DOI QR코드

DOI QR Code

The Safety Design of Corrosive Chemical Handling Process based on Reliability Database

신뢰도 데이터베이스 기반 부식성 화학물질 취급공정의 안전설계

  • Chu, Chang Yeop (Department of Safety Engineering, Korea National University of Transportation) ;
  • Baek, Jong Bae (Department of Safety Engineering, Korea National University of Transportation)
  • 추창엽 (한국교통대학교 안전공학과) ;
  • 백종배 (한국교통대학교 안전공학과)
  • Received : 2018.06.18
  • Accepted : 2018.08.27
  • Published : 2018.10.31

Abstract

In a PCB factory, there is a corrosive chemical substance supply system that can causes major leakage accidents. These accidents can give rise to shut down the factory and do residents damage that cause enormous loss of properties. To mitigate these risks, it is necessary to provide a chemical disaster prevention system. Moreover, after considering the situation and environment of the production site, it is of great importance to build an optimal chemical accident prevention system by reflecting risk reduction measures from the point of process design and by assessing quantitative risk based on reliability data. However, because there was no established database of the reliability about facilities and equipment that can be used in the domestic, the business site and consulting organization had being used the reliability data such as USA CCPS(Center for Chemical Process Safety). In these days, Korean institutes are studying on reliability data utilization method of quantitative risk assessment for preventing chemical accidents and domestic utilization algorithms and storage bed of reliability data. This study presents samples of reliability database about the chemical substance supply system that constructed from the history data such as failure, maintenance for 10 years at a PCB factory. Also, this work proposes the safety design criteria for supply facilities of corrosive chemical substance by assessing quantitative risk on the basis of the reliability data.

Keywords

References

  1. K. S. Park, "A Study on Consequence Analysis of Hydrofluoric Acid Release Accident in Gumi Industrial Area", Korean Journal of Hazardous Materials, Vol. 1, No. 1, pp. 13-19, 2013.
  2. OSHRI, An Application Plan of Reliability Data of Quantitative Risk Analysis for Prevention of Chemical Accident, pp. 43-52, 2015.
  3. OSHRI, The Development of Data Storage Bed and Algorithms Applicable to Korea for Reliability Data, pp. 48-58, 2016.
  4. CCPS, Layer of Protection Analysis_Simplified Process Risk Assessment (A CCPS Concept Book), Wiley-AIChE, 2001.
  5. CCPS, Guidelines For Process Equipment Reliability Data With Table, pp. 9-204,1989.
  6. IEEE, Reliability Data For Pumps And Drivers Valve Actuators And Valves, 1986.
  7. OREDA, Offshore Reliability Data Handbook 5th Edition. 2009.
  8. S. W. Hwang, Development of Web-based Reliability Data Analysis Algorithm Model and its Application, Annals of Nuclear Energy, pp. 43-62, 2009.
  9. Lees' Loss Prevention In The Process Industries, Fourth Edition Hazard Identification, Assessment And Control, Vol. 4, pp. 140-149, 2012.
  10. CCPS, Guidelines For Chemical Process Quantitative Risk Analysis, Vol. 2, pp. 297-322, 2010.
  11. CCPS, Guidelines For Improving Plant Reliability through Data Collection and Analysis, pp. 47-64, 1998.
  12. U. S. Nuclear Regulatory Commission, Guidelines on Modeling Common Cause Failure in Probabilistic Risk Assessment, pp. 13-75, 1998.
  13. IEC 61508-6, Guidelines on the Application of Parts 2 and 3, "Functional Safety of Electrical/Electronic/Programmable Electronic Safety-related Systems", pp. 24-39, 1997.
  14. J. H. Park, The Improvement of SIL Calculation Methodology, International Conference on Probabilistic Safety Assessment and Management, pp. 11-15, 2016.
  15. Guideline on Determining the Safety Integrity Level(SIL) in the Control System, p. 8, 2015.