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Improvement of the Module Temperature Model in 1D5P Forecasting Power Output for Photovoltaic Systems |
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| รหัสดีโอไอ | |
| Creator | Promphak Dawan |
| Title | Improvement of the Module Temperature Model in 1D5P Forecasting Power Output for Photovoltaic Systems |
| Contributor | Promphak Dawana, Panet Suksing, Wiwat Jeungthanasirikul, Thanawan Sukkong , Wanwisa Laaongon, Terapong BoonraksaWanwisa Laaongona , Terapong Boonraksab |
| Publisher | Siam Technology College |
| Publication Year | 2561 |
| Journal Title | Journal of Technology and Innovation in Tertiary Education Siam Technology College |
| Journal Vol. | 1 |
| Journal No. | 2 |
| Page no. | 1-10 |
| Keyword | Module Temperature Model, weight function, root-mean-square error |
| URL Website | http://jti.siamtechno.ac.th |
| Website title | http://jti.siamtechno.ac.th |
| ISSN | 2630-0540 |
| Abstract | This paper presents the improvement of the existing module temperature model in forecasting power output for photovoltaic systems. The proposed module temperature model was developed by using a weight function technique. The weight function technique was created by using annual data on a module temperature and solar irradiance. Then the researchers adjusted the simulated graph trend to measure the weight function. The results showed the behavior of the proposed module temperature and confirmed accuracy by comparison of measured data. It was found that the root-mean-square error (RMSE) of the existing module temperature model ranged from 0.0257 to 0.0758 and the average RMSE was 0.0512, and the root-mean-square error (RMSE) of the proposed module temperature model adjusted by weight function ranged from 0.024 to 0.076, and the average RMSE was 0.0491. |
