Paper Conference

Proceedings of ASim Conference 2016: 3rd Asia conference of IBPSA-China, Japan, Korea

     

PREDICTION OF INDOOR ENVIRONMENTAL QUALITY OF AN OFFICE BUILDING USING COMPUTATIONAL FLUID DYNAMICS

R. Bandara, R. Attalage

Abstract: Buildings account for nearly 40% of the global energy consumption and 36% of carbon dioxide emissions annually. Hence presently, high emphasize is given for optimizing the performance of buildings through design of energy efficient buildings and optimum utilization of their resources. One of the fundamental criteria for assessing the performance of buildings is indoor environmental quality for human comfort and health. Indoor environmental quality is mainly governed by the ventilation performance in terms of indoor pollutant levels and thermal comfort of occupants. It is observed that people spend almost 90% of their time inside buildings, resulting indoor pollutant levels to reach 2 to 5 times higher than outdoor levels and if not addressed accordingly may lead to serious health issues. On the other hand, undesirable thermal comfort levels can affect productivity of occupants in a drastic manner, especially in an office setup. On this basis, present work analyses indoor environmental quality of an office building located in the suburbs of Colombo, Sri Lanka as per different ventilation methods using Computational Fluid Dynamics (CFD). Three dimensional computational model of the office building having 1,692,867 mixed mesh volumes, is created using GAMBIT v. 2.2. EnergyPlus v. 8.0 generates building envelope temperatures to be applied as boundary conditions for the CFD simulations. ANSYS Fluent v. 6.3 is used as the CFD tool. The k-ε RNG model predicts turbulence with enhanced wall treatment approach. Species transport model predicts dispersion of indoor emissions. The paper compares the predictions of indoor air temperature, air velocity, relative humidity, carbon dioxide concentration and Predicted Mean Vote (PMV) as per different building ventilation methods.
Keywords: Performance of buildings, Indoor environmental quality, Ventilation, Computational Fluid Dynamics
Paper:
asim2016_272