论文标题
使用系统级输入的微型体积接收器的几何设计：基于替代的方法的应用
Geometric Design of Micro Scale Volumetric Receiver Using System-Level Inputs: An Application of Surrogate-Based Approach
论文作者
论文摘要
集中太阳能热力是一项新兴的可再生技术，具有可访问的存储选项，可在需要时发电。由于达到最高温度，中央接收器系统或太阳能电塔在大型发电厂中具有最高的商业潜力。随着太阳化学应用的增加和新的太阳能热电厂，各种接收器设计在微型或宏观尺度，材料和温度限制中都需要。本文的目的是在各种条件下计算接收器的几何形状，并在概念设计期间提供信息。本文提出了基于替代物的设计优化，可针对文献中的微尺度体积接收器模型。该研究包括使用拉丁超立方体方法创建培训数据，训练五个不同的替代模型，替代模型验证，选择程序和基于替代的设计优化。选定的替代物的$ 98 \％$ r \ textsuperscript {2}拟合，小于$ 4 \％$ $ root均方根错误。在最后一步中，优化性能与基本模型相比。由于模型的复杂性，替代模型在较短的时间内达到了更好的客观值。
Concentrating solar thermal power is an emerging renewable technology with accessible storage options to generate electricity when required. Central receiver systems or solar towers have the highest commercial potential in large-scale power plants because of reaching the highest temperature. With the increasing solar chemistry applications and new solar thermal power plants, various receiver designs require in micro or macro-scale, in materials, and temperature limits. The purpose of the article is computing the geometry of the receiver in various conditions and provide information during the conceptual design. This paper proposes a surrogate-based design optimization for a micro-scale volumetric receiver model in the literature. The study includes creating training data using the Latin Hypercube method, training five different surrogate models, surrogate model validation, selection procedure, and surrogate-based design optimization. Selected surrogates have over $98\%$ R\textsuperscript{2} fit and less than $4\%$ root mean square error. In final step, optimization performance compared with the base model. Because of the model complexity, surrogate models reached better objective values in a significantly shorter time.
