The alternative sources of energy have significantly improved quality and are more prevalent in recent years. Solar panels as one of these energy sources continue to be chosen for commercial and private usage. One of the more complex decisions is to choose components to installed in the solar system. All of the public available solar panels have eight important characteristics related to electricity efficiency and dimensions. However, there are many possible alternatives, so it is hard to say which one will be the most proper choice. MCDA methods can make this complex decision problem.This work presents an assessment of solar panels obtained by two popular MCDA methods, i.e., the COMET and TOPSIS techniques. Both methods are distance-based MCDA methods which are using characteristic points idea. However, the COMET method is the rank reversal phenomenon free method and return more accurate results. Next, we present a comparison to find the most rational solar panel from the defined set of alternatives considered their criteria. For this purpose, the weights vector is determined by using three methods. Therefore, results are determined based not only on the used MCDA method but also on the applied weights of the criteria.