Presentation + Paper
20 August 2020 Computational method for optimizing segmented nonimaging concentrators
Christine Hoffman, Boaz Ilan
Author Affiliations +
Abstract
We propose a computational optimization method for designing segmented nonimaging concentrators with planar or tubular absorbers. Concentrators are represented as concatenated linear segments, forming a faceted reflector. Ray tracing is then employed to compute the optical concentration ratio equivalent for a given concentrator configuration. The user may chose to systematically optimize the locations of the concentrator vertices or the interior angles between adjacent segments. Since gradient-based solvers become easily trapped in local minima for this problem, generalized pattern search is used to obtain optimized concentrator configurations. For a small and fixed number of segments, we show that optimized segmented concentrators preform better than an equivalent number of uniformly spaced segments of the collocated ideal shape. We also show that concentrators with a lower number of segments are more robust to manufacturing errors.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christine Hoffman and Boaz Ilan "Computational method for optimizing segmented nonimaging concentrators", Proc. SPIE 11495, Nonimaging Optics: Efficient Design for Illumination and Solar Concentration XVII, 1149508 (20 August 2020); https://doi.org/10.1117/12.2570725
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KEYWORDS
Solar concentrators

Receivers

Manufacturing

Solar thermal energy

Reflectors

Compound parabolic concentrators

MATLAB

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