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Note: This page contains sample records for the topic "offshore 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

The Wind Speed Profile At Offshore Wind Farm Sites  

E-Print Network (OSTI)

Using Monin-Obukhov theory the vertical wind speed profile can be predicted from the wind speed at one height, when the two parameters Monin-Obukhov length and sea surface roughness are known. The applicability of this theory for wind power prediction at offshore sites is investigated using data from the measurement program Rdsand in the Danish Baltic Sea. Different methods to estimate the two parameters are discussed and compared. Significant deviations to the theory are found for near-neutral and stable conditions, where the measured wind shear is larger than predicted. A simple correction method to account for this effect has been developed and tested.

Bernhard Lange Sren; Bernhard Lange; Sren E. Larsen; Jrgen Hjstrup; Rebecca Barthelmie

2002-01-01T23:59:59.000Z

2

Modelling the Vertical Wind Speed and Turbulence Intensity Profiles at Prospective Offshore Wind Farm Sites  

E-Print Network (OSTI)

Monin-Obukhov theory predicts the well-known log-linear form of the vertical wind speed profile. A turbulence intensity profile can be estimated from this by assuming that the standard deviation of the wind speed is proportional to the friction velocity. Two parameters, namely the aerodynamic surface roughness length and the MoninObukhov length, are than needed to predict the vertical wind speed and turbulence intensity profiles from a measurement at one height. Different models to estimate these parameters for conditions important for offshore wind energy utilisation are compared and tested: Four models for the surface roughness and three methods to derive the Monin-Obukov-length from measurements. They have been tested with data from the offshore field measurement Rdsand by extrapolating the measured 10 m wind speed to 50 m height and comparing it with the measured 50 m wind speed.

Bernhard Lange; Sren Larsen; Jrgen Hjstrup; Rebecca Barthelmie; Ulrich Focken

2002-01-01T23:59:59.000Z

3

NREL: Wind Research - Offshore Wind Research  

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

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

4

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

Science Conference Proceedings (OSTI)

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

R. J. Barthelmie; S. C. Pryor

2003-01-01T23:59:59.000Z

5

Evaluation Of Models For The Vertical Extrapolation Of Wind Speed Measurements At Offshore Sites  

E-Print Network (OSTI)

Monin-Obukhov theory predicts the well-known log-linear form of the vertical wind speed profile. Two parameters, namely the aerodynamic surface roughness length and the Monin-Obukhov-length, are needed to predict the vertical wind speed profile from a measurement at one height. Different models to estimate these parameters for conditions important for offshore wind energy utilisation are discussed and tested: Four models for the surface roughness and three methods to derive the Monin-Obukov-length from measurements are compared. They have been tested with data from the offshore field measurement Rdsand by extrapolating the measured 10 m wind speed to 50 m height and comparing it with the measured 50 m wind speed. The mean

Bernhard Lange; Jrgen Hjstrup; Sren Larsen; Rebecca Barthelmie

2001-01-01T23:59:59.000Z

6

NREL GIS Data: Global Offshore Wind GIS data for offshore wind...  

Open Energy Info (EERE)

Global Offshore Wind GIS data for offshore wind speed (meterssecond). Specified to Exclusive Economic Zones (EEZ).

Wind resource based on NOAA blended sea winds and...

7

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

8

Low Wind Speed Technology Phase II: Offshore Floating Wind Turbine Concepts: Fully Coupled Dynamic Response Simulations; Massachusetts Institute of Technology  

SciTech Connect

This fact sheet describes a subcontract with Massachusetts Institute of Technology to study dynamic response simulations to evaluate floating platform concepts for offshore wind turbines.

2006-03-01T23:59:59.000Z

9

Comparison of Mean Wind Speeds and Turbulence at a Coastal Site and Offshore Location  

Science Conference Proceedings (OSTI)

Observations of mean wind speed and longitudinal turbulence at a height of 8 m over the Atlantic ocean, 5 km off Long Island, New York, were compared with simultaneous observations at the beach. Results were grouped into wind direction classes ...

S. SethuRaman; G. S. Raynor

1980-01-01T23:59:59.000Z

10

Offshore Wind Potential Tables  

Wind Powering America (EERE)

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

11

Offshore Wind 101  

Wind Powering America (EERE)

visual impact and potential user conflict. Sorry. According to the Department of Energy's national renewable energy lab, the nation's potential offshore wind energy resource is...

12

NREL: Wind Research - Offshore Wind Research  

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

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

13

Session: Offshore wind  

DOE Green Energy (OSTI)

This session at the Wind Energy and Birds/Bats workshop consisted of two presentations. Due to time constraints, a discussion period was not possible. The session addressed the current state of offshore wind energy development. The first presentation ''Monitoring Program and Results: Horns Rev and Nysted'' by Jette Gaarde summarized selected environmental studies conducted to date at operating offshore wind turbine projects in Denmark and lessons from other offshore wind developments in Europe. Wildlife impacts studies from the Danish sites focused on birds, fish, and mammals. The second presentation ''What has the U.S. Wind Industry Learned from the European Example'' by Bonnie Ram provided an update on current permit applications for offshore wind developments in the U.S. as well as lessons that may be drawn from the European experience.

Gaarde, Jette; Ram, Bonnie

2004-09-01T23:59:59.000Z

14

Session: Offshore wind  

SciTech Connect

This session at the Wind Energy and Birds/Bats workshop consisted of two presentations. Due to time constraints, a discussion period was not possible. The session addressed the current state of offshore wind energy development. The first presentation ''Monitoring Program and Results: Horns Rev and Nysted'' by Jette Gaarde summarized selected environmental studies conducted to date at operating offshore wind turbine projects in Denmark and lessons from other offshore wind developments in Europe. Wildlife impacts studies from the Danish sites focused on birds, fish, and mammals. The second presentation ''What has the U.S. Wind Industry Learned from the European Example'' by Bonnie Ram provided an update on current permit applications for offshore wind developments in the U.S. as well as lessons that may be drawn from the European experience.

Gaarde, Jette; Ram, Bonnie

2004-09-01T23:59:59.000Z

15

Blyth Offshore Wind Ltd | Open Energy Information  

Open Energy Info (EERE)

Blyth Offshore Wind Ltd Jump to: navigation, search Name Blyth Offshore Wind Ltd Place United Kingdom Sector Renewable Energy, Wind energy Product Blyth Offshore Wind Limited,...

16

Norfolk Offshore Wind NOW | Open Energy Information  

Open Energy Info (EERE)

Norfolk Offshore Wind NOW Jump to: navigation, search Name Norfolk Offshore Wind (NOW) Place United Kingdom Sector Wind energy Product Formed to develop the 100MW Cromer offshore...

17

Definition: Offshore Wind | Open Energy Information  

Open Energy Info (EERE)

Definition: Offshore Wind Jump to: navigation, search Dictionary.png Offshore Wind Wind turbine installations built near-shore or further offshore on coastlines for...

18

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)

19

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

Science Conference Proceedings (OSTI)

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

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

2004-05-01T23:59:59.000Z

20

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

Note: This page contains sample records for the topic "offshore 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 Turbine Wakes Measured by Sodar  

Science Conference Proceedings (OSTI)

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

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

2003-04-01T23:59:59.000Z

22

Offshore Wind Research (Fact Sheet)  

SciTech Connect

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

2011-10-01T23:59:59.000Z

23

Offshore Wind Research (Fact Sheet)  

DOE Green Energy (OSTI)

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

Not Available

2011-10-01T23:59:59.000Z

24

Offshore Wind Accelerator | Open Energy Information  

Open Energy Info (EERE)

Sector Wind energy Product Research and development initiative aimed at cutting the cost of offshore wind energy. References Offshore Wind Accelerator1 LinkedIn Connections...

25

Floating offshore wind farms : demand planning & logistical challenges of electricity generation  

E-Print Network (OSTI)

Floating offshore wind farms are likely to become the next paradigm in electricity generation from wind energy mainly because of the near constant high wind speeds in an offshore environment as opposed to the erratic wind ...

Nnadili, Christopher Dozie, 1978-

2009-01-01T23:59:59.000Z

26

Energy from Offshore Wind: Preprint  

DOE Green Energy (OSTI)

This paper provides an overview of the nascent offshore wind energy industry including a status of the commercial offshore industry and the technologies that will be needed for full market development.

Musial, W.; Butterfield, S.; Ram, B.

2006-02-01T23:59:59.000Z

27

Offshore Wind Turbines and Their Installation  

Science Conference Proceedings (OSTI)

Offshore winds tend to be higher, more constant and not disturbed by rough terrain, so there is a large potential for utilizing wind energy near to the sea. Compared with the wind energy converters onland, wind turbine components offshore will subject ... Keywords: renewable energy, wind power generation, offshore wind turbines, offshore installation

Liwei Li; Jianxing Ren

2010-01-01T23:59:59.000Z

28

Proposed Evanston Offshore Wind Farm  

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

Evanston Offshore Wind Farm Evanston Offshore Wind Farm August 1, 2011 Monday, August 1, 2011 Off Shore Wind Farm FAQ Document available from http://www.greenerevanston.org/ at the Renewable Energy Task Force tab Monday, August 1, 2011 City Manager Commits to City to sign onto Kyoto emissions reduction goals Wind Farm Timeline April 2006 Summer 2007 Fall 2008 February 2008 April 2010 March 2011 July 2011 Network for Evanston's Future proposes joint climate planning effort CGE Formed and Renewable Energy Task Force formed - Wind farm concept begun ECAP passed by City Council with 1st version of proposed Offshore Wind Farm included Offshore Wind Farm RFI unanimously passed by City Council Mayor Tisdahl appointments Committee on the Wind Farm City Council

29

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

Open Energy Info (EERE)

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

...

30

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

Open Energy Info (EERE)

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

...

31

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

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

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

32

Accelerating Offshore Wind Development | Department of Energy  

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

Rooftop Solar Challenge NEUP Award Recipients NEUP Award Recipients 2011 Grants for Offshore Wind Power 2011 Grants for Offshore Wind Power 2011 Grants for Advanced...

33

Extreme Wind Speeds: Publications  

Science Conference Proceedings (OSTI)

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

2013-08-19T23:59:59.000Z

34

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

Wind Powering America (EERE)

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

35

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

U.S. Energy Information Administration (EIA)

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

36

Offshore Wind Power | Open Energy Information  

Open Energy Info (EERE)

Power Jump to: navigation, search Name Offshore Wind Power Place St Albans, United Kingdom Zip AL1 3AW Sector Wind energy Product Formed to develop offshore wind farms around the...

37

Doppler LidarBased Wind-Profile Measurement System for Offshore Wind-Energy and Other Marine Boundary Layer Applications  

Science Conference Proceedings (OSTI)

Accurate measurement of wind speed profiles aloft in the marine boundary layer is a difficult challenge. The development of offshore wind energy requires accurate information on wind speeds above the surface at least at the levels occupied by ...

Yelena L. Pichugina; Robert M. Banta; W. Alan Brewer; Scott P. Sandberg; R. Michael Hardesty

2012-02-01T23:59:59.000Z

38

Offshore Ostsee Wind AG | Open Energy Information  

Open Energy Info (EERE)

Ostsee Wind AG Jump to: navigation, search Name Offshore Ostsee Wind AG Place Brgerende, Mecklenburg-Western Pomerania, Germany Zip 18211 Sector Wind energy Product Joint...

39

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

Enabling New Markets for Offshore Wind Energy." Proc. ofMary, and Laura Parsons. Offshore Wind Energy. Washingto,Challenges for Floating Offshore Wind Turbines. Tech. no.

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

40

2011 Grants for Offshore Wind Power | Department of Energy  

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

Offshore Wind Power 2011 Grants for Offshore Wind Power 2011 Grants for Offshore Wind Power Addthis Browse By Topic TOPICS Energy Efficiency ---Home Energy Audits --Design &...

Note: This page contains sample records for the topic "offshore 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

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

Enabling New Markets for Offshore Wind Energy." Proc. ofand Laura Parsons. Offshore Wind Energy. Washingto, DC:Challenges for Floating Offshore Wind Turbines. Tech. no.

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

42

OpenEI - offshore wind  

Open Energy Info (EERE)

/0 en Offshore Wind Resource /0 en Offshore Wind Resource http://en.openei.org/datasets/node/921 Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW)

License
43

offshore wind | OpenEI  

Open Energy Info (EERE)

wind wind 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 Average vote Your vote

44

wind offshore | OpenEI  

Open Energy Info (EERE)

offshore offshore Dataset Summary Description This dataset presents summary information related to world wind energy. It is part of a supporting dataset for the book World On the Edge: How to Prevent Environmental and Economic Collapse by Lester R. Brown, available from the Earth Policy Institute. Source Earth Policy Institute Date Released January 12th, 2011 (3 years ago) Date Updated Unknown Keywords EU wind offshore Wind Power wind power capacity world Data application/vnd.ms-excel icon Excel spreadsheet, data on multiple tabs (xls, 114.7 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period through 2009 License License Open Data Commons Attribution License Comment "Reuse of our data is permitted. We merely ask that wherever it is listed, it be appropriately cited"

45

Definition: Offshore Wind | Open Energy Information  

Open Energy Info (EERE)

Offshore Wind Offshore Wind (Redirected from Offshore Wind) Jump to: navigation, search Dictionary.png Offshore Wind Wind turbine installations built near-shore or further offshore on coastlines for commercial electricity generation.[1] View on Wikipedia Wikipedia Definition View on Reegle Reegle Definition No reegle definition available Related Terms wind turbine, wind farm, near-shore, offshore References ↑ http://en.wikipedia.org/wiki/Offshore_wind_power Retrie LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ved from "http://en.openei.org/w/index.php?title=Definition:Offshore_Wind&oldid=586583" Category: Definitions What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

46

Accelerating Offshore Wind Development | Department of Energy  

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

Accelerating Offshore Wind Development Accelerating Offshore Wind Development Accelerating Offshore Wind Development December 12, 2012 - 2:15pm Addthis Matthew Loveless Matthew Loveless Data Integration Specialist, Office of Public Affairs What does this project do? The 2012 investments support innovative offshore installations for commercial deployment by 2017. The 2011 grants were targeted at projects that aim to either improve the technology used for offshore wind generation or remove the market barriers to offshore wind generation. View the Full Map Today the Energy Department announced investments in seven offshore wind demonstration projects. These projects are part of a broader effort to launch an offshore wind industry in the United States, and support innovative offshore installations for commercial deployment by 2017.

47

Offshore Wind Energy Market Overview (Presentation)  

SciTech Connect

This presentation describes the current international market conditions regarding offshore wind, including the breakdown of installation costs, how to reduce costs, and the physical siting considerations considered when planning offshore wind construction. The presentation offers several examples of international existing and planned offshore wind farm sites and compares existing international offshore resources with U.S. resources. The presentation covers future offshore wind trends and cites some challenges that the United States must overcome before it will be able to fully develop offshore wind sites.

Baring-Gould, I.

2013-07-01T23:59:59.000Z

48

Overview of Offshore Wind Technology: Preprint  

SciTech Connect

This paper provides a short overview of some of the challenges facing the growth of offshore wind energy technology.

Butterfield, C. P.; Musial, W.; Jonkman, J.

2007-10-01T23:59:59.000Z

49

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

E-Print Network (OSTI)

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

Bernhard Lange; Sren Larsen; Jrgen Hjstrup Rebecca Barthelmie; Jrgen Hjstrup; Rebecca Barthelmie; Bernhard Lange

2004-01-01T23:59:59.000Z

50

Hurricanes and Offshore Wind Farms  

Wind Powering America (EERE)

Hurricanes and Offshore Wind Farms Hurricanes and Offshore Wind Farms July 17, 2013 Man: Please continue to stand by. Today's conference will begin momentarily. Thank you. Coordinator: Welcome, and think you for standing by. At this time, all participants are in a listen only mode for the duration of today's call. Today's conference is being recorded. If you have any objections, you may disconnect at this time. Now I would like to turn the meeting over to Mr. Jonathan Bartlett. Sir you may begin. Jonathan Bartlett: Thank you. Good afternoon, this is Jonathan Bartlett. I'm speaking to you from the Department of Energy in Washington, D.C. Welcome everyone to the July Edition of the Wind Power in America webinar. This month we have two speakers, Joel Cline and Mark Powell will discuss the impacts of

51

NREL: Wind Research - Grid Integration of Offshore Wind  

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

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

52

Offshore Wind Energy Update  

Wind Powering America (EERE)

wind farms are already operating in 10 countries. Almost 1,700 turbines are in the water. We're probably beyond 5,000 megawatts in nameplate right now and that's just going to...

53

Cost of Offshore Wind Energy Charlene Nalubega  

E-Print Network (OSTI)

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

Mountziaris, T. J.

54

41 Offshore Wind Power R&D Projects Receive Energy Department Funding  

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

Department of Energy Awards $43 Million to speed technical innovations, lower costs, and shorten the timeline for deploying offshore wind energy systems.

55

Galveston Offshore Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Offshore Wind Farm Offshore Wind Farm Jump to: navigation, search Name Galveston Offshore Wind Farm Facility Galveston Offshore Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Wind Energy Systems Technology Developer Wind Energy Systems Technology Location Offshore from Galveston TX Coordinates 29.161°, -94.797° 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":29.161,"lon":-94.797,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

56

Wind resources and wind farm wake effects offshore observed from satellite  

E-Print Network (OSTI)

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

57

Obama Administration Hosts Great Lakes Offshore Wind Workshop...  

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

Hosts Great Lakes Offshore Wind Workshop in Chicago with Great Lakes Wind Collaborative Obama Administration Hosts Great Lakes Offshore Wind Workshop in Chicago with Great Lakes...

58

Strengthening America's Energy Security with Offshore Wind (Fact Sheet) (Revised)  

DOE Green Energy (OSTI)

This fact sheet provides a brief description of offshore wind energy development in the U.S. and DOE's Wind Program offshore wind R&D activities.

Not Available

2012-04-01T23:59:59.000Z

59

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

of European Wind Energy Conference 2009, Marseille, France.Enabling New Markets for Offshore Wind Energy." Proc.Parsons. Offshore Wind Energy. Washingto, DC: Environmental

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

60

European Wind Atlas: Offshore | Open Energy Information  

Open Energy Info (EERE)

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

Note: This page contains sample records for the topic "offshore 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

INFOGRAPHIC: Offshore Wind Outlook | Department of Energy  

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

Offshore Wind Outlook Offshore Wind Outlook INFOGRAPHIC: Offshore Wind Outlook December 12, 2012 - 2:15pm Addthis According to a new report commissioned by the Energy Department, a U.S. offshore wind industry that takes advantage of this abundant domestic resource could support up to 200,000 manufacturing, construction, operation and supply chain jobs across the country and drive over $70 billion in annual investments by 2030. Infographic by Sarah Gerrity. For more details, check out: New Reports Chart Offshore Wind’s Path Forward. According to a new report commissioned by the Energy Department, a U.S. offshore wind industry that takes advantage of this abundant domestic

62

Tillamook Offshore Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Offshore Wind Farm Offshore Wind Farm Jump to: navigation, search Name Tillamook Offshore Wind Farm Facility Tillamook Offshore Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Principle Power Developer Principle Power Location Offshore from Tillamook OR Coordinates 45.527°, -124.179° 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":45.527,"lon":-124.179,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

63

Offshore Wind Turbines: Some Technical Challenges  

E-Print Network (OSTI)

1 Offshore Wind Turbines: Some Technical Challenges Prof. Guy Houlsby FREng Oxford University House engineers concerned with installation of offshore wind turbines. The author is Professor of Civil solved, a DTI and EPSRC-sponsored research programme on foundations for wind turbines will be briefly

Houlsby, Guy T.

64

Low Wind Speed Technology Phase II: Developing Techniques to Evaluate the Designs and Operating Environments of Offshore Wind Turbines in the Mid-Atlantic and Lower Great Lakes Region; AWS Truewind, LLC  

DOE Green Energy (OSTI)

This fact sheet describes a subcontract with AWS Truewind, LLC to study offshore wind and wave environments of the Atlantic and lower Great Lakes regions by estimating available wind power resource.

Not Available

2006-03-01T23:59:59.000Z

65

Wind tunnel model testing of offshore platforms.  

E-Print Network (OSTI)

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

Abrahamsen, Ida Sinnes

2012-01-01T23:59:59.000Z

66

Offshore Wind in NY State (New York)  

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

NYSERDA has expressed support for the development of offshore wind and committed funding to several publicly-available assessments that measure the potential energy benefits and environmental...

67

OpenEI - offshore  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm3220 en NREL GIS Data: Global Offshore Wind http:en.openei.orgdatasetsnode869

GIS data for offshore wind speed (meters...

68

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

SciTech Connect

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

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

2011-03-01T23:59:59.000Z

69

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...

70

Deepwater Offshore Wind Technology Research Requirements (Poster)  

DOE Green Energy (OSTI)

A poster presentation for AWEA's WindPower 2005 conference in Denver, Colorado, May 15-18, 2005 that provides an outline of the requirements for deepwater offshore wind technology development

Musial, W.

2005-05-01T23:59:59.000Z

71

Deepwater Offshore Wind Technology Research Requirements (Poster)  

SciTech Connect

A poster presentation for AWEA's WindPower 2005 conference in Denver, Colorado, May 15-18, 2005 that provides an outline of the requirements for deepwater offshore wind technology development

Musial, W.

2005-05-01T23:59:59.000Z

72

Lattice Tower Design of Offshore Wind Turbine Support Structures.  

E-Print Network (OSTI)

??Optimal design of support structure including foundation and turbine tower is among the most critical challenges for offshore wind turbine. With development of offshore wind (more)

Gong, W.

2011-01-01T23:59:59.000Z

73

DOE Announces Webinars on Economic Impacts of Offshore Wind,...  

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

DOE Announces Webinars on Economic Impacts of Offshore Wind, Clean Energy Financing Programs, and More DOE Announces Webinars on Economic Impacts of Offshore Wind, Clean Energy...

74

Definition of a 5-MW Reference Wind Turbine for Offshore System Development  

SciTech Connect

This report describes a three-bladed, upwind, variable-speed, variable blade-pitch-to-feather-controlled multimegawatt wind turbine model developed by NREL to support concept studies aimed at assessing offshore wind technology.

Jonkman, J.; Butterfield, S.; Musial, W.; Scott, G.

2009-02-01T23:59:59.000Z

75

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

76

Sensitivity Analysis of Offshore Wind Cost of Energy (Poster)  

DOE Green Energy (OSTI)

No matter the source, offshore wind energy plant cost estimates are significantly higher than for land-based projects. For instance, a National Renewable Energy Laboratory (NREL) review on the 2010 cost of wind energy found baseline cost estimates for onshore wind energy systems to be 71 dollars per megawatt-hour ($/MWh), versus 225 $/MWh for offshore systems. There are many ways that innovation can be used to reduce the high costs of offshore wind energy. However, the use of such innovation impacts the cost of energy because of the highly coupled nature of the system. For example, the deployment of multimegawatt turbines can reduce the number of turbines, thereby reducing the operation and maintenance (O&M) costs associated with vessel acquisition and use. On the other hand, larger turbines may require more specialized vessels and infrastructure to perform the same operations, which could result in higher costs. To better understand the full impact of a design decision on offshore wind energy system performance and cost, a system analysis approach is needed. In 2011-2012, NREL began development of a wind energy systems engineering software tool to support offshore wind energy system analysis. The tool combines engineering and cost models to represent an entire offshore wind energy plant and to perform system cost sensitivity analysis and optimization. Initial results were collected by applying the tool to conduct a sensitivity analysis on a baseline offshore wind energy system using 5-MW and 6-MW NREL reference turbines. Results included information on rotor diameter, hub height, power rating, and maximum allowable tip speeds.

Dykes, K.; Ning, A.; Graf, P.; Scott, G.; Damiami, R.; Hand, M.; Meadows, R.; Musial, W.; Moriarty, P.; Veers, P.

2012-10-01T23:59:59.000Z

77

Department of Energy Awards $43 Million to Spur Offshore Wind Energy |  

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

Department of Energy Awards $43 Million to Spur Offshore Wind Department of Energy Awards $43 Million to Spur Offshore Wind Energy Department of Energy Awards $43 Million to Spur Offshore Wind Energy September 8, 2011 - 9:46am Addthis Washington, D.C. - U.S. Energy Secretary Steven Chu today announced $43 million over the next five years to speed technical innovations, lower costs, and shorten the timeline for deploying offshore wind energy systems. The 41 projects across 20 states will advance wind turbine design tools and hardware, improve information about U.S. offshore wind resources, and accelerate the deployment of offshore wind by reducing market barriers such as supply chain development, transmission and infrastructure. The awards announced today will help the U.S. to compete in the global wind energy manufacturing sector, promote economic development and job creation, and

78

Department of Energy Awards $43 Million to Spur Offshore Wind Energy |  

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

Department of Energy Awards $43 Million to Spur Offshore Wind Department of Energy Awards $43 Million to Spur Offshore Wind Energy Department of Energy Awards $43 Million to Spur Offshore Wind Energy September 8, 2011 - 9:46am Addthis Washington, D.C. - U.S. Energy Secretary Steven Chu today announced $43 million over the next five years to speed technical innovations, lower costs, and shorten the timeline for deploying offshore wind energy systems. The 41 projects across 20 states will advance wind turbine design tools and hardware, improve information about U.S. offshore wind resources, and accelerate the deployment of offshore wind by reducing market barriers such as supply chain development, transmission and infrastructure. The awards announced today will help the U.S. to compete in the global wind energy manufacturing sector, promote economic development and job creation, and

79

Virginia Offshore Wind Development Authority (Virginia) | Department of  

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

Virginia Offshore Wind Development Authority (Virginia) Virginia Offshore Wind Development Authority (Virginia) Virginia Offshore Wind Development Authority (Virginia) < Back Eligibility Commercial Construction Developer Industrial Installer/Contractor Investor-Owned Utility Local Government Municipal/Public Utility Rural Electric Cooperative Systems Integrator Tribal Government Utility Savings Category Wind Buying & Making Electricity Program Info State Virginia Program Type Industry Recruitment/Support Provider Virginia Offshore Wind Development Authority The Virginia Offshore Wind Development Authority is a public body, established for the purposes of facilitating, coordinating, and supporting the development, either by the Authority or by other qualified entities, of the offshore wind energy industry, offshore wind energy projects, and

80

Loads Analysis of Several Offshore Floating Wind Turbine Concepts  

SciTech Connect

This paper presents a comprehensive dynamic-response analysis of six offshore floating wind turbine concepts.

