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1

Capacity Value of Wind Power  

Science Conference Proceedings (OSTI)

Power systems are planned such that they have adequate generation capacity to meet the load, according to a defined reliability target. The increase in the penetration of wind generation in recent years has led to a number of challenges for the planning and operation of power systems. A key metric for system adequacy is the capacity value of generation. The capacity value of a generator is the contribution that a given generator makes to overall system adequacy. The variable and stochastic nature of wind sets it apart from conventional energy sources. As a result, the modeling of wind generation in the same manner as conventional generation for capacity value calculations is inappropriate. In this paper a preferred method for calculation of the capacity value of wind is described and a discussion of the pertinent issues surrounding it is given. Approximate methods for the calculation are also described with their limitations highlighted. The outcome of recent wind capacity value analyses in Europe and North America are highlighted with a description of open research questions also given.

Keane, Andrew; Milligan, Michael; Dent, Chris; Hasche, Bernhard; DAnnunzio, Claudine; Dragoon, Ken; Holttinen, Hannele; Samaan, Nader A.; Soder, Lennart; O'Malley, Mark J.

2011-05-04T23:59:59.000Z

2

Measuring wind plant capacity value  

DOE Green Energy (OSTI)

Electric utility planners and wind energy researchers pose a common question: What is the capacity value of a wind plant? Tentative answers, which can be phrased in a variety of ways, are based on widely varying definitions and methods of calculation. From the utility`s point of view, a resource that has no capacity value also has a reduced economic value. Utility planners must be able to quantify the capacity value of a wind plant so that investment in conventional generating capacity can be potentially offset by the capacity value of the wind plant. Utility operations personnel must schedule its conventional resources to ensure adequate generation to meet load. Given a choice between two resources, one that can be counted on and the other that can`t, the utility will avoid the risky resource. This choice will be reflected in the price that the utility will pay for the capacity: higher capacity credits result in higher payments. This issue is therefore also important to the other side of the power purchase transaction -- the wind plant developer. Both the utility and the developer must accurately assess the capacity value of wind. This article summarizes and evaluates some common methods of evaluating capacity credit. During the new era of utility deregulation in the United States, it is clear that many changes will occur in both utility planning and operations. However, it is my judgement that the evaluation of capacity credit for wind plants will continue to play an important part in renewable energy development in the future.

Milligan, M.R.

1996-01-01T23:59:59.000Z

3

Capacity Value of Wind Power - Summary  

Science Conference Proceedings (OSTI)

Power systems are planned such that they have adequate generation capacity to meet the load, according to a defined reliability target. The increase in the penetration of wind generation in recent years has led to a number of challenges for the planning and operation of power systems. A key metric for generation system adequacy is the capacity value of generation. The capacity value of a generator is the contribution that a given generator makes to generation system aequacy. The variable and stochastic nature of wind sets it apart from conventional energy sources. As a result, the modeling of wind generation in the same manner as conventional generation for capacity value calculations is inappropriate. In this paper a preferred method for calculation of the capacity value of wind is described and a discussion of the pertinent issues surrounding it is given. Approximate methods for the calculation are also described with their limitations highlighted. The outcome of recent wind capacity value analyses in Europe and North America, along with some new analysis, are highlighted with a discussion of relevant issues also given.

O'Malley, M.; Milligan, M.; Holttinen, H.; Dent, C.; Keane, A.

2010-01-01T23:59:59.000Z

4

wind power capacity | OpenEI  

Open Energy Info (EERE)

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

5

Wind Gains ground, hitting 33 GW of installed capacity  

Science Conference Proceedings (OSTI)

The U.S. currently has 33 GW of installed wind capacity. Wind continues to gain ground, accounting for 42 percent of new capacity additions in the US in 2008.Globally, there are now 146 GW of wind capacity with an impressive and sustained growth trajectory that promises to dominate new generation capacities in many developing countries. The U.S., however, lags many European countries, with wind providing roughly 2 percent of electricity generation.

NONE

2010-06-15T23:59:59.000Z

6

Spain Installed Wind Capacity Website | Open Energy Information  

Open Energy Info (EERE)

Spain Installed Wind Capacity Website Spain Installed Wind Capacity Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Spain Installed Wind Capacity Website Focus Area: Renewable Energy Topics: Market Analysis Website: www.gwec.net/index.php?id=131 Equivalent URI: cleanenergysolutions.org/content/spain-installed-wind-capacity-website Language: English Policies: Regulations Regulations: Feed-in Tariffs This website presents an overview of total installed wind energy capacity in Spain per year from 2000 to 2010. The page also presents the main market developments from 2010; a policy summary; a discussion of the revision in feed-in tariffs in 2010; and a future market outlook. References Retrieved from "http://en.openei.org/w/index.php?title=Spain_Installed_Wind_Capacity_Website&oldid=514562"

7

Capacity Requirements to Support Inter-Balancing Area Wind Delivery  

DOE Green Energy (OSTI)

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

Kirby, B.; Milligan, M.

2009-07-01T23:59:59.000Z

8

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

DOE Green Energy (OSTI)

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

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

2006-10-01T23:59:59.000Z

9

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

10

Property:PotentialOnshoreWindCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialOnshoreWindCapacity PotentialOnshoreWindCapacity Jump to: navigation, search Property Name PotentialOnshoreWindCapacity Property Type Quantity Description The nameplate capacity technical potential from Onshore 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

11

Stakeholder Engagement and Outreach: U.S. Installed Wind Capacity  

Wind Powering America (EERE)

Education Education Printable Version Bookmark and Share Learn About Wind About Wind Power Locating Wind Power Getting Wind Power Installed Wind Capacity Wind for Schools Project Collegiate Wind Competition School Project Locations Education & Training Programs Curricula & Teaching Materials Resources Installed Wind Capacity This page has maps of the United States that show installed wind capacity by state and its progression. This map shows the installed wind capacity in megawatts. As of September 30, 2012, 51,630 MW have been installed. Alaska, 16 MW; Hawaii, 112 MW; Washington, 2,699 MW; Oregon, 3,153 MW; California, 4,570 MW; Nevada, 152; Idaho, 675 MW; Utah, 325 MW; Arizona, 238 MW; Montana, 395 MW; Wyoming, 1,410 MW; Colorado, 1,805 MW; New Mexico, 778 MW; North Dakota, 1,469 MW; South Dakota, 784 MW; Nebraska, 337 MW; Kansas, 1,877 MW; Oklahoma, 2,400 MW; Texas, 10,929 MW; Minnesota, 2,717 MW; Iowa, 4,536 MW; Missouri, 459 MW; Wisconsin, 636 MW; Illinois, 3,055 MW; Tennessee, 29 MW; Michigan, 515 MW; Indiana, 1,343 MW; Ohio, 420 MW; West Virginia, 583 MW; Pennsylvania, 1,029 MW; Maryland, 120 MW; Delaware, 2 MW; New Jersey, 9 MW; New York, 1,418 MW; Vermont, 46 MW; New Hampshire, 125 MW; Massachusetts, 64 MW; Rhode Island, 3 MW; Maine, 397 MW.

12

Capacity Building in Wind Energy for PICs  

E-Print Network (OSTI)

of CO2 from fuel combustion · By contrast, the region is very vulnerable to severe weather events (biomass, hydro, and a bit of solar and wind). · Other half comes from imported oil, mainly dependency on petroleum are country specific but include wind, solar, small-scale hydro, biomass

13

Onshore wind max capacity 50.4% - what wind farm, what year? | OpenEI  

Open Energy Info (EERE)

Onshore wind max capacity 50.4% - what wind farm, what year? Onshore wind max capacity 50.4% - what wind farm, what year? Home How can I find more specific information about wind capacity? I can get the max/min/media stuff from the bar graphs. Is there any way to see individual wind farm capacity per year or get examples of performance? I'm helping run a tech site and some specific information would be helpful in dealing with skeptical individuals. Is there any more detailed information on capacity other than the graph summary statistics? (I do not know my way around this site, but I'm willing to learn.) Submitted by Bob Wallace on 15 June, 2013 - 00:23 1 answer Points: 0 Hi Bob- Thank you for posting your question. It seems that your question developed after viewing/using the Transparent Cost Database, however, I

14

OpenEI - wind power capacity  

Open Energy Info (EERE)

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

These estimates are derived from a...

15

Wind turbine cost of electricity and capacity factor  

Science Conference Proceedings (OSTI)

Wind turbines are currently designed to minimize the cost of electricity at the wind turbine (the busbar cost) in a given wind regime, ignoring constraints on the capacity factor (the ratio of the average power output to the maximum power output). The trade-off between these two quantities can be examined in a straightforward fashion; it is found that the capacity factor can be increased by a factor of 30 percent above its value at the cost minimum for a ten percent increase in the busbar cost of electricity. This has important implications for the large-scale integration of wind electricity on utility grids where the cost of transmission may be a significant fraction of the cost of delivered electricity, or where transmission line capacity may be limited.

Cavallo, A.J. [Cavallo (A.J.), Princeton, NJ (United States)

1997-11-01T23:59:59.000Z

16

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

DOE Green Energy (OSTI)

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

Milligan, M.; Porter, K.

2008-06-01T23:59:59.000Z

17

Wind industry installs almost 5,300 MW of capacity in December ...  

U.S. Energy Information Administration (EIA)

Approximately 40% of the total 2012 wind capacity additions (12,620 MW) came online in December, just before the scheduled expiration of the wind production tax ...

18

Capacity Value of Wind Plants and Overview of U.S. Experience (Presentation)  

DOE Green Energy (OSTI)

This presentation provides an overview and summary of the capacity value of wind power plants, based primarily on the U.S. experience. Resource adequacy assessment should explicitly consider risk. Effective load carrying capability (ELCC) captures each generators contribution to resource adequacy. On their own, reserve margin targets as a percent of peak can't capture risks effectively. Recommend benchmarking reliability-based approaches with others.

Milligan, M.

2011-08-01T23:59:59.000Z

19

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

DOE Green Energy (OSTI)

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

Kirby, B.; Milligan, M.

2008-07-01T23:59:59.000Z

20

36 SEPTEMBER | 2012 WiNd TURbiNE CAPACiTY  

E-Print Network (OSTI)

36 SEPTEMBER | 2012 WiNd TURbiNE CAPACiTY FRONTiER FROM SCAdA ThE WORld hAS SEEN A significant contributor to this growth. The wind turbine generated energy depends on the wind potential and the turbine of wind turbines. Supervi- sory control and data acquisition (SCADA) systems record wind turbine

Kusiak, Andrew

Note: This page contains sample records for the topic "wind capacity targets" 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

Dynamic valuation model For wind development in regard to land value, proximity to transmission lines, and capacity factor  

E-Print Network (OSTI)

Developing a wind farm involves many variables that can make or break the success of a potential wind farm project. Some variables such as wind data (capacity factor, wind rose, wind speed, etc.) are readily available in ...

Nikandrou, Paul

2009-01-01T23:59:59.000Z

22

Wind capacity additions slowed during 2010 - Today in Energy - U.S ...  

U.S. Energy Information Administration (EIA)

Growth in wind-powered electric generating capacity slowed in 2010, increasing by 11% from 2009 after increasing 40% on an average annual basis from 2005-2009.

23

Wind industry installs almost 5,300 MW of capacity in ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual ... Search EIA.gov. ... Wind plant developers reported throughout 2012 increasing amounts of new capacity scheduled ...

24

Increasing wind capacity requires new approaches to electricity ...  

U.S. Energy Information Administration (EIA)

Electric power generation from wind is increasing rapidly in the United States. Wind power is attractive for its lack of emissions and low operating costs, but its ...

25

Wind generating capacity is distributed unevenly across the United ...  

U.S. Energy Information Administration (EIA)

The highest concentration of wind turbines in the United States is in the Great Plains states, where the best conditions for onshore wind power generation exist.

26

Capacity Value of PV and Wind Generation in the NV Energy System  

Science Conference Proceedings (OSTI)

Calculation of photovoltaic (PV) and wind power capacity values is important for estimating additional load that can be served by new PV or wind installations in the electrical power system. It also is the basis for assigning capacity credit payments in systems with markets. Because of variability in solar and wind resources, PV and wind generation contribute to power system resource adequacy differently from conventional generation. Many different approaches to calculating PV and wind generation capacity values have been used by utilities and transmission operators. Using the NV Energy system as a study case, this report applies peak-period capacity factor (PPCF) and effective load carrying capability (ELCC) methods to calculate capacity values for renewable energy sources. We show the connection between the PPCF and ELCC methods in the process of deriving a simplified approach that approximates the ELCC method. This simplified approach does not require generation fleet data and provides the theoretical basis for a quick check on capacity value results of PV and wind generation. The diminishing return of capacity benefit as renewable generation increases is conveniently explained using the simplified capacity value approach.

Lu, Shuai; Diao, Ruisheng; Samaan, Nader A.; Etingov, Pavel V.

2012-09-01T23:59:59.000Z

27

Targeted Observations with an Airborne Wind Lidar  

Science Conference Proceedings (OSTI)

This study investigates the possibilities and limitations of airborne Doppler lidar for adaptive observations over the Atlantic Ocean. For the first time, a scanning 2-?m Doppler lidar was applied for targeted measurements during the Atlantic ...

M. Weissmann; R. Busen; A. Drnbrack; S. Rahm; O. Reitebuch

2005-11-01T23:59:59.000Z

28

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

29

Capacity Assessment of a Transmission Tower under Wind Loading.  

E-Print Network (OSTI)

??Transmission towers play a vital role in power distribution networks and are often subject to strong wind loads. Lattice tower design is often based on (more)

Mara, Thomas G

2013-01-01T23:59:59.000Z

30

Multi-Objective Capacity Planning of a Pv-Wind-Diesel-Battery Hybrid Power System  

E-Print Network (OSTI)

A new solution methodology of the capacity design problem of a PV-Wind-Diesel-Battery Hybrid Power System (HPS) is presented. The problem is formulated as a Linear Programming (LP) model with two objectives: minimizing ...

Saif, A.

31

An examination of capacity and ramping impacts of wind energy on power systems  

Science Conference Proceedings (OSTI)

When wind serves load outside of the host balancing area, there can be additional capacity requirements - mitigated by faster markets and exacerbated by slower markets. A series of simple thought experiments is useful in illustrating the implications for wind integration studies. (author)

Kirby, Brendan; Milligan, Michael

2008-08-15T23:59:59.000Z

32

Investment Timing and Capacity Choice for Small-Scale Wind PowerUnder Uncertainty  

DOE Green Energy (OSTI)

This paper presents a method for evaluation of investments in small-scale wind power under uncertainty. It is assumed that the price of electricity is uncertain and that an owner of a property with wind resources has a deferrable opportunity to invest in one wind power turbine within a capacity range. The model evaluates investment in a set of projects with different capacity. It is assumed that the owner substitutes own electricity load with electricity from the wind mill and sells excess electricity back to the grid on an hourly basis. The problem for the owner is to find the price levels at which it is optimal to invest, and in which capacity to invest. The results suggests it is optimal to wait for significantly higher prices than the net present value break-even. Optimal scale and timing depend on the expected price growth rate and the uncertainty in the future prices.

Fleten, Stein-Erik; Maribu, Karl Magnus

2004-11-28T23:59:59.000Z

33

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

DOE Green Energy (OSTI)

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

Milligan, M.; Porter, K.

2005-05-01T23:59:59.000Z

34

Portfolio Revenues in a Changing Power Infrastructure: Responses of Existing Generation to New Wind Capacity  

Science Conference Proceedings (OSTI)

Owners of generating units must frequently reevaluate the financial and physical operations of their units in order to assess impacts of changing business regulatory conditions and to consider how investments to improve efficiency, flexibility, and emissions will perform. A little understood development now occurring is growth in wind capacity in response to state renewable performance standards. This report describes a case study of how new wind generation can affect the revenues and operation of existi...

2004-12-27T23:59:59.000Z

35

High Wind Penetration Impact on U.S. Wind Manufacturing Capacity...  

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

steel demanded by eliminating the gearbox. Assuming 1400 kgMW copper for a direct drive generator with permanent magnets, 579 GW of capacity would require 782,000 tonnes of...

36

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

Wind Powering America (EERE)

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

37

Investment Timing and Capacity Choice for Small-Scale Wind Power Under Uncertainty  

E-Print Network (OSTI)

INVESTMENT TIMING AND CAPACITY CHOICE FOR SMALL-SCALE WINDvalue as a func- tion of capacity is declining because ais reduced with increased capacity. A possible approach for

Fleten, Stein-Erik; Maribu, Karl Magnus

2004-01-01T23:59:59.000Z

38

Investment Timing and Capacity Choice for Small-Scale Wind Power Under Uncertainty  

E-Print Network (OSTI)

REFERENCES [1] American Wind Power Association (AWEA), Road-CHOICE FOR SMALL-SCALE WIND POWER UNDER UNCERTAINTY Stein-Power production from wind power has stochastic inflows, and

Fleten, Stein-Erik; Maribu, Karl Magnus

2004-01-01T23:59:59.000Z

39

DOE Announces Effort to Advance U.S. Wind Power Manufacturing Capacity  

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

MOU Launches Government-Industry Effort to Define and Develop Technologies and Siting Strategies Necessary to Achieve 20% Wind Energy by 2030...

40

Investment Timing and Capacity Choice for Small-Scale Wind Power Under Uncertainty  

E-Print Network (OSTI)

Scott Distributed power generation (New York, Marcel Dekker,the renewable share of power generation. The American Windin small-scale wind power generation, as well as the choice

Fleten, Stein-Erik; Maribu, Karl Magnus

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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

The Economic Implications of Adding Wind Capacity to a Bulk Power Transmission Network  

E-Print Network (OSTI)

for electricity are determined by the cost of the most expensive generating units in the market. Hence, the savings in fuel costs due to wind generation will only be passed on to customers through the wholesale-optimization framework to determine the net economic benefit of adding an intrinsically intermittent source of generation

42

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

and K. Porter. 2011. Wind Power and Electricity Markets.41 6. Wind Power Priceat Various Levels of Wind Power Capacity Penetration Wind

Bolinger, Mark

2013-01-01T23:59:59.000Z

43

Application of Ensemble Sensitivity Analysis to Observation Targeting for Short-term Wind Speed Forecasting  

Science Conference Proceedings (OSTI)

The operators of electrical grids, sometimes referred to as Balancing Authorities (BA), typically make critical decisions on how to most reliably and economically balance electrical load and generation in time frames ranging from a few minutes to six hours ahead. At higher levels of wind power generation, there is an increasing need to improve the accuracy of 0- to 6-hour ahead wind power forecasts. Forecasts on this time scale have typically been strongly dependent on short-term trends indicated by the time series of power production and meteorological data from a wind farm. Additional input information is often available from the output of Numerical Weather Prediction (NWP) models and occasionally from off-site meteorological towers in the region surrounding the wind generation facility. A widely proposed approach to improve short-term forecasts is the deployment of off-site meteorological towers at locations upstream from the wind generation facility in order to sense approaching wind perturbations. While conceptually appealing, it turns out that, in practice, it is often very difficult to derive significant benefit in forecast performance from this approach. The difficulty is rooted in the fact that the type, scale, and amplitude of the processes controlling wind variability at a site change from day to day if not from hour to hour. Thus, a location that provides some useful forecast information for one time may not be a useful predictor a few hours later. Indeed, some processes that cause significant changes in wind power production operate predominantly in the vertical direction and thus cannot be monitored by employing a network of sensors at off-site locations. Hence, it is very challenging to determine the type of sensors and deployment locations to get the most benefit for a specific short-term forecast application. Two tools recently developed in the meteorological research community have the potential to help determine the locations and parameters to measure in order to get the maximum positive impact on forecast performance for a particular site and short-term look-ahead period. Both tools rely on the use of NWP models to assess the sensitivity of a forecast for a particular location to measurements made at a prior time (i.e. the look-ahead period) at points surrounding the target location. The fundamental hypothesis is that points and variables with high sensitivity are good candidates for measurements since information at those points are likely to have the most impact on the forecast for the desired parameter, location and look-ahead period. One approach is called the adjoint method (Errico and Vukicevic, 1992; Errico, 1997) and the other newer approach is known as Ensemble Sensitivity Analysis (ESA; Ancell and Hakim 2007; Torn and Hakim 2008). Both approaches have been tested on large-scale atmospheric prediction problems (e.g. forecasting pressure or precipitation over a relatively large region 24 hours ahead) but neither has been applied to mesoscale space-time scales of winds or any other variables near the surface of the earth. A number of factors suggest that ESA is better suited for short-term wind forecasting applications. One of the most significant advantages of this approach is that it is not necessary to linearize the mathematical representation of the processes in the underlying atmospheric model as required by the adjoint approach. Such a linearization may be especially problematic for the application of short-term forecasting of boundary layer winds in complex terrain since non-linear shifts in the structure of boundary layer due to atmospheric stability changes are a critical part of the wind power production forecast problem. The specific objective of work described in this paper is to test the ESA as a tool to identify measurement locations and variables that have the greatest positive impact on the accuracy of wind forecasts in the 0- to 6-hour look-ahead periods for the wind generation area of California's Tehachapi Pass during the warm (high generation) season. The paper is organized

Zack, J; Natenberg, E; Young, S; Manobianco, J; Kamath, C

2010-02-21T23:59:59.000Z

44

Application of Ensemble Sensitivity Analysis to Observation Targeting for Short-term Wind Speed Forecasting  

DOE Green Energy (OSTI)

The operators of electrical grids, sometimes referred to as Balancing Authorities (BA), typically make critical decisions on how to most reliably and economically balance electrical load and generation in time frames ranging from a few minutes to six hours ahead. At higher levels of wind power generation, there is an increasing need to improve the accuracy of 0- to 6-hour ahead wind power forecasts. Forecasts on this time scale have typically been strongly dependent on short-term trends indicated by the time series of power production and meteorological data from a wind farm. Additional input information is often available from the output of Numerical Weather Prediction (NWP) models and occasionally from off-site meteorological towers in the region surrounding the wind generation facility. A widely proposed approach to improve short-term forecasts is the deployment of off-site meteorological towers at locations upstream from the wind generation facility in order to sense approaching wind perturbations. While conceptually appealing, it turns out that, in practice, it is often very difficult to derive significant benefit in forecast performance from this approach. The difficulty is rooted in the fact that the type, scale, and amplitude of the processes controlling wind variability at a site change from day to day if not from hour to hour. Thus, a location that provides some useful forecast information for one time may not be a useful predictor a few hours later. Indeed, some processes that cause significant changes in wind power production operate predominantly in the vertical direction and thus cannot be monitored by employing a network of sensors at off-site locations. Hence, it is very challenging to determine the type of sensors and deployment locations to get the most benefit for a specific short-term forecast application. Two tools recently developed in the meteorological research community have the potential to help determine the locations and parameters to measure in order to get the maximum positive impact on forecast performance for a particular site and short-term look-ahead period. Both tools rely on the use of NWP models to assess the sensitivity of a forecast for a particular location to measurements made at a prior time (i.e. the look-ahead period) at points surrounding the target location. The fundamental hypothesis is that points and variables with high sensitivity are good candidates for measurements since information at those points are likely to have the most impact on the forecast for the desired parameter, location and look-ahead period. One approach is called the adjoint method (Errico and Vukicevic, 1992; Errico, 1997) and the other newer approach is known as Ensemble Sensitivity Analysis (ESA; Ancell and Hakim 2007; Torn and Hakim 2008). Both approaches have been tested on large-scale atmospheric prediction problems (e.g. forecasting pressure or precipitation over a relatively large region 24 hours ahead) but neither has been applied to mesoscale space-time scales of winds or any other variables near the surface of the earth. A number of factors suggest that ESA is better suited for short-term wind forecasting applications. One of the most significant advantages of this approach is that it is not necessary to linearize the mathematical representation of the processes in the underlying atmospheric model as required by the adjoint approach. Such a linearization may be especially problematic for the application of short-term forecasting of boundary layer winds in complex terrain since non-linear shifts in the structure of boundary layer due to atmospheric stability changes are a critical part of the wind power production forecast problem. The specific objective of work described in this paper is to test the ESA as a tool to identify measurement locations and variables that have the greatest positive impact on the accuracy of wind forecasts in the 0- to 6-hour look-ahead periods for the wind generation area of California's Tehachapi Pass during the warm (high generation) season. The paper is organized

Zack, J; Natenberg, E; Young, S; Manobianco, J; Kamath, C

2010-02-21T23:59:59.000Z

45

The impact of electricity market schemes on predictability being a decision factor in the wind farm  

E-Print Network (OSTI)

sources. Wind energy is anticipated to be a major contributor to this target with an installed capacity (see [1]). Such large-scale integration of wind energy raises several challenges in operating #12;References [1] A report by the European Wind Energy Association EWEA. Pure power wind energy

46

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

DOE Green Energy (OSTI)

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

Rogers, J.; Porter, K.

2012-03-01T23:59:59.000Z

47

Methyl-parathion decreases sperm function and fertilization capacity after targeting spermatocytes and maturing spermatozoa  

Science Conference Proceedings (OSTI)

Paternal germline exposure to organophosphorous pesticides (OP) has been associated with reproductive failures and adverse effects in the offspring. Methyl parathion (Me-Pa), a worldwide-used OP, has reproductive adverse effects and is genotoxic to sperm. Oxidative damage has been involved in the genotoxic and reproductive effects of OP. The purpose of this study was to determine the effects of Me-Pa on spermatozoa function and ability to fertilize. Male mice were exposed to Me-Pa (20 mg/kg bw, i.p.) and spermatozoa from epididymis-vas deferens were collected at 7 or 28 days post-treatment (dpt) to assess the effects on maturing spermatozoa and spermatocytes, respectively. DNA damage was evaluated by nick translation (NT-positive cells) and SCSA (percentDFI); lipoperoxidation (LPO) by malondialdehyde production; sperm function by spontaneous- and induced-acrosome reactions (AR); mitochondrial membrane potential (MMP) by using the JC-1 flurochrome; and, fertilization ability by an in vitro assay and in vivo mating. Results showed alterations in DNA integrity (percentDFI and NT-positive cells) at 7 and 28 dpt, in addition to decreased sperm quality and a decrease in induced-AR; reduced MMP and LPO was observed only at 7 dpt. We found negative correlations between LPO and all sperm alterations. Altered sperm functional parameters were associated with reduced fertilization rates at both times, evaluated either in vitro or in vivo. These results show that Me-Pa exposure of maturing spermatozoa and spermatocytes affects many sperm functional parameters that result in a decreased fertilizing capacity. Oxidative stress seems to be a likely mechanism ofthe detrimental effects of Me-Pa in male germ cells.

Pina-Guzman, Belem; Sanchez-Gutierrez, M.; Marchetti, Francesco; Hernandez-Ochoa, I.; Solis-Heredia, M.J .; Quintanilla-Vega, B.

