Week 14 (28th Oct 2019 - 1st Nov 2019)

For week 14, I search the future work that related to my project.

Future Work


Figure 2.4: Design and Implementation of Automated Solar Tracking System
This project proposes an algorithm to detect the sun’s location and implement this control algorithm on a single solar tracking system with single axis. The tracker consists of a photovoltaic panel and adjusts its surface to the right angle to the sun in order to obtain as much photonic energy as possible to turn it into electrical energy. Solar power is one of renewable energy’s most traditional sources. The sun’s energy is infinite. But the main challenge remains in effectively optimizing the amount of energy to absorb the rays from the sun and directly convert energy to electricity. The introduction of a solar tracking system for solar panels is one way to increase performance. This is done to ensure that the sun’s rays fall perpendicularly on the solar panel and collect the full solar energy available. The sensors tracks the sun’s course regularly throughout the day so that the top of the board is always facing the sun. All work performed by the solar tracking system up to these days is based on virtually the same location sensing principle. Traditionally, monitoring is achieved using various sensor types that sense the sun location. Instead of standard algorithms, this paper proposes a special solar tracking algorithm. Unlike the use of photo-conductors, light detection resistors or photodiode, these can not operate independently and this new type of sensing algorithm includes voltage bias based on solar panel induced voltage. When light rays land on it, the solar panel produces voltage. The voltage produced varies with the change in the angle of light incident. It measures the direction of the sun by measuring the relative change in the angle of solar incidence. The plan also proposes using a low-power microprocessor (such as ATmega32) to keep the overall system going. The proposed design therefore simplifies solar monitoring operations and reduces operational and maintenance costs.
Conclusion:

I have compile the future work with the previous work in Chapter 2. I also able to complete the whole Chapter 2 which is Literature Review

Comments

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