Multiple linear regression based models for solar collectors

Kicsiny, Richárd (2016) Multiple linear regression based models for solar collectors. MECHANICAL ENGINEERING LETTERS: R AND D : RESEARCH AND DEVELOPMENT, 14. pp. 35-46. ISSN 2060-3789

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Abstract

Mathematical modelling is the theoretically established tool to investigate and develop solar thermal collectors as environmentally friendly technological heat producers. In the present survey, recent multiple linear regression (MLR) based collector models are presented and compared with one another and with a physically-based model, used successfully in many applications, by means of measured data. The MLR-based models, called MLR model, SMLR model and IMLR model, prove to be rather precise with a modelling error of 4.6%, 8.0% and 4.1%, respectively, which means that all MLR-based models are more or nearly the same accurate as the well- ried physically-based model. The SMLR model is the most, while the IMLR model is the least easy-to-apply MLR-based model with the lowest and the highest computational demand, respectively. Nevertheless, all MLR-based models have lower computational demand than the physically-based model. Accordingly, the MLR-based models are suggested for fast but accurate collector modelling.

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