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Note: This page contains sample records for the topic "wind power forecasting" 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
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1

Wind Power Forecasting  

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

Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email List Self Supplied Balancing Reserves Dynamic...

2

Wind Power Forecasting  

Science Journals Connector (OSTI)

The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble...

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

3

New Concepts in Wind Power Forecasting Models  

E-Print Network (OSTI)

New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, João Gama, Guenter to the training of mappers such as neural networks to perform wind power prediction as a function of wind for more accurate short term wind power forecasting models has led to solid and impressive development

Kemner, Ken

4

Wind Speed Forecasting for Power System Operation  

E-Print Network (OSTI)

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

Zhu, Xinxin

2013-07-22T23:59:59.000Z

5

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network (OSTI)

PSO (FU 2101) Ensemble-forecasts for wind power Analysis of the Results of an On-line Wind Power Ensemble- forecasts for wind power (FU2101) a demo-application producing quantile forecasts of wind power correct) quantile forecasts of the wind power production are generated by the application. However

6

ANL Software Improves Wind Power Forecasting | Department of...  

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

principal investigator for the project. For wind power point forecasting, ARGUS PRIMA trains a neural network using data from weather forecasts, observations, and actual wind...

7

Forecasting Uncertainty Related to Ramps of Wind Power Production  

E-Print Network (OSTI)

Forecasting Uncertainty Related to Ramps of Wind Power Production Arthur Bossavy, Robin Girard - The continuous improvement of the accuracy of wind power forecasts is motivated by the increasing wind power study. Key words : wind power forecast, ramps, phase er- rors, forecasts ensemble. 1 Introduction Most

Boyer, Edmond

8

Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)  

SciTech Connect

This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

Hodge, B. M.; Ela, E.; Milligan, M.

2011-10-01T23:59:59.000Z

9

Optimal combined wind power forecasts using exogeneous variables  

E-Print Network (OSTI)

Optimal combined wind power forecasts using exogeneous variables Fannar ¨Orn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January

10

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network (OSTI)

PSO (FU 2101) Ensemble-forecasts for wind power Wind Power Ensemble Forecasting Using Wind Speed the problems of (i) transforming the meteorological ensembles to wind power ensembles and, (ii) correcting) data. However, quite often the actual wind power production is outside the range of ensemble forecast

11

Managing Wind Power Forecast Uncertainty in Electric Grids.  

E-Print Network (OSTI)

??Electricity generated from wind power is both variable and uncertain. Wind forecasts provide valuable information for wind farm management, but they are not perfect. Chapter (more)

Mauch, Brandon Keith

2012-01-01T23:59:59.000Z

12

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

ANL Wind Power Forecasting and Electricity Markets ANL Wind Power Forecasting and Electricity Markets Jump to: navigation, search Logo: Wind Power Forecasting and Electricity Markets Name Wind Power Forecasting and Electricity Markets Agency/Company /Organization Argonne National Laboratory Partner Institute for Systems and Computer Engineering of Porto (INESC Porto) in Portugal, Midwest Independent System Operator and Horizon Wind Energy LLC, funded by U.S. Department of Energy Sector Energy Focus Area Wind Topics Pathways analysis, Technology characterizations Resource Type Software/modeling tools Website http://www.dis.anl.gov/project References Argonne National Laboratory: Wind Power Forecasting and Electricity Markets[1] Abstract To improve wind power forecasting and its use in power system and electricity market operations Argonne National Laboratory has assembled a team of experts in wind power forecasting, electricity market modeling, wind farm development, and power system operations.

13

Accuracy of near real time updates in wind power forecasting  

E-Print Network (OSTI)

· advantage: no NWP data necessary ­ very actual shortest term forecasts possible · wind power inputAccuracy of near real time updates in wind power forecasting with regard to different weather October 2007 #12;EMS/ECAM 2007 ­ Nadja Saleck Outline · Study site · Wind power forecasting - method

Heinemann, Detlev

14

A Multiscale Wind and Power Forecast System for Wind Farms  

Science Journals Connector (OSTI)

Abstract A large scale introduction of wind energy in power sector causes a number of challenges for electricity market and wind farm operators who will have to deal with the variability and uncertainty in the wind power generation in their scheduling and trading decisions. Numerical wind power forecasting has been identified as an important tool to address the increasing variability and uncertainty and to more efficiently operate power systems with large wind power penetration. It has been observed that even when the wind magnitude and direction recorded at a wind mast are the same, the corresponding energy productions can vary significantly. In this work we try to introduce improvements by developing a more accurate wind forecast system for a complex terrain. The system has been operational for eight months for the Bessaker Wind Farm located in the middle part of Norway in a very complex terrain. Operational power curves have also been derived from data analysis. Although the methodology explained has been developed for an onshore wind farm, it can very well be utilized in an offshore context also.

Adil Rasheed; Jakob Kristoffer Sld; Trond Kvamsdal

2014-01-01T23:59:59.000Z

15

EWEC 2006, Athens, The Anemos Wind Power Forecasting Platform Technology The Anemos Wind Power Forecasting Platform Technology -  

E-Print Network (OSTI)

EWEC 2006, Athens, The Anemos Wind Power Forecasting Platform Technology 1 The Anemos Wind Power a professional, flexible platform for operating wind power prediction models, laying the main focus on state models from all over Europe are able to work on this platform. Keywords: wind energy, wind power

Boyer, Edmond

16

Wind power forecast error smoothing within a wind farm  

Science Journals Connector (OSTI)

Smoothing of wind power forecast errors is well-known for large areas. Comparable effects within a wind farm are investigated in this paper. A Neural Network was taken to predict the power output of a wind farm in north-western Germany comprising 17 turbines. A comparison was done between an algorithm that fits mean wind and mean power data of the wind farm and a second algorithm that fits wind and power data individually for each turbine. The evaluation of root mean square errors (RMSE) shows that relative small smoothing effects occur. However, it can be shown for this wind farm that individual calculations have the advantage that only a few turbines are needed to give better results than the use of mean data. Furthermore different results occurred if predicted wind speeds are directly fitted to observed wind power or if predicted wind speeds are first fitted to observed wind speeds and then applied to a power curve. The first approach gives slightly better RMSE values, the bias improves considerably.

Nadja Saleck; Lueder von Bremen

2007-01-01T23:59:59.000Z

17

Wind Power Forecasting: State-of-the-Art 2009  

E-Print Network (OSTI)

Wind Power Forecasting: State-of-the-Art 2009 ANL/DIS-10-1 Decision and Information Sciences about Argonne and its pioneering science and technology programs, see www.anl.gov. #12;Wind Power

Kemner, Ken

18

Wind power forecasting in U.S. electricity markets.  

SciTech Connect

Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts.

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

2010-04-01T23:59:59.000Z

19

Wind power forecasting in U.S. Electricity markets  

SciTech Connect

Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts. (author)

Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro; Bessa, Ricardo J.

2010-04-15T23:59:59.000Z

20

Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts  

E-Print Network (OSTI)

Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts Antonio that the inherent variability in wind power generation and the related difficulty in predicting future generation profiles, raise major challenges to wind power integration into the electricity grid. In this work we study

Giannitrapani, Antonello

Note: This page contains sample records for the topic "wind power forecasting" 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

Ramp Forecasting Performance from Improved Short-Term Wind Power Forecasting: Preprint  

SciTech Connect

The variable and uncertain nature of wind generation presents a new concern to power system operators. One of the biggest concerns associated with integrating a large amount of wind power into the grid is the ability to handle large ramps in wind power output. Large ramps can significantly influence system economics and reliability, on which power system operators place primary emphasis. The Wind Forecasting Improvement Project (WFIP) was performed to improve wind power forecasts and determine the value of these improvements to grid operators. This paper evaluates the performance of improved short-term wind power ramp forecasting. The study is performed for the Electric Reliability Council of Texas (ERCOT) by comparing the experimental WFIP forecast to the current short-term wind power forecast (STWPF). Four types of significant wind power ramps are employed in the study; these are based on the power change magnitude, direction, and duration. The swinging door algorithm is adopted to extract ramp events from actual and forecasted wind power time series. The results show that the experimental short-term wind power forecasts improve the accuracy of the wind power ramp forecasting, especially during the summer.

Zhang, J.; Florita, A.; Hodge, B. M.; Freedman, J.

2014-05-01T23:59:59.000Z

22

Use of wind power forecasting in operational decisions.  

SciTech Connect

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

23

Next Generation Short-Term Forecasting of Wind Power Overview of the ANEMOS Project.  

E-Print Network (OSTI)

1 Next Generation Short-Term Forecasting of Wind Power ­ Overview of the ANEMOS Project. G outperform current state-of-the-art methods, for onshore and offshore wind power forecasting. Advanced forecasts for the power system management and market integration of wind power. Keywords: Wind power, short

Boyer, Edmond

24

Intra-hour wind power variability assessment using the conditional range metric : quantification, forecasting and applications.  

E-Print Network (OSTI)

??The research presented herein concentrates on the quantification, assessment and forecasting of intra-hour wind power variability. Wind power is intrinsically variable and, due to the (more)

Boutsika, Thekla

2013-01-01T23:59:59.000Z

25

Short-term Wind Power Forecasting Using Advanced Statistical T.S. Nielsen1  

E-Print Network (OSTI)

Short-term Wind Power Forecasting Using Advanced Statistical Methods T.S. Nielsen1 , H. Madsen1 , H considered in the ANEMOS project for short-term fore- casting of wind power. The total procedure typically in for prediction of wind power or wind speed, estimating the uncertainty of the wind power forecast, and finally

Paris-Sud XI, Université de

26

Central Wind Power Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities  

SciTech Connect

The report addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America.

Porter, K.; Rogers, J.

2009-12-01T23:59:59.000Z

27

European Wind Energy Conference -Brussels, Belgium, April 2008 Data mining for wind power forecasting  

E-Print Network (OSTI)

European Wind Energy Conference - Brussels, Belgium, April 2008 Data mining for wind power-term forecasting of wind energy produc- tion up to 2-3 days ahead is recognized as a major contribution the improvement of predic- tion systems performance is recognised as one of the priorities in wind energy research

Paris-Sud XI, Université de

28

Impacts of Improved Day-Ahead Wind Forecasts on Power Grid Operations: September 2011  

SciTech Connect

This study analyzed the potential benefits of improving the accuracy (reducing the error) of day-ahead wind forecasts on power system operations, assuming that wind forecasts were used for day ahead security constrained unit commitment.

Piwko, R.; Jordan, G.

2011-11-01T23:59:59.000Z

29

Value of Improved Wind Power Forecasting in the Western Interconnection (Poster)  

SciTech Connect

Wind power forecasting is a necessary and important technology for incorporating wind power into the unit commitment and dispatch process. It is expected to become increasingly important with higher renewable energy penetration rates and progress toward the smart grid. There is consensus that wind power forecasting can help utility operations with increasing wind power penetration; however, there is far from a consensus about the economic value of improved forecasts. This work explores the value of improved wind power forecasting in the Western Interconnection of the United States.

Hodge, B.

2013-12-01T23:59:59.000Z

30

NCAR WRF-based data assimilation and forecasting systems for wind energy applications power  

E-Print Network (OSTI)

NCAR WRF-based data assimilation and forecasting systems for wind energy applications power Yuewei of these modeling technologies w.r.t. wind energy applications. Then I'll discuss wind farm

Kim, Guebuem

31

Offshore Wind Power USA  

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

The Offshore Wind Power USA conference provides the latest offshore wind market updates and forecasts.

32

Investigating the Correlation Between Wind and Solar Power Forecast Errors in the Western Interconnection: Preprint  

SciTech Connect

Wind and solar power generations differ from conventional energy generation because of the variable and uncertain nature of their power output. This variability and uncertainty can have significant impacts on grid operations. Thus, short-term forecasting of wind and solar generation is uniquely helpful for power system operations to balance supply and demand in an electricity system. This paper investigates the correlation between wind and solar power forecasting errors.

Zhang, J.; Hodge, B. M.; Florita, A.

2013-05-01T23:59:59.000Z

33

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

E-Print Network (OSTI)

1 Evaluation of Advanced Wind Power Forecasting Models ­ Results of the Anemos Project I. Martí1.kariniotakis@ensmp.fr Abstract An outstanding question posed today by end-users like power system operators, wind power producers or traders is what performance can be expected by state-of-the-art wind power prediction models. This paper

Paris-Sud XI, Université de

34

Unit commitment with wind power generation: integrating wind forecast uncertainty and stochastic programming.  

SciTech Connect

We present a computational framework for integrating the state-of-the-art Weather Research and Forecasting (WRF) model in stochastic unit commitment/energy dispatch formulations that account for wind power uncertainty. We first enhance the WRF model with adjoint sensitivity analysis capabilities and a sampling technique implemented in a distributed-memory parallel computing architecture. We use these capabilities through an ensemble approach to model the uncertainty of the forecast errors. The wind power realizations are exploited through a closed-loop stochastic unit commitment/energy dispatch formulation. We discuss computational issues arising in the implementation of the framework. In addition, we validate the framework using real wind speed data obtained from a set of meteorological stations. We also build a simulated power system to demonstrate the developments.

Constantinescu, E. M.; Zavala, V. M.; Rocklin, M.; Lee, S.; Anitescu, M. (Mathematics and Computer Science); (Univ. of Chicago); (New York Univ.)

2009-10-09T23:59:59.000Z

35

Powering Up With Space-Time Wind Forecasting Amanda S. HERING and Marc G. GENTON  

E-Print Network (OSTI)

Powering Up With Space-Time Wind Forecasting Amanda S. HERING and Marc G. GENTON The technology to harvest electricity from wind energy is now advanced enough to make entire cities powered by it a reality be more realistically assessed with a loss measure that depends upon the power curve relating wind speed

Genton, Marc G.

36

MPC for Wind Power Gradients --Utilizing Forecasts, Rotor Inertia, and Central Energy Storage  

E-Print Network (OSTI)

MPC for Wind Power Gradients -- Utilizing Forecasts, Rotor Inertia, and Central Energy Storage iterations. We demonstrate our method in simulations with various wind scenarios and prices for energy. INTRODUCTION Today, wind power is the most important renewable energy source. For the years to come, many

37

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

Science Journals Connector (OSTI)

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

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

1984-08-01T23:59:59.000Z

38

Microsoft Word - Argonne_WindPowerForecasting_Report_Final_Nov...  

Office of Scientific and Technical Information (OSTI)

of Texas ESB Electricity Supply Board (Ireland) EU European Union EWEA European Wind Energy Association FIR-NN finite-impulse response neural network FIS Fuzzy Inference...

39

Managing Wind Power Forecast Uncertainty in Electric Brandon Keith Mauch  

E-Print Network (OSTI)

and faculty. There were many people who helped me during my doctoral studies. First, I want to thank my co-advisors for wind farm management, but they are not perfect. Chapter 2 presents a model of a wind farm with compressed air energy storage (CAES) participating freely in the day-ahead electricity market without

40

Wind Power Forecasting Error Distributions over Multiple Timescales: Preprint  

SciTech Connect

In this paper, we examine the shape of the persistence model error distribution for ten different wind plants in the ERCOT system over multiple timescales. Comparisons are made between the experimental distribution shape and that of the normal distribution.

Hodge, B. M.; Milligan, M.

2011-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind power forecasting" 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

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

Science Journals Connector (OSTI)

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

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

2015-01-01T23:59:59.000Z

42

The effects of energy storage properties and forecast accuracy on mitigating variability in wind power generation  

E-Print Network (OSTI)

Electricity generation from wind power is increasing worldwide. Wind power can offset traditional fossil fuel generators which is beneficial to the environment. However, wind generation is unpredictable. Wind speeds have ...

Jaworsky, Christina A

2013-01-01T23:59:59.000Z

43

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect

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

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

44

Modeling of Uncertainty in Wind Energy Forecast  

E-Print Network (OSTI)

regression and splines are combined to model the prediction error from Tunø Knob wind power plant. This data of the thesis is quantile regression and splines in the context of wind power modeling. Lyngby, February 2006Modeling of Uncertainty in Wind Energy Forecast Jan Kloppenborg Møller Kongens Lyngby 2006 IMM-2006

45

Probabilistic Wind Resource Assessment and Power Predictions  

E-Print Network (OSTI)

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

Firestone, Jeremy

46

Forecast of Regional Power Output of Wind Turbines Hans Georg Beyer, Detlev Heinemann, Harald Mellinghoff, Kai Monnich, Hans-Peter Waldl  

E-Print Network (OSTI)

Forecast of Regional Power Output of Wind Turbines Hans Georg Beyer, Detlev Heinemann, Harald of wind turbines connected to the public electricity grid will be intro- duced. Using this procedure and Northern Germany. At the moment, the installed capacity of wind turbines is in the order of magnitude

Heinemann, Detlev

47

Development and Deployment of an Advanced Wind Forecasting Technique  

E-Print Network (OSTI)

findings. Part 2 addresses how operators of wind power plants and power systems can incorporate advanced the output of advanced wind energy forecasts into decision support models for wind power plant and power in Porto) Power Systems Unit Porto, Portugal Industry Partners Horizon Wind Energy, LLC Midwest Independent

Kemner, Ken

48

PSO2004/FU5766 Improved wind power prediction  

E-Print Network (OSTI)

PSO2004/FU5766 Improved wind power prediction Optimal combined wind power forecasts using exogenous prediction can be accomplished. The application of combining wind power forecasts for certain wind power

49

Today's Forecast: Improved Wind Predictions | Department of Energy  

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

Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

50

Today's Forecast: Improved Wind Predictions | Department of Energy  

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

Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

51

An optimized mean variance estimation method for uncertainty quantification of wind power forecasts  

Science Journals Connector (OSTI)

Abstract A statistical optimized technique for rapid development of reliable prediction intervals (PIs) is presented in this study. The meanvariance estimation (MVE) technique is employed here for quantification of uncertainties related with wind power predictions. In this method, two separate neural network models are used for estimation of wind power generation and its variance. A novel PI-based training algorithm is also presented to enhance the performance of the MVE method and improve the quality of PIs. For an in-depth analysis, comprehensive experiments are conducted with seasonal datasets taken from three geographically dispersed wind farms in Australia. Five confidence levels of \\{PIs\\} are between 50% and 90%. Obtained results show while both traditional and optimized \\{PIs\\} are hypothetically valid, the optimized \\{PIs\\} are much more informative than the traditional MVE PIs. The informativeness of these \\{PIs\\} paves the way for their application in trouble-free operation and smooth integration of wind farms into energy systems.

Abbas Khosravi; Saeid Nahavandi

2014-01-01T23:59:59.000Z

52

Wind Forecast Improvement Project Southern Study Area Final Report...  

Office of Environmental Management (EM)

Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern...

53

Application of an Improved SVM Algorithm for Wind Speed Forecasting  

Science Journals Connector (OSTI)

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

Huaqiang Zhang; Xinsheng Wang; Yinxiao Wu

2011-01-01T23:59:59.000Z

54

Forecasting wind speed financial return  

E-Print Network (OSTI)

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

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

55

Wind Power  

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

Wind 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...

56

The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind power ramps one or more hours ahead of their impact on a wind plant.  

SciTech Connect

ABSTRACT Application of Real-Time Offsite Measurements in Improved Short-Term Wind Ramp Prediction Skill Improved forecasting performance immediately preceding wind ramp events is of preeminent concern to most wind energy companies, system operators, and balancing authorities. The value of near real-time hub height-level wind data and more general meteorological measurements to short-term wind power forecasting is well understood. For some sites, access to onsite measured wind data - even historical - can reduce forecast error in the short-range to medium-range horizons by as much as 50%. Unfortunately, valuable free-stream wind measurements at tall tower are not typically available at most wind plants, thereby forcing wind forecasters to rely upon wind measurements below hub height and/or turbine nacelle anemometry. Free-stream measurements can be appropriately scaled to hub-height levels, using existing empirically-derived relationships that account for surface roughness and turbulence. But there is large uncertainty in these relationships for a given time of day and state of the boundary layer. Alternatively, forecasts can rely entirely on turbine anemometry measurements, though such measurements are themselves subject to wake effects that are not stationary. The void in free-stream hub-height level measurements of wind can be filled by remote sensing (e.g., sodar, lidar, and radar). However, the expense of such equipment may not be sustainable. There is a growing market for traditional anemometry on tall tower networks, maintained by third parties to the forecasting process (i.e., independent of forecasters and the forecast users). This study examines the value of offsite tall-tower data from the WINDataNOW Technology network for short-horizon wind power predictions at a wind farm in northern Montana. The presentation shall describe successful physical and statistical techniques for its application and the practicality of its application in an operational setting. It shall be demonstrated that when used properly, the real-time offsite measurements materially improve wind ramp capture and prediction statistics, when compared to traditional wind forecasting techniques and to a simple persistence model.

Martin Wilde, Principal Investigator

2012-12-31T23:59:59.000Z

57

PSO2004/FU5766 Improved wind power prediction  

E-Print Network (OSTI)

PSO2004/FU5766 Improved wind power prediction Spatio-temporal modelling of short-term wind power of wind power generation in power systems. The quality of the forecast is very important, and a reliable estimate of the uncertainty of the forecast is known to be essential. Today the forecasts of wind power

58

Review of Wind Energy Forecasting Methods for Modeling Ramping Events  

SciTech Connect

Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

2011-03-28T23:59:59.000Z

59

Forecasting Solar Wind Speeds  

E-Print Network (OSTI)

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

Takeru K. Suzuki

2006-02-03T23:59:59.000Z

60

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

Note: This page contains sample records for the topic "wind power forecasting" 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

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

62

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network (OSTI)

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near-surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

63

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network (OSTI)

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near­surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

64

The Wind Forecast Improvement Project (WFIP): A Public/Private...  

Energy Savers (EERE)

Improvement Project (WFIP): A PublicPrivate Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast...

65

Wind power and Wind power and  

E-Print Network (OSTI)

Wind power and the CDM #12; Wind power and the CDM Emerging practices in developing wind power 2005 Jyoti P. Painuly, Niels-Erik Clausen, Jørgen Fenhann, Sami Kamel and Romeo Pacudan #12; WIND POWER AND THE CDM Emerging practices in developing wind power projects for the Clean Development Mechanism Energy

66

Central Wind Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities: Revised Edition  

SciTech Connect

The report and accompanying table addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America. The first part of the table focuses on electric utilities and regional transmission organizations that have central wind power forecasting in place; the second part focuses on electric utilities and regional transmission organizations that plan to adopt central wind power forecasting in 2010. This is an update of the December 2009 report, NREL/SR-550-46763.

Rogers, J.; Porter, K.

2011-03-01T23:59:59.000Z

67

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

Science Journals Connector (OSTI)

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

2014-01-01T23:59:59.000Z

68

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

SciTech Connect

The impact of wind and load forecast errors on power grid operations is frequently evaluated by conducting multi-variant studies, where these errors are simulated repeatedly as random processes based on their known statistical characteristics. To generate these errors correctly, we need to reflect their distributions (which do not necessarily follow a known distribution law), standard deviations, auto- and cross-correlations. For instance, load and wind forecast errors can be closely correlated in different zones of the system. This paper introduces a new methodology for generating multiple cross-correlated random processes to simulate forecast error curves based on a transition probability matrix computed from an empirical error distribution function. The matrix will be used to generate new error time series with statistical features similar to observed errors. We present the derivation of the method and present some experimental results by generating new error forecasts together with their statistics.

Makarov, Yuri V.; Reyes Spindola, Jorge F.; Samaan, Nader A.; Diao, Ruisheng; Hafen, Ryan P.

2010-11-02T23:59:59.000Z

69

wind power station  

Science Journals Connector (OSTI)

wind power station [It may consist of just one wind turbine or a network of windmills] ? Windkraftanlage

2014-08-01T23:59:59.000Z

70

Wind Power  

Science Journals Connector (OSTI)

For off-shore wind energy, it is not economically profitable to locate wind turbines in waters with depths larger than about 40m. For this reason, some floating turbine prototypes are being tested, which can be ...

Ricardo Guerrero-Lemus; Jos Manuel Martnez-Duart

2013-01-01T23:59:59.000Z

71

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

72

Wind for Schools Project Power System Brief, Wind Powering America...  

Wind Powering America (EERE)

Wind Powering America Fact Sheet Series Energy Efficiency & Renewable Energy Wind for Schools Project Power System Brief Wind for Schools Project Power System Brief Wind for...

73

Wind Farm Power Prediction: A Data-Mining Approach  

E-Print Network (OSTI)

into a wind power plant. A number of different approaches have been used in forecasting wind speed and windWind Farm Power Prediction: A Data-Mining Approach Andrew Kusiak*, Haiyang Zheng and Zhe Song, IA 52242­1527, USA In this paper, models for short- and long-term prediction of wind farm power

Kusiak, Andrew

74

Wind Energy Curtailment for Optimal Operation of Power Systems Under Uncertainty.  

E-Print Network (OSTI)

??As the penetration of wind power increases in power systems, there is a need to address the eect of wind forecasting error during the real (more)

Madapati, Koushik

2014-01-01T23:59:59.000Z

75

Wyoming Wind Power Project (generation/wind)  

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

Wind Power > Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Wyoming Wind Power Project (Foote Creek Rim I and II) Thumbnail image of wind...

76

Solar Wind Forecasting with Coronal Holes  

E-Print Network (OSTI)

An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the estimated location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang-Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best one-month periods, and it has a linear correlation coefficient of ~0.38 for the full 11 years studied. Using a single estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and location data.

S. Robbins; C. J. Henney; J. W. Harvey

2007-01-09T23:59:59.000Z

77

Automatic selection of tuning parameters in wind power prediction  

E-Print Network (OSTI)

Automatic selection of tuning parameters in wind power prediction Lasse Engbo Christiansen (lec Report number: IMM-Technical Report-2007-12 Project title: Intelligent wind power prediction systems PSO The wind power forecasting system developed at DTU - the Wind Power Prediction Tool (WPPT) - predicts

78

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

79

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.

