An empirical model to predict the performance of typical solar chimneys considering both room and cavity configurations

Shi, L and Zhang, G 2016, 'An empirical model to predict the performance of typical solar chimneys considering both room and cavity configurations', Building and environment, vol. 103, pp. 250-261.


Document type: Journal Article
Collection: Journal Articles

Title An empirical model to predict the performance of typical solar chimneys considering both room and cavity configurations
Author(s) Shi, L
Zhang, G
Year 2016
Journal name Building and environment
Volume number 103
Start page 250
End page 261
Total pages 12
Publisher Elsevier
Abstract The solar chimney is a reliable passive ventilation system that can largely reduce the energy requirements with both low costs and maintenance for buildings to overcome the current energy crisis. To optimize its design, an empirical model is developed to predict the performance of typical solar chimneys considering both room and chimney cavity configurations using easily acquired inputs. Fire Dynamics Simulator (FDS) as an excellent and open-source tool to solve heating, ventilation and air conditioning problems is selected for this study. The numerical modelling of FDS was first validated by previous experimental data, and then used to develop the empirical model. In this model, a coefficient describing room and chimney configuration (e.g., room opening, inlet and outlet of cavity) is proposed. It is shown that room size (length, width and height) and opening location have limited influence on performance. Also the radiation from hot walls can be ignored when compared to convection heat transfer between the hot walls and the air inside the cavity. This study provides key knowledge to optimize the design of solar chimneys in energy saving for buildings.
Subject Building Science and Techniques
Keyword(s) Solar chimney
Natural ventilation
Computational fluid dynamics
Parametric analysis
Thermal buoyancy
Empirical model
DOI - identifier 10.1016/j.buildenv.2016.04.024
Copyright notice © 2016 Elsevier Ltd. All rights reserved.
ISSN 0360-1323
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
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