Qunhong Tian
Robust and stepwise optimization design for CO2 pipeline transportation
Tian, Qunhong; Zhao, Dongya; Li, Zhaomin; Zhu, Quanmin
Abstract
© 2017 Elsevier Ltd Carbon capture, utilization, storage (CCUS) technology is an effective means to reduce the CO2 emissions. It has been noted that engineering and economic design of the pipeline transportation are important components for CCUS. However, the uncertainties of the pipeline transportation model may make an infeasible design in practice and cause unnecessary cost. In this paper, a novel robust optimization method is proposed for CO2 pipeline transportation design, which can deal with the multiple uncertainties. A stepwise method is presented to further improve the optimization performance. The proposed optimal algorithm is validated by using numerical studies, which shows that the proposed approach can deal with the multiple uncertainties and improve the design performance in comparison with the existing
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 3, 2017 |
Online Publication Date | Jan 18, 2017 |
Publication Date | Mar 1, 2017 |
Deposit Date | Jan 24, 2017 |
Publicly Available Date | Jan 18, 2018 |
Journal | International Journal of Greenhouse Gas Control |
Print ISSN | 1750-5836 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 58 |
Pages | 10-18 |
DOI | https://doi.org/10.1016/j.ijggc.2017.01.003 |
Keywords | CO2 emissions, pipeline transportation, uncertainties, robust optimization, stepwise optimization |
Public URL | https://uwe-repository.worktribe.com/output/897872 |
Publisher URL | http://dx.doi.org/10.1016/j.ijggc.2017.01.003 |
Contract Date | Jan 24, 2017 |
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