Scholarlink

<p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimizing gas entry–exit capacity utilization under uncertainty

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月19日

查看全文
  • Berend Markhorst,
  • Ruurd Buijs,
  • Ruud Egging-Bratseth,
  • Rob van der Mei

摘要

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.