Theoretical models for predicting ventilation performance of vertical solar chimneys in tunnels

Journal article

Huang, Y., Wang, B., Luo, C., Shi, L., Lu, N., Dong, B. and Zhong, H. (2024). Theoretical models for predicting ventilation performance of vertical solar chimneys in tunnels. Renewable Energy. 232, p. 121023. https://doi.org/10.1016/j.renene.2024.121023
AuthorsHuang, Y., Wang, B., Luo, C., Shi, L., Lu, N., Dong, B. and Zhong, H.
Abstract

Solar chimney as a reliable renewable energy system has been primarily utilized for building ventilation, but its application in the tunnel is rarely explored. This study develops theoretical models to predict the ventilation performance of vertical solar chimney in urban tunnel. Five temperature distribution types within the chimney cavity are analyzed, including uniform, vertically linear, horizontally semi-parabolic, two piecewise semi-parabolic in the depth direction, and three-dimensional parabolic profiles. The theoretical models consider the effect of chimney configuration, tunnel geometry, glazing materials, and solar radiation intensity on airflow rate through solar chimney. Validation against experimental data and numerical simulation shows that considering three-dimensional temperature distributions results in an average 11 % deviation from validation data, outperforming assumptions of uniform (29.3 % deviation) or lower-dimensional profiles. The volumetric flow rate through solar chimney exponentially decreased with h/w and h/d that the optimum ratio of h/d is 10. The airflow rate linearly increased with 0.14 power of glazing absorptivity. This analysis provides technical guidance for optimizing solar chimney design in tunnels, enhancing natural ventilation, and reducing energy consumption for mechanical ventilation systems.

KeywordsSolar chimney; Urban tunnel; Natural ventilation; Renewable energy; Energy efficiency; Three-dimensional temperature distribution; Analytical model
Year2024
JournalRenewable Energy
Journal citation232, p. 121023
PublisherElsevier
ISSN0960-1481
1879-0682
Digital Object Identifier (DOI)https://doi.org/10.1016/j.renene.2024.121023
Web address (URL)https://www.sciencedirect.com/science/article/pii/S0960148124010917?via%3Dihub
Publication dates
Online17 Jul 2024
Publication process dates
Accepted16 Jul 2024
Deposited31 Jul 2024
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Open
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