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                                                                  學術報告:Complex Systems: System Design, Economic Operation and Beyond
                                                                  時間:2016-12-12 來源:綜合辦 編輯:zhbgs 訪問次數:322

                                                                  報告人:Dr. Rui Huang

                                                                  United Technologies Research Center, East Hartford, CT USA

                                                                  時間: 1219日週一下午 15:00-16:00

                                                                  地點:钱柜工控新樓 211

                                                                   

                                                                  Abstract:

                                                                  The current market conditions require smart manufacturing based on accurate modeling, simulation and optimization. The advances of algorithm and software enable us to solve large-scale simulation and optimization problems, which improve the economic performances of interdisciplinary applications. This talk summarizes the industrial perspectives and applications of process system engineering within the United Technologies.

                                                                  1. In the first part of the talk, I will discuss the system engineering approaches in the system design with applications of vapo compression systems and highlight the use of optimization-based workflows. 

                                                                  2. In the second part of the talk, I will demonstrate the economic benefit of instantaneous system operation in the current fast-changing market. 10% cost reduction of applying the dynamic real time optimization on an industrial size air separation unit. In addition, I will show online computational delay is reduced by two orders of magnitude using the advanced step algorithm. Lastly theoretical properties of the dynamic real time optimization are analyzed.

                                                                  3. Finally, I will talk about an efficient to use the Augmented  Lagrangian algorithm to improve the optimization solution time on an embedded optimization platform.

                                                                        

                                                                  Biography:

                                                                  Dr. Huang is a research scientist in the United Technologies Research Center. He works within the system dynamics and optimization domain providing technical expertise and direction in the areas of optimization, advanced control and operation research, utilizing his skills in large-scale optimization, and associated software tools and platforms. From 2014-2015, he was an adjunct faculty in the Department of Engineering and Science in Rensselaer Polytechnic Institute at Hartford, teaching control and optimization courses. He has published over 10 journal papers and many conference papers. He is on the technical advisory committee for Chemical Process Control and Foundation of Computer-Aided Process Operations Conferences in 2017. He also organized Workshop on Smart Grid for Chemical Process Industry, served as a guest editor for the Control Engineering Practice and the American Control Conference. Dr. Huang received his PhD in Chemical Engineering Department at Carnegie Mellon University, advised by Prof. Lorenz Biegler. He obtained both MS and BS degrees from Zhejiang University, China. In addition, he worked as a research intern in Robert Bosch Research Center 2010.