Smart Integration of Process Systems Engineering & Machine Learning for Improved Process Safety in Process Industries

Información del proyecto

PROSAFE

Identificador del acuerdo de subvención: 101119358

DOI

10.3030/101119358

Fecha de la firma de la CE 14 Noviembre 2023

Fecha de inicio 1 Enero 2024

Fecha de finalización 31 Mayo 2028

Financiado con arreglo a

• Marie Skłodowska-Curie Actions (MSCA)

Coste total

Sin datos

Aportación de la UE

€ 2 773 692,00

Coordinado por

DANMARKS TEKNISKE UNIVERSITET
Denmark

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Other (5)

Designing the Optimal Adiabatic Indirect Cooled Reactor System for Renewable Ammonia Production

Autores: Niklas Grol, Gürkan Sin, Tuse Asrav
Publicado en: 2025 AIChE Annual Meeting
Editor: DTU Library

A Multi-Agent Framework for Enhanced Chemical Process Fault Diagnosis: Integrating Intelligent Analysis, Visualization, and User-Centric Decision Support

Autores: Jingkang Liang, Gürkan Sin
Publicado en: 2025 AIChE Annual Meeting
Editor: DTU Library

Large Language Model Agents for User-Friendly Chemical Process Simulations

Autores: Niklas Groll, Gürkan Sin, Jingkang Liang
Publicado en: 2025 AIChE Annual Meeting
Editor: DTU Library

A Benchmark Simulation Model of Green Ammonia Production for the Development of Process Safety and Monitoring Approaches

Autores: Niklas Groll, Gürkan Sin, Jakob Huusom
Publicado en: 2025 AIChE Annual Meeting
Editor: DTU Library

Robust and Efficient Fault Diagnosis in Chemical Processes Via Model Ensemble and Neural Network Pruning

Autores: Jingkang Liang, Gürkan Sin
Publicado en: 2025 AIChE Annual Meeting
Editor: DTU Library

Conference proceedings (10)

Exploring Discrepancies between Consequence Analysis Software: from Validation to Common QRA Initiating Events

Autores: Lorenza Saturnino, Alba Àgueda, Miguel Muñoz, Eulàlia Planas
Publicado en: . In Loss Prevention 2025: 18th EFCE International Symposium on Loss Prevention and Safety Promotion in the Process Industries: Book of Abstracts, 2025
Editor: AIDIC
DOI: 10.3303/BOA2501

Identification of critical inputs in QRA studies using Monte Carlo-based sensitivity analysis

Autores: Belda-Ley, Mercedes; Sin, Gürkan
Publicado en: In Loss Prevention 2025: 18th EFCE International Symposium on Loss Prevention and Safety Promotion in the Process Industries: Book of Abstracts, 2025
Editor: Italian Association of Chemical Engineering - AIDIC

Enhancing Fault diagnosis for Chemical Processes via MSCNN with Hyperparameters Optimization

Autores: Jingkang Liang, G�rkan Sin
Publicado en: Systems and Control Transactions, Proceedings of the 35th European Symposium on Computer Aided Process Engineering (ESCAPE 35), Edición 4, 2025, ISSN 2818-4734
Editor: PSE Press
DOI: 10.69997/SCT.181373

Exploratory numerical simulation of pressure build-up and temperature stratification in cryogenic hydrogen tanks engulfed in fire using OpenFoam

Autores: Muchen Zhang, Artemis Papadaki, Jairo Andrés Meneses Gelves, Pascale Vacca, Alba Àgueda, Elsa Pastor, Eulàlia Planas
Publicado en: Proceedings of the International Conference on Hydrogen Safety, 2025
Editor: UPC

A Benchmark Simulation Model of Ammonia Production: Enabling Safe Innovation in the Emerging Renewable Hydrogen Economy

Autores: Niklas Groll, G�rkan Sin
Publicado en: Systems and Control Transactions, Proceedings of the 35th European Symposium on Computer Aided Process Engineering (ESCAPE 35), Edición 4, 2025, ISSN 2818-4734
Editor: PSE Press
DOI: 10.69997/SCT.164574

Comparison of Quantitative Risk Analysis methodologies for hydrogen refuelling stations

Autores: Jairo Andrés Meneses Gelves, Pascale Vacca, Elsa Pastor
Publicado en: European PhD Hydrogen Conference, 2025
Editor: Hydrogen Europe Research (HER)

Enhancing Fault diagnosis for Chemical Processes via MSCNN with Hyperparameters Optimization and Uncertainty Estimation

Autores: Jingkang Liang, Gürkan Sin
Publicado en: Proceedings of the 25th Nordic Process Control Workshop (NPCW 2025)
Editor: Aalto University Department of Chemical and Metallurgical Engineering Process Control and Automation Group

Comparison of quantitative risk analysis methodologies for hydrogen refueling stations

Autores: Jairo Andrés Meneses Gelves, Lorenza Saturnino, Pascale Vacca, Elsa Pastor, Eulàlia Planas
Publicado en: Proceedings of the International Conference on Hydrogen Safety, 2025
Editor: UPC

ProSafe: Smart Integration of Process Systems Engineering & Machine Learning for Improved Process Safety

Autores: Sin, Gürkan; Alvarado Morales, Merlin; Planas, Eulàlia ; Pastor, Elsa; Jäschke, Johannes; Nogueira, Idelfonso; Muñoz, Miguel ; Erkey, Çan ; Aydin, Erdal; Russo, Alessandra
Publicado en: In Loss Prevention 2025: 18th EFCE International Symposium on Loss Prevention and Safety Promotion in the Process Industries: Book of Abstracts, 2025
Editor: Italian Association of Chemical Engineering - AIDIC

Evaluating Hybrid Modelling for Process Safety Applications: A Novel Benchmark Model Based on Renewable Ammonia Production

Autores: Niklas Groll, Gürkan Sin
Publicado en: Proceedings of the 25th Nordic Process Control Workshop (NPCW 2025)
Editor: Aalto University Department of Chemical and Metallurgical Engineering Process Control and Automation Group

Peer reviewed articles (3)

Benchmark Analysis of Accident Modelling Software Applied to Hydrogen Storage

Autores: Lorenza Saturnino, Elsa Pastor, Eulàlia Planas
Publicado en: CHEMICAL ENGINEERING TRANSACTIONS, 2025, ISSN 2283-9216
Editor: AIDIC
DOI: 10.3303/CET25116039

On Neuro-Symbolic AI for Abnormal Event Detection in Process Safety

Autores: Julien Amblard, Alessandra Russo, Gürkan Sin
Publicado en: CHEMICAL ENGINEERING TRANSACTIONS, 2025, ISSN 2283-9216
Editor: AIDIC
DOI: 10.3303/CET25116075

Fairer benchmark of group contribution and machine learning models for property prediction: A new data splitting strategy

Autores: Adem R.N. Aouichaoui, Jingkang Liang, Jens Abildskov, Gürkan Sin
Publicado en: Computers & Chemical Engineering, Edición 202, 2025, ISSN 0098-1354
Editor: Elsevier BV
DOI: 10.1016/J.COMPCHEMENG.2025.109271