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Arid Zone Journal of Engineering, Technology and Environment. August, 2013; Vol. 9: 69-81
Copyright© Faculty of Engineering, University of Maiduguri, Nigeria.
Print ISSN: 1596-2490, Electronic ISSN: 2545-5818
www.azojete.com.ng
69
PERFORMANCE EVALUATION OF POLYCRYSTALLINE SOLAR
PHOTOVOLTAIC MODULE IN WEATHER CONDITIONS OF MAIDUGURI,
NIGERIA
Mustapha I1
., Dikwa M. K2
., Musa B. U.1*
and Abbagana M.1
(1
Department of Electrical and Electronics Engineering, University of Maiduguri,
Nigeria
2
Department of Computer Engineering University of Maiduguri, Nigeria)
*Corresponding author’s e-mail address: musa_bu@yahoo.com
Abstract
Many Solar PV modules exhibit significant loss in their expected performance due to variations in weather
conditions such as ambient temperature and solar irradiance which result in inaccurate prediction of the module
performance in the field. Obviously, the Standard Test Conditions (STC) and the Nominal Operating Cell
Temperatures (NOCT) do not represent real operating conditions of PV module at the site of installation. This
paper evaluates the performance of commercially used polycrystalline solar photovoltaic module KD 315 under
Maiduguri-Nigeria weather conditions. The model of the PV module was implemented using a MATLAB
program and the model parameters are evaluated using daily data of temperature and solar irradiance obtained
from Maiduguri for a period of one year. Simulation results confirm that current generated is directly
proportional to solar irradiance and is almost independent of temperature. The voltage of the module decreases
by about 0.5% per degree centigrade temperature increase. It was found that the power produced by the panel is
dependent on the solar irradiance and ambient temperature. The manufacturer’s maximum power of 315 W was
achieved during the sunniest month. Thus the photovoltaic module exhibited good performance in the region
under study.
Keywords: Photovoltaic module, irradiance, temperature, voltage, current, Renewable
energy, cells
1. Introduction
The increasing energy demand and environmental problems in the world point out that the
research and development activities in the renewable energy sources are essential.
Renewable Energy (REN) resources have enormous potential and can meet the present world
energy demand. They can enhance diversity in energy supply markets, secure long-term
sustainable energy supplies, and reduce local and global atmospheric emissions (Ghoneim et
al., 2011). One of the most promising REN technologies is the photovoltaic (PV) technology.
Solar Photovoltaic (PV) system is increasingly attracting researchers due to its reliability and
minimal maintenance requirements. It can be used for a wide range of electrical energy
requirements, including solar home systems, water pumping, refrigeration and
telecommunications to mention a few. These applications have positive social and economic
impact on the lives of individual users, business and communities (Mellit, 2007).
Solar cells are devices that convert photons into electric potential in a Positive-Negative (PN)
silicon junction (or other material). A PV cell is a basic unit that generates voltage in the
range of 0.5 to 0.8 volts depending on the cell technology being used. Light of certain
wavelengths is able to ionize the atoms in the silicon and the internal field produced by the
junction separates some of the positive charges (holes) from the negative charges (electrons)
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
70
within the PV device. The holes are swept into the p-layer and the electrons are swept into n-
layer. Although these opposite charges are attracted to each other, most of them can only
recombine by passing through an external circuit outside the material because of the internal
potential energy barrier (Kanevce, 2007). There are essentially 3 different types of PV Panels,
Crystalline Silicon, Amorphous Silicon and other Thin Film technology PV Panels.
Crystalline Silicon panels are the oldest, most reliable and highly efficient PV panels in the
market today. Crystalline Panels can be further divided into Mono-Crystalline and Poly-
Crystalline panels.
Polycrystalline Solar cells are made from ingots of pure silicon, cast in manner that forms
large crystalline grains. The ingot is sliced into wafers, which are then processed. The
electrical output of a single cell is dependent on the design of the device and the
semiconductor material(s) chosen, but is usually insufficient for most applications. In order
to provide useful power for any application, the individual solar cells described above must
be connected together to give the appropriate current and voltage levels and they must also
be protected from damage by the environment in which they operate.
The performance of a Solar PV module is strongly dependent on some environmental
conditions such as solar irradiance and temperature. Therefore, knowledge and understanding
of the PV module performance under site of installation operating conditions is of great
importance for correct product selection and accurate prediction of their energy performance.
Many Solar PV modules exhibit a poor performance in the field due to inaccurate prediction
of the module expected performance in the field. A significant part of the loss in their
performance is due to variation in solar irradiance, Nominal Operating Cell Temperatures
(NOCT), and other localized climatic conditions. Due to the variations of environmental
conditions at each site, the Standard Test Conditions (STC) may not represent real operating
conditions of PV module at the site of installation.
