Optimal Utilization of Natural Gas Pipeline Storage Capacity Under Future Supply Uncertainty

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Authors

Kazda, Kody
Tomasgard, Asgeir
Norstebo, Vibeke
Li, Xiang

Date

2020-05-07

Type

journal article

Language

en

Keyword

Natural gas , Linepack , Piecewise-Linear Approximation , Compressor Modeling , Uncertainty , MILP

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Abstract

The ability of pipelines to store gas by increasing their operating pressure, or linepacking, is a common operational practice used to mitigate future operational uncertainty. The optimal operation of a gas pipeline network considering linepacking is determined by weighing the trade-off between storing linepack and compressor power consumption. Existing compressor performance models do not accurately capture the rigorous nonlinear operating relationships, and the more accurate widely-used models are computationally complex. This paper develops a novel integer-linear data-driven compressor performance model which is shown to be both more accurate than the best existing model, and less computationally complex. An integer-linear gas transportation model that captures future operational uncertainty using a two-stage multi-period stochastic framework is introduced and solved in a case study on a subnetwork of the Norwegian natural gas network. The case study demonstrates the novel model is highly accurate and can be optimized quickly enough for real-time decision support.

Description

The final publication is available at Elsevier via https://doi.org/10.1016/j.compchemeng.2020.106882 ©2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/

Citation

Kody Kazda, Asgeir Tomasgard, Vibeke Nørstebø, Xiang Li, Optimal Utilization of Natural Gas Pipeline Storage Capacity Under Future Supply Uncertainty, Computers and Chemical Engineering (2020), doi: https://doi.org/10.1016/j.compchemeng.2020.106882

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Elsevier

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EISSN