27,178 research outputs found
University Wind Ensemble, February 15, 1976
No full textRecorded during a live performance at Oakland Recital Hall, Western Michigan University, Kalamazoo, Michigan, February 15, 1976, program no. 156 of the Department of Music’s 1975-1976 season.University Wind Ensemble, Carl Bjerregaard, conductor ; Suzanne Keene, flute solo (3rd work).2nd work for 2 oboes, 2 clarinets, 2 horns, and 2 bassoons; 3rd work originally for flute and piano.Information from performance program.Reel 1: Symphony for brass and percussion. Andante; (4:37) Vivace; (9:13) Lento desolato; (12:43) Introduction - Allegro / Gunther Schuller -- Tre ottetti. (18:10) Allegro maestoso; (23:53) Larghetto un poco sostenuto; (28:04) Menuetto / Josef Myslivecek.Reel 2: Fantaisie / Georges Hüe -- (8:44) Variations on “Meine junges Leben hat ein End’” / Jan P. Sweelinck -- (16:51) Purple roofed ethical suicide parlor / Donald Erb
meeting agendas, notes and presentations made to the Kansas Wind Working Group, 2008-2009. Kansas Wind Working Group, 2008-2009 meeting agendas, notes and presentations.
No full textGovernor Mark Parkinson serves as chair of the Kansas Wind Working Group.
"By opening the dialogue between advocacy groups, utility companies and communities across our state we can form a shared vision on how best to move forward with new wind projects in Kansas"--Lieutenant Governor Mark Parkinson.
The Kansas Wind Working Group will be supported by the State Energy Office of the Kansas Corporation Commission and the Lieutenant Governor's Office.The Kansas Wind Working Group (WWG) is a 33-member group announced by former Governor Kathleen Sebelius on Jan. 7, 2008. Formed through Executive Order 08-01, the WWG will educate stakeholder groups with the current information on wind energy markets, technologies, economics, policies, prospects and issues.Material found here:
Jan. 18, 2008 (2008118)
Agenda
Presentation - Lt. Governor Mark Parkinson
Presentation - Larry Flowers, Wind Powering America
Apr. 2, 2008 (20080402)
Agenda
Presentation - Jay Caspary, SPP
Presentation - Randi Tveitaraas Jack, Kansas Department of Commerce
June 18, 2008 (20080618)
Agenda
Notes
February 20, 2009 (20090220)
Agenda
Presentation - Michael Moffet
Presentation - Mari Tucker & Loretta Shelley
Presentation - Dr. Jan Twomey & Dr. Michael Overcash
Presentation - Dan Nagengast & Dan Hartman
September 9, 2009 (20090909)
Agend
Dynamical Modeling of Stochastic Wind Flow in Street Canyons
No full textFor decades, the borders of building studies were restricted up to the exterior walls. With better understanding the side effect of urbanization on human health and with excessive progress in new investigation tools, the area of building studies were enlarged to neighborhood environment where mass and air transport vividly interacts with the buildings. Unlike the indoor studies, one can emphasize the significance of the stochastic wind in outdoor studies. To verify the contribution of the wind velocity over/within street canyons/buildings many experimental and simulation studies have been conducted. These works were mainly designed to observe the relations between wind flow and natural ventilation, pollution dispersion, pedestrian thermal/wind comfort, and drag resistance of the buildings. All these efforts continuously proved the significance of vortices caused by upstream wind as they interact on physical phenomena within the street canyons. The main drawback of these studies is however not attributed to the extracted results, but the way in which wind, an inherently transient and stochastic phenomenon, is presented by a steady state consideration as applied through the boundary conditions. For example, upstream wind in terms of direction and magnitude is widely considered as a constant and steady state profile induced through the street canyons. Nonetheless, due to the transient and stochastic nature of encountered wind in the urban environment, these assumptions fail to fully capture the physics of the problems. Thus, the main point of concern in street canyon modeling should be described as constant and steady state reflection of stochastic and transient phenomena through the boundary conditions. Although there are existing studies related to the application of transient boundary conditions, a practical procedure to model the dynamic and stochastic behavior of wind direction is barely addressed in literature. In light of the lack of stochastic wind modeling, this study intends to introduce for the first time an approach in order to generate dynamic wind. This is followed by a brief discussion of existing approaches in urban-scale wind modeling and their major shortcomings. For this purpose, a computational Fluid dynamics (CFD) model is developed considering a novel cylindrical computational domain. An analytical and a parametric study have been also conducted to obtain proper sizes for the domain geometries. Moreover, the advantages of the proposed model comparing to the traditional approaches are depicted using a case study of cuboids’ array. It is also more feasible to investigate the dynamic impact of pollution, moisture, and air transport on pedestrian comfort and health. It should be mentioned that this technique can be applied and expanded to other wind engineering subject areas
