Optimal scheduling for enhanced coal bed methane production through CO2 injection

Yuping Huang, Qipeng P. Zheng, Neng Fan, Kashy Aminian

Research output: Contribution to journalArticlepeer-review

58 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1475-1483
Number of pages9
JournalApplied Energy
StatePublished - Jan 2014


  • Coal bed methane production
  • Multistage stochastic programming
  • Nonlinear programs
  • Optimal scheduling

ASJC Scopus subject areas

  • Mechanical Engineering
  • Energy(all)
  • Management, Monitoring, Policy and Law
  • Building and Construction
  • Renewable Energy, Sustainability and the Environment


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