Abstract
With increasing global concerns regarding indoor air quality (IAQ) and air pollution, concerns about regularly replacing ventilation devices, particularly high-efficiency particulate air (HEPA) filters, have increased. However, users cannot easily determine when to replace filters. This paper proposes models to estimate the dust loading levels of HEPA filters for an energy-recovery ventilation system that performs air purification. The models utilize filter pressure drops, the revolutions per minute (RPM) of supply fans, and rated airflow modes as variables for regression equations. The obtained results demonstrated that the filter dust loading level could be estimated once the filter pressure drops and RPM, and voltage for the rated airflow were input in the models, with a root mean square error of 5.1–12.9%. Despite current methods using fewer experimental datasets than the proposed models, our findings indicate that these models could be efficiently used in the development of filter replacement alarms to help users decide when to replace their filters.
Highlights
With increasing global concerns regarding indoor air quality (IAQ) and air pollution, concerns about regularly replacing ventilation devices, high-efficiency particulate air (HEPA) filters, have increased
To complement the air purification capabilities of ventilation equipment, energy-recovery ventilation (ERV) systems equipped with high-efficiency particulate air (HEPA) filters that combine the benefits of ventilation systems and air purifiers, are widely used [18,19]
Since the flow path of the system was different for each operation mode, the results were presented separately for the ventilation and air purification modes and separately according to the rated air flow rates
Summary
With the rapid growth of the global economy, indoor air quality (IAQ) has emerged as a major global concern [1,2,3,4]. HEPA filter dust-loading levels can be estimated using these sensor systems, the simplest and most economical way to do so is to install manometers on air filters and use them to measure the pressure drop [20]. One study measured the pressure drop of an entire HEPA filter and demonstrated the possibility of finding the optimal replacement frequency intervals of HEPA filters. This was only applicable for radioactive aerosol filtration systems in nuclear power plants. In this study, a HEPA filter dust loading prediction model was developed, based on analyzing the pressure drop of an HEPA filter and the RPM of an SA fan for standing ERV air purifiers with a general flow path. The development of the model and the experiment that was conducted to evaluate its performance are discussed
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