Powered by Deep Web Technologies
Note: This page contains sample records for the topic "wind resource estimates" 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

Q: When planning a wind farm, how are wind resources estimated? And if the average wind speed is known at 10 meters is there a general rule for estimating the wind speed at  

E-Print Network (OSTI)

Q: When planning a wind farm, how are wind resources estimated? And if the average wind speed is known at 10 meters is there a general rule for estimating the wind speed at larger heights above ground level? The wind resource at a wind farm can be estimated in two ways: by measurement or by modeling

2

US areal wind resource estimates considering environmental and land-use exclusions  

DOE Green Energy (OSTI)

In support of the US Department of Energy's National Energy Strategy initiative, estimates of the land area with various levels of wind energy resource 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 land owing to environmental of land-use considerations. These exclusions assume that 100% of the environmentally sensitive land and various percentages of land designated as urban, agricultural or range would be unavailable for wind energy development. Despite these exclusions, the amount of wind resource thus estimated is surprisingly large. For example, estimates of available wind resource and resultant wind electric potential from advanced turbine technology show that a group of 12 states in the midsection of the country could produce more than three times the nation's 1987 electric energy consumption. 1 ref., 7 figs., 1 tab.

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

1990-09-01T23:59:59.000Z

3

US areal wind resource estimates considering environmental and land-use exclusions  

SciTech Connect

In support of the US Department of Energy's National Energy Strategy initiative, estimates of the land area with various levels of wind energy resource 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 land owing to environmental of land-use considerations. These exclusions assume that 100% of the environmentally sensitive land and various percentages of land designated as urban, agricultural or range would be unavailable for wind energy development. Despite these exclusions, the amount of wind resource thus estimated is surprisingly large. For example, estimates of available wind resource and resultant wind electric potential from advanced turbine technology show that a group of 12 states in the midsection of the country could produce more than three times the nation's 1987 electric energy consumption. 1 ref., 7 figs., 1 tab.

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

1990-09-01T23:59:59.000Z

4

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

5

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

6

Mongolia wind resource assessment project  

DOE Green Energy (OSTI)

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

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

1998-09-07T23:59:59.000Z

7

Fort Carson Wind Resource Assessment  

DOE Green Energy (OSTI)

This report focuses on the wind resource assessment, the estimated energy production of wind turbines, and economic potential of a wind turbine project on a ridge in the southeastern portion of the Fort Carson Army base.

Robichaud, R.

2012-10-01T23:59:59.000Z

8

New Wind Energy Resource Potential Estimates for the United States (Presentation)  

DOE Green Energy (OSTI)

This presentation provides an overview of the wind energy resource mapping efforts conducted at NREL and by Truepower.

Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Scott, G.; Brower, M.; Hale, E.; Phelps, B.

2011-01-01T23:59:59.000Z

9

Estimation of Offshore Wind Resources in Coastal Waters off Shirahama Using ENVISAT ASAR Images  

E-Print Network (OSTI)

Abstract: Offshore wind resource maps for the coastal waters off Shirahama, Japan were made based on 104 images of the Advanced Synthetic Aperture Radar (ASAR) onboard the ENVISAT satellite. Wind speed fields were derived from the SAR images with the geophysical model function CMOD5.N. Mean wind speed and energy density were estimated using the Weibull distribution function. These accuracies were examined in comparison with in situ measurements from the Shirahama offshore platform and the Southwest Wakayama buoy (SW-buoy). Firstly, it was found that the SAR-derived 10 m-height wind speed had a bias of 0.52 m/s and a RMSE of 2.33 m/s at Shirahama. Secondly, it was found that the mean wind speeds estimated from SAR images and the Weibull distribution function were overestimated at both sites. The ratio between SAR-derived and in situ measured mean wind speeds at Shirahama is 1.07, and this value was used for a long-termRemote Sens. 2013, 5 2884

Yuko Takeyama; Teruo Ohsawa; Tomohiro Yamashita; Katsutoshi Kozai; Yasunori Muto; Yasuyuki Baba; Koji Kawaguchi

2013-01-01T23:59:59.000Z

10

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

11

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...

12

Indiana 50 M Wind Resource  

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

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

13

Ohio 50 m Wind Resource  

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

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

14

Missouri 50 m Wind Resource  

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

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

15

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has developed an automated technique for wind resource mapping to aid in the acceleration of wind energy deployment. The new automated mapping system was developed with the following two primary goals: (1) to produce a more consistent and detailed analysis of the wind resource for a variety of physiographic settings, particularly in areas of complex terrain; and (2) to generate high quality map products on a timely basis. Using computer mapping techniques reduces the time it takes to produce a wind map that reflects a consistent analysis of the distribution of the wind resource throughout the region of interest. NREL's mapping system uses commercially available geographic information system software packages. Regional wind resource maps using this new system have been produced for areas of the United States, Mexico, Chile, Indonesia (1), and China. Countrywide wind resource assessments are under way for the Philippines, the Dominican Re public, and Mongolia. Regional assessments in Argentina and Russia are scheduled to begin soon.

Schwartz, M.

1999-04-07T23:59:59.000Z

16

NREL: Renewable Resource Data Center - Wind Resource Information  

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

Wind Resource Information Wind Resource Information Photo of five wind turbines at the Nine Canyon Wind Project. The Nine Canyon Wind Project in Benton County, Washington, includes 37 wind turbines and 48 MW of capacity. Detailed wind resource information can be found on NREL's Wind Research Web site. This site provides access to state and international wind resource maps. Wind Integration Datasets are provided to help energy professionals perform wind integration studies and estimate power production from hypothetical wind plants. In addition, RReDC offers Meteorological Field Measurements at Potential and Actual Wind Turbine Sites and a Wind Energy Resource Atlas of the United States. Wind resource maps are also available from the NREL Dynamic Maps, GIS Data, and Analysis Tools Web site.

17

Wind Energy Resource Estimation of the Upper Atmosphere over Southern Africa  

Science Conference Proceedings (OSTI)

On the basis of daily ECMWF data over the period 1982?89, the mean seasonal and mean annual wind energy resource fields on the isobaric surfaces 1000, 850, 700, 500, 300, 200, and 100 hPa, within the latitude?longitudinal zone 0°?50°S and 0°?45°E,...

Fedor F. Bryukhan; Roseanne D. Diab

1995-11-01T23:59:59.000Z

18

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

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

Resource Estimation and Resource Estimation and Mapping at the National Renewable Energy Laboratory April 1999 * NREL/CP-500-26245 M. Schwartz Presented at the ASES Solar '99 Conference Portland, Maine June 12-16, 1999 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

19

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...

20

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

Note: This page contains sample records for the topic "wind resource estimates" 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

Wind Resources By Class Per Country At 50m

These estimates...  

Open Energy Info (EERE)

AssumptionsUsedforWindDeploymentSystemModel.pdf" title"20 Percent Wind Energy by 2030 table B-10" target"" style"text-decoration: none; color: rgb(41, 115, 152);">20% Wind...

22

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

23

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

24

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

25

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 windNavigatorÂź (http://navigator.awstruewind.com) with a spatial resolution of 200 m. NREL filtered the wind potential estimates to

26

Improved diagnostic model for estimating wind energy  

DOE Green Energy (OSTI)

Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

Endlich, R.M.; Lee, J.D.

1983-03-01T23:59:59.000Z

27

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.

28

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

29

Energy Basics: Wind Energy Resources  

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

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

30

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

31

The integration of climatic data sets for wind resource assessment  

DOE Green Energy (OSTI)

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

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

1997-09-01T23:59:59.000Z

32

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

33

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,...

34

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

35

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...

36

Technical Report - Cuba Wind Energy Resource Assessment  

Open Energy Info (EERE)

Cuba Wind Energy Resource Assessment (Abstract):  This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for...

37

Technical Report - China Wind Energy Resource Assessment  

Open Energy Info (EERE)

China Wind Energy Resource Assessment (Abstract):  This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for...

38

Technical Report - Ghana Wind Energy Resource Assessment  

Open Energy Info (EERE)

Ghana Wind Energy Resource Assessment (Abstract):  This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for...

39

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

Wind Powering America (EERE)

80 m 01-APR-2011 2.1.1 Wind Speed ms >10.5 10.0 9.5 9.0 8.5 8.0 7.5 7.0 6.5 6.0 5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC for...

40

Wind Energy Resources  

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

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

Note: This page contains sample records for the topic "wind resource estimates" 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

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

42

Wind resource analysis. Annual report  

SciTech Connect

FY78 results of the Wind Resource Analyses task of the ERAB are described. Initial steps were taken to acquire modern atmosphere models of near-surface wind flow and primary data sets used in previous studies of national and regional wind resources. Because numerous assumptions are necessary to interpret available data in terms of wind energy potential, conclusions of previous studies differ considerably. These data analyses may be improved by future SERI research. State-of-the-art atmosphere models are a necessary component of the SERI wind resource analyses capacity. However, these methods also need to be tested and verified in diverse applications. The primary data sets and principal features of the models are discussed.

Hardy, D. M.

1978-12-01T23:59:59.000Z

43

Wind power resource assessment in complex urban environments  

E-Print Network (OSTI)

in availability of small-scale wind turbines for dense urban environments highlight the need for detailed wind installation of a small wind turbine. The procedure of resource assessment includes estimation of the average wind power available for energy production on campus and identification of optimal location for turbine

44

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

45

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

46

Wind Energy Resource Basics | Department of Energy  

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

Energy Resource Basics Wind Energy Resource Basics July 30, 2013 - 3:11pm Addthis Wind energy can be produced anywhere in the world where the wind blows with a strong and...

47

Wavelet Analysis for Wind Fields Estimation  

E-Print Network (OSTI)

resource assessment and wind farm development in the UK. Inevaluation of oil spills and wind farms. Keywords: SAR; Winddata to characterize wind farms and their potential energy

Leite, Gladeston C.

2013-01-01T23:59:59.000Z

48

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].

49

NREL: Learning - Student Resources on Wind Energy  

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

Wind Energy Photo of a girl and a boy standing beneath a large wind turbine. Students can learn about wind energy by visiting a wind farm. The following resources will help you...

50

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

Wind Powering America (EERE)

and atmospheric effects may cause the wind speed to depart from the map estimates. Expert advice should be sought in placing wind turbines and estimating their energy production....

51

SWERA/Wind Resource Information | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » SWERA/Wind Resource Information < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Wind Resource Information SWERA wind products provide estimates of how much wind resource is available at potential development sites. SWERA wind resources are depicted as average wind speed (meters per second) or wind power density (watts per square meter) at a specified height above the ground (nominally 50 m). These are derived from models and satellite and global weather observations

52

Alaska/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Alaska/Wind Resources Alaska/Wind Resources < Alaska Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Alaska Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

53

Wyoming/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Wyoming/Wind Resources Wyoming/Wind Resources < Wyoming Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Wyoming Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

54

Nevada/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Nevada/Wind Resources Nevada/Wind Resources < Nevada Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Nevada Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

55

Kansas/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Kansas/Wind Resources Kansas/Wind Resources < Kansas Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Kansas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

56

Nebraska/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Nebraska/Wind Resources Nebraska/Wind Resources < Nebraska Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Nebraska Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

57

Alabama/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Alabama/Wind Resources Alabama/Wind Resources < Alabama Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Alabama Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

58

Florida/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Florida/Wind Resources Florida/Wind Resources < Florida Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Florida Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

59

Vermont/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Vermont/Wind Resources Vermont/Wind Resources < Vermont Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Vermont Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

60

Wisconsin/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Wisconsin/Wind Resources Wisconsin/Wind Resources < Wisconsin Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Wisconsin Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

Note: This page contains sample records for the topic "wind resource estimates" 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

Idaho/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Idaho/Wind Resources Idaho/Wind Resources < Idaho Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Idaho Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

62

Missouri/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Missouri/Wind Resources Missouri/Wind Resources < Missouri Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Missouri Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

63

Iowa/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Iowa/Wind Resources Iowa/Wind Resources < Iowa Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Iowa Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

64

Maryland/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Maryland/Wind Resources Maryland/Wind Resources < Maryland Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Maryland Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

65

Massachusetts/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Massachusetts/Wind Resources Massachusetts/Wind Resources < Massachusetts Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Massachusetts Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

66

Minnesota/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Minnesota/Wind Resources Minnesota/Wind Resources < Minnesota Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Minnesota Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

67

Pennsylvania/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Pennsylvania/Wind Resources Pennsylvania/Wind Resources < Pennsylvania Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Pennsylvania Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

68

Hawaii/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Hawaii/Wind Resources Hawaii/Wind Resources < Hawaii Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Hawaii Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

69

Washington/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Washington/Wind Resources Washington/Wind Resources < Washington Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Washington Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

70

Louisiana/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Louisiana/Wind Resources Louisiana/Wind Resources < Louisiana Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Louisiana Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

71

Oregon/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Oregon/Wind Resources Oregon/Wind Resources < Oregon Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Oregon Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

72

Kentucky/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Kentucky/Wind Resources Kentucky/Wind Resources < Kentucky Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Kentucky Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

73

Validation of New Wind Resource Maps: Preprint  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) recently led a project to validate updated state wind resource maps for the northwestern United States produced by a private U.S. company, TrueWind Solutions (TWS). The independent validation project was a cooperative activity among NREL, TWS, and meteorological consultants. It became clear that using a numerical modeling approach for wind resource mapping was rapidly gaining ground as a preferred technique and if the trend continues, it will soon become the most widely used technique around the world. The numerical modeling approach is a relatively fast application compared to older mapping methods and, in theory, should be quite accurate because it directly estimates the magnitude of boundary-layer processes that affect the wind resource of a particular location. Numerical modeling output combined with high-resolution terrain data can produce useful wind resource information at a resolution of 1 km or lower. However, because the use of the numerical modeling approach is new (last 3-5 years) and relatively unproven, meteorological consultants question the accuracy of the approach.

Elliott, D.; Schwartz, M.

2002-05-01T23:59:59.000Z

74

Modeling access to wind resources in the United States  

DOE Green Energy (OSTI)

To project the US potential to meet future electricity demands with wind energy, estimates of available wind resource and costs to access that resource are critical. The US Department of Energy (DOE) Energy Information Administration (EIA) annually estimates the US market penetration of wind in its Annual Energy Outlook series. For these estimates, the EIA uses wind resource data developed by the Pacific Northwest National Laboratory for each region of the country. However, the EIA multiplies the cost of windpower by several factors, some as large as 3, to account for resource quality, market factors associated with accessing the resource, electric grid impacts, and rapid growth in the wind industry. This paper examines the rationale behind these additional costs and suggests alternatives.

Short, W.D.

1999-10-20T23:59:59.000Z

75

Wind Resource Assessment | Open Energy Information  

Open Energy Info (EERE)

Assessment Assessment Jump to: navigation, search Maps Central America 50m Wind Power China Chifeng 50m Wind Power China Enshi 50m Wind Power China Fuzhou 50m Wind Power China Guangzhou 50m Wind Power China Haikou 50m Wind Power China Hangzhou 50m Wind Power China Hohhot 50m Wind Power China Jiamusi 50m Wind Power China Manzhouli 50m Wind Power China Nanchang 50m Wind Power China Qingdao 50m Wind Power China Qiqihar 50m Wind Power China Shenyang 50m Wind Power China Tianjin 50m Wind Power China Yinchuan 50m Wind Power East China Map Reference NREL-30m-US-Wind NREL-50m-Alaska-Wind-Map NREL-50m-Alaska-Wind-Map NREL-Alaska-50m-Wind-Resource NREL-Arizona-50m-Wind-Resource NREL-Arkansas-50m-Wind-Resource NREL-Atlantic-Coast-90m-Offshore-Wind-Resource NREL-CA-90mwindspeed-off NREL-CT-90mwindspeed-off

76

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

77

Wisconsin Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Wind Resources Wind Resources Jump to: navigation, search Print PDF WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid? * State Information Portal * Glossary of Terms * For More Information Wisconsin Wind Resources WisconsinMap.jpg Retrieved from

78

United States (48 Contiguous States) Wind Resource Potential Chart  

Wind Powering America (EERE)

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

79

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

80

Montana/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit History Facebook icon Twitter icon » Montana/Wind Resources < Montana Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Montana Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

Note: This page contains sample records for the topic "wind resource estimates" 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

Ohio/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit History Facebook icon Twitter icon » Ohio/Wind Resources < Ohio Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Ohio Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

82

Estimating the economic value of wind forecasting to utilities  

SciTech Connect

Utilities are sometimes reluctant to assign capacity value to wind plants because they are an intermittent resource. One of the potential difficulties is that the output of a wind plant may not be known in advance, thereby making it difficult for the utility to consider wind output as firm. In this paper, we examine the economics of an accurate wind forecast, and provide a range of estimates calculated by a production cost model and real utility data. We discuss how an accurate forecast will affect resource scheduling and the mechanism by which resource scheduling can benefit from an accurate wind forecast.

Milligan, M.R.; Miller, A.H. [National Renewable Energy Lab., Golden, CO (United States); Chapman, F. [Environmental Defense Fund, Oakland, CA (United States)

1995-05-01T23:59:59.000Z

83

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).

84

Category:State Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:State Wind Resources Jump to: navigation, search Category containing State Wind Resources Pages in category "State Wind Resources" The following 100 pages are in this category, out of 100 total. A Alabama/Wind Resources Alabama/Wind Resources/Full Version Alaska/Wind Resources Alaska/Wind Resources/Full Version Arizona/Wind Resources Arizona/Wind Resources/Full Version Arkansas/Wind Resources Arkansas/Wind Resources/Full Version C California/Wind Resources California/Wind Resources/Full Version Colorado/Wind Resources Colorado/Wind Resources/Full Version

85

Texas/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Texas/Wind Resources < Texas Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Texas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

86

Illinois/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Illinois/Wind Resources < Illinois Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Illinois Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

87

Arizona/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Arizona/Wind Resources < Arizona Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Arizona Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

88

California/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » California/Wind Resources < California Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> California Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

89

Connecticut/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Connecticut/Wind Resources < Connecticut Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Connecticut Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

90

Oklahoma/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Oklahoma/Wind Resources < Oklahoma Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Oklahoma Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

91

Michigan/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Michigan/Wind Resources < Michigan Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Michigan Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

92

Indiana/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Indiana/Wind Resources < Indiana Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Indiana Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

93

Maine/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Maine/Wind Resources < Maine Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Maine Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

94

Mississippi/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Mississippi/Wind Resources < Mississippi Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Mississippi Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

95

Tennessee/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Tennessee/Wind Resources < Tennessee Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Tennessee Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

96

Virginia/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Virginia/Wind Resources < Virginia Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Virginia Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

97

Georgia/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Georgia/Wind Resources < Georgia Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Georgia Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

98

Delaware/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Delaware/Wind Resources < Delaware Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Delaware Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

99

Colorado/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Colorado/Wind Resources < Colorado Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Colorado Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

100

Arkansas/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Arkansas/Wind Resources < Arkansas Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Arkansas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

Note: This page contains sample records for the topic "wind resource estimates" 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

Utah/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Utah/Wind Resources < Utah Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Utah Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate?

102

Development of Regional Wind Resource and Wind Plant Output Datasets...  

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

50-47676 March 2010 Development of Regional Wind Resource and Wind Plant Output Datasets Final Subcontract Report 15 October 2007 - 15 March 2009 3TIER Seattle, Washington National...

103

Estimation of resources and reserves  

E-Print Network (OSTI)

This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

Massachusetts Institute of Technology. Energy Laboratory.

1982-01-01T23:59:59.000Z

104

Solar and Wind Energy Resource Assessment Programme's Renewable...  

Open Energy Info (EERE)

Solar and Wind Energy Resource Assessment Programme's Renewable Energy Resource Explorer Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar and Wind Energy Resource...

105

Wind Resource Assessment Report: Mille Lacs Indian Reservation, Minnesota  

DOE Green Energy (OSTI)

The U.S. Environmental Protection Agency (EPA) launched the RE-Powering America's Land initiative to encourage development of renewable energy on potentially contaminated land and mine sites. EPA collaborated with the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) and the Mille Lacs Band of Chippewa Indians to evaluate the wind resource and examine the feasibility of a wind project at a contaminated site located on the Mille Lacs Indian Reservation in Minnesota. The wind monitoring effort involved the installation of a 60-m met tower and the collection of 18 months of wind data at multiple heights above the ground. This report focuses on the wind resource assessment, the estimated energy production of wind turbines, and an assessment of the economic feasibility of a potential wind project sited this site.

