A Multi-scale Energy Systems Engineering Approach Towards Process Intensification & Energy Transitions Scenario Analysis
Multi-scale Energy Systems Engineering provides a methodological, generic framework to arrive at realistic integrated solutions to complex energy problems by adopting a holistic, system-based approach. This framework address the complex energy and environmental problems existing in design, control and operation of energy systems and their supply chains in an integrated manner, by producing optimal design and operational plans for systems ranging from nanoscale, micro-scale, mesoscale to mega-scale levels over horizons that range from milliseconds to months or years.
Methodologies in multi-scale energy systems engineering include superstructure optimization with high-fidelity models & data-driven modeling, mixed integer linear/non-linear optimization strategies, integrated design, control & operations under uncertainty, and life-cycle assessment. Such an approach is particularly suitable and powerful in the context of process intensification & modular design efforts (www.aihe.org/rapid) as well as in the analysis of future energy scenarios. We will illustrate the concepts and methods of such a holistic strategy by its application to (i) the RAPID/SYNOPSIS project, which focuses on the synthesis of operable process intensified systems via a phenomena-based representation, and (ii) a renewable resources utilization project, in collaboration with Shell - focusing on techno-economic scenario analysis of production & delivery of hydrogen-based Dense Energy Carriers.
Prof. Stratos Pistikopoulos
Professor Stratos Pistikopoulos is the Director of the Texas A&M Energy Institute and a Dow Chemical Chair Professor in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. He was a Professor of Chemical Engineering at Imperial College London, UK (1991-2015) and the Director of its Centre for Process Systems Engineering (2002-2009). He is also the Course Director of the Master of Science in Energy, the Director of the Data Sciences Core of the Texas A&M SUPERFUND research center, and the Texas A&M Principal Investigator of the RAPID Institute on process intensification, co-leading the Modeling & Simulation Focus Area.
He holds a Ph.D. degree from Carnegie Mellon University and he worked with Shell Chemicals in Amsterdam before joining Imperial. He has authored or co-authored over 500 major research publications in the areas of modelling, control and optimization of process, energy and systems engineering applications, 15 books and 3 patents. He is a co-founder of Process Systems Enterprise (PSE) Ltd, a Fellow of AIChE and IChemE and the current Editor-in-Chief of Computers & Chemical Engineering. He is a past Chair of the Computing and Systems Technology (CAST) Division of AIChE and served as a trustee of the Computer Aids for Chemical Engineering (CACHE) Organization (2014-2019).
In 2007, Prof. Pistikopoulos was a co-recipient of the prestigious MacRobert Award from the Royal Academy of Engineering; in 2020, he received the Sargent Medal from IChemE, UK. In 2012, he was the recipient of the Computing in Chemical Engineering Award of CAST/AIChE. He received the title of Doctor Honoris Causa from the University Politehnica of Bucharest in 2014, and from the University of Pannonia in 2015. In 2013, he was elected Fellow of the Royal Academy of Engineering in the UK.