An accurate and cheaper method of estimating shading and blocking losses in a heliostat field through efficient filtering, removal of double counting and parallel plane assumption

Raj, Manish; Bhattacharya, Jishnu

doi:10.1016/j.solener.2022.08.020

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…The alternating direction method [35] split the solar-weighted optical efficiency into two components: shading and blocking efficiency, non-shading and non-blocking efficiency. It then To circumvent the high computational cost of ray tracing, Raj and Bhattacharya [37] designed a dual-filtering algorithm. This algorithm checks each grid from the edge to the center in a sequential manner, obtaining an approximate solution with lower computational cost.…”

Section: B Heliostat Field Layout Optimization Methodologymentioning

confidence: 99%

Heliostat Field Layout via Niching and Elite Competition Swarm Optimization

Zou,

Zhou,

2024

IEEE Access

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Confronted with the challenges posed by climate change and the ongoing energy transition, solar energy is one of the important new energy sources, and the tower solar power plant has become an innovative solution to promote clean energy development. The optimization of heliostat field layout constitutes a crucial aspect in enhancing the operational efficiency of a concentrated solar power tower plant. Currently, the optimization of heliostat field layout has garnered widespread attention. In this paper, we propose the swarm optimization algorithm with niching and elite competition called NECSO to solve the large-scale heliostat field layout optimization. First, aiming to increase diversity and heterogeneity within the population, we employ a random grouping strategy to partition the population into distinct sub-swarms. Then, we design a niching and elite competition mechanism to harmonize the performance of the exploration. The niching competition is carried out within any sub-swarm to enhance the explorability of particles. The elite competition occurs between the elites which select from each sub-swarm to improve the convergence of particles. Additionally, we develop a mathematical model for the optimization of heliostat field layout. This model employs currently advanced computational methods, facilitating prompt and precise calculation of the optical efficiency in the heliostat field layout. To evaluate the performance of NECSO, we design 15 practical cases of heliostat field layout with varying scales. And then, we conduct comparative experiments with eight currently mainstream and excellent algorithms. The results indicate that NECSO exhibits competitive performance in solving the heliostat field layout optimization, particularly in large-scale cases.

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Section: B Heliostat Field Layout Optimization Methodologymentioning

confidence: 99%

Heliostat Field Layout via Niching and Elite Competition Swarm Optimization

Zou,

Zhou,

2024

IEEE Access

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“…Other authors, such as Raj and Bhattacharya [31], Belaid et al [32], and Zhang et al [33], remove hypothesis (iv) and consider instead the orientations of the heliostats with hypotheses (i) to (iii), increasing their accuracy. However, like the methods using hypothesis (iv), they consider all rays reflected as parallel to the specular reflection of the solar vector at its center, which can lead to inaccuracies.…”

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confidence: 99%

Global Methods for Calculating Shading and Blocking Efficiency in Central Receiver Systems

Ortega,

Barbero,

Rovira

2024

Energies

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This paper presents three new methods for calculating the shading and blocking efficiency in Central Receiver Systems (CRSs). All of them are characterized by the calculation of multiple useful and total reflecting areas without the need to resort to parallel calculation in the CPU or GPU, and by low computation times and minimum errors. They are being specially designed for implementation in codes focused on heliostat field design and optimization in CRSs. The proposed methods have been compared against two outstanding “individual” methods (homology and Boolean operations), in addition to a reference case based on the Monte Carlo ray-tracing (MCRT) technique. The results indicate that one of the proposed methods presents reduced error values and high computational speed, even relaxing the restrictions on candidate filtering. At the same error level, the global method is up to 7.80 times faster than the fastest individual method (homology) and up to 194 times faster than the method based on the MCRT technique. The causes of the main errors of each method are also analyzed.

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Precise and fast spillage estimation for a central receiver tower based solar plant

Raj,

Bhattacharya

2023

Solar Energy

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An accurate and cheaper method of estimating shading and blocking losses in a heliostat field through efficient filtering, removal of double counting and parallel plane assumption

Cited by 5 publications

References 27 publications

Heliostat Field Layout via Niching and Elite Competition Swarm Optimization

Heliostat Field Layout via Niching and Elite Competition Swarm Optimization

Global Methods for Calculating Shading and Blocking Efficiency in Central Receiver Systems

Precise and fast spillage estimation for a central receiver tower based solar plant

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