Multi-objective optimization of the solar absorptivity distribution inside a cavity solar receiver for solar power towers

Multi-objective optimization of the solar absorptivity distribution inside a cavity solar receiver for solar power towers
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太阳能塔腔体太阳能接收器内太阳能吸收率分布的多目标优化

DOI:
10.1016/j.solener.2017.09.044
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发表时间:
2017-12
期刊:
影响因子:
6.7
通讯作者:
Tao Wen-Quan
Tao Wen-Quan
中科院分区:
工程技术2区
文献类型:
--
作者:
Wang Kun;He Ya-Ling;Li Pei-Wen;Li Ming-Jia;Tao Wen-Quan

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太阳能发电塔接收器上的太阳通量分布通常不均匀,这会给能源效率和系统安全带来许多问题,特别是局部热点,从而引起热应力和热变形。因此,太阳通量分布的均匀化至关重要。本研究的目的是通过优化太阳能吸收涂层的分布,使太阳通量分布均匀,同时保持光学损耗(反射损耗)尽可能低。采用蒙特卡洛射线追迹法和格布哈特法耦合的综合方法来模拟太阳能发电系统中太阳辐射传输的过程。利用非支配排序遗传算法对太阳能吸收率分布进行多目标优化。研究得出以下结论。 (1)太阳光通量分布均匀性的提高,会导致更多的太阳能分布在孔径视角较大的位置,从而导致更多的反射损耗; (2)多目标优化得到的Pareto最优前沿提供了太阳通量分布的不均匀性和反射损耗之间的权衡。 (3)帕累托最优前沿提供的最佳太阳吸收率分布可以以最小的光损耗成本显着平坦化太阳通量分布。 (4) 太阳吸收率的最佳分布与从定日镜场投射到活动表面上的太阳通量的分布大致相反。
The solar flux distribution on the receiver of a solar power tower is usually not uniform, which can cause a number of problems for the energy efficiency and system safety, particularly, the local hot spot and the thereby caused thermal stress and thermal deformation. Therefore, homogenization of the solar flux distribution is critical and important. The objective of the present study is to homogenize the solar flux distribution while keeping the optical loss (reflection loss) as low as possible through optimization of the distribution of the solar absorptive coating. An integrated approach coupling the Monte-Carlo ray tracing method and the Gebhart method is applied to simulate the process of the solar radiation transfer in the solar power system. The multi-objective optimization of the distribution of solar absorptivity is performed by using the non-dominated sorting genetic algorithm. The following conclusions are drawn from the study. (1) The improvement of the uniformity of the distribution of solar flux can lead to more reflection loss due to the fact that more solar energy is distributed on the position with greater view factor to the aperture; (2) The Pareto optimal front obtained from the multi-objective optimization provides the trade-off between the non-uniformity of the solar flux distribution and the reflection loss. (3) The optimal solar absorptivity distribution provided by the Pareto optimal front can significantly flatten the solar flux distribution at a minimum cost of optical loss. (4) The optimal distribution of the solar absorptivity is approximately opposite to the distribution of solar flux projected onto the active surfaces from the heliostat fields.
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