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This research investigates the design and optimization of a photovoltaic (PV) water pumping system to address seasonal water demands across five locations with varying elevation heads. The system draws water from a deep well with a static water level of 30 m and a dynamic level of 50 m, serving agricultural and livestock needs. The objective of this study is to accurately size a PV system that balances energy generation and demand while minimizing grid dependency. Meanwhile, the study presents a comprehensive methodology to calculate flow rates, pumping power, daily energy consumption, and system capacity. Therefore, the PV system rating, energy output, and economic performance were evaluated using metrics such as discounted payback period (DPP), net present value (NPV), and sensitivity analysis. The results show that a 2.74 kWp PV system is optimal, producing 4767 kWh/year to meet the system's annual energy demand of 4686 kWh. In summer, energy demand peaks at 1532.7 kWh, while in winter, it drops to 692.1 kWh. Meanwhile, flow rates range from 11.71 m3/h at 57 m head to 10.49 m3/h at 70 m head, demonstrating the system's adaptability to diverse hydraulic conditions. Economic analysis reveals that at a 5% interest rate and an electricity price of $0.15/kWh, the NPV is $6981.82 with a DPP of 3.76 years. However, a 30% increase in electricity prices improves the NPV to $10,005.18 and shortens the DPP to 2.76 years, whereas a 20% interest rate reduces the NPV to $1038.79 and extends the DPP to 6.08 years. Nevertheless, the annual PV energy generation exceeds total energy demand by 81 kWh, reducing grid dependency and lowering electricity costs. Additionally, the PV system avoids approximately 3956.6 kg of CO2 emissions annually, underscoring its environmental benefits over traditional pumping systems. As a result, this study highlights the economic and environmental viability of PV-powered water pumping systems, offering actionable insights for sustainable energy solutions in agriculture. [ABSTRACT FROM AUTHOR]

Nowadays, water pumping systems powered by solar-cell generators are one of the most important applications. It’s a promising alternative to conventional electricity and diesel based pumping systems, especially for applications like community water supplies and irrigation. This study presents a monitored standalone photovoltaic solar direct pumping system using the Maximum Power Point Tracking (MPPT) algorithm to optimize the solar photovoltaic conversion efficiency. It was done at ISET-Rosso in Mauritania. The experimental setup based on Lorentz PS1200C-SJ8-5 pumping system consists of four photovoltaic (PV) panels, inverter PS1200, BLDC motor, centrifugal pump and a storage tank. The system has been monitored, in order to determine the relationship between: the DC power produced by the PV generator and the solar radiation; the water flow and the DC power and by then the relationship between the water flow and the solar radiation. The effect of ambient temperature and solar radiation on the PV panels was also done under Matlab/Simulink environment and compared to the experimental results. ©2019. CBIORE-IJRED. All rights reserved

Abstract Predicting stand-alone photovoltaic (PV) pumping system performances at different heads is a key issue for designers and installers. The previous studies show that the head of well has a big effect on the performance of PV pumping system (PVPS). In this paper, a new practical model is proposed, in order to predict the daily pumped water quantity (Q d) and motor-pump efficiency for a given daily PV array energy output (E PV) and any head (H). This model based on the no-linear translation of operating points for PV array energy output and daily pumped water quantity. This makes practical translation procedure much easier; only four E PV -Q d operating points measured at any E PV and H can be used as the reference E PV -Q d operating points. For the validation, the test and measurement campaign carried out on the PVPS (model PS150) installed in the city of Adrar in the south of Algeria (Latitude 27° 53′ N, Longitude 0° 17′ W) has provided the necessary experimental data. The calculation of Q d over a wide range of E PV and H well agree with experimental results of PVPS. This model can be used to investigate the reliability of the system to supply water in desert areas or isolated sites where no electricity supply is available depending on the required water demand. It is found that the optimum value of motor-pump efficiency can be obtained from PVPS fed by array PV with a nominal 300 Wp and installed in a well of 13.5 m head. We indicate that the translation of the E PV -Q d operating points based on this method is effective for estimating the performance of the PVPS installed at any head and/or in any region. Highlights • An experimental study of stand-alone PV pumping system PS150 is carried out for two PV array configurations. • A new practical model is proposed for predicting the daily pumped water quantity and motor-pump efficiency. • Effectiveness of the proposed model and methodology is examined. • System efficiency depends basically on two factors: the pumping head H and the PV array energy output. • The best performance of PS150 has been reached for a head of 13.5 m. [ABSTRACT FROM AUTHOR]

