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Article

VOC Removal Performance of a Joint Process Coupling Biofiltration and Membrane-Filtration Treating Food Industry Waste Gas

by
Krystyna Lelicińska-Serafin
,
Anna Rolewicz-Kalińska
* and
Piotr Manczarski
Warsaw University of Technology Faculty of Building Services, Hydro and Environmental Engineering, 00-653 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(17), 3009; https://doi.org/10.3390/ijerph16173009
Submission received: 21 July 2019 / Revised: 15 August 2019 / Accepted: 20 August 2019 / Published: 21 August 2019
(This article belongs to the Special Issue Fundamentals and Techniques for VOCs and Odor Control)

Abstract

:
This study aimed to assess the efficiency of removal of volatile organic compounds (VOCs) from process gases from a food industry plant in East Poland, producing high-quality animal (goose, duck, and pig) and vegetable fats, using a two-stage method which is a combination of biological purification and membrane-separation. The research, conducted on the semi-technical scale, compared the effects of traditional and two-stage biofiltration carried out under the same process conditions. The concentrations of VOCs in process gases were measured by means of a multi-gas detector. Additionally the temperature and humidity of gases were determined by a thermoanemometer under filter bed, following the EU and Polish National Standard Methods Two different types of filling materials (the mix of stumpwood chips and bark, and the mix of stumpwood chips, bark, and compost) and two types of membranes (three-layer semi-permeable membrane fabrics were used, with differences in air permeability and water tightness) were analyzed. During all processes basic operational parameters, the biofilters were controlled, including surface load, volumetric load, duration of gas contact with the filling layer, flow rate, and pressure drops (in the biofilter and on the membrane). The analyzed gases were characterized by very high variability of VOC concentrations (ranging from 350 ppb to 11,170 ppb). The effectiveness of VOC removal (REvoc) was calculated by comparing the analytical results of raw and purified gases. The effectiveness of VOC removal with the application of traditional biofiltration during the experiment varied between 82% to 97% and was related to different parameters of the filling materials (mainly specific surface and moisture), reaching lower value for the mix of stumpwood chips and bark filling. The obtained results showed that the application of membrane improved the efficiency of biofiltration in all the analysed cases from 7% to 9%. The highest effectiveness was obtained using the filter bed in the form of stumpwood chips, bark, and compost in connection with the more permeable membrane. It was maintained between 96% to 99%, reaching an average value of 98%. The selection of the membrane should be determined by its permeability and the values of flow resistance.

Graphical Abstract

1. Introduction

Odor nuisance and the emission of contaminants to the atmosphere from technological processes are issues related to the protection of the environment and human life [1,2]. The emission of volatile organic compounds (VOCs) is one of the main problems related to air pollution in selected branches of the industry, among others, in the chemical, textile, metallurgic, and food industries [3,4,5]. In some regions, food processing and animal breeding have been identified as the primary sources of VOC emission [6,7]. Modern research has also addressed the problem of VOC emission related to the preparation of food, particularly meat, in the processes of boiling and frying in large industrial plants [8,9]. According to literature reports, the broadly defined food sector, covering both the production and processing of food, particularly that related to the processing of animal products, constitutes an important source of VOC emission. Therefore, it requires the application of relevant technological and legislative solutions for protection of the quality of the atmosphere by limiting VOC emission from technological processes, including “end-of-pipe” solutions [4,10,11].
For many years, limiting VOC emission in industrial installations has been conducted with the application of biological processes, incorporating bioreactors. Analyses of the operating costs show that biological methods are still a very competitive alternative to physical and chemical methods [12]. Biological purification of gases covers the parallel performance of two stages of purification: Sorption of contaminants and their biological decomposition. Contact of gas with the layer of filter bed covered with moist biofilm leads to sorption of contaminants with their further decomposition by microorganisms [13]. The most frequently applied solutions of biological purification include classic biofilters (horizontal and vertical), bioscrubbers, biological filter beds, and membrane filters [13,14]. The range of technologies for biological purification of industrial gases is continuously expanding. In addition to the parameters directly related to purification efficiency, the economic and operation conditions related to efficient full industrial scale applications are of high importance. Among others, such factors include energy consumption, quantity of post-process waste products, and resistance to atmospheric conditions [15,16]. The most commonly applied solutions for biological purification of gases still include traditional horizontal biofilters which, in accordance with the guidelines of the European Commission (e.g., in the scope of limiting the odor nuisance and emission of VOCs), are included in the solutions of the Best Available Techniques (BAT) [17,18,19,20]. The literature review shows that although the process of biological gas purification by biofiltration may achieve high removal levels of contaminants, including VOCs, research on the improvement of the efficiency of the method is still required. This is due to the fact that process efficiency varies between 60 to 95% in comparison to thermal oxidation (efficiency 95–99%), catalytic oxidation (efficiency 90–98%), absorption (efficiency 90–98%), or membrane separation (efficiency 90–99%) [21]. Nevertheless, traditional biofiltration has many advantages, including low investment and operational costs and no cumbersome waste, and is successfully applied on the technical scale [22,23]. These benefits justify investigation of improvement of the latter methods. The literature review indicates that in the treatment of waste and odorant gases since the end of 2010, there has been an increasing trend in developing bioreactor configurations (including those combined with physical methods) [23,24] to improve the efficiency of removing pollutants from process gases (also VOCs), including those from the food industry [25,26,27]. The literature also clearly indicates that research conducted on the laboratory scale does not take into account all the operational aspects that appear on the industrial scale. Consequently, research on the removal effectiveness of VOCs and abatement of other nuisances in the biofiltration process requires studies on the semi-technical and technical scales. Results obtained in the laboratory, due to the fully controlled conditions affecting the purification process, show higher biofiltration effectiveness than those from research conducted in field conditions. This results from many external and operational factors that may affect the operation of these devices on the full technical scale, such as the influence of atmospheric conditions (temperature, humidity) and temporally variable technological-operational parameters (gas flow rate, contact time with the filling media, biofilter load, dynamic changes in concentration of contaminants in process gases, etc.) [23,28,29,30].
The research described in this paper involves the analysis and assessment of the modified biofiltration process effectiveness in removal of VOCs from the food industry processes. The research employed a pilot two-stage biofilter combining traditional biofiltration and purification on a membrane filter. During the literature review, no research was found which included a combination of traditional biofiltration and purification on a membrane filter. An additional factor investigated during the research was application of two different filling materials, as well as two types of membranes constituting the second stage of gas purification. The subject of the research was twofold: The verification of the effectiveness of two-stage VOC removal from food industry process gases on the semi-technical scale, and the dependencies between the technical parameters and the efficiency of the employed biofilter. Therefore, examination of the technological parameters of the applied filling media was carried out, along with strict control of the operational parameters of the analyzed biofilters (compared to the reference values reported in the literature). The research described in this paper combines two gas purification methods, resulting in the possibility of increasing the effectiveness of VOC removal, and at the same time improving the first stage of purification through the application of the second stage. Moreover, conducting research on the semi-technical scale increases the credibility of the obtained results and constitutes an important contribution in the search for more efficient methods of purification of food industry gases.

