Reliability and performance evaluation of a solar PV

Scientific Reports volume 13, Article number: 14174 (2023) Cite this article

1 Altmetric

Metrics details

The operation and effectiveness of a solar-powered underground water pumping system are affected by many environmental and technical factors. The impact of these factors must be investigated to be considered when developing these systems and to ensure their dependability. This study evaluated the dependability and performance of photovoltaic water pumping system (PVWPS) under real operating conditions by examining the effects of solar irradiance, panels’ temperature, and components' efficiency. From December 2020 to June 2021, experiments were conducted on a 10 hp PVWPS located in Bani Salamah, Al-Qanater-Giza Governorate, Egypt, at latitude 30.3° N, longitude 30.8° E, and 19 m above sea level. The irradiance values reached 755.7, 792.7, and 805.7 W/m2 at 12:00 p.m. in December, March, and June, respectively. Furthermore, the irradiance has a significant impact on the pump flow rate, as the amount of pumped water during the day reached 129, 164.1, and 181.8 m3/day, respectively. The panels' temperatures rose to 35.7 °C, 39.9 °C, and 44 °C, respectively. It was observed that when the temperature rises by 1 degree Celsius, efficiency falls by 0.48%. The average efficiency of photovoltaic solar panels reached its highest value in March (13.8%) and its lowest value in December (13%).

The demand for electricity has increased as a result of the rapid rise in both the world's population and technology. The use of fossil fuels, which results in a significant amount of CO2 being released into the atmosphere, is one of the factors that has a significant impact on climate change. Because of these factors, many nations have begun to use a clean, accessible, renewable form of energy that is sustainable (primarily solar power)1,2. Diesel-powered pumps are commonly used for irrigation. However, due to an increase in the price of oil on the international market, harmful emissions from its combustion, high maintenance costs, and a short lifetime, manufacturers have been forced to find an alternative. The use of renewable energy may lessen the need for fossil fuels. Because solar energy is widely available, even in remote areas, it is a viable alternative to diesel-powered water pumps3,4. Solar energy is an environmentally friendly, renewable source of energy with no adverse effect on the environment when compared to fossil fuel-based sources of fuel for energy generation, and the energy can be utilized in rural areas where electricity is not easily accessible. It is one of the most important renewable energy sources that can be harnessed to generate electrical energy, which can then be used as a source of power to drive an electrical water pump for irrigation purposes5,6. The energy from solar radiation is primarily used to create thermal and electric energy. It is a substitute method for generating electricity for a wider range of industrial uses as well as in some other fields like building applications, food storage products, and agricultural uses to power pumps, engines, motors, and different industrial appliances like fans and refrigerators7,8. Using a stand-alone PV (The nomenclature are illustrated in Table 1) system in the sector of agriculture for irrigation is now becoming more popular day by day around the world. The use of solar power ensures the use of green energy in the system9,10. Egypt receives a lot of direct solar radiation because it is a country in the sun belt, with annual amounts ranging from 2000 to 3200 kWh/m2 from north to south. The sun’s shine duration ranges from 9 to 11 h, with a few cloudy days all over the year11,12. Solar-powered pumping systems provide water for a variety of uses, including domestic use and to fulfill the demand of water in the field of irrigation, livestock watering, and village water supply10,13. A PV energy generator, power converters, an electric motor, and a pump are the components of a solar-powered water pumping system14,15. Solar energy can be used thermally by using solar thermal collectors for heating and drying, or photovoltaically by converting sunlight into electricity using solar cells made of semiconductor materials such as silicon. Solar panels, also known as photovoltaic panels, are made by connecting solar cells in series. Both types have numerous applications in agricultural settings, making life easier and contributing to increased productivity. The solar-generated electricity can then be used to power the water pump or stored by pumping water into a high tank during the day and distributing it by gravity after dark. A battery will be required to store the energy generated during the day for electrical applications at night16,17. There are two methods for pumping water with a photovoltaic system: Solar energy is consumed in “real time” in the first technique, which is known as “pumping in the sun.” This solution necessitates water storage in a tank (water pumped during the day is stored for later use in the evening, for example). The second technique is to use batteries to store energy. The energy stored during the day can be used to pump water later18. The output power of a photovoltaic system is affected by a number of factors, including solar radiation, PV surface temperature, shadow, tilt angle, and dust accumulation. A PV system’s design should consider a number of factors and environmental conditions, including but not limited to tilt angle, irradiation, and Temperature. These variables have a significant impact on the PV’s output power19,20,21. When the solar panel surface temperature increases by 1 °C in summer and winter, the efficiency decreases by 0.48% and 0.42%, respectively22,23. A photovoltaic system's output power is affected by a number of factors, including PV surface temperature, tilt angle, and system component efficiencies. These factors should be researched and considered when designing and operating a PV system. When the surface of the PV module is directly perpendicular to the sun's rays, the maximum output energy from a PV cell is obtained. Because tracker orientation is oriented to maximum irradiation, it produces more PV power than horizontal orientation24,25. It was noticed that many of the PV water pumping stations, although well designed from an engineering point of view, face problems after that during the operation process, and also that the quantities of water pumped from the station are lower than expected. This is due to the lack of attention paid to the environmental and technical factors that have a negative impact on the station and its performance. Therefore, The aim of this work was to study the reliability and performance of the PV-powered underground water pumping system under actual operating conditions, investigate negative impact factors on the PV system, and demonstrate the possibility of relying on this system as a safe and reliable alternative to the traditional energy systems that are expensive and pollute the environment.