Jimenez, A. C.

2013-12-01T23:59:59.000Z

106

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

107

Calwind Resources Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Resources Wind Farm Resources Wind Farm Jump to: navigation, search Name Calwind Resources Wind Farm Facility Calwind Resources Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer CalWind Resources Energy Purchaser Southern California Edison Co Location Tehachapi CA Coordinates 35.07665°, -118.25529° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.07665,"lon":-118.25529,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

108

Puerto Rico wind energy resource assessment project  

Science Conference Proceedings (OSTI)

The Puerto Rico Office of Energy initiated a Wind Energy Resource Assessment Project in September 1982 to gather reliable, quantitative data on the wind resource of Puerto Rico for making decisions on the deployment of single, small wind energy conversion systems throughout the Island and on the viability of installing wind turbine clusters and windfarms interconnected with the Puerto Rico Electric Power Authority grid. The project consists of four main activities: the collection and analysis of existing wind energy data for the Island, the installation and monitoring of five wind measurement stations, the development of a software model to incorporate and analyze these wind measurement data, simulate wind turbine performance, and assess the cost-benefit of conceptual wind energy conversion systems, and the completion of studies to identify institutional factors and industry financial incentives that would affect the deployment of wind energy conversion systems in Puerto Rico. The Wind Energy System Performance Model consists of three separate models; the Wind Resource Assessment Model, the Wind Turbine Performance Model and the Wind System Cost Model. The turbine performance model and the system cost model are interactive so that data such as turbine output power and a load demand profile can be passed between them to facilitate sensitivity studies. All the individual models are user-friendly to allow easy parameter input. They can be run separately or in sequence.

Scott, R.D.; Borgo, P.

1983-12-01T23:59:59.000Z

109

U.S. State Wind Resource Potential | OpenEI  

Open Energy Info (EERE)

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

110

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

111

Federal Energy Management Program: Wind Energy Resources and...  

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

Wind Energy Resources and Technologies Photo of multiple wind turbines stand on green space in front of a mountain backdrop. The Department of Energy tests wind turbine...

112

Federal Energy Management Program: Wind Energy Resources and Technologies  

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

Wind Energy Wind Energy Resources and Technologies to someone by E-mail Share Federal Energy Management Program: Wind Energy Resources and Technologies on Facebook Tweet about Federal Energy Management Program: Wind Energy Resources and Technologies on Twitter Bookmark Federal Energy Management Program: Wind Energy Resources and Technologies on Google Bookmark Federal Energy Management Program: Wind Energy Resources and Technologies on Delicious Rank Federal Energy Management Program: Wind Energy Resources and Technologies on Digg Find More places to share Federal Energy Management Program: Wind Energy Resources and Technologies on AddThis.com... Energy-Efficient Products Technology Deployment Renewable Energy Federal Requirements Renewable Resources & Technologies Solar

113

Technical Report - Central America Wind Energy Resource Assessment  

Open Energy Info (EERE)

Central America Wind Energy Resource Assessment (Abstract):  This document describes the development of detailed high-resolution (1 km2) wind energy resource maps...

114

NREL: Wind Research - Shedding Light on Offshore Wind Resources  

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

Shedding Light on Offshore Wind Resources March 22, 2013 View of the Chesapeake Bay light tower in the water. The Chesapeake Bay light tower is located approximately 13 miles from...

115

Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios  

SciTech Connect

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

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

2012-10-01T23:59:59.000Z

116

Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios  

DOE Green Energy (OSTI)

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

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

2012-10-01T23:59:59.000Z

117

Offshore Wind Resource Global Wind Potential Supply Curves by...  

Open Energy Info (EERE)

Offshore Wind Resource Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW)
2012-07-12T22:51:45Z 2012-07-13T20:49:20Z I am submitting data from...

118

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

119

(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

120

Offshore Wind Resource | OpenEI  

Open Energy Info (EERE)

Offshore Wind Resource Offshore Wind Resource Dataset Summary Description Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW) Source National Renewable Energy Laboratory Date Released July 12th, 2012 (2 years ago) Date Updated July 12th, 2012 (2 years ago) Keywords offshore resource offshore wind renewable energy potential Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon offshore_resource_100_vs2.xlsx (xlsx, 41.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access

Note: This page contains sample records for the topic "wind resource estimates" 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

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

122

NREL GIS Data: Indiana High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

Indiana High Resolution Wind Resource Indiana High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for the state of Indiana at a 50 meter height. Purpose: Provide information on the wind resource development potential within the state of Indiana. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 16 datum WGS 84 projection system. Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

123

NREL GIS Data: Hawaii High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

Wind Resource Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for the state of Hawaii at a 50 meter height. Purpose: Provide information on the wind resource development potential within the state of Hawaii. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 4, datum WGS 84 projection system. Other_Citation_Details: The wind power resource estimates were produced by TrueWind Solutions using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

124

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

125

Indiana 50 M Wind Resource  

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

using their MesoMap system and historical weather data under contract to Wind Powering AmericaNREL. This map has been validated with available surface data by NREL and...

126

Missouri 50 m Wind Resource  

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

using their MesoMap system and historical weather data under contract to Wind Powering AmericaNREL. This map has been validated with available surface data by NREL and...

127

Ohio 50 m Wind Resource  

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

using their MesoMap system and historical weather data under contract to Wind Powering AmericaNREL. This map has been validated with available surface data by NREL and...

128

Wind energy resource atlas. Volume 10. Alaska region  

DOE Green Energy (OSTI)

This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in each subregion of Alaska. Background is presented on how the wind resource is assessed and on how the results of the assessment should be interpreted. A description of the wind resource on a state scale is given. The results of the wind energy assessments for each subregion are assembled into an overview and summary of the various features of the Alaska wind energy resource. An outline to the descriptions of the wind resource given for each subregion is included. Assessments for individual subregions are presented as separate chapters. The subregion wind energy resources are described in greater detail than is the Alaska wind energy resource, and features of selected stations are discussed. This preface outlines the use and interpretation of the information found in the subregion chapters.

Wise, J.L.; Wentink, T. Jr.; Becker, R. Jr.; Comiskey, A.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1980-12-01T23:59:59.000Z

129

Wind energy resource atlas. Volume 9. The Southwest Region  

DOE Green Energy (OSTI)

This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in Nevada and California. Background on how the wind resource is assessed and on how the results of the assessment should be interpreted is presented. A description of the wind resource on a regional scale is then given. The results of the wind energy assessments for each state are assembled into an overview and summary of the various features of the regional wind energy resource. An introduction and outline to the descriptions of the wind resource given for each state are given. Assessments for individual states are presented as separate chapters. The state wind energy resources are described in greater detail than is the regional wind energy resource, and features of selected stations are discussed.

Simon, R.L.; Norman, G.T.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1980-11-01T23:59:59.000Z

130

Wind energy resource atlas. Volume 4. The Northeast region  

DOE Green Energy (OSTI)

This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in each state of the region. Background is presented on how the wind resource is assessed and on how the results of the assessment should be interpreted. A description of the wind resource on a regional scale is then given. The results of the wind energy assessments for each state are assembled in this chapter into an overview and summary of the various features of the regional wind energy resource. An introduction and outline are provided for in the descriptions of the wind resource given for each state. Assessments for individual states are presented. The state wind energy resources are described in greater detail than is the regional wind energy resource, and features of selected stations are discussed. This preface outlines the use and interpretation of the information found in the state chapters.

Pickering, K.E.; Vilardo, J.M.; Schakenbach, J.T.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1980-09-01T23:59:59.000Z

131

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

132

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

133

The impact of climate change on the U.S. wind energy resource  

DOE Green Energy (OSTI)

I propose to use the new North American Regional Climate Change Assessment Program climate projections to estimate the change of the wind power resource under various carbon dioxide loading scenarios and for a range of climate models. We will compare our assessment with both our assessment based on the IPCC AR4 model runs, to explore the extent to which improved model resolution changes the prediction for the wind power resource, and with present day estimates from reanalysis and scatterometer winds.

Daniel Kirk-Davidoff; Daniel Barrie

2013-03-19T23:59:59.000Z

134

Wind Energy Resource Atlas of the Dominican Republic  

DOE Green Energy (OSTI)

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

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

2001-10-01T23:59:59.000Z

135

Technical Report - Sri Lanka and the Maldives Wind Energy Resource  

Open Energy Info (EERE)

Sri Lanka and the Maldives Wind Energy Resource Assessment (Abstract):  This document describes the development of detailed high-resolution (1 km2) wind energy...

136

Sampling Wind Data for Mean Wind Speed Estimation  

Science Conference Proceedings (OSTI)

Two sampling techniques are applied to wind data at 3 h intervals for six stations in the Great Plains region in the United States in order to investigate the reduction in the number of data needed to estimate the mean wind speed. One-in-k ...

Mark Jong; Gary Thomann

1981-03-01T23:59:59.000Z

137

West Virginia/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

West Virginia/Wind Resources West Virginia/Wind Resources < West Virginia Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> West Virginia Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

138

North Dakota/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

North Dakota/Wind Resources North Dakota/Wind Resources < North Dakota Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> North Dakota Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

139

South Dakota/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

South Dakota/Wind Resources South Dakota/Wind Resources < South Dakota Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> South Dakota Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

140

New York/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

New York/Wind Resources New York/Wind Resources < New York Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> New York Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid?

Note: This page contains sample records for the topic "wind resource estimates" 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

New Jersey/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

New Jersey/Wind Resources New Jersey/Wind Resources < New Jersey Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> New Jersey Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

142

Rhode Island/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Rhode Island/Wind Resources Rhode Island/Wind Resources < Rhode Island Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Rhode Island Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

143

South Carolina/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

South Carolina/Wind Resources South Carolina/Wind Resources < South Carolina Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> South Carolina Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid?

144

Wind energy resource atlas. Volume 5: the East Central Region  

DOE Green Energy (OSTI)

This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in each state of the region. Background is presented on how the wind resource is assessed and on how the results of the assessment should be interpreted. A description of the wind resource on a regional scale is then given. The results of the wind energy assessments for each state are assembled into an overview and summary of the various features of the regional wind energy resource. Assessments for individual states are presented as separate chapters. The state wind energy resources are described in greater detail than is the regional wind energy resource, and features of selected stations are discussed. This preface outlines the use and interpretation of the information found in the state chapters. States include Delaware, Maryland, Kentucky, North Carolina, Tennessee, Virginia, and West Virginia.

Brode, R.; Stoner, R.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1980-01-01T23:59:59.000Z

145

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

146

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

147

Georgia/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Georgia/Wind Resources/Full Version Georgia/Wind Resources/Full Version < Georgia‎ | Wind Resources Jump to: navigation, search Print PDF Georgia Wind Resources GeorgiaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

148

California/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

California/Wind Resources/Full Version California/Wind Resources/Full Version < California‎ | Wind Resources Jump to: navigation, search Print PDF California Wind Resources CaliforniaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

149

Kansas/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Kansas/Wind Resources/Full Version Kansas/Wind Resources/Full Version < Kansas‎ | Wind Resources Jump to: navigation, search Print PDF Kansas Wind Resources KansasMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

150

Wisconsin/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Wisconsin/Wind Resources/Full Version Wisconsin/Wind Resources/Full Version < Wisconsin‎ | Wind Resources Jump to: navigation, search Print PDF Wisconsin Wind Resources WisconsinMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

151

Nebraska/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Nebraska/Wind Resources/Full Version Nebraska/Wind Resources/Full Version < Nebraska‎ | Wind Resources Jump to: navigation, search Print PDF Nebraska Wind Resources NebraskaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

152

Michigan/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Michigan/Wind Resources/Full Version Michigan/Wind Resources/Full Version < Michigan‎ | Wind Resources Jump to: navigation, search Print PDF Michigan Wind Resources MichiganMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

153

Texas/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Texas/Wind Resources/Full Version Texas/Wind Resources/Full Version < Texas‎ | Wind Resources Jump to: navigation, search Print PDF Texas Wind Resources TexasMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

154

Wyoming/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Wyoming/Wind Resources/Full Version Wyoming/Wind Resources/Full Version < Wyoming‎ | Wind Resources Jump to: navigation, search Print PDF Wyoming Wind Resources WyomingMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

155

Mississippi/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Mississippi/Wind Resources/Full Version Mississippi/Wind Resources/Full Version < Mississippi‎ | Wind Resources Jump to: navigation, search Print PDF Mississippi Wind Resources MississippiMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

156

Washington/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Washington/Wind Resources/Full Version Washington/Wind Resources/Full Version < Washington‎ | Wind Resources Jump to: navigation, search Print PDF Washington Wind Resources WashingtonMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

157

Vermont/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Vermont/Wind Resources/Full Version Vermont/Wind Resources/Full Version < Vermont‎ | Wind Resources Jump to: navigation, search Print PDF Vermont Wind Resources VermontMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

158

Missouri/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Missouri/Wind Resources/Full Version Missouri/Wind Resources/Full Version < Missouri‎ | Wind Resources Jump to: navigation, search Print PDF Missouri Wind Resources MissouriMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

159

Idaho/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Idaho/Wind Resources/Full Version Idaho/Wind Resources/Full Version < Idaho‎ | Wind Resources Jump to: navigation, search Print PDF Idaho Wind Resources IdahoMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

160

Louisiana/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Louisiana/Wind Resources/Full Version Louisiana/Wind Resources/Full Version < Louisiana‎ | Wind Resources Jump to: navigation, search Print PDF Louisiana Wind Resources LouisianaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

Note: This page contains sample records for the topic "wind resource estimates" 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

Massachusetts/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Massachusetts/Wind Resources/Full Version Massachusetts/Wind Resources/Full Version < Massachusetts‎ | Wind Resources Jump to: navigation, search Print PDF Massachusetts Wind Resources MassachusettsMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

162

Connecticut/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Connecticut/Wind Resources/Full Version Connecticut/Wind Resources/Full Version < Connecticut‎ | Wind Resources Jump to: navigation, search Print PDF Connecticut Wind Resources ConneticutMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

163

Tennessee/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Tennessee/Wind Resources/Full Version Tennessee/Wind Resources/Full Version < Tennessee‎ | Wind Resources Jump to: navigation, search Print PDF Tennessee Wind Resources Tennessee.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

164

Pennsylvania/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Pennsylvania/Wind Resources/Full Version Pennsylvania/Wind Resources/Full Version < Pennsylvania‎ | Wind Resources Jump to: navigation, search Print PDF Pennsylvania Wind Resources PennsylvaniaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

165

Virginia/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Virginia/Wind Resources/Full Version Virginia/Wind Resources/Full Version < Virginia‎ | Wind Resources Jump to: navigation, search Print PDF Virginia Wind Resources VirginiaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

166

Kentucky/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Kentucky/Wind Resources/Full Version Kentucky/Wind Resources/Full Version < Kentucky‎ | Wind Resources Jump to: navigation, search Print PDF Kentucky Wind Resources KentuckyMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

167

Utah/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Utah/Wind Resources/Full Version Utah/Wind Resources/Full Version < Utah‎ | Wind Resources Jump to: navigation, search Print PDF Utah Wind Resources UtahMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

168

Hawaii/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Hawaii/Wind Resources/Full Version Hawaii/Wind Resources/Full Version < Hawaii‎ | Wind Resources Jump to: navigation, search Print PDF Hawaii Wind Resources HawaiiMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

169

Oklahoma/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Oklahoma/Wind Resources/Full Version Oklahoma/Wind Resources/Full Version < Oklahoma‎ | Wind Resources Jump to: navigation, search Print PDF Oklahoma Wind Resources OklahomaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

170

Maryland/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Maryland/Wind Resources/Full Version Maryland/Wind Resources/Full Version < Maryland‎ | Wind Resources Jump to: navigation, search Print PDF Maryland Wind Resources MarylandMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

171

Indiana/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Indiana/Wind Resources/Full Version Indiana/Wind Resources/Full Version < Indiana‎ | Wind Resources Jump to: navigation, search Print PDF Indiana Wind Resources IndianaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

172

Illinois/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Illinois/Wind Resources/Full Version Illinois/Wind Resources/Full Version < Illinois‎ | Wind Resources Jump to: navigation, search Print PDF Illinois Wind Resources IllinoisMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

173

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

174

Changes related to "Idaho/Wind Resources" | Open Energy Information  

Open Energy Info (EERE)

Special page Share this page on Facebook icon Twitter icon Changes related to "IdahoWind Resources" IdahoWind Resources Jump to: navigation, search This is a list of...

175

Solar and Wind Energy Resource Assessment (SWERA)  

Open Energy Info (EERE)

Wiki Page Wiki Page Solar and Wind Energy Resource Assessment A United Nations Environment Programme facilitated effort. Getting Started Data Sets Analysis Tools About SWERA Loading.. Country Name Analyze Layer Data in OpenCarto View Country Profile in OpenEI Latitude Longitude Homer XML Get HOMER Data What am I seeing? This visualization shows international solar DNI, wind and climate resources. Click on one of the layer buttons below to view the resource layer. For more detailed information on each country, select the country by clicking it on the map below and then select 'View in OpenCarto' or 'View Country Page in OpenEI' to explore more data for that country. For HOMER, select a point to populate the latitude/longitude or provide your own, then press the button to send this information to HOMER.

176

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

177

Reassessing Wind Potential Estimates for India: Economic and...  

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

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

178

Wind resource assessment with a mesoscale non-hydrostatic model  

E-Print Network (OSTI)

Wind resource assessment with a mesoscale non- hydrostatic model Vincent Guénard, Center for Energy is developed for assessing the wind resource and its uncertainty. The work focuses on an existing wind farm mast measurements. The wind speed and turbulence fields are discussed. It is shown that the k

Paris-Sud XI, Université de

179

NREL GIS Data: Minnesota High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

Minnesota High Resolution Wind Resource Minnesota High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for Minnesota at a 50 meter height. Purpose: Provide information on the wind resource development potential in Minnesota. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. Data from http://www.state.mn.us/portal/mn/jsp/content.do?contentid=536887066&contenttype=EDITORIAL&agency=Commerce average the 30 and 80 m wind speed values and then converted it to power density assuming a Weibull K of 2.0 and using elevation to estimate air density. Other_Citation_Details: This map has been validated with available surface data by NREL and wind energy meteorological consultants.

180

New Mexico/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit History Facebook icon Twitter icon » New Mexico/Wind Resources < New Mexico Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> New Mexico Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine?

