Energy Equip. Sys. / Vol. 9/No. 3/Sep. 2021/ 279-289
Energy Equipment and Systems
http://energyequipsys.ut.ac.ir
www.energyequipsys.com
Possibility of supplying energy to border villages by
solar energy sources
Authors
Mostafa Esmaeili Shayan
Sahar Esmaeili Shayan b
Abbas Nazari c
ABSTRACT
a*
a
Department of Biosystems
Engineering, Tarbiat Modares
University (TMU), Tehran, Iran
b
Department of Management and
Accounting, Allameh Tabataba'I
University,Tehran, Iran
c
Department of Management and
Economics, Science and Research
Branch of the Islamic Azad
University (SRBIAU), Tehran, Iran
Article history:
Received : 4 April 2021
Accepted : 16 May 2021
Solar Energy is considered the cleanest and the most accessible energy source
in the world. Its application is also one of the best electrification and energy
transmission methods than other energy transmission models for outlying
villages in terms of costs, transportation, maintenance, and similar factors.
Accordingly, one of the critical studies on the context of exploitation of this
energy is the possibility of establishing and identifying susceptive areas. In this
study, the amount of solar energy entering the earth's surface and the number
of cloudiness days were studied based on the studied area's meteorological
data. Also, we designed and simulated solar photovoltaic power plants
through the Meteorological Data on Virtual model. The solar analyzer
function in the ArcGIS commercial closed environment was used to estimate
the entering radiation to the earth's surface in the studied area. To study the
number of cloudiness days has been used from the mentioned area's weather
station data. The results showed that the solar analyzer function showed four
months of the year available for full exploitation of these systems. The highest
amount of radiation occurred after July. Optimal radiation conditions
continue until November. In some days of the remaining months, this energy
has been confronted with limitations. Nine villages were identified with the
highest solar power utilization in the present study. Villages include the
following: Kuran, Hurseen, Bavan, Barduk, Betic, Mareush, Jolfan, Sin Abad
and Gudel.
Keywords: Solar Energy, Villages, Photovoltaic Power Plants, ArcGIS, Solar Analyzer Function.
1. Introduction
People's daily lives depend on energy
production and consumption; therefore, energy
supply and demand in human societies increase.
On the other hand, in recent years, the limited
availability of oil and other fossil fuels has
exposed the whole world to future energy.
Meanwhile, the replacement of renewable
energy fossil fuels, such as wind and solar
energy, has become especially important in
Corresponding author: Mostafa Esmaeili Shayan
Department of Biosystems Engineering, Tarbiat Modares
University (TMU), Tehran, Iran
Email: mostafa.esmaeili@modares.ac.ir
reducing energy consumption, saving energy,
controlling supply and demand of energy, and
reducing pollutant emissions [1]. Many
countries try to maximize solar energy use by
replacing this energy to generate heat and
electricity and reduce the losses due to fossil
fuels. Replacing renewable energy fossil fuels,
especially solar energy, is one of the most
important coping strategies for energy crises
and environmental problems caused by various
energy sources in the present century [2].
Considering Iran's geographic location and its
location on the world's solar belt, this country is
one of the most critical countries in having solar
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Mostafa Esmaeili Shayan at al./ Energy Equip. Sys. / Vol. 9/No.3/Sep. 2021
radiation with the desirable potential and power
[3]. Considering to spatial and geographical
distribution of rural parts of Urmia and also due
to distance from the national electrical power
source, impossible and occasionally longdistance and lower applicant from transmission
power; decision making to perform electrical
power project was always countered with
hesitating and showed the necessity of using
solar radiation to supply current. Using solar
radiation is one of the best ways to electrify and
power generation than other energy transport
models to the village and out-of-reach places
considering
cost,
transportation,
and
maintenance. Benefit from solar radiation
between the most critical parameters in system
output, location, and condition of the system's
panel installation [4]. To find the feasibility of
using solar power, the main studied factors were
solar energy submitted to earth and the number
of cloudy days [5]. Submitted radiation is the
main parameter in energy balance models.