Robertson, A. N.; Jonkman, J. M.

2011-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

Accelerating Offshore Wind Development | Department of Energy  

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

Accelerating Offshore Wind Development Accelerating Offshore Wind Development Accelerating Offshore Wind Development Click on a project for more information. The Energy Department has selected seven projects that will accelerate the commercialization of innovative offshore wind technologies in the United States. Each project will receive up to $4 million from the Energy Department to complete the engineering, site evaluation, and planning phase of their project. Upon completion of this phase, the Energy Department will select the up to three of these projects to advance the follow-on design, fabrication, and deployment phases to achieve commercial operation by 2017. Each of the these projects will be eligible for up to $47 million in additional funding over four years, subject to Congressional appropriations. This map also includes 42

82

Large-Scale Offshore Wind Power  

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

Large-Scale Offshore Wind Power in the United States EXECUTIVE SUMMARY September 2010 NOTICE This report was prepared as an account of work sponsored by an agency of the United...

83

Engineering Challenges for Floating Offshore Wind Turbines  

SciTech Connect

The major objective of this paper is to survey the technical challenges that must be overcome to develop deepwater offshore wind energy technologies and to provide a framework from which the first-order economics can be assessed.

Butterfield, S.; Musial, W.; Jonkman, J.; Sclavounos, P.

2007-09-01T23:59:59.000Z

84

Offshore wind project surges ahead in South Carolina | Department of Energy  

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

Offshore wind project surges ahead in South Carolina Offshore wind project surges ahead in South Carolina Offshore wind project surges ahead in South Carolina October 12, 2010 - 10:00am Addthis Researchers pull buoys from waters off South Carolina's coast. The buoys collected wind speed measurements for the past year. | Photo courtesy of the Center for Marine and Wetland Studies Researchers pull buoys from waters off South Carolina's coast. The buoys collected wind speed measurements for the past year. | Photo courtesy of the Center for Marine and Wetland Studies Stephen Graff Former Writer & editor for Energy Empowers, EERE 6 buoys collected wind speeds off South Carolina coast Data collected helps determine possible location for an offshore wind farm DOE funded research for early stage of project In the parking lot of Coastal Carolina University's Center for Marine and

85

Offshore Wind Energy | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit History Facebook icon Twitter icon » Offshore Wind Energy Jump to: navigation, search The Middelgrunden Wind Farm was established as a collaboration between Middelgrunden Wind Turbine Cooperative and Copenhagen Energy, each installing 10 2-MW Bonus wind turbines. The farm is located off the coast of Denmark, east of the northern tip of Amager. Photo from H.C. Sorensen, NREL 17856 Offshore wind energy is a clean, domestic, renewable resource that can help the United States meet its critical energy, environmental, and economic challenges. By generating electricity from offshore wind turbines, the nation can reduce its greenhouse gas emissions, diversify its energy supply, provide cost-competitive electricity to key coastal regions, and help revitalize key sectors of its economy, including manufacturing.

86

Improvement Of The Wind Farm Model Flap For Offshore Applications  

E-Print Network (OSTI)

The wind farm program FLaP (Farm Layout Program), developed at the University of Oldenburg, has been extended to improve the description of wake development in offshore conditions, especially the low ambient turbulence and the effect of atmospheric stability. Model results have been compared with measurements from the Danish offshore wind farm Vindeby. Vertical wake profiles and mean turbulence intensities in the wake were compared for 32 scenarios of single, double and quintuple wake cases with different mean wind speed, turbulence intensity and atmospheric stability. It was found that within the measurement uncertainties the results of the wake model compares well with the measurements for the most important ambient conditions. The effect of the low turbulence intensity offshore on the wake development was modelled well. Deviations have been found when atmospheric stability deviates from near-neutral conditions. Especially for stable atmospheric conditions both the free flow model and the wake model do not give satisfying results.

Bernhard Lange; Hans-peter Waldl; Rebecca Barthelmie; Algert Gil Guerrero; Detlev Heinemann

2002-01-01T23:59:59.000Z

87

Short-Term Wind Speed Forecasting for Power System Operations  

E-Print Network (OSTI)

Global large scale penetration of wind energy is accompanied by significant challenges due to the intermittent and unstable nature of wind. High quality short-term wind speed forecasting is critical to reliable and secure power system operations. This paper gives an overview of the current status of worldwide wind power developments and future trends, and reviews some statistical short-term wind speed forecasting models, including traditional time series models and advanced space-time statistical models. It also discusses the evaluation of forecast accuracy, in particular the need for realistic loss functions. New challenges in wind speed forecasting regarding ramp events and offshore wind farms are also presented.

Xinxin Zhu; Marc G. Genton

2011-01-01T23:59:59.000Z

88

Strengthening America's Energy Security with Offshore Wind (Fact Sheet)  

DOE Green Energy (OSTI)

This fact sheet describes the current state of the offshore wind industry in the United States and the offshore wind research and development activities conducted the U.S. Department of Energy Wind and Water Power Program.

Not Available

2012-02-01T23:59:59.000Z

89

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

Enabling New Markets for Offshore Wind Energy." Proc.of European Wind Energy Conference 2009, Marseille, France.and S. E. Sowby. Standardized Wind and Wave Environments for

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

90

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

to the support platform is the NREL offshore 5- MW baselineOffshore wind turbine classification [3]. .. 3 Figure 1.2: Alternative platform

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

91

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

92

Department of Energy Awards $43 Million to Spur Offshore Wind Energy, Wind Program Newsletter, September 2011 Edition (Brochure)  

DOE Green Energy (OSTI)

EERE Wind Program Quarterly Newsletter - September 2011. In September, the U.S. Department of Energy announced that it will award $43 million over the next five years to 41 projects across 20 states to speed technical innovations, lower costs, and shorten the timeline for deploying offshore wind energy systems. The projects will advance wind turbine design tools and hardware, improve information about U.S. offshore wind resources, and accelerate the deployment of offshore wind by reducing market barriers such as supply chain development, transmission and infrastructure. The projects announced in September focus on approaches to advancing offshore technology and removing market barriers to responsible offshore wind energy deployment. Funding is subject to Congressional appropriations.

Not Available

2011-09-01T23:59:59.000Z

93

Correction of Land-Based Wind Data for Offshore Applications: A Further Evaluation  

Science Conference Proceedings (OSTI)

A formula that linearly relates the difference in wind speed between onshore and offshore regions, as tested successfully in the Great Lakes region, has been revised and extended to other parts of the world. This formula is further substantiated ...

S. A. Hsu

1986-02-01T23:59:59.000Z

94

NREL: Wind Research - Shedding Light on Offshore Wind Resources  

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

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

95

NREL: Wind Research - Milestone Cleared for Offshore Wind Energy...  

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

Milestone Cleared for Offshore Wind Energy Research Lease in Virginia March 25, 2013 The U.S. Department of the Interior's Bureau of Ocean Energy Management announced an important...

96

NREL: Wind Research - New England Offshore Wind Advances on Several...  

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

Research Search More Search Options Site Map Printable Version New England Offshore Wind Advances on Several Fronts January 14, 2013 At the end of 2012, New England's first two...

97

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

98

Wind Resource Mapping for United States Offshore Areas  

DOE Green Energy (OSTI)

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

Elliott, D.; Schwartz, M.

2006-06-01T23:59:59.000Z

99

Global Offshore Wind Farms Database | Open Energy Information  

Open Energy Info (EERE)

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

100

OFFSHORE WIND FARM LAYOUT OPTIMIZATION (OWFLO) PROJECT: AN INTRODUCTION  

E-Print Network (OSTI)

No complete mathematical model of offshore wind farm O&M costs has been found in the literature. Many studies expensive components of an offshore wind farm. Support structure, O&M, and wake models have been discussedOFFSHORE WIND FARM LAYOUT OPTIMIZATION (OWFLO) PROJECT: AN INTRODUCTION C. N. Elkinton* , J. F

Massachusetts at Amherst, University of

Note: This page contains sample records for the topic "offshore 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

Planning and control of logistics for offshore wind farms  

Science Conference Proceedings (OSTI)

Construction and utilization of offshore wind farms will increase within the next years. So far the first German offshore wind farm was constructed and put into operation by "Alpha Ventus". Experiences illustrate that bad weather conditions are the main ... Keywords: MILP, installation scheduling, maritime logistics, offshore wind farm, supply chain

Bernd Scholz-Reiter; Michael Ltjen; Jens Heger; Anne Schweizer

2010-11-01T23:59:59.000Z

102

An Update on the National Offshore Wind Strategy | Department...  

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

the National Offshore Wind Strategy December 17, 2012 - 11:27am Addthis Principle Power's wind float prototype in Portugal. The company was recently awarded an Energy Department...

103

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

Open Energy Info (EERE)

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

104

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

SciTech Connect

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

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

2010-11-23T23:59:59.000Z

105

Salazar, Chu Announce Major Offshore Wind Initiatives | Department of  

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

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

106

Overcoming Challenges in America's Offshore Wind Industry | Department of  

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

Overcoming Challenges in America's Offshore Wind Industry Overcoming Challenges in America's Offshore Wind Industry Overcoming Challenges in America's Offshore Wind Industry November 18, 2013 - 4:40pm Addthis Deputy Assistant Secretary for Renewable Energy Steven Chalk speaks during the American Wind Energy Association WINDPOWER Offshore conference in Providence, Rhode Island. | Photo courtesy of American Wind Energy Association Deputy Assistant Secretary for Renewable Energy Steven Chalk speaks during the American Wind Energy Association WINDPOWER Offshore conference in Providence, Rhode Island. | Photo courtesy of American Wind Energy Association Gregory M. Matzat PE; Senior Advisor, Offshore Wind Technologies A year of progress, preparation and promise was the theme connecting two days of panels and presentations last month at the 2013 American Wind

107

Offshore Wind Project Surges Ahead in South Carolina | Department of Energy  

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

Offshore Wind Project Surges Ahead in South Carolina Offshore Wind Project Surges Ahead in South Carolina Offshore Wind Project Surges Ahead in South Carolina October 13, 2010 - 11:21am Addthis Stephen Graff Former Writer & editor for Energy Empowers, EERE In the parking lot of Coastal Carolina University's Center for Marine and Wetland Studies (CMWS) in Conway, South Carolina, sit six buoys just back from sea. For 14 months, they were floating miles off the coasts of Myrtle Beach and Winyah Bay, as part of the Palmetto Wind Research Project in South Carolina, taking wind speed measurements for a study that could lay the foundation for an offshore wind farm. "It's been cooking along under the radar," said Paul Gayes, director of the CMWS, which partnered with local utility Santee Cooper. "We've

108

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

109

Garden State Offshore Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Offshore Wind Farm Offshore Wind Farm Jump to: navigation, search Name Garden State Offshore Wind Farm Facility Garden State Offshore Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Developer Garden State Offshore Energy Location Offshore from Avalon NJ Coordinates 39.08°, -74.310556° 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":39.08,"lon":-74.310556,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

110

Multi-hazard Reliability Assessment of Offshore Wind Turbines  

E-Print Network (OSTI)

A probabilistic framework is developed to assess the structural reliability of offshore wind turbines. Probabilistic models are developed to predict the deformation, shear force and bending moment demands on the support structure of wind turbines. The proposed probabilistic models are developed starting from a commonly accepted deterministic model and by adding correction terms and model errors to capture respectively, the inherent bias and the uncertainty in developed models. A Bayesian approach is then used to assess the model parameters incorporating the information from virtual experiment data. The database of virtual experiments is generated using detailed three-dimensional finite element analyses of a suite of typical offshore wind turbines. The finite element analyses properly account for the nonlinear soil-structure interaction. Separate probabilistic demand models are developed for three operational/load conditions including: (1) operating under day-to-day wind and wave loading; (2) operating throughout earthquake in presence of day-to-day loads; and (3) parked under extreme wind speeds and earthquake ground motions. The proposed approach gives special attention to the treatment of both aleatory and epistemic uncertainties in predicting the demands on the support structure of wind turbines. The developed demand models are then used to assess the reliability of the support structure of wind turbines based on the proposed damage states for typical wind turbines and their corresponding performance levels. A multi-hazard fragility surface of a given wind turbine support structure as well as the seismic and wind hazards at a specific site location are incorporated into a probabilistic framework to estimate the annual probability of failure of the support structure. Finally, a framework is proposed to investigate the performance of offshore wind turbines operating under day-to-day loads based on their availability for power production. To this end, probabilistic models are proposed to predict the mean and standard deviation of drift response of the tower. The results are used in a random vibration based framework to assess the fragility as the probability of exceeding certain drift thresholds given specific levels of wind speed.

Mardfekri Rastehkena, Maryam 1981-

2012-12-01T23:59:59.000Z

111

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

1985. 23. Hau, E. Wind Turbines: Fundamentals, Technologies,for Floating Offshore Wind Turbines. Tech. no. NREL/CP-500-Full-scale Floating Wind Turbine." Statoil, 14 Oct. 2009.

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

112

Modeling the National Potential for Offshore Wind: Preprint  

SciTech Connect

The Wind Deployment System (WinDS) model was created to assess the potential penetration of offshore wind in the United States under different technology development, cost, and policy scenarios.

Short, W.; Sullivan, P.

2007-06-01T23:59:59.000Z

113

Rhode Island Offshore Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Island Offshore Wind Farm Island Offshore Wind Farm Jump to: navigation, search Name Rhode Island Offshore Wind Farm Facility Rhode Island Offshore Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Developer Deepwater Wind Location Offshore from Sakonnet RI Coordinates 40.96°, -71.44° 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":40.96,"lon":-71.44,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

114

Obama Administration Hosts Great Lakes Offshore Wind Workshop in Chicago  

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

Hosts Great Lakes Offshore Wind Workshop in Hosts Great Lakes Offshore Wind Workshop in Chicago with Great Lakes Wind Collaborative Obama Administration Hosts Great Lakes Offshore Wind Workshop in Chicago with Great Lakes Wind Collaborative October 28, 2010 - 12:00am Addthis WASHINGTON - The White House Council on Environmental Quality and the U.S. Department of Energy hosted a workshop with the Great Lakes Wind Collaborative in Chicago on October 26 - 27, 2010, focused on the siting of offshore wind power in the Great Lakes. The two day workshop brought together wind developers, Federal and state regulators, environmental advocates, and other regional stakeholders to discuss methods for ensuring greater clarity, certainty and coordination of Federal and state decision-making for offshore wind development in the Great Lakes.

115

Blowing in the Wind ...Offshore | Department of Energy  

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

Blowing in the Wind ...Offshore Blowing in the Wind ...Offshore Blowing in the Wind ...Offshore February 10, 2011 - 9:28am Addthis Cathy Zoi Former Assistant Secretary, Office of Energy Efficiency & Renewable Energy What will this project do? The new offshore wind strategy lays out a path to potentially have 54 gigawatts of offshore wind capacity by 2030, enough to power more than 15 million homes with clean, renewable energy. Have you ever flown a kite at the beach? If you have, you know how breezy it can be. A few miles offshore, you'll find that the wind is even stronger and steadier. And it's like that all around the country. Along the eastern seaboard and west coast, in the Great Lakes and Gulf of Mexico, and even around Hawaii we have a massive clean energy resource waiting to

116

New Reports Chart Offshore Wind's Path Forward | Department of Energy  

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

Reports Chart Offshore Wind's Path Forward Reports Chart Offshore Wind's Path Forward New Reports Chart Offshore Wind's Path Forward December 12, 2012 - 2:29pm Addthis Taking a look at the challenges and opportunities that lie ahead as the U.S. prepares to enter the offshore wind market. Click here to view the full infographic. | Infographic by Sarah Gerrity. Taking a look at the challenges and opportunities that lie ahead as the U.S. prepares to enter the offshore wind market. Click here to view the full infographic. | Infographic by Sarah Gerrity. Taking a look at the challenges and opportunities that lie ahead as the U.S. prepares to enter the offshore wind market. Click here to view the full infographic. | Infographic by Sarah Gerrity.

117

Mustang Island Offshore Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Mustang Island Offshore Wind Farm Mustang Island Offshore Wind Farm Jump to: navigation, search Name Mustang Island Offshore Wind Farm Facility Mustang Island Offshore Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Baryonyx Corporation Developer Baryonyx Corporation Location Offshore from Mustang Island TX Coordinates 27.66°, -97.01° 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":27.66,"lon":-97.01,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

118

International Collaboration on Offshore Wind Energy Under IEA Annex XXIII  

DOE Green Energy (OSTI)

This paper defines the purpose of IEA Annex XXIII, the International Collaboration on Offshore Wind Energy. This international collaboration through the International Energy Agency (IEA) is an efficient forum from which to advance the technical and environmental experiences collected from existing offshore wind energy projects, as well as the research necessary to advance future technology for deep-water wind energy technology.

Musial, W.; Butterfield, S.; Lemming, J.

2005-11-01T23:59:59.000Z

119

Offshore Code Comparison Collaboration (OC3) for IEA Wind Task 23 Offshore Wind Technology and Deployment  

DOE Green Energy (OSTI)

This final report for IEA Wind Task 23, Offshore Wind Energy Technology and Deployment, is made up of two separate reports, Subtask 1: Experience with Critical Deployment Issues and Subtask 2: Offshore Code Comparison Collaborative (OC3). Subtask 1 discusses ecological issues and regulation, electrical system integration, external conditions, and key conclusions for Subtask 1. Subtask 2 included here, is the larger of the two volumes and contains five chapters that cover background information and objectives of Subtask 2 and results from each of the four phases of the project.

Jonkman, J.; Musial, W.

2010-12-01T23:59:59.000Z

120

NREL: Wind Research - New U.S. Offshore Wind Supply Chain Development...  

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

New U.S. Offshore Wind Supply Chain Development Resources Available April 8, 2013 Clean Energy States Alliance, in conjunction with Douglas-Westwood and the U.S. Offshore Wind...

Note: This page contains sample records for the topic "offshore 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

Feasibility Studies on Integrating Offshore Wind Power with Oil Platforms.  

E-Print Network (OSTI)

?? This thesis is centered around the possibilities of integrating offshore wind power together with oil and gas platforms. The motivation behind this topic is (more)

rdal, Atle Rygg

2011-01-01T23:59:59.000Z

122

Assessment of Offshore Wind Energy Resources for the United States  

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

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

123

EA-1792: University of Maine's Deepwater Offshore Floating Wind...  

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

You are here Home EA-1792: University of Maine's Deepwater Offshore Floating Wind Turbine Testing and Demonstration Project, Gulf of Maine EA-1792: University of Maine's...

124

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

U.S. Energy Information Administration (EIA)

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

125

Improved Offshore Wind Resource Assessment in Global Climate...  

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

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

126

New Report Shows Trend Toward Larger Offshore Wind Systems, with...  

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

delivered to consumers. This year's U.S. Offshore Wind Market and Economic Analysis, authored by the Navigant Consortium for the Energy Department, builds on last year's...

127

Virtual Wind Speed Sensor for Wind Turbines Andrew Kusiak1  

E-Print Network (OSTI)

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

Kusiak, Andrew

128

Numerical wind speed simulation model  

DOE Green Energy (OSTI)

A relatively simple stochastic model for simulating wind speed time series that can be used as an alternative to time series from representative locations is described in this report. The model incorporates systematic seasonal variation of the mean wind, its standard deviation, and the correlation speeds. It also incorporates systematic diurnal variation of the mean speed and standard deviation. To demonstrate the model capabilities, simulations were made using model parameters derived from data collected at the Hanford Meteorology Station, and results of analysis of simulated and actual data were compared.

Ramsdell, J.V.; Athey, G.F.; Ballinger, M.Y.

1981-09-01T23:59:59.000Z

129

EA-1792: University of Maine's Deepwater Offshore Floating Wind Turbine  

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

EA-1792: University of Maine's Deepwater Offshore Floating Wind EA-1792: University of Maine's Deepwater Offshore Floating Wind Turbine Testing and Demonstration Project, Gulf of Maine EA-1792: University of Maine's Deepwater Offshore Floating Wind Turbine Testing and Demonstration Project, Gulf of Maine Summary This EA evaluates the environmental impacts of a proposal to support research on floating offshore wind turbine platforms. This project would support the mission, vision, and goals of DOE's Office of Energy Efficiency and Renewable Energy Wind and Water Power Program to improve performance, lower costs, and accelerate deployment of innovative wind power technologies. Development of offshore wind energy technologies would help the nation reduce its greenhouse gas emissions, diversify its energy supply, provide cost-competitive electricity to key coastal regions, and

130

Chu, Salazar to Announce Major Offshore Wind Energy Initiatives |  

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

Salazar to Announce Major Offshore Wind Energy Initiatives Salazar to Announce Major Offshore Wind Energy Initiatives Chu, Salazar to Announce Major Offshore Wind Energy Initiatives February 4, 2011 - 12:00am Addthis NORFOLK,VA - On Monday, February 7, 2011 Energy Secretary Steven Chu and Secretary of the Interior Ken Salazar will announce major new initiatives to accelerate the responsible siting and development of offshore wind energy projects. WHAT: Offshore Wind Energy News Conference WHEN: Monday, February 7, 11:00 AM EST WHO: Steven Chu, Secretary of Energy Ken Salazar, Secretary of the Interior WHERE: Half Moone Center 11 Waterside Dr Norfolk, VA 23510 DIAL-IN: News media, state and local stakeholders, industry representatives and other interested parties can join a listen-only teleconference of the announcement by dialing 800-369-3311 and entering code: OFFSHORE.

131

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

Science Conference Proceedings (OSTI)

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

2013-08-19T23:59:59.000Z

132

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

133

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

U.S. Energy Information Administration (EIA)

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

134

Galveston Offshore Wind Phase 2 | Open Energy Information  

Open Energy Info (EERE)

Offshore Wind Phase 2 Offshore Wind Phase 2 Jump to: navigation, search Name Galveston Offshore Wind Phase 2 Facility Galveston Offshore Wind Phase 2 Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Coastal Point Energy LLC Developer Coastal Point Energy LLC Location Gulf of Mexico TX Coordinates 29.16°, -94.747° 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":29.16,"lon":-94.747,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

135

Michigan Offshore Wind Pilot Project | Open Energy Information  

Open Energy Info (EERE)

Offshore Wind Pilot Project Offshore Wind Pilot Project Jump to: navigation, search Name Michigan Offshore Wind Pilot Project Facility Michigan Offshore Wind Pilot Project Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Mighigan Alternative and Renewable Energy Center Developer Mighigan Alternative and Renewable Energy Center Location Muskegon Lake MI Coordinates 43.231°, -86.307° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.231,"lon":-86.307,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

136

Impact of offshore winds on a buoyant river plume system  

Science Conference Proceedings (OSTI)

Idealized numerical simulations utilizing the Regional Ocean Modeling System (ROMS) are carried out to examine the response of buoyant river plume systems to offshore directed wind stresses. It is found that after a few inertial periods of wind ...

Joseph T. Jurisa; Robert J. Chant

137

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

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

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

138

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

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

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

139

NREL Software Aids Offshore Wind Turbine Designs (Fact Sheet)  

DOE Green Energy (OSTI)

NREL researchers are supporting offshore wind power development with computer models that allow detailed analyses of both fixed and floating offshore wind turbines. While existing computer-aided engineering (CAE) models can simulate the conditions and stresses that a land-based wind turbine experiences over its lifetime, offshore turbines require the additional considerations of variations in water depth, soil type, and wind and wave severity, which also necessitate the use of a variety of support-structure types. NREL's core wind CAE tool, FAST, models the additional effects of incident waves, sea currents, and the foundation dynamics of the support structures.

Not Available

2013-10-01T23:59:59.000Z

140

Offshore Wind Plant Balance-of-Station Cost Drivers and Sensitivities...  

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

Sensitivities OFFSHORE WIND PLANT BALANCE-OF-STATION COST DRIVERS AND SENSITIVITIES OFFSHORE WIND PLANT BALANCE-OF-STATION COST DRIVERS AND SENSITIVITIES G. Saur, B. Maples, B....

Note: This page contains sample records for the topic "offshore 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

Wind Resource Mapping for United States Offshore Areas: Preprint  

DOE Green Energy (OSTI)

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

Elliott, D.; Schwartz, M.

2006-06-01T23:59:59.000Z

142

Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios  

SciTech Connect

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

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

2012-10-01T23:59:59.000Z

143

Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios  

DOE Green Energy (OSTI)

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

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

2012-10-01T23:59:59.000Z

144

Property:PotentialOffshoreWindGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialOffshoreWindGeneration PotentialOffshoreWindGeneration Jump to: navigation, search Property Name PotentialOffshoreWindGeneration Property Type Quantity Description The estimated potential energy generation from Offshore Wind for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialOffshoreWindGeneration" Showing 25 pages using this property. (previous 25) (next 25)

145

NREL: Wind Research - Energy Analysis of Offshore Systems  

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

Energy Analysis of Offshore Systems Energy Analysis of Offshore Systems Chart of cost data for actual and projected offshore wind projects as reported by developers. Enlarge image NREL has a long history of successful research to understand and improve the cost of wind generation technology. As a research laboratory, NREL is a neutral, third party and can provide an unbiased perspective of methodologies and approaches used to estimate direct and indirect economic impacts of offshore wind. Market Analysis NREL's extensive research on installed and proposed projects in Europe, the United States, and other emerging offshore markets enables the compilation of a database of installed and proposed project costs. These are used to report on cost trends. Recent studies include: Analysis of capital cost trends for planned and installed offshore

146

Future for Offshore Wind Energy in the United States: Preprint  

DOE Green Energy (OSTI)

Until recently, the offshore wind energy potential in the United States was ignored because vast onshore wind resources have the potential to fulfill the electrical energy needs for the entire country. However, the challenge of transmitting the electricity to the large load centers may limit wind grid penetration for land-based turbines. Offshore wind turbines can generate power much closer to higher value coastal load centers. Reduced transmission constraints, steadier and more energetic winds, and recent European success, have made offshore wind energy more attractive for the United States. However, U.S. waters are generally deeper than those on the European coast, and will require new technology. This paper presents an overview of U.S. coastal resources, explores promising deepwater wind technology, and predicts long-term cost-of-energy (COE) trends. COE estimates are based on generic 5-MW wind turbines in a hypothetical 500-MW wind power plant. Technology improvements and volume production are expected to lower costs to meet the U.S. Department of Energy target range of $0.06/kWh for deployment of deepwater offshore wind turbines by 2015, and $0.05/kWh by 2012 for shallow water. Offshore wind systems can diversify the U.S. electric energy supply and provide a new market for wind energy that is complementary to onshore development.