2009-05-03T23:59:59.000Z

48

Wind Energy  

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

FUPWG Meeting FUPWG Meeting NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy operated by the Alliance for Sustainable Energy, LLC Robi Robichaud November 18, 2009 Topics Introduction Review of the Current Wind Market Drivers for Wind Development Siting g Issues Wind Resource Assessment Wind Characteristics Wind Power Potential Basic Wind Turbine Theory Basic Wind Turbine Theory Types of Wind Turbines Facts About Wind Siting Facts About Wind Siting Wind Performance 1. United States: MW 1 9 8 2 1 9 8 3 1 9 8 4 1 9 8 5 1 9 8 6 1 9 8 7 1 9 8 8 1 9 8 9 1 9 9 0 1 9 9 1 1 9 9 2 1 9 9 3 1 9 9 4 1 9 9 5 1 9 9 6 1 9 9 7 1 9 9 8 1 9 9 9 2 0 0 0 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 2 0 0 6 2 0 0 7 2 0 0 8 Current Status of the Wind Industry Total Global Installed Wind Capacity Total Global Installed Wind Capacity Total Global Installed Wind Capacity

49

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

market for new wind power additions in 2011. India, Germany,wind-powered generating sets were: Denmark (42%), Spain (16%), Japan (13%), India (Wind Power Capacity Annual Capacity (2011, MW) China U.S. India

Bolinger, Mark

2013-01-01T23:59:59.000Z

50

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

wind-powered generating sets were: Denmark (41%), Spain (17%), Japan (14%), India (Wind Power Capacity Annual Capacity (2010, MW) China U.S. Indiawind capacity additions in 2010 would have shrunk considerably relative to 2009. India,

Wiser, Ryan

2012-01-01T23:59:59.000Z

51

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

U.S. Energy Information Administration (EIA) Indexed Site

TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

52

Economic Impacts of Wind Turbine Development in U.S. Counties  

E-Print Network (OSTI)

15 percent)). Cumulative wind turbine capacity installed inper capita income of wind turbine development (measured inour sample, cumulative wind turbine capacity on a per person

J., Brown

2012-01-01T23:59:59.000Z

53

Environmental Energy Technologies Division Energy Analysis Department Community Wind Power  

E-Print Network (OSTI)

Environmental Energy Technologies Division · Energy Analysis Department Community Wind Power projects * standard US commercial wind development #12;Environmental Energy Technologies Division · Energy % Community- Owned Community- Owned Wind Capacity (MW) Total Wind Capacity (MW) #12;Environmental Energy

54

NREL: Wind Research - Wind Powering America Hosts 12th Annual...  

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

Wind Powering America Hosts 12th Annual All-States Summit: A Wind Powering America Success Story May 21, 2013 In 2012, the wind energy industry saw great expansion in capacity as...

55

New England Wind Forum: Wind Power Economics  

Wind Powering America (EERE)

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

56

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

57

Renewable Energy RFPs: Solicitation Response and Wind Contract Prices  

E-Print Network (OSTI)

Energy RFPs: Solicitation Response and Wind Contract Pricesenergy capacity (especially wind). Though detailed information on bid prices

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

58

Wind Farm Feasibility Study  

Science Conference Proceedings (OSTI)

Saint Francis University has assessed the Swallow Farm property located in Shade Township, Somerset County, Pennsylvania as a potential wind power development site. Saint Francis worked with McLean Energy Partners to have a 50-meter meteorological tower installed on the property in April 2004 and continues to conduct a meteorological assessment of the site. Results suggest a mean average wind speed at 80 meters of 17 mph with a net capacity factor of 31 - 33%. Approximate electricity generation capacity of the project is 10 megawatts. Also, the University used matching funds provided by the federal government to contract with ABR, Inc. to conduct radar studies of nocturnal migration of birds and bats during the migrations seasons in the Spring and Fall of 2005 with a mean nocturnal flight altitude of 402 meters with less than 5% of targets at altitudes of less than 125 meters. The mean nocturnal passage rate was 166 targets/km/h in the fall and 145 targets/km/h in the spring. Lastly, University faculty and students conducted a nesting bird study May - July 2006. Seventy-three (73) species of birds were observed with 65 determined to be breeding or potentially breeding species; this figure represents approximately 30% of the 214 breeding bird species in Pennsylvania. No officially protected avian species were determined to be nesting at Swallow Farm.

Richard Curry; Erik Foley; DOE Project Officer - Keith Bennett

2007-07-11T23:59:59.000Z

59

Wind Power: How Much, How Soon, and At What Cost?  

E-Print Network (OSTI)

Wind Power Capacity Incremental Capacity (2007, MW) United States China Spain Germany Indiaand India (Table 3). With major development now occurring on several continents, wind

Wiser, Ryan H

2010-01-01T23:59:59.000Z

60

Wind energy | Open Energy Information  

Open Energy Info (EERE)

(Redirected from Wind) (Redirected from Wind) Jump to: navigation, search Wind energy is a form of solar energy.[1] Wind energy (or wind power) describes the process by which wind is used to generate electricity. Wind turbines convert the kinetic energy in the wind into mechanical power. A generator can convert mechanical power into electricity[2]. Mechanical power can also be utilized directly for specific tasks such as pumping water. The US DOE developed a short wind power animation that provides an overview of how a wind turbine works and describes the wind resources in the United States. Contents 1 Wind Energy Basics 1.1 Equation for Wind Power 2 DOE Wind Programs and Information 3 Worldwide Installed Capacity 3.1 United States Installed Capacity 4 Wind Farm Development 4.1 Land Requirements

Note: This page contains sample records for the topic "wind capacity targets" 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

Target  

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

Lifetime measurements in Lifetime measurements in inverse kinematics Coulex Target e.g. C Stopper e.g. Cu Beam X X * C Si-Det. Yale Plunger 120 Te at 300 MeV Plunger foils Si-Detector Compton-suppressed Clover detectors (8) 50% Coulomb- barrier )] ( exp[ 1 ) ( 0 d d d P - - - = λ Probability of emitting gamma-ray while in-flight: From data: ) ( ) ( ) ( ) ( ) ( d I d I d P total shifted γ γ = where ) ( ) ( γ γ γ γ θ ε W E N I = Lifetime analysis For example: Valence proton symmetry Data from NNDC, WNSL ( 120 Te), NBI group ( 116 Te), Cologne ( 114 Te) B(E2)up [e 2 b 2 ] N A.A. Pasternak et al., EPJA 13, 435 (2002) O. Möller et al., PRC 71, 064324 (2005) Study deviations from (collective) expectations -> needs a fast and easy way to obtain data -> inverse RDDS well suited! Important in inverse kinematics: Deorientation F I J Large v/c => except for relativistic

62

Capacity Value of Solar Power  

Science Conference Proceedings (OSTI)

Evaluating the capacity value of renewable energy sources can pose significant challenges due to their variable and uncertain nature. In this paper the capacity value of solar power is investigated. Solar capacity value metrics and their associated calculation methodologies are reviewed and several solar capacity studies are summarized. The differences between wind and solar power are examined, the economic importance of solar capacity value is discussed and other assessments and recommendations are presented.

Duignan, Roisin; Dent, Chris; Mills, Andrew; Samaan, Nader A.; Milligan, Michael; Keane, Andrew; O'Malley, Mark

2012-11-10T23:59:59.000Z

63

RELIABILITY OF WIND POWER FROM DISPERSED SITES: A PRELIMINARY ASSESSMENT  

E-Print Network (OSTI)

Coincidence of Demand and Wind Resource Diurnal PowerOutput Variations for Three Wind Regimes List of TablesCAPACITY CREDIT FOR WIND ARRAYS: THE PROBLEM . . . . . . .

Kahn, E.

2011-01-01T23:59:59.000Z

64

Factors driving wind power development in the United States  

E-Print Network (OSTI)

1: CUMULATIVE U.S. WIND ENERGY CAPACITY policies and broadof wind energy development, resource potential, and policythe states tax policy, the Mountaineer Wind Energy Center

Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

2003-01-01T23:59:59.000Z

65

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

66

Factors driving wind power development in the United States  

E-Print Network (OSTI)

s Largest Purchase of Wind Power, September 17, 2001.FACTORS DRIVING WIND POWER DEVELOPMENT IN THE UNITED STATESthe United States third in wind power capacity globally,

Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

2003-01-01T23:59:59.000Z

67

Observation Targeting for the Tehachapi Pass and Mid-Columbia Basin: WindSENSE Phase III Project Summary Report  

DOE Green Energy (OSTI)

The overall goal of this multi-phased research project known as WindSENSE is to develop an observation system deployment strategy that would improve wind power generation forecasts. The objective of the deployment strategy is to produce the maximum benefit for 1- to 6-hour ahead forecasts of wind speed at hub-height ({approx}80 m). In Phase III of the project, the focus was on the Mid-Columbia Basin region which encompasses the Bonneville Power Administration (BPA) wind generation area shown in Figure 1 that includes Klondike, Stateline, and Hopkins Ridge wind plants. The typical hub height of a wind turbine is approximately 80-m above ground level (AGL). So it would seem that building meteorological towers in the region upwind of a wind generation facility would provide data necessary to improve the short-term forecasts for the 80-m AGL wind speed. However, this additional meteorological information typically does not significantly improve the accuracy of the 0- to 6-hour ahead wind power forecasts because processes controlling wind variability change from day-to-day and, at times, from hour-to-hour. It is also important to note that some processes causing significant changes in wind power production function principally in the vertical direction. These processes will not be detected by meteorological towers at off-site locations. For these reasons, it is quite challenging to determine the best type of sensors and deployment locations. To address the measurement deployment problem, Ensemble Sensitivity Analysis (ESA) was applied in the Phase I portion of the WindSENSE project. The ESA approach was initially designed to produce spatial fields that depict the sensitivity of a forecast metric to a set of prior state variables selected by the user. The best combination of variables and locations to improve the forecast was determined using the Multiple Observation Optimization Algorithm (MOOA) developed in Phase I. In Zack et al. (2010a), the ESA-MOOA approach was applied and evaluated for the wind plants in the Tehachapi Pass region for a period during the warm season. That research demonstrated that forecast sensitivity derived from the dataset was characterized by well-defined, localized patterns for a number of state variables such as the 80-m wind and the 25-m to 1-km temperature difference prior to the forecast time. The sensitivity patterns produced as part of the Tehachapi Pass study were coherent and consistent with the basic physical processes that drive wind patterns in the Tehachapi area. In Phase II of the WindSENSE project, the ESA-MOOA approach was extended and applied to the wind plants located in the Mid-Columbia Basin wind generation area of Washington-Oregon during the summer and to the Tehachapi Pass region during the winter. The objective of this study was to identify measurement locations and variables that have the greatest positive impact on the accuracy of wind forecasts in the 0- to 6-hour look-ahead periods for the two regions and to establish a higher level of confidence in ESA-MOOA for mesoscale applications. The detailed methodology and results are provided in separate technical reports listed in the publications section below. Ideally, the data assimilation scheme used in the Phase III experiments would have been based upon an ensemble Kalman filter (EnKF) that was similar to the ESA method used to diagnose the Mid-Columbia Basin sensitivity patterns in the previous studies. However, running an EnKF system at high resolution is impractical because of the very high computational cost. Thus, it was decided to use a three-dimensional variational (3DVAR) analysis scheme that is less computationally intensive. The objective of this task is to develop an observation system deployment strategy for the mid Columbia Basin (i.e. the BPA wind generation region) that is designed to produce the maximum benefit for 1- to 6-hour ahead forecasts of hub-height ({approx}80 m) wind speed with a focus on periods of large changes in wind speed. There are two tasks in the current project effort designed to validate

Hanley, D

2011-10-22T23:59:59.000Z

68

Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest  

E-Print Network (OSTI)

1992). Capacity credit of wind power in the Netherlands. the capacity credit of wind power in the presence ofSimulating Long-Term Wind- Power Output. Wind Engineering

Fripp, Matthias; Wiser, Ryan

2006-01-01T23:59:59.000Z

69

ORISE: Capacity Building  

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

Capacity Building Capacity Building Because public health agencies must maintain the resources to respond to public health challenges, critical situations and emergencies, the Oak Ridge Institute for Science and Education (ORISE) helps government agencies and organizations develop a solid infrastructure through capacity building. Capacity building refers to activities that improve an organization's ability to achieve its mission or a person's ability do his or her job more effectively. For organizations, capacity building may relate to almost any aspect of its work-from leadership and administration to program development and implementation. Strengthening an organizational infrastructure can help agencies and community-based organizations more quickly identify targeted audiences for

70

Stakeholder Engagement and Outreach: Learn About Wind  

Wind Powering America (EERE)

About Wind Power Locating Wind Power Getting Wind Power Installed Wind Capacity Wind for Schools Project Collegiate Wind Competition School Project Locations Education & Training Programs Curricula & Teaching Materials Resources Learn About Wind Learn about how wind energy generates power; where the best wind resources are; how you can own, host, partner with, and support wind power; and how and where wind energy has increased over the past decade. What Is Wind Power? Learn about how wind energy generates power, about wind turbine sizes and how wind turbines work, and how wind energy can be used. Also read examples of financial and business decisions. Where Is Wind Power? Go to maps to see the wind resource for utility-, community-, and residential-scale wind development. Or, see how much energy wind projects

71

On the Effective Capacity of the Dense-Water Reservoir for the Nordic Seas Overflow: Some Effects of Topography and Wind Stress  

Science Conference Proceedings (OSTI)

The overflow of the dense water mass across the GreenlandScotland Ridge (GSR) from the Nordic Seas drives the Atlantic meridional overturning circulation (AMOC). The Nordic Seas is a large basin with an enormous reservoir capacity. The volume of ...

Jiayan Yang; Lawrence J. Pratt

2013-02-01T23:59:59.000Z

72

Advanced Coal Wind Hybrid: Economic Analysis  

E-Print Network (OSTI)

Wind Power Installation, Cost, and Performance Trend: 2007 Office of Renewable Energycost of the additional capacity required to make the capacity contributions per unit of energy produced by wind

Phadke, Amol

2008-01-01T23:59:59.000Z

73

Definition: Small Scale Wind | Open Energy Information  

Open Energy Info (EERE)

Small scale wind projects are typically defined as projects with capacity ratings of 1 - 100 kW.1 View on Wikipedia Wikipedia Definition Related Terms wind power, wind energy,...

74

NREL: Wind Research - Midsize Wind Turbine Research  

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

Midsize Wind Turbine Research Midsize Wind Turbine Research To facilitate the development and commercialization of midsize wind turbines (turbines with a capacity rating of more than 100 kW up to 1 MW), the U.S. Department of Energy (DOE) and NREL launched the Midsize Wind Turbine Development Project. In its latest study, NREL determined that there is a substantial market for midsize wind turbines. One of the most significant barriers to the midsize turbine market is the lack of turbines available for deployment; there are few midsize turbines on the market today. The objectives of the Midsize Wind Turbine Development Project are to reduce the barriers to wind energy expansion by filling an existing domestic technology gap; facilitate partnerships; accelerate maturation of existing U.S. wind energy businesses; and incorporate process improvement

75

Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest  

E-Print Network (OSTI)

1992). Capacity credit of wind power in the Netherlands. modeling as a tool for wind resource assessment andBurton, T. , et al. (2001). Wind Energy Handbook, John

Fripp, Matthias; Wiser, Ryan

2006-01-01T23:59:59.000Z

76

Analyzing the Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest  

E-Print Network (OSTI)

7 2.2.3 Wind Farm Production1. Rated Capacity of Wind Farms for which Monthly Productionpower from potential wind farm locations in California and

Fripp, Matthias; Wiser, Ryan

2006-01-01T23:59:59.000Z

77

WREF 2012: THE PAST AND FUTURE COST OF WIND ENERGY  

E-Print Network (OSTI)

Renewable Energy Outlook 2030 Energy Watch Group GlobalTargets for 2020 and 2030. Brussels, Belgium: European Wind2008). 20% Wind Energy by 2030: Increasing Wind Energy's

Wiser, Ryan

2013-01-01T23:59:59.000Z

78

WREF 2012: THE PAST AND FUTURE COST OF WIND ENERGY  

E-Print Network (OSTI)

2009). Technology Roadmap Wind Energy. Paris, France:EWEA. (2011). Pure Power Wind Energy Targets for 2020 andBelgium: European Wind Energy Association (19) Electric

Wiser, Ryan

2013-01-01T23:59:59.000Z

79

Wind Energy Developments: Incentives In Selected Countries  

Reports and Publications (EIA)

This paper discusses developments in wind energy for the countries with significant wind capacity. After a brief overview of world capacity, it examines development trends, beginning with the United States - the number one country in wind electric generation capacity until 1997.

Information Center

1999-02-01T23:59:59.000Z

80

20% Wind Energy by 2030  

DOE Green Energy (OSTI)

This analysis explores one clearly defined scenario for providing 20% of our nations electricity demand with wind energy by 2030 and contrasts it to a scenario of no new wind power capacity.

Not Available

2008-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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

Survey of Wind Integration Study Results  

Science Conference Proceedings (OSTI)

The worldwide installed wind generation capacity increased by 25% during 2006 and reached almost 74,000 MW worldwide by the end of the year. This rapid growth is forecasted to continue for several years and result in large regional concentrations of wind generation capacity. An increasing amount of this wind energy is expected to come from offshore wind plants, especially in Europe. Because wind generation is an intermittent resource, and can not be dispatched, wind energy will affect the operation of th...

2007-03-19T23:59:59.000Z

82

Wind Power Development in the United States: Current Progress, Future Trends  

E-Print Network (OSTI)

and India. The technology has matured and, in good windWind Power Capacity Incremental Capacity (2007, MW) United States China Spain Germany India

Wiser, Ryan H

2009-01-01T23:59:59.000Z

83

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

DOE Green Energy (OSTI)

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

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

2001-09-21T23:59:59.000Z

84

Nitrogen isotopes in the recent solar wind from the analysis of genesis targets: evidence for large scale isotope heterogeneity in the nascent solar system  

DOE Green Energy (OSTI)

Nitrogen, the fifth most abundant element in the universe, displays the largest stable isotope variations in the solar system reservoirs after hydrogen. Yet the value of isotopic composition of solar nitrogen, presumably the best proxy of the protosolar nebula composition, is not known. Nitrogen isotopes trapped in Genesis spacecraft target material indicate a 40 % depletion of {sup 15}N in solar wind N relative to inner planets and meteorites, and define a composition for the present-day Sun undistinguishable from that of Jupiter's atmosphere. These results indicate that the isotopic composition of of nitrogen in the outer convective zone of the Sun (OCZ) has not changed through time, and is representative of the protosolar nebula. Large {sup 15}N enrichments during e.g., irradiation, or contributions from {sup 15}N-rich presolar components, are required to account for planetary values.

Wiens, Roger C [Los Alamos National Laboratory; Marty, Bernard [INSU-CNRS; Zimmermann, Laurent [INSU-CNRS; Burnard, Peter G [INSU-CNRS; Burnett, Donald L [CALTECH; Heber, Veronika S [ETH ZURICH; Wieler, Rainer [ETH ZURICH; Bochsler, Peter [UNIV OV BERN

2009-01-01T23:59:59.000Z

85

Use of wind power forecasting in operational decisions.  

DOE Green Energy (OSTI)

The rapid expansion of wind power gives rise to a number of challenges for power system operators and electricity market participants. The key operational challenge is to efficiently handle the uncertainty and variability of wind power when balancing supply and demand in ths system. In this report, we analyze how wind power forecasting can serve as an efficient tool toward this end. We discuss the current status of wind power forecasting in U.S. electricity markets and develop several methodologies and modeling tools for the use of wind power forecasting in operational decisions, from the perspectives of the system operator as well as the wind power producer. In particular, we focus on the use of probabilistic forecasts in operational decisions. Driven by increasing prices for fossil fuels and concerns about greenhouse gas (GHG) emissions, wind power, as a renewable and clean source of energy, is rapidly being introduced into the existing electricity supply portfolio in many parts of the world. The U.S. Department of Energy (DOE) has analyzed a scenario in which wind power meets 20% of the U.S. electricity demand by 2030, which means that the U.S. wind power capacity would have to reach more than 300 gigawatts (GW). The European Union is pursuing a target of 20/20/20, which aims to reduce greenhouse gas (GHG) emissions by 20%, increase the amount of renewable energy to 20% of the energy supply, and improve energy efficiency by 20% by 2020 as compared to 1990. Meanwhile, China is the leading country in terms of installed wind capacity, and had 45 GW of installed wind power capacity out of about 200 GW on a global level at the end of 2010. The rapid increase in the penetration of wind power into power systems introduces more variability and uncertainty in the electricity generation portfolio, and these factors are the key challenges when it comes to integrating wind power into the electric power grid. Wind power forecasting (WPF) is an important tool to help efficiently address this challenge, and significant efforts have been invested in developing more accurate wind power forecasts. In this report, we document our work on the use of wind power forecasting in operational decisions.

Botterud, A.; Zhi, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Mendes, J.; Sumaili, J.; Miranda, V. (Decision and Information Sciences); (INESC Porto)

2011-11-29T23:59:59.000Z

86

Standards for Municipal Small Wind Regulations and Small Wind Model Wind  

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

Standards for Municipal Small Wind Regulations and Small Wind Model Standards for Municipal Small Wind Regulations and Small Wind Model Wind Ordinance Standards for Municipal Small Wind Regulations and Small Wind Model Wind Ordinance < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Utility Savings Category Wind Buying & Making Electricity Program Info State New Hampshire Program Type Solar/Wind Permitting Standards In July 2008, New Hampshire enacted legislation designed to prevent municipalities from adopting ordinances or regulations that place unreasonable limits or hinder the performance of wind energy systems up to 100 kilowatts (kW) in capacity. Such wind turbines must be used primarily to produce energy for on-site consumption. The law identifies a several

87

Heavy Section Ductile Iron Castings for Use in Wind Turbine ...  

Science Conference Proceedings (OSTI)

However, wind power still accounts for less than 2% of total energy production in the US. One hurdle to producing larger capacity wind turbine generators lies in...

88

Equilibrium pricing in electricity markets with wind power.  

E-Print Network (OSTI)

?? Estimates from the World Wind Energy Association assert that world total wind power installed capacity climbed from 18 Gigawatt (GW) to 152 GW from (more)

Rubin, Ofir David

2010-01-01T23:59:59.000Z

89

Equilibrium pricing in electricity markets with wind power.  

E-Print Network (OSTI)

??Estimates from the World Wind Energy Association assert that world total wind power installed capacity climbed from 18 Gigawatt (GW) to 152 GW from 2000 (more)

Rubin, Ofir David

2010-01-01T23:59:59.000Z

90

Modeling and analysis of wind farm impacts on power systems.  

E-Print Network (OSTI)

??The wind energy industry has undergone a dramatic transformation during the last decade. The total operating wind power capacity in the world has increased greatly. (more)

Zhou, Fengquan, 1969-

2005-01-01T23:59:59.000Z

91

Wind Energy Forecasting Technology Update: 2006  

Science Conference Proceedings (OSTI)

The worldwide installed wind generation capacity increased by 25 and reached almost 60,000 MW worldwide during 2005. As wind capacity continues to grow and large regional concentrations of wind generation emerge, utilities and regional transmission organizations will increasingly need accurate same-day and next-day forecasts of wind energy generation to dispatch system generation and transmission resource and anticipate rapid changes of wind generation.

2006-12-05T23:59:59.000Z

92

Wind Energy Forecasting Technology Update: 2005  

Science Conference Proceedings (OSTI)

The worldwide installed wind generation capacity increased by 25 and reached almost 60,000 MW worldwide during 2005. As wind capacity continues to grow and large regional concentrations of wind generation emerge, utilities and regional transmission organizations will increasingly need accurate same-day and next-day forecasts of wind energy generation to dispatch system generation and transmission resource and anticipate rapid changes of wind generation. The project objective is to summarize the results o...

2006-03-31T23:59:59.000Z

93

Stakeholder Engagement and Outreach: Siting Wind Turbines  

Wind Powering America (EERE)

Resources & Tools Resources & Tools Siting Wind Turbines Wind Powering America works to increase deployment of wind energy. This page provides resources about wind turbine siting. American Wind Wildlife Institute The American Wind Wildlife Institute (AWWI) facilitates timely and responsible development of wind energy, while protecting wildlife and wildlife habitat. AWWI was created and is sustained by a unique collaboration of environmentalists, conservationists, state wildlife agencies, and wind industry leaders. Its purpose is to help lay the scientific groundwork and best practices for wind farm siting and operations, through targeted initiatives: wind-wildlife research, landscape assessment, mitigation, and education. Ordinances Regulating Development of Commercial Wind Energy Facilities

94

installed capacity | OpenEI  

Open Energy Info (EERE)

installed capacity installed capacity Dataset Summary Description Estimates for each of the 50 states and the entire United States show Source Wind Powering America Date Released February 04th, 2010 (4 years ago) Date Updated April 13th, 2011 (3 years ago) Keywords annual generation installed capacity usa wind Data application/vnd.ms-excel icon Wind potential data (xls, 102.4 KiB) 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 Work of the U.S. Federal Government. 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 Overall rating Average vote Your vote Comments

95

Commonwealth Wind Incentive Program - Micro Wind Initiative | Department  

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

Commonwealth Wind Incentive Program - Micro Wind Initiative Commonwealth Wind Incentive Program - Micro Wind Initiative Commonwealth Wind Incentive Program - Micro Wind Initiative < Back Eligibility Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Residential Schools State Government Tribal Government Savings Category Wind Buying & Making Electricity Maximum Rebate Public Projects: up to 4/W with maximum of $130,000 Non-Public Projects: up to 5.20/W with a maximum of $100,000 Program Info Funding Source Massachusetts Renewable Energy Trust Fund Start Date 4/1/2005 State Massachusetts Program Type State Rebate Program Rebate Amount Capacity-based Rebate = Rated Capacity (kW) * 460 +3200 Estimated Performance Rebate = Expected Production * 2.8 * (Rated Capacity^-0.29)

96

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

Wind belt states include Colorado, Iowa, Kansas, Minnesota, Missouri, Montana, Nebraska, New Mexico, North Dakota, Oklahoma,Oklahoma all with more than 2,000 MW. Twenty-nine states had more than 100 MW of windWind Power Rankings: The Top 20 States Capacity (MW) Percentage of In-State Generation Annual (2011) California Illinois Iowa Minnesota Oklahoma

Bolinger, Mark

2013-01-01T23:59:59.000Z

97

ERCOT Wind Development  

Science Conference Proceedings (OSTI)

At present, Texas leads the nation in wind development. Capacity reached 8005 MW in 2008, an addition of over 5000 MW in two years. Further, the state is committed to expanding the transmission system to tap as much as 18,456 MW of wind power. Focusing on the period 2008-2012, this study examines the market response to wind capacity, particularly in the time leading up to the expansion of the Texas transmission system. The study is introductory in nature, providing a foundation for more extensive analysi...

2009-03-30T23:59:59.000Z

98

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

99

NREL: Wind Research - News Release Archives  

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

09 09 September 14, 2009 IEA Wind Energy 2008 Annual Report Now Available for Free Download The IEA Annual Report for 2008 provides the latest information on wind industries in 20 International Energy Agency (IEA) Wind member countries. August 26, 2009 NWTC Installs Multimegawatt Research Turbines NREL's National Wind Technology Center installed the first of two multimegawatt wind turbines last week to be used for research to advance wind turbine performance and reliability. February 3, 2009 U.S. Wind Industry Takes Global Lead The U.S. wind energy industry broke another global record in 2008 by installing 8,358 megawatts (MW) of new capacity, bringing our nation's total wind energy capacity to 25,170 MW. The United States now claims the largest wind energy capacity in the world, taking the lead from Germany.

100

New England Wind Forum: Selling Wind Power  

Wind Powering America (EERE)

Selling Wind Power Selling Wind Power Markets are either well-developed or developing for each of the 'products' produced by wind generators. These include electricity products and generation attributes. Electricity Electricity can be used in two ways: on-site (interconnected behind a retail customer's meter) of for sales of electricity over the electric grid. On-site generation can displace a portion of a customer's purchases of electricity from the grid. In addition, net metering rules are in place at the state level that in some cases allow generation in excess of on-site load to be sold back to the local utility (see state pages for net metering specifics). For sales over the electricity grid, the Independent System Operator of New England (ISO New England) creates and manages a wholesale market for electric energy, capacity, and ancillary services within the New England Power Pool (NEPOOL). Wind generators may sell their electric energy and capacity in spot markets organized by the ISO, or they may contract with wholesale buyers to sell these products for any term to buyers operating in the ISO New England marketplace. Wind generators do not generally produce other marketable ancillary services. The ISO has rules specific to the operation of wind generators reflecting operations, scheduling, calculation of installed capacity credit, and so forth.

