A multi-objective multi-period optimization of carbon integration networks in industrial parks

Dhabia M. Al-Mohannadi, Patrick Linke, N. Shah

Research output: Chapter in Book/Report/Conference proceedingChapter


The direct link between climate change and anthropogenic industrial activity resulted in a need more prominent than ever to cut emissions. At the Paris climate conference (COP21), 195 countries adopted a legally binding global climate deal to put the world on track to avoid dangerous climate change effects. This sets a challenge for many countries to draft sustainable climate policies by 2030. Climate change has social, environmental and economic consequences. Therefore, it is important to understand the impact of these interconnected factors on climate strategies. Multi-period carbon integration allows carbon reduction over a certain time horizon. The multi-period planning approach identified allocation of carbon dioxide between sources and potential sinks in each period, compared cost elements simultaneously and resulted in a low cost network across all periods. In this work the approach was expanded to evaluate two conflicting objectives. An example was solved to assess climate policies under two objectives. Good carbon reductions were achieved.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Number of pages6
Publication statusPublished - 1 Jan 2019

Publication series

NameComputer Aided Chemical Engineering
ISSN (Print)1570-7946



  • carbon dioxide reduction
  • climate policy
  • Optimization
  • renewable energy
  • sustainability

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Al-Mohannadi, D. M., Linke, P., & Shah, N. (2019). A multi-objective multi-period optimization of carbon integration networks in industrial parks. In Computer Aided Chemical Engineering (pp. 487-492). (Computer Aided Chemical Engineering; Vol. 46). Elsevier B.V.. https://doi.org/10.1016/B978-0-12-818634-3.50082-5