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

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

Wind Powering America (EERE)

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

2

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

Wind Powering America (EERE)

5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC. Web: http:www.awstruepower.com. Map developed by NREL. Spatial resolution of wind...

3

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

Science Journals Connector (OSTI)

Abstract Offshore wind resources are more abundant and stronger and they blow more consistently than land-based wind resources. While gale force winds are easier to hit on the sea, the strong wind vibration and wind loads may exert severe damage and shock to wind turbines and wind power grids, even resulting in power grid collapse. Thus, to develop offshore wind power, apart from accurate quantitative wind energy potential assessments, it is necessary to effectively estimate extreme wind speeds. Toward this purpose, this paper investigates the current status of extreme wind speeds and wind energy assessment from literature review. It turns out that much work on wind energy estimation has been performed, whereas relatively little research involves extreme wind speeds, the main challenge stemming from the limited availability of derived extreme winds. Then a GH method based on artificial intelligence optimization algorithms is developed to re-analyze future samples of extreme wind speeds. On the basis of the re-analyzed extreme samples, as well as the Generalized Extreme Value (GEV) and Gumbel models optimized by Cuckoo Search (CS) and Chaotic Particle Swarm Optimization (CPSO) algorithms, the potential risks of extreme wind speeds are conducted based on 23-year (1990–2012) historic wind speeds. Thus, in terms of wind speeds, a comprehensive estimation for offshore wind energy is initially implemented in Bohai Rim, China. The assessment shows that the study areas have high-strength wind power but are rarely subjected to extreme wind speeds, which implies that it is suitable for wind farm construction.

Jianzhou Wang; Shanshan Qin; Shiqiang Jin; Jie Wu

2015-01-01T23:59:59.000Z

4

Design Wind Speed  

Science Journals Connector (OSTI)

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

Yozo Fujino; Kichiro Kimura; Hiroshi Tanaka

2012-01-01T23:59:59.000Z

5

wind speed | OpenEI  

Open Energy Info (EERE)

speed speed Dataset Summary Description GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ).Wind resource based on NOAA blended sea winds and monthly wind speed at 30km resolution, using a 0.11 wind sheer to extrapolate 10m - 90m. Annual average >= 10 months of data, no nulls. Source National Renewable Energy Laboratory (NREL) Date Released Unknown Date Updated Unknown Keywords GIS global NOAA NREL offshore wind wind speed Data application/zip icon Download Shapefile (zip, 18.5 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Other or unspecified, see optional comment below Comment Please cite NREL and NOAA Rate this dataset Usefulness of the metadata

6

OpenEI - wind speed  

Open Energy Info (EERE)

NREL GIS Data: Global NREL GIS Data: Global Offshore Wind http://en.openei.org/datasets/node/869 GIS data for offshore wind speed (meters/second).  Specified to Exclusive Economic Zones (EEZ).Wind resource based on NOAA blended sea winds and monthly wind speed at 30km resolution, using a 0.11 wind sheer to extrapolate 10m - 90m.  Annual average  >= 10 months of data, no nulls. License

Type of License:  Other (please specify below)

7

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

Open Energy Info (EERE)

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

8

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

Open Energy Info (EERE)

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

9

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

10

Forecasting Solar Wind Speeds  

E-Print Network (OSTI)

By explicitly taking into account effects of Alfven waves, I derive from a simple energetics argument a fundamental relation which predicts solar wind (SW) speeds in the vicinity of the earth from physical properties on the sun. Kojima et al. recently found from their observations that a ratio of surface magnetic field strength to an expansion factor of open magnetic flux tubes is a good indicator of the SW speed. I show by using the derived relation that this nice correlation is an evidence of the Alfven wave which accelerates SW in expanding flux tubes. The observations further require that fluctuation amplitudes of magnetic field lines at the surface should be almost universal in different coronal holes, which needs to be tested by future observations.

Takeru K. Suzuki

2006-02-03T23:59:59.000Z

11

Wind speed estimation using multilayer perceptron  

Science Journals Connector (OSTI)

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

Ramón Velo; Paz López; Francisco Maseda

2014-01-01T23:59:59.000Z

12

Sandia National Laboratories: Wind Resources  

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

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

13

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).

14

Wind Resource Assessment of Gujarat (India)  

SciTech Connect

India is one of the largest wind energy markets in the world. In 1986 Gujarat was the first Indian state to install a wind power project. In February 2013, the installed wind capacity in Gujarat was 3,093 MW. Due to the uncertainty around existing wind energy assessments in India, this analysis uses the Weather Research and Forecasting (WRF) model to simulate the wind at current hub heights for one year to provide more precise estimates of wind resources in Gujarat. The WRF model allows for accurate simulations of winds near the surface and at heights important for wind energy purposes. While previous resource assessments published wind power density, we focus on average wind speeds, which can be converted to wind power densities by the user with methods of their choice. The wind resource estimates in this study show regions with average annual wind speeds of more than 8 m/s.

Draxl, C.; Purkayastha, A.; Parker, Z.

2014-07-01T23:59:59.000Z

15

Forecasting wind speed financial return  

E-Print Network (OSTI)

The prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Markov chains, to predict wind speed. Particularly we use an indexed semi-Markov model that has been shown to be able to reproduce accurately the statistical behavior of wind speed. The model is used to forecast, one step ahead, wind speed. In order to check the validity of the model we show, as indicator of goodness, the root mean square error and mean absolute error between real data and predicted ones. We also compare our forecasting results with those of a persistence model. At last, we show an application of the model to predict financial indicators like the Internal Rate of Return, Duration and Convexity.

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

16

Wind Resource Maps (Postcard)  

SciTech Connect

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

Not Available

2011-07-01T23:59:59.000Z

17

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

18

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

E-Print Network (OSTI)

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

Capps, Scott Blair

2010-01-01T23:59:59.000Z

19

United States- Land Based and Offshore Annual Average Wind Speed at 100 Meters  

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

Full-size, high resolution version of the 100-meter land-based and offshore wind speed resource map.

20

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

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

Offshore wind resource assessment through satellite images  

E-Print Network (OSTI)

1 Slide no. 4 Offshore wind resource assessment through satellite images Charlotte Bay Hasager images for offshore wind ressource assessment in lieu of in-situ mast observations #12;4 Slide no Hasager, Dellwik, Nielsen and Furevik, 2004, Validation of ERS-2 SAR offshore wind-speed maps in the North

22

Wind Career Map: Resource List  

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

The following resources were used in the development of the Wind Career Map, associated job profile information, or are potential resources for interested Wind Career Map viewers.

23

Wind Speed Prediction Via Time Series Modeling.  

E-Print Network (OSTI)

??Projected construction of nearby wind farms motivates this study of statistical forecasting of wind speed, for which accurate prediction is critically important to the fluid… (more)

Alexander, Daniel

2009-01-01T23:59:59.000Z

24

NREL: Wind Research - International Wind Resource Maps  

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

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

25

Estimation of the Design Wind Speed  

Science Journals Connector (OSTI)

The modern approach to the specification of the design wind speed favours the explicit format which directly presents the design value of the wind speed instead of hiding the value behind the product of the chara...

Michael Kasperski

2013-01-01T23:59:59.000Z

26

Estimated changes in wind speed and wind power density over the western High Plains, 1971–2000  

Science Journals Connector (OSTI)

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

J. Scott Greene; Matthew Chatelain; Mark Morrissey…

2012-08-01T23:59:59.000Z

27

Wind speed vertical distribution at Mt Graham  

Science Journals Connector (OSTI)

......October 2010 research-article Papers Wind speed vertical distribution at Mt Graham...characterization of the vertical distribution of wind speed, V(h), is fundamental for an...many different reasons: (i) the wind speed shear contributes to trigger optical......

S. Hagelin; E. Masciadri; F. Lascaux

2010-10-01T23:59:59.000Z

28

Wind Speed Forecasting for Power System Operation  

E-Print Network (OSTI)

In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and limited predictability of wind pose profound challenges to the power system...

Zhu, Xinxin

2013-07-22T23:59:59.000Z

29

Improved methodology for design of low wind speed specific wind turbine blades  

Science Journals Connector (OSTI)

Abstract The majority of wind power is currently produced on high wind speed sites, and the standard design of wind turbine blades has evolved to be structurally efficient under these conditions. Recently, sites with lower quality wind resources have begun to be considered for new wind farms. This study confirms the expectation that the standard high wind speed design process results in less efficient structures when used for low wind speed conditions, and that a low wind speed specific design process is able to yield structural improvements. A comparative structural analysis of generic blades from high and low wind speed turbines quantifies the differences in structural performance between high and low wind speed blades, and indicates the ways in which the standard design process should be modified to suit a low wind speed specific design. An improved design method specifically for low wind speed blades is proposed, with more emphasis on stiffness than in the standard high wind speed design. The improved design process results in a lighter and cheaper blade than the conventionally designed one, whilst still fulfilling the design requirements.

R.H. Barnes; E.V. Morozov; K. Shankar

2015-01-01T23:59:59.000Z

30

Estimation of Wind Speed in Connection to a Wind Turbine  

E-Print Network (OSTI)

horizontal axis wind power plant with rated power 750 KW. The plant has a three bladed rotor and an automatic is shown in Figure 1 demand Drive train Generator Rotor Wind speed Power demand Grid Power Controller PitchEstimation of Wind Speed in Connection to a Wind Turbine X. Ma #3; , N. K. Poulsen #3; , H. Bindner

31

Wind energy resource in Northern Mexico  

Science Journals Connector (OSTI)

Abstract Mexico has installed less wind power compared to the other North American countries. Renewable energy sources only account for 3% of the energy mix in Mexico. The U.S. states bordering Mexico, namely Texas, New Mexico, Arizona, and California, have good wind power resources. Among them, Texas has the highest installed wind power capacity of 10.34 GW. The wind resources in these bordering states indicate that the wind energy resource in Northern Mexico must be assessed; thus, the spatial and temporal information about the wind energy resource was studied. The daily pattern of the wind speed, one per state studied, was obtained. The wind speed was found to exhibit a pattern; it increases from 4 pm until 6 am the following day. The main conclusions are that the state of Tamaulipas has the highest Wind Power Density (WPD) of 1000 W/m2 during September and October, but the north of Nuevo Leon has, in a large part of its territory, an annual WPD greater than 103 W/m2; each state has 1700 useful hours of wind speed above 3 m/s. Northern Mexico has some zones with excellent wind speed as well; the states of Chihuahua, Coahuila, Nuevo Leon and Tamaulipas have a wind speed of over 4.51 m/s across nearly their entire territories. Because Mexico in recent years has been starting to exploit renewable energy sources, the government has mandated energy reform, which improves the conditions for investment in wind energy in Mexico.

Q. Hernández-Escobedo; R. Saldańa-Flores; E.R. Rodríguez-García; F. Manzano-Agugliaro

2014-01-01T23:59:59.000Z

32

Wind Energy Resources and Technologies  

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

This page provides a brief overview of wind energy resources and technologies supplemented by specific information to apply wind energy within the Federal sector.

33

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

Open Energy Info (EERE)

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

34

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

Open Energy Info (EERE)

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

35

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

36

Wind Speed Data Analysis using Wavelet Transform  

E-Print Network (OSTI)

Abstract—Renewable energy systems are becoming a topic of great interest and investment in the world. In recent years wind power generation has experienced a very fast development in the whole world. For planning and successful implementations of good wind power plant projects, wind potential measurements are required. In these projects, of great importance is the effective choice of the micro location for wind potential measurements, installation of the measurement station with the appropriate measuring equipment, its maintenance and analysis of the gained data on wind potential characteristics. In this paper, a wavelet transform has been applied to analyze the wind speed data in the context of insight in the characteristics of the wind and the selection of suitable locations that could be the subject of a wind farm construction. This approach shows that it can be a useful tool in investigation of wind potential. Keywords—Wind potential, Wind speed data, Wavelet transform.

S. Avdakovic; A. Lukac; A. Nuhanovic; M. Music

37

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.

38

Wind Energy Resource Basics | Department of Energy  

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

Renewable Energy Wind Wind 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...

39

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.

40

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:

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

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.

42

Use of synthetic aperture radar for offshore wind resource assessment and wind farm development in the UK   

E-Print Network (OSTI)

The UK has an abundant offshore wind resource with offshore wind farming set to grow rapidly over the coming years. Optimisation of energy production is of the utmost importance and accurate estimates of wind speed distributions are critical...

Cameron, Iain Dickson

2008-01-01T23:59:59.000Z

43

LIDAR Wind Speed Measurements of Evolving Wind Fields  

SciTech Connect

Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed Taylor's frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylor's hypothesis applied, the only source of wind speed measurement error is distortion caused by the LIDAR. This study introduces wind evolution, characterized by the longitudinal coherence of the wind, to LIDAR measurement simulations to create a more realistic measurement model. A simple model of wind evolution is applied to a frozen wind field used in previous studies to investigate the effects of varying the intensity of wind evolution. LIDAR measurements are also evaluated with a large eddy simulation of a stable boundary layer provided by the National Center for Atmospheric Research. Simulation results show the combined effects of LIDAR errors and wind evolution for realistic turbine-mounted LIDAR measurement scenarios.

Simley, E.; Pao, L. Y.

2012-07-01T23:59:59.000Z

44

Ris-R-1563(EN) ACCUWIND -Accurate Wind Speed  

E-Print Network (OSTI)

RisÞ-R-1563(EN) ACCUWIND - Accurate Wind Speed Measurements in Wind Energy Summary Report Troels (RIS�) Title: ACCUWIND ­ Accurate Wind Speed Measurements in Wind Energy ­ Summary Report Department speed measurement in wind energy. It is being applied in high numbers around the world for wind energy

45

Assessment of Wind Speed Dependent Prediction Error  

Science Journals Connector (OSTI)

The investigations in this chapter follow the idea that the prediction error quantitatively depends on the meteorological situation that has to be predicted. As a first approach the wind speed as a main indicator...

Dr. Matthias Lange; Dr. Ulrich Focken

2006-01-01T23:59:59.000Z

46

Wind speed vertical distribution at Mt. Graham  

E-Print Network (OSTI)

The characterization of the wind speed vertical distribution V(h) is fundamental for an astronomical site for many different reasons: (1) the wind speed shear contributes to trigger optical turbulence in the whole troposphere, (2) a few of the astroclimatic parameters such as the wavefront coherence time (tau_0) depends directly on V(h), (3) the equivalent velocity V_0, controlling the frequency at which the adaptive optics systems have to run to work properly, depends on the vertical distribution of the wind speed and optical turbulence. Also, a too strong wind speed near the ground can introduce vibrations in the telescope structures. The wind speed at a precise pressure (200 hPa) has frequently been used to retrieve indications concerning the tau_0 and the frequency limits imposed to all instrumentation based on adaptive optics systems, but more recently it has been proved that V_200 (wind speed at 200 hPa) alone is not sufficient to provide exhaustive elements concerning this topic and that the vertical d...

Hagelin, S; Lascaux, F

2010-01-01T23:59:59.000Z

47

Sampling Wind Data for Mean Wind Speed Estimation  

Science Journals Connector (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

48

Unsafe at Any (Wind) Speed?  

Science Journals Connector (OSTI)

The goal of this research was to examine the relative safety and stability of stationary motor vehicles exposed to severe winds. The focus was on private passenger vehicles. 1) The behavior of two instrumented storm-chase vehicles that were ...

Thomas Schmidlin; Barbara Hammer; Paul King; Yuichi Ono; L. Scott Miller; Gregory Thumann

2002-12-01T23:59:59.000Z

49

Vermont Standard Offer for Qualifying SPEED Resources | Department of  

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

Vermont Standard Offer for Qualifying SPEED Resources Vermont Standard Offer for Qualifying SPEED Resources Vermont Standard Offer for Qualifying SPEED Resources < Back Eligibility Agricultural Commercial Industrial Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Maximum Rebate Varies by technology Program Info Start Date 09/30/2009 State Vermont Program Type Performance-Based Incentive Rebate Amount Varies by technology Provider VEPP, Inc. '''''Note: The first RFP for the new competitive award process has passed; applications were accepted through May 1, 2013. See the program web site for information regarding future solicitations. ''''' In May 2009, Vermont enacted legislation requiring all Vermont retail electricity providers to purchase electricity generated by eligible

50

SODAR Wind Resource Measurement Results at Falmouth, MA Prepared for  

E-Print Network (OSTI)

of Massachusetts at Amherst. The data were collected to estimate the wind resource for possible wind turbines to well over 100 m. The operation of a SODAR and the SODAR data are described in this report. SODAR Technology The UMass ART VT-1 SODAR measures wind speed and direction at multiple heights using an acoustic

Massachusetts at Amherst, University of

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

Wind Resource Assessment in Europe Using Emergy  

E-Print Network (OSTI)

In context of increasing use of renewable sources, it is of importance to correctly evaluate the actual sustainability of their implementation. Emergy analysis is one of the possible methods useful for such an assessment. This work aims to demonstrate how the emergy approach can be used to assess the sustainability of wind energy resource in Europe. The Emergy Index of Sustainability (EIS) and the Emergy Yield Ratio (EYR) are used to analyze 90 stations of European regions for three types of wind turbines. To do so, the simplified Chou wind turbine model is used for different set of parameters as: nominal power and size of the wind turbines, and cut-in and cut-out wind speeds. Based on the calculation of the emergy indices, a mapping is proposed to identify the most appropriate locations for an implementation of wind turbines in European regions. The influence of the wind turbine type on the sustainability is also analyzed, in link with the local wind resource. Thus, it is concluded that the emergy sustainabi...

Paudel, Subodh; Martin, Viktoria; Lacarriere, Bruno; Corre, Olivier Le

2015-01-01T23:59:59.000Z

53

Time Series Models to Simulate and Forecast Wind Speed and Wind Power  

Science Journals Connector (OSTI)

A general approach for modeling wind speed and wind power is described. Because wind power is a function of wind speed, the methodology is based on the development of a model of wind speed. Values of wind power are estimated by applying the ...

Barbara G. Brown; Richard W. Katz; Allan H. Murphy

1984-08-01T23:59:59.000Z

54

LIDAR Wind Speed Measurements of Evolving Wind Fields  

SciTech Connect

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

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

2012-01-01T23:59:59.000Z

55

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.

56

Wind Energy Resource Atlas of Armenia  

SciTech Connect

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

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

2003-07-01T23:59:59.000Z

57

Probabilistic Wind Resource Assessment and Power Predictions  

E-Print Network (OSTI)

Probabilistic Wind Resource Assessment and Power Predictions Luca Delle Monache (lucadm Accurate wind resource assessment and power forecasts and reliable quanXficaXon of their uncertainty Mo5va5on · Power forecast: o Increase wind energy penetra

Firestone, Jeremy

58

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 can provide you...

59

WINDExchange: Wind Energy Regional Resource Centers  

Wind Powering America (EERE)

Bookmark and Share Regional Resource Centers About Economic Development Siting Wind Energy Regional Resource Centers The U.S. Department of Energy's Regional Resource Centers...

60

Pitch and torque control of variable speed wind turbines.  

E-Print Network (OSTI)

??In this thesis the torque, speed and pitch angle control of variable speed wind turbine is investigated. In particular, it concentrates on the extraction of… (more)

Kulka, Arkadiusz

2004-01-01T23:59:59.000Z

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

The parent wind speed distribution: Why Weibull?  

