Experimental evaluation of a 3-D dynamic solar-thermal collector model under time-varying environmental conditions
File(s)Guarracinoetal_ECOS_2016_FINAL.pdf (2.33 MB)
Accepted version
Author(s)
Guarracino, I
Freeman, J
Markides, CN
Type
Conference Paper
Abstract
Reliable dynamic models are required for the correct prediction of the performance of solar-thermal collectors under variable solar-irradiance conditions. In this paper we present a 3-dimensional (3-D) dynamic thermal model applied to three different collector geometries: a flat plate collector (FPC), an evacuated tube collector (ETC), and also a hybrid photovoltaic-thermal (PVT) collector. Results from the model are evaluated against real data from a series of dynamic and steady-state experiments performed in Limassol, Cyprus and London, UK. The 3-D model equations are summarised and the test apparatuses and procedures are described. In the transient response tests, the model is found to under-predict the time constant for the ETC and PVT collectors by 35-55%, while for the simpler FPC the time constant is under-predicted by 20-35%. The collector model is also implemented into a wider domestic hot-water system model that includes a hot-water storage tank, in order to assess performance predictions over a diurnal operating period on an intermittently cloudy day. The results are compared to a single-node quasi-steady state model that uses the collector steady-state efficiency coefficients and a single-node dynamic model that uses a lumped collector thermal capacity (determined using experimental and calculation-based methods in the European Standard for solar collector testing). The 3-D model is shown to provide promising results that are within the range predicted by the two single-node dynamic models. For the PVT collector simulated under intermittent conditions, the predicted net daily energy gain to the store is found to be within 2% of experimentally obtained results. By comparison, a quasi-steady state model based on the collector’s steady-state efficiency curve is found to over-predict the thermal energy gain to the store by 8% over the same operating period.
Date Issued
2016-06-19
Date Acceptance
2016-05-10
Copyright Statement
© the authors
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering and Physical Sciences Research Council
Grant Number
EP/J006041/1
EP/M025012/1
EP/K502856/1
Source
ECOS 2016, 29th International conference on Efficiency, Cost, Optimization, Simulation and Environmental impact of Energy Systems
Publication Status
Accepted
Start Date
2016-06-19
Finish Date
2016-06-23
Coverage Spatial
Portoroz, Slovenia