Several studies have been conducted on the analysis of the environmental factors that
influence PV module performance (González-Longatt, 2006, Dzimano, 2008, Mustapha et al.,
2009, and Kerr and Cuevas, 2003). Kerr and Cuevas , (2003) presented a new technique that
can determine the current–voltage (I–V) characteristics of PV modules based on measuring
the open-circuit voltage (Voc) as a function of a light intensity. Dzimano(2008) investigated
the effects of temperature and radiation intensity on the performance parameters of
amorphous hydrogenated silicon (a-Si:H) photovoltaic module. Likewise Mustapha et al.,
(2009) investigated the effect of air mass factor on the performance of different types of PV
modules.
Maiduguri metropolis is the state Capital of Borno State. It is located in the Sahel Savanna
region of North-eastern Nigeria at latitude of 11o
51’ North and longitude 13o
09’ East and
350 m above sea level. It has relatively high average daily insolation ranging from 5
kWh/m2
/day to 7 kWh/m2
/day and higher solar altitude throughout the year, the average solar
radiation is about 550 W/m2
. Its mean annual rainfall and temperature are about 630 mm and
32o
C respectively.
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
71
This paper evaluates the performance of commercially used polycrystalline solar
photovoltaic module under Maiduguri weather conditions using solar irradiance and
atmospheric temperature as inputs parameters to the model.
2. Methodology
2.1 Modelling of PV Solar cell
Modelling of Solar PV cell involve the use of either the one-diode model or the two-diode
model to describe the electrical characteristics of solar cell. Each of these models establishes
relationships that enable current and voltage to be evaluated according to the irradiance and
temperature. The double-exponential model (with two diodes) is derived from the physics of
the p-n junction and is generally accepted as reflecting the behaviour of such cells, especially
those constructed from polycrystalline silicon. It is also suggested that cells constructed from
amorphous silicon, usually using thick-film deposition techniques, do not exhibit as sharp a
knee in the curve as do the crystalline types, and therefore the single exponential model (with
one diode) provides a better fit to such cells (Nema et al., 2010).
PV cells can be modelled as a current source in parallel with a diode. When there is no light
present to generate any current, the PV cell behaves like a diode i.e. a p-n junction. It
produces neither a current nor a voltage. However, if it is connected to an external supply it
generates current , called diode saturation current or dark current. As the intensity of
incident light increases, current is generated by the PV cell.
The equivalent circuit of the model which consists of a photo current, two diodes, a parallel
resistor expressing a leakage current, and a series resistor describing an internal
resistance to the current flow, is shown in Figure 1.
Figure 1: PV Cell Equivalent Circuit Model
Using Kirchhoff’s Current Law (KVL), the terminal current of the cell is:
(1)
where is the light-generated current which is directly proportional to the light falling on
the cell i.e solar irradiance , linearly related to cell temperature , and depends on the
materials used and fabrication processes. The diodes current are noted as and . and
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
72
are series and shunt resistance of the solar cell respectively. and are the diode
saturation currents of (Equation 2) and (Equation 3) respectively.
(2)
(3)
(4)
where is an ideal factor, is the elementary charge of value 1.6x10-19
Coulombs, is a
Boltzmann’s constant of value 1.38x10-23
J/K, are the saturation current of the
two diodes. The two diodes can be combined to simplify the equation to:
(5)
The photo generated current is given as :
(6)
where , , are the cell’s short-circuit current , solar irradiance and cell’s temperature
at Standard Test Conditions (STC) respectively. is the short circuit current at
temperature is the cell’s short-circuit current temperature coefficient.
(7)
On the other hand, the cell’s saturation current varies with the cell temperature, which is
described as
(8)
where is the open circuit voltage at Standard Test Conditions (STC) is the bang-gap
energy of the semiconductor used in the cell. Band gap of silicon is 1.12eV and that of
germanium 0.66 eV (Parthasarathy et al., 2011).The saturation current depends on the
diffusion coefficient of electrons and holes and is highly sensitive to temperature changes.
The saturation current at reference temperature is given as:
(9)
Series resistance inside each cell is :
(10)
(11)
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
73
The most important parameters widely used for describing the cell electrical performance is
the open-circuit voltage and the short-circuit current . Short circuit current is the
greatest value of the current generated by a cell. It is produced by the short circuit conditions
i.e V=0. Since normally >> and ignoring the small diode and ground-leakage currents
under zero-terminal voltage, the short-circuit current is approximately equal to the
photocurrent .
