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MEASURING LOSSES IN POWER PRODUCTION DUE TO SOILING OF SOLAR PANELS Ajay Singh ([email protected]) and Matthew Perry ([email protected]) Campbell Scientific, Inc. Logan, UT USA INTRODUCTION As photovoltaic arrays have increasingly generated more electrical energy in the past decade, they have established themselves as viable sources of renewable energy. At present, the efficiency of solar panels is at best 15-23%, meaning only 15-23% of incident energy in the form of light get converted into electrical energy. There are further performance losses in the life time of a solar array. Loss due to dust accumulation on power generation is becoming increasingly important as the total installed size increases. System owners have to find a way to assess losses in energy production due to various factors. Incidentally, there are large PV installations in dry desert regions where natural rain events are scarce and loss in energy production is encountered due to dust accumulations on the solar panels resulting in soiling losses. The decision to clean these panels can be costly and the owners need a monitoring system to make this deci- sion in a cost effective manner. Several studies have been made in the past to quantify these losses. Ryan et al. 1 compared output of a clean panel versus an identical test panel accumulating dust naturally. Several other researchers 2 , 3 estimated the loss in energy production from the plant performance data. This paper describes a field deployable soiling loss monitoring system that is based on the method adopted by Ryan et al. 1 , and is easy to install. It provides a daily averaged soiling loss index (SLI) that can be used to make cleaning de- cisions. The SLI is calculated from effective irradiance reaching the cells calculated form the short circuit current of the panels. This method is simple and avoids the complication and cost of a full I-V curve tracer. We also present some results from testing at our site in Logan, UT. Two identical full size PV panels are mounted side by side. The short circuit current is measured on both panels with a precision current sensing shunt. Back of-module temperatures are also measured using a thermistor. Measurements are performed during sunset and sunrise. The two modules are short-circuited using a solid state relay for about 5 second every 30 seconds. The short-circuit current is measured using a current shunt. Back-of-module temperatures on both modules are also monitored. An effective irradiance reaching the cells is calculated in accordance with the IEC 609045, according to the equation 2 above. An initial offset between the two panels is estimated in the beginning and periodically afterwards each time both panels are cleaned. This offset is applied to the subsequent measurements. In accordance with IEC 60904, we limit the SLI calculation within one hour of local solar noon and for effective irradi- ance > 800 W/m2. This avoids any differences in soiling loss due to zenith angle of sun, module current dependence on irradiance level or spectral differences. We also use a filtering scheme to filter out any unstable data due to clouds etc. The stability criteria adopted is based on the recommendations made in IEC 60904. EXPERIMENTAL PROCEDURE KEY DEFINITIONS We begin by a definition of the soiling loss index in terms of quantities that can be measured directly from a PV module. We define Soiling Loss Index (SLI) as loss in the irradiance reaching the solar cells. If all other factors are same then this loss is primarily due to the loss in transmission properties of the glass as a result of the soil accumulation. The irradiance is calculated from short circuit current 6 as = [1−∝(−)] ,  Where, : Effective irradiance reaching the solar cells : measured short circuit current of the module , : short circuit current at STC : back of module temperature : back of module temperature at STC, typically 25° C α: Temperature coefficient of short circuit current. The soiling loss index (SLI) uses the effective irradiances of a clean reference panel and a dirty test panel, and is de- fined as: , , Where, , is the effective irradiance calculated from the clean reference panel and , is the same quan- tity calculated from the test panel. REFERENCES 1. C. P. Ryan, F. Vignola, and D. K. McDaniels, “Solar Cell Arrays: Degradation Due to Dirt,” in Proceedings of the American Section of the International Solar Energy Society , Denver, CO, 1989, pp. 234–237. 2. A. Kimber, L. Mitchell, S. Nogradi, and H. Wenger, “The Effect of Soiling on Large Grid-Connected photovoltaic Systems in California and the Southwest Region of the United States,” in Conference Record of the 2006 IEEE 4th World Conference on Photovoltaic Energy Conversion , Waikoloa, HI, 2006. 3. S. Canada, “Quality Assurance: Impacts of Soiling on Utility-Scale PV System Performance,” SolarPro Magazine , no. 6.3, pp. 14–20, May-2013. 4. K. Emery, “Radiometry in in photovoltaics: calibration of reference solar cells and evaluation of reference values”. In Handbook of Photovoltaic Science and Engineering , 1st ed., Wiley, 2003, pp. 701–752. 5. IEC 60904-1, Photovoltaic devices – Part 1: Measurement of photovoltaic current-voltage characteristics, second edition, 2006-9 6. IEC 60904-10, Photovoltaic devices – Photovoltaic devices –Part 10: Methods of linearity measurement, second edition, 2009. 1− = ×100% RESULTS Figure 1: Effective Irradiance as calculated from short circuit current of the PV modules on a clear sky day. The green curve shows the soiling index. The SLI depends on the time of the day. Figure 3: Effective Irradiance and SLI on a cloudy day. Figure 4: G eff and SLI taken during a cloudy day with G effref >800w/m 2 during ±1 hour of solar noon. Figure 5: Change in SLI after a cleaning event. Both modules were cleaned at a time corresponding to the record number 650. The cleaning affects the tem- perature of the modules and it takes some time to recover from this tempera- ture changes. The SLI settles back near zero after some time. Higher SLI before record number 650 is the indication of dirty modules with loss in effective irra- diance ~ 2% Image 1: Photo of soiling test site at Campbell Scientific, Inc., Headquarters, Logan, UT, USA. Figure 2: Effective irradiance and SLI during ±1 hour of solar noon and G effref > 800 W/m 2 . The time of the day dependence is absent during this time. For more information on the CRSI2 Soiling Index Datalogger, please visit: https://www.campbellsci.com/crsi2 28 August—1 September 2016