Note: This page contains sample records for the topic "wind resource estimates" 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 Energy Resource Atlas of Armenia  

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

Elliott, M. Schwartz, G. Scott, S. Haymes, D. Heimiller, R. George Elliott, M. Schwartz, G. Scott, S. Haymes, D. Heimiller, R. George National Renewable Energy Laboratory Wind Energy Resource Atlas of Armenia July 2003 * NREL/TP-500-33544 Wind Energy Resource Atlas of Armenia D. Elliott M. Schwartz G. Scott S. Haymes, D. Heimiller R. George Prepared under Task No. WF7C0202 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial

182

Arkansas/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Arkansas/Wind Resources/Full Version < Arkansas‎ | Wind Resources Jump to: navigation, search Print PDF Arkansas Wind Resources ArkansasMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

183

Alabama/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Alabama/Wind Resources/Full Version < Alabama‎ | Wind Resources Jump to: navigation, search Print PDF Alabama Wind Resources AlabamaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

184

Florida/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Florida/Wind Resources/Full Version < Florida‎ | Wind Resources Jump to: navigation, search Print PDF Florida Wind Resources FloridaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

185

Oregon/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Oregon/Wind Resources/Full Version < Oregon‎ | Wind Resources Jump to: navigation, search Print PDF Oregon Wind Resources OregonMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

186

Maine/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Maine/Wind Resources/Full Version < Maine‎ | Wind Resources Jump to: navigation, search Print PDF Maine Wind Resources MaineMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

187

Nevada/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Nevada/Wind Resources/Full Version < Nevada‎ | Wind Resources Jump to: navigation, search Print PDF Nevada Wind Resources NevadaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

188

Delaware/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Delaware/Wind Resources/Full Version < Delaware‎ | Wind Resources Jump to: navigation, search Print PDF Delaware Wind Resources DelawareMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

189

Wind Energy Resources and Technologies | Department of Energy  

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

Wind Energy Resources and Technologies Wind Energy Resources and Technologies Wind Energy Resources and Technologies October 7, 2013 - 9:23am Addthis Photo of two wind turbines standing on a mountain in front of a cloudy blue sky. The Department of Energy tests wind turbine technologies and deployment applications at the National Wind Technology Center. This page provides a brief overview of wind energy resources and technologies supplemented by specific information to apply wind energy within the Federal sector. Overview Federal agencies can harvest wind energy to generate electricity or mechanical power (e.g., windmills for water pumping). To generate electricity, wind rotates large blades on a turbine, which spin an internal shaft connected to a generator. The generator produces electricity, the

190

Wind Energy Resources and Technologies | Department of Energy  

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

Wind Energy Resources and Technologies Wind Energy Resources and Technologies Wind Energy Resources and Technologies October 7, 2013 - 9:23am Addthis Photo of two wind turbines standing on a mountain in front of a cloudy blue sky. The Department of Energy tests wind turbine technologies and deployment applications at the National Wind Technology Center. This page provides a brief overview of wind energy resources and technologies supplemented by specific information to apply wind energy within the Federal sector. Overview Federal agencies can harvest wind energy to generate electricity or mechanical power (e.g., windmills for water pumping). To generate electricity, wind rotates large blades on a turbine, which spin an internal shaft connected to a generator. The generator produces electricity, the

191

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

E-Print Network (OSTI)

We estimate the cost of wind energy and compare it withMW installed worldwide. 6 Wind energy costs in India areof levelized cost were estimated (See Figure 7: Wind Energy

Phadke, Amol

2012-01-01T23:59:59.000Z

192

National-Scale Wind Resource Assessment for Power Generation (Presentation)  

SciTech Connect

This presentation describes the current standards for conducting a national-scale wind resource assessment for power generation, along with the risk/benefit considerations to be considered when beginning a wind resource assessment. The presentation describes changes in turbine technology and viable wind deployment due to more modern turbine technology and taller towers and shows how the Philippines national wind resource assessment evolved over time to reflect changes that arise from updated technologies and taller towers.

Baring-Gould, E. I.

2013-08-01T23:59:59.000Z

193

North Carolina/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » North Carolina/Wind Resources < North Carolina Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> North Carolina Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

194

New Hampshire/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » New Hampshire/Wind Resources < New Hampshire Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> New Hampshire Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

195

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

196

Stakeholder Engagement and Outreach: Wind Resource Maps and Anemometer Loan  

Wind Powering America (EERE)

Maps & Data Maps & Data Printable Version Bookmark and Share Utility-Scale Land-Based Maps Offshore Maps Community-Scale Maps Residential-Scale Maps Anemometer Loan Programs & Data Wind Resource Maps and Anemometer Loan Program Data The Stakeholder Engagement and Outreach initiative provides wind maps and validation to help states and regions build capacity to support and accelerate wind energy deployment. Read about the available wind maps for utility-, community-, and residential-scale wind development. A wind resource map of the United States showing land-based with offshore resources. The Energy Department, the National Renewable Energy Laboratory, and AWS Truepower provide the wind resource map that shows land-based with offshore resources. This map is the first to provide wind developers and policy

197

Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system  

Science Conference Proceedings (OSTI)

This paper proposes a precise real-time wind speed estimation method and sensorless control for variable-speed variable-pitch wind turbine power generation system (WTPGS). The wind speed estimation is realized by a nonlinear input-output mapping extreme ... Keywords: Extreme learning machine, Sensorless control, Wind speed estimation, Wind turbine power generation system

Si Wu; Youyi Wang; Shijie Cheng

2013-02-01T23:59:59.000Z

198

NREL: Education Programs - Wind Applications Center Valuable Resource for  

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

Applications Center Valuable Resource for Wind for Schools Partners Applications Center Valuable Resource for Wind for Schools Partners March 14, 2013 Audio with Jerry Hudgins, Nebraska Wind Applications Center Director and Joel Jacobs, Nebraska Wind Applications Center Associate Director (MP3 3.6 MB). Download Windows Media Player. Time: 00:03:58. The Wind for Schools Program was launched in 2006 by the U.S. Department of Energy, Wind Powering America, and the National Renewable Energy Laboratory. Six states were chosen as priorities for the program, and one of those states was Nebraska. The University of Nebraska-Lincoln houses the Wind Applications Center, which is the resource for K-12 partner schools in the program in Nebraska. Wind Applications Center Director Jerry Hudgins says wind is a fantastic resource in Nebraska, lending itself to renewable energy generation,

199

Solar and Wind Energy Resource Assessment Programme's Renewable Energy  

Open Energy Info (EERE)

Solar and Wind Energy Resource Assessment Programme's Renewable Energy Solar and Wind Energy Resource Assessment Programme's Renewable Energy Resource Explorer Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar and Wind Energy Resource Assessment Programme's Renewable Energy Resource Explorer Focus Area: Solar Topics: Opportunity Assessment & Screening Website: en.openei.org/apps/SWERA/ Equivalent URI: cleanenergysolutions.org/content/solar-and-wind-energy-resource-assess Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance The Solar and Wind Energy Resource Assessment (SWERA) programme's Renewable Energy Resource Explorer (RREX) is a Web-based map viewer that displays data from SWERA, the United Nations Environment Programme (UNEP) renewable resource assessment program. The viewer allows users to select any location

200

Colorado Wind Resource at 50 Meters Above Ground Level  

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

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

Note: This page contains sample records for the topic "wind resource estimates" 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 Power Resource Assessment in Ohio and Puerto Rico  

E-Print Network (OSTI)

Wind Power Resource Assessment in Ohio and Puerto Rico: A Motivational and Educational Tool Juan University, Athens, Ohio Abstract This paper presents an educational guide and example of a wind resource calculations. New data representing wind speed and direction for locations in Ohio and Puerto Rico

Womeldorf, Carole

202

Wind resource mapping of the state of Vermont  

DOE Green Energy (OSTI)

This paper summarizes the results of a wind mapping project and a validation study for the state of Vermont. The computerized wind resource mapping technique used for this project was developed at the National Renewable Energy Laboratory (NREL). The technique uses Geographic Information System (GIS) software and produces high resolution (1km{sup 2}) wind resource maps.

Elliott, D.; Schwartz, M.; Nierenberg, R.

2000-12-13T23:59:59.000Z

203

Wind Atlas for Egypt A national database for wind resource assessment and  

E-Print Network (OSTI)

Wind Atlas for Egypt A national database for wind resource assessment and wind power planning Niels G. Mortensen Wind Energy Department RisÞ National Laboratory MENAREC 3, Cairo, Egypt 12 June 2006 #12;Acknowledgements The "Wind Atlas for Egypt" is the result of a comprehensive team effort! · New

204

Development of Eastern Regional Wind Resource and Wind Plant Output Datasets: March 3, 2008 -- March 31, 2010  

DOE Green Energy (OSTI)

The objective of this project was to provide wind resource inputs to the Eastern Wind Integration and Transmission Study.

Brower, M.

2009-12-01T23:59:59.000Z

205

New England Wind Forum: Resources and Tools  

Wind Powering America (EERE)

Resources and Tools Resources and Tools The following provides resources for large energy users considering purchases of wind or other renewable energy. World Resources Institute. (2004). "Next Generation Green Power Products for Corporate Markets in North America." This installment of WRI's Corporate Guide to Green Power Markets focuses on the most effective, and cost-effective, ways for large electricity consumers to buy green power. These include purchases of nationally sourced RECs and two forms of long-term contracts with renewable generators that can be used to stabilize corporate energy costs or serve as a hedge against volatile electricity rates. The Green Power Market Development Group (GPMDG) A collaboration of 12 leading corporations and the World Resources Institute dedicated to building corporate markets for 1,000 MW of new, cost-competitive green power by 2010. The group includes Alcoa Inc., Delphi Corporation, Dow, DuPont, FedEx Kinko's, General Motors, IBM, Interface, Johnson & Johnson, NatureWorks LLC, Pitney Bowes, and Staples. The GPMDG has developed analytical tools, guidelines for writing a solicitation, sample REC contracts, and corporate case studies, available on their Web site to facilitate corporate purchases of renewable energy.

206

Wind Resource and Feasibility Assessment Report for the Lummi Reservation  

SciTech Connect

This report summarizes the wind resource on the Lummi Indian Reservation (Washington State) and presents the methodology, assumptions, and final results of the wind energy development feasibility assessment, which included an assessment of biological impacts and noise impacts.

DNV Renewables (USA) Inc.; J.C. Brennan & Associates, Inc.; Hamer Environmental L.P.

2012-08-31T23:59:59.000Z

207

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

E-Print Network (OSTI)

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

Phadke, Amol

2012-01-01T23:59:59.000Z

208

NREL GIS data: Pakistan Wind Resources GIS data for Pakistan...  

Open Energy Info (EERE)

GIS data for Pakistan's wind resources in graphical files of seasonal and diurnal data from surface weather stations, graphical files of seasonal and diurnal data from...

209

Colorado Wind Resource at 50 Meters Above Ground Level  

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

Wind Resource at 50 Meters Above Ground Level Metadata also available as Metadata: IdentificationInformation DataQualityInformation SpatialDataOrganizationInformation...

210

Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh...  

Open Energy Info (EERE)

made over the globe for production of electrical and thermal energy. Success of wind and solar energy projects require detailed and precise information on the resources. For most...

211

NREL GIS Data: Illinois High Resolution Wind Resource Abstract...  

Open Energy Info (EERE)

of Illinois at a 50 meter height.

Purpose: Provide information on the wind resource development potential within Illinois.

SupplementalInformation:<...

212

Assessment of Offshore Wind Energy Resources for the United States  

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

Technical Report NRELTP-500-45889 June 2010 Assessment of Offshore Wind Energy Resources for the United States Marc Schwartz, Donna Heimiller, Steve Haymes, and Walt Musial...

213

Improved Offshore Wind Resource Assessment in Global Climate...  

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

Alliance for Sustainable Energy, LLC. Contract No. DE-AC36-08GO28308 Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios Douglas Arent National...

214

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

215

Update of wind resource assessment activities at NREL  

DOE Green Energy (OSTI)

The goal of the wind resource assessment activity at the National Renewable Energy Laboratory (NREL) is to improve the characterization of the wind resource for regions where there are market opportunities for U.S. wind energy technology. A variety of wind resource assessment activities have recently been undertaken at NREL in support of this effort. The major tasks during the past year include aiding the establishment of new wind measurement programs in the United States, the development of updated comprehensive meteorological and geographical data bases to be used for resource assessments in the United States and abroad, and designing progressive wind resource mapping tools to facilitate products used in support of emerging markets.

Elliott, D L; Schwartz, M N

1996-07-01T23:59:59.000Z

216

The impact of climate change on the U.S. wind energy resource  

SciTech Connect

The growing need for low-carbon emitting electricity sources has resulted in rapid growth in the wind power industry. The size and steadiness of the offshore wind resource has attracted growing investment in the planning of offshore wind turbine installations. Decisions about the location and character of wind farms should be made with an eye not only to present but also future wind resource, which may change as increasing carbon dioxide forces reductions in the poleward temperature gradient, and thus potentially in the mean tropospheric westerly winds. I propose to use the new North American Regional Climate Change Assessment Program climate projections to estimate the change of the wind power resource under various carbon dioxide loading scenarios and for a range of climate models. We will compare our assessment with both our assessment based on the IPCC AR4 model runs, to explore the extent to which improved model resolution changes the prediction for the wind power resource, and with present day estimates from reanalysis and scatterometer winds.

Daniel Kirk-Davidoff; Daniel Barrie

2013-03-19T23:59:59.000Z

217

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= œ*______*______*______*.59

Dyer, Bill

218

Wind resources and wind farm wake effects offshore observed from satellite  

E-Print Network (OSTI)

Wind resources and wind farm wake effects offshore observed from satellite Charlotte Bay Hasager, Wind Energy Department, Roskilde, Denmark Charlotte.hasager@risoe.dk, poul.astrup@risoe.dk, merete.bruun.Christiansen@risoe.dk, morten.Nielsen@risoe.dk, r.barthelmie@risoe.dk Abstract: Satellite observations of ocean wind speed

219

Wind resource evaluation at the Caltech Field Laboratory for Optimized Wind Energy (FLOWE)  

E-Print Network (OSTI)

Wind resource evaluation at the Caltech Field Laboratory for Optimized Wind Energy (FLOWE) Quinn;Caltech Field Laboratory for Optimized Wind Energy (reduced visual signature) #12;Field Study Results 6 continuous hours existing wind farms Planform Kinetic Energy Flux = U (W m-2) mean power above cut

220

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

Note: This page contains sample records for the topic "wind resource estimates" 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

Wind Class Sampling of Satellite SAR Imagery for Offshore Wind Resource Mapping  

Science Conference Proceedings (OSTI)

High-resolution wind fields retrieved from satellite synthetic aperture radar (SAR) imagery are combined for mapping of wind resources offshore where site measurements are costly and sparse. A new sampling strategy for the SAR scenes is ...

Merete Badger; Jake Badger; Morten Nielsen; Charlotte Bay Hasager; Alfredo Peńa

2010-12-01T23:59:59.000Z

222

Table F28: Wind Energy Consumption Estimates, 2011  

U.S. Energy Information Administration (EIA)

Table F28: Wind Energy Consumption Estimates, 2011 State Commercial Industrial Electric Power Total Commercial Industrial Electric Power Total

223

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

224

NREL GIS Data: Indiana High Resolution Wind Resource Abstract...  

Open Energy Info (EERE)

estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering AmericaNREL. This map has been validated...

225

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

226

Solar and Wind Energy Resource Assessment (SWERA) | Open Energy Information  

Open Energy Info (EERE)

Energy Resource Assessment (SWERA) Energy Resource Assessment (SWERA) Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Tool Summary LAUNCH TOOL Name: Solar and Wind Energy Resource Assessment Agency/Company /Organization: United Nations Environment Programme Partner: National Renewable Energy Laboratory, German Aerospace Center (DLR), Risoe National Laboratory for Sustainable Energy, Brazil's National Institute for Space Research (INPE), State University of New York (SUNY), Technical University of Denmark (DTU), United Nations Environment Programme (UNEP), National Aeronautics and Space Administration, Global Environment Facility (GEF) Sector: Energy Focus Area: Solar, Wind

227

U.S. Department of Energy Workshop Report - Research Needs for Wind Resource Characterization  

DOE Green Energy (OSTI)

This workshop brought the different atmospheric and wind technology specialists together to evaluate research needs for wind resource characterization.

Schreck, S.; Lundquist, J.; Shaw, W.

2008-06-01T23:59:59.000Z

228

Wind energy resource atlas. Volume 3. Great Lakes Region  

DOE Green Energy (OSTI)

The Great Lakes Region atlas assimilates six collections of wind resource data, one for the region and one for each of the five states that compose the Great Lakes region: Illinois, Indiana, Michigan, Ohio, Wisconsin. At the state level, features of the climate, topography, and wind resource are discussed in greater detail than in the regional discussion and the data locations on which the assessment is based are mapped. Variations over several time scales in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and of hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

Paton, D.L.; Bass, A.; Smith, D.G.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1981-02-01T23:59:59.000Z

229

Wind energy resource atlas. Volume 2. The North Central Region  

SciTech Connect

The North Central atlas assimilates six collections of wind resource data: one for the region and one for each of the five states that compose the North Central region (Iowa, Minnesota, Nebraska, North Dakota, and South Dakota). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and that data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and international wind speed and power, and hourly average wind speed for each season. Other graphs present speed direction and duration frequencies of the wind at these locations.

Freeman, D.L.; Hadley, D.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1981-02-01T23:59:59.000Z

230

Wind energy resource atlas. Volume 7. The south central region  

DOE Green Energy (OSTI)

This atlas of the south central region combines seven collections of wind resource data: one for the region, and one for each of the six states (Arkansas, Kansas, Louisiana, Missouri, Oklahoma, and Texas). At the state level, features of the climate, topography, and wind resource are discussed in greater detail than that provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

Edwards, R.L.; Graves, L.F.; Sprankle, A.C.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1981-03-01T23:59:59.000Z

231

Wind Energy Resources for Teachers | Open Energy Information  

Open Energy Info (EERE)

Resources for Teachers Resources for Teachers Jump to: navigation, search Photo from the South Dakota Wind Applications Center, NREL 18283 The following links lead to curricula and classroom resources for teachers who want to incorporate wind energy into their lesson plans. 4-H Group Wind Curriculum Developed The Power of the Wind, which consists of one Youth Guide and one Facilitator's Guide. The activities involve young people in the engineering design process as they learn about the wind and its uses. The site also offers videos. Boise State University Compiled a list of resources for educators, including lesson plans created using the Idaho State and Common Core Standards. California Energy Commission Developed a set of educational materials called "Energy Quest" that

232

On spatial estimation of wind energy potential in Malaysia  

Science Conference Proceedings (OSTI)

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

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

2011-07-01T23:59:59.000Z

233

Wind Power Technology Status and Performance and Cost Estimates - 2009  

Science Conference Proceedings (OSTI)

This report provides an update on the status and cost of wind power technology based on the Wind Power Technology Status and Performance and Cost Estimates – 2008 (EPRI report 1015806). It addresses the status of wind turbine and related technology for both onshore and offshore applications and the performance and cost of onshore wind power plants.

2009-11-20T23:59:59.000Z

234

Wind for Schools Portal Educational Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Wind for Schools Portal Educational Resources Jump to: navigation, search Wind for Schools Portal Home Comparison Motion Chart Educational Resources Educational Resources University Trade School High School Middle School Elementary School Other Resources To add a new entry, you can upload a new file. In the summary field, type in the following text to add the file to this page: [[Category:Wind for Schools LEVEL Curricula]] Where LEVEL is one of: University Trade School High School Middle School Elementary School Or assign the upload to: [[Category:Wind_for_Schools_Portal_Other_Resources]]

235

Wind field estimation for autonomous dynamic soaring Jack W. Langelaan  

E-Print Network (OSTI)

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

Spletzer, John R.

236

Estimating the Value of Electricity Storage Resources in Electricity...  

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

Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The...

237

Estimating Hurricane Wind Structure in the Absence of Aircraft Reconnaissance  

Science Conference Proceedings (OSTI)

New objective methods are introduced that use readily available data to estimate various aspects of the two-dimensional surface wind field structure in hurricanes. The methods correlate a variety of wind field metrics to combinations of storm ...

James P. Kossin; John A. Knaff; Howard I. Berger; Derrick C. Herndon; Thomas A. Cram; Christopher S. Velden; Richard J. Murnane; Jeffrey D. Hawkins

2007-02-01T23:59:59.000Z

238

Bird Migration and Bias of WSR-88D Wind Estimates  

Science Conference Proceedings (OSTI)

Migrating birds can greatly influence base velocity, velocity azimuth display (VAD), and VAD wind profile products of the WSR-88D. This is documented by comparing estimates of wind velocity and direction from these products with corresponding ...

Sidney A. Gauthreaux Jr.; David S. Mizrahi; Carroll G. Belser

1998-06-01T23:59:59.000Z

239

Wavelet Analysis for Wind Fields Estimation  

E-Print Network (OSTI)

W. ; Feser, F. Relationship between SAR-derived wind vectorsand wind at 10- m height represented by a meososcale model.Yijun, H. Comparison of two wind algorithms of ENVISAT ASAR

Leite, Gladeston C.

