Optimal deployment of CCUS networks coupled carbon capture technologies with tax incentive policy

作者：Shitao Liu, Zhanpeng Ye, Jun Zhou, Cui Liu, Chengyu Li, Guangchuan Liang · 发表于：International Journal of Green Energy · 年份：2025 · DOI：10.1080/15435075.2025.2471431 · 被引用次数：2 · 研究领域：Carbon Dioxide Capture Technologies、Atmospheric and Environmental Gas Dynamics、Membrane Separation and Gas Transport

Carbon capture, utilization, and storage (CCUS) is pivotal for large-scale emission reductions but faces adoption barriers due to high initial costs. This study optimizes CCUS networks via carbon tax incentives to address cost challenges. While existing research overlooks cost impacts of CO₂ capture and compression technologies, we propose a Mixed-Integer Linear Programming (MILP) model to minimize annualized investment and operational costs under carbon tax policies. The study examines how different carbon tax rates affect various parameters within the CCUS network. Optimization results indicate that when the carbon tax rate is below 35.9 $/t, there is virtually no carbon capture from emission sources. When the rate is below 46.5 $/t, the amount of carbon reduction remains constant at 65.56% of the total annual emissions, regardless of the tax rate. Beyond 46.5 $/t, further reductions are limited by the maximum carbon emission constraints of the study area. Arbitrary carbon tax rates risk missing emission targets and overburdening companies, undermining sustainable development. The findings confirm that setting scientifically calibrated rates is vital to achieving reductions while advancing CCUS commercialization, ensuring alignment between economic growth and environmental objectives.