Not Available

2006-05-01T23:59:59.000Z

80

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.

Not Available

2007-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind power forecasting" 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

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center  

E-Print Network (OSTI)

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime at wind energy sites are becoming paramount. Regime-switching space-time (RST) models merge meteorological forecast regimes at the wind energy site and fits a conditional predictive model for each regime

Washington at Seattle, University of

82

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

83

Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet...  

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

Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP) Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power...

84

EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility...  

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

6: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI May 3, 2010 EA-1726: Final...

85

Stakeholder Engagement and Outreach: Where Is Wind Power?  

Wind Powering America (EERE)

Where Is Wind Power? Where Is Wind Power? Wind Powering America offers maps to help you visualize the wind resource at a local level and to show how much wind power has been installed in the United States. How much wind power is on my land? Go to the wind resource maps. Go to the wind resource maps. Go to the wind resource maps. If you want to know how much wind power is in a particular area, these wind resource maps can give you a visual indication of the average wind speeds to a local level such as a neighborhood. These maps have been developed using the same mathematical models that are used by weather forecasters and are even used to estimate the wind energy potential-or how much wind energy could potentially be produced at the state level, if wind power were developed there.

86

Development of short-term forecast quality for new offshore wind farms  

Science Journals Connector (OSTI)

As the rapid wind power build-out continues, a large number of new wind farms will come online but forecasters and forecasting algorithms have little experience with them. This is a problem for statistical short term forecasts, which must be trained on a long record of historical power production exactly what is missing for a new farm. Focus of the study was to analyse development of the offshore wind power forecast (WPF) quality from beginning of operation up to one year of operational experience. This paper represents a case study using data of the first German offshore wind farm "alpha ventus" and first German commercial offshore wind farm "Baltic1". The work was carried out with measured data from meteorological measurement mast FINO1, measured power from wind farms and numerical weather prediction (NWP) from the German Weather Service (DWD). This study facilitates to decide the length of needed time series and selection of forecast method to get a reliable WPF on a weekly time axis. Weekly development of WPF quality for day-ahead WPF via different models is presented. The models are physical model; physical model extended with a statistical correction (MOS) and artificial neural network (ANN) as a pure statistical model. Selforganizing map (SOM) is investigated for a better understanding of uncertainties of forecast error.

M Kurt; B Lange

2014-01-01T23:59:59.000Z

87

The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations the Northern Study Area.  

SciTech Connect

This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times. A comprehensive analysis of wind energy forecast errors for the various model-based power forecasts was presented for a suite of wind energy ramp definitions. The results compiled over the year-long study period showed that the power forecasts based on the research models (ESRL_RAP, HRRR) more accurately predict wind energy ramp events than the current operational forecast models, both at the system aggregate level and at the local wind plant level. At the system level, the ESRL_RAP-based forecasts most accurately predict both the total number of ramp events and the occurrence of the events themselves, but the HRRR-based forecasts more accurately predict the ramp rate. At the individual site level, the HRRR-based forecasts most accurately predicted the actual ramp occurrence, the total number of ramps and the ramp rates (40-60% improvement in ramp rates over the coarser resolution forecast

Finley, Cathy [WindLogics

2014-04-30T23:59:59.000Z

88

Wind power today  

SciTech Connect

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

89

WINDExchange: Where Is Wind Power?  

Wind Powering America (EERE)

models that are used by weather forecasters and are even used to estimate the wind energy potential-or how much wind energy could potentially be produced at the state level, if...

90

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.

91

Benefits of Stochastic Scheduling for Power Systems with Significant Installed Wind Power  

E-Print Network (OSTI)

Benefits of Stochastic Scheduling for Power Systems with Significant Installed Wind Power Aidan a stochastic element due to the uncertainty of wind power forecasts. By explicitly taking into account the stochastic nature of wind power, it is expected that better schedules should be produced, thereby reducing

92

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network (OSTI)

J.B. , 2004: Probabilistic wind power forecasts using localforecast intervals for wind power output using NWP-predictedsources such as wind and solar power. Integration of this

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

93

Wind Power Career Chat  

SciTech Connect

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

94

WINDExchange: What Is Wind Power?  

Wind Powering America (EERE)

animation to see how a wind turbine works or take a look inside. Wind power or wind energy describes the process by which the wind is used to generate mechanical power or...

95

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.

96

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.

97

Validation of Power Output for the WIND Toolkit  

SciTech Connect

Renewable energy integration studies require wind data sets of high quality with realistic representations of the variability, ramping characteristics, and forecast performance for current wind power plants. The Wind Integration National Data Set (WIND) Toolkit is meant to be an update for and expansion of the original data sets created for the weather years from 2004 through 2006 during the Western Wind and Solar Integration Study and the Eastern Wind Integration Study. The WIND Toolkit expands these data sets to include the entire continental United States, increasing the total number of sites represented, and it includes the weather years from 2007 through 2012. In addition, the WIND Toolkit has a finer resolution for both the temporal and geographic dimensions. Three separate data sets will be created: a meteorological data set, a wind power data set, and a forecast data set. This report describes the validation of the wind power data set.

King, J.; Clifton, A.; Hodge, B. M.

2014-09-01T23:59:59.000Z

98

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

Science Journals Connector (OSTI)

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

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

2012-09-01T23:59:59.000Z

99

Study and implementation of mesoscale weather forecasting models in the wind industry.  

E-Print Network (OSTI)

?? As the wind industry is developing, it is asking for more reliable short-term wind forecasts to better manage the wind farms operations and electricity (more)

Jourdier, Bndicte

2012-01-01T23:59:59.000Z

100

DOE Science Showcase - Wind Power  

Office of Scientific and Technical Information (OSTI)

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

Note: This page contains sample records for the topic "wind power forecasting" 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

Global Wind Power Installations  

Science Journals Connector (OSTI)

Several countries now have operational offshore wind power plants in Europe. These include Denmark, Sweden, the UK, the Netherlands, Belgium, Ireland, and Finland (see Table 8). Although significant development o...

Dr. Thomas Ackermann; Dr. Rena Kuwahata

2013-01-01T23:59:59.000Z

102

Global Wind Power Installations  

Science Journals Connector (OSTI)

Several countries now have operational offshore wind power plants in Europe. These include Denmark, Sweden, the UK, the Netherlands, Belgium, Ireland, and Finland (see Table 8). Although significant development o...

Dr. Thomas Ackermann; Dr. Rena Kuwahata

2012-01-01T23:59:59.000Z

103

Residential Wind Power  

E-Print Network (OSTI)

Figure 3. Wind Generators in Iowa 2 Figure 4. State Wind Power Capacity 2007 Figure 5. Annual average wind resource estimates in the contiguous United States (http://rredc.nrel.gov) Figure 6. SkyStream Design Overview Figure 7... crisis that raises crude oil prices hampering the price at the pump or commodity production and transportation. Many people do not even take the time to think about the impact to daily life that power and changes within the market play on their lives...

Willis, Gary

2011-12-16T23:59:59.000Z

104

Seasonal Forecasting of Extreme Wind and Precipitation Frequencies in Europe  

E-Print Network (OSTI)

Seasonal Forecasting of Extreme Wind and Precipitation Frequencies in Europe Matthew J. Swann;Abstract Flood and wind damage to property and livelihoods resulting from extreme precipitation events variability of these extreme events can be closely related to the large-scale atmospheric circulation

Feigon, Brooke

105

Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)  

SciTech Connect

This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

Zhang, J.; Hodge, B.; Florita, A.; Lu, S.; Hamann, H.; Banunarayanan, V.

2013-10-01T23:59:59.000Z

106

Wind Power | Open Energy Information  

Open Energy Info (EERE)

Wind Power Wind Power Jump to: navigation, search Wind Power WIndfarm.Sunset.jpg Wind power is a form of solar energy.[1] Wind is caused by the uneven heating of the atmosphere by the sun, variations in the earth's surface, and rotation of the earth. Mountains, bodies of water, and vegetation all influence wind flow patterns[2], [3]. Wind energy (or wind power) describes the process by which wind is used to generate electricity. Wind turbines convert the energy in wind to electricity by rotating propeller-like blades around a rotor. The rotor turns the drive shaft, which turns an electric generator.[2] Three key factors affect the amount of energy a turbine can harness from the wind: wind speed, air density, and swept area.[4] Mechanical power can also be utilized directly for specific tasks such as

107

SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS  

E-Print Network (OSTI)

SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS Hans. For the conventional power park, the power production of the wind turbines presents a fluctuating 'negative load PRODUCTION OF WIND TURBINES For the forecast of the power production of wind turbines two approaches may

Heinemann, Detlev

108

Proceedings Nordic Wind Power Conference  

E-Print Network (OSTI)

Estimation of Possible Power for Wind Plant Control Power Fluctuations from Offshore Wind Farms; Model Validation System grounding of wind farm medium voltage cable grids Faults in the Collection Grid of Offshore systems of wind turbines and wind farms. NWPC presents the newest research results related to technical

109

Short-term wind forecast for the safety management of complex areas during hazardous wind events  

Science Journals Connector (OSTI)

Abstract This paper describes the short-term wind forecast system realised in the framework of the European Project Wind and Ports: The forecast of wind for the management and safety of port areas. The project?s aim is to contribute improving the safety and accessibility to the harbour areas of the largest ports in the Northern Tyrrhenian Sea, which are frequently exposed to hazardous winds, in order to minimise the risks for users, structures, transport means, stored goods and boats within the ports. The short-term wind forecast system is based on a mixed statistical-numerical procedure, trained by means of local wind measurements and implemented into an operational chain for the real-time prediction of the maximum expected wind velocity corresponding to three forecast horizons (30, 60 and 90min) and three non-exceeding probabilities (90%, 95%, and 99%). The local wind measurements used to train the forecast algorithms have been recorded from the 15 ultra-sonic anemometers installed in the Ports of Savona, La Spezia, and Livorno. This wind-monitoring network is used also to carry out the short-term forecast system a posteriori verification and validation.

M. Burlando; M. Pizzo; M.P. Repetto; G. Solari; P. De Gaetano; M. Tizzi

2014-01-01T23:59:59.000Z

110

TS Wind Power Developers | Open Energy Information  

Open Energy Info (EERE)

TS Wind Power Developers Jump to: navigation, search Name: TS Wind Power Developers Place: Satara, Maharashtra, India Sector: Wind energy Product: Setting up 30MW wind farm in...

111

Daqing Longjiang Wind Power | Open Energy Information  

Open Energy Info (EERE)

Longjiang Wind Power Jump to: navigation, search Name: Daqing Longjiang Wind Power Place: Daqing, Heilongjiang Province, China Zip: 163316 Sector: Wind energy Product: Local wind...

112

Heilongjiang Lishu Wind Power | Open Energy Information  

Open Energy Info (EERE)

Lishu Wind Power Jump to: navigation, search Name: Heilongjiang Lishu Wind Power Place: Heilongjiang Province, China Sector: Wind energy Product: China-based wind project developer...

113

Wind pro?le assessment for wind power purposes.  

E-Print Network (OSTI)

??Preliminary estimation of wind speed at the wind turbine hub height is critically important when planning new wind farms. Wind turbine power output is proportional (more)

Sointu, Iida

2014-01-01T23:59:59.000Z

114

Wind power generating system  

SciTech Connect

Normally feathered propeller blades of a wind power generating system unfeather in response to the actuation of a power cylinder that responds to actuating signals. Once operational, the propellers generate power over a large range of wind velocities. A maximum power generation design point signals a feather response of the propellers so that once the design point is reached no increase in power results, but the system still generates power. At wind speeds below this maximum point, propeller speed and power output optimize to preset values. The propellers drive a positive displacement pump that in turn drives a positive displacement motor of the swash plate type. The displacement of the motor varies depending on the load on the system, with increasing displacement resulting in increasing propeller speeds, and the converse. In the event of dangerous but not clandestine problems developing in the system, a control circuit dumps hydraulic pressure from the unfeathering cylinder resulting in a predetermined, lower operating pressure produced by the pump. In the event that a problem of potentially cladestine consequence arises, the propeller unfeathering cylinder immediately unloads. Upon startup, a bypass around the motor is blocked, applying a pressure across the motor. The motor drives the generator until the generator reaches a predetermined speed whereupon the generator is placed in circuit with a utility grid and permitted to motor up to synchronous speed.

Schachle, Ch.; Schachle, E. C.; Schachle, J. R.; Schachle, P. J.

1985-03-12T23:59:59.000Z

115

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height  

Science Journals Connector (OSTI)

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

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

2013-02-01T23:59:59.000Z

116

What day-ahead reserves are needed in electric grids with high levels of wind power?  

Science Journals Connector (OSTI)

Day-ahead load and wind power forecasts provide useful information for operational decision making, but they are imperfect and forecast errors must be offset with operational reserves and balancing of (real time) energy. Procurement of these reserves is of great operational and financial importance in integrating large-scale wind power. We present a probabilistic method to determine net load forecast uncertainty for day-ahead wind and load forecasts. Our analysis uses data from two different electric grids in the US with similar levels of installed wind capacity but with large differences in wind and load forecast accuracy, due to geographic characteristics. We demonstrate that the day-ahead capacity requirements can be computed based on forecasts of wind and load. For 95% day-ahead reliability, this required capacity ranges from 2100 to 5700MW for ERCOT, and 1900 to 4500MW for MISO (with 10 GW of installed wind capacity), depending on the wind and load forecast values. We also show that for each MW of additional wind power capacity for ERCOT, 0.160.30MW of dispatchable capacity will be used to compensate for wind uncertainty based on day-ahead forecasts. For MISO (with its more accurate forecasts), the requirement is 0.070.13MW of dispatchable capacity for each MW of additional wind capacity.

Brandon Mauch; Jay Apt; Pedro M S Carvalho; Paulina Jaramillo

2013-01-01T23:59:59.000Z

117

Energy Department Announces $2.5 Million to Improve Wind Forecasting...  

Energy Savers (EERE)

better forecasts, wind energy plant operators and industry professionals can ensure wind turbines operate closer to maximum capacity, leading to lower energy costs for consumers....

118

Upcoming Funding Opportunity for Wind Forecasting Improvement Project in Complex Terrain  

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

The DOE Wind Program has issued a Notice of Intent for a funding opportunity, tentatively titled Wind Forecasting Improvement Project in Complex Terrain.

119

Online short-term solar power forecasting  

SciTech Connect

This paper describes a new approach to online forecasting of power production from PV systems. The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h. The data used is 15-min observations of solar power from 21 PV systems located on rooftops in a small village in Denmark. The suggested method is a two-stage method where first a statistical normalization of the solar power is obtained using a clear sky model. The clear sky model is found using statistical smoothing techniques. Then forecasts of the normalized solar power are calculated using adaptive linear time series models. Both autoregressive (AR) and AR with exogenous input (ARX) models are evaluated, where the latter takes numerical weather predictions (NWPs) as input. The results indicate that for forecasts up to 2 h ahead the most important input is the available observations of solar power, while for longer horizons NWPs are the most important input. A root mean square error improvement of around 35% is achieved by the ARX model compared to a proposed reference model. (author)

Bacher, Peder; Madsen, Henrik [Informatics and Mathematical Modelling, Richard Pedersens Plads, Technical University of Denmark, Building 321, DK-2800 Lyngby (Denmark); Nielsen, Henrik Aalborg [ENFOR A/S, Lyngsoe Alle 3, DK-2970 Hoersholm (Denmark)

2009-10-15T23:59:59.000Z

120

EWEC'07 Conference, 7-10 May 2007, Milan, Italy. POW'WOW Virtual Laboratory for Wind Power  

E-Print Network (OSTI)

EWEC'07 Conference, 7-10 May 2007, Milan, Italy. 1 POW'WOW Virtual Laboratory for Wind Power for the short-term prediction of wind power production. The relevant and common forecast length of these tools purposes. A state of the art on wind power forecasting has been published by Giebel et al [1]. On the other

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "wind power forecasting" 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

New England Wind Forum: Buying Wind Power  

Wind Powering America (EERE)

Buying Wind Power Buying Wind Power On this page find information about: Green Marketing Renewable Energy Certificates Green Pricing Green Marketing Green power marketing refers to selling green power in the competitive marketplace, in which multiple suppliers and service offerings exist. In states that have established retail competition, customers may be able to purchase green power from a competitive supplier. Connecticut Connecticut Clean Energy Options Beginning in April 2005, Connecticut's two investor-owned utilities, Connecticut Light and Power and United Illuminating, began to offer a simple, affordable program to their customers for purchasing clean energy such as wind power. In late 2006, stakeholders started to explore a new offering that would convey the price stability of wind energy (and other renewable energy resources) to Connecticut consumers. This new offering is still under development.

122

Classification of wind power technologies  

Science Journals Connector (OSTI)

Literature offers many possibilities to classify wind power technologies, for example with respect to their ... which materials are required for the construction of wind power plants and which of them may become....

Anja Brumme

2014-01-01T23:59:59.000Z

123

Probabilistic Forecasts of Wind Speed: Ensemble Model Output Statistics  

E-Print Network (OSTI)

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

Washington at Seattle, University of

124

The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations the Southern Study Area  

SciTech Connect

This Final Report presents a comprehensive description, findings, and conclusions for the Wind Forecast Improvement Project (WFIP)--Southern Study Area (SSA) work led by AWS Truepower (AWST). This multi-year effort, sponsored by the Department of Energy (DOE) and National Oceanographic and Atmospheric Administration (NOAA), focused on improving short-term (15-minute 6 hour) wind power production forecasts through the deployment of an enhanced observation network of surface and remote sensing instrumentation and the use of a state-of-the-art forecast modeling system. Key findings from the SSA modeling and forecast effort include: 1. The AWST WFIP modeling system produced an overall 10 20% improvement in wind power production forecasts over the existing Baseline system, especially during the first three forecast hours; 2. Improvements in ramp forecast skill, particularly for larger up and down ramps; 3. The AWST WFIP data denial experiments showed mixed results in the forecasts incorporating the experimental network instrumentation; however, ramp forecasts showed significant benefit from the additional observations, indicating that the enhanced observations were key to the model systems ability to capture phenomena responsible for producing large short-term excursions in power production; 4. The OU CAPS ARPS simulations showed that the additional WFIP instrument data had a small impact on their 3-km forecasts that lasted for the first 5-6 hours, and increasing the vertical model resolution in the boundary layer had a greater impact, also in the first 5 hours; and 5. The TTU simulations were inconclusive as to which assimilation scheme (3DVAR versus EnKF) provided better forecasts, and the additional observations resulted in some improvement to the forecasts in the first 1 3 hours.

Freedman, Jeffrey M.; Manobianco, John; Schroeder, John; Ancell, Brian; Brewster, Keith; Basu, Sukanta; Banunarayanan, Venkat; Hodge, Bri-Mathias; Flores, Isabel

2014-04-30T23:59:59.000Z

125

European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind Generation by a Dynamic  

E-Print Network (OSTI)

European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind forecasting. I. INTRODUCTION HE actual large-scale integration of wind energy in several European countries enhance the position of wind energy compared to other dispatchable forms of generation. Predicting

Paris-Sud XI, Université de

126

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

127

Wind Forecasting Improvement Project | Department of Energy  

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

3, 2011 - 12:12pm Addthis This is an excerpt from the Third Quarter 2011 edition of the Wind Program R&D Newsletter. In July, the Department of Energy launched a 6 million...

128

Data Mining in Load Forecasting of Power System  

Science Journals Connector (OSTI)

This project applies Data Mining technology to the prediction of electric power system load forecast. It proposes a mining program of electric power load forecasting data based on the similarity of time series .....

Guang Yu Zhao; Yan Yan; Chun Zhou Zhao

2013-01-01T23:59:59.000Z

129

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

E-Print Network (OSTI)

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

130

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime-Switching  

E-Print Network (OSTI)

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime at a wind energy site and fits a conditional predictive model for each regime. Geographically dispersed was applied to 2-hour-ahead forecasts of hourly average wind speed near the Stateline wind energy center

Genton, Marc G.

131

Wind Power: Options for Industry  

SciTech Connect

This six-page brochure outlines ways for industry to integrate wind power, including assessing wind power, building wind farms, using a developer, capitalizing on technology, enhancing the corporate image, and preparing RFPs. Company examples and information resources are also provided.

Not Available

2003-03-01T23:59:59.000Z

132

Guohua Qiqihaer Wind Power | Open Energy Information  

Open Energy Info (EERE)

Qiqihaer Wind Power Jump to: navigation, search Name: Guohua (Qiqihaer) Wind Power Place: Qiqihaer, Heilongjiang Province, China Zip: 161005 Sector: Wind energy Product: Guohua...

133

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

134

Voluntary Green Power Market Forecast through 2015  

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

158 158 May 2010 Voluntary Green Power Market Forecast through 2015 Lori Bird National Renewable Energy Laboratory Ed Holt Ed Holt & Associates, Inc. Jenny Sumner and Claire Kreycik National Renewable Energy Laboratory National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-48158 May 2010 Voluntary Green Power Market Forecast through 2015 Lori Bird National Renewable Energy Laboratory Ed Holt Ed Holt & Associates, Inc. Jenny Sumner and Claire Kreycik National Renewable Energy Laboratory

135

The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations  

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

The Wind Forecast Improvement Project (WFIP) is a U. S. Department of Energy (DOE) sponsored research project whose overarching goals are to improve the accuracy of short-term wind energy forecasts, and to demonstrate the economic value of these improvements.

136

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

SciTech Connect

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

137

Power System Load Forecasting Based on EEMD and ANN  

Science Journals Connector (OSTI)

In order to fully mine the characteristics of load data and improve the accuracy of power system load forecasting, a load forecasting model based on Ensemble Empirical Mode ... is proposed in this paper. Firstly,...

Wanlu Sun; Zhigang Liu; Wenfan Li

2011-01-01T23:59:59.000Z

138

Breeze Wind Power In China.  

E-Print Network (OSTI)

?? China is an energy production and consumption country, wind power is one of the greatest development potential energy.The authors use literature research methodology, case (more)

wang, zhong tao

2012-01-01T23:59:59.000Z

139

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.

140

Limits to Wind Power Utilization  

Science Journals Connector (OSTI)

...NEWMAN, B.G., SPACING OF WIND TURBINES IN LARGE ARRAYS, ENERGY...PUTNAM, P.C., POWER WIND 209 ( 1948 ). RAILLY, J...2.3 x 10"1 W) as the wind potential of the nation, ex-cluding offshore regions. This amounts to...

M. R. Gustavson

1979-04-06T23:59:59.000Z

Note: This page contains sample records for the topic "wind power forecasting" 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

Voluntary Green Power Market Forecast through 2015  

SciTech Connect

Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

Bird, L.; Holt, E.; Sumner, J.; Kreycik, C.

2010-05-01T23:59:59.000Z

142

On the effect of spatial dispersion of wind power plants on the wind energy capacity credit  

Science Journals Connector (OSTI)

Wind energy is now a mature technology and can be considered as a significant contributor in reducing CO2 emissions and protecting the environment. To meet the wind energy national targets, effective implementation of massive wind power installed capacity in the power supply system is required. Additionally, capacity credit is an important issue for an unstable power supply system as in Greece. To achieve high and reliable wind energy penetration levels into the system, the effect of spatial dispersion of wind energy installations within a very wide area (e.g.national level) on the power capacity credit should be accounted for. In the present paper, a methodology for estimating the effect of spatial dispersion of wind farm installations on the capacity credit is presented and applied for the power supply system of Greece. The method is based on probability theory and makes use of wind forecasting models to represent the wind energy potential over any candidate area for future wind farm installations in the country. Representative wind power development scenarios are studied and evaluated. Results show that the spatial dispersion of wind power plants contributes beneficially to the wind capacity credit.

George Caralis; Yiannis Perivolaris; Konstantinos Rados; Arthouros Zervos

2008-01-01T23:59:59.000Z

143

Infinity Wind Power Inc | Open Energy Information  

Open Energy Info (EERE)

Inc Jump to: navigation, search Name: Infinity Wind Power, Inc. Place: Santa Barbara, California Zip: 93105 Sector: Renewable Energy, Wind energy Product: California-based wind...

144

Wind Power Associates LLC | Open Energy Information  

Open Energy Info (EERE)

Associates LLC Jump to: navigation, search Name: Wind Power Associates LLC Place: Goldendale, Washington State Sector: Wind energy Product: Wind farm developer and operater....

145

Definition: Wind power | Open Energy Information  

Open Energy Info (EERE)

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

146

The Political Economy of Wind Power in China  

E-Print Network (OSTI)

of wind power, as the integration of wind power, and thecompany, found that the integration of wind power into the

Swanson, Ryan Landon

2011-01-01T23:59:59.000Z

147

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

E-Print Network (OSTI)

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

McCalley, James D.

148

Wind Power , Introduction  

Science Journals Connector (OSTI)

Successful implementation of new technologies requires social acceptance. Historically, for the implementation of wind energy this was considered a relatively simple issue ... strategies. Without much study, soci...

Prof. Lennart Sder

2013-01-01T23:59:59.000Z

149

Wind Power , Introduction  

Science Journals Connector (OSTI)

Successful implementation of new technologies requires social acceptance. Historically, for the implementation of wind energy this was considered a relatively simple issue ... strategies. Without much study, soci...