(12)
Open circuit voltage correspond to the voltage drop across the diode (p-n junction) when it is
transverse by the photocurrent , namely when the generated currents I = 0. It reflects the
voltage of the cell in the night and it can be mathematically expressed as:
(13)
where is the thermal voltage
(14)
The temperature of solar cell significantly affects the output power of a solar module and it
depends exclusively on the irradiation G and on the ambient temperature , according to the
equation:
(15)
where is a constant given as
(16)
The maximum power can be expressed as
= (17)
where and are terminal voltage and output current of PV module at Maximum
Power Point (MPP), and is the cell Fill Factor (FF) and is given as the maximum power that
can be delivered to the load divided by the product of .
(18)
2.2 Solar PV Module
In most commercial PV products, PV cells are generally connected in series configuration to
form a PV module in order to obtain adequate working voltage. PV modules are then
arranged in series-parallel structure to achieve desired power output.
Let and be the number of cells in series and in parallel in one PV panel respectively. The output
voltage and current of the panel are given by:
(19)
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
74
(20)
3. Results and discussion
The KD 315 PV module was chosen for the evaluation due to its wide applications in
developing countries such as Nigeria. The KD 315 module provides 315W maximum power
at STC, and it has 80 polycrystalline silicon cells connected serially. The key specifications of
the module are shown in Table 1.
Table 1 KD 315 module specifications
KD 315 PV Module Parameters (Zdanowicz et al., 2004)
Standard Test Conditions (STC)
STC = 1000 W/M2
irradiance, 25o
C module temperature, AM 1.5 spectrum*
Maximum Power Pmp 315 W
Voltage @ Vmp Vmp 39.8 V
Current @ imp Imp 7.92 A
Open circuit Voltage Voc 49.2 V
Short circuit Current Isc 8.50 A
Power Tolerance Ptolerance +5/-3%
Nominal Operating Cell Temperature Conditions (NOCT)
NOCT = 800 W/M2
irradiance, 20o
C ambient temperature, AM 1.5 spectrum*
Temperature TNOCT 45 o
C
Maximum Power Pmp 226 W
Voltage @ Vmp Vmp 35.8 V
Current @ imp Imp 6.34A
Open circuit Voltage Voc 45.0 V
Short circuit Current Isc 6.88 A
Temperature Coefficients
Maximum Power Pmp -0.51 %/ o
C
Voltage @ Vmp Vmp -0.52 %/ o
C
Current @ imp Imp 0.0064 %/ o
C
Open circuit Voltage Voc -0.36 %/ o
C
Short circuit Current Isc 0.061 %/ o
C
Cell Operating Temperature Toc -40 to +90
The model of the PV module was implemented using a MATLAB program. Newton-Raphson
method was used to solve systems of nonlinear equations. The model parameters which
included voltage current and power were evaluated using daily temperature and solar
irradiance data obtained from Nigerian Meteorological Department, Maiduguri. The data
covered the twelve months (January to December) of the year 2010.
Figures 2 and 3 show the solar irradiances with respect to day and month respectively, for the
year 2010. The Figure 2 shows that the average daily insolation varied largely with periods.
The sunniest month in the year which was April (Figure 3) had an average insolation of 0.8
kW/m2
, which was about 37.5% more than the least sunny month in the year, August, which
received an average insolation of 0.5 kW/m2
. Also the average insolation throughout the year
was about 0.6 kW/m2
.
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
75
Figure 2: Annual daily solar irradiance
Figure 3: Solar irradiance vs month
Figures 4 and 5 show the ambient temperatures with respect to day and month respectively,
for the year 2010. The Figures reveal that month of April had the highest average temperature
of about 43o
C while month of August had the lowest average temperature of about 31o
C
which was 38.7% less than the highest average temperature. The average temperature of the
year was 37o
C, about 48% more than the temperature at STC.
Figure 4: Annual dailyambient temperature
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
76
Figure 5: Ambient temperature vs months
Figures 6 7 show that power generated varied with seasons. For example more power was
generated in the dry season (February to May) than in the rainy season (June to September). It
was also observed that power generated in the sunniest month of the year (April) was 39%
more than the power generated in August which was the least sunny month of the year. Power
generated in the sunniest month of the year was close to the theoretical maximum power level
assumed in solar panel specifications at STC. This suggests that the module can function
normally in this part of the country without difficulties.
Figure 6: Current vs time for a sample day
Figure 7: Power vs time for a sample month
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
77
Figures 8 and 9 show the effect of temperature on the voltage, current and power output
respectively, of a solar module. It was observed that module current increased by 0.1 A/o
C
with increase in temperature, while module voltage decreased by 0.05 V/o
C. On the other
hand, power increased with increase in temperature. It can be observed that currents increased
more rapidly than the voltage per degree rise in temperature. The consequence was that the
power (the product of the two) increased with temperature.