2. Materials and Methods

2.1. Semi-Technical Scale Biofilter

The object of the study is a pilot biofilter allowing use of two purification methods: Traditional (single-stage) biofiltration with the application of an open biofilter, and integrated (two-stage) biofiltration with the second stage of purification in the form of a membrane fabric covering the surface of the device. The examined pilot biofilter was applied on the semi-technical scale, being connected to an installation for the extraction of process gases from a food industry plant located in Eastern Poland which produces high-quality animal (goose, duck, and pig) and vegetable fats.
Animal fat processing involves a series of purifying steps followed by modification into more usable products. The major steps are: Settling and degumming (removal of animal or plant proteins, carbohydrate residues, phosphatides, and water), neutralization/refining with alkali (of nonglyceride fatty materials by washing the oils with strong alkaline water solutions), bleaching, deodorization, fractionation (partial crystallization of a fat or oil at a specific temperature), and hydrogenation (direct addition of hydrogen to double bonds of fatty acids, to modify vast quantities of fats and oils).
The analyzed biofilter (Figure 1) is equipped with a fan, scrubber, automatic regulation of gas flow, instrumentation for measurement of gas flow, temperature, and humidity with data logger downstream the biofilter, systems for distribution of process gases and leachate drainage, membrane mounting system (including sealing), and a sliding shelf, enabling sample collection. The footprint of the active part of the studied biofilter has dimensions of 1.32 m × 3.00 m.

2.2. Experimental Design

2.2.1. Experimental Design

The experiment was implemented in six phases, presented in Table 1. The studied device was filled with two types of materials: A mix of stumpwood chips and bark (CB), and a mix of stumpwood chips, bark, and compost (CBC). The thickness of the filter bed 1.1÷1.2 m. The detailed characteristics of the filling materials are described in Section 2.4. For both filling variants, research on single-stage (traditional) and two-stage biofiltration was conducted. Two membrane fabrics (MI and MII) were subsequently used for the second stage of gas purification and their parameters are presented in Section 2.5. The experimental first phase covered research on the effectiveness of traditional biofiltration with the application of CB filling, and then research on the effectiveness of two-stage biofiltration after subsequent covering of the filling with membranes MI and MII. The analogous procedure was performed for CBC filling. The conditioning duration of the filling material was approximately three weeks each time.

2.2.2. Measurement Points and Number of Measurement Series, Samples, and Measurements

During the period May 1, 2018 to July 24, 2019, 20 measurement series were carried out. The number of measurement series resulted from the fact that the experiment was conducted on a semi-technical scale under the authentic operating conditions of the industrial plant. During each measurement series, samples of raw and purified process gases were collected. Raw gases were collected at the inlet to the biofilter (three repetitions in each measurement series) using an intake connector. Purified gases were sampled from 10 points on the surface of the biofilter (three repetitions from each measurement point in each measurement series). Figure 2 shows the locations of the sampling points. Samples of purified gases (from the surface of the biofilter) were collected with the application of a shield eliminating the effect of external conditions, i.e., a glass funnel positioned on the surface of the filling layer inside a metal or plastic cover. The gas sampling pipe was connected to the screened glass funnel. The described gas sampling method ensured isolation and representativeness of the samples.
The effectiveness of VOC removal was calculated by comparing the analytical results of raw and purified gases (11). The results were expressed as removal efficiency of VOCs (REvoc). REvoc was calculated as follows:
REvoc (%) = (Cinput - Cutput)/Cinput × 100,
where Cinput corresponds to the ppb concentration of VOCs in the raw gases, and Coutput corresponds to the ppb concentration of the purified gases.
Moreover, during the single-stage biofiltration measurement series (series 1–4 and 11–14), samples of the biofilter material filling were collected. During each of the measurement series, samples of the filling were collected from three points in the biofilter (Figure 2). At each sampling point, the filling material was collected from the entire vertical cross-section of the filter bed and averaged. From each averaged sample, a sample for laboratory analysis was prepared. Examination of physiochemical indicators (pH, moisture, specific surface, hydraulic diameter) was repeated three times.

