Microsoft Word - ETASR_V11_N4_pp7508-7514 Engineering, Technology & Applied Science Research Vol. 11, No. 4, 2021, 7508-7514 7508 www.etasr.com Kassem et al.: A Techno-Economic Viability Analysis of the Two-Axis Tracking Grid-Connected … A Techno-Economic Viability Analysis of the Two- Axis Tracking Grid-Connected Photovoltaic Power System for 25 Selected Coastal Mediterranean Cities Youssef Kassem Department of Mechanical Engineering Engineering Faculty Near East University Nicosia, Cyprus yousseuf.kassem@neu.edu.tr Hüseyin Gökçekuş Department of Civil Engineering Civil and Environmental Engineering Faculty Near East University Nicosia, Cyprus huseyin.gokcekus@neu.edu.tr Hamza S. Abdalla Lagili Department of Civil Engineering Civil and Environmental Engineering Faculty Near East University Nicosia, Cyprus hamzasalem409@gmail.com Abstract—Generating energy from renewable sources, particularly solar energy, offers significant benefits and achieves a more clean and sustainable development. In the present paper, the potential of developing a 4.2kW grid-connected rooftop two- axis tracking PV system in 25 selected coastal Mediterranean cities located in different Arabic countries is evaluated using RETScreen software. The proposed system is serving the basic household energy needs according to the load profile from monthly electrical bills. It is found that the proposed system produces about 8824kW annually, which helps to reduce CO2 emissions. Also, the average energy production cost is assumed to range from 0.0337 to 00.0475$/kWh. It is concluded that the proposed system can provide an effective solution for energy poverty in developing regions with a very positive socio-economic and environmental impact. The small-scale grid-connected PV system will provide the domestic energy needs at a lower energy production cost than the electricity price grid-connected consumers pay. This study demonstrated that generating electricity from solar energy will help reduce the electricity tariff rates and the dependence on fossil fuels. Keywords-coastal Mediterranean cities; two-axis sun tracking system; solar energy potential; grid-connected; small scale PV system; RETScreen I. INTRODUCTION The energy sector is the most prominent of the economic crisis and the environmental disaster in Arabic countries such as Lebanon, Syria, Palestine, and Libya [1]. This sector is the biggest waste producer and the primary cause of budget deficits and debt ballooning, in addition to being the primary cause of air pollution and related deaths. Moreover, the electricity crisis has been increased in many Arabic countries due to the population growth, the rising living standards, and the growing industry sectors, which have led to an increase of the energy demand, and the increased electricity cost associated with fossil fuel-based electrical energy production [2]. Generally, most Arabic countries do not suffer from poverty in electrical energy sources, such as oil, gas, sunlight, and wind. For instance, Libya is a rich country in natural resources, however, it has faced power outages for several years due to the poor maintenance and civil war. The electricity crisis is not new in most developing countries and the electricity sector has suffered from decades of mismanagement, weak policies, and the absence of proper planning. This problem has been increased due to the dilapidation of old power stations, accompanied by sabotage operations. As a result, the hours of power cuts increased, ranging from 8 to 20 hours per day. For this reason, citizens are dependent on domestic power generators or small home generators, both of them adding financial burdens to the residents. Nowadays, all countries are looking to utilize renewable energy resources instead of fossil fuels to mitigate climate change [3]. Additionally, the utilization of renewable energies, such as solar, as power sources, can be an alternative solution for solving the electricity crisis in most countries and reducing the consumption of fossil fuels [4, 5]. Globally, solar energy is one of the most popular alternative energy resources for electricity production. Photovoltaic (PV) panels are used to convert sunlight into electricity. In the literature, utilizing the PV systems helps to meet the basic domestic needs globally, especially in the