An innovative optimization algorithm for précis estimation of the optical efficiency of heliostat fields

Abstract

Shading and blocking are one of the main causes that result in the drop of the optical performance of the heliostat fields. In this paper, we suggest through the simulation, an accurate and fast framework to enhance the optical performance of the solar field with the existence of the shading and blocking. By practicing the new style, running down the implementation time and keeping off unnecessary computations, our framework increases the speed of the computations through parallel computing architectures, then using the Artificial Neural Network (ANN) to investigate the efficiency of our proposed system. The results indicate the matching with the previous studies and satisfy the correspondence gain.The results also indicate the optimization of heliostat field layout for 2650 Sener heliostat, which considered as a reference in this work, by using the scarce open literature data on GEMASOLAR (Seville-Spain).Annual efficiency to transform sun’s energy to thereceiver has been chosen as the target work. Each mirror position specified using an optimization algorithm, by utilizing the layouts of the MIT team model while two parameters of this model settle down the layout outline of the reflectors.