Planning of carbon capture and storage with pinch analysis techniques

被引:48
|
作者
Ooi, Raymond E. H. [1 ]
Foo, Dominic C. Y. [1 ]
Ng, Denny K. S. [1 ]
Tan, Raymond R. [2 ]
机构
[1] Univ Nottingham Malaysia, Dept Chem & Environm Engn, Ctr Excellence Green Technol, Semenyih 43500, Selangor, Malaysia
[2] De La Salle Univ, Dept Chem Engn, Ctr Engn & Sustainable Dev Res, Manila 1004, Philippines
来源
关键词
Carbon capture and storage; CO2 emission reduction; Process integration; Pinch analysis; Targeting; Source-sink matching; TIME OPTIMIZATION MODEL; CASCADE ANALYSIS; CAPACITY; CO2;
D O I
10.1016/j.cherd.2013.04.007
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Carbon capture and storage (CCS) is a means for reducing carbon dioxide (CO2) emissions from fossil fuel combustion in power generation and industrial processes. It involves the capture of CO2 for subsequent storage in various geological formations. The selection and matching of the power plants and storage sites are often an issue of optimisation due to various constraints, i.e., time of availability, injection rate, and storage capacity limits. In this work, a novel graphical targeting tool based on pinch analysis is proposed to address the planning problem of the storage of captured CO2 from power generating plants into corresponding reservoirs. The main consideration for the problem is the time of availability of the latter, since reservoirs need to be developed prior to CO2 storage. The time limitation is addressed by the graphical technique where time is taken as the governing element in solving the problem. Hypothetical examples are used to elucidate the proposed approach. (C) 2013 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:2721 / 2731
页数:11
相关论文
共 50 条
  • [1] A Pinch Analysis based Approach to Power System Planning with Carbon Capture
    Priya, Govindankutty S. Krishna
    Bandyopadhyay, Santanu
    [J]. PRES15: PROCESS INTEGRATION, MODELLING AND OPTIMISATION FOR ENERGY SAVING AND POLLUTION REDUCTION, 2015, 45 : 1603 - 1608
  • [2] Infrastructure planning for Carbon Capture and Storage
    Cheng, J.
    Dunstall, S.
    Elgindy, T.
    Reedman, L.
    Savelsbergh, M.
    [J]. 19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), 2011, : 3024 - 3030
  • [3] An analysis of research hotspots and modeling techniques on carbon capture and storage
    Li, Hui
    Jiang, Hong-Dian
    Yang, Bo
    Liao, Hua
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 687 : 687 - 701
  • [4] Role of geophysical techniques for carbon capture & storage
    Sunjay
    [J]. NEAR-SURFACE GEOPHYSICS AND GEOHAZARDS - PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL AND ENGINEERING GEOPHYSICS, VOLS 1 AND 2, 2010, : 930 - 935
  • [5] Graphical Targeting Tool for the Planning of Carbon Capture and Storage
    Ooi, Raymond E. H.
    Foo, Dominic C. Y.
    Ng, Denny K. S.
    Tan, Raymond R.
    [J]. PRES 2012: 15TH INTERNATIONAL CONFERENCE ON PROCESS INTEGRATION, MODELLING AND OPTIMISATION FOR ENERGY SAVING AND POLLUTION REDUCTION, 2012, 29 : 415 - 420
  • [6] A Pinch-Based Approach for Targeting Carbon Capture, Utilization, and Storage Systems
    Thengane, Sonal K.
    Tan, Raymond R.
    Foo, Dominic C. Y.
    Bandyopadhyay, Santanu
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, 58 (08) : 3188 - 3198
  • [7] Considering Carbon Capture and Storage in Electricity Generation Expansion Planning
    Saboori, Hedayat
    Hemmati, Reza
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2016, 7 (04) : 1371 - 1378
  • [8] Planning for an electricity sector with carbon capture and storage - Case of the Netherlands
    van den Broek, Machteld
    Faaij, Andre
    Turkenbury, Wim
    [J]. INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2008, 2 (01) : 105 - 129
  • [9] Multi Region Carbon Capture and Storage Network in Indonesia Using Pinch Design Method
    Putra A.A.
    Juwari
    Handogo R.
    [J]. Process Integration and Optimization for Sustainability, 2018, 2 (04) : 321 - 341
  • [10] Extended pinch targeting techniques for carbon-constrained energy sector planning
    Lee, Sin Cherng
    Ng, Denny Kok Sum
    Foo, Dominic Chwan Yee
    Tan, Raymond R.
    [J]. APPLIED ENERGY, 2009, 86 (01) : 60 - 67