Agricultural Grid Connected Photovoltaic System Design and Simulation
in Egypt by using PVSYST Software
HANAA M.FARGHALLY, EMAD A. SWEELEM, MOHAMED I. ABU EL-SEBAH,
FATHY A. SYAM
Electronics Research Institute, Cairo, Joseph Tito St, Huckstep, El Nozha,
Cairo Governorate 4473221,
EGYPT
Abstract:- Agricultural Photovoltaic Systems are a key technology to achieve sustainable development goals by
reducing competition between land for food and electricity. In addition, Agricultural Photovoltaic Systems are at
the heart of the link between power generation, crop production and irrigation water conservation. The main
ecophysiological constraint on crop production under photovoltaics is the reduction of light. It is difficult to
recommend shade tolerance for some plant varieties due to insufficient information on shading conditions for most
plants. The use of shading panels (photovoltaic panels) requires more crop-specific research to determine the
optimal percentage of panels and their placement that will not reduce agricultural yields. Crop yield variation
versus field shading and availability to maximize the system require extensive research. This study aims to develop
a standard procedure for designing an agricultural grid-connected photovoltaic power generation system for solar
power generation in an agricultural area in Bahteem, Egypt. The technical and annual performance of the grid-
connected PV system was simulated using PV Syst software. The paper started with a pre-feasibility study of a
grid-connected photovoltaic system using PV Syst. Software with an extensive database of meteorological data,
including global daily horizontal solar irradiance, and a database of various renewable energy system components
from different manufacturers. In this work, a comprehensive literature review of agricultural solar photovoltaic
systems is conducted, with a particular focus on grid-connected systems, followed by a design procedure for grid-
connected solar photovoltaic systems. The planned photovoltaic system will generate a total of 400 KWp of
electricity. This generated electricity can drive down electricity prices by exporting excess electricity to the
national grid. In addition, solar power systems are fuel-efficient and have a low environmental impact.
Key-Words:- Agrivoltaics, Solar photovoltaic, Land use, Energy, agriculture.
Received: April 16, 2022. Revised: November 2, 2022. Accepted: November 21, 2022. Published: December 31, 2022.
1 Introduction
By 2050, the world population is projected to grow to
9.6 billion. At the same time, people are looking for
the basic needs of a decent life, which increases the
demand for food and energy. Population increases
also affect per capita land availability and land
quality. Some lands that could be used to support a
growing population are becoming unproductive or
degraded due to a variety of reasons such as
desertification, salinization, and waste disposal [1].
Desertification is the result of land degradation
leading to reduced land productivity and complete
abandonment of agricultural land, leading to a food
crisis. Arid regions with severely degraded land
threaten severe desertification. Deserts continue to
increase around the world compared to agricultural
land, and this is most severe in arid and semi-arid
regions [2]. Modern agriculture relies heavily on
electricity and energy, mainly generated from
traditional fossil fuels, so solar photovoltaic
technology can be an ideal backup energy source,
providing sustainable clean energy with low
greenhouse gas emissions [3]. The operation of
applying solar photovoltaic technology to agricultural
activities is called photovoltaic agriculture or agro-
photovoltaic, in which the electricity generated by the
solar photovoltaic system is used to meet the
electricity demand of agricultural production activities
such as irrigation, planting and irrigation. Over the
past 20 years, many scholars have conducted
economic research and experimented with this
application.[4]. Given the need to increase energy and
food production in the future, agricultural
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Hanaa M. Farghally, Emad A. Sweelem,
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photovoltaic systems (AVS) have been identified as
hybrid systems that combine photovoltaics and
agriculture simultaneously in the same area [5].
Depending on climate and cultivar choice, combining
the two production methods may improve crop yields
and, in some cases, even benefit each other, as the
water evaporated from the plants helps lower the
operating temperature of PV modules. In some cases,
however, crop yields increased as solar panels
relieved some of the stress on plants from heat and
UV damage.AVS has been shown to benefit plants
grown under photovoltaic panels (PVP) and
themselves [6]. According to Marrou, Dufour, et al.