Prof. Lennart Sder

2012-01-01T23:59:59.000Z

150

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

151

Wind Powering America: Agricultural Podcasts  

Wind Powering America (EERE)

agricultural/podcasts.asp A series of agricultural/podcasts.asp A series of radio interviews on wind energy aimed at a rural stakeholder audience produced by Wind Powering America and the National Association of Farm Broadcasters. en-us julie.jones@nrel.gov (Julie Jones) http://www.windpoweringamerica.gov/images/wpa_logo_sm.jpg Wind Powering America: Agricultural Podcasts http://www.windpoweringamerica.gov/agricultural/podcasts.asp Wind Energy Forum Enhances Positives of Wind Production http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4043 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4043 Thu, 14 Nov 2013 00:00:00 MST Rural Communities Benefit from Wind Energy's Continued Success http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4021 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4021 Tue, 29

152

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

Open Energy Info (EERE)

Page Edit History Facebook icon Twitter icon Sinomatech Wind Power Blade aka Sinoma Science Technology Wind Turbine Blade Co Ltd Jump to: navigation, search Name: Sinomatech...

153

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.

Not Available

2009-01-01T23:59:59.000Z

154

Are global wind power resource estimates overstated?  

Science Journals Connector (OSTI)

Estimates of the global wind power resource over land range from 56 to 400TW. Most estimates have implicitly assumed that extraction of wind energy does not alter large-scale winds enough to significantly limit wind power production. Estimates that ignore the effect of wind turbine drag on local winds have assumed that wind power production of 24Wm?2 can be sustained over large areas. New results from a mesoscale model suggest that wind power production is limited to about 1Wm?2 at wind farm scales larger than about 100km2. We find that the mesoscale model results are quantitatively consistent with results from global models that simulated the climate response to much larger wind power capacities. Wind resource estimates that ignore the effect of wind turbines in slowing large-scale winds may therefore substantially overestimate the wind power resource.

Amanda S Adams; David W Keith

2013-01-01T23:59:59.000Z

155

System-wide emissions implications of increased wind power penetration.  

SciTech Connect

This paper discusses the environmental effects of incorporating wind energy into the electric power system. We present a detailed emissions analysis based on comprehensive modeling of power system operations with unit commitment and economic dispatch for different wind penetration levels. First, by minimizing cost, the unit commitment model decides which thermal power plants will be utilized based on a wind power forecast, and then, the economic dispatch model dictates the level of production for each unit as a function of the realized wind power generation. Finally, knowing the power production from each power plant, the emissions are calculated. The emissions model incorporates the effects of both cycling and start-ups of thermal power plants in analyzing emissions from an electric power system with increasing levels of wind power. Our results for the power system in the state of Illinois show significant emissions effects from increased cycling and particularly start-ups of thermal power plants. However, we conclude that as the wind power penetration increases, pollutant emissions decrease overall due to the replacement of fossil fuels.

Valentino, L.; Valenzuela, V.; Botterud, A.; Zhou, Z.; Conzelmann, G. (Decision and Information Sciences); (Univ. of Illinois, Champaign/Urbana); (Georgia Institute of Technology)

2012-01-01T23:59:59.000Z

156

Guodian Linghai Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Linghai Wind Power Co Ltd Jump to: navigation, search Name: Guodian Linghai Wind Power Co Ltd Place: China Sector: Wind energy Product: Wind power project developer. References:...

157

Tianjin Jinneng Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Jinneng Wind Power Co Ltd Place: Tianjin Municipality, China Sector: Wind energy Product: Tianjin-based wind power project developer. References: Tianjin Jinneng Wind Power Co...

158

20% Wind Energy by 2030 - Chapter 6: Wind Power Markets Summary...  

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

6: Wind Power Markets Summary Slides 20% Wind Energy by 2030 - Chapter 6: Wind Power Markets Summary Slides Summary slides overviewing wind power markets, growth, applications, and...

159

Wind Farm Monitoring at Lake Benton II Wind Power Project - Equipment Only: Cooperative Research and Development Final Report, CRADA Number CRD-08-275  

SciTech Connect

Long-term, high-resolution wind turbine and wind power plant output data are important to assess the impact of wind power on grid operations and to derive meaningful statistics for better understanding of the variability nature of wind power. These data are used for many research and analyses activities consistent with the Wind Program mission: Establish a database of long-term wind power similar to other long-term renewable energy resource databases (e.g. solar irradiance and hydrology); produce meaningful statistics about long-term variation of wind power, spatial and temporal diversity of wind power, and the correlation of wind power, other renewable energy resources, and utility load; provide high quality, realistic wind power output data for system operations impact studies and wind plant and forecasting model validation.

Gevorgian, V.

2014-06-01T23:59:59.000Z

160

Intelligent wind power prediction systems final report  

E-Print Network (OSTI)

Intelligent wind power prediction systems ­ final report ­ Henrik Aalborg Nielsen (han (FU 4101) Ens. journal number: 79029-0001 Project title: Intelligent wind power prediction systems #12;#12;Intelligent wind power prediction systems 1/36 Contents 1 Introduction 6 2 The Wind Power Prediction Tool 7 3

Note: This page contains sample records for the topic "wind power forecasting" 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

Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint  

SciTech Connect

Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.

Zhang, J.; Hodge, B. M.; Florita, A.; Lu, S.; Hamann, H. F.; Banunarayanan, V.

2013-10-01T23:59:59.000Z

162

Wind Powering America: Webinar Podcasts  

Wind Powering America (EERE)

podcasts_webinar.asp A series of podcasts_webinar.asp A series of Webinars about current wind energy issues. en-us julie.jones@nrel.gov (Julie Jones) http://www.windpoweringamerica.gov/images/wpa_logo_sm.jpg Wind Powering America: Webinar Podcasts http://www.windpoweringamerica.gov/podcasts_webinar.asp Stakeholder Engagement and Outreach Webinar: Jobs and Economic Development Impacts of Offshore Wind http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4004 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=4004 Sun, 1 Dec 2013 00:00:00 MST Small Wind Standards and Policy Update: A WPA Webinar http://www.windpoweringamerica.gov/filter_detail.asp?itemid=3976 http://www.windpoweringamerica.gov/filter_detail.asp?itemid=3976 Fri, 20 Sep 2013 00:00:00 MST 2012 Market Report on U.S. Wind Technologies in

163

POWER SYSTEMS STABILITY WITH LARGE-SCALE WIND POWER PENETRATION  

E-Print Network (OSTI)

of offshore wind farms, wind power fluctuations may introduce several challenges to reliable power system behaviour due to natural wind fluctuations. The rapid power fluctuations from the large scale wind farms Generation Control (AGC) system which includes large- scale wind farms for long-term stability simulation

Bak-Jensen, Birgitte

164

Computational methods in wind power meteorology  

E-Print Network (OSTI)

Computational methods in wind power meteorology Bo Hoffmann Jørgensen, Søren Ott, Niels Nørmark, Jakob Mann and Jake Badger Title: Computational methods in wind power meteorology Department: Wind in connection with the project called Computational meth- ods in wind power meteorology which was supported

165

Cielo Wind Power LLC | Open Energy Information  

Open Energy Info (EERE)

Austin, Texas Zip: 78701 2459 Sector: Wind energy Product: Currently the largest wind power developer in the US Southwest, with developments equaling approximately 600...

166

Berkshire Wind Power Cooperative | Open Energy Information  

Open Energy Info (EERE)

Wind Power Cooperative Wind Power Cooperative Jump to: navigation, search Name Berkshire Wind Power Cooperative Place Holyoke, Massachusetts Sector Wind energy Product The Berkshire Wind Power Cooperative Corp. is a municipal cooperative of 14 Massachusetts municipal utilities and the Massachusetts Municipal Wholesale Electric Co. (MMWEC) invovled in the development of wind farms. References Berkshire Wind Power Cooperative[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Berkshire Wind Power Cooperative is a company located in Holyoke, Massachusetts . References ↑ "Berkshire Wind Power Cooperative" Retrieved from "http://en.openei.org/w/index.php?title=Berkshire_Wind_Power_Cooperative&oldid=342679

167

ANL Study Shows Wind Power Decreases Power Sector Emissions ...  

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

ANL Study Shows Wind Power Decreases Power Sector Emissions ANL Study Shows Wind Power Decreases Power Sector Emissions May 1, 2012 - 3:38pm Addthis This is an excerpt from the...

168

Scotrenewables Wind Power and Marine Power Ltd | Open Energy...  

Open Energy Info (EERE)

Wind Power and Marine Power Ltd Jump to: navigation, search Name: Scotrenewables Wind Power and Marine Power Ltd Place: Orkey, Scotland, United Kingdom Zip: KW16 3AW Sector:...

169

Global and multi-scale features of solar wind-magnetosphere coupling: From modeling to forecasting  

E-Print Network (OSTI)

and substorms; 2784 Magnetospheric Physics: Solar wind/magnetosphere interactions; 3210 Mathematical Geophysics in the solar wind-magnetosphere interaction, de- veloping first principles models that encompass allGlobal and multi-scale features of solar wind-magnetosphere coupling: From modeling to forecasting

Sitnov, Mikhail I.

170

WATER POWER SOLAR POWER WIND POWER  

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

Generation YOUR HOUSE BIOMASS ENERGY GEOTHERMAL ENERGY Clean energy can come from the sun. 2 The energy in wind can make electricity. We can make energy with moving water....

171

Tianyuan Juneng Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Tianyuan Juneng Wind Power Co Ltd Jump to: navigation, search Name: Tianyuan Juneng Wind Power Co Ltd Place: Shuangliao, Jilin Province, China Sector: Wind energy Product: Wind...

172

Liaoning Kangping Jinshan Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Kangping Jinshan Wind Power Co Ltd Jump to: navigation, search Name: Liaoning Kangping Jinshan Wind Power Co Ltd Place: Liaoning Province, China Sector: Wind energy Product: Wind...

173

Liaoning Zhangwu Jinshan Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Zhangwu Jinshan Wind Power Co Ltd Jump to: navigation, search Name: Liaoning Zhangwu Jinshan Wind Power Co Ltd Place: Liaoning Province, China Sector: Wind energy Product: Wind...

174

The Value of Wind Power Forecasting  

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

Preprint Debra Lew and Michael Milligan National Renewable Energy Laboratory Gary Jordan and Richard Piwko GE Energy Presented at the 91 st American Meteorological Society...

175

An Optimized Autoregressive Forecast Error Generator for Wind and Load Uncertainty Study  

SciTech Connect

This paper presents a first-order autoregressive algorithm to generate real-time (RT), hour-ahead (HA), and day-ahead (DA) wind and load forecast errors. The methodology aims at producing random wind and load forecast time series reflecting the autocorrelation and cross-correlation of historical forecast data sets. Five statistical characteristics are considered: the means, standard deviations, autocorrelations, and cross-correlations. A stochastic optimization routine is developed to minimize the differences between the statistical characteristics of the generated time series and the targeted ones. An optimal set of parameters are obtained and used to produce the RT, HA, and DA forecasts in due order of succession. This method, although implemented as the first-order regressive random forecast error generator, can be extended to higher-order. Results show that the methodology produces random series with desired statistics derived from real data sets provided by the California Independent System Operator (CAISO). The wind and load forecast error generator is currently used in wind integration studies to generate wind and load inputs for stochastic planning processes. Our future studies will focus on reflecting the diurnal and seasonal differences of the wind and load statistics and implementing them in the random forecast generator.

De Mello, Phillip; Lu, Ning; Makarov, Yuri V.

2011-01-17T23:59:59.000Z

176

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

Open Energy Info (EERE)

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

177

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

Open Energy Info (EERE)

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

178

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

E-Print Network (OSTI)

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

Baran, Sndor

2014-01-01T23:59:59.000Z

179

Wind Powering America Webinar: Wind and Wildlife Interactions | Department  

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

and Wildlife Interactions and Wildlife Interactions Wind Powering America Webinar: Wind and Wildlife Interactions November 23, 2011 - 2:08pm Addthis This webinar is part of the U.S. Department of Energy's Wind Powering America 2011 webinar series. This webinar will provide an overview of wind turbine and wildlife issues, including a summary of research plans by the American Wind and Wildlife Institute. Other topics will include an update of the U.S. Fish and Wildlife Service wind regulations and bat/wind turbine interactions. The webinar is free; no registration is required. More Addthis Related Articles Wind Powering America Webinar: Wind Power Economics: Past, Present, and Future Trends DOE Announces Webinar on Tying Energy Efficiency to Compensation and Performance Reviews, and More

180

Research on Development Trends of Power Load Forecasting Methods  

Science Journals Connector (OSTI)

In practical problem, number of samples is often limited, for complex issues such as power load forecasting, generally available historical data and information of impact factor are very ... support vector mechan...

Litong Dong; Jun Xu; Haibo Liu; Ying Guo

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind power forecasting" 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

Saturation wind power potential and its implications for wind energy  

Science Journals Connector (OSTI)

...and natural gas produce electricity...As such, wind turbines reduce direct...power, part I: Technologies, energy resources...arrays of wind turbines . J Wind Eng Ind...Yamada T (1982) Development of a turbulence...biofuel soot and gases, and methane...a single wind turbine intersects...

Mark Z. Jacobson; Cristina L. Archer

2012-01-01T23:59:59.000Z

182

Improving an Accuracy of ANN-Based Mesoscale-Microscale Coupling Model by Data Categorization: With Application to Wind Forecast for Offshore and Complex Terrain Onshore Wind Farms  

Science Journals Connector (OSTI)

The ANN-based mesoscale-microscale coupling model forecasts wind speed and wind direction with high accuracy for wind parks located in complex terrain onshore, yet some weather regimes remains unresolved and f...

Alla Sapronova; Catherine Meissner

2014-01-01T23:59:59.000Z

183

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

Science Journals Connector (OSTI)

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

Zhongyue Su; Jianzhou Wang; Haiyan Lu; Ge Zhao

2014-01-01T23:59:59.000Z

184

Probability Distributions and Threshold Selection for Monte CarloType Tropical Cyclone Wind Speed Forecasts  

Science Journals Connector (OSTI)

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

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

2014-10-01T23:59:59.000Z

185

Bias Correction and Bayesian Model Averaging for Ensemble Forecasts of Surface Wind Direction  

E-Print Network (OSTI)

from numerical weather prediction models, which is based on a state-of-the-art circular-processing techniques for forecasts from numerical weather prediction models tend to become ineffective or inapplicableBias Correction and Bayesian Model Averaging for Ensemble Forecasts of Surface Wind Direction Le

Washington at Seattle, University of

186

Wind Powering America Initiative (Fact Sheet)  

SciTech Connect

The U.S. Department of Energy's Wind Powering America initiative engages in technology market acceptance, barrier reduction, and technology deployment support activities. This fact sheet outlines ways in which the Wind Powering America team works to reduce barriers to appropriate wind energy deployment, primarily by focusing on six program areas: workforce development, communications and outreach, stakeholder analysis and resource assessment, wind technology technical support, wind power for Native Americans, and federal sector support and collaboration.

Not Available

2011-01-01T23:59:59.000Z

187

Padoma Wind Power LLC | Open Energy Information  

Open Energy Info (EERE)

Padoma Wind Power LLC Padoma Wind Power LLC Jump to: navigation, search Name Padoma Wind Power LLC Place La Jolla, California Zip 92037 Sector Wind energy Product A wind energy consulting and development company. References Padoma Wind Power LLC[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Padoma Wind Power LLC is a company located in La Jolla, California . References ↑ "Padoma Wind Power LLC" Retrieved from "http://en.openei.org/w/index.php?title=Padoma_Wind_Power_LLC&oldid=349559" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load)

188

New England Wind Forum: Wind Power Policy in New England  

Wind Powering America (EERE)

Projects in New England Building Wind Energy in New England Wind Resource Wind Power Technology Economics Markets Siting Policy Renewable Energy Portfolio Standards State Renewable Energy Funds Federal Tax Incentives and Grants Net Metering and Interconnection Standards Pollutant Emission Reduction Policies Awareness 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 Policy in New England Why Incentives and Policy? Federal and state policies play an important role in encouraging wind energy development by leveling the playing field compared to other energy sources. Many of the substantial benefits of wind power as a domestic, zero-emission part of the energy portfolio - sustainability, displacement of pollutant emissions from other power sources, fuel diversity, price stabilization, keeping a substantial portion of energy expenditures in the local economy - are shared by society as a whole and cannot be readily captured by wind generators directly in the price they charge for their output. In addition, while wind power receives some policy support, the level of federal incentives for wind represents less than 1% of the subsidies and tax breaks given to the fossil fuels and nuclear industries (source: "Wind Power An Increasingly Competitive Source of New Generation." Wind Energy Weekly #1130.).

189

Power System Operation with Large Penetrations of Wind Power  

Science Journals Connector (OSTI)

The characteristics of wind power result in unique challenges for system operators when integrating large penetrations of wind generation into power systems. This chapter discusses some of the power system ope...

Eleanor Denny

2013-01-01T23:59:59.000Z

190

Federal Incentives for Wind Power Deployment | Department of...  

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

Federal Incentives for Wind Power Deployment Federal Incentives for Wind Power Deployment Document that lists some of the major federal incentives for wind power deployment....

191

Wethersfield Wind Power Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Wethersfield Wind Power Wind Farm Wethersfield Wind Power Wind Farm Facility Wethersfield Wind Power Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Enel North America Developer Western NY Wind Power Partners Energy Purchaser Niagara Mohawk Location WY County NY Coordinates 42.667741°, -78.219803° 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":42.667741,"lon":-78.219803,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

192

Wind for Schools: A Wind Powering America Project  

SciTech Connect

This brochure serves as an introduction to Wind Powering America's Wind for Schools Project, including a description of the project, the participants, funding sources, and the basic configurations of the project.

Not Available

2007-12-01T23:59:59.000Z

193

Wind Power System Simulation of Switch Control  

Science Journals Connector (OSTI)

In order to find a balance between energy efficiency and reliability of wind power generation system, this paper presents a ... switch control strategy. This paper establishes a wind power system simulation model...

Yuehua Huang; Guangxu Li; Huanhuan Li

2014-01-01T23:59:59.000Z

194

Federal Incentives for Wind Power Deployment  

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

This factsheet lists some of the major federal incentives for wind power deployment as of September 2014.

195

Wind Powering America Program Overview (Fact Sheet)  

SciTech Connect

This fact sheet provides an overview of the U.S. Department of Energy's Wind Powering America Program.

Not Available

2008-04-01T23:59:59.000Z

196

Wind Powering America: Document Not Found  

Wind Powering America (EERE)

navigation to main content. U.S. Department of Energy Energy Efficiency and Renewable Energy navigation to main content. U.S. Department of Energy Energy Efficiency and Renewable Energy Wind Powering America Document Not Found This is a temporary URL for the U.S. Department of Energy's Wind Powering America website. Either this page does not reside on this temporary server or it does not actually exist. You may try to find it using the search engine. Your page may be located at this URL Illinois 50-Meter Wind Resource Map Indiana 50-Meter Wind Resource Map Missouri 50-Meter Wind Resource Map New Jersey 50-Meter Wind Resource Map Ohio 50-Meter Wind Resource Map New England Wind Projects Wind Energy for Schools - Project Locations Wind Energy Educational Programs and Training You may also find this page by manually navigating to it via Wind Powering

197

Datang Jilin Wind Power Stockholding Co Ltd Formerly Jilin Noble Wind Power  

Open Energy Info (EERE)

Stockholding Co Ltd Formerly Jilin Noble Wind Power Stockholding Co Ltd Formerly Jilin Noble Wind Power Stockholding Co Ltd Jump to: navigation, search Name Datang Jilin Wind Power Stockholding Co Ltd(Formerly Jilin Noble Wind Power Stockholding Co Ltd) Place Changchun, Jilin Province, China Sector Wind energy Product Wind farm developer. References Datang Jilin Wind Power Stockholding Co Ltd(Formerly Jilin Noble Wind Power Stockholding Co Ltd)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Datang Jilin Wind Power Stockholding Co Ltd(Formerly Jilin Noble Wind Power Stockholding Co Ltd) is a company located in Changchun, Jilin Province, China . References ↑ "[ Datang Jilin Wind Power Stockholding Co Ltd(Formerly Jilin

198

Short-term Forecasting of Offshore Wind Farm Production Developments of the Anemos Project  

E-Print Network (OSTI)

Short-term Forecasting of Offshore Wind Farm Production ­ Developments of the Anemos Project J.a.brownsword@rl.ac.uk 6 Overspeed GmBH & Co.KG, 26129 Oldenburg, Germany Email: h.p.waldl@overspeed.de Key words: Offshore to the large dimensions of offshore wind farms, their electricity production must be known well in advance

Paris-Sud XI, Université de

199

Sandia National Laboratories: Wind Power  

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

Wind Energy Staff On March 24, 2011, in Wind Energy On November 10, 2010, in Wind Plant Opt. Rotor Innovation Materials, Reliability & Standards Siting & Barrier Mitigation...

200

NREL: Wind Research - Mariah Power's Windspire Wind Turbine Testing and  

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

Mariah Power's Windspire Wind Turbine Testing and Results Mariah Power's Windspire Wind Turbine Testing and Results A video of Mariah Power's Windspire wind turbine. Text Version As part of the National Renewable Energy Laboratory and U.S. Department of Energy (NREL/DOE) Independent Testing project, NREL tested Mariah Power's Windspire Giromill small wind turbine at the National Wind Technology Center (NWTC) through January 14, 2009 when NREL terminated its testing. Read a chronology of events and letter from Mariah Power to NREL. The Windspire is a 1.2-kilowatt (kW) vertical-axis small wind turbine. The turbine tower is 9.1 meters tall, and its rotor area is 1.2 by 6.1 meters. The turbine has a permanent-magnet generator with a single-phase output at 120 volts AC. Testing Summary Testing was terminated January 14, 2009. Published test reports include

Note: This page contains sample records for the topic "wind power forecasting" 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

Saturation wind power potential and its implications for wind energy  

E-Print Network (OSTI)

Board August 14, 2012 (received for review May 31, 2012) Wind turbines convert kinetic to electrical. As the number of wind turbines increases over large geographic regions, power extraction first increases the number of wind turbines over a large geographic region, indepen- dent of societal, environmental

202

Active power regulation of wind power systems through demand response  

Science Journals Connector (OSTI)

With the specific characteristics of low-carbon intensity and economy, wind power has been widely promoted around the world. Due to the variable and intermittent nature of wind power production, the system has to...

WeiWei Miao; HongJie Jia; Dan Wang; Simon Parkinson

2012-06-01T23:59:59.000Z

203

Arkansas 50m Wind Power Class  

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

50m Wind Power Class 50m Wind Power Class Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: April, 2007 Title: Arkansas 50m Wind Power Class Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

204

Calm or storm? : Wind power actors perceptions of Finnish wind power and its future.  

E-Print Network (OSTI)

??Wind power has grown fast internationally. It can reduce the environmental impact of energy production and increase energy security. Finland has turbine industry but wind (more)

Varho, Vilja

2007-01-01T23:59:59.000Z

205

Fluctuating wind power penetration as limited by frequency standard.  

E-Print Network (OSTI)

??Fluctuating wind power is due to wind turbulence and is the part which should be filtered out leaving behind the more predictable mean wind power (more)

Luo, Changling, 1980-

2005-01-01T23:59:59.000Z

206

Guodian Hefeng Wind Power Development Company | Open Energy Informatio...  

Open Energy Info (EERE)

Hefeng Wind Power Development Company Jump to: navigation, search Name: Guodian Hefeng Wind Power Development Company Place: Huludao, Liaoning Province, China Sector: Wind energy...

207

Ningxia Yinyi Wind Power Generation Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Yinyi Wind Power Generation Co Ltd Jump to: navigation, search Name: Ningxia Yinyi Wind Power Generation Co Ltd Place: Ningxia Autonomous Region, China Sector: Wind energy Product:...

208

Changdao Liankai Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Changdao Liankai Wind Power Co Ltd Jump to: navigation, search Name: Changdao Liankai Wind Power Co Ltd Place: Yantai City, Shandong Province, China Zip: 265800 Sector: Wind energy...

209

Huaneng Shouguang Wind Power Company Limited | Open Energy Information  

Open Energy Info (EERE)

Shouguang Wind Power Company Limited Jump to: navigation, search Name: Huaneng Shouguang Wind Power Company Limited Place: Shouguang, Shandong Province, China Sector: Wind energy...

210

Inner Mongolia Damo Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Damo Wind Power Co Ltd Jump to: navigation, search Name: Inner Mongolia Damo Wind Power Co Ltd Place: Inner Mongolia Autonomous Region, China Sector: Wind energy Product:...

211

Lianyungang Zhongneng United Wind Power Co Ltd | Open Energy...  

Open Energy Info (EERE)

United Wind Power Co Ltd Jump to: navigation, search Name: Lianyungang Zhongneng United Wind Power Co Ltd Place: Lianyungang, Jiangsu Province, China Sector: Wind energy Product: A...

212

Liaoning Shenhua Xiehe Wind Power Investment Limited | Open Energy...  

Open Energy Info (EERE)

Xiehe Wind Power Investment Limited Jump to: navigation, search Name: Liaoning Shenhua Xiehe Wind Power Investment Limited Place: Liaoning Province, China Sector: Wind energy...

213

Dongbai Mountain Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Dongbai Mountain Wind Power Co Ltd Jump to: navigation, search Name: Dongbai Mountain Wind Power Co Ltd Place: Zhejiang Province, China Sector: Wind energy Product: Dongyang-based...

214

Inner Mongolia Lianhe Wind Power Investment | Open Energy Information  

Open Energy Info (EERE)

Lianhe Wind Power Investment Jump to: navigation, search Name: Inner Mongolia Lianhe Wind Power Investment Place: Inner Mongolia Autonomous Region, China Sector: Wind energy...

215

Changtu Liaoneng Xiexin Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Changtu Liaoneng Xiexin Wind Power Co Ltd Jump to: navigation, search Name: Changtu Liaoneng Xiexin Wind Power Co Ltd Place: Liaoning Province, China Sector: Wind energy Product:...

