DOI QR코드

DOI QR Code

수학적 모델과 폭발사고 모델링을 통한 산화에틸렌 공정의 설비 배치 최적화에 관한 연구

Study for the Plant Layout Optimization for the Ethylene Oxide Process based on Mathematical and Explosion Modeling

  • 차상훈 (부경대학교 안전공학과) ;
  • 이창준 (부경대학교 안전공학과)
  • Cha, Sanghoon (Department of Safety Engineering, Pukyong National University) ;
  • Lee, Chang Jun (Department of Safety Engineering, Pukyong National University)
  • 투고 : 2019.06.24
  • 심사 : 2019.11.07
  • 발행 : 2020.02.29

초록

In most plant layout optimization researches, MILP(Mixed Integer Linear Programming) problems, in which the objective function includes the costs of pipelines connecting process equipment and cost associated with safety issues, have been employed. Based on these MILP problems, various optimization solvers have been applied to investigate the optimal solutions. To consider safety issues on the objective function of MILP problems together, the accurate information about the impact and the frequency of potential accidents in a plant should be required to evaluate the safety issues. However, it is really impossible to obtain accurate information about potential accidents and this limitation may reduce the reliability of a plant layout problem. Moreover, in real industries such as plant engineering companies, the plant layout is previously fixed and the considerations of various safety instruments and systems have been performed to guarantee the plant safety. To reflect these situations, the two step optimization problems have been designed in this study. The first MILP model aims to minimize the costs of pipelines and the land size as complying sufficient spaces for the maintenance and safety. After the plant layout is determined by the first MILP model, the optimal locations of blast walls have been investigated to maximize the mitigation impacts of blast walls. The particle swarm optimization technique, which is one of the representative sampling approaches, is employed throughout the consideration of the characteristics of MILP models in this study. The ethylene oxide plant is tested to verify the efficacy of the proposed model.

키워드

참고문헌

  1. J. S. Yang and C. J. Lee, "The Research of Layout Optimization for LNG Liquefaction Plant to Save the Capital Expenditures", Korean Chemical Engineering Research, Vol. 57, No. 1, pp. 51-57, 2019.
  2. D. H. Lee and C. J. Lee, "The Plant Layout Optimization Considering the Operating Conditions", Journal of Chemical Engineering of Japan, Vol. 50, No. 7, pp. 568-576, 2017. https://doi.org/10.1252/jcej.16we363
  3. P. J. Park and C. J. Lee, "The Research of Optimal Plant Layout Optimization based on Particle Swarm Optimization for Ethylene Oxide Plant", J. Korean Soc. Saf., Vol. 30, No. 3, pp. 32-37, 2015. https://doi.org/10.14346/JKOSOS.2015.30.3.32
  4. L. G. Papageorgious and G. E. Rotstein, "Continuousdomain Mathematical Models for Optimal Process Plant Layout", Industrial and Engineering Chemistry Research, Vol. 37, No. 9, pp. 3631-3639, 1998. https://doi.org/10.1021/ie980146v
  5. F. D. Penteado, A. T. Ciric, “An MINLP Approach for Safe Process Plant Layout,” Industrial and Engineering Chemistry Research, Vol. 35, No. 4, pp. 1354-1361, 1996. https://doi.org/10.1021/ie9502547
  6. C. M. L. Castell, R. Lakshmanan, J. M. Skilling and R. Baiiares-Alcdntara, "Optimisation of Process Plant Layout using Genetic Algorithms", Computers and Chemical Engineering, Vol. 22, pp. 993-996, 1998. https://doi.org/10.1016/S0098-1354(98)00198-7
  7. D. I. Patisiatzis, G. Knight and L. G. Papageorgiou, "An MILP Approach to Safe Process Plant Layout", Chemical Engineering Research and Design, Vol. 82, No. 5, pp. 579-586, 2004. https://doi.org/10.1205/026387604323142612
  8. K. Han, S. Cho and E. S. Yoon, "Optimal Layout of a Chemical Process Plant to Minimize the Risk to Humans", Procedia Computer Science, Vol. 22, pp. 1146-1155, 2013. https://doi.org/10.1016/j.procs.2013.09.201
  9. K. T. Park, J. M. Koo, D. I. Shin, C. J. Lee and E. S. Yoon, "Optimal Multi-floor Plant Layout with Consideration of Safety Distance based on Mathematical Programming and Modified Consequence Analysis", Korean Journal of Chemical Engineering, Vol. 28, No. 4, pp. 1009-1018, 2011. https://doi.org/10.1007/s11814-010-0470-6
  10. S. -H. Leem, J. -R. Lee and Y. -J. Huh, "A Study on Estimation of Structure Damage caused by VCE", J. Korean Soc. Saf., Vol. 22, No. 5, pp. 65-70, 2007.
  11. S. Hoiset, B. H. Hjertager, T. Solberg and K. A. Malo, "Flixborough Revisited - An Explosion Simulation Approach", Journal of Hazardous Materials, Vol. 77, pp. 1-9, 2000. https://doi.org/10.1016/S0304-3894(00)00197-7
  12. J. Li, G. Ma, H. Hao and Y. Huang, "Optimal Blast Wall Layout Design to Mitigate Gas Dispersion and Explosion on a Cylindrical FLNG Platform", Journal of Loss Prevention in the Process Industries, Vol. 49, pp. 481-492, 2017. https://doi.org/10.1016/j.jlp.2017.05.025
  13. M. Schwaab, E. C. Biscaia, J. L. Monteiro and J. C. Pinto, "Nonlinear Parameter Estimation through Particle Swarm Optimization", Chemical Engineering Science, Vol. 63 No. 6, pp. 1542-1552, 2008. https://doi.org/10.1016/j.ces.2007.11.024
  14. KOSHA, Technical Guidelines for the Safety of Ethylene Oxide Handling, 2018.
  15. U.S. Government Printing Office, Protection of Environment, 2008.