322
Views
1
CrossRef citations to date
0
Altmetric
Articles

An investigation of the cooling, heating and power systems integration with carbon capture and storage for LNG carriers

ORCID Icon & ORCID Icon
Pages 610-624 | Received 09 Aug 2022, Accepted 22 Mar 2023, Published online: 28 Mar 2023
 

ABSTRACT

This study investigates the cooling, heating and power (CHP) systems integration with the carbon capture and storage (CCS) for different LNG carriers. Different integration levels of conventional waste heat recovery, boil-off natural gas (BO-NG) reliquefaction, CO2 capture and liquefaction, and ORC systems are modelled and simulated using Aspen HYSYS. Thermoeconomic optimisation is also carried out using Genetic algorithm method. Results demonstrate that using CCS system is more cost-effective than paying European Union carbon tax for LNG carriers. Integrating the BO-NG and CO2 liquefaction cycles could reduce the total life cycle cost of the CCS system up to 17%. Optimised results show that selecting working pressure is very critical for the liquefaction of BO-NG and CO2. CHP system using ORC reduces the energy penalty of the CCS system, however, it increases the total life cycle cost of the system due to its initial cost and relatively low exergy efficiency.

Acknowledgements

We would like to thank Dr. Murat Emre Demir for his support in conducting this study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 293.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.