Analyzing policy measures for renewable fuel supply chain design in transport sectors
提出混合整数线性规划模型，分析碳定价、温室气体强度降低和可再生燃料份额等政策对欧洲交通领域可再生燃料供应链的经济与环境影响，发现碳定价对减排效果最显著，中等政策力度可实现经济与环境平衡。
As a result of climate neutrality targets, renewable and low-carbon fuels are increasingly used, particularly in hard-to-abate sectors. A key factor in establishing renewable fuel supply chains (RFSC) is analyzing the impact of policy measures. To gain insights into the impacts of various policies on RFSC, we propose a mixed-integer linear programming model that incorporates factorial and sensitivity analyses of policy measures, such as carbon pricing, GHG intensity reduction, and renewable fuel share mandates. We analyze both economic and environmental aspects of RFSC through net present cost and cumulative GHG emission savings objective functions. Applied to the European transport sector, our model reveals that carbon pricing has the highest impact on cumulative GHG emission savings. Our findings demonstrate substantial trade-offs between economic and environmental objectives and show that integrating medium levels of policy measures can lead to balanced economic and environmental outcomes.