International Journal of Renewable Energy Development


Int. J. Renew. Energy Dev. 2023, 12(4), 767-778 
| 767 

https://doi.org/10.14710/ijred.2023.54056  
ISSN: 2252-4940/© 2023.The Author(s). Published by CBIORE 

 Contents list available at IJRED website 
 

International Journal of Renewable Energy Development 
 

Journal homepage: https://ijred.undip.ac.id 

 

Assessment of the technical-economic performance and optimization 
of a parabolic trough solar power plant under Algerian climatic 
conditions 

Khaled Bouchareba,b* , Nabila Ihaddadenea,c, Khellaf  Belkhiria,b , Khaoula Ikhlefd  , 
Aissa Boudilmia  
aDepartment of Mechanical Engineering, Med Boudiaf University, BP 166, M’sila 28000, Algeria. 
bLaboratory of Materials and Mechanics of Structure L.M.M.S, University of M'sila, M’sila 28000, Algeria. 
cLaboratory of Renewable Energy and Sustainable Development (LRESD), University of Mentouri Brothers Constantine, Constantine 25000, Algeria. 
dEcole Nationale Polytechnique d’Alger (ENP), LGMD Laboratory, B.P. 182, El-Harrach, Algiers, Algeria. 

Abstract. In this study, the design, analysis and optimization of the performance of a concentrated solar power plant that is based on the parabolic 
trough technology with a capacity of 100 MW equipped with a thermal energy storage system were conducted, in two representative sites in Algeria 
(Tamanrasset and M’Sila). The System Advisor Model software is used to evaluate the technical and economic performances of the two proposed 
power plants, in addition to carrying out the process of optimizing the initial design of the two power plants by finding the optimal values of the solar 
multiple and full load hours of the thermal energy storage system, with the aim of increasing the annual energy production and reducing the levelized 
cost of electricity. The results of the performance analysis conducted on the optimized design showed that the optimum values of the solar multiple 
and full load hours of the thermal energy storage system for the proposed power plant at the Tamanrasset site were found to be 2.4 and 7 h, 
respectively, with an annual electricity production of 514.6 GWh, and a minimum value of the levelized cost of electricity of 6.3¢/kWh. While the 
optimum performance of the proposed plant at the M'Sila site can be achieved by selecting a solar multiple of 3 and 7 h for thermal energy storage 
system, with a high annual energy production of 451.84 GWh and a low value of the levelized cost of electricity of 7.8¢/kWh. The results demonstrate 
that CSP plants using parabolic trough technology can increase energy security in the country, while reducing environmental concerns associated 
with the use of fossil materials.  

Keywords: Solar energy, Concentrated solar power, Parabolic trough power plant, System Advisor Model (SAM).  

@ The author(s). Published by CBIORE. This is an open access article under the CC BY-SA license 
 (http://creativecommons.org/licenses/by-sa/4.0/). 

Received: 4th May 2023; Revised: 18th June 2023; Accepted: 29th June 2023; Available online: 5th July 2023   

1. Introduction 

The needs of mankind for energy are increasing every year, this 
is due both to the growth of the population, the development of 
production and technology, and to the increase in energy 
consumption in everyday life. As human demand for modern 
energy supply increases, attention to solar energy becomes 
more intense. Consequently, there are active plans to utilize 
solar energy for different processes to minimize energy demand 
from conventional energy supply sources (Bouguila & Said, 
2020). 

The production of electric energy by exploiting renewable 
energies, especially solar energy, is a challenge of great 
importance for the coming years (Keykhah et al., 2021). In fact, 
Algeria's electric power needs are rising every day. Moreover, 
Algeria will need more energy to implement its development 
plans. Today, most of the energy production in Algeria comes 
from fossil sources, the intensive use of these sources leads to 
the depletion of its reserves and thus the insecurity of energy in 
the country, because it is not considered a renewable energy 
source, in addition to the negative effects on the environment 

 
* Corresponding author 

Email: khaled.bouchareb@univ-msila.dz  (K. Bouchareb) 

(greenhouse gas emissions). With Algeria's energy demand 
expected to increase by about 53%, its current reservoirs of 
conventional energy resources are expected to sufficiently 
support the country's electricity production for about 50 years 
(Benhadji Serradj et al., 2021). 

In order to remove all these restrictions, the Algerian state 
must turn to renewable energies, especially solar energy, to 
exploit it in order to meet the increasing demand for energy in 
the country.  Algeria is the largest country in Africa in terms of 
area, located in the center of North Africa on the Mediterranean 
coast, between latitudes 19° and 38°N and longitudes 8°W and 
12°E, with an area of 2,381,741 km², and a transitional climate, 
from maritime in the northern regions to semi-arid and arid in 
the central and southern regions (Benhadji Serradj et al., 2021; 
Keykhah et al., 2021). As it is located within the sun belt region, 
Algeria has great potential for solar energy. It has one of the 
highest solar energy deposits in the world (Abbas et al., 2013; T. 
E. Boukelia et al., 2015b). The northern region sees 
approximately 2650 hours of the insolation time annually, while 
in the southern region it reaches about 3500 hours (Stambouli et 
al., 2012). 

Research Article 

https://doi.org/10.14710/ijred.2023.54056
https://doi.org/10.14710/ijred.2023.54056
mailto:khaled.bouchareb@univ-msila.dz
https://orcid.org/0000-0003-3230-7202
https://orcid.org/0000-0003-1962-4481
https://orcid.org/0000-0002-6326-6717
http://crossmark.crossref.org/dialog/?doi=10.14710/ijred.2023.54056&domain=pdf


K. Bouchareb et al  Int. J. Renew. Energy Dev 2023, 12(4), 767-778 

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ISSN: 2252-4940/© 2023. The Author(s). Published by CBIORE 

The energy transition is Algeria's path to a secure, 
environmentally friendly and economically prosperous future. 
The central element of this transition is the restructuring of our 
energy supply towards the use of renewable energies. This 
means that renewable energy will become our primary source 
of electricity. In recent years, there has been an increase in the 
level of use in the electricity sector. 

