTP code; WEIBUL code; ROSEN code; ULMOD code; FINAM code  

DOE Green Energy (OSTI)

This report describes a method for determining the value of wind energy systems to electric utilities. It is performed by a package of computer models available from SERI that can be used with most utility planning models. The final output of these models gives a financial value ($/kW) of the wind energy system under consideration in the specific utility system. This volume, the second of two volumes, is a user's guide for the computer programs available from SERI. The first volume describes the value determination methodology and gives detailed discussion on each step of the computer modeling.

Percival, D.; Harper, J.

1981-02-01T23:59:59.000Z

153

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

154

Demonstration of wind turbine. Final technical report at grant program  

Science Conference Proceedings (OSTI)

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

155

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

156

Searchlight Wind Energy Project FEIS Appendix E  

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

June 2, 2009 District Las Vegas Field Office Resource Area Activity (program) Proposed Wind Generation SECTION A. PROJECT INFORMATION 1. Project Name Searchlight Wind Project 4....

157

Wind Fins: Novel Lower-Cost Wind Power System  

DOE Green Energy (OSTI)

This project evaluated the technical feasibility of converting energy from the wind with a novel wind fin approach. This patent-pending technology has three major components: (1) a mast, (2) a vertical, hinged wind structure or fin, and (3) a power takeoff system. The wing structure responds to the wind with an oscillating motion, generating power. The overall project goal was to determine the basic technical feasibility of the wind fin technology. Specific objectives were the following: (1) to determine the wind energy-conversion performance of the wind fin and the degree to which its performance could be enhanced through basic design improvements; (2) to determine how best to design the wind fin system to survive extreme winds; (3) to determine the cost-effectiveness of the best wind fin designs compared to state-of-the-art wind turbines; and (4) to develop conclusions about the overall technical feasibility of the wind fin system. Project work involved extensive computer modeling, wind-tunnel testing with small models, and testing of bench-scale models in a wind tunnel and outdoors in the wind. This project determined that the wind fin approach is technically feasible and likely to be commercially viable. Project results suggest that this new technology has the potential to harvest wind energy at approximately half the system cost of wind turbines in the 10kW range. Overall, the project demonstrated that the wind fin technology has the potential to increase the economic viability of small wind-power generation. In addition, it has the potential to eliminate lethality to birds and bats, overcome public objections to the aesthetics of wind-power machines, and significantly expand wind-powers contribution to the national energy supply.

David C. Morris; Dr. Will D. Swearingen

2007-10-08T23:59:59.000Z

158

Validation of HRDI MLT winds with meteor radars  

Science Conference Proceedings (OSTI)

applied to determine whether the wind speed has been overestimated by HRDI ... wind vector components as well as wind speeds, and two nonparametric tests...

159

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

160

Standard Test Method for Gravimetric Determination of Nonvolatile Residue (NVR) in Environmentally Controlled Areas for Spacecraft  

E-Print Network (OSTI)

1.1 This test method covers the determination of nonvolatile residue (NVR) fallout in environmentally controlled areas used for the assembly, testing, and processing of spacecraft. 1.2 The NVR of interest is that which is deposited on sampling plate surfaces at room temperature: it is left to the user to infer the relationship between the NVR found on the sampling plate surface and that found on any other surfaces. 1.3 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use. 1.4 The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard.

American Society for Testing and Materials. Philadelphia

2008-01-01T23:59:59.000Z

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.


161

Application of a Dynamic Fuzzy Search Algorithm to Determine Optimal Wind Plant Sizes and Locations in Iowa  

DOE Green Energy (OSTI)

This paper illustrates a method for choosing the optimal mix of wind capacity at several geographically dispersed locations. The method is based on a dynamic fuzzy search algorithm that can be applied to different optimization targets. We illustrate the method using two objective functions for the optimization: maximum economic benefit and maximum reliability. We also illustrate the sensitivity of the fuzzy economic benefit solutions to small perturbations of the capacity selections at each wind site. We find that small changes in site capacity and/or location have small effects on the economic benefit provided by wind power plants. We use electric load and generator data from Iowa, along with high-quality wind-speed data collected by the Iowa Wind Energy Institute.

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

2001-09-21T23:59:59.000Z

162

Wind energy applications guide  

DOE Green Energy (OSTI)

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

anon.

2001-01-01T23:59:59.000Z

163

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

Science Conference Proceedings (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

164

Variability of wind power near Oklahoma City and implications for siting of wind turbines  

SciTech Connect

Data from five sites near Oklahoma City were examined to assess wind power availability. Wind turbines of identical manufacture were operated at three of the sites, one of which was also equipped with anemometers on a 100-ft tower. Comprehensive anemometric data were available from the other two sites. The study indicates that the average wind speed varies substantially over Oklahoma's rolling plains, which have often been nominally regarded as flat for purposes of wind power generation. Average wind differences may be as much as 5 mph at 20 ft above ground level, and 7 mph at 100 ft above ground level for elevation differences of about 200 ft above mean sea level, even in the absence of substantial features of local terrain. Local altitude above mean sea level seems to be as influential as the shape of local terrain in determining the average wind speed. The wind turbine used at a meteorologically instrumented site in the study produced the power expected from it for the wind regime in which it was situated. The observed variations of local wind imply variations in annual kWh of as much as a factor of four between identical turbines located at similar heights above ground level in shallow valleys and on hilltops or elevated extended flat areas. 17 refs., 39 figs., 11 tabs.

Kessler, E.; Eyster, R.

1987-09-01T23:59:59.000Z

165

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

166

Wind Energy Resource Atlas of Armenia  

DOE Green Energy (OSTI)

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

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

2003-07-01T23:59:59.000Z

167

Wind Energy Resource Atlas of Oaxaca  

DOE Green Energy (OSTI)

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

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

2003-08-01T23:59:59.000Z

168

Remote sensing for wind power potential: a prospector's handbook  

DOE Green Energy (OSTI)

Remote sensing can aid in identifying and locating indicators of wind power potential from the terrestrial, marine, and atmospheric environments (i.e.: wind-deformed trees, white caps, and areas of thermal flux). It is not considered as a tool for determining wind power potential. A wide variety of remotely sensed evidence is described in terms of the scale at which evidence of wind power can be identified, and the appropriate remote sensors for finding such evidence. Remote sensing can be used for regional area prospecting using small-scale imagery. The information from such small-scale imagery is most often qualitative, and if it is transitory, examination of a number of images to verify presistence of the feature may be required. However, this evidence will allow rapid screening of a large area. Medium-scale imagery provides a better picture of the evidence obtained from small-scale imagery. At this level it is best to use existing imagery. Criteria relating to land use, accessibility, and proximity of candidate sites to nearby transmission lines can also be effectively evaluated from medium-scale imagery. Large-scale imagery provides the most quantitative evidence of the strength of wind. Wind-deformed trees can be identified at a large number of sites using only a few hours in locally chartered aircraft. A handheld 35mm camera can adequately document any evidence of wind. Three case studies that employ remote sensing prospecting techniques are described. Based on remotely sensed evidence, the wind power potential in three geographically and climatically diverse areas of the United States is estimated, and the estimates are compared to actual wind data in those regions. In addition, the cost of each survey is discussed. The results indicate that remote sensing for wind power potential is a quick, cost effective, and fairly reliable method for screening large areas for wind power potential.

Wade, J.E.; Maule, P.A.; Bodvarsson, G.; Rosenfeld, C.L.; Woolley, S.G.; McClenahan, M.R.

1983-02-01T23:59:59.000Z

169

Philippines Wind Energy Resource Atlas Development  

DOE Green Energy (OSTI)

This paper describes the creation of a comprehensive wind energy resource atlas for the Philippines. The atlas was created to facilitate the rapid identification of good wind resource areas and understanding of the salient wind characteristics. Detailed wind resource maps were generated for the entire country using an advanced wind mapping technique and innovative assessment methods recently developed at the National Renewable Energy Laboratory.

Elliott, D.

2000-11-29T23:59:59.000Z

170

Volcanic Ash Transport from Mount Asama to the Tokyo Metropolitan Area Influenced by Large-Scale Local Wind Circulation  

Science Conference Proceedings (OSTI)

The eruption of the Mount Asama volcano on 16 September 2004 produced an ash cloud and led to ashfall in the Tokyo metropolitan area that lies on the Kanto Plain. Satellite images showed the ash cloud drifting toward the south in the morning but ...

Nobumitsu Tsunematsu; Tomohiro Nagai; Toshiyuki Murayama; Ahoro Adachi; Yasuhiro Murayama

2008-04-01T23:59:59.000Z

171

Wind energy and power system interconnection, control, and operation for high penetration of wind power .  

E-Print Network (OSTI)

??High penetration of wind energy requires innovations in different areas of power engineering. Methods for improving wind energy and power system interconnection, control, and operation (more)

Liang, Jiaqi

2012-01-01T23:59:59.000Z

172

Impact of ASCAT Scatterometer Wind Observations on the High-Resolution Limited-Area Model (HIRLAM) within an Operational Context  

Science Conference Proceedings (OSTI)

Denial experiments, also denoted observing system experiments (OSEs), are used to determine the impact of an observing system on the forecast quality of a numerical weather prediction (NWP) model. When the impact is neutral or positive, new ...

Siebren de Haan; Gert-Jan Marseille; Paul de Valk; John de Vries

2013-04-01T23:59:59.000Z

173

The Determination of Surface-Layer Stability and Eddy Fluxes Using Wind Speed and Vertical Temperature Gradient Measurements  

Science Conference Proceedings (OSTI)

Analytical relations are developed that relate the Monin-Obukhov parameter to a modified bulk Richardson number expressed in terms of measured wind speed and vertical temperature difference. Measured Monin-Obukhov parameters and Richardson ...

I. T. Wang

1981-10-01T23:59:59.000Z

174

Extreme Winds and Wind Effects on Structures  

Science Conference Proceedings (OSTI)

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

2013-01-17T23:59:59.000Z

175

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

176

Determining optimum dose--time--area relationships in curative radiotherapy of cancer. A review and evaluation  

SciTech Connect

The old and vital problem of optimum dosage determination in radiotherapy of cancer is reviewed in chronological order from empirical to mathematical concepts. The magnitude of the problem is explained. Doubt is expressed whether a mathematical formula will ever be found that could safely predict an optimum dose-timearea relationship and that could be applied with impunity to the particular patient, without fear of radiation damage to the normal tissues involved. The use of Strandqvist mathematical formula and iso- effect curves and dose-time-area tables representing normal tissue tolerance effects for orthovoltage and telecobalt therapy was evaluated based on experience with patients treated over the past decades. These tables are used as a guide in planning a treatment schedule for a particular patient, but optimum treatment is determined on clinical grounds, on the reactions of the normal tissues, the response of the tumor, and the condition of the patient, and treatment is stopped when the normal tissues have reached tolerance, irrespective of whether the treatment schedule has been completed or not. (auth)

Fichardt, T.

1973-06-23T23:59:59.000Z

177

Average Diurnal Behavior of Surface Winds during Summer at Sites in Complex Terrain  

Science Conference Proceedings (OSTI)

Mean diurnal wind distributions from five surface stations in the rugged Geysers area of northern California were examined to determine how they were affected by the terrain. The one dimensional slope-flow model of Garrett was able to simulate ...

Alfred J. Garrett; Frank G. Smith III

1985-02-01T23:59:59.000Z

178

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,

179

NANA Wind Resource Assessment Program Final Report  

DOE Green Energy (OSTI)

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

180

Optimal wind patterns for biological production in shelf ecosystems driven by coastal upwelling  

E-Print Network (OSTI)

The phytoplankton bloom response to wind events and upwelled0053-5 ORIGINAL PAPER Optimal wind patterns for biologicalto their area. Upwelling winds have the counter- acting

Yokomizo, Hiroyuki; Botsford, Louis W.; Holland, Matthew D.; Lawrence, Cathryn A.; Hastings, Alan

2010-01-01T23:59:59.000Z

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.


181

Wind/Water Nexus  

DOE Green Energy (OSTI)

Nobel laureate Richard Smalley cited energy and water as among humanity's top problems for the next 50 years as the world's population increases from 6.3 billion to 9 billion. The U.S. Department of Energy's Wind and Hydropower Program has initiated an effort to explore wind energy's role as a technical solution to this critically important issue in the United States and the world. This four-page fact sheet outlines five areas in which wind energy can contribute: thermoelectric power plant/water processes, irrigation, municipal water supply, desalination, and wind/hydropower integration.