Musial, W.; Butterfield, S.

2004-06-01T23:59:59.000Z

147

Short-term Wind Power Prediction for Offshore Wind Farms -Evaluation of Fuzzy-Neural Network Based Models  

E-Print Network (OSTI)

Short-term Wind Power Prediction for Offshore Wind Farms - Evaluation of Fuzzy-Neural Network Based of wind power capacities are likely to take place offshore. As for onshore wind parks, short-term wind of offshore farms and their secure integration to the grid. Modeling the behavior of large wind farms

Paris-Sud XI, Université de

148

DOE Announces Webinars on an Offshore Wind Economic Impacts Model,  

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

an Offshore Wind Economic Impacts Model, an Offshore Wind Economic Impacts Model, Resources for Tribal Energy Efficiency Projects, and More DOE Announces Webinars on an Offshore Wind Economic Impacts Model, Resources for Tribal Energy Efficiency Projects, and More November 20, 2013 - 11:54am Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies to training for the clean energy workforce. Webinars are free; however, advanced registration is typically required. You can also watch archived webinars and browse previously aired videos, slides, and transcripts. Upcoming Webinars November 20: Live Webinar on Jobs and Economic Development Impacts of Offshore Wind Webinar Sponsor: EERE's Wind and Water Power Technologies Office

149

Foundation for Offshore Wind Energy | Open Energy Information  

Open Energy Info (EERE)

Offshore Wind Energy Offshore Wind Energy Jump to: navigation, search Name Foundation for Offshore Wind Energy Place Varel, Germany Zip D-26316 Sector Wind energy Product Foundation established to operate the 60MW Borkum West Offshore Wind Farm. Coordinates 53.393773°, 8.13759° 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":53.393773,"lon":8.13759,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

150

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

Wind Powering America (EERE)

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

151

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

DOE Green Energy (OSTI)

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

Not Available

2013-05-01T23:59:59.000Z

152

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

E-Print Network (OSTI)

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

153

Offshore Wind Farm Layout Optimization (OWFLO) Project: Preliminary Results  

E-Print Network (OSTI)

literature to date has focused on land-based wind farms, rather than on offshore farms. Typically, energy wind energy. The project combines an energy production model--taking into account wake effects the cost of energy while maximizing the energy production of the wind farm. Particular attention has been

Massachusetts at Amherst, University of

154

Dual-speed wind turbine generation  

SciTech Connect

Induction generator has been used since the early development of utility-scale wind turbine generation. An induction generator is the generator of choice because of its ruggedness and low cost. With an induction generator, the operating speed of the wind turbine is limited to a narrow range (almost constant speed). Dual- speed operation can be accomplished by using an induction generator with two different sets of winding configurations or by using a dual output drive train to drive two induction generators with two different rated speeds. With single-speed operation, the wind turbine operates at different power coefficients (Cp) as the wind speed varies. Operation at maximum Cp can occur only at a single wind speed. However, if the wind speed.varies across a wider range, the operating Cp will vary significantly. Dual-speed operation has the advantage of enabling the wind turbine to operate at near maximum Cp over a wider range of wind speeds. Thus, annual energy production can be increased. The dual-speed mode may generate less energy than a variable-speed mode; nevertheless, it offers an alternative which captures more energy than single-speed operation. In this paper, dual-speed operation of a wind turbine is investigated. Annual energy production is compared between single-speed and dual-speed operation. One type of control algorithm for dual-speed operation is proposed. Some results from a dynamic simulation will be presented to show how the control algorithm works as the wind turbine is exposed to varying wind speeds.

Muljadi, E.; Butterfield, C.P. [National Renewable Energy Lab., Golden, CO (United States); Handman, D. [Flowind Corp., San Rafael, CA (United States)

1996-10-01T23:59:59.000Z

155

Property:PotentialOffshoreWindCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialOffshoreWindCapacity PotentialOffshoreWindCapacity Jump to: navigation, search Property Name PotentialOffshoreWindCapacity Property Type Quantity Description The nameplate capacity technical potential from Offshore Wind for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

156

Offshore Wind and Vehicle to Grid Power | Princeton Plasma Physics...  

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

November 11, 2013, 4:30pm to 6:00pm Princeton University Computer Science Auditorium 104 Offshore Wind and Vehicle to Grid Power Professor Willett Kempton University of Delaware...

157

NREL Collaborates with SWAY on Offshore Wind Demonstration (Fact...  

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

SWAY hopes these data will validate its design for a 10-megawatt floating offshore wind turbine. The SWAY one-fifth scale prototype has a 13-meter (m) downwind rotor on a 29-m...

158

Jobs and Economic Development Impact (JEDI) Model: Offshore Wind...  

Wind Powering America (EERE)

default values representative of a "typical" offshore wind project constructed in water with an average depth of 25 meters and no farther than 100 nautical miles from a port....

159

Aeroelastic Instabilities of Large Offshore and Onshore Wind Turbines: Preprint  

DOE Green Energy (OSTI)

This paper examines the aeroelastic stability of a 5-MW conceptual wind turbine mounted on a floating barge and presents results for onshore and offshore configurations for various conditions.

Bir, G.; Jonkman, J.

2007-08-01T23:59:59.000Z

160

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

Note: This page contains sample records for the topic "offshore 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

Conceptual Model of Offshore Wind Environmental Risk Evaluation System  

SciTech Connect

In this report we describe the development of the Environmental Risk Evaluation System (ERES), a risk-informed analytical process for estimating the environmental risks associated with the construction and operation of offshore wind energy generation projects. The development of ERES for offshore wind is closely allied to a concurrent process undertaken to examine environmental effects of marine and hydrokinetic (MHK) energy generation, although specific risk-relevant attributes will differ between the MHK and offshore wind domains. During FY10, a conceptual design of ERES for offshore wind will be developed. The offshore wind ERES mockup described in this report will provide a preview of the functionality of a fully developed risk evaluation system that will use risk assessment techniques to determine priority stressors on aquatic organisms and environments from specific technology aspects, identify key uncertainties underlying high-risk issues, compile a wide-range of data types in an innovative and flexible data organizing scheme, and inform planning and decision processes with a transparent and technically robust decision-support tool. A fully functional version of ERES for offshore wind will be developed in a subsequent phase of the project.

Anderson, Richard M.; Copping, Andrea E.; Van Cleve, Frances B.; Unwin, Stephen D.; Hamilton, Erin L.

2010-06-01T23:59:59.000Z

162

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

E-Print Network (OSTI)

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

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

2013-01-01T23:59:59.000Z

163

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

Science Conference Proceedings (OSTI)

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

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

2008-12-01T23:59:59.000Z

164

The Future of Offshore Wind Energy and Transmission in New Jersey...  

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

1, 2013, 4:15pm to 5:30pm Colloquia MBG Auditorium The Future of Offshore Wind Energy and Transmission in New Jersey Kris Ohleth The Atlantic Wind Connection Offshore wind is the...

165

Strengthening America's Energy Security with Offshore Wind (Fact Sheet)  

SciTech Connect

This fact sheet describes the current state of the offshore wind industry in the United States and the offshore wind research and development activities conducted the U.S. Department of Energy Wind and Water Power Program.

2012-02-01T23:59:59.000Z

166

Strengthening America's Energy Security with Offshore Wind (Fact Sheet) (Revised)  

SciTech Connect

This fact sheet provides a brief description of offshore wind energy development in the U.S. and DOE's Wind Program offshore wind R&D activities.

2012-04-01T23:59:59.000Z

167

Offshore Wind Park Connection to an HVDC Platform, without using an AC Collector Platform.  

E-Print Network (OSTI)

?? This thesis investigates the comparison between two different alternating current topologies of an offshore wind farms connection to an offshore high voltage direct current (more)

Ahmad, Haseeb

2012-01-01T23:59:59.000Z

168

U.S. Offshore Wind Manufacturing and Supply Chain Development  

SciTech Connect

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

Hamilton, Bruce Duncan [Navigant Consulting, Inc.

2013-02-22T23:59:59.000Z

169

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

Science Conference Proceedings (OSTI)

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

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

2010-12-01T23:59:59.000Z

170

Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms  

Science Conference Proceedings (OSTI)

There is an urgent need to develop and optimize tools for designing large wind farm arrays for deployment offshore. This research is focused on improving the understanding of, and modeling of, wind turbine wakes in order to make more accurate ...

R. J. Barthelmie; S. C. Pryor; S. T. Frandsen; K. S. Hansen; J. G. Schepers; K. Rados; W. Schlez; A. Neubert; L. E. Jensen; S. Neckelmann

2010-08-01T23:59:59.000Z

171

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

DOE Green Energy (OSTI)

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

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

2014-10-01T23:59:59.000Z

172

Electrical Collection and Transmission Systems for Offshore Wind Power: Preprint  

SciTech Connect

The electrical systems needed for offshore wind farms to collect power from wind turbines--and transmit it to shore--will be a significant cost element of these systems. This paper describes the development of a simplified model of the cost and performance of such systems.

Green, J.; Bowen, A.; Fingersh, L.J.; Wan, Y.

2007-03-01T23:59:59.000Z

173

Subtask 2 The Offshore Code Comparison Collaboration (OC3) IEA Wind Task 23 Offshore Wind Technology and Deployment  

E-Print Network (OSTI)

the larger of the two volumes and contains five chapters that cover background information and objectives of Subtask 2 and the results from each of the four phases of the project. Recognizing the interest and challenges of offshore development of wind energy, IEA Wind Task 11,

Jason Jonkman; Walt Musial

2010-01-01T23:59:59.000Z

174

Rhode Island to Build First Offshore Wind Farm | Department of Energy  

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

Rhode Island to Build First Offshore Wind Farm Rhode Island to Build First Offshore Wind Farm Rhode Island to Build First Offshore Wind Farm March 15, 2010 - 6:38pm Addthis Rhode Island’s first offshore wind farm will be built in Block Island. | File photo Rhode Island's first offshore wind farm will be built in Block Island. | File photo Block Island, a small town with only 1,000 full-time, residents, is the site for a big project, when it will become home to Rhode Island's first offshore wind farm. Powerful ocean winds lie right off Block Island's south shore. That's the benefit of offshore wind farms - they can take advantage of the harder, stronger winds found a few miles off the coast Deepwater Wind LLC is leading the effort with plans to construct up to eight wind turbines three miles off of Block Island's shore.

175

An Update on the National Offshore Wind Strategy | Department of Energy  

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

An Update on the National Offshore Wind Strategy An Update on the National Offshore Wind Strategy An Update on the National Offshore Wind Strategy December 17, 2012 - 11:27am Addthis Principle Power's wind float prototype in Portugal. The company was recently awarded an Energy Department grant to support a 30 megawatt floating offshore wind farm near Oregon's Port of Coos Bay. | Photo courtesy of Principle Power. Principle Power's wind float prototype in Portugal. The company was recently awarded an Energy Department grant to support a 30 megawatt floating offshore wind farm near Oregon's Port of Coos Bay. | Photo courtesy of Principle Power. Jose Zayas Jose Zayas Program Manager, Wind and Water Power Program Get the Details on Offshore Wind Take a look at our National Offshore Wind Strategy for information

176

Large-Scale Offshore Wind Power in the United States: Executive Summary  

DOE Green Energy (OSTI)

This document provides a summary of a 236-page NREL report that provides a broad understanding of today's offshore wind industry, the offshore wind resource, and the associated technology challenges, economics, permitting procedures, and potential risks and benefits.

Musial, W.; Ram, B.

2010-09-01T23:59:59.000Z

177

Development of Offshore Wind Recommended Practice for U.S. Waters: Preprint  

DOE Green Energy (OSTI)

This paper discusses how the American Petroleum Institute oil and gas standards were interfaced with International Electrotechnical Commission and other wind turbine and offshore industry standards to provide guidance for reliable engineering design practices for offshore wind energy systems.

Musial, W. D.; Sheppard, R. E.; Dolan, D.; Naughton, B.

2013-04-01T23:59:59.000Z

178

Low Wind Speed Turbine Developments in Convoloid Gearing: Final Technical Report, June 2005 - October 2008  

DOE Green Energy (OSTI)

This report presents the results of a study conducted by Genesis Partners LP as part of the United States Department of Energy Wind Energy Research Program to develop wind technology that will enable wind systems to compete in regions having low wind speeds. The purpose of the program is to reduce the cost of electricity from large wind systems in areas having Class 4 winds to 3 cents per kWh for onshore systems or 5 cents per kWh for offshore systems. This work builds upon previous activities under the WindPACT project, the Next Generation Turbine project, and Phase I of the Low Wind Speed Turbine (LWST) project. This project is concerned with the development of more cost-effective gearing for speed increasers for wind turbines.

Genesis Partners LP

2010-08-01T23:59:59.000Z

179

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

DOE Green Energy (OSTI)

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

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

2011-05-01T23:59:59.000Z

180

Promoting Offshore Wind Along the "Fresh Coast" | Department of Energy  

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

Promoting Offshore Wind Along the "Fresh Coast" Promoting Offshore Wind Along the "Fresh Coast" Promoting Offshore Wind Along the "Fresh Coast" October 12, 2010 - 12:18pm Addthis Chris Hart Offshore Wind Team Lead, Wind & Water Power Program When people think about offshore wind power, the first location that comes to mind probably isn't Cleveland, Ohio. Most of the offshore wind turbines installed around the world are operating in salt water, like Europe's North Sea and Baltic Sea, and most of the offshore wind projects proposed in U.S. waters are in the Atlantic Ocean or Gulf of Mexico. But the winds blowing above Lake Erie, only a few miles off the shore from Cleveland, represent a huge potential source of clean, renewable energy that could yield substantial benefits for the regional economy and

Note: This page contains sample records for the topic "offshore 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

Structural And Economic Optimisation Of Bottom-Mounted Offshore Wind Energy Converters  

E-Print Network (OSTI)

A general overview is presented of the Opti-OWECS project. In several fields, support structure design, installation of the offshore wind energy converters, operation and maintenance, dynamics of the entire offshore wind energy converter, structural reliability considerations, etc., the study demonstrated new propositions which will contribute significantly to a mature offshore wind energy technology.

M. Khn; W. A. A. M. Bierbooms; G.J.W. van Bussel; M. C. Ferguson; B. Gransson; T.T. Cockerill; R. Harrison; L.A. Harland; J. H. Vugts; R. Wiecherink; Kvaerner Turbin Ab

1999-01-01T23:59:59.000Z

182

Status of Offshore Wind Energy Projects, Policies and Programs in the United States  

SciTech Connect

This paper provides the status of the offshore wind energy project proposals in the United States and describes strategic issues faced by the U.S. wind industry.

Musial, W.; Ram, B.

2008-01-01T23:59:59.000Z

183

Low Wind Speed Technology Phase I: Prototype Multi-Megawatt Low Wind Speed Turbine; General Electric Wind Energy, LLC  

SciTech Connect

This fact sheet describes a subcontract with GE Wind Energy to develop an advanced prototype turbine to significantly reduce energy costs (COE) in low wind speed environments.

2006-03-01T23:59:59.000Z

184

Property:PotentialOffshoreWindArea | Open Energy Information  

Open Energy Info (EERE)

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

185

Where the wind blows: navigating offshore wind development, domestically and abroad  

Science Conference Proceedings (OSTI)

2010 is a defining year for offshore wind power globally. Many are watching with bated breath to see how the Department of Interior will handle the future of the industry in the United States. (author)

Colander, Brandi

2010-04-15T23:59:59.000Z

186

Modelling and forecasting wind speed intensity for weather risk management  

Science Conference Proceedings (OSTI)

The main interest of the wind speed modelling is on the short-term forecast of wind speed intensity and direction. Recently, its relationship with electricity production by wind farms has been studied. In fact, electricity producers are interested in ... Keywords: ARFIMA-FIGARCH, Auto Regressive Gamma, Gamma Auto Regressive, Weather risk management, Wind speed modelling, Wind speed simulation

Massimiliano Caporin; Juliusz Pre

2012-11-01T23:59:59.000Z

187

LIDAR wind speed measurements of evolving wind fields  

E-Print Network (OSTI)

Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed Taylors frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylors 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. Simulation results show the combined effects of LIDAR errors and wind evolution for realistic turbine-mounted LIDAR measurement scenarios. Nomenclature a decay parameter for exponential coherence al decrement parameter for transverse coherence (l ? {u, v, w}) bl offset parameter for transverse coherence (l ? {u, v, w}) D longitudinal distance between two points or measurement preview distance F focal distance f frequency (Hz) ? LIDAR measurement angle off of longitudinal direction k wind velocity wavenumber (m?1) ? wavelength (m) R range along LIDAR beam r scan radius for spinning LIDAR scenario ri,j distance between two points in the yz plane U mean wind speed (m/s) ?i,j average mean wind speed between two points in the yz plane ? azimuth angle in the rotor plane ?2 xy(f) Coherence between signals x and y

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

2012-01-01T23:59:59.000Z

188

Basic Integrative Models for Offshore Wind Turbine Systems  

E-Print Network (OSTI)

This research study developed basic dynamic models that can be used to accurately predict the response behavior of a near-shore wind turbine structure with monopile, suction caisson, or gravity-based foundation systems. The marine soil conditions were modeled using apparent fixity level, Randolph elastic continuum, and modified cone models. The offshore wind turbine structures were developed using a finite element formulation. A two-bladed 3.0 megawatt (MW) and a three-bladed 1.5 MW capacity wind turbine were studied using a variety of design load, and soil conditions scenarios. Aerodynamic thrust loads were estimated using the FAST Software developed by the U.S Department of Energys National Renewable Energy Laboratory (NREL). Hydrodynamic loads were estimated using Morisons equation and the more recent Faltinsen Newman Vinje (FNV) theory. This research study addressed two of the important design constraints, specifically, the angle of the support structure at seafloor and the horizontal displacement at the hub elevation during dynamic loading. The simulation results show that the modified cone model is stiffer than the apparent fixity level and Randolph elastic continuum models. The effect of the blade pitch failure on the offshore wind turbine structure decreases with increasing water depth, but increases with increasing hub height of the offshore wind turbine structure.

Aljeeran, Fares

2011-05-01T23:59:59.000Z

189

Landmark Report Analyzes Current State of U.S. Offshore Wind Industry (Fact Sheet)  

DOE Green Energy (OSTI)

New report assesses offshore wind industry, offshore wind resource, technology challenges, economics, permitting procedures, and potential risks and benefits. The National Renewable Energy Laboratory (NREL) recently published a new report that analyzes the current state of the offshore wind energy industry, Large-Scale Offshore Wind Power in the United States. It provides a broad understanding of the offshore wind resource, and details the associated technology challenges, economics, permitting procedures, and potential risks and benefits of developing this clean, domestic, renewable resource. The United States possesses large and accessible offshore wind energy resources. The availability of these strong offshore winds close to major U.S. coastal cities significantly reduces power transmission issues. The report estimates that U.S. offshore winds have a gross potential generating capacity four times greater than the nation's present electric capacity. According to the report, developing the offshore wind resource along U.S. coastlines and in the Great Lakes would help the nation: (1) Achieve 20% of its electricity from wind by 2030 - Offshore wind could supply 54 gigawatts of wind capacity to the nation's electrical grid, increasing energy security, reducing air and water pollution, and stimulating the domestic economy. (2) Provide clean power to its coastal demand centers - Wind power emits no carbon dioxide (CO2) and there are plentiful winds off the coasts of 26 states. (3) Revitalize its manufacturing sector - Building 54 GW of offshore wind energy facilities would generate an estimated $200 billion in new economic activity, and create more than 43,000 permanent, well-paid technical jobs in manufacturing, construction, engineering, operations and maintenance. NREL's report concludes that the development of the nation's offshore wind resources can provide many potential benefits, and with effective research, policies, and commitment, offshore wind energy can play a vital role in future U.S. energy markets.

Not Available

2011-09-01T23:59:59.000Z

190

DOE Releases Comprehensive Report on Offshore Wind Power in the United  

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

DOE Releases Comprehensive Report on Offshore Wind Power in the DOE Releases Comprehensive Report on Offshore Wind Power in the United States DOE Releases Comprehensive Report on Offshore Wind Power in the United States October 7, 2010 - 12:00am Addthis Washington, D.C. - U.S. Energy Secretary Steven Chu announced today the release of a report from the Department of Energy's National Renewable Energy Laboratory (NREL), which comprehensively analyzes the key factors impacting the deployment of offshore wind power in the U.S. The report, "Large-Scale Offshore Wind Power in the United States: Assessment of Opportunities and Barriers," includes a detailed assessment of the Nation's offshore wind resources and offshore wind industry, including future job growth potential. The report also analyzes the technology challenges,

191

DOE Releases Comprehensive Report on Offshore Wind Power in the United  

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

Comprehensive Report on Offshore Wind Power in the Comprehensive Report on Offshore Wind Power in the United States DOE Releases Comprehensive Report on Offshore Wind Power in the United States October 7, 2010 - 12:00am Addthis Washington, D.C. - U.S. Energy Secretary Steven Chu announced today the release of a report from the Department of Energy's National Renewable Energy Laboratory (NREL), which comprehensively analyzes the key factors impacting the deployment of offshore wind power in the U.S. The report, "Large-Scale Offshore Wind Power in the United States: Assessment of Opportunities and Barriers," includes a detailed assessment of the Nation's offshore wind resources and offshore wind industry, including future job growth potential. The report also analyzes the technology challenges, economics, permitting procedures, and the potential risks and benefits of

192

Quantifying hurricane wind speed with undersea sound  

E-Print Network (OSTI)

Hurricanes, powerful storms with wind speeds that can exceed 80 m/s, are one of the most destructive natural disasters known to man. While current satellite technology has made it possible to effectively detect and track ...

Wilson, Joshua David

2006-01-01T23:59:59.000Z

193

The Autocorrelation of Hourly Wind Speed Observations  

Science Conference Proceedings (OSTI)

The autocorrelation of hourly wind speed observations is estimated for seven stations on the west coast of Canada at selected lags ranging from one hour to two months. The estimated autocorrelation function is fitted by a model that includes a ...

Arthur C. Brett; Stanton E. Tuller

1991-06-01T23:59:59.000Z

194

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 operation in terms of the efficiency of the system. The goal of this dissertation is to develop advanced statistical wind speed predictive models to reduce the uncertainties in wind, especially the short-term future wind speed. Moreover, a criterion is proposed to evaluate the performance of models. Cost reduction in power system operation, as proposed, is more realistic than prevalent criteria, such as, root mean square error (RMSE) and absolute mean error (MAE). Two advanced space-time statistical models are introduced for short-term wind speed forecasting. One is a modified regime-switching, space-time wind speed fore- casting model, which allows the forecast regimes to vary according to the dominant wind direction and seasons. Thus, it avoids a subjective choice of regimes. The other one is a novel model that incorporates a new variable, geostrophic wind, which has strong influence on the surface wind, into one of the advanced space-time statistical forecasting models. This model is motivated by the lack of improvement in forecast accuracy when using air pressure and temperature directly. Using geostrophic wind in the model is not only critical, it also has a meaningful geophysical interpretation. The importance of model evaluation is emphasized in the dissertation as well. Rather than using RMSE or MAE, the performance of both wind forecasting models mentioned above are assessed by economic benefits with real wind farm data from Pacific Northwest of the U.S and West Texas. Wind forecasts are incorporated into power system economic dispatch models, and the power system operation cost is used as a loss measure for the performance of the forecasting models. From another perspective, the new criterion leads to cost-effective scheduling of system-wide wind generation with potential economic benefits arising from the system-wide generation of cost savings and ancillary services cost savings. As an illustration, the integrated forecasts and economic dispatch framework are applied to the Electric Reliability Council of Texas (ERCOT) equivalent 24- bus system. Compared with persistence and autoregressive models, the first model suggests that cost savings from integration of wind power could be on the scale of tens of millions of dollars. For the second model, numerical simulations suggest that the overall generation cost can be reduced by up to 6.6% using look-ahead dispatch coupled with spatio-temporal wind forecast as compared with dispatch with persistent wind forecast model.

Zhu, Xinxin

2013-08-01T23:59:59.000Z

195

LIDAR Wind Speed Measurements of Evolving Wind Fields  

DOE Green Energy (OSTI)

Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how 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

196

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

197

Coupled dynamic analysis of floating offshore wind farms  

E-Print Network (OSTI)

During the past decade, the demand for clean renewable energy continues to rise drastically in Europe, the US, and other countries. Wind energy in the ocean can possibly be one of those future renewable clean energy sources as long it is economically feasible and technologically manageable. So far, most of the offshore wind farm research has been limited to fixed platforms in shallow-water areas. In the water depth deeper than 30m, however, floating-type wind farms tend to be more feasible. Then, the overall design and engineering becomes more complicated than fixed platforms including the coupled dynamics of platforms, mooring lines, and blades. In the present study, a numerical time-domain model has been developed for the fully coupled dynamic analysis of an offshore floating wind turbine system including blade-rotor dynamics and platform motions. As a test case, the TLP-type floater system with 3 blades of 70-m diameter designed by the National Renewable Energy Laboratory (NREL) is selected to analyze the dynamic coupling effects among floating system, mooring lines, and wind turbine. The performance of the selected system in a typical wind-wave-current condition has been simulated and analyzed. A similar study for the floater and rotor coupled dynamic analysis was conducted by MIT and NREL. However, in the present case, the dynamic coupling between platform and mooring lines are also considered in addition to the rotor-floater dynamic coupling. It is seen that the rotor-floater coupling effects increase with wind velocity and blade size. The increased coupling effects tend to increase the dynamic tension of TLP tethers. The developed technology and numerical tool are applicable to the new offshore floating wind farms planned in the future.

Shim, Sangyun

2007-12-01T23:59:59.000Z

198

RWT TOOL: OFFSHORE WIND ENERGY MAPPING FROM SAR C. B. Hasager, M. Nielsen, M. B. Christiansen  

E-Print Network (OSTI)

RWT TOOL: OFFSHORE WIND ENERGY MAPPING FROM SAR C. B. Hasager, M. Nielsen, M. B. Christiansen Risø National Laboratory, Wind Energy Department, Roskilde, Denmark Email: charlotte.hasager@risoe.dk, morten by Risoe National Laboratory, Dept. of Wind Energy for assessment of offshore wind resource maps based

199

offshore | OpenEI  

Open Energy Info (EERE)

offshore offshore 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

200

Offshore Code Comparison Collaboration Continuation (OC4), Phase I - Results of Coupled Simulations of an Offshore Wind Turbine with Jacket Support Structure: Preprint  

DOE Green Energy (OSTI)

This paper presents the results of the IEA Wind Task 30, Offshore Code Comparison Collaboration Continuation Project - Phase 1.

