In this model, Artificial Neural Network (ANN) toolbox has been used to predict the power degradation of the photovoltaic system. Four types have been examined along a very long span of time (11 years=10400000 points). The data are obtained based on four different locations. The four types are:
1-BP Solar, Poly-Si (Rated Power (DC) 4950 W).
2-BP Solar, Mono-Si (Rated Power (DC) 5100 W).
3-Sungrid, Mono-Si (Rated Power (DC) 5040 W).
4-Sungrid, Poly-Si (Rated Power (DC) 5040 W).
The user can enter the following data to get the results:
1-Day number.
2-Month number.
3-Operational years.
4-Current time.
5-Ambient temperature.
6-Solar radiation.

**Watch the video:

https://youtu.be/fFwQFCrEmzQ

 

**MatLab-SimuLink should be used to run the model.

Copyright © 2007 by Mohamed A. Sharaf Eldean Ayoub

All rights reserved. No part of this work may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the publisher (Mohamed A. Sharaf Eldean Ayoub). For permission requests, write to the publisher, addressed “Attention: Permissions Coordinator,” at the address below.

 

REDS Software Library
https://www.redslibrary.com
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Photovoltaic Power Degradation: ANN Model

SKU: AUXpvannpd
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