2013-01-01T23:59:59.000Z

240

Wind powering America: America's wind power...a natural resource  

DOE Green Energy (OSTI)

The Wind Powering America Initiative is a regionally-based effort to increase the use of clean wind energy in the United States over the next two decades. The purpose of this brochure is to provide a brief description of the initiative, its goals, benefits, and strategy as well as a list of contacts for those interested in obtaining more information.

NONE

2000-04-04T23:59:59.000Z

Note: This page contains sample records for the topic "wind resource estimates" 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

Wind Powering America: America's Wind Power...A Natural Resource  

DOE Green Energy (OSTI)

The Wind Powering America Initiative is a regionally-based effort to increase the use of clean wind energy in the United States over the next two decades. The purpose of this brochure is to provide a brief description of the initiative, its goals, benefits, and strategy as well as a list of contacts for those interested in obtaining more information.

Dougherty, P.

2001-05-23T23:59:59.000Z

242

An Improved Method for Estimating the Wind Power Density Distribution Function  

Science Conference Proceedings (OSTI)

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

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

2010-07-01T23:59:59.000Z

243

Characterization of wind power resource in the United States  

E-Print Network (OSTI)

Wind resource in the continental and offshore United States has been reconstructed and characterized using metrics that describe, apart from abundance, its availability, persistence and intermittency. The Modern Era ...

Gunturu, Udaya Bhaskar

244

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

245

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

246

Improvement of risk estimate on wind turbine tower buckled by hurricane  

E-Print Network (OSTI)

Wind is one of the important reasonable resources. However, wind turbine towers are sure to be threatened by hurricanes. In this paper, method to estimate the number of wind turbine towers that would be buckled by hurricanes is discussed. Monte Carlo simulations show that our method is much better than the previous one. Since in our method, the probability density function of the buckling probability of a single turbine tower in a single hurricane is obtained accurately but not from one approximated expression. The result in this paper may be useful to the design and maintenance of wind farms.

Li, Jingwei

2013-01-01T23:59:59.000Z

247

New Facility to Shed Light on Offshore Wind Resource (Fact Sheet)  

DOE Green Energy (OSTI)

Chesapeake Light Tower facility will gather key data for unlocking the nation's vast offshore wind resource.

Not Available

2013-05-01T23:59:59.000Z

248

A Method for Estimating the Standard Deviation of Wind Directions  

Science Conference Proceedings (OSTI)

A method for estimating the standard deviation of horizontal wind directions (??), from the cosines and sines of direction angles, is proposed.

K. A. Verrall; R. L. Williams

1982-12-01T23:59:59.000Z

249

Estimated Economic Impacts of Utility Scale Wind Power in Iowa  

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

Estimated Economic Impacts of Utility Scale Wind Power in Iowa Sandra Halvatzis and David Keyser National Renewable Energy Laboratory Technical Report NRELTP-6A20-53187 November...

250

NREL Triples Previous Estimates of U.S. Wind Power Potential (Fact Sheet)  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) recently released new estimates of the U.S. potential for wind-generated electricity, using advanced wind mapping and validation techniques to triple previous estimates of the size of the nation's wind resources. The new study, conducted by NREL and AWS TruePower, finds that the contiguous 48 states have the potential to generate up to 37 million gigawatt-hours annually. In comparison, the total U.S. electricity generation from all sources was roughly 4 million gigawatt-hours in 2009.

Not Available

2011-07-01T23:59:59.000Z

251

Wind for Schools Portal Developer Resources | Open Energy Information  

Open Energy Info (EERE)

Developer Resources Developer Resources Jump to: navigation, search Wind for Schools Portal Home Comparison Motion Chart Educational Resources Data, APIs and Visualizations - introduction for aspiring developers Are you looking to get raw data from Wind for Schools Portal? Or perhaps you'd like to modify an existing visualization? This page shows details on how to query data and modify or create your own visualizations. All of the Wind for Schools Portal data is open. Because it is updated real-time, it is unique, interesting data that you can download, analyze and visualize. Data Wind data is aggregated daily to Google Fusion Tables. This data is such that SQL-like queries can be made against it and a visualization created. Generate an API key for your usage at Google API console. This API

252

Advanced Coal Wind Hybrid: Economic Analysis  

E-Print Network (OSTI)

Figure 12. Effect of Wind Integration and Resource Adequacy62 Table E-2. Estimates of Wind IntegrationAugust. Utility Wind Integration Group (UWIG), 2006. “

Phadke, Amol

2008-01-01T23:59:59.000Z

253

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

SciTech Connect

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

Cliff, W.C.

1977-10-01T23:59:59.000Z

254

NREL Triples Previous Estimates of U.S. Wind Power Potential (Fact Sheet), The Spectrum of Clean Energy Innovation, NREL (National Renewable Energy Laboratory)  

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

Triples Previous Estimates of Triples Previous Estimates of U.S. Wind Power Potential The National Renewable Energy Laboratory (NREL) recently released new estimates of the U.S. potential for wind-generated electricity, using advanced wind mapping and validation techniques that triple previous estimates of the size of the nation's wind resources. The new study, conducted by NREL and AWS TruePower, finds that the contiguous 48 states have the potential to generate up to 37 million gigawatt-hours annually. In comparison, the total U.S. electricity generation from all sources was roughly 4 million gigawatt-hours in 2009. Detailed state-by-state estimates of wind energy potential for the United States show the estimated average wind speeds at an 80-meter height. The wind resource maps and estimates

255

Solar and Wind Energy Resource Assessment (SWERA) | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Solar and Wind Energy Resource Assessment (SWERA) (Redirected from SWERA) Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Tool Summary LAUNCH TOOL Name: Solar and Wind Energy Resource Assessment Agency/Company /Organization: United Nations Environment Programme Partner: National Renewable Energy Laboratory, German Aerospace Center (DLR), Risoe National Laboratory for Sustainable Energy, Brazil's National Institute for Space Research (INPE), State University of New York (SUNY), Technical University of Denmark (DTU), United Nations Environment Programme (UNEP), National Aeronautics and Space Administration, Global Environment Facility (GEF)

256

Potential for Development of Solar and Wind Resource in Bhutan  

DOE Green Energy (OSTI)

With support from the U.S. Agency for International Development (USAID), the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) produced maps and data of the wind and solar resources in Bhutan. The solar resource data show that Bhutan has an adequate resource for flat-plate collectors, with annual average values of global horizontal solar radiation ranging from 4.0 to 5.5 kWh/m2-day (4.0 to 5.5 peak sun hours per day). The information provided in this report may be of use to energy planners in Bhutan involved in developing energy policy or planning wind and solar projects, and to energy analysts around the world interested in gaining an understanding of Bhutan's wind and solar energy potential.

Gilman, P.; Cowlin, S.; Heimiller, D.

2009-09-01T23:59:59.000Z

257

Wind resource assessment: San Nicolas Island, California  

DOE Green Energy (OSTI)

San Nicolas Island (SNI) is the site of the Navy Range Instrumentation Test Site which relies on an isolated diesel-powered grid for its energy needs. The island is located in the Pacific Ocean 85 miles southwest of Los Angeles, California and 65 miles south of the Naval Air Weapons Station (NAWS), Point Mugu, California. SNI is situated on the continental shelf at latitude N33{degree}14` and longitude W119{degree}27`. It is approximately 9 miles long and 3.6 miles wide and encompasses an area of 13,370 acres of land owned by the Navy in fee title. Winds on San Nicolas are prevailingly northwest and are strong most of the year. The average wind speed is 7.2 m/s (14 knots) and seasonal variation is small. The windiest months, March through July, have wind speeds averaging 8.2 m/s (16 knots). The least windy months, August through February, have wind speeds averaging 6.2 m/s (12 knots).

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

1996-01-01T23:59:59.000Z

258

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

DOE Green Energy (OSTI)

We assess developable on-shore wind potential in India at three different hub-heights and under two sensitivity scenarios – one with no farmland included, the other with all farmland included. Under the “no farmland included” case, the total wind potential in India ranges from 748 GW at 80m hub-height to 976 GW at 120m hub-height. Under the “all farmland included” case, the potential with a minimum capacity factor of 20 percent ranges from 984 GW to 1,549 GW. High quality wind energy sites, at 80m hub-height with a minimum capacity factor of 25 percent, have a potential between 253 GW (no farmland included) and 306 GW (all farmland included). Our estimates are more than 15 times the current official estimate of wind energy potential in India (estimated at 50m hub height) and are about one tenth of the official estimate of the wind energy potential in the US.

Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet

2011-09-15T23:59:59.000Z

259

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

260

Figure 4.16 Offshore Wind Resources - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Figure 4.16 Offshore Wind Resources U.S. Energy Information Administration / Annual Energy Review 2011 123 Notes: • Data are annual average wind speed at 90 meters.

Note: This page contains sample records for the topic "wind resource estimates" 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

Preliminary petroleum resource estimates for Indonesia  

SciTech Connect

Of about 44 sedimentary basins along the 2900 mi east-west extent of Indonesia, 13 basins are believed to contain practically all of Indonesia's future petroleum resources. Western Indonesia, underlain by the Asian (Sunda) continental block, comprises the Sumatra-Java archipelago, the island of Kalimantan, and the intervening Sunda Shelf. This area contains almost all of the Indonesian petroleum reserves, and its exploration has reached early maturity. The reserves are concentrated in the five larger inner-arc basins of the archipelago and in the three rifted basins of the Kalimantan-Sunda Shelf area. Eastern Indonesia is essentially Irian Jaya (western New Guinea) and the adjoining shelf. The north edge of the Australian-New Guinea continental block has been successively rifted, compressed, and wrenched along its northern boundary with the Pacific plate. Exploration of the three major basins in this tectonic zone is still in an early stage. Preliminary most-likely estimates of the undiscovered recoverable petroleum resources of Indonesia are approximately 7 billion bbl of oil and 70 tcf of gas (in addition to an estimated 70 tcf of discovered gas not yet assigned to reserves). More than 90% of the undiscovered petroleum resources are in western Indonesia, but the best chances for unknown giant discoveries may be in the frontier Irian Jaya of eastern Indonesia.

Kingston, J.

1986-05-01T23:59:59.000Z

262

Kaneohe, Hawaii Wind Resource Assessment Report  

DOE Green Energy (OSTI)

The Department of Energy (DOE) has an interagency agreement to assist the Department of Defense (DOD) in evaluating the potential to use wind energy for power at residential properties at DOD bases in Hawaii. DOE assigned the National Renewable Energy Laboratory (NREL) to facilitate this process by installing a 50-meter (m) meteorological (Met) tower on residential property associated with the Marine Corps Base Housing (MCBH) Kaneohe Bay in Hawaii.

Robichaud, R.; Green, J.; Meadows, B.

2011-11-01T23:59:59.000Z

263

Using Neural Networks to Estimate Wind Turbine  

E-Print Network (OSTI)

This paper uses data collected at Central and South West Services Fort Davis wind farm to develop a neural network based prediction of power produced by each turbine. The power generated by electric wind turbines changes rapidly because of the continuous fluctuation of wind speed and direction. It is important for the power industry to have the capability to perform this prediction for diagnostic purposes---lower-than-expected wind power may be an early indicator of a need for maintenance. In this paper, characteristics of wind power generation are first evaluated in order to establish the relative importance for the neural network. A four input neural network is developed and its performance is shown to be superior to the single parameter traditional model approach.

Power Generation Shuhui; Shuhui Li; Donald C. Wunsch; Edgar A. O’hair; Michael G. Giesselmann; Senior Member; Senior Member

2001-01-01T23:59:59.000Z

264

Stakeholder Engagement and Outreach: Resources and Tools for Siting Wind  

Wind Powering America (EERE)

Federal, Federal, State, & Local Printable Version Bookmark and Share Economic Development Policy Public Lands Public Power Regional Activities State Activities State Lands Siting Resources & Tools Resources for Siting Wind Turbines This page lists information resources such as publications, websites, and news for siting wind turbines. Search the Stakeholder Engagement and Outreach initiative's Database Choose a Type of Information All News Publications Web Resource Videos 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 39 records found. Page 1 of 8, Sorted by descending date Filtered by: Siting 1 2 3 4 5 6 7 8 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

265

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

266

West Virginia/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

West Virginia/Wind Resources/Full Version West Virginia/Wind Resources/Full Version < West Virginia‎ | Wind Resources Jump to: navigation, search Print PDF West Virginia Wind Resources WestVirginiaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

267

New Jersey/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

New Jersey/Wind Resources/Full Version New Jersey/Wind Resources/Full Version < New Jersey‎ | Wind Resources Jump to: navigation, search Print PDF New Jersey Wind Resources NewJerseyMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

268

South Carolina/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

South Carolina/Wind Resources/Full Version South Carolina/Wind Resources/Full Version < South Carolina‎ | Wind Resources Jump to: navigation, search Print PDF South Carolina Wind Resources SouthCarolinaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

269

South Dakota/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

South Dakota/Wind Resources/Full Version South Dakota/Wind Resources/Full Version < South Dakota‎ | Wind Resources Jump to: navigation, search Print PDF South Dakota Wind Resources SouthDakotaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

270

Rhode Island/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

Rhode Island/Wind Resources/Full Version Rhode Island/Wind Resources/Full Version < Rhode Island‎ | Wind Resources Jump to: navigation, search Print PDF Rhode Island Wind Resources RhodeIslandMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the electricity needed by the average U.S. home generally require 1 acre of property or more, approximately 21 million U.S. homes are built on 1-acre

271

Review of Weibull Statistics for Estimation of Wind Speed Distributions  

Science Conference Proceedings (OSTI)

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

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

1984-08-01T23:59:59.000Z

272

Pages that link to "Idaho/Wind Resources" | Open Energy Information  

Open Energy Info (EERE)

Edit History Share this page on Facebook icon Twitter icon Pages that link to "IdahoWind Resources" IdahoWind Resources Jump to: navigation, search What links here...

273

Puerto Rico and U.S. Virgin Islands Wind Resource Map at 50 meters  

Wind Powering America (EERE)

% % % % % % % % % % % % % % % % % % % % % % 19-JUN-2007 1.1.1 U.S. Department of Energy National Renewable Energy Laboratory Puerto Rico and U.S. Virgin Islands - 50 m Wind Power Mayaguez 20 0 20 40 60 80 100 Kilometers 20 0 20 40 60 Miles Ponce San Juan Charlotte Amalie Cruz Bay PUERTO RICO VIRGIN ISLANDS Wind Power Class 1 2 3 4 5 Resource Potential Poor Marginal Fair Good Excellent Wind Power Density at 50 m W/m 0 - 200 200 - 300 300 - 400 400 - 500 500 - 600 2 Wind Speed at 50 m m/s 0.0 - 5.9 5.9 - 6.8 6.8 - 7.5 7.5 - 8.0 8.0 - 8.5 a Wind Speed at 50 m mph 0.0 - 13.2 13.2 - 15.2 15.2 - 16.8 16.8 - 17.9 17.9 - 19.0 a Wind speeds are based on a Weibull k of 2.5 at sea level. a Wind Power Classification The annual wind power estimates for this map were produced by AWS Truewind

274

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

275

Stakeholder Engagement and Outreach: Wind Economic Development Resources  

Wind Powering America (EERE)

Development Resources and Tools Development Resources and Tools This page lists wind-related economic development resources and tools such as publications, Web resources, and news. Search the Stakeholder Engagement and Outreach initiative's Database Choose a Type of Information All News Publications Web Resource Videos 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 198 records found. Page 1 of 40, Sorted by descending date Filtered by: Econ. Dev. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 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

276

Wind power resource assessment in complex urban environments: MIT campus case-study using CFD Analysis  

E-Print Network (OSTI)

Wind power resource assessment in complex urban environments: MIT campus case-study using CFD of Technology, 2Meteodyn Objectives Conclusions References [1] TopoWind software, User Manual [2] Wind Resource Assessment Handbook: Fundamentals for Conducting a Successful Wind Monitoring Program, AWS Scientific, Inc

277

Additional Resources for Estimating Building Energy and Cost Savings to  

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

Additional Resources for Estimating Building Energy and Cost Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases October 7, 2013 - 11:06am Addthis For evaluating greenhouse gas reduction strategies and estimating costs, the following information resources can help Federal agencies estimate energy and cost savings potential by building type. When deciding what resource to use for developing energy- and cost-savings estimates, a program should consider items detailed in Table 1. Table 1.Resources for Estimating Energy Savings Resource Items to consider Advanced Energy Retrofit Guides Based on representative building models of commercial buildings. Guidance available for a limited number of building types using the most common technologies.

278

Wind Resources By Class Per Country At 50m | OpenEI  

Open Energy Info (EERE)

42 42 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142279642 Varnish cache server Wind Resources By Class Per Country At 50m 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), RisĂž DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data represents wind power class intervals 3 through 7 at 50 m height above ground. Wind class is derived from the capacity factor obtained from the 20% Wind Energy by 2030 Table B-10. The range was created from years 2005 and 2010.

279

Power in the wind. [Techniques for estimation of wind potential energy  

SciTech Connect

Techniques are described which can be used by engineers, technicians and homeowners for the estimation of potential energy in wind and in particular wind machines. They are suitable for onsite calculations with the use of nothing more than a pocket calculator. (JMT)

Gipe, P.

1981-04-01T23:59:59.000Z

280

80 and 100 Meter Wind Energy Resource Potential for the United States (Poster)  

SciTech Connect

Accurate information about the wind potential in each state is required for federal and state policy initiatives that will expand the use of wind energy in the United States. The National Renewable Energy Laboratory (NREL) and AWS Truewind have collaborated to produce the first comprehensive new state-level assessment of wind resource potential since 1993. The estimates are based on high-resolution maps of predicted mean annual wind speeds for the contiguous 48 states developed by AWS Truewind. These maps, at spatial resolution of 200 meters and heights of 60 to 100 meters, were created with a mesoscale-microscale modeling technique and adjusted to reduce errors through a bias-correction procedure involving data from more than 1,000 measurement masts. NREL used the capacity factor maps to estimate the wind energy potential capacity in megawatts for each state by capacity factor ranges. The purpose of this presentation is to (1) inform state and federal policy makers, regulators, developers, and other stakeholders on the availability of the new wind potential information that may influence development, (2) inform the audience of how the new information was derived, and (3) educate the audience on how the information should be interpreted in developing state and federal policy initiatives.

Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Scott, G.; Flowers, L.; Brower, M.; Hale, E.; Phelps, B.

2010-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind resource estimates" 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

Recent wind resource characterization activities at the National Renewable Energy Laboratory  

DOE Green Energy (OSTI)

The wind resource characterization team at the National Renewable Energy Laboratory (NREL) is working to improve the characterization of the wind resource in many key regions of the world. Tasks undertaken in the past year include: updates to the comprehensive meteorological and geographic data bases used in resource assessments in the US and abroad; development and validation of an automated wind resource mapping procedure; support in producing wind forecasting tools useful to utilities involved in wind energy generation; continued support for recently established wind measurement and assessment programs in the US.

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

1997-07-01T23:59:59.000Z

282

A simple method of estimating wind turbine blade fatigue at potential wind turbine sites  

SciTech Connect

This paper presents a technique of estimating blade fatigue damage at potential wind turbine sites. The cornerstone of this technique is a simple model for the blade`s root flap bending moment. The model requires as input a simple set of wind measurements which may be obtained as part of a routine site characterization study. By using the model to simulate a time series of the root flap bending moment, fatigue damage rates may be estimated. The technique is evaluated by comparing these estimates with damage estimates derived from actual bending moment data; the agreement between the two is quite good. The simple connection between wind measurements and fatigue provided by the model now allows one to readily discriminate between damaging and more benign wind environments.

Barnard, J.C.; Wendell, L.L.

