þ Doctoral Supervisor
þ Master Supervisor
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Research Areas
Energy system planning and management; Climate risk; Energy-land-water nexus system
Honors
Beijing Nova Program (2022)
Publications
[1] Ji L*, Li JH, Sun LJ, Guo JH, Wang X, Xie YL. China’s onshore wind energy potential in the context of climate change. Renewable and Sustainable Energy Reviews. 2024, 203, 114778.
[2] Wang MM, Ji L*, Xie YL, Huang GH. Regional bioethanol supply chain optimization with the integration of GIS-MCDM method and quantile-based scenario analysis. Journal of Environmental Management. 2024, 351, 119883
[3] Luo ZW, Ji L*, Xie YL*. Multi-dimensional equilibrium optimal allocation of water resources in Beijing-Tianjin-Hebei region through spatial association network analysis. Journal of Hydrology. 2024, 642: 131826.
[4] Ji L, Zheng ZX, Huang YN, Xie YL, Sun LJ*, Huang GH. An integrated decision support method for strategic planning and tactical management of regional biomass power plants under uncertainties. Journal of Cleaner Production. 2023, 388, 135968.
[5] Liang XL, Ji L*, Xie YL, Huang GH. Economic-Environment-Energy (3E) objective-driven integrated municipal waste management under deep complexities – a novel multi-objective approach. Sustainable Cities and Society. 2022, 87, 104190.
[6] Ji L, Wang YY, Xie YL, Xu M, Cai YP*, Fu SN, Ma L, Su X*. Potential Life Cycle Environmental Impacts of the COVID-19 Nucleic Acid Test. Environmental Science & Technology. 2022, 56: 13398-13407.
[7] Ji L, Wu YX, Zhao XH, Sun LJ*, Xie YL, Guo JH, Wang XQ, Huang GH*. Solar photovoltaics can help China fulfill a net-zero electricity system by 2050. Resources, Conservation & Recycling. 2022, 186, 106596
Personal Statement
Professor Ling Ji specializes in interdisciplinary research at the nexus of energy, environment, and climate change governance, with a focus on intelligent resource assessment, complex system simulation, and climate risk management. She has led four National Natural Science Foundation of China (NSFC) Program projects and six provincial-level research grants, supported by the Beijing Nova Program.
