An optimal process plant layout needs to ensure that the associated piping and land costs are minimized, while the overall safety is maximized. Although various approaches to optimizing plant layout exists in the literature, none considers the essential need for simultaneous compliance with local risk regulations. Employing mixed-integer nonlinear programming, this article presents a methodology to enable design of layout of a major hazard plant, while simultaneously achieving conformity with both applicable individual and societal risk acceptance criteria. The algorithm is applied to a model plant which poses hazards of toxic gas releases, fires, and explosions. Additional risks of domino effects due to fires and explosions are also incorporated. The results of the article suggest that the approach can be employed to automate any plant layout optimization exercise while ensuring regulatory compliance concurrently. The proposed approach can help substitute the iterative, manual process that is presently applied in practice.

中文翻译：

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使用关键风险指标优化流程工厂布局


最佳的工艺工厂布局需要确保相关管道和土地成本最小化，同时整体安全性最大化。尽管文献中存在各种优化工厂布局的方法，但没有一个方法考虑到同时遵守当地风险法规的必要性。本文采用混合整数非线性规划，提出了一种能够设计重大危险源布局的方法，同时符合适用的个人和社会风险接受标准。该算法应用于存在有毒气体释放、火灾和爆炸危险的模型工厂。还包括因火灾和爆炸而导致的多米诺骨牌效应的额外风险。文章的结果表明，该方法可用于自动化任何工厂布局优化工作，同时确保法规遵从性。所提出的方法可以帮助替代目前在实践中应用的迭代手动过程。