In response to the high demand for energy and the negative 
impacts on the environment, researchers around the world are 
working to find more sustainable alternative energy 
technologies.  

Among the power generation technologies that have been 
developed, concentrated solar power (CSP) systems are a direct 
alternative to power plants based on fossil fuels. CSP plants can 
contribute 6% of the world's electric power demand by 2030 and 
12% by 2050 (Islam et al., 2018). 

CSP appears to be the method of choice for large capacity, 
utility-scale electric generation in the near term. This 
technology has the possibility of energy storage and auxiliary 
heat production during sunlight unavailability.  

In CSP systems, sunlight is concentrated using mirrors to 
create heat, then the heat is used to create steam, which is used 
to drive turbines and generators, just like in a conventional 
power station. Since solar energy is not very dense, it is 
necessary to concentrate the solar radiation to obtain high 
temperatures that can be exploited to produce electricity (Islam 
et al., 2018; Stambouli et al., 2012). According to the 
concentrating geometry, CSP systems can be classified into 
point and linear concentrators; solar tower and dish solar 
systems use point concentrators, while parabolic trough and 
linear Fresnel collectors use linear concentrators (T. E. Boukelia 
et al., 2015a; El Gharbi et al., 2011). 

The CSP plants have economic justification only for 
locations where direct normal irradiation (DNI) values are 
greater than 5.5 kWh/m2/day or (2000 kWh/m2/year) (Hirbodi 
et al., 2020). 

The parabolic trough technology power plant is one of the 
best proven CSP systems for its maturity and applicability in arid 
and semi-arid regions (Reddy & Kumar, 2012). CSP-based 
technology is suitable for high DNI areas (Praveen et al., 2018). 

With sunlight concentrated approximately 70-100 times by 
parabolic trough mirror technology, the operating temperature 
achieved is in the range of 350-550°C (Ummadisingu & Soni, 
2011). The thermal energy collected at the solar field level is 
transported by a heat transfer fluid (HTF) that circulates through 
the solar receivers and returns to a series of heat exchangers in 
the power block where superheated high-pressure steam is 
generated. The power block actually used in solar power plants 
is the steam cycle which uses a steam turbine generator to 
produce electrical energy (Lovegrove & Csiro, 2012). 

Most designs of commercial parabolic trough technology 
CSP plants contain a solar field and a power block, and in order 
to maintain a constant electrical energy production both 
thermal energy storage (TES) and fuel backup systems can be 
used (T. E. Boukelia et al., 2015a). The majority of CSP plants 
using parabolic trough technology are equipped with TES 
system to ensure constant energy production and to extend the 
plant's operating time during times of low or absent solar 
radiation (Bouguila & Said, 2020). 

Reddy et al. (Reddy & Kumar, 2012) conducted a technical 
and economic study of a 5 MW CSP plant with parabolic trough 
technology at 58 sites in India. The results showed that the 
annual electricity production in the studied sites ranged 
between 11 and 18 MW, and the levelized cost of electricity 
(LCOE) in Jodhpur site amounted to 11.00 and 11.84 Indian 

rupees/kWh for the plant that uses oil and water as HTF, 
respectively. Kalogirou (Kalogirou, 2013) analyzed the technical 
characteristics, the cost of electricity produced and land area 
required, for three types of CSP technology (parabolic trough, 
solar tower and solar dish) in Cyprus. The results indicate that 
the CSP plant with a parabolic trough and a TES system with a 
capacity of 4 h is the best option for installation in Cyprus, since 
it has a high annual efficiency and does not require a large land 
area.  

A study by Guzman et al. (Guzman et al., 2014) where the 
performance of a parabolic trough CSP plant with TES system 
for the city of Barranquilla (Colombia) is simulated for find the 
ideal plant design optimization and the key design parameters. 
The results showed that the studied plant could contribute 50% 
of the city's electrical consumption, and through the 
optimization results it was found that the solar multiple (SM) is 
2 and 6 hours for the capacity of the TES system. Bhuiyan et al. 
(Bhuiyan et al., 2020) carried out a study to optimize key design 
parameters of a parabolic trough CSP plant, in addition to 
evaluating the optimum design performance of the plant at eight 
different sites in Bangladesh. The results showed that the power 
plant that uses molten salt as a HTF offers better performance 
compared to the thermal oil plant. Tahir et al. (Tahir et al., 2021) 
evaluated the technical and economic feasibility of a CSP plant 
with a parabolic trough collector at six sites in Pakistan, and 
carried out an optimization study to obtain the optimal design 
of the proposed plants that reduces the LCOE. The results 
indicated that Pishin site provided the lowest value for LCOE 
compared to other sites, and in terms of the availability of 
suitable infrastructure, it is noticed that Quetta site is the ideal 
site for the construction of these plants. Mohammadi et al. 
(Mohammadi et al., 2021) conducted a technical, economic and 
environmental analysis of the performance of a solar power 
plant with a parabolic trough technology for thermal energy 
production in Salt Lake City (USA). The results revealed that the 
annual production of the plant amounted to 15,389.24 MWth, at 
a levelized cost of heat estimated at 26.3 $/MWth, and the 
results showed the optimization also has a significant impact of 
the values of the SM, the investment tax credit, and the total 
cost of the plant on the levelized cost of heat.  