1995-06-01T23:59:59.000Z

283

Assessment of Offshore Wind Energy Resources for the United States  

Wind Powering America (EERE)

Technical Report Technical Report NREL/TP-500-45889 June 2010 Assessment of Offshore Wind Energy Resources for the United States Marc Schwartz, Donna Heimiller, Steve Haymes, and Walt Musial National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-500-45889 June 2010 Assessment of Offshore Wind Energy Resources for the United States Marc Schwartz, Donna Heimiller, Steve Haymes, and Walt Musial Prepared under Task No. WE10.1211 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

284

Assessment of Offshore Wind Energy Resources for the United States  

SciTech Connect

This report summarizes the offshore wind resource potential for the contiguous United States and Hawaii as of May 2009. The development of this assessment has evolved over multiple stages as new regional meso-scale assessments became available, new validation data was obtained, and better modeling capabilities were implemented. It is expected that further updates to the current assessment will be made in future reports.

Schwartz, M.; Heimiller, D.; Haymes, S.; Musial, W.

2010-06-01T23:59:59.000Z

285

Remapping of the Wind Energy Resource in the Midwestern United States: Preprint  

DOE Green Energy (OSTI)

A recent increase in interest and development of wind energy in the Midwestern United States has focused the need for updating wind resource maps of this area. The wind resource assessment group at the National Renewable Energy Lab., a U.S. Department of Energy (DOE) laboratory, has produced updated high-resolution (1-km) wind resource maps for several states in this region. This abstract describes the computerized tools and methodology used by NREL to create the higher resolution maps.

Schwartz, M.; Elliot, D.

2001-12-19T23:59:59.000Z

286

Estimation of turbulence level and scale for wind turbine applications  

DOE Green Energy (OSTI)

A simplified method is presented for estimating onsite turbulence variance within the wind turbine layer for horizontal wind speed. The method is based principally on estimating the probability distribution of wind speed and assigning a variance to each mean wind speed based on surface roughness estimates. The model is not proposed as an alternative to onsite measurement and analysis, but rather as an adjunct to such a program. A revision of the Kaimal neutral u-component spectrum is suggested to apply to the mix of the stabilities occurring during operational winds. Values of integral length scale calculated from data analysis are shown to contradict the length scale model implicit in turbulence power spectra. Also, these calculated values are shown to be extremely sensitive to the length of the time series and the detrending method used. The analysis and modeling are extended to the rotational frame of reference for a horizontal-axis wind turbine by modeling the ratios of harmonic spike variances (1P, 2P, etc.) in the rotational spectrum to the Eulerian turbulence variance. 15 refs., 11 figs., 3 tabs.

Powell, D.C.

1988-11-01T23:59:59.000Z

287

New Mexico/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » New Mexico/Wind Resources/Full Version < New Mexico‎ | Wind Resources Jump to: navigation, search Print PDF New Mexico Wind Resources NewMexicoMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs.

288

North Dakota/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » North Dakota/Wind Resources/Full Version < North Dakota‎ | Wind Resources Jump to: navigation, search Print PDF North Dakota Wind Resources NorthDakotaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs.

289

Final Map Draft Comparison Report WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT  

E-Print Network (OSTI)

II Final Map Draft Comparison Report #12;WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT Tel: 978-749-9591 Fax: 978-749-9713 mbrower@awstruewind.com August 10, 2004 #12;2 WIND ENERGY RESOURCE issues. 1 Background In Task 2 of the project, five promising areas of the state for wind energy

290

The Association of Large-Scale Climate Variability and Teleconnections on Wind Energy Resource  

E-Print Network (OSTI)

The Association of Large-Scale Climate Variability and Teleconnections on Wind Energy Resource over on Wind Energy Resource over Europe and its Intermittency Pascal Kriesche* and Adam Schlosser* Abstract In times of increasing importance of wind power in the world's energy mix, this study focuses on a better

291

The estimate of the wind energy potential and insolation  

E-Print Network (OSTI)

The concise letter points out that the estimates of the global potential of wind power exceeds the amount of kinetic energy in the relevant layer of atmosphere by far more than an order of magnitude. Originally submitted to the Letters section of the Proceedings of the National Academy of Sciences in August 2009.

Aoki, Kenichiro

2009-01-01T23:59:59.000Z

292

Development and Validation of High-Resolution State Wind Resource Maps for the United States (Poster)  

DOE Green Energy (OSTI)

A poster presentation for AWEA's WindPower 2005 conference in Denver, Colorado, May 15 -18, 2005 that provides an outline of the approach and process used for validating U.S. wind resource maps.

Elliott, D.; Schwartz, M.

2005-05-01T23:59:59.000Z

293

Development and Validation of High-Resolution State Wind Resource Maps for the United States (Poster)  

SciTech Connect

A poster presentation for AWEA's WindPower 2005 conference in Denver, Colorado, May 15 -18, 2005 that provides an outline of the approach and process used for validating U.S. wind resource maps.

Elliott, D.; Schwartz, M.

2005-05-01T23:59:59.000Z

294

China Resources Wind Power Development Co Ltd Hua Run | Open Energy  

Open Energy Info (EERE)

Hua Run Hua Run Jump to: navigation, search Name China Resources Wind Power Development Co Ltd (Hua Run) Place Shantou, Guangdong Province, China Zip 515041 Sector Wind energy Product A company engages in developing wind power project. References China Resources Wind Power Development Co Ltd (Hua Run)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. China Resources Wind Power Development Co Ltd (Hua Run) is a company located in Shantou, Guangdong Province, China . References ↑ "China Resources Wind Power Development Co Ltd (Hua Run)" Retrieved from "http://en.openei.org/w/index.php?title=China_Resources_Wind_Power_Development_Co_Ltd_Hua_Run&oldid=343528

295

DOE provides detailed offshore wind resource maps - Today in ...  

U.S. Energy Information Administration (EIA)

Includes hydropower, solar, wind, geothermal, biomass and ethanol. ... Wind energy potential is broken down by wind speed, water depth, and distance from shore.

296

Empirical-Statistical Method to Estimate the Surface Wind Speed over Complex Terrain  

Science Conference Proceedings (OSTI)

An empirical-statistical method to estimate surface wind speed over complex terrain under strong wind condition is proposed. This method is based on the postulation that the surface wind speed depends on a surface roughness parameter and a ...

Hiromi Yamazawa; Junsei Kondo

1989-09-01T23:59:59.000Z

297

Error Estimates for Ocean Surface Winds: Applying Desroziers Diagnostics to the Cross-Calibrated, Multiplatform Analysis of Wind Speed  

Science Conference Proceedings (OSTI)

The Desroziers diagnostics (DD) are applied to the cross-calibrated, multi-platform (CCMP) ocean surface wind data sets to estimate wind speed errors of the ECMWF background, the microwave satellite observations and the resulting CCMP analysis. ...

Ross N. Hoffman; Joseph V. Ardizzone; S. Mark Leidner; Deborah K. Smith; Robert Atlas

298

Modelling renewable electric resources: A case study of wind  

DOE Green Energy (OSTI)

The central issue facing renewables in the integrated resource planning process is the appropriate assessment of the value of renewables to utility systems. This includes their impact on both energy and capacity costs (avoided costs), and on emissions and environmental impacts, taking account of the reliability, system characteristics, interactions (in dispatch), seasonality, and other characteristics and costs of the technologies. These are system-specific considerations whose relationships may have some generic implications. In this report, we focus on the reliability contribution of wind electric generating systems, measured as the amount of fossil capacity they can displace while meeting the system reliability criterion. We examine this issue for a case study system at different wind characteristics and penetration, for different years, with different system characteristics, and with different modelling techniques. In an accompanying analysis we also examine the economics of wind electric generation, as well as its emissions and social costs, for the case study system. This report was undertaken for the {open_quotes}Innovative IRP{close_quotes} program of the U.S. Department of Energy, and is based on work by both Union of Concerned Scientists (UCS) and Tellus Institute, including America`s Energy Choices and the UCS Midwest Renewables Project.

Bernow, S.; Biewald, B.; Hall, J.; Singh, D. [Tellus Institute, Boston, MA (United States)

1994-07-01T23:59:59.000Z

299

Estimating the Value of Electricity Storage Resources in Electricity  

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

Estimating the Value of Electricity Storage Resources in Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The purpose of this report is to assist the U.S. Department of Energy (DOE) in 1) establishing a framework for understanding the role electricity storage resources (storage) can play in wholesale and retail electricity markets, 2) assessing the value of electricity storage in a variety of regions or markets, 3) analyzing current and potential issues that can affect the valuation of storage by investors at the wholesale and retail level, and 4) identifying areas for future research and development for electricity storage technologies and applications. EAC - Estimating the Value of Electricity Storage Resources in Electricity

300

Estimating the Value of Electricity Storage Resources in Electricity  

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

Estimating the Value of Electricity Storage Resources in Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The purpose of this report is to assist the U.S. Department of Energy (DOE) in 1) establishing a framework for understanding the role electricity storage resources (storage) can play in wholesale and retail electricity markets, 2) assessing the value of electricity storage in a variety of regions or markets, 3) analyzing current and potential issues that can affect the valuation of storage by investors at the wholesale and retail level, and 4) identifying areas for future research and development for electricity storage technologies and applications. EAC - Estimating the Value of Electricity Storage Resources in Electricity

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


301

Wind Shear and Resources at Elevated Heights: Indiana and Iowa Case Studies (Poster)  

DOE Green Energy (OSTI)

This poster discusses the results of an analysis of wind shear and resource characteristics data collected by tall towers in Indiana and Iowa.

Elliott, D.; Schwartz, M.; Scott, G.

2008-06-01T23:59:59.000Z

302

Continental U.S. State Wind Resource Potential Tables (RDF Transformat...  

Open Energy Info (EERE)

Continental U.S. State Wind Resource Potential Tables (RDF Transformation) Submitted by Woodjr on Fri, 02042011 - 14:19 A linked data (RDF) transformation of the...

303

UNEP/DTIE Solar and Wind Energy Resource Assessment (SWERA) Project  

Open Energy Info (EERE)

b>  This project will provide solar and wind resource data and geographic information assessment tools to public and private sector executives who are involved in energy...

304

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.

305

Technical Report - Cuba Wind Energy Resource Assessment | OpenEI  

Open Energy Info (EERE)

Cuba Wind Energy Resource Assessment Cuba Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for Cuba. (Purpose): To provide information on the wind resource potential within Cuba. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords Cuba documentation GIS NREL SWERA UNEP wind Data application/pdf icon Download Report (pdf, 54.3 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Other or unspecified, see optional comment below Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

306

Technical Report - Ghana Wind Energy Resource Assessment | OpenEI  

Open Energy Info (EERE)

Ghana Wind Energy Resource Assessment Ghana Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for Ghana. (Purpose): To provide information on the wind resource potential within Ghana. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords documentation GEF Ghana GIS NREL SWERA UNEP wind Data application/pdf icon Download Report (pdf, 54.3 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

307

Technical Report - Sri Lanka and the Maldives Wind Energy Resource  

Open Energy Info (EERE)

Sri Lanka and the Maldives Wind Energy Resource Sri Lanka and the Maldives Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for Sri Lanka and the Maldives. (Purpose): To provide information on the wind resource potential within Sri Lanka and the Maldives. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords documentation GEF GIS Maldives NREL Sri Lanka SWERA UNEP wind Data application/pdf icon Download Report (pdf, 30.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

308

Technical Report - China Wind Energy Resource Assessment | OpenEI  

Open Energy Info (EERE)

China Wind Energy Resource Assessment China Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for China. (Purpose): To provide information on the wind resource potential within China. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords China documentation GIS NREL SWERA UNEP wind Data application/pdf icon Download Report (pdf, 124.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006 License License Other or unspecified, see optional comment below Comment Restrictions to use (Use Constraints): This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Midwest Research Institute for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

309

Objective Estimation of Tropical Cyclone Wind Structure from Infrared Satellite Data  

Science Conference Proceedings (OSTI)

Geostationary infrared (IR) satellite data are used to provide estimates of the symmetric and total low-level wind fields in tropical cyclones, constructed from estimations of an azimuthally averaged radius of maximum wind (RMAX), a symmetric ...

Kimberly J. Mueller; Mark DeMaria; John Knaff; James P. Kossin; Thomas H. Vonder Haar

2006-12-01T23:59:59.000Z

310

Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint  

DOE Green Energy (OSTI)

The total inertia stored in all rotating masses that are connected to power systems, such as synchronous generations and induction motors, is an essential force that keeps the system stable after disturbances. To ensure bulk power system stability, there is a need to estimate the equivalent inertia available from a renewable generation plant. An equivalent inertia constant analogous to that of conventional rotating machines can be used to provide a readily understandable metric. This paper explores a method that utilizes synchrophasor measurements to estimate the equivalent inertia that a wind plant provides to the system.

Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.

2013-05-01T23:59:59.000Z

311

Wind Energy Resource Atlas of the Dominican Republic  

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

October 2001 * NREL/TP-500-27602 October 2001 * NREL/TP-500-27602 Wind Energy Resource Atlas of the Dominican Republic D. Elliott M. Schwartz R. George S. Haymes D. Heimiller G. Scott National Renewable Energy Laboratory J. Kline RAM Associates Prepared under Task Nos. WER11050 and DO059999 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial

312

Revealing the Impact of Climate Variability on the Wind Resource Using Data Mining Techniques (Poster)  

DOE Green Energy (OSTI)

A data mining technique called 'k-means clustering' can be used to group winds at the NWTC into 4 major clusters. The frequency of some winds in the clusters is correlated with regional pressure gradients and climate indices. The technique could also be applied to wind resource assessment and selecting scenarios for flow modeling.

Clifton, A.; Lundquist, J.

2011-12-01T23:59:59.000Z

313

A PRODUCTION SIMULATION TOOL FOR SYSTEMS WITH INTEGRATED WIND ENERGY RESOURCES  

E-Print Network (OSTI)

A PRODUCTION SIMULATION TOOL FOR SYSTEMS WITH INTEGRATED WIND ENERGY RESOURCES BY NICOLAS BENOIT the energy output of a wind farm in a single location and of those in multiple locations. In this way, we for such planning tools. The incorporation of the wind energy model requires the extension of the widely used

Gross, George

314

NREL GIS Data: New York High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

New York High Resolution Wind Resource New York High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for New York at a 50 meter height. Purpose: Provide information on the wind resource development potential in New York. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 18, datum WGS 84 projection system. Other_Citation_Details: This map has been validated with available surface data by NREL and wind energy meteorological consultants. Source National Renewable Energy Laboratory (NREL) Date Released November 30th, 2003 (10 years ago)

315

File:Sri Lanka Wind Resource Map.pdf | Open Energy Information  

Open Energy Info (EERE)

Sri Lanka Wind Resource Map.pdf Sri Lanka Wind Resource Map.pdf Jump to: navigation, search File File history File usage Sri Lanka Wind Resource Map Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 1.85 MB, MIME type: application/pdf) This map was produced by NREL with technical assistance from TrueWind Solutions and with funding from the U.S. Agency for International Development. Description Sri Lanka Wind Resource Map Sources National Renewable Energy Laboratory Authors Donna Heimiller Related Technologies Wind Creation Date 2004-06 Extent International Countries Sri Lanka UN Region Southern Asia File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

316

DOE provides detailed onshore wind resource map - Today in Energy ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... solar, wind, geothermal, ... Puerto Rico and the U.S. Virgin Islands do not have 80-meter wind maps available but have 50-meter ...

317

DOE provides detailed onshore wind resource map - Today in Energy ...  

U.S. Energy Information Administration (EIA)

... electric power plant emissions. Highlights ... Puerto Rico and the U.S. Virgin Islands do not have 80-meter wind maps available but have 50-meter wind maps.

318

The estimation of wind pressures at ventilation inlets and outlets on buildings  

Science Conference Proceedings (OSTI)

Two example calculations illustrate the application of information provided in chapter 14 of the 1989 ASHRAE Fundamentals to the estimation of wind pressures at ventilation inlets and outlets on the exteriors of buildings. Wind pressures are calculated using the local estimated reference mean wind speeds at the building site and pressure coefficients selected from figures provided in Chapter 14 of the handbook. Calculations include estimation of wind speeds at building sites located significant distance from airport weather data recording stations in a variety of terrains using the power law mean wind speed profile equation. Wind frequency data are used to calculate the relative probability of occurrence of wind speed and direction events. Wind tunnel studies are recommended as the best source of wind pressure coefficients for applications where consequences of wind effects could be critical.

Aynsley, R.M (Georgia Inst. of Technology, Atlanta, GA (US))

1989-01-01T23:59:59.000Z

319

Validation of regional wind resource predictions in the Northern Great Plains  

DOE Green Energy (OSTI)

The development and validation of computerized wind mapping tools for regional assessment purposes is an important step in accelerating wind energy deployment. This paper summarizes the results of a validation study of the automated wind resource mapping technique developed at the National Renewable Energy Laboratory (NREL). This technique uses Geographic Information System (GIS) software and produces high horizontal resolution (1 km) wind resource maps. The automated wind maps have been used to help plan wind measurement programs and to define potential areas for wind energy projects in countries such as Mexico, Chile, Indonesia, and China. The authors chose a US location for this project to test the accuracy of the automated mapping technique in a region where the wind resource distribution was already fairly well known. The Buffalo Ridge region of the Northern Great Plains served as the subject area. The study area covered northwestern Iowa, southwestern Minnesota, and adjacent parts of South Dakota and Nebraska. This area had several advantages for use in a validation study. First, this area has active wind energy development and the results would be of interest to the wind energy community. Second, a validation data set would be fairly easy to derive because recent wind measurements were taken in that region specifically for wind energy purposes. These data were publicly available and easily obtained. Finally, the relatively simple terrain in that region enabled this study to be completed in a timely manner.

Elliott, D.; Schwartz, M.

1998-08-01T23:59:59.000Z

320

Wind energy resource atlas. Volume 12. Puerto Rico and US Virgin Islands  

DOE Green Energy (OSTI)

The Puerto Rico/US Virgin Island atlas assimilates three collections of wind resource data: one for the region as a whole and one each for both the Commonwealth of Puerto Rico and the US Virgin Islands. For the two subregions, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in both subregions are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction and duration frequencies of the wind at these locations.

Wegley, H.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1981-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind resource estimates" 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

Wind energy resource atlas. Volume 8. The southern Rocky Mountain region  

DOE Green Energy (OSTI)

The Southern Rocky Mountain atlas assimilates five collections of wind resource data: one for the region and one for each of the four states that compose the Southern Rocky Mountain region (Arizona, Colorado, New Mexico, and Utah). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

Andersen, S.R.; Freeman, D.L.; Hadley, D.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1981-03-01T23:59:59.000Z

322

Technical Report - Central America Wind Energy Resource Assessment | OpenEI  

Open Energy Info (EERE)

Central America Wind Energy Resource Assessment Central America Wind Energy Resource Assessment Dataset Summary Description (Abstract): This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for the region of Central America that includes the countries of Belize, El Salvador, Guatemala, Honduras, and Nicaragua. (Purpose): To provide information on the wind resource potential within the following countries in Central America: Belize, El Salvador, Guatemala, Honduras, and Nicaragua. Source NREL Date Released August 21st, 2006 (8 years ago) Date Updated August 21st, 2006 (8 years ago) Keywords Central America documentation GEF NREL SWERA UNEP wind Data application/pdf icon Download Report (pdf, 60.9 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

323

Measurement strategies for estimating long-term average wind speeds  

DOE Green Energy (OSTI)

The uncertainty and bias in estimates of long-term average wind speeds inherent in continuous and intermittent measurement strategies are examined by simulating the application of the strategies to 40 data sets. Continuous strategies have smaller uncertainties for fixed duration measurement programs, but intermittent strategies make more efficient use of instruments and have smaller uncertainties for a fixed amount of instrument use. Continuous strategies tend to give biased estimates of the long-term annual mean speed unless an integral number of years' data is collected or the measurement program exceeds 3 years in duration. Intermittent strategies with three or more month-long measurement periods per year do not show any tendency toward bias.

Ramsdell, J.V.; Houston, S.; Wegley, H.L.

