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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 481
Design of The Cooling System for Optimizing the Performance of Solar
Panel
Abdul Qayyum 1, Shilpa Mondkar2,
1 Student, Dept. of Mechanical Engineering, Pillai College of Engineering, Maharashtra, India
2 Professor, Dept. of Mechanical Engineering, Pillai College of Engineering, Maharashtra, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - There is a persistent need for further
development and implementation of renewable energy
sources, such as wind and solar. Due to the increase in
global population, the disappearance of fossil fuels, and
the reality of climate change, renewable powerisneeded
now more than ever. These modules work via siliconcells
which are as semiconductors, outputting electrical
energy when incident with solar radiation. This is done
by separating electrons and protons within the cell.
Additionally, the lifespan of a PV system is significantly
reduced as a result of cell degradation due to excess
thermal stress. For this project, I have modeled,
prototyped, and tested three cooling systems for PV
modules. Two of the cooling systems are passive, non-
power consuming. One simply consisting of a large
Acrylic tank centeredon the backside of the module, and
the other consisting of a combination of copper heat
pipes and the same aluminum heat sink. The third
system consisted of a water-cooling methodwherewater
was pumped over the working surface of the module
from a reservoir,being evenly spread across theworking
surface through a perforated tube.
1.INTRODUCTION
1.1 Operating Principle
Photovoltaics directly convert solar radiation into electricity.
Eachcell iscomprised of layersof a semiconducting material,
p and n-Type. When incident with light, the cell enacts an
electric field between layers, resulting in an output voltage
and current. The cells are either polycrystalline, made up of
pieces from numerous silicon crystals, or monocrystalline,
which are cut from a single large crystal. That process of
conversion take place with addition of heat which increases
the PV cell temperature, which later transferred into the
water through copper plate. As the temperature of PV cell
increases the water temperature increases. As the water
surface which is in contact with plate getting warmer and
warmer it starts to moving through copper pipe which is
submerged in a water in enclosed earthen pot.
Fig – 1: Illustration of Solar Cooling System
Chart – 1: Temperature vs output graph
Ref: K.A. Moharram, M.S. Abd-Elhady, H.A. Kandil,
PV,
photovoltaic, is just one of numerous promising
renewable power generations methods. Unfortunately,
PV cell technologyperformance is sensitiveto operating
temperature. Since power is generated via silicon cells
which is semiconductor material, outputting electric
power when incident with solar radiation. Like all
semiconductors as the operating temperature increase
s, the output voltage drastically decreases despite a
slight increase in the output current resulting in an
overall significant reduction in power production and
module efficiency. Photovoltaics global potential, as a
primary power source, is dependent upon designing
more efficient PV systems. Creating immense interest
within the scientific community in possible PV cooling
over the last 40 year
This document is template. The growing acceptance of
climate change as a real and present danger all life on
Earth. All of these factors have caused a huge increase
intheinvestmentofrenewablepoweroptions.Solar
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 482
Experimental Readings (Without cooling system) (Avg. Value)
Date Solar Plate (.c)
Current
(A)
POWER (W)
28/10/22 70.33 0.84 5.06
Table -1: experimental readings
2. LITREATURE REVIEW
Manyacademics have recentlystarted looking at solarpanels
and techniques to harvest thermal energy from them.
Numerous research using thefront and back sides of thecells
forcooling hasbeen explored ina number of studies. Several
attempts have been documented to control the temperature
of PV panels using air, water, piezoelectric materials, and
other methods. Solar panels' efficiency degrades asa resultof
absorbed heat; hence solar panel cooling is critical.
1. Mohsin Jamil et al. In 2014 presented the possibility of
extraction of thermal energy from the panels using water.
Their research shows The results of the experiment for
improving efficiency of solar panel using mirrors andcooling
were come out to be highly encouraging. Using mirrors plus
cooling is better than the other two as efficiency is
approximately 52%
2. K.A. Moharram, et al. In 2013 reported performance
enhancement by cooling of photovoltaic panels. System for
cooling was designed and developed using water as coolant.
Thecooling systemwascombined through solarphotovoltaic
panels to form hybrid system. Cooling agent for cooling the
solar panels i.e. water, was continually circulated in the
region of the PV panels. The high temperature water
generated from the system can be used for
variety of household applications.
3. Fahad Al-Amri, et al. In 2020 reported performance
enhancement by cooling of photovoltaic panels. System for
cooling was designed and developed using passive cooling.
Thecooling system wascombined through solarphotovoltaic
panels to form hybrid system. The system used for cooling
the solar panels i.e. heat sink in addition with PCM material.
