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Foo / Tan / Tapia

Process Systems Engineering Tools for Industrial Decarbonization

Medium: Buch
ISBN: 978-0-443-21721-0
Verlag: Elsevier Science
Erscheinungstermin: 01.08.2026
vorbestellbar, Erscheinungstermin ca. August 2026

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.


Produkteigenschaften


  • Artikelnummer: 9780443217210
  • Medium: Buch
  • ISBN: 978-0-443-21721-0
  • Verlag: Elsevier Science
  • Erscheinungstermin: 01.08.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Produktform: Kartoniert
  • Gewicht: 450 g
  • Seiten: 250
  • Format (B x H): 191 x 235 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.

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