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![]() Engineering, 2013, 5, 42-46 http://dx.doi.org/10.4236/eng.2013.510B009 Published Online October 2013 (http://www.scirp.org/journal/eng) Copyright © 2013 SciRes. ENG Indoor Air Quality Study on Fiber Glass Industry Amir Alhaddad, Baderiya Al-Abdulmohsin Chemical Engineering Department, Kuwait University, Kuwait City, Kuwait Email: a [email protected] du.kw, [email protected] Received October 2012 ABSTRACT The most hazardous chemical used in fiber glass industry are: formaldehyde, ph enol and ammonia. The chemicals were monitored in an industry in Kuwait to investigate the indoor air quality of the facility. It was found that all these chemi- cals were within the OSHA standards but formaldehyde exceeded KEPA standards (0.1 ppm) in the curing area. It was found that lower density of fiber glass product leads to higher concentration of pollutants in the atmosphere and vise versa. Moreover, higher thickness causes higher concentration of pollutants in the atmosphere. Keywords: Indoor Air Quality; Fiber Gl a ss In d us t ry; Hazardous Pollutants 1. Introduction Indoor air quality (IAQ) is defined as the nature of air that affects the health and well-being of occupants. It differs from industrial ind icators of acceptability, such as threshold limit values, as the latter primarily reflect con- cern for control of potential hazards. A more technical definition of IAQ is related to how well indoor air satis- fies the three basic requirements for human occupancy which are thermal acceptability, maintenance of normal concentrations of respiratory gases; and dilution and re- moval of contaminants to levels below health or odour discomfort thresholds. The following is a brief review of recent studies related to indoor air quality conducted in Kuwait and around the world. Yassin et al. [4] meas- ured concentrations of PM2.5 at indoor settings in several houses with various residential mediums in Kuwait. Data were collected by using a Dust-Trak personal sampler over 24 hours. The places included kitchen, living room, and bedrooms in all studied houses. It was found that the concentrations of PM2.5 were higher than the EPA daily NAAQS in the kitchen and living rooms where the lower concentrations were recorded in the bedrooms. These results reflect bad effect on human health in Kuwait in compared with houses in the United States, the United Kingdom and Greece. Al-Rashidi et al. [2] investigated the impact of ventilation modes on carbon dioxide con- centrations in Kuwait classrooms. The levels of CO2 were measured during natural and air conditioned venti- lation modes. The study conducted inside 10 elementary- level classrooms for children in the 6 - 10 years age in three schools. The obtained data showed that the concen- trations of CO2 with air conditioned operation were higher than concentrations during natural ventilation. The concentrations of CO2 exceeded the recommended stan- dards that some strategies and arrangements should be taken to reduce the CO2 levels to allowable limits. Boh- landt et al. [1] measured concentrations of the trace met- als cerium (Ce), anthanum (La) and cadmium (Cd) in indoor air with high Environmental tobacco smoke load. The samples were collected in 3 smokers and 7 nonsmo- kers’ households in addition to 28 hospitals in Southern Germany. Data was conducted continuously for seven days in every season in th e houses and for 4 hours during the main visiting hours in the hospitals. Analysis of all measured values showed that high concentrations of Ce and La were found in smokers’ households and hospitals which were above the international indoor air quality standards. Fiedoruk [3] examined indoor air quality in- side the cabin of an airplane occupied 150 passengers on board. The concentration of CO2, air temperature, pres- sure and humidity were measured during the flight that lasted three hours. Results showed that the concentration of CO 2 was higher than international standards. Penpatra et al. [5] studied the effects of exposure to glass microfi- bers on respiratory and skin symptoms, asthma and lung functions. The study included 102 workers from four microfiber factories in Thailand. The workers answered questionnaire on respiratory health, occupational expo- sures and life style factors and performed spirometry. The dust concentrations were monitored in the air of factories during 2004 and 2005 by the gravimetric analy- sis method (NIOSH method 0600). Results showed that exposure to glass microfibers increase the risk of the res- piratory and skin symptoms. On the other hand, exposure to sensitizing chemicals increased the risk of cough and nasal symptoms. Sait et al. [6] assessed health risks of ![]() A. ALHADDAD, B. AL-ABDULMOHSIN Copyright © 2013 SciRes. ENG 43 volatile organic compounds in three primary schools in Izmi r, Turkey. Primary schools accommodate children aged 7 - 14 for about 5 - 8 hours daily. Concentrations of VOCs were measured in spring, winter, and fall terms. A thermal desorption—GC-MS system was used to analyze VOCs where Formaldehyde analysis was performed us- ing an HPLC instrument. A health risk assessment was performed to detect odours, sensory irritation, chronic toxic effects and cancer. Results showed that Formalde- hyde