Simulation-based techno-economic evaluation for optimal design of CO2 transport pipeline network

Xiaobo Luo, Meihong Wang, Eni Oko and Chima Okezue

Applied Energy, 2014, vol. 132, issue C, 610-620

Abstract: For large volumes of carbon dioxide (CO2) onshore and offshore transportation, pipeline is considered the preferred method. This paper presents a study of the pipeline network planned in the Humber region of the UK. Steady state process simulation models of the CO2 transport pipeline network were developed using Aspen HYSYS®. The simulation models were integrated with Aspen Process Economic Analyser® (APEA). In this study, techno-economic evaluations for different options were conducted for the CO2 compression train and the trunk pipelines respectively. The evaluation results were compared with other published cost models. Optimal options of compression train and trunk pipelines were applied to form an optimal case. The overall cost of CO2 transport pipeline network was analyzed and compared between the base case and the optimal case. The results show the optimal case has an annual saving of 22.7M€. For the optimal case, levelized energy and utilities cost is 7.62€/t-CO2, levelized capital cost of trunk pipeline is about 8.11€/t-CO2 and levelized capital cost of collecting system is 2.62€/t- CO2. The overall levelized cost of the optimal case was also compared to the result of another project to gain more insights for CO2 pipeline network design.

Keywords: CCS; CO2 transport; Pipeline transport; Process simulation; Economic evaluation (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261914007466
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:132:y:2014:i:c:p:610-620

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2014.07.063

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().