Figure 8: Module voltage/current vs temperature
Figure 9: Module power vs temperature
Figures 10 and 11 show Cell and Module I-V curves at different insolations. The results
reveal that as irradiance increased from 200 W/m2
to 1000 W/m2
at constant temperature, both
the cell and the module output current increased rapidly while the voltage remained almost
constant. For example, an increase in irradiance from 0.6 kW/m2
to 0.8 kW/m2
, increased the
module current by 36%. This indicates that irradiance has insignificant effect on the output
current than the output voltage.
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
78
Figure 10: I-V curves of solar cell at different irradiance levels
Figure 11: I-V curves for solar module at different irradiances
Figures 12 and 13 show cell and module I-V curves respectively, at various temperatures. It
was observed that as the cell and module temperature rose above the standard operating
temperature of 25o
C, the output current increased significantly while the output voltage
decreased slowly. Generally between 25o
C and 55o
C, the module voltage decreased by 9.5%
which is approximately 0.32% per degree Celsius while module current increased by 30.1%.
This indicates that the generation of electron-hole pair in the photovoltaic module which leads
to increase in the mobility within the p-n junction, increased the current of the module.
Figure 12: I-V curves of solar cell at various temperatures
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
79
Figure 13: I-V curves of solar module at various temperatures
Figures 14 and 15 show Cell and Module PV curves at different irradiances. These curves
reveal that as irradiance increased from 200 W/m2
to 1000 W/m2
at constant temperature, both
the cell and the module output power increased rapidly while the voltage remained almost
constant. For example, when the irradiance increased from 0.6 kW/m2
to 0.8 kW/m2
, the
module power increased by 22.2%. This indicates that module power is directly dependent on
the amount of solar irradiation striking the surface of the PV module.
Figure 14: I-V curves of solar cell at various irradiances
Figure 15: PV curves of solar module at various irradiances
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
80
Figures 16 and 17 show the cell and module PV curves respectively, at various temperatures.
It can be seen from these Figures that as the cell and module temperature rose above the
standard operating temperature of 25o
C, the output power increased significantly while the
output voltage decreased slowly. Generally increase in temperature from 25o
C to 75o
C
increased the power by 10.7%. This indicates that increase in temperature increased electron-
hole mobility within the p-n junction which lead to increase in power of the module.
Figure 16: PV curves of solar cell at various temperatures
Figure 17: I-V curves of solar module at various temperatures
4. Conclusions
The effect of environmental factors such as temperature and solar irradiation on the
performance of polycrystalline PV module in Maiduguri was examined. Simulation results
show that there is a direct proportionality between solar irradiation, temperature, output
current and power of the photovoltaic module. Also, the manufacturer’s nominal power of
220 W was achieved under the Maiduguri operating conditions. Thus it can be concluded that
the PV module investigated can be safely deployed without difficulty here in Maiduguri.
References
Ghoneim, AA., Kandil, KM., Al-Hasan, AY., Altouq, MS., Al-Asaad, AM., Alshamari, LM.
and Shamsaldein, AA. 2011. Analysis of performance parameters of amorphous Photovoltaic
Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of
Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013
81
Modules under different environmental conditions. Energy Science and Technology, 2 (1):
43-50.
Mellit, A. 2007. Modelling and simulation of a stand-alone photovoltaic system using an
adaptive artificial neural network: Proposition for a new sizing procedure. Renewable Energy,
32: 285-313.
Kanevce, A. 2007. Anticipated Performance of Cu (In,Ga)Se2 Solar Cells in the Thin-Film
Limit. PhD Thesis, Colorado State University.
González-Longatt, F. 2006. Model of photovoltaic in MatlabTM. 2do Congreso
Iberoamericano de Estudiantes de Ingeniería Eléctrica, Electrónica y Computación (II
CIBELEC 2005). Puerto la Cruz – Venezuela.
Dzimano, BS. 2008. Modeling of photovoltaic systems. MS Thesis, Ohio State University, pp
6- 23.
Mustapha, I., Mustapha, K. and Mustapha, BM. 2009. Development of solar photovoltaic
system sizing software. Journal of Engineering and Industrial Design, 1:94-106.
Kerr, MJ. and Cuevas, A. 2003. Generalized analysis of the illumination intensity of VS
open-circuit voltage of PV modules. Solar Energy, 76:263–267.
Nema, S., Nema, RK. and Agnihotri, G 2010 Matlab/ Simulink based study of Photovoltaic
Cells/ Modules/Array and their experimental verification. International Journal of Energy and
Environment, 1, (3):487-500.
Parthasarathy, S., Thilakan, P., Neelamegam, P., Srinath, RN. and Kandrika, BN. 2011.
