PVT panel efficiency enhancement with cooling methods and sun tracking

Author:

D. Kameswara Rao1,K. Sudhakar Reddy1,V. V. Subba Rao2,Ankamma K.2

Affiliation:

1. Mahatma Gandhi Institute of Technology

2. Jawaharlal Nehru Technological University

Abstract

Solar energy is the most abundant and easily available renewable source of electricity. However, the installed solar panels may not always provide the optimal amount of energy because of the changing position of the sun from east to west. This study focused on extending the research and development of a model for a dual-axis solar panel tracking system with a cooling mechanism. The primary objective of this mechanism is to program the Arduino board in a way that ensures continuous alignment of the panel direction and Light-Dependent Resistor (LDR) sensors with the sun's rays. Direct Current (DC) motors were employed to adjust the panel direction accordingly. Sustained exposure to sunlight can lead to reduced efficiency when the panel is heated. To counteract overheating, an improved cooling system was implemented utilizing water and a pump arrangement to enhance the productivity of the panel. Water is sprayed or sprinkled using various Pulse Code Modulation (PCM) techniques, effectively maintaining the solar panel temperature at an optimal level. This mechanism can be enhanced by integrating a Real-Time Clock (RTC) to accurately track the direction of the sun. This ensures that the panel remains properly positioned even in the event of a power outage, enabling the utilization of solar energy for electrical purposes. This research focuses on developing an efficient solar panel tracking system with a cooling mechanism to maximize the energy output and address temperature-related efficiency issues. The integration of advanced features such as RTC further enhances the reliability and usability of the system.

Publisher

i-manager Publications

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3