Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2–4, 2023, Nanchang, China

Research Article

Process Plant Layout Optimization Considering Domino Effect and Economy

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  • @INPROCEEDINGS{10.4108/eai.2-6-2023.2334653,
        author={Zi  Lin and Jiajia  Jiang},
        title={Process Plant Layout Optimization Considering Domino Effect and Economy},
        proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2023},
        month={8},
        keywords={process plant domino risk layout optimization multi-objective optimization},
        doi={10.4108/eai.2-6-2023.2334653}
    }
    
  • Zi Lin
    Jiajia Jiang
    Year: 2023
    Process Plant Layout Optimization Considering Domino Effect and Economy
    ICIDC
    EAI
    DOI: 10.4108/eai.2-6-2023.2334653
Zi Lin1, Jiajia Jiang1,*
  • 1: Nanjing Tech University
*Contact email: jiajiajiang@njtech.edu.cn

Abstract

The layout design of process plant has a significant impact on the economy and safety of factories. In most previous work, security issues were transformed into economic numbers and incorporated into the economic objective function to obtain the lowest economic layout scheme. This conversion is inappropriate as it may result in the generated layout plan not meeting the actual safety needs, and economic figures cannot clearly represent the safety level of the factory. In this work, a multi-objective optimization method for chemical plant layout was proposed, with economy and safety as independent objectives to attempt to achieve different trade-offs between the two. The economic objective function is to minimize the capital costs related to layout, including piping costs, land costs, protective device costs, and expected property losses from accidents; The safety objective function is to minimize domino risk, and the domino risk under different layouts is measured by the domino hazard index (DHI). The proposed model is solved using the non-dominated sorting genetic algorithm II (NSGA-II).