appears to be the pollutant of greatest concern with high chronic toxic and carcinogenic risk based on the health assessment followed by naphthalene, benzene, toluene because of their chronic effects. Due to the nature of the fiber glass industry; involving the use of hazardous materials, it is essential to undergo an indoor air quality study to monitor the surrounding pollutants. In the present study the primary objective of IAQ is to ensure that the potential env ironmental impacts of the industry are identified, and considered during the running process. This is done by first studying the over overall process and identifying the major areas of con- cern. These areas are monitored and the environmental impacts studied and analyzed to formulate a suitable and effective solution for any problems if identified. As well as provide well-documented information to Kuwait’s EPA for evaluation and approval for environmental com- pliance. Finally, this study concentrated on chemical pol- lutants rather than particulate matters because PM stu- died extensively in a previous study. 2. Data Collection Data were collected in this study by using UV Sentry equipment. It consists of an ultra violet light generated from a source, usually deuterium or xenon lamp. The light is emitted through the area to a receiver where it is collected and concentrated using standard telescope op- tics. Once inside the spectrometer, the light is broken out into its various wavelengths by sending it through a ho- lographic grating. The light then hits the CCD array which in turn charges the capacitor. The capacitors are discharged at a sample rate set by the user and the light signal at each light frequency is proportional to the total charge of each capacitor. The concentrated light is then passed through an input lens into the spectrometer via a fiber optic coupling. The data were measured over a period of three months and divided into two periods, the first period was from 1/Jan/2012 to 16/Feb/2012 and the second period was from 17/Feb/2012 to end of March. The pollutants that have been monitored were Ammonia, Formaldehyde, and Phenol. The device was placed in 5 different areas throughout the process line and in each area data were collected for 5 days, this was done twice (two rounds), which accumulated to a total of three months. The va- riables that remained constant during the experiment were the height and the duration of time which was 5 days. The height was maintained at 1.75 m from plat- form/ground level which is equivalent of the height of the average adult male. The distance between the sender and the emitter are shown within the Table 1. Once the raw data has b een collected, all records were compiled into one file with special coding for each loca- tion to distinguish between records. The raw data was then transferred to SPSS software for statistical analysis and proce s sed throu gh 3 steps . 3. Statistical Analysis This part is about introducing and summarizing the col- lected data using some statistical tools such as mean, median, variance, skewness, upper quartile, lower quar- tile. Tables 2 and 3 describe the overall statistics for the collected data in general. A total of 8024 data points were collected for each pollu tant. Data p oints that d id no t “pass” a statistical were eliminated from the study. As it is clear from the Figure 1, the more density sizes the less concentration of Ammonia values. Also, the fig- ure shows that the variation of the data is decreasing when the density size is increasing as indicated by the length of the whisker of the box-plot. So, the figure as- sures that the more density size the less concentration of Ammonia. As it is clear from Figure 2, the more thickness sizes the more concentration of Ammonia values. Also, the figure shows that the variation of the data is decreasing when the thickness is increasing as indicated by the length of the whisker of the box-plot. So, the figure as- sures that the more thick sizes the more concentration of Ammonia. 4. Comparison against KEPA and OSHA Standards To assess the indoor air quality the concentrations of ammoni a, a formaldehyde and phenol pollutants were compared against local and international standards (KEPA and OSHA). The comparison was made for the measured Table 1. List of locations measured with distance between sender and emitter of UV Sentry. Area Location Distance 1 Forming area 30 meters 2 Curing oven inlet 14 meters 3 Curing oven outlet 14 meters 4 Chopper area 15 meters 5 Packing 35 meters ![]() A. ALHADDAD, B. AL-ABDULMOHSIN Copyright © 2013 SciRes. ENG 44 Table 2. Overall descriptive statistics for study variables. Pollutants N Min i mu m M ax i mum Statistic Statistic Statistic Ammonia 9367 0.00 3.38 Formaldehyde 10153 0.00 3.27 Phenol 10301 0.016 0.197 Table 3. Overall descriptive statistics for study variables. Pollutants Mean Variance Skewness Statistic Std. Error Statistic Statistic Std. Error Ammonia 0.7988 0.0085 0.681 1.402 0.025 Formaldehyde 1.0420 0.0074 0.552 0.440 0.024 Phenol 0.0457 0.00024 0.001 1.480 0.024 Figure 1. Box-plot change for Ln of Ammonia based on density size. Figure 2. Box-plot change for Ln of Ammonia based on thickness size. data from January 201 2 till April 2012. Kuwait regulations KEPA and OSHA standards limit