| Autor: |
Izygon, Michel, McMurtrie, Kenneth, Vu, Ngoc |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2018, Vol. 2033 Issue 1, p040018-1-040018-9, 9p |
| Abstrakt: |
We present a new solar field layout optimization method that combines the Particle Swarm Optimization (PSO) algorithm with the parallelization power of the Graphical Processing Units (GPU). This new approach enables central receiver system designers to obtain very quickly an optimized field layout that take accurately into account all the optical losses (cosine effect, shadowing, blocking, atmospheric attenuation, and spillage). This is achieved by using a very fast implementation of a ray-tracing engine to compute the fitness objective (the annual performance of the field) that leverage the power of the parallel architecture of the GPUs. Initial results of the software on a couple of case studies are presented. These results demonstrate that solar field efficiency improvement is attainable with the proposed technique. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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