Plants in the shade of photovoltaic panels increase
yield because evaporation is reduced by 10-30% when
available sunlight is 50-70%. Therefore, agri-PV
systems may be suitable for dry areas or periods of
drought due to reduced water requirements (Marrou et
al., Adeh et al.) [7]. In addition, PVP protects against
solar radiation and avoids sunburn, frost and hail. Due
to the high temperature, PVP is less efficient.
However, in agro-PV systems, the ambient
temperature is reduced due to the location of the
crops, so the power generation is not reduced (Barron-
Gafford et al,). Supporting a 60% increase in field
productivity for these systems increases in 60% -70%.
The agri-voltaic system has been proposed as a mixed
system, combining photovoltaic with agriculture at the
same time on the same land to capture solar energy,
for both energy generation and food production while
maximizing the solar efficiency on the land.More than
three decades ago, in 1982, Goetzberger and Zastrow
introduced the idea of AVSRecently, several
commercial AVS plants and small-scale research
facilities have been established around the world
(Obergfell et al.)[8]. According to numerous research
(Dupraz et al.; Elamri et al.; Valle et al.), APV can
boost land production. As a result, it presents
enormous promise as a co-productive, resource-
efficient renewable energy system in areas with a high
population density or a little amount of land, including
hilly areas and islands (Dinesh and Pearce) [9].
Although many synergistic side effects are possible,
semi-arid and arid regions are predicted to have the
most potential (Marrou et al.; Ravi et al.). Here,
intense solar radiation and associated water losses
frequently have a negative impact on agricultural
growth, [10]. In PV installations, it has been
demonstrated that water consumption efficiency rises
underneath the panels (HassanpourAdeh et al.);
similar outcomes have been seen in APV
systems.(Elamri et al.; Marrou et al.).These results
become even more relevant as future climate change
is expected to lead to increased demand for irrigation
water (Elamri et al.; Hannah et al.), [11]. The
reduction in solar radiation caused by the PV panels
may directly help crops grown in arid conditions in
addition to improving water productivity
(Harinarayana and Vasavi) [12]. In addition to
improving crop production, the use of APV increases
farming's profitability by generating additional
income through energy production (Dinesh and
Pearce; Malu et al.); it may also enhance rural, off-
grid electrification as part of decentralized energy
systems (Burney et al.; Harinarayana and Vasavi) [13]
As a result, APV can be a crucial part of systems for
producing renewable energy in the future while also
ensuring the economic feasibility of agriculture and
food production (Dinesh and Pearce) [14]. Regarding
the land-use conflict, the actual value of APV's
integrated food and energy production system requires
a clear distinction from PV systems that produce
energy primarily. To do this, a significant level of
crop output must be maintained. The first field tests
examining the application of this technology and its
effects on crop cultivation have demonstrated that
combined PV and food-crop systems can utilize less
land than independent production methods (Dupraz et
al.; Marrou et al.) [15]. By increasing PV module
density and lowering crop-available radiation, it is
possible to increase electrical yield and financial
profit (Duprazet al.). This underlines the importance
of finding the right balance between food and energy
production. The effects of APVS on plant
development and performance are unavoidable, but
only a few plant species have been scientifically
studied to date, such as lettuce, cucumber, and durum
wheat (see Marrou et al.) [16]. This suggests that
further research is needed.This paper focuses on the
simulation of grid-connected agricultural PV plants
and explains the design process to alleviate issues
related to PV module selection, inverter performance,
string arrangement, etc
2 The Proposed Agricultural
Photovoltaic System
The block diagram of an agricultural photovoltaic
system is illustrated below in Fig.1. It consists mainly
of two main components: the photovoltaic component
and the crop component. The Photovoltaic component
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contains solar panels which are primarily in a grid-tied
configuration, such that the excess electricity
generated from the system is transferred.
