| Ref.No: | 61411200 |
| Start date: | 03.07.2024 |
| End date: | 31.12.2025 |
| Approval date: | 03.07.2024 |
| Department: | CIVIL ENGINEERING |
| Sector: | STRUCTURAL ENGINEERING |
| Financier: | ΕΠΙΤΕΛΙΚΗ ΔΟΜΗ ΕΣΠΑ, ETHNIKO TAMEIO ANAKAMPSIS KAI ANTHEKTIKOTITAS/UP. PAIDEIAS THRISK & ATHLITISMOU |
| Budget: | 123.575,55 € |
| Public key: | ΨΕ1Ξ46ΨΖΣ4-ΧΓΡ |
| Scientific Responsible: | Prof. NIKOLAOS LAGAROS |
| Email: | nlagaros@central.ntua.gr |
| Description: | AS THE DEMAND FOR RENEWABLE ENERGY CONTINUES TO GROW, WIND PARKS HAVE BECOME A VITAL COMPONENT OF THE GLOBAL ENERGY LANDSCAPE. HOWEVER, OPERATING AND MANAGING THESE COMPLEX SYSTEMS POSE VARIOUS CHALLENGES, INCLUDING MITIGATING RISKS ASSOCIATED WITH UNPREDICTABLE WEATHER PATTERNS, MAINTENANCE ISSUES, AND POTENTIAL EQUIPMENT FAILURES. TO ADDRESS THESE CHALLENGES EFFECTIVELY, THE INTEGRATION OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES INTO WIND PARK RISK MANAGEMENT HAS EMERGED AS A PROMISING SOLUTION. AI-DRIVEN RISK MANAGEMENT SYSTEMS EMPOWER OPERATORS WITH ADVANCED ANALYTICS, PREDICTIVE CAPABILITIES, AND REAL-TIME MONITORING, ENABLING THEM TO OPTIMIZE OPERATIONS, ENHANCE SAFETY, AND MAXIMIZE ENERGY PRODUCTION. SYSTEM IDENTIFICATION (FOR WHICH AARHUS UNIVERSITY (ΑU) AND THE GROUP IS WELL KNOWN) CAN BE COUPLED WITH THIS FOR A MORE COMPREHENSIVE UNDERSTANDING OF THE STRUCTURE. THE INTEGRATION OF AI-BASED RISK MANAGEMENT SYSTEMS IN WIND PARKS PROVIDES OPERATORS WITH ADVANCED CAPABILITIES TO ENHANCE SAFETY, OPTIMIZE PERFORMANCE, AND MITIGATE POTENTIAL RISKS. BY LEVERAGING REAL-TIME MONITORING, PREDICTIVE MAINTENANCE, ACCURATE WEATHER FORECASTING, PERFORMANCE OPTIMIZATION, AND COMPREHENSIVE RISK ASSESSMENTS, WIND PARK OPERATORS CAN MAKE DATA-DRIVEN DECISIONS, REDUCE DOWNTIME, AND MAXIMIZE ENERGY PRODUCTION. AS TECHNOLOGY ADVANCES AND AI CONTINUES TO EVOLVE, THE APPLICATION OF AI IN WIND PARK RISK MANAGEMENT WILL PLAY A PIVOTAL ROLE IN THE SUSTAINABLE DEVELOPMENT OF RENEWABLE ENERGY RESOURCES. |
