Surrogate-based aerodynamic optimization for enhancing the shelter effect of porous fences on a triangular prism. (1st January 2021)

• Record Type: Journal Article
• Authors: Qiu, Y.; San, B.; He, H.; Zhao, Y.
• Is Part Of: Atmospheric environment. Volume 244(2021)
• Publication Date: 2021-01-01
• Subjects: Aerodynamic optimization -- CFD modeling -- Porous fence -- Shelter effect -- Wind erosion; Air -- Pollution -- Periodicals; Air -- Pollution -- Meteorological aspects -- Periodicals; 551.51
• DOI: 10.1016/j.atmosenv.2020.117922
• Languages: English
• ISSNs: 1352-2310

Abstract

Abstract: To further improve the shelter effect of porous fences on the wind erosion of a triangular prism pile of coal, an aerodynamic optimization procedure has been developed, by coupling computational fluid dynamics (CFD) solver, kriging model and genetic algorithm. Two-dimensional Reynolds- Averaged Navier-Stokes equations with the RNG k - ε turbulence model were used for numerical simulation of the shelter behaviour. The single and multi-objectives were minimizing the sum of absolute mean pressure coefficients on the surface of the prism, and/or the total peak velocity ratio values around the prism. Two case studies focusing on the optimization design of a single front fence and dual fences were presented, in order to determine the optimal fence parameters (height and porosity). The weighted-sum method was utilized to solve multi-objective problems, which finds the Pareto-optimal front one by one by changing the objective weighting coefficients. The results showed that the optimal design of porous fence provided a remarkable shelter performance improvement compared with the near optimal design. It was also found that the weighting coefficient had a significant influence on the optimal results, and a good trade-off between the two conflicting objective functions has been achieved by selecting suitable fence parameters. Highlights: ● Single and multi-objective aerodynamic optimization of porous fences are performed. ● Optimal solution is obtained by the kriging model and genetic algorithm. ● RANS simulations are carried out to model the flow around porous fence and prism. ● The potential of the proposed optimization method is illustrated on two examples. ● The optimal fence exhibits a reasonable shelter performance improvement.