Not Available

2006-04-01T23:59:59.000Z

182

Impact of Electric Industry Structure on High Wind Penetration Potential  

DOE Green Energy (OSTI)

This paper attempts to evaluate which balancing area (BA) characteristics best accommodate wind energy.

Milligan, M.; Kirby, B.; Gramlich, R.; Goggin, M.

2009-07-01T23:59:59.000Z

183

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

that regions peak electricity demand) was frequently usedsome areas; modest electricity demand growth; existing stateto 20% of the nations electricity demand coming from wind

Bolinger, Mark

2013-01-01T23:59:59.000Z

184

EERE: Wind  

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

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

185

WIND ENERGY Wind Energ. (2012)  

E-Print Network (OSTI)

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

Haak, Hein

186

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

Science Conference Proceedings (OSTI)

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

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

2013-05-01T23:59:59.000Z

187

Application of wind power systems to the Service Area of the Minnesota Power and Light Company. Final report, July 1975--August 1976  

DOE Green Energy (OSTI)

Honeywell, in a joint effort with Minnesota Power and Light Company (MP and L), Boeing Vertol Company, and Dr. C.G. Justus, Georgia Institute of Technology, has conducted a regional application study of wind energy systems. Minnesota Power and Light Company, an investor-owned company with 853-MW owned capacity, has served as the case study subject utility. An initial system definition was developed based on available wind information and near-term wind turbine generator (WTG) technology. The system was tailored to fit MP and L's forecasted generation needs and the company's existing transmission and distribution system. Honeywell developed a WECS simulation to convert wind data to wind energy available for input to the utility's grid. The simulation was used to evaluate the performance of preliminary design wind turbine generators developed for ERDA/NASA by the General Electric Company and Kaman Aerospace Corporation, and to evaluate the performance of a wind turbine optimized for the Northern Minnesota wind regime and developed by the Boeing Vertol Company under subcontract to Honeywell.

Lindquist, O.H.; Malver, F.S.

1976-01-01T23:59:59.000Z

188

The Role of Eddies in Determining the Structure and Response of the Wind-Driven Southern Hemisphere Overturning: Results from the Modeling Eddies in the Southern Ocean (MESO) Project  

Science Conference Proceedings (OSTI)

The Modeling Eddies in the Southern Ocean (MESO) project uses numerical sensitivity studies to examine the role played by Southern Ocean winds and eddies in determining the density structure of the global ocean and the magnitude and structure of ...

Robert Hallberg; Anand Gnanadesikan

2006-12-01T23:59:59.000Z

189

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

190

A Dynamic Wind Turbine Simulator of the Wind Turbine Generator System  

Science Conference Proceedings (OSTI)

To study dynamic performances of wind turbine generator system (WTGS), and to determine the control structures in laboratory. The dynamic torque generated by wind turbine (WT) must be simulated. In there paper, a dynamic wind turbine emulator (WTE) is ... Keywords: dynamic wind turbine emulation, wind shear, tower shadow, torque compensation

Lei Lu; Zhen Xie; Xing Zhang; Shuying Yang; Renxian Cao

2012-01-01T23:59:59.000Z

191

Wind Turbines Electrical and Mechanical Engineering  

E-Print Network (OSTI)

Wind Turbines Electrical and Mechanical Engineering Objective · Introduce students to the concept of alternative energy. · Explain the math and scientific principles behind engineering wind turbines. Standards and how it applies to wind energy · About how surface area and shape effects wind turbine efficiency

Provancher, William

192

Use of Enhanced IR/Visible Satellite Imagery to Determine Heavy Snow Areas  

Science Conference Proceedings (OSTI)

Interpretation techniques are established which relate heavy snow (100 mm or more in a 12 h period) areas to real-time infrared and visible geostationary satellite imagery. An initial collection of cases totaled about 75 during the period from ...

Samuel K. Beckman

1987-09-01T23:59:59.000Z

193

Use of Mass- and Area-Dimensional Power Laws for Determining Precipitation Particle Terminal Velocities  

Science Conference Proceedings (OSTI)

Based on boundary layer theory and a comparison of empirical power laws relating the Reynolds and Best numbers, it was apparent that the primary variables governing a hydrometeor's terminal velocity were its mass, its area projected to the flow, ...

David L. Mitchell

1996-06-01T23:59:59.000Z

194

Identification of Critical Voltage Control Areas and Determination of Required Reactive Power Reserves  

Science Conference Proceedings (OSTI)

This Technical Update reports on the development of a highly automated method for identifying Voltage Control Areas (VCAs), areas prone to voltage instability in practical power system models. For a wide range of system conditions and contingencies, the technique can identify the buses in each VCA and identify VCAs that are common for a set of contingencies and/or conditions. In addition, the method identifies the generators that are critical to maintaining stability for a given VCA. The methods develope...

2007-09-24T23:59:59.000Z

195

NREL: Wind Research - News Release Archives  

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

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 the National...

196

Wind-driven sediment suspension controls light availability in a ...  

Science Conference Proceedings (OSTI)

Waves and currents in Hog Island Bay responded strongly to wind forcing, with bottom stresses from wind driven waves dominant for 60% of the modeled area...

197

UMore Park Wind Turbine Project Loggerhead Shrike Survey, DOE...  

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

UMore Park Wind Turbine Project Loggerhead Shrike Survey, DOEEA-1791 (June 2010) UMore Park Wind Turbine Project Loggerhead Shrike Survey, DOEEA-1791 (June 2010) The project area...

198

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

199

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

200

Numerical simulation to determine the effects of incident wind shear and turbulence level on the flow around a building  

Science Conference Proceedings (OSTI)

The effects of incident shear and turbulence on flow around a cubical building are being investigated by a turbulent kinetic energy/dissipation model (TEMPEST). The numerical simulations demonstrate significant effects due to the differences in the incident flow. The addition of upstream turbulence and shear results in a reduced size of the cavity directly behind the building. The accuracy of numerical simulations is verified by comparing the predicted mean flow fields with the available wind-tunnel measurements of Castro and Robins (1977). Comparing the authors' results with experimental data, the authors show that the TEMPEST model can reasonably simulate the mean flow.

Zhang, Y.Q.; Huber, A.H.; Arya, S.P.S.; Snyder, W.H.

1992-01-01T23:59:59.000Z

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.


201

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

202

Circulation within the Ocean Storms Area Located in the Northeast Pacific Ocean Determined by Inverse Methods  

Science Conference Proceedings (OSTI)

An inverse model was applied to hydrographic data obtained from a cruise in the autumn of 1987 in a small area (300 250 km) in the northeast Pacific Ocean. The inverse model used geostrophy and a linear ?-plane vorticity equation as dynamical ...

R. J. Matear

1993-04-01T23:59:59.000Z

203

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,

204

Wind Energy Resource Atlas of Armenia (CD-ROM)  

DOE Green Energy (OSTI)

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

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

2003-07-01T23:59:59.000Z

205

Wind Energy Resource Atlas of Sri Lanka and the Maldives  

DOE Green Energy (OSTI)

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

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

2003-08-01T23:59:59.000Z

206

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

DOE Green Energy (OSTI)

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

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

2004-04-01T23:59:59.000Z

207

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.

208

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.

2011-01-01T23:59:59.000Z

209

Wind Powering America Initiative (Fact Sheet)  

DOE Green Energy (OSTI)

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

210

Cost of Offshore Wind Energy Charlene Nalubega  

E-Print Network (OSTI)

Cost of Offshore Wind Energy water as well as on land based wind farms. The specific offshore wind energy case under consideration kilowatt Hour will be determined. Wind Energy has been around for a very long time. It started as out

Mountziaris, T. J.

211

Mexico Wind Resource Assessment Project  

Science Conference Proceedings (OSTI)

A preliminary wind energy resource assessment of Mexico that produced wind resource maps for both utility-scale and rural applications was undertaken as part of the Mexico-U.S. Renewable Energy Cooperation Program. This activity has provided valuable information needed to facilitate the commercialization of small wind turbines and windfarms in Mexico and to lay the groundwork for subsequent wind resource activities. A surface meteorological data set of hourly data in digital form was utilized to prepare a more detailed and accurate wind resource assessment of Mexico than otherwise would have been possible. Software was developed to perform the first ever detailed analysis of the wind characteristics data for over 150 stations in Mexico. The hourly data set was augmented with information from weather balloons (upper-air data), ship wind data from coastal areas, and summarized wind data from sources in Mexico. The various data were carefully evaluated for their usefulness in preparing the wind resource assessment. The preliminary assessment has identified many areas of good-to-excellent wind resource potential and shows that the wind resource in Mexico is considerably greater than shown in previous surveys.

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

1995-05-01T23:59:59.000Z

212

MSU-Wind Applications Center: Wind Resource Worksheet Theoretical Power Calculation  

E-Print Network (OSTI)

MSU-Wind Applications Center: Wind Resource Worksheet Theoretical Power Calculation Equations: A= swept area = air density v= velocity R= universal gas constant Steps: 1. Measure wind speed from fan. = ___________/(________*________)= _________kg/m3 5. Theoretical Power a. Low Setting Theoretical Wind Power i. Power= ½*______*______*______*.59

Dyer, Bill

213

Ashe County- Wind Energy System Ordinance  

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

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...

214

Wind Power Finance and Investment Workshop 2004  

Science Conference Proceedings (OSTI)

The workshop had 33 presentations by the leading industry experts in the wind finance and investment area. The workshop presented wind industry opportunities and advice to the financial community. The program also included two concurrent sessions, Wind 100, which offered wind energy novices a comprehensive introduction to wind energy fundamentals, and Transmission Policy and Regulations. Other workshop topics included: Bringing environmental and other issues into perspective; Policy impacts on wind financing; Technical/wind issues; Monetizing green attributes (Sale of green tags); Contractual issues; Debt issues; and Equity issues. There were approximately 230 attendees.

anon.

2004-11-01T23:59:59.000Z

215

Long-Term Wind Power Variability  

DOE Green Energy (OSTI)

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

Wan, Y. H.

2012-01-01T23:59:59.000Z

216

Applied wind energy research at the National Wind Technology Center  

DOE Green Energy (OSTI)

Applied research activities at the National Wind Technology Center are divided into several technical disciplines. Not surprisingly, these engineering and science disciplines highlight the technology similarities between aircraft and wind turbine design requirements. More often than not, wind turbines are assumed to be a subset of the much larger and more comprehensive list of well understood aerospace engineering accomplishments and it is difficult for the general public to understand the poor performance history of wind turbines in sustained operation. Often overlooked are the severe environmental conditions and operational demands placed on turbine designs which define unique requirements beyond typical aerospace applications. It is the role of the National Wind Technology Center to investigate and quantify the underlying physical phenomena which make the wind turbine design problem unique and to provide the technology advancements necessary to overcome current operational limitations. This paper provides a brief overview of research areas involved with the design of wind turbines.

Robinson, M C; Tu, P

1996-06-01T23:59:59.000Z

217

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.

