Energy Systems

, Volume 4, Issue 4, pp 315–353

Techno-economic analysis and optimization models for carbon capture and storage: a survey

  • Yuping Huang
  • Steffen Rebennack
  • Qipeng P. Zheng
Review Article

DOI: 10.1007/s12667-013-0086-0

Cite this article as:
Huang, Y., Rebennack, S. & Zheng, Q.P. Energy Syst (2013) 4: 315. doi:10.1007/s12667-013-0086-0

Abstract

Carbon dioxide (\(\hbox {CO}_2\)) emissions are projected to increase significantly during the coming decades if effective environmental policies are not implemented, and the negative impacts of carbon emissions will eventually hinder economic and human development. Carbon capture and storage is proposed to mitigate the global climate change due to the increased concentration of carbon dioxide in the atmosphere. In this article, we focus on the technical developments and economic analysis of carbon capture and storage using optimization models and algorithms. The three main components of carbon capture and storage we discuss are: carbon capture, carbon dioxide transportation and carbon sequestration. In addition, to fulfill carbon dioxide reduction requirements, we also discuss the use of mathematical programming models solving energy expansion planning, \(\hbox {CO}_2\) network design problems and \(\hbox {CO}_2\) storage problems. Through the combination of technical and economic analysis of carbon capture and storage technologies, possible directions for sustainable developments of low-carbon energy economy can be evaluated.

Keywords

CCS Carbon capture Carbon storage \(\hbox {CO}_2\) \(\hbox {CO}_2{\hbox { pipeline network}}\)  Carbon sequestration Techno-economic analysis Energy system expansion planning Mathematical programming Optimization models 

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yuping Huang
    • 1
  • Steffen Rebennack
    • 2
  • Qipeng P. Zheng
    • 3
  1. 1.Department of Industrial Engineering and Management SystemsUniversity of Central FloridaOrlandoUSA
  2. 2.Division of Economics and BusinessColorado School of MinesGoldenUSA
  3. 3.Department of Industrial Engineering and Management SystemsUniversity of Central FloridaOrlandoUSA

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