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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 5553
Effect of Dust, Shadiness and Faulty CS10 Sensor on the Performance of
Solar Photovoltaic Thermal System (SPVT)
Garikapati Narendra1, Dr.V.Prasanna Moorthy2
1PG Scholar, Dept. of EEE, Government College of Technology, Coimbatore.
2Dr.V.Prasanna Moorthy, Assistant Professor, Dept. of EEE, Government College of Technology, Coimbatore,
Tamilnadu -641013,India.
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract – Solar Photovoltaic Thermal (SPVT) advanced
method of producing electrical as well as thermal energy. In
India SPVT is mainly going to use in Educational Institutions,
Cold Storages, Large commercial retail ,manufacturing –
textile. There are a lot of reasons for the productionoflossesin
SPVT like electrical disconnections, ageing, and dust
deposition, and Maximum power point tracking error,
electrical losses. CS10, V40 malfunctioning. Inthispapereffect
of Dust, Shadiness, and Faulty CS10 have analyzed. All these
faults will affect the electrical as well as thermal power
generation this is illustrated in this paper.
Key Words: Solar radiation (H), Thermal and electrical
energy, Photo voltaic thermal (PVT), Heat Quantity (Q),
voltage (V), Monocrystalline (MC)…
1. INTRODUCTION
Solar Photovoltaic thermal (SPVT) system of 2 units each
having a capacity of 10kW are installed on roof top of
Hostels, Government College of Technology, Coimbatore,
India .This SPVT performanceanalysisdonebyobserving the
readings of 10 KW roof top plant of Girls Hostel. For
analysing effect of dust deposition readings have taken for 7
days before and after cleaning the panels, Performance
during shadiness has analyzed by using solar PV analyzer,
system mal function due to CS10 has analyzedbyusingDelta
Resol Controller.
2. FAULTS IN SOLAR PHOTOVOLTAIC THERMAL
(SPVT)
These are all the possible faults in SPVT system like absence
of grid supply or main supply, optical flow meter faults, CS10
irradiation sensor faults, Thermostat failures lockage of air
inside the storage tank, flow meter faults .In this paper effect
of three faults have analyzed those are dust deposition
,shadiness,CS10 Faults .
2.1 Effect of Dust on the performance of SPVT
Dust deposition mainly effects the performance of SPVT in
many ways like reduction in thermal generation, electrical
generation.
Effect of dust on thermal power generation is illustrated in
this paper by analysing data for 7 days before and after the
cleaning .All values are tabulated below.
Table -1: Comparison of solar panel parameters
before and after cleaning the panels.
Where
S1=Panel Temperature in OC.
S2=Heat Exchanger Input in OC.
S3=Heat Exchanger Output in OC.
S4=Storage Tank Temperature in OC.
m=Flow rate in litre/hour.
Q=Heat Quantity Generated per Day in wh.
H=Solar Radiation in watts/m2.
All Sensor’s outputs are high after cleaning the panels.
Average panel temperature(S1) is increased by 2.63 OC, heat
exchanger output (S3) increased by 3.48 OC, per day heat
quantity is increased by 1606 wh, radiation falling on the
panels is increased by 232 watts/m2 .Flow rate is less after
cleaning, this is due opening of the relay of motor R1whichis
responsible for flow rate due to thermostat at 45 OC. Despite
low flow rateallsensor values are high,thermalgenerationis
high.
Periodical cleaning of the panel will increase thermal as well
as electrical efficiency .Periodical monitoring of panels will
increase performance of the panels.
Only way to clear the faults due to dust is to clean the panels
periodically.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 5554
2.2 Effect of Shades on performance of the SPVT
Fig-1: Set up to find the effect of Shadiness
Solar PV analyzer is used to measure the voltage, solar
radiation during shading. Open circuitvoltageofthepanel is
39.15 V at 1000 watts/m2.
Chart-1: Effect of shadiness on Voltage.
Chart -1 shows the effect of shadiness on voltage, voltage
value is getting reduced as shading increases.
Chart-2: Effect of shadiness on power
Chart -2 shows the effect of shadiness on electrical aswell as
thermal power generation, both powers reduced due to
shading.
2.3 Effect of faulty CS10 on performance of the SPVT
The CS10 is used for measuring the irradiationintensity.The
short circuit current rises with increasing irradiation
intensity. The short-circuit current is proportional to the
irradiation intensity.
2.3.1 Performance of SPVT at Faulty CS 10 Sensor
Chart-3: Faulty CS10 Performance.