218

EIA: Wind  

U.S. Energy Information Administration (EIA)

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

219

Wind-To-Hydrogen Energy Pilot Project  

DOE Green Energy (OSTI)

WIND-TO-HYDROGEN ENERGY PILOT PROJECT: BASIN ELECTRIC POWER COOPERATIVE In an effort to address the hurdles of wind-generated electricity (specifically wind's intermittency and transmission capacity limitations) and support development of electrolysis technology, Basin Electric Power Cooperative (BEPC) conducted a research project involving a wind-to-hydrogen system. Through this effort, BEPC, with the support of the Energy & Environmental Research Center at the University of North Dakota, evaluated the feasibility of dynamically scheduling wind energy to power an electrolysis-based hydrogen production system. The goal of this project was to research the application of hydrogen production from wind energy, allowing for continued wind energy development in remote wind-rich areas and mitigating the necessity for electrical transmission expansion. Prior to expending significant funding on equipment and site development, a feasibility study was performed. The primary objective of the feasibility study was to provide BEPC and The U.S. Department of Energy (DOE) with sufficient information to make a determination whether or not to proceed with Phase II of the project, which was equipment procurement, installation, and operation. Four modes of operation were considered in the feasibility report to evaluate technical and economic merits. Mode 1 - scaled wind, Mode 2 - scaled wind with off-peak, Mode 3 - full wind, and Mode 4 - full wind with off-peak In summary, the feasibility report, completed on August 11, 2005, found that the proposed hydrogen production system would produce between 8000 and 20,000 kg of hydrogen annually depending on the mode of operation. This estimate was based on actual wind energy production from one of the North Dakota (ND) wind farms of which BEPC is the electrical off-taker. The cost of the hydrogen produced ranged from $20 to $10 per kg (depending on the mode of operation). The economic sensitivity analysis performed as part of the feasibility study showed that several factors can greatly affect, both positively and negatively, the "per kg" cost of hydrogen. After a September 15, 2005, meeting to evaluate the advisability of funding Phase II of the project DOE concurred with BEPC that Phase I results did warrant a "go" recommendation to proceed with Phase II activities. The hydrogen production system was built by Hydrogenics and consisted of several main components: hydrogen production system, gas control panel, hydrogen storage assembly and hydrogen-fueling dispenser The hydrogen production system utilizes a bipolar alkaline electrolyzer nominally capable of producing 30 Nm3/h (2.7 kg/h). The hydrogen is compressed to 6000 psi and delivered to an on-site three-bank cascading storage assembly with 80 kg of storage capacity. Vehicle fueling is made possible through a Hydrogenics-provided gas control panel and dispenser able to fuel vehicles to 5000 psi. A key component of this project was the development of a dynamic scheduling system to control the wind energy's variable output to the electrolyzer cell stacks. The dynamic scheduling system received an output signal from the wind farm, processed this signal based on the operational mode, and dispatched the appropriate signal to the electrolyzer cell stacks. For the study BEPC chose to utilize output from the Wilton wind farm located in central ND. Site design was performed from May 2006 through August 2006. Site construction activities were from August to November 2006 which involved earthwork, infrastructure installation, and concrete slab construction. From April - October 2007, the system components were installed and connected. Beginning in November 2007, the system was operated in a start-up/shakedown mode. Because of numerous issues, the start-up/shakedown period essentially lasted until the end of January 2008, at which time a site acceptance test was performed. Official system operation began on February 14, 2008, and continued through the end of December 2008. Several issues continued to prevent consistent operation, resulting in operation o

Ron Rebenitsch; Randall Bush; Allen Boushee; Brad G. Stevens; Kirk D. Williams; Jeremy Woeste; Ronda Peters; Keith Bennett

2009-04-24T23:59:59.000Z

220

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

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

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

222

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,

223

Non-Economic Determinants of Energy Use in Rural Areas of South Africa  

SciTech Connect

This project will begin to determine the forces and dimensions in rural energy-use patterns and begin to address policy and implementation needs for the future. This entails: Forecasting the social and economic benefits that electrification is assumed to deliver regarding education and women's lives; Assessing negative perceptions of users, which have been established through the slow uptake of electricity; Making recommendations as to how these perceptions could be addressed in policy development and in the continuing electrification program; Making recommendations to policy makers on how to support and make optimal use of current energy-use practices where these are socio-economically sound; Identifying misinformation and wasteful practices; and Other recommendations, which will significantly improve the success of the rural electrification program in a socio-economically sound manner, as identified in the course of the work.

Annecke, W. (Energy and Development Research Center, University of Cape Town, South Africa)

1999-03-29T23:59:59.000Z

224

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).

225

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

226

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

227

United States areal wind resource assessment  

SciTech Connect

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

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

1993-03-01T23:59:59.000Z

228

United States areal wind resource assessment  

SciTech Connect

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

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

1993-03-01T23:59:59.000Z

229

Proceedings: Workshop on prospects and requirements for geographic expansion of wind power usage  

SciTech Connect

This report constitutes the proceedings of a workshop on the Prospects and Requirements for Geographic Expansion of Wind Power Usage held March 5-6, 1986, in Dallas, Texas. The workshop was sponsored by the Electric Power Research Institute (EPRI) in cooperation with the Solar Energy Research Institute (SERI). SERI is operated by Midwest Research Institute for the US Department of Energy. The workshop participants concluded that there are a number of areas in the United States with substantial wind resources. Determining the potential for development of these resources for wind power will require local, detailed wind measurements. The participants saw no technology barriers to more widespread usage of wind power. They considered the greatest potential for advancement of wind power technology to be in the application of power electronics to enable variable speed wind turbine operation and to integrate and improve wind power station control and protection. Although wind power stations were seen as posing no health hazards, public and utility acceptance of the technology, the participants agreed, will require strong educational activities in all aspects of wind power. The implications of these conclusions for the research programs of EPRI and other sectors are discussed.

Steitz, P.

1986-11-01T23:59:59.000Z

230

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.

2011-10-01T23:59:59.000Z

231

Offshore Wind Research (Fact Sheet)  

DOE Green Energy (OSTI)

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

232

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)

233

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.

234

Effects of Precipitation on UHF Wind Profiler Measurements  

Science Conference Proceedings (OSTI)

Horizontal winds in the presence of precipitation were measured routinely with a UHF (405 MHz) Wind Profiler. The profiler had five beam-pointing positions so independent measurements of horizontal winds could be compared to determine relative ...

D. B. Wuertz; B. L. Weber; R. G. Strauch; A. S. Frisch; C. G. Little; D. A. Merritt; K. P. Moran; D. C. Welsh

1988-06-01T23:59:59.000Z

235

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

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

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

236

Energy Basics: Wind Turbines  

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

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

237

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

238

Estimation of wind characteristics at potential wind energy conversion sites  

DOE Green Energy (OSTI)

A practical method has been developed and applied to the problem of determining wind characteristics at candidate wind energy conversion sites where there are no available historical data. The method uses a mass consistent wind flow model (called COMPLEX) to interpolate between stations where wind data are available. The COMPLEX model incorporates the effects of terrain features and airflow. The key to the practical application of COMPLEX to the derivation of wind statistics is the model's linearity. This allows the input data sets to be resolved into orthogonal components along the set of eigenvectors of the covariance matrix. The solution for each eigenvector is determined with COMPLEX; the hourly interpolated winds are then formed from linear combinations of these solutions. The procedure requires: acquisition and merger of wind data from three to five stations, application of COMPLEX to each of the seven to 11 (depending on the number of stations for which wind data are available) eigenvectors, reconstruction of the hourly interpolated winds at the site from the eigenvector solutions, and finally, estimating the wind characteristics from the simulated hourly values. The report describes the methodology and the underlying theory. Possible improvements to the procedure are also discussed.

Not Available

1979-10-01T23:59:59.000Z

239

Estimation of wind characteristics at potential wind energy conversion sites  

SciTech Connect

A practical method has been developed and applied to the problem of determining wind characteristics at candidate wind energy conversion sites where there are no available historical data. The method uses a mass consistent wind flow model (called COMPLEX) to interpolate between stations where wind data are available. The COMPLEX model incorporates the effects of terrain features and airflow. The key to the practical application of COMPLEX to the derivation of wind statistics is the model's linearity. This allows the input data sets to be resolved into orthogonal components along the set of eigenvectors of the covariance matrix. The solution for each eigenvector is determined with COMPLEX; the hourly interpolated winds are then formed from linear combinations of these solutions. The procedure requires: acquisition and merger of wind data from three to five stations, application of COMPLEX to each of the seven to 11 (depending on the number of stations for which wind data are available) eigenvectors, reconstruction of the hourly interpolated winds at the site from the eigenvector solutions, and finally, estimating the wind characteristics from the simulated hourly values. The report describes the methodology and the underlying theory. Possible improvements to the procedure are also discussed.

1979-10-01T23:59:59.000Z

240

Abundance and Charge State of Implanted Solar Wind Transition Metals in Individual Apollo 16 and 17 Lunar Soil Plagioclase Grains Determined In Situ Using Synchrotron X-ray Fluorescence  

SciTech Connect

We report (1) a new method for determining the relative abundances in situ of Cr, Mn, Fe and Ni in implanted solar wind in individual Apollo 16 and 17 lunar plagioclases via synchrotron X-ray fluorescence and (2) the charge states of these metals. By virture of its mass alone, the Sun provides a representative composition of the solar system and can be used as a background against which to gauge excesses or deficiencies of specific components. One way of sampling the Sun is by measuring solar wind implanted ions in lunar soil grains. Such measurements are valuable because of their long exposure ages which compliment shorter time scale collections, such as those obtained by the Genesis spacecraft. Kitts et al. sought to determine the isotopic composition of solar Cr by analyzing the solar wind implanted into plagioclase grains from Apollo 16 lunar soils. The isotopic composition of the solar wind bearing fraction was anomalous and did not match any other known Cr isotopic signature. This could only be explained by either (1) an enrichment in the solar wind of heavy Cr due to spallation in the solar atmosphere or (2) that the Earth and the various parent bodies of the meteorites are distinct from the Sun and must have formed from slightly different mixes of presolar materials. To help resolve this issue, we have developed a wholly independent method for determining the relative abundances of transition metals in the solar wind implanted in individual lunar soil grains. This method is based on in situ abundance measurements by microbeam x-ray fluorescence in both the implantation zone and bulk grains using the synchrotron x-ray microprobe at the Advanced Photon Source (GSECARS sector 13) at Argonne National Laboratory. Here, we report results for Apollo 16 and 17 plagioclase grains. Additionally, a micro-XANES technique was used to determine charge states of the implanted Cr, Mn, Fe and Ni.

Kitts, K.; Sutton, S.; Newville, M. (NIU); (UofC)

2007-03-06T23:59:59.000Z

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.


241

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

242

NREL: Wind Research - Large Wind Turbine Research  

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

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

243

A Revised Hurricane PressureWind Model  

Science Conference Proceedings (OSTI)

A new technique for relating central pressure and maximum winds in tropical cyclones is presented, together with a method of objectively determining a derivative of the Holland b parameter, bs, which relates directly to surface winds and varies ...

Greg Holland

2008-09-01T23:59:59.000Z

244

Solar Wind and its Evolution  

E-Print Network (OSTI)

By using our previous results of magnetohydrodynamical simulations for the solar wind from open flux tubes, I discuss how the solar wind in the past is different from the current solar wind. The simulations are performed in fixed one-dimensional super-radially open magnetic flux tubes by inputing various types of fluctuations from the photosphere, which automatically determines solar wind properties in a forward manner. The three important parameters which determine physical properties of the solar wind are surface fluctuation, magnetic field strengths, and the configuration of magnetic flux tubes. Adjusting these parameters to the sun at earlier times in a qualitative sense, I infer that the quasi-steady-state component of the solar wind in the past was denser and slightly slower if the effect of the magneto-centrifugal force is not significant. I also discuss effects of magneto-centrifugal force and roles of coronal mass ejections.

Suzuki, Takeru K

2011-01-01T23:59:59.000Z

245

Meteorological and topographical indicators of wind energy for regional assessments  

SciTech Connect

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

Elliott, D. L.

1979-12-01T23:59:59.000Z

246

Wind Farm Power System Model Development: Preprint  

DOE Green Energy (OSTI)

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

Muljadi, E.; Butterfield, C. P.

2004-07-01T23:59:59.000Z

247

Wind Turbines  

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

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

248

RPP-PLAN-47325 Revision 0 Radioactive Waste Determination Process Plan for Waste Management Area C Tank  

E-Print Network (OSTI)

This plan describes the radioactive waste determination process that the U.S. Department of Energy (DOE) will use for Hanford Site Waste Management Area C (WMA C) tank waste residuals subject to DOE authority under DOE Order 435.1, Radioactive Waste Management. Preparation of this plan is a required component of actions the DOE-Office of River Protection (ORP) must take to fulfill proposed Hanford Federal Facility Agreement and Consent Order Milestone M-045-80. Waste Management Area C is comprised of various single-shell tanks, encased and direct-buried pipes, diversion boxes, pump pits, and unplanned release sites (sites contaminated as a result of spills of tank waste to the environment). Since operations began in the late 1940s, the tanks in WMA C have continuously stored waste managed as high-level waste (HLW) that was derived from defense-related nuclear research, development, and weapons production activities. Planning for the final closure of WMA C is underway. This radioactive waste determination process plan assumes that tank closure will follow retrieval of as much tank waste as technically and economically practical. It is also assumed for the purposes of this plan that after completion

Waste Residuals; J. R. Robertson

2010-01-01T23:59:59.000Z

249

Renewable Hydrogen From Wind in California  

E-Print Network (OSTI)

wind energy electrolytic hydrogen fueling station. ProposalandTheir SuitabilityforHydrogenProductionintheAreaSeptember 2004,HydrogenandFuelCellsConference

Bartholomy, Obadiah

2005-01-01T23:59:59.000Z

250

Wind tunnel model testing of offshore platforms.  

