Skip to main content
Elsevier

Process Systems Engineering Tools for Industrial Decarbonization

  • 1st Edition - June 26, 2026
  • Latest edition
  • Editors: Dominic Foo, Raymond Tan, John Frederick Tapia
  • Language: English

Process Systems Engineering Tools for Industrial Decarbonization explores the latest mathematical methods driving large-scale adoption of technologies aimed at reducing carbon em… Read more

Back to School

Start strong. Study with purpose.

Save up to 25% on trusted learning resources

Shop now

Description

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.

Key features

  • 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

Readership

Academe and industry audience; Industry professionals: One of the main targets of industrial decarbonization is the energy sector, which are currently exploring ways to generate low-carbon energy; current, transitioning and incoming energy industry personnel; For the academic sector, the core student audience will be chemical and environmental engineering students (undergraduate students in the final two years or early graduate level students who have developed knowledge about the technology itself and have sufficient mathematical background to understand different systematic decision tools such as mathematical programming, P-graph, and pinch analysis); faculty researchers who intend to start on research related to industrial decarbonization.

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: June 26, 2026
  • Language: English

About the editors

DF

Dominic Foo

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.
Affiliations and expertise
Professor, Department of Chemical and Environmental Engineering, University of Nottingham Malaysia, Malaysia

RT

Raymond Tan

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.
Affiliations and expertise
Professor, Department of Chemical Engineering, De La Salle University Manila, Philippines

JT

John Frederick Tapia

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.
Affiliations and expertise
Professor, Department of Chemical Engineering, De La Salle University Manila, Philippines

View book on ScienceDirect

Read Process Systems Engineering Tools for Industrial Decarbonization on ScienceDirect