Popko, W.; Vorpahl, F.; Zuga, A.; Kohlmeier, M.; Jonkman, J.; Robertson, A.; Larsen, T. J.; Yde, A.; Saetertro, K.; Okstad, K. M.; Nichols, J.; Nygaard, T. A.; Gao, Z.; Manolas, D.; Kim, K.; Yu, Q.; Shi, W.; Park, H.; Vasquez-Rojas, A.

2012-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

Unsafe at Any (Wind) Speed?  

Science Conference Proceedings (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

202

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.

203

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

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

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

204

Assessment of Offshore Wind Energy Resources for the United States  

SciTech Connect

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

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

2010-06-01T23:59:59.000Z

205

Sampling Wind Data for Mean Wind Speed Estimation  

Science Conference Proceedings (OSTI)

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

Mark Jong; Gary Thomann

1981-03-01T23:59:59.000Z

206

The Probability Distribution of Land Surface Wind Speeds  

Science Conference Proceedings (OSTI)

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

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

2011-08-01T23:59:59.000Z

207

DOE to Develop Multi-Megawatt Offshore Wind Turbine with General Electric |  

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

to Develop Multi-Megawatt Offshore Wind Turbine with General to Develop Multi-Megawatt Offshore Wind Turbine with General Electric DOE to Develop Multi-Megawatt Offshore Wind Turbine with General Electric March 9, 2006 - 11:44am Addthis Contract Valued at $27 million, supports President Bush's Advanced Energy Initiative WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) in Golden, Colorado, has signed a $27 million, multi-year contract with the General Electric Company (GE) to develop a new offshore wind power system over the next several years. Approximately $8 million of the offshore wind project will be cost-shared by DOE. "Offshore wind technology, another aspect of President Bush's Advanced Energy Initiative, can reduce our dependence on foreign energy sources as

208

New Report Shows Trend Toward Larger Offshore Wind Systems, with 11  

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

Report Shows Trend Toward Larger Offshore Wind Systems, with 11 Report Shows Trend Toward Larger Offshore Wind Systems, with 11 Advanced Stage Projects Proposed in U.S. Waters New Report Shows Trend Toward Larger Offshore Wind Systems, with 11 Advanced Stage Projects Proposed in U.S. Waters October 23, 2013 - 10:52am Addthis The Energy Department today released a new report showing progress for the U.S. offshore wind energy market in 2012, including the completion of two commercial lease auctions for federal Wind Energy Areas and 11 commercial-scale U.S. projects representing over 3,800 megawatts (MW) of capacity reaching an advanced stage of development. Further, the report highlights global trends toward building offshore turbines in deeper waters and using larger, more efficient turbines in offshore wind farms, increasing the amount of electricity delivered to consumers.

209

Planning maritime logistics concepts for offshore wind farms: a newly developed decision support system  

Science Conference Proceedings (OSTI)

The wind industry is facing new, great challenges due to the planned construction of thousands of offshore wind turbines in the North and Baltic Sea. With increasing distances from the coast and rising sizes of the plants the industry has to face the ... Keywords: assembly, installation, installation vessel, logistics concepts, logistics strategies, maritime supply chain, offshore wind, production, simulation

Kerstin Lange; Andr Rinne; Hans-Dietrich Haasis

2012-09-01T23:59:59.000Z

210

Evolutionary computation approaches for real offshore wind farm layout: A case study in northern Europe  

Science Conference Proceedings (OSTI)

This paper presents the layout optimization of a real offshore wind farm in northern Europe, using evolutionary computation techniques. Different strategies for the wind farm design are tested, such as regular turbines layout or free turbines disposition ... Keywords: Evolutionary computation, Offshore wind farm design, Optimal layouts, Real case study

S. Salcedo-Sanz, D. Gallo-Marazuela, A. Pastor-SNchez, L. Carro-Calvo, A. Portilla-Figueras, L. Prieto

2013-11-01T23:59:59.000Z

211

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

Science Conference Proceedings (OSTI)

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

Si Wu; Youyi Wang; Shijie Cheng

2013-02-01T23:59:59.000Z

212

Landmark Report Analyzes Current State of U.S. Offshore Wind...  

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

report assesses offshore wind technology challenges and potential risks and benefits. The National Renewable Energy Laboratory (NREL) recently published a new report that analyzes...

213

Dynamics Modeling and Loads Analysis of an Offshore Floating Wind Turbine  

SciTech Connect

This report describes the development, verification, and application of a comprehensive simulation tool for modeling coupled dynamic responses of offshore floating wind turbines.

Jonkman, J. M.

2007-12-01T23:59:59.000Z

214

Large-Scale Offshore Wind Power in the United States: Assessment of Opportunities and Barriers  

DOE Green Energy (OSTI)

This paper assesses the potential for U.S. offshore wind to meet the energy needs of many coastal and Great Lakes states.

Musial, W.; Ram, B.

2010-09-01T23:59:59.000Z

215

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

Science Conference Proceedings (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

216

Offshore Wind Technologie GmbH OWT | Open Energy Information  

Open Energy Info (EERE)

Technologie GmbH OWT Technologie GmbH OWT Jump to: navigation, search Name Offshore Wind Technologie GmbH (OWT) Place Leer, Germany Zip 26789 Sector Wind energy Product Germany-based wind project developer. Coordinates 45.197795°, -83.728994° 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":45.197795,"lon":-83.728994,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

217

Wind speed PDF classification using Dirichlet mixtures Rudy CALIF1  

E-Print Network (OSTI)

Wind speed PDF classification using Dirichlet mixtures Rudy CALIF1 , Richard EMILION2 , Ted'Orléans), UMR CNRS 6628 Université d'Orléans, France. Abstract: Wind energy production is very sensitive to instantaneous wind speed fluctuations. Thus rapid variation of wind speed due to changes in the local

Paris-Sud XI, Université de

218

LIDAR Wind Speed Measurements of Evolving Wind Fields  

Science Conference Proceedings (OSTI)

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

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

2012-01-01T23:59:59.000Z

219

Dynamic simulation of dual-speed wind turbine generation  

SciTech Connect

Induction generators have been used since the early development of utility-scale wind turbine generation. An induction generator is the generator of choice because of its ruggedness, and low cost. With an induction generator, the operating speed of the wind turbine is limited to a narrow range (almost constant speed). Dual- speed operation can be accomplished by using an induction generator with two different sets of winding configurations or by using two induction generators with two different rated speeds. With single- speed operation, the wind turbine operates at different power coefficients (Cp) as the wind speed varies. The operation at maximum Cp can occur only at a single wind speed. However, if the wind speed varies across a wider range, the operating Cp will vary significantly. Dual-speed operation has the advantage of enabling the wind turbine to operate at near maximum Cp over a wider range of wind-speeds. Thus, annual energy production can be increased. The dual-speed mode may generate less energy than a variable-speed mode; nevertheless, it offers an alternative to capture more energy than single-speed operation. In this paper, dual-speed operation of a wind turbine will be investigated. One type of control algorithm for dual- speed operation is proposed. Results from a dynamic simulation will be presented to show how the control algorithm works and how power, current and torque of the system vary as the wind turbine is exposed to varying wind speeds.

Muljadi, E.; Butterfield, C.P.

1996-10-01T23:59:59.000Z

220

Comparison of Geophysical Model Functions for SAR Wind Speed Retrieval in Japanese Coastal Waters  

E-Print Network (OSTI)

Abstract: This work discusses the accuracies of geophysical model functions (GMFs) for retrieval of sea surface wind speed from satellite-borne Synthetic Aperture Radar (SAR) images in Japanese coastal waters characterized by short fetches and variable atmospheric stability conditions. In situ observations from two validation sites, Hiratsuka and Shirahama, are used for comparison of the retrieved sea surface wind speeds using CMOD (C-band model)4, CMOD_IFR2, CMOD5 and CMOD5.N. Of all the geophysical model functions (GMFs), the latest C-band GMF, CMOD5.N, has the smallest bias and root mean square error at both sites. All of the GMFs exhibit a negative bias in the retrieved wind speed. In order to understand the reason for this bias, all SAR-retrieved wind speeds are separated into two categories: onshore wind (blowing from sea to land) and offshore wind (blowing from land to sea). Only offshore winds were found to exhibit the large negative bias, and short fetches from the coastline may be a possible reason for this. Moreover, it is clarified that in both the unstable and stable conditions, CMOD5.N has atmospheric stability effectiveness, and can keep the same accuracy with CMOD5 in the neutral condition. In short, at the moment, CMOD5.N is thought to be the most promising GMF

Yuko Takeyama; Teruo Ohsawa; Katsutoshi Kozai; Charlotte Bay Hasager; Merete Badger

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

Global ocean wind power sensitivity to surface layer stability  

E-Print Network (OSTI)

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

Capps, Scott B; Zender, Charles S

2009-01-01T23:59:59.000Z

222

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

Wind Powering America (EERE)

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

223

Extreme Wind Speed Data Sets: Texas Tech/CSU  

Science Conference Proceedings (OSTI)

... B-indicates a beacon tower exposure. ... 93839 Memphis TN 4 3 1968 123 107 WIND SPEEDS GREATER ... [ SED Home | Extreme Winds Home | Data ...

2013-09-27T23:59:59.000Z

224

Secretary Chu Unveils 41 New Offshore Wind Power R&D Projects  

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

The $43 million dollars in offshore wind funding Secretary Chu announced today is part of a coordinated federal strategy to put the nation's wind resources to work and support innovation and jobs...

225

New Modeling Tool Analyzes Floating Platform Concepts for Offshore Wind Turbines (Fact Sheet)  

DOE Green Energy (OSTI)

Researchers at the National Renewable Energy Laboratory (NREL) developed a new complex modeling and analysis tool capable of analyzing floating platform concepts for offshore wind turbines. The new modeling tool combines the computational methodologies used to analyze land-based wind turbines with the comprehensive hydrodynamic computer programs developed for offshore oil and gas industries. This new coupled dynamic simulation tool will enable the development of cost-effective offshore technologies capable of harvesting the rich offshore wind resources at water depths that cannot be reached using the current technology.

Not Available

2011-02-01T23:59:59.000Z

226

NREL: Wind Research - Offshore Design Tools and Methods  

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

Design Tools and Methods Design Tools and Methods Graphic of a modular depiction of the FAST tool, which includes aerodynamics, hydrodynamics, control and electrical system dynamics, and structural dynamics modules. NREL's CAE Tool, FAST, and its Sub-Modules Illustration of wind turbines in various environments including land-based, shallow water (0-30m), transitional depth (30-60m), and deep water floating (greater than 60m). FAST has the capability of modeling a wide range of offshore wind system configurations including shallow water, transitional depth, and floating systems. With DOE's support, NREL has developed and maintains a robust, open-source, modular computer-aided engineering (CAE) tool, known as FAST. It has state-of-the-art capabilities for full dynamic system simulation over a

227

Large-Scale Offshore Wind Power in the United States: Executive Summary  

SciTech Connect

This document provides a summary of a 236-page NREL report that provides a broad understanding of today's offshore wind industry, the offshore wind resource, and the associated technology challenges, economics, permitting procedures, and potential risks and benefits.

Musial, W.; Ram, B.

2010-09-01T23:59:59.000Z

228

OC3 -- Benchmark Exercise of Aero-Elastic Offshore Wind Turbine Codes: Preprint  

DOE Green Energy (OSTI)

This paper introduces the work content and status of the first international investigation and verification of aero-elastic codes for offshore wind turbines as performed by the "Offshore Code Comparison Collaboration" (OC3) within the "IEA Wind Annex XXIII -- Subtask 2".

Passon, P.; Kuhn, M.; Butterfield, S.; Jonkman, J.; Camp, T.; Larsen, T. J.

2007-08-01T23:59:59.000Z

229

Abstract--The offshore wind farm with installed back-to-back power converter in wind turbines is studied. As an  

E-Print Network (OSTI)

is studied. As an example the Burbo Bank offshore wind farm with Siemens Wind Power wind turbines is taken are compared with measurement data from the Burbo Bank offshore wind farm. The delimitations of both power manufacturers such as General Electric (GE) Energy, Siemens Wind Power, Vestas Wind Systems or Gamesa use back

Bak, Claus Leth

230

Sliding mode control law for a variable speed wind turbine  

Science Conference Proceedings (OSTI)

Modern wind turbines are designed in order to work in variable speed operations. To perform this task, wind turbines are provided with adjustable speed generators, like the double feed induction generator. One of the main advantage of adjustable speed ... Keywords: modeling and simulation, variable structure control, wind turbine control

Oscar Barambones; Jose Maria Gonzalez De Durana; Patxi Alkorta; Jose Antonio Ramos; Manuel De La Sen

2011-02-01T23:59:59.000Z

231

Strengthening Americas Energy Security with Offshore Wind (Fact Sheet) (Revised), Wind And Water Power Program (WWPP)  

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

crane mounted on a barge designed for offshore crane mounted on a barge designed for offshore wind turbine installation lifts a rotor into place. Photo courtesy of © DOTI 2009-alpha ventus Offshore wind energy is a clean, domestic, renewable resource that can help the United States meet its critical energy, environmental, and economic challenges. By generating electricity from offshore wind turbines, the nation can reduce its greenhouse gas emissions, diversify its energy supply, provide cost-competitive electricity to key coastal regions, and help revitalize key sectors of its economy, including manufacturing. However, realizing these benefits will require overcoming key barriers to the development and deployment of offshore wind technology, including its relatively high cost of energy, technical challenges surrounding installation and

232

Analyzing the Deployment of Large Amounts of Offshore Wind to Design an Offshore Transmission Grid in the United States: Preprint  

DOE Green Energy (OSTI)

This paper revisits the results from the U.S. Department of Energy's '20% Wind Energy By 2030' study, which envisioned that 54 GW of offshore wind would be installed by said year. The analysis is conducted using the Regional Energy Deployment System (ReEDS), a capacity expansion model developed by the National Renewable Energy Laboratory. The model is used to optimize the deployment of the 54 GW of wind capacity along the coasts and lakes of the United States. The graphical representation of the results through maps will be used to provide a qualitative description for planning and designing an offshore grid. ReEDS takes into account many factors in the process of siting offshore wind capacity, such as the quality of the resource, capital and O&M costs, interconnection costs, or variability metrics (wind capacity value, forecast error, expected curtailment). The effect of these metrics in the deployment of offshore wind will be analyzed through examples in the results.

Ibanez, E.; Mai, T.; Coles, L.

2012-09-01T23:59:59.000Z

233

Analyzing the Deployment of Large Amounts of Offshore Wind to Design an Offshore Transmission Grid in the United States: Preprint  

SciTech Connect

This paper revisits the results from the U.S. Department of Energy's '20% Wind Energy By 2030' study, which envisioned that 54 GW of offshore wind would be installed by said year. The analysis is conducted using the Regional Energy Deployment System (ReEDS), a capacity expansion model developed by the National Renewable Energy Laboratory. The model is used to optimize the deployment of the 54 GW of wind capacity along the coasts and lakes of the United States. The graphical representation of the results through maps will be used to provide a qualitative description for planning and designing an offshore grid. ReEDS takes into account many factors in the process of siting offshore wind capacity, such as the quality of the resource, capital and O&M costs, interconnection costs, or variability metrics (wind capacity value, forecast error, expected curtailment). The effect of these metrics in the deployment of offshore wind will be analyzed through examples in the results.

Ibanez, E.; Mai, T.; Coles, L.

2012-09-01T23:59:59.000Z

234

www.cesos.ntnu.no Author Centre for Ships and Ocean Structures Offshore Wind Turbine Operation  

E-Print Network (OSTI)

1 www.cesos.ntnu.no Author ­ Centre for Ships and Ocean Structures Offshore Wind Turbine Operation Structures Outline · Introduction · Wind Turbine Operational Conditions · Wind Turbine Operation under Atmospheric Icing · Wind Turbine Operation under Fault Condition · Conclusions www.cesos.ntnu.no M. Etemaddar

Nørvåg, Kjetil

235

WIND ENERGY STUDIES OFFSHORE USING SATELLITE REMOTE SENSING MERETE BRUUN CHRISTIANSEN  

E-Print Network (OSTI)

1 WIND ENERGY STUDIES OFFSHORE USING SATELLITE REMOTE SENSING MERETE BRUUN CHRISTIANSEN Wind Energy Dept., Risø National Laboratory Denmark Abstract The wind provides a rich energy source, which can from meteorological masts; thus the technique is promising in terms of future wind energy studies. 1

236

Long Island New York City Offshore Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Island New York City Offshore Wind Farm Island New York City Offshore Wind Farm Jump to: navigation, search Name Long Island New York City Offshore Wind Farm Facility Long Island New York City Offshore Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Long Island-New York City Offshore Wind Collaborative Developer Long Island Power Authority (LIPA) / ConEdison (now part of LINYCOffshore Wind C Energy Purchaser New York Power Authority Location Offshore from the Rockaway Peninsula NY Coordinates 40.41°, -73.72° 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":40.41,"lon":-73.72,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

237

Offshore Wind Energy Permitting: A Survey of U.S. Project Developers  

DOE Green Energy (OSTI)

The U.S. Department of Energy (DOE) has adopted a goal to generate 20% of the nations electricity from wind power by 2030. Achieving this 20% Wind Scenario in 2030 requires acceleration of the current rate of wind project development. Offshore wind resources contribute substantially to the nations wind resource, yet to date no offshore wind turbines have been installed in the U.S. Progress developing offshore wind projects has been slowed by technological challenges, uncertainties about impacts to the marine environment, siting and permitting challenges, and viewshed concerns. To address challenges associated with siting and permitting, Pacific Northwest National Laboratory (PNNL) surveyed offshore wind project developers about siting and project development processes, their experience with the environmental permitting process, and the role of coastal and marine spatial planning (CMSP) in development of the offshore wind industry. Based on the responses to survey questions, we identify several priority recommendations to support offshore wind development. Recommendations also include considerations for developing supporting industries in the U.S. and how to use Coastal and Marine Spatial Planning (CMSP) to appropriately consider ocean energy among existing ocean uses. In this report, we summarize findings, discuss the implications, and suggest actions to improve the permitting and siting process.

Van Cleve, Frances B.; Copping, Andrea E.

2010-11-30T23:59:59.000Z

238

Coupled Dynamic Analysis of Multiple Unit Floating Offshore Wind Turbine  

E-Print Network (OSTI)

In the present study, a numerical simulation tool has been developed for the rotor-floater-tether coupled dynamic analysis of Multiple Unit Floating Offshore Wind Turbine (MUFOWT) in the time domain including aero-blade-tower dynamics and control, mooring dynamics and platform motion. In particular, the numerical tool developed in this study is based on the single turbine analysis tool FAST, which was developed by National Renewable Energy Laboratory (NREL). For linear or nonlinear hydrodynamics of floating platform and generalized-coordinate-based FEM mooring line dynamics, CHARM3D program, hull-riser-mooring coupled dynamics program developed by Prof. M.H. Kims research group during the past two decades, is incorporated. So, the entire dynamic behavior of floating offshore wind turbine can be obtained by coupled FAST-CHARM3D in the time domain. During the coupling procedure, FAST calculates all the dynamics and control of tower and wind turbine including the platform itself, and CHARM3D feeds all the relevant forces on the platform into FAST. Then FAST computes the whole dynamics of wind turbine using the forces from CHARM3D and return the updated displacements and velocities of the platform to CHARM3D. To analyze the dynamics of MUFOWT, the coupled FAST-CHARM3D is expanded more and re-designed. The global matrix that includes one floating platform and a number of turbines is built at each time step of the simulation, and solved to obtain the entire degrees of freedom of the system. The developed MUFOWT analysis tool is able to compute any type of floating platform with various kinds of horizontal axis wind turbines (HAWT). Individual control of each turbine is also available and the different structural properties of tower and blades can be applied. The coupled dynamic analysis for the three-turbine MUFOWT and five-turbine MUFOWT are carried out and the performances of each turbine and floating platform in normal operational condition are assessed. To investigate the coupling effect between platform and each turbine, one turbine failure event is simulated and checked. The analysis shows that some of the mal-function of one turbine in MUFOWT may induce significant changes in the performance of other turbines or floating platform. The present approach can directly be applied to the development of the remote structural health monitoring system of MUFOWT in detecting partial turbine failure by measuring tower or platform responses in the future.

Bae, Yoon Hyeok

2013-05-01T23:59:59.000Z

239

Wind speed modeling and prediction in wind farms using fuzzy logic  

Science Conference Proceedings (OSTI)

In this paper, the upcoming wind speed is forecasted using the stochastic characteristics of wind speed of previous years. The wind speed is estimated in the fuzzy inference system and simulated with the fuzzy logic. The simulation results illustrate ... Keywords: fuzzy, prediction, wind farm

Shahram Javadi; Zeinab Hojjatinia

2012-01-01T23:59:59.000Z

240

Comparison of API & IEC Standards for Offshore Wind Turbine Applications in the U.S. Atlantic Ocean: Phase II; March 9, 2009 - September 9, 2009  

DOE Green Energy (OSTI)

This report compares two design guidelines for offshore wind turbines: Recommended Practice for Planning, Designing, and Constructing Fixed Offshore Platform Structures and the International Electrotechnical Commission 61400-3 Design Requirements for Offshore Wind Turbines.

Jha, A.; Dolan, D.; Gur, T.; Soyoz, S.; Alpdogan, C.

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

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

Science Conference Proceedings (OSTI)

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

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

2011-07-01T23:59:59.000Z

242

The Effect of Wind Speed and Electric Rates On Wind Turbine Economics  

E-Print Network (OSTI)

The Effect of Wind Speed and Electric Rates On Wind Turbine Economics Economics of wind power depends mainly on the wind speeds and the turbine make and model. Definition: Simple Payback The "Simple period of a small wind power project. All the figures are per turbine, so it can be used for a one, two

Massachusetts at Amherst, University of

243

DOE Announces Webinars on Economic Impacts of Offshore Wind, Clean Energy  

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

Economic Impacts of Offshore Wind, Clean Economic Impacts of Offshore Wind, Clean Energy Financing Programs, and More DOE Announces Webinars on Economic Impacts of Offshore Wind, Clean Energy Financing Programs, and More November 7, 2013 - 4:12pm Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies to training for the clean energy workforce. Webinars are free; however, advanced registration is typically required. You can also watch archived webinars and browse previously aired videos, slides, and transcripts. Upcoming Webinars November 20: Live Webinar on Jobs and Economic Development Impacts of Offshore Wind Webinar Sponsor: EERE's Wind and Water Power Technologies Office The Energy Department will present a live webinar titled "Jobs and Economic

244

Maine Project Launches First Grid-Connected Offshore Wind Turbine in the  

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

Maine Project Launches First Grid-Connected Offshore Wind Turbine Maine Project Launches First Grid-Connected Offshore Wind Turbine in the U.S. Maine Project Launches First Grid-Connected Offshore Wind Turbine in the U.S. May 31, 2013 - 11:00am Addthis News Media Contact (202) 586-4940 WASHINGTON - The Energy Department today recognized the nation's first grid-connected offshore floating wind turbine prototype off the coast of Castine, Maine. Led by the University of Maine, this project represents the first concrete-composite floating platform wind turbine to be deployed in the world - strengthening American leadership in innovative clean energy technologies that diversify the nation's energy mix with more clean, domestic energy sources. "Developing America's vast renewable energy resources is an important part of the Energy Department's all-of-the-above strategy to pave the way

245

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

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL), under an interagency agreement with the Bureau of Ocean Energy Management (BOEM), is providing technical assistance to identify and delineate leasing areas for offshore wind energy development within the Atlantic Coast Wind Energy Areas (WEAs) established by BOEM. This report focuses on NREL's evaluation of the delineation proposed by the Maryland Energy Administration (MEA) for the Maryland (MD) WEA and two alternative delineations. The objectives of the NREL evaluation were to assess MEA's proposed delineation of the MD WEA, perform independent analysis, and recommend how the MD WEA should be delineated.

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

2013-06-01T23:59:59.000Z

246

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

SciTech Connect

The National Renewable Energy Laboratory (NREL), under an interagency agreement with the Bureau of Ocean Energy Management (BOEM), is providing technical assistance to identify and delineate leasing areas for offshore wind energy development within the Atlantic Coast Wind Energy Areas (WEAs) established by BOEM. This report focuses on NREL's evaluation of the delineation proposed by the Maryland Energy Administration (MEA) for the Maryland (MD) WEA and two alternative delineations. The objectives of the NREL evaluation were to assess MEA's proposed delineation of the MD WEA, perform independent analysis, and recommend how the MD WEA should be delineated.

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

2013-06-01T23:59:59.000Z

247

Potential Economic Impacts from Offshore Wind in the Gulf of Mexico Region (Fact Sheet)  

SciTech Connect

Offshore wind is a clean, renewable source of energy and can be an economic driver in the United States. To better understand the employment opportunities and other potential regional economic impacts from offshore wind development, the U.S. Department of Energy (DOE) funded research that focuses on four regions of the country. The studies use multiple scenarios with various local job and domestic manufacturing content assumptions. Each regional study uses the new offshore wind Jobs and Economic Development Impacts (JEDI) model, developed by the National Renewable Energy Laboratory. This fact sheet summarizes the potential economic impacts for the Gulf of Mexico region.

Flores, F.; Keyser, D.; Tegen, S.