1980-10-01T23:59:59.000Z

324

High Wind Penetration Impact on U.S. Wind Manufacturing Capacity and Critical Resources  

DOE Green Energy (OSTI)

This study used two different models to analyze a number of alternative scenarios of annual wind power capacity expansion to better understand the impacts of high levels of wind generated electricity production on wind energy manufacturing and installation rates.

Laxson, A.; Hand, M. M.; Blair, N.

2006-10-01T23:59:59.000Z

325

Comparison of the Global Meridional Ekman Heat Flux Estimated from Four Wind Sources  

Science Conference Proceedings (OSTI)

The variability in the meridional Ekman heat flux estimated using wind data from four different sources is examined. The wind vectors are obtained from the European Remote Sensing (ERS), Quick Scatterometer (Quikscat), and Special Sensor ...

Olga T. Sato; Paulo S. Polito

2005-01-01T23:59:59.000Z

326

The Use of the Weibull Three-Parameter Model for Estimating Mean Wind Power Densities  

Science Conference Proceedings (OSTI)

The Weibull three-parameter model is discussed for estimation of mean wind power densities. This probability density function is a generalization of a number of more conventional density functions. Using wind speed observations, it is shown that ...

L. Van Der Auwera; F. De Meyer; L. M. Malet

1980-07-01T23:59:59.000Z

327

Wind and Solar Resource Assessment of Sri Lanka and the Maldives (CD-ROM)  

DOE Green Energy (OSTI)

The Wind and Solar Resource Assessment of Sri Lanka and the Maldives CD contains an electronic version of Wind Energy Resource Atlas of Sri Lanka and the Maldives (NREL/TP-500-34518), Solar Resource Assessment for Sri Lanka and the Maldives (NREL/TO-710-34645), Sri Lanka Wind Farm Analysis and Site Selection Assistance (NREL/SR-500-34646), GIS Data Viewer (software and data files with a readme file), and Hourly Solar and Typical Meteorological Year Data with a readme file.

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

2003-08-01T23:59:59.000Z

328

NREL GIS Data: Alaska High Resolution Wind Resource Annual average...  

Open Energy Info (EERE)

were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering AmericaNREL. This map has been validated with...

329

Estimation of wind characteristics at potential wind energy conversion sites. Volume 2. Appendices  

DOE Green Energy (OSTI)

Data are presented concerning climatology development methodology programs; dual station wind correlation analyses; and the candidate site wind climatologies.

Howard, S. M.; Chen, P. C.

1978-03-01T23:59:59.000Z

330

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

E-Print Network (OSTI)

Assessment of Potential for Wind Farms in India, RenewableNetworks for Offshore Wind Farms, Bremen, Germany, 14-15Assessment of Potential for Wind Farms in India, Renewable

Phadke, Amol

2012-01-01T23:59:59.000Z

331

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

E-Print Network (OSTI)

of Potential for Wind Farms in India, Renewable Energy (Report http://ies.lbl.gov/India_Wind_Potential Disclaimeron-shore wind potential in India at three different hub-

Phadke, Amol

2012-01-01T23:59:59.000Z

332

Wind Power Technology Status and Performance and Cost Estimates - 2008  

Science Conference Proceedings (OSTI)

This report addresses the status of wind turbine and related technology for both onshore and offshore applications, and the performance and cost of onshore wind power plants. It also presents a sample analysis of wind project financial performance.

2008-12-15T23:59:59.000Z

333

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

E-Print Network (OSTI)

analysis. Further, turbines with higher rotor diameter havethe wind turbine, the average hub-height and rotor diameterand larger rotor diameters allows wind turbines to sweep

Phadke, Amol

2012-01-01T23:59:59.000Z

334

Wind resource characterization results to support the Sandia Wind Farm Feasibility Study : August 2008 through March 2009.  

DOE Green Energy (OSTI)

Sandia National Laboratories Wind Technology Department is investigating the feasibility of using local wind resources to meet the requirements of Executive Order 13423 and DOE Order 430.2B. These Orders, along with the DOE TEAM initiative, identify the use of on-site renewable energy projects to meet specified renewable energy goals over the next 3 to 5 years. A temporary 30-meter meteorological tower was used to perform interim monitoring while the National Environmental Policy Act (NEPA) process for the larger Wind Feasibility Project ensued. This report presents the analysis of the data collected from the 30-meter meteorological tower.

Deola, Regina Anne

2010-01-01T23:59:59.000Z

335

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

336

NREL GIS Data: Illinois High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

Illinois High Resolution Wind Resource Illinois High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential of Illinois at a 50 meter height. Purpose: Provide information on the wind resource development potential within Illinois. Supplemental_Information: This data set was produced and validated by NREL using their WRAM model. This shapefile was generated from a raster dataset with a 1000 m resolution, in a Transverse Mercator projection with the following parameters: Projection: TRANSVERSE Zunits NO Units METERS Spheroid CLARKE1866 Xshift 0.0000000000 Yshift 0.0000000000 Parameters 1.00000000 /* scale factor at central meridian -89 30 0.000 /* longitude of central meridian 39 45 0.000 /* latitude of origin 0.00000 /* false easting (meters) 0.00000 /* false northing (meters)

337

Wind Energy Resource Atlas. Volume 11. Hawaii and Pacific Islands Region  

DOE Green Energy (OSTI)

This atlas of the wind energy resource is composed of introductory and background information, and assessments of the wind resource in each division of the region. Background on how the wind resource is assessed and on how the results of the assessment should be inerpreted is presented. An introduction and outline to the descriptions of the wind resource for each division are provided. Assessments for individual divisions are presented as separate chapters. Much of the information in the division chapters is given in graphic or tabular form. The sequences for each chapter are similar, but some presentations used for Hawaii are inappropriate or impractical for presentation with the Pacific Islands. Hawaii chapter figure and tables are cited below and appropriate Pacific Islands figure and table numbers are included in brackets ().

Schroeder, T.A.; Hori, A.M.; Elliott, D.L.; Barchet, W.R.; George, R.L.

1981-02-01T23:59:59.000Z

338

Characterization of Wind Power Resource in the United States and its Intermittency  

E-Print Network (OSTI)

Wind resource in the continental and offshore United States has been reconstructed and characterized using metrics that describe, apart from abundance, its availability, persistence and intermittency. The Modern Era ...

Gunturu, U.B.

339

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

340

Estimating wind energy using extrapolated data of Cameron highlands  

Science Conference Proceedings (OSTI)

Wind energy is an alternative clean energy source compared to fossil fuel, which can be harmful and pollutes the layer of the atmosphere. Recently, wind energy is given a lot of attention because of the focus on renewable energy all over the world. Apart ... Keywords: data extrapolation technique, wind energy, wind speed

Siti Khadijah Najid; Ahmad Mahir Razali; Kamaruzaman Ibrahim; Kamaruzzaman Sopian; Azami Zaharim

2011-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind resource estimates" 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

Techniques for assessing the wind energy resource in the North Central region  

SciTech Connect

The US Department of Energy has sponsored the development of regional wind energy resource atlases for twelve regions of the United States. The North Central Region, which consists of North Dakota, South Dakota, Nebraska, Minnesota, and Iowa, was one of the regions for which an atlas was assembled. This report is a description of observational and analytical techniques used in the development of the North Central region's wind energy resource atlas.

Freeman, D.L.

1981-03-01T23:59:59.000Z

342

NREL GIS Data: Texas High Resolution Wind Resource Abstract...  

Open Energy Info (EERE)

potential within the state of Texas.

SupplementalInformation: This data set has been validated by NREL and wind energy meteorological consultants. However, the...

343

NREL GIS Data: South Carolina High Resolution Wind Resource  

Open Energy Info (EERE)

within the state of South Carolina.

SupplementalInformation: This data set has been validated by NREL and wind energy meteorological consultants. However, the...

344

NREL GIS Data: Hawaii High Resolution Wind Resource Abstract...  

Open Energy Info (EERE)

potential within the state of Hawaii.

SupplementalInformation: This data set has been validated by NREL and wind energy meteorological consultants. However, the...

345

NREL GIS Data: Wisconsin High Resolution Wind Resource Abstract...  

Open Energy Info (EERE)

development potential in Wisconsin.

SupplementalInformation: This data set has been validated by NREL and wind energy meteorological consultants. However, the...

346

NREL GIS Data: Iowa High Resolution Wind Resource Abstract...  

Open Energy Info (EERE)

SupplementalInformation: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting...

347

NREL GIS Data: New York High Resolution Wind Resource Abstract...  

Open Energy Info (EERE)

SupplementalInformation: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting...

348

Solar and Wind Energy Resource Assessment - Kenya Country Report  

Open Energy Info (EERE)

- Kenya Country Report (Abstract):  The Kenya Country Report describes the energy situation in Kenys and identifies solar and wind energy opportunities.
...

349

DOE provides detailed offshore wind resource maps - Today in ...  

U.S. Energy Information Administration (EIA)

Offshore wind turbines, however, are costlier, take longer to build, and are more challenging to maintain. The United States does not currently have any operating, ...

350

DOE Hydrogen Program Record 5011 - Hydrogen Potential from Solar and Wind Resources  

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

DOE Hydrogen Program Record Record #: 5011 Date: December 15, 2005 Title: Hydrogen Potential from Solar and Wind Resources Items: - Data/resource maps indicate that the potential exists to use wind and solar resources to produce more than 15 times the amount of hydrogen needed to displace the petroleum used by light duty vehicles in 2040. - About one billion metric tons of hydrogen could be produced by renewable electrolysis annually, based upon solar and wind resource potential. - The other three solar pathways - thermochemical, photoelectrochemical, and photobiological - would have similar or possibly higher productivity per unit of land area. Data: Figure 1: Hydrogen Potential from Solar Resources Note: Map shows total kilograms of hydrogen per county, normalized by

351

Assessment of the Southern New England Offshore Wind Energy Resource James F. Manwell, Anthony Rogers, Jon G. McGowan  

E-Print Network (OSTI)

1 Assessment of the Southern New England Offshore Wind Energy Resource James F. Manwell, Anthony of the wind energy resource off the coast of southern New England. This work is being undertaken to determine the potential for the near term development of offshore wind energy projects in that region. The work summarized

Massachusetts at Amherst, University of

352

Offshore Wind Turbines Estimated Noise from Offshore Wind Turbine, Monhegan Island, Maine Addendum 2  

SciTech Connect

Additional modeling for offshore wind turbines, for proposed floating wind platforms to be deployed by University of Maine/DeepCwind.

Aker, Pamela M.; Jones, Anthony M.; Copping, Andrea E.

2011-03-01T23:59:59.000Z

353

NREL Study Finds U.S. Wind Energy Potential Triples Previous Estimates (Fact Sheet)  

DOE Green Energy (OSTI)

The maximum potential to generate wind power in the contiguous United States is more than three times greater than previously estimated, according to a National Renewable Energy Laboratory (NREL) study. The new analysis is based on the latest computer models and examines the wind potential at wind turbine hub heights of 80 meters and 100 meters. These hub heights, which reflect current and future models of wind turbines, are higher than those used in previous national estimates and are mainly responsible for the increased wind potential in the study.

Not Available

2011-02-01T23:59:59.000Z

354

NREL's Wind Powering America Team Helps Indiana Develop Wind Resources (Fact Sheet)  

SciTech Connect

How does a state advance, in just five years, from having no installed wind capacity to having more than 1000 megawatts (MW) of installed capacity? The Wind Powering America (WPA) initiative, based at the National Renewable Energy Laboratory (NREL), employs a state-focused approach that has helped accelerate wind energy deployment in many states. One such state is Indiana, which is now home to the largest wind plant east of the Mississippi.

2010-10-01T23:59:59.000Z

355

A SUMMARY OF TERTIARY COAL RESOURCES OF THE WIND RIVER BASIN, WYOMING  

E-Print Network (OSTI)

Chapter SW A SUMMARY OF TERTIARY COAL RESOURCES OF THE WIND RIVER BASIN, WYOMING By R.M. Flores of selected Tertiary coal beds and zones in the Northern RockyMountains and Great Plains region, U Resource assessment of selected Tertiary coal beds and zones in the Northern Rocky Mountains and Great

356

NREL GIS Data: South Carolina High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

646 646 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278646 Varnish cache server NREL GIS Data: South Carolina High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for the state of South Carolina at a 50 meter height. Purpose: Provide information on the wind resource development potential within the state of South Carolina. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a WGS 84 projection system.

357

Toward Objective, Standardized Intensity Estimates from Surface Wind Speed Observations  

Science Conference Proceedings (OSTI)

Extreme wind climatology and event-specific intensity assessments rely heavily on surface wind field observations. The most widely used platforms sited at airports are the Automated Surface Observing System (ASOS) and its predecessor, the ...

Forrest J. Masters; Peter J. Vickery; Phuong Bacon; Edward N. Rappaport

2010-12-01T23:59:59.000Z

358

Estimators for the Standard Deviation of Horizontal Wind Direction  

Science Conference Proceedings (OSTI)

The standard deviation of horizontal wind direction is a central quantity in the description of atmospheric turbulence and of great practical use in dispersion models. As horizontal wind direction is a circular variable, its standard deviation ...

Rudolf O. Weber

1997-10-01T23:59:59.000Z

359

Using ADCP Background Sound Levels to Estimate Wind Speed  

Science Conference Proceedings (OSTI)

It is well known that ambient sound is generated by wind through the process of wave breaking and bubble injection. The resulting sound levels are highly correlated with wind speed and, even though the physical process is not fully understood, ...

Len Zedel

2001-11-01T23:59:59.000Z

360

The Association of Large-Scale Climate Variability and Teleconnections on Wind Energy Resource over Europe and its Intermittency  

E-Print Network (OSTI)

In times of increasing importance of wind power in the world’s energy mix, this study focuses on a better understanding of the influences of large-scale climate variability on wind power resource over Europe. The impact ...

Kriesche, Pascal

Note: This page contains sample records for the topic "wind resource estimates" 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

United States Offshore Wind Resource Map at 90 Meters  

Wind Powering America (EERE)

Offshore Wind Speed at 90 m 10-JAN-2011 1.1.1 Wind Speed at 90 m ms 11.5 - 12.0 11.0 - 11.5 10.5 - 11.0 10.0 - 10.5 9.5 - 10.0 9.0 - 9.5 8.5 - 9.0 8.0 - 8.5 7.5 - 8.0 7.0 - 7.5...

362

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.

363

UNEP/DTIE Solar and Wind Energy Resource Assessment (SWERA) Project  

Open Energy Info (EERE)

UNEP/DTIE Solar and Wind Energy Resource Assessment (SWERA) Project UNEP/DTIE Solar and Wind Energy Resource Assessment (SWERA) Project Document Dataset Summary Description (Abstract): This project will provide solar and wind resource data and geographic information assessment tools to public and private sector executives who are involved in energy market development. It will demonstrate the use of these instruments in investment and policy decision making and build local capacities for their continuous use. The project will enable private investors and public policy makers to assess the technical, economic and environmental potential for large-scale investments in technologies that enable the exploitation of two increasingly important sources of renewable energy. During this pilot project, tools for analysis and use of resource information will be developed, a global tx_metadatatool and review mechanism will be initiated, regional/national solar and wind resource maps generated and national assessment demonstrations performed. The overall goal is to promote the integration of wind and solar alternatives in national and regional energy planning and sector restructuring as well as related policy making. The project will enable informed decision making and enhance the ability of participating governments to attract increased investor interest in renewable energy. Thirteen countries will be directly involved in the pilot stage of the project. Global and regional maps will be available to all developing countries.

364

VAR Support from Distributed Wind Energy Resources: Preprint  

DOE Green Energy (OSTI)

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

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

2004-07-01T23:59:59.000Z

365

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

E-Print Network (OSTI)

Prices for solar projects selected via competitive bidding in India are Rs 11-12/kWh Levelized tariff for wind power

Phadke, Amol

2012-01-01T23:59:59.000Z

366

Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error Paul E. Johnson and David G . Long  

E-Print Network (OSTI)

Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error -Wind I Paul E. Johnson (which relates the wind to the normalized radar cross section, NRCS, of the ocean surface) is uncertainty in the NRCS for given wind conditions. When the estimated variability is in- cluded in the maximum likelihood

Long, David G.

367

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...

368

Development and Validation of High-Resolution State Wind Resource Maps for the United States  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has coordinated the development and validation of high-resolution state wind resource maps for much of the United States. The majority of these maps were produced for NREL by TrueWind Solutions (now AWS Truewind [AWST]) based in Albany, New York, using its proprietary MesoMap system. AWST's system uses a version of a numerical mesoscale weather prediction model as the basis for calculating the wind resource and important wind flow characteristics. The independent validation project was a cooperative activity among NREL, AWST, and private meteorological consultants. This paper describes the mapping and validation approach and results and discusses the technical modeling issues encountered during the project.

Elliott, D.; Schwartz, M.

2005-07-01T23:59:59.000Z

369

Echo-state-network-based real-time wind speed estimation for wind power generation  

Science Conference Proceedings (OSTI)

Wind turbine generators (WTGs) are usually equipped with one or more well-calibrated anemometers to measure wind speed for system monitoring, control, and protection. The use of these mechanical sensors increases the cost and hardware complexity and ...

Wei Qiao

2009-06-01T23:59:59.000Z

370

A Comparison of Winds from the STRATAN Data Assimilation System to Balanced Wind Estimates  

Science Conference Proceedings (OSTI)

Winds derived from a stratospheric and tropospheric data assimilation system (STRATAN) are compared with balance winds derived from National Meteorological Center/Climate Analysis Center (NMC/CAC) heights. At middle latitudes in the lower ...

Lawrence Coy; Richard B. Rood; Paul A. Newman

1994-08-01T23:59:59.000Z

371

Altimeter Estimation of Sea Surface Wind Stress for Light to Moderate Winds  

Science Conference Proceedings (OSTI)

Aircraft altimeter and in situ measurements are used to examine relationships between altimeter backscatter and the magnitude of near-surface wind and friction velocities. Comparison of altimeter radar cross section with wind speed is made ...

Douglas Vandemark; James B. Edson; Bertrand Chapron

1997-06-01T23:59:59.000Z

372

Estimation of Extreme Wind Speeds with Very Long Return Periods  

Science Conference Proceedings (OSTI)

Long series of hourly mean wind speeds and the maximum hourly 3-s gust are simulated for four sites in the British Isles in order to investigate methods for the determination of extreme wind speed events. The simulation is performed using a one-...

M. D. G. Dukes; J. P. Palutikof

1995-09-01T23:59:59.000Z

373

Fuzzy Estimation of DC Motor Winding Currents Innovatia Software  

E-Print Network (OSTI)

in motion, keeping 90 ahead of the rotor °ux. The sta- permanent magnet synchronous motors. It is shown tor. The electrical windings of permanent magnet syn- The motor's winding currents are generally shaped chronous °uxes are experimental data from a motor and ¯ne-tune the aligned, the magnetic ¯elds are in equilibrium

Simon, Dan

374

The Estimation of Wind Turbine Pitch Angle Based on ANN  

Science Conference Proceedings (OSTI)

Variable-speed and constant-frequency (VSCF) pitch-controlled wind turbine is believed to be superior to other types of wind turbine due to its features such as high efficiency and ideal starting and braking performance, Artificial Neural Networks (ANN) ... Keywords: VSCF, ANN, pitch angle, Pitch-controlled system

Yanping Liu; Shuhong Liu; Hongmei Guo; Huajun Wang

2009-11-01T23:59:59.000Z

375

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

376

Mutual information between geomagnetic indices and the solar wind as seen by WIND - implications for propagation time estimates  

E-Print Network (OSTI)

The determination of delay times of solar wind conditions at the sunward libration point to effects on Earth is investigated using mutual information. This measures the amount of information shared between two timeseries. We consider the mutual information content of solar wind observations, from WIND, and the geomagnetic indices. The success of five commonly used schemes for estimating interplanetary propagation times is examined. Propagation assuming a fixed plane normal at 45 degrees to the GSE x-axis (i.e. the Parker Spiral estimate) is found to give optimal mutual information. The mutual information depends on the point in space chosen as the target for the propagation estimate, and we find that it is maximized by choosing a point in the nightside rather than dayside magnetosphere. In addition, we employ recurrence plot analysis to visualize contributions to the mutual information, this suggests that it appears on timescales of hours rather than minutes.