Note: This page contains sample records for the topic "wind capacity targets" 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

Mountain Wind | Open Energy Information  

Open Energy Info (EERE)

Mountain Wind Mountain Wind Jump to: navigation, search Mountain Wind is a wind farm located in Uinta County, Wyoming. It consists of 67 turbines and has a total capacity of 140.7 MW. It is owned by Edison Mission Group.[1] Based on assertions that the site is near Fort Bridger, its approximate coordinates are 41.318716°, -110.386418°.[2] References ↑ http://www.wsgs.uwyo.edu/Topics/EnergyResources/wind.aspx ↑ http://www.res-americas.com/wind-farms/operational-/mountain-wind-i-wind-farm.aspx Retrieved from "http://en.openei.org/w/index.php?title=Mountain_Wind&oldid=132229" Category: Wind Farms What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load)

102

Wind Power Price Trends in the United States  

E-Print Network (OSTI)

Review] Wind Power Price Trends in the United States Markof these drivers i.e. , trends in U.S. wind power prices Capacity Wind Power Price Trends in the U.S. Berkeley Lab

Bolinger, Mark

2010-01-01T23:59:59.000Z

103

Wind Power Price Trends in the United States  

E-Print Network (OSTI)

should eventually help wind power regain the downward priceModern Energy Review] Wind Power Price Trends in the Unitedled the world in adding new wind power capacity in 2008, and

Bolinger, Mark

2010-01-01T23:59:59.000Z

104

A Review of Wind Project Financing Structures in the USA  

E-Print Network (OSTI)

Annual Report on U.S. Wind Power Installation, Cost, andand Cumulative Growth in U.S. Wind Power Capacity CumulativeAbstract The rapid pace of wind power development in the

Bolinger, Mark A

2009-01-01T23:59:59.000Z

105

The Political Economy of Wind Power in China  

E-Print Network (OSTI)

adds 18.9 GW of new wind power capacity in 2010. ? GlobalEnd Challenged Subsidies in Wind Power Case. ? Internationalemergence in the global wind power industry. ? Ph. D.

Swanson, Ryan Landon

2011-01-01T23:59:59.000Z

106

11march2007 Blowing in the wind  

E-Print Network (OSTI)

11march2007 Blowing in the wind Part of the answer to rising energy needs and costs may literally be blowing in the wind. Among sustainable sources of electricity, only wind energy has the capacity and technology needed to compete in the open marketplace. The largest onshore wind farm in Europe is being built

Genton, Marc G.

107

United States Wind Resource Potential Chart  

Wind Powering America (EERE)

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

108

Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity in California and the Northwest  

E-Print Network (OSTI)

Modeling Utility-Scale Wind Power Plants Part 2: Capac- ityNakafuji, "Grid Im- pacts of Wind Power Variability: RecentParsons, and M. Milligan, "Wind Power Impacts on Electric-

Wiser, Ryan H

2008-01-01T23:59:59.000Z

109

GENERATING CAPACITY  

E-Print Network (OSTI)

Evidence from the U.S. and some other countries indicates that organized wholesale markets for electrical energy and operating reserves do not provide adequate incentives to stimulate the proper quantity or mix of generating capacity consistent with mandatory reliability criteria. A large part of the problem can be associated with the failure of wholesale spot market prices for energy and operating reserves to rise to high enough levels during periods when generating capacity is fully utilized. Reforms to wholesale energy markets, the introduction of well-design forward capacity markets, and symmetrical treatment of demand response and generating capacity resources to respond to market and institutional imperfections are discussed. This policy reform program is compatible with improving the efficiency of spot wholesale electricity markets, the continued evolution of competitive retail markets, and restores incentives for efficient investment in generating capacity consistent with operating reliability criteria applied by system operators. It also responds to investment disincentives that have been associated with volatility in wholesale energy prices, limited hedging opportunities and to concerns about regulatory opportunism. 1

Paul L. Joskow; Paul L. Joskow; Paul L. Joskow

2006-01-01T23:59:59.000Z

110

Wind turbine | Open Energy Information  

Open Energy Info (EERE)

turbine turbine Jump to: navigation, search Dictionary.png Wind turbine: A machine that converts wind energy to mechanical energy; typically connected to a generator to produce electricity. Other definitions:Wikipedia Reegle Contents 1 Types of Wind Turbines 1.1 Vertical Axis Wind Turbines 1.2 Horizontal Axis Wind Turbines 2 Wind Turbine Sizes 3 Components of a Wind Turbine 4 References Types of Wind Turbines There are two basic wind turbine designs: those with a vertical axis (sometimes referred to as VAWTs) and those with a horizontal axis (sometimes referred to as HAWTs). There are several manufacturers of vertical axis turbines, but they have not penetrated the "utility scale" (100 kW capacity and larger) market to the same degree as horizontal axis turbines.[1]

111

Wind in the Electricity Infrastructure  

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

Electrolysis-Utility Electrolysis-Utility Integration Workshop September 22, 2004 Mark McGree Director Resource Planning Xcel Energy September 22, 2004 Xcel Energy 2 Xcel Energy and Wind *Who we are? *Amount of wind? *Issues and Experiences September 22, 2004 Xcel Energy 3 Xcel Energy Utilities *Northern States Power *Cheyenne Light *PSC of Colorado *Southwestern PSC September 22, 2004 Xcel Energy 4 Wind on Xcel Energy Systems 1.8% 3.5% 165 SPS 2.0% 3.6% 222 PSCo 3.1% 5.8% 481 NSP 2004 Energy Penetration 2004 Capacity Penetration Contracted Wind System September 22, 2004 Xcel Energy 5 Planned Wind on System 4.3% 9.0% 445 SPS 5.8% 10.2% 722 PSCo 6.5% 12.3% 1125 NSP 2010 Energy Penetration 2010 Capacity Penetration 2010 Wind System September 22, 2004 Xcel Energy 6 Wind's Value *Cheapest resource with federal production tax credit - SPS

112

Wind Power Project Repowering: Financial Feasibility, Decision...  

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

advancements, have resulted in significant increases in net capacity factors for utility-scale wind plants over the past 13 years (Lantz et al. 2012). Changes are...

113

Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint  

DOE Green Energy (OSTI)

Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

2013-10-01T23:59:59.000Z

114

Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth  

E-Print Network (OSTI)

Wind Power Capacity Incremental Capacity (2007, MW) United States China Spain Germany IndiaWind Generation as % of Electricity Consumption Austria Germany Denmark Australia Canada Norway Indiaand India (BTM Consult, 2008). With major development now occurring on several continents, wind

Bolinger, Mark A

2009-01-01T23:59:59.000Z

115

electricity generating capacity | OpenEI  

Open Energy Info (EERE)

generating capacity generating capacity Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity generating capacity datasets: annual operational electricity generation capacity by plant type (1975 - 2009); estimated generating capacity by fuel type for North Island, South Island and New Zealand (2009); and information on generating plants (plant type, name, owner, commissioned date, and capacity), as of December 2009. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords biomass coal Electric Capacity electricity generating capacity geothermal Hydro Natural Gas wind Data application/vnd.ms-excel icon Operational Electricity Generation Capacity by Plant Type (xls, 42.5 KiB)

116

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

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

Wind Powering America Webinar: Wind Power Economics: Past, Present, Wind Powering America Webinar: Wind Power Economics: Past, Present, and Future Trends Wind Powering America Webinar: Wind Power Economics: Past, Present, and Future Trends November 23, 2011 - 1:43pm Addthis Wind turbine prices in the United States have declined, on average, by nearly one-third since 2008, after doubling from 2002 through 2008. Over this entire period, the average nameplate capacity rating, hub height, and rotor swept area of turbines installed in the United States have increased significantly, while other design improvements have also boosted turbine energy production. In combination, these various trends have had a significant-and sometimes surprising-impact on the levelized cost of energy delivered by wind projects. This webinar will feature three related presentations that explore these

117

Systems Performance Analyses of Alaska Wind-Diesel Projects; Toksook Bay, Alaska (Fact Sheet)  

DOE Green Energy (OSTI)

This fact sheet summarizes a systems performance analysis of the wind-diesel project in Toksook Bay, Alaska. Data provided for this project include community load data, average wind turbine output, average diesel plant output, thermal load data, average net capacity factor, optimal net capacity factor based on Alaska Energy Authority wind data, average net wind penetration, estimated fuel savings, and wind system availability.

Baring-Gould, I.

2009-04-01T23:59:59.000Z

118

Systems Performance Analyses of Alaska Wind-Diesel Projects; Kotzebue, Alaska (Fact Sheet)  

DOE Green Energy (OSTI)

This fact sheet summarizes a systems performance analysis of the wind-diesel project in Kotzebue, Alaska. Data provided for this project include wind turbine output, average wind speed, average net capacity factor, and optimal net capacity factor based on Alaska Energy Authority wind data, estimated fuel savings, and wind system availability.

Baring-Gould, I.

2009-04-01T23:59:59.000Z

119

Systems Performance Analyses of Alaska Wind-Diesel Projects; Selawik, Alaska (Fact Sheet)  

DOE Green Energy (OSTI)

This fact sheet summarizes a systems performance analysis of the wind-diesel project in Selawik, Alaska. Data provided for this project include community load data, wind turbine output, diesel plant output, thermal load data, average wind speed, average net capacity factor, optimal net capacity factor based on Alaska Energy Authority wind data, average net wind penetration, and estimated fuel savings.

Baring-Gould, I.

2009-04-01T23:59:59.000Z

120

Wind Turbines and Health  

E-Print Network (OSTI)

Wind power has been gaining prominence as a viable sustainable alternative to other forms of energy production. Studies have found that there is increasing population demand for green energy 1,2. In Australia, this has been encouraged by the introduction of the Renewable Energy (Electricity) Act in 2000 and the Renewable Energy Target Scheme in 2009. As with any new technology, wind turbines are not without controversy. Those who oppose the development of wind farms contend that wind turbines can adversely impact the health of individuals living in close proximity. Do wind turbines impact on health? Concerns regarding the adverse health impacts of wind turbines focus on infrasound noise, electromagnetic interference, shadow flicker and blade glint produced

unknown authors

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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

Wind Turbines and Health  

E-Print Network (OSTI)

Wind power has been gaining prominence as a viable sustainable alternative to other forms of energy production. Studies have found that there is increasing population demand for green energy1,2. In Australia, this has been encouraged by the introduction of the Renewable Energy (Electricity) Act in 2000 and the Renewable Energy Target Scheme in 2009. As with any new technology, wind turbines are not without controversy. Those who oppose the development of wind farms contend that wind turbines can adversely impact the health of individuals living in close proximity. Do wind turbines impact on health? Concerns regarding the adverse health impacts of wind turbines focus on infrasound noise, electromagnetic interference, shadow flicker and blade glint produced

unknown authors

2010-01-01T23:59:59.000Z

122

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

part because 3.3% is a projection based on end-of-year 2011Power Monthly. ** Based on a projection of wind electricitydesign. Berkeley Labs projections of new renewable capacity

Bolinger, Mark

2013-01-01T23:59:59.000Z

123

Extreme Winds and Wind Effects on Structures  

Science Conference Proceedings (OSTI)

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

2013-01-17T23:59:59.000Z

124

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

SciTech Connect

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

2010-10-01T23:59:59.000Z

125

Wind Energy Update  

Wind Powering America (EERE)

by the Alliance for Sustainable Energy, LLC. by the Alliance for Sustainable Energy, LLC. Wind Energy Update Wind Powering America January 2012 NATIONAL RENEWABLE ENERGY LABORATORY Evolution of Commercial Wind Technology NATIONAL RENEWABLE ENERGY LABORATORY Small (≤100 kW) Homes Farms Remote Applications (e.g. water pumping, telecom sites, icemaking) Midscale (100-1000 kW) Village Power Hybrid Systems Distributed Power Large, Land-based (1-3 MW) Utility-scale wind farms Large Distributed Power Sizes and Applications Large, Offshore (3-7 MW) Utility-scale wind farms, shallow coastal waters No U.S. installations NATIONAL RENEWABLE ENERGY LABORATORY Capacity & Cost Trends As of January 2012 (AWEA) 0 5000 10000 15000 20000 25000 30000 35000 40000 45000 50000 $- $200 $400 $600 $800 $1,000 $1,200

126

Illinois Wind Workers Group  

Science Conference Proceedings (OSTI)

The Illinois Wind Working Group (IWWG) was founded in 2006 with about 15 members. It has grown to over 200 members today representing all aspects of the wind industry across the State of Illinois. In 2008, the IWWG developed a strategic plan to give direction to the group and its activities. The strategic plan identifies ways to address critical market barriers to the further penetration of wind. The key to addressing these market barriers is public education and outreach. Since Illinois has a restructured electricity market, utilities no longer have a strong control over the addition of new capacity within the state. Instead, market acceptance depends on willing landowners to lease land and willing county officials to site wind farms. Many times these groups are uninformed about the benefits of wind energy and unfamiliar with the process. Therefore, many of the project objectives focus on conferences, forum, databases and research that will allow these stakeholders to make well-educated decisions.

David G. Loomis

2012-05-28T23:59:59.000Z

127

Analysis and Comparison of Low Voltage Ride Through Capability of Wind Power Generators.  

E-Print Network (OSTI)

??When the wind power accounted for a total generating capacity reaches a certain percentage, wind turbine's ability to maintain operation during a fault will affect (more)

Wu, Tung-Sheng

2013-01-01T23:59:59.000Z

128

Summary World Wind Energy Data (from World on the Edge) | OpenEI  

Open Energy Info (EERE)

the Earth Policy Institute. This wind energy dataset includes the following cumulative installed wind power capacity datasets: World (1980 - 2009); Top ten countries (1980 -...

129

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

E-Print Network (OSTI)

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

Slegers, James Michael

2013-01-01T23:59:59.000Z

130

How to Build a Small Wind Energy Business: Lessons from California; Preprint  

DOE Green Energy (OSTI)

This paper highlights the experience of one small wind turbine installer in California that installed more than 1 MW of small wind capacity in 6 years.

Sinclair, K.

2007-07-01T23:59:59.000Z

131

Model-based fault detection and isolation of a liquid-cooled frequency converter on a wind turbine  

Science Conference Proceedings (OSTI)

With the rapid development of wind energy technologies and growth of installed wind turbine capacity in the world, the reliability of the wind turbine becomes an important issue for wind turbine manufactures, owners, and operators. The reliability of ...

Peng Li, Peter Fogh Odgaard, Jakob Stoustrup, Alexander Larsen, Kim Mrk

2012-01-01T23:59:59.000Z

132

NREL: Renewable Resource Data Center - Wind Resource Information  

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

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

133

AWEA Small Wind Turbine Global Market Study  

E-Print Network (OSTI)

wind turbines ­ those with rated capacities of 100 kilowatts (kW)1 and less ­ grew 15% in 2009 with 20 small wind turbines, 95 of which-- more than one-third--are based in the u.S. An estimated 100,000 unitsAWEA Small Wind Turbine Global Market Study YEAR ENDING 2009 #12;Summary 3 Survey Findings

Leu, Tzong-Shyng "Jeremy"

134

United States (48 Contiguous States) Wind Resource Potential Chart  

Wind Powering America (EERE)

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

135

Stakeholder Engagement and Outreach: Wind Resource Potential  

Wind Powering America (EERE)

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

136

Wind Power in China | Open Energy Information  

Open Energy Info (EERE)

in China in China Jump to: navigation, search This article is a stub. You can help OpenEI by expanding it. Contents 1 Summary 2 Estimate Potential 3 Current Projects 4 China Manufacturers 4.1 Wind Companies in Wind Power in China 5 China's Wind Goals 6 References Summary Installed wind capacity: approximately 30 GW by end of 2010 (est), added 13.8 GW in 2009 Installed wind capacity doubled each year, Min Deqing China_2050_Wind_Technology_Roadmap Estimate Potential Offshore wind energy generation potential in China estimate to be 11,000 terawatt-hours (TWh) similar to that of the North Sea in western Europe.[1][2] Current Projects 7 large projects or "megabases" (2010) [3] Inner Mongolia approximately 4.3 GW capacity in 2010 (66 projects; 40 more planned)[4] 1.25 GW offshore project in Guangdong

137

EERE: Wind  

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

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

138

WIND ENERGY Wind Energ. (2012)  

E-Print Network (OSTI)

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

Haak, Hein

139

U.S. wind generation increased 27% in 2011 | U.S. Energy ...  

U.S. Energy Information Administration (EIA)

tags: capacity electricity generation generation capacity renewable wind. Email Updates. RSS Feeds. Facebook. Twitter. YouTube. Add us to your site.

140

Wind Energy Teachers Guide  

DOE Green Energy (OSTI)

This guide, created by the American Wind Association, with support from the U.S. Department of Energy, is a learning tool about wind energy targeted toward grades K-12. The guide provides teacher information, ideas for sparking children's and students' interest, suggestions for activities to undertake in and outside the classroom, and research tools for both teachers and students. Also included is an additional resources section.

anon.

2003-01-01T23:59:59.000Z

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


141

New England Wind Forum: Determining Factors Influencing Wind Economics in  

Wind Powering America (EERE)

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

142

Capacity Markets for Electricity  

E-Print Network (OSTI)

ternative Approaches for Power Capacity Markets, Papers andand Steven Stoft, Installed Capacity and Price Caps: Oil onElectricity Markets Have a Capacity requirement? If So, How

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

143

2. Gas Productive Capacity  

U.S. Energy Information Administration (EIA)

2. Gas Productive Capacity Gas Capacity to Meet Lower 48 States Requirements The United States has sufficient dry gas productive capacity at the wellhead to meet ...

144

Airborne Wind Turbine  

Science Conference Proceedings (OSTI)

Broad Funding Opportunity Announcement Project: Makani Power is developing an Airborne Wind Turbine (AWT) that eliminates 90% of the mass of a conventional wind turbine and accesses a stronger, more consistent wind at altitudes of near 1,000 feet. At these altitudes, 85% of the country can offer viable wind resources compared to only 15% accessible with current technology. Additionally, the Makani Power wing can be economically deployed in deep offshore waters, opening up a resource which is 4 times greater than the entire U.S. electrical generation capacity. Makani Power has demonstrated the core technology, including autonomous launch, land, and power generation with an 8 meter wingspan, 20 kW prototype. At commercial scale, Makani Power aims to develop a 600 kW, 28 meter wingspan product capable of delivering energy at an unsubsidized cost competitive with coal, the current benchmark for low-cost power.

None

2010-09-01T23:59:59.000Z

145

The coal-wind connection  

Science Conference Proceedings (OSTI)

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

Blankinship, S.

2007-01-15T23:59:59.000Z

146

Large Wind Technology | Department of Energy  

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

Large Wind Technology Large Wind Technology Large Wind Technology The Wind Program works with industry partners to increase the performance and reliability of large wind technologies while lowering the cost of wind energy. The program's research efforts have helped to increase the average capacity factor (a measure of power plant productivity) from 22% for wind turbines installed before 1998 to 35% for turbines installed between 2004 and 2007. Wind energy costs have been reduced from over 55 cents (current dollars) per kilowatt-hour (kWh) in 1980 to under six cents/kWh today. To ensure future industry growth, the technology must continue to evolve, building on earlier successes to further improve reliability, increase capacity factors, and reduce costs. This page describes the goal of the

147

Survey of Wind Power Integration Studies  

Science Conference Proceedings (OSTI)

The worldwide installed wind generation capacity increased by 25% and reached almost 60,000 MW worldwide and 9150 MW in the United States during 2005, and the high growth rate is forecast to continue for several years. Wind generation is an intermittent resource and can't be dispatched. Therefore, large blocks of wind generation concentrated in a region can affect the operation of the electricity grid with regard to ancillary service requirements and cost. Because the numerous wind power integration stud...

2006-03-31T23:59:59.000Z

148

Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006  

E-Print Network (OSTI)

Wind Power Rankings: The Top 20 States Cumulative Capacity (end of 2006, MW) Texas California Iowa Minnesota Washington Oklahoma

2008-01-01T23:59:59.000Z

149

Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006  

E-Print Network (OSTI)

basis. Text Box 1. Offshore Wind Development Activities Inis some interest in offshore wind in several parts of theGeorgia TOTAL Proposed Offshore Wind Capacity 735 MW 650 MW

2008-01-01T23:59:59.000Z

150

Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006  

E-Print Network (OSTI)

Annual Report on U.S. Wind Power Installation, Cost, and3 U.S. Wind Power Capacity Increased by 27% inAre Significant. . . . . . . 9 Wind Power Prices Are Up in

2008-01-01T23:59:59.000Z

151

Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006  

E-Print Network (OSTI)

not represent wind energy generation costs, and generationXcel-UWIG We Energies Wind Capacity Penetration Cost ($/MWh)Wind Energy Program is currently funding additional efforts to better understand the drivers for O&M costs and

2008-01-01T23:59:59.000Z

152

Applications of operation research to the analysis for the impacts of the transmission line capacity limitation on  

E-Print Network (OSTI)

of the wind power generated from wind turbines or released from its storage system out of the total power and the transmission line capacity. If the power supply from wind turbines cannot be transmitted online in real and the total wind power that can be captured by wind turbines at hour t. It is also impacted

153

Annual Report on U.S. Wind Power Installation, Cost, and  

E-Print Network (OSTI)

industry trends · Evolution of wind pricing · Installed wind project costs · Wind turbine transaction turbines and projects over 50 kW in size · Data sources include AWEA, EIA, FERC, SEC, etc. (see full report PercentofAnnualCapacityAdditions 0 20 40 60 80 100 TotalAnnualCapacityAdditions(GW) Wind Other Renewable Gas

154

Property:Incentive/WindResMaxKW | Open Energy Information  

Open Energy Info (EERE)

search Property Name IncentiveWindResMaxKW Property Type String Description The maximum installed residential wind capacity in kW that is eligible for a rebate. Ex: The maximum...

155

Property:Incentive/WindComMaxKW | Open Energy Information  

Open Energy Info (EERE)

search Property Name IncentiveWindComMaxKW Property Type String Description The maximum installed commercial wind capacity in kW that is eligible for a rebate. This also applies...

156

Property:Incentive/WindResDolKW | Open Energy Information  

Open Energy Info (EERE)

Name IncentiveWindResDolKW Property Type String Description The amount per kW of installed capacity of a residential wind system disbursed as an upfront incentive. Ex:...

157

Property:Incentive/WindComDolKW | Open Energy Information  

Open Energy Info (EERE)

Name IncentiveWindComDolKW Property Type String Description The amount per kW of installed capacity of a commercial wind system disbursed as an upfront incentive. Ex: OR's...

158

Designing Electricity Markets with Large Shares of Wind Power  

E-Print Network (OSTI)

-time (RT) prices in Iowa (MEC interface), May 11­17, 2009. MISO NYISO PJM ERCOT CAISO Wind Power Capacity) and PJM have already introduced rules for mandatory real-time bidding and control of wind power

Kemner, Ken

159

GIZ-Best Practices in Capacity Building Approaches | Open Energy  

Open Energy Info (EERE)

GIZ-Best Practices in Capacity Building Approaches GIZ-Best Practices in Capacity Building Approaches Jump to: navigation, search Tool Summary LAUNCH TOOL Name: GIZ-Best Practices in Capacity Building Approaches: Recommendations for the Design of a Long -Term Capacity Building Strategy for the Wind and Solar Sectors by the MEF Working Group Agency/Company /Organization: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH Sector: Energy, Climate Focus Area: Solar, Wind Resource Type: Publications, Training materials, Lessons learned/best practices Website: prod-http-80-800498448.us-east-1.elb.amazonaws.com/w/images/8/80/Best_ Cost: Free GIZ-Best Practices in Capacity Building Approaches: Recommendations for the Design of a Long -Term Capacity Building Strategy for the Wind and Solar Sectors by the MEF Working Group Screenshot

160

2010 Wind Technologies Market Report  

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

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

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


161

Wind load reduction for heliostats  

DOE Green Energy (OSTI)

This report presents the results of wind-tunnel tests supported through the Solar Energy Research Institute (SERI) by the Office of Solar Thermal Technology of the US Department of Energy as part of the SERI research effort on innovative concentrators. As gravity loads on drive mechanisms are reduced through stretched-membrane technology, the wind-load contribution of the required drive capacity increases in percentage. Reduction of wind loads can provide economy in support structure and heliostat drive. Wind-tunnel tests have been directed at finding methods to reduce wind loads on heliostats. The tests investigated primarily the mean forces, moments, and the possibility of measuring fluctuating forces in anticipation of reducing those forces. A significant increase in ability to predict heliostat wind loads and their reduction within a heliostat field was achieved.

Peterka, J.A.; Hosoya, N.; Bienkiewicz, B.; Cermak, J.E.

1986-05-01T23:59:59.000Z

162

WindSENSE Project Summary: FY2009-2011  

DOE Green Energy (OSTI)

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

Kamath, C

2011-09-25T23:59:59.000Z

163

FAQs about Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

about Storage Capacity about Storage Capacity How do I determine if my tanks are in operation or idle or non-reportable? Refer to the following flowchart. Should idle capacity be included with working capacity? No, only report working capacity of tanks and caverns in operation, but not for idle tanks and caverns. Should working capacity match net available shell in operation/total net available shell capacity? Working capacity should be less than net available shell capacity because working capacity excludes contingency space and tank bottoms. What is the difference between net available shell capacity in operation and total net available shell capacity? Net available shell capacity in operation excludes capacity of idle tanks and caverns. What do you mean by transshipment tanks?

164

Stakeholder Engagement and Outreach: How Do I Get Wind Power?  

Wind Powering America (EERE)

Education Education Printable Version Bookmark and Share Learn About Wind About Wind Power Locating Wind Power Getting Wind Power Installed Wind Capacity Wind for Schools Project Collegiate Wind Competition School Project Locations Education & Training Programs Curricula & Teaching Materials Resources How do I get Wind Power? Learn how you can own, partner with, host, and support wind power. Construct A Wind Project On Your Own Land There are wind turbines designed for everyone from residential homeowners to utilities, and from private to corporate use. Small wind turbines can be bought with cash, and commercial-scale projects can be financed. To learn more about small projects, such as those for a home or ranch or business that are less than or equal to 100 kilowatts (kW), see the small wind

165

Wind Opportunities for Idaho State Lands  

Wind Powering America (EERE)

and Local Initiatives Group and Local Initiatives Group National Renewable Energy Laboratory Terri Walters Carol Tombari 303-275-3005 303-275-3821 terri_walters@nrel.gov carol_tombari@nrel.gov Wind Opportunities For Idaho State Lands March 3, 2004 Wind Overview Wind Overview * Technology * Resources * Markets and Drivers * Economic Development Opportunities * Wind Powering America U.S. Electricity Fuel Mix U.S. Electricity Fuel Mix Coal 51.8% Nuclear 19.8% Hydro 7.2% Petroleum 2.9% Gas 16.1% Other/Renewables 2.2% Sizes and Applications Sizes and Applications Small (≤10 kW) * Homes * Farms * Remote Applications (e.g. water pumping, telecom sites, icemaking) Intermediate (10-100 kW) * Village Power * Hybrid Systems * Distributed Power Large (660 kW - 2+MW) * Central Station Wind Farms * Distributed Power Growth of Wind Energy Capacity Growth of Wind Energy Capacity

166

Role of wind power in electric utilities  

SciTech Connect

Current estimates suggest that the cost of wind-generated power is likely to be competitive with conventionally generated power in the near future in regions of the United States with favorable winds and high costs for conventionally generated electricity. These preliminary estimates indicate costs of $500 to 700 per installed kW for mass-produced wind turbines. This assessment regarding competitiveness includes effects of reduced reliability of wind power compared to conventional sources. Utilities employing wind power are likely to purchase more peaking capacity and less baseload capacity than they would have otherwise to provide the lowest-cost reserve power. This reserve power is needed mainly when wind outages coincide with peak loads. The monetary savings associated with this shift contribute substantially to the value of wind energy to a utility.