Ensemble-Based Flow Field Estimation Using the Dynamic Wind Farm Model FLORIDyn
No full textWind farm control methods allow for a more flexible use of wind power plants over the baseline operation. They can be used to increase the power generated, to track a reference power signal or to reduce structural loads on a farm-wide level. Model-based control strategies have the advantage that prior knowledge can be included, for instance by simulating the current flow field state into the near future to take adequate control actions. This state needs to describe the real system as accurately as possible. This paper discusses what state estimation methods are suitable for wind farm flow field estimation and how they can be applied to the dynamic engineering model FLORIDyn. In particular, we derive an Ensemble Kalman Filter framework which can identify heterogeneous and changing wind speeds and wind directions across a wind farm. It does so based on the power generated by the turbines and wind direction measurements at the turbine locations. Next to the states, this framework quantifies uncertainty for the resulting state estimates. We also highlight challenges that arise when ensemble methods are applied to particle-based flow field simulations. The development of a flow field estimation framework for dynamic low-fidelity wind farm models is an essential step toward real-time dynamic model-based closed-loop wind farm control.Team Jan-Willem van WingerdenWind Energ
Factors influencing wind energy curtailment
No full textNonphysically firm wind generation connections (i.e., those to which curtailment can apply) may be necessary for significant wind integration to congested transmission networks. A study of factors influencing this associated wind energy curtailment is, therefore, of timely importance. In this paper, the wind curtailment estimation effects of natural inter-yearly wind profile variability, system demand-profile/fuel-price parameter uncertainty, and minimum system inertial constraints are studied in detail. Results indicate that curtailment estimation error can be reduced by appropriate wind data year-length and sampling-rate choice, though a pragmatic consideration of system parameter uncertainty should be maintained. Congestion-related wind energy curtailment risk due to such parameter uncertainty exhibits appreciable interlocational dependency, suggesting there may be scope for effective curtailment risk management. The coincidence of wind energy curtailment estimated due to network thermal congestion and system wide inertial-stability issues also has commercial significance for systems with very high wind energy penetration targets, suggesting there may be appreciable interaction between different sources of curtailment in realityScience Foundation IrelandCharles Parsons Energy Research AwardsCharles Parson
ti, pe, la, ke, ab, sp - kpw7/11/1
Information paper: evidence on wind farms and human health
No full textThis Information Paper provides Australians with a summary of the evidence on possible health effects of wind farms in humans and explains how NHMRC developed its summary based on the findings of independent reviews of the evidence. It is intended for use by any person or group interested in wind farms.
Wind farms in Australia
Wind turbines use rotating blades attached to towers to convert wind energy into electricity. A group of wind turbines is known as a wind farm and may be located on land or offshore. Wind turbine design has evolved over the last 20 years to enable better harnessing of wind energy.
Wind farms have been promoted as a viable and sustainable alternative to traditional, non-renewable forms of energy production. Since the introduction of the Renewable Energy Act 2000, the number of wind farms in Australia has grown substantially. At the end of 2013, there were 68 wind farms across the country and more were being constructed or planned.
Why NHMRC is conducting this work
NHMRC is responsible for ensuring that Australians receive the best available, evidence-based advice on matters relating to improving health and to preventing, diagnosing and treating disease. Concern about the effects on health from living near a wind farm has been expressed by some members of the community. Therefore, NHMRC examined the evidence on health effects associated with exposure to specific emissions from wind farms — noise, shadow flicker and electromagnetic radiation.
The current investigation of the potential health effects of wind farms builds upon NHMRC’s previous work in this area. In 2010, NHMRC’s Public statement: Wind turbines and health was published, with supporting evidence from Wind turbines and health: A rapid review of the evidence. The 2010 NHMRC Public Statement concluded that there “is currently no published scientific evidence to positively link wind turbines with adverse health effects”. Due to the limited amount of published scientific literature, NHMRC committed to carrying out a more extensive search for evidence.
