Process Systems Engineering Tools for Industrial Decarbonization explores the latest mathematical methods driving large-scale adoption of technologies aimed at reducing carbon emissions in industrial systems. By examining systematic strategies for planning, decision-making, and designing low-carbon industrial processes, the book offers readers―both experts and newcomers―a comprehensive understanding of how recent advances in process engineering can support a sustainable future. Special emphasis is placed on the integration and optimization of cutting-edge technologies such as Carbon Capture, Utilization, and Storage (CCUS), Negative Emission Technologies (NETs), and other innovative decarbonization solutions as they mature and become viable at scale.
Beyond technical frameworks, the book addresses the urgent need to manage rising atmospheric CO₂ levels, which now average 420 ppm―well above safe thresholds. It highlights the importance of using decision-making tools to efficiently deploy and systematize available technologies, ensuring the industrial sector contributes effectively to climate mitigation.
- Presents the most recent developments in process systems engineering of technologies for industrial decarbonization
- Introduces methods for decision-making involving low- carbon technologies under uncertainty
- Explores case studies that demonstrate the use of mathematical tools for CCUS systems
- Provides insights into developing strategies for deploying technologies for industrial decarbonization
Dominic C.Y. Foo is a professor of process design and integration at the University
of Nottingham Malaysia and founding director of the Centre for Green Technologies.
A fellow of the Institution of Chemical Engineers (IChemE), Institution of Engineers
Malaysia (IEM), and Academy of Sciences Malaysia, he is a leading scholar in resource
conservation and CO2 reduction. He has also been on the Stanford University List of
World Top 2% Scientists since the year 2020.
Raymond R. Tan is a full professor, university fellow, and Vice-Chancellor for
Research and Innovation at De La Salle University, Philippines. He specializies in
process systems engineering and process integration. He is a National Scientist of the
Philippines, and has also been on the Stanford University List of World Top 2% Scientist
since year 2020.
John Frederick D. Tapia is a professor at De La Salle University, Philippines. His
work focuses on optimization tools for carbon capture, utilization and storage (CCUS)
and the oil palm value chain. Current research interests include development of decision-
making tools and optimization models under neutrosophic uncertainty, applied to
systems such as CCUS, process networks, and decarbonization technologies. He has also
been on the Stanford University List of World Top 2% Scientists for 2025.
