Strengthening Energy Security and Advancing Renewable Energy Adoption Through Supply Chain Digitalization

Globally, the energy industry is experiencing a significant shift to low-carbon and resilient energy systems in response to growing climate change concerns. This paper discusses how energy supply chains can be digitized as a tool to enable renewable energy adoption, alleviate the effects of climate change, and improve energy security. Although the integration of renewable energy is critically important, its widespread usage remains limited because of a number of technical, economic, and regulatory obstacles. Overcoming these constraints is a feasible route that can be achieved by digitalizing supply chains. To identify and evaluate these challenges, the study applies the fuzzy Analytical Hierarchy Process (AHP), followed by the fuzzy Technique of Preference by Similarity to Ideal Solution (TOPSIS) to rank the most effective strategies. The fuzzy AHP results highlight economic and financial constraints, environmental and sustainability concerns, and regulatory and policy barriers as the most critical challenges. Meanwhile, the fuzzy TOPSIS analysis identifies digital twin technology for predictive maintenance, decentralized energy management platforms, and AI-enhanced demand response systems as the most impactful strategies for improving energy security and advancing renewable energy adoption through digitalized energy supply chains. The results show that the digitalization of energy supply chains is a strategic way to achieve global climate goals and sustainable development and provides both opportunities to maximize operational efficiency and increase the resilience of energy infrastructure.