216

Jilin Longyuan Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Longyuan Wind Power Co Ltd Jump to: navigation, search Name: Jilin Longyuan Wind Power Co Ltd Place: Changchun, Jilin Province, China Zip: 130061 Sector: Wind energy Product: Joint...

217

Inner Mongolia Wind Power Corporation | Open Energy Information  

Open Energy Info (EERE)

Wind Power Corporation Place: Inner Mongolia Autonomous Region, China Sector: Wind energy Product: A company engages in wind power project development. References: Inner Mongolia...

218

Xilinguole Guotai Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Xilinguole Guotai Wind Power Co Ltd Jump to: navigation, search Name: Xilinguole Guotai Wind Power Co Ltd Place: China Sector: Wind energy Product: Hong Kong-based project...

219

Guohua Dongtai Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Dongtai Wind Power Co Ltd Jump to: navigation, search Name: Guohua (Dongtai) Wind Power Co Ltd Place: Dongtai, Jiangsu Province, China Zip: 224200 Sector: Wind energy Product:...

220

Zhangbei Guotou Wind Power Plant | Open Energy Information  

Open Energy Info (EERE)

Zhangbei Guotou Wind Power Plant Jump to: navigation, search Name: Zhangbei Guotou Wind Power Plant Place: Beijing Municipality, China Zip: 100037 Sector: Wind energy Product: A...

Note: This page contains sample records for the topic "wind power forecasting" 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

Inner Mongolia Sansheng Wind Power | Open Energy Information  

Open Energy Info (EERE)

Sansheng Wind Power Jump to: navigation, search Name: Inner Mongolia Sansheng Wind Power Place: Inner Mongolia Autonomous Region, China Sector: Wind energy Product: China-based...

222

Datang Jilin Wind Power Stockholding Co Ltd Formerly Jilin Noble...  

Open Energy Info (EERE)

Stockholding Co Ltd Formerly Jilin Noble Wind Power Stockholding Co Ltd Jump to: navigation, search Name: Datang Jilin Wind Power Stockholding Co Ltd(Formerly Jilin Noble Wind...

223

Xinjiang Tianfeng Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Xinjiang Tianfeng Wind Power Co Ltd Jump to: navigation, search Name: Xinjiang Tianfeng Wind Power Co Ltd Place: Urumuqi, Xinjiang Autonomous Region, China Zip: 830002 Sector: Wind...

224

Ningxia Tianjing Shenzhou Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Tianjing Shenzhou Wind Power Co Ltd Jump to: navigation, search Name: Ningxia Tianjing Shenzhou Wind Power Co Ltd Place: Ningxia Autonomous Region, China Zip: 750002 Sector: Wind...

225

Yongsheng National Energy Wind Power Co | Open Energy Information  

Open Energy Info (EERE)

Yongsheng National Energy Wind Power Co Jump to: navigation, search Name: Yongsheng National Energy Wind Power Co Place: Inner Mongolia Autonomous Region, China Sector: Wind energy...

226

Global ocean wind power sensitivity to surface layer stability  

E-Print Network (OSTI)

for the first time, the global ocean 80 m wind power and tofirst time, wind power at 80 m (typical wind turbine hub height) above the global ocean

Capps, Scott B; Zender, Charles S

2009-01-01T23:59:59.000Z

227

20% Wind Energy by 2030 - Chapter 5: Wind Power Siting and Environment...  

Office of Environmental Management (EM)

5: Wind Power Siting and Environmental Effects Summary Slides 20% Wind Energy by 2030 - Chapter 5: Wind Power Siting and Environmental Effects Summary Slides Environment and siting...

228

Integration of wind power in deregulated power systems.  

E-Print Network (OSTI)

??This thesis investigates the impact of integrating wind power into deregulated power systems. It includes a discussion of the history of deregulation and the development (more)

Scorah, Hugh

2010-01-01T23:59:59.000Z

229

U.S. Wind Power Development  

SciTech Connect

The report provides an overview of domestic wind power development which provides an understanding of where the industry stands today, how it got there, and where it is going. The advent of state renewable portfolio standards and the 3-year renewal of the production tax credit have driven wind power to record levels. A key objective of the report is to provide a comprehensive view of what is behind these developments, so that industry participants can take advantage of the opportunity offered by wind power. Topics covered include: overview of U.S. wind power including its history, current status, and future prospects; business drivers of the U.S. wind power market; barriers to the growth of the U.S. wind power market; keys to successful wind power project development; economics of U.S. wind power, including cost, revenue, and government subsidy components; analysis of key state markets for wind power development; and, profiles of major U.S. wind power project developers.

NONE

2007-11-15T23:59:59.000Z

230

Wind Power Today, 2010, Wind and Water Power Program (WWPP) ...  

Office of Environmental Management (EM)

& Publications Wind Program Accomplishments Final Report DE-EE0005380 - Assessment of Offshore Wind Farm Effects on Sea Surface, Subsurface and Airborne Electronic Systems A...

231

Wind for Schools: A Wind Powering America Project (Brochure)  

Wind Powering America (EERE)

for Schools: for Schools: A Wind Powering America Project Donna Berry - Utah State University/PIX13969 2 2 What is the Wind for Schools Project? Energy is largely taken for granted within our society, but that perception is changing as the economic and environmental impacts of our current energy supply structure are more widely understood. The U.S. Department of Energy's (DOE's) Wind Powering America program (at the National Renewable Energy Laboratory) sponsors the Wind for Schools Project to raise awareness in rural America about the benefits of wind energy while simultaneously developing a wind energy knowledge base in future leaders of our communities, states, and nation. A wind turbine located at a school provides students and teachers with a physical example of how communities can take

232

Gansu Xin an Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Xin an Wind Power Co Ltd Jump to: navigation, search Name: Gansu Xin'an Wind Power Co Ltd Place: Gansu Province, China Sector: Wind energy Product: A wind power project developer....

233

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

Science Journals Connector (OSTI)

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

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

234

Wind Speed Forecasting Using a Hybrid Neural-Evolutive Approach  

Science Journals Connector (OSTI)

The design of models for time series prediction has found a solid foundation on statistics. Recently, artificial neural networks have been a good choice as approximators to model and forecast time series. Designing a neural network that provides a good ...

Juan J. Flores; Roberto Loaeza; Hctor Rodrguez; Erasmo Cadenas

2009-11-01T23:59:59.000Z

235

Economic evaluation of demand response in power systems with high wind power penetration  

Science Journals Connector (OSTI)

The penetration of wind power generation is expected to increase in power systems dramatically. The unpredictable nature of the wind generation poses an obstacle to high penetration of wind energy in the electric power systems. Demand response (DR) may be considered as an efficient approach to cope with the energy unbalances caused by the wind power intermittency. Fair mechanism for pricing of the DR may increase the demand-side participation which consequently facilitates wind power integration in the power systems. This paper focuses on the economic evaluation of the DR according to its potential for mitigating the wind power forecast error in the power system operation. Demand increase similar to the demand curtailment is considered as a DR resource and evaluated in this paper. For this purpose first an insight is provided into the power system operation under the high wind power penetration with the aim of extracting the DR benefits. Based on the DR benefits a mathematical model is developed to find the maximum monetary incentive for the DR that the system operator is willing to pay to the DR providers. In the proposed model DR's potential in reducing the cost of supplying load as well as its capability in reducing the cost of system reserve start up and shut down of units load shedding and wind power spillage are considered. The results of the proposed evaluation method provide valuable information for both the system operator and demand response providers. The proposed method is implemented on an example and a realistic case study and discussions on results are presented.

2014-01-01T23:59:59.000Z

236

Hardscrabble Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Hardscrabble Wind Power Project Hardscrabble Wind Power Project Jump to: navigation, search Name Hardscrabble Wind Power Project Facility Hardscrabble Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer Atlantic Wind Location Fairfield and Norway north of Little Falls NY Coordinates 43.076452°, -74.859602° 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":43.076452,"lon":-74.859602,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

237

Power and Frequency Control as it Relates to Wind-Powered Generation  

E-Print Network (OSTI)

of large amounts of wind power production might requirewill be satisfactory as wind power provides an increasing64 7.2 Wind Power in Relation to System

Lacommare, Kristina S H

2011-01-01T23:59:59.000Z

238

Greenhouse Gas Emissions from Operating Reserves Used to Backup Large-Scale Wind Power  

Science Journals Connector (OSTI)

Power systems already carry significant reserves to compensate for errors in electricity load forecasts or unexpected power plant outages. ... It first specifies the probability distributions for forecast errors at hypothetical wind farm sites, and the correlation between those sites, based on statistical data from 10 existing wind farms. ... This work has also assumed that ample transmission capacity is available to move reserves throughout the region; in reality there may be trade-offs between the cost of transmission upgrades, vs losses on long-distance lines, vs reductions in reserve requirements. ...

Matthias Fripp

2011-07-28T23:59:59.000Z

239

Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA  

SciTech Connect

In this paper, we introduce a new approach without implying normal distributions and stationarity of power generation forecast errors. In addition, it is desired to more accurately quantify the forecast uncertainty by reducing prediction intervals of forecasts. We use automatically coupled wavelet transform and autoregressive integrated moving-average (ARIMA) forecasting to reflect multi-scale variability of forecast errors. The proposed analysis reveals slow-changing quasi-deterministic components of forecast errors. This helps improve forecasts produced by other means, e.g., using weather-based models, and reduce forecast errors prediction intervals.

Hou, Zhangshuan; Etingov, Pavel V.; Makarov, Yuri V.; Samaan, Nader A.

2014-10-27T23:59:59.000Z

240

Wind for Schools Project Power System Brief, Wind Powering America Fact Sheet Series  

Wind Powering America (EERE)

Powering America Fact Sheet Series Powering America Fact Sheet Series Energy Efficiency & Renewable Energy Wind for Schools Project Power System Brief Wind for Schools Project Power System Brief Wind for Schools Project Power System Brief This fact sheet provides an overview of the system components of a Wind Powering America Wind for Schools project. Wind Powering America's (WPA's) Wind for Schools project uses a basic system configuration for each school project. The system incorporates a single SkyStream(tm) wind turbine, a 70-ft guyed tower, disconnect boxes at the base of the turbine and at the school, and an interconnection to the school's electrical system. A detailed description of each system component is provided in this document. The local power cooperative or utility should be an integral part of

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


241

Wind for Schools Project Power System Brief  

SciTech Connect

This fact sheet provides an overview of the system components of a Wind Powering America Wind for Schools project. Wind Powering America's (WPA's) Wind for Schools project uses a basic system configuration for each school project. The system incorporates a single SkyStream(TM) wind turbine, a 70-ft guyed tower, disconnect boxes at the base of the turbine and at the school, and an interconnection to the school's electrical system. A detailed description of each system component is provided in this document.

Not Available

2007-08-01T23:59:59.000Z

242

The Political Economy of Wind Power in China  

E-Print Network (OSTI)

declaring offshore wind power to be cheaper than nuclearthe profitable uptake of wind power to the grid. 45 The FITemerges as the ratio of wind power to total power increases

Swanson, Ryan Landon

2011-01-01T23:59:59.000Z

243

Saturation wind power potential and its implications for wind energy  

Science Journals Connector (OSTI)

...ocean. All turbines in this case...4 cells), offshore East Coast...2). All turbines in this case were...The jet stream winds considered were 10S...was available offshore at depths...portion at low turbine penetrations...for calculating wind power potentials...

Mark Z. Jacobson; Cristina L. Archer

2012-01-01T23:59:59.000Z

244

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

E-Print Network (OSTI)

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

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

245

New England Wind Forum: Motivations for Buying Wind Power  

Wind Powering America (EERE)

Motivations for Buying Wind Power Motivations for Buying Wind Power Voluntary Voluntary purchases are often referred to as "Green Power." Voluntary purchases are made by individuals, businesses, governments, and groups of each (known as aggregations) to express personal preferences or meet personal or institutional commitments. One recent example of a government purchase is a request for proposals, issued in February 2005, to supply the Rhode Island State House with renewable energy for a five-year period. Hedging Hedging is a growing motivation to reduce exposure to volatile and rising energy costs. New England's publicly-owned utilities, as well as Vermont's utilities, can stabilize their fuel cost-driven supply portfolios with wind generation. In competitive markets that dominate the New England landscape, larger electricity customers are beginning to look to longer-term purchases of wind power as a means to protect their energy budgets against the volatile fossil-fuel-driven costs. Examples include:

246

Neppel Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Neppel Wind Power Project Neppel Wind Power Project Jump to: navigation, search Name Neppel Wind Power Project Facility Neppel Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer Alliant Energy Energy Purchaser Alliant/IES Utilities Location Armstrong IA Coordinates 43.402001°, -94.578989° 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":43.402001,"lon":-94.578989,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

247

Fenner Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Fenner Wind Power Project Fenner Wind Power Project Jump to: navigation, search Name Fenner Wind Power Project Facility Fenner Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Enel North America Developer Atlantic Renewable Energy Energy Purchaser Market Location Fenner NY Coordinates 43.000482°, -75.762498° 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":43.000482,"lon":-75.762498,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

248

Somerset Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Wind Power Project Wind Power Project Jump to: navigation, search Name Somerset Wind Power Project Facility Somerset Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer Atlantic Renewable Energy Energy Purchaser Exelon Location Somerset County PA Coordinates 39.979794°, -79.009216° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.979794,"lon":-79.009216,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

249

Hebei Hong Song Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Song Wind Power Co Ltd Jump to: navigation, search Name: Hebei Hong-Song Wind Power Co Ltd Place: Chengde, Hebei Province, China Zip: 67000 Sector: Wind energy Product: A wind...

250

FCG Putian Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

FCG Putian Wind Power Co Ltd Jump to: navigation, search Name: FCG (Putian) Wind Power Co Ltd Place: Fuzhou, Fujian Province, China Zip: 320001 Sector: Wind energy Product: Wind...

251

Sinomatech Wind Power Blade aka Sinoma Science Technology Wind Turbine  

Open Energy Info (EERE)

Sinomatech Wind Power Blade aka Sinoma Science Technology Wind Turbine 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 Wind Turbine Blade Co Ltd) Place Nanjing, Jiangsu Province, China Zip 210012 Sector Wind energy Product Jiangsu-based wind turbine blade manufactuer. Coordinates 32.0485°, 118.778969° 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":32.0485,"lon":118.778969,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

252

Wind Power Partners '94 Wind Farm | Open Energy Information  

Open Energy Info (EERE)

4 Wind Farm 4 Wind Farm Jump to: navigation, search Name Wind Power Partners '94 Wind Farm Facility Wind Power Partners '94 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer Kenetech Wind Power Energy Purchaser Lower Colorado River Authority Location Culberson County TX Coordinates 31.3508°, -104.443° 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":31.3508,"lon":-104.443,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

253

Xi an Nordex Wind Turbine Co Ltd aka Xi an Weide Wind Power Equipment...  

Open Energy Info (EERE)

Wind Turbine Co Ltd aka Xi an Weide Wind Power Equipment Co Ltd Jump to: navigation, search Name: Xi'an Nordex Wind Turbine Co Ltd (aka Xi'an Weide Wind Power Equipment Co Ltd)...

254

Verification of Mesoscale NWP Forecasts of Abrupt Cold Frontal Wind Changes  

Science Journals Connector (OSTI)

During a wildfire, a sharp wind change can lead to an abrupt increase in fire activity and change the rate of spread, endangering firefighters working on what had been the flank of the fire. In southeastern Australia, routine forecast of cold-...

Yimin Ma; Xinmei Huang; Graham A. Mills; Kevin Parkyn

2010-02-01T23:59:59.000Z

255

Improved forecasts of extreme weather events by future space borne Doppler wind lidar  

E-Print Network (OSTI)

sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a prioriImproved forecasts of extreme weather events by future space borne Doppler wind lidar Gert

Marseille, Gert-Jan

256

The Political Economy of Wind Power in China  

E-Print Network (OSTI)

wind power as they please. Moreover, according to a study of wind curtailment in North America and Europe,

Swanson, Ryan Landon

2011-01-01T23:59:59.000Z

257

Sandia National Laboratories: Wind Power  

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

Wake Imaging System Doppler Radar SWiFT Operations It is well known that large amounts of wind energy are not effectively harvested in large wind farms because the turbines...

258

Harbin Wind Power Equipment Company | Open Energy Information  

Open Energy Info (EERE)

Company Jump to: navigation, search Name: Harbin Wind Power Equipment Company Place: Harbin, Heilongjiang Province, China Sector: Wind energy Product: A wind turbine manufacturer....

259

Datang Zhangzhou Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Zhangzhou Wind Power Co Ltd Place: Zhangzhou, Fujian Province, China Sector: Wind energy Product: Project developer of the Datang Zhangpu Liuao wind farm in Fujian province, China...

260

Indian Wind Power Association IWPA | Open Energy Information  

Open Energy Info (EERE)

IWPA Jump to: navigation, search Name: Indian Wind Power Association (IWPA) Place: Chennai, Tamil Nadu, India Zip: 600 020 Sector: Wind energy Product: Chennai-based wind energy...

Note: This page contains sample records for the topic "wind power forecasting" 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

Active Power Controls from Wind Power: Bridging the Gaps  

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

This report evaluates how wind power can support power system reliability, and do so economically. The study includes a number of different power system simulations, control simulations, and actual field tests using turbines at the National Renewable Energy Laboratory's (NRELs) National Wind Technology Center (NWTC).

262

Trends of Wind and Wind Power Over the Coterminous United States.  

E-Print Network (OSTI)

??The trends of wind and wind power at a typical wind turbine hub height (80 m) are analyzed using the North American Regional Reanalysis (NARR) (more)

Holt, Eric M

2011-01-01T23:59:59.000Z

263

New Approach to Determine the Need for Operating Reserves in Electricity Markets with Wind Power  

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

The amount of wind power in current electricity supply portfolios around the world is rapidly increasing. To help ensure the power system's reliability and adequacy, grid operators are actively pursuing the development of new rules that fully consider the characteristics of wind power with its variability and forecasting errors. In an article published in the January 2013 issue of IEEE Transactions on Power Systems, researchers at DOE's Argonne National Laboratory are proposing a new concept for operating reserves to help address the challenges of incorporating larger quantities of renewable energy resources into the nation's power grid.

264

New Forecasting Tools Enhance Wind Energy Integration In Idaho...  

Energy Savers (EERE)

mix and what types of other resources-such as quick-start gas- fired units or demand response-will be needed should wind conditions change during the day, as they typically...

265

Active Power Controls from Wind Power: Bridging the Gaps  

SciTech Connect

This paper details a comprehensive study undertaken by the National Renewable Energy Laboratory, Electric Power Research Institute, and the University of Colorado to understand how the contribution of wind power providing active power control (APC) can benefit the total power system economics, increase revenue streams, improve the reliability and security of the power system, and provide superior and efficient response while reducing any structural and loading impacts that may reduce the life of the wind turbine or its components. The study includes power system simulations, control simulations, and actual field tests using turbines at NREL's National Wind Technology Center (NWTC). The study focuses on synthetic inertial control, primary frequency control, and automatic generation control, and analyzes timeframes ranging from milliseconds to minutes to the lifetime of wind turbines, locational scope ranging from components of turbines to large wind plants to entire synchronous interconnections, and additional topics ranging from economics to power system engineering to control design.

Ela, E.; Gevorgian, V.; Fleming, P.; Zhang, Y. C.; Singh, M.; Muljadi, E.; Scholbrook, A.; Aho, J.; Buckspan, A.; Pao, L.; Singhvi, V.; Tuohy, A.; Pourbeik, P.; Brooks, D.; Bhatt, N.

2014-01-01T23:59:59.000Z

266

Silicon Valley Power and Oklahoma Municipal Power Authority Win 2014 Public Power Wind Awards  

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

The Energy Department and the American Public Power Association named Oklahoma Municipal Power Authority and Silicon Valley Power as the winners of the 2014 Public Power Wind Awards.

267

wind powering america | OpenEI Community  

Open Energy Info (EERE)

41 41 Varnish cache server Home Groups Community Central Green Button Applications Developer Utility Rate FRED: FRee Energy Database More Public Groups Private Groups Features Groups Blog posts Content Stream Documents Discussions Polls Q & A Events Notices My stuff Energy blogs 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142235241 Varnish cache server wind powering america Home Graham7781's picture Submitted by Graham7781(2002) Super contributor 30 January, 2013 - 10:55 Wind Powering America Guidebook officially launched on OpenEI guidebook OpenEI wind powering america WPA Wind Powering America's Small Wind Guidebook is now featured in OpenEI, the U.S. Department of Energy's wiki platform for energy information. This guide and the state-specific versions are some of the most successful

268

Impact of Wind Power Plants on Voltage and Transient Stability of Power Systems  

SciTech Connect

A standard three-machine, nine-bus wind power system is studied and augmented by a radially connected wind power plant that contains 22 wind turbine generators.

Muljadi, E.; Nguyen, Tony B.; Pai, M. A.

2008-09-30T23:59:59.000Z

269

A Comparative Analysis of Community Wind Power Development Models  

E-Print Network (OSTI)

Whip Up Hopes for Wind Power Again. The Wall StreetProduction Tax Credit for Wind Power. LBNL-51465. Berkeley,This combination is making wind power an important new cash

Bolinger, Mark; Wiser, Ryan; Wind, Tom; Juhl, Dan; Grace, Robert; West, Peter

2005-01-01T23:59:59.000Z

270

Analysis the Present Situation of Inner Mongolia Wind Power  

Science Journals Connector (OSTI)

The wind energy resource is rich and superior in the Inner Mongolia area. Wind power industry reach a preliminary scale. But with the wind power industry rapid development, appear some critical problems such as power

Linjing Hu; Dongmin Xi

2012-01-01T23:59:59.000Z

271

Global ocean wind power sensitivity to surface layer stability  

E-Print Network (OSTI)

Evaluation of global wind power, J. Geophys. Res. , 110,W. Tang, and X. Xie (2008), Wind power distribution over theApproach to Short-Term Wind Power Prediction, 1st ed. ,

Capps, Scott B; Zender, Charles S

2009-01-01T23:59:59.000Z

272

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

273

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

274

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

E-Print Network (OSTI)

Evaluation of Global Wind Power." Journal of Geophysical2008. "The Economics of Wind Power with Energy Storage."Economics of Large-Scale Wind Power in a Carbon Constrained

Wiser, Ryan H

2010-01-01T23:59:59.000Z

275

RELIABILITY OF WIND POWER FROM DISPERSED SITES: A PRELIMINARY ASSESSMENT  

E-Print Network (OSTI)

ON METHODOLOGY: FROM WIND POWER FREQUENCY TO LOSS-OF-LOADJ.P. , "Some Aspects of Wind Power Statistics, " J. of Appl.SCTION Reliability of Wind Power From Dispersed Sites: A Pr

Kahn, E.

2011-01-01T23:59:59.000Z

276

Global ocean wind power sensitivity to surface layer stability  

E-Print Network (OSTI)

2009 Global ocean wind power sensitivity to surface layer1 May 2009. [ 1 ] Global ocean wind power has recently beenincreases mean global ocean wind power by +58% and 4%,

Capps, Scott B; Zender, Charles S

2009-01-01T23:59:59.000Z

277

Factors driving wind power development in the United States  

E-Print Network (OSTI)

about 1.3 MW of Iowa wind power to supply its Second Natureuse a portion of the wind power to supply customers whosupplies wholesale wind power to four Colorado utilities,

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

2003-01-01T23:59:59.000Z

278

The effect of high penetration of wind power on primary frequency control of power systems.  

E-Print Network (OSTI)

??In this work, a power system with wind power units and hydro power units are considered. The hydro power unit and variable speed wind turbine (more)

Motamed, Bardia

2013-01-01T23:59:59.000Z

279

Dynamic Models for Wind Turbines and Wind Power Plants  

SciTech Connect

The primary objective of this report was to develop universal manufacturer-independent wind turbine and wind power plant models that can be shared, used, and improved without any restrictions by project developers, manufacturers, and engineers. Manufacturer-specific models of wind turbines are favored for use in wind power interconnection studies. While they are detailed and accurate, their usages are limited to the terms of the non-disclosure agreement, thus stifling model sharing. The primary objective of the work proposed is to develop universal manufacturer-independent wind power plant models that can be shared, used, and improved without any restrictions by project developers, manufacturers, and engineers. Each of these models includes representations of general turbine aerodynamics, the mechanical drive-train, and the electrical characteristics of the generator and converter, as well as the control systems typically used. To determine how realistic model performance is, the performance of one of the models (doubly-fed induction generator model) has been validated using real-world wind power plant data. This work also documents selected applications of these models.

Singh, M.; Santoso, S.

2011-10-01T23:59:59.000Z

280

Analysis and forecasting of wind velocity in chetumal, quintana roo, using the single exponential smoothing method  

Science Journals Connector (OSTI)

In this paper the analysis and forecasting of wind velocities in Chetumal, Quintana Roo, Mexico is presented. Measurements were made by the Instituto de Investigaciones Elctricas (IIE) during two years, from 2004 to 2005. This location exemplifies the wind energy generation potential in the Caribbean coast of Mexico that could be employed in the hotel industry in the next decade. The wind speed and wind direction were measured at 10m above ground level. Sensors with high accuracy and a low starting threshold were used. The wind velocity was recorded using a data acquisition system supplied by a 10W photovoltaic panel. The wind speed values were measured with a frequency of 1Hz and the average wind speed was recorded considering regular intervals of 10min. First a statistical analysis of the time series was made in the first part of the paper through conventional and robust measures. Also the forecasting of the last day of measurements was made utilizing the single exponential smoothing method (SES). The results showed a very good accuracy of the data with this technique for an ? value of 0.9. Finally the SES method was compared with the artificial neural network (ANN) method showing the former better results.

