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Cairo University (2011)

Developing a Wind Speed Prediction Tool using Artificial Neural Networks and Designing Wind Park in Syria using WASP Software

Aubai Mohamed Alkhatib

Titre : Developing a Wind Speed Prediction Tool using Artificial Neural Networks and Designing Wind Park in Syria using WASP Software

تصميم أداة للتنبؤ بسرعة الرياح وتصميم مزرعة ريحية في منطقة الهيجانة في سوريا

Auteur : Aubai Mohamed Alkhatib

Etablissement de soutenance : Cairo University

Grade : Master of Science (MS) 2011

Résumé
This thesis shows the different prediction possibilities in wind speed by using the artificial neural network for the time shift wind speed prediction using Matlab program. Additionally using the WASP program for sizing a suggested wind farm and do the prediction possibilities horizontally and vertically. An error calculation was also carried out in order to evaluate the performance of the suggested ANN prediction tool and to show the improvement of errors with the different approaches. The best root square error was /0.0505/. A complete 100 [MW] V90 wind turbines farm module was studied using the WASP program. ?

Mots Clés : Wind turbine, Wind farms, Artificial networks, Awake effect, Grid integration

Présentation

Page publiée le 9 avril 2020