Thermal performance optimisation of Pavement Solar Collectors using response surface methodology
Thermal performance optimisation of Pavement Solar Collectors using response surface methodology
复制标题
使用响应面法优化路面太阳能集热器的热性能
DOI：
10.1016/j.renene.2023.04.083
复制
发表时间：
2023
期刊：
影响因子：
8.7
通讯作者：
Ghalandari T
中科院分区：
文献类型：
--
作者：
Ghalandari T
最近的研究强调了影响路面太阳能集热器（PSC）热性能的因素，如材料的热物理特性、几何规格和操作条件。本研究引入了一种新的方法来研究各种参数对psc长期性能的影响。响应面法（RSM）通过减少由于多个设计参数的组合和充足的设计空间而导致的模拟次数来优化实验设计。因此，建议的PSC系统设计旨在：i)评估抽热能力；ii)研究降低沥青表面温度（STR）的能力；iii)通过RSM和有限元（FE）耦合模拟框架确定沥青层车辙电位（RTR）的降低。本文提出的集热容量STR和RTR统计预测回归模型，其预测r2值均在0.95以上，能充分代表实验数据。管道间距、流量和入口供应温度对目标函数的响应灵敏度较高，而其他参数对目标函数的响应灵敏度较低。最后，提出了一个使用NSGA-II的多目标优化框架，考虑目标函数的不同（或相等）权重，在设计空间中寻求帕累托前解。
Recent studies have highlighted the factors influencing the thermal performance of Pavement Solar Collectors (PSC), such as thermophysical properties of materials, geometrical specifications, and operational conditions. The present study introduces a new approach to investigating the impact of various parameters on the long-term performance of PSCs.The Response Surface Methodology (RSM) is used to optimise the experimental design by reducing the number of simulations resulting from the combination of several design parameters and ample design space. Hence, the proposed PSC system design aims to: i) assess the heat extraction capacity; ii) investigate the ability to diminish the asphalt surface temperature (STR); and iii) determine the reduction in asphalt layers’ rutting potential (RTR), through a coupled RSM and Finite Element (FE) simulation framework.The proposed statistical prediction regression models for heat harvesting capacity, STR, and RTR, adequately represent the experimental data with predicted R2values above 0.95. The pipe spacing, flow rate, and inlet supply temperature show a high sensitivity to the objective functions, while other parameters display a less sensitive response. Finally, a multi-objective optimisation framework using the NSGA-II is proposed to seek a Pareto front solution in the design space, considering different (or equal) weights for the objective functions.