Aiming strategy optimization for uniform solar flux distribution in the receiver of a linear Fresnel reflector using genetic algorithm
Résumé
Energy maldistribution and local high flux may lead to negative effects, including the fluctuating operation and failure of the receiver, in linear Fresnel reflectors. For reducing these effects, an aiming strategy optimization approach for homogenizing the flux distributions in the receivers is presented by combing Monte Carol ray tracing and Genetic Algorithm (GA). Based on the model, firstly, the flux distributions in both the Multi-Tube Cavity Receiver (MTCR) and the Single-Tube Receiver with a Secondary Collector (STRSC) are optimized at the typical condition. The optimization results indicate that the GA approach helps to reduce the energy maldistribution among the tubes in MTCR and homogenize the fluxes in both MTCR and STRSC significantly, where the energy maldistribution index of 3.1% in MTCR and the flux non-uniformity index of 13.5% in STRSC are achieved, and the corresponding peak fluxes are reduced by 59.3% and 46.4% compared to those of traditional one-line aiming strategy, respectively. Furthermore, parameter study indicates that proper values for the width of the aiming plane and the number of the aiming lines, which influence the flux distribution importantly, should be designed for reaching a compromise between the flux distribution and efficiency. Finally, application of the approach under a real-time condition indicates that satisfactory optimization results can be obtained in the whole range of the incident angle for the sun rays. It is concluded that the present GA approach is effective and suitable for optimizing the solar flux distributions in the receivers of LFRs.
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