Despite this parameter importance, it is
measured limited. Devices to measure this
parameter and being expensive should be
calibrated because of its high sensitivity, so
most meteorological stations do not have it.
Therefore, station measurements do not apply to
the vast area due to spotty [6]. The importance
of energy and different sources to supply is
currently the fundamental approach of global
governments. Fossil fuels assign most of the
energy requirement sources [7]. The primary
source of greenhouse gasses diffusion is the
energy part, and supplying energy from fossil
fuels generated a crisis for the environment and
sublimate million tons of greenhouse gasses to
the atmosphere [8]. Most world industries
designed their energy supply infrastructures
with fossil fuel sources (e.g., coal, oil, and
natural gas). However, fossil fuels are
considered non-renewable resources; humans
should be looking for a substitution source to
respond to energy demand [9]. In comparison,
1
the energy intensity indicator in Iran reaches
100 to 300 from 1984 to 2004. The means of
energy intensity in the world is 0.4, which is
more than 0.6 in our country [10]. Solar Energy,
1 . Energy Intensity: Energy Consumption Defined
Base on Ton, Equivalent Crude Oil Per 1000 Dollar
of Gross National Product
as one of the primary renewable energy sources,
is suggested in two sorts of thermal and
electrical power. European countries arrange to
supply more than 50% of the low-pressure
thermal requirement by solar heat sources until
2030 [11]. However, photovoltaic technology
with high potential will be responsible for 5%
and 11% of Europe's electrical demands for
2030 and 2050 [12]. Multi-objective
optimization is used to maximize the production
of power and water was used. The results
showed that the total power generation values
and freshwater production corresponding to the
𝑘𝑔
most optimal point are 719 kW and 14 𝑠 ,
respectively. this method can be used for the
development of local desalination plants [13].
These methods lead to the development of solar
based integrated system with thermoelectric
generators and reduce the cost of solar systems
[14].
Today harms and restriction of fossil fuels
and rising energy consumption increased the
tendency to using renewable energy sources,
especially solar radiation[15]. In contrast, from
2000 to 2011, per capita world energy
production increased to 10.3 [16]. It is predicted
that in 2050, this increment reaches more than
60% of 2020 consumption [17]. Supplying
renewable energy considering Iran's potential,
solar energy resulted in more maintaining
natural resources and land revitalization due to
zero CO2 and other waste component
production, reducing power transmission lines,
increasing local independence in energy supply,
and higher powering speed rural areas and lower
costs [18]. Measurements also revealed that the
number of sunny hours per year in Iran reduced
from southeast to North West and increased
from west to east [19]. Several methods
suggested investigating solar radiation
submitted to earth included: Satellite Images,
Linear interpolation, Neural-artificial network,
physical transport process [20]. An empirical
relationship is available by meteorological data
[21]. Energy/exergy / exergoeconomic (3E)
parameters
can
affect
the
general
competitiveness of energy systems use. These
values even affect the construction of energy
Mostafa Esmaeili Shayan at al./ Energy Equip. Sys. / Vol. 9/No.3/Sep. 2021
projects [22]. Generally, remote sensing
technics due to accuracy and high speed and
satellite images because of their time series
preparation to investigate radiation can be a
proper substitution for empirical and traditional
procedures [23]. Most terrestrial phenomena
such as radiation reached the ground cannot be
directly determined by satellite images and
should be investigated by satellite data input
[24].
Most research has suggested the use of an
independent electricity distribution network in
rural and remote areas. The use of data stations
is experimental and traditional and needs to be
updated. In the reviewed research, cloudy days
were not included in the calculations.
Evaluating input radiation to the earth's surface
in a given area is performed by the analytical
instrument of solar radiation in ArcGIS
software. Therefore, in this study, we
investigated the number of cloudy days and the
amount of solar radiation submitted to earth in
the studied area and compared this amount to
the photovoltaic system's requirement to assess
installation feasibility and use those rural areas
boundary parts of West Azerbaijan province in
Iran.
2. Research background
Minor investigations were performed related to
Subject Reviewed
The potential of constructing a
solar power plant by evaluating
climatic parameters using GIS
281
the feasibility of solar radiation application for
energy production, some of the most related
references presented in Table (1).