Experiments were carried out in Bani Salamah, Al-Qanater, Giza Governorate, Egypt, located at latitude 30.325364° N, longitude 30.805797° E, and 19 m above sea level, from September 2020 to June 2021, and measurements were taken every 15 min through the day between sunrise and sunset.

The design of the solar water pumping system goes through several stages, and some information such as daily water consumption, static water level, and the pumping pipes length and diameter must be known. In the present case, average water consumption = 175 m3/day, static level = 47 m, draw down = 5 m, the pumping pipes length = 70 m, the pressure of irrigation network = 1 bar, and the pumping pipes diameter = 3 Inches = 76.2 mm.

Total dynamic head TDH (m) and flow rate Q (m3/hr.) should be specified accurately to select the suitable pump.

The friction head Hf (m) represents the loss of pressure in pipe due to fraction. The friction head could be calculated from Hazen William as Eq. (1)26.

where Hf = friction losses (m) , K = constant coefficient = 1.22*1010, L = Length of pumping pipes (m) , Q = discharge (lit/s) , d = internal diameter of pumping pipes (mm).

The total dynamic head TDH could be expressed as Eq. (2)27:

where Hst = static head (m), Hd = drawdown head (m), Hf = friction head (m), and Hp = Pressure head (m).

The appropriate pump must be chosen from the Pump efficiency schemes using discharge (25 m3/h) and TDH (70 m). Schemes recommended a pump with 10 hp and 8 stages.

The required hydraulic power HP (W) could be expressed as Eq. (3)22.

where HP = hydraulic power (W), Q = discharge (m3/h), ρ = water density (1000 kg/m3), g = Gravity acceleration (9.81 m/s2).

Inverter: The appropriate inverter for the pump can be chosen as follows28: Inverter power ≥ motor power.

Lorentz solar inverter 15 kw will be used. From inverter data sheet (MPPT voltage 500 to 600 V).

The panels output drops during the morning, cloudy, and sunset periods. The total power needed to operate the pump Multiply by 1.25 determines the size of the PV panels29. Solar panel’s power = 1.25 × 10 hp = 12.5 hp = 12.5 hp × 745.7 W = 9321 W. Panels number = 9321/260≃36 panels.

The type of connection between panels (parallel or series) depends on the voltage and current that the inverter needs to work efficiently. As a result, according to the Lorentz inverter datasheet, the MPPT voltage range is 500 to 600 V. Therefore, every 18 panels were connected in series to form two arrays. Voltage of each array = 18 × 30.5 = 549 V.

The two sets of arrays were connected in parallel in order to give a current = 2 × 8.53 = 17.06 amps. Figure 1 shows the electric diagram for a PV water pumping system, the electrical components, and connection methods.

The electric diagram for PV system.

PV cells are the fundamental building blocks of almost all PV modules. To increase the voltage, panels are connected in series. Several of these strings of cells can be connected in parallel to increase current. Implemented photovoltaic system (PV) consisting of two array groupings, each of which is made up of 18 modules connected to a metal structure in series whose tilt angle can be changed manually as shown in Fig. 2. To give the inverter a current of 17 A and 549 V, two groups were linked in parallel. The type of module used in these experiments is Renesola (JC260M-24/Bb) 260 W. The datasheet for the module is illustrated in Table 2.