E-Print Network (OSTI)

?? The purpose of this thesis is to highlight some of the areas of interest when it comes to wind tunnel experimenting of offshore platforms (more)

Abrahamsen, Ida Sinnes

2012-01-01T23:59:59.000Z

251

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

Proposed Tariff Revisions RE Westar Energy, Inc. under ER09-a wind energy balancing charge in its transmission tariffEnergy balancing area, equivalent to about $0.7/MWh; this interim tariff

Bolinger, Mark

2013-01-01T23:59:59.000Z

252

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

proposed tariff revisions re Westar Energy, Inc. under ER09-a wind energy balancing charge in its transmission tariffEnergy balancing area equivalent to about $0.80/MWh; this tariff

Wiser, Ryan

2010-01-01T23:59:59.000Z

253

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

254

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

255

Harnessing the wind  

Science Conference Proceedings (OSTI)

Wind power is now recognized as the one renewable-energy source on the verge of being economically viable. For developing countries, in fact, the technology is already practical for bringing pollution-free electricity to areas off the power grid. The ...

J. Jayadev

1995-11-01T23:59:59.000Z

256

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

257

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

258

Wind Energy Resource Atlas of Southeast China  

DOE Green Energy (OSTI)

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

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

2002-11-01T23:59:59.000Z

259

WindSENSE Project Summary: FY2009-2011  

DOE Green Energy (OSTI)

Renewable resources, such as wind and solar, are providing an increasingly larger percentage of our energy needs. To successfully integrate these intermittent resources into the power grid while maintaining its reliability, we need to better understand the characteristics and predictability of the variability associated with these power generation resources. WindSENSE, a three year project at Lawrence Livermore National Laboratory, considered the problem of scheduling wind energy on the grid from the viewpoint of the control room operator. Our interviews with operators at Bonneville Power Administration (BPA), Southern California Edison (SCE), and California Independent System Operator (CaISO), indicated several challenges to integrating wind power generation into the grid. As the percentage of installed wind power has increased, the variable nature of the generation has become a problem. For example, in the Bonneville Power Administration (BPA) balancing area, the installed wind capacity has increased from 700 MW in 2006-2007 to over 1300 MW in 2008 and more than 2600 MW in 2009. To determine the amount of energy to schedule for the hours ahead, operators typically use 0-6 hour ahead forecasts, along with the actual generation in the previous hours and days. These forecasts are obtained from numerical weather prediction (NWP) simulations or based on recent trends in wind speed in the vicinity of the wind farms. However, as the wind speed can be difficult to predict, especially in a region with complex terrain, the forecasts can be inaccurate. Complicating matters are ramp events, where the generation suddenly increases or decreases by a large amount in a short time (Figure 1, right panel). These events are challenging to predict, and given their short duration, make it difficult to keep the load and the generation balanced. Our conversations with BPA, SCE, and CaISO indicated that control room operators would like (1) more accurate wind power generation forecasts for use in scheduling and (2) additional information that can be exploited when the forecasts do not match the actual generation. To achieve this, WindSENSE had two areas of focus: (1) analysis of historical data for better insights, and (2) observation targeting for improved forecasts. The goal was to provide control room operators with an awareness of wind conditions and energy forecasts so they can make well-informed scheduling decisions, especially in the case of extreme events such as ramps.

Kamath, C

2011-09-25T23:59:59.000Z

260

Extreme Winds and Wind Effects on Structures  

Science Conference Proceedings (OSTI)

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

2010-10-04T23:59:59.000Z

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

CX-005952: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination CX-005952: Categorical Exclusion Determination North Carolina Offshore Wind Feasibility Study: Ocean Wind Energy Analysis - Revised CX(s) Applied: A1,...

262

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

Science Conference Proceedings (OSTI)

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

263

Wind Power Forecasting Error Frequency Analyses for Operational Power System Studies: Preprint  

DOE Green Energy (OSTI)

The examination of wind power forecasting errors is crucial for optimal unit commitment and economic dispatch of power systems with significant wind power penetrations. This scheduling process includes both renewable and nonrenewable generators, and the incorporation of wind power forecasts will become increasingly important as wind fleets constitute a larger portion of generation portfolios. This research considers the Western Wind and Solar Integration Study database of wind power forecasts and numerical actualizations. This database comprises more than 30,000 locations spread over the western United States, with a total wind power capacity of 960 GW. Error analyses for individual sites and for specific balancing areas are performed using the database, quantifying the fit to theoretical distributions through goodness-of-fit metrics. Insights into wind-power forecasting error distributions are established for various levels of temporal and spatial resolution, contrasts made among the frequency distribution alternatives, and recommendations put forth for harnessing the results. Empirical data are used to produce more realistic site-level forecasts than previously employed, such that higher resolution operational studies are possible. This research feeds into a larger work of renewable integration through the links wind power forecasting has with various operational issues, such as stochastic unit commitment and flexible reserve level determination.

Florita, A.; Hodge, B. M.; Milligan, M.

2012-08-01T23:59:59.000Z

264

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"

265

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

266

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.

267

Thermal single-well injection-withdrawal tracer tests for determining fracture-matrix heat transfer area  

E-Print Network (OSTI)

Testing for Estimating Heat Transfer Area in FracturedFRACTURE-MATRIX HEAT TRANSFER AREA Karsten Pruess andimprove the flow and heat transfer characteristics of the

Pruess, K.

2011-01-01T23:59:59.000Z

268

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

269

Wind Shear Characteristics at Central Plains Tall Towers (presentation)  

SciTech Connect

The objectives of this report are: (1) Analyze wind shear characteristics at tall tower sites for diverse areas in the central plains (Texas to North Dakota)--Turbines hub heights are now 70-100 m above ground and Wind measurements at 70-100+ m have been rare. (2) Present conclusions about wind shear characteristics for prime wind energy development regions.

Schwartz, M.; Elliott, D.

2006-06-05T23:59:59.000Z

270

Missing wind data forecasting with adaptive neuro-fuzzy inference system  

Science Conference Proceedings (OSTI)

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

Fatih O. Hocaoglu; Yusuf Oysal; Mehmet Kurban

2009-02-01T23:59:59.000Z

271

The Convective System Area Expansion over Amazonia and Its Relationships with Convective System Life Duration and High-Level Wind Divergence  

Science Conference Proceedings (OSTI)

The relationships between the initial area expansion rate of tropical convective systems and their total life duration are analyzed during the period of the Wet Season Amazon Mesoscale Campaign/Large-Scale BiosphereAtmosphere (WETAMC/LBA) ...

Luiz Augusto T. Machado; Henri Laurent

2004-03-01T23:59:59.000Z

272

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

273

Offshore Wind Turbine Wakes Measured by Sodar  

Science Conference Proceedings (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

274

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

275

Siting technologies for large wind turbine clusters  

DOE Green Energy (OSTI)

Site selection for large wind turbine clusters requires thorough documentation of the wind characteristics at the site, because of the influence these characteristics will have on the economics, operations, and service life of the wind turbines. The wind prospecting strategy can be used by a utility to determine specific locations for each wind turbine in a cluster of 10 to 50 or more machines. The key to site selection is knowing what and where to measure. Siting techniques to be used at the various stages of the wind-prospecting strategy are discussed. These techniques help determine where to measure. What to measure at a site is still a moot question. Suggestions are made on what data are needed at what sampling rates. These are based on the assumption that until further experience in siting large clusters of wind turbines is in hand, thorough documentation of wind characteristics affecting machine and cluster output characteristics, operation strategies, and service life are necessary.

Hiester, T.R.; Pennell, W.T.

1979-11-01T23:59:59.000Z

276

Tropical Cyclone Wind Retrievals from the Advanced Microwave Sounding Unit: Application to Surface Wind Analysis  

Science Conference Proceedings (OSTI)

Horizontal winds at 850 hPa from tropical cyclones retrieved using the nonlinear balance equation, where the mass field was determined from Advanced Microwave Sounding Unit (AMSU) temperature soundings, are compared with the surface wind fields ...

Kotaro Bessho; Mark DeMaria; John A. Knaff

2006-03-01T23:59:59.000Z

277

Determination of the Mean Wind Speed and Momentum Diffusivity Profiles above Tall Vegetation and Forest Canopies Using a Mass Conservation Assumption  

Science Conference Proceedings (OSTI)

A semianalytical method based on a mass conservation principle is presented for describing the transition- layer profiles of mean wind speed and momentum diffusivity and for estimating the aerodynamic characteristics of forest and tall vegetation ...

N. M. Zoumakis

1994-02-01T23:59:59.000Z

278

Determination of Planetary Boundary Layer Height on Short Spatial and Temporal Scales: A Demonstration of the Covariance Wavelet Transform in Ground-Based Wind Profiler and Lidar Measurements  

Science Conference Proceedings (OSTI)

This article explores the application of the covariance wavelet transform (CWT) to lidar and, for the first time to the authors' knowledge, wind profiler data to examine the possibility of accurate and continuous planetary boundary layer (PBL) ...

Jaime C. Compton; Ruben Delgado; Timothy A. Berkoff; Raymond M. Hoff

2013-07-01T23:59:59.000Z

279

The Diagnosis of Upper Tropospheric Divergence and Ageostrophic Wind Using Profiler Wind Observations  

Science Conference Proceedings (OSTI)

Wind fields derived from a network of three VHF Doppler radars are used to calculate the mean kinematic properties of the wind field over Colorado and an area-averaged geostrophic and ageostrophic wind. A numerical technique that is equivalent to ...

R. J. Zamora; M. A. Shapiro; C. A. Doswell III

1987-04-01T23:59:59.000Z

280

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

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

Wind Powering America  

DOE Green Energy (OSTI)

At the June 1999 Windpower Conference, the Secretary of Energy launched the Office of Energy Efficiency and Renewable Energy's Wind Powering America (WPA) initiative. The goals of the initiative are to meet 5% of the nation's energy needs with wind energy by 2020 (i.e., 80,000 megawatts installed), to double the number of states that have more than 20 megawatts (MW) of wind capacity to 16 by 2005 and triple it to 24 by 2010, and to increase wind's contribution to Federal electricity use to 5% by 2010. To achieve the Federal government's goal, DOE would take the leadership position and work with its Federal partners. Subsequently, the Secretary accelerated the DOE 5% commitment to 2005. Achieving the 80,000 MW goal would result in approximately $60 billion investment and $1.5 billion of economic development in our rural areas (where the wind resources are the greatest). The purpose of this paper is to provide an update on DOE's strategy for achieving its goals and the activities it has undertaken since the initiative was announced.

Flowers, L. (NREL); Dougherty, P. J. (DOE)

2001-07-07T23:59:59.000Z

282

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

SciTech Connect

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

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

1984-09-01T23:59:59.000Z

283

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

284

Wind Power  

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

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

285

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.

286

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

287

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

288

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

289

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.

290

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

291

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

292

LIDAR Wind Speed Measurements of Evolving Wind Fields  

Science Conference Proceedings (OSTI)

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

293

The Influence of Unsteady Wind on the Performance and Aerodynamics of Vertical Axis Wind Turbines.  

E-Print Network (OSTI)

??Interest in smallscale wind turbines as energy sources in the built environment has increased due to the desire of consumers in urban areas to reduce (more)

Danao, Louis Angelo

2012-01-01T23:59:59.000Z

294

Wind: wind power density GIS data at 50m above ground and 400m...  

Open Energy Info (EERE)

Sri Lanka

(Purpose):To provide information on the wind resource potential within Sri Lanka and selected offshore areas
<...

295

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.

296

Subhourly wind forecasting techniques for wind turbine operations  

DOE Green Energy (OSTI)

Three models for making automated forecasts of subhourly wind and wind power fluctuations were examined to determine the models' appropriateness, accuracy, and reliability in wind forecasting for wind turbine operation. Such automated forecasts appear to have value not only in wind turbine control and operating strategies, but also in improving individual wind turbine control and operating strategies, but also in improving individual wind turbine operating strategies (such as determining when to attempt startup). A simple persistence model, an autoregressive model, and a generalized equivalent Markhov (GEM) model were developed and tested using spring season data from the WKY television tower located near Oklahoma City, Oklahoma. The three models represent a pure measurement approach, a pure statistical method and a statistical-dynamical model, respectively. Forecasting models of wind speed means and measures of deviations about the mean were developed and tested for all three forecasting techniques for the 45-meter level and for the 10-, 30- and 60-minute time intervals. The results of this exploratory study indicate that a persistence-based approach, using onsite measurements, will probably be superior in the 10-minute time frame. The GEM model appears to have the most potential in 30-minute and longer time frames, particularly when forecasting wind speed fluctuations. However, several improvements to the GEM model are suggested. In comparison to the other models, the autoregressive model performed poorly at all time frames; but, it is recommended that this model be upgraded to an autoregressive moving average (ARMA or ARIMA) model. The primary constraint in adapting the forecasting models to the production of wind turbine cluster power output forecasts is the lack of either actual data, or suitable models, for simulating wind turbine cluster performance.

