A Strategic Data-Driven Roadmap for Enhancing Energy Security in Taiwan Under Industry 5.0

Abstract

Energy security performs a decisive position in the economic sustainability and societal development. As Taiwan attempts for sustainable expansion, decoupling for energy security is fundamental and requires advanced information technologies and infrastructure application, especially in connection to the Industry 5.0 era. However, the two concepts proxy manifest the multi-dimensional nature with vast literature; there is an absence of a strategic roadmap for the implementation tactics. This study presents a systematic data-driven analysis combining text mining, the fuzzy Delphi method, interpretive structural modelling, fuzzy decision-making trial and evaluation laboratory, and analytic network process to outline a distinct energy security roadmap and unveil Industry 5.0 contributions. There are 22 valid indicators generated and allocated into five aspects. The causal interrelation model and strategic roadmap are obtained. The technological advancement and integration, environmental and climate actions, and public demand and perception are categorised as the causative aspects. The top causal indicators are indicated as climate change mitigation, cyber-physical systems, energy investment, public perception, and supply-demand side technologies. This study enriches the theoretical literature and serves as a valuable practical locus to improve energy security in the Industry 5.0.