4. Barbara Swatowska, etal. In 2011 designed and developed
a hybrid type Silicon cell solar system. He investigated That
reflection coefficient can be reduced by covering the top of
the solar panel surface by antireflective coatings and also
discuss the effect of thickness of ARC on solar
5. A. Ibrahim et al. In 2011 presented comprehensive
simulation studies. In their research they have studied the
relation of solar panel efficiency and operating temperature
in outdoor atmosphere. Cold temperatures produce more
efficient photo conversionfor single-crystal solar panels. The
efficiency for single-crystal solar panel decreases as the
operating temperatureof cellsincreases.Itis reportedin the
literature thatthe decreasein the efficiency isapproximately
0.06 in absolute value per ˚C increase
6. F.M. Gaitho et al. In 2009 reported that the efficiency of
single crystal silicon solar panel very much depends on the
thermal system of the entire cell, the main factor being
thermal conductivity, which is greatly seen to vary with
temperature. The efficiency of this cell is optimum when its
output is at its highest value at a nominal operating cell
temperature of 312 K.
7. Y M Irwan, et al. In 2015 compared air and water cooling
methods and found out that water as cooling agent is much
better compared toair. Forconstantairmovement theyused
fan and water pump was used to maintain circulation of
coolant on the reverse side and front side of PV module
respectively. Temperature detection of PV Temperaturewas
carriedby sensorswhichwere installed on thePVmodule.To
automatically switch ON or OFF fan and water pump was
connected to PIC microcontroller.
8. Manel Hammami, et al. In 2017 reported despite the
cooling air gap, there is a remarkable PV cell temperature
increase introduced by the back side batteries, estimated at
20–25 °C for the PV cells on the battery area.
Fig -2: Thermal Analysis of solar plate by
Ref: Manel Hammami
Fig -3: Thermal Analysis of solar plate by
Ref: Manel Hammami
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 483
3. CAD Modelling and Material selection
Fig -5: Cooling Chamber
3.3 Tank
Fig -4: CAD model of The Cooling System
To prepare any machine part, the type of material should be
properly selected by considering design,safetyandfollowing
points:
Theselection of material for engineering applicationisgiven
by the following
Factors: -
1) Suitability of thematerial for the requiredcomponents.
2) Suitability of the material for the desired conditions.
3) Availability of materials.
4) Cost of the materials.
3.1 Coolant
The coolant which we selected for this experiment is
Water.
Thermal conductivity (W/mk) 0.61
Density 997
Dynamic Viscosity 0.89
Heat Capacity 4.2
Table 3.1.1: Thermophysical Property of Liquid Used
3.2 Cooling Chamber
Cooling chamber used here is made of mud and POP as it
has porous surface and can perform capillary action and
keeps the water cool which is stored inside.
Fig -6: Acrylic
3.4 Pipes
Pipes which is used here are of copper as it is a good
thermal conductor.
Fig -7: Copper Pipe
Tank is made of Acrylic, as Acrylic is much economical
compared to any other metal and also put good resistance
to outside heat
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 484
3.5 Prototype
Fig -8: Prototype
4. Experimental Observation
From October/28/2022, until November/4/2022, we
conductedanexperiment to obtainthemostaccuratereading
possible. The resultsare highly encouraging, and the reading
we obtained during this experiment is listed below.
Location Navi Mumbai, Panvel
Range of temperature in
day
28 C to 36 C
Atmospheric pressure 1 Bar
Local time of conducting
the experiment
12.00 PM IST
Table -4.1: Geographical Condition of area
DATE TIME Plate Temp (C) water temp (C) Current (A) Voltage (V) Power(W) outside temp (C)
28-Oct-22 12:00 54 0 0.87 6 5.2 30
28-Oct-22 12:30 61 0 0.87 6 5.2 32
28-Oct-22 01:00 68 0 0.85 6 5.1 33
28-Oct-22 01:30 73 0 0.87 6 5.2 33
28-Oct-22 02:00 76 0 0.85 6 5.1 34
28-Oct-22 02:30 77 0 0.80 6 4.8 34