developing countries [6]. PV systems can be categorized as stand-alone systems or grid-tied systems for domestic and commercial settings. The grid-tied PV systems Corresponding author: Youssef Kassem Engineering, Technology & Applied Science Research Vol. 11, No. 4, 2021, 7508-7514 7509 www.etasr.com Kassem et al.: A Techno-Economic Viability Analysis of the Two-Axis Tracking Grid-Connected … are generally installed with no mandatory requirement for storage in the regions/countries with stable grids [7]. The benefits of these systems are that they are simple to design, easily manageable, require less maintenance, and are cost- effective. The disadvantage of a grid-tilt system is that its energy production is lower than the power produced by tracking PV systems. To maximize the amount of output power of the PV system, it must be adjusted to the changing position of the sun throughout the day [6]. Solar tracking systems are utilized to maximize energy production by the PV systems [8]. Solar tracking systems are classified based on movement capability (single-axis and two-axis) and control system (astronomically controlled systems and sensor-controlled systems) [9]. According to [10-12] the tracking systems (single-axis and two-axis) increased the energy production from 20 to 40%. The performance of grid-connected PV systems with various sun-tracking systems has been investigated by several scientific studies [13-15]. For instance, authors in [13] investigated the feasibility of a 5kW grid- connected PV system under different tracking systems and PV technologies in Nahr El-Bared, Lebanon. The results demonstrated that the two-axis tracking solar system was an economical option for electricity production compared to other systems. Authors in [14] evaluated the performance of the grid- connected solar system under different tracking systems in Gulf Cooperation Council countries. The results showed that the vertical-axis and two-axis tracker system could produce 20% and 34% more power than the fixed-tilt systems. The benefit of grid-connected systems is that the excess electricity produced by these systems can be given back to the grid, which can help to reduce the electricity bills and solve the electricity crisis. The main scope of the current study is to present a techno-economic feasibility evaluation for 4.2kW grid-connected PV systems on the rooftops of household/residential buildings in coastal Mediterranean cities in some Arabic countries. The performance of the two-axis – tracking system for a grid-connected PV system has been analyzed using the RETScreen software to show the benefits of solar energy utilization as a power source for solving the electricity crisis in developing countries. II. MATERIALS AND METHODS The solar energy potential in 25 coastal locations under Mediterranean climate conditions is discussed based on a National Aeronautics and Space Administration (NASA) database, which includes Solar Radiation (SR) and air temperature data. Besides, the performance of the two-axis tracking system for grid-connected rooftop PV systems as a solution for the electricity crisis and reducing the electricity bills is investigated with the help of the RETScreen software. A. Location Details and Collected Data In this work, 25 coastal Mediterranean cities located in Libya, Lebanon, Syria, Palestine, Tunisia, and Algeria have been taken into consideration. The geographical coordinates of the selected cities are listed in Table I. In the literature, the solar potential of different regions is usually evaluated using the NASA database. For example, authors in [16] assessed the potential of solar energy in various locations in Nigeria using the NASA database. Authors in [17] found that the NASA database showed good agreement with the measurement data of global solar irradiation. Therefore, the solar potential of 25 coastal locations is assessed using the monthly NASA database. TABLE I. COORDINATES OF THE SELECTED CITIES Country City Latitude [°] Longitude [°] Libya Az Zawiyah 32.76 12.74 Tripoli 32.89 13.19 Al khums 32.65 14.27 Misratah 32.33 15.10 Surt 31.19 16.57 Benghazi 32.12 20.09 Turbruq 32.07 23.94 Lebanon Tripoli 34.43 35.84 Beirut 33.89 35.50 Syria Tartus 34.90 35.89 Al Ladhiqiyah 35.61 36.00 Palestine Gaza Strip 31.35 34.31 Egypt Port Said 31.27 32.30 