应“化工过程先进控制和优化技术”教育部重点实验室的邀请，美国工程院院士、普林斯顿大学Christodoulos A. Floudas教授将进行学术报告。

 

Hybrid Feedstock Energy Processes: Process Synthesis, Global Optimization, and Supply Chain Analysis

 

The primary aim in the discovery of hybrid energy processes is to combine coal, biomass, and natural gas to meet the United States transportation fuel demand. Part 1 will outline the needs and introduce novel hybrid feedstock coal, biomass, and natural gas to liquids (CBGTL) process alternatives within a superstructure framework. Part 2 will address important decisions at the process design and process synthesis level. A thermochemical based process superstructure, its mixed-integer nonlinear optimization (MINLP) model, and systematic approaches for its global optimization will be discussed. Simultaneous heat, power and water integration takes place at the process synthesis stage. Case studies will be presented along with their techno-economic analysis that determines the break-even price of crude oil (BEOP) and suggests that the CBGTL process is competitive with existing petroleum-based processes, while at the same time attains at least 50% reduction of GHG emissions. Part 3 will present a novel framework for the optimal energy supply chain of CBGTL processes which provides information on (i) the optimal plant locations throughout the country, (ii) the locations of feedstock sources, (iii) the interconnectivity between the feedstock source locations, CBGTL plants locations, and the demand locations, (iv) the modes of transportation used in each connection, and (v) the flow rate amounts of each feedstock and product type. Life cycle analysis on the nationwide energy supply chain shows that at least 50% reduction of GHG emissions is attainable.

 

Christodoulos A. Floudas is the Stephen C. Macaleer’63 Professor in Engineering and Applied Science, Professor of Chemical and Biological Engineering at Princeton University, Faculty in the Center for Quantitative Biology at Princeton University’s Lewis-Sigler Institute, Associated Faculty in the Program of Computational and Applied Mathematics at Princeton University, Department of Operations Research and Financial Engineering at Princeton University, and the Andlinger Center for Energy and the Environment.

 

Professor Floudas is the recipient of numerous awards and honors for teaching and research. In 2011, he was elected to the National Academy of Engineering, the highest U.S. honor for engineers through his contributions to theory, methods, and applications of global optimization in process systems engineering, computational chemistry, and molecular biology. He is a fellow of the Society for Industrial and Applied Mathematics, the Texas A&M Institute for Advanced Study, and the American Institute of Chemical Engineering. In addition to nearly 300 peer-reviewed journal articles, he has written and edited numerous books and chapters, and has delivered over 320 invited lectures, seminars, and named lectureships.

 

Professor Floudas has served on the Editorial Boards of AIChE Journal; Industrial Engineering Chemistry Research; Journal of Global Optimization; Computers and Chemical Engineering; Journal of Optimization Theory and Its Applications; Kluwer Book Series on Nonconvex Optimization and its Applications; Informatica; Journal of Computational Analysis and Applications; Optimization Letters; Int. Journal of Management Science and Engineering Management; Applied and Computational Mathematics; and Energy Systems. He is a world-renowned authority in mathematical modeling and optimization of complex systems. His research interests lie at the interface of chemical engineering, applied mathematics, and operations research, with principal areas of focus including chemical process synthesis and design, process control and operations, discrete-continuous nonlinear optimization, local and global optimization, and computational chemistry and molecular biology.