The two sets of PV arrays.

The inverter converts the DC power produced by the PV modules to the AC power used to drive the pump motor. It also adjusts the output frequency in real time based on the prevailing irradiation levels, and it works with MPPT (Maximum Power Point Tracking) technology to maximize power output at all irradiation levels. Table 3 illustrates the Lorentz inverter data sheet.

The pumping unit is made up of three key components: a three-phase alternating current motor, a multistage submersible pump, and a deep well. Table 4 shows the technical data about the Vansan VSM 6/10 submersible 3-phase electric motor. The Vansan VSP-SS 06030/08 centrifugal submersible pump technical data is presented in Table 5, and the performance curves are shown in Fig. 3.

The pump performance curves.

A pyranometer was used to measure solar radiation, as shown in Fig. 4. It is made up of a glass dome, a thermopile sensor, and instrument housing. Across a wide wavelength range, incoming radiation is virtually totally absorbed by a blackened horizontal surface. According to the temperature difference between the black absorbing surface and the instrument enclosure, the detector produces a very small voltage. This is on the order of 10 microvolts per square meter (W). The calibration process determines the specific sensitivity of each pyranometer, which is used to translate the output signal in microvolts into the total irradiance in W/m2. The sensitivity of the used KIPP&ZONEN pyranometers is (12.11*10–6) V/Wm-2 and (14.11*10–6) V/Wm−2. To convert the output signal of pyranometer in mV into global irradiance in W/m2 the Eq. (4) was used.

where IR: insolation, W/m2, Pyranometer sensitivity: (12.11*10–6) V/Wm-2, and (14.11*10–6) V/Wm-2, mV= Pyranometer output.

Pyranometers.

The solar panels’ temperature was measured every hour from sunrise to sunset with a digital infrared thermometer, and Table 6 illustrates the infrared thermometer datasheet. Also, a thermocouple thermometer was used to measure temperature, and Table 7 illustrates the infrared thermometer datasheet.

A UNI-T UT39C multimeter was used to measure the PV system’s output voltage and current. A multimeter, commonly referred to as a Volt/Ohm meter, is an electronic measurement device that incorporates multiple features into a single device. Voltage, current, and resistance measurements are among the capabilities of a typical multimeter. The digital multimeter’s datasheet is displayed in Table 8. Ohm's law was used to determine the power (Eq. 5).

where PDC: PV system output power, W; IDC: current, ampere; VDC: voltage, volt.

The 4-inch, 10-bar flow meter (ISO 4064 class B) is a device used to continuously measure, record, and display the volume of water passing through the measurement transducer under metering conditions. The flowmeter datasheet is illustrated in Table 9.

The average daily sunshine hours across Egypt are about 9–11 h, so Egypt receives abundant solar energy with an annual direct solar radiation of about 2,000–3,200 kWh/m2/year30. Measurements of the intensity of the solar radiation were made using a pyranometer and digital solar radiation meter. Figure 5 shows hourly-average solar radiation (W/m2) for the months of December 2020, March 2021, and June 2021. Results showed that the highest values for solar radiation reached 976.5, 1067.3, and 981.0 W/m2, respectively, at 12:00 p.m.

Hourly-average solar radiation in different months (December, March, and June).

Daily average solar radiation is shown in Fig. 6, which illustrates the increase in daily average solar radiation in June (805.7 W/m2) compared to March (792.7 W/m2), and December (755.7 W/m2). It is noticeable that the intensity of solar radiation increases on sunny days and decreases on cloudy days, where clouds disperse the sun's rays. Also, the intensity of solar radiation varies with the earth`s circulation around its orbit and around the sun, where the radiation decreases in the early morning and winter (Dec.) because the altitude angle of the sun is small and the radiation penetrates a long distance of the atmosphere, while in the noon and summer (June) the intensity of the solar radiation increases because the altitude angle becomes large. and the radiation is penetrating the atmosphere over a short distance31.

Daily-average solar radiation (W/m2) in different months (December, March, and June).

The current produced by the panels is directly and uniformly affected by solar radiation32. Where the produced current increases when radiation increases and decreases when solar radiation decreases. Figure 7 illustrates the correlation between direct current (DC) generated by solar panels and the intensity of solar radiation in March and June, respectively. The direct current (DC) produced by solar panels is positively affected by intensity of solar radiation as shown in Fig. 8.