The high dependence and growing demand
of the world on energy sources is the
fundamental factor in developing economic
activity. Limited fuel resources and other fossil
fuels faced the world with the complicated issue
of supply energy. Due to the natural span of
renewable energy, especially solar radiation,
and their availability in a given situation, this
kind of energy is preferable. Considering the
decline in investment in the new energy sector,
setting
environmental
rules
due
to
contamination and ecological changes in the
earth, increasing energy usage, and sharing
renewable energy in the economic development
of disadvantaged areas, it is inevitable to replace
solar energy with fossil fuels. Solar Energy is
the unique renewable energy source of the
world and the primary source of other
existing energy on the earth. It is also
considered the best and cost-beneficial Energy
in Iran that responds to most environmental
concerns and as an inexhaustible source
regarding Iran's geographical, environmental,
and climate conditions, which can be exploited
in Iran. Iran, located between 25 to 40 degrees
of northern latitude, is one of the world's best
countries to receive solar radiation energy [31].
Table 1. Research background
Description
This article studied the potential of solar power plant
construction by evaluating climatic parameters by GIS.
Finally, the Potentiometric plan was assessed for
Khuzestan province and classified into seven categories.
References
[25]
Fuzzy logic application to
FTOPSIS power plant location
using GIS
This study evaluated to find a location for a solar power
station by Fuzzy TOPSIS and finally find nine places as
the best location to construct the solar station
[26]
Possibility of using solar energy to
support lighting systems with
satellite image processing in GIS
space.
In this study, authors set and compared SEBAL and Solar
Analyst models and concluded that the Solar Analyst
function in comparison with the SEBAL algorithm is more
appropriate and accurate numerically, and validation
[27,28]
Evaluating potential
Evapotranspiration in Iran
Author to find Evapotranspiration by Stamper method in
the Azerbaijan area, calculated submitted radiation to earth
using DEM SRTM images with the help of the Solar
Analyst function in the ArcGIS software environment
[29,30]
282
Mostafa Esmaeili Shayan at al./ Energy Equip. Sys. / Vol. 9/No.3/Sep. 2021
Solar radiation availability on the earth's
surface is one of the leading causes of using
solar systems worldwide. Solar radiation is
defined as the energy amount received to the
earth's surface at a particular time by WH/m2.
Phenomena, which produces electric power
influenced by solar radiation without a
stimulator,
nominated
photovoltaic
circumstance and system which used this called
photovoltaic system, which is the most common
use of new energy sources [32]. Photovoltaic
cells have had the satisfying potential to supply
energy for independent network applications
and can be used to produce sustainable energy.
The advantages of using this system can be
numbered as preventing environmental
pollution, no need for extensive transmission
and distribution lines, and ease of maintenance
and operation. Considering the 20 to 25 years
long life of photovoltaic cells, this technology
regards as a principal and applicable device to
use new energy to respond to electrical energy
supply out of public networks and complex
access
areas [33].
The solar radiation analysis instrument
between the spatial analysis devices can
measure solar radiation's influence on different
parts of the earth at a particular time and depict
and analyze it. Applying this instrument, we can
calculate atmospheric effects, longitude, the
location altitude, slope, direction, daily and
seasonal changes in the sun angle, and the effect
of height shadow on received radiation to earth.
The function above is advisable to calculate
Surface radiation on a local scale. The inputs of
the function included the digital Elevation
Model, central part latitude, and given time.
This uses the algorithm presented by Girija et al.
(2019). The base of its function is combining
sight orientation and a source of possible
radiations[34]. This function calculates every
entry cell's sight direction situation by an Input
Digital Elevation Model (DEM) and then
transferred to the supposed earth surface by
special functions. In the next step, direct solar
radiation in a different direction of the sky is
made by a sun map on the hypothetical earth's
surface. Sun map showed the sun's situation on
special circuits at different times. Then the
amount of radiation subject to diffusion is
computed by Skymap. Finally, to measure direct
solar radiation, sun map and sky map layers
overlapped with sight direction in the given area
[35,36].
