The impact of control strategies on filtration performance

Li, Tianyuan; Siegel, Jeffrey A.

doi:10.1016/j.enbuild.2021.111378

Cited by 4 publications

(15 citation statements)

References 32 publications

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“…These findings suggest that automating particle filter systems with fixed or adaptive thresholds can significantly reduce total energy usage while maintaining effective exposure reduction, building on the earlier findings of Li and Siegel [102] and providing support for the use of this method in real environments. Compared to constant air cleaning, fixed thresholds of a low concentration provide substantial reductions in runtime and therefore reductions in total energy usage and fan noise while providing substantial exposure reduction.…”

Section: Discussionsupporting

confidence: 58%

“…Previous investigations of particle filter system performance by Li and Siegel [102,105] used a simulated mass balance model, with probabilistic input parameters and stochastically distributed source events. This approach has limitations regarding how realistically it can simulate homes with different occupant behaviour (e.g., frequency and strength of source-emitting activities, use of range hoods, opening of windows).…”

Section: Simulated Concentrationsmentioning

confidence: 99%

“…The source rate (μg•m -3 •h -1 ) was calculated as the sum of the background source rate (S1) and the particle emission rate of all active indoor source events (S2), both normalized by indoor volume. S1 was calculated as a fixed value 2.0 μg•m -3 using average conditions reported in Li and Siegel [102]. S2 was calculated by assuming steadystate conditions when peak concentrations occurred and multiplying the peak concentration by the loss rate of the following decay period.…”

Section: Simulated Concentrationsmentioning

confidence: 99%

“…The results of the constant air cleaning will be used to evaluate the relative effectiveness and efficacy of the various thresholds. Li and Siegel [102] previously examined constant air cleaning in comparison to a range of fixed thresholds as well as other strategies to reduce system runtime.…”

Section: Air Cleaning Thresholdsmentioning

confidence: 99%

“…However, it is unclear whether it also lowers energy usage and noise in practice [35]. Li and Siegel [102] reported that, in simulated environments, using a fixed PM2.5 concentration threshold can reduce runtime while achieving high levels of exposure reduction.…”

Section: Introductionmentioning

confidence: 99%

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Section: Discussionsupporting

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Section: Simulated Concentrationsmentioning

confidence: 99%

Section: Simulated Concentrationsmentioning

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Section: Air Cleaning Thresholdsmentioning

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Evaluation of fixed and adaptive concentration thresholds for particle filter systems

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Particle filtration can effectively reduce indoor concentrations of particulate matter (PM) but may incur high energy use. This study evaluates fixed and adaptive concentration thresholds to automate the operation of filtration systems. Simulated environments were derived from week-long continuous PM measurements from Dylos DC1700 (N = 104) and Alphasense OPC-N2 (N = 100) particle counters deployed in apartments in Toronto. A fixed threshold of 4.0 μg•m −3 resulted in a mean air cleaner runtime of 6.9%-21.0% depending on clean air delivery rate (CADR) and particle sensor, while providing mean concentration reductions of 67%-71% compared to operating the air cleaner constantly (runtime = 100%). In most environments, runtime could be further reduced by raising the fixed threshold while resulting in only a modest decrease in absolute and normalized mean exposure reduction. Using an adaptive threshold derived from a k-means clustering approach generally provided substantial exposure reduction while preventing high runtimes. These results were generally insensitive to cleaning power and the monitor used to measure particle concentrations.Reducing the energy usage of particle filter systems will make them a more viable and sustainable means of improving occupant health.

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Task-based paradigm for the design of office occupant-building interactions

Kalvelage

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This research is for my grandparents, George and Darlene Schmitt, who have supported me throughout my entire career. From making sure I picked up every last rock in a field to critiquing every play during my sports career; their dedication did not go unnoticed. The biggest thank you would never be enough. I would not be where I am and who I am today without you.Additionally, this research is for my dogs, Anubis, Horus, and Osiris, who kept me company while I wrote and made sure I never missed dinner.

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The impact of control strategies on filtration performance

Cited by 4 publications

References 32 publications

Particulate matter concentrations in social housing

Particulate matter concentrations in social housing

Evaluation of fixed and adaptive concentration thresholds for particle filter systems

Task-based paradigm for the design of office occupant-building interactions

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