Solar radiation (IR) and Direct current (DC) in March and June.

The Hourly-average radiation and DC current.

The hourly average voltages that were delivered by the PV generator are shown in Fig. 9 for the months of December, March, and June. It is clear that December has the highest voltage values of all months, followed by March, and the lowest values in June. It is observed that the highest months in solar radiation and temperature were the ones with the lowest output voltage from PV systems, which may be affected by high temperatures in the summer and a clear atmosphere. It is also apparent that the voltage is not significantly affected by solar radiation33 as illustrated in Fig. 10.

Hourly-average PV system voltage in different three months (December, March, and June).

The Hourly-average radiation and PV system voltage.

The DC power produced by solar panels is affected by the intensity of solar radiation. Figure 11 illustrates the correlation between DC power and irradiance in March and June, respectively. Figure 12 depicts the positive relationship between solar radiation and the electrical power generated by the panels, which is based on the positive relationship between radiation and electrical current. Figure 13 displays the daily-average electric DC power generated by PV panels for the months of December, March, and June. It is observed that March has the highest power values all day, followed by June, and the lowest values are in December. It’s clear that June has the highest month of solar radiation, but in this month the power was less than March because the module temperature in June was higher than March, so the efficiency in March was greater than June33.

The correlation between irradiance and DC power in March and June.

The Hourly-average radiation and DC power.

The daily-average electric Dc power at different months.

It turns out there is a direct correlation between hydraulic power and the intensity of solar radiation, as shown in Fig. 14 for March and June. Experiments have revealed an increase in hydraulic power as the intensity of solar radiation increases. Figure 15 illustrates the positive relationship between solar radiation and electric power. The daily average values of hydraulic power in December, March, and June reached 3795.2, 4312.3, and 4207.4 W, respectively.

The correlation between Irradiance (IR) and hydraulic power (H.P) in March and June.

The Hourly-average radiation and hydraulic power.

The intensity of solar radiation (IR) has a significant impact on pump discharge (Q)34. The correlation between flow rate and intensity of solar radiation is illustrated in Fig. 16 for March and June. Figure 17 shows the hourly average pump discharge through three months. The hourly average flow rate in December, March, and June reached values of 18.2, 22.2, and 22.8 m3/h. The number of operating hours of the pump were 7, 7, and 8 h, and the amount of water that was pumped during the day was 129, 164.1, and 181.8 m3/day, respectively.

The correlation between irradiance and discharge in March and June.

Hourly average Discharge (m3/hr.) at different months .

Environmental factors surrounding solar panels directly affect solar panel production, with temperature having the greatest impact on panel efficiency35. Where the panel heats up and the performance of the panel degrades as a result of the increased air temperature. Figure 18 shows the average temperature of the panels with values 35.7 °C, 39.9 °C, and 44 °C in December, March, and June, respectively.

Average temperature of panels over four months.

The efficiency of solar panels is negatively affected by temperature increasing as shown in Fig. 19. So, the performance in a high-temperature month such as June is lower than the performance in a moderate-temperature month such as March. The efficiency of panels has the lowest value at 12:00 pm because at noon the temperature has the highest value through the daytime. It’s noticeable from Fig. 20 that when temperature increases, the panels efficiency decreases, and when the temperature reaches the highest value during the day 47.4 °C at noon, the panels efficiency decreased to the lowest value 12.8%. also, it’s clear that when the temperature increases by 1 °C the panels efficiency ηpanels decreases by 0.48%. Previous studies found a decrease in efficiency of 0.5%/1 °C36.

The correlation between panels temperature and its efficiency.

Panels temperature and panels efficiency in summer.

The inverter can be considered the heart of the system because of its importance. It is an electronic device that converts the direct current (DC) produced by solar panels to a suitable alternative current (AC) to operate the pump. It is also controlling the pump, regulating its work, and protecting it from changes in the current produced by solar panels. The inverter's performance was studied by studying several factors, such as its frequency, output power, and efficiency.

The inverter frequency was directly affected by the direct current produced by solar panels37, as shown in Fig. 21. While the highest current was in March, the average frequency reached 46.6 Hz, and the lowest current was in December, the average frequency reached 44.6 Hz. where, the average frequency value was 46.4 Hz in June as shown in Fig. 22. The highest frequency values were at 12:00 noon, that reached 47.4, 50, and 48.5 Hz in December, March, and June, respectively, as seen in Fig. 23.