3.Materials and Methods
The current study performed a descriptiveanalytical approach in the aspect of entity and
methodology that is practical. Managers can
benefit from its results in planning and
policymaking for producing and transporting
new energy sources. This research concern is to
eliminate one of the human needs and
improvement and optimization tools, objects,
and patterns to develop welfare and comfort and
promote human life. Hence, it is practical
(developmental) by the aim. Because its results
are directly applied to solve problems and
possess local and positional properties, and
usually do not have generalizability properties
in other locations except for similar areas, so it
is scientific research.
3.1. Studied area
Urmia city as a center of west Azerbaijan
province with 5312 km2 vastness, located in the
northwest of Iran by 44o and 24' to 45o and 25'
of eastern longitude and 37o and 7' to 38o and 10'
of northern latitude. According to the 2020
census, the population was 3.081 million
people, where the population of the rural part
was calculated as 283510 [37]. The location of
Urmia city in Azerbaijan province was
presented in figure 1. This research also
evaluated 150 villages of Urmia city located on
a 15 km distance from the Iran-Turkey border.
3.2. Procedure
Figure 2 represented the overall steps and
research procedures to the feasibility of using
solar energy in border villages.
Mostafa Esmaeili Shayan at al./ Energy Equip. Sys. / Vol. 9/No.3/Sep. 2021
283
Fig.1. The geographic location of Urmia city and studied area situation
Fig.2: The overall procedure of research
3.3. Used data
Digital terrain model related to ASTER
Sensor (ASTER GDEM)
Topographic maps 1/2500 studied area
Meteorological data related to cloudy
days for the studied area (Urmia station)
During this experiment, we used
ArcGIS 10.2 and Excel 2013 software.
For analyzing energy data, Minitab
software was used.
284
Mostafa Esmaeili Shayan at al./ Energy Equip. Sys. / Vol. 9/No.3/Sep. 2021
4.Results
In the current study, solar function analysis was
used to investigate intake radiation to the earth's
surface amongst spatial analysis instruments.
This model input is Land Digital Model, so the
Land digital model of the ASTER sensor was
used with 28 m resolution. Due to extracting the
location village in the studied boundary, a
1/2500 topographical map was used. Also, the
primary input of the solar analysis function is
Digital Elevation Model (DEM), so we isolated
border villages from DEM, and by executing the
solar analysis function, the means of submitted
radiation to earth (by WH/m2) were calculated
in all days and then total radiation received to
the earth was calculated for 12 months.
Obtained values for both April and September
were presented in Fig.3. The next step, received
each village extracted radiation, and its amount
for 28 villages among 150 was evaluated as
defined in Fig.4. Radiation levels in different
villages were studied in 12 months and divided
into 32 categories. The top 10 shows the high
radiation levels in the average range of 4500
2
WH/m and the bottom 10 sets the lowest
average of 2500 WH/m2. The highest amount of
radiation occurred after July. Optimal radiation
conditions continue until November. Most of
the radiation occurred in October. Kafshan
region, with an average of 2916 WH/m2 has the
lowest radiation level, and the Kuran region
with 4540 WH/m2 has the highest radiation
level.
a
b
Fig.3. The obtained radiation. a: April, b: September.
