Moving towards the path of regenerative growth through long-term sustainability of renewable energy: challenges, solutions, and applications

Abstract

This thesis delves into the long-term sustainability of renewable energy systems for regenerative growth, with a focus on innovative solutions to address challenges, policy adaptation, and societal awareness. The methodology involves a comprehensive literature review, a practical sustainability assessment model employing knowledge discovery from data and machine learning, a fuzzy-based case study within the EU's renewable energy system, and a user-friendly gamification approach for societal adoption. The research aligns with the 8th EAP and offers valuable insights for integrating sustainable techniques (BATs) into regulations, particularly for Bioenergy with Carbon Capture Storage and Utilization (BECCSU). Overall, it strives to advance a more resilient, resource-efficient, and environmentally sustainable EU.