Projet OPTIMAL (Horizon 2020, appel à projets 2020)
Action : Staff Exchanges
Panel : Information Science and Engineering
Statut du projet : SIGNED

The proposed project is to develop and maintain long term collaborations between Europe and China towards CO2 neutral Olefin production. We will realize this objective by carrying out joint research in big data and artificial intelligence (AI) for ethylene plants integrated with carbon capture and CO2 utilisation. Specifically this requires a universal set of skills such as pilot scale experimental study, process modelling and analysis, optimisation, catalysis and reaction kinetics that will be strengthened by the individual mobility of researchers between Europe and China. There are 12 partners involved in OPTIMAL with 3 industrial partners. These partners are world leading in their respective research areas. OPTIMAL is planned to start from Aug. 2021 and will continue for 65 months. There will be 28 experienced and 35 early stage researchers participating in OPTIMAL with exchange visits of 262 person months. The funding of €772,800 will be requested from European Commission to support these planned secondments. The European beneficiaries are experts at catalysis, CO2 utilisation, intensified carbon capture, reaction mechanism and kinetics & CFD studies, hybrid modelling, molecular simulation and dynamic optimisation, whilst the Chinese partners are experts at exergy analysis, process control and optimisation, solvent-based carbon capture & data-driven model development, deep reinforced learning based model free control, intelligent predictive control, physics-based reduced order model development, soft exergy sensor development and optimisation under uncertainty. Transfer of knowledge will take place through these exchange visits. We will generate at least 25 Journal publications and 25 Conference papers. 2 Special Issues will be established in leading journals such as Applied Energy. 2 Workshops and 2 Special Sessions in major international conferences will also be organised to disseminate project results.

Mots clés : process systems engineering, computer aided process design, ethylene manufacturing, carbon capture, co2 utilisation, smart manufacturing, artificial intelligence, machine learning, process control

Participants :
- Ghent University (Belgique) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 128800.0 €
- Xi'an Jiaotong University (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- SINTEF (Norvège) — Partner, beneficiary, Recherche, subvention : 0.0 €
- Hunan University (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- University of Hull (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 0.0 €
- East China University of Science and Technology (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Southeast University (Chine) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Nanjing improve automation technology co ltd (Chine) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Newcastle University (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 156400.0 €
- Carbon clean solutions limited (Royaume-Uni) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 27600.0 €
- University of Sheffield (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 322000.0 €
- Norwegian University of Science and Technology (Norvège) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 101200.0 €
- Avgi (Belgique) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 36800.0 €