May 14, 2010

Multistage Energy System Planning under Uncertainties;Optimal Design of Biofuel Production System and Resource Allocation: A California Case Study

Speaker(s)

Yongxi (Eric) Huang;Chien-Wei Chen, ITS-Davis Graduate Researcher;ITS-Davis Graduate Researcher

Abstract

Multistage Energy System Planning under Uncertainties

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.

Optimal Design of Biofuel Production System and Resource Allocation: A California Case Study

A well designed biofuel production system may alleviate greenhouse gas emission and energy security issues. An important question is how to maintain a low-cost and low-risk biofuel supply system under future uncertainties such as demand, supply, and technologies. A two-stage stochastic programming model is developed for an entire biofuel pathway with the goal of minimizing the total expected system cost. To overcome the computational challenges encountered in solving the large-scale problem, an effective decomposition method based on progressive hedge (PH) method is implemented.

Biographical Sketch

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).

 

Chien-Wei is a Ph.D. candidate in the Transportation Technology and Policy program at University of California, Davis.  His research focuses on mathematical modeling and analysis, especially in energy infrastructure design and renewable energy supply chain management.  During his time at Davis, he has worked on hydrogen delivery network design, hydrogen transition modeling, and bioethanol infrastructure system design and resource allocation.  Chien-Wei earned his BS in Traffic Transportation Engineering and Management from Feng-Chia University and a MS in Transportation Engineering and Management from National Chiao-Tung University in Taiwan.