Cungani
Gangchin
Mareush
Daman
Betic
Savarak
Parde Zi
Gonbad
Hale Ghush
Kalisi
Gachi
Firuzian
Jolfan
Kuran
Sin Abad
Bavan
Kafshan
Barduk
Soltani
Juheni
Gudel
Marneh
Juihi
Hurseen
Hashtian
Hsanlu
Agh Saghal
Khare Gush
285
Radiant (WH/m2)
December
November
October
September
August
July
June
May
April
March
February
> 7120
6883 ~ 7120
6645 ~ 6883
6408 ~ 6645
6171 ~ 6408
5933 ~ 6171
5696 ~ 5933
5459 ~ 5696
5221 ~ 5459
4984 ~ 5221
4747 ~ 4984
4509 ~ 4747
4272 ~ 4509
4035 ~ 4272
3797 ~ 4035
3560 ~ 3797
3323 ~ 3560
3085 ~ 3323
2848 ~ 3085
2611 ~ 2848
2373 ~ 2611
2136 ~ 2373
1899 ~ 2136
1661 ~ 1899
1424 ~ 1661
1187 ~ 1424
949.3 ~ 1187
712.0 ~ 949.3
474.7 ~ 712.0
237.3 ~ 474.7
0.000 ~ 237.3
< 0.000
March
Villages
Mostafa Esmaeili Shayan at al./ Energy Equip. Sys. / Vol. 9/No.3/Sep. 2021
Months
Fig.4: Average values for radiant received monthly for some villages
5.Discussion and Conclusion
The number of cloudy days and the amount of
solar radiation submitted to earth in the studied
area and compared this amount to the
photovoltaic system's requirement to assess
installation feasibility and use those rural areas
boundary parts of West Azerbaijan province in
Iran were investigated. Evaluating input
radiation to the earth's surface in a given area
was performed by the analytical instrument of
solar radiation in ArcGIS software. To study the
feasibility of using photovoltaic systems in
border villages of Urmia, the area's technical
and economic potential should be measured for
power production. Solar radiation's technical
potential means utilizing solar radiation
employing currently available technology with
specific efficiency without considering
economic remarks and proximity to the
consumer markets. Regarding the aim of the
research, we only evaluate the technical
potential of the area. Technical potential
included the amount of received energy to the
earth's surface and the number of cloudy days in
the area. Photovoltaic systems require 1000
Wh.m2 radiation in standard conditions to
produce power. Results showed that mean daily
radiation for all studied villages located in the
range of 211 to 3556 Wh.m2. Another criterion
to measure the area's technical potential is the
number of cloudy days, so using 60 years
statistics (1951-2010), the number of cloudy
days and averaging of values, the number of
cloudy days separated by different months of
the year were calculated. So the conditions of
the study area considering receiving energy to
the earth's surface and the number of cloudy
days to use solar energy sources in the other
months were presented in Table 2. Cloudy days
were not found in July, August, September, and
June, and the conditions for using solar systems
are desired. The worst-case scenario is January,
December, March, and April, which requires
caution in the energy storage source of hybrid
systems.
Mostafa Esmaeili Shayan at al./ Energy Equip. Sys. / Vol. 9/No.3/Sep. 2021
286
Months
March
April
May
June
July
August
September
October
November
December
January
February
Table 2. Results obtained by evaluating the given area.
Number of Cloudy Days Number of Suitable Villages Number of unsuitable villages
9
150
0
9
150
0
4
150
0
0
150
0
0
150
0
0
150
0
0
150
0
4
150
0
6
146
4
10
143
7
11
145
5
9
150
0
Results revealed that the study area in most of
the villages had the lowest energy required to
use in photovoltaic systems, and just cloudy
days are considered as an obstacle to using solar
energy. While and regarding the number of
cloudy days in 4 months of the year, it is entirely
possible to use solar energy, but there will be a
restriction in another month for some days.
Considering the received radiation to the earth's
surface, ten villages had the most energy
acquisition, so they were the best location to
install and establish a solar system was
indicated in figure 5. Nine out of 28 villages
were introduced for the use of optimal solar
systems. Villages include the following: Kuran,
Hurseen, Havan, Barduk, Betic, Mareush,
Jolfan, Sin Abad, and Gudel.
Fig.5. Villages with the most solar radiation received to the earth's surface
Mostafa Esmaeili Shayan at al./ Energy Equip. Sys. / Vol. 9/No.3/Sep. 2021
6.Conclusion
This study attempted to shift energy strategists
from using traditional energy sources to
renewable energy sources, taking into account
the economic constraints of rural and border
areas in Iran. To this end, the amount of solar
energy reaching the earth's surface and the
number of cloudy days were studied using local
meteorological data. Used ArcGIS' commercial
indoor solar analyzer to estimate radiation
entering the study area. The year-long study
took place in northwestern Iran's border and
rural areas. Many energy strategists are
unwilling to use renewable and sustainable
energy because they do not see the long-term
benefits. The average daily radiation of the
villages studied ranges from 211 to 3556 Wh.m2
. Although solar energy can be used to reduce
the number of cloudy days in a month, there are
some restrictions. The 10 cities with the highest
electricity consumption are also the best places
to install and build solar power plants.
