A Detailed Dynamic Parameter Identification Procedure for Quasi-Dynamic Testing of Solar Thermal Collectors
Abstract
There are two procedures that can be used for parameter identification in the standard quasi-dynamic testing of solar thermal collectors: multilinear regression (MLR) and dynamic parameter identification (DPI). The main advantage of DPI is that it is more flexible with respect to the collector model that can be used. Most of the implementations that are available in the literature require non-free close-source software, so their replication is a difficult task. In this work we show a specific implementation of a dynamic parameter identification procedure for a flat plate collector. The algorithm is described in detail so anyone can reproduce it. We validate its implementation against the standard MLR procedure in a local test facility that complies with the ISO 9806:2017.