Analysis of the Solar Charge Controller using ABCD Framework

Abstract

Purpose: The renewable energy is getting more and more popular today due to various factors including the benefits of the energy system, contribution to the environment in zero pollution, and flexible adoption for both domestic as well as the industry. Among the various renewable energy sources, the most popular is solar energy which can be easily installed. This type of renewable energy is more popular today. The performance of the solar energy system is affected by the availability of sunlight, the battery backup, and the load. Thus, the efficiency of the solar energy system depends on the above factors. It is very important that every solar energy system needs a charge controller to increase the efficiency of the total system. The solar charge controller has to control the charge stored in the battery backup, load, and switching concepts. A new model of the solar charge controller by the name smart switch is suggested which could improve the efficiency of solar energy by taking smart decisions in charging the battery backup, supplying the solar energy to the load when the battery is getting full, and then managing the energy storage in the battery backup, etc.

Design/Methodology/Approach: Developing a conceptual theoretical model by the name smart switch and studying the performance of the same by taking the values in different time intervals. Then analysis of the model is done using the ABCD framework.

Findings/Results: The performance of the model is studied by considering the values at various time intervals and the observations are noted in the tabular format. The values entered in the table are from the theoretical performance of the smart switch-a modified solar charge controller. From the table it is proved that the performance of the model is found to be optimal. The performance of the smart switch is analyzed using the ABCD framework.

Originality/Value: A new conceptual model is analyzed using ABCD framework by identifying the determinant issues and key attributes for each determinant issue. This analysis is proven to be adaptable in future technology.

Paper Type: Conceptual Research.