A novel stochastic programming model under endogenous uncertainty for the CCS-EOR planning problem

•Joint CCS-EOR planning in a multi-reservoir EOR system and a long-term horizon is studied.•The deterministic model proposed in the literature is improved by reducing the binary variables.•The deterministic model is extended to stochastic with endogenous uncertainty. Computational experiments over t...

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Vydané v:	Applied energy Ročník 338; s. 120605
Hlavní autori:	Abdoli, B., Hooshmand, F., MirHassani, S.A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.05.2023
Predmet:	carbon dioxide Carbon-capture-and-storage case studies cost effectiveness Decision-dependent uncertainty deterministic models energy Enhanced-oil-recovery Multi-stage stochastic programming Non-anticipativity constraints oils stochastic processes uncertainty Value of stochastic solution Multi-stage stochastic programming Value of stochastic solution Carbon-capture-and-storage Decision-dependent uncertainty Non-anticipativity constraints Enhanced-oil-recovery
ISSN:	0306-2619, 1872-9118
On-line prístup:	Získať plný text
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