Science Journals Connector (OSTI)

Abstract Part 1: The Weibull distribution has been used for many years to fit parent wind data. It is a particularly good fit to mean wind speed data arising from a wind climate dominated by temperate depressions. This good fit is practically useful, but intellectually not very satisfactory, because the familiar or Forward Weibull distribution is a purely empirical construct and there have seemed to be no reasons, grounded in either atmospheric physics or probability theory, why wind speeds should conform to this model. This paper introduces another distribution, the Offset Elliptical Normal (OEN) model, which has some justification in terms of probability theory and appears to form a more plausible model for mean wind speeds. It is shown that, over the entire practical range from everyday values to 1:10,000 year extremes and beyond, this new distribution matches a Weibull distribution so closely, that the Weibull can be regarded as not just empirical, but as an effective surrogate for the new distribution. One Weibull distribution corresponds to a whole family of the new distribution. Part 2: The assumptions of Harris’ Offset Elliptical Normal (OEN) model are verified using direct vector analysis of hourly wind observations at two, widely separated UK stations. The Jenkinson–Lamb index is found not to be effective in separating UK wind observations by causal mechanism for individual analysis. Fitting to the marginal distributions of wind speed and direction is shown not to be practicable owing to the information on their joint action that has been lost. Instead, an optimisation methodology is used to fit multiple disjoint OEN models to the joint PDF of the observed wind vectors, without prior separation of the observations. For Marham, Norfolk, a single OEN is sufficient, but two is marginally better. For Tiree, Inner Hebrides, two disjoint \\{OENs\\} are sufficient, but three is marginally better. For Changi, Singapore, three disjoint \\{OENs\\} correspond well with the three seasonal climates (inter-monsoon, “wet” NE monsoon and “dry” SW monsoon). For Rome (Ciampino) the component that dominates in the upper tail is shown to include downbursts from thunderstorms or other strong convective events.

R. Ian Harris; Nicholas J. Cook

2014-01-01T23:59:59.000Z

62

Extreme wind climate modeling of some locations in India for the specification of the design wind speed of structures  

Science Journals Connector (OSTI)

The wind load on a structure is proportional to the square of the wind speed. Extreme wind climate modeling should be required for specifying the design wind speed of structures. Extreme wind speeds for a storm t...

Arnab Sarkar; Navneet Kumar; Debojyoti Mitra

2014-06-01T23:59:59.000Z

63

Improving WRF-ARW Wind Speed Predictions using Genetic Programming  

Science Journals Connector (OSTI)

Numerical weather prediction models can produce wind speed forecasts at a very high space resolution. ... that GP is able to successfully downscale the wind speed predictions, reducing significantly the inherent ...

Giovanna Martinez-Arellano; Lars Nolle…

2012-01-01T23:59:59.000Z

64

Wind-Speed Undulations Over Swell: Field Experiment and Interpretation  

Science Journals Connector (OSTI)

Results of field measurements of the swell-induced undulation of the wind speed taken from a Black Sea platform are presented. The wind speed and its fluctuations were measured at several ... m above the mean sea...

Y. P. Soloviev; V. N. Kudryavtsev

2010-09-01T23:59:59.000Z

65

Solar cycle dependence of global distribution of solar wind speed  

Science Journals Connector (OSTI)

A review is given of observational results concerning the solar cycle dependence of the global structure of solar wind speed distribution during the years from 1973 to 1987. Since observations of solar wind speed

Masayoshi Kojima; Takakiyo Kakinuma

1990-08-01T23:59:59.000Z

66

Photosynthetic Rate of a Plant Community and Wind Speed  

Science Journals Connector (OSTI)

The previous chapter illustrated not only that wind speed affects the photosynthetic rate, but also that ... single leaves, may be affected by the wind speed. Thus, to uncover facts about the...

Kazutoshi Yabuki

2004-01-01T23:59:59.000Z

67

Multiscale prediction of wind speed and output power for the wind farm  

Science Journals Connector (OSTI)

This paper focuses on establishing the multiscale prediction models for wind speed and power in wind farm by the average wind speed collected from the history records. Each type ... the predictive values of outpu...

Xiaolan Wang; Hui LI

2012-05-01T23:59:59.000Z

68

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

Wind Powering America (EERE)

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

69

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?

70

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?

71

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?

72

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?

73

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?

74

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?

75

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?

76

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?

77

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?

78

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?

79

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?

80

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?

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

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?

82

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?

83

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?

84

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?

85

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?

86

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?

87

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?

88

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?

89

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?

90

Are global wind power resource estimates overstated?  

Science Journals Connector (OSTI)

Estimates of the global wind power resource over land range from 56 to 400 TW. Most estimates have implicitly assumed that extraction of wind energy does not alter large-scale winds enough to significantly limit wind power production. Estimates that ignore the effect of wind turbine drag on local winds have assumed that wind power production of 2–4 W m?2 can be sustained over large areas. New results from a mesoscale model suggest that wind power production is limited to about 1 W m?2 at wind farm scales larger than about 100 km2. We find that the mesoscale model results are quantitatively consistent with results from global models that simulated the climate response to much larger wind power capacities. Wind resource estimates that ignore the effect of wind turbines in slowing large-scale winds may therefore substantially overestimate the wind power resource.

Amanda S Adams; David W Keith

2013-01-01T23:59:59.000Z

91

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

92

Offshore wind speed and wind power characteristics for ten locations in Aegean and Ionian Seas  

Science Journals Connector (OSTI)

This paper utilizes wind speed data measured at 3 and 10 ... and Aegean Seas to understand the behaviour of wind and thereafter energy yield at these stations using 5 MW rated power offshore wind turbine. With wind

HARALAMBOS S BAGIORGAS; GIOULI MIHALAKAKOU…

2012-08-01T23:59:59.000Z

93

WINDExchange: Wind Economic Development Resources and Tools  

Wind Powering America (EERE)

page lists wind-related economic development resources and tools such as publications, Web resources, and news. Search the WINDExchange Database Choose a Type of Information All...

94

Wind Technology Advancements and Impacts on Western Wind Resources (Presentation)  

SciTech Connect

Robi Robichaud made this presentation at the Bureau of Land Management West-wide Wind Opportunities and Constraints Mapping (WWOCM) Project public meeting in Denver, Colorado in September 2014. This presentation outlines recent wind technology advancements, evolving turbine technologies, and industry challenges. The presentation includes maps of mean wind speeds at 50-m, 80-m, and 100-m hub heights on BLM lands. Robichaud also presented on the difference in mean wind speeds from 80m to 100m in Wyoming.

Robichaud, R.

2014-09-01T23:59:59.000Z

95

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

96

Globally competitive variable-speed wind turbines  

SciTech Connect

This paper focuses on the design issues which must be addressed if variable-speed wind turbines are to compete in the global marketplace. The paper examines how component-specific design decisions must be made on a system level if an optimized system is to be the result. The relationships among the blades, the generator and the utility interface are considered in detail, using the conceptual design of a 12 kW variable-speed wind turbine (the AOC 8/12) as a running example. The turbine is based on a direct-drive variable-reluctance generator (VRG), a single- or three-phase utility interface as appropriate, and a three-bladed rotor with fixed pitch. A preliminary turbine specification is provided, along with candidate power-speed curves and annual energy output. This paper documents the continuing development and commercialization of this technology which is being taken from the proof-of-concept stage and is now headed for field testing.

Torrey, D.A. [Rensselaer Polytechnic Institute, Troy, NY (United States); Childs, S.E.; Johnson, B.; Carter, J. [Atlantic Orient Corp., Norwich, VT (United States)

1995-12-31T23:59:59.000Z

97

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?

98

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?

99

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

100

Geographical and seasonal variability of the global “practical” wind resources  

Science Journals Connector (OSTI)

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

Cristina L. Archer; Mark Z. Jacobson

2013-01-01T23:59:59.000Z

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

Dynamical Downscaling of Wind Speed in Complex Terrain Prone To Bora-Type Flows  

Science Journals Connector (OSTI)

The results of numerically modeled wind speed climate, a primary component of wind energy resource assessment in the complex terrain of Croatia, are given. For that purpose, dynamical downscaling of 10 yr (1992–2001) of the 40-yr ECMWF Re-Analysis ...

Kristian Horvath; Alica Baji?; Stjepan Ivatek-Šahdan

2011-08-01T23:59:59.000Z

102

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

103

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?

104

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?

105

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?

106

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?

107

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?

108

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?

109

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?

110

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?

111

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?

112

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?

113

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?

114

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?

115

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?

116

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?

117

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?

118

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?

119

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?

120

Using ADCP Background Sound Levels to Estimate Wind Speed  

Science Journals Connector (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

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

Four Corners Wind Resource Center Webinar: Building Utility-Scale...  

Office of Environmental Management (EM)

Four Corners Wind Resource Center Webinar: Building Utility-Scale Wind: Permitting and Regulation Lessons for County Decision-Makers Four Corners Wind Resource Center Webinar:...

122

Assessment of Offshore Wind Energy Resources for the United States...  

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

Assessment of Offshore Wind Energy Resources for the United States Assessment of Offshore Wind Energy Resources for the United States This report summarizes the offshore wind...

123

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

E-Print Network (OSTI)

around buildings. The software model has been used to evaluate the wind energy potential on the campus-site. Comparisons between the measurements and the predicted wind speeds allowed validation of the software results of Technology, 2Meteodyn Objectives Conclusions References [1] TopoWind software, User Manual [2] Wind Resource

124

Title: Ontario Wind Resources Information Ontario Ministry of Natural Resources  

E-Print Network (OSTI)

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

125

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

126

A comparison of wind speed shears for frontal and undisturbed synoptic conditions  

Science Journals Connector (OSTI)

Wind speed shear parameters derived from data collected at ... conditions (cold frontal passage), all undisturbed winds, undisturbed high winds, and undisturbed low winds. The exponential values of the wind speed

Ching-Ming Sheih

127

Assessment of wind and solar energy resources in Batna, Algeria  

Science Journals Connector (OSTI)

Due to several climate changes caused by greenhouse gas and to the increasing need for clean energies, scientists drew attention to renewable energy sources, which are the most suitable solution in the future. Sparsely populated and flat open terrains observed in Batna region (North East of Algeria) and its semi-arid climate, make it a promising region for the development of solar and wind energies. In this article, we analyzed ten years of daily wind speed data in a remote area of Batna: Mustafa Ben Boulaid Airport. Wind power availability, as well as annual mean values of wind speed and power, were estimated. Frequency distribution of daily totals of wind speed data were counted and illustrated too. The results have been used to estimate net energy output of different wind turbines. This simulation shows a difference in wind generators production and allows us to choose the best wind turbine adapted to site conditions. Since solar and wind energy resources may be used to compensate each other, we evaluated also the solar potential of the same area.

Mounir Aksas; Amor Gama

2011-01-01T23:59:59.000Z

128

Reliability models of wind farms considering wind speed correlation and WTG outage  

Science Journals Connector (OSTI)

Abstract Wind speed correlation and wind turbine generator (WTG) outage are two factors affecting the reliability model of wind farms, but they are not addressed simultaneously in the existing literature. Meanwhile, WTG outage is reported to be dependent with wind speed to some extent. Therefore, the extended reliability models of wind farms incorporating both of these two factors and the dependency between WTG outage and wind speed are proposed in this paper. To consider the uncertainties and dependencies of wind speed and WTG failure, Copula method is applied to simulate correlated random variables representing for wind speed and the number of failed WTG units. Moreover, the linear apportioning technique is used to create multistate reliability models of wind farms from hourly wind power models. A number of sensitivity analyses on the modified IEEE RTS with wind power are conducted to validate the proposed reliability models for generation adequacy assessment. Case studies show that the generation adequacy indices increase with the correlation of wind speed and WTG forced outage rate (FOR). It is meaningful to point out that the effect of dependency between wind speed and WTG FOR on generation adequacy is minimal when WTG outages are independent, but it will be substantially larger when WTG outages are highly dependent. The proposed multistate reliability models of wind farms provide foundation for the reliability assessment of power systems with wind power integrated.

Fan Chen; Fangxing Li; Zhinong Wei; Guoqiang Sun; Jun Li

2015-01-01T23:59:59.000Z

129

MOWII Webinar: Wind Development Cultural Resource Management  

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

During the planning stages, wind energy development can be affected by the regulatory process relative to cultural resource management issues. Section 106 of the National Historic Preservation Act ...

130

0 Riso-R-434 Wind Speed and Direction  

E-Print Network (OSTI)

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

131

Ocean Wind Speed Climatology from Spaceborne SAR Imagery  

Science Journals Connector (OSTI)

Spaceborne synthetic aperture radar (SAR) imagery can make high-resolution (?500 m) ocean wind speed measurements. The authors anticipate reprocessing the full decade and a half of Radarsat-1 SAR imagery and generating a SAR wind speed archive. These data ...

Frank M. Monaldo; Xiaofeng Li; William G. Pichel; Christopher R. Jackson

2014-04-01T23:59:59.000Z

132

Atmospheric Circulation Effects on Wind Speed Variability at Turbine Height  

Science Journals Connector (OSTI)

Mean monthly wind speed at 70 m above ground level is investigated for 11 sites in Minnesota for the period 1995–2003. Wind speeds at these sites show significant spatial and temporal coherence, with prolonged periods of above- and below-normal ...

Katherine Klink

2007-04-01T23:59:59.000Z

133

Wind Energy Resource Atlas of Southeast China  

SciTech Connect

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

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

2002-11-01T23:59:59.000Z

134

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":""}]}

135

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

Open Energy Info (EERE)

Kenya from RisoeDTU Kenya from RisoeDTU Dataset Summary Description (Abstract): These data are results from the KAMM/WASP studies for Kenya. The KAMM/WAsP methodology uses a set of wind classes to represent wind conditions for the mapped region. A mesoscale simulation for each wind class, using KAMM (Karlsruhe Mesoscale Model), is performed and statistics performed on the model output. The results are a summary of the simulated wind climate, and ii. a wind atlas, a summary of the wind climate standardized to flat, uniform roughness terrain. (Purpose): The product is intended to be used to estimate the wind resource potential in the country including the the spatial variability. This map covers regions where long term measurements are not available. In a sense this is the point of the

136

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

Open Energy Info (EERE)

Bangladesh from RisoeDTU Bangladesh from RisoeDTU Dataset Summary Description (Abstract): These data are results from the KAMM/WASP studies for Bangladesh. Version 2 is an updated version of the earlier release and includes an adjustment to Weibull A and k to bring the Atlas values into better agreement with observations. See supplemental information.The KAMM/WAsP methodology uses a set of wind classes to represent wind conditions for the mapped region. A mesoscale simulation for each wind class, using KAMM (Karlsruhe Mesoscale Model), is performed and statistics performed on the model output. The result is i. a wind resource map, a summary of the simulated wind climate, and ii. a wind atlas, a summary of the wind climate standardized to flat, uniform roughness terrain. (Purpose): The product is intended to be used to

137

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

138

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

139

Wind Speeds at Heights Crucial for Wind Energy: Measurements and Verification of Forecasts  

Science Journals Connector (OSTI)

Wind speed measurements from one year from meteorological towers and wind turbines at heights between 20 and 250 m for various European sites are analyzed and are compared with operational short-term forecasts of the global ECMWF model. The ...

Susanne Drechsel; Georg J. Mayr; Jakob W. Messner; Reto Stauffer

2012-09-01T23:59:59.000Z

140

A Technique for Deducing Wind Direction from Satellite Microwave Measurements of Wind Speed  

Science Journals Connector (OSTI)

A technique is presented to deduce wind direction from satellite microwave measurements of wind speed information. The technique, based on simple Ekman boundary layer dynamics, makes use of surface pressure fields routinely analyzed at the ...

Tsann-wang Yu

1987-09-01T23:59:59.000Z

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

Evaluation of NSCAT-2 Wind Vectors by Using Statistical Distributions of Wind Speeds and Directions  

Science Journals Connector (OSTI)

In order to validate wind vectors derived from the NASA scatterometer (NSCAT), statistical distributions of wind speeds and directions retrieved by the NSCAT- ... model function have been investigated by comparis...

Naoto Ebuchi

2000-04-01T23:59:59.000Z

142

MODELLING THE VERTICAL WIND SPEED AND TURBULENCE INTENSITY PROFILES AT PROSPECTIVE OFFSHORE WIND FARM SITES  

E-Print Network (OSTI)

MODELLING THE VERTICAL WIND SPEED AND TURBULENCE INTENSITY PROFILES AT PROSPECTIVE OFFSHORE WIND for conditions important for offshore wind energy utilisation are compared and tested: Four models tested with data from the offshore field measurement RĂždsand by extrapolating the measured 10 m wind

Heinemann, Detlev

143

Wind Integration, Transmission, and Resource Assessment andCharacteri...  

Energy Savers (EERE)

& Publications Wind Integration, Transmission, and Resource Assessment and Characterization Projects Offshore Wind Projects Testing, Manufacturing, and Component Development...

144

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

145

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

146

File:CV WindSpeed.pdf | Open Energy Information  

Open Energy Info (EERE)

WindSpeed.pdf WindSpeed.pdf Jump to: navigation, search File File history File usage Cape Verde-Map Summarizing Average Wind Speed (m/s) Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 246 KB, MIME type: application/pdf) Description Cape Verde-Map Summarizing Average Wind Speed (m/s) Sources ECOWAS Creation Date 2011/11/14 Coordinates 16.002082°, -24.013197° File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 11:43, 14 November 2011 Thumbnail for version as of 11:43, 14 November 2011 1,650 × 1,275 (246 KB) STobin (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information)

147

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

Open Energy Info (EERE)

Ethiopia from RisoeDTU Ethiopia from RisoeDTU Dataset Summary Description (Abstract): These data are results from the KAMM/WASP studies for Ethiopia. The KAMM/WAsP methodology uses a set of wind classes to represent wind conditions for the mapped region. A mesoscale simulation for each wind class, using KAMM (Karlsruhe Mesoscale Model), is performed and statistics performed on the model output. The results are a summary of the simulated wind climate, and ii.a wind atlas, a summary of the wind climate standardized to flat, uniform roughness terrain. (Purpose): The product is intended to be used to estimate the wind resource potential in the country including the spatial variability. This map covers regions where long term measurements are not available. In a sense this is the point of the mapping exercise, but it also means that verification of results has not been as complete would be ideal. There is some concern that the results may underestimate the resource. However, new measurement data is coming and revisions to the map may be made if necessary as verification is carried out.

148

A comparison between a hydro-wind plant and wind speed forecasting using ARIMA models  

Science Journals Connector (OSTI)

In this paper we will present a comparison between two options for harnessing wind power. We will first analyze the behaviour of a wind farm that goes to the electricity market having previously made a forecast of wind speed while accepting the deviation penalties that these may incur. Second we will study the possibility of the wind farm not going to the market individually but as part of a hydro-wind plant.

2014-01-01T23:59:59.000Z

149

Anemometer Data (Wind Speed, Direction) for Laurel, Nebraska (2001 - 2002)  

Open Energy Info (EERE)

Laurel, Nebraska (2001 - 2002) Laurel, Nebraska (2001 - 2002) Dataset Summary Description Wind data collected from Laurel, Nebraska from a 20-meter anemometer as part of the Western Area Power Administration anemometer loan program. Ten-minute average wind speed and direction is available for 2001 - 2002. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. A dynamic map displaying all available data from DOE anemometer loan programs is available http://www.windpoweringamerica.gov/anemometerloans/projects.asp. Source EERE Date Released November 09th, 2010 (4 years ago) Date Updated November 09th, 2010 (4 years ago) Keywords wind wind direction wind speed Data text/csv icon Jun 11, 2001 - Jul 1, 2001 (csv, 144 KiB)

150

The Influence of Wind Speed on Shallow Marine Cumulus Convection  

Science Journals Connector (OSTI)

The role of wind speed on shallow marine cumulus convection is explored using large-eddy simulations and concepts from bulk theory. Focusing on cases characteristic of the trades, the equilibrium trade wind layer is found to be deeper at stronger ...

Louise Nuijens; Bjorn Stevens

2012-01-01T23:59:59.000Z

151

Correcting Wind Speed Measurements for Site Obstructions  

Science Journals Connector (OSTI)

The effects of obstructions on winds measured by the 30 station FLOWS (FAA-Lincoln Laboratory Operational Weather Studies) mesonet and the 6 station FAA LLWAS (Low Level Wind Shear Alèrt System) near Memphis, TN in 1985 are analyzed. The slowing ...

Marilyn M. Wolfson; T. Theodore Fujita

1989-04-01T23:59:59.000Z

152

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

153

United States Wind Resource Potential Chart  

Wind Powering America (EERE)

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...