28-Oct-22 03:00 75 0 0.83 6 5 32
28-Oct-22 03:30 75 0 0.83 6 5 31
28-Oct-22 04:00 74 0 0.83 6 5 30
AVG. 70.33333333 0 0.84 5 .066666667 32.11111111
Table -4.2: experimental readings (Without Water)
Date TIME Plate Temp ( C ) water temp (C ) Current (A) Voltage (V) Power (W) outside temp ( C )
29-Oct-22 12:00 50 26 0.87 6 5.2 31
29-Oct-22 12:30 58 31 0.87 6 5.2 31
29-Oct-22 01:00 65 36 0.88 6 5.3 34
29-Oct-22 01:30 67 37 0.90 6 5.4 34
29-Oct-22 02:00 66 40 0.90 6 5.4 33
29-Oct-22 02:30 65 42 0.92 6 5.5 32
29-Oct-22 03:00 68 42 0.88 6 5.3 32
29-Oct-22 03:30 67 40 0.87 6 5.2 31
29-Oct-22 04:00 67 38 0.87 6 5.2 30
AVG. 63.66666667 36.88888889 0.88 5.3 32
Table -43.: experimental readings (Without Water)
Date TIME Plate Temp ( C) water temp (C) Current (A) Voltage (V) Power (P) outside temp (C)
30-Oct-22 12:00 52 26 0.88 6 5.3 29
30-Oct-22 12:30 55 29 0.88 6 5.3 29
30-Oct-22 01:00 60 33 0.88 6 5.3 34
30-Oct-22 01:30 66 37 0.88 6 5.3 34
30-Oct-22 02:00 67 40 0.90 6 5.4 35
30-Oct-22 02:30 67 43 0.90 6 5.4 34
30-Oct-22 03:00 65 44 0.88 6 5.3 32
30-Oct-22 03:30 64 40 0.87 6 5.2 30
30-Oct-22 04:00 61 39 0.87 6 5.2 30
AVG. 61.88888889 36.77777778 0.88 5.3 31.88888889
Table -4.4: experimental readings (Without Water)
Date Time Plate Tempe (C) Water Temp (C) Current (A) Voltage (V) Power (W) outside temp ( C)
31-10-2022 12:00 50 28 0.88 6 5.3 30
31-10-2022 12:30 56 30 0.88 6 5.3 31
31-10-2022 01:00 58 31 0.90 6 5.4 33
31-10-2022 01:30 62 35 0.90 6 5.4 34
31-10-2022 02:00 64 41 0.90 6 5.4 36
31-10-2022 02:30 65 43 0.88 6 5.3 34
31-10-2022 03:00 63 38 0.87 6 5.2 34
31-10-2022 03:30 63 37 0.87 6 5.2 33
31-10-2022 04:00 60 34 0.87 6 5.2 31
AVG. 60.11111111 35.22222222 0.88 5.3 32.88888889
Table -4.5: experimental readings (With Water)
Date TIME outside temp ( C ) water temp ( C) Current (A) Voltage (V) Power (W) outside temp ( C )
01-Nov-2022 12:00 49 28 0.90 6 5.4 30
01-Nov-2022 12:30 56 32 0.87 6 5.2 30
01-Nov-2022 01:00 61 35 0.88 6 5.3 34
01-Nov-2022 01:30 65 39 0.92 6 5.5 34
01-Nov-2022 02:00 68 43 0.92 6 5.5 33
01-Nov-2022 02:30 67 42 0.90 6 5.4 32
01-Nov-2022 03:00 64 42 0.88 6 5.3 31
01-Nov-2022 03:30 60 41 0.87 6 5.2 31
01-Nov-2022 04:00 56 37 0.85 6 5.1 30
AVG. 60.66666667 37.66666667 0.89 5.3 31.67
Table -4.6: experimental readings (With Water)
Date Time Plate Tempe (C) Water Temp (C) Current (A) Voltage (V) Power (W) outside temp ( C)
02-Nov-22 12:00 50 30 0.90 6 5.4 32
02-Nov-22 12:30 53 32 0.88 6 5.3 33
02-Nov-22 01:00 59 36 0.87 6 5.2 33
02-Nov-22 01:30 67 36 0.88 6 5.3 35
02-Nov-22 02:00 76 41 0.90 6 5.4 35
02-Nov-22 02:30 77 45 0.92 6 5.5 34
02-Nov-22 03:00 75 45 0.90 6 5.4 32
02-Nov-22 03:30 73 41 0.90 6 5.4 31
02-Nov-22 04:00 70 39 0.90 6 5.4 31
AVG. 66.66666667 38.33333333 0.89 5.366666667 32.88888889
Table -4.7: experimental readings (With Water)
Date Time Plate Tempe (C) Water Temp (C) Current (A) Voltage (V) Power (W) outside temp ( C)
03-Nov-22 12:00 53 30 0.87 6 5.2 30
03-Nov-22 12:30 56 34 0.90 6 5.4 34
03-Nov-22 01:00 63 38 0.90 6 5.4 36
03-Nov-22 01:30 67 40 0.90 6 5.4 36
03-Nov-22 02:00 71 43 0.88 6 5.3 35
03-Nov-22 02:30 68 45 0.88 6 5.3 35
03-Nov-22 03:00 66 44 0.88 6 5.3 33
03-Nov-22 03:30 62 40 0.87 6 5.2 33
03-Nov-22 04:00 60 37 0.87 6 5.2 33
AVG. 62.88888889 39 0.88 5.3 33.88888889
Table -4.8: experimental readings (With Water)
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 485
Date Time Plate Tempe (C) Water Temp (C) Current (A) Voltage (V) Power (W) outside temp ( C)
05-Nov-22 12:00 53 32 0.87 6 5.2 33
05-Nov-22 12:30 56 32 0.90 6 5.4 34
05-Nov-22 01:00 63 38 0.90 6 5.4 36
05-Nov-22 01:30 67 46 0.88 6 5.3 37
05-Nov-22 02:00 71 49 0.87 6 5.2 36
05-Nov-22 02:30 70 45 0.88 6 5.3 35
05-Nov-22 03:00 68 45 0.88 6 5.3 34
05-Nov-22 03:30 62 43 0.88 6 5.3 33
05-Nov-22 04:00 60 41 0.87 6 5.2 31
63.33333333 41.22222222 0.88 5.288888889 34.33333333
Table -4.9: experimental readings (With Water)
4. Summary of conclusion
1. From the above experiment we can safely conclude
that when there is no activecooling system involve
the maximum average power output is 5.06W(Ref.