Davitian, H

1977-09-01T23:59:59.000Z

167

The Political Economy of Wind Power in China  

E-Print Network (OSTI)

biores/108435/. ?Chinas power generation capacity leapshtm. ?Analysis of UK Wind Power Generation: November 2008 tofor Renewable Energy Power Generation Prices and Expenses? [

Swanson, Ryan Landon

2011-01-01T23:59:59.000Z

168

Planned wind turbine additions rise in advance of ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual ... Search EIA.gov. A-Z ... Wind plant developers reported increasing amounts of new capacity scheduled to enter ...

169

1. Sector Description Wind Energy  

E-Print Network (OSTI)

Wind power is todays most rapidly growing renewable power source. In the United States, new wind farms were the second-largest source of new power generation in 2005, after new natural gas power plants. In 2005, 2,431 megawatts (MW) of new capacity were installed in 22 states, increasing total wind generating capacity by more than a third to 9,149 MW, or enough to power 2.3 million average American households. Wind energy is a clean, domestic, renewable resource. It often displaces electricity that would otherwise have been produced by natural gas, thus helping to reduce gas demand and limit gas price hikes (DOE 2006a). It also can serve as a partial replacement for the electricity produced by the aging U.S. coal-fired power plant fleet. In the future, surplus wind power can be used for desalination and hydrogen production, and may be stored as hydrogen for use in fuel cells or gas turbines to generate electricity, leveling supply when winds are variable. Last February, the President said that wind energy could provide as much as 20 % of our electricity demands, up from less than 1 % today. Dozens of states have passed renewable portfolio standards setting goals similar to that stated by the President, giving broad-based public support for development of wind resources.

unknown authors

2006-01-01T23:59:59.000Z

170

How much electric supply capacity is needed to keep U.S ...  

U.S. Energy Information Administration (EIA)

Solar Energy in Brief ... additions in wind and solar capacity were spurred by both state-level Renewable Portfolio Standards and federal tax incentives.

171

Why Are We Talking About Capacity Markets? (Presentation)  

DOE Green Energy (OSTI)

Capacity markets represent a new and novel way to achieve greater economic use of variable generation assets such as wind and solar, and this concept is discussed in this presentation.

Milligan, M.

2011-06-01T23:59:59.000Z

172

California Regional Wind Energy Forecasting System Development, Volume 4: California Wind Generation Research Dataset (CARD)  

Science Conference Proceedings (OSTI)

The rated capacity of wind generation in California is expected to grow rapidly in the future beyond the approximately 2100 megawatts in place at the end of 2005. The main drivers are the state's 20 percent renewable portfolio standard requirement in 2010 and the low cost of wind energy relative to other renewable energy sources. As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forec...

2006-11-13T23:59:59.000Z

173

EIA: Wind  

U.S. Energy Information Administration (EIA)

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

174

Wind Farm Growth Through the Years | Department of Energy  

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

Wind Farm Growth Through the Years Wind Farm Growth Through the Years Wind Farm Growth Through the Years August 6, 2013 - 8:32am Addthis 1975 Start Slow Stop Year Wind Farms Homes Powered Added Current Year 815 Wind Farms Online. Enough to Power 15 M Homes Data provided by the EIA. The number of homes powered is estimated through conversion factors provided by the EIA. Daniel Wood Daniel Wood Data Integration Specialist As we publish the 2012 Wind Technologies Market Report, we are excited to break down some recent EIA data not included in the report that shows significant wind farm growth across the nation. 2012 was a big year for wind energy. In total, 143 wind farms either came on line or added capacity in 2012, bringing the total number to 815. This brought the country's total wind capacity to more than 60 GW, enough energy to power about 15

175

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

176

Wind power is a rapidly growing con-tributor to worldwide energy supplies and  

E-Print Network (OSTI)

the U.S., represent- ing nearly one-third of the total installed wind energy capacity in the country for wind turbine siting and wind source prediction. Ironically, PPM has hired 3TIER to provide wind energy and operates wind farms in Ireland, Scotland, England, Wales and the United States. With the recent extension

177

2008 WIND TECHNOLOGIES MARKET REPORT  

SciTech Connect

The U.S. wind industry experienced a banner year in 2008, again surpassing even optimistic growth projections from years past. At the same time, the last year has been one of upheaval, with the global financial crisis impacting near-term growth prospects for the wind industry, and with federal policy changes enacted to push the industry towards continued aggressive expansion. This rapid pace of development has made it difficult to keep up with trends in the marketplace. Yet, the need for timely, objective information on the industry and its progress has never been greater. This report - the third of an ongoing annual series - attempts to meet this need by providing a detailed overview of developments and trends in the U.S. wind power market, with a particular focus on 2008. As with previous editions, this report begins with an overview of key wind power installation-related trends: trends in wind capacity growth in the U.S., how that growth compares to other countries and generation sources, the amount and percentage of wind in individual states and serving specific utilities, and the quantity of proposed wind capacity in various interconnection queues in the United States. Next, the report covers an array of wind industry trends, including developments in turbine manufacturer market share, manufacturing and supply-chain investments, wind turbine and wind project size, project financing developments, and trends among wind power developers, project owners, and power purchasers. The report then turns to a discussion of wind project price, cost, and performance trends. In so doing, it reviews the price of wind power in the United States, and how those prices compare to the cost of fossil-fueled generation, as represented by wholesale power prices. It also describes trends in installed wind project costs, wind turbine transaction prices, project performance, and operations and maintenance expenses. Next, the report examines other policy and market factors impacting the domestic wind power market, including federal and state policy drivers, transmission issues, and grid integration. Finally, the report concludes with a preview of possible near- to medium-term market developments. This version of the Annual Report updates data presented in the previous editions, while highlighting key trends and important new developments from 2008. New to this edition is an executive summary of the report and an expanded final section on near- to medium-term market development. The report concentrates on larger-scale wind applications, defined here as individual turbines or projects that exceed 50 kW in size. The U.S. wind power sector is multifaceted, however, and also includes smaller, customer-sited wind turbines used to power the needs of residences, farms, and businesses. Data on these applications are not the focus of this report, though a brief discussion on Distributed Wind Power is provided on page 4. Much of the data included in this report were compiled by Berkeley Lab, and come from a variety of sources, including the American Wind Energy Association (AWEA), the Energy Information Administration (EIA), and the Federal Energy Regulatory Commission (FERC). The Appendix provides a summary of the many data sources used in the report. Data on 2008 wind capacity additions in the United States are based on information provided by AWEA; some minor adjustments to those data may be expected. In other cases, the data shown here represent only a sample of actual wind projects installed in the United States; furthermore, the data vary in quality. As such, emphasis should be placed on overall trends, rather than on individual data points. Finally, each section of this document focuses on historical market information, with an emphasis on 2008; with the exception of the final section, the report does not seek to forecast future trends.

Wiser, Ryan H.; Bolinger, Mark; Barbose, G.; Mills, A.; Rosa, A.; Porter, K.; Fink, S.; Tegen, S.; Musial, W.; Oteri, F.; Heimiller, D.; Rberts, B.; Belyeu, K.; Stimmel, R.

2009-07-15T23:59:59.000Z

178

Comparison of Productive Capacity  

U.S. Energy Information Administration (EIA)

Appendix B Comparison of Productive Capacity Comparisons of base case productive capacities for this and all previous studies were made (Figure B1).

179

Tables - Refinery Capacity Report  

U.S. Energy Information Administration (EIA)

Tables: 1: Number and Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2009: PDF: 2: Production Capacity of Operable ...

180

2010 Wind Technologies Market Report  

DOE Green Energy (OSTI)

The U.S. wind power industry experienced a trying year in 2010, with a significant reduction in new builds compared to both 2008 and 2009. The delayed impact of the global financial crisis, relatively low natural gas and wholesale electricity prices, and slumping overall demand for energy countered the ongoing availability of existing federal and state incentives for wind energy deployment. The fact that these same drivers did not impact capacity additions in 2009 can be explained, in part, by the 'inertia' in capital-intensive infrastructure investments: 2009 capacity additions were largely determined by decisions made prior to the economy-wide financial crisis that was at its peak in late 2008 and early 2009, whereas decisions on 2010 capacity additions were often made at the height of the financial crisis. Cumulative wind power capacity still grew by a healthy 15% in 2010, however, and most expectations are for moderately higher wind power capacity additions in 2011 than witnessed in 2010, though those additions are also expected to remain below the 2009 high.

Exeter Associates; National Renewable Energy Laboratory; Energetics Incorporated; Wiser, Ryan; Bolinger, Mark; Barbose, Galen; Darghouth, Naim; Hoen, Ben; Mills, Andrew; Seel, Joachim; Porter, Kevin; Buckley, Michael; Fink, Sari; Oteri, Frank; Raymond, Russell

2011-06-27T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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

Short-Term Power Fluctuations of Large Wind Power Plants: Preprint  

DOE Green Energy (OSTI)

With electric utilities and other power providers showing increased interest in wind power and with growing penetration of wind capacity into the market, questions about how wind power fluctuations affect power system operations and about wind power's ancillary services requirements are receiving lots of attention. The project's purpose is to acquire actual, long-term wind power output data for analyzing wind power fluctuations, frequency distribution of the changes, the effects of spatial diversity, and wind power ancillary services.

Wan, Y.; Bucaneg, D.

2002-01-01T23:59:59.000Z

182

Wind Blog  

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

wind-blog Office of Energy Efficiency & Renewable wind-blog Office of Energy Efficiency & Renewable Energy Forrestal Building 1000 Independence Avenue, SW Washington, DC 20585 en Two Facilities, One Goal: Advancing America's Wind Industry http://energy.gov/eere/articles/two-facilities-one-goal-advancing-america-s-wind-industry wind-industry" class="title-link">Two Facilities, One Goal: Advancing America's Wind Industry

183

NREL: Wind Research - ISO New England Updates  

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

(ISO-NE) is working on a series of wholesale market reforms that pertain to or impact wind power in New England. Topics include forward capacity market (FCM) re-design, negative...

184

Wind resource analysis. Annual report  

SciTech Connect

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

Hardy, D. M.

1978-12-01T23:59:59.000Z

185

Battery Voltage Stability Effects on Small Wind Turbine Energy Capture: Preprint  

DOE Green Energy (OSTI)

Previous papers on small wind turbines have shown that the ratio of battery capacity to wind capacity (known as battery-wind capacity ratio) for small wind systems with battery storage has an important effect on wind turbine energy output. Data analysis from pilot project performance monitoring has revealed shortcomings in wind turbine energy output up to 75% of expected due to the effect of a''weak'' battery grid. This paper presents an analysis of empirical test results of small wind battery systems, showing the relationships among wind turbine charging rate, battery capacity, battery internal resistance, and the change in battery voltage. By understanding these relationships, small wind systems can be designed so as to minimize''dumped'' or unused energy from small wind turbines.

Corbus, D.; Newcomb, C.; Baring-Gould, E. I.; Friedly, S.

2002-05-01T23:59:59.000Z

186

Wind Powering America  

DOE Green Energy (OSTI)

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

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

2001-07-07T23:59:59.000Z

187

NREL: Awards and Honors - North Wind 100/20 Wind Turbine  

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

North Wind 100/20 Wind Turbine North Wind 100/20 Wind Turbine Developers: Gerry Nix and Brian Smith, National Renewable Energy Laboratory; Johnathan Lynch, Clint Coleman, Garrett Bywaters, and Rob Roland, Norhtern Power Systems; Dr. David Bubenheim and Michael Flynn, NASA Ames Research Center; and John Rand, National Science Foundation. The North Wind 100/20 Wind Turbine is a state-of-the-art wind turbine that is ideal for extreme cold conditions perfect for remote locations that may be off-grid or local-grid. The numeric designations represent the North Wind's capacity, 100-kilowatts (which is enough energy for 25-50 homes), and 20-meter diameter blades. The size of the North Wind 100/20 is unique, fitting an important market niche between large and small turbines. Large turbines (400-kilowatts and

188

TMCC WIND RESOURCE ASSESSMENT  

DOE Green Energy (OSTI)

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

Turtle Mountain Community College

2003-12-30T23:59:59.000Z

189

Wind Resources By Class Per Country At 50m

These estimates...  

Open Energy Info (EERE)

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

190

Energy Basics: Wind Turbines  

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

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

191

Architectural Wind Fact Sheet Harvard Green Campus Initiative  

E-Print Network (OSTI)

. There are a few different types of wind turbine options: · Large scale: capacities of 1,000 kW or more · Small scale: capacities of 100kW or less · Architectural: smaller turbines that are placed directly turbines convert the energy created by the wind's rotation of turbine blades into electricity by means

Paulsson, Johan

192

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

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

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

193

Wind Turbines  

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

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

194

Small Wind Guidebook/Image Library | Open Energy Information  

Open Energy Info (EERE)

Image Library Image Library < Small Wind Guidebook Jump to: navigation, search Print PDF WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the Best Site for My Wind Turbine? * Can I Connect My System to the Utility Grid? * Can I Go Off-Grid? * State Information Portal * Glossary of Terms * For More Information *Capacity-10 kilowatts *Turbine manufacturer-Bergey Windpower Company

195

NREL: Wind Research - Large Wind Turbine Research  

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

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

196

Wind Powering America: Wind Events  

Wind Powering America (EERE)

calendar.asp Lists upcoming wind calendar.asp Lists upcoming wind power-related events. en-us julie.jones@nrel.gov (Julie Jones) http://www.windpoweringamerica.gov/images/wpa_logo_sm.jpg Wind Powering America: Wind Events http://www.windpoweringamerica.gov/calendar.asp Pennsylvania Wind for Schools Educator Workshop https://www.regonline.com/builder/site/Default.aspx?EventID=1352684 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4068 Wed, 4 Dec 2013 00:00:00 MST 2014 Joint Action Workshop http://www.windpoweringamerica.gov/filter_detail.asp?itemid=3996 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=3996 Mon, 21 Oct 2013 00:00:00 MST AWEA Wind Project Operations and Maintenance and Safety Seminar http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4009 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4009 Mon, 21

197

Statewide Air Emissions Calculations from Wind and Other Renewables, Summary Report  

E-Print Network (OSTI)

The 79th Legislature, through Senate Bill 20, House Bill 2481 and House Bill 2129, amended Senate Bill 5 to enhance its effectiveness by adding 5,880 MW of generating capacity from renewable energy technologies by 2015, and 500 MW from non-wind renewables. This legislation also requires PUC to establish a target of 10,000 megawatts of installed renewable capacity by 2025, and requires TCEQ to develop methodology for computing emissions reductions from renewable energy initiatives and the associated credits. In this Legislation the Laboratory is to assist TCEQ in quantifying emissions reductions credits from energy efficiency and renewable energy programs, through a contract with the Texas Environmental Research Consortium (TERC) to develop and annually calculate creditable emissions reductions from wind and other renewable energy resources for the states SIP. The Energy Systems Laboratory, in fulfillment of its responsibilities under this Legislation, submits its second annual report, Statewide Air Emissions Calculations from Wind and Other Renewables, to the Texas Commission on Environmental Quality. The report is organized in several deliverables: A Summary Report, which details the key areas of work; Supporting Documentation; Supporting data files, including weather data, and wind production data, which have been assembled as part of the first years effort. This executive summary provides summaries of the key areas of accomplishment this year, including: continuation of stakeholders meetings; review of electricity savings reported by ERCOT; analysis of wind farms using 2005 data; preliminary reporting of NOx emissions savings in the 2006 Integrated Savings report to TCEQ; prediction of on-site wind speeds using Artificial Neural Networks (ANN); improvements to the daily modeling using ANN-derived wind speeds; development of a degradation analysis; development of a curtailment analysis; analysis of other renewables, including: PV, solar thermal, hydroelectric, geothermal and landfill gas; estimation of hourly solar radiation from limited data sets;

Turner, W. D.; Haberl, J. S.; Yazdani, B.; Gilman, D.; Subbarao, K.; Baltazar-Cervantes, J. C.; Liu, Z.; Culp, C.

2007-10-30T23:59:59.000Z

198

Network Routing Capacity  

E-Print Network (OSTI)

We define the routing capacity of a network to be the supremum of all possible fractional message throughputs achievable by routing. We prove that the routing capacity of every network is achievable and rational, we present an algorithm for its computation, and we prove that every non-negative rational number is the routing capacity of some network. We also determine the routing capacity for various example networks. Finally, we discuss the extension of routing capacity to fractional coding solutions and show that the coding capacity of a network is independent of the alphabet used.

Jillian Cannons; Randall Dougherty; Christopher Freiling; Kenneth Zeger

2005-01-01T23:59:59.000Z

199

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATION PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

U.S. Energy Information Administration (EIA) Indexed Site

UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

200

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATION PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

U.S. Energy Information Administration (EIA) Indexed Site

UTILITY FOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

Note: This page contains sample records for the topic "wind capacity targets" 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

The Ecological Society of America wwwwww..ffrroonnttiieerrssiinneeccoollooggyy..oorrgg Wind energy has become an increasingly important  

E-Print Network (OSTI)

existing wind energy facili- ties in the US include turbines with installed capacity rang- ing from 600 kW 000 MW, or the equivalent 48 000 1.5 MW wind turbines. This is enough, according REVIEWS REVIEWS to 2 MW per turbine. Wind turbines up to about 3 MW of installed capacity for onshore applications

Wilmers, Chris

202

Wind Energy Myths | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Myths Wind Energy Myths Jump to: navigation, search Glacier Wind Project is located 10 miles west of Shelby, Montana, 2 miles south of Ethridge, in Glacier and Toole Counties, and is the largest wind farm in Montana. This project is comprised of 71 machines in phase 1 and 69 machines in phase 2 for a total of 140 Acciona AW-1500, capable of producing 210 MW at full capacity. Photo from Todd Spink, NREL 16521 U.S. Department of Energy. (July 10, 2011). Myths and Benefits of Wind Energy Wind Powering America hosted this webinar featuring speakers Ian Baring-Gould (National Renewable Energy Laboratory), Ed DeMeo, and Ben Hoen (Lawrence Berkeley National Laboratory). References Retrieved from "http://en.openei.org/w/index.php?title=Wind_Energy_Myths&oldid=700129"

203

New England Wind Forum: Technical Challenges  

Wind Powering America (EERE)

Technical Challenges Technical Challenges Wind power is by its nature variable, and as a result, it differs from the majority of generation supplying the electric grid. Aspects of this variability are often cited as shortcomings. For instance, the fact that wind power will not be as regularly and reliably available at system peak times as most other generators is sometimes used to argue that wind power requires additional backup resources by other generation on a one-to-one basis. And wind's relatively low capacity factor (a ratio of the total energy output relative to the theoretical sustained peak output) is sometimes used to characterize wind generators as inefficient. It's been stated that other generation will have to be operated in such an inefficient manner to react to wind that it will not reduce fossil fuel usage or emissions. Here we address concerns that wind power's variability will eradicate any expected benefit.

204

Microsoft Word - 080530Wind.doc  

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

FOR IMMEDIATE RELEASE FOR IMMEDIATE RELEASE Jennifer Scoggins, (202) 586-4940 Thursday, May 29, 2008 U.S. Continues to Lead the World in Wind Power Growth DOE Report Shows Rapidly Growing U.S. Wind Power Market WASHINGTON - The U.S. Department of Energy (DOE) today released the 2007 edition of its Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends, which provides a comprehensive overview of developments in the rapidly evolving U.S. wind power market. Notably, the report finds that U.S. wind power capacity increased by 46 percent in 2007, with $9 billion invested in U.S. wind plants in 2007 alone, making the U.S. the fastest-growing wind power market in the world for the third straight

205

EIA - Electricity Generating Capacity  

U.S. Energy Information Administration (EIA) Indexed Site

imports and exports. Renewable & Alternative Fuels Includes hydropower, solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium Uranium fuel, nuclear reactors, generation,...

206

Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2007  

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

7 7 Contents Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 U.S. Wind Power Capacity Surged by 46% in 2007, with 5,329 MW Added and $9 Billion Invested . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 Wind Power Contributed 35% of All New U.S. Electric Generating Capacity in 2007 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 The United States Continued to Lead the World in Annual Capacity Growth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 Texas Easily Exceeded Other States in Annual Capacity Growth . . . . . . .6 Data from Interconnection Queues Demonstrate that an Enormous Amount of Wind Capacity Is Under Development . . . . . . . . . .9 GE Wind Remained the Dominant Turbine Manufacturer, but a Growing Number of Other Manufacturers Are Capturing Market Share .

207

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

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

Power Economics: Past, Present, Power Economics: Past, Present, and Future Trends Wind Powering America Webinar: Wind Power Economics: Past, Present, and Future Trends November 23, 2011 - 1:43pm Addthis Wind turbine prices in the United States have declined, on average, by nearly one-third since 2008, after doubling from 2002 through 2008. Over this entire period, the average nameplate capacity rating, hub height, and rotor swept area of turbines installed in the United States have increased significantly, while other design improvements have also boosted turbine energy production. In combination, these various trends have had a significant-and sometimes surprising-impact on the levelized cost of energy delivered by wind projects. This webinar will feature three related presentations that explore these

208

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
209

Extreme Winds and Wind Effects on Structures  

Science Conference Proceedings (OSTI)

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

2010-10-04T23:59:59.000Z

210

Wind Power Plant Monitoring Project Annual Report  

DOE Green Energy (OSTI)

The intermittent nature of the wind resource, together with short-term power fluctuations, are the two principal issues facing a utility with wind power plants in its power grid. To mitigate these issues, utilities, wind power plant developers, and operators need to understand the nature of wind power fluctuations and how they affect the electrical power system, as well as to analyze ancillary service requirements with real wind power plant output data. To provide the necessary data, NREL conducted a study to collect at least 2 years of long-term, high-frequency (1-hertz [Hz]) data from several medium- to large-scale wind power plants with different wind resources, terrain features, and turbine types. Researchers then analyzed the data for power fluctuations, frequency distribution of wind power (by deriving a probability distribution function of wind power plant output variations), spatial and temporal diversity of wind power, and wind power capacity credit issues. Results of these analyses can provide data on the potential effects of wind power plants on power system regulation.

Wan, Y.

2001-07-11T23:59:59.000Z

211

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"

212

2009 Wind Technologies Market Report  

Science Conference Proceedings (OSTI)

The U.S. wind power industry experienced yet another record year in 2009, once again surpassing even optimistic growth projections from years past. At the same time, 2009 was a year of upheaval, with the global financial crisis impacting the wind power industry and with federal policy changes enacted to push the industry toward continued aggressive expansion. The year 2010, meanwhile, is anticipated to be one of some retrenchment, with expectations for fewer wind power capacity additions than seen in 2009. The rapid pace of development and change within the industry has made it difficult to keep up with trends in the marketplace, yet the need for timely, objective information on the industry and its progress has never been greater. This report - the fourth in an ongoing annual series - attempts to meet this need by providing a detailed overview of developments and trends in the United States wind power market, with a particular focus on 2009.

Wiser, R.; Bolinger, M.

2010-08-01T23:59:59.000Z

213

New England Wind Forum: Cost Trends  

Wind Powering America (EERE)

Cost Trends Cost Trends Figure 1: Cost of Energy and Cumulative Domestic Capacity This graph shows how the cumulative domestic wind capacity (MW) has increased since 1980, while the cost of energy from wind power has declined by a factor of approximately 20 times during the same period but has increased slightly since 2001. Click on the image to view a larger version. This graph shows how the cumulative domestic wind capacity (MW) has increased since 1980, while the cost of energy from wind power has declined by a factor of approximately 20 times during the same period but has increased slightly since 2001. View a larger version of the graph. Overall, the wind industry is experiencing long-term decreases in the cost to produce wind-generated electricity (Figure 1), despite recent short-term increases in upfront equipment costs. Even in the short term, however, the effect of increases in up-front capital costs on the cost of energy from wind power projects has been dampened by improvements in energy capture from the wind and decreases in operating and maintenance costs.

214

Wind Energy Leasing Handbook  

E-Print Network (OSTI)

Wind Energy Leasing Handbook Wind Energy Leasing Handbook E-1033 Oklahoma Cooperative Extension?..................................................................................................................... 31 What do wind developers consider in locating wind energy projects?............................................................................................ 37 How do companies and individuals invest in wind energy projects?....................................................................

Balasundaram, Balabhaskar "Baski"

215

CALCULATING EMISSIONS REDUCTIONS FROM RENEWABLE ENERGY PROGRAMS AND ITS APPLICATION TO THE WIND FARMS IN THE TEXAS ERCOT REGION  

E-Print Network (OSTI)

In August 2008 the Texas State Legislature required adding 5,880 MW of generating capacity from renewable energy technologies by 2015, and 500 MW from non-wind renewables. This legislation also required the Public Utility Commission (PUC) to establish a target of 10,000 MW of installed renewable capacity by 2025, and required the Texas Commission on Environmental Quality (TCEQ) to develop a methodology for computing emission reductions from renewable energy initiatives and the associated credits. In this legislation the Energy Systems Laboratory is required to assist the TCEQ to quantify emission reduction credits from energy efficiency and renewable energy programs. To satisfy these requirements the ESL has been developing and refining a method to calculate annually creditable emissions reductions from wind and other renewable energy resources for the TCEQ. This paper provides a detailed description of an improved methodology developed to calculate the emissions reductions from electricity provided by a wind farm. Details are presented for the wind farm Sweetwater I (Abilene) as well as results from the application of this procedure to all the wind energy providers in the Texas ERCOT region in 2006.

Liu, Z.; Haberl, J.; Baltazar, J. C.; Culp, C.; Yazdani, B.; Chandrasekaran, V.

2008-12-01T23:59:59.000Z

216

Advanced Wind Turbine Technology Assessment 2010  

Science Conference Proceedings (OSTI)

Wind power is one of the fastest growing generation resources in the United States and elsewhere in the world. As of December 2009, installed wind capacity was over 35 GW in the United States and over 160 GW worldwide; and it is forecast to nearly triple to 100 GW in the United States and to 450 GW worldwide by 2014. The worldwide potential for new wind project development remains enormous. The industry expects wind to become a significant component of future power generation portfolios, both to reduce d...

2010-12-31T23:59:59.000Z

217

Wind Powering America: New England Wind Forum  

Wind Powering America (EERE)

About the New England Wind Forum About the New England Wind Forum New England Wind Energy Education Project Historic Wind Development in New England State Activities Projects in New England Building Wind Energy in New England Wind Resource Wind Power Technology Economics Markets Siting Policy Technical Challenges Issues Small Wind Large Wind Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share The New England Wind Forum was conceived in 2005 as a platform to provide a single, comprehensive and objective source of up-to-date, Web-based information on a broad array of wind-energy-related issues pertaining to New England. The New England Wind Forum provides information to wind energy stakeholders through Web site features, periodic newsletters, and outreach activities. The New England Wind Forum covers the most frequently discussed wind energy topics.