T. K. March; S. C. Chapman; R. O. Dendy

2005-02-08T23:59:59.000Z

377

Quantifying emissions reductions from New England offshore wind energy resources  

E-Print Network (OSTI)

Access to straightforward yet robust tools to quantify the impact of renewable energy resources on air emissions from fossil fuel power plants is important to governments aiming to improve air quality and reduce greenhouse ...

Berlinski, Michael Peter

2006-01-01T23:59:59.000Z

378

Wind Energy Resource Atlas of Armenia (CD-ROM)  

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

Resource Atlas of Armenia (CD-ROM) http:www.nrel.govdocsfy03osti33877CD.zip (ZIP 31.9 MB) NRELCD-500-33877 July 2003 Instructions: The URL above links to a zipped archive...

379

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

380

NRELs Wind Powering America Team Helps Indiana Develop Wind Resources (Fact Sheet), Innovation: The Spectrum of Clean Energy Innovation, NREL (National Renewable Energy Laboratory)  

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

NREL's Wind Powering NREL's Wind Powering America Team Helps Indiana Develop Wind Resources How does a state advance, in just five years, from having no wind power to having more than 1000 megawatts (MW) of installed capacity? The Wind Powering America (WPA) initiative, based at the National Renewable Energy Laboratory (NREL), employs a state-focused approach that has helped accelerate wind energy deployment in many states. One such state is Indiana, which is now home to the largest wind plant east of the Mississippi. Since 1999, WPA has helped advance technology acceptance and wind energy deployment across the United States through the formation of state wind working groups (WWGs). The WWGs facilitate workshops, manage anemometer loan programs, conduct outreach, and

Note: This page contains sample records for the topic "wind resource estimates" 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

PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN  

E-Print Network (OSTI)

. Veers2 Steven R. Winterstein3 1 Department of Civil Engineering, University of Texas at Austin, Austin, TX 78712 2 Sandia National Laboratories, Wind Energy Technology Department, Albuquerque, NM 87185

Sweetman, Bert

382

AIAA-2001-0047 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE  

E-Print Network (OSTI)

at Austin, Austin, TX 78712 2 Sandia National Laboratories, Wind Energy Technology Department, Albuquerque Corporation, a Lockheed Martin company, for the U.S. Department of Energy under contract DE-AC04-94AL85000

Sweetman, Bert

383

Global Estimates of Extreme Wind Speed and Wave Height  

Science Conference Proceedings (OSTI)

A long-term dataset of satellite altimeter measurements of significant wave height and wind speed, spanning 23 years, is analyzed to determine extreme values corresponding to a 100-yr return period. The analysis considers the suitability of both ...

J. Vinoth; I. R. Young

2011-03-01T23:59:59.000Z

384

Estimating Probabilities of Hurricane Wind Speeds Using a Large-Scale Empirical Model  

Science Conference Proceedings (OSTI)

A new method is presented for estimating the probability of exceeding a given wind speed in 1 year at any given location in the Atlantic tropical cyclone basin. The method is especially appropriate for wind speeds with return periods of 100 years ...

R. W. R. Darling

1991-10-01T23:59:59.000Z

385

The Estimated Global Ocean Wind Power Potential from QuikSCAT Observations, Accounting for Turbine  

E-Print Network (OSTI)

The Estimated Global Ocean Wind Power Potential from QuikSCAT Observations, Accounting for Turbine offshore turbine characteristics including hub height, usable portion of the wind speed distri- bution hemisphere extratropics, respectively, between hub heights of 10 m and 100 m. A turbine with a cut-out speed

Zender, Charles

386

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

387

Development and Application of a Physical Approach to Estimating Wind Gusts  

Science Conference Proceedings (OSTI)

A new wind gust estimate method (denoted WGE method) is proposed. Contrary to most techniques used in operational weather forecasting, the determination of gusts in this approach is fully based on physical considerations. The main motivation for ...

O. Brasseur

2001-01-01T23:59:59.000Z

388

Method for Estimation of Surface Roughness and Similarity Function of Wind Speed Vertical Profile  

Science Conference Proceedings (OSTI)

This study is aimed at identifying and refining a method suitable to estimate the surface roughness length (z0) and the universal similarity function of the wind speed profile (?M) based on ultrasonic anemometer measurements carried out at only ...

Roberto Sozzi; Maurizio Favaron; Teodoro Georgiadis

1998-05-01T23:59:59.000Z

389

Estimating Contemporary and Future Wind-Damage Losses from Hurricanes Affecting Eglin Air Force Base, Florida  

Science Conference Proceedings (OSTI)

The strongest hurricanes over the North Atlantic Ocean are getting stronger, with the increase related to rising ocean temperature. Here, the authors develop a procedure for estimating future wind losses from hurricanes and apply it to Eglin Air ...

James B. Elsner; Shawn W. Lewers; Jill C. Malmstadt; Thomas H. Jagger

2011-07-01T23:59:59.000Z

390

Estimation of Wind-Induced Error of Rainfall Gauge Measurements Using a Numerical Simulation  

Science Conference Proceedings (OSTI)

A new method of estimating the wind-induced error of rainfall gauge measurements is presented. The method is based on a three-dimensional numerical simulation of the airflow around a precipitation gauge and subsequent computation of particle ...

Vladislav Nešpor; Boris Sevruk

1999-04-01T23:59:59.000Z

391

Estimation of Wind Speed Distribution Using Markov Chain Monte Carlo Techniques  

Science Conference Proceedings (OSTI)

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

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

2001-08-01T23:59:59.000Z

392

Validation of Updated State Wind Resource Maps for the United States: Preprint  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has coordinated the validation of updated state wind resource maps for multiple regions of the United States. The purpose of the validation effort is to produce the best map possible within fairly stringent time constraints.

Schwartz, M.; Elliott, D.

2004-07-01T23:59:59.000Z

393

NREL GIS Data: Minnesota High Resolution Wind Resource Abstract...  

Open Energy Info (EERE)

it to power density assuming a Weibull K of 2.0 and using elevation to estimate air density.

OtherCitationDetails: This map has been validated with available...

394

Wind Resource Mapping of the State of Vermont  

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

Resource Mapping of the Resource Mapping of the State of Vermont November 1999 * NREL/CP-500-27507 D. Elliott and M. Schwartz National Renewable Energy Laboratory R. Nierenberg Consulting Meteorologist Presented at Windpower '99 Burlington, Vermont June 20 - 23, 1999 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 NOTICE The submitted manuscript has been offered by an employee of the Midwest Research Institute (MRI), a contractor of the US Government under Contract No. DE-AC36-99GO10337. Accordingly, the US Government and MRI retain a nonexclusive royalty-free license to publish or reproduce the published

395

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

Science Conference Proceedings (OSTI)

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

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

2011-10-10T23:59:59.000Z

396

Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data  

E-Print Network (OSTI)

Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data the contribution from the anticyclonic frequencies dominate the wind energy input. The latitudinal and seasonal variations of the wind energy input to the Ekman layer are closely related to the variations of the wind

Gille, Sarah T.

397

DOE Science Showcase - Wind Power  

Office of Scientific and Technical Information (OSTI)

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

398

Offshore Wind Turbines - Estimated Noise from Offshore Wind Turbine, Monhegan Island, Maine: Environmental Effects of Offshore Wind Energy Development  

SciTech Connect

Deep C Wind, a consortium headed by the University of Maine will test the first U.S. offshore wind platforms in 2012. In advance of final siting and permitting of the test turbines off Monhegan Island, residents of the island off Maine require reassurance that the noise levels from the test turbines will not disturb them. Pacific Northwest National Laboratory, at the request of the University of Maine, and with the support of the U.S. Department of Energy Wind Program, modeled the acoustic output of the planned test turbines.

Aker, Pamela M.; Jones, Anthony M.; Copping, Andrea E.

2010-11-23T23:59:59.000Z

399

A Diagnostic Model for Estimating Winds at Potential Sites for Wind Turbines  

Science Conference Proceedings (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. We have developed a diagnostic model that computes local ...

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

1982-10-01T23:59:59.000Z

400

Revisiting the 'Buy versus Build' Decision for Publicly Owned Utilities in California Considering Wind and Geothermal Resources  

DOE Green Energy (OSTI)

The last two decades have seen a dramatic increase in the market share of independent, nonutility generators (NUGs) relative to traditional, utility-owned generation assets. Accordingly, the ''buy versus build'' decision facing utilities--i.e., whether a utility should sign a power purchase agreement (PPA) with a NUG, or develop and own the generation capacity itself--has gained prominence in the industry. Very little of this debate, however, has focused specifically on publicly owned electric utilities, and with few exceptions, renewable sources of supply have received similarly scant attention. Contrary to historical treatment, however, the buy versus build debate is quite relevant to publicly owned utilities and renewables because publicly owned utilities are able to take advantage of some renewable energy incentives only in a ''buy'' situation, while others accrue only in a ''build'' situation. In particular, possible economic advantages of public utility ownership include: (1) the tax-free status of publicly owned utilities and the availability of low-cost debt, and (2) the renewable energy production incentive (REPI) available only to publicly owned utilities. Possible economic advantages to entering into a PPA with a NUG include: (1) the availability of federal tax credits and accelerated depreciation schedules for certain forms of NUG-owned renewable energy, and (2) the California state production incentives available to NUGs but not utilities. This article looks at a publicly owned utility's decision to buy or build new renewable energy capacity--specifically wind and geothermal power--in California. To examine the economic aspects of this decision, we used a 20-year financial cash-flow model to assess the levelized cost of electricity under four supply options: (1) public utility ownership of new geothermal capacity, (2) public utility ownership of new wind capacity, (3) a PPA for new geothermal capacity, and (4) a PPA for new wind capacity. We focus on wind and geothermal because both resources are abundant and, in some cases, potentially economic in California. Our analysis is not intended to provide precise estimates of the levelized cost of electricity from wind projects and geothermal plants; nor is our intent to compare the levelized costs of wind and geothermal power to one another. Instead, our intent is simply to compare the costs of buying wind or geothermal power to the costs of building and operating wind or geothermal capacity under various scenarios. Of course, the ultimate decision to buy or build cannot and should not rest solely on a comparison of the levelized cost of electricity. Thus, in addition to quantitative analysis, we also include a qualitative discussion of several important features of the ''buy versus build'' decision not reflected in the economic analysis.

Bolinger, Mark; Wiser, Ryan; Golove, William

2001-12-11T23:59:59.000Z

Note: This page contains sample records for the topic "wind resource estimates" 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

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

402

Evaluation of Several “Single-Pass” Estimators of the Mean and the Standard Deviation of Wind Direction  

Science Conference Proceedings (OSTI)

Proposed single-pass methods for estimating the mean (D?) and the standard deviation (?d) of wind direction and other problems in wind statistics have been evaluated using extensive field data. It can be concluded that Mardia's methods for ...

Yukihiro Mori

1986-10-01T23:59:59.000Z

403

Estimating Downburst-Related Maximum Surface Wind Speeds by Means of Proximity Soundings in New South Wales, Australia  

Science Conference Proceedings (OSTI)

A regional climatology of strong wind gusts associated with thunderstorms is presented, and the ability to estimate gust strength from ambient conditions is tested. Strong wind events were selected for 10 stations in New South Wales, Australia, ...

Bart Geerts

2001-04-01T23:59:59.000Z

404

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

405

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...

406

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...

407

On the Virialization of Disk Winds: Implications for the Black Hole Mass Estimates in AGN  

E-Print Network (OSTI)

[abbreviated] Estimating the mass of a supermassive black hole (SMBH) in an active galactic nucleus (AGN) usually relies on the assumption that the broad line region (BLR) is virialized. However, this assumption seems invalid in BLR models that consists of an accretion disk and its wind. The disk is likely Keplerian and therefore virialized. However, the wind material must, beyond a certain point, be dominated by an outward force that is stronger than gravity. Here, we analyze hydrodynamic simulations of four different disk winds: an isothermal wind, a thermal wind from an X-ray heated disk, and two line-driven winds, one with and the other without X-ray heating and cooling. For each model, we check whether gravity governs the flow properties, by computing and analyzing the volume-integrated quantities that appear in the virial theorem: internal, kinetic, and gravitational energies, We find that in the first two models, the winds are non-virialized whereas the two line-driven disk winds are virialized up to a...

Kashi, Amit; Nagamine, Kentaro; Greene, Jenny; Barth, Aaron J

2013-01-01T23:59:59.000Z

408

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

SciTech Connect

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

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

2004-01-01T23:59:59.000Z

409

Wind resource assessment handbook: Fundamentals for conducting a successful monitoring program  

Science Conference Proceedings (OSTI)

This handbook presents industry-accepted guidelines for planning and conducting a wind resource measurement program to support a wind energy feasibility initiative. These guidelines, which are detailed and highly technical, emphasize the tasks of selecting, installing, and operating wind measurement equipment, as well as collecting and analyzing the associated data, once one or more measurement sites are located. The handbook's scope encompasses state-of-the-art measurement and analysis techniques at multiple heights on tall towers (e.g., 40 m) for a measurement duration of at least one year. These guidelines do not represent every possible method of conducting a quality wind measurement program, but they address the most important elements based on field-proven experience. The intended audience for this handbook is any organization or individual who desires the planning framework and detailed procedures for conducting a formally structured wind measurement program. Personnel from the management level to field technicians will find this material applicable. The organizational aspects of a measurement program, including the setting of clear program objectives and designing commensurate measurement and quality assurance plans, all of which are essential to ensuring the program's successful outcome, are emphasized. Considerable attention is also given to the details of actually conducting the measurement program in its many aspects, from selecting instrumentation that meets minimum performance standards to analyzing and reporting on the collected data. 5 figs., 15 tabs.

Bailey, B.H.; McDonald, S.L.; Bernadett, D.W.; Markus, M.J.; Elsholz, K.V. [AWS Scientific, Inc., Albany, NY (US)

1997-04-01T23:59:59.000Z

410

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

411

Estimating resource costs of data-intensive workloads in public clouds  

Science Conference Proceedings (OSTI)

The promise of "infinite" resources given by the cloud computing paradigm has led to recent interest in exploiting clouds for large-scale data-intensive computing. In this paper, we present a model to estimate the resource costs for executing data-intensive ... Keywords: cloud computing, cost model, resource provisioning

Rizwan Mian; Patrick Martin; Farhana Zulkernine; Jose Luis Vazquez-Poletti

2012-12-01T23:59:59.000Z

412

A New Method for Estimating Tropical Cyclone Wind Speed Probabilities  

Science Conference Proceedings (OSTI)

The National Hurricane Center (NHC) Hurricane Probability Program (HPP) was implemented in 1983 to estimate the probability that the center of a tropical cyclone would pass within 60 n mi of a set of specified points out to 72 h. Other than ...

Mark DeMaria; John A. Knaff; Richard Knabb; Chris Lauer; Charles R. Sampson; Robert T. DeMaria

2009-12-01T23:59:59.000Z

413

Impact of software resource estimation research on practice: a preliminary report on achievements, synergies, and challenges  

Science Conference Proceedings (OSTI)

This paper is a contribution to the Impact Project in the area of software resource estimation. The objective of the Impact Project has been to analyze the impact of software engineering research investments on software engineering practice. The paper ... Keywords: impact project, software resource estimation

Barry Boehm; Ricardo Valerdi

2011-05-01T23:59:59.000Z

414

Wind Energy Assessment and Visualization Laboratory Extra-Tall Tower Wind Resource Assessment: Icing Rules and Trends in the Data.  

E-Print Network (OSTI)

??This study describes the results of the measurement campaign for the Wind Energy Assessment and Visualization Laboratory (WEAV) wind feasibility study in Athens, OH. A… (more)

Harris, James C.

2012-01-01T23:59:59.000Z

415

Development of Regional Wind Resource and Wind Plant Output Datasets: Final Subcontract Report, 15 October 2007 - 15 March 2009  

DOE Green Energy (OSTI)

This report describes the development of the necessary and needed wind and solar datasets used in the Western Wind and Solar Integration Study (WWSIS).

3TIER, Seattle, Washington

2010-03-01T23:59:59.000Z

416

The Use of Reanalysis Data for Wind Resource Assessment at the National Renewable Energy Laboratory  

DOE Green Energy (OSTI)

An important component of the National Renewable Energy Laboratory wind resource assessment methodology is the use of available upper-air data to construct detailed vertical profiles for a study region. Currently, the most useful upper-air data for this type of analysis are archived observations from approximately 1800 rawinsonde and pilot balloon stations worldwide. However, significant uncertainty exists in the accuracy of the constructed profiles for many regions. The United States Reanalysis Data Set, recently created by the National Center for Atmospheric Research and the National Centers for Environmental Prediction, has the potential to improve the quality of the vertical profiles. The initial evaluation of the usefulness of the Reanalysis data for wind resource assessment consisted of contrasting reanalysis-derived vertical profiles of the wind characteristics to those generated from upper-air observations for comparable locations. The results indicate that, while reanalysis data can be substituted for upper-air observation data in the assessment methodology for areas of the world where observation data are limited, enough discrepancies with observation data have been noticed to warrant further studies.

Schwartz, M.; George, R.; Elliott, D.

1999-04-07T23:59:59.000Z

417

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

418

The Estimation of Wind-Wave Generation in a Discrete Spectral Model  

Science Conference Proceedings (OSTI)

The estimation of wind-wave generation using a new discrete spectral model is compared to Hasselmann et al.'s (1976) parametric model and to models driven primarily by direct transfer of energy from the atmosphere into the surface waves. The main ...

Donald T. Resio

1981-04-01T23:59:59.000Z

419

Methods for Estimating the Mean and the Standard Deviation of Wind Direction  

Science Conference Proceedings (OSTI)

In a recent paid, the author reviewed methods for estimating the mean and the standard deviation of wind direction. Some comments on this subject are now added. If large sporadic eddy fluctuations do not occur in a sampling duration, we can ...

Yukihiro Mori

1987-09-01T23:59:59.000Z

420

Errors in Wind Measurements Estimated by Five-Beam Phased Array Doppler Sodar  

Science Conference Proceedings (OSTI)

Estimation of the errors in sodar wind measurements using the phased array Doppler sodar operated under five-beam observation has been made. When compared with the sonic anemometer on the tower nearby, the variances or second-order moments of ...

Yoshiki Ito

1997-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind resource estimates" 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

A Study on Optimum Tilt Angle for Wind Estimation Using Indian MST Radar  

Science Conference Proceedings (OSTI)

The effect of tilt angle on horizontal wind estimation is studied using Indian mesosphere–stratosphere–troposphere (MST) radar located at Gadanki (13.45°N, 79.18°E). It operates in Doppler beam swinging (DBS) mode with a beamwidth of 3°. ...

V. K. Anandan; I. Srinivasa Rao; P. Narasimha Reddy

2008-09-01T23:59:59.000Z

422

Analysis of WRF Model Wind Estimate Sensitivity to Physics Parameterization Choice and Terrain Representation in Andalusia (Southern Spain)  

Science Conference Proceedings (OSTI)

This paper reports on an evaluation of the relative roles of choice of parameterization scheme and terrain representation in the Weather Research and Forecasting (WRF) mesoscale model, in the context of a regional wind resource assessment. As a ...

