A new approach for predicting solar radiation in tropical environment using satellite images - Case study of Malaysia
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World Scientific and Engineering Academy and Society (WSEAS) Press
2009
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my.unimap-69042009-08-17T03:55:12Z A new approach for predicting solar radiation in tropical environment using satellite images - Case study of Malaysia Ayu Wazira, Azhari Kamaruzzaman, Sopian Azami, Zaharim AL Ghoul, Mohamad Satellite images Solar energy Solar radiation mapping Solar radiation modeling Senewable energy Solar thermal Malaysia -- Remote-sensing images Link to publisher's homepage at http://www.wseas.org/ Satellite images have been indentified as an alternative and accurate method for predicting average annual daily solar radiation of a specific location. These images can be use to predict the performance and sizing of various solar energy systems such as solar thermal and photovoltaic applications. The data from satellite images are used and compared with the actual readings from solar instruments. The results are then used to estimate solar intensity for other places where solar instrument is not available. Malaysia lies entirely in the equatorial region. The tropical environment has been characterized by heavy rainfall, constantly high temperature and relative humidity. The annual average daily solar irradiations for Malaysia were from 4.21 kWh/m2 to 5.56 kWh/m2. The highest solar radiation was estimated at 6.8 kWh/m2 in August and November while the lowest was 0.61 kWh/m2 in December. The Northern region and a few places in East Malaysia have the highest potential for solar energy application due to its high solar radiation throughout the year. 2009-08-17T03:54:40Z 2009-08-17T03:54:40Z 2008 Article WSEAS Transactions on Environment and Development, vol.4 (4), 2008, pages 373-378. 1790-5079 http://www.worldses.org/journals/environment/index.html http://hdl.handle.net/123456789/6904 en World Scientific and Engineering Academy and Society (WSEAS) Press |
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Universiti Malaysia Perlis |
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UniMAP Library |
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Institutional Repository |
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Asia |
| country |
Malaysia |
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Universiti Malaysia Perlis |
| content_source |
UniMAP Library Digital Repository |
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http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Satellite images Solar energy Solar radiation mapping Solar radiation modeling Senewable energy Solar thermal Malaysia -- Remote-sensing images |
| spellingShingle |
Satellite images Solar energy Solar radiation mapping Solar radiation modeling Senewable energy Solar thermal Malaysia -- Remote-sensing images Ayu Wazira, Azhari Kamaruzzaman, Sopian Azami, Zaharim AL Ghoul, Mohamad A new approach for predicting solar radiation in tropical environment using satellite images - Case study of Malaysia |
| description |
Link to publisher's homepage at http://www.wseas.org/ |
| format |
Article |
| author |
Ayu Wazira, Azhari Kamaruzzaman, Sopian Azami, Zaharim AL Ghoul, Mohamad |
| author_facet |
Ayu Wazira, Azhari Kamaruzzaman, Sopian Azami, Zaharim AL Ghoul, Mohamad |
| author_sort |
Ayu Wazira, Azhari |
| title |
A new approach for predicting solar radiation in tropical environment using satellite images - Case study of Malaysia |
| title_short |
A new approach for predicting solar radiation in tropical environment using satellite images - Case study of Malaysia |
| title_full |
A new approach for predicting solar radiation in tropical environment using satellite images - Case study of Malaysia |
| title_fullStr |
A new approach for predicting solar radiation in tropical environment using satellite images - Case study of Malaysia |
| title_full_unstemmed |
A new approach for predicting solar radiation in tropical environment using satellite images - Case study of Malaysia |
| title_sort |
new approach for predicting solar radiation in tropical environment using satellite images - case study of malaysia |
| publisher |
World Scientific and Engineering Academy and Society (WSEAS) Press |
| publishDate |
2009 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/6904 |
| _version_ |
1643788581656854528 |
| score |
13.214268 |