2.3.2 Performance of SPVT at Faulty CS 10 Sensor
Maximum solar radiation will be varying in the range of
1000-1100 watts/m2, but due to faulty CS 10 Sensor is
showing a maximum of 238 watts/m2 .Hybrid pumpmay get
stopped due to this fault, this is the main consequence of
faulty CS10 irradiation sensor. Values of CS10 at different
timings have shown in chart -3, where X-axis is timing from
5:30AM to 5:30 PM, Y – axis is Solar Radiation (H).
Chart-4: Healthy CS10 Performance
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 5555
Fig -1: Name of the figure
Under healthy operatingconditionsCS10canshowa reading
of 1000-1100 watts /m2.Chart -4 showing the reading of
CS10 under healthy operating conditions. In this maximum
solar radiation is 1095 watts/m2, Averagesolarradiation for
7 days is 360.2 watts/m2.
So it is necessary to monitor the condition of CS10.
3. CONCLUSIONS
From this analysis it has conclude that dust deposition will
effects the thermal and electrical power generation ,so
regular maintenance is required. Shading will effects the
voltage as well as irradiation ,it is observed that 13.19%
voltage is dropping due to shading , by avoiding shadows,
hot spots on solar panel we can minimize the effect of
shading. Similarly maintenance of CS10 irradiationsensoris
also very important as it effects the operation of Hybrid
motor.
REFERENCES
[1] Photovoltaic Hot-Spot Detection for Solar Panel
Substrings Using AC Parameter Characterization
Katherine A. Kim, Member, IEEE, Gab-Su Seo, Student
Member, IEEE, Bo-HyungCho,Fellow,IEEE,andPhilipT.
Krein, Fellow, IEEE.
[2] Online Fault Detection in PV Systems Radu Platon,
Jacques Martel, Norris Woodruff, and Tak Y. Chau.
[3] Line–Line Fault Analysis and Protection Challenges in
Solar Photovoltaic Arrays Ye Zhao, Student Member,
IEEE, Jean-François de Palma, Member, IEEE, Jerry
Mosesian, Member, IEEE, Robert Lyons, Jr., Member,
IEEE, and Brad Lehman, Senior Member, IEEE.
[4] Classification of Power Quality Disturbances Due to
Environmental CharacteristicsinDistributedGeneration
System PrakashK. Ray,Member,IEEE, SoumyaR.
Mohanty,Member,IEEE,and Nand Kishor,Member,IEEE.

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IRJET- Effect of Dust, Shadiness and Faulty CS10 Sensor on the Performance of Solar Photovoltaic Thermal System (SPVT)

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 5553 Effect of Dust, Shadiness and Faulty CS10 Sensor on the Performance of Solar Photovoltaic Thermal System (SPVT) Garikapati Narendra1, Dr.V.Prasanna Moorthy2 1PG Scholar, Dept. of EEE, Government College of Technology, Coimbatore. 2Dr.V.Prasanna Moorthy, Assistant Professor, Dept. of EEE, Government College of Technology, Coimbatore, Tamilnadu -641013,India. ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – Solar Photovoltaic Thermal (SPVT) advanced method of producing electrical as well as thermal energy. In India SPVT is mainly going to use in Educational Institutions, Cold Storages, Large commercial retail ,manufacturing – textile. There are a lot of reasons for the productionoflossesin SPVT like electrical disconnections, ageing, and dust deposition, and Maximum power point tracking error, electrical losses. CS10, V40 malfunctioning. Inthispapereffect of Dust, Shadiness, and Faulty CS10 have analyzed. All these faults will affect the electrical as well as thermal power generation this is illustrated in this paper. Key Words: Solar radiation (H), Thermal and electrical energy, Photo voltaic thermal (PVT), Heat Quantity (Q), voltage (V), Monocrystalline (MC)… 1. INTRODUCTION Solar Photovoltaic thermal (SPVT) system of 2 units each having a capacity of 10kW are installed on roof top of Hostels, Government College of Technology, Coimbatore, India .This SPVT performanceanalysisdonebyobserving the readings of 10 KW roof top plant of Girls Hostel. For analysing effect of dust deposition readings have taken for 7 days before and after cleaning the panels, Performance during shadiness has analyzed by using solar PV analyzer, system mal function due to CS10 has analyzedbyusingDelta Resol Controller. 2. FAULTS IN SOLAR PHOTOVOLTAIC THERMAL (SPVT) These are all the possible faults in SPVT system like absence of grid supply or main supply, optical flow meter faults, CS10 irradiation sensor faults, Thermostat failures lockage of air inside the storage tank, flow meter faults .In this paper effect of three faults have analyzed those are dust deposition ,shadiness,CS10 Faults . 