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Handbook of CO₂ in Power Systems pp 327–347Cite as

CO2 Capture: Integration and Overall System Optimization in Power Applications

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Part of the book series: Energy Systems ((ENERGY))

Abstract

It is generally accepted that CO2 capture and storage technologies (CCS) will play an essential role in the reduction of greenhouse gases emission in a medium-large term. Despite the research efforts devoted to the development of more efficient capture processes, two of the main challenges of CCS are the efficiency penalty caused by the CO2 separation, compression and conditioning, and the economic cost. Consequently, the minimizations of the energy requirements and/or the CO2 avoided cost are the research priorities for the future implementation of CCS technology.

The objective of this chapter is to describe some examples of minimizing the CO2 avoided cost in several applications of CCS. The first example illustrates a preliminary analysis for the selection of the appropriate option to overcome the energy requirement for regeneration in an amine scrubbing CCS application. The second case presents a problem for minimizing CCS cost depending on several operational variables in an emerging and promising option for CO2 capture. The last example shows a formal optimization problem with a different objective function, minimizing the cost penalties associated to CO2 compression. It is concluded that optimization will provided essential information to select the adequate process layout and the proper operational variables supported by the concepts of the Second Law Analysis of Thermodynamics.

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Abbreviations

CAPEX:

Capital costs

CB:

Carbonator

CCS:

Carbon capture and storage

CFB:

Circulating fluidized bed

Ci:

Cost indexes

CL:

Calciner

COE:

Cost of electricity

CO2kWh−1 :

Specific CO2 emissions

EC:

Energy cost

EP:

Electricity production

ERi :

Energy requirements

F:

Annuity factor

GT:

Gas turbine

HRSG:

Heat recovery steam generator

IPCC:

Intergovernmental Panel on Climate Change

K:

Sorbent deactivation constant

MEA:

Monoetalonamine

N:

Number of sorbent cycles

NG:

Natural gas

OF:

Objective function

OPEX:

Operation and maintenance costs

XN :

Average sorbent activity

Xr :

Residual sorbent activity

Capture:

Capture system process (with the power plant)

Max:

Maximum value

Ref:

Reference case (usually power plant without capture system)

sb:

Steam bleeding

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Authors and Affiliations

  1. Centro de Investigación de Recursos y Consumos Energéticos (CIRCE), Universidad de Zaragoza, Centro Politécnico Superior, Mariano Esquillor, 15, 50018, Zaragoza, Spain

    Luis M. Romeo

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  1. Luis M. Romeo
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Correspondence to Luis M. Romeo .

Editor information

Editors and Affiliations

  1. , Department of Industrial & Management Sy, West Virginia University, Evansdale Drive 401, Morgantown, 26506-6070, West Virginia, USA

    Qipeng P. Zheng

  2. , Division of Economics and Business, Colorado School of Mines, 15th Street 816, Golden, 80401, Colorado, USA

    Steffen Rebennack

  3. , Department of Industrial & Systems Engin, University of Florida, Weil Hall 401, Gainesville, 32611, Florida, USA

    Panos M. Pardalos

  4. Rio Praia de Botafogo, Centro Empresarial, -A-Botafogo 2281701, Rio de Janeiro, 22250-040, Rio de Janeiro, Brazil

    Mario V. F. Pereira

  5. Research & Development, EnerCoRD - Energy Consulting,, Plastira Street 4, Athens, 171 21, Greece

    Niko A. Iliadis

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Romeo, L.M. (2012). CO2 Capture: Integration and Overall System Optimization in Power Applications. In: Zheng, Q., Rebennack, S., Pardalos, P., Pereira, M., Iliadis, N. (eds) Handbook of CO₂ in Power Systems. Energy Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27431-2_15

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  • DOI: https://doi.org/10.1007/978-3-642-27431-2_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27430-5

  • Online ISBN: 978-3-642-27431-2

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