A novel CFD-MILP-ANN approach for optimizing sensor placement, number, and source localization in large-scale gas dispersion from unknown locations

A novel CFD-MILP-ANN approach for optimizing sensor placement, number, and source localization in large-scale gas dispersion from unknown locations

Illegal practices like open electronic waste incineration release hazardous pollutants, endangering the environment and human health. The Internet of Things (IoT) enables online real-time gas concentrations, but its capability to predict leak sources accurately remains a challenge. A large amount of...

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Bibliographic Details
Main Authors: Yiming Lang, Michelle Xin Yi Ng, Kai Xiang Yu, Binghui Chen, Peng Chee Tan, Khang Wei Tan, Weng Hoong Lam, Parthiban Siwayanan, Kek Seong Kim, Thomas Shean Yaw Choong, Joon Yoon Ten, Zhen Hong Ban
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Digital Chemical Engineering
Subjects:
Source localization
Machine learning
CFD simulation
Optimization
Gas dispersion
Online Access:http://www.sciencedirect.com/science/article/pii/S2772508124000784
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