2.1 The Agricultural Photovoltaic System
Design
The design of the AVS includes the design of grid-
connected photovoltaic power generation and the
establishment of a co-production crop-growing
system. The authors will consider the design of the
agricultural system in another paper. Below, is a user-
friendly explanation of the many phases needed in
creating the grid-connected solar PV system in a
simulation platform. The following flow chart serves
as an illustration of the steps required in simulation
design for the local electricity grid. The crop
component includes the installation of suitable plants
under photovoltaic panels. The main consequence of
installing photovoltaic systems on crops is the
creation of shading. This shading prevents the harmful
effects of excessive sunlight and limits evaporation
during periods of peak evaporative demand. The
plants that will benefit the most from this system will
be plants with high water demands and plants that are
not water-stress tolerant.
Fig. 1: The proposed agricultural photovoltaic system
2.1.1 Defining the Site's Geographic Parameters
The choice of the a location where a PV-based power
plant needs to be installed is crucial, and it should be
connected to any data source, such as software-
specified NASA-SSE satellite data. Bahteem was
chosen as the location for the system
implementation. The specific geographical location
of Bahteem is 30°05' north latitude, 31°17' east
longitude, 34.4 meters above sea level, the annual
average solar irradiance is 5.21 kWh/m2/day, and the
clarity index is 0.597[17].
the geographical site specifications for the Bahteem
region of Egypt are predefined by the software. For
any area in Egypt , these facts could be used as
references. The PVSYST has the benefit that,
afterchoosing the installation location, the programme
will automatically link the latitude and longitude
information obtained from the NASA-SSE satellite
station.
2.1.2 Fixing of Tilt and Azimuth angle
Depending on the installation location and in order to
increase the amount of solar energy produced, the tilt
angle can be changed. As shown in Fig.2, a 30 degree
tilt angle is maintained. In simulation, azimuth angle
is set at 0.
Fig. 2: Tilt and azimuth angle fixation
The performance curves for tilt angle and orientation are
shown in Fig.3
Fig. 3: The performance curve
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2.1.3 Selecting the Appropriate Photovoltaic
Modules
Depending on economic options, aging factors and
performance criteria, PV modules can be selected
from a pre-defined available list in the software. A
380Wp 29V Si-Mono bifacial PV model was selected
for simulation for better output power.
The panels are monocrystalline modules 4 meters
above the ground with a power generation capacity of
380 Wp. The panels are fixed at a 30° inclination
angle. The tilt angle is not the theoretical optimum tilt
angle equal to the latitude. This may be the result of
optimization between reducing shading to increase
panel rows and increasing power production.
We assume that the system is directly connected to the
grid and has no load. The panels must be lifted first.
The height depends on the height of the crop and also
on the height of the agricultural machinery used for
harvesting. The taller the panels, the stronger they
must be. In fact, the structure must be able to
withstand wind. Therefore, the installation system of
an agricultural photovoltaic system is more expensive
compared to the traditional ground photovoltaic
system. To increase the radiation available to plants,
transparent or translucent modules can be used. The
best solution may be to install bifacial solar panels.
They are translucent cells that trap radiation on their
sides. The back of the panel is also a layer of silicon,
rather than an opaque black film like traditional
panels. This allows part of the radiation to pass
through the module. They record direct and diffuse
solar radiation. This improves overall efficiency.
Fig. 4 &Fig. 5 show the optimized Si-mono bifacial
PV solar module curves and PV model values
respectively.
Fig. 4: Optimized Si-mono bifacial PV Solar module
curves
Fig. 5: PV model values
2.1.4 Selecting a Suitable Inverter
The inverter is also a very important part of the grid-
connected photovoltaic system. Inverters convert DC
power from photovoltaic modules into AC power.
Matching inverter specifications to PV specifications
is very important for proper system operation.