The correlation between direct current (IDC) and frequency (Hz).

Direct current and frequency at different months.

Inverter Frequency (Hz) at different months.

The values of electric AC power delivered by the inverter are positively dependent on the values of input electric DC power and inverter efficiency38. The correlation between AC and DC power is illustrated in Fig. 24 for March and June. The highest DC power value was in March, and the lowest value was in December. Therefore, it is noticeable from Fig. 25 that the highest AC power values were in March, and the lowest values were in December. Where The average AC power values reached 6416.2, 7119.7, and 6748.6 W in December, March, and June, respectively.

The correlation between DC Power PDC and AC Power PAC in March and June.

Average AC power PAC at different months.

As illustrated in Fig. 26, direct current delivered by solar panels has a direct impact on inverter efficiency. Where the inverter should be supplied with the appropriate voltage and the appropriate direct current to operate it efficiently38. While the average direct current values in December and March reached 12, and 13.64, amperes, respectively. Therefore, the average inverter efficiency reached 89.64%, and 90.43%, respectively, as shown in Fig. 27.

The correlation between direct current (DC) and inverter efficiency.

The average inverter efficiency ηinv in different seasons.

The average pumping unit efficiency (ηpump) for different months is shown in Fig. 28 where the efficiency (ηpump) values in December, March, and June reached 63.5%, 67.6%, and 68.7%, respectively. It’s clear that the pumping unit efficiency (ηpump) is affected by the intensity of solar radiation IR, panels temperature, and AC power (PAC). Figure 29 illustrate the correlation between pumping unit efficiency and solar radiation, and Fig. 30 illustrate the correlation between pumping unit efficiency AC power.

The average pumping unit efficiency at different months.

Intensity of solar radiation and pumping unit efficiency.

AC power and pumping unit efficiency in June.

The overall system efficiency can be calculated by dividing the system output (hydraulic power) by the system input (solar radiation power), or by multiplying the efficiencies of all system components, (solar panels, inverter, and pumping unit). The overall efficiency of the system is directly affected by solar radiation, but when solar radiation exceeds 900 W/m2 at noon, this is accompanied by an increase in temperature, which negatively affects the efficiency of the solar panels and thus the overall system efficiency, as shown in Fig. 31. In December, March, and June, respectively, the average system efficiency was 7.40%, 8.46%, and 8.51%.

Intensity of solar radiation and overall efficiency.

Solar radiation, panels' temperature, and component efficiency are the most important factors affecting the operation and performance of PV water pumping systems. The panels voltage is not significantly affected by solar radiation, where it tends to be stable, while the direct current is directly and uniformly affected by solar radiation. Furthermore, when the panel's temperature rises by 1 °C, its efficiency falls by 0.48 percent. Irradiance and the number of sunshine hours had a significant impact on the volume of water pumped during the day, which reached 129, 164.1, and 181.8 m3/day, respectively, in December, March, and June. In conclusion the overall average system efficiency was 7.40%, 8.46%, and 8.51%, respectively. Therefore, The results of the study showed the reliability of PV-powered underground water pumping systems, provided that negative environmental and technical factors are considered when developing and designing these systems.

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Sadat, S. A., Faraji, J., Nazififard, M. & Ketabi, A. J. S. E. T. The experimental analysis of dust deposition effect on solar photovoltaic panels in Iran’s desert environment. Sustain. Energy Technol. Assess. 47, 101542 (2021).

Google Scholar

Chowdhury, M. S. et al. An overview of solar photovoltaic panels’ end-of-life material recycling. Energy Strategy Rev. 27, 100431 (2020).

Article Google Scholar

Verma, S. et al. Solar PV powered water pumping system–A review. Mater. Today: Proc. 46, 5601–5606 (2021).

Article Google Scholar

Mishra, S., Verma, S., Chowdhury, S. & Dwivedi, G. J. M. T. P. Analysis of recent developments in greenhouse dryer on various parameters-a review. Mater. Today Proc. 38, 371–377 (2021).

Article CAS Google Scholar

Allouhi, A. et al. PV water pumping systems for domestic uses in remote areas: Sizing process, simulation and economic evaluation. Renew. Energy 132, 798–812. https://doi.org/10.1016/j.renene.2018.08.019 (2019).