E. Cadenas; O.A. Jaramillo; W. Rivera

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind power forecasting" 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

On methodology for modelling wind power impact on power systems  

Science Journals Connector (OSTI)

There is a continuous discussion going on concerning the integration cost of wind power. The integration cost can, for example, be defined as the extra costs in the rest of the system when wind power is introduced, compared with the situation without wind power. The result of the studies depends on both parameters and the method used. The aim of this paper is to structure the methods in order to get some understanding on the impact of different modelling approaches. In general, it can be noted that approximations are always needed since the integration of wind power includes so many complexities including stability of power systems, grid codes, market behaviour, uncertainties and trading possibilities. All these items have to be considered in both the wind power case and in the reference case to obtain an estimation of the integration cost.

Lennart Soder; Hannele Holttinen

2008-01-01T23:59:59.000Z

282

Estimating the impacts of wind power on power systemssummary of IEA Wind  

Science Journals Connector (OSTI)

Adding wind power to power systems will have beneficial impacts by reducing the emissions of electricity production and reducing the operational costs of the power system as less fuel is consumed in conventional power plants. Wind power will also have a capacity value to a power system. However, possible negative impacts will have to be assessed to make sure that they will only offset a small part of the benefits and also to ensure the security of the power system operation. An international forum for the exchange of knowledge of power system impacts of wind power has been formed under the IEA Implementing Agreement on Wind Energy. The Task 'Design and Operation of Power Systems with Large Amounts of Wind Power' is analyzing existing case studies from different power systems. There are a multitude of studies completed and ongoing related to the cost of wind integration. However, the results are not easy to compare. This paper describes the general issues of wind power impacts on power systems and presents a comparison of results from ten case studies on increased balancing needs due to windpower.

Hannele Holttinen

2008-01-01T23:59:59.000Z

283

The Political Economy of Wind Power in China  

E-Print Network (OSTI)

coal-fired power plants each week,? and wind powers currentwind-generated electricity (as contrasted with coal-fired power plants).fired power plants and the number of grid-connected wind

Swanson, Ryan Landon

2011-01-01T23:59:59.000Z

284

Wind and Water Power Program Realignment | Department of Energy  

Office of Environmental Management (EM)

agencies, local communities, and research and development consortia. U.S. Department of Energy Wind Power Program Organization U.S. Department of Energy Wind Power Program...

285

Fujian Putian Nanridao Houshanzai Wind Power Co Ltd | Open Energy...  

Open Energy Info (EERE)

Putian Nanridao Houshanzai Wind Power Co Ltd Jump to: navigation, search Name: Fujian Putian Nanridao Houshanzai Wind Power Co Ltd Place: Putian, Fujian Province, China Sector:...

286

Tongliao Changxing Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Tongliao Changxing Wind Power Co Ltd Jump to: navigation, search Name: Tongliao Changxing Wind Power Co Ltd Place: Tongliao City, Inner Mongolia Autonomous Region, China Sector:...

287

The Economic Impact of Wind Power on Ercot Regulation Market.  

E-Print Network (OSTI)

??U.S. wind power generation has grown rapidly in the last decade due to government policies designed to reduce pollution. Although wind power does not contribute (more)

Zheng, Bin

2013-01-01T23:59:59.000Z

288

CECIC Wind Power Investment Co Ltd | Open Energy Information  

Open Energy Info (EERE)

A subsidiary of China Energy Conservation Investment (CECIC), mainly engages in wind power project developing, investment and construction. References: CECIC Wind Power...

289

Local Content Requirements in British Columbia's Wind Power Industry  

E-Print Network (OSTI)

Local Content Requirements in British Columbia's Wind Power Industry May Hao, Matt Mackenzie, Alex..................................................................................8 4.1 Current Wind Power Projects

Pedersen, Tom

290

Miracle Wind Power Components Manufacture Co Ltd | Open Energy...  

Open Energy Info (EERE)

Miracle Wind Power Components Manufacture Co Ltd Jump to: navigation, search Name: Miracle Wind Power Components Manufacture Co Ltd Place: Wuxi, Jiangsu Province, China Sector:...

291

Fujian Pingtan Changjiangao Wind Power Co Ltd | Open Energy Informatio...  

Open Energy Info (EERE)

Fujian Pingtan Changjiangao Wind Power Co Ltd Jump to: navigation, search Name: Fujian Pingtan Changjiangao Wind Power Co Ltd Place: Pingtan, Fujian Province, China Zip: 350400...

292

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

293

Gansu China Power Jiuquan Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Jiuquan Wind Power Co Ltd Jump to: navigation, search Name: Gansu China Power Jiuquan Wind Power Co Ltd Place: Gansu Province, China Sector: Wind energy Product: China-based wind...

294

Kickoff of Offshore Wind Power in China: Playoffs for China Wind Power Development  

Science Journals Connector (OSTI)

Year 2010 is the significant year of offshore wind power development in China. The first national offshore wind power project is connected to the grid, and the first round of concession projects marks the strong support from central government. It is foreseeable that offshore wind power capacity in China will expand rapidly in the future, and the understanding pattern of it is crucial for analyzing the overall wind market in China and global offshore wind power development. This paper firstly provides an overview of global offshore wind power development, then in China, including historical installation, potential of resources, demonstration and concession projects, and target of development. Based on this, analysis on current policies related to offshore wind power and their implementation, current wind farm developers and turbine manufacturers of China's offshore wind industry is done. All the previous analysis generates complete evaluation of current status and some issues and trends of China offshore wind power development, based on which some policy recommendations for sustainable development of offshore wind power are made.

Zhang Xiliang; Zhang Da; Michele Stua

2012-01-01T23:59:59.000Z

295

Wind Power Career Chat, Wind And Water Power Program (WWPP)  

Wind Powering America (EERE)

Rackstraw Developer, Rackstraw Consulting LLC 1. How did you become interested in wind energy? I wanted to work in a "green" technology, and I happened to see a job posting to...

296

Marquiss Wind Power | Open Energy Information  

Open Energy Info (EERE)

Marquiss Wind Power Marquiss Wind Power Jump to: navigation, search Name Marquiss Wind Power Place Folsom, California Zip 95630 Sector Wind energy Product US-based manufacturer of patented ducted micro-scale wind turbines for use on commercial and industrial rooftops. Coordinates 39.474081°, -80.529699° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.474081,"lon":-80.529699,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

297

Madison Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Madison Wind Power Project Madison Wind Power Project Facility Madison Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Horizon Developer Atlantic Renewable/PG&E Generating Energy Purchaser Market Location Madison County NY Coordinates 42.91455°, -75.569851° 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":42.91455,"lon":-75.569851,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

298

Northwestern Wind Power | Open Energy Information  

Open Energy Info (EERE)

Northwestern Wind Power Northwestern Wind Power Jump to: navigation, search Name Northwestern Wind Power Place Wasco, Oregon Zip OR 97065 Sector Wind energy Product US-based wind project developer. Coordinates 45.591395°, -120.69777° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.591395,"lon":-120.69777,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

299

Desert Wind Power | Open Energy Information  

Open Energy Info (EERE)

Desert Wind Power Desert Wind Power Facility Desert Wind Power Sector Wind energy Facility Type Commercial Scale Wind Facility Status Proposed Developer Iberdrola Renewables Location Pasquotank and Perquimans Counties NC Coordinates 36.435688°, -76.232786° 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":36.435688,"lon":-76.232786,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

300

Shiloh Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Shiloh Wind Power Project Shiloh Wind Power Project Facility Shiloh Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner PPM Energy Inc Developer PPM Energy Inc Energy Purchaser PG&E -Modesto Irrigation District & City of Palo Alto Utilities Location Solano County CA Coordinates 38.154041°, -121.876066° 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":38.154041,"lon":-121.876066,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "wind power forecasting" 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

Evergreen Wind Power LLC | Open Energy Information  

Open Energy Info (EERE)

Wind Power LLC Wind Power LLC Jump to: navigation, search Name Evergreen Wind Power LLC Place Bangor, Maine Zip 4401 Sector Wind energy Product Formed to develop wind projects in Maine. Coordinates 43.892445°, -90.990484° 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":43.892445,"lon":-90.990484,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

302

Moraine Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Moraine Wind Power Project Moraine Wind Power Project Facility Moraine Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner PPM Energy Inc Developer PPM Energy Inc Energy Purchaser Xcel Energy Location Pipestone and Murray Counties MN Coordinates 43.993574°, -96.047301° 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":43.993574,"lon":-96.047301,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

303

The Solar Wind Power from Magnetic Flux  

Science Journals Connector (OSTI)

Observations of the fast, high-latitude solar wind throughout Ulysses' three orbits show that solar wind power correlates remarkably well with the Sun's total open magnetic flux. These observations support a recent model of the solar wind energy and particle sources, where magnetic flux emergence naturally leads to an energy flux proportional to the strength of the large-scale magnetic field. This model has also been shown to be consistent with X-ray observations of the Sun and a variety of other stars over 12 decades of magnetic flux. The observations reported here show that the Sun delivers ~600 kW Wb?1 to power the solar wind, and that this power to magnetic flux relation has been extremely stable over the last 15 years. Thus, the same law that governs energy released in the corona and from other stars also applies to the total energy in the solar wind.

N. A. Schwadron; D. J. McComas

2008-01-01T23:59:59.000Z

304

Potential wind power generation in South Egypt  

Science Journals Connector (OSTI)

Egypt is one of the developing countries. The production of electricity in Egypt is basically on petroleum, natural gas, hydro-power and wind energy. The objective of this work to prove the availability of sufficient wind potential in the wide area of deep south Egypt for the operation of wind turbines there. Nevertheless, it gives in general an approximate profile which is useful to the wind parks design for this area. The data used in the calculation are published and analyzed for the first time. The diagrams of the measured wind data for three meteorological stations over a period of two years (wind speed, frequency, direction), wind shear coefficient, the mean monthly and annual wind speed profile for every location are presented. Monthly Weibull parameters, standard deviation and coefficient of variation have been statistically discussed. A comparison of the rose diagrams shows that the wind speed is more persistent and blow over this region of Egypt in two main sectors N and NNW with long duration of frequencies from 67% to 87% over the year with an average wind speed in the range 6.87.9m/s at the three stations. Evaluation of monthly wind energy density at 10m height by two different methods was carried out. And the final diagram for every site shows no significant difference between them. The annual natural wind energies at 70m A.G.L. lie between 333 and 377W/m2 for Dakhla South and Kharga stations, respectively, which is similar to the inland wind potential of Vindeby (Denmark) and some European countries. These results indicate that Kharga and Dakhla South locations are new explored sites for future wind power generation projects.

Ahmed Shata Ahmed

2012-01-01T23:59:59.000Z

305

Flexing Cable for Wind Power Applications  

Science Journals Connector (OSTI)

As conventional energy sources -- namely oil, gas, and coal -- are increasingly limited in their respective quantities, many countries are encouraging the development of renewable energies. Wind energy, already a well-developed technology, is quickly ... Keywords: Wind Power, Flexing, Cable, energy, Flexibility

Wenyan Qiu; Huili Zhang; Lu Li

2012-05-01T23:59:59.000Z

306

Stakeholder Engagement and Outreach: What Is Wind Power?  

Wind Powering America (EERE)

What Is Wind Power? What Is Wind Power? A three-bladed wind turbine with the internal components visible. Six turbines in a row are electrically connected to the power grid. Wind Power Animation This aerial view of a wind turbine plant shows how a group of wind turbines can make electricity for the utility grid. The electricity is sent through transmission and distribution lines to homes, businesses, schools, and so on. View the wind turbine animation to see how a wind turbine works or take a look inside. Wind power or wind energy describes the process by which the wind is used to generate mechanical power or electricity. Wind turbines convert the kinetic energy in the wind into mechanical power. This mechanical power can be used for specific tasks (such as grinding grain or pumping water), or

307

Ris-R-1256(EN) Isolated Systems with Wind Power  

E-Print Network (OSTI)

Risø-R-1256(EN) Isolated Systems with Wind Power Main Report Per Lundsager, Henrik Bindner, Niels 2001 #12;Abstract It is generally expected that wind power could contribute significantly for such applications of wind power has not yet materialised in any substantial scale. Wind power in isolated power

308

Langford Wind Power LLC | Open Energy Information  

Open Energy Info (EERE)

Langford Wind Power LLC Place: Texas References: EIA Form EIA-861 Final Data File for 2010 - File220101 EIA Form 861 Data Utility Id 56506 This article is a stub. You can help...

309

Sandia National Laboratories: Wind & Water Power Newsletter  

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

of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Wind and Water Power Program. Events Register by August 11th to receive discounted rate for...

310

Wind Power Amercia Final Report  

SciTech Connect

The objective of this grant was to further the development of Montana?¢????s vast wind resources for small, medium and large scale benefits to Montana and the nation. This was accomplished through collaborative work with wind industry representatives, state and local governments, the agricultural community and interested citizens. Through these efforts DEQ was able to identify development barriers, educate and inform citizens as well as participate in regional and national dialogue that will spur the development of wind resources.

Brian Spangler, Kathi Montgomery and Paul Cartwright

2012-01-30T23:59:59.000Z

311

Explore Careers in Wind Power | Department of Energy  

Office of Environmental Management (EM)

the Basic PVC Wind Turbine K-12 Lesson Plan: An Exploration of Wind Energy and Wind Turbines K-12 Lesson Plan: PBS Wind Power for Educators Workforce and Economic Need There...

312

A suite of metrics for assessing the performance of solar power forecasting  

Science Journals Connector (OSTI)

Abstract Forecasting solar energy generation is a challenging task because of the variety of solar power systems and weather regimes encountered. Inaccurate forecasts can result in substantial economic losses and power system reliability issues. One of the key challenges is the unavailability of a consistent and robust set of metrics to measure the accuracy of a solar forecast. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, and applications) that were developed as part of the U.S. Department of Energy SunShot Initiatives efforts to improve the accuracy of solar forecasting. In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design-of-experiments methodology in conjunction with response surface, sensitivity analysis, and nonparametric statistical testing methods. The three types of forecasting improvements are (i) uniform forecasting improvements when there is not a ramp, (ii) ramp forecasting magnitude improvements, and (iii) ramp forecasting threshold changes. Day-ahead and 1-hour-ahead forecasts for both simulated and actual solar power plants are analyzed. The results show that the proposed metrics can efficiently evaluate the quality of solar forecasts and assess the economic and reliability impacts of improved solar forecasting. Sensitivity analysis results show that (i) all proposed metrics are suitable to show the changes in the accuracy of solar forecasts with uniform forecasting improvements, and (ii) the metrics of skewness, kurtosis, and Rnyi entropy are specifically suitable to show the changes in the accuracy of solar forecasts with ramp forecasting improvements and a ramp forecasting threshold.

Jie Zhang; Anthony Florita; Bri-Mathias Hodge; Siyuan Lu; Hendrik F. Hamann; Venkat Banunarayanan; Anna M. Brockway

2015-01-01T23:59:59.000Z

313

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

Science Journals Connector (OSTI)

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

HARALAMBOS S BAGIORGAS; GIOULI MIHALAKAKOU

2012-08-01T23:59:59.000Z

314

Sandia National Laboratories: Wind Power  

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

Sandia Wind Energy in the News On May 4, 2011, in Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin company, for the U.S. Department of Energy's...

315

PBS: Wind Power for Educators  

K-12 Energy Lesson Plans and Activities Web site (EERE)

This lesson on wind energy is designed for physical science, earth science, and environmental science classrooms for grades 9-12, but may also be appropriate for some middle school science classes.

316

Wind Power Quality Test for Comparison of Power Quality Standards  

SciTech Connect

Power quality testing is important to wind power applications for several reasons. The nature of wind turbine generation is different from conventional power plants. Although windfarms are growing in capacity and diversifying in nature in the U.S. and throughout the globe, there is no standard that addresses the power quality of wind turbines or wind farms. The International Electrotechnical Committee (IEC) has convened Working Group 10 (WG10) to address testing and assessment of power quality characteristics of wind turbines. A IEEE task force has been appointed to reconsider flicker measurement procedures in the U.S. Lastly, power quality tests are now required as part of the certification process for wind turbines. NREL began this work both in response to industry request and in support of the IEC working group. (Mr. Gregory is a member of the IEC working group) This paper presents the NREL Certification Testing Team's effort in developing procedures and equipment for power quality testing for wind turbine certification. Summaries of several power quality standards that are applicable to this process are also presented in this paper.

Jacobson, R.; Gregory, B. (National Wind Technology Center)

1999-09-09T23:59:59.000Z

317

Chapter 2 Offshore Wind Power Stations  

Science Journals Connector (OSTI)

Publisher Summary This chapter presents the historical background and development of offshore wind power stations. As early as 1890, windmills were put to work to produce electricity and more than 50,000 mills were in use in the United States alone in the twenties and thirties. Their decline was precipitated by the Rural Electrification Program. According to the San Francisco based Transaction Energy Projects Institute, offshore windmills could generate all the electrical power needed by northern California. Ocean winds have of course provided energy to windmills for centuries. In 1976, a study was commissioned by the (U.S.) Energy Research and Development Administration to ascertain and assess the economic value of offshore multi units aiming at identification and classification of area offshore types, assessing utility requirements for offshore power systems. It includes developing installation concepts including various floating and bottom-mounted designs, assessing current WECS (wind energy converter systems) for use in offshore environments, assessing various electric transmission and hydrogen delivery concepts, and performing an economic assessment, providing tradeoffs for variables such as distance offshore, climate, bottom and wave characteristics and average wave velocities. It is suggested that high wind velocity sites must be identified because the energy flow increases with the cube of the wind velocity; the kinetic energy of the wind passing through the area swept by the blades of a turbine is the energy available to that wind turbine. An average wind speed distribution is required.

1993-01-01T23:59:59.000Z

318

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

E-Print Network (OSTI)

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

Zender, Charles

319

An Examination of the Uncertainty in Interpolated Winds and Its Effect on the Validation and Intercomparison of Forecast Models  

Science Journals Connector (OSTI)

Meteorological models need to be compared to long-term, routinely collected meteorological data. Whenever numerical forecast models are validated and compared, verification winds are normally interpolated to individual model grid points. To be ...

J. Scott Greene; W. Ethan Cook; David Knapp; Patrick Haines

2002-03-01T23:59:59.000Z

320

New England Wind Forum: A Wind Powering America Project - Newsletter #6 - September 2010, (NEWF), Wind and Water Power Program (WWPP)  

Wind Powering America (EERE)

6 - September 2010 6 - September 2010 WIND AND WATER POWER PROGRAM PIX 16204 New England and Northeast Look to the Horizon...and Beyond, for Offshore Wind In early December, Boston hosted the American Wind Energy Association's second annual Offshore Wind Project Workshop. U.S. and European offshore wind stakeholders convened to discuss the emerging U.S. offshore wind industry and provided evidence of a significant increase in activity along the Atlantic Coast from the Carolinas to Maine. The wind power industry and policymakers are looking to offshore for long-term growth, driven by aggressive policy goals, economic develop- ment opportunities, a finite set of attractive land-based wind sites, and immense wind energy potential at a modest distance from major population centers.

Note: This page contains sample records for the topic "wind power forecasting" 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

Aspects Regarding Design of Wind Power Plants Foundation System  

Science Journals Connector (OSTI)

During the past years wind power plants projects have become very important all over ... must be calculated for dynamic loads, especially wind charge. The article present the particularities of the wind power plants

Vasile Farcas; Nicoleta Ilies

2014-01-01T23:59:59.000Z

322

SeaWest WindPower Inc | Open Energy Information  

Open Energy Info (EERE)

WindPower Inc Place: San Diego, California Zip: 92108-4310 Sector: Services, Wind energy Product: SeaWest is a turnkey developer of wind power plants. Their services include...

323

Category:Wind power in China | Open Energy Information  

Open Energy Info (EERE)

Category: Wind Power in China Pages in category "Wind power in China" The following 2 pages are in this category, out of 2 total. C China-2050 Wind Technology Roadmap S Suzlon...

324

On the Wind Power Input to the Ocean General Circulation  

E-Print Network (OSTI)

The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically ...

Zhai, Xiaoming

325

Maoming Zhong ao Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Maoming Zhong ao Wind Power Co Ltd Jump to: navigation, search Name: Maoming Zhong'ao Wind Power Co Ltd Place: Guangdong Province, China Sector: Wind energy Product: Maoming-based...

326

CECIC HKC Wind Power Company Ltd | Open Energy Information  

Open Energy Info (EERE)

HKC Wind Power Company Ltd Jump to: navigation, search Name: CECIC HKC Wind Power Company Ltd Place: China Sector: Wind energy Product: HKC are in a joint venture with China Energy...

327

Jilin Licheng Xiehe Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Licheng Xiehe Wind Power Co Ltd Jump to: navigation, search Name: Jilin Licheng Xiehe Wind Power Co Ltd Place: Jilin Province, China Sector: Wind energy Product: Baicheng-based JV...

328

Innovation Framework for Generating Electricity from Wind Power  

Science Journals Connector (OSTI)

During this phase, wind power was characterized by continuing rapid increase in the capacity and technological differentiation of turbines, the scale of the wind farms and the beginnings of offshore wind power.

Prof. Dr. Elke Bruns; Dr. Drte Ohlhorst

2011-01-01T23:59:59.000Z

329

Wind for Schools Project Power System Brief, Wind Powering America Fact Sheet Series  

SciTech Connect

Wind Powering America's (WPA's) Wind for Schools project uses a basic system configuration for each school project. The system incorporates a single SkyStream wind turbine, a 70-ft guyed tower, disconnect boxes at the base of the turbine and at the school, and an interconnection to the school's electrical system. This document provides a detailed description of each system component.

Baring-Gould, I.

2009-05-01T23:59:59.000Z

330

Wind Power Excites Utility Interest  

Science Journals Connector (OSTI)

...rated at 200 kilowatts peak power output in Clayton, N.M...megawatts (2000 kilowatts) peak power output, is undergoing initial...output fed into the grid of the Bonneville Power Administration. Boeing estimates its machine...

R. JEFFREY SMITH

1980-02-15T23:59:59.000Z

331

Green Power Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Green Power Wind Farm Green Power Wind Farm Facility Green Power Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer GE Energy Energy Purchaser Southern California Edison Co 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":""}]}

332

Feasibility study on wind-powered desalination  

Science Journals Connector (OSTI)

With the global demand for water rising, along with the ever-increasing scarcity of supply, desalination has been seen as a key proponent to meet the future challenges of fresh water. However, desalination uses significant amounts of energy, today mostly from fossil fuels. It is therefore favourable to rely on renewable energies, specifically the wind due to its low-cost and technological maturity, to power desalination systems. To prove the technical feasibility of wind-powered desalination with both reverse osmosis and mechanical vapour compression, physicsbased system models have been developed and the technical feasibility of using wind as the power source for desalination has been confirmed. The economics of wind-powered desalination are also favourable. The costs are in line with what is expected for a conventional desalination system, proving to be particularly cost-competitive in areas with good wind resources that have high costs of energy. It can be concluded that wind-powered desalination can be competitive with other desalination systems, providing safe and clean drinking water efficiently in an environmentally responsible manner.

Markus Forstmeier; Fredrik Mannerheim; Fernando D'Amato; Minesh Shah; Yan Liu; Michael Baldea; Albert Stella

2007-01-01T23:59:59.000Z

333

Ris-R-1330(EN) Wind Turbine Power Performance  

E-Print Network (OSTI)

Risø-R-1330(EN) Wind Turbine Power Performance Verification in Complex Terrain and Wind Farms/EN 61400-12 Ed 1 standard for wind turbine power performance testing is being revised. The standard on power performance measurements on individual wind turbines. The second one is a power performance

334

Title: Ontario Wind Power Allocation Ontario Ministry of Natural Resources  

E-Print Network (OSTI)

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

335

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

E-Print Network (OSTI)

wind power owners standardized and known payment streams (Mendonca 2007). In other markets in Europe,

Wiser, Ryan H

2010-01-01T23:59:59.000Z

336

Wind Powering America Podcasts (Postcards), Wind Powering America (WPA), Energy Efficiency & Renewable Energy (EERE)  

Wind Powering America (EERE)

Photo from iStock/ 6495435 Photo from iStock/ 6495435 Wind Powering America Podcasts Wind Powering America and the National Association of Farm Broadcasters produce a series of radio interviews featuring experts discussing wind energy topics. The interviews are aimed at a rural stakeholder audience and are available as podcasts. On the Wind Powering America website, you can access past interviews on topics such as: * Keys to Local Wind Energy Development Success * What to Know about Installing a Wind Energy System on Your Farm * Wind Energy Development Can Revitalize Rural America. Printed with a renewable-source ink on paper containing at least 50% wastepaper, including 10% post consumer waste. DOE/GO-102012-3585 · April 2012 windpoweringamerica.gov/podcasts_agricultural.asp

337

Investigation of model parameters for high-resolution wind energy forecasting: Case studies over simple and complex terrain  

Science Journals Connector (OSTI)

Abstract Wind power forecasting, turbine micrositing, and turbine design require high-resolution simulations of atmospheric flow. Case studies at two West Coast North American wind farms, one with simple and one with complex terrain, are explored using the Weather Research and Forecasting (WRF) model. Both synoptically and locally driven events that include some ramping are considered. The performance of the model with different grid nesting configurations, turbulence closures, and grid resolutions is investigated through comparisons with observation data. For the simple terrain site, no significant improvement in the simulation results is found when using higher resolution. In contrast, for the complex terrain site, there is significant improvement when using higher resolution, but only during the locally driven event. This suggests the possibility that computational resources could be spared under certain conditions, for example when the topography is adequately resolved at coarser resolutions. Physical parameters such as soil moisture have a very large effect, but mostly for the locally forced events for both simple and complex terrain. The effect of the PBL scheme choice varies significantly depending on the meteorological forcing and terrain. On average, prognostic TKE equation schemes perform better than non-local eddy viscosity schemes.

