Rank: 1394 based on 79 downloads (last 30 days) and 3 files submitted
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Francesco Perrone

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Company/University
Universit├Ąt Oldenburg
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53.54626, 8.570154

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Professional Interests:
image processing and analysis,mechanical and materials engineering,wind energy, turbulence, fatigue mechanics

 

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Files Posted by Francesco View all
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(last 30 days)
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27 Sep 2013 Screenshot 3D turbulent wind for wind energy: Kaimal and improved von Karman models Generation of 3D turbulent wind for aero-elastic purpose Author: Francesco Perrone turbulent windwind en..., turbulent wind wind e... 33 0
02 Apr 2013 3D Turbulent Wind Field Simulation by means of Sandia Method for wind energy applications 3D turbulent wind field generator with Kaimal model Author: Francesco Perrone turbulence wind field..., turbulent wind, signal processing, statistics, kaimal, coherence 23 4
  • 3.5
3.5 | 2 ratings
19 Mar 2012 3D Turbulent Wind Field by means of the Mann Model IEC_Mann retrieves a 3D turbulent wind field for wind energy applications using the Mann model. Author: Francesco Perrone turbulence gaussianit... 23 3
  • 5.0
5.0 | 2 ratings
Comments and Ratings by Francesco View all
Updated File Comments Rating
25 Jan 2013 Rainflow Counting Algorithm Very fast rainflow cycle counting for MATLAB Author: Adam Nieslony

The function is great.
Btw I've got a question: trying to cross-check results coming from your function and those from another software on the same time series, leads to different rfc. Within your function, half cycles are untreated (I mean being rounded up/down); the mismatch with the other software is located exactly there. Do you know any method to further process half cycles?

21 Oct 2012 3D Turbulent Wind Field by means of the Mann Model IEC_Mann retrieves a 3D turbulent wind field for wind energy applications using the Mann model. Author: Francesco Perrone

It is the hypergeometric function 2f1. You can find it as hypergeom in the newest Matlab releases, otherwise you should be able to find it in the File Exchange. I hope this helps.

05 May 2012 3D Turbulent Wind Field Simulation by means of Sandia Method for wind energy applications 3D turbulent wind field generator with Kaimal model Author: Francesco Perrone

You should download the lapack package here

http://www.mathworks.com/matlabcentral/fileexchange/16777

as said within "Other Requirements!

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09 May 2013 3D Turbulent Wind Field Simulation by means of Sandia Method for wind energy applications 3D turbulent wind field generator with Kaimal model Author: Francesco Perrone kai

Thank you for your sharing code. I wonder that if you use FFT to transform frequency matrix to time series correlty. The code you written is as follows:
for ii = 1:N
tmp_u = (fft((H_u(ii,:)))); % FFT
tmp_v = (fft((H_v(ii,:))));
tmp_w = (fft((H_w(ii,:))));

% Up to this point only the one-sided spectrum has been considered to
% lighten the computational effort, since the double-sided spectrum is
% an even function about the frequency axis.
% Therefore, we can now merge real and imaginary part of the fft to get
% the ultimate time series.

U(ii,:) = [real(tmp_u) imag(tmp_u)];
V(ii,:) = [real(tmp_v) imag(tmp_v)];
W(ii,:) = [real(tmp_w) imag(tmp_w)];
end

I think ifft should be used here.

03 May 2013 3D Turbulent Wind Field by means of the Mann Model IEC_Mann retrieves a 3D turbulent wind field for wind energy applications using the Mann model. Author: Francesco Perrone pikchi

Great Submission! One thing that isn't clear is your use of Corrective Factor SF. Is there a corresponding paper that you could refer me to? Moreover, something seems to be wrong with the last nested for loop. As of now, the line for i = 1:length(sf) is equivalent to the line i = length(sf), since you don't carry any history for utmp with the iterating index i.

21 Nov 2012 3D Turbulent Wind Field Simulation by means of Sandia Method for wind energy applications 3D turbulent wind field generator with Kaimal model Author: Francesco Perrone Jean

Thank you for this script.
I think there is a mistake in the IEC 61400-1 implementation, the power spectrum for Kaimal should be with a 5/3 power and not a 5/6:

PSD(i,IVec)=SigmaLU(IVec)/(1.0 + LU(IVec)*Freq(i))^Exp3

with Exp3=5/3
Moreover the calculated time series is artifically scaled to the desired mean & standard deviation, but the calculation output seems to be very far from the desired value. I therefore suspect an error in the code.
A lot of lines could be vectorized.

21 Oct 2012 3D Turbulent Wind Field by means of the Mann Model IEC_Mann retrieves a 3D turbulent wind field for wind energy applications using the Mann model. Author: Francesco Perrone Perrone, Francesco

It is the hypergeometric function 2f1. You can find it as hypergeom in the newest Matlab releases, otherwise you should be able to find it in the File Exchange. I hope this helps.

19 Oct 2012 3D Turbulent Wind Field Simulation by means of Sandia Method for wind energy applications 3D turbulent wind field generator with Kaimal model Author: Francesco Perrone Sarlak, Hamid

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