2.3. Analytical Methods

The concentrations of VOCs in raw and purified process gases were measured by multi-gas detector MultiRAE (Rae Systems) with sensors based on various measurement principles (electrochemical and catalytic, infrared, photoionization sensor (PID)) with 10 ppb limit of detection and range from 0 to 20,000 ppb.
The temperature and humidity of gases were measured by means of a thermoanemometer TA440 (Airflow Instruments) with limits of detection for temperature (0.1 °C) and humidity (0.1%).
Total moisture, content of organic substances, pH, and grain size composition (by means of sieves with openings: 0.071; 0.1; 0.25; 0.5; 1.0; 2.0; 10.0; 25.0 mm) of the filter bed were determined following the relevant European Union and Polish National Standard Methods [31,32,33,34,35].
Measurements of the specific surface of the filling material were performed in accordance with the method of nitrogen sorption at a liquid nitrogen temperature using a Micromeritics ASAP2020 instrument with detection limits 0.01 m2·g−1.
The gas flow rate through the biofilter was recorded by the integrated control and measurement instrumentation. The surface and volumetric load of the biofilter, as well as contact time of gases with the filter medium, were calculated using the gas flow rate, active surface of the biofilter, and filter bed thickness.
The flow resistance in the experiment was determined as the difference of pressure before and after the biofilter (or membrane) using a differential pressure gauge.

2.4. Filling Material (Filter Bed)

Two types of materials were used for the filling of the analyzed biofilter: A mix of stumpwood chips with a grain diameter of 20–80 mm (50%) and pine bark (50%)–denoted as CB–and a mix of stumpwood chips with pine bark (50% in total, in a 1:1 ratio) with green waste compost (50%)–denoted as CBC (Figure 3). The thickness of the filter bed was 1.1–1.2 m.

2.5. Membrane Fabrics–Second Stage of Purification

The second stage of purification in the studied integrated biofilter employed three-layer semi-permeable membrane fabrics. Their external and internal layers were made of polystyrene, and the middle functional layer was an ePTFE membrane. The membrane, denoted as MI, is characterized by an average air permeability of 17.8 mm·s−1 and average watertightness of 199 cm H2O. The membrane, denoted as MII, is characterized by an average air permeability of 3.90 mm·s−1 and average watertightness of >2000 cm H2O.
The required surface of the applied membrane fabrics was calculated based of their permeabilities and surface loads of the biofilter in order to enable unimpeded flow of processed gases in the experimental conditions.

3. Results and Discussion

3.1. Raw Gases Characteristics

The analyzed gases were characterized by very high variability of concentrations of leading contaminants—VOCs (range from 350 ppb to 11,170 ppb), resulting from the conditions in animal and vegetable fats processing technology. The fluctuations were recorded both in each measurement series and during the whole research cycle. The concentration of organic pollutants in the raw gases did not exceed 1%.
Despite the differentiation mentioned above (especially observed during measurement series no. 8–10 and 17), the proposed configurations of the experiment can be compared because the raw gases came from the same source at all times during the experiment. Their characteristics indicated the possibility of biological purification, and all parameters of the tested biofilter were in the ranges indicated as optimal for the purification process. The differentiation resulted mainly from the technical scale of the experiment and the real industrial conditions (properties of the raw gases). The remaining gas parameters, such as temperature and humidity, were practically unchanged during the course of the study. Figure 4 presents fluctuations of VOC concentrations throughout the research cycle.
The correctness of the basic parameters of the analyzed process gases was confirmed by the possibility of their purification with the application of biological methods. The humidity of the purified gases was maintained close to saturation level and averaged 98.1% (SD ± 3.7%). The range of readings varied from 88.0 to 99.9%. The gas temperature did not exceed 33.2 °C, averaging 22.5 °C (SD ± 6.1 °C). The range of readings was 10.1 ÷ 33.2 °C. In accordance with the operational requirements for biofilters, the inlet gases were humidified to reach saturation state and their temperature remained in the range 0 °C–40 °C [10,16]. The VOC concentrations in raw gases did not exceed levels specified in the literature as limiting the effectiveness of the process (>5000 ppm) [23].

3.2. Biofiltration Process Parameters

The majority of the operational parameters of the examined pilot biofilter were within the ranges reported in the literature as correct (Table 2).
During all phases of the experiment, control of the flow rate and pressure drops in the biofilter were also carried out. The results are presented in Table 3. The use of membranes as the next stage of purification did not significantly affect the value of flow resistance. The MI membrane caused a pressure drop in the range from 59 to 64 Pa. For the MII membrane, these values were in the range from 28 to 63 Pa.

