Directional persistence of low wind speed observations

Gadian, Alan; Dewsbury, Jonathan; Featherstone, F.; Levermore, J.; Morris, Karen; Sanders, C.H.

doi:10.1016/j.jweia.2004.05.007

Cited by 6 publications

(13 citation statements)

References 4 publications

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“…This paper shows the complete transformation of the undisturbed wind flow caused by nonuniform relief and building arrangements. These results can be used to verify numerical simulation Introduction Many scientific works explore the different characteristics of urban wind fields (Simiu and Scanlan, 1996;Plate, 1999;Gadian et al, 2004;Raputa et al, 2011;Bady et al, 2011;Lo Brano et al, 2011). These works investigate how best to describe wind streams in urban areas, to identify sources of urban air pollution, to predict extreme meteorological conditions (sharp increases or decreases of urban wind speeds), or to plan the safe development of urban areas.…”

Section: Introductionmentioning

confidence: 99%

“…Research on how urbanization modifies wind fields is conducted through three different approaches. The first is natural (field) observation (measurements), using ultrasonic anemometers and other meteorological equipment (Gadian et al, 2004;Lo Brano et al, 2011), the second is the mathematical (hydrodynamic) modeling of processes in the atmosphere (Jacobson, 2005;Nowak et al, 2006;Raputa et al, 2011), and the third, and less common, is using physical models in wind tunnels (Plate, 1999;Bady et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Urban wind fields: Phenomena in transformation

et al. 2017

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This article shows how undisturbed wind streams undergo complex transformations in speed and directions as they interact with different areas in Krasnoyarsk City. Fifteen years of data from urban monitoring stations were collected, averaged and analyzed, and these data show how buildings' layout determines the number of possible wind speeds and directions at specific monitoring points. Wind speeds at some monitoring stations can increase up to 40% as compared to the undisturbed wind flow speed at the meteorological station. But some urban points have 300% more calm periods than at the station outside the city. This paper shows the complete transformation of the undisturbed wind flow caused by non-uniform relief and building arrangements. These results can be used to verify numerical simulation models of air pollution dispersion and to use this information to better parametrize a wide range of problems of wind flows in urban areas. Suggested Reviewers:Opposed Reviewers:Response to Reviewers: Dear Editor, First, we would like to thank reviewer #2 for his detailed comments, and then we would like to present our response to these comments.Reviewer comment No1: The needs and gaps in the field should have been explicitly defined at the end of the brief literature review. In addition, it should have been clarified how this study is going to fill those gaps.Response to Reviewer comment No. 1: We have added the following sentences to respond to these points.To solve the problems of managing air quality and regulating industrial emissions in cities, data from the nearest meteorological stations are used, even though these data don't necessarily represent real wind fields accurately. Using these data in the standard methods for calculating air pollution fields, for example OND-86 (OND-86, 1987), can lead to erroneous conclusions. In this regard, the necessary characteristics of wind speed and direction in urban areas should be averaged over various meteorological conditions. That, in turn, requires long-term (not less than 5 years') observations from meteorological stations in different urban areas.Reviewer comment No2: The studied case described in section 2 should have been justified.Response to Reviewer comment No. 2: We have added the following sentences to respond to these points. This data reflects the wind mode in the study area from 1995 to 2010, and it includes the entire range of meteorological conditions. The wind flow distributions at the Krasnoyarsk meteorological station (WMO index #29570) agree with the results taken over the last 100 years (Klimat Krasnoyarska, 1982).Reviewer comment No3: In section 4, the results are described, however, more justification should have been provided to explain the results. For example, the wind speed at point 8 is higher the wind speed at meteorological station. This should have been justified and also similar cases in the open literature should have been address to support the rationale behind this behavior.Response to Reviewer comment No. 3: We have added the following sent...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Urban wind fields: Phenomena in transformation

et al. 2017

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“…Results are reported for wind persistence at different stations in Turkey. In [203] the directional persistence of low wind speed observations is studied, in this case with possible application on micro-wind energy but also on air pollution dispersion and natural ventilation of buildings. Results on real data for Scotland are reported.…”

Section: Persistence Of Renewable Energy Resourcesmentioning

confidence: 99%

Persistence in complex systems

et al. 2022

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“…Continuing this work, Lines defined guidelines for the inclusion of low wind speed conditions into risk assessment techniques . Gadian focuses on the directional persistence of low wind speed that can affect the dispersion of pollutants . Another approach, introduced by Leahy and McKeogh, is focused on the implications of low wind speed persistence in wind power and contains the concept of both IGD and DGI methodologies.…”

Section: Introductionmentioning

confidence: 99%

Low wind speed events: persistence and frequency

et al. 2017

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Over the last decades, wind energy industry has been growing with an increasing rate. This is highly relevant to the need of new wind farm site selection with certain standards such as high wind potential and accessibility. Even in windy areas, low wind speed persistence can be characterized as an extreme (non-frequent) atmospheric condition for the electricity network as it can lead to low or no energy production. The current work is focused on the estimation of the duration and the frequency of occurrence of low wind speed events using the principles of extreme value theory. The two methods used are the 'intensity given duration' and the 'duration given intensity' that lead to the same point from different perspectives. The data used is derived from a 10 year, hindcast, high-resolution database developed by the Atmospheric Modeling and Weather Forecasting Group of the University of Athens. The great potential and multinational interest concerning energy applications in the North Sea has led to its selection as a study area. The outcome of the study includes the development of intensity-duration-frequency curves as well as a comparison between the two methodologies adopted. Based on these, the largest period of no energy production for a preselected probability of occurrence is estimated for the area of interest. The results of this work could be potentially supportive for studying the regional climatology. Such information can be included in risk assessment techniques and can be applied among others for energy activities.

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Directional persistence of low wind speed observations

Cited by 6 publications

References 4 publications

Urban wind fields: Phenomena in transformation

Urban wind fields: Phenomena in transformation

Persistence in complex systems

Low wind speed events: persistence and frequency

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