Examining the Role of Digital Technologies and Artificial Intelligence in Climate Resilience and Energy Adaptation Within Energy-Intensive Industries
摘要
This study explores how digital technologies and Artificial Intelligence (AI) contribute to climate resilience and energy adaptation in energy-intensive industries (EIIs). Based on an international survey conducted under IEA IETS Task 22, responses from 29 experts highlight a growing interest in AI applications such as predictive maintenance, demand forecasting, and process optimization. While AI is perceived as a key enabler of sustainability, most implementations remain in pilot phases due to high costs, integration complexity, and workforce skill gaps. Climate resilience is recognized but remains a secondary focus compared to energy efficiency. The findings also reveal a strong link between supportive policy environments and digital readiness, emphasizing the need for coordinated regulatory and technological efforts. This study contributes to the literature by connecting industrial stakeholder perspectives with broader digitalization and decarbonization agendas, offering insights to guide future research and policy development for a more resilient and sustainable industrial sector.