分辨率(逻辑)
环境科学
碳纤维
中国
计算机科学
政治学
材料科学
法学
人工智能
复合数
复合材料
作者
Michael B. McElroy,Yaxing Liu,Aiqin Wang,Luo Jiajun,Jinyu Wen,Xia Chen,Chongqing Kang,Shijie Cheng,Michael B. McElroy
出处
期刊:Joule
[Elsevier BV]
日期:2021-10-01
卷期号:5 (10): 2715-2741
被引量:60
标识
DOI:10.1016/j.joule.2021.10.006
摘要
Summary
China, the largest global CO2 emitter, recently announced ambitious targets for carbon neutrality by 2060. Its technical and economic feasibility is unclear given severe renewable integration barriers. Here, we developed a cross-sector, high-resolution assessment model to quantify optimal energy structures on provincial bases for different years. Hourly power system simulations for all provinces for a full year are incorporated on the basis of comprehensive grid data to quantify the renewable balancing costs. Results indicate that the conventional strategy of employing local wind, solar, and storage to realize 80% renewable penetration by 2050 would incur a formidable decarbonization cost of $27/ton despite lower levelized costs for renewables. Coordinated deployment of renewables, ultra-high-voltage transmissions, storages, Power-to-gas and slow-charging electric vehicles can reduce this carbon abatement cost to as low as $−25/ton. Were remaining emissions removed by carbon capture and sequestration technologies, achieving carbon neutrality could be not only feasible but also cost-competitive post 2050.
科研通智能强力驱动
Strongly Powered by AbleSci AI