154

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

155

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

Open Energy Info (EERE)

Nepal from RisoeDTU Nepal from RisoeDTU Dataset Summary Description (Abstract): These data are results from the KAMM/WASP studies for Nepal. The KAMM/WAsP methodology uses a set of windclasses to represent wind conditions for the mapped region. A mesoscale simulation for each wind class, using KAMM (Karlsruhe Mesoscale Model), is performed and statistics performed on the model output. The results are a summary of the simulated wind climate, and a wind atlas, a summary of the wind climate standardized to flat, uniform roughness terrain. (Purpose): The product is intended to be used to estimate the wind resource potential in the country including the the spatial variability. This map covers regions where long term measurements are not available. In a sense this is the point of the mapping exercise, but it also means that verification of results has not been as complete would be ideal. There is some concern that the results may underestimate the resource. However, new measurement data is coming and revisions to the map may be made if necessary as verification is carried out.

156

The Solar Wind Helium Abundance: Variation with Wind Speed and the Solar Cycle  

E-Print Network (OSTI)

The Solar Wind Helium Abundance: Variation with Wind Speed and the Solar Cycle Matthias R. Aellig Alamos National Lab., Los Alamos, NM 87545 Abstract We investigate the helium abundance in the solar wind of 1994 and early 2000 are analyzed. In agreement with similar work for previous solar cycles, we find

Richardson, John

157

Wind Energy Resources and Technologies | Department of Energy  

Energy Savers (EERE)

Wind Energy Resources and Technologies Wind Energy Resources and Technologies Photo of two wind turbines standing on a mountain in front of a cloudy blue sky. The Department of...

158

Ris-PhD-Report Accounting for the speed shear in wind  

E-Print Network (OSTI)

RisĂž-PhD-Report Accounting for the speed shear in wind turbine power performance measurement Rozenn for the speed shear in wind turbine power performance measurement Division: Wind Energy Division Abstract the measurement of the wind speed at hub height and the air density to characterise the wind field in front

159

Anemometer Data (Wind Speed, Direction) for Ugashik, AK (2001 - 2002) |  

Open Energy Info (EERE)

0 0 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278290 Varnish cache server Anemometer Data (Wind Speed, Direction) for Ugashik, AK (2001 - 2002) Dataset Summary Description Wind data collected from Ugashik Traditional Village in Alaska from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2001 through 2002, as is wind direction and turbulence data. Data is reported from a height of 20 m. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. A dynamic map displaying all available data from DOE anemometer loan programs is available http://www.windpoweringamerica.gov/anemometerloans/projects.asp.

160

Anemometer Data (Wind Speed, Direction) for Tanana, AK (2001 - 2002) |  

Open Energy Info (EERE)

40 40 Varnish cache server Anemometer Data (Wind Speed, Direction) for Tanana, AK (2001 - 2002) Dataset Summary Description Wind data collected from Tanana Village in Alaska from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2001 through 2002, as is wind direction and turbulence data. Data is reported from a height of 20 m. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. A dynamic map displaying all available data from DOE anemometer loan programs is available http://www.windpoweringamerica.gov/anemometerloans/projects.asp. Source EERE Date Released November 09th, 2010 (4 years ago) Date Updated November 09th, 2010 (4 years ago)

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

Variable speed wind turbine for maximum power capture using adaptive fuzzy integral sliding mode control  

Science Journals Connector (OSTI)

This paper presents a nonlinear control approach to variable speed wind turbine (VSWT) with a wind speed estimator. The dynamics of the wind turbine (WT) is derived from single ... has been considered for exact e...

Saravanakumar Rajendran…

2014-06-01T23:59:59.000Z

162

Variable-Speed Wind Generator System with Maximum Output Power Control  

Science Journals Connector (OSTI)

To achieve maximum output power from wind generator systems, the rotational speed of wind generators should be adjusted in real time according to natural wind speed. This chapter pays attention to an optimum rota...

Yoko Amano

2013-01-01T23:59:59.000Z

163

A wind speed retrieval algorithm by combining 6 and 10 GHz data from Advanced Microwave Scanning Radiometer: Wind speed inside hurricanes  

Science Journals Connector (OSTI)

A wind speed retrieval algorithm was developed using 6 and ... aboard AQUA, for the purpose of retrieving wind speed inside rainstorms, primarily hurricanes and typhoons. ... because the brightness temperature se...

Akira Shibata

2006-06-01T23:59:59.000Z

164

MEASUREMENT OF WIND SPEED FROM COOLING LAKE THERMAL IMAGERY  

SciTech Connect

The Savannah River National Laboratory (SRNL) collected thermal imagery and ground truth data at two commercial power plant cooling lakes to investigate the applicability of laboratory empirical correlations between surface heat flux and wind speed, and statistics derived from thermal imagery. SRNL demonstrated in a previous paper [1] that a linear relationship exists between the standard deviation of image temperature and surface heat flux. In this paper, SRNL will show that the skewness of the temperature distribution derived from cooling lake thermal images correlates with instantaneous wind speed measured at the same location. SRNL collected thermal imagery, surface meteorology and water temperatures from helicopters and boats at the Comanche Peak and H. B. Robinson nuclear power plant cooling lakes. SRNL found that decreasing skewness correlated with increasing wind speed, as was the case for the laboratory experiments. Simple linear and orthogonal regression models both explained about 50% of the variance in the skewness - wind speed plots. A nonlinear (logistic) regression model produced a better fit to the data, apparently because the thermal convection and resulting skewness are related to wind speed in a highly nonlinear way in nearly calm and in windy conditions.

Garrett, A; Robert Kurzeja, R; Eliel Villa-Aleman, E; Cary Tuckfield, C; Malcolm Pendergast, M

2009-01-20T23:59:59.000Z

165

Wind resource assessment and siting  

SciTech Connect

The objective of this program was to investigate the feasibility of employing wind power as a possible energy source to the New Hampshire power grid. Wind data was obtained from the New Hampshire State Forestry Service, the State Climatologist as well as other miscellaneous sources. Data on power generation and the power grid system was received from the Public Service Company of New Hampshire. Using this information as a data base, siting studies were made which indicated that there was a potential for a wind energy system in New Hampshire. Costs of fossil fuel generated power were compared to estimated wind generated production costs of electric energy fed into the Public Service Company of New Hampshire lines for various potential WECS sites. Based on the data and analysis provided in this study, it appears that WECS can be usefully developed in New Hampshire which would result in significant savings in fuel oil consumption.

Bortz, S.A. (IIT Research Inst., Chicago, IL); Fieldhouse, I.; Budenholzer, R.A.

1980-01-01T23:59:59.000Z

166

Wind energy resource atlas. Volume 9. The Southwest Region  

SciTech Connect

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

167

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.

168

NANA Wind Resource Assessment Program Final Report  

SciTech Connect

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

Jay Hermanson

2010-09-23T23:59:59.000Z

169

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

SciTech Connect

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

Robert W. Preus; DOE Project Officer - Keith Bennett

2008-04-23T23:59:59.000Z

170

Wind resource assessment of eastern coastal region of Saudi Arabia  

Science Journals Connector (OSTI)

Depleting oil and gas reserves, combined with growing concerns of global warming, have made it inevitable to seek energy from renewable energy sources such as wind. The utilization of energy from wind is becoming increasingly attractive and is being widely used/disseminated for substitution of oil-produced energy, and eventually to minimize atmospheric degradation. Quantitative assessment of wind resource is an important driving element in successful establishment of a wind farm/park at a given location. More often than not, windenergy resources are relatively better along coastlines. In the present study, hourly mean wind-speed data of the period 1986–1997 recorded at the solar radiation and meteorological station, Dhahran (26°32? N, 50°13? E, eastern coastal plain of Saudi Arabia), have been analyzed to present different characteristics of wind speed in considerable depth such as: yearly, monthly, diurnal variations of wind speed, etc. The long-term monthly average wind speeds for Dhahran range from 4.2–6.4 m/s. More importantly, the study deals with impact of hub height on wind energy generation. Attention has also been focussed on monthly average daily energy generation from different sizes of commercially available wind machines (150, 250, 600 kW) to identify optimum wind machine size from energy production point of view. It has been found that for a given 6 MW wind farm size, at 50 m hub height, cluster of 150 kW wind machines yields about 48% more energy as compared to 600 kW wind machines. Literature shows that commercial/residential buildings in Saudi Arabia consume an estimated 10–40% of the total electric energy generated. So, concurrently, as a case study, attempt has been made to investigate/examine the potential of utilizing hybrid (wind+diesel) energy conversion systems to meet the load requirements of hundred typical 2-bedroom residential buildings (with annual electrical energy demand of 3512 MWh). The hybrid systems considered in the present case-study consist of different combinations of wind machines (of various capacities), supplemented with battery storage and diesel back-up. The deficit energy generated from the back-up diesel generator and the number of operational hours of the diesel system to meet a specific annual electrical energy demand of 3512 \\{MWh\\} have also been presented. The diesel back-up system is operated at times when the power generated from wind energy conversion systems (WECS) fails to satisfy the load and when the battery storage is depleted. The evaluation of hybrid system shows that with seven 150 kW WECS and three days of battery storage, the diesel back-up system has to provide 17.5% of the load demand. However, in absence of battery storage, about 37% of the load needs to be provided by the diesel system.

M.A. Elhadidy; S.M. Shaahid

2007-01-01T23:59:59.000Z

171

Manual and Semiautomated Wind Direction Editing for Use in the Generation of Synthetic Aperture Radar Wind Speed Imagery  

Science Journals Connector (OSTI)

Previous studies have demonstrated that satellite synthetic aperture radar (SAR) can be used as an accurate scatterometer, yielding wind speed fields with subkilometer resolution. This wind speed generation is only possible, however, if a ...

George S. Young; Todd D. Sikora; Nathaniel S. Winstead

2007-06-01T23:59:59.000Z

172

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

173

Statistics of the Wind-Speed Difference Between Points with Cross-Wind Separation  

Science Journals Connector (OSTI)

This note reports statistics of instantaneous wind-speed differences between pairs of points in the...z...= 2?3 m), but separated by large distances (ranging up to 70 m) along an axis transverse to the direction ...

J. D. Wilson

2013-01-01T23:59:59.000Z

174

Intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner Mongolia, China  

Science Journals Connector (OSTI)

Abstract The exploration of wind energy has become one of the most significant aims for countries all around the world. This is due to its low impact on the environment and its sustainable development. Therefore, it is very important to develop an effective and scientific way to evaluate wind resource potential and so that suitable wind turbines can be chosen. In this study, the 4-times daily wind speed data for the past 63 years in Huitengxile of Inner Mongolia in China was collected first to do mutation tests using Sliding T-test and Sliding F-test. The test results indicated that the wind speeds exhibited a significant change in the mean value and a big variation in variance. Secondly, in order to improve the assessment accuracy, three intelligent optimization algorithms were applied to estimate Weibull’s parameters, including Particle Swarm Optimization (PSO), Differential Evolution (DE) and Genetic Algorithm (GA). Finally, some new criteria, such as matching index, turbine cost index and the integrated matching index, were proposed in order to choose the most fitting wind turbine in accordance with the local environment and economic cost.

Yao Dong; Jianzhou Wang; He Jiang; Xiaomeng Shi

2013-01-01T23:59:59.000Z

175

Wind Integration, Transmission, and Resource Assessment and Characterization Projects  

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

This report covers the Wind and Water Power Program’s Wind Integration, Transmission, and Resource Assessment and Characterization Projects from FY 2006 to FY 2014.

176

Wind Energy Resource Atlas of the Dominican Republic  

SciTech Connect

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

177

Wind Integration, Transmission, and Resource Assessment and Characterization Projects  

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

This report covers the Wind and Water Power Technologies Office’s Wind integration, transmission, and resource assessment and characterization projects from fiscal years 2006 to 2014.

178

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?

179

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?

180

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?

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

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?

182

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?

183

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?

184

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?

185

Characteristics of wind speed and wind direction in the atmospheric boundary layer on the southern coast of Bulgaria  

Science Journals Connector (OSTI)

The characteristics of wind speed and wind direction in the boundary atmospheric layer measured ... meteorological station. The sodar measurement data on wind parameters at different heights in different months ....

M. A. Novitskii; L. K. Kulizhnikova…

2012-03-01T23:59:59.000Z

186

Ris-R-Report Comparison of NWP wind speeds and  

E-Print Network (OSTI)

for nuclear power plants, and for RisĂž, the site of the Danish nuclear research reactors now being RisĂž 5 German nuclear power plant sites 9 BrunsbĂŒttel 9 Brokdorf 12 KrĂŒmmel 15 Obrigheim 18) of wind speed and direction has been compared to measurements for seven German sites for nuclear power

187

Short term wind speed estimation in Saudi Arabia  

Science Journals Connector (OSTI)

Abstract In this paper, three methods are used for the prediction of wind speed, 12 h ahead, based on 72 h previous wind speed values at three locations viz. Rawdat Bin Habbas (inland north), Juaymah (east coast), and Dhulom (inland western region) in Saudi Arabia. These methods are Particle Swarm Optimization (PSO), Abductory Induction Mechanism (AIM), and the Persistence (PER) model. The available data at each site was divided into three consecutive groups. The first 50% was used for training, the second 25% for validation, and the remaining 25% for testing. The validation data set was used to select the network architecture and other user defined parameters. The testing data was used only to assess the performance of the networks on future unseen data that has not been used for training or model selection. For each of the three methods, each of 12 networks was trained to produce the wind speed at one of the next 12 h. Relatively, Close agreements were found between the predicted and measured hourly mean wind speed for all three locations with coefficient of correlation R2 values between 81.7% and 98.0% for PSO, between 79.8% and 98.5% for AIM and between 59.5% and 88.4% for persistence model. Both PSO and AIM methods underestimated WS values during most hours with an average value of 0.036 m/s and 0.02 m/s, respectively. However, persistence model overestimated the WS by an average value of 0.51 m/s. It is shown that the two developed models outperformed the persistence model on predicting wind speed 12 h ahead of time with slight advantage to the PSO method.

Mohamed Ahmed Mohandes; Shafiqur Rehman

2014-01-01T23:59:59.000Z

188

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

189

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

190

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

191

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

192

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

193

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

194

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

195

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

196

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

197

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

198

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

199

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

200

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

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

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

202

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

203

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

204

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

205

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

206

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

207

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

208

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

209

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

210

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

211

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

212

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

213

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

214

The Potential Wind Power Resource in Australia: A New Perspective  

E-Print Network (OSTI)

Australia is considered to have very good wind resources, and the utilization of this renewable energy resource is increasing. Wind power installed capacity increased by 35% from 2006 to 2011 and is predicted to account ...

Hallgren, Willow

215

The Potential Wind Power Resource in Australia: A New Perspective  

E-Print Network (OSTI)

Australia’s wind resource is considered to be very good, and the utilization of this renewable energy resource is increasing rapidly: wind power installed capacity increased by 35% from 2006 to 2011 and is predicted to ...

Hallgren, Willow

216

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.

217

Hi-Q Rotor - Low Wind Speed Technology  

SciTech Connect

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

Todd E. Mills; Judy Tatum

2010-01-11T23:59:59.000Z

218

Improvement of Offshore Wind Resource Modeling in the Mid-  

E-Print Network (OSTI)

Improvement of Offshore Wind Resource Modeling in the Mid- Atlantic Bight Wind Energy Symposium Sienkiewicz , Chris Hughes 26 February 2013 #12;Improving Atmospheric Models for Offshore Wind Resource Interaction Tower ­ 23 m NOAA Buzzard's Bay Tower ­ 25 m Cape Wind Tower (60 m from 2003-2011; just platform

Firestone, Jeremy

219

AWEA Wind Resource & Project Energy Assessment Seminar 2014  

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

Wind resource assessment from the outside looking in: How are we doing, what are we delivering, and is it working?

220

Wind Speed Retrieval Based on Sea Surface Roughness Measurements from Spaceborne Microwave Radiometers  

Science Journals Connector (OSTI)

Wind speed is the main factor responsible for the increase in ocean thermal emission because sea surface emissivity strongly depends on surface roughness. An alternative approach to estimate the surface wind speed (SWS) as a function of surface ...

Sungwook Hong; Inchul Shin

2013-02-01T23:59:59.000Z

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

Comparison of Two ARMA-GARCH Approaches for Forecasting the Mean and Volatility of Wind Speed  

Science Journals Connector (OSTI)

In this study, we develop two ARMA-GARCH models for predicting the mean and volatility of wind speed. The first model employs the standalone ARMA-GARCH model for modeling the mean wind speed and the variance simu...

Ergin Erdem; Jing Shi; Ying She

2014-01-01T23:59:59.000Z

222

Development of All-fiber Coherent Doppler Lidar to Measure Atmosphere Wind Speed  

Science Journals Connector (OSTI)

An all-fiber pulsed coherent Doppler lidar is developed to measure wind profiles. The maximum horizontal and vertical range for wind speed is 4.2km and 2km with speed accuracy of...

Liu, Jiqiao; Chen, Weibiao; Zhu, Xiaopeng

223

Measurements of Wind Speed, Direction, and Vertical Profiles in an Evergreen Forest in Central Cambodia  

Science Journals Connector (OSTI)

The wind characteristics of speed, direction, and vertical profile were studied ... Thom Province, Cambodia. Three seasonal patterns of wind speeds and directions were identified. The first occurred ... , as well...

Koji Tamai; Akira Shimizu…

2007-01-01T23:59:59.000Z

224

The Potential Wind Power Resource in Australia: A New Perspective*  

E-Print Network (OSTI)

The Potential Wind Power Resource in Australia: A New Perspective* Willow Hallgren, Udaya Bhaskar: globalchange@mit.edu Website: http://globalchange.mit.edu/ #12;The Potential Wind Power Resource in Australia, and the utilization of this renewable energy resource is increasing rapidly: wind power installed capacity increased

225

The Potential Wind Power Resource in Australia: A New Perspective  

E-Print Network (OSTI)

The Potential Wind Power Resource in Australia: A New Perspective Willow Hallgren, Udaya Bhaskar;1 The Potential Wind Power Resource in Australia: A New Perspective Willow Hallgren* , Udaya Bhaskar Gunturu, and the utilization of this renewable energy resource is increasing. Wind power installed capacity increased by 35

226

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?

227

Applying micro scales of horizontal axis wind turbines for operation in low wind speed regions  

Science Journals Connector (OSTI)

Abstract Utilizing the micro scales of wind turbines could noticeably supply the demand for the electricity in low wind speed regions. Aerodynamic design and optimization of the blade, as a main part of a wind turbine, were addressed in the study. Three micro scales of horizontal axis wind turbines with output power of 0.5, 0.75 and 1 kW were considered and the geometric optimization of the blades in terms of the two involved parameters, chord and twist, was undertaken. In order to improve the performance of the turbines at low wind speeds, starting time was included in an objective function in addition to the output power – the main and desirable goal of the wind turbine blade design. A purpose-built genetic algorithm was employed to maximize both the output power and the starting performance which were calculated by the blade-element momentum theory. The results emphasize that the larger values of the chord and twist at the root part of the blades are indispensable for the better performance when the wind speed is low. However, the noticeable value of the generator resistive torque could largely delay the starting of the micro-turbines especially for the considered smaller size, 0.5 kW, where the starting aerodynamic torque could not overcome the generator resistive torque. For that size, an increase in the number of blades improved both the starting performance and also output power.

