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

Informazioni relative al progetto

PROSAFE

ID dell’accordo di sovvenzione: 101119358

DOI

10.3030/101119358

Data della firma CE 14 Novembre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Maggio 2028

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 2 773 692,00

Coordinato da

DANMARKS TEKNISKE UNIVERSITET
Denmark

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (3)

Global sensitivity and uncertainty analysis methodology for QRA studies

Description of the methodology

Machine learning algorithms for abnormal event management and early warning

Description of the advanced ML algorithms

Hybrid models for health-aware operation and maintenance

Description of the hybrid modelling framework

Other (2)

Recruitment advertising placed

Advertising PROSAFE DCs positions

Offers and acceptances for all DCs

List of all recruited DCs

Websites, patent fillings, videos etc. (1)

PROSAFE website

PROSAFE website launched

Pubblicazioni

Other (5)

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

Autori: Niklas Grol, Gürkan Sin, Tuse Asrav
Pubblicato in: 2025 AIChE Annual Meeting
Editore: DTU Library

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

Autori: Jingkang Liang, Gürkan Sin
Pubblicato in: 2025 AIChE Annual Meeting
Editore: DTU Library

Large Language Model Agents for User-Friendly Chemical Process Simulations

Autori: Niklas Groll, Gürkan Sin, Jingkang Liang
Pubblicato in: 2025 AIChE Annual Meeting
Editore: DTU Library

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

Autori: Niklas Groll, Gürkan Sin, Jakob Huusom
Pubblicato in: 2025 AIChE Annual Meeting
Editore: DTU Library

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

Autori: Jingkang Liang, Gürkan Sin
Pubblicato in: 2025 AIChE Annual Meeting
Editore: DTU Library

Conference proceedings (10)

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

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

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

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

Enhancing Fault diagnosis for Chemical Processes via MSCNN with Hyperparameters Optimization

Autori: Jingkang Liang, G�rkan Sin
Pubblicato in: Systems and Control Transactions, Proceedings of the 35th European Symposium on Computer Aided Process Engineering (ESCAPE 35), Numero 4, 2025, ISSN 2818-4734
Editore: 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

Autori: Muchen Zhang, Artemis Papadaki, Jairo Andrés Meneses Gelves, Pascale Vacca, Alba Àgueda, Elsa Pastor, Eulàlia Planas
Pubblicato in: Proceedings of the International Conference on Hydrogen Safety, 2025
Editore: UPC

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

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

Comparison of Quantitative Risk Analysis methodologies for hydrogen refuelling stations

Autori: Jairo Andrés Meneses Gelves, Pascale Vacca, Elsa Pastor
Pubblicato in: European PhD Hydrogen Conference, 2025
Editore: Hydrogen Europe Research (HER)

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

Autori: Jingkang Liang, Gürkan Sin
Pubblicato in: Proceedings of the 25th Nordic Process Control Workshop (NPCW 2025)
Editore: Aalto University Department of Chemical and Metallurgical Engineering Process Control and Automation Group

Comparison of quantitative risk analysis methodologies for hydrogen refueling stations

Autori: Jairo Andrés Meneses Gelves, Lorenza Saturnino, Pascale Vacca, Elsa Pastor, Eulàlia Planas
Pubblicato in: Proceedings of the International Conference on Hydrogen Safety, 2025
Editore: UPC

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

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

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

Autori: Niklas Groll, Gürkan Sin
Pubblicato in: Proceedings of the 25th Nordic Process Control Workshop (NPCW 2025)
Editore: 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

Autori: Lorenza Saturnino, Elsa Pastor, Eulàlia Planas
Pubblicato in: CHEMICAL ENGINEERING TRANSACTIONS, 2025, ISSN 2283-9216
Editore: AIDIC
DOI: 10.3303/CET25116039

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

Autori: Julien Amblard, Alessandra Russo, Gürkan Sin
Pubblicato in: CHEMICAL ENGINEERING TRANSACTIONS, 2025, ISSN 2283-9216
Editore: AIDIC
DOI: 10.3303/CET25116075

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

Autori: Adem R.N. Aouichaoui, Jingkang Liang, Jens Abildskov, Gürkan Sin
Pubblicato in: Computers & Chemical Engineering, Numero 202, 2025, ISSN 0098-1354
Editore: Elsevier BV
DOI: 10.1016/J.COMPCHEMENG.2025.109271