Alexandria 31.20 29.92 Marsa Matrch 31.36 27.22 Tunisia Djerba Modoun 33.81 10.85 Gabes 33.89 10.10 Sfax 34.74 10.76 Sousse 35.82 10.63 Tunis 36.81 10.18 Algeria Annaba 36.91 7.74 Skikda 36.87 6.91 Bejaia 36.75 5.06 Algiers 36.70 3.06 Oran 35.70 -0.63 B. Two-Axis Tracking PV Arrays In general, solar tracking systems are utilized to maximize energy production by the PV system due to the maximization of the incident beam radiation [18]. The rotation of these systems can be about a single axis or about two axes. Maximum energy can be achieved using a two-axis solar system due to its total freedom of movement. In two-axis PV systems, the solar panels are mounted on the structure, which can move the modules in two axes [19] as shown in Figure 1. For a two-axis PV system, two motors are required for the rotation of the axes [19]. Thus, the panel’s orientation with the two-axis tracker system is dependent on the solar position. Generally, this system is required a control module to direct it. The solar tracker PV systems utilize a SR sensor to control the system orientation [20]. Moreover, the performance of the PV system depends on the parameters of the system components and weather. Additionally, existing power producers are trying to increase the output power of the PV system by improving Operation and Maintenance (O&M) activities [20]. The O&M is considered one of the important aspects of a PV solar system. Improving the O&M can help reduce the energy production cost and improve the impact returns on investment. Furthermore, there are several issues that the PV system faces during its lifecycle, such as natural degradation, component failures, weather conditions, etc. [21]. Therefore, a holistic approach can address these issues under the O&M aspect, which is divided into three categories (preventative maintenance, corrective maintenance, and condition-based Engineering, Technology & Applied Science Research Vol. 11, No. 4, 2021, 7508-7514 7510 www.etasr.com Kassem et al.: A Techno-Economic Viability Analysis of the Two-Axis Tracking Grid-Connected … maintenance). In fact, the tracking PV systems increase the O&M) due to the requirement of periodic checking to ensure the optimal performance of the system. Fig. 1. Characteristics of two-axis tracker movements. C. Design of the PV Power System To build the 4.2kW PV system, a mono-Si-CS6X-300M PV module was selected. It is made of mono-crystalline-silicon cells with a maximum power of 300Wp. A total number of 14 modules are required with an area of about 28m 2 . A FRONIUS SYMO 4.5-3-M LIGHT 4.5 KW SOLAR INVERTER with a capacity of 4.5kW and 98.6% efficiency was chosen in this study. The specifications of the selected PV panel and inverter are available at [22, 23]. D. Simulation Tool There are many simulation tools such as HOMER energy, RETScreen, etc. that may be utilized to evaluate the energy production and Levelized Cost Of Energy (LCOE). The comparison between these simulation tools is available at [24]. In this study, HOMER is utilized to evaluate the economical feasibility of the proposed systems. RETScreen is developed by Natural Resources Canada (NRC). It utilizes the long-term monthly average meteorological data from the NASA database as a source of meteorological information for a specific location [3, 16]. In the present study, the most important economic indicators of financial analysis including Net Present Cost (NPC), Cost Of Energy (COE), Simple Payback (SP), and Equity Payback (EP) are estimated with the RETScreen software. Also, the Greenhouse Gas (GHG) emission reduction, energy production, and Capacity Factor (CF) for the proposed system are determined. III. RESULTS AND DISCUSSION A. Characteristics of Solar Energy in the Selected Locations Generally, regarding PV panels and inverters, the characteristics of the installation, and the meteorological conditions (relative humidity, air temperature, solar radiation, etc.) are the major factors that influence the performance of the PV system. The meteorological conditions affecting the generating power by the PV system are mainly solar irradiance [25-27]. Therefore, global SR data were analyzed to estimate the potential of solar energy in the selected cities. Table II summarizes the average horizontal monthly daily SR for the selected locations. It is found