3.3. Effectiveness of VOC Removal–Influence of the Filterbed (Single-Stage Biofiltration)

The efficiency of VOC removal with the application of traditional (single-stage) biofiltration during the experiment varied between 82% to 97% on average, reaching the lower value for the CB filling (86%) and higher value for the CBC filling (90%). Table 4 shows VOC concentrations in the raw and purified gases during subsequent measurement series of single-stage biofiltration. Figure 5 presents the variability of the contaminant removal effectiveness with the application of both filling materials.
The variability of VOC removal effectiveness during single-stage biofiltration is related to different parameters of the applied filling materials. In spite of differences, the parameters are within the optimum ranges reported in the literature for the biofiltration process [22,38]. Figure 6 depicts mean values of the characteristic parameters for both fillings used in the study and mean VOC removal effectiveness.
The effectiveness of VOC removal was affected to the greatest extent by differences in the values of specific surface (and the related hydraulic diameter) and moisture content of both fillings. The mean value of specific surface of the CB filling was at a level of 0.55 m2·g−1 and was three times lower than for the CBC filling (1.67 m2·g−1). The mean value of the hydraulic diameter of the CB material was 37.1 mm and was approximately five times higher than the hydraulic diameter of the CBC filling (8.7 mm). Higher efficiency of biofiltration was observed at a larger specific surface (accompanied by a smaller hydraulic diameter). The analysis of mean values of the moisture content of the filling material showed higher effectiveness of the process at lower moisture content and still remained within the optimum range for biofiltration. According to the literature, the moisture content should be below 90% [21], as moisture intake clogs the pores. Table 5 presents basic technical parameters of the filling materials used in the research, compared with optimal values from the literature.

3.4. Effectiveness of VOC Removal–Influence of Membranes (Two-Stage/Integrated Biofiltration)

The effectiveness of VOC removal by the two-stage biofiltration varied from 88% to >99%, depending on the type of the filling materials and membrane fabrics. Table 6 shows VOC concentrations in raw and purified gases during subsequent measurement series of two-stage biofiltration. Figure 7 presents the variability of the contaminant removal in relation to the phase of integrated biofiltration (for both types of fillings and membranes).

4. Conclusions

The experimental results presented here provide a new and important contribution in the search for more efficient methods for biological purification of gases. Such exploration is particularly needed, as the variable concentrations in raw gases create difficulties in both the purification and control of the process. Specifically, the following conclusions can be drawn:
  • The application of membrane fabrics as the second stage of purification improved the effectiveness of biofiltration in all the analyzed cases from 7% to 9%.
  • In the case of combining both types of membranes (MI and MII) with CBC filling, the effectiveness of VOC removal was more stable than in the case of integrated biofiltration with the application of CB filling.
  • The most effective solution for the VOC removal from process gases proved to be an integrated filter with a filter bed in the form of stumpwood chips with bark and compost (CBC), supplemented with the more permeable membrane (MI). The biofiltration effectiveness was maintained between 96% to 99%, reaching an average value of 98%.
  • The analyzed pilot integrated biofilter is an innovative solution in which the membrane constituting the cover of the biofilter bed is not only the second stage of purification by itself, but also contributes to the improvement of the first stage processes. Use of the membrane covering the biofilter allows better control of the processes, among others facilitating the maintenance of correct (not too high) humidity content in the biofilter layer. This is extremely important for the process effectiveness–the conducted research showed that the moisture level has a significant effect on the biofiltration efficiency. The effectiveness of VOC removal was higher at lower moisture values and remained within the optimal range.
  • The effectiveness of VOC removal varied depending on the applied filling materials. In the case of single-stage biofiltration, the mix of stumpwood chips, bark, and compost proved more beneficial.
  • The selection of the filling material in both cases of single-stage and integrated biofiltration should be governed by the parameters important for the biofiltration process–with particular consideration of the specific surface, which plays a substantial role in the sorption process.
  • The selection of the membrane fabric, constituting the second stage of purification, should be determined by its permeability (allowing purification of the specified stream of process gases) and the flow resistance values, to eliminate the risk of gas leaks without purification.
  • The research was conducted on the semi-technical scale, so it constitutes an important source of credible results.
  • Further research on the membranes studied in this paper should be carried out to establish their effect on the flow resistance values and on the filling material changes, resulting from covering with membrane fabrics.
  • Further research is carried out in the optimal variant (CBC + MI) identified in the article on the integrated biofilter in full technical scale.

Author Contributions

Conceptualization, K.L.-S. and P.M.; methodology, K.L.-S. and P.M.; validation, K.L.-S., A.R.-K. and P.M.; formal analysis, K.L.-S.; investigation, K.L.-S. and A.R.-K.; resources, K.L.-S. and A.R.-K.; data curation, K.L.-S. and A.R.-K.; writing—original draft preparation, K.L.-S. and A.R.-K.; writing—review and editing, P.M.; visualization, A.R.-K.; supervision, P.M.; project administration, P.M.; funding acquisition, P.M. and A.R.-K.

