Integrated Hybrid Life Cycle Optimization for Multi-Scale Sustainability Analytics of Energy Systems
Sun / 01.07. @ 11:30
As evidenced by the recent Paris Agreement on climate change and the public’s increasing interests in carbon footprints, environmental sustainability issues are becoming more prevalent in the thoughts and actions of many people around the world. Systems analysis and optimization methods from a life cycle perspective are playing an increasingly important role in the transition of current energy systems towards a sustainable future. This talk will review recent advances in the area of life cycle optimization for sustainability analytics of energy systems. We will specifically focus on a multi-scale life cycle optimization framework that accounts for and optimizes the direct and indirect environmental impacts from the foreground process systems scale and from the background macroeconomic scale through the integration of process systems optimization with economic input-output-based models. The life cycle optimization methods can also be combined ith computable general equilibrium models for minimizing environmental impacts resulted from the global land use changes. Applications of these general computational frameworks will be illustrated by case studies on bioenergy/biofuels and on shale gas energy systems. We will conclude with a brief review of multi-scale applications of life cycle optimization methods from materials to global scales.
Prof. Fengqi You
Ithaca, New York, United States
Fengqi You is the Roxanne E. and Michael J. Zak Professor at Cornell University (Ithaca, New York). He was on the faculty of Northwestern University from 2011 to 2016, and worked at Argonne National Laboratory as an Argonne Scholar from 2009 to 2011. He has published more than 110 peer-reviewed articles in leading journals, and has an h-index of 43. Some of his research results have been editorially highlighted in Nature, featured on journal covers (e.g. Energy & Environmental Science, ACS Sustainable Chemistry & Engineering, and Industrial & Engineering Chemistry Research), and covered by major media outlets (e.g. The New York Times, BBC, BusinessWeek, and National Geographic). His recent awards include American Institute of Chemical Engineers (AIChE) W. David Smith, Jr. Publication Award (2011), Northwestern-Argonne Early Career Investigator Award (2013), National Science Foundation CAREER Award (2016), AIChE Environmental Division Early Career Award (2017), AIChE Sustainable Engineering Research Excellence Award (2017), and ACS Sustainable Chemistry & Engineering Lectureship Award (2018), as well as a number of best paper awards and most-cited article recognitions. He is currently an Associate Editor of Computers & Chemical Engineering, a Consulting Editor of AIChE Journal, and an editorial board member of several leading journals (e.g. ACS Sustainable Chemistry & Engineering). His research focuses on the development of novel computational models, optimization algorithms, statistical machine learning methods, and systems analysis tools for process manufacturing, energy systems, smart agriculture, and sustainability. More information about his research group can be found from the website: http://you.cbe.cornell.edu