Cooking grease particles purification review and technology combination strategy evaluation for commercial kitchens

Zhao, Dongfang; You, Xue-yi

doi:10.1007/s12273-021-0767-x

Cited by 13 publications

(3 citation statements)

References 60 publications

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“…In China, catering sales in 2018 were about 84.79 billion dollars, which has increased by 7.5% compared with 2017 about 78.86 billion dollars [1]. Meanwhile, the air quality problems derived from the emission of cooking oil fumes (COFs) have also sharply increased.…”

Section: Introductionmentioning

confidence: 99%

Study on the wettability of the stainless steel pieces prepared by different methods

Zou,

Chen,

Sun

et al. 2024

J. Phys.: Conf. Ser.

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With the increase in air quality problems derived from the emission of cooking oil fumes, the oil fume purifier was widely installed in household kitchens to eliminate the oil fume. However, because of the great adhesion of the oil, the elimination efficiency of the oil fume purifier goes down and its cleaning difficulty goes up. To solve the problem, four reagents were chosen to fabricate the amphiphobic surface by immersion and chemical vapor deposition. The results showed that the surfaces modified by alcohol reagent, organic fluorine group resin reagent, and heptafluorodecyl trimethoxysilane were only hydrophobic, while perfluorodecanoic acid-modified surface was amphiphobic and its contact angles for water and peanut oil were 138.3° and 125.5° respectively. Therefore, perfluorodecanoic acid could be used to prevent sticking and recycle the condensate of cooking oil fumes on the stainless steel surface of the oil fume purifier.

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Section: Introductionmentioning

confidence: 99%

Study on the wettability of the stainless steel pieces prepared by different methods

Zou,

Chen,

Sun

et al. 2024

J. Phys.: Conf. Ser.

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show abstract

“…With regard to the purification of cooking fumes, the technologies used in the catering industry in China currently include mechanical separation, filtration, washing and absorption and electrostatic deposition [21]. The electrostatic deposition is the most common technology, with the proportion of terminal two-stage electrostatic purifiers used to purify cooking fume in Chinese commercial kitchens as high as 98.04% [22].…”

Section: Introductionmentioning

confidence: 99%

Simulation Study of the Capture and Purification Performance of Exhaust Fume Systems in Chinese Commercial Kitchens—Case Study in Tianjin

et al. 2022

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A Chinese commercial kitchen fume exhaust (CCKEF) system mainly consists of a wall-mounted canopy hood, air duct and terminal electrostatic purifiers, the capture and purification performance of which should be guaranteed to obtain satisfactory indoor and outdoor air environment in engineering applications. However, few studies have focused on the operation performance of CCKEF systems. This study was aimed at providing a simulation method to investigate the operation performance of such systems. The simulation model of a representative CCKEF system was established using CFD software and validated with measured temperature, air velocity and purification efficiency with a deviation within 10%. The validated model was used to predict the indoor air environment and purification efficiency of the CCKEF system under different working conditions. The results showed that the temperature of transfer air from adjacent rooms had a greater impact on the thermal environment of the cooking area than the surface temperature of stoves. The exhaust air volume had a significant influence on both the indoor air environment and purification efficiency. CCKEF system was suggested to be operated at the optimum airflow according to the simultaneous coefficient of stoves as the energy consumption of the system can be saved by 3.75%.

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“…In particular, particles generated by indoor sources including tobacco smoke and cooking activities can make a substantial contribution to adverse effects on occupants (Abt et al 2000;Wang et al 2020). Numerous investigations have been conducted by researchers worldwide to figure out methods of reducing indoor particle concentrations (Zhao and You 2021). For instance, by enhancing aggregation/coagulation among suspended particles, large particles have a higher chance of depositing onto indoor surfaces (Guelcher et al 2000;Rim et al 2012) or being removed from surfaces in advance to avoid further resuspension (Mei et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Predicting indoor particle dispersion under dynamic ventilation modes with high-order Markov chain model

2021

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Mechanical and natural ventilations are effective measures to remove indoor airborne contaminants, thereby creating improved indoor air quality (IAQ). Among various simulation techniques, Markov chain model is a relatively new and efficient method in predicting indoor airborne pollutants. The existing Markov chain model (for indoor airborne pollutants) is basically assumed as first-order, which however is difficult to deal with airborne particles with non-negligible inertial. In this study, a novel weight-factor-based high-order (second-order and third-order) Markov chain model is developed to simulate particle dispersion and deposition indoors under fixed and dynamic ventilation modes. Flow fields under various ventilation modes are solved by computational fluid dynamics (CFD) tools in advance, and then the basic first-order Markov chain model is implemented and validated by both simulation results and experimental data from literature. Furthermore, different groups of weight factors are tested to estimate appropriate weight factors for both second-order and third-order Markov chain models. Finally, the calculation process is properly designed and controlled, so that the proposed high-order (second-order) Markov chain model can be used to perform particle-phase simulation under consecutively changed ventilation modes. Results indicate that the proposed second-order model does well in predicting particle dispersion and deposition under fixed ventilation mode as well as consecutively changed ventilation modes. Compared with traditional first-order Markov chain model, the proposed high-order model performs with more reasonable accuracy but without significant computing cost increment. The most suitable weight factors of the simulation case in this study are found to be (λ1 = 0.7, λ2 = 0.3, λ3 = 0) for second-order Markov chain model, and (λ1 = 0.8, λ2 = 0.1, λ3 = 0.1) for third-order Markov chain model in terms of reducing errors in particle deposition and escape prediction. With the improvements of the efficiency of state transfer matrix construction and flow field data acquisition/processing, the proposed high-order Markov chain model is expected to provide an alternative choice for fast prediction of indoor airborne particulate (as well as gaseous) pollutants under transient flows.

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Cooking grease particles purification review and technology combination strategy evaluation for commercial kitchens

Cited by 13 publications

References 60 publications

Study on the wettability of the stainless steel pieces prepared by different methods

Study on the wettability of the stainless steel pieces prepared by different methods

Simulation Study of the Capture and Purification Performance of Exhaust Fume Systems in Chinese Commercial Kitchens—Case Study in Tianjin

Predicting indoor particle dispersion under dynamic ventilation modes with high-order Markov chain model

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