Impact of Soiling on Energy Yield of Solar PV Power Plant and … · 2019-12-04 · 1 Impact of...
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1 Impact of Soiling on Energy Yield of Solar PV Power Plant and Developing Soiling Correction Factor for Solar PV Power Forecasting Presenter: Sahana L Naveen Kumar G M, Dr. Hans Peter Waldl, Prasun Kumar Das, Karthik Ramanathan, Dr. Balaraman Kannan, Dr. Indradip Mitra
Transcript of Impact of Soiling on Energy Yield of Solar PV Power Plant and … · 2019-12-04 · 1 Impact of...
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Impact of Soiling on Energy Yield of Solar PV Power Plant and Developing Soiling Correction Factor for Solar PV Power
Forecasting
Presenter: Sahana L
Naveen Kumar G M, Dr. Hans Peter Waldl, Prasun Kumar Das, Karthik Ramanathan, Dr. Balaraman Kannan, Dr. Indradip Mitra
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Why should you estimate soiling losses?
30 GW 1% 300,000
kW
300,000 kW
1500 hr
450,000,000 kWh
450,000,000 kWh
INR 2.44/ kWh
INR 109.8 crore per year
Installed capacity of solar power as on 31.07.2019 = 30 GW Assume 1% soiling loss
Assume 1500 sunshine hours per year
INR 2.44/kWh is the lowest solar tariff
Soiling is a macroeconomic problem!
Purpose of the Project
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Energy yield of solar PV panel geographical location
Inconsistent cleaning of panels or cleaned by rain
Generators neglected the effect of soiling on panels
Reduction in initial power output (2% - 25%)
Analyse effect of soiling on PV modules
Objectives of the Project
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To conduct literature review on effect of soiling on PV plants
To process various parameters to estimate the performance of PV plant
To investigate the influence of dust/dirt on the solar panel
To develop a method for estimating the soiling losses
To develop a soiling correction factor for solar power forecasting
Specifications of 20 kW roof-top PV plant
Cleaning schedule (from 19-March-2018) - 3 days, 1 week, 20 days Bird droppings are a huge problem to the solar panels
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Location: NIWE, Chennai (12.95˚ N, 80.21˚ E)
Module rated Power at STC 255 W
Module efficiency at STC 15.21%
Number of solar panels in the plant 80
Area occupied by the solar panels (ext. dimension) 131.472 m²
Tilt angle of the panels 13˚
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Cleaned solar panels
Soiled solar panels (2 weeks)
Small bird dropping
Large bird dropping
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Analysis of 20 kW plant at NIWE (Jan, Feb, Mar - 2018)
Effect of various environmental factors on DC power (Coefficient of Determination - R²)
Parameters January (%) February (%) March (%)
Global Tilted Irradiation 90.54 92.37 90.29
Ambient Temperature 29.11 28.43 27.85 Relative Humidity 22.45 23.17 27.72 Wind Speed 3.28 6.95 1.03
Performance of the plant Monthly average PR (%) 78 76 77
PV efficiency (%) 12.19 11.95 12.07
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Analysis of 20 kW plant at NIWE (Apr, May, Jun - 2018) Effect of various environmental factors on DC power
(Coefficient of Determination - R²) Parameters April (%) May (%) June (%)
Global Tilted Irradiation 90.54 96.18 95.20
Ambient Temperature 29.11 68.77 43.09
Module Temperature - - 84.47
Relative Humidity 22.46 68.74 29.79 Wind Speed 3.29 1.05 4.50
Performance of the plant Monthly average PR (%) 78 77 64
PV efficiency (%) 12.19 12.08 10.03
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Analysis of parameters in June 2018
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GTI
DC
Pow
er
DC Power (kW) GTI (kW/m2)
Correlation between GTI and DC Power
Correlation between RH and DC Power
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RH
DC
Pow
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DC Power (kW) RH
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Analysis of parameters in June 2018
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Air T
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DC
Pow
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DC Power (kW) Air temperature (deg. C)
Correlation between Ambient temperature and DC Power
Correlation between Module temperature and DC Power
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Mod
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er
DC Power (kW) Module temperature (deg. C)
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Analysis of parameters in June 2018
Correlation between Wind Speed and DC Power
DC Efficiency and PR
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Win
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DC Power (kW) Wind Speed (m/s)
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DC Efficiency (%) PR (%)
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Experimental Set-up for Soiling Analysis
Peak Power (Pmax) 80.0 W
Voltage (Vmp) 18.2 V
Current (Imp) 4.4 A
Open Circuit Voltage (Voc) 21.8 V
Short Circuit Current (Isc) 4.74 A
• 2 identical solar panels of 80 W each connected to identical resistive loads • One panel is cleaned regularly whereas the other panel is not cleaned.