Bashir et al. (Bashir & Özbey, 2022) conducted a design 
study for a hypothetical CSP plant with a parabolic trough 
collector with a capacity of 80 MW in Sudan, and in order to 
determine the appropriate sites for the installation of such 
plants, they analyzed the thermal performance and economic 
feasibility of the plant studied in 15 sites in Sudan. The results 
concluded that the city of Wadi Halfa, located in the northern 
region of Sudan, is one of the suitable sites for the establishment 
of CSP plants, given that it has the highest rates of DNI, in 
addition to its good topographical characteristics and favorable 
climatic conditions. The annual electrical production of the 
proposed plant at the Wadi Halfa site was 281.145 GWh with an 
overall efficiency and capacity factor (CF) of 15% and 40.1%, 
respectively. Through the economic analysis of the plant, the 
LCOE was 0.155$/kWh. 

Focusing on Algeria, Benhadji Serradj et al. (Benhadji 
Serradj et al., 2021) carried out a design and analysis of the 
technical and economic performance of a power plant using 
parabolic trough technology in the city of Tamanrasset 
(southern Algeria). They found that the plant could provide 
about 78% and 60% of the city's electrical consumption during 
winter and summer respectively, and that the LCOE was about 
0.062$/kWh with a payback period of 8.78 years. Benabdellah 
et al. (Benabdellah & Ghenaiet, 2021) conducted a techno-
economic analysis of the integrated solar combined cycle 



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(ISCC) power plant that uses parabolic trough technology and is 
currently operating in the Hassi R'mel region (southern Algeria). 
The studied plant is equipped with a new TES System. The 
obtained results show significant improvements in both the 
overall performance of the studied plant and the efficiency of 
converting solar energy into electrical energy. The results of the 
economic evaluation of the studied plant showed that the LCOE 
was about 9.75 ¢/kWh. In addition, the integration of the TES 
system into the power plant helps better stability of the grid, and 
the modified power plant can save about 30 million$ in natural 
gas consumption. Debbache et al. (Debbache et al., 2018) 
conducted an investigation study to find out the effect of some 
parameters of the design of the parabolic trough collector 
(aperture width and focal distance) on the energy produced for 
the CSP plant that depends on the parabolic trough technology, 
proposed in the city of Touggourt (southern Algeria). The results 
of the study show that the electricity production increases with 
the increase in aperture width with the smallest focal distance. 
In addition, it was found that the best design for a parabolic 
trough collector is an aperture width of 5 m and a focal distance 
of 0.5 m which leads to an annual production of 30 MWh. 
Achour et al. (Achour et al., 2018) examined the performance of 
a power plant based on ISCC technology in southern Algeria by 
developing a thermodynamic model to evaluate both the overall 
performance of the hybrid solar power plant and the intensity of 
solar radiation. The results showed that the efficiency of 
converting solar energy into electricity during sunny hours 
reaches 14.4%. In addition, the flow rate of the HTF and the 
solar incidence angle on the collector surface are among the 
factors that affect the amount of electricity generated. 

From the above literature review, it is clear that the majority 
of studies related to the design, performance evaluation and 
optimization of CSP plants with a parabolic trough collector are 
conducted at sites in Asia, India, Bangladesh, and North and 
South America. However, the most of the available research 
works on the deployment of CSP plants with parabolic trough 
technology in Algeria is generally limited to a preliminary 
evaluation of the advantages of their installation and a study of 
their economic feasibility. Numerous researches related to the 
design, performance analysis and optimization of the parabolic 
trough CSP plants in Algeria, have been performed. However, 
to the best knowledge of us, the most of these studies were 
carried out on grounds located in the southern region of the 
country. The question arises whether these studies can be used 
to simulate the parabolic trough CSP plants in northern Algeria 
such as the M'Sila site which has an important potential solar 
energy as shown by (Kherbiche et al., 2021). Research in this 
aspect is very important due to the urgent need to find more 
sustainable alternative energy technologies such as exploiting 
renewable energy sources to meet the increasing demand for 
electricity in Algeria and reducing dependence on traditional 
energy resources and the resulting negative effects on the 
environment. For this reason, this study is being conducted to 
design, analyze and optimize the performance of a 100 MW CSP 
plant based on parabolic trough technology with a TES system 
at two representative sites in Algeria. An important aspect of 

this analysis is the comparison of the results of two 
representative sites in Algeria (Tamanrasset and M'Sila). 

2. Methodology 

The design and analysis of the technical and economic 
performance of the CSP plant based on the proposed parabolic 
trough technology is carried out at the two selected sites using 
System Advisor Model (SAM), a software used to design and 
evaluate the technical and economic potential of solar power 
plants, and to assist in the decision-making of those involved in 
the renewable energy industry (Achour et al., 2018). It was 
developed by the National Renewable Energy Laboratory 
(NREL).  

The methodology of this study consists of the following 
steps: (i) collecting meteorological data for selected locations, 
(ii) design of a 100 MW CSP plant with TES, (iii) evaluation of 
the performance of the preliminary design of the proposed solar 
power plant in two representative sites in Algeria (Tamanrasset 
in the far south and M’Sila in the northern region), (iv) study the 
Environmental impacts: water consumption, carbon dioxide 
(CO2) emissions and natural gas preservation, and (v) 
optimization of the parabolic trough power plant with TES. The 
main parameters of the optimization process are full load hours 
of the TES and the SM.  