2014-01-01T23:59:59.000Z

248

LQG Controller for a Variable Speed Pitch Regulated Wind Turbine  

Science Conference Proceedings (OSTI)

This paper deals with the design of LQG controllers for pitch regulated, variable speed wind turbines where the controller is used primarily for controlling the pitch angle through a collective pitch angle in the high wind speed in order to guarantee ... Keywords: LQG controller, Pitch control, Wind Trubine

Xingjia Yao; Shu Liu; Guangkun Shan; Zuoxia Xing; Changchun Guo; Chuanbao Yi

2009-08-01T23:59:59.000Z

249

Coupled Dynamic Analysis of Large-Scale Mono-Column Offshore Wind Turbine with a Single Tether Hinged in Seabed  

E-Print Network (OSTI)

The increased interest in the offshore wind resource in both industry and academic and the extension of the wind field where offshore wind turbine can be deployed has stimulated quite a number of offshore wind turbines concepts. This thesis presents a design of mono-column platform supported for 5 MW baseline wind turbine developed by the National Renewable Energy Laboratory (NREL), with a single tether anchored to the seabed. The design, based on the pioneer concept SWAY, results from parametric optimized design processes which account for important design considerations in the static and dynamic view, such as the stability, natural frequency, performance requirements as well as the economic feasibility. Fully coupled aero-hydro-servo-elastic model is established in the time-domain simulation tool FAST (Fatigue, Aerodynamics, Structures, and Turbulence) with the hydrodynamic coefficients from HydroGen, an indoor program providing same outputs as the commercial software WAMIT. The optimized model is verified by imitating the frequency-domain approach in FAST and thus comparing the results with the frequency-domain calculations. A number of simulations with various wind and wave conditions are run to explore the effect of wind speed and wave significant height in various water depths. By modifying the optimized model to a downwind turbine with the nacelle rigidly mounted on the tower and the single tether connected to the platform by a subsea swivel, the modified models are more closed to the original SWAY-concept wind turbine. These models are compared based on the platform motion, tether tension, displacement, nacelle velocity and acceleration, resonant behavior as well as the damping of the coupled systems. The results of these comparisons prove the advantage of the modified model in performance. The modified model has also clarified itself a good candidate for deep water deployment.

Chen, Jieyan

2012-08-01T23:59:59.000Z

250

MODULAR MULTI-LEVEL CONVERTER BASED HVDC SYSTEM FOR GRID CONNECTION OF OFFSHORE WIND  

E-Print Network (OSTI)

Control and Protection of Wind Power Plants with VSC-HVDC Connection By Sanjay K Chaudhary. VSC-HVDC cable transmission is a favourable option for a large and remote offshore wind power plant of a potential wind power plant with VSC-HVDC connection to the onshore grid. The test system is modelled

Chaudhary, Sanjay

251

Static Analysis on the Detached Column Substructure of Offshore Wind Power Based on Ansys  

Science Conference Proceedings (OSTI)

With the rapid development of wind power technology, offshore wind power has become one of the hottest topics in the worlds energy field. Basic research on wind power attracts more and more attention. This paper uses Ansys software to do static ... Keywords: ansys, etached column, extreme environmental loads, static analysis

Li Fenhua; Guo Weizhao; Liu Yuan; Xing Jian

2010-06-01T23:59:59.000Z

252

World Energy Congress, Sydney, Australia September 5-9, 2004 OFFSHORE WIND POWER: EASING A RENEWABLE  

E-Print Network (OSTI)

19 th World Energy Congress, Sydney, Australia September 5-9, 2004 1 OFFSHORE WIND POWER: EASING to an investment of approximately 40 billion . The global wind energy installed capacity has increased exponentially over a 25-year period and in the process the cost of energy from wind power plants has been

253

Effect of Second-Order Hydrodynamics on Floating Offshore Wind Turbines: Preprint  

DOE Green Energy (OSTI)

Offshore winds are generally stronger and more consistent than winds on land, making the offshore environment attractive for wind energy development. A large part of the offshore wind resource is however located in deep water, where floating turbines are the only economical way of harvesting the energy. The design of offshore floating wind turbines relies on the use of modeling tools that can simulate the entire coupled system behavior. At present, most of these tools include only first-order hydrodynamic theory. However, observations of supposed second-order hydrodynamic responses in wave-tank tests performed by the DeepCwind consortium suggest that second-order effects might be critical. In this paper, the methodology used by the oil and gas industry has been modified to apply to the analysis of floating wind turbines, and is used to assess the effect of second-order hydrodynamics on floating offshore wind turbines. The method relies on combined use of the frequency-domain tool WAMIT and the time-domain tool FAST. The proposed assessment method has been applied to two different floating wind concepts, a spar and a tension-leg-platform (TLP), both supporting the NREL 5-MW baseline wind turbine. Results showing the hydrodynamic forces and motion response for these systems are presented and analysed, and compared to aerodynamic effects.

Roald, L.; Jonkman, J.; Robertson, A,; Chokani, N.

2013-07-01T23:59:59.000Z

254

Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution  

SciTech Connect

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

Zhou, Yuyu; Smith, Steven J.

2013-09-09T23:59:59.000Z

255

EA-1792-S1: University of Maine's Deepwater Offshore Floating Wind Turbine  

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

92-S1: University of Maine's Deepwater Offshore Floating Wind 92-S1: University of Maine's Deepwater Offshore Floating Wind Turbine Testing and Demonstration Project - Castine Harbor Test Site EA-1792-S1: University of Maine's Deepwater Offshore Floating Wind Turbine Testing and Demonstration Project - Castine Harbor Test Site SUMMARY This Supplemental EA in a evaluates the environmental impacts of the University of Maine proposal to use Congressionally directed federal funding, from DOE, to deploy, test and retrieve one 1/8-scale floating wind turbine (20kw) prototype in Castine Harbor, offshore of Castine, Maine. This test would be conducted prior to testing at the site 2 miles from Monhegan Island (evaluated under DOE EA-1792). PUBLIC COMMENT OPPORTUNITIES No public comment opportunities at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD

256

A nonlinear wave load model for extreme and fatigue responses of offshore floating wind turbines  

E-Print Network (OSTI)

Ocean energy is one of the most important sources of alternative energy and offshore floating wind turbines are considered viable and economical means of harnessing ocean energy. The accurate prediction of nonlinear ...

Lee, Sungho, Ph. D. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

257

Offshore-Directed Winds in the Vicinity of Prince William Sound, Alaska  

Science Conference Proceedings (OSTI)

The thermal contrast between cold air over continental Alaska and relatively warm marine air over the Gulf of Alaska causes frequent, low-level, offshore-directed winds over the south-central Alaskan coast during the cold season. Coastal ...

S. Allen Macklin; Gary M. Lackmann; Judith Gray

1988-06-01T23:59:59.000Z

258

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

Science Conference Proceedings (OSTI)

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

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

1997-08-01T23:59:59.000Z

259

Loads Analysis of a Floating Offshore Wind Turbine Using Fully Coupled Simulation: Preprint  

SciTech Connect

This paper presents the use of fully coupled aero-hydro-servo-elastic simulation tools to perform a loads analysis of a 5-MW offshore wind turbine supported by a barge with moorings, one of many promising floating platform concepts.

Jonkman, J. M.; Buhl, M. L., Jr.

2007-06-01T23:59:59.000Z

260

Offshore Code Comparison Collaboration within IEA Wind Annex XXIII: Phase II Results Regarding Monopile Foundation Modeling  

SciTech Connect

This paper presents an overview and describes the latest findings of the code-to-code verification activities of the Offshore Code Comparison Collaboration, which operates under Subtask 2 of the International Energy Agency Wind Annex XXIII.

Jonkman, J.; Butterfield, S.; Passon, P.; Larsen, T.; Camp, T.; Nichols, J.; Azcona, J.; Martinez, A.

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

Challenges in Simulation of Aerodynamics, Hydrodynamics, and Mooring-Line Dynamics of Floating Offshore Wind Turbines  

Science Conference Proceedings (OSTI)

This paper presents the current major modeling challenges for floating offshore wind turbine design tools and describes aerodynamic and hydrodynamic effects due to rotor and platform motions and usage of non-slender support structures.

Matha, D.; Schlipf, M.; Cordle, A.; Pereira, R.; Jonkman, J.

2011-10-01T23:59:59.000Z

262

TRANSMISSION OPTIONS FOR OFFSHORE WIND FARMS IN THE UNITED STATES Sally D. Wright, PE  

E-Print Network (OSTI)

TRANSMISSION OPTIONS FOR OFFSHORE WIND FARMS IN THE UNITED STATES Sally D. Wright, PE Anthony L. Rogers, Ph.D. James F. Manwell, Ph.D. Anthony Ellis, M.S. Renewable Energy Research Lab University

Massachusetts at Amherst, University of

263

2011 Grants for Offshore Wind Power | Department of Energy  

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

Wind Manufacturing Facilities Wind Manufacturing Facilities Testing America's Wind Turbines Testing America's Wind Turbines U.S. Hydropower Potential from Existing Non-powered Dams...

264

Using ADCP Background Sound Levels to Estimate Wind Speed  

Science Conference Proceedings (OSTI)

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

Len Zedel

2001-11-01T23:59:59.000Z

265

Simulated Atmospheric Rime Icing of Some Wind Speed Sensors  

Science Conference Proceedings (OSTI)

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

E. M. Gates; W. C. Thompson

1986-06-01T23:59:59.000Z

266

Sliding mode control strategy for variable speed wind turbine  

Science Conference Proceedings (OSTI)

The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, a robust control for variable speed wind power generation that incorporates a doubly feed induction generator is described. ...

Oscar Barambones; Jose Maria Gonzalez De Durana

2009-09-01T23:59:59.000Z

267

Jobs and Economic Development Impact (JEDI) Model: Offshore Wind User Reference Guide  

DOE Green Energy (OSTI)

The Offshore Wind Jobs and Economic Development Impact (JEDI) model, developed by NREL and MRG & Associates, is a spreadsheet based input-output tool. JEDI is meant to be a user friendly and transparent tool to estimate potential economic impacts supported by the development and operation of offshore wind projects. This guide describes how to use the model as well as technical information such as methodology, limitations, and data sources.

Lantz, E.; Goldberg, M.; Keyser, D.

2013-06-01T23:59:59.000Z

268

Offshore Code Comparison Collaboration within IEA Wind Annex XXIII: Phase III Results Regarding Tripod Support Structure Modeling  

DOE Green Energy (OSTI)

Offshore wind turbines are designed and analyzed using comprehensive simulation codes. This paper describes the findings of code-to-code verification activities of the IEA Offshore Code Comparison Collaboration.

Nichols, J.; Camp, T.; Jonkman, J.; Butterfield, S.; Larsen, T.; Hansen, A.; Azcona, J.; Martinez, A.; Munduate, X.; Vorpahl, F.; Kleinhansl, S.; Kohlmeier, M.; Kossel, T.; Boker, C.; Kaufer, D.

2009-01-01T23:59:59.000Z

269

Assessing Fatigue and Ultimate Load Uncertainty in Floating Offshore Wind Turbines Due to Varying Simulation Length  

DOE Green Energy (OSTI)

With the push towards siting wind turbines farther offshore due to higher wind quality and less visibility, floating offshore wind turbines, which can be located in deep water, are becoming an economically attractive option. The International Electrotechnical Commission's (IEC) 61400-3 design standard covers fixed-bottom offshore wind turbines, but there are a number of new research questions that need to be answered to modify these standards so that they are applicable to floating wind turbines. One issue is the appropriate simulation length needed for floating turbines. This paper will discuss the results from a study assessing the impact of simulation length on the ultimate and fatigue loads of the structure, and will address uncertainties associated with changing the simulation length for the analyzed floating platform. Recommendations of required simulation length based on load uncertainty will be made and compared to current simulation length requirements.

Stewart, G.; Lackner, M.; Haid, L.; Matha, D.; Jonkman, J.; Robertson, A.

2013-07-01T23:59:59.000Z

270

Assessing Fatigue and Ultimate Load Uncertainty in Floating Offshore Wind Turbines Due to Varying Simulation Length  

SciTech Connect

With the push towards siting wind turbines farther offshore due to higher wind quality and less visibility, floating offshore wind turbines, which can be located in deep water, are becoming an economically attractive option. The International Electrotechnical Commission's (IEC) 61400-3 design standard covers fixed-bottom offshore wind turbines, but there are a number of new research questions that need to be answered to modify these standards so that they are applicable to floating wind turbines. One issue is the appropriate simulation length needed for floating turbines. This paper will discuss the results from a study assessing the impact of simulation length on the ultimate and fatigue loads of the structure, and will address uncertainties associated with changing the simulation length for the analyzed floating platform. Recommendations of required simulation length based on load uncertainty will be made and compared to current simulation length requirements.

Stewart, G.; Lackner, M.; Haid, L.; Matha, D.; Jonkman, J.; Robertson, A.

2013-07-01T23:59:59.000Z

271

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

E-Print Network (OSTI)

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

Massachusetts at Amherst, University of

272

Atmospheric Circulation Effects on Wind Speed Variability at Turbine Height  

Science Conference Proceedings (OSTI)

Mean monthly wind speed at 70 m above ground level is investigated for 11 sites in Minnesota for the period 19952003. 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

273

Ocean Wind Speed Climatology from Spaceborne SAR Imagery  

Science Conference Proceedings (OSTI)

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

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

274

Trends and Interannual Variability of Wind Speed Distributions in Minnesota  

Science Conference Proceedings (OSTI)

Near-surface wind speed variability is investigated at seven stations in and surrounding Minnesota for recent climate records of 2235 yr in length. Analyses focus on mean annual wind speeds and on the 10th, 25th, 50th, 75th, and 90th percentiles ...

Katherine Klink

2002-11-01T23:59:59.000Z

275

Estimation of Extreme Wind Speeds with Very Long Return Periods  

Science Conference Proceedings (OSTI)

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

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

1995-09-01T23:59:59.000Z

276

Environmental Risk Evaluation System (ERES) for Offshore Wind - Mock-Up of ERES, Fiscal Year 2010 Progress Report  

DOE Green Energy (OSTI)

The Environmental Risk Evaluation System (ERES) has been created to set priorities among the environmental risks from offshore wind development. This report follows the conceptual design for ERES and shows what the system would look like, using a web interface created as part of a Knowledge Management System (KMS) for offshore wind. The KMS, called Zephyrus, and ERES for offshore wind, will be populated and made operational in a later phase of the project.

Anderson, Richard M.; Copping, Andrea E.; Van Cleve, Frances B.

2010-11-01T23:59:59.000Z

277

Offshore Code Comparison Collaboration, Continuation: Phase II Results of a Floating Semisubmersible Wind System: Preprint  

DOE Green Energy (OSTI)

Offshore wind turbines are designed and analyzed using comprehensive simulation tools that account for the coupled dynamics of the wind inflow, aerodynamics, elasticity, and controls of the turbine, along with the incident waves, sea current, hydrodynamics, and foundation dynamics of the support structure. The Offshore Code Comparison Collaboration (OC3), which operated under the International Energy Agency (IEA) Wind Task 23, was established to verify the accuracy of these simulation tools [1]. This work was then extended under the Offshore Code Comparison Collaboration, Continuation (OC4) project under IEA Wind Task 30 [2]. Both of these projects sought to verify the accuracy of offshore wind turbine dynamics simulation tools (or codes) through code-to-code comparison of simulated responses of various offshore structures. This paper describes the latest findings from Phase II of the OC4 project, which involved the analysis of a 5-MW turbine supported by a floating semisubmersible. Twenty-two different organizations from 11 different countries submitted results using 24 different simulation tools. The variety of organizations contributing to the project brought together expertise from both the offshore structure and wind energy communities. Twenty-one different load cases were examined, encompassing varying levels of model complexity and a variety of metocean conditions. Differences in the results demonstrate the importance and accuracy of the various modeling approaches used. Significant findings include the importance of mooring dynamics to the mooring loads, the role nonlinear hydrodynamic terms play in calculating drift forces for the platform motions, and the difference between global (at the platform level) and local (at the member level) modeling of viscous drag. The results from this project will help guide development and improvement efforts for these tools to ensure that they are providing the accurate information needed to support the design and analysis needs of the offshore wind community.

Robertson, A.; Jonkman, J.; Musial, W.; Vorpahl, F.; Popko, W.

2013-11-01T23:59:59.000Z

278

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

DOE Green Energy (OSTI)

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

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

2013-10-01T23:59:59.000Z

279

Integrating Offshore Wind Power and Multiple Oil and Gas Platforms to the Onshore Power Grid using VSC-HVDC Technology.  

E-Print Network (OSTI)

?? This thesis investigates the possibilities of integrating oil and gas platforms and offshore wind power to the onshore power grid. The main motivation for (more)

Kolstad, Magne Lorentzen

2013-01-01T23:59:59.000Z

280

Design Optimisation Of An Offshore Wind Energy Converter By Means Of Tailored Dynamics  

E-Print Network (OSTI)

Tailoring the dynamics of an offshore wind energy converter can offer an effective design optimisation during the successive stages of the design process. Concerning the particular problem of fatigue due to combined wind and wave loading two simplified approaches are proposed and demonstrated which are well suited for the early design stages when integrated, non-linear time domain simulations are too cumbersome. This enables the use of standard design tools from the wind energy and offshore technology communities by superposition of separate analyses of hydrodynamic fatigue in the frequency domain and aerodynamic fatigue in the time domain.

M. Khn

1999-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

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

SciTech Connect

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

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

2013-04-01T23:59:59.000Z

282

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

DOE Green Energy (OSTI)

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

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

2013-04-01T23:59:59.000Z

283

Innovative Deepwater Platform Aims to Harness Offshore Wind and Wave Power  

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

Deepwater Platform Aims to Harness Offshore Wind and Deepwater Platform Aims to Harness Offshore Wind and Wave Power Innovative Deepwater Platform Aims to Harness Offshore Wind and Wave Power March 28, 2011 - 5:55pm Addthis An employee installs a smart meter as part of a smart grid initiative by EPB. The project is supporting 390 jobs in the Chattanooga area. | Photo courtesy of EPB An employee installs a smart meter as part of a smart grid initiative by EPB. The project is supporting 390 jobs in the Chattanooga area. | Photo courtesy of EPB Mark Higgins Operations Supervisor, Wind & Water Power Technologies Office Principle Power, Inc, of Seattle is using $1.4 million in funding from the Department of Energy's Office of Energy Efficiency and Renewable Energy to develop an innovative technology with the potential to generate electricity

284

Offshore Wind Plant Balance-of-Station Cost Drivers and Sensitivities (Poster)  

DOE Green Energy (OSTI)

With Balance of System (BOS) costs contributing up to 70% of the installed capital cost, it is fundamental to understanding the BOS costs for offshore wind projects as well as potential cost trends for larger offshore turbines. NREL developed a BOS model using project cost estimates developed by GL Garrad Hassan. Aspects of BOS covered include engineering and permitting, ports and staging, transportation and installation, vessels, foundations, and electrical. The data introduce new scaling relationships for each BOS component to estimate cost as a function of turbine parameters and size, project parameters and size, and soil type. Based on the new BOS model, an analysis to understand the non-turbine costs associated with offshore turbine sizes ranging from 3 MW to 6 MW and offshore wind plant sizes ranging from 100 MW to 1000 MW has been conducted. This analysis establishes a more robust baseline cost estimate, identifies the largest cost components of offshore wind project BOS, and explores the sensitivity of the levelized cost of energy to permutations in each BOS cost element. This presentation shows results from the model that illustrates the potential impact of turbine size and project size on the cost of energy from US offshore wind plants.

Saur, G.; Maples, B.; Meadows, B.; Hand, M.; Musial, W.; Elkington, C.; Clayton, J.

2012-09-01T23:59:59.000Z

285

Long-Term Wind Speed Trends over Australia  

Science Conference Proceedings (OSTI)

Accurate estimates of long-term linear trends of wind speed provide a useful indicator for circulation changes in the atmosphere and are invaluable for the planning and financing of sectors such as wind energy. Here a large number of wind ...

Alberto Troccoli; Karl Muller; Peter Coppin; Robert Davy; Chris Russell; Annette L. Hirsch

2012-01-01T23:59:59.000Z

286

Comparison of Wake Model Simulations with Offshore Wind Turbine Wake Profiles Measured by Sodar  

Science Conference Proceedings (OSTI)

This paper gives an evaluation of most of the commonly used models for predicting wind speed decrease (wake) downstream of a wind turbine. The evaluation is based on six experiments where free-stream and wake wind speed profiles were measured ...

R. J. Barthelmie; G. C. Larsen; S. T. Frandsen; L. Folkerts; K. Rados; S. C. Pryor; B. Lange; G. Schepers

2006-07-01T23:59:59.000Z

287

Offshore Code Comparison Collaboration within IEA Wind Task 23: Phase IV Results Regarding Floating Wind Turbine Modeling; Preprint  

SciTech Connect

Offshore wind turbines are designed and analyzed using comprehensive simulation codes that account for the coupled dynamics of the wind inflow, aerodynamics, elasticity, and controls of the turbine, along with the incident waves, sea current, hydrodynamics, and foundation dynamics of the support structure. This paper describes the latest findings of the code-to-code verification activities of the Offshore Code Comparison Collaboration, which operates under Subtask 2 of the International Energy Agency Wind Task 23. In the latest phase of the project, participants used an assortment of codes to model the coupled dynamic response of a 5-MW wind turbine installed on a floating spar buoy in 320 m of water. Code predictions were compared from load-case simulations selected to test different model features. The comparisons have resulted in a greater understanding of offshore floating wind turbine dynamics and modeling techniques, and better knowledge of the validity of various approximations. The lessons learned from this exercise have improved the participants' codes, thus improving the standard of offshore wind turbine modeling.

Jonkman, J.; Larsen, T.; Hansen, A.; Nygaard, T.; Maus, K.; Karimirad, M.; Gao, Z.; Moan, T.; Fylling, I.

2010-04-01T23:59:59.000Z

288

Offshore Code Comparison Collaboration within IEA Wind Task 23: Phase IV Results Regarding Floating Wind Turbine Modeling; Preprint  

DOE Green Energy (OSTI)

Offshore wind turbines are designed and analyzed using comprehensive simulation codes that account for the coupled dynamics of the wind inflow, aerodynamics, elasticity, and controls of the turbine, along with the incident waves, sea current, hydrodynamics, and foundation dynamics of the support structure. This paper describes the latest findings of the code-to-code verification activities of the Offshore Code Comparison Collaboration, which operates under Subtask 2 of the International Energy Agency Wind Task 23. In the latest phase of the project, participants used an assortment of codes to model the coupled dynamic response of a 5-MW wind turbine installed on a floating spar buoy in 320 m of water. Code predictions were compared from load-case simulations selected to test different model features. The comparisons have resulted in a greater understanding of offshore floating wind turbine dynamics and modeling techniques, and better knowledge of the validity of various approximations. The lessons learned from this exercise have improved the participants' codes, thus improving the standard of offshore wind turbine modeling.

Jonkman, J.; Larsen, T.; Hansen, A.; Nygaard, T.; Maus, K.; Karimirad, M.; Gao, Z.; Moan, T.; Fylling, I.

2010-04-01T23:59:59.000Z

289

Optimal evolutionary wind turbine placement in wind farms considering new models of shape, orography and wind speed simulation  

Science Conference Proceedings (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, simulation of the wind speed and direction, ...

B. Saavedra-Moreno; S. Salcedo-Sanz; A. Paniagua-Tineo; J. Gascn-Moreno; J. A. Portilla-Figueras

2011-06-01T23:59:59.000Z

290

Scatterometer Observations at High Wind Speeds  

Science Conference Proceedings (OSTI)

Satellite scatterometer winds are commonly validated by comparing them to buoy observations and/or numerical model surface wind analyses. However, the empirical scatterometer algorithm (geophysical model function) has been calibrated against a ...

Lixin Zeng; Robert A. Brown

1998-11-01T23:59:59.000Z

291

Sensitivity Analysis of Offshore Wind Cost of Energy (Poster), NREL (National Renewable Energy Laboratory)  

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

Plant Sensitivity Analysis Plant Sensitivity Analysis Abstract NREL Wind Energy Systems Engineering Tool Sensitivity Analysis and Results Sensitivity Analysis of Offshore Wind Cost of Energy Sensitivity Analysis of Offshore Wind Cost of Energy K. Dykes, A. Ning, P. Graf, G. Scott, R. Damiani, M. Hand, R. Meadows, W. Musial, P. Moriarty, P. Veers * National Renewable Energy Laboratory * Golden, Colorado K. Dykes, A. Ning, P. Graf, G. Scott, R. Damiani, M. Hand, R. Meadows, W. Musial, P. Moriarty, P. Veers * National Renewable Energy Laboratory * Golden, Colorado Introduction OFFSHORE WINDPOWER 2012, Virginia Beach, October 911, 2012 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. NREL/PO-5000-56411

292

Potential Economic Impacts from Offshore Wind in the Southeast Region (Fact Sheet)  

SciTech Connect

Offshore wind is a clean, renewable source of energy and can be an economic driver in the United States. To better understand the employment opportunities and other potential regional economic impacts from offshore wind development, the U.S. Department of Energy (DOE) funded research that focuses on four regions of the country. The studies use multiple scenarios with various local job and domestic manufacturing content assumptions. Each regional study uses the new offshore wind Jobs and Economic Development Impacts (JEDI) model, developed by the National Renewable Energy Laboratory. This fact sheet summarizes the potential economic impacts identified by the study for the Southeast (defined here as Georgia, South Carolina, North Carolina, and Virginia).

2013-07-01T23:59:59.000Z

293

A Short-Term Ensemble Wind Speed Forecasting System for Wind Power Applications  

Science Conference Proceedings (OSTI)

This study develops an adaptive, blended forecasting system to provide accurate wind speed forecasts 1 h ahead of time for wind power applications. The system consists of an ensemble of 21 forecasts with different configurations of the Weather ...

Justin J. Traiteur; David J. Callicutt; Maxwell Smith; Somnath Baidya Roy

2012-10-01T23:59:59.000Z

294

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

Science Conference Proceedings (OSTI)

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

Wei Qiao

2009-06-01T23:59:59.000Z

295

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

Science Conference Proceedings (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

296

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

Science Conference Proceedings (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

297

Grid Simulator for Testing a Wind Turbine on Offshore Floating Platform  

DOE Green Energy (OSTI)

An important aspect of such offshore testing of a wind turbine floating platform is electrical loading of the wind turbine generator. An option of interconnecting the floating wind turbine with the onshore grid via submarine power cable is limited by many factors such as costs and associated environmental aspects (i.e., an expensive and lengthy sea floor study is needed for cable routing, burial, etc). It appears to be a more cost effective solution to implement a standalone grid simulator on a floating platform itself for electrical loading of the test wind turbine. Such a grid simulator must create a stable fault-resilient voltage and frequency bus (a micro grid) for continuous operation of the test wind turbine. In this report, several electrical topologies for an offshore grid simulator were analyzed and modeled.

Gevorgian, V.

