改善抛物面槽式太阳能集热器光学性能的分析与优化

IF 2.1 4区 工程技术 Q3 ENERGY & FUELS Journal of Solar Energy Engineering-transactions of The Asme Pub Date : 2022-10-17 DOI:10.1115/1.4055995
A. Goel, R. Mahadeva, G. Manik
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引用次数: 7

摘要

本文详细分析了影响抛物槽式太阳能集热器(PTSC)光学性能的参数,并提出了一种优化相关参数的方法。针对工业太阳能技术(IST) PTSC的已知几何形状和参数,建立了数学模型并进行了仿真。该模型在三种不同的IST PTSC配置中进行了评估。实验结果与模型估计结果的比较表明,最大均方根误差(RMSE)为0.7997,验证了模型的可靠性。研究了吸收器直径(Dao)、长度(lrc)、宽度(wrc)和焦距(frc),以及直接法向入射角(in)、污物因子(ξdm、ξdhc)和入射角(θ)对PTSC光学性能的影响。结果表明,上述参数的变化对光学性能既有正面影响,也有负面影响。经过仔细分析,我们选择lrc、wrc、frc、Dao和θ进行优化,因为我们认为,在合理的范围内改变这些参数,可以得到一组最优的参数,使给定的PTSC吸收的太阳辐射最大化。利用遗传算法(GA)、粒子群算法(PSO)和非洲秃鹫优化算法(AVOA)来估计参数的最优值。优化后的参数显著改善了吸收的太阳辐射(约16%),这表明如果在为应用生产PTSC模块之前进行研究,可以获得好处。
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Analysis and optimization of parabolic trough solar collector to improve its optical performance
This article presents a detailed analysis of parameters that affect the optical performance of parabolic trough solar collector (PTSC) and proposes a suitable method to optimize the relevant ones. A mathematical model is drafted and simulated for known geometry and parameters of industrial solar technology (IST) PTSC. The model was evaluated for three different configurations of IST PTSC involving distinct components. A comparison between the experimental results and model estimations indicates a maximum root mean square error (RMSE) of 0.7997, confirming the reliability of the proposed model. The influence of variations in absorber diameter (Dao), length (lrc), width (wrc), and focal length of PTSC (frc), along with direct normal incidence (In), dirt factors (ξdm,ξdhc) and angle of incidence (θ) on the optical performance of PTSC has been investigated. It was established that variation in mentioned parameters exhibits both positive and negative impacts on optical performance. After careful analysis, lrc, wrc, frc, Dao and θ were chosen for optimization as it was perceived that by varying these in a reasonable range, an optimal set of parameters could be obtained that maximize the absorbed solar irradiation for a given PTSC. Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and African Vultures Optimization Algorithm (AVOA) are utilized to estimate the optimal values of parameters. Significant improvement in absorbed solar irradiation (~16%) is registered with optimized parameters, suggesting that benefits can be obtained if a study is performed prior to producing PTSC modules for an application.
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来源期刊
CiteScore
5.00
自引率
26.10%
发文量
98
审稿时长
6.0 months
期刊介绍: The Journal of Solar Energy Engineering - Including Wind Energy and Building Energy Conservation - publishes research papers that contain original work of permanent interest in all areas of solar energy and energy conservation, as well as discussions of policy and regulatory issues that affect renewable energy technologies and their implementation. Papers that do not include original work, but nonetheless present quality analysis or incremental improvements to past work may be published as Technical Briefs. Review papers are accepted but should be discussed with the Editor prior to submission. The Journal also publishes a section called Solar Scenery that features photographs or graphical displays of significant new installations or research facilities.
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