Academic Journal of Engineering and Technology Science, 2024, 7(4); doi: 10.25236/AJETS.2024.070404.
Zhengfang Yu, Zihang Wu, Chaoyi Hu
College of Intelligent Engineering, Hubei Enshi College, Enshi, 445000, China
At present, the efficiency of power generation by a solar field with a radiation tower is not as good as that of a butterfly-shaped solar field. This paper aims to improve the conversion efficiency of solar thermal power generation by a radiation tower solar field. To this end, this paper proposes to use genetic algorithms and BFS to optimise the layout of the heliostat field, thereby improving the optical efficiency of solar thermal power generation by a radiation tower. The experimental results show that this method can effectively improve the average optical efficiency. This study provides a valuable reference for the design of solar thermal power generation systems.
Genetic algorithm, optical efficiency, solar thermal power generation, breadth-first search
Zhengfang Yu, Zihang Wu, Chaoyi Hu. Optimisation of heliostat layout based on BFS and genetic algorithm. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 4: 17-24. https://doi.org/10.25236/AJETS.2024.070404.
[1] Gao Xiaopeng. Research progress of tower-type solar thermal power stations. SD 2019, 09 (04), 589-595.
[2] Liang Xiufan. Dynamic modelling and advanced control strategy research of trough-type solar power generation system. PhD thesis, Southeast University, 2020.
[3] Forrest, S. Genetic Algorithms. ACM Comput. Surv. 1996, 28 (1), 77–80.
[4] Wen, H, Zhang, W. Improving Parallelism of Breadth First Search (BFS) Algorithm for Accelerated Performance on GPUs. In 2019 IEEE High Performance Extreme Computing Conference (HPEC); IEEE: Waltham, MA, USA, 2019; pp 1–7.
[5] Hu Peng, Shi Ying, Jiang Ying, Ma Yuchao, and Liu Jun. A tower-type solar thermal power generation tracking analysis system, 2017.
[6] Zhang Ping, Xi Zhengwen; Hua Wenhan; Wang Juanjuan; Sun Dengke. Calculation method for optical efficiency of solar tower heliostat field. Technology and Market 2021, 28 (6), 4.
[7] Fang Miao-sen, Lu Jing, Jiang Yi-wen. Modeling of energy transmission efficiency and design of mirror field layout for heliostats. Solar Energy, 42(1):5, 2021.
[8] Collado, F. J.; Guallar, J. Campo: Generation of Regular Heliostat Fields. Renewable Energy 2012, 46, 49–59.
[9] Yang Zhenqiang, Wang Changhong, Zhuang Xianyi. ADAPTIVE PROBABILITIES OF SELECTION, CROSSOVER AND MUTATION IN GENETIC ALGORITHMS[J]. Journal of Electronics & Information Technology, 2000, 22(1): 112-117.
[10] Ajwani, D.; Dementiev, R.; Meyer, U. Breadth First Search on Massive Graphs. Research Repository, University College Dublin, 2009.