Abolfazl Pourrajabian; Reza Ebrahimi; Masoud Mirzaei

2014-01-01T23:59:59.000Z

228

Simultaneous Retreival of Surface Wind Speed and Rain Rate using Radar and Radiometer Measurements  

E-Print Network (OSTI)

to simultaneously retrieve the vertical profile of precipitation and the near-surface wind speed. ResultsSimultaneous Retreival of Surface Wind Speed and Rain Rate using Radar and Radiometer Measurements simultaneously estimates the over ocean near-surface wind speed and rain rate profile using data from a 10.7 GHz

Ruf, Christopher

229

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

E-Print Network (OSTI)

A Robust STATCOM Control to Augment LVRT capability of Fixed Speed Wind Turbines M. J. Hossain, H Compensator (STATCOM) to enhance the Low-Voltage Ride- Through (LVRT) capability of fixed-speed wind turbines cost and maintenance due to rugged brushless construction. Constant speed wind turbines equipped

Pota, Himanshu Roy

230

Ris-R-Report Analysis of vertical wind direction and speed  

E-Print Network (OSTI)

RisĂž-R-Report Analysis of vertical wind direction and speed gradients for data from the met. mast Cariou, Rozenn Wagner, Julia Gottschall Title: Analysis of vertical wind direction and speed gradients. Finally, the direction shear was analysed as function of wind speed and compared to the corresponding

231

Wind speed influence on phytoplankton bloom dynamics in the Southern Ocean Marginal Ice Zone  

E-Print Network (OSTI)

Niebauer, H. J. (1982), Wind and melt driven circulation inJ. K. Moore (2007), Wind speed influence on phytoplanktonby the NASA Ocean Vector Winds Science Team. Data are

Fitch, Dillon T; Moore, J. Keith

2007-01-01T23:59:59.000Z

232

Observed and CAM3 GCM Sea Surface Wind Speed Distributions: Characterization, Comparison, and Bias Reduction  

E-Print Network (OSTI)

data, all from 2000 to 2005. Wind speed mean, 90th percentile, standard deviation, and Weibull shape and energy fluxes depend nonlinearly on wind speed magnitude, are sensitive to the tails of the wind statistics, particularly in the Southern Hemisphere storm track, consistent with the hypothesis. These wind

Zender, Charles

233

Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements  

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

Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions of...

234

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

235

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

236

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

237

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

238

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

239

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

240

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

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

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

242

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

243

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

244

Cost of Wind Energy: Comparing Distant Wind Resources to Local Resources in the Midwestern United States  

Science Journals Connector (OSTI)

A general expression of the total savings from reducing the capital costs of developing a wind site with capacity factor CF+?CF, relative to the capital costs of developing the local site with capacity factor CF, is given by eq 1 (see Supporting Information section 1.1 for derivation) where Z is the annual generation requirement (kWh/year), 8670 is the number of hours in a year, WUC is the installed wind capital cost estimate ($/kW), LQCM is the cost multiplier for low quality wind requiring higher hub height (see Section 3.4), CF is the unconstrained capacity factor, ?CF is the increase in unconstrained CF at distant wind site relative to local site, TL is the transmission loss, as a percentage of total wind energy injected into the grid, TC is the transmission constraint, as a percentage of the total wind energy injected into the grid that cannot be delivered because of inadequate transmission capacity, lw is the local wind, and dw is the distant wind. ... Class 1, 2, and 3 turbines are designed for high, medium, and low speed winds, respectively (16). ... From Table 1, the impact of distance on the transmission capacity of high voltage alternating current (HVAC) lines is clear (see Supporting Information section 8). ...

David C. Hoppock; Dalia Patińo-Echeverri

2010-10-08T23:59:59.000Z

245

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

246

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?

247

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?

248

Long-distance seed dispersal by wind: disentangling the effects of species traits, vegetation types, vertical turbulence and wind speed  

Science Journals Connector (OSTI)

Long-distance dispersal (LDD) of plant seeds by wind is affected by functional traits of the ... , as well as by the meteorological parameters wind speed and vertical turbulence. The relative importance of ... fo...

Felix Heydel; Sarah Cunze; Markus Bernhardt-Römermann…

2014-07-01T23:59:59.000Z

249

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

250

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

251

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,

252

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,

253

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

254

Characterization of wind power resource in the United States*  

E-Print Network (OSTI)

Characterization of wind power resource in the United States* U. Bhaskar Gunturu and C. Adam Chemistry and Physics Characterization of wind power resource in the United States U. B. Gunturu and C. A, 120 m turbine hub heights. The wind power density (WPD) estimates at 50 m are qualitatively similar

255

Wind resource mapping of the state of Vermont  

SciTech Connect

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

256

MASON LAB B-7 WIND TUNNEL OPERATING INSTRUCTIONS Our wind tunnel is a low speed tunnel with a test section 15"x24" It has a digital controller  

E-Print Network (OSTI)

MASON LAB B-7 WIND TUNNEL OPERATING INSTRUCTIONS Our wind tunnel is a low speed tunnel with a test approximate wind tunnel speed in m/s (meters/second) and tunnel speed will go to that set point speed measure lift (~25 N) and drag (~8 N) PRECAUTIONS: ALL OBJECTS MUST BE SECURED BEFORE STARTING WIND TUNNEL

Haller, Gary L.

257

Correlation analysis for wind speed and failure rate of wind turbines using time series approach  

Science Journals Connector (OSTI)

The correlation between wind speed and failure rate (FR) of wind turbines is analyzed with time series approach. The time series of power index (PI) and FR of wind turbines are established based on historical data which are pretreated by singularity processing stationarity processing and wavelet de-noising. The trend variations of the time series are analyzed from both time domain and frequency domain by extracting the indicator functions including auto-correlation function cross-correlation function and spectral density function. A case study is given out to verify the validity of the model and the method which is based on the wind speed and failure data from January 1995 to December of 2002 in Nordjylland Denmark. Auto-correlation function and spectral density function show that time series of PI and FR have strong seasonal characteristics and quite similar periodicity while the cross-correlation function shows they keep high consistency and strong correlation. The results indicate that by calculating and monitoring PI the failure rule of wind turbines can be forecast which provides theoretical basis for preventive maintenance of wind turbines.

Chun Su; Quan Jin; Yequn Fu

2012-01-01T23:59:59.000Z

258

Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements  

SciTech Connect

Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions of wind resource, the authors of this study employed a dynamic down scaling method with the Weather Research and Forecasting model, providing detailed estimates of winds at approximately 1 km resolution in the finest nested simulation.

Lundquist, J. K.; Pukayastha, A.; St. Martin, C.; Newsom, R.

2014-03-01T23:59:59.000Z

259

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.

260

Pitch-Controlled Variable-Speed Wind Turbine Generation  

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

Pitch-Controlled Variable-Speed Pitch-Controlled Variable-Speed Wind Turbine Generation February 2000 * NREL/CP-500-27143 E. Muljadi and C.P. Butterfield Presented at the 1999 IEEE Industry Applications Society Annual Meeting Phoenix, Arizona October 3-7, 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 form of this contribution, or allow others to do so, for US Government purposes.

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

Tracking an Aerodynamic Model in a Wind Tunnel with a Stereo High-speed Imaging System  

E-Print Network (OSTI)

Tracking an Aerodynamic Model in a Wind Tunnel with a Stereo High-speed Imaging System Lichuan Gui in wind tunnel tests with a stereo high-speed imaging system. The imaging system includes two high angle, pitch angle and yaw angle of the aerodynamic model in the wind tunnel. Tests and simulations were

Gui, Lichuan

262

Sliding Mode Power Control of Variable Speed Wind Energy Conversion Systems  

E-Print Network (OSTI)

Sliding Mode Power Control of Variable Speed Wind Energy Conversion Systems B. Beltran, T. Ahmed power generation in variable speed wind energy conversion systems (VS-WECS). These systems have two variations. Index Terms--Wind energy conversion system, power generation control, sliding mode control

Boyer, Edmond

263

Letters: Neural network based hybrid computing model for wind speed prediction  

Science Journals Connector (OSTI)

This paper proposes a Neural Network based hybrid computing model for wind speed prediction in renewable energy systems. Wind energy is one of the renewable energy sources which lower the cost of electricity production. Due to the fluctuation and nonlinearity ... Keywords: Hybrid Model, Multilayer Perceptron, Neural Networks, Self Organizing Maps, Wind Speed Prediction

K. Gnana Sheela; S. N. Deepa

2013-12-01T23:59:59.000Z

264

South Dakota Wind Resource Assessment Network (WRAN)  

DOE Data Explorer (OSTI)

WRAN is a network of instrument stations sited throughout South Dakota. As of 2010, there are eleven stations, and some have been collecting data since 2001. The purpose of the WRAN:

There are several reasons why the WRAN was built. One of the most obvious is that it will allow verification of the existing resource assessments of our state. South Dakota has tremendous potential as an exporter of wind-generated electricity. There has recently been a great deal of publicity over a Pacific Northwest National Laboratories study conducted in the early 1990s that ranked the contiguous 48 states in terms of their potential to produce windpower. (Click here for the results of this study as given by the American Wind Energy Association.) South Dakota ranked fourth in that study. Also, more recently, detailed maps of the wind resource in South Dakota were produced by the National Renewable Energy Laboratory (NREL). Unfortunately, both of these studies had to rely heavily on computer-generated models and very sparse measured data, because very little appropriate measured data exists. The WRAN will provide valuable data that we anticipate will validate the NREL maps, and perhaps suggest minor adjustments.

There are many other benefits the WRAN will provide. The data it will measure will be at heights above ground that are more appropriate for predicting the performance of large modern wind turbines, as opposed to data collected at National Weather Service stations whose anemometers are usually only about 9 m (30 feet) above ground. Also, we will collect some different types of data than most wind measurement networks, which will allow a series of important studies of the potential impact and value of South Dakota's windpower. In addition, all of the WRAN data will be made available to the public via this WWWeb site. This will hopefully enable extensive informed discussion among all South Dakotans on such important topics as rural economic development and transmission system expansion. [Copied from http://sdwind.com/about/

265

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

Open Energy Info (EERE)

& Screening Website: en.openei.orgappsSWERA Equivalent URI: cleanenergysolutions.orgcontentsolar-and-wind-energy-resource-assess Language: English Policies: Deployment...

266

Wind energy resources atlas. Volume 1. Northwest region  

SciTech Connect

Information is presented concering regional wind energy resource assessment; regional features; and state features for Idaho, Montana, Oregon, Washington, and Wyoming.

Elliott, D.L.; Barchet, W.R.

1980-04-01T23:59:59.000Z

267

United States (48 Contiguous States) Wind Resource Potential...  

Wind Powering America (EERE)

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...

268

Variable speed wind turbine generator with zero-sequence filter  

DOE Patents (OSTI)

A variable speed wind turbine generator system to convert mechanical power into electrical power or energy and to recover the electrical power or energy in the form of three phase alternating current and return the power or energy to a utility or other load with single phase sinusoidal waveform at sixty (60) hertz and unity power factor includes an excitation controller for generating three phase commanded current, a generator, and a zero sequence filter. Each commanded current signal includes two components: a positive sequence variable frequency current signal to provide the balanced three phase excitation currents required in the stator windings of the generator to generate the rotating magnetic field needed to recover an optimum level of real power from the generator; and a zero frequency sixty (60) hertz current signal to allow the real power generated by the generator to be supplied to the utility. The positive sequence current signals are balanced three phase signals and are prevented from entering the utility by the zero sequence filter. The zero sequence current signals have zero phase displacement from each other and are prevented from entering the generator by the star connected stator windings. The zero sequence filter allows the zero sequence current signals to pass through to deliver power to the utility. 14 figs.

Muljadi, E.

1998-08-25T23:59:59.000Z

269

Variable Speed Wind Turbine Generator with Zero-sequence Filter  

DOE Patents (OSTI)

A variable speed wind turbine generator system to convert mechanical power into electrical power or energy and to recover the electrical power or energy in the form of three phase alternating current and return the power or energy to a utility or other load with single phase sinusoidal waveform at sixty (60) hertz and unity power factor includes an excitation controller for generating three phase commanded current, a generator, and a zero sequence filter. Each commanded current signal includes two components: a positive sequence variable frequency current signal to provide the balanced three phase excitation currents required in the stator windings of the generator to generate the rotating magnetic field needed to recover an optimum level of real power from the generator; and a zero frequency sixty (60) hertz current signal to allow the real power generated by the generator to be supplied to the utility. The positive sequence current signals are balanced three phase signals and are prevented from entering the utility by the zero sequence filter. The zero sequence current signals have zero phase displacement from each other and are prevented from entering the generator by the star connected stator windings. The zero sequence filter allows the zero sequence current signals to pass through to deliver power to the utility.

Muljadi, Eduard (Golden, CO)

1998-08-25T23:59:59.000Z

270

Variable speed wind turbine generator with zero-sequence filter  

DOE Patents (OSTI)

A variable speed wind turbine generator system to convert mechanical power into electrical power or energy and to recover the electrical power or energy in the form of three phase alternating current and return the power or energy to a utility or other load with single phase sinusoidal waveform at sixty (60) hertz and unity power factor includes an excitation controller for generating three phase commanded current, a generator, and a zero sequence filter. Each commanded current signal includes two components: a positive sequence variable frequency current signal to provide the balanced three phase excitation currents required in the stator windings of the generator to generate the rotating magnetic field needed to recover an optimum level of real power from the generator; and a zero frequency sixty (60) hertz current signal to allow the real power generated by the generator to be supplied to the utility. The positive sequence current signals are balanced three phase signals and are prevented from entering the utility by the zero sequence filter. The zero sequence current signals have zero phase displacement from each other and are prevented from entering the generator by the star connected stator windings. The zero sequence filter allows the zero sequence current signals to pass through to deliver power to the utility.

Muljadi, Eduard (Golden, CO)

1998-01-01T23:59:59.000Z

271

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

SciTech Connect

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

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

2002-11-01T23:59:59.000Z

272

File:QuikSCAT - Annual Wind Speed at 10 m.pdf | Open Energy Information  

Open Energy Info (EERE)

QuikSCAT - Annual Wind Speed at 10 m.pdf QuikSCAT - Annual Wind Speed at 10 m.pdf Jump to: navigation, search File File history File usage QuikSCAT - Annual Wind Speed at 10 m Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 1.19 MB, MIME type: application/pdf) Title Annual Wind Speed at 10 m Description QuikSCAT - Annual Wind Speed at 10 m Sources NREL, National Aeronautics and Space Administration Extent International Coordinates 0°, 0° Scatterometer measurements of the state of the ocean surface are used to estimate 10-m ocean winds in the QuikSCAT satellite data set. The QuikSCAT data are produced by Remote Sensing Systems and sponsored by the U.S. National Aeronautics and Space Administration Ocean Vector Winds Science

273

Low Wind Speed Turbine Development Project Report: November 4, 2002 - December 31, 2006  

SciTech Connect

This report summarizes work conducted by Clipper Windpower under the DOE Low Wind Speed Turbine project. The objective of this project was to produce a wind turbine that can lower the cost of energy.

Mikhail, A.

2009-01-01T23:59:59.000Z

274

An improved wind speed algorithm for “Jason-1” altimeter under tropical cyclone conditions  

Science Journals Connector (OSTI)

Rain effect and lack of in situ validation data are two main causes of tropical cyclone wind retrieval errors. The National Oceanic and Atmospheric ... (NRCS); Hurricane Research Division (HRD) wind speed, which ...

Bangyong Qin; Xuan Zhou; Honglei Zhang; Xiaofeng Yang; Rong Lu…

2014-07-01T23:59:59.000Z

275

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height  

Science Journals Connector (OSTI)

The Weather Research and Forecasting Model (WRF) with 10-km horizontal grid spacing was used to explore improvements in wind speed forecasts at a typical wind turbine hub height (80 m). An ensemble consisting of WRF model simulations with ...

Adam J. Deppe; William A. Gallus Jr.; Eugene S. Takle

2013-02-01T23:59:59.000Z

276

An Isofactorial Change-of-Scale Model for the Wind Speed Probability Density Function  

Science Journals Connector (OSTI)

The wind speed probability density function (PDF) is used in a variety of applications in meteorology, oceanography, and climatology usually as a dataset comparison tool of a function of a quantity such as momentum flux or wind power density. The ...

Mark L. Morrissey; Angie Albers; J. Scott Greene; Susan Postawko

2010-02-01T23:59:59.000Z

277

The effect of wind speed fluctuations on the performance of a wind-powered membrane system for brackish water desalination   

E-Print Network (OSTI)

A wind-powered reverse osmosis membrane (wind-membrane) system without energy storage was tested using synthetic brackish water (2750 and 5500 mg/L NaCl) over a range of simulated wind speeds under both steady-state and ...

Park, Gavin L.; Schäfer, Andrea; Richards, Bryce S.

2011-01-01T23:59:59.000Z

278

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

Science Journals Connector (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

279

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect

This paper proposes a methodology to include the wind power forecasting ability, or 'forecastability,' of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

280

A first order geometric auto regressive process for boundary layer wind speed simulation  

Science Journals Connector (OSTI)

Under certain conditions the first order geometric auto regressive (AR) process has statistical properties similar to atmospheric boundary layer wind speed. In this contribution, we investigate ... this stochas...

T. Laubrich; H. Kantz

2009-08-01T23:59:59.000Z

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

About First Order Geometric Auto Regressive Processes for Boundary Layer Wind Speed Simulation  

Science Journals Connector (OSTI)

Under certain conditions the first order geometric auto regressive process has statistical properties similar to atmospheric boundary layer wind speed. In this contribution, we investigate ... this stochastic pro...

Thomas Laubrich; Holger Kantz

2010-01-01T23:59:59.000Z

282

E-Print Network 3.0 - accurate wind speed Sample Search Results  

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

Summary: anywhere in the world. As the annual mean wind speed goes up, the cost per energy unit decreases, hence... measurements are obtained at one point. Satellite derived...

283

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

284

Master's thesis: "Wind speed measurements in an offshore wind farm by remote sensing: Comparison of radar satellite TerraSAR-X and ground-based  

E-Print Network (OSTI)

Master's thesis: "Wind speed measurements in an offshore wind farm by remote sensing: Comparison of the Offshore wind farm alpha ventus with 12 wind turbines, substation and met mast Fino1. Southerly winds cause (wake) caused by wind farms and especially for the interaction of large offshore wind farms, which can

Peinke, Joachim

285

ORIGINAL PAPER Review of Methodologies for Offshore Wind Resource  

E-Print Network (OSTI)

ORIGINAL PAPER Review of Methodologies for Offshore Wind Resource Assessment in European Seas A. M offshore is generally larger than at geographically nearby onshore sites, which can offset the higher installation, operation and maintenance costs associated with offshore wind parks. Successful offshore wind

Pryor, Sara C.

286

Wind Resource Assessment in Europe Using Emergy  

E-Print Network (OSTI)

umd-5707.pdf Wind power, 2013. http://www.thewindpower.net/sustainability evaluation of a wind power generation system,sustainability of wind power: An emergy analysis of Chinese

Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

2014-01-01T23:59:59.000Z

287

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

288

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

289

Modeling access to wind resources in the United States  

SciTech Connect

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

290

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

Science Journals Connector (OSTI)

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

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

2004-05-01T23:59:59.000Z

291

Energy Department Releases New Land-Based/Offshore Wind Resource...  

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

shows the predicted mean annual wind speeds at 80-m height produced from AWS Truepower's data at a spatial resolution of 2.5 km and interpolated to a finer scale. Read more about...

292

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height ADAM J. DEPPE AND WILLIAM A. GALLUS JR.  

E-Print Network (OSTI)

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height ADAM J. DEPPE AND WILLIAM A in wind speed forecasts at a typical wind turbine hub height (80 m). An ensemble consisting of WRF model ensemble members for forecasting wind speed. A second configuration using three random perturbations

McCalley, James D.

293

Effects of Rain Rate and Wind Magnitude on SeaWinds Scatterometer Wind Speed Errors  

Science Journals Connector (OSTI)

Rain within the footprint of the SeaWinds scatterometer on the QuikSCAT satellite causes more significant errors than existed with its predecessor, the NASA scatterometer (NSCAT) on Advanced Earth Observing Satellite-I (ADEOS-I). Empirical ...

David E. Weissman; Mark A. Bourassa; Jeffrey Tongue

2002-05-01T23:59:59.000Z

294

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

295

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...

