In Türkiye, carbon dioxide emissions from the industrial sector represent the second-highest share among all sectors, following those from the energy sector. This study considers carbon capture and sequestration (CCS) chains for significantly reducing emissions from Turkish industrial sector, comprising cement plants, iron and steel facilities, and refineries. A nationwide CCS network is optimized using a mixed-integer linear programming (MILP) framework to minimize costs. The best economic optimization results indicate a minimum specific CO2 avoidance cost of 67 € per ton for achieving a 10% carbon reduction target (CRT), up to 86 € per ton for a 50% decarbonization.

Optimization of carbon capture and sequestration networks: A case study on hard-to-abate industry in Türkiye

Bezzo, Fabrizio;d'Amore, Federico
2025

Abstract

In Türkiye, carbon dioxide emissions from the industrial sector represent the second-highest share among all sectors, following those from the energy sector. This study considers carbon capture and sequestration (CCS) chains for significantly reducing emissions from Turkish industrial sector, comprising cement plants, iron and steel facilities, and refineries. A nationwide CCS network is optimized using a mixed-integer linear programming (MILP) framework to minimize costs. The best economic optimization results indicate a minimum specific CO2 avoidance cost of 67 € per ton for achieving a 10% carbon reduction target (CRT), up to 86 € per ton for a 50% decarbonization.
2025
International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025)
International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025)
File in questo prodotto:
File Dimensione Formato  
unpaywall-bitstream--708469357.pdf

accesso aperto

Tipologia: Published (Publisher's Version of Record)
Licenza: Creative commons
Dimensione 771.58 kB
Formato Adobe PDF
771.58 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3557207
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact