Membrane properties required for post-combustion CO2 capture at coal-fired power plants

被引:93
|
作者
Roussanaly, Simon [1 ]
Anantharaman, Rahul [1 ]
Lindqvist, Karl [1 ]
Zhai, Haibo [2 ]
Rubin, Edward [2 ]
机构
[1] SINTEF Energy Res, Sem Saelandsvei 11, NO-7465 Trondheim, Norway
[2] Carnegie Mellon Univ, Dept Engn & Publ Policy, Pittsburgh, PA 15213 USA
基金
美国国家科学基金会;
关键词
Post-combustion CO; capture; Membrane separation; Membrane properties; Coal power plant; Techno-economic benchmarking; CARBON-DIOXIDE; TECHNOECONOMIC PERFORMANCE; MULTICRITERIA ASSESSMENT; FACILITATED TRANSPORT; HYBRID MEMBRANE; FLUE-GAS; FEASIBILITY;
D O I
10.1016/j.memsci.2016.03.035
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This paper focuses on the identification of membrane properties required to enable cost-competitive post-combustion CO2 capture from a coal power plant using membrane-based processes. In order to identify such properties, a numerical version of the attainable region approach proposed by Lindqvist et al., built as part of the of the iCCS tool developed by SINTEF Energy Research, is used to identify and assess the technical and cost performances of the optimal membrane process for a given set of membrane properties (selectivity and permeance). This numerical model is used to assess the cost performances of 1600 sets of membrane properties (selectivity and permeance) for post-combustion CO2 capture from a coal power plant as defined by the European Benchmarking Task Force and compare it with the reference commercial solvent concept (MEA) to identify the membrane properties required in a base case that treats both membrane- and MEA-based processes as mature and developed. The results show that to reach this competiveness with simple process configurations requires a permeance of at least 3 m(3)(STP)/(m(2).h.bar) with high selectivity, or alternatively a selectivity of at least 65 with high permeances. These limits can be reduced to permeances as low as 1 m(3)(STP)/(m(2).h.bar) with high selectivity, or selectivities as low as 30 with high permeances, when advanced membrane process configurations are being considered. The assessments of five additional cases quantify how additional costs associated with demonstration projects and higher membrane module costs can significantly increase the selectivities and permeances required to compete with MEA based capture. In order to link the membrane development works to the results presented in this paper, the constraint introduced by Robeson's upper bound limitation, as well as data available in the literature on membrane modules and polymeric materials, are compared with the results obtained. The inclusion of the upper bound shows that the capacity to generate thin membrane film layers is important in order to avoid reducing the range of membrane properties, in which diffusion governed membrane can be interesting in term of cost performances, especially in cases that take demonstration and/or higher module costs into consideration. The comparison with literature data shows that while several membranes and polymeric materials have the potential to be cost-competitive with further properties improvements, and once membrane-based CO2 capture becomes mature and demonstrated, financial support will be required to demonstrate and help mature the technology. Finally, ways to use the results presented here for membrane development by membrane development experts, for membrane selection by industrial users, and for technology development and demonstration support by decision-makers are discussed. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:250 / 264
页数:15
相关论文
共 50 条
  • [41] Conventional and Advanced Exergy Analysis of Post-combustion CO2 Capture in the Context of Supercritical Coal-Fired Power Plant
    Olaleye, Akeem K.
    Wang, Meihong
    EXERGY FOR A BETTER ENVIRONMENT AND IMPROVED SUSTAINABILITY 1: FUNDAMENTALS, 2018, : 1235 - 1248
  • [42] China baseline coal-fired power plant with post-combustion CO2 capture: 2. Techno-economics
    Singh, Surinder
    Lu, Haoren
    Cui, Qian
    Li, Chufu
    Zhao, Xinglei
    Xu, Wenqiang
    Ku, Anthony Y.
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2018, 78 : 429 - 436
  • [43] Optimal design for double reheat coal-fired power plants with post-combustion CO2 capture: A novel thermal system integration with a carbon capture turbine
    Fu, Wenfeng
    Wang, Lanjing
    Yang, Yongping
    ENERGY, 2021, 221
  • [44] Integration of post-combustion capture and storage into a pulverized coal-fired power plant
    Sanpasertparnich, Teerawat
    Idem, Raphael
    Bolea, Irene
    deMontigny, David
    Tontiwachwuthikul, Paitoon
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2010, 4 (03) : 499 - 510
  • [45] Modeling and simulation of the start-up process of coal fired power plants with post-combustion CO2 capture
    Marx-Schubach, Thomas
    Schmitz, Gerhard
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2019, 87 : 44 - 57
  • [46] Partial O2-fired coal power plant with post-combustion CO2 capture: A retrofitting option for CO2 capture ready plants
    Doukelis, A.
    Vorrias, I.
    Grammelis, P.
    Kakaras, E.
    Whitehouse, M.
    Riley, G.
    FUEL, 2009, 88 (12) : 2428 - 2436
  • [47] Techno-economic analysis of a 300 MWe coal-fired power plant retrofitted with post-combustion CO2 capture
    Zhang, Dan
    Xu, Minghou
    Li, Aijun
    ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, 2012, 7 : S201 - S208
  • [48] Flexible operation of coal-fired power plant integrated with post combustion CO2 capture
    Liao, Peizhi
    Wu, Xiao
    Li, Yiguo
    Wang, Meihong
    Shen, Jiong
    Sun, Bo
    Pan, Lei
    INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 4810 - 4815
  • [49] A novel flue gas pre-treatment system of post-combustion CO2 capture in coal-fired power plant
    Yan, Min
    Li, Yuzhong
    Chen, Guifang
    Zhang, Liqiang
    Mao, Yanpeng
    Ma, Chunyuan
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2017, 128 : 331 - 341
  • [50] Upgrading the integration of supercritical coal-fired power plant with post-combustion CO2 capture process through process simulation
    Liu, Xiaoyan
    Yu, Yanmei
    Chen, Jian
    INTERNATIONAL JOURNAL OF GLOBAL WARMING, 2017, 12 (02) : 149 - 163