Jie Huang

  • Jie HUANG received his Ph.D. degree from Nanjing University of Science & Technology in 2011. He was a research assistant in The Hong Kong Polytechnic University during 2010 to 2011. He is now a senior engineer in State Grid Electric Power Research Institute (SGEPRI), State Grid Corporation of China. His research interests include carbon emission market and electricity market modelling and simulation, risk management, and policy design.

     

    As an effective greenhouse gases emission regulation measure, Emission Trading Scheme (ETS) has been widely implemented worldwide. Market designers and participants are urgently in need of decision support tools with quantitative risk analysis capability. The biggest challenge of emission risk prevention and control lies in that physical laws, economic laws and human behaviours are intertwined. While the physical laws and economic laws can be modelled mathematically, human behaviours cannot be easily modelled with conventional analytical methods due to its “bounded rationality” characteristic. To address this problem, we have developed a hybrid simulation methodology based on the complementary features between experimental and agent-based computational methods. By adopting the hybrid simulation method, a stable multi-agent simulation environment can be constructed, sensitivity analysis of related influencing factors can be conducted, providing quantitative risk analysis results. Furthermore, emission risk analysis and control framework can be constructed based on this quantitative analysis methodology, providing decision support for emission market participants.

 

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