that the average horizontal monthly daily SR varied from 2.01kWh/m 2 /day to 8.50kWh/m 2 /day. The maximum and minimum values of SR are recorded in Port Said (in June) and Skikda (in December) respectively. The highest and lowest annual SR are 5.87kWh/m 2 /day and 4.51kWh/m 2 /day for Alexandria and Skikda, respectively as shown in Figure 2. The highest value of Average Temperature (AT) was recorded in Port Said (21.23�) and the next highest in Alexandria (20.79�). Based on the value of SR at the selected locations, it is found that the solar resource of the selected locations is categorized as excellent (class 5) according to [16]. Therefore, these locations are suitable for installing a PV system in the future due to their high value of SR. Fig. 2. Average SR and air temperature as a function of location. B. Electricity Generation and Capacity Factor SR and the number of clear sunny days are essential factors that influence the performance of the PV system including output power and CF [28, 29]. The monthly Electricity Generation (EG) from the proposed system is shown in Table III. It is found that the monthly EG is within the range of 390kWh-1125kWh. The maximum average EG occurs at Alexandria during July with a value of 1125kWh, while the minimum value of 390kWh was recorded at January in Beirut. Furthermore, Figure 3 shows the annual EG and CF from the proposed systems. It is found that the value of EG is within the range of 7628-10333kWh for PV systems with two-axis tracking systems. The maximum value of EG is recorded in Alexandria while the minimum value is obtained in Algiers. Besides, it is found that the CF values vary from 20.73% to 28.08%. These observations can be supported by other scientific researches who analyzed the feasibility of a grid- connected PV system. For instance, authors in [30] found that the CF of their proposed PV system in Oman was within the range of 16-23%. Also, authors in [31] found that the CF of grid-connected PV systems with various technologies varied from 15.37% to 15.75%. Authors in [32] found that the value of CF of grid-connected PV systems with different sun- tracking modes was within the range of 17.54 to 27.42%. Moreover, the use of the two-axis instead of the fixed-tilt option significantly increases the generated electricity [32, 33]. Therefore, it can be concluded that the value gotten from the present study for each location is compatible with the generally acceptable values. Consequently, it is technically sustainable to build a grid-connected rooftop PV system in these locations. The results indicate that the variation of the EG and CF is a function of location. Engineering, Technology & Applied Science Research Vol. 11, No. 4, 2021, 7508-7514 7511 www.etasr.com Kassem et al.: A Techno-Economic Viability Analysis of the Two-Axis Tracking Grid-Connected … TABLE II. AVERAGE DAILY SOLAR RADIATION [kWh/m2/day] Location Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Az Zawiyah 2.69 3.86 5.14 6.41 7.15 7.90 8.10 7.26 5.74 4.18 2.99 2.38 Tripoli-Libya 2.67 3.66 4.79 6.15 6.98 7.67 7.79 7.05 5.52 3.96 2.75 2.35 Al khums 2.79 3.67 4.75 5.83 6.52 7.14 7.34 6.50 5.17 3.97 2.89 2.45 Misratah 3.07 4.09 5.36 6.57 7.24 7.90 8.07 7.37 5.96 4.60 3.31 2.77 Surt 3.41 4.25 5.23 6.18 6.54 7.42 7.26 6.86 5.77 4.67 3.49 3.06 Benghazi 2.87 3.87 5.18 6.56 7.26 7.92 7.94 7.26 5.96 4.55 3.26 2.63 Turbruq 2.69 3.65 4.90 6.18 6.89 7.52 7.63 6.96 5.86 4.38 3.05 2.47 Tripoli-Lebanon 2.76 3.68 5.03 6.37 7.62 8.31 8.08 7.37 6.32 4.65 3.24 2.49 Beirut 2.67 3.51 4.80 6.18 7.45 8.08 7.83 7.16 6.07 4.53 3.15 2.41 Tartus 2.76 3.68 5.03 6.37 7.62 8.31 8.08 7.37 6.32 4.65 3.24 2.49 Al Ladhiqiyah 2.65 3.63 4.96 6.28 7.45 8.22 7.99 7.29 6.20 4.56 3.06 2.38 Gaza Strip 3.08 3.90 5.29 6.58 7.50 8.07 7.90 7.23 6.22 4.67 3.50 2.87 Port Said 3.24 4.08 5.46 6.79 7.77 8.44 8.10 7.54 6.53 5.02 3.68 2.96 Alexandria 3.21 4.14 5.56 6.92 7.79 8.50 8.35 7.72 6.56 5.04 3.64 2.97 Marsa Matrch 2.74 3.66 4.98 6.24 7.05 7.89 7.82 7.16 5.94 4.35 3.12 2.50 Djerba Modoun 2.62 3.64 4.90 6.27 7.02 7.67 7.82 7.07 5.51 3.87 2.82 2.32 Gabes 2.62 3.64 4.90 6.27 7.02 7.67 7.82 7.07 5.51 3.87 2.82 2.32 Sfax 2.58 3.53 4.57 5.87 6.85 7.38 7.44 6.63 5.06 3.47 2.68 2.36 Sousse 2.37 3.29 4.33 5.67 6.72 7.38 7.60 6.53 4.97 3.34 2.48 2.16 Tunis 2.30 3.20 4.22 5.22 6.34 6.94 7.31 6.29 