References
[1] Y. Yu, Z. Xin Jin, J. Zu Li, L. Jia, Lowcarbon development path research on
China’s power industry based on synergistic
emission reduction between CO2 and air
pollutants, J. Clean. Prod. 275 (2020)
123097.
doi:10.1016/j.jclepro.2020.123097.
[2] F. Ghasemzadeh, M. Esmaeilzadeh, M.
Esmaeili Shayan, Photovoltaic Temperature
Challenges and Bismuthene Monolayer
Properties, Int. J. Smart Grid. 4 (2020) 190–
195.
https://www.ijsmartgrid.org/index.php/ijsm
artgridnew/article/view/131/pdf.
[3] J. Polo, C. Fernández-Peruchena, V.
Salamalikis, L. Mazorra-Aguiar, M. Turpin,
L. Martín-Pomares, A. Kazantzidis, P.
Blanc, J. Remund, Benchmarking on
improvement
and
site-adaptation
techniques for modeled solar radiation
datasets, Sol. Energy. 201 (2020) 469–479.
doi:10.1016/j.solener.2020.03.040.
[4] M. Esmaeili Shayan, Solar Energy and Its
Purpose in Net-Zero Energy Building, A.
Pérez-Fargallo, I. Oropeza-Perez (Eds.),
Zero-Energy Build. New Approaches
287
Technol.,
IntechOpen,
2020.
doi:10.5772/intechopen.93500.
[5] M. Azadbakht, E. Esmaeilzadeh, M.
Esmaeili-Shayan, Energy consumption
during impact cutting of canola stalk as a
function of moisture content and cutting
height, J. Saudi Soc. Agric. Sci. 14 (2015)
147–152. doi:10.1016/j.jssas.2013.10.002.
[6] G. Franzese, V. Della Rocca, F. Esposito,
Resolution of the size/distance degeneracy
of the dust devils signals observed with a
stationary meteorological station, Aeolian
Res.
44
(2020)
100594.
doi:10.1016/j.aeolia.2020.100594.
[7] M.S. Esmaeili, G. Najafi, EnergyEconomic Optimization of Thin Layer
Photovoltaic on Domes and Cylindrical
Towers, Int. J. Smart Grid - IjSmartGrid. 3
(2019)
84–91.
https://www.ijsmartgrid.ijrer.org/index.php
/ijsmartgridnew/article/view/61 (accessed
July 8, 2019).
[8] M. Esmaeili Shayan, F. Ghasemzadeh,
Nuclear Power Plant or Solar Power Plant,
N. Awwad (Ed.), Nucl. Power Plants Process. from Cradle to the Grave,
IntechOpen,
Landon,
2020.
doi:10.5772/intechopen.92547.
[9] M. Esmaeili-Shayan, H. Shamsabadi, H.
Azadi, Design and construction of a
dynamic site to receive electricity from the
river’s flow studied by fishery and
utilization workshops,
Fourth Clean
Energy Annu. Conf., Graduate School of
Industrial and Advanced Technology, 2014.
[10]
M. Esmaeili Shayan, Solar Energy and
Nuclear Power. Economic Requirements
and Hindrances, GRIN Verlag, 2020.
https://books.google.com/books?id=KkL8
DwAAQBAJ.
[11]
B. Koçak, A.I. Fernandez, H. Paksoy,
Review on sensible thermal energy storage
for industrial solar applications and
sustainability aspects, Sol. Energy. 209
(2020)
135–169.
doi:10.1016/j.solener.2020.08.081.
[12]
I. Boie, C. Kost, S. Bohn, M. Agsten, P.
Bretschneider, O. Snigovyi, M. Pudlik, M.
