Design under uncertainty of carbon capture and storage infrastructure considering cost, environmental impact, and preference on risk
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SCOPUS
- Title
- Design under uncertainty of carbon capture and storage infrastructure considering cost, environmental impact, and preference on risk
- Authors
- Lee, Suh-Young; Lee, Jae-Uk; Lee, In-Beum; Han, Jeehoon
- Date Issued
- 2017-03
- Publisher
- Elsevier
- Abstract
- We present a stochastic decision-making algorithm for the design and operation of a carbon capture and storage (CCS) network; the algorithm incorporates the decision-maker's tolerance of risk caused by uncertainties. Given a set of available resources to capture, store, and transport CO2, the algorithm provides an optimal plan of the CCS infrastructure and a CCS assessment method, while minimizing annual cost, environmental impact, and risk under uncertainties. The model uses the concept of downside risk to explicitly incorporate the trade-off between risk and either economic or environmental objectives at the decision-making level. A two-phase-two-stage stochastic multi-objective optimization problem (2P2SSMOOP) solving approach is implemented to consider uncertainty, and the s-constraint method is used to evaluate the interaction between total annual cost with financial risk and an Eco-indicator 99 score with environmental risk. The environmental impact is measured by Life Cycle Assessment (LCA) considering all contributions made by operation and installation of a CCS infrastructure. A case study of power-plant CO2 emission in Korea is presented to illustrate the application of the proposed modeling and solution method.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/50113
- DOI
- 10.1016/j.apenergy.2016.12.066
- ISSN
- 0306-2619
- Article Type
- Article
- Citation
- Applied Energy, vol. 189, page. 725 - 738, 2017-03
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