Funding

This research received funding from the European Regional Development Fund operated by the National Centre for Research and Development under the Smart Growth Operational Programme 2014–2020 under the priority axis IV: “Increasing the scientific and research potential” in the Measure 4.1. ‘R&D activity”, Sub-measure 4.1.2 “Regional science and research agendas” in the frame of Project Contract No POIR.04.01.02-00-0019/16. url: https://biozin.wordpress.com/.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

BATBest Available Techniques
CBmix of stumpwood chips and bark
CBCmix of stumpwood chips, bark and compost
ePTFEExpanded polytetrafluoroethylene
PIDphotoionization gas detector
SDstandard deviation
VOCsvolatile organic compounds

References

  1. Revah, S.; Morgan-Sagastume, J.M. Methods of Odor and VOC Control. In Biotechnology for Odor and Air Pollution Control; Shareefdeen, Z., Singh, A., Eds.; Springer: Berlin/Heidelberg, Germany, 2005; pp. 29–60. [Google Scholar]
  2. Brancher, M.; Grif, K.D.; Franco, D.; Melo, H.D. A review of odour impact criteria in selected countries around the world. Chemosphere 2017, 168, 1531–1570. [Google Scholar] [CrossRef] [PubMed]
  3. Hamal, S.M.; Razzak, S.A.; Hossain, M.M. Catalytic oxidation of volatile organic compounds (VOCs)—A review. Atmos. Environ. 2016, 140, 117–134. [Google Scholar]
  4. Gospodarek, M.; Rybarczyk, P. Comparative Evaluation of Selected Biological Methods for the Removal of Hydrophilic and Hydrophobic Odorous VOCs from Air. Processes 2019, 7, 187. [Google Scholar] [CrossRef]
  5. Filipy, J.; Rumburg, B.; Mount, G.; Westberg, H.; Lamb, B. Identification and quantification of volatile organic compounds from a dairy. Atmos. Environ. 2006, 40, 1480–1494. [Google Scholar] [CrossRef]
  6. Alanis, P.; Ashkan, S.; Krauter, C.; Campbell, S.; Hasson, A.S. Emissions of volatile fatty acids from feed at dairy facilities. Atmos. Environ. 2010, 44, 5084–5092. [Google Scholar] [CrossRef]
  7. Gao, Z.; Hu, G.; Wang, H.; Zhu, B. Characterization and assessment of volatile organic compounds (VOCs) emissions from the typical food manufactures in Jiangsu province, China. Atmos. Pollut. Res. 2019, 10, 571–579. [Google Scholar] [CrossRef]
  8. Cheng, S.; Wang, G.; Lang, J.; Wen, W.; Wang, X.; Yao, S. Characterization of volatile organic compounds from different cooking emissions. Atmos. Environ. 2016, 145, 299–307. [Google Scholar] [CrossRef]
  9. Gysel, N.; Welch, W.A.; Chen, C.; Dixit, P.; Iii, D.R.C.; Karavalakis, G. Particulate matter emissions and gaseous air toxic pollutants from commercial meat cooking operations. J. Environ. Sci. 2018, 65, 162–170. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Wang, H.; Nie, L.; Jing, L.I.; Yufei, W.; Gang, W.; Junhui, W. Characterization and assessment of volatile organic compounds (VOCs) emissions from typical industries. Chin. Sci. Bull. 2013, 58, 724–730. [Google Scholar] [CrossRef] [Green Version]
  11. Rybarczyk, P.; Szulczyński, B.; Gębicki, J.; Hupka, J. Treatment of malodorous air in biotrickling filters: A review. Biochem. Eng. J. 2019, 141, 146–162. [Google Scholar] [CrossRef]
  12. Ramírez-Sáenz, D.; Zarate-Segura, P.B.; Guerrero-Barajas, C.; García-Pena, E.I. H2S and volatile fatty acids elimination by biofiltration: Clean-up process for biogas potential use. J. Hazard. Mater. 2009, 163, 1272–1281. [Google Scholar] [CrossRef] [PubMed]
  13. Kwarciak-Kozłowska, A.; Bańka, B. Neutralization of odors generated during composting of biodegradable fraction of municipal and industrial waste by biofiltration. Inz. Ochr. Sr. 2014, 17, 631–645. (In Polish) [Google Scholar]
  14. Mudliar, S.; Giri, B.; Padoley, K.; Satpute, D.; Dixit, R.; Bhatt, P. Bioreactors for treatment of VOCs and odours—A review. J. Environ. Manag. 2010, 91, 1039–1054. [Google Scholar] [CrossRef]
  15. Zhang, X.; Gao, B.; Creamer, A.E.; Cao, C.; Li, Y. Adsorption of VOCs onto engineered carbon materials: A review. J. Hazard. Mater. 2017, 338, 102–123. [Google Scholar] [CrossRef]
  16. Xi, J.; Saingam, P.; Gu, F.; Hu, H. Effect of continuous ozone injection on performance and biomass accumulation of biofilters treating gaseous toluene. Appl. Microbiol. Biotechnol. 2014, 98, 9437–9446. [Google Scholar] [CrossRef] [PubMed]
  17. European Comission. Commission Implementing Decision (EU) 2018/1147 of 10 August 2018 establishing best available techniques (BAT) conclusions for waste treatment, under Directive 2010/75/EU of the European Parliament and of the Council (notified under document C(2018) 5070). Off. J. Eur. Union 2018, OJL 208, 38–90. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/?toc=OJ:L:2018:208:TOC&uri=uriserv:OJ.L_.2018.208.01.0038.01.ENG (accessed on 26 May 2019).
