The overall objectives of my research are to develop advanced modeling, design, optimization and control framework and tool for the advanced manufacturing, clean energy manufacturing, and renewable energy manufacturing under uncertainty. In general, hybrid energy systems design and synthesis, integrated CO₂ capture and conversion system design and synthesis, integrated design, scheduling and control for multi-product chemical processes and energy systems are three main topics.

For the topic of hybrid energy systems design and synthesis, I will firstly point out the importance for developing an efficient hybrid simulation-optimization framework for checking the economic and environmental performance of energy conversion system under various scenarios including the combination of different feedstocks, the combination of different conversion routes, and the combination of final products. I will also discuss the possibility for integrating the energy conversion system with conventional petroleum refinery and petrochemical processes.

For the integrated CO₂ capture and CO₂ conversion system design and synthesis. I will firstly discuss the methods for optimally designing and synthesizing the stand-alone CO₂ capture or CO₂ conversion process. I will then formulate the complex mathematical model for reveal the optimal topology of integrated CO₂ capture and conversion system. In this topic, we will investigate the formulation of centralized structure and the distributed-centralized structure for CO₂ value chain.

The integrated design, scheduling and control will be investigated to promote the smart/advanced manufacturing. In detail, we will develop a novel mathematical model driven framework. Correspondingly, the high-efficient robust optimization will be pursued to solve the formulated model under uncertainty. We will also plan to update the framework to a generic one through the various applications including the two-stage-rise catalytic pyrolysis process and a novel multi-product energy conversion system.