2012-02-01T23:59:59.000Z

298

Development of Fully Coupled Aeroelastic and Hydrodynamic Models for Offshore Wind Turbines: Preprint  

SciTech Connect

Aeroelastic simulation tools are routinely used to design and analyze onshore wind turbines, in order to obtain cost effective machines that achieve favorable performance while maintaining structural integrity. These tools employ sophisticated models of wind-inflow; aerodynamic, gravitational, and inertial loading of the rotor, nacelle, and tower; elastic effects within and between components; and mechanical actuation and electrical responses of the generator and of control and protection systems. For offshore wind turbines, additional models of the hydrodynamic loading in regular and irregular seas, the dynamic coupling between the support platform motions and wind turbine motions, and the dynamic characterization of mooring systems for compliant floating platforms are also important. Hydrodynamic loading includes contributions from hydrostatics, wave radiation, and wave scattering, including free surface memory effects. The integration of all of these models into comprehensive simulation tools, capable of modeling the fully coupled aeroelastic and hydrodynamic responses of floating offshore wind turbines, is presented.

Jonkman, J. M.; Sclavounos, P. D.

2006-01-01T23:59:59.000Z

299

Installation, Operation, and Maintenance Strategies to Reduce the Cost of Offshore Wind Energy  

DOE Green Energy (OSTI)

Currently, installation, operation, and maintenance (IO&M) costs contribute approximately 30% to the LCOE of offshore wind plants. To reduce LCOE while ensuring safety, this paper identifies principal cost drivers associated with IO&M and quantifies their impacts on LCOE. The paper identifies technology improvement opportunities and provides a basis for evaluating innovative engineering and scientific concepts developed subsequently to the study. Through the completion of a case study, an optimum IO&M strategy for a hypothetical offshore wind project is identified.

Maples, B.; Saur, G.; Hand, M.; van de Pieterman, R.; Obdam, T.

2013-07-01T23:59:59.000Z

300

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

Science Conference Proceedings (OSTI)

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

Ruigang Wang; Wenyi Li; B. Bagen

2011-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

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

E-Print Network (OSTI)

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

302

Review of Weibull Statistics for Estimation of Wind Speed Distributions  

Science Conference Proceedings (OSTI)

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

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

1984-08-01T23:59:59.000Z

303

Weibull Statistics of Wind Speed over the Ocean  

Science Conference Proceedings (OSTI)

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

Edgar G. Pavia; James J. O'Brien

1986-10-01T23:59:59.000Z

304

Global Estimates of Extreme Wind Speed and Wave Height  

Science Conference Proceedings (OSTI)

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

J. Vinoth; I. R. Young

2011-03-01T23:59:59.000Z

305

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)

306

Wind Energy Technologies  

Science Conference Proceedings (OSTI)

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

2012-08-31T23:59:59.000Z

307

The amount of power in the wind is very dependent on the speed of the wind. Because the power in the wind  

E-Print Network (OSTI)

The amount of power in the wind is very dependent on the speed of the wind. Because the power in the wind is proportional to the cube of the wind speed, small differences in the wind speed make a big. This gives rise to the primary reason for wind re- source assessment. In order to more accurately predict

Massachusetts at Amherst, University of

308

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

DOE Green Energy (OSTI)

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

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

1976-08-01T23:59:59.000Z

309

System and method for upwind speed based control of a wind turbine ...  

A method for controlling power output of a wind turbine generator in response to an anticipated change in wind speed is provided. The method includes sensing wind ...

310

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)

311

The Influence of Wind Speed on Shallow Marine Cumulus Convection  

Science Conference Proceedings (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

312

Correlation of Real and Model Wind Speeds in Different Terrains  

Science Conference Proceedings (OSTI)

Wind speeds over a 6-month period from 21 surface stations, 3 upper-wind stations, and 2 different models are compared. Similar data are used for three different topographic regions of New Zealand broadly classed as having low, moderate, and high ...

Steve J. Reid; Richard Turner

2001-10-01T23:59:59.000Z

313

Short term wind speed forecasting with evolved neural networks  

Science Conference Proceedings (OSTI)

Concerns about climate change, energy security and the volatility of the price of fossil fuels has led to an increased demand for renewable energy. With wind turbines being one of the most mature renewable energy technologies available, the global use ... Keywords: forecasting, renewable energy, wind-speed

David Corne; Alan Reynolds; Stuart Galloway; Edward Owens; Andrew Peacock

2013-07-01T23:59:59.000Z

314

Extended tension leg platform design for offshore wind turbine systems  

E-Print Network (OSTI)

The rise of reliable wind energy application has become a primary alternative to conventional fossil fuel power plants in the United States and around the world. The feasibility of building large scale wind farms has become ...

Parker, Nicholas W. (Nicholas William)

2007-01-01T23:59:59.000Z

315

Comparison of Synthetic Aperture RadarDerived Wind Speeds with Buoy Wind Speeds along the Mountainous Alaskan Coast  

Science Conference Proceedings (OSTI)

Satellite-borne synthetic aperture radar (SAR) offers the potential for remotely sensing surface wind speed both over the open sea and in close proximity to the coast. The resolution improvement of SAR over scatterometers is of particular ...

C. M. Fisher; G. S. Young; N. S. Winstead; J. D. Haqq-Misra

2008-05-01T23:59:59.000Z

316

Variable speed operation of generators with rotor-speed feedback in wind power applications  

SciTech Connect

The use of induction generators in wind power applications has been common since the early development of the wind industry. Most of these generators operate at fixed frequency and are connected directly to the utility grid. Unfortunately, this mode of operation limits the rotor speed to a specific rpm. Variable-speed operation is preferred in order to facilitate maximum energy capture over a wide range of wind speeds. This paper explores variable-speed operating strategies for wind turbine applications. The objectives are to maximize energy production, provide controlled start-up and reduce torque loading. This paper focuses on optimizing the energy captured by operating at maximum aerodynamic efficiency at any wind speed. The control strategy we analyze uses rotor speed and generator power as the feedback signals. In the normal operating region, rotor speed is used to compute a target power that corresponds to optimum operation. With power as the control objective, the power converter and generator are controlled to track the target power at any rpm. Thus, the torque-speed characteristic of the generator is shaped to optimize the energy capture. The target power is continuously updated at any rpm. in extreme areas of the operating envelope, during start-up, shutdown, generator overload, or overspeed, different strategies driven by other system considerations must be used.

Muljadi, E.; Butterfield, C.P.; Migliore, P.

1995-11-01T23:59:59.000Z

317

Simulation-Length Requirements in the Loads Analysis of Offshore Floating Wind Turbines: Preprint  

DOE Green Energy (OSTI)

The goal of this paper is to examine the appropriate length of a floating offshore wind turbine (FOWT) simulation - a fundamental question that needs to be answered to develop design requirements. To examine this issue, a loads analysis of an example FOWT was performed in FAST with varying simulation lengths. The offshore wind system used was the OC3-Hywind spar buoy, which was developed for use in the International Energy Agency Code Comparison Collaborative Project and supports NREL's offshore 5-megawatt baseline turbine. Realistic metocean data from the National Oceanic and Atmospheric Administration and repeated periodic wind files were used to excite the structure. The results of the analysis clearly show that loads do not increase for longer simulations. In regards to fatigue, a sensitivity analysis shows that the procedure used for counting half cycles is more important than the simulation length itself. Based on these results, neither the simulation length nor the periodic wind files affect response statistics and loads for FOWTs (at least for the spar studied here); a result in contrast to the offshore oil and gas industry, where running simulations of at least 3 hours in length is common practice.

Haid, L.; Stewart, G.; Jonkman, J.; Robertson, A.; Lackner, M.; Matha, D.

2013-06-01T23:59:59.000Z

318

Simulation-Length Requirements in the Loads Analysis of Offshore Floating Wind Turbines: Preprint  

SciTech Connect

The goal of this paper is to examine the appropriate length of a floating offshore wind turbine (FOWT) simulation - a fundamental question that needs to be answered to develop design requirements. To examine this issue, a loads analysis of an example FOWT was performed in FAST with varying simulation lengths. The offshore wind system used was the OC3-Hywind spar buoy, which was developed for use in the International Energy Agency Code Comparison Collaborative Project and supports NREL's offshore 5-megawatt baseline turbine. Realistic metocean data from the National Oceanic and Atmospheric Administration and repeated periodic wind files were used to excite the structure. The results of the analysis clearly show that loads do not increase for longer simulations. In regards to fatigue, a sensitivity analysis shows that the procedure used for counting half cycles is more important than the simulation length itself. Based on these results, neither the simulation length nor the periodic wind files affect response statistics and loads for FOWTs (at least for the spar studied here); a result in contrast to the offshore oil and gas industry, where running simulations of at least 3 hours in length is common practice.

Haid, L.; Stewart, G.; Jonkman, J.; Robertson, A.; Lackner, M.; Matha, D.

2013-06-01T23:59:59.000Z

319

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

320

Short-term wind speed forecasting based on a hybrid model  

Science Conference Proceedings (OSTI)

Wind power is currently one of the types of renewable energy with a large generation capacity. However, operation of wind power generation is very challenging because of the intermittent and stochastic nature of the wind speed. Wind speed forecasting ... Keywords: Forecasting, RBF neural networks, Seasonal adjustment, Wavelet transform, Wind speed

Wenyu Zhang, Jujie Wang, Jianzhou Wang, Zengbao Zhao, Meng Tian

2013-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

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.

322

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)

323

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

Science Conference Proceedings (OSTI)

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

Hiromi Yamazawa; Junsei Kondo

1989-09-01T23:59:59.000Z

324

Empirical Models of the Probability Distribution of Sea Surface Wind Speeds  

Science Conference Proceedings (OSTI)

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

Adam Hugh Monahan

2007-12-01T23:59:59.000Z

325

Variable-Speed Wind System Design : Final Report.  

SciTech Connect

Almost from the onset of the development of wind energy conversion systems (WECS), it was known that variable-speed operation of the turbine would maximize energy capture. This study was commissioned to assess the cost, efficiency gain, reduction of the cost of energy (COE), and other operating implications of converting the existing hardware of a modern fixed-speed wind energy conversion system to variable-speed operation. The purpose of this study was to develop a preliminary design for the hardware required to allow variable-speed operation using a doubly-fed generator with an existing fixed-speed wind turbine design. The turbine selected for this study is the AWT-26 designed and built by Advanced Wind Turbines Inc. of Redmond, Washington. The lowest projected COE using this variable-speed generation system is projected to be $0.0499/kWh, compared to the lowest possible COE with fixed-speed generation which is projected to be $0.0546/kWh. This translates into a 8.6% reduction of the COE using this variable-speed generation option. The preliminary system design has advanced to where the printed circuit boards can be physically laid out based on the schematics and the system software can be written based on the control flow-charts. The core of hardware and software has been proven to be successful in earlier versions of VSG systems. The body of this report presents the results of the VSWG system development. Operation under normal and fault conditions is described in detail, the system performance for variable-speed operation is estimated and compared to the original fixed-speed system performance, and specifications for all system components (generator, power electronic converter, and system controller) are given. Costs for all components are estimated, and incremental system cost is compared to incremental energy production. Finally, operational features of the VSWG which are not available in the existing FSWG system are outlined.

Lauw, Hinan K.; Weigand, Claus H.; Marckx, Dallas A.; Electronic Power Conditioning, Inc.

1993-10-01T23:59:59.000Z

326

1. Wind-splash erosion 4. Relationships between rainfall intensity, wind-speed, wind direction and erosion  

E-Print Network (OSTI)

1. Wind-splash erosion 4. Relationships between rainfall intensity, wind-speed, wind direction and erosion 5. Longer term influence of wind-direction on landscape evolution 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1 of tubes at approximately two week intervals. Contour plots of rainfall intensity (mm/hr) against wind

327

Jobs and Economic Development Impacts of Offshore Wind Webinar Text Version  

Wind Powering America (EERE)

Impacts of Offshore Wind Impacts of Offshore Wind November 20, 2013 Coordinator: Thank you all for standing by. All lines have been placed on a listen-only mode throughout the duration of today's conference. Today's conference is being recorded. If you do have any objections, you may disconnect at this time. I would now like to turn the call over to Ian Baring-Gould. Thank you. You may begin. Ian Baring-Gould: Hi, this is Ian Baring-Gould from the National Renewable Energy Laboratory. I want to thank you all for joining us for our call - or on our webinar today. This is our standard monthly series of webinars for the stakeholder engagement and outreach activities of the wind program under the Department of Energy. And pleased today that we get to have a series of presentations on a

328

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

DOE Green Energy (OSTI)

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

Corotis, R.B.

1982-06-01T23:59:59.000Z

329

Variable Frequency Operations of an Offshore Wind Power Plant with HVDC-VSC: Preprint  

DOE Green Energy (OSTI)

In this paper, a constant Volt/Hz operation applied to the Type 1 wind turbine generator. Various control aspects of Type 1 generators at the plant level and at the turbine level will be investigated. Based on DOE study, wind power generation may reach 330 GW by 2030 at the level of penetration of 20% of the total energy production. From this amount of wind power, 54 GW of wind power will be generated at offshore wind power plants. The deployment of offshore wind power plants requires power transmission from the plant to the load center inland. Since this power transmission requires submarine cable, there is a need to use High-Voltage Direct Current (HVDC) transmission. Otherwise, if the power is transmitted via alternating current, the reactive power generated by the cable capacitance may cause an excessive over voltage in the middle of the transmission distance which requires unnecessary oversized cable voltage breakdown capability. The use of HVDC is usually required for transmission distance longer than 50 kilometers of submarine cables to be economical. The use of HVDC brings another advantage; it is capable of operating at variable frequency. The inland substation will be operated to 60 Hz synched with the grid, the offshore substation can be operated at variable frequency, thus allowing the wind power plant to be operated at constant Volt/Hz. In this paper, a constant Volt/Hz operation applied to the Type 1 wind turbine generator. Various control aspects of Type 1 generators at the plant level and at the turbine level will be investigated.

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

2011-12-01T23:59:59.000Z

330

Capital Energy Offshore | Open Energy Information  

Open Energy Info (EERE)

Offshore Jump to: navigation, search Name Capital Energy Offshore Place Spain Sector Wind energy Product JV between Gamesa and Capital Energy to develop offshore wind farms...

331

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

of wind turbine. Rating Control Rotor Radius Rated Windturbines is a major design consideration due to cyclic loading induced by the rotating rotors [the turbine. The base was assumed to be fixed and the rotor

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

332

Potential Economic Impacts from Offshore Wind in the Southeast...  

Wind Powering America (EERE)

Induced Impacts 170 2,760 Total Impacts during Operation 410 6,700 The U.S. DOE Wind & Water Power Technologies Office funded James Madison University and the National Renewable...

333

OFF-SHORE WIND AND GRID-CONNECTED PV: HIGH PENETRATION PEAK SHAVING FOR NEW YORK CITY  

E-Print Network (OSTI)

one year's worth of hourly site & time-specific data including electrical demand PV and off-shore wind is based upon the analysis of one year worth of hourly data ­ 2010 -- including New York City's electrical demand, distributed PV generation, and off- shore wind generation. PV and wind generation data

Perez, Richard R.

334

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

DOE Green Energy (OSTI)

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

Robert W. Preus; DOE Project Officer - Keith Bennett

2008-04-23T23:59:59.000Z

335

Final Report DE-EE0005380: Assessment of Offshore Wind Farm Effects on Sea Surface, Subsurface and Airborne Electronic Systems  

SciTech Connect

Offshore wind energy is a valuable resource that can provide a significant boost to the US renewable energy portfolio. A current constraint to the development of offshore wind farms is the potential for interference to be caused by large wind farms on existing electronic and acoustical equipment such as radar and sonar systems for surveillance, navigation and communications. The US Department of Energy funded this study as an objective assessment of possible interference to various types of equipment operating in the marine environment where offshore wind farms could be installed. The objective of this project was to conduct a baseline evaluation of electromagnetic and acoustical challenges to sea surface, subsurface and airborne electronic systems presented by offshore wind farms. To accomplish this goal, the following tasks were carried out: (1) survey electronic systems that can potentially be impacted by large offshore wind farms, and identify impact assessment studies and research and development activities both within and outside the US, (2) engage key stakeholders to identify their possible concerns and operating requirements, (3) conduct first-principle modeling on the interactions of electromagnetic signals with, and the radiation of underwater acoustic signals from, offshore wind farms to evaluate the effect of such interactions on electronic systems, and (4) provide impact assessments, recommend mitigation methods, prioritize future research directions, and disseminate project findings. This report provides a detailed description of the methodologies used to carry out the study, key findings of the study, and a list of recommendations derived based the findings.

Ling, Hao [The University of Texas at Austin] [The University of Texas at Austin; Hamilton, Mark F. [The University of Texas at Austin Applied Research Laboratories] [The University of Texas at Austin Applied Research Laboratories; Bhalla, Rajan [Science Applications International Corporation] [Science Applications International Corporation; Brown, Walter E. [The University of Texas at Austin Applied Research Laboratories] [The University of Texas at Austin Applied Research Laboratories; Hay, Todd A. [The University of Texas at Austin Applied Research Laboratories] [The University of Texas at Austin Applied Research Laboratories; Whitelonis, Nicholas J. [The University of Texas at Austin] [The University of Texas at Austin; Yang, Shang-Te [The University of Texas at Austin] [The University of Texas at Austin; Naqvi, Aale R. [The University of Texas at Austin] [The University of Texas at Austin

2013-09-30T23:59:59.000Z

336

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

Science Conference Proceedings (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

337

Final Summary Report: Em-Powering Coastal States and Utilities through Model Offshore Wind Legislation and Outreach  

DOE Green Energy (OSTI)

The final summary report summarizes the most significant findings from three project reports detailing: feed-in tariffs, model request for proposals for new generation, and model state offshore wind power legislation.

Jeremy Firestone; Dawn Kurtz Crompton

2011-11-30T23:59:59.000Z

338

COMPARISON OF WIND CONDITIONS OF OFFSHORE WIND FARM SITES IN THE BALTIC AND NORTH SEA  

E-Print Network (OSTI)

worden tot 44%. #12;Windenergie Nederland heeft als ambitie in 2020 tussen de 15 en 20% van de grote Nederlandse offshore industrie. Wat doet de TU Delft? Ontwerpen van windturbines Windturbines rotoren ontworpen. Betrouwbaarheid, intelligent onderhoud van windturbines Offshore windtechnologie en

Heinemann, Detlev

339

An Optical Disdrometer for Use in High Wind Speeds  

Science Conference Proceedings (OSTI)

A new optical disdrometer has been developed that is optimized for use in high wind speeds, for example, on board ships. The minimal detectable size of droplets is 0.35 mm. Each drop is measured separately with regard to its size and residence ...

Martin Grossklaus; Klaus Uhlig; Lutz Hasse

1998-08-01T23:59:59.000Z

340

A Mechanism for the Increase of Wind Stress (Drag) Coefficient with Wind Speed over Water Surfaces: A Parametric Model  

Science Conference Proceedings (OSTI)

A mechanism is proposed for a physical explanation of the increase in wind stress (drag) coefficient with wind speed over water surfaces. The formula explicitly incorporates the contribution of both winds and waves through the parameterizations ...

S. A. Hsu

1986-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

EFFECT OF PITCH CONTROL AND POWER CONDITIONING ON POWER QUALITY OF VARIABLE SPEED WIND TURBINE GENERATORS  

E-Print Network (OSTI)

Wind energy is considered as the most viable renewable energy options. In a renewable energy system more energy from the wind. One of the options is to use the variable speed wind turbine-speed wind turbine system for transient studies are discussed in this paper. The performance of wind energy

342

Structural health and prognostics management for offshore wind turbines : an initial roadmap.  

Science Conference Proceedings (OSTI)

Operations and maintenance costs for offshore wind plants are expected to be significantly higher than the current costs for onshore plants. One way in which these costs may be able to be reduced is through the use of a structural health and prognostic management system as part of a condition based maintenance paradigm with smart load management. To facilitate the creation of such a system a multiscale modeling approach has been developed to identify how the underlying physics of the system are affected by the presence of damage and how these changes manifest themselves in the operational response of a full turbine. The developed methodology was used to investigate the effects of a candidate blade damage feature, a trailing edge disbond, on a 5-MW offshore wind turbine and the measurements that demonstrated the highest sensitivity to the damage were the local pitching moments around the disbond. The multiscale method demonstrated that these changes were caused by a local decrease in the blade's torsional stiffness due to the disbond, which also resulted in changes in the blade's local strain field. Full turbine simulations were also used to demonstrate that derating the turbine power by as little as 5% could extend the fatigue life of a blade by as much as a factor of 3. The integration of the health monitoring information, conceptual repair cost versus damage size information, and this load management methodology provides an initial roadmap for reducing operations and maintenance costs for offshore wind farms while increasing turbine availability and overall profit.

Griffith, Daniel Todd; Resor, Brian Ray; White, Jonathan Randall; Paquette, Joshua A.; Yoder, Nathanael C. [ATA Engineering, San Diego, CA

2012-12-01T23:59:59.000Z

343

Engineering and Economic Evaluation of Offshore Wind Technology  

Science Conference Proceedings (OSTI)

In 2006, the Electric Power Research Institute (EPRI) initiated a new project to conduct engineering and economic evaluations of renewable energy technologies, including wind, biomass, solar, geothermal, hydro, ocean tidal and wave, and others (Program 84). The goal of the evaluations is to develop an objective and consistent assessment of the current and projected future performance of the technologies with regard to thermal efficiency, capital and operations and maintenance costs, resource requirements...

2011-12-23T23:59:59.000Z

344

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

E-Print Network (OSTI)

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

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

2011-01-01T23:59:59.000Z

345

EERE: Wind Program Home Page  

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

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

346

Calibration and Validation of a Spar-Type Floating Offshore Wind Turbine Model using the FAST Dynamic Simulation Tool: Preprint  

DOE Green Energy (OSTI)

In 2007, the FAST wind turbine simulation tool, developed and maintained by the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL), was expanded to include capabilities that are suitable for modeling floating offshore wind turbines. In an effort to validate FAST and other offshore wind energy modeling tools, DOE funded the DeepCwind project that tested three prototype floating wind turbines at 1/50th scale in a wave basin, including a semisubmersible, a tension-leg platform, and a spar buoy. This paper describes the use of the results of the spar wave basin tests to calibrate and validate the FAST offshore floating simulation tool, and presents some initial results of simulated dynamic responses of the spar to several combinations of wind and sea states.

Browning, J. R.; Jonkman, J.; Robertson, A.; Goupee, A. J.

2012-11-01T23:59:59.000Z

347

Calibration and Validation of a Spar-Type Floating Offshore Wind Turbine Model using the FAST Dynamic Simulation Tool: Preprint  

SciTech Connect

In 2007, the FAST wind turbine simulation tool, developed and maintained by the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL), was expanded to include capabilities that are suitable for modeling floating offshore wind turbines. In an effort to validate FAST and other offshore wind energy modeling tools, DOE funded the DeepCwind project that tested three prototype floating wind turbines at 1/50th scale in a wave basin, including a semisubmersible, a tension-leg platform, and a spar buoy. This paper describes the use of the results of the spar wave basin tests to calibrate and validate the FAST offshore floating simulation tool, and presents some initial results of simulated dynamic responses of the spar to several combinations of wind and sea states.

Browning, J. R.; Jonkman, J.; Robertson, A.; Goupee, A. J.

2012-11-01T23:59:59.000Z

348

Resolving Nonstationary Spectral Information in Wind Speed Time Series Using the HilbertHuang Transform  

Science Conference Proceedings (OSTI)

This work is motivated by the observation that large-amplitude wind fluctuations on temporal scales of 110 h present challenges for the power management of large offshore wind farms. Wind fluctuations on these scales are analyzed at a ...

Claire Vincent; Gregor Giebel; Pierre Pinson; Henrik Madsen

2010-02-01T23:59:59.000Z

349

Hi-Q Rotor - Low Wind Speed Technology  

DOE Green Energy (OSTI)

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

Todd E. Mills; Judy Tatum

2010-01-11T23:59:59.000Z

350

The Influence of Bubbles on Ambient Noise in the Ocean at High Wind Speeds  

Science Conference Proceedings (OSTI)

Observations of ambient noise in the ocean at high wind speeds reveal significant departures in spectral shape from previously reported values at lower wind speeds. The observations were made in open ocean conditions in Queen Charlotte Sound, ...

David M. Farmer; David D. Lemon

1984-11-01T23:59:59.000Z

351

Modeling and design of control system for variable speed wind turbine in all operating region  

Science Conference Proceedings (OSTI)

In order to get the maximum power from the wind, the variable-speed wind turbine should run at different speed when wind speed changes. In this paper a control system is introduced to get this purpose base on establishing the three-mass model of the ... Keywords: doubly-fed induction generator (DFIG), feed-forward compensator, loop-shaping, pitch controller, speed controller, three-mass model, wind turbine

Wu Dingguo; Wang Zhixin

2008-05-01T23:59:59.000Z

352

Abstract--This paper presents the harmonic analysis of offshore wind farm (OWF) models with full converters  

E-Print Network (OSTI)

. Hjerrild, are with DONG Energy, Denmark (e-mail:, lukko@dongenergy.dk, jeshj@dongenergy.dk). C. L. Bak is with the Institute of Energy Technology, Aalborg University, Denmark (e-mail: clb@iet.aau.dk). effects of harmonics [15]. Fig. 2 Wind turbines from Burbo Bank Offshore Wind Farm (daylife.com). In order to investigate

Bak, Claus Leth

353

A neural network control strategy for improved energy capture on a variable-speed wind turbine  

Science Conference Proceedings (OSTI)

Pitch control has so far been the dominating method for power control in modern variable speed wind turbines. This paper proposes an improved control technique for pitching the blades of a variable speed wind turbine, using Artificial Neural Networks ... Keywords: artificial neural networks, control trajectories, pitch control, variable-speed wind turbines

Antnio F. Silva; Fernando A. Castro; Jos N. Fidalgo

2005-06-01T23:59:59.000Z

354

Incorporation of Multi-Member Substructure Capabilities in FAST for Analysis of Offshore Wind Turbines: Preprint  

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

Incorporation of Multi-Member Incorporation of Multi-Member Substructure Capabilities in FAST for Analysis of Offshore Wind Turbines Preprint H. Song, A. Robertson, and J. Jonkman National Renewable Energy Laboratory D. Sewell University of Delaware Presented at the Offshore Technology Conference Houston, Texas April 30-May 3, 2012 Conference Paper NREL/CP-5000-53676 May 2012 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance 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. This report was prepared as an account of work sponsored by an agency of the United States government.