Studies on the assembly induced performance losses in Multi-Crystalline Silicon solar PV
module. European Journal of Scientific Research, 62 (2): 248-256.
Zdanowicz, T. Rodziewicz, T. and Zabkowska, M. 2004. Effect of air mass factor on the
performance of different type of PV modules. Opto-Electronics Review, 12(1): 69-73.

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7 article azojete vol 9 69 81

  • 1. Arid Zone Journal of Engineering, Technology and Environment. August, 2013; Vol. 9: 69-81 Copyright© Faculty of Engineering, University of Maiduguri, Nigeria. Print ISSN: 1596-2490, Electronic ISSN: 2545-5818 www.azojete.com.ng 69 PERFORMANCE EVALUATION OF POLYCRYSTALLINE SOLAR PHOTOVOLTAIC MODULE IN WEATHER CONDITIONS OF MAIDUGURI, NIGERIA Mustapha I1 ., Dikwa M. K2 ., Musa B. U.1* and Abbagana M.1 (1 Department of Electrical and Electronics Engineering, University of Maiduguri, Nigeria 2 Department of Computer Engineering University of Maiduguri, Nigeria) *Corresponding author’s e-mail address: musa_bu@yahoo.com Abstract Many Solar PV modules exhibit significant loss in their expected performance due to variations in weather conditions such as ambient temperature and solar irradiance which result in inaccurate prediction of the module performance in the field. Obviously, the Standard Test Conditions (STC) and the Nominal Operating Cell Temperatures (NOCT) do not represent real operating conditions of PV module at the site of installation. This paper evaluates the performance of commercially used polycrystalline solar photovoltaic module KD 315 under Maiduguri-Nigeria weather conditions. The model of the PV module was implemented using a MATLAB program and the model parameters are evaluated using daily data of temperature and solar irradiance obtained from Maiduguri for a period of one year. Simulation results confirm that current generated is directly proportional to solar irradiance and is almost independent of temperature. The voltage of the module decreases by about 0.5% per degree centigrade temperature increase. It was found that the power produced by the panel is dependent on the solar irradiance and ambient temperature. The manufacturer’s maximum power of 315 W was achieved during the sunniest month. Thus the photovoltaic module exhibited good performance in the region under study. Keywords: Photovoltaic module, irradiance, temperature, voltage, current, Renewable energy, cells 1. Introduction The increasing energy demand and environmental problems in the world point out that the research and development activities in the renewable energy sources are essential. Renewable Energy (REN) resources have enormous potential and can meet the present world energy demand. They can enhance diversity in energy supply markets, secure long-term sustainable energy supplies, and reduce local and global atmospheric emissions (Ghoneim et al., 2011). One of the most promising REN technologies is the photovoltaic (PV) technology. Solar Photovoltaic (PV) system is increasingly attracting researchers due to its reliability and minimal maintenance requirements. It can be used for a wide range of electrical energy requirements, including solar home systems, water pumping, refrigeration and telecommunications to mention a few. These applications have positive social and economic impact on the lives of individual users, business and communities (Mellit, 2007). Solar cells are devices that convert photons into electric potential in a Positive-Negative (PN) silicon junction (or other material). A PV cell is a basic unit that generates voltage in the range of 0.5 to 0.8 volts depending on the cell technology being used. Light of certain wavelengths is able to ionize the atoms in the silicon and the internal field produced by the junction separates some of the positive charges (holes) from the negative charges (electrons)
  • 2. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 70 within the PV device. The holes are swept into the p-layer and the electrons are swept into n- layer. Although these opposite charges are attracted to each other, most of them can only recombine by passing through an external circuit outside the material because of the internal potential energy barrier (Kanevce, 2007). There are essentially 3 different types of PV Panels, Crystalline Silicon, Amorphous Silicon and other Thin Film technology PV Panels. Crystalline Silicon panels are the oldest, most reliable and highly efficient PV panels in the market today. Crystalline Panels can be further divided into Mono-Crystalline and Poly- Crystalline panels. Polycrystalline Solar cells are made from ingots of pure silicon, cast in manner that forms large crystalline grains. The ingot is sliced into wafers, which are then processed. The electrical output of a single cell is dependent on the design of the device and the semiconductor material(s) chosen, but is usually insufficient for most applications. In order to provide useful power for any application, the individual solar cells described above must be connected together to give the appropriate current and voltage levels and they must also be protected from damage by the environment in which they operate. The performance of a Solar PV module is strongly dependent on some environmental conditions such as solar irradiance and temperature. Therefore, knowledge and understanding of the PV module performance under site of installation operating conditions is of great importance for correct product selection and accurate prediction of their energy performance. Many Solar PV modules exhibit a poor performance in the field due to inaccurate prediction of the module expected performance in the field. A significant part of the loss in their performance is due to variation in solar irradiance, Nominal Operating Cell Temperatures (NOCT), and other localized climatic conditions. Due to the variations of environmental conditions at each site, the Standard Test Conditions (STC) may not represent real operating conditions of PV module at the site of installation. Several studies have been conducted on the analysis of the environmental factors that influence PV module performance (González-Longatt, 2006, Dzimano, 2008, Mustapha et al., 2009, and Kerr and Cuevas, 2003). Kerr and Cuevas , (2003) presented a new technique that can determine the current–voltage (I–V) characteristics of PV modules based on measuring the open-circuit voltage (Voc) as a function of a light intensity. Dzimano(2008) investigated the effects of temperature and radiation intensity on the performance parameters of amorphous hydrogenated silicon (a-Si:H) photovoltaic module. Likewise Mustapha et al., (2009) investigated the effect of air mass factor on the performance of different types of PV modules. Maiduguri metropolis is the state Capital of Borno State. It is located in the Sahel Savanna region of North-eastern Nigeria at latitude of 11o 51’ North and longitude 13o 09’ East and 350 m above sea level. It has relatively high average daily insolation ranging from 5 kWh/m2 /day to 7 kWh/m2 /day and higher solar altitude throughout the year, the average solar radiation is about 550 W/m2 . Its mean annual rainfall and temperature are about 630 mm and 32o C respectively.
