Journal of Korean Society of Occupational and Environmental Hygiene (한국산업보건학회지)

Korean Industrial Hygiene Association (한국산업보건학회)
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Development of a Theoretical Model for Predicting Contaminant Concentrations in a Multi-zone Work Environment

다구획 작업환경에서의 오염농도 예측을 위한 이론적 모델의 개발

  • Cho, Seok-Ho (Department of Environmental Administration, Catholic University of Pusan)
  • 조석호 (부산가톨릭대학교 환경행정학과)
  • Received : 2011.07.19
  • Accepted : 2011.12.19
  • Published : 2011.12.31
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Abstract

To predict contaminant concentrations within a multi-zone work environment, an air quality model in the work environment was developed. To do this, airflow equations on the basis of orifice equation were solved by using the Conte and De Boor scheme, and then equations for the conservation of mass on contaminant were solved by using the fourth-order Runge-Kutta algorithm. To validate the accuracy of simulated results, this model was applied to the controlled environment chamber that had been tested in 1998 by Chung KC. The comparison of predicted concentrations by this study with measured concentrations by the Chung KC indicated that the average deviations were 2.66, 3.35, and 3.15% for zone 1, zone 2, and zone 3, respectively. Also, this model was applied to a working plant with four zones. Thus, the results of contaminant concentration versus time were predicted according to the schedule of the openings operation, and case studies were done for four cases of the openings operation to investigate the interaction of airflow and contaminant concentration. The results indicated that opening operation schedules had a significant effect on contaminant removal efficiency. Therefore, this model might be able to apply for the design of ventilation schedules to control contaminants optimally.

Keywords

Acknowledgement

Supported by : 부산카톨릭대학교

References

  1. 조석호. 실내공기환경 예측을 위한 통합 다구획 모델의 개발. 한국환경과학회지 2006; 17 (9): 993- 1003
  2. 조석호. 외기상태의 변화에 따른 실내 환경인자의 민감 도 분석. 한국환경과학회지 2010; 19 (2): 125-136
  3. Carnahan B, Luther HA, Wilkes JO. Applied numerical Methods. John Wiley & Sons, INC. 1969: 361-380
  4. Chung KC. Development and validation of a multizone model for overall indoor air environment prediction. HVAC & R Research 1996; 2 (4): 376- 385 https://doi.org/10.1080/10789669.1996.10391355
  5. Chung KC. Airborne contaminant exposure control in a partitioned work environment by exhaust ventilation systems. AIHA Journal 1998; 59: 346-352 https://doi.org/10.1080/15428119891010604
  6. Conte SD,De Boor C. Elementary numerical analysis, an algorithmic approach. McGraw-Hill 1972:88
  7. Mark N. Estimating exposure intensity in an imperfectly mixed room. AIHA Journal 1996; 57: 542-550 https://doi.org/10.1080/15428119691014756
  8. Michael AJ, Deepak RD, Edwin HN, William DS. Development and evaluation of a source/sink model of indoor air concentrations from isothiazolone-treated wood used indoors. Am. Ind. Hyg. Assoc. J. 1995; 56: 546-557 https://doi.org/10.1080/15428119591016773
  9. Ohira N, Yagawa N, Gotoh N. Development of a measurement system for multizone infiltration. ASHRAE Transactions 1993; 99: 692-698
  10. Shair FH, Heitner KL. Theoretical model for relating Indoor Pollutant concentrations to those outside. Environ. Sci. Tech. 1974; 8: 441-451 https://doi.org/10.1021/es60090a005
  11. Walton GN. Airflow and multiroom thermal analysis. ASHRAE Transactions 1982; 88 (2): 78-91
  12. Walton GN. A computer algorithm for prediction infiltration and interoom airflows. ASHRAE Transactions 1984; 90 (1B): 601-610
  13. Walton GN. Airflow network models for element- based building airflow modeling. ASHRAE Transactions 1989; 95 (2): 611-620
  14. Waters JR, Simons MW. The evalution of contaminant concentrations and airflows in a multizone model of a building. Building and Environment 1987; 22 (4): 305-315 https://doi.org/10.1016/0360-1323(87)90023-0
  15. Zhang JS. Combined heat, air, moisture, and pollutants transport in building environmental systems. JSME international Journal Series B 2005; 48 (2): 182-190 https://doi.org/10.1299/jsmeb.48.182