Optimal operation of MEA-based post-combustion carbon capture for natural gas combined cycle power plants under different market conditions

Luo, Xiaobo; Wang, Meihong

Abstract

Carbon capture for fossil fuel power generation attracts an increasing attention in order to address the significant challenge of global climate change. This study aims to explore the optimal operation under different market conditions for an assumed existing natural gas combined cycle (NGCC) power plant integrated with MEA-based post-combustion carbon capture (PCC) process. The steady state process models for NGCC power plant, PCC process and CO₂ compression train were developed in Aspen Plus® to give accurate prediction of process performance. Levelised cost of electricity (LCOE) is formulated as the objective function in optimization studies. Economic evaluation was carried out for the base case of the integrated system including CO₂ transport and storage (T&S). The optimal operations were investigated for the carbon capture level under different carbon price, fuel price and CO₂ T&S price. The study shows that carbon price needs to be over €100/ton CO₂ to justify the total cost of carbon capture from the NGCC power plant and needs to be €120/ton CO₂ to drive carbon capture level at 90%. Higher fuel price and CO₂ T&S price would cause a higher operating cost of running carbon capture process thus a higher carbon price is needed if targeted carbon capture level is to be maintained.

Citation

Luo, X., & Wang, M. (2016). Optimal operation of MEA-based post-combustion carbon capture for natural gas combined cycle power plants under different market conditions. International journal of greenhouse gas control, 48(Part 2), 312-320. https://doi.org/10.1016/j.ijggc.2015.11.014

• Journal Article Type: Article
• Acceptance Date: Nov 12, 2015
• Online Publication Date: Nov 30, 2015
• Publication Date: 2016-05
• Deposit Date: Feb 3, 2016
• Publicly Available Date: Nov 23, 2017
• Journal: International journal of greenhouse gas control
• Print ISSN: 1750-5836
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 48
• Issue: Part 2
• Pages: 312-320
• DOI: https://doi.org/10.1016/j.ijggc.2015.11.014
• Keywords: CCS; Carbon capture; Process optimization; Process simulation; NGCC power plant
• Public URL: https://hull-repository.worktribe.com/output/384735
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S1750583615301304
• Additional Information: Authors' accepted manuscript of article published in: International journal of greenhouse gas control, 2016, v.48, part 2.
• Contract Date: Nov 23, 2017