Solar Energy Harnessing Optimization Algorithm in a Robotic Solar Tracker with Arduino Based Monitoring System
Mirafe R. Prospero1, Neil P. Balba2, Ricky V. Bustamante3, Gerby R. Muya4
1Prof. Mirafe R. Prospero, Department of Computer Studies, Lyceum of the Philippines-Laguna, Calamba City, Philippines,
2Dr. Neil P. Balba, Department of Computer Studies & Engineering, Lyceum of the Philippines-Laguna, Calamba City, Philippines,
3Ricky V. Bustamante, PECE, Department of Engineering, Lyceum of the Philippines-Laguna.
4Dr. Gerby R. Muya, Research Department, Lyceum of the Philippines-Laguna.
Manuscript received on 04 July 2019 | Revised Manuscript received on 08 July 2019 | Manuscript published on 30 August 2019 | PP: 1275-1279 | Volume-8 Issue-10, August 2019 | Retrieval Number: I7541078919/2019©BEIESP | DOI: 10.35940/ijitee.I7541.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Solar power although an abundant source of renewable energy must be utilized properly. One of the main factors to optimize its benefits is the capacity of the consumers to efficiently channel its power. The motivational factor of this endeavor is creating a robotic sunlight tracker system in harnessing solar radiant to its optimum potential in the Philippine setting, where sun’s insolation is low on the average due to the factors affecting climate conditions (like temperature, rainfall, storminess, winds, etc.).The study developed a prototype robotic sun tracker that is operated by a microcontroller using the sun’s perpendicularity and shadowing techniques in the design of the mechanism that injected an intelligent comparator algorithm. A motor control method was used to execute the best turn to harness the optimum solar energy with an Arduino based monitoring system that measured the voltages obtained from each of the set-ups. The result was a 29% improvement in generating electricity using the robotic sun tracker system versus static panel installation.
Keywords: Arduino based monitoring system, microcontroller, robotic sun tracker, shadowing technique, solar radiant
Scope of the Article: Renewable Energy Technology