218

Modeling Capacity Reservation Contract  

E-Print Network (OSTI)

In this paper we model a scenario where a chip designer (buyer) buys capacity from chip manufacturers (suppliers) in the presence of demand uncertainty faced by the buyer. We assume that the buyer knows the probability distribution of his demand. The supplier offers the buyer to reserve capacity in advance at a price that is lower than the historical average of the spot price. The suppliers price (if the buyer reserves capacity in advance) is function of her capacity, demand for her capacity, unit production cost, the average spot market price and the amount of capacity reserved by the buyer. Based on these parameters we derive the price the suppliers will charge. We formulate the problem from the buyers perspective. The buyers decisions are how much capacity to reserve and from how many suppliers. The optimal solution is obtained numerically. Our model addresses the following issues that are not covered in the current literature on capacity reservation models. In the existing literature the suppliers price is an exogenous parameter. We model the suppliers price from relevant parameters mentioned above. This makes our model richer. For example, if the expected capacity utilization for the supplier is likely to be low then the supplier will charge a lower price for capacity reservation. In reality, the buyer sources from multiple suppliers. Most mathematical models on capacity reservation, we are aware of, assumes a single buyer and a single supplier. We generalize this to a single buyer and multiple suppliers.

Jishnu Hazra; B. Mahadevan; Sudhi Seshadri

2002-01-01T23:59:59.000Z

219

Global wind energy market report. Wind energy industry grows at steady pace, adds over 8,000 MW in 2003  

Science Conference Proceedings (OSTI)

Cumulative global wind energy generating capacity topped 39,000 megawatts (MW) by the end of 2003. New equipment totally over 8,000 MW in capacity was installed worldwide during the year. The report, updated annually, provides information on the status of the wind energy market throughout the world and gives details on various regions. A listing of new and cumulative installed capacity by country and by region is included as an appendix.

anon.

2004-03-01T23:59:59.000Z

220

Wind Power Integration Technology Assessment and Case Studies  

Science Conference Proceedings (OSTI)

Application of power electronics, energy storage, and other wind integration technologies can mitigate the impacts of adding large blocks of wind generation and raise the amount of wind capacity that can be connected to the grid without adversely affecting grid reliability, reserve and regulation requirements, and ancillary service costs. The engineering and economic data and case studies presented in this report can be used to address the available wind integration technology options.

2004-03-30T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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

California Regional Wind Energy Forecasting System Development, Vol. 3  

Science Conference Proceedings (OSTI)

The rated capacity of wind generation in California is expected to grow rapidly in the future beyond the approximately 2100 MW in place at the end of 2005. The main drivers are the state's 20 percent Renewable Portfolio Standard requirement in 2010 and the low cost of wind energy relative to other renewable energy sources. As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forecasting ...

2006-11-15T23:59:59.000Z

222

2009 Wind Technologies Market Report  

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

9 Wind Technologies Market Report 9 Wind Technologies Market Report Title 2009 Wind Technologies Market Report Publication Type Report Refereed Designation Unknown Year of Publication 2010 Authors Wiser, Ryan H., Mark Bolinger, Galen L. Barbose, Naïm Darghouth, Ben Hoen, Andrew D. Mills, Kevin Porter, Sari Fink, and Suzanne Tegen Pagination 88 Date Published 08/2010 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department, power system economics, renewable energy, wind power Abstract The U.S. wind power industry experienced yet another record year in 2009, once again surpassing even optimistic growth projections from years past. At the same time, 2009 was a year of upheaval, with the global financial crisis impacting the wind power industry and with federal policy changes enacted to push the industry towards continued aggressive expansion. The year 2010, meanwhile, is anticipated to be one of some retrenchment, with expectations for fewer wind power capacity additions than seen in 2009. The rapid pace of development and change within the industry has made it difficult to keep up with trends in the marketplace, yet the need for timely, objective information on the industry and its progress has never been greater.

223

Wind News  

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

news Office of Energy Efficiency & Renewable news Office of Energy Efficiency & Renewable Energy Forrestal Building 1000 Independence Avenue, SW Washington, DC 20585 en New Report Shows Trend Toward Larger Offshore Wind Systems, with 11 Advanced Stage Projects Proposed in U.S. Waters http://energy.gov/eere/articles/new-report-shows-trend-toward-larger-offshore-wind-systems-11-advanced-stage-projects wind-systems-11-advanced-stage-projects" class="title-link">New Report Shows Trend Toward Larger Offshore Wind Systems, with 11 Advanced Stage Projects Proposed in U.S. Waters

224

Wind Power  

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

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

225

An assessment of the economic impact of the wind turbine supply chain in Illinois  

SciTech Connect

The enormous growth of wind energy in Illinois and around the country has led to a shortage of wind turbines. Turbine manufacturers have sold out their capacity into 2010. To the extent that Illinois manufacturing can integrate itself into the wind turbine supply chain, Illinois can enjoy the economic benefits from both having wind farms and supplying the parts to build them. (author)

Carlson, J. Lon; Loomis, David G.; Payne, James

2010-08-15T23:59:59.000Z

226

Systems Performance Analyses of Alaska Wind-Diesel Projects; Kasigluk, Alaska (Fact Sheet)  

DOE Green Energy (OSTI)

This fact sheet summarizes a systems performance analysis of the wind-diesel project in Kasigluk, Alaska. Data provided for this project include community load data, average wind turbine output, average diesel plant output, thermal load data, average net capacity factor, average net wind penetration, estimated fuel savings, and wind system availability.

Baring-Gould, I.

2009-04-01T23:59:59.000Z

227

Texas Wind Energy Forecasting System Development and Testing: Phase 2: 12-Month Testing  

Science Conference Proceedings (OSTI)

Wind energy forecasting systems are expected to support system operation in cases where wind generation contributes more than a few percent of total generating capacity. This report presents final results from the Texas Wind Energy Forecasting System Development and Testing Project at a 75-MW wind project in west Texas.

2004-09-30T23:59:59.000Z

228

Systems Performance Analyses of Alaska Wind-Diesel Projects; St. Paul, Alaska (Fact Sheet)  

DOE Green Energy (OSTI)

This fact sheet summarizes a systems performance analysis of the wind-diesel project in St. Paul, Alaska. Data provided for this project include load data, average wind turbine output, average diesel plant output, dump (controlling) load, average net capacity factor, average net wind penetration, estimated fuel savings, and wind system availability.

Baring-Gould, I.

2009-04-01T23:59:59.000Z

229

Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara a  

E-Print Network (OSTI)

Data Bank Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara December 2010 Keywords: Wind Wind speed Energy Capacity factor Electricity Chile a b s t r a c t Bearing role in any future national energy generation matrix. With a view to understanding the local wind

Catholic University of Chile (Universidad Católica de Chile)

230

Commercial Scale Wind Incentive Program | Department of Energy  

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

Commercial Scale Wind Incentive Program Commercial Scale Wind Incentive Program Commercial Scale Wind Incentive Program < Back Eligibility Agricultural Commercial Local Government Nonprofit Residential Schools State Government Savings Category Wind Buying & Making Electricity Maximum Rebate Project Development Assistance: $40,000 Program Info State Oregon Program Type State Rebate Program Rebate Amount Varies Provider Energy Trust of Oregon Energy Trust of Oregon's Commercial Scale Wind offering provides resources and cash incentives to help communities, businesses land owners, and government entities install wind turbine systems up to 20 megawatts (MW) in capacity. Projects may consist of a single turbine or a small group of turbines. A variety of ownership models are allowed. Incentive programs

231

An Intercomparison of TOPEX, NSCAT, and ECMWF Wind Speeds: Illustrating and Understanding Systematic Discrepancies  

Science Conference Proceedings (OSTI)

The availability of multiple satellite missions with wind measuring capacity has made it more desirable than ever before to integrate wind data from various sources in order to achieve an improved accuracy, resolution, and duration. A clear ...

Ge Chen

2004-03-01T23:59:59.000Z

232

Increasing State Capacity Through Clans  

E-Print Network (OSTI)

their role in increasing state capacity With the decline ofhere focus on state capacity and the associated discussionselements of state capacity during the transition from one

Doyle, Jr, Thomas Martin

2009-01-01T23:59:59.000Z

233

Natural Gas Underground Storage Capacity (Summary)  

Gasoline and Diesel Fuel Update (EIA)

Salt Caverns Storage Capacity Aquifers Storage Capacity Depleted Fields Storage Capacity Total Working Gas Capacity Working Gas Capacity of Salt Caverns Working Gas Capacity of...

234

Capacity Markets for Electricity  

E-Print Network (OSTI)

Designing Markets for Electricity. Wiley IEEE Press. [25]in the England and Wales Electricity Market, Power WorkingFelder (1996), Should Electricity Markets Have a Capacity

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

235

ORISE: Capacity Building  

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

Capacity Building Because public health agencies must maintain the resources to respond to public health challenges, critical situations and emergencies, the Oak Ridge Institute...

236

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.

237

Wind Program: Stakeholder Engagement and Outreach  

Wind Powering America (EERE)

Outreach Outreach Printable Version Bookmark and Share The Stakeholder Engagement and Outreach initiative of the U.S. Department of Energy's Wind Program is designed to educate, engage, and enable critical stakeholders to make informed decisions about how wind energy contributes to the U.S. electricity supply. Highlights Resources Wind Resource Maps State Activities What activities are happening in my state? AK AL AR AZ CA CO CT DC DE FL GA HI IA ID IL IN KS KY LA MA MD ME MI MN MO MS MT NC ND NE NH NJ NM NV NY OH OK OR PA RI SC SD TN TX UT VA VT WA WI WV WY Installed wind capacity maps. Features A image of a house with a residential-scale small wind turbine. Small Wind for Homeowners, Farmers, and Businesses Stakeholder Engagement & Outreach Projects

238

Evaluation of Advanced Wind Power Forecasting Models Results of the Anemos Project  

E-Print Network (OSTI)

capacity of 33.09 MW distributed on 49 Gamesa G47-660 wind turbines and one Lagerwey LW750 turbine. The RIX (digital terrain maps with elevation and roughness, wind farm layout, wind turbine power and thrust curves of the Baltic Sea. The wind farm consists of 2 Nordtank NTK500/41 turbines with a total rated capacity of 1.0 MW

Paris-Sud XI, Université de

239

U.S. Wind Industry Continues to Expand | Department of Energy  

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

Wind Industry Continues to Expand Wind Industry Continues to Expand U.S. Wind Industry Continues to Expand October 23, 2012 - 1:35am Addthis Erin R. Pierce Erin R. Pierce Digital Communications Specialist, Office of Public Affairs What are the key facts? In August 2012, for the first time ever, the U.S. wind industry surpassed 50,000 megawatts of generation capacity. So far in 2012, U.S. wind power installations are up 40% compared to the same time period in 2011. The U.S. wind industry is experiencing its strongest year in history -- so finds a new report from the American Wind Energy Association (AWEA). According to AWEA's Third Quarter 2012 Market Report, U.S. wind power capacity increased significantly in 2012 -- up 40 percent compared to 2011. Overall, wind capacity installations increased to 51,630 MW -- enough to

240

NREL: Wind Research - Wind Resource Assessment  

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

Wind Resource Assessment Wind Resource Assessment A map of the United States is color-coded to indicate the high winds at 80 meters. This map shows the wind resource at 80 meters for both land-based and offshore wind resources in the United States. Correct estimation of the energy available in the wind can make or break the economics of wind plant development. Wind mapping and validation techniques developed at the National Wind Technology Center (NWTC) along with collaborations with U.S. companies have produced high-resolution maps of the United States that provide wind plant developers with accurate estimates of the wind resource potential. State Wind Maps International Wind Resource Maps Dynamic Maps, GIS Data, and Analysis Tools Due to the existence of special use airspace (SUA) (i.e., military airspace

Note: This page contains sample records for the topic "wind capacity targets" 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

New England Wind Forum: Wind Power Technology  

Wind Powering America (EERE)

Wind Power Technology Wind Power Technology Modern wind turbines have become sophisticated power plants while the concept of converting wind energy to electrical energy remains quite simple. Follow these links to learn more about the science behind wind turbine technology. Wind Power Animation An image of a scene from the wind power animation. The animation shows how moving air rotates a wind turbine's blades and describes how the internal components work to produce electricity. It shows small and large wind turbines and the differences between how they are used, as stand alone or connected to the utility grid. How Wind Turbines Work Learn how wind turbines make electricity; what are the types, sizes, and applications of wind turbines; and see an illustration of the components inside a wind turbine.

242

Balancing of Wind Power.  

E-Print Network (OSTI)

?? In the future, renewable energy share, especially wind power share, in electricity generation is expected to increase. Due to nature of the wind, wind (more)

lker, Muhammed Akif

2011-01-01T23:59:59.000Z

243

Wind-Stress Coefficients at Light Winds  

Science Conference Proceedings (OSTI)

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

Jin Wu

1988-12-01T23:59:59.000Z

244

Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006  

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

6 6 Contents Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 U.S. Wind Power Capacity Increased by 27% in 2006 . . . . . . . . . . . . . . . .4 The United States Leads the World in Annual Capacity Growth . . . . . . . .4 Texas, Washington, and California Lead the U.S. in Annual Capacity Growth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 GE Wind Is the Dominant Turbine Manufacturer, with Siemens Gaining Market Share . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6 Average Turbine Size Continues to Increase . . . . . . . . . . . . . . . . . . . . . . .7 Developer Consolidation Accelerates . . . . . . . . . . . . . . . . . . . . . . . . . . . .8 Innovation and Competition in Non-Utility Wind Financing Persists . . . .9 Utility Interest in Wind Asset Ownership Strengthens; Community Wind Grows Modestly . . . . . . . . . . . .

245

Rock River LLC Wind Farm | Open Energy Information  

Open Energy Info (EERE)

River LLC Wind Farm River LLC Wind Farm Jump to: navigation, search The Rock River LLC Wind Farm is in Carbon County, Wyoming. It consists of 50 turbines and has a total capacity of 50 MW. It is owned by Shell Wind Energy.[1] Based on assertions that the site is near Arlington, its approximate coordinates are 41.5946899°, -106.2083459°.[2] References ↑ http://www.wsgs.uwyo.edu/Topics/EnergyResources/wind.aspx ↑ http://www.thefreelibrary.com/Shell+WindEnergy+Acquires+Second+Wind+Farm+in+the+U.S.,+in+an...-a082345438 Retrieved from "http://en.openei.org/w/index.php?title=Rock_River_LLC_Wind_Farm&oldid=132230" Category: Wind Farms What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

246

Fact Sheet: Multilateral Solar and Wind Working Group | Department of  

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

Multilateral Solar and Wind Working Group Multilateral Solar and Wind Working Group Fact Sheet: Multilateral Solar and Wind Working Group A fact sheet detailling the development of a Multilateral Solar and Wind Working Group to promote accelerated deployment of solar and wind technologies by implementing recommendations from the MEF Technology Action Plan on Solar and Wind Technologies that was released by the Major Economies Forum Global Partnership in December 2009. The Multilateral Solar and Wind Working Group will focus its initial work on developing a Global Atlas for Solar and Wind Energy and a corresponding Long-Term Strategy on Joint Capacity Building. Fact Sheet: Multilateral Solar and Wind Working Group More Documents & Publications Renewables-Fact-Sheet.pdf Clean Energy Ministerial Press Fact Sheer

247

Capacity on Finsler Spaces  

E-Print Network (OSTI)

Here, the concept of electric capacity on Finsler spaces is introduced and the fundamental conformal invariant property is proved, i.e. the capacity of a compact set on a connected non-compact Finsler manifold is conformal invariant. This work enables mathematicians and theoretical physicists to become more familiar with the global Finsler geometry and one of its new applications.

Bidabad, B

2009-01-01T23:59:59.000Z

248

Liquid heat capacity lasers  

DOE Patents (OSTI)

The heat capacity laser concept is extended to systems in which the heat capacity lasing media is a liquid. The laser active liquid is circulated from a reservoir (where the bulk of the media and hence waste heat resides) through a channel so configured for both optical pumping of the media for gain and for light amplification from the resulting gain.

Comaskey, Brian J. (Walnut Creek, CA); Scheibner, Karl F. (Tracy, CA); Ault, Earl R. (Livermore, CA)

2007-05-01T23:59:59.000Z

249

U.S. wind generation increased 27% in 2011 - Today in Energy - U.S ...  

U.S. Energy Information Administration (EIA)

Generation from wind turbines in the United States increased 27% in 2011 compared to 2010, continuing a trend of rapid growth. During the past five years capacity ...

250

Surpassing Expectations: State of the U.S. Wind Power Market  

E-Print Network (OSTI)

Wind Power Rankings: The Top 20 States Incremental Capacity (2007, MW) Texas Colorado Illinois Oregon Minnesota Washington Iowa North Dakota Oklahoma

Bolinger, Mark A

2009-01-01T23:59:59.000Z

251

Wind turbine  

DOE Patents (OSTI)

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

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

1982-01-01T23:59:59.000Z

252

Wind power forecasting : state-of-the-art 2009.  

DOE Green Energy (OSTI)

Many countries and regions are introducing policies aimed at reducing the environmental footprint from the energy sector and increasing the use of renewable energy. In the United States, a number of initiatives have been taken at the state level, from renewable portfolio standards (RPSs) and renewable energy certificates (RECs), to regional greenhouse gas emission control schemes. Within the U.S. Federal government, new energy and environmental policies and goals are also being crafted, and these are likely to increase the use of renewable energy substantially. The European Union is pursuing implementation of its ambitious 20/20/20 targets, which aim (by 2020) to reduce greenhouse gas emissions by 20% (as compared to 1990), increase the amount of renewable energy to 20% of the energy supply, and reduce the overall energy consumption by 20% through energy efficiency. With the current focus on energy and the environment, efficient integration of renewable energy into the electric power system is becoming increasingly important. In a recent report, the U.S. Department of Energy (DOE) describes a model-based scenario, in which wind energy provides 20% of the U.S. electricity demand in 2030. The report discusses a set of technical and economic challenges that have to be overcome for this scenario to unfold. In Europe, several countries already have a high penetration of wind power (i.e., in the range of 7 to 20% of electricity consumption in countries such as Germany, Spain, Portugal, and Denmark). The rapid growth in installed wind power capacity is expected to continue in the United States as well as in Europe. A large-scale introduction of wind power causes a number of challenges for electricity market and power system operators who will have to deal with the variability and uncertainty in wind power generation when making their scheduling and dispatch decisions. Wind power forecasting (WPF) is frequently identified as an important tool to address the variability and uncertainty in wind power and to more efficiently operate power systems with large wind power penetrations. Moreover, in a market environment, the wind power contribution to the generation portofolio becomes important in determining the daily and hourly prices, as variations in the estimated wind power will influence the clearing prices for both energy and operating reserves. With the increasing penetration of wind power, WPF is quickly becoming an important topic for the electric power industry. System operators (SOs), generating companies (GENCOs), and regulators all support efforts to develop better, more reliable and accurate forecasting models. Wind farm owners and operators also benefit from better wind power prediction to support competitive participation in electricity markets against more stable and dispatchable energy sources. In general, WPF can be used for a number of purposes, such as: generation and transmission maintenance planning, determination of operating reserve requirements, unit commitment, economic dispatch, energy storage optimization (e.g., pumped hydro storage), and energy trading. The objective of this report is to review and analyze state-of-the-art WPF models and their application to power systems operations. We first give a detailed description of the methodologies underlying state-of-the-art WPF models. We then look at how WPF can be integrated into power system operations, with specific focus on the unit commitment problem.

Monteiro, C.; Bessa, R.; Miranda, V.; Botterud, A.; Wang, J.; Conzelmann, G.; Decision and Information Sciences; INESC Porto

2009-11-20T23:59:59.000Z

253

capacity | OpenEI  

Open Energy Info (EERE)

capacity capacity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 9, and contains only the reference case. The dataset uses gigawatts. The data is broken down into power only, combined heat and power, cumulative planned additions, cumulative unplanned conditions, and cumulative retirements and total electric power sector capacity . Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO capacity consumption EIA Electricity generating Data application/vnd.ms-excel icon AEO2011: Electricity Generating Capacity- Reference Case (xls, 130.1 KiB) Quality Metrics Level of Review Peer Reviewed Comment

254

Battery capacity indicator  

SciTech Connect

This patent describes a battery capacity indicator for providing a continuous indication of battery capacity for a battery powered device. It comprises means for periodically effecting a first and a second positive discharge rate of the battery; voltage measurement means, for measuring the battery terminal voltage at the first and second positive discharge rates during the operation of the device, and for generating a differential battery voltage value in response thereto; memory means for storing a set of predetermined differential battery voltage values and a set of predetermined battery capacity values, each of the set of predetermined differential battery voltage values defining one of the set of predetermined battery capacity values; comparison means, coupled to the memory means and to the voltage measurement means, for comparing the measured differential battery voltage values with the set of predetermined differential battery voltage values, and for selecting the predetermined battery capacity value corresponding thereto.

Kunznicki, W.J.

1991-07-16T23:59:59.000Z

255

Modeling the Long-Term Market Penetration of Wind in the United States  

DOE Green Energy (OSTI)

This paper presents an overview of the Wind Deployment Systems Model (WinDS). WinDS is a multiregional, multitime-period, Geographic Information System (GIS), and linear programming model of capacity expansion in the electric sector of the United States. WinDS is designed to address the principal market issues related to the penetration of wind energy technologies into the electric sector. These principal market issues include access to and cost of transmission, and the intermittency of wind power. WinDS addresses these issues through a highly discretized regional structure, explicit accounting for the variability in wind output over time, and consideration of ancillary services requirements and costs.

Short, W.; Blair, N.; Heimiller, D.; Singh, V.

2003-07-01T23:59:59.000Z

256

Wind Spires as an Alternative Energy Source  

Science Conference Proceedings (OSTI)

This report discloses the design and development of an innovative wind tower system having an axisymmetric wind deflecting structure with a plurality of symmetrically mounted rooftop size wind turbines near the axisymmetric structure. The purpose of the wind deflecting structure is to increase the ambient wind speed that in turn results in an overall increase in the power capacity of the wind turbines. Two working prototypes were constructed and installed in the summer of 2009 and 2012 respectively. The system installed in the Summer of 2009 has a cylindrical wind deflecting structure, while the tower installed in 2012 has a spiral-shape wind deflecting structure. Each tower has 4 turbines, each rated at 1.65 KW Name-Plate-Rating. Before fabricating the full-size prototypes, computational fluid dynamic (CFD) analyses and scaled-down table-top models were used to predict the performance of the full-scale models. The performance results obtained from the full-size prototypes validated the results obtained from the computational models and those of the scaled-down models. The second prototype (spiral configuration) showed at a wind speed of 11 miles per hour (4.9 m/s) the power output of the system could reach 1,288 watt, when a typical turbine installation, with no wind deflecting structure, could produce only 200 watt by the same turbines at the same wind speed. At a wind speed of 18 miles per hour (8 m/sec), the spiral prototype produces 6,143 watt, while the power generated by the same turbines would be 1,412 watt in the absence of a wind deflecting structure under the same wind speed. Four US patents were allowed, and are in print, as the results of this project (US 7,540,706, US 7,679,209, US 7,845,904, and US 8,002,516).

Majid Rashidi, Ph.D., P.E.

2012-10-30T23:59:59.000Z

257

New England Wind Forum: Large Wind  

Wind Powering America (EERE)

Small Wind Small Wind Large Wind Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share Large Wind When establishing wind farms, wind energy developers generally approach landowners where they want to build. Interest in wind farms is frequently spurred by external pressures such as tax and other financial incentives and legislative mandates. Since each situation is influenced by local policies and permitting, we can only provide general guidance to help you learn about the process of installing wind turbines. Publications Wind Project Development Process Permitting of Wind Energy Facilities: A Handbook. (August 2002). National Wind Coordinating Collaborative. Landowner Frequently Asked Questions and Answers. (August 2003). "State Wind Working Group Handbook." pp. 130-133.

258

NREL: Wind Research - International Wind Resource Maps  

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

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

259

NREL: Wind Research - Wind Project Development Updates  

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

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

260

Characterizing the Effects of High Wind Penetration on a Small Isolated Grid in Arctic Alaska  

DOE Green Energy (OSTI)

This paper examines the operating characteristics of the wind-diesel system in Kotzebue, Alaska, operated by Kotzebue Electric Association (KEA). KEA began incorporating wind power into its 100% diesel generating system in 1997 with three 66 kW wind turbines. In 1999, KEA added another seven 66 kW turbines, resulting in the current wind capacity of 660 kW. KEA is in the process of expanding its wind project again and ultimately expects to operate 2-3 MW of wind capacity. With a peak load of approximately 4 MW and a minimum load of approximately 1.6 MW, the wind penetration is significant. KEA is currently experiencing greater than 35% wind penetration, sometimes for several consecutive hours. This paper discusses the observed wind penetration at KEA and evaluates the effects of wind penetration on power quality on the KEA grid.

Randall, G; Vilhauer, R. (Global Energy Concepts, LLC); Thompson, C. (Thompson Engineering Company)

2001-07-18T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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

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...

262

Topic: Wind Engineering  

Science Conference Proceedings (OSTI)

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

2011-08-31T23:59:59.000Z

263

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

264

Appendix I3-1 to Wind HUI Initiative 1: AWST-WindNET-Phase 1 Final Report  

DOE Green Energy (OSTI)

This report is an appendix to the Hawaii WindHUI efforts to develop and operationalize short-term wind forecasting and wind ramp event forecasting capabilities. The report summarizes the WindNET Phase 1 efforts on the Big Island of Hawaii and includes descriptions of modeling methodologies, use of field validation data, results and recommendations. The objective of the WindNET project was to investigate the improvement that could be obtained in short-term wind power forecasting for wind generation facilities operating on the island grids operated by Hawaiian Electric Companies through the use of atmospheric sensors deployed at targeted locations. WindNET is envisioned as a multiphase project that will address the short-term wind forecasting issues of all of the wind generation facilities on the all of the Hawaiian Electric Companies' island grid systems. The first phase of the WindNET effort (referred to as WindNET-1) was focused on the wind generation facilities on the Big Island of Hawaii. With complex terrain and marine environment, emphasis was on improving the 0 to 6 hour forecasts of wind power ramps and periods of wind variability, with a particular interest in the intra-hour (0-1 hour) look-ahead period. The WindNET project was built upon a foundation that was constructed with the results from a previously completed observation targeting study for the Big Island that was conducted as part of a project supported by the National Renewable Energy Laboratory (NREL) and interactions with the western utilities. The observational targeting study provided guidance on which variables to measure and at what locations to get the most improvement in forecast performance at a target forecast site. The recommendations of the observation targeting study were based on the application two techniques: (1) an objective method called ensemble sensitivity analysis (ESA) (Ancell and Hakim, 2007; Torn and Hakim, 2008; Zack et al, 2010); and (2) a subjective method based on a diagnostic analysis of large ramp events. The analysis was completed for both the wind farm on the southern tip of the Big Island and on the northern tip of the island. The WindNET project was designed to also deploy sensors to validate the Big Island observational targeting study and enhance operator's understanding of predominate causes of wind variability conditions at the wind facilities. Compromises had to be made with the results from the observation targeting study to accommodate project resource limitations, availability of suitable sites, and other factors. To focus efforts, field sensor deployment activities focused on the wind facility on the southern point of Big Island.

John Zack

2012-07-15T23:59:59.000Z

265

Wind Development on Tribal Lands  

SciTech Connect

Background: The Rosebud Sioux Tribe (RST) is located in south central South Dakota near the Nebraska border. The nearest community of size is Valentine, Nebraska. The RST is a recipient of several Department of Energy grants, written by Distributed Generation Systems, Inc. (Disgen), for the purposes of assessing the feasibility of its wind resource and subsequently to fund the development of the project. Disgen, as the contracting entity to the RST for this project, has completed all the pre-construction activities, with the exception of the power purchase agreement and interconnection agreement, to commence financing and construction of the project. The focus of this financing is to maximize the economic benefits to the RST while achieving commercially reasonable rates of return and fees for the other parties involved. Each of the development activities required and its status is discussed below. Land Resource: The Owl Feather War Bonnet 30 MW Wind Project is located on RST Tribal Trust Land of approximately 680 acres adjacent to the community of St. Francis, South Dakota. The RST Tribal Council has voted on several occasions for the development of this land for wind energy purposes, as has the District of St. Francis. Actual footprint of wind farm will be approx. 50 acres. Wind Resource Assessment: The wind data has been collected from the site since May 1, 2001 and continues to be collected and analyzed. The latest projections indicate a net capacity factor of 42% at a hub height of 80 meters. The data has been collected utilizing an NRG 9300 Data logger System with instrumentation installed at 30, 40 and 65 meters on an existing KINI radio tower. The long-term annual average wind speed at 65-meters above ground level is 18.2 mph (8.1 mps) and 18.7 mph (8.4 mps) at 80-meters agl. The wind resource is excellent and supports project financing.

