Strengthening Energy Security and Advancing Renewable Energy Adoption Through Supply Chain Digitalization
研究运用模糊层次分析法和TOPSIS方法，识别出经济金融、环境可持续和监管政策是阻碍可再生能源采纳的关键挑战，并发现数字孪生、去中心化能源管理平台和AI需求响应系统是最有效的数字化策略。
ABSTRACT 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.