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Este manual describe las estrategias competitivas básicas para las empresas. Explica los componentes de la estrategia, incluidas las actividades primarias y secundarias. Luego describe varias estrategias genéricas como el liderazgo en costos, la diferenciación y la segmentación. También cubre estrategias a lo largo del ciclo de vida de la industria, estrategias de crecimiento y evaluación de la estrategia. El objetivo es ayudar a las empresas a desarrollar e implementar estrategias efectivas.
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My presentation at ISPI-Montreal's 2006 Conference discussed A Systemic Approach to Designing Fluid eLearning Environments for Learning Organisations.
P resentation Summary
In a learning organization, a shared vision is built by linking individual and organizational performance objectives. The design of this organization's eLearning environment must reflect this vision, empowering individuals, cultivating communities of practice and encouraging a holistic performance improvement perspective.
Thi s presentation focuses on strategies for designing participative and collaborative eLearning environments. You will identify ways of assessing and implementing a new generation of eLearning tools that have the potential to keep learners curious, engaged, communicating and sharing, ultimately fulfilling a learning organization’s objectives.
At the end of this session, participants should be able to:
* Recognize the principle requirements when designing eLearning environments for learning organizations;
* Identify techniques and tools for designing networks that offer both collaborative and self-directed learning;
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Being equipped with the output ability of 2000 V and the ammeter with nA resolution as well as a polarity switching function, the TOS7210S is also applicable not only to the PID evaluation but also the evaluation of the insulators that requires a high sensitivity of measurement. The tester is equipped with the panel memory that is externally accessible and RS232C interface as standard; it can be flexibly compatible with the automated system.
https://www.n-denkei.com/singapore/inquiry/
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An optimum location of on-grid bifacial based photovoltaic system in Iraq IJECEIAES
Bifacial photovoltaic (PV) module can gain 30% more energy compared to monofacial if a suitable location were chosen. Iraq (a Middle East country) has a variable irradiation level according to its geographic coordinates, thus, the performance of PV systems differs. This paper an array (17 series, 13 parallel) was chosen to produce 100 kWp for an on-grid PV system. It investigates the PV system in three cities in Iraq (Mosul, Baghdad, and Basrah). Effect of albedo factor, high and pitch of the bifacial module on energy yield have been studied using PVsyst (software). It has been found that the effect is less for a pitch greater than 6 m. The energy gained from bifacial and monofacial PV system module in these cities shows that Mosul is the most suitable for installing both PV systems followed by Baghdad and lastly Basrah. However, in Basrah, the bifacial gain is 12% higher in the energy than monofacial as irradiation there is higher than the other locations, especially for elevation above 1.5 m. Moreover, the cost of bifacial array is 7.23% higher than monofacial, but this additional cost is acceptable since the bifacial gain is about 11.3% higher energy compared to the monofacial.
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International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
This document evaluates the performance of a commercially used polycrystalline solar photovoltaic module in Maiduguri, Nigeria. A model of the PV module was implemented using MATLAB with daily temperature and solar irradiance data from Maiduguri over one year. Simulation results showed that power generated varied with seasons, with more power in the dry season compared to the rainy season. The sunniest month of April generated the maximum power of 315W, the manufacturer's specified maximum, while the least sunny month of August generated less power. The module performed well under the climatic conditions in Maiduguri.
This document describes a numerical analysis to determine reliable parameters for the one-diode model of perovskite solar cells. 11 perovskite solar cells with efficiencies ranging from 4.6-12.2% were fabricated and characterized. A genetic algorithm combined with the Nelder-Mead method was used to minimize errors between measured I-V curves and the one-diode model, estimating photo-generated current, diode saturation current, ideality factor, shunt and series resistances. A sensitivity analysis of errors showed the estimated parameters were reliable and related to low errors. The analysis found the one-diode model suitable for modeling perovskite solar cells and ideality factors were typically around 2 for
03 partial discharge theory cutler-hammerprasadkappala
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This document summarizes an article that reports on developing an automatic active cooling system for a solar panel with real-time energy monitoring using Internet of Things (IoT) technology. The system aims to improve solar panel efficiency by maintaining optimal operating temperature through active cooling. It consists of sensors to measure temperature, light intensity and energy output, a microcontroller to control the cooling system, and an IoT interface to monitor the system remotely. Experimental results show that active cooling increases the solar panel's average output voltage, current and power by lowering its surface temperature compared to passive cooling.
