Abstract The general layout design of an industrial park has a significant impact on safety, transportation, piping, and land occupation. Currently, the relevant studies are not mature, and most of the practical designs heavily rely on expertise. In this work, an optimization methodology is proposed to consider safety, piping connection, and occupied land simultaneously for the layout problem. An improved FLUTE algorithm is developed to optimize the pipe network arrangement. Quantitative risk analysis is employed to describe the safety aspect and the interaction among multiple hazard sources. A continuous model is used rather than a grid model to describe occupied land. The first case study illustrates that the improved FLUTE algorithm can find a better pipe network connection compared to previous algorithms with up to 38% reduction of cost. In the second case study, the layout-relevant cost from the proposed model is 6.3% lower than from a previous model, and the effectiveness of the model for multiple hazard sources is also illustrated. A Monte Carlo simulation is employed to test the optimal layout obtained from the proposed model. The results indicate the feasibility and the acceptability of accident consequences of the obtained layout. Consequently, the proposed model can significantly enhance safety and reduce capital cost for an industrial park.

中文翻译：

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基于新型布置算法的工业园区布局设计方法——考虑管网和多危险源

摘要 工业园区的总体布局设计对安全、交通、管道、占地等都有重要影响。目前相关研究尚不成熟，大部分实际设计严重依赖专业知识。在这项工作中，提出了一种优化方法，以同时考虑安全性、管道连接和占地布局问题。开发了改进的 FLUTE 算法来优化管网布置。定量风险分析用于描述安全方面和多个危险源之间的相互作用。使用连续模型而不是网格模型来描述占用的土地。第一个案例研究表明，与以前的算法相比，改进的 FLUTE 算法可以找到更好的管网连接，成本降低高达 38%。在第二个案例研究中，所提出模型的布局相关成本比以前的模型低 6.3%，并且还说明了该模型对多种危险源的有效性。蒙特卡罗模拟被用来测试从所提出的模型中获得的最佳布局。结果表明所获得的布局的可行性和事故后果的可接受性。因此，所提出的模型可以显着提高工业园区的安全性并降低资本成本。结果表明了所获得的布局的可行性和事故后果的可接受性。因此，所提出的模型可以显着提高工业园区的安全性并降低资本成本。结果表明了所获得的布局的可行性和事故后果的可接受性。因此，所提出的模型可以显着提高工业园区的安全性并降低资本成本。