355

Systematic Controller Design Methodology for Variable-Speed Wind Turbines  

DOE Green Energy (OSTI)

Variable-speed, horizontal axis wind turbines use blade-pitch control to meet specified objectives for three operational regions. This paper provides a guide for controller design for the constant power production regime. A simple, rigid, non-linear turbine model was used to systematically perform trade-off studies between two performance metrics. Minimization of both the deviation of the rotor speed from the desired speed and the motion of the actuator is desired. The robust nature of the proportional-integral-derivative controller is illustrated, and optimal operating conditions are determined. Because numerous simulation runs may be completed in a short time, the relationship between the two opposing metrics is easily visualized.

Hand, M. M.; Balas, M. J.

2002-02-01T23:59:59.000Z

356

Model Development and Loads Analysis of a Wind Turbine on a Floating Offshore Tension Leg Platform  

SciTech Connect

This report presents results of the analysis of a 5-MW wind turbine located on a floating offshore tension leg platform (TLP) that was conducted using the fully coupled time-domain aero-hydro-servo-elastic design code FAST with AeroDyn and HydroDyn. Models in this code are of greater fidelity than most of the models that have been used to analyze floating turbines in the past--which have neglected important hydrodynamic and mooring system effects. The report provides a description of the development process of a TLP model, which is a modified version of a Massachusetts Institute of Technology design derived from a parametric linear frequency-domain optimization process. An extensive loads and stability analysis for ultimate and fatigue loads according to the procedure of the International Electrotechnical Commission offshore wind turbine design standard was performed with the verified TLP model. Response statistics, extreme event tables, fatigue lifetimes, and selected time histories of design-driving extreme events are analyzed and presented. Loads for the wind turbine on the TLP are compared to those of an equivalent land-based turbine in terms of load ratios. Major instabilities for the TLP are identified and described.

Matha, D.; Fischer, T.; Kuhn, M.; Jonkman, J.

2010-02-01T23:59:59.000Z

357

Development of a Scale Model Wind Turbine for Testing of Offshore Floating Wind Turbine Systems.  

E-Print Network (OSTI)

??This thesis presents the development of a 1/50th scale 5 MW wind turbine intended for wind and wave basin model testing of commercially viable floating (more)

Martin, Heather Rae

2011-01-01T23:59:59.000Z

358

Doubly Fed Induction Generator in an Offshore Wind Power Plant Operated at Rated V/Hz: Preprint  

DOE Green Energy (OSTI)

This paper introduces the concept of constant Volt/Hz operation of offshore wind power plants. The deployment of offshore WPPs requires power transmission from the plant to the load center inland. Since this power transmission requires submarine cables, there is a need to use High-Voltage Direct Current transmission, which is economical for transmission distances longer than 50 kilometers. In the concept presented here, the onshore substation is operated at 60 Hz synced with the grid, and the offshore substation is operated at variable frequency and voltage, thus allowing the WPP to be operated at constant Volt/Hz.

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

2012-06-01T23:59:59.000Z

359

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

E-Print Network (OSTI)

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

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

2010-01-01T23:59:59.000Z

360

One-Month Ahead Prediction of Wind Speed and Output Power Based on EMD and LSSVM  

Science Conference Proceedings (OSTI)

Wind speed is a kind of non-stationary time series, it is difficult to construct the model for accurate forecast. The way improving accuracy of the model for predicting wind speed up to one-month ahead has been investigated using measured data recorded ... Keywords: wind speed forecasting, empirical mode decomposition(EMD), least square support vector machine (LSSVM), intrinsic mode function(IFM), wind power

Wang Xiaolan; Li Hui

2009-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

Model Simulations Examining the Relationship of Lake-Effect Morphology to Lake Shape, Wind Direction, and Wind Speed  

Science Conference Proceedings (OSTI)

Idealized model simulations with an isolated elliptical lake and prescribed winter lake-effect environmental conditions were used to examine the influences of lake shape, wind speed, and wind direction on the mesoscale morphology. This study ...

Neil F. Laird; John E. Walsh; David A. R. Kristovich

2003-09-01T23:59:59.000Z

362

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

Science Conference Proceedings (OSTI)

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

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

363

Neuroadaptive speed assistance control of wind turbine with variable ratio gearbox (VRG)  

Science Conference Proceedings (OSTI)

Wind power as a renewable energy source is irregular in occurrence. It is interesting yet challenging to maximize the energy capture from wind. Most existing control methods for wind power generation are traditionally based on wind turbine with fixed ... Keywords: PMSM, neuroadaptive control, speed regulation, wind turbine

Xue-fei Wang; Yong-duan Song; Dan-yong Li; Kai Zhang; Shan Xue; Ming Qin

2012-07-01T23:59:59.000Z

364

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Wiser, Ryan

2012-01-01T23:59:59.000Z

365

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

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

Bolinger, Mark

2010-01-01T23:59:59.000Z

366

Incorporation of Multi-Member Substructure Capabilities in FAST for Analysis of Offshore Wind Turbines: Preprint  

DOE Green Energy (OSTI)

FAST, developed by the National Renewable Energy Laboratory (NREL), is an aero-hydro-servo-elastic tool widely used for analyzing onshore and offshore wind turbines. This paper discusses recent modifications made to FAST to enable the examination of offshore wind turbines with fixed-bottom, multi-member support structures (which are commonly used in transitional-depth waters).; This paper addresses the methods used for incorporating the hydrostatic and hydrodynamic loading on multi-member structures in FAST through its hydronamic loading module, HydroDyn. Modeling of the hydrodynamic loads was accomplished through the incorporation of Morison and buoyancy loads on the support structures. Issues addressed include how to model loads at the joints of intersecting members and on tapered and tilted members of the support structure. Three example structures are modeled to test and verify the solutions generated by the modifications to HydroDyn, including a monopile, tripod, and jacket structure. Verification is achieved through comparison of the results to a computational fluid dynamics (CFD)-derived solution using the commercial software tool STAR-CCM+.

Song, H.; Robertson, A.; Jonkman, J.; Sewell, D.

2012-05-01T23:59:59.000Z

367

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.

368

Measurement strategies for estimating long-term average wind speeds  

DOE Green Energy (OSTI)

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

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

1980-10-01T23:59:59.000Z

369

Stability analysis of a variable-speed wind turbine  

DOE Green Energy (OSTI)

This paper examines the elastomechanical stability of a four-bladed wind turbine over a specific rotor speed range. Stability modes, frequencies, and dampings are extracted using a specialized modal processor developed at NREL that post-processes the response data generated by the ADAMS simulation code. The processor can analyze a turbine with an arbitrary number of rotor blades and offers a novel capability of isolating stability modes that become locked at a single frequency. Results indicate that over a certain rotor speed range, the tower lateral mode and the rotor regressive in-plane mode coalesce, resulting in a self-excited instability. Additional results show the effect of tower and nacelle parameters on the stability boundaries.

Bir, G.S.; Wright, A.D.; Butterfield, C.P.

1996-10-01T23:59:59.000Z

370

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

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

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

371

Homogenization and Trend Analysis of Canadian Near-Surface Wind Speeds  

Science Conference Proceedings (OSTI)

Near-surface wind speeds recorded at 117 stations in Canada for the period from 1953 to 2006 were analyzed in this study. First, metadata and a logarithmic wind profile were used to adjust hourly wind speeds measured at nonstandard anemometer ...

Hui Wan; Xiaolan L. Wang; Val R. Swail

2010-03-01T23:59:59.000Z

372

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 (National Renewable Energy Laboratory) wind turbine simulator FAST (Fatigue, Aerodynamics, Structures

Brest, Université de

373

Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks  

Science Conference Proceedings (OSTI)

In wind energy conversion systems, one of the operational problems is the changeability and discontinuity of wind. In most cases, wind speed can fluctuate rapidly. Hence, quality of produced energy becomes an important problem in wind energy conversion ... Keywords: Neural network-based controller, Pitch control, Variable-speed wind turbine, Wind energy conversion systems

Ahmet Serdar Yilmaz; Zafer zer

2009-08-01T23:59:59.000Z

374

Solar wind acceleration in coronal holes. [High speed solar wind streams  

SciTech Connect

Past attempts to explain the large solar wind velocities in high speed streams by theoretical models of the expansion have invoked either extended nonthermal heating of the corona, heat flux inhibition, or direct addition of momentum to the expanding coronal plasma. Several workers have shown that inhibiting the heat flux at low coronal densities is probably not adequate to explain quantitatively the observed plasma velocities in high speed streams. It stressed that, in order to account for both these large plasma velocities and the low densities found in coronal holes (from which most high speed streams are believed to emanate), extended heating by itself will not suffice. One needs a nonthermal mechanism to provide the bulk acceleration of the high wind plasma close to the sun, and the most likely candidate at present is direct addition of the momentum carried by outward-propagating waves to the expanding corona. Some form of momentum addition appears to be absolutely necessary if one hopes to build quantitatively self-consistent models of coronal holes and high speed solar wind streams.

Kopp, R.A.

1978-01-01T23:59:59.000Z

375

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

Open Energy Info (EERE)

from the KAMMWASP studies for Kenya.

The KAMMWAsP methodology uses a set of wind classes to represent wind conditions for the mapped region. A mesoscale simulation for...

376

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

Open Energy Info (EERE)

for Nepal.

The KAMMWAsP methodology uses a set of windclasses to represent wind conditions for the mapped region. A mesoscale simulation for each wind class, using...

377

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

Open Energy Info (EERE)

the KAMMWASP studies for Ethiopia.

The KAMMWAsP methodology uses a set of wind classes to represent wind conditions for the mapped region. A mesoscale simulation for...

378

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

Open Energy Info (EERE)

See supplemental information.

The KAMMWAsP methodology uses a set of wind classes to represent wind conditions for the mapped region. A mesoscale simulation for...

379

Effects of turbulence on power generation for variable-speed wind turbines  

DOE Green Energy (OSTI)

One of the primary advantages of variable-speed wind turbines over fixed-speed turbines should be improved aerodynamic efficiency. With variable-speed generation, in order to maintain a constant ratio of wind speed to tip speed, the wind turbine changes rotor speed as the wind speed changes. In this paper we compare a stall-controlled, variable-speed wind turbine to a fixed-speed turbine. The focus of this paper is to investigate the effects of variable speed on energy capture and its ability to control peak power. We also show the impact of turbulence on energy capture in moderate winds. In this report, we use a dynamic simulator to apply different winds to a wind turbine model. This model incorporates typical inertial and aerodynamic performance characteristics. From this study we found a control strategy that makes it possible to operate a stall-controlled turbine using variable speed to optimize energy capture and to control peak power. We also found that turbulence does not have a significant impact on energy capture.

Muljadi, E.; Butterfield, C.P.; Buhl, M.L. Jr.

1996-11-01T23:59:59.000Z

380

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

Note: This page contains sample records for the topic "offshore 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

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

382

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

383

Definition: Wind power | Open Energy Information  

Open Energy Info (EERE)

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

384

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

385

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height  

Science Conference Proceedings (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

386

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

Science Conference Proceedings (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

387

Spatial Predictions of Extreme Wind Speeds over Switzerland Using Generalized Additive Models  

Science Conference Proceedings (OSTI)

The purpose of this work is to present a methodology aimed at predicting extreme wind speeds over Switzerland. Generalized additive models are used to regionalize wind statistics for Swiss weather stations using a number of variables that ...

Christophe Etienne; Anthony Lehmann; Stphane Goyette; Juan-Ignacio Lopez-Moreno; Martin Beniston

2010-09-01T23:59:59.000Z

388

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

Science Conference Proceedings (OSTI)

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

389

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

390

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

391

Summary of Conclusions and Recommendations Drawn from the DeepCWind Scaled Floating Offshore Wind System Test Campaign: Preprint  

DOE Green Energy (OSTI)

The DeepCwind consortium is a group of universities, national labs, and companies funded under a research initiative by the U.S. Department of Energy (DOE) to support the research and development of floating offshore wind power. The two main objectives of the project are to better understand the complex dynamic behavior of floating offshore wind systems and to create experimental data for use in validating the tools used in modeling these systems. In support of these objectives, the DeepCwind consortium conducted a model test campaign in 2011 of three generic floating wind systems, a tension-leg platform (TLP), a spar-buoy (spar), and a semisubmersible (semi). Each of the three platforms was designed to support a 1/50th-scale model of a 5 MW wind turbine and was tested under a variety of wind/wave conditions. The focus of this paper is to summarize the work done by consortium members in analyzing the data obtained from the test campaign and its use for validating the offshore wind modeling tool, FAST.

Robertson, A. N.; Jonkman, J. M.; Masciola, M. D.; Molta, P.; Goupee, A. J.; Coulling, A. J.; Prowell, I.; Browning, J.

2013-07-01T23:59:59.000Z

392

A variable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system  

Science Conference Proceedings (OSTI)

The power from wind varies depending on the environmental factors. Many methods have been proposed to locate and track the maximum power point (MPPT) of the wind, such as the fuzzy logic (FL), artificial neural network (ANN) and neuro-fuzzy. In this ... Keywords: ANFIS, MPPT, Power generation, Variable speed wind generator, Wind energy

A. Meharrar; M. Tioursi; M. Hatti; A. Boudghne Stambouli

2011-06-01T23:59:59.000Z

393

New Modeling Tool Analyzes Floating Platform Concepts for Offshore Wind Turbines (Fact Sheet), NREL Highlights, Research & Development, NREL (National Renewable Energy Laboratory)  

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

at the National Renewable Energy Laboratory at the National Renewable Energy Laboratory (NREL) develop a new complex modeling and analysis tool capable of analyzing floating platform concepts for offshore wind turbines. The new modeling tool combines the computational methodologies used to analyze land-based wind turbines with the comprehensive hydrodynamic computer programs developed for offshore oil and gas industries. This new coupled dynamic simulation tool will enable the development of cost-effective offshore technologies capable of harvesting the rich offshore wind resources at water depths that cannot be reached using the current technology. Currently, most offshore wind turbines are installed in shallow water, less than 30 meters deep, on bottom-mounted substructures. But these substructures are not

394

The study of multimode power control system for MW variable-speed wind turbine  

Science Conference Proceedings (OSTI)

Wind energy is a viable option to complement other types of pollution-free generation. In the past constant-speed wind turbine is used for the limitation of the control technology and manufacturing technology. But this kind wind turbine has low efficiency ... Keywords: feed-forward compensator, loop-shaping, multimode power control system, pitch controller, speed controller, the shaft system model, wind turbine

Dingguo Wu; Zhixin Wang

2008-10-01T23:59:59.000Z

395

Design Considerations for Monopile Founded Offshore Wind Turbines Subject to Breaking Waves  

E-Print Network (OSTI)

The majority of offshore wind farms utilize monopile substructures. As these wind farms are typically located in water depths less than 30 meters, the effect of breaking waves on these structures is of great concern to design engineers. This research investigation examines many of the practical considerations and alternative ways of estimating breaking wave forces. A survey of existing European wind farms is used to establish a realistic range of basic design parameters. Based upon this information a parametric study was pursued and a series of realistic design scenarios were evaluated. Comparisons include the sensitivity to the wave force model as well as to analytical and numerical wave theories used to evaluate the wave kinematics. In addition, the effect of different kinematics stretching techniques for linear waves is addressed. Establishing whether the bathymetry will induce spilling or plunging wave breaking is critical. Spilling wave breaking can be addressed using existing wave and wave force theories; however for plunging wave breaking an additional impact force must be introduced. Dimensionless design curves are used to display pertinent trends across the full range of design cases considered. This research study provides insight into the evaluation of the maximum breaking wave forces and overturning moment for both spilling and plunging breaking waves as a function of bottom slope.

Owens, Garrett 1987-

2012-12-01T23:59:59.000Z

396

Presented on the European Wind Energy Conference & Exhibition, Brussels, Belgium, March, 31 Network of offshore wind farms connected by gas insulated  

E-Print Network (OSTI)

transmission from an offshore wind farm, HVDC may be an interesting option. In a HVDC transmission, the low as shown in Fig. 25 (d). For certain power level, a HVDC transmission system, based on voltage source converter technology, may be used in such a system instead of the conventional thyristor based HVDC

Heinemann, Detlev

397

Low Wind Speed Technology Phase II: Investigation of the Application of Medium-Voltage Variable-Speed Drive Technology to Improve the Cost of Energy from Low Wind Speed Turbines; Behnke, Erdman and Whitaker Engineering, Inc.  

SciTech Connect

This fact sheet describes a subcontract with Behnke, Erdman & Whitaker Engineering, Inc. to test the feasibility of applying medium-voltage variable-speed drive technology to low wind speed turbines.

2006-03-01T23:59:59.000Z

398

GAOH Offshore | Open Energy Information  

Open Energy Info (EERE)

Intends to become the preferred supplier of transport and logistical solutions for the offshore wind industry. References GAOH Offshore1 LinkedIn Connections CrunchBase...

399

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.

400

Standard Deviations of Wind Speed and Direction from Observations over a Smooth Surface  

Science Conference Proceedings (OSTI)

Measurements of wind speed and direction made every minute on a 15 m mast sited on a large expanse of sea ice were analyzed to study the behavior of their standard deviation. The large scatter normally observed under low wind speed and/or non-...

Sylvain M. Joffre; Tuomas Laurila

1988-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

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

Science Conference Proceedings (OSTI)

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

R. W. R. Darling

1991-10-01T23:59:59.000Z

402

Hydrogen Sulfide Dispersion Consequences Analysis in Different Wind Speeds: A CFD Based Approach  

Science Conference Proceedings (OSTI)

Hydrogen sulfide (h2s) leakage and dispersion from a sulfide recycle installation in different wind speeds are simulated by implementing a 3D Computational Fluid Dynamics (CFD) model. H2s concentrations of monitor points which represent dispersion contours ... Keywords: CFD, hydrogen Sulfide, dispersion, concenquences analysis, different wind speeds

Bo Zhang; Guo-ming Chen

2009-10-01T23:59:59.000Z

403

Utilization of Automatic Weather Station Data for Forecasting High Wind Speeds at Pegasus Runway, Antarctica  

Science Conference Proceedings (OSTI)

Reduced visibility due to blowing snow can severely hinder aircraft operations in the Antarctic. Wind speeds in excess of approximately 713 m s?1 can result in blowing snow. The ability to forecast high wind speed events can improve the safety ...

R. E. Holmes; C. R. Stearns; G. A. Weidner; L. M. Keller

2000-04-01T23:59:59.000Z

404

Observed Coherent Trends of Surface and Upper-Air Wind Speed over China since 1960  

Science Conference Proceedings (OSTI)

Previous studies indicated that surface wind speed over China declined during past decades, and several explanations exist in the literature. This study presents long-term (19602009) changes of both surface and upper-air wind speeds over China ...

Changgui Lin; Kun Yang; Jun Qin; Rong Fu

2013-05-01T23:59:59.000Z

405

Multibody Dynamics Using Conservation of Momentum with Application to Compliant Offshore Floating Wind Turbines  

E-Print Network (OSTI)

Environmental, aesthetic and political pressures continue to push for siting off-shore wind turbines beyond sight of land, where waters tend to be deeper, and use of floating structures is likely to be considered. Savings could potentially be realized by reducing hull size, which would allow more compliance with the wind thrust force in the pitch direction. On the other hand, these structures with large-amplitude motions will make dynamic analysis both more challenging and more critical. Prior to the present work, there were no existing dynamic simulation tools specifically intended for compliant wind turbine design. Development and application of a new computational method underlying a new time-domain simulation tool is presented in this dissertation. The compliant floating wind turbine system is considered as a multibody system including tower, nacelle, rotor and other moving parts. Euler's equations of motion are first applied to the compliant design to investigate the large-amplitude motions. Then, a new formulation of multibody dynamics is developed through application of the conservation of both linear momentum and angular momentum to the entire system directly. A base body is prescribed within the compliant wind turbine system, and the equations of motion (EOMs) of the system are projected into the coordinate system associated with this body. Only six basic EOMs of the system are required to capture 6 unknown degrees of freedom (DOFs) of the base body when mechanical DOFs between contiguous bodies are prescribed. The 6 x 6 mass matrix is actually composed of two decoupled 3 x 3 mass matrices for translation and rotation, respectively. Each element within the matrix includes the inertial effects of all bodies. This condensation decreases the coupling between elements in the mass matrix, and so minimizes the computational demand. The simulation results are verified by critical comparison with those of the popular wind turbine dynamics software FAST. The new formulation is generalized to form the momentum cloud method (M- CM), which is particularly well suited to the serial mechanical N-body systems connected by revolute joints with prescribed relative rotation. The MCM is then expanded to multibody systems with more complicated joints and connection types.

Wang, Lei

2012-08-01T23:59:59.000Z

406

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.

407

An examination of loads and responses of a wind turbine undergoing variable-speed operation  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory has recently developed the ability to predict turbine loads and responses for machines undergoing variable-speed operation. The wind industry has debated the potential benefits of operating wind turbine sat variable speeds for some time. Turbine system dynamic responses (structural response, resonance, and component interactions) are an important consideration for variable-speed operation of wind turbines. The authors have implemented simple, variable-speed control algorithms for both the FAST and ADAMS dynamics codes. The control algorithm is a simple one, allowing the turbine to track the optimum power coefficient (C{sub p}). The objective of this paper is to show turbine loads and responses for a particular two-bladed, teetering-hub, downwind turbine undergoing variable-speed operation. The authors examined the response of the machine to various turbulent wind inflow conditions. In addition, they compare the structural responses under fixed-speed and variable-speed operation. For this paper, they restrict their comparisons to those wind-speed ranges for which limiting power by some additional control strategy (blade pitch or aileron control, for example) is not necessary. The objective here is to develop a basic understanding of the differences in loads and responses between the fixed-speed and variable-speed operation of this wind turbine configuration.

Wright, A.D.; Buhl, M.L. Jr.; Bir, G.S.

1996-11-01T23:59:59.000Z

408

Wind Speeds in ASCE 7 Standard Peak-Gust Map ...  

Science Conference Proceedings (OSTI)

... The second zone comprises these three states, for which ... implies that the extreme wind climate in Central ... 6 is similar to the wind climates in Central ...

2013-08-19T23:59:59.000Z

409

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

410

Adaptive variable structure control law for a variable speed wind turbine  

Science Conference Proceedings (OSTI)

The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, an adaptive robust control for a doubly feed induction generator drive for variable speed wind power generation is described. ... Keywords: modeling and simulation, variable structure control, wind turbine control

Oscar Barambones; Jose Maria Gonzalez De Durana; Patxi Alkorta; Jose Antonio Ramos; Manuel De La Sen

2011-05-01T23:59:59.000Z

411

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

Science Conference Proceedings (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

412

Control algorithms for effective operation of variable-speed wind turbines  

DOE Green Energy (OSTI)

This report describes a computer code, called ASYM and provides results from its application in simulating the control of the 34-m Test Bed vertical-axis wind turbine (VAWT) in Bushland, Texas. The code synthesizes dynamic wind speeds on a second-by-second basis in the time domain. The wind speeds conform to a predetermined spectral content governed by the hourly average wind speed that prevails at each hour of the simulation. The hourly average values are selected in a probabilistic sense through the application of Markov chains, but their cumulative frequency of occurrence conforms to a Rayleigh distribution that is governed by the mean annual wind speed of the site selected. The simulated wind speeds then drive a series of control algorithms that enable the code to predict key operational parameters such as number of annual starts and stops, annual energy production, and annual fatigue damage at a critically stressed joint on the wind turbine. This report also presents results from the application of ASYM that pertain to low wind speed cut-in and cut-out conditions and controlled operation near critical speed ranges that excite structural vibrations that can lead to accelerated fatigue damage.

Not Available

1993-10-01T23:59:59.000Z

413

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

Science Conference Proceedings (OSTI)

This paper evaluates the applicability of neural networks to estimate wind speeds at various target locations using neighboring reference locations on the South coast of Newfoundland Canada. The stations were chosen to cover a variety of ...

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

414

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

Science Conference Proceedings (OSTI)

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

Stanton E. Tuller; Arthur C. Brett

1984-01-01T23:59:59.000Z

415

Maximizing Energy Capture of Fixed-Pitch Variable-Speed Wind Turbines  

DOE Green Energy (OSTI)

Field tests of a variable-speed, stall-regulated wind turbine were conducted at a US Department of Energy Laboratory. A variable-speed generating system, comprising a doubly-fed generator and series-resonant power converter, was installed on a 275-kW, downwind, two-blade wind turbine. Gearbox, generator, and converter efficiency were measured in the laboratory so that rotor aerodynamic efficiency could be determined from field measurement of generator power. The turbine was operated at several discrete rotational speeds to develop power curves for use in formulating variable-speed control strategies. Test results for fixed-speed and variable-speed operation are presented along with discussion and comparison of the variable-speed control methodologies. Where possible, comparisons between fixed-speed and variable-speed operation are shown.

Pierce, K.; Migliore, P.

2000-08-01T23:59:59.000Z

416

MODEL REQUEST FOR PROPOSALS TO PROVIDE ENERGY AND OTHER ATTRIBUTES FROM AN OFFSHORE WIND POWER PROJECT  

DOE Green Energy (OSTI)

This document provides a model RFP for new generation. The 'base' RFP is for a single-source offshore wind RFP. Required modifications are noted should a state or utility seek multi-source bids (e.g., all renewables or all sources). The model is premised on proposals meeting threshold requirements (e.g., a MW range of generating capacity and a range in terms of years), RFP issuer preferences (e.g., likelihood of commercial operation by a date certain, price certainty, and reduction in congestion), and evaluation criteria, along with a series of plans (e.g., site, environmental effects, construction, community outreach, interconnection, etc.). The Model RFP places the most weight on project risk (45%), followed by project economics (35%), and environmental and social considerations (20%). However, if a multi-source RFP is put forward, the sponsor would need to either add per-MWh technology-specific, life-cycle climate (CO2), environmental and health impact costs to bid prices under the 'Project Economics' category or it should increase the weight given to the 'Environmental and Social Considerations' category.