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Page 1: MEASURING LOSSES IN POWER PRODUCTION DUE …...MEASURING LOSSES IN POWER PRODUCTION DUE TO SOILING OF SOLAR PANELS Ajay Singh (asingh@campbellsci.com) and Matthew Perry (mperry@campbellsci.com)

MEASURING LOSSES IN POWER PRODUC TION DUE TO SOILING OF SOLAR PANELS

A jay S ingh (as ingh@cam p b e l lsc i .com ) a n d Ma tth e w Pe r r y ( m p e r r y@ca m p b e l lsc i .com )Ca m p b e l l S c ie n t i�c, In c. Log a n , UT USA

INTRODUC TION EXPERIMENTAL PROCEDURE

As photovoltaic ar rays have increasingly generated more electr ical energy in the past decade, they have establ ished themselves as v iable sources of renewable energy. At present , the e�ciency of solar panels is at best 15-23%, meaning only 15-23% of incident energy in the form of l ight get conver ted into electr ical energy. There are fur ther per formance losses in the l i fe t ime of a solar ar ray. Loss due to dust accumulat ion on power generat ion is becoming increasingly impor tant as the total instal led s ize increases. System owners have to �nd a way to assess losses in energy production due to var ious factors. Incidental ly, there are large PV instal lat ions in dr y deser t regions where natural ra in events are scarce and loss in energy production is encountered due to dust accumulat ions on the solar panels result ing in soi l ing losses. The decis ion to c lean these panels can be cost ly and the owners need a monitor ing system to make this deci-s ion in a cost e�ect ive manner. Several studies have been made in the past to quanti fy these losses. R yan et a l .

1 compared output of a c lean panel

versus an identical test panel accumulat ing dust natural ly. Several other researchers2,

3 est imated the loss in energy

production f rom the plant per formance data . This paper descr ibes a �eld deployable soi l ing loss monitor ing system that is based on the method adopted by R yan et a l .

1, and is easy to instal l . I t provides a dai ly averaged soi l ing loss index (SLI ) that can be used to make cleaning de-

cis ions. The SLI is calculated from e�ect ive i r radiance reaching the cel ls calculated form the shor t c i rcuit current of the panels. This method is s imple and avoids the complicat ion and cost of a ful l I -V cur ve tracer. We also present some results f rom test ing at our s i te in Logan, UT.

Two identical ful l s ize PV panels are mounted s ide by s ide. The shor t c i rcuit current is measured on both panels with a precis ion current sensing shunt . Back of-module temperatures are a lso measured using a thermistor. Measurements are per formed dur ing sunset and sunr ise. The two modules are shor t- c i rcuited using a sol id state relay for about 5 second ever y 30 seconds. The shor t- c i rcuit current is measured using a current shunt . Back- of-module temperatures on both modules are a lso monitored.

An e�ect ive i r radiance reaching the cel ls is calculated in accordance with the IEC 609045, according to the equation 2 above. An init ia l o�set between the two panels is est imated in the beginning and per iodical ly af ter wards each t ime both panels are c leaned. This o�set is appl ied to the subsequent measurements. In accordance with IEC 60904, we l imit the SLI calculat ion within one hour of local solar noon and for e�ect ive i r radi-ance > 800 W/m2. This avoids any di�erences in soi l ing loss due to zenith angle of sun, module current dependence on i r radiance level or spectral di�erences. We also use a �lter ing scheme to �lter out any unstable data due to c louds etc. The stabi l i ty cr i ter ia adopted is based on the recommendations made in IEC 60904.