296

Robust STATCOM control for the stabilisation of fixed-speed wind turbines during low voltages  

E-Print Network (OSTI)

and rotor- speed instability and more so if the wind turbine is connected to a weak grid. To prevent is still being produced by squirrel-cage induction generators (SCIGs) which are directly connected to the grid and operate at an almost fixed-speed [3]. They are advantageous as wind generators for their low

Pota, Himanshu Roy

297

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

298

The effect of missing data on wind resource estimation  

Science Journals Connector (OSTI)

Investment in renewable energy sources requires reliable data. However, meteorological datasets are often plagued by missing data, which can bias energy resource estimates if the missingness is systematic. We address this issue by considering the influence of missing data due to icing of equipment during the winter on the wind resource estimation for a potential wind turbine site in Norway. Using a mean-reverting jump-diffusion (MRJD) process to model electricity prices, we also account for the impact on the expected revenue from a wind turbine constructed at the site. While missing data due to icing significantly bias the wind resource estimate downwards, their impact on revenue estimates is dampened because of volatile electricity spot prices. By contrast, with low-volatility electricity prices, the effect of missing data on revenue estimates is highly significant. The seasonality-based method we develop removes most of the bias in wind resource and revenue estimation caused by missing data.

Aidan Coville; Afzal Siddiqui; Klaus-Ole Vogstad

2011-01-01T23:59:59.000Z

299

Choosing wind power plant locations and sizes based on electric reliability measures using multiple-year wind speed measurements  

SciTech Connect

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.

Milligan, M.R.; Artig, R.

1999-07-08T23:59:59.000Z

300

BBO-based small autonomous hybrid power system optimization incorporating wind speed and solar radiation forecasting  

Science Journals Connector (OSTI)

Abstract Rising carbon emission or carbon footprint imposes grave concern over the earth?s climatic condition, as it results in increasing average global temperature. Renewable energy sources seem to be the favorable solution in this regard. It can reduce the overall energy consumption rate globally. However, the renewable sources are intermittent in nature with very high initial installation price. Off-grid Small Autonomous Hybrid Power Systems (SAHPS) are good alternative for generating electricity locally in remote areas, where the transmission and distribution of electrical energy generated from conventional sources are otherwise complex, difficult and costly. In optimizing SAHPS, weather data over past several years are generally the main input, which include wind speed and solar radiation. The weather resources used in this optimization process have unsystematic variations based on the atmospheric and seasonal phenomenon and it also varies from year to year. While using past data in the analysis of SAHPS performance, it was assumed that the same pattern will be followed in the next year, which in reality is very unlikely to happen. In this paper, we use BBO optimization algorithm for SAHPS optimal component sizing by minimizing the cost of energy. We have also analysed the effect of using forecast weather data instead of past data on the SAHPS performance. ANNs, which are trained with back-propagation training algorithm, are used for wind speed and solar radiation forecasting. A case study was used for demonstrating the performance of BBO optimization algorithm along with forecasting effects. The simulation results clearly showed the advantages of utilizing wind speed and solar radiation forecasting in a SAHPS optimization problem.

R.A. Gupta; Rajesh Kumar; Ajay Kumar Bansal

2015-01-01T23:59:59.000Z

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

Numerical simulation of aerodynamic derivatives and critical wind speed for long-span bridges based on simplified steady wind field  

Science Journals Connector (OSTI)

Combining the computational fluid dynamics-based numerical simulation with the forced vibration technique for extraction ... calculating the aerodynamic derivatives and the critical flutter wind speed for long-sp...

Dabo Xin Ph.D. Student ???; Jinping Ou ???

2007-06-01T23:59:59.000Z

302

Wind Conditions in a Fjordlike Bay and Predictions of Wind Speed Using Neighboring Stations Employing Neural Network Models  

Science Journals Connector (OSTI)

This paper evaluates the applicability of neural networks for estimating wind speeds at various target locations using neighboring reference locations along the south coast of Newfoundland, Canada. The stations were chosen to cover a variety of ...

Jens J. Currie; Pierre J. Goulet; Andry W. Ratsimandresy

2014-06-01T23:59:59.000Z

303

Ris0-M-2829 2 Extreme Values ofWind Speeds  

E-Print Network (OSTI)

Ris0-M-2829 2 Extreme Values ofWind Speeds overthe Great Belt Region N.O. Jensen and B. Nielsen Ris events 9 4 Extrapolation to the 50-year storm 11 5 Discussion of the 50-year wind 15 6 Crosswind extremes for extreme values of wind speeds. The data material was obtained from a 70-m mast on a small island, Sprog0

304

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]]

305

Instrument Design Simulations for Synthetic Aperture Microwave Radiometric Imaging of Wind Speed and  

E-Print Network (OSTI)

Instrument Design Simulations for Synthetic Aperture Microwave Radiometric Imaging of Wind Speed, US Abstract -- The measurement of peak winds in hurricanes is critical to forecasting intensity in radiative transfer modeling for hurricane force winds and large incidence angles are required for HIRad

Ruf, Christopher

306

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

E-Print Network (OSTI)

Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid Fault Wind Turbines with Induction Generator during Grid Fault by Sigrid M. Bolik Institute of Energy turbine technology has undergone rapid developments. Growth in size and the optimization of wind turbines

Hansen, René Rydhof

307

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

E-Print Network (OSTI)

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

Hu, Weihao

308

SCALAR WIND SPEED AND DIRECTION TROPICAL CYCLONE RETRIEVALS FOR CONICAL SCANNING SCATTEROMETERS  

E-Print Network (OSTI)

SCALAR WIND SPEED AND DIRECTION TROPICAL CYCLONE RETRIEVALS FOR CONICAL SCANNING SCATTEROMETERS--Scatterometer measurements of ocean vector winds (OVW) are significantly degraded in the presence of the precipitation, especially in tropical cyclones. This paper presents a new ocean hurricane/typhoon wind vector retrieval

Hennon, Christopher C.

309

EVALUATION OF MODELS FOR THE VERTICAL EXTRAPOLATION OF WIND SPEED MEASUREMENTS AT OFFSHORE SITES  

E-Print Network (OSTI)

EVALUATION OF MODELS FOR THE VERTICAL EXTRAPOLATION OF WIND SPEED MEASUREMENTS AT OFFSHORE SITES important for offshore wind energy utilisation are discussed and tested: Four models for the surface tested with data from the offshore field measurement RĂždsand by extrapolating the measured 10 m wind

Heinemann, Detlev

310

The Impacts of Wind Speed Trends and Long-term Variability in Relation to Hydroelectric  

E-Print Network (OSTI)

The Impacts of Wind Speed Trends and Long- term Variability in Relation to Hydroelectric Reservoir and Long-term Variability in Relation to Hydroelectric Reservoir Inflows on Wind Power in the Pacific through diversification. In hydroelectric dominated systems, like the PNW, the benefits of wind power can

Kohfeld, Karen

311

An aero-elastic flutter based electromagnetic energy harvester with wind speed augmenting funnel  

E-Print Network (OSTI)

An aero-elastic flutter based electromagnetic energy harvester with wind speed augmenting funnel been used to convert wind flow energy into mechanical vibration, which is then transformed-scale renewable energy generating systems such as wind turbines, thermal generators, and solar panels, energy

Stanford University

312

An Examination of Tropical and Extratropical Gust Factors and the Associated Wind Speed Histograms  

Science Journals Connector (OSTI)

A gust factor, defined as the ratio between a peak wind gust and mean wind speed over a period of time, can be used along with other statistics to examine the structure of the wind. Gust factors are heavily dependent on upstream terrain ...

B. M. Paulsen; J. L. Schroeder

2005-02-01T23:59:59.000Z

313

Soft computing based optimum parameter design of PID controller in rotor speed control of wind turbines  

Science Journals Connector (OSTI)

Sensitivity and robustness is the primary issue while designing the controller for large non-linear systems such as offshore wind turbines. The main goal of this study is a novel soft computing based approach in controlling the rotor speed of wind turbine. ... Keywords: bacteria foraging optimization algorithm, optimization, particle swarm optimization, proportional-integral-derivative controller, wind turbines

R. Manikandan; Nilanjan Saha

2011-12-01T23:59:59.000Z

314

EWEC 2006 Wind Energy Conference and Exhibition Turbine Wake Model for Wind Resource Software  

E-Print Network (OSTI)

EWEC 2006 Wind Energy Conference and Exhibition 1 Turbine Wake Model for Wind Resource Software Ole) AT: #12;EWEC 2006 Wind Energy Conference and Exhibition 2 21 2 0TT C U= (1) 0 0(1 )wU a U= - (2); 1.5 0.75 AR Aw0 U0 Uw0 T #12;EWEC 2006 Wind Energy Conference and Exhibition 3 ( )2 0 1 ( , ) 1

315

Classification of Vertical Wind Speed Profiles Observed Above a Sloping Forest at Nighttime Using the Bulk Richardson Number  

Science Journals Connector (OSTI)

Wind speed profiles above a forest canopy relate to ... atmosphere. Many studies have reported that vertical wind speed profiles above a relatively flat forest can ... be classified by a stability index developed...

Hikaru Komatsu; Norifumi Hotta; Koichiro Kuraji…

2005-05-01T23:59:59.000Z

316

Solar and wind resource complementarity: Advancing options for renewable electricity integration in Ontario, Canada  

Science Journals Connector (OSTI)

In Ontario (Canada), the integration of renewable power is a priority policy goal. Since 2004, the circumstances under which the integration of renewable power is evaluated have changed due to successive changes in price as well as concerns that its over-production may add to grid congestion. This research investigates the value of increasing complementarity (both proximate and geographically dispersed) of wind and solar resources as a means by which electricity planners and researchers might advance electricity sustainability in Ontario. More specifically, this paper asks the following questions: 1) Does the combination of solar and wind resources in selected locations in Ontario serve to ‘smooth out’ power production, i.e., decrease instances of both high and low values, as compared to either resource producing individually? 2) Can this ‘smoothness’ be further improved by dispersing these resources geographically amongst locations? and 3) Does increasing the number of locations with solar and wind resources further ‘smooth out’ power production? Three years (2003–2005) of synchronous, hourly measurements of solar irradiance and wind speeds from Environment Canada’s Canadian Weather Energy and Engineering Data Sets (CWEEDS) are used to derive dimensionless indices for four locations in Ontario (Toronto, Wiarton, Sault Ste. Marie and Ottawa). These indices are used to develop three transparent and accessible methods of analysis: (1) graphical representation; (2) percentile ranking; and (3) using a theoretical maximum as a proxy for capacity. The article concludes that the combination of solar and wind within locations and amongst two locations improves ‘smoothness’ in power production, as compared to when each resource is produced on its own; moreover, it is further improved once more than two resources and two locations are combined. However, there is neither further benefit, nor drawback, associated with the geographic dispersion of complementarity between solar in one location and wind in another, when compared to both resources in one location.

Christina E. Hoicka; Ian H. Rowlands

2011-01-01T23:59:59.000Z

317

First and second order semi-Markov chains for wind speed modeling  

E-Print Network (OSTI)

The increasing interest in renewable energy, particularly in wind, has given rise to the necessity of accurate models for the generation of good synthetic wind speed data. Markov chains are often used with this purpose but better models are needed to reproduce the statistical properties of wind speed data. We downloaded a database, freely available from the web, in which are included wind speed data taken from L.S.I. -Lastem station (Italy) and sampled every 10 minutes. With the aim of reproducing the statistical properties of this data we propose the use of three semi-Markov models. We generate synthetic time series for wind speed by means of Monte Carlo simulations. The time lagged autocorrelation is then used to compare statistical properties of the proposed models with those of real data and also with a synthetic time series generated though a simple Markov chain.

D'Amico, Guglielmo; Prattico, Flavio

2012-01-01T23:59:59.000Z

318

Integral variable structure current control of DFIG-based wind turbines near cut-in speed  

Science Journals Connector (OSTI)

Based on the grid voltage orientated vector control technique, a novel integral variable structure controller for current control of variable speed doubly fed induction generator (DFIG) wind turbines near cut-in wind speed is proposed. The proposed current controller can not only ensure generators' safe cut-in switches to the grid, but also maximum energy capture after switch motion without any regulations. By these, simulations of a 1.5 MW DFIG-based wind turbine near cut-in wind speed are separately conducted under integral variable structure control (IVSC) and PI control. The results show that IVSC strategy, which gives better dynamic response, less static error, smaller controller output dithering, stronger global robustness against generator parameters uncertainty and the grid voltage fluctuation, as well as needless controller regulation after cutting-in the grid, obviously preponderates over traditional PI control for DFIG-based wind turbines near cut-in speed.

Changliang Xia; Huimin Wang; Zhanfeng Song

2009-01-01T23:59:59.000Z

319

Dependency of U.S. Hurricane Economic Loss on Maximum Wind Speed and Storm Size  

E-Print Network (OSTI)

Many empirical hurricane economic loss models consider only wind speed and neglect storm size. These models may be inadequate in accurately predicting the losses of super-sized storms, such as Hurricane Sandy in 2012. In this study, we examined the dependencies of normalized U.S. hurricane loss on both wind speed and storm size for 73 tropical cyclones that made landfall in the U.S. from 1988 to 2012. A multi-variate least squares regression is used to construct a hurricane loss model using both wind speed and size as predictors. Using maximum wind speed and size together captures more variance of losses than using wind speed or size alone. It is found that normalized hurricane loss (L) approximately follows a power law relation with maximum wind speed (Vmax) and size (R). Assuming L=10^c Vmax^a R^b, c being a scaling factor, the coefficients, a and b, generally range between 4-12 and 2-4, respectively. Both a and b tend to increase with stronger wind speed. For large losses, a weighted regression model, with...

Zhai, Alice R

2014-01-01T23:59:59.000Z

320

A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting  

Science Journals Connector (OSTI)

Abstract Forecasting the wind speed is indispensable in wind-related engineering studies and is important in the management of wind farms. As a technique essential for the future of clean energy systems, reducing the forecasting errors related to wind speed has always been an important research subject. In this paper, an optimized hybrid method based on the Autoregressive Integrated Moving Average (ARIMA) and Kalman filter is proposed to forecast the daily mean wind speed in western China. This approach employs Particle Swarm Optimization (PSO) as an intelligent optimization algorithm to optimize the parameters of the ARIMA model, which develops a hybrid model that is best adapted to the data set, increasing the fitting accuracy and avoiding over-fitting. The proposed method is subsequently examined on the wind farms of western China, where the proposed hybrid model is shown to perform effectively and steadily.

Zhongyue Su; Jianzhou Wang; Haiyan Lu; Ge Zhao

2014-01-01T23:59:59.000Z

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

Luminescence intensity in coral skeletons from Mona Island in the Caribbean Sea and its link to precipitation and wind speed  

Science Journals Connector (OSTI)

...and its link to precipitation and wind speed Johan Nyberg 1 Present address...proxy of precipitation and (trade) wind speed. In order to find wavelength pairs...records of regional precipitation and wind speed. In the coral skeleton as well...

2002-01-01T23:59:59.000Z

322

Long-term-average, solar cycle, and seasonal response of magnetospheric energetic electrons to the solar wind speed  

E-Print Network (OSTI)

to the solar wind speed D. Vassiliadis,1 A. J. Klimas,2 S. G. Kanekal,3 D. N. Baker,3 and R. S. Weigel4. [1] Among the interplanetary activity parameters the solar wind speed is the one best correlated, and seasonal response of magnetospheric energetic electrons to the solar wind speed, J. Geophys. Res., 107(A11

Vassiliadis, Dimitrios

323

Evidence of a Threshold Wind Speed in Tower-mounted Scatterometer Data David W. Draper and David G. Long  

E-Print Network (OSTI)

Evidence of a Threshold Wind Speed in Tower-mounted Scatterometer Data David W. Draper and David G ) in scatterom- eter measurements over water is theorized to go to zero below a threshold wind speed due. Evidence of the threshold wind speed and a hysteresis effect have been observed in airship and wave tank

Long, David G.

324

Evidence of trends in near-surface wind speeds over the Baltic S.C. Pryor1,2  

E-Print Network (OSTI)

1 Evidence of trends in near-surface wind speeds over the Baltic S.C. Pryor1,2 , R.J. Barthelmie2 and Atmospheric Physics, Risoe National Laboratory, DK4000 Roskilde, Denmark ABSTRACT Annual mean wind speeds over associated with increases in the upper quartile of the wind speed distribution and the winter season. Trends

325

Luminescence intensity in coral skeletons from Mona Island in the Caribbean Sea and its link to precipitation and wind speed  

Science Journals Connector (OSTI)

...Precipitation and wind speed in combination may thus...well as turbidity and light availability. The negative...con- trolled by wind speed, precipitation and run-off...precipitation and wind speed may control some environmental...as freshwater supply, light availability and/or...

2002-01-01T23:59:59.000Z

326

Diabatic wind speed profiles in coastal regions: Comparison of an internal boundary layer (IBL) model with observations  

Science Journals Connector (OSTI)

A model is presented to transform wind speed observations at a single height over sea ... of 100 m). Only moderate and strong winds from the sea are considered, which are particularly important for wind energy ap...

A. C. M. Beljaars; A. A. M. Holtslag; W. C. Turkenburg

1990-04-01T23:59:59.000Z

327

Application of an Improved SVM Algorithm for Wind Speed Forecasting  

Science Journals Connector (OSTI)

An improved Support Vector Machine (SVM) algorithm is used to forecast wind in Doubly Fed Induction Generator (DFIG) wind power system without aerodromometer. The ... Validation (CV) method. Finally, 3.6MW DFIG w...

Huaqiang Zhang; Xinsheng Wang; Yinxiao Wu

2011-01-01T23:59:59.000Z

328

Anemometer Data (Wind Speed, Direction) for YKHC-Bethel, AK (2003 - 2004) |  

Open Energy Info (EERE)

YKHC-Bethel, AK (2003 - 2004) YKHC-Bethel, AK (2003 - 2004) Dataset Summary Description Wind data collected from YKHC - Bethel in Alaska from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2003 through 2004, as is wind direction and turbulence data. Data is reported from a height of 20 m. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. A dynamic map displaying all available data from DOE anemometer loan programs is available http://www.windpoweringamerica.gov/anemometerloans/projects.asp. Source EERE Date Released November 09th, 2010 (4 years ago) Date Updated November 09th, 2010 (4 years ago) Keywords wind wind direction wind speed

329

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).

330

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

331

Floating Offshore Wind Technology Generating Resources Advisory Committee  

E-Print Network (OSTI)

Floating Offshore Wind Technology Jeff King Generating Resources Advisory Committee May 28, 2014 1 resource Offshore technology Prototypes and projects Cost Proposed 7th Plan Treatment 2 #12;Why technology transfer from offshore oil & gas industry On-shore fabrication & assembly (assembled unit towed

332

Wind speed forecasting at different time scales: a non parametric approach  

E-Print Network (OSTI)

The prediction of wind speed is one of the most important aspects when dealing with renewable energy. In this paper we show a new nonparametric model, based on semi-Markov chains, to predict wind speed. Particularly we use an indexed semi-Markov model, that reproduces accurately the statistical behavior of wind speed, to forecast wind speed one step ahead for different time scales and for very long time horizon maintaining the goodness of prediction. In order to check the main features of the model we show, as indicator of goodness, the root mean square error between real data and predicted ones and we compare our forecasting results with those of a persistence model.

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

333

Probability Distributions and Threshold Selection for Monte Carlo–Type Tropical Cyclone Wind Speed Forecasts  

Science Journals Connector (OSTI)

Probabilistic wind speed forecasts for tropical cyclones from Monte Carlo–type simulations are assessed within a theoretical framework for a simple unbiased Gaussian system that is based on feature size and location error that mimic tropical ...

Michael E. Splitt; Steven M. Lazarus; Sarah Collins; Denis N. Botambekov; William P. Roeder

2014-10-01T23:59:59.000Z

334

Estimation of sector roughness lengths and the effect on prediction of the vertical wind speed profile  

Science Journals Connector (OSTI)

An estimate of roughness length is required by some atmospheric models and is also used in the logarithmic profile to determine the increase of wind speed with height under neutral conditions. The choice ... thei...

