Experimental Method to Find the Flux Variation on the Receiver of Central Receiver System

Q4 Mathematics
Mahesh P. Kumbhare, Ganesh E. Kondhalkar, Kashinath H. Munde, Vikaskumar K. Mehtre
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引用次数: 0

Abstract

Concentrating solar technologies can be used for power generation as well as industrial process heating. A point focusing solar collector forms a flux distribution on the receiver plate in two dimensions at the focal plane. A tool or method for analyzing the flux distribution nature can be great helpful to know the optical quality of the receiver. Experiments needs to be carried out in the focal region of the concentrating collector to know the flux distribution on the receiver plate. Behavior of the flux distribution are measured by flux mapping techniques and also these methods can provide accurate results, but the equipment of this method is specialized and costly. A simple method need to estimate the optical quality like flux distribution and focus size for central receiver system. Thermocouple method is used for finding the distribution of flux density on the receiver. This information is helpful in the design of the receiver size, shape and the choice of the material.
中央接收系统接收机通量变化的实验方法
聚光太阳能技术既可用于发电,也可用于工业加热。点聚焦太阳能集热器在接收板的焦平面上形成二维的光通量分布。一种分析光通量分布性质的工具或方法对了解接收机的光学质量有很大的帮助。需要在聚光集热器的焦点区域进行实验,以了解接收板上的通量分布。利用磁通测绘技术测量磁通分布的行为,也可以提供准确的结果,但这种方法的设备专业且昂贵。一种简单的方法需要估计中央接收系统的光通量分布和聚焦大小等光学质量。采用热电偶法求解磁通密度在接收机上的分布。这些信息有助于设计接收器的尺寸、形状和材料的选择。
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来源期刊
Philippine Statistician
Philippine Statistician Mathematics-Statistics and Probability
CiteScore
0.50
自引率
0.00%
发文量
92
期刊介绍: The Journal aims to provide a media for the dissemination of research by statisticians and researchers using statistical method in resolving their research problems. While a broad spectrum of topics will be entertained, those with original contribution to the statistical science or those that illustrates novel applications of statistics in solving real-life problems will be prioritized. The scope includes, but is not limited to the following topics:  Official Statistics  Computational Statistics  Simulation Studies  Mathematical Statistics  Survey Sampling  Statistics Education  Time Series Analysis  Biostatistics  Nonparametric Methods  Experimental Designs and Analysis  Econometric Theory and Applications  Other Applications
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