  • 3. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 71 This paper evaluates the performance of commercially used polycrystalline solar photovoltaic module under Maiduguri weather conditions using solar irradiance and atmospheric temperature as inputs parameters to the model. 2. Methodology 2.1 Modelling of PV Solar cell Modelling of Solar PV cell involve the use of either the one-diode model or the two-diode model to describe the electrical characteristics of solar cell. Each of these models establishes relationships that enable current and voltage to be evaluated according to the irradiance and temperature. The double-exponential model (with two diodes) is derived from the physics of the p-n junction and is generally accepted as reflecting the behaviour of such cells, especially those constructed from polycrystalline silicon. It is also suggested that cells constructed from amorphous silicon, usually using thick-film deposition techniques, do not exhibit as sharp a knee in the curve as do the crystalline types, and therefore the single exponential model (with one diode) provides a better fit to such cells (Nema et al., 2010). PV cells can be modelled as a current source in parallel with a diode. When there is no light present to generate any current, the PV cell behaves like a diode i.e. a p-n junction. It produces neither a current nor a voltage. However, if it is connected to an external supply it generates current , called diode saturation current or dark current. As the intensity of incident light increases, current is generated by the PV cell. The equivalent circuit of the model which consists of a photo current, two diodes, a parallel resistor expressing a leakage current, and a series resistor describing an internal resistance to the current flow, is shown in Figure 1. Figure 1: PV Cell Equivalent Circuit Model Using Kirchhoff’s Current Law (KVL), the terminal current of the cell is: (1) where is the light-generated current which is directly proportional to the light falling on the cell i.e solar irradiance , linearly related to cell temperature , and depends on the materials used and fabrication processes. The diodes current are noted as and . and
  • 4. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 72 are series and shunt resistance of the solar cell respectively. and are the diode saturation currents of (Equation 2) and (Equation 3) respectively. (2) (3) (4) where is an ideal factor, is the elementary charge of value 1.6x10-19 Coulombs, is a Boltzmann’s constant of value 1.38x10-23 J/K, are the saturation current of the two diodes. The two diodes can be combined to simplify the equation to: (5) The photo generated current is given as : (6) where , , are the cell’s short-circuit current , solar irradiance and cell’s temperature at Standard Test Conditions (STC) respectively. is the short circuit current at temperature is the cell’s short-circuit current temperature coefficient. (7) On the other hand, the cell’s saturation current varies with the cell temperature, which is described as (8) where is the open circuit voltage at Standard Test Conditions (STC) is the bang-gap energy of the semiconductor used in the cell. Band gap of silicon is 1.12eV and that of germanium 0.66 eV (Parthasarathy et al., 2011).The saturation current depends on the diffusion coefficient of electrons and holes and is highly sensitive to temperature changes. The saturation current at reference temperature is given as: (9) Series resistance inside each cell is : (10) (11)
  • 5. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 73 The most important parameters widely used for describing the cell electrical performance is the open-circuit voltage and the short-circuit current . Short circuit current is the greatest value of the current generated by a cell. It is produced by the short circuit conditions i.e V=0. Since normally >> and ignoring the small diode and ground-leakage currents under zero-terminal voltage, the short-circuit current is approximately equal to the photocurrent . (12) Open circuit voltage correspond to the voltage drop across the diode (p-n junction) when it is transverse by the photocurrent , namely when the generated currents I = 0. It reflects the voltage of the cell in the night and it can be mathematically expressed as: (13) where is the thermal voltage (14) The temperature of solar cell significantly affects the output power of a solar module and it depends exclusively on the irradiation G and on the ambient temperature , according to the equation: (15) where is a constant given as (16) The maximum power can be expressed as = (17) where and are terminal voltage and output current of PV module at Maximum Power Point (MPP), and is the cell Fill Factor (FF) and is given as the maximum power that can be delivered to the load divided by the product of . (18) 2.2 Solar PV Module In most commercial PV products, PV cells are generally connected in series configuration to form a PV module in order to obtain adequate working voltage. PV modules are then arranged in series-parallel structure to achieve desired power output. Let and be the number of cells in series and in parallel in one PV panel respectively. The output voltage and current of the panel are given by: (19)