ammonia in the indoor environment to be 35 ppm and 15 ppm respectively for 15 minute exposure. From Figure 3 obtained in this study it is evident that all areas showed that ammonia levels are within both KEPA and OSHA Density (kg/m3) Density (kg/m3) Density (kg/m3) Figure 3. Concentrations of Ammonia in the study loca- tions. regulations. In curing oven outlet and forming area loca- tions ammonia averages at approximately 2 ppm for all densities. Moreover, these areas are exposed and are lia- ble to fumes while the lowest average readings for am- monia was observed in packing area. This was expected ![]() A. ALHADDAD, B. AL-ABDULMOHSIN Copyright © 2013 SciRes. ENG 45 since the packing is found at the end of the process line and the product has cooled do wn leading to lower binder volatility within the product. Formaldehyde is considered one of the main pollutants in this industry due to its severe health hazards. However standards differ between KEPA and OSHA with 0.1 ppm and 2 ppm respectively. This huge difference between regulations may create conflict in the discussion of the results. The highest concentration of formaldehyde was found in chopper area with a maximum of 2.55 ppm and averaging at 2 ppm. The concentrations of in curing oven outlet and forming area were 1.82 ppm and 1.9 ppm re- spectively as shown in Figure 4. The concentrations al- though barely below OSHA regulations, they are much higher than KEPA regulations. The Lowest concentra- tions were found in packing area, as in the case of other component analysis. Although concentrations at curing oven and forming area were within OSHA standards, these areas are prone to high concentrations due to the possibility of further reactions taking place because of the nature of these process areas. Both KEPA and OSHA standards require phenol le- vels to be under 5 ppm for an 8hr average. In all ar eas as shown in Figure 5, phenol levels were observed to be significantly less than 5 ppm. A maximum concentration of 0.139 ppm of Phenol was recorded in forming area Density (kg/m3) Density (kg/m3) Figure 4. Concentrations of formaldahyde in the study loca- tions. Density (kg/m3) Density (kg/m3) Figure 5. Concentrations of phenol in the study locations. and a low of 0.028 ppm. The lowest concentration of phenol was found in packing area, with an average of 0.022 ppm for all densities. 5. Conclusion Indoor air quality of fiber glass industry investig ates met OSHA standards for the pollutants studied; formaldehyde, phenol and ammonia. Formaldehyde exceeded KEPA standards in the curing area. These standards are under revision in Kuwait and the new standards will be out in mid 2013. The curing (reactor) area in the fiber glass industry is the point of highest pollutants concentration and can be used as reference to monitor IAQ of the facil- ity. The source of hazardous pollutants in the fiber glass industry is the “binder” used to produce the final product. The higher the density, the lower pollutants concentra- tion in the air (pollutants are captured in the product). The higher the thickness (lower concentration), the high- er the pollutants in the air. 6. Acknowledgements This rese a rch was supported by the Kuwait Universit y. REFERENCES [1] A. Prüss-Ustün, C. Vickers, P. Haefliger and R. Bertollini, “Knowns and Unknowns on Burden of Disease Due to ![]() A. ALHADDAD, B. AL-ABDULMOHSIN Copyright © 2013 SciRes. ENG 46 Chemicals: A Systematic Review,” Environmental Health, Vol. 10, 2011, p. 9. http://dx.doi.org/10.1016/j.scitotenv.2011.11.017 [2] A. Bohlandt, R. Schierl, J. Diemer, C. Koch, G. Bolte, M. Kiranoglu, H. Fromme and D. Nowa k , “High Concentra- tions of Cadmium, Cerium and Lanthanum in Indoor Air Due to Environmental Tobacco Smoke,” Science of the Total Environment, Vol. 414, 2012, pp. 738-741. http://dx.doi.org/10.1016/j.scitotenv.2011.11.017 [3] E. Gallego, X. Roca, J. F. Perales and X. Guardino, “De- termining Indoor Air Quality and Identifying the Origin of Odour Episodes in Indoor Environments,” Journal of Environmental Sciences, Vol. 21, 2009, pp. 33-339. http://dx.doi.org/10.1016/S1001-0742(08)62273-1 [4] K. G1adyszewska-Fiedoruk, “Indoor Air Quality in the Cabin of an Airliner,” Journal of Air Transport Manage- ment, Vol. 20, 2012, pp. 28-30. [5] K. Al-Rashidia, D. Lovedaya and N. Al-Mutawab, “Im- pact of Ventilation Modes on Carbon Dioxide Concentra- tion Levels in Kuwait Classrooms,” Energy and Buildings, Vol. 47, 2012, pp. 540-549. http://dx.doi.org/10.1016/j.enbuild.2011.12.030 [6] M. Yassin, B. AlThaqeb and E. Al-Mutiri, “Assessment of Indoor PM2.5 in Different Residential Environments,” Atmospheric Environment, Vol. 56, 2012, pp. 65-68. http://dx.doi.org/10.1016/j.atmosenv.2012.03.051 [7] P. Sripaiboonkij, N. Sripaiboonkij, W. Phanprasit and M. S. Jaakkola, “Respiratory and Skin Health among Glass Microfiber Production Workers: A Cross-Sectional Stu- dy,” Environmental Health, Vol. 8, 2009, p. 36. http://dx.doi.org/10.1186/1476-069X-8-36 [8] S. C. Sofuoglua, G. Aslanb, F. Inal and A. Sofuoglua, “An Assessment of Indoor Air Concentrations and Health Risks of Volatile Organic Compounds in Three Primary Schools,” International Journal of Hygiene and Envi- ronmental Health, Vol. 214, 2001, pp. 36-46. http://dx.doi.org/10.1016/j.ijheh.2010.08.008 |