Inverter built-in MPPT technology for research
Improves system efficiency. In addition, inverters can
be selected from software-specified options and the
technical feasibility of available inverters checked.
570-800 V 400 kW ABB PVI 400 inverter was
selected for simulation. The power sizing of the
inverter output is shown in Fig. 6.
Fig. 6: Power sizing of inverter output
The output of the PV system depends upon the
received solar radiation and temperature. Fig. 7 shows
the voltage-current diagram of the photovoltaic
module. At the 60°C temperature maximum power
point voltage will be 570 V whereas at the 20°C
temperature maximum point voltage will be 800V.
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Fig. 7: PV Array Voltage-Current haracteristics
2.1.5 Number of Modules and String Arrangement
The software also provides us with recommendations
for optimal string evaluation of PV modules.
According to this case study, the total number of
software recommendation modules is 1050. Connect
21 modules in series and 50 in parallel for optimized
output power.
2.1.6 Efficiency Curve
In normal operation, the efficiency of the inverter is
characterized by the power transfer function as a
function of instantaneous power. This transfer is
usually expressed as a function of input or output
power, ie efficiency. That is, it is represented by a
nonlinear curve as shown in Fig. 8, and there is a
threshold input power, which can be understood as the
consumption of the inverter itself.
Fig. 8: Efficiency profile vs input power
2.1.7 Curve Parameter (Incident insolation)
The results of the sizing process yield a PV array
characteristic at different insolation levels as shown in
Fig. 9
(a) I-V characteristic
(b) P-V characteristic
Fig. 9: PV array characteristics at different insolation
levels.
2.1.8 Model Parameters:
The previous topic defines the resistances involved in
the one-diode model. This explains that the Low-light
performance (relative efficiency) is determined by
the RSerie, RShunt and RShunt(0) parameters. The
Fig. 10, Fig. 11 and Fig. 12 show the model parameter
at given isc, Mpp, Voc
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Fig. 10: I-V Characteristic's Curve
Fig. 11: P-V Characteristic's Curve
Fig. 12: Relative Efficiency [%] versus incident
Global [W/m2] Characteristic's Curve.
3 Results
In this study, the design and analysis of an on-grid
solar PV system were simulated using the PVSyst
program. Numerous simulation runs and calibrations
later, the most pleasing findings were discovered and
examined in the results analysis section. After going
through the aforementioned design process, the model
should be simulated, and the conclusions can be
examined to gauge plant efficiency. For a better
understanding of the plant installed, a thorough
simulation has been undertaken and several outputs
have been generated.
Below are various results, including daily input/output
plots, snaky diagram representation of losses, horizon
line drawing a plot of the selected location,
performance ratio data plot, daily energy output plot
including incident variations, array temperature during
operating conditions, array power distribution plot,
normalized productions including loss changes, and
plot examining about sun azimuth and incidence
angle, respectively.
3.1 Balances and Main Results
The balances and key findings are shown in Table 1,
together with variables including the horizontal global
irradiance, ambient average temperature, the global
irradiance incidence in the collector plane, and the
effective global irradiance after soiling losses. Along
with these elements, simulations were also performed
for the DC energy produced by the mono-crystalline
solar array, the energy injected into the grid after
taking photovoltaic array losses into account,
electrical components, and system efficiency. Each of
the balances' specified factors was simulated and
monthly and yearly major findings were collected.
Annual values of the variables are possible as
averages for temperature, efficiency, and summation
for irradiance and energy. Independent of the high and
configuration of photovoltaic panels, the agrivoltaic
system will be able to produce an approximate
quantity of 760.66 MWh year-1 of power, according
to PVSyst software. The electricity would be injected
into the grid, about 726.63MWh year-1. The
performance ratio (PR) of the system is 83.8%. Table
1 shows values of solar energy produced and grid
energy required during months and per year.
