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New approach to determine the performances of the photovoltaic pumping system

A. Hamidat1, B. Benyoucef2 and M.T. Boukadoum1

1 Centre de Développement des Energies Renouvelables, B.P. 62, Route de l’Observatoire, Bouzaréah, Alger, Algérie 2 Unité de Recherche Matériaux et Energies Renouvelables, Université Abou Bekr Belkaïd, B.P. 119, Tlemcen, Algérie

Abstract - In this paper, we proposed a mathematical model which directly links the operating electric power to the pump's output water flow rate. This model is based on the analysis of the experimental results carried out in the pumping test facility of Centre for Development of Renewable Energies, CDER. The tested pumping system uses a submersible motor-pump and an electronic controller DC/DC. The nominal power of the DC motor is 400 W and the hydraulic system is a positive displacement pump. The pumping performances are determined versus the water consumption profile, the tank capacity, the total head and the peak power of the photovoltaic array.

The parameters used are the relative hourly deficiency, the photovoltaic energy losses and water volume pumped by the system. The results are carried out using the meteorological data of four Algerian localities: Algiers and Oran in the north, Bechar and Tamanrasset in the south.

1. INTRODUCTION

Photovoltaic pumping system (PVPS) remains one of the most popular solar energy applications in developing countries. The most of the PVPS installations are intended to supply drinking water to the population living in the arid and remote regions. For the great part of these regions, the photovoltaic (PV) energy is very suitable to use because of the solar radiation availability and the non CO2 emission [1] and low maintenance costs.

Generally, PVPS consists of a PV array, a pumping subsystem. The principal component of the PV module is the PV solar cells which convert instantaneously the solar radiation received on the surface of the PV cells into electric energy. The pumping subsystem is composed with a motor-pump set and a power conditioning equipment. The storage of water in tanks is the solution most adopted in the majority of the PV pumping applications. Nevertheless, in some cases, there are storage batteries for some PV pumping applications for diurnal uses and during cloudy days.

This paper presents a new approach to determine the performances of the PV pumping subsystems intended for drinking water supply. The tested pumping subsystem consists of a submersible motor-pump and an electronic controller DC/DC. The motor is a DC engine of a 400 W of nominal power and the hydraulic is a positive displacement pump (DP). The results are carried out using the meteorological data of the following Algerian localities: Algiers, Béchar, Oran and Tamanrasset.

2. PV ARRAY MODEL

The mathematical models of the PV modules take into account the influence of the daily variation of the global irradiance and the junction temperature. In the literature, there are several mathematical models which describe the I−V characteristic. Example, we can quote Buresh [2], Chan et al. [3], Keating et al. [4] and Gow et al. [5]. The difference between these models is the procedure of the calculation, the intervening parameters number to compute the I−V characteristic and of course the results accuracy. The model used in this study is an analytical model that has given a very good accuracy [6]. The I−V characteristic of the PV module is written as follows:

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sh t

0 s

L R

1 V V A

R . I exp V I I

I −





 −



 +

= (1)

with

q T .

Vt = k j (2)

where q is the electron charge, k is the constant of Boltzmann, A is the quality factor related to the module, T is the junction temperature, j Rsseries resistance and Rshis the shunt resistance.

3. PUMPING SUBSYSTEMS MODEL

The mathematical models of the inverter and the motor-pump set are described in a large number of research papers. Thus, we can quote Langridge et al. [7], Suehrcke et al. [8], Singh et al. [9] and Jafar [10]. These models do not give a direct relationship between the operating electrical power of the pumping subsystem and the water flow rate of the pump. So in this paper, we proposed a mathematical model which directly links the output water flow rate, Q versus the input operating electric power, Pa and total head, h . This model is based on the analysis of the experimental results of the different types of pumping subsystems. In the pumping test facility of the Centre for the Development of Renewable Energies, CDER (Algeria), we are carried out the measurements of the electrical and hydraulic parameters of several pumping subsystems [11, 12].

The relation of this model is given as follows:

) h ( d Q ) h ( c Q ) h ( b Q ) h ( a ) h , Q (

P = 3+ 2+ + (3)

3 3 2 2 1 1

0 a h a h a h

a ) h (

a = + + + (4)

3 3 2 2 1 1

0 b h b h b h

b ) h (

b = + + + (5)

3 3 2 2 1 1

0 c h c h c h

c ) h (

c = + + + (6)

3 3 2 2 1 1

0 d h d h d h

d ) h (

d = + + + (7)

where ai, bi, ciand di are the secondary parameters of the models and depend only on the pumping subsystem type. Tables 1 and 2 show the secondary parameter values of the principal parameters of the tested pumping subsystem. The high values of R2 and the good adjustment between the calculated and the measurements curves of the tested DP pump (Fig. 1 and 2) enable us to validate the models of a(h), b(h), c(h) and d(h) parameters. The Fig. 3 shows the good adjustment between the measured and calculated values of electrical power versus flow rate of the tested DP pumping subsystems.