Ken Haukaas; Dale Osborn; Belvin Pete

2008-01-18T23:59:59.000Z

266

ISO New England Forward Capacity Market (Rhode Island) | Department of  

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

ISO New England Forward Capacity Market (Rhode Island) ISO New England Forward Capacity Market (Rhode Island) ISO New England Forward Capacity Market (Rhode Island) < Back Eligibility Developer Industrial State/Provincial Govt Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Rhode Island Program Type Generating Facility Rate-Making Under the Forward Capacity Market (FCM), ISO New England projects the capacity needs of the region's power system three years in advance and then holds an annual auction to purchase the power resources that will satisfy those future regional requirements. Resources that clear in the auction are obligated to provide power or curtail demand when called upon by the ISO. The Forward Capacity Market was developed by ISO New England, the six New

267

GIS Method for Developing Wind Supply Curves  

DOE Green Energy (OSTI)

This report describes work conducted by the National Renewable Energy Laboratory (NREL) as part of the Wind Technology Partnership (WTP) sponsored by the U.S. Environmental Protection Agency (EPA). This project has developed methods that the National Development and Reform Commission (NDRC) intends to use in the planning and development of China's 30 GW of planned capacity. Because of China's influence within the community of developing countries, the methods and the approaches here may help foster wind development in other countries.

Kline, D.; Heimiller, D.; Cowlin, S.

2008-06-01T23:59:59.000Z

268

NREL: Wind Research - Small Wind Turbine Webinars  

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

Small Wind Turbine Webinars Small Wind Turbine Webinars Here you will find webinars about small wind turbines that NREL hosted. Introducing WindLease(tm): Making Wind Energy Affordable NREL and the American Solar Energy Society (ASES) Wind Division co-hosted this webinar. (Text Version.) Date: August 1, 2013 Run Time: 40 minutes Joe Hess, VP of Business Development at United Wind, described United Wind's WindQuote and WindLease Program and explained the process from the dealer's and consumer's perspective. Texas Renewable Energy Industries Association NREL and the American Solar Energy Society (ASES) Wind Division co-hosted this webinar. (Text Version). Date: March 7, 2013 Run Time: 1 hour Russel Smith, Texas Renewable Energy Industries Association executive director and co-founder, provided an overview of the trade association

269

New England Wind Forum: Small Wind  

Wind Powering America (EERE)

Wind for Schools Project Funding Case Studies: Thomas Harrison Middle School, Virginia Wind for Schools Project Funding Case Studies: Thomas Harrison Middle School, Virginia August 26, 2013 Workshop Explores Information's Role in Wind Project Siting: A Wind Powering America Success Story November 19, 2012 More News Subscribe to News Updates Events Renewable Energy Market Update Webinar January 29, 2014 Strategic Energy Planning: Webinar February 26, 2014 Introduction to Wind Systems March 10, 2014 More Events Publications 2012 Market Report on Wind Technologies in Distributed Applications August 12, 2013 More Publications Features Sign up for the New England Wind Forum Newsletter. New England Wind Forum About the New England Wind Forum New England Wind Energy Education Project Historic Wind Development in New England State Activities Projects in New England

270

NREL: Wind Research - Small Wind Turbine Development  

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

Small Wind Turbine Development Small Wind Turbine Development A photo of Southwest Windpower's Skystream wind turbine in front of a home. PIX14936 Southwest Windpower's Skystream wind turbine. A photo of the Endurance wind turbine. PIX15006 The Endurance wind turbine. A photo of the Atlantic Orient Corporation 15/50 wind turbine at the National Wind Technology Center. PIX07301 The Atlantic Orient Corporation 15/50 wind turbine at the National Wind Technology Center. NREL supports continued market expansion of small wind turbines by funding manufacturers through competitive solicitations (i.e., subcontracts and/or grants) to refine prototype systems leading to commercialization. Learn more about the turbine development projects below. Skystream NREL installed and tested an early prototype of this turbine at the

271

Capacity Markets for Electricity  

E-Print Network (OSTI)

Global Agenda, August 15. [6] FERC, Docket No. EL01-63-003,at http://www.pjm.com. [7] FERC, Docket No. ER01-1440-capacity of the others (FERC, 2001). Therefore, if an LSE

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

272

Lateral Capacity Exchange and Its Impact on Capacity Investment Decisions  

E-Print Network (OSTI)

We study the problem of capacity exchange between two rms in anticipation of the mismatch between demand and capacity and its impact on rms capacity investment decisions. For given capacity investment levels of the two rms, we demonstrate how capacity price may be determined and how much capacity should be exchanged when either manufacturer acts as a Stackelberg leader in the capacity exchange game. By benchmarking against the centralized system, we show that a side payment may be used to coordinate the capacity exchange decisions. We then study the rmscapacity investment decisions using a biform game framework in which capacity investment decisions are made individually and exchange decisions are made as in a centralized system. We demonstrate the existence and uniqueness of the Nash equilibrium capacity investment levels and study the impact of rmsshare of the capacity exchange surplus on their capacity investment levels.

Amiya K. Chakravartyz; Jun Zhangy

2005-01-01T23:59:59.000Z

273

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

274

Production Targets  

E-Print Network (OSTI)

Hall (2005), Prices, Production, and Inventories over theProduction Targets ? Guillermo Caruana CEMFI caruana@cem?.esthe theory using monthly production targets of the Big Three

Caruana, Guillermo; Einav, Liran

2005-01-01T23:59:59.000Z

275

A Methodology for Calculating Emissions Reductions from Renewable Energy Programs and Its Application to the Wind Farms in the Texas ERCOT Region  

E-Print Network (OSTI)

Recently Texas Legislature required adding 5,880 MW of generating capacity from renewable energy technologies by 2015, and 500 MW from non-wind renewables. This legislation also required the Public Utility Commission (PUC) to establish a target of 10,000 MW of installed renewable capacity by 2025, and required Texas Commission on Environmental Quality (TCEQ) to develop a methodology for computing emissions reductions from renewable energy initiatives and the associated credits. In this legislation the Energy Systems Laboratory was to assist the TCEQ to quantify emissions reductions credits from energy efficiency and renewable energy programs. To satisfy these requirements the ESL has been developing and refining a method to annually calculate creditable emissions reductions from wind and other renewable energy resources for the TCEQ. This paper provides a detailed description of the methodology developed to calculate the emissions reductions from electricity provided by a wind farm. Details are presented for the wind farm Sweetwater I as well as results from the application of this procedure to all the wind energy providers in the Texas ERCOT region.

Culp, C.; Haberl, J. S.; Liu, Z.; Subbarao, K.; Baltazar-Cervantes, J. C.; Yazdani, B.

2007-12-01T23:59:59.000Z

276

Forward capacity market CONEfusion  

Science Conference Proceedings (OSTI)

In ISO New England and PJM it was assumed that sponsors of new capacity projects would offer them into the newly established forward centralized capacity markets at prices based on their levelized net cost of new entry, or ''Net CONE.'' But the FCCMs have not operated in the way their proponents had expected. To clear up the CONEfusion, FCCM designs should be reconsidered to adapt them to the changing circumstances and to be grounded in realistic expectations of market conduct. (author)

Wilson, James F.

2010-11-15T23:59:59.000Z

277

Refinery Capacity Report 2007  

Reports and Publications (EIA)

Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; current and projected capacities for atmospheric crude oil distillation, downstream charge, production, and storage capacities. Respondents are operators of all operating and idle petroleum refineries (including new refineries under construction) and refineries shut down during the previous year, located in the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, and other U.S. possessions.

Information Center

2007-06-29T23:59:59.000Z

278

Refinery Capacity Report 2009  

Reports and Publications (EIA)

Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; current and projected capacities for atmospheric crude oil distillation, downstream charge, production, and storage capacities. Respondents are operators of all operating and idle petroleum refineries (including new refineries under construction) and refineries shut down during the previous year, located in the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, and other U.S. possessions.

Information Center

2009-06-25T23:59:59.000Z

279

Refinery Capacity Report 2008  

Reports and Publications (EIA)

Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; current and projected capacities for atmospheric crude oil distillation, downstream charge, production, and storage capacities. Respondents are operators of all operating and idle petroleum refineries (including new refineries under construction) and refineries shut down during the previous year, located in the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, and other U.S. possessions.

Information Center

2008-06-20T23:59:59.000Z

280

Wind Power Price Trends in the United States  

SciTech Connect

For the fourth year in a row, the United States led the world in adding new wind power capacity in 2008, and also surpassed Germany to take the lead in terms of cumulative installed wind capacity. The rapid growth of wind power in the U.S. over the past decade (Figure 1) has been driven by a combination of increasingly supportive policies (including the Federal production tax credit (PTC) and a growing number of state renewables portfolio standards), uncertainty over the future fuel costs and environmental liabilities of natural gas and coal-fired power plants, and wind's competitive position among generation resources. This article focuses on just the last of these drivers - i.e., trends in U.S. wind power prices - over the period of strong capacity growth since 1998.

Bolinger, Mark; Wiser, Ryan

2009-07-15T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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

Evaluating state markets for residential wind systems: Results from an economic and policy analysis tool  

DOE Green Energy (OSTI)

The market for small wind systems in the United States, often defined as systems less than or equal to 100 kW that produce power on the customer side of the meter, is small but growing steadily. The installed capacity of domestic small wind systems in 2002 was reportedly 15-18 MW, though the market is estimated to be growing by as much as 40 percent annually (AWEA, 2002). This growth is driven in part by recent technology advancements and cost improvements and, perhaps more importantly, by favorable policy incentives targeted at small wind systems that are offered in several states. Currently, over half of all states have incentive policies for which residential small wind installations are eligible. These incentives range from low-interest loan programs and various forms of tax advantages to cash rebates that cover as much as 60 percent of the total system cost for turbines 10 kW or smaller installed in residential applications. Most of these incentives were developed to support a ran ge of emerging renewable technologies (most notably photovoltaic systems), and were therefore not specifically designed with small wind systems in mind. As such, the question remains as to which incentive types provide the greatest benefit to small wind systems, and how states might appropriately set the level and type of incentives in the future. Furthermore, given differences in incentive types and levels across states, as well as variations in retail electricity rates and other relevant factors, it is not immediately obvious which states offer the most promising markets for small wind turbine manufacturers and installers, as well as potential residential system owners. This paper presents results from a Berkeley Lab analysis of the impact of existing and proposed state and federal incentives on the economics of grid-connected, residential small wind systems. Berkeley Lab has designed the Small Wind Analysis Tool (SWAT) to compare system economics under current incentive structures a cross all 50 states. SWAT reports three metrics to characterize residential wind economics in each state and wind resource class: (1) Break-Even Turnkey Cost (BTC): The BTC is defined as the aggregate installed system cost that would balance total customer payments and revenue over the life of the system, allowing the customer to ''break-even'' while earning a specified rate of return on the small wind ''investment.'' (2) Simple Payback (SP): The SP is the number of years it takes a customer to recoup a cash payment for a wind system and all associated costs, assuming zero discount on future revenue and payments (i.e., ignoring the time value of money). (3) Levelized Cost of Energy (LCOE): The LCOE is the levelized cost of generating a kWh of electricity over the lifetime of the system, and is calculated assuming a cash purchase for the small wind system and a 5.5 percent real discount rate. This paper presents SWAT results for a 10 kW wind turbine and turbine power production is based on a Bergey Excel system. These results are not directly applicable to turbines with different power curves and rated outputs, especially given the fact that many state incentives are set as a fixed dollar amount, and the dollar per Watt amount will vary based on the total rated turbine capacity.

Edwards, Jennifer L.; Wiser, Ryan; Bolinger, Mark; Forsyth, Trudy

2004-12-01T23:59:59.000Z

282

Estimating the economic value of wind forecasting to utilities  

SciTech Connect

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

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

1995-05-01T23:59:59.000Z

283

WREF 2012: THE PAST AND FUTURE COST OF WIND ENERGY  

E-Print Network (OSTI)

A.C. (2006). WindPACT Turbine Rotor Design Study. NREL/SR-growth of turbine nameplate capacity, hub height, and rotorLarger rotors with reduced turbine loads allowed

Wiser, Ryan

2013-01-01T23:59:59.000Z

284

Large Wind Property Tax Reduction | Department of Energy  

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

reduced the taxable value of centrally-assessed* wind turbines with a capacity of 100 kilowatts (kW) or greater from 10% to 3% of assessed value, resulting in a property tax...

285

WindWaveFloat Final Report  

DOE Green Energy (OSTI)

capacity factor, and greater stability of the electrical power delivered to the grid. The research conducted under this grant investigated the integration of several wave energy device types into the WindFloat platform. Several of the resulting system designs demonstrated technical feasibility, but the size and design constraints of the wave energy converters (technical and economic) make the WindWaveFloat concept economically unfeasible at this time. Not enough additional generation could be produced to make the additional expense associated with wave energy conversion integration into the WindFloat worthwhile.

Alla Weinstein, Dominique Roddier, Kevin Banister

2012-03-30T23:59:59.000Z

286

Wind Turbine Asset Management Technology Assessment  

Science Conference Proceedings (OSTI)

Wind power is one of the fastest growing generation resources in the United States and elsewhere in the world. As of December 2009, the installed wind capacity was more than 35 GW in the United States and more than 160 GW worldwide, and it is forecast to nearly triple to 100 GW and 450 GW, respectively, by 2014. The industry considers the major wind turbine components to be mature commercial technology. However, failures of gearboxes, blades, electrical controls, and other components continue to reduce t...

2010-12-31T23:59:59.000Z

287

7th International Workshop on Large-Scale Integration of Wind Power and on Transmission Networks for Offshore Wind Farms Models for HLI analysis of power systems with  

E-Print Network (OSTI)

export? BACKGROUND The last decade has seen a remarkable increase in the number of wind installations. In Europe, Denmark is amongst the leading countries in wind generation in terms of installed capacity the consequences and challenges of high rates of wind generation from both a technical and economic perspective

Bak-Jensen, Birgitte

288

NREL: Wind Research - News Release Archives  

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

0 0 October 27, 2010 Offshore Wind Energy Poised to Play a Vital Role in Future U.S. Energy Markets A new report analyzes the current state of the offshore wind energy industry in the United States. October 7, 2010 DOE Releases Comprehensive Report on Offshore Wind Power in the United States 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 United States. September 28, 2010 Explosion in Installed Wind Capacity Brings Big Benefits Dave Loomis, Illinois State University Professor of Economics and Center for Renewable Energy Director, in an interview says, "We've grown to this

289

Camden County - Wind Energy Systems Ordinance | Department of Energy  

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

Camden County - Wind Energy Systems Ordinance Camden County - Wind Energy Systems Ordinance Camden County - Wind Energy Systems Ordinance < Back Eligibility Agricultural Commercial Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Utility Savings Category Wind Buying & Making Electricity Program Info State North Carolina Program Type Solar/Wind Permitting Standards In September 2007, Camden County adopted a wind ordinance to regulate the use of wind-energy systems in the county and to describe the conditions by which a permit for installing such a system may be obtained. For the purposes of this ordinance, wind-energy systems are classified as "large" if they consist of one or more turbines with a rated generating capacity of more than 20 kilowatts (kW) and "small" if a project

290

Stakeholder Engagement and Outreach: Wind Resource Maps and Anemometer Loan  

Wind Powering America (EERE)

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

291

Wind Industry Soars to New Heights | Department of Energy  

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

Wind Industry Soars to New Heights Wind Industry Soars to New Heights Wind Industry Soars to New Heights August 5, 2013 - 8:13am Addthis Watch the video to learn more about the new records reached by the U.S. industry as found in the 2012 Wind Technologies Market Report. | Video by Matty Greene, Energy Department. Matty Greene Matty Greene Videographer Wind capacity additions in the United States reached record levels in 2012, as detailed in the 2012 Wind Technologies Market Report. In a video narrated by Jose Zayas, Director of the Energy Department's Wind and Water Power Technologies Office, he highlights the wind energy accomplishments in 2012. This includes adding 13 gigawatts in new installations -- enough to surpass any other country -- as well as employing 80,000 American workers. After watching the video, make sure to checkout the report in its entirety

292

Operating Reserves and Wind Power Integration: An International Comparison  

Science Conference Proceedings (OSTI)

The determination of additional operating reserves in power systems with high wind penetration is attracting a significant amount of attention and research. Wind integration analysis over the past several years has shown that the level of operating reserve that is induced by wind is not a constant function of the installed capacity. Observations and analysis of actual wind plant operating data has shown that wind does not change its output fast enough to be considered as a contingency event. However, the variability that wind adds to the system does require the activation or deactivation of additional operating reserves. This paper provides a high-level international comparison of methods and key results from both operating practice and integration analysis, based on the work in International Energy Agency IEA WIND Task 25 on Large-scale Wind Integration. The paper concludes with an assessment of the common themes and important differences, along with recent emerging trends.

Milligan, M.; Donohoo, P.; Lew, D.; Ela, E.; Kirby, B.; Holttinen, H.; Lannoye, E.; Flynn, D.; O'Malley, M.; Miller, N.; Ericksen, P. B.; Gottig, A.; Rawn, B.; Frunt, J.; Kling, W. L.; Gibescu, M.; Gomez-Lazaro, E.; Robitaille, A.; Kamwa, I.

2010-01-01T23:59:59.000Z

293

Map of Wind Farms | OpenEI Community  

Open Energy Info (EERE)

Map of Wind Farms Map of Wind Farms Home > Groups > OpenEI Community Central Graham7781's picture Submitted by Graham7781(1992) Super contributor 14 June, 2012 - 11:01 imported OpenEI OpenEI recently updated the popular Map of Wind Farms page. The page is a valuable map displaying the locations of hundreds of wind farms in the United States. The page also features a new logo for the location of each wind farm. The map uses Google Maps to project each location. Each individual wind farm links through to a page about that particular wind farm with information about whether it is in service, the owner, city and state, and even information about the size and generating capacity of the wind farm. Check out the popular page here Groups: OpenEI Community Central Graham7781's blog

294

Horizon Wind  

E-Print Network (OSTI)

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

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

2009-01-01T23:59:59.000Z

295

Sizing storage and wind generation capacities in remote power systems.  

E-Print Network (OSTI)

??Global adoption of renewable energy is increasing due to growing concern over climate change, increasing costs associated with conventional generation, and decreasing capital investment costs (more)

Gassner, Andy

2010-01-01T23:59:59.000Z

296

IEA WIND 2012 Annual Report Executive Committee of the Implementing Agreement for Co-operation in the Research, Development, and Deployment of Wind Energy Systems  

E-Print Network (OSTI)

of the cooperative research, development, and deployment (R,D&D) efforts of our member governments and organizations. IEA Wind helps advance wind energy in countries representing 85 % of the world's wind generating capacity. In 2012 record capacity additions (MW) were seen in nine member countries, and cooperative research produced five final technical reports as well as many journal articles and conference papers. The technical reports include:

unknown authors

2013-01-01T23:59:59.000Z

297

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

298

NREL: Wind Research - Site Wind Resource Characteristics  

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

Site Wind Resource Characteristics Site Wind Resource Characteristics A graphic showing the location of National Wind Technology Center and its wind power class 2. Click on the image to view a larger version. Enlarge image This graphic shows the wind power class at the National Wind Technology Center. You can download a printable copy. The National Wind Technology Center (NWTC) is on the Great Plains just miles from the Rocky Mountains. The site is flat and covered with short grasses. The terrain and lack of obstructions make the site highly suitable for testing wind turbines. Take a tour of the NWTC and its facilities to better understand its location and layout. Another prime feature of the NWTC is the strong directionality of the wind - most of the strong winds come within a few degrees of 285°. West of

299

Tax Exemption for Wind Energy Generation | Department of Energy  

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

Tax Exemption for Wind Energy Generation Tax Exemption for Wind Energy Generation Tax Exemption for Wind Energy Generation < Back Eligibility Utility Savings Category Wind Buying & Making Electricity Program Info Start Date 7/2001 State West Virginia Program Type Corporate Exemption Rebate Amount Reduction of Business and Occupations (BandO) tax from 40% to 12% of generating capacity Provider West Virginia Division of Energy In March 2007, West Virginia enacted legislation ([http://www.legis.state.wv.us/Bill_Text_HTML/2007_SESSIONS/RS/BILLS/sb441... SB 441]) amending its tax law concerning the business and operation (B&O) tax for wind turbines. Although SB 441 increased the taxable value of wind turbine generating capacity, the taxation level is still significantly lower than that of most other types of electricity generation. For most

300

Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity in California and the Northwest  

SciTech Connect

Wind power production is variable, but also has diurnal and seasonal patterns. These patterns differ between sites, potentially making electric power from some wind sites more valuable for meeting customer loads or selling in wholesale power markets. This paper investigates whether the timing of wind significantly affects the value of electricity from sites in California and the Northwestern United States. We use both measured and modeled wind data and estimate the time-varying value of wind power with both financial and load-based metrics. We find that the potential difference in wholesale market value between better-correlated and poorly correlated wind sites is modest, on the order of 5-10 percent. A load-based metric, power production during the top 10 percent of peak load hours, varies more strongly between sites, suggesting that the capacity value of different wind projects could vary by as much as 50 percent based on the timing of wind alone.

Wiser, Ryan H; Wiser, Ryan H; Fripp, Matthias

2008-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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

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

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

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

302

The Wind Energy Outlook Scenarios 1 India Wind Energy  

E-Print Network (OSTI)

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

unknown authors

2012-01-01T23:59:59.000Z

303

Optimization locations of wind turbines with the particle swarm optimization  

Science Conference Proceedings (OSTI)

In this paper, a new algorithm is presented for the locations of wind turbine in the distribution systems. Technical constraints such as feeder capacity limits, bus voltage, and load balance are considered. The Particle Swarm Optimization(PSO) is applied ... Keywords: distribution system, equivalent current injection, particle swarm optimization, wind turbine

Ming-Tang Tsai; Szu-Wzi Wu

2012-06-01T23:59:59.000Z

304

Ris-R-1118(EN) Power Control for Wind Tur-  

E-Print Network (OSTI)

storage or with an AC/DC converter and battery storage. The AC/DC converter can either be an "add-on" type installations, the cost of the power control is paid back as added wind power capacity value and saved grid reinforcement costs. Different systems for controlling the power output from a wind farm connected to a weak

305

California Regional Wind Energy Forecasting System Development, Volume 2:  

Science Conference Proceedings (OSTI)

The rated capacity of wind generation in California is expected to grow rapidly in the future beyond the approximately 2100 MW in place at the end of 2005. The main drivers are the state's 20 percent renewable portfolio standard requirement in 2010 and the low cost of wind energy relative to other renewable energy sources.

2006-11-15T23:59:59.000Z

306

Refinery Capacity Report  

U.S. Energy Information Administration (EIA) Indexed Site

Refinery Capacity Report Refinery Capacity Report June 2013 With Data as of January 1, 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. Table 1. Number and Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2013

307

Dual capacity reciprocating compressor  

DOE Patents (OSTI)

A multi-cylinder compressor particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor rotation is provided with an eccentric cam on a crank pin under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180[degree] apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons whose connecting rods ride on a crank pin without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation. 6 figs.

Wolfe, R.W.

1984-10-30T23:59:59.000Z

308

Dual capacity reciprocating compressor  

DOE Patents (OSTI)

A multi-cylinder compressor 10 particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor 16 rotation is provided with an eccentric cam 38 on a crank pin 34 under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180.degree. apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons 24 whose connecting rods 30 ride on a crank pin 36 without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation.

Wolfe, Robert W. (Wilkinsburg, PA)

1984-01-01T23:59:59.000Z

309

Refinery Capacity Report  

U.S. Energy Information Administration (EIA) Indexed Site

Refinery Capacity Report Refinery Capacity Report With Data as of January 1, 2013 | Release Date: June 21, 2013 | Next Release Date: June 20, 2014 Previous Issues Year: 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1997 1995 1994 Go Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; and current and projected atmospheric crude oil distillation, downstream charge, and production capacities. Respondents are operators of all operating and idle petroleum refineries (including new refineries under construction) and refineries shut down during the previous year, located in the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, and other U.S. possessions.

310

Energy Basics: Wind Power Animation  

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

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

311

Energy Basics: Wind Energy Resources  

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

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

312

Energy Basics: Wind Energy Technologies  

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

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

313

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....

314

Energy Basics: Wind Energy Technologies  

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

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

315

Solar Wind | Open Energy Information  

Open Energy Info (EERE)

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

316

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Bolinger, Mark

2013-01-01T23:59:59.000Z

317

20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply; Executive Summary (Revised)  

DOE Green Energy (OSTI)

This document is a 21-page summary of the 200+ page analysis that explores one clearly defined scenario for providing 20% of our nation's electricity demand with wind energy by 2030 and contrasts it to a scenario of no new U.S. wind power capacity.

Not Available

2008-12-01T23:59:59.000Z

318

22-10-071RES2020 Implementation of Wind power in  

E-Print Network (OSTI)

2020 project Renewable Energy Sources: Potentials in the EU 27 Member States and Modelling · Upper and lower limits for installed wind capacity and production · Exogenous investments Note EWEA: Wind capacities by end of year. Note: The two sources may be inconsistent. #12;22-10-075RES2020

319

Federal Wind Energy Research Program  

SciTech Connect

The Office of Program Analysis (OPA) undertook an assessment of 55 research projects sponsored by the Federal Wind Energy Research Program. This report summarizes the results of that review. In accordance with statue and policy guidance, the program's research has targeted the sciences of wind turbine dynamics and the development of advanced components and systems. Wind turbine research has focused on atmospheric fluid dynamics, aerodynamics, and structural dynamics. Rating factors including project scientific and technical merit, appropriateness and level of innovation of the technical approach, quality of the project team, productivity, and probable impact on the program's mission. Each project was also given an overall evaluation supported with written comments. 1 fig.

