Development of surrogate model using CFD and deep neural networks to optimize gas detector layout

Jeon, Kyeongwoo; Yang, Seeyub; Kang, Dongju; Na, Jonggeol; Lee, Won Bo

doi:10.1007/s11814-018-0204-8

Cited by 10 publications

(3 citation statements)

References 15 publications

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“…Step 3: Fitness selection. Generate random probability P. The adaptive selection probability P 0 based on hormone regulation is set by Equation (10). Several individuals are selected in the random population.…”

Section: Inverse Positioning Methods Based On Improved Genetic Algorithmmentioning

confidence: 99%

“…Forconi, E et al proposed an optimal placement of sensors based on the leakage risk that was able to make the detection of large leaks more efficient [9]. Based on a computational fluid dynamics (CFD) simulation of potential leakage risks, Jeon, K et al presented a method to avoid insufficient sampling while reducing the computational load for gas detector allocation optimization [10]. Dong, JK et al divided the monitoring area into a uniform grid and calculated the risk information value of each grid node to determine the sensor layout and priority order [11].…”

Section: Introductionmentioning

confidence: 99%

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Research on Multi-Point Monitoring Data Grid Model and Inversion Positioning Method for Gas Leakage in Oil and Gas Stations

Meng,

2024

Sustainability

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The safe and stable operation of oil and gas stations makes a positive contribution to the stability and reliability of the natural gas supply. In order to reduce the impact of leakage and diffusion accidents in the station, it is necessary to develop an effective method to monitor and locate the leakage source quickly and accurately. This study proposes a multi-point monitoring data grid model to achieve the full-coverage monitoring of oil and gas stations. In addition, on this basis, a leakage source inversion positioning model is established to realize the leakage positioning of the station. A field experiment was carried out with an oil and gas station as an example. The results show that the optimal layout of points needs to consider the influence of environmental factors, confirmed by computational fluid dynamics (CFD) simulation. The optimized data interpolation not only reduces the cost of the monitoring point layout. In addition, through the comparison of multi-objective optimization algorithms and a robustness test, it can be found that the convergence efficiency and accuracy of the inversion positioning algorithm in this study have been greatly improved. Compared with the manual auxiliary positioning method, this method effectively solves the problem of leakage monitoring and positioning of oil and gas stations, and can achieve the purpose of leakage risk monitoring and “reducing cost and increasing efficiency”.

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Section: Inverse Positioning Methods Based On Improved Genetic Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Multi-Point Monitoring Data Grid Model and Inversion Positioning Method for Gas Leakage in Oil and Gas Stations

Meng,

2024

Sustainability

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“…Surrogate models, once trained, offer a lower computational overhead in evaluating a design space. See, for example, (Hanna et al, 2020;Jeon et al, 2019). While they offer long-term computational sustainability, they all require extensive evaluation of the design space to train the model.…”

Section: Existing Methods To Reduce Computational Effortmentioning

confidence: 99%

A Sustainable Computational Design Concept Using Web Service Methods

Gopsill,

Hicks,

Schiffmann

et al. 2023

Proc. Des. Soc.

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Simulation is fundamental to many engineering design processes and powers the field of computational design. Simulation inherently consumes energy resulting in CO2 emissions that impact our environment. While one can source energy from renewable sources and use energy efficient hardware, efforts need to also be made in how we can use simulation in a sustainable manner.This paper presents a sustainable simulation framework that borrows concepts from web services. The framework makes it easy for engineering firms to adopt and embed sustainable simulation practices thereby removing the burden from the designer tin thinking about how to design sustainably. An illustrative example reveals a 25% reduction in computational effort can be achieved by adopting the framework.

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Summary and Outlook

Ranade¹,

Utikar²

2022

Multiphase Flows for Process Industries

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Development of surrogate model using CFD and deep neural networks to optimize gas detector layout

Cited by 10 publications

References 15 publications

Research on Multi-Point Monitoring Data Grid Model and Inversion Positioning Method for Gas Leakage in Oil and Gas Stations

Research on Multi-Point Monitoring Data Grid Model and Inversion Positioning Method for Gas Leakage in Oil and Gas Stations

A Sustainable Computational Design Concept Using Web Service Methods

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