Ragwitz, T. Schlegl, D. Westermann,
Opportunities and challenges of high
renewable energy deployment and
electricity exchange for North Africa and
288
Mostafa Esmaeili Shayan at al./ Energy Equip. Sys. / Vol. 9/No.3/Sep. 2021
Europe - Scenarios for power sector and
transmission infrastructure in 2030 and
2050, Renew. Energy. 87 (2016) 130–144.
doi:10.1016/j.renene.2015.10.008.
[13]
A. Azad, E. Aghaei, A. Jalali, P.
Ahmadi, Multi-objective optimization of a
solar chimney for power generation and
water desalination using neural network,
Energy Convers. Manag. 238 (2021)
114152.
doi:10.1016/j.enconman.2021.114152.
[14]
A. Behzadi, A. Habibollahzade, P.
Ahmadi, E. Gholamian, E. Houshfar, Multiobjective design optimization of a solar
based system for electricity, cooling, and
hydrogen production, Energy. 169 (2019)
696–709.
doi:10.1016/j.energy.2018.12.047.
[15]
A.R. Gupta, V.K. Rathod, Solar
radiation as a renewable energy source for
the biodiesel production by esterification of
palm fatty acid distillate, Energy. 182
(2019)
795–801.
doi:10.1016/j.energy.2019.05.189.
[16]
I. V. Provornaya, I. V. Filimonova, L.
V. Eder, V.Y. Nemov, E.A. Zemnukhova,
Formation of energy policy in Europe,
taking into account trends in the global
market, in: Energy Reports, Elsevier Ltd,
2020:
pp.
599–603.
doi:10.1016/j.egyr.2019.09.032.
[17]
A. Andreou, J. Barrett, P.G. Taylor,
P.E. Brockway, Z. Wadud, Decomposing
the drivers of residential space cooling
energy consumption in EU-28 countries
using a panel data approach, Energy Built
Environ.
1
(2020)
432–442.
doi:10.1016/j.enbenv.2020.03.005.
[18]
L. Joshi, D. Choudhary, P. Kumar, J.
Venkateswaran, C.S. Solanki, Does
involvement of local community ensure
sustained energy access? A critical review
of a solar PV technology intervention in
rural India, World Dev. 122 (2019) 272–
281. doi:10.1016/j.worlddev.2019.05.028.
[19]
M. Esmaeili Shayan, G. Najafi, A.
Ahmad Banakar, Power Quality in Flexible
Photovoltaic System on Curved Surfaces, J.
Energy Plan. Policy Res. 3 (2017) 105–136.
http://epprjournal.ir/browse.php?a_id=230
&sid=1&slc_lang=en (accessed February
10, 2019).
[20]
D. Guijo-Rubio, A.M. GómezOrellana, P.A. Gutiérrez, C. HervásMartínez, Short- and long-term energy flux
prediction using Multi-Task Evolutionary
Artificial Neural Networks, Ocean Eng.
(2020)
108089.
doi:10.1016/j.oceaneng.2020.108089.
[21]
Q. Cao, Y. Liu, K. Lyu, Y. Yu, D.H.W.
Li, L. Yang, Solar radiation zoning and
daily global radiation models for regions
with
only
surface
meteorological
measurements in China, Energy Convers.
Manag.
225
(2020)
113447.
doi:10.1016/j.enconman.2020.113447.
[22]
A.
Habibollahzade,
Employing
photovoltaic/thermal panels as a solar
chimney roof: 3E analyses and multiobjective optimization, Energy. 166 (2019)
118–130.
doi:10.1016/j.energy.2018.10.048.
[23]
M. Esameili Shayan, G. Najafi, S.
Esameili Shayan, Design of an Integrated
Photovoltaic Site: Case of Isfahan’s
Jarghouyeh photovoltaic plant, J. Energy
Plan. Policy Res. 6 (2021) 229–250.
http://epprjournal.ir/article-1-858-en.html
(accessed March 6, 2021).
[24]
M. Norouzi, M. Yeganeh, T. Yusaf,
Landscape framework for the exploitation
of renewable energy resources and
potentials in urban scale (case study: Iran),
Renew. Energy. 163 (2021) 300–319.
doi:10.1016/j.renene.2020.08.051.