2.1 Site selection and resource assessment  

To evaluate the performance of the proposed CSP plant, the 
SAM software needs the meteorological data for the two 
selected sites, which were obtained by creating a typical 
meteorological year 3 (TMY3) weather file data format from the 
METONORM7 software database. The average daily DNI in 
Algerian territory ranges between 4.66 kWh/m2 in the northern 
regions and 7.26 kWh/m2 for the southern areas, and this 
corresponds to 1700 kWh/ m2/year and 2650 kWh/ m2/year 
for the  northern and southern regions, respectively (Taqiy 
Eddine Boukelia & Mecibah, 2013; Kherbiche et al., 2021). 

In this study, two representative sites in Algeria providing 
average annual DNI greater than 5.5 kWh/m2/day were 
selected to analyze and optimize the performance of the 
proposed CSP plant. The two selected sites are Tamanrasset in 
the far south, and M’Sila for the northern region. The 
characteristics of the two selected sites, Tamanrasset and 
M’Sila, are presented in Table 1. 

In Figure 1 are shown the monthly changes of average DNI 
and ambient temperature for the Tamanrasset and M’Sila sites. 
Comparatively, the Tamanrasset site is characterized by a high 
irradiation level of more than 7 kWh/m2/day throughout the 
year except for the months of September and December. During 
March, the DNI reached its maximum value of 9.019 
kWh/m2/day, while December recorded its lowest value at 
6.703 kWh/m2/day.  It can also be observed that the maximum 
and minimum values of the average ambient temperature were 
respectively in the months of June and January, on the other 
hand the average DNI at the M’Sila site has a maximum during 

Table 1  
Characteristics of the selected locations analyzed in this study. 

Location 
Latitude 
and Longitude 

Elevation (m) Daily Average      
DNI(kWh/m2/day) 

Daily Average 
Temperature(°C) 

Tamanrasset 22.78° N, 5.51° E 718 7.70 22.8 

M’Sila 35.70° N, 4.54° E 476 6.25 21.6 

 



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July of 7.934 kWh/m2/day and a minimum of 4.753 
kWh/m2/day during December. In addition, the average 
maximum and minimum temperature values were recorded in 
July and January, respectively. 

2.2 Parabolic trough solar thermal power plant 

Among the CSP technologies available, the parabolic trough 
technology is today the most widespread, the most successful 
and the most developed for the production of electricity (Taqiy 
Eddine Boukelia & Mecibah, 2013). Figure 2 is a schematic 
diagram of parabolic trough solar power plants with TES. It can 
be seen that these power plants consist of three main parts, 
including the solar field, the TES system, and the power block 
(Belgasim & Elmnefi, 2014). The solar collectors are arranged in 
a series configuration known as loops and oriented in a north-
south direction to follow the sun from east to west. TES can be 
used with solar power plants to ensure the continuity of 
electricity production. Normally, the TES capacity is in the order 
of several hours during which it is filled with HTF during the day 

and emptied after sunset so that electricity is still produced even 
after sunset. 
 

2.3 characteristics of the proposed CSP plant design 

The CSP plant subject to this study consists of 898160 m2 of 
solar field reflector based on the one of LS3 Model (LUZ solar 
collector, third generation). These collectors are equipped with 
a Schott PTR70 2008 type vacuum receiver tube. The LS3 solar 
collectors are oriented in the north-south direction and its 
direction axis is parallel to the horizontal plane. The HTF used 
in the solar field is Therminol VP-1, and molten salt as the 
storage fluid, these two traditional HTF fluids are often used in 
CSP-based power generation systems (Bouguila & Said, 2020).   
      The solar multiple (SM) is defined as the ratio between 
thermal power obtained by the solar field at design point and 
thermal power required by the power block at nominal 
conditions, and it can be expressed as (Marugán-Cruz et al., 
2019) : 

 int

 

th SF

design po

th PB

E
SM

E
=   (1) 

where: Eth SF is the thermal energy obtained by the solar field and 
Eth PB is the thermal energy required by the power block at 
nominal conditions.  
The proposed CSP plant has a TES system in the form of two 
circular tanks containing molten salt which consists of 60% 
sodium nitrate (NaNO3) and 40% potassium nitrate (KNO3) 
(Purohit & Purohit, 2017). TES system allows the supply of 
thermal energy to the power block when solar radiation is low 
or absent during the day or night (Ghodbane et al., 2021). 
      The full load hours of TES for a CSP plant specifies the 
number of hours thermal storage can supply energy to the 
power block to operate at the designed input level (T. E. 
Boukelia et al., 2015b), and is given by the expression: 

 

des TES

TES

des cycle

P h
H


=   (2) 

where: HTES is the thermal energy storage system capacity; Pdes 
is the design cycle thermal requirement; hTES the total number of 

 
Fig. 1 Average DNI per month and ambient temperature 

for the two selected sites (Tamanrasset and M'Sila). 

 
Fig. 2 Schematic diagram of a parabolic trough CSP plant with TES system. 

 



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desired storage hours; and 
 des cycle

 the design point cycle 

efficiency. 
    

For the initial analysis, the value of the SM is set as 2 and 
the full load hours for TES are taken to be 6 h. The initial design 
of the 100 MW parabolic trough solar thermal power plant with 
TES system was carried out in order to evaluate its performance 
in the cities of Tamanrasset and M’Sila. Optimal values of SM 
and full load hours for TES will be obtained through the initial 
design optimization process. Table 2 summarizes the initial 
design parameters of the proposed CSP plant. 

2.3.1 Energy Analysis 

The total incident solar energy received by the solar field 
opening is given as: 

cos
inc

Q A DNI=    (3) 

Where A is the Collector’s aperture area and  the Angle of 
incidence. 
The total utile energy delivered by the solar field is presented 
as: 

( )
field f SFo SFi

Q m H H=  −  (4) 

where: mf is the mass flow rate of the HTF, HSFO enthalpy at the 
outlet of solar field, and HSFi enthalpy at the inlet of the solar 
field.      
Therefore, the energy efficiency of the solar field can be found 
as: 

field

SF

inc

Q

Q
 =                                       (5)                

The power block energy efficiency is expressed as: 

net

PB

inp

W

Q
 =                                              (6)  

Table 2  
Characteristics of the proposed parabolic trough power plant (Cáceres et al., 2016; Guzman et al., 2014; Hirbodi et al., 2020). 

