Investigation of the effect of weather conditions on solar radiation in Brunei Darussalam

• Published in: International journal of sustainable energy Vol. 35; no. 10; pp. 982 - 995
• Main Authors: Yazdani, M.G., Salam, M.A., Rahman, Q.M.
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 25.11.2016; Taylor & Francis Ltd
• Subjects: ANN; Brunei; Climatology; correlation; Learning theory; Meteorology; Neural networks; Radiation; Relative humidity; Solar energy; Solar radiation; temperature; Weather; Weather conditions; wind speed; Brunei, Darussalam
• ISSN: 1478-6451; 1478-646X
• DOI: 10.1080/14786451.2014.969266

The amount of solar radiation received on the earth's surface is known to be highly influenced by the weather conditions and the geography of a particular area. This paper presents some results of an investigation that was carried out to find the effects of weather patterns on the solar radiation in Brunei Darussalam, a small country that experiences equatorial climate due to its geographical location. Weather data were collected at a suitable location in the University Brunei Darussalam (UBD) and were compared with the available data provided by the Brunei Darussalam Meteorological Services (BDMS). It has been found that the solar radiation is directly proportional to the atmospheric temperature while it is inversely proportional to the relative humidity. It has also been found that wind speed has little influence on solar radiation. Functional relationships between the solar radiation and the atmospheric temperature, and between the solar radiation and the relative humidity have also been developed from the BDMS weather data. Finally, an artificial neural network (ANN) model has been developed for training and testing the solar radiation data with the inputs of temperature and relative humidity, and a coefficient of determination of around 99% was achieved. This set of data containing all the aforementioned results may serve as a guideline on the solar radiation pattern in the geographical areas around the equator.