Multiperiod Stochastic Optimization Model for Carbon Capture and Storage Infrastructure under Uncertainty in CO2 Emissions, Product Prices, and Operating Costs

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• 作者：Jee-Hoon Han ; In-Beum Lee
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2012
• 出版时间：September 5, 2012
• 年：2012
• 卷：51
• 期：35
• 页码：11445-11457
• 全文大小：476K
• 年卷期：v.51,no.35(September 5, 2012)
• ISSN：1520-5045

文摘

A multiperiod stochastic programming model is developed for planning a carbon capture and storage (CCS) infrastructure including CO₂ utilization and disposal in an uncertain environment and with a time-varying investment environment. An inexact two-stage stochastic programming approach is used to analyze the effect of possible uncertainties in product prices, operating costs, and CO₂ emissions. The proposed model determines where and how much CO₂ to capture, store, transport, utilize, or sequester for the purpose of maximizing the total profit of handling the uncertainty while meeting the CO₂ mitigation target during each time period of a given planning interval. The capability of the proposed model to provide correct decisions despite a changing uncertain environment is tested by applying it to designing and operating the future CCS infrastructure on the eastern coast of Korea over a 20-year planning interval (2011鈥?030).