Core Objective 1: Highlights from the Central Data ResourceAnubhav Jain
The Central Data Resource develops and disseminates solar-related data, tools, and software. It hosts a central data hub that securely stores both private and public data from DuraMat projects. It also develops open-source software libraries that apply data analytics to solve module reliability challenges. The data hub currently has over 60 projects, 128 datasets including 70 public datasets, and over 2000 files and resources accessible to its 137 users.
This study examines the impact of four environmental factors - dust accumulation, water droplets, bird droppings, and partial shading conditions - on photovoltaic (PV) system performance. The results show that dust accumulation, shading, and bird fouling significantly reduce PV current, voltage, and harvested energy. Shading had the strongest negative effect, with power reduction of 33.7-92.6% depending on the shaded area. However, water droplets decreased PV panel temperature and slightly increased power output. Dust reduced power by 8.8% and efficiency by 11.86%. Bird fouling reduced performance by around 7.4%. The study provides quantitative analysis of how each factor individually affects key PV parameters and overall system
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A Framework For Epbt Calculation Of Roof Mounted...Lindsey Jones
This document discusses photovoltaic (PV) materials used in solar cells. It begins by noting that solar energy is one of the most widely used energy sources and that humans have developed technologies to capture solar energy for applications like cooking, heating, and powering devices. PV cells are then introduced as devices that convert solar energy into electrical energy. The essay aims to discuss PV materials and drive down production costs to make solar energy more affordable and widespread. Lowering costs is important as solar energy is a renewable source that could become a primary source of electricity.
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Potential Induced Degradation of solar cells and panels
1. Potential Induced Degradation of solar cells and panels
J. Berghold, O. Frank, H. Hoehne, S. Pingel, B. Richardson*, M. Winkler
SOLON SE, Am Studio 16, 12489 Berlin, Germany
* SOLON CORPORATION, 6950 S. Country Club Rd, Tucson, Arizona 85756
ABSTRACT: This paper is focusing on Potential Induced Degradation (PID) of wafer based standard p-type
silicon technology once exposed to external potentials in the field. Test setups are presented for simulation of the
PID in the lab and the influence of cell properties on PID is demonstrated in order to reveal the cell being the
precondition for the PID. However, the solar cells need to be exposed to High Voltage Stress (HVS) caused by a
negative potential relative to ground in order to potentially cause any relevant PID in the field within the 25 years
life time of a solar panel. Besides the key parameters on cell level the paper is also presenting options on panel
and system level in order to prevent PID and therefore to further decrease overall degradation rates of PV
systems. Moreover, the impact of climatic conditions as temperature and humidity on the extent of PID was also
investigated and results are presented in the paper.
Keywords: Degradation, Reliability, Performance
1 INTRODUCTION
Since solar energy generation is getting more and
more important worldwide PV systems and solar parks
are becoming larger consisting of an increasing number
of solar panels being serially interconnected. As a
consequence panels are frequently exposed to high
potentials relative to ground causing High Voltage Stress
(HVS). The potential impact of voltage-biased humidity
exposure of solar panels on long term stability was first
addressed by Hoffman and Ross in 1978 [1] and studies
on the effect of HVS on long term stability of solar
panels depending on the leakage current between solar
cells and ground have been published by NREL in 2005
[2]. However, until now the degradation mechanism
correlated with HVS is not covered by the standard test
procedures listed in IEC 61215 [3].
Depending on the technology different types of Potential
Induced Degradation (PID) occur. The most prominent
case for PID in silicon solar cell technology is
Sunpower’s polarization effect [5] but also other
technologies like a-Si and ribbon silicon have been
reported in the past to be prone to different types of PID
under certain circumstances – either reversible e.g.
polarization or irreversible e.g. electro chemical
corrosion [4]. All known PID effects have one common
characteristic: The degradation is depending on polarity
and level/extent of the potential between cell and ground
which is determined by the actual configuration of the
PV system.
Up to now very different standards exist concerning the
configuration of PV systems. Whereas in Europe PV
systems are certified for voltages up to 1000V, in the US
only 600V are allowed according to NEC. Additionally
there are different regulations in respect to grounding for
different countries and districts. As a consequence the
market access for transformer less inverters technologies
which are very common in Europe is very restricted in
the US since according to NEC solid grounding of the
PV system is still the standard configuration.