4.69 3.37 2.47 2.09 Annaba 2.28 3.15 4.25 5.21 6.25 6.98 7.14 6.08 5.00 3.57 2.45 2.02 Skikda 2.27 3.15 4.26 5.22 6.20 6.91 7.08 6.12 4.94 3.53 2.42 2.01 Bejaia 2.38 3.31 4.44 5.46 6.41 7.12 7.23 6.38 5.08 3.66 2.51 2.06 Algiers 2.48 3.38 4.59 5.69 6.49 7.20 7.13 6.44 5.28 3.82 2.63 2.15 Oran 2.72 3.64 4.74 5.94 6.55 7.08 6.92 6.26 5.25 3.94 2.80 2.40 TABLE III. AVERAGE MONTHLY EG [kWh] Location Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Az Zawiyah 558 593 754 771 847 860 910 868 732 625 541 430 Tripoli-Libya 561 595 755 772 847 860 910 868 733 627 543 432 Al khums 520 522 701 745 855 888 955 872 677 616 483 465 Misratah 592 602 821 865 979 1011 1078 1028 811 753 581 553 Surt 656 606 735 703 804 855 886 834 739 625 535 592 Benghazi 536 558 785 859 975 1007 1056 1008 811 742 568 510 Turbruq 483 511 725 799 918 950 1006 954 794 702 513 460 Tripoli-Lebanon 554 571 786 849 1055 1083 1085 1043 905 810 610 520 Beirut 390 438 630 672 845 901 887 849 720 660 508 419 Tartus 474 480 655 731 930 979 978 930 781 678 507 444 Al Ladhiqiyah 546 574 779 835 1021 1061 1066 1029 890 806 585 511 Gaza Strip 581 557 751 805 919 989 988 967 827 792 602 582 Port Said 613 583 827 891 1065 1094 1079 1053 903 831 647 580 Alexandria 606 597 849 913 1070 1107 1125 1089 911 840 641 585 Marsa Matrch 532 540 794 854 979 1007 1031 993 837 754 572 519 Djerba Modoun 499 550 744 822 941 969 1030 973 743 609 487 453 Gabes 581 564 745 763 905 897 945 873 724 686 586 572 Sfax 508 542 690 766 917 926 970 902 675 535 471 488 Sousse 466 505 651 739 899 928 999 888 668 518 436 446 Tunis 498 479 680 754 869 921 971 911 739 695 572 518 Annaba 463 493 649 675 830 874 933 823 688 591 449 426 Skikda 457 490 649 675 821 864 924 829 676 579 438 420 Bejaia 491 525 688 715 857 897 949 876 701 611 463 436 Algiers 434 456 616 623 789 757 914 881 706 526 513 414 Oran 598 594 772 830 936 939 991 946 788 679 551 525 C. Performance of the Proposed System The environmental impact and economic performance of the proposed system were evaluated. In this study, the financial parameters (Table IV) are assumed based on other previous scientific studies in different countries. In the present study, the system cost is around $5000, with the estimation being based on recent market data. The estimation is consistent with cost prices available in the literature. TABLE IV. FINANCIAL PARAMETERS Factor Unit Value Inflation rate % 2.5 Discount rate % 3 Reinvestment rate % 9 Project life year 25 Debt ratio % 50 Debt interest rate % 7 Debt term year 20 Electricity export escalation rate % 5 Engineering, Technology & Applied Science Research Vol. 11, No. 4, 2021, 7508-7514 ᔐᔐᔐᔐ PAGE 7512 www.etasr.com Kassem et al.: A Techno-Economic Viability Analysis of the Two-Axis Tracking Grid-Connected … Fig. 3. Annual EG and CF as a function of location. Table V lists the results of the economic performances of the proposed system. The obtained results showed that the value of NPV is positive, which makes the project to be financially and economically feasible. Moreover, it is observed that the developed PV system in Algiers has the longest value of EP of 4.0 years, while Alexandria and Port Said have the lowest EP value (2.8 years). Besides, the maximum and minimum values of SP are recorded in Algiers and Alexandria. These results indicate that the PV projects in all locations make financial sense. Additionally, the lowest value of EPC is found in Alexandria with a value of 0.0334$/kWh followed by Tripoli-Lebanon with a value of 0.0336$/kWh. It is found that Tripoli-Libya and Algiers have the highest value of LCOE compared to other selected regions with a value of 0.0475 $/kWh and 0.0453 $/kWh respectively. In general, the electricity price depends on the amount of energy consumption. For instance, the energy cost calculation in Lebanon starts from 0.0255$/kWh for 0-100kWh energy consumption, 0.04$/kWh for 100-300kWh, 0.0584$/kWh for 300-400kWh, 0.0875$/kWh for 400-500kWh, and 0.146$/kWh for energy consumption over 500kWh. In Syria, it starts from 0.005$/kWh for 1-100kWh energy consumption, 0.007$/kWh for 101-200kWh, 0.01$/kWh for 200-400kWh, 0.015$/kWh for 401-600kWh, 0.015$/kWh for 601-800kWh, 0.061$/kWh for 801-1000kWh, 0.071$/kWh for 1001-2000kWh, and 0.081$/kWh for energy consumption over 2000kWh. In Palestine, it ranges from 0.15$/kWh