Nikola Marjanovic; Sonia Wharton; Fotini K. Chow

2014-01-01T23:59:59.000Z

338

Fuxin Union Wind Power Co Ltd formerly known as Liaoning Zhangwu Xiehe Wind  

Open Energy Info (EERE)

Ltd formerly known as Liaoning Zhangwu Xiehe Wind Ltd formerly known as Liaoning Zhangwu Xiehe Wind Power Co Ltd Jump to: navigation, search Name Fuxin Union Wind Power Co Ltd (formerly known as Liaoning Zhangwu Xiehe Wind Power Co Ltd) Place Liaoning Province, China Sector Wind energy Product JV between CWP Development (a wholly-owned subsidiary of Wind Power) and Shenzhen KWC set up to develop, construct and operate wind power facilities. References Fuxin Union Wind Power Co Ltd (formerly known as Liaoning Zhangwu Xiehe Wind Power Co Ltd)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Fuxin Union Wind Power Co Ltd (formerly known as Liaoning Zhangwu Xiehe Wind Power Co Ltd) is a company located in Liaoning Province, China .

339

Analysis of wind power ancillary services characteristics with German 250-MW wind data  

SciTech Connect

With the increasing availability of wind power worldwide, power fluctuations have become a concern for some utilities. Under electric industry restructuring in the US, the impact of these fluctuations will be evaluated by examining provisions and costs of ancillary services for wind power. This paper analyzes wind power in the context of ancillary services, using data from a German 250 Megawatt Wind project.

Ernst, B.

1999-12-09T23:59:59.000Z

340

Wind power in electricity markets: key issues and challenges  

Science Journals Connector (OSTI)

Due to the large penetration and continuous improvement in the wind power technology, wind farms are asked to operate similar to the conventional power plants. In emerging electricity market, wind power generators are now seen differently and should sustain with/without limited government support. Although cost reductions due to technological improvements bring wind power in competitions to conventional fossil-fuel generation, but until now various incentives are required to overcome wind power's cost disadvantage and these incentives may play a significant role in improving the competitiveness of wind power. However, the use and trade of wind power in the market is complicated because of the lack of guarantees of generation, mainly in the wind farms. This paper discusses several key issues and challenges which can be faced by the wind power in the competitive power market. With suitable market mechanism, wind power can be helpful in mitigating the market abuse up to some extent.

B.S. Rajpurohit; S.N. Singh; Istvan Erlich

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind power forecasting" 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

Fenton Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Fenton Wind Power Project Fenton Wind Power Project Jump to: navigation, search Name Fenton Wind Power Project Facility Fenton Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner EnXco Developer EnXco Energy Purchaser Xcel Energy Location Murray and Nobles Counties near Chandler MN Coordinates 43.909806°, -95.965884° 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":43.909806,"lon":-95.965884,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

342

Kumeyaay Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Kumeyaay Wind Power Project Kumeyaay Wind Power Project Jump to: navigation, search Name Kumeyaay Wind Power Project Facility Kumeyaay Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Babcock & Brown Developer Superior Renewable Energy Energy Purchaser San Diego Gas & Electric Location East of San Diego CA Coordinates 32.710183°, -116.333224° 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":32.710183,"lon":-116.333224,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

343

A fuzzy chance-constrained program for unit commitment problem considering demand response, electric vehicle and wind power  

Science Journals Connector (OSTI)

Abstract As a form of renewable and low-carbon energy resource, wind power is anticipated to play an essential role in the future energy structure. Whereas, its features of time mismatch with power demand and uncertainty pose barriers for the power system to utilize it effectively. Hence, a novel unit commitment model is proposed in this paper considering demand response and electric vehicles, which can promote the exploitation of wind power. On the one hand, demand response and electric vehicles have the feasibility to change the load demand curve to solve the mismatch problem. On the other hand, they can serve as reserve for wind power. To deal with the unit commitment problem, authors use a fuzzy chance-constrained program that takes into account the wind power forecasting errors. The numerical study shows that the model can promote the utilization of wind power evidently, making the power system operation more eco-friendly and economical.

Ning Zhang; Zhaoguang Hu; Xue Han; Jian Zhang; Yuhui Zhou

2015-01-01T23:59:59.000Z

344

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

345

Improving Regional Air Quality with Wind Power  

Wind Powering America (EERE)

Improving Regional Air Quality with Improving Regional Air Quality with Wind Power National Renewable Energy Laboratory Improving Regional Air Quality with Wind Power National Renewable Energy Laboratory * Clean Air Act (CAA) framework * Air quality challenges * CAA policies as market drivers * Met. Wash. Council of Governments (MWCOG) case study * Environmental Protection Agency (EPA) guidance on State Implementation Plan (SIP) credit for EERE * Model SIP documentation for wind purchases * Related marketing innovations Overview Overview * CAA requires regional air quality plans (SIPs) * "Window of opportunity" - Revised SIPs required by 2006/2007 to meet new 8-hour ozone and PM standards - August 2004 EPA guidance and NREL model SIP documentation for wind purchases Clean Air Act Framework Clean Air Act Framework

346

Cielo Wind Power | Open Energy Information  

Open Energy Info (EERE)

Cielo Wind Power Cielo Wind Power Address 823 Congress Avenue Place Austin, Texas Zip 78701 Sector Wind energy Product Wind energy developer Website http://www.cielowind.com/ Coordinates 30.270585°, -97.741444° 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":30.270585,"lon":-97.741444,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

347

AG Wind Power Ltd | Open Energy Information  

Open Energy Info (EERE)

Wind Power Ltd Wind Power Ltd Place Sheffield, United Kingdom Zip S3 8EN Sector Wind energy Product UK-based company focused on wind turbine erection and maintenance. Coordinates 53.38311°, -1.464544° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53.38311,"lon":-1.464544,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

348

Wind and Power | Open Energy Information  

Open Energy Info (EERE)

Wind and Power Wind and Power Place Warszawa, Poland Zip 04-320 Sector Solar, Wind energy Product The firm offers small-scale PV panels, inverters, accumulators, solar collectors and wind turbines, and has distributors in Germany, Hungary and Rumania. Coordinates 52.23537°, 21.009485° 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":52.23537,"lon":21.009485,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

349

Wind Power Energia | Open Energy Information  

Open Energy Info (EERE)

Wind Power Energia Wind Power Energia Place Fortaleza, Ceara, Brazil Zip 60160-230 Sector Wind energy Product Brazil-based small scale wind turbine manufacturer. Coordinates -3.718404°, -38.542924° 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":-3.718404,"lon":-38.542924,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

350

Clear Wind Renewable Power | Open Energy Information  

Open Energy Info (EERE)

Clear Wind Renewable Power Clear Wind Renewable Power Place Minneapolis, Minnesota Zip 55416 Sector Wind energy Product Clear Wind focuses its efforts on projects ranging in size from 5 to 50MW in the midwest US. Coordinates 44.979035°, -93.264929° 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":44.979035,"lon":-93.264929,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

351

Jilin CWP Milestone Wind Power Investment Limited | Open Energy Information  

Open Energy Info (EERE)

CWP Milestone Wind Power Investment Limited CWP Milestone Wind Power Investment Limited Jump to: navigation, search Name Jilin CWP-Milestone Wind Power Investment Limited Place Baicheng, Jilin Province, China Sector Wind energy Product JV between Top Well (a wholly-owned subsidiary of Wind Power) and Shenzhen KWC set up to develop, construct and operate wind power facilities in China. References Jilin CWP-Milestone Wind Power Investment Limited[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Jilin CWP-Milestone Wind Power Investment Limited is a company located in Baicheng, Jilin Province, China . References ↑ "Jilin CWP-Milestone Wind Power Investment Limited" Retrieved from "http://en.openei.org/w/index.php?title=Jilin_CWP_Milestone_Wind_Power_Investment_Limited&oldid=347495"

352

Power control of a wind farm with active stall wind turbines and AC grid connection  

E-Print Network (OSTI)

Power control of a wind farm with active stall wind turbines and AC grid connection Anca D. Hansen1 controller for a wind farm made-up exclusively of active stall wind turbines with AC grid connection wind farm control involves both the control on wind turbine level as well as the central control

353

Electricity for road transport, flexible power systems and wind power  

Open Energy Info (EERE)

road transport, flexible power systems and wind power road transport, flexible power systems and wind power (Smart Grid Project) Jump to: navigation, search Project Name Electricity for road transport, flexible power systems and wind power Country Denmark Coordinates 56.26392°, 9.501785° 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":56.26392,"lon":9.501785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

354

Wind to Power Systems | Open Energy Information  

Open Energy Info (EERE)

Wind to Power Systems Wind to Power Systems Place Madrid, Spain Zip 28108 Sector Wind energy Product Wind to Power Systems designs, supplies and installs a device designed for use in wind turbines to provide fault ride-through capability, enabling wind turbines to maintain grid connection during periods of transmission line faults and voltage dips. Coordinates 40.4203°, -3.705774° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.4203,"lon":-3.705774,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

355

Judi Danielson Wind Power: From Niche to Mainstream  

E-Print Network (OSTI)

Judi Danielson Wind Power: From Niche to Mainstream What's Inside (continued on page 11) Winter the same way sails capture the wind to produce lift. In the Northwest, the market for wind power has, was the federal production tax incentive, which lowers the cost of wind power for potential investors

356

ForPeerReview PUBLIC ACCEPTANCE OF OFFSHORE WIND POWER  

E-Print Network (OSTI)

ForPeerReview PUBLIC ACCEPTANCE OF OFFSHORE WIND POWER PROJECTS IN THE UNITED STATES Journal: Wind, Andrew; Minerals Management Service Keywords: offshore wind power, public opinion, social acceptancePeerReview 1 PUBLIC ACCEPTANCE OF OFFSHORE WIND POWER PROJECTS IN THE UNITED STATES Jeremy Firestone*, Willett

Firestone, Jeremy

357

System-Wide Emissions Implications of Increased Wind Power Penetration  

E-Print Network (OSTI)

and ramifications of wind power providing 20% of U.S. electricity by 2030.1 Wind energy is advantageous becauseSystem-Wide Emissions Implications of Increased Wind Power Penetration Lauren Valentino,, Viviana of incorporating wind energy into the electric power system. We present a detailed emissions analysis based

Kemner, Ken

358

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

359

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

360

Sky WindPower Corp | Open Energy Information  

Open Energy Info (EERE)

California Zip: 92065 Sector: Wind energy Product: Sky WindPower is working on turbines that would look like airborne balloons or kites, tethered to the ground. References:...

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


361

Wind Powering America: FY09 Activities Summary (Book)  

SciTech Connect

The Wind Powering America FY09 Activities Summary reflects the accomplishments of state Wind Working Groups, WPA programs at the National Renewable Energy Laboratory, and partner organizations.

Not Available

2010-03-01T23:59:59.000Z

362

Study of auxiliary power systemsfor offshore wind turbines.  

E-Print Network (OSTI)

?? Until today the offshore wind power has grown in a steady pace and many new wind farms are being constructed around the globe. An (more)

Berggren, Joakim

2013-01-01T23:59:59.000Z

363

Technical and economic analysis of US offshore wind power.  

E-Print Network (OSTI)

??Wind power is the fastest growing sector of electricity generation in the world and the development of offshore wind resources is an increasingly important component (more)

McDaniel Wyman, Constance Annette

2014-01-01T23:59:59.000Z

364

Excise Tax Exemption for Solar- or Wind-Powered Systems  

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

Massachusetts law exempts any "solar or wind powered climatic control unit and any solar or wind powered water heating unit or any other type unit or system powered thereby," that qualifies for the...

365

Jilin Taihe Wind Power Limited | Open Energy Information  

Open Energy Info (EERE)

Taihe Wind Power Limited Taihe Wind Power Limited Jump to: navigation, search Name Jilin Taihe Wind Power Limited Place Zhenlai, Jilin Province, China Sector Wind energy Product Top Well and Tianjin DH entered into a contract to establish a joint venture in Zhenlai, in Chinaâ€(tm)s Jilin province to develop a 50MW wind farm in the area under the name Jilin Taihe Wind Power Limited. References Jilin Taihe Wind Power Limited[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Jilin Taihe Wind Power Limited is a company located in Zhenlai, Jilin Province, China . References ↑ "Jilin Taihe Wind Power Limited" Retrieved from "http://en.openei.org/w/index.php?title=Jilin_Taihe_Wind_Power_Limited&oldid=347531

366

PBS: Wind Power for Educators  

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

Power More on This Lesson: Select One Lesson Plan This lesson is designed for physical science, earth science, or environmental science classrooms, grades 9-12. Middle school...

367

Laizhou Luneng Wind Power | Open Energy Information  

Open Energy Info (EERE)

Laizhou Luneng Wind Power Laizhou Luneng Wind Power Jump to: navigation, search Name Laizhou Luneng Wind Power Place Laizhou, Shandong Province, China Sector Wind energy Product A wind project developer. Established in a 2007 joint venture between Shandong Luneng Group and Yantai Dongyuan Power for a total investment of CNY 90m (USD 1.1m). Coordinates 37.168011°, 119.942223° 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":37.168011,"lon":119.942223,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

368

Space-time forecasting and evaluation of wind speed with statistical tests for comparing accuracy of spatial predictions  

E-Print Network (OSTI)

). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 11 Comparing the predictive distributions for the models when the TDD model produces the best forecast (top panel) and when the BST model produces the best forecast (bottom panel). The small vertical line on the x-axis of each plot represents... of wind to benefit humans is not a new concept. Historically, wind- mills have been used to pump water from wells or to grind grain for centuries. But fast- forwarding into the 21st century, ?windmills? are being used to generate electricity. Wind turbines...

Hering, Amanda S.

2010-10-12T23:59:59.000Z

369

The Answer Is Blowing in the Wind: Analysis of Powering Internet Data Centers with Wind Energy  

E-Print Network (OSTI)

The Answer Is Blowing in the Wind: Analysis of Powering Internet Data Centers with Wind Energy Yan. As a result, many IDC operators have started using renewable energy, e.g., wind power, to power their data centers. Unfortunately, the utilization of wind energy has stayed at a low ratio due to the intermittent

370

Wind: wind power density maps at 50m above ground and 1km resolution...  

Open Energy Info (EERE)

maps ... Dataset Activity Stream Wind: wind power density maps at 50m above ground and 1km resolution for Ghana from NREL (Abstract):HTMLREMOVEDHTMLREMOVEDRaster GIS data, 50...

371

Wind: wind power density maps at 50 m above ground and 1km resolution...  

Open Energy Info (EERE)

maps ... Dataset Activity Stream Wind: wind power density maps at 50 m above ground and 1km resolution for Cuba from NREL (Abstract):HTMLREMOVEDHTMLREMOVEDRaster GIS data, 50...

372

Students Learn about Wind Power First-Hand through Wind for Schools Program  

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

Learn about Wind Power First-Hand through Wind for Schools Learn about Wind Power First-Hand through Wind for Schools Program Students Learn about Wind Power First-Hand through Wind for Schools Program February 18, 2011 - 3:48pm Addthis JMU student Greg Miller shows Northumberland students how the blades of a wind turbine work | courtesy of Virginia Center for Wind Energy JMU student Greg Miller shows Northumberland students how the blades of a wind turbine work | courtesy of Virginia Center for Wind Energy April Saylor April Saylor Former Digital Outreach Strategist, Office of Public Affairs What will the project do? Wind for Schools raises awareness in rural America about the benefits of wind energy while simultaneously developing a wind energy knowledge base in communities across the nation. For years, Jenny Christman tried to find a way to get a wind turbine to

373

Yinhe Avantis Wind Power Co Ltd formerly known as Avantis Yinhe Wind Power  

Open Energy Info (EERE)

Yinhe Avantis Wind Power Co Ltd formerly known as Avantis Yinhe Wind Power Yinhe Avantis Wind Power Co Ltd formerly known as Avantis Yinhe Wind Power Co Ltd Jump to: navigation, search Name Yinhe Avantis Wind Power Co Ltd (formerly known as Avantis Yinhe Wind Power Co Ltd ) Place Beihai, Guangxi Autonomous Region, China Zip 536000 Sector Wind energy Product Large scale wind turbine manufacturer developing 2.5MW turbines. Coordinates 21.484501°, 109.105309° 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":21.484501,"lon":109.105309,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

374

Wind Power Plant Voltage Stability Evaluation: Preprint  

SciTech Connect

Voltage stability refers to the ability of a power system to maintain steady voltages at all buses in the system after being subjected to a disturbance from a given initial operating condition. Voltage stability depends on a power system's ability to maintain and/or restore equilibrium between load demand and supply. Instability that may result occurs in the form of a progressive fall or rise of voltages of some buses. Possible outcomes of voltage instability are the loss of load in an area or tripped transmission lines and other elements by their protective systems, which may lead to cascading outages. The loss of synchronism of some generators may result from these outages or from operating conditions that violate a synchronous generator's field current limit, or in the case of variable speed wind turbine generator, the current limits of power switches. This paper investigates the impact of wind power plants on power system voltage stability by using synchrophasor measurements.

Muljadi, E.; Zhang, Y. C.

2014-09-01T23:59:59.000Z

375

Electricity for road transport, flexible power systems and wind...  

Open Energy Info (EERE)

Electricity for road transport, flexible power systems and wind power (Smart Grid Project) Jump to: navigation, search Project Name Electricity for road transport, flexible power...

376

Structural responses and power output of a wind turbine are strongly affected by the wind field acting on the wind turbine. Knowledge about the wind field and its  

E-Print Network (OSTI)

ABSTRACT Structural responses and power output of a wind turbine are strongly affected by the wind affect the power output and structural responses of a wind turbine. Wind field characteristics are conventionally described by time averaged features, such as mean wind speed, turbulence intensity and power

Stanford University

377

The Optimal Power Tracking Control Strategy of Grid-Connected Excited Synchronous Wind Power Generator.  

E-Print Network (OSTI)

??In this thesis, the wind power system is a coaxial coupling structure between servo motor and excited synchronous wind power generator. By using the excited (more)

Cheng, Wen-kai

2014-01-01T23:59:59.000Z

378

Global Wind Power Ltd GWP | Open Energy Information  

Open Energy Info (EERE)

400 059 Sector: Wind energy Product: Mumbai-based firm involved in manufacturing of wind turbines. References: Global Wind Power Ltd. (GWP)1 This article is a stub. You can help...

379

Reactive Power Compensation Strategy of DGIF Wind Park  

Science Journals Connector (OSTI)

In this chapter, two different wind park reactive power compensation strategies for the DFIG wind park connected to the sub-transmission level are proposed. Except considering DFIG wind turbines as dynamic reacti...

JingJing Zhao; Yang Fu; DongDong Li

2014-01-01T23:59:59.000Z

380

Erlianhot Changfeng Xiehe Wind Power Development Co Ltd | Open Energy  

Open Energy Info (EERE)

Erlianhot Changfeng Xiehe Wind Power Development Co Ltd Erlianhot Changfeng Xiehe Wind Power Development Co Ltd Jump to: navigation, search Name Erlianhot Changfeng Xiehe Wind Power Development Co Ltd Place Inner Mongolia Autonomous Region, China Sector Wind energy Product Erlianhot-based wind project developer. It is a JV between Tianjin DH Power Investment and China WindPower Group. References Erlianhot Changfeng Xiehe Wind Power Development Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Erlianhot Changfeng Xiehe Wind Power Development Co Ltd is a company located in Inner Mongolia Autonomous Region, China . References ↑ "[ Erlianhot Changfeng Xiehe Wind Power Development Co Ltd]" Retrieved from

Note: This page contains sample records for the topic "wind power forecasting" 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

Boulder Wind Power | Open Energy Information  

Open Energy Info (EERE)

Boulder Wind Power Boulder Wind Power Address 2845 Wilderness Place Suite 201 Place Boulder, CO Zip 80301 Sector Wind energy Website http://www.boulderwindpower.co Coordinates 40.0406506°, -105.2077798° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.0406506,"lon":-105.2077798,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

382

CECIC Wind Power Zhangbei | Open Energy Information  

Open Energy Info (EERE)

Zhangbei Zhangbei Jump to: navigation, search Name CECIC Wind Power (Zhangbei) Place Zhangbei, Hebei Province, China Sector Wind energy Product A joint venture of CECIC Wind Power Investment and Hong Kong New Energy. Coordinates 41.15551°, 114.71312° 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":41.15551,"lon":114.71312,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

383

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

Science Journals Connector (OSTI)

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

Xiaolan Wang; Hui LI

2012-05-01T23:59:59.000Z

384

Stochastic Modeling of Multi-Area Wind Power Production  

E-Print Network (OSTI)

Stochastic Modeling of Multi-Area Wind Power Production Anthony Papavasiliou Department model accounts for the inter-temporal and spatial dependencies of multi-area wind power production. Results are presented for a case study of the California power system. Keywords - Wind power generation

Oren, Shmuel S.

385

Considering Air Density in Wind Power Production  

E-Print Network (OSTI)

In the wind power production calculations the air density is usually considered as constant in time. Using the CIPM-2007 equation for the density of moist air as a function of air temperature, air pressure and relative humidity, we show that it is worth taking the variation of the air density into account, because higher accuracy can be obtained in the calculation of the power production for little effort.

Farkas, Zn

2011-01-01T23:59:59.000Z

386

Considering Air Density in Wind Power Production  

E-Print Network (OSTI)

In the wind power production calculations the air density is usually considered as constant in time. Using the CIPM-2007 equation for the density of moist air as a function of air temperature, air pressure and relative humidity, we show that it is worth taking the variation of the air density into account, because higher accuracy can be obtained in the calculation of the power production for little effort.

Zn Farkas

2011-03-11T23:59:59.000Z

387

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

Open Energy Info (EERE)

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

388

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

Open Energy Info (EERE)

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

389

Impact of Improved Solar Forecasts on Bulk Power System Operations in ISO-NE: Preprint  

SciTech Connect

The diurnal nature of solar power is made uncertain by variable cloud cover and the influence of atmospheric conditions on irradiance scattering processes. Its forecasting has become increasingly important to the unit commitment and dispatch process for efficient scheduling of generators in power system operations. This study examines the value of improved solar power forecasting for the Independent System Operator-New England system. The results show how 25% solar power penetration reduces net electricity generation costs by 22.9%.

Brancucci Martinez-Anido, C.; Florita, A.; Hodge, B. M.

