Título:
On the choice of the parameter identification procedure in quasi-dynamic testing of low-temperature solar collectors.
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Autor:
Rodríguez-Muñoz, Juan M.
Bove, Italo
Alonso-Suárez, Rodrigo
Galione, Pedro
Bove, Italo
Alonso-Suárez, Rodrigo
Galione, Pedro
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Tipo de documento:
Preprint
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Palabras clave:
Solar thermal collector
Dynamic parameter identification
Transient model
ISO 9806 standard
Dynamic parameter identification
Transient model
ISO 9806 standard
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Año de publicación:
2025
Contenido:
Resumen:
The ISO 9806:2017 standard is widely used to characterize the thermal performance of solar collectors. It
permits two test methods: Steady State Testing (SST) and Quasi-Dynamic Testing (QDT). While SST
requires high stability and clear sky conditions, which limit its application, QDT offers more flexibility in
sky conditions. In contrast, the QDT method adds complexity due to the handling of transient phenomena
during data processing. There are two approaches to parameter identification in QDT: multilinear regression
(MLR) and dynamic parameter identification (DPI). MLR, the most common tool, faces challenges with
certain collector types and its results depend on the data averaging time. DPI, while more complex, has the
potential to overcome MLR’s shortcomings. Which of these two methods is most suitable for testing lowtemperature solar collectors in a broad sense is an issue that has not yet been addressed. This work provides
evidence that the DPI procedure is more convenient than the MLR procedure, especially for evacuated tube
collectors with heat pipes. Specifically, it is shown that DPI produces more reliable test results and provides
more accurate estimates of useful power, and it exhibits less variability with respect to data averaging time,
demonstrating its improved robustness.
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Citación:
Rodríguez-Muñoz, J., Bove, I., Alonso-Suárez, R. y otros. On the choice of the parameter identification procedure in quasi-dynamic testing of low-temperature solar collectors [Preprint] Publicado en : Renewable Energy, vol. 247, July 2025. DOI: https://doi.org/10.1016/j.renene.2025.122931.
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Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| RBAG25.pdf | Preprint | 621.41 KB | Adobe PDF |