叶斌

助理教授，哈尔滨⼯业⼤学博⼠，清华⼤学和美国劳伦斯伯克利国家实验室博⼠后。主要从事环境规划和能源经济等⽅⾯的研究⼯作，擅⻓将环境科学⽅法与经济管理科学⽅法相结合，研究全球和区域尺度的⽓候、能源和经济发展⽅⾯的问题；主持国家⾃然科学基⾦3项（面上2项，青年1项）、主持国家电网和南方电网等央企科研项目3项。⽬前已经发表科研论⽂100余篇，入选2025斯坦福全球前2%顶尖科学家榜单。担任Environmental Geochemistry and Health 副主编，Applied Energy 青年编委。

了解更多

My Research

研究领域

1. 应对和减缓气候变化的环境管理机制

2. 能源生产与水处理领域的碳减排潜力与节能减排经济技术评估

教学

环境经济学（本科）；气候变化经济学（研究生）

学术成果

1) Ye B.*, Pu H.J. , Song Y.Z., Jiang J. J.,(2025). Design and pricing of an option product for China’s green electricity-carbon medium and long-term markets , Environmental Impact Assessment Review,107804.(SSCI, JCR Q1, IF:11.2)

2) Ye B.,Jiang J., Liu J., (2021), Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction. Renewable and Sustainable Energy Reviews, 135(2021): 110415. (SCI, JCR Q1 , IF:16.3)

3) Ye B., Jiang J., Liu J., Feasibility of coupling PV system with long-distance water transfer: A case study of China’s “South-to-North water diversion”, Resources, Conservation & Recycling, 164(2021):105194.(SCI, JCR Q1, IF: 10.9)

4) Ye B., Jiang J.*, Zhou Y., Liu, J., Wang K.,(2019), Technical and economic analysis of amine-based carbon capture and sequestration at coal-fired power plants, Journal of Cleaner Production,222:476-487 (JCR Q1, IF 10.0)

5) Ye B., Jiang J, Li C., Miao L., Tang J.,(2017), Quantification and driving force analysis of provincial-level carbon emissions in China, Applied Energy, 198:223-238. (SCI ,JCR Q1, IF11.0)

6) Ye B. Zhang K., Jiang J., Miao L., Li J.,(2017), Toward a 90% renewable energy future: A case study of an island in the South China Sea, Energy Conversion and Management, 142: 28-41. (SCI, JCR Q1, IF10.9)

7) Ye B., Yang P, Jiang J, Miao L., (2017), Feasibility and economic analysis of a renewable energy powered special town in China. Resources, Conservation and Recycling, 121:40-50. (SCI, JCR Q1, IF 10.9)

8) Ye B, Jiang J, Miao L., Xie D.,(2016), Interprovincial allocation of China’s national carbon emission allowance: an uncertainty analysis based on Monte-Carlo simulations. Climate Policy,(SSCI, JCR Q1, IF5.2)