EXPERIMENTAL PROCEDURE

KEY DEFINITIONSWe begin by a de�nit ion of the soi l ing loss index in terms of quantit ies that can be measured direct ly f rom a PV module. We de�ne Soi l ing Loss Index (SLI ) as loss in the i r radiance reaching the solar cel ls . I f a l l other factors are same then this loss is pr imar i ly due to the loss in transmiss ion proper t ies of the glass as a result of the soi l accumulat ion. The i r radiance is calculated from shor t c i rcuit current

6 as

𝐺𝑒𝑓𝑓=𝐼𝑆𝐶 [1−∝(𝑇−𝑇𝑜)] 𝐼𝑆𝐶,𝑆𝑇𝐶  Where, 𝐺𝑒𝑓𝑓 : E�ect ive i r radiance reaching the solar cel ls𝐼𝑆𝐶 : measured shor t c i rcuit current of the module𝐼𝑆𝐶,𝑆𝑇𝐶 : shor t c i rcuit current at STC𝑇 : back of module temperature𝑇𝑜 : back of module temperature at STC, typical ly 25° Cα: Temperature coe�cient of shor t c i rcuit current .

The soi l ing loss index (SLI ) uses the e�ect ive i r radiances of a c lean reference panel and a dir ty test panel , and is de-�ned as :

𝐺𝑒𝑓𝑓,𝑅𝑒𝑓 𝐺𝑒𝑓𝑓,𝑇𝑒𝑠𝑡

Where, 𝐺𝑒𝑓𝑓,𝑅𝑒𝑓 i s the e�ect ive i r radiance calculated from the clean reference panel and 𝐺𝑒𝑓𝑓,𝑇𝑒𝑠𝑡 i s the same quan-t i ty calculated from the test panel .

REFERENCES1. C . P. R yan, F. Vignola , and D. K . McDaniels , “Solar Cel l Arrays : Degradat ion Due to Dir t ,” in Proceedings of the A mer ican S e ct i on of t he Inte r na t i ona l S olar Energy S ociet y , Denver, CO, 1989, pp. 234–237.

2 . A . K imber, L . Mitchel l , S . Nogradi , and H. Wenger, “ The E�ect of Soi l ing on Large Gr id-Connected photovoltaic Systems in Cal i fornia and the Southwest Region of the United States,” in Conf erence R ecord of the 2006 IEEE 4th Wor ld Con fe re nce on Photovol t a i c Energy Convers ion , Waikoloa, HI , 2006.

3 . S . Canada, “Qual i ty Assurance: Impacts of Soi l ing on Uti l i ty-Scale PV System Per formance,” S olarPro Magazine , no. 6 .3 , pp. 14–20, May-2013.

4 . K . Emer y, “Radiometr y in in photovoltaics : cal ibrat ion of reference solar cel ls and evaluat ion of reference values”. In Handbook of Photovol t ai c S c ience and Engineer ing , 1st ed. , Wi ley, 2003, pp. 701–752.

5 . IEC 60904-1, Photovoltaic devices – Par t 1 : Measurement of photovoltaic current-voltage character ist ics, second edit ion, 2006-9

6. IEC 60904-10, Photovoltaic devices – Photovoltaic devices –Par t 10: Methods of l inear i ty measurement, second edit ion, 2009.

1−𝑆𝐿𝐼= ×100%

RESULTS

Figure 1 : E � ec t ive I r radiance as calc ulated f rom s hor t c i rc uit c ur rent of the PV m odules on a c lear s k y day. The green c ur ve s hows the s oi l ing index. The S LI depends on the t im e of the day.

Figure 3 : E � ec t ive I r radiance and S LI on a c loudy day. Figure 4 : G e� and SLI taken dur ing a c loudy day with G e�ref >800w/m 2 dur ing ±1 hour of solar noon.

Figure 5 : Change in S L I af ter a c leaning e vent . Both m odules were c leaned at a t im e cor res ponding to the record num ber 6 5 0 . The c leaning a� ec ts the tem -perature of the m odules and i t takes s om e t im e to recover f rom this tem pera-ture c hanges. The S LI s ett les bac k near zero af ter s om e t im e. H igher S L I before record num ber 6 5 0 is the indicat ion of d i r t y m odules with los s in e� ec t ive i r ra-diance ~ 2 %

I m age 1 : Photo of soi l ing test s i te at Campbel l S c ient i�c, Inc. , Headquar ters , Logan, UT, USA.

Figure 2 : E �ect ive i r radiance and SLI dur ing ±1 hour of solar noon and G e�ref > 800 W/m 2. The t ime of the day dependence is absent dur ing this t ime.

For more information on the CRSI2 Soi l ing Index Datalogger, please vis i t : https://www.campbel lsci .com/crsi2

28 August—1 September 2016