易燃液体
探测器
气体探测器
天然气
整数规划
残余物
灵敏度(控制系统)
模糊逻辑
工程类
计算机科学
可靠性工程
数学优化
算法
数学
废物管理
人工智能
电子工程
电气工程
作者
Ahmad Muzammil Idris,Risza Rusli,Mohammad Shakir Nasif,Ahmad Fakrul Ramli,Jeng Shiun Lim
标识
DOI:10.1016/j.psep.2022.03.001
摘要
A flammable gas detection system is one of the critical control strategies of catastrophic events such as fire and explosion. While gas detector technology has improved significantly, adopting a methodology for optimal placement of gas detectors is still an issue, especially when integrated with a risk-based approach. An enhancement of a risk-based approach is proposed to optimise the placement of flammable gas detectors by integrating a formulation of fuzzy multi-objective mixed-integer linear programming with the goal of minimising the residual risk and total number of detectors for effective explosion protection. The proposed methodology primarily begins with the identification of critical leak scenarios that require detection followed by the prediction of a targeted gas cloud and dispersion analysis using a computational fluid dynamic model. Risk analysis is conducted to identify high risk areas that need flammable gas detectors protection, which is the input for the mathematical model. The proposed risk-based model was tested using a case study involving a natural gas liquids (NGL) recovery unit, and the results were compared to a published greedy algorithm (GA) formulation. By using mixed-integer linear programming (MILP) formulation, the number of detectors needed are lower with higher risk reductions compared to the GA formulation. Additionally, a sensitivity analysis was performed to determine the proposed model’s response to parameter variations.
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