TOPOGRAPHY DEPENDENT VERTICAL WIND DISTRIBUTION ESTIMATION

Karolina Lamkowska

klamkowska@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science (Poland)

Piotr Domagalski


Lodz University of Technology, Institute of Chemical Technology (Poland)

Abstract

We propose a novel technique for estimation of vertical wind distribution. Proposed modification of logarithmic profile relies on introducing topography dependent dispersion parameter calculated based on fractal dimension of topography. Initial results compared against full scale wind measurement show high agreement. Proposed methodology brings promise of precise a priori calculations of wind profile in case of non-flat, nonhomogeneous surface roughness terrain, improving the precision of wind potential estimation for wind energy sector.


Keywords:

surface roughness, fractal dimension, wind vertical distribution, estimation of wind energy potential, topography, micrometeorology

Cenedese A., Cosemans G., Erbrink H., Stubi R.: Vertical profiles of wind, temperature and turbulence, COST Action 710, Preprocessing of Meteorological Data for Dispersion Modelling 1998.
  Google Scholar

Elliot D. L., Holladay C. G., Barchet W. R., Foote H. P., Sandusky W. F.: Wind Energy Resource Atlas of the United States. Pacific Northwest Laboratories Report DOE/CH10094-4, NTIS 1987.
  Google Scholar

Eurocodes: EN 1990-1999, European Committee for Standardization.
  Google Scholar

Lawson T.V. et al.: ESDU 85020 Characteristics of atmospheric turbulence near the ground. Part II: single point data for strong winds (neutral atmosphere), 2001.
  Google Scholar

Manwell J. F., McGowan J. G., Rogers A. L.: Wind energy explained: theory, design and application. John Wiley& Sons 2010.
  Google Scholar

Troen I., Petersen E. L.: European Wind Atlas. Risø National Laboratory, Denmark, 1989.
  Google Scholar

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Published
2017-06-30

Cited by

Lamkowska, K. ., & Domagalski, P. . (2017). TOPOGRAPHY DEPENDENT VERTICAL WIND DISTRIBUTION ESTIMATION. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(2), 24–27. https://doi.org/10.5604/01.3001.0010.4830

Authors

Karolina Lamkowska 
klamkowska@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Piotr Domagalski 

Lodz University of Technology, Institute of Chemical Technology Poland

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