The Landscape Influence on the Wind Energy Distribution in Height on the Latvian Coast of the Baltic Sea

Bezrukovs, Vladislavs; Lizuma, Lita

doi:10.1016/j.egypro.2014.07.073

Cited by 5 publications

(6 citation statements)

References 2 publications

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“…To quantitatively distinguish between each distinct environment, we assigned each environment an estimated aerodynamic surface roughness length based on prior literature [14, 32, 28]. Though methods for estimating surface roughness with single level anemometer data have previously been proposed [15, 34], they generally require sensor placement above the roughness elements, which was not possible in our forest and urban experiments.…”

Section: Methodsmentioning

confidence: 99%

“…[25] found horizontal and vertical turbulence intensities measurements from two different cities to be in general agreement, suggesting that near-surface turbulent characteristics may be similar across urban areas. Other case studies have examined wind profiles specific to an area of interest for wind energy assessment [27, 28, 29]. Though these efforts have all contributed to our collective knowledge of near-surface wind patterns, we still do not have a comprehensive understanding of the fine-scale wind direction and wind speed variability which occurs across environments of varying surface complexity in daytime convective processes.…”

Section: Introductionmentioning

confidence: 99%

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Near-surface wind variability over spatiotemporal scales relevant to plume tracking insects

Houle

Breugel

2023

Preprint

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Odor plume tracking is an important biological process for many organisms, and flying insects have served as popular model systems for studying these behaviors both in the field and in lab settings. The shape and statistics of the airborne odor plumes that insects follow are largely governed by the wind that advects them. Prior atmospheric studies have investigated aspects of microscale wind patterns with an emphasis on characterizing pollution dispersion, enhancing weather prediction models, and for assessing wind energy potential. Here, we aim to characterize microscale wind dynamics through the lens of short-term ecological functions by focusing on spatial and temporal scales most relevant to an insect actively searching for an odor source. We collected and compared near-surface wind data across three distinct environments (sage steppe, forest, and urban) in locations across Northern Nevada. Our findings show that near-surface wind direction variability decreases with increasing wind speeds and increases in environments with greater surface complexity. Across environments, there is a strong correlation between the variability in wind speed (i.e. turbulence intensity) and wind direction (i.e. the standard deviation in wind direction). In some environments, the standard deviation in wind direction varied as much as 15 deg to 75 deg on time scales of 1-10 minutes. We draw insights between our findings and previous plume tracking experiments to provide a general intuition for future field research and guidance for wind tunnel experimental design. From our analyses, we hypothesize that there may be an ideal range of wind speeds and environment complexity in which insects will be most successful when tracking an odor plume to its source.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Near-surface wind variability over spatiotemporal scales relevant to plume tracking insects

Houle

Breugel

2023

Preprint

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“…greater by 11 % than that obtained by expression (4). Therefore, the average cubic wind speed value can be used for estimation of the wind turbine operational efficiency in a first approximation.…”

Section: Estimation Of the Electrical Energy Output By Wind Turbine Bmentioning

confidence: 99%

“…In this case, its operational efficiency can be characterized by coefficient C a equal to the ratio of the calculated electrical energy output to the installed power of a generator at its non-stop running for a year, i.e. : (4) In turn, the calculated average cubic wind speed V avg.cub. , equal to 6.75 m/s according to the curve in Fig.…”

Section: Estimation Of the Electrical Energy Output By Wind Turbine Bmentioning

confidence: 99%

“…The models are calculated for up to the height of 200 m using expressions (1) and (2) based on the measurement data and extrapolation coefficients. These latter are presented in Table 1 and correspond to three different types of terrain at sites 1, 2 and 3 [4], with the root-mean-square deviation R 2 of the approximating curves not less than 0.985. The determination of approximation coefficients for the height distribution curve of average wind speed values which was done within a relatively short time span with the use of measuring complexes (a mast with sensors or a lidar) allows future calculations of the wind speed at a given height based on the long-term measurement data from MetStations for the height of 10 m. Therefore -which is important -the data obtained for this height at many points in the territory of Latvia can be used to draw the map of potential wind energy at heights up to 200 m. Continuous records of the wind speed values with a three-second interval make it possible to construct precisely enough the wind speed frequency distribution curves F(V) [5,6], and consequently calculate the wind energy density P avg.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Wind Shear and Wind Energy Potential in the Baltic Sea Region of Latvia

Bezrukovs

Zacepins

Komashilovs

2015

Latvian Journal of Physics and Technical Sciences

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The paper is devoted to the investigation into the wind energy potential based on long-term observations of the wind speed and energy density fluctuations at heights from 10 to 160 m on the Baltic Sea coast of Latvia. During the observations (2004 -2013), the wind speed and direction values were measured, and the statistical database was accumulated using a LOGGER 9200 Symphonie measuring systems mounted on 60 m masts -one on the western coast and another on the north-east of Latvia. From June 2011 to May 2012, these measurements were complemented with the data for the heights from 40 to 160 m obtained by means of a ZephIR lidar and with the metrological data provided by "Latvian Environment, Geology and Meteorology Centre" for the same period. The graphs of seasonal fluctuations in the wind speed were obtained for the heights up to 160 m by measurements over the period of 2007 -2013. The results of the research on the wind speed distribution up to 200 m are promising for evaluation of the wind energy potential of Latvia and will be helpful in assessment of prospective sites for construction of WPPs.Keywords: long-term wind measurements; wind speed and energy distribution up to 200 m; ZephIR lidar; LOGGER 9200 Symphonie; wind speed approximating functions.

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Near-surface wind variability over spatiotemporal scales relevant to plume tracking insects

Houle

Breugel

2023

Physics of Fluids

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Odor plume tracking is important for many organisms, and flying insects have served as popular model systems for studying this behavior both in field and laboratory settings. The shape and statistics of the airborne odor plumes that insects follow are largely governed by the wind that advects them. Prior atmospheric studies have investigated aspects of microscale wind patterns with an emphasis on characterizing pollution dispersion, enhancing weather prediction models, and for assessing wind energy potential. Here, we aim to characterize microscale wind dynamics through the lens of short-term ecological functions by focusing on spatial and temporal scales most relevant to insects actively searching for odor sources. We collected and compared near-surface wind data across three distinct environments (sage steppe, forest, and urban) in Northern Nevada. Our findings show that near-surface wind direction variability decreases with increasing wind speeds and increases in environments with greater surface complexity. Across environments, there is a strong correlation between the variability in the wind speed (i.e., turbulence intensity) and wind direction (i.e., standard deviation in wind direction). In some environments, the standard deviation in the wind direction varied as much as 15°–75° on time scales of 1–10 min. We draw insight between our findings and previous plume tracking experiments to provide a general intuition for future field research and guidance for wind tunnel design. Our analysis suggests a hypothesis that there may be an ideal range of wind speeds and environment complexity in which insects will be most successful when tracking odor plumes over long distances.

show abstract

The Landscape Influence on the Wind Energy Distribution in Height on the Latvian Coast of the Baltic Sea

Cited by 5 publications

References 2 publications

Near-surface wind variability over spatiotemporal scales relevant to plume tracking insects

Near-surface wind variability over spatiotemporal scales relevant to plume tracking insects

Assessment of Wind Shear and Wind Energy Potential in the Baltic Sea Region of Latvia

Near-surface wind variability over spatiotemporal scales relevant to plume tracking insects

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