Dual-Interval Optimization Modeling for the Planning of Natural Gas Pipeline Systems

Date
2012-06
Authors
Zhang, Jingyu
Journal Title
Journal ISSN
Volume Title
Publisher
Faculty of Graduate Studies and Research, University of Regina
Abstract

Natural gas (NG) pipeline network, a major mode of transportation, requires optimized operations and management in order to ensure stable and efficient gas supplies. To provide such optimal solutions, pipeline systems modeling is a widely used method. The interactions among upstream, midstream, and downstream sectors could be clearly defined and addressed by developing mathematical models for pipeline systems. However, in the real world, the market demand of NG usually cannot be deterministic values, and floating demand is the more common situation. Furthermore, the range of floating demand also cannot be determined. Therefore, it involves dual-interval uncertainties. Currently, in the field of energy systems planning, the studies of optimization models under dual-interval uncertainties are still limited, especially in NG pipeline transportation research. In order to address the issues of NG optimization modeling under dual-interval uncertainties, in this research, a dual-interval energy systems planning model (DIESPM) and a dual-interval NG pipeline systems planning model (DIPSPM) are developed. The DIESPM is to deal with the uncertainties expressed in dual-interval format in energy systems planning. The DIPSPM is applied to “Se Ning Lan” NG pipeline systems (SNLPS) in northwest China. The optimized planning solutions for SNLPS indicate that the developed model can provide an integrative gas transmission plan to reflect the dual uncertainties of gas demand. Meanwhile, the model can be adaptable to various situations and could be applied to other NG pipeline networks by adjusting parameters.

Description
A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Environmental Systems Engineering, University of Regina. x, 153 l.
Keywords
Citation
Collections