Central receiver systems are considered one of the most efficient ways to harness solar
thermal energy. A significant component of these systems is a heliostat field which accounts …

Artificial Intelligence (AI) is increasingly playing a significant role in the design and
optimization of renewable energy systems. Many AI approaches and technologies are …

The heliostat field of tower solar thermal power station accounts for 40%–50% of the total
cost, and influences the concentrating efficiency. Accordingly, it is necessary to optimize the …

A comparative analysis has been carried out between eight metaheuristic algorithms,
namely; genetic algorithm (GA), differential evolution (DE), particle swarm optimization …

A mathematical model of the heliostat field and the PSO-GA algorithm are developed in
Matlab to optimize a heliostat field and determine the highest potential daily energy …

In this paper, the alternating direction method is proposed to perform heliostat field layout
optimization, which includes two new strategies:(1) pattern-free layout optimization using the …

In this study, the Iterative Artificial Bee Colony Algorithm (IABCA) methodology was
proposed to perform optimisation of a heliostat field for the Solar Power Tower (SPT) system …

The efficiency and safety of a solar central receiver system depend on the flux distribution
reflected by the heliostat field on its receiver. Thus, the field must be carefully controlled to …

This paper proposes a methodology to select a site for a heliostat field to further improve its
optical efficiency. Site selection implies to select a location with advantageous geographical …

The seals/gaskets are intended to maintain leak-tightness between the two connecting parts
instead of welding or soldering. It is advantageous for a repair or maintenance of a system or …