Wegley, H.L.; Kosorok, M.R.; Formica, W.J.

1984-08-01T23:59:59.000Z

297

Wind Gyres in Circumpolar Oceans  

Science Conference Proceedings (OSTI)

The interaction between a close wind-gyre and a neighboring eastward current is investigated using a hierarchy of increasingly complex analytical models. The method used to determine the vertical structure is that proposed earlier by Rhines and ...

Peter H. Haynes

1985-06-01T23:59:59.000Z

298

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.

299

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

300

Effects of Prior Precipitation and Source Area Characteristics on Threshold Wind Velocities for Blowing Dust Episodes, Sonoran Desert 194878  

Science Conference Proceedings (OSTI)

A better understanding of the effects of precipitation and source area on blowing dust in the Sonoran Desert has been sought through the study of 1190 dust episodes occurring during the 194878 time period at Blythe, California, and Yuma, ...

Troy Leon Holcombe; Trevor Ley; Dale A. Gillette

1997-09-01T23:59:59.000Z

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

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.

302

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

303

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

304

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

305

X-ray Microtomography Determination of Air?Water Interfacial Area?Water Saturation Relationships in Sandy Porous Media  

Science Conference Proceedings (OSTI)

In this work, total smooth air-water interfacial areas were measured for a series of nine natural and model sandy porous media as a function of water saturation using synchrotron X-ray microtomography. Interfacial areas decreased linearly with water saturation, while the estimated maximum interfacial area compared favorably to the media geometric surface areas. Importantly, relative interfacial area (i.e., normalized by geometric surface area) versus water saturation plots for all media collapsed into a single linear cluster (r{sup 2} = 0.93), suggesting that geometric surface area is an important, and perhaps sufficient, descriptor of sandy media that governs total smooth interfacial area?water saturation relationships. Measured relationships were used to develop an empirical model for estimating interfacial area-water saturation relationships for sandy porous media. Model-based interfacial area estimates for independent media were generally slightly higher than interfacial areas measured using aqueous-phase interfacial tracer methods, which may indicate that microtomography captures regions of the air-water interface that are not accessible to aqueous-phase interfacial tracers. The empirical model presented here requires only average particle diameter and porosity as input parameters and can be used to readily estimate air-water interfacial area?water saturation relationships for sandy porous media.

Costanza-Robinson, Molly S.; Harrold, Katherine H.; Lieb-Lappen, Ross M. (Middlebury)

2008-08-06T23:59:59.000Z

306

Examination of Capacity and Ramping Impacts of Wind Energy on Power Systems  

DOE Green Energy (OSTI)

When wind plants serve load within the balancing area, no additional capacity required to integrate wind power into the system. We present some thought experiments to illustrate some implications for wind integration studies.

Kirby, B.; Milligan, M.

2008-07-01T23:59:59.000Z

307

Wind-Stress Coefficients at Light Winds  

Science Conference Proceedings (OSTI)

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

Jin Wu

1988-12-01T23:59:59.000Z

308

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

309

Simulated Atmospheric Rime Icing of Some Wind Speed Sensors  

Science Conference Proceedings (OSTI)

Four commercially available wind speed sensors have been tested in an icing wind tunnel to determine the relative susceptibility of each to atmospheric icing and to determine the influence of ire accumulations upon the operation and accuracy of ...

E. M. Gates; W. C. Thompson

1986-06-01T23:59:59.000Z

310

The coal-wind connection  

Science Conference Proceedings (OSTI)

The USA now has more than 10,000 MW of wind capacity and more wind farms are expected to be built. However transmissions constraints are great, especially in the Northwest and upper Midwest, where abundant wind resources span sparsely populated regions. These areas also hold major deposits of coal. Partnerships are being developed to share transmission to accommodate both new wind and new coal-fired capacity. Wyoming may well be the epicentre of the issue. Another idea, in wind-prone Texas, is to further integrate wind with baseload fossil power resources by creation of competitive renewable energy zones (CREZs). New transmission corridors will be set up linking the renewable energy zones to power markets in ERCOT, the Electric Reliability Council of Texas. There are problems of co-developing coal and wind capacity with common transmission. If coal gasification technology emerges on a commercial scale there would be a good opportunity for integrated gasification combined cycle which can cycle to firm up variable wind generation. Several coal companies in Wyoming are considering gasifying coal and putting it into the pipeline. 2 photos.

Blankinship, S.

2007-01-15T23:59:59.000Z

311

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.

312

Characterizing wind turbine system response to lightning activity  

DOE Green Energy (OSTI)

A lightning protection research program was instituted by National Renewable Energy Laboratory to minimize lightning damage to wind turbines and to further the understanding of effective damage mitigation techniques. To that end, a test program is under way to observe lightning activity, protection system response, and damage at a wind power plant in the Department of Energy (DOE) and Electric Power Research Institute (EPRI) Turbine Verification Program. The authors installed Lightning activated surveillance cameras along with a special storm tracking device to observe the activity in the wind plant area. They instrumented the turbines with lightning and ground current detection devices to log direct and indirect strike activity at each unit. They installed a surge monitor on the utility interface to track incoming activity from the transmission lines. Maintenance logs are used to verify damage and determine downtime and repair costs. Actual strikes to turbines were recorded on video and ancillary devices. The test setup and some results are discussed in this paper.

McNiff, B.; LaWhite, N. [McNiff Light Industry, Harborside, ME (United States); Muljadi, E. [National Renewable Energy Lab., Golden, CO (United States)

1998-07-01T23:59:59.000Z

313

Field Measurements of Wind Turbine Wakes with Lidars  

Science Conference Proceedings (OSTI)

Field measurements of the wake flow produced from a 2-MW Enercon E-70 wind turbine were performed using three scanning Doppler wind lidars. A GPS-based technique was used to determine the position of the wind turbine and the wind lidar locations, ...

Giacomo Valerio Iungo; Yu-Ting Wu; Fernando Port-Agel

2013-02-01T23:59:59.000Z

314

Estimating Maximum Surface Winds from Hurricane Reconnaissance Measurements  

Science Conference Proceedings (OSTI)

Radial profiles of surface winds measured by the Stepped Frequency Microwave Radiometer (SFMR) are compared to radial profiles of flight-level winds to determine the slant ratio of the maximum surface wind speed to the maximum flight-level wind ...

Mark D. Powell; Eric W. Uhlhorn; Jeffrey D. Kepert

2009-06-01T23:59:59.000Z

315

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

316

Contracting for wind generation  

E-Print Network (OSTI)

they would reduce the financial risk facing new entrants to the electricity market seeking new sources of funds. Nuclear power 1 This has been criticised by the House of Commons Energy and Climate Change... is considerably lower for transmission zones that only cover a part of the country, and that averaging over wider areas increases forecast accuracy. If all wind were dispatched by a single System Operator (SO) then the country-wide average would...

Newbery, David

317

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.

318

NREL: Wind Research - International Wind Resource Maps  

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

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

319

NREL: Wind Research - Wind Project Development Updates  

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

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

320

A preliminary evaluation of the performance of wind tunnel and numerical modeling simulations of the wind flow over a wind farm  

SciTech Connect

This report is an analysis of physical and numerical model simulations of the wind flow over complex terrain. The specific area to which these models were applied is a wind farm in the Altamont Pass area of California. The physical model results were obtained from wind tunnel flow simulations, and the numerical model used was the optimizing version of the NOABL model. The goals of this analysis were (1) to evaluate the relative performance of the two models and (2) to uncover any clues that would point toward improvement of the wind tunnel modeling. The performances of the models were gauged by comparing model simulations to wind observations taken over the modeled area.

Barnard, J.C.; Wegley, H.L.

1987-01-01T23:59:59.000Z

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.


321

Summer Wind Flow Regimes over the Sacramento Valley  

Science Conference Proceedings (OSTI)

This study utilized conditional sampling to identify three frequent wind regimes in the lower Sacramento Valley. The major flow features of the mean diurnal wind patterns in the southern Sacramento Valley and surrounding areas were analyzed for ...

Laura L. Zaremba; John J. Carroll

1999-10-01T23:59:59.000Z

322

Climatic Comparisons of Estimated and Measured Winds from Ships  

Science Conference Proceedings (OSTI)

Wind speed records from twelve Ocean Weather Stations (OWS's) are compared to estimates from transient ships in the general vicinity of the on-station OWS position. Measured and estimated winds from transient ships within specified areas are also ...

Robert G. Quayle

1980-02-01T23:59:59.000Z

323

NREL: Education Programs - Wind for Schools Project Gains Traction...  

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

January 29, 2013 Pennsylvania is one area where the U.S. Department of Energy Wind Powering America Wind for Schools project is seeing big impact thanks to several projects...

324

NREL: Technology Deployment - Wind for Schools Project Gains...  

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

January 29, 2013 Pennsylvania is one area where the U.S. Department of Energy Wind Powering America Wind for Schools project is seeing big impact thanks to several projects...

325

Wind turbine  

DOE Patents (OSTI)

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

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

1982-01-01T23:59:59.000Z

326

Wind Resource Atlas of Oaxaca (CD-ROM)  

DOE Green Energy (OSTI)

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

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

2003-08-01T23:59:59.000Z

327

ELECTRONIC BIVANE WIND DIRECTION INDICATOR  

DOE Patents (OSTI)

An apparatus is described for determining and recording three dimensional wind vectors. The apparatus comprises a rotatably mounted azimuthal wind component sensing head and an elevational wind component sensing head mounted to the azimuthal head and adapted to rotate therewith in the azimuthal plane and independently in the elevational plane. A heat source and thermocouples disposed thereabout are mounted within each of the sensing heads, the thermocouples providing electrical signals responsive to the temperature differential created by the passage of air through the sensing tuhes. The thermocouple signals are applied to drive mechanisms which position the sensing heads to a null wind position. Recording means are provided responsive to positional data from the drive mechanisms which are a measurement of the three dimensional wind vectors.

Moses, H.

1961-05-01T23:59:59.000Z

328

Wind Farm Recommendation Report  

Science Conference Proceedings (OSTI)

On April 21, 2011, an Idaho National Laboratory (INL) Land Use Committee meeting was convened to develop a wind farm recommendation for the Executive Council and a list of proposed actions for proceeding with the recommendation. In terms of land use, the INL Land Use Committee unanimously agrees that Site 6 is the preferred location of the alternatives presented for an INL wind farm. However, further studies and resolution to questions raised (stated in this report) by the INL Land Use Committee are needed for the preferred location. Studies include, but are not limited to, wind viability (6 months), bats (2 years), and the visual impact of the wind farm. In addition, cultural resource surveys and consultation (1 month) and the National Environmental Policy Act process (9 to 12 months) need to be completed. Furthermore, there is no documented evidence of developers expressing interest in constructing a small wind farm on INL, nor a specific list of expectations or concessions for which a developer might expect INL to cover the cost. To date, INL assumes the National Environmental Policy Act activities will be paid for by the Department of Energy and INL (the environmental assessment has only received partial funding). However, other concessions also may be expected by developers such as roads, fencing, power line installation, tie-ins to substations, annual maintenance, snow removal, access control, down-time, and remediation. These types of concessions have not been documented, as a request, from a developer and INL has not identified the short and long-term cost liabilities for such concessions should a developer expect INL to cover these costs. INL has not identified a go-no-go funding level or the priority this Wind Farm Project might have with respect to other nuclear-related projects, should the wind farm remain an unfunded mandate. The Land Use Committee recommends Legal be consulted to determine what, if any, liabilities exist with the Wind Farm Project and INLs rights and responsibilities in regards to access to the wind farm once constructed. An expression of interest is expected to go out soon to developers. However, with the potential of 2 years of study remaining for Site 6, the expectation of obtaining meaningful interest from developers should be questioned.

