Mohamed Nageh, Mohamed Nageh and Abdullah, Md. Pauzi and Yousef, Belal (2022) Estimation of energy gain improvement of various tracking techniques for LSS photovoltaic system. In: 2022 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2022, 25 June 2022, Shah Alam, Malaysia.
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Official URL: http://dx.doi.org/10.1109/I2CACIS54679.2022.981547...
Abstract
The produced electrical energy from a solar photovoltaic (PV) system can be increased via using manual or auto solar tracking strategy. Generally, compared with the fixed solar system, the auto dual (two) axis tracker will give the highest energy output improvement, followed by the auto single (one) axis tracker then the manual adjusted tilt angle (monthly and seasonally) solar system's respectively. However, the magnitude of the improvement varies from one location to another location due to the latitude angle difference between them. The improvement can be high at one location, but its low at another location. Thus, an exhaustive simulation analysis for each strategy is needed to be conducted before their energy output improvement can be determined for a specific location. Not only it will be time consuming, but also it will be impossible for a person with no PV simulation tool skills to perform this task. This research presents a simpler method for estimating the generated energy performance (the energy gain, %) of the large scale solar (LSS) system for various tracking strategies. The mathematical equations are developed from the exhaustive simulation results. The proposed method is tested on (12 selected cites) that included in our research recently as well as it also tested on another (two new cities) with the main error (between 0.0% and 0.56%) is observed.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Auto Dual (Two) Axis, Auto Single (One) Axis, Manual Month Settled, Manual Seasonal settled and LSS Optimal Tilt Angle |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 98860 |
Deposited By: | Widya Wahid |
Deposited On: | 02 Feb 2023 09:52 |
Last Modified: | 02 Feb 2023 09:52 |
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