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Table 1. Incident global radiation (GlobInc), solar
energy (E_Solar) and grid energy (EFrGrid)
calculated by PVSyst software.
3.2 Normalized Productions
Fig. 13 shows the PV power plant's normalized
production. It presented system losses, significant
inverter output, and PV array collection losses. The
production and losses of monthly useful energy per
kWh are displayed clearly. These normalized
productsstandardized variables for assessing the
performance of PV systemsare established under
the IEC rules. The collecting losses, or PV array
capture losses, are 0.73 kWh/kWp/day. The solar
energy generated is 4.99 kWh/kWp/day whereas the
system loss is 0.23 kWh/kWp/day.
3.3 Array Loss Diagram
The array loss diagram is obtained using computer
simulations, which help in the analysis of different
losses that could happen when installing PV plants.
The array loss diagram, which represents the different
losses in the system, is shown in Fig.14. The global
irradiation is 1955 kWh/m2 on the horizontal plane.
The effective irradiance of the collector, however, is
2070 kWh/ m2. When this simulated effective
irradiance strikes the surface of a photovoltaic module
or array, electricity or electrical energy is generated.
After PV conversion, the array's nominal energy at
standard testing conditions (STC) is 828.098MWh.
The PV array is 20.91% efficient at STC. The annual
virtual energy supply from MPP is 761.479MWh.
Thermal loss accounts for 5.7% of the losses in this
stage, light-induced degradation accounts for 1.5 %,
modular array mismatch accounts for 1.1%, and
ohmic wiring losses account for 0.2%. The inverter
power plant has 741.722MWh of available energy per
year, of which 726,633MWh feeds the grid. There
were two main losses in this case.2.5% inverter loss
during inverter operation and 0% inverter loss over
inverter rating.
3.4 Daily Input/Output Diagram
Fig. 15 displays the daily fluctuations in the energy
injection into the grid's input/output profiles
(kWh/day) and the worldwide incidence on the plane's
incidence (kWh/m2/day).
3.5 Performance Ratio
The performance ratio (PR) primarily serves as a
quality factor to evaluate the quality of a PV plant. It
explains the relationship between the theoretical and
practical energy outputs of the PV system. The PR
shows the energy after all energy use and losses have
been removed. The PR is typically about 83.8 % due
to inevitable losses that occur during operation. Fig.
16 illustrates the PV plant's PR, which is the annual
average PR value. The PR value varies marginally
every month, as seen in Figure.
Fig. 13: PV power plant's normalized production.
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Fig. 14: The array loss diagram simulation outcome
Fig. 15: Energy injected to grid versus global incident
plot.
Fig. 16: Performance ratio.
3.6 CO Emission Balance
Fig. 17 below shows the simulated values for the CO2
emissions balance. The Carbon Balance tool enables
one to calculate the anticipated reduction in CO2
emissions from a PV system. The so-called Life Cycle
Emissions (LCE), which are the CO2 emissions
related to a specific component or amount of energy,
serve as the foundation for this calculation. These
metrics take into account a component's whole life
cycle, including production, use, maintenance,
disposal, etc.
Fig. 17: CO2 Emission Balance
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4 Conclusions
The paper highlights the simulation of a 400 KWp
agricultural grid-connected PV system and explains
the design process to alleviate issues related to PV
module selection, inverter performance, location
selection, string arrangement, etc.. This work provides
a better guide for beginners and solar practitioners
who are interested in installing solar-based grid-
connected PV systems and can also use PVSYST
software to accurately estimate various losses in the
system. A great advantage of PVSYS is that you can
create a complete installation report and check the
power output and losses in the system. Simulation
results for agricultural grid-connected PV systems
show a system yield of 726.63 MWh/year and the
performance ratio is 83.8 %. The proposed system
saves fuel and has little impact on the environment.
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
The authors equally contributed in the present
research, at all stages from the formulation of the
problem to the final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The authors have no conflicts of interest to declare
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