Modeling of opening characteristics of an atrium in natural ventilation

Atriums are widely applied in non-residential buildings to provide social contact, daylight, air circulation, and aesthetic requirements. Buoyancy-driven ventilation systems are common because they can maintain suitable thermal comfort and reduce energy. Modeling techniques used to simulate naturally ventilation include analytical models, full-scale and small-scale experiments, computational fluid dynamics(CFD) and airflow network tools, which have advantages and limitations. Investigations on atrium structure and opening characteristics have been limited up to now. This thesis studies the temperature stratification and air flow rates inside atrium buildings in purely buoyancy-driven ventilation. Ventilation effects in models with different heat sources, opening locations, opening sizes and numbers of floors are compared using CFD simulations. An airflow network tool, CoolVent, is used to compare the results with CFD models. Both temperatures and flow rates match well with discrepancies less than 10%. Therefore, the well-mixed temperature assumption in the atrium in the airflow network tool is suitable for single-layer atrium buildings. The full-scale experiment provides a detailed data set for further investigations. Air temperatures keep stable on every floor but increase with height. Therefore, the well-mixed temperature assumption over the entire height of the atrium in many analytical models is not applicable when the cross section of the atrium is small. The prediction of temperature distribution and flow rates in atrium buildings with buoyancy-driven ventilation is provided in details. Indoor air temperatures and flow rates can be calculated with known outside air temperatures and surface temperatures in the atrium. The estimation of heat transfer coefficients, especially the approximation of stairs can cause some discrepancies between calculated and actual results.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Architecture.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Luo, Qinzi

Advisor dc:contributor.advisor

• Leon R. Glicksman.

• Architecture.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/115629

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/115629