Selection of appropriate variables in the prediction of the coefficient of performance of absorption heat transformers

被引：0

作者：

Escobedo-Trujillo, B. ^{[1
]}

Colorado, D. ^{[2
]}

机构：

[1] Univ Veracruzana, Fac Ingn, Campus Coatzacoalcos,Av Univ Km 7-5, Coatzacoalcos 96535, Veracruz, Mexico

[2] Univ Veracruzana UV, Ctr Invest Recursos Energet & Sustentables CIRES, Av Univ Km 7-5, Coatzacoalcos 96535, Veracruz, Mexico

来源：

DESALINATION AND WATER TREATMENT | 2020年 / 183卷

关键词：

Lithium Bromide solution; Correlation coefficient; Covariance; PRINCIPAL COMPONENT ANALYSIS; NEURAL-NETWORK; COP;

D O I：

10.5004/dwt.2020.25174

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

This research consists of a proposal of three methods that analyze the contribution of each operational variable in the prediction of the coefficient of performance of three different absorption systems aimed at reducing the independent variables for a faster and more efficient prediction. Methods considered in this study are correlation analysis, principal component analysis combined with correlation analysis, and Carson's method. The experimental information includes (i) an absorption heat transformer with duplex components, (ii) an absorption single-state heat transformer, and (iii) a double-absorption heat transformer. For each case, the three methods were applied, the results were discussed in order to find the coincidences and discrepancies.

引用

页码：149 / 166

页数：18

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