An experimental study on hybrid control of a solar tracking system to maximize energy harvesting in Jordan
| dc.contributor.author | Othman, Ahmad Al | |
| dc.contributor.author | Younes, Tariq | |
| dc.contributor.author | Adwan, Ibrahim Al | |
| dc.contributor.author | Khawaldah , Mohammad Al | |
| dc.date.accessioned | 2024-02-01T12:46:13Z | |
| dc.date.available | 2024-02-01T12:46:13Z | |
| dc.date.issued | 2023-10 | |
| dc.description | Due to the growing threat of global warming caused by increased energy consumption, it was necessary for countries to switch to clean and renewable energy sources in order to meet their energy demands. As a result of the development of renewable energy, renewable energy accounted for 11.9% of the world's primary energy in 2021 [1]. This appeared clearly with the increasing growth in investement in the renewable energy field, especially in the solar energy field; the achieved solar energy capacity reached to 100GW during 2012, and the number of countries installing more than 1 GW annually has increased to 18 [2] | |
| dc.description.abstract | Due to its capacity to maximize the power produced by photovoltaic (PV) panels, solar tracking systems have grown in popularity. However, erratic weather conditions, like cloudy or overcast days, change the panel's preferred orientation. On sunny days, the panel is turned to face the sun's radiation; however, on cloudy or overcast days, diffused radiation alters the optimal position. This has increased the necessity for new search algorithms that control the orientation of the panel to generate the most power feasible regardless of the weather conditions. This study aims at developing a sun-tracking system that can adjust the solar panel's orientation to generate the maximum possible electrical output from solar energy in Jordan, regardless of the local climate. To achieve this; a hybrid controller has been created that combines an open-loop sun monitoring system with a dynamic feedback controller built on an active search algorithm. The suggested algorithm is built on the real-time measurement of the PV panels' waning solar irradiance by using small solar cell 0.6 W. The system switches to the recently proposed circular path finding method to locate the Maximum Power Point Tracking (MPPT) if the instantaneous irradiance level falls below a predetermined threshold (DNI irradiance). As a result of the testing phase, the generated power of a solar panel increased by about 35%, confirming the effectiveness of the newly proposed sun tracker hybrid control system. During experimental test, positive irradiance current noises are appeared, using average filter taking the mean of 100 values for one measurement. keywords : Solar tracking ,Hybrid control, Searching path, Photovoltaic panels, Maximum power, point tracking | |
| dc.identifier.citation | Al-Othman, A., Younes, T., Al-Adwan, I., Al Khawaldah, M., Alauthman, H., Alkhedher, M., & Ramadan, M. (2023). An experimental study on hybrid control of a solar tracking system to maximize energy harvesting in Jordan. Solar Energy, 263, 111931. | |
| dc.identifier.doi | https://doi.org/10.1016/j.solener.2023.111931 | |
| dc.identifier.uri | https://dspace.adu.ac.ae/handle/1/736 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.title | An experimental study on hybrid control of a solar tracking system to maximize energy harvesting in Jordan | |
| dc.type | Article |