Table 4.1).
2. But When we start using the cooling system the
average output increases to 5.3W also the average
current output is also increased to 0.9 (Ref. Table
4.2 to Table 4.10).
3. Apart from that the average maximum temperature
attained by the solar plate is 71 0C while with
activated cooling system the average temperature
lies between the range of 60 0C-63 0C.
04-Nov-22 04:00 60 41 0.87 6 5.2 32
Table -4.10: experimental readings (With Water)
06-Nov-22 04:00 60 41 0.87 6 5.2 31
AVG. 63.33333333 41.22222222 0.89 5.3 34.33
Table -4.11: experimental readings (With Water)
4. After completion of the experiment the average
power output increases by 7%.
5. Average Maximum temperature decreases by 8 0C
which can prevent cell degradation and increases
the life expectancy of solar plate.
6. The above mention are short term advantages that
we have seen during the experiment, for more
accurate outcomes we have to expand the duration
of course.
5.ACKNOWLEDGEMENT (Optional)
6.REFERENCES
[1] Fahad Al-Amri, Taher S. Maatallah, Omar F. Al-Amri Sajid
Ali, Sadaqat Ali, Ijlal ShahrukhAteeq, RichuZachariah,Tarek
S. Kayed Innovative technique for achieving uniform
temperatures across solar panels using heat pipesandliquid
immersion cooling in the harsh climate in the Kingdom of
Saudi Arabia Alexandria Engineering Journal (2022) 61,
1413–1424
[2] K.A. Moharram, M.S. Abd-Elhady, H.A. Kandil, H. El-Sherif
Enhancing the performance of photovoltaic panels bywater
cooling, Ain Shams Engineering Journal (2013),
Ain Shams Engineering Journal (2013) 4, 869–877
[3] A. Ibrahim Analysis of Electrical Characteristics of
Photovoltaic Single Crystal Silicon Solar Cells at Outdoor
Measurements, Smart Grid and Renewable Energy, 2011, 2,
169-175
[4] Manel Hammami Simone Torretti, Francesco Grimaccia
and Gabriele Grandi Thermal and Performance Analysis of a
Current (A)
Current (A)
The authors sincerely appreciate the technical assistance
offered by the Prof. Shilpa Mondkar and Department of
Mechanical Engineering, MES Pillai College of Engineer
Photovoltaic Module with an Integrated Energy Storage
System, IEEE Trans. Energy Convers. 2015, 30, 1386–1396
[5] Rizwan Arshad, Salman Tariq, Muhammad Umair Niaz,
Mohsin Jamil Improvement in solar panel efficiency using
solar concentration by simple mirrors and by cooling
2014 International Conference on Robotics and Emerging
Allied Technologies in Engineering (iCREATE)
[6] E.M.G. Rodrigues, R. Melício, V.M.F. Mendes and J.P.S.
Catalão Simulation of a Solar panel considering Single-Diode
Equivalent Circuit Model, International
Conference on renewable energies and power quality, Vol.1,
No.9, May 2011
[7] BARBARA SWATOWSKA, TOMASZ STAPINSKI,
KAZIMIERZ DRABCZYK, PIOTR PANEK The Role of
Antireflection Coatings in Silicon Solar Cells – The
Influence on Their Electrical Parameters
Optica Applicata, Vol. XLI, No. 2, 2011
[8] F.M. Gait ho, F.G. Ndiritu, P.M. Muriithi, R.G. Ngumbu, J.K.