2.1 Effect of Dust on the performance of SPVT Dust deposition mainly effects the performance of SPVT in many ways like reduction in thermal generation, electrical generation. Effect of dust on thermal power generation is illustrated in this paper by analysing data for 7 days before and after the cleaning .All values are tabulated below. Table -1: Comparison of solar panel parameters before and after cleaning the panels. Where S1=Panel Temperature in OC. S2=Heat Exchanger Input in OC. S3=Heat Exchanger Output in OC. S4=Storage Tank Temperature in OC. m=Flow rate in litre/hour. Q=Heat Quantity Generated per Day in wh. H=Solar Radiation in watts/m2. All Sensor’s outputs are high after cleaning the panels. Average panel temperature(S1) is increased by 2.63 OC, heat exchanger output (S3) increased by 3.48 OC, per day heat quantity is increased by 1606 wh, radiation falling on the panels is increased by 232 watts/m2 .Flow rate is less after cleaning, this is due opening of the relay of motor R1whichis responsible for flow rate due to thermostat at 45 OC. Despite low flow rateallsensor values are high,thermalgenerationis high. Periodical cleaning of the panel will increase thermal as well as electrical efficiency .Periodical monitoring of panels will increase performance of the panels. Only way to clear the faults due to dust is to clean the panels periodically.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 5554 2.2 Effect of Shades on performance of the SPVT Fig-1: Set up to find the effect of Shadiness Solar PV analyzer is used to measure the voltage, solar radiation during shading. Open circuitvoltageofthepanel is 39.15 V at 1000 watts/m2. Chart-1: Effect of shadiness on Voltage. Chart -1 shows the effect of shadiness on voltage, voltage value is getting reduced as shading increases. Chart-2: Effect of shadiness on power Chart -2 shows the effect of shadiness on electrical aswell as thermal power generation, both powers reduced due to shading. 2.3 Effect of faulty CS10 on performance of the SPVT The CS10 is used for measuring the irradiationintensity.The short circuit current rises with increasing irradiation intensity. The short-circuit current is proportional to the irradiation intensity. 2.3.1 Performance of SPVT at Faulty CS 10 Sensor Chart-3: Faulty CS10 Performance. 2.3.2 Performance of SPVT at Faulty CS 10 Sensor Maximum solar radiation will be varying in the range of 1000-1100 watts/m2, but due to faulty CS 10 Sensor is showing a maximum of 238 watts/m2 .Hybrid pumpmay get stopped due to this fault, this is the main consequence of faulty CS10 irradiation sensor. Values of CS10 at different timings have shown in chart -3, where X-axis is timing from 5:30AM to 5:30 PM, Y – axis is Solar Radiation (H). Chart-4: Healthy CS10 Performance
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 5555 Fig -1: Name of the figure Under healthy operatingconditionsCS10canshowa reading of 1000-1100 watts /m2.Chart -4 showing the reading of CS10 under healthy operating conditions. In this maximum solar radiation is 1095 watts/m2, Averagesolarradiation for 7 days is 360.2 watts/m2. So it is necessary to monitor the condition of CS10. 3. CONCLUSIONS From this analysis it has conclude that dust deposition will effects the thermal and electrical power generation ,so regular maintenance is required. Shading will effects the voltage as well as irradiation ,it is observed that 13.19% voltage is dropping due to shading , by avoiding shadows, hot spots on solar panel we can minimize the effect of shading. Similarly maintenance of CS10 irradiationsensoris also very important as it effects the operation of Hybrid motor. REFERENCES [1] Photovoltaic Hot-Spot Detection for Solar Panel Substrings Using AC Parameter Characterization Katherine A. Kim, Member, IEEE, Gab-Su Seo, Student Member, IEEE, Bo-HyungCho,Fellow,IEEE,andPhilipT. Krein, Fellow, IEEE. [2] Online Fault Detection in PV Systems Radu Platon, Jacques Martel, Norris Woodruff, and Tak Y. Chau. [3] Line–Line Fault Analysis and Protection Challenges in Solar Photovoltaic Arrays Ye Zhao, Student Member, IEEE, Jean-François de Palma, Member, IEEE, Jerry Mosesian, Member, IEEE, Robert Lyons, Jr., Member, IEEE, and Brad Lehman, Senior Member, IEEE. [4] Classification of Power Quality Disturbances Due to Environmental CharacteristicsinDistributedGeneration System PrakashK. Ray,Member,IEEE, SoumyaR. Mohanty,Member,IEEE,and Nand Kishor,Member,IEEE.