However, there are intensive efforts being made in order
to achieve common standards aiming on 1000V as
maximum system voltage and the change of grounding
regulations in the US.
Whereas increasing system voltages and the introduction
of transformer less inverters certainly have a positive
impact on the overall cost efficiency of solar parks, it has
to be put into account that on the same time solar panels
are exposed to increasing HVS within solar systems. So
investigating PID for standard silicon cells can not only
avoid significant power degradation in future systems. It
also can be considered as a clear track for the reduction
of the overall degradation of a panel is therefore a
suitable method in order to expand the life time of a solar
panel even further.
2 OBJECTIVE
The focus of this paper is to present suitable methods
for measuring the PID on panel level as well as showing
possibilities to minimize/avoid PID on cell, panel and
system level.
It shall be demonstrated that although the precondition
for PID can be located at cell level it is the combination
of several parameters such as high potential relative to
ground, panel layout and environmental factors such as
humidity and temperature which are impacting the extent
of power degradation in the field within a panel’s life
time.
3 EXPERIMENTAL
3.1 PID setup for full size panels:
For the simulation of worst case scenarios in the field
two different accelerated test methods were applied in
order to measure PID on panel level.
In figure 1 the general setup is presented showing the
maximum negative voltage relative to ground in the field
being simulated by the application of a potential (1000
V) between the frame and the positive pole of the panel.
In order to increase the leakage current the glass surface
is covered with a constant and continuous water film
realized by a sprinkler. A stack set up was used in order
to study the impact of solar cell properties and panel
layout on the PID stability of up to 16 panels in parallel.
2. Figure 1: Principal test setup for PID measuremnts
For the investigation of the impact of environmental
factors single panels biased according to figure 1 were
placed in the climatic chamber in order to control
humidity and temperature.
3.2 PID setup for single-cell-laminates
For studying the impact of cell properties on PID
single cell laminates (see Figure 2) were built and HVS
was caused by applying - 1000 V to one of the cell poles.
The positive pole of the power supply is connected to a
wet blanket touching the sunny side of the single cell
laminate.
Figure 2: Single-cell-laminates
3.3 Standard test procedure for PID
For characterization of the cells and panels prior and
after the PID test an IV curve as well as a high resolution
electroluminescence (EL) image were captured.
The standard PID test was run for 100h.
To investigate the leakage currents from cell to ground an
ampere meter with data logger was used.
4 BACKGROUND AND APPROACH
In order to better understand the factors impacting
PID the three different levels – cell, panel and system –
were separately investigated.
4.1 Cell level
The cell was found to be the precondition for PID.
Some process steps as well as the quality of the base
material have been identified to significantly contribute
to the extent of PID tendency on cell level. In the result
chapter we take a closer look at the different cell
parameters influencing the PID.
4.2 Panel level
Environmental factors such as humidity and
temperature [2] as well as the panel design are
influencing leakage currents within the panel. The impact
of humidity and temperature is presented in Figure 3.
Figure 3: Dependency of panel leakage current on
temperature and humidity [2]
In case of solar cells being prone to PID high leakage
currents on panel level support PID. The interaction of
the different panel materials is resulting in certain leakage
current paths which are illustrated in Figure 4.
According to Mc Mahon et al [8] the leakage current path
Ip2 is dominating the others.
Higher leakage currents can be caused by water (vapor)
entering the solar panel causing the encapsulation (ENC)
material becoming more conductive.
Figure 4: Leakage currents paths within a solar panel
according to Mc Mahon et al [8]
As a consequence panel design and layout can impact the
leakage currents and therefore play a role for the HV-
durability of panels.
4.3 System level
On system level the potential difference between
ground and cell is the most important factor for PID. The
system voltage depends in first order on the number of
panels serially interconnected and the irradiation and in
second order on the panel temperature.
The final potential of a cell relative to ground is
determined by the grounding configuration. Depending
on the negative, positive or no pole being grounded the
resulting potential the cell is exposed to relative to
ground is either fixed at a certain positive or negative
value or it is not fixed – called floating potential. In the
latter case one part of the string has a negative and the
other a positive potential relative to ground.
