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Optimizing gas entry–exit capacity utilization under uncertainty

Berend Markhorst et al.

Computational Management Science2026https://doi.org/10.1007/s10287-025-00552-3article
AJG 1ABDC B
Weight
0.37

Abstract

Natural gas is vital to Europe's energy system, with Norway supplying 30% of European gas demand. Effective management of entry-exit capacity in the Norwegian network can enhance market efficiency and energy security, but is far from trivial due to uncertain demand and prices. This study develops a stochastic programming model to determine optimal capacity allocation under uncertainty, with a focus on scalability. Concerned about network stability, operators tend to be risk averse in deviating from their initial decisions when allocating bookable capacities. We use our model in a case study on Norway's gas pipeline network and find that moderating risk aversion can yield considerable system welfare gains. Additionally, we give insights into the system bottlenecks for policymakers and industry stakeholders and show the value of flexibility in this context. Finally, we provide a comprehensive dataset to advance future research.

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https://doi.org/https://doi.org/10.1007/s10287-025-00552-3

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@article{berend2026,
  title        = {{Optimizing gas entry–exit capacity utilization under uncertainty}},
  author       = {Berend Markhorst et al.},
  journal      = {Computational Management Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10287-025-00552-3},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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