R. J. Barthelmie; J. P. Palutikof; T. D. Davies

1993-10-01T23:59:59.000Z

335

WIND DATA REPORT Ragged Mt Maine  

E-Print Network (OSTI)

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

Massachusetts at Amherst, University of

336

Development of Regional Wind Resource and Wind Plant Output Datasets for the Hawaiian Islands  

SciTech Connect

In March 2009, AWS Truepower was engaged by the National Renewable Energy Laboratory (NREL) to develop a set of wind resource and plant output data for the Hawaiian Islands. The objective of this project was to expand the methods and techniques employed in the Eastern Wind Integration and Transmission Study (EWITS) to include the state of Hawaii.

Manobianco, J.; Alonge, C.; Frank, J.; Brower, M.

2010-07-01T23:59:59.000Z

337

Anemometer Data (Wind Speed, Direction) for Ugashik, AK (2001...  

Open Energy Info (EERE)

by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. A dynamic map displaying all available data from DOE anemometer loan programs...

338

EVALUATION OF MODELS FOR THE VERTICAL EXTRAPOLATION OF WIND SPEED MEASUREMENTS AT OFFSHORE SITES  

E-Print Network (OSTI)

EVALUATION OF MODELS FOR THE VERTICAL EXTRAPOLATION OF WIND SPEED MEASUREMENTS AT OFFSHORE SITES important for offshore wind energy utilisation are discussed and tested: Four models for the surface tested with measurements from the offshore field measurement RĂždsand by extrapolating the measured 10 m

Heinemann, Detlev

339

Tractable Analytic Expressions for the Wind Speed Probability Density Functions Using Expansions of Orthogonal Polynomials  

Science Journals Connector (OSTI)

The use of the two-parameter Weibull function as an estimator of the wind speed probability density function (PDF) is known to be problematic when a high accuracy of fit is required, such as in the computation of the wind power density function. ...

Mark L. Morrissey; J. Scott Greene

2012-07-01T23:59:59.000Z

340

UNIVERSITY OF CALIFORNIA, Surface Wind Speed Distributions: Implications for Climate and Wind Power  

E-Print Network (OSTI)

and Wind Power DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR . . . . . . . . . . . . . . . . . 19 1.3 Global Ocean Wind Power and Surface Layer Stability . . . . . . . . 23 1.3.1 Global Winds . . . . . . 27 1.4 Usable Offshore Wind Power . . . . . . . . . . . . . . . . . . . . . . . 31 1.4.1 Wind Turbine

Zender, Charles

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

Optimal Evolutionary Wind Turbine Placement in Wind Farms Considering New Models of Shape, Orography and Wind Speed Simulation  

Science Journals Connector (OSTI)

In this paper we present a novel evolutionary algorithm for optimal positioning of wind turbines in wind farms. We consider a realistic model for the wind farm, which includes orography, shape of the wind farm, s...

B. Saavedra-Moreno; S. Salcedo-Sanz…

2011-01-01T23:59:59.000Z

342

Wind Resource Assessment Using SODAR at Cluttered Sites William LW Henson MSc*  

E-Print Network (OSTI)

. The UMass ART VT-1 SODAR measures wind speed and direction at multiple heights using the Doppler shift tilted (approximately 15 degrees) from vertical. Three sound beams are required to resolve the wind periods of approximately ten minutes to produce estimates of the mean wind- speed and wind

Massachusetts at Amherst, University of

343

Euler-Bernoulli Implementation of Spherical Anemometers for High Wind Speed Calculations via Strain Gauges  

E-Print Network (OSTI)

New measuring methods continue to be developed in the field of wind anemometry for various environments subject to low-speed and high-speed flows, turbulent-present flows, and ideal and non-ideal flows. As a result, anemometry has taken different...

Castillo, Davis

2011-08-08T23:59:59.000Z

344

Wind speed equalization-based incoming wind classification by aggregating DFIGs  

Science Journals Connector (OSTI)

With the development of wind energy, it is necessary to develop equivalent models to represent dynamic behaviors of wind farms in power systems. The equivalent wind method is investigated for the aggregation o...

Zhaojun Meng; Feng Xue; Xueming Li

2013-06-01T23:59:59.000Z

345

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

Science Journals Connector (OSTI)

Abstract The present study aimed to analyze the wind speed data of Firouzkooh region. For this purpose, the wind speed data for a 3-h period measuring over a 10-year period (2001–2010) were analyzed to calculate and estimate the wind power generation potential. Similar trends of the wind speeds were seen in different years where the highest and the lowest mean wind speeds belonged to May 2010 and June 2002, respectively. The diurnal wind speed analysis demonstrated that the fastest winds blew from 6 am to 3 pm. Weibull and Rayleigh distribution functions were applied to find out the best fitting tool to the wind speed data. Results showed that Weibull and Rayleigh distribution functions can fit the actual values of wind speed well with almost the same coefficient of determination value (R2) of 0.97. The average values of wind power based on mean and root mean cube speed approaches were 203 and 248 W m?2 year?1, respectively indicating that Firouzkooh region stands in class 4 (which is a suitable area for wind turbine establishment). Finally, wind rose diagram revealed that the prevailing wind direction falls in the sector between 180° and 270° clockwise from North.

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

2015-01-01T23:59:59.000Z

346

A study of wind-speed maxima near the surface over the south central United States  

E-Print Network (OSTI)

-1960) and the Oklahoma City radiosonde station data for the time period June, 1966 to May, 1967. They also showed that the higher the monthly, mean, wind speed, the more likely that the wind direction was from the south. Bonner (1968) states, "Strong early morning...) (Member) (Member) May 1973 ABSTRACT A Study of Wind-Speed Maxima near the Surface over the South Central United States (May 1973) Samuel K. Beckman, B. S. , Kansas State University Directed by: Professor Walter K. Henry Radiosonde and rawinsonde...

Beckman, Samuel Karl

2012-06-07T23:59:59.000Z

347

Spatial Variation and Interpolation of Wind Speed Statistics and Its Implication in Design Wind Load.  

E-Print Network (OSTI)

??Consideration of wind load is important for design of engineered structures. Codification of wind load for structural design requires the estimation of the quantiles or… (more)

Ye, Wei

2013-01-01T23:59:59.000Z

348

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)

349

Potential for Development of Solar and Wind Resource in Bhutan  

SciTech Connect

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

350

Unexpected vertical wind speed profiles in the boundary layer over the southern North Sea  

Science Journals Connector (OSTI)

Abstract Shallow atmospheric internal boundary layers over the southern part of the North Sea are common. Analysis of one year of meteorological data from the FINO1 research platform in the German Bight reveals that vertical wind speed profiles frequently do not conform to the expected modified logarithmic profile of Monin–Obukhov similarity theory. The wind profiles are mostly characterized by local maxima or kinks within the first 100 m over the sea surface. The data reveals the most frequent occurrence of a single maximum, but multiple maxima are often present, and there are sometimes even reversed profiles with the wind speed decreasing with height. The expected modified logarithmic profile occurs for a minority of cases. The evidence suggests the frequent presence of internal boundary layers that propagate from coastal land masses that surround the North Sea. A census of vertical wind speed profiles is presented that shows how different inflection states are linked with wind speed and atmospheric stability. The kinks are most prevalent in the upper part of the measurement range near the 100 m hub height of modern offshore the wind turbines, so that internal boundary layers represent a possible concern for the offshore wind energy industry in the North Sea region.

Anthony J. Kettle

2014-01-01T23:59:59.000Z

351

Solar and Wind Resource Assessments for Afghanistan and Pakistan  

SciTech Connect

The U.S. National Renewable Energy Laboratory (NREL) has recently completed the production of high-resolution wind and solar energy resource maps and related data products for Afghanistan and Pakistan. The resource data have been incorporated into a geospatial toolkit (GsT), which allows the user to manipulate the resource information along with country-specific geospatial information such as highway networks, power facilities, transmission corridors, protected land areas, etc. The toolkit allows users to then transfer resource data for specific locations into NREL's micropower optimization model known as HOMER.

Renne, D. S.; Kelly, M.; Elliott, D.; George, R.; Scott, G.; Haymes, S.; Heimiller, D.; Milbrandt, A.; Cowlin, S.; Gilman, P.; Perez, R.

2007-01-01T23:59:59.000Z

352

100-Year Return Value Estimates for Ocean Wind Speed and Significant Wave Height from the ERA-40 Data  

E-Print Network (OSTI)

and time variability of significant wave height and wind speed on the prediction of their extreme values of this dataset makes it ideal for the study of extreme wind and wave phenomena over the whole globe. Initial100-Year Return Value Estimates for Ocean Wind Speed and Significant Wave Height from the ERA-40

Haak, Hein

353

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

SciTech Connect

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

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

2012-11-01T23:59:59.000Z

354

Assessing the Impact of Economically Dispatchable Wind Resources on the New England Wholesale Electricity Market.  

E-Print Network (OSTI)

??Among renewable energy resources, wind power is poised to contribute most significantly to meeting future wholesale electricity demand. However, the intermittent nature of wind power… (more)

Goggins, Andrew

2013-01-01T23:59:59.000Z

355

CONSTRAINING HIGH-SPEED WINDS IN EXOPLANET ATMOSPHERES THROUGH OBSERVATIONS OF ANOMALOUS DOPPLER SHIFTS DURING TRANSIT  

SciTech Connect

Three-dimensional (3D) dynamical models of hot Jupiter atmospheres predict very strong wind speeds. For tidally locked hot Jupiters, winds at high altitude in the planet's atmosphere advect heat from the day side to the cooler night side of the planet. Net wind speeds on the order of 1-10 km s{sup -1} directed towards the night side of the planet are predicted at mbar pressures, which is the approximate pressure level probed by transmission spectroscopy. These winds should result in an observed blueshift of spectral lines in transmission on the order of the wind speed. Indeed, Snellen et al. recently observed a 2 {+-} 1 km s{sup -1} blueshift of CO transmission features for HD 209458b, which has been interpreted as a detection of the day-to-night (substellar to anti-stellar) winds that have been predicted by 3D atmospheric dynamics modeling. Here, we present the results of a coupled 3D atmospheric dynamics and transmission spectrum model, which predicts the Doppler-shifted spectrum of a hot Jupiter during transit resulting from winds in the planet's atmosphere. We explore four different models for the hot Jupiter atmosphere using different prescriptions for atmospheric drag via interaction with planetary magnetic fields. We find that models with no magnetic drag produce net Doppler blueshifts in the transmission spectrum of {approx}2 km s{sup -1} and that lower Doppler shifts of {approx}1 km s{sup -1} are found for the higher drag cases, results consistent with-but not yet strongly constrained by-the Snellen et al. measurement. We additionally explore the possibility of recovering the average terminator wind speed as a function of altitude by measuring Doppler shifts of individual spectral lines and spatially resolving wind speeds across the leading and trailing terminators during ingress and egress.

Miller-Ricci Kempton, Eliza [Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064 (United States); Rauscher, Emily, E-mail: ekempton@ucolick.org [Lunar and Planetary Laboratory, University of Arizona, 1629 East University Boulevard, Tucson, AZ 85721 (United States)

2012-06-01T23:59:59.000Z

356

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

Science Journals Connector (OSTI)

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

2013-01-01T23:59:59.000Z

357

Kaneohe, Hawaii Wind Resource Assessment Report  

SciTech Connect

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

358

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

359

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

Science Journals Connector (OSTI)

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

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

2012-09-01T23:59:59.000Z

360

Adaptive pitch control for variable speed wind turbines  

DOE Patents (OSTI)

An adaptive method for adjusting blade pitch angle, and controllers implementing such a method, for achieving higher power coefficients. Average power coefficients are determined for first and second periods of operation for the wind turbine. When the average power coefficient for the second time period is larger than for the first, a pitch increment, which may be generated based on the power coefficients, is added (or the sign is retained) to the nominal pitch angle value for the wind turbine. When the average power coefficient for the second time period is less than for the first, the pitch increment is subtracted (or the sign is changed). A control signal is generated based on the adapted pitch angle value and sent to blade pitch actuators that act to change the pitch angle of the wind turbine to the new or modified pitch angle setting, and this process is iteratively performed.

Johnson, Kathryn E. (Boulder, CO); Fingersh, Lee Jay (Westminster, CO)

2012-05-08T23:59:59.000Z

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

WIND SPEED AND ATMOSPHERIC STABILITY TRENDS FOR SELECTED UNITED STATES SURFACE STATIONS  

SciTech Connect

Recently it has been suggested that global warming and a decrease in mean wind speeds over most land masses are related. Decreases in near surface wind speeds have been reported by previous investigators looking at records with time spans of 15 to 30 years. This study focuses on United States (US) surface stations that have little or no location change since the late 1940s or the 1950s--a time range of up to 58 years. Data were selected from 62 stations (24 of which had not changed location) and separated into ten groups for analysis. The group's annual averages of temperature, wind speed, and percentage of Pasquill-Gifford (PG) stability categories were fitted with linear least squares regression lines. The results showed that the temperatures have increased for eight of the ten groups as expected. Wind speeds have decreased for nine of the ten groups. The mean slope of the wind speed trend lines for stations within the coterminous US was -0.77 m s{sup -1} per century. The percentage frequency of occurrence for the neutral (D) PG stability category decreased, while that for the unstable (B) and the stable (F) categories increased in almost all cases except for the group of stations located in Alaska.

Buckley, R; Allen H. Weber, A

2006-11-01T23:59:59.000Z

362

Offshore Wind Potential Tables  

Wind Powering America (EERE)

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

363

Optimal control for variable-speed wind generation systems using General Regression Neural Network  

Science Journals Connector (OSTI)

Abstract An induction generator (IG) speed drive with the application of an optimal controller and a proposed General Regression Neural Network (GRNN) controller is introduced in this paper. Grid connected wind energy conversion system (WECS) present interesting control demands, due to the intrinsic nonlinear characteristic of wind mills and electric generators. The GRNN with adaptive ant colony optimization (AACO) torque compensation is feed-forward to increase the robustness of the wind driven induction generator system. An optimal control loop for the wind power system is designed. The optimality of the whole system is defined in relation with the trade-off between the wind energy conversion maximization and the minimization of the induction generator torque variation that is responsible for the frequency fluctuations. This is achieved by using a combined optimization criterion, resulting in a LQ tracking problem with an infinite horizon and a measurable exogenous variable (wind speed). The proposed controller is designed to drive the turbine speed to extract maximum power from the wind and adjust to the power regulation.

Chih-Ming Hong; Fu-Sheng Cheng; Chiung-Hsing Chen

2014-01-01T23:59:59.000Z

364

Probabilistic Forecasts of Wind Speed: Ensemble Model Output Statistics  

E-Print Network (OSTI)

. Over the past two decades, ensembles of numerical weather prediction (NWP) models have been developed and phrases: Continuous ranked probability score; Density forecast; Ensem- ble system; Numerical weather prediction; Heteroskedastic censored regression; Tobit model; Wind energy. 1 #12;1 Introduction Accurate

Washington at Seattle, University of

365

Characterization of the Wind Power Resource in Europe and its  

E-Print Network (OSTI)

Characterization of the Wind Power Resource in Europe and its Intermittency Alexandra Cosseron, C for Global Change Science (CGCS) and the Center for Energy and Environmental Policy Research (CEEPR processes of policy development and implementation, climate change research needs to focus on improving

366

Intense and Extreme Wind Speeds Observed by Anemometer and Seismic Networks: An Eastern U.S. Case Study  

Science Journals Connector (OSTI)

The scale and intensity of extreme wind events have tremendous relevance to determining the impact on infrastructure and natural and managed ecosystems. Analyses presented herein show the following. 1) Wind speeds in excess of the station-specific ...

S. C. Pryor; R. Conrick; C. Miller; J. Tytell; R. J. Barthelmie

2014-11-01T23:59:59.000Z

367

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

368

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

369

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

370

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

371

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

372

Wind resource assessment using numerical weather prediction models and multi-criteria decision making technique: case study (Masirah Island, Oman)  

Science Journals Connector (OSTI)

The Authority for Electricity Regulation in Oman has recently announced the implementation of a 500 kW wind farm pilot project in Masirah Island. Detailed wind resource assessment is then required to identify the most suitable location for this project. This paper presents wind resource assessment using nested ensemble numerical weather prediction (NWP) model's approach at 2.8 km resolution and multi-criteria decision making (MCDM) technique. A case study based on the proposed approach is conducted over Masirah Island, Oman. The resource assessment over the island was based on the mean wind speed and wind power distribution over the entire island at different heights. In addition, important criteria such as turbulence intensity and peak hour matching are also considered. The NWP model results were verified against the available 10 m wind data observations from the meteorological station in the northern part of the island. The resource assessment criteria were evaluated using MCDM technique to score the locations over the island based on their suitability for wind energy applications. Two MCDM approaches namely equally weighted and differently weighted criteria were implemented in this paper.

Sultan Al-Yahyai; Yassine Charabi; Abdullah Al-Badi; Adel Gastli

2013-01-01T23:59:59.000Z

373

Assessment of Wind Energy Resources in Communities. Case Study: Brasov, Romania  

Science Journals Connector (OSTI)

The implementation of small wind turbines at community level is limited by the accurate data on wind resource, due to the influence of the ... important in order to capture the maximum available wind energy, insu...

Radu S?ulescu; Oliver Climescu…

2014-01-01T23:59:59.000Z

374

Global potential for wind-generated electricity  

Science Journals Connector (OSTI)

...6 MW, deployed offshore, reflecting the greater...incentive to deploy larger turbines to capture the higher wind speeds available in...Electricity-Producing Wind Turbines ( International Electrotechnical...2008 ) Assessing offshore wind resources: An accessible...

Xi Lu; Michael B. McElroy; Juha Kiviluoma

2009-01-01T23:59:59.000Z

375

Four Corners Wind Resource Center Webinar: Building Utility-Scale Wind: Permitting and Regulation Lessons for County Decision-Makers  

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

The Four Corners Wind Resource Center will host this webinar exploring lessons learned in the permitting of utility-scale wind projects and the development of ordinances and regulations for...

376

Wind Resources by Class and Country At 50m - Datasets - OpenEI...  

Open Energy Info (EERE)

Wind Resources by Class and Country At 50m These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution...

377

Standardization of raw wind speed data under complex terrain conditions: A data-driven scheme  

Science Journals Connector (OSTI)

Abstract Direct usage of raw wind data without modification of topographic and/or terrain effects may result in remarkable errors. Thus, standardization of raw wind datasets is of great importance to remove these influences. But, the existing standardization methods are mainly applicable for flat terrains, which may become inappropriate under complex terrain conditions. This paper presents a data-driven standardization scheme which can be applied for different terrains including complex terrains. Although this scheme is established based on wind profile records at a reference station equipped with both an anemometer at a near-ground height and a Doppler radar profiler system, it can be used for the standardization of surface winds not only at the reference station but also at other surrounding stations with only surface observation instruments. Thus, the proposed data-driven scheme is efficient and economic. As applications of this scheme, correction factors to convert raw wind speeds at about 50 weather stations in Hong Kong to those over a reference terrain are estimated. To verify the effectiveness of the proposed standardization scheme, a wind tunnel testing involved the topographic model of a weather station has been conducted. The standardization results via the proposed scheme and the wind tunnel testing are in good agreement. The proposed methodology and relevant results can be used for the analysis of topographic effects on wind speeds over complex terrains.

Y.C. He; P.W. Chan; Q.S. Li

2014-01-01T23:59:59.000Z

378

Wind speed modeled as a semi-Markov process with memory  

E-Print Network (OSTI)

The increasing interest in renewable energy, particularly in wind, has given rise to the necessity of accurate models for the generation of good synthetic wind speed data. Markov chains are often used with this purpose but better models are needed to reproduce the statistical properties of wind speed data. In a previous paper we showed that semi-Markov processes are more appropriate for this purpose but to reach an accurate reproduction of real data features high order model should be used. In this work we introduce an indexed semi-Markov process that is able to fit real data. We downloaded a database, freely available from the web, in which are included wind speed data taken from L.S.I. -Lastem station (Italy) and sampled every 10 minutes. We then generate synthetic time series for wind speed by means of Monte Carlo simulations. The time lagged autocorrelation is then used to compare statistical properties of the proposed model with those of real data and also with a synthetic time series generated though a ...