Table 1: Parameter values of the pumping subsystem model of a(h) and b(h)

Parameters of a(h) Values Parameters of b(h) Values

a0 137.3400 b0 -135.7400

a1 -11.7080 b1 16.7230

a2 0.3874 b2 -0.5354

a3 -0.0039 b3 0.0053

R2 0.98 R2 >0.99

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Table 2: Parameter values of the pumping subsystem model of c(h) and d(h)

Parameters of c(h) Values Parameters of d(h) Values

c0 63.1100 d0 11.3900

c1 -5.3627 d1 1.6328

c2 0.2405 d2 -0.0139

c3 -0.0023 d3 0.0004

R2 0.97 R2 >0.99

4. PUMPING SYSTEM PERFORMANCES

The performances of the PV pumping are determined versus water consumption profiles, the tank capacity, the total head and the PV array configurations. Indeed, three peak powers of the PV array configurations are proposed in this study. The value of the first one is 250 Wp (5 s x 1 p).

The value of the second is 300 Wp (6 s x 1 p) and the third one is equal to 350 Wp (7 s x 1 p). The parameters of performances are the relative hourly deficiency, the photovoltaic energy losses and the water volume pumped by the system.

4.1 Water consumption profile

The influence of the water consumption profiles on the PV pumping performances is determined. Three consumption profiles of drinking water are proposed to the semi-urban peoples. The daily water consumption is estimated as fixed for the three proposed profiles. The first profile (profile1) considers the hourly water consumption as fixed during the 24 hours of the day. Concerning the second profile (profile2), it considers the water consumption as fixed between 6 and 21 hours but hopeless outside of this time-slot. The time-slot of the third profile (profile3) is narrower; the consumption is possible only between 8 and 16 hours. The influence of the consumption profiles is obtained with the variation of the total head, the tank capacity which depends of the day number of independence and finally, the peak power of the PV array configuration. The daily consummation is estimated 3 m3. So, the tank capacity takes the values of 3, 6 and 9 m3 respectively to 1, 2 and 3 days of independence.

Fig. 1: Calculated and measured values of the secondary parameters a(h) and b(h) The relative hourly deficit of the water is a parameter that can characterize the influence of the water consumption profiles on the performances of the pumping systems. This parameter illustrates perfectly the behavior of the PV pumping systems during a functioning phase. The relative deficit is defined as the ratio between hourly deficit and the number of functioning hours.

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Fig. 2: Calculated and measured values of the secondary parameters c(h) and d(h) Among a great deal of results obtained by the combination of the three consumption profiles, we have presented the results of Oran location. For each number of autonomy days and PV array configuration, the relative deficits of the tested DP pump are plotted versus consumption profiles and total heads (Fig. 4, 5 and 6). These results show that the consummation profiles have a few influences on the relative deficit of the PV pumping system. Because, we have a tank capacity of storage equal at least one day of autonomy. Nevertheless, for a high heads, superior to 20 m, the relative deficit of the profile3 is superior in comparison with the profile1 and profile2. This difference of deficit is about 10 %.

Fig. 3: Measured and calculated electrical power versus flow rate and total head

Fig. 4: Relative deficit versus total head and

profiles configurations of one day of autonomy Fig. 5: Relative deficit versus total head and profiles configurations of 2 days of autonomy

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Fig. 6: Relative deficit versus total head and profiles configurations of 3 days of autonomy

Fig. 7: Relative deficit versus total head and number of autonomy days 4.2 Tank capacity

The variation of the tank capacity has been carried out in order to correspond to the number of water autonomy days of the users. Figure 7 shows the influence of the tank capacity (autonomy days) on the relative deficit versus the total head. Thus and for a given total head, the curves show that the number of the autonomy days has a few influences on the relative deficit of the pumping system. Nevertheless, we have noted that the values of the relative deficit vary in inverse proportion to the number of the autonomy days.

4.3 The total head

The total head is a dominating parameter on the relative deficit of the PV pumping system.

The relative energy losses and the volume of the pumped water by the PV pumping system are calculated versus total head and PV array configurations. The relative energy losses are defined as the ratio between the energy losses and the energy produced by the PV pumping system. The results show that the energy losses are proportional to the total head (Fig. 8). But, the volume of the pumped water is in inverse proportion to the total head (Fig. 9).

