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. 2022;19(12):11685-11698.
doi: 10.1007/s13762-022-03948-9. Epub 2022 Jan 31.

Simulation of thermal sanitization of air with heat recovery as applied to airborne pathogen deactivation

Affiliations

Simulation of thermal sanitization of air with heat recovery as applied to airborne pathogen deactivation

M Busto et al. Int J Environ Sci Technol (Tehran). 2022.

Abstract

The technique of air sterilization by thermal effect was revisited in this work. The impact of incorporating a high efficiency heat recovery exchanger to a sterilizing cell was especially assessed. A mathematical model was developed to study the dynamics and the steady state of the sterilizer. Computer simulation and reported data of thermal inactivation of pathogens permitted obtaining results for a proof-of-concept. The simulation results confirmed that the incorporation of a heat recovery exchanger permits saving more than 90% of the energy needed to heat the air to the temperature necessary for sterilization, i.e., sterilization without heat recovery consumes 10-20 times the energy of the same sterilization device with heat recovery. Sanitization temperature is the main process variable for sanitization, a fact related to the activated nature of the thermal inactivation of viruses and bacteria. Heat recovery efficiency was a strong function of the heat transfer parameters but also rather insensitive to the cell temperature. The heat transfer area determined the maximum capacity of the sterilizer (maximum air flowrate) given the restrictions of minimum sanitization efficiency and maximum power consumption. The proposed thermal sterilization device has important advantages of robustness and simplicity over other commercial sterilization devices, needing practically no maintenance and eliminating a big variety of microorganisms to any desired degree. For most pathogens, the inactivation can be total. This result is not affected by the uncertainties in thermal inactivation data, due to the Arrhenius-like dependence of inactivation. Temperature can be adjusted to achieve any removal degree.

Keywords: Air; Bacteria; Coronavirus; Spores; Thermal sanitization; Viruses.

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Conflict of interest statement

Conflict of interestThe authors have no relevant financial or non-financial interests to disclose.

Figures

Fig. 1
Fig. 1
Air sterilization by heat treatment. a Without heat recovery. b With heat recovery. The heat source is an electric coil. m˙ is the mass flowrate of air, Cp is the specific heat capacity of air. Q is the heat consumption of the sterilizer
Fig. 2
Fig. 2
Example of implementation of the sterilization cell with heat recovery. Economizer is a shell-and-tube heat exchanger in this case
Fig. 3
Fig. 3
Economizer temperature (T) as a function of position (z) and time (t). a T versus z, Tsp = 200 °C, Fv = 36 m3 h−1, Qmax = 300 W. b Idem, Qmax = 1 kW. c T versus z, steady-state. d Power as a function of t, Qmax = 1 kW
Fig. 4
Fig. 4
Thermal death of viruses. Relative concentration in air as a function of the length along the sterilizer. SARS-CoV-1 virus (v1), SARS-CoV-2 virus (v2), Transmissible Gastroenteritis Virus-RH50 (v3), Hemorrhagic fever virus (v4)
Fig. 5
Fig. 5
Influence of flow rate on process properties (virus destruction > 99.9999%). (filled square) Pressure drop (mbar), (filled circle) Pumping power × 0.1 (W), (open triangle) Heating power (W), (filled triangle) Heat recovery efficiency ε (%), (diamond symbol) Heat transfer coefficient (W m−2 K−1)
Fig. 6
Fig. 6
Influence of β = heat transfer area/flow area. Constant heat transfer area, other conditions as in Table 3, Fv = 108 m3 h−1. (filled square) Pressure drop (mbar). (filled circle) Pumping power × 0.1 (W). (∆) Heating power (W). (filled triangle) Heat recovery efficiency × 1000
Fig. 7
Fig. 7
Influence of the sterilizing cell temperature. 200 °C (solid line), 270 °C (dash line), 300 °C (dotted line). Air flow rate of 36 m3 h−1. Rest of the data as in Table 3

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