1991-10-01T23:59:59.000Z

320

Wind Vision Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Wind Farm Wind Farm Jump to: navigation, search Name Wind Vision Wind Farm Facility Wind Vision Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Wind Vision Developer Wind Vision Location St. Ansgar IA Coordinates 43.348224°, -92.888816° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.348224,"lon":-92.888816,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "wind capacity targets" 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

High Winds Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Winds Wind Farm Winds Wind Farm Jump to: navigation, search Name High Winds Wind Farm Facility High Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer NextEra Energy Resources Energy Purchaser PPM Energy Inc Location Solano County CA Coordinates 38.124844°, -121.764915° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.124844,"lon":-121.764915,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

322

NREL: Wind Research - Small Wind Turbine Research  

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

Small Wind Turbine Research Small Wind Turbine Research The National Renewable Energy Laboratory and U.S. Department of Energy (NREL/DOE) Small Wind Project's objectives are to reduce barriers to wind energy expansion, stabilize the market, and expand the number of small wind turbine systems installed in the United States. "Small wind turbine" refers to a turbine smaller than or equal to 100 kilowatts (kW). "Distributed wind" includes small and midsize turbines (100 kW through 1 megawatt [MW]). Since 1996, NREL's small wind turbine research has provided turbine testing, turbine development, and prototype refinement leading to more commercially available small wind turbines. Work is conducted under the following areas. You can also learn more about state and federal policies

323

Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006  

Wind Powering America (EERE)

  Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 006 Contents Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 U.S. Wind Power Capacity Increased by 7% in 006 . . . . . . . . . . . . . . . .4 The United States Leads the World in Annual Capacity Growth . . . . . . . .4 Texas, Washington, and California Lead the U.S. in Annual Capacity Growth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 GE Wind Is the Dominant Turbine Manufacturer, with Siemens Gaining Market Share . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6 Average Turbine Size Continues to Increase . . . . . . . . . . . . . . . . . . . . . . .7 Developer Consolidation Accelerates . . . . . . . . . . . . . . . . . . . . . . . . . . . .8 Innovation and Competition in Non-Utility Wind Financing Persists . . . .9

324

Modeling the Benefits of Storage Technologies to Wind Power  

DOE Green Energy (OSTI)

Rapid expansion of wind power in the electricity sector is raising questions about how wind resource variability might affect the capacity value of wind farms at high levels of penetration. Electricity storage, with the capability to shift wind energy from periods of low demand to peak times and to smooth fluctuations in output, may have a role in bolstering the value of wind power at levels of penetration envisioned by a new Department of Energy report ('20% Wind by 2030, Increasing Wind Energy's Contribution to U.S. Electricity Supply'). This paper quantifies the value storage can add to wind. The analysis was done employing the Regional Energy Deployment System (ReEDS) model, formerly known as the Wind Deployment System (WinDS) model. ReEDS was used to estimate the cost and development path associated with 20% penetration of wind in the report. ReEDS differs from the WinDS model primarily in that the model has been modified to include the capability to build and use three storage technologies: pumped-hydroelectric storage (PHS), compressed-air energy storage (CAES), and batteries. To assess the value of these storage technologies, two pairs of scenarios were run: business-as-usual, with and without storage; 20% wind energy by 2030, with and without storage. This paper presents the results from those model runs.

Sullivan, P.; Short, W.; Blair, N.

2008-06-01T23:59:59.000Z

325

Great Plains Wind Energy Transmission Development Project  

DOE Green Energy (OSTI)

In fiscal year 2005, the Energy & Environmental Research Center (EERC) received funding from the U.S. Department of Energy (DOE) to undertake a broad array of tasks to either directly or indirectly address the barriers that faced much of the Great Plains states and their efforts to produce and transmit wind energy at the time. This program, entitled Great Plains Wind Energy Transmission Development Project, was focused on the central goal of stimulating wind energy development through expansion of new transmission capacity or development of new wind energy capacity through alternative market development. The original task structure was as follows: Task 1 - Regional Renewable Credit Tracking System (later rescoped to Small Wind Turbine Training Center); Task 2 - Multistate Transmission Collaborative; Task 3 - Wind Energy Forecasting System; and Task 4 - Analysis of the Long-Term Role of Hydrogen in the Region. As carried out, Task 1 involved the creation of the Small Wind Turbine Training Center (SWTTC). The SWTTC, located Grand Forks, North Dakota, consists of a single wind turbine, the Endurance S-250, on a 105-foot tilt-up guyed tower. The S-250 is connected to the electrical grid on the 'load side' of the electric meter, and the power produced by the wind turbine is consumed locally on the property. Establishment of the SWTTC will allow EERC personnel to provide educational opportunities to a wide range of participants, including grade school through college-level students and the general public. In addition, the facility will allow the EERC to provide technical training workshops related to the installation, operation, and maintenance of small wind turbines. In addition, under Task 1, the EERC hosted two small wind turbine workshops on May 18, 2010, and March 8, 2011, at the EERC in Grand Forks, North Dakota. Task 2 involved the EERC cosponsoring and aiding in the planning of three transmission workshops in the midwest and western regions. Under Task 3, the EERC, in collaboration with Meridian Environmental Services, developed and demonstrated the efficacy of a wind energy forecasting system for use in scheduling energy output from wind farms for a regional electrical generation and transmission utility. With the increased interest at the time of project award in the production of hydrogen as a critical future energy source, many viewed hydrogen produced from wind-generated electricity as an attractive option. In addition, many of the hydrogen production-related concepts involve utilization of energy resources without the need for additional electrical transmission. For this reason, under Task 4, the EERC provided a summary of end uses for hydrogen in the region and focused on one end product in particular (fertilizer), including several process options and related economic analyses.

Brad G. Stevens, P.E.; Troy K. Simonsen; Kerryanne M. Leroux

2012-06-09T23:59:59.000Z

326

How much electric supply capacity is needed to keep U.S ...  

U.S. Energy Information Administration (EIA)

Biofuels: Ethanol & Biodiesel ... Some of the current above-target supply is also the result of a building spurt for natural gas capacity between 1999 and 2003, ...

327

NREL: Wind Research - Information and Outreach  

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

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

328

innovati nNREL Confirms Large Potential for Grid Integration of Wind, Solar Power  

E-Print Network (OSTI)

innovati nNREL Confirms Large Potential for Grid Integration of Wind, Solar Power To fully harvest the nation's bountiful wind and solar resources, it is critical to know how much electrical power from at adding enough wind and solar power capacity to the grid to produce 35% of the WestConnect's electricity

329

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

330

Wind Power Today  

DOE Green Energy (OSTI)

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

Not Available

2007-05-01T23:59:59.000Z

331

Wind Power Today  

SciTech Connect

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

2006-05-01T23:59:59.000Z

332

Reduced Form of Detailed Modeling of Wind Transmission and Intermittency for Use in Other ModelsReduced Form of Detailed Modeling of Wind Transmission and Intermittency for Use in Other Models  

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

SUPPLY CURVE FOR ONE-REGION MODEL SUPPLY CURVE FOR ONE-REGION MODEL Figure 7 is the final supply curve to be used in a one-region model, plotted as the sum of the major drivers (described below). * Wind Capital represents the difference in cost of the wind capacity installed in the one-region model and the WinDS model. The level increases because WinDS requires a greater wind capacity for the same wind generation than the one-region model. This is because:

333

Quantum Zero-error Capacity  

E-Print Network (OSTI)

We define here a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel. The necessary requirement for which a quantum channel has zero-error capacity greater than zero is given. Finally, we point out some directions on how to calculate the zero-error capacity of such channels.

Rex A. C. Medeiros; Francisco M. De Assis

2006-11-08T23:59:59.000Z

334

Wind energy manual  

E-Print Network (OSTI)

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

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

2013-01-01T23:59:59.000Z

335

Cape Verde Archipelago Wind Farm | Open Energy Information  

Open Energy Info (EERE)

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

336

Photo of the Week: Wheat and Wind | Department of Energy  

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

Wheat and Wind Wheat and Wind Photo of the Week: Wheat and Wind December 14, 2012 - 2:33pm Addthis From 262 feet in the air, 90 General Electric towers rise over Wheatland County, Montana, generating electricity for portions of the northwest United States. With an installed capacity of 135 MW, the Judith Gap Energy Center is one of the strongest wind farms in Montana. The blades begin spinning when winds reach just eight miles per hour, and at their highest point, tower almost 400 feet above the ground. In this photo, the wind turbines rotate while overlooking Wheatland County's main agricultural product: wheat. | Photo courtesy of Idaho National Laboratory Wind Energy Program. From 262 feet in the air, 90 General Electric towers rise over Wheatland County, Montana, generating electricity for portions of the northwest

337

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

338

Diablo Winds Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Diablo Winds Wind Farm Diablo Winds Wind Farm Facility Diablo Winds Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer NextEra Energy Resources Energy Purchaser Pacific Gas & Electric Co Location Altamont Pass CA Coordinates 37.7347°, -121.652° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.7347,"lon":-121.652,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

339

Wind Power Today: Federal Wind Program Highlights  

DOE Green Energy (OSTI)

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

Not Available

2005-04-01T23:59:59.000Z

340

Commonwealth Wind Incentive Program Micro Wind Initiative  

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

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

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


341

Wind characteristics for agricultural wind energy applications  

SciTech Connect

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

Renne, D. S.

1979-01-01T23:59:59.000Z

342

Load Capacity of Bodies  

E-Print Network (OSTI)

For the stress analysis in a plastic body $\\Omega$, we prove that there exists a maximal positive number $C$, the \\emph{load capacity ratio,} such that the body will not collapse under any external traction field $t$ bounded by $Y_{0}C$, where $Y_0$ is the elastic limit. The load capacity ratio depends only on the geometry of the body and is given by $$ \\frac{1}{C}=\\sup_{w\\in LD(\\Omega)_D} \\frac{\\int_{\\partial\\Omega}|w|dA} {\\int_{\\Omega}|\\epsilon(w)|dV}=\\left\\|\\gamma_D\\right\\|. $$ Here, $LD(\\Omega)_D$ is the space of isochoric vector fields $w$ for which the corresponding stretchings $\\epsilon(w)$ are assumed to be integrable and $\\gamma_D$ is the trace mapping assigning the boundary value $\\gamma_D(w)$ to any $w\\in LD(\\Omega)_D$.

Reuven Segev

2005-11-01T23:59:59.000Z

343

NREL: Wind Research - Testing  

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

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

344

Wind/Hydro Study  

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

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

345

Wind | Department of Energy  

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

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

346

Wind Energy Technologies  

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

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

347

Wind for Schools (Poster)  

SciTech Connect

As the United States dramatically expands wind energy deployment, the industry is challenged with developing a skilled workforce and addressing public resistance. Wind Powering America's Wind for Schools project addresses these issues by developing Wind Application Centers (WACs) at universities; WAC students assist in implementing school wind turbines and participate in wind courses, by installing small wind turbines at community "host" schools, by implementing teacher training with interactive curricula at each host school. This poster provides an overview of the first two years of the Wind for Schools project, primarily supporting activities in Colorado, Kansas, Nebraska, South Dakota, Montana, and Idaho.

Baring-Gould, I.

2010-05-01T23:59:59.000Z

348

Wind for Schools (Poster)  

SciTech Connect

As the United States dramatically expands wind energy deployment, the industry is challenged with developing a skilled workforce and addressing public resistance. Wind Powering America's Wind for Schools project addresses these issues by developing Wind Application Centers (WACs) at universities; WAC students assist in implementing school wind turbines and participate in wind courses, by installing small wind turbines at community "host" schools, by implementing teacher training with interactive curricula at each host school. This poster provides an overview of the first two years of the Wind for Schools project, primarily supporting activities in Colorado, Kansas, Nebraska, South Dakota, Montana, and Idaho.

Baring-Gould, I.

2010-05-01T23:59:59.000Z

349

Wind energy bibliography  

DOE Green Energy (OSTI)

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

None

1995-05-01T23:59:59.000Z

350

Refinery Capacity Report  

U.S. Energy Information Administration (EIA) Indexed Site

1 1 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels per Atmospheric Crude Oil Distillation Capacity Idle Operating Total Operable Refineries Number of State and PAD District a b b 14 10 4 1,617,500 1,205,000 412,500 1,708,500 1,273,500 435,000 ............................................................................................................................................... PAD District I 1 0 1 182,200 0 182,200 190,200 0 190,200 ................................................................................................................................................................................................................................................................................................ Delaware......................................

351

U.S. State Wind Resource Potential | OpenEI  

Open Energy Info (EERE)

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

352

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

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

Bolinger, Mark

2010-01-01T23:59:59.000Z

353

Total Natural Gas Underground Storage Capacity  

U.S. Energy Information Administration (EIA) Indexed Site

Capacity Working Gas Capacity of Salt Caverns Working Gas Capacity of Aquifers Working Gas Capacity of Depleted Fields Total Number of Existing Fields Number of Existing Salt...

354

Small Packages, Big Benefits: Economic Advantages of Local Wind Projects  

E-Print Network (OSTI)

The sun heats the earths surface unevenly creating areas of high and low pressure. Air molecules flow away from areas of high pressure towards areas of low pressure. We know this phenomenon by sight, sound and touch as wind. The speed and duration of wind are unpredictable, but what is predictable is that in many places the wind will eventually blow with enough force to be a significant power source. This fact has been relied on and winds kinetic energy has been harnessed for centuries to do things such as pump water and grind grain. Windmills that helped Americans from settlement times until the 1930s are still visible on much of the nations rural landscape including Iowasyet they are now found in various states of disrepair. Today the relic sentinels of the countryside are being joined in their towering positions by sleek new wind turbines. These modern machines and the clean power they generate are a sign of the prosperity they can bring to their landowners and communities. Although wind power only accounted for one-tenth of 1 percent of the nations total electric power generation capacity in 2003, this is four times the capacity that was in place in 1990. From 1999 to 2003, wind power capacity had an average annual growth rate of 28 percent, a

Teresa Welsh; Teresa Welsh

2005-01-01T23:59:59.000Z

355

Wind Energy Conversion Systems (Minnesota) | Department of Energy  

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

Wind Energy Conversion Systems (Minnesota) Wind Energy Conversion Systems (Minnesota) Wind Energy Conversion Systems (Minnesota) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Savings Category Wind Buying & Making Electricity Program Info State Minnesota Program Type Siting and Permitting This section distinguishes between large (capacity 5,000 kW or more) and small (capacity of less than 5,000 kW) wind energy conversion systems (WECS), and regulates the siting of large conversion systems. The statute

356

Factors driving wind power development in the United States  

SciTech Connect

In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,500 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states that have achieved a substantial amount of wind energy investment. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

2003-05-15T23:59:59.000Z

357

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

DOE Green Energy (OSTI)

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

Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet

2011-09-15T23:59:59.000Z

358

U.S. Continues to Lead the World in Wind Power Growth | Department of  

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

29, 2008 - 12:32pm 29, 2008 - 12:32pm Addthis DOE Report Shows Rapidly Growing U.S. Wind Power Market WASHINGTON - The U.S. Department of Energy (DOE) today released the 2007 edition of its Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends, which provides a comprehensive overview of developments in the rapidly evolving U.S. wind power market. Notably, the report finds that U.S. wind power capacity increased by 46 percent in 2007, with $9 billion invested in U.S. wind plants in 2007 alone, making the U.S. the fastest-growing wind power market in the world for the third straight year. The report also showed that wind is on a path to becoming a significant contributor to the U.S. power mix-wind projects accounted for 35 percent of all new U.S. electric generating capacity in 2007, and

359

ERCOT's Dynamic Model of Wind Turbine Generators: Preprint  

DOE Green Energy (OSTI)

By the end of 2003, the total installed wind farm capacity in the Electric Reliability Council of Texas (ERCOT) system was approximately 1 gigawatt (GW) and the total in the United States was about 5 GW. As the number of wind turbines installed throughout the United States increases, there is a greater need for dynamic wind turbine generator models that can properly model entire power systems for different types of analysis. This paper describes the ERCOT dynamic models and simulations of a simple network with different types of wind turbine models currently available.

Muljadi, E.; Butterfield, C. P.; Conto, J.; Donoho, K.

2005-08-01T23:59:59.000Z

360

Capacity Building Project with Howard University | Department of Energy  

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

Capacity Building Project with Howard University Capacity Building Project with Howard University Capacity Building Project with Howard University The purpose of this initiative is to build community capacity for public participation in environmental and energy decision making. The target communities are those impacted by U.S. Department of Energy (DOE) facilities and in Washington, DC, the DOE Headquarters host community. The primary focus is on environmental justice communities-low-income and minority communities. Capacity Building Project with Howard University More Documents & Publications National Conference of Black Mayors, Inc. Capacity Building Project with Howard University The State of Environmental Justice in America 2010 Conference Environmental Justice at the U.S. Department of Energy - A Decade of

Note: This page contains sample records for the topic "wind capacity targets" 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

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

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

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

362

Engineering and Economic Evaluation of Integrated Wind-Onsite Energy Storage  

Science Conference Proceedings (OSTI)

The purpose of this Electric Power Research Institute project was to investigate the benefits of directly integrated energy storage and wind generation. The ability to store wind energy could provide higher wind farm capacity factors, improved locational marginal prices during high wind periods, and increased production tax credit benefits. The project's Phase I objective was to identify the most promising energy storage (ES) options available at this time. Technologies investigated included many batter...

2011-09-26T23:59:59.000Z

363

California Regional Wind Energy Forecasting System Development, Volume 1: Executive Summary  

Science Conference Proceedings (OSTI)

The rated capacity of wind generation in California is expected to grow rapidly in the future beyond the approximately 2100 megawatts (MW) in place at the end of 2005. The main drivers are the state's 20 Renewable Portfolio Standard requirement in 2010 and the low cost of wind energy relative to other renewable energy sources. As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forecasti...

2006-11-14T23:59:59.000Z

364

West Winds Wind Farm | Open Energy Information  

Open Energy Info (EERE)

West Winds Wind Farm West Winds Wind Farm Facility West Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Caithness Developer SeaWest Energy Purchaser Southern California Edison/PacifiCorp Location San Gorgonio CA Coordinates 33.9095°, -116.734° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.9095,"lon":-116.734,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

365

WindWaveFloat Final Report  

Science Conference Proceedings (OSTI)

Principle Power Inc. and National Renewable Energy Lab (NREL) have completed a contract to assess the technical and economic feasibility of integrating wave energy converters into the WindFloat, resulting in a new concept called the WindWaveFloat (WWF). The concentration of several devices on one platform could offer a potential for both economic and operational advantages. Wind and wave energy converters can share the electrical cable and power transfer equipment to transport the electricity to shore. Access to multiple generation devices could be simplified, resulting in cost saving at the operational level. Overall capital costs may also be reduced, provided that the design of the foundation can be adapted to multiple devices with minimum modifications. Finally, the WindWaveFloat confers the ability to increase energy production from individual floating support structures, potentially leading to a reduction in levelized energy costs, an increase in the overall capacity factor, and greater stability of the electrical power delivered to the grid. The research conducted under this grant investigated the integration of several wave energy device types into the WindFloat platform. Several of the resulting system designs demonstrated technical feasibility, but the size and design constraints of the wave energy converters (technical and economic) make the WindWaveFloat concept economically unfeasible at this time. Not enough additional generation could be produced to make the additional expense associated with wave energy conversion integration into the WindFloat worthwhile.

Alla Weinstein, Dominique Roddier, Kevin Banister

2012-03-30T23:59:59.000Z

366

Capacities associated with scalar signed Riesz kernels, and analytic capacity  

E-Print Network (OSTI)

The real and imaginari parts of the Cauchy kernel in the plane are scalar Riesz kernels of homogeneity -1. One can associate with each of them a natural notion of capacity related to bounded potentials. The main result of the paper asserts that these capacities are comparable to classical analytic capacity, thus stressing the real variables nature of analytic capacity. Higher dimensional versions of this result are also considered.

Mateu, Joan; Verdera, Joan

2010-01-01T23:59:59.000Z

367

Applications: Operational wind turbines  

E-Print Network (OSTI)

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

368

Wind powering America: Iowa  

DOE Green Energy (OSTI)

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

NREL

2000-04-11T23:59:59.000Z

369

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

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

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

370

Wind Powering America  

Wind Powering America (EERE)

These news items are notable additions These news items are notable additions to the Wind Powering America Web site. The Wind Powering America Web site reports recent national and state wind market changes by cataloging wind activities such as wind resource maps, small wind consumer's guides, local wind workshops, news articles, and publications in the areas of policy, public power, small wind, Native Americans, agricultural sector, economic development, public lands, and schools. en-us julie.jones@nrel.gov (Julie Jones) http://www.windpoweringamerica.gov/images/wpa_logo_sm.jpg Wind Powering America http://www.windpoweringamerica.gov/ Nominate an Electric Cooperative for Wind Power Leadership Award by January 15 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4076 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4076 Mon, 16

371

New England Wind Forum: New England Wind Resources  

Wind Powering America (EERE)

New England Wind Forum About the New England Wind Forum New England Wind Energy Education Project Historic Wind Development in New England State Activities Projects in New England Building Wind Energy in New England Wind Resources Wind Power Technology Economics Markets Siting Policy Technical Challenges Issues Small Wind Large Wind Newsletter Perspectives Events Quick Links to States CT MA ME NH RI VT Bookmark and Share New England Wind Resources Go to the Vermont wind resource map. Go to the New Hampshire wind resource map. Go to the Maine wind resource map. Go to the Massachusetts wind resource map. Go to the Connecticut wind resource map. Go to the Rhode Island wind resource map. New England Wind Resource Maps Wind resources maps of Connecticut, Massachusetts, Maine, New Hampshire, Rhode Island, and Vermont.

372

Wind energy, offers considerable promise: the wind itself is free,  

E-Print Network (OSTI)

Wind energy, offers considerable promise: the wind itself is free, wind power is clean. One of these sources, wind energy, offers considerable promise: the wind itself is free, wind power is clean, and it is virtually inexhaustible. In recent years, research on wind energy has accelerated

Langendoen, Koen

373

Wind Power Outlook 2004  

DOE Green Energy (OSTI)

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

anon.

2004-01-01T23:59:59.000Z

374

Wind Resource Maps (Postcard)  

DOE Green Energy (OSTI)

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

Not Available

2011-07-01T23:59:59.000Z

375

Multipath Channels of Unbounded Capacity  

E-Print Network (OSTI)

The capacity of discrete-time, noncoherent, multipath fading channels is considered. It is shown that if the variances of the path gains decay faster than exponentially, then capacity is unbounded in the transmit power.

Koch, Tobias

2008-01-01T23:59:59.000Z

376

Statewide Air Emissions Calculations from Wind and Other Renewables, Summary Report: A Report to the Texas Commission on Environmental Quality for the Period September 2007 - August 2008  

E-Print Network (OSTI)

The 79th Legislature, through Senate Bill 20, House Bill 2481 and House Bill 2129, amended Senate Bill 5 to enhance its effectiveness by adding 5,880 MW of generating capacity from renewable energy technologies by 2015 and 500 MW from non-wind renewables. This legislation also requires the Public Utilities Commission of Texas (PUCT) to establish a target of 10,000 megawatts of installed renewable capacity by 2025, and requires the Texas Commission on Environmental Quality (TCEQ) to develop methodology for computing emissions reductions from renewable energy initiatives and the associated credits. In this Legislation the Energy Systems Laboratory (ESL or Laboratory) is to assist the TCEQ in quantifying emissions reductions credits from energy efficiency and renewable energy programs, through a contract with the Texas Environmental Research Consortium (TERC) to develop and annually calculate creditable emissions reductions from wind and other renewable energy resources for the State Implementation Plan (SIP). The Energy Systems Laboratory, in fulfillment of its responsibilities under this Legislation, submits its third annual report, Statewide Air Emissions Calculations from Wind and Other Renewables, to the Texas Commission on Environmental Quality. The report is organized in several deliverables: A Summary Report, which details the key areas of work; Supporting Documentation; and Supporting data files, including weather data, and wind production data, which have been assembled as part of the third years effort. This executive summary provides summaries of the key areas of accomplishment this year, including: Continuation of stakeholders meetings; Analysis of power generation from wind farms using improved method and 2006 data; Analysis of emissions reduction from wind farms; Updates on degradation analysis; Analysis of other renewables, including: PV, solar thermal, hydroelectric, geothermal and landfill gas; Review of electricity generation by renewable sources and transmission planning study reported by ERCOT; Review of combined heat and power projects in Texas; and Preliminary reporting of NOx emissions savings in the 2007 Integrated Savings report to the TCEQ.

Gilman, D.; Yazdani, B.; Haberl, J. S.; Baltazar-Cervantes, J. C.; Subbarao, K.; Culp, C.; Liu, Z.

2008-08-01T23:59:59.000Z

377

U.S. Continues to Lead the World in Wind Power Growth | Department of  

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

31, 2007 - 1:25pm 31, 2007 - 1:25pm Addthis DOE Report Shows Growing U.S. Wind Power Market WASHINGTON, DC - The U.S. Department of Energy (DOE) today released its first Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006, which provides a detailed and comprehensive overview of development and trends in the U.S. wind power market. Most notably, the Report concludes that U.S. wind power capacity increased by 27 percent in 2006; and that the U.S. had the fastest growing wind power capacity in the world in 2005 and 2006. More than 61 percent of the U.S.'s total wind capacity - over 7,300 Megawatts (MW) - has been installed since President Bush took office in 2001. "As we work to implement President Bush's Advanced Energy Initiative by increasing the use of home-grown, clean, affordable and renewable energy,

378

Wind power and electric utilities: a review of the problems and prospects. [USA  

DOE Green Energy (OSTI)

The use of windpower poses a variety of problems for utilities primarily due to the uncontrollability of the power source and the high degree of variability of the wind. Differences in the dynamic behavior of the wind and of utility load patterns and the problems that arise from these differences are described. Utility capacity expansion methods and modifications to them to incorporate the characteristics of wind machines into the analytic procedure are outlined and results from initial studies employing these modifications are reviewed. These results indicate that, in general, storage devices are too expensive to be purchased by utilities if they serve mainly to balance the output of the wind machines; wind machines tend to supplant purchases of conventional baseload capacity but require additional peaking units; and the economic value of wind machines to utilities is composed of savings in both fuel and capacity related expenditures for conventional equipment.

Davitian, H

1978-04-01T23:59:59.000Z

379

Heat capacities of elastic solids  

E-Print Network (OSTI)

The work function is embedded in the equation describing the relationship between the constant volume and constant pressure heat capacities. The modification of the work function results that the relationship between these quantities must be changed accordingly. Using the newly derived work functions of elastic solids the description of the heat capacities and the relationship between the heat capacities are given for solid phase.

Garai, J

2005-01-01T23:59:59.000Z

380

Symmetrical Symplectic Capacity with Applications  

E-Print Network (OSTI)

In this paper, we first introduce the concept of symmetrical symplectic capacity for symmetrical symplectic manifolds, and by using this symmetrical symplectic capacity theory we prove that there exists at least one symmetric closed characteristic (brake orbit and $S$-invariant brake orbit are two examples) on prescribed symmetric energy surface which has a compact neighborhood with finite symmetrical symplectic capacity.

Liu, Chungen

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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

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

382

Hurricane Katrina Wind Investigation Report  

SciTech Connect

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

Desjarlais, A. O.

2007-08-15T23:59:59.000Z

383

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

Open Energy Info (EERE)

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

384

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

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

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

385

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

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

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

386

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

387

NREL: Wind Research - Small Wind Turbine Independent Testing  

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

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

388

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

389

Wind forecasting objectives for utility schedulers and energy traders  

DOE Green Energy (OSTI)

The wind energy industry and electricity producers can benefit in a number of ways from increased wind forecast accuracy. Higher confidence in the reliability of wind forecasts can help persuade an electric utility to increase the penetration of wind energy into its operating system and to augment the capacity value of wind electric generation. Reliable forecasts can also assist daily energy traders employed by utilities in marketing the available and anticipated wind energy to power pools and other energy users. As the number of utilities with wind energy experience grows, and wind energy penetration levels increase, the need for reliable wind forecasts will likely grow as well. This period of wind energy growth also coincides with advances in computer weather prediction technology that could lead to more accurate wind forecasts. Thus, it is important to identify the type of forecast information needed by utility schedulers and energy traders. This step will help develop approaches to the challenge of wind forecasting that will result in useful products being supplied to utilities or other energy generating entities. This paper presents the objectives, approach, and current findings of a US Department of Energy National Renewable Energy Laboratory (DOE/NREL) initiative to develop useful wind forecasting tools for utilities involved with wind energy generation. The focus of this initiative thus far has been to learn about the needs of prospective utility users. NREL representatives conducted a series of onsite interviews with key utility staff, usually schedulers and research planners, at seven US utilities. The purpose was to ascertain information on actual scheduling and trading procedures, and how utilities could integrate wind forecasting into these activities.

