The Application of a Non-Intrusive Methodology to Estimate Particle Egress Rate and Advective Heat Losses of a Falling Particle Receiver during On-Sun Tests

Jesus Ortega, Clifford K. Ho, Guillermo Anaya, Peter Vorobieff, G. Mohan
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Abstract

The direct measurement particle temperatures and advective losses from solid particle receiver has been a topic of necessary interest to de-risk the technology and improve its performance. Due to the flow's transient and stochastic nature it has presented a challenge to traditional thermometry and metrology methods. In this work, a non-intrusive imaging methodology previously developed is applied to the Sandia's falling particle receiver during on-sun tests to collect image sets which could help estimate the average particle temperature and particle egress rate from the system. Further additions to the technique are presented to permit the estimation of plume (air and particles) egress rate and total advective heat losses during on-sun operation. The falling particle receiver testing campaign in 2020 and 2021 allowed the team to capture multiple flow configurations and environmental conditions which to build a large database of data captures with different characteristics. Finally, the results captured were used to complete a regression study to gain further insight on the factors which impact the particle egress and the receiver's efficiency. Particle temperature, receiver flow configuration and wind speed were found to be the most impactful factors in the study.
应用非侵入式方法估算太阳下测试期间落尘粒子接收器的粒子排出率和平流热损失
直接测量固体颗粒接收器中的颗粒温度和平流损失一直是消除技术风险和提高其性能的必要课题。由于气流的瞬态和随机性质,这对传统的温度测量和计量方法提出了挑战。在这项工作中,先前开发的一种非侵入式成像方法被应用于桑迪亚落尘粒子接收器的日上测试,以收集图像集,从而帮助估算粒子的平均温度和粒子从系统中排出的速率。还介绍了对该技术的进一步补充,以估算日上运行期间的羽流(空气和粒子)排出率和总平流热损失。2020 年和 2021 年的降尘粒子接收器测试活动使团队能够捕获多种流动配置和环境条件,从而建立一个具有不同特征的大型数据捕获数据库。最后,采集的结果被用于完成回归研究,以进一步深入了解影响粒子出口和接收器效率的因素。研究发现,颗粒温度、接收器流量配置和风速是影响最大的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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