John Reisenauer

2011-05-01T23:59:59.000Z

329

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  

DOE Green Energy (OSTI)

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

330

Capps et al. Wind Power Sensitivity to Turbine Characteristics Sensitivity of Southern California Wind Power to Turbine  

E-Print Network (OSTI)

functions. However, for the installation of a single or small cluster of turbines, a wind developer may find phase of a wind project includes monitoring and evaluating the local wind resource, determining possible turbine locations, and estimating the economic feasibility of a wind project. It may also include

Hall, Alex

331

Structural health monitoring of wind turbines  

DOE Green Energy (OSTI)

To properly determine what is needed in a structural health monitoring system, actual operational structures need to be studied. We have found that to effectively monitor the structural condition of an operational structure four areas must be addressed: determination of damage-sensitive parameters, test planning, information condensation, and damage identification techniques. In this work, each of the four areas has been exercised on an operational structure. The structures studied were all be wind turbines of various designs. The experiments are described and lessons learned will be presented. The results of these studies include a broadening of experience in the problems of monitoring actual structures as well as developing a process for implementing such monitoring systems.

Simmermacher, T.; James, G.H. III.; Hurtado, J.E.

1997-09-01T23:59:59.000Z

332

Topic: Wind Engineering  

Science Conference Proceedings (OSTI)

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

2011-08-31T23:59:59.000Z

333

Extreme Wind Speeds: Publications  

Science Conference Proceedings (OSTI)

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

2013-08-19T23:59:59.000Z

334

The Prediction of Nearshore Wind-induced Surface Currents from Wind Velocities Measured at Nearby Land Stations  

Science Conference Proceedings (OSTI)

This paper aims to find a fast and efficient way to predict the wind-induced components of surface currents in a nearshore coastal area of several hundred square kilometers from wind velocities measured at nearby land stations. Ocean Surface ...

Betty Ng

1993-08-01T23:59:59.000Z

335

NREL: Wind Research - Offshore Wind Research  

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

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

336

TMCC WIND RESOURCE ASSESSMENT  

DOE Green Energy (OSTI)

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

Turtle Mountain Community College

2003-12-30T23:59:59.000Z

337

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

338

Three-Dimensional Wind Field Analysis from Dual-Doppler Radar Data. Part III: The Boundary Condition: An Optimum Determination Based on a Variational Concept  

Science Conference Proceedings (OSTI)

The choice of the boundary condition when integrating the air mass continuity equation, is a major problem of the 3D wind field analysis from dual (or multiple) Doppler radar data. A zero vertical velocity at ground level seems the most natural ...

M. Chong; J. Testud

1983-07-01T23:59:59.000Z

339

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,

340

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

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

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

342

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

343

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

DOE Green Energy (OSTI)

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

Rodney Frehlich

2012-10-30T23:59:59.000Z

344

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

345

Analyses of Wind Energy Impact on WFEC System Operations  

SciTech Connect

Western Farmers Electric Cooperative (WFEC) is a generation and transmission Cooperative in Oklahoma. At the end of 2003 it added 74 megawatts (MW) of wind energy to its energy portfolio by purchasing the output of the Blue Canyon Wind Power Project located north of Lawton, Oklahoma. The wind energy has the potential to provide about 6% of WFEC's peak summer energy demand. During periods of high winds and low loads, wind energy may represent 14% of the control area load. Conversely during periods of calm wind, wind energy cannot be counted upon to provide any energy to WFEC's system. This report analyzes system and wind energy data recorded by the WFEC control area energy management system (EMS) and evaluates the effects of wind energy on system operations.

Wan, Y.; Liao, J. R.

2005-08-01T23:59:59.000Z

346

SUSTAINABLE CONCRETE FOR WIND TURBINE FOUNDATIONS.  

SciTech Connect

The use of wind power to generate electricity continues to grow, especially given commitments by various countries throughout the world to ensure that a significant percentage of energy comes from renewable sources. In order to meet such objectives, increasingly larger turbines with higher capacity are being developed. The engineering aspects of larger turbine development tend to focus on design and materials for blades and towers. However, foundations are also a critical component of large wind turbines and represent a significant cost of wind energy projects. Ongoing wind research at BNL is examining two areas: (a) structural response analysis of wind turbine-tower-foundation systems and (b) materials engineering of foundations. This work is investigating the dynamic interactions in wind turbine systems, which in turn assists the wind industry in achieving improved reliability and more cost efficient foundation designs. The results reported herein cover initial studies of concrete mix designs for large wind turbine foundations and how these may be tailored to reduce cost and incorporate sustainability and life cycle concepts. The approach taken was to investigate material substitutions so that the environmental, energy and CO{sub 2}-impact of concrete could be reduced. The use of high volumes of ''waste'' materials in concrete was examined. These materials included fly ash, blast furnace slag and recycled concrete aggregate. In addition, the use of steel fiber reinforcement as a means to improve mechanical properties and potentially reduce the amount of bar reinforcement in concrete foundations was studied. Four basic mixes were considered. These were: (1) conventional mix with no material substitutions, (2) 50% replacement of cement with fly ash, (3) 50% replacement of cement with blast furnace slag and (4) 25% replacement of cement with fly ash and 25% replacement with blast furnace slag. Variations on these mixes included the addition of 1% by volume steel fibers. The use of recycled concrete aggregate in the conventional and 50% slag mixes was also studied. Properties investigated included compressive and tensile strengths, elastic modulus, coefficient of permeability, thermal conductivity and durability in seawater and sulfate solutions. It was determined that the mixes containing 50% slag gave the best overall performance. Slag was particularly beneficial for concrete that used recycled aggregate and could reduce strength losses. Initial durability results indicated that corrosion of fibers in the different concrete mixes when exposed to seawater was minimal. Future research needs to include more detailed studies of mix design and properties of concrete for wind turbine foundations. Emphasis on slag-modified mixes with natural and recycled concrete aggregate is recommended. The proportion of slag that can be incorporated in the concrete needs to be optimized, as does the grading of recycled aggregate. The potential for using silica fume in conjunction with slag is worth exploring as this may further enhance strength and durability. Longer-term durability studies are necessary and other pertinent properties of concrete that require investigation include damping characteristics, pullout strength, fatigue strength and risk of thermal cracking. The properties of sustainable concrete mixes need to be integrated with studies on the structural behavior of wind turbine foundations in order to determine the optimal mix design and to examine means of reducing conservatism and cost of foundations.

BERNDT,M.L.

2004-06-01T23:59:59.000Z

347

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

348

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

349

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.

350

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

DOE Green Energy (OSTI)

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

351

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

352

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

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

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

353

The Wind Energy Outlook Scenarios 1 India Wind Energy  

E-Print Network (OSTI)

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

unknown authors

2012-01-01T23:59:59.000Z

354

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

355

An Evaluation of Two NEXRAD Wind Retrieval Methodologies and Their Use in Atmospheric Dispersion Models  

Science Conference Proceedings (OSTI)

Two entirely different methods for retrieving 3D fields of horizontal winds from Next Generation Weather Radar (NEXRAD) radial velocities have been evaluated using radar wind profiler measurements to determine whether routine wind retrievals ...

Jerome D. Fast; Rob K. Newsom; K. Jerry Allwine; Qin Xu; Pengfei Zhang; Jeffrey Copeland; Juanzhen Sun

2008-09-01T23:59:59.000Z

356

Prefrontal Wind-Shift Lines in the Plains of the United States  

Science Conference Proceedings (OSTI)

In the central United States, cold fronts are sometimes preceded by a surface wind shift by several hours. These wind shifts are examined to determine their origins and characteristics. A climatology and a case study of an autumn prefrontal wind ...

Todd A. Hutchinson; Howard B. Bluestein

1998-01-01T23:59:59.000Z

357

Hi-Q Rotor - Low Wind Speed Technology  

DOE Green Energy (OSTI)

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

358

Wind-To-Hydrogen Project: Electrolyzer Capital Cost Study  

DOE Green Energy (OSTI)

This study is being performed as part of the U.S. Department of Energy and Xcel Energy's Wind-to-Hydrogen Project (Wind2H2) at the National Renewable Energy Laboratory. The general aim of the project is to identify areas for improving the production of hydrogen from renewable energy sources. These areas include both technical development and cost analysis of systems that convert renewable energy to hydrogen via water electrolysis. Increased efficiency and reduced cost will bring about greater market penetration for hydrogen production and application. There are different issues for isolated versus grid-connected systems, however, and these issues must be considered. The manner in which hydrogen production is integrated in the larger energy system will determine its cost feasibility and energy efficiency.

Saur, G.

2008-12-01T23:59:59.000Z

359

Wind-To-Hydrogen Project: Electrolyzer Capital Cost Study  

SciTech Connect

This study is being performed as part of the U.S. Department of Energy and Xcel Energy's Wind-to-Hydrogen Project (Wind2H2) at the National Renewable Energy Laboratory. The general aim of the project is to identify areas for improving the production of hydrogen from renewable energy sources. These areas include both technical development and cost analysis of systems that convert renewable energy to hydrogen via water electrolysis. Increased efficiency and reduced cost will bring about greater market penetration for hydrogen production and application. There are different issues for isolated versus grid-connected systems, however, and these issues must be considered. The manner in which hydrogen production is integrated in the larger energy system will determine its cost feasibility and energy efficiency.

Saur, G.

2008-12-01T23:59:59.000Z

360

Energy Basics: Wind Power Animation  

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

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

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

Energy Basics: Wind Energy Resources  

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

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

362

Energy Basics: Wind Energy Technologies  

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

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

363

Energy Basics: Wind Energy Technologies  

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

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

364

Solar Wind | Open Energy Information  

Open Energy Info (EERE)

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

365

EERE: Wind Program Home Page  

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

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

366

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Bolinger, Mark

2013-01-01T23:59:59.000Z

367

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

368

Horizon Wind  

E-Print Network (OSTI)

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

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

2009-01-01T23:59:59.000Z

369

U.S. Offshore Wind Manufacturing and Supply Chain Development  

SciTech Connect

The objective of the report is to provide an assessment of the domestic supply chain and manufacturing infrastructure supporting the U.S. offshore wind market. The report provides baseline information and develops a strategy for future development of the supply chain required to support projected offshore wind deployment levels. A brief description of each of the key chapters includes: Chapter 1: Offshore Wind Plant Costs and Anticipated Technology Advancements. Determines the cost breakdown of offshore wind plants and identifies technical trends and anticipated advancements in offshore wind manufacturing and construction. Chapter 2: Potential Supply Chain Requirements and Opportunities. Provides an organized, analytical approach to identifying and bounding the uncertainties associated with a future U.S. offshore wind market. It projects potential component-level supply chain needs under three demand scenarios and identifies key supply chain challenges and opportunities facing the future U.S. market as well as current suppliers of the nations land-based wind market. Chapter 3: Strategy for Future Development. Evaluates the gap or competitive advantage of adding manufacturing capacity in the U.S. vs. overseas, and evaluates examples of policies that have been successful . Chapter 4: Pathways for Market Entry. Identifies technical and business pathways for market entry by potential suppliers of large-scale offshore turbine components and technical services. The report is intended for use by the following industry stakeholder groups: (a) Industry participants who seek baseline cost and supplier information for key component segments and the overall U.S. offshore wind market (Chapters 1 and 2). The component-level requirements and opportunities presented in Section 2.3 will be particularly useful in identifying market sizes, competition, and risks for the various component segments. (b) Federal, state, and local policymakers and economic development agencies, to assist in identifying policies with low effort and high impact (Chapter 3). Section 3.3 provides specific policy examples that have been demonstrated to be effective in removing barriers to development. (c) Current and potential domestic suppliers in the offshore wind market, in evaluating areas of opportunity and understanding requirements for participation (Chapter 4). Section 4.4 provides a step-by-step description of the qualification process that suppliers looking to sell components into a future U.S. offshore wind market will need to follow.

Hamilton, Bruce Duncan [Navigant Consulting, Inc.

2013-02-22T23:59:59.000Z

370

Network wind power over the Pacific Northwest  

DOE Green Energy (OSTI)

Since 1975 the Bonneville Power Administration (BPA) has been sponsoring wind power research at Oregon State University. A feasibility study that initially concentrated on the wind power potential in the Columbia River Gorge has expanded to the BPA service area which covers Washington, Oregon, Idaho, western Montana and northern Nevada. Previous BPA reports have documented the progress of this research.

