Process Systems Engineering Tools for Industrial Decarbonization

Erscheinungsjahr 2026
ISBN: 978-0-443-21721-0
Verlag: Elsevier Science

Buch, Englisch, 344 Seiten, Format (B × H): 191 mm x 236 mm, Gewicht: 717 g

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.

Autoren/Hrsg.

Foo, Dominic

Tan, Raymond

Tapia, John Frederick

Fachgebiete

• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften Nachhaltige Landwirtschaft
• Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik

Inhaltsverzeichnis

Section 1: Carbon Capture, Utilisation & Storage (CCUS)
1. A Universal Platform for the Development and Evaluation of Various CO2 Conversion Processes
2. Design of Carbon Capture and Storage Network – A Case Study in Malaysia
3. Evaluation of CO2 Storage with Process System Engineering Methods – A Case Study in China
4. Selection of Geological Sinks for CO2 Utilization and Storage under Neutrosophic Environment
5. Bilevel Optimization of CO2 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

Über Autor(innen)

Tapia, John Frederick
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.

Foo, Dominic
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.

Tan, Raymond
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.