Automated Water Cooling and Solar Tracking for Efficiency Improvement of PV Systems: A Systematic Review
(1) Ahmed Hassan Hamed Mail (South Valley University, Egypt)
(2) * Abdel-Nasser Sharkawy Mail (1) Department of Mechanical Engineering, Faculty of Engineering, South Valley University, Qena, 83523, Egypt. 2) Mechanical Engineering Department, College of Engineering, Fahad Bin Sultan University, Tabuk 47721, Saudi Arabia)
(3) I. Hamdan Mail (1) Department of Electrical Engineering, College of Engineering and Information Technology, Buraydah Private Colleges, Buraydah 51418, Kingdom of Saudi Arabia. 2) Department of Electrical Engineering, Faculty of Engineering, South Valley University, Qena 83523, Egypt)
(4) Hussein M. Maghrabie Mail (South Valley University, Egypt)
*corresponding author

Abstract


This article presented previous efforts for overcoming low photovoltaic (PV) solar panel electrical efficiencies resulted from excess heat problem reached in hot climates. Utilizing water cooling, temperature-controlled water cooling and solar tracking solar systems are discussed in this paper. Water is a perfect medium can be used for absorbing excess heat due to its high thermal capacity, availability and low cost. In addition to, utilizing control systems for water cooling systems based on Arduino unit and microcontroller chip which can be interfaced with Bluetooth, WIFI, and Internet of Things (IOT) enhances saving time and effort in large PV solar plants and PV performance. Solar tracking systems, depend on light-dependent resistors (LDRs) which are resistors operated by incident light, or ultraviolet (UV) sensors which are detectors based on incident ultraviolet radiation sensing enhances PV performance. Solar tracking systems enhances PV electrical efficiency compared to fixed PV panels. PV efficiencies of latest studies were presented and compared. Utilizing water cooling systems enhances PV electrical efficiency up to 30%, using an ON-OFF temperature-controlled water-cooling systems increased overall efficiency up to 51.4% and can reduce consumption of water up to 29.28%. In addition to, using two solar tracking systems enhances PV solar panel efficiency up to 65%. The increase in PV installation faces challenges includes millions of solar waste tons that harms environment and human health. However, it can be eliminated utilizing recycling technologies. Artificial intelligence (AI), machine learning techniques would enhance PV performance analyzing and data collection.

Keywords


Systematic Review; PV Systems; Electrical Efficiency Improvement; Automated Cooling System; Solar Tracking System; Control Systems

   

DOI

https://doi.org/10.31763/ijrcs.v4i4.1642 		      

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10.31763/ijrcs.v4i4.1642 Abstract views : 426 | PDF views : 41

   

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