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Process Systems Engineering Tools for Industrial Decarbonization

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Process Systems Engineering Tools for Industrial Decarbonization Dominic Foo
Libristo kod: 47208022
Nakladnici Elsevier Science, rujan 2025
In recent years, the world’s atmospheric C02 concentration has averaged 420 ppm, exceeding the criti... Cijeli opis
? points 407 b Pripremamo Pripremamo
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Očekivani novitet Izdanje 01. 08. 2026 Izdanje 01. 08. 2026

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In recent years, the world’s atmospheric C02 concentration has averaged 420 ppm, exceeding the critical level of sustainable and safe operating space for humanity. Although there are various technologies and tools to mitigate these effects brought on by climate change, there is a need to systematize these technologies with the aid of decision tools to gain insights on how efficiently decarbonize the industrial sector in a large scale.

Process Systems Engineering Tools for Industrial Decarbonization provides the current state-of-the-art mathematical tools for large-scale deployment of technologies underpinning low-carbon industrial processes and systems. This book will analyze various systematic approaches for planning, decision-making, and designing of systems for industrial decarbonization. It will provide both experts and readers with recent developments on methods that enable different technologies, such as CCUS, NETs, and other decarbonization techniques to be deployed in large-scale once the technology matures. These planning tools contributes to enable them to perform their expected contribution to sustainable and low-carbon future.



  • 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
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Informacije o knjizi

Puni naziv Process Systems Engineering Tools for Industrial Decarbonization
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2025
Broj stranica 250
EAN 9780443217210
ISBN 0443217211
Libristo kod 47208022
Nakladnici Elsevier Science
Težina 450
Dimenzije 191 x 235
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