Model construction and optical properties investigation for multi-sectioned compound parabolic concentrator with particle swarm optimization
Xin Hu,
Fei Chen and
Zhenhua Zhang
Renewable Energy, 2021, vol. 179, issue C, 379-394
Abstract:
Energy loss due to non-uniform distribution of energy flux density on the standard compound parabolic concentrator (S-CPC) absorber, and the high processing cost of S-CPC curved reflector make it difficult to popularize. Based on replacing the curved reflector of the S-CPC with plane reflector, a quick optical simulation optimization method using particle swarm optimization (PSO) in full incident angles was proposed to construct multi-sectioned compound parabolic concentrator (M-CPC) to alleviate these problems. M-CPC models with different number plane reflectors that were designed by the PSO program, and its reliability was verified in a flexible laser experiment. The conducted analysis focuses on a detailed investigation of optical properties in optimized models. Among them, the average day beam radiation collected by M-CPC3 in Kunming equinox month was 3.1681 MJ exceeding that of S-CPC at 3.1631 MJ. In particular, the uniformity U of the energy flux density distribution on the absorber evaluated by combination with the numerical and spatial location distribution indicated that M-CPCs are more uniform than S-CPC. Moreover, it was analyzed that M-CPC consisting of multi-sectioned plane glass reflector may be more economical than S-CPC regarding cost consumption.
Keywords: Solar energy; Compound parabolic concentrator; Model optimization; Particle swarm optimization; Optical property (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148121010429
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:179:y:2021:i:c:p:379-394
DOI: 10.1016/j.renene.2021.07.037
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().