Quantitative resilient investigation using RIPSHA approach and ANOVA validation for the ammonia storage unit

Abstract

Ammonia is one of the most widely used chemicals in the processing industry. It is used as a refrigerant and substrate in various process fields. Almost every unit operation uses ammonia, and the storage and handling of ammonia require special attention in terms of inherent system safety. Controlling the catastrophic release of ammonia from the installed facility is a challenging process. In this paper, the resilient nature of the ammonia storage area in a fertilizer manufacturing plant in the southern part of the Indian subcontinent was considered. The resilience of the ammonia storage area is analyzed using the Resilience‐based Integrated Process System Hazard Analysis and statistically validated using one‐way analysis of variance (ANOVA). With the ANOVA validation method, the f‐values of subsystems are endorsed at a significance level of 0.05 both before and after recommendations were made. After implementing the statistically validated recommendations, the risk of each subsystem is significantly reduced. It has been determined that subsystems, namely process safety systems, operator/human hazards, and operational discipline require, immediate attention.

Safety Assessment of the Ammonia Bunkering Process in the Maritime Sector: A Review

“…Therefore, the grid number should be selected while keeping the simulation time, computational cost, and simulation accuracy balanced. The algorithm in Figure 7 below describes a procedure for risk analysis using riskbased methods similar to those seen in [78][79][80][81][82][83]. According to typical studies on the modeling of ammonia leakage and release [64][65][66][67][68][69][70][71][72][73][74][75][76][77], the common algorithmic diagram for the computational analysis of ammonia leakage is shown in Figure 5, and the computational algorithm and procedure are presented in Figure 6.…”

“…Therefore, the grid number should be selected while keeping the simulation time, computational cost, and simulation accuracy balanced. The algorithm in Figure 7 below describes a procedure for risk analysis using riskbased methods similar to those seen in [78][79][80][81][82][83].…”

Risk assessment of liquid ammonia tanks based on Bayesian network and Probit model

“…Luo et al used RAST software to evaluate the release of ammonia 21 . Rathinam et al analyzed the resilience of the ammonia storage area using the Resilience‐based Integrated Process System Hazard Analysis and statistically validated using one‐way analysis of variance (ANOVA) 22 . Reference [23] simulated how key operational parameters affect ammonia dispersion and the consequences.…”

“…21 Rathinam et al analyzed the resilience of the ammonia storage area using the Resilience-based Integrated Process System Hazard Analysis and statistically validated using one-way analysis of variance (ANOVA). 22 Reference [23] simulated how key operational parameters affect ammonia dispersion and the consequences. The toxic impacts and consequences of the exposure using PHAST software are assessed.…”