The Saharan medium by its arid nature and the availability of solar immense in our country, 7.8 kWh/m²/day can return the application of the water pumping via photovoltaic (PV) pumping system. However, due to their relatively high cost, the sizing of these systems implies the use of an accurate tool. In this paper, a new practical formulation is proposed, in order to predict the daily pumped water quantity (Qd) for a given daily array energy output (Epv) profile and any total manometric head (H). The model based on the linear interpolation/extrapolation, called: translation of the Epv-Qd characteristics of pumps. This technique has been developed based on experimental study. This makes practical translation procedure much easier; only four pv-Qd characteristics measured at any Epv and H can be used as the reference Epv-Qd characteristics. The calculated the Qd over a wide range of Epv and H well agree with experimental results of PV pumping system. These results indicate that the translation of the Epv-Qd characteristics based on this method is effective for estimating the performance of the PV pumping system under various climatic conditions. [ABSTRACT FROM AUTHOR]

This research pertains to solar photovoltaic (PV) pumping for aeration of aquaculture ponds and evaluates it economically. A stand-alone photovoltaic aeration system based on recycling of water at 10 cm under the water surface, at the surface (0 cm) and above the surface (30 cm) on a perforated tray was evaluated. The effect of pump discharges (35, 50, 65 L/min) on standard oxygen transfer rate (SOTR) and standard aeration efficiency (SAE) was investigated. Results revealed that the daily averages of PV energy output, PV efficiency and load energy were 0.844 kWh/d, 9.87% and 0.615 kWh/d, respectively, at 65 L/min and 42.7°C PV temperature. Water flow upward at 30 cm over the perforated tray in the radial direction proved to be better since it gave an opportunity for the exchange of gaseous between the water and the atmosphere. The SOTR and SAE for the third position were 0.025 kgO2/h and 0.1 kgO2/kW h, respectively. [ABSTRACT FROM PUBLISHER]

The use of solar energy especially for water pumping is well adapted for most rural and desert areas. The latter have a great solar energy potential and a shallow underground hydraulic potential. Solar pumping is an exception; it is in fact relatively easy to store potential energy of water with a more reliable elevated tank. In this paper, we present modeling and sizing of photovoltaic pumping system with battery storage. To track maximum output power operating point of the photovoltaic generator, we use three optimization methods: Perturbation and Observation (P&O), Fuzzy Logic Controller (FLC) and Neuro-Fuzzy algorithm (NF). Batteries are added for the purpose of ensuring continuous power flow. The storage battery model used is presented with obtained measurement results. The obtained simulations developed under Matlab/simulink package, show the robustness and effectiveness of the Neuro fuzzy controller. [ABSTRACT FROM AUTHOR]

The perturb and observe (P&O) algorithm is one of the most commonly utilized maximum power point tracking (MPPT) control schemes for photovoltaic (PV) generators. However, the operation of this algorithm at high perturbation frequencies, when the system response to MPPT perturbations is never allowed to settle, has not been given adequate attention in the literature. This paper characterizes system behavior in this mode of operation for standalone PV systems feeding resistive loads and motor-pump loads. Simulation and experimental results show that the P&O algorithm operating at a high perturbation frequency may offer higher energy utilization efficiency and better system performance, despite the resulting nonperiodic waveforms of the system. [ABSTRACT FROM AUTHOR]