A network model for natural ventilation simulation in deep buried underground structures

Liu, Yanan; Xiao, Yimin; Chen, Jianli; Augenbroe, Godfried; Zhou, Tiecheng

doi:10.1016/j.buildenv.2019.01.045

A network model for natural ventilation simulation in deep buried underground structures

Journal Article · Wed Jan 30 23:00:00 EST 2019 · Building and Environment

DOI:https://doi.org/10.1016/j.buildenv.2019.01.045· OSTI ID:1507681

Liu, Yanan ^[1]; Xiao, Yimin ^[2]; ^[3]; Augenbroe, Godfried ^[4]; Zhou, Tiecheng ^[2]

Chongqing Univ. (China); Georgia Inst. of Technology, Atlanta, GA (United States)
Chongqing Univ. (China)
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Georgia Inst. of Technology, Atlanta, GA (United States)

The study of underground natural ventilation opportunities has become increasingly significant in recent years with its promise of wide application in underground structures such as underground hydro power stations, metro stations, underground parking and laboratories. It is recognized that deployment of natural ventilation constitutes a passive technology that can lead to significant energy conservation if applied judiciously. This paper focuses on underground buildings that are buried deeply and typically consist of an underground complex network of connected structures. The other characteristic is that these structures house machinery and devices that generate heat, leading to elevated internal air temperatures. Combined with the deep location, it implies that buoyancy forces are significant which make natural ventilation through vertical shaft openings a viable option. These characteristics demand a study of the heat transfer processes between ambient conditions, soil and underground buildings. In this paper, we present a dynamic flow network model with loops for multizone airflow and apply it to deep buried underground structures considering the dominant heat transfer characteristics, not only through the elements of the network but also the heat exchange with the envelope and adjacent soil mass. Finally, a small-scale experiment of occurring airflow is conducted and compared with the outcomes of the dynamic simulation of the proposed model. The comparison serves as validation and illustration of the application potential of the network model for natural ventilation investigation and consecutive optimization of its use in underground buildings.

View Accepted Manuscript (DOE)

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: National Science Foundation of China

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1507681

Report Number(s):: NREL/JA--5500-73672

Journal Information:: Building and Environment, Journal Name: Building and Environment Journal Issue: C Vol. 153; ISSN 0360-1323

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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