Jeremy Firestone; Dawn Kurtz Crompton

2011-10-22T23:59:59.000Z

417

Space-Time Wind Speed Forecasting for Improved Power System Dispatch  

E-Print Network (OSTI)

In order to support large scale integration of wind power, state-of-the-art wind speed forecasting methods should provide accurate and adequate information to enable efficient scheduling of wind power in electric energy systems. In this article, space-time wind forecasts are incorporated into power system economic dispatch models. First, we proposed a new space-time wind forecasting model, which generalizes and improves upon a so-called regime-switching space-time model by allowing the forecast regimes to vary with the dominant wind direction and with the seasons. Then, results from the new wind forecasting model are implemented into a power system economic dispatch model, which takes into account both spatial and temporal wind speed correlations. This, in turn, leads to an overall more cost-effective scheduling of system-wide wind generation portfolio. The potential economic benefits arise in the system-wide generation cost savings and in the ancillary service cost savings. This is illustrated in a test system in the northwest region of the U.S. Compared with persistent and autoregressive models, our proposed method could lead to annual integration cost savings on the scale of tens of millions of dollars in regions with high wind penetration, such as Texas and the Northwest. Key words: Power system economic dispatch; Power system operation; Space-time statistical model; Wind data; Wind speed forecasting.

Xinxin Zhu; Marc G. Genton; Yingzhong Gu; Le Xie

2012-01-01T23:59:59.000Z

418

Toward Objective, Standardized Intensity Estimates from Surface Wind Speed Observations  

Science Conference Proceedings (OSTI)

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

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

2010-12-01T23:59:59.000Z

419

Low Wind Speed Technology Phase II: LIDAR for Turbine Control  

SciTech Connect

This fact sheet describes NREL's subcontract with QinetiQ to conduct a study on LIDAR systems for wind turbines.

Not Available

2006-06-01T23:59:59.000Z

420

Screening Analysis for the Environmental Risk Evaluation System Fiscal Year 2011 Report Environmental Effects of Offshore Wind Energy  

SciTech Connect

Potential environmental effects of offshore wind (OSW) energy development are not well understood, and yet regulatory agencies are required to make decisions in spite of substantial uncertainty about environmental impacts and their long-term consequences. An understanding of risks associated with interactions between OSW installations and avian and aquatic receptors, including animals, habitats, and ecosystems, can help define key uncertainties and focus regulatory actions and scientific studies on interactions of most concern. During FY 2011, Pacific Northwest National Laboratory (PNNL) scientists adapted and applied the Environmental Risk Evaluation System (ERES), first developed to examine the effects of marine and hydrokinetic energy devices on aquatic environments, to offshore wind development. PNNL scientists conducted a risk screening analysis on two initial OSW cases: a wind project in Lake Erie and a wind project off the Atlantic coast of the United States near Atlantic City, New Jersey. The screening analysis revealed that top-tier stressors in the two OSW cases were the dynamic effects of the device (e.g., strike), accidents/disasters, and effects of the static physical presence of the device, such as alterations in bottom habitats. Receptor interactions with these stressors at the highest tiers of risk were dominated by threatened and endangered animals. Risk to the physical environment from changes in flow regime also ranked high. Peer review of this process and results will be conducted during FY 2012. The ERES screening analysis provides an assessment of the vulnerability of environmental receptors to stressors associated with OSW installations; a probability analysis is needed to determine specific risk levels to receptors. As more data become available that document effects of offshore wind farms on specific receptors in U.S. coastal and Great Lakes waters, probability analyses will be performed.

Copping, Andrea E.; Hanna, Luke A.

2011-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

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

422

AirSea Enthalpy and Momentum Exchange at Major Hurricane Wind Speeds Observed during CBLAST  

Science Conference Proceedings (OSTI)

Quantifying airsea exchanges of enthalpy and momentum is important for understanding and skillfully predicting tropical cyclone intensity, but the magnitude of the corresponding wind speeddependent bulk exchange coefficients is largely unknown ...

Michael M. Bell; Michael T. Montgomery; Kerry A. Emanuel

2012-11-01T23:59:59.000Z

423

AirSea Enthalpy and Momentum Exchange at Major Hurricane Wind Speeds Observed during CBLAST  

E-Print Network (OSTI)

Quantifying airsea exchanges of enthalpy and momentum is important for understanding and skillfully predicting tropical cyclone intensity, but the magnitude of the corresponding wind speeddependent bulk exchange coefficients ...

Bell, Michael M.

424

Tests of the Generalized Pareto Distribution for Predicting Extreme Wind Speeds  

Science Conference Proceedings (OSTI)

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

B. B. Brabson; J. P. Palutikof

2000-09-01T23:59:59.000Z

425

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

426

Observed Hurricane Wind Speed Asymmetries and Relationships to Motion and Environmental Shear  

Science Conference Proceedings (OSTI)

Wavenumber-1 wind speed asymmetries in 35 hurricanes are quantified in terms of amplitude and phase, based on aircraft observations from 128 individual flights between 1998 and 2011. The impacts of motion and 850-200 mb environmental vertical ...

Eric W. Uhlhorn; Bradley W. Klotz; Tomislava Vukicevic; Paul D. Reasor; Robert F. Rogers

427

A Phenomenological Model for Wind Speed and Shear Stress Profiles in Vegetation Cover Layers  

Science Conference Proceedings (OSTI)

A phenomenological model for the mean wind speed and Reynolds shear stress profiles with height in a vegetation cover layer is derived from forms suggested by truncation of the equations of turbulent fluid motion at second order in fluctuating ...

F. A. Albini

1981-11-01T23:59:59.000Z

428

A fuzzy logic controller to increase fault ride-through capability of variable speed wind turbines  

Science Conference Proceedings (OSTI)

A fuzzy controller for improving Fault Ride-Through (FRT) capability of Variable Speed Wind Turbines (WTs) equipped with Doubly Fed Induction Generator (DFIG) is presented. The controller is designed in order to compensate the voltage at the Point of ...

Geev Mokryani, Pierluigi Siano, Antonio Piccolo, Vito Calderaro

2012-01-01T23:59:59.000Z

429

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

Science Conference Proceedings (OSTI)

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

Roberto Sozzi; Maurizio Favaron; Teodoro Georgiadis

1998-05-01T23:59:59.000Z

430

Evaluation of the National Hurricane Centers Tropical Cyclone Wind Speed Probability Forecast Product  

Science Conference Proceedings (OSTI)

A tropical cyclone (TC) wind speed probability forecast product developed at the Cooperative Institute for Research in the Atmosphere (CIRA) and adopted by the National Hurricane Center (NHC) is evaluated for U.S. land-threatening and landfalling ...

Michael E. Splitt; Jaclyn A. Shafer; Steven M. Lazarus; William P. Roeder

2010-04-01T23:59:59.000Z

431

Estimation of Wind Speed Distribution Using Markov Chain Monte Carlo Techniques  

Science Conference Proceedings (OSTI)

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

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

2001-08-01T23:59:59.000Z

432

New Structural-Dynamics Module for Offshore Multimember Substructures within the Wind Turbine Computer-Aided Engineering Tool FAST: Preprint  

DOE Green Energy (OSTI)

FAST, developed by the National Renewable Energy Laboratory (NREL), is a computer-aided engineering (CAE) tool for aero-hydro-servo-elastic analysis of land-based and offshore wind turbines. This paper discusses recent upgrades made to FAST to enable loads simulations of offshore wind turbines with fixed-bottom, multimember support structures (e.g., jackets and tripods, which are commonly used in transitional-depth waters). The main theory and strategies for the implementation of the multimember substructure dynamics module (SubDyn) within the new FAST modularization framework are introduced. SubDyn relies on two main engineering schematizations: 1) a linear frame finite-element beam (LFEB) model and 2) a dynamics system reduction via Craig-Bampton's method. A jacket support structure and an offshore system consisting of a turbine atop a jacket substructure were simulated to test the SubDyn module and to preliminarily assess results against results from a commercial finite-element code.

Song, H.; Damiani, R.; Robertson, A.; Jonkman, J.

2013-08-01T23:59:59.000Z

433

OpenEI - offshore resource  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm8570 en Offshore Wind Resource http:en.openei.orgdatasetsnode921

Global Wind Potential Supply Curves by Country, Class, and...

434

Offshore Wind Resource Assessment with WAsP and MM5: Comparative  

E-Print Network (OSTI)

Technologiezentrum Westküste, Büsum #12;11.45 Uhr Schallminimierung bei der Errichtung von Offshore-Windenergie Forschungsplattform FINO3 - Einsatz des gro?en Blasenschleiers b) Martin Ros (15`) Menck GmbH, Kaltenkirchen Offshore

Heinemann, Detlev

435

Wind Power: How Much, How Soon, and At What Cost?  

E-Print Network (OSTI)

been located on land; offshore wind capacity surpassed 1 G Woffshore, and deep offshore wind potential. Even assumingthe potential for offshore wind. As such, the size of the

Wiser, Ryan H

2010-01-01T23:59:59.000Z

436

On the Accuracy of Monthly Mean Wind Speeds over the Equatorial Pacific  

Science Conference Proceedings (OSTI)

Yearlong in situ surface wind measurements at three sites along the Pacific equator (95, 110, 152W) are used to estimate the required number of random observations per month for monthly mean wind speed components accurate to 1.0 and 0.5 m s?. ...

David Halpern

1988-04-01T23:59:59.000Z

437

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

Science Conference Proceedings (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

438

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

Science Conference Proceedings (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 (19922001) of the 40-yr ECMWF Re-Analysis ...

Kristian Horvath; Alica Baji?; Stjepan Ivatek-ahdan

2011-08-01T23:59:59.000Z

439

8/10/2010 1 DOE Offshore Wind RFI Response: DEOA-EE0000385, DOE Offshore Wind Program, Input Requested for  

E-Print Network (OSTI)

onshore wind and other renewable energy sources including solar, geothermal, biomass, and small hydro-Losique, Program Manager, Wind and Water Power Program (WWPP) Office of Energy Efficiency and Renewable Energy U.S. Department of Energy (DOE) Dear Mr. Beaudry-Losique, Staff of the California Energy Commission provide

Islam, M. Saif

440

Low-Speed Wind-Tunnel Investigation of the Stability and Control Characteristics  

Science Conference Proceedings (OSTI)

A wind-tunnel investigation was conducted in the Langley 12-Foot Low-Speed Tunnel to study the low-speed stability and control characteristics of a series of four flying wings over an extended range of angle of attack (-8\\deg to 48\\deg). Because of the ...

Fears Scott P.; Ross Holly M.; Moul Thomas M.

1995-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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

Controlled operation of variable speed driven permanent magnet synchronous generator for wind energy conversion systems  

Science Conference Proceedings (OSTI)

The introduction of distributed generation through renewable sources of energy has opened a challenging area for power engineers. As these sources are intermittent in nature, variable speed electric generators are employed for harnessing electrical energy ... Keywords: permanent magnet synchronous generator, power conditioners, power quality, variable speed generators, wind energy

Rajveer Mittal; K. S. Sandhu; D. K. Jain

2009-02-01T23:59:59.000Z

442

Wind News | Department of Energy  

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

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

443

Time-domain Fatigue Response and Reliability Analysis of Offshore Wind Turbines with  

E-Print Network (OSTI)

-domain based simulation model of 750 kW land-based wind turbine Gear contact fatigue analysis of a wind of 750 kW land-based wind turbine Gear contact fatigue analysis of a wind turbine drive train under response and reliability analysis #12;Time domain based simulation model of 750 kW land-based wind turbine

Nørvåg, Kjetil

444

Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore R. J. BARTHELMIE,*,1 S. C. PRYOR,*,1 S. T. FRANDSEN,1 K. S. HANSEN,# J. G. SCHEPERS,@  

E-Print Network (OSTI)

Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms R. J. This research is focused on improving the understanding of, and modeling of, wind turbine wakes in order to make, the atmosphere, and neighboring turbines to accurately predict wind farm power output and thus optimize wind farm

Pryor, Sara C.

445

Feasibility analysis of coordinated offshore wind project development in the U.S.  

E-Print Network (OSTI)

Wind energy is one of the cleanest and most available resources in the world, and advancements in wind technology are making it more cost effective. Though wind power is rapidly developing in many regions, its variable ...

Zhang, Mimi Q

2008-01-01T23:59:59.000Z

446

WEST: A northern California study of the role of wind-driven transport in the productivity of coastal plankton communities  

E-Print Network (OSTI)

and persistent wind stress offshore, while inshore winds areby stronger winds, greater offshore transport and lowerextending well offshore due to wind stress curl off Bodega.

2006-01-01T23:59:59.000Z

447

The effects of variable speed and drive train component efficiencies on wind turbine energy capture  

SciTech Connect

A wind turbine rotor achieves optimal aerodynamic efficiency at a single tip-speed ratio (TSR). To maintain that optimal TSR and maximize energy capture in the stochastic wind environment, it is necessary to employ variable-speed operation. Conventional constant-speed wind turbines have, in the past, been converted into variable-speed turbines by attaching power electronics to the conventional induction generator and gearbox drive train. Such turbines have shown marginal, if any, improvement in energy capture over their constant-speed counterparts. These discrepancies have been shown to be the result of drive train components that are not optimized for variable-speed operation. Traditional drive trains and power electronic converters are designed to achieve maximum efficiency at full load and speed. However, the main energy producing winds operate the turbine at light load for long periods of time. Because of this, significant losses to efficiency occur. This investigation employs a quasi-static model to demonstrate the dramatic effect that component efficiency curves can have on overall annual energy capture.

Fingersh, L.J.; Robinson, M.C.

1998-05-01T23:59:59.000Z

448

Power System Modeling of 20percent Wind-Generated Electricity by 2030  

E-Print Network (OSTI)

price is constant Shallow Offshore Wind Technology Cost WindOhio was modified and offshore wind development in Texas was

Hand, Maureen

2008-01-01T23:59:59.000Z

449

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

DOE Green Energy (OSTI)

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

450

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

451

High speed air pneumatic wind shield wiping design  

E-Print Network (OSTI)

In this creative design process a number of designs were constructed, implemented and tested in order to assess the feasibility of using high speed to create a curtain to repel the rain from the automobile windshield instead ...

Heyward, Moses A

2005-01-01T23:59:59.000Z

452

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

Science Conference Proceedings (OSTI)

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

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

2012-09-01T23:59:59.000Z

453

Calibration and Validation of a Spar-Type Floating Offshore Wind Turbine Model using the FAST Dynamic Simulation Tool: Preprint  

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

Calibration and Validation of a Calibration and Validation of a Spar-Type Floating Offshore Wind Turbine Model using the FAST Dynamic Simulation Tool Preprint J.R. Browning University of Colorado-Boulder J. Jonkman and A. Robertson National Renewable Energy Laboratory A.J. Goupee University of Maine Presented at the Science of Making Torque from Wind Oldenburg, Germany October 9-11, 2012 Conference Paper NREL/CP-5000-56138 November 2012 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance 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.

454

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

455

Access Framework: Model Text (November 2011): An Act to Establish a Framework for Development of Offshore Wind Power  

SciTech Connect

The model offshore wind power legislation focused on two aspects: compensation for use of ocean space and environmental assessment. In particular, the model legislation recommends the adoption of a rent and royalty scheme that is premised on high rent and low royalties in order to stimulate qualified bids from developers who are motivated to begin production as early as possible and to discourage sham bidding. The model legislation also includes a provision that sets royalties at a lower rate in the early years of project operation, and that provides states with the discretion to waive or defer rent and/or royalties for a period of time to meet the goals and objectives of energy independence, job creation, reduced emissions of conventional pollutants and greenhouse gases and increased state requirements for electricity from renewable sources. The environmental impact assessment (EIA) is structured to provide a systematic and interdisciplinary evaluation of the potential positive and negative life-cycle effects of a proposed offshore wind project on the physical, biological, cultural and socio-economic attributes of the project.

Jeremy Firestone; Dawn Kurtz Crompton

2011-10-22T23:59:59.000Z

456

Secular Change in Reported Surface Wind Speeds over the Ocean  

Science Conference Proceedings (OSTI)

The Comprehensive Ocean-Atmosphere Data Set reveals that mean scalar winds decreased between 1854 and 1920 and increased since World War II. The latter increase is due to a change in estimating procedure and to the growing proportion of ships ...

C. S. Ramage

1987-04-01T23:59:59.000Z

457

Wind Stress and Heat Flux over the Ocean in Gale Force Winds  

Science Conference Proceedings (OSTI)

An offshore stable platform has been instrumented with wind turbulence, temperature and wave height sensors. Data from this platform have been analyzed by the eddy correlation method to obtain wind stress and heat flux at wind speeds from 6 to 22 ...

Stuart D. Smith

1980-05-01T23:59:59.000Z

458

The Extrapolation of Vertical Profiles of Wind Speed within the Marine Atmospheric Surface layer Using the p Formula  

Science Conference Proceedings (OSTI)

Values of p for the exponent-type wind profile formulation, used in vertical extrapolations of wind speed, were derived for the marine atmospheric surface layer. Nomograms were constructed providing p values as dependent on a single elevation ...

M. Segal; R. A. Pielke

1988-02-01T23:59:59.000Z

459

NREL GIS Data: U.S. Great Lakes Offshore Windspeed 90m Height High  

Open Energy Info (EERE)

Great Lakes Offshore Windspeed 90m Height High Great Lakes Offshore Windspeed 90m Height High Resolution Dataset Summary Description This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United States. To learn more, please see the Assessment of Offshore Wind Energy Resources for the United States. These data were produced in cooperation with U.S. Department of Energy, and have been validated by NREL. To download state wind resource maps, visit Wind Powering America. In order to ensure the downloadable shapefile is current, please compare the date updated on this page to the last updated date on the NREL GIS Wind Data webpage.

460

NREL GIS Data: U.S. Hawaii Offshore Windspeed 90m Height High Resolution |  

Open Energy Info (EERE)

Hawaii Offshore Windspeed 90m Height High Resolution Hawaii Offshore Windspeed 90m Height High Resolution Dataset Summary Description This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United States. To learn more, please see the Assessment of Offshore Wind Energy Resources for the United States. These data were produced in cooperation with U.S. Department of Energy, and have been validated by NREL. To download state wind resource maps, visit Wind Powering America. In order to ensure the downloadable shapefile is current, please compare the date updated on this page to the last updated date on the NREL GIS Wind Data webpage.

Note: This page contains sample records for the topic "offshore 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

NREL GIS Data: U.S. Gulf of Mexico Coast Offshore Windspeed 90m Height High  

Open Energy Info (EERE)

Gulf of Mexico Coast Offshore Windspeed 90m Height High Gulf of Mexico Coast Offshore Windspeed 90m Height High Resolution Dataset Summary Description This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United States. To learn more, please see the Assessment of Offshore Wind Energy Resources for the United States. These data were produced in cooperation with U.S. Department of Energy, and have been validated by NREL. To download state wind resource maps, visit Wind Powering America. In order to ensure the downloadable shapefile is current, please compare the date updated on this page to the last updated date on the NREL GIS Wind Data webpage.

462

Wind Plant Capacity Credit Variations: A Comparison of Results Using Multiyear Actual and Simulated Wind-Speed Data  

DOE Green Energy (OSTI)

Although it is widely recognized that variations in annual wind energy capture can be significant, it is not clear how significant this effect is on accurately calculating the capacity credit of a wind plant. An important question is raised concerning whether one year of wind data is representative of long-term patterns. This paper calculates the range of capacity credit measures based on 13 years of actual wind-speed data. The results are compared to those obtained with synthetic data sets that are based on one year of data. Although the use of synthetic data sets is a considerable improvement over single-estimate techniques, this paper finds that the actual inter- annual variation in capacity credit is still understated by the synthetic data technique.

Milligan, Michael

1997-06-01T23:59:59.000Z

463

Economic Comparison of HVAC and HVDCSolutions for Large Offshore Wind Farms underSpecial Consideration of Reliability.  

E-Print Network (OSTI)

?? An economic comparison of several HVAC-HVDC transmission systems from large offshore windfarms is presented. The power output from the offshore windfarm is modeled by (more)

Lazaridis, Lazaros

2005-01-01T23:59:59.000Z

464

Power-Electronic, Variable-Speed Wind Turbine Development: 1988-1993  

Science Conference Proceedings (OSTI)

A five-year development program culminated in the 33M-VS power-electronic, variable-speed turbine, used in a number of wind power plants to offer competitively priced electricity. This report describes turbine development activities from conception through field testing, highlights design decisions that led to the new technology, and provides an overview of the turbine's electrical and mechanical design. An appendix describes technical issues relevant to building a wind power plant using 33M-VS turbines.

1995-11-16T23:59:59.000Z

465

WREF 2012: THE PAST AND FUTURE COST OF WIND ENERGY  

E-Print Network (OSTI)

Great expectations: The cost of offshore wind in UK waters Monitoring Techniques for Offshore Wind Farms. Journal of

Wiser, Ryan

2013-01-01T23:59:59.000Z

466

1 1 1 1 1 1 2 2 Network of offshore wind farms connected by  

E-Print Network (OSTI)

combined with long Furthermore, compared to HVDC systems, . Conclusions ompared to other transmission transmission capacities only GIL or high voltage direct current (HVDC) systems are appropriate for transmission. For usage under offshore conditions three-phase alternating current has some benefits to HVDC solutions

Heinemann, Detlev

467

A FRESH LOOK AT OFFSHORE WIND OPPORTUNITIES IN MASSACHUSETTS Anthony L. Rogers, Ph.D.  

E-Print Network (OSTI)

projects are supplying energy at costs of about 7.5 cents/ kWh. There are plans to install 40 MW of wind enable the harvesting of wind energy resources from areas far from shore and close to shore in regions on these assumptions, the Department of Energy estimates that wind power could provide 33,000 GWh of energy per year

Massachusetts at Amherst, University of

468

Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade  

E-Print Network (OSTI)

Bruce Valpy. 2011. Offshore Wind: Forecasts of future costsCarbon Trust. 2008. Offshore wind power: big challenge, bigfinancial support for offshore wind. Report prepared for the

Bolinger, Mark

2013-01-01T23:59:59.000Z

469

File:NREL-ca-90m-offshore.pdf | Open Energy Information  

Open Energy Info (EERE)

m-offshore.pdf m-offshore.pdf Jump to: navigation, search File File history File usage California - 90 Meter Offshore Wind Speed Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 1.44 MB, MIME type: application/pdf) Description California - 90 Meter Offshore Wind Speed Sources National Renewable Energy Laboratory Related Technologies Wind Creation Date 2010-04-06 Extent State Countries United States UN Region Northern America States California File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:06, 21 December 2010 Thumbnail for version as of 15:06, 21 December 2010 1,275 × 1,650 (1.44 MB) MapBot (Talk | contribs) Automated upload from NREL's "mapsearch" data

470

Web tool for energy policy decision-making through geo-localized LCA models: A focus on offshore wind farms in Northern Europe  

E-Print Network (OSTI)

1 Web tool for energy policy decision-making through geo-localized LCA models: A focus on offshore for 2020. To achieve these objectives, it is necessary for energy policy makers to have a full main objective is to support environ- mental policy regarding wind energy. As a renewable energy source

Paris-Sud XI, Université de

471

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

472

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

473

Low Wind Speed Technology Phase II: Integrated Wind Energy/Desalination System; General Electric Global Research  

SciTech Connect

This fact sheet describes a subcontract with General Electric Global Research to explore wind power as a desirable option for integration with desalination technologies.

Not Available

2006-03-01T23:59:59.000Z

474

On Sudbury-Area Wind SpeedsA Tale of Forest Regeneration  

Science Conference Proceedings (OSTI)

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

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

2007-10-01T23:59:59.000Z

475

On the Maximum Observed Wind Speed in a Randomly Sampled Hurricane  

Science Conference Proceedings (OSTI)

There is considerable interest in detecting a long-term trend in hurricane intensity possibly related to large-scale ocean warming. This effort is complicated by the paucity of wind speed measurements for hurricanes occurring in the early part of ...

Andrew R. Solow

2010-03-01T23:59:59.000Z

476

Optimal Power-Law Description of Oceanic Whitecap Coverage Dependence on Wind Speed  

Science Conference Proceedings (OSTI)

The optimal power-law expression for the dependence of oceanic whitecap coverage fraction W on 10 m elevation wind speed U as determined by ordinary least squares fitting applied to the combined whitecap data sets of Monahan (1971) and Toba and ...

Edward C. Monahan; Iognid Muircheartaigh

1980-12-01T23:59:59.000Z

477

Trends in Wind Speed at Wind Turbine Height of 80 m over the Contiguous United States Using the North American Regional Reanalysis (NARR)  

Science Conference Proceedings (OSTI)

The trends in wind speed at a typical wind turbine hub height (80 m) are analyzed using the North American Regional Reanalysis (NARR) dataset for 19792009. A method, assuming the wind profile in the lower boundary layer as power-law functions of ...

Eric Holt; Jun Wang

2012-12-01T23:59:59.000Z

478

Model of variable speed constant frequency double fed wind power generation system and analysis of its operating performance  

Science Conference Proceedings (OSTI)

Structure of variable speed constant frequency double fed wind power generation system (WPGS) was analyzed, and its model was established. Maximum power point tracking (MPPT) control, constant power control and vector control for WPGS were discussed. ... Keywords: operating performance, variable speed constant frequency, vector control, wind power generation system

Pan Tinglong; Ji Zhicheng

2009-06-01T23:59:59.000Z

479

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

with the section on offshore wind; Donna Heimiller and Billythe end of 2011, global offshore wind power capacity stoodEnergy's investments in offshore wind R&D. Interest exists

Bolinger, Mark

2013-01-01T23:59:59.000Z

480

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

al. 2010. Large-scale Offshore Wind for the United States:assistance with the offshore wind energy discussion; DonnaTechnologies Market Report Offshore Wind Power Project and

Wiser, Ryan

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "offshore 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.


481

Scira Offshore Energy | Open Energy Information  

Open Energy Info (EERE)

United Kingdom Zip NR32 1DE Sector Wind energy Product Developer of the Sheringham Shoals offshore wind farm. References Scira Offshore Energy1 LinkedIn Connections CrunchBase...

482

Doubly Fed Induction Generator in an Offshore Wind Power Plant Operated at Rated V/Hz: Preprint  

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

Doubly Fed Induction Generator Doubly Fed Induction Generator in an Offshore Wind Power Plant Operated at Rated V/Hz Preprint Eduard Muljadi, Mohit Singh, and Vahan Gevorgian To be presented at the IEEE Energy Conversion Congress and Exhibition Raleigh, North Carolina September 15-20, 2012 Conference Paper NREL/CP-5500-55573 June 2012 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance 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. This report was prepared as an account of work sponsored by an agency of the United States government.

483