3. -1000
-800
-600
-400
-200
0
200
400
600
800
1000
0 5 10 15 20
panel position in string
potential[V]
Floating
PV- grd
PV+ grd
Figure 5: Potential in a string, different grounding
schemes PV+/PV- and no grounding (floating potential)
5 RESULTS
5.1 Cell level
The following two graphs show the evolution of the
IV curve for a solar cell prone to PID and the
corresponding power degradation over time.
Figure 6: Evolution of the IV curve and the
corresponding power with progressing PID
As illustrated in
Table 1 in case of PID shunt resistance as well as the
reverse bias current are affected first followed by FF.
Finally the open circuit voltage decreases reflecting the
junction to be less capable of separating holes and
electrons.
t Uoc Isc P FF
I
(-12V) Rsh
[hr] [V] [A] [W] % [A] [ΩΩΩΩ]
0 0,615 8,240 3,61 71,4 0,21 80,4
20 0,619 8,261 3,66 71,5 0,22 80,4
40 0,615 8,258 3,62 71,3 0,30 51,1
80 0,600 8,109 2,65 54,6 >10 0,5
100 0,572 7,882 1,74 38,7 >10 0,2
rel.
PID -7% -4% -52% -46% -
-
100%
Table 1: Cell IV key parameter change by PID
The Isc is the parameter that is least affected but with
advancing PID Isc also degrades. Depending on the
degree of PID the junction is loosing its blocking
characteristic under reverse bias eventually being short
cutted (ohmic shunt). This phenomenon can be visualized
by EL images taken during a PID test shown in the upper
row of Figure 7. After 40hr local shunts appear along the
edge of the cell that degrade further from diode to ohmic
behavior, as can be seen in the reverse bias image in the
lower row of Figure 7. First shunted areas appear bright
but after further PID evolution these areas do not emit
any more breakdown light [6]. Finally after 100hr both
images are dark because of dominating ohmic shunts.
Figure 7: EL image of a cell during PID test (upper row)
and the corresponding reverse bias (-12V) image (lower
row)
The leakage current within the panel is resulting in a
certain charge concentration above the solar cell in the
ENC. Depending on certain cell properties these charges
might interact with the emitter and the depletion layer
finally causing shunting of the cell. From semiconductor
industry similar effects are known as (time dependent)
dielectric breakdown or surface inversion [5]. The
electric field of these charge carriers is influencing the p-
n-junction in that way that the junction gets more
conductive and the local shunt resistance drops.
There are numerous factors on cell level being important
in respect to PID. In the following we present the
parameters identified to have the most significant impact.
5.1.1 Anti-reflective coating
There are different parameters having an large impact
on PID but the ARC deposition was shown to have a
crucial role in not only influencing but actually
preventing PID on cell level.
In case of typical standard cells ARC is realized by SiNx
applied by a various deposition technologies resulting in
a certain thickness layer thickness and refractive index
(RI) determining the specific properties of the layer.
Figure 8 is illustrating the huge impact of parameter
variations for the ARC deposition on the extent on PID.
It also shows that by using suitable combination of RI
and thickness PID can be completely prevented on cell
level.
4. Figure 8: Dependency of PID on SiN RI and thickness.
For ARC deposition the third parameter having an impact
on PID was found to be the homogeneity of the resulting
SiN layer which was recognized to be clearly different for
various SiN deposition methods.
The observations made for the role of the SiN parameter
concerning PID can be explained by the different
conductivity of the resulting layer for different parameter
settings making trapping of charges more or less likely.
5.1.2 Wafer material
Also the wafer material has been identified to be
another crucial factor regarding PID. The most
significant parameter in this respect is the base resistivity.
As presented in Figure 9 an increasing base resistivity is
resulting in decreasing PID. Higher base resistivity
representing lower base doping leads to a wider depletion
layer at the junction when the emitter doping is held
constant. Accordingly shunting of the junction is less
likely.
Figure 9: Dependency of PID on base resistivity
Within different experiments with cell suppliers where
cells have been produced at constant cell processing
parameters utilizing different wafer suppliers a significant
batch dependence has been found. This could hint on
systematic variation of certain wafer properties relevant
for PID.
Lower quality silicon or comparably high concentration
of crystal defects seem to increase the tendency of PID
but results have to be further verified.
5.1.3 Emitter
Since the emitter process clearly influences the width
of the depletion layer it can definitely be influencing the
probability for shunting the PN-junction and therefore
the tendency for PID. As it can be seen in Figure 10 with
increasing emitter sheet resistivity PID is also increasing.
