| Ref.No: | 61401500 |
| Start date: | 01.02.2024 |
| End date: | 31.12.2025 |
| Approval date: | 31.01.2024 |
| Department: | CHEMICAL ENGINEERING |
| Sector: | PROCESS ANALYSIS AND PLANT DESIGN |
| Financier: | ΕΛΛΑΔΑ 2.0 ΕΘΝΙΚΟ ΣΧΕΔΙΟ ΑΝΑΚΑΜΨΗΣ &ΑΝΘΕΚΤΙΚΟΤΗΤΑΣ, ELLHNIKO IDRYMA EREYNAS KAI KAINOTOMIAS |
| Budget: | 396.204,00 € |
| Public key: | 6Δ4Ν46ΨΖΣ4-6ΨΦ |
| Scientific Responsible: | Prof. BOUDOUVIS |
| Email: | boudouvi@chemeng.ntua.gr |
| Description: | THIS PROPOSAL FOCUSES ON A COMPUTATIONALLY-DRIVEN EXPERIMENTAL INVESTIGATION OF CHEMICAL VAPOR DEPOSITION (CVD) OF SUCCESSIVE SI LAYERS OF POSITIVE (P-), INTRINSIC (I-) AND NEGATIVE (N-) POLARITIES TO FORM A P-I-N STACK ON CYLINDRICAL FILAMENTS. PART OF THE TOTAL ENERGY REQUIREMENTS OF THE PROCESS IS REPLACED BY SOLAR PANELS. THE TECHNOLOGICAL OBJECTIVES OF THE PROPOSED RESEARCH ARE: (1) THE DEVELOPMENT OF A HYBRID, EQUATION-BASED AND DATA DRIVEN, COMPUTATIONAL FRAMEWORK FOR (2) THE OPTIMIZATION OF THE CVD OF SI ON FILAMENTS, USING SOLAR ENERGY RESOURCES, WHICH WILL LEAD TO (3) THE DEVELOPMENT OF INTEGRATED PHOTOVOLTAIC PANELS (PVS) BY APPLYING THE OPTIMIZED SI COATED FILAMENTS. THE GOALS OF THIS WORK CAN ONLY BE REACHED BY A TRULY INTERDISCIPLINARY EFFORT PURSUED BY MERGING EXPERIMENTS WITH TWO SIMULATION AND PREDICTION APPROACHES: A MODEL-BASED, I.E. THE SOLUTION OF LARGE-SCALE SYSTEMS OF EQUATIONS DESCRIBING THE PERTINENT PHYSICAL/CHEMICAL PHENOMENA AND A MACHINE LEARNING, DATA-DRIVEN APPROACH TRAINED WITH SIGNIFICANT RECORDS OF DIVERSE DATA. THE ULTIMATE AMBITION IS TO ESTABLISH A FRAMEWORK THAT IS ACCURATE AND FAST, BY CAPITALIZING ON THE AVAILABLE EXPERIMENTAL DATA AND LOW-FIDELITY SIMULATIONS WITH LOW COMPUTATIONAL COST BUT WITH LIMITED PREDICTIVE CAPABILITY. THIS WILL ALLOW THE EFFICIENT DESIGN OF A “GREEN” PRODUCTION PROCESS OF INNOVATIVE P-I-N SI FILAMENTS, THAT INTEGRATES SOLAR ENERGY. |
