A CFD-based assessment of Azolla biofilters for sustainable indoor air purification in low-carbon buildings
摘要
Indoor air pollution is increasing in energy-efficient buildings with restricted natural ventilation that results in pollutant accumulation in the form of carbon dioxide (CO2) and fine particulate matter (PM2.5). Conventional air purifiers are based on energy-consuming mechanical or chemical filtration mechanisms that are responsible for carbon emissions and maintenance. This research suggests a nature solution employing Azolla, a high-performance photosynthetic aquatic fern that grows rapidly, as a biofilter. A Computational Fluid Dynamics (CFD) model employing Navier–Stokes and advection–diffusion-reaction equations has been employed to model airflow and pollutant transport in an indoor test setup. Simulation yields the depletion of 40% of CO2 and 55% of PM2.5 concentrations within 300 s. These values find favorable validation with past experimental research on green plant systems, e.g., Peace Lily and green vertical walls, confirming the model. The Azolla system only uses 0.1–0.2 kWh/day, providing as much energy up to 90% with reduced carbon footprint compared to traditional HVAC systems. Its photosynthesis activity allows active CO2 capture, which can support potential net-negative emissions. The results justify incorporating Azolla-based filtration in green building design as a sustainable and energy-efficient indoor air cleaning mechanism.
Graphical abstract