Title: Multistage Energy System Planning under Uncertainties Speaker: Eric Huang, University of California, Davis Date/Time: Tuesday, May 11, 2010, 11:00 am Location: CSRI Building/Room 148 (Sandia NM) Brief Abstract: This talk focuses on multistage energy systems modeling, especially addressing issues of uncertainties through stochastic and dynamic modeling approaches. The annual feedstock seasonality issue will be first discussed under an uncertain decision making environment. For long-term strategic plans (e.g., fuel cell vehicle market penetration over decades), the question is how to reach those goals in a smooth and reliable manner. This requires transitional system planning strategies. Some major issues involved in this transition including evolving technology and dynamic societal needs are addressed in a dynamic programming framework. Bio: Eric Huang is a Ph.D. candidate in the Department of Civil and Environmental Engineering at the University of California, Davis. His research focuses on the infrastructure system modeling, particularly on renewable energy systems, with an emphasis on decision making under uncertainty and system dynamics. He joined the Sustainable Transportation Energy Pathways (STEPS) program at ITS-Davis in 2007. Since then, he has studied how to improve the efficiency and reliability of renewable energy systems under uncertainty, and developed adaptive long-term renewable energy system planning strategies to incorporate dynamics from evolving technology and societal needs. Eric has published three journal papers in transportation and infrastructure fields and other four journal papers are currently under review. He earned his Bachelor of Engineering in Civil Engineering from Huazhong University of Science and Technology in China (2003), and Master of Engineering in Transportation Engineering from National University of Singapore (2005).CSRI POC: Jean-Paul Watson, 505-845-8887 |