[25]
H.K. Firozjaei, M.K. Firozjaei, O.
Nematollahi, M. Kiavarz, S.K. Alavipanah,
On the effect of geographical, topographic
and climatic conditions on feed-in tariff
optimization for solar photovoltaic
electricity generation: A case study in Iran,
Renew. Energy. 153 (2020) 430–439.
doi:10.1016/j.renene.2020.01.127.
[26]
E.T. Asr, R. Kakaie, M. Ataei, M.R.
Tavakoli Mohammadi, A review of studies
on sustainable development in mining life
cycle, J. Clean. Prod. 229 (2019) 213–231.
doi:10.1016/j.jclepro.2019.05.029.
[27]
M. Rezaei, A. Mostafaeipour, M.
Qolipour, R. Tavakkoli-Moghaddam,
Investigation of the optimal location design
of a hybrid wind-solar plant: A case study,
Int. J. Hydrogen Energy. 43 (2018) 100–
114. doi:10.1016/j.ijhydene.2017.10.147.
Mostafa Esmaeili Shayan at al./ Energy Equip. Sys. / Vol. 9/No.3/Sep. 2021
[28]
O.M. Roche, R.E. Blanchard, Design of
a solar energy center for providing lighting
and income-generating activities for offgrid rural communities in Kenya, Renew.
Energy.
118
(2018)
685–694.
doi:10.1016/j.renene.2017.11.053.
[29]
Z. Alijani, F. Hosseinali, A. Biswas,
Spatio-temporal evolution of agricultural
land use change drivers: A case study from
Chalous region, Iran, J. Environ. Manage.
262
(2020)
110326.
doi:10.1016/j.jenvman.2020.110326.
[30]
F.
Shahbazi,
A.A.
Jafarzadeh,
Integrated assessment of rural lands for
sustainable development using MicroLEIS
DSS in West Azerbaijan, Iran, Geoderma.
157
(2010)
175–184.
doi:10.1016/j.geoderma.2010.04.010.
[31]
M.K. Firozjaei, O. Nematollahi, N.
Mijani, S.N. Shorabeh, H.K. Firozjaei, A.
Toomanian, An integrated GIS-based
Ordered Weighted Averaging analysis for
solar energy evaluation in Iran: Current
conditions and future planning, Renew.
Energy.
136
(2019)
1130–1146.
doi:10.1016/j.renene.2018.09.090.
[32]
J. Li, Z. Zhang, B. Shen, Z. Gao, D. Ma,
P. Yue, J. Pan, The capacity allocation
method of photovoltaic and energy storage
hybrid system considering the whole life
289
cycle, J. Clean. Prod. 275 (2020) 122902.
doi:10.1016/j.jclepro.2020.122902.
[33]
F. Ghasemzadeh, M. Esmaeili Shayan,
Nanotechnology in the Service of Solar
Energy Systems, Nanotechnol. Environ.,
IntechOpen,
London,
2020.
doi:10.5772/intechopen.93014.
[34]
S. Girija, A. Joshi, Fast Hybrid PSOAPF Algorithm for Path Planning in
Obstacle Rich Environment, IFACPapersOnLine, Elsevier B.V., 2019: pp. 25–
30. doi:10.1016/j.ifacol.2019.12.616.
[35]
P. Bartie, W. Mackaness, O. Lemon, T.
Dalmas, S. Janarthanam, R.L. Hill, A.
Dickinson, X. Liu, A dialogue based mobile
virtual assistant for tourists: The SpaceBook
Project, Comput. Environ. Urban Syst. 67
(2018)
110–123.
doi:10.1016/j.compenvurbsys.2017.09.010.
[36]
K. Matsuo, T. Tanaka, Analysis of
spatial and temporal distribution patterns of
temperatures in urban and rural areas:
Making urban environmental climate maps
for supporting urban environmental
planning and management in Hiroshima,
Sustain. Cities Soc. 47 (2019) 101419.
doi:10.1016/j.scs.2019.01.004.
[37]
Noname,
SCI,
(2020).
https://www.amar.org.ir/english (accessed
September 27, 2020).