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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 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]

Abstract: Photovoltaic pumping systems (PVPS) based on standard frequency converters (SFCs) are currently experiencing a growing interest in pumping programmes implemented in remote areas because of their high performance in terms of component reliability, low cost, high power range and good availability of components virtually anywhere in the world. However, in practical applications there have appeared a number of problems related to the adaptation of the SFCs to the requirements of the photovoltaic pumping systems (PVPS). Another disadvantage of dedicated PVPS is the difficulty in implementing maximum power point tracking (MPPT). This paper shows that these problems can be solved through the addition of a basic industrial programmable logic controller (PLC) to the system. This PLC does not increase the cost and complexity of the system, but improves the adaptation of the SFC to the photovoltaic pumping system, and increases the overall performance of the system. [Copyright &y& Elsevier]

Abstract: Photovoltaic (PV) pumping offers the possibility of supplying water to remote and desert regions for their daily needs. The sizing of the PV pumping systems is a very significant step in order to optimize the power peak of the PV array and to ensure the best choice of the motor, the pump and the inverter. Two mathematical models were proposed in this article to contribute in the studies of PV pumping sizing. These models link directly the operating electrical power to the water flow rate of the pump versus total head. These models are based essentially on the experimentation of pumps on CDER PV pumping test facility. Two pumping systems are tested: the first uses a centrifugal pump and the second uses a positive displacement pump. The results obtained by the models are very satisfactory. Also, the models enabled us to simulate the electrical and hydraulic performances of two tested pumps. The performances are calculated using the measured meteorological data of different sites located in Sahara and coastline regions of Algeria. [Copyright &y& Elsevier]

Abstract: The precise determination of solar radiation intensity is important for accurate system sizing. For PV pumping system case, the issue becomes more important since inaccurate solar radiation data nonlinearly reflected to the calculations. Inappropriate solar radiation model selection for a specific design site is a major cause for inaccurate system sizing. The differences in power output of a PV pumping system due to using some solar radiation correlations are examined here. The results are then compared with those of long-term solar radiation measurements. It is reported that the system sizing with the measurements and the most appropriate correlation for the application site significantly differ since the errors in predicting solar radiation data are nonlinearly propagated to the system power output. [Copyright &y& Elsevier]

Abstract: This paper presents two mathematical motor-pump models for photovoltaic (PV) applications. These models will allow us to obtain the operating point with the PV array and the flow rate of the pumped water. The modelled motor-pump characteristics are current–voltage and flow–voltage. The models are established for centrifugal and positive displacement pumps coupled to DC motors. The experimental data is obtained in our pumping test facility. A simplified method is proposed to obtain the parameters of these models in order to reduce the number of experimental measurements to the minimum. [Copyright &y& Elsevier]

This paper presents a method for estimating the loss-of-load probability (LLP) of a photovoltaic water pumping system. The study has been carried out for a constant profile, using a tank with a two day autonomy capacity and two pumping heads applied to a centrifugal pump. The method developed in this paper gives a simple tool for LLP calculation. The procedure can also be used to draw LLP maps with normalised parameters using long term observed or generated sequences of meteorological data. This technique gives a generalised and practical graphical tool for systems sizing. Some examples from Algeria are used. But the method can be applied to any geographical area. [Copyright &y& Elsevier]