Dataset on the power dissipated by rolling resistance of a prototype photovoltaic electric vehicle while varying the mass.

The examined vehicle is an electric generator fuelled by a photovoltaic source. A portion of this energy is allocated for mobility at a top speed of 35.7 km/h, covering a distance of 70 km and the mass of this electrical vehicle is 300 kg. Another portion is collected and transformed into electricity for domestic use. For propulsion, electric motors with 3000 W nominal power and a voltage of 48 V are situated in the rear wheels. Part of this power is lost due to the resistance like the air resistance, the rolling resistance and the resistance due to the slope. All the resistances must be overcome during travel, with the majority of this resistance attributed to rolling resistance. These data can be used to quantify the power dissipated by the rolling resistance of the generator, which is an electric vehicle. A first experiment was conducted using an electric vehicle protocol to gather data, which allowed for recording of various speeds and corresponding starting powers. The gathered data was then used to determine the rolling resistance value by employing a resolution method that considers factors such as tyre inflation pressure, speed, and vehicle mass. This method involves calculating a coefficient known as the traction coefficient, which arises from the tyre's local deformation under wheel load. The power dissipated by rolling resistance can be determined from this data. Using MATLAB, we can visualise the variations in power dissipated by the rolling resistance from the data. The vehicle is travelling on a surface made of asphalt concrete. This study shows the behaviour of electric vehicles and will help to determine their performance under driving conditions, taking into account rolling resistance, mass and speed.

Modeling and optimization method of an indirectly irradiated solar receiver.

This work presents the modeling and optimization of an indirectly irradiated solar receiver. A numerical model of the cavity-absorber block is put forward with the coupling of the net-radiation method using infinitesimal areas and a CFD code. An iterative method with a relaxation factor made it possible to obtain the temperature distribution and the developed code was implemented in the form of UDF and used as boundary conditions in the CFD model of the absorber to simulate the flow of air and heat transfer. The good ability of the receiver to transfer heat to the fluid is proved with a 92% thermal efficiency obtained. Then the combination of the Kriging surface response method and the MOGA allowed the mathematical optimization of the receiver. The multi-objective optimization made it possible to obtain 3 candidates giving the best combinations of design parameters from the fixed objectives. Three bullet points, highlighting the customization of the procedure. •A practical analysis using the net-radiation method using infinitesimal areas is applied for cavity radiative exchange model.•The code developed for the cavity is implemented in the boundary conditions at the level of the ANSYS Fluent CFD model allowing the simulation of the conjugated transfers within the absorber.•The optimization method proposed is the combination of the Kriging surface response method for quantitative and qualitative analysis of the design parameters and MOGA to obtain different combinations seeking to maximize or to minimize the chosen parameters.