Hewson, E W; Baker, R W; Barber, D A; Peterson, B

1978-09-01T23:59:59.000Z

371

NREL: Wind Research - Information and Outreach  

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

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

372

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:

373

Fort Peck Reservations Wind Project  

DOE Green Energy (OSTI)

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

Walter White Tail Feather

2007-08-15T23:59:59.000Z

374

Effects of Wind Turbulence on Coherent Doppler Lidar Performance  

Science Conference Proceedings (OSTI)

The effects of wind turbulence on pulsed coherent Doppler lidar performance are investigated theoretically and with computer simulations. The performance of velocity estimators is determined for the case of a single realization of a wind field ...

Rod Frehlich

1997-02-01T23:59:59.000Z

375

Numerical Simulations of Shelterbelt Effects on Wind Direction  

Science Conference Proceedings (OSTI)

A neutral boundary layer nonhydrostatic numerical model is used to determine the characteristics of shelterbelt effects on mean wind direction and to study the processing causing wind rotation when air passes through a shelterbelt. The model uses ...

Hao Wang; Eugene S. Takle

1995-10-01T23:59:59.000Z

376

On the Use of Radars for Operational Wind Profiling  

Science Conference Proceedings (OSTI)

The application of clear-air radars to operational wind profiling is considered. Several alternative techniques for determining atmospheric winds from radars are surveyed and, in light of the current interest in operational applications, the ...

B. B. Balsley; K. S. Gage

1982-09-01T23:59:59.000Z

377

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":""}]}

378

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":""}]}

379

Wind Energy Resource Atlas of the United States  

DOE Data Explorer (OSTI)

This atlas, containing more than 72 maps, estimates wind energy resource for the United States and its terrorities. Early wind resource atlases created for the Federal Wind Energy Program were based on date collected before 1979. Since then, hundreds of new sites have been instrumented specifically for wind energy assessment purposes, and many of these have been located in areas thought to have high wind resource but where data were previously not available or were very limited [copied from http://rredc.nrel.gov/wind/pubs/atlas/chp1.html].

380

A CRITICAL REVIEW OF WIND TRANSMISSION COST ESTIMATES FROM MAJOR TRANSMISSION PLANNING EFFORTS  

E-Print Network (OSTI)

policies will drive an increasing demand for renewable energy, which in most areas is projected to come from wind

Mills, Andrew; Wiser, Ryan; Porter, Kevin

2007-01-01T23:59:59.000Z

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.


381

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

382

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

DOE Green Energy (OSTI)

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

383

An Algorithm for Retrieving Vertical Wind Profiles from Satellite-Observed Winds over the Indian Ocean Using Complex EOF Analysis  

Science Conference Proceedings (OSTI)

With an aim to exploit current satellite observations for determining vertical wind profiles, the authors have carried out a complex empirical orthogonal function (CEOF) analysis of a large number of radiosonde observations of wind fields over ...

C. M. Kishtawal; Sujit Basu; F. C. Pandey

1996-04-01T23:59:59.000Z

384

NREL-Philippine Wind Farm Analysis and Site Selection Analysis...  

Open Energy Info (EERE)

National Renewable Energy Laboratory Sector: Energy Focus Area: Renewable Energy, Wind Topics: Co-benefits assessment, - Energy Access, Low emission development planning,...

385

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

386

Mid-Atlantic Regional Wind Energy Institute  

DOE Green Energy (OSTI)

As the Department of Energy stated in its 20% Wind Energy by 2030 report, there will need to be enhanced outreach efforts on a national, state, regional, and local level to communicate wind development opportunities, benefits and challenges to a diverse set of stakeholders. To help address this need, PennFuture was awarded funding to create the Mid-Atlantic Regional Wind Energy Institute to provide general education and outreach on wind energy development across Maryland, Virginia, Delaware, Pennsylvania and West Virginia. Over the course of the two-year grant period, PennFuture used its expertise on wind energy policy and development in Pennsylvania and expanded it to other states in the Mid-Atlantic region. PennFuture accomplished this through reaching out and establishing connections with policy makers, local environmental groups, health and economic development organizations, and educational institutions and wind energy developers throughout the Mid-Atlantic region. PennFuture conducted two regional wind educational forums that brought together wind industry representatives and public interest organizations from across the region to discuss and address wind development in the Mid-Atlantic region. PennFuture developed the agenda and speakers in collaboration with experts on the ground in each state to help determine the critical issue to wind energy in each location. The sessions focused on topics ranging from the basics of wind development; model ordinance and tax issues; anti-wind arguments and counter points; wildlife issues and coalition building. In addition to in-person events, PennFuture held three webinars on (1) Generating Jobs with Wind Energy; (2) Reviving American Manufacturing with Wind Power; and (3) Wind and Transmission. PennFuture also created a web page for the institute (http://www.midatlanticwind.org) that contains an online database of fact sheets, research reports, sample advocacy letters, top anti-wind claims and information on how to address them, wind and wildlife materials and sample model ordinances. Video and presentations from each in-person meeting and webinar recordings are also available on the site. At the end of the two-year period, PennFuture has accomplished its goal of giving a unified voice and presence to wind energy advocates in the Mid-Atlantic region. We educated a broad range of stakeholders on the benefits of wind energy and gave them the tools to help make a difference in their states. We grew a database of over 500 contacts and hope to continue the discussion and work around the importance of wind energy in the region.

Courtney Lane

2011-12-20T23:59:59.000Z

387

Wind and solar powered turbine  

SciTech Connect

A power generating station having a generator driven by solar heat assisted ambient wind is disclosed. A first plurality of radially extending air passages direct ambient wind to a radial flow wind turbine disposed in a centrally located opening in a substantially disc-shaped structure. A solar radiation collecting surface having black bodies is disposed above the first plurality of air passages and in communication with a second plurality of radial air passages. A cover plate enclosing the second plurality of radial air passages is transparent so as to permit solar radiation to effectively reach the black bodies. The second plurality of air passages direct ambient wind and thermal updrafts generated by the black bodies to an axial flow turbine which also derives additional motive power from the air mass exhausted by the radial flow turbine. The rotating shaft of the turbines drive the generator. The solar and wind driven power generating system operates in electrical cogeneration mode with a fuel powered prime mover. The system is particularly adapted to satisfy the power requirements of a relatively small community located in a geographic area having favorable climatic conditions for wind and solar powered power generation.

Wells, I.D.; Holmes, M.; Kohn, J.L.

1984-02-28T23:59:59.000Z

388

Energy Basics: Wind Power Animation (Text Version)  

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

systems in remote areas such as Alaska have enhanced system reliability and reduced fuel costs. Photo of a utility-scale wind farm moves across the screen; words from the...

389

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"

390

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

391

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

392

A Geophysical Characterization & Monitoring Strategy for Determining Hydrologic Processes in the Hyporheic Corridor at the Hanford 300-Area  

SciTech Connect

The primary objective of this research was to advance the prediction of solute transport between the Uranium contaminated Hanford aquifer and the Columbia River at the Hanford 300 Area by improving understanding of how fluctuations in river stage, combined with subsurface heterogeneity, impart spatiotemporal complexity to solute exchange along the Columbia River corridor. Our work explored the use of continuous waterborne electrical imaging (CWEI), in conjunction with fiber-optic distributed temperature sensor (FO-DTS) and time-lapse resistivity monitoring, to improve the conceptual model for how groundwater/surface water exchange regulates uranium transport. We also investigated how resistivity and induced polarization can be used to generate spatially rich estimates of the variation in depth to the Hanford-Ringold (H-R) contact between the river and the 300 Area Integrated Field Research Challenge (IFRC) site. Inversion of the CWEI datasets (a data rich survey containing {approx}60,000 measurements) provided predictions of the distributions of electrical resistivity and polarizability, from which the spatial complexity of the primary hydrogeologic units along the river corridor was reconstructed. Variation in the depth to the interface between the overlying coarse-grained, high permeability Hanford Formation and the underlying finer-grained, less permeable Ringold Formation, an important contact that limits vertical migration of contaminants, has been resolved along {approx}3 km of the river corridor centered on the IFRC site in the Hanford 300 Area. Spatial variability in the thickness of the Hanford Formation captured in the CWEI datasets indicates that previous studies based on borehole projections and drive-point and multi-level sampling likely overestimate the contributing area for uranium exchange within the Columbia River at the Hanford 300 Area. Resistivity and induced polarization imaging between the river and the 300 Area IFRC further imaged spatial variability in the depth to the Hanford-Ringold inland over a critical region where borehole information is absent, identifying evidence for a continuous depression in the H-R contact between the IFRC and the river corridor. Strong natural contrasts in temperature and specific conductance of river water compared to groundwater at this site, along with periodic river stage fluctuations driven by dam operations, were exploited to yield new insights into the dynamics of groundwater-surface water interaction. Whereas FO-DTS datasets have provided meter-scale measurements of focused groundwater discharge at the riverbed along the corridor, continuous resistivity monitoring has non-invasively imaged spatiotemporal variation in the resistivity inland driven by river stage fluctuations. Time series and time-frequency analysis of FO-DTS and 3D resistivity datasets has provided insights into the role of forcing variables, primarily daily dam operations, in regulating the occurrence of focused exchange at the riverbed and its extension inland. High amplitudes in the DTS and 3D resistivity signals for long periods that dominate the stage time series identify regions along the corridor where stage-driven exchange is preferentially focused. Our work has demonstrated how time-series analysis of both time-lapse resistivity and DTS datasets, in conjunction with resistivity/IP imaging of lithology, can improve understanding of groundwater-surface water exchange along river corridors, offering unique opportunities to connect stage-driven groundwater discharge observed with DTS on the riverbed to stage-driven groundwater and solute fluctuations captured with resistivity inland.

Slater, Lee; Day-Lewis, Frederick; Lane, John; Versteeg, Roelof; Ward, Anderson; Binley, Andrew; Johnson, Timothy; Ntarlagiannis, Dimitrios

2011-08-31T23:59:59.000Z

393

Wind Power Today  

SciTech Connect

Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

2006-05-01T23:59:59.000Z

394

Wind Power Today  

DOE Green Energy (OSTI)

Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

Not Available

2007-05-01T23:59:59.000Z

395

Hurricane Katrina Wind Investigation Report  

SciTech Connect

This investigation of roof damage caused by Hurricane Katrina is a joint effort of the Roofing Industry Committee on Weather Issues, Inc. (RICOWI) and the Oak Ridge National Laboratory/U.S. Department of Energy (ORNL/DOE). The Wind Investigation Program (WIP) was initiated in 1996. Hurricane damage that met the criteria of a major windstorm event did not materialize until Hurricanes Charley and Ivan occurred in August 2004. Hurricane Katrina presented a third opportunity for a wind damage investigation in August 29, 2005. The major objectives of the WIP are as follows: (1) to investigate the field performance of roofing assemblies after major wind events; (2) to factually describe roofing assembly performance and modes of failure; and (3) to formally report results of the investigations and damage modes for substantial wind speeds The goal of the WIP is to perform unbiased, detailed investigations by credible personnel from the roofing industry, the insurance industry, and academia. Data from these investigations will, it is hoped, lead to overall improvement in roofing products, systems, roofing application, and durability and a reduction in losses, which may lead to lower overall costs to the public. This report documents the results of an extensive and well-planned investigative effort. The following program changes were implemented as a result of the lessons learned during the Hurricane Charley and Ivan investigations: (1) A logistics team was deployed to damage areas immediately following landfall; (2) Aerial surveillance--imperative to target wind damage areas--was conducted; (3) Investigation teams were in place within 8 days; (4) Teams collected more detailed data; and (5) Teams took improved photographs and completed more detailed photo logs. Participating associations reviewed the results and lessons learned from the previous investigations and many have taken the following actions: (1) Moved forward with recommendations for new installation procedures; (2) Updated and improved application guidelines and manuals from associations and manufacturers; (3) Launched certified product installer programs; and (4) Submitted building code changes to improve product installation. Estimated wind speeds at the damage locations came from simulated hurricane models prepared by Applied Research Associates of Raleigh, North Carolina. A dynamic hurricane wind field model was calibrated to actual wind speeds measured at 12 inland and offshore stations. The maximum estimated peak gust wind speeds in Katrina were in the 120-130 mph range. Hurricane Katrina made landfall near Grand Isle, Louisiana, and traveled almost due north across the city of New Orleans. Hurricane winds hammered the coastline from Houma, Louisiana, to Pensacola, Florida. The severe flooding problems in New Orleans made it almost impossible for the investigating teams to function inside the city. Thus the WIP investigations were all conducted in areas east of the city. The six teams covered the coastal areas from Bay Saint Louis, Mississippi, on the west to Pascagoula, Mississippi, on the east. Six teams involving a total of 25 persons documented damage to both low slope and steep slope roofing systems. The teams collected specific information on each building examined, including type of structure (use or occupancy), wall construction, roof type, roof slope, building dimensions, roof deck, insulation, construction, and method of roof attachment. In addition, the teams noted terrain exposure and the estimated wind speeds at the building site from the Katrina wind speed map. With each team member assigned a specific duty, they described the damage in detail and illustrated important features with numerous color photos. Where possible, the points of damage initiation were identified and damage propagation described. Because the wind speeds in Katrina at landfall, where the investigations took place, were less than code-specified design speeds, one would expect roof damage to be minimal. One team speculated that damage to all roofs in the area they examined was les

Desjarlais, A. O.