Characteristics                                                                                              Value 

Solar Field  

Total Field Reflector Area 
Solar Multiple 
Field HTF Fluid 
Number of Loops 
Single Loop Aperture 
Field HTF Min Operating Temperature 
Field HTF Max Operating Temperature 
Design Loop Inlet Temperature 
Design Loop Outlet Temperature 
Water Usage per Wash 
Number of Washes per Year 

898160 m2 
2 
Therminol VP-1 
206 
4360 m2 
12°C 
400 °C 
293 °C 
391 °C 
0.7 L/m2 
63 

Collectors 
 

Collectors Type 
Reflective Aperture Area 
Aperture Width, Total Structure 
Length of Collector Assembly 
Number of Modules per Assembly 
Length of Single Module 

Luz LS-3 
545 m2 
5.75 m 
100 m 
12 
8.33 m 

Receivers 
 

Receiver Type 
Absorber Tube Inner Diameter 
Absorber Tube Outer Diameter 
Glass Envelope Inner Diameter 
Glass Envelope Outer Diameter 

Schott PTR 70 2008 
0.066 m 
0.07 m 
0.115 m 
0.12 m 

Power Cycle 
 

Design Gross Output 
Estimated Gross to Net Conversion Factor 
Estimated Net Output at Design (Nameplate) 
Rated Cycle Conversion Efficiency 
Design Inlet Temperature 
Design Outlet Temperature 
Condenser Type 

111 Mwe 
0.9 
100 Mwe 
0.356 
391 °C 
293 °C 
Evaporative 

Thermal Storage 
 

Storage Type 
Full Load of TES 
Storage Volume 
TES Thermal Capacity 
Parallel Tank Pairs 
Storage HTF Min Operating Temperature 
Storage HTF Max Operating Temperature 
Storage HTF Fluid 

Two Tank  
6 h 
25304.4m3 
1870.79MWht 
1 
238 °C 
593 °C 
Hitec Solar Salt 

 



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where: Wnet is the net power generation and Qinp is the total 
thermal energy received by the power block.  
The plant’s final energy efficiency is calculated as follows: 

net

overall

inc

W

Q
 =                                          (7) 

The net capacity factor (CF) of a designed CSP plant with a 
capacity of 100 MW is expressed as: 

24   

net
W

CF
h

ND plant power capacité
day

=
 
  
 

   (8) 

where: ND is the number of days in a year.   

2.3.2 Economic Analysis 

The LCOE is one of the most important indicators used in 
evaluating the economic performance of CSP plants (Azouzoute 
et al., 2020); it is calculated by dividing the accumulated 
construction and operating costs of a solar power plant by the 
total annual energy produced during the operating life of the 
plant, as given in the following equation (Cáceres et al., 2016): 

( )

( )

0 1

1

1

1

N
n

nn

N
n

nn

C
I

d
LCOE

Q

d

=

=

+
+

=

+




            (9) 

where: I0 is the initial investment expenditures, Cn is the annual 
total costs for the year n, Qn is the electricity produced for the 
year n, N is the economic life of the power plant, and d is the 
discount rate.  

The assumptions and economic data used in the simulations on 

the SAM software for the parabolic trough CSP plant are 

presented in Table 3. 

 

3. Results and discussions 

The design, analysis and optimization of the performance of a 
CSP plant that is based on the parabolic trough technology 
described in the preceding sections yielded results that are now 
presented and discussed. It will be seen that CSP plants using 
parabolic trough technology are one of the most promising 
technologies in the field of electric power generation in Algeria. 

3.1 Performance Analysis of the CSP Plant Design 

Figure 3 shows the hourly data of the thermal energy incident 
on the solar field and the thermal energy produced from the 
solar field, the input of thermal energy for the power block, the 
thermal energy stored in the TES system, and the net electrical 
output of the proposed power plant at the Tamanrasset site. The 
net electrical output depends on the incident irradiation and the 
thermal energy input to the power cycle.  
      The value of the maximum thermal energy incident on the 
solar field was found to be about 840.53 MW in March, while 
the maximum value of the thermal energy entered into the 
power cycle was recorded at about 311.79 MW in March, due 
to the availability of solar resources for the selected site in this 
period of the year. During the period from February to October, 
the solar resources are high, the TES system tank is charged 
during the day with thermal energy in excess of the power block 
needs, and at the time of low solar radiation or after sunset, the 
TES system provides thermal energy to the power block to 
continue to produce electrical energy. 

Table 3  
The main financial input parameters used in the economic modeling of the proposed CSP plant (Benhadji Serradj et al., 2021; Enjavi-Arsanjani 
et al., 2015; Ikhlef & Larbi, 2020; Zhang et al., 2013). 