  • 6. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 74 (20) 3. Results and discussion The KD 315 PV module was chosen for the evaluation due to its wide applications in developing countries such as Nigeria. The KD 315 module provides 315W maximum power at STC, and it has 80 polycrystalline silicon cells connected serially. The key specifications of the module are shown in Table 1. Table 1 KD 315 module specifications KD 315 PV Module Parameters (Zdanowicz et al., 2004) Standard Test Conditions (STC) STC = 1000 W/M2 irradiance, 25o C module temperature, AM 1.5 spectrum* Maximum Power Pmp 315 W Voltage @ Vmp Vmp 39.8 V Current @ imp Imp 7.92 A Open circuit Voltage Voc 49.2 V Short circuit Current Isc 8.50 A Power Tolerance Ptolerance +5/-3% Nominal Operating Cell Temperature Conditions (NOCT) NOCT = 800 W/M2 irradiance, 20o C ambient temperature, AM 1.5 spectrum* Temperature TNOCT 45 o C Maximum Power Pmp 226 W Voltage @ Vmp Vmp 35.8 V Current @ imp Imp 6.34A Open circuit Voltage Voc 45.0 V Short circuit Current Isc 6.88 A Temperature Coefficients Maximum Power Pmp -0.51 %/ o C Voltage @ Vmp Vmp -0.52 %/ o C Current @ imp Imp 0.0064 %/ o C Open circuit Voltage Voc -0.36 %/ o C Short circuit Current Isc 0.061 %/ o C Cell Operating Temperature Toc -40 to +90 The model of the PV module was implemented using a MATLAB program. Newton-Raphson method was used to solve systems of nonlinear equations. The model parameters which included voltage current and power were evaluated using daily temperature and solar irradiance data obtained from Nigerian Meteorological Department, Maiduguri. The data covered the twelve months (January to December) of the year 2010. Figures 2 and 3 show the solar irradiances with respect to day and month respectively, for the year 2010. The Figure 2 shows that the average daily insolation varied largely with periods. The sunniest month in the year which was April (Figure 3) had an average insolation of 0.8 kW/m2 , which was about 37.5% more than the least sunny month in the year, August, which received an average insolation of 0.5 kW/m2 . Also the average insolation throughout the year was about 0.6 kW/m2 .
  • 7. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 75 Figure 2: Annual daily solar irradiance Figure 3: Solar irradiance vs month Figures 4 and 5 show the ambient temperatures with respect to day and month respectively, for the year 2010. The Figures reveal that month of April had the highest average temperature of about 43o C while month of August had the lowest average temperature of about 31o C which was 38.7% less than the highest average temperature. The average temperature of the year was 37o C, about 48% more than the temperature at STC. Figure 4: Annual dailyambient temperature
  • 8. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 76 Figure 5: Ambient temperature vs months Figures 6 7 show that power generated varied with seasons. For example more power was generated in the dry season (February to May) than in the rainy season (June to September). It was also observed that power generated in the sunniest month of the year (April) was 39% more than the power generated in August which was the least sunny month of the year. Power generated in the sunniest month of the year was close to the theoretical maximum power level assumed in solar panel specifications at STC. This suggests that the module can function normally in this part of the country without difficulties. Figure 6: Current vs time for a sample day Figure 7: Power vs time for a sample month
  • 9. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 77 Figures 8 and 9 show the effect of temperature on the voltage, current and power output respectively, of a solar module. It was observed that module current increased by 0.1 A/o C with increase in temperature, while module voltage decreased by 0.05 V/o C. On the other hand, power increased with increase in temperature. It can be observed that currents increased more rapidly than the voltage per degree rise in temperature. The consequence was that the power (the product of the two) increased with temperature. Figure 8: Module voltage/current vs temperature Figure 9: Module power vs temperature Figures 10 and 11 show Cell and Module I-V curves at different insolations. The results reveal that as irradiance increased from 200 W/m2 to 1000 W/m2 at constant temperature, both the cell and the module output current increased rapidly while the voltage remained almost constant. For example, an increase in irradiance from 0.6 kW/m2 to 0.8 kW/m2 , increased the module current by 36%. This indicates that irradiance has insignificant effect on the output current than the output voltage.
