Abstract
A new optimization method was proposed to design a high-performance deformable petals for a concentrated solar power. The flower sheet was divided into individual sectors, each of which was developed separately to compensate for the order and flexibility of the patterns. A suitable high-dimensional optimization algorithm was identified from 129 different algorithms using multi-algorithm filtering. In order to examine the proposed method, four flower field layouts (only Campo, only spiral and their north-south combinations) were tested on Gemasolar 20MW and Haixi 50 MW fields. Two annual strategies for optical efficiency optimization strategies were used: maximizing the entire field (strategy 1) and maximizing the screening area with high efficiency (strategy 2). For two Heliostat fields improved strategy 2 annual efficiency by ~ 0.9 % compared to strategy 1, regardless of layouts, the importance of the goal-oriented optimization strategy is emphasized. Compared to original Gemasholar 20 MW field, four layouts developed by Strategy 2 achieved a relative annual efficiency increase of over 6 %, whereby Campo layout determined the highest efficiency of 60.55 %. Compared to the original Haixi-50 MW field, strategy 2 achieved a relative increase of over 9 % and a maximum of 60.25 % with the Campo layout. It is important that the optimized efficiency of different expenditure was almost identical regardless of layouts, which indicates a potential efficiency limit under the same conditions. This method effectively optimizes petals and offers valuable insights for the heliostat field design and high-dimensional engineering optimization.
Xin-Yuan Tang, Wei-Zwei Yang, Jia -chen Li, Lan-Xin Liang, Yi-Wan Lin, Yaling He,
A new strategy for the optimal construction of Heliostat Field for a deformable flower leaf hybrid layout of concentrated solar power through multi-algorithm filtering, renewable energies, volume 243, 2025.122612, ISSN 0960-1481, https://doi.org/10.1016/J.renene.2025.122612.