- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full 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.
Contents
1: A state-of-the-art review of mathematical tools for industrial decarbonization
2 to 3: Optimization of Energy Systems with Negative Emissions Technologies (NETs) using Mathematical Programming Approaches
4. to 5. Carbon-constrained Energy Planning with CCUS using Mathematical Programming Approaches
6. to 7. P-graph Approaches for Industrial Decarbonization with CCUS Technology
8. to 9. P-graph Approaches for Biomass and Bioenergy for Industrial Decarbonization
10. to 11. Pinch Analysis and Targeting Techniques for Industrial Decarbonization