Article Google Scholar

Bhosale, S. K. J. I. J. O. E. R. Development of a solar-powered submersible pump system without the use of batteries in agriculture. Indones. J. Edu. Res. Technol. 2, 57–64 (2022).

Article Google Scholar

Rajendran, M., Chinnasamy, M., Muthusamy, S. & Nair, M. 1–31 (2021).

Zhang, H. et al. Solar energy conversion and utilization: Towards the emerging photo-electrochemical devices based on perovskite photovoltaics. Chem. Eng. J. 393, 124766. https://doi.org/10.1016/j.cej.2020.124766 (2020).

Article CAS Google Scholar

Liu, K. et al. Optimal sizing of the stand-alone photovoltaic system for a solar-powered translational sprinkler irrigation machine considering the loss of power supply probability. Math. Problems Eng. 2022, 1–10 (2022).

CAS Google Scholar

Waleed, A. et al. in 2019 International Symposium on Recent Advances in Electrical Engineering (RAEE). 1–4 (IEEE).

Abdulhady, H. & Metwally, H. J. T. E. I. J. O. E. S. Review of the factors affecting the solar energy yield in Egypt. Egypt. Int. J. Eng. Sci. Technol. 29, 51–60 (2020).

Google Scholar

Elboshy, B., Alwetaishi, M. M. H., Aly, R. & Zalhaf, A. S. A suitability mapping for the PV solar farms in Egypt based on GIS-AHP to optimize multi-criteria feasibility. Ain Shams Eng. J. 13, 101618. https://doi.org/10.1016/j.asej.2021.10.013 (2022).

Article Google Scholar

Sharma, R., Sharma, S. & Tiwari, S. J. M. T. P. Design optimization of solar PV water pumping system. Mater. Today Proc. 21, 1673–1679 (2020).

Article Google Scholar

Varshney, A., Sharma, U. & Singh, B. J. I. P. E. Self-regulated DC-link control of synchronous reluctance motor-driven solar water pumping system. IET Power Electron. 12, 3220–3230 (2019).

Article Google Scholar

Gevorkov, L., Domínguez-García, J. L. & Romero, L. T. Review on solar photovoltaic-powered pumping systems. Energies 16, 94 (2023).

Article Google Scholar

Sekmen, U., Yildiz, O. F., Yilmaz, M., Ozdemir, O. J. J. O. W. & Change, C. Using solar photovoltaic energy in urban water supply systems: A case study in Kayseri Turkey. J. Water Clim. Change 13, 2048–2069 (2022).

Article Google Scholar

Alagumalai, A., Anvari, S. & Awad, M. M. in Solar-Driven Water Treatment (eds Omid Mahian, Jinjia Wei, Robert A. Taylor, & Somchai Wongwises) 1–35 (Academic Press, 2022).

Abdelkader, H. & Mohammed, Y. in E3S web of Conferences. 06001 (EDP Sciences).

Mustafa, R. J., Gomaa, M. R., Al-Dhaifallah, M. & Rezk, H. J. S. Environmental impacts on the performance of solar photovoltaic systems. Sustainability 12, 608 (2020).

Article CAS Google Scholar

Elsaadawi, Y., Tayel, S. A., El-Maaty, A. A. E. & Mostafa, E.J.A.-A.J.O.A.E. Hydrophobic nanocoating impacts on the PV panels’ currentvoltage and power-voltage curves. Al-Azhar J. Agric. Eng. 4, 1–9 (2022).

Google Scholar

Shi, C. et al. Effect of high-velocity sand and dust on the performance of crystalline silicon photovoltaic modules. Sol. Energy 206, 390–395 (2020).

Article ADS CAS Google Scholar

Tayel, S., Lithy, A., Hegazi, A. & El-Saadawi, Y. J. M. J. O. A. E. Performance evaluation of water pumping system powered by solar energy. Misr J. Agric. Eng. 36, 283–302 (2019).

Article Google Scholar

Bayrak, F., Oztop, H. F. & Selimefendigil, F. Effects of different fin parameters on temperature and efficiency for cooling of photovoltaic panels under natural convection. Sol. Energy 188, 484–494. https://doi.org/10.1016/j.solener.2019.06.036 (2019).

Article ADS Google Scholar

Abdeen, E., Orabi, M. & Hasaneen, E.-S. Optimum tilt angle for photovoltaic system in desert environment. Sol. Energy 155, 267–280. https://doi.org/10.1016/j.solener.2017.06.031 (2017).

