A Quasi Exact Solution Approach for Scheduling Enhanced Coal Bed Methane Production Through CO2 Injection

Yuping Huang (), Anees Rahil () and Qipeng P. Zheng ()
Additional contact information
Yuping Huang: University of Central Florida, Department of Industrial Engineering and Management Systems
Anees Rahil: West Virginia University, Department of Industrial and Management Systems Engineering
Qipeng P. Zheng: University of Central Florida, Department of Industrial Engineering and Management Systems

A chapter in Optimization in Science and Engineering, 2014, pp 247-261 from Springer

Abstract: Abstract The purpose of this research is to provide an easily accessible, effective and efficient solution method for the profit-maximization scheduling problem for CO2-enhanced coal bed methane (ECBM) production. ECBM has been a mature technology which can further extend the value of the unminable coal mines. The total profit of the production is based on the revenue generated by the methane produced as well as CO2 credits earned from the carbon market, and the production cost of the methane along with the CO2 operational cost. This scheduling problem is formulated as a nonlinear optimization program which includes bilinear terms in the constraints due to the modeling of physical reactions. In this paper, we use a quasi exact solution technique to solve the problem, where bilinear terms are eliminated by a discretization and linearization procedure. The original problem is then transformed to a mixed integer linear program with binary variables representing the discretization of the continuous fractional variables involved in those nonlinear constraints. This approach is yielding an equivalent program when enough binary variables are used. Numerical experiments show that this method can be easily implemented and yield almost exact solutions in reasonable computational times.

Keywords: Coal Seam; Mixed Integer Linear Programming; Bilinear Term; Mixed Integer Linear Programming Formulation; Mixed Integer Linear Programming Problem (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4939-0808-0_12

Ordering information: This item can be ordered from
http://www.springer.com/9781493908080

DOI: 10.1007/978-1-4939-0808-0_12

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().