Examination of Occupant Arrangement in an Office Floor based on Nonuniformity of CO2 Concentration Using Computational Fluid Dynamics (CFD) Simulation PDF

Heating, ventilating, and air conditioning (HVAC) systems attempt to achieve a uniform indoor environment. However, this can be challenging, because the placement and control of HVAC systems and sensors are affected by many unpredictable factors. The efficacious exploitation of this nonuniformity can lead to an improvement of indoor environment around occupants. Of the many indoor environment variables, we focused on the CO₂ concentration associated with ventilation. In the first part of this two-part study, computational fluid dynamics (CFD) was utilized to determine the CO₂ concentration distribution in an office space. First, we investigated the effects of the recommended ventilation improvement countermeasures including (a) increasing ventilation volume, (b) placement of air circulators (fans), and (c) restricting the number of occupants with staggered seating. Measure (a) contributed to expanding a well-ventilated area, whereas measure (b) resulted in the leveling of the CO₂ concentration distribution; in the case of (c), most occupants stayed in the well-ventilated area. Based on these results, we increased the number of occupants by relocating air circulators, desks, and occupants, and 72 occupants could stay in well-ventilated areas. The target space capacity calculated from the design standard was 75. In the second part, we attempted to predict the CO₂ concentration around occupants using neural network. The dataset of seating arrangement, sensor CO₂ concentration, and CO₂ concentration of each seat were created using CFD simulation. In this study, the CO₂ concentration of each seat was calculated with a root mean square error of less than 10 ppm. In future studies, it may be possible to increase the number of occupants in a well-ventilated area by considering the nonuniformity, and the use of neural network should be tested with real world data as input.

File Size :	1 file
Note :	This product is unavailable in Russia, Belarus
Number of Pages :	9
Product Code(s) :	D-IAQ2020-C20
Published :	2021