Ngareh Effect of thermal conductivity on the efficiency of
single crystal silicon solar cell coated with an
anti-reflective thin film Science direct Solar
Energy 83(8):1290-1293
[9] AnkitS. Gujrathi, Sudhir U. Patil, Sachin P. Ingale Analysis
of Solar Photovoltaic Thermal System with air cooling
Special Issue – ICRTET-2018 ISSN: 2454-9150

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Design of The Cooling System for Optimizing the Performance of Solar Panel

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 481 Design of The Cooling System for Optimizing the Performance of Solar Panel Abdul Qayyum 1, Shilpa Mondkar2, 1 Student, Dept. of Mechanical Engineering, Pillai College of Engineering, Maharashtra, India 2 Professor, Dept. of Mechanical Engineering, Pillai College of Engineering, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - There is a persistent need for further development and implementation of renewable energy sources, such as wind and solar. Due to the increase in global population, the disappearance of fossil fuels, and the reality of climate change, renewable powerisneeded now more than ever. These modules work via siliconcells which are as semiconductors, outputting electrical energy when incident with solar radiation. This is done by separating electrons and protons within the cell. Additionally, the lifespan of a PV system is significantly reduced as a result of cell degradation due to excess thermal stress. For this project, I have modeled, prototyped, and tested three cooling systems for PV modules. Two of the cooling systems are passive, non- power consuming. One simply consisting of a large Acrylic tank centeredon the backside of the module, and the other consisting of a combination of copper heat pipes and the same aluminum heat sink. The third system consisted of a water-cooling methodwherewater was pumped over the working surface of the module from a reservoir,being evenly spread across theworking surface through a perforated tube. 1.INTRODUCTION 1.1 Operating Principle Photovoltaics directly convert solar radiation into electricity. Eachcell iscomprised of layersof a semiconducting material, p and n-Type. When incident with light, the cell enacts an electric field between layers, resulting in an output voltage and current. The cells are either polycrystalline, made up of pieces from numerous silicon crystals, or monocrystalline, which are cut from a single large crystal. That process of conversion take place with addition of heat which increases the PV cell temperature, which later transferred into the water through copper plate. As the temperature of PV cell increases the water temperature increases. As the water surface which is in contact with plate getting warmer and warmer it starts to moving through copper pipe which is submerged in a water in enclosed earthen pot. Fig – 1: Illustration of Solar Cooling System Chart – 1: Temperature vs output graph Ref: K.A. Moharram, M.S. Abd-Elhady, H.A. Kandil, PV, photovoltaic, is just one of numerous promising renewable power generations methods. Unfortunately, PV cell technologyperformance is sensitiveto operating temperature. Since power is generated via silicon cells which is semiconductor material, outputting electric power when incident with solar radiation. Like all semiconductors as the operating temperature increase s, the output voltage drastically decreases despite a slight increase in the output current resulting in an overall significant reduction in power production and module efficiency. Photovoltaics global potential, as a primary power source, is dependent upon designing more efficient PV systems. Creating immense interest within the scientific community in possible PV cooling over the last 40 year This document is template. The growing acceptance of climate change as a real and present danger all life on Earth. All of these factors have caused a huge increase intheinvestmentofrenewablepoweroptions.Solar