D'Amico, Guglielmo; Prattico, Flavio

2012-01-01T23:59:59.000Z

379

On the relationship between temperature and wind speed in the atmospheric surface layer  

E-Print Network (OSTI)

LIBRAR& A AN m os??E " "" ON THE RELATIONSHIP BETWEEN T" MP. "RATURE AND WIND SPEED IN THE ATMOSPHERIC SURFACE LAYER A Thesis John Me Pierrard Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial... logarithmically with height+ Also, the choice of a method of determination of the roughness length must be governed by an awareness of possible errors in the wind speed meas- urementso The system used to collect the data employed in this study is susceptible...

Pierrard, John Martin

2012-06-07T23:59:59.000Z

380

Offshore wind resources from satellite SAR Charlotte Bay Hasager, Merete Bruun Christiansen, Morten Nielsen,  

E-Print Network (OSTI)

Offshore wind resources from satellite SAR Charlotte Bay Hasager, Merete Bruun Christiansen, Morten ocean wind maps were described. For offshore wind resource estimation based on satellite observations and the near-coastal zone (up to 40 km offshore) is not mapped. In contrast, Envisat ASAR wind maps can

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

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

382

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

E-Print Network (OSTI)

diurnally varying vertical structure of the leading three climatological moments of near-surface wind speed-Surface Wind Speed Probability Distribution over Land* YANPING HE School of Earth and Ocean Sciences wind speed probability distribution is essential for surface flux estimation and wind power management

He, Yanping

383

Anemometer Data (Wind Speed, Direction) for Pascua Yaqui, AZ (2003 - 2004)  

Open Energy Info (EERE)

Pascua Yaqui, AZ (2003 - 2004) Pascua Yaqui, AZ (2003 - 2004) Dataset Summary Description Wind data collected from Pascua Yaqui Indian Reservation in Arizona from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2003 through 2004, as is wind direction and turbulence data. Data is reported from a height of 20 m. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. A dynamic map displaying all available data from DOE anemometer loan programs is available http://www.windpoweringamerica.gov/anemometerloans/projects.asp. Source EERE Date Released December 02nd, 2010 (3 years ago) Date Updated December 02nd, 2010 (3 years ago) Keywords wind

384

Anemometer Data (Wind Speed, Direction) for Quinault #3, WA (2004 - 2005) |  

Open Energy Info (EERE)

Quinault #3, WA (2004 - 2005) Quinault #3, WA (2004 - 2005) Dataset Summary Description Wind data collected from Quinault Indian Reservation in Washington from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2004 through 2005, as is wind direction and turbulence data. Data is reported from a height of 20 m. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. A dynamic map displaying all available data from DOE anemometer loan programs is available http://www.windpoweringamerica.gov/anemometerloans/projects.asp. Source EERE Date Released December 02nd, 2010 (4 years ago) Date Updated December 02nd, 2010 (4 years ago) Keywords wind

385

Creating Synthetic Wind Speed Time Series for 15 New Zealand Wind Farms  

Science Journals Connector (OSTI)

Wind data at time scales from 10 min to 1 h are an important input for modeling the performance of wind farms and their impact on many countries’ national electricity systems. Planners need long-term realistic (i.e., meteorologically spatially and ...

Richard Turner; Xiaogu Zheng; Neil Gordon; Michael Uddstrom; Greg Pearson; Rilke de Vos; Stuart Moore

2011-12-01T23:59:59.000Z

386

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.

387

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.

388

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.

389

Assessment of Offshore Wind Energy Resources for the United States  

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

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.

390

Solar wind suprathermal electron Stahl widths across high-speed stream structures  

SciTech Connect

Suprathermal electrons (100-1500 eV) observed in the solar wind typically show a strahl distribution, that is, a beam directed away from the Sun along the magnetic field direction. The strahl width observed at 1 AU is highly variable, ranging from 10-70 degrees. The obsenred finite width of the strahl results from the competition between beam focusing as the interplanetary magnetic field strength drops with distance from the Sun, and pitch-angle scattering as the beam interacts with the solar wind plasma in transit from the sun. Here we examine strahl width, observed with ACE SWEPAM across high-speed stream structures to investigate variations in electron scattering as a function of local plasma characteristics. We find that narrow strahls (less than 20 degrees wide), indicating reduced scattering, are observed within high-speed streams. Narrow strahls are also observed in both very low temperature solar wind, in association with ICMEs. Case studies of high-speed streams typically show the strahl narrowing at the leading edge of the stream. In some cases, the strahl narrows at the reverse shock or pressure wave, in other cases at the stream interface. The narrowing can either occur discontinuously or gradually over a period of hours. Within the high-speed wind, the strahl remains narrow for a period of hours to days, and then gradually broadens. The strahl width is roughly constant at all energies across these structures. For some fraction of high-speed streams, counterstreaming is associated with passage of the corotating interaction region. In these cases, we find the widths of the two counterstreaming beams frequently differ by more than 40 degrees. This dramatic difference in strahl width contrasts with observations in the solar wind as a whole, in which counterstreaming strahls typically differ in width by less than 20 degrees.

Skoug, Ruth M [Los Alamos National Laboratory; Steinberg, John T [Los Alamos National Laboratory; Goodrich, Katherine A [Los Alamos National Laboratory; Anderson, Brett R [DARTMUTH UNIV.

2011-01-03T23:59:59.000Z

391

Documenting Wind Speed and Power Deficits behind a Utility-Scale Wind Turbine  

Science Journals Connector (OSTI)

High-spatial-and-temporal-resolution radial velocity measurements surrounding a single utility-scale wind turbine were collected using the Texas Tech University Ka-band mobile research radars. The measurements were synthesized to construct the ...

Brian D. Hirth; John L. Schroeder

2013-01-01T23:59:59.000Z

392

High resolution reanalysis of wind speeds over the British Isles for wind energy integration   

E-Print Network (OSTI)

The UK has highly ambitious targets for wind development, particularly offshore, where over 30GW of capacity is proposed for development. Integrating such a large amount of variable generation presents enormous challenges. ...

Hawkins, Samuel Lennon

2012-11-29T23:59:59.000Z

393

ON THE ORIGIN OF THE SLOW SPEED SOLAR WIND: HELIUM ABUNDANCE VARIATIONS  

SciTech Connect

The first ionization potential (FIP) effect is the by now well-known enhancement in abundance over photospheric values of Fe and other elements with FIP below about 10 eV observed in the solar corona and slow speed solar wind. In our model, this fractionation is achieved by means of the ponderomotive force, arising as Alfven waves propagate through or reflect from steep density gradients in the solar chromosphere. This is also the region where low FIP elements are ionized, and high FIP elements are largely neutral leading to the fractionation as ions interact with the waves but neutrals do not. Helium, the element with the highest FIP and consequently the last to remain neutral as one moves upward, can be depleted in such models. Here, we investigate this depletion for varying loop lengths and magnetic field strengths. Variations in this depletion arise as the concentration of the ponderomotive force at the top of the chromosphere varies in response to Alfven wave frequency with respect to the resonant frequency of the overlying coronal loop, the magnetic field, and possibly also the loop length. We find that stronger depletions of He are obtained for weaker magnetic field, at frequencies close to or just above the loop resonance. These results may have relevance to observed variations of the slow wind solar He abundance with wind speed, with slower slow speed solar wind having a stronger depletion of He.

Rakowski, Cara E.; Laming, J. Martin [Space Science Division, Naval Research Laboratory Code 7674L, Washington, DC 20375 (United States)

2012-07-20T23:59:59.000Z

394

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.

395

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.

396

Novel sensorless generator control and grid fault ride-through strategies for variable-speed wind turbines and implementation on a new real-time simulation platform.  

E-Print Network (OSTI)

??The usage of MW-size variable-speed wind turbines as sources of energy has increased significantly during the last decade. Advantages over fixed-speed wind turbines include more… (more)

Yang, Sheng

2010-01-01T23:59:59.000Z

397

Characterization of the wind power resource in Europe and its intermittency*  

E-Print Network (OSTI)

Characterization of the wind power resource in Europe and its intermittency* Alexandra Cosseron Characterization of the wind power resource in Europe and its intermittency Alexandra Cosseron a, *, Udaya Bhaskar-4307, USA Abstract Wind power is assessed over Europe, with a special care given to the quantification

398

Assessing the wind field over the continental shelf as a resource for electric power  

E-Print Network (OSTI)

for the comparison period) that the near-coast phase advantage is obviated. We also find more consistent wind powerAssessing the wind field over the continental shelf as a resource for electric power by Richard W. Garvine1,2 and Willett Kempton1,3,4 ABSTRACT To assess the wind power resources of a large continental

Firestone, Jeremy

399

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

400

WORM: A new open road line source model for low wind speed conditions  

Science Journals Connector (OSTI)

Emission from road traffic constitutes one of the most important sources of air pollution in urban areas. This paper describes a newly developed air pollution dispersion model for open roads and highways called WORM (Weak Wind Open Road Model), and give some results using this model at Nordbysletta, Norway, in the period 1 January 200215 April 2002. Generally, a good correspondence was found between observed and model-predicted concentrations of nitrogen oxides (NOx), even in periods with low wind speed and (strongly) stable atmospheric conditions.

S.E. Walker

2011-01-01T23:59:59.000Z

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

Fig. 1. One hour measured irradiance and wind speed data with 0.2 seconds, 3 seconds and 1 minute (interpolated) sampling time.  

E-Print Network (OSTI)

Fig. 1. One hour measured irradiance and wind speed data with 0.2 seconds, 3 seconds and 1 minute of the solar irradiance and wind speed in fast changing conditions on the utility grid. This work proposes of resolution of the solar irradiance G [W/m2 ], ambient temperature Ta [K] and wind speed v [m/s] on a study

Sera, Dezso

402

Detecting and evaluating climate change effect on frequency analysis of wind speed  

Science Journals Connector (OSTI)

The purpose of this study is to detect an existing trend in wind speed and to evaluate the effect of climate change on frequency analysis of wind speed in Iran. Twenty-two stations with a length of records higher than 50 years have been selected. Five statistical methods that were used to detect the trends are Mann-Kendall, Spearman-Conley, cumulative deviation, autocorrelation coefficient and regression analysis. It is revealed that 11 stations have a positive or a negative trend while the rest has no trend. Climate change leads to a lack of homogeneity in a number of stations. Therefore, it is impossible to use frequency analysis for those stations. One appropriate approach is dividing the stations into two smaller parts, and for each part, frequency analysis could be taken if the part is homogenous.

Saeid Eslamian; Hadi Hassanzadeh; Mohammad Javad Khordadi

2009-01-01T23:59:59.000Z

403

A Coral Reefs Optimization algorithm with Harmony Search operators for accurate wind speed prediction  

Science Journals Connector (OSTI)

Abstract This paper introduces a new hybrid bio-inspired solver which combines elements from the recently proposed Coral Reefs Optimization (CRO) algorithm with operators from the Harmony Search (HS) approach, which gives rise to the coined CRO-HS optimization technique. Specifically, this novel bio-inspired optimizer is utilized in the context of short-term wind speed prediction as a means to obtain the best set of meteorological variables to be input to a neural Extreme Learning Machine (ELM) network. The paper elaborates on the main characteristics of the proposed scheme and discusses its performance when predicting the wind speed based on the measures of two meteorological towers located in USA and Spain. The good results obtained in these experiments when compared to naïve versions of the CRO and HS algorithms are promising and pave the way towards the utilization of the derived hybrid solver in other optimization problems arising from diverse disciplines.

S. Salcedo-Sanz; A. Pastor-Sánchez; J. Del Ser; L. Prieto; Z.W. Geem

2015-01-01T23:59:59.000Z

404

Log-normal distribution based EMOS models for probabilistic wind speed forecasting  

E-Print Network (OSTI)

Ensembles of forecasts are obtained from multiple runs of numerical weather forecasting models with different initial conditions and typically employed to account for forecast uncertainties. However, biases and dispersion errors often occur in forecast ensembles, they are usually under-dispersive and uncalibrated and require statistical post-processing. We present an Ensemble Model Output Statistics (EMOS) method for calibration of wind speed forecasts based on the log-normal (LN) distribution, and we also show a regime-switching extension of the model which combines the previously studied truncated normal (TN) distribution with the LN. Both presented models are applied to wind speed forecasts of the eight-member University of Washington mesoscale ensemble, of the fifty-member ECMWF ensemble and of the eleven-member ALADIN-HUNEPS ensemble of the Hungarian Meteorological Service, and their predictive performances are compared to those of the TN and general extreme value (GEV) distribution based EMOS methods an...

Baran, Sándor

2014-01-01T23:59:59.000Z

405

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

406

Characteristics of 50–200-m Winds and Temperatures Derived from an Iowa Tall-Tower Network  

Science Journals Connector (OSTI)

Limitations in skill of wind speed forecasts lead to conservative bids of wind-plant production in the day-ahead energy market and usually to an underutilization of wind resources. Improvements are needed in understanding wind characteristics in ...

Renee A. Walton; Eugene S. Takle; William A. Gallus Jr.

2014-10-01T23:59:59.000Z

407

Modelling renewable electric resources: A case study of wind  

SciTech Connect

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

408

Beyond 10 Km Range wind-speed measurement with a 1.5 ”m all-fiber laser source  

Science Journals Connector (OSTI)

We report the development of a high power single-frequency all-fiber laser for long-range wind speed measurement. The laser source has been integrated in a Lidar architecture and we...

Renard, William; Goular, Didier; Valla, Matthieu; Planchat, Christophe; Augere, Beatrice; Dolfi-Bouteyre, Agnes; Besson, Claudine; Canat, Guillaume

409

Glacial Cooling in the Tropics: Exploring the Roles of Tropospheric Water Vapor, Surface Wind Speed, and Boundary Layer Processes  

Science Journals Connector (OSTI)

This paper is a modeling study of possible roles for tropospheric water vapor, surface wind speed, and boundary layer processes in glacial cooling in the Tropics. The authors divide the Tropics into a region of persistent deep convection and a ...

Richard Seager; Amy C. Clement; Mark A. Cane

2000-07-01T23:59:59.000Z

410

Magnetic-Driven Winds from Post-AGB Stars: Solutions for High Speed Winds and Extreme Collimation  

E-Print Network (OSTI)

This paper explores the effects of post-AGB winds driven solely by magnetic pressure from the stellar surface. It is found that winds can reach high speeds under this assumption, and lead to the formation of highly collimated proto-planetary nebulae. Bipolar knotty jets with periodic features and constant velocity are well reproduced by the models. Several wind models with terminal velocities from a few tens of $\\kms$ up to $10^3$ $\\kms$ are calculated, yielding outflows with linear momenta in the range $10^{36}-10^{40} \\gcms$, and kinetic energies in the range $10^{42}-10^{47} $ erg. These results are in accord with recent observations of proto-planetary nebulae that have pointed out serious energy and momentum deficits if radiation pressure is considered as the only driver for these outflows. Our models strengthen the notion that the large mass-loss rates of post-AGB stars, together with the short transition times from the late AGB to the planetary nebula stage, could be directly linked with the generation of strong magnetic fields during this transition stage.

Guillermo Garcia-Segura; Jose Alberto Lopez; Jose Franco

2004-09-24T23:59:59.000Z

411

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.

412

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.

413

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.

414

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.

415

Correlated solar wind speed, density, and magnetic field changes at J. D. Richardson and C. Wang1  

E-Print Network (OSTI)

Correlated solar wind speed, density, and magnetic field changes at Voyager 2 J. D. Richardson and C. Wang1 Center for Space Research, Massachusetts Institute of Technology, Cambridge, Massachusetts December 2003. [1] The character of the solar wind plasma data observed by Voyager 2 recently changed

Richardson, John

416

Occurrence of high-speed solar wind streams over the Grand Modern Maximum  

E-Print Network (OSTI)

In the declining phase of the solar cycle, when the new-polarity fields of the solar poles are strengthened by the transport of same-signed magnetic flux from lower latitudes, the polar coronal holes expand and form non-axisymmetric extensions toward the solar equator. These extensions enhance the occurrence of high-speed solar wind streams (HSS) and related co-rotating interaction regions in the low-latitude heliosphere, and cause moderate, recurrent geomagnetic activity in the near-Earth space. Here, using a novel definition of geomagnetic activity at high (polar cap) latitudes and the longest record of magnetic observations at a polar cap station, we calculate the annually averaged solar wind speeds as proxies for the effective annual occurrence of HSS over the whole Grand Modern Maximum (GMM) from 1920s onwards. We find that a period of high annual speeds (frequent occurrence of HSS) occurs in the declining phase of each solar cycle 16-23. For most cycles the HSS activity clearly maximizes during one year...

Mursula, Kalevi; Holappa, Lauri

2015-01-01T23:59:59.000Z

417

Adaptive neuro-fuzzy evaluation of wind farm power production as function of wind speed and direction  

Science Journals Connector (OSTI)

Wind velocity assumes a critical part for measuring the power created by the wind turbines. Nonetheless, power production from wind has a few weaknesses. One significant issue is that wind is a discontinuous ener...

Dalibor Petkovi?; Shahaboddin Shamshirband…

2014-05-01T23:59:59.000Z

418

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

SciTech Connect

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

419

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

420

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

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

The Influence of Demand Resource Response Time in Balancing Wind and Load  

Science Journals Connector (OSTI)

The integration of demand response resources into wholesale electricity markets facilitates the growth in wind power integration. Available demand resources have different capabilities in terms of response time, as demonstrated by the variety of programs ... Keywords: demand response, wind integration, power spectral density

Judith Cardell; Lindsay Anderson

2013-01-01T23:59:59.000Z

422

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

E-Print Network (OSTI)

Impact of increased penetration of wind and PV solar resources on the bulk power system Vijay the impact of increased penetration of wind and solar resources on the bulk energy system (BES) · The BES Vittal Ira A. Fulton Chair Professor School of Electrical, Computer and Energy Engineering Arizona State

423

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)

424

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

425

The effect of wind speed and direction and surrounding maize on hybrid ventilation in a dairy cow building in Denmark  

Science Journals Connector (OSTI)

Abstract This study evaluated the effect of wind speed and direction and surrounding maize field on the air exchange rate (ACH) and indoor air velocity in a dairy cow building with hybrid ventilation, which combined auto-controlled natural and partial mechanical pit ventilation. The standard k ? ? turbulence model and standard wall function were applied in CFD modeling with extension of capability to account for the aerodynamics effect of surrounding maize plant canopy in the wind domain by using user defined functions (UDF). This extended model was validated by on-site measured velocities and temperatures. A reasonably good agreement was found between simulated and measured results. The wind speed influenced ACH greatly while modeling the maize field had little effect on ACH with low wind speed. With wind speed of 3.86 m s?1 in validation case, modeling the maize field reduced total ACH by 24%, ACH via bottom openings on the sidewall by 89.7% and air speed measured upwind by 71%. The results revealed that the plant canopy had the most significant effect on ACH through the opening on the sidewall. With the variation of wind direction from 0° to 90°, the difference of ACH could be 60%.

L. Rong; D. Liu; E.F. Pedersen; G. Zhang

2015-01-01T23:59:59.000Z

426

WINDExchange: Wind Resource Maps and Anemometer Loan Program...  

Wind Powering America (EERE)

to help homeowners, communities, states and regions consider and plan for wind energy deployment. Read about the available wind maps for utility-, community-, and...

