RISK ASSESSMENT OF LIQUID CO₂ PRODUCTION USING HAZOP IN THE FERTILIZER INDUSTRY
Keywords:
HAZOP, Risk Assessment, Liquid CO₂, Process Safety, Fertilizer IndustryAbstract
Risk identification and analysis are crucial aspects of process safety management in the chemical industry. This study applies the Hazard and Operability Study (HAZOP) method to identify potential hazards and operability issues in. The HAZOP method involves decomposing the system into nodes and applying guiding keywords to stimulate deviations from design parameters and normal operations. Each identified deviation is then evaluated to determine potential causes, consequences, and recommendations for mitigation actions. This analysis aims to provide a comprehensive understanding of the risks that may arise, including risks to safety, health, the environment, and financial losses. The results of this HAZOP study are expected to be the basis for developing effective risk control measures, improving system design, and developing safer operating procedures, thereby contributing to incident prevention and improving overall safety performance.
References
Agency, I. A. E. (1993). Use of probabilistic safety assessment for nuclear installations with large inventory of radioactive material June
Agency, I. A. E. (2002). Procedures for conducting probabilistic safety assessment for non reactor nuclear facilities (IAEA TECDOC1267). January. https://www-pub.iaea.org/MTCD/Publications/PDF/te_1267_prn.pdf
Agency, I. A. E. (2010). Licensing Process for Nuclear Installations.
Ali, M., Ul-Hamid, A., Alhems, L. M., & Saeed, A. (2020). Review of common failures in heat exchangers–Part I: Mechanical and elevated temperature failures. Engineering Failure Analysis,109 (December 2018), 104396. https://doi.org/10.1016/j.engfailanal.2020.104396
Badan Tenaga Nuklir Nasional. (2019). BATAN Standard guidance 006
–1–BATAN:2019. In Batan. Bragatto, P., & Milazzo, M. F. (2016). Risk due to the ageing of equipment: Assessment and management. Chemical Engineering Transactions, 53 (September), 253–258. https://doi.org/10.3303/CET1653043
Donald Coffelt; Chris Hendrickson. (2021). Failure Rates and Survival Probabilities. In Fundamentals of Infrastructure Management
Efremenkov, V. . (1989). Radioactive waste management of nuclear power plants. IAEA Bulletin, 4, 37–42.
Fatma, N. F., Ponda, H., & Kuswara, R. A. (2020). Analisis Preventive Maintenance Dengan Metode Menghitung Mean Time Between Failure (Mtbf) Dan Mean Time To Repair (Mttr) (Studi Kasus Pt. Gajah Tunggal Tbk). Heuristic, 17 (2), 87–94.
https://doi.org/10.30996/heuristic.v17i2.4648
Håbrekke, S., Bodsberg, L., Hokstad, P., & Ersdal, G. (2011). Issues for consideration in life extension and managing ageing facilities.
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering-OMAE, 3 (July 2014), 173 –182.https://doi.org/10.1115/OMAE2011-49261
Health and Safety Executive. (2014). Risk Assessment: A Brief Guide To Controlling Risks In The Workplace. Toxicologic Pathology. www.hse.gov.uk/pubns/indg163.htm
Henrique, A., Melani, A., Alberto, C., Caminada, A., Francisco, G., Souza, M. De, & Ikuyo,S. (2018). Criticality-based maintenance of a coal-fired power plant. 147.
Hutter,G.M.(2007). Interlocks as machine safety devices. https://www.thefabricator.com/thefabricator/article/safety/interlocks-as-machine-safety-devices
Kościelny, J. M., Syfert, M., Fajdek, B., & Kozak, A. (2017). The application of a graph of aprocess in HAZOP analysis in accident prevention system. Journal of Loss Prevention in the Process Industries,50, 55–66. https://doi.org/10.1016/j.jlp.2017.09.003
Kotek, L., & Tabas, M. (2012). HAZOP study with qualitative risk analysis for prioritization of corrective and preventive actions.
Procedia Engineering, 42 (August), 808–815. https://doi.org/10.1016/j.proeng.2012.07.473
Meng, Y., Song, X., Zhao, D., & Liu, Q. (2021). Alarm management optimization in chemical installations based on adapted HAZOP reports. Journal of Loss Prevention in the Process Industries, 72
(January). https://doi.org/10.1016/j.jlp.2021.104578
Mokhtarname, R., Safavi, A. A., Urbas, L., Salimi, F., Zerafat, M. M., & Harasi, N. (2022).Application of multivariable process monitoring techniques to HAZOP studies of complex processes. Journal of Loss Prevention in the Process Industries, 74 (October 2021), 104674. https://doi.org/10.1016/j.jlp.2021.104674
Nguyen, H. T., Safder, U., Kim, J. I., Heo, S. K., & Yoo, C. K. (2022). An adaptive safety-risk mitigation plan at process-level for sustainable production in chemical industries: Anintegrated fuzzy-HAZOP-best -worst approach. Journal of Cleaner Production,339 (February 2021), 130780. https://doi.org/10.1016/j.jclepro.2022.130780
Okoshi, M., & Momma, T. (2015). Radioactive Waste Treatment Technologies. In S. Nagasaki & S. Nakayama (Eds.), Radioactive Waste Engineering and Management (pp. 119–151). Springer Japan. https://doi.org/10.1007/978-4-431-55417-2_5
RADIOAKTIF, P. T. L. (2017). Laporan Analisis Keselamatan Instalasi Pengolahan Limbah Radioaktif.
Suzuki, T., Izato, Y. ichiro, & Miyake, A. (2021). Identification of accident scenarios caused by internal factors using HAZOP to assess an organic hydride hydrogen refueling station involving methylcyclohexane. Journal of Loss Prevention in the Process Industries,71 (April 2020), 104479. https://doi.org/10.1016/j.jlp.2021.104479