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 482 Experimental Readings (Without cooling system) (Avg. Value) Date Solar Plate (.c) Current (A) POWER (W) 28/10/22 70.33 0.84 5.06 Table -1: experimental readings 2. LITREATURE REVIEW Manyacademics have recentlystarted looking at solarpanels and techniques to harvest thermal energy from them. Numerous research using thefront and back sides of thecells forcooling hasbeen explored ina number of studies. Several attempts have been documented to control the temperature of PV panels using air, water, piezoelectric materials, and other methods. Solar panels' efficiency degrades asa resultof absorbed heat; hence solar panel cooling is critical. 1. Mohsin Jamil et al. In 2014 presented the possibility of extraction of thermal energy from the panels using water. Their research shows The results of the experiment for improving efficiency of solar panel using mirrors andcooling were come out to be highly encouraging. Using mirrors plus cooling is better than the other two as efficiency is approximately 52% 2. K.A. Moharram, et al. In 2013 reported performance enhancement by cooling of photovoltaic panels. System for cooling was designed and developed using water as coolant. Thecooling systemwascombined through solarphotovoltaic panels to form hybrid system. Cooling agent for cooling the solar panels i.e. water, was continually circulated in the region of the PV panels. The high temperature water generated from the system can be used for variety of household applications. 3. Fahad Al-Amri, et al. In 2020 reported performance enhancement by cooling of photovoltaic panels. System for cooling was designed and developed using passive cooling. Thecooling system wascombined through solarphotovoltaic panels to form hybrid system. The system used for cooling the solar panels i.e. heat sink in addition with PCM material. 4. Barbara Swatowska, etal. In 2011 designed and developed a hybrid type Silicon cell solar system. He investigated That reflection coefficient can be reduced by covering the top of the solar panel surface by antireflective coatings and also discuss the effect of thickness of ARC on solar 5. A. Ibrahim et al. In 2011 presented comprehensive simulation studies. In their research they have studied the relation of solar panel efficiency and operating temperature in outdoor atmosphere. Cold temperatures produce more efficient photo conversionfor single-crystal solar panels. The efficiency for single-crystal solar panel decreases as the operating temperatureof cellsincreases.Itis reportedin the literature thatthe decreasein the efficiency isapproximately 0.06 in absolute value per ˚C increase 6. F.M. Gaitho et al. In 2009 reported that the efficiency of single crystal silicon solar panel very much depends on the thermal system of the entire cell, the main factor being thermal conductivity, which is greatly seen to vary with temperature. The efficiency of this cell is optimum when its output is at its highest value at a nominal operating cell temperature of 312 K. 7. Y M Irwan, et al. In 2015 compared air and water cooling methods and found out that water as cooling agent is much better compared toair. Forconstantairmovement theyused fan and water pump was used to maintain circulation of coolant on the reverse side and front side of PV module respectively. Temperature detection of PV Temperaturewas carriedby sensorswhichwere installed on thePVmodule.To automatically switch ON or OFF fan and water pump was connected to PIC microcontroller. 8. Manel Hammami, et al. In 2017 reported despite the cooling air gap, there is a remarkable PV cell temperature increase introduced by the back side batteries, estimated at 20–25 °C for the PV cells on the battery area. Fig -2: Thermal Analysis of solar plate by Ref: Manel Hammami Fig -3: Thermal Analysis of solar plate by Ref: Manel Hammami
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 483 3. CAD Modelling and Material selection Fig -5: Cooling Chamber 3.3 Tank Fig -4: CAD model of The Cooling System To prepare any machine part, the type of material should be properly selected by considering design,safetyandfollowing points: Theselection of material for engineering applicationisgiven by the following Factors: - 1) Suitability of thematerial for the requiredcomponents. 2) Suitability of the material for the desired conditions. 3) Availability of materials. 4) Cost of the materials. 3.1 Coolant The coolant which we selected for this experiment is Water. Thermal conductivity (W/mk) 0.61 Density 997 Dynamic Viscosity 0.89 Heat Capacity 4.2 Table 3.1.1: Thermophysical Property of Liquid Used 3.2 Cooling Chamber Cooling chamber used here is made of mud and POP as it has porous surface and can perform capillary action and keeps the water cool which is stored inside. Fig -6: Acrylic 3.4 Pipes Pipes which is used here are of copper as it is a good thermal conductor. Fig -7: Copper Pipe Tank is made of Acrylic, as Acrylic is much economical compared to any other metal and also put good resistance to outside heat
