The objective of this paper is to get the most suitable model of monthly global solar radiation estimation in Jakarta which performs better than the others model. In this study, measured data of solar radiation were utilized to be compared with the empirical models from the literature and a new based-temperature model, to estimate the monthly intensities of global solar radiation in Jakarta, Indonesia (Latittude: 6.13° S, Longitude: 106.8° E). Global solar radiations were measured for two complete years, and the estimation of monthly solar radiation were calulated by four empirical models and also one linear regression model. The accuracy of the models was then analyzed in terms of some statistical indicators such as Mean Bias Error (MBE) and Root Mean Square Error (RMSE). The statistical analysis of result revealed that the empirical models have not the same accuracy, and it is concluded that there are the models that can be preferred for the estimation of monthly global solar radiation in Jakarta, Indonesia. The obtained results indicate that Allen is performing better than the others by obtaining maximum MBE of 0.52 and maximum RMSE of 1.82. It also can be said that Allen is the most suitable model for estimating a monthly global solar radiation in Jakarta, Indonesia.
|Journal||IOP Conference Series: Earth and Environmental Science|
|Publication status||Published - 25 Jan 2018|
|Event||2nd International Tropical Renewable Energy Conference, i-TREC 2017 - Bali, Indonesia|
Duration: 3 Oct 2017 → 4 Oct 2017