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 CO? 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.
Table of Contents
Section 1: Carbon Capture, Utilisation & Storage (CCUS)
1. A Universal Platform for the Development and Evaluation of Various CO? Conversion Processes
2. Design of Carbon Capture and Storage Network
A Case Study in Malaysia
3. Evaluation of CO? Storage with Process System Engineering Methods
A Case Study in China
4. Selection of Geological Sinks for CO? Utilization and Storage under Neutrosophic Environment
5. Bilevel Optimization of CO? Networks with P-graph
Section 2: Negative Emission Technologies
6. Multi-footprint Optimization of Integrated Negative Emissions Technology Portfolios
7. Criticality Analysis in Negative Emissions Technologies Network
8. Development of a Rough Set-Based Model for Predicting the Change in Biochar Properties after Field Application
Section 3: Carbon Footprint Reduction
9. Carbon Footprint Reduction for an Infant Milk Production Process
10. Graphical Approach to Multi-Scope Carbon Footprint Reduction
11. Systematic Graphical Framework for Multiple Footprints Reduction for a Multi-Product Plant
Section 4: Energy Efficiency
12. Heat Exchange Network Design and Optimisation
13. Design and Optimization Approach for Sustainable Rankine Cycle Systems
Concluding
14. Research Roadmap for Computing Solutions in Carbon Management
Authors
Dominic Foo Professor of Process Design and Integration, Center of Excellence for Green Technologies, University of Nottingham Malaysia, Malaysia. Dominic Foo is a Professor of Process Design and Integration at the University of Nottingham Malaysia and is the Founding Director for the Centre of Excellence for Green Technologies. He is a Fellow of the Institution of Chemical Engineers (IChemE), Fellow of the Academy of Sciences Malaysia (ASM), Fellow of the Institution of Engineers Malaysia (IEM), Chartered Engineer (CEng) with the Engineering Council UK, Professional Engineer (PEng) with the Board of Engineer Malaysia (BEM), ASEAN Chartered Professional Engineers (ACPE), as well as the President for the Asia Pacific Confederation of Chemical Engineering (APCChE). He is top 1% world-renowned scientist according to Stanford List, working in process integration for resource conservation and CO2 reduction. Professor Foo is an active author, with eight books, more than 190 journal papers and made more than 240 conference presentations, with more than 30 keynote/plenary speeches. Professor Foo is the Editor-in-Chief for Process Integration and Optimization for Sustainability (Springer Nature), Subject Editor for Process Safety & Environmental Protection (Elsevier), and editorial board members for several other renowned journals. He is the winners of the Innovator of the Year Award 2009 of IChemE, Young Engineer Award 2010 of IEM, Outstanding Young Malaysian Award 2012 of Junior Chamber International (JCI), Outstanding Asian Researcher and Engineer 2013 (Society of Chemical Engineers, Japan), and Top Research Scientist Malaysia 2016 (ASM). Raymond Tan Professor, Department of Chemical Engineering, De La Salle University Manila, Philippines. Raymond Tan is a full professor of chemical engineering, University Fellow and current Vice-Chancellor for Research and Innovation at De La Salle University, Manila, Philippines. His main areas of research are process systems engineering (PSE) and process integration (PI). Professor Tan received his BS and MS degrees in chemical engineering and PhD in mechanical engineering from De La Salle University. He has authored more than 220 Scopus-listed publications and is co-editor-in-chief of Process Integration and Optimization for Sustainability (Springer/Nature), subject editor of Sustainable Production and Consumption (Elsevier/IChemE), and an editorial board member of Clean Technologies and Environmental Policy (Springer/Nature) and Int. J. of Supply Chain and Operations Resilience (Inderscience). He is also editor of the books Recent Advances in Sustainable Process Design and Optimization (World Scientific) and Process Design Strategies for Biomass Conversion Systems (Wiley). John Frederick Tapia Associate Professor, Department of Chemical Engineering, De La Salle University Manila, Philippines. John Frederick D. Tapia is an associate professor in the Department of Chemical Engineering at the De La Salle University, Manila, Philippines. He develops research on optimization tools such as for carbon, capture, utilization, and storage (CCUS) and oil palm value chain.The team has a combined H-index of 113. It is composed of a junior faculty (Dr. Tapia) whose experience is on the development of mathematical tools for planning and design of industrial systems such as CCUS, and oil palm value chain, and two professors (Prof Tan and Prof Foo) with extensive experience as editors on process integration and optimizations. Their background in industrial decarbonization research (e.g., CCUS, bioenergy, etc.) enables the development of high-quality book chapters that, together create a collection of systematic tools for industrial decarbonization.
