wind modeling data Articles

  • Wind Energy Production Estimates: Moving Beyond Time Averages

    No need to be a statistician to see that averages are often useful to compare different things. And yet, they often fall short as a true measure of performance. For instance, we use averages to compare the current weather against the climate normals or to get a sense of how our favorite sport team or player is doing. Team (player) statistics are a concise way of combining the scores from many ...


    By AWS Truepower, LLC

  • Wind modelling based on wind input data conditions using Weibull distribution

    Weibull distribution can be used to model the wind speed distribution at a particular site and hence, it can help in wind resource assessment (WRA) of a site. By calculating the shape (k) and scale (c) parameters for Weibull distribution, the wind speed frequency curve for a site can be made. Once this wind speed distribution for site is determined, it can be convolved with the power curve for a ...


    By Inderscience Publishers

  • Data–driven modelling, control, and fault detection of wind turbine systems

    In this paper, data–driven system modelling, control, and fault detection technique for wind turbine systems are researched. The developed algorithm is to recursively update system parameters using predictor–based system identification (SID) technique. Updated system parameters are used to design subspace predictive controller for wind turbine systems with constraint on pitch angle and generator ...


    By Inderscience Publishers

  • Verification of Wind-Driven Volatilization Models

    Abstract  Mass-transfer processes of paramount importance, such as reaeration and volatilization, occur at the air–water interface. Particularly, volatilization is intensively studied because it can be a relevant removal process for toxic contaminants from flowing and standing surface waters. The paper provides a comparison among predictive equations available from literature for standing ...


    By Springer

  • Parameterisation of convective PBL using surface data for the wind and stability classes

    A simple two-layer model of convective planetary boundary layer (CPBL), consisting of a Surface Layer and an Ekman layer over it and developed in accordance with the similarity theory is used to obtain the vertical profiles of the temperature, wind velocity and the turbulent exchange coefficient in CPBL from the surface wind measurements and atmospheric stability data. As input to this model the ...


    By Inderscience Publishers

  • Dynamic validated model of a DFIG wind turbine

    This paper presents the development and qualitative validation of a doubly-fed induction generator (DFIG) wind turbine model that is represented in terms of behaviour equations of each of the subsystems, mainly the turbine rotor, the drive train, the induction generator, the power converters and associated control systems and a protection system. Simulation results obtained from the models are ...


    By Inderscience Publishers

  • Dispersion modelling in complex terrain using wind climatologies

    If annual mean values of concentration in complex terrain have to be determined, a representative wind climatology, which reflects local flow characteristics, is needed. This gives rise to two problems. First, observational data representative of the dispersion area are frequently not to hand. Second, the flow in the dispersion area itself may show a significant spatial structure, so transport is ...


    By Inderscience Publishers

  • Seeking a data model to match turbine advances

    With turbines becoming more innovative, how can developers collect accurate wind data that is centered around lower heights and limited points of measurement? In order to sustain wind power’s leadership in renewable energy, developers and operators will need to build and manage wind farms that deliver competitive results over the long term. The most important driver of wind farm ...


  • Exergy analysis of a wind turbine

    The present paper deals with a developed and improved approach for exergy analysis of the wind. Based on this model, a typical wind turbine model (Bergey Excel-S) is assumed to be installed in two cities in Iran. The results show that, with regard to the annual average wind data, if the wind turbine is installed in Tehran, by varying the cut in, rated and furling speeds from 3.1, 13.8 and 15.6 ...


    By Inderscience Publishers

  • Wind Surpasses Nuclear in China

    Wind has overtaken nuclear as an electricity source in China. In 2012, wind farms generated 2 percent more electricity than nuclear power plants did, a gap that will likely widen dramatically over the next few years as wind surges ahead. Since 2007, nuclear power generation has risen by 10 percent annually, compared with wind’s explosive growth of 80 percent per year. ...