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 484 3.5 Prototype Fig -8: Prototype 4. Experimental Observation From October/28/2022, until November/4/2022, we conductedanexperiment to obtainthemostaccuratereading possible. The resultsare highly encouraging, and the reading we obtained during this experiment is listed below. Location Navi Mumbai, Panvel Range of temperature in day 28 C to 36 C Atmospheric pressure 1 Bar Local time of conducting the experiment 12.00 PM IST Table -4.1: Geographical Condition of area DATE TIME Plate Temp (C) water temp (C) Current (A) Voltage (V) Power(W) outside temp (C) 28-Oct-22 12:00 54 0 0.87 6 5.2 30 28-Oct-22 12:30 61 0 0.87 6 5.2 32 28-Oct-22 01:00 68 0 0.85 6 5.1 33 28-Oct-22 01:30 73 0 0.87 6 5.2 33 28-Oct-22 02:00 76 0 0.85 6 5.1 34 28-Oct-22 02:30 77 0 0.80 6 4.8 34 28-Oct-22 03:00 75 0 0.83 6 5 32 28-Oct-22 03:30 75 0 0.83 6 5 31 28-Oct-22 04:00 74 0 0.83 6 5 30 AVG. 70.33333333 0 0.84 5 .066666667 32.11111111 Table -4.2: experimental readings (Without Water) Date TIME Plate Temp ( C ) water temp (C ) Current (A) Voltage (V) Power (W) outside temp ( C ) 29-Oct-22 12:00 50 26 0.87 6 5.2 31 29-Oct-22 12:30 58 31 0.87 6 5.2 31 29-Oct-22 01:00 65 36 0.88 6 5.3 34 29-Oct-22 01:30 67 37 0.90 6 5.4 34 29-Oct-22 02:00 66 40 0.90 6 5.4 33 29-Oct-22 02:30 65 42 0.92 6 5.5 32 29-Oct-22 03:00 68 42 0.88 6 5.3 32 29-Oct-22 03:30 67 40 0.87 6 5.2 31 29-Oct-22 04:00 67 38 0.87 6 5.2 30 AVG. 63.66666667 36.88888889 0.88 5.3 32 Table -43.: experimental readings (Without Water) Date TIME Plate Temp ( C) water temp (C) Current (A) Voltage (V) Power (P) outside temp (C) 30-Oct-22 12:00 52 26 0.88 6 5.3 29 30-Oct-22 12:30 55 29 0.88 6 5.3 29 30-Oct-22 01:00 60 33 0.88 6 5.3 34 30-Oct-22 01:30 66 37 0.88 6 5.3 34 30-Oct-22 02:00 67 40 0.90 6 5.4 35 30-Oct-22 02:30 67 43 0.90 6 5.4 34 30-Oct-22 03:00 65 44 0.88 6 5.3 32 30-Oct-22 03:30 64 40 0.87 6 5.2 30 30-Oct-22 04:00 61 39 0.87 6 5.2 30 AVG. 61.88888889 36.77777778 0.88 5.3 31.88888889 Table -4.4: experimental readings (Without Water) Date Time Plate Tempe (C) Water Temp (C) Current (A) Voltage (V) Power (W) outside temp ( C) 31-10-2022 12:00 50 28 0.88 6 5.3 30 31-10-2022 12:30 56 30 0.88 6 5.3 31 31-10-2022 01:00 58 31 0.90 6 5.4 33 31-10-2022 01:30 62 35 0.90 6 5.4 34 31-10-2022 02:00 64 41 0.90 6 5.4 36 31-10-2022 02:30 65 43 0.88 6 5.3 34 31-10-2022 03:00 63 38 0.87 6 5.2 34 31-10-2022 03:30 63 37 0.87 6 5.2 33 31-10-2022 04:00 60 34 0.87 6 5.2 31 AVG. 60.11111111 35.22222222 0.88 5.3 32.88888889 Table -4.5: experimental readings (With Water) Date TIME outside temp ( C ) water temp ( C) Current (A) Voltage (V) Power (W) outside temp ( C ) 01-Nov-2022 12:00 49 28 0.90 6 5.4 30 01-Nov-2022 12:30 56 32 0.87 6 5.2 30 01-Nov-2022 01:00 61 35 0.88 6 5.3 34 01-Nov-2022 01:30 65 39 0.92 6 5.5 34 01-Nov-2022 02:00 68 43 0.92 6 5.5 33 01-Nov-2022 02:30 67 42 0.90 6 5.4 32 01-Nov-2022 03:00 64 42 0.88 6 5.3 31 01-Nov-2022 03:30 60 41 0.87 6 5.2 31 01-Nov-2022 04:00 56 37 0.85 6 5.1 30 AVG. 60.66666667 37.66666667 0.89 5.3 31.67 Table -4.6: experimental readings (With Water) Date Time Plate Tempe (C) Water Temp (C) Current (A) Voltage (V) Power (W) outside temp ( C) 02-Nov-22 12:00 50 30 0.90 6 5.4 32 02-Nov-22 12:30 53 32 0.88 6 5.3 33 02-Nov-22 01:00 59 36 0.87 6 5.2 33 02-Nov-22 01:30 67 36 0.88 6 5.3 35 02-Nov-22 02:00 76 41 0.90 6 5.4 35 02-Nov-22 02:30 77 45 0.92 6 5.5 34 02-Nov-22 03:00 75 45 0.90 6 5.4 32 02-Nov-22 03:30 73 41 0.90 6 5.4 31 02-Nov-22 04:00 70 39 0.90 6 5.4 31 AVG. 66.66666667 38.33333333 0.89 5.366666667 32.88888889 Table -4.7: experimental readings (With Water) Date Time Plate Tempe (C) Water Temp (C) Current (A) Voltage (V) Power (W) outside temp ( C) 03-Nov-22 12:00 53 30 0.87 6 5.2 30 03-Nov-22 12:30 56 34 0.90 6 5.4 34 03-Nov-22 01:00 63 38 0.90 6 5.4 36 03-Nov-22 01:30 67 40 0.90 6 5.4 36 03-Nov-22 02:00 71 43 0.88 6 5.3 35 03-Nov-22 02:30 68 45 0.88 6 5.3 35 03-Nov-22 03:00 66 44 0.88 6 5.3 33 03-Nov-22 03:30 62 40 0.87 6 5.2 33 03-Nov-22 04:00 60 37 0.87 6 5.2 33 AVG. 62.88888889 39 0.88 5.3 33.88888889 Table -4.8: experimental readings (With Water)