• Parameters to be logged: Global Tilted Irradiation – Tilted pyranometer Power from the solar panel – DC Wattmeter Temperature of the modules – Module Temperature sensors
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Schematic representation of experimental set-up
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Test solar panels Experimental Set-up
DC circuit DC Energy meter reading
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Soiling Analysis Results
Date Rain (mm)
Soiling Loss (%)
01-Jun-18 0.6 1.36 03-Jun-18 1 0.88 04-Jun-18 0.3 0.82 05-Jun-18 0 0.58 06-Jun-18 2.4 0.83 07-Jun-18 0.9 0.78 08-Jun-18 1.5 0.41 11-Jun-18 0.8 0.75 19-Jun-18 0 0.60 20-Jun-18 0 0.55 21-Jun-18 0 0.57 27-Jun-18 0 1.36 28-Jun-18 0.3 1.67 29-Jun-18 0.4 1.92
Month Rain (mm) Min. SL (%) Max. SL (%)
June - 2018 8.2 0.41 1.92 July - 2018 66.4 -0.25 1.31
August - 2018 46.2 -0.78 1.91 September - 2018 96.9 -0.74 0.76
October - 2018 17.2 0.52 1.97 November - 2018 18.0 -0.09 1.87 December - 2018 15.9 -0.92 0.33 January - 2019 - - - February - 2019 0.8 -1.35 2.99
March - 2019 0.1 -0.49 1.59 April - 2019 0.3 -0.62 2.73 May - 2019 0.6 -0.14 3.61 June - 2019 1.1 -0.62 3.67
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Soiling Analysis in June 2018
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01. Jun 18 03. Jun 18 05. Jun 18 07. Jun 18 09. Jun 18 11. Jun 18 13. Jun 18 15. Jun 18 17. Jun 18 19. Jun 18 21. Jun 18 23. Jun 18 25. Jun 18 27. Jun 18 29. Jun 18
Soilin
g Lo
ss
Rai
n
Rain (mm) Soiling Loss (%)
More rainfall reduced soiling loss
Lesser rainfall increased soiling loss
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Soiling Analysis from June to October 2018
-1,00
-0,50
0,00
0,50
1,00
1,50
2,00
2,50
0
5
10
15
20
25
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35
40
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01. J
un 1
803
. Jun
18
05. J
un 1
807
. Jun
18
09. J
un 1
811
. Jun
18
13. J
un 1
815
. Jun
18
17. J
un 1
819
. Jun
18
21. J
un 1
823
. Jun
18
25. J
un 1
827
. Jun
18
29. J
un 1
801
. Jul
18
03. J
ul 1
805
. Jul
18
07. J
ul 1
809
. Jul
18
11. J
ul 1
813
. Jul
18
15. J
ul 1
817
. Jul
18
19. J
ul 1
821
. Jul
18
23. J
ul 1
825
. Jul
18
27. J
ul 1
829
. Jul
18
31. J
ul 1
802
. Aug
18
04. A
ug 1
806
. Aug
18
08. A
ug 1
810
. Aug
18
12. A
ug 1
814
. Aug
18
16. A
ug 1
818
. Aug
18
20. A
ug 1
822
. Aug
18
24. A
ug 1
826
. Aug
18
28. A
ug 1
830
. Aug
18
01. S
ep 1
803
. Sep
18
05. S
ep 1
807
. Sep
18
09. S
ep 1
811
. Sep
18
13. S
ep 1
815
. Sep
18
17. S
ep 1
819
. Sep
18
21. S
ep 1
823
. Sep
18
25. S
ep 1
827
. Sep
18
29. S
ep 1
801
. Okt
18
03. O
kt 1
805
. Okt
18
07. O
kt 1
809
. Okt
18
11. O
kt 1
813
. Okt
18
15. O
kt 1
817
. Okt
18
19. O
kt 1
821
. Okt
18
23. O
kt 1
825
. Okt
18
27. O
kt 1
829
. Okt
18
rain Soiling Loss (%)
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Solar Forecasting Model Chain
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Soiling factor is location specific – affects energy yield and solar forecasting
Analysis to be done for other sites in India (major solar power plants)
Experimental analysis to be undertaken for at least 1 year every day
No generalised soiling factor for various sites in different regions
Soiling factor should be incorporated into day ahead solar forecasting
Characteristics of Soiling Factor
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Simple design of experimental set-up with multiple benefits
Estimate soiling losses and monitor health of PV panel
Promotes cleaning of panels and sensors
Estimates power generated accurately and reduces uncertainty
Improves accuracy of solar power forecasting
Key Benefits of developing Soiling Factor
![Soiling in concentrating solar thermal power (CSP) – effects and connection to PV · 2019-07-25 · • [S] Schüler , David, et al. "The enerMENA meteorological network –Solar](https://static.fdocuments.us/doc/165x107/5f24e33f72cfb8655813c721/soiling-in-concentrating-solar-thermal-power-csp-a-effects-and-connection-to.jpg)