  18. Soret, R.; Fanlo, J.-L.; Malhautier, L.; Geiger, P.; Bayle, S. Investigation of Removal Capacities of Biofilters for Airborne Viable Micro-Organisms. Int. J. Environ. Res. Public Health 2018, 15, 551. [Google Scholar] [CrossRef] [PubMed]
  19. Commission Implementing Decision (EU). 2017/302 of 15 February 2017 establishing best available techniques (BAT) conclusions, under Directive 2010/75/EU of the European Parliament and of the Council, for the intensive rearing of poultry or pigs (notified under document C(2017) 688) (Text with EEA relevance. Off. J. Eur. Union 2017, OJL 43, 231–279. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32017D0302 (accessed on 26 May 2019).
  20. European Comission. Integrated Pollution Prevention and Control Reference Document on Best Available Techniques in the Food, Drink and Milk Industries. 2006. Available online: https://eippcb.jrc.ec.europa.eu/reference/BREF/fdm_bref_0806.pdf (accessed on 26 May 2019).
  21. Khan, F.I.; Ghoshal, A.K. Removal of Volatile Organic Compounds from polluted air. J. Loss Prev. Process Ind. 2000, 13, 527–545. [Google Scholar] [CrossRef]
  22. Barbusinski, K.; Kalemba, K.; Kasperczyk, D.; Urbaniec, K.; Kozik, V. Biological methods for odor—A review. J. Clean. Prod. 2017, 152, 223–241. [Google Scholar] [CrossRef]
  23. Malakar, S.; Das Saha, P.; Baskaran, D.; Rajamanickam, R. Comparative study of biofiltration process for treatment of VOCs emission from petroleum refinery wastewater—A review. Environ. Technol. Innov. 2017, 8, 441–461. [Google Scholar] [CrossRef]
  24. Kennes, C.; Veiga, M.C. Technologies for the abatement of odours and volatile organic and inorganic compounds. Chem. Eng. Trans. 2010, 23, 1–6. [Google Scholar]
  25. Wierzbińska, M.; Modzelewski, W.E. The use of biofilters for deodorizing noxious gases. Ecol. Eng. 2015, 41, 125–132. [Google Scholar]
  26. Lebrero, R.; Rodríguez, E.; Martin, M.; García-Encina, P.A.; Muñoz, R. H2S and VOCs abatement robustness in biofilters and air diffusion bioreactors: A comparative study. Water Res. 2010, 44, 3905–3914. [Google Scholar] [CrossRef]
  27. Wu, H.; Yan, H.; Quan, Y.; Zhao, H.; Jiang, N.; Yin, C. Recent progress and perspectives in biotrickling filters for VOCs and odorous gases treatment. J. Environ. Manag. 2018, 222, 409–419. [Google Scholar] [CrossRef]
  28. Dumont, E.; Hamon, L.; Lagadec, S.; Landrain, P.; Landrain, B.; Andrès, Y. NH3 biofiltration of piggery air. J. Environ. Manag. 2014, 140, 26–32. [Google Scholar] [CrossRef]
  29. Iranpour, R.; Cox, H.H.J.; Deshusses, M.A.; Schroeder, E.D. Literature review of air pollution control biofilters and biotrickling filters for odor and volatile organic compound removal. Environ. Prog. 2005, 24, 254–267. [Google Scholar] [CrossRef]
  30. Sheridan, B.A.; Curran, T.P.; Dodd, V.A. Assessment of the influence of media particle size on the biofiltration of odorous exhaust ventilation air from a piggery facility. Bioresour. Technol. 2002, 84, 129–143. [Google Scholar] [CrossRef] [Green Version]
  31. PN-Z-15008-02:1993—Polish Version. Municipal Solid Waste—Testing of Fuel Properties—Determination of Total Moisture; The Polish Committee for Standardization: Warsaw, Poland, 1993. [Google Scholar]
  32. PN-Z-15011-3:2001—Polish Version. Compost from Municipal Waste—Determination: pH, Organic Matter Content, Organic Carbon, Nitrogen, Phosphorus and Potassium; The Polish Committee for Standardization: Warsaw, Poland, 2001. [Google Scholar]
  33. PN-EN 15002:2015-07—English Version. Characterization of Waste—Preparation of Samples for Analysis from a Laboratory Sample; The Polish Committee for Standardization: Warsaw, Poland, 2015. [Google Scholar]
  34. ISO 10390:2005-Soil Quality—Determination of pH; ISO: Geneva, Switzerland, 2005.
  35. PN-Z-15011-2:1998—Polish Version. Compost from Municipal Solid Waste—Determination of the Content of Particles Exceeding Certain Sizes as well as Glass and Ceramics; The Polish Committee for Standardization: Warsaw, Poland, 1998. [Google Scholar]
  36. (VDI) TA of GE. VDI-Standard: VDI 3477. Biological Waste Gas Treatment in Biofilters; Verlag des Vereins Deutscher Ingenieure: Düsseldorf, Germany, 2016. [Google Scholar]
  37. Bajpai, P. Biological Odour Treatment; Springer: Berlin/Heidelberg, Germany, 2014. [Google Scholar]
  38. Tiwari, A.; Alam, T.; Kumar, A.; Shukla, A.K. Control of Odour, Volatile Organic Compounds (VOCs) & Toxic Gases through Biofiltration—An Overview. Int. J. Tech. Innov. Mod. Eng. Sci. 2019, 5, 1–6. [Google Scholar]
