A new sizing method based on a numerical approach using the average meteorological data and the load demand of the Ngoundiane site along with both concepts of ALPSP and TLCC is treated in this study. The intuitive method, has been first applied to delimit the PV capacity range. Thereafter, the incoming new approach that we propose, consists in elaborating a simple algorithm based on a numerical determinist sizing approach by adapting the available average data to the mathematical equations used in numerical approach. The results show that for a same value of the total capacity of PV array, estimated to 177.5 kW p , the proposed numerical sizing method decreases the storage system capacity to 75% and the TLCC to 65% compared to the intuitive method.

We study a sizing method using Artificial Intelligence Techniques (AI) to find the optimal sizes of a standalone photovoltaic system in Ngoundiane, Senegal. The sizing of the PV system is considered here as a mono-objective problem and the Total Life Cycle Cost (TLCC) is the « Objective » function to minimize. Based on some constraints and after 10 simulations, the optimisation gives, as a result, an optimal value of TLCC corresponding to the combination of 225750 WC/8100 Ah. This result show that the method using Genetic Algorithm (GA) increases considerably the photovoltaic capacity compared to the intuitive and numerical methods used in our previous works. The GA method better covers the load demand, with more long time, when compared with those obtained with numerical method. These results confirm that this method is effective and reliable because it allows the design of a PV system that satisfies the load demand of the Ngoundiane site with a lower cost.

This work is about an appropriate choice of a renewable energy source between a wind turbine and a solar power plant. The selected renewable energy source should supply electricity to a site, part of the University Alioune Diop of Bambey, in Ngoundiane, Thies region. The work is based on analysis of meteorological parameters (wind speed, ambient temperature, solar irradiation). According to this study, the use of solar energy to produce electricity in the site of Ngoundiane is very promising. Focusing on a resource is very abundant in Senegal and is easier characterized than wind resources. Moreover, photovoltaic technology is very well mastered.

Our objective is to solve problems of water supply in the village of Koyli Alpha, in Senegal. Theirs boreholes are supplied by diesel fuels causing environmental drawbacks and the populations don’t satisfy their water demand. In order to bring a positive response, we used solar energy to give back the borehole’s autonomous and proposed intuitive and numerical methods applying on solar water pumping for finding the best method. A previous study used intuitive methods for determining the size of various components. In order to optimize the energy production, we propose two numerical sizing approaches in order to have an optimal operation. Then, we developed two solar cell temperature models in the numerical sizing method and did a simulation of system operating in MATLAB software. The first model of solar cell temperature depends only on the ambient temperature and the second one combines wind speed and ambient temperature. The results of simulation showed that among these numerical sizing methods, we choose the second solar cell temperature expression, which gives the best performance. The numerical sizing method which uses the second solar cell temperature model yields to the reduction of battery’s size and the total life cycle cost found in the intuitive method, by 54% and 32%, respectively.

No abstract