Szczegóły publikacji
Opis bibliograficzny
Development of a hybrid Digital Twin for the dispersion of transient $CO_{2}$ clouds accompanying accidental pipeline leaks / Paweł BIELKA, Szymon KUCZYŃSKI, Stanisław NAGY // International Journal of Greenhouse Gas Control ; ISSN 1750-5836 . — 2025 — vol. 148 art. no. 104528, s. 1–17. — Bibliogr. s. 15–17, Abstr. — Publikacja dostępna online od: 2025-11-25
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 164840 |
|---|---|
| Data dodania do BaDAP | 2025-12-17 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.ijggc.2025.104528 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | International Journal of Greenhouse Gas Control |
Abstract
This study introduces a conceptual Digital Twin framework for real-time modeling of CO2 dispersion following accidental pipeline leaks or ruptures. Forecasts cloud pathways and concentration gradients both in real-time operations and within a simulated training environment. The system offers simulations on demand for operator training, strengthening preparedness, situational awareness, and rapid decision-making during critical incidents. By integrating high-frequency nondispersive infrared (NDIR) sensor data with a physics-informed long-short-term memory (LSTM) model, validated against synthetic data from DNV Phast software, the developed system generates accurate spatial forecasts of the 5 000 ppm CO2 dispersion contour. Experimental validation in more than 300 000 simulated scenarios showed a mean squared error just below 5 %, indicating high reliability and operational effectiveness. The proposed Hybrid Gaussian Digital Twin (HyG-CO2DT) offers scalability, maintains robustness under varying sensor densities without requiring model retraining, and provides a practical framework for enhancing safety, regulatory compliance, and effective risk management in industrial carbon capture and storage (CCS) applications.