2014-09-01T23:59:59.000Z

390

Datang Chifeng Saihanba Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Saihanba Wind Power Co Ltd Saihanba Wind Power Co Ltd Jump to: navigation, search Name Datang Chifeng Saihanba Wind Power Co Ltd Place Chifeng, Inner Mongolia Autonomous Region, China Zip 24000 Sector Wind energy Product This subsidiary of China Datang Corporation develops and owns several wind projects in the Inner Mongolia Autonomous Region of China. References Datang Chifeng Saihanba Wind Power Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Datang Chifeng Saihanba Wind Power Co Ltd is a company located in Chifeng, Inner Mongolia Autonomous Region, China . References ↑ "Datang Chifeng Saihanba Wind Power Co Ltd" Retrieved from "http://en.openei.org/w/index.php?title=Datang_Chifeng_Saihanba_Wind_Power_Co_Ltd&oldid=344087

391

Guangdong Mingyang Wind Power Technology Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Mingyang Wind Power Technology Co Ltd Mingyang Wind Power Technology Co Ltd Jump to: navigation, search Name Guangdong Mingyang Wind Power Technology Co Ltd Place Zhongshan City, Guangdong Province, China Sector Wind energy Product Subsidiary of privately owned Guangdong Mingyang Electric that manufacturers 1.5MW wind turbines. References Guangdong Mingyang Wind Power Technology Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Guangdong Mingyang Wind Power Technology Co Ltd is a company located in Zhongshan City, Guangdong Province, China . References ↑ "Guangdong Mingyang Wind Power Technology Co Ltd" Retrieved from "http://en.openei.org/w/index.php?title=Guangdong_Mingyang_Wind_Power_Technology_Co_Ltd&oldid=346230

392

Hangtian Longyuan Benxi Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Hangtian Longyuan Benxi Wind Power Co Ltd Hangtian Longyuan Benxi Wind Power Co Ltd Jump to: navigation, search Name Hangtian Longyuan (Benxi) Wind Power Co Ltd Place Liaoning Province, China Sector Wind energy Product A joint venture established for a 24.65MW wind farm in Benxi, Liaoning Province. References Hangtian Longyuan (Benxi) Wind Power Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Hangtian Longyuan (Benxi) Wind Power Co Ltd is a company located in Liaoning Province, China . References ↑ "[ Hangtian Longyuan (Benxi) Wind Power Co Ltd]" Retrieved from "http://en.openei.org/w/index.php?title=Hangtian_Longyuan_Benxi_Wind_Power_Co_Ltd&oldid=346369" Categories: Clean Energy Organizations

393

WindPower Innovations Inc | Open Energy Information  

Open Energy Info (EERE)

WindPower Innovations Inc WindPower Innovations Inc Jump to: navigation, search Name WindPower Innovations Inc Place Queen Creek, Arizona Zip 85142 Sector Wind energy Product Arizona-based company focused on refurbishment and repair of wind turbine gearboxes. References WindPower Innovations Inc[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. WindPower Innovations Inc is a company located in Queen Creek, Arizona . References ↑ "WindPower Innovations Inc" Retrieved from "http://en.openei.org/w/index.php?title=WindPower_Innovations_Inc&oldid=353107" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version

394

Hebei Yeelong Wind Power Equipment Manufacturing Co Ltd | Open Energy  

Open Energy Info (EERE)

Yeelong Wind Power Equipment Manufacturing Co Ltd Yeelong Wind Power Equipment Manufacturing Co Ltd Jump to: navigation, search Name Hebei Yeelong Wind Power Equipment Manufacturing Co Ltd Place Hebei Province, China Sector Wind energy Product China-based wind turbine equipment manufacturer. References Hebei Yeelong Wind Power Equipment Manufacturing Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Hebei Yeelong Wind Power Equipment Manufacturing Co Ltd is a company located in Hebei Province, China . References ↑ "[ Hebei Yeelong Wind Power Equipment Manufacturing Co Ltd]" Retrieved from "http://en.openei.org/w/index.php?title=Hebei_Yeelong_Wind_Power_Equipment_Manufacturing_Co_Ltd&oldid=346424

395

Baoding Tianwei Wind Power Blade Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Tianwei Wind Power Blade Co Ltd Tianwei Wind Power Blade Co Ltd Jump to: navigation, search Name Baoding Tianwei Wind Power Blade Co Ltd Place Hebei Province, China Sector Wind energy Product Wind turbine blade maker. References Baoding Tianwei Wind Power Blade Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Baoding Tianwei Wind Power Blade Co Ltd is a company located in Hebei Province, China . References ↑ "Baoding Tianwei Wind Power Blade Co Ltd" Retrieved from "http://en.openei.org/w/index.php?title=Baoding_Tianwei_Wind_Power_Blade_Co_Ltd&oldid=342529" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages

396

Guohua AES Huanghua Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Huanghua Wind Power Co Ltd Huanghua Wind Power Co Ltd Jump to: navigation, search Name Guohua AES (Huanghua) Wind Power Co Ltd Place Huanghua, Hebei Province, China Sector Wind energy Product The developer of the 1GW Huanghua Wind Farm in Hebei Province in China. It is a joint venture of Guohua Energy Investment and AES. References Guohua AES (Huanghua) Wind Power Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Guohua AES (Huanghua) Wind Power Co Ltd is a company located in Huanghua, Hebei Province, China . References ↑ "Guohua AES (Huanghua) Wind Power Co Ltd" Retrieved from "http://en.openei.org/w/index.php?title=Guohua_AES_Huanghua_Wind_Power_Co_Ltd&oldid=34630

397

Qixia Rulin Wind Power Development Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Qixia Rulin Wind Power Development Co Ltd Qixia Rulin Wind Power Development Co Ltd Jump to: navigation, search Name Qixia Rulin Wind Power Development Co. Ltd. Place Qixia City, Shandong Province, China Zip 265300 Sector Wind energy Product Local wind project developer based in Qixia, Shandong province, China. References Qixia Rulin Wind Power Development Co. Ltd.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Qixia Rulin Wind Power Development Co. Ltd. is a company located in Qixia City, Shandong Province, China . References ↑ "Qixia Rulin Wind Power Development Co. Ltd." Retrieved from "http://en.openei.org/w/index.php?title=Qixia_Rulin_Wind_Power_Development_Co_Ltd&oldid=350125

398

The KAMM/WAsP Numerical Wind Atlas A powerful ingredient for wind energy planning  

E-Print Network (OSTI)

The KAMM/WAsP Numerical Wind Atlas A powerful ingredient for wind energy planning J. Badger, N.G. Mortensen, J.C. Hansen Wind Energy Department Risø National Laboratory Great Wall World Renewable Energy Forum Beijing, 23-27 October 2006 #12;Wind Farm Planning National Wind Atlas Environmental Atlases Maps

399

Wind power: executive summary on research on network wind power over the Pacific Northwest. Progress report, October 1979-September 1980  

SciTech Connect

This research in FY80 is composed of six primary tasks. These tasks include data collection and analysis, wind flow studies around an operational wind turbine generator (WTG), kite anemometer calibration, wind flow analysis and prediction, the Klickitat County small wind energy conversion system (SWECS) program, and network wind power analysis. The data collection and analysis task consists of four sections, three of which deal with wind flow site surveys and the fourth with collecting and analyzing wind data from existing data stations.

Baker, R.W.; Hewson, E.W.

1980-10-01T23:59:59.000Z

400

Ex Post Analysis of Economic Impacts from Wind Power Development in U.S. Counties  

E-Print Network (OSTI)

use requirements of modern wind power plants in the Unitedrural areas, where wind power plants are often constructedimpacts of actual wind power plants (e.g. ,Pedden, 2006;

Brown, Jason P.

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind power forecasting" 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

Ex post analysis of economic impacts from wind power development in U.S. counties  

E-Print Network (OSTI)

use requirements of modern wind power plants in the Unitedrural areas, where wind power plants are often constructedimpacts of actual wind power plants (e.g. ,Pedden, 2006;

Brown, Jason P

2014-01-01T23:59:59.000Z

402

Ex post analysis of economic impacts from wind power development in U.S. counties  

E-Print Network (OSTI)

Figure 1. Location of Wind Power Development in the UnitedFigure 4: Total Installed Wind Power Capacity (MW): 2000 -development impacts of wind power installations. References

Brown, Jason P

2014-01-01T23:59:59.000Z

403

Analysis of Wind Power and Load Data at Multiple Time Scales  

E-Print Network (OSTI)

Wan, Yih-Huei. 2004. Wind Power Plant Behaviors: Analyses ofthe output of wind power plants. In a typical studyfluctuations across wind power plants located in the same

Coughlin, Katie

2011-01-01T23:59:59.000Z

404

Islanded Grid Wind Power Conference | Department of Energy  

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

Islanded Grid Wind Power Conference Islanded Grid Wind Power Conference March 4, 2015 8:00AM AKST to March 6, 2015 5:00PM AKST Alaska Pacific University 4101 University Drive...

405

Synchrophasor Applications for Wind Power Generation  

SciTech Connect

The U.S. power industry is undertaking several initiatives that will improve the operations of the electric power grid. One of those is the implementation of wide-area measurements using phasor measurement units to dynamically monitor the operations and status of the network and provide advanced situational awareness and stability assessment. The overviews of synchrophasors and stability analyses in this report are intended to present the potential future applications of synchrophasors for power system operations under high penetrations of wind and other renewable energy sources.

Muljadi, E.; Zhang, Y. C.; Allen, A.; Singh, M.; Gevorgian, V.; Wan, Y. H.

2014-02-01T23:59:59.000Z

406

Wind Power Generations Impact on Peak Time Demand and on Future Power Mix  

Science Journals Connector (OSTI)

Although wind power is regarded as one of the ways to actively respond to climate change, the stability of the whole power system could be a serious problem in the future due to wind powers uncertainties. These ...

Jinho Lee; Suduk Kim

2010-01-01T23:59:59.000Z

407

NREL Small Wind Turbine Test Project: Mariah Power's Windspire Wind Turbine Test Chronology  

SciTech Connect

This report presents a chronology of tests conducted at NREL's National Wind Technology Center on Mariah Power's Windspire 1.2-kW wind turbine and a letter of response from Mariah Power.

Huskey, A.; Forsyth, T.

2009-06-01T23:59:59.000Z

408

RELIABILITY OF WIND POWER FROM DISPERSED SITES: A PRELIMINARY ASSESSMENT  

E-Print Network (OSTI)

POWER FREQUENCY TO LOSS-OF-LOAD PROBABIL ITY The Basic Steps Optimization of Various Kinds WIND DATA

Kahn, E.

2011-01-01T23:59:59.000Z

409

Application of Improved Grey Model in Long-term Load Forecasting of Power Engineering  

Science Journals Connector (OSTI)

Grey model is usually been used for long-term load forecasting in power engineering, but it has significant limitations. If the moving average method and Markov model are connected with grey model, the accuracy of this improved grey model used for long-term load forecasting in power engineering can be effectively increased. In this paper, ordinary grey model and improved grey model are all chosen and used for long-term power load forecasting in power engineering, and the power load data of Qingdao in the past decade is selected for the analysis. The result of the analysis shows that the accuracy of improved grey model is significant higher than ordinary model, so the improved grey model can be used for long-term load forecasting in power engineering.

Junjie Kang; Huijuan Zhao

2012-01-01T23:59:59.000Z

410

Research on Control System of High Power DFIG Wind Power System  

Science Journals Connector (OSTI)

Compared with constant speed constant frequency wind turbine, variable speed constant frequency wind turbine has many advantages: higher efficiency of wind energy converting to electric power, absorbing gust energy, smoothly cutting into the network ... Keywords: wind power, DFIG, high power, LQR, variable speed constant frequency, constant power control

Li Jianlin; Xu Honghua

2008-12-01T23:59:59.000Z

411

Water Power for a Clean Energy Future (Fact Sheet), Wind and Water Power Program (WWPP)  

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

This fact sheet provides an overview of the Department of Energy's Wind and Water Power Program's water power research activities.

412

Control of Wind Turbines for Power Regulation and  

E-Print Network (OSTI)

Control of Wind Turbines for Power Regulation and Load Reduction Juan Jose Garcia Quirante Kongens regulation and load reduction and their ensemble in a variable-speed wind turbine. The power regulation aspects of mathematical modelling of wind turbines, and especially the control methods suited for power

413

Ris-R-1527(EN) Wind Power Prediction using Ensembles  

E-Print Network (OSTI)

Risø-R-1527(EN) Wind Power Prediction using Ensembles Gregor Giebel (ed.), Jake Badger, Lars, Lars Voulund Title: Wind Power Prediction using Ensembles Risø-R-1527(EN) September 2005 ISSN 0106 from the operational use - Elsam 35 5.2.1 Control room functions 35 5.2.2 Use of wind power predictions

414

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

E-Print Network (OSTI)

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

415

Ris-R-1257(EN) Isolated Systems with Wind Power  

E-Print Network (OSTI)

Risø-R-1257(EN) Isolated Systems with Wind Power An Implementation Guideline Niels-Erik Clausen energy in isolated communities. So far most studies of isolated systems with wind power have been case studies of isolated systems with wind power have mostly been case- oriented. Thus it has been difficult

416

The Potential Wind Power Resource in Australia: A New Perspective  

E-Print Network (OSTI)

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

417

Characterization of wind power resource in the United States*  

E-Print Network (OSTI)

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

418

Stochastic Analysis of Wind Turbine Power Curves Edgar Anahua  

E-Print Network (OSTI)

of the wind turbine to its desired power production; and ii) the stochastic force (noise), whichStochastic Analysis of Wind Turbine Power Curves Edgar Anahua Oldenburg 2007 Zur Homepage der Dissertation #12;#12;Stochastic Analysis of Wind Turbine Power Curves Edgar Anahua Von der Fakult¨at f

Peinke, Joachim

419

Stakeholder Engagement and Outreach: Wind Power on State Lands  

Wind Powering America (EERE)

Wind Power on State Lands Wind Power on State Lands Wind development can be an attractive revenue option for states that have viable wind resources on their trust lands. Wind can provide much higher revenue per acre than many other sources of typical revenue. An added benefit is that harvesting the wind does not deplete any finite resources. Several state land offices are already pursuing wind development on state trust lands. The first such wind project, in west Texas, is a joint project by the Texas General Land Office and the Lower Colorado River Authority, a public utility in central Texas. Wind Powering America Assistance to State Land Offices Analysis of State Land Potential NREL can assist state land offices in analyzing their trust lands for wind development potential. By overlaying wind resource maps with land use,

420

Austin Energy Wins DOE Wind Power Award | Department of Energy  

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

Austin Energy Wins DOE Wind Power Award Austin Energy Wins DOE Wind Power Award Austin Energy Wins DOE Wind Power Award October 25, 2005 - 12:30pm Addthis WASHINGTON, DC-The U.S. Department of Energy (DOE) today announced that Austin Energy, the city-owned utility of Austin, Texas, is receiving the 2005 Wind Power Pioneer Award. The utility was cited for its leadership, demonstrated success and innovation in its wind power program. The award, sponsored by DOE's Wind Powering America program, was presented today at the American Public Power Association's 2005 Customer Connections Conference in Kansas City, Mo. Austin Energy was one of eleven public power utilities nominated this year. "We congratulate Austin Energy for its innovation and commitment to wind power and other renewable resources," said Douglas L. Faulkner, Acting

Note: This page contains sample records for the topic "wind power forecasting" 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

Austin Energy Wins DOE Wind Power Award | Department of Energy  

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

Austin Energy Wins DOE Wind Power Award Austin Energy Wins DOE Wind Power Award Austin Energy Wins DOE Wind Power Award October 25, 2005 - 12:30pm Addthis WASHINGTON, DC-The U.S. Department of Energy (DOE) today announced that Austin Energy, the city-owned utility of Austin, Texas, is receiving the 2005 Wind Power Pioneer Award. The utility was cited for its leadership, demonstrated success and innovation in its wind power program. The award, sponsored by DOE's Wind Powering America program, was presented today at the American Public Power Association's 2005 Customer Connections Conference in Kansas City, Mo. Austin Energy was one of eleven public power utilities nominated this year. "We congratulate Austin Energy for its innovation and commitment to wind power and other renewable resources," said Douglas L. Faulkner, Acting

422

China Longyuan Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

China Longyuan Wind Power Co Ltd China Longyuan Wind Power Co Ltd Place China Sector Wind energy Product Wind farm development subsidiary of Longyuan Electricity Power Group and Xiongya Investment. References China Longyuan Wind Power Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. China Longyuan Wind Power Co Ltd is a company located in China . References ↑ "China Longyuan Wind Power Co Ltd" Retrieved from "http://en.openei.org/w/index.php?title=China_Longyuan_Wind_Power_Co_Ltd&oldid=343509" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load)

423

Power System Modeling of 20percent Wind-Generated Electricity by 2030  

E-Print Network (OSTI)

power system modeling, wind energy I. I NTRODUCTION Generating electricity from wind technology has several advantages

Hand, Maureen

2008-01-01T23:59:59.000Z

424

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

Science Journals Connector (OSTI)

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

Dalibor Petkovi?; Shahaboddin Shamshirband

2014-05-01T23:59:59.000Z

425

Impact of Improved Solar Forecasts on Bulk Power System Operations in ISO-NE (Presentation)  

SciTech Connect

The diurnal nature of solar power is made uncertain by variable cloud cover and the influence of atmospheric conditions on irradiance scattering processes. Its forecasting has become increasingly important to the unit commitment and dispatch process for efficient scheduling of generators in power system operations. This presentation is an overview of a study that examines the value of improved solar forecasts on Bulk Power System Operations.

Brancucci Martinez-Anido, C.; Florita, A.; Hodge, B.M.

2014-11-01T23:59:59.000Z

426

Sandia National Laboratories: wind turbines produce rated power  

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

turbines produce rated power Increasing the Scaled Wind Farm Technology Facility's Power Production On April 7, 2014, in Energy, Facilities, News, News & Events, Partnership,...

427

Development of learning material to wind power courses.  

E-Print Network (OSTI)

??Wind power plants are more and more commonly used as power production units, which lead to an increased demand of educated personnel within the area. (more)

Bruhn, Kristin; Lorensson, Sofia

2009-01-01T23:59:59.000Z

428

Conventional Hydropower Technologies, Wind And Water Power Program...  

Office of Environmental Management (EM)

Power for a Clean Energy Future (Fact Sheet), Wind and Water Power Program (WWPP) Hydropower Projects Environmental Impacts of Increased Hydroelectric Development at Existing Dams...

429

An adaptive load dispatching and forecasting strategy for a virtual power plant including renewable energy conversion units  

Science Journals Connector (OSTI)

Abstract The increasing awareness on the risky state of conventional energy sources in terms of future energy supply security and health of environment has promoted the research activities on alternative energy systems. However, due to the fact that the power production of main alternative sources such as wind and solar is directly related with meteorological conditions, these sources should be combined with dispatchable energy sources in a hybrid combination in order to ensure security of demand supply. In this study, the evaluation of such a hybrid system consisting of wind, solar, hydrogen and thermal power systems in the concept of virtual power plant strategy is realized. An economic operation-based load dispatching strategy that can interactively adapt to the real measured wind and solar power production values is proposed. The adaptation of the load dispatching algorithm is provided by the update mechanism employed in the meteorological condition forecasting algorithms provided by the combination of Empirical Mode Decomposition, Cascade-Forward Neural Network and Linear Model through a fusion strategy. Thus, the effects of the stochastic nature of solar and wind energy systems are better overcome in order to participate in the electricity market with higher benefits.

A. Tascikaraoglu; O. Erdinc; M. Uzunoglu; A. Karakas

2014-01-01T23:59:59.000Z

430

Wind Power on Native American Lands: Process and Progress (Poster)  

SciTech Connect

The United States is home to more than 700 American Indian tribes and Native Alaska villages and corporations located on 96 million acres. Many of these tribes and villages have excellent wind resources that could be commercially developed to meet their electricity needs or for electricity export. The Wind Powering America program engages Native Americans in wind energy development. This poster describes the process and progress of Wind Powering America's involvement with Native American wind energy projects.

Jimenez, A.; Flowers, L.; Gough, R.; Taylor, R.

2005-05-01T23:59:59.000Z

431

Simulation of Short-term Wind Speed Forecast Errors using a Multi-variate ARMA(1,1) Time-series Model.  

E-Print Network (OSTI)

?? The short-term (1 to 48 hours) predictability of wind power production from wind power plants in a power system is critical to the value (more)

Boone, Andrew

2005-01-01T23:59:59.000Z

432

China Wind Systems formerly Green Power Malex | Open Energy Information  

Open Energy Info (EERE)

Green Power Malex Green Power Malex Jump to: navigation, search Name China Wind Systems (formerly Green Power/Malex) Place Wuxi, Jiangsu Province, China Sector Wind energy Product Manufacturer of precision-forged rolled rings and machinery with applications for the wind power industry. References China Wind Systems (formerly Green Power/Malex)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. China Wind Systems (formerly Green Power/Malex) is a company located in Wuxi, Jiangsu Province, China . References ↑ "China Wind Systems (formerly Green Power/Malex)" Retrieved from "http://en.openei.org/w/index.php?title=China_Wind_Systems_formerly_Green_Power_Malex&oldid=343554

433

A novel dual stator-winding induction generator system applied in wind power generation  

Science Journals Connector (OSTI)

This paper presents a novel usage of 6/3-phase dual stator-winding induction generator (DWIG) with a static excitation power controller (SEC) as a wind power generator. This generator is composed of a standard squirrel-cage rotor and two sets of winding housed in the stator slots. One is referred to as the 6-phase power winding, and the other is defined as the 3-phase control winding. On the basis of the instantaneous power theory, the control mechanism of DWIG wind power system is analysed, and the control winding flux orientation control strategy is obtained consequently. The simulation and experimental results from a prototype of 18 kW 6/3-phase DWIG wind power system are presented to verify the correctness and feasibility of control strategy, and a desirable performance is implemented.

Bu Feifei; Huang Wenxin; Hu Yuwen; Shi Kai

2010-01-01T23:59:59.000Z

434

Global ocean wind power sensitivity to surface layer stability  

E-Print Network (OSTI)

observa- tions, vertical wind speed profile estimation givenspeed differences compared to over the Gulf Stream, 80 m wind power is relatively smaller because of reduced verticalvertical momentum transfer over the Gulf Stream and North Atlantic Current results in sub-logarithmic wind profiles, reduced 80 10 m wind speed

Capps, Scott B; Zender, Charles S

2009-01-01T23:59:59.000Z

435

Heilongjiang Fulong Wind Power Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Power Co Ltd Power Co Ltd Jump to: navigation, search Name Heilongjiang Fulong Wind Power Co., Ltd. Place Fujin, Heilongjiang Province, China Zip 156100 Sector Wind energy Product Fujin-based developer of wind farms. References Heilongjiang Fulong Wind Power Co., Ltd.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Heilongjiang Fulong Wind Power Co., Ltd. is a company located in Fujin, Heilongjiang Province, China . References ↑ "Heilongjiang Fulong Wind Power Co., Ltd." Retrieved from "http://en.openei.org/w/index.php?title=Heilongjiang_Fulong_Wind_Power_Co_Ltd&oldid=346434" Categories: Clean Energy Organizations Companies Organizations Stubs What links here

436

Making european-style community wind power development work in the United States  

E-Print Network (OSTI)

and sells power to Xcel under the small wind tariff. Thecommunity wind projects are currently selling power to the

Bolinger, Mark A.

2004-01-01T23:59:59.000Z

437

Wind and Wave Extremes over the World Oceans From Very Large Forecast Ensembles  

E-Print Network (OSTI)

Global return value estimates of significant wave height and 10-m neutral wind speed are estimated from very large aggregations of archived ECMWF ensemble forecasts at +240-h lead time from the period 2003-2012. The upper percentiles are found to match ENVISAT wind speed better than ERA-Interim (ERA-I), which tends to be biased low. The return estimates are significantly higher for both wind speed and wave height in the extratropics and the subtropics than what is found from ERA-I, but lower than what is reported by Caires and Sterl (2005) and Vinoth and Young (2011). The highest discrepancies between ERA-I and ENS240 are found in the hurricane-prone areas, suggesting that the ensemble comes closer than ERA-I in capturing the intensity of tropical cyclones. The width of the confidence intervals are typically reduced by 70% due to the size of the data sets. Finally, non-parametric estimates of return values were computed from the tail of the distribution. These direct return estimates compare very well with Ge...

Breivik, yvind; Abdalla, Saleh; Bidlot, Jean-Raymond

2013-01-01T23:59:59.000Z

438

Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP)  

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

This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

439

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast  

E-Print Network (OSTI)

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast Energy Demand ........................................................................ 28 Possible Future Trends for Plug-in Hybrid Electric Vehicles .............................................................. 23 Electricity Demand Growth in the West

440

A Long Term Load Forecasting of an Indian Grid for Power System Planning  

Science Journals Connector (OSTI)

A time-series load modelling and load forecasting using neuro-fuzzy techniques were presented...7]. In this method, energy data of several past years is used to ... . ANN structure of ANFIS can capture the power ...

R. Behera; B. B. Pati; B. P. Panigrahi

2014-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind power forecasting" 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

A New Neuro-Based Method for Short Term Load Forecasting of Iran National Power System  

Science Journals Connector (OSTI)

This paper presents a new neuro-based method for short term load forecasting of Iran national power system (INPS). A MultiLayer Perceptron ( ... were selected through a peer investigation on historical data relea...

R. Barzamini; M. B. Menhaj; Sh. Kamalvand

2005-01-01T23:59:59.000Z

442

New England Wind Forum: A Wind Powering America Project - Newsletter #6 - September 2010, (NEWF)  

SciTech Connect

Wind Powering America program launched the New England Wind Forum (NEWF) in 2005 to provide a single comprehensive source of up-to-date, Web-based information on a broad array of wind energy issues pertaining to New England. The NEWF newsletter provides New England stakeholders with updates on wind energy development in the region.

Grace, R.; Gifford, J.; Leeds, T.; Bauer, S.

2010-09-01T23:59:59.000Z

443

Wind Powering America Fact Sheet Series 1 Wind energy is more expensive than conventional energy.  

E-Print Network (OSTI)

Wind Powering America Fact Sheet Series 1 Wind energy is more expensive than conventional energy, the commission determined that wind energy provided the lowest cost of any new generation resource submitted a reduction in payments by electricity customers of $305 million in one year.2 2 Wind energy requires

Massachusetts at Amherst, University of

444

High Altitude Wind Power Systems: A Survey on Flexible Power Kites Mariam Ahmed*  

E-Print Network (OSTI)

High Altitude Wind Power Systems: A Survey on Flexible Power Kites Mariam Ahmed* Grenoble wind power using a kite-based system, and the proposed structures *Corresponding author Mariam.AHMED@g2

Boyer, Edmond

445

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

E-Print Network (OSTI)

to increase the wind energy penetration. The main options are to combine wind power with a pumped hydro power been developed to assess that. The economic investigations have shown that for small systems where only small amounts of wind energy would otherwise have been dumped add-on PQ- controllers with battery

446

An Improved Method for Estimating the Wind Power Density Distribution Function  

Science Journals Connector (OSTI)

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

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

2010-07-01T23:59:59.000Z

447

Wind Power Reliability: Breaking Down a Barrier | Department of Energy  

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

Wind Power Reliability: Breaking Down a Barrier Wind Power Reliability: Breaking Down a Barrier Wind Power Reliability: Breaking Down a Barrier June 25, 2010 - 12:16pm Addthis EnerNex Corporation is developing documentation and validating generic wind turbine and plant models that test reliability. | File photo EnerNex Corporation is developing documentation and validating generic wind turbine and plant models that test reliability. | File photo Stephen Graff Former Writer & editor for Energy Empowers, EERE The steady increase of wind power on the grid presents new challenges for power system operators charged with making sure the grid stays up and running. "We need to ensure that we are going down a path that will lead to better reliability [with wind power]," said Bob Zavadil, an executive vice

448

Estimation of capacity credit for wind power in Libya  

Science Journals Connector (OSTI)

This paper presents the results of a study that evaluated the wind potential at the central region of the Libyan coast and estimated the capacity credit of wind power in the national network. Several sites were investigated to choose the most suitable sites for wind farm establishment. Different sizes of Wind Energy Converter Systems (WECSs) were selected to estimate the wind potential. The sizes were selected to satisfy present and future market development as well as to satisfy technical, economic, and environmental aspects. Wind data from three meteorological stations in the proposed region were used in assessing the wind potential. The wind potential was estimated according to the characteristics of the sites and power curves of the WECSs, and considering certain assumptions. The results showed that the capacity credit varied from about 20% to 50%, depending on penetration levels of wind power, for the assumptions made in this study.

