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Multi-objective optimization of CCUS supply chains for European countries with higher carbon dioxide emissions

  • Grazia Leonzio ORCID logo , Pier Ugo Foscolo and Edwin Zondervan
Published/Copyright: May 3, 2021
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Physical Sciences Reviews
From the journal Physical Sciences Reviews Volume 8 Issue 8

Abstract

This research work wants to overcome the gap present in the literature, reformulating our single optimization problems of a CCUS supply chain for Germany, Italy and the UK (European countries with higher carbon dioxide emissions) as bi-objective problems. The amount of captured carbon dioxide is maximized while total costs are minimized at the same time. Results show that, for solving this problem, the augmented ε-constraint method is more efficient than the traditional ε-constraint method, and the respective Pareto fronts with environmentally and economically efficient solutions are obtained. These plots are utilized to suggest scenarios for a decision maker, considering only the total costs objective function (the scenario with the minimum value of net total cost is selected) or both objective functions (the scenario with the shortest distance from the Utopia point is chosen). In the second option, the CCUS supply chain of Germany is that closest to the ideal conditions, even if the system has the highest costs.

Keywords: carbon dioxide emissions reduction; CCUS supply chain; mathematical model; multi objective optimization; Pareto optimal solutions
Corresponding author: Grazia Leonzio, Department of Industrial and Information Engineering and Economics, University of L’Aquila, Via Giovanni Gronchi 18, 67100 L’Aquila, Italy, E-mail:

Funding source: Universität Bremen

Funding source: Università degli Studi dell’Aquila

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: Grazia Leonzio would like to thank the University of L’Aquila and the University of Bremen (MAPEX grant) for funding this work.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2020-11-03
Accepted: 2021-01-25
Published Online: 2021-05-03

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/psr-2020-0055
Keywords for this article
carbon dioxide emissions reduction; CCUS supply chain; mathematical model; multi objective optimization; Pareto optimal solutions

Articles in the same Issue

  1. Frontmatter
  2. Reviews
  3. Influence of lime (CaO) on low temperature leaching of some types of bauxite from Guinea
  4. Ethnobotanical survey, phytoconstituents and antibacterial investigation of Rapanea melanophloeos (L.) Mez. bark, fruit and leaf extracts
  5. Catalytic properties of supramolecular polymetallated porphyrins
  6. Lignin-based polymers
  7. Bio-based polyhydroxyalkanoates blends and composites
  8. Biodegradable poly(butylene adipate-co-terephthalate) (PBAT)
  9. Repurposing tires – alternate energy source?
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  11. Polymeric membranes for biomedical applications
  12. Design of locally sourced activated charcoal filter from maize cob for wastewater decontamination: an approach to fight waste with waste
  13. Synthesis of biologically active heterocyclic compounds from allenic and acetylenic nitriles and related compounds
  14. Magnetic measurement methods to probe nanoparticle–matrix interactions
  15. Health and exposure risk assessment of heavy metals in rainwater samples from selected locations in Rivers State, Nigeria
  16. Evaluation of raw, treated and effluent water quality from selected water treatment plants: a case study of Lagos Water Corporation
  17. A chemoinformatic analysis of atoms, scaffolds and functional groups in natural products
  18. Hemicyanine dyes
  19. Thermodynamics of the micellization of quaternary based cationic surfactants in triethanolamine-water media: a conductometry study
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  29. Exergy analysis of an atmospheric residue desulphurization hydrotreating process for a crude oil refinery
  30. Development in nanomembrane-based filtration of emerging contaminants
  31. Supply chain optimization framework for CO2 capture, utilization, and storage in Germany
  32. Naturally occurring heterocyclic anticancer compounds
  33. Part-II- in silico drug design: application and success
  34. Advances in biopolymer composites and biomaterials for the removal of emerging contaminants
  35. Nanobiocatalysts and photocatalyst in dye degradation
  36. 3D tumor model – a platform for anticancer drug development
  37. Hydrogen production via water splitting over graphitic carbon nitride (g-C3N4 )-based photocatalysis
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