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Assessing the value of power interconnections under climate and natural gas price risks

Author

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  • Pineau, P.-O.
  • Dupuis, D.J.
  • Cenesizoglu, T.

Abstract

The value of transmission capacity is hard to assess due to the presence of different issues: physics of power networks, economics of power systems and reliability criteria. Evolving supply and demand trends, however, create interest in increased transmission capacity, especially between jurisdictions with complementarities. Assessing the value of such interconnections is key in analyzing the viability of these projects. Based on a data set containing 10 years of hourly power flows and prices, daily temperature and natural gas prices, as well as climate change forecasts for 2020 and 2050, we simulate export revenues for a DC (direct current) interconnection between Quebec (Canada) and New York (US) under different natural gas price scenarios and extreme heat events. Our innovative approach, combined with an extensive data set, provides a prospective assessment of the value of new transmission projects. Our results suggest that future natural gas prices would be the main driving factor of future revenues on a transmission line, with climate change having a relatively much smaller impact on future revenues.

Suggested Citation

  • Pineau, P.-O. & Dupuis, D.J. & Cenesizoglu, T., 2015. "Assessing the value of power interconnections under climate and natural gas price risks," Energy, Elsevier, vol. 82(C), pages 128-137.
  • Handle: RePEc:eee:energy:v:82:y:2015:i:c:p:128-137
    DOI: 10.1016/j.energy.2014.12.078
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    References listed on IDEAS

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    Cited by:

    1. Saldarriaga-C., Carlos A. & Salazar, Harold, 2016. "Security of the Colombian energy supply: The need for liquefied natural gas regasification terminals for power and natural gas sectors," Energy, Elsevier, vol. 100(C), pages 349-362.
    2. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Georgiadis, Michael C. & Papaioannou, George & Dikaiakos, Christos, 2016. "A mid-term, market-based power systems planning model," Applied Energy, Elsevier, vol. 179(C), pages 17-35.

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