427

New England Wind Forum: Wind Power Economics  

Wind Powering America (EERE)

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

428

Effect of Tip-Speed Constraints on the Optimized Design of a Wind Turbine  

SciTech Connect

This study investigates the effect of tip-velocity constraints on system levelized cost of energy (LCOE). The results indicate that a change in maximum tip speed from 80 to 100~m/s could produce a 32% decrease in gearbox weight (a 33% reduction in cost) which would result in an overall reduction of 1%-9% in system LCOE depending on the design approach. Three 100~m/s design cases were considered including a low tip-speed ratio/high-solidity rotor design, a high tip-speed ratio/ low-solidity rotor design, and finally a flexible blade design in which a high tip-speed ratio was used along with removing the tip deflection constraint on the rotor design. In all three cases, the significant reduction in gearbox weight caused by the higher tip-speed and lower overall gear ratio was counterbalanced by increased weights for the rotor and/or other drivetrain components and the tower. As a result, the increased costs of either the rotor or drivetrain components offset the overall reduction in turbine costs from down-sizing the gearbox. Other system costs were not significantly affected, whereas energy production was slightly reduced in the 100~m/s case low tip-speed ratio case and increased in the high tip-speed ratio case. This resulted in system cost of energy reductions moving from the 80~m/s design to the 100~m/s designs of 1.2% for the low tip-speed ratio, 4.6% for the high tip-speed ratio, and 9.5% for the final flexible case (the latter result is optimistic because the impact of deflection of the flexible blade on power production was not modeled). Overall, the results demonstrate that there is a trade-off in system design between the maximum tip velocity and the overall wind plant cost of energy, and there are many trade-offs within the overall system in designing a turbine for a high maximum tip velocity.

Dykes, K.; Resor, B.; Platt, A.; Guo, Y.; Ning, A.; King, R.; Parsons, T.; Petch, D.; Veers, P.

2014-10-01T23:59:59.000Z

429

Coronal Heating and Acceleration of the High/Low-Speed Solar Wind by Fast/Slow MHD Shock Trains  

E-Print Network (OSTI)

We investigate coronal heating and acceleration of the high- and low-speed solar wind in the open field region by dissipation of fast and slow magnetohydrodynamical (MHD) waves through MHD shocks. Linearly polarized \\Alfven (fast MHD) waves and acoustic (slow MHD) waves travelling upwardly along with a magnetic field line eventually form fast switch-on shock trains and hydrodynamical shock trains (N-waves) respectively to heat and accelerate the plasma. We determine one dimensional structure of the corona from the bottom of the transition region (TR) to 1AU under the steady-state condition by solving evolutionary equations for the shock amplitudes simultaneously with the momentum and proton/electron energy equations. Our model reproduces the overall trend of the high-speed wind from the polar holes and the low-speed wind from the mid- to low-latitude streamer except the observed hot corona in the streamer. The heating from the slow waves is effective in the low corona to increase the density there, and plays an important role in the formation of the dense low-speed wind. On the other hand, the fast waves can carry a sizable energy to the upper level to heat the outer corona and accelerate the high-speed wind effectively. We also study dependency on field strength, $B_0$, at the bottom of the TR and non-radial expansion of a flow tube, $f_{\\rm max}$, to find that large $B_0/f_{\\rm max}\\gtrsim 2$ but small $B_0\\simeq 2$G are favorable for the high-speed wind and that small $B_0/f_{\\rm max}\\simeq 1$ is required for the low-speed wind.

Takeru K. Suzuki

2003-12-22T23:59:59.000Z

430

A data mining approach: Analyzing wind speed and insolation period data in Turkey for installations of wind and solar power plants  

Science Journals Connector (OSTI)

Wind and solar power plant installations have been recently increased rapidly with respect to the depletion of fossil-based fuels all over the world. Due to stochastic nature of meteorological conditions, wind and solar energies have a non-schedulable nature and they require several installation analyses to determine the location and the capacities of wind and solar power to be produced. This paper focuses on the similarity, feasibility and numerical analyses of 75 cities in Turkey based on the monthly average wind speed and insolation period data. The nearest and the farest neighbor algorithms are used as agglomerative hierarchical clustering methods with Euclidean, Manhattan and Minkowski distance metrics in the stage of making the similarity and feasibility analyses. The maximum cophenetic correlation coefficient is achieved by the nearest neighbor algorithm with the Minkowski distance metric in the similarity and feasibility analyses. On the other hand, graphical representations of the monthly average wind speed and insolation period data are utilized for making the numerical analysis. The highest annual average wind speed and insolation period are obtained as 3.88 m/s and 8.45 h/day, respectively. Overall, many inferences were achieved in acceptable and efficient limits for wind and solar energy.

Ilhami Colak; Seref Sagiroglu; Mehmet Demirtas; Mehmet Yesilbudak

2013-01-01T23:59:59.000Z

431

Wind Speed Estimation and Parametrization of Wake Models for Downregulated Offshore Wind Farms within the scope of PossPOW Project  

Science Journals Connector (OSTI)

With increasing installed capacity, wind farms are requested to downregulate more frequently, especially in the offshore environment. Determination and verification of possible (or available) power of downregulated offshore wind farms are the aims of the PossPOW project (see PossPOW.dtu.dk). Two main challenges encountered in the project so far are the estimation of wind speed and the recreation of the flow inside the downregulated wind farm as if it is operating ideally. The rotor effective wind speed was estimated using power, pitch angle and rotational speed as inputs combined with a generic Cp model. The results have been compared with Horns Rev-I dataset and NREL 5MW simulations under both downregulation and normal operation states. For the real-time flow recreation, the GCLarsen single wake model was re-calibrated using a 1-s dataset from Horns Rev and tested for the downregulated period. The re-calibrated model has to be further parametrized to include dynamic effects such as wind direction variability and meandering also considering different averaging time scales before implemented in full scale wind farms.

Tuhfe Göçmen Bozkurt; Gregor Giebel; Niels Kjűlstad Poulsen; Mahmood Mirzaei

2014-01-01T23:59:59.000Z

432

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.

433

Title: Ontario Wind Power Allocation Ontario Ministry of Natural Resources  

E-Print Network (OSTI)

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

434

A wind-tunnel investigation of the wind speed and turbulence characteristics close to the ground over various escarpment shapes  

Science Journals Connector (OSTI)

A wind-tunnel investigation of the wind flow over two-dimensional forward-facing escarpments ... into the effects of local topography on the wind flow close to the ground. Four sharp ... -wire anemometer. The mod...

A. J. Bowen; D. Lindley

1977-10-01T23:59:59.000Z

435

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

436

Ben Ticha M. B., Ranchin T., Wald L., Using several data sources for offshore wind resource assessment, 2005, Copenhagen Offshore Wind conference 2005  

E-Print Network (OSTI)

Ben Ticha M. B., Ranchin T., Wald L., Using several data sources for offshore wind resource assessment, 2005, Copenhagen Offshore Wind conference 2005 1 Using several data sources for offshore wind of production. Nowadays, the resource is evaluated by interpolation of discrete measurements but offshore

Boyer, Edmond

437

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

SciTech Connect

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

438

EVOLUTION OF THE RELATIONSHIPS BETWEEN HELIUM ABUNDANCE, MINOR ION CHARGE STATE, AND SOLAR WIND SPEED OVER THE SOLAR CYCLE  

SciTech Connect

The changing relationships between solar wind speed, helium abundance, and minor ion charge state are examined over solar cycle 23. Observations of the abundance of helium relative to hydrogen (A{sub He} {identical_to} 100 Multiplication-Sign n{sub He}/n{sub H}) by the Wind spacecraft are used to examine the dependence of A{sub He} on solar wind speed and solar activity between 1994 and 2010. This work updates an earlier study of A{sub He} from 1994 to 2004 to include the recent extreme solar minimum and broadly confirms our previous result that A{sub He} in slow wind is strongly correlated with sunspot number, reaching its lowest values in each solar minima. During the last minimum, as sunspot numbers reached their lowest levels in recent history, A{sub He} continued to decrease, falling to half the levels observed in slow wind during the previous minimum and, for the first time observed, decreasing even in the fastest solar wind. We have also extended our previous analysis by adding measurements of the mean carbon and oxygen charge states observed with the Advanced Composition Explorer spacecraft since 1998. We find that as solar activity decreased, the mean charge states of oxygen and carbon for solar wind of a given speed also fell, implying that the wind was formed in cooler regions in the corona during the recent solar minimum. The physical processes in the coronal responsible for establishing the mean charge state and speed of the solar wind have evolved with solar activity and time.

Kasper, J. C.; Stevens, M. L.; Korreck, K. E.; Maruca, B. A.; Kiefer, K. K. [Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138 (United States); Schwadron, N. A. [Institute for the Study of Earth, Oceans and Space, University of New Hampshire, Durham, NH 03824 (United States); Lepri, S. T. [Department of Atmospheric, Oceanic and Space Studies, University of Michigan, Ann Arbor, MI 48109 (United States)

2012-02-01T23:59:59.000Z

439

Cross-Spectrum of Wind Speed for Meso-Gamma Scales in the Upper Surface Layer over South-Eastern Australia  

Science Journals Connector (OSTI)

Analytical expressions for the cross-spectrum of wind speed are developed for the stochastic simulation of wind power in south-eastern Australia. The expressions...?1.... The influence of site separation distance...

Milton J. Woods; Robert J. Davy; Christopher J. Russell…

2011-10-01T23:59:59.000Z

440

Assessment of Wind and Solar Energy Resources in Bangladesh  

Science Journals Connector (OSTI)

Wind and solar energy are the alternative energy sources that can be used to supplement the conventional energy sources particularly in Bangladesh. In this work, the aim was to assess the current wind and sola...

Sanjoy Kumar Nandi; Mohammad Nasirul Hoque…

2013-11-01T23:59:59.000Z

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

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

SciTech Connect

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

442

Temporal and spatial variability of wind resources in the United States as derived from the Climate Forecast System Reanalysis  

Science Journals Connector (OSTI)

This study examines the spatial and temporal variability of wind speed at 80 m above ground (the average hub height of most modern wind turbines) in the contiguous United States using Climate Forecast System Reanalysis (CFSR) data from 1979 to ...

Lejiang Yu; Shiyuan Zhong; Xindi Bian; Warren E. Heilman

443

LIDAR Wind Speed Measurement Analysis and Feed-Forward Blade Pitch Control for Load Mitigation in Wind Turbines: January 2010--January 2011  

SciTech Connect

This report examines the accuracy of measurements that rely on Doppler LIDAR systems to determine their applicability to wind turbine feed-forward control systems and discusses feed-forward control system designs that use preview wind measurements. Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feed-forward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. The first half of this report examines the accuracy of different measurement scenarios that rely on coherent continuous-wave or pulsed Doppler LIDAR systems to determine their applicability to feed-forward control. In particular, the impacts of measurement range and angular offset from the wind direction are studied for various wind conditions. A realistic case involving a scanning LIDAR unit mounted in the spinner of a wind turbine is studied in depth with emphasis on choices for scan radius and preview distance. The effects of turbulence parameters on measurement accuracy are studied as well. Continuous-wave and pulsed LIDAR models based on typical commercially available units were used in the studies present in this report. The second half of this report discusses feed-forward control system designs that use preview wind measurements. Combined feedback/feed-forward blade pitch control is compared to industry standard feedback control when simulated in realistic turbulent above-rated winds. The feed-forward controllers are designed to reduce fatigue loads, increasing turbine lifetime and therefore reducing the cost of energy. Three feed-forward designs are studied: non-causal series expansion, Preview Control, and optimized FIR filter. The input to the feed-forward controller is a measurement of incoming wind speeds that could be provided by LIDAR. Non-causal series expansion and Preview Control methods reduce blade root loads but increase tower bending in simulation results. The optimized FIR filter reduces loads overall, keeps pitch rates low, and maintains rotor speed regulation and power capture, while using imperfect wind measurements provided by the spinning continuous-wave LIDAR model.

Dunne, F.; Simley, E.; Pao, L.Y.

2011-10-01T23:59:59.000Z

444

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

SciTech Connect

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

445

Repetitive substorms caused by Alfvenic waves of the interplanetary magnetic field during high-speed solar wind streams  

E-Print Network (OSTI)

, but they may be locally generated from stream-stream interaction effects or amplified AlfveÂŽn waves originating-speed solar wind streams D.-Y. Lee,1 L. R. Lyons,2 K. C. Kim,1 J.-H. Baek,3 K.-H. Kim,3 H.-J. Kim,1 J. Weygand wind streams, J. Geophys. Res., 111, A12214, doi:10.1029/2006JA011685. 1. Introduction [2] During

Lyons, Larry

446

Feature selection in wind speed prediction systems based on a hybrid coral reefs optimization – Extreme learning machine approach  

Science Journals Connector (OSTI)

Abstract This paper presents a novel approach for short-term wind speed prediction based on a Coral Reefs Optimization algorithm (CRO) and an Extreme Learning Machine (ELM), using meteorological predictive variables from a physical model (the Weather Research and Forecast model, WRF). The approach is based on a Feature Selection Problem (FSP) carried out with the CRO, that must obtain a reduced number of predictive variables out of the total available from the WRF. This set of features will be the input of an ELM, that finally provides the wind speed prediction. The CRO is a novel bio-inspired approach, based on the simulation of reef formation and coral reproduction, able to obtain excellent results in optimization problems. On the other hand, the ELM is a new paradigm in neural networks’ training, that provides a robust and extremely fast training of the network. Together, these algorithms are able to successfully solve this problem of feature selection in short-term wind speed prediction. Experiments in a real wind farm in the USA show the excellent performance of the CRO–ELM approach in this FSP wind speed prediction problem.

S. Salcedo-Sanz; A. Pastor-Sánchez; L. Prieto; A. Blanco-Aguilera; R. García-Herrera

2014-01-01T23:59:59.000Z

447

General study of the control principles and dynamic fault behaviour of variable-speed wind turbine and wind farm generic models  

Science Journals Connector (OSTI)

Abstract The interest towards generic models or sometimes also called standard models of wind turbine generators (WTGs) is significantly increasing. Mainly due to their improved power quality, better controllability and higher power extraction capability, variable-speed wind turbines driving a synchronous or an induction machine are capturing the global market. Throughout this paper, dynamic modelling and performance analysis of the generic models of the variable-speed WTGs, namely the doubly-fed induction generator and the fully-rated converter based WTGs, are achieved using integration between Matlab/Simulink and PSCAD/EMTDC simulation platforms. Later on, the performance of type-4 wind turbine driving a permanent magnet synchronous machine is analysed during fault and then compared with the case when driving a wound rotor induction machine. The differences in control principles and dynamic fault behaviour are highlighted. Afterwards, investigations on wind farm level are accomplished. A case study during which the developed generic models and the generic model of the variable-speed machine are compared is conducted. Different arrangements for the construction of the generic wind farm are considered.

Tareq Saber Abuaisha

2014-01-01T23:59:59.000Z

448

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)

449

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.

450

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

SciTech Connect

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

451

Iowa/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

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...

452

Arizona/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

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...

453

Ohio/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

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...

454

Minnesota/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

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...

455

Alaska/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

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...

456

Colorado/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

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...

457

U.S. Virgin Islands Wind Resources Update 2014  

Office of Environmental Management (EM)

Thanks to the students of University of the Virgin Islands and their advisor, Dr. David Smith, for monitoring and maintaining the wind measurement equipment and helping ensure...

458

Low Speed Virtual Wind Tunnel Simulation For Educational Studies In Introducing Computational Fluid Dynamics And Flow Visualization  

E-Print Network (OSTI)

, the Low Speed Virtual Wind Tunnel simulation is created. This program cuts down on the require information from the user in order to perform a simulation. The program is capable of taking an airfoil coordinates that is generated according to the user...

Yang, Cher-Chiang

2008-05-05T23:59:59.000Z

459

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

460

Prediction of wind speed profiles for short-term forecasting in the offshore environment R.J. Barthelmie and G. Giebel  

E-Print Network (OSTI)

in the forecast wind speed/power output might be anticipated using a directional rather than a constant bias for the calibration phase. A further advantage is that statistical techniques can predict power output directly rather than having to take the additional step of predicting power output from wind speed through the power

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


461

IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 23, NO. 2, JUNE 2008 551 Sliding Mode Power Control of Variable-Speed Wind  

E-Print Network (OSTI)

IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 23, NO. 2, JUNE 2008 551 Sliding Mode Power Control of Variable-Speed Wind Energy Conversion Systems Brice Beltran, Tarek Ahmed-Ali, and Mohamed El Hachemi in variable-speed wind energy conversion sys- tems (VS-WECS). These systems have two operation regions de

Paris-Sud XI, Université de

462

Calculating the offshore wind power resource: Robust assessment methods applied to the U.S. Atlantic Coast  

E-Print Network (OSTI)

Calculating the offshore wind power resource: Robust assessment methods applied to the U 2011 Available online xxx Keywords: Wind power Offshore wind power Resource assessment Marine spatial of an offshore area. The method uses publicly available oceanic, environmental and socio-economic data

Firestone, Jeremy

463

Satellite data for high resolution offshore wind resource mapping: A data fusion approach M.B. Ben Ticha a,*  

E-Print Network (OSTI)

Satellite data for high resolution offshore wind resource mapping: A data fusion approach M.B. Ben accurate high spatial and temporal resolutions wind measurements. Offshore, satellite data are an accurate radar, scatterometer, data fusion, offshore wind energy resource assessment. 1. INTRODUCTION Since

Paris-Sud XI, Université de

464

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.

465

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

Wind Powering America (EERE)

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

466

Assessing climate change impacts on the near-term stability of the wind energy resource over the United States  

Science Journals Connector (OSTI)

...sensitivity to greenhouse gas forcing (21). However...potentially be harnessed by wind turbines, scales with the cube...the wind speed at wind turbine hub height and compute...of the United States ( Solar Technical Information...global total greenhouse gas emissions. For this and...

S. C. Pryor; R. J. Barthelmie

2011-01-01T23:59:59.000Z

467

Assessing climate change impacts on the near-term stability of the wind energy resource over the United States  

Science Journals Connector (OSTI)

...wind-derived electricity generation capacity...2030, 20% of US electricity supply could derive...speed. Further, electricity generated by a wind turbine...deployed, power production from wind turbines...of observational sites and resulting increases...Oklahoma, and Kansas (Fig. 3), which...

S. C. Pryor; R. J. Barthelmie

2011-01-01T23:59:59.000Z

468

This document will help you understand the statistics commonly used to describe wind when it is studied  

E-Print Network (OSTI)

Resource Assessment Wind Data Permitting Case Studies 1. 2. 3. 4. 5. 6. 7. Wind Statistics 6 Inside this Edition: Wind Data Overview p. 1 Wind Statistics p. 1 Graphs p. 2 For more information p. 2 Wind speedsThis document will help you understand the statistics commonly used to describe wind when

Massachusetts at Amherst, University of

469

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.

470

U.S. Virgin Islands Wind Resources Update 2014  

SciTech Connect

This report summarizes the data collected from two 60-meter meteorological towers and three sonic detection and ranging units on St. Thomas and St. Croix in 2012 and 2013. These results are an update to the previous feasibility study; the collected data are critical to the successful development of a wind project at either site.

Roberts, J. O.; Warren, A.

2014-12-01T23:59:59.000Z

471

U.S. Virgin Islands Wind Resources Update 2014  

Office of Energy Efficiency and Renewable Energy (EERE)

Summarizes the data collected from two 60-meter meteorological towers and three sonic detection and ranging units on St. Thomas and St. Croix in 2012 and 2013. The report leverages previous feasibility studies conducted at NREL, including Wind Power Opportunities in St. Thomas, USVI: A Site-Specific Analysis.

472

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

Science Journals Connector (OSTI)

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

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

1988-03-01T23:59:59.000Z

473

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

474

Technology Improvement Opportunities for Low Wind Speed Turbines and Implications for Cost of Energy Reduction: July 9, 2005 - July 8, 2006  

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

Technology Improvement Technology Improvement Opportunities for Low Wind Speed Turbines and Implications for Cost of Energy Reduction July 9, 2005 - July 8, 2006 J. Cohen and T. Schweizer Princeton Energy Resources International (PERI) Rockville, Maryland A. Laxson, S. Butterfield, S. Schreck, and L. Fingersh National Renewable Energy Laboratory Golden, Colorado P. Veers and T. Ashwill Sandia National Laboratories Albuquerque, New Mexico Technical Report NREL/TP-500-41036 February 2008 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy

475

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

SciTech Connect

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

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

2005-09-01T23:59:59.000Z

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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...