Figure 10: Dependency of PID on emitter sheet
resistance.
Beside the trend in solar industry to increase the emitter
sheet resistivity for solar cells it can be additionally
increased by new process steps such as emitter back
etching or the introduction of the selective emitter
process.
This example shows that process variations within the
cell process which are thought to be of no relevance for
the later application can lead to degradation when the cell
are exposed to an external potential later in the field.
Since there are many factors on cell level impacting PID
there is no easy distinction between cells more or less
prone to PID just by IV characterization. However, due
to the PID mechanism and the impacting factors
discussed above there are some IV characteristics that
hint on lower PID sensitivity: high shunt resistance and
low reverse bias current. Both parameters are depending
on local defects and base resistivity.
According to our recent results the most effective path for
prevention of PID on cell level is the selection of suitable
parameters (RI and thickness) for ARC deposition.
5.2 Panel level
Since PID is not yet completely excluded on cell
level for all industrial solar cells being produced today it
is certainly worthwhile to take a closer look on the
possibilities to minimize or exclude PID on the panel
level even in case of solar cells prone to PID. In Figure
11 there are shown EL images for a solar panel before
and after the PID test (1000V, 100hr).
According to the image after the test some cells degrade
strongly - finally being short circuited - while others
appear to be stable. Being the cell the origin for PID this
observation can be explained by variation of certain cell
properties relevant for PID as discussed in the chapter
above.
5. Figure 11: EL image of a panel before (upper) and after
(lower) 100hr 1000V PID test
The findings in the EL images do match the observed
power drop of about 30% found after the PID test.
The objective was to investigate how PID on panel level
can be influenced by the panel layout or design. Different
material combinations have been checked in respect to
whether or not the PID is rather supported or suppressed.
It turned out that an important factor is the type of ENC
material since the leakage current can be influenced. In
the following figure the leakage current is shown as a
function of time during a temperature ramp up from -
20°C to 48°C in a humid atmosphere (50% RH).
According to Figure 12 two different encapsulation
materials are causing the peak leakage current to differ by
more than one order of magnitude. The panel can be
described here as a capacitor being charged while the
temperature is rising. When finally the full capacity is
reached the current will drop again.
Figure 12: Leakage current for two panels with different
ENC materials during a temperature ramp from -20°C to
48°C with 1000V applied voltage (RH 50%).
As a consequence of this significant difference in leakage
current the PID results with varying ENC materials differ
strongly as shown in Figure 13.
0,0
20,0
40,0
60,0
80,0
100,0
Material A Material B Material C
relativePIDin%
Figure 13: PID comparison of three different ENC
materials in panels with prone solar cells
Since leakage current on panel level seems to be the key
feature for suppressing PID on panel level it was also
investigated how it is influenced by different
environmental factors such as temperature and moisture.
In the Arrhenius plot in Figure 14 it can be seen both
increasing temperature (T-ramp from -20 °C to 85°C) and
increasing humidity (0% versus 50%) resulting in higher
leakage currents.
Figure 14: Arrhenius plot for the leakage current
depending on temperature and humidity during PID test
(1000V, 100h).
The leakage current for the two test panels in this test
being exposed to different levels of relative humidity
(RH) also corresponds to the different extent of power
degradation (Table 2) obtained for different RH.
Material
combination
Conditions P in%
Material x T= 85°C; RH=0% - 10
Material x T= 85°C; RH=50% - 32
Material x T= 85°C; RH=100% - 99
Table 2: Power drop of three panels (same layout) after
PID test (1000V, 100h, in climatic chamber running a T
ramp -20°C to 85°C) being exposed to different RH.
Even if temperatures and humidity according to Table 2
are meant to be a worst case scenario they show very
impressively the potential impact of environmental
6. factors on PID.
In order to minimize or avoid PID on panel level and
therefore to increase life time and reliability suitable
material combinations and panel design have to be found
to ensure low leakage currents. In this case PID can be
successfully suppressed even for panels with solar cells
prone to PID.
Using PID suppressing encapsulation materials is one of
the layout options in this matter. There are alternative
materials to standard EVA better performing in respect to
PID but other criteria like price, handling, long term
stability issues and availability have to be taken into
account.