2007-08-15T23:59:59.000Z

396

Wind energy manual  

E-Print Network (OSTI)

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

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

2013-01-01T23:59:59.000Z

397

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

DOE Green Energy (OSTI)

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

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

2002-11-01T23:59:59.000Z

398

NREL: Wind Research - Testing  

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

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

399

Wind | Department of Energy  

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

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

400

Wind/Hydro Study  

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

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

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

Wind Energy Technologies  

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

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

402

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

403

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

404

Wind energy bibliography  

DOE Green Energy (OSTI)

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

None

1995-05-01T23:59:59.000Z

405

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

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

Bolinger, Mark

2010-01-01T23:59:59.000Z

406

Dynamic Models for Wind Turbines and Wind Power Plants  

DOE Green Energy (OSTI)

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

407

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":""}]}

408

Commonwealth Wind Incentive Program Micro Wind Initiative  

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

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

409

Wind characteristics for agricultural wind energy applications  

SciTech Connect

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

Renne, D. S.

1979-01-01T23:59:59.000Z

410

Wind Power Today: Federal Wind Program Highlights  

DOE Green Energy (OSTI)

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

Not Available

2005-04-01T23:59:59.000Z

411

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

DOE Green Energy (OSTI)

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

412

Sault Tribe Wind Energy Feasibility Study  

DOE Green Energy (OSTI)

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

413

RisI1206(EN) Wind Power Meteorology  

E-Print Network (OSTI)

Abstract Wind power meteorology has evolved as an applied science, firmly founded on boundary-layer meteorology, but with strong links to climatology and geography. It concerns itself with three main areas: siting of wind turbines, regional wind resource assessment, and short-term prediction of the wind resource. The history, status and perspectives of wind power meteorology are presented, with emphasis on physical considerations and on its practical application. Following a global view of the wind resource, the elements of boundary layer meteorology which are most important for wind energy are reviewed: wind profiles and shear, turbulence and gust, and extreme winds. The data used in wind power meteorology stem mainly from three sources: onsite wind measurements, the synoptic networks, and the re-analysis projects. Wind climate analysis, wind resource estimation and siting further require a detailed description of the topography of the terrain with respect to the roughness of the surface, near-by obstacles, and orographical features. Finally, the meteorological models used for estimation and prediction of the wind are described; their classification,

Erik L. Petersen; Niels G. Mortensen; Lars L; Jrgen Hjstrup; Helmut P. Frank

1997-01-01T23:59:59.000Z

414

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.

415

Utilizing cable winding and industrial robots to facilitate the manufacturing of electric machines  

Science Conference Proceedings (OSTI)

Cable wound electric machines are used mainly for high voltage and direct-drive applications. They can be found in areas such as wind power, hydropower, wave power and high-voltage motors. Compared to conventional winding techniques, cable winding includes ... Keywords: Automated production, Electric machine assembly, Industrial robot, Powerformer, Stator winding, Wave energy converter

Erik Hultman; Mats Leijon

2013-02-01T23:59:59.000Z

416

Application study of wind power technology to the city of Hart, Michigan  

DOE Green Energy (OSTI)

Information is presented concerning wind data collections and analysis; Hart power demand and consumer usage; wind power assessment; hydro power assessment; results of preliminary economics analysis; environmental impact of wind turbines and operation in the Hart, Oceana County, Michigan area; and systems model for the Hart power system with wind turbine. (DCC)

Asmussen, J.; Fisher, P.D.; Park, G.L.; Krauss, O.

1975-12-31T23:59:59.000Z

417

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

418

Tool to Market Customer-Sited Small Wind Systems: Preprint  

DOE Green Energy (OSTI)

In order to make the Wind Powering America effort a success, homeowners and landowners interested in purchasing grid-connected small wind energy systems must be provided with assistance and education. The Clean Power Estimator (CPE) program is a valuable tool for these individuals. In support of this educational effort, the National Renewable Energy Laboratory's (NRELs) National Wind Technology Center (NWTC) is integrating the CPE program with site-specific wind resource data. This paper describes how the CPE program works, how end users can determine the cost-effectiveness of wind for a specific location, and how companies can use the program to identify high-value wind locations.

Jimenez, T.; George, R.; Forsyth, T.; Hoff, T.E.

2002-05-01T23:59:59.000Z

419

Tool to Market Customer-Sited Small Wind Systems: Preprint  

SciTech Connect

In order to make the Wind Powering America effort a success, homeowners and landowners interested in purchasing grid-connected small wind energy systems must be provided with assistance and education. The Clean Power Estimator (CPE) program is a valuable tool for these individuals. In support of this educational effort, the National Renewable Energy Laboratory's (NRELs) National Wind Technology Center (NWTC) is integrating the CPE program with site-specific wind resource data. This paper describes how the CPE program works, how end users can determine the cost-effectiveness of wind for a specific location, and how companies can use the program to identify high-value wind locations.

Jimenez, T.; George, R.; Forsyth, T.; Hoff, T.E.

2002-05-01T23:59:59.000Z

420

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

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

Gridded state maps of wind electric potential  

DOE Green Energy (OSTI)

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

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

1992-10-01T23:59:59.000Z

422

Pitch Angle Control of Variable Low Rated Speed Wind Turbine Using Fuzzy Logic Control  

E-Print Network (OSTI)

Abstract Pitch angle control of wind turbine has been used widely to reduce torque and output power variation in high rated wind speed areas. It is a challenge to maximize available energy in the low rated wind speed areas. In this paper, a wind turbine prototype with a pitch angle control based on fuzzy logic to maximize the output power is built and demonstrated. In the varying low rated wind speed of 4-6 m/s, the use of fuzzy logic controller can maximize the average output power of 14.5 watt compared to 14.0 watt at a fixed pitch angle of the blade. Implementation of pitch angle fuzzy logic-based control to the wind turbine is suitable for the low rated wind speed areas. Index Terms low rated wind speed areas, pitch angle control, fuzzy logic, wind turbine. T I.

A. Musyafa; A. Harika; I. M. Y. Negara; I. Rob

2010-01-01T23:59:59.000Z

423

Wind River Watershed Restoration 2004-2005 Annual Report.  

DOE Green Energy (OSTI)

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

424

Applications: Operational wind turbines  

E-Print Network (OSTI)

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

425

Wind powering America: Iowa  

DOE Green Energy (OSTI)

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

NREL

2000-04-11T23:59:59.000Z

426

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

427

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":""}]}

428

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.

429

Solar Wind Forecast by Using Interplanetary Scintillation Observations  

Science Conference Proceedings (OSTI)

Interplanetary scintillation (IPS) allows us to determine solar wind velocity and density structures over a relatively short time by employing computer assisted tomography. This method can be applied to forecast solar wind changes for a few days prior to its reaching Earth. We have been attempting solar wind forecasting by using IPS data observed at Solar?Terrestrial Environment Laboratory (STELab)

Kenichi Fujiki; Hiroaki Ito; Munetoshi Tokumaru

2010-01-01T23:59:59.000Z

430

The National Wind Technology Center  

DOE Green Energy (OSTI)

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); Loose, R.R.; Cadogon, J.B.

1994-07-01T23:59:59.000Z

431

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

432

Analysis of Wind Speed Measurements using Continuous Wave LIDAR for Wind Turbine Control ?  

E-Print Network (OSTI)

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 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 accurate the incoming wind field can be measured. This study examines the accuracy of different measurement scenarios that rely on coherent continuouswave Doppler LIDAR systems to determine their applicability to feedforward control. In particular, the impacts of measurement range and angular offset from the wind direction are studied for various wind conditions. A realistic case involving a scanning LIDAR unit mounted in the spinner of a wind turbine is studied in depth, with emphasis on choices for scan radius and preview distance. The effects of turbulence parameters on measurement accuracy are studied as well. Nomenclature d measurement preview distance F focal distance k wind velocity wavenumber (m?1) r scan radius for spinning LIDAR RMS root mean square ?u standard deviation of u component of wind velocity TI turbulence intensity ? LIDAR measurement angle ? mean u wind speed u ? friction velocity U ? D average friction velocity over rotor disk ? angle between laser and wind velocity vector ? angle in the rotor plane ? rotational rate of spinning LIDAR

Eric Simley; Lucy Y. Pao; Rod Frehlich; Bonnie Jonkman; Neil Kelley

2011-01-01T23:59:59.000Z

433

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

DOE Green Energy (OSTI)

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

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

1976-08-01T23:59:59.000Z

434

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

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

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

435

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":""}]}

436

Wind River Watershed Restoration, 2005-2006 Annual Report.  

DOE Green Energy (OSTI)

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

437

Wind Power Outlook 2004  

DOE Green Energy (OSTI)

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

anon.

2004-01-01T23:59:59.000Z

438

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."

439

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

440

Seasonal variability of wind electric potential in the United States  

DOE Green Energy (OSTI)

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

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

1993-07-01T23:59:59.000Z

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

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

442

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

443

Siting guidelines for utility application of wind turbines. Final report  

DOE Green Energy (OSTI)

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

Pennell, W.T.

1983-01-01T23:59:59.000Z

444

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.

445

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

Open Energy Info (EERE)

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

446

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

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

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

447

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

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

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

448

NREL: Wind Research - Small Wind Turbine Independent Testing  

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

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

449

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

Science Conference Proceedings (OSTI)

... Ind. Aerodyn., 97(34), 120131. Peterka, JA (2001). Database of peak gust wind speeds, Texas Tech/ CSU. Extreme winds and wind effects on ...

2013-08-19T23:59:59.000Z

450

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

451

Summary of currently used wind turbine performance prediction computer codes  

DOE Green Energy (OSTI)

Informaion on currently used wind turbine aerodynamic/economic performance prediction codes is compiled and presented. Areas of interest to wind energy researchers that are not included in the reported codes are identified. Areas which are weak in experimental support are also identified.

Perkins, F.

1979-05-01T23:59:59.000Z

452

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.

453

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

454

Mixer-Ejector Wind Turbine: Breakthrough High Efficiency Shrouded Wind Turbine  

SciTech Connect

Broad Funding Opportunity Announcement Project: FloDesign Wind Turbines innovative wind turbine, inspired by the design of jet engines, could deliver 300% more power than existing wind turbines of the same rotor diameter by extracting more energy over a larger area. FloDesign Wind Turbines unique shrouded design expands the wind capture area, and the mixing vortex downstream allows more energy to flow through the rotor without stalling the turbine. The unique rotor and shrouded design also provide significant opportunity for mass production and simplified assembly, enabling mid-scale turbines (approximately 100 kW) to produce power at a cost that is comparable to larger-scale conventional turbines.

None

2010-02-22T23:59:59.000Z

455

Wind Energy Input to the Ekman Layer  

Science Conference Proceedings (OSTI)

Wind stress energy input through the surface ageostrophic currents is studied. The surface ageostrophic velocity is calculated using the classical formula of the Ekman spiral, with the Ekman depth determined from an empirical formula. The total ...

Wei Wang; Rui Xin Huang

2004-05-01T23:59:59.000Z

456

2009 Wind Technologies Market Report  

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

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

457

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Bolinger, Mark

2013-01-01T23:59:59.000Z

458

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Wiser, Ryan

2010-01-01T23:59:59.000Z

459

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Wiser, Ryan

2012-01-01T23:59:59.000Z

460

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Wiser, Ryan

2010-01-01T23:59:59.000Z

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

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Bolinger, Mark

2013-01-01T23:59:59.000Z

462

WIND DATA REPORT Presque Isle  

E-Print Network (OSTI)

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

Massachusetts at Amherst, University of

463

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

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

Massachusetts at Amherst, University of

464

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

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

Massachusetts at Amherst, University of

465