Schwartz, M.N. [National Renewable Energy Lab., Golden, CO (United States); Bailey, B.H. [AWS Scientific, Inc., Albany, NY (United States)

1998-05-01T23:59:59.000Z

390

Final report: Task 4a.2 20% wind scenario assessment of electric grid operational features  

SciTech Connect

Wind integration modeling in electricity generation capacity expansion models is important in that these models are often used to inform political or managerial decisions. Poor representation of wind technology leads to under-estimation of wind's contribution to future energy scenarios which may hamper growth of the industry. The NREL's Wind Energy Deployment System (WinDS) model provides the most detailed representation of geographically disperse renewable resources and the optimization of transmission expansion to access these resources. Because WinDS was selected as the primary modeling tool for the 20% Wind Energy by 2030 study, it is the ideal tool for supplemental studies of the transmission expansion results. However, as the wind industry grows and knowledge related to the wind resource and integration of wind energy into the electric system develops, the WinDS model must be continually improved through additional data and innovative algorithms to capture the primary effects of variable wind generation. The detailed representation of wind technology in the WinDS model can be used to provide improvements to the simplified representation of wind technology in other capacity expansion models. This task did not employ the WinDS model, but builds from it and its results. Task 4a.2 provides an assessment of the electric grid operational features of the 20% Wind scenario and was conducted using power flow models accepted by the utility industry. Tasks 2 provides information regarding the physical flow of electricity on the electric grid which is a critical aspect of infrastructure expansion scenarios. Expanding transmission infrastructure to access remote wind resource in a physically realizable way is essential to achieving 20% wind energy by 2030.

Toole, Gasper L. [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

391

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

392

Wind Industry Soars to New Heights | Department of Energy  

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

Industry Soars to New Heights Industry Soars to New Heights Wind Industry Soars to New Heights August 5, 2013 - 8:13am Addthis Watch the video to learn more about the new records reached by the U.S. industry as found in the 2012 Wind Technologies Market Report. | Video by Matty Greene, Energy Department. Matty Greene Matty Greene Videographer Wind capacity additions in the United States reached record levels in 2012, as detailed in the 2012 Wind Technologies Market Report. In a video narrated by Jose Zayas, Director of the Energy Department's Wind and Water Power Technologies Office, he highlights the wind energy accomplishments in 2012. This includes adding 13 gigawatts in new installations -- enough to surpass any other country -- as well as employing 80,000 American workers. After watching the video, make sure to checkout the report in its entirety

393

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

394

NREL: Wind Research - WindPACT  

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

WindPACT WindPACT The Wind Partnerships for Advanced Component Technology (WindPACT) studies were conducted to assist industry by testing innovative components, such as advanced blades and drivetrains, to lower the cost of energy. Specific goals included: Foster technological advancements to reduce the cost of wind energy Determine probable size ranges of advanced utility-scale turbines over the next decade for U.S. application Evaluate advanced concepts that are necessary to achieve objectives of cost and size for future turbines Identify and solve technological hurdles that may block industry from taking advantage of promising technology Design, fabricate, and test selected advanced components to prove their viability Support wind industry through transfer of technology from

395

Research on Low-Voltage Ride-Through Technology of Doubly-Fed VSCF Wind Power Generation System  

Science Conference Proceedings (OSTI)

Currently, some of the variable speed wind turbine on market have some low-voltage through capacity?LVRT?, but do not have dynamic reactive power support capacity under fault. DFIG cant provide dynamic voltage support, in addition, ... Keywords: wind power, voltage dip, low voltage ride-through (LVRT), transient voltage control, rotor-side converter

Bao Wei; Yin Zhongdong

2009-10-01T23:59:59.000Z

396

An Assessment of Railway Capacity  

E-Print Network (OSTI)

In this paper, we review the main concepts and methods to perform capacity analyses, and we present an automated tool that is able to perform several capacity analyses. Capacity is extremely dependent on infrastructure, traffic, and operating parameters. Therefore, an in-depth study of the main factors that influence railway capacity is performed on several Spanish railway infrastructures. The results show how the capacity varies according to factors such as train speed, commercial stops, train heterogeneity, distance between railway signals, and timetable robustness.

M. Abril; F. Barber; A L. Ingolotti; A M. A. Salido; P. Tormos; B A. Lova

2007-01-01T23:59:59.000Z

397

New England Wind Forum: A Wind Powering America Project, Volume 1, Issue 3 -- October 2007 (Newsletter)  

Wind Powering America (EERE)

3 - October 2007 3 - October 2007 Regional Greenhouse Gas Initiative Moves Forward - What Does It Mean for Wind Power? In early 2007, Massachusetts and Rhode Island announced their intent to join the Regional Greenhouse Gas Initiative (RGGI), a cooperative effort to reduce carbon dioxide (CO 2 ) emissions, the major contributor to global climate change. The impending implementation of RGGI has raised ques- tions regarding the treatment of wind power (and other zero-emission renewable energy generation sources) within RGGI, and how RGGI may impact representations of wind power and its benefits. Some have argued that emissions will be reduced to RGGI targets with or without the help of wind. Analysis reveals, however, that wind power is essential to meeting and surpassing the emission reductions required to

398

Wind | Department of Energy  

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

Wind Wind Wind America is home to one of the largest and fastest growing wind markets in the world. Watch the video to learn more about the latest trends in the U.S. wind power market and join us this Thursday, August 8 at 3 pm ET for a Google+ Hangout on wind energy in America. The United States is home to one of the largest and fastest growing wind markets in the world. To stay competitive in this sector, the Energy Department invests in wind projects, both on land and offshore, to advance technology innovations, create job opportunities and boost economic growth. Moving forward, the U.S. wind industry remains a critical part of the Energy Department's all-of-the-above energy strategy to cut carbon pollution, diversify our energy economy and bring the next-generation of

399

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

400

Entangling capacity with local ancilla  

E-Print Network (OSTI)

We investigate the entangling capacity of a dynamical operation with access to local ancilla. A comparison is made between the entangling capacity with and without the assistance of prior entanglement. An analytic solution is found for the log-negativity entangling capacity of two-qubit gates, which equals the entanglement of the Choi matrix isomorphic to the unitary operator. Surprisingly, the availability of prior entanglement does not affect this result; a property we call resource independence of the entangling capacity. We prove several useful upper-bounds on the entangling capacity that hold for general qudit dynamical operations, and for a whole family of entanglement measures including log-negativity and log-robustness. The log-robustness entangling capacity is shown to be resource independent for general dynamics. We provide numerical results supporting a conjecture that the log-negativity entangling capacity is resource independence for all two-qudit unitaries.

Campbell, Earl T

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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

2009 Wind Technologies Market Report  

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

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

402

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Bolinger, Mark

2013-01-01T23:59:59.000Z

403

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Wiser, Ryan

2010-01-01T23:59:59.000Z

404

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

Prepared for the Utility Wind Integration Group. Arlington,Consult. 2010. International Wind Energy Development: WorldUBS Global I/O: Global Wind Sector. UBS Investment Research.

Wiser, Ryan

2010-01-01T23:59:59.000Z

405

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

2008. Washington, DC: American Wind Energy Association.American Wind Energy Association ( AWEA).2009b. AWEA Small Wind Turbine Global Market Study: Year

Bolinger, Mark

2010-01-01T23:59:59.000Z

406

WIND DATA REPORT Presque Isle  

E-Print Network (OSTI)

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

Massachusetts at Amherst, University of

407

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

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

Massachusetts at Amherst, University of

408

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

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

Massachusetts at Amherst, University of

409

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

WIND DATA REPORT Thompson Island June 1, 2004 ­ August 31, 2004 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

Massachusetts at Amherst, University of

410

WIND DATA REPORT FALMOUTH, MA  

E-Print Network (OSTI)

WIND DATA REPORT FALMOUTH, MA June1, 2004 to August 31, 2004. Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 8 Wind Speed Distributions

Massachusetts at Amherst, University of

411

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

WIND DATA REPORT Thompson Island September 1, 2003 ­ November 30, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

Massachusetts at Amherst, University of

412

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

WIND DATA REPORT Thompson Island March 1, 2004 ­ May 31, 2004 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

Massachusetts at Amherst, University of

413

WIND DATA REPORT Presque Isle  

E-Print Network (OSTI)

WIND DATA REPORT Presque Isle December 1, 2004 ­ February 28, 2005 Prepared for United States.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

414

WIND DATA REPORT Presque Isle  

E-Print Network (OSTI)

WIND DATA REPORT Presque Isle March 1, 2005 ­ May 31, 2005 Prepared for United States Department.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

Massachusetts at Amherst, University of

415

WIND DATA REPORT Presque Isle  

E-Print Network (OSTI)

WIND DATA REPORT Presque Isle June 1, 2005 ­ August 31, 2005 Prepared for United States Department...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

416

WIND DATA REPORT Thompson Island  

E-Print Network (OSTI)

WIND DATA REPORT Thompson Island March 1, 2003 ­ May 31, 2003 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

Massachusetts at Amherst, University of

417

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

turbine prices. Installed project costs are found to exhibitpressure on total project costs and wind power prices. Windinstalled wind power project costs, wind turbine transaction

Wiser, Ryan

2012-01-01T23:59:59.000Z

418

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

downward pressure on project costs and wind power prices.installed wind power project costs, wind turbine transactionand uncertain offshore project costs, and public acceptance

Wiser, Ryan

2010-01-01T23:59:59.000Z

419

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

natural gas prices), pushed wind energy to the top of (andperformance, and price of wind energy, policy uncertainty cost, performance, and price of wind energy, some of these

Bolinger, Mark

2013-01-01T23:59:59.000Z

420

RI_50m_Wind  

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

UnitedStatesWindHighResolutionRhodeIslandWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of Rhode...

Note: This page contains sample records for the topic "wind capacity targets" 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

CT_50m_Wind  

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

UnitedStatesWindHighResolutionConnecticutWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of...

422

MA_50m_Wind  

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

UnitedStatesWindHighResolutionMassachusettsWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of...

423

VT_50m_Wind  

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

DataTechnologySpecificUnitedStatesWindHighResolutionVermontWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of Vermont...

424

NH_50m_Wind  

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

UnitedStatesWindHighResolutionNewHampshireWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of New...

425

IA_50m_Wind  

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

ISDataTechnologySpecificUnitedStatesWindHighResolutionIowaWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of Iowa at...

426

ME_50m_Wind  

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

SDataTechnologySpecificUnitedStatesWindHighResolutionMaineWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of Maine...

427

ga_50m_wind  

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

DataTechnologySpecificUnitedStatesWindHighResolutionGeorgiaWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for the state of Georgia...

428

ny_50m_wind  

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

ataTechnologySpecificUnitedStatesWindHighResolutionNewYorkWindHighResolution.zip> Description: Abstract: Annual average wind resource potential for New York at a 50...

429

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Wiser, Ryan

2012-01-01T23:59:59.000Z

430

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Wiser, Ryan

2010-01-01T23:59:59.000Z

431

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

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

Bolinger, Mark

2013-01-01T23:59:59.000Z

432

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

federal and state incentives for wind energy deployment. Thefederal and state incentives for wind energy deployment.federal and state incentives for wind energy deployment in

Wiser, Ryan

2012-01-01T23:59:59.000Z

433

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

continued state and federal incentives for wind energy,continued state and federal incentives for wind energy,continued state and federal incentives for wind energy,

Bolinger, Mark

2013-01-01T23:59:59.000Z

434

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

435

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

436

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

2008. Washington, DC: American Wind Energy Association.American Wind Energy Association ( AWEA). 2009b. AWEA SmallWashington, DC: American Wind Energy Association. Bolinger,

Bolinger, Mark

2010-01-01T23:59:59.000Z

437

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

2010. International Wind Energy Development: World MarketUniversity. American Wind Energy Association (AWEA). 2010a.Washington, DC: American Wind Energy Association. American

Wiser, Ryan

2010-01-01T23:59:59.000Z

438

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

2010. Status of Centralized Wind Power Forecasting in NorthInterconnection Policies and Wind Power: A Discussion ofs first utility-scale wind power project. Credit: Klaus

Wiser, Ryan

2010-01-01T23:59:59.000Z

439

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

The Effects of Integrating Wind Power on Transmission SystemInterconnection Policies and Wind Power: A Discussion ofof their database of wind power projects, and for providing

Bolinger, Mark

2010-01-01T23:59:59.000Z

440

DOE Science Showcase - Wind Power  

Office of Scientific and Technical Information (OSTI)

Power Testing and Data in General Wind and Turbine Dynamics Wind Stresses Control, the Power Grid, and the Grids Economics Environmental Effects Energy101: Wind Turbines...

Note: This page contains sample records for the topic "wind capacity targets" 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

Perceived Socioeconomic Impacts of Wind Energy in West Texas  

E-Print Network (OSTI)

Wind power is a fast growing alternative energy source. Since 2000, wind energy capacity has increased 24 percent per year with Texas leading the U.S. in installed wind turbine capacity. Most socioeconomic research in wind energy has focused on understanding local opposition, especially aesthetic impacts on the surrounding landscape. Recent studies have addressed reasons for social acceptance of wind farms, suggesting that positions both favorable and unfavorable to wind power are subtle and intricate, rather than monolithic, and rooted in place-specific issues. In the case of Texas, scholars have reported that the minimal permitting process is the dominant variable that explains the rapid rise of wind power in the state?s western region. However, scholars have yet to study the place-based local or regional factors that structure and inform acceptance of wind energy by key actors who negotiate with wind-energy firms. This thesis presents empirically determined, statistically significant social perspectives regarding socioeconomic wind energy impacts. I determined social perspectives by using Q-Method in Nolan County, Texas, a major site of wind-power development. Q-Method allows researchers to generalize about social perspectives, but not about how widely or deeply populations ascribe to social perspectives. Q-Method combines qualitative and quantitative techniques beginning with semi-structured interviews to collect statements on wind power, followed by participant ranking of statements on a ?most disagree? to ?most agree? scale. Key actors surveyed included landowners with wind turbines, elected and civilservice government officials, and prominent local business and community leaders. My findings identified five significant clusters of opinion, two of which shared strong support for wind energy on the basis of perceived positive economic impacts. Three clusters of opinion were less favorable to wind energy; these arguments were based upon opposition to tax abatements, support of tax abatements, and concerns over negative impacts to the community. Consensus emerged over the idea that positive views toward wind-energy development were unrelated to broader commitments to renewable energy. The support of key actors in favor of wind energy is contingent upon direct financial benefits from wind-energy royalties, political views on taxes, notions of landscape aesthetics, and sense of community.

Persons, Nicole D.

2010-05-01T23:59:59.000Z

442

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

SciTech Connect

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

Hoover, S.

2002-06-01T23:59:59.000Z

443

Wind-To-Hydrogen Energy Pilot Project  

DOE Green Energy (OSTI)

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

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

2009-04-24T23:59:59.000Z

444

NREL: Wind Research - Projects  

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

Projects Projects NREL's wind energy research and development projects focus on reducing the cost of wind technology and expanding access to wind energy sites. Our specialized technical expertise, comprehensive design and analysis tools, and unique testing facilities help industry overcome challenges to bringing new wind technology to the marketplace. Some of these success stories are described in NREL's Wind R&D Success Stories. We also work closely with universities and other national laboratories supporting fundamental research in wind technologies, including aerodynamics, aeroacoustics, and material sciences essential in the development of new blade technologies and advanced controls, power electronics, and testing to further refine drivetrain topology.

445

Wind Power Career Chat  

DOE Green Energy (OSTI)

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

Not Available

2011-01-01T23:59:59.000Z

446

Wind power today  

DOE Green Energy (OSTI)

This publication highlights initiatives of the US DOE`s Wind Energy Program. 1997 yearly activities are also very briefly summarized. The first article describes a 6-megawatt wind power plant installed in Vermont. Another article summarizes technical advances in wind turbine technology, and describes next-generation utility and small wind turbines in the planning stages. A village power project in Alaska using three 50-kilowatt turbines is described. Very brief summaries of the Federal Wind Energy Program and the National Wind Technology Center are also included in the publication.

NONE

1998-04-01T23:59:59.000Z

447

Wind energy information guide  

DOE Green Energy (OSTI)

This book is divided into nine chapters. Chapters 1--8 provide background and annotated references on wind energy research, development, and commercialization. Chapter 9 lists additional sources of printed information and relevant organizations. Four indices provide alphabetical access to authors, organizations, computer models and design tools, and subjects. A list of abbreviations and acronyms is also included. Chapter topics include: introduction; economics of using wind energy; wind energy resources; wind turbine design, development, and testing; applications; environmental issues of wind power; institutional issues; and wind energy systems development.

NONE

1996-04-01T23:59:59.000Z

448

Very short-term wind speed forecasting with Bayesian structural break model , Zhe Song a,*, Andrew Kusiak b  

E-Print Network (OSTI)

reserved. 1. Introduction Wind is one of the most promising green energy sources. The world's installed-1527, Iowa City, United States a r t i c l e i n f o Article history: Received 27 November 2011 Accepted 31 wind power capacity is exponentially increasing in recent years and wind industry is expanding

Kusiak, Andrew

449

Western Wind and Solar Integration Study  

SciTech Connect

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

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

2011-01-01T23:59:59.000Z

450

Enron Wind Corporation | Open Energy Information  

Open Energy Info (EERE)

Enron Wind Corporation Enron Wind Corporation Jump to: navigation, search Name Enron Wind Corporation Place Houston, Texas Zip 77251-1188 Sector Wind energy Product Former Enron Wind, which still owns, operates and manages 125 MW of wind capacity in California, Crete and India. All its other assets were bought by GE through GE Power Systems in October 2002. Coordinates 29.76045°, -95.369784° 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":29.76045,"lon":-95.369784,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

451

NREL: Education Programs - KidWind Project and Wind Education...  

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

KidWind Project and Wind Education in the Classroom: Wind Powering America Lessons Learned July 1, 2013 Integrating wind energy curricula into the classroom can seem like a...

452

NREL: Wind Research - Landing a Job in the Wind Industry: Wind...  

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

Landing a Job in the Wind Industry: Wind Powering America Lessons Learned January 28, 2013 Wind Powering America interviewed Marilla Lamb, a 2012 graduate of Northern Arizona...

453

2008 Wind Energy Projects, Wind Powering America (Poster)  

SciTech Connect

The Wind Powering America program produces a poster at the end of every calendar year that depicts new U.S. wind energy projects. The 2008 poster includes the following projects: Stetson Wind Farm in Maine; Dutch Hill Wind Farm in New York; Grand Ridge Wind Energy Center in Illinois; Hooper Bay, Alaska; Forestburg, South Dakota; Elbow Creek Wind Project in Texas; Glacier Wind Farm in Montana; Wray, Colorado; Smoky Hills Wind Farm in Kansas; Forbes Park Wind Project in Massachusetts; Spanish Fork, Utah; Goodland Wind Farm in Indiana; and the Tatanka Wind Energy Project on the border of North Dakota and South Dakota.

2009-01-01T23:59:59.000Z

454

Wind Powering America: Wind Energy Videos  

DOE Data Explorer (OSTI)

Wind Powering America is a nationwide initiative designed to increase the use of wind energy across the United States by working with regional stakeholders. A list of videos developed by and for the program includes interviews, short news clips, and documentary-like programs.

455

NREL: Wind Research - National Wind Technology Center  

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

Center Center The National Renewable Energy Laboratory's (NREL's) National Wind Technology Center (NWTC), located at the base of the foothills just south of Boulder, Colorado, is the nation's premier wind energy technology research facility. Built in 1993, the center provides an ideal environment for the development of advanced wind energy technologies. The goal of the research conducted at the center is to help industry reduce the cost of energy so that wind can compete with traditional energy sources, providing a clean, renewable alternative for our nation's energy needs. Research at the NWTC is organized under two main categories, Wind Technology Development and Testing and Operations. Illustration of the National Wind Technology Center's organization chart. Fort Felker is listed as the Center Director, with Mike Robinson, Deputy Center Director; Paul Veers, Chief Engineer, and Laura Davis and Dorothy Haldeman beneath him. The Associate Director position is empty. Beneath them is the Wind Technology Research and Development Group Manager, Mike Robinson; the Testing and Operations Group Manager, Dave Simms; and the Offshore Wind and Ocean Power Systems Acting Supervisor, Fort Felker.

456

Xcel Energy Wind and Biomass Generation Mandate | Department of Energy  

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

You are here You are here Home » Xcel Energy Wind and Biomass Generation Mandate Xcel Energy Wind and Biomass Generation Mandate < Back Eligibility Investor-Owned Utility Savings Category Bioenergy Wind Buying & Making Electricity Program Info State Minnesota Program Type Renewables Portfolio Standard Provider Minnesota Department of Commerce Minnesota law (Minn. Stat. § 216B.2423) requires Xcel Energy to build or contract for 225 megawatts (MW) of installed wind-energy capacity in the state by December 31, 1998, and to build or contract for an additional 200 MW of installed capacity by December 31, 2002. The same statute also directed the Minnesota Public Utilities Commission (PUC) to require Xcel Energy to construct and operate, purchase or contract to purchase an

457

A novel hybrid (wind-photovoltaic) system sizing procedure  

SciTech Connect

Wind-photovoltaic hybrid system (WPHS) utilization is becoming popular due to increasing energy costs and decreasing prices of turbines and photovoltaic (PV) panels. However, prior to construction of a renewable generation station, it is necessary to determine the optimum number of PV panels and wind turbines for minimal cost during continuity of generated energy to meet the desired consumption. In fact, the traditional sizing procedures find optimum number of the PV modules and wind turbines subject to minimum cost. However, the optimum battery capacity is either not taken into account, or it is found by a full search between all probable solution spaces which requires extensive computation. In this study, a novel description of the production/consumption phenomenon is proposed, and a new sizing procedure is developed. Using this procedure, optimum battery capacity, together with optimum number of PV modules and wind turbines subject to minimum cost can be obtained with good accuracy. (author)

Hocaoglu, Fatih O. [Afyon Kocatepe University, Dept. of Electronics and Communication Eng., 03200 Afyonkarahisar (Turkey); Gerek, Oemer N.; Kurban, Mehmet [Anadolu University, Dept. of Electrical and Electronics Eng., 26555 Eskisehir (Turkey)

2009-11-15T23:59:59.000Z

458

Severe Convective Wind Environments  

Science Conference Proceedings (OSTI)

Nontornadic thunderstorm winds from long-lived, widespread convective windstorms can have a tremendous impact on human lives and property. To examine environments that support damaging wind producing convection, sounding parameters from Rapid ...

Evan L. Kuchera; Matthew D. Parker

2006-08-01T23:59:59.000Z

459

Wind Rose Bias Correction  

Science Conference Proceedings (OSTI)

Wind rose summaries, which provide a basis for understanding and evaluating the climatological behavior of local wind, have a directional bias if a conventional method is used in their generation. Three techniques used to remove this bias are ...

Scott Applequist

2012-07-01T23:59:59.000Z

460

NREL: Wind Research - Awards  

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

Awards NREL has received many awards for its technical innovations in wind energy. In addition, the research conducted at the National Wind Technology Center (NWTC) at NREL has led...

Note: This page contains sample records for the topic "wind capacity targets" 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

Surface Wind Direction Variability  

Science Conference Proceedings (OSTI)

Common large shifts of wind direction in the weak-wind nocturnal boundary layer are poorly understood and are not adequately captured by numerical models and statistical parameterizations. The current study examines 15 datasets representing a ...

Larry Mahrt

2011-01-01T23:59:59.000Z

462

Greensburg Wind Farm  

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

renewable energy and energy efficiency. * Kansas offers the third highest potential for wind energy in the U.S. * Thorough research conducted by NREL proved the viability of wind...

463

Wind Turbine Maintenance Guide  

Science Conference Proceedings (OSTI)

This guideline provides component-level information regarding the maintenance of major components associated with a wind turbine. It combines recommendations offered by major equipment manufacturers with lessons learned from owner/operators of wind turbine facilities.

2012-06-29T23:59:59.000Z

464

Energy Basics: Wind Turbines  

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

Photo of a crane lifting the blades onto a wind turbine that reads 'U.S. Department of Energy, NREL.' You can learn more about horizontal axis turbines from the EERE Wind Program's...

465

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

466

Wind Energy Resources  

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

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

467

Wind Energy Benefits  

DOE Green Energy (OSTI)

Wind energy provides many benefits, including economic and environmental. This two-sided fact sheet succinctly outlines the top ten wind energy benefits and is especially well suited for general audiences.

Not Available

2005-04-01T23:59:59.000Z

468

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

469

2008 WIND TECHNOLOGIES MARKET REPORT  

E-Print Network (OSTI)

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

Bolinger, Mark

2010-01-01T23:59:59.000Z

470

Wind Blog | Department of Energy  

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

Wind Blog Wind Blog RSS September 26, 2013 Wind Farm Brings Clean, Affordable Energy to Alaskan Cooperative How can we make it easier for more communities to use wind power?...

471

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

growth in U.S. wind turbine manufacturing capability and the drop in wind power plantgrowth in U.S. wind turbine manufacturing capability and the drop in wind power plant

Wiser, Ryan

2012-01-01T23:59:59.000Z

472

Energy Basics: Wind Power Animation  

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

EERE: Energy Basics Wind Power Animation This animation discusses the advantages of wind power, the workings of a wind turbine, and wind resources in the United States. It also...

473

Wind Turbine Productivity Improvement Guidelines Development Status and Plan  

Science Conference Proceedings (OSTI)

At the end of 1999, the installed nameplate wind generation totaled about 2.5 GW in the U.S. and 14.5 GW worldwide. Even with the new modern turbine technology, many wind plants do not achieve the original projected annual wind energy generation target on which the project feasibility analysis was based. The reasons for lower than projected energy generation vary, but there are many common themes, including inaccurate wind resource assessments, higher than expected energy losses, and higher than expected...

2000-12-19T23:59:59.000Z

474

America's Booming Wind Industry  

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

Sharing key findings from two new Energy Department reports that highlight the record growth of America's wind industry.

475

Carroll County- Wind Ordinance  

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

This ordinance sets forth regulations for the zoning, erection, and operation of small wind energy systems in Carroll County, Maryland.

476

Kent County- Wind Ordinance  

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

This ordinance establishes provisions and standards for small wind energy systems in various zoning districts in Kent County, Maryland.

477

Wind powering America: Vermont  

DOE Green Energy (OSTI)

Wind resources in the state of Vermont show great potential for wind energy development according to the wind resource assessment conducted by the state, its utilities, and NREL. This fact sheet provides a brief description of the resource assessment and a link to the resulting wind resource map produced by NREL. The fact sheet also provides a description of the state's net metering program, its financial incentives, and green power programs as well as a list of contacts for more information.

NREL

2000-04-11T23:59:59.000Z

478

Wind powering America: Colorado  

DOE Green Energy (OSTI)

This fact sheet contains information about green power programs in Colorado and a description of the Ponnequin Wind Farm.

O'Dell, K.

2000-04-03T23:59:59.000Z

479

Wind powering America: Kansas  

DOE Green Energy (OSTI)

Wind resources in the state of Kansas show great potential for wind energy development according to the wind resource assessment conducted by the Kansas Electric Utilities Research Program, UWIG, and DOE. This fact sheet provides a brief description of the resource assessment and description of the state's new educational wind kiosk as well as its green power program and financial incentives available for the development of renewable energy technologies. A list of contacts for more information is also included.

NREL

2000-04-11T23:59:59.000Z

480

Decentralized capacity management and internal pricing  

E-Print Network (OSTI)

Press. Goex, R. (2002). Capacity planning and pricing undermanufacturing on innovation, capacity and pro?tability.Mieghem, V. J. (2003). Capacity management, investment and

Dutta, Sunil; Reichelstein, Stefan

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind capacity targets" 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.


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