Optimize refining operations using plant digital twin based on molecular modeling
A new era of the energy revolution has arrived with the rapid growth of innovative technologies that utilize alternative energy resources, such as electricity, solar, wind and hydrogen, and an increasing demand for sustainable use of natural resources.
IP: 3.138.36.168
This is a preview of our premium content. Thank you for your interest—please
log in or
subscribe to read the full article.
The Authors
Hou, Z. - Aspen Technology, Bedford, Massachusetts
Zhen Hou has worked in composition and kinetic modeling of complex systems for more than 20 yr and serves as a Principal Engineer at Aspen Technology to develop refinery-wide models for both conventional and unconventional oils. He holds a PhD in chemical engineering from Rutgers University.
Wang, S. - Aspen Technology, Bedford, Massachusetts
Shu Wang has been with AspenTech for 14 yr and serves as Technology Director and leads the physical properties group to develop and research innovative technologies, such as molecular modeling. Dr. Wang holds a PhD in chemical engineering from the University of Delaware.
Campbell, D. - Aspen Technology, Bedford, Massachusetts
Darin Campbell has been with Aspen Technology for 24 yr and serves as Director of research and development for refining and upstream. Dr. Campbell earned a BS degree in chemical engineering from Purdue University, and a PhD in chemical engineering from the University of Delaware.
Chan, W. - Aspen Technology, Bedford, Massachusetts
Willie Chan serves as Chief Technology Officer at AspenTech, with responsibilities for technology strategy, including initiatives on industrial AI and sustainability. Mr. Chan was a member of the MIT ASPEN Project that later became AspenTech, and holds BS and MS degrees in chemical engineering from MIT.
Related Articles
From the Archive
Comments