Jiangtao Lu

Postdoctoral researcher
Eindhoven University of Technology

Jiangtao Lu ARC CBBC

About myself

I am from Zhenjiang, Jiangsu, China. I got my joint bachelor’s degree from East China University of Science and Technology and Technische Hochschule Lübeck in 2011 and subsequently got my master’s degree from Universität Stuttgart in 2013. From 2014 to 2018, I was a PhD student in the Multi-scale Modelling of Multi-phase Flows Group, Eindhoven University of Technology. Since 2019 I started the PD position in the same group. During my spare time, I enjoy travelling to different countries and cooking various cuisines.

As a researcher, I am passionate about

As a chemical engineer, I am always interested in improving the efficiency of the realistic production processes in industry. Different from traditional experimental work in the laboratory, I have been doing research using computers, the so-called ‘numerical experiments’. All physical and chemical phenomena are understood and interpolated to mathematical equations, which can be discretized into algebraic equations and further implemented into computer language. Before getting fancy figures produced by computers, programming and debugging are the challenges I always enjoy.

At the moment I work on

In the ARC CBBC project, I collaborate with BASF to investigate the reactor technology for the reduction of metal oxide catalysts. In this project, I wish to develop a reactor model that will enable insight in the reduction processes, which will lead to improved reactor design and more sustainable operating conditions of the process in terms of energy efficiency, hydrogen consumption and metal resources. The reduction is a very complex process which involves reactor-scale transport, particle-scale transport and particle-scale chemical reactions. All these processes are transient and their mutual interplay prevail. In my project, I try to understand them better and use the insights to realize the optimal design of reactors. For that purpose, a multi-scale reactor model will be developed and experimentally validated using industrial data.

Within ARC CBBC, I wish to accomplish

The catalysts are widely used in the chemical process industry for the production of base chemicals and energy carriers. In this context, the deliverance of active and stable catalyst is of paramount importance for catalyst manufacturing companies as well as end-users of these catalysts.