The Use of Filtering for the Dynamic Characterization Of PV/T Flat Plate Collectors
Abstract
In this work, filtering was applied to experimental measurements of data under forced transient conditions in order to characterize the thermal performance of PV/T flat-plate collectors. The data were derived from outdoor dynamic-state thermal performance test. A filtering is considered alongside other efforts to optimize the results of the Multiple Linear Regression (MLR) process. After applying a filtering method, data fluctuations were smoothed to expose its features, and to provide a reasonable starting approach for parametric fitting. The results obtained show that the regression coefficient (r2) and t-ratio values for the characterized parameters increased significantly after filtering process. The zero efficiency and heat loss values obtained after applying the filtering process showed a good degree of agreement in comparison with the results obtained from outdoor steady-state thermal performance tests.