5.3 System level
As already mentioned one precondition for PID is the
existence of HVS which is very much influenced by the
specific system configuration – mainly by the kind of
grounding. As already shown in Figure 5 the kind of
grounding determines the potential relative to ground a
panel is exposed to which is also changing with panel
position within a string.
In absence of grounding resulting in a so called floating
potential there is only one part of the string being
exposed to a negative potential causing HVS potentially
turning into PID.
The higher the negative potential the panel is exposed to
the higher the extent of PID as illustrated by
corresponding EL images of a string within a floating
system in Figure 15.
PV- PV+
Figure 15: EL image of a PID affected string of a
floating test system. Only the panels marked by the red
arrow are exposed to a negative potential relative to
ground and therefore prone to PID.
Therefore avoiding negative potential relative to ground
is one way for p-type standard cells on system level in
order to minimize PID independent on cell and panel
properties. This could be achieved by grounding the
negative pole of the system. However, this is not always
possible since in the last few years inverter technologies
have been widely introduced particularly in Europe
which do not allow the grounding of the negative pole
due to the absence of transformers.
Nevertheless, it could be shown that PID cannot only be
prevented on system level by avoiding negative potential
it could also been shown that PID can even be recovered
by reversing the potential having caused the PID. By
showing the reversibility of the PID effect (provided
electrochemical corrosion is excluded) recovery methods
could be developed for affected panels as well as systems
in order to reverse the power loss caused by PID.
The reversibility of PID for solar panels has been
demonstrated in the lab on PID affected panels by
applying the reverse potential in respect to the one
originally causing PID. Whereas for standard like solar
panels the recovery has been done by applying a positive
potential as shown in Figure 16, for other technologies
like Sunpower’s back contact technology it was already
found in 2005 that the polarization effect [4] can be
reversed by applying a negative potential.
Figure 16: Degradation and recovery of panels in the lab
by reversing the applied potential
As a consequence grounding of the positive pole of the
PV system or even a potential shift towards positive
potential as illustrated in Figure 17 can not only prevent
PID on system level it also supports the regeneration of
the panels which is demonstrated in Figure 18.
Figure 17: System configurations supporting the
recovery of PID (solid ground or potential shift) versus
floating potential.
Figure 18: Regeneration of a test string with PID
affected panels by solid grounding of the negative pole
The time necessary for the recovery process depends not
only on the potential but – analog to the degradation
process - also on environmental factors such as humidity
and temperature.
7. 6 SUMMARY AND CONCLUSION
This paper addressed a degradation mechanism called
Potential Induced Degradation (PID) that is believed to
get increasing importance with growing PV systems and
corresponding higher system voltages. Moreover, there
will be an increasing need for further reduction of overall
degradation rates for PV system in order to make PV
systems even more profitable on the long term.
Summarizing all parameters supporting PID it has to be
concluded that there are four main factors to be taken
into account:
First the precondition is a solar cell prone to PID.
Second there has to be a panel layout not systemically
suppressing PID by particularly low leakage currents.
Third the panel has to be exposed to a negative potential
relative to ground.
Fourth the outer conditions have to be additionally
support high leakage currents as comparably high
moisture and temperatures.
Being aware of these main factors it was explained that -
although the origin of PID is on cell level – it can be
minimized or avoided on all levels – system, panel and
cell. The solution on system level is simply the avoidance
of negative potential by choosing suitable grounding of
the system. However, it has been suggested that also high
positive potentials relative to ground can cause
degradation as electrochemical corrosion [9].
This makes a solution on cell or panel level even more
favorable.
On panel level leakage current was identified to be the
main feature to keep as low as possible by a suitable
panel layout and design.
On cell level many parameters influence the PID stability
of solar cells but the most important parameter is found
to be the ARC deposition since by choosing of suitable
parameter settings PID can be banned on cell level. This
would be an enormous advantage since the system
approach by grounding is not always feasible due to the
use of transformer less inverters especially in Europe.
Taking these findings into account long term stability of
solar panels can be significantly improved by adapting
processes on all levels in order to minimize PID and
therefore optimize the energy output of the PV system
over a 25 years life time.
7 OUTLOOK
The scenarios investigated with laboratory and
outdoor tests are simulating worst case conditions with
high humidity and constantly high voltage. At SOLON an
experiment is going on directly comparing laboratory
results with outdoor data at the different SOLON test
sites (Germany, US and Italy) covering also the impact of
different environmental conditions.
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