Experimental study and evaluate the compressed air dust removal performance based on the trough solar system in the alpine area

IF 9.1 1区 工程技术 Q1 ENERGY & FUELS
Zhimin Wang , Xing Wang , Gangxing Bian , Fance Kong , Shangyu Yue
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Abstract

Dust accumulation can seriously degrade the photothermal performance of trough solar systems, and the selection of appropriate dust removal techniques in particular climatic areas has become a problem. This study investigated the effects of different airflow pressures and other factors on dust removal from concentrator surfaces in the alpine area, experimentally. Exploring the cleaning efficiency and desorption mechanisms of compressed airflow on typical dust types. The Whale Optimization Algorithm-Backpropagation Neural Network model was used to predict the dust removal performance under various factors in the trough solar system. Results show that the concentrator is cleared using the minimum airflow pressure of 0.4MPa, the removal efficiency of severe dust accumulation on the concentrator can reach up to 57.4 %. Subject to the influence of dust particle size, the removal efficiencies of the three types of dusts are Hunshandake sand > Road Dust > Campus Dust, and the overall removal efficiencies can reach up to 60 % or more in all of them. The R2 and RMSE of the WOA-BP model are respectively 0.965, 0.069. The results of the study can provide theoretical basis and engineering application guidance for the dust removal of trough system in alpine area.
高寒地区基于槽式太阳能系统的压缩空气除尘性能实验研究与评价
积尘会严重降低槽式太阳能系统的光热性能,在特定气候地区选择合适的除尘技术已成为一个问题。本文通过实验研究了不同风压等因素对高寒地区选矿厂除尘效果的影响。探讨了压缩气流对典型粉尘的清洗效率和解吸机理。采用Whale优化算法-反向传播神经网络模型对槽式太阳能系统中不同因素下的除尘性能进行了预测。结果表明,在最小气流压力为0.4MPa的情况下,对浓缩机上严重积尘的除尘效率可达57.4%。受粉尘粒径的影响,三种粉尘的去除效率分别为浑善达克砂;道路粉尘>;校园除尘,整体除尘效率可达60%以上。WOA-BP模型的R2和RMSE分别为0.965、0.069。研究结果可为高寒地区槽式除尘系统除尘提供理论依据和工程应用指导。
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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来源期刊
Renewable Energy
Renewable Energy 工程技术-能源与燃料
CiteScore
18.40
自引率
9.20%
发文量
1955
审稿时长
6.6 months
期刊介绍: Renewable Energy journal is dedicated to advancing knowledge and disseminating insights on various topics and technologies within renewable energy systems and components. Our mission is to support researchers, engineers, economists, manufacturers, NGOs, associations, and societies in staying updated on new developments in their respective fields and applying alternative energy solutions to current practices. As an international, multidisciplinary journal in renewable energy engineering and research, we strive to be a premier peer-reviewed platform and a trusted source of original research and reviews in the field of renewable energy. Join us in our endeavor to drive innovation and progress in sustainable energy solutions.
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