抛物线槽
热的
分布式光线跟踪
蒙特卡罗方法
计算机科学
软件
MATLAB语言
适应性
环境科学
模拟
机械工程
气象学
工程类
物理
人工智能
数学
统计
渲染(计算机图形)
操作系统
程序设计语言
生物
生态学
作者
Ibtissam Bouarfa,Massaab El Ydrissi,Hamza El Hafdaoui,Mohamed Boujoudar,Abdelmajid Jamil,El Ghali Bennouna
标识
DOI:10.1016/j.solmat.2023.112676
摘要
This work presents the development of advanced optical and thermal models for parabolic trough collector systems (PTCs) through an extensive experimental study utilizing a PTMx-24 collector from Soltigua company, installed at Green Energy Park (GEP) research facility. The optical model leverages Tonatiuh software, employing the Monte Carlo Ray Tracing (MCRT) method. Moreover, a MATLAB script was adjusted to account for Incidence Angle Modifier (IAM) fluctuations in the optical analysis, while incorporating receiver thermal parameters for the thermal analysis. This study assesses the potential of PTCs in the territory of Solar Heat for Industrial Processes (SHIP) over various seasons within a semi-arid climate, offering invaluable insights for sustainable energy utilization. The validation of the models was conducted across four distinct days characterized by diverse meteorological conditions. The optical model demonstrates a remarkable correlation of 97.04 % between the MATLAB script and experimental results. Additionally, results from Tonatiuh software exhibited an important accuracy of 95.92 %. The thermal model showcased outstanding precision, revealing a correlation of 98.5 % compared to experimental results, signifying its adaptability to collectors of varying geometries and parameters. These findings highlight the predictive potential of these models, aiding in the decision-making process to determine the system's performance on specific days with specific meteorological conditions.
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