| Ref.No: | 95040200 |
| Start date: | 09.05.2025 |
| End date: | 30.09.2028 |
| Approval date: | 09.05.2025 |
| Department: | CHEMICAL ENGINEERING |
| Sector: | PROCESS ANALYSIS AND PLANT DESIGN |
| Financier: | ΤΑΜΕΙΑΚΑ ΥΠΟΛΟΙΠΑ, AUTOHRIMATODOTOUMENA |
| Budget: | 3.385,61 € |
| Public key: | 994Α46ΨΖΣ4-54Ψ |
| Scientific Responsible: | Prof. KOKOSIS |
| Email: | akokossis@chemeng.ntua.gr |
| Description: | IN THE CHEMICAL INDUSTRY, DESIGNING SUSTAINABLE PROCESSES FROM THE OUTSET—SUSTAINABLE BY DESIGN—IS KEY TO MINIMISING ENVIRONMENTAL IMPACT, REDUCING RISK, AND IMPROVING LONG-TERM EFFICIENCY. AI-POWERED SUPPLY CHAIN INTELLIGENCE PLAYS A CRITICAL ROLE IN ENABLING THIS APPROACH BY INTEGRATING SUSTAINABILITY INSIGHTS DIRECTLY INTO EARLY-STAGE DECISIONS AROUND MATERIALS, SUPPLIERS, AND PROCESS DEVELOPMENT. BY APPLYING NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING TO TECHNICAL DOCUMENTATION, SAFETY DATA SHEETS, EMISSIONS REPORTS, REGULATORY DATABASES, AND SUPPLIER AUDITS, AI CAN SURFACE CRUCIAL INFORMATION ABOUT RAW MATERIALS, INCLUDING TOXICITY, LIFECYCLE EMISSIONS, ENERGY INTENSITY, AND END-OF-LIFE DISPOSAL OPTIONS. THIS ALLOWS CHEMICAL ENGINEERS AND DESIGNERS TO COMPARE AND SELECT INPUTS NOT JUST BASED ON COST OR PERFORMANCE, BUT ON ENVIRONMENTAL AND REGULATORY CRITERIA. AI CAN ALSO DETECT SUSTAINABILITY TRADE-OFFS EARLY—SUCH AS A SOLVENT WITH LOW EMISSIONS BUT HIGH WATER TOXICITY—AND RECOMMEND GREENER OR CIRCULAR ALTERNATIVES. THROUGH REAL-TIME DASHBOARDS AND INTELLIGENT ALERTS, TEAMS CAN TRACK THE EVOLVING SUSTAINABILITY PROFILE OF THEIR SUPPLY CHAINS AND ENSURE THAT DESIGN CHOICES REMAIN ALIGNED WITH GREEN CHEMISTRY PRINCIPLES, PROCESS SAFETY GOALS, AND FRAMEWORKS LIKE REACH OR ISO 14001. IN THIS WAY, ARTIFICIAL INTELLIGENCE BECOMES A PROACTIVE DESIGN PARTNER—EMBEDDING SUSTAINABILITY INTO THE DNA OF CHEMICAL PROCESSES AND PRODUCTS FROM THE VERY BEGINNING. |
