OPTIMAL project applies artificial intelligence and machine learning to ethylene manufacturing with carbon capture and CO2 utilisation.
SOUTHEAST UNIVERSITY
Chinese research university contributing AI, smart grid, and chemical process engineering expertise to EU projects as a third-party partner.
Their core work
Southeast University (SEU) in Nanjing is a major Chinese research university contributing specialist knowledge in chemical process engineering, smart energy systems, and AI-driven manufacturing to European research consortia. Their work spans computer-aided process design for petrochemicals, carbon capture and CO2 utilisation, smart grid technologies including demand response and virtual power plants, and vehicle emissions reduction. They participate exclusively as a third-party or international partner, bringing Chinese research capacity and industrial context to EU-funded projects.
What they specialise in
TESTBED2 project focuses on smart grids, demand response, and virtual power plant technologies.
Both FLEXI-PYROCAT (waste plastics pyrolysis-catalysis) and OPTIMAL (olefin production process design) involve chemical process expertise.
MODALES project addresses modifying driver behaviour to reduce emissions, involving OBD systems and awareness campaigns.
FLEXI-PYROCAT develops flexible pyrolysis-catalysis processing of waste plastics for selective product recovery.
How they've shifted over time
SEU's early H2020 involvement (2015–2019) centred on environmental chemistry — waste plastic recycling and vehicle emissions reduction. From 2020 onward, the focus shifted decisively toward digitally-enabled industrial systems: smart grids, AI and machine learning for process control, and computer-aided design for carbon-neutral chemical manufacturing. This trajectory shows a university moving from traditional environmental engineering toward the intersection of artificial intelligence and industrial decarbonisation.
SEU is building strength at the AI-industrial decarbonisation nexus, making them a strong future partner for projects combining machine learning with green chemistry or smart energy infrastructure.
How they like to work
SEU participates exclusively as a third party or international partner — they have never coordinated or been a direct participant in an H2020 project. This is typical for non-EU universities operating under MSCA-RISE staff exchange schemes. With 53 unique consortium partners across 18 countries, they maintain a broad but non-leading network, offering specialist contributions without taking on project management responsibilities.
SEU has collaborated with 53 distinct partners across 18 countries, a wide network for only 4 projects. This breadth comes from large MSCA-RISE consortia that facilitate researcher exchange between European and Chinese institutions.
What sets them apart
As a top-tier Chinese university with active EU research links, SEU offers something few European partners can: direct access to Chinese industrial context, manufacturing scale, and research talent in process engineering and AI. For consortium builders needing a credible Chinese partner with proven H2020 track record in energy systems or smart manufacturing, SEU is an established choice. Their MSCA-RISE experience also means they understand EU project structures and reporting requirements.
Highlights from their portfolio
- OPTIMALCombines AI/machine learning with carbon capture and CO2 utilisation for olefin production — a timely convergence of decarbonisation and Industry 4.0.
- TESTBED2Addresses scalable smart grid deployment with demand response and virtual power plants — directly relevant to the EU-China clean energy agenda.
- FLEXI-PYROCATTackles waste plastics recycling through pyrolysis-catalysis, connecting circular economy goals with chemical engineering expertise.