Financial Data Value 

Analysis Period 
Loan Term 
Loan Rate 
Inflation Rate 
Real Discount Rate 
Nominal Discount Rate 
Assessed Percent 
Insurance Rate 
Sales Tax 
State Income Tax Rate 

30 years 
20 years 
8% years 
4.6%/year in 2018 
4%/year in 2018 
8.78%/year 
80% of installed cost  
0.3% of installed cost 
5% of installed cost 
15%/year 

Direct Costs 
 

Site Improvements 
Solar Field Cost 
HTF System Cost 
Storage Cost 
Power Block 
Balance of Plant 
Contingency 

15 $/m2 
150 $/m2 
60 $/m2 
65 $/kWht 
1150 $/kWht 
120 $/kWht 
10% of direct costs 

Indirect Costs 
 

Engineering, Procurement and Construction 
Other Costs 

13% of direct costs 
3.5% of direct costs 

Operation and Maintenance Costs 
 

Fixed Cost by Capacity 
Variable Cost by Generation 

70 $/kW-year 
3 $/MWh 

 



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      Figure 4 presents the hourly data for thermal energy 
incident on the solar field to the net electrical output of the 
proposed CSP plant at the M'Sila site. The peak value of the 
solar thermal incident was found around 705.08 MW in July, 
which is lower than the maximum recorded at the Tamanrasset 
site. This is due to the noticeable difference in the values of DNI 
between the two sites. The maximum thermal energy input to 

the power block was recorded as 319.29 MW in August. In 
addition, it should be noted that the TES system during the 
summer months contributes significantly to extending the 
period of electrical energy production after sunset, due to the 
availability of solar resources during this period, while the 
amount of energy stored in the winter months is very low, which 

 
 

Fig. 3 Field incident solar thermal power, thermal power input for a power cycle and electrical output (Tamanrasset). 

 

 
 

Fig. 4 Field incident solar thermal power, thermal power input for a power cycle and electrical output (M’Sila). 

 



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does not allow the system storage extends the duration of 
electrical energy production until after sunset. 

Figure 5 shows the average monthly electric power 
generation obtained from the proposed CSP plant in both 
Tamanrasset and M’Sila sites. The monthly energy generated 
from the parabolic trough power plant in Tamanrasset peaks 
during the month of March and May, reaching a 48.06 GWh and 
45.12 GWh, respectively, the lowest value of the monthly energy 
generated for the Tamanrasset site was found during the month 
of December, reaching a value of 26.41 GWh. For the proposed 
power plant in the M’Sila site, it is seen that the highest monthly 
production of electric energy was found during the months of 
June and July, with a value of 42.23 GWh and 45.99 GWh, 
respectively, and the minimum values of monthly generated 
energy were found during January and December, which are 
13.65 GWh and 9.22 GWh respectively. It is clear that the 
monthly variation of the net energy production, for each site, 
almost follows the monthly variation of the DNI. The annual 
production of energy generated from the two CSP plants was 
454.51 GWh, 329.66 GWh for Tamanrasset and M’Sila site, 
respectively. It can be seen that the proposed power plant in 
Tamanrasset provided the highest annual generation of electric 
energy compared to the proposed plant in M’Sila, and the 
reason is due to the marked difference in the values of DNI, 
which is shown in Figure 1. 

The waterfall diagram in Figure 6 indicates the annual flow 
of energy from incident solar irradiation on the solar field to net 
electrical output. It shows the annual energy performance of 
each component of the proposed power plant at the two 
selected sites. As for the power plant in the city of Tamanrasset, 
the total annual solar energy incident on the solar collector 
amounted to 2552.34 GWh/year, while the amount of thermal 
energy produced by the solar field amounted to 1362.74 

GWh/year. However, the heat energy transferred to the power 
block is 1314.88 GWh/year. The thermal energy produced from 
the solar field of the proposed plant at the M’Sila site amounted 
to 983.7 GWh/year, and the power block received an amount 
of 974.14 GWh/year.  It can be concluded that the main energy 
losses that occur during energy transfer between the various 
components of the proposed plant are at the solar field and 
power block level. The losses in the solar field are found mainly 
due to the thermal losses in the receivers, while the losses in the 
power block are the mechanical losses, and the electrical losses 
necessary to operate the auxiliary equipment. 

The annual amount of electrical energy generated from the 
proposed CSP plant in Tamanrasset was found to be 454.51 
GWh, while M’Sila recorded 329.66 GWh, with a CF of 51.9% 
and 37.7% for Tamanrasset and M’Sila, respectively. In 
addition, the efficiency value of solar-to-electrical energy 
conversion was 18% and 16.08% for the two selected sites, 
respectively. It is clear that the proposed power plant in the city 
of Tamanrasset offers high performance compared to the power 
plant in M’Sila, because the levels of solar irradiation in 
Tamanrasset are higher than M’Sila. Table 4 summarizes the 
annual performance comparison of the two proposed power 
plants in Algeria.  
 

3.2 Cost Analysis 

The economic study of the two proposed plants is based on a 
LCOE calculation, the LCOE value ranged between 6.46 ¢$/kW 
h in Tamanrasset, 8.82 ¢$/kW h in M’Sila. 
      According to the International Renewable Energy Agency 
(IRENA) 2020 report, 150 MW of new CSP plants were 
commissioned globally in 2020 (IREA, 2020). The values of 

 
Fig. 5 Monthly energy generation for the proposed parabolic 

trough power plants in Algeria. 
 

 

 

 
Fig. 6 Annual energy flow of the proposed parabolic trough power 

plants. 

 

 

Table 4  
Comparison of annual energy yields for proposed parabolic trough plants in Algeria. 

Parameter Tamanrasset M’Sila 

DNI (KWh/m2/year) 
Annual Power Generation (GWh) 
Capacity Factor (%) 
Mean Efficiency of the Solar Field(𝜼𝑺𝑭) 
Mean Efficiency of the Power Block(𝜼𝑷𝑩) 
Mean Efficiency of the Plant(𝜼𝒐𝒗𝒆𝒓𝒂𝒍𝒍) 

2810.5 
454.51 
51.90 
53.96 
34.56 
18.00 

2281.25 
329.66 
37.70 
47.98 
33.84 
16.08 

 



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LCOEs obtained for the two power plants in this study are lower 
than the IRENA global weighted average of 0.108 $/kWh in 
2020 for CSP plants. The plant located in Tamanrasset provides 
the highest annual energy production with the lowest LCOE, 
while the M’Sila plant offers an average annual energy 
production with a relatively high LCOE. 