    By Earth Policy Institute

  • New methods for measuring the wind

    Although computer models of wind flow over terrain have improved dramatically in the past few years, there is still no substitute for data recorded at the site. So you want to build a wind farm. Good for you. With the global drive towards a low carbon economy, it is surely the right way to go for many individuals, companies and, indeed, Governments around the world. As information from the ...


  • Amassing Wind Information

    Wind is a variable resource, but not an indecipherable one. Second Wind encourages harnessing the full range of wind sensing technologies that are available today. When it comes to wind information, much attention is focused on the choice of wind measurement technology and data collection practices in wind resource assessment and project design. Right now, wind data plays a limited role in the ...


  • Weather claims and wind safety

    Anybody working in the construction industry either here in the UK or anywhere else in the world is likely to know that the weather can present us with particular hazards. While rain, ice and snow are particularly dangerous to work in, we must always be aware that the wind is also likely to make conditions unsafe, particularly for those who work at height and those who ...

  • Intercomparison of Lagrangian dispersion models and validation with Lillestrom data

    Three different Lagrangian models (KLIMM-L, LASAT and STOER.LAG) are applied to the Lillestrom datasets. A pre-processing of the required vertical wind-profiles unifies the flow fields for the three models. In the framework of harmonisation the models show partial agreement with the datasets. The discrepancies are the same for all models. One reason for deviation of the datasets might be locally ...


    By Inderscience Publishers

  • Evaluation of the Lagrangian particle dispersion model DIPCOT against data from wind tunnel simulations of quasi two-dimensional turbulent flow

    The stochastic dispersion model DIPCOT was validated against data from wind tunnel experiments where heat, used as the tracer, was released in a quasi two-dimensional turbulent flow. Dispersion simulations, based on Langevin equation, were performed using measurements and the model predictions were quantitatively compared to the experimental data. Two approaches of the drift term in Langevin ...


    By Inderscience Publishers

  • A comparative study of prognostic MM5 meteorological modeling with aircraft, wind profiler, lidar, tethered balloon and RASS data over Philadelphia during a 1999 summer episode

    This study presents a comparative evaluation of the prognostic meteorological Fifth Generation NCAR Pennsylvania State University Mesoscale Model (MM5) using data from the Northeast Oxidant and Particle Study (NE-OPS) research program collected over Philadelphia, PA during a summer episode in 1999. A set of model simulations utilizing a nested grid of 36 km, 12 km and 4 km horizontal resolutions ...


    By Springer

  • A 3-D wind and temperature pre-processor for ATD models

    Many atmospheric transport and dispersion models, based on various approaches and applied to different spatial scales, need 3-D meteorological fields referred to regular grid systems. Data generally available, however, cannot be directly employed because of their irregularities, inconsistencies, insufficient spatial detail or inadequate terrain representation. To fill the gap between these input ...


    By Inderscience Publishers

  • Potential Dispersion Modeling Uses of Archived NOAA Forecast Model Data

    A newly-developed generation of air quality simulation models has the potential to use profiles of wind, temperature, and turbulence, as well as improved mixing height determination, measures of surface heat flux, and a host of other meteorological parameters. Several numerical weather prediction models that generate these comprehensive data sets are routinely being run by the National Oceanic ...

  • Changes in extreme wind speeds in NW Europe simulated by generalized linear models

    We investigate the capability of generalized linear models (GLMs) to simulate sequences of daily maximum wind speed (DMWS), at a selection of locations in NW Europe. Models involving both the gamma andWeibull distributions have been fitted to the NCEP reanalysis data for the period 1958–1998. In simulations, these models successfully reproduce the observed increasing trends up to 0.3m=s per ...


    By Springer

  • Meteorological data from numerical weather prediction or observations for dispersion modelling

    Synoptic observations of wind speed, direction, cloud cover, precipitation and temperature are inputs to regulatory dispersion modelling. Numerical Weather Prediction (NWP) data generated by national meteorological services are easily formatted for dispersion models. Changing from observations to NWP data raises concerns amongst regulators and model users – how might impact assessments differ if ...


    By Inderscience Publishers

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