to 0.17$/kWh for energy consumption over 200kWh. The households are charged a flat rate at 0.045, 0.04, and 0.077$/kWh respectively in Egypt, Algeria, and Tunisia. Hence, the energy production cost of the proposed systems is competitive with the electricity company tariff in the selected countries except for Libya. TABLE V. ECONOMIC PERFORMANCE OF THE PROPOSED PV SYSTEM FOR ALL SELECTED LOCATIONS Location NPV [$] SP [Year] EP [Year] ALCS [$/year] COE[$/kWh] GA-GHG [tCO2] Az Zawiyah 21505.8 5.9 3.5 1235.0 0.0407 5.40 Tripoli-Libya 14927.7 5.9 3.5 1003.4 0.0475 5.40 Al khums 20883.3 6.0 3.6 1199.3 0.0416 5.27 Misratah 25344.5 5.2 3.0 1455.5 0.0357 6.15 Surt 21762.4 5.8 3.5 1249.8 0.0403 5.45 Benghazi 24505.5 5.3 3.1 1407.3 0.0367 5.98 Turbruq 22554.1 5.7 3.3 1295.2 0.0392 5.60 Tripoli-Libya 26215.9 5.1 3.1 1505.5 0.0336 6.98 Beirut 19655.3 6.3 3.8 1128.8 0.0436 5.60 Tartus 21747.5 5.8 3.5 1248.9 0.0403 5.15 Al Ladhiqiyah 25442.0 5.2 3.0 1461.1 0.0356 5.84 Gaza Strip 24324.8 5.3 3.1 1396.9 0.0369 4.28 Port Said 26941.3 4.9 2.8 1547.2 0.034 4.65 Alexandria 27477.5 4.8 2.8 1578.0 0.0334 4.73 Marsa Matrch 24493.0 5.3 3.1 1406.6 0.0367 4.30 Djerba Modoun 22569.0 5.7 3.3 1296.1 0.0391 4.02 Gabes 22640.7 5.7 3.3 1300.2 0.039 4.03 Sfax 21175.8 6.0 3.6 1216.1 0.0412 3.82 Sousse 20382.1 6.1 3.7 1170.5 0.0424 3.71 Tunis 21883.5 5.8 3.4 1256.7 0.0401 3.92 Annaba 19575.6 6.3 3.8 1124.2 0.0437 4.39 Skikda 19340.5 6.4 3.9 1110.7 0.0441 4.35 Bejaia 20601.0 6.1 3.6 1183.1 0.042 4.56 Algiers 18710.7 6.6 4.0 1074.5 0.0453 4.24 Oran 23642.9 5.5 3.2 1357.8 0.0377 5.09 The results demonstrated that the proposed system can help in solving the electricity crisis while simultaneously reducing GHG emissions. Consequently, it can be concluded that the developed system provides a very good insight into the economic viability of the project for all regions. Additionally, the obtained results demonstrated that the development of the proposed 4.2kW PV power system is economically acceptable due to the obtained favorable economic results. IV. LIMITATIONS AND CONCLUSIONS Installing PV systems has become increasingly attractive for residential consumers due to increasing electricity tariff rates while it reduces a country’s dependence on fossil fuels. The objective of the current study was to investigate the feasibility of a two-axis tracking PV system in coastal Mediterranean cities located in different countries using the RETScreen software. Before starting the main conclusions in the present study, it is essential to acknowledge the limitations of this work. First, the assumed financial parameters were Engineering, Technology & Applied Science Research Vol. 11, No. 4, 2021, 7508-7514 7513 www.etasr.com Kassem et al.: A Techno-Economic Viability Analysis of the Two-Axis Tracking Grid-Connected … based on historical values in the literature. Second, the influence of various parameters such as dust, irradiation intensity, air temperature, and relative humidity was neglected due to the limitations of the software. Third, the cost of the proposed projects was estimated based on the existing cost in the literature. The findings from the present study showed the annual value of SR for the selected regions is within the range of 1645.85 to 2141.33kWh/m 2 . Based on these data, the analysis indicates that the selected regions selected cities have the potential for the distribution of PV power systems in household/residential applications. Moreover, the average annual energy output showed that the 4.2kW grid-connected PV system could produce 8824kWh, indicating that it can cover the required electricity needs for one house located in each selected city. These results are supported by the findings in [13]. Based on the financial assumptions used in this study, the average energy production cost ranges from 0.0334 to 0.0475$/kWh for the developed system. Thus, the energy production cost of the proposed system is competitive with the electricity company tariff in the selected countries, except for Libya. The results of this paper demonstrate that a small-scale grid-connected rooftop PV system has the potential to solve the electricity crisis, reduce the consumption of fossil fuel, and reduce the environmental pollution by minimizing the emissions of CO2. 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