  39. McNevin, D.; Barford, J. Biofiltration as an odour abatement strategy. Biochem. Eng. J. 2000, 5, 231–242. [Google Scholar] [CrossRef]
  40. Dorado, A.D.; Lafuente, F.J.; Gabriel, D.; Gamisans, X. A comparative study based on physical characteristics of suitable packing materials in biofiltration. Environ. Technol. 2010, 31, 193–204. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Leson, G.; Winer, A.M.; Leson, G. Biofiltration: An Innovative Air Pollution Control Technology for VOC Emissions Biofiltration. J. Air Waste Manag. Assoc. 1991, 41, 1045–1054. [Google Scholar] [CrossRef]
Figure 1. Single-stage (a) and two-stage biofiltration (b).
Figure 1. Single-stage (a) and two-stage biofiltration (b).
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Figure 2. Sample points locations, points 1–10 gases sampling, points 1′–3′ filling material sampling.
Figure 2. Sample points locations, points 1–10 gases sampling, points 1′–3′ filling material sampling.
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Figure 3. Applied filling materials, (a) A mix of stumpwood chips and pine bark (CB), (b) a mix of stumpwood chips, pine bark, and green waste compost (CBC).
Figure 3. Applied filling materials, (a) A mix of stumpwood chips and pine bark (CB), (b) a mix of stumpwood chips, pine bark, and green waste compost (CBC).
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Figure 4. Fluctuations of volatile organic compound (VOC) concentrations in the analyzed raw food industry gases throughout the research cycle. Results for each measurement series are represented by the arithmetic average.
Figure 4. Fluctuations of volatile organic compound (VOC) concentrations in the analyzed raw food industry gases throughout the research cycle. Results for each measurement series are represented by the arithmetic average.
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Figure 5. Mean effectiveness of VOC removal in subsequent measurement series of single-stage biofiltration for both fillings.
Figure 5. Mean effectiveness of VOC removal in subsequent measurement series of single-stage biofiltration for both fillings.
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Figure 6. Technical parameters of the used fillings collated with the VOC removal effectiveness–mean values.
Figure 6. Technical parameters of the used fillings collated with the VOC removal effectiveness–mean values.
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Figure 7. Mean effectiveness of VOC removal in subsequent measurement series of two-stage biofiltration.
Figure 7. Mean effectiveness of VOC removal in subsequent measurement series of two-stage biofiltration.
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Figure 8. Changes in the effectiveness of VOC removal with the application of single-stage and integrated biofiltration depending on the type of biofilter bed and membrane.
Figure 8. Changes in the effectiveness of VOC removal with the application of single-stage and integrated biofiltration depending on the type of biofilter bed and membrane.
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Table 1. Comparison of measurement series in particular phases of the experiment.
Table 1. Comparison of measurement series in particular phases of the experiment.
FilterbedMembrane TypeNumbers of Measurement SeriesIdentification of Experiment Phase
mix of stumpwood chips and bark (CB)-1–4CB
MI5–7CB + MI
MII8–10CB + MII
mix of stumpwood chips, bark and compost (CBC)-11–14CBC
MI15–17CBC + MI
MII18–20CBC + MII
Table 2. Comparison of the basic operational parameters of the studied pilot biofilter.
Table 2. Comparison of the basic operational parameters of the studied pilot biofilter.
Operational Parameters CB *CBC *CB + MI *CBC + MI *CB + MII *CBC + MII *Recommended Values
Surface load
m3·m−2·h−1
average value ± SD96.5 ± 6.181.3 ± 21.797.1 ± 4.299.4 ± 1.097.8 ± 1.0100.7 ± 1.145 ÷ 150 [36,37]
range87.4 ÷ 100.562.4 ÷ 100.592.4 ÷ 100.398.7 ÷ 100.597.0 ÷ 99.099.5 ÷ 101.5
Volumetric load
m3 m−3·h−1
average value ± SD84.0 ± 5.370.7 ± 18.984.5 ± 3.686.5 ± 0.885.1 ± 0.987.6 ± 0.95 ÷ 500 [38]
range76.0 ÷ 87.454.2 ÷ 87.480.4 ÷ 87.285.9 ÷ 87.484.3 ÷ 86.186.5 ÷ 88.3
Duration of gas contact with the filling layer
(s)
average value ± SD43 ± 354 ± 1443 ± 242 ± 142 ± 142 ± 130 ÷ 60 [1,38]
range41 ÷ 4741 ÷ 6641 ÷ 4541 ÷ 4241 ÷ 4341 ÷ 43
Filter bed thickness
(m)
range1.1 ÷ 1.21.1 ÷ 1.21.1 ÷ 1.21.1 ÷ 1.21.1 ÷ 1.21.1 ÷ 1.21 ÷ 1.5 [1,38,39]