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 485 Date Time Plate Tempe (C) Water Temp (C) Current (A) Voltage (V) Power (W) outside temp ( C) 05-Nov-22 12:00 53 32 0.87 6 5.2 33 05-Nov-22 12:30 56 32 0.90 6 5.4 34 05-Nov-22 01:00 63 38 0.90 6 5.4 36 05-Nov-22 01:30 67 46 0.88 6 5.3 37 05-Nov-22 02:00 71 49 0.87 6 5.2 36 05-Nov-22 02:30 70 45 0.88 6 5.3 35 05-Nov-22 03:00 68 45 0.88 6 5.3 34 05-Nov-22 03:30 62 43 0.88 6 5.3 33 05-Nov-22 04:00 60 41 0.87 6 5.2 31 63.33333333 41.22222222 0.88 5.288888889 34.33333333 Table -4.9: experimental readings (With Water) 4. Summary of conclusion 1. From the above experiment we can safely conclude that when there is no activecooling system involve the maximum average power output is 5.06W(Ref. Table 4.1). 2. But When we start using the cooling system the average output increases to 5.3W also the average current output is also increased to 0.9 (Ref. Table 4.2 to Table 4.10). 3. Apart from that the average maximum temperature attained by the solar plate is 71 0C while with activated cooling system the average temperature lies between the range of 60 0C-63 0C. 04-Nov-22 04:00 60 41 0.87 6 5.2 32 Table -4.10: experimental readings (With Water) 06-Nov-22 04:00 60 41 0.87 6 5.2 31 AVG. 63.33333333 41.22222222 0.89 5.3 34.33 Table -4.11: experimental readings (With Water) 4. After completion of the experiment the average power output increases by 7%. 5. Average Maximum temperature decreases by 8 0C which can prevent cell degradation and increases the life expectancy of solar plate. 6. The above mention are short term advantages that we have seen during the experiment, for more accurate outcomes we have to expand the duration of course. 5.ACKNOWLEDGEMENT (Optional) 6.REFERENCES [1] Fahad Al-Amri, Taher S. Maatallah, Omar F. Al-Amri Sajid Ali, Sadaqat Ali, Ijlal ShahrukhAteeq, RichuZachariah,Tarek S. Kayed Innovative technique for achieving uniform temperatures across solar panels using heat pipesandliquid immersion cooling in the harsh climate in the Kingdom of Saudi Arabia Alexandria Engineering Journal (2022) 61, 1413–1424 [2] K.A. Moharram, M.S. Abd-Elhady, H.A. Kandil, H. El-Sherif Enhancing the performance of photovoltaic panels bywater cooling, Ain Shams Engineering Journal (2013), Ain Shams Engineering Journal (2013) 4, 869–877 [3] A. Ibrahim Analysis of Electrical Characteristics of Photovoltaic Single Crystal Silicon Solar Cells at Outdoor Measurements, Smart Grid and Renewable Energy, 2011, 2, 169-175 [4] Manel Hammami Simone Torretti, Francesco Grimaccia and Gabriele Grandi Thermal and Performance Analysis of a Current (A) Current (A) The authors sincerely appreciate the technical assistance offered by the Prof. Shilpa Mondkar and Department of Mechanical Engineering, MES Pillai College of Engineer Photovoltaic Module with an Integrated Energy Storage System, IEEE Trans. Energy Convers. 2015, 30, 1386–1396 [5] Rizwan Arshad, Salman Tariq, Muhammad Umair Niaz, Mohsin Jamil Improvement in solar panel efficiency using solar concentration by simple mirrors and by cooling 2014 International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE) [6] E.M.G. Rodrigues, R. Melício, V.M.F. Mendes and J.P.S. Catalão Simulation of a Solar panel considering Single-Diode Equivalent Circuit Model, International Conference on renewable energies and power quality, Vol.1, No.9, May 2011 [7] BARBARA SWATOWSKA, TOMASZ STAPINSKI, KAZIMIERZ DRABCZYK, PIOTR PANEK The Role of Antireflection Coatings in Silicon Solar Cells – The Influence on Their Electrical Parameters Optica Applicata, Vol. XLI, No. 2, 2011 [8] F.M. Gait ho, F.G. Ndiritu, P.M. Muriithi, R.G. Ngumbu, J.K. Ngareh Effect of thermal conductivity on the efficiency of single crystal silicon solar cell coated with an anti-reflective thin film Science direct Solar Energy 83(8):1290-1293 [9] AnkitS. Gujrathi, Sudhir U. Patil, Sachin P. Ingale Analysis of Solar Photovoltaic Thermal System with air cooling Special Issue – ICRTET-2018 ISSN: 2454-9150