DOI QR코드

DOI QR Code

석유 부산물의 물리화학적 분석을 통한 화재폭발 특성연구

A Study on Fire Explosion Characteristics via Physico-chemical Analysis of Petroleum Residues

  • Kim, Hyeonggi (Korea Fire Safety Institute) ;
  • Lee, Young-Seak (Department of Chemical Engineering and Applied Chemistry, Chungnam National University)
  • 투고 : 2019.07.30
  • 심사 : 2019.08.08
  • 발행 : 2019.10.10

초록

본 연구에서는 석유 부산물인 열분해잔사유의 화재, 폭발특성을 파악하기 위하여 그 물리 화학적 분석을 실시하고 주요 성분을 선정하였다. GC-SIMDIS 및 MALDI-TOF 분석을 통해 열분해잔사유의 주요 성분 분포영역을 확인하였으며, GC-MS 분석을 통해 주요 성분 분포영역에 대한 정성분석을 실시하였다. 아울러 EA, SARA, TGA 등 다양한 분석결과를 바탕으로 열분해잔사유의 주요 성분을 선정하였다. 그 결과 benzene, toluene, xylene을 주요 성분을 선정하여 PHAST 분석을 통한 화재 폭발 시 최대 피해영향범위를 고찰하였다. Toluene은 제트 화재 발생 시 $227kW/m^2$의 복사열 및 118 m의 영향범위를 나타내어 가장 높은 위험성을 보였으며, xylene과 benzene은 각각 114와 $151kW/m^2$의 최대 복사열 수치를 나타내었다, 또한, pasquill 안정도 및 풍속에 따른 피해영향범위를 분석한 결과 benzene에서 풍속에 따라 최대 55% 이상의 복사열이 증가함을 확인하였으며, 이는 영향범위를 증가시키는 주요인자인 것으로 여겨졌다.

In this study, the physical and chemical analyses of petroleum residues (pyrolized fuel oil, PFO) were conducted and major components were selected to investigate their fire and explosion characteristics. Major component distribution areas of the PFO were identified via the GC-SIMDIS and MALDI-TOF analyses. In addition, the qualitative analysis of major component distribution areas was performed by GC-MS analysis. Major components of pyrolysis residue were selected based on the results of various analyses such as EA, SARA and TGA. As a result, benzene, toluene and xylene were selected as major components. Finally, the process hazard analysis software tool (PHAST) analysis was performed to investigate the range of maximum damage effect in case of fire and explosion. Toluene presented the highest risk due to the radiation effect of $227kW/m^2$ and 118 m in the case of jet fire. Xylene and benzene showed the maximum radiant heat values of 114 and $151kW/m^2$, respectively. It was also confirmed from the analysis of pasquill stability and wind speed that the radiant heat increased up to 55% according to wind speed in benzene, which was considered to be a main factor increasing the influence range.

키워드

참고문헌

  1. K. Lee, H. M. Kwon, S. Cho, J. Kim, and I. Moon, Improvements of safety management system in Korean chemical industry after a large chemical accident, J. Loss Prev. Process Ind., 42, 6-13 (2016). https://doi.org/10.1016/j.jlp.2015.08.006
  2. H. Y. Lim, K. S. Um, and S. H. Jung, A study on effective mitigation system for accidental toxic gas releases, J. Loss Prev. Process Ind., 49, 636-644 (2017). https://doi.org/10.1016/j.jlp.2017.05.017
  3. K. O. Lee, J. Y. Park, and C. J. Lee, Evaluation of a mitigation system for leakage accidents using mathematical modeling, Korean J. Chem. Eng., 35(2), 348-354 (2018). https://doi.org/10.1007/s11814-017-0288-6
  4. J. H. Kim, J. G. Kim, C. W. Lee, K. B. Lee, and J. S. Im, Effect of added mesophase pitch during the pitch synthesis reaction of PFO, Carbon lett., 23, 48-54 (2017). https://doi.org/10.5714/CL.2017.23.048
  5. J. G. Kim, J. H. Kim, B-J. Song, C. W. Lee, and J. S. Im, Synthesis and its characterization of pitch from pyrolyzed fuel oil (PFO), J. Ind. Eng. Chem., 36, 293-297 (2016). https://doi.org/10.1016/j.jiec.2016.02.014
  6. J. G. Kim, J. H. Kim, J. S. Im, Y-S. Lee, and T-S. Bae, Empirical study of petroleum-based pitch production via pressure- and temperature-controlled thermal reactions, J. Ind. Eng. Chem., 62, 176-184 (2018). https://doi.org/10.1016/j.jiec.2017.12.055
  7. J. G. Kim, J. H. Kim, B-J. Song, C. W. Lee, Y-S Lee, and J. S. Im, Empirical approach to determine molecular weight distribution using MALDI-TOF analysis of petroleum-based heavy oil, Fuel, 186, 20-23 (2016). https://doi.org/10.1016/j.fuel.2016.08.052
  8. B. C. Bai, J. G. Kim, J. H. Kim, C. W. Lee, Y-S. Lee, and J. S. Im, Blending effect of pyrolyzed fuel oil and coal tar in pitch production for artificial graphite, Carbon lett., 25, 78-83 (2018). https://doi.org/10.5714/CL.2018.25.078
  9. J. G. Kim, J. H. Kim, B-J. Song, Y. P. Jeon, C. W. Lee, Y-S Lee, and J. S. Im, Characterization of pitch derived from pyrolyzed fuel oil using TLC-FID and MALDI-TOF, Fuel, 167, 25-30 (2016). https://doi.org/10.1016/j.fuel.2015.11.050
  10. J. H. Kim, J. G. Kim, K. H. Lee, and J. S. Im, Effects of pressure-controlled reaction and blending of PFO and FCC-DO for mesophase pitch, Carbon lett., 29, 203-212 (2019). https://doi.org/10.1007/s42823-019-00022-2
  11. J. Wang, T. Wang, X. Hou, and F. Xiao, Modelling of rheological and chemical properties of asphalt binder considering SARA fraction, Fuel, 238, 320-330 (2019). https://doi.org/10.1016/j.fuel.2018.10.126
  12. W. F. Edwards, L. Jin, M. C. Thise, MALDI-TOF mass spectrometry: Obtaining reliable mass spectra for insoluble carbonaceous pitches, Carbon, 41, 2761-2768 (2003). https://doi.org/10.1016/S0008-6223(03)00386-5
  13. K. Zhou, J. Liu, and J. Jiang, Prediction of radiant heat flux from horizontal propane jet fire, Appl. Therm. Eng., 105, 634-639 (2016).
  14. H. Shui, Y. Feng, B. Shen, and J. Gao, Kinetics of mesophase transformation of coal tar pitch, Fuel Process. Technol., 55, 153-160 (1998). https://doi.org/10.1016/S0378-3820(98)00038-1
  15. M. R. Shishesaz, M. N. Bajestani, S. J. Hashemi, and E. Shekari, Comparison of API 510 pressure vessels inspection planning with API 581 risk-based inspection planning approaches, Int. J. Press. Vessels Piping, 111-112, 202-208 (2013). https://doi.org/10.1016/j.ijpvp.2013.07.007