
Performance of Multi Axis Sun Tracking System of Battery Charging Optimizing for Amphibian Research Crawler
Author(s) -
W. M. Dahalan*,
N.Nabilah. Ismail,
M.K. Puteri Zarina,
A.G. Othman,
N.M. Salih,
Ahmad Shukri Yahaya,
Shamsol A.Z
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l3993.1081219
Subject(s) - photovoltaic system , renewable energy , battery (electricity) , tracking (education) , computer science , solar tracker , tracking system , dc motor , solar energy , electrical engineering , voltage , automotive engineering , simulation , power (physics) , engineering , artificial intelligence , physics , psychology , pedagogy , quantum mechanics , kalman filter
In today’s modernization era, there are various technologies being invented to adapt to daily routines. In the growing years, technology has become more complex. Development in the renewable energy is no exception indeed to sustain the demand for energy. This paper discusses a source of renewable energy that focuses solely on solar. This model was presented by developing a tracking system consisting of single and dual axis tracking systems. The purpose of this model is to analyze the performance of the whole system. The tracking system is designed based on the position of the sun in the morning, noon and night. The system will move toward the maximum light energy received as detected by the Light Dependent Resistor sensor (LDR).The results obtained show that the dual axis sun tracking system is more efficient than single axis due to the rotation in four directions while single axis only rotates along two directions which are east and west. The Voltage Boost Converter DC-DC Step up Module is used to maximize the power output. This idea will increase the power of battery charging optimization for Amphibian Research Crawler