Development of Wind Mapping Based on Artificial Neural Network (ANN) for Energy Exploration in Sarawak

Salisu Lawan MUHAMMAD; Wan Azlan Wan Zainul ABİDİN; Wang Yin CHAİ; Azhaili BAHARUN; Thelaha MASRİ

Makale detayları

Development of Wind Mapping Based on Artificial Neural Network (ANN) for Energy Exploration in Sarawak

Yazarlar:

Salisu Lawan MUHAMMAD | Wan Azlan Wan Zainul ABİDİN | Wang Yin CHAİ | Azhaili BAHARUN | Thelaha MASRİ

Yayıncı:

İlhami ÇOLAK

Dergi:

International Journal Of Renewable Energy Research 2014 Vol.4 Issue 3, pp.618-627

Belge Tipi:

Makale

Yayın Tarihi:

8/2014

Belge Dili:

İngilizce

Document ID (Org No.):

2000818555

Sıklık:

Aylık

pISSN:

1309-0127

Özet:

 

The exponential rise in global population and rapidly depleting reserves of fossil fuels and pollution that is occurring as a result of burning hydrocarbons have drawn the attention of researchers, engineers and designers in searching for clean and emission free sources of energy. Wind energy is naturally replenished which comes from wind and produce electricity using natural power of wind to drive a generator. The power is clean and inexhaustible that will sustain and maintained the environment. The most important parameter of the wind energy is the wind velocity. A couple number of wind speed prediction models have been published in scientific literatures that are related to estimation of wind speed values. This paper presents Neural Network (NN) techniques for the prediction of wind speed in the areas where wind speeds velocity does not exist. The ANN model has been designed using the NN Toolbox in Matlab environment. A total of ten years data from five locations starting from 2003 to 2012, and five years data from a period of 2008-2012 were used for the network training, testing and validation. Topographical parameters (latitude, longitude and elevation) and meteorological variables that results in wind formation have been considered in this study. Comparison techniques based on statistical measures between the references measured and simulated wind speed indicated that the ANN model correlated well with reference measured data.

Makale detayları

Development of Wind Mapping Based on Artificial Neural Network (ANN) for Energy Exploration in Sarawak

Yazarlar: Salisu Lawan MUHAMMAD | Wan Azlan Wan Zainul ABİDİN | Wang Yin CHAİ | Azhaili BAHARUN | Thelaha MASRİ

Yayıncı: İlhami ÇOLAK

Dergi: International Journal Of Renewable Energy Research 2014 Vol.4 Issue 3, pp.618-627

Belge Tipi: Makale

Yayın Tarihi: 8/2014

Belge Dili: İngilizce

Document ID (Org No.): 2000818555

Sıklık: Aylık

pISSN: 1309-0127

Sayı

Yazarlar:

Salisu Lawan MUHAMMAD | Wan Azlan Wan Zainul ABİDİN | Wang Yin CHAİ | Azhaili BAHARUN | Thelaha MASRİ

Yayıncı:

İlhami ÇOLAK

Dergi:

International Journal Of Renewable Energy Research 2014 Vol.4 Issue 3, pp.618-627

Belge Tipi:

Makale

Yayın Tarihi:

8/2014

Belge Dili:

İngilizce

Document ID (Org No.):

2000818555

Sıklık:

Aylık

pISSN:

1309-0127