Planning of carbon capture storage deployment using process graph approach

被引:32
作者
Chong, Fah Keen [1 ]
Lawrence, Kelvin Kuhanraj [1 ]
Lim, Pek Peng [1 ]
Poon, Marcus Chinn Yoong [1 ]
Foo, Dominic Chwan Yee [1 ]
Lam, Hon Loong [1 ]
Tan, Raymond R. [2 ]
机构
[1] Univ Nottingham Malaysia Campus, Ctr Excellence Green Technol, Dept Chem & Environm Engn, Semenyih 43500, Selangor, Malaysia
[2] De La Salle Univ, Ctr Engn & Sustainable Dev Res, Dept Chem Engn, Manila 1004, Philippines
关键词
Process graph; Greenhouse gases emissions; Power plant retrofit; Process synthesis; Process optimisation; TIME OPTIMIZATION MODEL; CO2; CAPTURE; POWER-PLANT; EMISSIONS; SEPARATION; NETWORKS; SECTOR; CYCLE; TECHNOLOGY;
D O I
10.1016/j.energy.2014.08.060
中图分类号
O414.1 [热力学];
学科分类号
摘要
Carbon capture and storage (CCS) is an emerging technology to mitigate carbon dioxide (CO2) emissions from industrial sources such as power plants. However, retrofitting a power plant for carbon capture causes an increase in unit power cost due to parasitic power losses as well as capital outlays for additional process equipment. Mathematical optimisation and pinch analysis techniques have been used to systematically plan for the retrofit of power plants. In this work, the planning of power plants retrofit along with CO2 source-sink matching is analysed using process graph (P-graph) optimisation technique. CO2 sources are assumed to be characterised by fixed flowrates and operating lives; while CO2 sinks are characterised by storage capacity limits and earliest time of availability. Illustrative case studies are solved to demonstrate the approach. (C) 2014 Published by Elsevier Ltd.
引用
收藏
页码:641 / 651
页数:11
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