3.3 Environmental impacts analysis 

Considering the energy transition toward clean energy, CSP 
technologies are more beneficial to the environment because it 
emits very few damaging pollutants and reduces fossil fuel 
consumption (Praveen et al., 2018). Therefore, it is necessary to 
study the environmental impacts of CSP plants in order to 
estimate their potential benefits. Among these effects are 
natural gas preservation, carbon dioxide (CO2) emission, and 
water consumption. The software SAM is used to calculate the 
amount of water consumed by these plants. In general, the 
water use of CSP plants is divided into three main parts, the 
washing system, the steam generation, and the cooling system. 
From the obtained results, it is clear that there is a difference in 
the amount of water consumed by the proposed plants, which is 
estimated at 1,576,475 m3 and 1,215,756 m3 in Tamanrasset and 
M’Sila, respectively. The proposed CSP plant at the 
Tamanrasset site consumes more water annually than the 
proposed power plant in M’Sila. 
      Reliance on the exploitation of traditional energy to produce 
electrical energy leads to energy insecurity, in addition to the 
fact that the exploitation of these resources results in an 
increase in the amount of CO2 emitted into the atmosphere, 
which leads to global warming and climate change (Solomon et 
al., 2009). To produce 1 kWh of electricity, 0.285 m3 of natural 
gas are required (Hassabelgabo Abdelrazig Ibrahim & 
Mohammed Elmardi Suleiman Khayal, 2020). And 1 kWh of 
electricity generation produces 0.35 m3 (0.66 kg) of CO2 
emissions (Brander et al., 2011). The calculations that we have 
made suggest that the quantities of natural gas and CO2 

emissions that we avoid through our use of CSP plants to 
generate electricity are very significant quantities compared to 
conventional electricity generation systems. The results of the 
environmental impact analysis of the proposed CSP plants, 
including the amount of natural gas preserved, reduced CO2 
emissions, and annual water consumption are summarized in 
Table 5. 

3.4 Optimization of the initial parabolic trough plant design 

The smaller solar field of a CSP plant with parabolic trough 
technology reduces the thermal energy supplied to the power 
block, thus reducing the amount of electrical energy produced. 
The presence of a large solar field means an increase in the 
thermal energy produced, which is greater than the needs of the 
power block, and with insufficient storage capacity to store the 
excess thermal energy, there will be thermal energy loss and an 
increased investment cost for the CSP plant. Thus, optimization 
analysis is essential for the whole system. 
      The optimization procedure helps to determine the lowest 
value of LCOE with a higher amount of annual electrical energy 
produced (Awan et al., 2020). Optimization is about finding the 
combination of the two inputs that minimizes the LCOE while 
maximizing annual power generation. The variation of two main 
design parameters, namely the SM and the full load hours of 
TES, is used to optimize the proposed design. 
      The size of the solar field has a direct impact on annual 
electricity production and LCOE. An increase in the SM value 
leads to a corresponding increase in the solar field aperture and, 
thus, an increase in the thermal energy produced by the solar 
field. As a result, more electricity is generated, thus lowering the 
LCOE value. 

The variations of the annual energy production and LCOE 
with the SM of the proposed CSP plant in both Tamanrasset and 
M’Sila sites are shown in Figures 7(a) and 7(b), respectively. As 
shown in Figure 7(a) the LCOE decreases with the increase of 
the SM that reaches 2.4 for the proposed plant in Tamanrasset, 

Table 5 
Annual quantities of preserved natural gas, carbon dioxide mitigation and annual water consumption of the proposed CSP plants (m3). 

Parameters Tamanrasset M’Sila 

Natural gas preservation (m3) 

CO2 Mitigation (m3)  

Water usage (m3) 

129,536,887 

159,080,387 

1,576,475 

93,953,884.3 

115,381,963 

1,215,756 

 

 
Fig. 7 The variation of annual energy generation and LCOE with SM of the proposed CSP plant in: (a) Tamanrasset and (b) M’Sila. 



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beyond this value there is a significant increase in the value of 
the LCOE with a slight increase in the amount of annual 
electricity produced. The minimum LCOE was recorded to be 
around 6.33 ȼ$ /kWh with a SM of 2.4. The LCOE value rises 
with higher SM values, and this is due to the fact that the capital 
cost of the plant increases with the increase in the size of the 
solar field. The annual power output of the plant clearly 
increases with the increase in SM, but this increase becomes 
negligible for higher SM values. The optimal values of the SM 
for the proposed CSP plant in M’Sila was 3 with a LCOE of 7.84 
ȼ$ /kWh, in addition to an increase in the annual production of 
electric energy, as shown in Figure 7(b). 
      The full load hours of the TES system in the CSP plant are 
the second design parameter that has been studied for 
optimization. When solar radiation is low or after sunset the TES 
system delivers more thermal energy to the power block, thus 
allowing the plant to generate electricity for longer time 
intervals. The variations of the annual energy production and 
LCOE with the full load hours of the TES for the CSP plant 
proposed at Tamanrasset and M’Sila sites are presented in 
Figures 8(a) and 8(b), respectively. As shown in Figure 8(a), the 
LCOE decreases with the increase of the full load hours of the 

