Optimal scheduling for enhanced coal bed methane production through CO2 injection
Abbreviated Journal Title
Appl. Energy
Keywords
Coal bed methane production; CO2 injection; Multistage stochastic; programming; Nonlinear programs; Optimal scheduling; OPTIMIZATION MODEL; MITIGATION OPTIONS; POWER-GENERATION; BITUMINOUS; COAL; SEQUESTRATION; SIMULATION; ISOTHERMS; EXPANSION; SYSTEM; BASIN; Energy & Fuels; Engineering, Chemical
Abstract
Enhanced coal bed methane production with CO2 injection (CO2-ECBM) is an effective technology for accessing the natural gas embedded in the traditionally unmineable coal seams. The revenue via this production process is generated not only by the sales of coal bed methane, but also by trading CO2 credits in the carbon market. As the technology of CO2-ECBM becomes mature, its commercialization opportunities are also springing up. This paper proposes applicable mathematical models for CO2-ECBM production and compares the impacts of their production schedules on the total profit. A novel basic deterministic model for CO2-ECBM production including the technical and chemical details is proposed and then a multistage stochastic programming model is formulated in order to address uncertainties of natural gas price and CO2 credit. Both models are nonlinear programming problems, which are solved by commercial nonlinear programming software BARON via GAMS. Numerical experiments show the benefits (e.g., expected profit gain) of using stochastic models versus deterministic models. (C) 2013 Elsevier Ltd. All rights reserved.
Journal Title
Applied Energy
Volume
113
Publication Date
1-1-2014
Document Type
Article
Language
English
First Page
1475
Last Page
1483
WOS Identifier
ISSN
0306-2619
Recommended Citation
"Optimal scheduling for enhanced coal bed methane production through CO2 injection" (2014). Faculty Bibliography 2010s. 5481.
https://stars.library.ucf.edu/facultybib2010/5481
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