F. J. Santos-Alamillos; D. Pozo-Vázquez; J. A. Ruiz-Arias; V. Lara-Fanego; J. Tovar-Pescador

2013-07-01T23:59:59.000Z

423

Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh | OpenEI  

Open Energy Info (EERE)

(SWERA) - Bangladesh (SWERA) - Bangladesh Dataset Summary Description Reduction of global greenhouse gas emission to arrest global warming requires minimizing the use of fossil fuels. To achieve this a large scale use of renewable energies must be made over the globe for production of electrical and thermal energy. Success of wind and solar energy projects require detailed and precise information on the resources. For most developing countries adequate information on the resources are not available.UNEP supported by GEF has started a program to assess solar and wind resources for a number of countries including Bangladesh, China, Brazil, Nepal and Sri Lanka in the initial program.World resources of oil, gas and coal are limited and there is a global concern about this but for Bangladesh the situation appears to be extremely unhappy as per capita reserve of fossil fuels is only 1/50th to 1/100th of world per capita. A close look at Bangladesh energy scenario is presented before going to an overview of the results of resource assessments for wind and solar energy under the SWERA Program carried out for Bangladesh withRERC as the local partner. Data and maps for Bangladesh are available in the SWERA website. Details of assessment techniques and results will be presented in the following sections together with the possible applications of the resources.A spin-off from the SWERA Project is development of manpower trained at home and abroad in WAsP techniques, RETScreen and HOMER analyses and the capability development for using GIS Toolkit.NREL, RISOE and DLR produced modeled maps and data sets for Bangladesh and NREL developed the GIS Toolkit. RERC measured and collected ground data and standardized the maps and data sets.Mr. Tom Hamlin of UNEP who has been the project manager for SWERA activities always extended his helping hands to RERC which enabled the completion of the project.TERI has played a vital role as the Regional Coordinator.

424

NREL: Wind Research - Grid Integration of Offshore Wind  

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

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

425

New report assesses offshore wind technology challenges and potential risks and benefits.  

E-Print Network (OSTI)

of the offshore wind energy industry, Large-Scale Offshore Wind Power in the United States. It provides a broad resource. The United States possesses large and accessible offshore wind energy resources. The availability of offshore wind energy facilities would generate an estimated $200 billion in new economic activity

426

Development of a practical modeling framework for estimating the impact of wind technology on bird populations  

DOE Green Energy (OSTI)

One of the most pressing environmental concerns related to wind project development is the potential for avian fatalities caused by the turbines. The goal of this project is to develop a useful, practical modeling framework for evaluating potential wind power plant impacts that can be generalized to most bird species. This modeling framework could be used to get a preliminary understanding of the likelihood of significant impacts to birds, in a cost-effective way. The authors accomplish this by (1) reviewing the major factors that can influence the persistence of a wild population; (2) briefly reviewing various models that can aid in estimating population status and trend, including methods of evaluating model structure and performance; (3) reviewing survivorship and population projections; and (4) developing a framework for using models to evaluate the potential impacts of wind development on birds.

Morrison, M.L. [California State Univ., Sacramento, CA (United States); Pollock, K.H. [North Carolina State Univ., Raleigh, NC (United States)

1997-11-01T23:59:59.000Z

427

Cost Estimating Tools and Resources for Addressing Sites Under  

E-Print Network (OSTI)

The U.S. Environmental Protection Agency is charged by Congress with protecting the Nation’s land, air, and water resources. Under a mandate of national environmental laws, the Agency strives to formulate and implement actions leading to a compatible balance between human activities and the ability of natural systems to support and nurture life. To meet this mandate, EPA’s research program is providing data and technical support for solving environmental problems today and building a science knowledge base necessary to manage our ecological resources wisely, understand how pollutants affect our health, and prevent or reduce environmental risks in the future. The National Risk Management Research Laboratory is the Agency’s center for investigation of technological and management approaches for reducing risks from threats to human health and the environment. The focus of the Laboratory’s research program is on methods for the prevention and control of pollution to air, land, water and subsurface

Sites Under The Brownfields; The Brownfields Initiative

1999-01-01T23:59:59.000Z

428

Category:Small Wind Guidebook | Open Energy Information  

Open Energy Info (EERE)

Guidebook Guidebook Jump to: navigation, search Print PDF Book of this Category Pages in category "Small Wind Guidebook" The following 119 pages are in this category, out of 119 total. A Alabama/Wind Resources Alabama/Wind Resources/Full Version Alaska/Wind Resources Alaska/Wind Resources/Full Version Arizona/Wind Resources Arizona/Wind Resources/Full Version Arkansas/Wind Resources Arkansas/Wind Resources/Full Version C California/Wind Resources California/Wind Resources/Full Version Colorado/Wind Resources Colorado/Wind Resources/Full Version Connecticut/Wind Resources Connecticut/Wind Resources/Full Version D Delaware/Wind Resources Delaware/Wind Resources/Full Version F Florida/Wind Resources Florida/Wind Resources/Full Version G Georgia/Wind Resources Georgia/Wind Resources/Full Version

429

Assessment of Offshore Wind Energy Potential in the United States (Poster)  

DOE Green Energy (OSTI)

The development of an offshore wind resource database is one of the first steps necessary to understand the magnitude of the resource and to plan the distribution and development of future offshore wind power facilities. The U.S. Department of Energy supported the production of offshore wind resource maps and potential estimates for much of the United States. This presentation discusses NREL's 2010 offshore wind resources report; current U.S., regional, and state offshore maps; methodology for the wind mapping and validation; wind potential estimates; the Geographic Information Systems database; and future work and conclusions.

Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Musial, W.

2011-05-01T23:59:59.000Z

430

Energy Basics: Wind Power Animation (Text Version)  

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

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

431

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

432

Geothermal -- The Energy Under Our Feet: Geothermal Resource Estimates for the United States  

DOE Green Energy (OSTI)

On May 16, 2006, the National Renewable Energy Laboratory (NREL) in Golden, Colorado hosted a geothermal resources workshop with experts from the geothermal community. The purpose of the workshop was to re-examine domestic geothermal resource estimates. The participating experts were organized into five working groups based on their primary area of expertise in the following types of geothermal resource or application: (1) Hydrothermal, (2) Deep Geothermal Systems, (3) Direct Use, (4) Geothermal Heat Pumps (GHPs), and (5) Co-Produced and Geopressured. The workshop found that the domestic geothermal resource is very large, with significant benefits.

Green, B. D.; Nix, R. G.

2006-11-01T23:59:59.000Z

433

NREL: Transmission Grid Integration - Data and Resources  

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

Data and Resources Data and Resources NREL offers the following transmission integration-related data and resources. Eastern Wind Dataset A key task of the Eastern Wind Integration and Transmission Study was to develop a dataset of three years of modeled time series wind speed and power. This dataset was designed to help energy professionals perform wind integration studies, compare potential wind sites spatially and temporally, and estimate power production from hypothetical wind plants. Western Wind Dataset A primary task of the Western Wind and Solar Integration Study was to produce a comprehensive dataset that could be used to model the build-out of potential wind plants in the Western United States. This dataset was designed to help energy professionals perform wind integration studies,

434

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

E-Print Network (OSTI)

in calculating the unit cost of wind energy transmissionimpacts of the cost of transmission for wind energy. Only inj = Transmission cost per unit of wind energy weighted by

Mills, Andrew; Wiser, Ryan; Porter, Kevin

2007-01-01T23:59:59.000Z

435

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

E-Print Network (OSTI)

Transmission Planning and Wind Energy. Issue Brief. August.of new transmission for wind energy due to the complex andincreasingly including wind energy in transmission plans. We

Mills, Andrew; Wiser, Ryan; Porter, Kevin

2007-01-01T23:59:59.000Z

436

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

437

Domain-Independent Attribution. Part I: Reconstructing the Wind from Estimates of Vorticity and Divergence Using Free Space Green's Functions  

Science Conference Proceedings (OSTI)

Free space Green's functions may be used to reconstruct the wind over a limited domain from vorticity, divergence, and the wind at the boundary of the domain. When standard finite-difference estimates of the vorticity/divergence field are used, ...

Craig H. Bishop

1996-01-01T23:59:59.000Z

438

A Technique for Estimating Recurrence Intervals of Tropical Cyclone-Related High Winds in the Tropics: Results for Guam  

Science Conference Proceedings (OSTI)

The authors develop a technique that applies models of the radial profile of the wind in tropical cyclones to historical best-track databases of tropical cyclones, in order to estimate the wind (at 1-h intervals) experienced at any selected ...

John A. Rupp; Mark A. Lander

1996-05-01T23:59:59.000Z

439

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

440

Quantifying the Uncertainty in Estimates of World Conventional Oil Resources  

E-Print Network (OSTI)

Since Hubbert proposed the "peak oil" concept to forecast ultimate recovery of crude oil for the U.S. and the world, there have been countless debates over the timing of peak world conventional oil production rate and ultimate recovery. From review of the literature, forecasts were grouped into those that are like Hubbert's with an imminent peak, and those that do not predict an imminent peak. Both groups have bases for their positions. Viewpoints from the two groups are polarized and the rhetoric is pointed and sometimes personal. A big reason for the large divide between the two groups is the failure of both to acknowledge the significant uncertainty in their estimates. Although some authors attempt to quantify uncertainty, most use deterministic methods and present single values, with no ranges. This research proposes that those that do attempt to quantify uncertainty underestimate it significantly. The objective of this thesis is to rigorously quantify the uncertainty in estimates of ultimate world conventional oil production and time to peak rate. Two different methodologies are used. The first is a regression technique based on historical production data using Hubbert's model and the other methodology uses mathematical models. However, I conduct the analysis probabilistically, considering errors in both the data and the model, which results in likelihood probability distributions for world conventional oil production and time to peak rate. In the second method, I use a multiple-experts analysis to combine estimates from the multitude of papers presented in the literature, yielding an overall distribution of estimated world conventional oil production. Giving due consideration to uncertainty, Hubbert-type mathematical modeling results in large uncertainty ranges that encompass both groups of forecasts (imminent peak and no imminent peak). These ranges are consistent with those from the multiple-experts analysis. In short, the industry does not have enough information at this time to say with any reliability what the ultimate world conventional oil production will be. It could peak soon, somewhere in the distant future, or somewhere in between. It would be wise to consider all of these possible outcomes in planning and making decisions regarding capital investment and formulation of energy policy.

Tien, Chih-Ming

2009-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind resource estimates" 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

State and National Wind Resource Potential at Various Capacity Factor Ranges for 80 and 100 Meters  

Wind Powering America (EERE)

February 4, 2010 (updated April 13, 2011 to add Alaska and Hawaii) February 4, 2010 (updated April 13, 2011 to add Alaska and Hawaii) State Total (km 2 ) Excluded 2 (km 2 ) Available (km 2 ) Available % of State % of Total Windy Land Excluded Installed Capacity 3 (MW) Annual Generation (GWh) Alabama 15.9 13.3 2.6 0.00% 83.4% 13.2 42 Alaska 267,897.7 209,673.4 58,224.3 3.87% 78.3% 291,121.3 1,051,210 Arizona 611.7 417.3 194.4 0.07% 68.2% 972.1 3,100 Arkansas 1,130.0 687.5 442.5 0.32% 60.8% 2,212.5 7,215 C lif i 11 456 4 8 650 1 2 806 3 0 69% 75 5% 14 031 7 49 073 Estimates of Windy 1 Land Area and Wind Energy Potential, by State, for areas >= 35% Capacity Factor at 80m These estimates show, for each of the 50 states and the total U.S., the windy land area with a gross capacity factor (without losses) of 35% and greater at 80-m height above ground and the wind energy potential that could be possible from development of the "available" windy land area

442

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....

443

Estimating the Wind Field from Chemical Constituent Observations: Experiments with a One-Dimensional Extended Kalman Filter  

Science Conference Proceedings (OSTI)

Modern data assimilation algorithms such as the four-dimensional variational algorithm or the extended Kalman filter (EKF) can, in theory, estimate the wind field from chemical constituent observations. This seems to be possible because of the ...

Roger Daley

1995-01-01T23:59:59.000Z

444

A First-Guess Feature-Based Algorithm for Estimating Wind Speed in Clear-Air Doppler Radar Spectra  

Science Conference Proceedings (OSTI)

Algorithms for deriving winds from profiler range-gated spectra currently rely on consensus averaging to remove outliers from the subhourly velocity estimates. For persistent ground clutter in the echo return that is stronger than the atmospheric ...

E. E. Clothiaux; R. S. Penc; D. W. Thomson; T. P. Ackerman; S. R. Williams

1994-08-01T23:59:59.000Z

445

Estimation of Tropical Cyclone Wind Hazard for Darwin: Comparison with Two Other Locations and the Australian Wind-Loading Code  

Science Conference Proceedings (OSTI)

The passage of three Australian Category 5 cyclones within 350 km of Darwin (Northern Territory), Australia, during the last decade indicates that that city should have a high wind hazard. In this paper, the wind hazard for Darwin was compared ...

Garry D. Cook; Michael J. Nicholls

2009-11-01T23:59:59.000Z

446

Improving RUC-1 Wind Estimates by Incorporating Near-Real-Time Aircraft Reports  

Science Conference Proceedings (OSTI)

A verification study of wind accuracy is presented for wind nowcasts generated by augmenting Rapid Update Cycle (RUC) wind forecasts with near-real-time aircraft reports using the Integrated Terminal Weather System (ITWS) gridded winds algorithm. ...

Rodney E. Cole; Steve M. Green; Matt R. Jardin

2000-08-01T23:59:59.000Z

447

Design of resource to backbone transmission for a high wind penetration future.  

E-Print Network (OSTI)

??In a high wind penetration future, transmission must be designed to integrate groups of new wind farms with a high capacity inter-regional ``backbone" transmission system.… (more)

Slegers, James Michael

2013-01-01T23:59:59.000Z

448

Higher wind generation in the Southwest Power Pool is reducing use ...  

U.S. Energy Information Administration (EIA)

A more accurate estimate of baseload service also considers the hourly output of variable energy resources, such as wind, solar, and hydro under certain circumstances.

449

New Facility to Shed Light on Offshore Wind Resource (Fact Sheet), Highlights in Research & Development, NREL (National Renewable Energy Laboratory)  

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

As a pre-existing structure in a location with As a pre-existing structure in a location with excellent offshore wind resources, the Chesapeake Light Tower provides a cost-effective alternative to building a new platform large enough to support an 80- to 100-meter-tall meteorological tower. Photo by Rick Driscoll, NREL 25660 Chesapeake Light Tower facility will gather key data for unlocking the nation's vast offshore wind resource. According to the National Offshore Wind Strategy published by the U.S. Department of Energy (DOE) in 2011, the nation's offshore wind resource could supply 54 gigawatts of generat- ing capacity by 2030. However, to tap into that potential, more data on the nature of offshore wind resources and the ocean environment is needed. An opportunity to address this need was cre-

450

The Scientific Beaufort Equivalent Scale: Effects on Wind Statistics and Climatological Air-Sea Flux Estimates in the North Atlantic Ocean  

Science Conference Proceedings (OSTI)

The Beaufort equivalent scale of the World Meteorological Organization (WMO), used for decades to transform marine Beaufort estimates to surface wind speeds over the oceans, contains systematic errors that depend nonlinearly on the wind speed. ...

Hans-Jörg Isemer; Lutz Hasse

1991-08-01T23:59:59.000Z

451

The Estimated Global Ocean Wind Power Potential from QuikSCAT Observations, Accounting for Turbine Characteristics and Siting  

E-Print Network (OSTI)

For the first time, global ocean usable wind power is evaluated for modern offshore turbine characteristics including hub height, usable portion of the wind speed distribution and siting depth. Mean wind power increases by 30%, 69 % and 73 % within the tropics and northern and southern hemisphere extratropics, respectively, between hub heights of 10 m and 100 m. A turbine with a cut-out speed of 25 m s?1 (30 m s?1) within the northern hemisphere storm track harvests between 55 % (82%) and 85% (> 98%) of available power. Within this region, a 2–3m s?1 change in cut-out speed can result in a 5–7 % change in usable power. 80 m wind power accumulates at a rate of 20–45 GW km2 m?2 per meter depth increase from the shore to the shelf break. Beyond the shelf break, wind power accumulates at a slower rate (wind power is assessed for three technology tiers: existing, planned, and future innovations. Usable percent of 80 m available global ocean wind power ranges from 0.40 % for existing to 2.73 % for future envisioned turbine specifications. Offshore wind power production is estimated using typical turbine characteristics including rotor diameter, rated power and siting density. Global offshore wind power is as much as 37 TW (50 % of onshore) and is maximized for the smallest and least powerful of the three turbine specifications evaluated. 1 1

Charles S. Zender

2009-01-01T23:59:59.000Z

452

OpenEI - wind power capacity  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4250 en Wind Resources By Class Per Country At 50m http:en.openei.orgdatasetsnode492

These estimates are derived from a...

453

Importance of Thermal Effects and Sea Surface Roughness for Offshore Wind Resource Assessment  

E-Print Network (OSTI)

The economic feasibility of offshore wind power utilisation depends on the favourable wind conditions offshore as compared to sites on land. The higher wind speeds have to compensate the additional cost of offshore developments. However, not only the mean wind speed is different, but the whole flow regime, as can e.g. be seen in the vertical wind speed profile. The commonly used models to describe this profile have been developed mainly for land sites. Their applicability for wind power prediction at offshore sites is investigated using data from the measurement program Rdsand, located in the Danish Baltic Sea.

Bernhard Lange; Sűren Larsen; Jűrgen Hűjstrup Rebecca Barthelmie; Jűrgen Hűjstrup; Rebecca Barthelmie; Bernhard Lange

2004-01-01T23:59:59.000Z

454

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

E-Print Network (OSTI)

179c/179c9e0086c0.pdf National Wind CoordinatingTransmission Planning and Wind Energy. Issue Brief. August.and Renewable Energy, Wind & Hydropower Technologies Program

Mills, Andrew; Wiser, Ryan; Porter, Kevin

2007-01-01T23:59:59.000Z

455

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

E-Print Network (OSTI)

factor of individual wind farms leads to concerns thatplants. The location of wind farms is dependent on the winda lower-performing wind farm than to build new transmission

Mills, Andrew; Wiser, Ryan; Porter, Kevin

2007-01-01T23:59:59.000Z

456

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

E-Print Network (OSTI)

conventional power and wind power make transmission more300 MW or more of new wind power and focus on the deeperthe trend toward wind power’s inclusion in regional

Mills, Andrew; Wiser, Ryan; Porter, Kevin

2007-01-01T23:59:59.000Z

457

Voltage Stability Analysis of a Distributed Network Incorporating Wind Power Resource  

Science Conference Proceedings (OSTI)

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

Denis Juma; Bessie Monchusi; Josiah Munda; Adisa Jimoh

2011-01-01T23:59:59.000Z

458

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.

459

Comparison of Historical Satellite Based Estimates of Solar Radiation Resources with Recent Rotating Shadowland Radiometer Measurements  

Science Conference Proceedings (OSTI)

Satellite-based solar radiation estimates have recently been incorporated into the 1990-2005 update to the 1961-1990 U.S. National Solar Radiation Database (NSRDB). The National Aeronautics and Space Administration (NASA) also supplies satellite-based estimates of solar radiation. The usefulness of such data with respect to solar resources for site selection and designing solar energy conversion systems is often questioned. The availability of rotating shadow band radiometer measurement data at several new stations provides an opportunity to compare historical satellite-based estimates of solar resources with measurements. We compare mean monthly daily total (MMDT) solar radiation data from eight years of NSRDB and 22 years of NASA hourly global horizontal and direct beam solar estimates with measured data from three stations, collected after the end of the available resource estimates. We compare the most recent shadowband radiometer MMDT with a complement of thermopile 'first class' solar radiometers at one site. Quantitative analysis shows that in most cases, the long-term average MMDT and measured data are comparable, within 10% of each other for global, and 20% for direct-radiation MMDT.

Myers, D.

2009-01-01T23:59:59.000Z

460

Energy Basics: Biomass Resources  

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

Share this resource Biomass Biofuels Biopower Bio-Based Products Biomass Resources Geothermal Hydrogen Hydropower Ocean Solar Wind Biomass Resources Biomass resources include any...

Note: This page contains sample records for the topic "wind resource estimates" 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.