TES, reaching a value of 6.3 ȼ$ /kWh for the Tamanrasset site, 
the LCOE increases after another increase in the full load hours 
of the TES system. The lowest LCOE values correspond to 7 h 
of TES. The optimum full load hours obtained for the proposed 
power plant at the M’Sila site was 7 h with the lowest LCOE 
value of 7.8 ȼ$ /kWh, and with an increase in power production 
as shown in Figure 8(b). 
      If the full load hours of TES are increased beyond 7 h for 
both the proposed CSP plants in Tamanrasset and M’Sila, the 
LCOE value increases with a slight increase in annual energy 
production because the solar fields of the two power plants are 
not able to generate enough surplus thermal energy for a large 
TES system. As for the increase in the LCOE value, the reason 
is due to the high investment cost of the TES system for both 
plants. The optimized design results obtained for the two 
proposed CSP plants are summarized in Table 6. As can be seen 
from the data in Table 6, it is evident that there is a significant 
improvement in the amount of annual electric energy produced, 
CF and LCOE values for the optimized configuration compared 
to that of the initial design of the two studied plants. 

 
 
Fig. 8 The variations of annual energy generation and LCOE with full load hours of TES of the proposed CSP plant in (a) Tamanrasset and (b) 
M’Sila. 

 

Table 6  
Performance comparison of the optimized and initial design of a proposed CSP plant for two sites in Algeria. 

Parameters 

Tamanrasset M’Sila  

Initial Optimized Initial Optimized 

Annual energy output (GWh) 
Capacity factor (%) 
Solar multiple 
Full load hours of TES 
LCOE (ȼ$ /kWh) 

454.51 
51.9 
2 
6 
6.46 

514.6 
58.8 
2.4 
7 
6.3 

329.66 
37.67 
2 
6 
8.82 

451.84 
51.63 
3 
7 
7.8 

 

Table 7  
Performance comparison of the proposed CSP plant with other similar literature. 

Author Annual Energy  
Generation (GW h) 

Mean Annual 
Efficiency (%) 

LCOE (¢$/kWh) 

(Benhadji Serradj et al., 2021) 
(Abbas et al., 2013) 
(Awan et al., 2019) 
Current Study 

390.7 
223 ‒ 415 
ranges from 355.18to 397.48 
451.84‒ 514.6 

15.3  
13.8 ‒ 16.4 
16.73 ‒ 17.93 
16 – 18 

6.2 
11.93 ‒ 29.58 
10.5 ‒ 11 
6.3 ‒ 7.8 

 



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3.5 Comparison of output performance with similar studies 

Table 7 presents the results of comparing the performance of 
the CSP plant with the proposed parabolic trough technology in 
two locations in Algeria with the results reported in some similar 
studies on this technology in different locations around the 
world. According to this Table, it is found that the average plant 
efficiency and LCOE values are in close agreement with the 
results obtained in the reviewed literature with a significant 
increase in the value of the annual energy generated. 

4. Conclusion 

The present study was conducted to design, analyze and 
optimize the performance of a concentrated solar power plant 
based on parabolic trough technology with a thermal energy 
storage system at two representative sites in Algeria with a wet 
cooling system, the System Advisor Model software was used 
to evaluate the performance of the two proposed power plants. 
The initial analysis of the proposed design showed that the 
annual production of the proposed concentrated solar power 
plant in Tamanrasset and M’Sila amounted to 454.51 GWh and 
329.66 GWh respectively. It is noteworthy that the annual 
energy production has a significant relationship with the DNI 
values and the climatic conditions of the site.  
      Evaluation of the economic performance of the proposed 
concentrated solar power plants showed that the power plant in 
the Tamanrasset site has the lowest LCOE at 6.46 ȼ$/kWh, as 
for the proposed plant in M’Sila. It is observed that the LCOE is 
less than 8.82 ȼ$/kWh. Since the two proposed power plants at 
the two selected sites have the same investment costs estimated 
at 627,808,128 $ per site, it is important to note that the LCOE 
values are inversely proportional to the annual production of 
each plant. 
      The environmental impact analysis revealed that the 
proposed CSP plant in the Tamanrasset site consumes more 
annual water than the proposed power plant in M'Sila. It can be 
seen that the more arid and desert climate of the site, the greater 
the annual water consumption of the plant. In terms of the 
amount of annual carbon dioxide emissions that can be avoided 
through the use of CSP plants to generate electricity instead of 
conventional electricity generation systems, the environmental 
analysis showed that the solar power plant in the Tamanrasset 
site is able to avoid the amount of carbon dioxide emissions 
estimated at 159,080,387 m3, while the proposed plant at the 
M'Sila site has the lowest annual amount of CO2 emissions 
estimated at 115,381,963 m3. The comparison of the production 
of electricity through CSP plants and conventional electricity 
generation systems that depend on fossil resources, shows that 
a very large amount of natural gas is preserved when using CSP 
plants. 
      The optimization procedure is based on considering the 
lowest value of LCOE with the largest annual energy 
production. The proposed design optimization process is done 
by modifying two main design parameters, namely the SM and 
full load hours of TES. The optimization study showed that there 
is a significant increase in the annual energy production, 
reaching 514.6 GWh and 451.84 GWh for the two sites, 
Tamanrasset and M’Sila, respectively, with a clear decrease in 
the values of LCOE. 
      This type of CSP plant, which is based on parabolic trough 
technology, has shown good results in terms of power 
generation and the price of electricity production in Algeria. 
These results may be encouraging for the Algerian government 
to exploit its large potential of solar energy to generate 

electricity on a large scale and reduce the use of fossil materials, 
therefore, the spread of CSP plants in Algeria is a major step for 
the renewable energy sector in the country, not only to add new 
energy, but also to increase energy security and address 
growing environmental problems due to the use of fossil fuels. 
 

Conflicts of Interest: No potential conflict of interest was reported by 
the authors. 

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