Wedad B. El-Osta; Mohamed Ali Ekhlat; Amal S. Yagoub; Yousef Khalifa; E. Borass

2005-01-01T23:59:59.000Z

449

New England Wind Forum: A Wind Powering America Project, Newsletter #5 -- January 2010, Wind and Hydropower Technologies Program (WHTP)  

SciTech Connect

Wind Powering America program launched the New England Wind Forum (NEWF) in 2005 to provide a single comprehensive source of up-to-date, Web-based information on a broad array of wind energy issues pertaining to New England. The NEWF newsletter provides New England stakeholders with updates on wind energy development in the region. In addition to regional updates, Issue #5 offers an interview with Angus King, former governor of Maine and co-founder of Independence Wind.

Grace, R. C.; Gifford, J.

2010-01-01T23:59:59.000Z

450

Xi an Nordex Wind Turbine Co Ltd aka Xi an Weide Wind Power Equipment Co  

Open Energy Info (EERE)

Xi an Nordex Wind Turbine Co Ltd aka Xi an Weide Wind Power Equipment Co Xi an Nordex Wind Turbine Co Ltd aka Xi an Weide Wind Power Equipment Co Ltd Jump to: navigation, search Name Xi'an Nordex Wind Turbine Co Ltd (aka Xi'an Weide Wind Power Equipment Co Ltd) Place Xi An, Shaanxi Province, China Zip 710021 Sector Wind energy Product Subsidiary of Xiâ€(tm)an Aero-Engine that manufactures its 600kW wind turbines in Xi An, China. References Xi'an Nordex Wind Turbine Co Ltd (aka Xi'an Weide Wind Power Equipment Co Ltd)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Xi'an Nordex Wind Turbine Co Ltd (aka Xi'an Weide Wind Power Equipment Co Ltd) is a company located in Xi An, Shaanxi Province, China . References ↑ "[ Xi'an Nordex Wind Turbine Co Ltd (aka Xi'an Weide Wind

451

Stakeholder Engagement and Outreach: Wind Power for Native Americans  

Wind Powering America (EERE)

Wind Power for Native Americans Wind Power for Native Americans Wind Power for Native Americans poster with five happy Native American children and a wind turbine. Click on the image to view a larger version. Wind Power for Native Americans poster There are more than 700 American Indian tribes and Native Alaskan villages and corporations located on 96 million acres in the United States. Many of these tribes and villages have excellent wind resources that could be commercially developed to meet their electricity needs or for electricity export. Changing national utility policy, a keen interest in economic development, environmental concerns, and availability of low-cost financing have kindled a strong interest in tribal wind development opportunities. However, several key issues need to be addressed, including lack of wind resource

452

Wind and solar power electric generation to see strong growth...  

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

Short-Term Energy Outlook says the increase in wind power will be due to the new wind turbines coming online thanks to the federal production tax credit that was recently...

453

The Potential Wind Power Resource in Australia: A New Perspective  

E-Print Network (OSTI)

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

Hallgren, Willow

454

The Potential Wind Power Resource in Australia: A New Perspective  

E-Print Network (OSTI)

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

Hallgren, Willow

455

Category:Wind Power in China | Open Energy Information  

Open Energy Info (EERE)

in China Pages in category "Wind Power in China" The following 2 pages are in this category, out of 2 total. G Guangdong Baolihua New Energy Corporation S Sinovel Wind Group Co....

456

Pitfalls of modeling wind power using Markov chains  

E-Print Network (OSTI)

An increased penetration of wind turbines have given rise to a need for wind speed/power models that generate realistic synthetic data. Such data, for example, might be used in simulations to size energy storage or spinning ...

Kirtley, James L., Jr.

457

Evaluation of WRF-Predicted Near-Hub-Height Winds and Ramp Events over a Pacific Northwest Site with Complex Terrain  

Science Journals Connector (OSTI)

One challenge with wind-power forecasts is the accurate prediction of rapid changes in wind speed (ramps). To evaluate the Weather Research and Forecasting (WRF) model's ability to predict such events, model simulations, conducted over an area of ...

Qing Yang; Larry K. Berg; Mikhail Pekour; Jerome D. Fast; Rob K. Newsom; Mark Stoelinga; Catherine Finley

2013-08-01T23:59:59.000Z

458

Sound?Power Production in Wind Instruments  

Science Journals Connector (OSTI)

This paper presents data for output sound powerP O of wind instruments relation to input power P I supplied by the player. P I was calculated as pV? where p equals mouth pressure and V? air flow rate through the instrument. P O was calculated from sound?pressure level and measurements of reverberation time in a live room of known volume. A part of the data was obtained in a room of unknown characteristics; from 15 comparable measurements on 8 different instruments in both the live and the unknown room data were obtained that allowed calculation of P O also from other experiments in the unknown room. Measurements were made on single notes played both pp and ff on each instrument; one low and one high note on the scale of each instrument were chosen. The ratio P O/P I representing the mechanical efficiency of wind instruments as sources of sound power varies from less than 0.001% to about 2%. It appears to increase with increasing P I and in some instruments with frequency. The consistent results obtained for 3 different flutes played by one performer suggest that the variability noted in the other data at least partially reflects individual differences in mechanical efficiency.

Arend Bouhuys

1965-01-01T23:59:59.000Z

459

Off-shore wind power potential evaluation and economy analysis of entire Japan using GIS technology  

Science Journals Connector (OSTI)

Off-shore wind energy has been drawing interest recently. This research is focusing on the potential analysis of off-shore wind energy surrounding entire Japan coast using GIS technology. Base on the economy and environment assessment, this research is evaluating the current situation and forecasting on future of wind energy technology in Japan. In order to reduce the green-house gas emission, renewable energy (such as wind energy, solar energy, fuel cell) will gradually substitute can be installed the primary energy resource (such as coal, oil, scale gas). Based on GIS technique, wind power turbines in the surrounding area of Japanese coast-line. In the study, 2,000 kW rated wind turbines are considered for further installation. As the result of this study, we have determined that 108,067 in 330 places number of off-shore with annual generation of 180.0 TWh are expected. This is equal to 20% of annual total generated power of Japan in 2010. Wind speed 6 m/s or more of the coastline, the average cost of electricity is about generation cost is within 10 to 17 Japanese Yen/kWh and construction cost is within 139,445 Japanese Yen/kW to 240,366 Japanese Yen/kW.

Asifujiang Abudureyimu; Yoshiki Hayashi; Zulati Litifu; Ken Nagasaka

2012-01-01T23:59:59.000Z

460

Cooperative Extension Service & Wind Powering America Collaborate to Provide Wind Energy Information to Rural Stakeholders (Poster)  

SciTech Connect

Cooperative Extension's presence blankets much of the United States and has been a trusted information source to rural Americans. By working together, Cooperative Extension, Wind Powering America, and the wind industry can better educate the public and rural stakeholders about wind energy and maximize the benefits of wind energy to local communities. This poster provides an overview of Cooperative Extension, wind energy issues addressed by the organization, and related activities.

Jimenez, A.; Flower, L.; Hamlen, S.

2009-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "wind power forecasting" 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

Powered by Renewables formerly Nevada Wind | Open Energy Information  

Open Energy Info (EERE)

formerly Nevada Wind formerly Nevada Wind Jump to: navigation, search Name Powered by Renewables (formerly Nevada Wind) Place Las Vegas, Nevada Zip 89102 Sector Renewable Energy Product PBR develops, manages and sells utility-scale renewable energy projects. References Powered by Renewables (formerly Nevada Wind)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Powered by Renewables (formerly Nevada Wind) is a company located in Las Vegas, Nevada . References ↑ "Powered by Renewables (formerly Nevada Wind)" Retrieved from "http://en.openei.org/w/index.php?title=Powered_by_Renewables_formerly_Nevada_Wind&oldid=349890" Categories: Clean Energy Organizations Companies

462

Synoptic and local influences on boundary layer processes, with an application to California wind power  

E-Print Network (OSTI)

maps showing locations of wind power conversion facilities,of US winds and wind power at 80 m derived fromEvaluation of global wind power. Journal of Geo- physical

Mansbach, David K.

2010-01-01T23:59:59.000Z

463

The Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis (Fact Sheet). Wind And Water Power Program (WWPP).  

E-Print Network (OSTI)

development potential from wind power installations has beendevelopment potential of wind power projects, however,is whether new investment in wind power projects stimulates

Brown, Jason P.

2014-01-01T23:59:59.000Z

464

Operating the Irish Power System with Increased Levels of Wind Power  

E-Print Network (OSTI)

Operating the Irish Power System with Increased Levels of Wind Power Aidan Tuohy, Student Member-- This paper summarises some of the main impacts of large amounts of wind power installed in the island of Ireland. Using results from various studies performed on this system, it is shown that wind power

465

Application Filing Requirements for Wind-Powered Electric Generation  

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

Application Filing Requirements for Wind-Powered Electric Application Filing Requirements for Wind-Powered Electric Generation Facilities (Ohio) Application Filing Requirements for Wind-Powered Electric Generation Facilities (Ohio) < Back Eligibility Commercial Developer Utility Investor-Owned Utility Municipal/Public Utility Rural Electric Cooperative Savings Category Wind Buying & Making Electricity Program Info State Ohio Program Type Siting and Permitting Provider Ohio Power Siting Board Chapter 4906-17 of the Ohio Administrative Code states the Application Filing Requirements for wind-powered electric generating facilities in Ohio. The information requested in this rule shall be used to assess the environmental effects of the proposed facility. An applicant for a certificate to site a wind-powered electric generation

466

Emerald PUD Wind Power Solicitation, Deadline July 14, 2003  

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

Emerald PUD Wind Power Solicitation Emerald PUD Wind Power Solicitation June 20, 2003 Background: Emerald is interested in purchasing wind power through a Purchase Power Agreement or through ownership. While our aim is to gain the cost advantage of the PTC or REPI, we are concerned that REPI with its current configuration and funding level may be risky and may not add equivalent value over the life of the project. We are interested in proposals that can begin to deliver wind power now or within the next couple of years. Our thinking is that our wind power would come from part of larger wind project, thus gaining the economies of scale. If a PPA is proposed, we are interested in an ownership option at the end of the contract term, and ask that PPA proposers discuss this option in as much detail

467

Power Electronic Control for Wind Generation Systems  

Science Journals Connector (OSTI)

...? mathematical models for wind turbines such as wind turbine (WT) with doubly fed induction generator (DFIG) and WT with direct-drive permanent magnet...

Xiao-Ping Zhang; Christian Rehtanz

2012-01-01T23:59:59.000Z

468

Wild Horse Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Wind Power Project Wind Power Project Jump to: navigation, search Name Wild Horse Wind Power Project Facility Wild Horse Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Puget Sound Energy Developer Horizon Wind Energy Energy Purchaser Puget Sound Energy Location Kittitas County Coordinates 47.000782°, -120.190609° 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":47.000782,"lon":-120.190609,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

469

Arkansas Preparing for Wind Power | Department of Energy  

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

Arkansas Preparing for Wind Power Arkansas Preparing for Wind Power Arkansas Preparing for Wind Power April 15, 2010 - 5:25pm Addthis Joshua DeLung Renowned science fiction author Isaac Asimov once said, "No sensible decision can be made any longer without taking into account not only the world as it is, but the world as it will be." In Arkansas, state energy leaders are taking that advice and gathering the best possible data by which future developers can make decisions about the potential of wind energy in the state. While there are zero megawatts of wind power currently installed in Arkansas, gathering such data is crucial in showcasing the state's abilities to harvest wind. "Because no publicly available wind data are available at commercial hub heights in Arkansas ... you can't really have an informed debate

470

Power load forecasting using data mining and knowledge discovery technology  

Science Journals Connector (OSTI)

Considering the importance of the peak load to the dispatching and management of the electric system, the error of peak load is proposed in this paper as criteria to evaluate the effect of the forecasting model. This paper proposes a systemic framework that attempts to use data mining and knowledge discovery (DMKD) to pretreat the data. And a new model is proposed which combines artificial neural networks with data mining and knowledge discovery for electric load forecasting. With DMKD technology, the system not only could mine the historical daily loading which had the same meteorological category as the forecasting day to compose data sequence with highly similar meteorological features, but also could eliminate the redundant influential factors. Then an artificial neural network is constructed to predict according to its characteristics. Using this new model, it could eliminate the redundant information, accelerate the training speed of neural network and improve the stability of the convergence. Compared with single BP neural network, this new method can achieve greater forecasting accuracy.

Yongli Wang; Dongxiao Niu; Ling Ji

2011-01-01T23:59:59.000Z

471

Estimated changes in wind speed and wind power density over the western High Plains, 19712000  

Science Journals Connector (OSTI)

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

J. Scott Greene; Matthew Chatelain; Mark Morrissey

2012-08-01T23:59:59.000Z

472

Simulation of a generator for a wind-power unit  

Science Journals Connector (OSTI)

Analysis of excitation systems of generators for wind-power units is carried out, a software package for generator simulation is presented, and the sequence of the...

I. M. Kirpichnikova; A. S. Martyanov; E. V. Solomin

2013-10-01T23:59:59.000Z

473

Wind power on BPA system sets another new record  

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

another new record The renewable resource passes 4,000 megawatts Portland, Ore. - Wind turbines in the Bonneville Power Administration's transmission grid generated over 4,000...

474

Utilizing Load Response for Wind and Solar Integration and Power...  

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

Laboratory 1617 Cole Blvd., Golden, CO 80401 michael.milligan@nrel.gov Topics: Demand Response Power System Operations and Wind Energy Abstract Responsive load is still the...

475

Domestic Demand Response to Increase the Value of Wind Power.  

E-Print Network (OSTI)

??This thesis describes a new method to evaluate the value of wind power combined with domestic demand response. The thesis gives a brief overview of (more)

Hamidi, Vandad

2009-01-01T23:59:59.000Z

476

Modulated power filter compensator for a small renewable wind energy.  

E-Print Network (OSTI)

??This paper has three sections, the first one is related to wind energy, the second is related to power filters used to mitigate the harmonics, (more)

Almadhi, Bassil

2015-01-01T23:59:59.000Z

477

Optimization Online - The Worst-case Wind Power Scenario for ...  

E-Print Network (OSTI)

Sep 16, 2014 ... The Worst-case Wind Power Scenario for Adaptive Robust Unit Commitment Problems. German Morales-Espaa(gmorales ***at*** kth.se).

German Morales-Espaa

2014-09-16T23:59:59.000Z

478

Optimization Online - Robustified Reserve Modelling for Wind Power ...  

E-Print Network (OSTI)

Jul 8, 2014 ... Robustified Reserve Modelling for Wind Power Integration in Ramp-Based Unit Commitment. German Morales-Espaa(gmorales ***at***...

German Morales-Espaa

2014-07-08T23:59:59.000Z

479

Impact Study of Wind Power on Tourism on Gotland.  

E-Print Network (OSTI)

?? This study investigates the impact of wind power on tourism on Gotland. The main objective is toidentify how tourists on Gotland during their holidaying (more)

Braunova, Vendula

2013-01-01T23:59:59.000Z

480

Lillgrund Wind Farm Modelling and Reactive Power Control.  

E-Print Network (OSTI)

?? The installation of wind power plant has significantly increased since several years due to the recent necessity of creating renewable and clean energy sources. (more)

Boulanger, Isabelle

2009-01-01T23:59:59.000Z

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


481

Implementation of Wind Energy Systems to the Existing Power Grid.  

E-Print Network (OSTI)

??Steady state and transient analysis of a Doubly Fed Induction Generator(DFIG) belonging to a Wind Power Generator is performed. Firstly, the steady state model of (more)

Gogineni, Jalaja

2012-01-01T23:59:59.000Z

482

The Political Economy of Wind Power in China  

E-Print Network (OSTI)

pumped storage reservoirs and electric vehicleswill undoubtedly play an important role in integrating wind power into Chinas electricity system

Swanson, Ryan Landon

2011-01-01T23:59:59.000Z

483

Wind Powering America's Wind for Schools Team Honored with Wirth...  

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

NREL manages the program, funds the wind application centers through subcontracts, and trains teachers and community facilitators that work with the K-12 schools to build community...

484

WIND POWER PROGRAM WIND PROGRAM ACCOMPLISHMENTS U.S. Department...  

Office of Environmental Management (EM)

Many of these innovations have been incorporated by industry into modern commercial wind turbines. * Advanced airfoils led to new turbine blade designs that produced 30% more...

485

Life cycle cost analysis of wind power considering stochastic uncertainties  

Science Journals Connector (OSTI)

Abstract This paper presents a long-term cost analysis of wind power and compares its competitiveness to non-renewable generating technologies. The analysis considers several important attributes related to wind intermittency that are sometimes ignored in traditional generation planning or LCOE (levelized cost of energy) studies, including the need for more nameplate capacity due to intermittency, hourly fluctuations in wind outputs and cost for reserves. The competitiveness of wind power is assessed by evaluating four scenarios: 1) adding natural gas generating capacity to the power grid; 2) adding coal generating capacity to the power grid; 3) adding wind capacity to the power grid; and, 4) adding wind capacity and energy storage to the power grid where an energy storage device is used to cover wind intermittency. A case study in the state of Michigan is presented to demonstrate the use of the proposed methodology, in which a time horizon from 2010 to 2040 is considered. The results show that wind energy will still be more expensive than natural gas power plants in the next three decades, but will be cheaper than coal capacities if wind intermittency is mitigated. Furthermore, if the costs of carbon emissions and environmental externalities are considered, wind generation will be a competitive option for grid capacity expansion.

Chiao-Ting Li; Huei Peng; Jing Sun

2014-01-01T23:59:59.000Z

486

Wind Powering America: Opportunities from Chile and the Region | Open  

Open Energy Info (EERE)

Wind Powering America: Opportunities from Chile and the Region Wind Powering America: Opportunities from Chile and the Region Jump to: navigation, search Tool Summary Name: Wind Powering America: Opportunities from Chile and the Region Agency/Company /Organization: National Renewable Energy Laboratory, Centro de Energías Renovables (CER) Sector: Energy Focus Area: Wind Topics: Implementation, Policies/deployment programs Resource Type: Webinar References: WPA[1] Logo: Wind Powering America: Opportunities from Chile and the Region This webinar provides an overview of the Department of Energy's Wind Powering America program, key program areas, and success stories that might be of interest to policy makers and stakeholders interested in adapting this program for Chile and other countries in Latin America. Watch Click here to view this webinar

487

Wind: wind power density maps at 50m above ground and 1km resolution...  

Open Energy Info (EERE)

resolution for Central America from NREL (Abstract):HTMLREMOVEDHTMLREMOVED50 m wind power density (Wm2) maps of Central America. (Purpose):HTMLREMOVEDHTMLREMOVEDTo...

488

Wind power dynamic behaviour - Real case study on Linderdssen wind farm.  

E-Print Network (OSTI)

??Rapid wind power development has led to a shift from small generators to large generators and from single distributed units to large centralised clusters of (more)

Wang-Hansen, Mats

2008-01-01T23:59:59.000Z

489

Maximum power tracking control scheme for wind generator systems  

E-Print Network (OSTI)

The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor...

Mena, Hugo Eduardo

2009-05-15T23:59:59.000Z

490

Maximum power tracking control scheme for wind generator systems  

E-Print Network (OSTI)

The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor...

Mena Lopez, Hugo Eduardo

2008-10-10T23:59:59.000Z

491

Impacts of wind power on PJM market development  

Science Journals Connector (OSTI)

Recently, there has been a substantial growth in wind energy in the USA. An increasing number of states are experiencing market design, planning and investment in wind energy with this growth. Currently, wind installations exist in more than half of the states. This paper explores the market factors that have been driven and affected by large-scale wind energy development in the USA, particularly in PJM control area that have achieved in recent years and will have a substantial amount of wind energy investment in the next 10??15 years. In this paper, we also identify the key issues for wind power planning and interconnection.

Zhenyu Fan; Hui Ni

2008-01-01T23:59:59.000Z

492

Ex Post Analysis of Economic Impacts from Wind Power Development in U.S. Counties  

E-Print Network (OSTI)

use requirements of modern wind power plants in the United2002. Economic impacts of wind power in Kittitas County:Renewable energy: Wind powers contribution to electric

Brown, Jason P.

2014-01-01T23:59:59.000Z

493

University of Minnesota Boosts Studies with Wind Power | Department of  

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

Boosts Studies with Wind Power Boosts Studies with Wind Power University of Minnesota Boosts Studies with Wind Power October 27, 2011 - 10:53am Addthis Time-lapse of the University of Minnesota's wind turbine construction, from September 6 - 23, 2011. | Courtesy of the University of Minnesota College of Science and Engineering Eric Escudero Eric Escudero Senior Public Affairs Specialist & Contractor, Golden Field Office What does this project do? The American-made Clipper Liberty wind turbine and a 426-foot tall meteorological tower will allow researchers to work on improving wind turbine efficiency and will help train a new generation of engineers and technicians for careers in the wind industry. President Obama's goal to generate 80 percent of our nation's electricity through clean energy sources by 2035 is ambitious, but

494

Improving sound propagation modeling for wind power projects  

Science Journals Connector (OSTI)

Sound propagation from wind power projects can be modeled in the same manner as other more common outdoor noisesources but are these models suited to wind turbines' uniquely high source heights operating under high wind conditions and various degrees of terrain ruggedness. In "Propagation Modeling Parameters for Wind Turbines" (K. Kaliski and E. Duncan Proceedings of Institute of Noise ControlEngineers NOISECON 2007) the effects of ground attenuation and various adjustments for wind conditions on sound propagationmodeling were discussed. This paper continues the discussion and explores the accuracy of existing sound propagationmodeling methods for wind power projects including ISO 9613 and other standards. Model data for wind power projects and the implications of various terrain and ground coverage will be discussed.

Eddie Duncan; Kenneth Kaliski

2008-01-01T23:59:59.000Z

495

A Data Mining-Based Wind Power Forecasting Method: Results for Wind Power Plants in Turkey  

Science Journals Connector (OSTI)

With the huge technological and industrial developments in recent years, the electricity demand of all countries has been increasing day by day. In order to supply the electricity needs, countries have been looki...

Mehmet Bar?? zkan; Dilek Kk

2013-01-01T23:59:59.000Z

496

Loranger Power Generation Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Loranger Power Generation Wind Farm Loranger Power Generation Wind Farm Jump to: navigation, search Name Loranger Power Generation Wind Farm Facility Loranger Power Generation Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Loranger Power Generation Developer Loranger Power Generation Location Berlin NH Coordinates 44.501183°, -71.231588° 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":44.501183,"lon":-71.231588,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

497

GHG emissions and energy performance of offshore wind power  

Science Journals Connector (OSTI)

Abstract This paper presents specific life cycle GHG emissions from wind power generation from six different 5MW offshore wind turbine conceptual designs. In addition, the energy performance, expressed by the energy indicators Energy Payback Ratio (EPR) Energy Payback Time (EPT), is calculated for each of the concepts. There are currently few LCA studies in existence which analyse offshore wind turbines with rated power as great as 5MW. The results, therefore, give valuable additional environmental information concerning large offshore wind power. The resulting GHG emissions vary between 18 and 31.4g CO2-equivalents per kWh while the energy performance, assessed as EPR and EPT, varies between 7.5 and 12.9, and 1.6 and 2.7 years, respectively. The relatively large ranges in GHG emissions and energy performance are chiefly the result of the differing steel masses required for the analysed platforms. One major conclusion from this study is that specific platform/foundation steel masses are important for the overall GHG emissions relating to offshore wind power. Other parameters of importance when comparing the environmental performance of offshore wind concepts are the lifetime of the turbines, wind conditions, distance to shore, and installation and decommissioning activities. Even though the GHG emissions from wind power vary to a relatively large degree, wind power can fully compete with other low GHG emission electricity technologies, such as nuclear, photovoltaic and hydro power.

Hanne Lerche Raadal; Bjrn Ivar Vold; Anders Myhr; Tor Anders Nygaard

2014-01-01T23:59:59.000Z

498

NREL: Energy Analysis - Wind Power Results - Life Cycle Assessment  

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

Wind LCA Harmonization (Fact Sheet) Wind LCA Harmonization (Fact Sheet) Cover of the LWind LCA Harmonization Fact Sheet Download the Fact Sheet Wind Power Results - Life Cycle Assessment Harmonization To better understand the state of knowledge of greenhouse gas (GHG) emissions from utility-scale wind power systems, NREL developed and applied a systematic approach to review life cycle assessment literature, identify sources of variability and, where possible, reduce variability in GHG emissions estimates through a meta-analytical process called "harmonization." Over the last 30 years, several hundred life cycle assessments have been conducted for wind power technologies with wide-ranging results. Harmonization for onshore and offshore wind power systems was performed by adjusting published greenhouse gas estimates to achieve:

499

Mill Run Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Wind Power Project Wind Power Project Jump to: navigation, search Name Mill Run Wind Power Project Facility Mill Run Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer Atlantic Renewable Energy Energy Purchaser Exelon Location Mill Run PA Coordinates 39.921026°, -79.388666° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.921026,"lon":-79.388666,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

500

Mt. Wachusett Community College Makes Huge Investment in Wind Power |  

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

Mt. Wachusett Community College Makes Huge Investment in Wind Power Mt. Wachusett Community College Makes Huge Investment in Wind Power Mt. Wachusett Community College Makes Huge Investment in Wind Power March 14, 2011 - 1:14pm Addthis Mount Wachusett Community College staff Bill Swift, Bob LaBonte, Norm Boudreau, George Couillard and Vestas trainer Bill Fulkerson about to ascend the MWCC north wind turbine | Photo courtesy of GreenOnGreenStreet Mount Wachusett Community College staff Bill Swift, Bob LaBonte, Norm Boudreau, George Couillard and Vestas trainer Bill Fulkerson about to ascend the MWCC north wind turbine | Photo courtesy of GreenOnGreenStreet Mark Higgins Operations Supervisor, Wind & Water Power Technologies Office What will this project do? The turbines are expected to provide an annual savings of approximately $700,000 based on the area's current utility rates.