Estimation of Tilted Solar Irradiation Using Artificial Neural Networks

AbstractCalculation of solar global irradiation on tilted planes from only horizontal global one is particularly difficult when the time step is small. We used an Artificial Neural Network (ANN) to realize this conversion at an hourly and 10- min time step. The ANN is developed and optimized using five years of solar data. The accuracy is respectively for hourly and 10-min data of 6% and 9% for the RMSE and 3.5% and 5.5% for the RMAE i.e. similar or slightly lower than the errors obtained with conventional empirical correlations for hourly data

Etude et optimisation des systèmes de pompage photovoltaïque

85 p. : ill. ; 30 cmA photovoltaic (PV) pumping system in which the motor-pump is directly coupled to the PV generator without a matching device is potentially simple and inexpensive and usually reliable. The typical problem of this system is that perfect matching between the PV generator and the motor-pump system is nearly impossible. With the increased use of these systems, more intention is paid to their design and optimum utilisation in order to achieve the most reliable and economical operation. Because of the relatively high cost of a PV generator, the system designer is mainly interested in its full utilisation by optimum matching of the systems components. In order to improve the performance of a PV pumping system two options are generally available to the system designer; (1) Careful selection of the dc motor and pump such that they match the maximum power trajectory of the PV generator as closely as possible and (2) Use a DC-DC converter known as Maximum Power Point Tracker (MPPT). This study addresses the matching and optimisation of the PV pumping system in terms getting the maximum utilisable output electrical, mechanical and hydraulic energy. First, the optimum matching study has focused on the ration between the intake electrical energy of the motor and the available maximum power of the PV generator under different conditions. Therefore, an efficient matching technique is presented to express the field current of the dc motor in terms of maximum power point current of the PV generator. By this means the best match is obtained between PV generator and dc motor, and maximum daily gross mechanical energy is extracted from the PV generator. Second, this matching analysis has extended to the generated motor mechanical energy with respect to the available maximum power of the PV generator. Then, a design procedure to achieve maximum daily output mechanical energy is presented. However, since the ultimate objective of the pumping system is to pump water. Therefore, this matching analysis should be extended to the delivered hydraulic energy with respect to the maximum power of the PV generator. In this analysis two optimisation procedures to match a PV water pump for its optimum hydraulic efficiency have been presente

Technical and Economic Assessment of Wind Farm Power Generation at Adrar in Southern Algeria.

International audienceA potential and economic analysis of a 10 MW wind farm at Adrar in the southern region of Algeria is realized for various WT types. Adrar has a good wind potential: and the most adapted wind turbine is the Vestas V90/2MW with a annual energy output equal to 40902 MWh. According to the studied machine, the capacity factor varies from 36% for Nordex N80/2500 and 47% for Vestas V90/2MW with respectively a cost per kWh of electricity generated of 0.0525 $/kWh and 0.0408$/kWh. According to our results, the wind resource appears to be suitable for power production in the site of Adrar, which makes it a viable substitute to diesel oil for electricity generation

Evaluation of electricity generation and energy cost of wind energy conversion systems in southern Algeria

International audienc

Available solar energy for flat-plate solar collectors mounted on a fixed or tracking structure

International audienc

Energie solaire globale incidente sur des plans fixes et avec suivi du Soleil

International audienc

Feasibility study of hybridation of mini diesel power stations with photovoltaic energy systems

International audienc

Hybrid Photovoltaic/Wind Energy Systems For Remote Locations

International audienc

Feasibility study and energy conversion analysis of stand-alone hybrid renewable energy system

There is a great interest in the development of renewable power technologies in Algeria, and more particularly hybrid concept. The present paper has investigated the performance of hybrid PV–Wind–Diesel–Battery configuration based on hourly measurements of Adrar climate (southern Algeria). Data of global solar radiation, ambient temperature and wind speed for a period of one year have been used. Firstly, the proposed hybrid system has been optimized by means of HOMER software. The optimization process has been carried out taking into account renewable resources potential and energy demand; while maximizing renewable electricity use and fuel saving are the purpose. In the second step, a mathematical model has been developed to ensure efficient energy management on the basis of various operation strategies. The analysis has shown that renewable energy system (PV–Wind) is able to supply about 70% of the demand. Wind power has ranked first with 43% of the annual total electricity production followed by diesel generator (with 31%) while the remaining fraction is being to PV panels. In this context, 69% of the fossil fuel can be saved when using the proposed hybrid configuration instead of the diesel generators that are currently installed in most remote regions in Algeria. Such a concept is very promising to meet the focus of renewable energy program announced in 201