Article ADS Google Scholar

Kapoor, M. & Garg, R. D. Evaluation of optimum PV tilt angle with generated and predicted solar electric data using geospatial open source software in cloud environment. Sādhanā 46, 108. https://doi.org/10.1007/s12046-021-01621-4 (2021).

Article Google Scholar

Abdulameer, L. S., Dzhumagulova, N., Algretawee, H., Zhuravleva, L. & Alshammari, M.H.J.E.-E.J.O.E.T. Comparison between Hazen-Williams and Darcy-Weisbach equations to calculate head loss through conveyancing treated wastewater in Kerbala city Iraq. Eastern-Eur. J. Enterp. Technol. 1, 115 (2022).

Google Scholar

Scherer, T. F. Irrigation water pumps. (1993).

Kalogirou, S. A. in Solar Energy Engineering (Second Edition) (ed Soteris A. Kalogirou) 481–540 (Academic Press, 2014).

Al-Smairan, M. Application of photovoltaic array for pumping water as an alternative to diesel engines in Jordan Badia, Tall Hassan station: Case study. Renew. Sustain. Energy Rev. 16, 4500–4507. https://doi.org/10.1016/j.rser.2012.04.033 (2012).

Article Google Scholar

Hemeda, S., Aboukarima, A. & El-Bakhshawan, M. in The 20th Annual Conference of Misr Society of Agriculture Engineering. 33–50.

Wald, L. Basics in solar radiation at Earth surface. (2018).

Hasan, K. et al. Effects of different environmental and operational factors on the PV performance: A comprehensive review. Energy Sci. Eng. 10, 656–675 (2022).

Article Google Scholar

Karafil, A. Temperature and solar radiation effects on photovoltaic panel power. J. New Results Sci. 5, 48–58 (2016).

Google Scholar

Hassan, S. A., El-Wahab, A., El-Shal, A. & AbdAllah, W. J. Z. J. O. A. R. Performance evaluation of a small ac/dc solar water pumping system for roof cultivation. Zagazig J. Agric. Res. 46, 65–80 (2019).

Article Google Scholar

Rabaia, M. K. H. et al. Environmental impacts of solar energy systems: A review. Sci. Total Environ. 754, 141989. https://doi.org/10.1016/j.scitotenv.2020.141989 (2021).

Article ADS CAS PubMed Google Scholar

Ali, H. M. J. S. E. Recent advancements in PV cooling and efficiency enhancement integrating phase change materials based systems–a comprehensive review. Sol. Energy 197, 163–198 (2020).

Article ADS Google Scholar

Ketjoy, N., Chamsa-ard, W. & Mensin, P. Analysis of factors affecting efficiency of inverters: Case study grid-connected PV systems in lower northern region of Thailand. Energy Rep. 7, 3857–3868. https://doi.org/10.1016/j.egyr.2021.06.075 (2021).

Article Google Scholar

Park, C.-Y. et al. Inverter efficiency analysis model based on solar power estimation using solar radiation. Process 8, 1225 (2020).

Article CAS Google Scholar

Download references

Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB). This research did not receive any specific grants from funding agencies in the public, commercial, or not-for-profit sectors.

Agricultural Engineering Department, Faculty of Agriculture, Cairo University, Giza, Egypt

Nesma Mohamed Ahmed

Agricultural Engineering Department, Faculty of Agriculture, Cairo University, Giza, Egypt

Ahmed Mahrous Hassan & Mohamed Abdelwahab Kassem

Nuclear Research Center, Egyptian Atomic Energy Authority, Inshas, Egypt

Ahmed Mahmoud Hegazi

Faculty of Agricultural Engineering, Al-Azhar University, Cairo, Egypt

Youssef Fayez Elsaadawi

You can also search for this author in PubMed Google Scholar

All authors participated in the experiments. All authors participated in writing the manuscript. All authors participated in the examination of the manuscript. All authors read and approved the final manuscript.

Correspondence to Youssef Fayez Elsaadawi.

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

Ahmed, N.M., Hassan, A.M., Kassem, M.A. et al. Reliability and performance evaluation of a solar PV-powered underground water pumping system. Sci Rep 13, 14174 (2023). https://doi.org/10.1038/s41598-023-41272-5

Download citation

Received: 17 April 2023

Accepted: 24 August 2023

Published: 30 August 2023

DOI: https://doi.org/10.1038/s41598-023-41272-5

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.