Fig. 8: Relative energy losses versus total head

and PV array configurations Fig. 9: Daily water volume versus total head and PV array configurations 4.4 Geographic location influences

Four Algerian sites with different climate were chosen for this study, Algiers and Oran located in the North. Bechar and Tamanrasset located in the South. The influence of the geographic situation on the performances of the PV pumping, we have calculated the characteristic parameters of the system such as: the energy losses and the volume of pumped water according to the total head and the PV array configurations. The results show that there is a clear difference between performances obtained for Tamanrasset and Bechar sites and those

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obtained for Algiers and Oran locations. The energy losses in the two south locations are inferior to 10 %. On the other hand, the energy losses in the two north locations are very high (Fig. 10).

Concerning the pumped water volume, the southern locations offer better results in comparison with those of North. Figure 11 shows that the volume of pumped water in Tamanrasset and Bechar are three times higher in comparison with the quantity of water pumped in Algiers and Oran.

Fig. 10: Relative energy losses of the pumping subsystem versus total head

Fig. 11: Daily water volume of the pumping subsystem versus total head 6. CONCLUSIONS

This article describes the performances of the PV pumping for drinking water supply. The components of the PV pumping system are modeled and validated by experimentations. The validation of the pumping subsystem model was performed by experimentations in pumping test facilities. Therefore, we can conclude that the proposed consummation profiles have a few influences on the relative deficit. But for a high heads, superior to 20 meters, the relative deficit of the profile3 is superior to the other profiles. The relative deficit varies in inverse proportion to the number of the autonomy days. The energy losses values of the PV water pumping system are proportional to the total head. The volume of the pumped water is in inverse proportion to the total head. The geographic location has an important influence on the pumping performances.

Thus, there is a clear difference between the southern (Bechar and Tamanrasset) and northern (Algiers and Oran) localities. For the southern localities, the energy losses are inferior to 10% and the volume of pumped water is three time higher to the northern localities.

REFERENCES

[1] R. Battisti and A. Corrado, ‘Evaluation of Technical Improvements of Photovoltaic Systems through Life Cycle Assessment Methodology’, Energy, Vol. 3, pp. 952 - 967, 2005.

[2] M. Buresh, ‘Photovoltaic Energy Systems’, Mc Graw-Hill Book Company, New-York, 1983.

[3] D.S.H. Chan, J.R. Philips and J.C.H. Phang, ‘A Comparative Study of Extraction Methods for Solar Cell Model Parameters’, Solid State Electronics, Vol. 29, pp. 329 - 337, 1986.

[4] L. Keating, D. Mayer, S. McCarthy and G.T. Wrixon, ‘Concerted Action on Computer Modeling and Simulation’, Proc. of the 10th European PV Sol. Energy Conf., Lisbon, Portugal, pp. 1259 - 1265, 1991.

[5] J.A. Gow and C.D. Manning, ‘Development of a Photovoltaic Array Model for Use in Power-Electronics Simulation Studies’, Electric Power Applications, IEE Proceedings, Vol. 146, pp. 193 - 200, 1999.

[6] A. Hamidat, ‘Simulation of the Performance and Cost Calculations of the Surface Pump’, Renewable Energy, Vol. 18, pp. 383 - 392, 1999.

[7] D. Langridge, W. Lawrance and B. Wichert. ‘Development of a Photovoltaic Pumping System Using a Brushless DC Motor and Helical Rotor Pump’, Solar Energy, Vol. 56, pp. 151 - 160, 1996.

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[8] H. Suehrcke, J. Appelbaum and B. Reshef, ‘Modeling a Permanent Magnet DC Motor/ Centrifugal Pump Assembly in a Photovoltaic Energy System’, Solar Energy, Vol. 59, pp. 37 - 42, 1997.

[9] B. Singh, CLP. Swamy and B.P. Singh, ‘Analysis and Development of a Low-Cost Permanent Magnet Brushless DC Motor Drive for PV-Array Fed Water Pumping System’, Sol. Energy Mat. & Sol. Cells, Vol.

51, pp. 5 - 67, 1998.

[10] M. Jafar, ‘A Model for Small-Scale Photovoltaic Solar Water Pumping’, Renewable Energy, Vol. 19, pp.

85 - 90, 2000.

[11] A. Hamidat, ‘Simulation of the Photovoltaic Pumping Systems Destined to Supply Drinking Water and Small-Scale Irrigation’, Doctorate Thesis, Faculty of Sciences, University of Tlemcen, Algeria, 2004.

[12] A. Hamidat, B. Benyoucef and T. Hartani, ‘Small-Scale Irrigation with Photovoltaic Water Pumping System in Sahara Regions’, Renewable Energy, Vol. 28, pp. 1081 - 1096, 2003.

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