* Values of parameters for each experimental phase are the arithmetic average of four measurement series (for CB and CBC) and three measurement series (for other phases of experiment). In all measurement series three parallel measurements were conducted.
Table 3. Hydraulic parameters of the studied pilot biofilter.
Table 3. Hydraulic parameters of the studied pilot biofilter.
Hydraulic Parameters of the Studied Pilot BiofilterCB *CBC *CB + MI *CBC + MI *CB + MII *CBC + MII *
flow rate
m3·h−1
average value ± SD382 ± 24322 ± 86385 ± 16394 ± 4387 ± 4399 ± 4
pressure drops in biofilter
(Pa)
average value ± SD379 ± 13596 ± 84536 ± 129683 ± 54469 ± 12617 ± 48
pressure drops on the membrane (Pa)average value ± SD--64 ± 2559 ± 228 ± 2563 ± 6
* There were four measurement series for CB and CBC and three measurement series for other phases of the experiment.
Table 4. VOC concentrations in raw and purified gases during single-stage purification with the application of two types of fillings–for each measurement series.
Table 4. VOC concentrations in raw and purified gases during single-stage purification with the application of two types of fillings–for each measurement series.
Experiment PhaseNumber of Measurement SeriesVOC in Raw Gases (ppb)VOC in Purified Gases (ppb)
Average Value ± SDRangeAverage Value ± SDRange
CB11130 ± 207940 ÷ 1350180 ± 9170 ÷ 200
21250 ± 1901060 ÷ 1440118 ± 9110 ÷ 130
3950 ± 90860 ÷ 1040122 ± 8110 ÷ 130
41220 ± 310910 ÷ 1530220 ± 11210 ÷ 230
Mean1138 ± 135950 ÷ 1250160 ± 49118 ÷ 220
CBC112500± 3902110 ÷ 289066 ± 850 ÷ 80
121970 ± 1901780 ÷ 216087 ± 780 ÷ 100
131500 ± 2301270 ÷ 1730269 ± 7260 ÷ 280
14980 ± 200780 ÷ 1180146 ± 10130 ÷ 160
Mean1738 ± 650980 ÷ 2500142 ± 9166 ÷ 269
Table 5. Technical parameters of the biofilter filling materials–values for each measurement series and mean values.
Table 5. Technical parameters of the biofilter filling materials–values for each measurement series and mean values.
Filter BedCB *CBC *Recommended Values
Moisture
(%)
min60,642.730–60 [14,37,38]
max66,350.5
mean ± SD63.4 ± 2.946.8 ± 3.4
pHmin6.757.276–9 [13,37,40]
max6.797.7
mean ± SD6.77 ± 0.027.44 ± 0.03
Total organic matter
(% d.m.)
min84.9740.61>40 [25,41]
max87.5347.79
mean ± SD85.97 ± 1.1044.96 ± 3.30
Specific surface
m2·g−1
min0.371.531–100 ** [39,40]
max0.671.8
mean ± SD0.55 ± 0.131.67 ± 0.11
Hydraulic diameter (mm)min34.86.7>4 [25,41]
max39.69.9
mean ± SD37.1 ± 2.08.7 ± 1.4
* Values of parameters for each measurement series are the arithmetic average of three parallel measurements. ** Range for different filling materials used in biofiltration.
Table 6. VOC concentrations in raw and purified gases during subsequent phases of two-stage biofiltration–for each measurement series.
Table 6. VOC concentrations in raw and purified gases during subsequent phases of two-stage biofiltration–for each measurement series.
Experiment PhaseNumber of Measurement SeriesVOC in Raw Gases (ppb)VOC in Purified Gases (ppb)
Average Value ± SDRangeAverage Value ± SDRange
CB + MI51400 ± 2701130 ÷ 1670125 ± 8110 ÷ 140
61170 ± 448670 ÷ 153512 ± 410 ÷ 20
7480 ± 130350 ÷ 61024 ± 520 ÷ 30
mean ± SD1017 ± 479480 ÷ 140054 ± 6212 ÷ 125
CB + MII89400 ± 17707630 ÷ 111701220 ± 111210 ÷ 1240
97700 ± 12006500 ÷ 8900283 ± 9270 ÷ 300
104700 ± 6004100 ÷ 530023 ± 520 ÷ 30
mean ± SD7267 ± 23804700 ÷ 9400509 ± 63023 ÷ 1220
CBC + MI15990 ± 170820 ÷ 116010 ± 0-
163300 ± 11802120 ÷ 4480147 ± 8140 ÷ 160
177680 ± 16905990 ÷ 9370127 ± 8110 ÷ 140
mean ± SD3990 ± 3398990 ÷ 768095 ± 7410 ÷ 147
CBC + MII181660 ± 1701490 ÷ 183050 ± 540 ÷ 60
191680 ± 1601520 ÷ 184020 ± 710 ÷ 30
201580 ± 710860 ÷ 228080 ± 770 ÷ 90
mean ± SD1640 ± 531580 ÷ 168050 ± 3020 ÷ 80

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Lelicińska-Serafin, K.; Rolewicz-Kalińska, A.; Manczarski, P. VOC Removal Performance of a Joint Process Coupling Biofiltration and Membrane-Filtration Treating Food Industry Waste Gas. Int. J. Environ. Res. Public Health 2019, 16, 3009. https://doi.org/10.3390/ijerph16173009

AMA Style

Lelicińska-Serafin K, Rolewicz-Kalińska A, Manczarski P. VOC Removal Performance of a Joint Process Coupling Biofiltration and Membrane-Filtration Treating Food Industry Waste Gas. International Journal of Environmental Research and Public Health. 2019; 16(17):3009. https://doi.org/10.3390/ijerph16173009

Chicago/Turabian Style

Lelicińska-Serafin, Krystyna, Anna Rolewicz-Kalińska, and Piotr Manczarski. 2019. "VOC Removal Performance of a Joint Process Coupling Biofiltration and Membrane-Filtration Treating Food Industry Waste Gas" International Journal of Environmental Research and Public Health 16, no. 17: 3009. https://doi.org/10.3390/ijerph16173009

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