Updated on 30 April 2025
Digital solutions for energy processes
About
We offer a comprehensive range of innovative digital solutions to design and optimize the operation of process equipment. Our solutions integrate simulation, IoT (sensors, SCADA, cloud computing, edge computing), and AI techniques. Our solutions include:
-
Advanced simulations (CFD)
-
Physics-based reduced order model
-
Real-time data analysis
-
Optimization using real-time data-driven models (artificial intelligence)
-
Optimization using real-time physics-based models (Physics Reduced Order Model)
-
Digital twin technology
These solutions are tailored to align with the project's primary objectives, such as aiding equipment designing, decision-making, training operators, reducing energy consumption, improving product quality, enabling predictive maintenance, and addressing other key performance indicators (KPIs).
The methodologies developed can be applied to virtually any type of process.
Stage
- Completing the consortia
Topic
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-05: Advanced manufacturing technologies for products for the net-zero industry
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-31: From heat-driven processes to the use of mechanical and electric forces
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-32: Green and resilient flexible production processes
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-33: Integrated use of renewable energy carriers in industrial sites
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-34: Smart integration of net zero technologies into Energy Intensive industries
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-37: Solving issues in carbon-neutral iron and steel making processes with diverse input materials of varying quality
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-36: Safe and clean processing technologies and products
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-39: Towards human-centric, sustainable and resilient energy-intensive industries
Call
- Cluster 4 2025 Call - INDUSTRY: all topics
- Cluster 4 2025 Call - INDUSTRY two-stage: all topics
Type
- Partner seeks Consortium
Attached files
Organisation
Similar opportunities
Project cooperation
- Completing the consortia
- Partner seeks Consortium
- Cluster 4 2025 Call - INDUSTRY: all topics
- Cluster 4 2025 Call - INDUSTRY two-stage: all topics
- CL4-INDUSTRY | AI_in_SCI | DIGITAL-61: AI Foundation models in science
- CL4-INDUSTRY | KNOW_VAL | HUMAN-62: Artificial Intelligence for knowledge valorisation
- CL4-INDUSTRY | KNOW_VAL | HUMAN-63: Value creation pilots for scaling up innovative solutions
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-32: Green and resilient flexible production processes
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-36: Safe and clean processing technologies and products
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-33: Integrated use of renewable energy carriers in industrial sites
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-05: Advanced manufacturing technologies for products for the net-zero industry
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-34: Smart integration of net zero technologies into Energy Intensive industries
- CL4-INDUSTRY two-stage | ENE_INT_IND |TWIN-TRANSITION-35-two-stage: Developing and embedding upcycling technologies into viable business (Processes4Planet partnership) (IA)
Francesca Romana Parente
Digital Transition R&D Manager at Rina Consulting SpA
Rome, Italy
Project cooperation
Looking for a project on Water/WasteWater Circularity in Industry
- Partner seeks Consortium
- Ideation - identifying the project idea
- Cluster 4 2025 Call - INDUSTRY: all topics
- Cluster 4 2025 Call - INDUSTRY two-stage: all topics
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-32: Green and resilient flexible production processes
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-36: Safe and clean processing technologies and products
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-34: Smart integration of net zero technologies into Energy Intensive industries
- CL4-INDUSTRY | RAW_MAT | MATERIALS-61: Technologies for critical raw materials and strategic raw materials from end-of-life product
Buket Erdogan
R&D Senior Researcher - Water and Wastewater Management at TUPRAS (Turkish Petroleum Refineries Corporation)
Istanbul, Türkiye
Project cooperation
Competencies in Industrial Energy Flexibility in Energy‑Intensive Industries and SME
- Completing the consortia
- Partner seeks Consortium
- Design - setting the project scope
- Drafting - writing the project proposal
- Cluster 4 2025 Call - INDUSTRY: all topics
- Cluster 4 2025 Call - INDUSTRY two-stage: all topics
- CL4-INDUSTRY | TECH_INFRA | HUMAN-66: Assessment of Technology Infrastructure needs in Ukraine
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-32: Green and resilient flexible production processes
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-36: Safe and clean processing technologies and products
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-02: Physical and cognitive augmentation in advanced manufacturing
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-33: Integrated use of renewable energy carriers in industrial sites
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-05: Advanced manufacturing technologies for products for the net-zero industry
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-31: From heat-driven processes to the use of mechanical and electric forces
- CL4-INDUSTRY | RAW_MAT | MATERIALS-63: Innovative solutions for the sustainable production for Semiconductor raw materials
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-34: Smart integration of net zero technologies into Energy Intensive industries
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-39: Towards human-centric, sustainable and resilient energy-intensive industries
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-38: Synergies and mutual learning with national and regional initiatives in Europe on Industrial decarbonisation
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-37: Solving issues in carbon-neutral iron and steel making processes with diverse input materials of varying quality
Can Kaymakci
Team Lead - Data-Driven Energy Optimization at Fraunhofer Institute for Manufacturing Engineering and Automation
Stuttgart, Germany