  • 10. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 78 Figure 10: I-V curves of solar cell at different irradiance levels Figure 11: I-V curves for solar module at different irradiances Figures 12 and 13 show cell and module I-V curves respectively, at various temperatures. It was observed that as the cell and module temperature rose above the standard operating temperature of 25o C, the output current increased significantly while the output voltage decreased slowly. Generally between 25o C and 55o C, the module voltage decreased by 9.5% which is approximately 0.32% per degree Celsius while module current increased by 30.1%. This indicates that the generation of electron-hole pair in the photovoltaic module which leads to increase in the mobility within the p-n junction, increased the current of the module. Figure 12: I-V curves of solar cell at various temperatures
  • 11. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 79 Figure 13: I-V curves of solar module at various temperatures Figures 14 and 15 show Cell and Module PV curves at different irradiances. These curves reveal that as irradiance increased from 200 W/m2 to 1000 W/m2 at constant temperature, both the cell and the module output power increased rapidly while the voltage remained almost constant. For example, when the irradiance increased from 0.6 kW/m2 to 0.8 kW/m2 , the module power increased by 22.2%. This indicates that module power is directly dependent on the amount of solar irradiation striking the surface of the PV module. Figure 14: I-V curves of solar cell at various irradiances Figure 15: PV curves of solar module at various irradiances
  • 12. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 80 Figures 16 and 17 show the cell and module PV curves respectively, at various temperatures. It can be seen from these Figures that as the cell and module temperature rose above the standard operating temperature of 25o C, the output power increased significantly while the output voltage decreased slowly. Generally increase in temperature from 25o C to 75o C increased the power by 10.7%. This indicates that increase in temperature increased electron- hole mobility within the p-n junction which lead to increase in power of the module. Figure 16: PV curves of solar cell at various temperatures Figure 17: I-V curves of solar module at various temperatures 4. Conclusions The effect of environmental factors such as temperature and solar irradiation on the performance of polycrystalline PV module in Maiduguri was examined. Simulation results show that there is a direct proportionality between solar irradiation, temperature, output current and power of the photovoltaic module. Also, the manufacturer’s nominal power of 220 W was achieved under the Maiduguri operating conditions. Thus it can be concluded that the PV module investigated can be safely deployed without difficulty here in Maiduguri. References Ghoneim, AA., Kandil, KM., Al-Hasan, AY., Altouq, MS., Al-Asaad, AM., Alshamari, LM. and Shamsaldein, AA. 2011. Analysis of performance parameters of amorphous Photovoltaic
  • 13. Mustapha et al: Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria. AZOJETE, 9: 69-81, 2013 81 Modules under different environmental conditions. Energy Science and Technology, 2 (1): 43-50. Mellit, A. 2007. Modelling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure. Renewable Energy, 32: 285-313. Kanevce, A. 2007. Anticipated Performance of Cu (In,Ga)Se2 Solar Cells in the Thin-Film Limit. PhD Thesis, Colorado State University. González-Longatt, F. 2006. Model of photovoltaic in MatlabTM. 2do Congreso Iberoamericano de Estudiantes de Ingeniería Eléctrica, Electrónica y Computación (II CIBELEC 2005). Puerto la Cruz – Venezuela. Dzimano, BS. 2008. Modeling of photovoltaic systems. MS Thesis, Ohio State University, pp 6- 23. Mustapha, I., Mustapha, K. and Mustapha, BM. 2009. Development of solar photovoltaic system sizing software. Journal of Engineering and Industrial Design, 1:94-106. Kerr, MJ. and Cuevas, A. 2003. Generalized analysis of the illumination intensity of VS open-circuit voltage of PV modules. Solar Energy, 76:263–267. Nema, S., Nema, RK. and Agnihotri, G 2010 Matlab/ Simulink based study of Photovoltaic Cells/ Modules/Array and their experimental verification. International Journal of Energy and Environment, 1, (3):487-500. Parthasarathy, S., Thilakan, P., Neelamegam, P., Srinath, RN. and Kandrika, BN. 2011. Studies on the assembly induced performance losses in Multi-Crystalline Silicon solar PV module. European Journal of Scientific Research, 62 (2): 248-256. Zdanowicz, T. Rodziewicz, T. and Zabkowska, M. 2004. Effect of air mass factor on the performance of different type of PV modules. Opto-Electronics Review, 12(1): 69-73.