This Information Paper provides an update to NHMRC’s previous work in this area. It is based on a comprehensive review of the available scientific evidence following well-established systematic review principles, which provide the most rigorous process for identifying and critically appraising evidence.
In Australia, responsibility for regulating the planning, development and operation of wind farms lies with state, territory and local governments. The outcomes of NHMRC’s review may assist these organisations to make decisions about the regulation of wind farms.
NHMRC’s review of the evidence will enable well-designed and targeted research to be undertaken in areas that have been identified as gaps in the evidence base
Blockage effects in wind farms
No full textAn experimental study of wind farm blockage has been performed to quantify the velocity decrease that the first row of a wind farm experiences due to the presence of the other turbines downstream. The general perception has been that turbines downstream of the first row are only influenced by the wakes from upstream turbines without any upstream effect. In the present study, an attempt is made to demonstrate the existence of a two-way coupling between individual turbines and turbines in the wind farm. Several staggered layouts were tested in the wind tunnel experiments by changing the spacing between rows, spacing between turbines in the rows, and the amount of wind turbines involved. The experiments focused on turbines located in the center of the first row as well as the two turbines located in the row edges, usually believed to experience a speedup. The present results show that no speedup is present and that all the turbines in the first row are subjected to a reduced wind speed. This phenomenon has been considered to be due to “global blockage.” An empirical correlation formula between spacing, number of rows, and velocity decrease is proposed to quantify such effect for the center turbine as well as for the turbines at the edges.</p
A status report of wind-driven rain research at the Laboratory of Building Physics, K.U.Leuven
No full textThis paper reports on past and ongoing wind-driven rain (WDR) research at the Laboratory of Building Physics, K.U.Leuven. It is based on the philosophy that WDR research consists of two main parts: (1) The assessment of the amount and intensity of WDR impinging on the building facade and (2) The assessment of the contact and surface phenomena that occur after impact of raindrops: splashing, evaporation, adhesion, absorption, runoff. The paper provides a brief overview of research in terms of full-scale measurements and CFD simulations of WDR on the VLIET test building and full-scale measurements with a newly developed test set-up for contact and surface phenomena
Analysis and multi-objective optimisation of wind turbine torque control strategies
No full textThe combined wind speed estimator and tip-speed ratio (WSE–TSR) tracking wind turbine control scheme has seen recent and increased traction from the wind industry. The modern control scheme provides a flexible trade-off between power and load objectives. On the other hand, the Kω2 controller is often used based on its simplicity and steady-state optimality and is taken as a baseline here. This paper investigates the potential benefits of the WSE–TSR tracking controller compared to the baseline by analysis through a frequency-domain framework and by optimal calibration through a systematic procedure. A multi-objective optimisation problem is formulated for calibration with the conflicting objectives of power maximisation and torque fluctuation minimisation. The optimisation problem is solved by approximating the Pareto front based on the set of optimal solutions found by an explorative search. The Pareto fronts were obtained by mid-fidelity simulations with the National Renewable Energy Laboratory (NREL) 5 MW turbine under turbulent wind conditions for calibration of the baseline and for increasing fidelities of the WSE–TSR tracking controller. Optimisation results show that the WSE–TSR tracking controller does not provide further benefits in energy capture compared to the baseline Kω2 controller. There is, however, a trade-off in torque control variance and power capture with control bandwidth. By lowering the bandwidth at the expense of generated power of 2 %, the torque actuation effort reduces by 80 % with respect to the optimal calibration corresponding to the highest control bandwidth.Wind EnergyTeam MuldersTeam Riccardo FerrariTeam Jan-Willem van Wingerde
High-resolution CFD modelling of Lillgrund Wind farm
No full textWe report on a fully dynamic simulation of Vattenfall’s Lillgrund offshore Wind Farm, with a focus on the wake effects of turbines on the performance of individual turbines, and of the farm as a whole.The model uses a dynamic representation of a wind turbine to simulate interaction between the wind and the turbine rotors, calculating the instantaneous power output and forces on the air; this was embedded in a finite element, large eddy simulation (LES) computational fluid dynamics code. This model was applied to the wind farm for a selection of key wind speeds and directions, to investigate cases where a row of turbines would be fully aligned with the wind or at specific angles to the wind. The simulation results were then compared to actual performance measurements from the wind farm spanning several years’ of operation.<br/>These results demonstrate that time-resolving LES simulations are able to reproduce realistic wake structures, including wake meandering and wake recovery, as well as the effect of wakes on turbine performance
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