Optimal Utilization of Natural Gas Pipeline Storage Capacity Under Future Supply Uncertainty
| Autor: | Xiang Li, Kody Kazda, Vibeke Stærkebye Nørstebø, Asgeir Tomasgard |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Decision support system
021103 operations research Computer science business.industry 020209 energy General Chemical Engineering 0211 other engineering and technologies Linepack Uncertainty 02 engineering and technology Natural gas Pipeline (software) Computer Science Applications Reliability engineering Pipeline transport Nonlinear system Power consumption 0202 electrical engineering electronic engineering information engineering Compressor Modeling Piecewise-Linear Approximation business Gas compressor Subnetwork MILP |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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